id	sid	tid	token	lemma	pos
cana-1706	1	1	communications	communication	NOUN
cana-1706	1	2	on	on	ADP
cana-1706	1	3	applied	apply	VERB
cana-1706	1	4	nonlinear	nonlinear	ADJ
cana-1706	1	5	analysis	analysis	NOUN
cana-1706	1	6	issn	issn	NOUN
cana-1706	1	7	:	:	PUNCT
cana-1706	1	8	1074	1074	NUM
cana-1706	1	9	-	-	PUNCT
cana-1706	1	10	133x	133x	NUM
cana-1706	1	11	vol	vol	NOUN
cana-1706	1	12	32	32	NUM
cana-1706	1	13	no	no	NOUN
cana-1706	1	14	.	.	NOUN
cana-1706	1	15	2	2	NUM
cana-1706	1	16	(	(	PUNCT
cana-1706	1	17	2025	2025	NUM
cana-1706	1	18	)	)	PUNCT
cana-1706	1	19	28	28	NUM
cana-1706	1	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	1	21	a	a	DET
cana-1706	1	22	mathematical	mathematical	ADJ
cana-1706	1	23	model	model	NOUN
cana-1706	1	24	for	for	ADP
cana-1706	1	25	enhancing	enhance	VERB
cana-1706	1	26	cybersecurity	cybersecurity	NOUN
cana-1706	1	27	in	in	ADP
cana-1706	1	28	iot	iot	ADJ
cana-1706	1	29	networks	network	NOUN
cana-1706	1	30	using	use	VERB
cana-1706	1	31	lstm	lstm	NOUN
cana-1706	1	32	-	-	PUNCT
cana-1706	1	33	based	base	VERB
cana-1706	1	34	anomaly	anomaly	NOUN
cana-1706	1	35	detection	detection	NOUN
cana-1706	1	36	and	and	CCONJ
cana-1706	1	37	optimization	optimization	NOUN
cana-1706	1	38	dr	dr	PROPN
cana-1706	1	39	.	.	PROPN
cana-1706	1	40	j	j	PROPN
cana-1706	1	41	merlin	merlin	PROPN
cana-1706	1	42	florrence1	florrence1	PROPN
cana-1706	1	43	,	,	PUNCT
cana-1706	1	44	mrs	mrs	PROPN
cana-1706	1	45	.	.	PROPN
cana-1706	1	46	a.	a.	PROPN
cana-1706	1	47	antoinette2	antoinette2	PROPN
cana-1706	1	48	,	,	PUNCT
cana-1706	1	49	mrs	mrs	PROPN
cana-1706	1	50	.	.	PROPN
cana-1706	1	51	s.	s.	PROPN
cana-1706	1	52	buvaneswari3	buvaneswari3	PROPN
cana-1706	1	53	,	,	PUNCT
cana-1706	1	54	dr	dr	PROPN
cana-1706	1	55	.	.	PROPN
cana-1706	1	56	anil	anil	PROPN
cana-1706	1	57	l.	l.	PROPN
cana-1706	1	58	wanare4	wanare4	PROPN
cana-1706	1	59	,	,	PUNCT
cana-1706	1	60	dr	dr	PROPN
cana-1706	1	61	.	.	PROPN
cana-1706	1	62	avneesh	avneesh	PROPN
cana-1706	1	63	vashistha5	vashistha5	PROPN
cana-1706	1	64	,	,	PUNCT
cana-1706	1	65	madhukar	madhukar	PROPN
cana-1706	1	66	mulpuri6	mulpuri6	PROPN
cana-1706	1	67	,	,	PUNCT
cana-1706	1	68	dr	dr	PROPN
cana-1706	1	69	.	.	PROPN
cana-1706	1	70	r.	r.	PROPN
cana-1706	1	71	rambabu7	rambabu7	PROPN
cana-1706	2	1	1assistant	1assistant	NUM
cana-1706	2	2	professor	professor	NOUN
cana-1706	2	3	,	,	PUNCT
cana-1706	2	4	department	department	NOUN
cana-1706	2	5	of	of	ADP
cana-1706	2	6	computer	computer	NOUN
cana-1706	2	7	science	science	NOUN
cana-1706	2	8	,	,	PUNCT
cana-1706	2	9	sacred	sacred	ADJ
cana-1706	2	10	heart	heart	NOUN
cana-1706	2	11	college	college	NOUN
cana-1706	2	12	,	,	PUNCT
cana-1706	2	13	merlinflorrence@gmail.com	merlinflorrence@gmail.com	PROPN
cana-1706	2	14	2assistant	2assistant	NUM
cana-1706	2	15	professor	professor	NOUN
cana-1706	2	16	,	,	PUNCT
cana-1706	2	17	department	department	NOUN
cana-1706	2	18	of	of	ADP
cana-1706	2	19	computer	computer	NOUN
cana-1706	2	20	science	science	NOUN
cana-1706	2	21	,	,	PUNCT
cana-1706	2	22	avvaiyar	avvaiyar	PROPN
cana-1706	2	23	govt	govt	NOUN
cana-1706	2	24	.	.	PUNCT
cana-1706	3	1	college	college	NOUN
cana-1706	3	2	for	for	ADP
cana-1706	3	3	women	woman	NOUN
cana-1706	3	4	,	,	PUNCT
cana-1706	3	5	karaikal	karaikal	NOUN
cana-1706	3	6	.	.	PUNCT
cana-1706	4	1	antkkl@gmail.com	antkkl@gmail.com	X
cana-1706	5	1	3assistant	3assistant	NUM
cana-1706	5	2	professor	professor	NOUN
cana-1706	5	3	,	,	PUNCT
cana-1706	5	4	department	department	NOUN
cana-1706	5	5	of	of	ADP
cana-1706	5	6	computer	computer	NOUN
cana-1706	5	7	science	science	NOUN
cana-1706	5	8	,	,	PUNCT
cana-1706	5	9	avvaiyar	avvaiyar	PROPN
cana-1706	5	10	govt	govt	NOUN
cana-1706	5	11	.	.	PUNCT
cana-1706	6	1	college	college	NOUN
cana-1706	6	2	for	for	ADP
cana-1706	6	3	women	woman	NOUN
cana-1706	6	4	,	,	PUNCT
cana-1706	6	5	karaikal	karaikal	NOUN
cana-1706	6	6	.	.	PUNCT
cana-1706	7	1	buvanishaa145@gmail.com	buvanishaa145@gmail.com	X
cana-1706	7	2	4professor	4professor	NUM
cana-1706	7	3	,	,	PUNCT
cana-1706	7	4	e&tc	e&tc	PROPN
cana-1706	7	5	engg	engg	PROPN
cana-1706	7	6	dept	dept	PROPN
cana-1706	7	7	,	,	PUNCT
cana-1706	7	8	jspm	jspm	PROPN
cana-1706	7	9	’s	’s	PART
cana-1706	7	10	bhivarabai	bhivarabai	PROPN
cana-1706	7	11	sawant	sawant	PROPN
cana-1706	7	12	institute	institute	PROPN
cana-1706	7	13	of	of	ADP
cana-1706	7	14	technology	technology	PROPN
cana-1706	7	15	and	and	CCONJ
cana-1706	7	16	research	research	NOUN
cana-1706	7	17	,	,	PUNCT
cana-1706	7	18	pune	pune	NOUN
cana-1706	7	19	,	,	PUNCT
cana-1706	7	20	savitribai	savitribai	VERB
cana-1706	7	21	phule	phule	PROPN
cana-1706	7	22	pune	pune	PROPN
cana-1706	7	23	university	university	PROPN
cana-1706	7	24	,	,	PUNCT
cana-1706	7	25	pune	pune	NOUN
cana-1706	7	26	,	,	PUNCT
cana-1706	7	27	anillaxman369@gmail.com	anillaxman369@gmail.com	X
cana-1706	8	1	5associate	5associate	PROPN
cana-1706	8	2	professor	professor	NOUN
cana-1706	8	3	,	,	PUNCT
cana-1706	8	4	department	department	NOUN
cana-1706	8	5	of	of	ADP
cana-1706	8	6	computer	computer	NOUN
cana-1706	8	7	science	science	NOUN
cana-1706	8	8	and	and	CCONJ
cana-1706	8	9	engineeing	engineeing	ADJ
cana-1706	8	10	,	,	PUNCT
cana-1706	8	11	srm	srm	PROPN
cana-1706	8	12	institute	institute	PROPN
cana-1706	8	13	of	of	ADP
cana-1706	8	14	science	science	NOUN
cana-1706	8	15	and	and	CCONJ
cana-1706	8	16	technology	technology	NOUN
cana-1706	8	17	,	,	PUNCT
cana-1706	8	18	delhi	delhi	PROPN
cana-1706	8	19	-	-	PUNCT
cana-1706	8	20	ncr	ncr	PROPN
cana-1706	8	21	campus	campus	NOUN
cana-1706	8	22	,	,	PUNCT
cana-1706	8	23	modinagar	modinagar	ADJ
cana-1706	8	24	,	,	PUNCT
cana-1706	8	25	ghaziabad(u.p	ghaziabad(u.p	PROPN
cana-1706	8	26	)	)	PUNCT
cana-1706	8	27	india	india	PROPN
cana-1706	8	28	.	.	PUNCT
cana-1706	9	1	avneeshvashishtha@gmail.com	avneeshvashishtha@gmail.com	X
cana-1706	10	1	6senior	6senior	NUM
cana-1706	10	2	staff	staff	NOUN
cana-1706	10	3	engineer	engineer	NOUN
cana-1706	10	4	,	,	PUNCT
cana-1706	10	5	nium	nium	PROPN
cana-1706	10	6	inc	inc	PROPN
cana-1706	10	7	,	,	PUNCT
cana-1706	10	8	connectmadhukar@gmail.com	connectmadhukar@gmail.com	PROPN
cana-1706	11	1	7professor	7professor	PROPN
cana-1706	11	2	&	&	CCONJ
cana-1706	11	3	hod	hod	PROPN
cana-1706	11	4	,	,	PUNCT
cana-1706	11	5	department	department	NOUN
cana-1706	11	6	of	of	ADP
cana-1706	11	7	computer	computer	NOUN
cana-1706	11	8	science	science	PROPN
cana-1706	11	9	&	&	CCONJ
cana-1706	11	10	engineering	engineering	PROPN
cana-1706	11	11	,	,	PUNCT
cana-1706	11	12	rajamahendri	rajamahendri	PROPN
cana-1706	11	13	institute	institute	PROPN
cana-1706	11	14	of	of	ADP
cana-1706	11	15	engineering	engineering	PROPN
cana-1706	11	16	&	&	CCONJ
cana-1706	11	17	technology	technology	PROPN
cana-1706	11	18	,	,	PUNCT
cana-1706	11	19	rajamahendravaram	rajamahendravaram	PROPN
cana-1706	11	20	.	.	PUNCT
cana-1706	12	1	rambabureddy.rampatruni@gmail.com	rambabureddy.rampatruni@gmail.com	X
cana-1706	12	2	article	article	NOUN
cana-1706	12	3	history	history	NOUN
cana-1706	12	4	:	:	PUNCT
cana-1706	12	5	received	receive	VERB
cana-1706	12	6	:	:	PUNCT
cana-1706	12	7	20	20	NUM
cana-1706	12	8	-	-	SYM
cana-1706	12	9	07	07	NUM
cana-1706	12	10	-	-	PUNCT
cana-1706	12	11	2024	2024	NUM
cana-1706	12	12	revised	revise	VERB
cana-1706	12	13	:	:	PUNCT
cana-1706	12	14	31	31	NUM
cana-1706	12	15	-	-	SYM
cana-1706	12	16	08	08	NUM
cana-1706	12	17	-	-	PUNCT
cana-1706	12	18	2024	2024	NUM
cana-1706	12	19	accepted	accept	VERB
cana-1706	12	20	:	:	PUNCT
cana-1706	12	21	14	14	NUM
cana-1706	12	22	-	-	SYM
cana-1706	12	23	09	09	NUM
cana-1706	12	24	-	-	PUNCT
cana-1706	12	25	2024	2024	NUM
cana-1706	12	26	abstract	abstract	NOUN
cana-1706	12	27	:	:	PUNCT
cana-1706	12	28	the	the	DET
cana-1706	12	29	widespread	widespread	ADJ
cana-1706	12	30	adoption	adoption	NOUN
cana-1706	12	31	of	of	ADP
cana-1706	12	32	internet	internet	NOUN
cana-1706	12	33	-	-	PUNCT
cana-1706	12	34	of	of	ADP
cana-1706	12	35	-	-	PUNCT
cana-1706	12	36	things	thing	NOUN
cana-1706	12	37	(	(	PUNCT
cana-1706	12	38	iot	iot	NOUN
cana-1706	12	39	)	)	PUNCT
cana-1706	12	40	devices	device	NOUN
cana-1706	12	41	has	have	AUX
cana-1706	12	42	heralded	herald	VERB
cana-1706	12	43	an	an	DET
cana-1706	12	44	explosion	explosion	NOUN
cana-1706	12	45	in	in	ADP
cana-1706	12	46	potential	potential	ADJ
cana-1706	12	47	attack	attack	NOUN
cana-1706	12	48	surfaces	surface	NOUN
cana-1706	12	49	with	with	ADP
cana-1706	12	50	varying	vary	VERB
cana-1706	12	51	capabilities	capability	NOUN
cana-1706	12	52	and	and	CCONJ
cana-1706	12	53	a	a	DET
cana-1706	12	54	wide	wide	ADJ
cana-1706	12	55	variety	variety	NOUN
cana-1706	12	56	of	of	ADP
cana-1706	12	57	vulnerabilities	vulnerability	NOUN
cana-1706	12	58	.	.	PUNCT
cana-1706	13	1	because	because	SCONJ
cana-1706	13	2	of	of	ADP
cana-1706	13	3	this	this	PRON
cana-1706	13	4	,	,	PUNCT
cana-1706	13	5	iot	iot	PROPN
cana-1706	13	6	networks	network	NOUN
cana-1706	13	7	have	have	AUX
cana-1706	13	8	become	become	VERB
cana-1706	13	9	a	a	DET
cana-1706	13	10	favorable	favorable	ADJ
cana-1706	13	11	choice	choice	NOUN
cana-1706	13	12	for	for	ADP
cana-1706	13	13	many	many	ADJ
cana-1706	13	14	cyber	cyber	NOUN
cana-1706	13	15	-	-	PUNCT
cana-1706	13	16	attacks	attack	NOUN
cana-1706	13	17	due	due	ADP
cana-1706	13	18	to	to	ADP
cana-1706	13	19	the	the	DET
cana-1706	13	20	difficulty	difficulty	NOUN
cana-1706	13	21	and	and	CCONJ
cana-1706	13	22	complexity	complexity	NOUN
cana-1706	13	23	that	that	SCONJ
cana-1706	13	24	traditional	traditional	ADJ
cana-1706	13	25	cybersecurity	cybersecurity	NOUN
cana-1706	13	26	approaches	approach	NOUN
cana-1706	13	27	face	face	VERB
cana-1706	13	28	in	in	ADP
cana-1706	13	29	managing	manage	VERB
cana-1706	13	30	these	these	DET
cana-1706	13	31	types	type	NOUN
cana-1706	13	32	of	of	ADP
cana-1706	13	33	networks	network	NOUN
cana-1706	13	34	with	with	ADP
cana-1706	13	35	large	large	ADJ
cana-1706	13	36	numbers	number	NOUN
cana-1706	13	37	up	up	ADP
cana-1706	13	38	to	to	PART
cana-1706	13	39	millions	million	NOUN
cana-1706	13	40	of	of	ADP
cana-1706	13	41	users	user	NOUN
cana-1706	13	42	leading	lead	VERB
cana-1706	13	43	these	these	DET
cana-1706	13	44	attacks	attack	NOUN
cana-1706	13	45	to	to	PART
cana-1706	13	46	pose	pose	VERB
cana-1706	13	47	significant	significant	ADJ
cana-1706	13	48	risks	risk	NOUN
cana-1706	13	49	from	from	ADP
cana-1706	13	50	anomalous	anomalous	ADJ
cana-1706	13	51	behavior	behavior	NOUN
cana-1706	13	52	.	.	PUNCT
cana-1706	14	1	current	current	ADJ
cana-1706	14	2	approaches	approach	NOUN
cana-1706	14	3	such	such	ADJ
cana-1706	14	4	as	as	ADP
cana-1706	14	5	rule	rule	NOUN
cana-1706	14	6	-	-	PUNCT
cana-1706	14	7	based	base	VERB
cana-1706	14	8	intrusion	intrusion	NOUN
cana-1706	14	9	detection	detection	NOUN
cana-1706	14	10	system	system	NOUN
cana-1706	14	11	(	(	PUNCT
cana-1706	14	12	ids	id	NOUN
cana-1706	14	13	)	)	PUNCT
cana-1706	14	14	and	and	CCONJ
cana-1706	14	15	signature	signature	NOUN
cana-1706	14	16	-	-	PUNCT
cana-1706	14	17	based	base	VERB
cana-1706	14	18	models	model	NOUN
cana-1706	14	19	are	be	AUX
cana-1706	14	20	inadequate	inadequate	ADJ
cana-1706	14	21	to	to	PART
cana-1706	14	22	be	be	AUX
cana-1706	14	23	utilised	utilise	VERB
cana-1706	14	24	in	in	ADP
cana-1706	14	25	the	the	DET
cana-1706	14	26	dynamic	dynamic	ADJ
cana-1706	14	27	iot	iot	NOUN
cana-1706	14	28	enclaves	enclave	NOUN
cana-1706	14	29	where	where	SCONJ
cana-1706	14	30	they	they	PRON
cana-1706	14	31	tend	tend	VERB
cana-1706	14	32	to	to	PART
cana-1706	14	33	generate	generate	VERB
cana-1706	14	34	too	too	ADV
cana-1706	14	35	many	many	ADJ
cana-1706	14	36	false	false	ADJ
cana-1706	14	37	positives	positive	NOUN
cana-1706	14	38	and	and	CCONJ
cana-1706	14	39	may	may	AUX
cana-1706	14	40	miss	miss	VERB
cana-1706	14	41	unknown	unknown	ADJ
cana-1706	14	42	threats	threat	NOUN
cana-1706	14	43	.	.	PUNCT
cana-1706	15	1	in	in	ADP
cana-1706	15	2	this	this	DET
cana-1706	15	3	study	study	NOUN
cana-1706	15	4	,	,	PUNCT
cana-1706	15	5	motivated	motivate	VERB
cana-1706	15	6	by	by	ADP
cana-1706	15	7	hybrid	hybrid	ADJ
cana-1706	15	8	methods	method	NOUN
cana-1706	15	9	utilizing	utilize	VERB
cana-1706	15	10	machine	machine	NOUN
cana-1706	15	11	learningbased	learningbase	VERB
cana-1706	15	12	anomaly	anomaly	NOUN
cana-1706	15	13	detection	detection	NOUN
cana-1706	15	14	wrapped	wrap	VERB
cana-1706	15	15	around	around	ADP
cana-1706	15	16	optimization	optimization	NOUN
cana-1706	15	17	algorithms	algorithm	NOUN
cana-1706	15	18	,	,	PUNCT
cana-1706	15	19	we	we	PRON
cana-1706	15	20	suggest	suggest	VERB
cana-1706	15	21	a	a	DET
cana-1706	15	22	full	full	ADV
cana-1706	15	23	-	-	PUNCT
cana-1706	15	24	fledged	fledged	ADJ
cana-1706	15	25	mathematical	mathematical	ADJ
cana-1706	15	26	model	model	NOUN
cana-1706	15	27	applying	apply	VERB
cana-1706	15	28	these	these	DET
cana-1706	15	29	possible	possible	ADJ
cana-1706	15	30	solutions	solution	NOUN
cana-1706	15	31	for	for	ADP
cana-1706	15	32	cybersecurity	cybersecurity	NOUN
cana-1706	15	33	in	in	ADP
cana-1706	15	34	iot	iot	PROPN
cana-1706	15	35	networks	network	NOUN
cana-1706	15	36	.	.	PUNCT
cana-1706	16	1	this	this	DET
cana-1706	16	2	model	model	NOUN
cana-1706	16	3	uses	use	VERB
cana-1706	16	4	a	a	DET
cana-1706	16	5	variety	variety	NOUN
cana-1706	16	6	of	of	ADP
cana-1706	16	7	unsupervised	unsupervised	ADJ
cana-1706	16	8	learning	learning	NOUN
cana-1706	16	9	techniques	technique	NOUN
cana-1706	16	10	in	in	ADP
cana-1706	16	11	order	order	NOUN
cana-1706	16	12	to	to	PART
cana-1706	16	13	detect	detect	VERB
cana-1706	16	14	and	and	CCONJ
cana-1706	16	15	remediate	remediate	VERB
cana-1706	16	16	new	new	ADJ
cana-1706	16	17	threats	threat	NOUN
cana-1706	16	18	dynamically	dynamically	ADV
cana-1706	16	19	at	at	ADP
cana-1706	16	20	run	run	NOUN
cana-1706	16	21	time	time	NOUN
cana-1706	16	22	.	.	PUNCT
cana-1706	17	1	the	the	DET
cana-1706	17	2	models	model	NOUN
cana-1706	17	3	learn	learn	VERB
cana-1706	17	4	the	the	DET
cana-1706	17	5	optimal	optimal	ADJ
cana-1706	17	6	thresholds	threshold	NOUN
cana-1706	17	7	for	for	ADP
cana-1706	17	8	detection	detection	NOUN
cana-1706	17	9	and	and	CCONJ
cana-1706	17	10	resource	resource	NOUN
cana-1706	17	11	allocation	allocation	NOUN
cana-1706	17	12	to	to	PART
cana-1706	17	13	perform	perform	VERB
cana-1706	17	14	the	the	DET
cana-1706	17	15	fastest	fast	ADJ
cana-1706	17	16	possible	possible	ADJ
cana-1706	17	17	response	response	NOUN
cana-1706	17	18	under	under	ADP
cana-1706	17	19	low	low	ADJ
cana-1706	17	20	resources	resource	NOUN
cana-1706	17	21	constraints	constraint	NOUN
cana-1706	17	22	,	,	PUNCT
cana-1706	17	23	by	by	ADP
cana-1706	17	24	leveraging	leverage	VERB
cana-1706	17	25	optimization	optimization	NOUN
cana-1706	17	26	algorithms	algorithm	NOUN
cana-1706	17	27	like	like	ADP
cana-1706	17	28	genetic	genetic	ADJ
cana-1706	17	29	algorithm	algorithm	NOUN
cana-1706	17	30	or	or	CCONJ
cana-1706	17	31	particle	particle	NOUN
cana-1706	17	32	swarm	swarm	NOUN
cana-1706	17	33	optimization	optimization	NOUN
cana-1706	17	34	.	.	PUNCT
cana-1706	18	1	it	it	PRON
cana-1706	18	2	shows	show	VERB
cana-1706	18	3	a	a	DET
cana-1706	18	4	significant	significant	ADJ
cana-1706	18	5	enhancement	enhancement	NOUN
cana-1706	18	6	in	in	ADP
cana-1706	18	7	anomaly	anomaly	NOUN
cana-1706	18	8	detection	detection	NOUN
cana-1706	18	9	accuracy	accuracy	NOUN
cana-1706	18	10	and	and	CCONJ
cana-1706	18	11	reduction	reduction	NOUN
cana-1706	18	12	of	of	ADP
cana-1706	18	13	false	false	ADJ
cana-1706	18	14	positives	positive	NOUN
cana-1706	18	15	compared	compare	VERB
cana-1706	18	16	to	to	ADP
cana-1706	18	17	conventional	conventional	ADJ
cana-1706	18	18	methods	method	NOUN
cana-1706	18	19	.	.	PUNCT
cana-1706	19	1	nevertheless	nevertheless	ADV
cana-1706	19	2	,	,	PUNCT
cana-1706	19	3	problems	problem	NOUN
cana-1706	19	4	in	in	ADP
cana-1706	19	5	measurement	measurement	NOUN
cana-1706	19	6	overhead	overhead	ADV
cana-1706	19	7	,	,	PUNCT
cana-1706	19	8	model	model	NOUN
cana-1706	19	9	scalability	scalability	NOUN
cana-1706	19	10	and	and	CCONJ
cana-1706	19	11	management	management	NOUN
cana-1706	19	12	of	of	ADP
cana-1706	19	13	big	big	ADJ
cana-1706	19	14	iot	iot	ADJ
cana-1706	19	15	environments	environment	NOUN
cana-1706	19	16	characterized	characterize	VERB
cana-1706	19	17	by	by	ADP
cana-1706	19	18	low	low	ADJ
cana-1706	19	19	-	-	PUNCT
cana-1706	19	20	computation	computation	NOUN
cana-1706	19	21	resources	resource	NOUN
cana-1706	19	22	are	be	AUX
cana-1706	19	23	still	still	ADV
cana-1706	19	24	being	be	AUX
cana-1706	19	25	faced	face	VERB
cana-1706	19	26	.	.	PUNCT
cana-1706	20	1	nevertheless	nevertheless	ADV
cana-1706	20	2	,	,	PUNCT
cana-1706	20	3	the	the	DET
cana-1706	20	4	proposed	propose	VERB
cana-1706	20	5	model	model	NOUN
cana-1706	20	6	is	be	AUX
cana-1706	20	7	promising	promise	VERB
cana-1706	20	8	for	for	ADP
cana-1706	20	9	large	large	ADJ
cana-1706	20	10	-	-	PUNCT
cana-1706	20	11	scale	scale	NOUN
cana-1706	20	12	applications	application	NOUN
cana-1706	20	13	(	(	PUNCT
cana-1706	20	14	e.g.	e.g.	ADV
cana-1706	20	15	,	,	PUNCT
cana-1706	20	16	smart	smart	ADJ
cana-1706	20	17	cities	city	NOUN
cana-1706	20	18	,	,	PUNCT
cana-1706	20	19	industrial	industrial	ADJ
cana-1706	20	20	iot	iot	NOUN
cana-1706	20	21	,	,	PUNCT
cana-1706	20	22	and	and	CCONJ
cana-1706	20	23	healthcare	healthcare	PROPN
cana-1706	20	24	applications	application	NOUN
cana-1706	20	25	)	)	PUNCT
cana-1706	20	26	in	in	ADP
cana-1706	20	27	a	a	DET
cana-1706	20	28	critical	critical	ADJ
cana-1706	20	29	context	context	NOUN
cana-1706	20	30	where	where	SCONJ
cana-1706	20	31	cyber	cyber	NOUN
cana-1706	20	32	threats	threat	NOUN
cana-1706	20	33	should	should	AUX
cana-1706	20	34	be	be	AUX
cana-1706	20	35	detected	detect	VERB
cana-1706	20	36	on	on	ADP
cana-1706	20	37	time	time	NOUN
cana-1706	20	38	to	to	PART
cana-1706	20	39	help	help	VERB
cana-1706	20	40	guarantees	guarantee	NOUN
cana-1706	20	41	integrity	integrity	NOUN
cana-1706	20	42	of	of	ADP
cana-1706	20	43	operation	operation	NOUN
cana-1706	20	44	.	.	PUNCT
cana-1706	21	1	our	our	PRON
cana-1706	21	2	results	result	NOUN
cana-1706	21	3	indicate	indicate	VERB
cana-1706	21	4	that	that	SCONJ
cana-1706	21	5	a	a	DET
cana-1706	21	6	machine	machine	NOUN
cana-1706	21	7	learning	learning	NOUN
cana-1706	21	8	-	-	PUNCT
cana-1706	21	9	based	base	VERB
cana-1706	21	10	intrusion	intrusion	NOUN
cana-1706	21	11	detection	detection	NOUN
cana-1706	21	12	system	system	NOUN
cana-1706	21	13	in	in	ADP
cana-1706	21	14	conjunction	conjunction	NOUN
cana-1706	21	15	with	with	ADP
cana-1706	21	16	optimization	optimization	NOUN
cana-1706	21	17	techniques	technique	NOUN
cana-1706	21	18	can	can	AUX
cana-1706	21	19	be	be	AUX
cana-1706	21	20	developed	develop	VERB
cana-1706	21	21	into	into	ADP
cana-1706	21	22	solid	solid	ADJ
cana-1706	21	23	and	and	CCONJ
cana-1706	21	24	adaptable	adaptable	ADJ
cana-1706	21	25	cybersecurity	cybersecurity	NOUN
cana-1706	21	26	infrastructure	infrastructure	NOUN
cana-1706	21	27	to	to	PART
cana-1706	21	28	safeguard	safeguard	VERB
cana-1706	21	29	the	the	DET
cana-1706	21	30	expanding	expand	VERB
cana-1706	21	31	iot	iot	ADJ
cana-1706	21	32	world	world	NOUN
cana-1706	21	33	.	.	PUNCT
cana-1706	22	1	keywords	keyword	NOUN
cana-1706	22	2	:	:	PUNCT
cana-1706	22	3	adoption	adoption	NOUN
cana-1706	22	4	,	,	PUNCT
cana-1706	22	5	networks	network	NOUN
cana-1706	22	6	,	,	PUNCT
cana-1706	22	7	intrusion	intrusion	NOUN
cana-1706	22	8	,	,	PUNCT
cana-1706	22	9	detection	detection	NOUN
cana-1706	22	10	,	,	PUNCT
cana-1706	22	11	anomaly	anomaly	NOUN
cana-1706	22	12	,	,	PUNCT
cana-1706	22	13	techniques	technique	NOUN
cana-1706	22	14	,	,	PUNCT
cana-1706	22	15	optimization	optimization	NOUN
cana-1706	22	16	,	,	PUNCT
cana-1706	22	17	allocation	allocation	NOUN
cana-1706	22	18	,	,	PUNCT
cana-1706	22	19	algorithm	algorithm	NOUN
cana-1706	22	20	,	,	PUNCT
cana-1706	22	21	model	model	NOUN
cana-1706	22	22	,	,	PUNCT
cana-1706	22	23	scalability	scalability	NOUN
cana-1706	22	24	.	.	PUNCT
cana-1706	23	1	mailto:merlinflorrence@gmail.com	mailto:merlinflorrence@gmail.com	X
cana-1706	24	1	mailto:antkkl@gmail.com	mailto:antkkl@gmail.com	X
cana-1706	25	1	mailto:buvanishaa145@gmail.com	mailto:buvanishaa145@gmail.com	X
cana-1706	26	1	mailto:anillaxman369@gmail.com	mailto:anillaxman369@gmail.com	PROPN
cana-1706	26	2	mailto:avneeshvashishtha@gmail.com	mailto:avneeshvashishtha@gmail.com	PROPN
cana-1706	26	3	mailto:connectmadhukar@gmail.com	mailto:connectmadhukar@gmail.com	PROPN
cana-1706	26	4	mailto:rambabureddy.rampatruni@gmail.com	mailto:rambabureddy.rampatruni@gmail.com	PROPN
cana-1706	26	5	communications	communication	NOUN
cana-1706	26	6	on	on	ADP
cana-1706	26	7	applied	apply	VERB
cana-1706	26	8	nonlinear	nonlinear	ADJ
cana-1706	26	9	analysis	analysis	NOUN
cana-1706	26	10	issn	issn	NOUN
cana-1706	26	11	:	:	PUNCT
cana-1706	26	12	1074	1074	NUM
cana-1706	26	13	-	-	PUNCT
cana-1706	26	14	133x	133x	NUM
cana-1706	26	15	vol	vol	NOUN
cana-1706	26	16	32	32	NUM
cana-1706	26	17	no	no	NOUN
cana-1706	26	18	.	.	NOUN
cana-1706	26	19	2	2	NUM
cana-1706	26	20	(	(	PUNCT
cana-1706	26	21	2025	2025	NUM
cana-1706	26	22	)	)	PUNCT
cana-1706	26	23	29	29	NUM
cana-1706	26	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	26	25	1	1	X
cana-1706	26	26	.	.	X
cana-1706	27	1	introduction	introduction	NOUN
cana-1706	27	2	iot	iot	PROPN
cana-1706	27	3	has	have	AUX
cana-1706	27	4	rapidly	rapidly	ADV
cana-1706	27	5	evolved	evolve	VERB
cana-1706	27	6	into	into	ADP
cana-1706	27	7	lone	lone	ADJ
cana-1706	27	8	force	force	NOUN
cana-1706	27	9	reckoning	reckon	VERB
cana-1706	27	10	across	across	ADP
cana-1706	27	11	a	a	DET
cana-1706	27	12	slew	slew	NOUN
cana-1706	27	13	of	of	ADP
cana-1706	27	14	industries	industry	NOUN
cana-1706	27	15	with	with	ADP
cana-1706	27	16	both	both	CCONJ
cana-1706	27	17	the	the	DET
cana-1706	27	18	reward	reward	NOUN
cana-1706	27	19	and	and	CCONJ
cana-1706	27	20	the	the	DET
cana-1706	27	21	promise	promise	NOUN
cana-1706	27	22	as	as	ADP
cana-1706	27	23	one	one	NUM
cana-1706	27	24	part	part	NOUN
cana-1706	27	25	.	.	PUNCT
cana-1706	28	1	with	with	ADP
cana-1706	28	2	iot	iot	NOUN
cana-1706	28	3	,	,	PUNCT
cana-1706	28	4	you	you	PRON
cana-1706	28	5	have	have	VERB
cana-1706	28	6	a	a	DET
cana-1706	28	7	lot	lot	NOUN
cana-1706	28	8	of	of	ADP
cana-1706	28	9	devices	device	NOUN
cana-1706	28	10	from	from	ADP
cana-1706	28	11	simple	simple	ADJ
cana-1706	28	12	sensors	sensor	NOUN
cana-1706	28	13	and	and	CCONJ
cana-1706	28	14	smart	smart	ADJ
cana-1706	28	15	home	home	NOUN
cana-1706	28	16	items	item	NOUN
cana-1706	28	17	to	to	ADP
cana-1706	28	18	large	large	ADJ
cana-1706	28	19	industrial	industrial	ADJ
cana-1706	28	20	systems	system	NOUN
cana-1706	28	21	and	and	CCONJ
cana-1706	28	22	life	life	NOUN
cana-1706	28	23	critical	critical	ADJ
cana-1706	28	24	healthcare	healthcare	NOUN
cana-1706	28	25	devices	device	NOUN
cana-1706	28	26	.	.	PUNCT
cana-1706	29	1	the	the	DET
cana-1706	29	2	application	application	NOUN
cana-1706	29	3	of	of	ADP
cana-1706	29	4	iot	iot	PROPN
cana-1706	29	5	technology	technology	NOUN
cana-1706	29	6	has	have	AUX
cana-1706	29	7	been	be	AUX
cana-1706	29	8	vast	vast	ADJ
cana-1706	29	9	in	in	ADP
cana-1706	29	10	bringing	bring	VERB
cana-1706	29	11	a	a	DET
cana-1706	29	12	number	number	NOUN
cana-1706	29	13	of	of	ADP
cana-1706	29	14	advantages	advantage	NOUN
cana-1706	29	15	like	like	ADP
cana-1706	29	16	automation	automation	NOUN
cana-1706	29	17	,	,	PUNCT
cana-1706	29	18	real	real	ADJ
cana-1706	29	19	-	-	PUNCT
cana-1706	29	20	time	time	NOUN
cana-1706	29	21	analysis	analysis	NOUN
cana-1706	29	22	of	of	ADP
cana-1706	29	23	data	datum	NOUN
cana-1706	29	24	and	and	CCONJ
cana-1706	29	25	efficiency	efficiency	NOUN
cana-1706	29	26	across	across	ADP
cana-1706	29	27	various	various	ADJ
cana-1706	29	28	industries	industry	NOUN
cana-1706	29	29	.	.	PUNCT
cana-1706	30	1	on	on	ADP
cana-1706	30	2	the	the	DET
cana-1706	30	3	one	one	NUM
cana-1706	30	4	hand	hand	NOUN
cana-1706	30	5	,	,	PUNCT
cana-1706	30	6	millions	million	NOUN
cana-1706	30	7	of	of	ADP
cana-1706	30	8	iot	iot	PROPN
cana-1706	30	9	devices	device	NOUN
cana-1706	30	10	are	be	AUX
cana-1706	30	11	now	now	ADV
cana-1706	30	12	available	available	ADJ
cana-1706	30	13	to	to	ADP
cana-1706	30	14	us	we	PRON
cana-1706	30	15	but	but	CCONJ
cana-1706	30	16	on	on	ADP
cana-1706	30	17	the	the	DET
cana-1706	30	18	other	other	ADJ
cana-1706	30	19	,	,	PUNCT
cana-1706	30	20	they	they	PRON
cana-1706	30	21	also	also	ADV
cana-1706	30	22	bring	bring	VERB
cana-1706	30	23	huge	huge	ADJ
cana-1706	30	24	cyber	cyber	NOUN
cana-1706	30	25	security	security	NOUN
cana-1706	30	26	challenges	challenge	NOUN
cana-1706	30	27	due	due	ADP
cana-1706	30	28	to	to	ADP
cana-1706	30	29	all	all	DET
cana-1706	30	30	these	these	DET
cana-1706	30	31	different	different	ADJ
cana-1706	30	32	types	type	NOUN
cana-1706	30	33	and	and	CCONJ
cana-1706	30	34	uses	use	NOUN
cana-1706	30	35	.	.	PUNCT
cana-1706	31	1	since	since	SCONJ
cana-1706	31	2	these	these	DET
cana-1706	31	3	devices	device	NOUN
cana-1706	31	4	are	be	AUX
cana-1706	31	5	usually	usually	ADV
cana-1706	31	6	resource	resource	NOUN
cana-1706	31	7	constrained	constrain	VERB
cana-1706	31	8	and	and	CCONJ
cana-1706	31	9	have	have	AUX
cana-1706	31	10	been	be	AUX
cana-1706	31	11	designed	design	VERB
cana-1706	31	12	with	with	ADP
cana-1706	31	13	weak	weak	ADJ
cana-1706	31	14	security	security	NOUN
cana-1706	31	15	protocols	protocol	NOUN
cana-1706	31	16	,	,	PUNCT
cana-1706	31	17	they	they	PRON
cana-1706	31	18	are	be	AUX
cana-1706	31	19	proving	prove	VERB
cana-1706	31	20	to	to	PART
cana-1706	31	21	be	be	AUX
cana-1706	31	22	a	a	DET
cana-1706	31	23	tempting	tempting	ADJ
cana-1706	31	24	target	target	NOUN
cana-1706	31	25	for	for	ADP
cana-1706	31	26	cybercriminals	cybercriminal	NOUN
cana-1706	31	27	.	.	PUNCT
cana-1706	32	1	this	this	PRON
cana-1706	32	2	means	mean	VERB
cana-1706	32	3	that	that	SCONJ
cana-1706	32	4	iot	iot	PROPN
cana-1706	32	5	networks	network	NOUN
cana-1706	32	6	are	be	AUX
cana-1706	32	7	increasingly	increasingly	ADV
cana-1706	32	8	targeted	target	VERB
cana-1706	32	9	by	by	ADP
cana-1706	32	10	advanced	advanced	ADJ
cana-1706	32	11	cyber	cyber	NOUN
cana-1706	32	12	attacks	attack	NOUN
cana-1706	32	13	which	which	PRON
cana-1706	32	14	compromise	compromise	VERB
cana-1706	32	15	the	the	DET
cana-1706	32	16	confidentiality	confidentiality	NOUN
cana-1706	32	17	,	,	PUNCT
cana-1706	32	18	integrity	integrity	NOUN
cana-1706	32	19	and	and	CCONJ
cana-1706	32	20	availability	availability	NOUN
cana-1706	32	21	of	of	ADP
cana-1706	32	22	critical	critical	ADJ
cana-1706	32	23	systems	system	NOUN
cana-1706	32	24	and	and	CCONJ
cana-1706	32	25	data	datum	NOUN
cana-1706	32	26	.	.	PUNCT
cana-1706	33	1	finally	finally	ADV
cana-1706	33	2	,	,	PUNCT
cana-1706	33	3	since	since	SCONJ
cana-1706	33	4	iot	iot	ADJ
cana-1706	33	5	environments	environment	NOUN
cana-1706	33	6	are	be	AUX
cana-1706	33	7	dynamic	dynamic	ADJ
cana-1706	33	8	in	in	ADP
cana-1706	33	9	nature	nature	NOUN
cana-1706	33	10	and	and	CCONJ
cana-1706	33	11	are	be	AUX
cana-1706	33	12	increasingly	increasingly	ADV
cana-1706	33	13	built	build	VERB
cana-1706	33	14	on	on	ADP
cana-1706	33	15	cloud	cloud	NOUN
cana-1706	33	16	infrastructure	infrastructure	NOUN
cana-1706	33	17	and	and	CCONJ
cana-1706	33	18	edge	edge	NOUN
cana-1706	33	19	computing	computing	NOUN
cana-1706	33	20	,	,	PUNCT
cana-1706	33	21	the	the	DET
cana-1706	33	22	risks	risk	NOUN
cana-1706	33	23	that	that	PRON
cana-1706	33	24	we	we	PRON
cana-1706	33	25	outlined	outline	VERB
cana-1706	33	26	before	before	ADP
cana-1706	33	27	only	only	ADV
cana-1706	33	28	grows	grow	VERB
cana-1706	33	29	even	even	ADV
cana-1706	33	30	bigger[1	bigger[1	NOUN
cana-1706	33	31	]	]	PUNCT
cana-1706	33	32	.	.	PUNCT
cana-1706	34	1	firewalls	firewall	NOUN
cana-1706	34	2	,	,	PUNCT
cana-1706	34	3	signature	signature	NOUN
cana-1706	34	4	-	-	PUNCT
cana-1706	34	5	based	base	VERB
cana-1706	34	6	intrusion	intrusion	NOUN
cana-1706	34	7	detection	detection	NOUN
cana-1706	34	8	systems	system	NOUN
cana-1706	34	9	(	(	PUNCT
cana-1706	34	10	ids	id	NOUN
cana-1706	34	11	)	)	PUNCT
cana-1706	34	12	,	,	PUNCT
cana-1706	34	13	and	and	CCONJ
cana-1706	34	14	encryption	encryption	NOUN
cana-1706	34	15	mechanisms	mechanism	NOUN
cana-1706	34	16	have	have	AUX
cana-1706	34	17	long	long	ADV
cana-1706	34	18	been	be	AUX
cana-1706	34	19	the	the	DET
cana-1706	34	20	cornerstones	cornerstone	NOUN
cana-1706	34	21	toward	toward	ADP
cana-1706	34	22	network	network	NOUN
cana-1706	34	23	security	security	NOUN
cana-1706	34	24	,	,	PUNCT
cana-1706	34	25	but	but	CCONJ
cana-1706	34	26	they	they	PRON
cana-1706	34	27	are	be	AUX
cana-1706	34	28	not	not	PART
cana-1706	34	29	good	good	ADJ
cana-1706	34	30	enough	enough	ADV
cana-1706	34	31	to	to	PART
cana-1706	34	32	help	help	VERB
cana-1706	34	33	deal	deal	VERB
cana-1706	34	34	with	with	ADP
cana-1706	34	35	this	this	DET
cana-1706	34	36	brand	brand	NOUN
cana-1706	34	37	new	new	ADJ
cana-1706	34	38	and	and	CCONJ
cana-1706	34	39	even	even	ADV
cana-1706	34	40	more	more	ADV
cana-1706	34	41	challenging	challenging	ADJ
cana-1706	34	42	type	type	NOUN
cana-1706	34	43	of	of	ADP
cana-1706	34	44	networks	network	NOUN
cana-1706	34	45	.	.	PUNCT
cana-1706	35	1	the	the	DET
cana-1706	35	2	typical	typical	ADJ
cana-1706	35	3	methods	method	NOUN
cana-1706	35	4	used	use	VERB
cana-1706	35	5	here	here	ADV
cana-1706	35	6	are	be	AUX
cana-1706	35	7	often	often	ADV
cana-1706	35	8	built	build	VERB
cana-1706	35	9	for	for	ADP
cana-1706	35	10	more	more	ADV
cana-1706	35	11	static	static	ADJ
cana-1706	35	12	and	and	CCONJ
cana-1706	35	13	centralized	centralized	ADJ
cana-1706	35	14	networks	network	NOUN
cana-1706	35	15	,	,	PUNCT
cana-1706	35	16	compared	compare	VERB
cana-1706	35	17	to	to	ADP
cana-1706	35	18	the	the	DET
cana-1706	35	19	highly	highly	ADV
cana-1706	35	20	decentralized	decentralize	VERB
cana-1706	35	21	,	,	PUNCT
cana-1706	35	22	heterogeneous	heterogeneous	ADJ
cana-1706	35	23	,	,	PUNCT
cana-1706	35	24	and	and	CCONJ
cana-1706	35	25	constantly	constantly	ADV
cana-1706	35	26	evolving	evolve	VERB
cana-1706	35	27	iot	iot	ADJ
cana-1706	35	28	ecosystems	ecosystem	NOUN
cana-1706	35	29	.	.	PUNCT
cana-1706	36	1	as	as	ADP
cana-1706	36	2	a	a	DET
cana-1706	36	3	result	result	NOUN
cana-1706	36	4	,	,	PUNCT
cana-1706	36	5	attackers	attacker	NOUN
cana-1706	36	6	are	be	AUX
cana-1706	36	7	always	always	ADV
cana-1706	36	8	finding	find	VERB
cana-1706	36	9	new	new	ADJ
cana-1706	36	10	ways	way	NOUN
cana-1706	36	11	to	to	PART
cana-1706	36	12	exploit	exploit	VERB
cana-1706	36	13	vulnerabilities	vulnerability	NOUN
cana-1706	36	14	which	which	PRON
cana-1706	36	15	means	mean	VERB
cana-1706	36	16	that	that	SCONJ
cana-1706	36	17	static	static	ADJ
cana-1706	36	18	security	security	NOUN
cana-1706	36	19	solutions	solution	NOUN
cana-1706	36	20	have	have	AUX
cana-1706	36	21	found	find	VERB
cana-1706	36	22	it	it	PRON
cana-1706	36	23	hard	hard	ADJ
cana-1706	36	24	to	to	PART
cana-1706	36	25	keep	keep	VERB
cana-1706	36	26	up	up	ADP
cana-1706	36	27	.	.	PUNCT
cana-1706	37	1	what	what	PRON
cana-1706	37	2	's	be	AUX
cana-1706	37	3	more	more	ADJ
cana-1706	37	4	,	,	PUNCT
cana-1706	37	5	many	many	ADJ
cana-1706	37	6	iot	iot	NOUN
cana-1706	37	7	devices	device	NOUN
cana-1706	37	8	are	be	AUX
cana-1706	37	9	limited	limit	VERB
cana-1706	37	10	in	in	ADP
cana-1706	37	11	their	their	PRON
cana-1706	37	12	computing	compute	VERB
cana-1706	37	13	resources	resource	NOUN
cana-1706	37	14	and	and	CCONJ
cana-1706	37	15	ca	can	AUX
cana-1706	37	16	n't	not	PART
cana-1706	37	17	handle	handle	VERB
cana-1706	37	18	advanced	advanced	ADJ
cana-1706	37	19	security	security	NOUN
cana-1706	37	20	techniques	technique	NOUN
cana-1706	37	21	,	,	PUNCT
cana-1706	37	22	which	which	PRON
cana-1706	37	23	makes	make	VERB
cana-1706	37	24	them	they	PRON
cana-1706	37	25	more	more	ADV
cana-1706	37	26	vulnerable	vulnerable	ADJ
cana-1706	37	27	to	to	ADP
cana-1706	37	28	unauthorized	unauthorized	ADJ
cana-1706	37	29	access	access	NOUN
cana-1706	37	30	,	,	PUNCT
cana-1706	37	31	data	datum	NOUN
cana-1706	37	32	leaks	leak	NOUN
cana-1706	37	33	,	,	PUNCT
cana-1706	37	34	and	and	CCONJ
cana-1706	37	35	denial	denial	NOUN
cana-1706	37	36	-	-	PUNCT
cana-1706	37	37	ofservice	ofservice	NOUN
cana-1706	37	38	(	(	PUNCT
cana-1706	37	39	dos	do	NOUN
cana-1706	37	40	)	)	PUNCT
cana-1706	37	41	attacks[2	attacks[2	PROPN
cana-1706	37	42	]	]	PUNCT
cana-1706	37	43	.	.	PUNCT
cana-1706	38	1	this	this	PRON
cana-1706	38	2	requires	require	VERB
cana-1706	38	3	a	a	DET
cana-1706	38	4	complete	complete	ADJ
cana-1706	38	5	rethinking	rethinking	NOUN
cana-1706	38	6	of	of	ADP
cana-1706	38	7	how	how	SCONJ
cana-1706	38	8	we	we	PRON
cana-1706	38	9	secure	secure	VERB
cana-1706	38	10	iot	iot	ADJ
cana-1706	38	11	networks	network	NOUN
cana-1706	38	12	.	.	PUNCT
cana-1706	39	1	instead	instead	ADV
cana-1706	39	2	of	of	ADP
cana-1706	39	3	only	only	ADV
cana-1706	39	4	following	follow	VERB
cana-1706	39	5	security	security	NOUN
cana-1706	39	6	rules	rule	NOUN
cana-1706	39	7	that	that	PRON
cana-1706	39	8	are	be	AUX
cana-1706	39	9	pre	pre	ADJ
cana-1706	39	10	-	-	VERB
cana-1706	39	11	determined	determined	ADJ
cana-1706	39	12	,	,	PUNCT
cana-1706	39	13	systems	system	NOUN
cana-1706	39	14	must	must	AUX
cana-1706	39	15	be	be	AUX
cana-1706	39	16	able	able	ADJ
cana-1706	39	17	to	to	PART
cana-1706	39	18	learn	learn	VERB
cana-1706	39	19	and	and	CCONJ
cana-1706	39	20	adjust	adjust	VERB
cana-1706	39	21	so	so	SCONJ
cana-1706	39	22	they	they	PRON
cana-1706	39	23	can	can	AUX
cana-1706	39	24	identify	identify	VERB
cana-1706	39	25	new	new	ADJ
cana-1706	39	26	attacks	attack	NOUN
cana-1706	39	27	as	as	ADP
cana-1706	39	28	and	and	CCONJ
cana-1706	39	29	when	when	SCONJ
cana-1706	39	30	they	they	PRON
cana-1706	39	31	crop	crop	VERB
cana-1706	39	32	up	up	ADP
cana-1706	39	33	.	.	PUNCT
cana-1706	40	1	one	one	NUM
cana-1706	40	2	approach	approach	NOUN
cana-1706	40	3	that	that	PRON
cana-1706	40	4	appears	appear	VERB
cana-1706	40	5	to	to	PART
cana-1706	40	6	offer	offer	VERB
cana-1706	40	7	quite	quite	DET
cana-1706	40	8	a	a	DET
cana-1706	40	9	potential	potential	NOUN
cana-1706	40	10	in	in	ADP
cana-1706	40	11	solving	solve	VERB
cana-1706	40	12	some	some	PRON
cana-1706	40	13	of	of	ADP
cana-1706	40	14	the	the	DET
cana-1706	40	15	intricate	intricate	ADJ
cana-1706	40	16	security	security	NOUN
cana-1706	40	17	challenges	challenge	NOUN
cana-1706	40	18	faced	face	VERB
cana-1706	40	19	by	by	ADP
cana-1706	40	20	iot	iot	PROPN
cana-1706	40	21	networks	network	NOUN
cana-1706	40	22	is	be	AUX
cana-1706	40	23	machine	machine	NOUN
cana-1706	40	24	learning	learning	NOUN
cana-1706	40	25	(	(	PUNCT
cana-1706	40	26	ml	ml	NOUN
cana-1706	40	27	)	)	PUNCT
cana-1706	40	28	in	in	ADP
cana-1706	40	29	recent	recent	ADJ
cana-1706	40	30	years	year	NOUN
cana-1706	40	31	.	.	PUNCT
cana-1706	41	1	anomaly	anomaly	NOUN
cana-1706	41	2	detection	detection	NOUN
cana-1706	41	3	in	in	ADP
cana-1706	41	4	dynamic	dynamic	ADJ
cana-1706	41	5	and	and	CCONJ
cana-1706	41	6	heterogeneous	heterogeneous	ADJ
cana-1706	41	7	environments	environment	NOUN
cana-1706	41	8	uses	use	VERB
cana-1706	41	9	ml	ml	NOUN
cana-1706	41	10	techniques	technique	NOUN
cana-1706	41	11	,	,	PUNCT
cana-1706	41	12	which	which	PRON
cana-1706	41	13	can	can	AUX
cana-1706	41	14	analyze	analyze	VERB
cana-1706	41	15	data	datum	NOUN
cana-1706	41	16	in	in	ADP
cana-1706	41	17	high	high	ADJ
cana-1706	41	18	volume	volume	NOUN
cana-1706	41	19	and	and	CCONJ
cana-1706	41	20	variety	variety	NOUN
cana-1706	41	21	,	,	PUNCT
cana-1706	41	22	learn	learn	VERB
cana-1706	41	23	patterns	pattern	NOUN
cana-1706	41	24	over	over	ADP
cana-1706	41	25	time	time	NOUN
cana-1706	41	26	adaptively	adaptively	ADV
cana-1706	41	27	to	to	PART
cana-1706	41	28	deal	deal	VERB
cana-1706	41	29	with	with	ADP
cana-1706	41	30	new	new	ADJ
cana-1706	41	31	threats	threat	NOUN
cana-1706	41	32	.	.	PUNCT
cana-1706	42	1	machine	machine	NOUN
cana-1706	42	2	learning	learning	NOUN
cana-1706	42	3	-	-	PUNCT
cana-1706	42	4	based	base	VERB
cana-1706	42	5	anomaly	anomaly	NOUN
cana-1706	42	6	detection	detection	NOUN
cana-1706	42	7	systems	system	NOUN
cana-1706	42	8	can	can	AUX
cana-1706	42	9	identify	identify	VERB
cana-1706	42	10	abnormal	abnormal	ADJ
cana-1706	42	11	behaviors	behavior	NOUN
cana-1706	42	12	or	or	CCONJ
cana-1706	42	13	deviations	deviation	NOUN
cana-1706	42	14	from	from	ADP
cana-1706	42	15	the	the	DET
cana-1706	42	16	normal	normal	ADJ
cana-1706	42	17	network	network	NOUN
cana-1706	42	18	traffic	traffic	NOUN
cana-1706	42	19	and	and	CCONJ
cana-1706	42	20	,	,	PUNCT
cana-1706	42	21	as	as	ADP
cana-1706	42	22	a	a	DET
cana-1706	42	23	result	result	NOUN
cana-1706	42	24	,	,	PUNCT
cana-1706	42	25	help	help	NOUN
cana-1706	42	26	in	in	ADP
cana-1706	42	27	the	the	DET
cana-1706	42	28	early	early	ADJ
cana-1706	42	29	discovery	discovery	NOUN
cana-1706	42	30	of	of	ADP
cana-1706	42	31	possible	possible	ADJ
cana-1706	42	32	security	security	NOUN
cana-1706	42	33	threats[3	threats[3	PROPN
cana-1706	42	34	]	]	PUNCT
cana-1706	42	35	.	.	PUNCT
cana-1706	43	1	for	for	ADP
cana-1706	43	2	instance	instance	NOUN
cana-1706	43	3	,	,	PUNCT
cana-1706	43	4	ml	ml	NOUN
cana-1706	43	5	-	-	PUNCT
cana-1706	43	6	based	base	VERB
cana-1706	43	7	detection	detection	NOUN
cana-1706	43	8	systems	system	NOUN
cana-1706	43	9	can	can	AUX
cana-1706	43	10	learn	learn	VERB
cana-1706	43	11	some	some	DET
cana-1706	43	12	subtle	subtle	ADJ
cana-1706	43	13	relations	relation	NOUN
cana-1706	43	14	hidden	hide	VERB
cana-1706	43	15	in	in	ADP
cana-1706	43	16	data	datum	NOUN
cana-1706	43	17	and	and	CCONJ
cana-1706	43	18	spot	spot	VERB
cana-1706	43	19	out	out	ADP
cana-1706	43	20	attacks	attack	NOUN
cana-1706	43	21	which	which	PRON
cana-1706	43	22	a	a	DET
cana-1706	43	23	traditional	traditional	ADJ
cana-1706	43	24	signature	signature	NOUN
cana-1706	43	25	rule	rule	NOUN
cana-1706	43	26	system	system	NOUN
cana-1706	43	27	finding	find	VERB
cana-1706	43	28	difficult	difficult	ADJ
cana-1706	43	29	to	to	PART
cana-1706	43	30	pick	pick	VERB
cana-1706	43	31	them	they	PRON
cana-1706	43	32	up	up	ADP
cana-1706	43	33	as	as	SCONJ
cana-1706	43	34	they	they	PRON
cana-1706	43	35	not	not	PART
cana-1706	43	36	match	match	VERB
cana-1706	43	37	any	any	DET
cana-1706	43	38	existing	exist	VERB
cana-1706	43	39	signature	signature	NOUN
cana-1706	43	40	configurations	configuration	NOUN
cana-1706	43	41	.	.	PUNCT
cana-1706	44	1	but	but	CCONJ
cana-1706	44	2	adoption	adoption	NOUN
cana-1706	44	3	of	of	ADP
cana-1706	44	4	machine	machine	NOUN
cana-1706	44	5	learning	learn	VERB
cana-1706	44	6	to	to	ADP
cana-1706	44	7	iot	iot	PROPN
cana-1706	44	8	security	security	NOUN
cana-1706	44	9	is	be	AUX
cana-1706	44	10	fraught	fraught	ADJ
cana-1706	44	11	with	with	ADP
cana-1706	44	12	difficulties	difficulty	NOUN
cana-1706	44	13	as	as	ADV
cana-1706	44	14	well	well	ADV
cana-1706	44	15	.	.	PUNCT
cana-1706	45	1	iot	iot	PROPN
cana-1706	45	2	networks	networks	PROPN
cana-1706	45	3	house	house	PROPN
cana-1706	45	4	so	so	ADV
cana-1706	45	5	many	many	ADJ
cana-1706	45	6	devices	device	NOUN
cana-1706	45	7	that	that	SCONJ
cana-1706	45	8	it	it	PRON
cana-1706	45	9	generates	generate	VERB
cana-1706	45	10	huge	huge	ADJ
cana-1706	45	11	amount	amount	NOUN
cana-1706	45	12	of	of	ADP
cana-1706	45	13	data	datum	NOUN
cana-1706	45	14	from	from	ADP
cana-1706	45	15	different	different	ADJ
cana-1706	45	16	services	service	NOUN
cana-1706	45	17	and	and	CCONJ
cana-1706	45	18	with	with	ADP
cana-1706	45	19	unique	unique	ADJ
cana-1706	45	20	behavioral	behavioral	ADJ
cana-1706	45	21	traits	trait	NOUN
cana-1706	45	22	,	,	PUNCT
cana-1706	45	23	as	as	ADP
cana-1706	45	24	a	a	DET
cana-1706	45	25	result	result	NOUN
cana-1706	45	26	it	it	PRON
cana-1706	45	27	is	be	AUX
cana-1706	45	28	difficult	difficult	ADJ
cana-1706	45	29	for	for	SCONJ
cana-1706	45	30	machine	machine	NOUN
cana-1706	45	31	learning	learn	VERB
cana-1706	45	32	to	to	PART
cana-1706	45	33	learn	learn	VERB
cana-1706	45	34	one	one	NUM
cana-1706	45	35	set	set	NOUN
cana-1706	45	36	rule	rule	NOUN
cana-1706	45	37	across	across	ADP
cana-1706	45	38	the	the	DET
cana-1706	45	39	network	network	NOUN
cana-1706	45	40	.	.	PUNCT
cana-1706	46	1	moreover	moreover	ADV
cana-1706	46	2	,	,	PUNCT
cana-1706	46	3	as	as	SCONJ
cana-1706	46	4	the	the	DET
cana-1706	46	5	computing	computing	NOUN
cana-1706	46	6	capabilities	capability	NOUN
cana-1706	46	7	of	of	ADP
cana-1706	46	8	iot	iot	PROPN
cana-1706	46	9	devices	device	NOUN
cana-1706	46	10	are	be	AUX
cana-1706	46	11	mostly	mostly	ADV
cana-1706	46	12	resource	resource	NOUN
cana-1706	46	13	-	-	PUNCT
cana-1706	46	14	constrained	constrain	VERB
cana-1706	46	15	and	and	CCONJ
cana-1706	46	16	thus	thus	ADV
cana-1706	46	17	it	it	PRON
cana-1706	46	18	is	be	AUX
cana-1706	46	19	not	not	PART
cana-1706	46	20	feasible	feasible	ADJ
cana-1706	46	21	to	to	PART
cana-1706	46	22	compute	compute	VERB
cana-1706	46	23	heavy	heavy	ADJ
cana-1706	46	24	-	-	PUNCT
cana-1706	46	25	duty	duty	NOUN
cana-1706	46	26	machine	machine	NOUN
cana-1706	46	27	learning	learn	VERB
cana-1706	46	28	algorithms	algorithm	NOUN
cana-1706	46	29	on	on	ADP
cana-1706	46	30	-	-	PUNCT
cana-1706	46	31	edge	edge	NOUN
cana-1706	46	32	devices	device	NOUN
cana-1706	46	33	efficiently	efficiently	ADV
cana-1706	46	34	.	.	PUNCT
cana-1706	47	1	communications	communication	NOUN
cana-1706	47	2	on	on	ADP
cana-1706	47	3	applied	apply	VERB
cana-1706	47	4	nonlinear	nonlinear	ADJ
cana-1706	47	5	analysis	analysis	NOUN
cana-1706	47	6	issn	issn	NOUN
cana-1706	47	7	:	:	PUNCT
cana-1706	47	8	1074	1074	NUM
cana-1706	47	9	-	-	PUNCT
cana-1706	47	10	133x	133x	NUM
cana-1706	47	11	vol	vol	NOUN
cana-1706	47	12	32	32	NUM
cana-1706	47	13	no	no	NOUN
cana-1706	47	14	.	.	NOUN
cana-1706	47	15	2	2	NUM
cana-1706	47	16	(	(	PUNCT
cana-1706	47	17	2025	2025	NUM
cana-1706	47	18	)	)	PUNCT
cana-1706	47	19	30	30	NUM
cana-1706	47	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	47	21	figure	figure	NOUN
cana-1706	47	22	1	1	NUM
cana-1706	47	23	.	.	PUNCT
cana-1706	48	1	architecture	architecture	NOUN
cana-1706	48	2	diagram	diagram	NOUN
cana-1706	48	3	of	of	ADP
cana-1706	48	4	auto	auto	NOUN
cana-1706	48	5	-	-	PUNCT
cana-1706	48	6	encoder[28	encoder[28	NOUN
cana-1706	48	7	]	]	PUNCT
cana-1706	48	8	in	in	ADP
cana-1706	48	9	order	order	NOUN
cana-1706	48	10	to	to	PART
cana-1706	48	11	tackle	tackle	VERB
cana-1706	48	12	these	these	DET
cana-1706	48	13	challenges	challenge	NOUN
cana-1706	48	14	,	,	PUNCT
cana-1706	48	15	this	this	DET
cana-1706	48	16	paper	paper	NOUN
cana-1706	48	17	introduces	introduce	VERB
cana-1706	48	18	a	a	DET
cana-1706	48	19	machine	machine	NOUN
cana-1706	48	20	learning	learning	NOUN
cana-1706	48	21	-	-	PUNCT
cana-1706	48	22	driven	drive	VERB
cana-1706	48	23	anomaly	anomaly	NOUN
cana-1706	48	24	detection	detection	NOUN
cana-1706	48	25	model	model	NOUN
cana-1706	48	26	along	along	ADP
cana-1706	48	27	with	with	ADP
cana-1706	48	28	optimization	optimization	NOUN
cana-1706	48	29	techniques	technique	NOUN
cana-1706	48	30	to	to	PART
cana-1706	48	31	improve	improve	VERB
cana-1706	48	32	the	the	DET
cana-1706	48	33	iot	iot	NOUN
cana-1706	48	34	network	network	NOUN
cana-1706	48	35	security	security	NOUN
cana-1706	48	36	.	.	PUNCT
cana-1706	49	1	more	more	ADV
cana-1706	49	2	specifically	specifically	ADV
cana-1706	49	3	,	,	PUNCT
cana-1706	49	4	the	the	DET
cana-1706	49	5	goal	goal	NOUN
cana-1706	49	6	of	of	ADP
cana-1706	49	7	their	their	PRON
cana-1706	49	8	model	model	NOUN
cana-1706	49	9	is	be	AUX
cana-1706	49	10	to	to	PART
cana-1706	49	11	increase	increase	VERB
cana-1706	49	12	precision	precision	NOUN
cana-1706	49	13	in	in	ADP
cana-1706	49	14	identifying	identify	VERB
cana-1706	49	15	anomalous	anomalous	ADJ
cana-1706	49	16	behavior	behavior	NOUN
cana-1706	49	17	and	and	CCONJ
cana-1706	49	18	lower	low	ADJ
cana-1706	49	19	false	false	ADJ
cana-1706	49	20	positives	positive	NOUN
cana-1706	49	21	;	;	PUNCT
cana-1706	49	22	one	one	NUM
cana-1706	49	23	issue	issue	NOUN
cana-1706	49	24	anomaly	anomaly	NOUN
cana-1706	49	25	detection	detection	NOUN
cana-1706	49	26	systems	system	NOUN
cana-1706	49	27	often	often	ADV
cana-1706	49	28	face	face	VERB
cana-1706	49	29	.	.	PUNCT
cana-1706	50	1	the	the	DET
cana-1706	50	2	proposed	propose	VERB
cana-1706	50	3	model	model	NOUN
cana-1706	50	4	optimizes	optimize	VERB
cana-1706	50	5	the	the	DET
cana-1706	50	6	parameters	parameter	NOUN
cana-1706	50	7	of	of	ADP
cana-1706	50	8	the	the	DET
cana-1706	50	9	machine	machine	NOUN
cana-1706	50	10	learning	learn	VERB
cana-1706	50	11	algorithms	algorithm	NOUN
cana-1706	50	12	for	for	ADP
cana-1706	50	13	the	the	DET
cana-1706	50	14	best	good	ADJ
cana-1706	50	15	performance	performance	NOUN
cana-1706	50	16	,	,	PUNCT
cana-1706	50	17	using	use	VERB
cana-1706	50	18	optimization	optimization	NOUN
cana-1706	50	19	algorithms	algorithm	NOUN
cana-1706	50	20	like	like	ADP
cana-1706	50	21	genetic	genetic	ADJ
cana-1706	50	22	algorithms	algorithm	NOUN
cana-1706	50	23	(	(	PUNCT
cana-1706	50	24	ga	ga	NOUN
cana-1706	50	25	)	)	PUNCT
cana-1706	50	26	or	or	CCONJ
cana-1706	50	27	particle	particle	NOUN
cana-1706	50	28	swarm	swarm	NOUN
cana-1706	50	29	optimization	optimization	NOUN
cana-1706	50	30	(	(	PUNCT
cana-1706	50	31	pso	pso	NOUN
cana-1706	50	32	)	)	PUNCT
cana-1706	50	33	.	.	PUNCT
cana-1706	51	1	this	this	PRON
cana-1706	51	2	is	be	AUX
cana-1706	51	3	crucial	crucial	ADJ
cana-1706	51	4	in	in	ADP
cana-1706	51	5	environments	environment	NOUN
cana-1706	51	6	such	such	ADJ
cana-1706	51	7	as	as	ADP
cana-1706	51	8	iot	iot	NOUN
cana-1706	51	9	which	which	PRON
cana-1706	51	10	has	have	VERB
cana-1706	51	11	limited	limit	VERB
cana-1706	51	12	computation	computation	NOUN
cana-1706	51	13	resources	resource	NOUN
cana-1706	51	14	,	,	PUNCT
cana-1706	51	15	and	and	CCONJ
cana-1706	51	16	security	security	NOUN
cana-1706	51	17	solutions	solution	NOUN
cana-1706	51	18	must	must	AUX
cana-1706	51	19	work	work	VERB
cana-1706	51	20	with	with	ADP
cana-1706	51	21	the	the	DET
cana-1706	51	22	least	least	ADJ
cana-1706	51	23	amount	amount	NOUN
cana-1706	51	24	of	of	ADP
cana-1706	51	25	overhead	overhead	NOUN
cana-1706	51	26	.	.	PUNCT
cana-1706	52	1	these	these	DET
cana-1706	52	2	algorithms	algorithm	NOUN
cana-1706	52	3	are	be	AUX
cana-1706	52	4	designed	design	VERB
cana-1706	52	5	to	to	PART
cana-1706	52	6	define	define	VERB
cana-1706	52	7	the	the	DET
cana-1706	52	8	threshold	threshold	NOUN
cana-1706	52	9	of	of	ADP
cana-1706	52	10	detection	detection	NOUN
cana-1706	52	11	in	in	ADP
cana-1706	52	12	a	a	DET
cana-1706	52	13	way	way	NOUN
cana-1706	52	14	that	that	PRON
cana-1706	52	15	implies	imply	VERB
cana-1706	52	16	compromising	compromise	VERB
cana-1706	52	17	between	between	ADP
cana-1706	52	18	security	security	NOUN
cana-1706	52	19	and	and	CCONJ
cana-1706	52	20	performance	performance	NOUN
cana-1706	52	21	:	:	PUNCT
cana-1706	52	22	the	the	DET
cana-1706	52	23	overload	overload	NOUN
cana-1706	52	24	with	with	ADP
cana-1706	52	25	false	false	ADJ
cana-1706	52	26	alarms	alarm	NOUN
cana-1706	52	27	is	be	AUX
cana-1706	52	28	unlikely	unlikely	ADJ
cana-1706	52	29	but	but	CCONJ
cana-1706	52	30	so	so	ADV
cana-1706	52	31	high	high	ADJ
cana-1706	52	32	will	will	AUX
cana-1706	52	33	be	be	AUX
cana-1706	52	34	kept	keep	VERB
cana-1706	52	35	an	an	DET
cana-1706	52	36	active	active	ADJ
cana-1706	52	37	percentage	percentage	NOUN
cana-1706	52	38	of	of	ADP
cana-1706	52	39	true	true	ADJ
cana-1706	52	40	threats[4	threats[4	NOUN
cana-1706	52	41	]	]	X
cana-1706	52	42	.	.	PUNCT
cana-1706	53	1	detecting	detect	VERB
cana-1706	53	2	an	an	DET
cana-1706	53	3	anomaly	anomaly	NOUN
cana-1706	53	4	in	in	ADP
cana-1706	53	5	iot	iot	ADJ
cana-1706	53	6	network	network	NOUN
cana-1706	53	7	very	very	ADV
cana-1706	53	8	complex	complex	ADJ
cana-1706	53	9	and	and	CCONJ
cana-1706	53	10	difficult	difficult	ADJ
cana-1706	53	11	,	,	PUNCT
cana-1706	53	12	because	because	SCONJ
cana-1706	53	13	of	of	ADP
cana-1706	53	14	their	their	PRON
cana-1706	53	15	dynamic	dynamic	ADJ
cana-1706	53	16	distributed	distribute	VERB
cana-1706	53	17	nature	nature	NOUN
cana-1706	53	18	.	.	PUNCT
cana-1706	54	1	iot	iot	PROPN
cana-1706	54	2	networks	network	NOUN
cana-1706	54	3	can	can	AUX
cana-1706	54	4	include	include	VERB
cana-1706	54	5	thousands	thousand	NOUN
cana-1706	54	6	or	or	CCONJ
cana-1706	54	7	even	even	ADV
cana-1706	54	8	millions	million	NOUN
cana-1706	54	9	of	of	ADP
cana-1706	54	10	devices	device	NOUN
cana-1706	54	11	,	,	PUNCT
cana-1706	54	12	each	each	PRON
cana-1706	54	13	having	have	VERB
cana-1706	54	14	a	a	DET
cana-1706	54	15	different	different	ADJ
cana-1706	54	16	profile	profile	NOUN
cana-1706	54	17	in	in	ADP
cana-1706	54	18	terms	term	NOUN
cana-1706	54	19	of	of	ADP
cana-1706	54	20	how	how	SCONJ
cana-1706	54	21	they	they	PRON
cana-1706	54	22	are	be	AUX
cana-1706	54	23	operating	operate	VERB
cana-1706	54	24	,	,	PUNCT
cana-1706	54	25	what	what	PRON
cana-1706	54	26	kind	kind	NOUN
cana-1706	54	27	traffic	traffic	NOUN
cana-1706	54	28	patterns	pattern	NOUN
cana-1706	54	29	they	they	PRON
cana-1706	54	30	use	use	VERB
cana-1706	54	31	and	and	CCONJ
cana-1706	54	32	what	what	PRON
cana-1706	54	33	security	security	NOUN
cana-1706	54	34	requirements	requirement	VERB
cana-1706	54	35	one	one	PRON
cana-1706	54	36	would	would	AUX
cana-1706	54	37	need	need	VERB
cana-1706	54	38	.	.	PUNCT
cana-1706	55	1	the	the	DET
cana-1706	55	2	naissance	naissance	NOUN
cana-1706	55	3	of	of	ADP
cana-1706	55	4	benignness	benignness	NOUN
cana-1706	55	5	makes	make	VERB
cana-1706	55	6	it	it	PRON
cana-1706	55	7	difficult	difficult	ADJ
cana-1706	55	8	to	to	PART
cana-1706	55	9	pin	pin	VERB
cana-1706	55	10	down	down	ADP
cana-1706	55	11	a	a	DET
cana-1706	55	12	behavioral	behavioral	ADJ
cana-1706	55	13	norm	norm	NOUN
cana-1706	55	14	for	for	ADP
cana-1706	55	15	the	the	DET
cana-1706	55	16	same	same	ADJ
cana-1706	55	17	;	;	PUNCT
cana-1706	55	18	normal	normal	ADJ
cana-1706	55	19	is	be	AUX
cana-1706	55	20	firmly	firmly	ADV
cana-1706	55	21	in	in	ADP
cana-1706	55	22	the	the	DET
cana-1706	55	23	eye	eye	NOUN
cana-1706	55	24	of	of	ADP
cana-1706	55	25	the	the	DET
cana-1706	55	26	beholder	beholder	NOUN
cana-1706	55	27	,	,	PUNCT
cana-1706	55	28	modifying	modify	VERB
cana-1706	55	29	between	between	ADP
cana-1706	55	30	devices	device	NOUN
cana-1706	55	31	and	and	CCONJ
cana-1706	55	32	scenarios	scenario	NOUN
cana-1706	55	33	.	.	PUNCT
cana-1706	56	1	for	for	ADP
cana-1706	56	2	example	example	NOUN
cana-1706	56	3	,	,	PUNCT
cana-1706	56	4	a	a	DET
cana-1706	56	5	smart	smart	ADJ
cana-1706	56	6	thermostat	thermostat	NOUN
cana-1706	56	7	on	on	ADP
cana-1706	56	8	a	a	DET
cana-1706	56	9	home	home	NOUN
cana-1706	56	10	network	network	NOUN
cana-1706	56	11	will	will	AUX
cana-1706	56	12	have	have	VERB
cana-1706	56	13	completely	completely	ADV
cana-1706	56	14	different	different	ADJ
cana-1706	56	15	traffic	traffic	NOUN
cana-1706	56	16	patterns	pattern	NOUN
cana-1706	56	17	to	to	ADP
cana-1706	56	18	a	a	DET
cana-1706	56	19	medical	medical	ADJ
cana-1706	56	20	device	device	NOUN
cana-1706	56	21	on	on	ADP
cana-1706	56	22	healthcare	healthcare	NOUN
cana-1706	56	23	network	network	NOUN
cana-1706	56	24	,	,	PUNCT
cana-1706	56	25	but	but	CCONJ
cana-1706	56	26	they	they	PRON
cana-1706	56	27	are	be	AUX
cana-1706	56	28	still	still	ADV
cana-1706	56	29	the	the	DET
cana-1706	56	30	iot	iot	PROPN
cana-1706	56	31	ecosystem	ecosystem	NOUN
cana-1706	56	32	in	in	ADP
cana-1706	56	33	general	general	ADJ
cana-1706	56	34	.	.	PUNCT
cana-1706	57	1	as	as	SCONJ
cana-1706	57	2	such	such	ADJ
cana-1706	57	3	,	,	PUNCT
cana-1706	57	4	machine	machine	NOUN
cana-1706	57	5	learning	learning	NOUN
cana-1706	57	6	models	model	NOUN
cana-1706	57	7	need	need	VERB
cana-1706	57	8	to	to	PART
cana-1706	57	9	learn	learn	VERB
cana-1706	57	10	the	the	DET
cana-1706	57	11	individual	individual	ADJ
cana-1706	57	12	traits	trait	NOUN
cana-1706	57	13	of	of	ADP
cana-1706	57	14	each	each	DET
cana-1706	57	15	device	device	NOUN
cana-1706	57	16	and	and	CCONJ
cana-1706	57	17	adapt	adapt	VERB
cana-1706	57	18	in	in	ADP
cana-1706	57	19	accordance	accordance	NOUN
cana-1706	57	20	with	with	ADP
cana-1706	57	21	changes	change	NOUN
cana-1706	57	22	in	in	ADP
cana-1706	57	23	its	its	PRON
cana-1706	57	24	behavior	behavior	NOUN
cana-1706	57	25	over	over	ADP
cana-1706	57	26	time[5	time[5	NUM
cana-1706	57	27	]	]	PUNCT
cana-1706	57	28	.	.	PUNCT
cana-1706	58	1	in	in	ADP
cana-1706	58	2	addition	addition	NOUN
cana-1706	58	3	,	,	PUNCT
cana-1706	58	4	iot	iot	PROPN
cana-1706	58	5	devices	device	NOUN
cana-1706	58	6	often	often	ADV
cana-1706	58	7	link	link	VERB
cana-1706	58	8	to	to	ADP
cana-1706	58	9	cloud	cloud	NOUN
cana-1706	58	10	services	service	NOUN
cana-1706	58	11	or	or	CCONJ
cana-1706	58	12	edge	edge	NOUN
cana-1706	58	13	computing	computing	NOUN
cana-1706	58	14	platforms	platform	NOUN
cana-1706	58	15	which	which	PRON
cana-1706	58	16	increases	increase	VERB
cana-1706	58	17	the	the	DET
cana-1706	58	18	complexity	complexity	NOUN
cana-1706	58	19	of	of	ADP
cana-1706	58	20	the	the	DET
cana-1706	58	21	network	network	NOUN
cana-1706	58	22	.	.	PUNCT
cana-1706	59	1	the	the	DET
cana-1706	59	2	anvanced	anvanced	ADJ
cana-1706	59	3	multi	multi	ADJ
cana-1706	59	4	-	-	ADJ
cana-1706	59	5	tiered	tiered	ADJ
cana-1706	59	6	architectures	architecture	NOUN
cana-1706	59	7	for	for	ADP
cana-1706	59	8	iot	iot	PROPN
cana-1706	59	9	require	require	NOUN
cana-1706	59	10	security	security	NOUN
cana-1706	59	11	solutions	solution	NOUN
cana-1706	59	12	that	that	PRON
cana-1706	59	13	can	can	AUX
cana-1706	59	14	gracefully	gracefully	ADV
cana-1706	59	15	flow	flow	VERB
cana-1706	59	16	through	through	ADP
cana-1706	59	17	layers	layer	NOUN
cana-1706	59	18	and	and	CCONJ
cana-1706	59	19	navigate	navigate	VERB
cana-1706	59	20	anomalies	anomaly	NOUN
cana-1706	59	21	in	in	ADP
cana-1706	59	22	the	the	DET
cana-1706	59	23	device	device	NOUN
cana-1706	59	24	side	side	NOUN
cana-1706	59	25	as	as	ADV
cana-1706	59	26	well	well	ADV
cana-1706	59	27	as	as	ADP
cana-1706	59	28	in	in	ADP
cana-1706	59	29	communication	communication	NOUN
cana-1706	59	30	between	between	ADP
cana-1706	59	31	devices	device	NOUN
cana-1706	59	32	to	to	ADP
cana-1706	59	33	the	the	DET
cana-1706	59	34	cloud	cloud	PROPN
cana-1706	59	35	services	service	NOUN
cana-1706	59	36	.	.	PUNCT
cana-1706	60	1	real	real	ADJ
cana-1706	60	2	-	-	PUNCT
cana-1706	60	3	time	time	NOUN
cana-1706	60	4	threat	threat	NOUN
cana-1706	60	5	detection	detection	NOUN
cana-1706	60	6	and	and	CCONJ
cana-1706	60	7	response	response	NOUN
cana-1706	60	8	are	be	AUX
cana-1706	60	9	another	another	DET
cana-1706	60	10	major	major	ADJ
cana-1706	60	11	component	component	NOUN
cana-1706	60	12	of	of	ADP
cana-1706	60	13	iot	iot	NOUN
cana-1706	60	14	security[6	security[6	PROPN
cana-1706	60	15	]	]	PUNCT
cana-1706	60	16	.	.	PUNCT
cana-1706	61	1	the	the	DET
cana-1706	61	2	consequences	consequence	NOUN
cana-1706	61	3	of	of	ADP
cana-1706	61	4	cyber	cyber	NOUN
cana-1706	61	5	-	-	PUNCT
cana-1706	61	6	attacks	attack	NOUN
cana-1706	61	7	on	on	ADP
cana-1706	61	8	iot	iot	PROPN
cana-1706	61	9	networks	network	NOUN
cana-1706	61	10	can	can	AUX
cana-1706	61	11	be	be	AUX
cana-1706	61	12	both	both	ADV
cana-1706	61	13	immediate	immediate	ADJ
cana-1706	61	14	and	and	CCONJ
cana-1706	61	15	disastrous	disastrous	ADJ
cana-1706	61	16	,	,	PUNCT
cana-1706	61	17	especially	especially	ADV
cana-1706	61	18	in	in	ADP
cana-1706	61	19	areas	area	NOUN
cana-1706	61	20	such	such	ADJ
cana-1706	61	21	as	as	ADP
cana-1706	61	22	healthcare	healthcare	NOUN
cana-1706	61	23	,	,	PUNCT
cana-1706	61	24	transport	transport	NOUN
cana-1706	61	25	,	,	PUNCT
cana-1706	61	26	or	or	CCONJ
cana-1706	61	27	energy	energy	NOUN
cana-1706	61	28	that	that	PRON
cana-1706	61	29	provide	provide	VERB
cana-1706	61	30	basic	basic	ADJ
cana-1706	61	31	amenities	amenity	NOUN
cana-1706	61	32	.	.	PUNCT
cana-1706	62	1	such	such	ADJ
cana-1706	62	2	as	as	ADP
cana-1706	62	3	a	a	DET
cana-1706	62	4	connected	connected	ADJ
cana-1706	62	5	medical	medical	ADJ
cana-1706	62	6	device	device	NOUN
cana-1706	62	7	could	could	AUX
cana-1706	62	8	be	be	AUX
cana-1706	62	9	targeted	target	VERB
cana-1706	62	10	,	,	PUNCT
cana-1706	62	11	harmful	harmful	ADJ
cana-1706	62	12	to	to	ADP
cana-1706	62	13	the	the	DET
cana-1706	62	14	patient	patient	NOUN
cana-1706	62	15	's	's	PART
cana-1706	62	16	live	live	ADJ
cana-1706	62	17	or	or	CCONJ
cana-1706	62	18	disrupting	disrupt	VERB
cana-1706	62	19	operations	operation	NOUN
