id	sid	tid	token	lemma	pos
cana-5221	1	1	communications	communication	NOUN
cana-5221	1	2	on	on	ADP
cana-5221	1	3	applied	apply	VERB
cana-5221	1	4	nonlinear	nonlinear	ADJ
cana-5221	1	5	analysis	analysis	NOUN
cana-5221	1	6	issn	issn	NOUN
cana-5221	1	7	:	:	PUNCT
cana-5221	1	8	1074	1074	NUM
cana-5221	1	9	-	-	PUNCT
cana-5221	1	10	133x	133x	NUM
cana-5221	1	11	vol	vol	VERB
cana-5221	1	12	32	32	NUM
cana-5221	1	13	no	no	NOUN
cana-5221	1	14	.	.	PUNCT
cana-5221	2	1	10s	10	NOUN
cana-5221	2	2	(	(	PUNCT
cana-5221	2	3	2025	2025	NUM
cana-5221	2	4	)	)	PUNCT
cana-5221	2	5	1210	1210	NUM
cana-5221	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	2	7	a	a	DET
cana-5221	2	8	two	two	NUM
cana-5221	2	9	fold	fold	ADJ
cana-5221	2	10	machine	machine	NOUN
cana-5221	2	11	learning	learn	VERB
cana-5221	2	12	approach	approach	NOUN
cana-5221	2	13	to	to	PART
cana-5221	2	14	prevent	prevent	VERB
cana-5221	2	15	and	and	CCONJ
cana-5221	2	16	detect	detect	VERB
cana-5221	2	17	iot	iot	ADJ
cana-5221	2	18	botnet	botnet	NOUN
cana-5221	2	19	attacks	attack	NOUN
cana-5221	2	20	miss	miss	VERB
cana-5221	2	21	.	.	PUNCT
cana-5221	3	1	usha	usha	PROPN
cana-5221	3	2	ravsaheb	ravsaheb	PROPN
cana-5221	3	3	dongare1	dongare1	PROPN
cana-5221	3	4	,	,	PUNCT
cana-5221	3	5	prof	prof	PROPN
cana-5221	3	6	.	.	PUNCT
cana-5221	4	1	dr	dr	PROPN
cana-5221	4	2	.	.	PROPN
cana-5221	4	3	monika	monika	PROPN
cana-5221	4	4	rokade2	rokade2	PROPN
cana-5221	4	5	,	,	PUNCT
cana-5221	4	6	prof	prof	PROPN
cana-5221	4	7	.	.	PUNCT
cana-5221	5	1	dr	dr	PROPN
cana-5221	5	2	.	.	PROPN
cana-5221	5	3	sunil	sunil	PROPN
cana-5221	5	4	khatal3	khatal3	PROPN
cana-5221	6	1	1department	1department	NUM
cana-5221	6	2	of	of	ADP
cana-5221	6	3	computer	computer	NOUN
cana-5221	6	4	engineering	engineering	NOUN
cana-5221	6	5	,	,	PUNCT
cana-5221	6	6	sharadchandra	sharadchandra	PROPN
cana-5221	6	7	pawar	pawar	PROPN
cana-5221	6	8	college	college	PROPN
cana-5221	6	9	of	of	ADP
cana-5221	6	10	engineering	engineering	PROPN
cana-5221	6	11	,	,	PUNCT
cana-5221	6	12	dumbarwadi	dumbarwadi	NOUN
cana-5221	6	13	,	,	PUNCT
cana-5221	6	14	otur	otur	NOUN
cana-5221	6	15	,	,	PUNCT
cana-5221	6	16	pune	pune	NOUN
cana-5221	6	17	,	,	PUNCT
cana-5221	6	18	india	india	PROPN
cana-5221	6	19	ushadongaremd@gmail.com	ushadongaremd@gmail.com	X
cana-5221	7	1	2department	2department	NUM
cana-5221	7	2	of	of	ADP
cana-5221	7	3	computer	computer	NOUN
cana-5221	7	4	engineering	engineering	NOUN
cana-5221	7	5	,	,	PUNCT
cana-5221	7	6	sharadchandra	sharadchandra	PROPN
cana-5221	7	7	pawar	pawar	PROPN
cana-5221	7	8	college	college	PROPN
cana-5221	7	9	of	of	ADP
cana-5221	7	10	engineering	engineering	PROPN
cana-5221	7	11	,	,	PUNCT
cana-5221	7	12	dumbarwadi	dumbarwadi	NOUN
cana-5221	7	13	,	,	PUNCT
cana-5221	7	14	otur	otur	NOUN
cana-5221	7	15	,	,	PUNCT
cana-5221	7	16	pune	pune	NOUN
cana-5221	7	17	,	,	PUNCT
cana-5221	7	18	india	india	PROPN
cana-5221	7	19	monikarokade4@gmail.com	monikarokade4@gmail.com	PROPN
cana-5221	7	20	3hod	3hod	NOUN
cana-5221	7	21	,	,	PUNCT
cana-5221	7	22	department	department	NOUN
cana-5221	7	23	of	of	ADP
cana-5221	7	24	computer	computer	NOUN
cana-5221	7	25	engineering	engineering	NOUN
cana-5221	7	26	,	,	PUNCT
cana-5221	7	27	sharadchandra	sharadchandra	PROPN
cana-5221	7	28	pawar	pawar	PROPN
cana-5221	7	29	college	college	PROPN
cana-5221	7	30	of	of	ADP
cana-5221	7	31	engineering	engineering	PROPN
cana-5221	7	32	,	,	PUNCT
cana-5221	7	33	dumbarwadi	dumbarwadi	NOUN
cana-5221	7	34	,	,	PUNCT
cana-5221	7	35	otur	otur	NOUN
cana-5221	7	36	,	,	PUNCT
cana-5221	7	37	pune	pune	NOUN
cana-5221	7	38	,	,	PUNCT
cana-5221	7	39	india	india	PROPN
cana-5221	7	40	khatalsunils88@gmail.com	khatalsunils88@gmail.com	PROPN
cana-5221	7	41	article	article	NOUN
cana-5221	7	42	history	history	NOUN
cana-5221	7	43	:	:	PUNCT
cana-5221	7	44	received	receive	VERB
cana-5221	7	45	:	:	PUNCT
cana-5221	7	46	12	12	NUM
cana-5221	7	47	-	-	SYM
cana-5221	7	48	01	01	NUM
cana-5221	7	49	-	-	PUNCT
cana-5221	7	50	2025	2025	NUM
cana-5221	7	51	revised	revise	VERB
cana-5221	7	52	:	:	PUNCT
cana-5221	7	53	15	15	NUM
cana-5221	7	54	-	-	NUM
cana-5221	7	55	02	02	NUM
cana-5221	7	56	-	-	PUNCT
cana-5221	7	57	2025	2025	NUM
cana-5221	7	58	accepted	accept	VERB
cana-5221	7	59	:	:	PUNCT
cana-5221	7	60	01	01	NUM
cana-5221	7	61	-	-	SYM
cana-5221	7	62	03	03	NUM
cana-5221	7	63	-	-	PUNCT
cana-5221	7	64	2025	2025	NUM
cana-5221	7	65	abstract	abstract	NOUN
cana-5221	7	66	:	:	PUNCT
cana-5221	7	67	the	the	DET
cana-5221	7	68	frequency	frequency	NOUN
cana-5221	7	69	and	and	CCONJ
cana-5221	7	70	diversity	diversity	NOUN
cana-5221	7	71	of	of	ADP
cana-5221	7	72	cyberattacks	cyberattack	NOUN
cana-5221	7	73	are	be	AUX
cana-5221	7	74	escalating	escalate	VERB
cana-5221	7	75	owing	owe	VERB
cana-5221	7	76	to	to	ADP
cana-5221	7	77	the	the	DET
cana-5221	7	78	ongoing	ongoing	ADJ
cana-5221	7	79	proliferation	proliferation	NOUN
cana-5221	7	80	of	of	ADP
cana-5221	7	81	the	the	DET
cana-5221	7	82	internet	internet	NOUN
cana-5221	7	83	;	;	PUNCT
cana-5221	7	84	ransom	ransom	NOUN
cana-5221	7	85	ware	ware	NOUN
cana-5221	7	86	incidents	incident	NOUN
cana-5221	7	87	are	be	AUX
cana-5221	7	88	rising	rise	VERB
cana-5221	7	89	,	,	PUNCT
cana-5221	7	90	%	%	NOUN
cana-5221	7	91	0	0	NUM
cana-5221	7	92	day	day	NOUN
cana-5221	7	93	vulnerabilities	vulnerability	NOUN
cana-5221	7	94	are	be	AUX
cana-5221	7	95	gaining	gain	VERB
cana-5221	7	96	substantial	substantial	ADJ
cana-5221	7	97	media	medium	NOUN
cana-5221	7	98	coverage	coverage	NOUN
cana-5221	7	99	.	.	PUNCT
cana-5221	8	1	a	a	DET
cana-5221	8	2	robust	robust	ADJ
cana-5221	8	3	network	network	NOUN
cana-5221	8	4	needs	need	VERB
cana-5221	8	5	numerous	numerous	ADJ
cana-5221	8	6	tiers	tier	NOUN
cana-5221	8	7	of	of	ADP
cana-5221	8	8	security	security	NOUN
cana-5221	8	9	measures	measure	NOUN
cana-5221	8	10	,	,	PUNCT
cana-5221	8	11	since	since	SCONJ
cana-5221	8	12	antivirus	antivirus	NOUN
cana-5221	8	13	software	software	NOUN
cana-5221	8	14	and	and	CCONJ
cana-5221	8	15	firewalls	firewall	NOUN
cana-5221	8	16	alone	alone	ADV
cana-5221	8	17	are	be	AUX
cana-5221	8	18	inadequate	inadequate	ADJ
cana-5221	8	19	.	.	PUNCT
cana-5221	9	1	an	an	DET
cana-5221	9	2	ids	ids	NOUN
cana-5221	9	3	is	be	AUX
cana-5221	9	4	a	a	DET
cana-5221	9	5	crucial	crucial	ADJ
cana-5221	9	6	layer	layer	NOUN
cana-5221	9	7	that	that	PRON
cana-5221	9	8	continuously	continuously	ADV
cana-5221	9	9	monitors	monitor	VERB
cana-5221	9	10	the	the	DET
cana-5221	9	11	system	system	NOUN
cana-5221	9	12	to	to	PART
cana-5221	9	13	protect	protect	VERB
cana-5221	9	14	its	its	PRON
cana-5221	9	15	target	target	NOUN
cana-5221	9	16	from	from	ADP
cana-5221	9	17	potential	potential	ADJ
cana-5221	9	18	attacks	attack	NOUN
cana-5221	9	19	.	.	PUNCT
cana-5221	10	1	the	the	DET
cana-5221	10	2	rapid	rapid	ADJ
cana-5221	10	3	expansion	expansion	NOUN
cana-5221	10	4	of	of	ADP
cana-5221	10	5	the	the	DET
cana-5221	10	6	internet	internet	NOUN
cana-5221	10	7	of	of	ADP
cana-5221	10	8	things	thing	NOUN
cana-5221	10	9	(	(	PUNCT
cana-5221	10	10	iot	iot	NOUN
cana-5221	10	11	)	)	PUNCT
cana-5221	10	12	has	have	AUX
cana-5221	10	13	yielded	yield	VERB
cana-5221	10	14	considerable	considerable	ADJ
cana-5221	10	15	advantages	advantage	NOUN
cana-5221	10	16	,	,	PUNCT
cana-5221	10	17	enabling	enable	VERB
cana-5221	10	18	improved	improved	ADJ
cana-5221	10	19	connection	connection	NOUN
cana-5221	10	20	and	and	CCONJ
cana-5221	10	21	automation	automation	NOUN
cana-5221	10	22	across	across	ADP
cana-5221	10	23	several	several	ADJ
cana-5221	10	24	industries	industry	NOUN
cana-5221	10	25	.	.	PUNCT
cana-5221	11	1	the	the	DET
cana-5221	11	2	proliferation	proliferation	NOUN
cana-5221	11	3	of	of	ADP
cana-5221	11	4	iot	iot	PROPN
cana-5221	11	5	devices	device	NOUN
cana-5221	11	6	has	have	AUX
cana-5221	11	7	rendered	render	VERB
cana-5221	11	8	them	they	PRON
cana-5221	11	9	more	more	ADV
cana-5221	11	10	susceptible	susceptible	ADJ
cana-5221	11	11	to	to	ADP
cana-5221	11	12	assaults	assault	NOUN
cana-5221	11	13	,	,	PUNCT
cana-5221	11	14	particularly	particularly	ADV
cana-5221	11	15	iot	iot	ADJ
cana-5221	11	16	botnet	botnet	NOUN
cana-5221	11	17	attacks	attack	NOUN
cana-5221	11	18	,	,	PUNCT
cana-5221	11	19	which	which	PRON
cana-5221	11	20	use	use	VERB
cana-5221	11	21	insecure	insecure	ADJ
cana-5221	11	22	devices	device	NOUN
cana-5221	11	23	to	to	PART
cana-5221	11	24	create	create	VERB
cana-5221	11	25	extensive	extensive	ADJ
cana-5221	11	26	disruptions	disruption	NOUN
cana-5221	11	27	.	.	PUNCT
cana-5221	12	1	this	this	DET
cana-5221	12	2	study	study	NOUN
cana-5221	12	3	introduces	introduce	VERB
cana-5221	12	4	a	a	DET
cana-5221	12	5	dual	dual	ADJ
cana-5221	12	6	machine	machine	NOUN
cana-5221	12	7	learning	learn	VERB
cana-5221	12	8	approach	approach	NOUN
cana-5221	12	9	aimed	aim	VERB
cana-5221	12	10	at	at	ADP
cana-5221	12	11	the	the	DET
cana-5221	12	12	prevention	prevention	NOUN
cana-5221	12	13	and	and	CCONJ
cana-5221	12	14	real	real	ADJ
cana-5221	12	15	-	-	PUNCT
cana-5221	12	16	time	time	NOUN
cana-5221	12	17	detection	detection	NOUN
cana-5221	12	18	of	of	ADP
cana-5221	12	19	iot	iot	PROPN
cana-5221	12	20	botnet	botnet	NOUN
cana-5221	12	21	assaults	assault	NOUN
cana-5221	12	22	.	.	PUNCT
cana-5221	13	1	during	during	ADP
cana-5221	13	2	the	the	DET
cana-5221	13	3	preventative	preventative	ADJ
cana-5221	13	4	phase	phase	NOUN
cana-5221	13	5	,	,	PUNCT
cana-5221	13	6	methods	method	NOUN
cana-5221	13	7	for	for	ADP
cana-5221	13	8	finding	find	VERB
cana-5221	13	9	anomalies	anomaly	NOUN
cana-5221	13	10	are	be	AUX
cana-5221	13	11	used	use	VERB
cana-5221	13	12	to	to	PART
cana-5221	13	13	look	look	VERB
cana-5221	13	14	for	for	ADP
cana-5221	13	15	strange	strange	ADJ
cana-5221	13	16	patterns	pattern	NOUN
cana-5221	13	17	in	in	ADP
cana-5221	13	18	network	network	NOUN
cana-5221	13	19	traffic	traffic	NOUN
cana-5221	13	20	that	that	PRON
cana-5221	13	21	could	could	AUX
cana-5221	13	22	mean	mean	VERB
cana-5221	13	23	there	there	PRON
cana-5221	13	24	is	be	VERB
cana-5221	13	25	an	an	DET
cana-5221	13	26	active	active	ADJ
cana-5221	13	27	botnet	botnet	NOUN
cana-5221	13	28	.	.	PUNCT
cana-5221	14	1	this	this	PRON
cana-5221	14	2	protects	protect	VERB
cana-5221	14	3	devices	device	NOUN
cana-5221	14	4	against	against	ADP
cana-5221	14	5	possible	possible	ADJ
cana-5221	14	6	threats	threat	NOUN
cana-5221	14	7	.	.	PUNCT
cana-5221	15	1	in	in	ADP
cana-5221	15	2	the	the	DET
cana-5221	15	3	detection	detection	NOUN
cana-5221	15	4	phase	phase	NOUN
cana-5221	15	5	,	,	PUNCT
cana-5221	15	6	classification	classification	NOUN
cana-5221	15	7	techniques	technique	NOUN
cana-5221	15	8	,	,	PUNCT
cana-5221	15	9	such	such	ADJ
cana-5221	15	10	as	as	ADP
cana-5221	15	11	machine	machine	NOUN
cana-5221	15	12	learning	learning	NOUN
cana-5221	15	13	,	,	PUNCT
cana-5221	15	14	analyze	analyze	VERB
cana-5221	15	15	real	real	ADJ
cana-5221	15	16	-	-	PUNCT
cana-5221	15	17	time	time	NOUN
cana-5221	15	18	data	datum	NOUN
cana-5221	15	19	to	to	PART
cana-5221	15	20	identify	identify	VERB
cana-5221	15	21	active	active	ADJ
cana-5221	15	22	botnet	botnet	NOUN
cana-5221	15	23	assaults	assault	NOUN
cana-5221	15	24	and	and	CCONJ
cana-5221	15	25	implement	implement	VERB
cana-5221	15	26	prompt	prompt	ADJ
cana-5221	15	27	countermeasures	countermeasure	NOUN
cana-5221	15	28	.	.	PUNCT
cana-5221	16	1	we	we	PRON
cana-5221	16	2	evaluated	evaluate	VERB
cana-5221	16	3	the	the	DET
cana-5221	16	4	proposed	propose	VERB
cana-5221	16	5	model	model	NOUN
cana-5221	16	6	with	with	ADP
cana-5221	16	7	benchmark	benchmark	NOUN
cana-5221	16	8	iot	iot	NOUN
cana-5221	16	9	botnet	botnet	NOUN
cana-5221	16	10	datasets	dataset	NOUN
cana-5221	16	11	and	and	CCONJ
cana-5221	16	12	found	find	VERB
cana-5221	16	13	it	it	PRON
cana-5221	16	14	to	to	PART
cana-5221	16	15	be	be	AUX
cana-5221	16	16	very	very	ADV
cana-5221	16	17	successful	successful	ADJ
cana-5221	16	18	in	in	ADP
cana-5221	16	19	detecting	detect	VERB
cana-5221	16	20	and	and	CCONJ
cana-5221	16	21	mitigating	mitigate	VERB
cana-5221	16	22	botnet	botnet	NOUN
cana-5221	16	23	attacks	attack	NOUN
cana-5221	16	24	.	.	PUNCT
cana-5221	17	1	our	our	PRON
cana-5221	17	2	research	research	NOUN
cana-5221	17	3	shows	show	VERB
cana-5221	17	4	that	that	SCONJ
cana-5221	17	5	using	use	VERB
cana-5221	17	6	a	a	DET
cana-5221	17	7	two	two	NUM
cana-5221	17	8	-	-	PUNCT
cana-5221	17	9	phase	phase	NOUN
cana-5221	17	10	machine	machine	NOUN
cana-5221	17	11	learning	learning	NOUN
cana-5221	17	12	method	method	NOUN
cana-5221	17	13	makes	make	VERB
cana-5221	17	14	iot	iot	ADJ
cana-5221	17	15	networks	network	NOUN
cana-5221	17	16	much	much	ADV
cana-5221	17	17	safer	safe	ADJ
cana-5221	17	18	by	by	ADP
cana-5221	17	19	constantly	constantly	ADV
cana-5221	17	20	watching	watch	VERB
cana-5221	17	21	them	they	PRON
cana-5221	17	22	and	and	CCONJ
cana-5221	17	23	changing	change	VERB
cana-5221	17	24	their	their	PRON
cana-5221	17	25	defenses	defense	NOUN
cana-5221	17	26	to	to	PART
cana-5221	17	27	deal	deal	VERB
cana-5221	17	28	with	with	ADP
cana-5221	17	29	new	new	ADJ
cana-5221	17	30	botnet	botnet	NOUN
cana-5221	17	31	threats	threat	NOUN
cana-5221	17	32	.	.	PUNCT
cana-5221	18	1	this	this	DET
cana-5221	18	2	study	study	NOUN
cana-5221	18	3	gives	give	VERB
cana-5221	18	4	us	we	PRON
cana-5221	18	5	important	important	ADJ
cana-5221	18	6	information	information	NOUN
cana-5221	18	7	for	for	ADP
cana-5221	18	8	making	make	VERB
cana-5221	18	9	iot	iot	ADJ
cana-5221	18	10	security	security	NOUN
cana-5221	18	11	solutions	solution	NOUN
cana-5221	18	12	that	that	PRON
cana-5221	18	13	are	be	AUX
cana-5221	18	14	strong	strong	ADJ
cana-5221	18	15	and	and	CCONJ
cana-5221	18	16	scalable	scalable	ADJ
cana-5221	18	17	so	so	SCONJ
cana-5221	18	18	that	that	SCONJ
cana-5221	18	19	we	we	PRON
cana-5221	18	20	can	can	AUX
cana-5221	18	21	protect	protect	VERB
cana-5221	18	22	important	important	ADJ
cana-5221	18	23	infrastructures	infrastructure	NOUN
cana-5221	18	24	from	from	ADP
cana-5221	18	25	the	the	DET
cana-5221	18	26	growing	grow	VERB
cana-5221	18	27	botnet	botnet	NOUN
cana-5221	18	28	threat	threat	NOUN
cana-5221	18	29	.	.	PUNCT
cana-5221	19	1	keywords	keyword	NOUN
cana-5221	19	2	:	:	PUNCT
cana-5221	19	3	ids	id	NOUN
