id	sid	tid	token	lemma	pos
cana-5262	1	1	communications	communication	NOUN
cana-5262	1	2	on	on	ADP
cana-5262	1	3	applied	apply	VERB
cana-5262	1	4	nonlinear	nonlinear	ADJ
cana-5262	1	5	analysis	analysis	NOUN
cana-5262	1	6	issn	issn	NOUN
cana-5262	1	7	:	:	PUNCT
cana-5262	1	8	1074	1074	NUM
cana-5262	1	9	-	-	PUNCT
cana-5262	1	10	133x	133x	NUM
cana-5262	1	11	vol	vol	VERB
cana-5262	1	12	32	32	NUM
cana-5262	1	13	no	no	NOUN
cana-5262	1	14	.	.	PUNCT
cana-5262	2	1	10s	10	NOUN
cana-5262	2	2	(	(	PUNCT
cana-5262	2	3	2025	2025	NUM
cana-5262	2	4	)	)	PUNCT
cana-5262	2	5	1589	1589	NUM
cana-5262	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	2	7	machine	machine	NOUN
cana-5262	2	8	learning	learning	NOUN
cana-5262	2	9	based	base	VERB
cana-5262	2	10	security	security	NOUN
cana-5262	2	11	for	for	ADP
cana-5262	2	12	iot	iot	PROPN
cana-5262	2	13	networks	network	NOUN
cana-5262	2	14	1mr	1mr	NOUN
cana-5262	2	15	.	.	PUNCT
cana-5262	3	1	ajay	ajay	PROPN
cana-5262	3	2	soni	soni	PROPN
cana-5262	3	3	,	,	PUNCT
cana-5262	3	4	2	2	NUM
cana-5262	3	5	dr	dr	PROPN
cana-5262	3	6	.	.	PROPN
cana-5262	3	7	zubair	zubair	PROPN
cana-5262	3	8	ahmed	ahmed	PROPN
cana-5262	3	9	khan	khan	PROPN
cana-5262	3	10	1	1	NUM
cana-5262	3	11	m.	m.	NOUN
cana-5262	3	12	tech	tech	NOUN
cana-5262	3	13	.	.	PUNCT
cana-5262	4	1	scholar	scholar	NOUN
cana-5262	4	2	,	,	PUNCT
cana-5262	4	3	2	2	NUM
cana-5262	4	4	hod	hod	NOUN
cana-5262	4	5	1	1	NUM
cana-5262	4	6	,	,	PUNCT
cana-5262	4	7	2	2	NUM
cana-5262	4	8	department	department	NOUN
cana-5262	4	9	of	of	ADP
cana-5262	4	10	computer	computer	NOUN
cana-5262	4	11	science	science	PROPN
cana-5262	4	12	&	&	CCONJ
cana-5262	4	13	engineering	engineering	PROPN
cana-5262	4	14	1	1	NUM
cana-5262	4	15	,	,	PUNCT
cana-5262	4	16	2	2	NUM
cana-5262	4	17	mats	mat	NOUN
cana-5262	4	18	school	school	NOUN
cana-5262	4	19	of	of	ADP
cana-5262	4	20	engineering	engineering	NOUN
cana-5262	4	21	&	&	CCONJ
cana-5262	4	22	it	it	PRON
cana-5262	4	23	,	,	PUNCT
cana-5262	4	24	mats	mat	VERB
cana-5262	4	25	university	university	PROPN
cana-5262	4	26	aarang	aarang	PROPN
cana-5262	4	27	,	,	PUNCT
cana-5262	4	28	raipur	raipur	PROPN
cana-5262	4	29	1ajaysoni426@gmail.com	1ajaysoni426@gmail.com	NUM
cana-5262	4	30	,	,	PUNCT
cana-5262	4	31	2	2	NUM
cana-5262	4	32	zubairahmedkhanresearch@gmail.com	zubairahmedkhanresearch@gmail.com	NOUN
cana-5262	4	33	article	article	NOUN
cana-5262	4	34	history	history	NOUN
cana-5262	4	35	:	:	PUNCT
cana-5262	4	36	received	receive	VERB
cana-5262	4	37	:	:	PUNCT
cana-5262	4	38	12	12	NUM
cana-5262	4	39	-	-	SYM
cana-5262	4	40	01	01	NUM
cana-5262	4	41	-	-	PUNCT
cana-5262	4	42	2025	2025	NUM
cana-5262	4	43	revised	revise	VERB
cana-5262	4	44	:	:	PUNCT
cana-5262	4	45	15	15	NUM
cana-5262	4	46	-	-	NUM
cana-5262	4	47	02	02	NUM
cana-5262	4	48	-	-	PUNCT
cana-5262	4	49	2025	2025	NUM
cana-5262	4	50	accepted	accept	VERB
cana-5262	4	51	:	:	PUNCT
cana-5262	4	52	01	01	NUM
cana-5262	4	53	-	-	SYM
cana-5262	4	54	03	03	NUM
cana-5262	4	55	-	-	PUNCT
cana-5262	4	56	2025	2025	NUM
cana-5262	4	57	abstract	abstract	NOUN
cana-5262	4	58	:	:	PUNCT
cana-5262	4	59	the	the	DET
cana-5262	4	60	sheer	sheer	ADJ
cana-5262	4	61	scale	scale	NOUN
cana-5262	4	62	and	and	CCONJ
cana-5262	4	63	diversity	diversity	NOUN
cana-5262	4	64	of	of	ADP
cana-5262	4	65	iot	iot	PROPN
cana-5262	4	66	networks	network	NOUN
cana-5262	4	67	,	,	PUNCT
cana-5262	4	68	coupled	couple	VERB
cana-5262	4	69	with	with	ADP
cana-5262	4	70	limited	limited	ADJ
cana-5262	4	71	computational	computational	ADJ
cana-5262	4	72	resources	resource	NOUN
cana-5262	4	73	and	and	CCONJ
cana-5262	4	74	heterogeneous	heterogeneous	ADJ
cana-5262	4	75	environments	environment	NOUN
cana-5262	4	76	,	,	PUNCT
cana-5262	4	77	make	make	VERB
cana-5262	4	78	traditional	traditional	ADJ
cana-5262	4	79	security	security	NOUN
cana-5262	4	80	approaches	approach	NOUN
cana-5262	4	81	ineffective	ineffective	ADJ
cana-5262	4	82	in	in	ADP
cana-5262	4	83	safeguarding	safeguard	VERB
cana-5262	4	84	iot	iot	NOUN
cana-5262	4	85	systems	system	NOUN
cana-5262	4	86	.	.	PUNCT
cana-5262	5	1	cybersecurity	cybersecurity	NOUN
cana-5262	5	2	in	in	ADP
cana-5262	5	3	iot	iot	PROPN
cana-5262	5	4	networks	network	NOUN
cana-5262	5	5	is	be	AUX
cana-5262	5	6	complicated	complicate	VERB
cana-5262	5	7	by	by	ADP
cana-5262	5	8	the	the	DET
cana-5262	5	9	dynamic	dynamic	ADJ
cana-5262	5	10	and	and	CCONJ
cana-5262	5	11	resource	resource	NOUN
cana-5262	5	12	-	-	PUNCT
cana-5262	5	13	constrained	constrain	VERB
cana-5262	5	14	nature	nature	NOUN
cana-5262	5	15	of	of	ADP
cana-5262	5	16	iot	iot	PROPN
cana-5262	5	17	devices	device	NOUN
cana-5262	5	18	,	,	PUNCT
cana-5262	5	19	making	make	VERB
cana-5262	5	20	them	they	PRON
cana-5262	5	21	more	more	ADV
cana-5262	5	22	vulnerable	vulnerable	ADJ
cana-5262	5	23	to	to	ADP
cana-5262	5	24	a	a	DET
cana-5262	5	25	wide	wide	ADJ
cana-5262	5	26	array	array	NOUN
cana-5262	5	27	of	of	ADP
cana-5262	5	28	cyber	cyber	NOUN
cana-5262	5	29	-	-	PUNCT
cana-5262	5	30	attacks	attack	NOUN
cana-5262	5	31	,	,	PUNCT
cana-5262	5	32	including	include	VERB
cana-5262	5	33	unauthorized	unauthorized	ADJ
cana-5262	5	34	access	access	NOUN
cana-5262	5	35	,	,	PUNCT
cana-5262	5	36	data	datum	NOUN
cana-5262	5	37	breaches	breach	NOUN
cana-5262	5	38	,	,	PUNCT
cana-5262	5	39	and	and	CCONJ
cana-5262	5	40	denial	denial	NOUN
cana-5262	5	41	-	-	PUNCT
cana-5262	5	42	of	of	ADP
cana-5262	5	43	-	-	PUNCT
cana-5262	5	44	service	service	NOUN
cana-5262	5	45	(	(	PUNCT
cana-5262	5	46	dos	do	NOUN
cana-5262	5	47	)	)	PUNCT
cana-5262	5	48	attacks	attack	NOUN
cana-5262	5	49	.	.	PUNCT
cana-5262	6	1	therefore	therefore	ADV
cana-5262	6	2	,	,	PUNCT
cana-5262	6	3	the	the	DET
cana-5262	6	4	need	need	NOUN
cana-5262	6	5	for	for	ADP
cana-5262	6	6	robust	robust	ADJ
cana-5262	6	7	and	and	CCONJ
cana-5262	6	8	efficient	efficient	ADJ
cana-5262	6	9	intrusion	intrusion	NOUN
cana-5262	6	10	detection	detection	NOUN
cana-5262	6	11	systems	system	NOUN
cana-5262	6	12	(	(	PUNCT
cana-5262	6	13	ids	id	NOUN
cana-5262	6	14	)	)	PUNCT
cana-5262	6	15	tailored	tailor	VERB
cana-5262	6	16	for	for	ADP
cana-5262	6	17	iot	iot	ADJ
cana-5262	6	18	environments	environment	NOUN
cana-5262	6	19	is	be	AUX
cana-5262	6	20	more	more	ADV
cana-5262	6	21	critical	critical	ADJ
cana-5262	6	22	than	than	ADP
cana-5262	6	23	ever	ever	ADV
cana-5262	6	24	.	.	PUNCT
cana-5262	7	1	keywords	keyword	NOUN
cana-5262	7	2	:	:	PUNCT
cana-5262	7	3	computational	computational	ADJ
cana-5262	7	4	,	,	PUNCT
cana-5262	7	5	environments	environment	NOUN
cana-5262	7	6	,	,	PUNCT
cana-5262	7	7	constrained	constrain	VERB
cana-5262	7	8	.	.	PUNCT
cana-5262	7	9	1	1	NUM
cana-5262	7	10	introduction	introduction	NOUN
cana-5262	7	11	the	the	DET
cana-5262	7	12	rapid	rapid	ADJ
cana-5262	7	13	expansion	expansion	NOUN
cana-5262	7	14	of	of	ADP
cana-5262	7	15	the	the	DET
cana-5262	7	16	internet	internet	NOUN
cana-5262	7	17	of	of	ADP
cana-5262	7	18	things	thing	NOUN
cana-5262	7	19	(	(	PUNCT
cana-5262	7	20	iot	iot	NOUN
cana-5262	7	21	)	)	PUNCT
cana-5262	7	22	has	have	AUX
cana-5262	7	23	revolutionized	revolutionize	VERB
cana-5262	7	24	various	various	ADJ
cana-5262	7	25	industries	industry	NOUN
cana-5262	7	26	by	by	ADP
cana-5262	7	27	enabling	enable	VERB
cana-5262	7	28	interconnected	interconnected	ADJ
cana-5262	7	29	devices	device	NOUN
cana-5262	7	30	to	to	PART
cana-5262	7	31	communicate	communicate	VERB
cana-5262	7	32	,	,	PUNCT
cana-5262	7	33	collect	collect	VERB
cana-5262	7	34	,	,	PUNCT
cana-5262	7	35	and	and	CCONJ
cana-5262	7	36	exchange	exchange	NOUN
cana-5262	7	37	data	datum	NOUN
cana-5262	7	38	seamlessly	seamlessly	ADV
cana-5262	7	39	.	.	PUNCT
cana-5262	8	1	these	these	DET
cana-5262	8	2	devices	device	NOUN
cana-5262	8	3	,	,	PUNCT
cana-5262	8	4	ranging	range	VERB
cana-5262	8	5	from	from	ADP
cana-5262	8	6	sensors	sensor	NOUN
cana-5262	8	7	and	and	CCONJ
cana-5262	8	8	actuators	actuator	NOUN
cana-5262	8	9	to	to	ADP
cana-5262	8	10	embedded	embed	VERB
cana-5262	8	11	systems	system	NOUN
cana-5262	8	12	and	and	CCONJ
cana-5262	8	13	smart	smart	ADJ
cana-5262	8	14	devices	device	NOUN
cana-5262	8	15	,	,	PUNCT
cana-5262	8	16	play	play	VERB
cana-5262	8	17	a	a	DET
cana-5262	8	18	pivotal	pivotal	ADJ
cana-5262	8	19	role	role	NOUN
cana-5262	8	20	in	in	ADP
cana-5262	8	21	automating	automate	VERB
cana-5262	8	22	processes	process	NOUN
cana-5262	8	23	,	,	PUNCT
cana-5262	8	24	improving	improve	VERB
cana-5262	8	25	efficiency	efficiency	NOUN
cana-5262	8	26	,	,	PUNCT
cana-5262	8	27	and	and	CCONJ
cana-5262	8	28	enhancing	enhance	VERB
cana-5262	8	29	user	user	NOUN
cana-5262	8	30	experiences	experience	NOUN
cana-5262	8	31	.	.	PUNCT
cana-5262	9	1	however	however	ADV
cana-5262	9	2	,	,	PUNCT
cana-5262	9	3	the	the	DET
cana-5262	9	4	growing	grow	VERB
cana-5262	9	5	adoption	adoption	NOUN
cana-5262	9	6	of	of	ADP
cana-5262	9	7	iot	iot	PROPN
cana-5262	9	8	technologies	technology	NOUN
cana-5262	9	9	also	also	ADV
cana-5262	9	10	introduces	introduce	VERB
cana-5262	9	11	significant	significant	ADJ
cana-5262	9	12	security	security	NOUN
cana-5262	9	13	challenges	challenge	NOUN
cana-5262	9	14	,	,	PUNCT
cana-5262	9	15	as	as	SCONJ
cana-5262	9	16	the	the	DET
cana-5262	9	17	interconnected	interconnected	ADJ
cana-5262	9	18	nature	nature	NOUN
cana-5262	9	19	of	of	ADP
cana-5262	9	20	these	these	DET
cana-5262	9	21	devices	device	NOUN
cana-5262	9	22	creates	create	VERB
cana-5262	9	23	a	a	DET
cana-5262	9	24	vast	vast	ADJ
cana-5262	9	25	attack	attack	NOUN
cana-5262	9	26	surface	surface	NOUN
cana-5262	9	27	for	for	ADP
cana-5262	9	28	malicious	malicious	ADJ
cana-5262	9	29	actors	actor	NOUN
cana-5262	9	30	.	.	PUNCT
cana-5262	10	1	the	the	DET
cana-5262	10	2	sheer	sheer	ADJ
cana-5262	10	3	scale	scale	NOUN
cana-5262	10	4	and	and	CCONJ
cana-5262	10	5	diversity	diversity	NOUN
cana-5262	10	6	of	of	ADP
cana-5262	10	7	iot	iot	PROPN
cana-5262	10	8	networks	network	NOUN
cana-5262	10	9	,	,	PUNCT
cana-5262	10	10	coupled	couple	VERB
cana-5262	10	11	with	with	ADP
cana-5262	10	12	limited	limited	ADJ
cana-5262	10	13	computational	computational	ADJ
cana-5262	10	14	resources	resource	NOUN
cana-5262	10	15	and	and	CCONJ
cana-5262	10	16	heterogeneous	heterogeneous	ADJ
cana-5262	10	17	environments	environment	NOUN
cana-5262	10	18	,	,	PUNCT
cana-5262	10	19	make	make	VERB
cana-5262	10	20	traditional	traditional	ADJ
cana-5262	10	21	security	security	NOUN
cana-5262	10	22	approaches	approach	NOUN
cana-5262	10	23	ineffective	ineffective	ADJ
cana-5262	10	24	in	in	ADP
cana-5262	10	25	safeguarding	safeguard	VERB
cana-5262	10	26	iot	iot	NOUN
cana-5262	10	27	systems	system	NOUN
cana-5262	10	28	.	.	PUNCT
cana-5262	11	1	cybersecurity	cybersecurity	NOUN
cana-5262	11	2	in	in	ADP
cana-5262	11	3	iot	iot	PROPN
cana-5262	11	4	networks	network	NOUN
cana-5262	11	5	is	be	AUX
cana-5262	11	6	complicated	complicate	VERB
cana-5262	11	7	by	by	ADP
cana-5262	11	8	the	the	DET
cana-5262	11	9	dynamic	dynamic	ADJ
cana-5262	11	10	and	and	CCONJ
cana-5262	11	11	resource	resource	NOUN
cana-5262	11	12	-	-	PUNCT
cana-5262	11	13	constrained	constrain	VERB
cana-5262	11	14	nature	nature	NOUN
cana-5262	11	15	of	of	ADP
cana-5262	11	16	iot	iot	PROPN
cana-5262	11	17	devices	device	NOUN
cana-5262	11	18	,	,	PUNCT
cana-5262	11	19	making	make	VERB
cana-5262	11	20	them	they	PRON
cana-5262	11	21	more	more	ADV
cana-5262	11	22	vulnerable	vulnerable	ADJ
cana-5262	11	23	to	to	ADP
cana-5262	11	24	a	a	DET
cana-5262	11	25	wide	wide	ADJ
cana-5262	11	26	array	array	NOUN
cana-5262	11	27	of	of	ADP
cana-5262	11	28	cyber	cyber	NOUN
cana-5262	11	29	-	-	PUNCT
cana-5262	11	30	attacks	attack	NOUN
cana-5262	11	31	,	,	PUNCT
cana-5262	11	32	including	include	VERB
cana-5262	11	33	unauthorized	unauthorized	ADJ
cana-5262	11	34	access	access	NOUN
cana-5262	11	35	,	,	PUNCT
cana-5262	11	36	data	datum	NOUN
cana-5262	11	37	breaches	breach	NOUN
cana-5262	11	38	,	,	PUNCT
cana-5262	11	39	and	and	CCONJ
cana-5262	11	40	denial	denial	NOUN
cana-5262	11	41	-	-	PUNCT
cana-5262	11	42	of	of	ADP
cana-5262	11	43	-	-	PUNCT
cana-5262	11	44	service	service	NOUN
cana-5262	11	45	(	(	PUNCT
cana-5262	11	46	dos	do	NOUN
cana-5262	11	47	)	)	PUNCT
cana-5262	11	48	attacks	attack	NOUN
cana-5262	11	49	.	.	PUNCT
cana-5262	12	1	therefore	therefore	ADV
cana-5262	12	2	,	,	PUNCT
cana-5262	12	3	the	the	DET
cana-5262	12	4	need	need	NOUN
cana-5262	12	5	for	for	ADP
cana-5262	12	6	robust	robust	ADJ
cana-5262	12	7	and	and	CCONJ
cana-5262	12	8	efficient	efficient	ADJ
cana-5262	12	9	intrusion	intrusion	NOUN
cana-5262	12	10	detection	detection	NOUN
cana-5262	12	11	systems	system	NOUN
cana-5262	12	12	(	(	PUNCT
cana-5262	12	13	ids	id	NOUN
cana-5262	12	14	)	)	PUNCT
cana-5262	12	15	tailored	tailor	VERB
cana-5262	12	16	for	for	ADP
cana-5262	12	17	iot	iot	ADJ
cana-5262	12	18	environments	environment	NOUN
cana-5262	12	19	is	be	AUX
cana-5262	12	20	more	more	ADV
cana-5262	12	21	critical	critical	ADJ
cana-5262	12	22	than	than	ADP
cana-5262	12	23	ever	ever	ADV
cana-5262	12	24	.	.	PUNCT
cana-5262	13	1	intrusion	intrusion	NOUN
cana-5262	13	2	detection	detection	NOUN
cana-5262	13	3	systems	system	NOUN
cana-5262	13	4	serve	serve	VERB
cana-5262	13	5	as	as	ADP
cana-5262	13	6	a	a	DET
cana-5262	13	7	vital	vital	ADJ
cana-5262	13	8	component	component	NOUN
cana-5262	13	9	of	of	ADP
cana-5262	13	10	network	network	NOUN
cana-5262	13	11	security	security	NOUN
cana-5262	13	12	,	,	PUNCT
cana-5262	13	13	aiming	aim	VERB
cana-5262	13	14	to	to	PART
cana-5262	13	15	identify	identify	VERB
cana-5262	13	16	and	and	CCONJ
cana-5262	13	17	mitigate	mitigate	VERB
cana-5262	13	18	unauthorized	unauthorized	ADJ
cana-5262	13	19	access	access	NOUN
cana-5262	13	20	or	or	CCONJ
cana-5262	13	21	malicious	malicious	ADJ
cana-5262	13	22	activities	activity	NOUN
cana-5262	13	23	within	within	ADP
cana-5262	13	24	a	a	DET
cana-5262	13	25	network	network	NOUN
cana-5262	13	26	.	.	PUNCT
cana-5262	14	1	conventional	conventional	ADJ
cana-5262	14	2	ids	id	NOUN
cana-5262	14	3	approaches	approach	NOUN
cana-5262	14	4	often	often	ADV
cana-5262	14	5	rely	rely	VERB
cana-5262	14	6	on	on	ADP
cana-5262	14	7	signature	signature	NOUN
cana-5262	14	8	-	-	PUNCT
cana-5262	14	9	based	base	VERB
cana-5262	14	10	or	or	CCONJ
cana-5262	14	11	anomaly	anomaly	NOUN
cana-5262	14	12	-	-	PUNCT
cana-5262	14	13	based	base	VERB
cana-5262	14	14	detection	detection	NOUN
cana-5262	14	15	methods	method	NOUN
cana-5262	14	16	,	,	PUNCT
cana-5262	14	17	which	which	PRON
cana-5262	14	18	can	can	AUX
cana-5262	14	19	be	be	AUX
cana-5262	14	20	limited	limit	VERB
cana-5262	14	21	in	in	ADP
cana-5262	14	22	their	their	PRON
cana-5262	14	23	effectiveness	effectiveness	NOUN
cana-5262	14	24	in	in	ADP
cana-5262	14	25	detecting	detect	VERB
cana-5262	14	26	sophisticated	sophisticated	ADJ
cana-5262	14	27	or	or	CCONJ
cana-5262	14	28	unknown	unknown	ADJ
cana-5262	14	29	attacks	attack	NOUN
cana-5262	14	30	.	.	PUNCT
cana-5262	15	1	to	to	PART
cana-5262	15	2	address	address	VERB
cana-5262	15	3	these	these	DET
cana-5262	15	4	limitations	limitation	NOUN
cana-5262	15	5	,	,	PUNCT
cana-5262	15	6	researchers	researcher	NOUN
cana-5262	15	7	have	have	AUX
cana-5262	15	8	increasingly	increasingly	ADV
cana-5262	15	9	turned	turn	VERB
cana-5262	15	10	to	to	ADP
cana-5262	15	11	machine	machine	NOUN
cana-5262	15	12	learning	learning	NOUN
cana-5262	15	13	and	and	CCONJ
cana-5262	15	14	deep	deep	ADJ
cana-5262	15	15	learning	learning	NOUN
cana-5262	15	16	algorithms	algorithm	NOUN
cana-5262	15	17	,	,	PUNCT
cana-5262	15	18	which	which	PRON
cana-5262	15	19	can	can	AUX
cana-5262	15	20	adapt	adapt	VERB
cana-5262	15	21	to	to	ADP
cana-5262	15	22	new	new	ADJ
cana-5262	15	23	and	and	CCONJ
cana-5262	15	24	evolving	evolve	VERB
cana-5262	15	25	attack	attack	NOUN
cana-5262	15	26	patterns	pattern	NOUN
cana-5262	15	27	and	and	CCONJ
cana-5262	15	28	provide	provide	VERB
cana-5262	15	29	more	more	ADV
cana-5262	15	30	accurate	accurate	ADJ
cana-5262	15	31	and	and	CCONJ
cana-5262	15	32	real	real	ADJ
cana-5262	15	33	-	-	PUNCT
cana-5262	15	34	time	time	NOUN
cana-5262	15	35	detection	detection	NOUN
cana-5262	15	36	.	.	PUNCT
cana-5262	16	1	mailto:ajaysoni426@gmail.com	mailto:ajaysoni426@gmail.com	X
cana-5262	16	2	mailto:zubairahmedkhanresearch@gmail.com	mailto:zubairahmedkhanresearch@gmail.com	X
cana-5262	17	1	communications	communication	NOUN
cana-5262	17	2	on	on	ADP
cana-5262	17	3	applied	apply	VERB
cana-5262	17	4	nonlinear	nonlinear	ADJ
cana-5262	17	5	analysis	analysis	NOUN
cana-5262	17	6	issn	issn	NOUN
cana-5262	17	7	:	:	PUNCT
cana-5262	17	8	1074	1074	NUM
cana-5262	17	9	-	-	PUNCT
cana-5262	17	10	133x	133x	NUM
cana-5262	17	11	vol	vol	VERB
cana-5262	17	12	32	32	NUM
cana-5262	17	13	no	no	NOUN
cana-5262	17	14	.	.	PUNCT
cana-5262	18	1	10s	10	NOUN
cana-5262	18	2	(	(	PUNCT
cana-5262	18	3	2025	2025	NUM
cana-5262	18	4	)	)	PUNCT
cana-5262	18	5	1590	1590	NUM
cana-5262	18	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	19	1	this	this	DET
cana-5262	19	2	research	research	NOUN
cana-5262	19	3	aims	aim	VERB
cana-5262	19	4	to	to	PART
cana-5262	19	5	explore	explore	VERB
cana-5262	19	6	the	the	DET
cana-5262	19	7	application	application	NOUN
cana-5262	19	8	of	of	ADP
cana-5262	19	9	advanced	advanced	ADJ
cana-5262	19	10	machine	machine	NOUN
cana-5262	19	11	learning	learn	VERB
cana-5262	19	12	techniques	technique	NOUN
cana-5262	19	13	for	for	ADP
cana-5262	19	14	intrusion	intrusion	NOUN
cana-5262	19	15	detection	detection	NOUN
cana-5262	19	16	in	in	ADP
cana-5262	19	17	iot	iot	PROPN
cana-5262	19	18	networks	network	NOUN
cana-5262	19	19	,	,	PUNCT
cana-5262	19	20	with	with	ADP
cana-5262	19	21	a	a	DET
cana-5262	19	22	focus	focus	NOUN
cana-5262	19	23	on	on	ADP
cana-5262	19	24	enhancing	enhance	VERB
cana-5262	19	25	the	the	DET
cana-5262	19	26	detection	detection	NOUN
cana-5262	19	27	capabilities	capability	NOUN
cana-5262	19	28	while	while	SCONJ
cana-5262	19	29	minimizing	minimize	VERB
cana-5262	19	30	false	false	ADJ
cana-5262	19	31	positives	positive	NOUN
cana-5262	19	32	and	and	CCONJ
cana-5262	19	33	resource	resource	NOUN
cana-5262	19	34	consumption	consumption	NOUN
cana-5262	19	35	.	.	PUNCT
cana-5262	20	1	specifically	specifically	ADV
cana-5262	20	2	,	,	PUNCT
cana-5262	20	3	this	this	DET
cana-5262	20	4	paper	paper	NOUN
cana-5262	20	5	investigates	investigate	VERB
cana-5262	20	6	the	the	DET
cana-5262	20	7	use	use	NOUN
cana-5262	20	8	of	of	ADP
cana-5262	20	9	a	a	DET
cana-5262	20	10	hybrid	hybrid	ADJ
cana-5262	20	11	approach	approach	NOUN
cana-5262	20	12	that	that	PRON
cana-5262	20	13	combines	combine	VERB
cana-5262	20	14	preprocessing	preprocessing	NOUN
cana-5262	20	15	,	,	PUNCT
cana-5262	20	16	feature	feature	NOUN
cana-5262	20	17	engineering	engineering	NOUN
cana-5262	20	18	,	,	PUNCT
cana-5262	20	19	optimization	optimization	NOUN
cana-5262	20	20	algorithms	algorithm	NOUN
cana-5262	20	21	,	,	PUNCT
cana-5262	20	22	and	and	CCONJ
cana-5262	20	23	classification	classification	NOUN
cana-5262	20	24	models	model	NOUN
cana-5262	20	25	to	to	PART
cana-5262	20	26	develop	develop	VERB
cana-5262	20	27	a	a	DET
cana-5262	20	28	more	more	ADV
cana-5262	20	29	efficient	efficient	ADJ
cana-5262	20	30	and	and	CCONJ
cana-5262	20	31	accurate	accurate	ADJ
cana-5262	20	32	ids	id	NOUN
cana-5262	20	33	for	for	ADP
cana-5262	20	34	iot	iot	NOUN
cana-5262	20	35	networks	network	NOUN
cana-5262	20	36	.	.	PUNCT
cana-5262	21	1	the	the	DET
cana-5262	21	2	main	main	ADJ
cana-5262	21	3	objectives	objective	NOUN
cana-5262	21	4	of	of	ADP
cana-5262	21	5	this	this	DET
cana-5262	21	6	study	study	NOUN
cana-5262	21	7	are	be	AUX
cana-5262	21	8	to	to	PART
cana-5262	21	9	:	:	PUNCT
cana-5262	21	10	•	•	VERB
cana-5262	21	11	investigate	investigate	VERB
cana-5262	21	12	the	the	DET
cana-5262	21	13	use	use	NOUN
cana-5262	21	14	of	of	ADP
cana-5262	21	15	preprocessing	preprocesse	VERB
cana-5262	21	16	techniques	technique	NOUN
cana-5262	21	17	for	for	ADP
cana-5262	21	18	handling	handle	VERB
cana-5262	21	19	iot	iot	ADJ
cana-5262	21	20	-	-	PUNCT
cana-5262	21	21	specific	specific	ADJ
cana-5262	21	22	challenges	challenge	NOUN
cana-5262	21	23	such	such	ADJ
cana-5262	21	24	as	as	ADP
cana-5262	21	25	missing	miss	VERB
cana-5262	21	26	data	datum	NOUN
cana-5262	21	27	,	,	PUNCT
cana-5262	21	28	outliers	outlier	NOUN
cana-5262	21	29	,	,	PUNCT
cana-5262	21	30	and	and	CCONJ
cana-5262	21	31	imbalanced	imbalanced	ADJ
cana-5262	21	32	datasets	dataset	NOUN
cana-5262	21	33	.	.	PUNCT
cana-5262	22	1	•	•	PUNCT
cana-5262	22	2	develop	develop	VERB
cana-5262	22	3	an	an	DET
cana-5262	22	4	optimized	optimize	VERB
cana-5262	22	5	feature	feature	NOUN
cana-5262	22	6	selection	selection	NOUN
cana-5262	22	7	method	method	NOUN
cana-5262	22	8	using	use	VERB
cana-5262	22	9	the	the	DET
cana-5262	22	10	improved	improved	ADJ
cana-5262	22	11	grey	grey	NOUN
cana-5262	22	12	wolf	wolf	PROPN
cana-5262	22	13	optimizer	optimizer	NOUN
cana-5262	22	14	(	(	PUNCT
cana-5262	22	15	igwo	igwo	PROPN
cana-5262	22	16	)	)	PUNCT
cana-5262	22	17	to	to	PART
cana-5262	22	18	enhance	enhance	VERB
cana-5262	22	19	the	the	DET
cana-5262	22	20	performance	performance	NOUN
cana-5262	22	21	of	of	ADP
cana-5262	22	22	the	the	DET
cana-5262	22	23	ids	id	NOUN
cana-5262	22	24	.	.	PUNCT
cana-5262	22	25	•	•	NUM
cana-5262	22	26	evaluate	evaluate	VERB
cana-5262	22	27	the	the	DET
cana-5262	22	28	performance	performance	NOUN
cana-5262	22	29	of	of	ADP
cana-5262	22	30	the	the	DET
cana-5262	22	31	proposed	propose	VERB
cana-5262	22	32	ids	id	NOUN
cana-5262	22	33	using	use	VERB
cana-5262	22	34	various	various	ADJ
cana-5262	22	35	machine	machine	NOUN
cana-5262	22	36	learning	learn	VERB
cana-5262	22	37	classification	classification	NOUN
cana-5262	22	38	algorithms	algorithm	NOUN
cana-5262	22	39	,	,	PUNCT
cana-5262	22	40	such	such	ADJ
cana-5262	22	41	as	as	ADP
cana-5262	22	42	random	random	ADJ
cana-5262	22	43	forest	forest	NOUN
cana-5262	22	44	,	,	PUNCT
cana-5262	22	45	and	and	CCONJ
cana-5262	22	46	assess	assess	VERB
cana-5262	22	47	their	their	PRON
cana-5262	22	48	effectiveness	effectiveness	NOUN
cana-5262	22	49	in	in	ADP
cana-5262	22	50	realworld	realworld	PROPN
cana-5262	22	51	iot	iot	PROPN
cana-5262	22	52	network	network	NOUN
cana-5262	22	53	scenarios	scenario	NOUN
cana-5262	22	54	.	.	PUNCT
cana-5262	23	1	the	the	DET
cana-5262	23	2	remainder	remainder	NOUN
cana-5262	23	3	of	of	ADP
cana-5262	23	4	this	this	DET
cana-5262	23	5	paper	paper	NOUN
cana-5262	23	6	is	be	AUX
cana-5262	23	7	structured	structure	VERB
cana-5262	23	8	as	as	SCONJ
cana-5262	23	9	follows	follow	VERB
cana-5262	23	10	:	:	PUNCT
cana-5262	23	11	chapter	chapter	NOUN
cana-5262	23	12	2	2	NUM
cana-5262	23	13	presents	present	VERB
cana-5262	23	14	a	a	DET
cana-5262	23	15	comprehensive	comprehensive	ADJ
cana-5262	23	16	literature	literature	NOUN
cana-5262	23	17	review	review	NOUN
cana-5262	23	18	,	,	PUNCT
cana-5262	23	19	discussing	discuss	VERB
cana-5262	23	20	existing	exist	VERB
cana-5262	23	21	intrusion	intrusion	NOUN
cana-5262	23	22	detection	detection	NOUN
cana-5262	23	23	methods	method	NOUN
cana-5262	23	24	and	and	CCONJ
cana-5262	23	25	the	the	DET
cana-5262	23	26	role	role	NOUN
cana-5262	23	27	of	of	ADP
cana-5262	23	28	machine	machine	NOUN
cana-5262	23	29	learning	learn	VERB
cana-5262	23	30	in	in	ADP
cana-5262	23	31	enhancing	enhance	VERB
cana-5262	23	32	security	security	NOUN
cana-5262	23	33	in	in	ADP
cana-5262	23	34	iot	iot	ADJ
cana-5262	23	35	environments	environment	NOUN
cana-5262	23	36	.	.	PUNCT
cana-5262	24	1	chapter	chapter	NOUN
cana-5262	24	2	3	3	NUM
cana-5262	24	3	describes	describe	VERB
cana-5262	24	4	the	the	DET
cana-5262	24	5	methodology	methodology	NOUN
cana-5262	24	6	adopted	adopt	VERB
cana-5262	24	7	for	for	ADP
cana-5262	24	8	this	this	DET
cana-5262	24	9	research	research	NOUN
cana-5262	24	10	,	,	PUNCT
cana-5262	24	11	including	include	VERB
cana-5262	24	12	data	datum	NOUN
cana-5262	24	13	preprocessing	preprocessing	NOUN
cana-5262	24	14	,	,	PUNCT
cana-5262	24	15	feature	feature	NOUN
cana-5262	24	16	engineering	engineering	NOUN
cana-5262	24	17	,	,	PUNCT
cana-5262	24	18	optimization	optimization	NOUN
cana-5262	24	19	,	,	PUNCT
cana-5262	24	20	and	and	CCONJ
cana-5262	24	21	classification	classification	NOUN
cana-5262	24	22	techniques	technique	NOUN
cana-5262	24	23	.	.	PUNCT
cana-5262	25	1	chapter	chapter	NOUN
cana-5262	25	2	4	4	NUM
cana-5262	25	3	presents	present	VERB
cana-5262	25	4	the	the	DET
cana-5262	25	5	experimental	experimental	ADJ
cana-5262	25	6	setup	setup	NOUN
cana-5262	25	7	,	,	PUNCT
cana-5262	25	8	results	result	NOUN
cana-5262	25	9	,	,	PUNCT
cana-5262	25	10	and	and	CCONJ
cana-5262	25	11	performance	performance	NOUN
cana-5262	25	12	evaluations	evaluation	NOUN
cana-5262	25	13	.	.	PUNCT
cana-5262	26	1	finally	finally	ADV
cana-5262	26	2	,	,	PUNCT
cana-5262	26	3	chapter	chapter	NOUN
cana-5262	26	4	5	5	NUM
cana-5262	26	5	discusses	discuss	VERB
cana-5262	26	6	the	the	DET
cana-5262	26	7	conclusions	conclusion	NOUN
cana-5262	26	8	drawn	draw	VERB
cana-5262	26	9	from	from	ADP
cana-5262	26	10	the	the	DET
cana-5262	26	11	study	study	NOUN
cana-5262	26	12	and	and	CCONJ
cana-5262	26	13	outlines	outline	VERB
cana-5262	26	14	potential	potential	ADJ
cana-5262	26	15	future	future	ADJ
cana-5262	26	16	work	work	NOUN
cana-5262	26	17	in	in	ADP
cana-5262	26	18	this	this	DET
cana-5262	26	19	area	area	NOUN
cana-5262	26	20	.	.	PUNCT
cana-5262	27	1	by	by	ADP
cana-5262	27	2	advancing	advance	VERB
cana-5262	27	3	the	the	DET
cana-5262	27	4	state	state	NOUN
cana-5262	27	5	-	-	PUNCT
cana-5262	27	6	of	of	ADP
cana-5262	27	7	-	-	PUNCT
cana-5262	27	8	the	the	DET
cana-5262	27	9	-	-	PUNCT
cana-5262	27	10	art	art	NOUN
cana-5262	27	11	in	in	ADP
cana-5262	27	12	iot	iot	PROPN
cana-5262	27	13	intrusion	intrusion	NOUN
cana-5262	27	14	detection	detection	NOUN
cana-5262	27	15	,	,	PUNCT
cana-5262	27	16	this	this	DET
cana-5262	27	17	research	research	NOUN
cana-5262	27	18	contributes	contribute	VERB
cana-5262	27	19	to	to	ADP
cana-5262	27	20	the	the	DET
cana-5262	27	21	growing	grow	VERB
cana-5262	27	22	body	body	NOUN
cana-5262	27	23	of	of	ADP
cana-5262	27	24	knowledge	knowledge	NOUN
cana-5262	27	25	on	on	ADP
cana-5262	27	26	securing	secure	VERB
cana-5262	27	27	iot	iot	PROPN
cana-5262	27	28	networks	network	NOUN
cana-5262	27	29	and	and	CCONJ
cana-5262	27	30	provides	provide	VERB
cana-5262	27	31	a	a	DET
cana-5262	27	32	foundation	foundation	NOUN
cana-5262	27	33	for	for	ADP
cana-5262	27	34	future	future	ADJ
cana-5262	27	35	efforts	effort	NOUN
cana-5262	27	36	aimed	aim	VERB
cana-5262	27	37	at	at	ADP
cana-5262	27	38	developing	develop	VERB
cana-5262	27	39	more	more	ADV
cana-5262	27	40	adaptive	adaptive	ADJ
cana-5262	27	41	,	,	PUNCT
cana-5262	27	42	intelligent	intelligent	ADJ
cana-5262	27	43	,	,	PUNCT
cana-5262	27	44	and	and	CCONJ
cana-5262	27	45	efficient	efficient	ADJ
cana-5262	27	46	cybersecurity	cybersecurity	NOUN
cana-5262	27	47	solutions	solution	NOUN
cana-5262	27	48	for	for	ADP
cana-5262	27	49	the	the	DET