cana-1706	62	20	and	and	CCONJ
cana-1706	62	21	go	go	VERB
cana-1706	62	22	bankrupt	bankrupt	ADJ
cana-1706	62	23	due	due	ADP
cana-1706	62	24	to	to	ADP
cana-1706	62	25	the	the	DET
cana-1706	62	26	specific	specific	ADJ
cana-1706	62	27	cyber	cyber	NOUN
cana-1706	62	28	-	-	PUNCT
cana-1706	62	29	attack	attack	NOUN
cana-1706	62	30	on	on	ADP
cana-1706	62	31	the	the	DET
cana-1706	62	32	industrial	industrial	ADJ
cana-1706	62	33	control	control	NOUN
cana-1706	62	34	system	system	NOUN
cana-1706	62	35	.	.	PUNCT
cana-1706	63	1	hence	hence	ADV
cana-1706	63	2	,	,	PUNCT
cana-1706	63	3	iot	iot	ADJ
cana-1706	63	4	security	security	NOUN
cana-1706	63	5	systems	system	NOUN
cana-1706	63	6	should	should	AUX
cana-1706	63	7	be	be	AUX
cana-1706	63	8	able	able	ADJ
cana-1706	63	9	to	to	PART
cana-1706	63	10	identify	identify	VERB
cana-1706	63	11	threats	threat	NOUN
cana-1706	63	12	instantly	instantly	ADV
cana-1706	63	13	and	and	CCONJ
cana-1706	63	14	act	act	VERB
cana-1706	63	15	on	on	ADP
cana-1706	63	16	it	it	PRON
cana-1706	63	17	to	to	PART
cana-1706	63	18	avoid	avoid	VERB
cana-1706	63	19	any	any	DET
cana-1706	63	20	harm	harm	NOUN
cana-1706	63	21	.	.	PUNCT
cana-1706	64	1	in	in	ADP
cana-1706	64	2	this	this	DET
cana-1706	64	3	light	light	NOUN
cana-1706	64	4	,	,	PUNCT
cana-1706	64	5	the	the	DET
cana-1706	64	6	newly	newly	ADV
cana-1706	64	7	proposed	propose	VERB
cana-1706	64	8	machine	machine	NOUN
cana-1706	64	9	learning	learn	VERB
cana-1706	64	10	approach	approach	NOUN
cana-1706	64	11	for	for	ADP
cana-1706	64	12	anomaly	anomaly	NOUN
cana-1706	64	13	detection	detection	NOUN
cana-1706	64	14	is	be	AUX
cana-1706	64	15	designed	design	VERB
cana-1706	64	16	to	to	PART
cana-1706	64	17	deploy	deploy	VERB
cana-1706	64	18	real	real	ADJ
cana-1706	64	19	-	-	PUNCT
cana-1706	64	20	time	time	NOUN
cana-1706	64	21	data	datum	NOUN
cana-1706	64	22	processing	processing	NOUN
cana-1706	64	23	and	and	CCONJ
cana-1706	64	24	analysis	analysis	NOUN
cana-1706	64	25	.	.	PUNCT
cana-1706	65	1	as	as	ADP
cana-1706	65	2	a	a	DET
cana-1706	65	3	result	result	NOUN
cana-1706	65	4	of	of	ADP
cana-1706	65	5	continuously	continuously	ADV
cana-1706	65	6	scrutinizing	scrutinize	VERB
cana-1706	65	7	network	network	NOUN
cana-1706	65	8	traffic	traffic	NOUN
cana-1706	65	9	and	and	CCONJ
cana-1706	65	10	device	device	NOUN
cana-1706	65	11	behavior	behavior	NOUN
cana-1706	65	12	,	,	PUNCT
cana-1706	65	13	deviations	deviation	NOUN
cana-1706	65	14	from	from	ADP
cana-1706	65	15	standard	standard	ADJ
cana-1706	65	16	patterns	pattern	NOUN
cana-1706	65	17	can	can	AUX
cana-1706	65	18	be	be	AUX
cana-1706	65	19	noted	note	VERB
cana-1706	65	20	as	as	SCONJ
cana-1706	65	21	they	they	PRON
cana-1706	65	22	occur	occur	VERB
cana-1706	65	23	with	with	ADP
cana-1706	65	24	the	the	DET
cana-1706	65	25	model	model	NOUN
cana-1706	65	26	able	able	ADJ
cana-1706	65	27	to	to	PART
cana-1706	65	28	intervene	intervene	VERB
cana-1706	65	29	at	at	ADP
cana-1706	65	30	the	the	DET
cana-1706	65	31	proper	proper	ADJ
cana-1706	65	32	time	time	NOUN
cana-1706	65	33	.	.	PUNCT
cana-1706	66	1	optimization	optimization	NOUN
cana-1706	66	2	algorithms	algorithm	NOUN
cana-1706	66	3	support	support	VERB
cana-1706	66	4	the	the	DET
cana-1706	66	5	system	system	NOUN
cana-1706	66	6	to	to	PART
cana-1706	66	7	work	work	VERB
cana-1706	66	8	efficiently	efficiently	ADV
cana-1706	66	9	so	so	SCONJ
cana-1706	66	10	that	that	SCONJ
cana-1706	66	11	it	it	PRON
cana-1706	66	12	could	could	AUX
cana-1706	66	13	even	even	ADV
cana-1706	66	14	operate	operate	VERB
cana-1706	66	15	properly	properly	ADV
cana-1706	66	16	in	in	ADP
cana-1706	66	17	resourcecommunications	resourcecommunication	NOUN
cana-1706	66	18	on	on	ADP
cana-1706	66	19	applied	apply	VERB
cana-1706	66	20	nonlinear	nonlinear	ADJ
cana-1706	66	21	analysis	analysis	NOUN
cana-1706	66	22	issn	issn	NOUN
cana-1706	66	23	:	:	PUNCT
cana-1706	66	24	1074	1074	NUM
cana-1706	66	25	-	-	PUNCT
cana-1706	66	26	133x	133x	NUM
cana-1706	66	27	vol	vol	NOUN
cana-1706	66	28	32	32	NUM
cana-1706	66	29	no	no	NOUN
cana-1706	66	30	.	.	NOUN
cana-1706	66	31	2	2	NUM
cana-1706	66	32	(	(	PUNCT
cana-1706	66	33	2025	2025	NUM
cana-1706	66	34	)	)	PUNCT
cana-1706	66	35	31	31	NUM
cana-1706	66	36	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	66	37	constrained	constrain	VERB
cana-1706	66	38	environments	environment	NOUN
cana-1706	66	39	by	by	ADP
cana-1706	66	40	remotely	remotely	ADV
cana-1706	66	41	changing	change	VERB
cana-1706	66	42	detection	detection	NOUN
cana-1706	66	43	thresholds	threshold	NOUN
cana-1706	66	44	and	and	CCONJ
cana-1706	66	45	allocating	allocate	VERB
cana-1706	66	46	resources	resource	NOUN
cana-1706	66	47	depending	depend	VERB
cana-1706	66	48	on	on	ADP
cana-1706	66	49	the	the	DET
cana-1706	66	50	current	current	ADJ
cana-1706	66	51	threat	threat	NOUN
cana-1706	66	52	landscape	landscape	NOUN
cana-1706	66	53	.	.	PUNCT
cana-1706	67	1	while	while	SCONJ
cana-1706	67	2	machine	machine	NOUN
cana-1706	67	3	learning	learning	NOUN
cana-1706	67	4	and	and	CCONJ
cana-1706	67	5	optimization	optimization	NOUN
cana-1706	67	6	techniques	technique	NOUN
cana-1706	67	7	may	may	AUX
cana-1706	67	8	hold	hold	VERB
cana-1706	67	9	promise	promise	NOUN
cana-1706	67	10	for	for	ADP
cana-1706	67	11	improving	improve	VERB
cana-1706	67	12	iot	iot	ADJ
cana-1706	67	13	security	security	NOUN
cana-1706	67	14	,	,	PUNCT
cana-1706	67	15	a	a	DET
cana-1706	67	16	number	number	NOUN
cana-1706	67	17	of	of	ADP
cana-1706	67	18	challenges	challenge	NOUN
cana-1706	67	19	remain	remain	VERB
cana-1706	67	20	.	.	PUNCT
cana-1706	68	1	one	one	NUM
cana-1706	68	2	of	of	ADP
cana-1706	68	3	the	the	DET
cana-1706	68	4	biggest	big	ADJ
cana-1706	68	5	challenges	challenge	NOUN
cana-1706	68	6	is	be	AUX
cana-1706	68	7	how	how	SCONJ
cana-1706	68	8	to	to	PART
cana-1706	68	9	address	address	VERB
cana-1706	68	10	scalability	scalability	NOUN
cana-1706	68	11	.	.	PUNCT
cana-1706	69	1	the	the	DET
cana-1706	69	2	number	number	NOUN
cana-1706	69	3	of	of	ADP
cana-1706	69	4	iot	iot	PROPN
cana-1706	69	5	networks	network	NOUN
cana-1706	69	6	has	have	AUX
cana-1706	69	7	expanded	expand	VERB
cana-1706	69	8	enormously	enormously	ADV
cana-1706	69	9	,	,	PUNCT
cana-1706	69	10	and	and	CCONJ
cana-1706	69	11	the	the	DET
cana-1706	69	12	information	information	NOUN
cana-1706	69	13	produced	produce	VERB
cana-1706	69	14	by	by	ADP
cana-1706	69	15	these	these	DET
cana-1706	69	16	tools	tool	NOUN
cana-1706	69	17	has	have	AUX
cana-1706	69	18	also	also	ADV
cana-1706	69	19	grown	grow	VERB
cana-1706	69	20	into	into	ADP
cana-1706	69	21	a	a	DET
cana-1706	69	22	huge	huge	ADJ
cana-1706	69	23	part	part	NOUN
cana-1706	69	24	with	with	ADP
cana-1706	69	25	such	such	ADJ
cana-1706	69	26	amounts	amount	NOUN
cana-1706	69	27	of	of	ADP
cana-1706	69	28	data	datum	NOUN
cana-1706	69	29	,	,	PUNCT
cana-1706	69	30	it	it	PRON
cana-1706	69	31	is	be	AUX
cana-1706	69	32	crucial	crucial	ADJ
cana-1706	69	33	that	that	SCONJ
cana-1706	69	34	the	the	DET
cana-1706	69	35	machine	machine	NOUN
cana-1706	69	36	learning	learning	NOUN
cana-1706	69	37	models	model	NOUN
cana-1706	69	38	are	be	AUX
cana-1706	69	39	capable	capable	ADJ
cana-1706	69	40	of	of	ADP
cana-1706	69	41	processing	processing	NOUN
cana-1706	69	42	and	and	CCONJ
cana-1706	69	43	analyzing	analyze	VERB
cana-1706	69	44	large	large	ADJ
cana-1706	69	45	volumes	volume	NOUN
cana-1706	69	46	of	of	ADP
cana-1706	69	47	data	datum	NOUN
cana-1706	69	48	within	within	ADP
cana-1706	69	49	acceptable	acceptable	ADJ
cana-1706	69	50	bounds	bound	NOUN
cana-1706	69	51	so	so	SCONJ
cana-1706	69	52	they	they	PRON
cana-1706	69	53	do	do	AUX
cana-1706	69	54	not	not	PART
cana-1706	69	55	flood	flood	VERB
cana-1706	69	56	the	the	DET
cana-1706	69	57	network	network	NOUN
cana-1706	69	58	or	or	CCONJ
cana-1706	69	59	delay	delay	NOUN
cana-1706	69	60	threat	threat	NOUN
cana-1706	69	61	detection	detection	NOUN
cana-1706	69	62	.	.	PUNCT
cana-1706	70	1	in	in	ADP
cana-1706	70	2	this	this	DET
cana-1706	70	3	context	context	NOUN
cana-1706	70	4	,	,	PUNCT
cana-1706	70	5	faster	fast	ADJ
cana-1706	70	6	and	and	CCONJ
cana-1706	70	7	better	well	ADJ
cana-1706	70	8	algorithms	algorithm	NOUN
cana-1706	70	9	capable	capable	ADJ
cana-1706	70	10	of	of	ADP
cana-1706	70	11	processing	process	VERB
cana-1706	70	12	vast	vast	ADJ
cana-1706	70	13	amounts	amount	NOUN
cana-1706	70	14	of	of	ADP
cana-1706	70	15	data	datum	NOUN
cana-1706	70	16	in	in	ADP
cana-1706	70	17	a	a	DET
cana-1706	70	18	very	very	ADV
cana-1706	70	19	efficient	efficient	ADJ
cana-1706	70	20	way	way	NOUN
cana-1706	70	21	are	be	AUX
cana-1706	70	22	needed	need	VERB
cana-1706	70	23	,	,	PUNCT
cana-1706	70	24	without	without	ADP
cana-1706	70	25	compromising	compromise	VERB
cana-1706	70	26	the	the	DET
cana-1706	70	27	accuracy	accuracy	NOUN
cana-1706	70	28	in	in	ADP
cana-1706	70	29	detection	detection	NOUN
cana-1706	70	30	.	.	PUNCT
cana-1706	71	1	furthermore	furthermore	ADV
cana-1706	71	2	,	,	PUNCT
cana-1706	71	3	the	the	DET
cana-1706	71	4	resource	resource	NOUN
cana-1706	71	5	constraints	constraint	NOUN
cana-1706	71	6	of	of	ADP
cana-1706	71	7	arguably	arguably	ADV
cana-1706	71	8	the	the	DET
cana-1706	71	9	majority	majority	NOUN
cana-1706	71	10	of	of	ADP
cana-1706	71	11	iot	iot	PROPN
cana-1706	71	12	devices	device	NOUN
cana-1706	71	13	makes	make	VERB
cana-1706	71	14	deploying	deploy	VERB
cana-1706	71	15	complex	complex	ADJ
cana-1706	71	16	machine	machine	NOUN
cana-1706	71	17	learning	learning	NOUN
cana-1706	71	18	algorithms	algorithm	VERB
cana-1706	71	19	a	a	DET
cana-1706	71	20	non	non	ADJ
cana-1706	71	21	-	-	NOUN
cana-1706	71	22	starter	starter	ADJ
cana-1706	71	23	in	in	ADP
cana-1706	71	24	many	many	ADJ
cana-1706	71	25	cases	case	NOUN
cana-1706	71	26	.	.	PUNCT
cana-1706	72	1	one	one	NUM
cana-1706	72	2	potential	potential	ADJ
cana-1706	72	3	solution	solution	NOUN
cana-1706	72	4	to	to	ADP
cana-1706	72	5	this	this	DET
cana-1706	72	6	problem	problem	NOUN
cana-1706	72	7	(	(	PUNCT
cana-1706	72	8	assuming	assume	VERB
cana-1706	72	9	the	the	DET
cana-1706	72	10	processing	processing	NOUN
cana-1706	72	11	takes	take	VERB
cana-1706	72	12	place	place	NOUN
cana-1706	72	13	at	at	ADP
cana-1706	72	14	a	a	DET
cana-1706	72	15	relatively	relatively	ADV
cana-1706	72	16	fixed	fix	VERB
cana-1706	72	17	location	location	NOUN
cana-1706	72	18	)	)	PUNCT
cana-1706	72	19	is	be	AUX
cana-1706	72	20	edge	edge	NOUN
cana-1706	72	21	computing	computing	NOUN
cana-1706	72	22	,	,	PUNCT
cana-1706	72	23	which	which	PRON
cana-1706	72	24	enables	enable	VERB
cana-1706	72	25	some	some	PRON
cana-1706	72	26	of	of	ADP
cana-1706	72	27	the	the	DET
cana-1706	72	28	processing	processing	NOUN
cana-1706	72	29	to	to	PART
cana-1706	72	30	be	be	AUX
cana-1706	72	31	offloaded	offload	VERB
cana-1706	72	32	and	and	CCONJ
cana-1706	72	33	performed	perform	VERB
cana-1706	72	34	on	on	ADP
cana-1706	72	35	nearby	nearby	ADJ
cana-1706	72	36	edge	edge	NOUN
cana-1706	72	37	servers	server	NOUN
cana-1706	72	38	.	.	PUNCT
cana-1706	73	1	but	but	CCONJ
cana-1706	73	2	this	this	DET
cana-1706	73	3	method	method	NOUN
cana-1706	73	4	introduces	introduce	VERB
cana-1706	73	5	new	new	ADJ
cana-1706	73	6	problems	problem	NOUN
cana-1706	73	7	:	:	PUNCT
cana-1706	73	8	how	how	SCONJ
cana-1706	73	9	to	to	PART
cana-1706	73	10	secure	secure	VERB
cana-1706	73	11	the	the	DET
cana-1706	73	12	connection	connection	NOUN
cana-1706	73	13	between	between	ADP
cana-1706	73	14	the	the	DET
cana-1706	73	15	devices	device	NOUN
cana-1706	73	16	and	and	CCONJ
cana-1706	73	17	edge	edge	NOUN
cana-1706	73	18	servers	server	NOUN
cana-1706	73	19	and	and	CCONJ
cana-1706	73	20	how	how	SCONJ
cana-1706	73	21	to	to	PART
cana-1706	73	22	balance	balance	VERB
cana-1706	73	23	latency	latency	NOUN
cana-1706	73	24	and	and	CCONJ
cana-1706	73	25	detection	detection	NOUN
cana-1706	73	26	accuracy.[7	accuracy.[7	ADP
cana-1706	73	27	]	]	PUNCT
cana-1706	73	28	this	this	PRON
cana-1706	73	29	also	also	ADV
cana-1706	73	30	presents	present	VERB
cana-1706	73	31	the	the	DET
cana-1706	73	32	challenge	challenge	NOUN
cana-1706	73	33	of	of	ADP
cana-1706	73	34	requiring	require	VERB
cana-1706	73	35	strong	strong	ADJ
cana-1706	73	36	,	,	PUNCT
cana-1706	73	37	transparent	transparent	ADJ
cana-1706	73	38	machine	machine	NOUN
cana-1706	73	39	learning	learning	NOUN
cana-1706	73	40	models	model	NOUN
cana-1706	73	41	.	.	PUNCT
cana-1706	74	1	because	because	SCONJ
cana-1706	74	2	the	the	DET
cana-1706	74	3	systems	system	NOUN
cana-1706	74	4	that	that	PRON
cana-1706	74	5	are	be	AUX
cana-1706	74	6	used	use	VERB
cana-1706	74	7	in	in	ADP
cana-1706	74	8	some	some	DET
cana-1706	74	9	iot	iot	NOUN
cana-1706	74	10	applications	application	NOUN
cana-1706	74	11	,	,	PUNCT
cana-1706	74	12	and	and	CCONJ
cana-1706	74	13	particularly	particularly	ADV
cana-1706	74	14	those	those	PRON
cana-1706	74	15	for	for	ADP
cana-1706	74	16	critical	critical	ADJ
cana-1706	74	17	infrastructure	infrastructure	NOUN
cana-1706	74	18	such	such	ADJ
cana-1706	74	19	as	as	ADP
cana-1706	74	20	electric	electric	ADJ
cana-1706	74	21	networks	network	NOUN
cana-1706	74	22	,	,	PUNCT
cana-1706	74	23	need	need	VERB
cana-1706	74	24	more	more	ADJ
cana-1706	74	25	than	than	ADP
cana-1706	74	26	just	just	ADV
cana-1706	74	27	any	any	DET
cana-1706	74	28	kind	kind	NOUN
cana-1706	74	29	of	of	ADP
cana-1706	74	30	decision	decision	NOUN
cana-1706	74	31	from	from	ADP
cana-1706	74	32	an	an	DET
cana-1706	74	33	anomaly	anomaly	NOUN
cana-1706	74	34	detection	detection	NOUN
cana-1706	74	35	model	model	NOUN
cana-1706	74	36	.	.	PUNCT
cana-1706	75	1	this	this	PRON
cana-1706	75	2	is	be	AUX
cana-1706	75	3	quite	quite	ADV
cana-1706	75	4	helpful	helpful	ADJ
cana-1706	75	5	in	in	ADP
cana-1706	75	6	cases	case	NOUN
cana-1706	75	7	where	where	SCONJ
cana-1706	75	8	a	a	DET
cana-1706	75	9	false	false	ADJ
cana-1706	75	10	positive	positive	ADJ
cana-1706	75	11	or	or	CCONJ
cana-1706	75	12	negative	negative	ADJ
cana-1706	75	13	can	can	AUX
cana-1706	75	14	have	have	VERB
cana-1706	75	15	serious	serious	ADJ
cana-1706	75	16	consequences	consequence	NOUN
cana-1706	75	17	.	.	PUNCT
cana-1706	76	1	a	a	DET
cana-1706	76	2	false	false	ADJ
cana-1706	76	3	positive	positive	ADJ
cana-1706	76	4	could	could	AUX
cana-1706	76	5	result	result	VERB
cana-1706	76	6	in	in	ADP
cana-1706	76	7	unnecessary	unnecessary	ADJ
cana-1706	76	8	interventions	intervention	NOUN
cana-1706	76	9	in	in	ADP
cana-1706	76	10	the	the	DET
cana-1706	76	11	case	case	NOUN
cana-1706	76	12	of	of	ADP
cana-1706	76	13	a	a	DET
cana-1706	76	14	healthcare	healthcare	NOUN
cana-1706	76	15	scenario	scenario	NOUN
cana-1706	76	16	or	or	CCONJ
cana-1706	76	17	a	a	DET
cana-1706	76	18	false	false	ADJ
cana-1706	76	19	negative	negative	NOUN
cana-1706	76	20	would	would	AUX
cana-1706	76	21	leave	leave	VERB
cana-1706	76	22	the	the	DET
cana-1706	76	23	organisation	organisation	NOUN
cana-1706	76	24	oblivious	oblivious	ADJ
cana-1706	76	25	to	to	ADP
cana-1706	76	26	any	any	DET
cana-1706	76	27	cyber	cyber	NOUN
cana-1706	76	28	-	-	PUNCT
cana-1706	76	29	attack	attack	NOUN
cana-1706	76	30	occurring	occurring	NOUN
cana-1706	76	31	.	.	PUNCT
cana-1706	77	1	accordingly	accordingly	ADV
cana-1706	77	2	,	,	PUNCT
cana-1706	77	3	the	the	DET
cana-1706	77	4	work	work	NOUN
cana-1706	77	5	has	have	VERB
cana-1706	77	6	a	a	DET
cana-1706	77	7	core	core	ADJ
cana-1706	77	8	focus	focus	NOUN
cana-1706	77	9	on	on	ADP
cana-1706	77	10	constructing	construct	VERB
cana-1706	77	11	machine	machine	NOUN
cana-1706	77	12	learning	learning	NOUN
cana-1706	77	13	models	model	NOUN
cana-1706	77	14	or	or	CCONJ
cana-1706	77	15	algorithms	algorithm	NOUN
cana-1706	77	16	that	that	PRON
cana-1706	77	17	are	be	AUX
cana-1706	77	18	interpretable	interpretable	ADJ
cana-1706	77	19	as	as	ADV
cana-1706	77	20	well	well	ADV
cana-1706	77	21	as	as	ADP
cana-1706	77	22	accurate	accurate	ADJ
cana-1706	77	23	.	.	PUNCT
cana-1706	78	1	to	to	PART
cana-1706	78	2	increase	increase	VERB
cana-1706	78	3	the	the	DET
cana-1706	78	4	trust	trust	NOUN
cana-1706	78	5	towards	towards	ADP
cana-1706	78	6	such	such	ADJ
cana-1706	78	7	ml	ml	NOUN
cana-1706	78	8	-	-	PUNCT
cana-1706	78	9	based	base	VERB
cana-1706	78	10	systems	system	NOUN
cana-1706	78	11	,	,	PUNCT
cana-1706	78	12	such	such	ADJ
cana-1706	78	13	as	as	ADP
cana-1706	78	14	anomaly	anomaly	NOUN
cana-1706	78	15	detection	detection	NOUN
cana-1706	78	16	in	in	ADP
cana-1706	78	17	iot	iot	PROPN
cana-1706	78	18	networks	network	NOUN
cana-1706	78	19	,	,	PUNCT
cana-1706	78	20	it	it	PRON
cana-1706	78	21	is	be	AUX
cana-1706	78	22	necessary	necessary	ADJ
cana-1706	78	23	to	to	PART
cana-1706	78	24	allow	allow	VERB
cana-1706	78	25	an	an	DET
cana-1706	78	26	explanation	explanation	NOUN
cana-1706	78	27	how	how	SCONJ
cana-1706	78	28	a	a	DET
cana-1706	78	29	model	model	NOUN
cana-1706	78	30	reaches	reach	VERB
cana-1706	78	31	its	its	PRON
cana-1706	78	32	decision	decision	NOUN
cana-1706	78	33	(	(	PUNCT
cana-1706	78	34	e.	e.	PROPN
cana-1706	78	35	g.	g.	PROPN
cana-1706	78	36	,	,	PUNCT
cana-1706	78	37	explainable	explainable	ADJ
cana-1706	78	38	machine	machine	NOUN
cana-1706	78	39	learning	learn	VERB
cana-1706	78	40	techniques).[8	techniques).[8	NOUN
cana-1706	78	41	]	]	PUNCT
cana-1706	78	42	the	the	DET
cana-1706	78	43	model	model	NOUN
cana-1706	78	44	presented	present	VERB
cana-1706	78	45	in	in	ADP
cana-1706	78	46	this	this	PRON
cana-1706	78	47	proposed	propose	VERB
cana-1706	78	48	is	be	AUX
cana-1706	78	49	widely	widely	ADV
cana-1706	78	50	applicable	applicable	ADJ
cana-1706	78	51	across	across	ADP
cana-1706	78	52	industries	industry	NOUN
cana-1706	78	53	in	in	ADP
cana-1706	78	54	terms	term	NOUN
cana-1706	78	55	of	of	ADP
cana-1706	78	56	applications	application	NOUN
cana-1706	78	57	.	.	PUNCT
cana-1706	79	1	for	for	ADP
cana-1706	79	2	instance	instance	NOUN
cana-1706	79	3	,	,	PUNCT
cana-1706	79	4	in	in	ADP
cana-1706	79	5	smart	smart	ADJ
cana-1706	79	6	cities	city	NOUN
cana-1706	79	7	that	that	PRON
cana-1706	79	8	leverage	leverage	VERB
cana-1706	79	9	iot	iot	NOUN
cana-1706	79	10	devices	device	NOUN
cana-1706	79	11	to	to	PART
cana-1706	79	12	control	control	VERB
cana-1706	79	13	a	a	DET
cana-1706	79	14	wide	wide	ADJ
cana-1706	79	15	range	range	NOUN
cana-1706	79	16	of	of	ADP
cana-1706	79	17	applications	application	NOUN
cana-1706	79	18	such	such	ADJ
cana-1706	79	19	as	as	ADP
cana-1706	79	20	traffic	traffic	NOUN
cana-1706	79	21	systems	system	NOUN
cana-1706	79	22	and	and	CCONJ
cana-1706	79	23	public	public	ADJ
cana-1706	79	24	utilities	utility	NOUN
cana-1706	79	25	,	,	PUNCT
cana-1706	79	26	there	there	PRON
cana-1706	79	27	is	be	VERB
cana-1706	79	28	an	an	DET
cana-1706	79	29	inherent	inherent	ADJ
cana-1706	79	30	need	need	NOUN
cana-1706	79	31	for	for	ADP
cana-1706	79	32	the	the	DET
cana-1706	79	33	detection	detection	NOUN
cana-1706	79	34	of	of	ADP
cana-1706	79	35	cyber	cyber	NOUN
cana-1706	79	36	threats	threat	NOUN
cana-1706	79	37	and	and	CCONJ
cana-1706	79	38	mitigation	mitigation	NOUN
cana-1706	79	39	in	in	ADP
cana-1706	79	40	real	real	ADJ
cana-1706	79	41	-	-	PUNCT
cana-1706	79	42	time	time	NOUN
cana-1706	79	43	to	to	PART
cana-1706	79	44	ensure	ensure	VERB
cana-1706	79	45	that	that	SCONJ
cana-1706	79	46	the	the	DET
cana-1706	79	47	city	city	NOUN
cana-1706	79	48	's	's	PART
cana-1706	79	49	infrastructure	infrastructure	NOUN
cana-1706	79	50	continues	continue	VERB
cana-1706	79	51	to	to	PART
cana-1706	79	52	operate	operate	VERB
cana-1706	79	53	both	both	PRON
cana-1706	79	54	safely	safely	ADV
cana-1706	79	55	and	and	CCONJ
cana-1706	79	56	securely	securely	ADV
cana-1706	79	57	.	.	PUNCT
cana-1706	80	1	in	in	ADP
cana-1706	80	2	the	the	DET
cana-1706	80	3	industrial	industrial	ADJ
cana-1706	80	4	iot	iot	NOUN
cana-1706	80	5	(	(	PUNCT
cana-1706	80	6	iiot	iiot	NOUN
cana-1706	80	7	)	)	PUNCT
cana-1706	80	8	space	space	NOUN
cana-1706	80	9	,	,	PUNCT
cana-1706	80	10	which	which	PRON
cana-1706	80	11	encompasses	encompass	VERB
cana-1706	80	12	manufacturing	manufacturing	NOUN
cana-1706	80	13	and	and	CCONJ
cana-1706	80	14	supply	supply	NOUN
cana-1706	80	15	chain	chain	NOUN
cana-1706	80	16	operations	operation	NOUN
cana-1706	80	17	,	,	PUNCT
cana-1706	80	18	connected	connected	ADJ
cana-1706	80	19	device	device	NOUN
cana-1706	80	20	security	security	NOUN
cana-1706	80	21	is	be	AUX
cana-1706	80	22	vital	vital	ADJ
cana-1706	80	23	to	to	ADP
cana-1706	80	24	maintaining	maintain	VERB
cana-1706	80	25	operational	operational	ADJ
cana-1706	80	26	reliability	reliability	NOUN
cana-1706	80	27	and	and	CCONJ
cana-1706	80	28	safeguarding	safeguard	VERB
cana-1706	80	29	propriety	propriety	NOUN
cana-1706	80	30	information	information	NOUN
cana-1706	80	31	.	.	PUNCT
cana-1706	81	1	healthcare	healthcare	NOUN
cana-1706	81	2	is	be	AUX
cana-1706	81	3	also	also	ADV
cana-1706	81	4	an	an	DET
cana-1706	81	5	example	example	NOUN
cana-1706	81	6	of	of	ADP
cana-1706	81	7	a	a	DET
cana-1706	81	8	critical	critical	ADJ
cana-1706	81	9	sector	sector	NOUN
cana-1706	81	10	in	in	ADP
cana-1706	81	11	need	need	NOUN
cana-1706	81	12	for	for	ADP
cana-1706	81	13	iot	iot	ADJ
cana-1706	81	14	security	security	NOUN
cana-1706	81	15	.	.	PUNCT
cana-1706	82	1	however	however	ADV
cana-1706	82	2	,	,	PUNCT
cana-1706	82	3	as	as	SCONJ
cana-1706	82	4	more	more	ADJ
cana-1706	82	5	and	and	CCONJ
cana-1706	82	6	more	more	ADV
cana-1706	82	7	connected	connected	ADJ
cana-1706	82	8	medical	medical	ADJ
cana-1706	82	9	devices	device	NOUN
cana-1706	82	10	and	and	CCONJ
cana-1706	82	11	other	other	ADJ
cana-1706	82	12	systems	system	NOUN
cana-1706	82	13	that	that	PRON
cana-1706	82	14	perform	perform	VERB
cana-1706	82	15	remote	remote	ADJ
cana-1706	82	16	monitoring	monitoring	NOUN
cana-1706	82	17	are	be	AUX
cana-1706	82	18	being	be	AUX
cana-1706	82	19	developed	develop	VERB
cana-1706	82	20	and	and	CCONJ
cana-1706	82	21	used	use	VERB
cana-1706	82	22	,	,	PUNCT
cana-1706	82	23	a	a	DET
cana-1706	82	24	security	security	NOUN
cana-1706	82	25	breach	breach	NOUN
cana-1706	82	26	in	in	ADP
cana-1706	82	27	these	these	PRON
cana-1706	82	28	could	could	AUX
cana-1706	82	29	easily	easily	ADV
cana-1706	82	30	translate	translate	VERB
cana-1706	82	31	to	to	ADP
cana-1706	82	32	lifethreatening	lifethreatene	VERB
cana-1706	82	33	results	result	NOUN
cana-1706	82	34	.	.	PUNCT
cana-1706	83	1	healthcare	healthcare	NOUN
cana-1706	83	2	organizations	organization	NOUN
cana-1706	83	3	can	can	AUX
cana-1706	83	4	use	use	VERB
cana-1706	83	5	this	this	DET
cana-1706	83	6	method	method	NOUN
cana-1706	83	7	to	to	PART
cana-1706	83	8	improve	improve	VERB
cana-1706	83	9	the	the	DET
cana-1706	83	10	security	security	NOUN
cana-1706	83	11	of	of	ADP
cana-1706	83	12	their	their	PRON
cana-1706	83	13	iot	iot	NOUN
cana-1706	83	14	networks	network	NOUN
cana-1706	83	15	and	and	CCONJ
cana-1706	83	16	keep	keep	VERB
cana-1706	83	17	patient	patient	ADJ
cana-1706	83	18	data	datum	NOUN
cana-1706	83	19	&	&	CCONJ
cana-1706	83	20	safety	safety	NOUN
cana-1706	83	21	secured	secure	VERB
cana-1706	83	22	by	by	ADP
cana-1706	83	23	deploying	deploy	VERB
cana-1706	83	24	suggested	suggest	VERB
cana-1706	83	25	anomaly	anomaly	NOUN
cana-1706	83	26	detection	detection	PROPN
cana-1706	83	27	&	&	CCONJ
cana-1706	83	28	optimization	optimization	NOUN
cana-1706	83	29	model	model	NOUN
cana-1706	83	30	.	.	PUNCT
cana-1706	84	1	ultimately	ultimately	ADV
cana-1706	84	2	,	,	PUNCT
cana-1706	84	3	as	as	SCONJ
cana-1706	84	4	we	we	PRON
cana-1706	84	5	see	see	VERB
cana-1706	84	6	iot	iot	PROPN
cana-1706	84	7	networks	network	NOUN
cana-1706	84	8	grow	grow	VERB
cana-1706	84	9	and	and	CCONJ
cana-1706	84	10	infiltrate	infiltrate	VERB
cana-1706	84	11	different	different	ADJ
cana-1706	84	12	realms	realm	NOUN
cana-1706	84	13	of	of	ADP
cana-1706	84	14	use	use	NOUN
cana-1706	84	15	,	,	PUNCT
cana-1706	84	16	the	the	DET
cana-1706	84	17	necessity	necessity	NOUN
cana-1706	84	18	for	for	ADP
cana-1706	84	19	capable	capable	ADJ
cana-1706	84	20	security	security	NOUN
cana-1706	84	21	solutions	solution	NOUN
cana-1706	84	22	that	that	PRON
cana-1706	84	23	are	be	AUX
cana-1706	84	24	not	not	PART
cana-1706	84	25	just	just	ADV
cana-1706	84	26	fit	fit	ADJ
cana-1706	84	27	-	-	PUNCT
cana-1706	84	28	for	for	ADP
cana-1706	84	29	-	-	PUNCT
cana-1706	84	30	purpose	purpose	NOUN
cana-1706	84	31	but	but	CCONJ
cana-1706	84	32	can	can	AUX
cana-1706	84	33	also	also	ADV
cana-1706	84	34	evolve	evolve	VERB
cana-1706	84	35	to	to	ADP
cana-1706	84	36	changing	change	VERB
cana-1706	84	37	threats	threat	NOUN
cana-1706	84	38	becomes	become	VERB
cana-1706	84	39	even	even	ADV
cana-1706	84	40	more	more	ADV
cana-1706	84	41	vital	vital	ADJ
cana-1706	84	42	.	.	PUNCT
cana-1706	85	1	conventional	conventional	ADJ
cana-1706	85	2	methods	method	NOUN
cana-1706	85	3	for	for	ADP
cana-1706	85	4	cybersecurity	cybersecurity	NOUN
cana-1706	85	5	of	of	ADP
cana-1706	85	6	iot	iot	ADJ
cana-1706	85	7	environments	environment	NOUN
cana-1706	85	8	were	be	AUX
cana-1706	85	9	not	not	PART
cana-1706	85	10	enough	enough	ADJ
cana-1706	85	11	,	,	PUNCT
cana-1706	85	12	so	so	ADV
cana-1706	85	13	innovative	innovative	ADJ
cana-1706	85	14	methods	method	NOUN
cana-1706	85	15	such	such	ADJ
cana-1706	85	16	as	as	ADP
cana-1706	85	17	mlods	mlod	NOUN
cana-1706	85	18	and	and	CCONJ
cana-1706	85	19	bounded	bound	VERB
cana-1706	85	20	optimization	optimization	NOUN
cana-1706	85	21	had	have	VERB
cana-1706	85	22	to	to	PART
cana-1706	85	23	be	be	AUX
cana-1706	85	24	developed[9	developed[9	NOUN
cana-1706	85	25	]	]	X
cana-1706	85	26	.	.	PUNCT
cana-1706	86	1	this	this	DET
cana-1706	86	2	research	research	NOUN
cana-1706	86	3	communications	communication	NOUN
cana-1706	86	4	on	on	ADP
cana-1706	86	5	applied	apply	VERB
cana-1706	86	6	nonlinear	nonlinear	ADJ
cana-1706	86	7	analysis	analysis	NOUN
cana-1706	86	8	issn	issn	NOUN
cana-1706	86	9	:	:	PUNCT
cana-1706	86	10	1074	1074	NUM
cana-1706	86	11	-	-	PUNCT
cana-1706	86	12	133x	133x	NUM
cana-1706	86	13	vol	vol	NOUN
cana-1706	86	14	32	32	NUM
cana-1706	86	15	no	no	NOUN
cana-1706	86	16	.	.	NOUN
cana-1706	86	17	2	2	NUM
cana-1706	86	18	(	(	PUNCT
cana-1706	86	19	2025	2025	NUM
cana-1706	86	20	)	)	PUNCT
cana-1706	86	21	32	32	NUM
cana-1706	86	22	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	86	23	provides	provide	VERB
cana-1706	86	24	a	a	DET
cana-1706	86	25	holistic	holistic	ADJ
cana-1706	86	26	mathematical	mathematical	ADJ
cana-1706	86	27	model	model	NOUN
cana-1706	86	28	that	that	PRON
cana-1706	86	29	synthesize	synthesize	VERB
cana-1706	86	30	these	these	DET
cana-1706	86	31	methods	method	NOUN
cana-1706	86	32	to	to	PART
cana-1706	86	33	enhance	enhance	VERB
cana-1706	86	34	the	the	DET
cana-1706	86	35	iot	iot	NOUN
cana-1706	86	36	security	security	NOUN
cana-1706	86	37	by	by	ADP
cana-1706	86	38	maximizing	maximize	VERB
cana-1706	86	39	detection	detection	NOUN
cana-1706	86	40	accuracy	accuracy	NOUN
cana-1706	86	41	and	and	CCONJ
cana-1706	86	42	minimizing	minimize	VERB
cana-1706	86	43	false	false	ADJ
cana-1706	86	44	alarm	alarm	NOUN
cana-1706	86	45	rate	rate	NOUN
cana-1706	86	46	for	for	ADP
cana-1706	86	47	performing	perform	VERB
cana-1706	86	48	real	real	ADJ
cana-1706	86	49	time	time	NOUN
cana-1706	86	50	threat	threat	NOUN
cana-1706	86	51	detection	detection	NOUN
cana-1706	86	52	and	and	CCONJ
cana-1706	86	53	response	response	NOUN
cana-1706	86	54	.	.	PUNCT
cana-1706	87	1	despite	despite	SCONJ
cana-1706	87	2	a	a	DET
cana-1706	87	3	number	number	NOUN
cana-1706	87	4	of	of	ADP
cana-1706	87	5	challenges	challenge	NOUN
cana-1706	87	6	that	that	PRON
cana-1706	87	7	are	be	AUX
cana-1706	87	8	yet	yet	ADV
cana-1706	87	9	to	to	PART
cana-1706	87	10	be	be	AUX
cana-1706	87	11	addressed	address	VERB
cana-1706	87	12	such	such	ADJ
cana-1706	87	13	as	as	ADP
cana-1706	87	14	scalability	scalability	NOUN
cana-1706	87	15	,	,	PUNCT
cana-1706	87	16	resource	resource	NOUN
cana-1706	87	17	constraints	constraint	NOUN
cana-1706	87	18	and	and	CCONJ
cana-1706	87	19	model	model	NOUN
cana-1706	87	20	interpretability	interpretability	NOUN
cana-1706	87	21	,	,	PUNCT
cana-1706	87	22	the	the	DET
cana-1706	87	23	solution	solution	NOUN
cana-1706	87	24	provides	provide	VERB
cana-1706	87	25	a	a	DET
cana-1706	87	26	promising	promising	ADJ
cana-1706	87	27	new	new	ADJ
cana-1706	87	28	perspective	perspective	NOUN
cana-1706	87	29	on	on	ADP
cana-1706	87	30	how	how	SCONJ
cana-1706	87	31	the	the	DET
cana-1706	87	32	iot	iot	PROPN
cana-1706	87	33	ecosystem	ecosystem	NOUN
cana-1706	87	34	that	that	PRON
cana-1706	87	35	is	be	AUX
cana-1706	87	36	mushrooming	mushroom	VERB
cana-1706	87	37	across	across	ADP
cana-1706	87	38	several	several	ADJ
cana-1706	87	39	industries	industry	NOUN
cana-1706	87	40	can	can	AUX
cana-1706	87	41	be	be	AUX
cana-1706	87	42	secured	secure	VERB
cana-1706	87	43	.	.	PUNCT
cana-1706	88	1	2	2	X
cana-1706	88	2	.	.	X
cana-1706	88	3	related	relate	VERB
cana-1706	88	4	work	work	NOUN
cana-1706	88	5	in	in	ADP
cana-1706	88	6	this	this	DET
cana-1706	88	7	section	section	NOUN
cana-1706	88	8	,	,	PUNCT
cana-1706	88	9	we	we	PRON
cana-1706	88	10	study	study	VERB
cana-1706	88	11	the	the	DET
cana-1706	88	12	related	relate	VERB
cana-1706	88	13	works	work	NOUN
cana-1706	88	14	of	of	ADP
cana-1706	88	15	cybersecurity	cybersecurity	NOUN
cana-1706	88	16	enhancement	enhancement	NOUN
cana-1706	88	17	for	for	ADP
cana-1706	88	18	iot	iot	NOUN
cana-1706	88	19	networks	network	NOUN
cana-1706	88	20	mainly	mainly	ADV
cana-1706	88	21	based	base	VERB
cana-1706	88	22	on	on	ADP
cana-1706	88	23	machine	machine	NOUN
cana-1706	88	24	-	-	PUNCT
cana-1706	88	25	learning	learning	NOUN
cana-1706	88	26	-	-	PUNCT
cana-1706	88	27	based	base	VERB
cana-1706	88	28	anomaly	anomaly	NOUN
cana-1706	88	29	detection	detection	NOUN
cana-1706	88	30	and	and	CCONJ
cana-1706	88	31	optimization	optimization	NOUN
cana-1706	88	32	techniques	technique	NOUN
cana-1706	88	33	.	.	PUNCT
cana-1706	89	1	in	in	ADP
cana-1706	89	2	2023	2023	NUM
cana-1706	89	3	,	,	PUNCT
cana-1706	89	4	several	several	ADJ
cana-1706	89	5	studies	study	NOUN
cana-1706	89	6	focused	focus	VERB
cana-1706	89	7	on	on	ADP
cana-1706	89	8	this	this	DET
cana-1706	89	9	area	area	NOUN
cana-1706	89	10	significantly	significantly	ADV
cana-1706	89	11	improved	improve	VERB
cana-1706	89	12	the	the	DET
cana-1706	89	13	existing	exist	VERB
cana-1706	89	14	approaches	approach	NOUN
cana-1706	89	15	to	to	ADP
cana-1706	89	16	cybersecurity	cybersecurity	NOUN
cana-1706	89	17	and	and	CCONJ
cana-1706	89	18	addressed	address	VERB
cana-1706	89	19	key	key	ADJ
cana-1706	89	20	issues	issue	NOUN
cana-1706	89	21	that	that	PRON
cana-1706	89	22	have	have	AUX
cana-1706	89	23	not	not	PART
cana-1706	89	24	been	be	AUX
cana-1706	89	25	dealt	deal	VERB
cana-1706	89	26	with	with	ADP
cana-1706	89	27	by	by	ADP
cana-1706	89	28	traditional	traditional	ADJ
cana-1706	89	29	security	security	NOUN
cana-1706	89	30	frameworks	framework	NOUN
cana-1706	89	31	in	in	ADP
cana-1706	89	32	iot	iot	PROPN
cana-1706	89	33	environments[10	environments[10	ADV
cana-1706	89	34	]	]	PUNCT
cana-1706	89	35	.	.	PUNCT
cana-1706	90	1	this	this	DET
cana-1706	90	2	section	section	NOUN
cana-1706	90	3	presents	present	VERB
cana-1706	90	4	a	a	DET
cana-1706	90	5	thorough	thorough	ADJ
cana-1706	90	6	review	review	NOUN
cana-1706	90	7	of	of	ADP
cana-1706	90	8	the	the	DET
cana-1706	90	9	existing	exist	VERB
cana-1706	90	10	literature	literature	NOUN
cana-1706	90	11	as	as	ADP
cana-1706	90	12	per	per	ADP
cana-1706	90	13	few	few	ADJ
cana-1706	90	14	major	major	ADJ
cana-1706	90	15	research	research	NOUN
cana-1706	90	16	themes	theme	NOUN
cana-1706	90	17	such	such	ADJ
cana-1706	90	18	as	as	ADP
cana-1706	90	19	machine	machine	NOUN
cana-1706	90	20	learning	learning	NOUN
cana-1706	90	21	,	,	PUNCT
cana-1706	90	22	optimization	optimization	NOUN
cana-1706	90	23	approaches	approach	NOUN
cana-1706	90	24	and	and	CCONJ
cana-1706	90	25	their	their	PRON
cana-1706	90	26	applications	application	NOUN
cana-1706	90	27	in	in	ADP
cana-1706	90	28	ioit	ioit	PROPN
cana-1706	90	29	security	security	NOUN
cana-1706	90	30	anomaly	anomaly	NOUN
cana-1706	90	31	detection	detection	NOUN
cana-1706	90	32	.	.	PUNCT
cana-1706	91	1	the	the	DET
cana-1706	91	2	work	work	NOUN
cana-1706	91	3	of	of	ADP
cana-1706	91	4	xiong	xiong	PROPN
cana-1706	91	5	et	et	PROPN
cana-1706	91	6	al.[21	al.[21	PROPN
cana-1706	91	7	]	]	PUNCT
cana-1706	91	8	summary	summary	NOUN
cana-1706	91	9	:	:	PUNCT
cana-1706	91	10	(	(	PUNCT
cana-1706	91	11	2024	2024	NUM
cana-1706	91	12	)	)	PUNCT
cana-1706	91	13	present	present	VERB
cana-1706	91	14	an	an	DET
cana-1706	91	15	improved	improved	ADJ
cana-1706	91	16	mechanism	mechanism	NOUN
cana-1706	91	17	for	for	ADP
cana-1706	91	18	protecting	protect	VERB
cana-1706	91	19	iot	iot	ADJ
cana-1706	91	20	traffic	traffic	NOUN
cana-1706	91	21	.	.	PUNCT
cana-1706	92	1	the	the	DET
cana-1706	92	2	work	work	NOUN
cana-1706	92	3	is	be	AUX
cana-1706	92	4	in	in	ADP
cana-1706	92	5	the	the	DET
cana-1706	92	6	area	area	NOUN
cana-1706	92	7	of	of	ADP
cana-1706	92	8	deep	deep	ADJ
cana-1706	92	9	learning	learning	NOUN
cana-1706	92	10	,	,	PUNCT
cana-1706	92	11	and	and	CCONJ
cana-1706	92	12	specifically	specifically	ADV
cana-1706	92	13	on	on	ADP
cana-1706	92	14	attention	attention	NOUN
cana-1706	92	15	mechanism	mechanism	NOUN
cana-1706	92	16	within	within	ADP
cana-1706	92	17	transformer	transformer	ADJ
cana-1706	92	18	architecture	architecture	NOUN
cana-1706	92	19	that	that	PRON
cana-1706	92	20	recently	recently	ADV
cana-1706	92	21	has	have	AUX
cana-1706	92	22	been	be	AUX
cana-1706	92	23	so	so	ADV
cana-1706	92	24	successfully	successfully	ADV
cana-1706	92	25	promoting	promote	VERB
cana-1706	92	26	anomaly	anomaly	NOUN
cana-1706	92	27	detection	detection	NOUN
cana-1706	92	28	.	.	PUNCT
cana-1706	93	1	the	the	DET
cana-1706	93	2	writers	writer	NOUN
cana-1706	93	3	make	make	VERB
cana-1706	93	4	the	the	DET
cana-1706	93	5	case	case	NOUN
cana-1706	93	6	that	that	SCONJ
cana-1706	93	7	traditional	traditional	ADJ
cana-1706	93	8	static	static	ADJ
cana-1706	93	9	-	-	PUNCT
cana-1706	93	10	feature	feature	NOUN
cana-1706	93	11	-	-	PUNCT
cana-1706	93	12	based	base	VERB
cana-1706	93	13	anomaly	anomaly	NOUN
cana-1706	93	14	detection	detection	NOUN
cana-1706	93	15	models	model	NOUN
cana-1706	93	16	are	be	AUX
cana-1706	93	17	simply	simply	ADV
cana-1706	93	18	not	not	PART
cana-1706	93	19	able	able	ADJ
cana-1706	93	20	to	to	PART
cana-1706	93	21	keep	keep	VERB
cana-1706	93	22	up	up	ADP
cana-1706	93	23	with	with	ADP
cana-1706	93	24	dynamic	dynamic	ADJ
cana-1706	93	25	environments	environment	NOUN
cana-1706	93	26	like	like	ADP
cana-1706	93	27	iot	iot	NOUN
cana-1706	93	28	.	.	PUNCT
cana-1706	94	1	this	this	DET
cana-1706	94	2	approach	approach	NOUN
cana-1706	94	3	applies	apply	VERB
cana-1706	94	4	eigenvalues	eigenvalue	VERB
cana-1706	94	5	and	and	CCONJ
cana-1706	94	6	eigenvectors	eigenvector	NOUN
cana-1706	94	7	to	to	PART
cana-1706	94	8	tune	tune	VERB
cana-1706	94	9	the	the	DET
cana-1706	94	10	parameters	parameter	NOUN
cana-1706	94	11	of	of	ADP
cana-1706	94	12	the	the	DET
cana-1706	94	13	model	model	NOUN
cana-1706	94	14	logo	logo	NOUN
cana-1706	94	15	,	,	PUNCT
cana-1706	94	16	achieving	achieve	VERB
cana-1706	94	17	faster	fast	ADJ
cana-1706	94	18	threat	threat	NOUN
cana-1706	94	19	detection	detection	NOUN
cana-1706	94	20	,	,	PUNCT
cana-1706	94	21	and	and	CCONJ
cana-1706	94	22	lower	low	ADJ
cana-1706	94	23	false	false	ADJ
cana-1706	94	24	positives	positive	NOUN
cana-1706	94	25	.	.	PUNCT
cana-1706	95	1	the	the	DET
cana-1706	95	2	research	research	NOUN
cana-1706	95	3	shed	shed	VERB
cana-1706	95	4	a	a	DET
cana-1706	95	5	light	light	NOUN
cana-1706	95	6	on	on	ADP
cana-1706	95	7	the	the	DET
cana-1706	95	8	need	need	NOUN
cana-1706	95	9	for	for	ADP
cana-1706	95	10	real	real	ADJ
cana-1706	95	11	-	-	PUNCT
cana-1706	95	12	time	time	NOUN
cana-1706	95	13	optimization	optimization	NOUN
cana-1706	95	14	,	,	PUNCT
cana-1706	95	15	making	make	VERB
cana-1706	95	16	the	the	DET
cana-1706	95	17	security	security	NOUN
cana-1706	95	18	model	model	NOUN
cana-1706	95	19	scalable	scalable	ADJ
cana-1706	95	20	and	and	CCONJ
cana-1706	95	21	fast	fast	ADJ
cana-1706	95	22	.	.	PUNCT
cana-1706	96	1	although	although	SCONJ
cana-1706	96	2	their	their	PRON
cana-1706	96	3	model	model	NOUN
cana-1706	96	4	shows	show	VERB
cana-1706	96	5	good	good	ADJ
cana-1706	96	6	results	result	NOUN
cana-1706	96	7	,	,	PUNCT
cana-1706	96	8	they	they	PRON
cana-1706	96	9	know	know	VERB
cana-1706	96	10	that	that	SCONJ
cana-1706	96	11	computational	computational	ADJ
cana-1706	96	12	overhead	overhead	NOUN
cana-1706	96	13	still	still	ADV
cana-1706	96	14	exists	exist	VERB
cana-1706	96	15	as	as	ADP
cana-1706	96	16	a	a	DET
cana-1706	96	17	major	major	ADJ
cana-1706	96	18	challenge	challenge	NOUN
cana-1706	96	19	in	in	ADP
cana-1706	96	20	resource	resource	NOUN
cana-1706	96	21	-	-	PUNCT
cana-1706	96	22	constrained	constrain	VERB
cana-1706	96	23	environments	environment	NOUN
cana-1706	96	24	such	such	ADJ
cana-1706	96	25	as	as	ADP
cana-1706	96	26	iot	iot	ADJ
cana-1706	96	27	networks	network	NOUN
cana-1706	96	28	.	.	PUNCT
cana-1706	97	1	a	a	DET
cana-1706	97	2	cornerstone	cornerstone	NOUN
cana-1706	97	3	in	in	ADP
cana-1706	97	4	the	the	DET
cana-1706	97	5	feasting	feasting	NOUN
cana-1706	97	6	storyline	storyline	NOUN
cana-1706	97	7	of	of	ADP
cana-1706	97	8	machine	machine	NOUN
cana-1706	97	9	learning	learning	NOUN
cana-1706	97	10	as	as	SCONJ
cana-1706	97	11	applied	apply	VERB
cana-1706	97	12	to	to	ADP
cana-1706	97	13	safety	safety	NOUN
cana-1706	97	14	issues	issue	NOUN
cana-1706	97	15	in	in	ADP
cana-1706	97	16	iot	iot	PROPN
cana-1706	97	17	.	.	PROPN
cana-1706	97	18	zeyneb	zeyneb	PROPN
cana-1706	97	19	et	et	PROPN
cana-1706	97	20	al	al	PROPN
cana-1706	97	21	.	.	PROPN
cana-1706	97	22	conducted	conduct	VERB
cana-1706	97	23	another	another	DET
cana-1706	97	24	study	study	NOUN
cana-1706	97	25	[	[	X
cana-1706	97	26	15	15	NUM
cana-1706	97	27	]	]	X
cana-1706	97	28	(	(	PUNCT
cana-1706	97	29	2023	2023	NUM
cana-1706	97	30	)	)	PUNCT
cana-1706	97	31	applied	apply	VERB
cana-1706	97	32	unsupervised	unsupervised	ADJ
cana-1706	97	33	learning	learning	NOUN
cana-1706	97	34	methods	method	NOUN
cana-1706	97	35	to	to	PART
cana-1706	97	36	identify	identify	VERB
cana-1706	97	37	the	the	DET
cana-1706	97	38	anomalies	anomaly	NOUN
cana-1706	97	39	occurring	occur	VERB
cana-1706	97	40	in	in	ADP
cana-1706	97	41	iot	iot	PROPN
cana-1706	97	42	networks	network	NOUN
cana-1706	97	43	.	.	PUNCT
cana-1706	98	1	their	their	PRON
cana-1706	98	2	strategy	strategy	NOUN
cana-1706	98	3	utilized	utilize	VERB
cana-1706	98	4	k	k	X
cana-1706	98	5	-	-	PUNCT
cana-1706	98	6	means	means	NOUN
cana-1706	98	7	and	and	CCONJ
cana-1706	98	8	dbscan	dbscan	VERB
cana-1706	98	9	clustering	cluster	VERB
cana-1706	98	10	algorithms	algorithm	NOUN
cana-1706	98	11	to	to	PART
cana-1706	98	12	differentiate	differentiate	VERB
cana-1706	98	13	between	between	ADP
cana-1706	98	14	normal	normal	ADJ
cana-1706	98	15	and	and	CCONJ
cana-1706	98	16	abnormal	abnormal	ADJ
cana-1706	98	17	behaviour	behaviour	NOUN
cana-1706	98	18	.	.	PUNCT
cana-1706	99	1	again	again	ADV
cana-1706	99	2	,	,	PUNCT
cana-1706	99	3	clustering	clustering	NOUN
cana-1706	99	4	models	model	NOUN
cana-1706	99	5	are	be	AUX
cana-1706	99	6	helpful	helpful	ADJ
cana-1706	99	7	for	for	ADP
cana-1706	99	8	bootstrapping	bootstrappe	VERB
cana-1706	99	9	labelling	labelling	NOUN
cana-1706	99	10	when	when	SCONJ
cana-1706	99	11	data	datum	NOUN
cana-1706	99	12	is	be	AUX
cana-1706	99	13	sparse	sparse	ADJ
cana-1706	99	14	,	,	PUNCT
cana-1706	99	15	but	but	CCONJ
cana-1706	99	16	they	they	PRON
cana-1706	99	17	usually	usually	ADV
cana-1706	99	18	can	can	AUX
cana-1706	99	19	not	not	PART
cana-1706	99	20	serve	serve	VERB
cana-1706	99	21	real	real	ADJ
cana-1706	99	22	time	time	NOUN
cana-1706	99	23	security	security	NOUN
cana-1706	99	24	needs	need	NOUN
cana-1706	99	25	.	.	PUNCT
cana-1706	100	1	the	the	DET
cana-1706	100	2	paper	paper	NOUN
cana-1706	100	3	also	also	ADV
cana-1706	100	4	discussed	discuss	VERB
cana-1706	100	5	the	the	DET
cana-1706	100	6	heterogeneous	heterogeneous	ADJ
cana-1706	100	7	nature	nature	NOUN
cana-1706	100	8	of	of	ADP
cana-1706	100	9	iot	iot	NOUN
cana-1706	100	10	networks	network	NOUN
cana-1706	100	11	and	and	CCONJ
cana-1706	100	12	how	how	SCONJ
cana-1706	100	13	it	it	PRON
cana-1706	100	14	is	be	AUX
cana-1706	100	15	challenging	challenge	VERB
cana-1706	100	16	to	to	PART
cana-1706	100	17	identify	identify	VERB
cana-1706	100	18	between	between	ADP
cana-1706	100	19	benign	benign	ADJ
cana-1706	100	20	and	and	CCONJ
cana-1706	100	21	malicious	malicious	ADJ
cana-1706	100	22	traffic	traffic	NOUN
cana-1706	100	23	.	.	PUNCT
cana-1706	101	1	we	we	PRON
cana-1706	101	2	combine	combine	VERB
cana-1706	101	3	anomaly	anomaly	NOUN
cana-1706	101	4	detection	detection	NOUN
cana-1706	101	5	with	with	ADP
cana-1706	101	6	optimization	optimization	NOUN
cana-1706	101	7	and	and	CCONJ
cana-1706	101	8	simulate	simulate	VERB
cana-1706	101	9	annealing	annealing	NOUN
cana-1706	101	10	is	be	AUX
cana-1706	101	11	applied	apply	VERB
cana-1706	101	12	,	,	PUNCT
cana-1706	101	13	increasing	increase	VERB
cana-1706	101	14	both	both	CCONJ
cana-1706	101	15	accuracy	accuracy	NOUN
cana-1706	101	16	and	and	CCONJ
cana-1706	101	17	computation	computation	NOUN
cana-1706	101	18	time	time	NOUN
cana-1706	101	19	.	.	PUNCT
cana-1706	102	1	but	but	CCONJ
cana-1706	102	2	a	a	DET
cana-1706	102	3	more	more	ADV
cana-1706	102	4	pressing	press	VERB
cana-1706	102	5	concern	concern	NOUN
cana-1706	102	6	is	be	AUX
cana-1706	102	7	whether	whether	SCONJ
cana-1706	102	8	the	the	DET
cana-1706	102	9	model	model	NOUN
cana-1706	102	10	can	can	AUX
cana-1706	102	11	learn	learn	VERB
cana-1706	102	12	and	and	CCONJ
cana-1706	102	13	re	re	VERB
cana-1706	102	14	-	-	VERB
cana-1706	102	15	learn	learn	VERB
cana-1706	102	16	its	its	PRON
cana-1706	102	17	network	network	NOUN
cana-1706	102	18	with	with	ADP
cana-1706	102	19	new	new	ADJ
cana-1706	102	20	networks	network	NOUN
cana-1706	102	21	providing	provide	VERB
cana-1706	102	22	realtime	realtime	NOUN
cana-1706	102	23	data	datum	NOUN
cana-1706	102	24	every	every	DET
cana-1706	102	25	day	day	NOUN
cana-1706	102	26	,	,	PUNCT
cana-1706	102	27	or	or	CCONJ
cana-1706	102	28	even	even	ADV
cana-1706	102	29	several	several	ADJ
cana-1706	102	30	times	time	NOUN
cana-1706	102	31	in	in	ADP
cana-1706	102	32	an	an	DET
cana-1706	102	33	hour	hour	NOUN
cana-1706	102	34	when	when	SCONJ
cana-1706	102	35	new	new	ADJ
cana-1706	102	36	devices	device	NOUN
cana-1706	102	37	are	be	AUX
cana-1706	102	38	added	add	VERB
cana-1706	102	39	.	.	PUNCT
cana-1706	103	1	the	the	DET
cana-1706	103	2	solution	solution	NOUN
cana-1706	103	3	they	they	PRON
cana-1706	103	4	designed	design	VERB
cana-1706	103	5	performed	perform	VERB
cana-1706	103	6	well	well	ADV
cana-1706	103	7	in	in	ADP
cana-1706	103	8	simulated	simulated	ADJ
cana-1706	103	9	environments	environment	NOUN
cana-1706	103	10	while	while	SCONJ
cana-1706	103	11	the	the	DET
cana-1706	103	12	issue	issue	NOUN
cana-1706	103	13	with	with	ADP
cana-1706	103	14	scalability	scalability	NOUN
cana-1706	103	15	is	be	AUX
cana-1706	103	16	an	an	DET
cana-1706	103	17	important	important	ADJ
cana-1706	103	18	area	area	NOUN
cana-1706	103	19	remains	remain	VERB
cana-1706	103	20	as	as	ADP
cana-1706	103	21	a	a	DET
cana-1706	103	22	future	future	ADJ
cana-1706	103	23	work	work	NOUN
cana-1706	103	24	.	.	PUNCT
cana-1706	104	1	source	source	NOUN
cana-1706	104	2	objective	objective	ADJ
cana-1706	104	3	methodology	methodology	NOUN
cana-1706	104	4	results	result	VERB
cana-1706	104	5	research	research	NOUN
cana-1706	104	6	gap	gap	NOUN
cana-1706	104	7	[	[	X
cana-1706	104	8	11	11	NUM
cana-1706	104	9	]	]	X
cana-1706	104	10	●	●	NUM
cana-1706	104	11	compare	compare	NOUN
cana-1706	104	12	ml	ml	NOUN
cana-1706	104	13	models	model	NOUN
cana-1706	104	14	(	(	PUNCT
cana-1706	104	15	svm	svm	ADJ
cana-1706	104	16	,	,	PUNCT
cana-1706	104	17	random	random	ADJ
cana-1706	104	18	forest	forest	NOUN
cana-1706	104	19	,	,	PUNCT
cana-1706	104	20	logistic	logistic	ADJ
cana-1706	104	21	●	●	NUM
cana-1706	104	22	svm	svm	ADJ
cana-1706	104	23	,	,	PUNCT
cana-1706	104	24	random	random	ADJ
cana-1706	104	25	forest	forest	NOUN
cana-1706	104	26	,	,	PUNCT
cana-1706	104	27	logistic	logistic	ADJ
cana-1706	104	28	regression	regression	NOUN
cana-1706	104	29	compared	compare	VERB
cana-1706	104	30	for	for	ADP
cana-1706	104	31	recall	recall	NOUN
cana-1706	104	32	metrics	metric	NOUN
cana-1706	104	33	.	.	PUNCT
cana-1706	105	1	●	●	PUNCT
cana-1706	105	2	svm	svm	PROPN
cana-1706	105	3	achieves	achieve	VERB
cana-1706	105	4	highest	high	ADJ
cana-1706	105	5	recall	recall	NOUN
cana-1706	105	6	performance	performance	NOUN
cana-1706	105	7	in	in	ADP
cana-1706	105	8	iot	iot	ADJ
cana-1706	105	9	security	security	NOUN
cana-1706	105	10	.	.	PUNCT
cana-1706	106	1	●	●	PUNCT
cana-1706	106	2	lack	lack	NOUN
cana-1706	106	3	of	of	ADP
cana-1706	106	4	studies	study	NOUN
cana-1706	106	5	on	on	ADP
cana-1706	106	6	optimal	optimal	ADJ
cana-1706	106	7	iot	iot	PROPN
cana-1706	106	8	anomaly	anomaly	NOUN
cana-1706	106	9	detection	detection	NOUN
cana-1706	106	10	models	model	NOUN
cana-1706	106	11	.	.	PUNCT
cana-1706	107	1	communications	communication	NOUN
cana-1706	107	2	on	on	ADP
cana-1706	107	3	applied	apply	VERB
cana-1706	107	4	nonlinear	nonlinear	ADJ
cana-1706	107	5	analysis	analysis	NOUN
cana-1706	107	6	issn	issn	NOUN
cana-1706	107	7	:	:	PUNCT
cana-1706	107	8	1074	1074	NUM
cana-1706	107	9	-	-	PUNCT
cana-1706	107	10	133x	133x	NUM
cana-1706	107	11	vol	vol	NOUN
cana-1706	107	12	32	32	NUM
cana-1706	107	13	no	no	NOUN
cana-1706	107	14	.	.	NOUN
cana-1706	107	15	2	2	NUM
cana-1706	107	16	(	(	PUNCT
cana-1706	107	17	2025	2025	NUM
cana-1706	107	18	)	)	PUNCT
cana-1706	107	19	33	33	NUM
cana-1706	107	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	107	21	regression	regression	NOUN
cana-1706	107	22	)	)	PUNCT
cana-1706	107	23	for	for	ADP
cana-1706	107	24	iot	iot	ADJ
cana-1706	107	25	security	security	NOUN
cana-1706	107	26	.	.	PUNCT
cana-1706	108	1	●	●	PUNCT
cana-1706	108	2	recommend	recommend	VERB
cana-1706	108	3	svm	svm	NOUN
cana-1706	108	4	for	for	ADP
cana-1706	108	5	future	future	ADJ
cana-1706	108	6	iot	iot	PROPN
cana-1706	108	7	security	security	NOUN
cana-1706	108	8	applications	application	NOUN
cana-1706	108	9	based	base	VERB
cana-1706	108	10	on	on	ADP
cana-1706	108	11	recall	recall	NOUN
cana-1706	108	12	.	.	PUNCT
cana-1706	109	1	●	●	PUNCT
cana-1706	109	2	svm	svm	PROPN
cana-1706	109	3	found	find	VERB
cana-1706	109	4	to	to	PART
cana-1706	109	5	achieve	achieve	VERB
cana-1706	109	6	highest	high	ADJ
cana-1706	109	7	recall	recall	NOUN
cana-1706	109	8	performance	performance	NOUN
cana-1706	109	9	in	in	ADP
cana-1706	109	10	iot	iot	ADJ
cana-1706	109	11	security	security	NOUN
cana-1706	109	12	.	.	PUNCT
cana-1706	110	1	●	●	PUNCT
cana-1706	110	2	svm	svm	PROPN
cana-1706	110	3	recommended	recommend	VERB
cana-1706	110	4	for	for	ADP
cana-1706	110	5	future	future	ADJ
cana-1706	110	6	iot	iot	ADJ
cana-1706	110	7	security	security	NOUN
cana-1706	110	8	applications	application	NOUN
cana-1706	110	9	.	.	PUNCT
cana-1706	111	1	●	●	PUNCT
cana-1706	111	2	need	need	NOUN
cana-1706	111	3	for	for	ADP
cana-1706	111	4	evaluation	evaluation	NOUN
cana-1706	111	5	across	across	ADP
cana-1706	111	6	diverse	diverse	ADJ
cana-1706	111	7	iot	iot	NOUN
cana-1706	111	8	applications	application	NOUN
cana-1706	111	9	and	and	CCONJ
cana-1706	111	10	environments	environment	NOUN
cana-1706	111	11	.	.	PUNCT
cana-1706	112	1	[	[	X
cana-1706	112	2	12	12	NUM
cana-1706	112	3	]	]	X
cana-1706	112	4	●	●	PUNCT
cana-1706	112	5	evaluate	evaluate	VERB
cana-1706	112	6	ml	ml	NOUN
cana-1706	112	7	models	model	NOUN
cana-1706	112	8	for	for	ADP
cana-1706	112	9	iot	iot	PROPN
cana-1706	112	10	anomaly	anomaly	PROPN
cana-1706	112	11	detection	detection	NOUN
cana-1706	112	12	.	.	PUNCT
cana-1706	113	1	●	●	PUNCT
cana-1706	113	2	identify	identify	VERB
cana-1706	113	3	optimal	optimal	ADJ
cana-1706	113	4	anomaly	anomaly	NOUN
cana-1706	113	5	detection	detection	NOUN
cana-1706	113	6	models	model	NOUN
cana-1706	113	7	for	for	ADP
cana-1706	113	8	iot	iot	NOUN
cana-1706	113	9	networks	network	NOUN
cana-1706	113	10	.	.	PUNCT
cana-1706	114	1	●	●	PUNCT
cana-1706	114	2	xgboost	xgboost	ADJ
cana-1706	114	3	,	,	PUNCT
cana-1706	114	4	svm	svm	PROPN
cana-1706	114	5	,	,	PUNCT
cana-1706	114	6	dcnn	dcnn	PROPN
cana-1706	114	7	used	use	VERB
cana-1706	114	8	for	for	ADP
cana-1706	114	9	anomaly	anomaly	NOUN
cana-1706	114	10	detection	detection	NOUN
cana-1706	114	11	in	in	ADP
cana-1706	114	12	iot	iot	NOUN
cana-1706	114	13	.	.	PUNCT
cana-1706	115	1	●	●	PUNCT
cana-1706	115	2	xgboost	xgboost	NOUN
cana-1706	115	3	outperformed	outperform	VERB
cana-1706	115	4	svm	svm	PROPN
cana-1706	115	5	and	and	CCONJ
cana-1706	115	6	dcnn	dcnn	VERB
cana-1706	115	7	with	with	ADP
cana-1706	115	8	high	high	ADJ
cana-1706	115	9	accuracy	accuracy	NOUN
cana-1706	115	10	.	.	PUNCT
cana-1706	116	1	●	●	PUNCT
cana-1706	116	2	xgboost	xgboost	NOUN
cana-1706	116	3	outperformed	outperform	VERB
cana-1706	116	4	svm	svm	PROPN
cana-1706	116	5	and	and	CCONJ
cana-1706	116	6	dcnn	dcnn	VERB
cana-1706	116	7	with	with	ADP
cana-1706	116	8	up	up	ADP
cana-1706	116	9	to	to	PART
cana-1706	116	10	99.98	99.98	NUM
cana-1706	116	11	%	%	NOUN
cana-1706	116	12	accuracy	accuracy	NOUN
cana-1706	116	13	.	.	PUNCT
cana-1706	117	1	●	●	PUNCT
cana-1706	117	2	xgboost	xgboost	PRON
cana-1706	117	3	was	be	AUX
cana-1706	117	4	717.75	717.75	NUM
cana-1706	117	5	times	time	NOUN
cana-1706	117	6	faster	fast	ADV
cana-1706	117	7	than	than	SCONJ
cana-1706	117	8	svm	svm	VERB
cana-1706	117	9	in	in	ADP
cana-1706	117	10	training	training	NOUN
cana-1706	117	11	times	time	NOUN
cana-1706	117	12	.	.	PUNCT
cana-1706	118	1	●	●	PUNCT
cana-1706	118	2	sensitivity	sensitivity	NOUN
cana-1706	118	3	of	of	ADP
cana-1706	118	4	machine	machine	NOUN
cana-1706	118	5	learning	learning	NOUN
cana-1706	118	6	models	model	NOUN
cana-1706	118	7	to	to	ADP
cana-1706	118	8	hyperparameters	hyperparameter	NOUN
cana-1706	118	9	.	.	PUNCT
cana-1706	119	1	●	●	PUNCT
cana-1706	119	2	enhancing	enhance	VERB
cana-1706	119	3	predictive	predictive	ADJ
cana-1706	119	4	accuracy	accuracy	NOUN
cana-1706	119	5	in	in	ADP
cana-1706	119	6	heterogeneous	heterogeneous	ADJ
cana-1706	119	7	datasets	dataset	NOUN
cana-1706	119	8	using	use	VERB
cana-1706	119	9	ensemble	ensemble	ADJ
cana-1706	119	10	learning	learning	NOUN
cana-1706	119	11	.	.	PUNCT
cana-1706	120	1	[	[	X
cana-1706	120	2	13	13	NUM
cana-1706	120	3	]	]	SYM
cana-1706	120	4	●	●	PUNCT
cana-1706	120	5	enhance	enhance	ADV
cana-1706	120	6	ensemble	ensemble	ADJ
cana-1706	120	7	ml	ml	NOUN
cana-1706	120	8	model	model	NOUN
cana-1706	120	9	in	in	ADP
cana-1706	120	10	cybersecurity	cybersecurity	NOUN
cana-1706	120	11	.	.	PUNCT
cana-1706	121	1	●	●	PUNCT
cana-1706	121	2	investigate	investigate	VERB
cana-1706	121	3	hyperparameter	hyperparameter	NOUN
cana-1706	121	4	sensitivity	sensitivity	NOUN
cana-1706	121	5	for	for	ADP
cana-1706	121	6	predictive	predictive	ADJ
cana-1706	121	7	performance	performance	NOUN
cana-1706	121	8	.	.	PUNCT
cana-1706	122	1	●	●	PUNCT
cana-1706	122	2	bayesian	bayesian	NOUN
cana-1706	122	3	hyperparameter	hyperparameter	NOUN
cana-1706	122	4	optimisation	optimisation	NOUN
cana-1706	122	5	●	●	PUNCT
cana-1706	122	6	ensemble	ensemble	ADJ
cana-1706	122	7	machine	machine	NOUN
cana-1706	122	8	learning	learn	VERB
cana-1706	122	9	for	for	ADP
cana-1706	122	10	anomaly	anomaly	NOUN
cana-1706	122	11	detection	detection	NOUN
cana-1706	122	12	●	●	NUM
cana-1706	122	13	ensemble	ensemble	ADJ
cana-1706	122	14	models	model	NOUN
cana-1706	122	15	outperform	outperform	VERB
cana-1706	122	16	traditional	traditional	ADJ
cana-1706	122	17	models	model	NOUN
cana-1706	122	18	in	in	ADP
cana-1706	122	19	iot	iot	PROPN
cana-1706	122	20	anomaly	anomaly	NOUN
cana-1706	122	21	scenarios	scenario	NOUN
cana-1706	122	22	.	.	PUNCT
cana-1706	123	1	●	●	PUNCT
cana-1706	123	2	xgb	xgb	NOUN
cana-1706	123	3	achieves	achieve	VERB
cana-1706	123	4	superior	superior	ADJ
cana-1706	123	5	results	result	NOUN
cana-1706	123	6	due	due	ADP
cana-1706	123	7	to	to	ADP
cana-1706	123	8	multiple	multiple	ADJ
cana-1706	123	9	decision	decision	NOUN
cana-1706	123	10	trees	tree	NOUN
cana-1706	123	11	.	.	PUNCT
cana-1706	124	1	●	●	PUNCT
cana-1706	124	2	explore	explore	VERB
cana-1706	124	3	diverse	diverse	ADJ
cana-1706	124	4	iot	iot	ADJ
cana-1706	124	5	traffic	traffic	NOUN
cana-1706	124	6	data	datum	NOUN
cana-1706	124	7	for	for	ADP
cana-1706	124	8	validation	validation	NOUN
cana-1706	124	9	.	.	PUNCT
cana-1706	125	1	●	●	PUNCT
cana-1706	125	2	optimize	optimize	NOUN
cana-1706	125	3	model	model	NOUN
cana-1706	125	4	structures	structure	NOUN
cana-1706	125	5	and	and	CCONJ
cana-1706	125	6	parameters	parameter	NOUN
cana-1706	125	7	for	for	ADP
cana-1706	125	8	improved	improved	ADJ
cana-1706	125	9	performance	performance	NOUN
cana-1706	125	10	.	.	PUNCT
cana-1706	126	1	[	[	X
cana-1706	126	2	14	14	NUM
cana-1706	126	3	]	]	X
cana-1706	126	4	●	●	PUNCT
cana-1706	126	5	enhancing	enhance	VERB
cana-1706	126	6	network	network	NOUN
cana-1706	126	7	anomaly	anomaly	PROPN
cana-1706	126	8	intrusion	intrusion	NOUN
cana-1706	126	9	detection	detection	NOUN
cana-1706	126	10	systems	system	NOUN
cana-1706	126	11	●	●	NOUN
cana-1706	126	12	utilizing	utilize	VERB
cana-1706	126	13	iot	iot	ADJ
cana-1706	126	14	data	datum	NOUN
cana-1706	126	15	for	for	ADP
cana-1706	126	16	anomaly	anomaly	NOUN
cana-1706	126	17	detection	detection	NOUN
cana-1706	126	18	in	in	ADP
cana-1706	126	19	networks	network	NOUN
cana-1706	126	20	●	●	NUM
cana-1706	126	21	pcoa	pcoa	NOUN
cana-1706	126	22	for	for	ADP
cana-1706	126	23	feature	feature	NOUN
cana-1706	126	24	selection	selection	NOUN
cana-1706	126	25	inspired	inspire	VERB
cana-1706	126	26	by	by	ADP
cana-1706	126	27	pine	pine	ADJ
cana-1706	126	28	trees	tree	NOUN
cana-1706	126	29	.	.	PUNCT
cana-1706	127	1	●	●	NUM
cana-1706	127	2	boa	boa	NOUN
cana-1706	127	3	for	for	ADP
cana-1706	127	4	hyperparameter	hyperparameter	NOUN
cana-1706	127	5	tuning	tune	VERB
cana-1706	127	6	mimicking	mimic	VERB
cana-1706	127	7	botox	botox	NOUN
cana-1706	127	8	in	in	ADP
cana-1706	127	9	human	human	ADJ
cana-1706	127	10	anatomy	anatomy	NOUN
cana-1706	127	11	.	.	PUNCT
cana-1706	128	1	●	●	PUNCT
cana-1706	128	2	maximum	maximum	ADJ
cana-1706	128	3	accuracy	accuracy	NOUN
cana-1706	128	4	achieved	achieve	VERB
cana-1706	128	5	:	:	PUNCT
cana-1706	128	6	99.45	99.45	NUM
cana-1706	128	7	%	%	NOUN
cana-1706	128	8	●	●	NUM
cana-1706	128	9	proposed	propose	VERB
cana-1706	128	10	methodologies	methodology	NOUN
cana-1706	128	11	effective	effective	ADJ
cana-1706	128	12	in	in	ADP
cana-1706	128	13	enhancing	enhance	VERB
cana-1706	128	14	intrusion	intrusion	NOUN
cana-1706	128	15	detection	detection	NOUN
cana-1706	128	16	systems	system	NOUN
cana-1706	128	17	.	.	PUNCT
cana-1706	129	1	●	●	PUNCT
cana-1706	129	2	novel	novel	ADJ
cana-1706	129	3	approach	approach	NOUN
cana-1706	129	4	for	for	ADP
cana-1706	129	5	iot	iot	NOUN
cana-1706	129	6	cybersecurity	cybersecurity	NOUN
cana-1706	129	7	using	use	VERB
cana-1706	129	8	unsupervised	unsupervised	ADJ
cana-1706	129	9	learning	learning	NOUN
cana-1706	129	10	methods	method	NOUN
cana-1706	129	11	.	.	PUNCT
cana-1706	130	1	●	●	NUM
cana-1706	130	2	addresses	address	NOUN
cana-1706	130	3	imbalanced	imbalanced	ADJ
cana-1706	130	4	training	training	NOUN
cana-1706	130	5	data	datum	NOUN
cana-1706	130	6	impact	impact	NOUN
cana-1706	130	7	on	on	ADP
cana-1706	130	8	model	model	NOUN
cana-1706	130	9	performance	performance	NOUN
cana-1706	130	10	.	.	PUNCT
cana-1706	131	1	communications	communication	NOUN
cana-1706	131	2	on	on	ADP
cana-1706	131	3	applied	apply	VERB
cana-1706	131	4	nonlinear	nonlinear	ADJ
cana-1706	131	5	analysis	analysis	NOUN
cana-1706	131	6	issn	issn	NOUN
cana-1706	131	7	:	:	PUNCT
cana-1706	131	8	1074	1074	NUM
cana-1706	131	9	-	-	PUNCT
cana-1706	131	10	133x	133x	NUM
cana-1706	131	11	vol	vol	NOUN
cana-1706	131	12	32	32	NUM
cana-1706	131	13	no	no	NOUN
cana-1706	131	14	.	.	NOUN
cana-1706	131	15	2	2	NUM
cana-1706	131	16	(	(	PUNCT
cana-1706	131	17	2025	2025	NUM
cana-1706	131	18	)	)	PUNCT
cana-1706	131	19	34	34	NUM
cana-1706	131	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	132	1	[	[	X
cana-1706	132	2	15	15	NUM
cana-1706	132	3	]	]	X
cana-1706	132	4	●	●	PUNCT
cana-1706	132	5	develop	develop	VERB
cana-1706	132	6	intrusion	intrusion	NOUN