cana-5221	19	4	,	,	PUNCT
cana-5221	19	5	nids	nid	NOUN
cana-5221	19	6	,	,	PUNCT
cana-5221	19	7	machine	machine	NOUN
cana-5221	19	8	learning	learning	NOUN
cana-5221	19	9	,	,	PUNCT
cana-5221	19	10	convolutional	convolutional	ADJ
cana-5221	19	11	neural	neural	ADJ
cana-5221	19	12	network	network	NOUN
cana-5221	19	13	,	,	PUNCT
cana-5221	19	14	deep	deep	ADJ
cana-5221	19	15	learning	learning	NOUN
cana-5221	19	16	.	.	PUNCT
cana-5221	20	1	i.	i.	PROPN
cana-5221	20	2	introduction	introduction	NOUN
cana-5221	20	3	the	the	DET
cana-5221	20	4	rapid	rapid	ADJ
cana-5221	20	5	expansion	expansion	NOUN
cana-5221	20	6	of	of	ADP
cana-5221	20	7	network	network	NOUN
cana-5221	20	8	usage	usage	NOUN
cana-5221	20	9	over	over	ADP
cana-5221	20	10	recent	recent	ADJ
cana-5221	20	11	decades	decade	NOUN
cana-5221	20	12	has	have	AUX
cana-5221	20	13	introduced	introduce	VERB
cana-5221	20	14	significant	significant	ADJ
cana-5221	20	15	security	security	NOUN
cana-5221	20	16	challenges	challenge	NOUN
cana-5221	20	17	for	for	ADP
cana-5221	20	18	the	the	DET
cana-5221	20	19	internet	internet	NOUN
cana-5221	20	20	and	and	CCONJ
cana-5221	20	21	computer	computer	NOUN
cana-5221	20	22	systems	system	NOUN
cana-5221	20	23	.	.	PUNCT
cana-5221	21	1	malicious	malicious	ADJ
cana-5221	21	2	intrusions	intrusion	NOUN
cana-5221	21	3	or	or	CCONJ
cana-5221	21	4	attacks	attack	NOUN
cana-5221	21	5	on	on	ADP
cana-5221	21	6	networks	network	NOUN
cana-5221	21	7	can	can	AUX
cana-5221	21	8	result	result	VERB
cana-5221	21	9	in	in	ADP
cana-5221	21	10	severe	severe	ADJ
cana-5221	21	11	consequences	consequence	NOUN
cana-5221	21	12	.	.	PUNCT
cana-5221	22	1	intrusions	intrusion	NOUN
cana-5221	22	2	are	be	AUX
cana-5221	22	3	harmful	harmful	ADJ
cana-5221	22	4	entities	entity	NOUN
cana-5221	22	5	responsible	responsible	ADJ
cana-5221	22	6	for	for	ADP
cana-5221	22	7	network	network	NOUN
cana-5221	22	8	attacks	attack	NOUN
cana-5221	22	9	that	that	SCONJ
cana-5221	22	10	communications	communication	NOUN
cana-5221	22	11	on	on	ADP
cana-5221	22	12	applied	apply	VERB
cana-5221	22	13	nonlinear	nonlinear	ADJ
cana-5221	22	14	analysis	analysis	NOUN
cana-5221	22	15	issn	issn	NOUN
cana-5221	22	16	:	:	PUNCT
cana-5221	22	17	1074	1074	NUM
cana-5221	22	18	-	-	PUNCT
cana-5221	22	19	133x	133x	NUM
cana-5221	22	20	vol	vol	VERB
cana-5221	22	21	32	32	NUM
cana-5221	22	22	no	no	NOUN
cana-5221	22	23	.	.	PUNCT
cana-5221	23	1	10s	10	NOUN
cana-5221	23	2	(	(	PUNCT
cana-5221	23	3	2025	2025	NUM
cana-5221	23	4	)	)	PUNCT
cana-5221	23	5	1211	1211	NUM
cana-5221	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	23	7	compromise	compromise	NOUN
cana-5221	23	8	system	system	NOUN
cana-5221	23	9	integrity	integrity	NOUN
cana-5221	23	10	,	,	PUNCT
cana-5221	23	11	confidentiality	confidentiality	NOUN
cana-5221	23	12	,	,	PUNCT
cana-5221	23	13	and	and	CCONJ
cana-5221	23	14	availability	availability	NOUN
cana-5221	23	15	.	.	PUNCT
cana-5221	24	1	in	in	ADP
cana-5221	24	2	such	such	ADJ
cana-5221	24	3	scenarios	scenario	NOUN
cana-5221	24	4	,	,	PUNCT
cana-5221	24	5	systems	system	NOUN
cana-5221	24	6	often	often	ADV
cana-5221	24	7	fail	fail	VERB
cana-5221	24	8	to	to	PART
cana-5221	24	9	respond	respond	VERB
cana-5221	24	10	effectively	effectively	ADV
cana-5221	24	11	to	to	ADP
cana-5221	24	12	data	data	NOUN
cana-5221	24	13	theft	theft	NOUN
cana-5221	24	14	or	or	CCONJ
cana-5221	24	15	loss	loss	NOUN
cana-5221	24	16	.	.	PUNCT
cana-5221	25	1	to	to	PART
cana-5221	25	2	address	address	VERB
cana-5221	25	3	this	this	PRON
cana-5221	25	4	,	,	PUNCT
cana-5221	25	5	intrusion	intrusion	NOUN
cana-5221	25	6	detection	detection	NOUN
cana-5221	25	7	systems	system	NOUN
cana-5221	25	8	(	(	PUNCT
cana-5221	25	9	idss	idss	ADV
cana-5221	25	10	)	)	PUNCT
cana-5221	25	11	are	be	AUX
cana-5221	25	12	vital	vital	ADJ
cana-5221	25	13	for	for	ADP
cana-5221	25	14	minimizing	minimize	VERB
cana-5221	25	15	the	the	DET
cana-5221	25	16	adverse	adverse	ADJ
cana-5221	25	17	effects	effect	NOUN
cana-5221	25	18	of	of	ADP
cana-5221	25	19	these	these	DET
cana-5221	25	20	attacks	attack	NOUN
cana-5221	25	21	.	.	PUNCT
cana-5221	26	1	an	an	DET
cana-5221	26	2	ids	ids	NOUN
cana-5221	26	3	is	be	AUX
cana-5221	26	4	a	a	DET
cana-5221	26	5	system	system	NOUN
cana-5221	26	6	or	or	CCONJ
cana-5221	26	7	software	software	NOUN
cana-5221	26	8	tool	tool	NOUN
cana-5221	26	9	designed	design	VERB
cana-5221	26	10	to	to	PART
cana-5221	26	11	identify	identify	VERB
cana-5221	26	12	unauthorized	unauthorized	ADJ
cana-5221	26	13	access	access	NOUN
cana-5221	26	14	to	to	ADP
cana-5221	26	15	networks	network	NOUN
cana-5221	26	16	or	or	CCONJ
cana-5221	26	17	computer	computer	NOUN
cana-5221	26	18	systems	system	NOUN
cana-5221	26	19	.	.	PUNCT
cana-5221	27	1	malicious	malicious	ADJ
cana-5221	27	2	exploits	exploit	NOUN
cana-5221	27	3	,	,	PUNCT
cana-5221	27	4	vulnerabilities	vulnerability	NOUN
cana-5221	27	5	,	,	PUNCT
cana-5221	27	6	data	data	NOUN
cana-5221	27	7	-	-	PUNCT
cana-5221	27	8	driven	drive	VERB
cana-5221	27	9	threats	threat	NOUN
cana-5221	27	10	,	,	PUNCT
cana-5221	27	11	and	and	CCONJ
cana-5221	27	12	host	host	NOUN
cana-5221	27	13	-	-	PUNCT
cana-5221	27	14	based	base	VERB
cana-5221	27	15	intrusions	intrusion	NOUN
cana-5221	27	16	like	like	ADP
cana-5221	27	17	privilege	privilege	NOUN
cana-5221	27	18	violations	violation	NOUN
cana-5221	27	19	,	,	PUNCT
cana-5221	27	20	sensitive	sensitive	ADJ
cana-5221	27	21	file	file	NOUN
cana-5221	27	22	access	access	NOUN
cana-5221	27	23	,	,	PUNCT
cana-5221	27	24	unauthorized	unauthorized	ADJ
cana-5221	27	25	logins	login	NOUN
cana-5221	27	26	,	,	PUNCT
cana-5221	27	27	and	and	CCONJ
cana-5221	27	28	malware	malware	NOUN
cana-5221	27	29	are	be	AUX
cana-5221	27	30	just	just	ADV
cana-5221	27	31	some	some	PRON
cana-5221	27	32	of	of	ADP
cana-5221	27	33	the	the	DET
cana-5221	27	34	types	type	NOUN
cana-5221	27	35	of	of	ADP
cana-5221	27	36	attacks	attack	NOUN
cana-5221	27	37	it	it	PRON
cana-5221	27	38	can	can	AUX
cana-5221	27	39	find	find	VERB
cana-5221	27	40	.	.	PUNCT
cana-5221	28	1	to	to	PART
cana-5221	28	2	safeguard	safeguard	VERB
cana-5221	28	3	iot	iot	NOUN
cana-5221	28	4	networks	network	NOUN
cana-5221	28	5	from	from	ADP
cana-5221	28	6	botnet	botnet	NOUN
cana-5221	28	7	attacks	attack	NOUN
cana-5221	28	8	,	,	PUNCT
cana-5221	28	9	we	we	PRON
cana-5221	28	10	propose	propose	VERB
cana-5221	28	11	a	a	DET
cana-5221	28	12	dual	dual	ADJ
cana-5221	28	13	-	-	PUNCT
cana-5221	28	14	phase	phase	NOUN
cana-5221	28	15	machine	machine	NOUN
cana-5221	28	16	learning	learning	NOUN
cana-5221	28	17	-	-	PUNCT
cana-5221	28	18	based	base	VERB
cana-5221	28	19	strategy	strategy	NOUN
cana-5221	28	20	comprising	comprising	NOUN
cana-5221	28	21	prevention	prevention	NOUN
cana-5221	28	22	and	and	CCONJ
cana-5221	28	23	detection	detection	NOUN
cana-5221	28	24	.	.	PUNCT
cana-5221	29	1	during	during	ADP
cana-5221	29	2	the	the	DET
cana-5221	29	3	prevention	prevention	NOUN
cana-5221	29	4	phase	phase	NOUN
cana-5221	29	5	,	,	PUNCT
cana-5221	29	6	algorithms	algorithm	NOUN
cana-5221	29	7	that	that	PRON
cana-5221	29	8	look	look	VERB
cana-5221	29	9	for	for	ADP
cana-5221	29	10	anomalies	anomaly	NOUN
cana-5221	29	11	find	find	VERB
cana-5221	29	12	strange	strange	ADJ
cana-5221	29	13	network	network	NOUN
cana-5221	29	14	traffic	traffic	NOUN
cana-5221	29	15	or	or	CCONJ
cana-5221	29	16	strange	strange	ADJ
cana-5221	29	17	device	device	NOUN
cana-5221	29	18	behavior	behavior	NOUN
cana-5221	29	19	that	that	PRON
cana-5221	29	20	could	could	AUX
cana-5221	29	21	be	be	AUX
cana-5221	29	22	signs	sign	NOUN
cana-5221	29	23	of	of	ADP
cana-5221	29	24	threats	threat	NOUN
cana-5221	29	25	.	.	PUNCT
cana-5221	30	1	this	this	DET
cana-5221	30	2	proactive	proactive	ADJ
cana-5221	30	3	approach	approach	NOUN
cana-5221	30	4	aims	aim	VERB
cana-5221	30	5	to	to	PART
cana-5221	30	6	reduce	reduce	VERB
cana-5221	30	7	vulnerabilities	vulnerability	NOUN
cana-5221	30	8	before	before	SCONJ
cana-5221	30	9	attacks	attack	NOUN
cana-5221	30	10	occur	occur	VERB
cana-5221	30	11	.	.	PUNCT
cana-5221	31	1	in	in	ADP
cana-5221	31	2	the	the	DET
cana-5221	31	3	detection	detection	NOUN
cana-5221	31	4	phase	phase	NOUN
cana-5221	31	5	,	,	PUNCT
cana-5221	31	6	machine	machine	NOUN
cana-5221	31	7	learning	learn	VERB
cana-5221	31	8	classification	classification	NOUN
cana-5221	31	9	algorithms	algorithm	NOUN
cana-5221	31	10	analyze	analyze	VERB
cana-5221	31	11	network	network	NOUN
cana-5221	31	12	activity	activity	NOUN
cana-5221	31	13	in	in	ADP
cana-5221	31	14	real	real	ADJ
cana-5221	31	15	time	time	NOUN
cana-5221	31	16	,	,	PUNCT
cana-5221	31	17	categorizing	categorize	VERB
cana-5221	31	18	it	it	PRON
cana-5221	31	19	as	as	ADP
cana-5221	31	20	either	either	CCONJ
cana-5221	31	21	benign	benign	ADJ
cana-5221	31	22	or	or	CCONJ
cana-5221	31	23	malicious	malicious	ADJ
cana-5221	31	24	.	.	PUNCT
cana-5221	32	1	this	this	DET
cana-5221	32	2	two	two	NUM
cana-5221	32	3	-	-	PUNCT
cana-5221	32	4	phase	phase	NOUN
cana-5221	32	5	model	model	NOUN
cana-5221	32	6	uses	use	VERB
cana-5221	32	7	the	the	DET
cana-5221	32	8	best	good	ADJ
cana-5221	32	9	features	feature	NOUN
cana-5221	32	10	of	of	ADP
cana-5221	32	11	both	both	DET
cana-5221	32	12	anomaly	anomaly	NOUN
cana-5221	32	13	detection	detection	NOUN
cana-5221	32	14	and	and	CCONJ
cana-5221	32	15	classification	classification	NOUN
cana-5221	32	16	techniques	technique	NOUN
cana-5221	32	17	to	to	PART
cana-5221	32	18	protect	protect	VERB
cana-5221	32	19	iot	iot	ADJ
cana-5221	32	20	systems	system	NOUN
cana-5221	32	21	in	in	ADP
cana-5221	32	22	a	a	DET
cana-5221	32	23	strong	strong	ADJ
cana-5221	32	24	and	and	CCONJ
cana-5221	32	25	complete	complete	ADJ
cana-5221	32	26	way	way	NOUN
cana-5221	32	27	.	.	PUNCT
cana-5221	33	1	ii	ii	PROPN
cana-5221	33	2	.	.	PUNCT
cana-5221	34	1	literature	literature	NOUN
cana-5221	34	2	survey	survey	NOUN
cana-5221	34	3	in	in	ADP
cana-5221	34	4	[	[	X
cana-5221	34	5	1	1	X
cana-5221	34	6	]	]	PUNCT
cana-5221	34	7	analyze	analyze	VERB
cana-5221	34	8	these	these	DET
cana-5221	34	9	datasets	dataset	NOUN
cana-5221	34	10	to	to	PART
cana-5221	34	11	showcase	showcase	VERB
cana-5221	34	12	the	the	DET
cana-5221	34	13	suggested	suggested	ADJ
cana-5221	34	14	model	model	NOUN
cana-5221	34	15	's	's	PART
cana-5221	34	16	capacity	capacity	NOUN
cana-5221	34	17	to	to	PART
cana-5221	34	18	accurately	accurately	ADV
cana-5221	34	19	detect	detect	VERB
cana-5221	34	20	and	and	CCONJ
cana-5221	34	21	classify	classify	VERB
cana-5221	34	22	harmful	harmful	ADJ
cana-5221	34	23	nodes	node	NOUN
cana-5221	34	24	.	.	PUNCT
cana-5221	35	1	the	the	DET
cana-5221	35	2	looks	look	NOUN
cana-5221	35	3	into	into	ADP
cana-5221	35	4	deep	deep	ADJ
cana-5221	35	5	learning	learning	NOUN
cana-5221	35	6	architecture	architecture	NOUN
cana-5221	35	7	for	for	ADP
cana-5221	35	8	finding	find	VERB
cana-5221	35	9	unauthorized	unauthorized	ADJ
cana-5221	35	10	access	access	NOUN
cana-5221	35	11	and	and	CCONJ
cana-5221	35	12	shows	show	VERB
cana-5221	35	13	how	how	SCONJ
cana-5221	35	14	well	well	ADV
cana-5221	35	15	the	the	DET
cana-5221	35	16	system	system	NOUN
cana-5221	35	17	model	model	NOUN
cana-5221	35	18	works	work	VERB
cana-5221	35	19	on	on	ADP
cana-5221	35	20	three	three	NUM
cana-5221	35	21	important	important	ADJ
cana-5221	35	22	datasets	dataset	NOUN
cana-5221	35	23	for	for	ADP
cana-5221	35	24	network	network	NOUN
cana-5221	35	25	attacks	attack	NOUN
cana-5221	35	26	.	.	PUNCT
cana-5221	36	1	the	the	DET
cana-5221	36	2	findings	finding	NOUN
cana-5221	36	3	showed	show	VERB
cana-5221	36	4	that	that	SCONJ
cana-5221	36	5	the	the	DET
cana-5221	36	6	model	model	NOUN
cana-5221	36	7	worked	work	VERB
cana-5221	36	8	well	well	ADV
cana-5221	36	9	with	with	ADP
cana-5221	36	10	the	the	DET
cana-5221	36	11	cse	cse	NOUN
cana-5221	36	12	-	-	PUNCT
cana-5221	36	13	cic	cic	PROPN
cana-5221	36	14	-	-	PUNCT
cana-5221	36	15	ids2018	ids2018	NOUN
cana-5221	36	16	,	,	PUNCT
cana-5221	36	17	newcastle	newcastle	PROPN
cana-5221	36	18	university	university	PROPN
cana-5221	36	19	,	,	PUNCT
cana-5221	36	20	and	and	CCONJ
cana-5221	36	21	nslkdd	nslkdd	ADJ
cana-5221	36	22	datasets	dataset	NOUN
cana-5221	36	23	.	.	PUNCT
cana-5221	37	1	we	we	PRON
cana-5221	37	2	also	also	ADV
cana-5221	37	3	looked	look	VERB
cana-5221	37	4	at	at	ADP
cana-5221	37	5	the	the	DET
cana-5221	37	6	outcomes	outcome	NOUN
cana-5221	37	7	for	for	ADP
cana-5221	37	8	nsl	nsl	PROPN
cana-5221	37	9	-	-	PUNCT
cana-5221	37	10	kdd	kdd	NOUN
cana-5221	37	11	,	,	PUNCT
cana-5221	37	12	unsw	unsw	NOUN
cana-5221	37	13	-	-	PUNCT
cana-5221	37	14	nb15	nb15	PROPN
cana-5221	37	15	,	,	PUNCT
cana-5221	37	16	&	&	CCONJ
cana-5221	37	17	cse	cse	PROPN
cana-5221	37	18	-	-	PUNCT
cana-5221	37	19	cic	cic	PROPN
cana-5221	37	20	-	-	PUNCT
cana-5221	37	21	ids2018	ids2018	NOUN
cana-5221	37	22	to	to	PART
cana-5221	37	23	see	see	VERB
cana-5221	37	24	how	how	SCONJ
cana-5221	37	25	well	well	ADV
cana-5221	37	26	the	the	DET
cana-5221	37	27	model	model	NOUN
cana-5221	37	28	worked	work	VERB
cana-5221	37	29	with	with	ADP
cana-5221	37	30	different	different	ADJ
cana-5221	37	31	datasets	dataset	NOUN
cana-5221	37	32	and	and	CCONJ
cana-5221	37	33	how	how	SCONJ
cana-5221	37	34	stable	stable	ADJ
cana-5221	37	35	it	it	PRON
cana-5221	37	36	was	be	AUX
cana-5221	37	37	in	in	ADP
cana-5221	37	38	general	general	ADJ
cana-5221	37	39	.	.	PUNCT
cana-5221	38	1	according	accord	VERB
cana-5221	38	2	to	to	ADP
cana-5221	38	3	[	[	X
cana-5221	38	4	2	2	X
cana-5221	38	5	]	]	PUNCT
cana-5221	38	6	they	they	PRON
cana-5221	38	7	contrast	contrast	VERB
cana-5221	38	8	both	both	PRON
cana-5221	38	9	machine	machine	NOUN
cana-5221	38	10	learning	learning	NOUN
cana-5221	38	11	and	and	CCONJ
cana-5221	38	12	deep	deep	ADJ
cana-5221	38	13	learning	learning	NOUN
cana-5221	38	14	models	model	NOUN
cana-5221	38	15	for	for	ADP
cana-5221	38	16	detecting	detect	VERB
cana-5221	38	17	network	network	NOUN
cana-5221	38	18	intrusions	intrusion	NOUN
cana-5221	38	19	based	base	VERB
cana-5221	38	20	on	on	ADP
cana-5221	38	21	anomalies	anomaly	NOUN
cana-5221	38	22	.	.	PUNCT
cana-5221	39	1	it	it	PRON
cana-5221	39	2	starts	start	VERB
cana-5221	39	3	by	by	ADP
cana-5221	39	4	looking	look	VERB
cana-5221	39	5	at	at	ADP
cana-5221	39	6	past	past	ADJ
