id	sid	tid	token	lemma	pos
cana-666	1	1	communications	communication	NOUN
cana-666	1	2	on	on	ADP
cana-666	1	3	applied	apply	VERB
cana-666	1	4	nonlinear	nonlinear	ADJ
cana-666	1	5	analysis	analysis	NOUN
cana-666	1	6	issn	issn	NOUN
cana-666	1	7	:	:	PUNCT
cana-666	1	8	1074	1074	NUM
cana-666	1	9	-	-	PUNCT
cana-666	1	10	133x	133x	NUM
cana-666	1	11	vol	vol	NOUN
cana-666	1	12	31	31	NUM
cana-666	1	13	no	no	NOUN
cana-666	1	14	.	.	PUNCT
cana-666	2	1	2s	2s	NUM
cana-666	2	2	(	(	PUNCT
cana-666	2	3	2024	2024	NUM
cana-666	2	4	)	)	PUNCT
cana-666	2	5	546	546	NUM
cana-666	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	2	7	statistical	statistical	ADJ
cana-666	2	8	implementation	implementation	NOUN
cana-666	2	9	for	for	ADP
cana-666	2	10	sd	sd	NOUN
cana-666	2	11	-	-	PUNCT
cana-666	2	12	rnn	rnn	NOUN
cana-666	2	13	model	model	NOUN
cana-666	2	14	for	for	ADP
cana-666	2	15	multi	multi	ADJ
cana-666	2	16	-	-	ADJ
cana-666	2	17	class	class	ADJ
cana-666	2	18	classification	classification	NOUN
cana-666	2	19	for	for	ADP
cana-666	2	20	network	network	NOUN
cana-666	2	21	intrusion	intrusion	NOUN
cana-666	2	22	detection	detection	NOUN
cana-666	2	23	system	system	NOUN
cana-666	2	24	nekita	nekita	PROPN
cana-666	2	25	chavhan1	chavhan1	PROPN
cana-666	2	26	,	,	PUNCT
cana-666	2	27	dr	dr	PROPN
cana-666	2	28	.	.	PROPN
cana-666	2	29	prasad	prasad	PROPN
cana-666	2	30	lokulwar2	lokulwar2	PROPN
cana-666	2	31	1phd	1phd	NUM
cana-666	2	32	scholar	scholar	NOUN
cana-666	2	33	,	,	PUNCT
cana-666	2	34	g	g	PROPN
cana-666	2	35	h	h	PROPN
cana-666	2	36	raisoni	raisoni	PROPN
cana-666	2	37	university	university	PROPN
cana-666	2	38	,	,	PUNCT
cana-666	2	39	amravati	amravati	PROPN
cana-666	2	40	,	,	PUNCT
cana-666	2	41	india	india	PROPN
cana-666	2	42	assistant	assistant	PROPN
cana-666	2	43	professor	professor	PROPN
cana-666	2	44	department	department	PROPN
cana-666	2	45	of	of	ADP
cana-666	2	46	data	data	PROPN
cana-666	2	47	science	science	NOUN
cana-666	2	48	iot	iot	PROPN
cana-666	2	49	and	and	CCONJ
cana-666	2	50	cyber	cyber	ADJ
cana-666	2	51	security	security	NOUN
cana-666	2	52	,	,	PUNCT
cana-666	2	53	g	g	PROPN
cana-666	2	54	h	h	PROPN
cana-666	2	55	raisoni	raisoni	PROPN
cana-666	2	56	college	college	PROPN
cana-666	2	57	of	of	ADP
cana-666	2	58	engineering	engineering	PROPN
cana-666	2	59	,	,	PUNCT
cana-666	2	60	nagpur	nagpur	PROPN
cana-666	2	61	.	.	PUNCT
cana-666	3	1	email	email	NOUN
cana-666	4	1	i	i	PROPN
cana-666	4	2	d	d	PROPN
cana-666	4	3	:	:	PUNCT
cana-666	4	4	nekita.chavan@raisoni.net	nekita.chavan@raisoni.net	PROPN
cana-666	4	5	2professor	2professor	NUM
cana-666	4	6	,	,	PUNCT
cana-666	4	7	department	department	NOUN
cana-666	4	8	of	of	ADP
cana-666	4	9	computer	computer	NOUN
cana-666	4	10	science	science	NOUN
cana-666	4	11	and	and	CCONJ
cana-666	4	12	engineering	engineering	NOUN
cana-666	4	13	,	,	PUNCT
cana-666	4	14	g	g	PROPN
cana-666	4	15	h	h	PROPN
cana-666	4	16	raisoni	raisoni	PROPN
cana-666	4	17	college	college	PROPN
cana-666	4	18	of	of	ADP
cana-666	4	19	engineering	engineering	PROPN
cana-666	4	20	,	,	PUNCT
cana-666	4	21	nagpur	nagpur	PROPN
cana-666	4	22	email	email	NOUN
cana-666	5	1	i	i	PROPN
cana-666	5	2	d	d	PROPN
cana-666	5	3	:	:	PUNCT
cana-666	5	4	prasad.lokulwar@raisoni.net	prasad.lokulwar@raisoni.net	PROPN
cana-666	5	5	article	article	NOUN
cana-666	5	6	history	history	NOUN
cana-666	5	7	:	:	PUNCT
cana-666	5	8	received	receive	VERB
cana-666	5	9	:	:	PUNCT
cana-666	5	10	16	16	NUM
cana-666	5	11	-	-	SYM
cana-666	5	12	03	03	NUM
cana-666	5	13	-	-	PUNCT
cana-666	5	14	2024	2024	NUM
cana-666	5	15	revised	revise	VERB
cana-666	5	16	:	:	PUNCT
cana-666	5	17	08	08	NUM
cana-666	5	18	-	-	PUNCT
cana-666	5	19	05	05	NUM
cana-666	5	20	-	-	PUNCT
cana-666	5	21	2024	2024	NUM
cana-666	5	22	accepted	accept	VERB
cana-666	5	23	:	:	PUNCT
cana-666	5	24	28	28	NUM
cana-666	5	25	-	-	SYM
cana-666	5	26	05	05	NUM
cana-666	5	27	-	-	PUNCT
cana-666	5	28	2024	2024	NUM
cana-666	5	29	abstract	abstract	NOUN
cana-666	5	30	:	:	PUNCT
cana-666	5	31	with	with	ADP
cana-666	5	32	the	the	DET
cana-666	5	33	increasing	increase	VERB
cana-666	5	34	popularity	popularity	NOUN
cana-666	5	35	of	of	ADP
cana-666	5	36	technologies	technology	NOUN
cana-666	5	37	that	that	PRON
cana-666	5	38	depend	depend	VERB
cana-666	5	39	on	on	ADP
cana-666	5	40	computer	computer	NOUN
cana-666	5	41	networks	network	NOUN
cana-666	5	42	,	,	PUNCT
cana-666	5	43	providing	provide	VERB
cana-666	5	44	security	security	NOUN
cana-666	5	45	is	be	AUX
cana-666	5	46	of	of	ADP
cana-666	5	47	paramount	paramount	ADJ
cana-666	5	48	importance	importance	NOUN
cana-666	5	49	.	.	PUNCT
cana-666	6	1	consequently	consequently	ADV
cana-666	6	2	,	,	PUNCT
cana-666	6	3	intrusion	intrusion	NOUN
cana-666	6	4	detection	detection	NOUN
cana-666	6	5	systems	system	NOUN
cana-666	6	6	(	(	PUNCT
cana-666	6	7	ids	id	NOUN
cana-666	6	8	)	)	PUNCT
cana-666	6	9	play	play	VERB
cana-666	6	10	a	a	DET
cana-666	6	11	vital	vital	ADJ
cana-666	6	12	role	role	NOUN
cana-666	6	13	in	in	ADP
cana-666	6	14	monitoring	monitor	VERB
cana-666	6	15	these	these	DET
cana-666	6	16	networks	network	NOUN
cana-666	6	17	.	.	PUNCT
cana-666	7	1	an	an	DET
cana-666	7	2	essential	essential	ADJ
cana-666	7	3	element	element	NOUN
cana-666	7	4	in	in	ADP
cana-666	7	5	securing	secure	VERB
cana-666	7	6	the	the	DET
cana-666	7	7	network	network	NOUN
cana-666	7	8	of	of	ADP
cana-666	7	9	an	an	DET
cana-666	7	10	organization	organization	NOUN
cana-666	7	11	is	be	AUX
cana-666	7	12	the	the	DET
cana-666	7	13	intrusion	intrusion	NOUN
cana-666	7	14	detection	detection	NOUN
cana-666	7	15	system	system	NOUN
cana-666	7	16	(	(	PUNCT
cana-666	7	17	ids	id	NOUN
cana-666	7	18	)	)	PUNCT
cana-666	7	19	,	,	PUNCT
cana-666	7	20	which	which	PRON
cana-666	7	21	serves	serve	VERB
cana-666	7	22	as	as	ADP
cana-666	7	23	the	the	DET
cana-666	7	24	primary	primary	ADJ
cana-666	7	25	barrier	barrier	NOUN
cana-666	7	26	against	against	ADP
cana-666	7	27	cyber	cyber	NOUN
cana-666	7	28	threats	threat	NOUN
cana-666	7	29	and	and	CCONJ
cana-666	7	30	is	be	AUX
cana-666	7	31	tasked	task	VERB
cana-666	7	32	with	with	ADP
cana-666	7	33	thwarting	thwart	VERB
cana-666	7	34	illegal	illegal	ADJ
cana-666	7	35	entry	entry	NOUN
cana-666	7	36	into	into	ADP
cana-666	7	37	the	the	DET
cana-666	7	38	network	network	NOUN
cana-666	7	39	.	.	PUNCT
cana-666	8	1	flow	flow	NOUN
cana-666	8	2	-	-	PUNCT
cana-666	8	3	based	base	VERB
cana-666	8	4	network	network	NOUN
cana-666	8	5	traffic	traffic	NOUN
cana-666	8	6	analysis	analysis	NOUN
cana-666	8	7	is	be	AUX
cana-666	8	8	commonly	commonly	ADV
cana-666	8	9	used	use	VERB
cana-666	8	10	in	in	ADP
cana-666	8	11	ids	id	NOUN
cana-666	8	12	solutions	solution	NOUN
cana-666	8	13	to	to	PART
cana-666	8	14	identify	identify	VERB
cana-666	8	15	security	security	NOUN
cana-666	8	16	concerns	concern	NOUN
cana-666	8	17	.	.	PUNCT
cana-666	9	1	in	in	ADP
cana-666	9	2	recent	recent	ADJ
cana-666	9	3	years	year	NOUN
cana-666	9	4	,	,	PUNCT
cana-666	9	5	several	several	ADJ
cana-666	9	6	innovative	innovative	ADJ
cana-666	9	7	strategies	strategy	NOUN
cana-666	9	8	have	have	AUX
cana-666	9	9	been	be	AUX
cana-666	9	10	proposed	propose	VERB
cana-666	9	11	and	and	CCONJ
cana-666	9	12	implemented	implement	VERB
cana-666	9	13	to	to	PART
cana-666	9	14	address	address	VERB
cana-666	9	15	the	the	DET
cana-666	9	16	issue	issue	NOUN
cana-666	9	17	of	of	ADP
cana-666	9	18	network	network	NOUN
cana-666	9	19	security	security	NOUN
cana-666	9	20	,	,	PUNCT
cana-666	9	21	with	with	ADP
cana-666	9	22	a	a	DET
cana-666	9	23	specific	specific	ADJ
cana-666	9	24	focus	focus	NOUN
cana-666	9	25	on	on	ADP
cana-666	9	26	intrusion	intrusion	NOUN
cana-666	9	27	detection	detection	NOUN
cana-666	9	28	systems	system	NOUN
cana-666	9	29	(	(	PUNCT
cana-666	9	30	idss	idss	NOUN
cana-666	9	31	)	)	PUNCT
cana-666	9	32	.	.	PUNCT
cana-666	10	1	the	the	DET
cana-666	10	2	creation	creation	NOUN
cana-666	10	3	of	of	ADP
cana-666	10	4	intrusion	intrusion	NOUN
cana-666	10	5	detection	detection	NOUN
cana-666	10	6	systems	system	NOUN
cana-666	10	7	using	use	VERB
cana-666	10	8	ai	ai	VERB
cana-666	10	9	methods	method	NOUN
cana-666	10	10	is	be	AUX
cana-666	10	11	a	a	DET
cana-666	10	12	modern	modern	ADJ
cana-666	10	13	method	method	NOUN
cana-666	10	14	for	for	ADP
cana-666	10	15	finding	find	VERB
cana-666	10	16	breaches	breach	NOUN
cana-666	10	17	in	in	ADP
cana-666	10	18	a	a	DET
cana-666	10	19	network	network	NOUN
cana-666	10	20	.	.	PUNCT
cana-666	11	1	since	since	SCONJ
cana-666	11	2	there	there	PRON
cana-666	11	3	are	be	VERB
cana-666	11	4	many	many	ADJ
cana-666	11	5	possible	possible	ADJ
cana-666	11	6	approaches	approach	NOUN
cana-666	11	7	,	,	PUNCT
cana-666	11	8	it	it	PRON
cana-666	11	9	is	be	AUX
cana-666	11	10	important	important	ADJ
cana-666	11	11	to	to	PART
cana-666	11	12	have	have	VERB
cana-666	11	13	a	a	DET
cana-666	11	14	standardized	standardized	ADJ
cana-666	11	15	method	method	NOUN
cana-666	11	16	that	that	PRON
cana-666	11	17	facilitates	facilitate	VERB
cana-666	11	18	good	good	ADJ
cana-666	11	19	judgement	judgement	NOUN
cana-666	11	20	when	when	SCONJ
cana-666	11	21	classifying	classify	VERB
cana-666	11	22	intrusions	intrusion	NOUN
cana-666	11	23	.	.	PUNCT
cana-666	12	1	this	this	DET
cana-666	12	2	paper	paper	NOUN
cana-666	12	3	presents	present	VERB
cana-666	12	4	a	a	DET
cana-666	12	5	novel	novel	ADJ
cana-666	12	6	approach	approach	NOUN
cana-666	12	7	utilizing	utilize	VERB
cana-666	12	8	deep	deep	ADJ
cana-666	12	9	learning	learning	NOUN
cana-666	12	10	and	and	CCONJ
cana-666	12	11	machine	machine	NOUN
cana-666	12	12	learning	learning	NOUN
cana-666	12	13	modelling	modelling	NOUN
cana-666	12	14	to	to	PART
cana-666	12	15	develop	develop	VERB
cana-666	12	16	a	a	DET
cana-666	12	17	model	model	NOUN
cana-666	12	18	for	for	ADP
cana-666	12	19	multi	multi	ADJ
cana-666	12	20	-	-	ADJ
cana-666	12	21	class	class	ADJ
cana-666	12	22	classification	classification	NOUN
cana-666	12	23	.	.	PUNCT
cana-666	13	1	the	the	DET
cana-666	13	2	principal	principal	ADJ
cana-666	13	3	objective	objective	NOUN
cana-666	13	4	is	be	AUX
cana-666	13	5	to	to	PART
cana-666	13	6	create	create	VERB
cana-666	13	7	ids	id	NOUN
cana-666	13	8	that	that	PRON
cana-666	13	9	can	can	AUX
cana-666	13	10	effectively	effectively	ADV
cana-666	13	11	detect	detect	VERB
cana-666	13	12	anomalies	anomaly	NOUN
cana-666	13	13	using	use	VERB
cana-666	13	14	flow	flow	NOUN
cana-666	13	15	-	-	PUNCT
cana-666	13	16	based	base	VERB
cana-666	13	17	analysis	analysis	NOUN
cana-666	13	18	.	.	PUNCT
cana-666	14	1	the	the	DET
cana-666	14	2	latest	late	ADJ
cana-666	14	3	cicids2017	cicids2017	NOUN
cana-666	14	4	dataset	dataset	NOUN
cana-666	14	5	is	be	AUX
cana-666	14	6	used	use	VERB
cana-666	14	7	in	in	ADP
cana-666	14	8	experimentation	experimentation	NOUN
cana-666	14	9	for	for	ADP
cana-666	14	10	testing	testing	NOUN
cana-666	14	11	and	and	CCONJ
cana-666	14	12	training	training	NOUN
cana-666	14	13	.	.	PUNCT
cana-666	15	1	the	the	DET
cana-666	15	2	experiments	experiment	NOUN
cana-666	15	3	performed	perform	VERB
cana-666	15	4	with	with	ADP
cana-666	15	5	a	a	DET
cana-666	15	6	deep	deep	ADJ
cana-666	15	7	learning	learning	NOUN
cana-666	15	8	model	model	NOUN
cana-666	15	9	for	for	ADP
cana-666	15	10	ids	id	NOUN
cana-666	15	11	produced	produce	VERB
cana-666	15	12	promising	promising	ADJ
cana-666	15	13	results	result	NOUN
cana-666	15	14	,	,	PUNCT
cana-666	15	15	achieving	achieve	VERB
cana-666	15	16	a	a	DET
cana-666	15	17	99.77	99.77	NUM
cana-666	15	18	%	%	NOUN
cana-666	15	19	accuracy	accuracy	NOUN
cana-666	15	20	rate	rate	NOUN
cana-666	15	21	for	for	ADP
cana-666	15	22	multi	multi	ADJ
cana-666	15	23	-	-	ADJ
cana-666	15	24	class	class	ADJ
cana-666	15	25	classification	classification	NOUN
cana-666	15	26	while	while	SCONJ
cana-666	15	27	employing	employ	VERB
cana-666	15	28	the	the	DET
cana-666	15	29	specific	specific	ADJ
cana-666	15	30	dataset	dataset	NOUN
cana-666	15	31	.	.	PUNCT
cana-666	16	1	keywords	keyword	NOUN
cana-666	16	2	:	:	PUNCT
cana-666	16	3	cybersecurity	cybersecurity	NOUN
cana-666	16	4	,	,	PUNCT
cana-666	16	5	deep	deep	ADJ
cana-666	16	6	learning	learning	NOUN
cana-666	16	7	,	,	PUNCT
cana-666	16	8	machine	machine	NOUN
cana-666	16	9	learning	learning	NOUN
cana-666	16	10	,	,	PUNCT
cana-666	16	11	multi	multi	ADJ
cana-666	16	12	-	-	ADJ
cana-666	16	13	class	class	ADJ
cana-666	16	14	classification	classification	NOUN
cana-666	16	15	,	,	PUNCT
cana-666	16	16	network	network	NOUN
cana-666	16	17	intrusion	intrusion	NOUN
cana-666	16	18	detection	detection	NOUN
cana-666	16	19	system	system	NOUN
cana-666	16	20	.	.	PUNCT
cana-666	17	1	1	1	X
cana-666	17	2	.	.	X
cana-666	17	3	introduction	introduction	NOUN
cana-666	17	4	cyberattacks	cyberattack	NOUN
cana-666	17	5	come	come	VERB
cana-666	17	6	in	in	ADP
cana-666	17	7	many	many	ADJ
cana-666	17	8	forms	form	NOUN
cana-666	17	9	nowadays	nowadays	ADV
cana-666	17	10	,	,	PUNCT
cana-666	17	11	and	and	CCONJ
cana-666	17	12	the	the	DET
cana-666	17	13	internet	internet	NOUN
cana-666	17	14	is	be	AUX
cana-666	17	15	always	always	ADV
cana-666	17	16	under	under	ADP
cana-666	17	17	siege	siege	NOUN
cana-666	17	18	.	.	PUNCT
cana-666	18	1	the	the	DET
cana-666	18	2	flaws	flaw	NOUN
cana-666	18	3	in	in	ADP
cana-666	18	4	the	the	DET
cana-666	18	5	system	system	NOUN
cana-666	18	6	are	be	AUX
cana-666	18	7	what	what	PRON
cana-666	18	8	produce	produce	VERB
cana-666	18	9	the	the	DET
cana-666	18	10	intrusions	intrusion	NOUN
cana-666	18	11	.	.	PUNCT
cana-666	19	1	as	as	SCONJ
cana-666	19	2	more	more	ADJ
cana-666	19	3	of	of	ADP
cana-666	19	4	our	our	PRON
cana-666	19	5	lives	life	NOUN
cana-666	19	6	are	be	AUX
cana-666	19	7	conducted	conduct	VERB
cana-666	19	8	online	online	ADV
cana-666	19	9	,	,	PUNCT
cana-666	19	10	it	it	PRON
cana-666	19	11	's	be	AUX
cana-666	19	12	crucial	crucial	ADJ
cana-666	19	13	that	that	SCONJ
cana-666	19	14	we	we	PRON
cana-666	19	15	take	take	VERB
cana-666	19	16	precautions	precaution	NOUN
cana-666	19	17	to	to	PART
cana-666	19	18	protect	protect	VERB
cana-666	19	19	our	our	PRON
cana-666	19	20	personal	personal	ADJ
cana-666	19	21	data	datum	NOUN
cana-666	19	22	.	.	PUNCT
cana-666	20	1	there	there	PRON
cana-666	20	2	is	be	VERB
cana-666	20	3	a	a	DET
cana-666	20	4	growing	grow	VERB
cana-666	20	5	need	need	NOUN
cana-666	20	6	to	to	PART
cana-666	20	7	create	create	VERB
cana-666	20	8	a	a	DET
cana-666	20	9	dependable	dependable	ADJ
cana-666	20	10	and	and	CCONJ
cana-666	20	11	adaptable	adaptable	ADJ
cana-666	20	12	intrusion	intrusion	NOUN
cana-666	20	13	detection	detection	NOUN
cana-666	20	14	system	system	NOUN
cana-666	20	15	(	(	PUNCT
cana-666	20	16	ids	id	NOUN
cana-666	20	17	)	)	PUNCT
cana-666	21	1	[	[	X
cana-666	21	2	1	1	X
cana-666	21	3	]	]	PUNCT
cana-666	21	4	since	since	SCONJ
cana-666	21	5	the	the	DET
cana-666	21	6	nature	nature	NOUN
cana-666	21	7	and	and	CCONJ
cana-666	21	8	methods	method	NOUN
cana-666	21	9	of	of	ADP
cana-666	21	10	infiltration	infiltration	NOUN
cana-666	21	11	evolve	evolve	VERB
cana-666	21	12	over	over	ADP
cana-666	21	13	time	time	NOUN
cana-666	21	14	with	with	ADP
cana-666	21	15	the	the	DET
cana-666	21	16	sophistication	sophistication	NOUN
cana-666	21	17	of	of	ADP
cana-666	21	18	attackers	attacker	NOUN
cana-666	21	19	.	.	PUNCT
cana-666	22	1	ids	ids	PROPN
cana-666	22	2	serves	serve	VERB
cana-666	22	3	the	the	DET
cana-666	22	4	function	function	NOUN
cana-666	22	5	of	of	ADP
cana-666	22	6	monitoring	monitor	VERB
cana-666	22	7	network	network	NOUN
cana-666	22	8	traffic	traffic	NOUN
cana-666	22	9	and	and	CCONJ
cana-666	22	10	identifying	identify	VERB
cana-666	22	11	any	any	DET
cana-666	22	12	potentially	potentially	ADV
cana-666	22	13	malicious	malicious	ADJ
cana-666	22	14	or	or	CCONJ
cana-666	22	15	unauthorized	unauthorized	ADJ
cana-666	22	16	actions	action	NOUN
cana-666	22	17	.	.	PUNCT
cana-666	23	1	various	various	ADJ
cana-666	23	2	approaches	approach	NOUN
cana-666	23	3	have	have	AUX
cana-666	23	4	been	be	AUX
cana-666	23	5	proposed	propose	VERB
cana-666	23	6	for	for	ADP
cana-666	23	7	the	the	DET
cana-666	23	8	construction	construction	NOUN
cana-666	23	9	of	of	ADP
cana-666	23	10	the	the	DET
cana-666	23	11	ids	id	NOUN
cana-666	23	12	.	.	PUNCT
cana-666	24	1	there	there	PRON
cana-666	24	2	is	be	VERB
cana-666	24	3	a	a	DET
cana-666	24	4	lot	lot	NOUN
cana-666	24	5	that	that	PRON
cana-666	24	6	has	have	VERB
cana-666	24	7	to	to	PART
cana-666	24	8	be	be	AUX
cana-666	24	9	done	do	VERB
cana-666	24	10	to	to	PART
cana-666	24	11	make	make	VERB
cana-666	24	12	ids	id	NOUN
cana-666	24	13	more	more	ADV
cana-666	24	14	effective	effective	ADJ
cana-666	24	15	.	.	PUNCT
cana-666	25	1	various	various	ADJ
cana-666	25	2	data	datum	NOUN
cana-666	25	3	mining	mining	NOUN
cana-666	25	4	and	and	CCONJ
cana-666	25	5	machine	machine	NOUN
cana-666	25	6	learning	learning	NOUN
cana-666	25	7	approaches	approach	NOUN
cana-666	25	8	have	have	AUX
cana-666	25	9	been	be	AUX
cana-666	25	10	developed	develop	VERB
cana-666	25	11	throughout	throughout	ADP
cana-666	25	12	the	the	DET
cana-666	25	13	years	year	NOUN
cana-666	25	14	to	to	PART
cana-666	25	15	improve	improve	VERB
cana-666	25	16	ids	id	NOUN
cana-666	25	17	.	.	PUNCT
cana-666	26	1	all	all	PRON
cana-666	26	2	of	of	ADP
cana-666	26	3	these	these	DET
cana-666	26	4	systems	system	NOUN
cana-666	26	5	,	,	PUNCT
cana-666	26	6	however	however	ADV
cana-666	26	7	,	,	PUNCT
cana-666	26	8	have	have	VERB
cana-666	26	9	shortcomings	shortcoming	NOUN
cana-666	26	10	that	that	PRON
cana-666	26	11	make	make	VERB
cana-666	26	12	it	it	PRON
cana-666	26	13	easy	easy	ADJ
cana-666	26	14	for	for	SCONJ
cana-666	26	15	an	an	DET
cana-666	26	16	attacker	attacker	NOUN
cana-666	26	17	to	to	ADP
cana-666	26	18	communications	communication	NOUN
cana-666	26	19	on	on	ADP
cana-666	26	20	applied	apply	VERB
cana-666	26	21	nonlinear	nonlinear	ADJ
cana-666	26	22	analysis	analysis	NOUN
cana-666	26	23	issn	issn	NOUN
cana-666	26	24	:	:	PUNCT
cana-666	26	25	1074	1074	NUM
cana-666	26	26	-	-	PUNCT
cana-666	26	27	133x	133x	NUM
cana-666	26	28	vol	vol	NOUN
cana-666	26	29	31	31	NUM
cana-666	26	30	no	no	NOUN
cana-666	26	31	.	.	PUNCT
cana-666	27	1	2s	2s	NUM
cana-666	27	2	(	(	PUNCT
cana-666	27	3	2024	2024	NUM
cana-666	27	4	)	)	PUNCT
cana-666	27	5	547	547	NUM
cana-666	27	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	27	7	compromise	compromise	VERB
cana-666	27	8	the	the	DET
cana-666	27	9	system	system	NOUN
cana-666	27	10	.	.	PUNCT
cana-666	28	1	while	while	SCONJ
cana-666	28	2	some	some	DET
cana-666	28	3	intrusion	intrusion	NOUN
cana-666	28	4	detection	detection	NOUN
cana-666	28	5	systems	system	NOUN
cana-666	28	6	only	only	ADV
cana-666	28	7	monitor	monitor	VERB
cana-666	28	8	network	network	NOUN
cana-666	28	9	traffic	traffic	NOUN
cana-666	28	10	and	and	CCONJ
cana-666	28	11	issue	issue	NOUN
cana-666	28	12	alerts	alert	VERB
cana-666	28	13	if	if	SCONJ
cana-666	28	14	something	something	PRON
cana-666	28	15	out	out	ADP
cana-666	28	16	of	of	ADP
cana-666	28	17	the	the	DET
cana-666	28	18	ordinary	ordinary	ADJ
cana-666	28	19	occurs	occur	NOUN
cana-666	28	20	,	,	PUNCT
cana-666	28	21	others	other	NOUN
cana-666	28	22	take	take	VERB
cana-666	28	23	corrective	corrective	ADJ
cana-666	28	24	measures	measure	NOUN
cana-666	28	25	once	once	SCONJ
cana-666	28	26	threats	threat	NOUN
cana-666	28	27	are	be	AUX
cana-666	28	28	identified	identify	VERB
cana-666	28	29	[	[	PUNCT
cana-666	28	30	2	2	NUM
cana-666	28	31	]	]	PUNCT
cana-666	28	32	.	.	PUNCT
cana-666	29	1	today	today	NOUN
cana-666	29	2	's	's	PART
cana-666	29	3	computer	computer	NOUN
cana-666	29	4	programmers	programmer	NOUN
cana-666	29	5	are	be	AUX
cana-666	29	6	indispensable	indispensable	ADJ
cana-666	29	7	since	since	SCONJ
cana-666	29	8	they	they	PRON
cana-666	29	9	facilitate	facilitate	VERB
cana-666	29	10	so	so	ADV
cana-666	29	11	many	many	ADJ
cana-666	29	12	aspects	aspect	NOUN
cana-666	29	13	of	of	ADP
cana-666	29	14	daily	daily	ADJ
cana-666	29	15	living	living	NOUN
cana-666	29	16	.	.	PUNCT
cana-666	30	1	modern	modern	ADJ
cana-666	30	2	computer	computer	NOUN
cana-666	30	3	applications	application	NOUN
cana-666	30	4	have	have	AUX
cana-666	30	5	resulted	result	VERB
cana-666	30	6	in	in	ADP
cana-666	30	7	the	the	DET
cana-666	30	8	transmission	transmission	NOUN
cana-666	30	9	of	of	ADP
cana-666	30	10	large	large	ADJ
cana-666	30	11	amounts	amount	NOUN
cana-666	30	12	of	of	ADP
cana-666	30	13	data	datum	NOUN
cana-666	30	14	,	,	PUNCT
cana-666	30	15	including	include	VERB
cana-666	30	16	private	private	ADJ
cana-666	30	17	information	information	NOUN
cana-666	30	18	,	,	PUNCT
cana-666	30	19	across	across	ADP
cana-666	30	20	the	the	DET
cana-666	30	21	internet	internet	NOUN
