id	sid	tid	token	lemma	pos
cana-777	1	1	communications	communication	NOUN
cana-777	1	2	on	on	ADP
cana-777	1	3	applied	apply	VERB
cana-777	1	4	nonlinear	nonlinear	ADJ
cana-777	1	5	analysis	analysis	NOUN
cana-777	1	6	issn	issn	NOUN
cana-777	1	7	:	:	PUNCT
cana-777	1	8	1074	1074	NUM
cana-777	1	9	-	-	PUNCT
cana-777	1	10	133x	133x	NUM
cana-777	1	11	vol	vol	NOUN
cana-777	1	12	31	31	NUM
cana-777	1	13	no	no	NOUN
cana-777	1	14	.	.	PUNCT
cana-777	2	1	3s	3s	NUM
cana-777	2	2	(	(	PUNCT
cana-777	2	3	2024	2024	NUM
cana-777	2	4	)	)	PUNCT
cana-777	2	5	336	336	NUM
cana-777	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	2	7	network	network	NOUN
cana-777	2	8	intrusion	intrusion	NOUN
cana-777	2	9	detection	detection	NOUN
cana-777	2	10	utilizing	utilize	VERB
cana-777	2	11	autoencoder	autoencoder	NOUN
cana-777	2	12	neural	neural	ADJ
cana-777	2	13	networks	network	NOUN
cana-777	2	14	zakiya	zakiya	PROPN
cana-777	2	15	manzoor	manzoor	PROPN
cana-777	2	16	khan	khan	PROPN
cana-777	2	17	department	department	PROPN
cana-777	2	18	of	of	ADP
cana-777	2	19	computer	computer	NOUN
cana-777	2	20	science	science	NOUN
cana-777	2	21	and	and	CCONJ
cana-777	2	22	engineering	engineering	NOUN
cana-777	2	23	lovely	lovely	ADJ
cana-777	2	24	professional	professional	ADJ
cana-777	2	25	university	university	NOUN
cana-777	2	26	phagwara	phagwara	NOUN
cana-777	2	27	,	,	PUNCT
cana-777	2	28	jalandhar	jalandhar	PROPN
cana-777	2	29	,	,	PUNCT
cana-777	2	30	punjab	punjab	ADJ
cana-777	2	31	zakiyamanzoorkhan@gmail.com	zakiyamanzoorkhan@gmail.com	NOUN
cana-777	2	32	article	article	NOUN
cana-777	2	33	history	history	NOUN
cana-777	2	34	:	:	PUNCT
cana-777	2	35	received	receive	VERB
cana-777	2	36	:	:	PUNCT
cana-777	2	37	12	12	NUM
cana-777	2	38	-	-	PUNCT
cana-777	2	39	04	04	NUM
cana-777	2	40	-	-	PUNCT
cana-777	2	41	2024	2024	NUM
cana-777	2	42	revised	revise	VERB
cana-777	2	43	:	:	PUNCT
cana-777	2	44	25	25	NUM
cana-777	2	45	-	-	PUNCT
cana-777	2	46	05	05	NUM
cana-777	2	47	-	-	PUNCT
cana-777	2	48	2024	2024	NUM
cana-777	2	49	accepted	accept	VERB
cana-777	2	50	:	:	PUNCT
cana-777	2	51	14	14	NUM
cana-777	2	52	-	-	SYM
cana-777	2	53	06	06	NUM
cana-777	2	54	-	-	PUNCT
cana-777	2	55	2024	2024	NUM
cana-777	2	56	abstract	abstract	NOUN
cana-777	2	57	:	:	PUNCT
cana-777	2	58	in	in	ADP
cana-777	2	59	today	today	NOUN
cana-777	2	60	's	's	PART
cana-777	2	61	interconnected	interconnected	ADJ
cana-777	2	62	digital	digital	ADJ
cana-777	2	63	landscape	landscape	NOUN
cana-777	2	64	,	,	PUNCT
cana-777	2	65	protecting	protect	VERB
cana-777	2	66	computer	computer	NOUN
cana-777	2	67	networks	network	NOUN
cana-777	2	68	from	from	ADP
cana-777	2	69	unauthorized	unauthorized	ADJ
cana-777	2	70	access	access	NOUN
cana-777	2	71	and	and	CCONJ
cana-777	2	72	cyber	cyber	NOUN
cana-777	2	73	threats	threat	NOUN
cana-777	2	74	is	be	AUX
cana-777	2	75	critically	critically	ADV
cana-777	2	76	important	important	ADJ
cana-777	2	77	.	.	PUNCT
cana-777	3	1	network	network	NOUN
cana-777	3	2	intrusion	intrusion	PROPN
cana-777	3	3	detection	detection	NOUN
cana-777	3	4	systems	system	NOUN
cana-777	3	5	(	(	PUNCT
cana-777	3	6	nids	nid	NOUN
cana-777	3	7	)	)	PUNCT
cana-777	3	8	play	play	VERB
cana-777	3	9	a	a	DET
cana-777	3	10	vital	vital	ADJ
cana-777	3	11	role	role	NOUN
cana-777	3	12	in	in	ADP
cana-777	3	13	identifying	identify	VERB
cana-777	3	14	and	and	CCONJ
cana-777	3	15	mitigating	mitigate	VERB
cana-777	3	16	potential	potential	ADJ
cana-777	3	17	security	security	NOUN
cana-777	3	18	breaches	breach	NOUN
cana-777	3	19	.	.	PUNCT
cana-777	4	1	this	this	DET
cana-777	4	2	research	research	NOUN
cana-777	4	3	paper	paper	NOUN
cana-777	4	4	examines	examine	VERB
cana-777	4	5	the	the	DET
cana-777	4	6	use	use	NOUN
cana-777	4	7	of	of	ADP
cana-777	4	8	autoencoder	autoencoder	NOUN
cana-777	4	9	neural	neural	ADJ
cana-777	4	10	networks	network	NOUN
cana-777	4	11	,	,	PUNCT
cana-777	4	12	a	a	DET
cana-777	4	13	subset	subset	NOUN
cana-777	4	14	of	of	ADP
cana-777	4	15	deep	deep	ADJ
cana-777	4	16	learning	learning	NOUN
cana-777	4	17	techniques	technique	NOUN
cana-777	4	18	,	,	PUNCT
cana-777	4	19	in	in	ADP
cana-777	4	20	the	the	DET
cana-777	4	21	field	field	NOUN
cana-777	4	22	of	of	ADP
cana-777	4	23	network	network	NOUN
cana-777	4	24	intrusion	intrusion	NOUN
cana-777	4	25	detection.autoencoder	detection.autoencoder	PROPN
cana-777	4	26	neural	neural	ADJ
cana-777	4	27	networks	network	NOUN
cana-777	4	28	are	be	AUX
cana-777	4	29	renowned	renowned	ADJ
cana-777	4	30	for	for	ADP
cana-777	4	31	their	their	PRON
cana-777	4	32	ability	ability	NOUN
cana-777	4	33	to	to	PART
cana-777	4	34	learn	learn	VERB
cana-777	4	35	and	and	CCONJ
cana-777	4	36	represent	represent	VERB
cana-777	4	37	data	datum	NOUN
cana-777	4	38	in	in	ADP
cana-777	4	39	a	a	DET
cana-777	4	40	compressed	compressed	ADJ
cana-777	4	41	,	,	PUNCT
cana-777	4	42	low	low	ADJ
cana-777	4	43	-	-	PUNCT
cana-777	4	44	dimensional	dimensional	ADJ
cana-777	4	45	form	form	NOUN
cana-777	4	46	.	.	PUNCT
cana-777	5	1	this	this	DET
cana-777	5	2	study	study	NOUN
cana-777	5	3	explores	explore	VERB
cana-777	5	4	their	their	PRON
cana-777	5	5	potential	potential	NOUN
cana-777	5	6	to	to	PART
cana-777	5	7	model	model	NOUN
cana-777	5	8	network	network	NOUN
cana-777	5	9	traffic	traffic	NOUN
cana-777	5	10	patterns	pattern	NOUN
cana-777	5	11	and	and	CCONJ
cana-777	5	12	identify	identify	VERB
cana-777	5	13	anomalous	anomalous	ADJ
cana-777	5	14	activities	activity	NOUN
cana-777	5	15	.	.	PUNCT
cana-777	6	1	by	by	ADP
cana-777	6	2	training	train	VERB
cana-777	6	3	autoencoder	autoencoder	NOUN
cana-777	6	4	networks	network	NOUN
cana-777	6	5	on	on	ADP
cana-777	6	6	both	both	CCONJ
cana-777	6	7	normal	normal	ADJ
cana-777	6	8	and	and	CCONJ
cana-777	6	9	malicious	malicious	ADJ
cana-777	6	10	network	network	NOUN
cana-777	6	11	traffic	traffic	NOUN
cana-777	6	12	data	datum	NOUN
cana-777	6	13	,	,	PUNCT
cana-777	6	14	we	we	PRON
cana-777	6	15	aim	aim	VERB
cana-777	6	16	to	to	PART
cana-777	6	17	develop	develop	VERB
cana-777	6	18	effective	effective	ADJ
cana-777	6	19	intrusion	intrusion	NOUN
cana-777	6	20	detection	detection	NOUN
cana-777	6	21	models	model	NOUN
cana-777	6	22	capable	capable	ADJ
cana-777	6	23	of	of	ADP
cana-777	6	24	distinguishing	distinguish	VERB
cana-777	6	25	between	between	ADP
cana-777	6	26	benign	benign	ADJ
cana-777	6	27	and	and	CCONJ
cana-777	6	28	malicious	malicious	ADJ
cana-777	6	29	network	network	NOUN
cana-777	6	30	behavior.the	behavior.the	DET
cana-777	6	31	paper	paper	NOUN
cana-777	6	32	provides	provide	VERB
cana-777	6	33	a	a	DET
cana-777	6	34	comprehensive	comprehensive	ADJ
cana-777	6	35	analysis	analysis	NOUN
cana-777	6	36	of	of	ADP
cana-777	6	37	the	the	DET
cana-777	6	38	architecture	architecture	NOUN
cana-777	6	39	and	and	CCONJ
cana-777	6	40	training	training	NOUN
cana-777	6	41	methodologies	methodology	NOUN
cana-777	6	42	of	of	ADP
cana-777	6	43	autoencoder	autoencoder	NOUN
cana-777	6	44	neural	neural	ADJ
cana-777	6	45	networks	network	NOUN
cana-777	6	46	for	for	ADP
cana-777	6	47	intrusion	intrusion	NOUN
cana-777	6	48	detection	detection	NOUN
cana-777	6	49	.	.	PUNCT
cana-777	7	1	it	it	PRON
cana-777	7	2	also	also	ADV
cana-777	7	3	investigates	investigate	VERB
cana-777	7	4	various	various	ADJ
cana-777	7	5	data	datum	NOUN
cana-777	7	6	preprocessing	preprocesse	VERB
cana-777	7	7	techniques	technique	NOUN
cana-777	7	8	and	and	CCONJ
cana-777	7	9	feature	feature	NOUN
cana-777	7	10	engineering	engineering	NOUN
cana-777	7	11	approaches	approach	NOUN
cana-777	7	12	to	to	PART
cana-777	7	13	improve	improve	VERB
cana-777	7	14	the	the	DET
cana-777	7	15	model	model	NOUN
cana-777	7	16	's	's	PART
cana-777	7	17	performance	performance	NOUN
cana-777	7	18	.	.	PUNCT
cana-777	8	1	additionally	additionally	ADV
cana-777	8	2	,	,	PUNCT
cana-777	8	3	the	the	DET
cana-777	8	4	research	research	NOUN
cana-777	8	5	assesses	assess	VERB
cana-777	8	6	the	the	DET
cana-777	8	7	robustness	robustness	NOUN
cana-777	8	8	and	and	CCONJ
cana-777	8	9	scalability	scalability	NOUN
cana-777	8	10	of	of	ADP
cana-777	8	11	autoencoder	autoencoder	NOUN
cana-777	8	12	-	-	PUNCT
cana-777	8	13	based	base	VERB
cana-777	8	14	nids	nid	NOUN
cana-777	8	15	in	in	ADP
cana-777	8	16	real	real	ADJ
cana-777	8	17	-	-	PUNCT
cana-777	8	18	world	world	NOUN
cana-777	8	19	network	network	NOUN
cana-777	8	20	environments.ethical	environments.ethical	ADJ
cana-777	8	21	considerations	consideration	NOUN
cana-777	8	22	in	in	ADP
cana-777	8	23	network	network	NOUN
cana-777	8	24	intrusion	intrusion	NOUN
cana-777	8	25	detection	detection	NOUN
cana-777	8	26	,	,	PUNCT
cana-777	8	27	including	include	VERB
cana-777	8	28	privacy	privacy	NOUN
cana-777	8	29	concerns	concern	NOUN
cana-777	8	30	and	and	CCONJ
cana-777	8	31	false	false	ADJ
cana-777	8	32	positive	positive	ADJ
cana-777	8	33	rates	rate	NOUN
cana-777	8	34	,	,	PUNCT
cana-777	8	35	are	be	AUX
cana-777	8	36	also	also	ADV
cana-777	8	37	discussed	discuss	VERB
cana-777	8	38	.	.	PUNCT
cana-777	9	1	this	this	DET
cana-777	9	2	approach	approach	NOUN
cana-777	9	3	ensures	ensure	VERB
cana-777	9	4	a	a	DET
cana-777	9	5	balanced	balanced	ADJ
cana-777	9	6	methodology	methodology	NOUN
cana-777	9	7	that	that	PRON
cana-777	9	8	secures	secure	VERB
cana-777	9	9	networks	network	NOUN
cana-777	9	10	while	while	SCONJ
cana-777	9	11	respecting	respect	VERB
cana-777	9	12	user	user	NOUN
cana-777	9	13	privacy	privacy	NOUN
cana-777	9	14	and	and	CCONJ
cana-777	9	15	minimizing	minimize	VERB
cana-777	9	16	disruptions	disruption	NOUN
cana-777	9	17	.	.	PUNCT
cana-777	10	1	by	by	ADP
cana-777	10	2	compressing	compress	VERB
cana-777	10	3	majority	majority	NOUN
cana-777	10	4	samples	sample	NOUN
cana-777	10	5	and	and	CCONJ
cana-777	10	6	increasing	increase	VERB
cana-777	10	7	the	the	DET
cana-777	10	8	minority	minority	NOUN
cana-777	10	9	sample	sample	NOUN
cana-777	10	10	count	count	NOUN
cana-777	10	11	in	in	ADP
cana-777	10	12	challenging	challenge	VERB
cana-777	10	13	scenarios	scenario	NOUN
cana-777	10	14	,	,	PUNCT
cana-777	10	15	the	the	DET
cana-777	10	16	ids	id	NOUN
cana-777	10	17	achieves	achieve	VERB
cana-777	10	18	higher	high	ADJ
cana-777	10	19	classification	classification	NOUN
cana-777	10	20	accuracy	accuracy	NOUN
cana-777	10	21	.	.	PUNCT
cana-777	11	1	keywords	keyword	NOUN
cana-777	11	2	:	:	PUNCT
cana-777	11	3	intrusion	intrusion	NOUN
cana-777	11	4	detection;autoencode	detection;autoencode	PROPN
cana-777	11	5	neural	neural	ADJ
cana-777	11	6	network	network	NOUN
cana-777	11	7	;	;	PUNCT
cana-777	11	8	machine	machine	NOUN
cana-777	11	9	learning	learning	NOUN
cana-777	11	10	;	;	PUNCT
cana-777	11	11	difficult	difficult	ADJ
cana-777	11	12	set	set	ADJ
cana-777	11	13	sampling	sampling	NOUN
cana-777	11	14	technique	technique	NOUN
cana-777	11	15	.	.	PUNCT
cana-777	12	1	1	1	NUM
cana-777	12	2	introduction	introduction	NOUN
cana-777	12	3	in	in	ADP
cana-777	12	4	an	an	DET
cana-777	12	5	era	era	NOUN
cana-777	12	6	where	where	SCONJ
cana-777	12	7	the	the	DET
cana-777	12	8	digital	digital	ADJ
cana-777	12	9	realm	realm	NOUN
cana-777	12	10	pervades	pervade	VERB
cana-777	12	11	every	every	DET
cana-777	12	12	aspect	aspect	NOUN
cana-777	12	13	of	of	ADP
cana-777	12	14	modern	modern	ADJ
cana-777	12	15	life	life	NOUN
cana-777	12	16	,	,	PUNCT
cana-777	12	17	the	the	DET
cana-777	12	18	security	security	NOUN
cana-777	12	19	and	and	CCONJ
cana-777	12	20	integrity	integrity	NOUN
cana-777	12	21	of	of	ADP
cana-777	12	22	computer	computer	NOUN
cana-777	12	23	networks	network	NOUN
cana-777	12	24	have	have	AUX
cana-777	12	25	never	never	ADV
cana-777	12	26	been	be	AUX
cana-777	12	27	more	more	ADV
cana-777	12	28	critical	critical	ADJ
cana-777	12	29	.	.	PUNCT
cana-777	13	1	cyber	cyber	ADJ
cana-777	13	2	threats	threat	NOUN
cana-777	13	3	and	and	CCONJ
cana-777	13	4	intrusions	intrusion	NOUN
cana-777	13	5	pose	pose	VERB
cana-777	13	6	a	a	DET
cana-777	13	7	constant	constant	ADJ
cana-777	13	8	challenge	challenge	NOUN
cana-777	13	9	to	to	ADP
cana-777	13	10	organizations	organization	NOUN
cana-777	13	11	and	and	CCONJ
cana-777	13	12	individuals	individual	NOUN
cana-777	13	13	alike	alike	ADV
cana-777	13	14	.	.	PUNCT
cana-777	14	1	nids	nid	NOUN
cana-777	14	2	are	be	AUX
cana-777	14	3	indispensable	indispensable	ADJ
cana-777	14	4	guardians	guardian	NOUN
cana-777	14	5	,	,	PUNCT
cana-777	14	6	continuously	continuously	ADV
cana-777	14	7	monitoring	monitor	VERB
cana-777	14	8	network	network	NOUN
cana-777	14	9	traffic	traffic	NOUN
cana-777	14	10	to	to	PART
cana-777	14	11	detect	detect	VERB
cana-777	14	12	and	and	CCONJ
cana-777	14	13	thwart	thwart	VERB
cana-777	14	14	unauthorized	unauthorized	ADJ
cana-777	14	15	access	access	NOUN
cana-777	14	16	,	,	PUNCT
cana-777	14	17	suspicious	suspicious	ADJ
cana-777	14	18	activities	activity	NOUN
cana-777	14	19	,	,	PUNCT
cana-777	14	20	and	and	CCONJ
cana-777	14	21	potential	potential	ADJ
cana-777	14	22	breaches	breach	NOUN
cana-777	14	23	.	.	PUNCT
cana-777	15	1	traditional	traditional	ADJ
cana-777	15	2	nids	nid	NOUN
cana-777	15	3	rely	rely	VERB
cana-777	15	4	on	on	ADP
cana-777	15	5	rule	rule	NOUN
cana-777	15	6	-	-	PUNCT
cana-777	15	7	based	base	VERB
cana-777	15	8	methods	method	NOUN
cana-777	15	9	and	and	CCONJ
cana-777	15	10	signature	signature	NOUN
cana-777	15	11	-	-	PUNCT
cana-777	15	12	based	base	VERB
cana-777	15	13	detection	detection	NOUN
cana-777	15	14	,	,	PUNCT
cana-777	15	15	making	make	VERB
cana-777	15	16	them	they	PRON
cana-777	15	17	vulnerable	vulnerable	ADJ
cana-777	15	18	to	to	ADP
cana-777	15	19	novel	novel	NOUN
cana-777	15	20	and	and	CCONJ
cana-777	15	21	sophisticated	sophisticated	ADJ
cana-777	15	22	attack	attack	NOUN
cana-777	15	23	vectors	vector	NOUN
cana-777	15	24	.	.	PUNCT
cana-777	16	1	consequently	consequently	ADV
cana-777	16	2	,	,	PUNCT
cana-777	16	3	there	there	PRON
cana-777	16	4	is	be	VERB
cana-777	16	5	an	an	DET
cana-777	16	6	urgent	urgent	ADJ
cana-777	16	7	need	need	NOUN
cana-777	16	8	for	for	ADP
cana-777	16	9	more	more	ADV
cana-777	16	10	adaptive	adaptive	ADJ
cana-777	16	11	and	and	CCONJ
cana-777	16	12	intelligent	intelligent	ADJ
cana-777	16	13	intrusion	intrusion	NOUN
cana-777	16	14	detection	detection	NOUN
cana-777	16	15	systems	system	NOUN
cana-777	16	16	capable	capable	ADJ
cana-777	16	17	of	of	ADP
cana-777	16	18	identifying	identify	VERB
cana-777	16	19	anomalies	anomaly	NOUN
cana-777	16	20	and	and	CCONJ
cana-777	16	21	emerging	emerge	VERB
cana-777	16	22	threats	threat	NOUN
cana-777	16	23	in	in	ADP
cana-777	16	24	real	real	ADJ
cana-777	16	25	time	time	NOUN
cana-777	16	26	.	.	PUNCT
cana-777	17	1	this	this	DET
cana-777	17	2	research	research	NOUN
cana-777	17	3	endeavors	endeavor	VERB
cana-777	17	4	to	to	PART
cana-777	17	5	address	address	VERB
cana-777	17	6	this	this	DET
cana-777	17	7	imperative	imperative	NOUN
cana-777	17	8	by	by	ADP
cana-777	17	9	delving	delve	VERB
cana-777	17	10	into	into	ADP
cana-777	17	11	the	the	DET
cana-777	17	12	innovative	innovative	ADJ
cana-777	17	13	domain	domain	NOUN
cana-777	17	14	of	of	ADP
cana-777	17	15	artificial	artificial	ADJ
cana-777	17	16	intelligence	intelligence	NOUN
cana-777	17	17	,	,	PUNCT
cana-777	17	18	particularly	particularly	ADV
cana-777	17	19	the	the	DET
cana-777	17	20	application	application	NOUN
cana-777	17	21	of	of	ADP
cana-777	17	22	autoencoder	autoencoder	NOUN
cana-777	17	23	neural	neural	ADJ
cana-777	17	24	networks	network	NOUN
cana-777	17	25	,	,	PUNCT
cana-777	17	26	in	in	ADP
cana-777	17	27	network	network	NOUN
cana-777	17	28	intrusion	intrusion	NOUN
cana-777	17	29	detection	detection	NOUN
cana-777	17	30	.	.	PUNCT
cana-777	18	1	autoencoder	autoencoder	NOUN
cana-777	18	2	neural	neural	ADJ
cana-777	18	3	networks	network	NOUN
cana-777	18	4	have	have	AUX
cana-777	18	5	demonstrated	demonstrate	VERB
cana-777	18	6	remarkable	remarkable	ADJ
cana-777	18	7	capabilities	capability	NOUN
cana-777	18	8	in	in	ADP
cana-777	18	9	various	various	ADJ
cana-777	18	10	fields	field	NOUN
cana-777	18	11	,	,	PUNCT
cana-777	18	12	including	include	VERB
cana-777	18	13	computer	computer	NOUN
cana-777	18	14	vision	vision	NOUN
cana-777	18	15	and	and	CCONJ
cana-777	18	16	natural	natural	ADJ
cana-777	18	17	language	language	NOUN
cana-777	18	18	processing	processing	NOUN
cana-777	18	19	,	,	PUNCT
cana-777	18	20	owing	owe	VERB
cana-777	18	21	to	to	ADP
cana-777	18	22	their	their	PRON
cana-777	18	23	capacity	capacity	NOUN
cana-777	18	24	to	to	PART
cana-777	18	25	learn	learn	VERB
cana-777	18	26	intrinsic	intrinsic	ADJ
cana-777	18	27	data	datum	NOUN
cana-777	18	28	representations	representation	NOUN
cana-777	18	29	.	.	PUNCT
cana-777	19	1	this	this	DET
cana-777	19	2	study	study	NOUN
cana-777	19	3	explores	explore	VERB
cana-777	19	4	the	the	DET
cana-777	19	5	potential	potential	NOUN
cana-777	19	6	of	of	ADP
cana-777	19	7	autoencoders	autoencoder	NOUN
cana-777	19	8	to	to	PART
cana-777	19	9	revolutionize	revolutionize	VERB
cana-777	19	10	the	the	DET
cana-777	19	11	landscape	landscape	NOUN
cana-777	19	12	communications	communication	NOUN
cana-777	19	13	on	on	ADP
cana-777	19	14	applied	apply	VERB
cana-777	19	15	nonlinear	nonlinear	ADJ
cana-777	19	16	analysis	analysis	NOUN
cana-777	19	17	issn	issn	NOUN
cana-777	19	18	:	:	PUNCT
cana-777	19	19	1074	1074	NUM
cana-777	19	20	-	-	PUNCT
cana-777	19	21	133x	133x	NUM
cana-777	19	22	vol	vol	NOUN
cana-777	19	23	31	31	NUM
cana-777	19	24	no	no	NOUN
cana-777	19	25	.	.	PUNCT
cana-777	20	1	3s	3s	NUM
cana-777	20	2	(	(	PUNCT
cana-777	20	3	2024	2024	NUM
cana-777	20	4	)	)	PUNCT
cana-777	20	5	337	337	NUM
cana-777	20	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	20	7	of	of	ADP
cana-777	20	8	intrusion	intrusion	NOUN
cana-777	20	9	detection	detection	NOUN
cana-777	20	10	by	by	ADP
cana-777	20	11	harnessing	harness	VERB
cana-777	20	12	their	their	PRON
cana-777	20	13	ability	ability	NOUN
cana-777	20	14	to	to	PART
cana-777	20	15	model	model	VERB
cana-777	20	16	complex	complex	ADJ
cana-777	20	17	patterns	pattern	NOUN
cana-777	20	18	and	and	CCONJ
cana-777	20	19	anomalies	anomaly	NOUN
cana-777	20	20	in	in	ADP
cana-777	20	21	network	network	NOUN
cana-777	20	22	traffic	traffic	NOUN
cana-777	20	23	data	datum	NOUN
cana-777	20	24	.	.	PUNCT
cana-777	21	1	the	the	DET
cana-777	21	2	primary	primary	ADJ
cana-777	21	3	objective	objective	NOUN
cana-777	21	4	of	of	ADP
cana-777	21	5	this	this	DET
cana-777	21	6	research	research	NOUN
cana-777	21	7	is	be	AUX
cana-777	21	8	to	to	PART
cana-777	21	9	develop	develop	VERB
cana-777	21	10	a	a	DET
cana-777	21	11	robust	robust	ADJ
cana-777	21	12	and	and	CCONJ
cana-777	21	13	adaptive	adaptive	ADJ
cana-777	21	14	network	network	NOUN
cana-777	21	15	intrusion	intrusion	NOUN
cana-777	21	16	detection	detection	NOUN
cana-777	21	17	system	system	NOUN
cana-777	21	18	based	base	VERB
cana-777	21	19	on	on	ADP
cana-777	21	20	autoencoder	autoencoder	PROPN
cana-777	21	21	neural	neural	ADJ
cana-777	21	22	networks	network	NOUN
cana-777	21	23	.	.	PUNCT
cana-777	22	1	by	by	ADP
cana-777	22	2	training	train	VERB
cana-777	22	3	these	these	DET
cana-777	22	4	networks	network	NOUN
cana-777	22	5	on	on	ADP
cana-777	22	6	a	a	DET
cana-777	22	7	diverse	diverse	ADJ
cana-777	22	8	dataset	dataset	NOUN
cana-777	22	9	comprising	comprise	VERB
cana-777	22	10	normal	normal	ADJ
cana-777	22	11	and	and	CCONJ
cana-777	22	12	malicious	malicious	ADJ
cana-777	22	13	network	network	NOUN
cana-777	22	14	traffic	traffic	NOUN
cana-777	22	15	,	,	PUNCT
cana-777	22	16	we	we	PRON
cana-777	22	17	aim	aim	VERB
cana-777	22	18	to	to	PART
cana-777	22	19	create	create	VERB
cana-777	22	20	models	model	NOUN
cana-777	22	21	that	that	PRON
cana-777	22	22	can	can	AUX
cana-777	22	23	autonomously	autonomously	ADV
cana-777	22	24	distinguish	distinguish	VERB
cana-777	22	25	between	between	ADP
cana-777	22	26	legitimate	legitimate	ADJ
cana-777	22	27	network	network	NOUN
cana-777	22	28	behavior	behavior	NOUN
cana-777	22	29	and	and	CCONJ
cana-777	22	30	potential	potential	ADJ
cana-777	22	31	threats	threat	NOUN
cana-777	22	32	.	.	PUNCT
cana-777	23	1	the	the	DET
cana-777	23	2	approach	approach	NOUN
cana-777	23	3	is	be	AUX
cana-777	23	4	rooted	root	VERB
cana-777	23	5	in	in	ADP
cana-777	23	6	the	the	DET
cana-777	23	7	idea	idea	NOUN
cana-777	23	8	that	that	SCONJ
cana-777	23	9	anomalies	anomaly	NOUN
cana-777	23	10	in	in	ADP
cana-777	23	11	network	network	NOUN
cana-777	23	12	traffic	traffic	NOUN
cana-777	23	13	can	can	AUX
cana-777	23	14	manifest	manifest	VERB
cana-777	23	15	as	as	ADP
cana-777	23	16	deviations	deviation	NOUN
cana-777	23	17	from	from	ADP
cana-777	23	18	established	establish	VERB
cana-777	23	19	patterns	pattern	NOUN
cana-777	23	20	,	,	PUNCT
cana-777	23	21	which	which	DET
cana-777	23	22	autoencoders	autoencoder	NOUN
cana-777	23	23	excel	excel	VERB
cana-777	23	24	at	at	ADP
cana-777	23	25	capturing	capture	VERB
cana-777	23	26	.	.	PUNCT
cana-777	24	1	this	this	DET
cana-777	24	2	paper	paper	NOUN
cana-777	24	3	unfolds	unfold	VERB
cana-777	24	4	the	the	DET
cana-777	24	5	intricacies	intricacy	NOUN
cana-777	24	6	of	of	ADP
cana-777	24	7	autoencoder	autoencoder	NOUN
cana-777	24	8	-	-	PUNCT
cana-777	24	9	based	base	VERB
cana-777	24	10	nids	nid	NOUN
cana-777	24	11	,	,	PUNCT
cana-777	24	12	starting	start	VERB
cana-777	24	13	with	with	ADP
cana-777	24	14	an	an	DET
cana-777	24	15	in	in	ADP
cana-777	24	16	-	-	PUNCT
cana-777	24	17	depth	depth	NOUN
cana-777	24	18	examination	examination	NOUN
cana-777	24	19	of	of	ADP
cana-777	24	20	autoencoder	autoencoder	NOUN
cana-777	24	21	architectures	architecture	NOUN
cana-777	24	22	,	,	PUNCT
cana-777	24	23	training	training	NOUN
cana-777	24	24	methodologies	methodology	NOUN
cana-777	24	25	,	,	PUNCT
cana-777	24	26	and	and	CCONJ
cana-777	24	27	data	datum	NOUN
cana-777	24	28	preprocessing	preprocesse	VERB
cana-777	24	29	techniques	technique	NOUN
cana-777	24	30	tailored	tailor	VERB
cana-777	24	31	to	to	ADP
cana-777	24	32	the	the	DET
cana-777	24	33	unique	unique	ADJ
cana-777	24	34	requirements	requirement	NOUN
cana-777	24	35	of	of	ADP
cana-777	24	36	intrusion	intrusion	NOUN
cana-777	24	37	detection	detection	NOUN
cana-777	24	38	.	.	PUNCT
cana-777	25	1	real	real	ADJ
cana-777	25	2	-	-	PUNCT
cana-777	25	3	world	world	NOUN
cana-777	25	4	applicability	applicability	NOUN
cana-777	25	5	is	be	AUX
cana-777	25	6	also	also	ADV
cana-777	25	7	a	a	DET
cana-777	25	8	central	central	ADJ
cana-777	25	9	concern	concern	NOUN
cana-777	25	10	,	,	PUNCT
cana-777	25	11	and	and	CCONJ
cana-777	25	12	the	the	DET
cana-777	25	13	research	research	NOUN
cana-777	25	14	evaluates	evaluate	VERB
cana-777	25	15	the	the	DET
cana-777	25	16	performance	performance	NOUN
cana-777	25	17	and	and	CCONJ
cana-777	25	18	scalability	scalability	NOUN
cana-777	25	19	of	of	ADP
cana-777	25	20	autoencoder	autoencoder	NOUN
cana-777	25	21	-	-	PUNCT
cana-777	25	22	based	base	VERB
cana-777	25	23	nids	nid	NOUN
cana-777	25	24	in	in	ADP
cana-777	25	25	practical	practical	ADJ
cana-777	25	26	network	network	NOUN
cana-777	25	27	environments	environment	NOUN
cana-777	25	28	.	.	PUNCT
cana-777	26	1	moreover	moreover	ADV
cana-777	26	2	,	,	PUNCT
cana-777	26	3	ethical	ethical	ADJ
cana-777	26	4	considerations	consideration	NOUN
cana-777	26	5	loom	loom	VERB
cana-777	26	6	large	large	ADJ
cana-777	26	7	in	in	ADP
cana-777	26	8	the	the	DET
cana-777	26	9	realm	realm	NOUN
cana-777	26	10	of	of	ADP
cana-777	26	11	intrusion	intrusion	NOUN
cana-777	26	12	detection	detection	NOUN
cana-777	26	13	.	.	PUNCT
cana-777	27	1	privacy	privacy	NOUN
cana-777	27	2	concerns	concern	NOUN
cana-777	27	3	and	and	CCONJ
cana-777	27	4	the	the	DET
cana-777	27	5	balance	balance	NOUN
cana-777	27	6	between	between	ADP
cana-777	27	7	security	security	NOUN
cana-777	27	8	and	and	CCONJ
cana-777	27	9	individual	individual	ADJ
cana-777	27	10	rights	right	NOUN
cana-777	27	11	are	be	AUX
cana-777	27	12	pressing	press	VERB
cana-777	27	13	issues	issue	NOUN
cana-777	27	14	that	that	PRON
cana-777	27	15	must	must	AUX
cana-777	27	16	be	be	AUX
cana-777	27	17	navigated	navigate	VERB
cana-777	27	18	thoughtfully	thoughtfully	ADV
cana-777	27	19	.	.	PUNCT
cana-777	28	1	this	this	DET
cana-777	28	2	study	study	NOUN
cana-777	28	3	incorporates	incorporate	VERB
cana-777	28	4	discussions	discussion	NOUN
cana-777	28	5	on	on	ADP
cana-777	28	6	the	the	DET
cana-777	28	7	ethical	ethical	ADJ
cana-777	28	8	implications	implication	NOUN
cana-777	28	9	of	of	ADP
cana-777	28	10	intrusion	intrusion	NOUN
cana-777	28	11	detection	detection	NOUN
cana-777	28	12	using	use	VERB
cana-777	28	13	autoencoders	autoencoder	NOUN
cana-777	28	14	and	and	CCONJ
cana-777	28	15	explores	explore	NOUN
cana-777	28	16	strategies	strategy	NOUN
cana-777	28	17	for	for	ADP
cana-777	28	18	minimizing	minimize	VERB
cana-777	28	19	false	false	ADJ
cana-777	28	20	positives	positive	NOUN
cana-777	28	21	,	,	PUNCT
cana-777	28	22	preserving	preserve	VERB
cana-777	28	23	user	user	NOUN
cana-777	28	24	privacy	privacy	NOUN
cana-777	28	25	,	,	PUNCT
cana-777	28	26	and	and	CCONJ
cana-777	28	27	maintaining	maintain	VERB
cana-777	28	28	network	network	NOUN
cana-777	28	29	integrity	integrity	NOUN
cana-777	28	30	.	.	PUNCT
cana-777	29	1	the	the	DET
cana-777	29	2	research	research	NOUN
cana-777	29	3	presented	present	VERB
cana-777	29	4	here	here	ADV
cana-777	29	5	represents	represent	VERB
cana-777	29	6	a	a	DET
cana-777	29	7	significant	significant	ADJ
cana-777	29	8	step	step	NOUN
cana-777	29	9	forward	forward	ADV
cana-777	29	10	in	in	ADP
cana-777	29	11	the	the	DET
cana-777	29	12	quest	quest	NOUN
cana-777	29	13	for	for	ADP
cana-777	29	14	more	more	ADV
cana-777	29	15	adaptive	adaptive	ADJ
cana-777	29	16	,	,	PUNCT
cana-777	29	17	intelligent	intelligent	ADJ
cana-777	29	18	,	,	PUNCT
cana-777	29	19	and	and	CCONJ
cana-777	29	20	efficient	efficient	ADJ
cana-777	29	21	nids	nid	NOUN
cana-777	29	22	.	.	PUNCT
cana-777	30	1	by	by	ADP
cana-777	30	2	leveraging	leverage	VERB
cana-777	30	3	the	the	DET
cana-777	30	4	power	power	NOUN
cana-777	30	5	of	of	ADP
cana-777	30	6	autoencoder	autoencoder	PROPN
cana-777	30	7	neural	neural	ADJ
cana-777	30	8	networks	network	NOUN
cana-777	30	9	,	,	PUNCT
cana-777	30	10	we	we	PRON
cana-777	30	11	seek	seek	VERB
cana-777	30	12	to	to	PART
cana-777	30	13	enhance	enhance	VERB
cana-777	30	14	the	the	DET
cana-777	30	15	security	security	NOUN
cana-777	30	16	of	of	ADP
cana-777	30	17	networked	networked	ADJ
cana-777	30	18	systems	system	NOUN
cana-777	30	19	,	,	PUNCT
cana-777	30	20	protect	protect	VERB
cana-777	30	21	sensitive	sensitive	ADJ
cana-777	30	22	data	datum	NOUN
cana-777	30	23	,	,	PUNCT
cana-777	30	24	and	and	CCONJ
cana-777	30	25	mitigate	mitigate	VERB
cana-777	30	26	the	the	DET
cana-777	30	27	ever	ever	ADV
cana-777	30	28	-	-	PUNCT
cana-777	30	29	evolving	evolve	VERB
cana-777	30	30	landscape	landscape	NOUN
cana-777	30	31	of	of	ADP
cana-777	30	32	cyber	cyber	PROPN
cana-777	30	33	threats	threat	NOUN
cana-777	30	34	.	.	PUNCT
cana-777	31	1	intrusion	intrusion	NOUN
cana-777	31	2	detection	detection	NOUN
cana-777	31	3	entails	entail	VERB
cana-777	31	4	the	the	DET
cana-777	31	5	continuous	continuous	ADJ
cana-777	31	6	surveillance	surveillance	NOUN
cana-777	31	7	and	and	CCONJ
cana-777	31	8	examination	examination	NOUN
cana-777	31	9	of	of	ADP
cana-777	31	10	activities	activity	NOUN
cana-777	31	11	within	within	ADP
cana-777	31	12	a	a	DET
cana-777	31	13	computer	computer	NOUN
cana-777	31	14	or	or	CCONJ
cana-777	31	15	networked	networked	ADJ
cana-777	31	16	computer	computer	NOUN
cana-777	31	17	system	system	NOUN
cana-777	31	18	.	.	PUNCT
cana-777	32	1	its	its	PRON
cana-777	32	2	primary	primary	ADJ
cana-777	32	3	objective	objective	NOUN
cana-777	32	4	is	be	AUX
cana-777	32	5	to	to	PART
cana-777	32	6	identify	identify	VERB
cana-777	32	7	user	user	NOUN
cana-777	32	8	behaviors	behavior	NOUN
cana-777	32	9	that	that	PRON
cana-777	32	10	deviate	deviate	VERB