cana-5221	39	7	work	work	NOUN
cana-5221	39	8	on	on	ADP
cana-5221	39	9	ml	ml	NOUN
cana-5221	39	10	and	and	CCONJ
cana-5221	39	11	dl	dl	PROPN
cana-5221	39	12	intrusion	intrusion	NOUN
cana-5221	39	13	detection	detection	NOUN
cana-5221	39	14	systems	system	NOUN
cana-5221	39	15	(	(	PUNCT
cana-5221	39	16	ids	id	NOUN
cana-5221	39	17	)	)	PUNCT
cana-5221	39	18	.	.	PUNCT
cana-5221	40	1	next	next	ADV
cana-5221	40	2	,	,	PUNCT
cana-5221	40	3	it	it	PRON
cana-5221	40	4	examines	examine	VERB
cana-5221	40	5	the	the	DET
cana-5221	40	6	datasets	dataset	NOUN
cana-5221	40	7	utilized	utilize	VERB
cana-5221	40	8	in	in	ADP
cana-5221	40	9	those	those	DET
cana-5221	40	10	previous	previous	ADJ
cana-5221	40	11	studies	study	NOUN
cana-5221	40	12	.	.	PUNCT
cana-5221	41	1	additionally	additionally	ADV
cana-5221	41	2	,	,	PUNCT
cana-5221	41	3	we	we	PRON
cana-5221	41	4	tested	test	VERB
cana-5221	41	5	ml	ml	X
cana-5221	41	6	and	and	CCONJ
cana-5221	41	7	dl	dl	PROPN
cana-5221	41	8	models	model	NOUN
cana-5221	41	9	using	use	VERB
cana-5221	41	10	the	the	DET
cana-5221	41	11	kdd-99	kdd-99	NOUN
cana-5221	41	12	dataset	dataset	ADJ
cana-5221	41	13	,	,	PUNCT
cana-5221	41	14	presenting	presenting	NOUN
cana-5221	41	15	,	,	PUNCT
cana-5221	41	16	analyzing	analyzing	NOUN
cana-5221	41	17	,	,	PUNCT
cana-5221	41	18	and	and	CCONJ
cana-5221	41	19	discussing	discuss	VERB
cana-5221	41	20	their	their	PRON
cana-5221	41	21	performance	performance	NOUN
cana-5221	41	22	results	result	NOUN
cana-5221	41	23	.	.	PUNCT
cana-5221	42	1	the	the	DET
cana-5221	42	2	paper	paper	NOUN
cana-5221	42	3	concludes	conclude	VERB
cana-5221	42	4	by	by	ADP
cana-5221	42	5	highlighting	highlight	VERB
cana-5221	42	6	critical	critical	ADJ
cana-5221	42	7	areas	area	NOUN
cana-5221	42	8	for	for	ADP
cana-5221	42	9	future	future	ADJ
cana-5221	42	10	research	research	NOUN
cana-5221	42	11	and	and	CCONJ
cana-5221	42	12	exploration	exploration	NOUN
cana-5221	42	13	.	.	PUNCT
cana-5221	43	1	according	accord	VERB
cana-5221	43	2	to	to	ADP
cana-5221	43	3	[	[	X
cana-5221	43	4	3	3	X
cana-5221	43	5	]	]	X
cana-5221	43	6	an	an	DET
cana-5221	43	7	in	in	ADP
cana-5221	43	8	-	-	PUNCT
cana-5221	43	9	deep	deep	ADJ
cana-5221	43	10	learning	learning	NOUN
cana-5221	43	11	-	-	PUNCT
cana-5221	43	12	based	base	VERB
cana-5221	43	13	intrusion	intrusion	NOUN
cana-5221	43	14	detection	detection	NOUN
cana-5221	43	15	system	system	NOUN
cana-5221	43	16	.	.	PUNCT
cana-5221	44	1	the	the	DET
cana-5221	44	2	system	system	NOUN
cana-5221	44	3	has	have	VERB
cana-5221	44	4	the	the	DET
cana-5221	44	5	ability	ability	NOUN
cana-5221	44	6	to	to	PART
cana-5221	44	7	withstand	withstand	VERB
cana-5221	44	8	adverse	adverse	ADJ
cana-5221	44	9	attacks	attack	NOUN
cana-5221	44	10	.	.	PUNCT
cana-5221	45	1	the	the	DET
cana-5221	45	2	system	system	NOUN
cana-5221	45	3	uses	use	VERB
cana-5221	45	4	the	the	DET
cana-5221	45	5	maximum	maximum	ADJ
cana-5221	45	6	method	method	NOUN
cana-5221	45	7	to	to	PART
cana-5221	45	8	produce	produce	VERB
cana-5221	45	9	adversarial	adversarial	ADJ
cana-5221	45	10	examples	example	NOUN
cana-5221	45	11	that	that	PRON
cana-5221	45	12	generate	generate	VERB
cana-5221	45	13	high	high	ADJ
cana-5221	45	14	loss	loss	NOUN
cana-5221	45	15	and	and	CCONJ
cana-5221	45	16	attack	attack	NOUN
cana-5221	45	17	deep	deep	ADJ
cana-5221	45	18	neural	neural	ADJ
cana-5221	45	19	networks	network	NOUN
cana-5221	45	20	.	.	PUNCT
cana-5221	46	1	a	a	DET
cana-5221	46	2	design	design	NOUN
cana-5221	46	3	investigates	investigate	VERB
cana-5221	46	4	and	and	CCONJ
cana-5221	46	5	assesses	assess	VERB
cana-5221	46	6	the	the	DET
cana-5221	46	7	effectiveness	effectiveness	NOUN
cana-5221	46	8	of	of	ADP
cana-5221	46	9	harmful	harmful	ADJ
cana-5221	46	10	attack	attack	NOUN
cana-5221	46	11	methods	method	NOUN
cana-5221	46	12	and	and	CCONJ
cana-5221	46	13	the	the	DET
cana-5221	46	14	resistance	resistance	NOUN
cana-5221	46	15	of	of	ADP
cana-5221	46	16	combatively	combatively	ADV
cana-5221	46	17	trained	train	VERB
cana-5221	46	18	models	model	NOUN
cana-5221	46	19	to	to	ADP
cana-5221	46	20	such	such	ADJ
cana-5221	46	21	attacks	attack	NOUN
cana-5221	46	22	.	.	PUNCT
cana-5221	47	1	the	the	DET
cana-5221	47	2	system	system	NOUN
cana-5221	47	3	suggests	suggest	VERB
cana-5221	47	4	that	that	SCONJ
cana-5221	47	5	we	we	PRON
cana-5221	47	6	can	can	AUX
cana-5221	47	7	use	use	VERB
cana-5221	47	8	adversarial	adversarial	ADJ
cana-5221	47	9	attack	attack	NOUN
cana-5221	47	10	methods	method	NOUN
cana-5221	47	11	created	create	VERB
cana-5221	47	12	for	for	ADP
cana-5221	47	13	binary	binary	ADJ
cana-5221	47	14	domains	domain	NOUN
cana-5221	47	15	in	in	ADP
cana-5221	47	16	continuous	continuous	ADJ
cana-5221	47	17	environments	environment	NOUN
cana-5221	47	18	,	,	PUNCT
cana-5221	47	19	which	which	PRON
cana-5221	47	20	could	could	AUX
cana-5221	47	21	lead	lead	VERB
cana-5221	47	22	to	to	ADP
cana-5221	47	23	different	different	ADJ
cana-5221	47	24	levels	level	NOUN
cana-5221	47	25	of	of	ADP
cana-5221	47	26	misclassification	misclassification	NOUN
cana-5221	47	27	.	.	PUNCT
cana-5221	48	1	according	accord	VERB
cana-5221	48	2	to	to	ADP
cana-5221	48	3	[	[	X
cana-5221	48	4	4	4	X
cana-5221	48	5	]	]	PUNCT
cana-5221	48	6	a	a	DET
cana-5221	48	7	thorough	thorough	ADJ
cana-5221	48	8	experimental	experimental	ADJ
cana-5221	48	9	research	research	NOUN
cana-5221	48	10	based	base	VERB
cana-5221	48	11	on	on	ADP
cana-5221	48	12	different	different	ADJ
cana-5221	48	13	binary	binary	NOUN
cana-5221	48	14	is	be	AUX
cana-5221	48	15	given	give	VERB
cana-5221	48	16	to	to	PART
cana-5221	48	17	improve	improve	VERB
cana-5221	48	18	detection	detection	NOUN
cana-5221	48	19	frequency	frequency	NOUN
cana-5221	48	20	and	and	CCONJ
cana-5221	48	21	reduce	reduce	VERB
cana-5221	48	22	the	the	DET
cana-5221	48	23	error	error	NOUN
cana-5221	48	24	.	.	PUNCT
cana-5221	49	1	furthermore	furthermore	ADV
cana-5221	49	2	,	,	PUNCT
cana-5221	49	3	numerous	numerous	ADJ
cana-5221	49	4	studies	study	NOUN
cana-5221	49	5	of	of	ADP
cana-5221	49	6	intrusion	intrusion	NOUN
cana-5221	49	7	detection	detection	NOUN
cana-5221	49	8	systems	system	NOUN
cana-5221	49	9	have	have	AUX
cana-5221	49	10	been	be	AUX
cana-5221	49	11	conducted	conduct	VERB
cana-5221	49	12	using	use	VERB
cana-5221	49	13	old	old	ADJ
cana-5221	49	14	datasets	dataset	NOUN
cana-5221	49	15	such	such	ADJ
cana-5221	49	16	as	as	ADP
cana-5221	49	17	the	the	DET
cana-5221	49	18	kddcup'99	kddcup'99	PROPN
cana-5221	49	19	dataset	dataset	NOUN
cana-5221	49	20	.	.	PUNCT
cana-5221	50	1	because	because	SCONJ
cana-5221	50	2	older	old	ADJ
cana-5221	50	3	datasets	dataset	NOUN
cana-5221	50	4	did	do	AUX
cana-5221	50	5	n't	not	PART
cana-5221	50	6	reflect	reflect	VERB
cana-5221	50	7	how	how	SCONJ
cana-5221	50	8	attacks	attack	NOUN
cana-5221	50	9	are	be	AUX
cana-5221	50	10	done	do	VERB
cana-5221	50	11	now	now	ADV
cana-5221	50	12	,	,	PUNCT
cana-5221	50	13	most	most	ADJ
cana-5221	50	14	models	model	NOUN
cana-5221	50	15	were	be	AUX
cana-5221	50	16	n't	not	PART
cana-5221	50	17	able	able	ADJ
cana-5221	50	18	to	to	PART
cana-5221	50	19	find	find	VERB
cana-5221	50	20	modern	modern	ADJ
cana-5221	50	21	intrusions	intrusion	NOUN
cana-5221	50	22	as	as	ADV
cana-5221	50	23	accurately	accurately	ADV
cana-5221	50	24	as	as	SCONJ
cana-5221	50	25	they	they	PRON
cana-5221	50	26	could	could	AUX
cana-5221	50	27	have	have	VERB
cana-5221	50	28	.	.	PUNCT
cana-5221	51	1	the	the	DET
cana-5221	51	2	goal	goal	NOUN
cana-5221	51	3	of	of	ADP
cana-5221	51	4	this	this	DET
cana-5221	51	5	project	project	NOUN
cana-5221	51	6	is	be	AUX
cana-5221	51	7	to	to	PART
cana-5221	51	8	create	create	VERB
cana-5221	51	9	a	a	DET
cana-5221	51	10	hybrid	hybrid	ADJ
cana-5221	51	11	anomaly	anomaly	NOUN
cana-5221	51	12	-	-	PUNCT
cana-5221	51	13	based	base	VERB
cana-5221	51	14	intrusion	intrusion	NOUN
cana-5221	51	15	detection	detection	NOUN
cana-5221	51	16	system	system	NOUN
cana-5221	51	17	(	(	PUNCT
cana-5221	51	18	ids	id	NOUN
cana-5221	51	19	)	)	PUNCT
cana-5221	51	20	that	that	PRON
cana-5221	51	21	uses	use	VERB
cana-5221	51	22	the	the	DET
cana-5221	51	23	newest	new	ADJ
cana-5221	51	24	dataset	dataset	NOUN
cana-5221	51	25	,	,	PUNCT
cana-5221	51	26	"	"	PUNCT
cana-5221	51	27	cicids2017	cicids2017	PROPN
cana-5221	51	28	,	,	PUNCT
cana-5221	51	29	"	"	PUNCT
cana-5221	51	30	to	to	PART
cana-5221	51	31	test	test	VERB
cana-5221	51	32	intrusion	intrusion	NOUN
cana-5221	51	33	detection	detection	NOUN
cana-5221	51	34	and	and	CCONJ
cana-5221	51	35	either	either	CCONJ
cana-5221	51	36	deep	deep	ADJ
cana-5221	51	37	learning	learning	NOUN
cana-5221	51	38	(	(	PUNCT
cana-5221	51	39	dl	dl	NOUN
cana-5221	51	40	)	)	PUNCT
cana-5221	51	41	or	or	CCONJ
cana-5221	51	42	binary	binary	ADJ
cana-5221	51	43	algorithms	algorithm	NOUN
cana-5221	51	44	(	(	PUNCT
cana-5221	51	45	ba	ba	NOUN
cana-5221	51	46	)	)	PUNCT
cana-5221	51	47	as	as	ADP
cana-5221	51	48	optimizers	optimizer	NOUN
cana-5221	51	49	.	.	PUNCT
cana-5221	52	1	cost	cost	NOUN
cana-5221	52	2	error	error	NOUN
cana-5221	52	3	,	,	PUNCT
cana-5221	52	4	confusion	confusion	NOUN
cana-5221	52	5	matrix	matrix	NOUN
cana-5221	52	6	,	,	PUNCT
cana-5221	52	7	sensitivity	sensitivity	NOUN
cana-5221	52	8	,	,	PUNCT
cana-5221	52	9	specificity	specificity	NOUN
cana-5221	52	10	,	,	PUNCT
cana-5221	52	11	recall	recall	NOUN
cana-5221	52	12	,	,	PUNCT
cana-5221	52	13	and	and	CCONJ
cana-5221	52	14	accuracy	accuracy	NOUN
cana-5221	52	15	are	be	AUX
cana-5221	52	16	some	some	PRON
cana-5221	52	17	of	of	ADP
cana-5221	52	18	the	the	DET
cana-5221	52	19	key	key	ADJ
cana-5221	52	20	outcomes	outcome	NOUN
cana-5221	52	21	that	that	SCONJ
cana-5221	52	22	the	the	DET
cana-5221	52	23	dnn	dnn	PROPN
cana-5221	52	24	and	and	CCONJ
cana-5221	52	25	its	its	PRON
cana-5221	52	26	hybrid	hybrid	ADJ
cana-5221	52	27	implementation	implementation	NOUN
cana-5221	52	28	have	have	AUX
cana-5221	52	29	been	be	AUX
cana-5221	52	30	looked	look	VERB
cana-5221	52	31	at	at	ADP
cana-5221	52	32	and	and	CCONJ
cana-5221	52	33	tested	test	VERB
cana-5221	52	34	.	.	PUNCT
cana-5221	53	1	communications	communication	NOUN
cana-5221	53	2	on	on	ADP
cana-5221	53	3	applied	apply	VERB
cana-5221	53	4	nonlinear	nonlinear	ADJ
cana-5221	53	5	analysis	analysis	NOUN
cana-5221	53	6	issn	issn	NOUN
cana-5221	53	7	:	:	PUNCT
cana-5221	53	8	1074	1074	NUM
cana-5221	53	9	-	-	PUNCT
cana-5221	53	10	133x	133x	NUM
cana-5221	53	11	vol	vol	VERB
cana-5221	53	12	32	32	NUM
cana-5221	53	13	no	no	NOUN
cana-5221	53	14	.	.	PUNCT
cana-5221	54	1	10s	10	NOUN
cana-5221	54	2	(	(	PUNCT
cana-5221	54	3	2025	2025	NUM
cana-5221	54	4	)	)	PUNCT
cana-5221	54	5	1212	1212	NUM
cana-5221	54	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	54	7	according	accord	VERB
cana-5221	54	8	to	to	ADP
cana-5221	54	9	[	[	X
cana-5221	54	10	5	5	NUM
cana-5221	54	11	]	]	PUNCT
cana-5221	54	12	present	present	VERB
cana-5221	54	13	a	a	DET
cana-5221	54	14	new	new	ADJ
cana-5221	54	15	architecture	architecture	NOUN
cana-5221	54	16	for	for	ADP
cana-5221	54	17	deep	deep	ADJ
cana-5221	54	18	neural	neural	ADJ
cana-5221	54	19	networks	network	NOUN
cana-5221	54	20	to	to	PART
cana-5221	54	21	develop	develop	VERB
cana-5221	54	22	adaptable	adaptable	ADJ
cana-5221	54	23	and	and	CCONJ
cana-5221	54	24	efficient	efficient	ADJ
cana-5221	54	25	intrusion	intrusion	NOUN
cana-5221	54	26	detection	detection	NOUN
cana-5221	54	27	models	model	NOUN
cana-5221	54	28	.	.	PUNCT
cana-5221	55	1	this	this	DET
cana-5221	55	2	method	method	NOUN
cana-5221	55	3	has	have	VERB
cana-5221	55	4	two	two	NUM
cana-5221	55	5	parts	part	NOUN
cana-5221	55	6	:	:	PUNCT
cana-5221	55	7	an	an	DET
cana-5221	55	8	unsupervised	unsupervised	ADJ
cana-5221	55	9	phase	phase	NOUN
cana-5221	55	10	for	for	ADP
cana-5221	55	11	extracting	extract	VERB
cana-5221	55	12	features	feature	NOUN
cana-5221	55	13	from	from	ADP
cana-5221	55	14	multiple	multiple	ADJ
cana-5221	55	15	channels	channel	NOUN
cana-5221	55	16	,	,	PUNCT
cana-5221	55	17	and	and	CCONJ
cana-5221	55	18	a	a	DET
cana-5221	55	19	supervised	supervised	ADJ
cana-5221	55	20	phase	phase	NOUN
cana-5221	55	21	for	for	ADP
cana-5221	55	22	looking	look	VERB
cana-5221	55	23	at	at	ADP
cana-5221	55	24	how	how	SCONJ
cana-5221	55	25	those	those	DET
cana-5221	55	26	features	feature	NOUN
cana-5221	55	27	relate	relate	VERB
cana-5221	55	28	to	to	ADP
cana-5221	55	29	each	each	DET
cana-5221	55	30	other	other	ADJ
cana-5221	55	31	across	across	ADP
cana-5221	55	32	channels	channel	NOUN
cana-5221	55	33	.	.	PUNCT
cana-5221	56	1	this	this	DET
cana-5221	56	2	test	test	NOUN
cana-5221	56	3	's	's	PART
cana-5221	56	4	goal	goal	NOUN
cana-5221	56	5	is	be	AUX
cana-5221	56	6	to	to	PART
cana-5221	56	7	see	see	VERB
cana-5221	56	8	if	if	SCONJ
cana-5221	56	9	class	class	NOUN
cana-5221	56	10	-	-	PUNCT
cana-5221	56	11	specific	specific	ADJ
cana-5221	56	12	network	network	NOUN
cana-5221	56	13	flow	flow	NOUN
cana-5221	56	14	characteristics	characteristic	NOUN
cana-5221	56	15	can	can	AUX
cana-5221	56	16	be	be	AUX
cana-5221	56	17	added	add	VERB
cana-5221	56	18	to	to	ADP
cana-5221	56	19	basic	basic	ADJ
cana-5221	56	20	features	feature	NOUN
cana-5221	56	21	to	to	PART
cana-5221	56	22	make	make	VERB
cana-5221	56	23	the	the	DET
cana-5221	56	24	model	model	NOUN
cana-5221	56	25	more	more	ADV
cana-5221	56	26	accurate	accurate	ADJ
cana-5221	56	27	.	.	PUNCT
cana-5221	57	1	each	each	DET
cana-5221	57	2	day	day	NOUN
cana-5221	57	3	,	,	PUNCT
cana-5221	57	4	we	we	PRON
cana-5221	57	5	train	train	VERB
cana-5221	57	6	two	two	NUM
cana-5221	57	7	autoencoders	autoencoder	NOUN
cana-5221	57	8	separately	separately	ADV
cana-5221	57	9	and	and	CCONJ
cana-5221	57	10	execute	execute	VERB
cana-5221	57	11	attacks	attack	NOUN
cana-5221	57	12	on	on	ADP
cana-5221	57	13	the	the	DET
cana-5221	57	14	flows	flow	NOUN
cana-5221	57	15	during	during	ADP
cana-5221	57	16	the	the	DET
cana-5221	57	17	unsupervised	unsupervised	ADJ
cana-5221	57	18	phase	phase	NOUN
cana-5221	57	19	.	.	PUNCT
cana-5221	58	1	this	this	PRON
cana-5221	58	2	makes	make	VERB
cana-5221	58	3	it	it	PRON
cana-5221	58	4	easier	easy	ADJ
cana-5221	58	5	to	to	PART
cana-5221	58	6	make	make	VERB
cana-5221	58	7	two	two	NUM
cana-5221	58	8	extra	extra	ADJ
cana-5221	58	9	feature	feature	NOUN