cana-666	30	22	.	.	PUNCT
cana-666	31	1	given	give	VERB
cana-666	31	2	their	their	PRON
cana-666	31	3	capacity	capacity	NOUN
cana-666	31	4	to	to	PART
cana-666	31	5	constantly	constantly	ADV
cana-666	31	6	monitor	monitor	VERB
cana-666	31	7	networks	network	NOUN
cana-666	31	8	in	in	ADP
cana-666	31	9	search	search	NOUN
cana-666	31	10	of	of	ADP
cana-666	31	11	signs	sign	NOUN
cana-666	31	12	of	of	ADP
cana-666	31	13	malicious	malicious	ADJ
cana-666	31	14	activity	activity	NOUN
cana-666	31	15	,	,	PUNCT
cana-666	31	16	idss	idss	ADV
cana-666	31	17	hold	hold	VERB
cana-666	31	18	great	great	ADJ
cana-666	31	19	promise	promise	NOUN
cana-666	31	20	as	as	ADP
cana-666	31	21	a	a	DET
cana-666	31	22	means	means	NOUN
cana-666	31	23	of	of	ADP
cana-666	31	24	keeping	keep	VERB
cana-666	31	25	sensitive	sensitive	ADJ
cana-666	31	26	user	user	NOUN
cana-666	31	27	information	information	NOUN
cana-666	31	28	safe	safe	ADJ
cana-666	31	29	[	[	X
cana-666	31	30	3	3	NUM
cana-666	31	31	]	]	PUNCT
cana-666	31	32	.	.	PUNCT
cana-666	32	1	however	however	ADV
cana-666	32	2	,	,	PUNCT
cana-666	32	3	because	because	SCONJ
cana-666	32	4	of	of	ADP
cana-666	32	5	the	the	DET
cana-666	32	6	large	large	ADJ
cana-666	32	7	amount	amount	NOUN
cana-666	32	8	of	of	ADP
cana-666	32	9	network	network	NOUN
cana-666	32	10	traffic	traffic	NOUN
cana-666	32	11	and	and	CCONJ
cana-666	32	12	the	the	DET
cana-666	32	13	wide	wide	ADJ
cana-666	32	14	range	range	NOUN
cana-666	32	15	of	of	ADP
cana-666	32	16	threats	threat	NOUN
cana-666	32	17	,	,	PUNCT
cana-666	32	18	it	it	PRON
cana-666	32	19	is	be	AUX
cana-666	32	20	necessary	necessary	ADJ
cana-666	32	21	to	to	PART
cana-666	32	22	have	have	VERB
cana-666	32	23	a	a	DET
cana-666	32	24	system	system	NOUN
cana-666	32	25	with	with	ADP
cana-666	32	26	intelligence	intelligence	NOUN
cana-666	32	27	that	that	PRON
cana-666	32	28	can	can	AUX
cana-666	32	29	independently	independently	ADV
cana-666	32	30	acquire	acquire	VERB
cana-666	32	31	and	and	CCONJ
cana-666	32	32	recognize	recognize	VERB
cana-666	32	33	attacks	attack	NOUN
cana-666	32	34	.	.	PUNCT
cana-666	33	1	malicious	malicious	ADJ
cana-666	33	2	actions	action	NOUN
cana-666	33	3	may	may	AUX
cana-666	33	4	be	be	AUX
cana-666	33	5	categorized	categorize	VERB
cana-666	33	6	as	as	ADP
cana-666	33	7	a	a	DET
cana-666	33	8	classification	classification	NOUN
cana-666	33	9	and	and	CCONJ
cana-666	33	10	dimensionality	dimensionality	NOUN
cana-666	33	11	reduction	reduction	NOUN
cana-666	33	12	challenge	challenge	NOUN
cana-666	33	13	from	from	ADP
cana-666	33	14	the	the	DET
cana-666	33	15	perspective	perspective	NOUN
cana-666	33	16	of	of	ADP
cana-666	33	17	machine	machine	NOUN
cana-666	33	18	learning	learning	NOUN
cana-666	33	19	(	(	PUNCT
cana-666	33	20	ml	ml	NOUN
cana-666	33	21	)	)	PUNCT
cana-666	33	22	and	and	CCONJ
cana-666	33	23	deep	deep	ADJ
cana-666	33	24	learning	learning	NOUN
cana-666	33	25	(	(	PUNCT
cana-666	33	26	dl	dl	NOUN
cana-666	33	27	)	)	PUNCT
cana-666	33	28	.	.	PUNCT
cana-666	34	1	it	it	PRON
cana-666	34	2	is	be	AUX
cana-666	34	3	standard	standard	ADJ
cana-666	34	4	practice	practice	NOUN
cana-666	34	5	to	to	PART
cana-666	34	6	utilize	utilize	VERB
cana-666	34	7	ml	ml	ADV
cana-666	34	8	and	and	CCONJ
cana-666	34	9	dl	dl	X
cana-666	34	10	to	to	PART
cana-666	34	11	incorporate	incorporate	VERB
cana-666	34	12	intelligence	intelligence	NOUN
cana-666	34	13	into	into	ADP
cana-666	34	14	an	an	DET
cana-666	34	15	ids	id	NOUN
cana-666	34	16	,	,	PUNCT
cana-666	34	17	making	make	VERB
cana-666	34	18	it	it	PRON
cana-666	34	19	simple	simple	ADJ
cana-666	34	20	to	to	PART
cana-666	34	21	identify	identify	VERB
cana-666	34	22	assaults	assault	NOUN
cana-666	34	23	of	of	ADP
cana-666	34	24	any	any	DET
cana-666	34	25	form	form	NOUN
cana-666	34	26	and	and	CCONJ
cana-666	34	27	protecting	protect	VERB
cana-666	34	28	systems	system	NOUN
cana-666	34	29	from	from	ADP
cana-666	34	30	any	any	DET
cana-666	34	31	danger	danger	NOUN
cana-666	34	32	.	.	PUNCT
cana-666	35	1	however	however	ADV
cana-666	35	2	,	,	PUNCT
cana-666	35	3	picking	pick	VERB
cana-666	35	4	the	the	DET
cana-666	35	5	correct	correct	ADJ
cana-666	35	6	dataset	dataset	NOUN
cana-666	35	7	is	be	AUX
cana-666	35	8	crucial	crucial	ADJ
cana-666	35	9	for	for	ADP
cana-666	35	10	developing	develop	VERB
cana-666	35	11	an	an	DET
cana-666	35	12	effective	effective	ADJ
cana-666	35	13	ml	ml	NOUN
cana-666	35	14	model	model	NOUN
cana-666	35	15	for	for	ADP
cana-666	35	16	intrusion	intrusion	NOUN
cana-666	35	17	detection	detection	NOUN
cana-666	35	18	.	.	PUNCT
cana-666	36	1	this	this	DET
cana-666	36	2	section	section	NOUN
cana-666	36	3	discusses	discuss	VERB
cana-666	36	4	the	the	DET
cana-666	36	5	use	use	NOUN
cana-666	36	6	of	of	ADP
cana-666	36	7	various	various	ADJ
cana-666	36	8	ml	ml	NOUN
cana-666	36	9	and	and	CCONJ
cana-666	36	10	dl	dl	NOUN
cana-666	36	11	-	-	PUNCT
cana-666	36	12	based	base	VERB
cana-666	36	13	methods	method	NOUN
cana-666	36	14	that	that	PRON
cana-666	36	15	are	be	AUX
cana-666	36	16	currently	currently	ADV
cana-666	36	17	accessible	accessible	ADJ
cana-666	36	18	to	to	ADP
cana-666	36	19	publicly	publicly	ADV
cana-666	36	20	available	available	ADJ
cana-666	36	21	ids	id	NOUN
cana-666	36	22	datasets	dataset	NOUN
cana-666	36	23	.	.	PUNCT
cana-666	37	1	the	the	DET
cana-666	37	2	primary	primary	ADJ
cana-666	37	3	objective	objective	NOUN
cana-666	37	4	of	of	ADP
cana-666	37	5	the	the	DET
cana-666	37	6	study	study	NOUN
cana-666	37	7	[	[	X
cana-666	37	8	5	5	NUM
cana-666	37	9	]	]	PUNCT
cana-666	37	10	is	be	AUX
cana-666	37	11	to	to	PART
cana-666	37	12	implement	implement	VERB
cana-666	37	13	ml	ml	NOUN
cana-666	37	14	-	-	PUNCT
cana-666	37	15	supervised	supervise	VERB
cana-666	37	16	algorithms	algorithms	NOUN
cana-666	37	17	-	-	PUNCT
cana-666	37	18	based	base	VERB
cana-666	37	19	ids	id	NOUN
cana-666	37	20	for	for	ADP
cana-666	37	21	iot	iot	NOUN
cana-666	37	22	and	and	CCONJ
cana-666	37	23	identify	identify	VERB
cana-666	37	24	attacks	attack	NOUN
cana-666	37	25	on	on	ADP
cana-666	37	26	networks	network	NOUN
cana-666	37	27	connected	connect	VERB
cana-666	37	28	to	to	ADP
cana-666	37	29	the	the	DET
cana-666	37	30	iot	iot	NOUN
cana-666	37	31	[	[	X
cana-666	37	32	5	5	NUM
cana-666	37	33	]	]	PUNCT
cana-666	37	34	.	.	PUNCT
cana-666	38	1	for	for	ADP
cana-666	38	2	preprocessing	preprocesse	VERB
cana-666	38	3	impact	impact	NOUN
cana-666	38	4	analysis	analysis	NOUN
cana-666	38	5	,	,	PUNCT
cana-666	38	6	the	the	DET
cana-666	38	7	svm	svm	ADJ
cana-666	38	8	classifier	classifier	NOUN
cana-666	39	1	[	[	X
cana-666	39	2	6	6	NUM
cana-666	39	3	]	]	PUNCT
cana-666	39	4	was	be	AUX
cana-666	39	5	utilized	utilize	VERB
cana-666	39	6	as	as	ADP
cana-666	39	7	a	a	DET
cana-666	39	8	classifier	classifier	NOUN
cana-666	39	9	due	due	ADP
cana-666	39	10	to	to	ADP
cana-666	39	11	its	its	PRON
cana-666	39	12	high	high	ADJ
cana-666	39	13	accuracy	accuracy	NOUN
cana-666	39	14	and	and	CCONJ
cana-666	39	15	ease	ease	NOUN
cana-666	39	16	of	of	ADP
cana-666	39	17	use	use	NOUN
cana-666	39	18	.	.	PUNCT
cana-666	40	1	the	the	DET
cana-666	40	2	trained	train	VERB
cana-666	40	3	model	model	NOUN
cana-666	40	4	uses	use	VERB
cana-666	40	5	the	the	DET
cana-666	40	6	pattern	pattern	NOUN
cana-666	40	7	recognition	recognition	NOUN
cana-666	40	8	capabilities	capability	NOUN
cana-666	40	9	of	of	ADP
cana-666	40	10	a	a	DET
cana-666	40	11	neural	neural	ADJ
cana-666	40	12	network	network	NOUN
cana-666	40	13	for	for	ADP
cana-666	40	14	machine	machine	NOUN
cana-666	40	15	learning	learn	VERB
cana-666	40	16	to	to	PART
cana-666	40	17	successfully	successfully	ADV
cana-666	40	18	identify	identify	VERB
cana-666	40	19	virtually	virtually	ADV
cana-666	40	20	all	all	PRON
cana-666	40	21	conceivable	conceivable	ADJ
cana-666	40	22	attacks	attack	NOUN
cana-666	40	23	in	in	ADP
cana-666	40	24	a	a	DET
cana-666	40	25	software	software	NOUN
cana-666	40	26	-	-	PUNCT
cana-666	40	27	defined	define	VERB
cana-666	40	28	networking	networking	NOUN
cana-666	40	29	(	(	PUNCT
cana-666	40	30	sdn	sdn	PROPN
cana-666	40	31	)	)	PUNCT
cana-666	40	32	environment	environment	NOUN
cana-666	40	33	,	,	PUNCT
cana-666	40	34	as	as	SCONJ
cana-666	40	35	presented	present	VERB
cana-666	40	36	in	in	ADP
cana-666	40	37	[	[	X
cana-666	40	38	7	7	NUM
cana-666	40	39	]	]	PUNCT
cana-666	40	40	.	.	PUNCT
cana-666	41	1	the	the	DET
cana-666	41	2	machine	machine	NOUN
cana-666	41	3	learning	learn	VERB
cana-666	41	4	approach	approach	NOUN
cana-666	41	5	to	to	ADP
cana-666	41	6	detecting	detect	VERB
cana-666	41	7	attacks	attack	NOUN
cana-666	41	8	on	on	ADP
cana-666	41	9	network	network	NOUN
cana-666	41	10	traffic	traffic	NOUN
cana-666	41	11	used	use	VERB
cana-666	41	12	many	many	ADJ
cana-666	41	13	categories	category	NOUN
cana-666	41	14	[	[	X
cana-666	41	15	8	8	NUM
cana-666	41	16	]	]	PUNCT
cana-666	41	17	.	.	PUNCT
cana-666	42	1	model	model	NOUN
cana-666	42	2	of	of	ADP
cana-666	42	3	computer	computer	NOUN
cana-666	42	4	attack	attack	NOUN
cana-666	42	5	detection	detection	NOUN
cana-666	42	6	created	create	VERB
cana-666	42	7	[	[	PUNCT
cana-666	42	8	9	9	NUM
cana-666	42	9	]	]	PUNCT
cana-666	42	10	using	use	VERB
cana-666	42	11	machine	machine	NOUN
cana-666	42	12	learning	learning	NOUN
cana-666	42	13	techniques	technique	NOUN
cana-666	42	14	,	,	PUNCT
cana-666	42	15	and	and	CCONJ
cana-666	42	16	its	its	PRON
cana-666	42	17	implementation	implementation	NOUN
cana-666	42	18	.	.	PUNCT
cana-666	43	1	the	the	DET
cana-666	43	2	novel	novel	ADJ
cana-666	43	3	hybrid	hybrid	NOUN
cana-666	43	4	method	method	NOUN
cana-666	43	5	[	[	X
cana-666	43	6	10	10	NUM
cana-666	43	7	]	]	PUNCT
cana-666	43	8	uses	use	VERB
cana-666	43	9	a	a	DET
cana-666	43	10	stacking	stacking	NOUN
cana-666	43	11	system	system	NOUN
cana-666	43	12	to	to	PART
cana-666	43	13	merge	merge	VERB
cana-666	43	14	decision	decision	NOUN
cana-666	43	15	tree	tree	NOUN
cana-666	43	16	and	and	CCONJ
cana-666	43	17	random	random	ADJ
cana-666	43	18	forest	forest	NOUN
cana-666	43	19	algorithms	algorithm	NOUN
cana-666	43	20	.	.	PUNCT
cana-666	44	1	with	with	SCONJ
cana-666	44	2	the	the	DET
cana-666	44	3	ids	ids	PROPN
cana-666	44	4	design	design	NOUN
cana-666	44	5	proposed	propose	VERB
cana-666	44	6	in	in	ADP
cana-666	44	7	[	[	X
cana-666	44	8	11	11	NUM
cana-666	44	9	]	]	PUNCT
cana-666	44	10	,	,	PUNCT
cana-666	44	11	a	a	DET
cana-666	44	12	methodological	methodological	ADJ
cana-666	44	13	approach	approach	NOUN
cana-666	44	14	to	to	ADP
cana-666	44	15	decision	decision	NOUN
cana-666	44	16	-	-	PUNCT
cana-666	44	17	making	make	VERB
cana-666	44	18	support	support	NOUN
cana-666	44	19	for	for	ADP
cana-666	44	20	algorithm	algorithm	NOUN
cana-666	44	21	selection	selection	NOUN
cana-666	44	22	is	be	AUX
cana-666	44	23	provided	provide	VERB
cana-666	44	24	.	.	PUNCT
cana-666	45	1	advanced	advanced	ADJ
cana-666	45	2	intrusion	intrusion	NOUN
cana-666	45	3	detection	detection	NOUN
cana-666	45	4	system	system	NOUN
cana-666	45	5	(	(	PUNCT
cana-666	45	6	ids	id	NOUN
cana-666	45	7	)	)	PUNCT
cana-666	45	8	developed	develop	VERB
cana-666	45	9	by	by	ADP
cana-666	45	10	utilizing	utilize	VERB
cana-666	45	11	a	a	DET
cana-666	45	12	deep	deep	ADJ
cana-666	45	13	learning	learning	NOUN
cana-666	45	14	approach	approach	NOUN
cana-666	45	15	[	[	X
cana-666	45	16	12	12	NUM
cana-666	45	17	]	]	PUNCT
cana-666	45	18	,	,	PUNCT
cana-666	45	19	which	which	PRON
cana-666	45	20	suggests	suggest	VERB
cana-666	45	21	a	a	DET
cana-666	45	22	combination	combination	NOUN
cana-666	45	23	of	of	ADP
cana-666	45	24	long	long	ADJ
cana-666	45	25	short	short	ADJ
cana-666	45	26	-	-	PUNCT
cana-666	45	27	term	term	NOUN
cana-666	45	28	memory	memory	NOUN
cana-666	45	29	network	network	NOUN
cana-666	45	30	(	(	PUNCT
cana-666	45	31	lstm	lstm	NOUN
cana-666	45	32	)	)	PUNCT
cana-666	45	33	and	and	CCONJ
cana-666	45	34	convolutional	convolutional	ADJ
cana-666	45	35	neural	neural	ADJ
cana-666	45	36	network	network	NOUN
cana-666	45	37	(	(	PUNCT
cana-666	45	38	cnn	cnn	PROPN
cana-666	45	39	)	)	PUNCT
cana-666	45	40	in	in	ADP
cana-666	45	41	a	a	DET
cana-666	45	42	hybrid	hybrid	ADJ
cana-666	45	43	network	network	NOUN
cana-666	45	44	.	.	PUNCT
cana-666	46	1	the	the	DET
cana-666	46	2	recurrent	recurrent	ADJ
cana-666	46	3	neural	neural	ADJ
cana-666	46	4	networks	network	NOUN
cana-666	46	5	and	and	CCONJ
cana-666	46	6	random	random	ADJ
cana-666	46	7	forests	forest	NOUN
cana-666	46	8	comprises	comprise	NOUN
cana-666	46	9	of	of	ADP
cana-666	46	10	two	two	NUM
cana-666	46	11	machine	machine	NOUN
cana-666	46	12	learning	learn	VERB
cana-666	46	13	classifiers	classifier	NOUN
cana-666	46	14	to	to	PART
cana-666	46	15	classify	classify	VERB
cana-666	46	16	the	the	DET
cana-666	46	17	ids	id	NOUN
cana-666	46	18	[	[	X
cana-666	46	19	13	13	NUM
cana-666	46	20	]	]	PUNCT
cana-666	46	21	.	.	PUNCT
cana-666	47	1	a	a	DET
cana-666	47	2	new	new	ADJ
cana-666	47	3	multi	multi	ADJ
cana-666	47	4	-	-	ADJ
cana-666	47	5	step	step	ADJ
cana-666	47	6	process	process	NOUN
cana-666	47	7	-	-	PUNCT
cana-666	47	8	based	base	VERB
cana-666	47	9	universal	universal	ADJ
cana-666	47	10	intrusion	intrusion	NOUN
cana-666	47	11	detection	detection	NOUN
cana-666	47	12	framework	framework	NOUN
cana-666	47	13	was	be	AUX
cana-666	47	14	suggested	suggest	VERB
cana-666	47	15	[	[	X
cana-666	47	16	14	14	NUM
cana-666	47	17	]	]	PUNCT
cana-666	47	18	.	.	PUNCT
cana-666	48	1	dl	dl	PROPN
cana-666	48	2	model	model	NOUN
cana-666	48	3	-	-	PUNCT
cana-666	48	4	based	base	VERB
cana-666	48	5	ids	id	NOUN
cana-666	48	6	developed	develop	VERB
cana-666	48	7	[	[	X
cana-666	48	8	15	15	NUM
cana-666	48	9	]	]	PUNCT
cana-666	48	10	that	that	PRON
cana-666	48	11	enhances	enhance	VERB
cana-666	48	12	intrusion	intrusion	NOUN
cana-666	48	13	detection	detection	NOUN
cana-666	48	14	system	system	NOUN
cana-666	48	15	which	which	PRON
cana-666	48	16	utilizes	utilize	VERB
cana-666	48	17	a	a	DET
cana-666	48	18	hybrid	hybrid	ADJ
cana-666	48	19	network	network	NOUN
cana-666	48	20	consisting	consist	VERB
cana-666	48	21	of	of	ADP
cana-666	48	22	lstm	lstm	PROPN
cana-666	48	23	and	and	CCONJ
cana-666	48	24	cnn	cnn	PROPN
cana-666	48	25	to	to	PART
cana-666	48	26	extract	extract	VERB
cana-666	48	27	both	both	DET
cana-666	48	28	temporal	temporal	ADJ
cana-666	48	29	and	and	CCONJ
cana-666	48	30	spatial	spatial	ADJ
cana-666	48	31	features	feature	NOUN
cana-666	48	32	from	from	ADP
cana-666	48	33	network	network	NOUN
cana-666	48	34	traffic	traffic	NOUN
cana-666	48	35	data	datum	NOUN
cana-666	48	36	.	.	PUNCT
cana-666	49	1	network	network	NOUN
cana-666	49	2	assaults	assault	NOUN
cana-666	49	3	have	have	AUX
cana-666	49	4	been	be	AUX
cana-666	49	5	classified	classify	VERB
cana-666	49	6	[	[	PUNCT
cana-666	49	7	16	16	NUM
cana-666	49	8	]	]	PUNCT
cana-666	49	9	using	use	VERB
cana-666	49	10	the	the	DET
cana-666	49	11	optimal	optimal	ADJ
cana-666	49	12	feature	feature	NOUN
cana-666	49	13	set	set	VERB
cana-666	49	14	and	and	CCONJ
cana-666	49	15	six	six	NUM
cana-666	49	16	popular	popular	ADJ
cana-666	49	17	classifiers	classifier	NOUN
cana-666	49	18	.	.	PUNCT
cana-666	50	1	an	an	DET
cana-666	50	2	intrusion	intrusion	NOUN
cana-666	50	3	detection	detection	NOUN
cana-666	50	4	system	system	NOUN
cana-666	50	5	(	(	PUNCT
cana-666	50	6	ids	id	NOUN
cana-666	50	7	)	)	PUNCT
cana-666	50	8	was	be	AUX
cana-666	50	9	introduced	introduce	VERB
cana-666	50	10	[	[	X
cana-666	50	11	17	17	NUM
cana-666	50	12	]	]	PUNCT
cana-666	50	13	that	that	PRON
cana-666	50	14	utilizes	utilize	VERB
cana-666	50	15	flow	flow	NOUN
cana-666	50	16	-	-	PUNCT
cana-666	50	17	based	base	VERB
cana-666	50	18	anomaly	anomaly	NOUN
cana-666	50	19	detection	detection	NOUN
cana-666	50	20	for	for	ADP
cana-666	50	21	multi	multi	ADJ
cana-666	50	22	-	-	ADJ
cana-666	50	23	class	class	ADJ
cana-666	50	24	categorization	categorization	NOUN
cana-666	50	25	and	and	CCONJ
cana-666	50	26	employs	employ	VERB
cana-666	50	27	dl	dl	PROPN
cana-666	50	28	based	base	VERB
cana-666	50	29	model	model	NOUN
cana-666	50	30	,	,	PUNCT
cana-666	50	31	namely	namely	ADV
cana-666	50	32	a	a	DET
cana-666	50	33	neural	neural	ADJ
cana-666	50	34	network	network	NOUN
cana-666	50	35	with	with	ADP
cana-666	50	36	many	many	ADJ
cana-666	50	37	stacked	stack	VERB
cana-666	50	38	fully	fully	ADV
cana-666	50	39	connected	connected	ADJ
cana-666	50	40	layers	layer	NOUN
cana-666	50	41	.	.	PUNCT
cana-666	51	1	discrete	discrete	VERB
cana-666	51	2	and	and	CCONJ
cana-666	51	3	non	non	ADJ
cana-666	51	4	-	-	ADJ
cana-666	51	5	discrete	discrete	ADJ
cana-666	51	6	versions	version	NOUN
cana-666	51	7	of	of	ADP
cana-666	51	8	classification	classification	NOUN
cana-666	51	9	and	and	CCONJ
cana-666	51	10	feature	feature	NOUN
cana-666	51	11	selection	selection	NOUN
cana-666	51	12	algorithms	algorithm	NOUN
cana-666	51	13	for	for	ADP
cana-666	51	14	network	network	NOUN
cana-666	51	15	intrusion	intrusion	NOUN
cana-666	51	16	and	and	CCONJ
cana-666	51	17	anomaly	anomaly	NOUN
cana-666	51	18	detection	detection	NOUN
cana-666	51	19	were	be	AUX
cana-666	51	20	investigated	investigate	VERB
cana-666	51	21	[	[	X
cana-666	51	22	18	18	NUM
cana-666	51	23	]	]	PUNCT
cana-666	51	24	.	.	PUNCT
cana-666	52	1	the	the	DET
cana-666	52	2	effectiveness	effectiveness	NOUN
cana-666	52	3	of	of	ADP
cana-666	52	4	deep	deep	ADJ
cana-666	52	5	learning	learning	NOUN
cana-666	52	6	systems	system	NOUN
cana-666	52	7	for	for	ADP
cana-666	52	8	detecting	detect	VERB
cana-666	52	9	intrusion	intrusion	NOUN
cana-666	52	10	was	be	AUX
cana-666	52	11	studied	study	VERB
cana-666	52	12	[	[	PUNCT
cana-666	52	13	19	19	NUM
cana-666	52	14	]	]	PUNCT
cana-666	52	15	.	.	PUNCT
cana-666	53	1	to	to	PART
cana-666	53	2	identify	identify	VERB
cana-666	53	3	modern	modern	ADJ
cana-666	53	4	intrusion	intrusion	NOUN
cana-666	53	5	assaults	assault	NOUN
cana-666	53	6	and	and	CCONJ
cana-666	53	7	protect	protect	VERB
cana-666	53	8	medical	medical	ADJ
cana-666	53	9	records	record	NOUN
cana-666	53	10	,	,	PUNCT
cana-666	53	11	a	a	DET
cana-666	53	12	deep	deep	ADJ
cana-666	53	13	learning	learning	NOUN
cana-666	53	14	-	-	PUNCT
cana-666	53	15	based	base	VERB
cana-666	53	16	hybrid	hybrid	ADJ
cana-666	53	17	architecture	architecture	NOUN
cana-666	53	18	called	call	VERB
cana-666	53	19	"	"	PUNCT
cana-666	53	20	immunenet	immunenet	NOUN
cana-666	53	21	"	"	PUNCT
cana-666	53	22	was	be	AUX
cana-666	53	23	presented	present	VERB
cana-666	53	24	[	[	X
cana-666	53	25	20	20	NUM
cana-666	53	26	]	]	PUNCT
cana-666	53	27	.	.	PUNCT
cana-666	54	1	the	the	DET
cana-666	54	2	cic	cic	PROPN
cana-666	54	3	ids-2017	ids-2017	NOUN
cana-666	54	4	dataset	dataset	PROPN
cana-666	54	5	was	be	AUX
cana-666	54	6	subjected	subject	VERB
cana-666	54	7	to	to	ADP
cana-666	54	8	preprocessing	preprocessing	NOUN
cana-666	54	9	,	,	PUNCT
cana-666	54	10	analysis	analysis	NOUN
cana-666	54	11	,	,	PUNCT
cana-666	54	12	and	and	CCONJ
cana-666	54	13	the	the	DET
cana-666	54	14	development	development	NOUN
cana-666	54	15	of	of	ADP
cana-666	54	16	a	a	DET
cana-666	54	17	predictive	predictive	ADJ
cana-666	54	18	model	model	NOUN
cana-666	54	19	in	in	ADP
cana-666	54	20	the	the	DET
cana-666	54	21	language	language	NOUN
cana-666	54	22	r	r	NOUN
cana-666	55	1	[	[	X
cana-666	55	2	21	21	NUM
cana-666	55	3	]	]	PUNCT
cana-666	55	4	.	.	PUNCT
cana-666	56	1	this	this	DET
cana-666	56	2	model	model	NOUN
cana-666	56	3	can	can	AUX
cana-666	56	4	determine	determine	VERB
cana-666	56	5	whether	whether	SCONJ
cana-666	56	6	or	or	CCONJ
cana-666	56	7	not	not	PART
cana-666	56	8	a	a	DET
cana-666	56	9	given	give	VERB
cana-666	56	10	network	network	NOUN
cana-666	56	11	connection	connection	NOUN
cana-666	56	12	is	be	AUX
cana-666	56	13	malicious	malicious	ADJ
cana-666	56	14	.	.	PUNCT
cana-666	56	15	to	to	PART
cana-666	56	16	find	find	VERB
cana-666	56	17	useful	useful	ADJ
cana-666	56	18	and	and	CCONJ
cana-666	56	19	efficient	efficient	ADJ
cana-666	56	20	ml	ml	NOUN
cana-666	56	21	-	-	PUNCT
cana-666	56	22	aids	aids	NOUN
cana-666	56	23	of	of	ADP
cana-666	56	24	computers	computer	NOUN
cana-666	56	25	and	and	CCONJ
cana-666	56	26	networks	network	NOUN
cana-666	56	27	,	,	PUNCT
cana-666	56	28	[	[	X
cana-666	56	29	22	22	NUM
cana-666	56	30	]	]	PUNCT
cana-666	56	31	makes	make	VERB
cana-666	56	32	use	use	NOUN
cana-666	56	33	of	of	ADP
cana-666	56	34	supervised	supervised	ADJ
cana-666	56	35	and	and	CCONJ
cana-666	56	36	unsupervised	unsupervised	ADJ
cana-666	56	37	ml	ml	NOUN
cana-666	56	38	methods	method	NOUN
cana-666	56	39	.	.	PUNCT
cana-666	57	1	communications	communication	NOUN
cana-666	57	2	on	on	ADP
cana-666	57	3	applied	apply	VERB
cana-666	57	4	nonlinear	nonlinear	ADJ
cana-666	57	5	analysis	analysis	NOUN
cana-666	57	6	issn	issn	NOUN
cana-666	57	7	:	:	PUNCT