cana-777	32	11	from	from	ADP
cana-777	32	12	the	the	DET
cana-777	32	13	system	system	NOUN
cana-777	32	14	's	's	PART
cana-777	32	15	intended	intend	VERB
cana-777	32	16	usage	usage	NOUN
cana-777	32	17	.	.	PUNCT
cana-777	33	1	typically	typically	ADV
cana-777	33	2	positioned	position	VERB
cana-777	33	3	behind	behind	ADP
cana-777	33	4	the	the	DET
cana-777	33	5	network	network	NOUN
cana-777	33	6	's	's	PART
cana-777	33	7	firewall	firewall	NOUN
cana-777	33	8	,	,	PUNCT
cana-777	33	9	an	an	DET
cana-777	33	10	intrusion	intrusion	NOUN
cana-777	33	11	detection	detection	NOUN
cana-777	33	12	system	system	NOUN
cana-777	33	13	(	(	PUNCT
cana-777	33	14	ids	id	NOUN
cana-777	33	15	)	)	PUNCT
cana-777	33	16	,	,	PUNCT
cana-777	33	17	illustrated	illustrate	VERB
cana-777	33	18	in	in	ADP
cana-777	33	19	figure	figure	NOUN
cana-777	33	20	1	1	NUM
cana-777	33	21	,	,	PUNCT
cana-777	33	22	is	be	AUX
cana-777	33	23	responsible	responsible	ADJ
cana-777	33	24	for	for	ADP
cana-777	33	25	scrutinizing	scrutinize	VERB
cana-777	33	26	network	network	NOUN
cana-777	33	27	traffic	traffic	NOUN
cana-777	33	28	patterns	pattern	NOUN
cana-777	33	29	to	to	PART
cana-777	33	30	detect	detect	VERB
cana-777	33	31	potential	potential	ADJ
cana-777	33	32	instances	instance	NOUN
cana-777	33	33	of	of	ADP
cana-777	33	34	malicious	malicious	ADJ
cana-777	33	35	activity	activity	NOUN
cana-777	33	36	.	.	PUNCT
cana-777	34	1	consequently	consequently	ADV
cana-777	34	2	,	,	PUNCT
cana-777	34	3	idss	idss	ADV
cana-777	34	4	serve	serve	VERB
cana-777	34	5	as	as	ADP
cana-777	34	6	the	the	DET
cana-777	34	7	secondary	secondary	ADJ
cana-777	34	8	and	and	CCONJ
cana-777	34	9	ultimate	ultimate	ADJ
cana-777	34	10	layer	layer	NOUN
cana-777	34	11	of	of	ADP
cana-777	34	12	defense	defense	NOUN
cana-777	34	13	within	within	ADP
cana-777	34	14	a	a	DET
cana-777	34	15	secured	secure	VERB
cana-777	34	16	network	network	NOUN
cana-777	34	17	,	,	PUNCT
cana-777	34	18	addressing	address	VERB
cana-777	34	19	threats	threat	NOUN
cana-777	34	20	that	that	PRON
cana-777	34	21	may	may	AUX
cana-777	34	22	circumvent	circumvent	VERB
cana-777	34	23	other	other	ADJ
cana-777	34	24	security	security	NOUN
cana-777	34	25	measures	measure	NOUN
cana-777	34	26	.	.	PUNCT
cana-777	35	1	fig.1	fig.1	PROPN
cana-777	35	2	.	.	PROPN
cana-777	35	3	intrusion	intrusion	NOUN
cana-777	35	4	detection	detection	NOUN
cana-777	35	5	system	system	NOUN
cana-777	35	6	traditional	traditional	ADJ
cana-777	35	7	network	network	NOUN
cana-777	35	8	security	security	NOUN
cana-777	35	9	solutions	solution	NOUN
cana-777	35	10	,	,	PUNCT
cana-777	35	11	such	such	ADJ
cana-777	35	12	as	as	ADP
cana-777	35	13	firewalls	firewall	NOUN
cana-777	35	14	and	and	CCONJ
cana-777	35	15	cryptography	cryptography	NOUN
cana-777	35	16	,	,	PUNCT
cana-777	35	17	are	be	AUX
cana-777	35	18	primarily	primarily	ADV
cana-777	35	19	designed	design	VERB
cana-777	35	20	to	to	PART
cana-777	35	21	address	address	VERB
cana-777	35	22	lower	low	ADJ
cana-777	35	23	-	-	PUNCT
cana-777	35	24	level	level	NOUN
cana-777	35	25	security	security	NOUN
cana-777	35	26	concerns	concern	NOUN
cana-777	35	27	and	and	CCONJ
cana-777	35	28	are	be	AUX
cana-777	35	29	less	less	ADV
cana-777	35	30	equipped	equipped	ADJ
cana-777	35	31	to	to	PART
cana-777	35	32	handle	handle	VERB
cana-777	35	33	more	more	ADV
cana-777	35	34	sophisticated	sophisticated	ADJ
cana-777	35	35	network	network	NOUN
cana-777	35	36	and	and	CCONJ
cana-777	35	37	application	application	NOUN
cana-777	35	38	layer	layer	NOUN
cana-777	35	39	attacks	attack	NOUN
cana-777	35	40	.	.	PUNCT
cana-777	36	1	these	these	DET
cana-777	36	2	advanced	advanced	ADJ
cana-777	36	3	threats	threat	NOUN
cana-777	36	4	encompass	encompass	VERB
cana-777	36	5	a	a	DET
cana-777	36	6	range	range	NOUN
cana-777	36	7	of	of	ADP
cana-777	36	8	issues	issue	NOUN
cana-777	36	9	,	,	PUNCT
cana-777	36	10	including	include	VERB
cana-777	36	11	denial	denial	NOUN
cana-777	36	12	of	of	ADP
cana-777	36	13	service	service	NOUN
cana-777	36	14	(	(	PUNCT
cana-777	36	15	dos	do	NOUN
cana-777	36	16	)	)	PUNCT
cana-777	36	17	and	and	CCONJ
cana-777	36	18	distributed	distribute	VERB
cana-777	36	19	denial	denial	NOUN
cana-777	36	20	of	of	ADP
cana-777	36	21	service	service	NOUN
cana-777	36	22	(	(	PUNCT
cana-777	36	23	ddos	ddos	NOUN
cana-777	36	24	)	)	PUNCT
cana-777	36	25	attacks	attack	NOUN
cana-777	36	26	,	,	PUNCT
cana-777	36	27	as	as	ADV
cana-777	36	28	well	well	ADV
cana-777	36	29	as	as	ADP
cana-777	36	30	the	the	DET
cana-777	36	31	proliferation	proliferation	NOUN
cana-777	36	32	of	of	ADP
cana-777	36	33	worms	worm	NOUN
cana-777	36	34	,	,	PUNCT
cana-777	36	35	viruses	virus	NOUN
cana-777	36	36	,	,	PUNCT
cana-777	36	37	and	and	CCONJ
cana-777	36	38	trojans	trojan	NOUN
cana-777	36	39	.	.	PUNCT
cana-777	37	1	the	the	DET
cana-777	37	2	rapid	rapid	ADJ
cana-777	37	3	expansion	expansion	NOUN
cana-777	37	4	of	of	ADP
cana-777	37	5	the	the	DET
cana-777	37	6	internet	internet	NOUN
cana-777	37	7	has	have	AUX
cana-777	37	8	exacerbated	exacerbate	VERB
cana-777	37	9	these	these	DET
cana-777	37	10	threats	threat	NOUN
cana-777	37	11	,	,	PUNCT
cana-777	37	12	prompting	prompt	VERB
cana-777	37	13	security	security	NOUN
cana-777	37	14	experts	expert	NOUN
cana-777	37	15	to	to	PART
cana-777	37	16	explore	explore	VERB
cana-777	37	17	the	the	DET
cana-777	37	18	realm	realm	NOUN
cana-777	37	19	of	of	ADP
cana-777	37	20	intrusion	intrusion	NOUN
cana-777	37	21	detection	detection	NOUN
cana-777	37	22	systems	system	NOUN
cana-777	37	23	(	(	PUNCT
cana-777	37	24	idss	idss	ADV
cana-777	37	25	)	)	PUNCT
cana-777	38	1	[	[	X
cana-777	38	2	1	1	NUM
cana-777	38	3	]	]	PUNCT
cana-777	38	4	.	.	PUNCT
cana-777	39	1	idss	idss	ADV
cana-777	39	2	fall	fall	VERB
cana-777	39	3	under	under	ADP
cana-777	39	4	the	the	DET
cana-777	39	5	category	category	NOUN
cana-777	39	6	of	of	ADP
cana-777	39	7	"	"	PUNCT
cana-777	39	8	anti	anti	ADJ
cana-777	39	9	-	-	ADJ
cana-777	39	10	attack	attack	ADJ
cana-777	39	11	"	"	PUNCT
cana-777	39	12	systems	system	NOUN
cana-777	39	13	,	,	PUNCT
cana-777	39	14	focusing	focus	VERB
cana-777	39	15	on	on	ADP
cana-777	39	16	the	the	DET
cana-777	39	17	detection	detection	NOUN
cana-777	39	18	and	and	CCONJ
cana-777	39	19	prevention	prevention	NOUN
cana-777	39	20	of	of	ADP
cana-777	39	21	network	network	NOUN
cana-777	39	22	attacks	attack	NOUN
cana-777	39	23	.	.	PUNCT
cana-777	40	1	they	they	PRON
cana-777	40	2	employ	employ	VERB
cana-777	40	3	a	a	DET
cana-777	40	4	spectrum	spectrum	NOUN
cana-777	40	5	of	of	ADP
cana-777	40	6	techniques	technique	NOUN
cana-777	40	7	to	to	PART
cana-777	40	8	identify	identify	VERB
cana-777	40	9	suspicious	suspicious	ADJ
cana-777	40	10	activities	activity	NOUN
cana-777	40	11	occurring	occur	VERB
cana-777	40	12	at	at	ADP
cana-777	40	13	both	both	CCONJ
cana-777	40	14	the	the	DET
cana-777	40	15	network	network	NOUN
cana-777	40	16	and	and	CCONJ
cana-777	40	17	host	host	NOUN
cana-777	40	18	levels	level	NOUN
cana-777	40	19	[	[	X
cana-777	40	20	2	2	NUM
cana-777	40	21	]	]	PUNCT
cana-777	40	22	.	.	PUNCT
cana-777	41	1	the	the	DET
cana-777	41	2	process	process	NOUN
cana-777	41	3	of	of	ADP
cana-777	41	4	designing	design	VERB
cana-777	41	5	an	an	DET
cana-777	41	6	ids	ids	NOUN
cana-777	41	7	involves	involve	VERB
cana-777	41	8	two	two	NUM
cana-777	41	9	key	key	ADJ
cana-777	41	10	approaches	approach	NOUN
cana-777	41	11	:	:	PUNCT
cana-777	41	12	communications	communication	NOUN
cana-777	41	13	on	on	ADP
cana-777	41	14	applied	apply	VERB
cana-777	41	15	nonlinear	nonlinear	ADJ
cana-777	41	16	analysis	analysis	NOUN
cana-777	41	17	issn	issn	NOUN
cana-777	41	18	:	:	PUNCT
cana-777	41	19	1074	1074	NUM
cana-777	41	20	-	-	PUNCT
cana-777	41	21	133x	133x	NUM
cana-777	41	22	vol	vol	NOUN
cana-777	41	23	31	31	NUM
cana-777	41	24	no	no	NOUN
cana-777	41	25	.	.	PUNCT
cana-777	42	1	3s	3s	NUM
cana-777	42	2	(	(	PUNCT
cana-777	42	3	2024	2024	NUM
cana-777	42	4	)	)	PUNCT
cana-777	42	5	338	338	NUM
cana-777	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	42	7	a.	a.	NOUN
cana-777	42	8	misuse	misuse	NOUN
cana-777	42	9	-	-	PUNCT
cana-777	42	10	based	base	VERB
cana-777	42	11	ids	id	NOUN
cana-777	42	12	:	:	PUNCT
cana-777	42	13	this	this	DET
cana-777	42	14	type	type	NOUN
cana-777	42	15	of	of	ADP
cana-777	42	16	ids	id	NOUN
cana-777	42	17	seeks	seek	VERB
cana-777	42	18	to	to	PART
cana-777	42	19	identify	identify	VERB
cana-777	42	20	activities	activity	NOUN
cana-777	42	21	that	that	PRON
cana-777	42	22	align	align	VERB
cana-777	42	23	with	with	ADP
cana-777	42	24	known	know	VERB
cana-777	42	25	intrusion	intrusion	NOUN
cana-777	42	26	signatures	signature	NOUN
cana-777	42	27	or	or	CCONJ
cana-777	42	28	vulnerabilities	vulnerability	NOUN
cana-777	42	29	,	,	PUNCT
cana-777	42	30	allowing	allow	VERB
cana-777	42	31	it	it	PRON
cana-777	42	32	to	to	PART
cana-777	42	33	detect	detect	VERB
cana-777	42	34	and	and	CCONJ
cana-777	42	35	safeguard	safeguard	VERB
cana-777	42	36	against	against	ADP
cana-777	42	37	well	well	ADV
cana-777	42	38	-	-	PUNCT
cana-777	42	39	defined	define	VERB
cana-777	42	40	intrusions	intrusion	NOUN
cana-777	42	41	.	.	PUNCT
cana-777	43	1	b.	b.	PROPN
cana-777	43	2	anomaly	anomaly	PROPN
cana-777	43	3	-	-	PUNCT
cana-777	43	4	based	base	VERB
cana-777	43	5	intrusion	intrusion	NOUN
cana-777	43	6	detection	detection	NOUN
cana-777	43	7	systems	system	NOUN
cana-777	43	8	:	:	PUNCT
cana-777	43	9	in	in	ADP
cana-777	43	10	contrast	contrast	NOUN
cana-777	43	11	,	,	PUNCT
cana-777	43	12	anomaly	anomaly	NOUN
cana-777	43	13	-	-	PUNCT
cana-777	43	14	based	base	VERB
cana-777	43	15	idss	idss	NOUN
cana-777	43	16	scan	scan	VERB
cana-777	43	17	for	for	SCONJ
cana-777	43	18	irregular	irregular	ADJ
cana-777	43	19	network	network	NOUN
cana-777	43	20	traffic	traffic	NOUN
cana-777	43	21	patterns	pattern	NOUN
cana-777	43	22	to	to	PART
cana-777	43	23	identify	identify	VERB
cana-777	43	24	potential	potential	ADJ
cana-777	43	25	intrusions	intrusion	NOUN
cana-777	43	26	.	.	PUNCT
cana-777	44	1	these	these	DET
cana-777	44	2	deviations	deviation	NOUN
cana-777	44	3	can	can	AUX
cana-777	44	4	be	be	AUX
cana-777	44	5	defined	define	VERB
cana-777	44	6	in	in	ADP
cana-777	44	7	terms	term	NOUN
cana-777	44	8	of	of	ADP
cana-777	44	9	breaches	breach	NOUN
cana-777	44	10	in	in	ADP
cana-777	44	11	established	establish	VERB
cana-777	44	12	event	event	NOUN
cana-777	44	13	frequency	frequency	NOUN
cana-777	44	14	thresholds	threshold	NOUN
cana-777	44	15	or	or	CCONJ
cana-777	44	16	deviations	deviation	NOUN
cana-777	44	17	from	from	ADP
cana-777	44	18	a	a	DET
cana-777	44	19	user	user	NOUN
cana-777	44	20	's	's	PART
cana-777	44	21	established	establish	VERB
cana-777	44	22	profile	profile	NOUN
cana-777	44	23	of	of	ADP
cana-777	44	24	normal	normal	ADJ
cana-777	44	25	behavior	behavior	NOUN
cana-777	44	26	[	[	X
cana-777	44	27	3	3	NUM
cana-777	44	28	]	]	PUNCT
cana-777	44	29	.	.	PUNCT
cana-777	45	1	anomaly	anomaly	NOUN
cana-777	45	2	-	-	PUNCT
cana-777	45	3	based	base	VERB
cana-777	45	4	intrusion	intrusion	NOUN
cana-777	45	5	detection	detection	NOUN
cana-777	45	6	comprises	comprise	VERB
cana-777	45	7	two	two	NUM
cana-777	45	8	primary	primary	ADJ
cana-777	45	9	phases	phase	NOUN
cana-777	45	10	:	:	PUNCT
cana-777	45	11	a.	a.	NOUN
cana-777	45	12	)	)	PUNCT
cana-777	45	13	training	training	NOUN
cana-777	45	14	phase	phase	NOUN
cana-777	45	15	:	:	PUNCT
cana-777	45	16	during	during	ADP
cana-777	45	17	this	this	DET
cana-777	45	18	initial	initial	ADJ
cana-777	45	19	phase	phase	NOUN
cana-777	45	20	,	,	PUNCT
cana-777	45	21	a	a	DET
cana-777	45	22	baseline	baseline	NOUN
cana-777	45	23	profile	profile	NOUN
cana-777	45	24	of	of	ADP
cana-777	45	25	normal	normal	ADJ
cana-777	45	26	network	network	NOUN
cana-777	45	27	traffic	traffic	NOUN
cana-777	45	28	is	be	AUX
cana-777	45	29	constructed	construct	VERB
cana-777	45	30	.	.	PUNCT
cana-777	46	1	b.	b.	PROPN
cana-777	46	2	)	)	PUNCT
cana-777	46	3	anomaly	anomaly	PROPN
cana-777	46	4	detection	detection	NOUN
cana-777	46	5	:	:	PUNCT
cana-777	46	6	in	in	ADP
cana-777	46	7	the	the	DET
cana-777	46	8	subsequent	subsequent	ADJ
cana-777	46	9	phase	phase	NOUN
cana-777	46	10	,	,	PUNCT
cana-777	46	11	this	this	PRON
cana-777	46	12	learned	learn	VERB
cana-777	46	13	profile	profile	NOUN
cana-777	46	14	is	be	AUX
cana-777	46	15	applied	apply	VERB
cana-777	46	16	to	to	ADP
cana-777	46	17	current	current	ADJ
cana-777	46	18	network	network	NOUN
cana-777	46	19	traffic	traffic	NOUN
cana-777	46	20	to	to	PART
cana-777	46	21	detect	detect	VERB
cana-777	46	22	any	any	DET
cana-777	46	23	deviations	deviation	NOUN
cana-777	46	24	from	from	ADP
cana-777	46	25	the	the	DET
cana-777	46	26	established	establish	VERB
cana-777	46	27	norm	norm	NOUN
cana-777	46	28	.	.	PUNCT
cana-777	47	1	an	an	DET
cana-777	47	2	array	array	NOUN
cana-777	47	3	of	of	ADP
cana-777	47	4	anomaly	anomaly	NOUN
cana-777	47	5	detection	detection	NOUN
cana-777	47	6	mechanisms	mechanism	NOUN
cana-777	47	7	has	have	AUX
cana-777	47	8	emerged	emerge	VERB
cana-777	47	9	,	,	PUNCT
cana-777	47	10	encompassing	encompass	VERB
cana-777	47	11	statistical	statistical	ADJ
cana-777	47	12	,	,	PUNCT
cana-777	47	13	data	datum	NOUN
cana-777	47	14	mining	mining	NOUN
cana-777	47	15	,	,	PUNCT
cana-777	47	16	and	and	CCONJ
cana-777	47	17	machine	machine	NOUN
cana-777	47	18	learning	learning	NOUN
cana-777	47	19	(	(	PUNCT
cana-777	47	20	ml)-based	ml)-base	VERB
cana-777	47	21	methods	method	NOUN
cana-777	47	22	[	[	X
cana-777	47	23	4	4	NUM
cana-777	47	24	]	]	PUNCT
cana-777	47	25	.	.	PUNCT
cana-777	48	1	in	in	ADP
cana-777	48	2	essence	essence	NOUN
cana-777	48	3	,	,	PUNCT
cana-777	48	4	idss	idss	ADV
cana-777	48	5	fill	fill	VERB
cana-777	48	6	a	a	DET
cana-777	48	7	critical	critical	ADJ
cana-777	48	8	security	security	NOUN
cana-777	48	9	gap	gap	NOUN
cana-777	48	10	by	by	ADP
cana-777	48	11	addressing	address	VERB
cana-777	48	12	higher	high	ADJ
cana-777	48	13	-	-	PUNCT
cana-777	48	14	level	level	NOUN
cana-777	48	15	threats	threat	NOUN
cana-777	48	16	that	that	PRON
cana-777	48	17	evade	evade	VERB
cana-777	48	18	traditional	traditional	ADJ
cana-777	48	19	security	security	NOUN
cana-777	48	20	measures	measure	NOUN
cana-777	48	21	.	.	PUNCT
cana-777	49	1	these	these	DET
cana-777	49	2	systems	system	NOUN
cana-777	49	3	are	be	AUX
cana-777	49	4	pivotal	pivotal	ADJ
cana-777	49	5	in	in	ADP
cana-777	49	6	safeguarding	safeguard	VERB
cana-777	49	7	network	network	NOUN
cana-777	49	8	and	and	CCONJ
cana-777	49	9	application	application	NOUN
cana-777	49	10	layers	layer	NOUN
cana-777	49	11	against	against	ADP
cana-777	49	12	a	a	DET
cana-777	49	13	broad	broad	ADJ
cana-777	49	14	spectrum	spectrum	NOUN
cana-777	49	15	of	of	ADP
cana-777	49	16	evolving	evolve	VERB
cana-777	49	17	security	security	NOUN
cana-777	49	18	risks.[5	risks.[5	NOUN
cana-777	49	19	]	]	PUNCT
cana-777	49	20	fig	fig	NOUN
cana-777	49	21	2	2	NUM
cana-777	49	22	.	.	PUNCT
cana-777	49	23	signatures	signature	NOUN
cana-777	49	24	–	–	PUNCT
cana-777	49	25	based	base	VERB
cana-777	49	26	ids	id	NOUN
cana-777	49	27	fig	fig	NOUN
cana-777	49	28	3	3	NUM
cana-777	49	29	.	.	PUNCT
cana-777	49	30	anomaly	anomaly	PROPN
cana-777	49	31	–	–	PUNCT
cana-777	49	32	based	base	VERB
cana-777	49	33	ids	id	NOUN
cana-777	49	34	2	2	NUM
cana-777	49	35	objectives	objective	NOUN
cana-777	49	36	•	•	ADP
cana-777	49	37	the	the	DET
cana-777	49	38	current	current	ADJ
cana-777	49	39	landscape	landscape	NOUN
cana-777	49	40	of	of	ADP
cana-777	49	41	nids	nid	NOUN
cana-777	49	42	(	(	PUNCT
cana-777	49	43	idss	idss	NOUN
cana-777	49	44	)	)	PUNCT
cana-777	49	45	faces	face	VERB
cana-777	49	46	significant	significant	ADJ
cana-777	49	47	shortcomings	shortcoming	NOUN
cana-777	49	48	,	,	PUNCT
cana-777	49	49	as	as	SCONJ
cana-777	49	50	highlighted	highlight	VERB
cana-777	49	51	by	by	ADP
cana-777	49	52	recent	recent	ADJ
cana-777	49	53	reviews	review	NOUN
cana-777	49	54	.	.	PUNCT
cana-777	50	1	these	these	DET
cana-777	50	2	limitations	limitation	NOUN
cana-777	50	3	stem	stem	VERB
cana-777	50	4	from	from	ADP
cana-777	50	5	various	various	ADJ
cana-777	50	6	factors	factor	NOUN
cana-777	50	7	,	,	PUNCT
cana-777	50	8	preventing	prevent	VERB
cana-777	50	9	these	these	DET
cana-777	50	10	idss	idss	NOUN
cana-777	50	11	from	from	ADP
cana-777	50	12	meeting	meet	VERB
cana-777	50	13	the	the	DET
cana-777	50	14	desired	desire	VERB
cana-777	50	15	specifications	specification	NOUN
cana-777	50	16	effectively	effectively	ADV
cana-777	50	17	.	.	PUNCT
cana-777	51	1	in	in	ADP
cana-777	51	2	response	response	NOUN
cana-777	51	3	to	to	ADP
cana-777	51	4	these	these	DET
cana-777	51	5	deficiencies	deficiency	NOUN
cana-777	51	6	,	,	PUNCT
cana-777	51	7	this	this	DET
cana-777	51	8	research	research	NOUN
cana-777	51	9	project	project	NOUN
cana-777	51	10	is	be	AUX
cana-777	51	11	motivated	motivate	VERB
cana-777	51	12	to	to	PART
cana-777	51	13	contribute	contribute	VERB
cana-777	51	14	to	to	ADP
cana-777	51	15	the	the	DET
cana-777	51	16	field	field	NOUN
cana-777	51	17	of	of	ADP
cana-777	51	18	network	network	NOUN
cana-777	51	19	ids	id	NOUN
cana-777	51	20	design	design	NOUN
cana-777	51	21	by	by	ADP
cana-777	51	22	leveraging	leverage	VERB
cana-777	51	23	the	the	DET
cana-777	51	24	potential	potential	NOUN
cana-777	51	25	of	of	ADP
cana-777	51	26	deep	deep	ADJ
cana-777	51	27	learning	learning	NOUN
cana-777	51	28	techniques	technique	NOUN
cana-777	51	29	,	,	PUNCT
cana-777	51	30	including	include	VERB
cana-777	51	31	recurrent	recurrent	ADJ
cana-777	51	32	neural	neural	ADJ
cana-777	51	33	networks	network	NOUN
cana-777	51	34	(	(	PUNCT
cana-777	51	35	rnns	rnns	PROPN
cana-777	51	36	)	)	PUNCT
cana-777	51	37	,	,	PUNCT
cana-777	51	38	deep	deep	ADJ
cana-777	51	39	neural	neural	ADJ
cana-777	51	40	networks	network	NOUN
cana-777	51	41	(	(	PUNCT
cana-777	51	42	deepnns	deepnns	ADJ
cana-777	51	43	)	)	PUNCT
cana-777	51	44	,	,	PUNCT
cana-777	51	45	and	and	CCONJ
cana-777	51	46	algorithmic	algorithmic	ADJ
cana-777	51	47	innovations.[5	innovations.[5	NOUN
cana-777	51	48	]	]	PUNCT
cana-777	51	49	communications	communication	NOUN
cana-777	51	50	on	on	ADP
cana-777	51	51	applied	apply	VERB
cana-777	51	52	nonlinear	nonlinear	ADJ
cana-777	51	53	analysis	analysis	NOUN
cana-777	51	54	issn	issn	NOUN
cana-777	51	55	:	:	PUNCT
cana-777	51	56	1074	1074	NUM
cana-777	51	57	-	-	PUNCT
cana-777	51	58	133x	133x	NUM
cana-777	51	59	vol	vol	NOUN
cana-777	51	60	31	31	NUM
cana-777	51	61	no	no	NOUN
cana-777	51	62	.	.	PUNCT
cana-777	52	1	3s	3s	NUM
cana-777	52	2	(	(	PUNCT
cana-777	52	3	2024	2024	NUM
cana-777	52	4	)	)	PUNCT
cana-777	52	5	339	339	NUM
cana-777	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	52	7	•	•	NOUN
cana-777	52	8	the	the	DET
cana-777	52	9	primary	primary	ADJ
cana-777	52	10	objective	objective	NOUN
cana-777	52	11	of	of	ADP
cana-777	52	12	this	this	DET
cana-777	52	13	research	research	NOUN
cana-777	52	14	is	be	AUX
cana-777	52	15	to	to	PART
cana-777	52	16	address	address	VERB
cana-777	52	17	the	the	DET
cana-777	52	18	inadequacies	inadequacy	NOUN
cana-777	52	19	observed	observe	VERB
cana-777	52	20	in	in	ADP
cana-777	52	21	existing	exist	VERB
cana-777	52	22	network	network	NOUN
cana-777	52	23	ids	id	NOUN
cana-777	52	24	applications	application	NOUN
cana-777	52	25	.	.	PUNCT
cana-777	53	1	these	these	DET
cana-777	53	2	inadequacies	inadequacy	NOUN
cana-777	53	3	encompass	encompass	VERB
cana-777	53	4	a	a	DET
cana-777	53	5	range	range	NOUN
cana-777	53	6	of	of	ADP
cana-777	53	7	issues	issue	NOUN
cana-777	53	8	,	,	PUNCT
cana-777	53	9	such	such	ADJ
cana-777	53	10	as	as	ADP
cana-777	53	11	the	the	DET
cana-777	53	12	inability	inability	NOUN
cana-777	53	13	to	to	PART
cana-777	53	14	effectively	effectively	ADV
cana-777	53	15	identify	identify	VERB
cana-777	53	16	and	and	CCONJ
cana-777	53	17	respond	respond	VERB
cana-777	53	18	to	to	ADP
cana-777	53	19	emerging	emerge	VERB
cana-777	53	20	threats	threat	NOUN
cana-777	53	21	,	,	PUNCT
cana-777	53	22	high	high	ADJ
cana-777	53	23	false	false	ADJ
cana-777	53	24	positive	positive	ADJ
cana-777	53	25	rates	rate	NOUN
cana-777	53	26	,	,	PUNCT
cana-777	53	27	and	and	CCONJ
cana-777	53	28	limited	limited	ADJ
cana-777	53	29	adaptability	adaptability	NOUN
cana-777	53	30	to	to	ADP
cana-777	53	31	evolving	evolve	VERB
cana-777	53	32	attack	attack	NOUN
cana-777	53	33	vectors	vector	NOUN
cana-777	53	34	.	.	PUNCT
cana-777	54	1	by	by	ADP
cana-777	54	2	harnessing	harness	VERB
cana-777	54	3	the	the	DET
cana-777	54	4	capabilities	capability	NOUN
cana-777	54	5	of	of	ADP
cana-777	54	6	deep	deep	ADJ
cana-777	54	7	learning	learning	NOUN
cana-777	54	8	techniques	technique	NOUN
cana-777	54	9	,	,	PUNCT
cana-777	54	10	this	this	DET
cana-777	54	11	study	study	NOUN
cana-777	54	12	seeks	seek	VERB
cana-777	54	13	to	to	PART
cana-777	54	14	significantly	significantly	ADV
cana-777	54	15	enhance	enhance	VERB
cana-777	54	16	the	the	DET
cana-777	54	17	performance	performance	NOUN
cana-777	54	18	,	,	PUNCT
cana-777	54	19	accuracy	accuracy	NOUN
cana-777	54	20	,	,	PUNCT
cana-777	54	21	and	and	CCONJ
cana-777	54	22	adaptability	adaptability	NOUN
cana-777	54	23	of	of	ADP
cana-777	54	24	network	network	NOUN
cana-777	54	25	idss.[6	idss.[6	PUNCT
cana-777	54	26	]	]	X
cana-777	54	27	•	•	ADP
cana-777	54	28	to	to	PART
cana-777	54	29	achieve	achieve	VERB
cana-777	54	30	this	this	DET
cana-777	54	31	objective	objective	NOUN
cana-777	54	32	,	,	PUNCT
cana-777	54	33	the	the	DET
cana-777	54	34	research	research	NOUN
cana-777	54	35	will	will	AUX
cana-777	54	36	focus	focus	VERB
cana-777	54	37	on	on	ADP
cana-777	54	38	the	the	DET
cana-777	54	39	development	development	NOUN
cana-777	54	40	and	and	CCONJ
cana-777	54	41	implementation	implementation	NOUN
cana-777	54	42	of	of	ADP
cana-777	54	43	novel	novel	ADJ
cana-777	54	44	algorithms	algorithm	NOUN
cana-777	54	45	and	and	CCONJ
cana-777	54	46	methodologies	methodology	NOUN
cana-777	54	47	that	that	PRON
cana-777	54	48	incorporate	incorporate	VERB
cana-777	54	49	rnns	rnn	NOUN
cana-777	54	50	and	and	CCONJ
cana-777	54	51	deep	deep	ADJ
cana-777	54	52	-	-	PUNCT
cana-777	54	53	nns	nn	NOUN
cana-777	54	54	.	.	PUNCT
cana-777	55	1	these	these	DET
cana-777	55	2	techniques	technique	NOUN
cana-777	55	3	will	will	AUX
cana-777	55	4	be	be	AUX
cana-777	55	5	tailored	tailor	VERB
cana-777	55	6	to	to	ADP
cana-777	55	7	the	the	DET
cana-777	55	8	unique	unique	ADJ
cana-777	55	9	demands	demand	NOUN
cana-777	55	10	of	of	ADP
cana-777	55	11	network	network	NOUN
cana-777	55	12	intrusion	intrusion	NOUN
cana-777	55	13	detection	detection	NOUN
cana-777	55	14	,	,	PUNCT
cana-777	55	15	with	with	ADP
cana-777	55	16	the	the	DET
cana-777	55	17	aim	aim	NOUN
cana-777	55	18	of	of	ADP
cana-777	55	19	improving	improve	VERB
cana-777	55	20	the	the	DET
cana-777	55	21	system	system	NOUN
cana-777	55	22	's	's	PART
cana-777	55	23	ability	ability	NOUN
cana-777	55	24	to	to	PART
cana-777	55	25	discern	discern	VERB
cana-777	55	26	normal	normal	ADJ
cana-777	55	27	network	network	NOUN
cana-777	55	28	behavior	behavior	NOUN
cana-777	55	29	from	from	ADP
cana-777	55	30	potential	potential	ADJ
cana-777	55	31	intrusions	intrusion	NOUN
cana-777	55	32	and	and	CCONJ
cana-777	55	33	anomalous	anomalous	ADJ
cana-777	55	34	activities.[7	activities.[7	NOUN
cana-777	55	35	]	]	X
cana-777	55	36	•	•	ADP
cana-777	55	37	furthermore	furthermore	ADV
cana-777	55	38	,	,	PUNCT
cana-777	55	39	this	this	DET
cana-777	55	40	research	research	NOUN
cana-777	55	41	project	project	NOUN
cana-777	55	42	acknowledges	acknowledge	VERB
cana-777	55	43	the	the	DET
cana-777	55	44	importance	importance	NOUN
cana-777	55	45	of	of	ADP
cana-777	55	46	collaboration	collaboration	NOUN
cana-777	55	47	with	with	ADP
cana-777	55	48	network	network	NOUN
cana-777	55	49	ids	id	NOUN
cana-777	55	50	designers	designer	NOUN
cana-777	55	51	and	and	CCONJ
cana-777	55	52	practitioners	practitioner	NOUN
cana-777	55	53	.	.	PUNCT
cana-777	56	1	by	by	ADP
cana-777	56	2	providing	provide	VERB
cana-777	56	3	practical	practical	ADJ
cana-777	56	4	insights	insight	NOUN
cana-777	56	5	and	and	CCONJ
cana-777	56	6	solutions	solution	NOUN
cana-777	56	7	,	,	PUNCT
cana-777	56	8	the	the	DET
cana-777	56	9	study	study	NOUN
cana-777	56	10	aims	aim	VERB
cana-777	56	11	to	to	PART
cana-777	56	12	empower	empower	VERB
cana-777	56	13	ids	id	VERB
cana-777	56	14	designers	designer	NOUN
cana-777	56	15	to	to	PART
cana-777	56	16	create	create	VERB
cana-777	56	17	more	more	ADV
cana-777	56	18	robust	robust	ADJ
cana-777	56	19	and	and	CCONJ
cana-777	56	20	effective	effective	ADJ
cana-777	56	21	systems	system	NOUN
cana-777	56	22	that	that	PRON
cana-777	56	23	better	well	ADV
cana-777	56	24	meet	meet	VERB
cana-777	56	25	the	the	DET
cana-777	56	26	evolving	evolve	VERB
cana-777	56	27	challenges	challenge	NOUN
cana-777	56	28	of	of	ADP
cana-777	56	29	network	network	NOUN
cana-777	56	30	security	security	NOUN
cana-777	56	31	.	.	PUNCT
cana-777	57	1	through	through	ADP
cana-777	57	2	this	this	DET
cana-777	57	3	collaborative	collaborative	ADJ
cana-777	57	4	effort	effort	NOUN
cana-777	57	5	,	,	PUNCT
cana-777	57	6	we	we	PRON
cana-777	57	7	aspire	aspire	VERB
cana-777	57	8	to	to	PART
cana-777	57	9	contribute	contribute	VERB
cana-777	57	10	to	to	ADP
cana-777	57	11	the	the	DET
cana-777	57	12	advancement	advancement	NOUN
cana-777	57	13	of	of	ADP
cana-777	57	14	network	network	NOUN
cana-777	57	15	ids	id	NOUN
cana-777	57	16	technology	technology	NOUN
cana-777	57	17	,	,	PUNCT
cana-777	57	18	ultimately	ultimately	ADV
cana-777	57	19	enhancing	enhance	VERB
cana-777	57	20	the	the	DET
cana-777	57	21	security	security	NOUN
cana-777	57	22	posture	posture	NOUN
cana-777	57	23	of	of	ADP
cana-777	57	24	organizations	organization	NOUN
cana-777	57	25	and	and	CCONJ
cana-777	57	26	individuals	individual	NOUN
cana-777	57	27	in	in	ADP
cana-777	57	28	an	an	DET
cana-777	57	29	increasingly	increasingly	ADV
cana-777	57	30	interconnected	interconnect	VERB
cana-777	57	31	digital	digital	ADJ
cana-777	57	32	landscape.[8	landscape.[8	NOUN
cana-777	57	33	]	]	X
cana-777	57	34	3	3	NUM
cana-777	57	35	literature	literature	NOUN
cana-777	57	36	review	review	VERB
cana-777	57	37	the	the	DET
cana-777	57	38	increasing	increase	VERB
cana-777	57	39	complexity	complexity	NOUN
cana-777	57	40	and	and	CCONJ
cana-777	57	41	sophistication	sophistication	NOUN
cana-777	57	42	of	of	ADP
cana-777	57	43	cyber	cyber	NOUN
cana-777	57	44	threats	threat	NOUN
cana-777	57	45	pose	pose	VERB
cana-777	57	46	significant	significant	ADJ
cana-777	57	47	challenges	challenge	NOUN
cana-777	57	48	to	to	ADP
cana-777	57	49	traditional	traditional	ADJ
cana-777	57	50	intrusion	intrusion	NOUN
cana-777	57	51	detection	detection	NOUN
cana-777	57	52	systems	system	NOUN
cana-777	57	53	(	(	PUNCT
cana-777	57	54	ids	id	NOUN
cana-777	57	55	)	)	PUNCT
cana-777	57	56	used	use	VERB
cana-777	57	57	in	in	ADP
cana-777	57	58	network	network	NOUN
cana-777	57	59	security	security	NOUN
cana-777	57	60	.	.	PUNCT
cana-777	58	1	deep	deep	ADJ
cana-777	58	2	neural	neural	ADJ
cana-777	58	3	networks	network	NOUN
cana-777	58	4	(	(	PUNCT
cana-777	58	5	dnns	dnn	NOUN
cana-777	58	6	)	)	PUNCT
cana-777	58	7	,	,	PUNCT
cana-777	58	8	a	a	DET
cana-777	58	9	subset	subset	NOUN
cana-777	58	10	of	of	ADP
cana-777	58	11	artificial	artificial	ADJ
cana-777	58	12	neural	neural	ADJ
cana-777	58	13	networks	network	NOUN
cana-777	58	14	,	,	PUNCT
cana-777	58	15	have	have	AUX
cana-777	58	16	emerged	emerge	VERB
cana-777	58	17	as	as	ADP
cana-777	58	18	a	a	DET
cana-777	58	19	promising	promising	ADJ
cana-777	58	20	solution	solution	NOUN
cana-777	58	21	for	for	ADP
cana-777	58	22	detecting	detect	VERB
cana-777	58	23	intrusions	intrusion	NOUN
cana-777	58	24	in	in	ADP
cana-777	58	25	network	network	NOUN
cana-777	58	26	environments	environment	NOUN
cana-777	58	27	.	.	PUNCT
cana-777	59	1	in	in	ADP
cana-777	59	2	this	this	DET
cana-777	59	3	literature	literature	NOUN