cana-5221	58	10	vectors	vector	NOUN
cana-5221	58	11	that	that	PRON
cana-5221	58	12	turn	turn	VERB
cana-5221	58	13	each	each	DET
cana-5221	58	14	network	network	NOUN
cana-5221	58	15	flow	flow	VERB
cana-5221	58	16	into	into	ADP
cana-5221	58	17	a	a	DET
cana-5221	58	18	multi	multi	ADJ
cana-5221	58	19	-	-	ADJ
cana-5221	58	20	channel	channel	ADJ
cana-5221	58	21	sample	sample	NOUN
cana-5221	58	22	.	.	PUNCT
cana-5221	59	1	the	the	DET
cana-5221	59	2	suggested	suggest	VERB
cana-5221	59	3	neural	neural	ADJ
cana-5221	59	4	network	network	NOUN
cana-5221	59	5	architecture	architecture	NOUN
cana-5221	59	6	surpasses	surpass	VERB
cana-5221	59	7	current	current	ADJ
cana-5221	59	8	intrusion	intrusion	NOUN
cana-5221	59	9	detection	detection	NOUN
cana-5221	59	10	frameworks	framework	NOUN
cana-5221	59	11	regarding	regard	VERB
cana-5221	59	12	prediction	prediction	NOUN
cana-5221	59	13	accuracy	accuracy	NOUN
cana-5221	59	14	when	when	SCONJ
cana-5221	59	15	assessed	assess	VERB
cana-5221	59	16	on	on	ADP
cana-5221	59	17	three	three	NUM
cana-5221	59	18	benchmark	benchmark	ADJ
cana-5221	59	19	datasets	dataset	NOUN
cana-5221	59	20	.	.	PUNCT
cana-5221	60	1	according	accord	VERB
cana-5221	60	2	to	to	ADP
cana-5221	60	3	[	[	X
cana-5221	60	4	6	6	NUM
cana-5221	60	5	]	]	PUNCT
cana-5221	60	6	multiple	multiple	ADJ
cana-5221	60	7	sensor	sensor	NOUN
cana-5221	60	8	nodes	node	NOUN
cana-5221	60	9	,	,	PUNCT
cana-5221	60	10	randomly	randomly	ADV
cana-5221	60	11	dispersed	disperse	VERB
cana-5221	60	12	throughout	throughout	ADP
cana-5221	60	13	specified	specified	ADJ
cana-5221	60	14	regions	region	NOUN
cana-5221	60	15	for	for	ADP
cana-5221	60	16	data	data	NOUN
cana-5221	60	17	collection	collection	NOUN
cana-5221	60	18	,	,	PUNCT
cana-5221	60	19	comprise	comprise	VERB
cana-5221	60	20	wireless	wireless	ADJ
cana-5221	60	21	sensor	sensor	NOUN
cana-5221	60	22	networks	network	NOUN
cana-5221	60	23	(	(	PUNCT
cana-5221	60	24	wsns	wsns	NOUN
cana-5221	60	25	)	)	PUNCT
cana-5221	60	26	.	.	PUNCT
cana-5221	61	1	given	give	VERB
cana-5221	61	2	their	their	PRON
cana-5221	61	3	location	location	NOUN
cana-5221	61	4	in	in	ADP
cana-5221	61	5	exposed	expose	VERB
cana-5221	61	6	and	and	CCONJ
cana-5221	61	7	rough	rough	ADJ
cana-5221	61	8	areas	area	NOUN
cana-5221	61	9	,	,	PUNCT
cana-5221	61	10	these	these	DET
cana-5221	61	11	nodes	node	NOUN
cana-5221	61	12	are	be	AUX
cana-5221	61	13	particularly	particularly	ADV
cana-5221	61	14	susceptible	susceptible	ADJ
cana-5221	61	15	to	to	ADP
cana-5221	61	16	assaults	assault	NOUN
cana-5221	61	17	,	,	PUNCT
cana-5221	61	18	underscoring	underscore	VERB
cana-5221	61	19	the	the	DET
cana-5221	61	20	need	need	NOUN
cana-5221	61	21	for	for	ADP
cana-5221	61	22	a	a	DET
cana-5221	61	23	powerful	powerful	ADJ
cana-5221	61	24	intrusion	intrusion	NOUN
cana-5221	61	25	detection	detection	NOUN
cana-5221	61	26	system	system	NOUN
cana-5221	61	27	(	(	PUNCT
cana-5221	61	28	ids	id	NOUN
cana-5221	61	29	)	)	PUNCT
cana-5221	61	30	.	.	PUNCT
cana-5221	62	1	machine	machine	NOUN
cana-5221	62	2	learning	learning	NOUN
cana-5221	62	3	(	(	PUNCT
cana-5221	62	4	ml	ml	NOUN
cana-5221	62	5	)	)	PUNCT
cana-5221	62	6	techniques	technique	NOUN
cana-5221	62	7	have	have	AUX
cana-5221	62	8	become	become	VERB
cana-5221	62	9	more	more	ADV
cana-5221	62	10	important	important	ADJ
cana-5221	62	11	in	in	ADP
cana-5221	62	12	improving	improve	VERB
cana-5221	62	13	intrusion	intrusion	NOUN
cana-5221	62	14	detection	detection	NOUN
cana-5221	62	15	system	system	NOUN
cana-5221	62	16	(	(	PUNCT
cana-5221	62	17	ids	id	NOUN
cana-5221	62	18	)	)	PUNCT
cana-5221	62	19	solutions	solution	NOUN
cana-5221	62	20	,	,	PUNCT
cana-5221	62	21	especially	especially	ADV
cana-5221	62	22	for	for	ADP
cana-5221	62	23	wireless	wireless	ADJ
cana-5221	62	24	sensor	sensor	NOUN
cana-5221	62	25	networks	network	NOUN
cana-5221	62	26	(	(	PUNCT
cana-5221	62	27	wsns	wsns	NOUN
cana-5221	62	28	)	)	PUNCT
cana-5221	62	29	that	that	PRON
cana-5221	62	30	use	use	VERB
cana-5221	62	31	less	less	ADJ
cana-5221	62	32	energy	energy	NOUN
cana-5221	62	33	.	.	PUNCT
cana-5221	63	1	when	when	SCONJ
cana-5221	63	2	the	the	DET
cana-5221	63	3	dragonfly	dragonfly	NOUN
cana-5221	63	4	algorithm	algorithm	NOUN
cana-5221	63	5	(	(	PUNCT
cana-5221	63	6	da	da	NOUN
cana-5221	63	7	)	)	PUNCT
cana-5221	63	8	is	be	AUX
cana-5221	63	9	used	use	VERB
cana-5221	63	10	to	to	PART
cana-5221	63	11	make	make	VERB
cana-5221	63	12	the	the	DET
cana-5221	63	13	optimal	optimal	ADJ
cana-5221	63	14	multilayer	multilayer	ADJ
cana-5221	63	15	perceptron	perceptron	NOUN
cana-5221	63	16	(	(	PUNCT
cana-5221	63	17	omlp	omlp	ADJ
cana-5221	63	18	)	)	PUNCT
cana-5221	63	19	model	model	NOUN
cana-5221	63	20	work	work	NOUN
cana-5221	63	21	better	well	ADV
cana-5221	63	22	,	,	PUNCT
cana-5221	63	23	it	it	PRON
cana-5221	63	24	can	can	AUX
cana-5221	63	25	find	find	VERB
cana-5221	63	26	intrusions	intrusion	NOUN
cana-5221	63	27	in	in	ADP
cana-5221	63	28	wireless	wireless	ADJ
cana-5221	63	29	sensor	sensor	NOUN
cana-5221	63	30	networks	network	NOUN
cana-5221	63	31	(	(	PUNCT
cana-5221	63	32	wsns	wsns	PROPN
cana-5221	63	33	)	)	PUNCT
cana-5221	63	34	.	.	PUNCT
cana-5221	64	1	the	the	DET
cana-5221	64	2	primary	primary	ADJ
cana-5221	64	3	objective	objective	NOUN
cana-5221	64	4	of	of	ADP
cana-5221	64	5	the	the	DET
cana-5221	64	6	omlp	omlp	ADJ
cana-5221	64	7	model	model	NOUN
cana-5221	64	8	is	be	AUX
cana-5221	64	9	to	to	PART
cana-5221	64	10	detect	detect	VERB
cana-5221	64	11	possible	possible	ADJ
cana-5221	64	12	intrusions	intrusion	NOUN
cana-5221	64	13	and	and	CCONJ
cana-5221	64	14	precisely	precisely	ADV
cana-5221	64	15	categorize	categorize	VERB
cana-5221	64	16	their	their	PRON
cana-5221	64	17	characteristics	characteristic	NOUN
cana-5221	64	18	.	.	PUNCT
cana-5221	65	1	this	this	DET
cana-5221	65	2	technique	technique	NOUN
cana-5221	65	3	enables	enable	VERB
cana-5221	65	4	the	the	DET
cana-5221	65	5	da	da	NOUN
cana-5221	65	6	to	to	PART
cana-5221	65	7	optimize	optimize	VERB
cana-5221	65	8	the	the	DET
cana-5221	65	9	weights	weight	NOUN
cana-5221	65	10	and	and	CCONJ
cana-5221	65	11	biases	bias	NOUN
cana-5221	65	12	of	of	ADP
cana-5221	65	13	the	the	DET
cana-5221	65	14	mlp	mlp	NOUN
cana-5221	65	15	,	,	PUNCT
cana-5221	65	16	hence	hence	ADV
cana-5221	65	17	simplifying	simplify	VERB
cana-5221	65	18	the	the	DET
cana-5221	65	19	efficient	efficient	ADJ
cana-5221	65	20	selection	selection	NOUN
cana-5221	65	21	of	of	ADP
cana-5221	65	22	connection	connection	NOUN
cana-5221	65	23	weight	weight	NOUN
cana-5221	65	24	values	value	NOUN
cana-5221	65	25	.	.	PUNCT
cana-5221	66	1	this	this	DET
cana-5221	66	2	improvement	improvement	NOUN
cana-5221	66	3	significantly	significantly	ADV
cana-5221	66	4	improves	improve	VERB
cana-5221	66	5	detection	detection	NOUN
cana-5221	66	6	performance	performance	NOUN
cana-5221	66	7	,	,	PUNCT
cana-5221	66	8	thereby	thereby	ADV
cana-5221	66	9	augmenting	augment	VERB
cana-5221	66	10	the	the	DET
cana-5221	66	11	overall	overall	ADJ
cana-5221	66	12	efficacy	efficacy	NOUN
cana-5221	66	13	of	of	ADP
cana-5221	66	14	the	the	DET
cana-5221	66	15	ids	id	NOUN
cana-5221	66	16	.	.	PUNCT
cana-5221	67	1	according	accord	VERB
cana-5221	67	2	to	to	ADP
cana-5221	67	3	[	[	X
cana-5221	67	4	7	7	NUM
cana-5221	67	5	]	]	PUNCT
cana-5221	67	6	cnn	cnn	PROPN
cana-5221	67	7	\	\	PROPN
cana-5221	67	8	&	&	CCONJ
cana-5221	67	9	rnn	rnn	PROPN
cana-5221	67	10	are	be	AUX
cana-5221	67	11	two	two	NUM
cana-5221	67	12	deep	deep	ADJ
cana-5221	67	13	learning	learning	NOUN
cana-5221	67	14	methods	method	NOUN
cana-5221	67	15	used	use	VERB
cana-5221	67	16	to	to	PART
cana-5221	67	17	create	create	VERB
cana-5221	67	18	an	an	DET
cana-5221	67	19	intelligent	intelligent	ADJ
cana-5221	67	20	detection	detection	NOUN
cana-5221	67	21	system	system	NOUN
cana-5221	67	22	to	to	PART
cana-5221	67	23	identify	identify	VERB
cana-5221	67	24	various	various	ADJ
cana-5221	67	25	network	network	NOUN
cana-5221	67	26	intrusions	intrusion	NOUN
cana-5221	67	27	.	.	PUNCT
cana-5221	68	1	additionally	additionally	ADV
cana-5221	68	2	,	,	PUNCT
cana-5221	68	3	the	the	DET
cana-5221	68	4	system	system	NOUN
cana-5221	68	5	evaluates	evaluate	VERB
cana-5221	68	6	the	the	DET
cana-5221	68	7	proposed	propose	VERB
cana-5221	68	8	solution	solution	NOUN
cana-5221	68	9	's	's	PART
cana-5221	68	10	performance	performance	NOUN
cana-5221	68	11	using	use	VERB
cana-5221	68	12	several	several	ADJ
cana-5221	68	13	evaluation	evaluation	NOUN
cana-5221	68	14	matrices	matrix	NOUN
cana-5221	68	15	.	.	PUNCT
cana-5221	69	1	the	the	DET
cana-5221	69	2	system	system	NOUN
cana-5221	69	3	compares	compare	VERB
cana-5221	69	4	the	the	DET
cana-5221	69	5	results	result	NOUN
cana-5221	69	6	of	of	ADP
cana-5221	69	7	the	the	DET
cana-5221	69	8	suggested	suggest	VERB
cana-5221	69	9	solution	solution	NOUN
cana-5221	69	10	to	to	PART
cana-5221	69	11	choose	choose	VERB
cana-5221	69	12	the	the	DET
cana-5221	69	13	optimum	optimum	ADJ
cana-5221	69	14	model	model	NOUN
cana-5221	69	15	for	for	ADP
cana-5221	69	16	the	the	DET
cana-5221	69	17	network	network	NOUN
cana-5221	69	18	intrusion	intrusion	NOUN
cana-5221	69	19	detection	detection	NOUN
cana-5221	69	20	system	system	NOUN
cana-5221	69	21	.	.	PUNCT
cana-5221	70	1	according	accord	VERB
cana-5221	70	2	to	to	ADP
cana-5221	70	3	[	[	X
cana-5221	70	4	8	8	NUM
cana-5221	70	5	]	]	SYM
cana-5221	70	6	large	large	ADJ
cana-5221	70	7	volumes	volume	NOUN
cana-5221	70	8	of	of	ADP
cana-5221	70	9	log	log	NOUN
cana-5221	70	10	data	datum	NOUN
cana-5221	70	11	often	often	ADV
cana-5221	70	12	conceal	conceal	VERB
cana-5221	70	13	the	the	DET
cana-5221	70	14	malicious	malicious	ADJ
cana-5221	70	15	activities	activity	NOUN
cana-5221	70	16	of	of	ADP
cana-5221	70	17	insider	insider	NOUN
cana-5221	70	18	threats	threat	NOUN
cana-5221	70	19	,	,	PUNCT
cana-5221	70	20	allowing	allow	VERB
cana-5221	70	21	them	they	PRON
cana-5221	70	22	to	to	PART
cana-5221	70	23	remain	remain	VERB
cana-5221	70	24	undetected	undetected	ADJ
cana-5221	70	25	.	.	PUNCT
cana-5221	71	1	this	this	DET
cana-5221	71	2	survey	survey	NOUN
cana-5221	71	3	focuses	focus	VERB
cana-5221	71	4	on	on	ADP
cana-5221	71	5	insider	insider	NOUN
cana-5221	71	6	threat	threat	NOUN
cana-5221	71	7	detection	detection	NOUN
cana-5221	71	8	using	use	VERB
cana-5221	71	9	deep	deep	ADJ
cana-5221	71	10	learning	learning	NOUN
cana-5221	71	11	and	and	CCONJ
cana-5221	71	12	provides	provide	VERB
cana-5221	71	13	a	a	DET
cana-5221	71	14	comprehensive	comprehensive	ADJ
cana-5221	71	15	exploration	exploration	NOUN
cana-5221	71	16	of	of	ADP
cana-5221	71	17	the	the	DET
cana-5221	71	18	issue	issue	NOUN
cana-5221	71	19	.	.	PUNCT
cana-5221	72	1	it	it	PRON
cana-5221	72	2	starts	start	VERB
cana-5221	72	3	by	by	ADP
cana-5221	72	4	explaining	explain	VERB
cana-5221	72	5	what	what	PRON
cana-5221	72	6	insider	insider	NOUN
cana-5221	72	7	threat	threat	NOUN
cana-5221	72	8	detection	detection	NOUN
cana-5221	72	9	and	and	CCONJ
cana-5221	72	10	related	related	ADJ
cana-5221	72	11	ideas	idea	NOUN
cana-5221	72	12	are	be	AUX
cana-5221	72	13	and	and	CCONJ
cana-5221	72	14	why	why	SCONJ
cana-5221	72	15	deep	deep	ADJ
cana-5221	72	16	learning	learning	NOUN
cana-5221	72	17	is	be	AUX
cana-5221	72	18	better	well	ADJ
cana-5221	72	19	than	than	ADP
cana-5221	72	20	traditional	traditional	ADJ
cana-5221	72	21	machine	machine	NOUN
cana-5221	72	22	learning	learning	NOUN
cana-5221	72	23	methods	method	NOUN
cana-5221	72	24	for	for	ADP
cana-5221	72	25	dealing	deal	VERB
cana-5221	72	26	with	with	ADP
cana-5221	72	27	large	large	ADJ
cana-5221	72	28	amounts	amount	NOUN
cana-5221	72	29	of	of	ADP
cana-5221	72	30	complex	complex	ADJ
cana-5221	72	31	data	datum	NOUN
cana-5221	72	32	from	from	ADP
cana-5221	72	33	many	many	ADJ
cana-5221	72	34	sources	source	NOUN
cana-5221	72	35	.	.	PUNCT
cana-5221	73	1	the	the	DET
cana-5221	73	2	article	article	NOUN
cana-5221	73	3	delves	delve	VERB
cana-5221	73	4	into	into	ADP
cana-5221	73	5	the	the	DET
cana-5221	73	6	role	role	NOUN
cana-5221	73	7	of	of	ADP
cana-5221	73	8	deep	deep	ADJ
cana-5221	73	9	learning	learning	NOUN
cana-5221	73	10	and	and	CCONJ
cana-5221	73	11	log	log	NOUN
cana-5221	73	12	-	-	PUNCT
cana-5221	73	13	based	base	VERB
cana-5221	73	14	anomaly	anomaly	NOUN
cana-5221	73	15	detection	detection	NOUN
cana-5221	73	16	in	in	ADP
cana-5221	73	17	this	this	DET
cana-5221	73	18	domain	domain	NOUN
cana-5221	73	19	.	.	PUNCT
cana-5221	74	1	it	it	PRON
cana-5221	74	2	compiles	compile	VERB
cana-5221	74	3	datasets	dataset	NOUN
cana-5221	74	4	relevant	relevant	ADJ
cana-5221	74	5	to	to	ADP
cana-5221	74	6	insider	insider	NOUN
cana-5221	74	7	threat	threat	NOUN
cana-5221	74	8	detection	detection	NOUN
cana-5221	74	9	with	with	ADP
cana-5221	74	10	a	a	DET
cana-5221	74	11	particular	particular	ADJ
cana-5221	74	12	focus	focus	NOUN
cana-5221	74	13	on	on	ADP
cana-5221	74	14	the	the	DET
cana-5221	74	15	cert	cert	NOUN
cana-5221	74	16	insider	insider	NOUN
cana-5221	74	17	threat	threat	NOUN
cana-5221	74	18	dataset	dataset	VERB
cana-5221	74	19	and	and	CCONJ
cana-5221	74	20	offers	offer	VERB
cana-5221	74	21	a	a	DET
cana-5221	74	22	comparative	comparative	ADJ
cana-5221	74	23	analysis	analysis	NOUN
cana-5221	74	24	of	of	ADP
cana-5221	74	25	existing	exist	VERB
cana-5221	74	26	deep	deep	ADJ
cana-5221	74	27	learning	learning	NOUN
cana-5221	74	28	techniques	technique	NOUN
cana-5221	74	29	applied	apply	VERB
cana-5221	74	30	to	to	ADP
cana-5221	74	31	the	the	DET
cana-5221	74	32	problem	problem	NOUN
cana-5221	74	33	.	.	PUNCT
cana-5221	75	1	additionally	additionally	ADV
cana-5221	75	2	,	,	PUNCT
cana-5221	75	3	the	the	DET
cana-5221	75	4	study	study	NOUN
cana-5221	75	5	discusses	discuss	VERB
cana-5221	75	6	the	the	DET
cana-5221	75	7	challenges	challenge	NOUN
cana-5221	75	8	faced	face	VERB
cana-5221	75	9	in	in	ADP
cana-5221	75	10	this	this	DET
cana-5221	75	11	field	field	NOUN
cana-5221	75	12	and	and	CCONJ
cana-5221	75	13	how	how	SCONJ
cana-5221	75	14	they	they	PRON
cana-5221	75	15	have	have	AUX
cana-5221	75	16	shaped	shape	VERB
cana-5221	75	17	opportunities	opportunity	NOUN
cana-5221	75	18	for	for	ADP
cana-5221	75	19	future	future	ADJ
cana-5221	75	20	research	research	NOUN