cana-666	57	8	1074	1074	NUM
cana-666	57	9	-	-	PUNCT
cana-666	57	10	133x	133x	NUM
cana-666	57	11	vol	vol	NOUN
cana-666	57	12	31	31	NUM
cana-666	57	13	no	no	NOUN
cana-666	57	14	.	.	PUNCT
cana-666	58	1	2s	2s	NUM
cana-666	58	2	(	(	PUNCT
cana-666	58	3	2024	2024	NUM
cana-666	58	4	)	)	PUNCT
cana-666	58	5	548	548	NUM
cana-666	58	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	58	7	intrusion	intrusion	NOUN
cana-666	58	8	detection	detection	NOUN
cana-666	58	9	system	system	NOUN
cana-666	58	10	with	with	ADP
cana-666	58	11	improved	improved	ADJ
cana-666	58	12	anomaly	anomaly	NOUN
cana-666	58	13	detection	detection	NOUN
cana-666	58	14	extensive	extensive	ADJ
cana-666	58	15	information	information	NOUN
cana-666	58	16	dimensionality	dimensionality	NOUN
cana-666	58	17	reduction	reduction	NOUN
cana-666	58	18	model	model	NOUN
cana-666	58	19	(	(	PUNCT
cana-666	58	20	eidm	eidm	PROPN
cana-666	58	21	)	)	PUNCT
cana-666	58	22	was	be	AUX
cana-666	58	23	suggested	suggest	VERB
cana-666	58	24	by	by	ADP
cana-666	58	25	deep	deep	ADJ
cana-666	58	26	learning	learning	NOUN
cana-666	59	1	[	[	X
cana-666	59	2	23	23	NUM
cana-666	59	3	]	]	PUNCT
cana-666	59	4	.	.	PUNCT
cana-666	60	1	there	there	PRON
cana-666	60	2	is	be	VERB
cana-666	60	3	some	some	DET
cana-666	60	4	evidence	evidence	NOUN
cana-666	60	5	[	[	X
cana-666	60	6	24	24	NUM
cana-666	60	7	]	]	PUNCT
cana-666	60	8	that	that	PRON
cana-666	60	9	treebased	treebase	VERB
cana-666	60	10	ml	ml	PROPN
cana-666	60	11	approaches	approach	NOUN
cana-666	60	12	are	be	AUX
cana-666	60	13	useful	useful	ADJ
cana-666	60	14	in	in	ADP
cana-666	60	15	the	the	DET
cana-666	60	16	flow	flow	NOUN
cana-666	60	17	-	-	PUNCT
cana-666	60	18	based	base	VERB
cana-666	60	19	intrusion	intrusion	NOUN
cana-666	60	20	detection	detection	NOUN
cana-666	60	21	issue	issue	NOUN
cana-666	60	22	.	.	PUNCT
cana-666	61	1	nids	nid	NOUN
cana-666	61	2	using	use	VERB
cana-666	61	3	selected	select	VERB
cana-666	61	4	features	feature	NOUN
cana-666	61	5	with	with	ADP
cana-666	61	6	ml	ml	NOUN
cana-666	61	7	model	model	NOUN
cana-666	61	8	evaluation	evaluation	NOUN
cana-666	61	9	[	[	X
cana-666	61	10	25	25	NUM
cana-666	61	11	]	]	PUNCT
cana-666	61	12	.	.	PUNCT
cana-666	62	1	the	the	DET
cana-666	62	2	proximal	proximal	ADJ
cana-666	62	3	policy	policy	NOUN
cana-666	62	4	optimisation	optimisation	NOUN
cana-666	62	5	(	(	PUNCT
cana-666	62	6	ppo	ppo	PROPN
cana-666	62	7	)	)	PUNCT
cana-666	62	8	used	use	VERB
cana-666	62	9	[	[	PUNCT
cana-666	62	10	26	26	NUM
cana-666	62	11	]	]	X
cana-666	62	12	,	,	PUNCT
cana-666	62	13	an	an	DET
cana-666	62	14	effective	effective	ADJ
cana-666	62	15	hyperparameter	hyperparameter	NOUN
cana-666	62	16	control	control	NOUN
cana-666	62	17	approach	approach	NOUN
cana-666	62	18	for	for	ADP
cana-666	62	19	an	an	DET
cana-666	62	20	nids	nid	NOUN
cana-666	62	21	.	.	PUNCT
cana-666	63	1	sdn	sdn	PROPN
cana-666	63	2	-	-	PUNCT
cana-666	63	3	iot	iot	PROPN
cana-666	63	4	networks	network	NOUN
cana-666	63	5	are	be	AUX
cana-666	63	6	equipped	equip	VERB
cana-666	63	7	[	[	PUNCT
cana-666	63	8	27	27	NUM
cana-666	63	9	]	]	PUNCT
cana-666	63	10	with	with	ADP
cana-666	63	11	a	a	DET
cana-666	63	12	multi	multi	ADJ
cana-666	63	13	-	-	ADJ
cana-666	63	14	attack	attack	ADJ
cana-666	63	15	intrusion	intrusion	NOUN
cana-666	63	16	detection	detection	NOUN
cana-666	63	17	system	system	NOUN
cana-666	63	18	(	(	PUNCT
cana-666	63	19	maids	maids	PROPN
cana-666	63	20	)	)	PUNCT
cana-666	63	21	.	.	PUNCT
cana-666	64	1	data	datum	NOUN
cana-666	64	2	sets	set	NOUN
cana-666	64	3	are	be	AUX
cana-666	64	4	replicas	replica	NOUN
cana-666	64	5	of	of	ADP
cana-666	64	6	known	know	VERB
cana-666	64	7	network	network	NOUN
cana-666	64	8	-	-	PUNCT
cana-666	64	9	based	base	VERB
cana-666	64	10	attacks	attack	NOUN
cana-666	64	11	used	use	VERB
cana-666	64	12	in	in	ADP
cana-666	64	13	intrusion	intrusion	NOUN
cana-666	64	14	detection	detection	NOUN
cana-666	64	15	systems	system	NOUN
cana-666	64	16	.	.	PUNCT
cana-666	65	1	to	to	PART
cana-666	65	2	enhance	enhance	VERB
cana-666	65	3	the	the	DET
cana-666	65	4	usefulness	usefulness	NOUN
cana-666	65	5	of	of	ADP
cana-666	65	6	real	real	ADJ
cana-666	65	7	-	-	PUNCT
cana-666	65	8	time	time	NOUN
cana-666	65	9	applications	application	NOUN
cana-666	65	10	,	,	PUNCT
cana-666	65	11	it	it	PRON
cana-666	65	12	is	be	AUX
cana-666	65	13	crucial	crucial	ADJ
cana-666	65	14	to	to	PART
cana-666	65	15	use	use	VERB
cana-666	65	16	datasets	dataset	NOUN
cana-666	65	17	that	that	PRON
cana-666	65	18	accurately	accurately	ADV
cana-666	65	19	represent	represent	VERB
cana-666	65	20	contemporary	contemporary	ADJ
cana-666	65	21	assault	assault	NOUN
cana-666	65	22	scenarios	scenario	NOUN
cana-666	65	23	.	.	PUNCT
cana-666	66	1	consequently	consequently	ADV
cana-666	66	2	,	,	PUNCT
cana-666	66	3	the	the	DET
cana-666	66	4	proposed	propose	VERB
cana-666	66	5	experiments	experiment	NOUN
cana-666	66	6	are	be	AUX
cana-666	66	7	utilizing	utilize	VERB
cana-666	66	8	the	the	DET
cana-666	66	9	standard	standard	ADJ
cana-666	66	10	benchmark	benchmark	NOUN
cana-666	66	11	dataset	dataset	NOUN
cana-666	66	12	available	available	ADJ
cana-666	66	13	cicids2017	cicids2017	NOUN
cana-666	66	14	.	.	PUNCT
cana-666	67	1	the	the	DET
cana-666	67	2	aggregate	aggregate	ADJ
cana-666	67	3	quantity	quantity	NOUN
cana-666	67	4	of	of	ADP
cana-666	67	5	traffic	traffic	NOUN
cana-666	67	6	records	record	NOUN
cana-666	67	7	in	in	ADP
cana-666	67	8	cicids2017	cicids2017	NOUN
cana-666	67	9	amounts	amount	NOUN
cana-666	67	10	to	to	ADP
cana-666	67	11	2.8	2.8	NUM
cana-666	67	12	million	million	NUM
cana-666	67	13	.	.	PUNCT
cana-666	68	1	hence	hence	ADV
cana-666	68	2	,	,	PUNCT
cana-666	68	3	the	the	DET
cana-666	68	4	aim	aim	NOUN
cana-666	68	5	of	of	ADP
cana-666	68	6	this	this	DET
cana-666	68	7	paper	paper	NOUN
cana-666	68	8	was	be	AUX
cana-666	68	9	to	to	PART
cana-666	68	10	assess	assess	VERB
cana-666	68	11	the	the	DET
cana-666	68	12	effectiveness	effectiveness	NOUN
cana-666	68	13	of	of	ADP
cana-666	68	14	different	different	ADJ
cana-666	68	15	intelligence	intelligence	NOUN
cana-666	68	16	learning	learn	VERB
cana-666	68	17	techniques	technique	NOUN
cana-666	68	18	for	for	ADP
cana-666	68	19	the	the	DET
cana-666	68	20	goal	goal	NOUN
cana-666	68	21	of	of	ADP
cana-666	68	22	categorizing	categorize	VERB
cana-666	68	23	intrusions	intrusion	NOUN
cana-666	68	24	.	.	PUNCT
cana-666	69	1	the	the	DET
cana-666	69	2	primary	primary	ADJ
cana-666	69	3	contributions	contribution	NOUN
cana-666	69	4	of	of	ADP
cana-666	69	5	this	this	DET
cana-666	69	6	proposed	propose	VERB
cana-666	69	7	research	research	NOUN
cana-666	69	8	paper	paper	NOUN
cana-666	69	9	are	be	AUX
cana-666	69	10	as	as	SCONJ
cana-666	69	11	follows	follow	VERB
cana-666	69	12	:	:	PUNCT
cana-666	69	13	•	•	NUM
cana-666	69	14	developed	develop	VERB
cana-666	69	15	a	a	DET
cana-666	69	16	multiclass	multiclass	ADJ
cana-666	69	17	intrusion	intrusion	NOUN
cana-666	69	18	classification	classification	NOUN
cana-666	69	19	system	system	NOUN
cana-666	69	20	specifically	specifically	ADV
cana-666	69	21	designed	design	VERB
cana-666	69	22	to	to	PART
cana-666	69	23	categorize	categorize	VERB
cana-666	69	24	various	various	ADJ
cana-666	69	25	forms	form	NOUN
cana-666	69	26	of	of	ADP
cana-666	69	27	network	network	NOUN
cana-666	69	28	traffic	traffic	NOUN
cana-666	69	29	using	use	VERB
cana-666	69	30	the	the	DET
cana-666	69	31	cicids	cicid	NOUN
cana-666	69	32	2017	2017	NUM
cana-666	69	33	dataset	dataset	NOUN
cana-666	69	34	.	.	PUNCT
cana-666	70	1	•	•	NUM
cana-666	70	2	examined	examine	VERB
cana-666	70	3	the	the	DET
cana-666	70	4	influence	influence	NOUN
cana-666	70	5	of	of	ADP
cana-666	70	6	optimizing	optimize	VERB
cana-666	70	7	classifier	classifier	NOUN
cana-666	70	8	parameters	parameter	NOUN
cana-666	70	9	on	on	ADP
cana-666	70	10	both	both	DET
cana-666	70	11	feature	feature	NOUN
cana-666	70	12	selection	selection	NOUN
cana-666	70	13	and	and	CCONJ
cana-666	70	14	classification	classification	NOUN
cana-666	70	15	.	.	PUNCT
cana-666	71	1	•	•	NUM
cana-666	71	2	evaluated	evaluate	VERB
cana-666	71	3	the	the	DET
cana-666	71	4	proposed	propose	VERB
cana-666	71	5	model	model	NOUN
cana-666	71	6	based	base	VERB
cana-666	71	7	on	on	ADP
cana-666	71	8	classification	classification	NOUN
cana-666	71	9	performance	performance	NOUN
cana-666	71	10	parameters	parameter	NOUN
cana-666	71	11	accuracy	accuracy	NOUN
cana-666	71	12	and	and	CCONJ
cana-666	71	13	training	training	NOUN
cana-666	71	14	time	time	NOUN
cana-666	71	15	.	.	PUNCT
cana-666	72	1	•	•	NUM
cana-666	72	2	conducted	conduct	VERB
cana-666	72	3	a	a	DET
cana-666	72	4	performance	performance	NOUN
cana-666	72	5	comparison	comparison	NOUN
cana-666	72	6	between	between	ADP
cana-666	72	7	the	the	DET
cana-666	72	8	proposed	propose	VERB
cana-666	72	9	intrusion	intrusion	NOUN
cana-666	72	10	detection	detection	NOUN
cana-666	72	11	system	system	NOUN
cana-666	72	12	(	(	PUNCT
cana-666	72	13	ids	id	NOUN
cana-666	72	14	)	)	PUNCT
cana-666	72	15	utilizing	utilize	VERB
cana-666	72	16	dl	dl	PROPN
cana-666	72	17	and	and	CCONJ
cana-666	72	18	ml	ml	NOUN
cana-666	72	19	models	model	NOUN
cana-666	72	20	.	.	PUNCT
cana-666	73	1	the	the	DET
cana-666	73	2	following	follow	VERB
cana-666	73	3	sections	section	NOUN
cana-666	73	4	of	of	ADP
cana-666	73	5	this	this	DET
cana-666	73	6	work	work	NOUN
cana-666	73	7	are	be	AUX
cana-666	73	8	structured	structure	VERB
cana-666	73	9	in	in	ADP
cana-666	73	10	the	the	DET
cana-666	73	11	following	following	ADJ
cana-666	73	12	manner	manner	NOUN
cana-666	73	13	.	.	PUNCT
cana-666	74	1	section	section	NOUN
cana-666	74	2	2	2	NUM
cana-666	74	3	provides	provide	VERB
cana-666	74	4	a	a	DET
cana-666	74	5	detailed	detailed	ADJ
cana-666	74	6	explanation	explanation	NOUN
cana-666	74	7	of	of	ADP
cana-666	74	8	the	the	DET
cana-666	74	9	materials	material	NOUN
cana-666	74	10	and	and	CCONJ
cana-666	74	11	procedures	procedure	NOUN
cana-666	74	12	employed	employ	VERB
cana-666	74	13	in	in	ADP
cana-666	74	14	this	this	DET
cana-666	74	15	paper	paper	NOUN
cana-666	74	16	.	.	PUNCT
cana-666	75	1	section	section	NOUN
cana-666	75	2	3	3	NUM
cana-666	75	3	presents	present	VERB
cana-666	75	4	comprehensive	comprehensive	ADJ
cana-666	75	5	information	information	NOUN
cana-666	75	6	on	on	ADP
cana-666	75	7	the	the	DET
cana-666	75	8	experimental	experimental	ADJ
cana-666	75	9	configuration	configuration	NOUN
cana-666	75	10	and	and	CCONJ
cana-666	75	11	analyzes	analyze	VERB
cana-666	75	12	the	the	DET
cana-666	75	13	obtained	obtain	VERB
cana-666	75	14	experimental	experimental	ADJ
cana-666	75	15	outcomes	outcome	NOUN
cana-666	75	16	.	.	PUNCT
cana-666	76	1	the	the	DET
cana-666	76	2	conclusion	conclusion	NOUN
cana-666	76	3	of	of	ADP
cana-666	76	4	this	this	DET
cana-666	76	5	research	research	NOUN
cana-666	76	6	is	be	AUX
cana-666	76	7	presented	present	VERB
cana-666	76	8	in	in	ADP
cana-666	76	9	the	the	DET
cana-666	76	10	final	final	ADJ
cana-666	76	11	section	section	NOUN
cana-666	76	12	.	.	PUNCT
cana-666	77	1	2	2	X
cana-666	77	2	.	.	X
cana-666	77	3	materials	material	NOUN
cana-666	77	4	and	and	CCONJ
cana-666	77	5	methods	method	NOUN
cana-666	77	6	this	this	DET
cana-666	77	7	section	section	NOUN
cana-666	77	8	explores	explore	VERB
cana-666	77	9	several	several	ADJ
cana-666	77	10	design	design	NOUN
cana-666	77	11	components	component	NOUN
cana-666	77	12	of	of	ADP
cana-666	77	13	the	the	DET
cana-666	77	14	proposed	propose	VERB
cana-666	77	15	multiclass	multiclass	ADJ
cana-666	77	16	intrusion	intrusion	NOUN
cana-666	77	17	detection	detection	NOUN
cana-666	77	18	system	system	NOUN
cana-666	77	19	(	(	PUNCT
cana-666	77	20	ids	id	NOUN
cana-666	77	21	)	)	PUNCT
cana-666	77	22	paradigm	paradigm	NOUN
cana-666	77	23	.	.	PUNCT
cana-666	78	1	figure	figure	NOUN
cana-666	78	2	1	1	NUM
cana-666	78	3	illustrates	illustrate	VERB
cana-666	78	4	the	the	DET
cana-666	78	5	classification	classification	NOUN
cana-666	78	6	-	-	PUNCT
cana-666	78	7	based	base	VERB
cana-666	78	8	framework	framework	NOUN
cana-666	78	9	that	that	PRON
cana-666	78	10	is	be	AUX
cana-666	78	11	being	be	AUX
cana-666	78	12	presented	present	VERB
cana-666	78	13	.	.	PUNCT
cana-666	79	1	the	the	DET
cana-666	79	2	system	system	NOUN
cana-666	79	3	goes	go	VERB
cana-666	79	4	through	through	ADP
cana-666	79	5	several	several	ADJ
cana-666	79	6	stages	stage	NOUN
cana-666	79	7	in	in	ADP
cana-666	79	8	the	the	DET
cana-666	79	9	pipeline	pipeline	NOUN
cana-666	79	10	,	,	PUNCT
cana-666	79	11	namely	namely	ADV
cana-666	79	12	;	;	PUNCT
cana-666	79	13	data	datum	NOUN
cana-666	79	14	acquisition	acquisition	NOUN
cana-666	79	15	,	,	PUNCT
cana-666	79	16	data	datum	NOUN
cana-666	79	17	pre	pre	ADJ
cana-666	79	18	-	-	ADJ
cana-666	79	19	processing	processing	ADJ
cana-666	79	20	,	,	PUNCT
cana-666	79	21	feature	feature	NOUN
cana-666	79	22	selection	selection	NOUN
cana-666	79	23	/	/	SYM
cana-666	79	24	optimization	optimization	NOUN
cana-666	79	25	,	,	PUNCT
cana-666	79	26	modelling	modelling	NOUN
cana-666	79	27	and	and	CCONJ
cana-666	79	28	classification	classification	NOUN
cana-666	79	29	using	use	VERB
cana-666	79	30	dl	dl	PROPN
cana-666	79	31	/	/	SYM
cana-666	79	32	ml	ml	NOUN
cana-666	79	33	models	model	NOUN
cana-666	79	34	and	and	CCONJ
cana-666	79	35	model	model	NOUN
cana-666	79	36	tuning	tuning	NOUN
cana-666	79	37	and	and	CCONJ
cana-666	79	38	evaluation	evaluation	NOUN
cana-666	79	39	.	.	PUNCT
cana-666	80	1	communications	communication	NOUN
cana-666	80	2	on	on	ADP
cana-666	80	3	applied	apply	VERB
cana-666	80	4	nonlinear	nonlinear	ADJ
cana-666	80	5	analysis	analysis	NOUN
cana-666	80	6	issn	issn	NOUN
cana-666	80	7	:	:	PUNCT
cana-666	80	8	1074	1074	NUM
cana-666	80	9	-	-	PUNCT
cana-666	80	10	133x	133x	NUM
cana-666	80	11	vol	vol	NOUN
cana-666	80	12	31	31	NUM
cana-666	80	13	no	no	NOUN
cana-666	80	14	.	.	PUNCT
cana-666	81	1	2s	2s	NUM
cana-666	81	2	(	(	PUNCT
cana-666	81	3	2024	2024	NUM
cana-666	81	4	)	)	PUNCT
cana-666	81	5	549	549	NUM
cana-666	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	81	7	figure	figure	NOUN
cana-666	81	8	1	1	NUM
cana-666	81	9	:	:	PUNCT
cana-666	81	10	proposed	propose	VERB
cana-666	81	11	multiclass	multiclass	ADJ
cana-666	81	12	intrusion	intrusion	NOUN
cana-666	81	13	classification	classification	NOUN
cana-666	81	14	system	system	NOUN
cana-666	81	15	using	use	VERB
cana-666	81	16	dl	dl	PROPN
cana-666	81	17	/	/	SYM
cana-666	81	18	ml	ml	PROPN
cana-666	81	19	algorithms	algorithms	PROPN
cana-666	81	20	a.	a.	PROPN
cana-666	81	21	data	data	PROPN
cana-666	81	22	acquisition	acquisition	NOUN
cana-666	81	23	–	–	PUNCT
cana-666	81	24	cicids2017	cicids2017	NUM
cana-666	81	25	dataset	dataset	NOUN
cana-666	81	26	in	in	ADP
cana-666	81	27	this	this	DET
cana-666	81	28	work	work	NOUN
cana-666	81	29	,	,	PUNCT
cana-666	81	30	the	the	DET
cana-666	81	31	canadian	canadian	PROPN
cana-666	81	32	institute	institute	PROPN
cana-666	81	33	for	for	ADP
cana-666	81	34	cybersecurity	cybersecurity	NOUN
cana-666	81	35	(	(	PUNCT
cana-666	81	36	cic	cic	PROPN
cana-666	81	37	)	)	PUNCT
cana-666	81	38	and	and	CCONJ
cana-666	81	39	the	the	DET
cana-666	81	40	university	university	NOUN
cana-666	81	41	of	of	ADP
cana-666	81	42	new	new	PROPN
cana-666	81	43	brunswick	brunswick	PROPN
cana-666	81	44	(	(	PUNCT
cana-666	81	45	unb	unb	PROPN
cana-666	81	46	)	)	PUNCT
cana-666	81	47	collaborated	collaborate	VERB
cana-666	81	48	to	to	PART
cana-666	81	49	create	create	VERB
cana-666	81	50	a	a	DET
cana-666	81	51	public	public	ADJ
cana-666	81	52	intrusion	intrusion	NOUN
cana-666	81	53	detection	detection	NOUN
cana-666	81	54	dataset	dataset	VERB
cana-666	81	55	known	know	VERB
cana-666	81	56	as	as	ADP
cana-666	81	57	cicids2017	cicids2017	PROPN
cana-666	81	58	[	[	X
cana-666	81	59	9	9	NUM
cana-666	81	60	]	]	PUNCT
cana-666	81	61	.	.	PUNCT
cana-666	82	1	the	the	DET
cana-666	82	2	cicids2017	cicids2017	PROPN
cana-666	82	3	dataset	dataset	NOUN
cana-666	82	4	encompasses	encompass	VERB
cana-666	82	5	state	state	NOUN
cana-666	82	6	-	-	PUNCT
cana-666	82	7	of	of	ADP
cana-666	82	8	-	-	PUNCT
cana-666	82	9	the	the	DET
cana-666	82	10	-	-	PUNCT
cana-666	82	11	art	art	NOUN
cana-666	82	12	network	network	NOUN
cana-666	82	13	attack	attack	NOUN
cana-666	82	14	scenarios	scenario	NOUN
cana-666	82	15	and	and	CCONJ
cana-666	82	16	fulfills	fulfill	VERB
cana-666	82	17	all	all	DET
cana-666	82	18	the	the	DET
cana-666	82	19	criteria	criterion	NOUN
cana-666	82	20	of	of	ADP
cana-666	82	21	real	real	ADJ
cana-666	82	22	assaults	assault	NOUN
cana-666	82	23	.	.	PUNCT
cana-666	83	1	the	the	DET
cana-666	83	2	data	datum	NOUN
cana-666	83	3	was	be	AUX
cana-666	83	4	collected	collect	VERB
cana-666	83	5	over	over	ADP
cana-666	83	6	the	the	DET
cana-666	83	7	course	course	NOUN
cana-666	83	8	of	of	ADP
cana-666	83	9	five	five	NUM
cana-666	83	10	days	day	NOUN
cana-666	83	11	and	and	CCONJ
cana-666	83	12	is	be	AUX
cana-666	83	13	split	split	VERB
cana-666	83	14	into	into	ADP
cana-666	83	15	eight	eight	NUM
cana-666	83	16	files	file	NOUN
cana-666	83	17	,	,	PUNCT
cana-666	83	18	one	one	NUM
cana-666	83	19	each	each	DET
cana-666	83	20	for	for	ADP
cana-666	83	21	regular	regular	ADJ
cana-666	83	22	and	and	CCONJ
cana-666	83	23	aberrant	aberrant	ADJ
cana-666	83	24	network	network	NOUN
cana-666	83	25	activity	activity	NOUN
cana-666	83	26	and	and	CCONJ
cana-666	83	27	for	for	ADP
cana-666	83	28	various	various	ADJ
cana-666	83	29	sorts	sort	NOUN
cana-666	83	30	of	of	ADP
cana-666	83	31	assaults	assault	NOUN
cana-666	83	32	.	.	PUNCT
cana-666	84	1	as	as	SCONJ
cana-666	84	2	can	can	AUX
cana-666	84	3	be	be	AUX
cana-666	84	4	seen	see	VERB
cana-666	84	5	in	in	ADP
cana-666	84	6	table	table	NOUN
cana-666	84	7	i	i	PRON
cana-666	84	8	,	,	PUNCT
cana-666	84	9	a	a	DET
cana-666	84	10	new	new	ADJ
cana-666	84	11	kind	kind	NOUN
cana-666	84	12	of	of	ADP
cana-666	84	13	attacks	attack	NOUN
cana-666	84	14	was	be	AUX
cana-666	84	15	used	use	VERB
cana-666	84	16	every	every	DET
cana-666	84	17	day	day	NOUN
cana-666	84	18	.	.	PUNCT
cana-666	85	1	the	the	DET
cana-666	85	2	cicflowmeter	cicflowmeter	PROPN
cana-666	85	3	program	program	NOUN
cana-666	85	4	was	be	AUX
cana-666	85	5	used	use	VERB
cana-666	85	6	to	to	PART
cana-666	85	7	extract	extract	VERB
cana-666	85	8	83	83	NUM
cana-666	85	9	characteristics	characteristic	NOUN
cana-666	85	10	from	from	ADP
cana-666	85	11	the	the	DET
cana-666	85	12	network	network	NOUN
cana-666	85	13	traffic	traffic	NOUN
cana-666	85	14	,	,	PUNCT
cana-666	85	15	one	one	NUM
cana-666	85	16	for	for	ADP
cana-666	85	17	each	each	DET
cana-666	85	18	row	row	NOUN
cana-666	85	19	in	in	ADP
cana-666	85	20	the	the	DET
cana-666	85	21	dataset	dataset	NOUN
cana-666	85	22	.	.	PUNCT
cana-666	86	1	the	the	DET
cana-666	86	2	cicflowmeter	cicflowmeter	NOUN
cana-666	86	3	includes	include	VERB
cana-666	86	4	both	both	CCONJ
cana-666	86	5	forward	forward	ADJ
cana-666	86	6	and	and	CCONJ
cana-666	86	7	backward	backward	ADJ
cana-666	86	8	data	datum	NOUN
cana-666	86	9	for	for	ADP
cana-666	86	10	the	the	DET
cana-666	86	11	83	83	NUM
cana-666	86	12	statistical	statistical	ADJ
cana-666	86	13	features	feature	NOUN
cana-666	86	14	.	.	PUNCT
cana-666	87	1	this	this	PRON
cana-666	87	2	is	be	AUX
cana-666	87	3	because	because	SCONJ
cana-666	87	4	it	it	PRON
cana-666	87	5	creates	create	VERB
cana-666	87	6	bidirectional	bidirectional	ADJ
cana-666	87	7	flows	flow	NOUN
cana-666	87	8	(	(	PUNCT
cana-666	87	9	biflow	biflow	PROPN
cana-666	87	10	)	)	PUNCT
cana-666	87	11	,	,	PUNCT
cana-666	87	12	where	where	SCONJ
cana-666	87	13	the	the	DET
cana-666	87	14	direction	direction	NOUN
cana-666	87	15	of	of	ADP
cana-666	87	16	travel	travel	NOUN
cana-666	87	17	is	be	AUX
cana-666	87	18	determined	determine	VERB
cana-666	87	19	by	by	ADP
cana-666	87	20	the	the	DET
cana-666	87	21	first	first	ADJ
cana-666	87	22	packet	packet	NOUN
cana-666	87	23	.	.	PUNCT
cana-666	88	1	a	a	DET
cana-666	88	2	portion	portion	NOUN
cana-666	88	3	of	of	ADP
cana-666	88	4	the	the	DET
cana-666	88	5	initial	initial	ADJ
cana-666	88	6	83	83	NUM
cana-666	88	7	attributes	attribute	NOUN
cana-666	88	8	utilized	utilize	VERB
cana-666	88	9	,	,	PUNCT
cana-666	88	10	removing	remove	VERB
cana-666	88	11	attributes	attribute	NOUN
cana-666	88	12	such	such	ADJ
cana-666	88	13	as	as	ADP
cana-666	88	14	source	source	NOUN
cana-666	88	15	and	and	CCONJ
cana-666	88	16	destination	destination	NOUN
cana-666	88	17	ips	ip	NOUN
cana-666	88	18	,	,	PUNCT
cana-666	88	19	biflow	biflow	VERB
cana-666	88	20	i	i	PROPN
cana-666	88	21	d	d	PROPN
cana-666	88	22	,	,	PUNCT
cana-666	88	23	and	and	CCONJ
cana-666	88	24	date	date	NOUN
cana-666	88	25	.	.	PUNCT
cana-666	89	1	this	this	PRON