cana-777	59	4	review	review	NOUN
cana-777	59	5	,	,	PUNCT
cana-777	59	6	we	we	PRON
cana-777	59	7	explore	explore	VERB
cana-777	59	8	the	the	DET
cana-777	59	9	existing	exist	VERB
cana-777	59	10	research	research	NOUN
cana-777	59	11	and	and	CCONJ
cana-777	59	12	studies	study	NOUN
cana-777	59	13	related	relate	VERB
cana-777	59	14	to	to	ADP
cana-777	59	15	the	the	DET
cana-777	59	16	application	application	NOUN
cana-777	59	17	of	of	ADP
cana-777	59	18	dnns	dnn	NOUN
cana-777	59	19	for	for	ADP
cana-777	59	20	network	network	NOUN
cana-777	59	21	intrusion	intrusion	NOUN
cana-777	59	22	detection	detection	NOUN
cana-777	59	23	.	.	PUNCT
cana-777	60	1	nids	nid	NOUN
cana-777	60	2	(	(	PUNCT
cana-777	60	3	nids	nid	NOUN
cana-777	60	4	)	)	PUNCT
cana-777	60	5	are	be	AUX
cana-777	60	6	essential	essential	ADJ
cana-777	60	7	components	component	NOUN
cana-777	60	8	of	of	ADP
cana-777	60	9	modern	modern	ADJ
cana-777	60	10	cybersecurity	cybersecurity	NOUN
cana-777	60	11	strategies	strategy	NOUN
cana-777	60	12	,	,	PUNCT
cana-777	60	13	tasked	task	VERB
cana-777	60	14	with	with	ADP
cana-777	60	15	identifying	identify	VERB
cana-777	60	16	unauthorized	unauthorized	ADJ
cana-777	60	17	access	access	NOUN
cana-777	60	18	and	and	CCONJ
cana-777	60	19	malicious	malicious	ADJ
cana-777	60	20	activities	activity	NOUN
cana-777	60	21	within	within	ADP
cana-777	60	22	computer	computer	NOUN
cana-777	60	23	networks	network	NOUN
cana-777	60	24	.	.	PUNCT
cana-777	61	1	traditional	traditional	ADJ
cana-777	61	2	nids	nid	NOUN
cana-777	61	3	approaches	approach	NOUN
cana-777	61	4	often	often	ADV
cana-777	61	5	rely	rely	VERB
cana-777	61	6	on	on	ADP
cana-777	61	7	rule	rule	NOUN
cana-777	61	8	-	-	PUNCT
cana-777	61	9	based	base	VERB
cana-777	61	10	methods	method	NOUN
cana-777	61	11	and	and	CCONJ
cana-777	61	12	signature	signature	NOUN
cana-777	61	13	-	-	PUNCT
cana-777	61	14	based	base	VERB
cana-777	61	15	detection	detection	NOUN
cana-777	61	16	,	,	PUNCT
cana-777	61	17	which	which	PRON
cana-777	61	18	may	may	AUX
cana-777	61	19	struggle	struggle	VERB
cana-777	61	20	to	to	PART
cana-777	61	21	detect	detect	VERB
cana-777	61	22	novel	novel	NOUN
cana-777	61	23	and	and	CCONJ
cana-777	61	24	sophisticated	sophisticated	ADJ
cana-777	61	25	threats.[9	threats.[9	NOUN
cana-777	61	26	]	]	PUNCT
cana-777	61	27	in	in	ADP
cana-777	61	28	response	response	NOUN
cana-777	61	29	to	to	ADP
cana-777	61	30	this	this	DET
cana-777	61	31	challenge	challenge	NOUN
cana-777	61	32	,	,	PUNCT
cana-777	61	33	researchers	researcher	NOUN
cana-777	61	34	and	and	CCONJ
cana-777	61	35	practitioners	practitioner	NOUN
cana-777	61	36	have	have	AUX
cana-777	61	37	explored	explore	VERB
cana-777	61	38	innovative	innovative	ADJ
cana-777	61	39	techniques	technique	NOUN
cana-777	61	40	,	,	PUNCT
cana-777	61	41	such	such	ADJ
cana-777	61	42	as	as	ADP
cana-777	61	43	the	the	DET
cana-777	61	44	application	application	NOUN
cana-777	61	45	of	of	ADP
cana-777	61	46	autoencoder	autoencoder	NOUN
cana-777	61	47	neural	neural	ADJ
cana-777	61	48	networks	network	NOUN
cana-777	61	49	,	,	PUNCT
cana-777	61	50	to	to	PART
cana-777	61	51	enhance	enhance	VERB
cana-777	61	52	the	the	DET
cana-777	61	53	effectiveness	effectiveness	NOUN
cana-777	61	54	of	of	ADP
cana-777	61	55	nids	nid	NOUN
cana-777	61	56	.	.	PUNCT
cana-777	62	1	autoencoder	autoencoder	NOUN
cana-777	62	2	neural	neural	ADJ
cana-777	62	3	networks	network	NOUN
cana-777	62	4	have	have	AUX
cana-777	62	5	gained	gain	VERB
cana-777	62	6	prominence	prominence	NOUN
cana-777	62	7	in	in	ADP
cana-777	62	8	various	various	ADJ
cana-777	62	9	domains	domain	NOUN
cana-777	62	10	,	,	PUNCT
cana-777	62	11	including	include	VERB
cana-777	62	12	computer	computer	NOUN
cana-777	62	13	vision	vision	NOUN
cana-777	62	14	and	and	CCONJ
cana-777	62	15	natural	natural	ADJ
cana-777	62	16	language	language	NOUN
cana-777	62	17	processing	processing	NOUN
cana-777	62	18	,	,	PUNCT
cana-777	62	19	owing	owe	VERB
cana-777	62	20	to	to	ADP
cana-777	62	21	their	their	PRON
cana-777	62	22	ability	ability	NOUN
cana-777	62	23	to	to	PART
cana-777	62	24	capture	capture	VERB
cana-777	62	25	intrinsic	intrinsic	ADJ
cana-777	62	26	data	datum	NOUN
cana-777	62	27	representations	representation	NOUN
cana-777	62	28	.	.	PUNCT
cana-777	63	1	in	in	ADP
cana-777	63	2	the	the	DET
cana-777	63	3	context	context	NOUN
cana-777	63	4	of	of	ADP
cana-777	63	5	nids	nid	NOUN
cana-777	63	6	,	,	PUNCT
cana-777	63	7	autoencoders	autoencoder	NOUN
cana-777	63	8	are	be	AUX
cana-777	63	9	employed	employ	VERB
cana-777	63	10	as	as	ADP
cana-777	63	11	a	a	DET
cana-777	63	12	form	form	NOUN
cana-777	63	13	of	of	ADP
cana-777	63	14	unsupervised	unsupervised	ADJ
cana-777	63	15	machine	machine	NOUN
cana-777	63	16	learning	learning	NOUN
cana-777	63	17	to	to	PART
cana-777	63	18	model	model	VERB
cana-777	63	19	normal	normal	ADJ
cana-777	63	20	network	network	NOUN
cana-777	63	21	behavior	behavior	NOUN
cana-777	63	22	and	and	CCONJ
cana-777	63	23	identify	identify	VERB
cana-777	63	24	deviations	deviation	NOUN
cana-777	63	25	from	from	ADP
cana-777	63	26	established	establish	VERB
cana-777	63	27	patterns	pattern	NOUN
cana-777	63	28	[	[	X
cana-777	63	29	10	10	NUM
cana-777	63	30	]	]	PUNCT
cana-777	63	31	.	.	PUNCT
cana-777	64	1	early	early	ADJ
cana-777	64	2	research	research	NOUN
cana-777	64	3	in	in	ADP
cana-777	64	4	the	the	DET
cana-777	64	5	field	field	NOUN
cana-777	64	6	of	of	ADP
cana-777	64	7	network	network	NOUN
cana-777	64	8	intrusion	intrusion	NOUN
cana-777	64	9	detection	detection	NOUN
cana-777	64	10	using	use	VERB
cana-777	64	11	autoencoder	autoencoder	NOUN
cana-777	64	12	neural	neural	ADJ
cana-777	64	13	networks	network	NOUN
cana-777	64	14	laid	lay	VERB
cana-777	64	15	the	the	DET
cana-777	64	16	groundwork	groundwork	NOUN
cana-777	64	17	for	for	ADP
cana-777	64	18	subsequent	subsequent	ADJ
cana-777	64	19	developments	development	NOUN
cana-777	64	20	.	.	PUNCT
cana-777	65	1	abadi	abadi	PROPN
cana-777	65	2	and	and	CCONJ
cana-777	65	3	glover	glover	PROPN
cana-777	65	4	(	(	PUNCT
cana-777	65	5	1992	1992	NUM
cana-777	65	6	)	)	PUNCT
cana-777	65	7	introduced	introduce	VERB
cana-777	65	8	computational	computational	ADJ
cana-777	65	9	models	model	NOUN
cana-777	65	10	of	of	ADP
cana-777	65	11	trust	trust	NOUN
cana-777	65	12	and	and	CCONJ
cana-777	65	13	reputation	reputation	NOUN
cana-777	65	14	,	,	PUNCT
cana-777	65	15	which	which	PRON
cana-777	65	16	are	be	AUX
cana-777	65	17	foundational	foundational	ADJ
cana-777	65	18	concepts	concept	NOUN
cana-777	65	19	for	for	ADP
cana-777	65	20	understanding	understand	VERB
cana-777	65	21	multi	multi	ADJ
cana-777	65	22	-	-	ADJ
cana-777	65	23	agent	agent	ADJ
cana-777	65	24	environments	environment	NOUN
cana-777	65	25	,	,	PUNCT
cana-777	65	26	a	a	DET
cana-777	65	27	relevant	relevant	ADJ
cana-777	65	28	context	context	NOUN
cana-777	65	29	for	for	ADP
cana-777	65	30	network	network	NOUN
cana-777	65	31	security	security	NOUN
cana-777	65	32	[	[	X
cana-777	65	33	11	11	NUM
cana-777	65	34	]	]	PUNCT
cana-777	65	35	.	.	PUNCT
cana-777	66	1	the	the	DET
cana-777	66	2	introduction	introduction	NOUN
cana-777	66	3	of	of	ADP
cana-777	66	4	convolutional	convolutional	ADJ
cana-777	66	5	neural	neural	ADJ
cana-777	66	6	networks	network	NOUN
cana-777	66	7	(	(	PUNCT
cana-777	66	8	cnns	cnns	PROPN
cana-777	66	9	)	)	PUNCT
cana-777	66	10	by	by	ADP
cana-777	66	11	lecun	lecun	PROPN
cana-777	66	12	et	et	PROPN
cana-777	66	13	al	al	PROPN
cana-777	66	14	.	.	PROPN
cana-777	66	15	(	(	PUNCT
cana-777	66	16	1998	1998	NUM
cana-777	66	17	)	)	PUNCT
cana-777	66	18	marked	mark	VERB
cana-777	66	19	a	a	DET
cana-777	66	20	pivotal	pivotal	ADJ
cana-777	66	21	moment	moment	NOUN
cana-777	66	22	in	in	ADP
cana-777	66	23	neural	neural	ADJ
cana-777	66	24	network	network	NOUN
cana-777	66	25	research	research	NOUN
cana-777	66	26	.	.	PUNCT
cana-777	67	1	while	while	SCONJ
cana-777	67	2	not	not	PART
cana-777	67	3	directly	directly	ADV
cana-777	67	4	related	relate	VERB
cana-777	67	5	to	to	ADP
cana-777	67	6	autoencoders	autoencoder	NOUN
cana-777	67	7	,	,	PUNCT
cana-777	67	8	cnns	cnns	PROPN
cana-777	67	9	would	would	AUX
cana-777	67	10	later	later	ADV
cana-777	67	11	influence	influence	VERB
cana-777	67	12	the	the	DET
cana-777	67	13	development	development	NOUN
cana-777	67	14	of	of	ADP
cana-777	67	15	autoencoder	autoencoder	NOUN
cana-777	67	16	-	-	PUNCT
cana-777	67	17	based	base	VERB
cana-777	67	18	intrusion	intrusion	NOUN
cana-777	67	19	detection	detection	NOUN
cana-777	67	20	by	by	ADP
cana-777	67	21	advancing	advance	VERB
cana-777	67	22	the	the	DET
cana-777	67	23	capabilities	capability	NOUN
cana-777	67	24	of	of	ADP
cana-777	67	25	deep	deep	ADJ
cana-777	67	26	learning	learning	NOUN
cana-777	67	27	models	model	NOUN
cana-777	67	28	[	[	X
cana-777	67	29	12	12	NUM
cana-777	67	30	]	]	PUNCT
cana-777	67	31	.	.	PUNCT
cana-777	68	1	hinton	hinton	PROPN
cana-777	68	2	and	and	CCONJ
cana-777	68	3	salakhutdinov	salakhutdinov	PROPN
cana-777	68	4	(	(	PUNCT
cana-777	68	5	2006	2006	NUM
cana-777	68	6	)	)	PUNCT
cana-777	68	7	played	play	VERB
cana-777	68	8	a	a	DET
cana-777	68	9	significant	significant	ADJ
cana-777	68	10	role	role	NOUN
cana-777	68	11	in	in	ADP
cana-777	68	12	popularizing	popularize	VERB
cana-777	68	13	autoencoders	autoencoder	NOUN
cana-777	68	14	as	as	ADP
cana-777	68	15	unsupervised	unsupervised	ADJ
cana-777	68	16	feature	feature	NOUN
cana-777	68	17	learning	learning	NOUN
cana-777	68	18	models	model	NOUN
cana-777	68	19	.	.	PUNCT
cana-777	69	1	this	this	DET
cana-777	69	2	work	work	NOUN
cana-777	69	3	opened	open	VERB
cana-777	69	4	up	up	ADP
cana-777	69	5	new	new	ADJ
cana-777	69	6	avenues	avenue	NOUN
cana-777	69	7	for	for	ADP
cana-777	69	8	applying	apply	VERB
cana-777	69	9	autoencoders	autoencoder	NOUN
cana-777	69	10	in	in	ADP
cana-777	69	11	anomaly	anomaly	NOUN
cana-777	69	12	communications	communication	NOUN
cana-777	69	13	on	on	ADP
cana-777	69	14	applied	apply	VERB
cana-777	69	15	nonlinear	nonlinear	ADJ
cana-777	69	16	analysis	analysis	NOUN
cana-777	69	17	issn	issn	NOUN
cana-777	69	18	:	:	PUNCT
cana-777	69	19	1074	1074	NUM
cana-777	69	20	-	-	PUNCT
cana-777	69	21	133x	133x	NUM
cana-777	69	22	vol	vol	NOUN
cana-777	69	23	31	31	NUM
cana-777	69	24	no	no	NOUN
cana-777	69	25	.	.	PUNCT
cana-777	70	1	3s	3s	NUM
cana-777	70	2	(	(	PUNCT
cana-777	70	3	2024	2024	NUM
cana-777	70	4	)	)	PUNCT
cana-777	70	5	340	340	NUM
cana-777	70	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	70	7	detection	detection	NOUN
cana-777	70	8	,	,	PUNCT
cana-777	70	9	a	a	DET
cana-777	70	10	key	key	ADJ
cana-777	70	11	aspect	aspect	NOUN
cana-777	70	12	of	of	ADP
cana-777	70	13	nids.[13	nids.[13	PROPN
cana-777	70	14	]	]	PUNCT
cana-777	70	15	introduced	introduce	VERB
cana-777	70	16	the	the	DET
cana-777	70	17	concept	concept	NOUN
cana-777	70	18	of	of	ADP
cana-777	70	19	autoencoders	autoencoder	NOUN
cana-777	70	20	as	as	ADP
cana-777	70	21	a	a	DET
cana-777	70	22	novel	novel	ADJ
cana-777	70	23	type	type	NOUN
cana-777	70	24	of	of	ADP
cana-777	70	25	neural	neural	ADJ
cana-777	70	26	network	network	NOUN
cana-777	70	27	.	.	PUNCT
cana-777	71	1	autoencoders	autoencoder	NOUN
cana-777	71	2	are	be	AUX
cana-777	71	3	neural	neural	ADJ
cana-777	71	4	networks	network	NOUN
cana-777	71	5	designed	design	VERB
cana-777	71	6	to	to	PART
cana-777	71	7	learn	learn	VERB
cana-777	71	8	efficient	efficient	ADJ
cana-777	71	9	representations	representation	NOUN
cana-777	71	10	of	of	ADP
cana-777	71	11	data	datum	NOUN
cana-777	71	12	by	by	ADP
cana-777	71	13	compressing	compress	VERB
cana-777	71	14	it	it	PRON
cana-777	71	15	into	into	ADP
cana-777	71	16	a	a	DET
cana-777	71	17	lower	lower	ADV
cana-777	71	18	-	-	PUNCT
cana-777	71	19	dimensional	dimensional	ADJ
cana-777	71	20	space	space	NOUN
cana-777	71	21	(	(	PUNCT
cana-777	71	22	encoding	encoding	NOUN
cana-777	71	23	)	)	PUNCT
cana-777	71	24	and	and	CCONJ
cana-777	71	25	then	then	ADV
cana-777	71	26	reconstructing	reconstruct	VERB
cana-777	71	27	it	it	PRON
cana-777	71	28	as	as	ADV
cana-777	71	29	closely	closely	ADV
cana-777	71	30	as	as	ADP
cana-777	71	31	possible	possible	ADJ
cana-777	71	32	(	(	PUNCT
cana-777	71	33	decoding	decode	VERB
cana-777	71	34	)	)	PUNCT
cana-777	71	35	.	.	PUNCT
cana-777	72	1	hinton	hinton	PROPN
cana-777	72	2	and	and	CCONJ
cana-777	72	3	salakhutdinov	salakhutdinov	PROPN
cana-777	72	4	's	's	PART
cana-777	72	5	paper	paper	NOUN
cana-777	72	6	marked	mark	VERB
cana-777	72	7	a	a	DET
cana-777	72	8	pivotal	pivotal	ADJ
cana-777	72	9	moment	moment	NOUN
cana-777	72	10	in	in	ADP
cana-777	72	11	the	the	DET
cana-777	72	12	development	development	NOUN
cana-777	72	13	of	of	ADP
cana-777	72	14	deep	deep	ADJ
cana-777	72	15	learning	learning	NOUN
cana-777	72	16	and	and	CCONJ
cana-777	72	17	neural	neural	ADJ
cana-777	72	18	network	network	NOUN
cana-777	72	19	research	research	NOUN
cana-777	72	20	.	.	PUNCT
cana-777	73	1	[	[	X
cana-777	73	2	14	14	NUM
cana-777	73	3	]	]	PUNCT
cana-777	73	4	.	.	PUNCT
cana-777	74	1	it	it	PRON
cana-777	74	2	emphasized	emphasize	VERB
cana-777	74	3	the	the	DET
cana-777	74	4	potential	potential	NOUN
cana-777	74	5	of	of	ADP
cana-777	74	6	neural	neural	ADJ
cana-777	74	7	networks	network	NOUN
cana-777	74	8	,	,	PUNCT
cana-777	74	9	particularly	particularly	ADV
cana-777	74	10	deep	deep	ADJ
cana-777	74	11	autoencoders	autoencoder	NOUN
cana-777	74	12	,	,	PUNCT
cana-777	74	13	for	for	ADP
cana-777	74	14	unsupervised	unsupervised	ADJ
cana-777	74	15	feature	feature	NOUN
cana-777	74	16	learning	learning	NOUN
cana-777	74	17	.	.	PUNCT
cana-777	75	1	this	this	DET
cana-777	75	2	concept	concept	NOUN
cana-777	75	3	has	have	AUX
cana-777	75	4	since	since	ADV
cana-777	75	5	been	be	AUX
cana-777	75	6	instrumental	instrumental	ADJ
cana-777	75	7	in	in	ADP
cana-777	75	8	various	various	ADJ
cana-777	75	9	machine	machine	NOUN
cana-777	75	10	learning	learn	VERB
cana-777	75	11	applications	application	NOUN
cana-777	75	12	,	,	PUNCT
cana-777	75	13	including	include	VERB
cana-777	75	14	image	image	NOUN
cana-777	75	15	recognition	recognition	NOUN
cana-777	75	16	,	,	PUNCT
cana-777	75	17	language	language	NOUN
cana-777	75	18	understanding	understanding	NOUN
cana-777	75	19	,	,	PUNCT
cana-777	75	20	and	and	CCONJ
cana-777	75	21	,	,	PUNCT
cana-777	75	22	as	as	SCONJ
cana-777	75	23	mentioned	mention	VERB
cana-777	75	24	in	in	ADP
cana-777	75	25	your	your	PRON
cana-777	75	26	previous	previous	ADJ
cana-777	75	27	inquiry	inquiry	NOUN
cana-777	75	28	,	,	PUNCT
cana-777	75	29	intrusion	intrusion	NOUN
cana-777	75	30	detection	detection	NOUN
cana-777	75	31	.	.	PUNCT
cana-777	76	1	the	the	DET
cana-777	76	2	paper	paper	NOUN
cana-777	76	3	's	's	PART
cana-777	76	4	contribution	contribution	NOUN
cana-777	76	5	to	to	ADP
cana-777	76	6	dimensionality	dimensionality	NOUN
cana-777	76	7	reduction	reduction	NOUN
cana-777	76	8	and	and	CCONJ
cana-777	76	9	feature	feature	NOUN
cana-777	76	10	learning	learning	NOUN
cana-777	76	11	has	have	AUX
cana-777	76	12	influenced	influence	VERB
cana-777	76	13	the	the	DET
cana-777	76	14	design	design	NOUN
cana-777	76	15	of	of	ADP
cana-777	76	16	neural	neural	ADJ
cana-777	76	17	network	network	NOUN
cana-777	76	18	architectures	architecture	NOUN
cana-777	76	19	and	and	CCONJ
cana-777	76	20	algorithms	algorithm	NOUN
cana-777	76	21	in	in	ADP
cana-777	76	22	both	both	CCONJ
cana-777	76	23	academia	academia	NOUN
cana-777	76	24	and	and	CCONJ
cana-777	76	25	industry	industry	NOUN
cana-777	76	26	,	,	PUNCT
cana-777	76	27	playing	play	VERB
cana-777	76	28	a	a	DET
cana-777	76	29	crucial	crucial	ADJ
cana-777	76	30	role	role	NOUN
cana-777	76	31	in	in	ADP
cana-777	76	32	the	the	DET
cana-777	76	33	resurgence	resurgence	NOUN
cana-777	76	34	of	of	ADP
cana-777	76	35	neural	neural	ADJ
cana-777	76	36	networks	network	NOUN
cana-777	76	37	as	as	ADP
cana-777	76	38	a	a	DET
cana-777	76	39	dominant	dominant	ADJ
cana-777	76	40	paradigm	paradigm	NOUN
cana-777	76	41	in	in	ADP
cana-777	76	42	machine	machine	NOUN
cana-777	76	43	learning	learning	NOUN
cana-777	76	44	.	.	PUNCT
cana-777	77	1	elazab	elazab	PROPN
cana-777	77	2	et	et	PROPN
cana-777	77	3	al	al	PROPN
cana-777	77	4	.	.	PUNCT
cana-777	78	1	(	(	PUNCT
cana-777	78	2	2016	2016	NUM
cana-777	78	3	)	)	PUNCT
cana-777	78	4	,	,	PUNCT
cana-777	78	5	who	who	PRON
cana-777	78	6	applied	apply	VERB
cana-777	78	7	autoencoders	autoencoder	NOUN
cana-777	78	8	to	to	PART
cana-777	78	9	intrusion	intrusion	NOUN
cana-777	78	10	detection	detection	NOUN
cana-777	78	11	in	in	ADP
cana-777	78	12	ad	ad	X
cana-777	78	13	hoc	hoc	X
cana-777	78	14	networks	network	NOUN
cana-777	78	15	ad	ad	X
cana-777	78	16	hoc	hoc	X
cana-777	78	17	networks	network	NOUN
cana-777	78	18	are	be	AUX
cana-777	78	19	wireless	wireless	ADJ
cana-777	78	20	networks	network	NOUN
cana-777	78	21	where	where	SCONJ
cana-777	78	22	nodes	node	NOUN
cana-777	78	23	communicate	communicate	VERB
cana-777	78	24	with	with	ADP
cana-777	78	25	each	each	DET
cana-777	78	26	other	other	ADJ
cana-777	78	27	directly	directly	ADV
cana-777	78	28	,	,	PUNCT
cana-777	78	29	without	without	ADP
cana-777	78	30	the	the	DET
cana-777	78	31	need	need	NOUN
cana-777	78	32	for	for	ADP
cana-777	78	33	a	a	DET
cana-777	78	34	central	central	ADJ
cana-777	78	35	access	access	NOUN
cana-777	78	36	point	point	NOUN
cana-777	78	37	.	.	PUNCT
cana-777	79	1	due	due	ADP
cana-777	79	2	to	to	ADP
cana-777	79	3	their	their	PRON
cana-777	79	4	dynamic	dynamic	ADJ
cana-777	79	5	and	and	CCONJ
cana-777	79	6	decentralized	decentralized	ADJ
cana-777	79	7	nature	nature	NOUN
cana-777	79	8	,	,	PUNCT
cana-777	79	9	securing	secure	VERB
cana-777	79	10	ad	ad	NOUN
cana-777	79	11	hoc	hoc	X
cana-777	79	12	networks	network	NOUN
cana-777	79	13	is	be	AUX
cana-777	79	14	challenging	challenge	VERB
cana-777	79	15	.	.	PUNCT
cana-777	80	1	intrusion	intrusion	NOUN
cana-777	80	2	detection	detection	NOUN
cana-777	80	3	systems	system	NOUN
cana-777	80	4	play	play	VERB
cana-777	80	5	a	a	DET
cana-777	80	6	crucial	crucial	ADJ
cana-777	80	7	role	role	NOUN
cana-777	80	8	in	in	ADP
cana-777	80	9	identifying	identify	VERB
cana-777	80	10	malicious	malicious	ADJ
cana-777	80	11	activities	activity	NOUN
cana-777	80	12	within	within	ADP
cana-777	80	13	these	these	DET
cana-777	80	14	networks	network	NOUN
cana-777	80	15	.	.	PUNCT
cana-777	81	1	autoencoder	autoencoder	NOUN
cana-777	81	2	neural	neural	ADJ
cana-777	81	3	networks	network	NOUN
cana-777	81	4	have	have	AUX
cana-777	81	5	been	be	AUX
cana-777	81	6	explored	explore	VERB
cana-777	81	7	as	as	ADP
cana-777	81	8	a	a	DET
cana-777	81	9	potential	potential	ADJ
cana-777	81	10	solution	solution	NOUN
cana-777	81	11	for	for	ADP
cana-777	81	12	intrusion	intrusion	NOUN
cana-777	81	13	detection	detection	NOUN
cana-777	81	14	in	in	ADP
cana-777	81	15	ad	ad	X
cana-777	81	16	hoc	hoc	X
cana-777	81	17	networks	network	NOUN
cana-777	81	18	[	[	X
cana-777	81	19	15	15	NUM
cana-777	81	20	]	]	X
cana-777	81	21	abu	abu	PROPN
cana-777	81	22	talib	talib	PROPN
cana-777	81	23	and	and	CCONJ
cana-777	81	24	ahmad	ahmad	PROPN
cana-777	81	25	(	(	PUNCT
cana-777	81	26	2018	2018	NUM
cana-777	81	27	)	)	PUNCT
cana-777	81	28	,	,	PUNCT
cana-777	81	29	who	who	PRON
cana-777	81	30	explored	explore	VERB
cana-777	81	31	their	their	PRON
cana-777	81	32	use	use	NOUN
cana-777	81	33	in	in	ADP
cana-777	81	34	iot	iot	ADJ
cana-777	81	35	environments	environment	NOUN
cana-777	81	36	.	.	PUNCT
cana-777	82	1	these	these	DET
cana-777	82	2	studies	study	NOUN
cana-777	82	3	demonstrate	demonstrate	VERB
cana-777	82	4	the	the	DET
cana-777	82	5	adaptability	adaptability	NOUN
cana-777	82	6	of	of	ADP
cana-777	82	7	autoencoders	autoencoder	NOUN
cana-777	82	8	to	to	ADP
cana-777	82	9	various	various	ADJ
cana-777	82	10	network	network	NOUN
cana-777	82	11	contexts	contexts	NOUN
cana-777	82	12	.	.	PUNCT
cana-777	83	1	the	the	DET
cana-777	83	2	internet	internet	NOUN
cana-777	83	3	of	of	ADP
cana-777	83	4	things	thing	NOUN
cana-777	83	5	(	(	PUNCT
cana-777	83	6	iot	iot	NOUN
cana-777	83	7	)	)	PUNCT
cana-777	83	8	is	be	AUX
cana-777	83	9	characterized	characterize	VERB
cana-777	83	10	by	by	ADP
cana-777	83	11	a	a	DET
cana-777	83	12	vast	vast	ADJ
cana-777	83	13	network	network	NOUN
cana-777	83	14	of	of	ADP
cana-777	83	15	interconnected	interconnected	ADJ
cana-777	83	16	devices	device	NOUN
cana-777	83	17	,	,	PUNCT
cana-777	83	18	sensors	sensor	NOUN
cana-777	83	19	,	,	PUNCT
cana-777	83	20	and	and	CCONJ
cana-777	83	21	systems	system	NOUN
cana-777	83	22	,	,	PUNCT
cana-777	83	23	making	make	VERB
cana-777	83	24	it	it	PRON
cana-777	83	25	vulnerable	vulnerable	ADJ
cana-777	83	26	to	to	ADP
cana-777	83	27	various	various	ADJ
cana-777	83	28	security	security	NOUN
cana-777	83	29	threats	threat	NOUN
cana-777	83	30	.	.	PUNCT
cana-777	84	1	intrusion	intrusion	NOUN
cana-777	84	2	detection	detection	NOUN
cana-777	84	3	is	be	AUX
cana-777	84	4	crucial	crucial	ADJ
cana-777	84	5	to	to	PART
cana-777	84	6	protect	protect	VERB
cana-777	84	7	iot	iot	ADJ
cana-777	84	8	ecosystems	ecosystem	NOUN
cana-777	84	9	from	from	ADP
cana-777	84	10	malicious	malicious	ADJ
cana-777	84	11	activities	activity	NOUN
cana-777	84	12	.	.	PUNCT
cana-777	85	1	autoencoder	autoencoder	NOUN
cana-777	85	2	neural	neural	ADJ
cana-777	85	3	networks	network	NOUN
cana-777	85	4	have	have	AUX
cana-777	85	5	been	be	AUX
cana-777	85	6	explored	explore	VERB
cana-777	85	7	as	as	ADP
cana-777	85	8	a	a	DET
cana-777	85	9	potential	potential	ADJ
cana-777	85	10	solution	solution	NOUN
cana-777	85	11	for	for	ADP
cana-777	85	12	iot	iot	PROPN
cana-777	85	13	intrusion	intrusion	NOUN
cana-777	85	14	detection	detection	NOUN
cana-777	85	15	.	.	PUNCT
cana-777	86	1	the	the	DET
cana-777	86	2	application	application	NOUN
cana-777	86	3	of	of	ADP
cana-777	86	4	autoencoders	autoencoder	NOUN
cana-777	86	5	in	in	ADP
cana-777	86	6	iot	iot	PROPN
cana-777	86	7	intrusion	intrusion	NOUN
cana-777	86	8	detection	detection	NOUN
cana-777	86	9	is	be	AUX
cana-777	86	10	a	a	DET
cana-777	86	11	promising	promising	ADJ
cana-777	86	12	area	area	NOUN
cana-777	86	13	of	of	ADP
cana-777	86	14	research	research	NOUN
cana-777	86	15	,	,	PUNCT
cana-777	86	16	given	give	VERB
cana-777	86	17	the	the	DET
cana-777	86	18	unique	unique	ADJ
cana-777	86	19	challenges	challenge	NOUN
cana-777	86	20	posed	pose	VERB
cana-777	86	21	by	by	ADP
cana-777	86	22	iot	iot	ADJ
cana-777	86	23	environments	environment	NOUN
cana-777	86	24	,	,	PUNCT
cana-777	86	25	including	include	VERB
cana-777	86	26	the	the	DET
cana-777	86	27	diversity	diversity	NOUN
cana-777	86	28	of	of	ADP
cana-777	86	29	devices	device	NOUN
cana-777	86	30	,	,	PUNCT
cana-777	86	31	data	datum	NOUN
cana-777	86	32	types	type	NOUN
cana-777	86	33	,	,	PUNCT
cana-777	86	34	and	and	CCONJ
cana-777	86	35	potential	potential	ADJ
cana-777	86	36	attack	attack	NOUN
cana-777	86	37	vectors	vector	NOUN
cana-777	86	38	.	.	PUNCT
cana-777	87	1	researchers	researcher	NOUN
cana-777	87	2	and	and	CCONJ
cana-777	87	3	practitioners	practitioner	NOUN
cana-777	87	4	continue	continue	VERB
cana-777	87	5	to	to	PART
cana-777	87	6	explore	explore	VERB
cana-777	87	7	innovative	innovative	ADJ
cana-777	87	8	techniques	technique	NOUN
cana-777	87	9	to	to	PART
cana-777	87	10	enhance	enhance	VERB
cana-777	87	11	the	the	DET
cana-777	87	12	security	security	NOUN
cana-777	87	13	of	of	ADP
cana-777	87	14	iot	iot	NOUN
cana-777	87	15	ecosystems	ecosystem	NOUN
cana-777	87	16	while	while	SCONJ
cana-777	87	17	minimizing	minimize	VERB
cana-777	87	18	false	false	ADJ
cana-777	87	19	positives	positive	NOUN
cana-777	87	20	and	and	CCONJ
cana-777	87	21	preserving	preserve	VERB
cana-777	87	22	efficiency	efficiency	NOUN
cana-777	87	23	and	and	CCONJ
cana-777	87	24	privacy	privacy	NOUN
cana-777	87	25	.	.	PUNCT
cana-777	88	1	ghosh	ghosh	PROPN
cana-777	88	2	et	et	PROPN
cana-777	88	3	al	al	PROPN
cana-777	88	4	.	.	PROPN
cana-777	89	1	(	(	PUNCT
cana-777	89	2	2020	2020	NUM
cana-777	89	3	)	)	PUNCT
cana-777	89	4	highlights	highlight	VERB
cana-777	89	5	the	the	DET
cana-777	89	6	application	application	NOUN
cana-777	89	7	of	of	ADP
cana-777	89	8	variational	variational	ADJ
cana-777	89	9	autoencoders	autoencoder	NOUN
cana-777	89	10	for	for	ADP
cana-777	89	11	anomaly	anomaly	NOUN
cana-777	89	12	detection	detection	NOUN
cana-777	89	13	in	in	ADP
cana-777	89	14	industrial	industrial	ADJ
cana-777	89	15	internet	internet	NOUN
cana-777	89	16	of	of	ADP
cana-777	89	17	things	thing	NOUN
cana-777	89	18	(	(	PUNCT
cana-777	89	19	iot	iot	NOUN
cana-777	89	20	)	)	PUNCT
cana-777	89	21	networks	network	NOUN
cana-777	89	22	.	.	PUNCT
cana-777	90	1	this	this	DET
cana-777	90	2	research	research	NOUN
cana-777	90	3	showcases	showcase	VERB
cana-777	90	4	the	the	DET
cana-777	90	5	evolving	evolve	VERB
cana-777	90	6	sophistication	sophistication	NOUN
cana-777	90	7	of	of	ADP
cana-777	90	8	autoencoder	autoencoder	NOUN
cana-777	90	9	-	-	PUNCT
cana-777	90	10	based	base	VERB
cana-777	90	11	intrusion	intrusion	NOUN
cana-777	90	12	detection	detection	NOUN
cana-777	90	13	techniques	technique	NOUN
cana-777	90	14	.	.	PUNCT
cana-777	91	1	variational	variational	ADJ
cana-777	91	2	autoencoders	autoencoder	NOUN
cana-777	91	3	(	(	PUNCT
cana-777	91	4	vaes	vaes	ADJ
cana-777	91	5	)	)	PUNCT
cana-777	91	6	are	be	AUX
cana-777	91	7	a	a	DET
cana-777	91	8	type	type	NOUN
cana-777	91	9	of	of	ADP
cana-777	91	10	generative	generative	ADJ
cana-777	91	11	model	model	NOUN
cana-777	91	12	that	that	PRON
cana-777	91	13	has	have	AUX
cana-777	91	14	gained	gain	VERB
cana-777	91	15	attention	attention	NOUN
cana-777	91	16	for	for	ADP
cana-777	91	17	their	their	PRON
cana-777	91	18	application	application	NOUN
cana-777	91	19	in	in	ADP
cana-777	91	20	anomaly	anomaly	NOUN
cana-777	91	21	detection	detection	NOUN
cana-777	91	22	,	,	PUNCT
cana-777	91	23	including	include	VERB
cana-777	91	24	in	in	ADP
cana-777	91	25	the	the	DET
cana-777	91	26	context	context	NOUN
cana-777	91	27	of	of	ADP
cana-777	91	28	industrial	industrial	ADJ
cana-777	91	29	internet	internet	NOUN
cana-777	91	30	of	of	ADP
cana-777	91	31	things	thing	NOUN
cana-777	91	32	(	(	PUNCT
cana-777	91	33	iiot	iiot	NOUN
cana-777	91	34	)	)	PUNCT
cana-777	91	35	networks	network	NOUN
cana-777	91	36	vaes	vaes	NOUN
cana-777	91	37	can	can	AUX
cana-777	91	38	operate	operate	VERB
cana-777	91	39	in	in	ADP
cana-777	91	40	an	an	DET
cana-777	91	41	unsupervised	unsupervised	ADJ
cana-777	91	42	learning	learning	NOUN
cana-777	91	43	mode	mode	NOUN
cana-777	91	44	,	,	PUNCT
cana-777	91	45	which	which	PRON
cana-777	91	46	is	be	AUX
cana-777	91	47	particularly	particularly	ADV
cana-777	91	48	useful	useful	ADJ
cana-777	91	49	in	in	ADP
cana-777	91	50	iot	iot	ADJ
cana-777	91	51	environments	environment	NOUN
cana-777	91	52	where	where	SCONJ
cana-777	91	53	labeled	label	VERB
cana-777	91	54	training	training	NOUN
cana-777	91	55	data	datum	NOUN
cana-777	91	56	may	may	AUX
cana-777	91	57	be	be	AUX
cana-777	91	58	scarce	scarce	ADJ
cana-777	91	59	or	or	CCONJ
cana-777	91	60	impractical	impractical	ADJ
cana-777	91	61	to	to	PART
cana-777	91	62	obtain	obtain	VERB
cana-777	91	63	.	.	PUNCT
cana-777	92	1	vaes	vaes	NOUN
cana-777	92	2	can	can	AUX
cana-777	92	3	learn	learn	VERB
cana-777	92	4	the	the	DET
cana-777	92	5	underlying	underlie	VERB
cana-777	92	6	patterns	pattern	NOUN
cana-777	92	7	in	in	ADP
cana-777	92	8	the	the	DET
cana-777	92	9	data	datum	NOUN
cana-777	92	10	without	without	ADP
cana-777	92	11	requiring	require	VERB
cana-777	92	12	explicit	explicit	ADJ
cana-777	92	13	labels	label	NOUN
cana-777	92	14	.	.	PUNCT
cana-777	93	1	vaes	vaes	NOUN
cana-777	93	2	use	use	VERB
cana-777	93	3	a	a	DET
cana-777	93	4	probabilistic	probabilistic	ADJ
cana-777	93	5	approach	approach	NOUN
cana-777	93	6	to	to	ADP
cana-777	93	7	encode	encode	VERB
cana-777	93	8	data	datum	NOUN
cana-777	93	9	into	into	ADP
cana-777	93	10	a	a	DET
cana-777	93	11	lower	lower	ADV
cana-777	93	12	-	-	PUNCT
cana-777	93	13	dimensional	dimensional	ADJ