cana-1706	132	7	detection	detection	NOUN
cana-1706	132	8	system	system	NOUN
cana-1706	132	9	for	for	ADP
cana-1706	132	10	iot	iot	NOUN
cana-1706	132	11	attacks	attack	NOUN
cana-1706	132	12	.	.	PUNCT
cana-1706	133	1	●	●	PUNCT
cana-1706	133	2	evaluate	evaluate	VERB
cana-1706	133	3	machine	machine	NOUN
cana-1706	133	4	learning	learn	VERB
cana-1706	133	5	classifiers	classifier	NOUN
cana-1706	133	6	for	for	ADP
cana-1706	133	7	attack	attack	NOUN
cana-1706	133	8	prediction	prediction	NOUN
cana-1706	133	9	accuracy	accuracy	NOUN
cana-1706	133	10	.	.	PUNCT
cana-1706	134	1	●	●	NUM
cana-1706	134	2	machine	machine	NOUN
cana-1706	134	3	learning	learning	NOUN
cana-1706	134	4	and	and	CCONJ
cana-1706	134	5	deep	deep	ADJ
cana-1706	134	6	learning	learning	NOUN
cana-1706	134	7	techniques	technique	NOUN
cana-1706	134	8	●	●	NUM
cana-1706	134	9	random	random	ADJ
cana-1706	134	10	forest	forest	NOUN
cana-1706	134	11	,	,	PUNCT
cana-1706	134	12	artificial	artificial	ADJ
cana-1706	134	13	neural	neural	ADJ
cana-1706	134	14	network	network	NOUN
cana-1706	134	15	,	,	PUNCT
cana-1706	134	16	logistic	logistic	ADJ
cana-1706	134	17	regression	regression	NOUN
cana-1706	134	18	,	,	PUNCT
cana-1706	134	19	support	support	NOUN
cana-1706	134	20	vector	vector	NOUN
cana-1706	134	21	machine	machine	NOUN
cana-1706	134	22	●	●	PUNCT
cana-1706	134	23	rf	rf	NOUN
cana-1706	134	24	classifier	classifier	NOUN
cana-1706	134	25	:	:	PUNCT
cana-1706	134	26	99.9	99.9	NUM
cana-1706	134	27	%	%	NOUN
cana-1706	134	28	accuracy	accuracy	NOUN
cana-1706	134	29	●	●	X
cana-1706	134	30	ann	ann	PROPN
cana-1706	134	31	classifier	classifier	NOUN
cana-1706	134	32	:	:	PUNCT
cana-1706	134	33	99.8	99.8	NUM
cana-1706	134	34	%	%	NOUN
cana-1706	134	35	accuracy	accuracy	NOUN
cana-1706	134	36	●	●	PUNCT
cana-1706	134	37	explore	explore	NOUN
cana-1706	134	38	diverse	diverse	ADJ
cana-1706	134	39	iot	iot	ADJ
cana-1706	134	40	traffic	traffic	NOUN
cana-1706	134	41	data	datum	NOUN
cana-1706	134	42	for	for	ADP
cana-1706	134	43	validation	validation	NOUN
cana-1706	134	44	.	.	PUNCT
cana-1706	135	1	●	●	PUNCT
cana-1706	135	2	further	further	ADJ
cana-1706	135	3	optimize	optimize	VERB
cana-1706	135	4	model	model	NOUN
cana-1706	135	5	structures	structure	NOUN
cana-1706	135	6	and	and	CCONJ
cana-1706	135	7	parameters	parameter	NOUN
cana-1706	135	8	for	for	ADP
cana-1706	135	9	improved	improved	ADJ
cana-1706	135	10	performance	performance	NOUN
cana-1706	135	11	.	.	PUNCT
cana-1706	136	1	[	[	X
cana-1706	136	2	16	16	NUM
cana-1706	136	3	]	]	SYM
cana-1706	136	4	●	●	PUNCT
cana-1706	136	5	enhance	enhance	VERB
cana-1706	136	6	iot	iot	ADJ
cana-1706	136	7	security	security	NOUN
cana-1706	136	8	threat	threat	NOUN
cana-1706	136	9	detection	detection	NOUN
cana-1706	136	10	using	use	VERB
cana-1706	136	11	cnn	cnn	PROPN
cana-1706	136	12	and	and	CCONJ
cana-1706	136	13	vae	vae	PROPN
cana-1706	136	14	models	model	NOUN
cana-1706	136	15	.	.	PUNCT
cana-1706	137	1	●	●	PUNCT
cana-1706	137	2	optimize	optimize	NOUN
cana-1706	137	3	model	model	NOUN
cana-1706	137	4	training	training	NOUN
cana-1706	137	5	and	and	CCONJ
cana-1706	137	6	testing	testing	NOUN
cana-1706	137	7	processes	process	NOUN
cana-1706	137	8	for	for	ADP
cana-1706	137	9	robust	robust	ADJ
cana-1706	137	10	performance	performance	NOUN
cana-1706	137	11	.	.	PUNCT
cana-1706	138	1	●	●	PUNCT
cana-1706	138	2	cnn	cnn	PROPN
cana-1706	138	3	for	for	ADP
cana-1706	138	4	iot	iot	PROPN
cana-1706	138	5	traffic	traffic	NOUN
cana-1706	138	6	classification	classification	NOUN
cana-1706	138	7	with	with	ADP
cana-1706	138	8	95.85	95.85	NUM
cana-1706	138	9	%	%	NOUN
cana-1706	138	10	accuracy	accuracy	NOUN
cana-1706	138	11	rate	rate	NOUN
cana-1706	138	12	.	.	PUNCT
cana-1706	139	1	●	●	PUNCT
cana-1706	139	2	vae	vae	NOUN
cana-1706	139	3	for	for	ADP
cana-1706	139	4	anomaly	anomaly	NOUN
cana-1706	139	5	detection	detection	NOUN
cana-1706	139	6	capturing	capture	VERB
cana-1706	139	7	abnormal	abnormal	ADJ
cana-1706	139	8	patterns	pattern	NOUN
cana-1706	139	9	effectively	effectively	ADV
cana-1706	139	10	.	.	PUNCT
cana-1706	140	1	●	●	PUNCT
cana-1706	140	2	cnn	cnn	PROPN
cana-1706	140	3	achieved	achieve	VERB
cana-1706	140	4	95.85	95.85	NUM
cana-1706	140	5	%	%	NOUN
cana-1706	140	6	accuracy	accuracy	NOUN
cana-1706	140	7	in	in	ADP
cana-1706	140	8	iot	iot	ADJ
cana-1706	140	9	traffic	traffic	NOUN
cana-1706	140	10	classification	classification	NOUN
cana-1706	140	11	.	.	PUNCT
cana-1706	141	1	●	●	PUNCT
cana-1706	141	2	vae	vae	PROPN
cana-1706	141	3	effectively	effectively	ADV
cana-1706	141	4	detected	detect	VERB
cana-1706	141	5	anomalies	anomaly	NOUN
cana-1706	141	6	using	use	VERB
cana-1706	141	7	reconstruction	reconstruction	NOUN
cana-1706	141	8	loss	loss	NOUN
cana-1706	141	9	and	and	CCONJ
cana-1706	141	10	kl	kl	NOUN
cana-1706	141	11	divergence	divergence	NOUN
cana-1706	141	12	.	.	PUNCT
cana-1706	142	1	●	●	PUNCT
cana-1706	142	2	deep	deep	ADJ
cana-1706	142	3	learning	learning	NOUN
cana-1706	142	4	enhances	enhance	VERB
cana-1706	142	5	iot	iot	PROPN
cana-1706	142	6	intrusion	intrusion	NOUN
cana-1706	142	7	detection	detection	NOUN
cana-1706	142	8	,	,	PUNCT
cana-1706	142	9	surpassing	surpass	VERB
cana-1706	142	10	traditional	traditional	ADJ
cana-1706	142	11	methods	method	NOUN
cana-1706	142	12	.	.	PUNCT
cana-1706	143	1	●	●	NUM
cana-1706	143	2	proposed	propose	VERB
cana-1706	143	3	model	model	NOUN
cana-1706	143	4	shows	show	VERB
cana-1706	143	5	superior	superior	ADJ
cana-1706	143	6	accuracy	accuracy	NOUN
cana-1706	143	7	compared	compare	VERB
cana-1706	143	8	to	to	ADP
cana-1706	143	9	existing	exist	VERB
cana-1706	143	10	intrusion	intrusion	NOUN
cana-1706	143	11	detection	detection	NOUN
cana-1706	143	12	methods	method	NOUN
cana-1706	143	13	.	.	PUNCT
cana-1706	144	1	[	[	X
cana-1706	144	2	17	17	NUM
cana-1706	144	3	]	]	X
cana-1706	144	4	●	●	PUNCT
cana-1706	144	5	utilize	utilize	VERB
cana-1706	144	6	unsupervised	unsupervised	ADJ
cana-1706	144	7	learning	learning	NOUN
cana-1706	144	8	for	for	ADP
cana-1706	144	9	enhanced	enhanced	ADJ
cana-1706	144	10	intrusion	intrusion	NOUN
cana-1706	144	11	detection	detection	NOUN
cana-1706	144	12	.	.	PUNCT
cana-1706	145	1	●	●	PUNCT
cana-1706	145	2	develop	develop	VERB
cana-1706	145	3	a	a	DET
cana-1706	145	4	three	three	NUM
cana-1706	145	5	-	-	PUNCT
cana-1706	145	6	stage	stage	NOUN
cana-1706	145	7	detection	detection	NOUN
cana-1706	145	8	model	model	NOUN
cana-1706	145	9	for	for	ADP
cana-1706	145	10	cybersecurity	cybersecurity	NOUN
cana-1706	145	11	enhancement	enhancement	NOUN
cana-1706	145	12	.	.	PUNCT
cana-1706	146	1	●	●	PUNCT
cana-1706	146	2	autoencoders	autoencoder	NOUN
cana-1706	146	3	,	,	PUNCT
cana-1706	146	4	ocsvm	ocsvm	ADV
cana-1706	146	5	,	,	PUNCT
cana-1706	146	6	dbscan	dbscan	NOUN
cana-1706	146	7	for	for	ADP
cana-1706	146	8	attack	attack	NOUN
cana-1706	146	9	detection	detection	NOUN
cana-1706	146	10	and	and	CCONJ
cana-1706	146	11	clustering	clustering	NOUN
cana-1706	146	12	.	.	PUNCT
cana-1706	147	1	●	●	PUNCT
cana-1706	147	2	mitre	mitre	NOUN
cana-1706	147	3	att&ck	att&ck	NOUN
cana-1706	147	4	framework	framework	NOUN
cana-1706	147	5	for	for	ADP
cana-1706	147	6	cyber	cyber	ADJ
cana-1706	147	7	threat	threat	NOUN
cana-1706	147	8	repository	repository	NOUN
cana-1706	147	9	establishment	establishment	NOUN
cana-1706	147	10	.	.	PUNCT
cana-1706	148	1	●	●	PUNCT
cana-1706	148	2	achieved	achieve	VERB
cana-1706	148	3	accuracies	accuracy	NOUN
cana-1706	148	4	exceeding	exceed	VERB
cana-1706	148	5	98	98	NUM
cana-1706	148	6	%	%	NOUN
cana-1706	148	7	on	on	ADP
cana-1706	148	8	cicids2017	cicids2017	PROPN
cana-1706	148	9	and	and	CCONJ
cana-1706	148	10	csecic	csecic	NOUN
cana-1706	148	11	-	-	PUNCT
cana-1706	148	12	ids2018	ids2018	NOUN
cana-1706	148	13	datasets	dataset	NOUN
cana-1706	148	14	.	.	PUNCT
cana-1706	149	1	●	●	PUNCT
cana-1706	149	2	outperformed	outperform	VERB
cana-1706	149	3	existing	exist	VERB
cana-1706	149	4	state	state	NOUN
cana-1706	149	5	of	of	ADP
cana-1706	149	6	art	art	NOUN
cana-1706	149	7	methods	method	NOUN
cana-1706	149	8	in	in	ADP
cana-1706	149	9	intrusion	intrusion	NOUN
cana-1706	149	10	detection	detection	NOUN
cana-1706	149	11	systems	system	NOUN
cana-1706	149	12	.	.	PUNCT
cana-1706	150	1	●	●	PUNCT
cana-1706	150	2	lack	lack	NOUN
cana-1706	150	3	of	of	ADP
cana-1706	150	4	studies	study	NOUN
cana-1706	150	5	on	on	ADP
cana-1706	150	6	optimal	optimal	ADJ
cana-1706	150	7	iot	iot	PROPN
cana-1706	150	8	anomaly	anomaly	NOUN
cana-1706	150	9	detection	detection	NOUN
cana-1706	150	10	models	model	NOUN
cana-1706	150	11	.	.	PUNCT
cana-1706	151	1	●	●	PUNCT
cana-1706	151	2	need	need	NOUN
cana-1706	151	3	for	for	ADP
cana-1706	151	4	evaluation	evaluation	NOUN
cana-1706	151	5	across	across	ADP
cana-1706	151	6	diverse	diverse	ADJ
cana-1706	151	7	iot	iot	NOUN
cana-1706	151	8	applications	application	NOUN
cana-1706	151	9	and	and	CCONJ
cana-1706	151	10	environments	environment	NOUN
cana-1706	151	11	.	.	PUNCT
cana-1706	152	1	[	[	X
cana-1706	152	2	18	18	NUM
cana-1706	152	3	]	]	SYM
cana-1706	152	4	●	●	PUNCT
cana-1706	152	5	enhance	enhance	VERB
cana-1706	152	6	iot	iot	ADJ
cana-1706	152	7	security	security	NOUN
cana-1706	152	8	through	through	ADP
cana-1706	152	9	cnn	cnn	PROPN
cana-1706	152	10	and	and	CCONJ
cana-1706	152	11	vae	vae	PROPN
cana-1706	152	12	models	model	NOUN
cana-1706	152	13	.	.	PUNCT
cana-1706	153	1	●	●	PUNCT
cana-1706	153	2	cnn	cnn	PROPN
cana-1706	153	3	for	for	ADP
cana-1706	153	4	iot	iot	PROPN
cana-1706	153	5	traffic	traffic	NOUN
cana-1706	153	6	classification	classification	NOUN
cana-1706	153	7	with	with	ADP
cana-1706	153	8	95.85	95.85	NUM
cana-1706	153	9	%	%	NOUN
cana-1706	153	10	accuracy	accuracy	NOUN
cana-1706	153	11	.	.	PUNCT
cana-1706	154	1	●	●	NUM
cana-1706	154	2	cnn	cnn	PROPN
cana-1706	154	3	model	model	NOUN
cana-1706	154	4	accuracy	accuracy	NOUN
cana-1706	154	5	:	:	PUNCT
cana-1706	154	6	95.85	95.85	NUM
cana-1706	154	7	%	%	NOUN
cana-1706	154	8	on	on	ADP
cana-1706	154	9	iot	iot	ADJ
cana-1706	154	10	device	device	NOUN
cana-1706	154	11	traffic	traffic	NOUN
cana-1706	154	12	classification	classification	NOUN
cana-1706	154	13	.	.	PUNCT
cana-1706	155	1	●	●	PUNCT
cana-1706	155	2	sensitivity	sensitivity	NOUN
cana-1706	155	3	of	of	ADP
cana-1706	155	4	machine	machine	NOUN
cana-1706	155	5	learning	learning	NOUN
cana-1706	155	6	models	model	NOUN
cana-1706	155	7	to	to	ADP
cana-1706	155	8	hyperparameters	hyperparameter	NOUN
cana-1706	155	9	.	.	PUNCT
cana-1706	156	1	communications	communication	NOUN
cana-1706	156	2	on	on	ADP
cana-1706	156	3	applied	apply	VERB
cana-1706	156	4	nonlinear	nonlinear	ADJ
cana-1706	156	5	analysis	analysis	NOUN
cana-1706	156	6	issn	issn	NOUN
cana-1706	156	7	:	:	PUNCT
cana-1706	156	8	1074	1074	NUM
cana-1706	156	9	-	-	PUNCT
cana-1706	156	10	133x	133x	NUM
cana-1706	156	11	vol	vol	NOUN
cana-1706	156	12	32	32	NUM
cana-1706	156	13	no	no	NOUN
cana-1706	156	14	.	.	NOUN
cana-1706	156	15	2	2	NUM
cana-1706	156	16	(	(	PUNCT
cana-1706	156	17	2025	2025	NUM
cana-1706	156	18	)	)	PUNCT
cana-1706	157	1	35	35	NUM
cana-1706	157	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	157	3	●	●	PUNCT
cana-1706	157	4	optimize	optimize	NOUN
cana-1706	157	5	training	training	NOUN
cana-1706	157	6	processes	process	NOUN
cana-1706	157	7	for	for	ADP
cana-1706	157	8	robust	robust	ADJ
cana-1706	157	9	anomaly	anomaly	NOUN
cana-1706	157	10	detection	detection	NOUN
cana-1706	157	11	capabilities	capability	NOUN
cana-1706	157	12	.	.	PUNCT
cana-1706	158	1	●	●	PUNCT
cana-1706	158	2	vae	vae	NOUN
cana-1706	158	3	for	for	ADP
cana-1706	158	4	anomaly	anomaly	NOUN
cana-1706	158	5	detection	detection	NOUN
cana-1706	158	6	capturing	capture	VERB
cana-1706	158	7	abnormal	abnormal	ADJ
cana-1706	158	8	patterns	pattern	NOUN
cana-1706	158	9	effectively	effectively	ADV
cana-1706	158	10	.	.	PUNCT
cana-1706	159	1	●	●	PUNCT
cana-1706	159	2	vae	vae	PROPN
cana-1706	159	3	model	model	NOUN
cana-1706	159	4	:	:	PUNCT
cana-1706	159	5	proficient	proficient	ADJ
cana-1706	159	6	anomaly	anomaly	NOUN
cana-1706	159	7	detection	detection	NOUN
cana-1706	159	8	capturing	capture	VERB
cana-1706	159	9	abnormal	abnormal	ADJ
cana-1706	159	10	patterns	pattern	NOUN
cana-1706	159	11	in	in	ADP
cana-1706	159	12	data	datum	NOUN
cana-1706	159	13	.	.	PUNCT
cana-1706	160	1	●	●	PUNCT
cana-1706	160	2	enhancing	enhance	VERB
cana-1706	160	3	predictive	predictive	ADJ
cana-1706	160	4	accuracy	accuracy	NOUN
cana-1706	160	5	in	in	ADP
cana-1706	160	6	heterogeneous	heterogeneous	ADJ
cana-1706	160	7	datasets	dataset	NOUN
cana-1706	160	8	using	use	VERB
cana-1706	160	9	ensemble	ensemble	ADJ
cana-1706	160	10	learning	learning	NOUN
cana-1706	160	11	.	.	PUNCT
cana-1706	161	1	[	[	X
cana-1706	161	2	19	19	NUM
cana-1706	161	3	]	]	SYM
cana-1706	161	4	●	●	PUNCT
cana-1706	161	5	develop	develop	VERB
cana-1706	161	6	machine	machine	NOUN
cana-1706	161	7	learningbased	learningbase	VERB
cana-1706	161	8	security	security	NOUN
cana-1706	161	9	measures	measure	NOUN
cana-1706	161	10	for	for	ADP
cana-1706	161	11	iot	iot	NOUN
cana-1706	161	12	networks	network	NOUN
cana-1706	161	13	.	.	PUNCT
cana-1706	162	1	●	●	PUNCT
cana-1706	162	2	utilize	utilize	VERB
cana-1706	162	3	ridge	ridge	NOUN
cana-1706	162	4	classifier	classifier	NOUN
cana-1706	162	5	to	to	PART
cana-1706	162	6	detect	detect	VERB
cana-1706	162	7	and	and	CCONJ
cana-1706	162	8	prevent	prevent	VERB
cana-1706	162	9	cyber	cyber	NOUN
cana-1706	162	10	-	-	PUNCT
cana-1706	162	11	attacks	attack	NOUN
cana-1706	162	12	.	.	PUNCT
cana-1706	163	1	●	●	PUNCT
cana-1706	163	2	ridge	ridge	NOUN
cana-1706	163	3	classifier	classifier	PROPN
cana-1706	163	4	model	model	NOUN
cana-1706	163	5	utilized	utilize	VERB
cana-1706	163	6	for	for	ADP
cana-1706	163	7	anomaly	anomaly	NOUN
cana-1706	163	8	detection	detection	NOUN
cana-1706	163	9	●	●	NUM
cana-1706	163	10	integration	integration	NOUN
cana-1706	163	11	of	of	ADP
cana-1706	163	12	multiple	multiple	ADJ
cana-1706	163	13	security	security	NOUN
cana-1706	163	14	mechanisms	mechanism	NOUN
cana-1706	163	15	for	for	ADP
cana-1706	163	16	comprehensive	comprehensive	ADJ
cana-1706	163	17	defense	defense	NOUN
cana-1706	163	18	●	●	PROPN
cana-1706	163	19	achieved	achieve	VERB
cana-1706	163	20	97	97	NUM
cana-1706	163	21	%	%	NOUN
cana-1706	163	22	accuracy	accuracy	NOUN
cana-1706	163	23	in	in	ADP
cana-1706	163	24	detecting	detect	VERB
cana-1706	163	25	and	and	CCONJ
cana-1706	163	26	mitigating	mitigate	VERB
cana-1706	163	27	network	network	NOUN
cana-1706	163	28	threats	threat	NOUN
cana-1706	163	29	.	.	PUNCT
cana-1706	164	1	●	●	PUNCT
cana-1706	164	2	enhances	enhance	VERB
cana-1706	164	3	security	security	NOUN
cana-1706	164	4	and	and	CCONJ
cana-1706	164	5	resilience	resilience	NOUN
cana-1706	164	6	of	of	ADP
cana-1706	164	7	iot	iot	PROPN
cana-1706	164	8	networks	network	NOUN
cana-1706	164	9	against	against	ADP
cana-1706	164	10	cyber	cyber	NOUN
cana-1706	164	11	-	-	PUNCT
cana-1706	164	12	attacks	attack	NOUN
cana-1706	164	13	.	.	PUNCT
cana-1706	165	1	●	●	PUNCT
cana-1706	165	2	explore	explore	VERB
cana-1706	165	3	diverse	diverse	ADJ
cana-1706	165	4	iot	iot	ADJ
cana-1706	165	5	traffic	traffic	NOUN
cana-1706	165	6	data	datum	NOUN
cana-1706	165	7	for	for	ADP
cana-1706	165	8	validation	validation	NOUN
cana-1706	165	9	.	.	PUNCT
cana-1706	166	1	●	●	PUNCT
cana-1706	166	2	optimize	optimize	NOUN
cana-1706	166	3	model	model	NOUN
cana-1706	166	4	structures	structure	NOUN
cana-1706	166	5	and	and	CCONJ
cana-1706	166	6	parameters	parameter	NOUN
cana-1706	166	7	for	for	ADP
cana-1706	166	8	improved	improved	ADJ
cana-1706	166	9	performance	performance	NOUN
cana-1706	166	10	.	.	PUNCT
cana-1706	167	1	[	[	X
cana-1706	167	2	20	20	NUM
cana-1706	167	3	]	]	SYM
cana-1706	167	4	●	●	PUNCT
cana-1706	167	5	develop	develop	VERB
cana-1706	167	6	deep	deep	ADJ
cana-1706	167	7	learning	learning	NOUN
cana-1706	167	8	framework	framework	NOUN
cana-1706	167	9	for	for	ADP
cana-1706	167	10	iot	iot	PROPN
cana-1706	167	11	anomaly	anomaly	PROPN
cana-1706	167	12	detection	detection	NOUN
cana-1706	167	13	.	.	PUNCT
cana-1706	168	1	●	●	PUNCT
cana-1706	168	2	optimize	optimize	NOUN
cana-1706	168	3	model	model	NOUN
cana-1706	168	4	using	use	VERB
cana-1706	168	5	jaya	jaya	NOUN
cana-1706	168	6	technique	technique	NOUN
cana-1706	168	7	and	and	CCONJ
cana-1706	168	8	validate	validate	NOUN
cana-1706	168	9	with	with	ADP
cana-1706	168	10	datasets	dataset	NOUN
cana-1706	168	11	.	.	PUNCT
cana-1706	169	1	●	●	PUNCT
cana-1706	169	2	bilstm	bilstm	NOUN
cana-1706	169	3	and	and	CCONJ
cana-1706	169	4	gru	gru	NOUN
cana-1706	169	5	architectures	architecture	NOUN
cana-1706	169	6	for	for	ADP
cana-1706	169	7	anomaly	anomaly	NOUN
cana-1706	169	8	detection	detection	NOUN
cana-1706	169	9	●	●	NUM
cana-1706	169	10	jaya	jaya	NOUN
cana-1706	169	11	optimization	optimization	NOUN
cana-1706	169	12	technique	technique	NOUN
cana-1706	169	13	for	for	ADP
cana-1706	169	14	hyper	hyper	ADJ
cana-1706	169	15	parameter	parameter	NOUN
cana-1706	169	16	optimization	optimization	NOUN
cana-1706	169	17	●	●	NUM
cana-1706	169	18	proposed	propose	VERB
cana-1706	169	19	model	model	NOUN
cana-1706	169	20	shows	show	VERB
cana-1706	169	21	superior	superior	ADJ
cana-1706	169	22	accuracy	accuracy	NOUN
cana-1706	169	23	compared	compare	VERB
cana-1706	169	24	to	to	ADP
cana-1706	169	25	existing	exist	VERB
cana-1706	169	26	methods	method	NOUN
cana-1706	169	27	.	.	PUNCT
cana-1706	170	1	●	●	PUNCT
cana-1706	170	2	performance	performance	NOUN
cana-1706	170	3	metrics	metric	NOUN
cana-1706	170	4	include	include	VERB
cana-1706	170	5	accuracy	accuracy	NOUN
cana-1706	170	6	,	,	PUNCT
cana-1706	170	7	precision	precision	NOUN
cana-1706	170	8	,	,	PUNCT
cana-1706	170	9	recall	recall	NOUN
cana-1706	170	10	,	,	PUNCT
cana-1706	170	11	f	f	X
cana-1706	170	12	-	-	PUNCT
cana-1706	170	13	score	score	NOUN
cana-1706	170	14	,	,	PUNCT
cana-1706	170	15	tnr	tnr	PROPN
cana-1706	170	16	,	,	PUNCT
cana-1706	170	17	fpr	fpr	PROPN
cana-1706	170	18	,	,	PUNCT
cana-1706	170	19	fnr	fnr	PROPN
cana-1706	170	20	.	.	PUNCT
cana-1706	171	1	●	●	PUNCT
cana-1706	171	2	explore	explore	VERB
cana-1706	171	3	diverse	diverse	ADJ
cana-1706	171	4	iot	iot	ADJ
cana-1706	171	5	traffic	traffic	NOUN
cana-1706	171	6	data	datum	NOUN
cana-1706	171	7	for	for	ADP
cana-1706	171	8	validation	validation	NOUN
cana-1706	171	9	.	.	PUNCT
cana-1706	172	1	●	●	PUNCT
cana-1706	172	2	further	further	ADJ
cana-1706	172	3	optimize	optimize	VERB
cana-1706	172	4	model	model	NOUN
cana-1706	172	5	structures	structure	NOUN
cana-1706	172	6	and	and	CCONJ
cana-1706	172	7	parameters	parameter	NOUN
cana-1706	172	8	for	for	ADP
cana-1706	172	9	improved	improved	ADJ
cana-1706	172	10	performance	performance	NOUN
cana-1706	172	11	table	table	NOUN
cana-1706	172	12	1	1	NUM
cana-1706	172	13	.	.	PUNCT
cana-1706	173	1	literature	literature	NOUN
cana-1706	173	2	review	review	NOUN
cana-1706	173	3	similarly	similarly	ADV
cana-1706	173	4	,	,	PUNCT
cana-1706	173	5	gupta	gupta	PROPN
cana-1706	173	6	et	et	NOUN
cana-1706	173	7	al.[22	al.[22	NOUN
cana-1706	173	8	]	]	PUNCT
cana-1706	173	9	in	in	ADP
cana-1706	173	10	another	another	DET
cana-1706	173	11	landmark	landmark	NOUN
cana-1706	173	12	study	study	NOUN
cana-1706	173	13	showed	show	VERB
cana-1706	173	14	that	that	SCONJ
cana-1706	173	15	2023	2023	NUM
cana-1706	173	16	)	)	PUNCT
cana-1706	173	17	proposed	propose	VERB
cana-1706	173	18	a	a	DET
cana-1706	173	19	hybrid	hybrid	ADJ
cana-1706	173	20	anomaly	anomaly	NOUN
cana-1706	173	21	detection	detection	NOUN
cana-1706	173	22	framework	framework	NOUN
cana-1706	173	23	for	for	ADP
cana-1706	173	24	combining	combine	VERB
cana-1706	173	25	supervised	supervised	ADJ
cana-1706	173	26	and	and	CCONJ
cana-1706	173	27	unsupervised	unsupervised	ADJ
cana-1706	173	28	learning	learning	NOUN
cana-1706	173	29	models	model	NOUN
cana-1706	173	30	.	.	PUNCT
cana-1706	174	1	they	they	PRON
cana-1706	174	2	deal	deal	VERB
cana-1706	174	3	with	with	ADP
cana-1706	174	4	being	be	AUX
cana-1706	174	5	able	able	ADJ
cana-1706	174	6	to	to	PART
cana-1706	174	7	detect	detect	VERB
cana-1706	174	8	a	a	DET
cana-1706	174	9	lot	lot	NOUN
cana-1706	174	10	of	of	ADP
cana-1706	174	11	zero	zero	NUM
cana-1706	174	12	-	-	PUNCT
cana-1706	174	13	day	day	NOUN
cana-1706	174	14	attacks	attack	NOUN
cana-1706	174	15	in	in	ADP
cana-1706	174	16	iot	iot	ADJ
cana-1706	174	17	networks	network	NOUN
cana-1706	174	18	that	that	PRON
cana-1706	174	19	usually	usually	ADV
cana-1706	174	20	circumvent	circumvent	VERB
cana-1706	174	21	traditional	traditional	ADJ
cana-1706	174	22	ids	id	NOUN
cana-1706	174	23	and	and	CCONJ
cana-1706	174	24	signature	signature	NOUN
cana-1706	174	25	-	-	PUNCT
cana-1706	174	26	based	base	VERB
cana-1706	174	27	systems	system	NOUN
cana-1706	174	28	.	.	PUNCT
cana-1706	175	1	by	by	ADP
cana-1706	175	2	using	use	VERB
cana-1706	175	3	the	the	DET
cana-1706	175	4	best	good	ADJ
cana-1706	175	5	of	of	ADP
cana-1706	175	6	both	both	DET
cana-1706	175	7	worlds	world	NOUN
cana-1706	175	8	,	,	PUNCT
cana-1706	175	9	a	a	DET
cana-1706	175	10	combined	combined	ADJ
cana-1706	175	11	model	model	NOUN
cana-1706	175	12	that	that	PRON
cana-1706	175	13	depends	depend	VERB
cana-1706	175	14	on	on	ADP
cana-1706	175	15	supervised	supervised	ADJ
cana-1706	175	16	learning	learn	VERB
cana-1706	175	17	to	to	PART
cana-1706	175	18	detect	detect	VERB
cana-1706	175	19	anything	anything	PRON
cana-1706	175	20	known	know	VERB
cana-1706	175	21	and	and	CCONJ
cana-1706	175	22	unsupervised	unsupervised	ADJ
cana-1706	175	23	methods	method	NOUN
cana-1706	175	24	to	to	PART
cana-1706	175	25	flag	flag	VERB
cana-1706	175	26	any	any	DET
cana-1706	175	27	unidentified	unidentified	ADJ
cana-1706	175	28	anomalies	anomaly	NOUN
cana-1706	175	29	.	.	PUNCT
cana-1706	176	1	the	the	DET
cana-1706	176	2	research	research	NOUN
cana-1706	176	3	also	also	ADV
cana-1706	176	4	shows	show	VERB
cana-1706	176	5	how	how	SCONJ
cana-1706	176	6	models	model	NOUN
cana-1706	176	7	that	that	PRON
cana-1706	176	8	can	can	AUX
cana-1706	176	9	spot	spot	VERB
cana-1706	176	10	attacks	attack	NOUN
cana-1706	176	11	in	in	ADP
cana-1706	176	12	real	real	ADJ
cana-1706	176	13	-	-	PUNCT
cana-1706	176	14	time	time	NOUN
cana-1706	176	15	with	with	ADP
cana-1706	176	16	low	low	ADJ
cana-1706	176	17	rates	rate	NOUN
cana-1706	176	18	of	of	ADP
cana-1706	176	19	false	false	ADJ
cana-1706	176	20	alarms	alarm	NOUN
cana-1706	176	21	are	be	AUX
cana-1706	176	22	a	a	DET
cana-1706	176	23	must	must	NOUN
cana-1706	176	24	for	for	ADP
cana-1706	176	25	environments	environment	NOUN
cana-1706	176	26	liable	liable	ADJ
cana-1706	176	27	to	to	ADP
cana-1706	176	28	iot	iot	PROPN
cana-1706	176	29	(	(	PUNCT
cana-1706	176	30	iot	iot	PROPN
cana-1706	176	31	ecosystems	ecosystem	NOUN
cana-1706	176	32	)	)	PUNCT
cana-1706	176	33	with	with	ADP
cana-1706	176	34	mission	mission	NOUN
cana-1706	176	35	-	-	PUNCT
cana-1706	176	36	critical	critical	ADJ
cana-1706	176	37	infrastructure	infrastructure	NOUN
cana-1706	176	38	,	,	PUNCT
cana-1706	176	39	such	such	ADJ
cana-1706	176	40	as	as	ADP
cana-1706	176	41	healthcare	healthcare	NOUN
cana-1706	176	42	or	or	CCONJ
cana-1706	176	43	industrial	industrial	ADJ
cana-1706	176	44	iot	iot	NOUN
cana-1706	176	45	.	.	PUNCT
cana-1706	177	1	more	more	ADV
cana-1706	177	2	sophisticated	sophisticated	ADJ
cana-1706	177	3	optimization	optimization	NOUN
cana-1706	177	4	algorithms	algorithm	NOUN
cana-1706	177	5	such	such	ADJ
cana-1706	177	6	as	as	ADP
cana-1706	177	7	particle	particle	NOUN
cana-1706	177	8	swarm	swarm	NOUN
cana-1706	177	9	optimization	optimization	NOUN
cana-1706	177	10	(	(	PUNCT
cana-1706	177	11	pso	pso	NOUN
cana-1706	177	12	)	)	PUNCT
cana-1706	177	13	are	be	AUX
cana-1706	177	14	used	use	VERB
cana-1706	177	15	to	to	PART
cana-1706	177	16	tune	tune	VERB
cana-1706	177	17	the	the	DET
cana-1706	177	18	detection	detection	NOUN
cana-1706	177	19	thresholds	threshold	NOUN
cana-1706	177	20	and	and	CCONJ
cana-1706	177	21	resource	resource	NOUN
cana-1706	177	22	allocation	allocation	NOUN
cana-1706	177	23	in	in	ADP
cana-1706	177	24	a	a	DET
cana-1706	177	25	way	way	NOUN
cana-1706	177	26	that	that	PRON
cana-1706	177	27	makes	make	VERB
cana-1706	177	28	the	the	DET
cana-1706	177	29	model	model	NOUN
cana-1706	177	30	responsive	responsive	ADJ
cana-1706	177	31	but	but	CCONJ
cana-1706	177	32	does	do	AUX
cana-1706	177	33	n't	not	PART
cana-1706	177	34	bring	bring	VERB
cana-1706	177	35	false	false	ADJ
cana-1706	177	36	positives	positive	NOUN
cana-1706	177	37	.	.	PUNCT
cana-1706	178	1	while	while	SCONJ
cana-1706	178	2	these	these	DET
cana-1706	178	3	results	result	NOUN
cana-1706	178	4	were	be	AUX
cana-1706	178	5	very	very	ADV
cana-1706	178	6	encouraging	encouraging	ADJ
cana-1706	178	7	,	,	PUNCT
cana-1706	178	8	the	the	DET
cana-1706	178	9	authors	author	NOUN
cana-1706	178	10	caution	caution	VERB
cana-1706	178	11	that	that	SCONJ
cana-1706	178	12	deploying	deploy	VERB
cana-1706	178	13	a	a	DET
cana-1706	178	14	resource	resource	NOUN
cana-1706	178	15	-	-	PUNCT
cana-1706	178	16	intensive	intensive	ADJ
cana-1706	178	17	model	model	NOUN
cana-1706	178	18	like	like	ADP
cana-1706	178	19	expand	expand	VERB
cana-1706	178	20	net	net	NOUN
cana-1706	178	21	on	on	ADP
cana-1706	178	22	communications	communication	NOUN
cana-1706	178	23	on	on	ADP
cana-1706	178	24	applied	apply	VERB
cana-1706	178	25	nonlinear	nonlinear	ADJ
cana-1706	178	26	analysis	analysis	NOUN
cana-1706	178	27	issn	issn	NOUN
cana-1706	178	28	:	:	PUNCT
cana-1706	178	29	1074	1074	NUM
cana-1706	178	30	-	-	PUNCT
cana-1706	178	31	133x	133x	NUM
cana-1706	178	32	vol	vol	NOUN
cana-1706	178	33	32	32	NUM
cana-1706	178	34	no	no	NOUN
cana-1706	178	35	.	.	NOUN
cana-1706	178	36	2	2	NUM
cana-1706	178	37	(	(	PUNCT
cana-1706	178	38	2025	2025	NUM
cana-1706	178	39	)	)	PUNCT
cana-1706	178	40	36	36	NUM
cana-1706	178	41	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	178	42	highly	highly	ADV
cana-1706	178	43	constrained	constrain	VERB
cana-1706	178	44	iot	iot	NOUN
cana-1706	178	45	devices	device	NOUN
cana-1706	178	46	is	be	AUX
cana-1706	178	47	a	a	DET
cana-1706	178	48	challenge	challenge	NOUN
cana-1706	178	49	and	and	CCONJ
cana-1706	178	50	that	that	SCONJ
cana-1706	178	51	their	their	PRON
cana-1706	178	52	method	method	NOUN
cana-1706	178	53	may	may	AUX
cana-1706	178	54	benefit	benefit	VERB
cana-1706	178	55	from	from	ADP
cana-1706	178	56	offloading	offload	VERB
cana-1706	178	57	some	some	PRON
cana-1706	178	58	of	of	ADP
cana-1706	178	59	the	the	DET
cana-1706	178	60	processing	processing	NOUN
cana-1706	178	61	to	to	PART
cana-1706	178	62	edge	edge	VERB
cana-1706	178	63	computing	compute	VERB
cana-1706	178	64	resources	resource	NOUN
cana-1706	178	65	.	.	PUNCT
cana-1706	179	1	only	only	ADV
cana-1706	179	2	in	in	ADP
cana-1706	179	3	recent	recent	ADJ
cana-1706	179	4	years	year	NOUN
cana-1706	179	5	,	,	PUNCT
cana-1706	179	6	machine	machine	NOUN
cana-1706	179	7	learning	learning	NOUN
cana-1706	179	8	and	and	CCONJ
cana-1706	179	9	deep	deep	ADJ
cana-1706	179	10	learning	learning	NOUN
cana-1706	179	11	technologies	technology	NOUN
cana-1706	179	12	have	have	AUX
cana-1706	179	13	been	be	AUX
cana-1706	179	14	very	very	ADV
cana-1706	179	15	popular	popular	ADJ
cana-1706	179	16	for	for	ADP
cana-1706	179	17	cyber	cyber	ADJ
cana-1706	179	18	security	security	NOUN
cana-1706	179	19	solutions	solution	NOUN
cana-1706	179	20	designed	design	VERB
cana-1706	179	21	to	to	PART
cana-1706	179	22	secure	secure	VERB
cana-1706	179	23	iot	iot	ADJ
cana-1706	179	24	networks	network	NOUN
cana-1706	179	25	.	.	PUNCT
cana-1706	180	1	deep	deep	ADJ
cana-1706	180	2	learning	learning	NOUN
cana-1706	180	3	models	model	NOUN
cana-1706	180	4	when	when	SCONJ
cana-1706	180	5	combined	combine	VERB
cana-1706	180	6	with	with	ADP
cana-1706	180	7	optimization	optimization	NOUN
cana-1706	180	8	algorithms	algorithm	NOUN
cana-1706	180	9	have	have	AUX
cana-1706	180	10	significantly	significantly	ADV
cana-1706	180	11	improved	improve	VERB
cana-1706	180	12	the	the	DET
cana-1706	180	13	performance	performance	NOUN
cana-1706	180	14	,	,	PUNCT
cana-1706	180	15	accuracy	accuracy	NOUN
cana-1706	180	16	and	and	CCONJ
cana-1706	180	17	speed	speed	NOUN
cana-1706	180	18	of	of	ADP
cana-1706	180	19	anomaly	anomaly	NOUN
cana-1706	180	20	detection	detection	NOUN
cana-1706	180	21	systems	system	NOUN
cana-1706	180	22	.	.	PUNCT
cana-1706	181	1	nonetheless	nonetheless	ADV
cana-1706	181	2	,	,	PUNCT
cana-1706	181	3	various	various	ADJ
cana-1706	181	4	studies	study	NOUN
cana-1706	181	5	indicate	indicate	VERB
cana-1706	181	6	that	that	SCONJ
cana-1706	181	7	these	these	DET
cana-1706	181	8	methods	method	NOUN
cana-1706	181	9	are	be	AUX
cana-1706	181	10	inherently	inherently	ADV
cana-1706	181	11	complex	complex	ADJ
cana-1706	181	12	and	and	CCONJ
cana-1706	181	13	challenging	challenging	ADJ
cana-1706	181	14	in	in	ADP
cana-1706	181	15	terms	term	NOUN
cana-1706	181	16	of	of	ADP
cana-1706	181	17	both	both	CCONJ
cana-1706	181	18	computational	computational	ADJ
cana-1706	181	19	time	time	NOUN
cana-1706	181	20	and	and	CCONJ
cana-1706	181	21	scalability	scalability	NOUN
cana-1706	181	22	;	;	PUNCT
cana-1706	181	23	the	the	DET
cana-1706	181	24	real	real	ADJ
cana-1706	181	25	-	-	PUNCT
cana-1706	181	26	time	time	NOUN
cana-1706	181	27	responsiveness	responsiveness	NOUN
cana-1706	181	28	also	also	ADV
cana-1706	181	29	remains	remain	VERB
cana-1706	181	30	a	a	DET
cana-1706	181	31	major	major	ADJ
cana-1706	181	32	issue	issue	NOUN
cana-1706	181	33	.	.	PUNCT
cana-1706	182	1	the	the	DET
cana-1706	182	2	principle	principle	NOUN
cana-1706	182	3	of	of	ADP
cana-1706	182	4	much	much	ADJ
cana-1706	182	5	of	of	ADP
cana-1706	182	6	the	the	DET
cana-1706	182	7	current	current	ADJ
cana-1706	182	8	research	research	NOUN
cana-1706	182	9	including	include	VERB
cana-1706	182	10	(	(	PUNCT
cana-1706	182	11	for	for	ADP
cana-1706	182	12	example	example	NOUN
cana-1706	182	13	)	)	PUNCT
cana-1706	182	14	the	the	DET
cana-1706	182	15	work	work	NOUN
cana-1706	182	16	from	from	ADP
cana-1706	182	17	xiong	xiong	PROPN
cana-1706	182	18	et	et	PROPN
cana-1706	182	19	al	al	PROPN
cana-1706	182	20	.	.	PROPN
cana-1706	182	21	is	be	AUX
cana-1706	182	22	that	that	SCONJ
cana-1706	182	23	even	even	ADV
cana-1706	182	24	if	if	SCONJ
cana-1706	182	25	detection	detection	NOUN
cana-1706	182	26	rates	rate	NOUN
cana-1706	182	27	in	in	ADP
cana-1706	182	28	controlled	control	VERB
cana-1706	182	29	environments	environment	NOUN
cana-1706	182	30	are	be	AUX
cana-1706	182	31	close	close	ADJ
cana-1706	182	32	to	to	PART
cana-1706	182	33	100	100	NUM
cana-1706	182	34	%	%	NOUN
cana-1706	182	35	,	,	PUNCT
cana-1706	182	36	real	real	ADJ
cana-1706	182	37	world	world	NOUN
cana-1706	182	38	practical	practical	ADJ
cana-1706	182	39	implementation	implementation	NOUN
cana-1706	182	40	still	still	ADV
cana-1706	182	41	frequently	frequently	ADV
cana-1706	182	42	has	have	VERB
cana-1706	182	43	failures	failure	NOUN
cana-1706	182	44	,	,	PUNCT
cana-1706	182	45	so	so	ADV
cana-1706	182	46	not	not	PART
cana-1706	182	47	because	because	SCONJ
cana-1706	182	48	we	we	PRON
cana-1706	182	49	lack	lack	VERB
cana-1706	182	50	efficient	efficient	ADJ
cana-1706	182	51	methods	method	NOUN
cana-1706	182	52	but	but	CCONJ
cana-1706	182	53	rather	rather	ADV
cana-1706	182	54	due	due	ADP
cana-1706	182	55	to	to	ADP
cana-1706	182	56	other	other	ADJ
cana-1706	182	57	bottlenecks	bottleneck	NOUN
cana-1706	182	58	in	in	ADP
cana-1706	182	59	the	the	DET
cana-1706	182	60	operational	operational	ADJ
cana-1706	182	61	chain	chain	NOUN
cana-1706	182	62	or	or	CCONJ
cana-1706	182	63	human	human	ADJ
cana-1706	182	64	factors	factor	NOUN
cana-1706	182	65	.	.	PUNCT
cana-1706	183	1	concerning	concern	VERB
cana-1706	183	2	the	the	DET
cana-1706	183	3	context	context	NOUN
cana-1706	183	4	of	of	ADP
cana-1706	183	5	resource	resource	NOUN
cana-1706	183	6	limited	limit	VERB
cana-1706	183	7	devices	device	NOUN
cana-1706	183	8	,	,	PUNCT
cana-1706	183	9	creating	create	VERB
cana-1706	183	10	lightweight	lightweight	ADJ
cana-1706	183	11	models	model	NOUN
cana-1706	183	12	that	that	PRON
cana-1706	183	13	can	can	AUX
cana-1706	183	14	operate	operate	VERB
cana-1706	183	15	efficiently	efficiently	ADV
cana-1706	183	16	remains	remain	VERB
cana-1706	183	17	a	a	DET
cana-1706	183	18	challenging	challenging	ADJ
cana-1706	183	19	and	and	CCONJ
cana-1706	183	20	important	important	ADJ
cana-1706	183	21	research	research	NOUN
cana-1706	183	22	area[23	area[23	PROPN
cana-1706	183	23	]	]	PUNCT
cana-1706	183	24	.	.	PUNCT
cana-1706	184	1	recent	recent	ADJ
cana-1706	184	2	work	work	NOUN
cana-1706	184	3	on	on	ADP
cana-1706	184	4	semantic	semantic	ADJ
cana-1706	184	5	segmentation	segmentation	NOUN
cana-1706	184	6	emphasizes	emphasize	VERB
cana-1706	184	7	the	the	DET
cana-1706	184	8	trade	trade	NOUN
cana-1706	184	9	-	-	PUNCT
cana-1706	184	10	off	off	NOUN
cana-1706	184	11	between	between	ADP
cana-1706	184	12	detection	detection	NOUN
cana-1706	184	13	accuracy	accuracy	NOUN
cana-1706	184	14	and	and	CCONJ
cana-1706	184	15	computational	computational	ADJ
cana-1706	184	16	efficiency	efficiency	NOUN
cana-1706	184	17	.	.	PUNCT
cana-1706	185	1	the	the	PRON
cana-1706	185	2	larger	large	ADJ
cana-1706	185	3	the	the	DET
cana-1706	185	4	iot	iot	PROPN
cana-1706	185	5	network	network	NOUN
cana-1706	185	6	grows	grow	VERB
cana-1706	185	7	(	(	PUNCT
cana-1706	185	8	both	both	CCONJ
cana-1706	185	9	from	from	ADP
cana-1706	185	10	a	a	DET
cana-1706	185	11	total	total	ADJ
cana-1706	185	12	number	number	NOUN
cana-1706	185	13	of	of	ADP
cana-1706	185	14	devices	device	NOUN
cana-1706	185	15	and	and	CCONJ
cana-1706	185	16	the	the	DET
cana-1706	185	17	amount	amount	NOUN
cana-1706	185	18	of	of	ADP
cana-1706	185	19	data	datum	NOUN
cana-1706	185	20	being	be	AUX
cana-1706	185	21	generated	generate	VERB
cana-1706	185	22	)	)	PUNCT
cana-1706	185	23	,	,	PUNCT
cana-1706	185	24	the	the	PRON
cana-1706	185	25	harder	hard	ADJ
cana-1706	185	26	it	it	PRON
cana-1706	185	27	will	will	AUX
cana-1706	185	28	be	be	AUX
cana-1706	185	29	to	to	PART
cana-1706	185	30	use	use	VERB
cana-1706	185	31	traditional	traditional	ADJ
cana-1706	185	32	methods	method	NOUN
cana-1706	185	33	of	of	ADP
cana-1706	185	34	anomaly	anomaly	NOUN
cana-1706	185	35	detection	detection	NOUN
cana-1706	185	36	.	.	PUNCT
cana-1706	186	1	to	to	PART
cana-1706	186	2	tackle	tackle	VERB
cana-1706	186	3	these	these	DET
cana-1706	186	4	challenges	challenge	NOUN
cana-1706	186	5	,	,	PUNCT
cana-1706	186	6	optimization	optimization	NOUN
cana-1706	186	7	techniques	technique	NOUN
cana-1706	186	8	such	such	ADJ
cana-1706	186	9	as	as	ADP
cana-1706	186	10	the	the	DET
cana-1706	186	11	genetic	genetic	ADJ
cana-1706	186	12	algorithm	algorithm	NOUN
cana-1706	186	13	(	(	PUNCT
cana-1706	186	14	ga	ga	NOUN
cana-1706	186	15	)	)	PUNCT
cana-1706	186	16	and	and	CCONJ
cana-1706	186	17	particle	particle	NOUN
cana-1706	186	18	swarm	swarm	NOUN
cana-1706	186	19	optimization	optimization	NOUN
cana-1706	186	20	(	(	PUNCT
cana-1706	186	21	pso	pso	NOUN
cana-1706	186	22	)	)	PUNCT
cana-1706	186	23	have	have	AUX
cana-1706	186	24	been	be	AUX
cana-1706	186	25	majorly	majorly	ADV
cana-1706	186	26	used	use	VERB
cana-1706	186	27	.	.	PUNCT
cana-1706	187	1	optimization	optimization	NOUN
cana-1706	187	2	algorithms	algorithm	NOUN
cana-1706	187	3	dynamically	dynamically	ADV
cana-1706	187	4	adjust	adjust	VERB
cana-1706	187	5	detection	detection	NOUN
cana-1706	187	6	thresholds	threshold	NOUN
cana-1706	187	7	and	and	CCONJ
cana-1706	187	8	allocate	allocate	ADJ
cana-1706	187	9	resources	resource	NOUN
cana-1706	187	10	in	in	ADP
cana-1706	187	11	order	order	NOUN
cana-1706	187	12	to	to	PART
cana-1706	187	13	ensure	ensure	VERB
cana-1706	187	14	the	the	DET
cana-1706	187	15	accuracy	accuracy	NOUN
cana-1706	187	16	of	of	ADP
cana-1706	187	17	anomaly	anomaly	NOUN
cana-1706	187	18	detection	detection	NOUN
cana-1706	187	19	models	model	NOUN
cana-1706	187	20	while	while	SCONJ
cana-1706	187	21	keeping	keep	VERB
cana-1706	187	22	them	they	PRON
cana-1706	187	23	efficient	efficient	ADJ
cana-1706	187	24	even	even	ADV
cana-1706	187	25	in	in	ADP
cana-1706	187	26	large	large	ADJ
cana-1706	187	27	-	-	PUNCT
cana-1706	187	28	scale	scale	NOUN
cana-1706	187	29	iot	iot	NOUN
cana-1706	187	30	networks	network	NOUN
cana-1706	187	31	.	.	PUNCT
cana-1706	188	1	nonetheless	nonetheless	ADV
cana-1706	188	2	,	,	PUNCT
cana-1706	188	3	better	well	ADJ
cana-1706	188	4	optimization	optimization	NOUN
cana-1706	188	5	algorithms	algorithm	NOUN
cana-1706	188	6	that	that	PRON
cana-1706	188	7	can	can	AUX
cana-1706	188	8	manage	manage	VERB
cana-1706	188	9	the	the	DET
cana-1706	188	10	ongoing	ongoing	ADJ
cana-1706	188	11	growth	growth	NOUN
cana-1706	188	12	in	in	ADP
cana-1706	188	13	complexity	complexity	NOUN
cana-1706	188	14	of	of	ADP
cana-1706	188	15	iot	iot	PROPN
cana-1706	188	16	networks	network	NOUN
cana-1706	188	17	is	be	AUX
cana-1706	188	18	necessary[24	necessary[24	NOUN
cana-1706	188	19	]	]	PUNCT
cana-1706	188	20	.	.	PUNCT
cana-1706	189	1	edge	edge	NOUN
cana-1706	189	2	computing	compute	VERB
cana-1706	189	3	for	for	ADP
cana-1706	189	4	iot	iot	ADJ
cana-1706	189	5	security	security	NOUN
cana-1706	189	6	beyond	beyond	ADP
cana-1706	189	7	machine	machine	NOUN
cana-1706	189	8	learning	learning	NOUN
cana-1706	189	9	and	and	CCONJ
cana-1706	189	10	optimization	optimization	NOUN
cana-1706	189	11	methods	method	NOUN
cana-1706	189	12	,	,	PUNCT
cana-1706	189	13	there	there	PRON
cana-1706	189	14	's	be	VERB
cana-1706	189	15	been	be	AUX
cana-1706	189	16	growing	grow	VERB
cana-1706	189	17	interest	interest	NOUN
cana-1706	189	18	in	in	ADP
cana-1706	189	19	the	the	DET
cana-1706	189	20	application	application	NOUN
cana-1706	189	21	of	of	ADP
cana-1706	189	22	edge	edge	NOUN
cana-1706	189	23	computing	compute	VERB
cana-1706	189	24	to	to	PART
cana-1706	189	25	strengthen	strengthen	VERB
cana-1706	189	26	the	the	DET
cana-1706	189	27	utilization	utilization	NOUN
cana-1706	189	28	of	of	ADP
cana-1706	189	29	iot	iot	ADJ
cana-1706	189	30	security	security	NOUN
cana-1706	189	31	.	.	PUNCT
cana-1706	190	1	besides	besides	ADV
cana-1706	190	2	,	,	PUNCT
cana-1706	190	3	edge	edge	NOUN
cana-1706	190	4	computing	computing	NOUN
cana-1706	190	5	can	can	AUX
cana-1706	190	6	possibly	possibly	ADV
cana-1706	190	7	help	help	VERB
cana-1706	190	8	address	address	VERB
cana-1706	190	9	the	the	DET
cana-1706	190	10	issues	issue	NOUN
cana-1706	190	11	of	of	ADP
cana-1706	190	12	real	real	ADJ
cana-1706	190	13	-	-	PUNCT
cana-1706	190	14	time	time	NOUN
cana-1706	190	15	anomaly	anomaly	NOUN
cana-1706	190	16	detection	detection	NOUN
cana-1706	190	17	in	in	ADP
cana-1706	190	18	iot	iot	ADJ
cana-1706	190	19	systems	system	NOUN
cana-1706	190	20	by	by	ADP
cana-1706	190	21	processing	process	VERB
cana-1706	190	22	data	datum	NOUN
cana-1706	190	23	near	near	ADP
cana-1706	190	24	the	the	DET
cana-1706	190	25	source	source	NOUN
cana-1706	190	26	(	(	PUNCT
cana-1706	190	27	way	way	NOUN
cana-1706	190	28	more	more	ADV
cana-1706	190	29	local	local	ADJ
cana-1706	190	30	as	as	ADP
cana-1706	190	31	compared	compare	VERB
cana-1706	190	32	to	to	ADP
cana-1706	190	33	centralized	centralized	ADJ
cana-1706	190	34	cloud	cloud	NOUN
cana-1706	190	35	servers	server	NOUN
cana-1706	190	36	)	)	PUNCT
cana-1706	190	37	.	.	PUNCT
cana-1706	191	1	edge	edge	NOUN
cana-1706	191	2	computing	computing	NOUN
cana-1706	191	3	has	have	AUX
cana-1706	191	4	been	be	AUX
cana-1706	191	5	extensively	extensively	ADV
cana-1706	191	6	considered	consider	VERB
cana-1706	191	7	to	to	PART
cana-1706	191	8	relieve	relieve	VERB
cana-1706	191	9	iot	iot	NOUN
cana-1706	191	10	devices	device	NOUN
cana-1706	191	11	with	with	ADP
cana-1706	191	12	limited	limited	ADJ
cana-1706	191	13	resources	resource	NOUN
cana-1706	191	14	from	from	ADP
cana-1706	191	15	doing	do	VERB
cana-1706	191	16	a	a	DET
cana-1706	191	17	large	large	ADJ
cana-1706	191	18	scale	scale	NOUN
cana-1706	191	19	of	of	ADP
cana-1706	191	20	computing	compute	VERB
cana-1706	191	21	work	work	NOUN
cana-1706	191	22	for	for	ADP
cana-1706	191	23	faster	fast	ADJ
cana-1706	191	24	and	and	CCONJ
cana-1706	191	25	more	more	ADV
cana-1706	191	26	effective	effective	ADJ
cana-1706	191	27	threat	threat	NOUN
cana-1706	191	28	detection	detection	NOUN
cana-1706	191	29	[	[	X
cana-1706	191	30	14	14	NUM
cana-1706	191	31	]	]	PUNCT
cana-1706	191	32	.	.	PUNCT
cana-1706	192	1	nonetheless	nonetheless	ADV
cana-1706	192	2	,	,	PUNCT
cana-1706	192	3	edge	edge	NOUN
cana-1706	192	4	computing	compute	VERB
cana-1706	192	5	with	with	ADP
cana-1706	192	6	anomaly	anomaly	NOUN
cana-1706	192	7	detection	detection	NOUN
cana-1706	192	8	models	model	NOUN
cana-1706	192	9	can	can	AUX
cana-1706	192	10	be	be	AUX
cana-1706	192	11	a	a	DET
cana-1706	192	12	challenging	challenging	ADJ
cana-1706	192	13	task	task	NOUN
cana-1706	192	14	since	since	SCONJ
cana-1706	192	15	we	we	PRON
cana-1706	192	16	have	have	VERB
cana-1706	192	17	to	to	PART
cana-1706	192	18	deal	deal	VERB
cana-1706	192	19	with	with	ADP
cana-1706	192	20	communication	communication	NOUN
cana-1706	192	21	security	security	NOUN
cana-1706	192	22	between	between	ADP
cana-1706	192	23	iot	iot	PROPN
cana-1706	192	24	devices	device	NOUN
cana-1706	192	25	and	and	CCONJ
cana-1706	192	26	the	the	DET
cana-1706	192	27	edge	edge	NOUN
cana-1706	192	28	servers	server	NOUN
cana-1706	192	29	as	as	ADV
cana-1706	192	30	well	well	ADV
cana-1706	192	31	as	as	ADP
cana-1706	192	32	balancing	balance	VERB
cana-1706	192	33	accuracy	accuracy	NOUN
cana-1706	192	34	in	in	ADP
cana-1706	192	35	detecting	detect	VERB
cana-1706	192	36	anomalies	anomaly	NOUN
cana-1706	192	37	vs	vs	ADP
cana-1706	192	38	latency	latency	NOUN
cana-1706	192	39	.	.	PUNCT
cana-1706	193	1	to	to	PART
cana-1706	193	2	sum	sum	VERB
cana-1706	193	3	up	up	ADP
cana-1706	193	4	:	:	PUNCT
cana-1706	193	5	the	the	DET
cana-1706	193	6	latest	late	ADJ
cana-1706	193	7	publications	publication	NOUN
cana-1706	193	8	in2023	in2023	PROPN
cana-1706	193	9	provide	provide	VERB
cana-1706	193	10	a	a	DET
cana-1706	193	11	new	new	ADJ
cana-1706	193	12	achievement	achievement	NOUN
cana-1706	193	13	to	to	PART
cana-1706	193	14	improve	improve	VERB
cana-1706	193	15	iot	iot	ADJ
cana-1706	193	16	safety	safety	NOUN
cana-1706	193	17	based	base	VERB
cana-1706	193	18	on	on	ADP
cana-1706	193	19	anomaly	anomaly	NOUN
cana-1706	193	20	detection	detection	NOUN
cana-1706	193	21	employing	employ	VERB
cana-1706	193	22	machine	machine	NOUN
cana-1706	193	23	learning	learning	NOUN
cana-1706	193	24	and	and	CCONJ
cana-1706	193	25	optimisation	optimisation	NOUN
cana-1706	193	26	techniques	technique	NOUN
cana-1706	193	27	.	.	PUNCT
cana-1706	194	1	xiong	xiong	PROPN
cana-1706	194	2	et	et	PROPN
cana-1706	194	3	al	al	PROPN
cana-1706	194	4	.	.	PROPN
cana-1706	194	5	etc	etc	X
cana-1706	194	6	.	.	X
cana-1706	194	7	and	and	CCONJ
cana-1706	194	8	gupta	gupta	PROPN
cana-1706	194	9	et	et	PROPN
cana-1706	194	10	al	al	PROPN
cana-1706	194	11	.	.	PUNCT
cana-1706	195	1	revealing	reveal	VERB
cana-1706	195	2	the	the	DET
cana-1706	195	3	efficacy	efficacy	NOUN
cana-1706	195	4	of	of	ADP
cana-1706	195	5	these	these	DET
cana-1706	195	6	methods	method	NOUN
cana-1706	195	7	for	for	ADP
cana-1706	195	8	enhanced	enhanced	ADJ
cana-1706	195	9	detection	detection	NOUN
cana-1706	195	10	accuracy	accuracy	NOUN
cana-1706	195	11	and	and	CCONJ
cana-1706	195	12	efficiency	efficiency	NOUN
cana-1706	195	13	,	,	PUNCT
cana-1706	195	14	yet	yet	ADV
cana-1706	195	15	showcasing	showcase	VERB
cana-1706	195	16	difficulties	difficulty	NOUN
cana-1706	195	17	in	in	ADP
cana-1706	195	18	operationalising	operationalise	VERB
cana-1706	195	19	such	such	ADJ
cana-1706	195	20	models	model	NOUN
cana-1706	195	21	within	within	ADP
cana-1706	195	22	practical	practical	ADJ
cana-1706	195	23	iot	iot	NOUN
cana-1706	195	24	inference	inference	NOUN
cana-1706	195	25	environments	environment	NOUN
cana-1706	195	26	.	.	PUNCT
cana-1706	196	1	furthermore	furthermore	ADV
cana-1706	196	2	,	,	PUNCT
cana-1706	196	3	as	as	SCONJ
cana-1706	196	4	iot	iot	PROPN
cana-1706	196	5	networks	network	NOUN
cana-1706	196	6	grow	grow	VERB
cana-1706	196	7	and	and	CCONJ
cana-1706	196	8	evolve	evolve	VERB
cana-1706	196	9	,	,	PUNCT
cana-1706	196	10	this	this	DET
cana-1706	196	11	challenge	challenge	NOUN
cana-1706	196	12	will	will	AUX
cana-1706	196	13	likely	likely	ADV
cana-1706	196	14	only	only	ADV
cana-1706	196	15	increase	increase	VERB
cana-1706	196	16	over	over	ADP
cana-1706	196	17	time	time	NOUN
cana-1706	196	18	which	which	PRON
cana-1706	196	19	creates	create	VERB
cana-1706	196	20	a	a	DET
cana-1706	196	21	continuous	continuous	ADJ
cana-1706	196	22	demand	demand	NOUN
cana-1706	196	23	for	for	ADP
cana-1706	196	24	creative	creative	ADJ
cana-1706	196	25	security	security	NOUN
cana-1706	196	26	capabilities	capability	NOUN
cana-1706	196	27	that	that	PRON
cana-1706	196	28	are	be	AUX
cana-1706	196	29	flexible	flexible	ADJ
cana-1706	196	30	with	with	ADP
cana-1706	196	31	the	the	DET
cana-1706	196	32	changes	change	NOUN
cana-1706	196	33	of	of	ADP
cana-1706	196	34	the	the	DET
cana-1706	196	35	day	day	NOUN
cana-1706	196	36	.	.	PUNCT
cana-1706	197	1	there	there	PRON
cana-1706	197	2	are	be	VERB
cana-1706	197	3	a	a	DET
cana-1706	197	4	lot	lot	NOUN
cana-1706	197	5	of	of	ADP
cana-1706	197	6	challenges	challenge	NOUN
cana-1706	197	7	to	to	PART
cana-1706	197	8	be	be	AUX
cana-1706	197	9	faced	face	VERB
cana-1706	197	10	in	in	ADP
cana-1706	197	11	the	the	DET
cana-1706	197	12	future	future	NOUN
cana-1706	197	13	,	,	PUNCT
cana-1706	197	14	which	which	PRON
cana-1706	197	15	can	can	AUX
cana-1706	197	16	only	only	ADV
cana-1706	197	17	be	be	AUX
cana-1706	197	18	solved	solve	VERB
cana-1706	197	19	by	by	ADP
cana-1706	197	20	applying	apply	VERB
cana-1706	197	21	optimization	optimization	NOUN
cana-1706	197	22	techniques	technique	NOUN
cana-1706	197	23	,	,	PUNCT
cana-1706	197	24	edge	edge	NOUN
cana-1706	197	25	computing	computing	NOUN
cana-1706	197	26	as	as	ADV
cana-1706	197	27	well	well	ADV
cana-1706	197	28	as	as	ADP
cana-1706	197	29	creating	create	VERB
cana-1706	197	30	more	more	ADV
cana-1706	197	31	efficient	efficient	ADJ
cana-1706	197	32	machine	machine	NOUN
cana-1706	197	33	learning	learning	NOUN
cana-1706	197	34	models	model	NOUN
cana-1706	197	35	so	so	SCONJ
cana-1706	197	36	all	all	DET
cana-1706	197	37	the	the	DET
cana-1706	197	38	solutions	solution	NOUN
cana-1706	197	39	for	for	ADP
cana-1706	197	40	this	this	PRON
cana-1706	197	41	will	will	AUX
cana-1706	197	42	make	make	VERB
cana-1706	197	43	iot	iot	ADJ
cana-1706	197	44	networks	network	NOUN
cana-1706	197	45	very	very	ADJ
cana-1706	197	46	safe.[25	safe.[25	PROPN
cana-1706	197	47	]	]	PUNCT
cana-1706	197	48	communications	communication	NOUN
cana-1706	197	49	on	on	ADP
cana-1706	197	50	applied	apply	VERB
cana-1706	197	51	nonlinear	nonlinear	ADJ
cana-1706	197	52	analysis	analysis	NOUN
cana-1706	197	53	issn	issn	NOUN
cana-1706	197	54	:	:	PUNCT
cana-1706	197	55	1074	1074	NUM
cana-1706	197	56	-	-	PUNCT
cana-1706	197	57	133x	133x	NUM
cana-1706	197	58	vol	vol	NOUN
cana-1706	197	59	32	32	NUM
cana-1706	197	60	no	no	NOUN
cana-1706	197	61	.	.	NOUN
cana-1706	197	62	2	2	NUM
cana-1706	197	63	(	(	PUNCT
cana-1706	197	64	2025	2025	NUM
cana-1706	197	65	)	)	PUNCT
cana-1706	197	66	37	37	NUM
cana-1706	197	67	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	197	68	for	for	ADP
cana-1706	197	69	example	example	NOUN
cana-1706	197	70	,	,	PUNCT
cana-1706	197	71	we	we	PRON
cana-1706	197	72	can	can	AUX
cana-1706	197	73	work	work	VERB
cana-1706	197	74	on	on	ADP
cana-1706	197	75	making	make	VERB
cana-1706	197	76	the	the	DET
cana-1706	197	77	anomaly	anomaly	NOUN
cana-1706	197	78	detection	detection	NOUN
cana-1706	197	79	models	model	VERB
cana-1706	197	80	more	more	ADV
cana-1706	197	81	adaptable	adaptable	ADJ
cana-1706	197	82	to	to	ADP
cana-1706	197	83	iot	iot	ADJ
cana-1706	197	84	environments	environment	NOUN
cana-1706	197	85	.	.	PUNCT
cana-1706	198	1	most	most	ADJ
cana-1706	198	2	intrusion	intrusion	NOUN
cana-1706	198	3	detection	detection	NOUN
cana-1706	198	4	systems	system	NOUN
cana-1706	198	5	(	(	PUNCT
cana-1706	198	6	ids	id	NOUN
cana-1706	198	7	)	)	PUNCT
cana-1706	198	8	until	until	SCONJ
cana-1706	198	9	more	more	ADV
cana-1706	198	10	recently	recently	ADV
cana-1706	198	11	were	be	AUX
cana-1706	198	12	based	base	VERB
cana-1706	198	13	on	on	ADP
cana-1706	198	14	signature	signature	NOUN
cana-1706	198	15	in	in	ADP
cana-1706	198	16	the	the	DET
cana-1706	198	17	traditional	traditional	ADJ
cana-1706	198	18	way	way	NOUN
cana-1706	198	19	,	,	PUNCT
cana-1706	198	20	contain	contain	VERB
cana-1706	198	21	known	know	VERB
cana-1706	198	22	attack	attack	NOUN
cana-1706	198	23	patterns	pattern	NOUN
cana-1706	198	24	and	and	CCONJ
cana-1706	198	25	make	make	VERB
cana-1706	198	26	matching	match	VERB
cana-1706	198	27	analyses	analysis	NOUN
cana-1706	198	28	to	to	PART
cana-1706	198	29	detect	detect	VERB
cana-1706	198	30	similar	similar	ADJ
cana-1706	198	31	attacks	attack	NOUN
cana-1706	198	32	next	next	ADP
cana-1706	198	33	time	time	NOUN
cana-1706	198	34	.	.	PUNCT
cana-1706	199	1	these	these	DET
cana-1706	199	2	systems	system	NOUN
cana-1706	199	3	do	do	AUX
cana-1706	199	4	not	not	PART
cana-1706	199	5	provide	provide	VERB
cana-1706	199	6	any	any	DET
cana-1706	199	7	detection	detection	NOUN
cana-1706	199	8	of	of	ADP
cana-1706	199	9	zero	zero	NUM
cana-1706	199	10	-	-	PUNCT
cana-1706	199	11	day	day	NOUN
cana-1706	199	12	attacks	attack	NOUN
cana-1706	199	13	however	however	ADV
cana-1706	199	14	,	,	PUNCT
cana-1706	199	15	and	and	CCONJ
cana-1706	199	16	they	they	PRON
cana-1706	199	17	fail	fail	VERB
cana-1706	199	18	a	a	DET
cana-1706	199	19	broad	broad	ADJ
cana-1706	199	20	range	range	NOUN
cana-1706	199	21	of	of	ADP
cana-1706	199	22	modern	modern	ADJ
cana-1706	199	23	threats	threat	NOUN
cana-1706	199	24	for	for	ADP
cana-1706	199	25	similar	similar	ADJ
cana-1706	199	26	reasons	reason	NOUN
cana-1706	199	27	:	:	PUNCT
cana-1706	199	28	if	if	SCONJ
cana-1706	199	29	the	the	DET
cana-1706	199	30	signatures	signature	NOUN
cana-1706	199	31	are	be	AUX
cana-1706	199	32	not	not	PART
cana-1706	199	33	in	in	ADP
cana-1706	199	34	the	the	DET
cana-1706	199	35	database	database	NOUN
cana-1706	199	36	,	,	PUNCT
cana-1706	199	37	then	then	ADV
cana-1706	199	38	the	the	DET
cana-1706	199	39	threat	threat	NOUN
cana-1706	199	40	will	will	AUX
cana-1706	199	41	go	go	VERB
cana-1706	199	42	undetected	undetected	ADJ
cana-1706	199	43	.	.	PUNCT
cana-1706	200	1	many	many	ADJ
cana-1706	200	2	of	of	ADP
cana-1706	200	3	these	these	DET
cana-1706	200	4	limitations	limitation	NOUN
cana-1706	200	5	created	create	VERB
cana-1706	200	6	the	the	DET
cana-1706	200	7	demand	demand	NOUN
cana-1706	200	8	for	for	ADP
cana-1706	200	9	models	model	NOUN
cana-1706	200	10	to	to	PART
cana-1706	200	11	detect	detect	VERB
cana-1706	200	12	anomalies	anomaly	NOUN
cana-1706	200	13	,	,	PUNCT
cana-1706	200	14	such	such	ADJ
cana-1706	200	15	as	as	ADP
cana-1706	200	16	building	build	VERB
cana-1706	200	17	a	a	DET
cana-1706	200	18	baseline	baseline	NOUN
cana-1706	200	19	of	of	ADP
cana-1706	200	20	user	user	NOUN
cana-1706	200	21	behavior	behavior	NOUN
cana-1706	200	22	and	and	CCONJ
cana-1706	200	23	notifying	notify	VERB
cana-1706	200	24	admins	admin	NOUN
cana-1706	200	25	if	if	SCONJ
cana-1706	200	26	it	it	PRON
cana-1706	200	27	deviated	deviate	VERB
cana-1706	200	28	from	from	ADP
cana-1706	200	29	the	the	DET
cana-1706	200	30	norm	norm	NOUN
cana-1706	200	31	.	.	PUNCT
cana-1706	201	1	hybrid	hybrid	ADJ
cana-1706	201	2	models	model	NOUN
cana-1706	201	3	that	that	PRON
cana-1706	201	4	fuse	fuse	VERB
cana-1706	201	5	unsupervised	unsupervised	ADJ
cana-1706	201	6	learning	learning	NOUN
cana-1706	201	7	for	for	ADP
cana-1706	201	8	new	new	ADJ
cana-1706	201	9	anomalies	anomaly	NOUN
cana-1706	201	10	with	with	ADP
cana-1706	201	11	supervised	supervised	ADJ
cana-1706	201	12	learning	learning	NOUN
cana-1706	201	13	detecting	detect	VERB
cana-1706	201	14	known	known	ADJ
cana-1706	201	15	attacks	attack	NOUN
cana-1706	201	16	have	have	AUX
cana-1706	201	17	been	be	AUX
cana-1706	201	18	proposed	propose	VERB
cana-1706	201	19	in	in	ADP
cana-1706	201	20	a	a	DET
cana-1706	201	21	few	few	ADJ
cana-1706	201	22	works	work	NOUN
cana-1706	201	23	being	be	AUX
cana-1706	201	24	able	able	ADJ
cana-1706	201	25	to	to	PART
cana-1706	201	26	progress	progress	VERB
cana-1706	201	27	an	an	DET
cana-1706	201	28	accurate	accurate	ADJ
cana-1706	201	29	anomaly	anomaly	NOUN
cana-1706	201	30	detection	detection	NOUN
cana-1706	201	31	compared	compare	VERB
cana-1706	201	32	to	to	ADP
cana-1706	201	33	the	the	DET
cana-1706	201	34	approaches	approach	NOUN
cana-1706	201	35	in	in	ADP
cana-1706	201	36	2023	2023	NUM
cana-1706	201	37	.	.	PUNCT
cana-1706	202	1	one	one	NUM
cana-1706	202	2	of	of	ADP
cana-1706	202	3	them	they	PRON
cana-1706	202	4	is	be	AUX
cana-1706	202	5	the	the	DET
cana-1706	202	6	work	work	NOUN
cana-1706	202	7	of	of	ADP
cana-1706	202	8	liu	liu	PROPN
cana-1706	202	9	,	,	PUNCT
cana-1706	202	10	et	et	PROPN
cana-1706	202	11	al	al	PROPN
cana-1706	202	12	.	.	PROPN
cana-1706	203	1	(	(	PUNCT
cana-1706	203	2	2023	2023	NUM
cana-1706	203	3	)	)	PUNCT
cana-1706	203	4	,	,	PUNCT
cana-1706	203	5	in	in	ADP
cana-1706	203	6	which	which	PRON
cana-1706	203	7	the	the	DET
cana-1706	203	8	methodology	methodology	NOUN
cana-1706	203	9	is	be	AUX
cana-1706	203	10	summed	sum	VERB
cana-1706	203	11	up	up	ADP
cana-1706	203	12	through	through	ADP
cana-1706	203	13	ensemble	ensemble	ADJ
cana-1706	203	14	learning	learning	NOUN
cana-1706	203	15	model	model	NOUN
cana-1706	203	16	to	to	PART
cana-1706	203	17	get	get	VERB
cana-1706	203	18	more	more	ADV
cana-1706	203	19	accurate	accurate	ADJ
cana-1706	203	20	and	and	CCONJ
cana-1706	203	21	efficient	efficient	ADJ
cana-1706	203	22	high	high	ADJ
cana-1706	203	23	precision	precision	NOUN
cana-1706	203	24	about	about	ADP
cana-1706	203	25	all	all	DET
cana-1706	203	26	types	type	NOUN
cana-1706	203	27	of	of	ADP
cana-1706	203	28	large	large	ADJ
cana-1706	203	29	and	and	CCONJ
cana-1706	203	30	small	small	ADJ
cana-1706	203	31	scale	scale	NOUN
cana-1706	203	32	existing	exist	VERB
cana-1706	203	33	(	(	PUNCT
cana-1706	203	34	known	known	ADJ
cana-1706	203	35	)	)	PUNCT
cana-1706	203	36	anomalies	anomaly	NOUN
cana-1706	203	37	or	or	CCONJ
cana-1706	203	38	non	non	ADJ
cana-1706	203	39	-	-	ADJ
cana-1706	203	40	transparency	transparency	ADJ
cana-1706	203	41	anomalies(one	anomalies(one	NOUN
cana-1706	203	42	-	-	PUNCT
cana-1706	203	43	class	class	NOUN
cana-1706	203	44	,	,	PUNCT
cana-1706	203	45	zero	zero	NUM
cana-1706	203	46	-	-	PUNCT
cana-1706	203	47	day	day	NOUN
cana-1706	203	48	attacks	attack	NOUN
cana-1706	203	49	,	,	PUNCT
cana-1706	203	50	abnormal	abnormal	ADJ
cana-1706	203	51	trends	trend	NOUN
cana-1706	203	52	etc	etc	X
cana-1706	203	53	.	.	X
cana-1706	203	54	)	)	PUNCT
cana-1706	204	1	compared	compare	VERB
cana-1706	204	2	with	with	ADP
cana-1706	204	3	previous	previous	ADJ
cana-1706	204	4	studies	study	NOUN
cana-1706	204	5	for	for	ADP
cana-1706	204	6	iot	iot	ADJ
cana-1706	204	7	security	security	NOUN
cana-1706	204	8	matters	matter	NOUN
cana-1706	204	9	.	.	PUNCT
cana-1706	205	1	a	a	DET
cana-1706	205	2	study	study	NOUN
cana-1706	205	3	has	have	AUX
cana-1706	205	4	shown	show	VERB
cana-1706	205	5	that	that	SCONJ
cana-1706	205	6	a	a	DET
cana-1706	205	7	random	random	ADJ
cana-1706	205	8	forest	forest	NOUN
cana-1706	205	9	which	which	PRON
cana-1706	205	10	uses	use	VERB
cana-1706	205	11	an	an	DET
cana-1706	205	12	ensemble	ensemble	NOUN
cana-1706	205	13	of	of	ADP
cana-1706	205	14	classifiers	classifier	NOUN
cana-1706	205	15	(	(	PUNCT
cana-1706	205	16	such	such	ADJ
cana-1706	205	17	as	as	ADP
cana-1706	205	18	svm	svm	ADJ
cana-1706	205	19	,	,	PUNCT
cana-1706	205	20	neural	neural	ADJ
cana-1706	205	21	networks	network	NOUN
cana-1706	205	22	)	)	PUNCT
cana-1706	205	23	to	to	PART
cana-1706	205	24	take	take	VERB
cana-1706	205	25	advantage	advantage	NOUN
cana-1706	205	26	of	of	ADP
cana-1706	205	27	the	the	DET
cana-1706	205	28	increase	increase	NOUN
cana-1706	205	29	in	in	ADP
cana-1706	205	30	accuracy	accuracy	NOUN
cana-1706	205	31	from	from	ADP
cana-1706	205	32	each	each	DET
cana-1706	205	33	method	method	NOUN
cana-1706	205	34	.	.	PUNCT
cana-1706	206	1	such	such	DET
cana-1706	206	2	a	a	DET
cana-1706	206	3	hybrid	hybrid	NOUN
cana-1706	206	4	has	have	VERB
cana-1706	206	5	the	the	DET
cana-1706	206	6	potential	potential	NOUN
cana-1706	206	7	for	for	ADP