cana-666	89	2	resulted	result	VERB
cana-666	89	3	in	in	ADP
cana-666	89	4	a	a	DET
cana-666	89	5	dataset	dataset	NOUN
cana-666	89	6	consisting	consist	VERB
cana-666	89	7	of	of	ADP
cana-666	89	8	79	79	NUM
cana-666	89	9	attributes	attribute	NOUN
cana-666	89	10	,	,	PUNCT
cana-666	89	11	with	with	ADP
cana-666	89	12	the	the	DET
cana-666	89	13	79th	79th	ADJ
cana-666	89	14	attribute	attribute	NOUN
cana-666	89	15	serving	serve	VERB
cana-666	89	16	as	as	ADP
cana-666	89	17	the	the	DET
cana-666	89	18	label	label	NOUN
cana-666	89	19	identifying	identify	VERB
cana-666	89	20	the	the	DET
cana-666	89	21	type	type	NOUN
cana-666	89	22	of	of	ADP
cana-666	89	23	traffic	traffic	NOUN
cana-666	89	24	shown	show	VERB
cana-666	89	25	in	in	ADP
cana-666	89	26	the	the	DET
cana-666	89	27	current	current	ADJ
cana-666	89	28	biflow	biflow	NOUN
cana-666	89	29	.	.	PUNCT
cana-666	90	1	table	table	NOUN
cana-666	90	2	1	1	NUM
cana-666	90	3	:	:	PUNCT
cana-666	90	4	network	network	NOUN
cana-666	90	5	traffic	traffic	NOUN
cana-666	90	6	data	datum	NOUN
cana-666	90	7	of	of	ADP
cana-666	90	8	cicids2017	cicids2017	NOUN
cana-666	90	9	dataset	dataset	VERB
cana-666	90	10	day	day	NOUN
cana-666	90	11	activity	activity	NOUN
cana-666	90	12	file	file	NOUN
cana-666	90	13	name	name	NOUN
cana-666	90	14	output	output	NOUN
cana-666	90	15	classes	class	NOUN
cana-666	90	16	monday	monday	PROPN
cana-666	90	17	monday-workinghours.pcap	monday-workinghours.pcap	NOUN
cana-666	90	18	iscx.csv	iscx.csv	PRON
cana-666	90	19	benign	benign	ADJ
cana-666	90	20	(	(	PUNCT
cana-666	90	21	normal	normal	ADJ
cana-666	90	22	activities	activity	NOUN
cana-666	90	23	)	)	PUNCT
cana-666	90	24	tuesday	tuesday	PROPN
cana-666	91	1	tuesday-workinghours.pcap	tuesday-workinghours.pcap	NOUN
cana-666	91	2	iscx.csv	iscx.csv	PRON
cana-666	91	3	benign	benign	ADJ
cana-666	91	4	and	and	CCONJ
cana-666	91	5	bruteforce	bruteforce	NOUN
cana-666	91	6	,	,	PUNCT
cana-666	91	7	sshpatator	sshpatator	NOUN
cana-666	91	8	,	,	PUNCT
cana-666	91	9	ftp	ftp	PROPN
cana-666	91	10	-	-	NOUN
cana-666	91	11	patator	patator	NOUN
cana-666	91	12	wednesday	wednesday	PROPN
cana-666	91	13	wednesday-workinghours.pcap	wednesday-workinghours.pcap	PROPN
cana-666	91	14	iscx.csv	iscx.csv	X
cana-666	91	15	benign	benign	ADJ
cana-666	91	16	and	and	CCONJ
cana-666	91	17	doshulk	doshulk	NOUN
cana-666	91	18	,	,	PUNCT
cana-666	91	19	dos	do	NOUN
cana-666	91	20	/	/	SYM
cana-666	91	21	ddos	ddos	NOUN
cana-666	91	22	,	,	PUNCT
cana-666	91	23	dosslowhttptest	dosslowhttpt	ADJ
cana-666	91	24	,	,	PUNCT
cana-666	91	25	dosslowloris	dosslowloris	PROPN
cana-666	91	26	,	,	PUNCT
cana-666	91	27	heartbleed	heartbleed	VERB
cana-666	91	28	,	,	PUNCT
cana-666	91	29	dosgolden	dosgolden	ADJ
cana-666	91	30	eye	eye	NOUN
cana-666	91	31	communications	communication	NOUN
cana-666	91	32	on	on	ADP
cana-666	91	33	applied	apply	VERB
cana-666	91	34	nonlinear	nonlinear	ADJ
cana-666	91	35	analysis	analysis	NOUN
cana-666	91	36	issn	issn	NOUN
cana-666	91	37	:	:	PUNCT
cana-666	91	38	1074	1074	NUM
cana-666	91	39	-	-	PUNCT
cana-666	91	40	133x	133x	NUM
cana-666	91	41	vol	vol	NOUN
cana-666	91	42	31	31	NUM
cana-666	91	43	no	no	NOUN
cana-666	91	44	.	.	PUNCT
cana-666	92	1	2s	2s	NUM
cana-666	92	2	(	(	PUNCT
cana-666	92	3	2024	2024	NUM
cana-666	92	4	)	)	PUNCT
cana-666	92	5	550	550	NUM
cana-666	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	92	7	thrusday	thrusday	PROPN
cana-666	92	8	thursday-workinghoursafternoon-infilteration.pcap	thursday-workinghoursafternoon-infilteration.pcap	VERB
cana-666	92	9	iscx.csv	iscx.csv	NOUN
cana-666	92	10	benign	benign	ADJ
cana-666	92	11	and	and	CCONJ
cana-666	92	12	metaexploit	metaexploit	NOUN
cana-666	92	13	,	,	PUNCT
cana-666	92	14	infiltration	infiltration	NOUN
cana-666	92	15	thursday-workinghours-morningwebattacks.pcap	thursday-workinghours-morningwebattacks.pcap	PROPN
cana-666	92	16	iscx.csv	iscx.csv	X
cana-666	92	17	benign	benign	ADJ
cana-666	92	18	and	and	CCONJ
cana-666	92	19	webattack	webattack	NOUN
cana-666	92	20	-	-	PUNCT
cana-666	92	21	xss	xss	NOUN
cana-666	92	22	,	,	PUNCT
cana-666	92	23	webattack	webattack	NOUN
cana-666	92	24	-	-	PUNCT
cana-666	92	25	sql	sql	NOUN
cana-666	92	26	,	,	PUNCT
cana-666	92	27	webattackbruteforce	webattackbruteforce	NOUN
cana-666	92	28	friday	friday	PROPN
cana-666	92	29	friday-workinghoursmorning.pcap	friday-workinghoursmorning.pcap	NOUN
cana-666	92	30	iscx.csv	iscx.csv	X
cana-666	92	31	benign	benign	ADJ
cana-666	92	32	and	and	CCONJ
cana-666	92	33	botnet	botnet	NOUN
cana-666	92	34	friday-workinghours-afternoonddos.pcap	friday-workinghours-afternoonddos.pcap	PROPN
cana-666	92	35	iscx.csv	iscx.csv	PRON
cana-666	92	36	benign	benign	ADJ
cana-666	92	37	and	and	CCONJ
cana-666	92	38	ddos	ddo	NOUN
cana-666	92	39	friday-workinghours-afternoonportscan.pcap	friday-workinghours-afternoonportscan.pcap	PROPN
cana-666	92	40	iscx.csv	iscx.csv	NOUN
cana-666	92	41	benign	benign	ADJ
cana-666	92	42	and	and	CCONJ
cana-666	92	43	portscan	portscan	PROPN
cana-666	92	44	b.	b.	PROPN
cana-666	92	45	data	data	PROPN
cana-666	92	46	pre	pre	VERB
cana-666	92	47	-	-	VERB
cana-666	92	48	processing	process	VERB
cana-666	92	49	our	our	PRON
cana-666	92	50	studies	study	NOUN
cana-666	92	51	involve	involve	VERB
cana-666	92	52	preprocessing	preprocesse	VERB
cana-666	92	53	the	the	DET
cana-666	92	54	data	datum	NOUN
cana-666	92	55	,	,	PUNCT
cana-666	92	56	applying	apply	VERB
cana-666	92	57	a	a	DET
cana-666	92	58	data	datum	NOUN
cana-666	92	59	cleaning	clean	VERB
cana-666	92	60	transformation	transformation	NOUN
cana-666	92	61	,	,	PUNCT
cana-666	92	62	scaling	scale	VERB
cana-666	92	63	the	the	DET
cana-666	92	64	data	datum	NOUN
cana-666	92	65	,	,	PUNCT
cana-666	92	66	and	and	CCONJ
cana-666	92	67	encoding	encode	VERB
cana-666	92	68	the	the	DET
cana-666	92	69	labels	label	NOUN
cana-666	92	70	.	.	PUNCT
cana-666	93	1	all	all	DET
cana-666	93	2	the	the	DET
cana-666	93	3	csv	csv	NOUN
cana-666	93	4	files	file	NOUN
cana-666	93	5	'	'	PART
cana-666	93	6	contents	content	NOUN
cana-666	93	7	were	be	AUX
cana-666	93	8	first	first	ADV
cana-666	93	9	loaded	load	VERB
cana-666	93	10	into	into	ADP
cana-666	93	11	data	datum	NOUN
cana-666	93	12	frames	frame	NOUN
cana-666	93	13	,	,	PUNCT
cana-666	93	14	and	and	CCONJ
cana-666	93	15	then	then	ADV
cana-666	93	16	the	the	DET
cana-666	93	17	frames	frame	NOUN
cana-666	93	18	were	be	AUX
cana-666	93	19	combined	combine	VERB
cana-666	93	20	to	to	PART
cana-666	93	21	form	form	VERB
cana-666	93	22	a	a	DET
cana-666	93	23	single	single	ADJ
cana-666	93	24	dataset	dataset	NOUN
cana-666	93	25	.	.	PUNCT
cana-666	94	1	the	the	DET
cana-666	94	2	initial	initial	ADJ
cana-666	94	3	field	field	NOUN
cana-666	94	4	is	be	AUX
cana-666	94	5	a	a	DET
cana-666	94	6	header	header	NOUN
cana-666	94	7	that	that	PRON
cana-666	94	8	contains	contain	VERB
cana-666	94	9	the	the	DET
cana-666	94	10	column	column	NOUN
cana-666	94	11	names	name	NOUN
cana-666	94	12	and	and	CCONJ
cana-666	94	13	their	their	PRON
cana-666	94	14	corresponding	correspond	VERB
cana-666	94	15	features	feature	NOUN
cana-666	94	16	.	.	PUNCT
cana-666	95	1	when	when	SCONJ
cana-666	95	2	the	the	DET
cana-666	95	3	cicids	cicid	NOUN
cana-666	95	4	2017	2017	NUM
cana-666	95	5	csvs	csvs	ADJ
cana-666	95	6	were	be	AUX
cana-666	95	7	combined	combine	VERB
cana-666	95	8	,	,	PUNCT
cana-666	95	9	it	it	PRON
cana-666	95	10	was	be	AUX
cana-666	95	11	found	find	VERB
cana-666	95	12	that	that	SCONJ
cana-666	95	13	many	many	ADJ
cana-666	95	14	of	of	ADP
cana-666	95	15	the	the	DET
cana-666	95	16	header	header	NOUN
cana-666	95	17	fields	field	NOUN
cana-666	95	18	were	be	AUX
cana-666	95	19	repeated	repeat	VERB
cana-666	95	20	.	.	PUNCT
cana-666	96	1	after	after	ADP
cana-666	96	2	excluding	exclude	VERB
cana-666	96	3	these	these	PRON
cana-666	96	4	,	,	PUNCT
cana-666	96	5	the	the	DET
cana-666	96	6	remaining	remain	VERB
cana-666	96	7	sample	sample	NOUN
cana-666	96	8	size	size	NOUN
cana-666	96	9	was	be	AUX
cana-666	96	10	2,660,377	2,660,377	NUM
cana-666	96	11	.	.	PUNCT
cana-666	97	1	duplicate	duplicate	ADJ
cana-666	97	2	entries	entry	NOUN
cana-666	97	3	and	and	CCONJ
cana-666	97	4	unrealistic	unrealistic	ADJ
cana-666	97	5	characteristics	characteristic	NOUN
cana-666	97	6	were	be	AUX
cana-666	97	7	removed	remove	VERB
cana-666	97	8	from	from	ADP
cana-666	97	9	the	the	DET
cana-666	97	10	data	datum	NOUN
cana-666	97	11	sample	sample	NOUN
cana-666	97	12	.	.	PUNCT
cana-666	98	1	this	this	PRON
cana-666	98	2	cuts	cut	VERB
cana-666	98	3	the	the	DET
cana-666	98	4	total	total	ADJ
cana-666	98	5	number	number	NOUN
cana-666	98	6	of	of	ADP
cana-666	98	7	features	feature	NOUN
cana-666	98	8	down	down	ADV
cana-666	98	9	to	to	ADP
cana-666	98	10	69	69	NUM
cana-666	98	11	useable	useable	ADJ
cana-666	98	12	ones	one	NOUN
cana-666	98	13	during	during	ADP
cana-666	98	14	ml	ml	NOUN
cana-666	98	15	training	training	NOUN
cana-666	98	16	.	.	PUNCT
cana-666	99	1	all	all	DET
cana-666	99	2	records	record	NOUN
cana-666	99	3	in	in	ADP
cana-666	99	4	the	the	DET
cana-666	99	5	cicids	cicid	NOUN
cana-666	99	6	2017	2017	NUM
cana-666	99	7	validation	validation	NOUN
cana-666	99	8	set	set	NOUN
cana-666	99	9	were	be	AUX
cana-666	99	10	checked	check	VERB
cana-666	99	11	for	for	ADP
cana-666	99	12	duplication	duplication	NOUN
cana-666	99	13	and	and	CCONJ
cana-666	99	14	deleted	delete	VERB
cana-666	99	15	if	if	SCONJ
cana-666	99	16	necessary	necessary	ADJ
cana-666	99	17	.	.	PUNCT
cana-666	100	1	classes	class	NOUN
cana-666	100	2	were	be	AUX
cana-666	100	3	formatted	format	VERB
cana-666	100	4	to	to	PART
cana-666	100	5	return	return	VERB
cana-666	100	6	integers	integer	NOUN
cana-666	100	7	instead	instead	ADV
cana-666	100	8	of	of	ADP
cana-666	100	9	strings	string	NOUN
cana-666	100	10	as	as	ADP
cana-666	100	11	part	part	NOUN
cana-666	100	12	of	of	ADP
cana-666	100	13	the	the	DET
cana-666	100	14	encoding	encoding	NOUN
cana-666	100	15	process	process	NOUN
cana-666	100	16	.	.	PUNCT
cana-666	101	1	to	to	PART
cana-666	101	2	round	round	VERB
cana-666	101	3	out	out	ADP
cana-666	101	4	the	the	DET
cana-666	101	5	preprocessing	preprocessing	NOUN
cana-666	101	6	,	,	PUNCT
cana-666	101	7	we	we	PRON
cana-666	101	8	employ	employ	VERB
cana-666	101	9	the	the	DET
cana-666	101	10	min	min	PROPN
cana-666	101	11	-	-	PUNCT
cana-666	101	12	max	max	PROPN
cana-666	101	13	data	datum	NOUN
cana-666	101	14	transformation	transformation	NOUN
cana-666	101	15	,	,	PUNCT
cana-666	101	16	which	which	PRON
cana-666	101	17	adjusts	adjust	VERB
cana-666	101	18	the	the	DET
cana-666	101	19	scale	scale	NOUN
cana-666	101	20	and	and	CCONJ
cana-666	101	21	direction	direction	NOUN
cana-666	101	22	of	of	ADP
cana-666	101	23	each	each	DET
cana-666	101	24	feature	feature	NOUN
cana-666	101	25	so	so	SCONJ
cana-666	101	26	that	that	SCONJ
cana-666	101	27	it	it	PRON
cana-666	101	28	falls	fall	VERB
cana-666	101	29	inside	inside	ADP
cana-666	101	30	a	a	DET
cana-666	101	31	narrow	narrow	ADJ
cana-666	101	32	band	band	NOUN
cana-666	101	33	.	.	PUNCT
cana-666	102	1	the	the	DET
cana-666	102	2	distribution	distribution	NOUN
cana-666	102	3	of	of	ADP
cana-666	102	4	each	each	DET
cana-666	102	5	feature	feature	NOUN
cana-666	102	6	was	be	AUX
cana-666	102	7	plotted	plot	VERB
cana-666	102	8	and	and	CCONJ
cana-666	102	9	visually	visually	ADV
cana-666	102	10	inspected	inspect	VERB
cana-666	102	11	before	before	SCONJ
cana-666	102	12	we	we	PRON
cana-666	102	13	began	begin	VERB
cana-666	102	14	putting	put	VERB
cana-666	102	15	the	the	DET
cana-666	102	16	cleaned	clean	VERB
cana-666	102	17	data	datum	NOUN
cana-666	102	18	into	into	ADP
cana-666	102	19	our	our	PRON
cana-666	102	20	ml	ml	NOUN
cana-666	102	21	algorithm	algorithm	NOUN
cana-666	102	22	.	.	PUNCT
cana-666	103	1	this	this	PRON
cana-666	103	2	was	be	AUX
cana-666	103	3	possible	possible	ADJ
cana-666	103	4	because	because	SCONJ
cana-666	103	5	our	our	PRON
cana-666	103	6	set	set	NOUN
cana-666	103	7	of	of	ADP
cana-666	103	8	traits	trait	NOUN
cana-666	103	9	was	be	AUX
cana-666	103	10	small	small	ADJ
cana-666	103	11	enough	enough	ADV
cana-666	103	12	that	that	SCONJ
cana-666	103	13	we	we	PRON
cana-666	103	14	could	could	AUX
cana-666	103	15	examine	examine	VERB
cana-666	103	16	each	each	DET
cana-666	103	17	one	one	NOUN
cana-666	103	18	separately	separately	ADV
cana-666	103	19	.	.	PUNCT
cana-666	104	1	during	during	ADP
cana-666	104	2	this	this	DET
cana-666	104	3	procedure	procedure	NOUN
cana-666	104	4	,	,	PUNCT
cana-666	104	5	we	we	PRON
cana-666	104	6	discovered	discover	VERB
cana-666	104	7	that	that	SCONJ
cana-666	104	8	several	several	ADJ
cana-666	104	9	characteristics	characteristic	NOUN
cana-666	104	10	were	be	AUX
cana-666	104	11	extremely	extremely	ADV
cana-666	104	12	asymmetrical	asymmetrical	ADJ
cana-666	104	13	.	.	PUNCT
cana-666	105	1	to	to	PART
cana-666	105	2	alleviate	alleviate	VERB
cana-666	105	3	the	the	DET
cana-666	105	4	issues	issue	NOUN
cana-666	105	5	that	that	PRON
cana-666	105	6	arise	arise	VERB
cana-666	105	7	from	from	ADP
cana-666	105	8	using	use	VERB
cana-666	105	9	a	a	DET
cana-666	105	10	distance	distance	NOUN
cana-666	105	11	-	-	PUNCT
cana-666	105	12	based	base	VERB
cana-666	105	13	classifier	classifier	NOUN
cana-666	105	14	with	with	ADP
cana-666	105	15	a	a	DET
cana-666	105	16	typical	typical	ADJ
cana-666	105	17	scaling	scaling	NOUN
cana-666	105	18	strategy	strategy	NOUN
cana-666	105	19	,	,	PUNCT
cana-666	105	20	the	the	DET
cana-666	105	21	feature	feature	NOUN
cana-666	105	22	scaling	scaling	NOUN
cana-666	105	23	and	and	CCONJ
cana-666	105	24	transformation	transformation	NOUN
cana-666	105	25	method	method	NOUN
cana-666	105	26	is	be	AUX
cana-666	105	27	implemented	implement	VERB
cana-666	105	28	.	.	PUNCT
cana-666	106	1	changing	change	VERB
cana-666	106	2	the	the	DET
cana-666	106	3	distribution	distribution	NOUN
cana-666	106	4	of	of	ADP
cana-666	106	5	classes	class	NOUN
cana-666	106	6	to	to	PART
cana-666	106	7	make	make	VERB
cana-666	106	8	it	it	PRON
cana-666	106	9	more	more	ADV
cana-666	106	10	even	even	ADV
cana-666	106	11	is	be	AUX
cana-666	106	12	a	a	DET
cana-666	106	13	direct	direct	ADJ
cana-666	106	14	approach	approach	NOUN
cana-666	106	15	to	to	ADP
cana-666	106	16	resolving	resolve	VERB
cana-666	106	17	class	class	NOUN
cana-666	106	18	differences	difference	NOUN
cana-666	106	19	.	.	PUNCT
cana-666	107	1	class	class	NOUN
cana-666	107	2	allocations	allocation	NOUN
cana-666	107	3	can	can	AUX
cana-666	107	4	be	be	AUX
cana-666	107	5	made	make	VERB
cana-666	107	6	more	more	ADV
cana-666	107	7	equitable	equitable	ADJ
cana-666	107	8	in	in	ADP
cana-666	107	9	two	two	NUM
cana-666	107	10	ways	way	NOUN
cana-666	107	11	.	.	PUNCT
cana-666	108	1	both	both	DET
cana-666	108	2	underand	underand	NOUN
cana-666	108	3	over	over	ADP
cana-666	108	4	-	-	PUNCT
cana-666	108	5	sampling	sampling	NOUN
cana-666	108	6	,	,	PUNCT
cana-666	108	7	in	in	ADP
cana-666	108	8	which	which	PRON
cana-666	108	9	members	member	NOUN
cana-666	108	10	of	of	ADP
cana-666	108	11	one	one	NUM
cana-666	108	12	group	group	NOUN
cana-666	108	13	are	be	AUX
cana-666	108	14	ignored	ignore	VERB
cana-666	108	15	in	in	ADP
cana-666	108	16	favor	favor	NOUN
cana-666	108	17	of	of	ADP
cana-666	108	18	those	those	PRON
cana-666	108	19	from	from	ADP
cana-666	108	20	another	another	PRON
cana-666	108	21	,	,	PUNCT
cana-666	108	22	are	be	AUX
cana-666	108	23	forms	form	NOUN
cana-666	108	24	of	of	ADP
cana-666	108	25	bias	bias	NOUN
cana-666	108	26	.	.	PUNCT
cana-666	109	1	an	an	DET
cana-666	109	2	unbalanced	unbalanced	ADJ
cana-666	109	3	dataset	dataset	NOUN
cana-666	109	4	can	can	AUX
cana-666	109	5	be	be	AUX
cana-666	109	6	sampled	sample	VERB
cana-666	109	7	in	in	ADP
cana-666	109	8	a	a	DET
cana-666	109	9	variety	variety	NOUN
cana-666	109	10	of	of	ADP
cana-666	109	11	ways	way	NOUN
cana-666	109	12	,	,	PUNCT
cana-666	109	13	including	include	VERB
cana-666	109	14	both	both	DET
cana-666	109	15	underand	underand	NOUN
cana-666	109	16	over	over	ADP
cana-666	109	17	-	-	PUNCT
cana-666	109	18	sampling	sampling	NOUN
cana-666	109	19	.	.	PUNCT
cana-666	110	1	the	the	DET
cana-666	110	2	smoteenn	smoteenn	PROPN
cana-666	110	3	approach	approach	NOUN
cana-666	110	4	employed	employ	VERB
cana-666	110	5	to	to	PART
cana-666	110	6	cleanse	cleanse	VERB
cana-666	110	7	the	the	DET
cana-666	110	8	data	datum	NOUN
cana-666	110	9	,	,	PUNCT
cana-666	110	10	which	which	PRON
cana-666	110	11	integrates	integrate	VERB
cana-666	110	12	the	the	DET
cana-666	110	13	synthetic	synthetic	ADJ
cana-666	110	14	minority	minority	NOUN
cana-666	110	15	oversampling	oversample	VERB
cana-666	110	16	approach	approach	NOUN
cana-666	110	17	(	(	PUNCT
cana-666	110	18	smote	smote	VERB
cana-666	110	19	)	)	PUNCT
cana-666	110	20	for	for	ADP
cana-666	110	21	increasing	increase	VERB
cana-666	110	22	the	the	DET
cana-666	110	23	representation	representation	NOUN
cana-666	110	24	of	of	ADP
cana-666	110	25	the	the	DET
cana-666	110	26	minority	minority	NOUN
cana-666	110	27	class	class	NOUN
cana-666	110	28	,	,	PUNCT
cana-666	110	29	and	and	CCONJ
cana-666	110	30	the	the	DET
cana-666	110	31	undersampling	undersampling	ADJ
cana-666	110	32	technique	technique	NOUN
cana-666	110	33	for	for	ADP
cana-666	110	34	reducing	reduce	VERB
cana-666	110	35	the	the	DET
cana-666	110	36	representation	representation	NOUN
cana-666	110	37	of	of	ADP
cana-666	110	38	not	not	PART
cana-666	110	39	just	just	ADV
cana-666	110	40	the	the	DET
cana-666	110	41	majority	majority	NOUN
cana-666	110	42	class	class	NOUN
cana-666	110	43	but	but	CCONJ
cana-666	110	44	also	also	ADV
cana-666	110	45	all	all	DET
cana-666	110	46	other	other	ADJ
cana-666	110	47	classes	class	NOUN
cana-666	110	48	.	.	PUNCT
cana-666	111	1	someone	someone	PRON
cana-666	111	2	needs	need	VERB
cana-666	111	3	to	to	PART
cana-666	111	4	use	use	VERB
cana-666	111	5	extreme	extreme	ADJ
cana-666	111	6	caution	caution	NOUN
cana-666	111	7	throughout	throughout	ADP
cana-666	111	8	the	the	DET
cana-666	111	9	assessment	assessment	NOUN
cana-666	111	10	phase	phase	NOUN
cana-666	111	11	when	when	SCONJ
cana-666	111	12	employing	employ	VERB
cana-666	111	13	oversampling	oversample	VERB
cana-666	111	14	techniques	technique	NOUN
cana-666	111	15	.	.	PUNCT
cana-666	112	1	if	if	SCONJ
cana-666	112	2	over	over	NOUN
cana-666	112	3	-	-	PUNCT
cana-666	112	4	sampling	sampling	NOUN
cana-666	112	5	is	be	AUX
cana-666	112	6	conducted	conduct	VERB
cana-666	112	7	before	before	ADP
cana-666	112	8	dividing	divide	VERB
cana-666	112	9	the	the	DET
cana-666	112	10	dataset	dataset	NOUN
cana-666	112	11	into	into	ADP
cana-666	112	12	training	training	NOUN
cana-666	112	13	,	,	PUNCT
cana-666	112	14	development	development	NOUN
cana-666	112	15	,	,	PUNCT
cana-666	112	16	and	and	CCONJ
cana-666	112	17	test	test	NOUN
cana-666	112	18	sets	set	NOUN
cana-666	112	19	,	,	PUNCT
cana-666	112	20	the	the	DET
cana-666	112	21	assessment	assessment	NOUN
cana-666	112	22	's	's	PART
cana-666	112	23	reliability	reliability	NOUN
cana-666	112	24	is	be	AUX
cana-666	112	25	compromised	compromise	VERB
cana-666	112	26	.	.	PUNCT
cana-666	113	1	this	this	PRON
cana-666	113	2	is	be	AUX
cana-666	113	3	because	because	SCONJ
cana-666	113	4	the	the	DET
cana-666	113	5	test	test	NOUN
cana-666	113	6	set	set	NOUN
cana-666	113	7	will	will	AUX
cana-666	113	8	be	be	AUX
cana-666	113	9	considered	consider	VERB
cana-666	113	10	deliberately	deliberately	ADV
cana-666	113	11	mixed	mix	VERB
cana-666	113	12	with	with	ADP
cana-666	113	13	new	new	ADJ
cana-666	113	14	data	datum	NOUN
cana-666	113	15	,	,	PUNCT
cana-666	113	16	resulting	result	VERB
cana-666	113	17	in	in	ADP
cana-666	113	18	a	a	DET
cana-666	113	19	distribution	distribution	NOUN
cana-666	113	20	that	that	PRON
cana-666	113	21	differs	differ	VERB
cana-666	113	22	from	from	ADP
cana-666	113	23	the	the	DET
cana-666	113	24	original	original	NOUN
cana-666	113	25	.	.	PUNCT
cana-666	114	1	the	the	DET
cana-666	114	2	correct	correct	ADJ
cana-666	114	3	procedure	procedure	NOUN
cana-666	114	4	is	be	AUX
cana-666	114	5	to	to	PART
cana-666	114	6	first	first	ADV
cana-666	114	7	divide	divide	VERB
cana-666	114	8	the	the	DET
cana-666	114	9	dataset	dataset	NOUN
cana-666	114	10	in	in	ADP
cana-666	114	11	half	half	NOUN
cana-666	114	12	and	and	CCONJ
cana-666	114	13	then	then	ADV
cana-666	114	14	use	use	VERB
cana-666	114	15	the	the	DET
cana-666	114	16	over	over	ADV
cana-666	114	17	-	-	PUNCT
cana-666	114	18	sampling	sample	VERB
cana-666	114	19	approach	approach	NOUN
cana-666	114	20	only	only	ADV
cana-666	114	21	to	to	ADP
cana-666	114	22	the	the	DET
cana-666	114	23	training	training	NOUN
cana-666	114	24	set	set	NOUN
cana-666	114	25	.	.	PUNCT
cana-666	115	1	in	in	ADP