cana-5221	75	21	.	.	PUNCT
cana-5221	76	1	it	it	PRON
cana-5221	76	2	shows	show	VERB
cana-5221	76	3	how	how	SCONJ
cana-5221	76	4	a	a	DET
cana-5221	76	5	deep	deep	ADJ
cana-5221	76	6	learning	learning	NOUN
cana-5221	76	7	model	model	NOUN
cana-5221	76	8	can	can	AUX
cana-5221	76	9	be	be	AUX
cana-5221	76	10	added	add	VERB
cana-5221	76	11	to	to	ADP
cana-5221	76	12	the	the	DET
cana-5221	76	13	elasticsearch	elasticsearch	NOUN
cana-5221	76	14	-	-	PUNCT
cana-5221	76	15	logstash	logstash	NOUN
cana-5221	76	16	-	-	PUNCT
cana-5221	76	17	kibana	kibana	PROPN
cana-5221	76	18	(	(	PUNCT
cana-5221	76	19	elk	elk	NOUN
cana-5221	76	20	)	)	PUNCT
cana-5221	76	21	stack	stack	NOUN
cana-5221	76	22	,	,	PUNCT
cana-5221	76	23	bridging	bridge	VERB
cana-5221	76	24	the	the	DET
cana-5221	76	25	gap	gap	NOUN
cana-5221	76	26	between	between	ADP
cana-5221	76	27	academic	academic	ADJ
cana-5221	76	28	and	and	CCONJ
cana-5221	76	29	practical	practical	ADJ
cana-5221	76	30	views	view	NOUN
cana-5221	76	31	.	.	PUNCT
cana-5221	77	1	this	this	PRON
cana-5221	77	2	gives	give	VERB
cana-5221	77	3	readers	reader	NOUN
cana-5221	77	4	interested	interested	ADJ
cana-5221	77	5	in	in	ADP
cana-5221	77	6	business	business	NOUN
cana-5221	77	7	-	-	PUNCT
cana-5221	77	8	related	relate	VERB
cana-5221	77	9	applications	application	NOUN
cana-5221	77	10	new	new	ADJ
cana-5221	77	11	ideas	idea	NOUN
cana-5221	77	12	.	.	PUNCT
cana-5221	78	1	according	accord	VERB
cana-5221	78	2	to	to	ADP
cana-5221	78	3	[	[	X
cana-5221	78	4	9	9	NUM
cana-5221	78	5	]	]	PUNCT
cana-5221	78	6	nonetheless	nonetheless	ADV
cana-5221	78	7	,	,	PUNCT
cana-5221	78	8	because	because	SCONJ
cana-5221	78	9	to	to	ADP
cana-5221	78	10	its	its	PRON
cana-5221	78	11	dispersed	disperse	VERB
cana-5221	78	12	and	and	CCONJ
cana-5221	78	13	open	open	ADJ
cana-5221	78	14	designs	design	NOUN
cana-5221	78	15	,	,	PUNCT
cana-5221	78	16	which	which	PRON
cana-5221	78	17	are	be	AUX
cana-5221	78	18	vulnerable	vulnerable	ADJ
cana-5221	78	19	to	to	ADP
cana-5221	78	20	incursions	incursion	NOUN
cana-5221	78	21	,	,	PUNCT
cana-5221	78	22	privacy	privacy	NOUN
cana-5221	78	23	&	&	CCONJ
cana-5221	78	24	security	security	NOUN
cana-5221	78	25	problems	problem	NOUN
cana-5221	78	26	are	be	AUX
cana-5221	78	27	important	important	ADJ
cana-5221	78	28	hurdles	hurdle	NOUN
cana-5221	78	29	in	in	ADP
cana-5221	78	30	the	the	DET
cana-5221	78	31	effective	effective	ADJ
cana-5221	78	32	adoption	adoption	NOUN
cana-5221	78	33	of	of	ADP
cana-5221	78	34	cloud	cloud	NOUN
cana-5221	78	35	computing	computing	NOUN
cana-5221	78	36	.	.	PUNCT
cana-5221	79	1	cloud	cloud	PROPN
cana-5221	79	2	computing	computing	NOUN
cana-5221	79	3	's	's	PART
cana-5221	79	4	open	open	ADJ
cana-5221	79	5	and	and	CCONJ
cana-5221	79	6	dispersed	disperse	VERB
cana-5221	79	7	features	feature	NOUN
cana-5221	79	8	are	be	AUX
cana-5221	79	9	more	more	ADV
cana-5221	79	10	tempting	tempting	ADJ
cana-5221	79	11	to	to	ADP
cana-5221	79	12	prospective	prospective	ADJ
cana-5221	79	13	hackers	hacker	NOUN
cana-5221	79	14	.	.	PUNCT
cana-5221	80	1	because	because	SCONJ
cana-5221	80	2	of	of	ADP
cana-5221	80	3	the	the	DET
cana-5221	80	4	openness	openness	NOUN
cana-5221	80	5	of	of	ADP
cana-5221	80	6	cloud	cloud	NOUN
cana-5221	80	7	computing	computing	NOUN
cana-5221	80	8	,	,	PUNCT
cana-5221	80	9	traditional	traditional	ADJ
cana-5221	80	10	intrusion	intrusion	NOUN
cana-5221	80	11	detection	detection	NOUN
cana-5221	80	12	technologies	technology	NOUN
cana-5221	80	13	are	be	AUX
cana-5221	80	14	often	often	ADV
cana-5221	80	15	communications	communication	NOUN
cana-5221	80	16	on	on	ADP
cana-5221	80	17	applied	apply	VERB
cana-5221	80	18	nonlinear	nonlinear	ADJ
cana-5221	80	19	analysis	analysis	NOUN
cana-5221	80	20	issn	issn	NOUN
cana-5221	80	21	:	:	PUNCT
cana-5221	80	22	1074	1074	NUM
cana-5221	80	23	-	-	PUNCT
cana-5221	80	24	133x	133x	NUM
cana-5221	80	25	vol	vol	VERB
cana-5221	80	26	32	32	NUM
cana-5221	80	27	no	no	NOUN
cana-5221	80	28	.	.	PUNCT
cana-5221	81	1	10s	10	NOUN
cana-5221	81	2	(	(	PUNCT
cana-5221	81	3	2025	2025	NUM
cana-5221	81	4	)	)	PUNCT
cana-5221	81	5	1213	1213	NUM
cana-5221	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	81	7	useless	useless	ADJ
cana-5221	81	8	.	.	PUNCT
cana-5221	82	1	this	this	DET
cana-5221	82	2	research	research	NOUN
cana-5221	82	3	investigates	investigate	VERB
cana-5221	82	4	the	the	DET
cana-5221	82	5	use	use	NOUN
cana-5221	82	6	of	of	ADP
cana-5221	82	7	deep	deep	ADJ
cana-5221	82	8	learning	learning	NOUN
cana-5221	82	9	to	to	PART
cana-5221	82	10	implement	implement	VERB
cana-5221	82	11	innovative	innovative	ADJ
cana-5221	82	12	intrusion	intrusion	NOUN
cana-5221	82	13	detection	detection	NOUN
cana-5221	82	14	systems	system	NOUN
cana-5221	82	15	that	that	PRON
cana-5221	82	16	use	use	VERB
cana-5221	82	17	a	a	DET
cana-5221	82	18	believe	believe	ADJ
cana-5221	82	19	adaptive	adaptive	ADJ
cana-5221	82	20	security	security	NOUN
cana-5221	82	21	model	model	NOUN
cana-5221	82	22	for	for	ADP
cana-5221	82	23	intrusion	intrusion	NOUN
cana-5221	82	24	detection	detection	NOUN
cana-5221	82	25	.	.	PUNCT
cana-5221	83	1	according	accord	VERB
cana-5221	83	2	to	to	ADP
cana-5221	83	3	[	[	X
cana-5221	83	4	10	10	NUM
cana-5221	83	5	]	]	PUNCT
cana-5221	83	6	used	use	VERB
cana-5221	83	7	many	many	ADJ
cana-5221	83	8	ids	id	NOUN
cana-5221	83	9	methodologies	methodology	NOUN
cana-5221	83	10	throughout	throughout	ADP
cana-5221	83	11	time	time	NOUN
cana-5221	83	12	to	to	PART
cana-5221	83	13	get	get	VERB
cana-5221	83	14	optimal	optimal	ADJ
cana-5221	83	15	detection	detection	NOUN
cana-5221	83	16	accuracy	accuracy	NOUN
cana-5221	83	17	.	.	PUNCT
cana-5221	84	1	machine	machine	NOUN
cana-5221	84	2	-	-	PUNCT
cana-5221	84	3	learning	learn	VERB
cana-5221	84	4	intrusion	intrusion	NOUN
cana-5221	84	5	detection	detection	NOUN
cana-5221	84	6	systems	system	NOUN
cana-5221	84	7	are	be	AUX
cana-5221	84	8	among	among	ADP
cana-5221	84	9	the	the	DET
cana-5221	84	10	most	most	ADV
cana-5221	84	11	promising	promising	ADJ
cana-5221	84	12	techniques	technique	NOUN
cana-5221	84	13	for	for	ADP
cana-5221	84	14	identifying	identify	VERB
cana-5221	84	15	both	both	CCONJ
cana-5221	84	16	known	known	ADJ
cana-5221	84	17	and	and	CCONJ
cana-5221	84	18	novel	novel	ADJ
cana-5221	84	19	threats	threat	NOUN
cana-5221	84	20	.	.	PUNCT
cana-5221	85	1	this	this	DET
cana-5221	85	2	article	article	NOUN
cana-5221	85	3	(	(	PUNCT
cana-5221	85	4	nids	nid	NOUN
cana-5221	85	5	)	)	PUNCT
cana-5221	85	6	examines	examine	VERB
cana-5221	85	7	the	the	DET
cana-5221	85	8	many	many	ADJ
cana-5221	85	9	machine	machine	NOUN
cana-5221	85	10	learning	learning	NOUN
cana-5221	85	11	methods	method	NOUN
cana-5221	85	12	used	use	VERB
cana-5221	85	13	in	in	ADP
cana-5221	85	14	the	the	DET
cana-5221	85	15	implementation	implementation	NOUN
cana-5221	85	16	of	of	ADP
cana-5221	85	17	network	network	NOUN
cana-5221	85	18	-	-	PUNCT
cana-5221	85	19	based	base	VERB
cana-5221	85	20	intrusion	intrusion	NOUN
cana-5221	85	21	detection	detection	NOUN
cana-5221	85	22	systems	system	NOUN
cana-5221	85	23	.	.	PUNCT
cana-5221	86	1	iii	iii	X
cana-5221	86	2	.	.	PROPN
cana-5221	86	3	proposed	propose	VERB
cana-5221	86	4	system	system	NOUN
cana-5221	86	5	design	design	VERB
cana-5221	86	6	our	our	PRON
cana-5221	86	7	objective	objective	NOUN
cana-5221	86	8	is	be	AUX
cana-5221	86	9	to	to	PART
cana-5221	86	10	create	create	VERB
cana-5221	86	11	and	and	CCONJ
cana-5221	86	12	implement	implement	VERB
cana-5221	86	13	a	a	DET
cana-5221	86	14	deep	deep	ADJ
cana-5221	86	15	learning	learning	NOUN
cana-5221	86	16	-	-	PUNCT
cana-5221	86	17	based	base	VERB
cana-5221	86	18	methodology	methodology	NOUN
cana-5221	86	19	for	for	ADP
cana-5221	86	20	the	the	DET
cana-5221	86	21	ids	id	NOUN
cana-5221	86	22	.	.	PUNCT
cana-5221	87	1	we	we	PRON
cana-5221	87	2	recognize	recognize	VERB
cana-5221	87	3	the	the	DET
cana-5221	87	4	intrusion	intrusion	NOUN
cana-5221	87	5	detection	detection	NOUN
cana-5221	87	6	system	system	NOUN
cana-5221	87	7	for	for	ADP
cana-5221	87	8	its	its	PRON
cana-5221	87	9	elevated	elevated	ADJ
cana-5221	87	10	incidence	incidence	NOUN
cana-5221	87	11	of	of	ADP
cana-5221	87	12	false	false	ADJ
cana-5221	87	13	alarms	alarm	NOUN
cana-5221	87	14	.	.	PUNCT
cana-5221	88	1	we	we	PRON
cana-5221	88	2	are	be	AUX
cana-5221	88	3	continuously	continuously	ADV
cana-5221	88	4	making	make	VERB
cana-5221	88	5	efforts	effort	NOUN
cana-5221	88	6	to	to	PART
cana-5221	88	7	reduce	reduce	VERB
cana-5221	88	8	the	the	DET
cana-5221	88	9	high	high	ADJ
cana-5221	88	10	false	false	ADJ
cana-5221	88	11	positive	positive	ADJ
cana-5221	88	12	rate	rate	NOUN
cana-5221	88	13	.	.	PUNCT
cana-5221	89	1	we	we	PRON
cana-5221	89	2	hold	hold	VERB
cana-5221	89	3	the	the	DET
cana-5221	89	4	belief	belief	NOUN
cana-5221	89	5	that	that	SCONJ
cana-5221	89	6	intrusion	intrusion	NOUN
cana-5221	89	7	detection	detection	NOUN
cana-5221	89	8	functions	function	NOUN
cana-5221	89	9	as	as	ADP
cana-5221	89	10	a	a	DET
cana-5221	89	11	data	data	NOUN
cana-5221	89	12	analysis	analysis	NOUN
cana-5221	89	13	process	process	NOUN
cana-5221	89	14	,	,	PUNCT
cana-5221	89	15	and	and	CCONJ
cana-5221	89	16	we	we	PRON
cana-5221	89	17	can	can	AUX
cana-5221	89	18	examine	examine	VERB
cana-5221	89	19	it	it	PRON
cana-5221	89	20	as	as	ADP
cana-5221	89	21	a	a	DET
cana-5221	89	22	problem	problem	NOUN
cana-5221	89	23	of	of	ADP
cana-5221	89	24	accurately	accurately	ADV
cana-5221	89	25	classifying	classify	VERB
cana-5221	89	26	data	datum	NOUN
cana-5221	89	27	.	.	PUNCT
cana-5221	90	1	from	from	ADP
cana-5221	90	2	this	this	DET
cana-5221	90	3	perspective	perspective	NOUN
cana-5221	90	4	,	,	PUNCT
cana-5221	90	5	we	we	PRON
cana-5221	90	6	observe	observe	VERB
cana-5221	90	7	that	that	SCONJ
cana-5221	90	8	the	the	DET
cana-5221	90	9	effectiveness	effectiveness	NOUN
cana-5221	90	10	of	of	ADP
cana-5221	90	11	any	any	DET
cana-5221	90	12	classification	classification	NOUN
cana-5221	90	13	scheme	scheme	NOUN
cana-5221	90	14	depends	depend	VERB
cana-5221	90	15	on	on	ADP
cana-5221	90	16	the	the	DET
cana-5221	90	17	quality	quality	NOUN
cana-5221	90	18	of	of	ADP
cana-5221	90	19	the	the	DET
cana-5221	90	20	data	datum	NOUN
cana-5221	90	21	it	it	PRON
cana-5221	90	22	receives	receive	VERB
cana-5221	90	23	as	as	ADP
cana-5221	90	24	input	input	NOUN
cana-5221	90	25	.	.	PUNCT
cana-5221	91	1	when	when	SCONJ
cana-5221	91	2	the	the	DET
cana-5221	91	3	data	data	NOUN
cana-5221	91	4	is	be	AUX
cana-5221	91	5	more	more	ADV
cana-5221	91	6	pristine	pristine	ADJ
cana-5221	91	7	,	,	PUNCT
cana-5221	91	8	the	the	DET
cana-5221	91	9	likelihood	likelihood	NOUN
cana-5221	91	10	of	of	ADP
cana-5221	91	11	obtaining	obtain	VERB
cana-5221	91	12	accurate	accurate	ADJ
cana-5221	91	13	results	result	NOUN
cana-5221	91	14	increases	increase	NOUN
cana-5221	91	15	.	.	PUNCT
cana-5221	92	1	from	from	ADP
cana-5221	92	2	an	an	DET
cana-5221	92	3	anomaly	anomaly	NOUN
cana-5221	92	4	-	-	PUNCT
cana-5221	92	5	based	base	VERB
cana-5221	92	6	ids	id	NOUN
cana-5221	92	7	perspective	perspective	NOUN
cana-5221	92	8	,	,	PUNCT
cana-5221	92	9	effectively	effectively	ADV
cana-5221	92	10	extracting	extract	VERB
cana-5221	92	11	features	feature	NOUN
cana-5221	92	12	that	that	PRON
cana-5221	92	13	distinguish	distinguish	VERB
cana-5221	92	14	normal	normal	ADJ
cana-5221	92	15	from	from	ADP
cana-5221	92	16	abnormal	abnormal	ADJ
cana-5221	92	17	data	datum	NOUN
cana-5221	92	18	can	can	AUX
cana-5221	92	19	significantly	significantly	ADV
cana-5221	92	20	decrease	decrease	VERB
cana-5221	92	21	the	the	DET
cana-5221	92	22	false	false	ADJ
cana-5221	92	23	positive	positive	ADJ
cana-5221	92	24	rate	rate	NOUN
cana-5221	92	25	.	.	PUNCT
cana-5221	93	1	to	to	PART
cana-5221	93	2	fully	fully	ADV
cana-5221	93	3	protect	protect	VERB
cana-5221	93	4	an	an	DET
cana-5221	93	5	intrusion	intrusion	NOUN
cana-5221	93	6	detection	detection	NOUN
cana-5221	93	7	system	system	NOUN
cana-5221	93	8	,	,	PUNCT
cana-5221	93	9	it	it	PRON
cana-5221	93	10	is	be	AUX
cana-5221	93	11	necessary	necessary	ADJ
cana-5221	93	12	to	to	PART
cana-5221	93	13	use	use	VERB
cana-5221	93	14	firewalls	firewall	NOUN
cana-5221	93	15	and	and	CCONJ
cana-5221	93	16	other	other	ADJ
cana-5221	93	17	intrusion	intrusion	NOUN
cana-5221	93	18	prevention	prevention	NOUN
cana-5221	93	19	tools	tool	NOUN
cana-5221	93	20	along	along	ADP
cana-5221	93	21	with	with	ADP
cana-5221	93	22	the	the	DET
cana-5221	93	23	intrusion	intrusion	NOUN
cana-5221	93	24	detection	detection	NOUN
cana-5221	93	25	system	system	NOUN
cana-5221	93	26	.	.	PUNCT
cana-5221	94	1	in	in	ADP
cana-5221	94	2	this	this	DET
cana-5221	94	3	study	study	NOUN
cana-5221	94	4	,	,	PUNCT
cana-5221	94	5	we	we	PRON
cana-5221	94	6	used	use	VERB
cana-5221	94	7	a	a	DET
cana-5221	94	8	machine	machine	NOUN
cana-5221	94	9	learning	learn	VERB
cana-5221	94	10	method	method	NOUN
cana-5221	94	11	on	on	ADP
cana-5221	94	12	the	the	DET
cana-5221	94	13	preprocessed	preprocesse	VERB
cana-5221	94	14	data	datum	NOUN
cana-5221	94	15	to	to	PART
cana-5221	94	16	develop	develop	VERB
cana-5221	94	17	a	a	DET
cana-5221	94	18	learning	learning	NOUN
cana-5221	94	19	model	model	NOUN
cana-5221	94	20	,	,	PUNCT
cana-5221	94	21	which	which	PRON
cana-5221	94	22	was	be	AUX
cana-5221	94	23	then	then	ADV
cana-5221	94	24	validated	validate	VERB
cana-5221	94	25	using	use	VERB
cana-5221	94	26	the	the	DET
cana-5221	94	27	whole	whole	ADJ
cana-5221	94	28	botnet	botnet	NOUN
cana-5221	94	29	dataset	dataset	NOUN
cana-5221	94	30	.	.	PUNCT
cana-5221	95	1	finally	finally	ADV
cana-5221	95	2	,	,	PUNCT
cana-5221	95	3	we	we	PRON
cana-5221	95	4	calculated	calculate	VERB
cana-5221	95	5	the	the	DET
cana-5221	95	6	accuracy	accuracy	NOUN
cana-5221	95	7	,	,	PUNCT
cana-5221	95	8	detection	detection	NOUN
cana-5221	95	9	rate	rate	NOUN
cana-5221	95	10	,	,	PUNCT
cana-5221	95	11	and	and	CCONJ
cana-5221	95	12	false	false	ADJ
cana-5221	95	13	alarm	alarm	NOUN
cana-5221	95	14	rate	rate	NOUN
cana-5221	95	15	to	to	PART
cana-5221	95	16	determine	determine	VERB
cana-5221	95	17	the	the	DET
cana-5221	95	18	machine	machine	NOUN
cana-5221	95	19	learning	learn	VERB
cana-5221	95	20	model	model	NOUN
cana-5221	95	21	's	's	PART
cana-5221	95	22	detection	detection	NOUN