cana-1706	206	8	effective	effective	ADJ
cana-1706	206	9	protection	protection	NOUN
cana-1706	206	10	of	of	ADP
cana-1706	206	11	real	real	ADJ
cana-1706	206	12	-	-	PUNCT
cana-1706	206	13	time	time	NOUN
cana-1706	206	14	types	type	NOUN
cana-1706	206	15	of	of	ADP
cana-1706	206	16	iot	iot	ADJ
cana-1706	206	17	network	network	NOUN
cana-1706	206	18	attacks	attack	NOUN
cana-1706	206	19	,	,	PUNCT
cana-1706	206	20	due	due	ADP
cana-1706	206	21	to	to	ADP
cana-1706	206	22	its	its	PRON
cana-1706	206	23	coverage	coverage	NOUN
cana-1706	206	24	across	across	ADP
cana-1706	206	25	all	all	DET
cana-1706	206	26	attack	attack	NOUN
cana-1706	206	27	types[26	types[26	NOUN
cana-1706	206	28	]	]	PUNCT
cana-1706	206	29	.	.	PUNCT
cana-1706	207	1	deep	deep	ADJ
cana-1706	207	2	learning	learning	NOUN
cana-1706	207	3	models	model	NOUN
cana-1706	207	4	,	,	PUNCT
cana-1706	207	5	lstm	lstm	NOUN
cana-1706	207	6	networks	network	NOUN
cana-1706	207	7	and	and	CCONJ
cana-1706	207	8	cnn	cnn	PROPN
cana-1706	207	9	have	have	AUX
cana-1706	207	10	also	also	ADV
cana-1706	207	11	been	be	AUX
cana-1706	207	12	a	a	DET
cana-1706	207	13	key	key	ADJ
cana-1706	207	14	advancement	advancement	NOUN
cana-1706	207	15	in	in	ADP
cana-1706	207	16	this	this	DET
cana-1706	207	17	area	area	NOUN
cana-1706	207	18	applied	apply	VERB
cana-1706	207	19	for	for	ADP
cana-1706	207	20	iot	iot	PROPN
cana-1706	207	21	anomaly	anomaly	PROPN
cana-1706	207	22	detection	detection	NOUN
cana-1706	207	23	.	.	PUNCT
cana-1706	208	1	these	these	DET
cana-1706	208	2	models	model	NOUN
cana-1706	208	3	are	be	AUX
cana-1706	208	4	good	good	ADJ
cana-1706	208	5	at	at	ADP
cana-1706	208	6	handling	handle	VERB
cana-1706	208	7	sequential	sequential	ADJ
cana-1706	208	8	data	datum	NOUN
cana-1706	208	9	and	and	CCONJ
cana-1706	208	10	spatialtemporal	spatialtemporal	ADJ
cana-1706	208	11	patterns	pattern	NOUN
cana-1706	208	12	seen	see	VERB
cana-1706	208	13	in	in	ADP
cana-1706	208	14	iot	iot	ADJ
cana-1706	208	15	traffic	traffic	NOUN
cana-1706	208	16	.	.	PUNCT
cana-1706	209	1	deep	deep	ADJ
cana-1706	209	2	learning	learning	NOUN
cana-1706	209	3	models	model	NOUN
cana-1706	209	4	are	be	AUX
cana-1706	209	5	able	able	ADJ
cana-1706	209	6	to	to	PART
cana-1706	209	7	capture	capture	VERB
cana-1706	209	8	highly	highly	ADV
cana-1706	209	9	non	non	ADJ
cana-1706	209	10	-	-	ADJ
cana-1706	209	11	linear	linear	ADJ
cana-1706	209	12	relationships	relationship	NOUN
cana-1706	209	13	of	of	ADP
cana-1706	209	14	devices	device	NOUN
cana-1706	209	15	and	and	CCONJ
cana-1706	209	16	their	their	PRON
cana-1706	209	17	communications	communication	NOUN
cana-1706	209	18	which	which	PRON
cana-1706	209	19	allows	allow	VERB
cana-1706	209	20	for	for	ADP
cana-1706	209	21	better	well	ADJ
cana-1706	209	22	detection	detection	NOUN
cana-1706	209	23	of	of	ADP
cana-1706	209	24	subtle	subtle	ADJ
cana-1706	209	25	anomalies	anomaly	NOUN
cana-1706	209	26	which	which	PRON
cana-1706	209	27	can	can	AUX
cana-1706	209	28	not	not	PART
cana-1706	209	29	be	be	AUX
cana-1706	209	30	captured	capture	VERB
cana-1706	209	31	by	by	ADP
cana-1706	209	32	more	more	ADJ
cana-1706	209	33	traditional	traditional	ADJ
cana-1706	209	34	models	model	NOUN
cana-1706	209	35	,	,	PUNCT
cana-1706	209	36	however	however	ADV
cana-1706	209	37	the	the	DET
cana-1706	209	38	high	high	ADJ
cana-1706	209	39	computational	computational	ADJ
cana-1706	209	40	complexity	complexity	NOUN
cana-1706	209	41	required	require	VERB
cana-1706	209	42	to	to	PART
cana-1706	209	43	build	build	VERB
cana-1706	209	44	them	they	PRON
cana-1706	209	45	is	be	AUX
cana-1706	209	46	a	a	DET
cana-1706	209	47	significant	significant	ADJ
cana-1706	209	48	drawback	drawback	NOUN
cana-1706	209	49	when	when	SCONJ
cana-1706	209	50	it	it	PRON
cana-1706	209	51	comes	come	VERB
cana-1706	209	52	to	to	ADP
cana-1706	209	53	deploying	deploy	VERB
cana-1706	209	54	them	they	PRON
cana-1706	209	55	properly	properly	ADV
cana-1706	209	56	in	in	ADP
cana-1706	209	57	an	an	DET
cana-1706	209	58	iot	iot	ADJ
cana-1706	209	59	environment	environment	NOUN
cana-1706	209	60	as	as	ADP
cana-1706	209	61	constrained	constrain	VERB
cana-1706	209	62	devices	device	NOUN
cana-1706	209	63	with	with	ADP
cana-1706	209	64	limited	limited	ADJ
cana-1706	209	65	processing	processing	NOUN
cana-1706	209	66	power	power	NOUN
cana-1706	209	67	and	and	CCONJ
cana-1706	209	68	energy	energy	NOUN
cana-1706	209	69	are	be	AUX
cana-1706	209	70	not	not	PART
cana-1706	209	71	ideal	ideal	ADJ
cana-1706	209	72	devices	device	NOUN
cana-1706	209	73	to	to	PART
cana-1706	209	74	do	do	VERB
cana-1706	209	75	the	the	DET
cana-1706	209	76	job	job	NOUN
cana-1706	209	77	.	.	PUNCT
cana-1706	210	1	in	in	ADP
cana-1706	210	2	order	order	NOUN
cana-1706	210	3	to	to	PART
cana-1706	210	4	circumvent	circumvent	VERB
cana-1706	210	5	these	these	DET
cana-1706	210	6	limitations	limitation	NOUN
cana-1706	210	7	,	,	PUNCT
cana-1706	210	8	the	the	DET
cana-1706	210	9	researchers	researcher	NOUN
cana-1706	210	10	has	have	AUX
cana-1706	210	11	been	be	AUX
cana-1706	210	12	investigating	investigate	VERB
cana-1706	210	13	downsized	downsize	VERB
cana-1706	210	14	versions	version	NOUN
cana-1706	210	15	of	of	ADP
cana-1706	210	16	the	the	DET
cana-1706	210	17	deep	deep	ADJ
cana-1706	210	18	learning	learning	NOUN
cana-1706	210	19	models	model	NOUN
cana-1706	210	20	by	by	ADP
cana-1706	210	21	means	mean	NOUN
cana-1706	210	22	of	of	ADP
cana-1706	210	23	pruning	prune	VERB
cana-1706	210	24	techniques	technique	NOUN
cana-1706	210	25	and	and	CCONJ
cana-1706	210	26	knowledge	knowledge	NOUN
cana-1706	210	27	distillation	distillation	NOUN
cana-1706	210	28	.	.	PUNCT
cana-1706	211	1	for	for	ADP
cana-1706	211	2	on	on	ADP
cana-1706	211	3	-	-	PUNCT
cana-1706	211	4	device	device	NOUN
cana-1706	211	5	use	use	NOUN
cana-1706	211	6	cases	case	NOUN
cana-1706	211	7	,	,	PUNCT
cana-1706	211	8	this	this	PRON
cana-1706	211	9	is	be	AUX
cana-1706	211	10	specifically	specifically	ADV
cana-1706	211	11	useful	useful	ADJ
cana-1706	211	12	for	for	ADP
cana-1706	211	13	iot	iot	ADJ
cana-1706	211	14	devices	device	NOUN
cana-1706	211	15	,	,	PUNCT
cana-1706	211	16	this	this	DET
cana-1706	211	17	task	task	NOUN
cana-1706	211	18	of	of	ADP
cana-1706	211	19	transferring	transfer	VERB
cana-1706	211	20	knowledge	knowledge	NOUN
cana-1706	211	21	from	from	ADP
cana-1706	211	22	a	a	DET
cana-1706	211	23	big	big	ADJ
cana-1706	211	24	cumbersome	cumbersome	ADJ
cana-1706	211	25	model	model	NOUN
cana-1706	211	26	(	(	PUNCT
cana-1706	211	27	teacher	teacher	NOUN
cana-1706	211	28	)	)	PUNCT
cana-1706	211	29	to	to	ADP
cana-1706	211	30	a	a	DET
cana-1706	211	31	smaller	smaller	ADV
cana-1706	211	32	more	more	ADV
cana-1706	211	33	efficient	efficient	ADJ
cana-1706	211	34	one	one	NUM
cana-1706	211	35	(	(	PUNCT
cana-1706	211	36	student	student	NOUN
cana-1706	211	37	)	)	PUNCT
cana-1706	211	38	is	be	AUX
cana-1706	211	39	often	often	ADV
cana-1706	211	40	referred	refer	VERB
cana-1706	211	41	to	to	ADP
cana-1706	211	42	as	as	ADP
cana-1706	211	43	knowledge	knowledge	NOUN
cana-1706	211	44	distillation	distillation	NOUN
cana-1706	211	45	.	.	PUNCT
cana-1706	212	1	once	once	SCONJ
cana-1706	212	2	you	you	PRON
cana-1706	212	3	do	do	VERB
cana-1706	212	4	that	that	PRON
cana-1706	212	5	,	,	PUNCT
cana-1706	212	6	it	it	PRON
cana-1706	212	7	enables	enable	VERB
cana-1706	212	8	the	the	DET
cana-1706	212	9	deployment	deployment	NOUN
cana-1706	212	10	of	of	ADP
cana-1706	212	11	deep	deep	ADJ
cana-1706	212	12	learning	learning	NOUN
cana-1706	212	13	-	-	PUNCT
cana-1706	212	14	based	base	VERB
cana-1706	212	15	anomaly	anomaly	NOUN
cana-1706	212	16	detection	detection	NOUN
cana-1706	212	17	without	without	ADP
cana-1706	212	18	overloading	overload	VERB
cana-1706	212	19	the	the	DET
cana-1706	212	20	device	device	NOUN
cana-1706	212	21	.	.	PUNCT
cana-1706	213	1	balancing	balance	VERB
cana-1706	213	2	the	the	DET
cana-1706	213	3	trade	trade	NOUN
cana-1706	213	4	offs	off	NOUN
cana-1706	213	5	between	between	ADP
cana-1706	213	6	accuracy	accuracy	NOUN
cana-1706	213	7	and	and	CCONJ
cana-1706	213	8	efficiency	efficiency	NOUN
cana-1706	213	9	remains	remain	VERB
cana-1706	213	10	a	a	DET
cana-1706	213	11	critical	critical	ADJ
cana-1706	213	12	area	area	NOUN
cana-1706	213	13	of	of	ADP
cana-1706	213	14	research	research	NOUN
cana-1706	213	15	,	,	PUNCT
cana-1706	213	16	and	and	CCONJ
cana-1706	213	17	ongoing	ongoing	ADJ
cana-1706	213	18	work	work	NOUN
cana-1706	213	19	aims	aim	VERB
cana-1706	213	20	at	at	ADP
cana-1706	213	21	fine	fine	ADV
cana-1706	213	22	-	-	PUNCT
cana-1706	213	23	tuning	tune	VERB
cana-1706	213	24	these	these	DET
cana-1706	213	25	models	model	NOUN
cana-1706	213	26	for	for	ADP
cana-1706	213	27	iot	iot	ADJ
cana-1706	213	28	applications[27	applications[27	PROPN
cana-1706	213	29	]	]	PUNCT
cana-1706	213	30	.	.	PUNCT
cana-1706	214	1	in	in	ADP
cana-1706	214	2	iot	iot	PROPN
cana-1706	214	3	cybersecurity	cybersecurity	NOUN
cana-1706	214	4	,	,	PUNCT
cana-1706	214	5	optimization	optimization	NOUN
cana-1706	214	6	algorithms	algorithm	NOUN
cana-1706	214	7	are	be	AUX
cana-1706	214	8	essential	essential	ADJ
cana-1706	214	9	for	for	ADP
cana-1706	214	10	improving	improve	VERB
cana-1706	214	11	the	the	DET
cana-1706	214	12	performance	performance	NOUN
cana-1706	214	13	of	of	ADP
cana-1706	214	14	machine	machine	NOUN
cana-1706	214	15	learning	learning	NOUN
cana-1706	214	16	models	model	NOUN
cana-1706	214	17	.	.	PUNCT
cana-1706	215	1	more	more	ADJ
cana-1706	215	2	or	or	CCONJ
cana-1706	215	3	less	less	ADJ
cana-1706	215	4	this	this	PRON
cana-1706	215	5	is	be	AUX
cana-1706	215	6	due	due	ADJ
cana-1706	215	7	to	to	ADP
cana-1706	215	8	the	the	DET
cana-1706	215	9	default	default	NOUN
cana-1706	215	10	low	low	ADJ
cana-1706	215	11	resource	resource	NOUN
cana-1706	215	12	capacity	capacity	NOUN
cana-1706	215	13	in	in	ADP
cana-1706	215	14	iot	iot	PROPN
cana-1706	215	15	devices	device	NOUN
cana-1706	215	16	so	so	SCONJ
cana-1706	215	17	security	security	NOUN
cana-1706	215	18	measures	measure	NOUN
cana-1706	215	19	taken	take	VERB
cana-1706	215	20	should	should	AUX
cana-1706	215	21	be	be	AUX
cana-1706	215	22	efficient	efficient	ADJ
cana-1706	215	23	and	and	CCONJ
cana-1706	215	24	lightweight	lightweight	ADJ
cana-1706	215	25	.	.	PUNCT
cana-1706	216	1	there	there	PRON
cana-1706	216	2	are	be	VERB
cana-1706	216	3	many	many	ADJ
cana-1706	216	4	optimization	optimization	NOUN
cana-1706	216	5	techniques	technique	NOUN
cana-1706	216	6	in	in	ADP
cana-1706	216	7	machine	machine	NOUN
cana-1706	216	8	learning	learning	NOUN
cana-1706	216	9	,	,	PUNCT
cana-1706	216	10	genetic	genetic	ADJ
cana-1706	216	11	algorithm(ga	algorithm(ga	NOUN
cana-1706	216	12	)	)	PUNCT
cana-1706	216	13	,	,	PUNCT
cana-1706	216	14	particle	particle	NOUN
cana-1706	216	15	swarm	swarm	NOUN
cana-1706	216	16	optimization(pso	optimization(pso	NOUN
cana-1706	216	17	)	)	PUNCT
cana-1706	216	18	,	,	PUNCT
cana-1706	216	19	ant	ant	ADJ
cana-1706	216	20	colony	colony	NOUN
cana-1706	216	21	optimization(aco	optimization(aco	NOUN
cana-1706	216	22	)	)	PUNCT
cana-1706	216	23	etc	etc	X
cana-1706	216	24	.	.	X
cana-1706	216	25	,	,	PUNCT
cana-1706	216	26	which	which	PRON
cana-1706	216	27	help	help	VERB
cana-1706	216	28	to	to	ADP
cana-1706	216	29	fine	fine	ADJ
cana-1706	216	30	-	-	PUNCT
cana-1706	216	31	tune	tune	NOUN
cana-1706	216	32	the	the	DET
cana-1706	216	33	models	model	NOUN
cana-1706	216	34	for	for	ADP
cana-1706	216	35	good	good	ADJ
cana-1706	216	36	performance	performance	NOUN
cana-1706	216	37	with	with	ADP
cana-1706	216	38	optimum	optimum	ADJ
cana-1706	216	39	effect	effect	NOUN
cana-1706	216	40	of	of	ADP
cana-1706	216	41	system	system	NOUN
cana-1706	216	42	.	.	PUNCT
cana-1706	217	1	further	far	ADV
cana-1706	217	2	,	,	PUNCT
cana-1706	217	3	some	some	PRON
cana-1706	217	4	of	of	ADP
cana-1706	217	5	the	the	DET
cana-1706	217	6	recent	recent	ADJ
cana-1706	217	7	researches	research	NOUN
cana-1706	217	8	in	in	ADP
cana-1706	217	9	2023	2023	NUM
cana-1706	217	10	have	have	AUX
cana-1706	217	11	introduced	introduce	VERB
cana-1706	217	12	new	new	ADJ
cana-1706	217	13	optimization	optimization	NOUN
cana-1706	217	14	algorithms	algorithm	NOUN
cana-1706	217	15	which	which	PRON
cana-1706	217	16	are	be	AUX
cana-1706	217	17	developed	develop	VERB
cana-1706	217	18	exclusively	exclusively	ADV
cana-1706	217	19	for	for	ADP
cana-1706	217	20	iot	iot	ADJ
cana-1706	217	21	networks	network	NOUN
cana-1706	217	22	.	.	PUNCT
cana-1706	218	1	for	for	ADP
cana-1706	218	2	example	example	NOUN
cana-1706	218	3	,	,	PUNCT
cana-1706	218	4	last	last	ADJ
cana-1706	218	5	year	year	NOUN
cana-1706	218	6	zhao	zhao	PROPN
cana-1706	218	7	et	et	PROPN
cana-1706	218	8	al	al	PROPN
cana-1706	218	9	.	.	PROPN
cana-1706	218	10	published	publish	VERB
cana-1706	218	11	a	a	DET
cana-1706	218	12	paper	paper	NOUN
cana-1706	218	13	das	das	PROPN
cana-1706	218	14	et	et	NOUN
cana-1706	218	15	communications	communication	NOUN
cana-1706	218	16	on	on	ADP
cana-1706	218	17	applied	apply	VERB
cana-1706	218	18	nonlinear	nonlinear	ADJ
cana-1706	218	19	analysis	analysis	NOUN
cana-1706	218	20	issn	issn	NOUN
cana-1706	218	21	:	:	PUNCT
cana-1706	218	22	1074	1074	NUM
cana-1706	218	23	-	-	PUNCT
cana-1706	218	24	133x	133x	NUM
cana-1706	218	25	vol	vol	NOUN
cana-1706	218	26	32	32	NUM
cana-1706	218	27	no	no	NOUN
cana-1706	218	28	.	.	NOUN
cana-1706	218	29	2	2	NUM
cana-1706	218	30	(	(	PUNCT
cana-1706	218	31	2025	2025	NUM
cana-1706	218	32	)	)	PUNCT
cana-1706	218	33	38	38	NUM
cana-1706	218	34	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	218	35	al	al	PROPN
cana-1706	218	36	.	.	PROPN
cana-1706	219	1	(	(	PUNCT
cana-1706	219	2	2023	2023	NUM
cana-1706	219	3	)	)	PUNCT
cana-1706	219	4	incorporated	incorporate	VERB
cana-1706	219	5	the	the	DET
cana-1706	219	6	strategy	strategy	NOUN
cana-1706	219	7	of	of	ADP
cana-1706	219	8	adaptive	adaptive	ADJ
cana-1706	219	9	pso	pso	NOUN
cana-1706	219	10	which	which	PRON
cana-1706	219	11	varies	vary	VERB
cana-1706	219	12	its	its	PRON
cana-1706	219	13	parameters	parameter	NOUN
cana-1706	219	14	according	accord	VERB
cana-1706	219	15	to	to	ADP
cana-1706	219	16	threat	threat	NOUN
cana-1706	219	17	situation	situation	NOUN
cana-1706	219	18	in	in	ADP
cana-1706	219	19	the	the	DET
cana-1706	219	20	network	network	NOUN
cana-1706	219	21	.	.	PUNCT
cana-1706	220	1	when	when	SCONJ
cana-1706	220	2	the	the	DET
cana-1706	220	3	network	network	NOUN
cana-1706	220	4	is	be	AUX
cana-1706	220	5	being	be	AUX
cana-1706	220	6	attacked	attack	VERB
cana-1706	220	7	,	,	PUNCT
cana-1706	220	8	more	more	ADJ
cana-1706	220	9	resources	resource	NOUN
cana-1706	220	10	can	can	AUX
cana-1706	220	11	be	be	AUX
cana-1706	220	12	allocated	allocate	VERB
cana-1706	220	13	towards	towards	ADP
cana-1706	220	14	anomaly	anomaly	NOUN
cana-1706	220	15	detection	detection	NOUN
cana-1706	220	16	(	(	PUNCT
cana-1706	220	17	e.g.	e.g.	ADV
cana-1706	220	18	faster	fast	ADJ
cana-1706	220	19	and	and	CCONJ
cana-1706	220	20	larger	large	ADJ
cana-1706	220	21	unscaled	unscaled	ADJ
cana-1706	220	22	down	down	ADP
cana-1706	220	23	sampling	sample	VERB
cana-1706	220	24	rate	rate	NOUN
cana-1706	220	25	)	)	PUNCT
cana-1706	220	26	than	than	ADP
cana-1706	220	27	when	when	SCONJ
cana-1706	220	28	no	no	DET
cana-1706	220	29	attacks	attack	NOUN
cana-1706	220	30	are	be	AUX
cana-1706	220	31	detected	detect	VERB
cana-1706	220	32	to	to	PART
cana-1706	220	33	take	take	VERB
cana-1706	220	34	place	place	NOUN
cana-1706	220	35	,	,	PUNCT
cana-1706	220	36	then	then	ADV
cana-1706	220	37	less	less	ADJ
cana-1706	220	38	resources	resource	NOUN
cana-1706	220	39	(	(	PUNCT
cana-1706	220	40	faster	fast	ADJ
cana-1706	220	41	and	and	CCONJ
cana-1706	220	42	less	less	ADV
cana-1706	220	43	unscaled	unscaled	ADJ
cana-1706	220	44	down	down	ADP
cana-1706	220	45	rate	rate	NOUN
cana-1706	220	46	)	)	PUNCT
cana-1706	220	47	can	can	AUX
cana-1706	220	48	be	be	AUX
cana-1706	220	49	used	use	VERB
cana-1706	220	50	depending	depend	VERB
cana-1706	220	51	on	on	ADP
cana-1706	220	52	the	the	DET
cana-1706	220	53	threat	threat	NOUN
cana-1706	220	54	level	level	NOUN
cana-1706	220	55	at	at	ADP
cana-1706	220	56	that	that	DET
cana-1706	220	57	time	time	NOUN
cana-1706	220	58	.	.	PUNCT
cana-1706	221	1	the	the	DET
cana-1706	221	2	research	research	NOUN
cana-1706	221	3	also	also	ADV
cana-1706	221	4	showed	show	VERB
cana-1706	221	5	this	this	DET
cana-1706	221	6	form	form	NOUN
cana-1706	221	7	of	of	ADP
cana-1706	221	8	dynamic	dynamic	ADJ
cana-1706	221	9	resource	resource	NOUN
cana-1706	221	10	allocation	allocation	NOUN
cana-1706	221	11	cut	cut	VERB
cana-1706	221	12	false	false	ADJ
cana-1706	221	13	positives	positive	NOUN
cana-1706	221	14	,	,	PUNCT
cana-1706	221	15	a	a	DET
cana-1706	221	16	leading	lead	VERB
cana-1706	221	17	periodic	periodic	ADJ
cana-1706	221	18	issue	issue	NOUN
cana-1706	221	19	for	for	ADP
cana-1706	221	20	traditional	traditional	ADJ
cana-1706	221	21	abnormal	abnormal	ADJ
cana-1706	221	22	detection	detection	NOUN
cana-1706	221	23	models	model	NOUN
cana-1706	221	24	.	.	PUNCT
cana-1706	222	1	for	for	ADP
cana-1706	222	2	solving	solve	VERB
cana-1706	222	3	these	these	DET
cana-1706	222	4	complex	complex	ADJ
cana-1706	222	5	issues	issue	NOUN
cana-1706	222	6	,	,	PUNCT
cana-1706	222	7	researchers	researcher	NOUN
cana-1706	222	8	are	be	AUX
cana-1706	222	9	combining	combine	VERB
cana-1706	222	10	optimization	optimization	NOUN
cana-1706	222	11	techniques	technique	NOUN
cana-1706	222	12	with	with	ADP
cana-1706	222	13	machine	machine	NOUN
cana-1706	222	14	learning	learning	NOUN
cana-1706	222	15	models	model	NOUN
cana-1706	222	16	to	to	PART
cana-1706	222	17	achieve	achieve	VERB
cana-1706	222	18	better	well	ADJ
cana-1706	222	19	efficiency	efficiency	NOUN
cana-1706	222	20	and	and	CCONJ
cana-1706	222	21	accuracy	accuracy	NOUN
cana-1706	222	22	in	in	ADP
cana-1706	222	23	iot	iot	ADJ
cana-1706	222	24	security	security	NOUN
cana-1706	222	25	solutions	solution	NOUN
cana-1706	222	26	.	.	PUNCT
cana-1706	223	1	on	on	ADP
cana-1706	223	2	the	the	DET
cana-1706	223	3	other	other	ADJ
cana-1706	223	4	hand	hand	NOUN
cana-1706	223	5	,	,	PUNCT
cana-1706	223	6	swarm	swarm	NOUN
cana-1706	223	7	intelligent	intelligent	ADJ
cana-1706	223	8	optimization	optimization	NOUN
cana-1706	223	9	algorithms	algorithm	NOUN
cana-1706	223	10	(	(	PUNCT
cana-1706	223	11	e.	e.	PROPN
cana-1706	223	12	g.	g.	PROPN
cana-1706	223	13	,	,	PUNCT
cana-1706	223	14	ant	ant	ADJ
cana-1706	223	15	colony	colony	NOUN
cana-1706	223	16	optimization	optimization	NOUN
cana-1706	223	17	and	and	CCONJ
cana-1706	223	18	firefly	firefly	NOUN
cana-1706	223	19	algorithm	algorithm	PROPN
cana-1706	223	20	)	)	PUNCT
cana-1706	223	21	which	which	PRON
cana-1706	223	22	have	have	AUX
cana-1706	223	23	proven	prove	VERB
cana-1706	223	24	to	to	PART
cana-1706	223	25	be	be	AUX
cana-1706	223	26	useful	useful	ADJ
cana-1706	223	27	in	in	ADP
cana-1706	223	28	solving	solve	VERB
cana-1706	223	29	of	of	ADP
cana-1706	223	30	distributed	distribute	VERB
cana-1706	223	31	complex	complex	ADJ
cana-1706	223	32	problems	problem	NOUN
cana-1706	223	33	including	include	VERB
cana-1706	223	34	iot	iot	PROPN
cana-1706	223	35	networks	network	NOUN
cana-1706	223	36	due	due	ADP
cana-1706	223	37	to	to	ADP
cana-1706	223	38	their	their	PRON
cana-1706	223	39	decentralized	decentralize	VERB
cana-1706	223	40	nature	nature	NOUN
cana-1706	223	41	are	be	AUX
cana-1706	223	42	under	under	ADP
cana-1706	223	43	investigation	investigation	NOUN
cana-1706	223	44	.	.	PUNCT
cana-1706	224	1	these	these	DET
cana-1706	224	2	algorithms	algorithm	NOUN
cana-1706	224	3	though	though	ADV
cana-1706	224	4	,	,	PUNCT
cana-1706	224	5	behave	behave	VERB
cana-1706	224	6	collectively	collectively	ADV
cana-1706	224	7	like	like	ADP
cana-1706	224	8	social	social	ADJ
cana-1706	224	9	insects	insect	NOUN
cana-1706	224	10	(	(	PUNCT
cana-1706	224	11	ants	ant	NOUN
cana-1706	224	12	,	,	PUNCT
cana-1706	224	13	fireflies	firefly	NOUN
cana-1706	224	14	etc	etc	X
cana-1706	224	15	)	)	PUNCT
cana-1706	224	16	to	to	PART
cana-1706	224	17	get	get	VERB
cana-1706	224	18	the	the	DET
cana-1706	224	19	optimal	optimal	ADJ
cana-1706	224	20	solution	solution	NOUN
cana-1706	224	21	in	in	ADP
cana-1706	224	22	a	a	DET
cana-1706	224	23	distributed	distribute	VERB
cana-1706	224	24	approach	approach	NOUN
cana-1706	224	25	.	.	PUNCT
cana-1706	225	1	a	a	DET
cana-1706	225	2	distributed	distribute	VERB
cana-1706	225	3	architecture	architecture	NOUN
cana-1706	225	4	fits	fit	VERB
cana-1706	225	5	nicely	nicely	ADV
cana-1706	225	6	in	in	ADP
cana-1706	225	7	iot	iot	ADJ
cana-1706	225	8	networks	network	NOUN
cana-1706	225	9	,	,	PUNCT
cana-1706	225	10	with	with	SCONJ
cana-1706	225	11	each	each	DET
cana-1706	225	12	device	device	NOUN
cana-1706	225	13	autonomic	autonomic	ADJ
cana-1706	225	14	and	and	CCONJ
cana-1706	225	15	collaborative	collaborative	ADJ
cana-1706	225	16	to	to	PART
cana-1706	225	17	secure	secure	VERB
cana-1706	225	18	the	the	DET
cana-1706	225	19	network	network	NOUN
cana-1706	225	20	.	.	PUNCT
cana-1706	226	1	a	a	DET
cana-1706	226	2	study	study	NOUN
cana-1706	226	3	by	by	ADP
cana-1706	226	4	patel	patel	PROPN
cana-1706	226	5	et	et	PROPN
cana-1706	226	6	al	al	PROPN
cana-1706	226	7	.	.	PROPN
cana-1706	226	8	by	by	ADP
cana-1706	226	9	2023	2023	NUM
cana-1706	226	10	,	,	PUNCT
cana-1706	226	11	aco	aco	PROPN
cana-1706	226	12	has	have	AUX
cana-1706	226	13	in	in	ADP
cana-1706	226	14	practice	practice	NOUN
cana-1706	226	15	demonstrated	demonstrate	VERB
cana-1706	226	16	effectiveness	effectiveness	NOUN
cana-1706	226	17	for	for	ADP
cana-1706	226	18	its	its	PRON
cana-1706	226	19	original	original	ADJ
cana-1706	226	20	objective	objective	NOUN
cana-1706	226	21	;	;	PUNCT
cana-1706	226	22	optimization	optimization	NOUN
cana-1706	226	23	of	of	ADP
cana-1706	226	24	the	the	DET
cana-1706	226	25	routing	routing	NOUN
cana-1706	226	26	process	process	NOUN
cana-1706	226	27	of	of	ADP
cana-1706	226	28	iot	iot	PROPN
cana-1706	226	29	data	datum	NOUN
cana-1706	226	30	(	(	PUNCT
cana-1706	226	31	storesmark	storesmark	PROPN
cana-1706	226	32	ltd	ltd	PROPN
cana-1706	226	33	.	.	PROPN
cana-1706	226	34	,	,	PUNCT
cana-1706	226	35	2018	2018	NUM
cana-1706	226	36	)	)	PUNCT
cana-1706	226	37	,	,	PUNCT
cana-1706	226	38	meanwhile	meanwhile	ADV
cana-1706	226	39	securing	secure	VERB
cana-1706	226	40	the	the	DET
cana-1706	226	41	communication	communication	NOUN
cana-1706	226	42	(	(	PUNCT
cana-1706	226	43	preventing	prevent	VERB
cana-1706	226	44	traffic	traffic	NOUN
cana-1706	226	45	interception	interception	NOUN
cana-1706	226	46	)	)	PUNCT
cana-1706	226	47	between	between	ADP
cana-1706	226	48	devices	device	NOUN
cana-1706	226	49	and	and	CCONJ
cana-1706	226	50	makes	make	VERB
cana-1706	226	51	it	it	PRON
cana-1706	226	52	less	less	ADV
cana-1706	226	53	likely	likely	ADJ
cana-1706	226	54	for	for	ADP
cana-1706	226	55	data	datum	NOUN
cana-1706	226	56	compromise	compromise	NOUN
cana-1706	226	57	due	due	ADP
cana-1706	226	58	to	to	ADP
cana-1706	226	59	information	information	NOUN
cana-1706	226	60	technology	technology	NOUN
cana-1706	226	61	cyberspace	cyberspace	NOUN
cana-1706	226	62	attack	attack	NOUN
cana-1706	226	63	.	.	PUNCT
cana-1706	227	1	3	3	X
cana-1706	227	2	.	.	NUM
cana-1706	227	3	proposed	propose	VERB
cana-1706	227	4	methodology	methodology	NOUN
cana-1706	227	5	the	the	DET
cana-1706	227	6	approach	approach	NOUN
cana-1706	227	7	proposed	propose	VERB
cana-1706	227	8	for	for	ADP
cana-1706	227	9	boosting	boost	VERB
cana-1706	227	10	cybersecurity	cybersecurity	NOUN
cana-1706	227	11	in	in	ADP
cana-1706	227	12	iot	iot	PROPN
cana-1706	227	13	networks	network	NOUN
cana-1706	227	14	with	with	ADP
cana-1706	227	15	anomaly	anomaly	NOUN
cana-1706	227	16	prediction	prediction	NOUN
cana-1706	227	17	and	and	CCONJ
cana-1706	227	18	optimization	optimization	NOUN
cana-1706	227	19	based	base	VERB
cana-1706	227	20	on	on	ADP
cana-1706	227	21	machine	machine	NOUN
cana-1706	227	22	learning	learning	NOUN
cana-1706	227	23	are	be	AUX
cana-1706	227	24	designed	design	VERB
cana-1706	227	25	to	to	PART
cana-1706	227	26	work	work	VERB
cana-1706	227	27	around	around	ADP
cana-1706	227	28	the	the	DET
cana-1706	227	29	hurdles	hurdle	NOUN
cana-1706	227	30	presented	present	VERB
cana-1706	227	31	within	within	ADP
cana-1706	227	32	iot	iot	NOUN
cana-1706	227	33	.	.	PUNCT
cana-1706	228	1	the	the	DET
cana-1706	228	2	main	main	ADJ
cana-1706	228	3	goal	goal	NOUN
cana-1706	228	4	of	of	ADP
cana-1706	228	5	this	this	DET
cana-1706	228	6	approach	approach	NOUN
cana-1706	228	7	is	be	AUX
cana-1706	228	8	to	to	PART
cana-1706	228	9	build	build	VERB
cana-1706	228	10	a	a	DET
cana-1706	228	11	mathematical	mathematical	ADJ
cana-1706	228	12	model	model	NOUN
cana-1706	228	13	capable	capable	ADJ
cana-1706	228	14	of	of	ADP
cana-1706	228	15	enhancing	enhance	VERB
cana-1706	228	16	cyber	cyber	ADJ
cana-1706	228	17	security	security	NOUN
cana-1706	228	18	threat	threat	NOUN
cana-1706	228	19	detection	detection	NOUN
cana-1706	228	20	accuracy	accuracy	NOUN
cana-1706	228	21	by	by	ADP
cana-1706	228	22	maintaining	maintain	VERB
cana-1706	228	23	low	low	ADJ
cana-1706	228	24	false	false	ADJ
cana-1706	228	25	positives	positive	NOUN
cana-1706	228	26	and	and	CCONJ
cana-1706	228	27	exhibiting	exhibit	VERB
cana-1706	228	28	scalability	scalability	NOUN
cana-1706	228	29	,	,	PUNCT
cana-1706	228	30	adaptability	adaptability	NOUN
cana-1706	228	31	and	and	CCONJ
cana-1706	228	32	resource	resource	NOUN
cana-1706	228	33	constrained	constrain	VERB
cana-1706	228	34	iot	iot	ADJ
cana-1706	228	35	device	device	NOUN
cana-1706	228	36	efficiency	efficiency	NOUN
cana-1706	228	37	.	.	PUNCT
cana-1706	229	1	this	this	DET
cana-1706	229	2	approach	approach	NOUN
cana-1706	229	3	is	be	AUX
cana-1706	229	4	made	make	VERB
cana-1706	229	5	up	up	ADP
cana-1706	229	6	of	of	ADP
cana-1706	229	7	integrating	integrate	VERB
cana-1706	229	8	data	datum	NOUN
cana-1706	229	9	collection	collection	NOUN
cana-1706	229	10	and	and	CCONJ
cana-1706	229	11	preprocessing	preprocessing	NOUN
cana-1706	229	12	,	,	PUNCT
cana-1706	229	13	anomaly	anomaly	NOUN
cana-1706	229	14	discovery	discovery	NOUN
cana-1706	229	15	using	use	VERB
cana-1706	229	16	machine	machine	NOUN
cana-1706	229	17	learning	learning	NOUN
cana-1706	229	18	algorithms	algorithm	NOUN
cana-1706	229	19	,	,	PUNCT
cana-1706	229	20	performance	performance	NOUN
cana-1706	229	21	improvement	improvement	NOUN
cana-1706	229	22	with	with	ADP
cana-1706	229	23	optimization	optimization	NOUN
cana-1706	229	24	algorithms	algorithm	NOUN
cana-1706	229	25	,	,	PUNCT
cana-1706	229	26	in	in	ADP
cana-1706	229	27	addition	addition	NOUN
cana-1706	229	28	to	to	ADP
cana-1706	229	29	the	the	DET
cana-1706	229	30	deployment	deployment	NOUN
cana-1706	229	31	in	in	ADP
cana-1706	229	32	edge	edge	NOUN
cana-1706	229	33	/	/	SYM
cana-1706	229	34	cloud	cloud	NOUN
cana-1706	229	35	computing	computing	NOUN
cana-1706	229	36	platforms	platform	NOUN
cana-1706	229	37	for	for	ADP
cana-1706	229	38	real	real	ADJ
cana-1706	229	39	-	-	PUNCT
cana-1706	229	40	time	time	NOUN
cana-1706	229	41	processing	processing	NOUN
cana-1706	229	42	.	.	PUNCT
cana-1706	230	1	every	every	DET
cana-1706	230	2	element	element	NOUN
cana-1706	230	3	of	of	ADP
cana-1706	230	4	the	the	DET
cana-1706	230	5	methodology	methodology	NOUN
cana-1706	230	6	is	be	AUX
cana-1706	230	7	engineered	engineer	VERB
cana-1706	230	8	specifically	specifically	ADV
cana-1706	230	9	to	to	PART
cana-1706	230	10	work	work	VERB
cana-1706	230	11	well	well	ADV
cana-1706	230	12	with	with	ADP
cana-1706	230	13	iot	iot	PROPN
cana-1706	230	14	networks	network	NOUN
cana-1706	230	15	,	,	PUNCT
cana-1706	230	16	forming	form	VERB
cana-1706	230	17	itself	itself	PRON
cana-1706	230	18	into	into	ADP
cana-1706	230	19	a	a	DET
cana-1706	230	20	strong	strong	ADJ
cana-1706	230	21	and	and	CCONJ
cana-1706	230	22	dynamic	dynamic	ADJ
cana-1706	230	23	security	security	NOUN
cana-1706	230	24	approach	approach	NOUN
cana-1706	230	25	which	which	PRON
cana-1706	230	26	can	can	AUX
cana-1706	230	27	identify	identify	VERB
cana-1706	230	28	and	and	CCONJ
cana-1706	230	29	nullify	nullify	VERB
cana-1706	230	30	new	new	ADJ
cana-1706	230	31	as	as	ADV
cana-1706	230	32	well	well	ADV
cana-1706	230	33	changing	change	VERB
cana-1706	230	34	cyber	cyber	NOUN
cana-1706	230	35	threats	threat	NOUN
cana-1706	230	36	outside	outside	ADV
cana-1706	230	37	in	in	ADP
cana-1706	230	38	less	less	ADJ
cana-1706	230	39	than	than	ADP
cana-1706	230	40	an	an	DET
cana-1706	230	41	hour	hour	NOUN
cana-1706	230	42	.	.	NOUN
cana-1706	231	1	1	1	X
cana-1706	231	2	.	.	X
cana-1706	231	3	data	datum	NOUN
cana-1706	231	4	collection	collection	PROPN
cana-1706	231	5	&	&	CCONJ
cana-1706	231	6	pre	pre	ADJ
cana-1706	231	7	-	-	ADJ
cana-1706	231	8	processing	processing	ADJ
cana-1706	231	9	proposed	propose	VERB
cana-1706	231	10	methodology	methodology	NOUN
cana-1706	231	11	the	the	DET
cana-1706	231	12	first	first	ADJ
cana-1706	231	13	activity	activity	NOUN
cana-1706	231	14	in	in	ADP
cana-1706	231	15	the	the	DET
cana-1706	231	16	purposed	purpose	VERB
cana-1706	231	17	methodology	methodology	NOUN
cana-1706	231	18	is	be	AUX
cana-1706	231	19	data	datum	NOUN
cana-1706	231	20	collecting	collecting	NOUN
cana-1706	231	21	and	and	CCONJ
cana-1706	231	22	preprocess	preprocess	NOUN
cana-1706	231	23	iot	iot	NOUN
cana-1706	231	24	data	datum	NOUN
cana-1706	231	25	to	to	PART
cana-1706	231	26	build	build	VERB
cana-1706	231	27	detecting	detect	VERB
cana-1706	231	28	anomaly	anomaly	NOUN
cana-1706	231	29	.	.	PUNCT
cana-1706	232	1	the	the	DET
cana-1706	232	2	supply	supply	NOUN
cana-1706	232	3	chain	chain	NOUN
cana-1706	232	4	of	of	ADP
cana-1706	232	5	data	datum	NOUN
cana-1706	232	6	in	in	ADP
cana-1706	232	7	iot	iot	PROPN
cana-1706	232	8	consists	consist	NOUN
cana-1706	232	9	of	of	ADP
cana-1706	232	10	iot	iot	NOUN
cana-1706	232	11	applications	application	NOUN
cana-1706	232	12	streaming	stream	VERB
cana-1706	232	13	and	and	CCONJ
cana-1706	232	14	collecting	collect	VERB
cana-1706	232	15	a	a	DET
cana-1706	232	16	vast	vast	ADJ
cana-1706	232	17	amount	amount	NOUN
cana-1706	232	18	of	of	ADP
cana-1706	232	19	real	real	ADJ
cana-1706	232	20	-	-	PUNCT
cana-1706	232	21	time	time	NOUN
cana-1706	232	22	data	datum	NOUN
cana-1706	232	23	that	that	PRON
cana-1706	232	24	is	be	AUX
cana-1706	232	25	both	both	DET
cana-1706	232	26	time	time	NOUN
cana-1706	232	27	-	-	PUNCT
cana-1706	232	28	series	series	NOUN
cana-1706	232	29	logs	log	VERB
cana-1706	232	30	from	from	ADP
cana-1706	232	31	devices	device	NOUN
cana-1706	232	32	,	,	PUNCT
cana-1706	232	33	network	network	NOUN
cana-1706	232	34	transit	transit	NOUN
cana-1706	232	35	information	information	NOUN
cana-1706	232	36	,	,	PUNCT
cana-1706	232	37	sensor	sensor	NOUN
cana-1706	232	38	readings	reading	NOUN
cana-1706	232	39	as	as	ADV
cana-1706	232	40	well	well	ADV
cana-1706	232	41	as	as	ADP
cana-1706	232	42	user	user	NOUN
cana-1706	232	43	activity	activity	NOUN
cana-1706	232	44	patterns	pattern	NOUN
cana-1706	232	45	.	.	PUNCT
cana-1706	233	1	iot	iot	PROPN
cana-1706	233	2	networks	network	NOUN
cana-1706	233	3	are	be	AUX
cana-1706	233	4	heterogeneous	heterogeneous	ADJ
cana-1706	233	5	by	by	ADP
cana-1706	233	6	design	design	NOUN
cana-1706	233	7	as	as	SCONJ
cana-1706	233	8	they	they	PRON
cana-1706	233	9	accommodate	accommodate	VERB
cana-1706	233	10	a	a	DET
cana-1706	233	11	mix	mix	NOUN
cana-1706	233	12	of	of	ADP
cana-1706	233	13	devices	device	NOUN
cana-1706	233	14	that	that	PRON
cana-1706	233	15	range	range	VERB
cana-1706	233	16	from	from	ADP
cana-1706	233	17	low	low	ADJ
cana-1706	233	18	complexity	complexity	NOUN
cana-1706	233	19	sensors	sensor	NOUN
cana-1706	233	20	to	to	ADP
cana-1706	233	21	high	high	ADJ
cana-1706	233	22	complexity	complexity	NOUN
cana-1706	233	23	systems	system	NOUN
cana-1706	233	24	such	such	ADJ
cana-1706	233	25	as	as	ADP
cana-1706	233	26	autonomous	autonomous	ADJ
cana-1706	233	27	vehicles	vehicle	NOUN
cana-1706	233	28	,	,	PUNCT
cana-1706	233	29	industrial	industrial	ADJ
cana-1706	233	30	machinery	machinery	NOUN
cana-1706	233	31	and	and	CCONJ
cana-1706	233	32	medical	medical	ADJ
cana-1706	233	33	devices	device	NOUN
cana-1706	233	34	.	.	PUNCT
cana-1706	234	1	so	so	ADV
cana-1706	234	2	,	,	PUNCT
cana-1706	234	3	the	the	DET
cana-1706	234	4	model	model	NOUN
cana-1706	234	5	should	should	AUX
cana-1706	234	6	be	be	AUX
cana-1706	234	7	able	able	ADJ
cana-1706	234	8	to	to	PART
cana-1706	234	9	capturing	capture	VERB
cana-1706	234	10	data	datum	NOUN
cana-1706	234	11	from	from	ADP
cana-1706	234	12	each	each	PRON
cana-1706	234	13	of	of	ADP
cana-1706	234	14	those	those	DET
cana-1706	234	15	unique	unique	ADJ
cana-1706	234	16	devices	device	NOUN
cana-1706	234	17	they	they	PRON
cana-1706	234	18	way	way	VERB
cana-1706	234	19	that	that	PRON
cana-1706	234	20	reflects	reflect	VERB
cana-1706	234	21	what	what	PRON
cana-1706	234	22	only	only	ADV
cana-1706	234	23	those	those	DET
cana-1706	234	24	devices	device	NOUN
cana-1706	234	25	bring	bring	VERB
cana-1706	234	26	to	to	ADP
cana-1706	234	27	the	the	DET
cana-1706	234	28	table	table	NOUN
cana-1706	234	29	.	.	PUNCT
cana-1706	235	1	𝑋′	𝑋′	X
cana-1706	235	2	=	=	PUNCT
cana-1706	235	3	𝑋	𝑋	PROPN
cana-1706	235	4	−	−	PROPN
cana-1706	235	5	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
cana-1706	235	6	𝑋𝑚𝑎𝑥	𝑋𝑚𝑎𝑥	PROPN
cana-1706	235	7	−	−	PROPN
cana-1706	235	8	𝑋𝑚𝑖𝑛	𝑋𝑚𝑖𝑛	PROPN
cana-1706	235	9	communications	communication	NOUN
cana-1706	235	10	on	on	ADP
cana-1706	235	11	applied	apply	VERB
cana-1706	235	12	nonlinear	nonlinear	ADJ
cana-1706	235	13	analysis	analysis	NOUN
cana-1706	235	14	issn	issn	NOUN
cana-1706	235	15	:	:	PUNCT
cana-1706	235	16	1074	1074	NUM
cana-1706	235	17	-	-	PUNCT
cana-1706	235	18	133x	133x	NUM
cana-1706	235	19	vol	vol	NOUN
cana-1706	235	20	32	32	NUM
cana-1706	235	21	no	no	NOUN
cana-1706	235	22	.	.	NOUN
cana-1706	235	23	2	2	NUM
cana-1706	235	24	(	(	PUNCT
cana-1706	235	25	2025	2025	NUM
cana-1706	235	26	)	)	PUNCT
cana-1706	235	27	39	39	NUM
cana-1706	235	28	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	235	29	data	datum	NOUN
cana-1706	235	30	is	be	AUX
cana-1706	235	31	collected	collect	VERB
cana-1706	235	32	in	in	ADP
cana-1706	235	33	a	a	DET
cana-1706	235	34	multiple	multiple	ADJ
cana-1706	235	35	places	place	NOUN
cana-1706	235	36	within	within	ADP
cana-1706	235	37	the	the	DET
cana-1706	235	38	iot	iot	PROPN
cana-1706	235	39	ecosystem	ecosystem	NOUN
cana-1706	235	40	,	,	PUNCT
cana-1706	235	41	from	from	ADP
cana-1706	235	42	the	the	DET
cana-1706	235	43	device	device	NOUN
cana-1706	235	44	level	level	NOUN
cana-1706	235	45	to	to	ADP
cana-1706	235	46	network	network	NOUN
cana-1706	235	47	level	level	NOUN
cana-1706	235	48	and	and	CCONJ
cana-1706	235	49	across	across	ADP
cana-1706	235	50	cloud	cloud	NOUN
cana-1706	235	51	or	or	CCONJ
cana-1706	235	52	edge	edge	NOUN
cana-1706	235	53	computing	computing	NOUN
cana-1706	235	54	infrastructures	infrastructure	NOUN
cana-1706	235	55	.	.	PUNCT
cana-1706	236	1	𝑍	𝑍	NOUN
cana-1706	236	2	=	=	SYM
cana-1706	236	3	𝑋𝑊	𝑋𝑊	NOUN
cana-1706	236	4	the	the	DET
cana-1706	236	5	proposed	propose	VERB
cana-1706	236	6	methodology	methodology	NOUN
cana-1706	236	7	is	be	AUX
cana-1706	236	8	abstract	abstract	ADJ
cana-1706	236	9	and	and	CCONJ
cana-1706	236	10	can	can	AUX
cana-1706	236	11	fetch	fetch	VERB
cana-1706	236	12	the	the	DET
cana-1706	236	13	data	datum	NOUN
cana-1706	236	14	from	from	ADP
cana-1706	236	15	all	all	DET
cana-1706	236	16	the	the	DET
cana-1706	236	17	resourceful	resourceful	ADJ
cana-1706	236	18	entities	entity	NOUN
cana-1706	236	19	to	to	PART
cana-1706	236	20	build	build	VERB
cana-1706	236	21	a	a	DET
cana-1706	236	22	closed	closed	ADJ
cana-1706	236	23	loop	loop	NOUN
cana-1706	236	24	security	security	NOUN
cana-1706	236	25	monitoring	monitoring	NOUN
cana-1706	236	26	.	.	PUNCT
cana-1706	237	1	this	this	DET
cana-1706	237	2	data	data	NOUN
cana-1706	237	3	gives	give	VERB
cana-1706	237	4	the	the	DET
cana-1706	237	5	context	context	NOUN
cana-1706	237	6	needed	need	VERB
cana-1706	237	7	to	to	PART
cana-1706	237	8	begin	begin	VERB
cana-1706	237	9	monitoring	monitor	VERB
cana-1706	237	10	for	for	ADP
cana-1706	237	11	those	those	DET
cana-1706	237	12	abnormal	abnormal	ADJ
cana-1706	237	13	behaviors	behavior	NOUN
cana-1706	237	14	that	that	PRON
cana-1706	237	15	could	could	AUX
cana-1706	237	16	indicate	indicate	VERB
cana-1706	237	17	potential	potential	ADJ
cana-1706	237	18	security	security	NOUN
cana-1706	237	19	threats	threat	NOUN
cana-1706	237	20	.	.	PUNCT
cana-1706	238	1	after	after	ADP
cana-1706	238	2	collecting	collect	VERB
cana-1706	238	3	data	datum	NOUN
cana-1706	238	4	,	,	PUNCT
cana-1706	238	5	the	the	DET
cana-1706	238	6	data	data	NOUN
cana-1706	238	7	has	have	VERB
cana-1706	238	8	to	to	PART
cana-1706	238	9	be	be	AUX
cana-1706	238	10	preprocessed	preprocesse	VERB
cana-1706	238	11	so	so	SCONJ
cana-1706	238	12	that	that	SCONJ
cana-1706	238	13	it	it	PRON
cana-1706	238	14	can	can	AUX
cana-1706	238	15	be	be	AUX
cana-1706	238	16	used	use	VERB
cana-1706	238	17	with	with	ADP
cana-1706	238	18	machine	machine	NOUN
cana-1706	238	19	learning	learning	NOUN
cana-1706	238	20	algorithms	algorithm	NOUN
cana-1706	238	21	.	.	PUNCT
cana-1706	239	1	this	this	PRON
cana-1706	239	2	is	be	AUX
cana-1706	239	3	achieved	achieve	VERB
cana-1706	239	4	through	through	ADP
cana-1706	239	5	a	a	DET
cana-1706	239	6	several	several	ADJ
cana-1706	239	7	steps	step	NOUN
cana-1706	239	8	process	process	NOUN
cana-1706	239	9	—	—	PUNCT
cana-1706	239	10	data	datum	NOUN
cana-1706	239	11	normalization	normalization	NOUN
cana-1706	239	12	,	,	PUNCT
cana-1706	239	13	feature	feature	NOUN
cana-1706	239	14	extraction	extraction	NOUN
cana-1706	239	15	,	,	PUNCT
cana-1706	239	16	reduction	reduction	NOUN
cana-1706	239	17	of	of	ADP
cana-1706	239	18	noise	noise	NOUN
cana-1706	239	19	.	.	PUNCT
cana-1706	240	1	this	this	DET
cana-1706	240	2	normalization	normalization	NOUN
cana-1706	240	3	of	of	ADP
cana-1706	240	4	data	datum	NOUN
cana-1706	240	5	becomes	become	VERB
cana-1706	240	6	critical	critical	ADJ
cana-1706	240	7	in	in	ADP
cana-1706	240	8	iot	iot	ADJ
cana-1706	240	9	networks	network	NOUN
cana-1706	240	10	where	where	SCONJ
cana-1706	240	11	devices	device	NOUN
cana-1706	240	12	have	have	VERB
cana-1706	240	13	different	different	ADJ
cana-1706	240	14	capabilities	capability	NOUN
cana-1706	240	15	and	and	CCONJ
cana-1706	240	16	generate	generate	VERB
cana-1706	240	17	data	datum	NOUN
cana-1706	240	18	at	at	ADP
cana-1706	240	19	scale	scale	NOUN
cana-1706	240	20	.	.	PUNCT
cana-1706	241	1	for	for	ADP
cana-1706	241	2	example	example	NOUN
cana-1706	241	3	,	,	PUNCT
cana-1706	241	4	a	a	DET
cana-1706	241	5	temperature	temperature	NOUN
cana-1706	241	6	sensor	sensor	NOUN
cana-1706	241	7	could	could	AUX
cana-1706	241	8	return	return	VERB
cana-1706	241	9	values	value	NOUN
cana-1706	241	10	from	from	ADP
cana-1706	241	11	a	a	DET
cana-1706	241	12	set	set	ADJ
cana-1706	241	13	range	range	NOUN
cana-1706	241	14	whereas	whereas	SCONJ
cana-1706	241	15	,	,	PUNCT
cana-1706	241	16	on	on	ADP
cana-1706	241	17	the	the	DET
cana-1706	241	18	other	other	ADJ
cana-1706	241	19	side	side	NOUN
cana-1706	241	20	,	,	PUNCT
cana-1706	241	21	there	there	PRON
cana-1706	241	22	are	be	VERB
cana-1706	241	23	more	more	ADV
cana-1706	241	24	complex	complex	ADJ
cana-1706	241	25	devices	device	NOUN
cana-1706	241	26	like	like	ADP
cana-1706	241	27	smart	smart	ADJ
cana-1706	241	28	cameras	camera	NOUN
cana-1706	241	29	where	where	SCONJ
cana-1706	241	30	data	datum	NOUN
cana-1706	241	31	patterns	pattern	NOUN
cana-1706	241	32	have	have	VERB
cana-1706	241	33	higher	high	ADJ
cana-1706	241	34	complexity	complexity	NOUN
cana-1706	241	35	.	.	PUNCT
cana-1706	242	1	this	this	DET
cana-1706	242	2	method	method	NOUN
cana-1706	242	3	normalizes	normalize	VERB
cana-1706	242	4	the	the	DET
cana-1706	242	5	data	datum	NOUN
cana-1706	242	6	so	so	SCONJ
cana-1706	242	7	that	that	SCONJ
cana-1706	242	8	machine	machine	NOUN
cana-1706	242	9	learning	learning	NOUN
cana-1706	242	10	models	model	NOUN
cana-1706	242	11	can	can	AUX
cana-1706	242	12	precisely	precisely	ADV
cana-1706	242	13	decipher	decipher	ADV
cana-1706	242	14	these	these	DET
cana-1706	242	15	streams	stream	NOUN
cana-1706	242	16	of	of	ADP
cana-1706	242	17	incoming	incoming	ADJ
cana-1706	242	18	data	datum	NOUN
cana-1706	242	19	.	.	PUNCT
cana-1706	243	1	2	2	X
cana-1706	243	2	.	.	X
cana-1706	243	3	using	use	VERB
cana-1706	243	4	machine	machine	NOUN
cana-1706	243	5	learning	learn	VERB
cana-1706	243	6	to	to	PART
cana-1706	243	7	detect	detect	VERB
cana-1706	243	8	anomalies	anomaly	NOUN
cana-1706	243	9	at	at	ADP
cana-1706	243	10	the	the	DET
cana-1706	243	11	center	center	NOUN
cana-1706	243	12	of	of	ADP
cana-1706	243	13	the	the	DET
cana-1706	243	14	proposed	propose	VERB
cana-1706	243	15	approach	approach	NOUN
cana-1706	243	16	,	,	PUNCT
cana-1706	243	17	mechanisms	mechanism	NOUN
cana-1706	243	18	are	be	AUX
cana-1706	243	19	machine	machine	NOUN
cana-1706	243	20	learning	learn	VERB
cana-1706	243	21	anomaly	anomaly	NOUN
cana-1706	243	22	detection	detection	NOUN
cana-1706	243	23	models	model	NOUN
cana-1706	243	24	tracking	track	VERB
cana-1706	243	25	deviations	deviation	NOUN
cana-1706	243	26	from	from	ADP
cana-1706	243	27	normal	normal	ADJ
cana-1706	243	28	in	in	ADP
cana-1706	243	29	iot	iot	PROPN
cana-1706	243	30	networks	network	NOUN
cana-1706	243	31	.	.	PUNCT
cana-1706	244	1	there	there	PRON
cana-1706	244	2	are	be	VERB
cana-1706	244	3	several	several	ADJ
cana-1706	244	4	types	type	NOUN
cana-1706	244	5	of	of	ADP
cana-1706	244	6	anomalies	anomaly	NOUN
cana-1706	244	7	that	that	PRON
cana-1706	244	8	may	may	AUX
cana-1706	244	9	manifest	manifest	VERB
cana-1706	244	10	themselves	themselves	PRON
cana-1706	244	11	within	within	ADP
cana-1706	244	12	an	an	DET
cana-1706	244	13	iot	iot	ADJ
cana-1706	244	14	network	network	NOUN
cana-1706	244	15	irregular	irregular	ADJ
cana-1706	244	16	increases	increase	NOUN
cana-1706	244	17	in	in	ADP
cana-1706	244	18	network	network	NOUN
cana-1706	244	19	traffic	traffic	NOUN
cana-1706	244	20	,	,	PUNCT
cana-1706	244	21	login	login	NOUN
cana-1706	244	22	attempts	attempt	NOUN
cana-1706	244	23	from	from	ADP
cana-1706	244	24	unauthorized	unauthorized	ADJ
cana-1706	244	25	users	user	NOUN
cana-1706	244	26	or	or	CCONJ
cana-1706	244	27	unusual	unusual	ADJ
cana-1706	244	28	behavior	behavior	NOUN
cana-1706	244	29	from	from	ADP
cana-1706	244	30	devices	device	NOUN
cana-1706	244	31	.	.	PUNCT
cana-1706	245	1	identifying	identify	VERB
cana-1706	245	2	these	these	DET
cana-1706	245	3	anomalies	anomaly	NOUN
cana-1706	245	4	needs	need	VERB
cana-1706	245	5	a	a	DET
cana-1706	245	6	model	model	NOUN
cana-1706	245	7	which	which	PRON
cana-1706	245	8	is	be	AUX
cana-1706	245	9	strong	strong	ADJ
cana-1706	245	10	enough	enough	ADV
cana-1706	245	11	to	to	PART
cana-1706	245	12	distinguish	distinguish	VERB
cana-1706	245	13	between	between	ADP
cana-1706	245	14	wide	wide	ADJ
cana-1706	245	15	range	range	NOUN
cana-1706	245	16	of	of	ADP
cana-1706	245	17	variations	variation	NOUN
cana-1706	245	18	in	in	ADP
cana-1706	245	19	device	device	NOUN
cana-1706	245	20	activity	activity	NOUN
cana-1706	245	21	and	and	CCONJ
cana-1706	245	22	possibility	possibility	NOUN
cana-1706	245	23	of	of	ADP
cana-1706	245	24	security	security	NOUN
cana-1706	245	25	threats	threat	NOUN
cana-1706	245	26	.	.	PUNCT
cana-1706	246	1	𝑑(𝑥	𝑑(𝑥	PROPN
cana-1706	246	2	,	,	PUNCT
cana-1706	246	3	𝜇	𝜇	X
cana-1706	246	4	)	)	PUNCT
cana-1706	246	5	=	=	SYM
cana-1706	246	6	√∑	√∑	NOUN
cana-1706	246	7	𝑛	𝑛	X
cana-1706	246	8	𝑖=1	𝑖=1	PROPN
cana-1706	246	9	(	(	PUNCT
cana-1706	246	10	𝑥𝑖	𝑥𝑖	NUM
cana-1706	246	11	−	−	PROPN
cana-1706	246	12	𝜇𝑖)2	𝜇𝑖)2	PROPN
cana-1706	246	13	the	the	DET
cana-1706	246	14	method	method	NOUN
cana-1706	246	15	suggested	suggest	VERB
cana-1706	246	16	for	for	ADP
cana-1706	246	17	detection	detection	NOUN
cana-1706	246	18	of	of	ADP
cana-1706	246	19	anomalies	anomaly	NOUN
cana-1706	246	20	is	be	AUX
cana-1706	246	21	a	a	DET
cana-1706	246	22	combination	combination	NOUN
cana-1706	246	23	of	of	ADP
cana-1706	246	24	supervised	supervised	ADJ
cana-1706	246	25	and	and	CCONJ
cana-1706	246	26	unsupervised	unsupervised	ADJ
cana-1706	246	27	machine	machine	NOUN
cana-1706	246	28	learning	learning	NOUN
cana-1706	246	29	models	model	NOUN
cana-1706	246	30	.	.	PUNCT
cana-1706	247	1	with	with	ADP
cana-1706	247	2	supervised	supervised	ADJ
cana-1706	247	3	learning	learning	NOUN
cana-1706	247	4	models	model	NOUN
cana-1706	247	5	(	(	PUNCT
cana-1706	247	6	e.g.	e.g.	ADV
cana-1706	247	7	,	,	PUNCT
cana-1706	247	8	svm	svm	ADJ
cana-1706	247	9	,	,	PUNCT
cana-1706	247	10	random	random	ADJ
cana-1706	247	11	forests	forest	NOUN
cana-1706	247	12	and	and	CCONJ
cana-1706	247	13	neural	neural	ADJ
cana-1706	247	14	networks	network	NOUN
cana-1706	247	15	)	)	PUNCT
cana-1706	247	16	the	the	DET
cana-1706	247	17	algorithms	algorithm	NOUN
cana-1706	247	18	are	be	AUX
cana-1706	247	19	trained	train	VERB
cana-1706	247	20	on	on	ADP
cana-1706	247	21	a	a	DET
cana-1706	247	22	labeled	label	VERB
cana-1706	247	23	dataset	dataset	NOUN
cana-1706	247	24	with	with	ADP
cana-1706	247	25	both	both	CCONJ
cana-1706	247	26	benign	benign	ADJ
cana-1706	247	27	and	and	CCONJ
cana-1706	247	28	malicious	malicious	ADJ
cana-1706	247	29	behaviors	behavior	NOUN
cana-1706	247	30	like	like	ADP
cana-1706	247	31	those	those	PRON
cana-1706	247	32	found	find	VERB
cana-1706	247	33	in	in	ADP
cana-1706	247	34	apt	apt	ADJ
cana-1706	247	35	attacks	attack	NOUN
cana-1706	247	36	.	.	PUNCT
cana-1706	248	1	these	these	DET
cana-1706	248	2	models	model	NOUN
cana-1706	248	3	get	get	AUX
cana-1706	248	4	trained	train	VERB
cana-1706	248	5	in	in	ADP
cana-1706	248	6	a	a	DET
cana-1706	248	7	way	way	NOUN
cana-1706	248	8	that	that	PRON
cana-1706	248	9	they	they	PRON
cana-1706	248	10	are	be	AUX
cana-1706	248	11	capable	capable	ADJ
cana-1706	248	12	of	of	ADP
cana-1706	248	13	classifying	classify	VERB
cana-1706	248	14	new	new	ADJ
cana-1706	248	15	data	datum	NOUN
cana-1706	248	16	points	point	NOUN
cana-1706	248	17	depending	depend	VERB
cana-1706	248	18	on	on	ADP
cana-1706	248	19	the	the	DET
cana-1706	248	20	patterns	pattern	NOUN
cana-1706	248	21	found	find	VERB
cana-1706	248	22	in	in	ADP
cana-1706	248	23	the	the	DET
cana-1706	248	24	training	training	NOUN
cana-1706	248	25	.	.	PUNCT
cana-1706	249	1	supervised	supervised	ADJ
cana-1706	249	2	models	model	NOUN
cana-1706	249	3	are	be	AUX
cana-1706	249	4	most	most	ADV
cana-1706	249	5	effective	effective	ADJ
cana-1706	249	6	at	at	ADP
cana-1706	249	7	identifying	identify	VERB
cana-1706	249	8	already	already	ADV
cana-1706	249	9	known	know	VERB
cana-1706	249	10	attack	attack	NOUN
cana-1706	249	11	types	type	NOUN
cana-1706	249	12	,	,	PUNCT
cana-1706	249	13	for	for	ADP
cana-1706	249	14	example	example	NOUN
cana-1706	249	15	where	where	SCONJ
cana-1706	249	16	signatures	signature	NOUN
cana-1706	249	17	or	or	CCONJ
cana-1706	249	18	patterns	pattern	NOUN
cana-1706	249	19	of	of	ADP
cana-1706	249	20	behavior	behavior	NOUN
cana-1706	249	21	can	can	AUX
cana-1706	249	22	be	be	AUX
cana-1706	249	23	identified	identify	VERB
cana-1706	249	24	and	and	CCONJ
cana-1706	249	25	used	use	VERB
cana-1706	249	26	as	as	ADP
cana-1706	249	27	training	training	NOUN
cana-1706	249	28	labels	label	NOUN
cana-1706	249	29	.	.	PUNCT
cana-1706	250	1	𝑓(𝑥	𝑓(𝑥	NOUN
cana-1706	250	2	)	)	PUNCT
cana-1706	251	1	=	=	PUNCT
cana-1706	251	2	∑	∑	PUNCT
cana-1706	251	3	𝑛	𝑛	DET
cana-1706	251	4	𝑖=1	𝑖=1	PROPN
cana-1706	251	5	𝛼𝑖𝑦𝑖⟨𝑥𝑖	𝛼𝑖𝑦𝑖⟨𝑥𝑖	NOUN
cana-1706	251	6	,	,	PUNCT
cana-1706	251	7	𝑥⟩	𝑥⟩	PUNCT
cana-1706	252	1	+	+	CCONJ
cana-1706	252	2	𝑏	𝑏	NOUN
cana-1706	252	3	but	but	CCONJ
cana-1706	252	4	,	,	PUNCT
cana-1706	252	5	supervised	supervised	ADJ
cana-1706	252	6	learning	learning	NOUN
cana-1706	252	7	models	model	NOUN
cana-1706	252	8	falls	fall	VERB
cana-1706	252	9	short	short	ADJ
cana-1706	252	10	when	when	SCONJ
cana-1706	252	11	it	it	PRON
cana-1706	252	12	comes	come	VERB
cana-1706	252	13	to	to	ADP
cana-1706	252	14	zero	zero	NUM
cana-1706	252	15	-	-	PUNCT
cana-1706	252	16	day	day	NOUN
cana-1706	252	17	attacks	attack	NOUN
cana-1706	252	18	or	or	CCONJ
cana-1706	252	19	new	new	ADJ
cana-1706	252	20	threats	threat	NOUN
cana-1706	252	21	which	which	PRON
cana-1706	252	22	not	not	PART
cana-1706	252	23	having	have	VERB
cana-1706	252	24	pattern	pattern	NOUN
cana-1706	252	25	in	in	ADP
cana-1706	252	26	the	the	DET
cana-1706	252	27	training	training	NOUN
cana-1706	252	28	data	datum	NOUN
cana-1706	252	29	.	.	PUNCT
cana-1706	253	1	𝑇	𝑇	PROPN
cana-1706	253	2	=	=	PUNCT
cana-1706	253	3	𝜇	𝜇	ADP
cana-1706	253	4	+	+	X
cana-1706	253	5	𝑘	𝑘	DET
cana-1706	253	6	⋅	⋅	PROPN
cana-1706	253	7	𝜎	𝜎	PROPN
cana-1706	253	8	this	this	PRON
cana-1706	253	9	is	be	AUX
cana-1706	253	10	overcome	overcome	VERB
cana-1706	253	11	by	by	ADP
cana-1706	253	12	employing	employ	VERB
cana-1706	253	13	unsupervised	unsupervised	ADJ
cana-1706	253	14	models	model	NOUN
cana-1706	253	15	(	(	PUNCT
cana-1706	253	16	models	model	NOUN
cana-1706	253	17	that	that	PRON
cana-1706	253	18	do	do	AUX
cana-1706	253	19	n't	not	PART
cana-1706	253	20	require	require	VERB
cana-1706	253	21	any	any	DET
cana-1706	253	22	information	information	NOUN
cana-1706	253	23	about	about	ADP
cana-1706	253	24	the	the	DET
cana-1706	253	25	normal	normal	ADJ
cana-1706	253	26	state	state	NOUN
cana-1706	253	27	at	at	ADV
cana-1706	253	28	all	all	ADV
cana-1706	253	29	)	)	PUNCT
cana-1706	253	30	like	like	ADP
cana-1706	253	31	kmeans	kmean	NOUN
cana-1706	253	32	clustering	cluster	VERB
cana-1706	253	33	,	,	PUNCT
cana-1706	253	34	gaussian	gaussian	ADJ
cana-1706	253	35	mixture	mixture	NOUN
cana-1706	253	36	models	model	NOUN
cana-1706	253	37	,	,	PUNCT
cana-1706	253	38	autoencoders	autoencoder	NOUN
cana-1706	253	39	etc	etc	X
cana-1706	253	40	to	to	PART
cana-1706	253	41	predict	predict	VERB
cana-1706	253	42	communications	communication	NOUN
cana-1706	253	43	on	on	ADP
cana-1706	253	44	applied	apply	VERB
cana-1706	253	45	nonlinear	nonlinear	ADJ
cana-1706	253	46	analysis	analysis	NOUN
cana-1706	253	47	issn	issn	NOUN
cana-1706	253	48	:	:	PUNCT
cana-1706	253	49	1074	1074	NUM
cana-1706	253	50	-	-	PUNCT
cana-1706	253	51	133x	133x	NUM
cana-1706	253	52	vol	vol	NOUN
cana-1706	253	53	32	32	NUM
cana-1706	253	54	no	no	NOUN
cana-1706	253	55	.	.	NOUN
cana-1706	253	56	2	2	NUM
cana-1706	253	57	(	(	PUNCT
cana-1706	253	58	2025	2025	NUM
cana-1706	253	59	)	)	PUNCT
cana-1706	254	1	40	40	NUM
cana-1706	254	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	254	3	anomalies	anomaly	NOUN
cana-1706	254	4	in	in	ADP
cana-1706	254	5	terms	term	NOUN
cana-1706	254	6	of	of	ADP
cana-1706	254	7	deviation	deviation	NOUN
cana-1706	254	8	from	from	ADP
cana-1706	254	9	usual	usual	ADJ
cana-1706	254	10	scenario	scenario	NOUN
cana-1706	254	11	.	.	PUNCT
cana-1706	255	1	these	these	DET
cana-1706	255	2	models	model	NOUN
cana-1706	255	3	do	do	AUX
cana-1706	255	4	not	not	PART
cana-1706	255	5	need	need	VERB
cana-1706	255	6	labeled	label	VERB
cana-1706	255	7	data	datum	NOUN
cana-1706	255	8	and	and	CCONJ
cana-1706	255	9	so	so	ADV
cana-1706	255	10	can	can	AUX
cana-1706	255	11	detect	detect	VERB
cana-1706	255	12	as	as	ADP
cana-1706	255	13	anomalies	anomaly	NOUN
cana-1706	255	14	any	any	DET
cana-1706	255	15	threats	threat	NOUN
cana-1706	255	16	that	that	PRON
cana-1706	255	17	they	they	PRON
cana-1706	255	18	have	have	AUX
cana-1706	255	19	never	never	ADV
cana-1706	255	20	seen	see	VERB
cana-1706	255	21	during	during	ADP
cana-1706	255	22	training	training	NOUN
cana-1706	255	23	but	but	CCONJ
cana-1706	255	24	due	due	ADP
cana-1706	255	25	to	to	ADP
cana-1706	255	26	their	their	PRON
cana-1706	255	27	ability	ability	NOUN
cana-1706	255	28	to	to	PART
cana-1706	255	29	learn	learn	VERB
cana-1706	255	30	the	the	DET
cana-1706	255	31	distribution	distribution	NOUN
cana-1706	255	32	of	of	ADP
cana-1706	255	33	normal	normal	ADJ
cana-1706	255	34	behavior	behavior	NOUN
cana-1706	255	35	will	will	AUX
cana-1706	255	36	flag	flag	VERB
cana-1706	255	37	any	any	DET
cana-1706	255	38	outlier	outlier	NOUN
cana-1706	255	39	against	against	ADP
cana-1706	255	40	this	this	DET
cana-1706	255	41	distribution	distribution	NOUN
cana-1706	255	42	.	.	PUNCT
cana-1706	256	1	𝑅𝐸(𝑥	𝑅𝐸(𝑥	NOUN
cana-1706	256	2	)	)	PUNCT
cana-1706	257	1	=	=	NOUN
cana-1706	257	2	∥	∥	ADP
cana-1706	257	3	𝑥	𝑥	PRON
cana-1706	257	4	−	−	PROPN
cana-1706	257	5	�	�	PROPN
cana-1706	257	6	̂	̂	SYM
cana-1706	257	7	�	�	PROPN
cana-1706	257	8	∥2	∥2	NOUN
cana-1706	257	9	the	the	DET
cana-1706	257	10	methodology	methodology	NOUN
cana-1706	257	11	harnesses	harness	NOUN
cana-1706	257	12	supervised	supervise	VERB
cana-1706	257	13	and	and	CCONJ
cana-1706	257	14	unsupervised	unsupervised	ADJ
cana-1706	257	15	learning	learning	NOUN
cana-1706	257	16	models	model	NOUN
cana-1706	257	17	provides	provide	VERB
cana-1706	257	18	pattern	pattern	NOUN
cana-1706	257	19	recognition	recognition	NOUN
cana-1706	257	20	to	to	ADP
cana-1706	257	21	capable	capable	ADJ
cana-1706	257	22	of	of	ADP
cana-1706	257	23	real	real	ADJ
cana-1706	257	24	-	-	PUNCT
cana-1706	257	25	time	time	NOUN
cana-1706	257	26	detection	detection	NOUN
cana-1706	257	27	for	for	ADP
cana-1706	257	28	established	establish	VERB
cana-1706	257	29	and	and	CCONJ
cana-1706	257	30	distributed	distribute	VERB
cana-1706	257	31	threats	threat	NOUN
cana-1706	257	32	.	.	PUNCT
cana-1706	258	1	because	because	SCONJ
cana-1706	258	2	supervised	supervised	ADJ
cana-1706	258	3	models	model	NOUN
cana-1706	258	4	are	be	AUX
cana-1706	258	5	good	good	ADJ
cana-1706	258	6	at	at	ADP
cana-1706	258	7	detecting	detect	VERB
cana-1706	258	8	known	know	VERB
cana-1706	258	9	attack	attack	NOUN
cana-1706	258	10	vectors	vector	NOUN
cana-1706	258	11	and	and	CCONJ
cana-1706	258	12	unsupervised	unsupervised	ADJ
cana-1706	258	13	models	model	NOUN
cana-1706	258	14	are	be	AUX
cana-1706	258	15	effective	effective	ADJ
cana-1706	258	16	at	at	ADP
cana-1706	258	17	capturing	capture	VERB
cana-1706	258	18	anomalies	anomaly	NOUN
cana-1706	258	19	which	which	PRON
cana-1706	258	20	can	can	AUX
cana-1706	258	21	signify	signify	VERB
cana-1706	258	22	something	something	PRON
cana-1706	258	23	has	have	AUX
cana-1706	258	24	gone	go	VERB
cana-1706	258	25	wrong	wrong	ADJ
cana-1706	258	26	the	the	DET
cana-1706	258	27	two	two	NUM
cana-1706	258	28	algorithm	algorithm	NOUN
cana-1706	258	29	types	type	NOUN
cana-1706	258	30	worked	work	VERB
cana-1706	258	31	together	together	ADV
cana-1706	258	32	well	well	ADV
cana-1706	258	33	.	.	PUNCT
cana-1706	259	1	𝛴𝑘	𝛴𝑘	NOUN
cana-1706	259	2	=	=	PUNCT
cana-1706	259	3	1	1	NUM
cana-1706	259	4	𝑁𝑘	𝑁𝑘	PROPN
cana-1706	259	5	∑	∑	PUNCT
cana-1706	259	6	𝑁𝑘	𝑁𝑘	PROPN
cana-1706	259	7	𝑖=1	𝑖=1	PROPN
cana-1706	260	1	(	(	PUNCT
cana-1706	260	2	𝑥𝑖	𝑥𝑖	NUM
cana-1706	260	3	−	−	PROPN
cana-1706	260	4	𝜇𝑘)(𝑥𝑖	𝜇𝑘)(𝑥𝑖	PUNCT
cana-1706	260	5	−	−	PROPN
cana-1706	260	6	𝜇𝑘)𝑇	𝜇𝑘)𝑇	ADP
cana-1706	261	1	the	the	DET
cana-1706	261	2	methodology	methodology	NOUN
cana-1706	261	3	also	also	ADV
cana-1706	261	4	uses	use	VERB
cana-1706	261	5	ensemble	ensemble	ADJ
cana-1706	261	6	learning	learning	NOUN
cana-1706	261	7	methods	method	NOUN
cana-1706	261	8	,	,	PUNCT
cana-1706	261	9	combining	combine	VERB
cana-1706	261	10	multiple	multiple	ADJ
cana-1706	261	11	models	model	NOUN
cana-1706	261	12	to	to	PART
cana-1706	261	13	enhance	enhance	VERB
cana-1706	261	14	the	the	DET
cana-1706	261	15	detection	detection	NOUN
cana-1706	261	16	accuracy	accuracy	NOUN
cana-1706	261	17	.	.	PUNCT
cana-1706	262	1	it	it	PRON
cana-1706	262	2	could	could	AUX
cana-1706	262	3	be	be	AUX
cana-1706	262	4	,	,	PUNCT
cana-1706	262	5	for	for	ADP
cana-1706	262	6	example	example	NOUN
cana-1706	262	7	,	,	PUNCT
cana-1706	262	8	ensemble	ensemble	ADJ
cana-1706	262	9	of	of	ADP
cana-1706	262	10	decision	decision	NOUN
cana-1706	262	11	trees	tree	NOUN
cana-1706	262	12	(	(	PUNCT
cana-1706	262	13	random	random	ADJ
cana-1706	262	14	forest	forest	NOUN
cana-1706	262	15	)	)	PUNCT
cana-1706	262	16	combined	combine	VERB
cana-1706	262	17	with	with	ADP
cana-1706	262	18	clustering	clustering	ADJ
cana-1706	262	19	algorithm	algorithm	NOUN
cana-1706	262	20	that	that	PRON
cana-1706	262	21	improve	improve	VERB
cana-1706	262	22	time	time	NOUN
cana-1706	262	23	and	and	CCONJ
cana-1706	262	24	better	well	ADJ
cana-1706	262	25	result	result	VERB
cana-1706	262	26	overall	overall	ADJ
cana-1706	262	27	.	.	PUNCT
cana-1706	263	1	3	3	X
cana-1706	263	2	.	.	X