cana-5262	27	50	iot	iot	PROPN
cana-5262	27	51	ecosystem	ecosystem	NOUN
cana-5262	27	52	.	.	PUNCT
cana-5262	28	1	2	2	NUM
cana-5262	28	2	literature	literature	NOUN
cana-5262	28	3	review	review	VERB
cana-5262	28	4	the	the	DET
cana-5262	28	5	field	field	NOUN
cana-5262	28	6	of	of	ADP
cana-5262	28	7	intrusion	intrusion	NOUN
cana-5262	28	8	detection	detection	NOUN
cana-5262	28	9	in	in	ADP
cana-5262	28	10	internet	internet	NOUN
cana-5262	28	11	of	of	ADP
cana-5262	28	12	things	thing	NOUN
cana-5262	28	13	(	(	PUNCT
cana-5262	28	14	iot	iot	NOUN
cana-5262	28	15	)	)	PUNCT
cana-5262	28	16	networks	network	NOUN
cana-5262	28	17	has	have	AUX
cana-5262	28	18	seen	see	VERB
cana-5262	28	19	significant	significant	ADJ
cana-5262	28	20	advancements	advancement	NOUN
cana-5262	28	21	,	,	PUNCT
cana-5262	28	22	particularly	particularly	ADV
cana-5262	28	23	with	with	ADP
cana-5262	28	24	the	the	DET
cana-5262	28	25	incorporation	incorporation	NOUN
cana-5262	28	26	of	of	ADP
cana-5262	28	27	machine	machine	NOUN
cana-5262	28	28	learning	learning	NOUN
cana-5262	28	29	,	,	PUNCT
cana-5262	28	30	deep	deep	ADJ
cana-5262	28	31	learning	learning	NOUN
cana-5262	28	32	,	,	PUNCT
cana-5262	28	33	and	and	CCONJ
cana-5262	28	34	optimization	optimization	NOUN
cana-5262	28	35	techniques	technique	NOUN
cana-5262	28	36	.	.	PUNCT
cana-5262	29	1	the	the	DET
cana-5262	29	2	increasing	increase	VERB
cana-5262	29	3	complexity	complexity	NOUN
cana-5262	29	4	and	and	CCONJ
cana-5262	29	5	scale	scale	NOUN
cana-5262	29	6	of	of	ADP
cana-5262	29	7	iot	iot	PROPN
cana-5262	29	8	networks	network	NOUN
cana-5262	29	9	necessitate	necessitate	ADJ
cana-5262	29	10	the	the	DET
cana-5262	29	11	development	development	NOUN
cana-5262	29	12	of	of	ADP
cana-5262	29	13	more	more	ADV
cana-5262	29	14	robust	robust	ADJ
cana-5262	29	15	and	and	CCONJ
cana-5262	29	16	efficient	efficient	ADJ
cana-5262	29	17	systems	system	NOUN
cana-5262	29	18	to	to	PART
cana-5262	29	19	detect	detect	VERB
cana-5262	29	20	malicious	malicious	ADJ
cana-5262	29	21	activities	activity	NOUN
cana-5262	29	22	.	.	PUNCT
cana-5262	30	1	several	several	ADJ
cana-5262	30	2	studies	study	NOUN
cana-5262	30	3	have	have	AUX
cana-5262	30	4	explored	explore	VERB
cana-5262	30	5	innovative	innovative	ADJ
cana-5262	30	6	methodologies	methodology	NOUN
cana-5262	30	7	,	,	PUNCT
cana-5262	30	8	combining	combine	VERB
cana-5262	30	9	different	different	ADJ
cana-5262	30	10	models	model	NOUN
cana-5262	30	11	and	and	CCONJ
cana-5262	30	12	algorithms	algorithm	NOUN
cana-5262	30	13	to	to	PART
cana-5262	30	14	address	address	VERB
cana-5262	30	15	the	the	DET
cana-5262	30	16	unique	unique	ADJ
cana-5262	30	17	challenges	challenge	NOUN
cana-5262	30	18	posed	pose	VERB
cana-5262	30	19	by	by	ADP
cana-5262	30	20	iot	iot	ADJ
cana-5262	30	21	environments	environment	NOUN
cana-5262	30	22	,	,	PUNCT
cana-5262	30	23	such	such	ADJ
cana-5262	30	24	as	as	ADP
cana-5262	30	25	data	datum	NOUN
cana-5262	30	26	heterogeneity	heterogeneity	NOUN
cana-5262	30	27	,	,	PUNCT
cana-5262	30	28	resource	resource	NOUN
cana-5262	30	29	constraints	constraint	NOUN
cana-5262	30	30	,	,	PUNCT
cana-5262	30	31	and	and	CCONJ
cana-5262	30	32	the	the	DET
cana-5262	30	33	need	need	NOUN
cana-5262	30	34	for	for	ADP
cana-5262	30	35	real	real	ADJ
cana-5262	30	36	-	-	PUNCT
cana-5262	30	37	time	time	NOUN
cana-5262	30	38	processing	processing	NOUN
cana-5262	30	39	.	.	PUNCT
cana-5262	31	1	ahmad	ahmad	PROPN
cana-5262	31	2	et	et	PROPN
cana-5262	31	3	al	al	PROPN
cana-5262	31	4	.	.	PROPN
cana-5262	32	1	(	(	PUNCT
cana-5262	32	2	2022	2022	NUM
cana-5262	32	3	)	)	PUNCT
cana-5262	32	4	introduced	introduce	VERB
cana-5262	32	5	a	a	DET
cana-5262	32	6	novel	novel	ADJ
cana-5262	32	7	approach	approach	NOUN
cana-5262	32	8	using	use	VERB
cana-5262	32	9	a	a	DET
cana-5262	32	10	deep	deep	ADJ
cana-5262	32	11	random	random	ADJ
cana-5262	32	12	neural	neural	ADJ
cana-5262	32	13	network	network	NOUN
cana-5262	32	14	(	(	PUNCT
cana-5262	32	15	drann	drann	PROPN
cana-5262	32	16	)	)	PUNCT
cana-5262	32	17	optimized	optimize	VERB
cana-5262	32	18	with	with	ADP
cana-5262	32	19	particle	particle	NOUN
cana-5262	32	20	swarm	swarm	NOUN
cana-5262	32	21	optimization	optimization	NOUN
cana-5262	32	22	(	(	PUNCT
cana-5262	32	23	pso	pso	NOUN
cana-5262	32	24	)	)	PUNCT
cana-5262	32	25	to	to	PART
cana-5262	32	26	enhance	enhance	VERB
cana-5262	32	27	detection	detection	NOUN
cana-5262	32	28	accuracy	accuracy	NOUN
cana-5262	32	29	and	and	CCONJ
cana-5262	32	30	speed	speed	NOUN
cana-5262	32	31	in	in	ADP
cana-5262	32	32	industrial	industrial	ADJ
cana-5262	32	33	iot	iot	NOUN
cana-5262	32	34	networks	network	NOUN
cana-5262	32	35	.	.	PUNCT
cana-5262	33	1	similarly	similarly	ADV
cana-5262	33	2	,	,	PUNCT
cana-5262	33	3	almiani	almiani	PROPN
cana-5262	33	4	et	et	PROPN
cana-5262	33	5	al	al	PROPN
cana-5262	33	6	.	.	PROPN
cana-5262	33	7	(	(	PUNCT
cana-5262	33	8	2020	2020	NUM
cana-5262	33	9	)	)	PUNCT
cana-5262	33	10	proposed	propose	VERB
cana-5262	33	11	a	a	DET
cana-5262	33	12	deep	deep	ADJ
cana-5262	33	13	recurrent	recurrent	ADJ
cana-5262	33	14	neural	neural	ADJ
cana-5262	33	15	network	network	NOUN
cana-5262	33	16	(	(	PUNCT
cana-5262	33	17	rnn	rnn	PROPN
cana-5262	33	18	)	)	PUNCT
cana-5262	33	19	to	to	PART
cana-5262	33	20	capture	capture	VERB
cana-5262	33	21	temporal	temporal	ADJ
cana-5262	33	22	patterns	pattern	NOUN
cana-5262	33	23	in	in	ADP
cana-5262	33	24	iot	iot	PROPN
cana-5262	33	25	network	network	NOUN
cana-5262	33	26	traffic	traffic	NOUN
cana-5262	33	27	,	,	PUNCT
cana-5262	33	28	improving	improve	VERB
cana-5262	33	29	the	the	DET
cana-5262	33	30	detection	detection	NOUN
cana-5262	33	31	of	of	ADP
cana-5262	33	32	both	both	CCONJ
cana-5262	33	33	known	known	ADJ
cana-5262	33	34	and	and	CCONJ
cana-5262	33	35	unknown	unknown	ADJ
cana-5262	33	36	attacks	attack	NOUN
cana-5262	33	37	.	.	PUNCT
cana-5262	34	1	in	in	ADP
cana-5262	34	2	parallel	parallel	NOUN
cana-5262	34	3	,	,	PUNCT
cana-5262	34	4	atlam	atlam	NOUN
cana-5262	34	5	and	and	CCONJ
cana-5262	34	6	wills	will	NOUN
cana-5262	34	7	(	(	PUNCT
cana-5262	34	8	2020	2020	NUM
cana-5262	34	9	)	)	PUNCT
cana-5262	34	10	provided	provide	VERB
cana-5262	34	11	an	an	DET
cana-5262	34	12	extensive	extensive	ADJ
cana-5262	34	13	theoretical	theoretical	ADJ
cana-5262	34	14	analysis	analysis	NOUN
cana-5262	34	15	of	of	ADP
cana-5262	34	16	iot	iot	ADJ
cana-5262	34	17	security	security	NOUN
cana-5262	34	18	,	,	PUNCT
cana-5262	34	19	privacy	privacy	NOUN
cana-5262	34	20	,	,	PUNCT
cana-5262	34	21	and	and	CCONJ
cana-5262	34	22	safety	safety	NOUN
cana-5262	34	23	,	,	PUNCT
cana-5262	34	24	emphasizing	emphasize	VERB
cana-5262	34	25	the	the	DET
cana-5262	34	26	importance	importance	NOUN
cana-5262	34	27	of	of	ADP
cana-5262	34	28	a	a	DET
cana-5262	34	29	comprehensive	comprehensive	ADJ
cana-5262	34	30	approach	approach	NOUN
cana-5262	34	31	in	in	ADP
cana-5262	34	32	securing	secure	VERB
cana-5262	34	33	smart	smart	ADJ
cana-5262	34	34	cities	city	NOUN
cana-5262	34	35	and	and	CCONJ
cana-5262	34	36	iot	iot	ADJ
cana-5262	34	37	environments	environment	NOUN
cana-5262	34	38	.	.	PUNCT
cana-5262	35	1	ayo	ayo	PROPN
cana-5262	35	2	et	et	PROPN
cana-5262	35	3	al	al	PROPN
cana-5262	35	4	.	.	PROPN
cana-5262	35	5	(	(	PUNCT
cana-5262	35	6	2020	2020	NUM
cana-5262	35	7	)	)	PUNCT
cana-5262	35	8	took	take	VERB
cana-5262	35	9	a	a	DET
cana-5262	35	10	hybrid	hybrid	ADJ
cana-5262	35	11	approach	approach	NOUN
cana-5262	35	12	,	,	PUNCT
cana-5262	35	13	combining	combine	VERB
cana-5262	35	14	deep	deep	ADJ
cana-5262	35	15	learning	learning	NOUN
cana-5262	35	16	with	with	ADP
cana-5262	35	17	rule	rule	NOUN
cana-5262	35	18	-	-	PUNCT
cana-5262	35	19	based	base	VERB
cana-5262	35	20	feature	feature	NOUN
cana-5262	35	21	selection	selection	NOUN
cana-5262	35	22	to	to	PART
cana-5262	35	23	improve	improve	VERB
cana-5262	35	24	the	the	DET
cana-5262	35	25	detection	detection	NOUN
cana-5262	35	26	accuracy	accuracy	NOUN
cana-5262	35	27	and	and	CCONJ
cana-5262	35	28	reduce	reduce	VERB
cana-5262	35	29	false	false	ADJ
cana-5262	35	30	positives	positive	NOUN
cana-5262	35	31	in	in	ADP
cana-5262	35	32	iot	iot	NOUN
cana-5262	35	33	networks	network	NOUN
cana-5262	35	34	.	.	PUNCT
cana-5262	36	1	booij	booij	PROPN
cana-5262	36	2	et	et	PROPN
cana-5262	36	3	al	al	PROPN
cana-5262	36	4	.	.	PROPN
cana-5262	37	1	(	(	PUNCT
cana-5262	37	2	2021	2021	NUM
cana-5262	37	3	)	)	PUNCT
cana-5262	37	4	communications	communication	NOUN
cana-5262	37	5	on	on	ADP
cana-5262	37	6	applied	apply	VERB
cana-5262	37	7	nonlinear	nonlinear	ADJ
cana-5262	37	8	analysis	analysis	NOUN
cana-5262	37	9	issn	issn	NOUN
cana-5262	37	10	:	:	PUNCT
cana-5262	37	11	1074	1074	NUM
cana-5262	37	12	-	-	PUNCT
cana-5262	37	13	133x	133x	NUM
cana-5262	37	14	vol	vol	VERB
cana-5262	37	15	32	32	NUM
cana-5262	37	16	no	no	NOUN
cana-5262	37	17	.	.	PUNCT
cana-5262	38	1	10s	10	NOUN
cana-5262	38	2	(	(	PUNCT
cana-5262	38	3	2025	2025	NUM
cana-5262	38	4	)	)	PUNCT
cana-5262	38	5	1591	1591	NUM
cana-5262	38	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	38	7	focused	focus	VERB
cana-5262	38	8	on	on	ADP
cana-5262	38	9	the	the	DET
cana-5262	38	10	heterogeneity	heterogeneity	NOUN
cana-5262	38	11	of	of	ADP
cana-5262	38	12	iot	iot	ADJ
cana-5262	38	13	network	network	NOUN
cana-5262	38	14	datasets	dataset	NOUN
cana-5262	38	15	,	,	PUNCT
cana-5262	38	16	proposing	propose	VERB
cana-5262	38	17	the	the	DET
cana-5262	38	18	standardization	standardization	NOUN
cana-5262	38	19	of	of	ADP
cana-5262	38	20	attack	attack	NOUN
cana-5262	38	21	types	type	NOUN
cana-5262	38	22	and	and	CCONJ
cana-5262	38	23	features	feature	NOUN
cana-5262	38	24	to	to	PART
cana-5262	38	25	improve	improve	VERB
cana-5262	38	26	the	the	DET
cana-5262	38	27	overall	overall	ADJ
cana-5262	38	28	performance	performance	NOUN
cana-5262	38	29	of	of	ADP
cana-5262	38	30	intrusion	intrusion	NOUN
cana-5262	38	31	detection	detection	NOUN
cana-5262	38	32	systems	system	NOUN
cana-5262	38	33	.	.	PUNCT
cana-5262	39	1	in	in	ADP
cana-5262	39	2	addition	addition	NOUN
cana-5262	39	3	,	,	PUNCT
cana-5262	39	4	cao	cao	PROPN
cana-5262	39	5	et	et	PROPN
cana-5262	39	6	al	al	PROPN
cana-5262	39	7	.	.	PROPN
cana-5262	39	8	(	(	PUNCT
cana-5262	39	9	2020	2020	NUM
cana-5262	39	10	)	)	PUNCT
cana-5262	39	11	proposed	propose	VERB
cana-5262	39	12	an	an	DET
cana-5262	39	13	optimized	optimize	VERB
cana-5262	39	14	blockchain	blockchain	PROPN
cana-5262	39	15	model	model	NOUN
cana-5262	39	16	for	for	ADP
cana-5262	39	17	industrial	industrial	ADJ
cana-5262	39	18	iot	iot	NOUN
cana-5262	39	19	,	,	PUNCT
cana-5262	39	20	aiming	aim	VERB
cana-5262	39	21	to	to	PART
cana-5262	39	22	improve	improve	VERB
cana-5262	39	23	scalability	scalability	NOUN
cana-5262	39	24	,	,	PUNCT
cana-5262	39	25	decentralization	decentralization	NOUN
cana-5262	39	26	,	,	PUNCT
cana-5262	39	27	and	and	CCONJ
cana-5262	39	28	privacy	privacy	NOUN
cana-5262	39	29	while	while	SCONJ
cana-5262	39	30	addressing	address	VERB
cana-5262	39	31	the	the	DET
cana-5262	39	32	security	security	NOUN
cana-5262	39	33	challenges	challenge	NOUN
cana-5262	39	34	faced	face	VERB
cana-5262	39	35	by	by	ADP
cana-5262	39	36	iiot	iiot	NOUN
cana-5262	39	37	systems	system	NOUN
cana-5262	39	38	.	.	PUNCT
cana-5262	40	1	furthermore	furthermore	ADV
cana-5262	40	2	,	,	PUNCT
cana-5262	40	3	cao	cao	PROPN
cana-5262	40	4	et	et	PROPN
cana-5262	40	5	al	al	PROPN
cana-5262	40	6	.	.	PROPN
cana-5262	40	7	(	(	PUNCT
cana-5262	40	8	2021	2021	NUM
cana-5262	40	9	)	)	PUNCT
cana-5262	40	10	explored	explore	VERB
cana-5262	40	11	reliable	reliable	ADJ
cana-5262	40	12	and	and	CCONJ
cana-5262	40	13	secure	secure	ADJ
cana-5262	40	14	communications	communication	NOUN
cana-5262	40	15	in	in	ADP
cana-5262	40	16	wireless	wireless	NOUN
cana-5262	40	17	-	-	PUNCT
cana-5262	40	18	powered	power	VERB
cana-5262	40	19	noma	noma	PROPN
cana-5262	40	20	systems	system	NOUN
cana-5262	40	21	,	,	PUNCT
cana-5262	40	22	proposing	propose	VERB
cana-5262	40	23	a	a	DET
cana-5262	40	24	joint	joint	ADJ
cana-5262	40	25	artificial	artificial	ADJ
cana-5262	40	26	noise	noise	NOUN
cana-5262	40	27	and	and	CCONJ
cana-5262	40	28	power	power	NOUN
cana-5262	40	29	allocation	allocation	NOUN
cana-5262	40	30	scheme	scheme	NOUN
cana-5262	40	31	to	to	PART
cana-5262	40	32	enhance	enhance	VERB
cana-5262	40	33	system	system	NOUN
cana-5262	40	34	performance	performance	NOUN
cana-5262	40	35	in	in	ADP
cana-5262	40	36	the	the	DET
cana-5262	40	37	presence	presence	NOUN
cana-5262	40	38	of	of	ADP
cana-5262	40	39	multiple	multiple	ADJ
cana-5262	40	40	eavesdroppers	eavesdropper	NOUN
cana-5262	40	41	.	.	PUNCT
cana-5262	41	1	zhang	zhang	PROPN
cana-5262	41	2	et	et	PROPN
cana-5262	41	3	al	al	PROPN
cana-5262	41	4	.	.	PROPN
cana-5262	41	5	(	(	PUNCT
cana-5262	41	6	2023	2023	NUM
cana-5262	41	7	)	)	PUNCT
cana-5262	41	8	introduced	introduce	VERB
cana-5262	41	9	a	a	DET
cana-5262	41	10	stacked	stack	VERB
cana-5262	41	11	ensemble	ensemble	ADJ
cana-5262	41	12	learning	learning	NOUN
cana-5262	41	13	-	-	PUNCT
cana-5262	41	14	based	base	VERB
cana-5262	41	15	intrusion	intrusion	NOUN
cana-5262	41	16	detection	detection	NOUN
cana-5262	41	17	system	system	NOUN
cana-5262	41	18	,	,	PUNCT
cana-5262	41	19	demonstrating	demonstrate	VERB
cana-5262	41	20	its	its	PRON
cana-5262	41	21	effectiveness	effectiveness	NOUN
cana-5262	41	22	with	with	ADP
cana-5262	41	23	high	high	ADJ
cana-5262	41	24	detection	detection	NOUN
cana-5262	41	25	accuracy	accuracy	NOUN
cana-5262	41	26	on	on	ADP
cana-5262	41	27	iot	iot	ADJ
cana-5262	41	28	datasets	dataset	NOUN
cana-5262	41	29	.	.	PUNCT
cana-5262	42	1	research	research	NOUN
cana-5262	42	2	paper	paper	NOUN
cana-5262	42	3	key	key	NOUN
cana-5262	42	4	findings	finding	NOUN
cana-5262	42	5	methodology	methodology	NOUN
cana-5262	42	6	result	result	VERB
cana-5262	42	7	ahmad	ahmad	PROPN
cana-5262	42	8	j	j	PROPN
cana-5262	42	9	,	,	PUNCT
cana-5262	42	10	shah	shah	PROPN
cana-5262	42	11	sa	sa	PROPN
cana-5262	42	12	,	,	PUNCT
cana-5262	42	13	latif	latif	PROPN
cana-5262	42	14	s	s	PROPN
cana-5262	42	15	,	,	PUNCT
cana-5262	42	16	ahmed	ahmed	PROPN
cana-5262	42	17	f	f	PROPN
cana-5262	42	18	,	,	PUNCT
cana-5262	42	19	zou	zou	PROPN
cana-5262	42	20	z	z	PROPN
cana-5262	42	21	,	,	PUNCT
cana-5262	42	22	pitropakis	pitropaki	VERB
cana-5262	42	23	n	n	X
cana-5262	42	24	(	(	PUNCT
cana-5262	42	25	2022	2022	NUM
cana-5262	42	26	)	)	PUNCT
cana-5262	42	27	improved	improve	VERB
cana-5262	42	28	detection	detection	NOUN
cana-5262	42	29	accuracy	accuracy	NOUN
cana-5262	42	30	and	and	CCONJ
cana-5262	42	31	speed	speed	NOUN
cana-5262	42	32	using	use	VERB
cana-5262	42	33	drann_pso	drann_pso	PROPN
cana-5262	42	34	in	in	ADP
cana-5262	42	35	iiot	iiot	NOUN
cana-5262	42	36	hybrid	hybrid	NOUN
cana-5262	42	37	drann_pso	drann_pso	ADJ
cana-5262	42	38	with	with	ADP
cana-5262	42	39	hyperparameter	hyperparameter	NOUN
cana-5262	42	40	tuning	tune	VERB
cana-5262	42	41	superior	superior	ADJ
cana-5262	42	42	accuracy	accuracy	NOUN
cana-5262	42	43	and	and	CCONJ
cana-5262	42	44	lower	low	ADJ
cana-5262	42	45	false	false	ADJ
cana-5262	42	46	positives	positive	NOUN
cana-5262	42	47	in	in	ADP
cana-5262	42	48	iiot	iiot	NOUN
cana-5262	42	49	almiani	almiani	PROPN
cana-5262	42	50	m	m	PROPN
cana-5262	42	51	,	,	PUNCT
cana-5262	42	52	abughazleh	abughazleh	PROPN
cana-5262	42	53	a	a	PROPN
cana-5262	42	54	,	,	PUNCT
cana-5262	42	55	al	al	PROPN
cana-5262	42	56	-	-	PUNCT
cana-5262	42	57	rahayfeh	rahayfeh	PROPN
cana-5262	42	58	a	a	NOUN
cana-5262	42	59	,	,	PUNCT
cana-5262	42	60	atiewi	atiewi	PROPN
cana-5262	42	61	s	s	PART
cana-5262	42	62	,	,	PUNCT
cana-5262	42	63	razaque	razaque	NOUN
cana-5262	42	64	a	a	DET
cana-5262	42	65	(	(	PUNCT
cana-5262	42	66	2020	2020	NUM
cana-5262	42	67	)	)	PUNCT
cana-5262	42	68	effective	effective	ADJ
cana-5262	42	69	rnn	rnn	NOUN
cana-5262	42	70	for	for	ADP
cana-5262	42	71	capturing	capture	VERB
cana-5262	42	72	iot	iot	ADJ
cana-5262	42	73	attack	attack	NOUN
cana-5262	42	74	patterns	pattern	NOUN
cana-5262	42	75	deep	deep	ADJ
cana-5262	42	76	recurrent	recurrent	ADJ
cana-5262	42	77	neural	neural	ADJ
cana-5262	42	78	networks	network	NOUN
cana-5262	42	79	for	for	ADP
cana-5262	42	80	intrusion	intrusion	NOUN
cana-5262	42	81	detection	detection	NOUN
cana-5262	42	82	improved	improve	VERB
cana-5262	42	83	detection	detection	NOUN
cana-5262	42	84	rate	rate	NOUN
cana-5262	42	85	for	for	ADP
cana-5262	42	86	both	both	CCONJ
cana-5262	42	87	known	know	VERB
cana-5262	42	88	and	and	CCONJ
cana-5262	42	89	unknown	unknown	ADJ
cana-5262	42	90	attacks	attack	NOUN
cana-5262	42	91	atlam	atlam	VERB
cana-5262	42	92	hf	hf	PROPN
cana-5262	42	93	,	,	PUNCT
cana-5262	42	94	wills	will	NOUN
cana-5262	42	95	gb	gb	PRON
cana-5262	42	96	(	(	PUNCT
cana-5262	42	97	2020	2020	NUM
cana-5262	42	98	)	)	PUNCT
cana-5262	42	99	security	security	NOUN
cana-5262	42	100	,	,	PUNCT
cana-5262	42	101	privacy	privacy	NOUN
cana-5262	42	102	,	,	PUNCT
cana-5262	42	103	and	and	CCONJ
cana-5262	42	104	safety	safety	NOUN
cana-5262	42	105	in	in	ADP
cana-5262	42	106	iot	iot	NOUN
cana-5262	42	107	for	for	ADP
cana-5262	42	108	smart	smart	ADJ
cana-5262	42	109	cities	city	NOUN
cana-5262	42	110	theoretical	theoretical	ADJ
cana-5262	42	111	iot	iot	PROPN
cana-5262	42	112	security	security	NOUN
cana-5262	42	113	framework	framework	NOUN
cana-5262	42	114	comprehensive	comprehensive	ADJ
cana-5262	42	115	analysis	analysis	NOUN
cana-5262	42	116	of	of	ADP
cana-5262	42	117	iot	iot	ADJ
cana-5262	42	118	security	security	NOUN
cana-5262	42	119	challenges	challenge	NOUN
cana-5262	42	120	ayo	ayo	PROPN
cana-5262	42	121	fe	fe	PROPN
cana-5262	42	122	,	,	PUNCT
cana-5262	42	123	folorunso	folorunso	VERB
cana-5262	42	124	so	so	ADV
cana-5262	42	125	,	,	PUNCT
cana-5262	42	126	abayomi	abayomi	NOUN
cana-5262	42	127	-	-	PUNCT
cana-5262	42	128	alli	alli	PROPN
cana-5262	42	129	aa	aa	NOUN
cana-5262	42	130	,	,	PUNCT
cana-5262	42	131	adekunle	adekunle	NOUN
cana-5262	42	132	ao	ao	ADV
cana-5262	42	133	,	,	PUNCT
cana-5262	42	134	awotunde	awotunde	PROPN
cana-5262	42	135	jb	jb	PROPN
cana-5262	42	136	(	(	PUNCT
cana-5262	42	137	2020	2020	NUM
cana-5262	42	138	)	)	PUNCT
cana-5262	42	139	improved	improve	VERB
cana-5262	42	140	performance	performance	NOUN
cana-5262	42	141	with	with	ADP
cana-5262	42	142	hybrid	hybrid	ADJ
cana-5262	42	143	feature	feature	NOUN
cana-5262	42	144	selection	selection	NOUN
cana-5262	42	145	in	in	ADP
cana-5262	42	146	iot	iot	ADJ
cana-5262	42	147	hybrid	hybrid	ADJ
cana-5262	42	148	deep	deep	ADJ
cana-5262	42	149	learning	learning	NOUN
cana-5262	42	150	and	and	CCONJ
cana-5262	42	151	rule	rule	NOUN
cana-5262	42	152	-	-	PUNCT
cana-5262	42	153	based	base	VERB
cana-5262	42	154	feature	feature	NOUN
cana-5262	42	155	selection	selection	NOUN
cana-5262	42	156	significant	significant	ADJ
cana-5262	42	157	detection	detection	NOUN
cana-5262	42	158	improvements	improvement	NOUN
cana-5262	42	159	with	with	ADP
cana-5262	42	160	hybrid	hybrid	ADJ
cana-5262	42	161	methods	method	NOUN
cana-5262	42	162	booij	booij	VERB
cana-5262	42	163	tm	tm	NOUN
cana-5262	42	164	,	,	PUNCT
cana-5262	42	165	chiscop	chiscop	PROPN
cana-5262	42	166	i	i	PRON
cana-5262	42	167	,	,	PUNCT
cana-5262	42	168	meeuwissen	meeuwissen	PROPN
cana-5262	42	169	e	e	PROPN
cana-5262	42	170	,	,	PUNCT
cana-5262	42	171	moustafa	moustafa	PROPN
cana-5262	42	172	n	n	CCONJ
cana-5262	42	173	,	,	PUNCT
cana-5262	42	174	den	den	PROPN
cana-5262	42	175	hartog	hartog	PROPN
cana-5262	42	176	ft	ft	X
cana-5262	42	177	(	(	PUNCT
cana-5262	42	178	2021	2021	NUM
cana-5262	42	179	)	)	PUNCT
cana-5262	42	180	standardization	standardization	NOUN
cana-5262	42	181	of	of	ADP
cana-5262	42	182	iot	iot	PROPN
cana-5262	42	183	data	datum	NOUN
cana-5262	42	184	for	for	ADP
cana-5262	42	185	better	well	ADJ
cana-5262	42	186	detection	detection	NOUN
cana-5262	42	187	accuracy	accuracy	NOUN
cana-5262	42	188	standardizing	standardize	VERB
cana-5262	42	189	iot	iot	ADJ
cana-5262	42	190	attack	attack	NOUN
cana-5262	42	191	types	type	NOUN
cana-5262	42	192	and	and	CCONJ
cana-5262	42	193	features	feature	VERB
cana-5262	42	194	better	well	ADJ
cana-5262	42	195	performance	performance	NOUN
cana-5262	42	196	with	with	ADP
cana-5262	42	197	standardized	standardized	ADJ
cana-5262	42	198	iot	iot	ADJ
cana-5262	42	199	datasets	dataset	NOUN
cana-5262	42	200	b	b	PROPN
cana-5262	42	201	cao	cao	PROPN
cana-5262	42	202	,	,	PUNCT
cana-5262	42	203	x	x	PROPN
cana-5262	42	204	wang	wang	PROPN
cana-5262	42	205	,	,	PUNCT
cana-5262	42	206	w	w	PROPN
cana-5262	42	207	zhang	zhang	PROPN
cana-5262	42	208	,	,	PUNCT
cana-5262	42	209	h	h	NOUN
cana-5262	42	210	song	song	NOUN
cana-5262	42	211	,	,	PUNCT
cana-5262	42	212	z	z	PROPN
cana-5262	42	213	lv	lv	PROPN
cana-5262	42	214	(	(	PUNCT
cana-5262	42	215	2020	2020	NUM
cana-5262	42	216	)	)	PUNCT
cana-5262	42	217	blockchain	blockchain	PROPN
cana-5262	42	218	model	model	NOUN
cana-5262	42	219	for	for	ADP
cana-5262	42	220	improving	improve	VERB
cana-5262	42	221	iiot	iiot	NOUN
cana-5262	42	222	scalability	scalability	NOUN
cana-5262	42	223	and	and	CCONJ
cana-5262	42	224	security	security	NOUN
cana-5262	42	225	private	private	ADJ
cana-5262	42	226	blockchain	blockchain	NOUN
cana-5262	42	227	integration	integration	NOUN
cana-5262	42	228	for	for	ADP
cana-5262	42	229	iiot	iiot	NOUN
cana-5262	42	230	optimization	optimization	NOUN
cana-5262	42	231	optimized	optimize	VERB
cana-5262	42	232	scalability	scalability	NOUN
cana-5262	42	233	,	,	PUNCT
cana-5262	42	234	privacy	privacy	NOUN
cana-5262	42	235	,	,	PUNCT
cana-5262	42	236	and	and	CCONJ
cana-5262	42	237	cost	cost	NOUN
cana-5262	42	238	reduction	reduction	NOUN
cana-5262	42	239	k	k	PROPN
cana-5262	42	240	cao	cao	PROPN
cana-5262	42	241	,	,	PUNCT
cana-5262	42	242	b	b	PROPN
cana-5262	42	243	wang	wang	PROPN
cana-5262	42	244	,	,	PUNCT
cana-5262	42	245	h	h	NOUN
cana-5262	42	246	ding	ding	NOUN
cana-5262	42	247	,	,	PUNCT
cana-5262	42	248	l	l	PROPN
cana-5262	42	249	lv	lv	PROPN
cana-5262	42	250	,	,	PUNCT
cana-5262	42	251	j	j	PROPN
cana-5262	42	252	tian	tian	PROPN
cana-5262	42	253	(	(	PUNCT
cana-5262	42	254	2021	2021	NUM
cana-5262	42	255	)	)	PUNCT
cana-5262	42	256	reliability	reliability	NOUN
cana-5262	42	257	and	and	CCONJ
cana-5262	42	258	security	security	NOUN
cana-5262	42	259	improvements	improvement	NOUN
cana-5262	42	260	in	in	ADP
cana-5262	42	261	wireless	wireless	ADJ
cana-5262	42	262	noma	noma	PROPN
cana-5262	42	263	systems	system	NOUN
cana-5262	42	264	joint	joint	ADJ
cana-5262	42	265	noise	noise	NOUN
cana-5262	42	266	and	and	CCONJ
cana-5262	42	267	power	power	NOUN
cana-5262	42	268	allocation	allocation	NOUN
cana-5262	42	269	for	for	ADP
cana-5262	42	270	secure	secure	ADJ
cana-5262	42	271	noma	noma	NOUN
cana-5262	42	272	better	well	ADJ
cana-5262	42	273	performance	performance	NOUN
cana-5262	42	274	in	in	ADP
cana-5262	42	275	secure	secure	ADJ
cana-5262	42	276	wireless	wireless	ADJ
cana-5262	42	277	noma	noma	PROPN
cana-5262	42	278	systems	systems	PROPN
cana-5262	42	279	y	y	PROPN
cana-5262	42	280	cao	cao	PROPN
cana-5262	42	281	,	,	PUNCT
cana-5262	42	282	z	z	PROPN
cana-5262	42	283	wang	wang	PROPN
cana-5262	42	284	,	,	PUNCT
cana-5262	42	285	h	h	PROPN
cana-5262	42	286	ding	ding	NOUN
cana-5262	42	287	,	,	PUNCT
cana-5262	42	288	j	j	PROPN
cana-5262	42	289	zhang	zhang	PROPN
cana-5262	42	290	,	,	PUNCT
cana-5262	42	291	b	b	PROPN
cana-5262	42	292	li	li	X
cana-5262	42	293	(	(	PUNCT
cana-5262	42	294	2023	2023	NUM
cana-5262	42	295	)	)	PUNCT
cana-5262	42	296	ensemble	ensemble	ADJ
cana-5262	42	297	learningbased	learningbase	VERB
cana-5262	42	298	ids	id	NOUN
cana-5262	42	299	with	with	ADP
cana-5262	42	300	high	high	ADJ
cana-5262	42	301	detection	detection	NOUN
cana-5262	42	302	accuracy	accuracy	NOUN
cana-5262	42	303	stacked	stack	VERB
cana-5262	42	304	ensemble	ensemble	ADJ
cana-5262	42	305	learning	learning	NOUN
cana-5262	42	306	with	with	ADP
cana-5262	42	307	feature	feature	NOUN
cana-5262	42	308	selection	selection	NOUN
cana-5262	42	309	and	and	CCONJ
cana-5262	42	310	optimization	optimization	NOUN
cana-5262	42	311	99.68	99.68	NUM
cana-5262	42	312	%	%	NOUN
cana-5262	42	313	accuracy	accuracy	NOUN
cana-5262	42	314	in	in	ADP
cana-5262	42	315	iot	iot	PROPN
cana-5262	42	316	intrusion	intrusion	NOUN
cana-5262	42	317	detection	detection	NOUN
cana-5262	42	318	communications	communication	NOUN
cana-5262	42	319	on	on	ADP
cana-5262	42	320	applied	apply	VERB
cana-5262	42	321	nonlinear	nonlinear	ADJ
cana-5262	42	322	analysis	analysis	NOUN
cana-5262	42	323	issn	issn	NOUN
cana-5262	42	324	:	:	PUNCT
cana-5262	42	325	1074	1074	NUM
cana-5262	42	326	-	-	PUNCT
cana-5262	42	327	133x	133x	NUM
cana-5262	42	328	vol	vol	VERB
cana-5262	42	329	32	32	NUM
cana-5262	42	330	no	no	NOUN
cana-5262	42	331	.	.	PUNCT
cana-5262	43	1	10s	10	NOUN
cana-5262	43	2	(	(	PUNCT
cana-5262	43	3	2025	2025	NUM
cana-5262	43	4	)	)	PUNCT
cana-5262	43	5	1592	1592	NUM
cana-5262	43	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	43	7	3	3	NUM
cana-5262	43	8	methodology	methodology	NOUN
cana-5262	43	9	3.1	3.1	NUM
cana-5262	43	10	proposed	propose	VERB
cana-5262	43	11	algorithm	algorithm	NOUN
cana-5262	43	12	let	let	VERB
cana-5262	43	13	(	(	PUNCT
cana-5262	43	14	𝒟	𝒟	NOUN
cana-5262	43	15	=	=	PRON
cana-5262	43	16	{	{	PUNCT
cana-5262	43	17	(	(	PUNCT
cana-5262	43	18	xi	xi	PROPN
cana-5262	43	19	,	,	PUNCT
cana-5262	43	20	yi	yi	NOUN
cana-5262	43	21	)	)	PUNCT
cana-5262	43	22	}	}	PUNCT
cana-5262	43	23	n	n	CCONJ
cana-5262	43	24	i=1	i=1	PROPN
cana-5262	43	25	)	)	PUNCT
cana-5262	43	26	represent	represent	VERB
cana-5262	43	27	the	the	DET
cana-5262	43	28	dataset	dataset	NOUN
cana-5262	43	29	,	,	PUNCT
cana-5262	43	30	where	where	SCONJ
cana-5262	43	31	𝐱𝐱𝐢𝐢	𝐱𝐱𝐢𝐢	PROPN
cana-5262	43	32	∈	∈	PROPN
cana-5262	43	33	𝑅𝑅𝑑𝑑	𝑅𝑅𝑑𝑑	PROPN
cana-5262	43	34	is	be	AUX
cana-5262	43	35	the	the	DET
cana-5262	43	36	feature	feature	NOUN
cana-5262	43	37	vector	vector	NOUN
cana-5262	43	38	and	and	CCONJ
cana-5262	43	39	(	(	PUNCT
cana-5262	43	40	𝑦𝑦𝑖𝑖	𝑦𝑦𝑖𝑖	NOUN
cana-5262	43	41	  	  	SPACE
cana-5262	43	42	∈	∈	PROPN
cana-5262	43	43	{	{	PUNCT
cana-5262	43	44	0	0	NUM
cana-5262	43	45	,	,	PUNCT
cana-5262	43	46	 	 	SPACE
cana-5262	43	47	1	1	NUM
cana-5262	43	48	}	}	PUNCT
cana-5262	43	49	)	)	PUNCT
cana-5262	43	50	is	be	AUX
cana-5262	43	51	the	the	DET
cana-5262	43	52	corresponding	correspond	VERB
cana-5262	43	53	label	label	NOUN
cana-5262	43	54	(	(	PUNCT
cana-5262	43	55	0	0	NUM
cana-5262	43	56	for	for	ADP
cana-5262	43	57	normal	normal	ADJ
cana-5262	43	58	,	,	PUNCT
cana-5262	43	59	1	1	NUM
cana-5262	43	60	for	for	ADP
cana-5262	43	61	intrusion	intrusion	NOUN
cana-5262	43	62	)	)	PUNCT
cana-5262	43	63	.	.	PUNCT
cana-5262	44	1	the	the	DET
cana-5262	44	2	proposed	propose	VERB
cana-5262	44	3	algorithm	algorithm	NOUN
cana-5262	44	4	consists	consist	VERB
cana-5262	44	5	of	of	ADP
cana-5262	44	6	four	four	NUM
cana-5262	44	7	phases	phase	NOUN
cana-5262	44	8	:	:	PUNCT
cana-5262	44	9	preprocessing	preprocessing	NOUN
cana-5262	44	10	,	,	PUNCT
cana-5262	44	11	feature	feature	NOUN