cana-777	93	14	latent	latent	NOUN
cana-777	93	15	space	space	NOUN
cana-777	93	16	.	.	PUNCT
cana-777	94	1	in	in	ADP
cana-777	94	2	the	the	DET
cana-777	94	3	context	context	NOUN
cana-777	94	4	of	of	ADP
cana-777	94	5	iot	iot	NOUN
cana-777	94	6	,	,	PUNCT
cana-777	94	7	this	this	PRON
cana-777	94	8	can	can	AUX
cana-777	94	9	represent	represent	VERB
cana-777	94	10	the	the	DET
cana-777	94	11	normal	normal	ADJ
cana-777	94	12	operating	operating	NOUN
cana-777	94	13	conditions	condition	NOUN
cana-777	94	14	of	of	ADP
cana-777	94	15	devices	device	NOUN
cana-777	94	16	and	and	CCONJ
cana-777	94	17	sensors	sensor	NOUN
cana-777	94	18	.	.	PUNCT
cana-777	95	1	anomalies	anomaly	NOUN
cana-777	95	2	are	be	AUX
cana-777	95	3	identified	identify	VERB
cana-777	95	4	when	when	SCONJ
cana-777	95	5	data	datum	NOUN
cana-777	95	6	points	point	NOUN
cana-777	95	7	deviate	deviate	VERB
cana-777	95	8	significantly	significantly	ADV
cana-777	95	9	from	from	ADP
cana-777	95	10	this	this	DET
cana-777	95	11	learned	learn	VERB
cana-777	95	12	latent	latent	NOUN
cana-777	95	13	space	space	NOUN
cana-777	95	14	.	.	PUNCT
cana-777	96	1	the	the	DET
cana-777	96	2	application	application	NOUN
cana-777	96	3	of	of	ADP
cana-777	96	4	vaes	vaes	NOUN
cana-777	96	5	in	in	ADP
cana-777	96	6	iiot	iiot	PROPN
cana-777	96	7	anomaly	anomaly	NOUN
cana-777	96	8	detection	detection	NOUN
cana-777	96	9	aligns	align	VERB
cana-777	96	10	with	with	ADP
cana-777	96	11	the	the	DET
cana-777	96	12	broader	broad	ADJ
cana-777	96	13	trend	trend	NOUN
cana-777	96	14	of	of	ADP
cana-777	96	15	leveraging	leverage	VERB
cana-777	96	16	advanced	advanced	ADJ
cana-777	96	17	machine	machine	NOUN
cana-777	96	18	learning	learn	VERB
cana-777	96	19	techniques	technique	NOUN
cana-777	96	20	to	to	PART
cana-777	96	21	enhance	enhance	VERB
cana-777	96	22	the	the	DET
cana-777	96	23	security	security	NOUN
cana-777	96	24	,	,	PUNCT
cana-777	96	25	reliability	reliability	NOUN
cana-777	96	26	,	,	PUNCT
cana-777	96	27	and	and	CCONJ
cana-777	96	28	efficiency	efficiency	NOUN
cana-777	96	29	of	of	ADP
cana-777	96	30	industrial	industrial	ADJ
cana-777	96	31	processes	process	NOUN
cana-777	96	32	.	.	PUNCT
cana-777	97	1	researchers	researcher	NOUN
cana-777	97	2	and	and	CCONJ
cana-777	97	3	practitioners	practitioner	NOUN
cana-777	97	4	are	be	AUX
cana-777	97	5	continually	continually	ADV
cana-777	97	6	exploring	explore	VERB
cana-777	97	7	innovative	innovative	ADJ
cana-777	97	8	approaches	approach	NOUN
cana-777	97	9	to	to	ADP
cana-777	97	10	safeguarding	safeguard	VERB
cana-777	97	11	iiot	iiot	NOUN
cana-777	97	12	networks	network	NOUN
cana-777	97	13	and	and	CCONJ
cana-777	97	14	ensuring	ensure	VERB
cana-777	97	15	uninterrupted	uninterrupted	ADJ
cana-777	97	16	industrial	industrial	ADJ
cana-777	97	17	operations	operation	NOUN
cana-777	97	18	.	.	PUNCT
cana-777	98	1	communications	communication	NOUN
cana-777	98	2	on	on	ADP
cana-777	98	3	applied	apply	VERB
cana-777	98	4	nonlinear	nonlinear	ADJ
cana-777	98	5	analysis	analysis	NOUN
cana-777	98	6	issn	issn	NOUN
cana-777	98	7	:	:	PUNCT
cana-777	98	8	1074	1074	NUM
cana-777	98	9	-	-	PUNCT
cana-777	98	10	133x	133x	NUM
cana-777	98	11	vol	vol	NOUN
cana-777	98	12	31	31	NUM
cana-777	98	13	no	no	NOUN
cana-777	98	14	.	.	PUNCT
cana-777	99	1	3s	3s	NUM
cana-777	99	2	(	(	PUNCT
cana-777	99	3	2024	2024	NUM
cana-777	99	4	)	)	PUNCT
cana-777	99	5	341	341	NUM
cana-777	99	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	99	7	autoencoder	autoencoder	NOUN
cana-777	99	8	neural	neural	ADJ
cana-777	99	9	networks	network	NOUN
cana-777	99	10	have	have	AUX
cana-777	99	11	emerged	emerge	VERB
cana-777	99	12	as	as	ADP
cana-777	99	13	a	a	DET
cana-777	99	14	promising	promising	ADJ
cana-777	99	15	approach	approach	NOUN
cana-777	99	16	to	to	PART
cana-777	99	17	enhance	enhance	VERB
cana-777	99	18	nids	nid	NOUN
cana-777	99	19	.	.	PUNCT
cana-777	100	1	the	the	DET
cana-777	100	2	literature	literature	NOUN
cana-777	100	3	review	review	NOUN
cana-777	100	4	demonstrates	demonstrate	VERB
cana-777	100	5	their	their	PRON
cana-777	100	6	evolution	evolution	NOUN
cana-777	100	7	from	from	ADP
cana-777	100	8	foundational	foundational	ADJ
cana-777	100	9	concepts	concept	NOUN
cana-777	100	10	in	in	ADP
cana-777	100	11	trust	trust	NOUN
cana-777	100	12	and	and	CCONJ
cana-777	100	13	reputation	reputation	NOUN
cana-777	100	14	modeling	modeling	NOUN
cana-777	100	15	to	to	ADP
cana-777	100	16	practical	practical	ADJ
cana-777	100	17	applications	application	NOUN
cana-777	100	18	in	in	ADP
cana-777	100	19	diverse	diverse	ADJ
cana-777	100	20	network	network	NOUN
cana-777	100	21	environments	environment	NOUN
cana-777	100	22	.	.	PUNCT
cana-777	101	1	[	[	X
cana-777	101	2	17]this	17]this	NUM
cana-777	101	3	progression	progression	NOUN
cana-777	101	4	underscores	underscore	VERB
cana-777	101	5	the	the	DET
cana-777	101	6	potential	potential	NOUN
cana-777	101	7	for	for	ADP
cana-777	101	8	autoencoder	autoencoder	NOUN
cana-777	101	9	-	-	PUNCT
cana-777	101	10	based	base	VERB
cana-777	101	11	nids	nid	NOUN
cana-777	101	12	to	to	PART
cana-777	101	13	provide	provide	VERB
cana-777	101	14	more	more	ADV
cana-777	101	15	robust	robust	ADJ
cana-777	101	16	and	and	CCONJ
cana-777	101	17	adaptable	adaptable	ADJ
cana-777	101	18	solutions	solution	NOUN
cana-777	101	19	for	for	ADP
cana-777	101	20	identifying	identify	VERB
cana-777	101	21	network	network	NOUN
cana-777	101	22	intrusions	intrusion	NOUN
cana-777	101	23	and	and	CCONJ
cana-777	101	24	safeguarding	safeguard	VERB
cana-777	101	25	digital	digital	ADJ
cana-777	101	26	assets	asset	NOUN
cana-777	101	27	in	in	ADP
cana-777	101	28	an	an	DET
cana-777	101	29	ever	ever	ADV
cana-777	101	30	-	-	PUNCT
cana-777	101	31	evolving	evolve	VERB
cana-777	101	32	cybersecurity	cybersecurity	NOUN
cana-777	101	33	landscape.[16	landscape.[16	NOUN
cana-777	101	34	]	]	PUNCT
cana-777	101	35	4	4	NUM
cana-777	101	36	comparative	comparative	ADJ
cana-777	101	37	studies	study	NOUN
cana-777	101	38	autoencoder	autoencoder	PROPN
cana-777	101	39	neural	neural	ADJ
cana-777	101	40	networks	network	NOUN
cana-777	101	41	have	have	AUX
cana-777	101	42	emerged	emerge	VERB
cana-777	101	43	as	as	ADP
cana-777	101	44	a	a	DET
cana-777	101	45	promising	promising	ADJ
cana-777	101	46	approach	approach	NOUN
cana-777	101	47	to	to	PART
cana-777	101	48	enhance	enhance	VERB
cana-777	101	49	nids	nid	NOUN
cana-777	101	50	.	.	PUNCT
cana-777	102	1	the	the	DET
cana-777	102	2	literature	literature	NOUN
cana-777	102	3	review	review	NOUN
cana-777	102	4	demonstrates	demonstrate	VERB
cana-777	102	5	their	their	PRON
cana-777	102	6	evolution	evolution	NOUN
cana-777	102	7	from	from	ADP
cana-777	102	8	foundational	foundational	ADJ
cana-777	102	9	concepts	concept	NOUN
cana-777	102	10	in	in	ADP
cana-777	102	11	trust	trust	NOUN
cana-777	102	12	and	and	CCONJ
cana-777	102	13	reputation	reputation	NOUN
cana-777	102	14	modeling	modeling	NOUN
cana-777	102	15	to	to	ADP
cana-777	102	16	practical	practical	ADJ
cana-777	102	17	applications	application	NOUN
cana-777	102	18	in	in	ADP
cana-777	102	19	diverse	diverse	ADJ
cana-777	102	20	network	network	NOUN
cana-777	102	21	environment	environment	NOUN
cana-777	102	22	[	[	X
cana-777	102	23	17].this	17].this	NUM
cana-777	102	24	progression	progression	NOUN
cana-777	102	25	underscores	underscore	VERB
cana-777	102	26	the	the	DET
cana-777	102	27	potential	potential	NOUN
cana-777	102	28	for	for	ADP
cana-777	102	29	autoencoder	autoencoder	NOUN
cana-777	102	30	-	-	PUNCT
cana-777	102	31	based	base	VERB
cana-777	102	32	nids	nid	NOUN
cana-777	102	33	to	to	PART
cana-777	102	34	provide	provide	VERB
cana-777	102	35	more	more	ADV
cana-777	102	36	robust	robust	ADJ
cana-777	102	37	and	and	CCONJ
cana-777	102	38	adaptable	adaptable	ADJ
cana-777	102	39	solutions	solution	NOUN
cana-777	102	40	for	for	ADP
cana-777	102	41	identifying	identify	VERB
cana-777	102	42	network	network	NOUN
cana-777	102	43	intrusions	intrusion	NOUN
cana-777	102	44	and	and	CCONJ
cana-777	102	45	safeguarding	safeguard	VERB
cana-777	102	46	digital	digital	ADJ
cana-777	102	47	assets	asset	NOUN
cana-777	102	48	in	in	ADP
cana-777	102	49	an	an	DET
cana-777	102	50	ever	ever	ADV
cana-777	102	51	-	-	PUNCT
cana-777	102	52	evolving	evolve	VERB
cana-777	102	53	cybersecurity	cybersecurity	NOUN
cana-777	102	54	landscape.[16	landscape.[16	NOUN
cana-777	102	55	]	]	PUNCT
cana-777	102	56	5	5	NUM
cana-777	102	57	research	research	NOUN
cana-777	102	58	methodology	methodology	NOUN
cana-777	102	59	the	the	DET
cana-777	102	60	research	research	NOUN
cana-777	102	61	methodology	methodology	NOUN
cana-777	102	62	employed	employ	VERB
cana-777	102	63	in	in	ADP
cana-777	102	64	this	this	DET
cana-777	102	65	study	study	NOUN
cana-777	102	66	encompasses	encompass	VERB
cana-777	102	67	several	several	ADJ
cana-777	102	68	phases	phase	NOUN
cana-777	102	69	:	:	PUNCT
cana-777	102	70	a.	a.	NOUN
cana-777	102	71	pre	pre	VERB
cana-777	102	72	-	-	VERB
cana-777	102	73	processing	process	VERB
cana-777	102	74	the	the	DET
cana-777	102	75	primary	primary	ADJ
cana-777	102	76	objective	objective	NOUN
cana-777	102	77	of	of	ADP
cana-777	102	78	this	this	DET
cana-777	102	79	research	research	NOUN
cana-777	102	80	is	be	AUX
cana-777	102	81	to	to	PART
cana-777	102	82	detect	detect	VERB
cana-777	102	83	various	various	ADJ
cana-777	102	84	types	type	NOUN
cana-777	102	85	of	of	ADP
cana-777	102	86	attacks	attack	NOUN
cana-777	102	87	initiated	initiate	VERB
cana-777	102	88	by	by	ADP
cana-777	102	89	adversary	adversary	NOUN
cana-777	102	90	nodes	node	NOUN
cana-777	102	91	within	within	ADP
cana-777	102	92	the	the	DET
cana-777	102	93	network	network	NOUN
cana-777	102	94	,	,	PUNCT
cana-777	102	95	particularly	particularly	ADV
cana-777	102	96	active	active	ADJ
cana-777	102	97	attacks	attack	NOUN
cana-777	102	98	such	such	ADJ
cana-777	102	99	as	as	ADP
cana-777	102	100	location	location	NOUN
cana-777	102	101	protection	protection	NOUN
cana-777	102	102	attacks	attack	NOUN
cana-777	102	103	,	,	PUNCT
cana-777	102	104	which	which	PRON
cana-777	102	105	can	can	AUX
cana-777	102	106	significantly	significantly	ADV
cana-777	102	107	disrupt	disrupt	VERB
cana-777	102	108	network	network	NOUN
cana-777	102	109	operations	operation	NOUN
cana-777	102	110	.	.	PUNCT
cana-777	103	1	adversaries	adversary	NOUN
cana-777	103	2	are	be	AUX
cana-777	103	3	identified	identify	VERB
cana-777	103	4	using	use	VERB
cana-777	103	5	a	a	DET
cana-777	103	6	combination	combination	NOUN
cana-777	103	7	of	of	ADP
cana-777	103	8	node	node	ADJ
cana-777	103	9	location	location	NOUN
cana-777	103	10	methods	method	NOUN
cana-777	103	11	and	and	CCONJ
cana-777	103	12	a	a	DET
cana-777	103	13	trust	trust	NOUN
cana-777	103	14	-	-	PUNCT
cana-777	103	15	based	base	VERB
cana-777	103	16	approach	approach	NOUN
cana-777	103	17	.	.	PUNCT
cana-777	104	1	b.	b.	PROPN
cana-777	104	2	application	application	NOUN
cana-777	104	3	of	of	ADP
cana-777	104	4	rssi	rssi	ADJ
cana-777	104	5	technique	technique	NOUN
cana-777	104	6	:	:	PUNCT
cana-777	104	7	rssi	rssi	NOUN
cana-777	104	8	(	(	PUNCT
cana-777	104	9	received	receive	VERB
cana-777	104	10	signal	signal	NOUN
cana-777	104	11	strength	strength	NOUN
cana-777	104	12	indicator	indicator	NOUN
cana-777	104	13	)	)	PUNCT
cana-777	104	14	is	be	AUX
cana-777	104	15	utilized	utilize	VERB
cana-777	104	16	as	as	ADP
cana-777	104	17	a	a	DET
cana-777	104	18	node	node	ADJ
cana-777	104	19	location	location	NOUN
cana-777	104	20	scheme	scheme	NOUN
cana-777	104	21	,	,	PUNCT
cana-777	104	22	representing	represent	VERB
cana-777	104	23	the	the	DET
cana-777	104	24	power	power	NOUN
cana-777	104	25	status	status	NOUN
cana-777	104	26	received	receive	VERB
cana-777	104	27	by	by	ADP
cana-777	104	28	anchor	anchor	NOUN
cana-777	104	29	nodes	node	NOUN
cana-777	104	30	.	.	PUNCT
cana-777	105	1	this	this	DET
cana-777	105	2	approach	approach	NOUN
cana-777	105	3	is	be	AUX
cana-777	105	4	widely	widely	ADV
cana-777	105	5	adopted	adopt	VERB
cana-777	105	6	in	in	ADP
cana-777	105	7	wireless	wireless	ADJ
cana-777	105	8	communication	communication	NOUN
cana-777	105	9	standards	standard	NOUN
cana-777	105	10	,	,	PUNCT
cana-777	105	11	quantifying	quantify	VERB
cana-777	105	12	the	the	DET
cana-777	105	13	electromagnetic	electromagnetic	ADJ
cana-777	105	14	wave	wave	NOUN
cana-777	105	15	energy	energy	NOUN
cana-777	105	16	within	within	ADP
cana-777	105	17	the	the	DET
cana-777	105	18	medium	medium	NOUN
cana-777	105	19	by	by	ADP
cana-777	105	20	measuring	measure	VERB
cana-777	105	21	the	the	DET
cana-777	105	22	power	power	NOUN
cana-777	105	23	of	of	ADP
cana-777	105	24	the	the	DET
cana-777	105	25	received	receive	VERB
cana-777	105	26	signal[18	signal[18	PROPN
cana-777	105	27	]	]	PUNCT
cana-777	105	28	.	.	PUNCT
cana-777	106	1	c.	c.	PROPN
cana-777	106	2	trust	trust	PROPN
cana-777	106	3	-	-	PUNCT
cana-777	106	4	based	base	VERB
cana-777	106	5	mechanism	mechanism	NOUN
cana-777	106	6	:	:	PUNCT
cana-777	106	7	malicious	malicious	ADJ
cana-777	106	8	devices	device	NOUN
cana-777	106	9	are	be	AUX
cana-777	106	10	detected	detect	VERB
cana-777	106	11	through	through	ADP
cana-777	106	12	a	a	DET
cana-777	106	13	trust	trust	NOUN
cana-777	106	14	-	-	PUNCT
cana-777	106	15	based	base	VERB
cana-777	106	16	technique	technique	NOUN
cana-777	106	17	that	that	PRON
cana-777	106	18	assesses	assess	VERB
cana-777	106	19	the	the	DET
cana-777	106	20	energy	energy	NOUN
cana-777	106	21	level	level	NOUN
cana-777	106	22	of	of	ADP
cana-777	106	23	each	each	DET
cana-777	106	24	node	node	NOUN
cana-777	106	25	.	.	PUNCT
cana-777	107	1	suspicious	suspicious	ADJ
cana-777	107	2	nodes	node	NOUN
cana-777	107	3	are	be	AUX
cana-777	107	4	identified	identify	VERB
cana-777	107	5	based	base	VERB
cana-777	107	6	on	on	ADP
cana-777	107	7	criteria	criterion	NOUN
cana-777	107	8	such	such	ADJ
cana-777	107	9	as	as	ADP
cana-777	107	10	the	the	DET
cana-777	107	11	transmission	transmission	NOUN
cana-777	107	12	of	of	ADP
cana-777	107	13	a	a	DET
cana-777	107	14	minimal	minimal	ADJ
cana-777	107	15	number	number	NOUN
cana-777	107	16	of	of	ADP
cana-777	107	17	packets	packet	NOUN
cana-777	107	18	and	and	CCONJ
cana-777	107	19	the	the	DET
cana-777	107	20	consumption	consumption	NOUN
cana-777	107	21	of	of	ADP
cana-777	107	22	a	a	DET
cana-777	107	23	maximum	maximum	ADJ
cana-777	107	24	amount	amount	NOUN
cana-777	107	25	of	of	ADP
cana-777	107	26	energy	energy	NOUN
cana-777	107	27	,	,	PUNCT
cana-777	107	28	indicating	indicate	VERB
cana-777	107	29	potential	potential	ADJ
cana-777	107	30	malicious	malicious	ADJ
cana-777	107	31	behavior.[19	behavior.[19	PROPN
cana-777	107	32	]	]	PUNCT
cana-777	107	33	d.	d.	NOUN
cana-777	107	34	isolation	isolation	NOUN
cana-777	107	35	of	of	ADP
cana-777	107	36	malicious	malicious	ADJ
cana-777	107	37	nodes	node	NOUN
cana-777	107	38	:	:	PUNCT
cana-777	107	39	a	a	DET
cana-777	107	40	multipath	multipath	NOUN
cana-777	107	41	routing	routing	NOUN
cana-777	107	42	scheme	scheme	NOUN
cana-777	107	43	is	be	AUX
cana-777	107	44	employed	employ	VERB
cana-777	107	45	to	to	PART
cana-777	107	46	isolate	isolate	VERB
cana-777	107	47	malicious	malicious	ADJ
cana-777	107	48	devices	device	NOUN
cana-777	107	49	from	from	ADP
cana-777	107	50	the	the	DET
cana-777	107	51	network	network	NOUN
cana-777	107	52	.	.	PUNCT
cana-777	108	1	the	the	DET
cana-777	108	2	routing	routing	NOUN
cana-777	108	3	scheme	scheme	NOUN
cana-777	108	4	avoids	avoid	VERB
cana-777	108	5	selecting	select	VERB
cana-777	108	6	paths	path	NOUN
cana-777	108	7	that	that	PRON
cana-777	108	8	include	include	AUX
cana-777	108	9	identified	identify	VERB
cana-777	108	10	malicious	malicious	ADJ
cana-777	108	11	nodes	node	NOUN
cana-777	108	12	,	,	PUNCT
cana-777	108	13	thereby	thereby	ADV
cana-777	108	14	improving	improve	VERB
cana-777	108	15	network	network	NOUN
cana-777	108	16	longevity	longevity	NOUN
cana-777	108	17	and	and	CCONJ
cana-777	108	18	enhancing	enhance	VERB
cana-777	108	19	performance	performance	NOUN
cana-777	108	20	in	in	ADP
cana-777	108	21	terms	term	NOUN
cana-777	108	22	of	of	ADP
cana-777	108	23	throughput	throughput	NOUN
cana-777	108	24	,	,	PUNCT
cana-777	108	25	delay	delay	NOUN
cana-777	108	26	,	,	PUNCT
cana-777	108	27	and	and	CCONJ
cana-777	108	28	packet	packet	NOUN
cana-777	108	29	loss	loss	NOUN
cana-777	108	30	.	.	PUNCT
cana-777	109	1	dsste	dsste	PROPN
cana-777	109	2	algorithm	algorithm	PROPN
cana-777	109	3	for	for	ADP
cana-777	109	4	addressing	address	VERB
cana-777	109	5	imbalance	imbalance	NOUN
cana-777	109	6	:	:	PUNCT
cana-777	109	7	imbalance	imbalance	NOUN
cana-777	109	8	in	in	ADP
cana-777	109	9	network	network	NOUN
cana-777	109	10	traffic	traffic	NOUN
cana-777	109	11	,	,	PUNCT
cana-777	109	12	especially	especially	ADV
cana-777	109	13	in	in	ADP
cana-777	109	14	the	the	DET
cana-777	109	15	case	case	NOUN
cana-777	109	16	of	of	ADP
cana-777	109	17	minority	minority	NOUN
cana-777	109	18	attacks	attack	NOUN
cana-777	109	19	,	,	PUNCT
cana-777	109	20	can	can	AUX
cana-777	109	21	pose	pose	VERB
cana-777	109	22	challenges	challenge	NOUN
cana-777	109	23	for	for	SCONJ
cana-777	109	24	classifiers	classifier	NOUN
cana-777	109	25	to	to	PART
cana-777	109	26	distinguish	distinguish	VERB
cana-777	109	27	from	from	ADP
cana-777	109	28	normal	normal	ADJ
cana-777	109	29	traffic	traffic	NOUN
cana-777	109	30	.	.	PUNCT
cana-777	110	1	the	the	DET
cana-777	110	2	dsste	dsste	PROPN
cana-777	110	3	(	(	PUNCT
cana-777	110	4	difficult	difficult	ADJ
cana-777	110	5	-	-	PUNCT
cana-777	110	6	to	to	ADP
cana-777	110	7	-	-	PUNCT
cana-777	110	8	separate	separate	VERB
cana-777	110	9	sample	sample	NOUN
cana-777	110	10	transformation	transformation	NOUN
cana-777	110	11	and	and	CCONJ
cana-777	110	12	expansion	expansion	NOUN
cana-777	110	13	)	)	PUNCT
cana-777	110	14	algorithm	algorithm	NOUN
cana-777	110	15	is	be	AUX
cana-777	110	16	proposed	propose	VERB
cana-777	110	17	to	to	PART
cana-777	110	18	address	address	VERB
cana-777	110	19	this	this	DET
cana-777	110	20	issue	issue	NOUN
cana-777	110	21	.	.	PUNCT
cana-777	111	1	communications	communication	NOUN
cana-777	111	2	on	on	ADP
cana-777	111	3	applied	apply	VERB
cana-777	111	4	nonlinear	nonlinear	ADJ
cana-777	111	5	analysis	analysis	NOUN
cana-777	111	6	issn	issn	NOUN
cana-777	111	7	:	:	PUNCT
cana-777	111	8	1074	1074	NUM
cana-777	111	9	-	-	PUNCT
cana-777	111	10	133x	133x	NUM
cana-777	111	11	vol	vol	NOUN
cana-777	111	12	31	31	NUM
cana-777	111	13	no	no	NOUN
cana-777	111	14	.	.	PUNCT
cana-777	112	1	3s	3s	NUM
cana-777	112	2	(	(	PUNCT
cana-777	112	3	2024	2024	NUM
cana-777	112	4	)	)	PUNCT
cana-777	112	5	342	342	NUM
cana-777	112	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	113	1	dsste	dsste	NOUN
cana-777	113	2	divides	divide	VERB
cana-777	113	3	the	the	DET
cana-777	113	4	imbalanced	imbalanced	ADJ
cana-777	113	5	training	training	NOUN
cana-777	113	6	set	set	VERB
cana-777	113	7	into	into	ADP
cana-777	113	8	near	near	ADJ
cana-777	113	9	-	-	PUNCT
cana-777	113	10	neighbor	neighbor	NOUN
cana-777	113	11	(	(	PUNCT
cana-777	113	12	enn	enn	PROPN
cana-777	113	13	)	)	PUNCT
cana-777	113	14	and	and	CCONJ
cana-777	113	15	far	far	ADJ
cana-777	113	16	-	-	PUNCT
cana-777	113	17	neighbor	neighbor	NOUN
cana-777	113	18	sets	set	NOUN
cana-777	113	19	.	.	PUNCT
cana-777	114	1	classifiers	classifier	NOUN
cana-777	114	2	often	often	ADV
cana-777	114	3	struggle	struggle	VERB
cana-777	114	4	to	to	PART
cana-777	114	5	differentiate	differentiate	VERB
cana-777	114	6	between	between	ADP
cana-777	114	7	categories	category	NOUN
cana-777	114	8	in	in	ADP
cana-777	114	9	the	the	DET
cana-777	114	10	near	near	ADJ
cana-777	114	11	-	-	PUNCT
cana-777	114	12	neighbor	neighbor	NOUN
cana-777	114	13	set	set	NOUN
cana-777	114	14	,	,	PUNCT
cana-777	114	15	consisting	consist	VERB
cana-777	114	16	of	of	ADP
cana-777	114	17	very	very	ADV
cana-777	114	18	similar	similar	ADJ
cana-777	114	19	samples	sample	NOUN
cana-777	114	20	,	,	PUNCT
cana-777	114	21	making	make	VERB
cana-777	114	22	them	they	PRON
cana-777	114	23	"	"	PUNCT
cana-777	114	24	difficult	difficult	ADJ
cana-777	114	25	"	"	PUNCT
cana-777	114	26	samples	sample	NOUN
cana-777	114	27	.	.	PUNCT
cana-777	115	1	dsste	dsste	NOUN
cana-777	115	2	addresses	address	NOUN
cana-777	115	3	this	this	PRON
cana-777	115	4	by	by	ADP
cana-777	115	5	zooming	zoom	VERB
cana-777	115	6	in	in	ADP
cana-777	115	7	on	on	ADP
cana-777	115	8	the	the	DET
cana-777	115	9	challenging	challenging	ADJ
cana-777	115	10	collection	collection	NOUN
cana-777	115	11	of	of	ADP
cana-777	115	12	minority	minority	NOUN
cana-777	115	13	samples	sample	NOUN
cana-777	115	14	and	and	CCONJ
cana-777	115	15	creating	create	VERB
cana-777	115	16	a	a	DET
cana-777	115	17	new	new	ADJ
cana-777	115	18	training	training	NOUN
cana-777	115	19	set	set	VERB
cana-777	115	20	by	by	ADP
cana-777	115	21	combining	combine	VERB
cana-777	115	22	the	the	DET
cana-777	115	23	easy	easy	ADJ
cana-777	115	24	set	set	NOUN
cana-777	115	25	,	,	PUNCT
cana-777	115	26	minority	minority	NOUN
cana-777	115	27	set	set	NOUN
cana-777	115	28	,	,	PUNCT
cana-777	115	29	and	and	CCONJ
cana-777	115	30	their	their	PRON
cana-777	115	31	augmented	augment	VERB
cana-777	115	32	samples	sample	NOUN
cana-777	115	33	.	.	PUNCT
cana-777	116	1	the	the	DET
cana-777	116	2	algorithm	algorithm	NOUN
cana-777	116	3	's	's	PART
cana-777	116	4	parameters	parameter	NOUN
cana-777	116	5	,	,	PUNCT
cana-777	116	6	such	such	ADJ
cana-777	116	7	as	as	ADP
cana-777	116	8	the	the	DET
cana-777	116	9	number	number	NOUN
cana-777	116	10	of	of	ADP
cana-777	116	11	neighbors	neighbor	NOUN
cana-777	116	12	(	(	PUNCT
cana-777	116	13	k	k	NOUN
cana-777	116	14	)	)	PUNCT
cana-777	116	15	,	,	PUNCT
cana-777	116	16	determine	determine	VERB
cana-777	116	17	the	the	DET
cana-777	116	18	compression	compression	NOUN
cana-777	116	19	and	and	CCONJ
cana-777	116	20	synthesis	synthesis	NOUN
cana-777	116	21	rates	rate	NOUN
cana-777	116	22	of	of	ADP
cana-777	116	23	samples	sample	NOUN
cana-777	116	24	.	.	PUNCT
cana-777	117	1	the	the	DET
cana-777	117	2	dsste	dsste	PROPN
cana-777	117	3	algorithm	algorithm	PROPN
cana-777	117	4	is	be	AUX
cana-777	117	5	expressed	express	VERB
cana-777	117	6	using	use	VERB
cana-777	117	7	algorithmic	algorithmic	ADJ
cana-777	117	8	syntax	syntax	NOUN
cana-777	117	9	.	.	PUNCT
cana-777	118	1	this	this	DET
cana-777	118	2	comprehensive	comprehensive	ADJ
cana-777	118	3	methodology	methodology	NOUN
cana-777	118	4	aims	aim	VERB
cana-777	118	5	to	to	PART
cana-777	118	6	enhance	enhance	VERB
cana-777	118	7	the	the	DET
cana-777	118	8	robustness	robustness	NOUN
cana-777	118	9	and	and	CCONJ
cana-777	118	10	effectiveness	effectiveness	NOUN
cana-777	118	11	of	of	ADP
cana-777	118	12	intrusion	intrusion	NOUN
cana-777	118	13	detection	detection	NOUN
cana-777	118	14	while	while	SCONJ
cana-777	118	15	also	also	ADV
cana-777	118	16	addressing	address	VERB
cana-777	118	17	the	the	DET
cana-777	118	18	challenges	challenge	NOUN
cana-777	118	19	posed	pose	VERB
cana-777	118	20	by	by	ADP
cana-777	118	21	imbalanced	imbalanced	ADJ
cana-777	118	22	data	datum	NOUN
cana-777	118	23	in	in	ADP
cana-777	118	24	network	network	NOUN
cana-777	118	25	traffic	traffic	NOUN
cana-777	118	26	classification	classification	NOUN
cana-777	118	27	.	.	PUNCT
cana-777	119	1	fig	fig	NOUN
cana-777	119	2	4	4	NUM
cana-777	119	3	conceptual	conceptual	ADJ
cana-777	119	4	model	model	NOUN
cana-777	119	5	of	of	ADP
cana-777	119	6	ids	id	NOUN
cana-777	119	7	.	.	PUNCT
cana-777	120	1	algorithm	algorithm	PROPN
cana-777	120	2	1	1	NUM
cana-777	120	3	dsste	dsste	PROPN
cana-777	120	4	algorithm	algorithm	NOUN
cana-777	120	5	algorithm	algorithm	PROPN
cana-777	120	6	2	2	NUM
cana-777	120	7	the	the	DET
cana-777	120	8	study	study	NOUN
cana-777	120	9	employs	employ	VERB
cana-777	120	10	a	a	DET
cana-777	120	11	range	range	NOUN
cana-777	120	12	of	of	ADP
cana-777	120	13	machine	machine	NOUN
cana-777	120	14	learning	learning	NOUN
cana-777	120	15	and	and	CCONJ
cana-777	120	16	deep	deep	ADJ
cana-777	120	17	learning	learning	NOUN
cana-777	120	18	algorithms	algorithm	NOUN
cana-777	120	19	,	,	PUNCT
cana-777	120	20	including	include	VERB
cana-777	120	21	random	random	ADJ
cana-777	120	22	forest	forest	NOUN
cana-777	120	23	,	,	PUNCT
cana-777	120	24	svm	svm	PROPN
cana-777	120	25	,	,	PUNCT
cana-777	120	26	xgboost	xgboost	ADV
cana-777	120	27	,	,	PUNCT
cana-777	120	28	lstm	lstm	ADJ
cana-777	120	29	,	,	PUNCT
cana-777	120	30	alexnet	alexnet	ADJ
cana-777	120	31	,	,	PUNCT
cana-777	120	32	and	and	CCONJ
cana-777	120	33	mini	mini	NOUN
cana-777	120	34	-	-	NOUN
cana-777	120	35	vggnet	vggnet	ADJ
cana-777	120	36	,	,	PUNCT
cana-777	120	37	to	to	PART
cana-777	120	38	train	train	VERB
cana-777	120	39	and	and	CCONJ
cana-777	120	40	evaluate	evaluate	VERB
cana-777	120	41	the	the	DET
cana-777	120	42	classifier	classifier	NOUN
cana-777	120	43	discussed	discuss	VERB
cana-777	120	44	in	in	ADP
cana-777	120	45	the	the	DET
cana-777	120	46	subsequent	subsequent	ADJ
cana-777	120	47	section	section	NOUN
cana-777	120	48	.	.	PUNCT
cana-777	121	1	communications	communication	NOUN
cana-777	121	2	on	on	ADP
cana-777	121	3	applied	apply	VERB
cana-777	121	4	nonlinear	nonlinear	ADJ
cana-777	121	5	analysis	analysis	NOUN
cana-777	121	6	issn	issn	NOUN
cana-777	121	7	:	:	PUNCT
cana-777	121	8	1074	1074	NUM
cana-777	121	9	-	-	PUNCT
cana-777	121	10	133x	133x	NUM
cana-777	121	11	vol	vol	NOUN
cana-777	121	12	31	31	NUM
cana-777	121	13	no	no	NOUN
cana-777	121	14	.	.	PUNCT
cana-777	122	1	3s	3s	NUM
cana-777	122	2	(	(	PUNCT
cana-777	122	3	2024	2024	NUM
cana-777	122	4	)	)	PUNCT
cana-777	122	5	343	343	NUM
cana-777	122	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-777	122	7	random	random	ADJ
cana-777	122	8	forest	forest	NOUN
cana-777	122	9	:	:	PUNCT
cana-777	122	10	random	random	ADJ
cana-777	122	11	forest	forest	NOUN
cana-777	122	12	,	,	PUNCT
cana-777	122	13	introduced	introduce	VERB
cana-777	122	14	by	by	ADP
cana-777	122	15	breiman	breiman	NOUN
cana-777	122	16	in	in	ADP
cana-777	122	17	2001	2001	NUM
cana-777	122	18	,	,	PUNCT
cana-777	122	19	is	be	AUX
cana-777	122	20	a	a	DET
cana-777	122	21	powerful	powerful	ADJ
cana-777	122	22	supervised	supervised	ADJ
cana-777	122	23	learning	learning	NOUN
cana-777	122	24	algorithm	algorithm	NOUN
cana-777	122	25	used	use	VERB
cana-777	122	26	for	for	ADP
cana-777	122	27	predicting	predict	VERB
cana-777	122	28	sample	sample	NOUN
cana-777	122	29	types	type	NOUN
cana-777	122	30	based	base	VERB
cana-777	122	31	on	on	ADP
cana-777	122	32	data	datum	NOUN
cana-777	122	33	characteristics	characteristic	NOUN
cana-777	122	34	and	and	CCONJ
cana-777	122	35	classification	classification	NOUN
cana-777	122	36	results	result	NOUN
cana-777	122	37	.	.	PUNCT
cana-777	123	1	it	it	PRON
cana-777	123	2	employs	employ	VERB
cana-777	123	3	the	the	DET
cana-777	123	4	bagging	bagging	NOUN
cana-777	123	5	approach	approach	NOUN
cana-777	123	6	to	to	PART
cana-777	123	7	generate	generate	VERB
cana-777	123	8	diverse	diverse	ADJ
cana-777	123	9	training	training	NOUN
cana-777	123	10	samples	sample	NOUN
cana-777	123	11	using	use	VERB
cana-777	123	12	decision	decision	NOUN
cana-777	123	13	trees	tree	NOUN
cana-777	123	14	and	and	CCONJ
cana-777	123	15	a	a	DET
cana-777	123	16	random	random	ADJ
cana-777	123	17	subspace	subspace	NOUN
cana-777	123	18	division	division	NOUN
cana-777	123	19	to	to	PART
cana-777	123	20	classify	classify	VERB
cana-777	123	21	input	input	NOUN
cana-777	123	22	samples	sample	NOUN
cana-777	123	23	through	through	ADP
cana-777	123	24	a	a	DET
cana-777	123	25	voting	voting	NOUN
cana-777	123	26	mechanism[35	mechanism[35	NOUN
cana-777	123	27	]	]	PUNCT
cana-777	123	28	.	.	PUNCT
cana-777	124	1	svm	svm	PROPN
cana-777	124	2	:	:	PUNCT
cana-777	124	3	the	the	DET
cana-777	124	4	support	support	NOUN
cana-777	124	5	vector	vector	NOUN
cana-777	124	6	machine	machine	NOUN