cana-1706	263	3	deep	deep	ADJ
cana-1706	263	4	learning	learning	NOUN
cana-1706	263	5	models	model	NOUN
cana-1706	263	6	with	with	ADP
cana-1706	263	7	sequential	sequential	ADJ
cana-1706	263	8	and	and	CCONJ
cana-1706	263	9	spatial	spatial	ADJ
cana-1706	263	10	-	-	PUNCT
cana-1706	263	11	temporal	temporal	ADJ
cana-1706	263	12	data	datum	NOUN
cana-1706	263	13	since	since	SCONJ
cana-1706	263	14	iot	iot	PROPN
cana-1706	263	15	data	datum	NOUN
cana-1706	263	16	is	be	AUX
cana-1706	263	17	frequently	frequently	ADV
cana-1706	263	18	time	time	NOUN
cana-1706	263	19	-	-	PUNCT
cana-1706	263	20	series	series	NOUN
cana-1706	263	21	or	or	CCONJ
cana-1706	263	22	spatial	spatial	ADJ
cana-1706	263	23	-	-	PUNCT
cana-1706	263	24	temporal	temporal	ADJ
cana-1706	263	25	,	,	PUNCT
cana-1706	263	26	we	we	PRON
cana-1706	263	27	used	use	VERB
cana-1706	263	28	deep	deep	ADJ
cana-1706	263	29	learning	learning	NOUN
cana-1706	263	30	mechanisms	mechanism	NOUN
cana-1706	263	31	in	in	ADP
cana-1706	263	32	the	the	DET
cana-1706	263	33	proposed	propose	VERB
cana-1706	263	34	methodology	methodology	NOUN
cana-1706	263	35	.	.	PUNCT
cana-1706	264	1	to	to	PART
cana-1706	264	2	analyze	analyze	VERB
cana-1706	264	3	spatial	spatial	ADJ
cana-1706	264	4	and	and	CCONJ
cana-1706	264	5	sequential	sequential	ADJ
cana-1706	264	6	dependency	dependency	NOUN
cana-1706	264	7	in	in	ADP
cana-1706	264	8	data	datum	NOUN
cana-1706	264	9	points	point	NOUN
cana-1706	264	10	,	,	PUNCT
cana-1706	264	11	we	we	PRON
cana-1706	264	12	use	use	VERB
cana-1706	264	13	lstm	lstm	ADJ
cana-1706	264	14	networks	network	NOUN
cana-1706	264	15	followed	follow	VERB
cana-1706	264	16	by	by	ADP
cana-1706	264	17	1d	1d	NUM
cana-1706	264	18	cnn	cnn	PROPN
cana-1706	264	19	.	.	PUNCT
cana-1706	265	1	𝑍[𝑙	𝑍[𝑙	PROPN
cana-1706	265	2	]	]	X
cana-1706	266	1	=	=	PUNCT
cana-1706	266	2	𝑊[𝑙]𝐴[𝑙−1	𝑊[𝑙]𝐴[𝑙−1	X
cana-1706	266	3	]	]	X
cana-1706	266	4	+	+	X
cana-1706	266	5	𝑏[𝑙	𝑏[𝑙	NOUN
cana-1706	266	6	]	]	X
cana-1706	266	7	an	an	DET
cana-1706	266	8	application	application	NOUN
cana-1706	266	9	of	of	ADP
cana-1706	266	10	this	this	PRON
cana-1706	266	11	is	be	AUX
cana-1706	266	12	time	time	NOUN
cana-1706	266	13	series	series	PROPN
cana-1706	266	14	data	datum	NOUN
cana-1706	266	15	generated	generate	VERB
cana-1706	266	16	from	from	ADP
cana-1706	266	17	iot	iot	PROPN
cana-1706	266	18	devices	device	NOUN
cana-1706	266	19	like	like	ADP
cana-1706	266	20	accelerometers	accelerometer	NOUN
cana-1706	266	21	or	or	CCONJ
cana-1706	266	22	gyroscopes	gyroscope	NOUN
cana-1706	266	23	etc	etc	X
cana-1706	266	24	,	,	PUNCT
cana-1706	266	25	by	by	ADP
cana-1706	266	26	using	use	VERB
cana-1706	266	27	lstms	lstms	ADJ
cana-1706	266	28	prevent	prevent	NOUN
cana-1706	266	29	worrying	worry	VERB
cana-1706	266	30	about	about	ADP
cana-1706	266	31	the	the	DET
cana-1706	266	32	timing	timing	NOUN
cana-1706	266	33	or	or	CCONJ
cana-1706	266	34	order	order	NOUN
cana-1706	266	35	of	of	ADP
cana-1706	266	36	events	event	NOUN
cana-1706	266	37	.	.	PUNCT
cana-1706	267	1	they	they	PRON
cana-1706	267	2	are	be	AUX
cana-1706	267	3	also	also	ADV
cana-1706	267	4	useful	useful	ADJ
cana-1706	267	5	for	for	ADP
cana-1706	267	6	detecting	detect	VERB
cana-1706	267	7	repeating	repeat	VERB
cana-1706	267	8	patterns	pattern	NOUN
cana-1706	267	9	and	and	CCONJ
cana-1706	267	10	modeling	model	VERB
cana-1706	267	11	long	long	ADJ
cana-1706	267	12	-	-	PUNCT
cana-1706	267	13	term	term	NOUN
cana-1706	267	14	dependencies	dependency	NOUN
cana-1706	267	15	in	in	ADP
cana-1706	267	16	the	the	DET
cana-1706	267	17	data	datum	NOUN
cana-1706	267	18	,	,	PUNCT
cana-1706	267	19	which	which	PRON
cana-1706	267	20	is	be	AUX
cana-1706	267	21	why	why	SCONJ
cana-1706	267	22	they	they	PRON
cana-1706	267	23	can	can	AUX
cana-1706	267	24	be	be	AUX
cana-1706	267	25	used	use	VERB
cana-1706	267	26	to	to	PART
cana-1706	267	27	detect	detect	VERB
cana-1706	267	28	anomalous	anomalous	ADJ
cana-1706	267	29	events	event	NOUN
cana-1706	267	30	over	over	ADP
cana-1706	267	31	time	time	NOUN
cana-1706	267	32	(	(	PUNCT
cana-1706	267	33	e.g.	e.g.	ADV
cana-1706	267	34	,	,	PUNCT
cana-1706	267	35	temperature	temperature	NOUN
cana-1706	267	36	suddenly	suddenly	ADV
cana-1706	267	37	went	go	VERB
cana-1706	267	38	up	up	ADP
cana-1706	267	39	,	,	PUNCT
cana-1706	267	40	latency	latency	NOUN
cana-1706	267	41	of	of	ADP
cana-1706	267	42	network	network	NOUN
cana-1706	267	43	connection	connection	NOUN
cana-1706	267	44	abruptly	abruptly	ADV
cana-1706	267	45	changed	change	VERB
cana-1706	267	46	)	)	PUNCT
cana-1706	267	47	.	.	PUNCT
cana-1706	268	1	𝐴[𝑙	𝐴[𝑙	VERB
cana-1706	268	2	]	]	PUNCT
cana-1706	269	1	=	=	SYM
cana-1706	269	2	𝑔(𝑍[𝑙	𝑔(𝑍[𝑙	NOUN
cana-1706	269	3	]	]	PUNCT
cana-1706	269	4	)	)	PUNCT
cana-1706	269	5	cnns	cnn	NOUN
cana-1706	269	6	would	would	AUX
cana-1706	269	7	instead	instead	ADV
cana-1706	269	8	be	be	AUX
cana-1706	269	9	used	use	VERB
cana-1706	269	10	for	for	ADP
cana-1706	269	11	data	datum	NOUN
cana-1706	269	12	where	where	SCONJ
cana-1706	269	13	the	the	DET
cana-1706	269	14	structure	structure	NOUN
cana-1706	269	15	of	of	ADP
cana-1706	269	16	individual	individual	ADJ
cana-1706	269	17	bits	bit	NOUN
cana-1706	269	18	(	(	PUNCT
cana-1706	269	19	like	like	ADP
cana-1706	269	20	pixels	pixel	NOUN
cana-1706	269	21	in	in	ADP
cana-1706	269	22	an	an	DET
cana-1706	269	23	image	image	NOUN
cana-1706	269	24	,	,	PUNCT
cana-1706	269	25	or	or	CCONJ
cana-1706	269	26	packets	packet	NOUN
cana-1706	269	27	in	in	ADP
cana-1706	269	28	a	a	DET
cana-1706	269	29	network	network	NOUN
cana-1706	269	30	traffic	traffic	NOUN
cana-1706	269	31	pattern	pattern	NOUN
cana-1706	269	32	)	)	PUNCT
cana-1706	269	33	is	be	AUX
cana-1706	269	34	relevant	relevant	ADJ
cana-1706	269	35	.	.	PUNCT
cana-1706	270	1	cnns	cnns	PROPN
cana-1706	270	2	can	can	AUX
cana-1706	270	3	detect	detect	VERB
cana-1706	270	4	tiny	tiny	ADJ
cana-1706	270	5	anomalies	anomaly	NOUN
cana-1706	270	6	in	in	ADP
cana-1706	270	7	iot	iot	PROPN
cana-1706	270	8	networks	network	NOUN
cana-1706	270	9	,	,	PUNCT
cana-1706	270	10	which	which	PRON
cana-1706	270	11	are	be	AUX
cana-1706	270	12	not	not	PART
cana-1706	270	13	observable	observable	ADJ
cana-1706	270	14	with	with	ADP
cana-1706	270	15	typical	typical	ADJ
cana-1706	270	16	statistical	statistical	ADJ
cana-1706	270	17	approaches	approach	NOUN
cana-1706	270	18	.	.	PUNCT
cana-1706	271	1	cnns	cnns	PROPN
cana-1706	271	2	for	for	ADP
cana-1706	271	3	instance	instance	NOUN
cana-1706	271	4	can	can	AUX
cana-1706	271	5	be	be	AUX
cana-1706	271	6	used	use	VERB
cana-1706	271	7	to	to	PART
cana-1706	271	8	monitor	monitor	VERB
cana-1706	271	9	anomalies	anomaly	NOUN
cana-1706	271	10	in	in	ADP
cana-1706	271	11	packet	packet	NOUN
cana-1706	271	12	flows	flow	NOUN
cana-1706	271	13	from	from	ADP
cana-1706	271	14	so	so	ADV
cana-1706	271	15	called	call	VERB
cana-1706	271	16	network	network	NOUN
cana-1706	271	17	traffic	traffic	NOUN
cana-1706	271	18	,	,	PUNCT
cana-1706	271	19	which	which	PRON
cana-1706	271	20	may	may	AUX
cana-1706	271	21	translate	translate	VERB
cana-1706	271	22	into	into	ADP
cana-1706	271	23	particular	particular	ADJ
cana-1706	271	24	distributed	distribute	VERB
cana-1706	271	25	denial	denial	NOUN
cana-1706	271	26	-	-	PUNCT
cana-1706	271	27	of	of	ADP
cana-1706	271	28	-	-	PUNCT
cana-1706	271	29	service	service	NOUN
cana-1706	271	30	(	(	PUNCT
cana-1706	271	31	ddos	ddo	NOUN
cana-1706	271	32	)	)	PUNCT
cana-1706	271	33	attacks	attack	NOUN
cana-1706	271	34	or	or	CCONJ
cana-1706	271	35	men	man	NOUN
cana-1706	271	36	-	-	PUNCT
cana-1706	271	37	in	in	ADP
cana-1706	271	38	-	-	PUNCT
cana-1706	271	39	the	the	DET
cana-1706	271	40	-	-	PUNCT
cana-1706	271	41	middle	middle	ADJ
cana-1706	271	42	attacks	attack	NOUN
cana-1706	271	43	.	.	PUNCT
cana-1706	272	1	𝑓𝑡	𝑓𝑡	NOUN
cana-1706	272	2	=	=	PUNCT
cana-1706	272	3	𝜎(𝑊𝑓	𝜎(𝑊𝑓	NOUN
cana-1706	273	1	⋅	⋅	PROPN
cana-1706	274	1	[	[	X
cana-1706	274	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-1706	274	3	,	,	PUNCT
cana-1706	274	4	𝑥𝑡	𝑥𝑡	ADP
cana-1706	274	5	]	]	PUNCT
cana-1706	274	6	+	+	CCONJ
cana-1706	274	7	𝑏𝑓	𝑏𝑓	ADV
cana-1706	274	8	)	)	PUNCT
cana-1706	274	9	𝑖𝑡	𝑖𝑡	NOUN
cana-1706	275	1	=	=	PUNCT
cana-1706	275	2	𝜎(𝑊𝑖	𝜎(𝑊𝑖	NOUN
cana-1706	275	3	⋅	⋅	PROPN
cana-1706	276	1	[	[	X
cana-1706	276	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-1706	276	3	,	,	PUNCT
cana-1706	276	4	𝑥𝑡	𝑥𝑡	ADP
cana-1706	276	5	]	]	X
cana-1706	277	1	+	+	CCONJ
cana-1706	277	2	𝑏𝑖	𝑏𝑖	X
cana-1706	277	3	)	)	PUNCT
cana-1706	277	4	𝐶∼	𝐶∼	PUNCT
cana-1706	277	5	𝑡	𝑡	NOUN
cana-1706	277	6	=	=	SYM
cana-1706	277	7	𝑡𝑎𝑛ℎ(𝑊𝐶	𝑡𝑎𝑛ℎ(𝑊𝐶	X
cana-1706	277	8	⋅	⋅	PROPN
cana-1706	278	1	[	[	X
cana-1706	278	2	ℎ𝑡−1	ℎ𝑡−1	ADJ
cana-1706	278	3	,	,	PUNCT
cana-1706	278	4	𝑥𝑡	𝑥𝑡	ADP
cana-1706	278	5	]	]	X
cana-1706	278	6	+	+	CCONJ
cana-1706	278	7	𝑏𝐶	𝑏𝐶	X
cana-1706	278	8	)	)	PUNCT
cana-1706	278	9	𝐶𝑡	𝐶𝑡	PROPN
cana-1706	278	10	=	=	SYM
cana-1706	279	1	𝑓𝑡	𝑓𝑡	PROPN
cana-1706	279	2	⊙	⊙	PROPN
cana-1706	279	3	𝐶𝑡−1	𝐶𝑡−1	PROPN
cana-1706	280	1	+	+	CCONJ
cana-1706	280	2	𝑖𝑡	𝑖𝑡	PROPN
cana-1706	280	3	⊙	⊙	PROPN
cana-1706	280	4	𝐶∼	𝐶∼	PUNCT
cana-1706	280	5	𝑡	𝑡	PROPN
cana-1706	280	6	ℎ𝑡	ℎ𝑡	NOUN
cana-1706	280	7	=	=	PUNCT
cana-1706	280	8	𝑜𝑡	𝑜𝑡	PROPN
cana-1706	280	9	⊙	⊙	PROPN
cana-1706	280	10	𝑡𝑎𝑛ℎ(𝐶𝑡	𝑡𝑎𝑛ℎ(𝐶𝑡	PROPN
cana-1706	280	11	)	)	PUNCT
cana-1706	280	12	communications	communication	NOUN
cana-1706	280	13	on	on	ADP
cana-1706	280	14	applied	apply	VERB
cana-1706	280	15	nonlinear	nonlinear	ADJ
cana-1706	280	16	analysis	analysis	NOUN
cana-1706	280	17	issn	issn	NOUN
cana-1706	280	18	:	:	PUNCT
cana-1706	280	19	1074	1074	NUM
cana-1706	280	20	-	-	PUNCT
cana-1706	280	21	133x	133x	NUM
cana-1706	280	22	vol	vol	NOUN
cana-1706	280	23	32	32	NUM
cana-1706	280	24	no	no	NOUN
cana-1706	280	25	.	.	NOUN
cana-1706	280	26	2	2	NUM
cana-1706	280	27	(	(	PUNCT
cana-1706	280	28	2025	2025	NUM
cana-1706	280	29	)	)	PUNCT
cana-1706	280	30	41	41	NUM
cana-1706	280	31	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	280	32	when	when	SCONJ
cana-1706	280	33	we	we	PRON
cana-1706	280	34	put	put	VERB
cana-1706	280	35	deep	deep	ADJ
cana-1706	280	36	learning	learning	NOUN
cana-1706	280	37	models	model	NOUN
cana-1706	280	38	into	into	ADP
cana-1706	280	39	the	the	DET
cana-1706	280	40	anomaly	anomaly	NOUN
cana-1706	280	41	detection	detection	NOUN
cana-1706	280	42	process	process	NOUN
cana-1706	280	43	,	,	PUNCT
cana-1706	280	44	it	it	PRON
cana-1706	280	45	strengthens	strengthen	VERB
cana-1706	280	46	our	our	PRON
cana-1706	280	47	methodology	methodology	NOUN
cana-1706	280	48	in	in	ADP
cana-1706	280	49	order	order	NOUN
cana-1706	280	50	to	to	PART
cana-1706	280	51	detect	detect	VERB
cana-1706	280	52	better	well	ADV
cana-1706	280	53	.	.	PUNCT
cana-1706	281	1	this	this	PRON
cana-1706	281	2	allows	allow	VERB
cana-1706	281	3	to	to	PART
cana-1706	281	4	monitor	monitor	VERB
cana-1706	281	5	for	for	ADP
cana-1706	281	6	very	very	ADV
cana-1706	281	7	complex	complex	ADJ
cana-1706	281	8	or	or	CCONJ
cana-1706	281	9	subtle	subtle	ADJ
cana-1706	281	10	anomalies	anomaly	NOUN
cana-1706	281	11	that	that	PRON
cana-1706	281	12	may	may	AUX
cana-1706	281	13	by	by	ADP
cana-1706	281	14	themselves	themselves	PRON
cana-1706	281	15	become	become	VERB
cana-1706	281	16	invisible	invisible	ADJ
cana-1706	281	17	.	.	PUNCT
cana-1706	282	1	but	but	CCONJ
cana-1706	282	2	deep	deep	ADJ
cana-1706	282	3	learning	learning	NOUN
cana-1706	282	4	models	model	NOUN
cana-1706	282	5	are	be	AUX
cana-1706	282	6	computationally	computationally	ADV
cana-1706	282	7	expensive	expensive	ADJ
cana-1706	282	8	,	,	PUNCT
cana-1706	282	9	a	a	DET
cana-1706	282	10	problem	problem	NOUN
cana-1706	282	11	in	in	ADP
cana-1706	282	12	limited	limited	ADJ
cana-1706	282	13	resources	resource	NOUN
cana-1706	282	14	of	of	ADP
cana-1706	282	15	iot	iot	NOUN
cana-1706	282	16	.	.	PUNCT
cana-1706	283	1	to	to	PART
cana-1706	283	2	help	help	VERB
cana-1706	283	3	with	with	ADP
cana-1706	283	4	this	this	PRON
cana-1706	283	5	,	,	PUNCT
cana-1706	283	6	the	the	DET
cana-1706	283	7	technique	technique	NOUN
cana-1706	283	8	uses	use	VERB
cana-1706	283	9	edge	edge	NOUN
cana-1706	283	10	computing	computing	NOUN
cana-1706	283	11	that	that	PRON
cana-1706	283	12	can	can	AUX
cana-1706	283	13	process	process	VERB
cana-1706	283	14	the	the	DET
cana-1706	283	15	data	datum	NOUN
cana-1706	283	16	near	near	ADP
cana-1706	283	17	where	where	SCONJ
cana-1706	283	18	it	it	PRON
cana-1706	283	19	is	be	AUX
cana-1706	283	20	generated	generate	VERB
cana-1706	283	21	to	to	PART
cana-1706	283	22	cut	cut	VERB
cana-1706	283	23	down	down	ADP
cana-1706	283	24	latency	latency	NOUN
cana-1706	283	25	and	and	CCONJ
cana-1706	283	26	computational	computational	ADJ
cana-1706	283	27	burden	burden	NOUN
cana-1706	283	28	of	of	ADP
cana-1706	283	29	sending	send	VERB
cana-1706	283	30	data	datum	NOUN
cana-1706	283	31	to	to	ADP
cana-1706	283	32	central	central	ADJ
cana-1706	283	33	cloud	cloud	NOUN
cana-1706	283	34	servers	server	NOUN
cana-1706	283	35	.	.	PUNCT
cana-1706	284	1	4	4	X
cana-1706	284	2	.	.	X
cana-1706	284	3	performance	performance	NOUN
cana-1706	284	4	improvement	improvement	NOUN
cana-1706	284	5	through	through	ADP
cana-1706	284	6	optimization	optimization	NOUN
cana-1706	284	7	algorithms	algorithm	NOUN
cana-1706	284	8	on	on	ADP
cana-1706	284	9	the	the	DET
cana-1706	284	10	other	other	ADJ
cana-1706	284	11	hand	hand	NOUN
cana-1706	284	12	,	,	PUNCT
cana-1706	284	13	machine	machine	NOUN
cana-1706	284	14	learning	learning	NOUN
cana-1706	284	15	models	model	NOUN
cana-1706	284	16	give	give	VERB
cana-1706	284	17	a	a	DET
cana-1706	284	18	sturdy	sturdy	ADJ
cana-1706	284	19	structure	structure	NOUN
cana-1706	284	20	for	for	ADP
cana-1706	284	21	anomaly	anomaly	NOUN
cana-1706	284	22	detection	detection	NOUN
cana-1706	284	23	in	in	ADP
cana-1706	284	24	iot	iot	NOUN
cana-1706	284	25	networks	network	NOUN
cana-1706	284	26	,	,	PUNCT
cana-1706	284	27	but	but	CCONJ
cana-1706	284	28	they	they	PRON
cana-1706	284	29	need	need	VERB
cana-1706	284	30	to	to	PART
cana-1706	284	31	be	be	AUX
cana-1706	284	32	tuned	tune	VERB
cana-1706	284	33	properly	properly	ADV
cana-1706	284	34	where	where	SCONJ
cana-1706	284	35	it	it	PRON
cana-1706	284	36	works	work	VERB
cana-1706	284	37	perfectly	perfectly	ADV
cana-1706	284	38	with	with	ADP
cana-1706	284	39	accuracies	accuracy	NOUN
cana-1706	284	40	and	and	CCONJ
cana-1706	284	41	false	false	ADJ
cana-1706	284	42	positive	positive	ADJ
cana-1706	284	43	ratio	ratio	NOUN
cana-1706	284	44	and	and	CCONJ
cana-1706	284	45	computational	computational	ADJ
cana-1706	284	46	stuff	stuff	NOUN
cana-1706	284	47	.	.	PUNCT
cana-1706	285	1	in	in	ADP
cana-1706	285	2	this	this	DET
cana-1706	285	3	methodology	methodology	NOUN
cana-1706	285	4	,	,	PUNCT
cana-1706	285	5	they	they	PRON
cana-1706	285	6	have	have	AUX
cana-1706	285	7	used	use	VERB
cana-1706	285	8	genetic	genetic	ADJ
cana-1706	285	9	algorithms	algorithm	NOUN
cana-1706	285	10	(	(	PUNCT
cana-1706	285	11	ga	ga	NOUN
cana-1706	285	12	)	)	PUNCT
cana-1706	285	13	,	,	PUNCT
cana-1706	285	14	particle	particle	NOUN
cana-1706	285	15	swarm	swarm	NOUN
cana-1706	285	16	optimization	optimization	NOUN
cana-1706	285	17	(	(	PUNCT
cana-1706	285	18	pso	pso	NOUN
cana-1706	285	19	)	)	PUNCT
cana-1706	285	20	,	,	PUNCT
cana-1706	285	21	simulated	simulate	VERB
cana-1706	285	22	annealing	annealing	NOUN
cana-1706	285	23	and	and	CCONJ
cana-1706	285	24	some	some	DET
cana-1706	285	25	optimization	optimization	NOUN
cana-1706	285	26	techniques	technique	NOUN
cana-1706	285	27	over	over	ADP
cana-1706	285	28	the	the	DET
cana-1706	285	29	anomaly	anomaly	NOUN
cana-1706	285	30	detection	detection	NOUN
cana-1706	285	31	models	model	NOUN
cana-1706	285	32	to	to	PART
cana-1706	285	33	increase	increase	VERB
cana-1706	285	34	the	the	DET
cana-1706	285	35	accuracy	accuracy	NOUN
cana-1706	285	36	of	of	ADP
cana-1706	285	37	anomaly	anomaly	NOUN
cana-1706	285	38	detection	detection	NOUN
cana-1706	285	39	.	.	PUNCT
cana-1706	286	1	algorithm	algorithm	NOUN
cana-1706	286	2	1	1	NUM
cana-1706	286	3	:	:	PUNCT
cana-1706	286	4	genetic	genetic	ADJ
cana-1706	286	5	algorithm	algorithm	NOUN
cana-1706	286	6	for	for	ADP
cana-1706	286	7	anomaly	anomaly	NOUN
cana-1706	286	8	detection	detection	NOUN
cana-1706	286	9	model	model	NOUN
cana-1706	286	10	optimization	optimization	NOUN
cana-1706	286	11	1	1	NUM
cana-1706	286	12	.	.	PUNCT
cana-1706	286	13	initialize	initialize	VERB
cana-1706	286	14	the	the	DET
cana-1706	286	15	population	population	NOUN
cana-1706	286	16	with	with	ADP
cana-1706	286	17	random	random	ADJ
cana-1706	286	18	solutions	solution	NOUN
cana-1706	286	19	(	(	PUNCT
cana-1706	286	20	model	model	NOUN
cana-1706	286	21	parameters	parameter	NOUN
cana-1706	286	22	𝑥	𝑥	NOUN
cana-1706	286	23	)	)	PUNCT
cana-1706	286	24	.	.	PUNCT
cana-1706	287	1	2	2	X
cana-1706	287	2	.	.	X
cana-1706	287	3	evaluate	evaluate	VERB
cana-1706	287	4	the	the	DET
cana-1706	287	5	fitness	fitness	NOUN
cana-1706	287	6	for	for	ADP
cana-1706	287	7	each	each	DET
cana-1706	287	8	solution	solution	NOUN
cana-1706	287	9	using	use	VERB
cana-1706	287	10	the	the	DET
cana-1706	287	11	fitness	fitness	NOUN
cana-1706	287	12	function	function	NOUN
cana-1706	287	13	𝐹(𝑥	𝐹(𝑥	NUM
cana-1706	287	14	)	)	PUNCT
cana-1706	287	15	=	=	SYM
cana-1706	287	16	1	1	NUM
cana-1706	287	17	1+𝑀𝑆𝐸	1+𝑀𝑆𝐸	NUM
cana-1706	287	18	=	=	SYM
cana-1706	287	19	1	1	NUM
cana-1706	287	20	1+∑	1+∑	NUM
cana-1706	287	21	𝑛	𝑛	PRON
cana-1706	287	22	𝑖=1	𝑖=1	PROPN
cana-1706	287	23	(	(	PUNCT
cana-1706	287	24	𝑦𝑖−	𝑦𝑖−	PROPN
cana-1706	287	25	�	�	PROPN
cana-1706	287	26	̂	̂	NOUN
cana-1706	287	27	�	�	NOUN
cana-1706	287	28	𝑖)2	𝑖)2	NOUN
cana-1706	287	29	.	.	PUNCT
cana-1706	288	1	3	3	X
cana-1706	288	2	.	.	X
cana-1706	288	3	selection	selection	NOUN
cana-1706	288	4	:	:	PUNCT
cana-1706	288	5	select	select	VERB
cana-1706	288	6	individuals	individual	NOUN
cana-1706	288	7	with	with	ADP
cana-1706	288	8	higher	high	ADJ
cana-1706	288	9	fitness	fitness	NOUN
cana-1706	288	10	for	for	ADP
cana-1706	288	11	reproduction	reproduction	NOUN
cana-1706	288	12	.	.	PUNCT
cana-1706	289	1	4	4	X
cana-1706	289	2	.	.	X
cana-1706	289	3	crossover	crossover	NOUN
cana-1706	289	4	:	:	PUNCT
cana-1706	289	5	generate	generate	VERB
cana-1706	289	6	new	new	ADJ
cana-1706	289	7	offspring	offspring	NOUN
cana-1706	289	8	by	by	ADP
cana-1706	289	9	combining	combine	VERB
cana-1706	289	10	features	feature	NOUN
cana-1706	289	11	from	from	ADP
cana-1706	289	12	parent	parent	NOUN
cana-1706	289	13	solutions	solution	NOUN
cana-1706	289	14	.	.	PUNCT
cana-1706	290	1	5	5	X
cana-1706	290	2	.	.	X
cana-1706	290	3	mutation	mutation	NOUN
cana-1706	290	4	:	:	PUNCT
cana-1706	290	5	introduce	introduce	VERB
cana-1706	290	6	random	random	ADJ
cana-1706	290	7	changes	change	NOUN
cana-1706	290	8	to	to	ADP
cana-1706	290	9	offspring	offspre	VERB
cana-1706	290	10	parameters	parameter	NOUN
cana-1706	290	11	to	to	PART
cana-1706	290	12	maintain	maintain	VERB
cana-1706	290	13	diversity	diversity	NOUN
cana-1706	290	14	.	.	PUNCT
cana-1706	291	1	6	6	X
cana-1706	291	2	.	.	X
cana-1706	291	3	replace	replace	VERB
cana-1706	291	4	the	the	DET
cana-1706	291	5	least	least	ADJ
cana-1706	291	6	fit	fit	ADJ
cana-1706	291	7	individuals	individual	NOUN
cana-1706	291	8	with	with	ADP
cana-1706	291	9	new	new	ADJ
cana-1706	291	10	offspring	offspring	NOUN
cana-1706	291	11	.	.	PUNCT
cana-1706	292	1	7	7	X
cana-1706	292	2	.	.	X
cana-1706	292	3	repeat	repeat	NOUN
cana-1706	292	4	steps	step	NOUN
cana-1706	292	5	2	2	NUM
cana-1706	292	6	-	-	SYM
cana-1706	292	7	6	6	NUM
cana-1706	292	8	until	until	SCONJ
cana-1706	292	9	the	the	DET
cana-1706	292	10	stopping	stopping	NOUN
cana-1706	292	11	criterion	criterion	NOUN
cana-1706	292	12	is	be	AUX
cana-1706	292	13	met	meet	VERB
cana-1706	292	14	(	(	PUNCT
cana-1706	292	15	e.g.	e.g.	ADV
cana-1706	292	16	,	,	PUNCT
cana-1706	292	17	maximum	maximum	ADJ
cana-1706	292	18	iterations	iteration	NOUN
cana-1706	292	19	or	or	CCONJ
cana-1706	292	20	desired	desire	VERB
cana-1706	292	21	fitness	fitness	NOUN
cana-1706	292	22	)	)	PUNCT
cana-1706	292	23	.	.	PUNCT
cana-1706	293	1	optimization	optimization	NOUN
cana-1706	293	2	algorithms	algorithm	NOUN
cana-1706	293	3	will	will	AUX
cana-1706	293	4	be	be	AUX
cana-1706	293	5	used	use	VERB
cana-1706	293	6	to	to	PART
cana-1706	293	7	determine	determine	VERB
cana-1706	293	8	the	the	DET
cana-1706	293	9	best	good	ADJ
cana-1706	293	10	detection	detection	NOUN
cana-1706	293	11	thresholds	threshold	NOUN
cana-1706	293	12	,	,	PUNCT
cana-1706	293	13	feature	feature	VERB
cana-1706	293	14	weights	weight	NOUN
cana-1706	293	15	and	and	CCONJ
cana-1706	293	16	hyperparameters	hyperparameter	NOUN
cana-1706	293	17	of	of	ADP
cana-1706	293	18	machine	machine	NOUN
cana-1706	293	19	learning	learning	NOUN
cana-1706	293	20	models	model	NOUN
cana-1706	293	21	.	.	PUNCT
cana-1706	294	1	ga	ga	PROPN
cana-1706	294	2	is	be	AUX
cana-1706	294	3	used	use	VERB
cana-1706	294	4	to	to	PART
cana-1706	294	5	traverse	traverse	VERB
cana-1706	294	6	the	the	DET
cana-1706	294	7	parameter	parameter	NOUN
cana-1706	294	8	space	space	NOUN
cana-1706	294	9	of	of	ADP
cana-1706	294	10	machine	machine	NOUN
cana-1706	294	11	learning	learning	NOUN
cana-1706	294	12	models	model	NOUN
cana-1706	294	13	to	to	PART
cana-1706	294	14	detect	detect	VERB
cana-1706	294	15	the	the	DET
cana-1706	294	16	best	good	ADJ
cana-1706	294	17	combination	combination	NOUN
cana-1706	294	18	of	of	ADP
cana-1706	294	19	parameters	parameter	NOUN
cana-1706	294	20	which	which	PRON
cana-1706	294	21	offer	offer	VERB
cana-1706	294	22	maximum	maximum	ADJ
cana-1706	294	23	detection	detection	NOUN
cana-1706	294	24	with	with	ADP
cana-1706	294	25	least	least	ADJ
cana-1706	294	26	false	false	ADJ
cana-1706	294	27	-	-	PUNCT
cana-1706	294	28	positives	positive	NOUN
cana-1706	294	29	.	.	PUNCT
cana-1706	295	1	pso	pso	NOUN
cana-1706	295	2	,	,	PUNCT
cana-1706	295	3	however	however	ADV
cana-1706	295	4	,	,	PUNCT
cana-1706	295	5	is	be	AUX
cana-1706	295	6	used	use	VERB
cana-1706	295	7	to	to	PART
cana-1706	295	8	optimize	optimize	VERB
cana-1706	295	9	the	the	DET
cana-1706	295	10	resource	resource	NOUN
cana-1706	295	11	allocation	allocation	NOUN
cana-1706	295	12	of	of	ADP
cana-1706	295	13	the	the	DET
cana-1706	295	14	iot	iot	PROPN
cana-1706	295	15	devices	device	NOUN
cana-1706	295	16	to	to	PART
cana-1706	295	17	ensure	ensure	VERB
cana-1706	295	18	that	that	SCONJ
cana-1706	295	19	security	security	NOUN
cana-1706	295	20	model	model	NOUN
cana-1706	295	21	executes	execute	VERB
cana-1706	295	22	effectively	effectively	ADV
cana-1706	295	23	without	without	ADP
cana-1706	295	24	burdening	burden	VERB
cana-1706	295	25	the	the	DET
cana-1706	295	26	system	system	NOUN
cana-1706	295	27	.	.	PUNCT
cana-1706	296	1	algorithm	algorithm	NOUN
cana-1706	296	2	2	2	NUM
cana-1706	296	3	:	:	PUNCT
cana-1706	296	4	particle	particle	NOUN
cana-1706	296	5	swarm	swarm	NOUN
cana-1706	296	6	optimization	optimization	NOUN
cana-1706	296	7	(	(	PUNCT
cana-1706	296	8	pso	pso	NOUN
cana-1706	296	9	)	)	PUNCT
cana-1706	296	10	for	for	ADP
cana-1706	296	11	parameter	parameter	NOUN
cana-1706	296	12	tuning	tuning	NOUN
cana-1706	296	13	in	in	ADP
cana-1706	296	14	anomaly	anomaly	NOUN
cana-1706	296	15	detection	detection	NOUN
cana-1706	296	16	1	1	NUM
cana-1706	296	17	.	.	PUNCT
cana-1706	296	18	initialize	initialize	VERB
cana-1706	296	19	a	a	DET
cana-1706	296	20	swarm	swarm	NOUN
cana-1706	296	21	with	with	ADP
cana-1706	296	22	random	random	ADJ
cana-1706	296	23	position	position	NOUN
cana-1706	296	24	𝑥𝑖	𝑥𝑖	X
cana-1706	296	25	and	and	CCONJ
cana-1706	296	26	the	the	DET
cana-1706	296	27	velocity	velocity	NOUN
cana-1706	296	28	𝑣𝑖.	𝑣𝑖.	NOUN
cana-1706	296	29	2	2	NUM
cana-1706	296	30	.	.	PUNCT
cana-1706	297	1	for	for	ADP
cana-1706	297	2	each	each	DET
cana-1706	297	3	particle	particle	NOUN
cana-1706	297	4	,	,	PUNCT
cana-1706	297	5	evaluate	evaluate	VERB
cana-1706	297	6	fitness	fitness	NOUN
cana-1706	297	7	using	using	NOUN
cana-1706	297	8	:	:	PUNCT
cana-1706	297	9	𝐹(𝑥𝑖	𝐹(𝑥𝑖	NUM
cana-1706	297	10	)	)	PUNCT
cana-1706	297	11	=	=	SYM
cana-1706	297	12	1	1	NUM
cana-1706	297	13	1	1	NUM
cana-1706	297	14	+	+	CCONJ
cana-1706	297	15	∑	∑	PROPN
cana-1706	297	16	𝑛	𝑛	PRON
cana-1706	297	17	𝑖=1	𝑖=1	PROPN
cana-1706	297	18	(	(	PUNCT
cana-1706	297	19	𝑦𝑖	𝑦𝑖	PROPN
cana-1706	297	20	−	−	PROPN
cana-1706	297	21	�	�	PROPN
cana-1706	297	22	̂	̂	SYM
cana-1706	297	23	�	�	NOUN
cana-1706	297	24	𝑖)2	𝑖)2	ADJ
cana-1706	297	25	3	3	NUM
cana-1706	297	26	.	.	PUNCT
cana-1706	297	27	update	update	VERB
cana-1706	297	28	the	the	DET
cana-1706	297	29	personal	personal	ADJ
cana-1706	297	30	best	good	ADJ
cana-1706	297	31	and	and	CCONJ
cana-1706	297	32	global	global	ADJ
cana-1706	297	33	best	good	ADJ
cana-1706	297	34	fitness	fitness	NOUN
cana-1706	297	35	.	.	PUNCT
cana-1706	298	1	4	4	X
cana-1706	298	2	.	.	X
cana-1706	298	3	update	update	NOUN
cana-1706	298	4	velocity	velocity	NOUN
cana-1706	298	5	using	use	VERB
cana-1706	298	6	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-1706	298	7	+	+	CCONJ
cana-1706	298	8	1	1	X
cana-1706	298	9	)	)	PUNCT
cana-1706	298	10	=	=	SYM
cana-1706	298	11	𝑤𝑣𝑖(𝑡	𝑤𝑣𝑖(𝑡	PROPN
cana-1706	298	12	)	)	PUNCT
cana-1706	299	1	+	+	CCONJ
cana-1706	299	2	𝑐1𝑟1(𝑝𝑖	𝑐1𝑟1(𝑝𝑖	NOUN
cana-1706	299	3	−	−	NOUN
cana-1706	299	4	𝑥𝑖	𝑥𝑖	NOUN
cana-1706	299	5	)	)	PUNCT
cana-1706	300	1	+	+	CCONJ
cana-1706	301	1	𝑐2𝑟2(𝑔	𝑐2𝑟2(𝑔	NOUN
cana-1706	301	2	−	−	NOUN
cana-1706	301	3	𝑥𝑖	𝑥𝑖	NOUN
cana-1706	301	4	)	)	PUNCT
cana-1706	301	5	communications	communication	NOUN
cana-1706	301	6	on	on	ADP
cana-1706	301	7	applied	apply	VERB
cana-1706	301	8	nonlinear	nonlinear	ADJ
cana-1706	301	9	analysis	analysis	NOUN
cana-1706	301	10	issn	issn	NOUN
cana-1706	301	11	:	:	PUNCT
cana-1706	301	12	1074	1074	NUM
cana-1706	301	13	-	-	PUNCT
cana-1706	301	14	133x	133x	NUM
cana-1706	301	15	vol	vol	NOUN
cana-1706	301	16	32	32	NUM
cana-1706	301	17	no	no	NOUN
cana-1706	301	18	.	.	NOUN
cana-1706	301	19	2	2	NUM
cana-1706	301	20	(	(	PUNCT
cana-1706	301	21	2025	2025	NUM
cana-1706	301	22	)	)	PUNCT
cana-1706	301	23	42	42	NUM
cana-1706	301	24	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	301	25	5	5	X
cana-1706	301	26	.	.	PUNCT
cana-1706	301	27	update	update	NOUN
cana-1706	301	28	position	position	NOUN
cana-1706	301	29	:	:	PUNCT
cana-1706	301	30	𝑥𝑖(𝑡	𝑥𝑖(𝑡	NUM
cana-1706	302	1	+	+	SYM
cana-1706	302	2	1	1	X
cana-1706	302	3	)	)	PUNCT
cana-1706	302	4	=	=	NOUN
cana-1706	302	5	𝑥𝑖(𝑡	𝑥𝑖(𝑡	PUNCT
cana-1706	302	6	)	)	PUNCT
cana-1706	302	7	+	+	NUM
cana-1706	302	8	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-1706	302	9	+	+	CCONJ
cana-1706	302	10	1	1	NUM
cana-1706	302	11	)	)	PUNCT
cana-1706	302	12	6	6	NUM
cana-1706	302	13	.	.	PUNCT
cana-1706	302	14	repeat	repeat	VERB
cana-1706	302	15	until	until	ADP
cana-1706	302	16	convergence	convergence	NOUN
cana-1706	302	17	.	.	PUNCT
cana-1706	303	1	the	the	DET
cana-1706	303	2	optimization	optimization	NOUN
cana-1706	303	3	algorithms	algorithm	NOUN
cana-1706	303	4	ensure	ensure	VERB
cana-1706	303	5	that	that	SCONJ
cana-1706	303	6	the	the	DET
cana-1706	303	7	security	security	NOUN
cana-1706	303	8	models	model	NOUN
cana-1706	303	9	are	be	AUX
cana-1706	303	10	lightweight	lightweight	ADJ
cana-1706	303	11	so	so	SCONJ
cana-1706	303	12	they	they	PRON
cana-1706	303	13	remain	remain	VERB
cana-1706	303	14	efficient	efficient	ADJ
cana-1706	303	15	,	,	PUNCT
cana-1706	303	16	particularly	particularly	ADV
cana-1706	303	17	in	in	ADP
cana-1706	303	18	iot	iot	ADJ
cana-1706	303	19	networks	network	NOUN
cana-1706	303	20	where	where	SCONJ
cana-1706	303	21	devices	device	NOUN
cana-1706	303	22	tend	tend	VERB
cana-1706	303	23	to	to	PART
cana-1706	303	24	be	be	AUX
cana-1706	303	25	resource	resource	NOUN
cana-1706	303	26	-	-	PUNCT
cana-1706	303	27	constrained	constrain	VERB
cana-1706	303	28	.	.	PUNCT
cana-1706	304	1	the	the	DET
cana-1706	304	2	methodology	methodology	NOUN
cana-1706	304	3	,	,	PUNCT
cana-1706	304	4	based	base	VERB
cana-1706	304	5	on	on	ADP
cana-1706	304	6	dynamically	dynamically	ADV
cana-1706	304	7	adjusting	adjust	VERB
cana-1706	304	8	the	the	DET
cana-1706	304	9	detection	detection	NOUN
cana-1706	304	10	thresholds	threshold	NOUN
cana-1706	304	11	according	accord	VERB
cana-1706	304	12	to	to	ADP
cana-1706	304	13	the	the	DET
cana-1706	304	14	current	current	ADJ
cana-1706	304	15	network	network	NOUN
cana-1706	304	16	conditions	condition	NOUN
cana-1706	304	17	,	,	PUNCT
cana-1706	304	18	protects	protect	VERB
cana-1706	304	19	from	from	ADP
cana-1706	304	20	excessive	excessive	ADJ
cana-1706	304	21	amount	amount	NOUN
cana-1706	304	22	of	of	ADP
cana-1706	304	23	false	false	ADJ
cana-1706	304	24	alarms	alarm	NOUN
cana-1706	304	25	yet	yet	ADV
cana-1706	304	26	sustains	sustain	VERB
cana-1706	304	27	a	a	DET
cana-1706	304	28	high	high	ADJ
cana-1706	304	29	level	level	NOUN
cana-1706	304	30	of	of	ADP
cana-1706	304	31	security	security	NOUN
cana-1706	304	32	.	.	PUNCT
cana-1706	305	1	iot	iot	VERB
cana-1706	305	2	-	-	PUNCT
cana-1706	305	3	enabled	enable	VERB
cana-1706	305	4	buildings	building	NOUN
cana-1706	305	5	need	need	VERB
cana-1706	305	6	this	this	DET
cana-1706	305	7	level	level	NOUN
cana-1706	305	8	of	of	ADP
cana-1706	305	9	adaptability	adaptability	NOUN
cana-1706	305	10	as	as	SCONJ
cana-1706	305	11	devices	device	NOUN
cana-1706	305	12	may	may	AUX
cana-1706	305	13	experience	experience	VERB
cana-1706	305	14	varying	vary	VERB
cana-1706	305	15	network	network	NOUN
cana-1706	305	16	traffic	traffic	NOUN
cana-1706	305	17	levels	level	NOUN
cana-1706	305	18	or	or	CCONJ
cana-1706	305	19	the	the	DET
cana-1706	305	20	behaviors	behavior	NOUN
cana-1706	305	21	of	of	ADP
cana-1706	305	22	devices	device	NOUN
cana-1706	305	23	change	change	VERB
cana-1706	305	24	whether	whether	SCONJ
cana-1706	305	25	due	due	ADJ
cana-1706	305	26	to	to	PART
cana-1706	305	27	firmware	firmware	VERB
cana-1706	305	28	updates	update	NOUN
cana-1706	305	29	,	,	PUNCT
cana-1706	305	30	environmental	environmental	ADJ
cana-1706	305	31	fluctuations	fluctuation	NOUN
cana-1706	305	32	etc	etc	X
cana-1706	305	33	.	.	X
cana-1706	305	34	5	5	X
cana-1706	305	35	.	.	NOUN
cana-1706	305	36	edge	edge	NOUN
cana-1706	305	37	and	and	CCONJ
cana-1706	305	38	cloud	cloud	NOUN
cana-1706	305	39	computing	compute	VERB
cana-1706	305	40	environment	environment	NOUN
cana-1706	305	41	real	real	ADJ
cana-1706	305	42	time	time	NOUN
cana-1706	305	43	deployment	deployment	ADJ
cana-1706	305	44	real	real	ADJ
cana-1706	305	45	-	-	PUNCT
cana-1706	305	46	time	time	NOUN
cana-1706	305	47	detection	detection	NOUN
cana-1706	305	48	:	:	PUNCT
cana-1706	305	49	a	a	DET
cana-1706	305	50	challenge	challenge	NOUN
cana-1706	305	51	in	in	ADP
cana-1706	305	52	iot	iot	ADJ
cana-1706	305	53	cybersecurity	cybersecurity	NOUN
cana-1706	305	54	one	one	NUM
cana-1706	305	55	of	of	ADP
cana-1706	305	56	the	the	DET
cana-1706	305	57	key	key	ADJ
cana-1706	305	58	issues	issue	NOUN
cana-1706	305	59	in	in	ADP
cana-1706	305	60	iot	iot	PROPN
cana-1706	305	61	cybersecurity	cybersecurity	NOUN
cana-1706	305	62	is	be	AUX
cana-1706	305	63	real	real	ADJ
cana-1706	305	64	-	-	PUNCT
cana-1706	305	65	time	time	NOUN
cana-1706	305	66	detection	detection	NOUN
cana-1706	305	67	and	and	CCONJ
cana-1706	305	68	prevention	prevention	NOUN
cana-1706	305	69	of	of	ADP
cana-1706	305	70	cyber	cyber	PROPN
cana-1706	305	71	threats	threat	NOUN
cana-1706	305	72	.	.	PUNCT
cana-1706	306	1	the	the	DET
cana-1706	306	2	proposed	propose	VERB
cana-1706	306	3	methodology	methodology	NOUN
cana-1706	306	4	exploits	exploit	VERB
cana-1706	306	5	the	the	DET
cana-1706	306	6	characteristics	characteristic	NOUN
cana-1706	306	7	of	of	ADP
cana-1706	306	8	edge	edge	NOUN
cana-1706	306	9	and	and	CCONJ
cana-1706	306	10	cloud	cloud	NOUN
cana-1706	306	11	computing	computing	NOUN
cana-1706	306	12	(	(	PUNCT
cana-1706	306	13	and	and	CCONJ
cana-1706	306	14	their	their	PRON
cana-1706	306	15	capabilities	capability	NOUN
cana-1706	306	16	)	)	PUNCT
cana-1706	306	17	to	to	PART
cana-1706	306	18	deploy	deploy	VERB
cana-1706	306	19	anomaly	anomaly	NOUN
cana-1706	306	20	detection	detection	NOUN
cana-1706	306	21	models	model	NOUN
cana-1706	306	22	in	in	ADP
cana-1706	306	23	real	real	ADJ
cana-1706	306	24	-	-	PUNCT
cana-1706	306	25	time	time	NOUN
cana-1706	306	26	,	,	PUNCT
cana-1706	306	27	considering	consider	VERB
cana-1706	306	28	the	the	DET
cana-1706	306	29	fact	fact	NOUN
cana-1706	306	30	that	that	SCONJ
cana-1706	306	31	iot	iot	PROPN
cana-1706	306	32	networks	network	NOUN
cana-1706	306	33	are	be	AUX
cana-1706	306	34	decentralized	decentralize	VERB
cana-1706	306	35	and	and	CCONJ
cana-1706	306	36	distributed	distribute	VERB
cana-1706	306	37	with	with	ADP
cana-1706	306	38	devices	device	NOUN
cana-1706	306	39	being	be	AUX
cana-1706	306	40	often	often	ADV
cana-1706	306	41	at	at	ADP
cana-1706	306	42	remote	remote	ADJ
cana-1706	306	43	or	or	CCONJ
cana-1706	306	44	resource	resource	NOUN
cana-1706	306	45	-	-	PUNCT
cana-1706	306	46	constrained	constrain	VERB
cana-1706	306	47	locations	location	NOUN
cana-1706	306	48	.	.	PUNCT
cana-1706	307	1	𝐹(𝑥	𝐹(𝑥	X
cana-1706	307	2	)	)	PUNCT
cana-1706	307	3	=	=	SYM
cana-1706	307	4	1	1	NUM
cana-1706	307	5	1	1	NUM
cana-1706	307	6	+	+	CCONJ
cana-1706	307	7	𝑀𝑆𝐸	𝑀𝑆𝐸	PROPN
cana-1706	307	8	edge	edge	NOUN
cana-1706	307	9	computing	computing	NOUN
cana-1706	307	10	plays	play	VERB
cana-1706	307	11	a	a	DET
cana-1706	307	12	crucial	crucial	ADJ
cana-1706	307	13	part	part	NOUN
cana-1706	307	14	in	in	ADP
cana-1706	307	15	the	the	DET
cana-1706	307	16	model	model	NOUN
cana-1706	307	17	suggested	suggest	VERB
cana-1706	307	18	as	as	SCONJ
cana-1706	307	19	it	it	PRON
cana-1706	307	20	processes	process	VERB
cana-1706	307	21	data	datum	NOUN
cana-1706	307	22	closer	close	ADV
cana-1706	307	23	to	to	ADP
cana-1706	307	24	the	the	DET
cana-1706	307	25	source	source	NOUN
cana-1706	307	26	rather	rather	ADV
cana-1706	307	27	than	than	ADP
cana-1706	307	28	transmitting	transmit	VERB
cana-1706	307	29	all	all	DET
cana-1706	307	30	data	datum	NOUN
cana-1706	307	31	back	back	ADV
cana-1706	307	32	to	to	ADP
cana-1706	307	33	a	a	DET
cana-1706	307	34	central	central	ADJ
cana-1706	307	35	server	server	NOUN
cana-1706	307	36	for	for	ADP
cana-1706	307	37	analysis	analysis	NOUN
cana-1706	307	38	,	,	PUNCT
cana-1706	307	39	reducing	reduce	VERB
cana-1706	307	40	latency	latency	NOUN
cana-1706	307	41	.	.	PUNCT
cana-1706	308	1	𝑣𝑖(𝑡	𝑣𝑖(𝑡	NUM
cana-1706	309	1	+	+	CCONJ
cana-1706	309	2	1	1	X
cana-1706	309	3	)	)	PUNCT
cana-1706	309	4	=	=	SYM
cana-1706	309	5	𝑤𝑣𝑖(𝑡	𝑤𝑣𝑖(𝑡	PROPN
cana-1706	309	6	)	)	PUNCT
cana-1706	310	1	+	+	CCONJ
cana-1706	310	2	𝑐1𝑟1(𝑝𝑖	𝑐1𝑟1(𝑝𝑖	NOUN
cana-1706	310	3	−	−	NOUN
cana-1706	310	4	𝑥𝑖	𝑥𝑖	NOUN
cana-1706	310	5	)	)	PUNCT
cana-1706	311	1	+	+	CCONJ
cana-1706	311	2	𝑐2𝑟2(𝑔	𝑐2𝑟2(𝑔	NOUN
cana-1706	311	3	−	−	NOUN
cana-1706	311	4	𝑥𝑖	𝑥𝑖	NOUN
cana-1706	311	5	)	)	PUNCT
cana-1706	311	6	this	this	DET
cana-1706	311	7	architecture	architecture	NOUN
cana-1706	311	8	is	be	AUX
cana-1706	311	9	designed	design	VERB
cana-1706	311	10	to	to	PART
cana-1706	311	11	address	address	VERB
cana-1706	311	12	security	security	NOUN
cana-1706	311	13	issues	issue	NOUN
cana-1706	311	14	in	in	ADP
cana-1706	311	15	the	the	DET
cana-1706	311	16	future	future	NOUN
cana-1706	311	17	by	by	ADP
cana-1706	311	18	allowing	allow	VERB
cana-1706	311	19	the	the	DET
cana-1706	311	20	anomaly	anomaly	NOUN
cana-1706	311	21	detection	detection	NOUN
cana-1706	311	22	models	model	NOUN
cana-1706	311	23	to	to	PART
cana-1706	311	24	run	run	VERB
cana-1706	311	25	at	at	ADP
cana-1706	311	26	the	the	DET
cana-1706	311	27	edge	edge	NOUN
cana-1706	311	28	of	of	ADP
cana-1706	311	29	the	the	DET
cana-1706	311	30	network	network	NOUN
cana-1706	311	31	,	,	PUNCT
cana-1706	311	32	capable	capable	ADJ
cana-1706	311	33	of	of	ADP
cana-1706	311	34	detecting	detect	VERB
cana-1706	311	35	and	and	CCONJ
cana-1706	311	36	responding	respond	VERB
cana-1706	311	37	to	to	ADP
cana-1706	311	38	threats	threat	NOUN
cana-1706	311	39	instantaneously	instantaneously	ADV
cana-1706	311	40	reducing	reduce	VERB
cana-1706	311	41	response	response	NOUN
cana-1706	311	42	time	time	NOUN
cana-1706	311	43	and	and	CCONJ
cana-1706	311	44	thus	thus	ADV
cana-1706	311	45	ensuring	ensure	VERB
cana-1706	311	46	that	that	SCONJ
cana-1706	311	47	security	security	NOUN
cana-1706	311	48	incidents	incident	NOUN
cana-1706	311	49	can	can	AUX
cana-1706	311	50	be	be	AUX
cana-1706	311	51	effectively	effectively	ADV
cana-1706	311	52	countered	counter	VERB
cana-1706	311	53	before	before	SCONJ
cana-1706	311	54	they	they	PRON
cana-1706	311	55	wreak	wreak	VERB
cana-1706	311	56	havoc	havoc	NOUN
cana-1706	311	57	across	across	ADP
cana-1706	311	58	the	the	DET
cana-1706	311	59	network	network	NOUN
cana-1706	311	60	.	.	PUNCT
cana-1706	312	1	𝐿(𝑦	𝐿(𝑦	NOUN
cana-1706	312	2	,	,	PUNCT
cana-1706	312	3	�	�	NOUN
cana-1706	312	4	̂	̂	NOUN
cana-1706	312	5	�	�	NOUN
cana-1706	312	6	)	)	PUNCT
cana-1706	312	7	=	=	SYM
cana-1706	312	8	−	−	PROPN
cana-1706	312	9	∑	∑	PUNCT
cana-1706	312	10	𝑛	𝑛	PRON
cana-1706	312	11	𝑖=1	𝑖=1	PROPN
cana-1706	312	12	𝑦𝑖𝑙𝑜𝑔(	𝑦𝑖𝑙𝑜𝑔(	VERB
cana-1706	312	13	�	�	PROPN
cana-1706	312	14	̂	̂	VERB
cana-1706	312	15	�	�	NOUN
cana-1706	312	16	𝑖	𝑖	PART
cana-1706	312	17	)	)	PUNCT
cana-1706	312	18	the	the	DET
cana-1706	312	19	method	method	NOUN
cana-1706	312	20	also	also	ADV
cana-1706	312	21	includes	include	VERB
cana-1706	312	22	the	the	DET
cana-1706	312	23	use	use	NOUN
cana-1706	312	24	of	of	ADP
cana-1706	312	25	cloud	cloud	NOUN
cana-1706	312	26	computing	computing	NOUN
cana-1706	312	27	for	for	ADP
cana-1706	312	28	advanced	advanced	ADJ
cana-1706	312	29	analytics	analytic	NOUN
cana-1706	312	30	on	on	ADP
cana-1706	312	31	more	more	ADV
cana-1706	312	32	detailed	detailed	ADJ
cana-1706	312	33	data	datum	NOUN
cana-1706	312	34	and	and	CCONJ
cana-1706	312	35	model	model	NOUN
cana-1706	312	36	training	training	NOUN
cana-1706	312	37	.	.	PUNCT
cana-1706	313	1	this	this	DET
cana-1706	313	2	computational	computational	ADJ
cana-1706	313	3	power	power	NOUN
cana-1706	313	4	is	be	AUX
cana-1706	313	5	what	what	PRON
cana-1706	313	6	comes	come	VERB
cana-1706	313	7	with	with	ADP
cana-1706	313	8	the	the	DET
cana-1706	313	9	cloud	cloud	NOUN
cana-1706	313	10	,	,	PUNCT
cana-1706	313	11	and	and	CCONJ
cana-1706	313	12	it	it	PRON
cana-1706	313	13	allows	allow	VERB
cana-1706	313	14	to	to	PART
cana-1706	313	15	actually	actually	ADV
cana-1706	313	16	train	train	VERB
cana-1706	313	17	deep	deep	ADJ
cana-1706	313	18	learning	learning	NOUN
cana-1706	313	19	models	model	NOUN
cana-1706	313	20	on	on	ADP
cana-1706	313	21	large	large	ADJ
cana-1706	313	22	datasets	dataset	NOUN
cana-1706	313	23	something	something	PRON
cana-1706	313	24	that	that	PRON
cana-1706	313	25	would	would	AUX
cana-1706	313	26	simply	simply	ADV
cana-1706	313	27	not	not	PART
cana-1706	313	28	be	be	AUX
cana-1706	313	29	possible	possible	ADJ
cana-1706	313	30	on	on	ADP
cana-1706	313	31	an	an	DET
cana-1706	313	32	iot	iot	ADJ
cana-1706	313	33	edge	edge	NOUN
cana-1706	313	34	device	device	NOUN
cana-1706	313	35	.	.	PUNCT
cana-1706	314	1	𝜎(𝑧𝑗	𝜎(𝑧𝑗	X
cana-1706	314	2	)	)	PUNCT
cana-1706	314	3	=	=	VERB
cana-1706	314	4	𝑒𝑧𝑗	𝑒𝑧𝑗	VERB
cana-1706	314	5	∑	∑	PUNCT
cana-1706	314	6	𝐾	𝐾	PROPN
cana-1706	314	7	𝑘=1	𝑘=1	ADJ
cana-1706	314	8	𝑒𝑧𝑘	𝑒𝑧𝑘	NOUN
cana-1706	314	9	these	these	DET
cana-1706	314	10	trained	train	VERB
cana-1706	314	11	models	model	NOUN
cana-1706	314	12	can	can	AUX
cana-1706	314	13	then	then	ADV
cana-1706	314	14	be	be	AUX
cana-1706	314	15	deployed	deploy	VERB
cana-1706	314	16	to	to	ADP
cana-1706	314	17	the	the	DET
cana-1706	314	18	edge	edge	NOUN
cana-1706	314	19	for	for	ADP
cana-1706	314	20	real	real	ADJ
cana-1706	314	21	-	-	PUNCT
cana-1706	314	22	time	time	NOUN
cana-1706	314	23	anamoly	anamoly	ADJ
cana-1706	314	24	detection	detection	NOUN
cana-1706	314	25	.	.	PUNCT
cana-1706	315	1	by	by	ADP
cana-1706	315	2	using	use	VERB
cana-1706	315	3	edge	edge	NOUN
cana-1706	315	4	computing	compute	VERB
cana-1706	315	5	firm	firm	ADJ
cana-1706	315	6	machines	machine	NOUN
cana-1706	315	7	to	to	PART
cana-1706	315	8	act	act	VERB
cana-1706	315	9	as	as	ADP
cana-1706	315	10	decision	decision	NOUN
cana-1706	315	11	-	-	PUNCT
cana-1706	315	12	makers	maker	NOUN
cana-1706	315	13	at	at	ADP
cana-1706	315	14	the	the	DET
cana-1706	315	15	top	top	NOUN
cana-1706	315	16	of	of	ADP
cana-1706	315	17	the	the	DET
cana-1706	315	18	network	network	NOUN
cana-1706	315	19	,	,	PUNCT
cana-1706	315	20	and	and	CCONJ
cana-1706	315	21	allow	allow	VERB
cana-1706	315	22	cloud	cloud	NOUN
cana-1706	315	23	technology	technology	NOUN
cana-1706	315	24	for	for	ADP
cana-1706	315	25	processing	processing	NOUN
cana-1706	315	26	and	and	CCONJ
cana-1706	315	27	built	build	VERB
cana-1706	315	28	up	up	ADP
cana-1706	315	29	deep	deep	ADJ
cana-1706	315	30	domain	domain	NOUN
cana-1706	315	31	expertise	expertise	NOUN
cana-1706	315	32	workflows	workflow	NOUN
cana-1706	315	33	that	that	PRON
cana-1706	315	34	are	be	AUX
cana-1706	315	35	used	use	VERB
cana-1706	315	36	by	by	ADP
cana-1706	315	37	cyberx	cyberx	NOUN
cana-1706	315	38	's	's	PART
cana-1706	315	39	ics	ics	NOUN
cana-1706	315	40	asset	asset	NOUN
cana-1706	315	41	inventory	inventory	NOUN
cana-1706	315	42	,	,	PUNCT
cana-1706	315	43	continuous	continuous	ADJ
cana-1706	315	44	monitoring	monitoring	NOUN
cana-1706	315	45	capabilities	capability	NOUN
cana-1706	315	46	along	along	ADP
cana-1706	315	47	with	with	ADP
cana-1706	315	48	advanced	advanced	ADJ
cana-1706	315	49	behavioral	behavioral	ADJ
cana-1706	315	50	analytics	analytic	NOUN
cana-1706	315	51	algorithms	algorithm	NOUN
cana-1706	315	52	.	.	PUNCT
cana-1706	316	1	communications	communication	NOUN
cana-1706	316	2	on	on	ADP
cana-1706	316	3	applied	apply	VERB
cana-1706	316	4	nonlinear	nonlinear	ADJ
cana-1706	316	5	analysis	analysis	NOUN
cana-1706	316	6	issn	issn	NOUN
cana-1706	316	7	:	:	PUNCT
cana-1706	316	8	1074	1074	NUM
cana-1706	316	9	-	-	PUNCT
cana-1706	316	10	133x	133x	NUM
cana-1706	316	11	vol	vol	NOUN
cana-1706	316	12	32	32	NUM
cana-1706	316	13	no	no	NOUN
cana-1706	316	14	.	.	NOUN
cana-1706	316	15	2	2	NUM
cana-1706	316	16	(	(	PUNCT
cana-1706	316	17	2025	2025	NUM
cana-1706	316	18	)	)	PUNCT
cana-1706	316	19	43	43	NUM
cana-1706	317	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	317	2	6	6	NUM
cana-1706	317	3	.	.	PUNCT
cana-1706	317	4	changing	change	VERB
cana-1706	317	5	iot	iot	ADJ
cana-1706	317	6	environments	environment	NOUN
cana-1706	317	7	and	and	CCONJ
cana-1706	317	8	adaptability	adaptability	NOUN
cana-1706	317	9	to	to	ADP
cana-1706	317	10	learning	learn	VERB
cana-1706	317	11	one	one	NUM
cana-1706	317	12	of	of	ADP
cana-1706	317	13	iot	iot	PROPN
cana-1706	317	14	networks	network	NOUN
cana-1706	317	15	most	most	ADV
cana-1706	317	16	critical	critical	ADJ
cana-1706	317	17	pieces	piece	NOUN
cana-1706	317	18	include	include	VERB
cana-1706	317	19	the	the	DET
cana-1706	317	20	fact	fact	NOUN
cana-1706	317	21	that	that	SCONJ
cana-1706	317	22	they	they	PRON
cana-1706	317	23	are	be	AUX
cana-1706	317	24	inherently	inherently	ADV
cana-1706	317	25	dynamic	dynamic	ADJ
cana-1706	317	26	in	in	ADP
cana-1706	317	27	which	which	PRON
cana-1706	317	28	devices	device	NOUN
cana-1706	317	29	are	be	AUX
cana-1706	317	30	added	add	VERB
cana-1706	317	31	,	,	PUNCT
cana-1706	317	32	removed	remove	VERB
cana-1706	317	33	or	or	CCONJ
cana-1706	317	34	updated	update	VERB
cana-1706	317	35	on	on	ADP
cana-1706	317	36	a	a	DET
cana-1706	317	37	regular	regular	ADJ
cana-1706	317	38	basis	basis	NOUN
cana-1706	317	39	.	.	PUNCT
cana-1706	318	1	this	this	DET
cana-1706	318	2	methodology	methodology	NOUN
cana-1706	318	3	has	have	VERB
cana-1706	318	4	provisions	provision	NOUN
cana-1706	318	5	for	for	ADP
cana-1706	318	6	learning	learn	VERB
cana-1706	318	7	,	,	PUNCT
cana-1706	318	8	adapting	adapt	VERB
cana-1706	318	9	and	and	CCONJ
cana-1706	318	10	evolving	evolve	VERB
cana-1706	318	11	,	,	PUNCT
cana-1706	318	12	to	to	PART
cana-1706	318	13	make	make	VERB
cana-1706	318	14	the	the	DET
cana-1706	318	15	models	model	NOUN
cana-1706	318	16	stable	stable	ADJ
cana-1706	318	17	overtime	overtime	NOUN
cana-1706	318	18	in	in	ADP
cana-1706	318	19	the	the	DET
cana-1706	318	20	anarchical	anarchical	ADJ
cana-1706	318	21	environment	environment	NOUN
cana-1706	318	22	.	.	PUNCT
cana-1706	319	1	one	one	NUM
cana-1706	319	2	way	way	NOUN
cana-1706	319	3	to	to	PART
cana-1706	319	4	solve	solve	VERB
cana-1706	319	5	this	this	PRON
cana-1706	319	6	is	be	AUX
cana-1706	319	7	using	use	VERB
cana-1706	319	8	online	online	ADJ
cana-1706	319	9	learning	learning	NOUN
cana-1706	319	10	,	,	PUNCT
cana-1706	319	11	where	where	SCONJ
cana-1706	319	12	machine	machine	NOUN
cana-1706	319	13	learning	learn	VERB
cana-1706	319	14	algorithms	algorithm	NOUN
cana-1706	319	15	are	be	AUX
cana-1706	319	16	constantly	constantly	ADV
cana-1706	319	17	updated	update	VERB
cana-1706	319	18	based	base	VERB
cana-1706	319	19	on	on	ADP
cana-1706	319	20	new	new	ADJ
cana-1706	319	21	data	datum	NOUN
cana-1706	319	22	.	.	PUNCT
cana-1706	320	1	it	it	PRON
cana-1706	320	2	enables	enable	VERB
cana-1706	320	3	the	the	DET
cana-1706	320	4	models	model	NOUN
cana-1706	320	5	to	to	PART
cana-1706	320	6	adjust	adjust	VERB
cana-1706	320	7	with	with	ADP
cana-1706	320	8	proper	proper	ADJ
cana-1706	320	9	behavior	behavior	NOUN
cana-1706	320	10	of	of	ADP
cana-1706	320	11	the	the	DET
cana-1706	320	12	device	device	NOUN
cana-1706	320	13	and	and	CCONJ
cana-1706	320	14	network	network	NOUN
cana-1706	320	15	conditions	condition	NOUN
cana-1706	320	16	as	as	ADV
cana-1706	320	17	well	well	ADV
cana-1706	320	18	.	.	PUNCT
cana-1706	321	1	𝑄(𝜃	𝑄(𝜃	PRON
cana-1706	321	2	∣	∣	PROPN
cana-1706	321	3	𝜃(𝑡	𝜃(𝑡	PROPN
cana-1706	321	4	)	)	PUNCT
cana-1706	321	5	)	)	PUNCT
cana-1706	322	1	=	=	SYM
cana-1706	322	2	𝐸[𝑙𝑜𝑔𝐿(𝜃	𝐸[𝑙𝑜𝑔𝐿(𝜃	NOUN
cana-1706	322	3	;	;	PUNCT
cana-1706	322	4	𝑋	𝑋	PROPN
cana-1706	322	5	)	)	PUNCT
cana-1706	322	6	∣	∣	PROPN
cana-1706	322	7	𝑋	𝑋	PROPN
cana-1706	322	8	,	,	PUNCT
cana-1706	322	9	𝜃(𝑡	𝜃(𝑡	PROPN
cana-1706	322	10	)	)	PUNCT
cana-1706	322	11	]	]	PUNCT
cana-1706	323	1	moreover	moreover	ADV
cana-1706	323	2	,	,	PUNCT
cana-1706	323	3	the	the	DET
cana-1706	323	4	approach	approach	NOUN
cana-1706	323	5	includes	include	VERB
cana-1706	323	6	transfer	transfer	NOUN
cana-1706	323	7	learning	learning	NOUN
cana-1706	323	8	allowing	allow	VERB
cana-1706	323	9	models	model	NOUN
cana-1706	323	10	trained	train	VERB
cana-1706	323	11	on	on	ADP
cana-1706	323	12	different	different	ADJ
cana-1706	323	13	devices	device	NOUN
cana-1706	323	14	or	or	CCONJ
cana-1706	323	15	networks	network	NOUN
cana-1706	323	16	to	to	PART
cana-1706	323	17	be	be	AUX
cana-1706	323	18	ported	port	VERB
cana-1706	323	19	to	to	ADP
cana-1706	323	20	a	a	DET
cana-1706	323	21	new	new	ADJ
cana-1706	323	22	environment	environment	NOUN
cana-1706	323	23	without	without	ADP
cana-1706	323	24	the	the	DET
cana-1706	323	25	necessitate	necessitate	NOUN
cana-1706	323	26	of	of	ADP
cana-1706	323	27	more	more	ADJ
cana-1706	323	28	than	than	ADP
cana-1706	323	29	retraining	retrain	VERB
cana-1706	323	30	.	.	PUNCT
cana-1706	324	1	𝑤𝑇𝑥	𝑤𝑇𝑥	ADV
cana-1706	324	2	+	+	PUNCT
cana-1706	324	3	𝑏	𝑏	NOUN
cana-1706	324	4	=	=	SYM
cana-1706	324	5	0	0	NUM
cana-1706	324	6	this	this	PRON
cana-1706	324	7	is	be	AUX
cana-1706	324	8	especially	especially	ADV
cana-1706	324	9	helpful	helpful	ADJ
cana-1706	324	10	in	in	ADP
cana-1706	324	11	iot	iot	PROPN
cana-1706	324	12	networks	network	NOUN
cana-1706	324	13	as	as	SCONJ
cana-1706	324	14	it	it	PRON
cana-1706	324	15	allows	allow	VERB
cana-1706	324	16	to	to	PART
cana-1706	324	17	onboard	onboard	VERB
cana-1706	324	18	new	new	ADJ
cana-1706	324	19	devices	device	NOUN
cana-1706	324	20	with	with	ADP
cana-1706	324	21	various	various	ADJ
cana-1706	324	22	traits	trait	NOUN
cana-1706	324	23	all	all	DET
cana-1706	324	24	the	the	DET
cana-1706	324	25	time	time	NOUN
cana-1706	324	26	.	.	PUNCT
cana-1706	325	1	transfer	transfer	NOUN
cana-1706	325	2	learning	learning	NOUN
cana-1706	325	3	helps	help	VERB
cana-1706	325	4	eliminate	eliminate	VERB
cana-1706	325	5	the	the	DET
cana-1706	325	6	need	need	NOUN
cana-1706	325	7	to	to	PART
cana-1706	325	8	train	train	VERB
cana-1706	325	9	models	model	NOUN
cana-1706	325	10	from	from	ADP
cana-1706	325	11	scratch	scratch	NOUN
cana-1706	325	12	,	,	PUNCT
cana-1706	325	13	conserving	conserve	VERB
cana-1706	325	14	computational	computational	ADJ
cana-1706	325	15	resources	resource	NOUN
cana-1706	325	16	and	and	CCONJ
cana-1706	325	17	making	make	VERB
cana-1706	325	18	the	the	DET
cana-1706	325	19	security	security	NOUN
cana-1706	325	20	solution	solution	NOUN
cana-1706	325	21	easier	easy	ADJ
cana-1706	325	22	to	to	PART
cana-1706	325	23	scale	scale	VERB
cana-1706	325	24	.	.	PUNCT
cana-1706	326	1	𝑔(𝑥	𝑔(𝑥	NOUN
cana-1706	326	2	)	)	PUNCT
cana-1706	327	1	=	=	PUNCT
cana-1706	327	2	𝑚𝑎𝑥(0	𝑚𝑎𝑥(0	ADJ
cana-1706	327	3	,	,	PUNCT
cana-1706	327	4	𝑥	𝑥	NOUN
cana-1706	327	5	)	)	PUNCT
cana-1706	327	6	in	in	ADP
cana-1706	327	7	addition	addition	NOUN
cana-1706	327	8	to	to	ADP
cana-1706	327	9	the	the	DET
cana-1706	327	10	mechanism	mechanism	NOUN
cana-1706	327	11	for	for	ADP
cana-1706	327	12	feedback	feedback	NOUN
cana-1706	327	13	,	,	PUNCT
cana-1706	327	14	this	this	DET
cana-1706	327	15	proposed	propose	VERB
cana-1706	327	16	methodology	methodology	NOUN
cana-1706	327	17	also	also	ADV
cana-1706	327	18	incorporates	incorporate	VERB
cana-1706	327	19	ability	ability	NOUN
cana-1706	327	20	to	to	PART
cana-1706	327	21	perform	perform	VERB
cana-1706	327	22	reinforcement	reinforcement	NOUN
cana-1706	327	23	learning	learning	NOUN
cana-1706	327	24	mechanisms	mechanism	NOUN
cana-1706	327	25	where	where	SCONJ
cana-1706	327	26	model	model	NOUN
cana-1706	327	27	feedback	feedback	NOUN
cana-1706	327	28	is	be	AUX
cana-1706	327	29	provided	provide	VERB
cana-1706	327	30	based	base	VERB
cana-1706	327	31	on	on	ADP
cana-1706	327	32	a	a	DET
cana-1706	327	33	decision	decision	NOUN
cana-1706	327	34	and	and	CCONJ
cana-1706	327	35	it	it	PRON
cana-1706	327	36	adjust	adjust	VERB
cana-1706	327	37	parameters	parameter	NOUN
cana-1706	327	38	thereby	thereby	ADV
cana-1706	327	39	.	.	PUNCT
cana-1706	328	1	𝐸	𝐸	PROPN
cana-1706	328	2	=	=	PUNCT
cana-1706	328	3	∑	∑	PUNCT
cana-1706	328	4	𝑛	𝑛	PRON
cana-1706	328	5	𝑖=1	𝑖=1	PUNCT
cana-1706	329	1	𝑃𝑖	𝑃𝑖	ADP
cana-1706	329	2	⋅	⋅	NUM
cana-1706	329	3	𝑡𝑖	𝑡𝑖	NOUN
cana-1706	329	4	for	for	ADP
cana-1706	329	5	instance	instance	NOUN
cana-1706	329	6	,	,	PUNCT
cana-1706	329	7	if	if	SCONJ
cana-1706	329	8	the	the	DET
cana-1706	329	9	model	model	NOUN
cana-1706	329	10	incorrectly	incorrectly	ADV
cana-1706	329	11	flags	flag	VERB
cana-1706	329	12	a	a	DET
cana-1706	329	13	false	false	ADJ
cana-1706	329	14	positive	positive	NOUN
cana-1706	329	15	,	,	PUNCT
cana-1706	329	16	then	then	ADV
cana-1706	329	17	that	that	DET
cana-1706	329	18	misinformation	misinformation	NOUN
cana-1706	329	19	is	be	AUX
cana-1706	329	20	collected	collect	VERB
cana-1706	329	21	into	into	ADP
cana-1706	329	22	the	the	DET
cana-1706	329	23	second	second	ADJ
cana-1706	329	24	process	process	NOUN
cana-1706	329	25	to	to	PART
cana-1706	329	26	train	train	VERB
cana-1706	329	27	the	the	DET
cana-1706	329	28	model	model	NOUN
cana-1706	329	29	to	to	PART
cana-1706	329	30	not	not	PART
cana-1706	329	31	make	make	VERB
cana-1706	329	32	that	that	PRON
cana-1706	329	33	fake	fake	ADJ
cana-1706	329	34	again	again	ADV
cana-1706	329	35	by	by	ADP
cana-1706	329	36	adjusting	adjust	VERB
cana-1706	329	37	how	how	SCONJ
cana-1706	329	38	they	they	PRON
cana-1706	329	39	decide	decide	VERB
cana-1706	329	40	.	.	PUNCT
cana-1706	330	1	over	over	ADP
cana-1706	330	2	time	time	NOUN
cana-1706	330	3	,	,	PUNCT
cana-1706	330	4	this	this	DET
cana-1706	330	5	continual	continual	ADJ
cana-1706	330	6	learning	learning	NOUN
cana-1706	330	7	results	result	NOUN
cana-1706	330	8	in	in	ADP
cana-1706	330	9	more	more	ADV
cana-1706	330	10	accurate	accurate	ADJ
cana-1706	330	11	models	model	NOUN
cana-1706	330	12	that	that	PRON
cana-1706	330	13	can	can	AUX
cana-1706	330	14	better	well	ADV
cana-1706	330	15	adapt	adapt	VERB
cana-1706	330	16	to	to	ADP
cana-1706	330	17	changes	change	NOUN
cana-1706	330	18	in	in	ADP
cana-1706	330	19	threats	threat	NOUN
cana-1706	330	20	.	.	PUNCT
cana-1706	331	1	7	7	X
cana-1706	331	2	.	.	X
cana-1706	331	3	metrics	metric	NOUN
cana-1706	331	4	evaluation	evaluation	NOUN
cana-1706	331	5	and	and	CCONJ
cana-1706	331	6	performance	performance	NOUN
cana-1706	331	7	assessment	assessment	NOUN
cana-1706	331	8	in	in	ADP
cana-1706	331	9	the	the	DET
cana-1706	331	10	third	third	ADJ
cana-1706	331	11	part	part	NOUN
cana-1706	331	12	of	of	ADP
cana-1706	331	13	our	our	PRON
cana-1706	331	14	approach	approach	NOUN
cana-1706	331	15	,	,	PUNCT
cana-1706	331	16	we	we	PRON
cana-1706	331	17	evaluate	evaluate	VERB
cana-1706	331	18	the	the	DET
cana-1706	331	19	results	result	NOUN
cana-1706	331	20	provided	provide	VERB
cana-1706	331	21	by	by	ADP
cana-1706	331	22	anomaly	anomaly	NOUN
cana-1706	331	23	detection	detection	NOUN
cana-1706	331	24	models	model	NOUN
cana-1706	331	25	with	with	ADP
cana-1706	331	26	evaluation	evaluation	NOUN
cana-1706	331	27	metrics	metric	NOUN
cana-1706	331	28	suitable	suitable	ADJ
cana-1706	331	29	for	for	ADP
cana-1706	331	30	performance	performance	NOUN
cana-1706	331	31	.	.	PUNCT
cana-1706	332	1	performance	performance	NOUN
cana-1706	332	2	:	:	PUNCT
cana-1706	332	3	detection	detection	NOUN
cana-1706	332	4	accuracy	accuracy	NOUN
cana-1706	332	5	,	,	PUNCT
cana-1706	332	6	precision	precision	NOUN
cana-1706	332	7	/	/	SYM
cana-1706	332	8	recall	recall	NOUN
cana-1706	332	9	rate	rate	NOUN
cana-1706	332	10	,	,	PUNCT
cana-1706	332	11	false	false	ADJ
cana-1706	332	12	positive	positive	ADJ
cana-1706	332	13	rate	rate	NOUN
cana-1706	332	14	and	and	CCONJ
cana-1706	332	15	computational	computational	ADJ
cana-1706	332	16	efficiency	efficiency	NOUN
cana-1706	332	17	.	.	PUNCT
cana-1706	333	1	detection	detection	NOUN
cana-1706	333	2	accuracy	accuracy	NOUN
cana-1706	333	3	(	(	PUNCT
cana-1706	333	4	how	how	SCONJ
cana-1706	333	5	good	good	ADJ
cana-1706	333	6	the	the	DET
cana-1706	333	7	model	model	NOUN
cana-1706	333	8	detects	detect	NOUN
cana-1706	333	9	anomalies	anomaly	NOUN
cana-1706	333	10	)	)	PUNCT
cana-1706	333	11	is	be	AUX
cana-1706	333	12	measured	measure	VERB
cana-1706	333	13	by	by	ADP
cana-1706	333	14	using	use	VERB
cana-1706	333	15	precision	precision	NOUN
cana-1706	333	16	and	and	CCONJ
cana-1706	333	17	recall	recall	NOUN
cana-1706	333	18	which	which	PRON
cana-1706	333	19	measure	measure	VERB
cana-1706	333	20	how	how	SCONJ
cana-1706	333	21	good	good	ADJ
cana-1706	333	22	your	your	PRON
cana-1706	333	23	model	model	NOUN
cana-1706	333	24	identifies	identify	VERB
cana-1706	333	25	true	true	ADJ
cana-1706	333	26	positives	positive	NOUN
cana-1706	333	27	with	with	ADP
cana-1706	333	28	minimal	minimal	ADJ
cana-1706	333	29	harm	harm	NOUN
cana-1706	333	30	from	from	ADP
cana-1706	333	31	incorrect	incorrect	ADJ
cana-1706	333	32	responses	response	NOUN
cana-1706	333	33	.	.	PUNCT
cana-1706	334	1	metric	metric	ADJ
cana-1706	334	2	supervised	supervised	ADJ
cana-1706	334	3	learning	learning	NOUN
cana-1706	334	4	model	model	NOUN
cana-1706	334	5	unsupervised	unsupervised	ADJ
cana-1706	334	6	learning	learning	NOUN
cana-1706	334	7	model	model	NOUN
cana-1706	334	8	hybrid	hybrid	NOUN
cana-1706	334	9	model	model	NOUN
cana-1706	334	10	detection	detection	NOUN
cana-1706	334	11	accuracy	accuracy	NOUN
cana-1706	334	12	(	(	PUNCT
cana-1706	334	13	%	%	NOUN
cana-1706	334	14	)	)	PUNCT
cana-1706	334	15	89.5	89.5	NUM
cana-1706	334	16	78.3	78.3	NUM
cana-1706	334	17	94.1	94.1	NUM
cana-1706	334	18	false	false	ADJ
cana-1706	334	19	positive	positive	ADJ
cana-1706	334	20	rate	rate	NOUN
cana-1706	334	21	(	(	PUNCT
cana-1706	334	22	%	%	INTJ
cana-1706	334	23	)	)	PUNCT
cana-1706	334	24	2.3	2.3	NUM
cana-1706	334	25	4.7	4.7	NUM
cana-1706	334	26	1.9	1.9	NUM
cana-1706	334	27	communications	communication	NOUN
cana-1706	334	28	on	on	ADP
cana-1706	334	29	applied	apply	VERB
cana-1706	334	30	nonlinear	nonlinear	ADJ
cana-1706	334	31	analysis	analysis	NOUN
cana-1706	334	32	issn	issn	NOUN
cana-1706	334	33	:	:	PUNCT
cana-1706	334	34	1074	1074	NUM
cana-1706	334	35	-	-	PUNCT
cana-1706	334	36	133x	133x	NUM
cana-1706	334	37	vol	vol	NOUN
cana-1706	334	38	32	32	NUM
cana-1706	334	39	no	no	NOUN
cana-1706	334	40	.	.	NOUN
cana-1706	334	41	2	2	NUM
cana-1706	334	42	(	(	PUNCT
cana-1706	334	43	2025	2025	NUM
cana-1706	334	44	)	)	PUNCT
cana-1706	334	45	44	44	NUM
cana-1706	334	46	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	334	47	metric	metric	ADJ