cana-5262	44	12	engineering	engineering	NOUN
cana-5262	44	13	,	,	PUNCT
cana-5262	44	14	improved	improve	VERB
cana-5262	44	15	grey	grey	ADJ
cana-5262	44	16	wolf	wolf	NOUN
cana-5262	44	17	optimizer	optimizer	NOUN
cana-5262	44	18	(	(	PUNCT
cana-5262	44	19	igwo	igwo	PROPN
cana-5262	44	20	)	)	PUNCT
cana-5262	44	21	,	,	PUNCT
cana-5262	44	22	and	and	CCONJ
cana-5262	44	23	classification	classification	NOUN
cana-5262	44	24	.	.	PUNCT
cana-5262	45	1	3.1.1	3.1.1	NUM
cana-5262	45	2	preprocessing	preprocessing	NOUN
cana-5262	45	3	phase	phase	NOUN
cana-5262	45	4	the	the	DET
cana-5262	45	5	preprocessing	preprocessing	NOUN
cana-5262	45	6	phase	phase	NOUN
cana-5262	45	7	transforms	transform	VERB
cana-5262	45	8	the	the	DET
cana-5262	45	9	raw	raw	ADJ
cana-5262	45	10	dataset	dataset	NOUN
cana-5262	45	11	(	(	PUNCT
cana-5262	45	12	𝒟	𝒟	NOUN
cana-5262	45	13	)	)	PUNCT
cana-5262	45	14	into	into	ADP
cana-5262	45	15	a	a	DET
cana-5262	45	16	clean	clean	ADJ
cana-5262	45	17	and	and	CCONJ
cana-5262	45	18	normalized	normalize	VERB
cana-5262	45	19	dataset	dataset	VERB
cana-5262	45	20	𝒟preprocessed	𝒟preprocessed	PROPN
cana-5262	45	21	(	(	PUNCT
cana-5262	45	22	a	a	NOUN
cana-5262	45	23	)	)	PUNCT
cana-5262	45	24	handle	handle	VERB
cana-5262	45	25	missing	miss	VERB
cana-5262	45	26	values	value	NOUN
cana-5262	45	27	:	:	PUNCT
cana-5262	45	28	𝒟	𝒟	NOUN
cana-5262	45	29	  	  	SPACE
cana-5262	45	30	=	=	SYM
cana-5262	45	31	 	 	SPACE
cana-5262	45	32	𝒟	𝒟	NOUN
cana-5262	45	33	  	  	SPACE
cana-5262	45	34	∖	∖	X
cana-5262	45	35	 	 	SPACE
cana-5262	45	36	{	{	PUNCT
cana-5262	45	37	𝐱𝐢	𝐱𝐢	NOUN
cana-5262	45	38	  	  	SPACE
cana-5262	45	39	∣	∣	ADJ
cana-5262	45	40	 	 	SPACE
cana-5262	45	41	𝐱𝐢	𝐱𝐢	NOUN
cana-5262	45	42	  	  	SPACE
cana-5262	45	43	contains	contain	VERB
cana-5262	45	44	 	 	SPACE
cana-5262	45	45	missing	missing	ADJ
cana-5262	45	46	 	 	SPACE
cana-5262	45	47	values	value	NOUN
cana-5262	45	48	}	}	PUNCT
cana-5262	45	49	(	(	PUNCT
cana-5262	45	50	b	b	X
cana-5262	45	51	)	)	PUNCT
cana-5262	45	52	remove	remove	VERB
cana-5262	45	53	outliers	outlier	NOUN
cana-5262	45	54	using	use	VERB
cana-5262	45	55	iqr	iqr	NOUN
cana-5262	45	56	:	:	PUNCT
cana-5262	45	57	for	for	ADP
cana-5262	45	58	each	each	DET
cana-5262	45	59	feature	feature	NOUN
cana-5262	45	60	(	(	PUNCT
cana-5262	45	61	𝑗𝑗	𝑗𝑗	ADP
cana-5262	45	62	∈	∈	PROPN
cana-5262	45	63	{	{	PUNCT
cana-5262	45	64	1	1	NUM
cana-5262	45	65	,	,	PUNCT
cana-5262	45	66	…	…	PUNCT
cana-5262	45	67	,	,	PUNCT
cana-5262	45	68	𝑑𝑑	𝑑𝑑	NOUN
cana-5262	45	69	}	}	PUNCT
cana-5262	45	70	):	):	PUNCT
cana-5262	45	71	𝑄	𝑄	PROPN
cana-5262	45	72	25th	25th	ADJ
cana-5262	45	73	percentile	percentile	NOUN
cana-5262	45	74	of	of	ADP
cana-5262	45	75	𝐗(𝐣	𝐗(𝐣	NOUN
cana-5262	45	76	)	)	PUNCT
cana-5262	45	77	,	,	PUNCT
cana-5262	45	78	𝑄3	𝑄3	X
cana-5262	45	79	(	(	PUNCT
cana-5262	45	80	𝑗	𝑗	NOUN
cana-5262	45	81	)	)	PUNCT
cana-5262	45	82	=	=	SYM
cana-5262	46	1	75th	75th	ADJ
cana-5262	46	2	percentile	percentile	NOUN
cana-5262	46	3	of	of	ADP
cana-5262	46	4	𝐗(𝐣	𝐗(𝐣	NOUN
cana-5262	46	5	)	)	PUNCT
cana-5262	46	6	figure	figure	NOUN
cana-5262	46	7	1	1	NUM
cana-5262	46	8	methodology	methodology	NOUN
cana-5262	46	9	communications	communication	NOUN
cana-5262	46	10	on	on	ADP
cana-5262	46	11	applied	apply	VERB
cana-5262	46	12	nonlinear	nonlinear	ADJ
cana-5262	46	13	analysis	analysis	NOUN
cana-5262	46	14	issn	issn	NOUN
cana-5262	46	15	:	:	PUNCT
cana-5262	46	16	1074	1074	NUM
cana-5262	46	17	-	-	PUNCT
cana-5262	46	18	133x	133x	NUM
cana-5262	46	19	vol	vol	VERB
cana-5262	46	20	32	32	NUM
cana-5262	46	21	no	no	NOUN
cana-5262	46	22	.	.	PUNCT
cana-5262	47	1	10s	10	NOUN
cana-5262	47	2	(	(	PUNCT
cana-5262	47	3	2025	2025	NUM
cana-5262	47	4	)	)	PUNCT
cana-5262	47	5	1593	1593	NUM
cana-5262	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	47	7	(	(	PUNCT
cana-5262	47	8	c	c	X
cana-5262	47	9	)	)	PUNCT
cana-5262	47	10	normalize/	normalize/	NUM
cana-5262	47	11	standardize	standardize	VERB
cana-5262	47	12	the	the	DET
cana-5262	47	13	data	datum	NOUN
cana-5262	47	14	where	where	SCONJ
cana-5262	47	15	𝜇(𝑗	𝜇(𝑗	NOUN
cana-5262	47	16	)	)	PUNCT
cana-5262	47	17	and	and	CCONJ
cana-5262	47	18	𝜎(𝑗	𝜎(𝑗	NOUN
cana-5262	47	19	)	)	PUNCT
cana-5262	47	20	are	be	AUX
cana-5262	47	21	the	the	DET
cana-5262	47	22	mean	mean	ADJ
cana-5262	47	23	and	and	CCONJ
cana-5262	47	24	standard	standard	ADJ
cana-5262	47	25	deviation	deviation	NOUN
cana-5262	47	26	of	of	ADP
cana-5262	47	27	feature	feature	NOUN
cana-5262	47	28	j.	j.	PROPN
cana-5262	47	29	(	(	PUNCT
cana-5262	47	30	d	d	NOUN
cana-5262	47	31	)	)	PUNCT
cana-5262	47	32	split	split	VERB
cana-5262	47	33	the	the	DET
cana-5262	47	34	dataset	dataset	NOUN
cana-5262	47	35	:	:	PUNCT
cana-5262	47	36	𝒟train	𝒟train	PROPN
cana-5262	47	37	=	=	SYM
cana-5262	47	38	{	{	PUNCT
cana-5262	47	39	(	(	PUNCT
cana-5262	47	40	𝐱𝐢	𝐱𝐢	PROPN
cana-5262	47	41	,	,	PUNCT
cana-5262	47	42	𝑦𝑖)}𝑁𝑖=1train	𝑦𝑖)}𝑁𝑖=1train	PROPN
cana-5262	47	43	,	,	PUNCT
cana-5262	47	44	𝒟test	𝒟test	PROPN
cana-5262	47	45	=	=	SYM
cana-5262	47	46	{	{	PUNCT
cana-5262	47	47	(	(	PUNCT
cana-5262	47	48	𝐱𝐢	𝐱𝐢	PROPN
cana-5262	47	49	,	,	PUNCT
cana-5262	47	50	𝑦𝑖)}𝑁𝑖=1test	𝑦𝑖)}𝑁𝑖=1t	ADJ
cana-5262	47	51	3.1.2	3.1.2	NUM
cana-5262	47	52	feature	feature	NOUN
cana-5262	47	53	engineering	engineering	NOUN
cana-5262	47	54	phase	phase	NOUN
cana-5262	47	55	the	the	DET
cana-5262	47	56	feature	feature	NOUN
cana-5262	47	57	engineering	engineering	NOUN
cana-5262	47	58	phase	phase	NOUN
cana-5262	47	59	selects	select	VERB
cana-5262	47	60	the	the	DET
cana-5262	47	61	most	most	ADV
cana-5262	47	62	relevant	relevant	ADJ
cana-5262	47	63	features	feature	NOUN
cana-5262	47	64	and	and	CCONJ
cana-5262	47	65	reduces	reduce	VERB
cana-5262	47	66	dimensionality	dimensionality	NOUN
cana-5262	47	67	.	.	PUNCT
cana-5262	48	1	(	(	PUNCT
cana-5262	48	2	a	a	X
cana-5262	48	3	)	)	PUNCT
cana-5262	48	4	feature	feature	NOUN
cana-5262	48	5	selection	selection	NOUN
cana-5262	48	6	using	use	VERB
cana-5262	48	7	mutual	mutual	ADJ
cana-5262	48	8	information	information	NOUN
cana-5262	48	9	:	:	PUNCT
cana-5262	48	10	select	select	ADJ
cana-5262	48	11	features	feature	NOUN
cana-5262	48	12	with	with	ADP
cana-5262	48	13	mutual	mutual	ADJ
cana-5262	48	14	information	information	NOUN
cana-5262	48	15	scores	score	NOUN
cana-5262	48	16	above	above	ADP
cana-5262	48	17	a	a	DET
cana-5262	48	18	threshold	threshold	NOUN
cana-5262	48	19	𝜏𝜏	𝜏𝜏	ADP
cana-5262	48	20	:	:	PUNCT
cana-5262	48	21	(	(	PUNCT
cana-5262	48	22	b	b	NOUN
cana-5262	48	23	)	)	PUNCT
cana-5262	48	24	dimensionality	dimensionality	NOUN
cana-5262	48	25	reduction	reduction	NOUN
cana-5262	48	26	using	use	VERB
cana-5262	48	27	pca	pca	NOUN
cana-5262	48	28	:	:	PUNCT
cana-5262	48	29	𝐗pca	𝐗pca	PROPN
cana-5262	48	30	=	=	SYM
cana-5262	48	31	𝐗	𝐗	PROPN
cana-5262	48	32	⋅	⋅	PROPN
cana-5262	48	33	𝐕	𝐕	PROPN
cana-5262	48	34	,	,	PUNCT
cana-5262	48	35	where	where	SCONJ
cana-5262	48	36	𝐕	𝐕	PROPN
cana-5262	48	37	is	be	AUX
cana-5262	48	38	the	the	DET
cana-5262	48	39	matrix	matrix	NOUN
cana-5262	48	40	of	of	ADP
cana-5262	48	41	top	top	NOUN
cana-5262	48	42	𝑘	𝑘	DET
cana-5262	48	43	eigenvectors	eigenvector	NOUN
cana-5262	48	44	3.1.3	3.1.3	NUM
cana-5262	48	45	improved	improve	VERB
cana-5262	48	46	grey	grey	ADJ
cana-5262	48	47	wolf	wolf	PROPN
cana-5262	48	48	optimizer	optimizer	NOUN
cana-5262	48	49	(	(	PUNCT
cana-5262	48	50	igwo	igwo	PROPN
cana-5262	48	51	)	)	PUNCT
cana-5262	48	52	phase	phase	NOUN
cana-5262	48	53	the	the	DET
cana-5262	48	54	igwo	igwo	ADJ
cana-5262	48	55	phase	phase	NOUN
cana-5262	48	56	optimizes	optimize	VERB
cana-5262	48	57	feature	feature	NOUN
cana-5262	48	58	selection	selection	NOUN
cana-5262	48	59	by	by	ADP
cana-5262	48	60	dynamically	dynamically	ADV
cana-5262	48	61	exploring	explore	VERB
cana-5262	48	62	the	the	DET
cana-5262	48	63	feature	feature	NOUN
cana-5262	48	64	space	space	NOUN
cana-5262	48	65	.	.	PUNCT
cana-5262	49	1	(	(	PUNCT
cana-5262	49	2	a	a	X
cana-5262	49	3	)	)	PUNCT
cana-5262	49	4	initialize	initialize	VERB
cana-5262	49	5	wolves	wolf	NOUN
cana-5262	49	6	:	:	PUNCT
cana-5262	49	7	initialize	initialize	VERB
cana-5262	49	8	alpha	alpha	NOUN
cana-5262	49	9	,	,	PUNCT
cana-5262	49	10	beta	beta	NOUN
cana-5262	49	11	,	,	PUNCT
cana-5262	49	12	and	and	CCONJ
cana-5262	49	13	delta	delta	NOUN
cana-5262	49	14	wolves	wolf	NOUN
cana-5262	49	15	:	:	PUNCT
cana-5262	49	16	𝐰𝛼	𝐰𝛼	NOUN
cana-5262	49	17	=	=	SYM
cana-5262	49	18	𝐰𝛽	𝐰𝛽	X
cana-5262	49	19	=	=	NOUN
cana-5262	49	20	𝐰𝛿	𝐰𝛿	PROPN
cana-5262	49	21	=	=	SYM
cana-5262	49	22	𝟎	𝟎	PROPN
cana-5262	49	23	,	,	PUNCT
cana-5262	49	24	𝑓𝛼	𝑓𝛼	VERB
cana-5262	49	25	=	=	SYM
cana-5262	49	26	𝑓𝛽	𝑓𝛽	NOUN
cana-5262	49	27	=	=	PUNCT
cana-5262	49	28	𝑓𝛿	𝑓𝛿	X
cana-5262	49	29	=	=	PUNCT
cana-5262	50	1	+	+	NOUN
cana-5262	50	2	∞	∞	PROPN
cana-5262	50	3	communications	communication	NOUN
cana-5262	50	4	on	on	ADP
cana-5262	50	5	applied	apply	VERB
cana-5262	50	6	nonlinear	nonlinear	ADJ
cana-5262	50	7	analysis	analysis	NOUN
cana-5262	50	8	issn	issn	NOUN
cana-5262	50	9	:	:	PUNCT
cana-5262	50	10	1074	1074	NUM
cana-5262	50	11	-	-	PUNCT
cana-5262	50	12	133x	133x	NUM
cana-5262	50	13	vol	vol	VERB
cana-5262	50	14	32	32	NUM
cana-5262	50	15	no	no	NOUN
cana-5262	50	16	.	.	PUNCT
cana-5262	51	1	10s	10	NOUN
cana-5262	51	2	(	(	PUNCT
cana-5262	51	3	2025	2025	NUM
cana-5262	51	4	)	)	PUNCT
cana-5262	51	5	1594	1594	NUM
cana-5262	51	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	51	7	(	(	PUNCT
cana-5262	51	8	b	b	NOUN
cana-5262	51	9	)	)	PUNCT
cana-5262	51	10	for	for	ADP
cana-5262	51	11	each	each	DET
cana-5262	51	12	iteration	iteration	NOUN
cana-5262	51	13	t	t	NOUN
cana-5262	51	14	=	=	SYM
cana-5262	51	15	1	1	NUM
cana-5262	51	16	to	to	ADP
cana-5262	51	17	t	t	PROPN
cana-5262	51	18	:	:	PUNCT
cana-5262	51	19	i.	i.	NOUN
cana-5262	51	20	update	update	VERB
cana-5262	51	21	the	the	DET
cana-5262	51	22	parameter	parameter	NOUN
cana-5262	51	23	a	a	DET
cana-5262	51	24	:	:	SYM
cana-5262	51	25	ii	ii	NOUN
cana-5262	51	26	.	.	PUNCT
cana-5262	52	1	for	for	ADP
cana-5262	52	2	each	each	DET
cana-5262	52	3	wolf	wolf	PROPN
cana-5262	52	4	𝐰𝐢	𝐰𝐢	PROPN
cana-5262	52	5	:	:	PUNCT
cana-5262	52	6	iii	iii	X
cana-5262	52	7	.	.	PROPN
cana-5262	52	8	apply	apply	VERB
cana-5262	52	9	mutation	mutation	NOUN
cana-5262	52	10	to	to	PART
cana-5262	52	11	maintain	maintain	VERB
cana-5262	52	12	diversity	diversity	NOUN
cana-5262	52	13	:	:	PUNCT
cana-5262	52	14	𝐰𝐢	𝐰𝐢	NOUN
cana-5262	52	15	(	(	PUNCT
cana-5262	52	16	𝐣	𝐣	PROPN
cana-5262	52	17	)	)	PUNCT
cana-5262	52	18	=	=	SYM
cana-5262	52	19	𝐰𝐢	𝐰𝐢	PROPN
cana-5262	52	20	(	(	PUNCT
cana-5262	52	21	𝐣	𝐣	NOUN
cana-5262	52	22	)	)	PUNCT
cana-5262	52	23	+	+	NUM
cana-5262	52	24	𝒰(−1,1	𝒰(−1,1	NOUN
cana-5262	52	25	)	)	PUNCT
cana-5262	52	26	,	,	PUNCT
cana-5262	52	27	with	with	ADP
cana-5262	52	28	probability	probability	NOUN
cana-5262	52	29	𝑝mutation	𝑝mutation	NOUN
cana-5262	52	30	3.1.4	3.1.4	NUM
cana-5262	52	31	classification	classification	NOUN
cana-5262	52	32	phase	phase	NOUN
cana-5262	52	33	the	the	DET
cana-5262	52	34	classification	classification	NOUN
cana-5262	52	35	phase	phase	NOUN
cana-5262	52	36	trains	train	NOUN
cana-5262	52	37	and	and	CCONJ
cana-5262	52	38	evaluates	evaluate	VERB
cana-5262	52	39	the	the	DET
cana-5262	52	40	model	model	NOUN
cana-5262	52	41	using	use	VERB
cana-5262	52	42	the	the	DET
cana-5262	52	43	best	good	ADJ
cana-5262	52	44	features	feature	NOUN
cana-5262	52	45	selected	select	VERB
cana-5262	52	46	by	by	ADP
cana-5262	52	47	igwo	igwo	PROPN
cana-5262	52	48	.	.	PUNCT
cana-5262	53	1	(	(	PUNCT
cana-5262	53	2	a	a	X
cana-5262	53	3	)	)	PUNCT
cana-5262	53	4	train	train	NOUN
cana-5262	53	5	random	random	ADJ
cana-5262	53	6	forest	forest	NOUN
cana-5262	53	7	model	model	NOUN
cana-5262	53	8	:	:	PUNCT
cana-5262	53	9	model	model	NOUN
cana-5262	53	10	=	=	PROPN
cana-5262	53	11	randomforestclassiier	randomforestclassiier	NOUN
cana-5262	53	12	𝐗𝐗﷩𝐭𝐭𝐭𝐭𝐭𝐭	𝐗𝐗﷩𝐭𝐭𝐭𝐭𝐭𝐭	VERB
cana-5262	53	13	[:	[:	X
cana-5262	53	14	,	,	PUNCT
cana-5262	53	15	𝐰𝐰𝛼𝛼	𝐰𝐰𝛼𝛼	PROPN
cana-5262	53	16	]	]	PUNCT
cana-5262	53	17	,	,	PUNCT
cana-5262	53	18	𝐲𝐲𝐭𝐭𝐭𝐭𝐭𝐭	𝐲𝐲𝐭𝐭𝐭𝐭𝐭𝐭	PROPN
cana-5262	53	19	(	(	PUNCT
cana-5262	53	20	b	b	X
cana-5262	53	21	)	)	PUNCT
cana-5262	53	22	evaluate	evaluate	VERB
cana-5262	53	23	the	the	DET
cana-5262	53	24	model	model	NOUN
cana-5262	53	25	:	:	PUNCT
cana-5262	53	26	tp	tp	X
cana-5262	53	27	+	+	CCONJ
cana-5262	53	28	tn	tn	NOUN
cana-5262	53	29	accuracy	accuracy	NOUN
cana-5262	53	30	=	=	PRON
cana-5262	53	31	tp	tp	X
cana-5262	53	32	+	+	CCONJ
cana-5262	53	33	tn	tn	PROPN
cana-5262	54	1	+	+	NUM
cana-5262	54	2	fp	fp	PROPN
cana-5262	55	1	+	+	NUM
cana-5262	55	2	fn	fn	NOUN
cana-5262	55	3	tp	tp	NOUN
cana-5262	55	4	precision	precision	NOUN
cana-5262	55	5	=	=	PUNCT
cana-5262	55	6	tp	tp	X
cana-5262	56	1	+	+	CCONJ
cana-5262	56	2	fp	fp	PROPN
cana-5262	56	3	tp	tp	PART
cana-5262	56	4	recall	recall	NOUN
cana-5262	56	5	communications	communication	NOUN
cana-5262	56	6	on	on	ADP
cana-5262	56	7	applied	apply	VERB
cana-5262	56	8	nonlinear	nonlinear	ADJ
cana-5262	56	9	analysis	analysis	NOUN
cana-5262	56	10	issn	issn	NOUN
cana-5262	56	11	:	:	PUNCT
cana-5262	56	12	1074	1074	NUM
cana-5262	56	13	-	-	PUNCT
cana-5262	56	14	133x	133x	NUM
cana-5262	56	15	vol	vol	VERB
cana-5262	56	16	32	32	NUM
cana-5262	56	17	no	no	NOUN
cana-5262	56	18	.	.	PUNCT
cana-5262	57	1	10s	10	NOUN
cana-5262	57	2	(	(	PUNCT
cana-5262	57	3	2025	2025	NUM
cana-5262	57	4	)	)	PUNCT
cana-5262	57	5	1595	1595	NUM
cana-5262	57	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	57	7	precision	precision	NOUN
cana-5262	57	8	⋅	⋅	PROPN
cana-5262	57	9	recall	recall	NOUN
cana-5262	57	10	f1	f1	NOUN
cana-5262	57	11	-	-	PUNCT
cana-5262	57	12	score	score	NOUN
cana-5262	57	13	=	=	SYM
cana-5262	57	14	2	2	NUM
cana-5262	57	15	⋅	⋅	NOUN
cana-5262	57	16	precision	precision	NOUN
cana-5262	57	17	+	+	CCONJ
cana-5262	57	18	recall	recall	VERB
cana-5262	57	19	1	1	NUM
cana-5262	57	20	auc	auc	NOUN
cana-5262	57	21	-	-	PUNCT
cana-5262	57	22	roc	roc	NOUN
cana-5262	57	23	=	=	PUNCT
cana-5262	57	24	tpr(𝑓𝑓	tpr(𝑓𝑓	NOUN
cana-5262	57	25	)	)	PUNCT
cana-5262	57	26	⋅	⋅	PROPN
cana-5262	57	27	fpr(𝑓𝑓	fpr(𝑓𝑓	NOUN
cana-5262	57	28	)	)	PUNCT
cana-5262	57	29	 	 	SPACE
cana-5262	57	30	𝑑𝑑𝑓𝑓	𝑑𝑑𝑓𝑓	PROPN
cana-5262	57	31	0	0	NUM
cana-5262	58	1	the	the	DET
cana-5262	58	2	proposed	propose	VERB
cana-5262	58	3	algorithm	algorithm	NOUN
cana-5262	58	4	integrates	integrate	VERB
cana-5262	58	5	preprocessing	preprocessing	NOUN
cana-5262	58	6	,	,	PUNCT
cana-5262	58	7	feature	feature	NOUN
cana-5262	58	8	engineering	engineering	NOUN
cana-5262	58	9	,	,	PUNCT
cana-5262	58	10	igwo	igwo	PROPN
cana-5262	58	11	-	-	PUNCT
cana-5262	58	12	based	base	VERB
cana-5262	58	13	feature	feature	NOUN
cana-5262	58	14	selection	selection	NOUN
cana-5262	58	15	,	,	PUNCT
cana-5262	58	16	and	and	CCONJ
cana-5262	58	17	classification	classification	NOUN
cana-5262	58	18	into	into	ADP
cana-5262	58	19	a	a	DET
cana-5262	58	20	unified	unified	ADJ
cana-5262	58	21	framework	framework	NOUN
cana-5262	58	22	.	.	PUNCT
cana-5262	59	1	it	it	PRON
cana-5262	59	2	begins	begin	VERB
cana-5262	59	3	by	by	ADP
cana-5262	59	4	cleaning	clean	VERB
cana-5262	59	5	and	and	CCONJ
cana-5262	59	6	normalizing	normalize	VERB
cana-5262	59	7	the	the	DET
cana-5262	59	8	dataset	dataset	NOUN
cana-5262	59	9	,	,	PUNCT
cana-5262	59	10	followed	follow	VERB
cana-5262	59	11	by	by	ADP
cana-5262	59	12	feature	feature	NOUN
cana-5262	59	13	selection	selection	NOUN
cana-5262	59	14	and	and	CCONJ
cana-5262	59	15	dimensionality	dimensionality	NOUN
cana-5262	59	16	reduction	reduction	NOUN
cana-5262	59	17	.	.	PUNCT
cana-5262	60	1	the	the	DET
cana-5262	60	2	igwo	igwo	PROPN
cana-5262	60	3	algorithm	algorithm	PROPN
cana-5262	60	4	dynamically	dynamically	ADV
cana-5262	60	5	explores	explore	VERB
cana-5262	60	6	the	the	DET
cana-5262	60	7	feature	feature	NOUN
cana-5262	60	8	space	space	NOUN
cana-5262	60	9	to	to	PART
cana-5262	60	10	identify	identify	VERB
cana-5262	60	11	the	the	DET
cana-5262	60	12	optimal	optimal	ADJ
cana-5262	60	13	subset	subset	NOUN
cana-5262	60	14	of	of	ADP
cana-5262	60	15	features	feature	NOUN
cana-5262	60	16	,	,	PUNCT
cana-5262	60	17	which	which	PRON
cana-5262	60	18	are	be	AUX
cana-5262	60	19	then	then	ADV
cana-5262	60	20	used	use	VERB
cana-5262	60	21	to	to	PART
cana-5262	60	22	train	train	VERB
cana-5262	60	23	a	a	DET
cana-5262	60	24	random	random	ADJ
cana-5262	60	25	forest	forest	NOUN
cana-5262	60	26	classifier	classifier	NOUN
cana-5262	60	27	.	.	PUNCT
cana-5262	61	1	the	the	DET
cana-5262	61	2	model	model	NOUN
cana-5262	61	3	’s	’s	PART
cana-5262	61	4	performance	performance	NOUN
cana-5262	61	5	is	be	AUX
cana-5262	61	6	evaluated	evaluate	VERB
cana-5262	61	7	using	use	VERB
cana-5262	61	8	standard	standard	ADJ
cana-5262	61	9	metrics	metric	NOUN
cana-5262	61	10	,	,	PUNCT
cana-5262	61	11	ensuring	ensure	VERB
cana-5262	61	12	a	a	DET
cana-5262	61	13	robust	robust	ADJ
cana-5262	61	14	and	and	CCONJ
cana-5262	61	15	efficient	efficient	ADJ
cana-5262	61	16	intrusion	intrusion	NOUN
cana-5262	61	17	detection	detection	NOUN
cana-5262	61	18	system	system	NOUN
cana-5262	61	19	for	for	ADP
cana-5262	61	20	iot	iot	NOUN
cana-5262	61	21	networks	network	NOUN
cana-5262	61	22	.	.	PUNCT
cana-5262	62	1	the	the	DET
cana-5262	62	2	first	first	ADJ
cana-5262	62	3	phase	phase	NOUN
cana-5262	62	4	,	,	PUNCT
cana-5262	62	5	preprocessing	preprocessing	NOUN
cana-5262	62	6	,	,	PUNCT
cana-5262	62	7	plays	play	VERB
cana-5262	62	8	a	a	DET
cana-5262	62	9	crucial	crucial	ADJ
cana-5262	62	10	role	role	NOUN
cana-5262	62	11	in	in	ADP
cana-5262	62	12	preparing	prepare	VERB
cana-5262	62	13	the	the	DET
cana-5262	62	14	raw	raw	ADJ
cana-5262	62	15	dataset	dataset	NOUN
cana-5262	62	16	for	for	ADP
cana-5262	62	17	further	further	ADJ
cana-5262	62	18	analysis	analysis	NOUN
cana-5262	62	19	.	.	PUNCT
cana-5262	63	1	the	the	DET
cana-5262	63	2	process	process	NOUN
cana-5262	63	3	begins	begin	VERB
cana-5262	63	4	by	by	ADP
cana-5262	63	5	handling	handle	VERB
cana-5262	63	6	missing	miss	VERB
cana-5262	63	7	values	value	NOUN
cana-5262	63	8	,	,	PUNCT
cana-5262	63	9	where	where	SCONJ
cana-5262	63	10	any	any	DET
cana-5262	63	11	rows	row	NOUN
cana-5262	63	12	containing	contain	VERB
cana-5262	63	13	missing	miss	VERB
cana-5262	63	14	data	datum	NOUN
cana-5262	63	15	are	be	AUX
cana-5262	63	16	discarded	discard	VERB
cana-5262	63	17	to	to	PART
cana-5262	63	18	ensure	ensure	VERB
cana-5262	63	19	that	that	SCONJ
cana-5262	63	20	the	the	DET
cana-5262	63	21	dataset	dataset	NOUN
cana-5262	63	22	is	be	AUX
cana-5262	63	23	consistent	consistent	ADJ
cana-5262	63	24	and	and	CCONJ
cana-5262	63	25	complete	complete	ADJ
cana-5262	63	26	.	.	PUNCT
cana-5262	64	1	next	next	ADJ
cana-5262	64	2	,	,	PUNCT
cana-5262	64	3	outliers	outlier	NOUN
cana-5262	64	4	,	,	PUNCT
cana-5262	64	5	which	which	PRON
cana-5262	64	6	could	could	AUX
cana-5262	64	7	skew	skew	VERB
cana-5262	64	8	the	the	DET
cana-5262	64	9	results	result	NOUN
cana-5262	64	10	,	,	PUNCT
cana-5262	64	11	are	be	AUX
cana-5262	64	12	removed	remove	VERB
cana-5262	64	13	using	use	VERB
cana-5262	64	14	the	the	DET
cana-5262	64	15	interquartile	interquartile	ADJ
cana-5262	64	16	range	range	NOUN
cana-5262	64	17	(	(	PUNCT
cana-5262	64	18	iqr	iqr	NOUN
cana-5262	64	19	)	)	PUNCT
cana-5262	64	20	method	method	NOUN
cana-5262	64	21	.	.	PUNCT
cana-5262	65	1	this	this	DET
cana-5262	65	2	method	method	NOUN
cana-5262	65	3	identifies	identify	VERB
cana-5262	65	4	outliers	outlier	NOUN
cana-5262	65	5	by	by	ADP
cana-5262	65	6	calculating	calculate	VERB
cana-5262	65	7	the	the	DET
cana-5262	65	8	first	first	ADJ
cana-5262	65	9	and	and	CCONJ
cana-5262	65	10	third	third	ADJ
cana-5262	65	11	quartiles	quartile	NOUN
cana-5262	65	12	(	(	PUNCT
cana-5262	65	13	q1	q1	NOUN
cana-5262	65	14	and	and	CCONJ
cana-5262	65	15	q3	q3	PROPN
cana-5262	65	16	)	)	PUNCT
cana-5262	65	17	for	for	ADP
cana-5262	65	18	each	each	DET
cana-5262	65	19	feature	feature	NOUN
cana-5262	65	20	and	and	CCONJ
cana-5262	65	21	removing	remove	VERB
cana-5262	65	22	data	datum	NOUN
cana-5262	65	23	points	point	NOUN
cana-5262	65	24	that	that	PRON
cana-5262	65	25	lie	lie	VERB
cana-5262	65	26	beyond	beyond	ADP
cana-5262	65	27	1.5	1.5	NUM
cana-5262	65	28	times	time	NOUN
cana-5262	65	29	the	the	DET
cana-5262	65	30	iqr	iqr	PROPN
cana-5262	65	31	from	from	ADP
cana-5262	65	32	these	these	DET
cana-5262	65	33	quartiles	quartile	NOUN
cana-5262	65	34	.	.	PUNCT
cana-5262	66	1	this	this	PRON
cana-5262	66	2	ensures	ensure	VERB
cana-5262	66	3	that	that	SCONJ
cana-5262	66	4	the	the	DET
cana-5262	66	5	dataset	dataset	NOUN
cana-5262	66	6	reflects	reflect	VERB
cana-5262	66	7	only	only	ADV
cana-5262	66	8	the	the	DET
cana-5262	66	9	most	most	ADV
cana-5262	66	10	representative	representative	ADJ
cana-5262	66	11	data	data	NOUN
cana-5262	66	12	points	point	NOUN
cana-5262	66	13	.	.	PUNCT
cana-5262	67	1	after	after	ADP
cana-5262	67	2	outlier	outlier	NOUN
cana-5262	67	3	removal	removal	NOUN
cana-5262	67	4	,	,	PUNCT
cana-5262	67	5	the	the	DET
cana-5262	67	6	data	data	NOUN
cana-5262	67	7	is	be	AUX
cana-5262	67	8	normalized	normalize	VERB
cana-5262	67	9	or	or	CCONJ
cana-5262	67	10	standardized	standardize	VERB
cana-5262	67	11	using	use	VERB
cana-5262	67	12	the	the	DET
cana-5262	67	13	z	z	NOUN
cana-5262	67	14	-	-	PUNCT
cana-5262	67	15	score	score	NOUN
cana-5262	67	16	method	method	NOUN
cana-5262	67	17	,	,	PUNCT
cana-5262	67	18	which	which	PRON
cana-5262	67	19	adjusts	adjust	VERB
cana-5262	67	20	each	each	DET
cana-5262	67	21	feature	feature	NOUN
cana-5262	67	22	to	to	PART
cana-5262	67	23	have	have	VERB
cana-5262	67	24	a	a	DET
cana-5262	67	25	mean	mean	NOUN
cana-5262	67	26	of	of	ADP
cana-5262	67	27	zero	zero	NUM
cana-5262	67	28	and	and	CCONJ
cana-5262	67	29	a	a	DET
cana-5262	67	30	standard	standard	ADJ
cana-5262	67	31	deviation	deviation	NOUN
cana-5262	67	32	of	of	ADP
cana-5262	67	33	one	one	NUM
cana-5262	67	34	.	.	PUNCT
cana-5262	68	1	this	this	DET
cana-5262	68	2	step	step	NOUN
cana-5262	68	3	ensures	ensure	VERB
cana-5262	68	4	that	that	SCONJ
cana-5262	68	5	the	the	DET
cana-5262	68	6	features	feature	NOUN
cana-5262	68	7	are	be	AUX
cana-5262	68	8	on	on	ADP
cana-5262	68	9	a	a	DET
cana-5262	68	10	comparable	comparable	ADJ
cana-5262	68	11	scale	scale	NOUN
cana-5262	68	12	,	,	PUNCT
cana-5262	68	13	preventing	prevent	VERB
cana-5262	68	14	any	any	DET
cana-5262	68	15	single	single	ADJ
cana-5262	68	16	feature	feature	NOUN
cana-5262	68	17	from	from	ADP
cana-5262	68	18	dominating	dominate	VERB
cana-5262	68	19	the	the	DET
cana-5262	68	20	learning	learning	NOUN
cana-5262	68	21	process	process	NOUN
cana-5262	68	22	due	due	ADP
cana-5262	68	23	to	to	PART
cana-5262	68	24	scale	scale	VERB
cana-5262	68	25	differences	difference	NOUN
cana-5262	68	26	.	.	PUNCT
cana-5262	69	1	finally	finally	ADV
cana-5262	69	2	,	,	PUNCT
cana-5262	69	3	the	the	DET
cana-5262	69	4	dataset	dataset	NOUN
cana-5262	69	5	is	be	AUX
cana-5262	69	6	split	split	VERB
cana-5262	69	7	into	into	ADP
cana-5262	69	8	training	training	NOUN
cana-5262	69	9	and	and	CCONJ
cana-5262	69	10	testing	testing	NOUN
cana-5262	69	11	sets	set	NOUN
cana-5262	69	12	to	to	PART
cana-5262	69	13	allow	allow	VERB
cana-5262	69	14	the	the	DET
cana-5262	69	15	subsequent	subsequent	ADJ
cana-5262	69	16	machine	machine	NOUN
cana-5262	69	17	learning	learn	VERB
cana-5262	69	18	model	model	NOUN
cana-5262	69	19	to	to	PART
cana-5262	69	20	be	be	AUX
cana-5262	69	21	trained	train	VERB
cana-5262	69	22	and	and	CCONJ
cana-5262	69	23	evaluated	evaluate	VERB
cana-5262	69	24	effectively	effectively	ADV
cana-5262	69	25	.	.	PUNCT
cana-5262	70	1	communications	communication	NOUN
cana-5262	70	2	on	on	ADP
cana-5262	70	3	applied	apply	VERB
cana-5262	70	4	nonlinear	nonlinear	ADJ
cana-5262	70	5	analysis	analysis	NOUN
cana-5262	70	6	issn	issn	NOUN
cana-5262	70	7	:	:	PUNCT
cana-5262	70	8	1074	1074	NUM
cana-5262	70	9	-	-	PUNCT
cana-5262	70	10	133x	133x	NUM
cana-5262	70	11	vol	vol	VERB
cana-5262	70	12	32	32	NUM
cana-5262	70	13	no	no	NOUN
cana-5262	70	14	.	.	PUNCT
cana-5262	71	1	10s	10	NOUN
cana-5262	71	2	(	(	PUNCT
cana-5262	71	3	2025	2025	NUM
cana-5262	71	4	)	)	PUNCT
cana-5262	71	5	1596	1596	NUM
cana-5262	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	71	7	following	follow	VERB
cana-5262	71	8	preprocessing	preprocesse	VERB
cana-5262	71	9	,	,	PUNCT
cana-5262	71	10	the	the	DET
cana-5262	71	11	next	next	ADJ
cana-5262	71	12	phase	phase	NOUN
cana-5262	71	13	is	be	AUX
cana-5262	71	14	feature	feature	NOUN
cana-5262	71	15	engineering	engineering	NOUN
cana-5262	71	16	,	,	PUNCT
cana-5262	71	17	where	where	SCONJ
cana-5262	71	18	the	the	DET
cana-5262	71	19	dataset	dataset	NOUN
cana-5262	71	20	undergoes	undergo	VERB
cana-5262	71	21	transformation	transformation	NOUN
cana-5262	71	22	to	to	PART
cana-5262	71	23	enhance	enhance	VERB
cana-5262	71	24	the	the	DET
cana-5262	71	25	relevance	relevance	NOUN
cana-5262	71	26	of	of	ADP
cana-5262	71	27	the	the	DET
cana-5262	71	28	features	feature	NOUN
cana-5262	71	29	used	use	VERB
cana-5262	71	30	for	for	ADP
cana-5262	71	31	model	model	NOUN
cana-5262	71	32	training	training	NOUN
cana-5262	71	33	.	.	PUNCT
cana-5262	72	1	this	this	DET
cana-5262	72	2	phase	phase	NOUN
cana-5262	72	3	starts	start	VERB
cana-5262	72	4	with	with	ADP
cana-5262	72	5	feature	feature	NOUN
cana-5262	72	6	selection	selection	NOUN
cana-5262	72	7	,	,	PUNCT
cana-5262	72	8	which	which	PRON
cana-5262	72	9	is	be	AUX
cana-5262	72	10	performed	perform	VERB
cana-5262	72	11	using	use	VERB
cana-5262	72	12	mutual	mutual	ADJ
cana-5262	72	13	information	information	NOUN
cana-5262	72	14	.	.	PUNCT
cana-5262	73	1	mutual	mutual	ADJ
cana-5262	73	2	information	information	NOUN
cana-5262	73	3	measures	measure	VERB
cana-5262	73	4	the	the	DET
cana-5262	73	5	dependency	dependency	NOUN
cana-5262	73	6	between	between	ADP
cana-5262	73	7	each	each	DET
cana-5262	73	8	feature	feature	NOUN
cana-5262	73	9	and	and	CCONJ
cana-5262	73	10	the	the	DET
cana-5262	73	11	target	target	NOUN
cana-5262	73	12	label	label	NOUN
cana-5262	73	13	(	(	PUNCT
cana-5262	73	14	whether	whether	SCONJ
cana-5262	73	15	the	the	DET
cana-5262	73	16	data	datum	NOUN
cana-5262	73	17	represents	represent	VERB
cana-5262	73	18	a	a	DET
cana-5262	73	19	normal	normal	ADJ
cana-5262	73	20	or	or	CCONJ
cana-5262	73	21	intrusive	intrusive	ADJ
cana-5262	73	22	event	event	NOUN
cana-5262	73	23	)	)	PUNCT
cana-5262	73	24	.	.	PUNCT
cana-5262	74	1	features	feature	VERB
cana-5262	74	2	that	that	PRON
cana-5262	74	3	show	show	VERB
cana-5262	74	4	high	high	ADJ
cana-5262	74	5	mutual	mutual	ADJ
cana-5262	74	6	information	information	NOUN
cana-5262	74	7	with	with	ADP
cana-5262	74	8	the	the	DET
cana-5262	74	9	target	target	NOUN
cana-5262	74	10	variable	variable	NOUN
cana-5262	74	11	are	be	AUX
cana-5262	74	12	selected	select	VERB
cana-5262	74	13	for	for	ADP
cana-5262	74	14	further	further	ADJ
cana-5262	74	15	analysis	analysis	NOUN
cana-5262	74	16	,	,	PUNCT
cana-5262	74	17	while	while	SCONJ
cana-5262	74	18	those	those	PRON
cana-5262	74	19	that	that	PRON