cana-666	115	2	this	this	DET
cana-666	115	3	approach	approach	NOUN
cana-666	115	4	,	,	PUNCT
cana-666	115	5	the	the	DET
cana-666	115	6	ml	ml	PROPN
cana-666	115	7	algorithm	algorithm	NOUN
cana-666	115	8	may	may	AUX
cana-666	115	9	get	get	VERB
cana-666	115	10	additional	additional	ADJ
cana-666	115	11	data	datum	NOUN
cana-666	115	12	for	for	ADP
cana-666	115	13	communications	communication	NOUN
cana-666	115	14	on	on	ADP
cana-666	115	15	applied	apply	VERB
cana-666	115	16	nonlinear	nonlinear	ADJ
cana-666	115	17	analysis	analysis	NOUN
cana-666	115	18	issn	issn	NOUN
cana-666	115	19	:	:	PUNCT
cana-666	115	20	1074	1074	NUM
cana-666	115	21	-	-	PUNCT
cana-666	115	22	133x	133x	NUM
cana-666	115	23	vol	vol	NOUN
cana-666	115	24	31	31	NUM
cana-666	115	25	no	no	NOUN
cana-666	115	26	.	.	PUNCT
cana-666	116	1	2s	2s	NUM
cana-666	116	2	(	(	PUNCT
cana-666	116	3	2024	2024	NUM
cana-666	116	4	)	)	PUNCT
cana-666	116	5	551	551	NUM
cana-666	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	116	7	training	training	NOUN
cana-666	116	8	,	,	PUNCT
cana-666	116	9	but	but	CCONJ
cana-666	116	10	the	the	DET
cana-666	116	11	development	development	NOUN
cana-666	116	12	and	and	CCONJ
cana-666	116	13	test	test	NOUN
cana-666	116	14	sets	set	NOUN
cana-666	116	15	are	be	AUX
cana-666	116	16	kept	keep	VERB
cana-666	116	17	unmodified	unmodified	ADJ
cana-666	116	18	and	and	CCONJ
cana-666	116	19	can	can	AUX
cana-666	116	20	be	be	AUX
cana-666	116	21	relied	rely	VERB
cana-666	116	22	upon	upon	SCONJ
cana-666	116	23	for	for	ADP
cana-666	116	24	model	model	NOUN
cana-666	116	25	evaluation	evaluation	NOUN
cana-666	116	26	and	and	CCONJ
cana-666	116	27	refinement	refinement	NOUN
cana-666	116	28	.	.	PUNCT
cana-666	117	1	once	once	SCONJ
cana-666	117	2	we	we	PRON
cana-666	117	3	were	be	AUX
cana-666	117	4	done	do	VERB
cana-666	117	5	cleaning	clean	VERB
cana-666	117	6	the	the	DET
cana-666	117	7	data	datum	NOUN
cana-666	117	8	,	,	PUNCT
cana-666	117	9	we	we	PRON
cana-666	117	10	divided	divide	VERB
cana-666	117	11	the	the	DET
cana-666	117	12	dataset	dataset	NOUN
cana-666	117	13	in	in	ADP
cana-666	117	14	half	half	NOUN
cana-666	117	15	,	,	PUNCT
cana-666	117	16	allocating	allocate	VERB
cana-666	117	17	20	20	NUM
cana-666	117	18	%	%	NOUN
cana-666	117	19	of	of	ADP
cana-666	117	20	the	the	DET
cana-666	117	21	total	total	NOUN
cana-666	117	22	to	to	ADP
cana-666	117	23	testing	testing	NOUN
cana-666	117	24	and	and	CCONJ
cana-666	117	25	80	80	NUM
cana-666	117	26	%	%	NOUN
cana-666	117	27	to	to	ADP
cana-666	117	28	training	training	NOUN
cana-666	117	29	.	.	PUNCT
cana-666	118	1	the	the	DET
cana-666	118	2	learning	learning	NOUN
cana-666	118	3	set	set	NOUN
cana-666	118	4	was	be	AUX
cana-666	118	5	utilized	utilize	VERB
cana-666	118	6	for	for	ADP
cana-666	118	7	that	that	DET
cana-666	118	8	purpose	purpose	NOUN
cana-666	118	9	,	,	PUNCT
cana-666	118	10	the	the	DET
cana-666	118	11	validation	validation	NOUN
cana-666	118	12	set	set	NOUN
cana-666	118	13	was	be	AUX
cana-666	118	14	employed	employ	VERB
cana-666	118	15	for	for	ADP
cana-666	118	16	rapid	rapid	ADJ
cana-666	118	17	evaluation	evaluation	NOUN
cana-666	118	18	of	of	ADP
cana-666	118	19	the	the	DET
cana-666	118	20	prototypes	prototype	NOUN
cana-666	118	21	during	during	ADP
cana-666	118	22	train	train	NOUN
cana-666	118	23	,	,	PUNCT
cana-666	118	24	and	and	CCONJ
cana-666	118	25	the	the	DET
cana-666	118	26	test	test	NOUN
cana-666	118	27	set	set	NOUN
cana-666	118	28	was	be	AUX
cana-666	118	29	utilized	utilize	VERB
cana-666	118	30	for	for	ADP
cana-666	118	31	the	the	DET
cana-666	118	32	final	final	ADJ
cana-666	118	33	assessment	assessment	NOUN
cana-666	118	34	of	of	ADP
cana-666	118	35	the	the	DET
cana-666	118	36	model	model	NOUN
cana-666	118	37	.	.	PUNCT
cana-666	119	1	c.	c.	NOUN
cana-666	119	2	feature	feature	NOUN
cana-666	119	3	selection	selection	NOUN
cana-666	119	4	and	and	CCONJ
cana-666	119	5	optimization	optimization	NOUN
cana-666	119	6	feature	feature	NOUN
cana-666	119	7	selection	selection	NOUN
cana-666	119	8	refers	refer	VERB
cana-666	119	9	to	to	ADP
cana-666	119	10	the	the	DET
cana-666	119	11	procedure	procedure	NOUN
cana-666	119	12	of	of	ADP
cana-666	119	13	picking	pick	VERB
cana-666	119	14	out	out	ADP
cana-666	119	15	the	the	DET
cana-666	119	16	data	data	NOUN
cana-666	119	17	points	point	NOUN
cana-666	119	18	that	that	PRON
cana-666	119	19	will	will	AUX
cana-666	119	20	be	be	AUX
cana-666	119	21	used	use	VERB
cana-666	119	22	to	to	PART
cana-666	119	23	train	train	VERB
cana-666	119	24	a	a	DET
cana-666	119	25	model	model	NOUN
cana-666	119	26	.	.	PUNCT
cana-666	120	1	during	during	ADP
cana-666	120	2	model	model	NOUN
cana-666	120	3	learning	learning	PROPN
cana-666	120	4	,	,	PUNCT
cana-666	120	5	feature	feature	NOUN
cana-666	120	6	selection	selection	NOUN
cana-666	120	7	methods	method	NOUN
cana-666	120	8	seek	seek	VERB
cana-666	120	9	to	to	PART
cana-666	120	10	identify	identify	VERB
cana-666	120	11	the	the	DET
cana-666	120	12	most	most	ADV
cana-666	120	13	informative	informative	ADJ
cana-666	120	14	data	datum	NOUN
cana-666	120	15	points	point	NOUN
cana-666	120	16	from	from	ADP
cana-666	120	17	which	which	PRON
cana-666	120	18	to	to	PART
cana-666	120	19	construct	construct	VERB
cana-666	120	20	accurate	accurate	ADJ
cana-666	120	21	representations	representation	NOUN
cana-666	120	22	of	of	ADP
cana-666	120	23	the	the	DET
cana-666	120	24	phenomena	phenomenon	NOUN
cana-666	120	25	under	under	ADP
cana-666	120	26	investigation	investigation	NOUN
cana-666	120	27	.	.	PUNCT
cana-666	121	1	useful	useful	ADJ
cana-666	121	2	for	for	ADP
cana-666	121	3	both	both	CCONJ
cana-666	121	4	a	a	DET
cana-666	121	5	categorical	categorical	ADJ
cana-666	121	6	(	(	PUNCT
cana-666	121	7	class	class	NOUN
cana-666	121	8	)	)	PUNCT
cana-666	121	9	target	target	NOUN
cana-666	121	10	variable	variable	ADJ
cana-666	121	11	and	and	CCONJ
cana-666	121	12	numerical	numerical	ADJ
cana-666	121	13	input	input	PROPN
cana-666	121	14	data	datum	NOUN
cana-666	121	15	,	,	PUNCT
cana-666	121	16	analysis	analysis	NOUN
cana-666	121	17	of	of	ADP
cana-666	121	18	variance	variance	NOUN
cana-666	121	19	(	(	PUNCT
cana-666	121	20	anova	anova	PROPN
cana-666	121	21	)	)	PUNCT
cana-666	121	22	is	be	AUX
cana-666	121	23	a	a	DET
cana-666	121	24	feature	feature	NOUN
cana-666	121	25	selection	selection	NOUN
cana-666	121	26	approach	approach	NOUN
cana-666	121	27	,	,	PUNCT
cana-666	121	28	which	which	PRON
cana-666	121	29	is	be	AUX
cana-666	121	30	used	use	VERB
cana-666	121	31	to	to	PART
cana-666	121	32	compare	compare	VERB
cana-666	121	33	the	the	DET
cana-666	121	34	means	mean	NOUN
cana-666	121	35	of	of	ADP
cana-666	121	36	many	many	ADJ
cana-666	121	37	groups	group	NOUN
cana-666	121	38	that	that	PRON
cana-666	121	39	have	have	AUX
cana-666	121	40	known	know	VERB
cana-666	121	41	differences	difference	NOUN
cana-666	121	42	.	.	PUNCT
cana-666	122	1	in	in	ADP
cana-666	122	2	general	general	ADJ
cana-666	122	3	,	,	PUNCT
cana-666	122	4	it	it	PRON
cana-666	122	5	seeks	seek	VERB
cana-666	122	6	to	to	PART
cana-666	122	7	understand	understand	VERB
cana-666	122	8	how	how	SCONJ
cana-666	122	9	different	different	ADJ
cana-666	122	10	aspects	aspect	NOUN
cana-666	122	11	of	of	ADP
cana-666	122	12	the	the	DET
cana-666	122	13	data	datum	NOUN
cana-666	122	14	are	be	AUX
cana-666	122	15	interconnected	interconnect	VERB
cana-666	122	16	.	.	PUNCT
cana-666	123	1	by	by	ADP
cana-666	123	2	comparing	compare	VERB
cana-666	123	3	the	the	DET
cana-666	123	4	standard	standard	ADJ
cana-666	123	5	deviations	deviation	NOUN
cana-666	123	6	of	of	ADP
cana-666	123	7	representative	representative	ADJ
cana-666	123	8	samples	sample	NOUN
cana-666	123	9	,	,	PUNCT
cana-666	123	10	it	it	PRON
cana-666	123	11	may	may	AUX
cana-666	123	12	also	also	ADV
cana-666	123	13	be	be	AUX
cana-666	123	14	used	use	VERB
cana-666	123	15	to	to	PART
cana-666	123	16	test	test	VERB
cana-666	123	17	the	the	DET
cana-666	123	18	null	null	ADJ
cana-666	123	19	hypothesis	hypothesis	NOUN
cana-666	123	20	that	that	SCONJ
cana-666	123	21	two	two	NUM
cana-666	123	22	or	or	CCONJ
cana-666	123	23	more	more	ADJ
cana-666	123	24	populations	population	NOUN
cana-666	123	25	have	have	VERB
cana-666	123	26	the	the	DET
cana-666	123	27	same	same	ADJ
cana-666	123	28	mean	mean	NOUN
cana-666	123	29	value	value	NOUN
cana-666	123	30	.	.	PUNCT
cana-666	124	1	the	the	DET
cana-666	124	2	offered	offer	VERB
cana-666	124	3	data	datum	NOUN
cana-666	124	4	set	set	VERB
cana-666	124	5	is	be	AUX
cana-666	124	6	biased	bias	VERB
cana-666	124	7	by	by	ADP
cana-666	124	8	systematic	systematic	ADJ
cana-666	124	9	rather	rather	ADV
cana-666	124	10	than	than	ADP
cana-666	124	11	random	random	ADJ
cana-666	124	12	variables	variable	NOUN
cana-666	124	13	.	.	PUNCT
cana-666	125	1	researchers	researcher	NOUN
cana-666	125	2	employ	employ	VERB
cana-666	125	3	the	the	DET
cana-666	125	4	anova	anova	PROPN
cana-666	125	5	test	test	NOUN
cana-666	125	6	often	often	ADV
cana-666	125	7	to	to	PART
cana-666	125	8	assess	assess	VERB
cana-666	125	9	the	the	DET
cana-666	125	10	influence	influence	NOUN
cana-666	125	11	of	of	ADP
cana-666	125	12	potential	potential	ADJ
cana-666	125	13	confounders	confounder	NOUN
cana-666	125	14	on	on	ADP
cana-666	125	15	a	a	DET
cana-666	125	16	dependent	dependent	ADJ
cana-666	125	17	variable	variable	NOUN
cana-666	125	18	.	.	PUNCT
cana-666	126	1	the	the	DET
cana-666	126	2	anova	anova	PROPN
cana-666	126	3	method	method	NOUN
cana-666	126	4	is	be	AUX
cana-666	126	5	a	a	DET
cana-666	126	6	statistical	statistical	ADJ
cana-666	126	7	technique	technique	NOUN
cana-666	126	8	that	that	PRON
cana-666	126	9	involves	involve	VERB
cana-666	126	10	using	use	VERB
cana-666	126	11	an	an	DET
cana-666	126	12	f	f	NOUN
cana-666	126	13	-	-	PUNCT
cana-666	126	14	statistic	statistic	NOUN
cana-666	126	15	,	,	PUNCT
cana-666	126	16	which	which	PRON
cana-666	126	17	is	be	AUX
cana-666	126	18	specifically	specifically	ADV
cana-666	126	19	referred	refer	VERB
cana-666	126	20	to	to	ADP
cana-666	126	21	as	as	ADP
cana-666	126	22	an	an	DET
cana-666	126	23	anova	anova	PROPN
cana-666	126	24	f	f	X
cana-666	126	25	-	-	PUNCT
cana-666	126	26	test	test	NOUN
cana-666	126	27	in	in	ADP
cana-666	126	28	this	this	DET
cana-666	126	29	context	context	NOUN
cana-666	126	30	.	.	PUNCT
cana-666	127	1	the	the	DET
cana-666	127	2	f	f	NOUN
cana-666	127	3	-	-	PUNCT
cana-666	127	4	statistic	statistic	NOUN
cana-666	127	5	computed	compute	VERB
cana-666	127	6	using	use	VERB
cana-666	127	7	𝐹	𝐹	PROPN
cana-666	127	8	=	=	SYM
cana-666	127	9	𝑀𝑆𝑇	𝑀𝑆𝑇	PROPN
cana-666	127	10	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
cana-666	127	11	𝑀𝑆𝑇	𝑀𝑆𝑇	NOUN
cana-666	127	12	=	=	PUNCT
cana-666	127	13	∑	∑	PUNCT
cana-666	127	14	(	(	PUNCT
cana-666	127	15	𝑇𝑖	𝑇𝑖	PROPN
cana-666	127	16	2	2	NUM
cana-666	127	17	𝑛𝑖	𝑛𝑖	NOUN
cana-666	127	18	⁄	⁄	PROPN
cana-666	127	19	)	)	PUNCT
cana-666	127	20	−	−	PROPN
cana-666	127	21	𝐺2	𝐺2	NOUN
cana-666	127	22	𝑛⁄	𝑛⁄	PROPN
cana-666	127	23	𝑘	𝑘	X
cana-666	127	24	𝑖=1	𝑖=1	PROPN
cana-666	127	25	𝑘	𝑘	DET
cana-666	127	26	−	−	PROPN
cana-666	127	27	1	1	NUM
cana-666	127	28	𝑀𝑆𝐸	𝑀𝑆𝐸	NOUN
cana-666	127	29	=	=	SYM
cana-666	127	30	∑	∑	PUNCT
cana-666	127	31	∑	∑	PROPN
cana-666	127	32	𝑌𝑖𝑗	𝑌𝑖𝑗	PROPN
cana-666	127	33	2	2	NUM
cana-666	127	34	−	−	NOUN
cana-666	127	35	∑	∑	PUNCT
cana-666	127	36	(	(	PUNCT
cana-666	127	37	𝑇𝑖	𝑇𝑖	PROPN
cana-666	127	38	2	2	NUM
cana-666	127	39	𝑛𝑖	𝑛𝑖	NOUN
cana-666	127	40	⁄	⁄	PROPN
cana-666	127	41	)	)	PUNCT
cana-666	127	42	𝑘	𝑘	PRON
cana-666	127	43	𝑖=1	𝑖=1	PROPN
cana-666	127	44	𝑛𝑖	𝑛𝑖	PROPN
cana-666	127	45	𝑗=1	𝑗=1	PROPN
cana-666	128	1	𝑘	𝑘	X
cana-666	128	2	𝑖=1	𝑖=1	PROPN
cana-666	128	3	𝑛	𝑛	PRON
cana-666	128	4	−	−	NOUN
cana-666	128	5	𝑘	𝑘	ADP
cana-666	128	6	where	where	SCONJ
cana-666	128	7	,	,	PUNCT
cana-666	128	8	mse	mse	PROPN
cana-666	128	9	mean	mean	NOUN
cana-666	128	10	sum	sum	NOUN
cana-666	128	11	of	of	ADP
cana-666	128	12	squares	square	NOUN
cana-666	128	13	due	due	ADJ
cana-666	128	14	to	to	ADP
cana-666	128	15	errors	error	NOUN
cana-666	128	16	,	,	PUNCT
cana-666	128	17	mst	mst	PROPN
cana-666	128	18	mean	mean	NOUN
cana-666	128	19	sum	sum	NOUN
cana-666	128	20	of	of	ADP
cana-666	128	21	squares	square	NOUN
cana-666	128	22	due	due	ADP
cana-666	128	23	to	to	ADP
cana-666	128	24	treatment	treatment	NOUN
cana-666	128	25	,	,	PUNCT
cana-666	128	26	t	t	NOUN
cana-666	128	27	sample	sample	NOUN
cana-666	128	28	mean	mean	VERB
cana-666	128	29	response	response	NOUN
cana-666	128	30	for	for	ADP
cana-666	128	31	group	group	NOUN
cana-666	128	32	i	i	PROPN
cana-666	128	33	,	,	PUNCT
cana-666	128	34	g	g	PROPN
cana-666	128	35	overall	overall	ADJ
cana-666	128	36	sample	sample	NOUN
cana-666	128	37	mean	mean	NOUN
cana-666	128	38	response	response	NOUN
cana-666	128	39	,	,	PUNCT
cana-666	128	40	y	y	PROPN
cana-666	128	41	sample	sample	NOUN
cana-666	128	42	variance	variance	NOUN
cana-666	128	43	for	for	ADP
cana-666	128	44	group	group	NOUN
cana-666	128	45	i	i	PROPN
cana-666	128	46	,	,	PUNCT
cana-666	128	47	j.	j.	PROPN
cana-666	128	48	d.	d.	PROPN
cana-666	128	49	classification	classification	PROPN
cana-666	128	50	dl	dl	PROPN
cana-666	128	51	/	/	SYM
cana-666	128	52	ml	ml	PROPN
cana-666	128	53	algorithms	algorithm	NOUN
cana-666	128	54	sequential	sequential	ADJ
cana-666	128	55	deep	deep	ADJ
cana-666	128	56	recurrent	recurrent	ADJ
cana-666	128	57	neural	neural	ADJ
cana-666	128	58	network	network	NOUN
cana-666	128	59	(	(	PUNCT
cana-666	128	60	sdrnn	sdrnn	PROPN
cana-666	128	61	)	)	PUNCT
cana-666	128	62	recurrent	recurrent	ADJ
cana-666	128	63	neural	neural	ADJ
cana-666	128	64	networks	network	NOUN
cana-666	128	65	(	(	PUNCT
cana-666	128	66	rnn	rnn	PROPN
cana-666	128	67	)	)	PUNCT
cana-666	128	68	are	be	AUX
cana-666	128	69	a	a	DET
cana-666	128	70	type	type	NOUN
cana-666	128	71	of	of	ADP
cana-666	128	72	deep	deep	ADJ
cana-666	128	73	learning	learning	NOUN
cana-666	128	74	model	model	NOUN
cana-666	128	75	used	use	VERB
cana-666	128	76	to	to	PART
cana-666	128	77	simulate	simulate	VERB
cana-666	128	78	sequential	sequential	ADJ
cana-666	128	79	input	input	NOUN
cana-666	128	80	.	.	PUNCT
cana-666	129	1	while	while	SCONJ
cana-666	129	2	traditional	traditional	ADJ
cana-666	129	3	cnn	cnn	PROPN
cana-666	129	4	are	be	AUX
cana-666	129	5	best	well	ADV
cana-666	129	6	suited	suit	VERB
cana-666	129	7	for	for	ADP
cana-666	129	8	dealing	deal	VERB
cana-666	129	9	with	with	ADP
cana-666	129	10	geographical	geographical	ADJ
cana-666	129	11	data	datum	NOUN
cana-666	129	12	,	,	PUNCT
cana-666	129	13	sequential	sequential	ADJ
cana-666	129	14	deep	deep	ADJ
cana-666	129	15	rnn	rnn	NOUN
cana-666	129	16	can	can	AUX
cana-666	129	17	simulate	simulate	VERB
cana-666	129	18	time	time	NOUN
cana-666	129	19	-	-	PUNCT
cana-666	129	20	dependent	dependent	ADJ
cana-666	129	21	and	and	CCONJ
cana-666	129	22	sequential	sequential	ADJ
cana-666	129	23	data	datum	NOUN
cana-666	129	24	issues	issue	NOUN
cana-666	129	25	successfully	successfully	ADV
cana-666	129	26	.	.	PUNCT
cana-666	130	1	before	before	SCONJ
cana-666	130	2	attention	attention	NOUN
cana-666	130	3	models	model	NOUN
cana-666	130	4	were	be	AUX
cana-666	130	5	developed	develop	VERB
cana-666	130	6	,	,	PUNCT
cana-666	130	7	recurrent	recurrent	ADJ
cana-666	130	8	neural	neural	ADJ
cana-666	130	9	networks	network	NOUN
cana-666	130	10	(	(	PUNCT
cana-666	130	11	rnns	rnns	PROPN
cana-666	130	12	)	)	PUNCT
cana-666	130	13	were	be	AUX
cana-666	130	14	commonly	commonly	ADV
cana-666	130	15	used	use	VERB
cana-666	130	16	for	for	ADP
cana-666	130	17	handling	handle	VERB
cana-666	130	18	sequential	sequential	ADJ
cana-666	130	19	input	input	NOUN
cana-666	130	20	.	.	PUNCT
cana-666	131	1	a	a	DET
cana-666	131	2	deep	deep	ADJ
cana-666	131	3	feedforward	feedforward	NOUN
cana-666	131	4	model	model	NOUN
cana-666	131	5	may	may	AUX
cana-666	131	6	require	require	VERB
cana-666	131	7	parameters	parameter	NOUN
cana-666	131	8	that	that	PRON
cana-666	131	9	are	be	AUX
cana-666	131	10	customized	customize	VERB
cana-666	131	11	to	to	ADP
cana-666	131	12	a	a	DET
cana-666	131	13	particular	particular	ADJ
cana-666	131	14	sequence	sequence	NOUN
cana-666	131	15	.	.	PUNCT
cana-666	132	1	there	there	PRON
cana-666	132	2	's	be	VERB
cana-666	132	3	a	a	DET
cana-666	132	4	chance	chance	NOUN
cana-666	132	5	it	it	PRON
cana-666	132	6	ca	can	AUX
cana-666	132	7	n't	not	PART
cana-666	132	8	generalize	generalize	VERB
cana-666	132	9	to	to	ADP
cana-666	132	10	sequences	sequence	NOUN
cana-666	132	11	of	of	ADP
cana-666	132	12	varying	vary	VERB
cana-666	132	13	lengths	length	NOUN
cana-666	132	14	,	,	PUNCT
cana-666	132	15	either	either	ADV
cana-666	132	16	.	.	PUNCT
cana-666	133	1	by	by	ADP
cana-666	133	2	assigning	assign	VERB
cana-666	133	3	the	the	DET
cana-666	133	4	same	same	ADJ
cana-666	133	5	weights	weight	NOUN
cana-666	133	6	to	to	ADP
cana-666	133	7	each	each	DET
cana-666	133	8	sequence	sequence	NOUN
cana-666	133	9	element	element	NOUN
cana-666	133	10	,	,	PUNCT
cana-666	133	11	recurrent	recurrent	ADJ
cana-666	133	12	neural	neural	ADJ
cana-666	133	13	networks	network	NOUN
cana-666	133	14	may	may	AUX
cana-666	133	15	generalize	generalize	VERB
cana-666	133	16	to	to	ADP
cana-666	133	17	sequences	sequence	NOUN
cana-666	133	18	of	of	ADP
cana-666	133	19	variable	variable	ADJ
cana-666	133	20	lengths	length	NOUN
cana-666	133	21	while	while	SCONJ
cana-666	133	22	using	use	VERB
cana-666	133	23	fewer	few	ADJ
cana-666	133	24	parameters	parameter	NOUN
cana-666	133	25	.	.	PUNCT
cana-666	134	1	the	the	DET
cana-666	134	2	architecture	architecture	NOUN
cana-666	134	3	of	of	ADP
cana-666	134	4	rnns	rnns	PROPN
cana-666	134	5	allows	allow	VERB
cana-666	134	6	them	they	PRON
cana-666	134	7	to	to	PART
cana-666	134	8	generalize	generalize	VERB
cana-666	134	9	to	to	ADP
cana-666	134	10	various	various	ADJ
cana-666	134	11	types	type	NOUN
cana-666	134	12	of	of	ADP
cana-666	134	13	communications	communication	NOUN
cana-666	134	14	on	on	ADP
cana-666	134	15	applied	apply	VERB
cana-666	134	16	nonlinear	nonlinear	ADJ
cana-666	134	17	analysis	analysis	NOUN
cana-666	134	18	issn	issn	NOUN
cana-666	134	19	:	:	PUNCT
cana-666	134	20	1074	1074	NUM
cana-666	134	21	-	-	PUNCT
cana-666	134	22	133x	133x	NUM
cana-666	134	23	vol	vol	NOUN
cana-666	134	24	31	31	NUM
cana-666	134	25	no	no	NOUN
cana-666	134	26	.	.	PUNCT
cana-666	135	1	2s	2s	NUM
cana-666	135	2	(	(	PUNCT
cana-666	135	3	2024	2024	NUM
cana-666	135	4	)	)	PUNCT
cana-666	135	5	552	552	NUM
cana-666	135	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-666	135	7	structured	structure	VERB
cana-666	135	8	data	datum	NOUN
cana-666	135	9	outside	outside	ADP
cana-666	135	10	sequential	sequential	ADJ
cana-666	135	11	data	datum	NOUN
cana-666	135	12	,	,	PUNCT
cana-666	135	13	such	such	ADJ
cana-666	135	14	as	as	ADP
cana-666	135	15	geographical	geographical	ADJ
cana-666	135	16	or	or	CCONJ
cana-666	135	17	pictorial	pictorial	ADJ
cana-666	135	18	.	.	PUNCT
cana-666	136	1	all	all	DET
cana-666	136	2	deep	deep	ADJ
cana-666	136	3	neural	neural	ADJ
cana-666	136	4	networks	network	NOUN
cana-666	136	5	,	,	PUNCT
cana-666	136	6	including	include	VERB
cana-666	136	7	rnns	rnn	NOUN
cana-666	136	8	,	,	PUNCT
cana-666	136	9	include	include	VERB
cana-666	136	10	identical	identical	ADJ
cana-666	136	11	input	input	NOUN
cana-666	136	12	and	and	CCONJ
cana-666	136	13	output	output	NOUN
cana-666	136	14	structures	structure	NOUN
cana-666	136	15	.	.	PUNCT
cana-666	137	1	within	within	ADP
cana-666	137	2	the	the	DET
cana-666	137	3	rnn	rnn	NOUN
cana-666	137	4	,	,	PUNCT
cana-666	137	5	each	each	DET
cana-666	137	6	time	time	NOUN
cana-666	137	7	step	step	NOUN
cana-666	137	8	is	be	AUX
cana-666	137	9	denoted	denote	VERB
cana-666	137	10	by	by	ADP
cana-666	137	11	a	a	DET
cana-666	137	12	distinct	distinct	ADJ
cana-666	137	13	unit	unit	NOUN
cana-666	137	14	that	that	PRON
cana-666	137	15	possesses	possess	VERB
cana-666	137	16	a	a	DET
cana-666	137	17	activation	activation	NOUN
cana-666	137	18	function	function	NOUN
cana-666	137	19	which	which	PRON
cana-666	137	20	is	be	AUX
cana-666	137	21	predetermined	predetermine	VERB
cana-666	137	22	.	.	PUNCT
cana-666	138	1	the	the	DET
cana-666	138	2	"	"	PUNCT
cana-666	138	3	hidden	hidden	ADJ
cana-666	138	4	state	state	NOUN
cana-666	138	5	"	"	PUNCT
cana-666	138	6	of	of	ADP
cana-666	138	7	a	a	DET
cana-666	138	8	unit	unit	NOUN
cana-666	138	9	refers	refer	VERB
cana-666	138	10	to	to	ADP
cana-666	138	11	its	its	PRON
cana-666	138	12	true	true	ADJ
cana-666	138	13	internal	internal	ADJ
cana-666	138	14	status	status	NOUN
cana-666	138	15	.	.	PUNCT
cana-666	139	1	the	the	DET
cana-666	139	2	latent	latent	PROPN
cana-666	139	3	state	state	NOUN
cana-666	139	4	refers	refer	VERB