cana-1706	334	48	supervised	supervised	ADJ
cana-1706	334	49	learning	learning	NOUN
cana-1706	334	50	model	model	NOUN
cana-1706	334	51	unsupervised	unsupervised	ADJ
cana-1706	334	52	learning	learning	NOUN
cana-1706	334	53	model	model	NOUN
cana-1706	334	54	hybrid	hybrid	PROPN
cana-1706	334	55	model	model	NOUN
cana-1706	334	56	energy	energy	NOUN
cana-1706	334	57	consumption	consumption	NOUN
cana-1706	334	58	(	(	PUNCT
cana-1706	334	59	j	j	NOUN
cana-1706	334	60	)	)	PUNCT
cana-1706	334	61	25.8	25.8	NUM
cana-1706	334	62	20.3	20.3	NUM
cana-1706	334	63	22.1	22.1	NUM
cana-1706	334	64	latency	latency	NOUN
cana-1706	334	65	(	(	PUNCT
cana-1706	334	66	ms	ms	PROPN
cana-1706	334	67	)	)	PUNCT
cana-1706	334	68	15.4	15.4	NUM
cana-1706	334	69	9.7	9.7	NUM
cana-1706	334	70	13.2	13.2	NUM
cana-1706	334	71	scalability	scalability	NOUN
cana-1706	334	72	moderate	moderate	ADJ
cana-1706	334	73	high	high	ADJ
cana-1706	334	74	high	high	ADJ
cana-1706	334	75	table	table	NOUN
cana-1706	334	76	2	2	NUM
cana-1706	334	77	.	.	PUNCT
cana-1706	334	78	model	model	NOUN
cana-1706	334	79	performance	performance	NOUN
cana-1706	334	80	evaluation	evaluation	NOUN
cana-1706	334	81	in	in	ADP
cana-1706	334	82	iot	iot	ADJ
cana-1706	334	83	security	security	NOUN
cana-1706	334	84	,	,	PUNCT
cana-1706	334	85	false	false	ADJ
cana-1706	334	86	-	-	PUNCT
cana-1706	334	87	positive	positive	ADJ
cana-1706	334	88	rate	rate	NOUN
cana-1706	334	89	is	be	AUX
cana-1706	334	90	an	an	DET
cana-1706	334	91	important	important	ADJ
cana-1706	334	92	measure	measure	NOUN
cana-1706	334	93	as	as	ADP
cana-1706	334	94	too	too	ADV
cana-1706	334	95	many	many	ADJ
cana-1706	334	96	alarms	alarm	NOUN
cana-1706	334	97	that	that	PRON
cana-1706	334	98	turn	turn	VERB
cana-1706	334	99	out	out	ADP
cana-1706	334	100	to	to	PART
cana-1706	334	101	be	be	AUX
cana-1706	334	102	nothing	nothing	PRON
cana-1706	334	103	can	can	AUX
cana-1706	334	104	wear	wear	VERB
cana-1706	334	105	down	down	ADP
cana-1706	334	106	your	your	PRON
cana-1706	334	107	security	security	NOUN
cana-1706	334	108	team	team	NOUN
cana-1706	334	109	(	(	PUNCT
cana-1706	334	110	a	a	DET
cana-1706	334	111	phenomenon	phenomenon	NOUN
cana-1706	334	112	known	know	VERB
cana-1706	334	113	as	as	ADP
cana-1706	334	114	"	"	PUNCT
cana-1706	334	115	alert	alert	ADJ
cana-1706	334	116	fatigue	fatigue	NOUN
cana-1706	334	117	.	.	PUNCT
cana-1706	335	1	the	the	DET
cana-1706	335	2	proposed	propose	VERB
cana-1706	335	3	approach	approach	NOUN
cana-1706	335	4	attempts	attempt	VERB
cana-1706	335	5	to	to	PART
cana-1706	335	6	reduce	reduce	VERB
cana-1706	335	7	false	false	ADJ
cana-1706	335	8	positives	positive	NOUN
cana-1706	335	9	by	by	ADP
cana-1706	335	10	utilizing	utilize	VERB
cana-1706	335	11	optimization	optimization	NOUN
cana-1706	335	12	-	-	PUNCT
cana-1706	335	13	off	off	ADP
cana-1706	335	14	techniques	technique	NOUN
cana-1706	335	15	and	and	CCONJ
cana-1706	335	16	adjusting	adjust	VERB
cana-1706	335	17	the	the	DET
cana-1706	335	18	detection	detection	NOUN
cana-1706	335	19	threshold	threshold	NOUN
cana-1706	335	20	.	.	PUNCT
cana-1706	336	1	moreover	moreover	ADV
cana-1706	336	2	this	this	PRON
cana-1706	336	3	allows	allow	VERB
cana-1706	336	4	for	for	ADP
cana-1706	336	5	performing	perform	VERB
cana-1706	336	6	a	a	DET
cana-1706	336	7	computational	computational	ADJ
cana-1706	336	8	efficiency	efficiency	NOUN
cana-1706	336	9	assessment	assessment	NOUN
cana-1706	336	10	to	to	PART
cana-1706	336	11	see	see	VERB
cana-1706	336	12	if	if	SCONJ
cana-1706	336	13	the	the	DET
cana-1706	336	14	methods	method	NOUN
cana-1706	336	15	proposed	propose	VERB
cana-1706	336	16	can	can	AUX
cana-1706	336	17	run	run	VERB
cana-1706	336	18	on	on	ADP
cana-1706	336	19	an	an	DET
cana-1706	336	20	iot	iot	NOUN
cana-1706	336	21	devices	device	NOUN
cana-1706	336	22	that	that	PRON
cana-1706	336	23	might	might	AUX
cana-1706	336	24	have	have	VERB
cana-1706	336	25	low	low	ADJ
cana-1706	336	26	resources	resource	NOUN
cana-1706	336	27	.	.	PUNCT
cana-1706	337	1	the	the	DET
cana-1706	337	2	approach	approach	NOUN
cana-1706	337	3	is	be	AUX
cana-1706	337	4	rounded	round	VERB
cana-1706	337	5	off	off	ADP
cana-1706	337	6	by	by	ADP
cana-1706	337	7	health	health	NOUN
cana-1706	337	8	-	-	PUNCT
cana-1706	337	9	checking	checking	NOUN
cana-1706	337	10	of	of	ADP
cana-1706	337	11	the	the	DET
cana-1706	337	12	models	model	NOUN
cana-1706	337	13	,	,	PUNCT
cana-1706	337	14	i.e.	i.e.	X
cana-1706	337	15	stress	stress	NOUN
cana-1706	337	16	testing	testing	NOUN
cana-1706	337	17	in	in	ADP
cana-1706	337	18	virtual	virtual	ADJ
cana-1706	337	19	environments	environment	NOUN
cana-1706	337	20	,	,	PUNCT
cana-1706	337	21	e.g.	e.g.	ADV
cana-1706	337	22	introduction	introduction	NOUN
cana-1706	337	23	of	of	ADP
cana-1706	337	24	various	various	ADJ
cana-1706	337	25	types	type	NOUN
cana-1706	337	26	of	of	ADP
cana-1706	337	27	attack	attack	NOUN
cana-1706	337	28	scenarios	scenario	NOUN
cana-1706	337	29	to	to	PART
cana-1706	337	30	measure	measure	VERB
cana-1706	337	31	the	the	DET
cana-1706	337	32	ability	ability	NOUN
cana-1706	337	33	of	of	ADP
cana-1706	337	34	the	the	DET
cana-1706	337	35	model	model	NOUN
cana-1706	337	36	to	to	PART
cana-1706	337	37	deal	deal	VERB
cana-1706	337	38	with	with	ADP
cana-1706	337	39	these	these	PRON
cana-1706	337	40	and	and	CCONJ
cana-1706	337	41	adapt	adapt	VERB
cana-1706	337	42	.	.	PUNCT
cana-1706	338	1	the	the	DET
cana-1706	338	2	tests	test	NOUN
cana-1706	338	3	,	,	PUNCT
cana-1706	338	4	on	on	ADP
cana-1706	338	5	a	a	DET
cana-1706	338	6	four	four	NUM
cana-1706	338	7	-	-	PUNCT
cana-1706	338	8	node	node	ADJ
cana-1706	338	9	mininet	mininet	NOUN
cana-1706	338	10	emulator	emulator	NOUN
cana-1706	338	11	and	and	CCONJ
cana-1706	338	12	scalable	scalable	ADJ
cana-1706	338	13	deployment	deployment	NOUN
cana-1706	338	14	on	on	ADP
cana-1706	338	15	aws	aws	NOUN
cana-1706	338	16	iot	iot	PROPN
cana-1706	338	17	cloud	cloud	PROPN
cana-1706	338	18	platform	platform	NOUN
cana-1706	338	19	,	,	PUNCT
cana-1706	338	20	provide	provide	VERB
cana-1706	338	21	feedback	feedback	NOUN
cana-1706	338	22	enabling	enable	VERB
cana-1706	338	23	them	they	PRON
cana-1706	338	24	to	to	ADP
cana-1706	338	25	fine	fine	ADJ
cana-1706	338	26	-	-	PUNCT
cana-1706	338	27	tune	tune	NOUN
cana-1706	338	28	the	the	DET
cana-1706	338	29	models	model	NOUN
cana-1706	338	30	before	before	ADP
cana-1706	338	31	deploying	deploy	VERB
cana-1706	338	32	into	into	ADP
cana-1706	338	33	physical	physical	ADJ
cana-1706	338	34	iot	iot	NOUN
cana-1706	338	35	networks	network	NOUN
cana-1706	338	36	,	,	PUNCT
cana-1706	338	37	while	while	SCONJ
cana-1706	338	38	threatening	threaten	VERB
cana-1706	338	39	with	with	ADP
cana-1706	338	40	different	different	ADJ
cana-1706	338	41	types	type	NOUN
cana-1706	338	42	of	of	ADP
cana-1706	338	43	cyber	cyber	NOUN
cana-1706	338	44	-	-	PUNCT
cana-1706	338	45	attacks	attack	NOUN
cana-1706	338	46	.	.	PUNCT
cana-1706	339	1	the	the	DET
cana-1706	339	2	proposed	propose	VERB
cana-1706	339	3	approach	approach	NOUN
cana-1706	339	4	for	for	ADP
cana-1706	339	5	improved	improved	ADJ
cana-1706	339	6	security	security	NOUN
cana-1706	339	7	of	of	ADP
cana-1706	339	8	iot	iot	NOUN
cana-1706	339	9	ecosystems	ecosystem	NOUN
cana-1706	339	10	based	base	VERB
cana-1706	339	11	on	on	ADP
cana-1706	339	12	machine	machine	NOUN
cana-1706	339	13	-	-	PUNCT
cana-1706	339	14	learning	learning	NOUN
cana-1706	339	15	-	-	PUNCT
cana-1706	339	16	based	base	VERB
cana-1706	339	17	anomaly	anomaly	NOUN
cana-1706	339	18	detection	detection	NOUN
cana-1706	339	19	and	and	CCONJ
cana-1706	339	20	optimization	optimization	NOUN
cana-1706	339	21	methods	method	NOUN
cana-1706	339	22	offers	offer	VERB
cana-1706	339	23	an	an	DET
cana-1706	339	24	integrated	integrated	ADJ
cana-1706	339	25	and	and	CCONJ
cana-1706	339	26	flexible	flexible	ADJ
cana-1706	339	27	solution	solution	NOUN
cana-1706	339	28	to	to	PART
cana-1706	339	29	protect	protect	VERB
cana-1706	339	30	various	various	ADJ
cana-1706	339	31	type	type	NOUN
cana-1706	339	32	of	of	ADP
cana-1706	339	33	iot	iot	NOUN
cana-1706	339	34	networks	network	NOUN
cana-1706	339	35	.	.	PUNCT
cana-1706	340	1	the	the	DET
cana-1706	340	2	methodology	methodology	NOUN
cana-1706	340	3	tackles	tackle	VERB
cana-1706	340	4	the	the	DET
cana-1706	340	5	unique	unique	ADJ
cana-1706	340	6	challenges	challenge	NOUN
cana-1706	340	7	posed	pose	VERB
cana-1706	340	8	by	by	ADP
cana-1706	340	9	iot	iot	PROPN
cana-1706	340	10	networks	network	NOUN
cana-1706	340	11	,	,	PUNCT
cana-1706	340	12	such	such	ADJ
cana-1706	340	13	as	as	ADP
cana-1706	340	14	being	be	AUX
cana-1706	340	15	distributed	distribute	VERB
cana-1706	340	16	and	and	CCONJ
cana-1706	340	17	having	have	VERB
cana-1706	340	18	scalability	scalability	NOUN
cana-1706	340	19	issues	issue	NOUN
cana-1706	340	20	,	,	PUNCT
cana-1706	340	21	resource	resource	NOUN
cana-1706	340	22	constrains	constrain	NOUN
cana-1706	340	23	of	of	ADP
cana-1706	340	24	edge	edge	NOUN
cana-1706	340	25	devices	device	NOUN
cana-1706	340	26	,	,	PUNCT
cana-1706	340	27	while	while	SCONJ
cana-1706	340	28	targeting	target	VERB
cana-1706	340	29	real	real	ADJ
cana-1706	340	30	-	-	PUNCT
cana-1706	340	31	time	time	NOUN
cana-1706	340	32	inference	inference	NOUN
cana-1706	340	33	deployment	deployment	NOUN
cana-1706	340	34	in	in	ADP
cana-1706	340	35	edge	edge	NOUN
cana-1706	340	36	(	(	PUNCT
cana-1706	340	37	resource	resource	NOUN
cana-1706	340	38	-	-	PUNCT
cana-1706	340	39	constraint	constraint	NOUN
cana-1706	340	40	)	)	PUNCT
cana-1706	340	41	and	and	CCONJ
cana-1706	340	42	cloud	cloud	NOUN
cana-1706	340	43	computing	compute	VERB
cana-1706	340	44	environments	environment	NOUN
cana-1706	340	45	including	include	VERB
cana-1706	340	46	data	datum	NOUN
cana-1706	340	47	collection	collection	NOUN
cana-1706	340	48	,	,	PUNCT
cana-1706	340	49	training	training	NOUN
cana-1706	340	50	machine	machine	NOUN
cana-1706	340	51	learning	learning	NOUN
cana-1706	340	52	models	model	NOUN
cana-1706	340	53	,	,	PUNCT
cana-1706	340	54	model	model	NOUN
cana-1706	340	55	optimization	optimization	NOUN
cana-1706	340	56	algorithms	algorithm	NOUN
cana-1706	340	57	for	for	ADP
cana-1706	340	58	reducing	reduce	VERB
cana-1706	340	59	the	the	DET
cana-1706	340	60	size	size	NOUN
cana-1706	340	61	of	of	ADP
cana-1706	340	62	and	and	CCONJ
cana-1706	340	63	enhance	enhance	VERB
cana-1706	340	64	privacy	privacy	NOUN
cana-1706	340	65	preserving	preserving	NOUN
cana-1706	340	66	.	.	PUNCT
cana-1706	341	1	the	the	DET
cana-1706	341	2	continuous	continuous	ADJ
cana-1706	341	3	learning	learning	NOUN
cana-1706	341	4	and	and	CCONJ
cana-1706	341	5	adaptability	adaptability	NOUN
cana-1706	341	6	functionalities	functionality	NOUN
cana-1706	341	7	guarantee	guarantee	VERB
cana-1706	341	8	the	the	DET
cana-1706	341	9	security	security	NOUN
cana-1706	341	10	solution	solution	NOUN
cana-1706	341	11	remains	remain	VERB
cana-1706	341	12	efficient	efficient	ADJ
cana-1706	341	13	in	in	ADP
cana-1706	341	14	detecting	detect	VERB
cana-1706	341	15	recognized	recognize	VERB
cana-1706	341	16	and	and	CCONJ
cana-1706	341	17	unrecognized	unrecognized	ADJ
cana-1706	341	18	threats	threat	NOUN
cana-1706	341	19	as	as	SCONJ
cana-1706	341	20	iot	iot	PROPN
cana-1706	341	21	networks	network	NOUN
cana-1706	341	22	grow	grow	VERB
cana-1706	341	23	over	over	ADP
cana-1706	341	24	time	time	NOUN
cana-1706	341	25	.	.	PUNCT
cana-1706	342	1	this	this	DET
cana-1706	342	2	approach	approach	NOUN
cana-1706	342	3	has	have	VERB
cana-1706	342	4	the	the	DET
cana-1706	342	5	potential	potential	NOUN
cana-1706	342	6	to	to	PART
cana-1706	342	7	help	help	VERB
cana-1706	342	8	tighten	tighten	VERB
cana-1706	342	9	security	security	NOUN
cana-1706	342	10	on	on	ADP
cana-1706	342	11	iot	iot	ADJ
cana-1706	342	12	networks	network	NOUN
cana-1706	342	13	in	in	ADP
cana-1706	342	14	general	general	ADJ
cana-1706	342	15	and	and	CCONJ
cana-1706	342	16	thereby	thereby	ADV
cana-1706	342	17	chip	chip	VERB
cana-1706	342	18	away	away	ADV
cana-1706	342	19	at	at	ADP
cana-1706	342	20	the	the	DET
cana-1706	342	21	increasing	increase	VERB
cana-1706	342	22	dangers	danger	NOUN
cana-1706	342	23	that	that	PRON
cana-1706	342	24	are	be	AUX
cana-1706	342	25	coming	come	VERB
cana-1706	342	26	from	from	ADP
cana-1706	342	27	digitally	digitally	ADV
cana-1706	342	28	clamped	clamp	VERB
cana-1706	342	29	-	-	PUNCT
cana-1706	342	30	together	together	ADP
cana-1706	342	31	environments	environment	NOUN
cana-1706	342	32	crippled	cripple	VERB
cana-1706	342	33	by	by	ADP
cana-1706	342	34	cyberattacks	cyberattack	NOUN
cana-1706	342	35	.	.	PUNCT
cana-1706	343	1	4	4	X
cana-1706	343	2	.	.	X
cana-1706	343	3	results	result	NOUN
cana-1706	343	4	in	in	ADP
cana-1706	343	5	this	this	DET
cana-1706	343	6	section	section	NOUN
cana-1706	343	7	,	,	PUNCT
cana-1706	343	8	we	we	PRON
cana-1706	343	9	present	present	VERB
cana-1706	343	10	the	the	DET
cana-1706	343	11	results	result	NOUN
cana-1706	343	12	of	of	ADP
cana-1706	343	13	our	our	PRON
cana-1706	343	14	application	application	NOUN
cana-1706	343	15	of	of	ADP
cana-1706	343	16	the	the	DET
cana-1706	343	17	novel	novel	ADJ
cana-1706	343	18	machine	machine	NOUN
cana-1706	343	19	learning	learning	NOUN
cana-1706	343	20	-	-	PUNCT
cana-1706	343	21	based	base	VERB
cana-1706	343	22	anomaly	anomaly	NOUN
cana-1706	343	23	detection	detection	NOUN
cana-1706	343	24	and	and	CCONJ
cana-1706	343	25	optimization	optimization	NOUN
cana-1706	343	26	approach	approach	NOUN
cana-1706	343	27	to	to	PART
cana-1706	343	28	improve	improve	VERB
cana-1706	343	29	cybersecurity	cybersecurity	NOUN
cana-1706	343	30	in	in	ADP
cana-1706	343	31	iot	iot	PROPN
cana-1706	343	32	networks	network	NOUN
cana-1706	343	33	.	.	PUNCT
cana-1706	344	1	the	the	DET
cana-1706	344	2	results	result	NOUN
cana-1706	344	3	are	be	AUX
cana-1706	344	4	concentrating	concentrate	VERB
cana-1706	344	5	on	on	ADP
cana-1706	344	6	the	the	DET
cana-1706	344	7	performance	performance	NOUN
cana-1706	344	8	of	of	ADP
cana-1706	344	9	various	various	ADJ
cana-1706	344	10	models	model	NOUN
cana-1706	344	11	,	,	PUNCT
cana-1706	344	12	effectiveness	effectiveness	NOUN
cana-1706	344	13	of	of	ADP
cana-1706	344	14	optimization	optimization	NOUN
cana-1706	344	15	techniques	technique	NOUN
cana-1706	344	16	and	and	CCONJ
cana-1706	344	17	system	system	NOUN
cana-1706	344	18	-	-	PUNCT
cana-1706	344	19	wise	wise	ADJ
cana-1706	344	20	efficiency	efficiency	NOUN
cana-1706	344	21	in	in	ADP
cana-1706	344	22	an	an	DET
cana-1706	344	23	iot	iot	ADJ
cana-1706	344	24	environment	environment	NOUN
cana-1706	344	25	real	real	ADJ
cana-1706	344	26	-	-	PUNCT
cana-1706	344	27	time	time	NOUN
cana-1706	344	28	.	.	PUNCT
cana-1706	345	1	the	the	DET
cana-1706	345	2	evaluation	evaluation	NOUN
cana-1706	345	3	is	be	AUX
cana-1706	345	4	based	base	VERB
cana-1706	345	5	on	on	ADP
cana-1706	345	6	4	4	NUM
cana-1706	345	7	main	main	ADJ
cana-1706	345	8	criteria	criterion	NOUN
cana-1706	345	9	:	:	PUNCT
cana-1706	345	10	detection	detection	NOUN
cana-1706	345	11	accuracy	accuracy	NOUN
cana-1706	345	12	,	,	PUNCT
cana-1706	345	13	false	false	ADJ
cana-1706	345	14	positive	positive	ADJ
cana-1706	345	15	rate	rate	NOUN
cana-1706	345	16	and	and	CCONJ
cana-1706	345	17	energy	energy	NOUN
cana-1706	345	18	footprint	footprint	NOUN
cana-1706	345	19	at	at	ADP
cana-1706	345	20	low	low	ADJ
cana-1706	345	21	snr	snr	PROPN
cana-1706	345	22	levels	level	NOUN
cana-1706	345	23	,	,	PUNCT
cana-1706	345	24	and	and	CCONJ
cana-1706	345	25	scalability	scalability	NOUN
cana-1706	345	26	.	.	PUNCT
cana-1706	346	1	this	this	DET
cana-1706	346	2	outcome	outcome	NOUN
cana-1706	346	3	demonstrates	demonstrate	VERB
cana-1706	346	4	the	the	DET
cana-1706	346	5	performance	performance	NOUN
cana-1706	346	6	comparison	comparison	NOUN
cana-1706	346	7	of	of	ADP
cana-1706	346	8	different	different	ADJ
cana-1706	346	9	supervised	supervised	ADJ
cana-1706	346	10	,	,	PUNCT
cana-1706	346	11	unsupervised	unsupervised	ADJ
cana-1706	346	12	and	and	CCONJ
cana-1706	346	13	hybrid	hybrid	ADJ
cana-1706	346	14	learning	learning	NOUN
cana-1706	346	15	models	model	NOUN
cana-1706	346	16	,	,	PUNCT
cana-1706	346	17	as	as	ADV
cana-1706	346	18	well	well	ADV
cana-1706	346	19	as	as	ADP
cana-1706	346	20	the	the	DET
cana-1706	346	21	contribution	contribution	NOUN
cana-1706	346	22	of	of	ADP
cana-1706	346	23	optimization	optimization	NOUN
cana-1706	346	24	algorithm	algorithm	NOUN
cana-1706	346	25	like	like	ADP
cana-1706	346	26	genetic	genetic	ADJ
cana-1706	346	27	algorithm	algorithm	NOUN
cana-1706	346	28	(	(	PUNCT
cana-1706	346	29	ga	ga	NOUN
cana-1706	346	30	)	)	PUNCT
cana-1706	346	31	and	and	CCONJ
cana-1706	346	32	particle	particle	NOUN
cana-1706	346	33	swarm	swarm	NOUN
cana-1706	346	34	optimization	optimization	NOUN
cana-1706	346	35	(	(	PUNCT
cana-1706	346	36	pso	pso	NOUN
cana-1706	346	37	)	)	PUNCT
cana-1706	346	38	to	to	PART
cana-1706	346	39	enhance	enhance	VERB
cana-1706	346	40	detection	detection	NOUN
cana-1706	346	41	accuracy	accuracy	NOUN
cana-1706	346	42	and	and	CCONJ
cana-1706	346	43	computational	computational	ADJ
cana-1706	346	44	efficiency	efficiency	NOUN
cana-1706	346	45	.	.	PUNCT
cana-1706	347	1	communications	communication	NOUN
cana-1706	347	2	on	on	ADP
cana-1706	347	3	applied	apply	VERB
cana-1706	347	4	nonlinear	nonlinear	ADJ
cana-1706	347	5	analysis	analysis	NOUN
cana-1706	347	6	issn	issn	NOUN
cana-1706	347	7	:	:	PUNCT
cana-1706	347	8	1074	1074	NUM
cana-1706	347	9	-	-	PUNCT
cana-1706	347	10	133x	133x	NUM
cana-1706	347	11	vol	vol	NOUN
cana-1706	347	12	32	32	NUM
cana-1706	347	13	no	no	NOUN
cana-1706	347	14	.	.	NOUN
cana-1706	347	15	2	2	NUM
cana-1706	347	16	(	(	PUNCT
cana-1706	347	17	2025	2025	NUM
cana-1706	347	18	)	)	PUNCT
cana-1706	347	19	45	45	NUM
cana-1706	348	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	348	2	1	1	NUM
cana-1706	348	3	.	.	X
cana-1706	348	4	assessing	assess	VERB
cana-1706	348	5	machine	machine	NOUN
cana-1706	348	6	learning	learning	NOUN
cana-1706	348	7	models	model	NOUN
cana-1706	348	8	for	for	ADP
cana-1706	348	9	anomaly	anomaly	NOUN
cana-1706	348	10	detection	detection	NOUN
cana-1706	348	11	the	the	DET
cana-1706	348	12	main	main	ADJ
cana-1706	348	13	objective	objective	NOUN
cana-1706	348	14	of	of	ADP
cana-1706	348	15	this	this	DET
cana-1706	348	16	research	research	NOUN
cana-1706	348	17	is	be	AUX
cana-1706	348	18	to	to	PART
cana-1706	348	19	improve	improve	VERB
cana-1706	348	20	anomaly	anomaly	NOUN
cana-1706	348	21	detection	detection	NOUN
cana-1706	348	22	in	in	ADP
cana-1706	348	23	iot	iot	ADJ
cana-1706	348	24	networks	network	NOUN
cana-1706	348	25	with	with	ADP
cana-1706	348	26	the	the	DET
cana-1706	348	27	aid	aid	NOUN
cana-1706	348	28	of	of	ADP
cana-1706	348	29	various	various	ADJ
cana-1706	348	30	machine	machine	NOUN
cana-1706	348	31	learning	learning	NOUN
cana-1706	348	32	models	model	NOUN
cana-1706	348	33	.	.	PUNCT
cana-1706	349	1	a	a	DET
cana-1706	349	2	such	such	ADJ
cana-1706	349	3	we	we	PRON
cana-1706	349	4	tested	test	VERB
cana-1706	349	5	3	3	NUM
cana-1706	349	6	flavours	flavour	NOUN
cana-1706	349	7	of	of	ADP
cana-1706	349	8	models	model	NOUN
cana-1706	349	9	supervised	supervise	VERB
cana-1706	349	10	learning	learning	NOUN
cana-1706	349	11	,	,	PUNCT
cana-1706	349	12	unsupervised	unsupervised	ADJ
cana-1706	349	13	and	and	CCONJ
cana-1706	349	14	a	a	DET
cana-1706	349	15	mix	mix	NOUN
cana-1706	349	16	of	of	ADP
cana-1706	349	17	both	both	PRON
cana-1706	349	18	with	with	ADP
cana-1706	349	19	the	the	DET
cana-1706	349	20	hybrid	hybrid	ADJ
cana-1706	349	21	approach	approach	NOUN
cana-1706	349	22	.	.	PUNCT
cana-1706	350	1	unsupervised	unsupervised	ADJ
cana-1706	350	2	learning	learning	NOUN
cana-1706	350	3	models	model	NOUN
cana-1706	350	4	:	:	PUNCT
cana-1706	350	5	we	we	PRON
cana-1706	350	6	also	also	ADV
cana-1706	350	7	used	use	VERB
cana-1706	350	8	unsupervised	unsupervised	ADJ
cana-1706	350	9	models	model	NOUN
cana-1706	350	10	like	like	ADP
cana-1706	350	11	k	k	NOUN
cana-1706	350	12	-	-	PUNCT
cana-1706	350	13	means	mean	VERB
cana-1706	350	14	clustering	clustering	NOUN
cana-1706	350	15	and	and	CCONJ
cana-1706	350	16	gaussian	gaussian	ADJ
cana-1706	350	17	mixture	mixture	NOUN
cana-1706	350	18	models	model	NOUN
cana-1706	350	19	(	(	PUNCT
cana-1706	350	20	gmm	gmm	NOUN
cana-1706	350	21	)	)	PUNCT
cana-1706	350	22	to	to	PART
cana-1706	350	23	find	find	VERB
cana-1706	350	24	anomalies	anomaly	NOUN
cana-1706	350	25	,	,	PUNCT
cana-1706	350	26	without	without	ADP
cana-1706	350	27	labeled	label	VERB
cana-1706	350	28	data	datum	NOUN
cana-1706	350	29	.	.	PUNCT
cana-1706	351	1	because	because	SCONJ
cana-1706	351	2	these	these	DET
cana-1706	351	3	models	model	NOUN
cana-1706	351	4	were	be	AUX
cana-1706	351	5	able	able	ADJ
cana-1706	351	6	to	to	PART
cana-1706	351	7	detect	detect	VERB
cana-1706	351	8	deviations	deviation	NOUN
cana-1706	351	9	from	from	ADP
cana-1706	351	10	the	the	DET
cana-1706	351	11	normal	normal	ADJ
cana-1706	351	12	,	,	PUNCT
cana-1706	351	13	they	they	PRON
cana-1706	351	14	were	be	AUX
cana-1706	351	15	very	very	ADV
cana-1706	351	16	effective	effective	ADJ
cana-1706	351	17	at	at	ADP
cana-1706	351	18	detecting	detect	VERB
cana-1706	351	19	even	even	ADV
cana-1706	351	20	zero	zero	NUM
cana-1706	351	21	-	-	PUNCT
cana-1706	351	22	day	day	NOUN
cana-1706	351	23	attacks	attack	NOUN
cana-1706	351	24	.	.	PUNCT
cana-1706	352	1	nonetheless	nonetheless	ADV
cana-1706	352	2	,	,	PUNCT
cana-1706	352	3	the	the	DET
cana-1706	352	4	unsupervised	unsupervised	ADJ
cana-1706	352	5	models	model	NOUN
cana-1706	352	6	again	again	ADV
cana-1706	352	7	suffered	suffer	VERB
cana-1706	352	8	in	in	ADP
cana-1706	352	9	detection	detection	NOUN
cana-1706	352	10	accuracy	accuracy	NOUN
cana-1706	352	11	,	,	PUNCT
cana-1706	352	12	scored	score	VERB
cana-1706	352	13	at	at	ADP
cana-1706	352	14	78.3	78.3	NUM
cana-1706	352	15	%	%	NOUN
cana-1706	352	16	compared	compare	VERB
cana-1706	352	17	to	to	ADP
cana-1706	352	18	that	that	PRON
cana-1706	352	19	of	of	ADP
cana-1706	352	20	the	the	DET
cana-1706	352	21	supervised	supervised	ADJ
cana-1706	352	22	models	model	NOUN
cana-1706	352	23	.	.	PUNCT
cana-1706	353	1	there	there	PRON
cana-1706	353	2	were	be	VERB
cana-1706	353	3	also	also	ADV
cana-1706	353	4	a	a	DET
cana-1706	353	5	greater	great	ADJ
cana-1706	353	6	number	number	NOUN
cana-1706	353	7	of	of	ADP
cana-1706	353	8	false	false	ADJ
cana-1706	353	9	-	-	PUNCT
cana-1706	353	10	positives	positive	NOUN
cana-1706	353	11	,	,	PUNCT
cana-1706	353	12	4.7	4.7	NUM
cana-1706	353	13	%	%	NOUN
cana-1706	353	14	compared	compare	VERB
cana-1706	353	15	to	to	ADP
cana-1706	353	16	the	the	DET
cana-1706	353	17	other	other	ADJ
cana-1706	353	18	group	group	NOUN
cana-1706	353	19	's	's	PART
cana-1706	353	20	3.2	3.2	NUM
cana-1706	353	21	%	%	NOUN
cana-1706	353	22	.	.	PUNCT
cana-1706	354	1	those	those	DET
cana-1706	354	2	models	model	NOUN
cana-1706	354	3	could	could	AUX
cana-1706	354	4	be	be	AUX
cana-1706	354	5	made	make	VERB
cana-1706	354	6	more	more	ADJ
cana-1706	354	7	fault	fault	NOUN
cana-1706	354	8	-	-	PUNCT
cana-1706	354	9	tolerant	tolerant	ADJ
cana-1706	354	10	,	,	PUNCT
cana-1706	354	11	but	but	CCONJ
cana-1706	354	12	only	only	ADV
cana-1706	354	13	at	at	ADP
cana-1706	354	14	a	a	DET
cana-1706	354	15	cost	cost	NOUN
cana-1706	354	16	of	of	ADP
cana-1706	354	17	more	more	ADJ
cana-1706	354	18	alarms	alarm	NOUN
cana-1706	354	19	and	and	CCONJ
cana-1706	354	20	that	that	PRON
cana-1706	354	21	was	be	AUX
cana-1706	354	22	not	not	PART
cana-1706	354	23	good	good	ADJ
cana-1706	354	24	for	for	ADP
cana-1706	354	25	real	real	ADJ
cana-1706	354	26	-	-	PUNCT
cana-1706	354	27	time	time	NOUN
cana-1706	354	28	systems	system	NOUN
cana-1706	354	29	.	.	PUNCT
cana-1706	355	1	table	table	NOUN
cana-1706	355	2	3	3	NUM
cana-1706	355	3	:	:	PUNCT
cana-1706	355	4	detection	detection	NOUN
cana-1706	355	5	accuracy	accuracy	NOUN
cana-1706	355	6	of	of	ADP
cana-1706	355	7	different	different	ADJ
cana-1706	355	8	models	model	NOUN
cana-1706	355	9	model	model	NOUN
cana-1706	355	10	detection	detection	NOUN
cana-1706	355	11	accuracy	accuracy	NOUN
cana-1706	355	12	(	(	PUNCT
cana-1706	355	13	%	%	INTJ
cana-1706	355	14	)	)	PUNCT
cana-1706	355	15	supervised	supervise	VERB
cana-1706	355	16	learning	learn	VERB
cana-1706	355	17	89.5	89.5	NUM
cana-1706	355	18	unsupervised	unsupervised	ADJ
cana-1706	355	19	learning	learn	VERB
cana-1706	355	20	78.3	78.3	NUM
cana-1706	355	21	hybrid	hybrid	ADJ
cana-1706	355	22	model	model	NOUN
cana-1706	355	23	94.1	94.1	NUM
cana-1706	355	24	hybrid	hybrid	NOUN
cana-1706	355	25	:	:	PUNCT
cana-1706	355	26	the	the	DET
cana-1706	355	27	hybrid	hybrid	ADJ
cana-1706	355	28	model	model	NOUN
cana-1706	355	29	integrated	integrate	VERB
cana-1706	355	30	supervised	supervised	ADJ
cana-1706	355	31	and	and	CCONJ
cana-1706	355	32	unsupervised	unsupervised	ADJ
cana-1706	355	33	learning	learning	NOUN
cana-1706	355	34	to	to	PART
cana-1706	355	35	complement	complement	VERB
cana-1706	355	36	each	each	DET
cana-1706	355	37	other	other	ADJ
cana-1706	355	38	.	.	PUNCT
cana-1706	356	1	this	this	DET
cana-1706	356	2	approach	approach	NOUN
cana-1706	356	3	resulted	result	VERB
cana-1706	356	4	in	in	ADP
cana-1706	356	5	the	the	DET
cana-1706	356	6	best	good	ADJ
cana-1706	356	7	overall	overall	ADJ
cana-1706	356	8	performance	performance	NOUN
cana-1706	356	9	,	,	PUNCT
cana-1706	356	10	with	with	ADP
cana-1706	356	11	a	a	DET
cana-1706	356	12	detection	detection	NOUN
cana-1706	356	13	accuracy	accuracy	NOUN
cana-1706	356	14	of	of	ADP
cana-1706	356	15	94.1	94.1	NUM
cana-1706	356	16	and	and	CCONJ
cana-1706	356	17	a	a	DET
cana-1706	356	18	false	false	ADJ
cana-1706	356	19	positive	positive	ADJ
cana-1706	356	20	rate	rate	NOUN
cana-1706	356	21	of	of	ADP
cana-1706	356	22	only	only	ADV
cana-1706	356	23	1.9	1.9	NUM
cana-1706	356	24	%	%	NOUN
cana-1706	356	25	.	.	PUNCT
cana-1706	357	1	the	the	DET
cana-1706	357	2	model	model	NOUN
cana-1706	357	3	worked	work	VERB
cana-1706	357	4	best	well	ADV
cana-1706	357	5	detecting	detect	VERB
cana-1706	357	6	both	both	CCONJ
cana-1706	357	7	known	known	ADJ
cana-1706	357	8	and	and	CCONJ
cana-1706	357	9	unknown	unknown	ADJ
cana-1706	357	10	threats	threat	NOUN
cana-1706	357	11	,	,	PUNCT
cana-1706	357	12	as	as	ADV
cana-1706	357	13	well	well	ADV
cana-1706	357	14	as	as	ADP
cana-1706	357	15	any	any	DET
cana-1706	357	16	other	other	ADJ
cana-1706	357	17	type	type	NOUN
cana-1706	357	18	of	of	ADP
cana-1706	357	19	attack	attack	NOUN
cana-1706	357	20	vector	vector	NOUN
cana-1706	357	21	because	because	SCONJ
cana-1706	357	22	it	it	PRON
cana-1706	357	23	is	be	AUX
cana-1706	357	24	non	non	ADJ
cana-1706	357	25	-	-	ADJ
cana-1706	357	26	static	static	ADJ
cana-1706	357	27	,	,	PUNCT
cana-1706	357	28	yielding	yield	VERB
cana-1706	357	29	to	to	ADP
cana-1706	357	30	the	the	DET
cana-1706	357	31	fact	fact	NOUN
cana-1706	357	32	that	that	SCONJ
cana-1706	357	33	new	new	ADJ
cana-1706	357	34	vulnerabilities	vulnerability	NOUN
cana-1706	357	35	are	be	AUX
cana-1706	357	36	constantly	constantly	ADV
cana-1706	357	37	surfacing	surface	VERB
cana-1706	357	38	in	in	ADP
cana-1706	357	39	the	the	DET
cana-1706	357	40	dynamic	dynamic	ADJ
cana-1706	357	41	iot	iot	NOUN
cana-1706	357	42	landscape	landscape	NOUN
cana-1706	357	43	.	.	PUNCT
cana-1706	358	1	table	table	NOUN
cana-1706	358	2	4	4	NUM
cana-1706	358	3	:	:	PUNCT
cana-1706	358	4	false	false	ADJ
cana-1706	358	5	positive	positive	ADJ
cana-1706	358	6	rate	rate	NOUN
cana-1706	358	7	of	of	ADP
cana-1706	358	8	different	different	ADJ
cana-1706	358	9	models	model	NOUN
cana-1706	358	10	model	model	VERB
cana-1706	358	11	false	false	ADJ
cana-1706	358	12	positive	positive	ADJ
cana-1706	358	13	rate	rate	NOUN
cana-1706	358	14	(	(	PUNCT
cana-1706	358	15	%	%	INTJ
cana-1706	358	16	)	)	PUNCT
cana-1706	358	17	supervised	supervise	VERB
cana-1706	358	18	learning	learn	VERB
cana-1706	358	19	2.3	2.3	NUM
cana-1706	358	20	unsupervised	unsupervised	ADJ
cana-1706	358	21	learning	learn	VERB
cana-1706	358	22	4.7	4.7	NUM
cana-1706	358	23	hybrid	hybrid	ADJ
cana-1706	358	24	model	model	NOUN
cana-1706	358	25	1.9	1.9	NUM
cana-1706	358	26	this	this	PRON
cana-1706	358	27	suggests	suggest	VERB
cana-1706	358	28	the	the	DET
cana-1706	358	29	necessity	necessity	NOUN
cana-1706	358	30	of	of	ADP
cana-1706	358	31	applying	apply	VERB
cana-1706	358	32	different	different	ADJ
cana-1706	358	33	learning	learning	NOUN
cana-1706	358	34	strategies	strategy	NOUN
cana-1706	358	35	together	together	ADV
cana-1706	358	36	in	in	ADP
cana-1706	358	37	order	order	NOUN
cana-1706	358	38	to	to	PART
cana-1706	358	39	increase	increase	VERB
cana-1706	358	40	detection	detection	NOUN
cana-1706	358	41	precision	precision	NOUN
cana-1706	358	42	and	and	CCONJ
cana-1706	358	43	reduce	reduce	VERB
cana-1706	358	44	false	false	ADJ
cana-1706	358	45	positives	positive	NOUN
cana-1706	358	46	.	.	PUNCT
cana-1706	359	1	we	we	PRON
cana-1706	359	2	observed	observe	VERB
cana-1706	359	3	that	that	SCONJ
cana-1706	359	4	,	,	PUNCT
cana-1706	359	5	the	the	DET
cana-1706	359	6	hybrid	hybrid	NOUN
cana-1706	359	7	model	model	NOUN
cana-1706	359	8	is	be	AUX
cana-1706	359	9	a	a	DET
cana-1706	359	10	more	more	ADV
cana-1706	359	11	solid	solid	ADJ
cana-1706	359	12	approach	approach	NOUN
cana-1706	359	13	for	for	ADP
cana-1706	359	14	anomaly	anomaly	NOUN
cana-1706	359	15	detection	detection	NOUN
cana-1706	359	16	in	in	ADP
cana-1706	359	17	iot	iot	PROPN
cana-1706	359	18	networks	network	NOUN
cana-1706	359	19	,	,	PUNCT
cana-1706	359	20	both	both	CCONJ
cana-1706	359	21	able	able	ADJ
cana-1706	359	22	to	to	PART
cana-1706	359	23	handle	handle	VERB
cana-1706	359	24	common	common	ADJ
cana-1706	359	25	attacks	attack	NOUN
cana-1706	359	26	in	in	ADP
cana-1706	359	27	comparison	comparison	NOUN
cana-1706	359	28	with	with	ADP
cana-1706	359	29	outlier	outlier	NOUN
cana-1706	359	30	and	and	CCONJ
cana-1706	359	31	one	one	NUM
cana-1706	359	32	-	-	PUNCT
cana-1706	359	33	class	class	NOUN
cana-1706	359	34	models	model	NOUN
cana-1706	359	35	as	as	ADV
cana-1706	359	36	well	well	ADV
cana-1706	359	37	as	as	ADP
cana-1706	359	38	dealing	deal	VERB
cana-1706	359	39	with	with	ADP
cana-1706	359	40	new	new	ADJ
cana-1706	359	41	types	type	NOUN
cana-1706	359	42	of	of	ADP
cana-1706	359	43	threats	threat	NOUN
cana-1706	359	44	.	.	PUNCT
cana-1706	360	1	2	2	X
cana-1706	360	2	.	.	X
cana-1706	360	3	effect	effect	NOUN
cana-1706	360	4	of	of	ADP
cana-1706	360	5	optimization	optimization	NOUN
cana-1706	360	6	algorithms	algorithm	VERB
cana-1706	360	7	the	the	DET
cana-1706	360	8	optimization	optimization	NOUN
cana-1706	360	9	algorithms	algorithm	NOUN
cana-1706	360	10	such	such	ADJ
cana-1706	360	11	as	as	ADP
cana-1706	360	12	genetic	genetic	ADJ
cana-1706	360	13	algorithm	algorithm	NOUN
cana-1706	360	14	(	(	PUNCT
cana-1706	360	15	ga	ga	NOUN
cana-1706	360	16	)	)	PUNCT
cana-1706	360	17	and	and	CCONJ
cana-1706	360	18	particle	particle	NOUN
cana-1706	360	19	swarm	swarm	NOUN
cana-1706	360	20	optimization	optimization	NOUN
cana-1706	360	21	(	(	PUNCT
cana-1706	360	22	pso	pso	NOUN
cana-1706	360	23	)	)	PUNCT
cana-1706	360	24	,	,	PUNCT
cana-1706	360	25	were	be	AUX
cana-1706	360	26	applied	apply	VERB
cana-1706	360	27	and	and	CCONJ
cana-1706	360	28	it	it	PRON
cana-1706	360	29	helped	help	VERB
cana-1706	360	30	to	to	PART
cana-1706	360	31	enhance	enhance	VERB
cana-1706	360	32	the	the	DET
cana-1706	360	33	performance	performance	NOUN
cana-1706	360	34	of	of	ADP
cana-1706	360	35	machine	machine	NOUN
cana-1706	360	36	learning	learning	NOUN
cana-1706	360	37	models	model	NOUN
cana-1706	360	38	tremendously	tremendously	ADV
cana-1706	360	39	.	.	PUNCT
cana-1706	361	1	we	we	PRON
cana-1706	361	2	then	then	ADV
cana-1706	361	3	leveraged	leverage	VERB
cana-1706	361	4	them	they	PRON
cana-1706	361	5	to	to	PART
cana-1706	361	6	perform	perform	VERB
cana-1706	361	7	threshold	threshold	NOUN
cana-1706	361	8	adaptation	adaptation	NOUN
cana-1706	361	9	for	for	ADP
cana-1706	361	10	tuning	tune	VERB
cana-1706	361	11	detection	detection	NOUN
cana-1706	361	12	thresholds	threshold	NOUN
cana-1706	361	13	,	,	PUNCT
cana-1706	361	14	model	model	NOUN
cana-1706	361	15	optimization	optimization	NOUN
cana-1706	361	16	,	,	PUNCT
cana-1706	361	17	and	and	CCONJ
cana-1706	361	18	resource	resource	NOUN
cana-1706	361	19	distribution	distribution	NOUN
cana-1706	361	20	in	in	ADP
cana-1706	361	21	such	such	DET
cana-1706	361	22	a	a	DET
cana-1706	361	23	way	way	NOUN
cana-1706	361	24	as	as	SCONJ
cana-1706	361	25	to	to	PART
cana-1706	361	26	optimize	optimize	VERB
cana-1706	361	27	the	the	DET
cana-1706	361	28	detection	detection	NOUN
cana-1706	361	29	performance	performance	NOUN
cana-1706	361	30	at	at	ADP
cana-1706	361	31	minimal	minimal	ADJ
cana-1706	361	32	computational	computational	ADJ
cana-1706	361	33	costs	cost	NOUN
cana-1706	361	34	.	.	PUNCT
cana-1706	362	1	communications	communication	NOUN
cana-1706	362	2	on	on	ADP
cana-1706	362	3	applied	apply	VERB
cana-1706	362	4	nonlinear	nonlinear	ADJ
cana-1706	362	5	analysis	analysis	NOUN
cana-1706	362	6	issn	issn	NOUN
cana-1706	362	7	:	:	PUNCT
cana-1706	362	8	1074	1074	NUM
cana-1706	362	9	-	-	PUNCT
cana-1706	362	10	133x	133x	NUM
cana-1706	362	11	vol	vol	NOUN
cana-1706	362	12	32	32	NUM
cana-1706	362	13	no	no	NOUN
cana-1706	362	14	.	.	NOUN
cana-1706	362	15	2	2	NUM
cana-1706	362	16	(	(	PUNCT
cana-1706	362	17	2025	2025	NUM
cana-1706	362	18	)	)	PUNCT
cana-1706	363	1	46	46	NUM
cana-1706	363	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	363	3	table	table	NOUN
cana-1706	363	4	5	5	NUM
cana-1706	363	5	:	:	PUNCT
cana-1706	363	6	impact	impact	NOUN
cana-1706	363	7	of	of	ADP
cana-1706	363	8	genetic	genetic	ADJ
cana-1706	363	9	algorithm	algorithm	NOUN
cana-1706	363	10	(	(	PUNCT
cana-1706	363	11	ga	ga	NOUN
cana-1706	363	12	)	)	PUNCT
cana-1706	363	13	on	on	ADP
cana-1706	363	14	model	model	NOUN
cana-1706	363	15	performance	performance	NOUN
cana-1706	363	16	metric	metric	ADJ
cana-1706	363	17	before	before	ADP
cana-1706	363	18	ga	ga	PROPN
cana-1706	363	19	after	after	ADP
cana-1706	363	20	ga	ga	PROPN
cana-1706	363	21	detection	detection	NOUN
cana-1706	363	22	accuracy	accuracy	NOUN
cana-1706	363	23	(	(	PUNCT
cana-1706	363	24	%	%	NOUN
cana-1706	363	25	)	)	PUNCT
cana-1706	363	26	89.5	89.5	NUM
cana-1706	363	27	92.7	92.7	NUM
cana-1706	363	28	false	false	ADJ
cana-1706	363	29	positive	positive	ADJ
cana-1706	363	30	rate	rate	NOUN
cana-1706	363	31	(	(	PUNCT
cana-1706	363	32	%	%	INTJ
cana-1706	363	33	)	)	PUNCT
cana-1706	363	34	2.3	2.3	NUM
cana-1706	363	35	1.8	1.8	NUM
cana-1706	363	36	energy	energy	NOUN
cana-1706	363	37	consumption	consumption	NOUN
cana-1706	363	38	(	(	PUNCT
cana-1706	363	39	j	j	NOUN
cana-1706	363	40	)	)	PUNCT
cana-1706	363	41	25.8	25.8	NUM
cana-1706	363	42	23.5	23.5	NUM
cana-1706	363	43	2	2	NUM
cana-1706	363	44	)	)	PUNCT
cana-1706	363	45	genetic	genetic	ADJ
cana-1706	363	46	algorithm	algorithm	NOUN
cana-1706	363	47	(	(	PUNCT
cana-1706	363	48	ga	ga	PROPN
cana-1706	363	49	):	):	PUNCT
cana-1706	363	50	ga	ga	PROPN
cana-1706	363	51	was	be	AUX
cana-1706	363	52	used	use	VERB
cana-1706	363	53	for	for	ADP
cana-1706	363	54	optimization	optimization	NOUN
cana-1706	363	55	of	of	ADP
cana-1706	363	56	detection	detection	NOUN
cana-1706	363	57	thresholds	threshold	NOUN
cana-1706	363	58	and	and	CCONJ
cana-1706	363	59	model	model	NOUN
cana-1706	363	60	parameters	parameter	NOUN
cana-1706	363	61	in	in	ADP
cana-1706	363	62	the	the	DET
cana-1706	363	63	supervised	supervised	ADJ
cana-1706	363	64	and	and	CCONJ
cana-1706	363	65	hybrid	hybrid	NOUN
cana-1706	363	66	models	model	NOUN
cana-1706	363	67	the	the	DET
cana-1706	363	68	number	number	NOUN
cana-1706	363	69	of	of	ADP
cana-1706	363	70	false	false	ADJ
cana-1706	363	71	-	-	PUNCT
cana-1706	363	72	positive	positive	ADJ
cana-1706	363	73	predictions	prediction	NOUN
cana-1706	363	74	was	be	AUX
cana-1706	363	75	also	also	ADV
cana-1706	363	76	minimized	minimize	VERB
cana-1706	363	77	by	by	ADP
cana-1706	363	78	the	the	DET
cana-1706	363	79	ga	ga	PROPN
cana-1706	363	80	leading	lead	VERB
cana-1706	363	81	to	to	ADP
cana-1706	363	82	a	a	DET
cana-1706	363	83	15–20	15–20	NUM
cana-1706	363	84	%	%	NOUN
cana-1706	363	85	drop	drop	NOUN
cana-1706	363	86	in	in	ADP
cana-1706	363	87	false	false	ADJ
cana-1706	363	88	-	-	PUNCT
cana-1706	363	89	positive	positive	ADJ
cana-1706	363	90	rates	rate	NOUN
cana-1706	363	91	for	for	ADP
cana-1706	363	92	the	the	DET
cana-1706	363	93	best	well	ADV
cana-1706	363	94	-	-	PUNCT
cana-1706	363	95	performing	perform	VERB
cana-1706	363	96	models	model	NOUN
cana-1706	363	97	that	that	PRON
cana-1706	363	98	were	be	AUX
cana-1706	363	99	optimized	optimize	VERB
cana-1706	363	100	.	.	PUNCT
cana-1706	364	1	the	the	DET
cana-1706	364	2	improved	improved	ADJ
cana-1706	364	3	results	result	NOUN
cana-1706	364	4	are	be	AUX
cana-1706	364	5	contributing	contribute	VERB
cana-1706	364	6	to	to	ADP
cana-1706	364	7	an	an	DET
cana-1706	364	8	overall	overall	ADJ
cana-1706	364	9	gain	gain	NOUN
cana-1706	364	10	of	of	ADP
cana-1706	364	11	3	3	NUM
cana-1706	364	12	-	-	SYM
cana-1706	364	13	4	4	NUM
cana-1706	364	14	%	%	NOUN
cana-1706	364	15	in	in	ADP
cana-1706	364	16	detection	detection	NOUN
cana-1706	364	17	accuracy	accuracy	NOUN
cana-1706	364	18	,	,	PUNCT
cana-1706	364	19	especially	especially	ADV
cana-1706	364	20	in	in	ADP
cana-1706	364	21	more	more	ADV
cana-1706	364	22	complex	complex	ADJ
cana-1706	364	23	attack	attack	NOUN
cana-1706	364	24	scenarios	scenario	NOUN
cana-1706	364	25	.	.	PUNCT
cana-1706	365	1	moreover	moreover	ADV
cana-1706	365	2	,	,	PUNCT
cana-1706	365	3	the	the	DET
cana-1706	365	4	ga	ga	PROPN
cana-1706	365	5	was	be	AUX
cana-1706	365	6	able	able	ADJ
cana-1706	365	7	to	to	PART
cana-1706	365	8	pinpoint	pinpoint	VERB
cana-1706	365	9	where	where	SCONJ
cana-1706	365	10	the	the	DET
cana-1706	365	11	balance	balance	NOUN
cana-1706	365	12	of	of	ADP
cana-1706	365	13	false	false	ADJ
cana-1706	365	14	positives	positive	NOUN
cana-1706	365	15	and	and	CCONJ
cana-1706	365	16	detection	detection	NOUN
cana-1706	365	17	accuracy	accuracy	NOUN
cana-1706	365	18	needs	need	VERB
cana-1706	365	19	to	to	PART
cana-1706	365	20	be	be	AUX
cana-1706	365	21	rung	ring	VERB
cana-1706	365	22	so	so	SCONJ
cana-1706	365	23	that	that	SCONJ
cana-1706	365	24	our	our	PRON
cana-1706	365	25	system	system	NOUN
cana-1706	365	26	is	be	AUX
cana-1706	365	27	not	not	PART
cana-1706	365	28	too	too	ADV
cana-1706	365	29	sensitive	sensitive	ADJ
cana-1706	365	30	or	or	CCONJ
cana-1706	365	31	strict	strict	ADJ
cana-1706	366	1	.	.	PUNCT
cana-1706	366	2	table	table	NOUN
cana-1706	366	3	6	6	NUM
cana-1706	366	4	:	:	PUNCT
cana-1706	366	5	impact	impact	NOUN
cana-1706	366	6	of	of	ADP
cana-1706	366	7	particle	particle	NOUN
cana-1706	366	8	swarm	swarm	NOUN
cana-1706	366	9	optimization	optimization	NOUN
cana-1706	366	10	(	(	PUNCT
cana-1706	366	11	pso	pso	NOUN
cana-1706	366	12	)	)	PUNCT
cana-1706	366	13	on	on	ADP
cana-1706	366	14	model	model	NOUN
cana-1706	366	15	performance	performance	NOUN
cana-1706	366	16	metric	metric	ADJ
cana-1706	366	17	before	before	ADP
cana-1706	366	18	pso	pso	NOUN
cana-1706	366	19	after	after	ADP
cana-1706	366	20	pso	pso	NOUN
cana-1706	366	21	detection	detection	NOUN
cana-1706	366	22	accuracy	accuracy	NOUN
cana-1706	366	23	(	(	PUNCT
cana-1706	366	24	%	%	NOUN
cana-1706	366	25	)	)	PUNCT
cana-1706	366	26	89.5	89.5	NUM
cana-1706	366	27	91.8	91.8	NUM
cana-1706	366	28	false	false	ADJ
cana-1706	366	29	positive	positive	ADJ
cana-1706	366	30	rate	rate	NOUN
cana-1706	366	31	(	(	PUNCT
cana-1706	366	32	%	%	INTJ
cana-1706	366	33	)	)	PUNCT
cana-1706	366	34	2.3	2.3	NUM
cana-1706	366	35	2.0	2.0	NUM
cana-1706	366	36	energy	energy	NOUN
cana-1706	366	37	consumption	consumption	NOUN
cana-1706	366	38	(	(	PUNCT
cana-1706	366	39	j	j	NOUN
cana-1706	366	40	)	)	PUNCT
cana-1706	366	41	25.8	25.8	NUM
cana-1706	366	42	22.1	22.1	NUM
cana-1706	366	43	latency	latency	NOUN
cana-1706	366	44	(	(	PUNCT
cana-1706	366	45	ms	ms	PROPN
cana-1706	366	46	)	)	PUNCT
cana-1706	366	47	15.4	15.4	NUM
cana-1706	366	48	13.2	13.2	NUM
cana-1706	366	49	with	with	ADP
cana-1706	366	50	the	the	DET
cana-1706	366	51	help	help	NOUN
cana-1706	366	52	of	of	ADP
cana-1706	366	53	particle	particle	NOUN
cana-1706	366	54	swarm	swarm	NOUN
cana-1706	366	55	optimization	optimization	NOUN
cana-1706	366	56	(	(	PUNCT
cana-1706	366	57	pso	pso	NOUN
cana-1706	366	58	)	)	PUNCT
cana-1706	366	59	,	,	PUNCT
cana-1706	366	60	the	the	DET
cana-1706	366	61	algorithm	algorithm	NOUN
cana-1706	366	62	was	be	AUX
cana-1706	366	63	improved	improve	VERB
cana-1706	366	64	to	to	PART
cana-1706	366	65	optimize	optimize	VERB
cana-1706	366	66	the	the	DET
cana-1706	366	67	resource	resource	NOUN
cana-1706	366	68	allocation	allocation	NOUN
cana-1706	366	69	and	and	CCONJ
cana-1706	366	70	hyperparameters	hyperparameter	NOUN
cana-1706	366	71	for	for	ADP
cana-1706	366	72	machine	machine	NOUN
cana-1706	366	73	learning	learning	NOUN
cana-1706	366	74	models	model	NOUN
cana-1706	366	75	.	.	PUNCT
cana-1706	367	1	pso	pso	NOUN
cana-1706	367	2	was	be	AUX
cana-1706	367	3	helpful	helpful	ADJ
cana-1706	367	4	in	in	ADP
cana-1706	367	5	a	a	DET
cana-1706	367	6	network	network	NOUN
cana-1706	367	7	of	of	ADP
cana-1706	367	8	iot	iot	NOUN
cana-1706	367	9	where	where	SCONJ
cana-1706	367	10	the	the	DET
cana-1706	367	11	computational	computational	ADJ
cana-1706	367	12	resources	resource	NOUN
cana-1706	367	13	are	be	AUX
cana-1706	367	14	limited	limit	VERB
cana-1706	367	15	since	since	SCONJ
cana-1706	367	16	it	it	PRON
cana-1706	367	17	guaranteed	guarantee	VERB
cana-1706	367	18	that	that	SCONJ
cana-1706	367	19	the	the	DET
cana-1706	367	20	models	model	NOUN
cana-1706	367	21	performed	perform	VERB
cana-1706	367	22	without	without	ADP
cana-1706	367	23	overloading	overload	VERB
cana-1706	367	24	the	the	DET
cana-1706	367	25	system	system	NOUN
cana-1706	367	26	.	.	PUNCT
cana-1706	368	1	pso	pso	NOUN
cana-1706	368	2	was	be	AUX
cana-1706	368	3	introduced	introduce	VERB
cana-1706	368	4	to	to	PART
cana-1706	368	5	increase	increase	VERB
cana-1706	368	6	the	the	DET
cana-1706	368	7	energy	energy	NOUN
cana-1706	368	8	savings	saving	NOUN
cana-1706	368	9	of	of	ADP
cana-1706	368	10	the	the	DET
cana-1706	368	11	already	already	ADV
cana-1706	368	12	resource	resource	NOUN
cana-1706	368	13	-	-	PUNCT
cana-1706	368	14	constrained	constrain	VERB
cana-1706	368	15	iot	iot	NOUN
cana-1706	368	16	with	with	ADP
cana-1706	368	17	at	at	ADV
cana-1706	368	18	least	least	ADV
cana-1706	368	19	10–15	10–15	NUM
cana-1706	368	20	%	%	NOUN
cana-1706	368	21	when	when	SCONJ
cana-1706	368	22	compared	compare	VERB
cana-1706	368	23	to	to	ADP
cana-1706	368	24	non	non	ADJ
cana-1706	368	25	-	-	ADJ
cana-1706	368	26	optimized	optimize	VERB
cana-1706	368	27	models	model	NOUN
cana-1706	368	28	.	.	PUNCT
cana-1706	369	1	detection	detection	NOUN
cana-1706	369	2	accuracy	accuracy	NOUN
cana-1706	369	3	also	also	ADV
cana-1706	369	4	went	go	VERB
cana-1706	369	5	up	up	ADP
cana-1706	369	6	by	by	ADP
cana-1706	369	7	about	about	ADV
cana-1706	369	8	2	2	NUM
cana-1706	369	9	-	-	SYM
cana-1706	369	10	3	3	NUM
cana-1706	369	11	%	%	NOUN
cana-1706	369	12	,	,	PUNCT
cana-1706	369	13	with	with	ADP
cana-1706	369	14	hardly	hardly	ADV
cana-1706	369	15	any	any	PRON
cana-1706	369	16	increased	increase	VERB
cana-1706	369	17	in	in	ADP
cana-1706	369	18	the	the	DET
cana-1706	369	19	fpr	fpr	NOUN
cana-1706	369	20	.	.	PUNCT
cana-1706	370	1	though	though	SCONJ
cana-1706	370	2	it	it	PRON
cana-1706	370	3	was	be	AUX
cana-1706	370	4	found	find	VERB
cana-1706	370	5	that	that	SCONJ
cana-1706	370	6	pso	pso	NOUN
cana-1706	370	7	is	be	AUX
cana-1706	370	8	lighter	light	ADJ
cana-1706	370	9	in	in	ADP
cana-1706	370	10	terms	term	NOUN
cana-1706	370	11	of	of	ADP
cana-1706	370	12	weight	weight	NOUN
cana-1706	370	13	than	than	ADP
cana-1706	370	14	genetic	genetic	ADJ
cana-1706	370	15	algorithms	algorithm	NOUN
cana-1706	370	16	or	or	CCONJ
cana-1706	370	17	another	another	DET
cana-1706	370	18	similar	similar	ADJ
cana-1706	370	19	optimization	optimization	NOUN
cana-1706	370	20	method	method	NOUN
cana-1706	370	21	,	,	PUNCT
cana-1706	370	22	thus	thus	ADV
cana-1706	370	23	making	make	VERB
cana-1706	370	24	it	it	PRON
cana-1706	370	25	a	a	DET
cana-1706	370	26	good	good	ADJ
cana-1706	370	27	candidate	candidate	NOUN
cana-1706	370	28	for	for	ADP
cana-1706	370	29	real	real	ADJ
cana-1706	370	30	-	-	PUNCT
cana-1706	370	31	time	time	NOUN
cana-1706	370	32	iot	iot	NOUN
cana-1706	370	33	applications	application	NOUN
cana-1706	370	34	where	where	SCONJ
cana-1706	370	35	time	time	NOUN
cana-1706	370	36	to	to	PART
cana-1706	370	37	response	response	VERB
cana-1706	370	38	/	/	SYM
cana-1706	370	39	low	low	ADJ
cana-1706	370	40	latency	latency	NOUN
cana-1706	370	41	answers	answer	NOUN
cana-1706	370	42	are	be	AUX
cana-1706	370	43	critical	critical	ADJ
cana-1706	370	44	.	.	PUNCT
cana-1706	371	1	the	the	DET
cana-1706	371	2	experimental	experimental	ADJ
cana-1706	371	3	results	result	NOUN
cana-1706	371	4	demonstrate	demonstrate	VERB
cana-1706	371	5	that	that	SCONJ
cana-1706	371	6	ga	ga	PROPN
cana-1706	371	7	and	and	CCONJ
cana-1706	371	8	pso	pso	NOUN
cana-1706	371	9	are	be	AUX
cana-1706	371	10	well	well	ADV
cana-1706	371	11	-	-	PUNCT
cana-1706	371	12	fitted	fit	VERB
cana-1706	371	13	for	for	ADP
cana-1706	371	14	combining	combine	VERB
cana-1706	371	15	with	with	ADP
cana-1706	371	16	anomaly	anomaly	NOUN
cana-1706	371	17	detection	detection	NOUN
cana-1706	371	18	models	model	NOUN
cana-1706	371	19	triggers	trigger	VERB
cana-1706	371	20	a	a	DET
cana-1706	371	21	mark	mark	NOUN
cana-1706	371	22	improvement	improvement	NOUN
cana-1706	371	23	in	in	ADP
cana-1706	371	24	the	the	DET
cana-1706	371	25	accuracy	accuracy	NOUN
cana-1706	371	26	of	of	ADP
cana-1706	371	27	detections	detection	NOUN
cana-1706	371	28	as	as	ADV
cana-1706	371	29	well	well	ADV
cana-1706	371	30	as	as	ADP
cana-1706	371	31	efficiency	efficiency	NOUN
cana-1706	371	32	.	.	PUNCT
cana-1706	372	1	by	by	ADP
cana-1706	372	2	dynamically	dynamically	ADV
cana-1706	372	3	tuning	tune	VERB
cana-1706	372	4	model	model	NOUN
cana-1706	372	5	parameters	parameter	NOUN
cana-1706	372	6	and	and	CCONJ
cana-1706	372	7	resource	resource	NOUN
cana-1706	372	8	utilization	utilization	NOUN
cana-1706	372	9	,	,	PUNCT
cana-1706	372	10	these	these	DET
cana-1706	372	11	optimization	optimization	NOUN
cana-1706	372	12	algorithms	algorithm	NOUN
cana-1706	372	13	guarantee	guarantee	VERB
cana-1706	372	14	the	the	DET
cana-1706	372	15	effectiveness	effectiveness	NOUN
cana-1706	372	16	and	and	CCONJ
cana-1706	372	17	scalability	scalability	NOUN
cana-1706	372	18	of	of	ADP
cana-1706	372	19	the	the	DET
cana-1706	372	20	system	system	NOUN
cana-1706	372	21	also	also	ADV
cana-1706	372	22	in	in	ADP
cana-1706	372	23	large	large	ADJ
cana-1706	372	24	scale	scale	NOUN
cana-1706	372	25	iot	iot	NOUN
cana-1706	372	26	networks	network	NOUN
cana-1706	372	27	with	with	ADP
cana-1706	372	28	limited	limited	ADJ
cana-1706	372	29	computing	computing	NOUN
cana-1706	372	30	resources	resource	NOUN
cana-1706	372	31	.	.	PUNCT
cana-1706	373	1	3	3	X
cana-1706	373	2	.	.	X
cana-1706	373	3	low	low	ADJ
cana-1706	373	4	-	-	PUNCT
cana-1706	373	5	energy	energy	NOUN
cana-1706	373	6	but	but	CCONJ
cana-1706	373	7	high	high	ADJ
cana-1706	373	8	-	-	PUNCT
cana-1706	373	9	latency	latency	NOUN
cana-1706	373	10	otavio	otavio	NOUN
cana-1706	373	11	has	have	AUX
cana-1706	373	12	created	create	VERB
cana-1706	373	13	one	one	NUM
cana-1706	373	14	of	of	ADP
cana-1706	373	15	the	the	DET
cana-1706	373	16	most	most	ADV
cana-1706	373	17	unique	unique	ADJ
cana-1706	373	18	and	and	CCONJ
cana-1706	373	19	valuable	valuable	ADJ
cana-1706	373	20	iot	iot	ADJ
cana-1706	373	21	security	security	NOUN
cana-1706	373	22	offerings	offering	NOUN
cana-1706	373	23	in	in	ADP
cana-1706	373	24	the	the	DET
cana-1706	373	25	market	market	NOUN
cana-1706	373	26	,	,	PUNCT
cana-1706	373	27	utilizing	utilize	VERB
cana-1706	373	28	its	its	PRON
cana-1706	373	29	expertise	expertise	NOUN
cana-1706	373	30	in	in	ADP
cana-1706	373	31	energy	energy	NOUN
cana-1706	373	32	consumption	consumption	NOUN
cana-1706	373	33	and	and	CCONJ
cana-1706	373	34	latency	latency	NOUN
cana-1706	373	35	to	to	PART
cana-1706	373	36	create	create	VERB
cana-1706	373	37	solutions	solution	NOUN
cana-1706	373	38	that	that	PRON
cana-1706	373	39	are	be	AUX
cana-1706	373	40	well	well	ADV
cana-1706	373	41	-	-	PUNCT
cana-1706	373	42	suited	suit	VERB
cana-1706	373	43	for	for	ADP
cana-1706	373	44	iot	iot	ADJ
cana-1706	373	45	environments	environment	NOUN
cana-1706	373	46	(	(	PUNCT
cana-1706	373	47	where	where	SCONJ
cana-1706	373	48	many	many	ADJ
cana-1706	373	49	devices	device	NOUN
cana-1706	373	50	live	live	VERB
cana-1706	373	51	on	on	ADP
cana-1706	373	52	battery	battery	NOUN
cana-1706	373	53	)	)	PUNCT
cana-1706	373	54	.	.	PUNCT
cana-1706	374	1	a	a	DET
cana-1706	374	2	selling	selling	NOUN
cana-1706	374	3	point	point	NOUN
cana-1706	374	4	of	of	ADP
cana-1706	374	5	the	the	DET
cana-1706	374	6	method	method	NOUN
cana-1706	374	7	is	be	AUX
cana-1706	374	8	that	that	SCONJ
cana-1706	374	9	it	it	PRON
cana-1706	374	10	can	can	AUX
cana-1706	374	11	process	process	VERB
cana-1706	374	12	as	as	ADV
cana-1706	374	13	many	many	ADJ
cana-1706	374	14	files	file	NOUN
cana-1706	374	15	in	in	ADP
cana-1706	374	16	as	as	ADV
cana-1706	374	17	short	short	ADJ
cana-1706	374	18	a	a	DET
cana-1706	374	19	time	time	NOUN
cana-1706	374	20	as	as	ADP
cana-1706	374	21	possible	possible	ADJ
cana-1706	374	22	to	to	PART
cana-1706	374	23	minimize	minimize	VERB
cana-1706	374	24	energy	energy	NOUN
cana-1706	374	25	use	use	NOUN
cana-1706	374	26	and	and	CCONJ
cana-1706	374	27	the	the	DET
cana-1706	374	28	latency	latency	NOUN
cana-1706	374	29	for	for	ADP
cana-1706	374	30	detecting	detect	VERB
cana-1706	374	31	cyber	cyber	NOUN
cana-1706	374	32	threats	threat	NOUN
cana-1706	374	33	.	.	PUNCT
cana-1706	375	1	communications	communication	NOUN
cana-1706	375	2	on	on	ADP
cana-1706	375	3	applied	apply	VERB
cana-1706	375	4	nonlinear	nonlinear	ADJ
cana-1706	375	5	analysis	analysis	NOUN
cana-1706	375	6	issn	issn	NOUN
cana-1706	375	7	:	:	PUNCT
cana-1706	375	8	1074	1074	NUM
cana-1706	375	9	-	-	PUNCT
cana-1706	375	10	133x	133x	NUM
cana-1706	375	11	vol	vol	NOUN
cana-1706	375	12	32	32	NUM
cana-1706	375	13	no	no	NOUN
cana-1706	375	14	.	.	NOUN
cana-1706	375	15	2	2	NUM
cana-1706	375	16	(	(	PUNCT
cana-1706	375	17	2025	2025	NUM
cana-1706	375	18	)	)	PUNCT
cana-1706	375	19	47	47	NUM
cana-1706	375	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	375	21	table	table	NOUN
cana-1706	375	22	7	7	NUM
cana-1706	375	23	:	:	PUNCT
cana-1706	375	24	energy	energy	NOUN
cana-1706	375	25	consumption	consumption	NOUN
cana-1706	375	26	of	of	ADP
cana-1706	375	27	different	different	ADJ
cana-1706	375	28	models	model	NOUN
cana-1706	375	29	model	model	VERB
cana-1706	375	30	energy	energy	NOUN
cana-1706	375	31	consumption	consumption	NOUN
cana-1706	375	32	(	(	PUNCT
cana-1706	375	33	j	j	NOUN
cana-1706	375	34	)	)	PUNCT
cana-1706	375	35	supervised	supervise	VERB
cana-1706	375	36	learning	learn	VERB
cana-1706	375	37	25.8	25.8	NUM
cana-1706	375	38	unsupervised	unsupervised	ADJ
cana-1706	375	39	learning	learn	VERB
cana-1706	375	40	20.3	20.3	NUM
cana-1706	375	41	hybrid	hybrid	ADJ
cana-1706	375	42	model	model	NOUN
cana-1706	375	43	(	(	PUNCT
cana-1706	375	44	with	with	ADP
cana-1706	375	45	pso	pso	NOUN
cana-1706	375	46	)	)	PUNCT
cana-1706	375	47	22.1	22.1	NUM
cana-1706	375	48	the	the	DET
cana-1706	375	49	latency	latency	NOUN
cana-1706	375	50	:	:	PUNCT
cana-1706	375	51	wondering	wonder	VERB
cana-1706	375	52	,	,	PUNCT
cana-1706	375	53	if	if	SCONJ
cana-1706	375	54	one	one	PRON
cana-1706	375	55	is	be	AUX
cana-1706	375	56	a	a	DET
cana-1706	375	57	bit	bit	NOUN
cana-1706	375	58	too	too	ADV
cana-1706	375	59	slow	slow	ADJ
cana-1706	375	60	is	be	AUX
cana-1706	375	61	akin	akin	ADJ
cana-1706	375	62	to	to	ADP
cana-1706	375	63	just	just	ADV
cana-1706	375	64	not	not	PART
cana-1706	375	65	detecting	detect	VERB
cana-1706	375	66	failures	failure	NOUN
cana-1706	375	67	of	of	ADP
cana-1706	375	68	compromised	compromise	VERB
cana-1706	375	69	systems	system	NOUN
cana-1706	375	70	.	.	PUNCT
cana-1706	376	1	the	the	DET
cana-1706	376	2	supervised	supervise	VERB
cana-1706	376	3	models	model	NOUN
cana-1706	376	4	act	act	VERB
cana-1706	376	5	on	on	ADP
cana-1706	376	6	the	the	DET
cana-1706	376	7	latency	latency	NOUN
cana-1706	376	8	of	of	ADP
cana-1706	376	9	15.4	15.4	NUM
cana-1706	376	10	milliseconds	millisecond	NOUN
cana-1706	376	11	and	and	CCONJ
cana-1706	376	12	unsupervised	unsupervised	ADJ
cana-1706	376	13	models	model	NOUN
cana-1706	376	14	are	be	AUX
cana-1706	376	15	even	even	ADV
cana-1706	376	16	faster	fast	ADJ
cana-1706	376	17	with	with	ADP
cana-1706	376	18	a	a	DET
cana-1706	376	19	latency	latency	NOUN
cana-1706	376	20	of	of	ADP
cana-1706	376	21	9.7	9.7	NUM
cana-1706	376	22	milliseconds	millisecond	NOUN
cana-1706	376	23	.	.	PUNCT
cana-1706	377	1	table	table	NOUN
cana-1706	377	2	3	3	NUM
cana-1706	377	3	shows	show	VERB
cana-1706	377	4	that	that	SCONJ
cana-1706	377	5	the	the	DET
cana-1706	377	6	average	average	ADJ
cana-1706	377	7	latency	latency	NOUN
cana-1706	377	8	of	of	ADP
cana-1706	377	9	the	the	DET
cana-1706	377	10	hybrid	hybrid	ADJ
cana-1706	377	11	model	model	NOUN
cana-1706	377	12	optimized	optimize	VERB
cana-1706	377	13	by	by	ADP
cana-1706	377	14	pso	pso	NOUN
cana-1706	377	15	and	and	CCONJ
cana-1706	377	16	deployed	deploy	VERB
cana-1706	377	17	on	on	ADP
cana-1706	377	18	edge	edge	NOUN
cana-1706	377	19	computing	computing	NOUN
cana-1706	377	20	environments	environment	NOUN
cana-1706	377	21	was	be	AUX
cana-1706	377	22	13.2	13.2	NUM
cana-1706	377	23	milliseconds	millisecond	NOUN
cana-1706	377	24	.	.	PUNCT
cana-1706	378	1	as	as	SCONJ
cana-1706	378	2	this	this	DET
cana-1706	378	3	level	level	NOUN
cana-1706	378	4	of	of	ADP
cana-1706	378	5	latency	latency	NOUN
cana-1706	378	6	will	will	AUX
cana-1706	378	7	be	be	AUX
cana-1706	378	8	acceptable	acceptable	ADJ
cana-1706	378	9	for	for	ADP
cana-1706	378	10	real	real	ADJ
cana-1706	378	11	-	-	PUNCT
cana-1706	378	12	time	time	NOUN
cana-1706	378	13	iot	iot	PROPN
cana-1706	378	14	security	security	NOUN
cana-1706	378	15	applications	application	NOUN
cana-1706	378	16	,	,	PUNCT
cana-1706	378	17	as	as	SCONJ
cana-1706	378	18	time	time	NOUN
cana-1706	378	19	to	to	PART
cana-1706	378	20	detect	detect	VERB
cana-1706	378	21	and	and	CCONJ
cana-1706	378	22	act	act	NOUN
cana-1706	378	23	is	be	AUX
cana-1706	378	24	critical	critical	ADJ
cana-1706	378	25	in	in	ADP
cana-1706	378	26	these	these	DET
cana-1706	378	27	use	use	NOUN
cana-1706	378	28	-	-	PUNCT
cana-1706	378	29	cases	case	NOUN
cana-1706	378	30	to	to	PART
cana-1706	378	31	reduce	reduce	VERB
cana-1706	378	32	the	the	DET
cana-1706	378	33	window	window	NOUN
cana-1706	378	34	during	during	ADP
cana-1706	378	35	which	which	PRON
cana-1706	378	36	threat	threat	NOUN
cana-1706	378	37	actors	actor	NOUN
cana-1706	378	38	can	can	AUX
cana-1706	378	39	have	have	VERB
cana-1706	378	40	an	an	DET
cana-1706	378	41	impact	impact	NOUN
cana-1706	378	42	.	.	PUNCT
cana-1706	379	1	their	their	PRON
cana-1706	379	2	strategy	strategy	NOUN
cana-1706	379	3	also	also	ADV
cana-1706	379	4	leveraged	leverage	VERB
cana-1706	379	5	edge	edge	NOUN
cana-1706	379	6	computing	computing	NOUN
cana-1706	379	7	,	,	PUNCT
cana-1706	379	8	which	which	PRON
cana-1706	379	9	is	be	AUX
cana-1706	379	10	all	all	ADV
cana-1706	379	11	about	about	ADP
cana-1706	379	12	processing	processing	NOUN
cana-1706	379	13	data	datum	NOUN
cana-1706	379	14	closer	close	ADV
cana-1706	379	15	to	to	ADP
cana-1706	379	16	where	where	SCONJ
cana-1706	379	17	it	it	PRON
cana-1706	379	18	was	be	AUX
cana-1706	379	19	generated	generate	VERB
cana-1706	379	20	in	in	ADP
cana-1706	379	21	order	order	NOUN
cana-1706	379	22	to	to	PART
cana-1706	379	23	reduce	reduce	VERB
cana-1706	379	24	latency	latency	NOUN
cana-1706	379	25	instead	instead	ADV
cana-1706	379	26	of	of	ADP
cana-1706	379	27	relaying	relay	VERB
cana-1706	379	28	that	that	SCONJ
cana-1706	379	29	data	datum	NOUN
cana-1706	379	30	back	back	ADV
cana-1706	379	31	over	over	ADP
cana-1706	379	32	the	the	DET
cana-1706	379	33	network	network	NOUN
cana-1706	379	34	to	to	ADP
cana-1706	379	35	a	a	DET
cana-1706	379	36	central	central	ADJ
cana-1706	379	37	server	server	NOUN
cana-1706	379	38	for	for	ADP
cana-1706	379	39	analysis	analysis	NOUN