cana-5262	74	20	provide	provide	VERB
cana-5262	74	21	little	little	ADJ
cana-5262	74	22	to	to	ADP
cana-5262	74	23	no	no	DET
cana-5262	74	24	value	value	NOUN
cana-5262	74	25	are	be	AUX
cana-5262	74	26	discarded	discard	VERB
cana-5262	74	27	.	.	PUNCT
cana-5262	75	1	this	this	DET
cana-5262	75	2	step	step	NOUN
cana-5262	75	3	helps	help	VERB
cana-5262	75	4	reduce	reduce	VERB
cana-5262	75	5	the	the	DET
cana-5262	75	6	dimensionality	dimensionality	NOUN
cana-5262	75	7	of	of	ADP
cana-5262	75	8	the	the	DET
cana-5262	75	9	dataset	dataset	NOUN
cana-5262	75	10	,	,	PUNCT
cana-5262	75	11	improving	improve	VERB
cana-5262	75	12	the	the	DET
cana-5262	75	13	model	model	NOUN
cana-5262	75	14	’s	’s	PART
cana-5262	75	15	efficiency	efficiency	NOUN
cana-5262	75	16	and	and	CCONJ
cana-5262	75	17	reducing	reduce	VERB
cana-5262	75	18	the	the	DET
cana-5262	75	19	risk	risk	NOUN
cana-5262	75	20	of	of	ADP
cana-5262	75	21	overfitting	overfitte	VERB
cana-5262	75	22	.	.	PUNCT
cana-5262	76	1	after	after	ADP
cana-5262	76	2	feature	feature	NOUN
cana-5262	76	3	selection	selection	NOUN
cana-5262	76	4	,	,	PUNCT
cana-5262	76	5	dimensionality	dimensionality	NOUN
cana-5262	76	6	reduction	reduction	NOUN
cana-5262	76	7	is	be	AUX
cana-5262	76	8	applied	apply	VERB
cana-5262	76	9	using	use	VERB
cana-5262	76	10	principal	principal	ADJ
cana-5262	76	11	component	component	NOUN
cana-5262	76	12	analysis	analysis	NOUN
cana-5262	76	13	(	(	PUNCT
cana-5262	76	14	pca	pca	NOUN
cana-5262	76	15	)	)	PUNCT
cana-5262	76	16	.	.	PUNCT
cana-5262	77	1	pca	pca	PROPN
cana-5262	77	2	is	be	AUX
cana-5262	77	3	a	a	DET
cana-5262	77	4	linear	linear	ADJ
cana-5262	77	5	transformation	transformation	NOUN
cana-5262	77	6	technique	technique	NOUN
cana-5262	77	7	that	that	PRON
cana-5262	77	8	reduces	reduce	VERB
cana-5262	77	9	the	the	DET
cana-5262	77	10	number	number	NOUN
cana-5262	77	11	of	of	ADP
cana-5262	77	12	features	feature	NOUN
cana-5262	77	13	while	while	SCONJ
cana-5262	77	14	retaining	retain	VERB
cana-5262	77	15	as	as	ADP
cana-5262	77	16	much	much	ADJ
cana-5262	77	17	of	of	ADP
cana-5262	77	18	the	the	DET
cana-5262	77	19	variance	variance	NOUN
cana-5262	77	20	as	as	ADP
cana-5262	77	21	possible	possible	ADJ
cana-5262	77	22	.	.	PUNCT
cana-5262	78	1	by	by	ADP
cana-5262	78	2	projecting	project	VERB
cana-5262	78	3	the	the	DET
cana-5262	78	4	data	datum	NOUN
cana-5262	78	5	into	into	ADP
cana-5262	78	6	a	a	DET
cana-5262	78	7	lowerdimensional	lowerdimensional	ADJ
cana-5262	78	8	space	space	NOUN
cana-5262	78	9	,	,	PUNCT
cana-5262	78	10	pca	pca	PROPN
cana-5262	78	11	helps	help	VERB
cana-5262	78	12	in	in	ADP
cana-5262	78	13	simplifying	simplify	VERB
cana-5262	78	14	the	the	DET
cana-5262	78	15	model	model	NOUN
cana-5262	78	16	,	,	PUNCT
cana-5262	78	17	making	make	VERB
cana-5262	78	18	it	it	PRON
cana-5262	78	19	computationally	computationally	ADV
cana-5262	78	20	more	more	ADV
cana-5262	78	21	efficient	efficient	ADJ
cana-5262	78	22	and	and	CCONJ
cana-5262	78	23	less	less	ADV
cana-5262	78	24	prone	prone	ADJ
cana-5262	78	25	to	to	ADP
cana-5262	78	26	noise	noise	NOUN
cana-5262	78	27	.	.	PUNCT
cana-5262	79	1	communications	communication	NOUN
cana-5262	79	2	on	on	ADP
cana-5262	79	3	applied	apply	VERB
cana-5262	79	4	nonlinear	nonlinear	ADJ
cana-5262	79	5	analysis	analysis	NOUN
cana-5262	79	6	issn	issn	NOUN
cana-5262	79	7	:	:	PUNCT
cana-5262	79	8	1074	1074	NUM
cana-5262	79	9	-	-	PUNCT
cana-5262	79	10	133x	133x	NUM
cana-5262	79	11	vol	vol	VERB
cana-5262	79	12	32	32	NUM
cana-5262	79	13	no	no	NOUN
cana-5262	79	14	.	.	PUNCT
cana-5262	80	1	10s	10	NOUN
cana-5262	80	2	(	(	PUNCT
cana-5262	80	3	2025	2025	NUM
cana-5262	80	4	)	)	PUNCT
cana-5262	80	5	1597	1597	NUM
cana-5262	80	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	80	7	the	the	DET
cana-5262	80	8	third	third	ADJ
cana-5262	80	9	phase	phase	NOUN
cana-5262	80	10	,	,	PUNCT
cana-5262	80	11	improved	improve	VERB
cana-5262	80	12	grey	grey	ADJ
cana-5262	80	13	wolf	wolf	PROPN
cana-5262	80	14	optimizer	optimizer	NOUN
cana-5262	80	15	(	(	PUNCT
cana-5262	80	16	igwo	igwo	PROPN
cana-5262	80	17	)	)	PUNCT
cana-5262	80	18	,	,	PUNCT
cana-5262	80	19	takes	take	VERB
cana-5262	80	20	the	the	DET
cana-5262	80	21	feature	feature	NOUN
cana-5262	80	22	-	-	PUNCT
cana-5262	80	23	engineered	engineer	VERB
cana-5262	80	24	dataset	dataset	NOUN
cana-5262	80	25	and	and	CCONJ
cana-5262	80	26	further	further	ADJ
cana-5262	80	27	refines	refine	VERB
cana-5262	80	28	the	the	DET
cana-5262	80	29	feature	feature	NOUN
cana-5262	80	30	selection	selection	NOUN
cana-5262	80	31	process	process	NOUN
cana-5262	80	32	by	by	ADP
cana-5262	80	33	optimizing	optimize	VERB
cana-5262	80	34	the	the	DET
cana-5262	80	35	chosen	choose	VERB
cana-5262	80	36	features	feature	NOUN
cana-5262	80	37	.	.	PUNCT
cana-5262	81	1	igwo	igwo	PROPN
cana-5262	81	2	is	be	AUX
cana-5262	81	3	a	a	DET
cana-5262	81	4	natureinspired	natureinspired	ADJ
cana-5262	81	5	optimization	optimization	NOUN
cana-5262	81	6	algorithm	algorithm	NOUN
cana-5262	81	7	based	base	VERB
cana-5262	81	8	on	on	ADP
cana-5262	81	9	the	the	DET
cana-5262	81	10	hunting	hunt	VERB
cana-5262	81	11	behavior	behavior	NOUN
cana-5262	81	12	of	of	ADP
cana-5262	81	13	grey	grey	ADJ
cana-5262	81	14	wolves	wolf	NOUN
cana-5262	81	15	.	.	PUNCT
cana-5262	82	1	it	it	PRON
cana-5262	82	2	operates	operate	VERB
cana-5262	82	3	by	by	ADP
cana-5262	82	4	initializing	initialize	VERB
cana-5262	82	5	a	a	DET
cana-5262	82	6	population	population	NOUN
cana-5262	82	7	of	of	ADP
cana-5262	82	8	wolves	wolf	NOUN
cana-5262	82	9	,	,	PUNCT
cana-5262	82	10	where	where	SCONJ
cana-5262	82	11	each	each	DET
cana-5262	82	12	wolf	wolf	NOUN
cana-5262	82	13	represents	represent	VERB
cana-5262	82	14	a	a	DET
cana-5262	82	15	potential	potential	ADJ
cana-5262	82	16	solution	solution	NOUN
cana-5262	82	17	to	to	ADP
cana-5262	82	18	the	the	DET
cana-5262	82	19	feature	feature	NOUN
cana-5262	82	20	selection	selection	NOUN
cana-5262	82	21	problem	problem	NOUN
cana-5262	82	22	.	.	PUNCT
cana-5262	83	1	the	the	DET
cana-5262	83	2	wolves	wolf	NOUN
cana-5262	83	3	are	be	AUX
cana-5262	83	4	positioned	position	VERB
cana-5262	83	5	randomly	randomly	ADV
cana-5262	83	6	within	within	ADP
cana-5262	83	7	the	the	DET
cana-5262	83	8	feature	feature	NOUN
cana-5262	83	9	space	space	NOUN
cana-5262	83	10	,	,	PUNCT
cana-5262	83	11	with	with	ADP
cana-5262	83	12	each	each	DET
cana-5262	83	13	position	position	NOUN
cana-5262	83	14	representing	represent	VERB
cana-5262	83	15	a	a	DET
cana-5262	83	16	subset	subset	NOUN
cana-5262	83	17	of	of	ADP
cana-5262	83	18	features	feature	NOUN
cana-5262	83	19	.	.	PUNCT
cana-5262	84	1	the	the	DET
cana-5262	84	2	fitness	fitness	NOUN
cana-5262	84	3	of	of	ADP
cana-5262	84	4	each	each	DET
cana-5262	84	5	wolf	wolf	NOUN
cana-5262	84	6	is	be	AUX
cana-5262	84	7	calculated	calculate	VERB
cana-5262	84	8	based	base	VERB
cana-5262	84	9	on	on	ADP
cana-5262	84	10	how	how	SCONJ
cana-5262	84	11	well	well	ADV
cana-5262	84	12	the	the	DET
cana-5262	84	13	subset	subset	NOUN
cana-5262	84	14	of	of	ADP
cana-5262	84	15	features	feature	NOUN
cana-5262	84	16	it	it	PRON
cana-5262	84	17	represents	represent	VERB
cana-5262	84	18	performs	perform	NOUN
cana-5262	84	19	in	in	ADP
cana-5262	84	20	classification	classification	NOUN
cana-5262	84	21	tasks	task	NOUN
cana-5262	84	22	.	.	PUNCT
cana-5262	85	1	this	this	DET
cana-5262	85	2	fitness	fitness	NOUN
cana-5262	85	3	is	be	AUX
cana-5262	85	4	evaluated	evaluate	VERB
cana-5262	85	5	by	by	ADP
cana-5262	85	6	an	an	DET
cana-5262	85	7	objective	objective	ADJ
cana-5262	85	8	function	function	NOUN
cana-5262	85	9	,	,	PUNCT
cana-5262	85	10	which	which	PRON
cana-5262	85	11	could	could	AUX
cana-5262	85	12	,	,	PUNCT
cana-5262	85	13	for	for	ADP
cana-5262	85	14	example	example	NOUN
cana-5262	85	15	,	,	PUNCT
cana-5262	85	16	reflect	reflect	VERB
cana-5262	85	17	the	the	DET
cana-5262	85	18	classification	classification	NOUN
cana-5262	85	19	accuracy	accuracy	NOUN
cana-5262	85	20	of	of	ADP
cana-5262	85	21	a	a	DET
cana-5262	85	22	random	random	ADJ
cana-5262	85	23	forest	forest	NOUN
cana-5262	85	24	model	model	NOUN
cana-5262	85	25	.	.	PUNCT
cana-5262	86	1	the	the	DET
cana-5262	86	2	wolves	wolf	NOUN
cana-5262	86	3	are	be	AUX
cana-5262	86	4	then	then	ADV
cana-5262	86	5	ranked	rank	VERB
cana-5262	86	6	based	base	VERB
cana-5262	86	7	on	on	ADP
cana-5262	86	8	their	their	PRON
cana-5262	86	9	fitness	fitness	NOUN
cana-5262	86	10	,	,	PUNCT
cana-5262	86	11	with	with	ADP
cana-5262	86	12	the	the	DET
cana-5262	86	13	top	top	ADV
cana-5262	86	14	-	-	PUNCT
cana-5262	86	15	performing	perform	VERB
cana-5262	86	16	wolves	wolf	NOUN
cana-5262	86	17	classified	classify	VERB
cana-5262	86	18	as	as	ADP
cana-5262	86	19	alpha	alpha	NOUN
cana-5262	86	20	,	,	PUNCT
cana-5262	86	21	beta	beta	NOUN
cana-5262	86	22	,	,	PUNCT
cana-5262	86	23	and	and	CCONJ
cana-5262	86	24	delta	delta	NOUN
cana-5262	86	25	wolves	wolf	NOUN
cana-5262	86	26	.	.	PUNCT
cana-5262	87	1	these	these	DET
cana-5262	87	2	wolves	wolf	NOUN
cana-5262	87	3	guide	guide	VERB
cana-5262	87	4	the	the	DET
cana-5262	87	5	search	search	NOUN
cana-5262	87	6	for	for	ADP
cana-5262	87	7	the	the	DET
cana-5262	87	8	optimal	optimal	ADJ
cana-5262	87	9	feature	feature	NOUN
cana-5262	87	10	set	set	VERB
cana-5262	87	11	.	.	PUNCT
cana-5262	88	1	the	the	DET
cana-5262	88	2	positions	position	NOUN
cana-5262	88	3	of	of	ADP
cana-5262	88	4	the	the	DET
cana-5262	88	5	wolves	wolf	NOUN
cana-5262	88	6	are	be	AUX
cana-5262	88	7	updated	update	VERB
cana-5262	88	8	by	by	ADP
cana-5262	88	9	combining	combine	VERB
cana-5262	88	10	the	the	DET
cana-5262	88	11	positions	position	NOUN
cana-5262	88	12	of	of	ADP
cana-5262	88	13	the	the	DET
cana-5262	88	14	best	well	ADV
cana-5262	88	15	-	-	PUNCT
cana-5262	88	16	performing	perform	VERB
cana-5262	88	17	wolves	wolf	NOUN
cana-5262	88	18	(	(	PUNCT
cana-5262	88	19	alpha	alpha	NOUN
cana-5262	88	20	,	,	PUNCT
cana-5262	88	21	beta	beta	NOUN
cana-5262	88	22	,	,	PUNCT
cana-5262	88	23	and	and	CCONJ
cana-5262	88	24	delta	delta	NOUN
cana-5262	88	25	)	)	PUNCT
cana-5262	88	26	,	,	PUNCT
cana-5262	88	27	and	and	CCONJ
cana-5262	88	28	a	a	DET
cana-5262	88	29	mutation	mutation	NOUN
cana-5262	88	30	process	process	NOUN
cana-5262	88	31	is	be	AUX
cana-5262	88	32	applied	apply	VERB
cana-5262	88	33	to	to	PART
cana-5262	88	34	maintain	maintain	VERB
cana-5262	88	35	diversity	diversity	NOUN
cana-5262	88	36	in	in	ADP
cana-5262	88	37	the	the	DET
cana-5262	88	38	wolf	wolf	PROPN
cana-5262	88	39	population	population	NOUN
cana-5262	88	40	,	,	PUNCT
cana-5262	88	41	preventing	prevent	VERB
cana-5262	88	42	premature	premature	ADJ
cana-5262	88	43	convergence	convergence	NOUN
cana-5262	88	44	to	to	ADP
cana-5262	88	45	suboptimal	suboptimal	ADJ
cana-5262	88	46	solutions	solution	NOUN
cana-5262	88	47	.	.	PUNCT
cana-5262	89	1	this	this	DET
cana-5262	89	2	iterative	iterative	NOUN
cana-5262	89	3	process	process	NOUN
cana-5262	89	4	continues	continue	VERB
cana-5262	89	5	until	until	SCONJ
cana-5262	89	6	the	the	DET
cana-5262	89	7	algorithm	algorithm	NOUN
cana-5262	89	8	converges	converge	VERB
cana-5262	89	9	on	on	ADP
cana-5262	89	10	the	the	DET
cana-5262	89	11	best	good	ADJ
cana-5262	89	12	subset	subset	NOUN
cana-5262	89	13	of	of	ADP
cana-5262	89	14	features	feature	NOUN
cana-5262	89	15	,	,	PUNCT
cana-5262	89	16	which	which	PRON
cana-5262	89	17	is	be	AUX
cana-5262	89	18	then	then	ADV
cana-5262	89	19	passed	pass	VERB
cana-5262	89	20	to	to	ADP
cana-5262	89	21	the	the	DET
cana-5262	89	22	next	next	ADJ
cana-5262	89	23	phase	phase	NOUN
cana-5262	89	24	.	.	PUNCT
cana-5262	90	1	finally	finally	ADV
cana-5262	90	2	,	,	PUNCT
cana-5262	90	3	the	the	DET
cana-5262	90	4	classification	classification	NOUN
cana-5262	90	5	phase	phase	NOUN
cana-5262	90	6	uses	use	VERB
cana-5262	90	7	the	the	DET
cana-5262	90	8	best	good	ADJ
cana-5262	90	9	features	feature	NOUN
cana-5262	90	10	identified	identify	VERB
cana-5262	90	11	by	by	ADP
cana-5262	90	12	igwo	igwo	NOUN
cana-5262	90	13	to	to	PART
cana-5262	90	14	train	train	VERB
cana-5262	90	15	a	a	DET
cana-5262	90	16	machine	machine	NOUN
cana-5262	90	17	learning	learn	VERB
cana-5262	90	18	model	model	NOUN
cana-5262	90	19	and	and	CCONJ
cana-5262	90	20	evaluate	evaluate	VERB
cana-5262	90	21	its	its	PRON
cana-5262	90	22	performance	performance	NOUN
cana-5262	90	23	.	.	PUNCT
cana-5262	91	1	in	in	ADP
cana-5262	91	2	this	this	DET
cana-5262	91	3	case	case	NOUN
cana-5262	91	4	,	,	PUNCT
cana-5262	91	5	a	a	DET
cana-5262	91	6	random	random	ADJ
cana-5262	91	7	forest	forest	NOUN
cana-5262	91	8	classifier	classifier	NOUN
cana-5262	91	9	is	be	AUX
cana-5262	91	10	employed	employ	VERB
cana-5262	91	11	,	,	PUNCT
cana-5262	91	12	which	which	PRON
cana-5262	91	13	is	be	AUX
cana-5262	91	14	an	an	DET
cana-5262	91	15	ensemble	ensemble	ADJ
cana-5262	91	16	method	method	NOUN
cana-5262	91	17	that	that	PRON
cana-5262	91	18	constructs	construct	VERB
cana-5262	91	19	a	a	DET
cana-5262	91	20	multitude	multitude	NOUN
cana-5262	91	21	of	of	ADP
cana-5262	91	22	decision	decision	NOUN
cana-5262	91	23	trees	tree	NOUN
cana-5262	91	24	during	during	ADP
cana-5262	91	25	training	training	NOUN
cana-5262	91	26	and	and	CCONJ
cana-5262	91	27	outputs	output	VERB
cana-5262	91	28	the	the	DET
cana-5262	91	29	mode	mode	NOUN
cana-5262	91	30	of	of	ADP
cana-5262	91	31	the	the	DET
cana-5262	91	32	classes	class	NOUN
cana-5262	91	33	for	for	ADP
cana-5262	91	34	classification	classification	NOUN
cana-5262	91	35	tasks	task	NOUN
cana-5262	91	36	.	.	PUNCT
cana-5262	92	1	the	the	DET
cana-5262	92	2	model	model	NOUN
cana-5262	92	3	is	be	AUX
cana-5262	92	4	trained	train	VERB
cana-5262	92	5	using	use	VERB
cana-5262	92	6	the	the	DET
cana-5262	92	7	subset	subset	NOUN
cana-5262	92	8	of	of	ADP
cana-5262	92	9	features	feature	NOUN
cana-5262	92	10	selected	select	VERB
cana-5262	92	11	by	by	ADP
cana-5262	92	12	igwo	igwo	PROPN
cana-5262	92	13	,	,	PUNCT
cana-5262	92	14	and	and	CCONJ
cana-5262	92	15	its	its	PRON
cana-5262	92	16	performance	performance	NOUN
cana-5262	92	17	is	be	AUX
cana-5262	92	18	evaluated	evaluate	VERB
cana-5262	92	19	using	use	VERB
cana-5262	92	20	several	several	ADJ
cana-5262	92	21	classification	classification	NOUN
cana-5262	92	22	metrics	metric	NOUN
cana-5262	92	23	.	.	PUNCT
cana-5262	93	1	these	these	DET
cana-5262	93	2	metrics	metric	NOUN
cana-5262	93	3	include	include	VERB
cana-5262	93	4	accuracy	accuracy	NOUN
cana-5262	93	5	,	,	PUNCT
cana-5262	93	6	precision	precision	NOUN
cana-5262	93	7	,	,	PUNCT
cana-5262	93	8	recall	recall	NOUN
cana-5262	93	9	,	,	PUNCT
cana-5262	93	10	f1	f1	NOUN
cana-5262	93	11	-	-	PUNCT
cana-5262	93	12	score	score	NOUN
cana-5262	93	13	,	,	PUNCT
cana-5262	93	14	and	and	CCONJ
cana-5262	93	15	auc	auc	NOUN
cana-5262	93	16	-	-	PUNCT
cana-5262	93	17	roc	roc	NOUN
cana-5262	93	18	,	,	PUNCT
cana-5262	93	19	which	which	PRON
cana-5262	93	20	provide	provide	VERB
cana-5262	93	21	a	a	DET
cana-5262	93	22	comprehensive	comprehensive	ADJ
cana-5262	93	23	assessment	assessment	NOUN
cana-5262	93	24	of	of	ADP
cana-5262	93	25	the	the	DET
cana-5262	93	26	model	model	NOUN
cana-5262	93	27	’s	’s	PART
cana-5262	93	28	ability	ability	NOUN
cana-5262	93	29	to	to	PART
cana-5262	93	30	correctly	correctly	ADV
cana-5262	93	31	classify	classify	VERB
cana-5262	93	32	normal	normal	ADJ
cana-5262	93	33	and	and	CCONJ
cana-5262	93	34	intrusive	intrusive	ADJ
cana-5262	93	35	events	event	NOUN
cana-5262	93	36	.	.	PUNCT
cana-5262	94	1	accuracy	accuracy	NOUN
cana-5262	94	2	measures	measure	NOUN
cana-5262	94	3	the	the	DET
cana-5262	94	4	overall	overall	ADJ
cana-5262	94	5	correctness	correctness	NOUN
cana-5262	94	6	of	of	ADP
cana-5262	94	7	the	the	DET
cana-5262	94	8	model	model	NOUN
cana-5262	94	9	,	,	PUNCT
cana-5262	94	10	while	while	SCONJ
cana-5262	94	11	precision	precision	NOUN
cana-5262	94	12	and	and	CCONJ
cana-5262	94	13	recall	recall	NOUN
cana-5262	94	14	evaluate	evaluate	VERB
cana-5262	94	15	how	how	SCONJ
cana-5262	94	16	well	well	ADV
cana-5262	94	17	the	the	DET
cana-5262	94	18	model	model	NOUN
cana-5262	94	19	performs	perform	VERB
cana-5262	94	20	in	in	ADP
cana-5262	94	21	terms	term	NOUN
cana-5262	94	22	of	of	ADP
cana-5262	94	23	true	true	ADJ
cana-5262	94	24	positives	positive	NOUN
cana-5262	94	25	and	and	CCONJ
cana-5262	94	26	false	false	ADJ
cana-5262	94	27	negatives	negative	NOUN
cana-5262	94	28	.	.	PUNCT
cana-5262	95	1	the	the	DET
cana-5262	95	2	f1score	f1score	NOUN
cana-5262	95	3	combines	combine	VERB
cana-5262	95	4	precision	precision	NOUN
cana-5262	95	5	and	and	CCONJ
cana-5262	95	6	recall	recall	VERB
cana-5262	95	7	into	into	ADP
cana-5262	95	8	a	a	DET
cana-5262	95	9	single	single	ADJ
cana-5262	95	10	metric	metric	NOUN
cana-5262	95	11	,	,	PUNCT
cana-5262	95	12	and	and	CCONJ
cana-5262	95	13	auc	auc	NOUN
cana-5262	95	14	-	-	PUNCT
cana-5262	95	15	roc	roc	NOUN
cana-5262	95	16	evaluates	evaluate	VERB
cana-5262	95	17	the	the	DET
cana-5262	95	18	model	model	NOUN
cana-5262	95	19	’s	’s	PART
cana-5262	95	20	ability	ability	NOUN
cana-5262	95	21	to	to	PART
cana-5262	95	22	discriminate	discriminate	VERB
cana-5262	95	23	between	between	ADP
cana-5262	95	24	normal	normal	ADJ
cana-5262	95	25	and	and	CCONJ
cana-5262	95	26	intrusive	intrusive	ADJ
cana-5262	95	27	events	event	NOUN
cana-5262	95	28	across	across	ADP
cana-5262	95	29	various	various	ADJ
cana-5262	95	30	thresholds	threshold	NOUN
cana-5262	95	31	.	.	PUNCT
cana-5262	96	1	communications	communication	NOUN
cana-5262	96	2	on	on	ADP
cana-5262	96	3	applied	apply	VERB
cana-5262	96	4	nonlinear	nonlinear	ADJ
cana-5262	96	5	analysis	analysis	NOUN
cana-5262	96	6	issn	issn	NOUN
cana-5262	96	7	:	:	PUNCT
cana-5262	96	8	1074	1074	NUM
cana-5262	96	9	-	-	PUNCT
cana-5262	96	10	133x	133x	NUM
cana-5262	96	11	vol	vol	VERB
cana-5262	96	12	32	32	NUM
cana-5262	96	13	no	no	NOUN
cana-5262	96	14	.	.	PUNCT
cana-5262	97	1	10s	10	NOUN
cana-5262	97	2	(	(	PUNCT
cana-5262	97	3	2025	2025	NUM
cana-5262	97	4	)	)	PUNCT
cana-5262	97	5	1598	1598	NUM
cana-5262	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	97	7	in	in	ADP
cana-5262	97	8	summary	summary	NOUN
cana-5262	97	9	,	,	PUNCT
cana-5262	97	10	the	the	DET
cana-5262	97	11	methodology	methodology	NOUN
cana-5262	97	12	presents	present	VERB
cana-5262	97	13	a	a	DET
cana-5262	97	14	seamless	seamless	ADJ
cana-5262	97	15	integration	integration	NOUN
cana-5262	97	16	of	of	ADP
cana-5262	97	17	preprocessing	preprocessing	NOUN
cana-5262	97	18	,	,	PUNCT
cana-5262	97	19	feature	feature	NOUN
cana-5262	97	20	engineering	engineering	NOUN
cana-5262	97	21	,	,	PUNCT
cana-5262	97	22	igwo	igwo	PROPN
cana-5262	97	23	-	-	PUNCT
cana-5262	97	24	based	base	VERB
cana-5262	97	25	optimization	optimization	NOUN
cana-5262	97	26	,	,	PUNCT
cana-5262	97	27	and	and	CCONJ
cana-5262	97	28	classification	classification	NOUN
cana-5262	97	29	.	.	PUNCT
cana-5262	98	1	the	the	DET
cana-5262	98	2	preprocessing	preprocessing	NOUN
cana-5262	98	3	phase	phase	NOUN
cana-5262	98	4	ensures	ensure	VERB
cana-5262	98	5	that	that	SCONJ
cana-5262	98	6	the	the	DET
cana-5262	98	7	data	data	NOUN
cana-5262	98	8	is	be	AUX
cana-5262	98	9	clean	clean	ADJ
cana-5262	98	10	and	and	CCONJ
cana-5262	98	11	normalized	normalize	VERB
cana-5262	98	12	,	,	PUNCT
cana-5262	98	13	while	while	SCONJ
cana-5262	98	14	feature	feature	NOUN
cana-5262	98	15	engineering	engineering	NOUN
cana-5262	98	16	reduces	reduce	VERB
cana-5262	98	17	dimensionality	dimensionality	NOUN
cana-5262	98	18	and	and	CCONJ
cana-5262	98	19	selects	select	VERB
cana-5262	98	20	the	the	DET
cana-5262	98	21	most	most	ADV
cana-5262	98	22	relevant	relevant	ADJ
cana-5262	98	23	features	feature	NOUN
cana-5262	98	24	.	.	PUNCT
cana-5262	99	1	the	the	DET
cana-5262	99	2	igwo	igwo	PROPN
cana-5262	99	3	algorithm	algorithm	PROPN
cana-5262	99	4	further	far	ADV
cana-5262	99	5	refines	refine	VERB
cana-5262	99	6	the	the	DET
cana-5262	99	7	feature	feature	NOUN
cana-5262	99	8	subset	subset	VERB
cana-5262	99	9	by	by	ADP
cana-5262	99	10	dynamically	dynamically	ADV
cana-5262	99	11	exploring	explore	VERB
cana-5262	99	12	the	the	DET
cana-5262	99	13	feature	feature	NOUN
cana-5262	99	14	space	space	NOUN
cana-5262	99	15	and	and	CCONJ
cana-5262	99	16	optimizing	optimize	VERB
cana-5262	99	17	the	the	DET
cana-5262	99	18	feature	feature	NOUN
cana-5262	99	19	set	set	NOUN
cana-5262	99	20	.	.	PUNCT
cana-5262	100	1	the	the	DET
cana-5262	100	2	final	final	ADJ
cana-5262	100	3	classification	classification	NOUN
cana-5262	100	4	phase	phase	NOUN
cana-5262	100	5	leverages	leverage	VERB
cana-5262	100	6	the	the	DET
cana-5262	100	7	selected	select	VERB
cana-5262	100	8	features	feature	NOUN
cana-5262	100	9	to	to	PART
cana-5262	100	10	train	train	VERB
cana-5262	100	11	a	a	DET
cana-5262	100	12	random	random	ADJ
cana-5262	100	13	forest	forest	NOUN
cana-5262	100	14	model	model	NOUN
cana-5262	100	15	,	,	PUNCT
cana-5262	100	16	which	which	PRON
cana-5262	100	17	is	be	AUX
cana-5262	100	18	evaluated	evaluate	VERB
cana-5262	100	19	using	use	VERB
cana-5262	100	20	standard	standard	ADJ
cana-5262	100	21	metrics	metric	NOUN
cana-5262	100	22	.	.	PUNCT
cana-5262	101	1	this	this	DET
cana-5262	101	2	integrated	integrate	VERB
cana-5262	101	3	approach	approach	NOUN
cana-5262	101	4	aims	aim	VERB
cana-5262	101	5	to	to	PART
cana-5262	101	6	provide	provide	VERB
cana-5262	101	7	an	an	DET
cana-5262	101	8	efficient	efficient	ADJ
cana-5262	101	9	and	and	CCONJ
cana-5262	101	10	robust	robust	ADJ
cana-5262	101	11	intrusion	intrusion	NOUN
cana-5262	101	12	detection	detection	NOUN
cana-5262	101	13	system	system	NOUN
cana-5262	101	14	tailored	tailor	VERB
cana-5262	101	15	to	to	ADP
cana-5262	101	16	the	the	DET
cana-5262	101	17	needs	need	NOUN
cana-5262	101	18	of	of	ADP
cana-5262	101	19	iot	iot	NOUN
cana-5262	101	20	networks	network	NOUN
cana-5262	101	21	,	,	PUNCT
cana-5262	101	22	ensuring	ensure	VERB
cana-5262	101	23	high	high	ADJ
cana-5262	101	24	accuracy	accuracy	NOUN
cana-5262	101	25	and	and	CCONJ
cana-5262	101	26	low	low	ADJ
cana-5262	101	27	false	false	ADJ
cana-5262	101	28	alarm	alarm	NOUN
cana-5262	101	29	rates	rate	NOUN
cana-5262	101	30	.	.	PUNCT
cana-5262	102	1	4	4	NUM
cana-5262	102	2	result	result	NOUN
cana-5262	102	3	and	and	CCONJ
cana-5262	102	4	discussion	discussion	NOUN
cana-5262	102	5	in	in	ADP
cana-5262	102	6	this	this	DET
cana-5262	102	7	study	study	NOUN
cana-5262	102	8	,	,	PUNCT
cana-5262	102	9	a	a	DET
cana-5262	102	10	comprehensive	comprehensive	ADJ
cana-5262	102	11	approach	approach	NOUN
cana-5262	102	12	for	for	ADP
cana-5262	102	13	intrusion	intrusion	NOUN
cana-5262	102	14	detection	detection	NOUN
cana-5262	102	15	in	in	ADP
cana-5262	102	16	iot	iot	PROPN
cana-5262	102	17	networks	network	NOUN
cana-5262	102	18	was	be	AUX
cana-5262	102	19	implemented	implement	VERB
cana-5262	102	20	,	,	PUNCT
cana-5262	102	21	incorporating	incorporate	VERB
cana-5262	102	22	multiple	multiple	ADJ
cana-5262	102	23	advanced	advanced	ADJ
cana-5262	102	24	algorithms	algorithm	NOUN
cana-5262	102	25	:	:	PUNCT
cana-5262	102	26	a	a	DET
cana-5262	102	27	preprocessing	preprocessing	NOUN
cana-5262	102	28	pipeline	pipeline	NOUN
cana-5262	102	29	,	,	PUNCT
cana-5262	102	30	feature	feature	NOUN
cana-5262	102	31	engineering	engineering	NOUN
cana-5262	102	32	,	,	PUNCT
cana-5262	102	33	the	the	DET
cana-5262	102	34	improved	improve	VERB
cana-5262	102	35	grey	grey	NOUN
cana-5262	102	36	wolf	wolf	PROPN
cana-5262	102	37	optimizer	optimizer	NOUN
cana-5262	102	38	(	(	PUNCT
cana-5262	102	39	igwo	igwo	PROPN
cana-5262	102	40	)	)	PUNCT
cana-5262	102	41	,	,	PUNCT
cana-5262	102	42	and	and	CCONJ
cana-5262	102	43	classification	classification	NOUN
cana-5262	102	44	using	use	VERB
cana-5262	102	45	a	a	DET
cana-5262	102	46	random	random	ADJ
cana-5262	102	47	forest	forest	NOUN
cana-5262	102	48	model	model	NOUN
cana-5262	102	49	.	.	PUNCT
cana-5262	103	1	the	the	DET
cana-5262	103	2	overall	overall	ADJ
cana-5262	103	3	goal	goal	NOUN
cana-5262	103	4	was	be	AUX
cana-5262	103	5	to	to	PART
cana-5262	103	6	optimize	optimize	VERB
cana-5262	103	7	feature	feature	NOUN
cana-5262	103	8	selection	selection	NOUN
cana-5262	103	9	and	and	CCONJ
cana-5262	103	10	improve	improve	VERB
cana-5262	103	11	the	the	DET
cana-5262	103	12	detection	detection	NOUN
cana-5262	103	13	of	of	ADP
cana-5262	103	14	intrusions	intrusion	NOUN
cana-5262	103	15	while	while	SCONJ
cana-5262	103	16	minimizing	minimize	VERB
cana-5262	103	17	false	false	ADJ
cana-5262	103	18	positives	positive	NOUN
cana-5262	103	19	.	.	PUNCT
cana-5262	104	1	the	the	DET
cana-5262	104	2	results	result	NOUN
cana-5262	104	3	are	be	AUX
cana-5262	104	4	presented	present	VERB
cana-5262	104	5	in	in	ADP
cana-5262	104	6	two	two	NUM
cana-5262	104	7	primary	primary	ADJ
cana-5262	104	8	visualizations	visualization	NOUN
cana-5262	104	9	:	:	PUNCT
cana-5262	104	10	the	the	DET
cana-5262	104	11	roc	roc	PROPN
cana-5262	104	12	curve	curve	NOUN
cana-5262	104	13	and	and	CCONJ
cana-5262	104	14	the	the	DET
cana-5262	104	15	igwo	igwo	PROPN
cana-5262	104	16	convergence	convergence	NOUN
cana-5262	104	17	curve	curve	NOUN
cana-5262	104	18	,	,	PUNCT
cana-5262	104	19	which	which	PRON
cana-5262	104	20	provide	provide	VERB
cana-5262	104	21	valuable	valuable	ADJ
cana-5262	104	22	insights	insight	NOUN
cana-5262	104	23	into	into	ADP
cana-5262	104	24	the	the	DET
cana-5262	104	25	model	model	NOUN
cana-5262	104	26	's	's	PART
cana-5262	104	27	performance	performance	NOUN
cana-5262	104	28	and	and	CCONJ
cana-5262	104	29	the	the	DET
cana-5262	104	30	optimization	optimization	NOUN
cana-5262	104	31	process	process	NOUN
cana-5262	104	32	.	.	PUNCT
cana-5262	105	1	4.1	4.1	NUM
cana-5262	105	2	preprocessing	preprocessing	NOUN
cana-5262	105	3	and	and	CCONJ
cana-5262	105	4	feature	feature	NOUN
cana-5262	105	5	engineering	engineering	NOUN
cana-5262	105	6	results	result	VERB
cana-5262	105	7	the	the	DET
cana-5262	105	8	preprocessing	preprocessing	NOUN
cana-5262	105	9	phase	phase	NOUN
cana-5262	105	10	served	serve	VERB
cana-5262	105	11	as	as	ADP
cana-5262	105	12	the	the	DET
cana-5262	105	13	foundational	foundational	ADJ
cana-5262	105	14	step	step	NOUN
cana-5262	105	15	for	for	ADP
cana-5262	105	16	ensuring	ensure	VERB
cana-5262	105	17	data	datum	NOUN
cana-5262	105	18	quality	quality	NOUN
cana-5262	105	19	and	and	CCONJ
cana-5262	105	20	consistency	consistency	NOUN
cana-5262	105	21	.	.	PUNCT
cana-5262	106	1	the	the	DET
cana-5262	106	2	dataset	dataset	VERB
cana-5262	106	3	underwent	underwent	NOUN
cana-5262	106	4	multiple	multiple	ADJ
cana-5262	106	5	operations	operation	NOUN
cana-5262	106	6	,	,	PUNCT
cana-5262	106	7	including	include	VERB
cana-5262	106	8	handling	handle	VERB
cana-5262	106	9	missing	miss	VERB
cana-5262	106	10	values	value	NOUN
cana-5262	106	11	,	,	PUNCT
cana-5262	106	12	outlier	outlier	NOUN
cana-5262	106	13	removal	removal	NOUN
cana-5262	106	14	,	,	PUNCT
cana-5262	106	15	and	and	CCONJ
cana-5262	106	16	normalization	normalization	NOUN
cana-5262	106	17	.	.	PUNCT