cana-777	124	7	(	(	PUNCT
cana-777	124	8	svm	svm	PROPN
cana-777	124	9	)	)	PUNCT
cana-777	124	10	,	,	PUNCT
cana-777	124	11	initially	initially	ADV
cana-777	124	12	proposed	propose	VERB
cana-777	124	13	by	by	ADP
cana-777	124	14	coretes	corete	NOUN
cana-777	124	15	and	and	CCONJ
cana-777	124	16	vapnik	vapnik	NOUN
cana-777	124	17	in	in	ADP
cana-777	124	18	1995	1995	NUM
cana-777	124	19	,	,	PUNCT
cana-777	124	20	is	be	AUX
cana-777	124	21	advantageous	advantageous	ADJ
cana-777	124	22	in	in	ADP
cana-777	124	23	limited	limited	ADJ
cana-777	124	24	-	-	PUNCT
cana-777	124	25	sample	sample	NOUN
cana-777	124	26	,	,	PUNCT
cana-777	124	27	nonlinear	nonlinear	ADJ
cana-777	124	28	,	,	PUNCT
cana-777	124	29	and	and	CCONJ
cana-777	124	30	high	high	ADJ
cana-777	124	31	-	-	PUNCT
cana-777	124	32	dimensional	dimensional	ADJ
cana-777	124	33	pattern	pattern	NOUN
cana-777	124	34	recognition	recognition	NOUN
cana-777	124	35	.	.	PUNCT
cana-777	125	1	it	it	PRON
cana-777	125	2	leverages	leverage	VERB
cana-777	125	3	the	the	DET
cana-777	125	4	vapnikchervonenkis	vapnikchervonenkis	NOUN
cana-777	125	5	(	(	PUNCT
cana-777	125	6	vc	vc	NOUN
cana-777	125	7	)	)	PUNCT
cana-777	125	8	dimension	dimension	NOUN
cana-777	125	9	and	and	CCONJ
cana-777	125	10	structural	structural	ADJ
cana-777	125	11	risk	risk	NOUN
cana-777	125	12	reduction	reduction	NOUN
cana-777	125	13	principles	principle	NOUN
cana-777	125	14	to	to	PART
cana-777	125	15	find	find	VERB
cana-777	125	16	a	a	DET
cana-777	125	17	hyperplane	hyperplane	NOUN
cana-777	125	18	of	of	ADP
cana-777	125	19	separation	separation	NOUN
cana-777	125	20	between	between	ADP
cana-777	125	21	different	different	ADJ
cana-777	125	22	groups.[20	groups.[20	NOUN
cana-777	125	23	]	]	PUNCT
cana-777	125	24	xgboost	xgboost	X
cana-777	125	25	:	:	PUNCT
cana-777	126	1	xgboost	xgboost	PROPN
cana-777	126	2	,	,	PUNCT
cana-777	126	3	an	an	DET
cana-777	126	4	extension	extension	NOUN
cana-777	126	5	of	of	ADP
cana-777	126	6	gradient	gradient	ADJ
cana-777	126	7	descent	descent	NOUN
cana-777	126	8	decision	decision	NOUN
cana-777	126	9	trees	tree	NOUN
cana-777	126	10	by	by	ADP
cana-777	126	11	chen	chen	PROPN
cana-777	126	12	and	and	CCONJ
cana-777	126	13	guestrin	guestrin	NOUN
cana-777	126	14	,	,	PUNCT
cana-777	126	15	employs	employ	VERB
cana-777	126	16	parallel	parallel	ADJ
cana-777	126	17	regression	regression	NOUN
cana-777	126	18	trees	tree	NOUN
cana-777	126	19	and	and	CCONJ
cana-777	126	20	regularization	regularization	NOUN
cana-777	126	21	to	to	PART
cana-777	126	22	prevent	prevent	VERB
cana-777	126	23	overfitting	overfitting	NOUN
cana-777	126	24	.	.	PUNCT
cana-777	127	1	it	it	PRON
cana-777	127	2	utilizes	utilize	VERB
cana-777	127	3	a	a	DET
cana-777	127	4	first	first	ADJ
cana-777	127	5	-	-	PUNCT
cana-777	127	6	order	order	NOUN
cana-777	127	7	taylor	taylor	NOUN
cana-777	127	8	expansion	expansion	NOUN
cana-777	127	9	for	for	ADP
cana-777	127	10	residual	residual	ADJ
cana-777	127	11	value	value	NOUN
cana-777	127	12	calculation	calculation	NOUN
cana-777	127	13	and	and	CCONJ
cana-777	127	14	organizes	organize	VERB
cana-777	127	15	parallelized	parallelized	ADJ
cana-777	127	16	searches	search	NOUN
cana-777	127	17	for	for	ADP
cana-777	127	18	optimal	optimal	ADJ
cana-777	127	19	split	split	ADJ
cana-777	127	20	points	point	NOUN
cana-777	127	21	,	,	PUNCT
cana-777	127	22	enhancing	enhance	VERB
cana-777	127	23	computational	computational	ADJ
cana-777	127	24	speed	speed	NOUN
cana-777	127	25	.	.	PUNCT
cana-777	128	1	lstm	lstm	NOUN
cana-777	128	2	:	:	PUNCT
cana-777	128	3	the	the	DET
cana-777	128	4	long	long	ADJ
cana-777	128	5	short	short	ADJ
cana-777	128	6	-	-	PUNCT
cana-777	128	7	term	term	NOUN
cana-777	128	8	memory	memory	NOUN
cana-777	128	9	(	(	PUNCT
cana-777	128	10	lstm	lstm	NOUN
cana-777	128	11	)	)	PUNCT
cana-777	128	12	network	network	NOUN
cana-777	128	13	,	,	PUNCT
cana-777	128	14	introduced	introduce	VERB
cana-777	128	15	by	by	ADP
cana-777	128	16	hochreiter	hochreiter	PROPN
cana-777	128	17	and	and	CCONJ
cana-777	128	18	jurgen	jurgen	PROPN
cana-777	128	19	in	in	ADP
cana-777	128	20	1997	1997	NUM
cana-777	128	21	,	,	PUNCT
cana-777	128	22	is	be	AUX
cana-777	128	23	a	a	DET
cana-777	128	24	type	type	NOUN
cana-777	128	25	of	of	ADP
cana-777	128	26	recurrent	recurrent	ADJ
cana-777	128	27	neural	neural	ADJ
cana-777	128	28	network	network	NOUN
cana-777	128	29	(	(	PUNCT
cana-777	128	30	rnn	rnn	PROPN
cana-777	128	31	)	)	PUNCT
cana-777	128	32	capable	capable	ADJ
cana-777	128	33	of	of	ADP
cana-777	128	34	learning	learn	VERB
cana-777	128	35	from	from	ADP
cana-777	128	36	prior	prior	ADJ
cana-777	128	37	events	event	NOUN
cana-777	128	38	and	and	CCONJ
cana-777	128	39	categorizing	categorize	VERB
cana-777	128	40	time	time	PROPN
cana-777	128	41	series	series	PROPN
cana-777	128	42	data	data	PROPN
cana-777	128	43	.	.	PUNCT
cana-777	129	1	it	it	PRON
cana-777	129	2	mitigates	mitigate	VERB
cana-777	129	3	issues	issue	NOUN
cana-777	129	4	of	of	ADP
cana-777	129	5	short	short	ADJ
cana-777	129	6	-	-	PUNCT
cana-777	129	7	term	term	NOUN
cana-777	129	8	memory	memory	NOUN
cana-777	129	9	encountered	encounter	VERB
cana-777	129	10	by	by	ADP
cana-777	129	11	traditional	traditional	ADJ
cana-777	129	12	rnns	rnn	NOUN
cana-777	129	13	by	by	ADP
cana-777	129	14	introducing	introduce	VERB
cana-777	129	15	gate	gate	NOUN
cana-777	129	16	structures	structure	NOUN
cana-777	129	17	and	and	CCONJ
cana-777	129	18	storage	storage	NOUN
cana-777	129	19	units.[21	units.[21	PROPN
cana-777	129	20	]	]	PUNCT
cana-777	129	21	alexnet	alexnet	NOUN
cana-777	129	22	:	:	PUNCT
cana-777	129	23	alexnet	alexnet	ADJ
cana-777	129	24	,	,	PUNCT
cana-777	129	25	developed	develop	VERB
cana-777	129	26	by	by	ADP
cana-777	129	27	hinton	hinton	PROPN
cana-777	129	28	and	and	CCONJ
cana-777	129	29	alex	alex	PROPN
cana-777	129	30	krizhevsky	krizhevsky	PROPN
cana-777	129	31	in	in	ADP
cana-777	129	32	2012	2012	NUM
cana-777	129	33	,	,	PUNCT
cana-777	129	34	is	be	AUX
cana-777	129	35	a	a	DET
cana-777	129	36	renowned	renowned	ADJ
cana-777	129	37	deep	deep	ADJ
cana-777	129	38	learning	learning	NOUN
cana-777	129	39	network	network	NOUN
cana-777	129	40	.	.	PUNCT
cana-777	130	1	it	it	PRON
cana-777	130	2	features	feature	VERB
cana-777	130	3	5	5	NUM
cana-777	130	4	convolutional	convolutional	ADJ
cana-777	130	5	layers	layer	NOUN
cana-777	130	6	and	and	CCONJ
cana-777	130	7	three	three	NUM
cana-777	130	8	fully	fully	ADV
cana-777	130	9	connected	connected	ADJ
cana-777	130	10	layers	layer	NOUN
cana-777	130	11	,	,	PUNCT
cana-777	130	12	employing	employ	VERB
cana-777	130	13	relu	relu	NOUN
cana-777	130	14	activation	activation	NOUN
cana-777	130	15	functions	function	NOUN
cana-777	130	16	and	and	CCONJ
cana-777	130	17	maxpooling	maxpoole	VERB
cana-777	130	18	for	for	ADP
cana-777	130	19	feature	feature	NOUN
cana-777	130	20	map	map	NOUN
cana-777	130	21	down	down	ADP
cana-777	130	22	-	-	PUNCT
cana-777	130	23	sampling.[22	sampling.[22	NOUN
cana-777	130	24	]	]	PUNCT
cana-777	130	25	mini	mini	NOUN
cana-777	130	26	-	-	NOUN
cana-777	130	27	vggnet	vggnet	NOUN
cana-777	130	28	:	:	PUNCT
cana-777	130	29	mini	mini	NOUN
cana-777	130	30	-	-	NOUN
cana-777	130	31	vggnet	vggnet	ADJ
cana-777	130	32	,	,	PUNCT
cana-777	130	33	a	a	DET
cana-777	130	34	deep	deep	ADJ
cana-777	130	35	cnn	cnn	NOUN
cana-777	130	36	developed	develop	VERB
cana-777	130	37	by	by	ADP
cana-777	130	38	oxford	oxford	PROPN
cana-777	130	39	university	university	PROPN
cana-777	130	40	and	and	CCONJ
cana-777	130	41	google	google	PROPN
cana-777	130	42	deep	deep	ADJ
cana-777	130	43	mind	mind	NOUN
cana-777	130	44	in	in	ADP
cana-777	130	45	2014	2014	NUM
cana-777	130	46	,	,	PUNCT
cana-777	130	47	is	be	AUX
cana-777	130	48	known	know	VERB
cana-777	130	49	for	for	ADP
cana-777	130	50	its	its	PRON
cana-777	130	51	performance	performance	NOUN
cana-777	130	52	in	in	ADP
cana-777	130	53	large	large	ADJ
cana-777	130	54	-	-	PUNCT
cana-777	130	55	scale	scale	NOUN
cana-777	130	56	image	image	NOUN
cana-777	130	57	recognition	recognition	NOUN
cana-777	130	58	.	.	PUNCT
cana-777	131	1	it	it	PRON
cana-777	131	2	focuses	focus	VERB
cana-777	131	3	on	on	ADP
cana-777	131	4	the	the	DET
cana-777	131	5	impact	impact	NOUN
cana-777	131	6	of	of	ADP
cana-777	131	7	network	network	NOUN
cana-777	131	8	depth	depth	NOUN
cana-777	131	9	on	on	ADP
cana-777	131	10	accuracy	accuracy	NOUN
cana-777	131	11	and	and	CCONJ
cana-777	131	12	utilizes	utilize	VERB
cana-777	131	13	multiple	multiple	ADJ
cana-777	131	14	hidden	hide	VERB
cana-777	131	15	layers	layer	NOUN
cana-777	131	16	.	.	PUNCT
cana-777	132	1	the	the	DET
cana-777	132	2	study	study	NOUN
cana-777	132	3	encompasses	encompass	VERB
cana-777	132	4	thorough	thorough	ADJ
cana-777	132	5	data	datum	NOUN
cana-777	132	6	analysis	analysis	NOUN
cana-777	132	7	following	follow	VERB
cana-777	132	8	the	the	DET
cana-777	132	9	data	datum	NOUN
cana-777	132	10	collection	collection	NOUN
cana-777	132	11	process	process	NOUN
cana-777	132	12	.	.	PUNCT
cana-777	133	1	deep	deep	ADJ
cana-777	133	2	learning	learning	NOUN
cana-777	133	3	algorithms	algorithm	NOUN
cana-777	133	4	,	,	PUNCT
cana-777	133	5	such	such	ADJ
cana-777	133	6	as	as	ADP
cana-777	133	7	rnn	rnn	NOUN
cana-777	133	8	and	and	CCONJ
cana-777	133	9	deep	deep	ADJ
cana-777	133	10	-	-	PUNCT
cana-777	133	11	nn	nn	NOUN
cana-777	133	12	,	,	PUNCT
cana-777	133	13	along	along	ADP
cana-777	133	14	with	with	ADP
cana-777	133	15	algorithm	algorithm	NOUN
cana-777	133	16	design	design	NOUN
cana-777	133	17	,	,	PUNCT
cana-777	133	18	are	be	AUX
cana-777	133	19	applied	apply	VERB
cana-777	133	20	to	to	PART
cana-777	133	21	assist	assist	VERB
cana-777	133	22	network	network	NOUN
cana-777	133	23	ids	id	NOUN
cana-777	133	24	designers	designer	NOUN
cana-777	133	25	.	.	PUNCT
cana-777	134	1	recurrent	recurrent	ADJ
cana-777	134	2	neural	neural	ADJ
cana-777	134	3	networks	network	NOUN
cana-777	134	4	(	(	PUNCT
cana-777	134	5	rnns	rnns	PROPN
cana-777	134	6	)	)	PUNCT
cana-777	134	7	are	be	AUX
cana-777	134	8	utilized	utilize	VERB
cana-777	134	9	for	for	ADP
cana-777	134	10	sequence	sequence	NOUN
cana-777	134	11	data	datum	NOUN
cana-777	134	12	modeling	modeling	NOUN
cana-777	134	13	,	,	PUNCT
cana-777	134	14	overcoming	overcome	VERB
cana-777	134	15	short	short	ADJ
cana-777	134	16	-	-	PUNCT
cana-777	134	17	term	term	NOUN
cana-777	134	18	memory	memory	NOUN
cana-777	134	19	limitations	limitation	NOUN
cana-777	134	20	with	with	ADP
cana-777	134	21	variations	variation	NOUN
cana-777	134	22	like	like	ADP
cana-777	134	23	long	long	ADJ
cana-777	134	24	short	short	ADJ
cana-777	134	25	-	-	PUNCT
cana-777	134	26	term	term	NOUN
cana-777	134	27	memory	memory	NOUN
cana-777	134	28	(	(	PUNCT
cana-777	134	29	lstm	lstm	NOUN
cana-777	134	30	)	)	PUNCT
cana-777	134	31	and	and	CCONJ
cana-777	134	32	gated	gate	VERB
cana-777	134	33	recurrent	recurrent	ADJ
cana-777	134	34	unit	unit	NOUN
cana-777	134	35	(	(	PUNCT
cana-777	134	36	gru	gru	PROPN
cana-777	134	37	)	)	PUNCT
cana-777	134	38	.	.	PUNCT
cana-777	135	1	autoencoders	autoencoder	NOUN
cana-777	135	2	(	(	PUNCT
cana-777	135	3	ae	ae	PROPN
cana-777	135	4	)	)	PUNCT
cana-777	135	5	are	be	AUX
cana-777	135	6	used	use	VERB
cana-777	135	7	for	for	ADP
cana-777	135	8	unsupervised	unsupervised	ADJ
cana-777	135	9	feature	feature	NOUN
cana-777	135	10	learning	learning	NOUN
cana-777	135	11	,	,	PUNCT
cana-777	135	12	demonstrating	demonstrate	VERB
cana-777	135	13	effectiveness	effectiveness	NOUN
cana-777	135	14	in	in	ADP
cana-777	135	15	intrusion	intrusion	NOUN
cana-777	135	16	detection	detection	NOUN
cana-777	135	17	,	,	PUNCT
cana-777	135	18	particularly	particularly	ADV
cana-777	135	19	when	when	SCONJ
cana-777	135	20	combined	combine	VERB
cana-777	135	21	with	with	ADP
cana-777	135	22	svm	svm	PROPN
cana-777	135	23	.	.	PROPN
cana-777	136	1	deep	deep	ADJ
cana-777	136	2	neural	neural	ADJ
cana-777	136	3	networks	network	NOUN
cana-777	136	4	(	(	PUNCT
cana-777	136	5	dnns	dnn	NOUN
cana-777	136	6	)	)	PUNCT
cana-777	136	7	incorporate	incorporate	VERB
cana-777	136	8	multiple	multiple	ADJ
cana-777	136	9	layers	layer	NOUN
cana-777	136	10	for	for	ADP
cana-777	136	11	modeling	model	VERB
cana-777	136	12	complex	complex	ADJ
cana-777	136	13	,	,	PUNCT
cana-777	136	14	nonlinear	nonlinear	ADJ
cana-777	136	15	functions	function	NOUN
cana-777	136	16	.	.	PUNCT
cana-777	137	1	convolutional	convolutional	ADJ
cana-777	137	2	neural	neural	ADJ
cana-777	137	3	networks	network	NOUN
cana-777	137	4	(	(	PUNCT
cana-777	137	5	cnns	cnns	PROPN
cana-777	137	6	)	)	PUNCT
cana-777	137	7	are	be	AUX
cana-777	137	8	effective	effective	ADJ
cana-777	137	9	for	for	ADP
cana-777	137	10	array	array	NOUN
cana-777	137	11	-	-	PUNCT
cana-777	137	12	based	base	VERB
cana-777	137	13	data	datum	NOUN
cana-777	137	14	,	,	PUNCT
cana-777	137	15	such	such	ADJ
cana-777	137	16	as	as	ADP
cana-777	137	17	images	image	NOUN
cana-777	137	18	,	,	PUNCT
cana-777	137	19	and	and	CCONJ
cana-777	137	20	are	be	AUX
cana-777	137	21	used	use	VERB
cana-777	137	22	for	for	ADP
cana-777	137	23	feature	feature	NOUN
cana-777	137	24	extraction	extraction	NOUN
cana-777	137	25	and	and	CCONJ
cana-777	137	26	categorization	categorization	NOUN
cana-777	137	27	in	in	ADP
cana-777	137	28	ids	id	NOUN
cana-777	137	29	systems	system	NOUN
cana-777	137	30	.	.	PUNCT
cana-777	138	1	communications	communication	NOUN
cana-777	138	2	on	on	ADP
cana-777	138	3	applied	apply	VERB
cana-777	138	4	nonlinear	nonlinear	ADJ
cana-777	138	5	analysis	analysis	NOUN
cana-777	138	6	issn	issn	NOUN
cana-777	138	7	:	:	PUNCT
cana-777	138	8	1074	1074	NUM
cana-777	138	9	-	-	PUNCT
cana-777	138	10	133x	133x	NUM
cana-777	138	11	vol	vol	NOUN
cana-777	138	12	31	31	NUM
cana-777	138	13	no	no	NOUN
cana-777	138	14	.	.	PUNCT
cana-777	139	1	3s	3s	NUM
cana-777	139	2	(	(	PUNCT
cana-777	139	3	2024	2024	NUM
cana-777	139	4	)	)	PUNCT
cana-777	139	5	344	344	NUM
cana-777	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	139	7	these	these	DET
cana-777	139	8	advanced	advanced	ADJ
cana-777	139	9	techniques	technique	NOUN
cana-777	139	10	enhance	enhance	VERB
cana-777	139	11	the	the	DET
cana-777	139	12	accuracy	accuracy	NOUN
cana-777	139	13	and	and	CCONJ
cana-777	139	14	efficiency	efficiency	NOUN
cana-777	139	15	of	of	ADP
cana-777	139	16	intrusion	intrusion	NOUN
cana-777	139	17	detection	detection	NOUN
cana-777	139	18	systems	system	NOUN
cana-777	139	19	while	while	SCONJ
cana-777	139	20	addressing	address	VERB
cana-777	139	21	the	the	DET
cana-777	139	22	challenges	challenge	NOUN
cana-777	139	23	posed	pose	VERB
cana-777	139	24	by	by	ADP
cana-777	139	25	imbalanced	imbalanced	ADJ
cana-777	139	26	data	datum	NOUN
cana-777	139	27	.	.	PUNCT
cana-777	140	1	[	[	X
cana-777	140	2	23]the	23]the	DET
cana-777	140	3	research	research	NOUN
cana-777	140	4	follows	follow	VERB
cana-777	140	5	a	a	DET
cana-777	140	6	methodical	methodical	ADJ
cana-777	140	7	process	process	NOUN
cana-777	140	8	of	of	ADP
cana-777	140	9	data	datum	NOUN
cana-777	140	10	collection	collection	NOUN
cana-777	140	11	and	and	CCONJ
cana-777	140	12	analysis	analysis	NOUN
cana-777	140	13	to	to	PART
cana-777	140	14	yield	yield	VERB
cana-777	140	15	scientifically	scientifically	ADV
cana-777	140	16	interpretable	interpretable	ADJ
cana-777	140	17	results	result	NOUN
cana-777	140	18	,	,	PUNCT
cana-777	140	19	contributing	contribute	VERB
cana-777	140	20	to	to	ADP
cana-777	140	21	an	an	DET
cana-777	140	22	expanded	expand	VERB
cana-777	140	23	understanding	understanding	NOUN
cana-777	140	24	of	of	ADP
cana-777	140	25	the	the	DET
cana-777	140	26	topic	topic	NOUN
cana-777	140	27	under	under	ADP
cana-777	140	28	investigation.[24	investigation.[24	NOUN
cana-777	140	29	]	]	PUNCT
cana-777	140	30	6	6	NUM
cana-777	140	31	results	result	NOUN
cana-777	140	32	and	and	CCONJ
cana-777	140	33	analysis	analysis	NOUN
cana-777	140	34	in	in	ADP
cana-777	140	35	this	this	DET
cana-777	140	36	experimental	experimental	ADJ
cana-777	140	37	study	study	NOUN
cana-777	140	38	,	,	PUNCT
cana-777	140	39	we	we	PRON
cana-777	140	40	employed	employ	VERB
cana-777	140	41	a	a	DET
cana-777	140	42	diverse	diverse	ADJ
cana-777	140	43	set	set	NOUN
cana-777	140	44	of	of	ADP
cana-777	140	45	both	both	DET
cana-777	140	46	traditional	traditional	ADJ
cana-777	140	47	machine	machine	NOUN
cana-777	140	48	learning	learning	NOUN
cana-777	140	49	(	(	PUNCT
cana-777	140	50	ml	ml	NOUN
cana-777	140	51	)	)	PUNCT
cana-777	140	52	and	and	CCONJ
cana-777	140	53	deep	deep	ADJ
cana-777	140	54	learning	learning	NOUN
cana-777	140	55	(	(	PUNCT
cana-777	140	56	dl	dl	NOUN
cana-777	140	57	)	)	PUNCT
cana-777	140	58	algorithms	algorithm	NOUN
cana-777	140	59	,	,	PUNCT
cana-777	140	60	including	include	VERB
cana-777	140	61	random	random	ADJ
cana-777	140	62	forest	forest	NOUN
cana-777	140	63	(	(	PUNCT
cana-777	140	64	rf	rf	NOUN
cana-777	140	65	)	)	PUNCT
cana-777	140	66	,	,	PUNCT
cana-777	140	67	support	support	NOUN
cana-777	140	68	vector	vector	NOUN
cana-777	140	69	machine	machine	NOUN
cana-777	140	70	(	(	PUNCT
cana-777	140	71	svm	svm	PROPN
cana-777	140	72	)	)	PUNCT
cana-777	140	73	,	,	PUNCT
cana-777	140	74	xgboost	xgboost	ADV
cana-777	140	75	,	,	PUNCT
cana-777	140	76	long	long	ADJ
cana-777	140	77	short	short	ADJ
cana-777	140	78	-	-	PUNCT
cana-777	140	79	term	term	NOUN
cana-777	140	80	memory	memory	NOUN
cana-777	140	81	(	(	PUNCT
cana-777	140	82	lstm	lstm	NOUN
cana-777	140	83	)	)	PUNCT
cana-777	140	84	,	,	PUNCT
cana-777	140	85	alexnet	alexnet	NOUN
cana-777	140	86	,	,	PUNCT
cana-777	140	87	mini	mini	NOUN
cana-777	140	88	-	-	NOUN
cana-777	140	89	vggnet	vggnet	ADJ
cana-777	140	90	,	,	PUNCT
cana-777	140	91	among	among	ADP
cana-777	140	92	others	other	NOUN
cana-777	140	93	.	.	PUNCT
cana-777	141	1	our	our	PRON
cana-777	141	2	objective	objective	NOUN
cana-777	141	3	was	be	AUX
cana-777	141	4	to	to	PART
cana-777	141	5	explore	explore	VERB
cana-777	141	6	various	various	ADJ
cana-777	141	7	classification	classification	NOUN
cana-777	141	8	approaches	approach	NOUN
cana-777	141	9	,	,	PUNCT
cana-777	141	10	encompassing	encompass	VERB
cana-777	141	11	30	30	NUM
cana-777	141	12	different	different	ADJ
cana-777	141	13	combinations	combination	NOUN
cana-777	141	14	with	with	ADP
cana-777	141	15	oversampling	oversample	VERB
cana-777	141	16	methods	method	NOUN
cana-777	141	17	like	like	ADP
cana-777	141	18	random	random	ADJ
cana-777	141	19	under	under	NOUN
cana-777	141	20	-	-	PUNCT
cana-777	141	21	sampling	sample	VERB
cana-777	141	22	(	(	PUNCT
cana-777	141	23	rus	rus	NOUN
cana-777	141	24	)	)	PUNCT
cana-777	141	25	,	,	PUNCT
cana-777	141	26	random	random	ADJ
cana-777	141	27	sampling	sampling	NOUN
cana-777	141	28	(	(	PUNCT
cana-777	141	29	ros	ros	PROPN
cana-777	141	30	)	)	PUNCT
cana-777	141	31	,	,	PUNCT
cana-777	141	32	and	and	CCONJ
cana-777	141	33	synthetic	synthetic	ADJ
cana-777	141	34	minority	minority	NOUN
cana-777	141	35	over	over	ADP
cana-777	141	36	-	-	PUNCT
cana-777	141	37	sampling	sample	VERB
cana-777	141	38	technique	technique	NOUN
cana-777	141	39	(	(	PUNCT
cana-777	141	40	smote	smote	NOUN
cana-777	141	41	)	)	PUNCT
cana-777	142	1	[	[	X
cana-777	142	2	28	28	NUM
cana-777	142	3	]	]	PUNCT
cana-777	142	4	.	.	PUNCT
cana-777	143	1	our	our	PRON
cana-777	143	2	methodology	methodology	NOUN
cana-777	143	3	for	for	ADP
cana-777	143	4	intrusion	intrusion	NOUN
cana-777	143	5	detection	detection	NOUN
cana-777	143	6	unfolds	unfold	VERB
cana-777	143	7	as	as	SCONJ
cana-777	143	8	follows	follow	VERB
cana-777	143	9	:	:	PUNCT
cana-777	143	10	step	step	NOUN
cana-777	143	11	1	1	NUM
cana-777	143	12	:	:	PUNCT
cana-777	143	13	dataset	dataset	NOUN
cana-777	143	14	collection	collection	NOUN
cana-777	143	15	we	we	PRON
cana-777	143	16	initiated	initiate	VERB
cana-777	143	17	the	the	DET
cana-777	143	18	study	study	NOUN
cana-777	143	19	by	by	ADP
cana-777	143	20	gathering	gather	VERB
cana-777	143	21	a	a	DET
cana-777	143	22	dataset	dataset	NOUN
cana-777	143	23	containing	contain	VERB
cana-777	143	24	information	information	NOUN
cana-777	143	25	related	relate	VERB
cana-777	143	26	to	to	ADP
cana-777	143	27	intrusion	intrusion	NOUN
cana-777	143	28	events	event	NOUN
cana-777	143	29	on	on	ADP
cana-777	143	30	websites	website	NOUN
cana-777	143	31	.	.	PUNCT
cana-777	144	1	step	step	NOUN
cana-777	144	2	2	2	NUM
cana-777	144	3	:	:	PUNCT
cana-777	144	4	exploratory	exploratory	ADJ
cana-777	144	5	data	datum	NOUN
cana-777	144	6	analysis	analysis	NOUN
cana-777	144	7	(	(	PUNCT
cana-777	144	8	eda	eda	X
cana-777	144	9	)	)	PUNCT
cana-777	144	10	we	we	PRON
cana-777	144	11	conducted	conduct	VERB
cana-777	144	12	eda	eda	PROPN
cana-777	144	13	on	on	ADP
cana-777	144	14	the	the	DET
cana-777	144	15	dataset	dataset	NOUN
cana-777	144	16	,	,	PUNCT
cana-777	144	17	revealing	reveal	VERB
cana-777	144	18	its	its	PRON
cana-777	144	19	suitability	suitability	NOUN
cana-777	144	20	for	for	ADP
cana-777	144	21	both	both	CCONJ
cana-777	144	22	binary	binary	ADJ
cana-777	144	23	and	and	CCONJ
cana-777	144	24	multi	multi	ADJ
cana-777	144	25	-	-	ADJ
cana-777	144	26	class	class	ADJ
cana-777	144	27	classification	classification	NOUN
cana-777	144	28	tasks	task	NOUN
cana-777	144	29	.	.	PUNCT
cana-777	145	1	step	step	NOUN
cana-777	145	2	3	3	NUM
cana-777	145	3	:	:	PUNCT
cana-777	145	4	data	datum	NOUN
cana-777	145	5	preprocessing	preprocessing	NOUN
cana-777	145	6	we	we	PRON
cana-777	145	7	handled	handle	VERB
cana-777	145	8	missing	missing	ADJ
cana-777	145	9	values	value	NOUN
cana-777	145	10	by	by	ADP
cana-777	145	11	removing	remove	VERB
cana-777	145	12	them	they	PRON
cana-777	145	13	.	.	PUNCT
cana-777	146	1	duplicate	duplicate	ADJ
cana-777	146	2	entries	entry	NOUN
cana-777	146	3	were	be	AUX
cana-777	146	4	identified	identify	VERB
cana-777	146	5	and	and	CCONJ
cana-777	146	6	removed	remove	VERB
cana-777	146	7	.	.	PUNCT
cana-777	147	1	data	datum	NOUN
cana-777	147	2	values	value	NOUN
cana-777	147	3	were	be	AUX
cana-777	147	4	converted	convert	VERB
cana-777	147	5	to	to	ADP
cana-777	147	6	scalar	scalar	ADJ
cana-777	147	7	representations	representation	NOUN
cana-777	147	8	.	.	PUNCT
cana-777	148	1	we	we	PRON
cana-777	148	2	performed	perform	VERB
cana-777	148	3	feature	feature	NOUN
cana-777	148	4	extraction	extraction	NOUN
cana-777	148	5	to	to	PART
cana-777	148	6	enhance	enhance	VERB
cana-777	148	7	the	the	DET
cana-777	148	8	dataset	dataset	NOUN
cana-777	148	9	's	's	PART
cana-777	148	10	relevance	relevance	NOUN
cana-777	148	11	.	.	PUNCT
cana-777	149	1	step	step	NOUN
cana-777	149	2	4	4	NUM
cana-777	149	3	:	:	PUNCT
cana-777	149	4	final	final	ADJ
cana-777	149	5	data	datum	NOUN
cana-777	149	6	processing	processing	NOUN
cana-777	149	7	we	we	PRON
cana-777	149	8	conducted	conduct	VERB
cana-777	149	9	further	further	ADJ
cana-777	149	10	data	datum	NOUN
cana-777	149	11	processing	processing	NOUN
cana-777	149	12	,	,	PUNCT
cana-777	149	13	including	include	VERB
cana-777	149	14	visualization	visualization	NOUN
cana-777	149	15	through	through	ADP
cana-777	149	16	graph	graph	NOUN
cana-777	149	17	plotting	plot	VERB
cana-777	149	18	and	and	CCONJ
cana-777	149	19	final	final	ADJ
cana-777	149	20	preparations	preparation	NOUN
cana-777	149	21	for	for	ADP
cana-777	149	22	training	training	NOUN
cana-777	149	23	.	.	PUNCT
cana-777	150	1	step	step	NOUN
cana-777	150	2	5	5	NUM
cana-777	150	3	:	:	PUNCT
cana-777	150	4	deep	deep	ADJ
cana-777	150	5	learning	learning	NOUN
cana-777	150	6	model	model	NOUN
cana-777	150	7	implementation	implementation	NOUN
cana-777	150	8	a	a	DET
cana-777	150	9	deep	deep	ADJ
cana-777	150	10	learning	learning	NOUN
cana-777	150	11	model	model	NOUN
cana-777	150	12	,	,	PUNCT
cana-777	150	13	specifically	specifically	ADV
cana-777	150	14	an	an	DET
cana-777	150	15	autoencoder	autoencoder	NOUN
cana-777	150	16	,	,	PUNCT
cana-777	150	17	was	be	AUX
cana-777	150	18	constructed	construct	VERB
cana-777	150	19	and	and	CCONJ
cana-777	150	20	trained	train	VERB
cana-777	150	21	using	use	VERB
cana-777	150	22	the	the	DET
cana-777	150	23	processed	process	VERB
cana-777	150	24	data	datum	NOUN
cana-777	150	25	.	.	PUNCT
cana-777	151	1	the	the	DET
cana-777	151	2	model	model	NOUN
cana-777	151	3	underwent	underwent	NOUN
cana-777	151	4	training	training	NOUN
cana-777	151	5	to	to	PART
cana-777	151	6	capture	capture	VERB
cana-777	151	7	essential	essential	ADJ
cana-777	151	8	patterns	pattern	NOUN
cana-777	151	9	within	within	ADP
cana-777	151	10	the	the	DET
cana-777	151	11	data	datum	NOUN
cana-777	151	12	.	.	PUNCT
cana-777	152	1	step	step	NOUN
cana-777	152	2	6	6	NUM
cana-777	152	3	:	:	PUNCT
cana-777	152	4	model	model	NOUN
cana-777	152	5	evaluation	evaluation	NOUN
cana-777	152	6	the	the	DET
cana-777	152	7	model	model	NOUN
cana-777	152	8	's	's	PART
cana-777	152	9	performance	performance	NOUN
cana-777	152	10	was	be	AUX
cana-777	152	11	evaluated	evaluate	VERB
cana-777	152	12	by	by	ADP
cana-777	152	13	testing	test	VERB
cana-777	152	14	it	it	PRON
cana-777	152	15	on	on	ADP
cana-777	152	16	a	a	DET
cana-777	152	17	separate	separate	ADJ
cana-777	152	18	test	test	NOUN
cana-777	152	19	dataset	dataset	NOUN
cana-777	152	20	.	.	PUNCT
cana-777	153	1	metrics	metric	NOUN
cana-777	153	2	such	such	ADJ
cana-777	153	3	as	as	ADP
cana-777	153	4	precision	precision	NOUN
cana-777	153	5	,	,	PUNCT
cana-777	153	6	recall	recall	NOUN
cana-777	153	7	,	,	PUNCT
cana-777	153	8	and	and	CCONJ
cana-777	153	9	f1	f1	NOUN
cana-777	153	10	-	-	PUNCT
cana-777	153	11	score	score	NOUN
cana-777	153	12	were	be	AUX
cana-777	153	13	utilized	utilize	VERB
cana-777	153	14	to	to	PART
cana-777	153	15	measure	measure	VERB
cana-777	153	16	its	its	PRON
cana-777	153	17	effectiveness	effectiveness	NOUN
cana-777	153	18	.	.	PUNCT
cana-777	154	1	notably	notably	ADV
cana-777	154	2	,	,	PUNCT
cana-777	154	3	the	the	DET
cana-777	154	4	autoencoderbased	autoencoderbased	ADJ
cana-777	154	5	deep	deep	ADJ
cana-777	154	6	learning	learning	NOUN
cana-777	154	7	model	model	NOUN
cana-777	154	8	demonstrated	demonstrate	VERB
cana-777	154	9	strong	strong	ADJ
cana-777	154	10	performance	performance	NOUN
cana-777	154	11	in	in	ADP
cana-777	154	12	our	our	PRON
cana-777	154	13	evaluation	evaluation	NOUN
cana-777	154	14	[	[	X
cana-777	154	15	27	27	NUM
cana-777	154	16	]	]	PUNCT
cana-777	154	17	.	.	PUNCT
cana-777	155	1	this	this	DET
cana-777	155	2	comprehensive	comprehensive	ADJ
cana-777	155	3	approach	approach	NOUN
cana-777	155	4	allowed	allow	VERB
cana-777	155	5	us	we	PRON
cana-777	155	6	to	to	PART
cana-777	155	7	explore	explore	VERB
cana-777	155	8	a	a	DET
cana-777	155	9	wide	wide	ADJ
cana-777	155	10	array	array	NOUN
cana-777	155	11	of	of	ADP
cana-777	155	12	algorithms	algorithm	NOUN
cana-777	155	13	and	and	CCONJ
cana-777	155	14	techniques	technique	NOUN
cana-777	155	15	for	for	ADP
cana-777	155	16	intrusion	intrusion	NOUN
cana-777	155	17	detection	detection	NOUN
cana-777	155	18	,	,	PUNCT
cana-777	155	19	ensuring	ensure	VERB
cana-777	155	20	robustness	robustness	NOUN
cana-777	155	21	and	and	CCONJ
cana-777	155	22	accuracy	accuracy	NOUN
cana-777	155	23	in	in	ADP
cana-777	155	24	our	our	PRON
cana-777	155	25	results	result	NOUN
cana-777	155	26	.	.	PUNCT
cana-777	156	1	communications	communication	NOUN
cana-777	156	2	on	on	ADP
cana-777	156	3	applied	apply	VERB
cana-777	156	4	nonlinear	nonlinear	ADJ
cana-777	156	5	analysis	analysis	NOUN
cana-777	156	6	issn	issn	NOUN
cana-777	156	7	:	:	PUNCT
cana-777	156	8	1074	1074	NUM
cana-777	156	9	-	-	PUNCT
cana-777	156	10	133x	133x	NUM
cana-777	156	11	vol	vol	NOUN
cana-777	156	12	31	31	NUM
cana-777	156	13	no	no	NOUN
cana-777	156	14	.	.	PUNCT
cana-777	157	1	3s	3s	NUM
cana-777	157	2	(	(	PUNCT
cana-777	157	3	2024	2024	NUM
cana-777	157	4	)	)	PUNCT
cana-777	157	5	345	345	NUM
cana-777	157	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-777	157	7	7	7	NUM
cana-777	157	8	methodology	methodology	NOUN
cana-777	157	9	steps	step	NOUN
cana-777	157	10	used	use	VERB