cana-666	139	5	to	to	ADP
cana-666	139	6	the	the	DET
cana-666	139	7	past	past	ADJ
cana-666	139	8	data	datum	NOUN
cana-666	139	9	that	that	PRON
cana-666	139	10	the	the	DET
cana-666	139	11	network	network	NOUN
cana-666	139	12	has	have	VERB
cana-666	139	13	access	access	NOUN
cana-666	139	14	to	to	ADP
cana-666	139	15	at	at	ADP
cana-666	139	16	a	a	DET
cana-666	139	17	certain	certain	ADJ
cana-666	139	18	moment	moment	NOUN
cana-666	139	19	in	in	ADP
cana-666	139	20	time	time	NOUN
cana-666	139	21	.	.	PUNCT
cana-666	140	1	the	the	DET
cana-666	140	2	hidden	hidden	ADJ
cana-666	140	3	state	state	NOUN
cana-666	140	4	is	be	AUX
cana-666	140	5	modified	modify	VERB
cana-666	140	6	at	at	ADP
cana-666	140	7	each	each	DET
cana-666	140	8	time	time	NOUN
cana-666	140	9	interval	interval	NOUN
cana-666	140	10	to	to	PART
cana-666	140	11	represent	represent	VERB
cana-666	140	12	the	the	DET
cana-666	140	13	progression	progression	NOUN
cana-666	140	14	of	of	ADP
cana-666	140	15	the	the	DET
cana-666	140	16	network	network	NOUN
cana-666	140	17	's	's	PART
cana-666	140	18	comprehension	comprehension	NOUN
cana-666	140	19	of	of	ADP
cana-666	140	20	the	the	DET
cana-666	140	21	previous	previous	ADJ
cana-666	140	22	events	event	NOUN
cana-666	140	23	.	.	PUNCT
cana-666	141	1	the	the	DET
cana-666	141	2	subsequent	subsequent	ADJ
cana-666	141	3	recursive	recursive	ADJ
cana-666	141	4	equation	equation	NOUN
cana-666	141	5	is	be	AUX
cana-666	141	6	employed	employ	VERB
cana-666	141	7	to	to	PART
cana-666	141	8	modify	modify	VERB
cana-666	141	9	the	the	DET
cana-666	141	10	hidden	hidden	ADJ
cana-666	141	11	state	state	NOUN
cana-666	141	12	with	with	ADP
cana-666	141	13	the	the	DET
cana-666	141	14	ultimate	ultimate	ADJ
cana-666	141	15	anticipated	anticipate	VERB
cana-666	141	16	outcome	outcome	NOUN
cana-666	141	17	.	.	PUNCT
cana-666	142	1	ℎ𝑡=tanh𝑊ℎℎℎ𝑡−1+𝑊𝑥ℎ𝑋𝑡	ℎ𝑡=tanh𝑊ℎℎℎ𝑡−1+𝑊𝑥ℎ𝑋𝑡	PUNCT
cana-666	143	1	𝑌𝑡	𝑌𝑡	PROPN
cana-666	143	2	=	=	PUNCT
cana-666	144	1	𝑊ℎ𝑦ℎ𝑡	𝑊ℎ𝑦ℎ𝑡	PROPN
cana-666	144	2	where	where	SCONJ
cana-666	144	3	,	,	PUNCT
cana-666	144	4	why	why	SCONJ
cana-666	144	5	weight	weight	NOUN
cana-666	144	6	at	at	ADP
cana-666	144	7	output	output	NOUN
cana-666	144	8	layer	layer	NOUN
cana-666	144	9	,	,	PUNCT
cana-666	144	10	yt	yt	NOUN
cana-666	144	11	–	–	PUNCT
cana-666	144	12	output	output	NOUN
cana-666	144	13	,	,	PUNCT
cana-666	144	14	wxh	wxh	NOUN
cana-666	144	15	weight	weight	NOUN
cana-666	144	16	at	at	ADP
cana-666	144	17	input	input	NOUN
cana-666	144	18	neuron	neuron	PROPN
cana-666	144	19	,	,	PUNCT
cana-666	144	20	whh	whh	PROPN
cana-666	144	21	weight	weight	NOUN
cana-666	144	22	at	at	ADP
cana-666	144	23	recurrent	recurrent	ADJ
cana-666	144	24	neuron	neuron	NOUN
cana-666	144	25	.	.	PUNCT
cana-666	145	1	decision	decision	NOUN
cana-666	145	2	tree	tree	NOUN
cana-666	145	3	a	a	DET
cana-666	145	4	decision	decision	NOUN
cana-666	145	5	tree	tree	NOUN
cana-666	145	6	is	be	AUX
cana-666	145	7	a	a	DET
cana-666	145	8	classifier	classifier	NOUN
cana-666	145	9	in	in	ADP
cana-666	145	10	machine	machine	NOUN
cana-666	145	11	learning	learning	NOUN
cana-666	145	12	that	that	PRON
cana-666	145	13	uses	use	VERB
cana-666	145	14	a	a	DET
cana-666	145	15	tree	tree	NOUN
cana-666	145	16	structure	structure	NOUN
cana-666	145	17	.	.	PUNCT
cana-666	146	1	each	each	DET
cana-666	146	2	node	node	NOUN
cana-666	146	3	in	in	ADP
cana-666	146	4	the	the	DET
cana-666	146	5	tree	tree	NOUN
cana-666	146	6	symbolizes	symbolize	VERB
cana-666	146	7	a	a	DET
cana-666	146	8	feature	feature	NOUN
cana-666	146	9	in	in	ADP
cana-666	146	10	a	a	DET
cana-666	146	11	dataset	dataset	NOUN
cana-666	146	12	,	,	PUNCT
cana-666	146	13	while	while	SCONJ
cana-666	146	14	the	the	DET
cana-666	146	15	branches	branch	NOUN
cana-666	146	16	symbolize	symbolize	VERB
cana-666	146	17	decision	decision	NOUN
cana-666	146	18	rules	rule	NOUN
cana-666	146	19	and	and	CCONJ
cana-666	146	20	the	the	DET
cana-666	146	21	leaf	leaf	NOUN
cana-666	146	22	nodes	node	NOUN
cana-666	146	23	indicate	indicate	VERB
cana-666	146	24	the	the	DET
cana-666	146	25	outcomes	outcome	NOUN
cana-666	146	26	.	.	PUNCT
cana-666	147	1	the	the	DET
cana-666	147	2	objective	objective	NOUN
cana-666	147	3	is	be	AUX
cana-666	147	4	to	to	PART
cana-666	147	5	develop	develop	VERB
cana-666	147	6	a	a	DET
cana-666	147	7	model	model	NOUN
cana-666	147	8	that	that	PRON
cana-666	147	9	can	can	AUX
cana-666	147	10	predict	predict	VERB
cana-666	147	11	the	the	DET
cana-666	147	12	value	value	NOUN
cana-666	147	13	of	of	ADP
cana-666	147	14	a	a	DET
cana-666	147	15	target	target	NOUN
cana-666	147	16	variable	variable	NOUN
cana-666	147	17	by	by	ADP
cana-666	147	18	leveraging	leverage	VERB
cana-666	147	19	decision	decision	NOUN
cana-666	147	20	rules	rule	NOUN
cana-666	147	21	derived	derive	VERB
cana-666	147	22	from	from	ADP
cana-666	147	23	the	the	DET
cana-666	147	24	properties	property	NOUN
cana-666	147	25	of	of	ADP
cana-666	147	26	the	the	DET
cana-666	147	27	data	datum	NOUN
cana-666	147	28	.	.	PUNCT
cana-666	148	1	the	the	DET
cana-666	148	2	system	system	NOUN
cana-666	148	3	is	be	AUX
cana-666	148	4	comprised	comprise	VERB
cana-666	148	5	of	of	ADP
cana-666	148	6	two	two	NUM
cana-666	148	7	nodes	node	NOUN
cana-666	148	8	:	:	PUNCT
cana-666	148	9	the	the	DET
cana-666	148	10	leaf	leaf	NOUN
cana-666	148	11	node	node	NOUN
cana-666	148	12	and	and	CCONJ
cana-666	148	13	the	the	DET
cana-666	148	14	decision	decision	NOUN
cana-666	148	15	node	node	NOUN
cana-666	148	16	.	.	PUNCT
cana-666	149	1	when	when	SCONJ
cana-666	149	2	a	a	DET
cana-666	149	3	choice	choice	NOUN
cana-666	149	4	has	have	VERB
cana-666	149	5	to	to	PART
cana-666	149	6	be	be	AUX
cana-666	149	7	made	make	VERB
cana-666	149	8	,	,	PUNCT
cana-666	149	9	it	it	PRON
cana-666	149	10	is	be	AUX
cana-666	149	11	made	make	VERB
cana-666	149	12	at	at	ADP
cana-666	149	13	a	a	DET
cana-666	149	14	choice	choice	NOUN
cana-666	149	15	node	node	NOUN
cana-666	149	16	,	,	PUNCT
cana-666	149	17	which	which	PRON
cana-666	149	18	has	have	VERB
cana-666	149	19	numerous	numerous	ADJ
cana-666	149	20	branches	branch	NOUN
cana-666	149	21	,	,	PUNCT
cana-666	149	22	and	and	CCONJ
cana-666	149	23	the	the	DET
cana-666	149	24	results	result	NOUN
cana-666	149	25	are	be	AUX
cana-666	149	26	displayed	display	VERB
cana-666	149	27	at	at	ADP
cana-666	149	28	a	a	DET
cana-666	149	29	leaf	leaf	NOUN
cana-666	149	30	node	node	NOUN
cana-666	149	31	,	,	PUNCT
cana-666	149	32	which	which	PRON
cana-666	149	33	has	have	VERB
cana-666	149	34	no	no	DET
cana-666	149	35	branches	branch	NOUN
cana-666	149	36	.	.	PUNCT
cana-666	150	1	the	the	DET
cana-666	150	2	main	main	ADJ
cana-666	150	3	concept	concept	NOUN
cana-666	150	4	is	be	AUX
cana-666	150	5	to	to	PART
cana-666	150	6	partition	partition	VERB
cana-666	150	7	the	the	DET
cana-666	150	8	data	data	NOUN
cana-666	150	9	space	space	NOUN
cana-666	150	10	into	into	ADP
cana-666	150	11	areas	area	NOUN
cana-666	150	12	with	with	ADP
cana-666	150	13	low	low	ADJ
cana-666	150	14	density	density	NOUN
cana-666	150	15	and	and	CCONJ
cana-666	150	16	areas	area	NOUN
cana-666	150	17	with	with	ADP
cana-666	150	18	high	high	ADJ
cana-666	150	19	density	density	NOUN
cana-666	150	20	using	use	VERB
cana-666	150	21	a	a	DET
cana-666	150	22	decision	decision	NOUN
cana-666	150	23	tree	tree	NOUN
cana-666	150	24	.	.	PUNCT
cana-666	151	1	both	both	PRON
cana-666	151	2	binary	binary	NOUN
cana-666	151	3	and	and	CCONJ
cana-666	151	4	multiway	multiway	NOUN
cana-666	151	5	splits	split	NOUN
cana-666	151	6	are	be	AUX
cana-666	151	7	possible	possible	ADJ
cana-666	151	8	in	in	ADP
cana-666	151	9	a	a	DET
cana-666	151	10	binary	binary	ADJ
cana-666	151	11	tree	tree	NOUN
cana-666	151	12	.	.	PUNCT
cana-666	152	1	when	when	SCONJ
cana-666	152	2	data	datum	NOUN
cana-666	152	3	is	be	AUX
cana-666	152	4	not	not	PART
cana-666	152	5	sufficiently	sufficiently	ADV
cana-666	152	6	similar	similar	ADJ
cana-666	152	7	,	,	PUNCT
cana-666	152	8	the	the	DET
cana-666	152	9	algorithm	algorithm	NOUN
cana-666	152	10	will	will	AUX
cana-666	152	11	continue	continue	VERB
cana-666	152	12	to	to	PART
cana-666	152	13	divide	divide	VERB
cana-666	152	14	the	the	DET
cana-666	152	15	tree	tree	NOUN
cana-666	152	16	.	.	PUNCT
cana-666	153	1	the	the	DET
cana-666	153	2	final	final	ADJ
cana-666	153	3	output	output	NOUN
cana-666	153	4	of	of	ADP
cana-666	153	5	the	the	DET
cana-666	153	6	training	training	NOUN
cana-666	153	7	process	process	NOUN
cana-666	153	8	is	be	AUX
cana-666	153	9	a	a	DET
cana-666	153	10	decision	decision	NOUN
cana-666	153	11	tree	tree	NOUN
cana-666	153	12	that	that	PRON
cana-666	153	13	may	may	AUX
cana-666	153	14	be	be	AUX
cana-666	153	15	utilized	utilize	VERB
cana-666	153	16	to	to	PART
cana-666	153	17	generate	generate	VERB
cana-666	153	18	accurate	accurate	ADJ
cana-666	153	19	predictions	prediction	NOUN
cana-666	153	20	in	in	ADP
cana-666	153	21	a	a	DET
cana-666	153	22	given	give	VERB
cana-666	153	23	category	category	NOUN
cana-666	153	24	.	.	PUNCT
cana-666	154	1	this	this	DET
cana-666	154	2	approach	approach	NOUN
cana-666	154	3	is	be	AUX
cana-666	154	4	very	very	ADV
cana-666	154	5	dependent	dependent	ADJ
cana-666	154	6	on	on	ADP
cana-666	154	7	a	a	DET
cana-666	154	8	fundamental	fundamental	ADJ
cana-666	154	9	notion	notion	NOUN
cana-666	154	10	known	know	VERB
cana-666	154	11	as	as	ADP
cana-666	154	12	"	"	PUNCT
cana-666	154	13	entropy	entropy	PROPN
cana-666	154	14	"	"	PUNCT
cana-666	154	15	.	.	PUNCT
cana-666	155	1	its	its	PRON
cana-666	155	2	value	value	NOUN
cana-666	155	3	characterizes	characterize	VERB
cana-666	155	4	the	the	DET
cana-666	155	5	degree	degree	NOUN
cana-666	155	6	of	of	ADP
cana-666	155	7	randomness	randomness	NOUN
cana-666	155	8	of	of	ADP
cana-666	155	9	a	a	DET
cana-666	155	10	certain	certain	ADJ
cana-666	155	11	node	node	NOUN
cana-666	155	12	and	and	CCONJ
cana-666	155	13	it	it	PRON
cana-666	155	14	is	be	AUX
cana-666	155	15	computed	compute	VERB
cana-666	155	16	by	by	ADP
cana-666	155	17	using	use	VERB
cana-666	155	18	the	the	DET
cana-666	155	19	same	same	ADJ
cana-666	155	20	formula	formula	NOUN
cana-666	155	21	as	as	ADP
cana-666	155	22	the	the	DET
cana-666	155	23	standard	standard	ADJ
cana-666	155	24	deviation	deviation	NOUN
cana-666	155	25	.	.	PUNCT
cana-666	156	1	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	𝐸𝑛𝑡𝑟𝑜𝑝𝑦	NOUN
cana-666	156	2	=	=	NOUN
cana-666	156	3	∑−𝑝𝑖	∑−𝑝𝑖	NOUN
cana-666	156	4	∗	∗	NOUN
cana-666	156	5	𝑙𝑜𝑔2(𝑝𝑖	𝑙𝑜𝑔2(𝑝𝑖	NOUN
cana-666	156	6	)	)	PUNCT
cana-666	156	7	𝑐	𝑐	NOUN
cana-666	156	8	𝑖=1	𝑖=1	PUNCT
cana-666	156	9	random	random	ADJ
cana-666	156	10	forest	forest	NOUN
cana-666	156	11	random	random	ADJ
cana-666	156	12	forests	forest	NOUN
cana-666	156	13	are	be	AUX
cana-666	156	14	a	a	DET
cana-666	156	15	form	form	NOUN
cana-666	156	16	of	of	ADP
cana-666	156	17	meta	meta	ADJ
cana-666	156	18	-	-	PUNCT
cana-666	156	19	estimator	estimator	NOUN
cana-666	156	20	employed	employ	VERB
cana-666	156	21	in	in	ADP
cana-666	156	22	machine	machine	NOUN
cana-666	156	23	learning	learning	NOUN
cana-666	156	24	.	.	PUNCT
cana-666	157	1	it	it	PRON
cana-666	157	2	is	be	AUX
cana-666	157	3	created	create	VERB
cana-666	157	4	by	by	ADP
cana-666	157	5	training	train	VERB
cana-666	157	6	several	several	ADJ
cana-666	157	7	decision	decision	NOUN
cana-666	157	8	tree	tree	NOUN
cana-666	157	9	classifiers	classifier	NOUN
cana-666	157	10	on	on	ADP
cana-666	157	11	various	various	ADJ
cana-666	157	12	subsets	subset	NOUN
cana-666	157	13	of	of	ADP
cana-666	157	14	the	the	DET
cana-666	157	15	dataset	dataset	NOUN
cana-666	157	16	.	.	PUNCT
cana-666	158	1	the	the	DET
cana-666	158	2	predictions	prediction	NOUN
cana-666	158	3	of	of	ADP
cana-666	158	4	these	these	DET
cana-666	158	5	classifiers	classifier	NOUN
cana-666	158	6	are	be	AUX
cana-666	158	7	then	then	ADV
cana-666	158	8	averaged	average	VERB
cana-666	158	9	to	to	PART
cana-666	158	10	enhance	enhance	VERB
cana-666	158	11	prediction	prediction	NOUN
cana-666	158	12	accuracy	accuracy	NOUN
cana-666	158	13	and	and	CCONJ
cana-666	158	14	prevent	prevent	VERB
cana-666	158	15	overfitting	overfitting	NOUN
cana-666	158	16	.	.	PUNCT
cana-666	159	1	to	to	PART
cana-666	159	2	improve	improve	VERB
cana-666	159	3	the	the	DET
cana-666	159	4	accuracy	accuracy	NOUN
cana-666	159	5	of	of	ADP
cana-666	159	6	a	a	DET
cana-666	159	7	dataset	dataset	NOUN
cana-666	159	8	,	,	PUNCT
cana-666	159	9	one	one	PRON
cana-666	159	10	may	may	AUX
cana-666	159	11	utilize	utilize	VERB
cana-666	159	12	a	a	DET
cana-666	159	13	classifier	classifier	NOUN
cana-666	159	14	such	such	ADJ
cana-666	159	15	as	as	ADP
cana-666	159	16	random	random	ADJ
cana-666	159	17	forest	forest	NOUN
cana-666	159	18	.	.	PUNCT
cana-666	160	1	this	this	DET
cana-666	160	2	classifier	classifier	NOUN
cana-666	160	3	employs	employ	VERB
cana-666	160	4	an	an	DET
cana-666	160	5	ensemble	ensemble	ADJ
cana-666	160	6	approach	approach	NOUN
cana-666	160	7	by	by	ADP
cana-666	160	8	aggregating	aggregate	VERB
cana-666	160	9	the	the	DET
cana-666	160	10	predictions	prediction	NOUN
cana-666	160	11	of	of	ADP
cana-666	160	12	many	many	ADJ
cana-666	160	13	decision	decision	NOUN
cana-666	160	14	trees	tree	NOUN
cana-666	160	15	,	,	PUNCT
cana-666	160	16	each	each	PRON
cana-666	160	17	trained	train	VERB
cana-666	160	18	on	on	ADP
cana-666	160	19	different	different	ADJ
cana-666	160	20	subsets	subset	NOUN
cana-666	160	21	of	of	ADP
cana-666	160	22	the	the	DET
cana-666	160	23	dataset	dataset	NOUN
cana-666	160	24	.	.	PUNCT
cana-666	161	1	it	it	PRON
cana-666	161	2	combines	combine	VERB
cana-666	161	3	many	many	ADJ
cana-666	161	4	classifiers	classifier	NOUN
cana-666	161	5	to	to	PART
cana-666	161	6	address	address	VERB
cana-666	161	7	difficult	difficult	ADJ
cana-666	161	8	issues	issue	NOUN
cana-666	161	9	and	and	CCONJ
cana-666	161	10	improve	improve	VERB
cana-666	161	11	the	the	DET
cana-666	161	12	accuracy	accuracy	NOUN
cana-666	161	13	of	of	ADP
cana-666	161	14	the	the	DET
cana-666	161	15	model	model	NOUN
cana-666	161	16	.	.	PUNCT
cana-666	162	1	the	the	DET
cana-666	162	2	procedures	procedure	NOUN
cana-666	162	3	necessary	necessary	ADJ
cana-666	162	4	for	for	ADP
cana-666	162	5	putting	put	VERB
cana-666	162	6	the	the	DET
cana-666	162	7	random	random	ADJ
cana-666	162	8	forest	forest	NOUN
cana-666	162	9	algorithm	algorithm	NOUN
cana-666	162	10	into	into	ADP
cana-666	162	11	practice	practice	NOUN
cana-666	162	12	are	be	AUX
cana-666	162	13	.	.	PUNCT
cana-666	163	1	step	step	NOUN
cana-666	163	2	1	1	NUM
cana-666	163	3	:	:	PUNCT
cana-666	163	4	subset	subset	NOUN
cana-666	163	5	of	of	ADP
cana-666	163	6	the	the	DET
cana-666	163	7	features	feature	NOUN
cana-666	163	8	data	datum	NOUN
cana-666	163	9	utilized	utilize	VERB
cana-666	163	10	for	for	ADP
cana-666	163	11	each	each	DET
cana-666	163	12	decision	decision	NOUN
cana-666	163	13	tree	tree	NOUN
cana-666	163	14	.	.	PUNCT
cana-666	164	1	a	a	DET
cana-666	164	2	random	random	ADJ
cana-666	164	3	sample	sample	NOUN
cana-666	164	4	of	of	ADP
cana-666	164	5	n	n	PROPN
cana-666	164	6	records	record	NOUN
cana-666	164	7	is	be	AUX
cana-666	164	8	taken	take	VERB
cana-666	164	9	from	from	ADP
cana-666	164	10	a	a	DET
cana-666	164	11	collected	collect	VERB
cana-666	164	12	data	datum	NOUN
cana-666	164	13	consisting	consist	VERB
cana-666	164	14	of	of	ADP
cana-666	164	15	k	k	PROPN
cana-666	164	16	records	record	NOUN
cana-666	164	17	,	,	PUNCT
cana-666	164	18	each	each	PRON
cana-666	164	19	with	with	ADP
cana-666	164	20	m	m	NOUN
cana-666	164	21	attributes	attribute	NOUN
cana-666	164	22	.	.	PUNCT
cana-666	165	1	step	step	NOUN
cana-666	165	2	2	2	NUM
cana-666	165	3	:	:	PUNCT
cana-666	165	4	each	each	DET
cana-666	165	5	sample	sample	NOUN
cana-666	165	6	has	have	VERB
cana-666	165	7	its	its	PRON
cana-666	165	8	own	own	ADJ
cana-666	165	9	set	set	NOUN
cana-666	165	10	of	of	ADP
cana-666	165	11	decision	decision	NOUN
cana-666	165	12	trees	tree	NOUN
cana-666	165	13	built	build	VERB
cana-666	165	14	just	just	ADV
cana-666	165	15	for	for	ADP
cana-666	165	16	it	it	PRON
cana-666	165	17	.	.	PUNCT
cana-666	166	1	communications	communication	NOUN
cana-666	166	2	on	on	ADP
cana-666	166	3	applied	apply	VERB
cana-666	166	4	nonlinear	nonlinear	ADJ
cana-666	166	5	analysis	analysis	NOUN
cana-666	166	6	issn	issn	NOUN
cana-666	166	7	:	:	PUNCT
cana-666	166	8	1074	1074	NUM
cana-666	166	9	-	-	PUNCT
cana-666	166	10	133x	133x	NUM
cana-666	166	11	vol	vol	NOUN
cana-666	166	12	31	31	NUM
cana-666	166	13	no	no	NOUN
cana-666	166	14	.	.	PUNCT
cana-666	167	1	2s	2s	NUM
cana-666	167	2	(	(	PUNCT
cana-666	167	3	2024	2024	NUM
cana-666	167	4	)	)	PUNCT
cana-666	167	5	553	553	NUM
cana-666	167	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	167	7	step	step	NOUN
cana-666	167	8	3	3	NUM
cana-666	167	9	:	:	PUNCT
cana-666	167	10	generate	generate	VERB
cana-666	167	11	an	an	DET
cana-666	167	12	output	output	NOUN
cana-666	167	13	on	on	ADP
cana-666	167	14	each	each	DET
cana-666	167	15	decision	decision	NOUN
cana-666	167	16	tree	tree	NOUN
cana-666	167	17	.	.	PUNCT
cana-666	168	1	step	step	VERB
cana-666	168	2	4	4	NUM
cana-666	168	3	:	:	PUNCT
cana-666	168	4	for	for	ADP
cana-666	168	5	both	both	CCONJ
cana-666	168	6	regression	regression	NOUN
cana-666	168	7	and	and	CCONJ
cana-666	168	8	classification	classification	NOUN
cana-666	168	9	,	,	PUNCT
cana-666	168	10	the	the	DET
cana-666	168	11	final	final	ADJ
cana-666	168	12	result	result	NOUN
cana-666	168	13	is	be	AUX
cana-666	168	14	determined	determine	VERB
cana-666	168	15	by	by	ADP
cana-666	168	16	majority	majority	NOUN
cana-666	168	17	vote	vote	NOUN
cana-666	168	18	or	or	CCONJ
cana-666	168	19	average	average	ADJ
cana-666	168	20	.	.	PUNCT
cana-666	169	1	e.	e.	PROPN
cana-666	169	2	model	model	PROPN
cana-666	169	3	tuning	tuning	NOUN
cana-666	169	4	and	and	CCONJ
cana-666	169	5	evaluation	evaluation	NOUN
cana-666	169	6	the	the	DET
cana-666	169	7	proposed	propose	VERB
cana-666	169	8	experiment	experiment	NOUN
cana-666	169	9	utilizes	utilize	VERB
cana-666	169	10	the	the	DET
cana-666	169	11	cross	cross	ADJ
cana-666	169	12	-	-	ADJ
cana-666	169	13	k	k	ADJ
cana-666	169	14	-	-	ADJ
cana-666	169	15	fold	fold	ADJ
cana-666	169	16	validation	validation	NOUN
cana-666	169	17	approach	approach	NOUN
cana-666	169	18	.	.	PUNCT
cana-666	170	1	k	k	ADJ
cana-666	170	2	-	-	ADJ
cana-666	170	3	fold	fold	ADJ
cana-666	170	4	cross	cross	NOUN
cana-666	170	5	-	-	NOUN
cana-666	170	6	validation	validation	NOUN
cana-666	170	7	is	be	AUX
cana-666	170	8	a	a	DET
cana-666	170	9	technique	technique	NOUN
cana-666	170	10	used	use	VERB
cana-666	170	11	to	to	PART
cana-666	170	12	assess	assess	VERB
cana-666	170	13	the	the	DET
cana-666	170	14	efficacy	efficacy	NOUN
cana-666	170	15	of	of	ADP
cana-666	170	16	prediction	prediction	NOUN
cana-666	170	17	models	model	NOUN
cana-666	170	18	.	.	PUNCT
cana-666	171	1	the	the	DET
cana-666	171	2	original	original	ADJ
cana-666	171	3	dataset	dataset	NOUN
cana-666	171	4	is	be	AUX
cana-666	171	5	divided	divide	VERB
cana-666	171	6	into	into	ADP
cana-666	171	7	k	k	PROPN
cana-666	171	8	folds	fold	NOUN
cana-666	171	9	or	or	CCONJ
cana-666	171	10	subsets	subset	NOUN
cana-666	171	11	.	.	PUNCT
cana-666	172	1	for	for	ADP
cana-666	172	2	each	each	PRON
cana-666	172	3	of	of	ADP
cana-666	172	4	the	the	DET
cana-666	172	5	k	k	PROPN
cana-666	172	6	iterations	iteration	NOUN
cana-666	172	7	in	in	ADP
cana-666	172	8	the	the	DET
cana-666	172	9	training	training	NOUN
cana-666	172	10	and	and	CCONJ
cana-666	172	11	evaluation	evaluation	NOUN
cana-666	172	12	process	process	NOUN
cana-666	172	13	,	,	PUNCT
cana-666	172	14	a	a	DET
cana-666	172	15	distinct	distinct	ADJ
cana-666	172	16	fold	fold	NOUN
cana-666	172	17	is	be	AUX
cana-666	172	18	used	use	VERB
cana-666	172	19	as	as	ADP
cana-666	172	20	the	the	DET
cana-666	172	21	validation	validation	NOUN
cana-666	172	22	set	set	NOUN
cana-666	172	23	.	.	PUNCT
cana-666	173	1	the	the	DET
cana-666	173	2	estimated	estimate	VERB
cana-666	173	3	generalization	generalization	NOUN
cana-666	173	4	performance	performance	NOUN
cana-666	173	5	of	of	ADP
cana-666	173	6	a	a	DET
cana-666	173	7	model	model	NOUN
cana-666	173	8	is	be	AUX
cana-666	173	9	determined	determine	VERB
cana-666	173	10	by	by	ADP
cana-666	173	11	calculating	calculate	VERB
cana-666	173	12	the	the	DET
cana-666	173	13	average	average	NOUN
cana-666	173	14	of	of	ADP
cana-666	173	15	the	the	DET
cana-666	173	16	performance	performance	NOUN
cana-666	173	17	metrics	metric	NOUN
cana-666	173	18	obtained	obtain	VERB
cana-666	173	19	from	from	ADP
cana-666	173	20	all	all	DET
cana-666	173	21	folds	fold	NOUN
cana-666	173	22	.	.	PUNCT
cana-666	174	1	this	this	DET
cana-666	174	2	approach	approach	NOUN