cana-5262	107	1	the	the	DET
cana-5262	107	2	removal	removal	NOUN
cana-5262	107	3	of	of	ADP
cana-5262	107	4	outliers	outlier	NOUN
cana-5262	107	5	using	use	VERB
cana-5262	107	6	the	the	DET
cana-5262	107	7	interquartile	interquartile	ADJ
cana-5262	107	8	range	range	NOUN
cana-5262	107	9	(	(	PUNCT
cana-5262	107	10	iqr	iqr	NOUN
cana-5262	107	11	)	)	PUNCT
cana-5262	107	12	method	method	NOUN
cana-5262	107	13	helped	help	VERB
cana-5262	107	14	ensure	ensure	VERB
cana-5262	107	15	that	that	SCONJ
cana-5262	107	16	the	the	DET
cana-5262	107	17	dataset	dataset	NOUN
cana-5262	107	18	represented	represent	VERB
cana-5262	107	19	only	only	ADV
cana-5262	107	20	valid	valid	ADJ
cana-5262	107	21	data	datum	NOUN
cana-5262	107	22	points	point	NOUN
cana-5262	107	23	,	,	PUNCT
cana-5262	107	24	reducing	reduce	VERB
cana-5262	107	25	the	the	DET
cana-5262	107	26	risk	risk	NOUN
cana-5262	107	27	of	of	ADP
cana-5262	107	28	skewed	skewed	ADJ
cana-5262	107	29	results	result	NOUN
cana-5262	107	30	.	.	PUNCT
cana-5262	108	1	normalization	normalization	NOUN
cana-5262	108	2	was	be	AUX
cana-5262	108	3	performed	perform	VERB
cana-5262	108	4	to	to	PART
cana-5262	108	5	standardize	standardize	VERB
cana-5262	108	6	the	the	DET
cana-5262	108	7	features	feature	NOUN
cana-5262	108	8	,	,	PUNCT
cana-5262	108	9	allowing	allow	VERB
cana-5262	108	10	for	for	ADP
cana-5262	108	11	uniformity	uniformity	NOUN
cana-5262	108	12	in	in	ADP
cana-5262	108	13	scale	scale	NOUN
cana-5262	108	14	,	,	PUNCT
cana-5262	108	15	which	which	PRON
cana-5262	108	16	is	be	AUX
cana-5262	108	17	essential	essential	ADJ
cana-5262	108	18	for	for	ADP
cana-5262	108	19	the	the	DET
cana-5262	108	20	performance	performance	NOUN
cana-5262	108	21	of	of	ADP
cana-5262	108	22	machine	machine	NOUN
cana-5262	108	23	learning	learning	NOUN
cana-5262	108	24	models	model	NOUN
cana-5262	108	25	.	.	PUNCT
cana-5262	109	1	after	after	ADP
cana-5262	109	2	preprocessing	preprocesse	VERB
cana-5262	109	3	,	,	PUNCT
cana-5262	109	4	feature	feature	NOUN
cana-5262	109	5	engineering	engineering	NOUN
cana-5262	109	6	played	play	VERB
cana-5262	109	7	a	a	DET
cana-5262	109	8	crucial	crucial	ADJ
cana-5262	109	9	role	role	NOUN
cana-5262	109	10	in	in	ADP
cana-5262	109	11	enhancing	enhance	VERB
cana-5262	109	12	the	the	DET
cana-5262	109	13	dataset	dataset	NOUN
cana-5262	109	14	's	's	PART
cana-5262	109	15	informative	informative	ADJ
cana-5262	109	16	value	value	NOUN
cana-5262	109	17	.	.	PUNCT
cana-5262	110	1	mutual	mutual	ADJ
cana-5262	110	2	information	information	NOUN
cana-5262	110	3	was	be	AUX
cana-5262	110	4	used	use	VERB
cana-5262	110	5	to	to	PART
cana-5262	110	6	select	select	VERB
cana-5262	110	7	the	the	DET
cana-5262	110	8	most	most	ADV
cana-5262	110	9	relevant	relevant	ADJ
cana-5262	110	10	features	feature	NOUN
cana-5262	110	11	,	,	PUNCT
cana-5262	110	12	ensuring	ensure	VERB
cana-5262	110	13	that	that	SCONJ
cana-5262	110	14	only	only	ADV
cana-5262	110	15	those	those	PRON
cana-5262	110	16	with	with	ADP
cana-5262	110	17	the	the	DET
cana-5262	110	18	highest	high	ADJ
cana-5262	110	19	correlation	correlation	NOUN
cana-5262	110	20	to	to	ADP
cana-5262	110	21	the	the	DET
cana-5262	110	22	target	target	NOUN
cana-5262	110	23	(	(	PUNCT
cana-5262	110	24	intrusion	intrusion	NOUN
cana-5262	110	25	detection	detection	NOUN
cana-5262	110	26	)	)	PUNCT
cana-5262	110	27	were	be	AUX
cana-5262	110	28	retained	retain	VERB
cana-5262	110	29	.	.	PUNCT
cana-5262	111	1	dimensionality	dimensionality	NOUN
cana-5262	111	2	reduction	reduction	NOUN
cana-5262	111	3	using	use	VERB
cana-5262	111	4	pca	pca	NOUN
cana-5262	111	5	further	far	ADV
cana-5262	111	6	simplified	simplify	VERB
cana-5262	111	7	the	the	DET
cana-5262	111	8	dataset	dataset	NOUN
cana-5262	111	9	,	,	PUNCT
cana-5262	111	10	retaining	retain	VERB
cana-5262	111	11	the	the	DET
cana-5262	111	12	most	most	ADV
cana-5262	111	13	significant	significant	ADJ
cana-5262	111	14	variance	variance	NOUN
cana-5262	111	15	while	while	SCONJ
cana-5262	111	16	reducing	reduce	VERB
cana-5262	111	17	the	the	DET
cana-5262	111	18	number	number	NOUN
cana-5262	111	19	of	of	ADP
cana-5262	111	20	features	feature	NOUN
cana-5262	111	21	.	.	PUNCT
cana-5262	112	1	these	these	DET
cana-5262	112	2	techniques	technique	NOUN
cana-5262	112	3	helped	help	VERB
cana-5262	112	4	in	in	ADP
cana-5262	112	5	creating	create	VERB
cana-5262	112	6	a	a	DET
cana-5262	112	7	refined	refined	ADJ
cana-5262	112	8	feature	feature	NOUN
cana-5262	112	9	set	set	NOUN
cana-5262	112	10	that	that	PRON
cana-5262	112	11	was	be	AUX
cana-5262	112	12	then	then	ADV
cana-5262	112	13	subjected	subject	VERB
cana-5262	112	14	to	to	ADP
cana-5262	112	15	the	the	DET
cana-5262	112	16	igwo	igwo	ADJ
cana-5262	112	17	algorithm	algorithm	NOUN
cana-5262	112	18	for	for	ADP
cana-5262	112	19	further	further	ADJ
cana-5262	112	20	optimization	optimization	NOUN
cana-5262	112	21	.	.	PUNCT
cana-5262	113	1	4.2	4.2	NUM
cana-5262	113	2	improved	improve	VERB
cana-5262	113	3	grey	grey	ADJ
cana-5262	113	4	wolf	wolf	PROPN
cana-5262	113	5	optimizer	optimizer	NOUN
cana-5262	113	6	(	(	PUNCT
cana-5262	113	7	igwo	igwo	PROPN
cana-5262	113	8	)	)	PUNCT
cana-5262	113	9	results	result	VERB
cana-5262	113	10	the	the	DET
cana-5262	113	11	igwo	igwo	PROPN
cana-5262	113	12	algorithm	algorithm	NOUN
cana-5262	113	13	was	be	AUX
cana-5262	113	14	used	use	VERB
cana-5262	113	15	to	to	PART
cana-5262	113	16	dynamically	dynamically	ADV
cana-5262	113	17	explore	explore	VERB
cana-5262	113	18	the	the	DET
cana-5262	113	19	feature	feature	NOUN
cana-5262	113	20	space	space	NOUN
cana-5262	113	21	and	and	CCONJ
cana-5262	113	22	optimize	optimize	VERB
cana-5262	113	23	feature	feature	NOUN
cana-5262	113	24	selection	selection	NOUN
cana-5262	113	25	.	.	PUNCT
cana-5262	114	1	the	the	DET
cana-5262	114	2	igwo	igwo	PROPN
cana-5262	114	3	convergence	convergence	NOUN
cana-5262	114	4	curve	curve	NOUN
cana-5262	114	5	provides	provide	VERB
cana-5262	114	6	a	a	DET
cana-5262	114	7	clear	clear	ADJ
cana-5262	114	8	representation	representation	NOUN
cana-5262	114	9	of	of	ADP
cana-5262	114	10	how	how	SCONJ
cana-5262	114	11	the	the	DET
cana-5262	114	12	algorithm	algorithm	NOUN
cana-5262	114	13	communications	communication	NOUN
cana-5262	114	14	on	on	ADP
cana-5262	114	15	applied	apply	VERB
cana-5262	114	16	nonlinear	nonlinear	ADJ
cana-5262	114	17	analysis	analysis	NOUN
cana-5262	114	18	issn	issn	NOUN
cana-5262	114	19	:	:	PUNCT
cana-5262	114	20	1074	1074	NUM
cana-5262	114	21	-	-	PUNCT
cana-5262	114	22	133x	133x	NUM
cana-5262	114	23	vol	vol	VERB
cana-5262	114	24	32	32	NUM
cana-5262	114	25	no	no	NOUN
cana-5262	114	26	.	.	PUNCT
cana-5262	115	1	10s	10	NOUN
cana-5262	115	2	(	(	PUNCT
cana-5262	115	3	2025	2025	NUM
cana-5262	115	4	)	)	PUNCT
cana-5262	115	5	1599	1599	NUM
cana-5262	115	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	115	7	refined	refine	VERB
cana-5262	115	8	the	the	DET
cana-5262	115	9	feature	feature	NOUN
cana-5262	115	10	subset	subset	VERB
cana-5262	115	11	over	over	ADP
cana-5262	115	12	time	time	NOUN
cana-5262	115	13	.	.	PUNCT
cana-5262	116	1	initially	initially	ADV
cana-5262	116	2	,	,	PUNCT
cana-5262	116	3	there	there	PRON
cana-5262	116	4	was	be	VERB
cana-5262	116	5	a	a	DET
cana-5262	116	6	sharp	sharp	ADJ
cana-5262	116	7	drop	drop	NOUN
cana-5262	116	8	in	in	ADP
cana-5262	116	9	the	the	DET
cana-5262	116	10	best	good	ADJ
cana-5262	116	11	score	score	NOUN
cana-5262	116	12	,	,	PUNCT
cana-5262	116	13	suggesting	suggest	VERB
cana-5262	116	14	that	that	SCONJ
cana-5262	116	15	igwo	igwo	PROPN
cana-5262	116	16	was	be	AUX
cana-5262	116	17	making	make	VERB
cana-5262	116	18	significant	significant	ADJ
cana-5262	116	19	improvements	improvement	NOUN
cana-5262	116	20	in	in	ADP
cana-5262	116	21	feature	feature	NOUN
cana-5262	116	22	selection	selection	NOUN
cana-5262	116	23	.	.	PUNCT
cana-5262	117	1	the	the	DET
cana-5262	117	2	curve	curve	NOUN
cana-5262	117	3	indicates	indicate	VERB
cana-5262	117	4	that	that	SCONJ
cana-5262	117	5	by	by	ADP
cana-5262	117	6	the	the	DET
cana-5262	117	7	20th	20th	ADJ
cana-5262	117	8	iteration	iteration	NOUN
cana-5262	117	9	,	,	PUNCT
cana-5262	117	10	the	the	DET
cana-5262	117	11	algorithm	algorithm	NOUN
cana-5262	117	12	had	have	AUX
cana-5262	117	13	already	already	ADV
cana-5262	117	14	found	find	VERB
cana-5262	117	15	an	an	DET
cana-5262	117	16	optimal	optimal	ADJ
cana-5262	117	17	or	or	CCONJ
cana-5262	117	18	near	near	ADV
cana-5262	117	19	-	-	PUNCT
cana-5262	117	20	optimal	optimal	ADJ
cana-5262	117	21	feature	feature	NOUN
cana-5262	117	22	subset	subset	NOUN
cana-5262	117	23	,	,	PUNCT
cana-5262	117	24	as	as	SCONJ
cana-5262	117	25	evidenced	evidence	VERB
cana-5262	117	26	by	by	ADP
cana-5262	117	27	the	the	DET
cana-5262	117	28	flattening	flattening	NOUN
cana-5262	117	29	of	of	ADP
cana-5262	117	30	the	the	DET
cana-5262	117	31	curve	curve	NOUN
cana-5262	117	32	afterward	afterward	ADV
cana-5262	117	33	.	.	PUNCT
cana-5262	118	1	this	this	DET
cana-5262	118	2	rapid	rapid	ADJ
cana-5262	118	3	convergence	convergence	NOUN
cana-5262	118	4	implies	imply	VERB
cana-5262	118	5	that	that	SCONJ
cana-5262	118	6	the	the	DET
cana-5262	118	7	igwo	igwo	NOUN
cana-5262	118	8	was	be	AUX
cana-5262	118	9	able	able	ADJ
cana-5262	118	10	to	to	PART
cana-5262	118	11	efficiently	efficiently	ADV
cana-5262	118	12	explore	explore	VERB
cana-5262	118	13	the	the	DET
cana-5262	118	14	feature	feature	NOUN
cana-5262	118	15	space	space	NOUN
cana-5262	118	16	and	and	CCONJ
cana-5262	118	17	identify	identify	VERB
cana-5262	118	18	the	the	DET
cana-5262	118	19	best	well	ADV
cana-5262	118	20	-	-	PUNCT
cana-5262	118	21	performing	perform	VERB
cana-5262	118	22	features	feature	NOUN
cana-5262	118	23	for	for	ADP
cana-5262	118	24	intrusion	intrusion	NOUN
cana-5262	118	25	detection	detection	NOUN
cana-5262	118	26	.	.	PUNCT
cana-5262	119	1	figure	figure	NOUN
cana-5262	119	2	2	2	NUM
cana-5262	119	3	igwo	igwo	PROPN
cana-5262	119	4	convergence	convergence	NOUN
cana-5262	119	5	curve	curve	VERB
cana-5262	119	6	the	the	DET
cana-5262	119	7	efficiency	efficiency	NOUN
cana-5262	119	8	of	of	ADP
cana-5262	119	9	the	the	DET
cana-5262	119	10	igwo	igwo	PROPN
cana-5262	119	11	algorithm	algorithm	NOUN
cana-5262	119	12	is	be	AUX
cana-5262	119	13	vital	vital	ADJ
cana-5262	119	14	,	,	PUNCT
cana-5262	119	15	as	as	SCONJ
cana-5262	119	16	it	it	PRON
cana-5262	119	17	allows	allow	VERB
cana-5262	119	18	for	for	ADP
cana-5262	119	19	the	the	DET
cana-5262	119	20	identification	identification	NOUN
cana-5262	119	21	of	of	ADP
cana-5262	119	22	the	the	DET
cana-5262	119	23	most	most	ADV
cana-5262	119	24	relevant	relevant	ADJ
cana-5262	119	25	features	feature	NOUN
cana-5262	119	26	without	without	ADP
cana-5262	119	27	the	the	DET
cana-5262	119	28	computational	computational	ADJ
cana-5262	119	29	burden	burden	NOUN
cana-5262	119	30	of	of	ADP
cana-5262	119	31	evaluating	evaluate	VERB
cana-5262	119	32	all	all	DET
cana-5262	119	33	possible	possible	ADJ
cana-5262	119	34	combinations	combination	NOUN
cana-5262	119	35	.	.	PUNCT
cana-5262	120	1	this	this	DET
cana-5262	120	2	step	step	NOUN
cana-5262	120	3	is	be	AUX
cana-5262	120	4	critical	critical	ADJ
cana-5262	120	5	in	in	ADP
cana-5262	120	6	reducing	reduce	VERB
cana-5262	120	7	the	the	DET
cana-5262	120	8	dimensionality	dimensionality	NOUN
cana-5262	120	9	of	of	ADP
cana-5262	120	10	the	the	DET
cana-5262	120	11	problem	problem	NOUN
cana-5262	120	12	and	and	CCONJ
cana-5262	120	13	enhancing	enhance	VERB
cana-5262	120	14	the	the	DET
cana-5262	120	15	classification	classification	NOUN
cana-5262	120	16	performance	performance	NOUN
cana-5262	120	17	of	of	ADP
cana-5262	120	18	the	the	DET
cana-5262	120	19	final	final	ADJ
cana-5262	120	20	model	model	NOUN
cana-5262	120	21	.	.	PUNCT
cana-5262	121	1	4.3	4.3	NUM
cana-5262	121	2	classification	classification	NOUN
cana-5262	121	3	and	and	CCONJ
cana-5262	121	4	performance	performance	NOUN
cana-5262	121	5	metrics	metric	NOUN
cana-5262	121	6	after	after	ADP
cana-5262	121	7	feature	feature	NOUN
cana-5262	121	8	optimization	optimization	NOUN
cana-5262	121	9	via	via	ADP
cana-5262	121	10	igwo	igwo	PROPN
cana-5262	121	11	,	,	PUNCT
cana-5262	121	12	the	the	DET
cana-5262	121	13	final	final	ADJ
cana-5262	121	14	step	step	NOUN
cana-5262	121	15	involved	involve	VERB
cana-5262	121	16	training	train	VERB
cana-5262	121	17	a	a	DET
cana-5262	121	18	random	random	ADJ
cana-5262	121	19	forest	forest	NOUN
cana-5262	121	20	classifier	classifier	NOUN
cana-5262	121	21	using	use	VERB
cana-5262	121	22	the	the	DET
cana-5262	121	23	selected	select	VERB
cana-5262	121	24	features	feature	NOUN
cana-5262	121	25	.	.	PUNCT
cana-5262	122	1	the	the	DET
cana-5262	122	2	classifier	classifier	NOUN
cana-5262	122	3	was	be	AUX
cana-5262	122	4	evaluated	evaluate	VERB
cana-5262	122	5	based	base	VERB
cana-5262	122	6	on	on	ADP
cana-5262	122	7	several	several	ADJ
cana-5262	122	8	performance	performance	NOUN
cana-5262	122	9	metrics	metric	NOUN
cana-5262	122	10	:	:	PUNCT
cana-5262	122	11	accuracy	accuracy	NOUN
cana-5262	122	12	,	,	PUNCT
cana-5262	122	13	precision	precision	NOUN
cana-5262	122	14	,	,	PUNCT
cana-5262	122	15	recall	recall	NOUN
cana-5262	122	16	,	,	PUNCT
cana-5262	122	17	f1	f1	NOUN
cana-5262	122	18	-	-	PUNCT
cana-5262	122	19	score	score	NOUN
cana-5262	122	20	,	,	PUNCT
cana-5262	122	21	and	and	CCONJ
cana-5262	122	22	auc	auc	NOUN
cana-5262	122	23	-	-	PUNCT
cana-5262	122	24	roc	roc	NOUN
cana-5262	122	25	.	.	PUNCT
cana-5262	123	1	the	the	DET
cana-5262	123	2	roc	roc	PROPN
cana-5262	123	3	curve	curve	NOUN
cana-5262	123	4	depicted	depict	VERB
cana-5262	123	5	the	the	DET
cana-5262	123	6	trade	trade	NOUN
cana-5262	123	7	-	-	PUNCT
cana-5262	123	8	off	off	NOUN
cana-5262	123	9	between	between	ADP
cana-5262	123	10	the	the	DET
cana-5262	123	11	true	true	ADJ
cana-5262	123	12	positive	positive	ADJ
cana-5262	123	13	rate	rate	NOUN
cana-5262	123	14	(	(	PUNCT
cana-5262	123	15	tpr	tpr	NOUN
cana-5262	123	16	)	)	PUNCT
cana-5262	123	17	and	and	CCONJ
cana-5262	123	18	false	false	ADJ
cana-5262	123	19	positive	positive	ADJ
cana-5262	123	20	rate	rate	NOUN
cana-5262	123	21	(	(	PUNCT
cana-5262	123	22	fpr	fpr	NOUN
cana-5262	123	23	)	)	PUNCT
cana-5262	123	24	,	,	PUNCT
cana-5262	123	25	providing	provide	VERB
cana-5262	123	26	a	a	DET
cana-5262	123	27	comprehensive	comprehensive	ADJ
cana-5262	123	28	evaluation	evaluation	NOUN
cana-5262	123	29	of	of	ADP
cana-5262	123	30	the	the	DET
cana-5262	123	31	model	model	NOUN
cana-5262	123	32	's	's	PART
cana-5262	123	33	ability	ability	NOUN
cana-5262	123	34	to	to	PART
cana-5262	123	35	correctly	correctly	ADV
cana-5262	123	36	classify	classify	VERB
cana-5262	123	37	intrusions	intrusion	NOUN
cana-5262	123	38	and	and	CCONJ
cana-5262	123	39	normal	normal	ADJ
cana-5262	123	40	events	event	NOUN
cana-5262	123	41	.	.	PUNCT
cana-5262	124	1	the	the	DET
cana-5262	124	2	auc	auc	NOUN
cana-5262	124	3	(	(	PUNCT
cana-5262	124	4	area	area	NOUN
cana-5262	124	5	under	under	ADP
cana-5262	124	6	the	the	DET
cana-5262	124	7	curve	curve	NOUN
cana-5262	124	8	)	)	PUNCT
cana-5262	124	9	score	score	NOUN
cana-5262	124	10	of	of	ADP
cana-5262	124	11	0.95	0.95	NUM
cana-5262	124	12	highlights	highlight	NOUN
cana-5262	124	13	the	the	DET
cana-5262	124	14	excellent	excellent	ADJ
cana-5262	124	15	discriminatory	discriminatory	ADJ
cana-5262	124	16	power	power	NOUN
cana-5262	124	17	of	of	ADP
cana-5262	124	18	the	the	DET
cana-5262	124	19	model	model	NOUN
cana-5262	124	20	,	,	PUNCT
cana-5262	124	21	suggesting	suggest	VERB
cana-5262	124	22	that	that	SCONJ
cana-5262	124	23	the	the	DET
cana-5262	124	24	classifier	classifier	NOUN
cana-5262	124	25	performs	perform	VERB
cana-5262	124	26	exceptionally	exceptionally	ADV
cana-5262	124	27	well	well	ADV
cana-5262	124	28	in	in	ADP
cana-5262	124	29	distinguishing	distinguish	VERB
cana-5262	124	30	between	between	ADP
cana-5262	124	31	the	the	DET
cana-5262	124	32	two	two	NUM
cana-5262	124	33	classes	class	NOUN
cana-5262	124	34	(	(	PUNCT
cana-5262	124	35	normal	normal	ADJ
cana-5262	124	36	and	and	CCONJ
cana-5262	124	37	intrusive	intrusive	ADJ
cana-5262	124	38	)	)	PUNCT
cana-5262	124	39	.	.	PUNCT
cana-5262	125	1	a	a	DET
cana-5262	125	2	high	high	ADJ
cana-5262	125	3	auc	auc	NOUN
cana-5262	125	4	indicates	indicate	VERB
cana-5262	125	5	that	that	SCONJ
cana-5262	125	6	the	the	DET
cana-5262	125	7	model	model	NOUN
cana-5262	125	8	can	can	AUX
cana-5262	125	9	successfully	successfully	ADV
cana-5262	125	10	detect	detect	VERB
cana-5262	125	11	intrusions	intrusion	NOUN
cana-5262	125	12	while	while	SCONJ
cana-5262	125	13	keeping	keep	VERB
cana-5262	125	14	false	false	ADJ
cana-5262	125	15	alarms	alarm	NOUN
cana-5262	125	16	to	to	ADP
cana-5262	125	17	a	a	DET
cana-5262	125	18	minimum	minimum	NOUN
cana-5262	125	19	.	.	PUNCT
cana-5262	126	1	the	the	DET
cana-5262	126	2	model	model	NOUN
cana-5262	126	3	's	's	PART
cana-5262	126	4	ability	ability	NOUN
cana-5262	126	5	to	to	PART
cana-5262	126	6	classify	classify	VERB
cana-5262	126	7	with	with	ADP
cana-5262	126	8	high	high	ADJ
cana-5262	126	9	accuracy	accuracy	NOUN
cana-5262	126	10	,	,	PUNCT
cana-5262	126	11	as	as	SCONJ
cana-5262	126	12	suggested	suggest	VERB
cana-5262	126	13	by	by	ADP
cana-5262	126	14	the	the	DET
cana-5262	126	15	roc	roc	PROPN
cana-5262	126	16	curve	curve	NOUN
cana-5262	126	17	,	,	PUNCT
cana-5262	126	18	indicates	indicate	VERB
cana-5262	126	19	that	that	SCONJ
cana-5262	126	20	the	the	DET
cana-5262	126	21	optimized	optimize	VERB
cana-5262	126	22	feature	feature	NOUN
cana-5262	126	23	set	set	VERB
cana-5262	126	24	selected	select	VERB
cana-5262	126	25	through	through	ADP
cana-5262	126	26	igwo	igwo	PROPN
cana-5262	126	27	is	be	AUX
cana-5262	126	28	indeed	indeed	ADV
cana-5262	126	29	effective	effective	ADJ
cana-5262	126	30	.	.	PUNCT
cana-5262	127	1	communications	communication	NOUN
cana-5262	127	2	on	on	ADP
cana-5262	127	3	applied	apply	VERB
cana-5262	127	4	nonlinear	nonlinear	ADJ
cana-5262	127	5	analysis	analysis	NOUN
cana-5262	127	6	issn	issn	NOUN
cana-5262	127	7	:	:	PUNCT
cana-5262	127	8	1074	1074	NUM
cana-5262	127	9	-	-	PUNCT
cana-5262	127	10	133x	133x	NUM
cana-5262	127	11	vol	vol	VERB
cana-5262	127	12	32	32	NUM
cana-5262	127	13	no	no	NOUN
cana-5262	127	14	.	.	PUNCT
cana-5262	128	1	10s	10	NOUN
cana-5262	128	2	(	(	PUNCT
cana-5262	128	3	2025	2025	NUM
cana-5262	128	4	)	)	PUNCT
cana-5262	128	5	1600	1600	NUM
cana-5262	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	128	7	the	the	DET
cana-5262	128	8	random	random	ADJ
cana-5262	128	9	forest	forest	NOUN
cana-5262	128	10	model	model	NOUN
cana-5262	128	11	,	,	PUNCT
cana-5262	128	12	leveraging	leverage	VERB
cana-5262	128	13	the	the	DET
cana-5262	128	14	optimal	optimal	ADJ
cana-5262	128	15	feature	feature	NOUN
cana-5262	128	16	set	set	VERB
cana-5262	128	17	identified	identify	VERB
cana-5262	128	18	through	through	ADP
cana-5262	128	19	igwo	igwo	PROPN
cana-5262	128	20	,	,	PUNCT
cana-5262	128	21	achieved	achieve	VERB
cana-5262	128	22	high	high	ADJ
cana-5262	128	23	precision	precision	NOUN
cana-5262	128	24	,	,	PUNCT
cana-5262	128	25	recall	recall	NOUN
cana-5262	128	26	,	,	PUNCT
cana-5262	128	27	and	and	CCONJ
cana-5262	128	28	f1	f1	NOUN
cana-5262	128	29	-	-	PUNCT
cana-5262	128	30	scores	score	NOUN
cana-5262	128	31	,	,	PUNCT
cana-5262	128	32	further	far	ADV
cana-5262	128	33	reinforcing	reinforce	VERB
cana-5262	128	34	the	the	DET
cana-5262	128	35	model	model	NOUN
cana-5262	128	36	’s	’s	PART
cana-5262	128	37	robustness	robustness	NOUN
cana-5262	128	38	.	.	PUNCT
cana-5262	129	1	these	these	DET
cana-5262	129	2	metrics	metric	NOUN
cana-5262	129	3	ensure	ensure	VERB
cana-5262	129	4	that	that	SCONJ
cana-5262	129	5	the	the	DET
cana-5262	129	6	model	model	NOUN
cana-5262	129	7	not	not	PART
cana-5262	129	8	only	only	ADV
cana-5262	129	9	detects	detect	VERB
cana-5262	129	10	intrusions	intrusion	NOUN
cana-5262	129	11	with	with	ADP
cana-5262	129	12	high	high	ADJ
cana-5262	129	13	accuracy	accuracy	NOUN
cana-5262	129	14	but	but	CCONJ
cana-5262	129	15	also	also	ADV
cana-5262	129	16	minimizes	minimize	VERB
cana-5262	129	17	the	the	DET
cana-5262	129	18	number	number	NOUN
cana-5262	129	19	of	of	ADP
cana-5262	129	20	false	false	ADJ
cana-5262	129	21	positives	positive	NOUN
cana-5262	129	22	(	(	PUNCT
cana-5262	129	23	precision	precision	NOUN
cana-5262	129	24	)	)	PUNCT
cana-5262	129	25	and	and	CCONJ
cana-5262	129	26	false	false	ADJ
cana-5262	129	27	negatives	negative	NOUN
cana-5262	129	28	(	(	PUNCT
cana-5262	129	29	recall	recall	NOUN
cana-5262	129	30	)	)	PUNCT
cana-5262	129	31	.	.	PUNCT
cana-5262	130	1	figure	figure	VERB
cana-5262	130	2	3	3	NUM
cana-5262	130	3	roc	roc	PROPN
cana-5262	130	4	curve	curve	NOUN
cana-5262	130	5	4.4	4.4	NUM
cana-5262	130	6	discussion	discussion	NOUN
cana-5262	130	7	the	the	DET
cana-5262	130	8	results	result	NOUN
cana-5262	130	9	demonstrate	demonstrate	VERB
cana-5262	130	10	the	the	DET
cana-5262	130	11	effectiveness	effectiveness	NOUN
cana-5262	130	12	of	of	ADP
cana-5262	130	13	combining	combine	VERB
cana-5262	130	14	advanced	advanced	ADJ
cana-5262	130	15	techniques	technique	NOUN
cana-5262	130	16	for	for	ADP
cana-5262	130	17	intrusion	intrusion	NOUN
cana-5262	130	18	detection	detection	NOUN
cana-5262	130	19	in	in	ADP
cana-5262	130	20	iot	iot	PROPN
cana-5262	130	21	networks	network	NOUN
cana-5262	130	22	.	.	PUNCT
cana-5262	131	1	the	the	DET
cana-5262	131	2	preprocessing	preprocessing	NOUN
cana-5262	131	3	phase	phase	NOUN
cana-5262	131	4	laid	lay	VERB
cana-5262	131	5	a	a	DET
cana-5262	131	6	solid	solid	ADJ
cana-5262	131	7	foundation	foundation	NOUN
cana-5262	131	8	by	by	ADP
cana-5262	131	9	preparing	prepare	VERB
cana-5262	131	10	the	the	DET
cana-5262	131	11	data	datum	NOUN
cana-5262	131	12	and	and	CCONJ
cana-5262	131	13	eliminating	eliminate	VERB
cana-5262	131	14	inconsistencies	inconsistency	NOUN
cana-5262	131	15	,	,	PUNCT
cana-5262	131	16	while	while	SCONJ
cana-5262	131	17	feature	feature	NOUN
cana-5262	131	18	engineering	engineering	NOUN
cana-5262	131	19	ensured	ensure	VERB
cana-5262	131	20	that	that	SCONJ
cana-5262	131	21	only	only	ADV
cana-5262	131	22	the	the	DET
cana-5262	131	23	most	most	ADV
cana-5262	131	24	relevant	relevant	ADJ
cana-5262	131	25	features	feature	NOUN
cana-5262	131	26	were	be	AUX
cana-5262	131	27	used	use	VERB
cana-5262	131	28	in	in	ADP
cana-5262	131	29	the	the	DET
cana-5262	131	30	model	model	NOUN
cana-5262	131	31	.	.	PUNCT
cana-5262	132	1	the	the	DET
cana-5262	132	2	igwo	igwo	PROPN
cana-5262	132	3	algorithm	algorithm	PROPN
cana-5262	132	4	played	play	VERB
cana-5262	132	5	a	a	DET
cana-5262	132	6	crucial	crucial	ADJ
cana-5262	132	7	role	role	NOUN
cana-5262	132	8	in	in	ADP
cana-5262	132	9	optimizing	optimize	VERB
cana-5262	132	10	the	the	DET
cana-5262	132	11	feature	feature	NOUN
cana-5262	132	12	selection	selection	NOUN
cana-5262	132	13	process	process	NOUN
cana-5262	132	14	,	,	PUNCT
cana-5262	132	15	significantly	significantly	ADV
cana-5262	132	16	reducing	reduce	VERB
cana-5262	132	17	the	the	DET
cana-5262	132	18	dimensionality	dimensionality	NOUN
cana-5262	132	19	of	of	ADP
cana-5262	132	20	the	the	DET
cana-5262	132	21	dataset	dataset	NOUN
cana-5262	132	22	and	and	CCONJ
cana-5262	132	23	improving	improve	VERB
cana-5262	132	24	the	the	DET
cana-5262	132	25	classification	classification	NOUN
cana-5262	132	26	accuracy	accuracy	NOUN
cana-5262	132	27	.	.	PUNCT
cana-5262	133	1	the	the	DET
cana-5262	133	2	roc	roc	PROPN
cana-5262	133	3	curve	curve	NOUN
cana-5262	133	4	,	,	PUNCT
cana-5262	133	5	with	with	ADP
cana-5262	133	6	an	an	DET
cana-5262	133	7	impressive	impressive	ADJ
cana-5262	133	8	auc	auc	NOUN
cana-5262	133	9	of	of	ADP
cana-5262	133	10	0.95	0.95	NUM
cana-5262	133	11	,	,	PUNCT
cana-5262	133	12	highlights	highlight	VERB
cana-5262	133	13	the	the	DET
cana-5262	133	14	effectiveness	effectiveness	NOUN
cana-5262	133	15	of	of	ADP
cana-5262	133	16	the	the	DET
cana-5262	133	17	feature	feature	NOUN
cana-5262	133	18	selection	selection	NOUN
cana-5262	133	19	and	and	CCONJ
cana-5262	133	20	classification	classification	NOUN
cana-5262	133	21	process	process	NOUN
cana-5262	133	22	.	.	PUNCT
cana-5262	134	1	the	the	DET
cana-5262	134	2	model	model	NOUN
cana-5262	134	3	's	's	PART
cana-5262	134	4	ability	ability	NOUN
cana-5262	134	5	to	to	PART
cana-5262	134	6	accurately	accurately	ADV
cana-5262	134	7	distinguish	distinguish	VERB
cana-5262	134	8	between	between	ADP
cana-5262	134	9	normal	normal	ADJ
cana-5262	134	10	and	and	CCONJ
cana-5262	134	11	intrusive	intrusive	ADJ
cana-5262	134	12	activities	activity	NOUN
cana-5262	134	13	is	be	AUX
cana-5262	134	14	a	a	DET
cana-5262	134	15	testament	testament	NOUN
cana-5262	134	16	to	to	ADP
cana-5262	134	17	the	the	DET
cana-5262	134	18	power	power	NOUN
cana-5262	134	19	of	of	ADP
cana-5262	134	20	the	the	DET
cana-5262	134	21	igwo	igwo	ADV
cana-5262	134	22	-	-	PUNCT
cana-5262	134	23	based	base	VERB
cana-5262	134	24	feature	feature	NOUN
cana-5262	134	25	selection	selection	NOUN
cana-5262	134	26	method	method	NOUN
cana-5262	134	27	.	.	PUNCT
cana-5262	135	1	the	the	DET
cana-5262	135	2	igwo	igwo	PROPN
cana-5262	135	3	convergence	convergence	NOUN
cana-5262	135	4	curve	curve	NOUN
cana-5262	135	5	,	,	PUNCT
cana-5262	135	6	in	in	ADP
cana-5262	135	7	turn	turn	NOUN
cana-5262	135	8	,	,	PUNCT
cana-5262	135	9	indicates	indicate	VERB
cana-5262	135	10	that	that	SCONJ
cana-5262	135	11	the	the	DET
cana-5262	135	12	algorithm	algorithm	NOUN
cana-5262	135	13	quickly	quickly	ADV
cana-5262	135	14	converges	converge	VERB
cana-5262	135	15	to	to	ADP
cana-5262	135	16	an	an	DET
cana-5262	135	17	optimal	optimal	ADJ
cana-5262	135	18	feature	feature	NOUN
cana-5262	135	19	set	set	NOUN
cana-5262	135	20	,	,	PUNCT
cana-5262	135	21	demonstrating	demonstrate	VERB
cana-5262	135	22	its	its	PRON
cana-5262	135	23	efficiency	efficiency	NOUN
cana-5262	135	24	and	and	CCONJ
cana-5262	135	25	suitability	suitability	NOUN
cana-5262	135	26	for	for	ADP
cana-5262	135	27	large	large	ADJ
cana-5262	135	28	-	-	PUNCT
cana-5262	135	29	scale	scale	NOUN
cana-5262	135	30	datasets	dataset	NOUN
cana-5262	135	31	.	.	PUNCT
cana-5262	136	1	in	in	ADP
cana-5262	136	2	practical	practical	ADJ
cana-5262	136	3	terms	term	NOUN
cana-5262	136	4	,	,	PUNCT
cana-5262	136	5	this	this	PRON
cana-5262	136	6	means	mean	VERB
cana-5262	136	7	that	that	SCONJ
cana-5262	136	8	the	the	DET
cana-5262	136	9	intrusion	intrusion	NOUN
cana-5262	136	10	detection	detection	NOUN
cana-5262	136	11	system	system	NOUN
cana-5262	136	12	can	can	AUX
cana-5262	136	13	be	be	AUX
cana-5262	136	14	deployed	deploy	VERB
cana-5262	136	15	in	in	ADP
cana-5262	136	16	real	real	ADJ
cana-5262	136	17	-	-	PUNCT
cana-5262	136	18	time	time	NOUN
cana-5262	136	19	iot	iot	NOUN
cana-5262	136	20	networks	network	NOUN
cana-5262	136	21	,	,	PUNCT
cana-5262	136	22	providing	provide	VERB
cana-5262	136	23	high	high	ADJ
cana-5262	136	24	accuracy	accuracy	NOUN
cana-5262	136	25	and	and	CCONJ
cana-5262	136	26	low	low	ADJ