cana-5221	95	23	efficiency	efficiency	NOUN
cana-5221	95	24	.	.	PUNCT
cana-5221	96	1	figure	figure	NOUN
cana-5221	96	2	1	1	NUM
cana-5221	96	3	:	:	PUNCT
cana-5221	96	4	proposed	propose	VERB
cana-5221	96	5	system	system	NOUN
cana-5221	96	6	design	design	NOUN
cana-5221	96	7	communications	communication	NOUN
cana-5221	96	8	on	on	ADP
cana-5221	96	9	applied	apply	VERB
cana-5221	96	10	nonlinear	nonlinear	ADJ
cana-5221	96	11	analysis	analysis	NOUN
cana-5221	96	12	issn	issn	NOUN
cana-5221	96	13	:	:	PUNCT
cana-5221	96	14	1074	1074	NUM
cana-5221	96	15	-	-	PUNCT
cana-5221	96	16	133x	133x	NUM
cana-5221	96	17	vol	vol	VERB
cana-5221	96	18	32	32	NUM
cana-5221	96	19	no	no	NOUN
cana-5221	96	20	.	.	PUNCT
cana-5221	97	1	10s	10	NOUN
cana-5221	97	2	(	(	PUNCT
cana-5221	97	3	2025	2025	NUM
cana-5221	97	4	)	)	PUNCT
cana-5221	97	5	1214	1214	NUM
cana-5221	97	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	97	7	implement	implement	NOUN
cana-5221	97	8	module	module	NOUN
cana-5221	97	9	data	datum	NOUN
cana-5221	97	10	collection	collection	NOUN
cana-5221	97	11	:	:	PUNCT
cana-5221	97	12	we	we	PRON
cana-5221	97	13	collect	collect	VERB
cana-5221	97	14	data	datum	NOUN
cana-5221	97	15	from	from	ADP
cana-5221	97	16	multiple	multiple	ADJ
cana-5221	97	17	sources	source	NOUN
cana-5221	97	18	,	,	PUNCT
cana-5221	97	19	such	such	ADJ
cana-5221	97	20	as	as	ADP
cana-5221	97	21	the	the	DET
cana-5221	97	22	uci	uci	PROPN
cana-5221	97	23	ml	ml	NOUN
cana-5221	97	24	repository	repository	PROPN
cana-5221	97	25	,	,	PUNCT
cana-5221	97	26	kaggle	kaggle	VERB
cana-5221	97	27	,	,	PUNCT
cana-5221	97	28	and	and	CCONJ
cana-5221	97	29	various	various	ADJ
cana-5221	97	30	real	real	ADJ
cana-5221	97	31	-	-	PUNCT
cana-5221	97	32	time	time	NOUN
cana-5221	97	33	data	datum	NOUN
cana-5221	97	34	streams	stream	NOUN
cana-5221	97	35	.	.	PUNCT
cana-5221	98	1	before	before	ADP
cana-5221	98	2	performing	perform	VERB
cana-5221	98	3	classification	classification	NOUN
cana-5221	98	4	tasks	task	NOUN
cana-5221	98	5	,	,	PUNCT
cana-5221	98	6	the	the	DET
cana-5221	98	7	data	datum	NOUN
cana-5221	98	8	needs	need	VERB
cana-5221	98	9	to	to	PART
cana-5221	98	10	undergo	undergo	VERB
cana-5221	98	11	preprocessing	preprocessing	NOUN
cana-5221	98	12	to	to	PART
cana-5221	98	13	improve	improve	VERB
cana-5221	98	14	results	result	NOUN
cana-5221	98	15	by	by	ADP
cana-5221	98	16	handling	handle	VERB
cana-5221	98	17	missing	miss	VERB
cana-5221	98	18	values	value	NOUN
cana-5221	98	19	and	and	CCONJ
cana-5221	98	20	eliminating	eliminate	VERB
cana-5221	98	21	redundant	redundant	ADJ
cana-5221	98	22	features	feature	NOUN
cana-5221	98	23	present	present	ADJ
cana-5221	98	24	in	in	ADP
cana-5221	98	25	the	the	DET
cana-5221	98	26	selected	select	VERB
cana-5221	98	27	dataset	dataset	NOUN
cana-5221	98	28	.	.	PUNCT
cana-5221	99	1	for	for	ADP
cana-5221	99	2	optimal	optimal	ADJ
cana-5221	99	3	outcomes	outcome	NOUN
cana-5221	99	4	during	during	ADP
cana-5221	99	5	the	the	DET
cana-5221	99	6	data	data	NOUN
cana-5221	99	7	mining	mining	NOUN
cana-5221	99	8	(	(	PUNCT
cana-5221	99	9	dm	dm	NOUN
cana-5221	99	10	)	)	PUNCT
cana-5221	99	11	process	process	NOUN
cana-5221	99	12	,	,	PUNCT
cana-5221	99	13	it	it	PRON
cana-5221	99	14	is	be	AUX
cana-5221	99	15	crucial	crucial	ADJ
cana-5221	99	16	to	to	PART
cana-5221	99	17	process	process	VERB
cana-5221	99	18	the	the	DET
cana-5221	99	19	dataset	dataset	NOUN
cana-5221	99	20	efficiently	efficiently	ADV
cana-5221	99	21	.	.	PUNCT
cana-5221	100	1	pre	pre	ADJ
cana-5221	100	2	-	-	ADJ
cana-5221	100	3	processing	processing	NOUN
cana-5221	100	4	and	and	CCONJ
cana-5221	100	5	normalization	normalization	NOUN
cana-5221	100	6	:	:	PUNCT
cana-5221	100	7	the	the	DET
cana-5221	100	8	quality	quality	NOUN
cana-5221	100	9	and	and	CCONJ
cana-5221	100	10	organization	organization	NOUN
cana-5221	100	11	of	of	ADP
cana-5221	100	12	input	input	NOUN
cana-5221	100	13	data	datum	NOUN
cana-5221	100	14	are	be	AUX
cana-5221	100	15	essential	essential	ADJ
cana-5221	100	16	for	for	ADP
cana-5221	100	17	attaining	attain	VERB
cana-5221	100	18	high	high	ADJ
cana-5221	100	19	predictive	predictive	ADJ
cana-5221	100	20	accuracy	accuracy	NOUN
cana-5221	100	21	in	in	ADP
cana-5221	100	22	machine	machine	NOUN
cana-5221	100	23	learning	learning	NOUN
cana-5221	100	24	.	.	PUNCT
cana-5221	101	1	this	this	DET
cana-5221	101	2	project	project	NOUN
cana-5221	101	3	uses	use	VERB
cana-5221	101	4	a	a	DET
cana-5221	101	5	lot	lot	NOUN
cana-5221	101	6	of	of	ADP
cana-5221	101	7	different	different	ADJ
cana-5221	101	8	preprocessing	preprocessing	NOUN
cana-5221	101	9	and	and	CCONJ
cana-5221	101	10	normalization	normalization	NOUN
cana-5221	101	11	methods	method	NOUN
cana-5221	101	12	to	to	PART
cana-5221	101	13	make	make	VERB
cana-5221	101	14	sure	sure	ADJ
cana-5221	101	15	that	that	SCONJ
cana-5221	101	16	the	the	DET
cana-5221	101	17	data	datum	NOUN
cana-5221	101	18	fed	feed	VERB
cana-5221	101	19	into	into	ADP
cana-5221	101	20	the	the	DET
cana-5221	101	21	machine	machine	NOUN
cana-5221	101	22	learning	learning	NOUN
cana-5221	101	23	models	model	NOUN
cana-5221	101	24	is	be	AUX
cana-5221	101	25	clean	clean	ADJ
cana-5221	101	26	,	,	PUNCT
cana-5221	101	27	standardized	standardized	ADJ
cana-5221	101	28	,	,	PUNCT
cana-5221	101	29	and	and	CCONJ
cana-5221	101	30	good	good	ADJ
cana-5221	101	31	for	for	ADP
cana-5221	101	32	analysis	analysis	NOUN
cana-5221	101	33	.	.	PUNCT
cana-5221	102	1	this	this	PRON
cana-5221	102	2	makes	make	VERB
cana-5221	102	3	it	it	PRON
cana-5221	102	4	easier	easy	ADJ
cana-5221	102	5	to	to	PART
cana-5221	102	6	find	find	VERB
cana-5221	102	7	and	and	CCONJ
cana-5221	102	8	stop	stop	VERB
cana-5221	102	9	iot	iot	NOUN
cana-5221	102	10	botnet	botnet	NOUN
cana-5221	102	11	attacks	attack	NOUN
cana-5221	102	12	.	.	PUNCT
cana-5221	103	1	data	datum	NOUN
cana-5221	103	2	cleaning	clean	VERB
cana-5221	103	3	:	:	PUNCT
cana-5221	103	4	the	the	DET
cana-5221	103	5	first	first	ADJ
cana-5221	103	6	stage	stage	NOUN
cana-5221	103	7	is	be	AUX
cana-5221	103	8	addressing	address	VERB
cana-5221	103	9	any	any	DET
cana-5221	103	10	absent	absent	ADJ
cana-5221	103	11	or	or	CCONJ
cana-5221	103	12	compromised	compromise	VERB
cana-5221	103	13	data	data	NOUN
cana-5221	103	14	entries	entry	NOUN
cana-5221	103	15	in	in	ADP
cana-5221	103	16	the	the	DET
cana-5221	103	17	dataset	dataset	NOUN
cana-5221	103	18	.	.	PUNCT
cana-5221	104	1	this	this	DET
cana-5221	104	2	method	method	NOUN
cana-5221	104	3	involves	involve	VERB
cana-5221	104	4	finding	find	VERB
cana-5221	104	5	and	and	CCONJ
cana-5221	104	6	substituting	substitute	VERB
cana-5221	104	7	or	or	CCONJ
cana-5221	104	8	eliminating	eliminate	VERB
cana-5221	104	9	records	record	NOUN
cana-5221	104	10	with	with	ADP
cana-5221	104	11	missing	miss	VERB
cana-5221	104	12	information	information	NOUN
cana-5221	104	13	to	to	PART
cana-5221	104	14	avert	avert	VERB
cana-5221	104	15	model	model	NOUN
cana-5221	104	16	errors	error	NOUN
cana-5221	104	17	.	.	PUNCT
cana-5221	105	1	normalization	normalization	NOUN
cana-5221	105	2	:	:	PUNCT
cana-5221	105	3	we	we	PRON
cana-5221	105	4	conduct	conduct	VERB
cana-5221	105	5	normalization	normalization	NOUN
cana-5221	105	6	to	to	PART
cana-5221	105	7	ensure	ensure	VERB
cana-5221	105	8	that	that	SCONJ
cana-5221	105	9	all	all	DET
cana-5221	105	10	characteristics	characteristic	NOUN
cana-5221	105	11	contribute	contribute	VERB
cana-5221	105	12	equally	equally	ADV
cana-5221	105	13	to	to	ADP
cana-5221	105	14	the	the	DET
cana-5221	105	15	model	model	NOUN
cana-5221	105	16	.	.	PUNCT
cana-5221	106	1	network	network	NOUN
cana-5221	106	2	traffic	traffic	NOUN
cana-5221	106	3	data	datum	NOUN
cana-5221	106	4	often	often	ADV
cana-5221	106	5	includes	include	VERB
cana-5221	106	6	information	information	NOUN
cana-5221	106	7	with	with	ADP
cana-5221	106	8	very	very	ADV
cana-5221	106	9	disparate	disparate	ADJ
cana-5221	106	10	scales	scale	NOUN
cana-5221	106	11	,	,	PUNCT
cana-5221	106	12	such	such	ADJ
cana-5221	106	13	as	as	ADP
cana-5221	106	14	packet	packet	NOUN
cana-5221	106	15	size	size	NOUN
cana-5221	106	16	and	and	CCONJ
cana-5221	106	17	frequency	frequency	NOUN
cana-5221	106	18	counts	count	NOUN
cana-5221	106	19	.	.	PUNCT
cana-5221	107	1	we	we	PRON
cana-5221	107	2	use	use	VERB
cana-5221	107	3	min	min	ADJ
cana-5221	107	4	-	-	ADJ
cana-5221	107	5	max	max	PROPN
cana-5221	107	6	normalization	normalization	NOUN
cana-5221	107	7	to	to	PART
cana-5221	107	8	adjust	adjust	VERB
cana-5221	107	9	these	these	DET
cana-5221	107	10	characteristics	characteristic	NOUN
cana-5221	107	11	to	to	ADP
cana-5221	107	12	a	a	DET
cana-5221	107	13	range	range	NOUN
cana-5221	107	14	of	of	ADP
cana-5221	107	15	[	[	X
cana-5221	107	16	0	0	NUM
cana-5221	107	17	,	,	PUNCT
cana-5221	107	18	1	1	NUM
cana-5221	107	19	]	]	PUNCT
cana-5221	107	20	,	,	PUNCT
cana-5221	107	21	preventing	prevent	VERB
cana-5221	107	22	any	any	DET
cana-5221	107	23	one	one	NUM
cana-5221	107	24	feature	feature	NOUN
cana-5221	107	25	from	from	ADP
cana-5221	107	26	overshadowing	overshadow	VERB
cana-5221	107	27	others	other	NOUN
cana-5221	107	28	due	due	ADP
cana-5221	107	29	to	to	ADP
cana-5221	107	30	its	its	PRON
cana-5221	107	31	magnitude	magnitude	NOUN
cana-5221	107	32	.	.	PUNCT
cana-5221	108	1	data	datum	NOUN
cana-5221	108	2	splitting	splitting	NOUN
cana-5221	108	3	:	:	PUNCT
cana-5221	108	4	we	we	PRON
cana-5221	108	5	partition	partition	VERB
cana-5221	108	6	the	the	DET
cana-5221	108	7	data	datum	NOUN
cana-5221	108	8	into	into	ADP
cana-5221	108	9	training	training	NOUN
cana-5221	108	10	,	,	PUNCT
cana-5221	108	11	validation	validation	NOUN
cana-5221	108	12	,	,	PUNCT
cana-5221	108	13	and	and	CCONJ
cana-5221	108	14	testing	testing	NOUN
cana-5221	108	15	sets	set	NOUN
cana-5221	108	16	after	after	ADP
cana-5221	108	17	preprocessing	preprocesse	VERB
cana-5221	108	18	and	and	CCONJ
cana-5221	108	19	standardizing	standardize	VERB
cana-5221	108	20	it	it	PRON
cana-5221	108	21	.	.	PUNCT
cana-5221	109	1	this	this	DET
cana-5221	109	2	division	division	NOUN
cana-5221	109	3	facilitates	facilitate	VERB
cana-5221	109	4	a	a	DET
cana-5221	109	5	precise	precise	ADJ
cana-5221	109	6	evaluation	evaluation	NOUN
cana-5221	109	7	of	of	ADP
cana-5221	109	8	model	model	NOUN
cana-5221	109	9	efficacy	efficacy	NOUN
cana-5221	109	10	and	and	CCONJ
cana-5221	109	11	guarantees	guarantee	VERB
cana-5221	109	12	that	that	SCONJ
cana-5221	109	13	the	the	DET
cana-5221	109	14	model	model	NOUN
cana-5221	109	15	does	do	AUX
cana-5221	109	16	not	not	PART
cana-5221	109	17	over	over	ADP
cana-5221	109	18	fit	fit	ADJ
cana-5221	109	19	to	to	ADP
cana-5221	109	20	particular	particular	ADJ
cana-5221	109	21	data	datum	NOUN
cana-5221	109	22	.	.	PUNCT
cana-5221	110	1	we	we	PRON
cana-5221	110	2	use	use	VERB
cana-5221	110	3	a	a	DET
cana-5221	110	4	conventional	conventional	ADJ
cana-5221	110	5	split	split	NOUN
cana-5221	110	6	ratio	ratio	NOUN
cana-5221	110	7	of	of	ADP
cana-5221	110	8	70	70	NUM
cana-5221	110	9	%	%	NOUN
cana-5221	110	10	for	for	ADP
cana-5221	110	11	training	training	NOUN
cana-5221	110	12	and	and	CCONJ
cana-5221	110	13	30	30	NUM
cana-5221	110	14	%	%	NOUN
cana-5221	110	15	for	for	ADP
cana-5221	110	16	testing	testing	NOUN
cana-5221	110	17	to	to	PART
cana-5221	110	18	ensure	ensure	VERB
cana-5221	110	19	a	a	DET
cana-5221	110	20	fair	fair	ADJ
cana-5221	110	21	assessment	assessment	NOUN
cana-5221	110	22	.	.	PUNCT
cana-5221	111	1	feature	feature	NOUN
cana-5221	111	2	extraction	extraction	NOUN
cana-5221	111	3	&	&	CCONJ
cana-5221	111	4	selection	selection	NOUN
cana-5221	111	5	:	:	PUNCT
cana-5221	111	6	given	give	VERB
cana-5221	111	7	the	the	DET
cana-5221	111	8	potentially	potentially	ADV
cana-5221	111	9	large	large	ADJ
cana-5221	111	10	number	number	NOUN
cana-5221	111	11	of	of	ADP
cana-5221	111	12	variables	variable	NOUN
cana-5221	111	13	in	in	ADP
cana-5221	111	14	iot	iot	ADJ
cana-5221	111	15	network	network	NOUN
cana-5221	111	16	datasets	dataset	NOUN
cana-5221	111	17	,	,	PUNCT
cana-5221	111	18	selecting	select	VERB
cana-5221	111	19	the	the	DET
cana-5221	111	20	most	most	ADV
cana-5221	111	21	relevant	relevant	ADJ
cana-5221	111	22	features	feature	NOUN
cana-5221	111	23	is	be	AUX
cana-5221	111	24	essential	essential	ADJ
cana-5221	111	25	for	for	ADP
cana-5221	111	26	efficient	efficient	ADJ
cana-5221	111	27	and	and	CCONJ
cana-5221	111	28	accurate	accurate	ADJ
cana-5221	111	29	model	model	NOUN
cana-5221	111	30	training	training	NOUN
cana-5221	111	31	.	.	PUNCT
cana-5221	112	1	statistical	statistical	ADJ
cana-5221	112	2	and	and	CCONJ
cana-5221	112	3	correlation	correlation	NOUN
cana-5221	112	4	-	-	PUNCT
cana-5221	112	5	based	base	VERB
cana-5221	112	6	techniques	technique	NOUN
cana-5221	112	7	are	be	AUX
cana-5221	112	8	used	use	VERB
cana-5221	112	9	to	to	PART
cana-5221	112	10	analyze	analyze	VERB
cana-5221	112	11	feature	feature	NOUN
cana-5221	112	12	importance	importance	NOUN
cana-5221	112	13	,	,	PUNCT
cana-5221	112	14	helping	help	VERB
cana-5221	112	15	to	to	PART
cana-5221	112	16	retain	retain	VERB
cana-5221	112	17	only	only	ADV
cana-5221	112	18	the	the	DET
cana-5221	112	19	most	most	ADV
cana-5221	112	20	significant	significant	ADJ
cana-5221	112	21	features	feature	NOUN
cana-5221	112	22	that	that	PRON
cana-5221	112	23	contribute	contribute	VERB
cana-5221	112	24	to	to	ADP
cana-5221	112	25	detecting	detect	VERB
cana-5221	112	26	botnet	botnet	NOUN
cana-5221	112	27	activities	activity	NOUN
cana-5221	112	28	.	.	PUNCT
cana-5221	113	1	feature	feature	NOUN
cana-5221	113	2	selection	selection	NOUN
cana-5221	113	3	reduces	reduce	VERB
cana-5221	113	4	computational	computational	ADJ
cana-5221	113	5	complexity	complexity	NOUN
cana-5221	113	6	and	and	CCONJ
cana-5221	113	7	improves	improve	VERB
cana-5221	113	8	model	model	NOUN
cana-5221	113	9	performance	performance	NOUN
cana-5221	113	10	by	by	ADP
cana-5221	113	11	removing	remove	VERB
cana-5221	113	12	irrelevant	irrelevant	ADJ
cana-5221	113	13	or	or	CCONJ
cana-5221	113	14	redundant	redundant	ADJ
cana-5221	113	15	data	datum	NOUN
cana-5221	113	16	.	.	PUNCT
cana-5221	114	1	classification	classification	NOUN
cana-5221	114	2	:	:	PUNCT
cana-5221	114	3	the	the	DET