cana-666	174	3	enables	enable	VERB
cana-666	174	4	enhanced	enhanced	ADJ
cana-666	174	5	model	model	NOUN
cana-666	174	6	evaluation	evaluation	NOUN
cana-666	174	7	,	,	PUNCT
cana-666	174	8	selection	selection	NOUN
cana-666	174	9	,	,	PUNCT
cana-666	174	10	and	and	CCONJ
cana-666	174	11	hyperparameter	hyperparameter	NOUN
cana-666	174	12	tweaking	tweaking	NOUN
cana-666	174	13	.	.	PUNCT
cana-666	175	1	grid	grid	NOUN
cana-666	175	2	search	search	NOUN
cana-666	175	3	was	be	AUX
cana-666	175	4	employed	employ	VERB
cana-666	175	5	to	to	PART
cana-666	175	6	systematically	systematically	ADV
cana-666	175	7	explore	explore	VERB
cana-666	175	8	all	all	DET
cana-666	175	9	potential	potential	ADJ
cana-666	175	10	combinations	combination	NOUN
cana-666	175	11	of	of	ADP
cana-666	175	12	hyperparameters	hyperparameter	NOUN
cana-666	175	13	,	,	PUNCT
cana-666	175	14	as	as	SCONJ
cana-666	175	15	each	each	DET
cana-666	175	16	machine	machine	NOUN
cana-666	175	17	learning	learn	VERB
cana-666	175	18	classifier	classifier	NOUN
cana-666	175	19	possesses	possess	VERB
cana-666	175	20	its	its	PRON
cana-666	175	21	own	own	ADJ
cana-666	175	22	distinct	distinct	ADJ
cana-666	175	23	set	set	NOUN
cana-666	175	24	of	of	ADP
cana-666	175	25	tuning	tune	VERB
cana-666	175	26	parameters	parameter	NOUN
cana-666	175	27	.	.	PUNCT
cana-666	176	1	a	a	DET
cana-666	176	2	series	series	NOUN
cana-666	176	3	of	of	ADP
cana-666	176	4	tests	test	NOUN
cana-666	176	5	were	be	AUX
cana-666	176	6	conducted	conduct	VERB
cana-666	176	7	to	to	PART
cana-666	176	8	evaluate	evaluate	VERB
cana-666	176	9	the	the	DET
cana-666	176	10	most	most	ADV
cana-666	176	11	effective	effective	ADJ
cana-666	176	12	strategy	strategy	NOUN
cana-666	176	13	for	for	ADP
cana-666	176	14	reducing	reduce	VERB
cana-666	176	15	the	the	DET
cana-666	176	16	feature	feature	NOUN
cana-666	176	17	space	space	NOUN
cana-666	176	18	in	in	ADP
cana-666	176	19	each	each	DET
cana-666	176	20	modified	modify	VERB
cana-666	176	21	learning	learn	VERB
cana-666	176	22	classifier	classifier	NOUN
cana-666	176	23	.	.	PUNCT
cana-666	177	1	the	the	DET
cana-666	177	2	results	result	NOUN
cana-666	177	3	are	be	AUX
cana-666	177	4	put	put	VERB
cana-666	177	5	to	to	PART
cana-666	177	6	use	use	VERB
cana-666	177	7	by	by	ADP
cana-666	177	8	comparing	compare	VERB
cana-666	177	9	the	the	DET
cana-666	177	10	performance	performance	NOUN
cana-666	177	11	of	of	ADP
cana-666	177	12	linked	link	VERB
cana-666	177	13	systems	system	NOUN
cana-666	177	14	with	with	ADP
cana-666	177	15	those	those	PRON
cana-666	177	16	of	of	ADP
cana-666	177	17	the	the	DET
cana-666	177	18	various	various	ADJ
cana-666	177	19	output	output	NOUN
cana-666	177	20	learning	learning	NOUN
cana-666	177	21	models	model	NOUN
cana-666	177	22	.	.	PUNCT
cana-666	178	1	because	because	SCONJ
cana-666	178	2	it	it	PRON
cana-666	178	3	treats	treat	VERB
cana-666	178	4	each	each	DET
cana-666	178	5	category	category	NOUN
cana-666	178	6	the	the	DET
cana-666	178	7	same	same	ADJ
cana-666	178	8	,	,	PUNCT
cana-666	178	9	the	the	DET
cana-666	178	10	macro	macro	NOUN
cana-666	178	11	-	-	NOUN
cana-666	178	12	average	average	ADJ
cana-666	178	13	is	be	AUX
cana-666	178	14	the	the	DET
cana-666	178	15	recommended	recommend	VERB
cana-666	178	16	measure	measure	NOUN
cana-666	178	17	.	.	PUNCT
cana-666	179	1	in	in	ADP
cana-666	179	2	contrast	contrast	NOUN
cana-666	179	3	to	to	ADP
cana-666	179	4	a	a	DET
cana-666	179	5	micro	micro	NOUN
cana-666	179	6	-	-	NOUN
cana-666	179	7	average	average	ADJ
cana-666	179	8	,	,	PUNCT
cana-666	179	9	which	which	PRON
cana-666	179	10	combines	combine	VERB
cana-666	179	11	all	all	DET
cana-666	179	12	classes	class	NOUN
cana-666	179	13	'	'	PART
cana-666	179	14	contributions	contribution	NOUN
cana-666	179	15	into	into	ADP
cana-666	179	16	one	one	NUM
cana-666	179	17	score	score	NOUN
cana-666	179	18	,	,	PUNCT
cana-666	179	19	this	this	DET
cana-666	179	20	method	method	NOUN
cana-666	179	21	calculates	calculate	VERB
cana-666	179	22	the	the	DET
cana-666	179	23	f1	f1	PROPN
cana-666	179	24	metric	metric	NOUN
cana-666	179	25	for	for	ADP
cana-666	179	26	each	each	DET
cana-666	179	27	class	class	NOUN
cana-666	179	28	separately	separately	ADV
cana-666	179	29	before	before	ADP
cana-666	179	30	averaging	average	VERB
cana-666	179	31	them	they	PRON
cana-666	179	32	.	.	PUNCT
cana-666	180	1	f.	f.	PROPN
cana-666	180	2	algorithm	algorithm	PROPN
cana-666	180	3	steps	step	VERB
cana-666	180	4	input	input	NOUN
cana-666	180	5	:	:	PUNCT
cana-666	180	6	network	network	NOUN
cana-666	180	7	csv	csv	VERB
cana-666	180	8	files	file	NOUN
cana-666	180	9	from	from	ADP
cana-666	180	10	monday	monday	PROPN
cana-666	180	11	to	to	ADP
cana-666	180	12	friday	friday	PROPN
cana-666	180	13	working	work	VERB
cana-666	180	14	hours	hour	NOUN
cana-666	180	15	output	output	NOUN
cana-666	180	16	:	:	PUNCT
cana-666	180	17	attack	attack	NOUN
cana-666	180	18	types	type	NOUN
cana-666	180	19	–	–	PUNCT
cana-666	180	20	{	{	PUNCT
cana-666	180	21	attacks	attack	NOUN
cana-666	180	22	(	(	PUNCT
cana-666	180	23	bot	bot	NOUN
cana-666	180	24	,	,	PUNCT
cana-666	180	25	brute	brute	ADJ
cana-666	180	26	-	-	PUNCT
cana-666	180	27	force	force	NOUN
cana-666	180	28	,	,	PUNCT
cana-666	180	29	dos	do	NOUN
cana-666	180	30	,	,	PUNCT
cana-666	180	31	infiltration	infiltration	NOUN
cana-666	180	32	,	,	PUNCT
cana-666	180	33	port	port	NOUN
cana-666	180	34	-	-	PUNCT
cana-666	180	35	scan	scan	ADJ
cana-666	180	36	,	,	PUNCT
cana-666	180	37	webattack	webattack	NOUN
cana-666	180	38	)	)	PUNCT
cana-666	180	39	or	or	CCONJ
cana-666	180	40	benign	benign	ADJ
cana-666	180	41	}	}	PUNCT
cana-666	180	42	procedure	procedure	NOUN
cana-666	180	43	:	:	PUNCT
cana-666	180	44	1	1	X
cana-666	180	45	.	.	X
cana-666	180	46	load	load	NOUN
cana-666	180	47	all	all	DET
cana-666	180	48	*	*	PUNCT
cana-666	180	49	.csv	.csv	ADJ
cana-666	180	50	file	file	NOUN
cana-666	180	51	of	of	ADP
cana-666	180	52	attacks	attack	NOUN
cana-666	180	53	2	2	NUM
cana-666	180	54	.	.	PUNCT
cana-666	181	1	combine	combine	VERB
cana-666	181	2	all	all	DET
cana-666	181	3	attacks	attack	NOUN
cana-666	181	4	data	datum	NOUN
cana-666	181	5	into	into	ADP
cana-666	181	6	single	single	ADJ
cana-666	181	7	*	*	ADJ
cana-666	181	8	.csv	.csv	ADJ
cana-666	181	9	file	file	NOUN
cana-666	181	10	3	3	NUM
cana-666	181	11	.	.	NOUN
cana-666	181	12	apply	apply	VERB
cana-666	181	13	data	datum	NOUN
cana-666	181	14	pre	pre	ADJ
cana-666	181	15	-	-	ADJ
cana-666	181	16	processing	processing	ADJ
cana-666	181	17	4	4	NUM
cana-666	181	18	.	.	NOUN
cana-666	181	19	apply	apply	VERB
cana-666	181	20	feature	feature	NOUN
cana-666	181	21	transformation	transformation	NOUN
cana-666	181	22	,	,	PUNCT
cana-666	181	23	scaling	scaling	NOUN
cana-666	181	24	,	,	PUNCT
cana-666	181	25	label	label	NOUN
cana-666	181	26	encoding	encode	VERB
cana-666	181	27	5	5	NUM
cana-666	181	28	.	.	PUNCT
cana-666	182	1	feature	feature	NOUN
cana-666	182	2	dataset	dataset	NOUN
cana-666	182	3	splitting	splitting	NOUN
cana-666	182	4	into	into	ADP
cana-666	182	5	train	train	NOUN
cana-666	182	6	and	and	CCONJ
cana-666	182	7	test	test	NOUN
cana-666	182	8	set	set	VERB
cana-666	182	9	6	6	NUM
cana-666	182	10	.	.	PUNCT
cana-666	182	11	initialize	initialize	VERB
cana-666	182	12	the	the	DET
cana-666	182	13	parameters	parameter	NOUN
cana-666	182	14	for	for	ADP
cana-666	182	15	dl	dl	PROPN
cana-666	182	16	/	/	SYM
cana-666	182	17	ml	ml	NOUN
cana-666	182	18	algorithms	algorithm	NOUN
cana-666	182	19	7	7	NUM
cana-666	182	20	.	.	PUNCT
cana-666	182	21	train	train	NOUN
cana-666	182	22	and	and	CCONJ
cana-666	182	23	validate	validate	VERB
cana-666	182	24	the	the	DET
cana-666	182	25	model	model	NOUN
cana-666	182	26	with	with	ADP
cana-666	182	27	fine	fine	ADJ
cana-666	182	28	tuning	tuning	NOUN
cana-666	182	29	of	of	ADP
cana-666	182	30	hyperparameters	hyperparameter	NOUN
cana-666	182	31	and	and	CCONJ
cana-666	182	32	k	k	ADJ
cana-666	182	33	-	-	ADJ
cana-666	182	34	fold	fold	ADJ
cana-666	182	35	cross	cross	NOUN
cana-666	182	36	validation	validation	NOUN
cana-666	182	37	8	8	NUM
cana-666	182	38	.	.	PUNCT
cana-666	183	1	prepare	prepare	VERB
cana-666	183	2	trained	train	VERB
cana-666	183	3	model	model	NOUN
cana-666	183	4	for	for	ADP
cana-666	183	5	each	each	DET
cana-666	183	6	algorithm	algorithm	NOUN
cana-666	183	7	9	9	NUM
cana-666	183	8	.	.	X
cana-666	183	9	load	load	NOUN
cana-666	183	10	test	test	NOUN
cana-666	183	11	feature	feature	NOUN
cana-666	183	12	datasets	dataset	NOUN
cana-666	183	13	10	10	NUM
cana-666	183	14	.	.	PUNCT
cana-666	184	1	evaluation	evaluation	NOUN
cana-666	184	2	of	of	ADP
cana-666	184	3	results	result	NOUN
cana-666	184	4	to	to	PART
cana-666	184	5	predict	predict	VERB
cana-666	184	6	the	the	DET
cana-666	184	7	attack	attack	NOUN
cana-666	184	8	types	type	NOUN
cana-666	184	9	communications	communication	NOUN
cana-666	184	10	on	on	ADP
cana-666	184	11	applied	apply	VERB
cana-666	184	12	nonlinear	nonlinear	ADJ
cana-666	184	13	analysis	analysis	NOUN
cana-666	184	14	issn	issn	NOUN
cana-666	184	15	:	:	PUNCT
cana-666	184	16	1074	1074	NUM
cana-666	184	17	-	-	PUNCT
cana-666	184	18	133x	133x	NUM
cana-666	184	19	vol	vol	NOUN
cana-666	184	20	31	31	NUM
cana-666	184	21	no	no	NOUN
cana-666	184	22	.	.	PUNCT
cana-666	185	1	2s	2s	NUM
cana-666	185	2	(	(	PUNCT
cana-666	185	3	2024	2024	NUM
cana-666	185	4	)	)	PUNCT
cana-666	185	5	554	554	NUM
cana-666	185	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	185	7	3	3	X
cana-666	185	8	.	.	PUNCT
cana-666	185	9	experimental	experimental	ADJ
cana-666	185	10	result	result	NOUN
cana-666	185	11	and	and	CCONJ
cana-666	185	12	discussion	discussion	NOUN
cana-666	185	13	a.	a.	NOUN
cana-666	185	14	experimental	experimental	ADJ
cana-666	185	15	setup	setup	NOUN
cana-666	185	16	the	the	DET
cana-666	185	17	experimental	experimental	ADJ
cana-666	185	18	evaluation	evaluation	NOUN
cana-666	185	19	conducted	conduct	VERB
cana-666	185	20	on	on	ADP
cana-666	185	21	a	a	DET
cana-666	185	22	system	system	NOUN
cana-666	185	23	with	with	ADP
cana-666	185	24	mac	mac	PROPN
cana-666	185	25	os	os	PROPN
cana-666	185	26	ventura-13.4.1	ventura-13.4.1	PROPN
cana-666	185	27	,	,	PUNCT
cana-666	185	28	8	8	NUM
cana-666	185	29	gb	gb	NOUN
cana-666	185	30	ram	ram	NOUN
cana-666	185	31	and	and	CCONJ
cana-666	185	32	mac	mac	NOUN
cana-666	185	33	operating	operating	NOUN
cana-666	185	34	system	system	NOUN
cana-666	185	35	.	.	PUNCT
cana-666	186	1	the	the	DET
cana-666	186	2	cicids	cicid	NOUN
cana-666	186	3	2017	2017	NUM
cana-666	186	4	is	be	AUX
cana-666	186	5	the	the	DET
cana-666	186	6	benchmark	benchmark	NOUN
cana-666	186	7	dataset	dataset	NOUN
cana-666	186	8	utilized	utilize	VERB
cana-666	186	9	for	for	ADP
cana-666	186	10	all	all	DET
cana-666	186	11	classification	classification	NOUN
cana-666	186	12	experiments	experiment	NOUN
cana-666	186	13	to	to	PART
cana-666	186	14	perform	perform	VERB
cana-666	186	15	multiclass	multiclass	ADJ
cana-666	186	16	intrusion	intrusion	NOUN
cana-666	186	17	classification	classification	NOUN
cana-666	186	18	.	.	PUNCT
cana-666	187	1	this	this	DET
cana-666	187	2	research	research	NOUN
cana-666	187	3	was	be	AUX
cana-666	187	4	conducted	conduct	VERB
cana-666	187	5	using	use	VERB
cana-666	187	6	the	the	DET
cana-666	187	7	pycharm	pycharm	NOUN
cana-666	187	8	integrated	integrate	VERB
cana-666	187	9	development	development	NOUN
cana-666	187	10	environment	environment	NOUN
cana-666	187	11	(	(	PUNCT
cana-666	187	12	ide	ide	NOUN
cana-666	187	13	)	)	PUNCT
cana-666	187	14	software	software	NOUN
cana-666	187	15	,	,	PUNCT
cana-666	187	16	which	which	PRON
cana-666	187	17	was	be	AUX
cana-666	187	18	built	build	VERB
cana-666	187	19	using	use	VERB
cana-666	187	20	the	the	DET
cana-666	187	21	anaconda	anaconda	NOUN
cana-666	187	22	distribution	distribution	NOUN
cana-666	187	23	and	and	CCONJ
cana-666	187	24	programmed	program	VERB
cana-666	187	25	in	in	ADP
cana-666	187	26	python	python	PROPN
cana-666	187	27	.	.	PUNCT
cana-666	188	1	the	the	DET
cana-666	188	2	open	open	ADJ
cana-666	188	3	-	-	PUNCT
cana-666	188	4	source	source	NOUN
cana-666	188	5	libraries	library	NOUN
cana-666	188	6	scikit	scikit	NOUN
cana-666	188	7	-	-	PUNCT
cana-666	188	8	learn	learn	VERB
cana-666	188	9	,	,	PUNCT
cana-666	188	10	tensorflow	tensorflow	NOUN
cana-666	188	11	with	with	ADP
cana-666	188	12	keras	keras	PROPN
cana-666	188	13	employed	employ	VERB
cana-666	188	14	for	for	ADP
cana-666	188	15	the	the	DET
cana-666	188	16	construction	construction	NOUN
cana-666	188	17	and	and	CCONJ
cana-666	188	18	assessment	assessment	NOUN
cana-666	188	19	of	of	ADP
cana-666	188	20	the	the	DET
cana-666	188	21	classifier	classifier	NOUN
cana-666	188	22	.	.	PUNCT
cana-666	189	1	b.	b.	PROPN
cana-666	189	2	evaluation	evaluation	NOUN
cana-666	189	3	metrics	metric	NOUN
cana-666	189	4	since	since	SCONJ
cana-666	189	5	the	the	DET
cana-666	189	6	cicids2017	cicids2017	PROPN
cana-666	189	7	dataset	dataset	NOUN
cana-666	189	8	is	be	AUX
cana-666	189	9	distributed	distribute	VERB
cana-666	189	10	in	in	ADP
cana-666	189	11	several	several	ADJ
cana-666	189	12	different	different	ADJ
cana-666	189	13	csv	csv	NOUN
cana-666	189	14	files	file	NOUN
cana-666	189	15	,	,	PUNCT
cana-666	189	16	we	we	PRON
cana-666	189	17	began	begin	VERB
cana-666	189	18	our	our	PRON
cana-666	189	19	preparation	preparation	NOUN
cana-666	189	20	by	by	ADP
cana-666	189	21	combining	combine	VERB
cana-666	189	22	all	all	PRON
cana-666	189	23	of	of	ADP
cana-666	189	24	the	the	DET
cana-666	189	25	files	file	NOUN
cana-666	189	26	into	into	ADP
cana-666	189	27	a	a	DET
cana-666	189	28	single	single	ADJ
cana-666	189	29	csv	csv	NOUN
cana-666	189	30	,	,	PUNCT
cana-666	189	31	cleaning	clean	VERB
cana-666	189	32	up	up	ADP
cana-666	189	33	the	the	DET
cana-666	189	34	column	column	NOUN
cana-666	189	35	names	name	NOUN
cana-666	189	36	by	by	ADP
cana-666	189	37	deleting	delete	VERB
cana-666	189	38	any	any	DET
cana-666	189	39	characters	character	NOUN
cana-666	189	40	that	that	PRON
cana-666	189	41	did	do	AUX
cana-666	189	42	n't	not	PART
cana-666	189	43	belong	belong	VERB
cana-666	189	44	,	,	PUNCT
cana-666	189	45	and	and	CCONJ
cana-666	189	46	converting	convert	VERB
cana-666	189	47	all	all	DET
cana-666	189	48	textual	textual	ADJ
cana-666	189	49	information	information	NOUN
cana-666	189	50	to	to	ADP
cana-666	189	51	numerical	numerical	ADJ
cana-666	189	52	form	form	NOUN
cana-666	189	53	.	.	PUNCT
cana-666	190	1	records	record	NOUN
cana-666	190	2	that	that	PRON
cana-666	190	3	had	have	VERB
cana-666	190	4	the	the	DET
cana-666	190	5	phrase	phrase	NOUN
cana-666	190	6	"	"	PUNCT
cana-666	190	7	infinity	infinity	NOUN
cana-666	190	8	"	"	PUNCT
cana-666	190	9	in	in	ADP
cana-666	190	10	the	the	DET
cana-666	190	11	middle	middle	NOUN
cana-666	190	12	of	of	ADP
cana-666	190	13	a	a	DET
cana-666	190	14	series	series	NOUN
cana-666	190	15	of	of	ADP
cana-666	190	16	numbers	number	NOUN
cana-666	190	17	were	be	AUX
cana-666	190	18	deemed	deem	VERB
cana-666	190	19	to	to	PART
cana-666	190	20	be	be	AUX
cana-666	190	21	irrelevant	irrelevant	ADJ
cana-666	190	22	,	,	PUNCT
cana-666	190	23	therefore	therefore	ADV
cana-666	190	24	they	they	PRON
cana-666	190	25	were	be	AUX
cana-666	190	26	omitted	omit	VERB
cana-666	190	27	.	.	PUNCT
cana-666	191	1	the	the	DET
cana-666	191	2	anova	anova	PROPN
cana-666	191	3	f	f	X
cana-666	191	4	-	-	PUNCT
cana-666	191	5	test	test	NOUN
cana-666	191	6	technique	technique	NOUN
cana-666	191	7	used	use	VERB
cana-666	191	8	on	on	ADP
cana-666	191	9	the	the	DET
cana-666	191	10	entire	entire	ADJ
cana-666	191	11	dataset	dataset	NOUN
cana-666	191	12	to	to	PART
cana-666	191	13	identify	identify	VERB
cana-666	191	14	features	feature	NOUN
cana-666	191	15	.	.	PUNCT
cana-666	192	1	to	to	PART
cana-666	192	2	train	train	VERB
cana-666	192	3	the	the	DET
cana-666	192	4	classifiers	classifier	NOUN
cana-666	192	5	,	,	PUNCT
cana-666	192	6	scikit	scikit	NOUN
cana-666	192	7	-	-	PUNCT
cana-666	192	8	learn	learn	NOUN
cana-666	192	9	libraries	library	NOUN
cana-666	192	10	used	use	VERB
cana-666	192	11	with	with	ADP
cana-666	192	12	a	a	DET
cana-666	192	13	unique	unique	ADJ
cana-666	192	14	combination	combination	NOUN
cana-666	192	15	of	of	ADP
cana-666	192	16	hyperparameters	hyperparameter	NOUN
cana-666	192	17	.	.	PUNCT
cana-666	193	1	the	the	DET
cana-666	193	2	cicids2017	cicids2017	PROPN
cana-666	193	3	dataset	dataset	NOUN
cana-666	193	4	was	be	AUX
cana-666	193	5	transformed	transform	VERB
cana-666	193	6	into	into	ADP
cana-666	193	7	a	a	DET
cana-666	193	8	multiclass	multiclass	ADJ
cana-666	193	9	classification	classification	NOUN
cana-666	193	10	problem	problem	NOUN
cana-666	193	11	since	since	SCONJ
cana-666	193	12	it	it	PRON
cana-666	193	13	contains	contain	VERB
cana-666	193	14	a	a	DET
cana-666	193	15	large	large	ADJ
cana-666	193	16	number	number	NOUN
cana-666	193	17	of	of	ADP
cana-666	193	18	attack	attack	NOUN
cana-666	193	19	labels	label	NOUN
cana-666	193	20	.	.	PUNCT
cana-666	194	1	this	this	DET
cana-666	194	2	research	research	NOUN
cana-666	194	3	considered	consider	VERB
cana-666	194	4	performance	performance	NOUN
cana-666	194	5	metrics	metric	NOUN
cana-666	194	6	such	such	ADJ
cana-666	194	7	as	as	ADP
cana-666	194	8	accuracy	accuracy	NOUN
cana-666	194	9	(	(	PUNCT
cana-666	194	10	acc	acc	PROPN
cana-666	194	11	)	)	PUNCT
cana-666	194	12	,	,	PUNCT
cana-666	194	13	precision	precision	NOUN
cana-666	194	14	(	(	PUNCT
cana-666	194	15	pr	pr	NOUN
cana-666	194	16	)	)	PUNCT
cana-666	194	17	,	,	PUNCT
cana-666	194	18	recall	recall	INTJ
cana-666	194	19	(	(	PUNCT
cana-666	194	20	rc	rc	PROPN
cana-666	194	21	)	)	PUNCT
cana-666	194	22	,	,	PUNCT
cana-666	194	23	and	and	CCONJ
cana-666	194	24	f1	f1	NOUN
cana-666	194	25	-	-	PUNCT
cana-666	194	26	score(f1	score(f1	NOUN
cana-666	194	27	)	)	PUNCT
cana-666	194	28	.	.	PUNCT
cana-666	195	1	the	the	DET
cana-666	195	2	metrics	metric	NOUN
cana-666	195	3	of	of	ADP
cana-666	195	4	pr	pr	NOUN
cana-666	195	5	,	,	PUNCT
cana-666	195	6	rc	rc	PROPN
cana-666	195	7	,	,	PUNCT
cana-666	195	8	and	and	CCONJ
cana-666	195	9	f1	f1	NOUN
cana-666	195	10	were	be	AUX
cana-666	195	11	weighted	weight	VERB
cana-666	195	12	and	and	CCONJ
cana-666	195	13	averaged	average	VERB
cana-666	195	14	in	in	ADP
cana-666	195	15	this	this	DET
cana-666	195	16	study	study	NOUN
cana-666	195	17	.	.	PUNCT
cana-666	196	1	precision	precision	NOUN
cana-666	196	2	(	(	PUNCT
cana-666	196	3	pr	pr	NOUN
cana-666	196	4	)	)	PUNCT
cana-666	196	5	=	=	NOUN
cana-666	196	6	tp	tp	NOUN
cana-666	196	7	/	/	PUNCT
cana-666	196	8	(	(	PUNCT
cana-666	196	9	tp	tp	ADP
cana-666	196	10	+	+	CCONJ
cana-666	196	11	fp	fp	X
cana-666	196	12	)	)	PUNCT
cana-666	196	13	recall	recall	NOUN
cana-666	196	14	(	(	PUNCT
cana-666	196	15	rc	rc	PROPN
cana-666	196	16	)	)	PUNCT
cana-666	196	17	=	=	SYM
cana-666	196	18	tp	tp	NOUN
cana-666	196	19	/	/	PUNCT
cana-666	196	20	(	(	PUNCT
cana-666	196	21	tp	tp	ADP
cana-666	196	22	+	+	CCONJ
cana-666	196	23	fn	fn	NOUN
cana-666	196	24	)	)	PUNCT
cana-666	196	25	f1	f1	NOUN
cana-666	196	26	-	-	PUNCT
cana-666	196	27	score	score	NOUN
cana-666	196	28	(	(	PUNCT
cana-666	196	29	f1	f1	NOUN
cana-666	196	30	)	)	PUNCT
cana-666	196	31	=	=	PUNCT
cana-666	196	32	(	(	PUNCT
cana-666	196	33	2	2	X
cana-666	196	34	*	*	PUNCT
cana-666	196	35	pr	pr	X
cana-666	196	36	*	*	PUNCT
cana-666	196	37	rc	rc	PROPN
cana-666	196	38	)	)	PUNCT
cana-666	196	39	/	/	PUNCT
cana-666	196	40	(	(	PUNCT
cana-666	196	41	pr	pr	X
cana-666	196	42	+	+	X
cana-666	196	43	rc	rc	PROPN
cana-666	196	44	)	)	PUNCT
cana-666	197	1	where	where	SCONJ
cana-666	197	2	,	,	PUNCT
cana-666	197	3	tp	tp	INTJ
cana-666	197	4	–	–	PUNCT
cana-666	197	5	positive	positive	ADJ
cana-666	197	6	instances	instance	NOUN
cana-666	197	7	that	that	PRON
cana-666	197	8	are	be	AUX
cana-666	197	9	true	true	ADJ
cana-666	197	10	;	;	PUNCT
cana-666	197	11	fp	fp	NUM
cana-666	197	12	positive	positive	ADJ
cana-666	197	13	instances	instance	NOUN
cana-666	197	14	that	that	PRON
cana-666	197	15	are	be	AUX
cana-666	197	16	false	false	ADJ
cana-666	197	17	;	;	PUNCT
cana-666	197	18	tn	tn	NUM
cana-666	197	19	negative	negative	ADJ
cana-666	197	20	instances	instance	NOUN
cana-666	197	21	that	that	PRON
cana-666	197	22	are	be	AUX
cana-666	197	23	true	true	ADJ
cana-666	197	24	;	;	PUNCT
cana-666	197	25	fn	fn	NUM
cana-666	197	26	negative	negative	ADJ
cana-666	197	27	instances	instance	NOUN
cana-666	197	28	that	that	PRON
cana-666	197	29	are	be	AUX
cana-666	197	30	false	false	ADJ
cana-666	197	31	.	.	PUNCT
cana-666	198	1	c.	c.	NOUN
cana-666	198	2	result	result	PROPN
cana-666	198	3	evaluation	evaluation	NOUN
cana-666	198	4	using	use	VERB
cana-666	198	5	the	the	DET
cana-666	198	6	cicids2017	cicids2017	NOUN