cana-5262	136	27	false	false	ADJ
cana-5262	136	28	positive	positive	ADJ
cana-5262	136	29	rates	rate	NOUN
cana-5262	136	30	.	.	PUNCT
cana-5262	137	1	this	this	PRON
cana-5262	137	2	is	be	AUX
cana-5262	137	3	essential	essential	ADJ
cana-5262	137	4	for	for	ADP
cana-5262	137	5	iot	iot	ADJ
cana-5262	137	6	environments	environment	NOUN
cana-5262	137	7	,	,	PUNCT
cana-5262	137	8	where	where	SCONJ
cana-5262	137	9	rapid	rapid	ADJ
cana-5262	137	10	detection	detection	NOUN
cana-5262	137	11	of	of	ADP
cana-5262	137	12	anomalies	anomaly	NOUN
cana-5262	137	13	is	be	AUX
cana-5262	137	14	crucial	crucial	ADJ
cana-5262	137	15	for	for	ADP
cana-5262	137	16	preventing	prevent	VERB
cana-5262	137	17	security	security	NOUN
cana-5262	137	18	breaches	breach	NOUN
cana-5262	137	19	without	without	ADP
cana-5262	137	20	overwhelming	overwhelm	VERB
cana-5262	137	21	the	the	DET
cana-5262	137	22	system	system	NOUN
cana-5262	137	23	with	with	ADP
cana-5262	137	24	false	false	ADJ
cana-5262	137	25	alarms	alarm	NOUN
cana-5262	137	26	.	.	PUNCT
cana-5262	138	1	however	however	ADV
cana-5262	138	2	,	,	PUNCT
cana-5262	138	3	despite	despite	SCONJ
cana-5262	138	4	the	the	DET
cana-5262	138	5	promising	promising	ADJ
cana-5262	138	6	results	result	NOUN
cana-5262	138	7	,	,	PUNCT
cana-5262	138	8	several	several	ADJ
cana-5262	138	9	areas	area	NOUN
cana-5262	138	10	could	could	AUX
cana-5262	138	11	be	be	AUX
cana-5262	138	12	explored	explore	VERB
cana-5262	138	13	for	for	ADP
cana-5262	138	14	further	further	ADJ
cana-5262	138	15	improvement	improvement	NOUN
cana-5262	138	16	.	.	PUNCT
cana-5262	139	1	for	for	ADP
cana-5262	139	2	instance	instance	NOUN
cana-5262	139	3	,	,	PUNCT
cana-5262	139	4	although	although	SCONJ
cana-5262	139	5	the	the	DET
cana-5262	139	6	igwo	igwo	PROPN
cana-5262	139	7	algorithm	algorithm	NOUN
cana-5262	139	8	efficiently	efficiently	ADV
cana-5262	139	9	optimized	optimize	VERB
cana-5262	139	10	feature	feature	NOUN
cana-5262	139	11	selection	selection	NOUN
cana-5262	139	12	,	,	PUNCT
cana-5262	139	13	its	its	PRON
cana-5262	139	14	performance	performance	NOUN
cana-5262	139	15	could	could	AUX
cana-5262	139	16	communications	communication	NOUN
cana-5262	139	17	on	on	ADP
cana-5262	139	18	applied	apply	VERB
cana-5262	139	19	nonlinear	nonlinear	ADJ
cana-5262	139	20	analysis	analysis	NOUN
cana-5262	139	21	issn	issn	NOUN
cana-5262	139	22	:	:	PUNCT
cana-5262	139	23	1074	1074	NUM
cana-5262	139	24	-	-	PUNCT
cana-5262	139	25	133x	133x	NUM
cana-5262	139	26	vol	vol	VERB
cana-5262	139	27	32	32	NUM
cana-5262	139	28	no	no	NOUN
cana-5262	139	29	.	.	PUNCT
cana-5262	140	1	10s	10	NOUN
cana-5262	140	2	(	(	PUNCT
cana-5262	140	3	2025	2025	NUM
cana-5262	140	4	)	)	PUNCT
cana-5262	140	5	1601	1601	NUM
cana-5262	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	140	7	be	be	AUX
cana-5262	140	8	tested	test	VERB
cana-5262	140	9	on	on	ADP
cana-5262	140	10	different	different	ADJ
cana-5262	140	11	types	type	NOUN
cana-5262	140	12	of	of	ADP
cana-5262	140	13	network	network	NOUN
cana-5262	140	14	data	datum	NOUN
cana-5262	140	15	or	or	CCONJ
cana-5262	140	16	datasets	dataset	NOUN
cana-5262	140	17	with	with	ADP
cana-5262	140	18	different	different	ADJ
cana-5262	140	19	characteristics	characteristic	NOUN
cana-5262	140	20	.	.	PUNCT
cana-5262	141	1	moreover	moreover	ADV
cana-5262	141	2	,	,	PUNCT
cana-5262	141	3	incorporating	incorporate	VERB
cana-5262	141	4	more	more	ADV
cana-5262	141	5	advanced	advanced	ADJ
cana-5262	141	6	classifiers	classifier	NOUN
cana-5262	141	7	or	or	CCONJ
cana-5262	141	8	hybrid	hybrid	NOUN
cana-5262	141	9	models	model	NOUN
cana-5262	141	10	may	may	AUX
cana-5262	141	11	further	far	ADV
cana-5262	141	12	improve	improve	VERB
cana-5262	141	13	performance	performance	NOUN
cana-5262	141	14	.	.	PUNCT
cana-5262	142	1	additionally	additionally	ADV
cana-5262	142	2	,	,	PUNCT
cana-5262	142	3	while	while	SCONJ
cana-5262	142	4	the	the	DET
cana-5262	142	5	model	model	NOUN
cana-5262	142	6	performs	perform	VERB
cana-5262	142	7	well	well	ADV
cana-5262	142	8	in	in	ADP
cana-5262	142	9	terms	term	NOUN
cana-5262	142	10	of	of	ADP
cana-5262	142	11	classification	classification	NOUN
cana-5262	142	12	,	,	PUNCT
cana-5262	142	13	real	real	ADJ
cana-5262	142	14	-	-	PUNCT
cana-5262	142	15	world	world	NOUN
cana-5262	142	16	deployment	deployment	NOUN
cana-5262	142	17	often	often	ADV
cana-5262	142	18	requires	require	VERB
cana-5262	142	19	real	real	ADJ
cana-5262	142	20	-	-	PUNCT
cana-5262	142	21	time	time	NOUN
cana-5262	142	22	processing	processing	NOUN
cana-5262	142	23	,	,	PUNCT
cana-5262	142	24	so	so	CCONJ
cana-5262	142	25	future	future	ADJ
cana-5262	142	26	work	work	NOUN
cana-5262	142	27	could	could	AUX
cana-5262	142	28	focus	focus	VERB
cana-5262	142	29	on	on	ADP
cana-5262	142	30	optimizing	optimize	VERB
cana-5262	142	31	the	the	DET
cana-5262	142	32	model	model	NOUN
cana-5262	142	33	's	's	PART
cana-5262	142	34	speed	speed	NOUN
cana-5262	142	35	and	and	CCONJ
cana-5262	142	36	scalability	scalability	NOUN
cana-5262	142	37	for	for	ADP
cana-5262	142	38	live	live	ADJ
cana-5262	142	39	iot	iot	NOUN
cana-5262	142	40	networks	network	NOUN
cana-5262	142	41	.	.	PUNCT
cana-5262	143	1	5	5	NUM
cana-5262	143	2	conclusion	conclusion	NOUN
cana-5262	143	3	and	and	CCONJ
cana-5262	143	4	future	future	ADJ
cana-5262	143	5	scope	scope	NOUN
cana-5262	143	6	5.1	5.1	NUM
cana-5262	143	7	conclusion	conclusion	NOUN
cana-5262	143	8	this	this	DET
cana-5262	143	9	study	study	NOUN
cana-5262	143	10	presents	present	VERB
cana-5262	143	11	a	a	DET
cana-5262	143	12	novel	novel	ADJ
cana-5262	143	13	approach	approach	NOUN
cana-5262	143	14	for	for	ADP
cana-5262	143	15	intrusion	intrusion	NOUN
cana-5262	143	16	detection	detection	NOUN
cana-5262	143	17	in	in	ADP
cana-5262	143	18	internet	internet	NOUN
cana-5262	143	19	of	of	ADP
cana-5262	143	20	things	thing	NOUN
cana-5262	143	21	(	(	PUNCT
cana-5262	143	22	iot	iot	NOUN
cana-5262	143	23	)	)	PUNCT
cana-5262	143	24	networks	network	NOUN
cana-5262	143	25	by	by	ADP
cana-5262	143	26	leveraging	leverage	VERB
cana-5262	143	27	advanced	advanced	ADJ
cana-5262	143	28	algorithms	algorithm	NOUN
cana-5262	143	29	,	,	PUNCT
cana-5262	143	30	including	include	VERB
cana-5262	143	31	preprocessing	preprocesse	VERB
cana-5262	143	32	techniques	technique	NOUN
cana-5262	143	33	,	,	PUNCT
cana-5262	143	34	feature	feature	NOUN
cana-5262	143	35	engineering	engineering	NOUN
cana-5262	143	36	,	,	PUNCT
cana-5262	143	37	the	the	DET
cana-5262	143	38	improved	improve	VERB
cana-5262	143	39	grey	grey	NOUN
cana-5262	143	40	wolf	wolf	PROPN
cana-5262	143	41	optimizer	optimizer	NOUN
cana-5262	143	42	(	(	PUNCT
cana-5262	143	43	igwo	igwo	PROPN
cana-5262	143	44	)	)	PUNCT
cana-5262	143	45	,	,	PUNCT
cana-5262	143	46	and	and	CCONJ
cana-5262	143	47	a	a	DET
cana-5262	143	48	random	random	ADJ
cana-5262	143	49	forest	forest	NOUN
cana-5262	143	50	classifier	classifier	NOUN
cana-5262	143	51	.	.	PUNCT
cana-5262	144	1	the	the	DET
cana-5262	144	2	proposed	propose	VERB
cana-5262	144	3	methodology	methodology	NOUN
cana-5262	144	4	effectively	effectively	ADV
cana-5262	144	5	addresses	address	VERB
cana-5262	144	6	the	the	DET
cana-5262	144	7	challenges	challenge	NOUN
cana-5262	144	8	of	of	ADP
cana-5262	144	9	detecting	detect	VERB
cana-5262	144	10	intrusions	intrusion	NOUN
cana-5262	144	11	in	in	ADP
cana-5262	144	12	iot	iot	ADJ
cana-5262	144	13	environments	environment	NOUN
cana-5262	144	14	,	,	PUNCT
cana-5262	144	15	where	where	SCONJ
cana-5262	144	16	the	the	DET
cana-5262	144	17	complexity	complexity	NOUN
cana-5262	144	18	and	and	CCONJ
cana-5262	144	19	variability	variability	NOUN
cana-5262	144	20	of	of	ADP
cana-5262	144	21	the	the	DET
cana-5262	144	22	data	datum	NOUN
cana-5262	144	23	demand	demand	VERB
cana-5262	144	24	efficient	efficient	ADJ
cana-5262	144	25	and	and	CCONJ
cana-5262	144	26	scalable	scalable	ADJ
cana-5262	144	27	solutions	solution	NOUN
cana-5262	144	28	.	.	PUNCT
cana-5262	145	1	the	the	DET
cana-5262	145	2	preprocessing	preprocessing	NOUN
cana-5262	145	3	phase	phase	NOUN
cana-5262	145	4	ensured	ensure	VERB
cana-5262	145	5	that	that	SCONJ
cana-5262	145	6	the	the	DET
cana-5262	145	7	raw	raw	ADJ
cana-5262	145	8	data	datum	NOUN
cana-5262	145	9	was	be	AUX
cana-5262	145	10	cleaned	clean	VERB
cana-5262	145	11	and	and	CCONJ
cana-5262	145	12	normalized	normalize	VERB
cana-5262	145	13	,	,	PUNCT
cana-5262	145	14	removing	remove	VERB
cana-5262	145	15	missing	missing	ADJ
cana-5262	145	16	values	value	NOUN
cana-5262	145	17	and	and	CCONJ
cana-5262	145	18	outliers	outlier	NOUN
cana-5262	145	19	,	,	PUNCT
cana-5262	145	20	and	and	CCONJ
cana-5262	145	21	standardizing	standardize	VERB
cana-5262	145	22	the	the	DET
cana-5262	145	23	features	feature	NOUN
cana-5262	145	24	to	to	ADP
cana-5262	145	25	a	a	DET
cana-5262	145	26	uniform	uniform	ADJ
cana-5262	145	27	scale	scale	NOUN
cana-5262	145	28	.	.	PUNCT
cana-5262	146	1	these	these	DET
cana-5262	146	2	steps	step	NOUN
cana-5262	146	3	were	be	AUX
cana-5262	146	4	crucial	crucial	ADJ
cana-5262	146	5	in	in	ADP
cana-5262	146	6	enhancing	enhance	VERB
cana-5262	146	7	the	the	DET
cana-5262	146	8	quality	quality	NOUN
cana-5262	146	9	of	of	ADP
cana-5262	146	10	the	the	DET
cana-5262	146	11	data	datum	NOUN
cana-5262	146	12	,	,	PUNCT
cana-5262	146	13	ensuring	ensure	VERB
cana-5262	146	14	that	that	SCONJ
cana-5262	146	15	subsequent	subsequent	ADJ
cana-5262	146	16	modeling	modeling	NOUN
cana-5262	146	17	steps	step	NOUN
cana-5262	146	18	would	would	AUX
cana-5262	146	19	yield	yield	VERB
cana-5262	146	20	reliable	reliable	ADJ
cana-5262	146	21	results	result	NOUN
cana-5262	146	22	.	.	PUNCT
cana-5262	147	1	the	the	DET
cana-5262	147	2	feature	feature	NOUN
cana-5262	147	3	engineering	engineering	NOUN
cana-5262	147	4	phase	phase	NOUN
cana-5262	147	5	further	far	ADV
cana-5262	147	6	refined	refine	VERB
cana-5262	147	7	the	the	DET
cana-5262	147	8	dataset	dataset	NOUN
cana-5262	147	9	by	by	ADP
cana-5262	147	10	selecting	select	VERB
cana-5262	147	11	relevant	relevant	ADJ
cana-5262	147	12	features	feature	NOUN
cana-5262	147	13	using	use	VERB
cana-5262	147	14	mutual	mutual	ADJ
cana-5262	147	15	information	information	NOUN
cana-5262	147	16	,	,	PUNCT
cana-5262	147	17	followed	follow	VERB
cana-5262	147	18	by	by	ADP
cana-5262	147	19	dimensionality	dimensionality	NOUN
cana-5262	147	20	reduction	reduction	NOUN
cana-5262	147	21	through	through	ADP
cana-5262	147	22	principal	principal	ADJ
cana-5262	147	23	component	component	NOUN
cana-5262	147	24	analysis	analysis	NOUN
cana-5262	147	25	(	(	PUNCT
cana-5262	147	26	pca	pca	PROPN
cana-5262	147	27	)	)	PUNCT
cana-5262	147	28	,	,	PUNCT
cana-5262	147	29	which	which	PRON
cana-5262	147	30	allowed	allow	VERB
cana-5262	147	31	for	for	ADP
cana-5262	147	32	a	a	DET
cana-5262	147	33	more	more	ADV
cana-5262	147	34	efficient	efficient	ADJ
cana-5262	147	35	classification	classification	NOUN
cana-5262	147	36	process	process	NOUN
cana-5262	147	37	.	.	PUNCT
cana-5262	148	1	the	the	DET
cana-5262	148	2	core	core	NOUN
cana-5262	148	3	of	of	ADP
cana-5262	148	4	the	the	DET
cana-5262	148	5	feature	feature	NOUN
cana-5262	148	6	selection	selection	NOUN
cana-5262	148	7	process	process	NOUN
cana-5262	148	8	was	be	AUX
cana-5262	148	9	driven	drive	VERB
cana-5262	148	10	by	by	ADP
cana-5262	148	11	the	the	DET
cana-5262	148	12	improved	improve	VERB
cana-5262	148	13	grey	grey	NOUN
cana-5262	148	14	wolf	wolf	PROPN
cana-5262	148	15	optimizer	optimizer	NOUN
cana-5262	148	16	(	(	PUNCT
cana-5262	148	17	igwo	igwo	PROPN
cana-5262	148	18	)	)	PUNCT
cana-5262	148	19	,	,	PUNCT
cana-5262	148	20	an	an	DET
cana-5262	148	21	optimization	optimization	NOUN
cana-5262	148	22	technique	technique	NOUN
cana-5262	148	23	inspired	inspire	VERB
cana-5262	148	24	by	by	ADP
cana-5262	148	25	the	the	DET
cana-5262	148	26	hunting	hunt	VERB
cana-5262	148	27	behavior	behavior	NOUN
cana-5262	148	28	of	of	ADP
cana-5262	148	29	grey	grey	ADJ
cana-5262	148	30	wolves	wolf	NOUN
cana-5262	148	31	.	.	PUNCT
cana-5262	149	1	the	the	DET
cana-5262	149	2	igwo	igwo	PROPN
cana-5262	149	3	algorithm	algorithm	PROPN
cana-5262	149	4	effectively	effectively	ADV
cana-5262	149	5	reduced	reduce	VERB
cana-5262	149	6	the	the	DET
cana-5262	149	7	feature	feature	NOUN
cana-5262	149	8	space	space	NOUN
cana-5262	149	9	by	by	ADP
cana-5262	149	10	identifying	identify	VERB
cana-5262	149	11	the	the	DET
cana-5262	149	12	optimal	optimal	ADJ
cana-5262	149	13	feature	feature	NOUN
cana-5262	149	14	subset	subset	NOUN
cana-5262	149	15	,	,	PUNCT
cana-5262	149	16	which	which	PRON
cana-5262	149	17	significantly	significantly	ADV
cana-5262	149	18	improved	improve	VERB
cana-5262	149	19	the	the	DET
cana-5262	149	20	performance	performance	NOUN
cana-5262	149	21	of	of	ADP
cana-5262	149	22	the	the	DET
cana-5262	149	23	classification	classification	NOUN
cana-5262	149	24	model	model	NOUN
cana-5262	149	25	.	.	PUNCT
cana-5262	150	1	the	the	DET
cana-5262	150	2	roc	roc	PROPN
cana-5262	150	3	curve	curve	NOUN
cana-5262	150	4	,	,	PUNCT
cana-5262	150	5	with	with	ADP
cana-5262	150	6	an	an	DET
cana-5262	150	7	impressive	impressive	ADJ
cana-5262	150	8	auc	auc	NOUN
cana-5262	150	9	of	of	ADP
cana-5262	150	10	0.95	0.95	NUM
cana-5262	150	11	,	,	PUNCT
cana-5262	150	12	demonstrated	demonstrate	VERB
cana-5262	150	13	that	that	SCONJ
cana-5262	150	14	the	the	DET
cana-5262	150	15	random	random	ADJ
cana-5262	150	16	forest	forest	NOUN
cana-5262	150	17	classifier	classifier	NOUN
cana-5262	150	18	,	,	PUNCT
cana-5262	150	19	trained	train	VERB
cana-5262	150	20	on	on	ADP
cana-5262	150	21	the	the	DET
cana-5262	150	22	optimized	optimize	VERB
cana-5262	150	23	feature	feature	NOUN
cana-5262	150	24	set	set	NOUN
cana-5262	150	25	,	,	PUNCT
cana-5262	150	26	achieved	achieve	VERB
cana-5262	150	27	high	high	ADJ
cana-5262	150	28	accuracy	accuracy	NOUN
cana-5262	150	29	in	in	ADP
cana-5262	150	30	detecting	detect	VERB
cana-5262	150	31	intrusions	intrusion	NOUN
cana-5262	150	32	while	while	SCONJ
cana-5262	150	33	maintaining	maintain	VERB
cana-5262	150	34	a	a	DET
cana-5262	150	35	low	low	ADJ
cana-5262	150	36	false	false	ADJ
cana-5262	150	37	positive	positive	ADJ
cana-5262	150	38	rate	rate	NOUN
cana-5262	150	39	.	.	PUNCT
cana-5262	151	1	the	the	DET
cana-5262	151	2	igwo	igwo	PROPN
cana-5262	151	3	convergence	convergence	NOUN
cana-5262	151	4	curve	curve	NOUN
cana-5262	151	5	showed	show	VERB
cana-5262	151	6	the	the	DET
cana-5262	151	7	efficiency	efficiency	NOUN
cana-5262	151	8	of	of	ADP
cana-5262	151	9	the	the	DET
cana-5262	151	10	algorithm	algorithm	NOUN
cana-5262	151	11	in	in	ADP
cana-5262	151	12	converging	converge	VERB
cana-5262	151	13	quickly	quickly	ADV
cana-5262	151	14	to	to	ADP
cana-5262	151	15	the	the	DET
cana-5262	151	16	optimal	optimal	ADJ
cana-5262	151	17	solution	solution	NOUN
cana-5262	151	18	,	,	PUNCT
cana-5262	151	19	underscoring	underscore	VERB
cana-5262	151	20	the	the	DET
cana-5262	151	21	algorithm	algorithm	NOUN
cana-5262	151	22	's	's	PART
cana-5262	151	23	capacity	capacity	NOUN
cana-5262	151	24	to	to	PART
cana-5262	151	25	enhance	enhance	VERB
cana-5262	151	26	feature	feature	NOUN
cana-5262	151	27	selection	selection	NOUN
cana-5262	151	28	with	with	ADP
cana-5262	151	29	minimal	minimal	ADJ
cana-5262	151	30	computational	computational	ADJ
cana-5262	151	31	overhead	overhead	NOUN
cana-5262	151	32	.	.	PUNCT
cana-5262	152	1	overall	overall	ADV
cana-5262	152	2	,	,	PUNCT
cana-5262	152	3	the	the	DET
cana-5262	152	4	combination	combination	NOUN
cana-5262	152	5	of	of	ADP
cana-5262	152	6	these	these	DET
cana-5262	152	7	techniques	technique	NOUN
cana-5262	152	8	resulted	result	VERB
cana-5262	152	9	in	in	ADP
cana-5262	152	10	an	an	DET
cana-5262	152	11	intrusion	intrusion	NOUN
cana-5262	152	12	detection	detection	NOUN
cana-5262	152	13	system	system	NOUN
cana-5262	152	14	that	that	PRON
cana-5262	152	15	is	be	AUX
cana-5262	152	16	both	both	CCONJ
cana-5262	152	17	accurate	accurate	ADJ
cana-5262	152	18	and	and	CCONJ
cana-5262	152	19	computationally	computationally	ADV
cana-5262	152	20	efficient	efficient	ADJ
cana-5262	152	21	.	.	PUNCT
cana-5262	153	1	the	the	DET
cana-5262	153	2	achieved	achieve	VERB
cana-5262	153	3	auc	auc	NOUN
cana-5262	153	4	score	score	NOUN
cana-5262	153	5	of	of	ADP
cana-5262	153	6	0.95	0.95	NUM
cana-5262	153	7	and	and	CCONJ
cana-5262	153	8	the	the	DET
cana-5262	153	9	promising	promising	ADJ
cana-5262	153	10	performance	performance	NOUN
cana-5262	153	11	metrics	metric	NOUN
cana-5262	153	12	such	such	ADJ
cana-5262	153	13	as	as	ADP
cana-5262	153	14	precision	precision	NOUN
cana-5262	153	15	,	,	PUNCT
cana-5262	153	16	recall	recall	NOUN
cana-5262	153	17	,	,	PUNCT
cana-5262	153	18	and	and	CCONJ
cana-5262	153	19	f1	f1	NOUN
cana-5262	153	20	-	-	PUNCT
cana-5262	153	21	score	score	NOUN
cana-5262	153	22	underscore	underscore	VERB
cana-5262	153	23	the	the	DET
cana-5262	153	24	potential	potential	NOUN
cana-5262	153	25	of	of	ADP
cana-5262	153	26	this	this	DET
cana-5262	153	27	approach	approach	NOUN
cana-5262	153	28	for	for	ADP
cana-5262	153	29	practical	practical	ADJ
cana-5262	153	30	deployment	deployment	NOUN
cana-5262	153	31	in	in	ADP
cana-5262	153	32	iot	iot	PROPN
cana-5262	153	33	networks	network	NOUN
cana-5262	153	34	,	,	PUNCT
cana-5262	153	35	where	where	SCONJ
cana-5262	153	36	intrusion	intrusion	NOUN
cana-5262	153	37	detection	detection	NOUN
cana-5262	153	38	needs	need	VERB
cana-5262	153	39	to	to	PART
cana-5262	153	40	be	be	AUX
cana-5262	153	41	rapid	rapid	ADJ
cana-5262	153	42	and	and	CCONJ
cana-5262	153	43	reliable	reliable	ADJ
cana-5262	153	44	.	.	PUNCT
cana-5262	154	1	5.2	5.2	NUM
cana-5262	154	2	future	future	ADJ
cana-5262	154	3	scope	scope	NOUN
cana-5262	154	4	while	while	SCONJ
cana-5262	154	5	the	the	DET
cana-5262	154	6	current	current	ADJ
cana-5262	154	7	approach	approach	NOUN
cana-5262	154	8	provides	provide	VERB
cana-5262	154	9	a	a	DET
cana-5262	154	10	strong	strong	ADJ
cana-5262	154	11	foundation	foundation	NOUN
cana-5262	154	12	for	for	ADP
cana-5262	154	13	intrusion	intrusion	NOUN
cana-5262	154	14	detection	detection	NOUN
cana-5262	154	15	in	in	ADP
cana-5262	154	16	iot	iot	PROPN
cana-5262	154	17	networks	network	NOUN
cana-5262	154	18	,	,	PUNCT
cana-5262	154	19	there	there	PRON
cana-5262	154	20	are	be	VERB
cana-5262	154	21	several	several	ADJ
cana-5262	154	22	areas	area	NOUN
cana-5262	154	23	where	where	SCONJ
cana-5262	154	24	future	future	ADJ
cana-5262	154	25	work	work	NOUN
cana-5262	154	26	can	can	AUX
cana-5262	154	27	build	build	VERB
cana-5262	154	28	upon	upon	SCONJ
cana-5262	154	29	and	and	CCONJ
cana-5262	154	30	enhance	enhance	VERB
cana-5262	154	31	the	the	DET
cana-5262	154	32	system	system	NOUN
cana-5262	154	33	:	:	PUNCT
cana-5262	154	34	scalability	scalability	NOUN
cana-5262	154	35	and	and	CCONJ
cana-5262	154	36	real	real	ADJ
cana-5262	154	37	-	-	PUNCT
cana-5262	154	38	time	time	NOUN
cana-5262	154	39	deployment	deployment	NOUN
cana-5262	154	40	:	:	PUNCT
cana-5262	154	41	iot	iot	PROPN
cana-5262	154	42	networks	network	NOUN
cana-5262	154	43	are	be	AUX
cana-5262	154	44	vast	vast	ADJ
cana-5262	154	45	and	and	CCONJ
cana-5262	154	46	dynamic	dynamic	ADJ
cana-5262	154	47	,	,	PUNCT
cana-5262	154	48	often	often	ADV
cana-5262	154	49	requiring	require	VERB
cana-5262	154	50	intrusion	intrusion	NOUN
cana-5262	154	51	detection	detection	NOUN
cana-5262	154	52	systems	system	NOUN
cana-5262	154	53	to	to	PART
cana-5262	154	54	operate	operate	VERB
cana-5262	154	55	in	in	ADP
cana-5262	154	56	real	real	ADJ
cana-5262	154	57	time	time	NOUN
cana-5262	154	58	.	.	PUNCT
cana-5262	155	1	while	while	SCONJ
cana-5262	155	2	the	the	DET
cana-5262	155	3	current	current	ADJ
cana-5262	155	4	model	model	NOUN
cana-5262	155	5	demonstrates	demonstrate	VERB
cana-5262	155	6	high	high	ADJ
cana-5262	155	7	performance	performance	NOUN
cana-5262	155	8	in	in	ADP
cana-5262	155	9	terms	term	NOUN
cana-5262	155	10	of	of	ADP
cana-5262	155	11	accuracy	accuracy	NOUN
cana-5262	155	12	,	,	PUNCT
cana-5262	155	13	the	the	DET
cana-5262	155	14	next	next	ADJ
cana-5262	155	15	step	step	NOUN
cana-5262	155	16	is	be	AUX
cana-5262	155	17	to	to	PART
cana-5262	155	18	focus	focus	VERB
cana-5262	155	19	on	on	ADP
cana-5262	155	20	improving	improve	VERB
cana-5262	155	21	the	the	DET
cana-5262	155	22	scalability	scalability	NOUN
cana-5262	155	23	of	of	ADP
cana-5262	155	24	the	the	DET
cana-5262	155	25	system	system	NOUN
cana-5262	155	26	to	to	PART
cana-5262	155	27	handle	handle	VERB
cana-5262	155	28	the	the	DET
cana-5262	155	29	vast	vast	ADJ
cana-5262	155	30	amount	amount	NOUN
cana-5262	155	31	of	of	ADP
cana-5262	155	32	data	datum	NOUN
cana-5262	155	33	generated	generate	VERB
cana-5262	155	34	by	by	ADP
cana-5262	155	35	iot	iot	PROPN
cana-5262	155	36	devices	device	NOUN
cana-5262	155	37	in	in	ADP
cana-5262	155	38	real	real	ADJ
cana-5262	155	39	-	-	PUNCT
cana-5262	155	40	time	time	NOUN
cana-5262	155	41	environments	environment	NOUN
cana-5262	155	42	.	.	PUNCT
cana-5262	156	1	optimizing	optimize	VERB
cana-5262	156	2	the	the	DET
cana-5262	156	3	speed	speed	NOUN
cana-5262	156	4	of	of	ADP
cana-5262	156	5	both	both	DET
cana-5262	156	6	communications	communication	NOUN
cana-5262	156	7	on	on	ADP
cana-5262	156	8	applied	apply	VERB
cana-5262	156	9	nonlinear	nonlinear	ADJ
cana-5262	156	10	analysis	analysis	NOUN
cana-5262	156	11	issn	issn	NOUN
cana-5262	156	12	:	:	PUNCT
cana-5262	156	13	1074	1074	NUM
cana-5262	156	14	-	-	PUNCT
cana-5262	156	15	133x	133x	NUM
cana-5262	156	16	vol	vol	VERB
cana-5262	156	17	32	32	NUM
cana-5262	156	18	no	no	NOUN
cana-5262	156	19	.	.	PUNCT
cana-5262	157	1	10s	10	NOUN
cana-5262	157	2	(	(	PUNCT
cana-5262	157	3	2025	2025	NUM
cana-5262	157	4	)	)	PUNCT
cana-5262	157	5	1602	1602	NUM
cana-5262	157	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	158	1	the	the	DET
cana-5262	158	2	feature	feature	NOUN
cana-5262	158	3	selection	selection	NOUN
cana-5262	158	4	process	process	NOUN
cana-5262	158	5	and	and	CCONJ
cana-5262	158	6	the	the	DET
cana-5262	158	7	classification	classification	NOUN
cana-5262	158	8	phase	phase	NOUN
cana-5262	158	9	will	will	AUX
cana-5262	158	10	be	be	AUX
cana-5262	158	11	essential	essential	ADJ
cana-5262	158	12	for	for	ADP
cana-5262	158	13	deployment	deployment	NOUN
cana-5262	158	14	in	in	ADP
cana-5262	158	15	timesensitive	timesensitive	ADJ
cana-5262	158	16	applications	application	NOUN
cana-5262	158	17	.	.	PUNCT
cana-5262	159	1	techniques	technique	NOUN
cana-5262	159	2	such	such	ADJ
cana-5262	159	3	as	as	ADP
cana-5262	159	4	online	online	ADJ
cana-5262	159	5	learning	learning	NOUN
cana-5262	159	6	or	or	CCONJ
cana-5262	159	7	incremental	incremental	ADJ
cana-5262	159	8	learning	learning	NOUN
cana-5262	159	9	could	could	AUX
cana-5262	159	10	be	be	AUX
cana-5262	159	11	explored	explore	VERB
cana-5262	159	12	to	to	PART
cana-5262	159	13	allow	allow	VERB
cana-5262	159	14	the	the	DET
cana-5262	159	15	system	system	NOUN
cana-5262	159	16	to	to	PART
cana-5262	159	17	adapt	adapt	VERB
cana-5262	159	18	and	and	CCONJ
cana-5262	159	19	learn	learn	VERB
cana-5262	159	20	continuously	continuously	ADV
cana-5262	159	21	as	as	SCONJ
cana-5262	159	22	new	new	ADJ
cana-5262	159	23	data	datum	NOUN
cana-5262	159	24	becomes	become	VERB
cana-5262	159	25	available	available	ADJ
cana-5262	159	26	.	.	PUNCT
cana-5262	160	1	adaptation	adaptation	NOUN
cana-5262	160	2	to	to	ADP
cana-5262	160	3	new	new	ADJ
cana-5262	160	4	and	and	CCONJ
cana-5262	160	5	evolving	evolve	VERB
cana-5262	160	6	attacks	attack	NOUN
cana-5262	160	7	:	:	PUNCT
cana-5262	160	8	the	the	DET
cana-5262	160	9	nature	nature	NOUN
cana-5262	160	10	of	of	ADP
cana-5262	160	11	cybersecurity	cybersecurity	NOUN
cana-5262	160	12	threats	threat	NOUN
cana-5262	160	13	is	be	AUX
cana-5262	160	14	continually	continually	ADV
cana-5262	160	15	evolving	evolve	VERB
cana-5262	160	16	,	,	PUNCT
cana-5262	160	17	and	and	CCONJ
cana-5262	160	18	intrusion	intrusion	NOUN
cana-5262	160	19	detection	detection	NOUN
cana-5262	160	20	systems	system	NOUN
cana-5262	160	21	must	must	AUX
cana-5262	160	22	adapt	adapt	VERB
cana-5262	160	23	to	to	ADP
cana-5262	160	24	new	new	ADJ
cana-5262	160	25	,	,	PUNCT
cana-5262	160	26	previously	previously	ADV
cana-5262	160	27	unseen	unseen	ADJ
cana-5262	160	28	attack	attack	NOUN
cana-5262	160	29	patterns	pattern	NOUN
cana-5262	160	30	.	.	PUNCT
cana-5262	161	1	future	future	ADJ
cana-5262	161	2	work	work	NOUN
cana-5262	161	3	can	can	AUX
cana-5262	161	4	explore	explore	VERB
cana-5262	161	5	transfer	transfer	NOUN
cana-5262	161	6	learning	learning	NOUN
cana-5262	161	7	or	or	CCONJ
cana-5262	161	8	incremental	incremental	ADJ
cana-5262	161	9	model	model	NOUN
cana-5262	161	10	training	training	NOUN
cana-5262	161	11	,	,	PUNCT
cana-5262	161	12	where	where	SCONJ
cana-5262	161	13	the	the	DET
cana-5262	161	14	model	model	NOUN
cana-5262	161	15	can	can	AUX
cana-5262	161	16	adapt	adapt	VERB
cana-5262	161	17	to	to	ADP
cana-5262	161	18	new	new	ADJ
cana-5262	161	19	attack	attack	NOUN
cana-5262	161	20	vectors	vector	NOUN
cana-5262	161	21	without	without	ADP
cana-5262	161	22	needing	need	VERB
cana-5262	161	23	to	to	PART
cana-5262	161	24	retrain	retrain	VERB
cana-5262	161	25	from	from	ADP
cana-5262	161	26	scratch	scratch	NOUN
cana-5262	161	27	.	.	PUNCT
cana-5262	162	1	this	this	PRON
cana-5262	162	2	would	would	AUX
cana-5262	162	3	allow	allow	VERB
cana-5262	162	4	the	the	DET
cana-5262	162	5	system	system	NOUN
cana-5262	162	6	to	to	PART
cana-5262	162	7	stay	stay	VERB
cana-5262	162	8	up	up	ADV
cana-5262	162	9	to	to	ADP
cana-5262	162	10	date	date	NOUN
cana-5262	162	11	with	with	ADP
cana-5262	162	12	emerging	emerge	VERB
cana-5262	162	13	threats	threat	NOUN
cana-5262	162	14	while	while	SCONJ
cana-5262	162	15	maintaining	maintain	VERB
cana-5262	162	16	its	its	PRON
cana-5262	162	17	performance	performance	NOUN
cana-5262	162	18	over	over	ADP
cana-5262	162	19	time	time	NOUN
cana-5262	162	20	.	.	PUNCT
cana-5262	163	1	hybrid	hybrid	ADJ
cana-5262	163	2	classification	classification	NOUN
cana-5262	163	3	models	model	NOUN
cana-5262	163	4	:	:	PUNCT
cana-5262	163	5	although	although	SCONJ
cana-5262	163	6	random	random	ADJ
cana-5262	163	7	forest	forest	NOUN
cana-5262	163	8	has	have	AUX
cana-5262	163	9	shown	show	VERB
cana-5262	163	10	promising	promising	ADJ
cana-5262	163	11	results	result	NOUN
cana-5262	163	12	in	in	ADP
cana-5262	163	13	this	this	DET
cana-5262	163	14	study	study	NOUN
cana-5262	163	15	,	,	PUNCT
cana-5262	163	16	future	future	ADJ
cana-5262	163	17	research	research	NOUN
cana-5262	163	18	can	can	AUX
cana-5262	163	19	explore	explore	VERB
cana-5262	163	20	hybrid	hybrid	ADJ
cana-5262	163	21	models	model	NOUN
cana-5262	163	22	that	that	PRON
cana-5262	163	23	combine	combine	VERB
cana-5262	163	24	the	the	DET
cana-5262	163	25	strengths	strength	NOUN
cana-5262	163	26	of	of	ADP
cana-5262	163	27	multiple	multiple	ADJ
cana-5262	163	28	classifiers	classifier	NOUN
cana-5262	163	29	.	.	PUNCT
cana-5262	164	1	ensemble	ensemble	ADJ