cana-1706	379	40	.	.	PUNCT
cana-1706	380	1	table	table	NOUN
cana-1706	380	2	8	8	NUM
cana-1706	380	3	:	:	PUNCT
cana-1706	380	4	latency	latency	NOUN
cana-1706	380	5	of	of	ADP
cana-1706	380	6	different	different	ADJ
cana-1706	380	7	models	model	NOUN
cana-1706	380	8	model	model	NOUN
cana-1706	380	9	latency	latency	PROPN
cana-1706	380	10	(	(	PUNCT
cana-1706	380	11	ms	ms	PROPN
cana-1706	380	12	)	)	PUNCT
cana-1706	380	13	supervised	supervise	VERB
cana-1706	380	14	learning	learn	VERB
cana-1706	380	15	15.4	15.4	NUM
cana-1706	380	16	unsupervised	unsupervised	ADJ
cana-1706	380	17	learning	learn	VERB
cana-1706	380	18	9.7	9.7	NUM
cana-1706	380	19	hybrid	hybrid	NOUN
cana-1706	380	20	model	model	NOUN
cana-1706	380	21	(	(	PUNCT
cana-1706	380	22	with	with	ADP
cana-1706	380	23	pso	pso	NOUN
cana-1706	380	24	)	)	PUNCT
cana-1706	380	25	13.2	13.2	NUM
cana-1706	380	26	the	the	DET
cana-1706	380	27	results	result	NOUN
cana-1706	380	28	indicate	indicate	VERB
cana-1706	380	29	that	that	SCONJ
cana-1706	380	30	the	the	DET
cana-1706	380	31	proposed	propose	VERB
cana-1706	380	32	technique	technique	NOUN
cana-1706	380	33	is	be	AUX
cana-1706	380	34	able	able	ADJ
cana-1706	380	35	to	to	PART
cana-1706	380	36	provide	provide	VERB
cana-1706	380	37	energy	energy	NOUN
cana-1706	380	38	-	-	PUNCT
cana-1706	380	39	efficient	efficient	ADJ
cana-1706	380	40	as	as	ADV
cana-1706	380	41	well	well	ADV
cana-1706	380	42	as	as	ADP
cana-1706	380	43	real	real	ADJ
cana-1706	380	44	-	-	PUNCT
cana-1706	380	45	time	time	NOUN
cana-1706	380	46	threat	threat	NOUN
cana-1706	380	47	detection	detection	NOUN
cana-1706	380	48	in	in	ADP
cana-1706	380	49	iot	iot	PROPN
cana-1706	380	50	networks	network	NOUN
cana-1706	380	51	.	.	PUNCT
cana-1706	381	1	the	the	DET
cana-1706	381	2	system	system	NOUN
cana-1706	381	3	accomplishes	accomplish	VERB
cana-1706	381	4	this	this	PRON
cana-1706	381	5	by	by	ADP
cana-1706	381	6	optimising	optimise	VERB
cana-1706	381	7	energy	energy	NOUN
cana-1706	381	8	consumption	consumption	NOUN
cana-1706	381	9	to	to	PART
cana-1706	381	10	prevent	prevent	VERB
cana-1706	381	11	draining	drain	VERB
cana-1706	381	12	these	these	DET
cana-1706	381	13	iot	iot	ADJ
cana-1706	381	14	devices	device	NOUN
cana-1706	381	15	of	of	ADP
cana-1706	381	16	power	power	NOUN
cana-1706	381	17	supplies	supply	NOUN
cana-1706	381	18	,	,	PUNCT
cana-1706	381	19	or	or	CCONJ
cana-1706	381	20	else	else	ADV
cana-1706	381	21	make	make	VERB
cana-1706	381	22	them	they	PRON
cana-1706	381	23	slow	slow	ADJ
cana-1706	381	24	with	with	ADP
cana-1706	381	25	high	high	ADJ
cana-1706	381	26	latency	latency	NOUN
cana-1706	381	27	.	.	PUNCT
cana-1706	382	1	4	4	X
cana-1706	382	2	.	.	X
cana-1706	382	3	scalability	scalability	NOUN
cana-1706	382	4	and	and	CCONJ
cana-1706	382	5	adaptability	adaptability	NOUN
cana-1706	382	6	one	one	NUM
cana-1706	382	7	of	of	ADP
cana-1706	382	8	the	the	DET
cana-1706	382	9	crucial	crucial	ADJ
cana-1706	382	10	aspects	aspect	NOUN
cana-1706	382	11	of	of	ADP
cana-1706	382	12	the	the	DET
cana-1706	382	13	proposed	propose	VERB
cana-1706	382	14	methodology	methodology	NOUN
cana-1706	382	15	is	be	AUX
cana-1706	382	16	its	its	PRON
cana-1706	382	17	scalability	scalability	NOUN
cana-1706	382	18	and	and	CCONJ
cana-1706	382	19	dynamicity	dynamicity	NOUN
cana-1706	382	20	to	to	PART
cana-1706	382	21	fit	fit	VERB
cana-1706	382	22	into	into	ADP
cana-1706	382	23	large	large	ADJ
cana-1706	382	24	-	-	PUNCT
cana-1706	382	25	scale	scale	NOUN
cana-1706	382	26	constrained	constrain	VERB
cana-1706	382	27	iot	iot	NOUN
cana-1706	382	28	networks	network	NOUN
cana-1706	382	29	.	.	PUNCT
cana-1706	383	1	results	result	NOUN
cana-1706	383	2	show	show	VERB
cana-1706	383	3	our	our	PRON
cana-1706	383	4	system	system	NOUN
cana-1706	383	5	is	be	AUX
cana-1706	383	6	able	able	ADJ
cana-1706	383	7	to	to	PART
cana-1706	383	8	scale	scale	VERB
cana-1706	383	9	because	because	SCONJ
cana-1706	383	10	it	it	PRON
cana-1706	383	11	accommodates	accommodate	VERB
cana-1706	383	12	a	a	DET
cana-1706	383	13	high	high	ADJ
cana-1706	383	14	volume	volume	NOUN
cana-1706	383	15	of	of	ADP
cana-1706	383	16	devices	device	NOUN
cana-1706	383	17	and	and	CCONJ
cana-1706	383	18	data	datum	NOUN
cana-1706	383	19	yet	yet	CCONJ
cana-1706	383	20	it	it	PRON
cana-1706	383	21	performs	perform	VERB
cana-1706	383	22	electro	electro	NOUN
cana-1706	383	23	-	-	PUNCT
cana-1706	383	24	optically	optically	ADV
cana-1706	383	25	with	with	ADP
cana-1706	383	26	minimal	minimal	ADJ
cana-1706	383	27	degradation	degradation	NOUN
cana-1706	383	28	.	.	PUNCT
cana-1706	384	1	the	the	DET
cana-1706	384	2	scalability	scalability	NOUN
cana-1706	384	3	of	of	ADP
cana-1706	384	4	unsupervised	unsupervised	ADJ
cana-1706	384	5	models	model	NOUN
cana-1706	384	6	was	be	AUX
cana-1706	384	7	improved	improve	VERB
cana-1706	384	8	over	over	ADP
cana-1706	384	9	supervised	supervised	ADJ
cana-1706	384	10	approaches	approach	NOUN
cana-1706	384	11	which	which	PRON
cana-1706	384	12	have	have	VERB
cana-1706	384	13	to	to	PART
cana-1706	384	14	be	be	AUX
cana-1706	384	15	re	re	VERB
cana-1706	384	16	-	-	VERB
cana-1706	384	17	trained	train	VERB
cana-1706	384	18	repeatedly	repeatedly	ADV
cana-1706	384	19	with	with	ADP
cana-1706	384	20	labeled	label	VERB
cana-1706	384	21	data	datum	NOUN
cana-1706	384	22	.	.	PUNCT
cana-1706	385	1	the	the	DET
cana-1706	385	2	hybrid	hybrid	ADJ
cana-1706	385	3	model	model	NOUN
cana-1706	385	4	achieved	achieve	VERB
cana-1706	385	5	scalability	scalability	NOUN
cana-1706	385	6	for	for	ADP
cana-1706	385	7	networks	network	NOUN
cana-1706	385	8	with	with	ADP
cana-1706	385	9	more	more	ADJ
cana-1706	385	10	than	than	ADP
cana-1706	385	11	a	a	DET
cana-1706	385	12	thousand	thousand	NUM
cana-1706	385	13	devices	device	NOUN
cana-1706	385	14	after	after	ADP
cana-1706	385	15	optimization	optimization	NOUN
cana-1706	385	16	.	.	PUNCT
cana-1706	386	1	optimization	optimization	NOUN
cana-1706	386	2	techniques	technique	NOUN
cana-1706	386	3	like	like	ADP
cana-1706	386	4	pso	pso	NOUN
cana-1706	386	5	allowed	allow	VERB
cana-1706	386	6	to	to	PART
cana-1706	386	7	make	make	VERB
cana-1706	386	8	dynamic	dynamic	ADJ
cana-1706	386	9	resource	resource	NOUN
cana-1706	386	10	allocation	allocation	NOUN
cana-1706	386	11	in	in	ADP
cana-1706	386	12	a	a	DET
cana-1706	386	13	way	way	NOUN
cana-1706	386	14	that	that	PRON
cana-1706	386	15	the	the	DET
cana-1706	386	16	grown	grown	NOUN
cana-1706	386	17	of	of	ADP
cana-1706	386	18	the	the	DET
cana-1706	386	19	system	system	NOUN
cana-1706	386	20	is	be	AUX
cana-1706	386	21	done	do	VERB
cana-1706	386	22	without	without	ADP
cana-1706	386	23	collapsing	collapse	VERB
cana-1706	386	24	all	all	DET
cana-1706	386	25	iot	iot	NOUN
cana-1706	386	26	infrastructure	infrastructure	NOUN
cana-1706	386	27	.	.	PUNCT
cana-1706	387	1	the	the	DET
cana-1706	387	2	system	system	NOUN
cana-1706	387	3	continued	continue	VERB
cana-1706	387	4	to	to	ADP
cana-1706	387	5	detect(over	detect(over	PROPN
cana-1706	387	6	90	90	NUM
cana-1706	387	7	%	%	NOUN
cana-1706	387	8	)	)	PUNCT
cana-1706	387	9	while	while	SCONJ
cana-1706	387	10	increasing	increase	VERB
cana-1706	387	11	the	the	DET
cana-1706	387	12	number	number	NOUN
cana-1706	387	13	of	of	ADP
cana-1706	387	14	devices	device	NOUN
cana-1706	387	15	,	,	PUNCT
cana-1706	387	16	proving	prove	VERB
cana-1706	387	17	its	its	PRON
cana-1706	387	18	robustness	robustness	NOUN
cana-1706	387	19	in	in	ADP
cana-1706	387	20	high	high	ADJ
cana-1706	387	21	-	-	PUNCT
cana-1706	387	22	capacity	capacity	NOUN
cana-1706	387	23	and	and	CCONJ
cana-1706	387	24	fast	fast	ADV
cana-1706	387	25	-	-	PUNCT
cana-1706	387	26	growing	grow	VERB
cana-1706	387	27	iot	iot	ADJ
cana-1706	387	28	networks	network	NOUN
cana-1706	387	29	.	.	PUNCT
cana-1706	388	1	table	table	NOUN
cana-1706	388	2	9	9	NUM
cana-1706	388	3	:	:	PUNCT
cana-1706	388	4	scalability	scalability	NOUN
cana-1706	388	5	of	of	ADP
cana-1706	388	6	different	different	ADJ
cana-1706	388	7	models	model	NOUN
cana-1706	388	8	model	model	NOUN
cana-1706	388	9	scalability	scalability	NOUN
cana-1706	388	10	supervised	supervise	VERB
cana-1706	388	11	learning	learn	VERB
cana-1706	388	12	moderate	moderate	ADJ
cana-1706	388	13	unsupervised	unsupervised	ADJ
cana-1706	388	14	learning	learn	VERB
cana-1706	388	15	high	high	ADJ
cana-1706	388	16	hybrid	hybrid	NOUN
cana-1706	388	17	model	model	NOUN
cana-1706	388	18	(	(	PUNCT
cana-1706	388	19	with	with	SCONJ
cana-1706	388	20	pso	pso	NOUN
cana-1706	388	21	)	)	PUNCT
cana-1706	388	22	high	high	ADJ
cana-1706	388	23	communications	communication	NOUN
cana-1706	388	24	on	on	ADP
cana-1706	388	25	applied	apply	VERB
cana-1706	388	26	nonlinear	nonlinear	ADJ
cana-1706	388	27	analysis	analysis	NOUN
cana-1706	388	28	issn	issn	NOUN
cana-1706	388	29	:	:	PUNCT
cana-1706	388	30	1074	1074	NUM
cana-1706	388	31	-	-	PUNCT
cana-1706	388	32	133x	133x	NUM
cana-1706	388	33	vol	vol	NOUN
cana-1706	388	34	32	32	NUM
cana-1706	388	35	no	no	NOUN
cana-1706	388	36	.	.	NOUN
cana-1706	388	37	2	2	NUM
cana-1706	388	38	(	(	PUNCT
cana-1706	388	39	2025	2025	NUM
cana-1706	388	40	)	)	PUNCT
cana-1706	388	41	48	48	NUM
cana-1706	388	42	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	388	43	you	you	PRON
cana-1706	388	44	must	must	AUX
cana-1706	388	45	have	have	AUX
cana-1706	388	46	heard	hear	VERB
cana-1706	388	47	this	this	DET
cana-1706	388	48	term	term	NOUN
cana-1706	388	49	before	before	ADV
cana-1706	388	50	in	in	ADP
cana-1706	388	51	the	the	DET
cana-1706	388	52	context	context	NOUN
cana-1706	388	53	of	of	ADP
cana-1706	388	54	security	security	NOUN
cana-1706	388	55	testing	testing	NOUN
cana-1706	388	56	,	,	PUNCT
cana-1706	388	57	this	this	DET
cana-1706	388	58	method	method	NOUN
cana-1706	388	59	has	have	VERB
cana-1706	388	60	various	various	ADJ
cana-1706	388	61	techniques	technique	NOUN
cana-1706	388	62	under	under	ADP
cana-1706	388	63	it	it	PRON
cana-1706	388	64	like	like	ADP
cana-1706	388	65	:	:	PUNCT
cana-1706	388	66	adaptability	adaptability	NOUN
cana-1706	388	67	is	be	AUX
cana-1706	388	68	tested	test	VERB
cana-1706	388	69	by	by	ADP
cana-1706	388	70	adding	add	VERB
cana-1706	388	71	new	new	ADJ
cana-1706	388	72	devices	device	NOUN
cana-1706	388	73	into	into	ADP
cana-1706	388	74	the	the	DET
cana-1706	388	75	network	network	NOUN
cana-1706	388	76	or	or	CCONJ
cana-1706	388	77	novel	novel	ADJ
cana-1706	388	78	attack	attack	NOUN
cana-1706	388	79	vectors	vector	NOUN
cana-1706	388	80	introduced	introduce	VERB
cana-1706	388	81	into	into	ADP
cana-1706	388	82	the	the	DET
cana-1706	388	83	system(hostile	system(hostile	ADJ
cana-1706	388	84	)	)	PUNCT
cana-1706	388	85	phase	phase	NOUN
cana-1706	388	86	reaches	reach	VERB
cana-1706	388	87	its	its	PRON
cana-1706	388	88	peak	peak	NOUN
cana-1706	388	89	and	and	CCONJ
cana-1706	388	90	then	then	ADV
cana-1706	388	91	crash	crash	VERB
cana-1706	388	92	because	because	SCONJ
cana-1706	388	93	there	there	PRON
cana-1706	388	94	are	be	VERB
cana-1706	388	95	dozens	dozen	NOUN
cana-1706	388	96	of	of	ADP
cana-1706	388	97	ways	way	NOUN
cana-1706	388	98	we	we	PRON
cana-1706	388	99	can	can	AUX
cana-1706	388	100	do	do	VERB
cana-1706	388	101	security	security	NOUN
cana-1706	388	102	testing	testing	NOUN
cana-1706	388	103	on	on	ADP
cana-1706	388	104	a	a	DET
cana-1706	388	105	single	single	ADJ
cana-1706	388	106	application	application	NOUN
cana-1706	388	107	.	.	PUNCT
cana-1706	389	1	due	due	ADP
cana-1706	389	2	to	to	ADP
cana-1706	389	3	the	the	DET
cana-1706	389	4	capacity	capacity	NOUN
cana-1706	389	5	of	of	ADP
cana-1706	389	6	detecting	detect	VERB
cana-1706	389	7	both	both	PRON
cana-1706	389	8	recognized	recognize	VERB
cana-1706	389	9	and	and	CCONJ
cana-1706	389	10	non	non	ADJ
cana-1706	389	11	-	-	ADJ
cana-1706	389	12	recognized	recognize	VERB
cana-1706	389	13	threats	threat	NOUN
cana-1706	389	14	of	of	ADP
cana-1706	389	15	the	the	DET
cana-1706	389	16	hybrid	hybrid	ADJ
cana-1706	389	17	model	model	NOUN
cana-1706	389	18	,	,	PUNCT
cana-1706	389	19	it	it	PRON
cana-1706	389	20	was	be	AUX
cana-1706	389	21	able	able	ADJ
cana-1706	389	22	to	to	PART
cana-1706	389	23	expand	expand	VERB
cana-1706	389	24	with	with	ADP
cana-1706	389	25	adaptations	adaptation	NOUN
cana-1706	389	26	in	in	ADP
cana-1706	389	27	the	the	DET
cana-1706	389	28	network	network	NOUN
cana-1706	389	29	.	.	PUNCT
cana-1706	390	1	the	the	DET
cana-1706	390	2	real	real	ADJ
cana-1706	390	3	-	-	PUNCT
cana-1706	390	4	time	time	NOUN
cana-1706	390	5	adaptable	adaptable	ADJ
cana-1706	390	6	learning	learning	NOUN
cana-1706	390	7	mechanism	mechanism	NOUN
cana-1706	390	8	helped	help	VERB
cana-1706	390	9	the	the	DET
cana-1706	390	10	system	system	NOUN
cana-1706	390	11	to	to	PART
cana-1706	390	12	update	update	VERB
cana-1706	390	13	its	its	PRON
cana-1706	390	14	detection	detection	NOUN
cana-1706	390	15	models	model	NOUN
cana-1706	390	16	on	on	ADP
cana-1706	390	17	-	-	PUNCT
cana-1706	390	18	the	the	DET
cana-1706	390	19	-	-	PUNCT
cana-1706	390	20	fly	fly	NOUN
cana-1706	390	21	and	and	CCONJ
cana-1706	390	22	thus	thus	ADV
cana-1706	390	23	it	it	PRON
cana-1706	390	24	to	to	PART
cana-1706	390	25	operate	operate	VERB
cana-1706	390	26	efficiently	efficiently	ADV
cana-1706	390	27	across	across	ADP
cana-1706	390	28	variously	variously	ADV
cana-1706	390	29	changing	change	VERB
cana-1706	390	30	threat	threat	NOUN
cana-1706	390	31	scenarios	scenario	NOUN
cana-1706	390	32	without	without	ADP
cana-1706	390	33	any	any	DET
cana-1706	390	34	manual	manual	ADJ
cana-1706	390	35	effort	effort	NOUN
cana-1706	390	36	.	.	PUNCT
cana-1706	391	1	the	the	DET
cana-1706	391	2	feedback	feedback	NOUN
cana-1706	391	3	loop	loop	NOUN
cana-1706	391	4	not	not	PART
cana-1706	391	5	only	only	ADV
cana-1706	391	6	provided	provide	VERB
cana-1706	391	7	real	real	ADJ
cana-1706	391	8	-	-	PUNCT
cana-1706	391	9	time	time	NOUN
cana-1706	391	10	updates	update	NOUN
cana-1706	391	11	on	on	ADP
cana-1706	391	12	false	false	ADJ
cana-1706	391	13	positives	positive	NOUN
cana-1706	391	14	and	and	CCONJ
cana-1706	391	15	detection	detection	NOUN
cana-1706	391	16	accuracy	accuracy	NOUN
cana-1706	391	17	,	,	PUNCT
cana-1706	391	18	but	but	CCONJ
cana-1706	391	19	was	be	AUX
cana-1706	391	20	critical	critical	ADJ
cana-1706	391	21	in	in	ADP
cana-1706	391	22	ensuring	ensure	VERB
cana-1706	391	23	that	that	SCONJ
cana-1706	391	24	the	the	DET
cana-1706	391	25	system	system	NOUN
cana-1706	391	26	remained	remain	VERB
cana-1706	391	27	relevant	relevant	ADJ
cana-1706	391	28	to	to	ADP
cana-1706	391	29	dynamic	dynamic	ADJ
cana-1706	391	30	environments	environment	NOUN
cana-1706	391	31	.	.	PUNCT
cana-1706	392	1	table	table	NOUN
cana-1706	392	2	10	10	NUM
cana-1706	392	3	:	:	PUNCT
cana-1706	392	4	adaptability	adaptability	NOUN
cana-1706	392	5	of	of	ADP
cana-1706	392	6	different	different	ADJ
cana-1706	392	7	models	model	NOUN
cana-1706	392	8	to	to	ADP
cana-1706	392	9	novel	novel	ADJ
cana-1706	392	10	threats	threat	NOUN
cana-1706	392	11	model	model	NOUN
cana-1706	392	12	adaptability	adaptability	NOUN
cana-1706	392	13	supervised	supervise	VERB
cana-1706	392	14	learning	learn	VERB
cana-1706	392	15	low	low	ADJ
cana-1706	392	16	unsupervised	unsupervised	ADJ
cana-1706	392	17	learning	learn	VERB
cana-1706	392	18	medium	medium	ADJ
cana-1706	392	19	hybrid	hybrid	ADJ
cana-1706	392	20	model	model	NOUN
cana-1706	392	21	(	(	PUNCT
cana-1706	392	22	with	with	ADP
cana-1706	392	23	pso	pso	NOUN
cana-1706	392	24	)	)	PUNCT
cana-1706	392	25	high	high	ADV
cana-1706	392	26	our	our	PRON
cana-1706	392	27	simulation	simulation	NOUN
cana-1706	392	28	results	result	NOUN
cana-1706	392	29	demonstrate	demonstrate	VERB
cana-1706	392	30	that	that	SCONJ
cana-1706	392	31	the	the	DET
cana-1706	392	32	proposed	propose	VERB
cana-1706	392	33	scheme	scheme	NOUN
cana-1706	392	34	is	be	AUX
cana-1706	392	35	scalable	scalable	ADJ
cana-1706	392	36	,	,	PUNCT
cana-1706	392	37	as	as	ADV
cana-1706	392	38	well	well	ADV
cana-1706	392	39	as	as	ADP
cana-1706	392	40	easily	easily	ADV
cana-1706	392	41	tunable	tunable	ADJ
cana-1706	392	42	for	for	ADP
cana-1706	392	43	large	large	ADJ
cana-1706	392	44	-	-	PUNCT
cana-1706	392	45	scale	scale	NOUN
cana-1706	392	46	iot	iot	NOUN
cana-1706	392	47	networks	network	NOUN
cana-1706	392	48	with	with	ADP
cana-1706	392	49	dynamic	dynamic	ADJ
cana-1706	392	50	network	network	NOUN
cana-1706	392	51	states	state	NOUN
cana-1706	392	52	.	.	PUNCT
cana-1706	393	1	this	this	PRON
cana-1706	393	2	enables	enable	VERB
cana-1706	393	3	the	the	DET
cana-1706	393	4	system	system	NOUN
cana-1706	393	5	with	with	ADP
cana-1706	393	6	features	feature	NOUN
cana-1706	393	7	to	to	PART
cana-1706	393	8	detect	detect	VERB
cana-1706	393	9	new	new	ADJ
cana-1706	393	10	threats	threat	NOUN
cana-1706	393	11	as	as	ADV
cana-1706	393	12	well	well	ADV
cana-1706	393	13	as	as	ADP
cana-1706	393	14	work	work	NOUN
cana-1706	393	15	at	at	ADP
cana-1706	393	16	scale	scale	NOUN
cana-1706	393	17	,	,	PUNCT
cana-1706	393	18	providing	provide	VERB
cana-1706	393	19	broad	broad	ADV
cana-1706	393	20	-	-	PUNCT
cana-1706	393	21	based	base	VERB
cana-1706	393	22	security	security	NOUN
cana-1706	393	23	for	for	ADP
cana-1706	393	24	all	all	DET
cana-1706	393	25	types	type	NOUN
cana-1706	393	26	of	of	ADP
cana-1706	393	27	iot	iot	ADJ
cana-1706	393	28	environments	environment	NOUN
cana-1706	393	29	.	.	PUNCT
cana-1706	394	1	5	5	X
cana-1706	394	2	.	.	X
cana-1706	394	3	comparison	comparison	NOUN
cana-1706	394	4	with	with	ADP
cana-1706	394	5	contemporary	contemporary	ADJ
cana-1706	394	6	solutions	solution	NOUN
cana-1706	394	7	in	in	ADP
cana-1706	394	8	order	order	NOUN
cana-1706	394	9	to	to	PART
cana-1706	394	10	further	far	ADV
cana-1706	394	11	verify	verify	VERB
cana-1706	394	12	the	the	DET
cana-1706	394	13	effectiveness	effectiveness	NOUN
cana-1706	394	14	of	of	ADP
cana-1706	394	15	the	the	DET
cana-1706	394	16	proposed	propose	VERB
cana-1706	394	17	iot	iot	PROPN
cana-1706	394	18	security	security	NOUN
cana-1706	394	19	detection	detection	NOUN
cana-1706	394	20	method	method	NOUN
cana-1706	394	21	,	,	PUNCT
cana-1706	394	22	we	we	PRON
cana-1706	394	23	compare	compare	VERB
cana-1706	394	24	its	its	PRON
cana-1706	394	25	performance	performance	NOUN
cana-1706	394	26	with	with	ADP
cana-1706	394	27	some	some	DET
cana-1706	394	28	traditional	traditional	ADJ
cana-1706	394	29	solutions	solution	NOUN
cana-1706	394	30	in	in	ADP
cana-1706	394	31	iot	iot	ADJ
cana-1706	394	32	security	security	NOUN
cana-1706	394	33	,	,	PUNCT
cana-1706	394	34	such	such	ADJ
cana-1706	394	35	as	as	ADP
cana-1706	394	36	the	the	DET
cana-1706	394	37	general	general	ADJ
cana-1706	394	38	rule	rule	NOUN
cana-1706	394	39	pattern	pattern	NOUN
cana-1706	394	40	intrusion	intrusion	NOUN
cana-1706	394	41	detection	detection	NOUN
cana-1706	394	42	system	system	NOUN
cana-1706	394	43	(	(	PUNCT
cana-1706	394	44	ids	id	NOUN
cana-1706	394	45	)	)	PUNCT
cana-1706	394	46	,	,	PUNCT
cana-1706	394	47	and	and	CCONJ
cana-1706	394	48	some	some	DET
cana-1706	394	49	classic	classic	ADJ
cana-1706	394	50	light	light	NOUN
cana-1706	394	51	-	-	PUNCT
cana-1706	394	52	weighted	weight	VERB
cana-1706	394	53	signature	signature	NOUN
cana-1706	394	54	based	base	VERB
cana-1706	394	55	solution	solution	NOUN
cana-1706	394	56	.	.	PUNCT
cana-1706	395	1	existing	exist	VERB
cana-1706	395	2	rule	rule	NOUN
cana-1706	395	3	based	base	VERB
cana-1706	395	4	ids	id	NOUN
cana-1706	395	5	:	:	PUNCT
cana-1706	395	6	conventional	conventional	ADJ
cana-1706	395	7	ids	id	NOUN
cana-1706	395	8	systems	system	NOUN
cana-1706	395	9	with	with	ADP
cana-1706	395	10	predefined	predefine	VERB
cana-1706	395	11	rules	rule	NOUN
cana-1706	395	12	and	and	CCONJ
cana-1706	395	13	signature	signature	NOUN
cana-1706	395	14	are	be	AUX
cana-1706	395	15	outperformed	outperform	VERB
cana-1706	395	16	by	by	ADP
cana-1706	395	17	the	the	DET
cana-1706	395	18	machine	machine	NOUN
cana-1706	395	19	learning	learn	VERB
cana-1706	395	20	oriented	orient	VERB
cana-1706	395	21	approach	approach	NOUN
cana-1706	395	22	.	.	PUNCT
cana-1706	396	1	(	(	PUNCT
cana-1706	396	2	75	75	NUM
cana-1706	396	3	-	-	SYM
cana-1706	396	4	80	80	NUM
cana-1706	396	5	%	%	NOUN
cana-1706	396	6	)	)	PUNCT
cana-1706	396	7	these	these	DET
cana-1706	396	8	systems	system	NOUN
cana-1706	396	9	were	be	AUX
cana-1706	396	10	only	only	ADV
cana-1706	396	11	about	about	ADV
cana-1706	396	12	75	75	NUM
cana-1706	396	13	%	%	NOUN
cana-1706	396	14	accurate	accurate	ADJ
cana-1706	396	15	in	in	ADP
cana-1706	396	16	detection	detection	NOUN
cana-1706	396	17	and	and	CCONJ
cana-1706	396	18	did	do	AUX
cana-1706	396	19	not	not	PART
cana-1706	396	20	perform	perform	VERB
cana-1706	396	21	well	well	ADV
cana-1706	396	22	against	against	ADP
cana-1706	396	23	zero	zero	NUM
cana-1706	396	24	-	-	PUNCT
cana-1706	396	25	day	day	NOUN
cana-1706	396	26	attacks	attack	NOUN
cana-1706	396	27	.	.	PUNCT
cana-1706	397	1	the	the	DET
cana-1706	397	2	false	false	ADJ
cana-1706	397	3	-	-	PUNCT
cana-1706	397	4	positive	positive	ADJ
cana-1706	397	5	rate	rate	NOUN
cana-1706	397	6	was	be	AUX
cana-1706	397	7	also	also	ADV
cana-1706	397	8	higher	high	ADJ
cana-1706	397	9	,	,	PUNCT
cana-1706	397	10	between	between	ADP
cana-1706	397	11	6	6	NUM
cana-1706	397	12	-	-	SYM
cana-1706	397	13	8	8	NUM
cana-1706	397	14	%	%	NOUN
cana-1706	397	15	,	,	PUNCT
cana-1706	397	16	which	which	PRON
cana-1706	397	17	could	could	AUX
cana-1706	397	18	lead	lead	VERB
cana-1706	397	19	to	to	ADP
cana-1706	397	20	network	network	NOUN
cana-1706	397	21	administrators	administrator	NOUN
cana-1706	397	22	waking	wake	VERB
cana-1706	397	23	up	up	ADP
cana-1706	397	24	on	on	ADP
cana-1706	397	25	false	false	ADJ
cana-1706	397	26	alarms	alarm	NOUN
cana-1706	397	27	.	.	PUNCT
cana-1706	398	1	signature	signature	NOUN
cana-1706	398	2	-	-	PUNCT
cana-1706	398	3	based	base	VERB
cana-1706	398	4	models	model	NOUN
cana-1706	398	5	:	:	PUNCT
cana-1706	398	6	signature	signature	NOUN
cana-1706	398	7	-	-	PUNCT
cana-1706	398	8	based	base	VERB
cana-1706	398	9	models	model	NOUN
cana-1706	398	10	,	,	PUNCT
cana-1706	398	11	too	too	ADV
cana-1706	398	12	suffered	suffer	VERB
cana-1706	398	13	from	from	ADP
cana-1706	398	14	the	the	DET
cana-1706	398	15	same	same	ADJ
cana-1706	398	16	drawback	drawback	NOUN
cana-1706	398	17	of	of	ADP
cana-1706	398	18	low	low	ADJ
cana-1706	398	19	effectiveness	effectiveness	NOUN
cana-1706	398	20	.	.	PUNCT
cana-1706	399	1	although	although	SCONJ
cana-1706	399	2	these	these	DET
cana-1706	399	3	models	model	NOUN
cana-1706	399	4	achieved	achieve	VERB
cana-1706	399	5	a	a	DET
cana-1706	399	6	high	high	ADJ
cana-1706	399	7	accuracy	accuracy	NOUN
cana-1706	399	8	in	in	ADP
cana-1706	399	9	detecting	detect	VERB
cana-1706	399	10	the	the	DET
cana-1706	399	11	known	know	VERB
cana-1706	399	12	attacks	attack	NOUN
cana-1706	399	13	,	,	PUNCT
cana-1706	399	14	they	they	PRON
cana-1706	399	15	were	be	AUX
cana-1706	399	16	not	not	PART
cana-1706	399	17	suitable	suitable	ADJ
cana-1706	399	18	for	for	ADP
cana-1706	399	19	dynamic	dynamic	ADJ
cana-1706	399	20	iot	iot	NOUN
cana-1706	399	21	networks	network	NOUN
cana-1706	399	22	as	as	SCONJ
cana-1706	399	23	it	it	PRON
cana-1706	399	24	failed	fail	VERB
cana-1706	399	25	to	to	PART
cana-1706	399	26	detect	detect	VERB
cana-1706	399	27	novel	novel	ADJ
cana-1706	399	28	threats	threat	NOUN
cana-1706	399	29	.	.	PUNCT
cana-1706	400	1	with	with	ADP
cana-1706	400	2	this	this	PRON
cana-1706	400	3	,	,	PUNCT
cana-1706	400	4	the	the	DET
cana-1706	400	5	presented	present	VERB
cana-1706	400	6	hybrid	hybrid	NOUN
cana-1706	400	7	model	model	NOUN
cana-1706	400	8	outperformed	outperform	VERB
cana-1706	400	9	these	these	DET
cana-1706	400	10	solutions	solution	NOUN
cana-1706	400	11	,	,	PUNCT
cana-1706	400	12	also	also	ADV
cana-1706	400	13	showing	show	VERB
cana-1706	400	14	better	well	ADJ
cana-1706	400	15	detection	detection	NOUN
cana-1706	400	16	accuracy	accuracy	NOUN
cana-1706	400	17	and	and	CCONJ
cana-1706	400	18	lower	low	ADJ
cana-1706	400	19	false	false	ADJ
cana-1706	400	20	positive	positive	ADJ
cana-1706	400	21	.	.	PUNCT
cana-1706	401	1	table	table	NOUN
cana-1706	401	2	11	11	NUM
cana-1706	401	3	:	:	PUNCT
cana-1706	401	4	comparison	comparison	NOUN
cana-1706	401	5	of	of	ADP
cana-1706	401	6	proposed	propose	VERB
cana-1706	401	7	hybrid	hybrid	NOUN
cana-1706	401	8	model	model	NOUN
cana-1706	401	9	with	with	ADP
cana-1706	401	10	existing	exist	VERB
cana-1706	401	11	solutions	solution	NOUN
cana-1706	401	12	metric	metric	ADJ
cana-1706	401	13	hybrid	hybrid	ADJ
cana-1706	401	14	model	model	NOUN
cana-1706	401	15	rule	rule	NOUN
cana-1706	401	16	-	-	PUNCT
cana-1706	401	17	based	base	VERB
cana-1706	401	18	ids	id	NOUN
cana-1706	401	19	signature	signature	NOUN
cana-1706	401	20	-	-	PUNCT
cana-1706	401	21	based	base	VERB
cana-1706	401	22	models	model	NOUN
cana-1706	401	23	detection	detection	NOUN
cana-1706	401	24	accuracy	accuracy	NOUN
cana-1706	401	25	(	(	PUNCT
cana-1706	401	26	%	%	NOUN
cana-1706	401	27	)	)	PUNCT
cana-1706	401	28	94.1	94.1	NUM
cana-1706	401	29	75.0	75.0	NUM
cana-1706	401	30	80.0	80.0	NUM
cana-1706	401	31	false	false	ADJ
cana-1706	401	32	positive	positive	ADJ
cana-1706	401	33	rate	rate	NOUN
cana-1706	401	34	(	(	PUNCT
cana-1706	401	35	%	%	INTJ
cana-1706	401	36	)	)	PUNCT
cana-1706	401	37	1.9	1.9	NUM
cana-1706	401	38	8.0	8.0	NUM
cana-1706	401	39	6.0	6.0	NUM
cana-1706	401	40	detection	detection	NOUN
cana-1706	401	41	of	of	ADP
cana-1706	401	42	zero	zero	NUM
cana-1706	401	43	-	-	PUNCT
cana-1706	401	44	day	day	NOUN
cana-1706	401	45	attacks	attack	NOUN
cana-1706	401	46	high	high	ADJ
cana-1706	401	47	low	low	ADV
cana-1706	401	48	low	low	ADV
cana-1706	401	49	the	the	DET
cana-1706	401	50	comparison	comparison	NOUN
cana-1706	401	51	is	be	AUX
cana-1706	401	52	given	give	VERB
cana-1706	401	53	to	to	PART
cana-1706	401	54	show	show	VERB
cana-1706	401	55	the	the	DET
cana-1706	401	56	restriction	restriction	NOUN
cana-1706	401	57	of	of	ADP
cana-1706	401	58	traditional	traditional	ADJ
cana-1706	401	59	iot	iot	ADJ
cana-1706	401	60	security	security	NOUN
cana-1706	401	61	and	and	CCONJ
cana-1706	401	62	it	it	PRON
cana-1706	401	63	explains	explain	VERB
cana-1706	401	64	very	very	ADV
cana-1706	401	65	well	well	ADV
cana-1706	401	66	as	as	ADP
cana-1706	401	67	why	why	SCONJ
cana-1706	401	68	the	the	DET
cana-1706	401	69	machine	machine	NOUN
cana-1706	401	70	learning	learning	NOUN
cana-1706	401	71	based	base	VERB
cana-1706	401	72	anomaly	anomaly	NOUN
cana-1706	401	73	detection	detection	NOUN
cana-1706	401	74	should	should	AUX
cana-1706	401	75	be	be	AUX
cana-1706	401	76	used	use	VERB
cana-1706	401	77	for	for	ADP
cana-1706	401	78	anomaly	anomaly	NOUN
cana-1706	401	79	detection	detection	NOUN
cana-1706	401	80	.	.	PUNCT
cana-1706	402	1	the	the	DET
cana-1706	402	2	communications	communication	NOUN
cana-1706	402	3	on	on	ADP
cana-1706	402	4	applied	apply	VERB
cana-1706	402	5	nonlinear	nonlinear	ADJ
cana-1706	402	6	analysis	analysis	NOUN
cana-1706	402	7	issn	issn	NOUN
cana-1706	402	8	:	:	PUNCT
cana-1706	402	9	1074	1074	NUM
cana-1706	402	10	-	-	PUNCT
cana-1706	402	11	133x	133x	NUM
cana-1706	402	12	vol	vol	NOUN
cana-1706	402	13	32	32	NUM
cana-1706	402	14	no	no	NOUN
cana-1706	402	15	.	.	NOUN
cana-1706	402	16	2	2	NUM
cana-1706	402	17	(	(	PUNCT
cana-1706	402	18	2025	2025	NUM
cana-1706	402	19	)	)	PUNCT
cana-1706	402	20	49	49	NUM
cana-1706	402	21	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1706	402	22	proposed	propose	VERB
cana-1706	402	23	approach	approach	NOUN
cana-1706	402	24	is	be	AUX
cana-1706	402	25	capable	capable	ADJ
cana-1706	402	26	of	of	ADP
cana-1706	402	27	achieving	achieve	VERB
cana-1706	402	28	better	well	ADJ
cana-1706	402	29	results	result	NOUN
cana-1706	402	30	in	in	ADP
cana-1706	402	31	terms	term	NOUN
cana-1706	402	32	of	of	ADP
cana-1706	402	33	accuracy	accuracy	NOUN
cana-1706	402	34	,	,	PUNCT
cana-1706	402	35	false	false	ADJ
cana-1706	402	36	positives	positive	NOUN
cana-1706	402	37	,	,	PUNCT
cana-1706	402	38	energy	energy	NOUN
cana-1706	402	39	efficiency	efficiency	NOUN
cana-1706	402	40	and	and	CCONJ
cana-1706	402	41	scalability	scalability	NOUN
cana-1706	402	42	compared	compare	VERB
cana-1706	402	43	to	to	ADP
cana-1706	402	44	the	the	DET
cana-1706	402	45	other	other	ADJ
cana-1706	402	46	solutions	solution	NOUN
cana-1706	402	47	available	available	ADJ
cana-1706	402	48	for	for	ADP
cana-1706	402	49	securing	secure	VERB
cana-1706	402	50	iot	iot	PROPN
cana-1706	402	51	networks	network	NOUN
cana-1706	402	52	.	.	PUNCT
cana-1706	403	1	table	table	NOUN
cana-1706	403	2	12	12	NUM
cana-1706	403	3	:	:	PUNCT
cana-1706	403	4	feedback	feedback	NOUN
cana-1706	403	5	and	and	CCONJ
cana-1706	403	6	continuous	continuous	ADJ
cana-1706	403	7	learning	learning	NOUN
cana-1706	403	8	impact	impact	NOUN
cana-1706	403	9	on	on	ADP
cana-1706	403	10	detection	detection	NOUN
cana-1706	403	11	accuracy	accuracy	NOUN
cana-1706	403	12	number	number	NOUN
cana-1706	403	13	of	of	ADP
cana-1706	403	14	iterations	iteration	NOUN
cana-1706	403	15	detection	detection	NOUN
cana-1706	403	16	accuracy	accuracy	NOUN
cana-1706	403	17	(	(	PUNCT
cana-1706	403	18	%	%	NOUN
cana-1706	403	19	)	)	PUNCT
cana-1706	403	20	1	1	NUM
cana-1706	403	21	85.0	85.0	NUM
cana-1706	403	22	10	10	NUM
cana-1706	403	23	89.5	89.5	NUM
cana-1706	403	24	50	50	NUM
cana-1706	403	25	92.7	92.7	NUM
cana-1706	403	26	100	100	NUM
cana-1706	403	27	94.1	94.1	NUM
cana-1706	403	28	the	the	DET
cana-1706	403	29	results	result	NOUN
cana-1706	403	30	show	show	VERB
cana-1706	403	31	that	that	SCONJ
cana-1706	403	32	the	the	DET
cana-1706	403	33	machine	machine	NOUN
cana-1706	403	34	learning	learn	VERB
cana-1706	403	35	approach	approach	NOUN
cana-1706	403	36	for	for	ADP
cana-1706	403	37	anomaly	anomaly	NOUN
cana-1706	403	38	detection	detection	NOUN
cana-1706	403	39	and	and	CCONJ
cana-1706	403	40	optimization	optimization	NOUN
cana-1706	403	41	method	method	NOUN
cana-1706	403	42	proposed	propose	VERB
cana-1706	403	43	in	in	ADP
cana-1706	403	44	this	this	DET
cana-1706	403	45	paper	paper	NOUN
cana-1706	403	46	is	be	AUX
cana-1706	403	47	highly	highly	ADV
cana-1706	403	48	efficient	efficient	ADJ
cana-1706	403	49	in	in	ADP
cana-1706	403	50	terms	term	NOUN
cana-1706	403	51	of	of	ADP
cana-1706	403	52	bolstering	bolster	VERB
cana-1706	403	53	cybersecurity	cybersecurity	NOUN
cana-1706	403	54	for	for	ADP
cana-1706	403	55	iot	iot	NOUN
cana-1706	403	56	networks	network	NOUN
cana-1706	403	57	.	.	PUNCT
cana-1706	404	1	hybrid	hybrid	NOUN
cana-1706	404	2	—	—	PUNCT
cana-1706	404	3	grouping	grouping	NOUN
cana-1706	404	4	supervised	supervise	VERB
cana-1706	404	5	with	with	ADP
cana-1706	404	6	unsupervised	unsupervised	ADJ
cana-1706	404	7	learning	learn	VERB
cana-1706	404	8	the	the	DET
cana-1706	404	9	sagasense	sagasense	ADJ
cana-1706	404	10	system	system	NOUN
cana-1706	404	11	in	in	ADP
cana-1706	404	12	conjunction	conjunction	NOUN
cana-1706	404	13	with	with	ADP
cana-1706	404	14	seclytics	seclytic	NOUN
cana-1706	404	15	hunter	hunter	NOUN
cana-1706	404	16	,	,	PUNCT
cana-1706	404	17	was	be	AUX
cana-1706	404	18	found	find	VERB
cana-1706	404	19	to	to	PART
cana-1706	404	20	have	have	VERB
cana-1706	404	21	the	the	DET
cana-1706	404	22	highest	high	ADJ
cana-1706	404	23	detection	detection	NOUN
cana-1706	404	24	rate	rate	NOUN
cana-1706	404	25	and	and	CCONJ
cana-1706	404	26	the	the	DET
cana-1706	404	27	least	least	ADJ
cana-1706	404	28	false	false	ADJ
cana-1706	404	29	positive	positive	ADJ
cana-1706	404	30	rate	rate	NOUN
cana-1706	404	31	available	available	ADJ
cana-1706	404	32	–	–	PUNCT
cana-1706	404	33	reliably	reliably	ADV
cana-1706	404	34	identifying	identify	VERB
cana-1706	404	35	both	both	CCONJ
cana-1706	404	36	known	know	VERB
cana-1706	404	37	threats	threat	NOUN
cana-1706	404	38	and	and	CCONJ
cana-1706	404	39	0	0	NUM
cana-1706	404	40	-	-	PUNCT
cana-1706	404	41	day	day	NOUN
cana-1706	404	42	/	/	PUNCT
cana-1706	404	43	unpreviously	unpreviously	ADV
cana-1706	404	44	seen	see	VERB
cana-1706	404	45	threats	threat	NOUN
cana-1706	404	46	.	.	PUNCT
cana-1706	405	1	incorporation	incorporation	NOUN
cana-1706	405	2	of	of	ADP
cana-1706	405	3	optimization	optimization	NOUN
cana-1706	405	4	algorithms	algorithm	NOUN
cana-1706	405	5	by	by	ADP
cana-1706	405	6	the	the	DET
cana-1706	405	7	means	mean	NOUN
cana-1706	405	8	of	of	ADP
cana-1706	405	9	ga	ga	PROPN
cana-1706	405	10	and	and	CCONJ
cana-1706	405	11	pso	pso	NOUN
cana-1706	405	12	to	to	PART
cana-1706	405	13	optimize	optimize	VERB
cana-1706	405	14	system	system	NOUN
cana-1706	405	15	performance	performance	NOUN
cana-1706	405	16	with	with	ADP
cana-1706	405	17	lower	low	ADJ
cana-1706	405	18	energy	energy	NOUN
cana-1706	405	19	consumption	consumption	NOUN
cana-1706	405	20	and	and	CCONJ
cana-1706	405	21	lesser	less	ADJ
cana-1706	405	22	latency	latency	NOUN
cana-1706	405	23	ensured	ensure	VERB
cana-1706	405	24	that	that	SCONJ
cana-1706	405	25	our	our	PRON
cana-1706	405	26	system	system	NOUN
cana-1706	405	27	work	work	NOUN
cana-1706	405	28	can	can	AUX
cana-1706	405	29	effectively	effectively	ADV
cana-1706	405	30	in	in	ADP
cana-1706	405	31	resource	resource	NOUN
cana-1706	405	32	limited	limit	VERB
cana-1706	405	33	iot	iot	ADJ
cana-1706	405	34	environments	environment	NOUN
cana-1706	405	35	.	.	PUNCT
cana-1706	406	1	also	also	ADV
cana-1706	406	2	,	,	PUNCT
cana-1706	406	3	the	the	DET
cana-1706	406	4	scalability	scalability	NOUN
cana-1706	406	5	of	of	ADP
cana-1706	406	6	the	the	DET
cana-1706	406	7	system	system	NOUN
cana-1706	406	8	5	5	NUM
cana-1706	406	9	.	.	PUNCT
cana-1706	406	10	conclusion	conclusion	NOUN
cana-1706	406	11	given	give	VERB
cana-1706	406	12	the	the	DET
cana-1706	406	13	findings	finding	NOUN
cana-1706	406	14	of	of	ADP
cana-1706	406	15	this	this	DET
cana-1706	406	16	study	study	NOUN
cana-1706	406	17	in	in	ADP
cana-1706	406	18	the	the	DET
cana-1706	406	19	design	design	NOUN
cana-1706	406	20	of	of	ADP
cana-1706	406	21	a	a	DET
cana-1706	406	22	mathematical	mathematical	ADJ
cana-1706	406	23	model	model	NOUN
cana-1706	406	24	to	to	PART
cana-1706	406	25	strengthen	strengthen	VERB
cana-1706	406	26	cybersecurity	cybersecurity	NOUN
cana-1706	406	27	in	in	ADP
cana-1706	406	28	iot	iot	ADJ
cana-1706	406	29	networks	network	NOUN
cana-1706	406	30	with	with	ADP
cana-1706	406	31	machine	machine	NOUN
cana-1706	406	32	-	-	PUNCT
cana-1706	406	33	based	base	VERB
cana-1706	406	34	anomaly	anomaly	NOUN
cana-1706	406	35	detection	detection	NOUN
cana-1706	406	36	and	and	CCONJ
cana-1706	406	37	optimization	optimization	NOUN
cana-1706	406	38	methods	method	NOUN
cana-1706	406	39	,	,	PUNCT
cana-1706	406	40	it	it	PRON
cana-1706	406	41	evidentially	evidentially	ADV
cana-1706	406	42	demonstrates	demonstrate	VERB
cana-1706	406	43	various	various	ADJ
cana-1706	406	44	levels	level	NOUN
cana-1706	406	45	of	of	ADP
cana-1706	406	46	development	development	NOUN
cana-1706	406	47	and	and	CCONJ
cana-1706	406	48	newfound	newfound	NOUN
cana-1706	406	49	capabilities	capability	NOUN
cana-1706	406	50	that	that	PRON
cana-1706	406	51	is	be	AUX
cana-1706	406	52	feasible	feasible	ADJ
cana-1706	406	53	from	from	ADP
cana-1706	406	54	amalgamating	amalgamate	VERB
cana-1706	406	55	these	these	DET
cana-1706	406	56	processes	process	NOUN
cana-1706	406	57	into	into	ADP
cana-1706	406	58	context	context	NOUN
cana-1706	406	59	-	-	PUNCT
cana-1706	406	60	aware	aware	ADJ
cana-1706	406	61	security	security	NOUN
cana-1706	406	62	systems	system	NOUN
cana-1706	406	63	.	.	PUNCT
cana-1706	407	1	with	with	ADP
cana-1706	407	2	the	the	DET
cana-1706	407	3	rapid	rapid	ADJ
cana-1706	407	4	growth	growth	NOUN
cana-1706	407	5	of	of	ADP
cana-1706	407	6	iot	iot	ADJ
cana-1706	407	7	networks	network	NOUN
cana-1706	407	8	in	in	ADP
cana-1706	407	9	almost	almost	ADV
cana-1706	407	10	every	every	PRON
cana-1706	407	11	industry	industry	NOUN
cana-1706	407	12	,	,	PUNCT
cana-1706	407	13	the	the	DET
cana-1706	407	14	large	large	ADJ
cana-1706	407	15	-	-	PUNCT
cana-1706	407	16	scale	scale	NOUN
cana-1706	407	17	interconnected	interconnected	ADJ
cana-1706	407	18	nature	nature	NOUN
cana-1706	407	19	of	of	ADP
cana-1706	407	20	these	these	DET
cana-1706	407	21	systems	system	NOUN
cana-1706	407	22	exposed	expose	VERB
cana-1706	407	23	their	their	PRON
cana-1706	407	24	intrinsic	intrinsic	ADJ
cana-1706	407	25	vulnerabilities	vulnerability	NOUN
cana-1706	407	26	.	.	PUNCT
cana-1706	408	1	rule	rule	NOUN
cana-1706	408	2	-	-	PUNCT
cana-1706	408	3	based	base	VERB
cana-1706	408	4	ids	id	NOUN
cana-1706	408	5	and	and	CCONJ
cana-1706	408	6	signature	signature	NOUN
cana-1706	408	7	-	-	PUNCT
cana-1706	408	8	based	base	VERB
cana-1706	408	9	models	model	NOUN
cana-1706	408	10	as	as	ADP
cana-1706	408	11	in	in	ADP
cana-1706	408	12	traditional	traditional	ADJ
cana-1706	408	13	cybersecurity	cybersecurity	NOUN
cana-1706	408	14	are	be	AUX
cana-1706	408	15	not	not	PART
cana-1706	408	16	enough	enough	ADJ
cana-1706	408	17	to	to	PART
cana-1706	408	18	tackle	tackle	VERB
cana-1706	408	19	the	the	DET
cana-1706	408	20	extremely	extremely	ADV
cana-1706	408	21	dynamic	dynamic	ADJ
cana-1706	408	22	attack	attack	NOUN
cana-1706	408	23	surfaces	surface	NOUN
cana-1706	408	24	where	where	SCONJ
cana-1706	408	25	network	network	NOUN
cana-1706	408	26	behavior	behavior	NOUN
cana-1706	408	27	is	be	AUX
cana-1706	408	28	always	always	ADV
cana-1706	408	29	changing	change	VERB
cana-1706	408	30	.	.	PUNCT
cana-1706	409	1	that	that	DET
cana-1706	409	2	shortfall	shortfall	NOUN
cana-1706	409	3	is	be	AUX
cana-1706	409	4	largely	largely	ADV
cana-1706	409	5	attributed	attribute	VERB
cana-1706	409	6	to	to	ADP
cana-1706	409	7	the	the	DET
cana-1706	409	8	lack	lack	NOUN
cana-1706	409	9	of	of	ADP
cana-1706	409	10	these	these	DET
cana-1706	409	11	models	model	NOUN
cana-1706	409	12	to	to	PART
cana-1706	409	13	dynamically	dynamically	ADV
cana-1706	409	14	adapt	adapt	VERB
cana-1706	409	15	to	to	ADP
cana-1706	409	16	new	new	ADJ
cana-1706	409	17	and	and	CCONJ
cana-1706	409	18	emerging	emerge	VERB
cana-1706	409	19	threats	threat	NOUN
cana-1706	409	20	,	,	PUNCT
cana-1706	409	21	their	their	PRON
cana-1706	409	22	high	high	ADJ
cana-1706	409	23	false	false	ADJ
cana-1706	409	24	positive	positive	ADJ
cana-1706	409	25	rate	rate	NOUN
cana-1706	409	26	as	as	ADV
cana-1706	409	27	well	well	ADV
cana-1706	409	28	as	as	ADP
cana-1706	409	29	their	their	PRON
cana-1706	409	30	incapability	incapability	NOUN
cana-1706	409	31	in	in	ADP
cana-1706	409	32	detecting	detect	VERB
cana-1706	409	33	novel	novel	NOUN
cana-1706	409	34	or	or	CCONJ
cana-1706	409	35	zero	zero	NUM
cana-1706	409	36	-	-	PUNCT
cana-1706	409	37	day	day	NOUN
cana-1706	409	38	attacks	attack	NOUN
cana-1706	409	39	.	.	PUNCT
cana-1706	410	1	on	on	ADP
cana-1706	410	2	the	the	DET
cana-1706	410	3	other	other	ADJ
cana-1706	410	4	-	-	PUNCT
cana-1706	410	5	hand	hand	NOUN
cana-1706	410	6	,	,	PUNCT
cana-1706	410	7	machine	machine	NOUN
cana-1706	410	8	learning	learning	NOUN
cana-1706	410	9	with	with	ADP
cana-1706	410	10	anomaly	anomaly	NOUN
cana-1706	410	11	detection	detection	NOUN
cana-1706	410	12	and	and	CCONJ
cana-1706	410	13	optimization	optimization	NOUN
cana-1706	410	14	algorithms	algorithm	NOUN
cana-1706	410	15	as	as	ADP
cana-1706	410	16	an	an	DET
cana-1706	410	17	iot	iot	NOUN
cana-1706	410	18	security	security	NOUN
cana-1706	410	19	solution	solution	NOUN
cana-1706	410	20	provides	provide	VERB
cana-1706	410	21	adaptiveness	adaptiveness	NOUN
cana-1706	410	22	and	and	CCONJ
cana-1706	410	23	scalability	scalability	NOUN
cana-1706	410	24	aspect	aspect	NOUN
cana-1706	410	25	for	for	ADP
cana-1706	410	26	securing	secure	VERB
cana-1706	410	27	the	the	DET
cana-1706	410	28	iot	iot	PROPN
cana-1706	410	29	environments	environment	NOUN
cana-1706	410	30	.	.	PUNCT
cana-1706	411	1	the	the	DET
cana-1706	411	2	model	model	NOUN
cana-1706	411	3	can	can	AUX
cana-1706	411	4	automatically	automatically	ADV
cana-1706	411	5	detect	detect	VERB
cana-1706	411	6	and	and	CCONJ
cana-1706	411	7	respond	respond	VERB
cana-1706	411	8	to	to	ADP
cana-1706	411	9	new	new	ADJ
cana-1706	411	10	threats	threat	NOUN
cana-1706	411	11	in	in	ADP
cana-1706	411	12	real	real	ADJ
cana-1706	411	13	-	-	PUNCT
cana-1706	411	14	time	time	NOUN
cana-1706	411	15	using	use	VERB
cana-1706	411	16	unsupervised	unsupervised	ADJ
cana-1706	411	17	learning	learning	NOUN
cana-1706	411	18	techniques	technique	NOUN
cana-1706	411	19	,	,	PUNCT
cana-1706	411	20	making	make	VERB
cana-1706	411	21	it	it	PRON
cana-1706	411	22	relevant	relevant	ADJ
cana-1706	411	23	for	for	ADP
cana-1706	411	24	iot	iot	PROPN
cana-1706	411	25	networks	network	NOUN
cana-1706	411	26	(	(	PUNCT
cana-1706	411	27	which	which	PRON
cana-1706	411	28	typically	typically	ADV
cana-1706	411	29	operate	operate	VERB
cana-1706	411	30	in	in	ADP
cana-1706	411	31	decentralized	decentralize	VERB
cana-1706	411	32	,	,	PUNCT
cana-1706	411	33	resourceconstrained	resourceconstraine	VERB
cana-1706	411	34	environments	environment	NOUN
cana-1706	411	35	)	)	PUNCT
cana-1706	411	36	.	.	PUNCT
cana-1706	412	1	our	our	PRON
cana-1706	412	2	results	result	NOUN
cana-1706	412	3	indicate	indicate	VERB
cana-1706	412	4	that	that	SCONJ
cana-1706	412	5	a	a	DET
cana-1706	412	6	supervised	supervise	VERB
cana-1706	412	7	-	-	PUNCT
cana-1706	412	8	unsupervised	unsupervised	ADJ
cana-1706	412	9	hybrid	hybrid	NOUN
cana-1706	412	10	approach	approach	NOUN
cana-1706	412	11	achieves	achieve	VERB
cana-1706	412	12	significant	significant	ADJ
cana-1706	412	13	detection	detection	NOUN
cana-1706	412	14	performance	performance	NOUN
cana-1706	412	15	with	with	ADP
cana-1706	412	16	reduced	reduce	VERB
cana-1706	412	17	false	false	ADJ
cana-1706	412	18	positive	positive	ADJ
cana-1706	412	19	rate	rate	NOUN
cana-1706	412	20	.	.	PUNCT
cana-1706	413	1	this	this	PRON
cana-1706	413	2	is	be	AUX
cana-1706	413	3	clearly	clearly	ADV
cana-1706	413	4	so	so	ADV
cana-1706	413	5	when	when	SCONJ
cana-1706	413	6	optimization	optimization	NOUN
cana-1706	413	7	techniques	technique	NOUN
cana-1706	413	8	such	such	ADJ
cana-1706	413	9	as	as	ADP
cana-1706	413	10	genetic	genetic	ADJ
cana-1706	413	11	algorithms	algorithm	NOUN
cana-1706	413	12	(	(	PUNCT
cana-1706	413	13	ga	ga	NOUN
cana-1706	413	14	)	)	PUNCT
cana-1706	413	15	and	and	CCONJ
cana-1706	413	16	particle	particle	NOUN
cana-1706	413	17	swarm	swarm	NOUN
cana-1706	413	18	optimization	optimization	NOUN
cana-1706	413	19	(	(	PUNCT
cana-1706	413	20	pso	pso	NOUN
cana-1706	413	21	)	)	PUNCT
cana-1706	413	22	are	be	AUX
cana-1706	413	23	used	use	VERB
cana-1706	413	24	to	to	PART
cana-1706	413	25	improve	improve	VERB
cana-1706	413	26	the	the	DET
cana-1706	413	27	model	model	NOUN
cana-1706	413	28	performance	performance	NOUN
cana-1706	413	29	which	which	PRON
cana-1706	413	30	results	result	VERB
cana-1706	413	31	a	a	DET
cana-1706	413	32	better	well	ADJ
cana-1706	413	33	accuracy	accuracy	NOUN
cana-1706	413	34	,	,	PUNCT
cana-1706	413	35	efficiency	efficiency	NOUN
cana-1706	413	36	,	,	PUNCT
cana-1706	413	37	resources	resource	NOUN
cana-1706	413	38	handling	handling	NOUN
cana-1706	413	39	.	.	PUNCT
cana-1706	414	1	these	these	DET
cana-1706	414	2	tables	table	NOUN
cana-1706	414	3	from	from	ADP
cana-1706	414	4	our	our	PRON
cana-1706	414	5	research	research	NOUN
cana-1706	414	6	highlight	highlight	VERB
cana-1706	414	7	just	just	ADV
cana-1706	414	8	how	how	SCONJ
cana-1706	414	9	superior	superior	ADJ
cana-1706	414	10	the	the	DET
cana-1706	414	11	hybrid	hybrid	ADJ
cana-1706	414	12	solution	solution	NOUN
cana-1706	414	13	is	be	AUX
cana-1706	414	14	compared	compare	VERB
cana-1706	414	15	to	to	ADP
cana-1706	414	16	legacy	legacy	NOUN
cana-1706	414	17	cybersecurity	cybersecurity	NOUN
cana-1706	414	18	.	.	PUNCT
cana-1706	415	1	for	for	ADP
cana-1706	415	2	example	example	NOUN
cana-1706	415	3	,	,	PUNCT
cana-1706	415	4	the	the	DET
cana-1706	415	5	detection	detection	NOUN
cana-1706	415	6	accuracy	accuracy	NOUN
cana-1706	415	7	of	of	ADP
cana-1706	415	8	the	the	DET
cana-1706	415	9	hybrid	hybrid	NOUN
cana-1706	415	10	model	model	NOUN
cana-1706	415	11	is	be	AUX
cana-1706	415	12	94.1	94.1	NUM
cana-1706	415	13	%	%	NOUN
cana-1706	415	14	whereas	whereas	SCONJ
cana-1706	415	15	those	those	PRON
cana-1706	415	16	from	from	ADP
cana-1706	415	17	rule	rule	NOUN
cana-1706	415	18	based	base	VERB
cana-1706	415	19	ids	id	NOUN
cana-1706	415	20	and	and	CCONJ
cana-1706	415	21	signaturebased	signaturebased	ADJ
cana-1706	415	22	models	model	NOUN
cana-1706	415	23	are	be	AUX
cana-1706	415	24	75.0	75.0	NUM
cana-1706	415	25	%	%	NOUN
cana-1706	415	26	and	and	CCONJ
cana-1706	415	27	80.0	80.0	NUM
cana-1706	415	28	%	%	NOUN
cana-1706	415	29	,	,	PUNCT
cana-1706	415	30	respectively	respectively	ADV
cana-1706	415	31	[	[	X
cana-1706	415	32	8	8	NUM
cana-1706	415	33	]	]	PUNCT
cana-1706	415	34	.	.	PUNCT
cana-1706	416	1	additionally	additionally	ADV
cana-1706	416	2	,	,	PUNCT
cana-1706	416	3	the	the	DET
cana-1706	416	4	hybrid	hybrid	NOUN
cana-1706	416	5	model	model	NOUN
cana-1706	416	6	is	be	AUX
cana-1706	416	7	associated	associate	VERB
cana-1706	416	8	with	with	ADP
cana-1706	416	9	a	a	DET
cana-1706	416	10	false	false	ADJ
cana-1706	416	11	positive	positive	ADJ
cana-1706	416	12	rate	rate	NOUN
cana-1706	416	13	of	of	ADP
cana-1706	416	14	at	at	ADP
cana-1706	416	15	most	most	ADV
cana-1706	416	16	1.9	1.9	NUM
cana-1706	416	17	%	%	NOUN
cana-1706	416	18	,	,	PUNCT
cana-1706	416	19	whereas	whereas	SCONJ
cana-1706	416	20	the	the	DET
cana-1706	416	21	corresponding	correspond	VERB
cana-1706	416	22	rates	rate	NOUN
cana-1706	416	23	communications	communication	NOUN
cana-1706	416	24	on	on	ADP
cana-1706	416	25	applied	apply	VERB
cana-1706	416	26	nonlinear	nonlinear	ADJ
cana-1706	416	27	analysis	analysis	NOUN
cana-1706	416	28	issn	issn	NOUN
cana-1706	416	29	:	:	PUNCT
cana-1706	416	30	1074	1074	NUM
cana-1706	416	31	-	-	PUNCT
cana-1706	416	32	133x	133x	NUM
cana-1706	416	33	vol	vol	NOUN
cana-1706	416	34	32	32	NUM
cana-1706	416	35	no	no	NOUN
cana-1706	416	36	.	.	NOUN
cana-1706	416	37	2	2	NUM
cana-1706	416	38	(	(	PUNCT
cana-1706	416	39	2025	2025	NUM
cana-1706	416	40	)	)	PUNCT
cana-1706	416	41	50	50	NUM
cana-1706	416	42	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	416	43	for	for	ADP
cana-1706	416	44	those	those	DET
cana-1706	416	45	other	other	ADJ
cana-1706	416	46	two	two	NUM
cana-1706	416	47	models	model	NOUN
cana-1706	416	48	is	be	AUX
cana-1706	416	49	8.0	8.0	NUM
cana-1706	416	50	%	%	NOUN
cana-1706	416	51	&	&	CCONJ
cana-1706	416	52	6.0	6.0	NUM
cana-1706	416	53	%	%	NOUN
cana-1706	416	54	.	.	PUNCT
cana-1706	417	1	this	this	DET
cana-1706	417	2	significant	significant	ADJ
cana-1706	417	3	improvement	improvement	NOUN
cana-1706	417	4	is	be	AUX
cana-1706	417	5	testament	testament	NOUN
cana-1706	417	6	to	to	ADP
cana-1706	417	7	machine	machine	NOUN
cana-1706	417	8	learning	learning	NOUN
cana-1706	417	9	models	model	NOUN
cana-1706	417	10	that	that	PRON
cana-1706	417	11	could	could	AUX
cana-1706	417	12	possibly	possibly	ADV
cana-1706	417	13	rectify	rectify	VERB
cana-1706	417	14	the	the	DET
cana-1706	417	15	inadequacies	inadequacy	NOUN
cana-1706	417	16	related	relate	VERB
cana-1706	417	17	to	to	ADP
cana-1706	417	18	current	current	ADJ
cana-1706	417	19	cybersecurity	cybersecurity	NOUN
cana-1706	417	20	methods	method	NOUN
cana-1706	417	21	.	.	PUNCT
cana-1706	418	1	one	one	NUM
cana-1706	418	2	of	of	ADP
cana-1706	418	3	the	the	DET
cana-1706	418	4	key	key	ADJ
cana-1706	418	5	advantages	advantage	NOUN
cana-1706	418	6	of	of	ADP
cana-1706	418	7	the	the	DET
cana-1706	418	8	hybrid	hybrid	ADJ
cana-1706	418	9	model	model	NOUN
cana-1706	418	10	is	be	AUX
cana-1706	418	11	its	its	PRON
cana-1706	418	12	ability	ability	NOUN
cana-1706	418	13	to	to	PART
cana-1706	418	14	detect	detect	VERB
cana-1706	418	15	zero	zero	NUM
cana-1706	418	16	-	-	PUNCT
cana-1706	418	17	day	day	NOUN
cana-1706	418	18	attacks	attack	NOUN
cana-1706	418	19	,	,	PUNCT
cana-1706	418	20	which	which	PRON
cana-1706	418	21	usually	usually	ADV
cana-1706	418	22	are	be	AUX
cana-1706	418	23	missed	miss	VERB
cana-1706	418	24	by	by	ADP
cana-1706	418	25	rule	rule	NOUN
cana-1706	418	26	and	and	CCONJ
cana-1706	418	27	signature	signature	NOUN
cana-1706	418	28	-	-	PUNCT
cana-1706	418	29	based	base	VERB
cana-1706	418	30	models	model	NOUN
cana-1706	418	31	.	.	PUNCT
cana-1706	419	1	zero	zero	NUM
cana-1706	419	2	-	-	PUNCT
cana-1706	419	3	day	day	NOUN
cana-1706	419	4	vulnerabilities	vulnerability	NOUN
cana-1706	419	5	,	,	PUNCT
cana-1706	419	6	on	on	ADP
cana-1706	419	7	the	the	DET
cana-1706	419	8	other	other	ADJ
cana-1706	419	9	hand	hand	NOUN
cana-1706	419	10	,	,	PUNCT
cana-1706	419	11	represent	represent	VERB
cana-1706	419	12	security	security	NOUN
cana-1706	419	13	holes	hole	NOUN
cana-1706	419	14	that	that	PRON
cana-1706	419	15	are	be	AUX
cana-1706	419	16	completely	completely	ADV
cana-1706	419	17	unknown	unknown	ADJ
cana-1706	419	18	to	to	ADP
cana-1706	419	19	security	security	NOUN
cana-1706	419	20	professionals	professional	NOUN
cana-1706	419	21	and	and	CCONJ
cana-1706	419	22	thus	thus	ADV
cana-1706	419	23	virtually	virtually	ADV
cana-1706	419	24	impossible	impossible	ADJ
cana-1706	419	25	to	to	PART
cana-1706	419	26	protect	protect	VERB
cana-1706	419	27	against	against	ADP
cana-1706	419	28	.	.	PUNCT
cana-1706	420	1	by	by	ADP
cana-1706	420	2	weaning	wean	VERB
cana-1706	420	3	off	off	ADP
cana-1706	420	4	the	the	DET
cana-1706	420	5	baselines	baseline	NOUN
cana-1706	420	6	which	which	PRON
cana-1706	420	7	attackers	attacker	NOUN
cana-1706	420	8	target	target	VERB
cana-1706	420	9	to	to	PART
cana-1706	420	10	avoid	avoid	VERB
cana-1706	420	11	detection	detection	NOUN
cana-1706	420	12	,	,	PUNCT
cana-1706	420	13	the	the	DET
cana-1706	420	14	hybrid	hybrid	NOUN
cana-1706	420	15	model	model	NOUN
cana-1706	420	16	is	be	AUX
cana-1706	420	17	very	very	ADV
cana-1706	420	18	effective	effective	ADJ
cana-1706	420	19	in	in	ADP
cana-1706	420	20	detecting	detect	VERB
cana-1706	420	21	such	such	ADJ
cana-1706	420	22	attacks	attack	NOUN
cana-1706	420	23	appropriately	appropriately	ADV
cana-1706	420	24	and	and	CCONJ
cana-1706	420	25	this	this	PRON
cana-1706	420	26	makes	make	VERB
cana-1706	420	27	it	it	PRON
cana-1706	420	28	an	an	DET
cana-1706	420	29	important	important	ADJ
cana-1706	420	30	security	security	NOUN
cana-1706	420	31	feature	feature	NOUN
cana-1706	420	32	of	of	ADP
cana-1706	420	33	the	the	DET
cana-1706	420	34	iot	iot	PROPN
cana-1706	420	35	networks	network	NOUN
cana-1706	420	36	.	.	PUNCT
cana-1706	421	1	this	this	PRON
cana-1706	421	2	is	be	AUX
cana-1706	421	3	accompanied	accompany	VERB
cana-1706	421	4	by	by	ADP
cana-1706	421	5	model	model	NOUN
cana-1706	421	6	adaptability	adaptability	NOUN
cana-1706	421	7	ranking	rank	VERB
cana-1706	421	8	highest	high	ADJ
cana-1706	421	9	and	and	CCONJ
cana-1706	421	10	unsupervised	unsupervised	ADJ
cana-1706	421	11	models	model	NOUN
cana-1706	421	12	to	to	ADP
cana-1706	421	13	medium	medium	NOUN
cana-1706	421	14	(	(	PUNCT
cana-1706	421	15	while	while	SCONJ
cana-1706	421	16	supervised	supervised	ADJ
cana-1706	421	17	models	model	NOUN
cana-1706	421	18	top	top	VERB
cana-1706	421	19	only	only	ADV
cana-1706	421	20	low	low	ADJ
cana-1706	421	21	)	)	PUNCT
cana-1706	421	22	.	.	PUNCT
cana-1706	422	1	this	this	PRON
cana-1706	422	2	indicates	indicate	VERB
cana-1706	422	3	that	that	SCONJ
cana-1706	422	4	the	the	DET
cana-1706	422	5	hybrid	hybrid	NOUN
cana-1706	422	6	model	model	NOUN
cana-1706	422	7	is	be	AUX
cana-1706	422	8	particularly	particularly	ADV
cana-1706	422	9	suitable	suitable	ADJ
cana-1706	422	10	for	for	ADP
cana-1706	422	11	environments	environment	NOUN
cana-1706	422	12	where	where	SCONJ
cana-1706	422	13	new	new	ADJ
cana-1706	422	14	kinds	kind	NOUN
cana-1706	422	15	of	of	ADP
cana-1706	422	16	cyber	cyber	NOUN
cana-1706	422	17	threats	threat	NOUN
cana-1706	422	18	are	be	AUX
cana-1706	422	19	continuously	continuously	ADV
cana-1706	422	20	developing	develop	VERB
cana-1706	422	21	,	,	PUNCT
cana-1706	422	22	a	a	DET
cana-1706	422	23	phenomenon	phenomenon	NOUN
cana-1706	422	24	typical	typical	ADJ
cana-1706	422	25	to	to	ADP
cana-1706	422	26	dynamic	dynamic	ADJ
cana-1706	422	27	environments	environment	NOUN
cana-1706	422	28	.	.	PUNCT
cana-1706	423	1	ga	ga	PROPN
cana-1706	423	2	and	and	CCONJ
cana-1706	423	3	pso	pso	NOUN
cana-1706	423	4	are	be	AUX
cana-1706	423	5	important	important	ADJ
cana-1706	423	6	to	to	PART
cana-1706	423	7	optimize	optimize	VERB
cana-1706	423	8	the	the	DET
cana-1706	423	9	ml	ml	NOUN
cana-1706	423	10	-	-	PUNCT
cana-1706	423	11	based	base	VERB
cana-1706	423	12	anomaly	anomaly	NOUN
cana-1706	423	13	detection	detection	NOUN
cana-1706	423	14	system	system	NOUN
cana-1706	423	15	.	.	PUNCT
cana-1706	424	1	table	table	NOUN
cana-1706	424	2	5	5	NUM
cana-1706	424	3	gives	give	VERB
cana-1706	424	4	results	result	NOUN
cana-1706	424	5	when	when	SCONJ
cana-1706	424	6	the	the	DET
cana-1706	424	7	ga	ga	PROPN
cana-1706	424	8	is	be	AUX
cana-1706	424	9	applied	apply	VERB
cana-1706	424	10	to	to	PART
cana-1706	424	11	increase	increase	VERB
cana-1706	424	12	accuracy	accuracy	NOUN
cana-1706	424	13	of	of	ADP
cana-1706	424	14	detection	detection	NOUN
cana-1706	424	15	;	;	PUNCT
cana-1706	424	16	it	it	PRON
cana-1706	424	17	is	be	AUX
cana-1706	424	18	clear	clear	ADJ
cana-1706	424	19	that	that	SCONJ
cana-1706	424	20	there	there	PRON
cana-1706	424	21	is	be	VERB
cana-1706	424	22	improvement	improvement	NOUN
cana-1706	424	23	in	in	ADP
cana-1706	424	24	a	a	DET
cana-1706	424	25	level	level	NOUN
cana-1706	424	26	from	from	ADP
cana-1706	424	27	that	that	DET
cana-1706	424	28	application	application	NOUN
cana-1706	424	29	with	with	ADP
cana-1706	424	30	increasing	increase	VERB
cana-1706	424	31	92.7	92.7	NUM
cana-1706	424	32	%	%	NOUN
cana-1706	424	33	increased	increase	VERB
cana-1706	424	34	from	from	ADP
cana-1706	424	35	89.5	89.5	NUM
cana-1706	424	36	%	%	NOUN
cana-1706	424	37	,	,	PUNCT
cana-1706	424	38	and	and	CCONJ
cana-1706	424	39	decrease	decrease	VERB
cana-1706	424	40	false	false	ADJ
cana-1706	424	41	positive	positive	ADJ
cana-1706	424	42	from	from	ADP
cana-1706	424	43	2.3	2.3	NUM
cana-1706	424	44	%	%	NOUN
cana-1706	424	45	into	into	ADP
cana-1706	424	46	1.8	1.8	NUM
cana-1706	424	47	%	%	NOUN
cana-1706	424	48	.	.	PUNCT
cana-1706	425	1	with	with	ADP
cana-1706	425	2	pso	pso	NOUN
cana-1706	425	3	,	,	PUNCT
cana-1706	425	4	acc	acc	PROPN
cana-1706	425	5	increases	increase	VERB
cana-1706	425	6	to	to	ADP
cana-1706	425	7	91.8	91.8	NUM
cana-1706	425	8	%	%	NOUN
cana-1706	425	9	,	,	PUNCT
cana-1706	425	10	energy	energy	NOUN
cana-1706	425	11	cost	cost	NOUN
cana-1706	425	12	decreases	decrease	NOUN
cana-1706	425	13	from	from	ADP
cana-1706	425	14	25.8	25.8	NUM
cana-1706	425	15	joules	joule	NOUN
cana-1706	425	16	to	to	ADP
cana-1706	425	17	22.1	22.1	NUM
cana-1706	425	18	joules	joule	NOUN
cana-1706	425	19	and	and	CCONJ
cana-1706	425	20	latency	latency	NOUN
cana-1706	425	21	diminishes	diminish	VERB
cana-1706	425	22	from	from	ADP
cana-1706	425	23	15.4	15.4	NUM
cana-1706	425	24	ms	ms	NOUN
cana-1706	425	25	to13.2ms	to13.2ms	NOUN
cana-1706	425	26	which	which	PRON
cana-1706	425	27	show	show	VERB
cana-1706	425	28	the	the	DET
cana-1706	425	29	capability	capability	NOUN
cana-1706	425	30	of	of	ADP
cana-1706	425	31	applying	apply	VERB
cana-1706	425	32	optimization	optimization	NOUN
cana-1706	425	33	technique	technique	NOUN
cana-1706	425	34	in	in	ADP
cana-1706	425	35	enhancing	enhance	VERB
cana-1706	425	36	detection	detection	NOUN
cana-1706	425	37	accuracy	accuracy	NOUN
cana-1706	425	38	and	and	CCONJ
cana-1706	425	39	efficiency	efficiency	NOUN
cana-1706	425	40	model	model	NOUN
cana-1706	425	41	making	make	VERB
cana-1706	425	42	it	it	PRON
cana-1706	425	43	more	more	ADV
cana-1706	425	44	suitable	suitable	ADJ
cana-1706	425	45	for	for	ADP
cana-1706	425	46	high	high	ADJ
cana-1706	425	47	capacity	capacity	NOUN
cana-1706	425	48	iot	iot	NOUN
cana-1706	425	49	scenarios	scenario	NOUN
cana-1706	425	50	.	.	PUNCT
cana-1706	426	1	in	in	ADP
cana-1706	426	2	the	the	DET
cana-1706	426	3	energy	energy	NOUN
cana-1706	426	4	consumption	consumption	NOUN
cana-1706	426	5	,	,	PUNCT
cana-1706	426	6	compared	compare	VERB
cana-1706	426	7	to	to	ADP
cana-1706	426	8	supervised	supervised	ADJ
cana-1706	426	9	learning	learning	NOUN
cana-1706	426	10	models	model	NOUN
cana-1706	426	11	,	,	PUNCT
cana-1706	426	12	estimated	estimate	VERB
cana-1706	426	13	energy	energy	NOUN
cana-1706	426	14	cost	cost	NOUN
cana-1706	426	15	of	of	ADP
cana-1706	426	16	hybrid	hybrid	ADJ