cana-777	157	11	in	in	ADP
cana-777	157	12	coding	code	VERB
cana-777	157	13	a.	a.	NOUN
cana-777	157	14	pre	pre	ADJ
cana-777	157	15	-	-	ADJ
cana-777	157	16	processing	process	VERB
cana-777	157	17	1	1	NUM
cana-777	157	18	)	)	PUNCT
cana-777	157	19	bar	bar	NOUN
cana-777	157	20	graph	graph	NOUN
cana-777	157	21	protocol	protocol	NOUN
cana-777	157	22	type	type	NOUN
cana-777	157	23	2	2	NUM
cana-777	157	24	)	)	PUNCT
cana-777	157	25	every	every	DET
cana-777	157	26	sevrcie	sevrcie	NOUN
cana-777	157	27	graph	graph	NOUN
cana-777	157	28	3	3	NUM
cana-777	157	29	)	)	PUNCT
cana-777	157	30	protocol	protocol	NOUN
cana-777	157	31	type	type	NOUN
cana-777	157	32	influence	influence	NOUN
cana-777	157	33	on	on	ADP
cana-777	157	34	target	target	NOUN
cana-777	157	35	communications	communication	NOUN
cana-777	157	36	on	on	ADP
cana-777	157	37	applied	apply	VERB
cana-777	157	38	nonlinear	nonlinear	ADJ
cana-777	157	39	analysis	analysis	NOUN
cana-777	157	40	issn	issn	NOUN
cana-777	157	41	:	:	PUNCT
cana-777	157	42	1074	1074	NUM
cana-777	157	43	-	-	PUNCT
cana-777	157	44	133x	133x	NUM
cana-777	157	45	vol	vol	NOUN
cana-777	157	46	31	31	NUM
cana-777	157	47	no	no	NOUN
cana-777	157	48	.	.	PUNCT
cana-777	158	1	3s	3s	NUM
cana-777	158	2	(	(	PUNCT
cana-777	158	3	2024	2024	NUM
cana-777	158	4	)	)	PUNCT
cana-777	158	5	346	346	NUM
cana-777	158	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	158	7	4	4	X
cana-777	158	8	)	)	PUNCT
cana-777	158	9	correlation	correlation	NOUN
cana-777	158	10	between	between	ADP
cana-777	158	11	whole	whole	ADJ
cana-777	158	12	data	datum	NOUN
cana-777	158	13	5	5	NUM
cana-777	158	14	)	)	PUNCT
cana-777	158	15	dst_host_port	dst_host_port	VERB
cana-777	158	16	6	6	NUM
cana-777	158	17	)	)	PUNCT
cana-777	158	18	dst_host_serror_rate	dst_host_serror_rate	NOUN
cana-777	158	19	7	7	NUM
cana-777	158	20	)	)	PUNCT
cana-777	158	21	dst_host_srv_diff_host_rate	dst_host_srv_diff_host_rate	PROPN
cana-777	158	22	8)	8)	NUM
cana-777	158	23	dst_host_same_src_port_rate	dst_host_same_src_port_rate	NOUN
cana-777	158	24	communications	communication	NOUN
cana-777	158	25	on	on	ADP
cana-777	158	26	applied	apply	VERB
cana-777	158	27	nonlinear	nonlinear	ADJ
cana-777	158	28	analysis	analysis	NOUN
cana-777	158	29	issn	issn	NOUN
cana-777	158	30	:	:	PUNCT
cana-777	158	31	1074	1074	NUM
cana-777	158	32	-	-	PUNCT
cana-777	158	33	133x	133x	NUM
cana-777	158	34	vol	vol	NOUN
cana-777	158	35	31	31	NUM
cana-777	158	36	no	no	NOUN
cana-777	158	37	.	.	PUNCT
cana-777	159	1	3s	3s	NUM
cana-777	159	2	(	(	PUNCT
cana-777	159	3	2024	2024	NUM
cana-777	159	4	)	)	PUNCT
cana-777	159	5	347	347	NUM
cana-777	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	159	7	9	9	NUM
cana-777	159	8	)	)	PUNCT
cana-777	159	9	pre	pre	ADJ
cana-777	159	10	-	-	ADJ
cana-777	159	11	processing	process	VERB
cana-777	159	12	a	a	PRON
cana-777	159	13	)	)	PUNCT
cana-777	159	14	dropping	drop	VERB
cana-777	159	15	null	null	ADJ
cana-777	159	16	values	value	NOUN
cana-777	159	17	.	.	PUNCT
cana-777	160	1	b	b	X
cana-777	160	2	)	)	PUNCT
cana-777	160	3	removing	remove	VERB
cana-777	160	4	duplicate	duplicate	ADJ
cana-777	160	5	values	value	NOUN
cana-777	160	6	c	c	NOUN
cana-777	160	7	)	)	PUNCT
cana-777	160	8	changing	change	VERB
cana-777	160	9	to	to	ADP
cana-777	160	10	scalar	scalar	ADJ
cana-777	160	11	values	value	NOUN
cana-777	160	12	d	d	NOUN
cana-777	160	13	)	)	PUNCT
cana-777	160	14	feature	feature	NOUN
cana-777	160	15	extraction	extraction	NOUN
cana-777	160	16	10	10	NUM
cana-777	160	17	)	)	PUNCT
cana-777	160	18	model	model	NOUN
cana-777	160	19	summary	summary	NOUN
cana-777	160	20	optimization	optimization	NOUN
cana-777	160	21	function	function	NOUN
cana-777	160	22	=	=	PUNCT
cana-777	160	23	adam	adam	NOUN
cana-777	160	24	loss	loss	NOUN
cana-777	160	25	function	function	NOUN
cana-777	160	26	=	=	NOUN
cana-777	161	1	mean_squared_error	mean_squared_error	NOUN
cana-777	161	2	encoding	encoding	NOUN
cana-777	161	3	dim	dim	NOUN
cana-777	161	4	=	=	NOUN
cana-777	161	5	50	50	NUM
cana-777	161	6	8	8	NUM
cana-777	161	7	evaluation	evaluation	NOUN
cana-777	161	8	metrics	metric	NOUN
cana-777	161	9	the	the	DET
cana-777	161	10	performance	performance	NOUN
cana-777	161	11	assessment	assessment	NOUN
cana-777	161	12	of	of	ADP
cana-777	161	13	the	the	DET
cana-777	161	14	experimental	experimental	ADJ
cana-777	161	15	model	model	NOUN
cana-777	161	16	incorporates	incorporate	VERB
cana-777	161	17	various	various	ADJ
cana-777	161	18	metrics	metric	NOUN
cana-777	161	19	,	,	PUNCT
cana-777	161	20	including	include	VERB
cana-777	161	21	accuracy	accuracy	NOUN
cana-777	161	22	,	,	PUNCT
cana-777	161	23	precision	precision	NOUN
cana-777	161	24	,	,	PUNCT
cana-777	161	25	recall	recall	NOUN
cana-777	161	26	,	,	PUNCT
cana-777	161	27	and	and	CCONJ
cana-777	161	28	f1	f1	NOUN
cana-777	161	29	-	-	PUNCT
cana-777	161	30	score	score	NOUN
cana-777	161	31	.	.	PUNCT
cana-777	162	1	these	these	DET
cana-777	162	2	metrics	metric	NOUN
cana-777	162	3	are	be	AUX
cana-777	162	4	employed	employ	VERB
cana-777	162	5	to	to	PART
cana-777	162	6	gauge	gauge	VERB
cana-777	162	7	the	the	DET
cana-777	162	8	effectiveness	effectiveness	NOUN
cana-777	162	9	of	of	ADP
cana-777	162	10	the	the	DET
cana-777	162	11	intrusion	intrusion	NOUN
cana-777	162	12	detection	detection	NOUN
cana-777	162	13	system	system	NOUN
cana-777	162	14	,	,	PUNCT
cana-777	162	15	taking	take	VERB
cana-777	162	16	into	into	ADP
cana-777	162	17	consideration	consideration	NOUN
cana-777	162	18	both	both	CCONJ
cana-777	162	19	the	the	DET
cana-777	162	20	accuracy	accuracy	NOUN
cana-777	162	21	of	of	ADP
cana-777	162	22	flow	flow	NOUN
cana-777	162	23	recognition	recognition	NOUN
cana-777	162	24	and	and	CCONJ
cana-777	162	25	the	the	DET
cana-777	162	26	false	false	ADJ
cana-777	162	27	alarm	alarm	NOUN
cana-777	162	28	rate	rate	NOUN
cana-777	162	29	[	[	X
cana-777	162	30	26	26	NUM
cana-777	162	31	]	]	PUNCT
cana-777	162	32	.	.	PUNCT
cana-777	163	1	the	the	DET
cana-777	163	2	evaluation	evaluation	NOUN
cana-777	163	3	criteria	criterion	NOUN
cana-777	163	4	categorize	categorize	VERB
cana-777	163	5	the	the	DET
cana-777	163	6	model	model	NOUN
cana-777	163	7	's	's	PART
cana-777	163	8	predictions	prediction	NOUN
cana-777	163	9	into	into	ADP
cana-777	163	10	four	four	NUM
cana-777	163	11	distinct	distinct	ADJ
cana-777	163	12	outcomes	outcome	NOUN
cana-777	163	13	based	base	VERB
cana-777	163	14	on	on	ADP
cana-777	163	15	their	their	PRON
cana-777	163	16	accuracy	accuracy	NOUN
cana-777	163	17	in	in	ADP
cana-777	163	18	predicting	predict	VERB
cana-777	163	19	the	the	DET
cana-777	163	20	true	true	ADJ
cana-777	163	21	labels	label	NOUN
cana-777	163	22	:	:	PUNCT
cana-777	163	23	true	true	ADJ
cana-777	163	24	negatives	negative	NOUN
cana-777	163	25	(	(	PUNCT
cana-777	163	26	tn	tn	NOUN
cana-777	163	27	):	):	PUNCT
cana-777	163	28	these	these	PRON
cana-777	163	29	are	be	AUX
cana-777	163	30	samples	sample	NOUN
cana-777	163	31	that	that	PRON
cana-777	163	32	are	be	AUX
cana-777	163	33	accurately	accurately	ADV
cana-777	163	34	classified	classify	VERB
cana-777	163	35	as	as	ADP
cana-777	163	36	negative	negative	ADJ
cana-777	163	37	,	,	PUNCT
cana-777	163	38	signifying	signify	VERB
cana-777	163	39	genuine	genuine	ADJ
cana-777	163	40	negatives	negative	NOUN
cana-777	163	41	.	.	PUNCT
cana-777	164	1	model	model	NOUN
cana-777	164	2	accuracy	accuracy	PROPN
cana-777	164	3	precision	precision	PROPN
cana-777	164	4	recall	recall	NOUN
cana-777	164	5	f1score	f1score	PROPN
cana-777	164	6	base	base	PROPN
cana-777	164	7	0.82	0.82	NUM
cana-777	164	8	0.83	0.83	NUM
cana-777	164	9	0.82	0.82	NUM
cana-777	164	10	0.81	0.81	NUM
cana-777	164	11	base	base	NOUN
cana-777	164	12	lstm	lstm	NOUN
cana-777	164	13	0.78	0.78	NUM
cana-777	164	14	0.78	0.78	NUM
cana-777	164	15	0.78	0.78	NUM
cana-777	164	16	0.75	0.75	NUM
cana-777	164	17	base	base	NOUN
cana-777	164	18	xgboost	xgboost	ADV
cana-777	165	1	0.77	0.77	NUM
cana-777	165	2	0.81	0.81	NUM
cana-777	165	3	0.77	0.77	NUM
cana-777	165	4	0.73	0.73	NUM
cana-777	165	5	proposed	propose	VERB
cana-777	165	6	1	1	NUM
cana-777	165	7	0.88	0.88	NUM
cana-777	165	8	0.86	0.86	NUM
cana-777	165	9	0.88	0.88	NUM
cana-777	165	10	0.90	0.90	NUM
cana-777	165	11	proposed	propose	VERB
cana-777	165	12	2	2	NUM
cana-777	165	13	0.96	0.96	NUM
cana-777	165	14	0.96	0.96	NUM
cana-777	165	15	0.98	0.98	NUM
cana-777	165	16	0.97	0.97	NUM
cana-777	165	17	communications	communication	NOUN
cana-777	165	18	on	on	ADP
cana-777	165	19	applied	apply	VERB
cana-777	165	20	nonlinear	nonlinear	ADJ
cana-777	165	21	analysis	analysis	NOUN
cana-777	165	22	issn	issn	NOUN
cana-777	165	23	:	:	PUNCT
cana-777	165	24	1074	1074	NUM
cana-777	165	25	-	-	PUNCT
cana-777	165	26	133x	133x	NUM
cana-777	165	27	vol	vol	NOUN
cana-777	165	28	31	31	NUM
cana-777	165	29	no	no	NOUN
cana-777	165	30	.	.	PUNCT
cana-777	166	1	3s	3s	NUM
cana-777	166	2	(	(	PUNCT
cana-777	166	3	2024	2024	NUM
cana-777	166	4	)	)	PUNCT
cana-777	166	5	348	348	NUM
cana-777	166	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-777	166	7	false	false	ADJ
cana-777	166	8	positives	positive	NOUN
cana-777	166	9	(	(	PUNCT
cana-777	166	10	fp	fp	X
cana-777	166	11	):	):	PUNCT
cana-777	166	12	this	this	DET
cana-777	166	13	category	category	NOUN
cana-777	166	14	comprises	comprise	VERB
cana-777	166	15	samples	sample	NOUN
cana-777	166	16	that	that	PRON
cana-777	166	17	are	be	AUX
cana-777	166	18	incorrectly	incorrectly	ADV
cana-777	166	19	predicted	predict	VERB
cana-777	166	20	as	as	ADP
cana-777	166	21	positive	positive	ADJ
cana-777	166	22	when	when	SCONJ
cana-777	166	23	,	,	PUNCT
cana-777	166	24	in	in	ADP
cana-777	166	25	reality	reality	NOUN
cana-777	166	26	,	,	PUNCT
cana-777	166	27	they	they	PRON
cana-777	166	28	are	be	AUX
cana-777	166	29	negative	negative	ADJ
cana-777	166	30	.	.	PUNCT
cana-777	167	1	true	true	ADJ
cana-777	167	2	positives	positive	NOUN
cana-777	167	3	(	(	PUNCT
cana-777	167	4	tp	tp	NOUN
cana-777	167	5	):	):	PUNCT
cana-777	167	6	these	these	DET
cana-777	167	7	samples	sample	NOUN
cana-777	167	8	are	be	AUX
cana-777	167	9	correctly	correctly	ADV
cana-777	167	10	identified	identify	VERB
cana-777	167	11	as	as	ADP
cana-777	167	12	positive	positive	ADJ
cana-777	167	13	,	,	PUNCT
cana-777	167	14	representing	represent	VERB
cana-777	167	15	genuine	genuine	ADJ
cana-777	167	16	positives	positive	NOUN
cana-777	167	17	.	.	PUNCT
cana-777	168	1	false	false	ADJ
cana-777	168	2	negatives	negative	NOUN
cana-777	168	3	(	(	PUNCT
cana-777	168	4	fn	fn	X
cana-777	168	5	):	):	PUNCT
cana-777	168	6	fn	fn	NOUN
cana-777	168	7	consists	consist	NOUN
cana-777	168	8	of	of	ADP
cana-777	168	9	positive	positive	ADJ
cana-777	168	10	samples	sample	NOUN
cana-777	168	11	that	that	PRON
cana-777	168	12	are	be	AUX
cana-777	168	13	erroneously	erroneously	ADV
cana-777	168	14	classified	classify	VERB
cana-777	168	15	as	as	ADP
cana-777	168	16	negative	negative	ADJ
cana-777	168	17	.	.	PUNCT
cana-777	169	1	to	to	PART
cana-777	169	2	calculate	calculate	VERB
cana-777	169	3	these	these	DET
cana-777	169	4	metrics	metric	NOUN
cana-777	169	5	,	,	PUNCT
cana-777	169	6	mathematical	mathematical	ADJ
cana-777	169	7	equations	equation	NOUN
cana-777	169	8	are	be	AUX
cana-777	169	9	employed	employ	VERB
cana-777	169	10	,	,	PUNCT
cana-777	169	11	allowing	allow	VERB
cana-777	169	12	for	for	ADP
cana-777	169	13	a	a	DET
cana-777	169	14	quantitative	quantitative	ADJ
cana-777	169	15	assessment	assessment	NOUN
cana-777	169	16	of	of	ADP
cana-777	169	17	the	the	DET
cana-777	169	18	model	model	NOUN
cana-777	169	19	's	's	PART
cana-777	169	20	performance	performance	NOUN
cana-777	169	21	[	[	X
cana-777	169	22	25	25	NUM
cana-777	169	23	]	]	PUNCT
cana-777	169	24	.	.	PUNCT
cana-777	170	1	(	(	PUNCT
cana-777	170	2	1	1	X
cana-777	170	3	)	)	PUNCT
cana-777	170	4	(	(	PUNCT
cana-777	170	5	2	2	NUM
cana-777	170	6	)	)	PUNCT
cana-777	170	7	(	(	PUNCT
cana-777	170	8	3	3	X
cana-777	170	9	)	)	PUNCT
cana-777	170	10	(	(	PUNCT
cana-777	170	11	4	4	X
cana-777	170	12	)	)	PUNCT
cana-777	170	13	table1	table1	NOUN
cana-777	170	14	:	:	PUNCT
cana-777	170	15	evaluation	evaluation	NOUN
cana-777	170	16	metrics	metric	NOUN
cana-777	170	17	a.	a.	NOUN
cana-777	170	18	accuracy	accuracy	NOUN
cana-777	170	19	,	,	PUNCT
cana-777	170	20	loss	loss	NOUN
cana-777	170	21	&	&	CCONJ
cana-777	170	22	result	result	PROPN
cana-777	170	23	graph	graph	NOUN
cana-777	170	24	communications	communication	NOUN
cana-777	170	25	on	on	ADP
cana-777	170	26	applied	apply	VERB
cana-777	170	27	nonlinear	nonlinear	ADJ
cana-777	170	28	analysis	analysis	NOUN
cana-777	170	29	issn	issn	NOUN
cana-777	170	30	:	:	PUNCT
cana-777	170	31	1074	1074	NUM
cana-777	170	32	-	-	PUNCT
cana-777	170	33	133x	133x	NUM
cana-777	170	34	vol	vol	NOUN
cana-777	170	35	31	31	NUM
cana-777	170	36	no	no	NOUN
cana-777	170	37	.	.	PUNCT
cana-777	171	1	3s	3s	NUM
cana-777	171	2	(	(	PUNCT
cana-777	171	3	2024	2024	NUM
cana-777	171	4	)	)	PUNCT
cana-777	171	5	349	349	NUM
cana-777	171	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	171	7	b.	b.	PROPN
cana-777	171	8	roc	roc	PROPN
cana-777	171	9	curve	curve	PROPN
cana-777	171	10	:	:	PUNCT
cana-777	171	11	c.	c.	NOUN
cana-777	171	12	confusion	confusion	NOUN
cana-777	171	13	matrix	matrix	NOUN
cana-777	171	14	communications	communication	NOUN
cana-777	171	15	on	on	ADP
cana-777	171	16	applied	apply	VERB
cana-777	171	17	nonlinear	nonlinear	ADJ
cana-777	171	18	analysis	analysis	NOUN
cana-777	171	19	issn	issn	NOUN
cana-777	171	20	:	:	PUNCT
cana-777	171	21	1074	1074	NUM
cana-777	171	22	-	-	PUNCT
cana-777	171	23	133x	133x	NUM
cana-777	171	24	vol	vol	NOUN
cana-777	171	25	31	31	NUM
cana-777	171	26	no	no	NOUN
cana-777	171	27	.	.	PUNCT
cana-777	172	1	3s	3s	NUM
cana-777	172	2	(	(	PUNCT
cana-777	172	3	2024	2024	NUM
cana-777	172	4	)	)	PUNCT
cana-777	172	5	350	350	NUM
cana-777	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	172	7	9	9	NUM
cana-777	172	8	flow	flow	NOUN
cana-777	172	9	chart	chart	NOUN
cana-777	172	10	10	10	NUM
cana-777	172	11	observations	observation	NOUN
cana-777	172	12	&	&	CCONJ
cana-777	172	13	analysis	analysis	NOUN
cana-777	172	14	:	:	PUNCT
cana-777	172	15	observations	observation	NOUN
cana-777	172	16	•	•	VERB
cana-777	172	17	the	the	DET
cana-777	172	18	analysis	analysis	NOUN
cana-777	172	19	of	of	ADP
cana-777	172	20	these	these	DET
cana-777	172	21	results	result	NOUN
cana-777	172	22	demonstrates	demonstrate	VERB
cana-777	172	23	the	the	DET
cana-777	172	24	effectiveness	effectiveness	NOUN
cana-777	172	25	and	and	CCONJ
cana-777	172	26	potential	potential	NOUN
cana-777	172	27	of	of	ADP
cana-777	172	28	employing	employ	VERB
cana-777	172	29	autoencoder	autoencoder	NOUN
cana-777	172	30	neural	neural	ADJ
cana-777	172	31	networks	network	NOUN
cana-777	172	32	(	(	PUNCT
cana-777	172	33	anns	anns	PROPN
cana-777	172	34	)	)	PUNCT
cana-777	172	35	for	for	ADP
cana-777	172	36	enhancing	enhance	VERB
cana-777	172	37	the	the	DET
cana-777	172	38	security	security	NOUN
cana-777	172	39	of	of	ADP
cana-777	172	40	network	network	NOUN
cana-777	172	41	environments	environment	NOUN
cana-777	172	42	.	.	PUNCT
cana-777	173	1	here	here	ADV
cana-777	173	2	,	,	PUNCT
cana-777	173	3	we	we	PRON
cana-777	173	4	provide	provide	VERB
cana-777	173	5	a	a	DET
cana-777	173	6	comprehensive	comprehensive	ADJ
cana-777	173	7	,	,	PUNCT
cana-777	173	8	plagiarism	plagiarism	NOUN
cana-777	173	9	-	-	PUNCT
cana-777	173	10	free	free	ADJ
cana-777	173	11	analysis	analysis	NOUN
cana-777	173	12	of	of	ADP
cana-777	173	13	the	the	DET
cana-777	173	14	obtained	obtain	VERB
cana-777	173	15	results	result	NOUN
cana-777	173	16	:	:	PUNCT
cana-777	173	17	1	1	X
cana-777	173	18	.	.	X
cana-777	173	19	anomaly	anomaly	NOUN
cana-777	173	20	detection	detection	NOUN
cana-777	173	21	performance	performance	NOUN
cana-777	173	22	:	:	PUNCT
cana-777	173	23	our	our	PRON
cana-777	173	24	experimental	experimental	ADJ
cana-777	173	25	findings	finding	NOUN
cana-777	173	26	reveal	reveal	VERB
cana-777	173	27	that	that	SCONJ
cana-777	173	28	anns	anns	NOUN
cana-777	173	29	exhibit	exhibit	VERB
cana-777	173	30	exceptional	exceptional	ADJ
cana-777	173	31	capabilities	capability	NOUN
cana-777	173	32	in	in	ADP
cana-777	173	33	anomaly	anomaly	NOUN
cana-777	173	34	detection	detection	NOUN
cana-777	173	35	within	within	ADP
cana-777	173	36	network	network	NOUN
cana-777	173	37	traffic	traffic	NOUN
cana-777	173	38	data	datum	NOUN
cana-777	173	39	.	.	PUNCT
cana-777	174	1	anns	anns	PROPN
cana-777	174	2	have	have	AUX
cana-777	174	3	consistently	consistently	ADV
cana-777	174	4	demonstrated	demonstrate	VERB
cana-777	174	5	high	high	ADJ
cana-777	174	6	accuracy	accuracy	NOUN
cana-777	174	7	in	in	ADP
cana-777	174	8	identifying	identify	VERB
cana-777	174	9	deviations	deviation	NOUN
cana-777	174	10	from	from	ADP
cana-777	174	11	normal	normal	ADJ
cana-777	174	12	network	network	NOUN
cana-777	174	13	behavior	behavior	NOUN
cana-777	174	14	,	,	PUNCT
cana-777	174	15	which	which	PRON
cana-777	174	16	are	be	AUX
cana-777	174	17	indicative	indicative	ADJ
cana-777	174	18	of	of	ADP
cana-777	174	19	potential	potential	ADJ
cana-777	174	20	intrusion	intrusion	NOUN
cana-777	174	21	attempts	attempt	NOUN
cana-777	174	22	or	or	CCONJ
cana-777	174	23	malicious	malicious	ADJ
cana-777	174	24	activities	activity	NOUN
cana-777	174	25	.	.	PUNCT
cana-777	175	1	2	2	X
cana-777	175	2	.	.	NUM
cana-777	175	3	reduced	reduce	VERB
cana-777	175	4	false	false	ADJ
cana-777	175	5	positives	positive	NOUN
cana-777	175	6	:	:	PUNCT
cana-777	175	7	one	one	NUM
cana-777	175	8	of	of	ADP
cana-777	175	9	the	the	DET
cana-777	175	10	significant	significant	ADJ
cana-777	175	11	achievements	achievement	NOUN
cana-777	175	12	of	of	ADP
cana-777	175	13	this	this	DET
cana-777	175	14	study	study	NOUN
cana-777	175	15	is	be	AUX
cana-777	175	16	the	the	DET
cana-777	175	17	substantial	substantial	ADJ
cana-777	175	18	reduction	reduction	NOUN
cana-777	175	19	in	in	ADP
cana-777	175	20	false	false	ADJ
cana-777	175	21	positives	positive	NOUN
cana-777	175	22	.	.	PUNCT
cana-777	176	1	anns	ann	NOUN
cana-777	176	2	have	have	AUX
cana-777	176	3	proven	prove	VERB
cana-777	176	4	adept	adept	ADJ
cana-777	176	5	at	at	ADP
cana-777	176	6	distinguishing	distinguish	VERB
cana-777	176	7	genuine	genuine	ADJ
cana-777	176	8	network	network	NOUN
cana-777	176	9	anomalies	anomaly	NOUN
cana-777	176	10	from	from	ADP
cana-777	176	11	false	false	ADJ
cana-777	176	12	alarms	alarm	NOUN
cana-777	176	13	,	,	PUNCT
cana-777	176	14	which	which	PRON
cana-777	176	15	is	be	AUX
cana-777	176	16	essential	essential	ADJ
cana-777	176	17	for	for	ADP
cana-777	176	18	minimizing	minimize	VERB
cana-777	176	19	unnecessary	unnecessary	ADJ
cana-777	176	20	alerts	alert	NOUN
cana-777	176	21	and	and	CCONJ
cana-777	176	22	mitigating	mitigate	VERB
cana-777	176	23	the	the	DET
cana-777	176	24	operational	operational	ADJ
cana-777	176	25	burden	burden	NOUN
cana-777	176	26	on	on	ADP
cana-777	176	27	network	network	NOUN
cana-777	176	28	administrators	administrator	NOUN
cana-777	176	29	.	.	PUNCT
cana-777	177	1	3	3	X
cana-777	177	2	.	.	NUM
cana-777	177	3	improved	improve	VERB
cana-777	177	4	data	datum	NOUN
cana-777	177	5	balancing	balancing	NOUN
cana-777	177	6	:	:	PUNCT
cana-777	177	7	we	we	PRON
cana-777	177	8	successfully	successfully	ADV
cana-777	177	9	addressed	address	VERB
cana-777	177	10	the	the	DET
cana-777	177	11	challenge	challenge	NOUN
cana-777	177	12	of	of	ADP
cana-777	177	13	imbalanced	imbalanced	ADJ
cana-777	177	14	data	datum	NOUN
cana-777	177	15	through	through	ADP
cana-777	177	16	the	the	DET
cana-777	177	17	application	application	NOUN
cana-777	177	18	of	of	ADP
cana-777	177	19	the	the	DET
cana-777	177	20	difficultto	difficultto	ADJ
cana-777	177	21	-	-	PUNCT
cana-777	177	22	separate	separate	ADJ
cana-777	177	23	sample	sample	NOUN
cana-777	177	24	transformation	transformation	NOUN
cana-777	177	25	and	and	CCONJ
cana-777	177	26	expansion	expansion	NOUN
cana-777	177	27	(	(	PUNCT
cana-777	177	28	dsste	dsste	NOUN
cana-777	177	29	)	)	PUNCT
cana-777	177	30	algorithm	algorithm	NOUN
cana-777	177	31	.	.	PUNCT
cana-777	178	1	this	this	DET
cana-777	178	2	technique	technique	NOUN
cana-777	178	3	has	have	AUX
cana-777	178	4	contributed	contribute	VERB
cana-777	178	5	to	to	ADP
cana-777	178	6	a	a	DET
cana-777	178	7	more	more	ADV
cana-777	178	8	balanced	balanced	ADJ
cana-777	178	9	and	and	CCONJ
cana-777	178	10	representative	representative	ADJ
cana-777	178	11	training	training	NOUN
cana-777	178	12	dataset	dataset	NOUN
cana-777	178	13	,	,	PUNCT
cana-777	178	14	enhancing	enhance	VERB
cana-777	178	15	the	the	DET
cana-777	178	16	model	model	NOUN
cana-777	178	17	's	's	PART
cana-777	178	18	ability	ability	NOUN
cana-777	178	19	to	to	PART
cana-777	178	20	detect	detect	VERB
cana-777	178	21	anomalies	anomaly	NOUN
cana-777	178	22	effectively	effectively	ADV
cana-777	178	23	.	.	PUNCT
cana-777	179	1	communications	communication	NOUN
cana-777	179	2	on	on	ADP
cana-777	179	3	applied	apply	VERB
cana-777	179	4	nonlinear	nonlinear	ADJ
cana-777	179	5	analysis	analysis	NOUN
cana-777	179	6	issn	issn	NOUN
cana-777	179	7	:	:	PUNCT
cana-777	179	8	1074	1074	NUM
cana-777	179	9	-	-	PUNCT
cana-777	179	10	133x	133x	NUM
cana-777	179	11	vol	vol	NOUN
cana-777	179	12	31	31	NUM
cana-777	179	13	no	no	NOUN
cana-777	179	14	.	.	PUNCT
cana-777	180	1	3s	3s	NUM
cana-777	180	2	(	(	PUNCT
cana-777	180	3	2024	2024	NUM
cana-777	180	4	)	)	PUNCT
cana-777	180	5	351	351	NUM
cana-777	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	180	7	4	4	NUM
cana-777	180	8	.	.	PUNCT
cana-777	180	9	privacy	privacy	NOUN
cana-777	180	10	-	-	PUNCT
cana-777	180	11	preserving	preserve	VERB
cana-777	180	12	features	feature	NOUN
cana-777	180	13	:	:	PUNCT
cana-777	180	14	our	our	PRON
cana-777	180	15	research	research	NOUN
cana-777	180	16	has	have	AUX
cana-777	180	17	explored	explore	VERB
cana-777	180	18	the	the	DET
cana-777	180	19	privacy	privacy	NOUN
cana-777	180	20	-	-	PUNCT
cana-777	180	21	preserving	preserve	VERB
cana-777	180	22	capabilities	capability	NOUN
cana-777	180	23	of	of	ADP
cana-777	180	24	anns	ann	NOUN
cana-777	180	25	,	,	PUNCT
cana-777	180	26	enabling	enable	VERB
cana-777	180	27	the	the	DET
cana-777	180	28	encoding	encoding	NOUN
cana-777	180	29	of	of	ADP
cana-777	180	30	sensitive	sensitive	ADJ
cana-777	180	31	network	network	NOUN
cana-777	180	32	data	datum	NOUN
cana-777	180	33	into	into	ADP
cana-777	180	34	a	a	DET
cana-777	180	35	latent	latent	NOUN
cana-777	180	36	space	space	NOUN
cana-777	180	37	.	.	PUNCT
cana-777	181	1	this	this	DET
cana-777	181	2	approach	approach	NOUN
cana-777	181	3	facilitates	facilitate	VERB
cana-777	181	4	data	datum	NOUN
cana-777	181	5	anonymization	anonymization	NOUN
cana-777	181	6	while	while	SCONJ
cana-777	181	7	still	still	ADV
cana-777	181	8	enabling	enable	VERB
cana-777	181	9	robust	robust	ADJ
cana-777	181	10	intrusion	intrusion	NOUN
cana-777	181	11	detection	detection	NOUN
cana-777	181	12	.	.	PUNCT
cana-777	182	1	5	5	X
cana-777	182	2	.	.	PUNCT
cana-777	182	3	model	model	NOUN
cana-777	182	4	robustness	robustness	NOUN
cana-777	182	5	:	:	PUNCT
cana-777	182	6	the	the	DET
cana-777	182	7	autoencoder	autoencoder	NOUN
cana-777	182	8	-	-	PUNCT
cana-777	182	9	based	base	VERB
cana-777	182	10	model	model	NOUN
cana-777	182	11	exhibits	exhibit	VERB
cana-777	182	12	resilience	resilience	NOUN
cana-777	182	13	to	to	ADP
cana-777	182	14	variations	variation	NOUN
cana-777	182	15	in	in	ADP
cana-777	182	16	network	network	NOUN
cana-777	182	17	data	datum	NOUN
cana-777	182	18	,	,	PUNCT
cana-777	182	19	showcasing	showcase	VERB
cana-777	182	20	its	its	PRON
cana-777	182	21	adaptability	adaptability	NOUN
cana-777	182	22	to	to	ADP
cana-777	182	23	dynamic	dynamic	ADJ
cana-777	182	24	network	network	NOUN
cana-777	182	25	environments	environment	NOUN
cana-777	182	26	and	and	CCONJ
cana-777	182	27	evolving	evolve	VERB
cana-777	182	28	attack	attack	NOUN
cana-777	182	29	strategies	strategy	NOUN
cana-777	182	30	.	.	PUNCT
cana-777	183	1	6	6	NUM
cana-777	183	2	.	.	X
cana-777	183	3	real	real	ADJ
cana-777	183	4	-	-	PUNCT
cana-777	183	5	time	time	NOUN
cana-777	183	6	application	application	NOUN
cana-777	183	7	potential	potential	NOUN
cana-777	183	8	:	:	PUNCT
cana-777	183	9	the	the	DET
cana-777	183	10	efficiency	efficiency	NOUN
cana-777	183	11	and	and	CCONJ
cana-777	183	12	accuracy	accuracy	NOUN
cana-777	183	13	of	of	ADP
cana-777	183	14	the	the	DET
cana-777	183	15	autoencoder	autoencoder	NOUN
cana-777	183	16	-	-	PUNCT
cana-777	183	17	based	base	VERB
cana-777	183	18	model	model	NOUN
cana-777	183	19	make	make	VERB
cana-777	183	20	it	it	PRON
cana-777	183	21	a	a	DET
cana-777	183	22	strong	strong	ADJ
cana-777	183	23	candidate	candidate	NOUN
cana-777	183	24	for	for	ADP
cana-777	183	25	real	real	ADJ
cana-777	183	26	-	-	PUNCT
cana-777	183	27	time	time	NOUN
cana-777	183	28	intrusion	intrusion	NOUN
cana-777	183	29	detection	detection	NOUN
cana-777	183	30	systems	system	NOUN
cana-777	183	31	.	.	PUNCT
cana-777	184	1	its	its	PRON
cana-777	184	2	quick	quick	ADJ
cana-777	184	3	response	response	NOUN
cana-777	184	4	to	to	ADP
cana-777	184	5	anomalies	anomaly	NOUN
cana-777	184	6	is	be	AUX
cana-777	184	7	crucial	crucial	ADJ
cana-777	184	8	in	in	ADP
cana-777	184	9	proactively	proactively	ADV
cana-777	184	10	identifying	identify	VERB
cana-777	184	11	and	and	CCONJ
cana-777	184	12	mitigating	mitigate	VERB
cana-777	184	13	security	security	NOUN
cana-777	184	14	threats	threat	NOUN
cana-777	184	15	.	.	PUNCT
cana-777	185	1	7	7	X
cana-777	185	2	.	.	X
cana-777	185	3	precision	precision	NOUN
cana-777	185	4	,	,	PUNCT
cana-777	185	5	recall	recall	NOUN
cana-777	185	6	,	,	PUNCT
cana-777	185	7	and	and	CCONJ
cana-777	185	8	f1	f1	NOUN
cana-777	185	9	-	-	PUNCT
cana-777	185	10	score	score	NOUN
cana-777	185	11	:	:	PUNCT
cana-777	185	12	the	the	DET
cana-777	185	13	model	model	NOUN
cana-777	185	14	's	's	PART
cana-777	185	15	performance	performance	NOUN
cana-777	185	16	is	be	AUX
cana-777	185	17	comprehensively	comprehensively	ADV
cana-777	185	18	assessed	assess	VERB
cana-777	185	19	using	use	VERB
cana-777	185	20	precision	precision	NOUN
cana-777	185	21	,	,	PUNCT
cana-777	185	22	recall	recall	NOUN
cana-777	185	23	,	,	PUNCT
cana-777	185	24	and	and	CCONJ
cana-777	185	25	f1	f1	ADJ
cana-777	185	26	-	-	PUNCT
cana-777	185	27	score	score	NOUN
cana-777	185	28	metrics	metric	NOUN
cana-777	185	29	.	.	PUNCT
cana-777	186	1	these	these	DET
cana-777	186	2	metrics	metric	NOUN
cana-777	186	3	provide	provide	VERB
cana-777	186	4	a	a	DET
cana-777	186	5	balanced	balanced	ADJ
cana-777	186	6	evaluation	evaluation	NOUN
cana-777	186	7	of	of	ADP
cana-777	186	8	the	the	DET
cana-777	186	9	model	model	NOUN
cana-777	186	10	's	's	PART
cana-777	186	11	ability	ability	NOUN
cana-777	186	12	to	to	PART
cana-777	186	13	correctly	correctly	ADV
cana-777	186	14	classify	classify	VERB
cana-777	186	15	both	both	CCONJ
cana-777	186	16	normal	normal	ADJ
cana-777	186	17	and	and	CCONJ
cana-777	186	18	anomalous	anomalous	ADJ
cana-777	186	19	network	network	NOUN
cana-777	186	20	activities	activity	NOUN
cana-777	186	21	.	.	PUNCT
cana-777	187	1	the	the	DET
cana-777	187	2	results	result	NOUN
cana-777	187	3	of	of	ADP
cana-777	187	4	this	this	DET
cana-777	187	5	study	study	NOUN
cana-777	187	6	underscore	underscore	VERB
cana-777	187	7	the	the	DET
cana-777	187	8	considerable	considerable	ADJ
cana-777	187	9	potential	potential	NOUN
cana-777	187	10	of	of	ADP
cana-777	187	11	autoencoder	autoencoder	NOUN
cana-777	187	12	neural	neural	ADJ
cana-777	187	13	networks	network	NOUN
cana-777	187	14	in	in	ADP
cana-777	187	15	network	network	NOUN
cana-777	187	16	intrusion	intrusion	NOUN
cana-777	187	17	detection	detection	NOUN
cana-777	187	18	.	.	PUNCT
cana-777	188	1	our	our	PRON
cana-777	188	2	findings	finding	NOUN
cana-777	188	3	suggest	suggest	VERB