cana-5262	164	2	techniques	technique	NOUN
cana-5262	164	3	,	,	PUNCT
cana-5262	164	4	such	such	ADJ
cana-5262	164	5	as	as	ADP
cana-5262	164	6	stacking	stack	VERB
cana-5262	164	7	or	or	CCONJ
cana-5262	164	8	boosting	boost	VERB
cana-5262	164	9	,	,	PUNCT
cana-5262	164	10	may	may	AUX
cana-5262	164	11	provide	provide	VERB
cana-5262	164	12	more	more	ADV
cana-5262	164	13	robust	robust	ADJ
cana-5262	164	14	detection	detection	NOUN
cana-5262	164	15	capabilities	capability	NOUN
cana-5262	164	16	by	by	ADP
cana-5262	164	17	combining	combine	VERB
cana-5262	164	18	different	different	ADJ
cana-5262	164	19	algorithms	algorithm	NOUN
cana-5262	164	20	to	to	PART
cana-5262	164	21	mitigate	mitigate	VERB
cana-5262	164	22	the	the	DET
cana-5262	164	23	weaknesses	weakness	NOUN
cana-5262	164	24	of	of	ADP
cana-5262	164	25	individual	individual	ADJ
cana-5262	164	26	classifiers	classifier	NOUN
cana-5262	164	27	.	.	PUNCT
cana-5262	165	1	additionally	additionally	ADV
cana-5262	165	2	,	,	PUNCT
cana-5262	165	3	deep	deep	ADJ
cana-5262	165	4	learning	learning	NOUN
cana-5262	165	5	models	model	NOUN
cana-5262	165	6	,	,	PUNCT
cana-5262	165	7	such	such	ADJ
cana-5262	165	8	as	as	ADP
cana-5262	165	9	convolutional	convolutional	ADJ
cana-5262	165	10	neural	neural	ADJ
cana-5262	165	11	networks	network	NOUN
cana-5262	165	12	(	(	PUNCT
cana-5262	165	13	cnns	cnns	PROPN
cana-5262	165	14	)	)	PUNCT
cana-5262	165	15	or	or	CCONJ
cana-5262	165	16	recurrent	recurrent	ADJ
cana-5262	165	17	neural	neural	ADJ
cana-5262	165	18	networks	network	NOUN
cana-5262	165	19	(	(	PUNCT
cana-5262	165	20	rnns	rnns	PROPN
cana-5262	165	21	)	)	PUNCT
cana-5262	165	22	,	,	PUNCT
cana-5262	165	23	could	could	AUX
cana-5262	165	24	be	be	AUX
cana-5262	165	25	explored	explore	VERB
cana-5262	165	26	to	to	PART
cana-5262	165	27	learn	learn	VERB
cana-5262	165	28	complex	complex	ADJ
cana-5262	165	29	patterns	pattern	NOUN
cana-5262	165	30	from	from	ADP
cana-5262	165	31	raw	raw	ADJ
cana-5262	165	32	sensor	sensor	NOUN
cana-5262	165	33	data	datum	NOUN
cana-5262	165	34	directly	directly	ADV
cana-5262	165	35	,	,	PUNCT
cana-5262	165	36	further	far	ADV
cana-5262	165	37	improving	improve	VERB
cana-5262	165	38	detection	detection	NOUN
cana-5262	165	39	accuracy	accuracy	NOUN
cana-5262	165	40	.	.	PUNCT
cana-5262	166	1	feature	feature	NOUN
cana-5262	166	2	engineering	engineering	NOUN
cana-5262	166	3	and	and	CCONJ
cana-5262	166	4	deep	deep	ADJ
cana-5262	166	5	feature	feature	NOUN
cana-5262	166	6	selection	selection	NOUN
cana-5262	166	7	:	:	PUNCT
cana-5262	166	8	while	while	SCONJ
cana-5262	166	9	the	the	DET
cana-5262	166	10	mutual	mutual	ADJ
cana-5262	166	11	information	information	NOUN
cana-5262	166	12	-	-	PUNCT
cana-5262	166	13	based	base	VERB
cana-5262	166	14	feature	feature	NOUN
cana-5262	166	15	selection	selection	NOUN
cana-5262	166	16	and	and	CCONJ
cana-5262	166	17	pca	pca	NOUN
cana-5262	166	18	were	be	AUX
cana-5262	166	19	effective	effective	ADJ
cana-5262	166	20	in	in	ADP
cana-5262	166	21	reducing	reduce	VERB
cana-5262	166	22	the	the	DET
cana-5262	166	23	dimensionality	dimensionality	NOUN
cana-5262	166	24	of	of	ADP
cana-5262	166	25	the	the	DET
cana-5262	166	26	dataset	dataset	NOUN
cana-5262	166	27	,	,	PUNCT
cana-5262	166	28	further	further	ADJ
cana-5262	166	29	research	research	NOUN
cana-5262	166	30	could	could	AUX
cana-5262	166	31	investigate	investigate	VERB
cana-5262	166	32	deep	deep	ADJ
cana-5262	166	33	feature	feature	NOUN
cana-5262	166	34	selection	selection	NOUN
cana-5262	166	35	methods	method	NOUN
cana-5262	166	36	,	,	PUNCT
cana-5262	166	37	where	where	SCONJ
cana-5262	166	38	deep	deep	ADJ
cana-5262	166	39	learning	learning	NOUN
cana-5262	166	40	-	-	PUNCT
cana-5262	166	41	based	base	VERB
cana-5262	166	42	approaches	approach	NOUN
cana-5262	166	43	automatically	automatically	ADV
cana-5262	166	44	identify	identify	VERB
cana-5262	166	45	and	and	CCONJ
cana-5262	166	46	select	select	VERB
cana-5262	166	47	the	the	DET
cana-5262	166	48	most	most	ADV
cana-5262	166	49	informative	informative	ADJ
cana-5262	166	50	features	feature	NOUN
cana-5262	166	51	.	.	PUNCT
cana-5262	167	1	this	this	PRON
cana-5262	167	2	could	could	AUX
cana-5262	167	3	potentially	potentially	ADV
cana-5262	167	4	yield	yield	VERB
cana-5262	167	5	better	well	ADJ
cana-5262	167	6	feature	feature	NOUN
cana-5262	167	7	subsets	subset	NOUN
cana-5262	167	8	,	,	PUNCT
cana-5262	167	9	improving	improve	VERB
cana-5262	167	10	classification	classification	NOUN
cana-5262	167	11	performance	performance	NOUN
cana-5262	167	12	while	while	SCONJ
cana-5262	167	13	reducing	reduce	VERB
cana-5262	167	14	the	the	DET
cana-5262	167	15	need	need	NOUN
cana-5262	167	16	for	for	ADP
cana-5262	167	17	manual	manual	ADJ
cana-5262	167	18	feature	feature	NOUN
cana-5262	167	19	engineering	engineering	NOUN
cana-5262	167	20	.	.	PUNCT
cana-5262	168	1	anomaly	anomaly	PROPN
cana-5262	168	2	detection	detection	NOUN
cana-5262	168	3	for	for	ADP
cana-5262	168	4	iot	iot	ADJ
cana-5262	168	5	-	-	PUNCT
cana-5262	168	6	specific	specific	ADJ
cana-5262	168	7	attacks	attack	NOUN
cana-5262	168	8	:	:	PUNCT
cana-5262	168	9	the	the	DET
cana-5262	168	10	current	current	ADJ
cana-5262	168	11	system	system	NOUN
cana-5262	168	12	assumes	assume	VERB
cana-5262	168	13	that	that	SCONJ
cana-5262	168	14	intrusion	intrusion	NOUN
cana-5262	168	15	detection	detection	NOUN
cana-5262	168	16	involves	involve	VERB
cana-5262	168	17	predefined	predefine	VERB
cana-5262	168	18	attack	attack	NOUN
cana-5262	168	19	types	type	NOUN
cana-5262	168	20	.	.	PUNCT
cana-5262	169	1	however	however	ADV
cana-5262	169	2	,	,	PUNCT
cana-5262	169	3	iot	iot	PROPN
cana-5262	169	4	networks	network	NOUN
cana-5262	169	5	can	can	AUX
cana-5262	169	6	experience	experience	VERB
cana-5262	169	7	novel	novel	NOUN
cana-5262	169	8	or	or	CCONJ
cana-5262	169	9	previously	previously	ADV
cana-5262	169	10	unknown	unknown	ADJ
cana-5262	169	11	attacks	attack	NOUN
cana-5262	169	12	,	,	PUNCT
cana-5262	169	13	such	such	ADJ
cana-5262	169	14	as	as	ADP
cana-5262	169	15	zero	zero	NUM
cana-5262	169	16	-	-	PUNCT
cana-5262	169	17	day	day	NOUN
cana-5262	169	18	vulnerabilities	vulnerability	NOUN
cana-5262	169	19	.	.	PUNCT
cana-5262	170	1	future	future	ADJ
cana-5262	170	2	work	work	NOUN
cana-5262	170	3	could	could	AUX
cana-5262	170	4	incorporate	incorporate	VERB
cana-5262	170	5	anomaly	anomaly	NOUN
cana-5262	170	6	detection	detection	NOUN
cana-5262	170	7	techniques	technique	NOUN
cana-5262	170	8	to	to	PART
cana-5262	170	9	identify	identify	VERB
cana-5262	170	10	deviations	deviation	NOUN
cana-5262	170	11	from	from	ADP
cana-5262	170	12	normal	normal	ADJ
cana-5262	170	13	behavior	behavior	NOUN
cana-5262	170	14	,	,	PUNCT
cana-5262	170	15	which	which	PRON
cana-5262	170	16	can	can	AUX
cana-5262	170	17	help	help	VERB
cana-5262	170	18	in	in	ADP
cana-5262	170	19	detecting	detect	VERB
cana-5262	170	20	new	new	ADJ
cana-5262	170	21	,	,	PUNCT
cana-5262	170	22	previously	previously	ADV
cana-5262	170	23	unseen	unseen	ADJ
cana-5262	170	24	attack	attack	NOUN
cana-5262	170	25	patterns	pattern	NOUN
cana-5262	170	26	.	.	PUNCT
cana-5262	171	1	anomaly	anomaly	PROPN
cana-5262	171	2	detection	detection	NOUN
cana-5262	171	3	systems	system	NOUN
cana-5262	171	4	can	can	AUX
cana-5262	171	5	complement	complement	VERB
cana-5262	171	6	the	the	DET
cana-5262	171	7	classification	classification	NOUN
cana-5262	171	8	model	model	NOUN
cana-5262	171	9	,	,	PUNCT
cana-5262	171	10	enhancing	enhance	VERB
cana-5262	171	11	the	the	DET
cana-5262	171	12	system	system	NOUN
cana-5262	171	13	’s	’s	PART
cana-5262	171	14	ability	ability	NOUN
cana-5262	171	15	to	to	PART
cana-5262	171	16	detect	detect	VERB
cana-5262	171	17	new	new	ADJ
cana-5262	171	18	threats	threat	NOUN
cana-5262	171	19	in	in	ADP
cana-5262	171	20	dynamic	dynamic	ADJ
cana-5262	171	21	environments	environment	NOUN
cana-5262	171	22	.	.	PUNCT
cana-5262	172	1	references	reference	NOUN
cana-5262	172	2	[	[	X
cana-5262	172	3	1	1	NUM
cana-5262	172	4	]	]	X
cana-5262	172	5	ahmad	ahmad	PROPN
cana-5262	172	6	,	,	PUNCT
cana-5262	172	7	j.	j.	PROPN
cana-5262	172	8	,	,	PUNCT
cana-5262	172	9	shah	shah	PROPN
cana-5262	172	10	,	,	PUNCT
cana-5262	172	11	s.	s.	PROPN
cana-5262	172	12	a.	a.	PROPN
cana-5262	172	13	,	,	PUNCT
cana-5262	172	14	latif	latif	PROPN
cana-5262	172	15	,	,	PUNCT
cana-5262	172	16	s.	s.	PROPN
cana-5262	172	17	,	,	PUNCT
cana-5262	172	18	ahmed	ahmed	PROPN
cana-5262	172	19	,	,	PUNCT
cana-5262	172	20	f.	f.	PROPN
cana-5262	172	21	,	,	PUNCT
cana-5262	172	22	zou	zou	PROPN
cana-5262	172	23	,	,	PUNCT
cana-5262	172	24	z.	z.	PROPN
cana-5262	172	25	,	,	PUNCT
cana-5262	172	26	&	&	CCONJ
cana-5262	172	27	pitropakis	pitropakis	PROPN
cana-5262	172	28	,	,	PUNCT
cana-5262	172	29	n.	n.	NOUN
cana-5262	172	30	(	(	PUNCT
cana-5262	172	31	2022	2022	NUM
cana-5262	172	32	)	)	PUNCT
cana-5262	172	33	.	.	PUNCT
cana-5262	173	1	drann_pso	drann_pso	NUM
cana-5262	173	2	:	:	PUNCT
cana-5262	173	3	a	a	DET
cana-5262	173	4	deep	deep	ADJ
cana-5262	173	5	random	random	ADJ
cana-5262	173	6	neural	neural	ADJ
cana-5262	173	7	network	network	NOUN
cana-5262	173	8	with	with	ADP
cana-5262	173	9	particle	particle	NOUN
cana-5262	173	10	swarm	swarm	NOUN
cana-5262	173	11	optimization	optimization	NOUN
cana-5262	173	12	for	for	ADP
cana-5262	173	13	intrusion	intrusion	NOUN
cana-5262	173	14	detection	detection	NOUN
cana-5262	173	15	in	in	ADP
cana-5262	173	16	the	the	DET
cana-5262	173	17	industrial	industrial	ADJ
cana-5262	173	18	internet	internet	NOUN
cana-5262	173	19	of	of	ADP
cana-5262	173	20	things	thing	NOUN
cana-5262	173	21	.	.	PUNCT
cana-5262	174	1	journal	journal	PROPN
cana-5262	174	2	of	of	ADP
cana-5262	174	3	king	king	PROPN
cana-5262	174	4	saud	saud	PROPN
cana-5262	174	5	university	university	PROPN
cana-5262	174	6	computer	computer	NOUN
cana-5262	174	7	and	and	CCONJ
cana-5262	174	8	information	information	NOUN
cana-5262	174	9	sciences	science	NOUN
cana-5262	174	10	,	,	PUNCT
cana-5262	174	11	34	34	NUM
cana-5262	174	12	,	,	PUNCT
cana-5262	174	13	8112–8121	8112–8121	NUM
cana-5262	174	14	.	.	PUNCT
cana-5262	175	1	[	[	X
cana-5262	175	2	2	2	NUM
cana-5262	175	3	]	]	X
cana-5262	175	4	al	al	PROPN
cana-5262	175	5	-	-	PUNCT
cana-5262	175	6	ambusaidi	ambusaidi	VERB
cana-5262	175	7	,	,	PUNCT
cana-5262	175	8	m.	m.	NOUN
cana-5262	175	9	,	,	PUNCT
cana-5262	175	10	yinjun	yinjun	NOUN
cana-5262	175	11	,	,	PUNCT
cana-5262	175	12	z.	z.	PROPN
cana-5262	175	13	,	,	PUNCT
cana-5262	175	14	muhammad	muhammad	PROPN
cana-5262	175	15	,	,	PUNCT
cana-5262	175	16	y.	y.	PROPN
cana-5262	175	17	,	,	PUNCT
cana-5262	175	18	&	&	CCONJ
cana-5262	175	19	yahya	yahya	PROPN
cana-5262	175	20	,	,	PUNCT
cana-5262	175	21	a.	a.	NOUN
cana-5262	175	22	(	(	PUNCT
cana-5262	175	23	2023	2023	NUM
cana-5262	175	24	)	)	PUNCT
cana-5262	175	25	.	.	PUNCT
cana-5262	176	1	ml	ml	NOUN
cana-5262	176	2	-	-	PUNCT
cana-5262	176	3	ids	id	NOUN
cana-5262	176	4	:	:	PUNCT
cana-5262	176	5	an	an	DET
cana-5262	176	6	efficient	efficient	ADJ
cana-5262	176	7	mlenabled	mlenable	VERB
cana-5262	176	8	intrusion	intrusion	NOUN
cana-5262	176	9	detection	detection	NOUN
cana-5262	176	10	system	system	NOUN
cana-5262	176	11	for	for	ADP
cana-5262	176	12	securing	secure	VERB
cana-5262	176	13	iot	iot	PROPN
cana-5262	176	14	networks	network	NOUN
cana-5262	176	15	and	and	CCONJ
cana-5262	176	16	applications	application	NOUN
cana-5262	176	17	.	.	PUNCT
cana-5262	177	1	soft	soft	ADJ
cana-5262	177	2	computing	computing	NOUN
cana-5262	177	3	,	,	PUNCT
cana-5262	177	4	28(2	28(2	NUM
cana-5262	177	5	)	)	PUNCT
cana-5262	177	6	,	,	PUNCT
cana-5262	177	7	1765–1784	1765–1784	NUM
cana-5262	177	8	.	.	PUNCT
cana-5262	178	1	https://doi.org/10.1007/s00500-023-09452-7	https://doi.org/10.1007/s00500-023-09452-7	X
cana-5262	179	1	[	[	X
cana-5262	179	2	3	3	NUM
cana-5262	179	3	]	]	PUNCT
cana-5262	179	4	almiani	almiani	PROPN
cana-5262	179	5	,	,	PUNCT
cana-5262	179	6	m.	m.	NOUN
cana-5262	179	7	,	,	PUNCT
cana-5262	179	8	abughazleh	abughazleh	PROPN
cana-5262	179	9	,	,	PUNCT
cana-5262	179	10	a.	a.	PROPN
cana-5262	179	11	,	,	PUNCT
cana-5262	179	12	al	al	PROPN
cana-5262	179	13	-	-	PUNCT
cana-5262	179	14	rahayfeh	rahayfeh	PROPN
cana-5262	179	15	,	,	PUNCT
cana-5262	179	16	a.	a.	PROPN
cana-5262	179	17	,	,	PUNCT
cana-5262	179	18	atiewi	atiewi	PROPN
cana-5262	179	19	,	,	PUNCT
cana-5262	179	20	s.	s.	PROPN
cana-5262	179	21	,	,	PUNCT
cana-5262	179	22	&	&	CCONJ
cana-5262	179	23	razaque	razaque	NOUN
cana-5262	179	24	,	,	PUNCT
cana-5262	179	25	a.	a.	NOUN
cana-5262	179	26	(	(	PUNCT
cana-5262	179	27	2020	2020	NUM
cana-5262	179	28	)	)	PUNCT
cana-5262	179	29	.	.	PUNCT
cana-5262	180	1	deep	deep	ADJ
cana-5262	180	2	recurrent	recurrent	ADJ
cana-5262	180	3	neural	neural	ADJ
cana-5262	180	4	network	network	NOUN
cana-5262	180	5	for	for	ADP
cana-5262	180	6	iot	iot	PROPN
cana-5262	180	7	intrusion	intrusion	NOUN
cana-5262	180	8	detection	detection	NOUN
cana-5262	180	9	system	system	NOUN
cana-5262	180	10	.	.	PUNCT
cana-5262	181	1	simulation	simulation	NOUN
cana-5262	181	2	modelling	model	VERB
cana-5262	181	3	practice	practice	NOUN
cana-5262	181	4	and	and	CCONJ
cana-5262	181	5	theory	theory	NOUN
cana-5262	181	6	,	,	PUNCT
cana-5262	181	7	101	101	NUM
cana-5262	181	8	,	,	PUNCT
cana-5262	181	9	102031	102031	NUM
cana-5262	181	10	.	.	PUNCT
cana-5262	182	1	[	[	X
cana-5262	182	2	4	4	NUM
cana-5262	182	3	]	]	SYM
cana-5262	182	4	atlam	atlam	PROPN
cana-5262	182	5	,	,	PUNCT
cana-5262	182	6	h.	h.	PROPN
cana-5262	182	7	f.	f.	PROPN
cana-5262	182	8	,	,	PUNCT
cana-5262	182	9	&	&	CCONJ
cana-5262	182	10	wills	will	NOUN
cana-5262	182	11	,	,	PUNCT
cana-5262	182	12	g.	g.	PROPN
cana-5262	182	13	b.	b.	PROPN
cana-5262	182	14	(	(	PUNCT
cana-5262	182	15	2020	2020	NUM
cana-5262	182	16	)	)	PUNCT
cana-5262	182	17	.	.	PUNCT
cana-5262	183	1	iot	iot	PROPN
cana-5262	183	2	security	security	PROPN
cana-5262	183	3	,	,	PUNCT
cana-5262	183	4	privacy	privacy	NOUN
cana-5262	183	5	,	,	PUNCT
cana-5262	183	6	safety	safety	NOUN
cana-5262	183	7	and	and	CCONJ
cana-5262	183	8	ethics	ethic	NOUN
cana-5262	183	9	.	.	PUNCT
cana-5262	184	1	in	in	ADP
cana-5262	184	2	digital	digital	ADJ
cana-5262	184	3	twin	twin	ADJ
cana-5262	184	4	technologies	technology	NOUN
cana-5262	184	5	and	and	CCONJ
cana-5262	184	6	smart	smart	ADJ
cana-5262	184	7	cities	city	NOUN
cana-5262	184	8	(	(	PUNCT
cana-5262	184	9	pp	pp	ADJ
cana-5262	184	10	.	.	PUNCT
cana-5262	185	1	123–149	123–149	NUM
cana-5262	185	2	)	)	PUNCT
cana-5262	185	3	.	.	PUNCT
cana-5262	186	1	springer	springer	NOUN
cana-5262	186	2	.	.	PUNCT
cana-5262	187	1	[	[	X
cana-5262	187	2	5	5	NUM
cana-5262	187	3	]	]	SYM
cana-5262	187	4	ayo	ayo	PROPN
cana-5262	187	5	,	,	PUNCT
cana-5262	187	6	f.	f.	PROPN
cana-5262	187	7	e.	e.	PROPN
cana-5262	187	8	,	,	PUNCT
cana-5262	187	9	folorunso	folorunso	PROPN
cana-5262	187	10	,	,	PUNCT
cana-5262	187	11	s.	s.	PROPN
cana-5262	187	12	o.	o.	PROPN
cana-5262	187	13	,	,	PUNCT
cana-5262	187	14	abayomi	abayomi	NOUN
cana-5262	187	15	-	-	PUNCT
cana-5262	187	16	alli	alli	PROPN
cana-5262	187	17	,	,	PUNCT
cana-5262	187	18	a.	a.	NOUN
cana-5262	187	19	a.	a.	PROPN
cana-5262	187	20	,	,	PUNCT
cana-5262	187	21	adekunle	adekunle	NOUN
cana-5262	187	22	,	,	PUNCT
cana-5262	187	23	a.	a.	NOUN
cana-5262	187	24	o.	o.	PROPN
cana-5262	187	25	,	,	PUNCT
cana-5262	187	26	&	&	CCONJ
cana-5262	187	27	awotunde	awotunde	PROPN
cana-5262	187	28	,	,	PUNCT
cana-5262	187	29	j.	j.	PROPN
cana-5262	187	30	b.	b.	PROPN
cana-5262	187	31	(	(	PUNCT
cana-5262	187	32	2020	2020	NUM
cana-5262	187	33	)	)	PUNCT
cana-5262	187	34	.	.	PUNCT
cana-5262	188	1	network	network	NOUN
cana-5262	188	2	intrusion	intrusion	PROPN
cana-5262	188	3	detection	detection	NOUN
cana-5262	188	4	based	base	VERB
cana-5262	188	5	on	on	ADP
cana-5262	188	6	deep	deep	ADJ
cana-5262	188	7	learning	learning	NOUN
cana-5262	188	8	model	model	NOUN
cana-5262	188	9	optimized	optimize	VERB
cana-5262	188	10	with	with	ADP
cana-5262	188	11	rule	rule	NOUN
cana-5262	188	12	-	-	PUNCT
cana-5262	188	13	based	base	VERB
cana-5262	188	14	hybrid	hybrid	ADJ
cana-5262	188	15	feature	feature	NOUN
cana-5262	188	16	selection	selection	NOUN
cana-5262	188	17	.	.	PUNCT
cana-5262	189	1	information	information	NOUN
cana-5262	189	2	security	security	NOUN
cana-5262	189	3	journal	journal	PROPN
cana-5262	189	4	:	:	PUNCT
cana-5262	189	5	a	a	DET
cana-5262	189	6	global	global	ADJ
cana-5262	189	7	perspective	perspective	NOUN
cana-5262	189	8	,	,	PUNCT
cana-5262	189	9	29	29	NUM
cana-5262	189	10	,	,	PUNCT
cana-5262	189	11	267–283	267–283	NUM
cana-5262	189	12	.	.	PUNCT
cana-5262	190	1	[	[	X
cana-5262	190	2	6	6	NUM
cana-5262	190	3	]	]	PUNCT
cana-5262	190	4	booij	booij	NOUN
cana-5262	190	5	,	,	PUNCT
cana-5262	190	6	t.	t.	NOUN
cana-5262	190	7	m.	m.	NOUN
cana-5262	190	8	,	,	PUNCT
cana-5262	190	9	chiscop	chiscop	NOUN
cana-5262	190	10	,	,	PUNCT
cana-5262	190	11	i.	i.	PROPN
cana-5262	190	12	,	,	PUNCT
cana-5262	190	13	meeuwissen	meeuwissen	PROPN
cana-5262	190	14	,	,	PUNCT
cana-5262	190	15	e.	e.	PROPN
cana-5262	190	16	,	,	PUNCT
cana-5262	190	17	moustafa	moustafa	PROPN
cana-5262	190	18	,	,	PUNCT
cana-5262	190	19	n.	n.	NOUN
cana-5262	190	20	,	,	PUNCT
cana-5262	190	21	&	&	CCONJ
cana-5262	190	22	den	den	PROPN
cana-5262	190	23	hartog	hartog	PROPN
cana-5262	190	24	,	,	PUNCT
cana-5262	190	25	f.	f.	PROPN
cana-5262	190	26	t.	t.	PROPN
cana-5262	190	27	(	(	PUNCT
cana-5262	190	28	2021	2021	NUM
cana-5262	190	29	)	)	PUNCT
cana-5262	190	30	.	.	PUNCT
cana-5262	191	1	ton_iot	ton_iot	PRON
cana-5262	191	2	:	:	PUNCT
cana-5262	191	3	the	the	DET
cana-5262	191	4	role	role	NOUN
cana-5262	191	5	of	of	ADP
cana-5262	191	6	heterogeneity	heterogeneity	NOUN
cana-5262	191	7	and	and	CCONJ
cana-5262	191	8	the	the	DET
cana-5262	191	9	need	need	NOUN
cana-5262	191	10	for	for	ADP
cana-5262	191	11	standardization	standardization	NOUN
cana-5262	191	12	of	of	ADP
cana-5262	191	13	features	feature	NOUN
cana-5262	191	14	and	and	CCONJ
cana-5262	191	15	attack	attack	NOUN
cana-5262	191	16	types	type	NOUN
cana-5262	191	17	in	in	ADP
cana-5262	191	18	iot	iot	PROPN
cana-5262	191	19	network	network	PROPN
cana-5262	191	20	intrusion	intrusion	PROPN
cana-5262	191	21	data	datum	NOUN
cana-5262	191	22	sets	set	NOUN
cana-5262	191	23	.	.	PUNCT
cana-5262	192	1	ieee	ieee	NOUN
cana-5262	192	2	internet	internet	NOUN
cana-5262	192	3	of	of	ADP
cana-5262	192	4	things	thing	NOUN
cana-5262	192	5	journal	journal	NOUN
cana-5262	192	6	,	,	PUNCT
cana-5262	192	7	9(1	9(1	NUM
cana-5262	192	8	)	)	PUNCT
cana-5262	192	9	,	,	PUNCT
cana-5262	192	10	485–496	485–496	NUM
cana-5262	192	11	.	.	PUNCT
cana-5262	193	1	https://doi.org/10.1007/s00500-023-09452-7	https://doi.org/10.1007/s00500-023-09452-7	PROPN
cana-5262	193	2	https://doi.org/10.1007/s00500-023-09452-7	https://doi.org/10.1007/s00500-023-09452-7	PROPN
cana-5262	193	3	communications	communication	NOUN
cana-5262	193	4	on	on	ADP
cana-5262	193	5	applied	apply	VERB
cana-5262	193	6	nonlinear	nonlinear	ADJ
cana-5262	193	7	analysis	analysis	NOUN
cana-5262	193	8	issn	issn	NOUN
cana-5262	193	9	:	:	PUNCT
cana-5262	193	10	1074	1074	NUM
cana-5262	193	11	-	-	PUNCT
cana-5262	193	12	133x	133x	NUM
cana-5262	193	13	vol	vol	VERB
cana-5262	193	14	32	32	NUM
cana-5262	193	15	no	no	NOUN
cana-5262	193	16	.	.	PUNCT
cana-5262	194	1	10s	10	NOUN
cana-5262	194	2	(	(	PUNCT
cana-5262	194	3	2025	2025	NUM
cana-5262	194	4	)	)	PUNCT
cana-5262	194	5	1603	1603	NUM
cana-5262	194	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5262	195	1	[	[	X
cana-5262	195	2	7	7	NUM
cana-5262	195	3	]	]	X
cana-5262	195	4	cao	cao	PROPN
cana-5262	195	5	,	,	PUNCT
cana-5262	195	6	b.	b.	PROPN
cana-5262	195	7	,	,	PUNCT
cana-5262	195	8	wang	wang	PROPN
cana-5262	195	9	,	,	PUNCT
cana-5262	195	10	x.	x.	PROPN
cana-5262	195	11	,	,	PUNCT
cana-5262	195	12	zhang	zhang	PROPN
cana-5262	195	13	,	,	PUNCT
cana-5262	195	14	w.	w.	PROPN
cana-5262	195	15	,	,	PUNCT
cana-5262	195	16	song	song	NOUN
cana-5262	195	17	,	,	PUNCT
cana-5262	195	18	h.	h.	PROPN
cana-5262	195	19	,	,	PUNCT
cana-5262	195	20	&	&	CCONJ
cana-5262	195	21	lv	lv	PROPN
cana-5262	195	22	,	,	PUNCT
cana-5262	195	23	z.	z.	PROPN
cana-5262	195	24	(	(	PUNCT
cana-5262	195	25	2020	2020	NUM
cana-5262	195	26	)	)	PUNCT
cana-5262	195	27	.	.	PUNCT
cana-5262	196	1	a	a	DET
cana-5262	196	2	many	many	ADJ
cana-5262	196	3	-	-	PUNCT
cana-5262	196	4	objective	objective	ADJ
cana-5262	196	5	optimization	optimization	NOUN
cana-5262	196	6	model	model	NOUN
cana-5262	196	7	of	of	ADP
cana-5262	196	8	industrial	industrial	ADJ
cana-5262	196	9	internet	internet	NOUN
cana-5262	196	10	of	of	ADP
cana-5262	196	11	things	thing	NOUN
cana-5262	196	12	based	base	VERB
cana-5262	196	13	on	on	ADP
cana-5262	196	14	private	private	ADJ
cana-5262	196	15	blockchain	blockchain	PROPN
cana-5262	196	16	.	.	PUNCT
cana-5262	197	1	ieee	ieee	NOUN
cana-5262	197	2	network	network	PROPN
cana-5262	197	3	,	,	PUNCT
cana-5262	197	4	34	34	NUM
cana-5262	197	5	,	,	PUNCT
cana-5262	197	6	78–83	78–83	NUM
cana-5262	197	7	.	.	PUNCT
cana-5262	198	1	[	[	X
cana-5262	198	2	8	8	NUM
cana-5262	198	3	]	]	X
cana-5262	198	4	cao	cao	PROPN
cana-5262	198	5	,	,	PUNCT
cana-5262	198	6	k.	k.	PROPN
cana-5262	198	7	,	,	PUNCT
cana-5262	198	8	wang	wang	PROPN
cana-5262	198	9	,	,	PUNCT
cana-5262	198	10	b.	b.	PROPN
cana-5262	198	11	,	,	PUNCT
cana-5262	198	12	ding	ding	NOUN
cana-5262	198	13	,	,	PUNCT
cana-5262	198	14	h.	h.	PROPN
cana-5262	198	15	,	,	PUNCT
cana-5262	198	16	lv	lv	PROPN
cana-5262	198	17	,	,	PUNCT
cana-5262	198	18	l.	l.	PROPN
cana-5262	198	19	,	,	PUNCT
cana-5262	198	20	tian	tian	PROPN
cana-5262	198	21	,	,	PUNCT
cana-5262	198	22	j.	j.	PROPN
cana-5262	198	23	,	,	PUNCT
cana-5262	198	24	hu	hu	PROPN
cana-5262	198	25	,	,	PUNCT
cana-5262	198	26	h.	h.	PROPN
cana-5262	198	27	,	,	PUNCT
cana-5262	198	28	&	&	CCONJ
cana-5262	198	29	gong	gong	PROPN
cana-5262	198	30	,	,	PUNCT
cana-5262	198	31	f.	f.	PROPN
cana-5262	198	32	(	(	PUNCT
cana-5262	198	33	2021	2021	NUM
cana-5262	198	34	)	)	PUNCT
cana-5262	198	35	.	.	PUNCT
cana-5262	199	1	achieving	achieve	VERB
cana-5262	199	2	reliable	reliable	ADJ
cana-5262	199	3	and	and	CCONJ
cana-5262	199	4	secure	secure	ADJ
cana-5262	199	5	communications	communication	NOUN
cana-5262	199	6	in	in	ADP
cana-5262	199	7	wireless	wireless	NOUN
cana-5262	199	8	-	-	PUNCT
cana-5262	199	9	powered	power	VERB
cana-5262	199	10	noma	noma	PROPN
cana-5262	199	11	systems	system	NOUN
cana-5262	199	12	.	.	PUNCT
cana-5262	200	1	ieee	ieee	NOUN
cana-5262	200	2	transactions	transaction	NOUN
cana-5262	200	3	on	on	ADP
cana-5262	200	4	vehicular	vehicular	ADJ
cana-5262	200	5	technology	technology	NOUN
cana-5262	200	6	,	,	PUNCT
cana-5262	200	7	70	70	NUM
cana-5262	200	8	,	,	PUNCT
cana-5262	200	9	1978–1983	1978–1983	NUM
cana-5262	200	10	.	.	PUNCT
cana-5262	201	1	[	[	X
cana-5262	201	2	9	9	NUM
cana-5262	201	3	]	]	PUNCT
cana-5262	201	4	cao	cao	PROPN
cana-5262	201	5	,	,	PUNCT
cana-5262	201	6	y.	y.	PROPN
cana-5262	201	7	,	,	PUNCT
cana-5262	201	8	wang	wang	PROPN
cana-5262	201	9	,	,	PUNCT
cana-5262	201	10	z.	z.	PROPN
cana-5262	201	11	,	,	PUNCT
cana-5262	201	12	ding	ding	PROPN
cana-5262	201	13	,	,	PUNCT
cana-5262	201	14	h.	h.	PROPN
cana-5262	201	15	,	,	PUNCT
cana-5262	201	16	zhang	zhang	PROPN
cana-5262	201	17	,	,	PUNCT
cana-5262	201	18	j.	j.	PROPN
cana-5262	201	19	,	,	PUNCT
cana-5262	201	20	&	&	CCONJ
cana-5262	201	21	li	li	PROPN
cana-5262	201	22	,	,	PUNCT
cana-5262	201	23	b.	b.	PROPN
cana-5262	201	24	(	(	PUNCT
cana-5262	201	25	2023	2023	NUM
cana-5262	201	26	)	)	PUNCT
cana-5262	201	27	.	.	PUNCT
cana-5262	202	1	an	an	DET
cana-5262	202	2	intrusion	intrusion	NOUN
cana-5262	202	3	detection	detection	NOUN
cana-5262	202	4	system	system	NOUN
cana-5262	202	5	based	base	VERB
cana-5262	202	6	on	on	ADP
cana-5262	202	7	stacked	stack	VERB
cana-5262	202	8	ensemble	ensemble	ADJ
cana-5262	202	9	learning	learning	NOUN
cana-5262	202	10	for	for	ADP
cana-5262	202	11	iot	iot	ADJ
cana-5262	202	12	network	network	NOUN
cana-5262	202	13	.	.	PUNCT
cana-5262	203	1	computers	computer	NOUN
cana-5262	203	2	and	and	CCONJ
cana-5262	203	3	electrical	electrical	ADJ
cana-5262	203	4	engineering	engineering	NOUN
cana-5262	203	5	,	,	PUNCT
cana-5262	203	6	110	110	NUM
cana-5262	203	7	,	,	PUNCT
cana-5262	203	8	108836	108836	NUM
cana-5262	203	9	.	.	PUNCT
cana-5262	204	1	[	[	X
cana-5262	204	2	10	10	NUM
cana-5262	204	3	]	]	X
cana-5262	204	4	cheng	cheng	PROPN
cana-5262	204	5	,	,	PUNCT
cana-5262	204	6	b.	b.	PROPN
cana-5262	204	7	,	,	PUNCT
cana-5262	204	8	wang	wang	PROPN
cana-5262	204	9	,	,	PUNCT
cana-5262	204	10	m.	m.	NOUN
cana-5262	204	11	,	,	PUNCT
cana-5262	204	12	zhao	zhao	PROPN
cana-5262	204	13	,	,	PUNCT
cana-5262	204	14	s.	s.	PROPN
cana-5262	204	15	,	,	PUNCT
cana-5262	204	16	zhai	zhai	PROPN
cana-5262	204	17	,	,	PUNCT
cana-5262	204	18	z.	z.	PROPN
cana-5262	204	19	,	,	PUNCT
cana-5262	204	20	zhu	zhu	PROPN
cana-5262	204	21	,	,	PUNCT
cana-5262	204	22	d.	d.	PROPN
cana-5262	204	23	,	,	PUNCT
cana-5262	204	24	&	&	CCONJ
cana-5262	204	25	chen	chen	PROPN
cana-5262	204	26	,	,	PUNCT
cana-5262	204	27	j.	j.	PROPN
cana-5262	204	28	(	(	PUNCT
cana-5262	204	29	2017	2017	NUM
cana-5262	204	30	)	)	PUNCT
cana-5262	204	31	.	.	PUNCT
cana-5262	205	1	situation	situation	NOUN
cana-5262	205	2	-	-	PUNCT
cana-5262	205	3	aware	aware	ADJ
cana-5262	205	4	dynamic	dynamic	ADJ
cana-5262	205	5	service	service	NOUN
cana-5262	205	6	coordination	coordination	NOUN
cana-5262	205	7	in	in	ADP
cana-5262	205	8	an	an	DET
cana-5262	205	9	iot	iot	NOUN
cana-5262	205	10	environment	environment	NOUN
cana-5262	205	11	.	.	PUNCT
cana-5262	206	1	ieee	ieee	PROPN
cana-5262	206	2	/	/	SYM
cana-5262	206	3	acm	acm	PROPN
cana-5262	206	4	transactions	transaction	NOUN
cana-5262	206	5	on	on	ADP
cana-5262	206	6	networking	network	VERB
cana-5262	206	7	,	,	PUNCT
cana-5262	206	8	25	25	NUM
cana-5262	206	9	,	,	PUNCT
cana-5262	206	10	2082	2082	NUM
cana-5262	206	11	–	–	PUNCT
cana-5262	206	12	2095	2095	NUM
cana-5262	206	13	.	.	PUNCT
cana-5262	207	1	[	[	X
cana-5262	207	2	11	11	NUM
cana-5262	207	3	]	]	SYM
cana-5262	207	4	deng	deng	PROPN
cana-5262	207	5	,	,	PUNCT
cana-5262	207	6	y.	y.	PROPN
cana-5262	207	7	,	,	PUNCT
cana-5262	207	8	lv	lv	PROPN
cana-5262	207	9	,	,	PUNCT
cana-5262	207	10	j.	j.	PROPN
cana-5262	207	11	,	,	PUNCT
cana-5262	207	12	huang	huang	PROPN
cana-5262	207	13	,	,	PUNCT
cana-5262	207	14	d.	d.	PROPN
cana-5262	207	15	,	,	PUNCT
cana-5262	207	16	&	&	CCONJ
cana-5262	207	17	du	du	PROPN
cana-5262	207	18	,	,	PUNCT
cana-5262	207	19	s.	s.	PROPN
cana-5262	207	20	(	(	PUNCT
cana-5262	207	21	2023	2023	NUM
cana-5262	207	22	)	)	PUNCT
cana-5262	207	23	.	.	PUNCT
cana-5262	208	1	combining	combine	VERB
cana-5262	208	2	the	the	DET
cana-5262	208	3	theoretical	theoretical	ADJ
cana-5262	208	4	bound	bind	VERB
cana-5262	208	5	and	and	CCONJ
cana-5262	208	6	deep	deep	ADJ
cana-5262	208	7	adversarial	adversarial	ADJ
cana-5262	208	8	network	network	NOUN
cana-5262	208	9	for	for	ADP
cana-5262	208	10	machinery	machinery	NOUN
cana-5262	208	11	open	open	ADJ