cana-5221	114	4	classification	classification	NOUN
cana-5221	114	5	step	step	NOUN
cana-5221	114	6	is	be	AUX
cana-5221	114	7	essential	essential	ADJ
cana-5221	114	8	to	to	ADP
cana-5221	114	9	the	the	DET
cana-5221	114	10	dual	dual	ADJ
cana-5221	114	11	machine	machine	NOUN
cana-5221	114	12	learning	learn	VERB
cana-5221	114	13	methodology	methodology	NOUN
cana-5221	114	14	,	,	PUNCT
cana-5221	114	15	concentrating	concentrate	VERB
cana-5221	114	16	on	on	ADP
cana-5221	114	17	identifying	identify	VERB
cana-5221	114	18	active	active	ADJ
cana-5221	114	19	botnet	botnet	NOUN
cana-5221	114	20	assaults	assault	NOUN
cana-5221	114	21	in	in	ADP
cana-5221	114	22	the	the	DET
cana-5221	114	23	iot	iot	PROPN
cana-5221	114	24	network	network	NOUN
cana-5221	114	25	dataset	dataset	VERB
cana-5221	114	26	.	.	PUNCT
cana-5221	115	1	during	during	ADP
cana-5221	115	2	this	this	DET
cana-5221	115	3	phase	phase	NOUN
cana-5221	115	4	,	,	PUNCT
cana-5221	115	5	machine	machine	NOUN
cana-5221	115	6	learning	learn	VERB
cana-5221	115	7	algorithms	algorithm	NOUN
cana-5221	115	8	evaluate	evaluate	VERB
cana-5221	115	9	real	real	ADJ
cana-5221	115	10	-	-	PUNCT
cana-5221	115	11	time	time	NOUN
cana-5221	115	12	network	network	NOUN
cana-5221	115	13	traffic	traffic	NOUN
cana-5221	115	14	data	datum	NOUN
cana-5221	115	15	to	to	PART
cana-5221	115	16	categorize	categorize	VERB
cana-5221	115	17	behaviour	behaviour	NOUN
cana-5221	115	18	as	as	ADP
cana-5221	115	19	either	either	CCONJ
cana-5221	115	20	benign	benign	ADJ
cana-5221	115	21	or	or	CCONJ
cana-5221	115	22	malicious	malicious	ADJ
cana-5221	115	23	.	.	PUNCT
cana-5221	116	1	this	this	DET
cana-5221	116	2	categorization	categorization	NOUN
cana-5221	116	3	facilitates	facilitate	VERB
cana-5221	116	4	the	the	DET
cana-5221	116	5	swift	swift	ADJ
cana-5221	116	6	mitigation	mitigation	NOUN
cana-5221	116	7	of	of	ADP
cana-5221	116	8	botnet	botnet	NOUN
cana-5221	116	9	assaults	assault	NOUN
cana-5221	116	10	,	,	PUNCT
cana-5221	116	11	thereby	thereby	ADV
cana-5221	116	12	ensuring	ensure	VERB
cana-5221	116	13	improved	improve	VERB
cana-5221	116	14	iot	iot	ADJ
cana-5221	116	15	network	network	NOUN
cana-5221	116	16	dataset	dataset	VERB
cana-5221	116	17	security	security	NOUN
cana-5221	116	18	.	.	PUNCT
cana-5221	117	1	this	this	DET
cana-5221	117	2	research	research	NOUN
cana-5221	117	3	assessed	assess	VERB
cana-5221	117	4	several	several	ADJ
cana-5221	117	5	classification	classification	NOUN
cana-5221	117	6	algorithms	algorithm	NOUN
cana-5221	117	7	to	to	PART
cana-5221	117	8	establish	establish	VERB
cana-5221	117	9	the	the	DET
cana-5221	117	10	most	most	ADV
cana-5221	117	11	efficient	efficient	ADJ
cana-5221	117	12	model	model	NOUN
cana-5221	117	13	for	for	ADP
cana-5221	117	14	detecting	detect	VERB
cana-5221	117	15	botnet	botnet	NOUN
cana-5221	117	16	assaults	assault	NOUN
cana-5221	117	17	.	.	PUNCT
cana-5221	118	1	result	result	NOUN
cana-5221	118	2	and	and	CCONJ
cana-5221	118	3	analysis	analysis	NOUN
cana-5221	118	4	the	the	DET
cana-5221	118	5	other	other	ADJ
cana-5221	118	6	machine	machine	NOUN
cana-5221	118	7	learning	learn	VERB
cana-5221	118	8	classifiers	classifier	NOUN
cana-5221	118	9	achieved	achieve	VERB
cana-5221	118	10	varying	vary	VERB
cana-5221	118	11	degrees	degree	NOUN
cana-5221	118	12	of	of	ADP
cana-5221	118	13	accuracy	accuracy	NOUN
cana-5221	118	14	across	across	ADP
cana-5221	118	15	the	the	DET
cana-5221	118	16	different	different	ADJ
cana-5221	118	17	feature	feature	NOUN
cana-5221	118	18	sets	set	NOUN
cana-5221	118	19	.	.	PUNCT
cana-5221	119	1	ultimately	ultimately	ADV
cana-5221	119	2	,	,	PUNCT
cana-5221	119	3	all	all	DET
cana-5221	119	4	three	three	NUM
cana-5221	119	5	alternative	alternative	ADJ
cana-5221	119	6	classifiers	classifier	NOUN
cana-5221	119	7	outperformed	outperform	VERB
cana-5221	119	8	ours	ours	PRON
cana-5221	119	9	when	when	SCONJ
cana-5221	119	10	applied	apply	VERB
cana-5221	119	11	to	to	ADP
cana-5221	119	12	the	the	DET
cana-5221	119	13	string	string	NOUN
cana-5221	119	14	feature	feature	NOUN
cana-5221	119	15	set	set	VERB
cana-5221	119	16	.	.	PUNCT
cana-5221	120	1	despite	despite	SCONJ
cana-5221	120	2	this	this	PRON
cana-5221	120	3	,	,	PUNCT
cana-5221	120	4	our	our	PRON
cana-5221	120	5	combined	combined	ADJ
cana-5221	120	6	classifier	classifier	NOUN
cana-5221	120	7	achieved	achieve	VERB
cana-5221	120	8	the	the	DET
cana-5221	120	9	highest	high	ADJ
cana-5221	120	10	overall	overall	ADJ
cana-5221	120	11	accuracy	accuracy	NOUN
cana-5221	120	12	.	.	PUNCT
cana-5221	121	1	communications	communication	NOUN
cana-5221	121	2	on	on	ADP
cana-5221	121	3	applied	apply	VERB
cana-5221	121	4	nonlinear	nonlinear	ADJ
cana-5221	121	5	analysis	analysis	NOUN
cana-5221	121	6	issn	issn	NOUN
cana-5221	121	7	:	:	PUNCT
cana-5221	121	8	1074	1074	NUM
cana-5221	121	9	-	-	PUNCT
cana-5221	121	10	133x	133x	NUM
cana-5221	121	11	vol	vol	VERB
cana-5221	121	12	32	32	NUM
cana-5221	121	13	no	no	NOUN
cana-5221	121	14	.	.	PUNCT
cana-5221	122	1	10s	10	NOUN
cana-5221	122	2	(	(	PUNCT
cana-5221	122	3	2025	2025	NUM
cana-5221	122	4	)	)	PUNCT
cana-5221	122	5	1215	1215	NUM
cana-5221	123	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	123	2	figure	figure	NOUN
cana-5221	123	3	1.2	1.2	NUM
cana-5221	123	4	:	:	PUNCT
cana-5221	123	5	number	number	NOUN
cana-5221	123	6	of	of	ADP
cana-5221	123	7	unknown	unknown	ADJ
cana-5221	123	8	attack	attack	NOUN
cana-5221	123	9	detections	detection	NOUN
cana-5221	123	10	by	by	ADP
cana-5221	123	11	the	the	DET
cana-5221	123	12	system	system	NOUN
cana-5221	123	13	with	with	ADP
cana-5221	123	14	various	various	ADJ
cana-5221	123	15	thresholds	threshold	NOUN
cana-5221	123	16	in	in	ADP
cana-5221	123	17	figure	figure	NOUN
cana-5221	123	18	1.2	1.2	NUM
cana-5221	123	19	,	,	PUNCT
cana-5221	123	20	we	we	PRON
cana-5221	123	21	had	have	AUX
cana-5221	123	22	done	do	VERB
cana-5221	123	23	the	the	DET
cana-5221	123	24	same	same	ADJ
cana-5221	123	25	experiment	experiment	NOUN
cana-5221	123	26	,	,	PUNCT
cana-5221	123	27	which	which	PRON
cana-5221	123	28	is	be	AUX
cana-5221	123	29	already	already	ADV
cana-5221	123	30	verified	verify	VERB
cana-5221	123	31	,	,	PUNCT
cana-5221	123	32	showing	show	VERB
cana-5221	123	33	the	the	DET
cana-5221	123	34	data	datum	NOUN
cana-5221	123	35	set	set	VERB
cana-5221	123	36	that	that	PRON
cana-5221	123	37	was	be	AUX
cana-5221	123	38	used	use	VERB
cana-5221	123	39	to	to	PART
cana-5221	123	40	measure	measure	VERB
cana-5221	123	41	the	the	DET
cana-5221	123	42	detection	detection	NOUN
cana-5221	123	43	accuracy	accuracy	NOUN
cana-5221	123	44	of	of	ADP
cana-5221	123	45	the	the	DET
cana-5221	123	46	proposed	propose	VERB
cana-5221	123	47	system	system	NOUN
cana-5221	123	48	with	with	ADP
cana-5221	123	49	the	the	DET
cana-5221	123	50	same	same	ADJ
cana-5221	123	51	algorithms	algorithm	NOUN
cana-5221	123	52	.	.	PUNCT
cana-5221	124	1	the	the	DET
cana-5221	124	2	above	above	ADJ
cana-5221	124	3	figure	figure	NOUN
cana-5221	124	4	illustrates	illustrate	VERB
cana-5221	124	5	how	how	SCONJ
cana-5221	124	6	resetting	reset	VERB
cana-5221	124	7	different	different	ADJ
cana-5221	124	8	threshold	threshold	NOUN
cana-5221	124	9	values	value	NOUN
cana-5221	124	10	can	can	AUX
cana-5221	124	11	alter	alter	VERB
cana-5221	124	12	classification	classification	NOUN
cana-5221	124	13	accuracy	accuracy	NOUN
cana-5221	124	14	.	.	PUNCT
cana-5221	125	1	conclusion	conclusion	NOUN
cana-5221	125	2	since	since	SCONJ
cana-5221	125	3	intrusion	intrusion	NOUN
cana-5221	125	4	detection	detection	NOUN
cana-5221	125	5	research	research	NOUN
cana-5221	125	6	gained	gain	VERB
cana-5221	125	7	significant	significant	ADJ
cana-5221	125	8	attention	attention	NOUN
cana-5221	125	9	in	in	ADP
cana-5221	125	10	the	the	DET
cana-5221	125	11	security	security	NOUN
cana-5221	125	12	community	community	NOUN
cana-5221	125	13	around	around	ADV
cana-5221	125	14	a	a	DET
cana-5221	125	15	decade	decade	NOUN
cana-5221	125	16	ago	ago	ADV
cana-5221	125	17	,	,	PUNCT
cana-5221	125	18	a	a	DET
cana-5221	125	19	variety	variety	NOUN
cana-5221	125	20	of	of	ADP
cana-5221	125	21	approaches	approach	NOUN
cana-5221	125	22	have	have	AUX
cana-5221	125	23	emerged	emerge	VERB
cana-5221	125	24	to	to	PART
cana-5221	125	25	address	address	VERB
cana-5221	125	26	this	this	DET
cana-5221	125	27	challenge	challenge	NOUN
cana-5221	125	28	.	.	PUNCT
cana-5221	126	1	intrusion	intrusion	NOUN
cana-5221	126	2	detection	detection	NOUN
cana-5221	126	3	systems	system	NOUN
cana-5221	126	4	differ	differ	VERB
cana-5221	126	5	in	in	ADP
cana-5221	126	6	the	the	DET
cana-5221	126	7	data	datum	NOUN
cana-5221	126	8	sources	source	NOUN
cana-5221	126	9	they	they	PRON
cana-5221	126	10	utilize	utilize	VERB
cana-5221	126	11	and	and	CCONJ
cana-5221	126	12	the	the	DET
cana-5221	126	13	techniques	technique	NOUN
cana-5221	126	14	they	they	PRON
cana-5221	126	15	apply	apply	VERB
cana-5221	126	16	to	to	PART
cana-5221	126	17	analyze	analyze	VERB
cana-5221	126	18	it	it	PRON
cana-5221	126	19	.	.	PUNCT
cana-5221	127	1	today	today	NOUN
cana-5221	127	2	,	,	PUNCT
cana-5221	127	3	most	most	ADJ
cana-5221	127	4	systems	system	NOUN
cana-5221	127	5	classify	classify	VERB
cana-5221	127	6	data	datum	NOUN
cana-5221	127	7	using	use	VERB
cana-5221	127	8	either	either	CCONJ
cana-5221	127	9	abuse	abuse	NOUN
cana-5221	127	10	detection	detection	NOUN
cana-5221	127	11	or	or	CCONJ
cana-5221	127	12	anomaly	anomaly	NOUN
cana-5221	127	13	detection	detection	NOUN
cana-5221	127	14	,	,	PUNCT
cana-5221	127	15	each	each	PRON
cana-5221	127	16	with	with	ADP
cana-5221	127	17	its	its	PRON
cana-5221	127	18	own	own	ADJ
cana-5221	127	19	strengths	strength	NOUN
cana-5221	127	20	and	and	CCONJ
cana-5221	127	21	weaknesses	weakness	NOUN
cana-5221	127	22	.	.	PUNCT
cana-5221	128	1	achieving	achieve	VERB
cana-5221	128	2	flawless	flawless	ADJ
cana-5221	128	3	detection	detection	NOUN
cana-5221	128	4	,	,	PUNCT
cana-5221	128	5	much	much	ADV
cana-5221	128	6	like	like	ADP
cana-5221	128	7	perfect	perfect	ADJ
cana-5221	128	8	security	security	NOUN
cana-5221	128	9	,	,	PUNCT
cana-5221	128	10	is	be	AUX
cana-5221	128	11	unrealistic	unrealistic	ADJ
cana-5221	128	12	due	due	ADP
cana-5221	128	13	to	to	ADP
cana-5221	128	14	the	the	DET
cana-5221	128	15	complexity	complexity	NOUN
cana-5221	128	16	and	and	CCONJ
cana-5221	128	17	rapid	rapid	ADJ
cana-5221	128	18	evolution	evolution	NOUN
cana-5221	128	19	of	of	ADP
cana-5221	128	20	modern	modern	ADJ
cana-5221	128	21	systems	system	NOUN
cana-5221	128	22	.	.	PUNCT
cana-5221	129	1	upon	upon	SCONJ
cana-5221	129	2	completing	complete	VERB
cana-5221	129	3	this	this	DET
cana-5221	129	4	survey	survey	NOUN
cana-5221	129	5	,	,	PUNCT
cana-5221	129	6	we	we	PRON
cana-5221	129	7	conclude	conclude	VERB
cana-5221	129	8	that	that	SCONJ
cana-5221	129	9	multiple	multiple	ADJ
cana-5221	129	10	methods	method	NOUN
cana-5221	129	11	exist	exist	VERB
cana-5221	129	12	for	for	ADP
cana-5221	129	13	identifying	identify	VERB
cana-5221	129	14	attacks	attack	NOUN
cana-5221	129	15	,	,	PUNCT
cana-5221	129	16	with	with	ADP
cana-5221	129	17	both	both	CCONJ
cana-5221	129	18	soft	soft	ADJ
cana-5221	129	19	computing	computing	NOUN
cana-5221	129	20	and	and	CCONJ
cana-5221	129	21	classification	classification	NOUN
cana-5221	129	22	approaches	approach	NOUN
cana-5221	129	23	proving	prove	VERB
cana-5221	129	24	effective	effective	ADJ
cana-5221	129	25	.	.	PUNCT
cana-5221	130	1	numerous	numerous	ADJ
cana-5221	130	2	systems	system	NOUN
cana-5221	130	3	have	have	AUX
cana-5221	130	4	focused	focus	VERB
cana-5221	130	5	on	on	ADP
cana-5221	130	6	signal	signal	NOUN
cana-5221	130	7	-	-	PUNCT
cana-5221	130	8	based	base	VERB
cana-5221	130	9	anomaly	anomaly	NOUN
cana-5221	130	10	detection	detection	NOUN
cana-5221	130	11	,	,	PUNCT
cana-5221	130	12	developing	develop	VERB
cana-5221	130	13	diverse	diverse	ADJ
cana-5221	130	14	rules	rule	NOUN
cana-5221	130	15	to	to	PART
cana-5221	130	16	facilitate	facilitate	VERB
cana-5221	130	17	this	this	DET
cana-5221	130	18	process	process	NOUN
cana-5221	130	19	.	.	PUNCT
cana-5221	131	1	for	for	ADP
cana-5221	131	2	our	our	PRON
cana-5221	131	3	research	research	NOUN
cana-5221	131	4	,	,	PUNCT
cana-5221	131	5	we	we	PRON
cana-5221	131	6	employed	employ	VERB
cana-5221	131	7	the	the	DET
cana-5221	131	8	botnet	botnet	NOUN
cana-5221	131	9	dataset	dataset	NOUN
cana-5221	131	10	for	for	ADP
cana-5221	131	11	training	training	NOUN
cana-5221	131	12	and	and	CCONJ
cana-5221	131	13	testing	testing	NOUN
cana-5221	131	14	purposes	purpose	NOUN
cana-5221	131	15	.	.	PUNCT
cana-5221	132	1	references	reference	NOUN
cana-5221	132	2	[	[	X
cana-5221	132	3	1	1	NUM
cana-5221	132	4	]	]	PUNCT
cana-5221	132	5	amaizu	amaizu	PROPN
cana-5221	132	6	,	,	PUNCT
cana-5221	132	7	gabriel	gabriel	PROPN
cana-5221	132	8	chukwunonso	chukwunonso	PROPN
cana-5221	132	9	,	,	PUNCT
cana-5221	132	10	et	et	PROPN
cana-5221	132	11	al	al	PROPN
cana-5221	132	12	.	.	PUNCT
cana-5221	133	1	"	"	PUNCT
cana-5221	133	2	investigating	investigate	VERB
cana-5221	133	3	network	network	NOUN
cana-5221	133	4	intrusion	intrusion	NOUN
cana-5221	133	5	detection	detection	NOUN
cana-5221	133	6	datasets	dataset	NOUN
cana-5221	133	7	using	use	VERB
cana-5221	133	8	machine	machine	NOUN
cana-5221	133	9	learning	learning	NOUN
cana-5221	133	10	.	.	PUNCT
cana-5221	133	11	"	"	PUNCT
cana-5221	134	1	2020	2020	NUM
cana-5221	134	2	international	international	ADJ
cana-5221	134	3	conference	conference	NOUN
cana-5221	134	4	on	on	ADP
cana-5221	134	5	information	information	NOUN
cana-5221	134	6	and	and	CCONJ
cana-5221	134	7	communication	communication	NOUN
cana-5221	134	8	technology	technology	NOUN
cana-5221	134	9	convergence	convergence	NOUN
cana-5221	134	10	(	(	PUNCT
cana-5221	134	11	ictc	ictc	NOUN
cana-5221	134	12	)	)	PUNCT
cana-5221	134	13	.	.	PUNCT
cana-5221	135	1	ieee	ieee	PROPN
cana-5221	135	2	,	,	PUNCT
cana-5221	135	3	2020	2020	NUM
cana-5221	136	1	[	[	X
cana-5221	136	2	2	2	NUM
cana-5221	136	3	]	]	X
cana-5221	136	4	abdel	abdel	PROPN
cana-5221	136	5	-	-	PUNCT
cana-5221	136	6	wahab	wahab	PROPN
cana-5221	136	7	,	,	PUNCT
cana-5221	136	8	mohab	mohab	PROPN
cana-5221	136	9	sameh	sameh	NOUN
cana-5221	136	10	,	,	PUNCT
cana-5221	136	11	ahmed	ahmed	PROPN