cana-777	188	4	that	that	SCONJ
cana-777	188	5	anns	anns	NOUN
cana-777	188	6	can	can	AUX
cana-777	188	7	significantly	significantly	ADV
cana-777	188	8	enhance	enhance	VERB
cana-777	188	9	the	the	DET
cana-777	188	10	accuracy	accuracy	NOUN
cana-777	188	11	,	,	PUNCT
cana-777	188	12	efficiency	efficiency	NOUN
cana-777	188	13	,	,	PUNCT
cana-777	188	14	and	and	CCONJ
cana-777	188	15	reliability	reliability	NOUN
cana-777	188	16	of	of	ADP
cana-777	188	17	intrusion	intrusion	NOUN
cana-777	188	18	detection	detection	NOUN
cana-777	188	19	systems	system	NOUN
cana-777	188	20	.	.	PUNCT
cana-777	189	1	this	this	DET
cana-777	189	2	research	research	NOUN
cana-777	189	3	contributes	contribute	VERB
cana-777	189	4	to	to	ADP
cana-777	189	5	the	the	DET
cana-777	189	6	growing	grow	VERB
cana-777	189	7	body	body	NOUN
cana-777	189	8	of	of	ADP
cana-777	189	9	knowledge	knowledge	NOUN
cana-777	189	10	in	in	ADP
cana-777	189	11	the	the	DET
cana-777	189	12	field	field	NOUN
cana-777	189	13	and	and	CCONJ
cana-777	189	14	emphasizes	emphasize	VERB
cana-777	189	15	the	the	DET
cana-777	189	16	importance	importance	NOUN
cana-777	189	17	of	of	ADP
cana-777	189	18	continued	continue	VERB
cana-777	189	19	exploration	exploration	NOUN
cana-777	189	20	and	and	CCONJ
cana-777	189	21	adoption	adoption	NOUN
cana-777	189	22	of	of	ADP
cana-777	189	23	advanced	advanced	ADJ
cana-777	189	24	machine	machine	NOUN
cana-777	189	25	learning	learn	VERB
cana-777	189	26	techniques	technique	NOUN
cana-777	189	27	for	for	ADP
cana-777	189	28	bolstering	bolster	VERB
cana-777	189	29	network	network	NOUN
cana-777	189	30	security	security	NOUN
cana-777	189	31	.	.	PUNCT
cana-777	190	1	11	11	NUM
cana-777	190	2	conclusion	conclusion	NOUN
cana-777	190	3	the	the	DET
cana-777	190	4	application	application	NOUN
cana-777	190	5	of	of	ADP
cana-777	190	6	autoencoder	autoencoder	NOUN
cana-777	190	7	neural	neural	ADJ
cana-777	190	8	networks	network	NOUN
cana-777	190	9	(	(	PUNCT
cana-777	190	10	anns	anns	PROPN
cana-777	190	11	)	)	PUNCT
cana-777	190	12	in	in	ADP
cana-777	190	13	network	network	NOUN
cana-777	190	14	intrusion	intrusion	NOUN
cana-777	190	15	detection	detection	NOUN
cana-777	190	16	represents	represent	VERB
cana-777	190	17	a	a	DET
cana-777	190	18	significant	significant	ADJ
cana-777	190	19	breakthrough	breakthrough	NOUN
cana-777	190	20	in	in	ADP
cana-777	190	21	the	the	DET
cana-777	190	22	realm	realm	NOUN
cana-777	190	23	of	of	ADP
cana-777	190	24	cybersecurity	cybersecurity	NOUN
cana-777	190	25	.	.	PUNCT
cana-777	191	1	throughout	throughout	ADP
cana-777	191	2	this	this	DET
cana-777	191	3	stu0dy	stu0dy	NOUN
cana-777	191	4	,	,	PUNCT
cana-777	191	5	we	we	PRON
cana-777	191	6	have	have	AUX
cana-777	191	7	delved	delve	VERB
cana-777	191	8	into	into	ADP
cana-777	191	9	the	the	DET
cana-777	191	10	capabilities	capability	NOUN
cana-777	191	11	and	and	CCONJ
cana-777	191	12	advantages	advantage	NOUN
cana-777	191	13	of	of	ADP
cana-777	191	14	anns	anns	NOUN
cana-777	191	15	in	in	ADP
cana-777	191	16	detecting	detect	VERB
cana-777	191	17	and	and	CCONJ
cana-777	191	18	mitigating	mitigate	VERB
cana-777	191	19	security	security	NOUN
cana-777	191	20	threats	threat	NOUN
cana-777	191	21	within	within	ADP
cana-777	191	22	network	network	NOUN
cana-777	191	23	environments	environment	NOUN
cana-777	191	24	.	.	PUNCT
cana-777	192	1	the	the	DET
cana-777	192	2	culmination	culmination	NOUN
cana-777	192	3	of	of	ADP
cana-777	192	4	our	our	PRON
cana-777	192	5	research	research	NOUN
cana-777	192	6	reveals	reveal	VERB
cana-777	192	7	several	several	ADJ
cana-777	192	8	noteworthy	noteworthy	ADJ
cana-777	192	9	findings	finding	NOUN
cana-777	192	10	and	and	CCONJ
cana-777	192	11	implications	implication	NOUN
cana-777	192	12	:	:	PUNCT
cana-777	192	13	a.	a.	NOUN
cana-777	192	14	)	)	PUNCT
cana-777	192	15	anomaly	anomaly	NOUN
cana-777	192	16	detection	detection	NOUN
cana-777	192	17	efficacy	efficacy	NOUN
cana-777	192	18	:	:	PUNCT
cana-777	192	19	autoencoders	autoencoder	NOUN
cana-777	192	20	have	have	AUX
cana-777	192	21	showcased	showcase	VERB
cana-777	192	22	remarkable	remarkable	ADJ
cana-777	192	23	effectiveness	effectiveness	NOUN
cana-777	192	24	in	in	ADP
cana-777	192	25	identifying	identify	VERB
cana-777	192	26	anomalous	anomalous	ADJ
cana-777	192	27	patterns	pattern	NOUN
cana-777	192	28	within	within	ADP
cana-777	192	29	network	network	NOUN
cana-777	192	30	traffic	traffic	NOUN
cana-777	192	31	data	datum	NOUN
cana-777	192	32	.	.	PUNCT
cana-777	193	1	by	by	ADP
cana-777	193	2	learning	learn	VERB
cana-777	193	3	the	the	DET
cana-777	193	4	intricate	intricate	ADJ
cana-777	193	5	nuances	nuance	NOUN
cana-777	193	6	of	of	ADP
cana-777	193	7	normal	normal	ADJ
cana-777	193	8	network	network	NOUN
cana-777	193	9	behavior	behavior	NOUN
cana-777	193	10	,	,	PUNCT
cana-777	193	11	autoencoders	autoencoder	NOUN
cana-777	193	12	excel	excel	VERB
cana-777	193	13	at	at	ADP
cana-777	193	14	recognizing	recognize	VERB
cana-777	193	15	deviations	deviation	NOUN
cana-777	193	16	that	that	PRON
cana-777	193	17	may	may	AUX
cana-777	193	18	signify	signify	VERB
cana-777	193	19	intrusion	intrusion	NOUN
cana-777	193	20	attempts	attempt	NOUN
cana-777	193	21	or	or	CCONJ
cana-777	193	22	malicious	malicious	ADJ
cana-777	193	23	activities.[29	activities.[29	NOUN
cana-777	193	24	]	]	PUNCT
cana-777	193	25	b.	b.	PROPN
cana-777	193	26	)	)	PUNCT
cana-777	193	27	unsupervised	unsupervised	ADJ
cana-777	193	28	learning	learning	NOUN
cana-777	193	29	advantage	advantage	NOUN
cana-777	193	30	:	:	PUNCT
cana-777	193	31	autoencoders	autoencoder	NOUN
cana-777	193	32	operate	operate	VERB
cana-777	193	33	in	in	ADP
cana-777	193	34	an	an	DET
cana-777	193	35	unsupervised	unsupervised	ADJ
cana-777	193	36	learning	learning	NOUN
cana-777	193	37	paradigm	paradigm	NOUN
cana-777	193	38	,	,	PUNCT
cana-777	193	39	making	make	VERB
cana-777	193	40	them	they	PRON
cana-777	193	41	well	well	ADV
cana-777	193	42	-	-	PUNCT
cana-777	193	43	suited	suit	VERB
cana-777	193	44	for	for	ADP
cana-777	193	45	scenarios	scenario	NOUN
cana-777	193	46	where	where	SCONJ
cana-777	193	47	labeled	label	VERB
cana-777	193	48	training	training	NOUN
cana-777	193	49	data	datum	NOUN
cana-777	193	50	is	be	AUX
cana-777	193	51	scarce	scarce	ADJ
cana-777	193	52	or	or	CCONJ
cana-777	193	53	impractical	impractical	ADJ
cana-777	193	54	to	to	PART
cana-777	193	55	acquire	acquire	VERB
cana-777	193	56	.	.	PUNCT
cana-777	194	1	this	this	DET
cana-777	194	2	adaptability	adaptability	NOUN
cana-777	194	3	is	be	AUX
cana-777	194	4	pivotal	pivotal	ADJ
cana-777	194	5	in	in	ADP
cana-777	194	6	dynamic	dynamic	ADJ
cana-777	194	7	network	network	NOUN
cana-777	194	8	landscapes.[30	landscapes.[30	PROPN
cana-777	194	9	]	]	PUNCT
cana-777	194	10	communications	communication	NOUN
cana-777	194	11	on	on	ADP
cana-777	194	12	applied	apply	VERB
cana-777	194	13	nonlinear	nonlinear	ADJ
cana-777	194	14	analysis	analysis	NOUN
cana-777	194	15	issn	issn	NOUN
cana-777	194	16	:	:	PUNCT
cana-777	194	17	1074	1074	NUM
cana-777	194	18	-	-	PUNCT
cana-777	194	19	133x	133x	NUM
cana-777	194	20	vol	vol	NOUN
cana-777	194	21	31	31	NUM
cana-777	194	22	no	no	NOUN
cana-777	194	23	.	.	PUNCT
cana-777	195	1	3s	3s	NUM
cana-777	195	2	(	(	PUNCT
cana-777	195	3	2024	2024	NUM
cana-777	195	4	)	)	PUNCT
cana-777	195	5	352	352	NUM
cana-777	195	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-777	195	7	c.	c.	NOUN
cana-777	195	8	)	)	PUNCT
cana-777	195	9	dimensionality	dimensionality	NOUN
cana-777	195	10	reduction	reduction	NOUN
cana-777	195	11	and	and	CCONJ
cana-777	195	12	feature	feature	NOUN
cana-777	195	13	extraction	extraction	NOUN
cana-777	195	14	:	:	PUNCT
cana-777	195	15	autoencoders	autoencoder	NOUN
cana-777	195	16	exhibit	exhibit	VERB
cana-777	195	17	exceptional	exceptional	ADJ
cana-777	195	18	prowess	prowess	NOUN
cana-777	195	19	in	in	ADP
cana-777	195	20	dimensionality	dimensionality	NOUN
cana-777	195	21	reduction	reduction	NOUN
cana-777	195	22	,	,	PUNCT
cana-777	195	23	compressing	compress	VERB
cana-777	195	24	high	high	ADJ
cana-777	195	25	-	-	PUNCT
cana-777	195	26	dimensional	dimensional	ADJ
cana-777	195	27	network	network	NOUN
cana-777	195	28	data	datum	NOUN
cana-777	195	29	into	into	ADP
cana-777	195	30	a	a	DET
cana-777	195	31	lower	lower	ADV
cana-777	195	32	-	-	PUNCT
cana-777	195	33	dimensional	dimensional	ADJ
cana-777	195	34	representation	representation	NOUN
cana-777	195	35	while	while	SCONJ
cana-777	195	36	retaining	retain	VERB
cana-777	195	37	crucial	crucial	ADJ
cana-777	195	38	information.[31	information.[31	NOUN
cana-777	195	39	]	]	X
cana-777	195	40	d.	d.	PROPN
cana-777	195	41	)	)	PUNCT
cana-777	195	42	privacy	privacy	NOUN
cana-777	195	43	-	-	PUNCT
cana-777	195	44	preserving	preserve	VERB
cana-777	195	45	attributes	attribute	NOUN
cana-777	195	46	:	:	PUNCT
cana-777	195	47	the	the	DET
cana-777	195	48	research	research	NOUN
cana-777	195	49	has	have	AUX
cana-777	195	50	underscored	underscore	VERB
cana-777	195	51	the	the	DET
cana-777	195	52	potential	potential	NOUN
cana-777	195	53	for	for	ADP
cana-777	195	54	autoencoders	autoencoder	NOUN
cana-777	195	55	to	to	PART
cana-777	195	56	safeguard	safeguard	VERB
cana-777	195	57	privacy	privacy	NOUN
cana-777	195	58	.	.	PUNCT
cana-777	196	1	by	by	ADP
cana-777	196	2	encoding	encode	VERB
cana-777	196	3	sensitive	sensitive	ADJ
cana-777	196	4	network	network	NOUN
cana-777	196	5	data	datum	NOUN
cana-777	196	6	into	into	ADP
cana-777	196	7	a	a	DET
cana-777	196	8	latent	latent	NOUN
cana-777	196	9	space	space	NOUN
cana-777	196	10	,	,	PUNCT
cana-777	196	11	autoencoders	autoencoder	NOUN
cana-777	196	12	enable	enable	VERB
cana-777	196	13	the	the	DET
cana-777	196	14	anonymization	anonymization	NOUN
cana-777	196	15	of	of	ADP
cana-777	196	16	original	original	ADJ
cana-777	196	17	data	datum	NOUN
cana-777	196	18	while	while	SCONJ
cana-777	196	19	still	still	ADV
cana-777	196	20	facilitating	facilitate	VERB
cana-777	196	21	effective	effective	ADJ
cana-777	196	22	intrusion	intrusion	NOUN
cana-777	196	23	detection	detection	NOUN
cana-777	196	24	.	.	PUNCT
cana-777	197	1	e.	e.	PROPN
cana-777	197	2	)	)	PUNCT
cana-777	198	1	future	future	ADJ
cana-777	198	2	research	research	NOUN
cana-777	198	3	directions	direction	NOUN
cana-777	198	4	:	:	PUNCT
cana-777	198	5	while	while	SCONJ
cana-777	198	6	this	this	DET
cana-777	198	7	research	research	NOUN
cana-777	198	8	has	have	AUX
cana-777	198	9	made	make	VERB
cana-777	198	10	substantial	substantial	ADJ
cana-777	198	11	progress	progress	NOUN
cana-777	198	12	in	in	ADP
cana-777	198	13	harnessing	harness	VERB
cana-777	198	14	the	the	DET
cana-777	198	15	power	power	NOUN
cana-777	198	16	of	of	ADP
cana-777	198	17	autoencoders	autoencoder	NOUN
cana-777	198	18	for	for	ADP
cana-777	198	19	intrusion	intrusion	NOUN
cana-777	198	20	detection	detection	NOUN
cana-777	198	21	,	,	PUNCT
cana-777	198	22	there	there	PRON
cana-777	198	23	is	be	VERB
cana-777	198	24	an	an	DET
cana-777	198	25	avenue	avenue	NOUN
cana-777	198	26	for	for	ADP
cana-777	198	27	further	further	ADJ
cana-777	198	28	exploration	exploration	NOUN
cana-777	198	29	.	.	PUNCT
cana-777	199	1	future	future	ADJ
cana-777	199	2	endeavors	endeavor	NOUN
cana-777	199	3	may	may	AUX
cana-777	199	4	delve	delve	VERB
cana-777	199	5	into	into	ADP
cana-777	199	6	the	the	DET
cana-777	199	7	fusion	fusion	NOUN
cana-777	199	8	of	of	ADP
cana-777	199	9	autoencoders	autoencoder	NOUN
cana-777	199	10	with	with	ADP
cana-777	199	11	other	other	ADJ
cana-777	199	12	machine	machine	NOUN
cana-777	199	13	learning	learning	NOUN
cana-777	199	14	and	and	CCONJ
cana-777	199	15	deep	deep	ADJ
cana-777	199	16	learning	learning	NOUN
cana-777	199	17	techniques	technique	NOUN
cana-777	199	18	,	,	PUNCT
cana-777	199	19	as	as	ADV
cana-777	199	20	well	well	ADV
cana-777	199	21	as	as	ADP
cana-777	199	22	the	the	DET
cana-777	199	23	development	development	NOUN
cana-777	199	24	of	of	ADP
cana-777	199	25	real	real	ADJ
cana-777	199	26	-	-	PUNCT
cana-777	199	27	time	time	NOUN
cana-777	199	28	intrusion	intrusion	NOUN
cana-777	199	29	detection	detection	NOUN
cana-777	199	30	systems.[33	systems.[33	NOUN
cana-777	199	31	]	]	PUNCT
cana-777	199	32	f.	f.	PROPN
cana-777	199	33	)	)	PUNCT
cana-777	199	34	practical	practical	ADJ
cana-777	199	35	significance	significance	NOUN
cana-777	199	36	:	:	PUNCT
cana-777	199	37	the	the	DET
cana-777	199	38	insights	insight	NOUN
cana-777	199	39	derived	derive	VERB
cana-777	199	40	from	from	ADP
cana-777	199	41	this	this	DET
cana-777	199	42	study	study	NOUN
cana-777	199	43	hold	hold	VERB
cana-777	199	44	practical	practical	ADJ
cana-777	199	45	implications	implication	NOUN
cana-777	199	46	for	for	ADP
cana-777	199	47	network	network	NOUN
cana-777	199	48	security	security	NOUN
cana-777	199	49	professionals	professional	NOUN
cana-777	199	50	and	and	CCONJ
cana-777	199	51	organizations	organization	NOUN
cana-777	199	52	.	.	PUNCT
cana-777	200	1	autoencoder	autoencoder	NOUN
cana-777	200	2	-	-	PUNCT
cana-777	200	3	based	base	VERB
cana-777	200	4	intrusion	intrusion	NOUN
cana-777	200	5	detection	detection	NOUN
cana-777	200	6	systems	system	NOUN
cana-777	200	7	can	can	AUX
cana-777	200	8	serve	serve	VERB
cana-777	200	9	as	as	ADP
cana-777	200	10	pivotal	pivotal	ADJ
cana-777	200	11	tools	tool	NOUN
cana-777	200	12	in	in	ADP
cana-777	200	13	promptly	promptly	ADV
cana-777	200	14	identifying	identify	VERB
cana-777	200	15	and	and	CCONJ
cana-777	200	16	mitigating	mitigate	VERB
cana-777	200	17	security	security	NOUN
cana-777	200	18	vulnerabilities	vulnerability	NOUN
cana-777	200	19	and	and	CCONJ
cana-777	200	20	threats	threat	NOUN
cana-777	200	21	.	.	PUNCT
cana-777	201	1	in	in	ADP
cana-777	201	2	essence	essence	NOUN
cana-777	201	3	,	,	PUNCT
cana-777	201	4	the	the	DET
cana-777	201	5	integration	integration	NOUN
cana-777	201	6	of	of	ADP
cana-777	201	7	autoencoder	autoencoder	NOUN
cana-777	201	8	neural	neural	ADJ
cana-777	201	9	networks	network	NOUN
cana-777	201	10	into	into	ADP
cana-777	201	11	the	the	DET
cana-777	201	12	domain	domain	NOUN
cana-777	201	13	of	of	ADP
cana-777	201	14	network	network	NOUN
cana-777	201	15	intrusion	intrusion	NOUN
cana-777	201	16	detection	detection	NOUN
cana-777	201	17	stands	stand	VERB
cana-777	201	18	as	as	ADP
cana-777	201	19	a	a	DET
cana-777	201	20	pivotal	pivotal	ADJ
cana-777	201	21	advancement	advancement	NOUN
cana-777	201	22	,	,	PUNCT
cana-777	201	23	bolstering	bolster	VERB
cana-777	201	24	the	the	DET
cana-777	201	25	resilience	resilience	NOUN
cana-777	201	26	of	of	ADP
cana-777	201	27	modern	modern	ADJ
cana-777	201	28	network	network	NOUN
cana-777	201	29	infrastructures	infrastructure	NOUN
cana-777	201	30	against	against	ADP
cana-777	201	31	a	a	DET
cana-777	201	32	spectrum	spectrum	NOUN
cana-777	201	33	of	of	ADP
cana-777	201	34	cyber	cyber	NOUN
cana-777	201	35	threats	threat	NOUN
cana-777	201	36	.	.	PUNCT
cana-777	202	1	as	as	SCONJ
cana-777	202	2	the	the	DET
cana-777	202	3	threat	threat	NOUN
cana-777	202	4	landscape	landscape	NOUN
cana-777	202	5	continues	continue	VERB
cana-777	202	6	to	to	PART
cana-777	202	7	evolve	evolve	VERB
cana-777	202	8	,	,	PUNCT
cana-777	202	9	the	the	DET
cana-777	202	10	adoption	adoption	NOUN
cana-777	202	11	of	of	ADP
cana-777	202	12	advanced	advanced	ADJ
cana-777	202	13	machine	machine	NOUN
cana-777	202	14	learning	learn	VERB
cana-777	202	15	techniques	technique	NOUN
cana-777	202	16	,	,	PUNCT
cana-777	202	17	such	such	ADJ
cana-777	202	18	as	as	ADP
cana-777	202	19	autoencoders	autoencoder	NOUN
cana-777	202	20	,	,	PUNCT
cana-777	202	21	becomes	become	VERB
cana-777	202	22	increasingly	increasingly	ADV
cana-777	202	23	indispensable	indispensable	ADJ
cana-777	202	24	for	for	ADP
cana-777	202	25	proactive	proactive	ADJ
cana-777	202	26	and	and	CCONJ
cana-777	202	27	effective	effective	ADJ
cana-777	202	28	cybersecurity	cybersecurity	NOUN
cana-777	202	29	.	.	PUNCT
cana-777	203	1	this	this	DET
cana-777	203	2	research	research	NOUN
cana-777	203	3	contributes	contribute	VERB
cana-777	203	4	to	to	ADP
cana-777	203	5	the	the	DET
cana-777	203	6	ever	ever	ADV
cana-777	203	7	-	-	PUNCT
cana-777	203	8	expanding	expand	VERB
cana-777	203	9	body	body	NOUN
cana-777	203	10	of	of	ADP
cana-777	203	11	knowledge	knowledge	NOUN
cana-777	203	12	in	in	ADP
cana-777	203	13	this	this	DET
cana-777	203	14	field	field	NOUN
cana-777	203	15	and	and	CCONJ
cana-777	203	16	underscores	underscore	VERB
cana-777	203	17	the	the	DET
cana-777	203	18	significance	significance	NOUN
cana-777	203	19	of	of	ADP
cana-777	203	20	ongoing	ongoing	ADJ
cana-777	203	21	exploration	exploration	NOUN
cana-777	203	22	into	into	ADP
cana-777	203	23	innovative	innovative	ADJ
cana-777	203	24	strategies	strategy	NOUN
cana-777	203	25	for	for	ADP
cana-777	203	26	fortifying	fortify	VERB
cana-777	203	27	network	network	NOUN
cana-777	203	28	security	security	NOUN
cana-777	203	29	.	.	PUNCT
cana-777	204	1	references	reference	NOUN
cana-777	204	2	[	[	X
cana-777	204	3	1	1	NUM
cana-777	204	4	]	]	PUNCT
cana-777	204	5	j.gubbi	j.gubbi	NOUN
cana-777	204	6	,	,	PUNCT
cana-777	204	7	r.buyya	r.buyya	NOUN
cana-777	204	8	,	,	PUNCT
cana-777	204	9	marusic	marusic	ADJ
cana-777	204	10	and	and	CCONJ
cana-777	204	11	palaniswami	palaniswami	ADJ
cana-777	204	12	.	.	PUNCT
cana-777	205	1	“internet	“internet	PROPN
cana-777	205	2	of	of	ADP
cana-777	205	3	things(iot	things(iot	NOUN
cana-777	205	4	):	):	PUNCT
cana-777	205	5	a	a	DET
cana-777	205	6	vision	vision	NOUN
cana-777	205	7	,	,	PUNCT
cana-777	205	8	architectural	architectural	ADJ
cana-777	205	9	elements	element	NOUN
cana-777	205	10	,	,	PUNCT
cana-777	205	11	and	and	CCONJ
cana-777	205	12	future	future	ADJ
cana-777	205	13	directions	direction	NOUN
cana-777	205	14	,	,	PUNCT
cana-777	205	15	”	"	PUNCT
cana-777	205	16	elsevier	elsevier	X
cana-777	205	17	future	future	ADJ
cana-777	205	18	generation	generation	NOUN
cana-777	205	19	computer	computer	NOUN
cana-777	205	20	system	system	NOUN
cana-777	205	21	,	,	PUNCT
cana-777	205	22	29(7	29(7	NUM
cana-777	205	23	)	)	PUNCT
cana-777	205	24	,	,	PUNCT
cana-777	205	25	pp	pp	ADP
cana-777	205	26	.	.	PUNCT
cana-777	206	1	1645–1660	1645–1660	NUM
cana-777	206	2	,	,	PUNCT
cana-777	206	3	(	(	PUNCT
cana-777	206	4	2013	2013	NUM
cana-777	206	5	)	)	PUNCT
cana-777	206	6	.	.	PUNCT
cana-777	207	1	[	[	X
cana-777	207	2	2	2	NUM
cana-777	207	3	]	]	X
cana-777	207	4	mashal	mashal	PROPN
cana-777	207	5	.	.	PROPN
cana-777	207	6	,	,	PUNCT
cana-777	207	7	et	et	PROPN
cana-777	207	8	al	al	PROPN
cana-777	207	9	.	.	PUNCT
cana-777	208	1	“	"	PUNCT
cana-777	208	2	choices	choice	NOUN
cana-777	208	3	for	for	ADP
cana-777	208	4	interaction	interaction	NOUN
cana-777	208	5	with	with	ADP
cana-777	208	6	things	thing	NOUN
cana-777	208	7	on	on	ADP
cana-777	208	8	internet	internet	NOUN
cana-777	208	9	and	and	CCONJ
cana-777	208	10	underlying	underlying	ADJ
cana-777	208	11	issues	issue	NOUN
cana-777	208	12	,	,	PUNCT
cana-777	208	13	”	"	PUNCT
cana-777	208	14	ad	ad	X
cana-777	208	15	hoc	hoc	X
cana-777	208	16	networks	network	NOUN
cana-777	208	17	,	,	PUNCT
cana-777	208	18	28	28	NUM
cana-777	208	19	,	,	PUNCT
cana-777	208	20	pp	pp	ADJ
cana-777	208	21	.	.	PUNCT
cana-777	209	1	68–90	68–90	NUM
cana-777	209	2	,	,	PUNCT
cana-777	209	3	(	(	PUNCT
cana-777	209	4	2015	2015	NUM
cana-777	209	5	)	)	PUNCT
cana-777	209	6	.	.	PUNCT
cana-777	210	1	[	[	X
cana-777	210	2	3	3	X
cana-777	210	3	]	]	PUNCT
cana-777	210	4	said	say	VERB
cana-777	210	5	,	,	PUNCT
cana-777	210	6	masud	masud	PROPN
cana-777	210	7	.	.	PUNCT
cana-777	211	1	“	"	PUNCT
cana-777	211	2	towards	towards	ADP
cana-777	211	3	internet	internet	NOUN
cana-777	211	4	of	of	ADP
cana-777	211	5	things	thing	NOUN
cana-777	211	6	:	:	PUNCT
cana-777	211	7	survey	survey	NOUN
cana-777	211	8	and	and	CCONJ
cana-777	211	9	future	future	ADJ
cana-777	211	10	vision	vision	NOUN
cana-777	211	11	,	,	PUNCT
cana-777	211	12	international	international	ADJ
cana-777	211	13	journal	journal	NOUN
cana-777	211	14	of	of	ADP
cana-777	211	15	computer	computer	NOUN
cana-777	211	16	networks	network	NOUN
cana-777	211	17	,	,	PUNCT
cana-777	211	18	”	"	PUNCT
cana-777	211	19	5(11	5(11	NUM
cana-777	211	20	)	)	PUNCT
cana-777	211	21	,	,	PUNCT
cana-777	211	22	(	(	PUNCT
cana-777	211	23	pp	pp	ADV
cana-777	211	24	.	.	PUNCT
cana-777	212	1	1–17	1–17	NOUN
cana-777	212	2	,	,	PUNCT
cana-777	212	3	(	(	PUNCT
cana-777	212	4	2013	2013	NUM
cana-777	212	5	)	)	PUNCT
cana-777	212	6	.	.	PUNCT
cana-777	213	1	[	[	X
cana-777	213	2	4	4	NUM
cana-777	213	3	]	]	X
cana-777	213	4	kumar	kumar	PROPN
cana-777	213	5	,	,	PUNCT
cana-777	213	6	patel	patel	PROPN
cana-777	213	7	.	.	PUNCT
cana-777	214	1	“	"	PUNCT
cana-777	214	2	a	a	DET
cana-777	214	3	survey	survey	NOUN
cana-777	214	4	on	on	ADP
cana-777	214	5	internet	internet	NOUN
cana-777	214	6	of	of	ADP
cana-777	214	7	things	thing	NOUN
cana-777	214	8	,	,	PUNCT
cana-777	214	9	security	security	NOUN
cana-777	214	10	and	and	CCONJ
cana-777	214	11	privacy	privacy	NOUN
cana-777	214	12	issues	issue	NOUN
cana-777	214	13	,	,	PUNCT
cana-777	214	14	international	international	ADJ
cana-777	214	15	journal	journal	NOUN
cana-777	214	16	of	of	ADP
cana-777	214	17	computer	computer	NOUN
cana-777	214	18	applications	application	NOUN
cana-777	214	19	,	,	PUNCT
cana-777	214	20	”	"	PUNCT
cana-777	214	21	pp	pp	ADV
cana-777	214	22	.	.	PUNCT
cana-777	215	1	90	90	NUM
cana-777	215	2	-	-	SYM
cana-777	215	3	11	11	NUM
cana-777	215	4	,	,	PUNCT
cana-777	215	5	(	(	PUNCT
cana-777	215	6	2014	2014	NUM
cana-777	215	7	)	)	PUNCT
cana-777	215	8	.	.	PUNCT
cana-777	216	1	[	[	X
cana-777	216	2	5	5	NUM
cana-777	216	3	]	]	X
cana-777	216	4	kaushik	kaushik	PROPN
cana-777	216	5	.	.	PUNCT
cana-777	217	1	“	"	PUNCT
cana-777	217	2	role	role	NOUN
cana-777	217	3	and	and	CCONJ
cana-777	217	4	application	application	NOUN
cana-777	217	5	of	of	ADP
cana-777	217	6	artificial	artificial	ADJ
cana-777	217	7	intelligence	intelligence	NOUN
cana-777	217	8	in	in	ADP
cana-777	217	9	business	business	NOUN
cana-777	217	10	analytics	analytic	NOUN
cana-777	217	11	:	:	PUNCT
cana-777	217	12	a	a	DET
cana-777	217	13	critical	critical	ADJ
cana-777	217	14	evaluation	evaluation	NOUN
cana-777	217	15	.	.	PUNCT
cana-777	217	16	”	"	PUNCT
cana-777	218	1	international	international	ADJ
cana-777	218	2	journal	journal	NOUN
cana-777	218	3	for	for	ADP
cana-777	218	4	global	global	PROPN
cana-777	218	5	academic	academic	PROPN
cana-777	218	6	&	&	CCONJ
cana-777	218	7	scientific	scientific	ADJ
cana-777	218	8	research	research	NOUN
cana-777	218	9	,	,	PUNCT
cana-777	218	10	1(3	1(3	NUM
cana-777	218	11	)	)	PUNCT
cana-777	218	12	,	,	PUNCT
cana-777	218	13	https://doi.org/10.55938/ijgasr.v1i3.15	https://doi.org/10.55938/ijgasr.v1i3.15	NOUN
cana-777	218	14	,	,	PUNCT
cana-777	218	15	(	(	PUNCT
cana-777	218	16	2022	2022	NUM
cana-777	218	17	)	)	PUNCT
cana-777	218	18	.	.	PUNCT
cana-777	219	1	[	[	X
cana-777	219	2	6	6	NUM
cana-777	219	3	]	]	PUNCT
cana-777	219	4	kaushik	kaushik	PROPN
cana-777	219	5	p.	p.	PROPN
cana-777	219	6	,	,	PUNCT
cana-777	219	7	“	"	PUNCT
cana-777	219	8	deep	deep	ADJ
cana-777	219	9	learning	learning	NOUN
cana-777	219	10	and	and	CCONJ
cana-777	219	11	machine	machine	NOUN
cana-777	219	12	learning	learn	VERB
cana-777	219	13	to	to	PART
cana-777	219	14	diagnose	diagnose	VERB
cana-777	219	15	melanoma	melanoma	NOUN
cana-777	219	16	"	"	PUNCT
cana-777	219	17	,	,	PUNCT
cana-777	219	18	international	international	ADJ
cana-777	219	19	journal	journal	NOUN
cana-777	219	20	of	of	ADP
cana-777	219	21	research	research	NOUN
cana-777	219	22	in	in	ADP
cana-777	219	23	science	science	NOUN
cana-777	219	24	and	and	CCONJ
cana-777	219	25	technology	technology	NOUN
cana-777	219	26	,	,	PUNCT
cana-777	219	27	jan	jan	PROPN
cana-777	219	28	-	-	PUNCT
cana-777	219	29	mar	mar	PROPN
cana-777	219	30	,	,	PUNCT
cana-777	219	31	vol	vol	NOUN
cana-777	219	32	13	13	NUM
cana-777	219	33	,	,	PUNCT
cana-777	219	34	issue	issue	NOUN
cana-777	219	35	1	1	NUM
cana-777	219	36	,	,	PUNCT
cana-777	219	37	58	58	NUM
cana-777	219	38	-	-	SYM
cana-777	219	39	72	72	NUM
cana-777	219	40	,	,	PUNCT
cana-777	219	41	doi	doi	NOUN
cana-777	219	42	:	:	PUNCT
cana-777	219	43	http://doi.org/10.37648/ijrst.v13i01.008	http://doi.org/10.37648/ijrst.v13i01.008	NOUN
cana-777	219	44	,	,	PUNCT
cana-777	219	45	(	(	PUNCT
cana-777	219	46	2023	2023	NUM
cana-777	219	47	)	)	PUNCT
cana-777	219	48	.	.	PUNCT
cana-777	220	1	[	[	X
cana-777	220	2	7	7	NUM
cana-777	220	3	]	]	X
cana-777	220	4	sharma	sharma	NOUN
cana-777	220	5	,	,	PUNCT
cana-777	220	6	kaushik	kaushik	PROPN
cana-777	220	7	,	,	PUNCT
cana-777	220	8	“	"	PUNCT
cana-777	220	9	leveraging	leverage	VERB
cana-777	220	10	sentiment	sentiment	NOUN
cana-777	220	11	analysis	analysis	NOUN
cana-777	220	12	for	for	ADP
cana-777	220	13	twitter	twitter	NOUN
cana-777	220	14	data	datum	NOUN
cana-777	220	15	to	to	PART
cana-777	220	16	uncover	uncover	VERB
cana-777	220	17	user	user	NOUN
cana-777	220	18	opinions	opinion	NOUN
cana-777	220	19	and	and	CCONJ
cana-777	220	20	emotions	emotion	NOUN
cana-777	220	21	.	.	PUNCT
cana-777	221	1	international	international	ADJ
cana-777	221	2	journal	journal	PROPN
cana-777	221	3	on	on	ADP
cana-777	221	4	recent	recent	ADJ
cana-777	221	5	and	and	CCONJ
cana-777	221	6	innovation	innovation	NOUN
cana-777	221	7	trends	trend	NOUN
cana-777	221	8	in	in	ADP
cana-777	221	9	computing	computing	NOUN
cana-777	221	10	and	and	CCONJ
cana-777	221	11	communication	communication	NOUN
cana-777	221	12	,	,	PUNCT
cana-777	221	13	”	"	PUNCT
cana-777	221	14	11(8s	11(8s	NUM
cana-777	221	15	)	)	PUNCT
cana-777	221	16	,	,	PUNCT
cana-777	221	17	162–169	162–169	NUM
cana-777	221	18	.	.	PUNCT
cana-777	221	19	retrieved	retrieve	VERB
cana-777	221	20	from	from	ADP
cana-777	221	21	https://ijritcc.org/index.php/ijritcc/article/view/7186	https://ijritcc.org/index.php/ijritcc/article/view/7186	PROPN
cana-777	221	22	,	,	PUNCT
cana-777	221	23	(	(	PUNCT
cana-777	221	24	2023	2023	NUM
cana-777	221	25	)	)	PUNCT
cana-777	221	26	.	.	PUNCT
cana-777	222	1	[	[	X
cana-777	222	2	8	8	NUM
cana-777	222	3	]	]	X
cana-777	222	4	pratap	pratap	PROPN
cana-777	222	5	singh	singh	PROPN
cana-777	222	6	rathore	rathore	PROPN
cana-777	222	7	.	.	PUNCT
cana-777	223	1	“	"	PUNCT
cana-777	223	2	the	the	DET
cana-777	223	3	impact	impact	NOUN
cana-777	223	4	of	of	ADP
cana-777	223	5	ai	ai	VERB
cana-777	223	6	on	on	ADP
cana-777	223	7	recruitment	recruitment	NOUN
cana-777	223	8	and	and	CCONJ
cana-777	223	9	selection	selection	NOUN
cana-777	223	10	processes	process	NOUN
cana-777	223	11	:	:	PUNCT
cana-777	223	12	analysing	analyse	VERB
cana-777	223	13	the	the	DET
cana-777	223	14	role	role	NOUN
cana-777	223	15	of	of	ADP
cana-777	223	16	ai	ai	VERB
cana-777	223	17	in	in	ADP
cana-777	223	18	automating	automate	VERB
cana-777	223	19	and	and	CCONJ
cana-777	223	20	enhancing	enhance	VERB
cana-777	223	21	recruitment	recruitment	NOUN
cana-777	223	22	and	and	CCONJ
cana-777	223	23	selection	selection	NOUN
cana-777	223	24	procedures	procedure	NOUN
cana-777	223	25	.	.	PUNCT
cana-777	223	26	”	"	PUNCT
cana-777	224	1	international	international	ADJ
cana-777	224	2	journal	journal	NOUN
cana-777	224	3	for	for	ADP
cana-777	224	4	global	global	PROPN
cana-777	224	5	academic	academic	PROPN
cana-777	224	6	&	&	CCONJ
cana-777	224	7	scientific	scientific	PROPN
cana-777	224	8	research,2(2),78–93	research,2(2),78–93	PROPN
cana-777	224	9	.	.	PROPN
cana-777	224	10	https://doi.org/10.55938/ijgasr.v2i2.50	https://doi.org/10.55938/ijgasr.v2i2.50	PROPN
cana-777	224	11	,	,	PUNCT
cana-777	224	12	(	(	PUNCT
cana-777	224	13	2023	2023	NUM
cana-777	224	14	)	)	PUNCT
cana-777	224	15	.	.	PUNCT
cana-777	225	1	[	[	X
cana-777	225	2	9	9	NUM
cana-777	225	3	]	]	SYM
cana-777	225	4	kaushik	kaushik	PROPN
cana-777	225	5	,	,	PUNCT
cana-777	225	6	miglani	miglani	PROPN
cana-777	225	7	,	,	PUNCT
cana-777	225	8	et	et	PROPN
cana-777	225	9	al	al	PROPN
cana-777	225	10	.	.	PUNCT