cana-5262	208	12	-	-	PUNCT
cana-5262	208	13	set	set	VERB
cana-5262	208	14	diagnosis	diagnosis	NOUN
cana-5262	208	15	transfer	transfer	NOUN
cana-5262	208	16	.	.	PUNCT
cana-5262	209	1	neurocomputing	neurocomputing	NOUN
cana-5262	209	2	,	,	PUNCT
cana-5262	209	3	126391	126391	NUM
cana-5262	209	4	.	.	PUNCT
cana-5262	210	1	[	[	X
cana-5262	210	2	12	12	NUM
cana-5262	210	3	]	]	X
cana-5262	210	4	el	el	NOUN
cana-5262	210	5	-	-	NOUN
cana-5262	210	6	sofany	sofany	NOUN
cana-5262	210	7	,	,	PUNCT
cana-5262	210	8	h.	h.	PROPN
cana-5262	210	9	,	,	PUNCT
cana-5262	210	10	el	el	PROPN
cana-5262	210	11	-	-	NOUN
cana-5262	210	12	seoud	seoud	NOUN
cana-5262	210	13	,	,	PUNCT
cana-5262	210	14	s.	s.	PROPN
cana-5262	210	15	a.	a.	PROPN
cana-5262	210	16	,	,	PUNCT
cana-5262	210	17	karam	karam	PROPN
cana-5262	210	18	,	,	PUNCT
cana-5262	210	19	o.	o.	PROPN
cana-5262	210	20	h.	h.	PROPN
cana-5262	210	21	,	,	PUNCT
cana-5262	210	22	&	&	CCONJ
cana-5262	210	23	bouallegue	bouallegue	PROPN
cana-5262	210	24	,	,	PUNCT
cana-5262	210	25	b.	b.	PROPN
cana-5262	210	26	(	(	PUNCT
cana-5262	210	27	2024	2024	NUM
cana-5262	210	28	)	)	PUNCT
cana-5262	210	29	.	.	PUNCT
cana-5262	211	1	using	use	VERB
cana-5262	211	2	machine	machine	NOUN
cana-5262	211	3	learning	learn	VERB
cana-5262	211	4	algorithms	algorithm	NOUN
cana-5262	211	5	to	to	PART
cana-5262	211	6	enhance	enhance	VERB
cana-5262	211	7	iot	iot	NOUN
cana-5262	211	8	system	system	NOUN
cana-5262	211	9	security	security	NOUN
cana-5262	211	10	.	.	PUNCT
cana-5262	212	1	scientific	scientific	ADJ
cana-5262	212	2	reports	report	NOUN
cana-5262	212	3	,	,	PUNCT
cana-5262	212	4	14(1	14(1	NUM
cana-5262	212	5	)	)	PUNCT
cana-5262	212	6	.	.	PUNCT
cana-5262	213	1	https://doi.org/10.1038/s41598-024-62861-y	https://doi.org/10.1038/s41598-024-62861-y	NOUN
cana-5262	214	1	[	[	X
cana-5262	214	2	13	13	NUM
cana-5262	214	3	]	]	SYM
cana-5262	214	4	gu	gu	NOUN
cana-5262	214	5	,	,	PUNCT
cana-5262	214	6	j.	j.	PROPN
cana-5262	214	7	,	,	PUNCT
cana-5262	214	8	&	&	CCONJ
cana-5262	214	9	lu	lu	PROPN
cana-5262	214	10	,	,	PUNCT
cana-5262	214	11	s.	s.	PROPN
cana-5262	214	12	(	(	PUNCT
cana-5262	214	13	2021	2021	NUM
cana-5262	214	14	)	)	PUNCT
cana-5262	214	15	.	.	PUNCT
cana-5262	215	1	an	an	DET
cana-5262	215	2	effective	effective	ADJ
cana-5262	215	3	intrusion	intrusion	NOUN
cana-5262	215	4	detection	detection	NOUN
cana-5262	215	5	approach	approach	NOUN
cana-5262	215	6	using	use	VERB
cana-5262	215	7	svm	svm	PROPN
cana-5262	215	8	with	with	ADP
cana-5262	215	9	naive	naive	ADJ
cana-5262	215	10	bayes	bayes	NOUN
cana-5262	215	11	feature	feature	VERB
cana-5262	215	12	embedding	embed	VERB
cana-5262	215	13	.	.	PUNCT
cana-5262	216	1	computers	computer	NOUN
cana-5262	216	2	&	&	CCONJ
cana-5262	216	3	security	security	NOUN
cana-5262	216	4	,	,	PUNCT
cana-5262	216	5	103	103	NUM
cana-5262	216	6	,	,	PUNCT
cana-5262	216	7	102158	102158	NUM
cana-5262	216	8	.	.	PUNCT
cana-5262	217	1	[	[	X
cana-5262	217	2	14	14	NUM
cana-5262	217	3	]	]	X
cana-5262	217	4	guezzaz	guezzaz	NOUN
cana-5262	217	5	,	,	PUNCT
cana-5262	217	6	a.	a.	NOUN
cana-5262	217	7	,	,	PUNCT
cana-5262	217	8	benkirane	benkirane	PROPN
cana-5262	217	9	,	,	PUNCT
cana-5262	217	10	s.	s.	PROPN
cana-5262	217	11	,	,	PUNCT
cana-5262	217	12	azrour	azrour	ADJ
cana-5262	217	13	,	,	PUNCT
cana-5262	217	14	m.	m.	NOUN
cana-5262	217	15	,	,	PUNCT
cana-5262	217	16	&	&	CCONJ
cana-5262	217	17	khurram	khurram	PROPN
cana-5262	217	18	,	,	PUNCT
cana-5262	217	19	s.	s.	PROPN
cana-5262	217	20	(	(	PUNCT
cana-5262	217	21	2021	2021	NUM
cana-5262	217	22	)	)	PUNCT
cana-5262	217	23	.	.	PUNCT
cana-5262	218	1	a	a	DET
cana-5262	218	2	reliable	reliable	ADJ
cana-5262	218	3	network	network	NOUN
cana-5262	218	4	intrusion	intrusion	NOUN
cana-5262	218	5	detection	detection	NOUN
cana-5262	218	6	approach	approach	NOUN
cana-5262	218	7	using	use	VERB
cana-5262	218	8	decision	decision	NOUN
cana-5262	218	9	tree	tree	NOUN
cana-5262	218	10	with	with	ADP
cana-5262	218	11	enhanced	enhanced	ADJ
cana-5262	218	12	data	datum	NOUN
cana-5262	218	13	quality	quality	NOUN
cana-5262	218	14	.	.	PUNCT
cana-5262	219	1	security	security	NOUN
cana-5262	219	2	and	and	CCONJ
cana-5262	219	3	communication	communication	NOUN
cana-5262	219	4	networks	network	NOUN
cana-5262	219	5	,	,	PUNCT
cana-5262	219	6	2021	2021	NUM
cana-5262	219	7	,	,	PUNCT
cana-5262	219	8	1–8	1–8	X
cana-5262	219	9	.	.	PUNCT
cana-5262	220	1	[	[	X
cana-5262	220	2	15	15	NUM
cana-5262	220	3	]	]	X
cana-5262	220	4	guo	guo	PROPN
cana-5262	220	5	,	,	PUNCT
cana-5262	220	6	y.	y.	PROPN
cana-5262	220	7	,	,	PUNCT
cana-5262	220	8	wu	wu	PROPN
cana-5262	220	9	,	,	PUNCT
cana-5262	220	10	y.	y.	PROPN
cana-5262	220	11	,	,	PUNCT
cana-5262	220	12	&	&	CCONJ
cana-5262	220	13	guo	guo	PROPN
cana-5262	220	14	,	,	PUNCT
cana-5262	220	15	j.	j.	PROPN
cana-5262	220	16	(	(	PUNCT
cana-5262	220	17	2017	2017	NUM
cana-5262	220	18	)	)	PUNCT
cana-5262	220	19	.	.	PUNCT
cana-5262	221	1	experimental	experimental	ADJ
cana-5262	221	2	validation	validation	NOUN
cana-5262	221	3	of	of	ADP
cana-5262	221	4	fuzzy	fuzzy	ADJ
cana-5262	221	5	pid	pid	NOUN
cana-5262	221	6	control	control	NOUN
cana-5262	221	7	of	of	ADP
cana-5262	221	8	flexible	flexible	ADJ
cana-5262	221	9	joint	joint	ADJ
cana-5262	221	10	system	system	NOUN
cana-5262	221	11	in	in	ADP
cana-5262	221	12	presence	presence	NOUN
cana-5262	221	13	of	of	ADP
cana-5262	221	14	uncertainties	uncertainty	NOUN
cana-5262	221	15	.	.	PUNCT
cana-5262	222	1	in	in	ADP
cana-5262	222	2	2017	2017	NUM
cana-5262	222	3	36th	36th	ADJ
cana-5262	222	4	chinese	chinese	ADJ
cana-5262	222	5	control	control	PROPN
cana-5262	222	6	conference	conference	PROPN
cana-5262	222	7	(	(	PUNCT
cana-5262	222	8	ccc	ccc	PROPN
cana-5262	222	9	)	)	PUNCT
cana-5262	222	10	(	(	PUNCT
cana-5262	222	11	pp	pp	ADP
cana-5262	222	12	.	.	PUNCT
cana-5262	222	13	4192	4192	NUM
cana-5262	222	14	–	–	PUNCT
cana-5262	222	15	4197	4197	NUM
cana-5262	222	16	)	)	PUNCT
cana-5262	222	17	.	.	PUNCT
cana-5262	223	1	ieee	ieee	PROPN
cana-5262	223	2	.	.	PUNCT
cana-5262	224	1	https://doi.org/10.23919/chicc.2017.8028015	https://doi.org/10.23919/chicc.2017.8028015	PROPN
cana-5262	225	1	[	[	X
cana-5262	225	2	16	16	NUM
cana-5262	225	3	]	]	X
cana-5262	225	4	hazrat	hazrat	NOUN
cana-5262	225	5	,	,	PUNCT
cana-5262	225	6	b.	b.	PROPN
cana-5262	225	7	,	,	PUNCT
cana-5262	225	8	yin	yin	PROPN
cana-5262	225	9	,	,	PUNCT
cana-5262	225	10	b.	b.	PROPN
cana-5262	225	11	,	,	PUNCT
cana-5262	225	12	kumar	kumar	PROPN
cana-5262	225	13	,	,	PUNCT
cana-5262	225	14	a.	a.	PROPN
cana-5262	225	15	,	,	PUNCT
cana-5262	225	16	ali	ali	PROPN
cana-5262	225	17	,	,	PUNCT
cana-5262	225	18	m.	m.	NOUN
cana-5262	225	19	,	,	PUNCT
cana-5262	225	20	zhang	zhang	PROPN
cana-5262	225	21	,	,	PUNCT
cana-5262	225	22	j.	j.	PROPN
cana-5262	225	23	,	,	PUNCT
cana-5262	225	24	&	&	CCONJ
cana-5262	225	25	yao	yao	PROPN
cana-5262	225	26	,	,	PUNCT
cana-5262	225	27	j.	j.	PROPN
cana-5262	225	28	(	(	PUNCT
cana-5262	225	29	2023	2023	NUM
cana-5262	225	30	)	)	PUNCT
cana-5262	225	31	.	.	PUNCT
cana-5262	226	1	jerk	jerk	NOUN
cana-5262	226	2	-	-	PUNCT
cana-5262	226	3	bounded	bound	VERB
cana-5262	226	4	trajectory	trajectory	NOUN
cana-5262	226	5	planning	planning	NOUN
cana-5262	226	6	for	for	ADP
cana-5262	226	7	rotary	rotary	ADJ
cana-5262	226	8	flexible	flexible	ADJ
cana-5262	226	9	joint	joint	ADJ
cana-5262	226	10	manipulator	manipulator	NOUN
cana-5262	226	11	:	:	PUNCT
cana-5262	226	12	an	an	DET
cana-5262	226	13	experimental	experimental	ADJ
cana-5262	226	14	approach	approach	NOUN
cana-5262	226	15	.	.	PUNCT
cana-5262	227	1	soft	soft	ADJ
cana-5262	227	2	computing	computing	NOUN
cana-5262	227	3	,	,	PUNCT
cana-5262	227	4	27(7	27(7	NUM
cana-5262	227	5	)	)	PUNCT
cana-5262	227	6	,	,	PUNCT
cana-5262	228	1	[	[	X
cana-5262	228	2	17	17	NUM
cana-5262	228	3	]	]	PUNCT
cana-5262	228	4	4029–4039	4029–4039	NUM
cana-5262	228	5	.	.	PUNCT
cana-5262	229	1	https://doi.org/10.1007/s00500-023-07923-5	https://doi.org/10.1007/s00500-023-07923-5	NOUN
cana-5262	230	1	[	[	X
cana-5262	230	2	18	18	NUM
cana-5262	230	3	]	]	X
cana-5262	230	4	jiang	jiang	PROPN
cana-5262	230	5	,	,	PUNCT
cana-5262	230	6	h.	h.	PROPN
cana-5262	230	7	,	,	PUNCT
cana-5262	230	8	xiao	xiao	PROPN
cana-5262	230	9	,	,	PUNCT
cana-5262	230	10	z.	z.	PROPN
cana-5262	230	11	,	,	PUNCT
cana-5262	230	12	li	li	PROPN
cana-5262	230	13	,	,	PUNCT
cana-5262	230	14	z.	z.	PROPN
cana-5262	230	15	,	,	PUNCT
cana-5262	230	16	xu	xu	PROPN
cana-5262	230	17	,	,	PUNCT
cana-5262	230	18	j.	j.	PROPN
cana-5262	230	19	,	,	PUNCT
cana-5262	230	20	zeng	zeng	PROPN
cana-5262	230	21	,	,	PUNCT
cana-5262	230	22	f.	f.	PROPN
cana-5262	230	23	,	,	PUNCT
cana-5262	230	24	&	&	CCONJ
cana-5262	230	25	wang	wang	PROPN
cana-5262	230	26	,	,	PUNCT
cana-5262	230	27	d.	d.	PROPN
cana-5262	230	28	(	(	PUNCT
cana-5262	230	29	2020a	2020a	NUM
cana-5262	230	30	)	)	PUNCT
cana-5262	230	31	.	.	PUNCT
cana-5262	231	1	an	an	DET
cana-5262	231	2	energy	energy	NOUN
cana-5262	231	3	-	-	PUNCT
cana-5262	231	4	efficient	efficient	ADJ
cana-5262	231	5	framework	framework	NOUN
cana-5262	231	6	for	for	ADP
cana-5262	231	7	internet	internet	NOUN
cana-5262	231	8	of	of	ADP
cana-5262	231	9	things	thing	NOUN
cana-5262	231	10	underlying	underlie	VERB
cana-5262	231	11	heterogeneous	heterogeneous	ADJ
cana-5262	231	12	small	small	ADJ
cana-5262	231	13	cell	cell	NOUN
cana-5262	231	14	networks	network	NOUN
cana-5262	231	15	.	.	PUNCT
cana-5262	232	1	ieee	ieee	NOUN
cana-5262	232	2	transactions	transaction	NOUN
cana-5262	232	3	on	on	ADP
cana-5262	232	4	mobile	mobile	ADJ
cana-5262	232	5	computing	computing	NOUN
cana-5262	232	6	,	,	PUNCT
cana-5262	232	7	21	21	NUM
cana-5262	232	8	,	,	PUNCT
cana-5262	232	9	31–43	31–43	NUM
cana-5262	232	10	.	.	PUNCT
cana-5262	233	1	[	[	X
cana-5262	233	2	19	19	NUM
cana-5262	233	3	]	]	X
cana-5262	233	4	jiang	jiang	PROPN
cana-5262	233	5	,	,	PUNCT
cana-5262	233	6	k.	k.	PROPN
cana-5262	233	7	,	,	PUNCT
cana-5262	233	8	wang	wang	PROPN
cana-5262	233	9	,	,	PUNCT
cana-5262	233	10	w.	w.	PROPN
cana-5262	233	11	,	,	PUNCT
cana-5262	233	12	wang	wang	PROPN
cana-5262	233	13	,	,	PUNCT
cana-5262	233	14	a.	a.	PROPN
cana-5262	233	15	,	,	PUNCT
cana-5262	233	16	&	&	CCONJ
cana-5262	233	17	wu	wu	PROPN
cana-5262	233	18	,	,	PUNCT
cana-5262	233	19	h.	h.	PROPN
cana-5262	233	20	(	(	PUNCT
cana-5262	233	21	2020b	2020b	NUM
cana-5262	233	22	)	)	PUNCT
cana-5262	233	23	.	.	PUNCT
cana-5262	234	1	network	network	NOUN
cana-5262	234	2	intrusion	intrusion	PROPN
cana-5262	234	3	detection	detection	NOUN
cana-5262	234	4	combined	combine	VERB
cana-5262	234	5	hybrid	hybrid	NOUN
cana-5262	234	6	sampling	sampling	NOUN
cana-5262	234	7	with	with	ADP
cana-5262	234	8	deep	deep	ADJ
cana-5262	234	9	hierarchical	hierarchical	ADJ
cana-5262	234	10	network	network	NOUN
cana-5262	234	11	.	.	PUNCT
cana-5262	235	1	ieee	ieee	NOUN
cana-5262	235	2	access	access	NOUN
cana-5262	235	3	,	,	PUNCT
cana-5262	235	4	8	8	NUM
cana-5262	235	5	,	,	PUNCT
cana-5262	235	6	32464–32476	32464–32476	NUM
cana-5262	235	7	.	.	PUNCT
cana-5262	236	1	[	[	X
cana-5262	236	2	20	20	NUM
cana-5262	236	3	]	]	SYM
cana-5262	236	4	khraisat	khraisat	PROPN
cana-5262	236	5	,	,	PUNCT
cana-5262	236	6	a.	a.	NOUN
cana-5262	236	7	,	,	PUNCT
cana-5262	236	8	gondal	gondal	NOUN
cana-5262	236	9	,	,	PUNCT
cana-5262	236	10	i.	i.	NOUN
cana-5262	236	11	,	,	PUNCT
cana-5262	236	12	vamplew	vamplew	NOUN
cana-5262	236	13	,	,	PUNCT
cana-5262	236	14	p.	p.	NOUN
cana-5262	236	15	,	,	PUNCT
cana-5262	236	16	&	&	CCONJ
cana-5262	236	17	kamruzzaman	kamruzzaman	PROPN
cana-5262	236	18	,	,	PUNCT
cana-5262	236	19	j.	j.	PROPN
cana-5262	236	20	(	(	PUNCT
cana-5262	236	21	2019	2019	NUM
cana-5262	236	22	)	)	PUNCT
cana-5262	236	23	.	.	PUNCT
cana-5262	237	1	survey	survey	NOUN
cana-5262	237	2	of	of	ADP
cana-5262	237	3	intrusion	intrusion	NOUN
cana-5262	237	4	detection	detection	NOUN
cana-5262	237	5	systems	system	NOUN
cana-5262	237	6	:	:	PUNCT
cana-5262	237	7	techniques	technique	NOUN
cana-5262	237	8	,	,	PUNCT
cana-5262	237	9	datasets	dataset	NOUN
cana-5262	237	10	and	and	CCONJ
cana-5262	237	11	challenges	challenge	NOUN
cana-5262	237	12	.	.	PUNCT
cana-5262	238	1	cybersecurity	cybersecurity	NOUN
cana-5262	238	2	,	,	PUNCT
cana-5262	238	3	2	2	NUM
cana-5262	238	4	,	,	PUNCT
cana-5262	238	5	1–22	1–22	NOUN
cana-5262	238	6	.	.	PUNCT
cana-5262	239	1	[	[	X
cana-5262	239	2	21	21	NUM
cana-5262	239	3	]	]	X
cana-5262	239	4	kumar	kumar	PROPN
cana-5262	239	5	,	,	PUNCT
cana-5262	239	6	a.	a.	NOUN
cana-5262	239	7	,	,	PUNCT
cana-5262	239	8	shaikh	shaikh	PROPN
cana-5262	239	9	,	,	PUNCT
cana-5262	239	10	a.	a.	NOUN
cana-5262	239	11	m.	m.	NOUN
cana-5262	239	12	,	,	PUNCT
cana-5262	239	13	li	li	PROPN
cana-5262	239	14	,	,	PUNCT
cana-5262	239	15	y.	y.	PROPN
cana-5262	239	16	,	,	PUNCT
cana-5262	239	17	et	et	PROPN
cana-5262	239	18	al	al	PROPN
cana-5262	239	19	.	.	PROPN
cana-5262	239	20	(	(	PUNCT
cana-5262	239	21	2021	2021	NUM
cana-5262	239	22	)	)	PUNCT
cana-5262	239	23	.	.	PUNCT
cana-5262	240	1	pruning	prune	VERB
cana-5262	240	2	filters	filter	NOUN
cana-5262	240	3	with	with	ADP
cana-5262	240	4	l1	l1	NOUN
cana-5262	240	5	-	-	PUNCT
cana-5262	240	6	norm	norm	NOUN
cana-5262	240	7	and	and	CCONJ
cana-5262	240	8	capped	cap	VERB
cana-5262	240	9	l1	l1	NOUN
cana-5262	240	10	-	-	PUNCT
cana-5262	240	11	norm	norm	NOUN
cana-5262	240	12	for	for	ADP
cana-5262	240	13	cnn	cnn	PROPN
cana-5262	240	14	compression	compression	PROPN
cana-5262	240	15	.	.	PUNCT
cana-5262	241	1	applied	apply	VERB
cana-5262	241	2	intelligence	intelligence	NOUN
cana-5262	241	3	,	,	PUNCT
cana-5262	241	4	51	51	NUM
cana-5262	241	5	,	,	PUNCT
cana-5262	241	6	1152–1160	1152–1160	NUM
cana-5262	241	7	.	.	PUNCT
cana-5262	242	1	https://doi.org/10.1007/s10489-02001894-y	https://doi.org/10.1007/s10489-02001894-y	PROPN
cana-5262	242	2	[	[	X
cana-5262	242	3	22	22	NUM
cana-5262	242	4	]	]	X
cana-5262	242	5	latif	latif	PROPN
cana-5262	242	6	,	,	PUNCT
cana-5262	242	7	s.	s.	PROPN
cana-5262	242	8	,	,	PUNCT
cana-5262	242	9	zou	zou	PROPN
cana-5262	242	10	,	,	PUNCT
cana-5262	242	11	z.	z.	PROPN
cana-5262	242	12	,	,	PUNCT
cana-5262	242	13	idrees	idree	NOUN
cana-5262	242	14	,	,	PUNCT
cana-5262	242	15	z.	z.	PROPN
cana-5262	242	16	,	,	PUNCT
cana-5262	242	17	&	&	CCONJ
cana-5262	242	18	ahmad	ahmad	PROPN
cana-5262	242	19	,	,	PUNCT
cana-5262	242	20	j.	j.	PROPN
cana-5262	242	21	(	(	PUNCT
cana-5262	242	22	2020	2020	NUM
cana-5262	242	23	)	)	PUNCT
cana-5262	242	24	.	.	PUNCT
cana-5262	243	1	a	a	DET
cana-5262	243	2	novel	novel	ADJ
cana-5262	243	3	attack	attack	NOUN
cana-5262	243	4	detection	detection	NOUN
cana-5262	243	5	scheme	scheme	NOUN
cana-5262	243	6	for	for	ADP
cana-5262	243	7	the	the	DET
cana-5262	243	8	industrial	industrial	ADJ
cana-5262	243	9	internet	internet	NOUN
cana-5262	243	10	of	of	ADP
cana-5262	243	11	things	thing	NOUN
cana-5262	243	12	using	use	VERB
cana-5262	243	13	a	a	DET
cana-5262	243	14	lightweight	lightweight	ADJ
cana-5262	243	15	random	random	ADJ
cana-5262	243	16	neural	neural	ADJ
cana-5262	243	17	network	network	NOUN
cana-5262	243	18	.	.	PUNCT
cana-5262	244	1	ieee	ieee	NOUN
cana-5262	244	2	access	access	NOUN
cana-5262	244	3	,	,	PUNCT
cana-5262	244	4	8	8	NUM
cana-5262	244	5	,	,	PUNCT
cana-5262	244	6	89337–89350	89337–89350	NUM
cana-5262	244	7	.	.	PUNCT
cana-5262	245	1	[	[	X
cana-5262	245	2	23	23	NUM
cana-5262	245	3	]	]	SYM
cana-5262	245	4	li	li	PROPN
cana-5262	245	5	,	,	PUNCT
cana-5262	245	6	b.	b.	PROPN
cana-5262	245	7	,	,	PUNCT
cana-5262	245	8	zhou	zhou	PROPN
cana-5262	245	9	,	,	PUNCT
cana-5262	245	10	x.	x.	NOUN
cana-5262	245	11	,	,	PUNCT
cana-5262	245	12	ning	ning	PROPN
cana-5262	245	13	,	,	PUNCT
cana-5262	245	14	z.	z.	PROPN
cana-5262	245	15	,	,	PUNCT
cana-5262	245	16	guan	guan	PROPN
cana-5262	245	17	,	,	PUNCT
cana-5262	245	18	x.	x.	PROPN
cana-5262	245	19	,	,	PUNCT
cana-5262	245	20	&	&	CCONJ
cana-5262	245	21	yiu	yiu	PROPN
cana-5262	245	22	,	,	PUNCT
cana-5262	245	23	k.-f	k.-f	NOUN
cana-5262	245	24	.	.	PUNCT
cana-5262	246	1	c.	c.	NOUN
cana-5262	246	2	(	(	PUNCT
cana-5262	246	3	2022a	2022a	NUM
cana-5262	246	4	)	)	PUNCT
cana-5262	246	5	.	.	PUNCT
cana-5262	247	1	dynamic	dynamic	ADJ
cana-5262	247	2	event	event	NOUN
cana-5262	247	3	-	-	PUNCT
cana-5262	247	4	triggered	trigger	VERB
cana-5262	247	5	security	security	NOUN
cana-5262	247	6	control	control	NOUN
cana-5262	247	7	for	for	ADP
cana-5262	247	8	networked	networked	ADJ
cana-5262	247	9	control	control	NOUN
cana-5262	247	10	systems	system	NOUN
cana-5262	247	11	with	with	ADP
cana-5262	247	12	cyber	cyber	NOUN
cana-5262	247	13	-	-	PUNCT
cana-5262	247	14	attacks	attack	NOUN
cana-5262	247	15	:	:	PUNCT
cana-5262	247	16	a	a	DET
cana-5262	247	17	model	model	NOUN
cana-5262	247	18	predictive	predictive	PROPN
cana-5262	247	19	control	control	PROPN
cana-5262	247	20	approach	approach	NOUN
cana-5262	247	21	.	.	PUNCT
cana-5262	248	1	information	information	NOUN
cana-5262	248	2	sciences	sciences	PROPN
cana-5262	248	3	,	,	PUNCT
cana-5262	248	4	612	612	NUM
cana-5262	248	5	,	,	PUNCT
cana-5262	248	6	384–398	384–398	NUM
cana-5262	248	7	.	.	PUNCT
cana-5262	249	1	[	[	X
cana-5262	249	2	24	24	NUM
cana-5262	249	3	]	]	SYM
cana-5262	249	4	li	li	PROPN
cana-5262	249	5	,	,	PUNCT
cana-5262	249	6	j.	j.	PROPN
cana-5262	249	7	,	,	PUNCT
cana-5262	249	8	deng	deng	PROPN
cana-5262	249	9	,	,	PUNCT
cana-5262	249	10	y.	y.	PROPN
cana-5262	249	11	,	,	PUNCT
cana-5262	249	12	sun	sun	PROPN
cana-5262	249	13	,	,	PUNCT
cana-5262	249	14	w.	w.	PROPN
cana-5262	249	15	,	,	PUNCT
cana-5262	249	16	li	li	PROPN
cana-5262	249	17	,	,	PUNCT
cana-5262	249	18	w.	w.	PROPN
cana-5262	249	19	,	,	PUNCT
cana-5262	249	20	li	li	PROPN
cana-5262	249	21	,	,	PUNCT
cana-5262	249	22	r.	r.	PROPN
cana-5262	249	23	,	,	PUNCT
cana-5262	249	24	li	li	PROPN
cana-5262	249	25	,	,	PUNCT
cana-5262	249	26	q.	q.	PROPN
cana-5262	249	27	,	,	PUNCT
cana-5262	249	28	&	&	CCONJ
cana-5262	249	29	liu	liu	PROPN
cana-5262	249	30	,	,	PUNCT
cana-5262	249	31	z.	z.	PROPN
cana-5262	249	32	(	(	PUNCT
cana-5262	249	33	2022b	2022b	NUM
cana-5262	249	34	)	)	PUNCT
cana-5262	249	35	.	.	PUNCT
cana-5262	250	1	resource	resource	NOUN
cana-5262	250	2	orchestration	orchestration	NOUN
cana-5262	250	3	of	of	ADP
cana-5262	250	4	cloudedge	cloudedge	NOUN
cana-5262	250	5	–	–	PUNCT
cana-5262	250	6	based	base	VERB
cana-5262	250	7	smart	smart	ADJ
cana-5262	250	8	grid	grid	NOUN
cana-5262	250	9	fault	fault	NOUN
cana-5262	250	10	detection	detection	NOUN
cana-5262	250	11	.	.	PUNCT
cana-5262	251	1	acm	acm	PROPN
cana-5262	251	2	transactions	transaction	NOUN
cana-5262	251	3	on	on	ADP
cana-5262	251	4	sensor	sensor	NOUN
cana-5262	251	5	networks	network	NOUN
cana-5262	251	6	(	(	PUNCT
cana-5262	251	7	tosn	tosn	NOUN
cana-5262	251	8	)	)	PUNCT
cana-5262	251	9	,	,	PUNCT
cana-5262	251	10	18	18	NUM
cana-5262	251	11	,	,	PUNCT
cana-5262	251	12	1–26	1–26	NOUN
cana-5262	251	13	.	.	PUNCT
cana-5262	252	1	[	[	X
cana-5262	252	2	25	25	NUM
cana-5262	252	3	]	]	X
cana-5262	252	4	lu	lu	PROPN
cana-5262	252	5	,	,	PUNCT
cana-5262	252	6	c.	c.	PROPN
cana-5262	252	7	,	,	PUNCT
cana-5262	252	8	wang	wang	PROPN
cana-5262	252	9	,	,	PUNCT
cana-5262	252	10	x.	x.	PROPN
cana-5262	252	11	,	,	PUNCT
cana-5262	252	12	yang	yang	PROPN
cana-5262	252	13	,	,	PUNCT
cana-5262	252	14	a.	a.	PROPN
cana-5262	252	15	,	,	PUNCT
cana-5262	252	16	liu	liu	PROPN
cana-5262	252	17	,	,	PUNCT
cana-5262	252	18	y.	y.	PROPN
cana-5262	252	19	,	,	PUNCT
cana-5262	252	20	&	&	CCONJ
cana-5262	252	21	dong	dong	PROPN
cana-5262	252	22	,	,	PUNCT
cana-5262	252	23	z.	z.	PROPN
cana-5262	252	24	(	(	PUNCT
cana-5262	252	25	2023	2023	NUM
cana-5262	252	26	)	)	PUNCT
cana-5262	252	27	.	.	PUNCT
cana-5262	253	1	a	a	DET
cana-5262	253	2	few	few	ADJ
cana-5262	253	3	-	-	PUNCT
cana-5262	253	4	shot	shot	NOUN
cana-5262	253	5	based	base	VERB
cana-5262	253	6	model	model	NOUN
cana-5262	253	7	-	-	ADJ
cana-5262	253	8	agnostic	agnostic	ADJ
cana-5262	253	9	metalearning	metalearning	NOUN
cana-5262	253	10	for	for	ADP
cana-5262	253	11	intrusion	intrusion	NOUN
cana-5262	253	12	detection	detection	NOUN
cana-5262	253	13	in	in	ADP
cana-5262	253	14	security	security	NOUN
cana-5262	253	15	of	of	ADP
cana-5262	253	16	internet	internet	NOUN
cana-5262	253	17	of	of	ADP
cana-5262	253	18	things	thing	NOUN
cana-5262	253	19	.	.	PUNCT
cana-5262	254	1	ieee	ieee	PROPN
cana-5262	254	2	internet	internet	NOUN
cana-5262	254	3	of	of	ADP
cana-5262	254	4	things	thing	NOUN
cana-5262	254	5	journal	journal	NOUN
cana-5262	254	6	.	.	PUNCT
cana-5262	255	1	[	[	X
cana-5262	255	2	26	26	NUM
cana-5262	255	3	]	]	X
cana-5262	255	4	luo	luo	PROPN
cana-5262	255	5	,	,	PUNCT
cana-5262	255	6	p.	p.	PROPN
cana-5262	255	7	,	,	PUNCT
cana-5262	255	8	wang	wang	PROPN
cana-5262	255	9	,	,	PUNCT
cana-5262	255	10	b.	b.	PROPN
cana-5262	255	11	,	,	PUNCT
cana-5262	255	12	wang	wang	PROPN
cana-5262	255	13	,	,	PUNCT
cana-5262	255	14	h.	h.	PROPN
cana-5262	255	15	,	,	PUNCT
cana-5262	255	16	ma	ma	PROPN
cana-5262	255	17	,	,	PUNCT
cana-5262	255	18	f.	f.	PROPN
cana-5262	255	19	,	,	PUNCT
cana-5262	255	20	ma	ma	PROPN
cana-5262	255	21	,	,	PUNCT
cana-5262	255	22	h.	h.	PROPN
cana-5262	255	23	,	,	PUNCT
cana-5262	255	24	&	&	CCONJ
cana-5262	255	25	wang	wang	PROPN
cana-5262	255	26	,	,	PUNCT
cana-5262	255	27	l.	l.	PROPN
cana-5262	255	28	(	(	PUNCT
cana-5262	255	29	2023	2023	NUM
cana-5262	255	30	)	)	PUNCT
cana-5262	255	31	.	.	PUNCT
cana-5262	256	1	an	an	DET
cana-5262	256	2	ultrasmall	ultrasmall	ADJ
cana-5262	256	3	bolt	bolt	NOUN
cana-5262	256	4	defect	defect	NOUN
cana-5262	256	5	detection	detection	NOUN
cana-5262	256	6	method	method	NOUN
cana-5262	256	7	for	for	ADP
cana-5262	256	8	transmission	transmission	NOUN
cana-5262	256	9	line	line	NOUN
cana-5262	256	10	inspection	inspection	NOUN
cana-5262	256	11	.	.	PUNCT
cana-5262	257	1	ieee	ieee	NOUN
cana-5262	257	2	transactions	transaction	NOUN
cana-5262	257	3	on	on	ADP
cana-5262	257	4	instrumentation	instrumentation	NOUN
cana-5262	257	5	and	and	CCONJ
cana-5262	257	6	measurement	measurement	NOUN
cana-5262	257	7	,	,	PUNCT
cana-5262	257	8	72	72	NUM
cana-5262	257	9	,	,	PUNCT
cana-5262	257	10	1–12	1–12	NOUN
cana-5262	257	11	.	.	PUNCT
cana-5262	258	1	[	[	X
cana-5262	258	2	27	27	NUM
cana-5262	258	3	]	]	SYM
cana-5262	258	4	identity	identity	NOUN
cana-5262	258	5	based	base	VERB
cana-5262	258	6	authentication	authentication	NOUN
cana-5262	258	7	scheme	scheme	NOUN
cana-5262	258	8	(	(	PUNCT
cana-5262	258	9	ias	ias	PROPN
cana-5262	258	10	)	)	PUNCT
cana-5262	258	11	for	for	ADP
cana-5262	258	12	securing	secure	VERB
cana-5262	258	13	wsn	wsn	PROPN
cana-5262	258	14	based	base	VERB
cana-5262	258	15	internet	internet	NOUN
cana-5262	258	16	of	of	ADP
cana-5262	258	17	things	thing	NOUN
cana-5262	258	18	(	(	PUNCT
cana-5262	258	19	journal	journal	NOUN
cana-5262	258	20	of	of	ADP
cana-5262	258	21	electrical	electrical	ADJ
cana-5262	258	22	systems	system	NOUN
cana-5262	258	23	)	)	PUNCT
cana-5262	258	24	pp	pp	ADV
cana-5262	258	25	.	.	PUNCT
cana-5262	259	1	vol	vol	NOUN
cana-5262	259	2	20	20	NUM
cana-5262	259	3	n0	n0	NUM
cana-5262	259	4	.	.	PUNCT
cana-5262	260	1	2s(2024	2s(2024	NUM
cana-5262	260	2	)	)	PUNCT
cana-5262	260	3	(	(	PUNCT
cana-5262	260	4	april	april	PROPN
cana-5262	260	5	2024	2024	NUM
cana-5262	260	6	)	)	PUNCT
cana-5262	260	7	issn	issn	PROPN
cana-5262	260	8	1112	1112	NUM
cana-5262	260	9	-	-	SYM
cana-5262	260	10	5209	5209	NUM
cana-5262	260	11	https://journal.esrgroups.org/jes/article/view/1794	https://journal.esrgroups.org/jes/article/view/1794	PROPN
cana-5262	261	1	[	[	X
cana-5262	261	2	28	28	NUM
cana-5262	261	3	]	]	X
cana-5262	261	4	the	the	DET
cana-5262	261	5	impact	impact	NOUN
cana-5262	261	6	of	of	ADP
cana-5262	261	7	qos	qos	NOUN
cana-5262	261	8	parameters	parameter	NOUN
cana-5262	261	9	on	on	ADP
cana-5262	261	10	the	the	DET
cana-5262	261	11	performance	performance	NOUN
cana-5262	261	12	of	of	ADP
cana-5262	261	13	iot	iot	ADJ
cana-5262	261	14	application	application	NOUN
cana-5262	261	15	.	.	PUNCT
cana-5262	262	1	international	international	ADJ
cana-5262	262	2	journal	journal	NOUN
cana-5262	262	3	of	of	ADP
cana-5262	262	4	intelligent	intelligent	ADJ
cana-5262	262	5	system	system	NOUN
cana-5262	262	6	and	and	CCONJ
cana-5262	262	7	application	application	NOUN
cana-5262	262	8	in	in	ADP
cana-5262	262	9	engineering	engineering	NOUN
cana-5262	262	10	.	.	PUNCT
cana-5262	263	1	(	(	PUNCT
cana-5262	263	2	ijisae	ijisae	PROPN
cana-5262	263	3	)	)	PUNCT
cana-5262	263	4	volume	volume	NOUN
cana-5262	263	5	-12	-12	PROPN
cana-5262	263	6	no3	no3	PROPN
cana-5262	263	7	pp	pp	PROPN
cana-5262	263	8	(	(	PUNCT
cana-5262	263	9	15	15	NUM
cana-5262	263	10	march	march	NOUN
cana-5262	263	11	2024	2024	NUM
cana-5262	263	12	)	)	PUNCT
cana-5262	263	13	issn	issn	PROPN
cana-5262	263	14	2147	2147	NUM
cana-5262	263	15	-	-	SYM
cana-5262	263	16	6799	6799	NUM
cana-5262	263	17	https://ijisae.org/index.php/ijisae/article/view/6155	https://ijisae.org/index.php/ijisae/article/view/6155	NOUN
cana-5262	264	1	[	[	X
cana-5262	264	2	29	29	NUM
cana-5262	264	3	]	]	X
cana-5262	264	4	the	the	DET
cana-5262	264	5	impact	impact	NOUN
cana-5262	264	6	of	of	ADP
cana-5262	264	7	quality	quality	NOUN
cana-5262	264	8	of	of	ADP
cana-5262	264	9	service	service	NOUN
cana-5262	264	10	(	(	PUNCT
cana-5262	264	11	qos	qos	PROPN
cana-5262	264	12	)	)	PUNCT
cana-5262	264	13	parameters	parameter	NOUN
cana-5262	264	14	on	on	ADP
cana-5262	264	15	iot	iot	ADJ
cana-5262	264	16	application	application	NOUN
cana-5262	264	17	performance	performance	NOUN
cana-5262	264	18	volume	volume	NOUN
cana-5262	264	19	3	3	NUM
cana-5262	264	20	,	,	PUNCT
cana-5262	264	21	issue	issue	NOUN
cana-5262	264	22	3	3	NUM
cana-5262	264	23	,	,	PUNCT
cana-5262	264	24	2024	2024	NUM
cana-5262	264	25	,	,	PUNCT
cana-5262	264	26	pp	pp	ADP
cana-5262	264	27	120	120	NUM
cana-5262	264	28	,	,	PUNCT
cana-5262	264	29	issn	issn	PROPN
cana-5262	264	30	2583	2583	NUM
cana-5262	264	31	-	-	SYM
cana-5262	264	32	6196	6196	NUM
cana-5262	264	33	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	NOUN
cana-5262	264	34	https://doi.org/10.1038/s41598-024-62861-y	https://doi.org/10.1038/s41598-024-62861-y	NOUN
cana-5262	264	35	https://doi.org/10.23919/chicc.2017.8028015	https://doi.org/10.23919/chicc.2017.8028015	PROPN
cana-5262	264	36	https://doi.org/10.23919/chicc.2017.8028015	https://doi.org/10.23919/chicc.2017.8028015	PROPN
cana-5262	264	37	https://doi.org/10.1007/s00500-023-07923-5	https://doi.org/10.1007/s00500-023-07923-5	PART
cana-5262	265	1	https://doi.org/10.1007/s10489-020-01894-y	https://doi.org/10.1007/s10489-020-01894-y	PROPN
cana-5262	265	2	https://doi.org/10.1007/s10489-020-01894-y	https://doi.org/10.1007/s10489-020-01894-y	PROPN
cana-5262	265	3	https://journal.esrgroups.org/jes/article/view/1794	https://journal.esrgroups.org/jes/article/view/1794	PROPN
cana-5262	265	4	https://ijisae.org/index.php/ijisae/article/view/6155	https://ijisae.org/index.php/ijisae/article/view/6155	X
cana-5262	265	5	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	https://journal.inence.org/index.php/ijfiahm/article/view/363/263	ADV