cana-5221	136	12	m.	m.	PROPN
cana-5221	136	13	neil	neil	PROPN
cana-5221	136	14	,	,	PUNCT
cana-5221	136	15	and	and	CCONJ
cana-5221	136	16	ayman	ayman	PROPN
cana-5221	136	17	atia	atia	PROPN
cana-5221	136	18	.	.	PUNCT
cana-5221	137	1	"	"	PUNCT
cana-5221	137	2	a	a	DET
cana-5221	137	3	comparative	comparative	ADJ
cana-5221	137	4	study	study	NOUN
cana-5221	137	5	of	of	ADP
cana-5221	137	6	machine	machine	NOUN
cana-5221	137	7	learning	learning	NOUN
cana-5221	137	8	and	and	CCONJ
cana-5221	137	9	deep	deep	ADJ
cana-5221	137	10	learning	learning	NOUN
cana-5221	137	11	in	in	ADP
cana-5221	137	12	network	network	NOUN
cana-5221	137	13	anomaly	anomaly	NOUN
cana-5221	137	14	-	-	PUNCT
cana-5221	137	15	based	base	VERB
cana-5221	137	16	intrusion	intrusion	NOUN
cana-5221	137	17	detection	detection	NOUN
cana-5221	137	18	systems	system	NOUN
cana-5221	137	19	.	.	PUNCT
cana-5221	137	20	"	"	PUNCT
cana-5221	138	1	2020	2020	NUM
cana-5221	138	2	15th	15th	ADJ
cana-5221	138	3	international	international	ADJ
cana-5221	138	4	conference	conference	NOUN
cana-5221	138	5	on	on	ADP
cana-5221	138	6	computer	computer	NOUN
cana-5221	138	7	engineering	engineering	NOUN
cana-5221	138	8	and	and	CCONJ
cana-5221	138	9	systems	system	NOUN
cana-5221	138	10	(	(	PUNCT
cana-5221	138	11	icces	icce	NOUN
cana-5221	138	12	)	)	PUNCT
cana-5221	138	13	.	.	PUNCT
cana-5221	139	1	ieee	ieee	PROPN
cana-5221	139	2	,	,	PUNCT
cana-5221	139	3	2020	2020	NUM
cana-5221	140	1	[	[	X
cana-5221	140	2	3	3	NUM
cana-5221	140	3	]	]	X
cana-5221	140	4	abou	abou	PROPN
cana-5221	140	5	khamis	khamis	PROPN
cana-5221	140	6	,	,	PUNCT
cana-5221	140	7	rana	rana	PROPN
cana-5221	140	8	,	,	PUNCT
cana-5221	140	9	m.	m.	PROPN
cana-5221	140	10	omair	omair	PROPN
cana-5221	140	11	shafiq	shafiq	PROPN
cana-5221	140	12	,	,	PUNCT
cana-5221	140	13	and	and	CCONJ
cana-5221	140	14	ashraf	ashraf	VERB
cana-5221	140	15	matrawy	matrawy	PROPN
cana-5221	140	16	.	.	PUNCT
cana-5221	141	1	"	"	PUNCT
cana-5221	141	2	investigating	investigate	VERB
cana-5221	141	3	resistance	resistance	NOUN
cana-5221	141	4	of	of	ADP
cana-5221	141	5	deep	deep	ADJ
cana-5221	141	6	learning	learning	NOUN
cana-5221	141	7	-	-	PUNCT
cana-5221	141	8	based	base	VERB
cana-5221	141	9	ids	id	NOUN
cana-5221	141	10	against	against	ADP
cana-5221	141	11	adversaries	adversary	NOUN
cana-5221	141	12	using	use	VERB
cana-5221	141	13	min	min	ADJ
cana-5221	141	14	-	-	ADJ
cana-5221	141	15	max	max	PROPN
cana-5221	141	16	optimization	optimization	NOUN
cana-5221	141	17	.	.	PUNCT
cana-5221	141	18	"	"	PUNCT
cana-5221	142	1	icc	icc	PROPN
cana-5221	142	2	2020	2020	NUM
cana-5221	142	3	-	-	SYM
cana-5221	142	4	2020	2020	NUM
cana-5221	142	5	ieee	ieee	NOUN
cana-5221	142	6	international	international	ADJ
cana-5221	142	7	conference	conference	NOUN
cana-5221	142	8	on	on	ADP
cana-5221	142	9	communications	communication	NOUN
cana-5221	142	10	(	(	PUNCT
cana-5221	142	11	icc	icc	PROPN
cana-5221	142	12	)	)	PUNCT
cana-5221	142	13	.	.	PUNCT
cana-5221	143	1	ieee	ieee	PROPN
cana-5221	143	2	,	,	PUNCT
cana-5221	143	3	2020	2020	NUM
cana-5221	143	4	.	.	PUNCT
cana-5221	144	1	communications	communication	NOUN
cana-5221	144	2	on	on	ADP
cana-5221	144	3	applied	apply	VERB
cana-5221	144	4	nonlinear	nonlinear	ADJ
cana-5221	144	5	analysis	analysis	NOUN
cana-5221	144	6	issn	issn	NOUN
cana-5221	144	7	:	:	PUNCT
cana-5221	144	8	1074	1074	NUM
cana-5221	144	9	-	-	PUNCT
cana-5221	144	10	133x	133x	NUM
cana-5221	144	11	vol	vol	VERB
cana-5221	144	12	32	32	NUM
cana-5221	144	13	no	no	NOUN
cana-5221	144	14	.	.	PUNCT
cana-5221	145	1	10s	10	NOUN
cana-5221	145	2	(	(	PUNCT
cana-5221	145	3	2025	2025	NUM
cana-5221	145	4	)	)	PUNCT
cana-5221	145	5	1216	1216	NUM
cana-5221	145	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5221	146	1	[	[	X
cana-5221	146	2	4	4	NUM
cana-5221	146	3	]	]	X
cana-5221	146	4	atefi	atefi	PROPN
cana-5221	146	5	,	,	PUNCT
cana-5221	146	6	kayvan	kayvan	PROPN
cana-5221	146	7	,	,	PUNCT
cana-5221	146	8	habibah	habibah	PROPN
cana-5221	146	9	hashim	hashim	PROPN
cana-5221	146	10	,	,	PUNCT
cana-5221	146	11	and	and	CCONJ
cana-5221	146	12	touraj	touraj	ADJ
cana-5221	146	13	khodadadi	khodadadi	PROPN
cana-5221	146	14	.	.	PUNCT
cana-5221	147	1	"	"	PUNCT
cana-5221	147	2	a	a	DET
cana-5221	147	3	hybrid	hybrid	ADJ
cana-5221	147	4	anomaly	anomaly	NOUN
cana-5221	147	5	classification	classification	NOUN
cana-5221	147	6	with	with	ADP
cana-5221	147	7	deep	deep	ADJ
cana-5221	147	8	learning	learning	NOUN
cana-5221	147	9	(	(	PUNCT
cana-5221	147	10	dl	dl	NOUN
cana-5221	147	11	)	)	PUNCT
cana-5221	147	12	and	and	CCONJ
cana-5221	147	13	binary	binary	ADJ
cana-5221	147	14	algorithms	algorithm	NOUN
cana-5221	147	15	(	(	PUNCT
cana-5221	147	16	ba	ba	NOUN
cana-5221	147	17	)	)	PUNCT
cana-5221	147	18	as	as	ADP
cana-5221	147	19	optimizer	optimizer	NOUN
cana-5221	147	20	in	in	ADP
cana-5221	147	21	the	the	DET
cana-5221	147	22	intrusion	intrusion	NOUN
cana-5221	147	23	detection	detection	NOUN
cana-5221	147	24	system	system	NOUN
cana-5221	147	25	(	(	PUNCT
cana-5221	147	26	ids	id	NOUN
cana-5221	147	27	)	)	PUNCT
cana-5221	147	28	.	.	PUNCT
cana-5221	147	29	"	"	PUNCT
cana-5221	148	1	2020	2020	NUM
cana-5221	148	2	16th	16th	ADJ
cana-5221	148	3	ieee	ieee	NOUN
cana-5221	148	4	international	international	ADJ
cana-5221	148	5	colloquium	colloquium	NOUN
cana-5221	148	6	on	on	ADP
cana-5221	148	7	signal	signal	NOUN
cana-5221	148	8	processing	process	VERB
cana-5221	148	9	\	\	PROPN
cana-5221	148	10	&	&	CCONJ
cana-5221	148	11	its	its	PRON
cana-5221	148	12	applications	application	NOUN
cana-5221	148	13	(	(	PUNCT
cana-5221	148	14	cspa	cspa	NOUN
cana-5221	148	15	)	)	PUNCT
cana-5221	148	16	.	.	PUNCT
cana-5221	149	1	ieee	ieee	PROPN
cana-5221	149	2	,	,	PUNCT
cana-5221	149	3	2020	2020	NUM
cana-5221	149	4	.	.	PUNCT
cana-5221	150	1	[	[	X
cana-5221	150	2	5	5	NUM
cana-5221	150	3	]	]	PUNCT
cana-5221	150	4	andresini	andresini	PROPN
cana-5221	150	5	,	,	PUNCT
cana-5221	150	6	giuseppina	giuseppina	PROPN
cana-5221	150	7	,	,	PUNCT
cana-5221	150	8	et	et	PROPN
cana-5221	150	9	al	al	PROPN
cana-5221	150	10	.	.	PUNCT
cana-5221	151	1	"	"	PUNCT
cana-5221	151	2	multi	multi	ADJ
cana-5221	151	3	-	-	ADJ
cana-5221	151	4	channel	channel	ADJ
cana-5221	151	5	deep	deep	ADJ
cana-5221	151	6	feature	feature	NOUN
cana-5221	151	7	learning	learn	VERB
cana-5221	151	8	for	for	ADP
cana-5221	151	9	intrusion	intrusion	NOUN
cana-5221	151	10	detection	detection	NOUN
cana-5221	151	11	.	.	PUNCT
cana-5221	151	12	"	"	PUNCT
cana-5221	152	1	ieee	ieee	NOUN
cana-5221	152	2	access	access	NOUN
cana-5221	152	3	8	8	NUM
cana-5221	152	4	(	(	PUNCT
cana-5221	152	5	2020	2020	NUM
cana-5221	152	6	):	):	PUNCT
cana-5221	152	7	53346	53346	NUM
cana-5221	152	8	-	-	SYM
cana-5221	152	9	53359	53359	NUM
cana-5221	152	10	.	.	PUNCT
cana-5221	153	1	[	[	X
cana-5221	153	2	6	6	NUM
cana-5221	153	3	]	]	PUNCT
cana-5221	153	4	amaran	amaran	NOUN
cana-5221	153	5	,	,	PUNCT
cana-5221	153	6	sibi	sibi	ADV
cana-5221	153	7	,	,	PUNCT
cana-5221	153	8	and	and	CCONJ
cana-5221	153	9	r.	r.	PROPN
cana-5221	153	10	madhan	madhan	PROPN
cana-5221	153	11	mohan	mohan	PROPN
cana-5221	153	12	.	.	PUNCT
cana-5221	154	1	"	"	PUNCT
cana-5221	154	2	an	an	DET
cana-5221	154	3	optimal	optimal	ADJ
cana-5221	154	4	multilayer	multilayer	ADJ
cana-5221	154	5	perceptron	perceptron	NOUN
cana-5221	154	6	with	with	ADP
cana-5221	154	7	dragonfly	dragonfly	PROPN
cana-5221	154	8	algorithm	algorithm	NOUN
cana-5221	154	9	for	for	ADP
cana-5221	154	10	intrusion	intrusion	NOUN
cana-5221	154	11	detection	detection	NOUN
cana-5221	154	12	in	in	ADP
cana-5221	154	13	wireless	wireless	ADJ
cana-5221	154	14	sensor	sensor	NOUN
cana-5221	154	15	networks	network	NOUN
cana-5221	154	16	.	.	PUNCT
cana-5221	154	17	"	"	PUNCT
cana-5221	155	1	2021	2021	NUM
cana-5221	155	2	5th	5th	ADJ
cana-5221	155	3	international	international	ADJ
cana-5221	155	4	conference	conference	NOUN
cana-5221	155	5	on	on	ADP
cana-5221	155	6	computing	computing	NOUN
cana-5221	155	7	methodologies	methodology	NOUN
cana-5221	155	8	and	and	CCONJ
cana-5221	155	9	communication	communication	NOUN
cana-5221	155	10	(	(	PUNCT
cana-5221	155	11	iccmc	iccmc	NOUN
cana-5221	155	12	)	)	PUNCT
cana-5221	155	13	.	.	PUNCT
cana-5221	156	1	ieee	ieee	NOUN
cana-5221	156	2	,	,	PUNCT
cana-5221	156	3	2021	2021	NUM
cana-5221	156	4	.	.	PUNCT
cana-5221	157	1	[	[	X
cana-5221	157	2	7	7	NUM
cana-5221	157	3	]	]	PUNCT
cana-5221	157	4	ashraf	ashraf	NOUN
cana-5221	157	5	,	,	PUNCT
cana-5221	157	6	javed	javed	PROPN
cana-5221	157	7	,	,	PUNCT
cana-5221	157	8	et	et	PROPN
cana-5221	157	9	al	al	PROPN
cana-5221	157	10	.	.	PUNCT
cana-5221	158	1	"	"	PUNCT
cana-5221	158	2	novel	novel	ADJ
cana-5221	158	3	deep	deep	ADJ
cana-5221	158	4	learning	learning	NOUN
cana-5221	158	5	-	-	PUNCT
cana-5221	158	6	enabled	enable	VERB
cana-5221	158	7	lstm	lstm	ADJ
cana-5221	158	8	autoencoder	autoencoder	NOUN
cana-5221	158	9	architecture	architecture	NOUN
cana-5221	158	10	for	for	ADP
cana-5221	158	11	discovering	discover	VERB
cana-5221	158	12	anomalous	anomalous	ADJ
cana-5221	158	13	events	event	NOUN
cana-5221	158	14	from	from	ADP
cana-5221	158	15	intelligent	intelligent	ADJ
cana-5221	158	16	transportation	transportation	NOUN
cana-5221	158	17	systems	system	NOUN
cana-5221	158	18	.	.	PUNCT
cana-5221	158	19	"	"	PUNCT
cana-5221	159	1	ieee	ieee	NOUN
cana-5221	159	2	transactions	transaction	NOUN
cana-5221	159	3	on	on	ADP
cana-5221	159	4	intelligent	intelligent	ADJ
cana-5221	159	5	transportation	transportation	NOUN
cana-5221	159	6	systems	system	NOUN
cana-5221	159	7	(	(	PUNCT
cana-5221	159	8	2020	2020	NUM
cana-5221	159	9	)	)	PUNCT
cana-5221	159	10	.	.	PUNCT
cana-5221	160	1	[	[	X
cana-5221	160	2	8	8	NUM
cana-5221	160	3	]	]	X
cana-5221	160	4	al	al	PROPN
cana-5221	160	5	-	-	PUNCT
cana-5221	160	6	emadi	emadi	ADJ
cana-5221	160	7	,	,	PUNCT
cana-5221	160	8	sara	sara	PROPN
cana-5221	160	9	,	,	PUNCT
cana-5221	160	10	aisha	aisha	PROPN
cana-5221	160	11	al	al	PROPN
cana-5221	160	12	-	-	PUNCT
cana-5221	160	13	mohannadi	mohannadi	PROPN
cana-5221	160	14	,	,	PUNCT
cana-5221	160	15	and	and	CCONJ
cana-5221	160	16	felwa	felwa	PROPN
cana-5221	160	17	al	al	PROPN
cana-5221	160	18	-	-	PUNCT
cana-5221	160	19	senaid	senaid	NOUN
cana-5221	160	20	.	.	PUNCT
cana-5221	161	1	"	"	PUNCT
cana-5221	161	2	using	use	VERB
cana-5221	161	3	deep	deep	ADJ
cana-5221	161	4	learning	learning	NOUN
cana-5221	161	5	techniques	technique	NOUN
cana-5221	161	6	for	for	ADP
cana-5221	161	7	network	network	NOUN
cana-5221	161	8	intrusion	intrusion	NOUN
cana-5221	161	9	detection	detection	NOUN
cana-5221	161	10	.	.	PUNCT
cana-5221	161	11	"	"	PUNCT
cana-5221	162	1	2020	2020	NUM
cana-5221	162	2	ieee	ieee	PROPN
cana-5221	162	3	international	international	ADJ
cana-5221	162	4	conference	conference	NOUN
cana-5221	162	5	on	on	ADP
cana-5221	162	6	informatics	informatics	PROPN
cana-5221	162	7	,	,	PUNCT
cana-5221	162	8	iot	iot	NOUN
cana-5221	162	9	,	,	PUNCT
cana-5221	162	10	and	and	CCONJ
cana-5221	162	11	enabling	enable	VERB
cana-5221	162	12	technologies	technology	NOUN
cana-5221	162	13	(	(	PUNCT
cana-5221	162	14	iciot	iciot	NOUN
cana-5221	162	15	)	)	PUNCT
cana-5221	162	16	.	.	PUNCT
cana-5221	163	1	ieee	ieee	PROPN
cana-5221	163	2	,	,	PUNCT
cana-5221	163	3	2020	2020	NUM
cana-5221	163	4	.	.	PUNCT
cana-5221	164	1	[	[	X
cana-5221	164	2	9	9	NUM
cana-5221	164	3	]	]	X
cana-5221	164	4	al	al	PROPN
cana-5221	164	5	makdi	makdi	PROPN
cana-5221	164	6	,	,	PUNCT
cana-5221	164	7	khalid	khalid	PROPN
cana-5221	164	8	,	,	PUNCT
cana-5221	164	9	frederick	frederick	PROPN
cana-5221	164	10	t.	t.	PROPN
cana-5221	164	11	sheldon	sheldon	PROPN
cana-5221	164	12	,	,	PUNCT
cana-5221	164	13	and	and	CCONJ
cana-5221	164	14	abdullah	abdullah	PROPN
cana-5221	164	15	abu	abu	PROPN
cana-5221	164	16	hussein	hussein	PROPN
cana-5221	164	17	.	.	PUNCT
cana-5221	165	1	"	"	PUNCT
cana-5221	165	2	trusted	trust	VERB
cana-5221	165	3	security	security	NOUN
cana-5221	165	4	model	model	NOUN
cana-5221	165	5	for	for	ADP
cana-5221	165	6	ids	id	NOUN
cana-5221	165	7	using	use	VERB
cana-5221	165	8	deep	deep	ADJ
cana-5221	165	9	learning	learning	NOUN
cana-5221	165	10	.	.	PUNCT
cana-5221	165	11	"	"	PUNCT
cana-5221	166	1	2020	2020	NUM
cana-5221	166	2	3rd	3rd	ADJ
cana-5221	166	3	international	international	ADJ
cana-5221	166	4	conference	conference	NOUN
cana-5221	166	5	on	on	ADP
cana-5221	166	6	signal	signal	ADJ
cana-5221	166	7	processing	processing	NOUN
cana-5221	166	8	and	and	CCONJ
cana-5221	166	9	information	information	NOUN
cana-5221	166	10	security	security	NOUN
cana-5221	166	11	(	(	PUNCT
cana-5221	166	12	icspis	icspis	ADJ
cana-5221	166	13	)	)	PUNCT
cana-5221	166	14	.	.	PUNCT
cana-5221	167	1	ieee	ieee	PROPN
cana-5221	167	2	,	,	PUNCT
cana-5221	167	3	2020	2020	NUM
cana-5221	167	4	.	.	PUNCT
cana-5221	168	1	[	[	X
cana-5221	168	2	10	10	NUM
cana-5221	168	3	]	]	PUNCT
cana-5221	168	4	ahmed	ahmed	PROPN
cana-5221	168	5	,	,	PUNCT
cana-5221	168	6	lubna	lubna	PROPN
cana-5221	168	7	ali	ali	PROPN
cana-5221	168	8	hassan	hassan	PROPN
cana-5221	168	9	,	,	PUNCT
cana-5221	168	10	and	and	CCONJ
cana-5221	168	11	yahia	yahia	PROPN
cana-5221	168	12	abdalla	abdalla	PROPN
cana-5221	168	13	mohamed	mohamed	PROPN
cana-5221	168	14	hamad	hamad	PROPN
cana-5221	168	15	.	.	PUNCT
cana-5221	169	1	"	"	PUNCT
cana-5221	169	2	machine	machine	NOUN
cana-5221	169	3	learning	learn	VERB
cana-5221	169	4	techniques	technique	NOUN
cana-5221	169	5	for	for	ADP
cana-5221	169	6	network	network	NOUN
cana-5221	169	7	-	-	PUNCT
cana-5221	169	8	based	base	VERB
cana-5221	169	9	intrusion	intrusion	NOUN
cana-5221	169	10	detection	detection	NOUN
cana-5221	169	11	system	system	NOUN
cana-5221	169	12	:	:	PUNCT
cana-5221	169	13	a	a	DET
cana-5221	169	14	survey	survey	NOUN
cana-5221	169	15	paper	paper	NOUN
cana-5221	169	16	.	.	PUNCT
cana-5221	169	17	"	"	PUNCT
cana-5221	170	1	2021	2021	NUM
cana-5221	170	2	national	national	ADJ
cana-5221	170	3	computing	computing	NOUN
cana-5221	170	4	colleges	college	NOUN
cana-5221	170	5	conference	conference	NOUN
cana-5221	170	6	(	(	PUNCT
cana-5221	170	7	nccc	nccc	NOUN
cana-5221	170	8	)	)	PUNCT
cana-5221	170	9	.	.	PUNCT
cana-5221	171	1	ieee	ieee	NOUN
cana-5221	171	2	,	,	PUNCT
cana-5221	171	3	2021	2021	NUM
cana-5221	171	4	.	.	PUNCT