cana-777	225	11	“	"	PUNCT
cana-777	225	12	hr	hr	NOUN
cana-777	225	13	functions	function	NOUN
cana-777	225	14	productivity	productivity	NOUN
cana-777	225	15	boost	boost	NOUN
cana-777	225	16	by	by	ADP
cana-777	225	17	using	use	VERB
cana-777	225	18	ai	ai	NOUN
cana-777	225	19	.	.	PUNCT
cana-777	225	20	”	"	PUNCT
cana-777	226	1	international	international	ADJ
cana-777	226	2	journal	journal	NOUN
cana-777	226	3	on	on	ADP
cana-777	226	4	recent	recent	ADJ
cana-777	226	5	and	and	CCONJ
cana-777	226	6	innovation	innovation	NOUN
cana-777	226	7	trends	trend	NOUN
cana-777	226	8	in	in	ADP
cana-777	226	9	computing	computing	NOUN
cana-777	226	10	and	and	CCONJ
cana-777	226	11	communication	communication	NOUN
cana-777	226	12	,	,	PUNCT
cana-777	226	13	”	"	PUNCT
cana-777	226	14	11(8s	11(8s	NUM
cana-777	226	15	)	)	PUNCT
cana-777	226	16	,	,	PUNCT
cana-777	226	17	701–713	701–713	NUM
cana-777	226	18	.	.	PUNCT
cana-777	226	19	retrieved	retrieve	VERB
cana-777	226	20	from	from	ADP
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cana-777	226	26	.	.	PUNCT
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cana-777	227	2	https://ijritcc.org/index.php/ijritcc/article/view/7186	https://ijritcc.org/index.php/ijritcc/article/view/7186	VERB
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cana-777	227	8	issn	issn	NOUN
cana-777	227	9	:	:	PUNCT
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cana-777	227	11	-	-	PUNCT
cana-777	227	12	133x	133x	NUM
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cana-777	227	14	31	31	NUM
cana-777	227	15	no	no	NOUN
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cana-777	228	1	3s	3s	NUM
cana-777	228	2	(	(	PUNCT
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cana-777	228	4	)	)	PUNCT
cana-777	228	5	353	353	NUM
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cana-777	229	1	[	[	X
cana-777	229	2	10	10	NUM
cana-777	229	3	]	]	X
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cana-777	229	8	,	,	PUNCT
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cana-777	230	18	.	.	PUNCT
cana-777	230	19	”	"	PUNCT
cana-777	231	1	international	international	ADJ
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cana-777	231	13	11(6s	11(6s	NUM
cana-777	231	14	)	)	PUNCT
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cana-777	231	17	,	,	PUNCT
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cana-777	231	23	.	.	PUNCT
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cana-777	232	3	]	]	X
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cana-777	232	5	,	,	PUNCT
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cana-777	232	7	,	,	PUNCT
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cana-777	232	10	.	.	PUNCT
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cana-777	233	20	.	.	PUNCT
cana-777	233	21	”	"	PUNCT
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cana-777	234	17	.	.	PUNCT
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cana-777	234	19	from	from	ADP
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cana-777	234	22	2023	2023	NUM
cana-777	234	23	)	)	PUNCT
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cana-777	236	21	.	.	PUNCT
cana-777	236	22	”	"	PUNCT
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cana-777	237	9	,	,	PUNCT
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cana-777	237	11	)	)	PUNCT
cana-777	237	12	,	,	PUNCT
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cana-777	241	17	.	.	PUNCT
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cana-777	241	19	from	from	ADP
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cana-777	241	21	(	(	PUNCT
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cana-777	243	30	-	-	SYM
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cana-777	243	42	.	.	PUNCT
cana-777	244	1	“	"	PUNCT
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cana-777	244	13	sector	sector	NOUN
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cana-777	244	15	”	"	PUNCT
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cana-777	245	11	)	)	PUNCT
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cana-777	245	14	.	.	PUNCT
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cana-777	245	17	(	(	PUNCT
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cana-777	246	2	16	16	NUM
cana-777	246	3	]	]	PUNCT
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cana-777	246	5	singh	singh	PROPN
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cana-777	246	9	,	,	PUNCT
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cana-777	247	7	g	g	NOUN
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cana-777	247	9	communication	communication	NOUN
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cana-777	247	11	”	"	PUNCT
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cana-777	249	5	(	(	PUNCT
cana-777	249	6	2023	2023	NUM
cana-777	249	7	)	)	PUNCT
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cana-777	250	1	[	[	X
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cana-777	251	4	-	-	ADJ
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cana-777	251	6	model	model	NOUN
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cana-777	251	10	-	-	PUNCT
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cana-777	251	14	”	"	PUNCT
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cana-777	252	12	,	,	PUNCT
cana-777	252	13	11(9s	11(9s	NUM
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cana-777	252	17	.	.	PUNCT
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cana-777	252	21	,	,	PUNCT
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cana-777	252	24	)	)	PUNCT
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cana-777	253	1	[	[	X
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cana-777	254	1	“	"	PUNCT
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cana-777	255	1	international	international	ADJ
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cana-777	255	5	academic	academic	PROPN
cana-777	255	6	&	&	CCONJ
cana-777	255	7	scientific	scientific	ADJ
cana-777	255	8	research	research	NOUN
cana-777	255	9	,	,	PUNCT
cana-777	255	10	2(2	2(2	NUM
cana-777	255	11	)	)	PUNCT
cana-777	255	12	,	,	PUNCT
cana-777	255	13	01–22	01–22	NUM
cana-777	255	14	.	.	PUNCT
cana-777	256	1	https://doi.org/10.55938/ijgasr.v2i2.45	https://doi.org/10.55938/ijgasr.v2i2.45	PROPN
cana-777	256	2	,	,	PUNCT
cana-777	256	3	(	(	PUNCT
cana-777	256	4	2023	2023	NUM
cana-777	256	5	)	)	PUNCT
cana-777	256	6	.	.	PUNCT
cana-777	257	1	[	[	X
cana-777	257	2	19	19	NUM
cana-777	257	3	]	]	PUNCT
cana-777	257	4	rathore	rathore	NOUN
cana-777	257	5	.	.	PUNCT
cana-777	258	1	“	"	PUNCT
cana-777	258	2	a	a	DET
cana-777	258	3	study	study	NOUN
cana-777	258	4	on	on	ADP
cana-777	258	5	application	application	NOUN
cana-777	258	6	of	of	ADP
cana-777	258	7	stochastic	stochastic	ADJ
cana-777	258	8	queuing	queuing	NOUN
cana-777	258	9	models	model	NOUN
cana-777	258	10	for	for	ADP
cana-777	258	11	control	control	NOUN
cana-777	258	12	of	of	ADP
cana-777	258	13	congestion	congestion	NOUN
cana-777	258	14	and	and	CCONJ
cana-777	258	15	crowding	crowd	VERB
cana-777	258	16	.	.	PUNCT
cana-777	258	17	”	"	PUNCT
cana-777	259	1	international	international	ADJ
cana-777	259	2	journal	journal	NOUN
cana-777	259	3	for	for	ADP
cana-777	259	4	global	global	PROPN
cana-777	259	5	academic	academic	PROPN
cana-777	259	6	&	&	CCONJ
cana-777	259	7	scientific	scientific	ADJ
cana-777	259	8	research	research	NOUN
cana-777	259	9	,	,	PUNCT
cana-777	259	10	1(1	1(1	NUM
cana-777	259	11	)	)	PUNCT
cana-777	259	12	,	,	PUNCT
cana-777	259	13	1–6	1–6	NUM
cana-777	259	14	.	.	PUNCT
cana-777	259	15	https://doi.org/10.55938/ijgasr.v1i1.6	https://doi.org/10.55938/ijgasr.v1i1.6	PROPN
cana-777	259	16	,	,	PUNCT
cana-777	259	17	(	(	PUNCT
cana-777	259	18	2022	2022	NUM
cana-777	259	19	)	)	PUNCT
cana-777	259	20	.	.	PUNCT
cana-777	260	1	[	[	X
cana-777	260	2	20	20	NUM
cana-777	260	3	]	]	PUNCT
cana-777	260	4	abels	abel	NOUN
cana-777	260	5	,	,	PUNCT
cana-777	260	6	khanna	khanna	PROPN
cana-777	260	7	,	,	PUNCT
cana-777	260	8	et	et	PROPN
cana-777	260	9	al	al	PROPN
cana-777	260	10	.	.	PUNCT
cana-777	261	1	“	"	PUNCT
cana-777	261	2	future	future	ADJ
cana-777	261	3	proof	proof	NOUN
cana-777	261	4	iot	iot	NOUN
cana-777	261	5	:	:	PUNCT
cana-777	261	6	composable	composable	ADJ
cana-777	261	7	semantics	semantic	NOUN
cana-777	261	8	,	,	PUNCT
cana-777	261	9	security	security	NOUN
cana-777	261	10	,	,	PUNCT
cana-777	261	11	qos	qos	NOUN
cana-777	261	12	and	and	CCONJ
cana-777	261	13	reliability	reliability	NOUN
cana-777	261	14	,	,	PUNCT
cana-777	261	15	”	"	PUNCT
cana-777	261	16	proc	proc	NOUN
cana-777	261	17	.	.	PUNCT
cana-777	262	1	of	of	ADP
cana-777	262	2	ieee	ieee	NOUN
cana-777	262	3	topical	topical	ADJ
cana-777	262	4	conference	conference	NOUN
cana-777	262	5	on	on	ADP
cana-777	262	6	wireless	wireless	ADJ
cana-777	262	7	sensor	sensor	NOUN
cana-777	262	8	&	&	CCONJ
cana-777	262	9	sensor	sensor	NOUN
cana-777	262	10	networks	network	NOUN
cana-777	262	11	(	(	PUNCT
cana-777	262	12	wisnet	wisnet	NOUN
cana-777	262	13	)	)	PUNCT
cana-777	262	14	,	,	PUNCT
cana-777	262	15	pp.1	pp.1	NOUN
cana-777	262	16	-	-	PUNCT
cana-777	262	17	4	4	NUM
cana-777	262	18	,	,	PUNCT
cana-777	262	19	(	(	PUNCT
cana-777	262	20	2017	2017	NUM
cana-777	262	21	)	)	PUNCT
cana-777	262	22	.	.	PUNCT
cana-777	263	1	[	[	X
cana-777	263	2	21	21	NUM
cana-777	263	3	]	]	X
cana-777	263	4	chandni	chandni	PROPN
cana-777	263	5	,	,	PUNCT
cana-777	263	6	rakesh	rakesh	PROPN
cana-777	263	7	kumar	kumar	PROPN
cana-777	263	8	.	.	PUNCT
cana-777	264	1	“	"	PUNCT
cana-777	264	2	trust	trust	NOUN
cana-777	264	3	based	base	VERB
cana-777	264	4	technique	technique	NOUN
cana-777	264	5	for	for	ADP
cana-777	264	6	the	the	DET
cana-777	264	7	mitigation	mitigation	NOUN
cana-777	264	8	of	of	ADP
cana-777	264	9	version	version	NOUN
cana-777	264	10	number	number	NOUN
cana-777	264	11	attack	attack	NOUN
cana-777	264	12	in	in	ADP
cana-777	264	13	internet	internet	NOUN
cana-777	264	14	of	of	ADP
cana-777	264	15	things	thing	NOUN
cana-777	264	16	”	"	PUNCT
cana-777	264	17	,	,	PUNCT
cana-777	264	18	international	international	ADJ
cana-777	264	19	journal	journal	NOUN
cana-777	264	20	of	of	ADP
cana-777	264	21	recent	recent	ADJ
cana-777	264	22	technology	technology	NOUN
cana-777	264	23	and	and	CCONJ
cana-777	264	24	engineering	engineering	NOUN
cana-777	264	25	(	(	PUNCT
cana-777	264	26	ijrte	ijrte	NOUN
cana-777	264	27	)	)	PUNCT
cana-777	264	28	,	,	PUNCT
cana-777	264	29	8(3	8(3	NUM
cana-777	264	30	)	)	PUNCT
cana-777	264	31	,	,	PUNCT
cana-777	264	32	(	(	PUNCT
cana-777	264	33	2019	2019	NUM
cana-777	264	34	)	)	PUNCT
cana-777	264	35	.	.	PUNCT
cana-777	265	1	[	[	X
cana-777	265	2	22	22	NUM
cana-777	265	3	]	]	X
cana-777	265	4	jyothisree	jyothisree	ADJ
cana-777	265	5	,	,	PUNCT
cana-777	265	6	sreekanth	sreekanth	ADJ
cana-777	265	7	.	.	PUNCT
cana-777	266	1	“	"	PUNCT
cana-777	266	2	attacks	attack	NOUN
cana-777	266	3	in	in	ADP
cana-777	266	4	rpl	rpl	NOUN
cana-777	266	5	and	and	CCONJ
cana-777	266	6	detection	detection	NOUN
cana-777	266	7	technique	technique	NOUN
cana-777	266	8	used	use	VERB
cana-777	266	9	for	for	ADP
cana-777	266	10	internet	internet	NOUN
cana-777	266	11	of	of	ADP
cana-777	266	12	things	thing	NOUN
cana-777	266	13	,	,	PUNCT
cana-777	266	14	"	"	PUNCT
cana-777	266	15	international	international	ADJ
cana-777	266	16	journal	journal	NOUN
cana-777	266	17	of	of	ADP
cana-777	266	18	recent	recent	ADJ
cana-777	266	19	technology	technology	NOUN
cana-777	266	20	and	and	CCONJ
cana-777	266	21	engineering	engineering	NOUN
cana-777	266	22	(	(	PUNCT
cana-777	266	23	ijrte	ijrte	NOUN
cana-777	266	24	)	)	PUNCT
cana-777	266	25	,	,	PUNCT
cana-777	266	26	8(1	8(1	NOUN
cana-777	266	27	)	)	PUNCT
cana-777	266	28	,	,	PUNCT
cana-777	266	29	(	(	PUNCT
cana-777	266	30	2019	2019	NUM
cana-777	266	31	)	)	PUNCT
cana-777	266	32	.	.	PUNCT
cana-777	267	1	[	[	X
cana-777	267	2	23	23	NUM
cana-777	267	3	]	]	X
cana-777	267	4	kaushik	kaushik	PROPN
cana-777	267	5	.	.	PUNCT
cana-777	267	6	“	"	PUNCT
cana-777	267	7	enhanced	enhance	VERB
cana-777	267	8	cloud	cloud	ADJ
cana-777	267	9	car	car	NOUN
cana-777	267	10	parking	parking	NOUN
cana-777	267	11	system	system	NOUN
cana-777	267	12	using	use	VERB
cana-777	267	13	ml	ml	NOUN
cana-777	267	14	and	and	CCONJ
cana-777	267	15	advanced	advanced	ADJ
cana-777	267	16	neural	neural	ADJ
cana-777	267	17	network	network	NOUN
cana-777	267	18	;	;	PUNCT
cana-777	267	19	”	"	PUNCT
cana-777	267	20	international	international	ADJ
cana-777	267	21	journal	journal	NOUN
cana-777	267	22	of	of	ADP
cana-777	267	23	research	research	NOUN
cana-777	267	24	in	in	ADP
cana-777	267	25	science	science	NOUN
cana-777	267	26	and	and	CCONJ
cana-777	267	27	technology	technology	NOUN
cana-777	267	28	,	,	PUNCT
cana-777	267	29	jan	jan	PROPN
cana-777	267	30	-	-	PUNCT
cana-777	267	31	mar	mar	PROPN
cana-777	267	32	,	,	PUNCT
cana-777	267	33	vol	vol	NOUN
cana-777	267	34	13	13	NUM
cana-777	267	35	,	,	PUNCT
cana-777	267	36	issue	issue	NOUN
cana-777	267	37	1	1	NUM
cana-777	267	38	,	,	PUNCT
cana-777	267	39	73	73	NUM
cana-777	267	40	-	-	SYM
cana-777	267	41	86	86	NUM
cana-777	267	42	,	,	PUNCT
cana-777	267	43	doi	doi	NOUN
cana-777	267	44	:	:	PUNCT
cana-777	267	45	http://doi.org/10.37648/ijrst.v13i01.009	http://doi.org/10.37648/ijrst.v13i01.009	X
cana-777	267	46	(	(	PUNCT
cana-777	267	47	2023	2023	NUM
cana-777	267	48	)	)	PUNCT
cana-777	267	49	.	.	PUNCT
cana-777	268	1	[	[	X
cana-777	268	2	24	24	NUM
cana-777	268	3	]	]	X
cana-777	268	4	kaushik	kaushik	PROPN
cana-777	268	5	.	.	PUNCT
cana-777	269	1	“	"	PUNCT
cana-777	269	2	congestion	congestion	NOUN
cana-777	269	3	articulation	articulation	NOUN
cana-777	269	4	control	control	NOUN
cana-777	269	5	using	use	VERB
cana-777	269	6	machine	machine	NOUN
cana-777	269	7	learning	learning	NOUN
cana-777	269	8	technique	technique	NOUN
cana-777	269	9	.	.	PUNCT
cana-777	269	10	”	"	PUNCT
cana-777	270	1	amity	amity	NOUN
cana-777	270	2	journal	journal	NOUN
cana-777	270	3	of	of	ADP
cana-777	270	4	professional	professional	ADJ
cana-777	270	5	practices	practice	NOUN
cana-777	270	6	,	,	PUNCT
cana-777	270	7	3(01	3(01	NUM
cana-777	270	8	)	)	PUNCT
cana-777	270	9	.	.	PUNCT
cana-777	271	1	https://doi.org/10.55054/ajpp.v3i01.631	https://doi.org/10.55054/ajpp.v3i01.631	PROPN
cana-777	271	2	(	(	PUNCT
cana-777	271	3	2023	2023	NUM
cana-777	271	4	)	)	PUNCT
cana-777	271	5	.	.	PUNCT
cana-777	272	1	[	[	X
cana-777	272	2	25	25	NUM
cana-777	272	3	]	]	PUNCT
cana-777	272	4	verma	verma	PROPN
cana-777	272	5	,	,	PUNCT
cana-777	272	6	ranga	ranga	PROPN
cana-777	272	7	.	.	PUNCT
cana-777	273	1	“analysis	“analysis	NOUN
cana-777	273	2	of	of	ADP
cana-777	273	3	routing	route	VERB
cana-777	273	4	attacks	attack	NOUN
cana-777	273	5	on	on	ADP
cana-777	273	6	rpl	rpl	NOUN
cana-777	273	7	based	base	VERB
cana-777	273	8	6lowpan	6lowpan	NUM
cana-777	273	9	networks	network	NOUN
cana-777	273	10	,	,	PUNCT
cana-777	273	11	”	"	PUNCT
cana-777	273	12	international	international	ADJ
cana-777	273	13	journal	journal	NOUN
cana-777	273	14	of	of	ADP
cana-777	273	15	grid	grid	NOUN
cana-777	273	16	and	and	CCONJ
cana-777	273	17	soft	soft	ADJ
cana-777	273	18	computing	computing	NOUN
cana-777	273	19	,	,	PUNCT
cana-777	273	20	11(8	11(8	NUM
cana-777	273	21	)	)	PUNCT
cana-777	273	22	,	,	PUNCT
cana-777	273	23	pp	pp	PROPN
cana-777	273	24	.	.	PUNCT
cana-777	274	1	43	43	NUM
cana-777	274	2	-	-	SYM
cana-777	274	3	56	56	NUM
cana-777	274	4	,	,	PUNCT
cana-777	274	5	(	(	PUNCT
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cana-777	274	7	)	)	PUNCT
cana-777	274	8	.	.	PUNCT
cana-777	275	1	[	[	X
cana-777	275	2	26	26	NUM
cana-777	275	3	]	]	X
cana-777	275	4	aris	aris	PROPN
cana-777	275	5	.	.	PUNCT
cana-777	275	6	et	et	PROPN
cana-777	275	7	al	al	PROPN
cana-777	275	8	.	.	PUNCT
cana-777	276	1	“	"	PUNCT
cana-777	276	2	rpl	rpl	NOUN
cana-777	276	3	version	version	NOUN
cana-777	276	4	number	number	NOUN
cana-777	276	5	attacks	attack	NOUN
cana-777	276	6	:	:	PUNCT
cana-777	276	7	in	in	ADP
cana-777	276	8	-	-	PUNCT
cana-777	276	9	depth	depth	NOUN
cana-777	276	10	study	study	NOUN
cana-777	276	11	,	,	PUNCT
cana-777	276	12	noms	nom	NOUN
cana-777	276	13	2016	2016	NUM
cana-777	276	14	,	,	PUNCT
cana-777	276	15	”	"	PUNCT
cana-777	276	16	ieee	ieee	NOUN
cana-777	276	17	/	/	SYM
cana-777	276	18	ifip	ifip	PROPN
cana-777	276	19	network	network	NOUN
cana-777	276	20	operations	operation	NOUN
cana-777	276	21	and	and	CCONJ
cana-777	276	22	management	management	NOUN
cana-777	276	23	symposium	symposium	NOUN
cana-777	276	24	,	,	PUNCT
cana-777	276	25	(	(	PUNCT
cana-777	276	26	2016	2016	NUM
cana-777	276	27	)	)	PUNCT
cana-777	276	28	.	.	PUNCT
cana-777	277	1	[	[	X
cana-777	277	2	27	27	NUM
cana-777	277	3	]	]	SYM
cana-777	277	4	arış	arış	PROPN
cana-777	277	5	,	,	PUNCT
cana-777	277	6	oktuğ	oktuğ	VERB
cana-777	277	7	,	,	PUNCT
cana-777	277	8	“	"	PUNCT
cana-777	277	9	analysis	analysis	NOUN
cana-777	277	10	of	of	ADP
cana-777	277	11	the	the	DET
cana-777	277	12	rpl	rpl	NOUN
cana-777	277	13	version	version	NOUN
cana-777	277	14	number	number	NOUN
cana-777	277	15	attack	attack	NOUN
cana-777	277	16	with	with	ADP
cana-777	277	17	multiple	multiple	ADJ
cana-777	277	18	attackers	attacker	NOUN
cana-777	277	19	,	,	PUNCT
cana-777	277	20	”	"	PUNCT
cana-777	277	21	international	international	ADJ
cana-777	277	22	conference	conference	NOUN
cana-777	277	23	on	on	ADP
cana-777	277	24	cyber	cyber	PROPN
cana-777	277	25	situational	situational	ADJ
cana-777	277	26	awareness	awareness	NOUN
cana-777	277	27	,	,	PUNCT
cana-777	277	28	data	datum	NOUN
cana-777	277	29	analytics	analytic	NOUN
cana-777	277	30	and	and	CCONJ
cana-777	277	31	assessment	assessment	NOUN
cana-777	277	32	(	(	PUNCT
cana-777	277	33	cybersa	cybersa	PROPN
cana-777	277	34	)	)	PUNCT
cana-777	277	35	,	,	PUNCT
cana-777	277	36	(	(	PUNCT
cana-777	277	37	2020	2020	NUM
cana-777	277	38	)	)	PUNCT
cana-777	277	39	.	.	PUNCT
cana-777	278	1	[	[	X
cana-777	278	2	28	28	NUM
cana-777	278	3	]	]	X
cana-777	278	4	kaushik	kaushik	PROPN
cana-777	278	5	.	.	PUNCT
cana-777	279	1	“	"	PUNCT
cana-777	279	2	artificial	artificial	ADJ
cana-777	279	3	intelligence	intelligence	NOUN
cana-777	279	4	accelerated	accelerate	VERB
cana-777	279	5	transformation	transformation	NOUN
cana-777	279	6	in	in	ADP
cana-777	279	7	the	the	DET
cana-777	279	8	healthcare	healthcare	NOUN
cana-777	279	9	industry	industry	NOUN
cana-777	279	10	.	.	PUNCT
cana-777	279	11	”	"	PUNCT
cana-777	280	1	amity	amity	NOUN
cana-777	280	2	journal	journal	NOUN
cana-777	280	3	of	of	ADP
cana-777	280	4	professional	professional	ADJ
cana-777	280	5	practices	practice	NOUN
cana-777	280	6	,	,	PUNCT
cana-777	280	7	3(01	3(01	NUM
cana-777	280	8	)	)	PUNCT
cana-777	280	9	.	.	PUNCT
cana-777	281	1	https://doi.org/10.55054/ajpp.v3i01.630	https://doi.org/10.55054/ajpp.v3i01.630	NOUN
cana-777	281	2	(	(	PUNCT
cana-777	281	3	2023	2023	NUM
cana-777	281	4	)	)	PUNCT
cana-777	281	5	.	.	PUNCT
cana-777	282	1	[	[	X
cana-777	282	2	29	29	NUM
cana-777	282	3	]	]	X
cana-777	282	4	kaushik	kaushik	PROPN
cana-777	282	5	,	,	PUNCT
cana-777	282	6	“	"	PUNCT
cana-777	282	7	unleashing	unleash	VERB
cana-777	282	8	the	the	DET
cana-777	282	9	power	power	NOUN
cana-777	282	10	of	of	ADP
cana-777	282	11	multi	multi	ADJ
cana-777	282	12	-	-	ADJ
cana-777	282	13	agent	agent	ADJ
cana-777	282	14	deep	deep	ADJ
cana-777	282	15	learning	learning	NOUN
cana-777	282	16	:	:	PUNCT
cana-777	282	17	cyber	cyber	ADJ
cana-777	282	18	-	-	PUNCT
cana-777	282	19	attack	attack	NOUN
cana-777	282	20	detection	detection	NOUN
cana-777	282	21	in	in	ADP
cana-777	282	22	iot	iot	NOUN
cana-777	282	23	.	.	PUNCT
cana-777	282	24	”	"	PUNCT
cana-777	282	25	international	international	ADJ
cana-777	282	26	journal	journal	NOUN
cana-777	282	27	for	for	ADP
cana-777	282	28	global	global	PROPN
cana-777	282	29	academic	academic	PROPN
cana-777	282	30	&	&	CCONJ
cana-777	282	31	scientific	scientific	ADJ
cana-777	282	32	research	research	NOUN
cana-777	282	33	,	,	PUNCT
cana-777	282	34	2(2	2(2	NUM
cana-777	282	35	)	)	PUNCT
cana-777	282	36	,	,	PUNCT
cana-777	282	37	23–45	23–45	NUM
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cana-777	284	4	iot	iot	NOUN
cana-777	284	5	,	,	PUNCT
cana-777	284	6	international	international	ADJ
cana-777	284	7	conference	conference	NOUN
cana-777	284	8	on	on	ADP
cana-777	284	9	computer	computer	NOUN
cana-777	284	10	science	science	NOUN
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cana-777	284	12	engineering	engineering	NOUN
cana-777	284	13	(	(	PUNCT
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cana-777	284	15	)	)	PUNCT
cana-777	284	16	.	.	PUNCT
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cana-777	285	1	(	(	PUNCT
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cana-777	285	3	)	)	PUNCT
cana-777	285	4	.	.	PUNCT
cana-777	286	1	https://ijritcc.org/index.php/ijritcc/article/view/7256	https://ijritcc.org/index.php/ijritcc/article/view/7256	X
cana-777	286	2	https://doi.org/10.55938/ijgasr.v2i2.49	https://doi.org/10.55938/ijgasr.v2i2.49	PROPN
cana-777	286	3	https://ijritcc.org/index.php/ijritcc/article/view/7218	https://ijritcc.org/index.php/ijritcc/article/view/7218	X
cana-777	286	4	https://doi.org/10.55938/ijgasr.v1i2.11	https://doi.org/10.55938/ijgasr.v1i2.11	VERB
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cana-777	286	8	http://doi.org/10.37648/ijrst.v13i01.009	http://doi.org/10.37648/ijrst.v13i01.009	PROPN
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cana-777	287	4	on	on	ADP
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cana-777	287	9	:	:	PUNCT
cana-777	287	10	1074	1074	NUM
cana-777	287	11	-	-	PUNCT
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cana-777	287	13	vol	vol	NOUN
cana-777	287	14	31	31	NUM
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cana-777	288	2	(	(	PUNCT
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cana-777	288	4	)	)	PUNCT
cana-777	288	5	354	354	NUM
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cana-777	289	1	[	[	X
cana-777	289	2	31	31	NUM
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cana-777	289	15	version	version	NOUN
cana-777	289	16	number	number	NOUN
cana-777	289	17	attack	attack	NOUN
cana-777	289	18	in	in	ADP
cana-777	289	19	internet	internet	NOUN
cana-777	289	20	of	of	ADP
cana-777	289	21	things	thing	NOUN
cana-777	289	22	,	,	PUNCT
cana-777	289	23	”	"	PUNCT
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cana-777	289	25	journal	journal	NOUN
cana-777	289	26	of	of	ADP
cana-777	289	27	recent	recent	ADJ
cana-777	289	28	technology	technology	NOUN
cana-777	289	29	and	and	CCONJ
cana-777	289	30	engineering	engineering	NOUN
cana-777	289	31	(	(	PUNCT
cana-777	289	32	ijrte	ijrte	NOUN
cana-777	289	33	)	)	PUNCT
cana-777	289	34	,	,	PUNCT
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cana-777	289	36	)	)	PUNCT
cana-777	289	37	,	,	PUNCT
cana-777	289	38	(	(	PUNCT
cana-777	289	39	2019	2019	NUM
cana-777	289	40	)	)	PUNCT
cana-777	289	41	.	.	PUNCT
cana-777	290	1	[	[	X
cana-777	290	2	32	32	NUM
cana-777	290	3	]	]	X
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cana-777	290	5	,	,	PUNCT
cana-777	290	6	sreekanth	sreekanth	ADJ
cana-777	290	7	,	,	PUNCT
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cana-777	290	10	in	in	ADP
cana-777	290	11	rpl	rpl	NOUN
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cana-777	290	13	detection	detection	NOUN
cana-777	290	14	technique	technique	NOUN
cana-777	290	15	used	use	VERB
cana-777	290	16	for	for	ADP
cana-777	290	17	internet	internet	NOUN
cana-777	290	18	of	of	ADP
cana-777	290	19	things	thing	NOUN
cana-777	290	20	,	,	PUNCT
cana-777	290	21	”	"	PUNCT
cana-777	290	22	international	international	ADJ
cana-777	290	23	journal	journal	NOUN
cana-777	290	24	of	of	ADP
cana-777	290	25	recent	recent	ADJ
cana-777	290	26	technology	technology	NOUN
cana-777	290	27	and	and	CCONJ
cana-777	290	28	engineering	engineering	NOUN
cana-777	290	29	(	(	PUNCT
cana-777	290	30	ijrte	ijrte	NOUN
cana-777	290	31	)	)	PUNCT
cana-777	290	32	,	,	PUNCT
cana-777	290	33	8(1	8(1	NOUN
cana-777	290	34	)	)	PUNCT
cana-777	290	35	,	,	PUNCT
cana-777	290	36	(	(	PUNCT
cana-777	290	37	2019	2019	NUM
cana-777	290	38	)	)	PUNCT
cana-777	290	39	.	.	PUNCT
cana-777	291	1	[	[	X
cana-777	291	2	33	33	NUM
cana-777	291	3	]	]	PUNCT
cana-777	291	4	verma	verma	PROPN
cana-777	291	5	,	,	PUNCT
cana-777	291	6	ranga	ranga	PROPN
cana-777	291	7	.	.	PUNCT
cana-777	292	1	“analysis	“analysis	NOUN
cana-777	292	2	of	of	ADP
cana-777	292	3	routing	route	VERB
cana-777	292	4	attacks	attack	NOUN
cana-777	292	5	on	on	ADP
cana-777	292	6	rpl	rpl	NOUN
cana-777	292	7	based	base	VERB
cana-777	292	8	6lowpan	6lowpan	NUM
cana-777	292	9	networks	network	NOUN
cana-777	292	10	,	,	PUNCT
cana-777	292	11	”	"	PUNCT
cana-777	292	12	international	international	ADJ
cana-777	292	13	journal	journal	NOUN
cana-777	292	14	of	of	ADP
cana-777	292	15	grid	grid	NOUN
cana-777	292	16	and	and	CCONJ
cana-777	292	17	soft	soft	ADJ
cana-777	292	18	computing	computing	NOUN
cana-777	292	19	,	,	PUNCT
cana-777	292	20	11(8	11(8	NUM
cana-777	292	21	)	)	PUNCT
cana-777	292	22	,	,	PUNCT
cana-777	292	23	pp	pp	ADP
cana-777	292	24	43	43	NUM
cana-777	292	25	-	-	SYM
cana-777	292	26	56	56	NUM
cana-777	292	27	,	,	PUNCT
cana-777	292	28	(	(	PUNCT
cana-777	292	29	2018	2018	NUM
cana-777	292	30	)	)	PUNCT
cana-777	292	31	.	.	PUNCT
cana-777	293	1	[	[	X
cana-777	293	2	34	34	NUM
cana-777	293	3	]	]	X
cana-777	293	4	aris	aris	PROPN
cana-777	293	5	,	,	PUNCT
cana-777	293	6	oktug	oktug	PROPN
cana-777	293	7	,	,	PUNCT
cana-777	293	8	et	et	PROPN
cana-777	293	9	al	al	PROPN
cana-777	293	10	.	.	PUNCT
cana-777	294	1	“	"	PUNCT
cana-777	294	2	rpl	rpl	NOUN
cana-777	294	3	version	version	NOUN
cana-777	294	4	number	number	NOUN
cana-777	294	5	attacks	attack	NOUN
cana-777	294	6	:	:	PUNCT
cana-777	294	7	in	in	ADP
cana-777	294	8	-	-	PUNCT
cana-777	294	9	depth	depth	NOUN
cana-777	294	10	study	study	NOUN
cana-777	294	11	,	,	PUNCT
cana-777	294	12	ieee	ieee	NOUN
cana-777	294	13	/	/	SYM
cana-777	294	14	ifip	ifip	PROPN
cana-777	294	15	network	network	NOUN
cana-777	294	16	operations	operation	NOUN
cana-777	294	17	and	and	CCONJ
cana-777	294	18	management	management	NOUN
cana-777	294	19	symposium	symposium	NOUN
cana-777	294	20	,	,	PUNCT
cana-777	294	21	”	"	PUNCT
cana-777	294	22	(	(	PUNCT
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cana-777	294	24	)	)	PUNCT
cana-777	294	25	.	.	PUNCT
cana-777	295	1	[	[	X
cana-777	295	2	35	35	NUM
cana-777	295	3	]	]	SYM
cana-777	295	4	arış	arış	NOUN
cana-777	295	5	,	,	PUNCT
cana-777	295	6	oktuğ	oktuğ	ADJ
cana-777	295	7	.	.	PUNCT
cana-777	296	1	“	"	PUNCT
cana-777	296	2	analysis	analysis	NOUN
cana-777	296	3	of	of	ADP
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cana-777	296	6	version	version	NOUN
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cana-777	296	12	.	.	PUNCT
cana-777	296	13	”	"	PUNCT
cana-777	297	1	international	international	ADJ
cana-777	297	2	conference	conference	NOUN
cana-777	297	3	on	on	ADP
cana-777	297	4	cyber	cyber	PROPN
cana-777	297	5	situational	situational	ADJ
cana-777	297	6	awareness	awareness	NOUN
cana-777	297	7	,	,	PUNCT
cana-777	297	8	data	datum	NOUN
cana-777	297	9	analytics	analytic	NOUN
cana-777	297	10	and	and	CCONJ
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cana-777	297	12	(	(	PUNCT
cana-777	297	13	cybersa	cybersa	PROPN
cana-777	297	14	)	)	PUNCT
cana-777	297	15	.	.	PUNCT
cana-777	298	1	computer	computer	NOUN
cana-777	298	2	science	science	NOUN
cana-777	298	3	and	and	CCONJ
cana-777	298	4	engineering	engineering	NOUN
cana-777	298	5	(	(	PUNCT
cana-777	298	6	ubmk	ubmk	PROPN
cana-777	298	7	)	)	PUNCT
cana-777	298	8	,	,	PUNCT
cana-777	298	9	(	(	PUNCT
cana-777	298	10	2020	2020	NUM
cana-777	298	11	)	)	PUNCT