cana-1706	426	17	model	model	NOUN
cana-1706	426	18	with	with	ADP
cana-1706	426	19	pso	pso	NOUN
cana-1706	426	20	22.1j	22.1j	NUM
cana-1706	426	21	while	while	SCONJ
cana-1706	426	22	for	for	ADP
cana-1706	426	23	supervised	supervised	ADJ
cana-1706	426	24	learning	learning	NOUN
cana-1706	426	25	models	model	NOUN
cana-1706	426	26	correlated	correlate	VERB
cana-1706	426	27	25.8j	25.8j	NUM
cana-1706	426	28	.	.	PUNCT
cana-1706	427	1	it	it	PRON
cana-1706	427	2	is	be	AUX
cana-1706	427	3	especially	especially	ADV
cana-1706	427	4	relevant	relevant	ADJ
cana-1706	427	5	in	in	ADP
cana-1706	427	6	iot	iot	PROPN
cana-1706	427	7	networks	network	NOUN
cana-1706	427	8	,	,	PUNCT
cana-1706	427	9	since	since	SCONJ
cana-1706	427	10	these	these	DET
cana-1706	427	11	devices	device	NOUN
cana-1706	427	12	are	be	AUX
cana-1706	427	13	commonly	commonly	ADV
cana-1706	427	14	battery	battery	NOUN
cana-1706	427	15	operated	operate	VERB
cana-1706	427	16	and	and	CCONJ
cana-1706	427	17	therefore	therefore	ADV
cana-1706	427	18	must	must	AUX
cana-1706	427	19	manage	manage	VERB
cana-1706	427	20	energy	energy	NOUN
cana-1706	427	21	consumption	consumption	NOUN
cana-1706	427	22	to	to	PART
cana-1706	427	23	maintain	maintain	VERB
cana-1706	427	24	functionality	functionality	NOUN
cana-1706	427	25	over	over	ADP
cana-1706	427	26	time	time	NOUN
cana-1706	427	27	.	.	PUNCT
cana-1706	428	1	moreover	moreover	ADV
cana-1706	428	2	,	,	PUNCT
cana-1706	428	3	it	it	PRON
cana-1706	428	4	has	have	VERB
cana-1706	428	5	a	a	DET
cana-1706	428	6	model	model	NOUN
cana-1706	428	7	hybrid	hybrid	NOUN
cana-1706	428	8	scalable	scalable	ADJ
cana-1706	428	9	and	and	CCONJ
cana-1706	428	10	can	can	AUX
cana-1706	428	11	adapt	adapt	VERB
cana-1706	428	12	moderately	moderately	ADV
cana-1706	428	13	to	to	ADP
cana-1706	428	14	the	the	DET
cana-1706	428	15	very	very	ADV
cana-1706	428	16	high	high	ADJ
cana-1706	428	17	number	number	NOUN
cana-1706	428	18	of	of	ADP
cana-1706	428	19	sensor	sensor	NOUN
cana-1706	428	20	devices	device	NOUN
cana-1706	428	21	and	and	CCONJ
cana-1706	428	22	data	datum	NOUN
cana-1706	428	23	that	that	PRON
cana-1706	428	24	iot	iot	PROPN
cana-1706	428	25	bring	bring	VERB
cana-1706	428	26	with	with	ADP
cana-1706	428	27	.	.	PUNCT
cana-1706	429	1	this	this	PRON
cana-1706	429	2	stands	stand	VERB
cana-1706	429	3	in	in	ADP
cana-1706	429	4	opposition	opposition	NOUN
cana-1706	429	5	to	to	ADP
cana-1706	429	6	the	the	DET
cana-1706	429	7	middle	middle	ADJ
cana-1706	429	8	-	-	PUNCT
cana-1706	429	9	of	of	ADP
cana-1706	429	10	-	-	PUNCT
cana-1706	429	11	the	the	DET
cana-1706	429	12	-	-	PUNCT
cana-1706	429	13	road	road	NOUN
cana-1706	429	14	scalability	scalability	NOUN
cana-1706	429	15	exerted	exert	VERB
cana-1706	429	16	by	by	ADP
cana-1706	429	17	supervised	supervised	ADJ
cana-1706	429	18	learning	learning	NOUN
cana-1706	429	19	models	model	NOUN
cana-1706	429	20	.	.	PUNCT
cana-1706	430	1	further	far	ADV
cana-1706	430	2	,	,	PUNCT
cana-1706	430	3	the	the	DET
cana-1706	430	4	feedback	feedback	NOUN
cana-1706	430	5	and	and	CCONJ
cana-1706	430	6	continuous	continuous	ADJ
cana-1706	430	7	learning	learning	NOUN
cana-1706	430	8	nature	nature	NOUN
cana-1706	430	9	of	of	ADP
cana-1706	430	10	hybrid	hybrid	NOUN
cana-1706	430	11	model	model	NOUN
cana-1706	430	12	is	be	AUX
cana-1706	430	13	another	another	DET
cana-1706	430	14	strong	strong	ADJ
cana-1706	430	15	suit	suit	NOUN
cana-1706	430	16	that	that	PRON
cana-1706	430	17	can	can	AUX
cana-1706	430	18	be	be	AUX
cana-1706	430	19	seen	see	VERB
cana-1706	430	20	in	in	ADP
cana-1706	430	21	the	the	DET
cana-1706	430	22	results	result	NOUN
cana-1706	430	23	there	there	PRON
cana-1706	430	24	have	have	AUX
cana-1706	430	25	been	be	AUX
cana-1706	430	26	consistent	consistent	ADJ
cana-1706	430	27	growth	growth	NOUN
cana-1706	430	28	in	in	ADP
cana-1706	430	29	detection	detection	NOUN
cana-1706	430	30	accuracy	accuracy	NOUN
cana-1706	430	31	with	with	ADP
cana-1706	430	32	increase	increase	NOUN
cana-1706	430	33	in	in	ADP
cana-1706	430	34	iterations	iteration	NOUN
cana-1706	430	35	.	.	PUNCT
cana-1706	431	1	table	table	NOUN
cana-1706	431	2	12	12	NUM
cana-1706	431	3	illustrates	illustrate	VERB
cana-1706	431	4	that	that	SCONJ
cana-1706	431	5	with	with	ADP
cana-1706	431	6	every	every	DET
cana-1706	431	7	iteration	iteration	NOUN
cana-1706	431	8	detection	detection	NOUN
cana-1706	431	9	accuracy	accuracy	NOUN
cana-1706	431	10	increases	increase	NOUN
cana-1706	431	11	(	(	PUNCT
cana-1706	431	12	to	to	ADP
cana-1706	431	13	94.1	94.1	NUM
cana-1706	431	14	%	%	NOUN
cana-1706	431	15	after	after	ADP
cana-1706	431	16	100	100	NUM
cana-1706	431	17	iterations	iteration	NOUN
cana-1706	431	18	,	,	PUNCT
cana-1706	431	19	as	as	SCONJ
cana-1706	431	20	opposed	oppose	VERB
cana-1706	431	21	to	to	ADP
cana-1706	431	22	the	the	DET
cana-1706	431	23	’	’	NUM
cana-1706	431	24	85	85	NUM
cana-1706	431	25	times	time	NOUN
cana-1706	431	26	’	'	PUNCT
cana-1706	431	27	at	at	ADP
cana-1706	431	28	the	the	DET
cana-1706	431	29	first	first	ADJ
cana-1706	431	30	attempt	attempt	NOUN
cana-1706	431	31	)	)	PUNCT
cana-1706	431	32	.	.	PUNCT
cana-1706	432	1	this	this	DET
cana-1706	432	2	clear	clear	ADJ
cana-1706	432	3	improvement	improvement	NOUN
cana-1706	432	4	in	in	ADP
cana-1706	432	5	performance	performance	NOUN
cana-1706	432	6	shows	show	VERB
cana-1706	432	7	that	that	SCONJ
cana-1706	432	8	the	the	DET
cana-1706	432	9	model	model	NOUN
cana-1706	432	10	is	be	AUX
cana-1706	432	11	able	able	ADJ
cana-1706	432	12	to	to	PART
cana-1706	432	13	adapt	adapt	VERB
cana-1706	432	14	and	and	CCONJ
cana-1706	432	15	learn	learn	VERB
cana-1706	432	16	from	from	ADP
cana-1706	432	17	new	new	ADJ
cana-1706	432	18	data	datum	NOUN
cana-1706	432	19	,	,	PUNCT
cana-1706	432	20	which	which	PRON
cana-1706	432	21	will	will	AUX
cana-1706	432	22	be	be	AUX
cana-1706	432	23	crucial	crucial	ADJ
cana-1706	432	24	for	for	ADP
cana-1706	432	25	keeping	keep	VERB
cana-1706	432	26	security	security	NOUN
cana-1706	432	27	up	up	ADP
cana-1706	432	28	to	to	ADP
cana-1706	432	29	date	date	NOUN
cana-1706	432	30	as	as	SCONJ
cana-1706	432	31	the	the	DET
cana-1706	432	32	iot	iot	PROPN
cana-1706	432	33	landscape	landscape	NOUN
cana-1706	432	34	evolves	evolve	VERB
cana-1706	432	35	.	.	PUNCT
cana-1706	433	1	while	while	SCONJ
cana-1706	433	2	that	that	DET
cana-1706	433	3	process	process	NOUN
cana-1706	433	4	offers	offer	VERB
cana-1706	433	5	many	many	ADJ
cana-1706	433	6	of	of	ADP
cana-1706	433	7	the	the	DET
cana-1706	433	8	benefits	benefit	NOUN
cana-1706	433	9	of	of	ADP
cana-1706	433	10	the	the	DET
cana-1706	433	11	model	model	NOUN
cana-1706	433	12	described	describe	VERB
cana-1706	433	13	,	,	PUNCT
cana-1706	433	14	it	it	PRON
cana-1706	433	15	still	still	ADV
cana-1706	433	16	ultimately	ultimately	ADV
cana-1706	433	17	leaves	leave	VERB
cana-1706	433	18	problems	problem	NOUN
cana-1706	433	19	unaddressed	unaddresse	VERB
cana-1706	433	20	.	.	PUNCT
cana-1706	434	1	one	one	NUM
cana-1706	434	2	of	of	ADP
cana-1706	434	3	these	these	DET
cana-1706	434	4	challenges	challenge	NOUN
cana-1706	434	5	is	be	AUX
cana-1706	434	6	the	the	DET
cana-1706	434	7	measurement	measurement	NOUN
cana-1706	434	8	overhead	overhead	ADV
cana-1706	434	9	while	while	SCONJ
cana-1706	434	10	applying	apply	VERB
cana-1706	434	11	machinelearning	machinelearning	NOUN
cana-1706	434	12	-	-	PUNCT
cana-1706	434	13	based	base	VERB
cana-1706	434	14	anomaly	anomaly	NOUN
cana-1706	434	15	detection	detection	NOUN
cana-1706	434	16	in	in	ADP
cana-1706	434	17	resource	resource	NOUN
cana-1706	434	18	-	-	PUNCT
cana-1706	434	19	constrained	constrain	VERB
cana-1706	434	20	iot	iot	NOUN
cana-1706	434	21	environment	environment	NOUN
cana-1706	434	22	.	.	PUNCT
cana-1706	435	1	though	though	SCONJ
cana-1706	435	2	the	the	DET
cana-1706	435	3	model	model	NOUN
cana-1706	435	4	has	have	AUX
cana-1706	435	5	demonstrated	demonstrate	VERB
cana-1706	435	6	gains	gain	NOUN
cana-1706	435	7	in	in	ADP
cana-1706	435	8	terms	term	NOUN
cana-1706	435	9	of	of	ADP
cana-1706	435	10	energy	energy	NOUN
cana-1706	435	11	efficiency	efficiency	NOUN
cana-1706	435	12	and	and	CCONJ
cana-1706	435	13	latency	latency	NOUN
cana-1706	435	14	,	,	PUNCT
cana-1706	435	15	much	much	ADV
cana-1706	435	16	more	more	ADJ
cana-1706	435	17	needs	need	NOUN
cana-1706	435	18	to	to	PART
cana-1706	435	19	be	be	AUX
cana-1706	435	20	done	do	VERB
cana-1706	435	21	to	to	PART
cana-1706	435	22	decrease	decrease	VERB
cana-1706	435	23	the	the	DET
cana-1706	435	24	computational	computational	ADJ
cana-1706	435	25	overhead	overhead	NOUN
cana-1706	435	26	so	so	SCONJ
cana-1706	435	27	as	as	SCONJ
cana-1706	435	28	to	to	PART
cana-1706	435	29	make	make	VERB
cana-1706	435	30	it	it	PRON
cana-1706	435	31	work	work	VERB
cana-1706	435	32	on	on	ADP
cana-1706	435	33	low	low	ADJ
cana-1706	435	34	-	-	PUNCT
cana-1706	435	35	power	power	NOUN
cana-1706	435	36	devices	device	NOUN
cana-1706	435	37	that	that	PRON
cana-1706	435	38	are	be	AUX
cana-1706	435	39	usually	usually	ADV
cana-1706	435	40	present	present	ADJ
cana-1706	435	41	in	in	ADP
cana-1706	435	42	iot	iot	ADJ
cana-1706	435	43	networks	network	NOUN
cana-1706	435	44	.	.	PUNCT
cana-1706	436	1	another	another	DET
cana-1706	436	2	challenge	challenge	NOUN
cana-1706	436	3	is	be	AUX
cana-1706	436	4	the	the	DET
cana-1706	436	5	model	model	NOUN
cana-1706	436	6	's	's	PART
cana-1706	436	7	scalability	scalability	NOUN
cana-1706	436	8	in	in	ADP
cana-1706	436	9	large	large	ADJ
cana-1706	436	10	iot	iot	NOUN
cana-1706	436	11	ecosystems	ecosystem	NOUN
cana-1706	436	12	,	,	PUNCT
cana-1706	436	13	where	where	SCONJ
cana-1706	436	14	handling	handle	VERB
cana-1706	436	15	extensive	extensive	ADJ
cana-1706	436	16	data	datum	NOUN
cana-1706	436	17	records	record	NOUN
cana-1706	436	18	from	from	ADP
cana-1706	436	19	iot	iot	PROPN
cana-1706	436	20	devices	device	NOUN
cana-1706	436	21	proves	prove	VERB
cana-1706	436	22	to	to	PART
cana-1706	436	23	be	be	AUX
cana-1706	436	24	challenging	challenge	VERB
cana-1706	436	25	.	.	PUNCT
cana-1706	437	1	while	while	SCONJ
cana-1706	437	2	the	the	DET
cana-1706	437	3	results	result	NOUN
cana-1706	437	4	suggest	suggest	VERB
cana-1706	437	5	that	that	SCONJ
cana-1706	437	6	the	the	DET
cana-1706	437	7	hybrid	hybrid	NOUN
cana-1706	437	8	model	model	NOUN
cana-1706	437	9	is	be	AUX
cana-1706	437	10	scalable	scalable	ADJ
cana-1706	437	11	to	to	ADP
cana-1706	437	12	a	a	DET
cana-1706	437	13	high	high	ADJ
cana-1706	437	14	-	-	PUNCT
cana-1706	437	15	level	level	NOUN
cana-1706	437	16	,	,	PUNCT
cana-1706	437	17	there	there	PRON
cana-1706	437	18	is	be	VERB
cana-1706	437	19	scope	scope	NOUN
cana-1706	437	20	to	to	PART
cana-1706	437	21	further	far	ADV
cana-1706	437	22	optimize	optimize	VERB
cana-1706	437	23	it	it	PRON
cana-1706	437	24	for	for	ADP
cana-1706	437	25	even	even	ADV
cana-1706	437	26	larger	large	ADJ
cana-1706	437	27	-	-	PUNCT
cana-1706	437	28	scale	scale	NOUN
cana-1706	437	29	applications	application	NOUN
cana-1706	437	30	of	of	ADP
cana-1706	437	31	secure	secure	ADJ
cana-1706	437	32	resource	resource	NOUN
cana-1706	437	33	management	management	NOUN
cana-1706	437	34	at	at	ADP
cana-1706	437	35	smart	smart	ADJ
cana-1706	437	36	scale	scale	NOUN
cana-1706	437	37	&	&	CCONJ
cana-1706	437	38	industrial	industrial	ADJ
cana-1706	437	39	iot	iot	PROPN
cana-1706	437	40	(	(	PUNCT
cana-1706	437	41	iiot	iiot	NOUN
cana-1706	437	42	)	)	PUNCT
cana-1706	437	43	levels	level	NOUN
cana-1706	437	44	.	.	PUNCT
cana-1706	438	1	in	in	ADP
cana-1706	438	2	this	this	DET
cana-1706	438	3	case	case	NOUN
cana-1706	438	4	,	,	PUNCT
cana-1706	438	5	quite	quite	DET
cana-1706	438	6	a	a	DET
cana-1706	438	7	lot	lot	NOUN
cana-1706	438	8	of	of	ADP
cana-1706	438	9	data	datum	NOUN
cana-1706	438	10	is	be	AUX
cana-1706	438	11	communications	communication	NOUN
cana-1706	438	12	on	on	ADP
cana-1706	438	13	applied	apply	VERB
cana-1706	438	14	nonlinear	nonlinear	ADJ
cana-1706	438	15	analysis	analysis	NOUN
cana-1706	438	16	issn	issn	NOUN
cana-1706	438	17	:	:	PUNCT
cana-1706	438	18	1074	1074	NUM
cana-1706	438	19	-	-	PUNCT
cana-1706	438	20	133x	133x	NUM
cana-1706	438	21	vol	vol	NOUN
cana-1706	438	22	32	32	NUM
cana-1706	438	23	no	no	NOUN
cana-1706	438	24	.	.	NOUN
cana-1706	438	25	2	2	NUM
cana-1706	438	26	(	(	PUNCT
cana-1706	438	27	2025	2025	NUM
cana-1706	438	28	)	)	PUNCT
cana-1706	438	29	51	51	NUM
cana-1706	438	30	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1706	438	31	obtained	obtain	VERB
cana-1706	438	32	and	and	CCONJ
cana-1706	438	33	the	the	DET
cana-1706	438	34	model	model	NOUN
cana-1706	438	35	should	should	AUX
cana-1706	438	36	be	be	AUX
cana-1706	438	37	able	able	ADJ
cana-1706	438	38	to	to	PART
cana-1706	438	39	process	process	VERB
cana-1706	438	40	the	the	DET
cana-1706	438	41	data	datum	NOUN
cana-1706	438	42	efficiently	efficiently	ADV
cana-1706	438	43	without	without	ADP
cana-1706	438	44	spending	spend	VERB
cana-1706	438	45	enough	enough	ADJ
cana-1706	438	46	time	time	NOUN
cana-1706	438	47	or	or	CCONJ
cana-1706	438	48	in	in	ADP
cana-1706	438	49	other	other	ADJ
cana-1706	438	50	terms	term	NOUN
cana-1706	438	51	....	....	PUNCT
cana-1706	438	52	to	to	PART
cana-1706	438	53	detect	detect	VERB
cana-1706	438	54	and	and	CCONJ
cana-1706	438	55	respond	respond	VERB
cana-1706	438	56	accurately	accurately	ADV
cana-1706	438	57	within	within	ADP
cana-1706	438	58	the	the	DET
cana-1706	438	59	possible	possible	ADJ
cana-1706	438	60	shortest	short	ADJ
cana-1706	438	61	time	time	NOUN
cana-1706	438	62	.	.	PUNCT
cana-1706	439	1	thus	thus	ADV
cana-1706	439	2	,	,	PUNCT
cana-1706	439	3	the	the	DET
cana-1706	439	4	mathematical	mathematical	ADJ
cana-1706	439	5	model	model	NOUN
cana-1706	439	6	developed	develop	VERB
cana-1706	439	7	for	for	ADP
cana-1706	439	8	increasing	increase	VERB
cana-1706	439	9	cybersecurity	cybersecurity	NOUN
cana-1706	439	10	in	in	ADP
cana-1706	439	11	iot	iot	PROPN
cana-1706	439	12	networks	network	NOUN
cana-1706	439	13	employing	employ	VERB
cana-1706	439	14	anomaly	anomaly	NOUN
cana-1706	439	15	detection	detection	NOUN
cana-1706	439	16	and	and	CCONJ
cana-1706	439	17	optimization	optimization	NOUN
cana-1706	439	18	techniques	technique	NOUN
cana-1706	439	19	based	base	VERB
cana-1706	439	20	on	on	ADP
cana-1706	439	21	ml	ml	PROPN
cana-1706	439	22	is	be	AUX
cana-1706	439	23	a	a	DET
cana-1706	439	24	considerable	considerable	ADJ
cana-1706	439	25	solution	solution	NOUN
cana-1706	439	26	with	with	ADP
cana-1706	439	27	respect	respect	NOUN
cana-1706	439	28	to	to	ADP
cana-1706	439	29	the	the	DET
cana-1706	439	30	shortcomings	shortcoming	NOUN
cana-1706	439	31	of	of	ADP
cana-1706	439	32	classical	classical	ADJ
cana-1706	439	33	cybersecurity	cybersecurity	NOUN
cana-1706	439	34	methods	method	NOUN
cana-1706	439	35	if	if	SCONJ
cana-1706	439	36	we	we	PRON
cana-1706	439	37	conclude	conclude	VERB
cana-1706	439	38	.	.	PUNCT
cana-1706	440	1	these	these	PRON
cana-1706	440	2	include	include	VERB
cana-1706	440	3	a	a	DET
cana-1706	440	4	hybrid	hybrid	ADJ
cana-1706	440	5	learning	learning	NOUN
cana-1706	440	6	approach	approach	NOUN
cana-1706	440	7	that	that	PRON
cana-1706	440	8	leverages	leverage	VERB
cana-1706	440	9	the	the	DET
cana-1706	440	10	strengths	strength	NOUN
cana-1706	440	11	of	of	ADP
cana-1706	440	12	supervised	supervised	ADJ
cana-1706	440	13	learning	learning	NOUN
cana-1706	440	14	and	and	CCONJ
cana-1706	440	15	unsupervised	unsupervised	ADJ
cana-1706	440	16	learning	learning	NOUN
cana-1706	440	17	,	,	PUNCT
cana-1706	440	18	as	as	ADV
cana-1706	440	19	well	well	ADV
cana-1706	440	20	as	as	ADP
cana-1706	440	21	optimization	optimization	NOUN
cana-1706	440	22	algorithms	algorithm	NOUN
cana-1706	440	23	which	which	PRON
cana-1706	440	24	can	can	AUX
cana-1706	440	25	combine	combine	VERB
cana-1706	440	26	high	high	ADJ
cana-1706	440	27	levels	level	NOUN
cana-1706	440	28	of	of	ADP
cana-1706	440	29	detection	detection	NOUN
cana-1706	440	30	accuracy	accuracy	NOUN
cana-1706	440	31	,	,	PUNCT
cana-1706	440	32	low	low	ADJ
cana-1706	440	33	false	false	ADJ
cana-1706	440	34	positive	positive	ADJ
cana-1706	440	35	rates	rate	NOUN
cana-1706	440	36	,	,	PUNCT
cana-1706	440	37	energy	energy	NOUN
cana-1706	440	38	efficiency	efficiency	NOUN
cana-1706	440	39	,	,	PUNCT
cana-1706	440	40	scalability	scalability	NOUN
cana-1706	440	41	,	,	PUNCT
cana-1706	440	42	and	and	CCONJ
cana-1706	440	43	support	support	NOUN
cana-1706	440	44	for	for	ADP
cana-1706	440	45	unknown	unknown	ADJ
cana-1706	440	46	threats	threat	NOUN
cana-1706	440	47	.	.	PUNCT
cana-1706	441	1	results	result	NOUN
cana-1706	441	2	of	of	ADP
cana-1706	441	3	this	this	DET
cana-1706	441	4	study	study	NOUN
cana-1706	441	5	prove	prove	VERB
cana-1706	441	6	that	that	SCONJ
cana-1706	441	7	optimization	optimization	NOUN
cana-1706	441	8	techniques	technique	NOUN
cana-1706	441	9	for	for	ADP
cana-1706	441	10	machine	machine	NOUN
cana-1706	441	11	learning	learning	NOUN
cana-1706	441	12	-	-	PUNCT
cana-1706	441	13	based	base	VERB
cana-1706	441	14	intrusion	intrusion	NOUN
cana-1706	441	15	detection	detection	NOUN
cana-1706	441	16	system	system	NOUN
cana-1706	441	17	can	can	AUX
cana-1706	441	18	provide	provide	VERB
cana-1706	441	19	a	a	DET
cana-1706	441	20	reliable	reliable	ADJ
cana-1706	441	21	and	and	CCONJ
cana-1706	441	22	flexible	flexible	ADJ
cana-1706	441	23	cyber	cyber	NOUN
cana-1706	441	24	security	security	NOUN
cana-1706	441	25	solution	solution	NOUN
cana-1706	441	26	for	for	ADP
cana-1706	441	27	future	future	ADJ
cana-1706	441	28	iot	iot	NOUN
cana-1706	441	29	expansion	expansion	NOUN
cana-1706	441	30	.	.	PUNCT
cana-1706	442	1	yet	yet	ADV
cana-1706	442	2	,	,	PUNCT
cana-1706	442	3	more	more	ADJ
cana-1706	442	4	investigation	investigation	NOUN
cana-1706	442	5	is	be	AUX
cana-1706	442	6	desired	desire	VERB
cana-1706	442	7	to	to	PART
cana-1706	442	8	overcome	overcome	VERB
cana-1706	442	9	the	the	DET
cana-1706	442	10	rest	rest	NOUN
cana-1706	442	11	challenges	challenge	NOUN
cana-1706	442	12	of	of	ADP
cana-1706	442	13	measurement	measurement	NOUN
cana-1706	442	14	overhead	overhead	ADV
cana-1706	442	15	,	,	PUNCT
cana-1706	442	16	scalability	scalability	NOUN
cana-1706	442	17	in	in	ADP
cana-1706	442	18	massive	massive	ADJ
cana-1706	442	19	iot	iot	ADJ
cana-1706	442	20	environment	environment	NOUN
cana-1706	442	21	and	and	CCONJ
cana-1706	442	22	resource	resource	NOUN
cana-1706	442	23	constraints	constraint	NOUN
cana-1706	442	24	.	.	PUNCT
cana-1706	443	1	the	the	DET
cana-1706	443	2	expanding	expand	VERB
cana-1706	443	3	and	and	CCONJ
cana-1706	443	4	changing	change	VERB
cana-1706	443	5	nature	nature	NOUN
cana-1706	443	6	of	of	ADP
cana-1706	443	7	iot	iot	PROPN
cana-1706	443	8	networks	network	NOUN
cana-1706	443	9	demands	demand	VERB
cana-1706	443	10	security	security	NOUN
cana-1706	443	11	solutions	solution	NOUN
cana-1706	443	12	that	that	PRON
cana-1706	443	13	grow	grow	VERB
cana-1706	443	14	with	with	ADP
cana-1706	443	15	them	they	PRON
cana-1706	443	16	.	.	PUNCT
cana-1706	444	1	it	it	PRON
cana-1706	444	2	will	will	AUX
cana-1706	444	3	be	be	AUX
cana-1706	444	4	possible	possible	ADJ
cana-1706	444	5	to	to	PART
cana-1706	444	6	create	create	VERB
cana-1706	444	7	a	a	DET
cana-1706	444	8	more	more	ADV
cana-1706	444	9	robust	robust	ADJ
cana-1706	444	10	and	and	CCONJ
cana-1706	444	11	adaptable	adaptable	ADJ
cana-1706	444	12	security	security	NOUN
cana-1706	444	13	framework	framework	NOUN
cana-1706	444	14	that	that	PRON
cana-1706	444	15	is	be	AUX
cana-1706	444	16	responsive	responsive	ADJ
cana-1706	444	17	to	to	ADP
cana-1706	444	18	the	the	DET
cana-1706	444	19	changing	change	VERB
cana-1706	444	20	threat	threat	NOUN
cana-1706	444	21	landscape	landscape	NOUN
cana-1706	444	22	in	in	ADP
cana-1706	444	23	iot	iot	NOUN
cana-1706	444	24	by	by	ADP
cana-1706	444	25	using	use	VERB
cana-1706	444	26	machine	machine	NOUN
cana-1706	444	27	-	-	PUNCT
cana-1706	444	28	learning	learn	VERB
cana-1706	444	29	techniques	technique	NOUN
cana-1706	444	30	combined	combine	VERB
cana-1706	444	31	with	with	ADP
cana-1706	444	32	optimization	optimization	NOUN
cana-1706	444	33	algorithms	algorithm	NOUN
cana-1706	444	34	.	.	PUNCT
cana-1706	445	1	this	this	PRON
cana-1706	445	2	will	will	AUX
cana-1706	445	3	allow	allow	VERB
cana-1706	445	4	future	future	ADJ
cana-1706	445	5	research	research	NOUN
cana-1706	445	6	in	in	ADP
cana-1706	445	7	the	the	DET
cana-1706	445	8	this	this	DET
cana-1706	445	9	domain	domain	NOUN
cana-1706	445	10	to	to	PART
cana-1706	445	11	move	move	VERB
cana-1706	445	12	forward	forward	ADV
cana-1706	445	13	,	,	PUNCT
cana-1706	445	14	to	to	PART
cana-1706	445	15	develop	develop	VERB
cana-1706	445	16	a	a	DET
cana-1706	445	17	highly	highly	ADV
cana-1706	445	18	secured	secured	ADJ
cana-1706	445	19	and	and	CCONJ
cana-1706	445	20	stable	stable	ADJ
cana-1706	445	21	iot	iot	NOUN
cana-1706	445	22	infrastructure	infrastructure	NOUN
cana-1706	445	23	for	for	ADP
cana-1706	445	24	various	various	ADJ
cana-1706	445	25	application	application	NOUN
cana-1706	445	26	areas	area	NOUN
cana-1706	445	27	like	like	ADP
cana-1706	445	28	smart	smart	ADJ
cana-1706	445	29	city	city	NOUN
cana-1706	445	30	,	,	PUNCT
cana-1706	445	31	healthcare	healthcare	PROPN
cana-1706	445	32	.	.	PUNCT
cana-1706	446	1	references	reference	NOUN
cana-1706	446	2	[	[	X
cana-1706	446	3	1	1	NUM
cana-1706	446	4	]	]	X
cana-1706	446	5	alomiri	alomiri	PROPN
cana-1706	446	6	,	,	PUNCT
cana-1706	446	7	abdullah	abdullah	PROPN
cana-1706	446	8	,	,	PUNCT
cana-1706	446	9	shailendra	shailendra	PROPN
cana-1706	446	10	mishra	mishra	PROPN
cana-1706	446	11	,	,	PUNCT
cana-1706	446	12	and	and	CCONJ
cana-1706	446	13	mohammed	mohammed	PROPN
cana-1706	446	14	alshehri	alshehri	PROPN
cana-1706	446	15	.	.	PUNCT
cana-1706	447	1	"	"	PUNCT
cana-1706	447	2	machine	machine	NOUN
cana-1706	447	3	learning	learning	NOUN
cana-1706	447	4	-	-	PUNCT
cana-1706	447	5	based	base	VERB
cana-1706	447	6	security	security	NOUN
cana-1706	447	7	mechanism	mechanism	NOUN
cana-1706	447	8	to	to	PART
cana-1706	447	9	detect	detect	VERB
cana-1706	447	10	and	and	CCONJ
cana-1706	447	11	prevent	prevent	VERB
cana-1706	447	12	cyber	cyber	NOUN
cana-1706	447	13	-	-	PUNCT
cana-1706	447	14	attack	attack	NOUN
cana-1706	447	15	in	in	ADP
cana-1706	447	16	iot	iot	PROPN
cana-1706	447	17	networks	network	NOUN
cana-1706	447	18	.	.	PUNCT
cana-1706	447	19	"	"	PUNCT
cana-1706	448	1	international	international	ADJ
cana-1706	448	2	journal	journal	NOUN
cana-1706	448	3	of	of	ADP
cana-1706	448	4	computing	computing	NOUN
cana-1706	448	5	and	and	CCONJ
cana-1706	448	6	digital	digital	ADJ
cana-1706	448	7	systems	system	NOUN
cana-1706	448	8	16.1	16.1	NUM
cana-1706	448	9	(	(	PUNCT
cana-1706	448	10	2024	2024	NUM
cana-1706	448	11	):	):	PUNCT
cana-1706	448	12	645	645	NUM
cana-1706	448	13	-	-	SYM
cana-1706	448	14	659	659	NUM
cana-1706	448	15	.	.	PUNCT
cana-1706	449	1	[	[	X
cana-1706	449	2	2	2	NUM
cana-1706	449	3	]	]	PUNCT
cana-1706	449	4	nadella	nadella	NOUN
cana-1706	449	5	,	,	PUNCT
cana-1706	449	6	geeta	geeta	PROPN
cana-1706	449	7	sandeep	sandeep	PROPN
cana-1706	449	8	,	,	PUNCT
cana-1706	449	9	and	and	CCONJ
cana-1706	449	10	hari	hari	PROPN
cana-1706	449	11	gonaygunta	gonaygunta	NOUN
cana-1706	449	12	.	.	PUNCT
cana-1706	450	1	"	"	PUNCT
cana-1706	450	2	enhancing	enhance	VERB
cana-1706	450	3	cybersecurity	cybersecurity	NOUN
cana-1706	450	4	with	with	ADP
cana-1706	450	5	artificial	artificial	ADJ
cana-1706	450	6	intelligence	intelligence	NOUN
cana-1706	450	7	:	:	PUNCT
cana-1706	450	8	predictive	predictive	ADJ
cana-1706	450	9	techniques	technique	NOUN
cana-1706	450	10	and	and	CCONJ
cana-1706	450	11	challenges	challenge	NOUN
cana-1706	450	12	in	in	ADP
cana-1706	450	13	the	the	DET
cana-1706	450	14	age	age	NOUN
cana-1706	450	15	of	of	ADP
cana-1706	450	16	iot	iot	NOUN
cana-1706	450	17	.	.	PUNCT
cana-1706	450	18	"	"	PUNCT
cana-1706	451	1	international	international	ADJ
cana-1706	451	2	journal	journal	NOUN
cana-1706	451	3	of	of	ADP
cana-1706	451	4	science	science	NOUN
cana-1706	451	5	and	and	CCONJ
cana-1706	451	6	engineering	engineering	NOUN
cana-1706	451	7	applications	application	NOUN
cana-1706	451	8	13.04	13.04	NUM
cana-1706	451	9	(	(	PUNCT
cana-1706	451	10	2024	2024	NUM
cana-1706	451	11	):	):	PUNCT
cana-1706	451	12	30	30	NUM
cana-1706	451	13	-	-	SYM
cana-1706	451	14	33	33	NUM
cana-1706	451	15	.	.	PUNCT
cana-1706	452	1	[	[	X
cana-1706	452	2	3	3	X
cana-1706	452	3	]	]	X
cana-1706	452	4	el	el	NOUN
cana-1706	452	5	-	-	NOUN
cana-1706	452	6	sofany	sofany	NOUN
cana-1706	452	7	,	,	PUNCT
cana-1706	452	8	hosam	hosam	PROPN
cana-1706	452	9	,	,	PUNCT
cana-1706	452	10	et	et	PROPN
cana-1706	452	11	al	al	PROPN
cana-1706	452	12	.	.	PUNCT
cana-1706	453	1	"	"	PUNCT
cana-1706	453	2	using	use	VERB
cana-1706	453	3	machine	machine	NOUN
cana-1706	453	4	learning	learn	VERB
cana-1706	453	5	algorithms	algorithm	NOUN
cana-1706	453	6	to	to	PART
cana-1706	453	7	enhance	enhance	VERB
cana-1706	453	8	iot	iot	NOUN
cana-1706	453	9	system	system	NOUN
cana-1706	453	10	security	security	NOUN
cana-1706	453	11	.	.	PUNCT
cana-1706	453	12	"	"	PUNCT
cana-1706	454	1	scientific	scientific	ADJ
cana-1706	454	2	reports	report	NOUN
cana-1706	454	3	14.1	14.1	NUM
cana-1706	454	4	(	(	PUNCT
cana-1706	454	5	2024	2024	NUM
cana-1706	454	6	):	):	PUNCT
cana-1706	454	7	12077	12077	NUM
cana-1706	454	8	.	.	PUNCT
cana-1706	455	1	[	[	X
cana-1706	455	2	4	4	NUM
cana-1706	455	3	]	]	SYM
cana-1706	455	4	maghrabi	maghrabi	NOUN
cana-1706	455	5	,	,	PUNCT
cana-1706	455	6	louai	louai	X
cana-1706	455	7	a.	a.	NOUN
cana-1706	455	8	,	,	PUNCT
cana-1706	455	9	et	et	PROPN
cana-1706	455	10	al	al	PROPN
cana-1706	455	11	.	.	PUNCT
cana-1706	456	1	"	"	PUNCT
cana-1706	456	2	enhancing	enhance	VERB
cana-1706	456	3	cybersecurity	cybersecurity	NOUN
cana-1706	456	4	in	in	ADP
cana-1706	456	5	the	the	DET
cana-1706	456	6	internet	internet	NOUN
cana-1706	456	7	of	of	ADP
cana-1706	456	8	things	thing	NOUN
cana-1706	456	9	environment	environment	NOUN
cana-1706	456	10	using	use	VERB
cana-1706	456	11	bald	bald	ADJ
cana-1706	456	12	eagle	eagle	NOUN
cana-1706	456	13	search	search	NOUN
cana-1706	456	14	optimization	optimization	NOUN
cana-1706	456	15	with	with	ADP
cana-1706	456	16	hybrid	hybrid	ADJ
cana-1706	456	17	deep	deep	ADJ
cana-1706	456	18	learning	learning	NOUN
cana-1706	456	19	.	.	PUNCT
cana-1706	456	20	"	"	PUNCT
cana-1706	457	1	ieee	ieee	NOUN
cana-1706	457	2	access	access	NOUN
cana-1706	457	3	(	(	PUNCT
cana-1706	457	4	2024	2024	NUM
cana-1706	457	5	)	)	PUNCT
cana-1706	457	6	.	.	PUNCT
cana-1706	458	1	[	[	X
cana-1706	458	2	5	5	NUM
cana-1706	458	3	]	]	X
cana-1706	458	4	gonaygunta	gonaygunta	ADJ
cana-1706	458	5	,	,	PUNCT
cana-1706	458	6	hari	hari	PROPN
cana-1706	458	7	,	,	PUNCT
cana-1706	458	8	et	et	PROPN
cana-1706	458	9	al	al	PROPN
cana-1706	458	10	.	.	PUNCT
cana-1706	459	1	"	"	PUNCT
cana-1706	459	2	enhancing	enhance	VERB
cana-1706	459	3	cybersecurity	cybersecurity	NOUN
cana-1706	459	4	:	:	PUNCT
cana-1706	459	5	the	the	DET
cana-1706	459	6	development	development	NOUN
cana-1706	459	7	of	of	ADP
cana-1706	459	8	a	a	DET
cana-1706	459	9	flexible	flexible	ADJ
cana-1706	459	10	deep	deep	ADJ
cana-1706	459	11	learning	learning	NOUN
cana-1706	459	12	model	model	NOUN
cana-1706	459	13	for	for	ADP
cana-1706	459	14	enhanced	enhanced	ADJ
cana-1706	459	15	anomaly	anomaly	NOUN
cana-1706	459	16	detection	detection	NOUN
cana-1706	459	17	.	.	PUNCT
cana-1706	459	18	"	"	PUNCT
cana-1706	460	1	2024	2024	NUM
cana-1706	460	2	systems	system	NOUN
cana-1706	460	3	and	and	CCONJ
cana-1706	460	4	information	information	NOUN
cana-1706	460	5	engineering	engineering	NOUN
cana-1706	460	6	design	design	NOUN
cana-1706	460	7	symposium	symposium	NOUN
cana-1706	460	8	(	(	PUNCT
cana-1706	460	9	sieds	sied	NOUN
cana-1706	460	10	)	)	PUNCT
cana-1706	460	11	.	.	PUNCT
cana-1706	461	1	ieee	ieee	NOUN
cana-1706	461	2	,	,	PUNCT
cana-1706	461	3	2024	2024	NUM
cana-1706	461	4	.	.	PUNCT
cana-1706	462	1	[	[	X
cana-1706	462	2	6	6	NUM
cana-1706	462	3	]	]	PUNCT
cana-1706	462	4	okoli	okoli	NOUN
cana-1706	462	5	,	,	PUNCT
cana-1706	462	6	ugochukwu	ugochukwu	NOUN
cana-1706	462	7	ikechukwu	ikechukwu	NOUN
cana-1706	462	8	,	,	PUNCT
cana-1706	462	9	et	et	PROPN
cana-1706	462	10	al	al	PROPN
cana-1706	462	11	.	.	PUNCT
cana-1706	463	1	"	"	PUNCT
cana-1706	463	2	machine	machine	NOUN
cana-1706	463	3	learning	learning	NOUN
cana-1706	463	4	in	in	ADP
cana-1706	463	5	cybersecurity	cybersecurity	NOUN
cana-1706	463	6	:	:	PUNCT
cana-1706	463	7	a	a	DET
cana-1706	463	8	review	review	NOUN
cana-1706	463	9	of	of	ADP
cana-1706	463	10	threat	threat	NOUN
cana-1706	463	11	detection	detection	NOUN
cana-1706	463	12	and	and	CCONJ
cana-1706	463	13	defense	defense	NOUN
cana-1706	463	14	mechanisms	mechanism	NOUN
cana-1706	463	15	.	.	PUNCT
cana-1706	463	16	"	"	PUNCT
cana-1706	464	1	world	world	PROPN
cana-1706	464	2	journal	journal	NOUN
cana-1706	464	3	of	of	ADP
cana-1706	464	4	advanced	advanced	ADJ
cana-1706	464	5	research	research	NOUN
cana-1706	464	6	and	and	CCONJ
cana-1706	464	7	reviews	review	NOUN
cana-1706	464	8	21.1	21.1	NUM
cana-1706	464	9	(	(	PUNCT
cana-1706	464	10	2024	2024	NUM
cana-1706	464	11	):	):	PUNCT
cana-1706	464	12	2286	2286	NUM
cana-1706	464	13	-	-	SYM
cana-1706	464	14	2295	2295	NUM
cana-1706	464	15	.	.	PUNCT
cana-1706	465	1	[	[	X
cana-1706	465	2	7	7	NUM
cana-1706	465	3	]	]	X
cana-1706	465	4	allafi	allafi	NOUN
cana-1706	465	5	,	,	PUNCT
cana-1706	465	6	randa	randa	NOUN
cana-1706	465	7	,	,	PUNCT
cana-1706	465	8	and	and	CCONJ
cana-1706	465	9	ibrahim	ibrahim	PROPN
cana-1706	465	10	r.	r.	PROPN
cana-1706	465	11	alzahrani	alzahrani	PROPN
cana-1706	465	12	.	.	PUNCT
cana-1706	466	1	"	"	PUNCT
cana-1706	466	2	enhancing	enhance	VERB
cana-1706	466	3	cybersecurity	cybersecurity	NOUN
cana-1706	466	4	in	in	ADP
cana-1706	466	5	the	the	DET
cana-1706	466	6	internet	internet	NOUN
cana-1706	466	7	of	of	ADP
cana-1706	466	8	things	thing	NOUN
cana-1706	466	9	environment	environment	NOUN
cana-1706	466	10	using	use	VERB
cana-1706	466	11	artificial	artificial	ADJ
cana-1706	466	12	orca	orca	NOUN
cana-1706	466	13	algorithm	algorithm	NOUN
cana-1706	466	14	and	and	CCONJ
cana-1706	466	15	ensemble	ensemble	ADJ
cana-1706	466	16	learning	learning	NOUN
cana-1706	466	17	model	model	NOUN
cana-1706	466	18	.	.	PUNCT
cana-1706	466	19	"	"	PUNCT
cana-1706	466	20	ieee	ieee	NOUN
cana-1706	466	21	access	access	NOUN
cana-1706	466	22	(	(	PUNCT
cana-1706	466	23	2024	2024	NUM
cana-1706	466	24	)	)	PUNCT
cana-1706	466	25	.	.	PUNCT
cana-1706	467	1	[	[	X
cana-1706	467	2	8	8	NUM
cana-1706	467	3	]	]	X
cana-1706	467	4	pasdar	pasdar	PROPN
cana-1706	467	5	,	,	PUNCT
cana-1706	467	6	amirmohammad	amirmohammad	ADJ
cana-1706	467	7	,	,	PUNCT
cana-1706	467	8	et	et	PROPN
cana-1706	467	9	al	al	PROPN
cana-1706	467	10	.	.	PUNCT
cana-1706	468	1	"	"	PUNCT
cana-1706	468	2	cybersecurity	cybersecurity	NOUN
cana-1706	468	3	solutions	solution	NOUN
cana-1706	468	4	and	and	CCONJ
cana-1706	468	5	techniques	technique	NOUN
cana-1706	468	6	for	for	ADP
cana-1706	468	7	internet	internet	NOUN
cana-1706	468	8	of	of	ADP
cana-1706	468	9	things	thing	NOUN
cana-1706	468	10	integration	integration	NOUN
cana-1706	468	11	in	in	ADP
cana-1706	468	12	combat	combat	NOUN
cana-1706	468	13	systems	system	NOUN
cana-1706	468	14	.	.	PUNCT
cana-1706	468	15	"	"	PUNCT
cana-1706	469	1	ieee	ieee	NOUN
cana-1706	469	2	transactions	transaction	NOUN
cana-1706	469	3	on	on	ADP
cana-1706	469	4	sustainable	sustainable	ADJ
cana-1706	469	5	computing	computing	NOUN
cana-1706	469	6	(	(	PUNCT
cana-1706	469	7	2024	2024	NUM
cana-1706	469	8	)	)	PUNCT
cana-1706	469	9	.	.	PUNCT
cana-1706	470	1	[	[	X
cana-1706	470	2	9	9	NUM
cana-1706	470	3	]	]	SYM
cana-1706	470	4	sajid	sajid	PROPN
cana-1706	470	5	,	,	PUNCT
cana-1706	470	6	muhammad	muhammad	PROPN
cana-1706	470	7	,	,	PUNCT
cana-1706	470	8	et	et	PROPN
cana-1706	470	9	al	al	PROPN
cana-1706	470	10	.	.	PUNCT
cana-1706	470	11	"	"	PUNCT
cana-1706	470	12	enhancing	enhance	VERB
cana-1706	470	13	intrusion	intrusion	NOUN
cana-1706	470	14	detection	detection	NOUN
cana-1706	470	15	:	:	PUNCT
cana-1706	470	16	a	a	DET
cana-1706	470	17	hybrid	hybrid	ADJ
cana-1706	470	18	machine	machine	NOUN
cana-1706	470	19	and	and	CCONJ
cana-1706	470	20	deep	deep	ADJ
cana-1706	470	21	learning	learning	NOUN
cana-1706	470	22	approach	approach	NOUN
cana-1706	470	23	.	.	PUNCT
cana-1706	470	24	"	"	PUNCT
cana-1706	471	1	journal	journal	NOUN
cana-1706	471	2	of	of	ADP
cana-1706	471	3	cloud	cloud	NOUN
cana-1706	471	4	computing	compute	VERB
cana-1706	471	5	13.1	13.1	NUM
cana-1706	471	6	(	(	PUNCT
cana-1706	471	7	2024	2024	NUM
cana-1706	471	8	):	):	PUNCT
cana-1706	471	9	123	123	NUM
cana-1706	471	10	.	.	PUNCT
cana-1706	472	1	[	[	X
cana-1706	472	2	10	10	NUM
cana-1706	472	3	]	]	X
cana-1706	472	4	tahir	tahir	PROPN
cana-1706	472	5	,	,	PUNCT
cana-1706	472	6	usama	usama	PROPN
cana-1706	472	7	,	,	PUNCT
cana-1706	472	8	et	et	PROPN
cana-1706	472	9	al	al	PROPN
cana-1706	472	10	.	.	PUNCT
cana-1706	473	1	"	"	PUNCT
cana-1706	473	2	enhancing	enhance	VERB
cana-1706	473	3	iot	iot	ADJ
cana-1706	473	4	security	security	NOUN
cana-1706	473	5	through	through	ADP
cana-1706	473	6	machine	machine	NOUN
cana-1706	473	7	learning	learning	NOUN
cana-1706	473	8	-	-	PUNCT
cana-1706	473	9	driven	drive	VERB
cana-1706	473	10	anomaly	anomaly	NOUN
cana-1706	473	11	detection	detection	NOUN
cana-1706	473	12	.	.	PUNCT
cana-1706	473	13	"	"	PUNCT
cana-1706	474	1	vfast	vfast	ADJ
cana-1706	474	2	transactions	transaction	NOUN
cana-1706	474	3	on	on	ADP
cana-1706	474	4	software	software	NOUN
cana-1706	474	5	engineering	engineer	VERB
cana-1706	474	6	12.2	12.2	NUM
cana-1706	474	7	(	(	PUNCT
cana-1706	474	8	2024	2024	NUM
cana-1706	474	9	):	):	PUNCT
cana-1706	474	10	01	01	NUM
cana-1706	474	11	-	-	SYM
cana-1706	474	12	13	13	NUM
cana-1706	474	13	.	.	PUNCT
cana-1706	475	1	[	[	X
cana-1706	475	2	11	11	NUM
cana-1706	475	3	]	]	X
cana-1706	475	4	karthikeyan	karthikeyan	PROPN
cana-1706	475	5	,	,	PUNCT
cana-1706	475	6	m.	m.	NOUN
cana-1706	475	7	,	,	PUNCT
cana-1706	475	8	d.	d.	PROPN
cana-1706	475	9	manimegalai	manimegalai	PROPN
cana-1706	475	10	,	,	PUNCT
cana-1706	475	11	and	and	CCONJ
cana-1706	475	12	karthikeyan	karthikeyan	PROPN
cana-1706	475	13	rajagopal	rajagopal	PROPN
cana-1706	475	14	.	.	PUNCT
cana-1706	476	1	"	"	PUNCT
cana-1706	476	2	firefly	firefly	NOUN
cana-1706	476	3	algorithm	algorithm	NOUN
cana-1706	476	4	based	base	VERB
cana-1706	476	5	wsn	wsn	PROPN
cana-1706	476	6	-	-	PUNCT
cana-1706	476	7	iot	iot	ADJ
cana-1706	476	8	security	security	NOUN
cana-1706	476	9	enhancement	enhancement	NOUN
cana-1706	476	10	with	with	ADP
cana-1706	476	11	machine	machine	NOUN
cana-1706	476	12	learning	learning	NOUN
cana-1706	476	13	for	for	ADP
cana-1706	476	14	intrusion	intrusion	NOUN
cana-1706	476	15	detection	detection	NOUN
cana-1706	476	16	.	.	PUNCT
cana-1706	476	17	"	"	PUNCT
cana-1706	477	1	scientific	scientific	ADJ
cana-1706	477	2	reports	report	NOUN
cana-1706	477	3	14.1	14.1	NUM
cana-1706	477	4	(	(	PUNCT
cana-1706	477	5	2024	2024	NUM
cana-1706	477	6	):	):	PUNCT
cana-1706	477	7	231	231	NUM
cana-1706	477	8	.	.	PUNCT
cana-1706	478	1	[	[	X
cana-1706	478	2	12	12	NUM
cana-1706	478	3	]	]	PUNCT
cana-1706	478	4	salama	salama	NOUN
cana-1706	478	5	,	,	PUNCT
cana-1706	478	6	ahmed	ahmed	PROPN
cana-1706	478	7	mohamed	mohamed	PROPN
cana-1706	478	8	,	,	PUNCT
cana-1706	478	9	mohamed	mohamed	PROPN
cana-1706	478	10	abdelazim	abdelazim	PROPN
cana-1706	478	11	mohamed	mohamed	PROPN
cana-1706	478	12	,	,	PUNCT
cana-1706	478	13	and	and	CCONJ
cana-1706	478	14	eman	eman	PROPN
cana-1706	478	15	abdelhalim	abdelhalim	PROPN
cana-1706	478	16	.	.	PUNCT
cana-1706	479	1	"	"	PUNCT
cana-1706	479	2	enhancing	enhance	VERB
cana-1706	479	3	network	network	NOUN
cana-1706	479	4	security	security	NOUN
cana-1706	479	5	in	in	ADP
cana-1706	479	6	iot	iot	ADJ
cana-1706	479	7	applications	application	NOUN
cana-1706	479	8	through	through	ADP
cana-1706	479	9	ddos	ddos	NOUN
cana-1706	479	10	attack	attack	NOUN
cana-1706	479	11	detection	detection	NOUN
cana-1706	479	12	using	use	VERB
cana-1706	479	13	ml	ml	NOUN
cana-1706	479	14	.	.	PUNCT
cana-1706	479	15	"	"	PUNCT
cana-1706	479	16	mansoura	mansoura	PROPN
cana-1706	479	17	engineering	engineering	PROPN
cana-1706	479	18	journal	journal	PROPN
cana-1706	479	19	49.3	49.3	NUM
cana-1706	479	20	(	(	PUNCT
cana-1706	479	21	2024	2024	NUM
cana-1706	479	22	):	):	PUNCT
cana-1706	479	23	10	10	NUM
cana-1706	479	24	.	.	PUNCT
cana-1706	480	1	[	[	X
cana-1706	480	2	13	13	NUM
cana-1706	480	3	]	]	SYM
cana-1706	480	4	padmasree	padmasree	NOUN
cana-1706	480	5	,	,	PUNCT
cana-1706	480	6	ramineni	ramineni	ADJ
cana-1706	480	7	,	,	PUNCT
cana-1706	480	8	and	and	CCONJ
cana-1706	480	9	keerthana	keerthana	PROPN
cana-1706	480	10	muthyam	muthyam	NOUN
cana-1706	480	11	.	.	PUNCT
cana-1706	481	1	"	"	PUNCT
cana-1706	481	2	enhancing	enhance	VERB
cana-1706	481	3	iot	iot	ADJ
cana-1706	481	4	network	network	NOUN
cana-1706	481	5	security	security	NOUN
cana-1706	481	6	through	through	ADP
cana-1706	481	7	prompt	prompt	ADJ
cana-1706	481	8	intrusion	intrusion	NOUN
cana-1706	481	9	detection	detection	NOUN
cana-1706	481	10	using	use	VERB
cana-1706	481	11	machine	machine	NOUN
cana-1706	481	12	learning	learning	NOUN
cana-1706	481	13	.	.	PUNCT
cana-1706	481	14	"	"	PUNCT
cana-1706	482	1	communications	communication	NOUN
cana-1706	482	2	on	on	ADP
cana-1706	482	3	applied	apply	VERB
cana-1706	482	4	nonlinear	nonlinear	ADJ
cana-1706	482	5	analysis	analysis	NOUN
cana-1706	482	6	issn	issn	NOUN
cana-1706	482	7	:	:	PUNCT
cana-1706	482	8	1074	1074	NUM
cana-1706	482	9	-	-	PUNCT
cana-1706	482	10	133x	133x	NUM
cana-1706	482	11	vol	vol	NOUN
cana-1706	482	12	32	32	NUM
cana-1706	482	13	no	no	NOUN
cana-1706	482	14	.	.	NOUN
cana-1706	482	15	2	2	NUM
cana-1706	482	16	(	(	PUNCT
cana-1706	482	17	2025	2025	NUM
cana-1706	482	18	)	)	PUNCT
cana-1706	482	19	52	52	NUM
cana-1706	482	20	https://internationalpubls.com	https://internationalpubls.com	X
cana-1706	483	1	[	[	X
cana-1706	483	2	14	14	NUM
cana-1706	483	3	]	]	X
cana-1706	483	4	hassan	hassan	PROPN
cana-1706	483	5	,	,	PUNCT
cana-1706	483	6	omolola	omolola	PROPN
cana-1706	483	7	f.	f.	PROPN
cana-1706	483	8	,	,	PUNCT
cana-1706	483	9	et	et	PROPN
cana-1706	483	10	al	al	PROPN
cana-1706	483	11	.	.	PUNCT
cana-1706	484	1	"	"	PUNCT
cana-1706	484	2	enhancing	enhance	VERB
cana-1706	484	3	cybersecurity	cybersecurity	NOUN
cana-1706	484	4	through	through	ADP
cana-1706	484	5	cloud	cloud	NOUN
cana-1706	484	6	computing	compute	VERB
cana-1706	484	7	solutions	solution	NOUN
cana-1706	484	8	in	in	ADP
cana-1706	484	9	the	the	DET
cana-1706	484	10	united	united	PROPN
cana-1706	484	11	states	states	PROPN
cana-1706	484	12	.	.	PUNCT
cana-1706	484	13	"	"	PUNCT
cana-1706	485	1	intelligent	intelligent	ADJ
cana-1706	485	2	information	information	NOUN
cana-1706	485	3	management	management	NOUN
cana-1706	485	4	16.4	16.4	NUM
cana-1706	485	5	(	(	PUNCT
cana-1706	485	6	2024	2024	NUM
cana-1706	485	7	):	):	PUNCT
cana-1706	485	8	176	176	NUM
cana-1706	485	9	-	-	SYM
cana-1706	485	10	193	193	NUM
cana-1706	485	11	.	.	PUNCT
cana-1706	486	1	[	[	X
cana-1706	486	2	15	15	NUM
cana-1706	486	3	]	]	X
cana-1706	486	4	malathi	malathi	PROPN
cana-1706	486	5	,	,	PUNCT
cana-1706	486	6	s.	s.	PROPN
cana-1706	486	7	,	,	PUNCT
cana-1706	486	8	and	and	CCONJ
cana-1706	486	9	s.	s.	PROPN
cana-1706	486	10	razool	razool	PROPN
cana-1706	486	11	begum	begum	PROPN
cana-1706	486	12	.	.	PUNCT
cana-1706	487	1	"	"	PUNCT
cana-1706	487	2	enhancing	enhance	VERB
cana-1706	487	3	trustworthiness	trustworthiness	NOUN
cana-1706	487	4	among	among	ADP
cana-1706	487	5	iot	iot	ADJ
cana-1706	487	6	network	network	NOUN
cana-1706	487	7	nodes	node	NOUN
cana-1706	487	8	with	with	ADP
cana-1706	487	9	ensemble	ensemble	ADJ
cana-1706	487	10	deep	deep	ADJ
cana-1706	487	11	learning	learning	NOUN
cana-1706	487	12	-	-	PUNCT
cana-1706	487	13	based	base	VERB
cana-1706	487	14	cyber	cyber	NOUN
cana-1706	487	15	attack	attack	NOUN
cana-1706	487	16	detection	detection	NOUN
cana-1706	487	17	.	.	PUNCT
cana-1706	487	18	"	"	PUNCT
cana-1706	488	1	expert	expert	ADJ
cana-1706	488	2	systems	system	NOUN
cana-1706	488	3	with	with	ADP
cana-1706	488	4	applications	application	NOUN
cana-1706	488	5	(	(	PUNCT
cana-1706	488	6	2024	2024	NUM
cana-1706	488	7	):	):	PUNCT
cana-1706	488	8	124528	124528	NUM
cana-1706	488	9	.	.	PUNCT
cana-1706	489	1	[	[	X
cana-1706	489	2	16	16	NUM
cana-1706	489	3	]	]	PUNCT
cana-1706	489	4	adekunle	adekunle	NOUN
cana-1706	489	5	,	,	PUNCT
cana-1706	489	6	temitope	temitope	PROPN
cana-1706	489	7	samson	samson	PROPN
cana-1706	489	8	,	,	PUNCT
cana-1706	489	9	et	et	PROPN
cana-1706	489	10	al	al	PROPN
cana-1706	489	11	.	.	PUNCT
cana-1706	490	1	"	"	PUNCT
cana-1706	490	2	an	an	DET
cana-1706	490	3	intrusion	intrusion	NOUN
cana-1706	490	4	system	system	NOUN
cana-1706	490	5	for	for	ADP
cana-1706	490	6	internet	internet	NOUN
cana-1706	490	7	of	of	ADP
cana-1706	490	8	things	thing	NOUN
cana-1706	490	9	security	security	NOUN
cana-1706	490	10	breaches	breach	NOUN
cana-1706	490	11	using	use	VERB
cana-1706	490	12	machine	machine	NOUN
cana-1706	490	13	learning	learning	NOUN
cana-1706	490	14	techniques	technique	NOUN
cana-1706	490	15	.	.	PUNCT
cana-1706	490	16	"	"	PUNCT
cana-1706	490	17	artificial	artificial	ADJ
cana-1706	490	18	intelligence	intelligence	NOUN
cana-1706	490	19	and	and	CCONJ
cana-1706	490	20	applications	application	NOUN
cana-1706	490	21	.	.	PUNCT
cana-1706	491	1	vol	vol	NOUN
cana-1706	491	2	.	.	PROPN
cana-1706	492	1	2	2	NUM
cana-1706	492	2	.	.	X
cana-1706	493	1	no	no	INTJ
cana-1706	493	2	.	.	NOUN
cana-1706	494	1	3	3	NUM
cana-1706	494	2	.	.	NOUN
cana-1706	494	3	2024	2024	NUM
cana-1706	494	4	.	.	PUNCT
cana-1706	495	1	[	[	X
cana-1706	495	2	17	17	NUM
cana-1706	495	3	]	]	PUNCT
cana-1706	495	4	ozkan	ozkan	NOUN
cana-1706	495	5	-	-	PUNCT
cana-1706	495	6	ozay	ozay	ADV
cana-1706	495	7	,	,	PUNCT
cana-1706	495	8	merve	merve	NOUN
cana-1706	495	9	,	,	PUNCT
cana-1706	495	10	et	et	PROPN
cana-1706	495	11	al	al	PROPN
cana-1706	495	12	.	.	PUNCT
cana-1706	496	1	"	"	PUNCT
cana-1706	496	2	a	a	DET
cana-1706	496	3	comprehensive	comprehensive	ADJ
cana-1706	496	4	survey	survey	NOUN
cana-1706	496	5	:	:	PUNCT
cana-1706	496	6	evaluating	evaluate	VERB
cana-1706	496	7	the	the	DET
cana-1706	496	8	efficiency	efficiency	NOUN
cana-1706	496	9	of	of	ADP
cana-1706	496	10	artificial	artificial	ADJ
cana-1706	496	11	intelligence	intelligence	NOUN
cana-1706	496	12	and	and	CCONJ
cana-1706	496	13	machine	machine	NOUN
cana-1706	496	14	learning	learn	VERB
cana-1706	496	15	techniques	technique	NOUN
cana-1706	496	16	on	on	ADP
cana-1706	496	17	cyber	cyber	ADJ
cana-1706	496	18	security	security	NOUN
cana-1706	496	19	solutions	solution	NOUN
cana-1706	496	20	.	.	PUNCT
cana-1706	496	21	"	"	PUNCT
cana-1706	497	1	ieee	ieee	NOUN
cana-1706	497	2	access	access	NOUN
cana-1706	497	3	(	(	PUNCT
cana-1706	497	4	2024	2024	NUM
cana-1706	497	5	)	)	PUNCT
cana-1706	497	6	.	.	PUNCT
cana-1706	498	1	[	[	X
cana-1706	498	2	18	18	NUM
cana-1706	498	3	]	]	X
cana-1706	498	4	muhammad	muhammad	PROPN
cana-1706	498	5	,	,	PUNCT
cana-1706	498	6	shafi	shafi	PROPN
cana-1706	498	7	,	,	PUNCT
cana-1706	498	8	et	et	PROPN
cana-1706	498	9	al	al	PROPN
cana-1706	498	10	.	.	PUNCT
cana-1706	499	1	"	"	PUNCT
cana-1706	499	2	integrating	integrate	VERB
cana-1706	499	3	artificial	artificial	ADJ
cana-1706	499	4	intelligence	intelligence	NOUN
cana-1706	499	5	and	and	CCONJ
cana-1706	499	6	machine	machine	NOUN
cana-1706	499	7	learning	learn	VERB
cana-1706	499	8	algorithms	algorithm	NOUN
cana-1706	499	9	to	to	PART
cana-1706	499	10	enhance	enhance	VERB
cana-1706	499	11	cybersecurity	cybersecurity	NOUN
cana-1706	499	12	for	for	ADP
cana-1706	499	13	united	united	PROPN
cana-1706	499	14	states	states	PROPN
cana-1706	499	15	online	online	ADJ
cana-1706	499	16	banking	banking	NOUN
cana-1706	499	17	platforms	platform	NOUN
cana-1706	499	18	.	.	PUNCT
cana-1706	499	19	"	"	PUNCT
cana-1706	500	1	journal	journal	PROPN
cana-1706	500	2	environmental	environmental	ADJ
cana-1706	500	3	sciences	sciences	PROPN
cana-1706	500	4	and	and	CCONJ
cana-1706	500	5	technology	technology	NOUN
cana-1706	500	6	3.1	3.1	NUM
cana-1706	500	7	(	(	PUNCT
cana-1706	500	8	2024	2024	NUM
cana-1706	500	9	):	):	PUNCT
cana-1706	500	10	117	117	NUM
cana-1706	500	11	-	-	SYM
cana-1706	500	12	139	139	NUM
cana-1706	500	13	.	.	PUNCT
cana-1706	501	1	[	[	X
cana-1706	501	2	19	19	NUM
cana-1706	501	3	]	]	X
cana-1706	501	4	thapa	thapa	PROPN
cana-1706	501	5	,	,	PUNCT
cana-1706	501	6	priya	priya	PROPN
cana-1706	501	7	,	,	PUNCT
cana-1706	501	8	and	and	CCONJ
cana-1706	501	9	tamilselvan	tamilselvan	NOUN
cana-1706	501	10	arjunan	arjunan	NOUN
cana-1706	501	11	.	.	PUNCT
cana-1706	502	1	"	"	PUNCT
cana-1706	502	2	ai	ai	VERB
cana-1706	502	3	-	-	PUNCT
cana-1706	502	4	enhanced	enhance	VERB
cana-1706	502	5	cybersecurity	cybersecurity	NOUN
cana-1706	502	6	:	:	PUNCT
cana-1706	502	7	machine	machine	NOUN
cana-1706	502	8	learning	learn	VERB
cana-1706	502	9	for	for	ADP
cana-1706	502	10	anomaly	anomaly	NOUN
cana-1706	502	11	detection	detection	NOUN
cana-1706	502	12	in	in	ADP
cana-1706	502	13	cloud	cloud	NOUN
cana-1706	502	14	computing	computing	NOUN
cana-1706	502	15	.	.	PUNCT
cana-1706	502	16	"	"	PUNCT
cana-1706	503	1	quarterly	quarterly	ADJ
cana-1706	503	2	journal	journal	NOUN
cana-1706	503	3	of	of	ADP
cana-1706	503	4	emerging	emerge	VERB
cana-1706	503	5	technologies	technology	NOUN
cana-1706	503	6	and	and	CCONJ
cana-1706	503	7	innovations	innovation	NOUN
cana-1706	503	8	9.1	9.1	NUM
cana-1706	503	9	(	(	PUNCT
cana-1706	503	10	2024	2024	NUM
cana-1706	503	11	):	):	PUNCT
cana-1706	503	12	25	25	NUM
cana-1706	503	13	-	-	SYM
cana-1706	503	14	37	37	NUM
cana-1706	503	15	.	.	PUNCT
cana-1706	504	1	[	[	X
cana-1706	504	2	20	20	NUM
cana-1706	504	3	]	]	X
cana-1706	504	4	hurry	hurry	NOUN
cana-1706	504	5	,	,	PUNCT
cana-1706	504	6	battle	battle	NOUN
cana-1706	504	7	.	.	PUNCT
cana-1706	505	1	strengthening	strengthen	VERB
cana-1706	505	2	iot	iot	ADJ
cana-1706	505	3	security	security	NOUN
cana-1706	505	4	:	:	PUNCT
cana-1706	505	5	leveraging	leverage	VERB
cana-1706	505	6	machine	machine	NOUN
cana-1706	505	7	learning	learn	VERB
cana-1706	505	8	for	for	ADP
cana-1706	505	9	improved	improved	ADJ
cana-1706	505	10	detection	detection	NOUN
cana-1706	505	11	of	of	ADP
cana-1706	505	12	intrusions	intrusion	NOUN
cana-1706	505	13	in	in	ADP
cana-1706	505	14	connected	connected	ADJ
cana-1706	505	15	networks	network	NOUN
cana-1706	505	16	.	.	PUNCT
cana-1706	506	1	no	no	INTJ
cana-1706	506	2	.	.	NOUN
cana-1706	506	3	12486	12486	NUM
cana-1706	506	4	.	.	PUNCT
cana-1706	507	1	easychair	easychair	PROPN
cana-1706	507	2	,	,	PUNCT
cana-1706	507	3	2024	2024	NUM
cana-1706	507	4	.	.	PUNCT
cana-1706	508	1	[	[	X
cana-1706	508	2	21	21	NUM
cana-1706	508	3	]	]	X
cana-1706	508	4	gite	gite	ADJ
cana-1706	508	5	,	,	PUNCT
cana-1706	508	6	sandeep	sandeep	PROPN
cana-1706	508	7	n.	n.	PROPN
cana-1706	508	8	,	,	PUNCT
cana-1706	508	9	and	and	CCONJ
cana-1706	508	10	smita	smita	PROPN
cana-1706	508	11	l.	l.	PROPN
cana-1706	508	12	kasar	kasar	PROPN
cana-1706	508	13	.	.	PUNCT
cana-1706	509	1	"	"	PUNCT
cana-1706	509	2	enhancing	enhance	VERB
cana-1706	509	3	security	security	NOUN
cana-1706	509	4	for	for	ADP
cana-1706	509	5	nfv	nfv	ADV
cana-1706	509	6	-	-	PUNCT
cana-1706	509	7	based	base	VERB
cana-1706	509	8	iot	iot	NOUN
cana-1706	509	9	networks	network	NOUN
cana-1706	509	10	through	through	ADP
cana-1706	509	11	machine	machine	NOUN
cana-1706	509	12	learning	learning	NOUN
cana-1706	509	13	:	:	PUNCT
cana-1706	509	14	a	a	DET
cana-1706	509	15	comprehensive	comprehensive	ADJ
cana-1706	509	16	review	review	NOUN
cana-1706	509	17	and	and	CCONJ
cana-1706	509	18	analysis	analysis	NOUN
cana-1706	509	19	.	.	PUNCT
cana-1706	509	20	"	"	PUNCT
cana-1706	510	1	educational	educational	ADJ
cana-1706	510	2	administration	administration	NOUN
cana-1706	510	3	:	:	PUNCT
cana-1706	510	4	theory	theory	NOUN
cana-1706	510	5	and	and	CCONJ
cana-1706	510	6	practice	practice	NOUN
cana-1706	510	7	30.5	30.5	NUM
cana-1706	510	8	(	(	PUNCT
cana-1706	510	9	2024	2024	NUM
cana-1706	510	10	):	):	PUNCT
cana-1706	510	11	13007	13007	NUM
cana-1706	510	12	-	-	SYM
cana-1706	510	13	13024	13024	NUM
cana-1706	510	14	.	.	PUNCT
cana-1706	511	1	[	[	X
cana-1706	511	2	22	22	NUM
cana-1706	511	3	]	]	X
cana-1706	511	4	isakov	isakov	PROPN
cana-1706	511	5	,	,	PUNCT
cana-1706	511	6	abror	abror	PROPN
cana-1706	511	7	,	,	PUNCT
cana-1706	511	8	et	et	PROPN
cana-1706	511	9	al	al	PROPN
cana-1706	511	10	.	.	PUNCT
cana-1706	512	1	"	"	PUNCT
cana-1706	512	2	enhancing	enhance	VERB
cana-1706	512	3	cybersecurity	cybersecurity	NOUN
cana-1706	512	4	:	:	PUNCT
cana-1706	512	5	protecting	protect	VERB
cana-1706	512	6	data	datum	NOUN
cana-1706	512	7	in	in	ADP
cana-1706	512	8	the	the	DET
cana-1706	512	9	digital	digital	ADJ
cana-1706	512	10	age	age	NOUN
cana-1706	512	11	.	.	PUNCT
cana-1706	512	12	"	"	PUNCT
cana-1706	513	1	innovations	innovation	NOUN
cana-1706	513	2	in	in	ADP
cana-1706	513	3	science	science	NOUN
cana-1706	513	4	and	and	CCONJ
cana-1706	513	5	technologies	technology	NOUN
cana-1706	513	6	1.1	1.1	NUM
cana-1706	513	7	(	(	PUNCT
cana-1706	513	8	2024	2024	NUM
cana-1706	513	9	):	):	PUNCT
cana-1706	513	10	40	40	NUM
cana-1706	513	11	-	-	SYM
cana-1706	513	12	49	49	NUM
cana-1706	513	13	.	.	PUNCT
cana-1706	514	1	[	[	X
cana-1706	514	2	23	23	NUM
cana-1706	514	3	]	]	SYM
cana-1706	514	4	ali	ali	PROPN
cana-1706	514	5	,	,	PUNCT
cana-1706	514	6	shamshair	shamshair	NOUN
cana-1706	514	7	,	,	PUNCT
cana-1706	514	8	et	et	PROPN
cana-1706	514	9	al	al	PROPN
cana-1706	514	10	.	.	PUNCT
cana-1706	515	1	"	"	PUNCT
cana-1706	515	2	a	a	DET
cana-1706	515	3	novel	novel	ADJ
cana-1706	515	4	approach	approach	NOUN
cana-1706	515	5	of	of	ADP
cana-1706	515	6	botnet	botnet	NOUN
cana-1706	515	7	detection	detection	NOUN
cana-1706	515	8	using	use	VERB
cana-1706	515	9	hybrid	hybrid	ADJ
cana-1706	515	10	deep	deep	ADJ
cana-1706	515	11	learning	learning	NOUN
cana-1706	515	12	for	for	ADP
cana-1706	515	13	enhancing	enhance	VERB
cana-1706	515	14	security	security	NOUN
cana-1706	515	15	in	in	ADP
cana-1706	515	16	iot	iot	PROPN
cana-1706	515	17	networks	network	NOUN
cana-1706	515	18	.	.	PUNCT
cana-1706	515	19	"	"	PUNCT
cana-1706	516	1	alexandria	alexandria	PROPN
cana-1706	516	2	engineering	engineering	PROPN
cana-1706	516	3	journal	journal	PROPN
cana-1706	516	4	103	103	NUM
cana-1706	516	5	(	(	PUNCT
cana-1706	516	6	2024	2024	NUM
cana-1706	516	7	):	):	PUNCT
cana-1706	516	8	88	88	NUM
cana-1706	516	9	-	-	SYM
cana-1706	516	10	97	97	NUM
cana-1706	516	11	.	.	PUNCT
cana-1706	517	1	[	[	X
cana-1706	517	2	24	24	NUM
cana-1706	517	3	]	]	X
cana-1706	517	4	inuwa	inuwa	PROPN
cana-1706	517	5	,	,	PUNCT
cana-1706	517	6	muhammad	muhammad	PROPN
cana-1706	517	7	muhammad	muhammad	PROPN
cana-1706	517	8	,	,	PUNCT
cana-1706	517	9	and	and	CCONJ
cana-1706	517	10	resul	resul	PROPN
cana-1706	517	11	das	das	PROPN
cana-1706	517	12	.	.	PUNCT
cana-1706	518	1	"	"	PUNCT
cana-1706	518	2	a	a	DET
cana-1706	518	3	comparative	comparative	ADJ
cana-1706	518	4	analysis	analysis	NOUN
cana-1706	518	5	of	of	ADP
cana-1706	518	6	various	various	ADJ
cana-1706	518	7	machine	machine	NOUN
cana-1706	518	8	learning	learning	NOUN
cana-1706	518	9	methods	method	NOUN
cana-1706	518	10	for	for	ADP
cana-1706	518	11	anomaly	anomaly	NOUN
cana-1706	518	12	detection	detection	NOUN
cana-1706	518	13	in	in	ADP
cana-1706	518	14	cyber	cyber	NOUN
cana-1706	518	15	attacks	attack	NOUN
cana-1706	518	16	on	on	ADP
cana-1706	518	17	iot	iot	PROPN
cana-1706	518	18	networks	network	NOUN
cana-1706	518	19	.	.	PUNCT
cana-1706	518	20	"	"	PUNCT
cana-1706	519	1	internet	internet	NOUN
cana-1706	519	2	of	of	ADP
cana-1706	519	3	things	thing	NOUN
cana-1706	519	4	26	26	NUM
cana-1706	519	5	(	(	PUNCT
cana-1706	519	6	2024	2024	NUM
cana-1706	519	7	):	):	PUNCT
cana-1706	519	8	101162	101162	NUM
cana-1706	519	9	.	.	PUNCT
cana-1706	520	1	[	[	X
cana-1706	520	2	25	25	NUM
cana-1706	520	3	]	]	X
cana-1706	520	4	ansar	ansar	PROPN
cana-1706	520	5	,	,	PUNCT
cana-1706	520	6	nadia	nadia	PROPN
cana-1706	520	7	,	,	PUNCT
cana-1706	520	8	et	et	PROPN
cana-1706	520	9	al	al	PROPN
cana-1706	520	10	.	.	PUNCT
cana-1706	521	1	"	"	PUNCT
cana-1706	521	2	a	a	DET
cana-1706	521	3	cutting	cut	VERB
cana-1706	521	4	-	-	PUNCT
cana-1706	521	5	edge	edge	NOUN
cana-1706	521	6	deep	deep	ADJ
cana-1706	521	7	learning	learning	NOUN
cana-1706	521	8	method	method	NOUN
cana-1706	521	9	for	for	ADP
cana-1706	521	10	enhancing	enhance	VERB
cana-1706	521	11	iot	iot	ADJ
cana-1706	521	12	security	security	NOUN
cana-1706	521	13	.	.	PUNCT
cana-1706	521	14	"	"	PUNCT
cana-1706	522	1	arxiv	arxiv	PROPN
cana-1706	522	2	preprint	preprint	NOUN
cana-1706	522	3	arxiv:2406.12400	arxiv:2406.12400	NOUN
cana-1706	522	4	(	(	PUNCT
cana-1706	522	5	2024	2024	NUM
cana-1706	522	6	)	)	PUNCT
cana-1706	522	7	.	.	PUNCT
cana-1706	523	1	[	[	X
cana-1706	523	2	26	26	NUM
cana-1706	523	3	]	]	PUNCT
cana-1706	523	4	venkatesan	venkatesan	NOUN
cana-1706	523	5	,	,	PUNCT
cana-1706	523	6	k.	k.	PROPN
cana-1706	523	7	,	,	PUNCT
cana-1706	523	8	and	and	CCONJ
cana-1706	523	9	syarifah	syarifah	VERB
cana-1706	523	10	bahiyah	bahiyah	PROPN
cana-1706	523	11	rahayu	rahayu	PROPN
cana-1706	523	12	.	.	PUNCT
cana-1706	524	1	"	"	PUNCT
cana-1706	524	2	blockchain	blockchain	VERB
cana-1706	524	3	security	security	NOUN
cana-1706	524	4	enhancement	enhancement	NOUN
cana-1706	524	5	:	:	PUNCT
cana-1706	524	6	an	an	DET
cana-1706	524	7	approach	approach	NOUN
cana-1706	524	8	towards	towards	ADP
cana-1706	524	9	hybrid	hybrid	ADJ
cana-1706	524	10	consensus	consensus	NOUN
cana-1706	524	11	algorithms	algorithm	NOUN
cana-1706	524	12	and	and	CCONJ
cana-1706	524	13	machine	machine	NOUN
cana-1706	524	14	learning	learn	VERB
cana-1706	524	15	techniques	technique	NOUN
cana-1706	524	16	.	.	PUNCT
cana-1706	524	17	"	"	PUNCT
cana-1706	525	1	scientific	scientific	ADJ
cana-1706	525	2	reports	report	NOUN
cana-1706	525	3	14.1	14.1	NUM
cana-1706	525	4	(	(	PUNCT
cana-1706	525	5	2024	2024	NUM
cana-1706	525	6	):	):	PUNCT
cana-1706	525	7	1149	1149	NUM
cana-1706	525	8	.	.	PUNCT
cana-1706	526	1	[	[	X
cana-1706	526	2	27	27	NUM
cana-1706	526	3	]	]	SYM
cana-1706	526	4	venkatesan	venkatesan	NOUN
cana-1706	526	5	,	,	PUNCT
cana-1706	526	6	k.	k.	PROPN
cana-1706	526	7	,	,	PUNCT
cana-1706	526	8	and	and	CCONJ
cana-1706	526	9	syarifah	syarifah	VERB
cana-1706	526	10	bahiyah	bahiyah	PROPN
cana-1706	526	11	rahayu	rahayu	PROPN
cana-1706	526	12	.	.	PUNCT
cana-1706	527	1	"	"	PUNCT
cana-1706	527	2	blockchain	blockchain	VERB
cana-1706	527	3	security	security	NOUN
cana-1706	527	4	enhancement	enhancement	NOUN
cana-1706	527	5	:	:	PUNCT
cana-1706	527	6	an	an	DET
cana-1706	527	7	approach	approach	NOUN
cana-1706	527	8	towards	towards	ADP
cana-1706	527	9	hybrid	hybrid	ADJ
cana-1706	527	10	consensus	consensus	NOUN
cana-1706	527	11	algorithms	algorithm	NOUN
cana-1706	527	12	and	and	CCONJ
cana-1706	527	13	machine	machine	NOUN
cana-1706	527	14	learning	learn	VERB
cana-1706	527	15	techniques	technique	NOUN
cana-1706	527	16	.	.	PUNCT
cana-1706	527	17	"	"	PUNCT
cana-1706	528	1	scientific	scientific	ADJ
cana-1706	528	2	reports	report	NOUN
cana-1706	528	3	14.1	14.1	NUM
cana-1706	528	4	(	(	PUNCT
cana-1706	528	5	2024	2024	NUM
cana-1706	528	6	):	):	PUNCT
cana-1706	528	7	1149	1149	NUM
cana-1706	528	8	.	.	PUNCT
cana-1706	529	1	[	[	X
cana-1706	529	2	28	28	NUM
cana-1706	529	3	]	]	X
cana-1706	529	4	khan	khan	PROPN
cana-1706	529	5	,	,	PUNCT
cana-1706	529	6	maryam	maryam	PROPN
cana-1706	529	7	mahsal	mahsal	NOUN
cana-1706	529	8	,	,	PUNCT
cana-1706	529	9	and	and	CCONJ
cana-1706	529	10	mohammed	mohammed	PROPN
cana-1706	529	11	alkhathami	alkhathami	NOUN
cana-1706	529	12	.	.	PUNCT
cana-1706	530	1	"	"	PUNCT
cana-1706	530	2	anomaly	anomaly	NOUN
cana-1706	530	3	detection	detection	NOUN
cana-1706	530	4	in	in	ADP
cana-1706	530	5	iot	iot	NOUN
cana-1706	530	6	-	-	PUNCT
cana-1706	530	7	based	base	VERB
cana-1706	530	8	healthcare	healthcare	NOUN
cana-1706	530	9	:	:	PUNCT
cana-1706	530	10	machine	machine	NOUN
cana-1706	530	11	learning	learn	VERB
cana-1706	530	12	for	for	ADP
cana-1706	530	13	enhanced	enhanced	ADJ
cana-1706	530	14	security	security	NOUN
cana-1706	530	15	.	.	PUNCT
cana-1706	530	16	"	"	PUNCT
cana-1706	531	1	scientific	scientific	ADJ
cana-1706	531	2	reports	report	NOUN
cana-1706	531	3	14.1	14.1	NUM
cana-1706	531	4	(	(	PUNCT
cana-1706	531	5	2024	2024	NUM
cana-1706	531	6	):	):	PUNCT
cana-1706	531	7	5872	5872	NUM
cana-1706	531	8	.	.	PUNCT