cana-666	198	7	dataset	dataset	NOUN
cana-666	198	8	,	,	PUNCT
cana-666	198	9	the	the	DET
cana-666	198	10	experiments	experiment	NOUN
cana-666	198	11	are	be	AUX
cana-666	198	12	accomplished	accomplish	VERB
cana-666	198	13	to	to	PART
cana-666	198	14	get	get	VERB
cana-666	198	15	more	more	ADJ
cana-666	198	16	about	about	ADP
cana-666	198	17	the	the	DET
cana-666	198	18	usefulness	usefulness	NOUN
cana-666	198	19	of	of	ADP
cana-666	198	20	the	the	DET
cana-666	198	21	low	low	ADJ
cana-666	198	22	-	-	PUNCT
cana-666	198	23	dimensional	dimensional	ADJ
cana-666	198	24	characteristics	characteristic	NOUN
cana-666	198	25	extracted	extract	VERB
cana-666	198	26	and	and	CCONJ
cana-666	198	27	to	to	PART
cana-666	198	28	evaluate	evaluate	VERB
cana-666	198	29	the	the	DET
cana-666	198	30	efficiency	efficiency	NOUN
cana-666	198	31	of	of	ADP
cana-666	198	32	the	the	DET
cana-666	198	33	suggested	suggest	VERB
cana-666	198	34	framework	framework	NOUN
cana-666	198	35	in	in	ADP
cana-666	198	36	the	the	DET
cana-666	198	37	categorization	categorization	NOUN
cana-666	198	38	of	of	ADP
cana-666	198	39	many	many	ADJ
cana-666	198	40	types	type	NOUN
cana-666	198	41	of	of	ADP
cana-666	198	42	intrusions	intrusion	NOUN
cana-666	198	43	.	.	PUNCT
cana-666	199	1	in	in	ADP
cana-666	199	2	figure	figure	NOUN
cana-666	199	3	3	3	NUM
cana-666	199	4	,	,	PUNCT
cana-666	199	5	the	the	DET
cana-666	199	6	anova	anova	PROPN
cana-666	199	7	test	test	NOUN
cana-666	199	8	's	's	PART
cana-666	199	9	score	score	NOUN
cana-666	199	10	value	value	NOUN
cana-666	199	11	plot	plot	NOUN
cana-666	199	12	can	can	AUX
cana-666	199	13	be	be	AUX
cana-666	199	14	visualized	visualize	VERB
cana-666	199	15	for	for	ADP
cana-666	199	16	all	all	DET
cana-666	199	17	feature	feature	NOUN
cana-666	199	18	sets	set	NOUN
cana-666	199	19	,	,	PUNCT
cana-666	199	20	indicating	indicate	VERB
cana-666	199	21	that	that	SCONJ
cana-666	199	22	features	feature	VERB
cana-666	199	23	with	with	ADP
cana-666	199	24	a	a	DET
cana-666	199	25	high	high	ADJ
cana-666	199	26	f	f	NOUN
cana-666	199	27	-	-	PUNCT
cana-666	199	28	test	test	NOUN
cana-666	199	29	value	value	NOUN
cana-666	199	30	are	be	AUX
cana-666	199	31	preferred	prefer	VERB
cana-666	199	32	for	for	ADP
cana-666	199	33	model	model	NOUN
cana-666	199	34	learning	learning	NOUN
cana-666	199	35	and	and	CCONJ
cana-666	199	36	validation	validation	NOUN
cana-666	199	37	.	.	PUNCT
cana-666	200	1	communications	communication	NOUN
cana-666	200	2	on	on	ADP
cana-666	200	3	applied	apply	VERB
cana-666	200	4	nonlinear	nonlinear	ADJ
cana-666	200	5	analysis	analysis	NOUN
cana-666	200	6	issn	issn	NOUN
cana-666	200	7	:	:	PUNCT
cana-666	200	8	1074	1074	NUM
cana-666	200	9	-	-	PUNCT
cana-666	200	10	133x	133x	NUM
cana-666	200	11	vol	vol	NOUN
cana-666	200	12	31	31	NUM
cana-666	200	13	no	no	NOUN
cana-666	200	14	.	.	PUNCT
cana-666	201	1	2s	2s	NUM
cana-666	201	2	(	(	PUNCT
cana-666	201	3	2024	2024	NUM
cana-666	201	4	)	)	PUNCT
cana-666	201	5	555	555	NUM
cana-666	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	201	7	figure	figure	NOUN
cana-666	201	8	2	2	NUM
cana-666	201	9	:	:	PUNCT
cana-666	201	10	f	f	X
cana-666	201	11	-	-	PUNCT
cana-666	201	12	test	test	NOUN
cana-666	201	13	score	score	NOUN
cana-666	201	14	plot	plot	NOUN
cana-666	201	15	using	use	VERB
cana-666	201	16	anova	anova	PROPN
cana-666	201	17	the	the	DET
cana-666	201	18	performance	performance	NOUN
cana-666	201	19	of	of	ADP
cana-666	201	20	the	the	DET
cana-666	201	21	model	model	NOUN
cana-666	201	22	was	be	AUX
cana-666	201	23	evaluated	evaluate	VERB
cana-666	201	24	based	base	VERB
cana-666	201	25	on	on	ADP
cana-666	201	26	its	its	PRON
cana-666	201	27	ability	ability	NOUN
cana-666	201	28	to	to	PART
cana-666	201	29	differentiate	differentiate	VERB
cana-666	201	30	between	between	ADP
cana-666	201	31	15	15	NUM
cana-666	201	32	distinct	distinct	ADJ
cana-666	201	33	categories	category	NOUN
cana-666	201	34	,	,	PUNCT
cana-666	201	35	using	use	VERB
cana-666	201	36	metrics	metric	NOUN
cana-666	201	37	such	such	ADJ
cana-666	201	38	as	as	ADP
cana-666	201	39	recall	recall	NOUN
cana-666	201	40	,	,	PUNCT
cana-666	201	41	precision	precision	NOUN
cana-666	201	42	,	,	PUNCT
cana-666	201	43	and	and	CCONJ
cana-666	201	44	f1	f1	PROPN
cana-666	201	45	score	score	NOUN
cana-666	201	46	.	.	PUNCT
cana-666	202	1	the	the	DET
cana-666	202	2	model	model	NOUN
cana-666	202	3	's	's	PART
cana-666	202	4	effectiveness	effectiveness	NOUN
cana-666	202	5	was	be	AUX
cana-666	202	6	determined	determine	VERB
cana-666	202	7	using	use	VERB
cana-666	202	8	five	five	NUM
cana-666	202	9	-	-	ADJ
cana-666	202	10	fold	fold	ADJ
cana-666	202	11	cross	cross	NOUN
cana-666	202	12	-	-	NOUN
cana-666	202	13	validation	validation	NOUN
cana-666	202	14	.	.	PUNCT
cana-666	203	1	each	each	PRON
cana-666	203	2	of	of	ADP
cana-666	203	3	the	the	DET
cana-666	203	4	5	5	NUM
cana-666	203	5	subsets	subset	NOUN
cana-666	203	6	is	be	AUX
cana-666	203	7	divided	divide	VERB
cana-666	203	8	into	into	ADP
cana-666	203	9	70	70	NUM
cana-666	203	10	%	%	NOUN
cana-666	203	11	train	train	NOUN
cana-666	203	12	data	datum	NOUN
cana-666	203	13	and	and	CCONJ
cana-666	203	14	30	30	NUM
cana-666	203	15	%	%	NOUN
cana-666	203	16	test	test	NOUN
cana-666	203	17	data	datum	NOUN
cana-666	203	18	.	.	PUNCT
cana-666	204	1	the	the	DET
cana-666	204	2	metrics	metric	NOUN
cana-666	204	3	used	use	VERB
cana-666	204	4	to	to	PART
cana-666	204	5	evaluate	evaluate	VERB
cana-666	204	6	the	the	DET
cana-666	204	7	model	model	NOUN
cana-666	204	8	were	be	AUX
cana-666	204	9	informed	inform	VERB
cana-666	204	10	by	by	ADP
cana-666	204	11	the	the	DET
cana-666	204	12	confusion	confusion	NOUN
cana-666	204	13	matrices	matrix	NOUN
cana-666	204	14	obtained	obtain	VERB
cana-666	204	15	from	from	ADP
cana-666	204	16	each	each	PRON
cana-666	204	17	of	of	ADP
cana-666	204	18	the	the	DET
cana-666	204	19	5	5	NUM
cana-666	204	20	cross	cross	ADJ
cana-666	204	21	-	-	ADJ
cana-666	204	22	validation	validation	ADJ
cana-666	204	23	splits	split	NOUN
cana-666	204	24	.	.	PUNCT
cana-666	205	1	the	the	DET
cana-666	205	2	three	three	NUM
cana-666	205	3	learning	learning	NOUN
cana-666	205	4	models	model	NOUN
cana-666	205	5	are	be	AUX
cana-666	205	6	employed	employ	VERB
cana-666	205	7	to	to	PART
cana-666	205	8	simulate	simulate	VERB
cana-666	205	9	the	the	DET
cana-666	205	10	suggested	suggest	VERB
cana-666	205	11	framework	framework	NOUN
cana-666	205	12	and	and	CCONJ
cana-666	205	13	evaluate	evaluate	VERB
cana-666	205	14	its	its	PRON
cana-666	205	15	performance	performance	NOUN
cana-666	205	16	on	on	ADP
cana-666	205	17	the	the	DET
cana-666	205	18	confusion	confusion	NOUN
cana-666	205	19	matrix	matrix	NOUN
cana-666	205	20	.	.	PUNCT
cana-666	206	1	in	in	ADP
cana-666	206	2	multiclass	multiclass	ADJ
cana-666	206	3	intrusion	intrusion	NOUN
cana-666	206	4	classification	classification	NOUN
cana-666	206	5	,	,	PUNCT
cana-666	206	6	where	where	SCONJ
cana-666	206	7	0	0	NUM
cana-666	206	8	-	-	SYM
cana-666	206	9	14	14	NUM
cana-666	206	10	represents	represent	VERB
cana-666	206	11	the	the	DET
cana-666	206	12	aforementioned	aforementioned	ADJ
cana-666	206	13	attack	attack	NOUN
cana-666	206	14	types	type	NOUN
cana-666	206	15	,	,	PUNCT
cana-666	206	16	the	the	DET
cana-666	206	17	confusion	confusion	NOUN
cana-666	206	18	matrix	matrix	NOUN
cana-666	206	19	performance	performance	NOUN
cana-666	206	20	of	of	ADP
cana-666	206	21	the	the	DET
cana-666	206	22	three	three	NUM
cana-666	206	23	classifiers	classifier	NOUN
cana-666	206	24	algorithm	algorithm	NOUN
cana-666	206	25	using	use	VERB
cana-666	206	26	dt	dt	PROPN
cana-666	206	27	,	,	PUNCT
cana-666	206	28	rf	rf	ADJ
cana-666	206	29	,	,	PUNCT
cana-666	206	30	and	and	CCONJ
cana-666	206	31	sd	sd	NOUN
cana-666	206	32	-	-	PUNCT
cana-666	206	33	rnn	rnn	NOUN
cana-666	206	34	classifier	classifier	NOUN
cana-666	206	35	is	be	AUX
cana-666	206	36	shown	show	VERB
cana-666	206	37	in	in	ADP
cana-666	206	38	figures	figure	NOUN
cana-666	206	39	3	3	NUM
cana-666	206	40	,	,	PUNCT
cana-666	206	41	4	4	NUM
cana-666	206	42	,	,	PUNCT
cana-666	206	43	and	and	CCONJ
cana-666	206	44	5	5	NUM
cana-666	206	45	.	.	X
cana-666	206	46	figure	figure	VERB
cana-666	206	47	3	3	NUM
cana-666	206	48	:	:	PUNCT
cana-666	206	49	confusion	confusion	NOUN
cana-666	206	50	matrix	matrix	NOUN
cana-666	206	51	using	use	VERB
cana-666	206	52	dt	dt	PUNCT
cana-666	206	53	classifier	classifier	NOUN
cana-666	206	54	communications	communication	NOUN
cana-666	206	55	on	on	ADP
cana-666	206	56	applied	apply	VERB
cana-666	206	57	nonlinear	nonlinear	ADJ
cana-666	206	58	analysis	analysis	NOUN
cana-666	206	59	issn	issn	NOUN
cana-666	206	60	:	:	PUNCT
cana-666	206	61	1074	1074	NUM
cana-666	206	62	-	-	PUNCT
cana-666	206	63	133x	133x	NUM
cana-666	206	64	vol	vol	NOUN
cana-666	206	65	31	31	NUM
cana-666	206	66	no	no	NOUN
cana-666	206	67	.	.	PUNCT
cana-666	207	1	2s	2s	NUM
cana-666	207	2	(	(	PUNCT
cana-666	207	3	2024	2024	NUM
cana-666	207	4	)	)	PUNCT
cana-666	207	5	556	556	NUM
cana-666	207	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	207	7	figure	figure	NOUN
cana-666	207	8	4	4	NUM
cana-666	207	9	:	:	PUNCT
cana-666	207	10	confusion	confusion	NOUN
cana-666	207	11	matrix	matrix	NOUN
cana-666	207	12	using	use	VERB
cana-666	207	13	rf	rf	NOUN
cana-666	207	14	classifier	classifier	NOUN
cana-666	207	15	figure	figure	NOUN
cana-666	207	16	5	5	NUM
cana-666	207	17	:	:	PUNCT
cana-666	207	18	confusion	confusion	NOUN
cana-666	207	19	matrix	matrix	NOUN
cana-666	207	20	using	use	VERB
cana-666	207	21	sd	sd	NOUN
cana-666	207	22	-	-	PUNCT
cana-666	207	23	rnn	rnn	NOUN
cana-666	207	24	classifier	classifier	NOUN
cana-666	207	25	figures	figure	NOUN
cana-666	207	26	6	6	NUM
cana-666	207	27	,	,	PUNCT
cana-666	207	28	7	7	NUM
cana-666	207	29	,	,	PUNCT
cana-666	207	30	and	and	CCONJ
cana-666	207	31	8	8	NUM
cana-666	207	32	present	present	VERB
cana-666	207	33	a	a	DET
cana-666	207	34	comprehensive	comprehensive	ADJ
cana-666	207	35	overview	overview	NOUN
cana-666	207	36	of	of	ADP
cana-666	207	37	the	the	DET
cana-666	207	38	proposed	propose	VERB
cana-666	207	39	framework	framework	NOUN
cana-666	207	40	's	's	PART
cana-666	207	41	performance	performance	NOUN
cana-666	207	42	in	in	ADP
cana-666	207	43	terms	term	NOUN
cana-666	207	44	of	of	ADP
cana-666	207	45	recall	recall	NOUN
cana-666	207	46	,	,	PUNCT
cana-666	207	47	precision	precision	NOUN
cana-666	207	48	,	,	PUNCT
cana-666	207	49	and	and	CCONJ
cana-666	207	50	f1	f1	NOUN
cana-666	207	51	-	-	PUNCT
cana-666	207	52	score	score	NOUN
cana-666	207	53	for	for	ADP
cana-666	207	54	all	all	DET
cana-666	207	55	15	15	NUM
cana-666	207	56	attack	attack	NOUN
cana-666	207	57	categories	category	NOUN
cana-666	207	58	.	.	PUNCT
cana-666	208	1	the	the	DET
cana-666	208	2	dt	dt	PROPN
cana-666	208	3	,	,	PUNCT
cana-666	208	4	rf	rf	NOUN
cana-666	208	5	,	,	PUNCT
cana-666	208	6	and	and	CCONJ
cana-666	208	7	sd	sd	NOUN
cana-666	208	8	-	-	PUNCT
cana-666	208	9	rnn	rnn	NOUN
cana-666	208	10	classifiers	classifier	NOUN
cana-666	208	11	were	be	AUX
cana-666	208	12	used	use	VERB
cana-666	208	13	for	for	ADP
cana-666	208	14	the	the	DET
cana-666	208	15	evaluation	evaluation	NOUN
cana-666	208	16	.	.	PUNCT
cana-666	209	1	based	base	VERB
cana-666	209	2	on	on	ADP
cana-666	209	3	the	the	DET
cana-666	209	4	figure	figure	NOUN
cana-666	209	5	,	,	PUNCT
cana-666	209	6	it	it	PRON
cana-666	209	7	can	can	AUX
cana-666	209	8	be	be	AUX
cana-666	209	9	observed	observe	VERB
cana-666	209	10	that	that	SCONJ
cana-666	209	11	the	the	DET
cana-666	209	12	incorrect	incorrect	ADJ
cana-666	209	13	categorization	categorization	NOUN
cana-666	209	14	is	be	AUX
cana-666	209	15	also	also	ADV
cana-666	209	16	identified	identify	VERB
cana-666	209	17	,	,	PUNCT
cana-666	209	18	with	with	ADP
cana-666	209	19	a	a	DET
cana-666	209	20	higher	high	ADJ
cana-666	209	21	proportion	proportion	NOUN
cana-666	209	22	of	of	ADP
cana-666	209	23	traffic	traffic	NOUN
cana-666	209	24	categorized	categorize	VERB
cana-666	209	25	as	as	ADP
cana-666	209	26	an	an	DET
cana-666	209	27	attack	attack	NOUN
cana-666	209	28	compared	compare	VERB
cana-666	209	29	to	to	ADP
cana-666	209	30	traffic	traffic	NOUN
cana-666	209	31	classified	classify	VERB
cana-666	209	32	as	as	ADP
cana-666	209	33	benign	benign	ADJ
cana-666	209	34	.	.	PUNCT
cana-666	210	1	some	some	DET
cana-666	210	2	assault	assault	NOUN
cana-666	210	3	samples	sample	NOUN
cana-666	210	4	had	have	VERB
cana-666	210	5	a	a	DET
cana-666	210	6	smaller	small	ADJ
cana-666	210	7	number	number	NOUN
cana-666	210	8	of	of	ADP
cana-666	210	9	records	record	NOUN
cana-666	210	10	compared	compare	VERB
cana-666	210	11	to	to	ADP
cana-666	210	12	communications	communication	NOUN
cana-666	210	13	on	on	ADP
cana-666	210	14	applied	apply	VERB
cana-666	210	15	nonlinear	nonlinear	ADJ
cana-666	210	16	analysis	analysis	NOUN
cana-666	210	17	issn	issn	NOUN
cana-666	210	18	:	:	PUNCT
cana-666	210	19	1074	1074	NUM
cana-666	210	20	-	-	PUNCT
cana-666	210	21	133x	133x	NUM
cana-666	210	22	vol	vol	NOUN
cana-666	210	23	31	31	NUM
cana-666	210	24	no	no	NOUN
cana-666	210	25	.	.	PUNCT
cana-666	211	1	2s	2s	NUM
cana-666	211	2	(	(	PUNCT
cana-666	211	3	2024	2024	NUM
cana-666	211	4	)	)	PUNCT
cana-666	211	5	557	557	NUM
cana-666	211	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	211	7	other	other	ADJ
cana-666	211	8	attack	attack	NOUN
cana-666	211	9	samples	sample	NOUN
cana-666	211	10	,	,	PUNCT
cana-666	211	11	yet	yet	ADV
cana-666	211	12	all	all	PRON
cana-666	211	13	of	of	ADP
cana-666	211	14	them	they	PRON
cana-666	211	15	were	be	AUX
cana-666	211	16	successfully	successfully	ADV
cana-666	211	17	recognized	recognize	VERB
cana-666	211	18	.	.	PUNCT
cana-666	212	1	the	the	DET
cana-666	212	2	total	total	ADJ
cana-666	212	3	attack	attack	NOUN
cana-666	212	4	categorization	categorization	NOUN
cana-666	212	5	achieved	achieve	VERB
cana-666	212	6	with	with	ADP
cana-666	212	7	sd	sd	NOUN
cana-666	212	8	-	-	PUNCT
cana-666	212	9	rnn	rnn	NOUN
cana-666	212	10	outperforms	outperform	NOUN
cana-666	212	11	that	that	PRON
cana-666	212	12	of	of	ADP
cana-666	212	13	other	other	ADJ
cana-666	212	14	machine	machine	NOUN
cana-666	212	15	learning	learning	NOUN
cana-666	212	16	models	model	NOUN
cana-666	212	17	.	.	PUNCT
cana-666	213	1	figure	figure	VERB
cana-666	213	2	6	6	NUM
cana-666	213	3	:	:	PUNCT
cana-666	213	4	performance	performance	NOUN
cana-666	213	5	evaluation	evaluation	NOUN
cana-666	213	6	using	use	VERB
cana-666	213	7	dt	dt	PUNCT
cana-666	213	8	classifier	classifier	NOUN
cana-666	213	9	figure	figure	VERB
cana-666	213	10	6	6	NUM
cana-666	213	11	:	:	PUNCT
cana-666	213	12	performance	performance	NOUN
cana-666	213	13	evaluation	evaluation	NOUN
cana-666	213	14	using	use	VERB
cana-666	213	15	rf	rf	NOUN
cana-666	213	16	classifier	classifier	NOUN
cana-666	213	17	figure	figure	NOUN
cana-666	213	18	6	6	NUM
cana-666	213	19	:	:	PUNCT
cana-666	213	20	performance	performance	NOUN
cana-666	213	21	evaluation	evaluation	NOUN
cana-666	213	22	using	use	VERB
cana-666	213	23	sd	sd	NOUN
cana-666	213	24	-	-	PUNCT
cana-666	213	25	rnn	rnn	NOUN
cana-666	213	26	classifier	classifier	NOUN
cana-666	213	27	0	0	NUM
cana-666	213	28	0.2	0.2	NUM
cana-666	213	29	0.4	0.4	NUM
cana-666	213	30	0.6	0.6	NUM
cana-666	213	31	0.8	0.8	NUM
cana-666	213	32	1	1	NUM
cana-666	213	33	1.2	1.2	NUM
cana-666	213	34	‘	‘	SYM
cana-666	213	35	0	0	NUM
cana-666	213	36	’	'	PUNCT
cana-666	213	37	‘	'	PUNCT
cana-666	213	38	1	1	NUM
cana-666	213	39	’	'	PUNCT
cana-666	213	40	‘	'	PUNCT
cana-666	213	41	2	2	NUM
cana-666	213	42	’	'	PUNCT
cana-666	213	43	‘	'	PUNCT
cana-666	213	44	3	3	NUM
cana-666	213	45	’	'	PUNCT
cana-666	213	46	‘	'	PUNCT
cana-666	213	47	4	4	NUM
cana-666	213	48	’	'	PUNCT
cana-666	213	49	‘	'	PUNCT
cana-666	213	50	5	5	NUM
cana-666	213	51	’	'	PUNCT
cana-666	213	52	‘	'	PUNCT
cana-666	213	53	6	6	NUM
cana-666	213	54	’	'	PUNCT
cana-666	213	55	‘	'	PUNCT
cana-666	213	56	7	7	NUM
cana-666	213	57	’	'	PUNCT
cana-666	213	58	‘	'	PUNCT
cana-666	213	59	8	8	NUM
cana-666	213	60	’	'	PUNCT
cana-666	213	61	‘	'	PUNCT
cana-666	213	62	9	9	NUM
cana-666	213	63	’	'	PUNCT
cana-666	213	64	‘	'	PUNCT
cana-666	213	65	10	10	NUM
cana-666	213	66	’	'	PUNCT
cana-666	213	67	‘	'	PUNCT
cana-666	213	68	11	11	NUM
cana-666	213	69	’	'	PUNCT
cana-666	213	70	‘	'	PUNCT
cana-666	213	71	12	12	NUM
cana-666	213	72	’	'	PUNCT
cana-666	213	73	‘	'	PUNCT
cana-666	213	74	13	13	NUM
cana-666	213	75	’	'	PUNCT
cana-666	213	76	‘	'	PUNCT
cana-666	213	77	14	14	NUM
cana-666	213	78	’	'	PUNCT
cana-666	213	79	precision	precision	NOUN
cana-666	213	80	recall	recall	NOUN
cana-666	214	1	f	f	NOUN
cana-666	214	2	-	-	PUNCT
cana-666	214	3	score	score	NOUN
cana-666	214	4	0	0	NUM
cana-666	214	5	0.2	0.2	NUM
cana-666	214	6	0.4	0.4	NUM
cana-666	214	7	0.6	0.6	NUM
cana-666	214	8	0.8	0.8	NUM
cana-666	214	9	1	1	NUM
cana-666	214	10	1.2	1.2	NUM
cana-666	214	11	‘	‘	SYM
cana-666	214	12	0	0	NUM
cana-666	214	13	’	'	PUNCT
cana-666	214	14	‘	'	PUNCT
cana-666	214	15	1	1	NUM
cana-666	214	16	’	'	PUNCT
cana-666	214	17	‘	'	PUNCT
cana-666	214	18	2	2	NUM
cana-666	214	19	’	'	PUNCT
cana-666	214	20	‘	'	PUNCT
cana-666	214	21	3	3	NUM
cana-666	214	22	’	'	PUNCT
cana-666	214	23	‘	'	PUNCT
cana-666	214	24	4	4	NUM
cana-666	214	25	’	'	PUNCT
cana-666	214	26	‘	'	PUNCT
cana-666	214	27	5	5	NUM
cana-666	214	28	’	'	PUNCT
cana-666	214	29	‘	'	PUNCT
cana-666	214	30	6	6	NUM
cana-666	214	31	’	'	PUNCT
cana-666	214	32	‘	'	PUNCT
cana-666	214	33	7	7	NUM
cana-666	214	34	’	'	PUNCT
cana-666	214	35	‘	'	PUNCT
cana-666	214	36	8	8	NUM
cana-666	214	37	’	'	PUNCT
cana-666	214	38	‘	'	PUNCT
cana-666	214	39	9	9	NUM
cana-666	214	40	’	'	PUNCT
cana-666	214	41	‘	'	PUNCT
cana-666	214	42	10	10	NUM
cana-666	214	43	’	'	PUNCT
cana-666	214	44	‘	'	PUNCT
cana-666	214	45	11	11	NUM
cana-666	214	46	’	'	PUNCT
cana-666	214	47	‘	'	PUNCT
cana-666	214	48	12	12	NUM
cana-666	214	49	’	'	PUNCT
cana-666	214	50	‘	'	PUNCT
cana-666	214	51	13	13	NUM
cana-666	214	52	’	'	PUNCT
cana-666	214	53	‘	'	PUNCT
cana-666	214	54	14	14	NUM
cana-666	214	55	’	'	PUNCT
cana-666	214	56	precision	precision	NOUN
cana-666	214	57	recall	recall	NOUN
cana-666	214	58	f	f	NOUN
cana-666	214	59	-	-	PUNCT
cana-666	214	60	score	score	NOUN
cana-666	214	61	0	0	NUM
cana-666	214	62	0.2	0.2	NUM
cana-666	214	63	0.4	0.4	NUM
cana-666	214	64	0.6	0.6	NUM
cana-666	214	65	0.8	0.8	NUM
cana-666	214	66	1	1	NUM
cana-666	214	67	1.2	1.2	NUM
cana-666	214	68	‘	‘	SYM
cana-666	214	69	0	0	NUM
cana-666	214	70	’	'	PUNCT
cana-666	214	71	‘	'	PUNCT
cana-666	214	72	1	1	NUM
cana-666	214	73	’	'	PUNCT
cana-666	214	74	‘	'	PUNCT
cana-666	214	75	2	2	NUM
cana-666	214	76	’	'	PUNCT
cana-666	214	77	‘	'	PUNCT
cana-666	214	78	3	3	NUM
cana-666	214	79	’	'	PUNCT
cana-666	214	80	‘	'	PUNCT
cana-666	214	81	4	4	NUM
cana-666	214	82	’	'	PUNCT
cana-666	214	83	‘	'	PUNCT
cana-666	214	84	5	5	NUM
cana-666	214	85	’	'	PUNCT
cana-666	214	86	‘	'	PUNCT
cana-666	214	87	6	6	NUM
cana-666	214	88	’	'	PUNCT
cana-666	214	89	‘	'	PUNCT
cana-666	214	90	7	7	NUM
cana-666	214	91	’	'	PUNCT
cana-666	214	92	‘	'	PUNCT
cana-666	214	93	8	8	NUM
cana-666	214	94	’	'	PUNCT
cana-666	214	95	‘	'	PUNCT
cana-666	214	96	9	9	NUM
cana-666	214	97	’	'	PUNCT
cana-666	214	98	‘	'	PUNCT
cana-666	214	99	10	10	NUM
cana-666	214	100	’	'	PUNCT
cana-666	214	101	‘	'	PUNCT
cana-666	214	102	11	11	NUM
cana-666	214	103	’	'	PUNCT
cana-666	214	104	‘	'	PUNCT
cana-666	214	105	12	12	NUM
cana-666	214	106	’	'	PUNCT
cana-666	214	107	‘	'	PUNCT
cana-666	214	108	13	13	NUM
cana-666	214	109	’	'	PUNCT
cana-666	214	110	‘	'	PUNCT
cana-666	214	111	14	14	NUM
cana-666	214	112	’	'	PUNCT
cana-666	214	113	precision	precision	NOUN
cana-666	214	114	recall	recall	NOUN
cana-666	214	115	f	f	NOUN
cana-666	214	116	-	-	PUNCT
cana-666	214	117	score	score	NOUN
cana-666	214	118	communications	communication	NOUN
cana-666	214	119	on	on	ADP
cana-666	214	120	applied	apply	VERB
cana-666	214	121	nonlinear	nonlinear	ADJ
cana-666	214	122	analysis	analysis	NOUN
cana-666	214	123	issn	issn	NOUN
cana-666	214	124	:	:	PUNCT
cana-666	214	125	1074	1074	NUM
cana-666	214	126	-	-	PUNCT
cana-666	214	127	133x	133x	NUM
cana-666	214	128	vol	vol	NOUN
cana-666	214	129	31	31	NUM
cana-666	214	130	no	no	NOUN
cana-666	214	131	.	.	PUNCT
cana-666	215	1	2s	2s	NUM
cana-666	215	2	(	(	PUNCT
cana-666	215	3	2024	2024	NUM
cana-666	215	4	)	)	PUNCT
cana-666	215	5	558	558	NUM
cana-666	215	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	215	7	table	table	NOUN
cana-666	215	8	2	2	NUM
cana-666	215	9	presents	present	VERB
cana-666	215	10	a	a	DET
cana-666	215	11	comparison	comparison	NOUN
cana-666	215	12	of	of	ADP
cana-666	215	13	all	all	DET
cana-666	215	14	-	-	PUNCT
cana-666	215	15	classifier	classifier	NOUN
cana-666	215	16	models	model	NOUN
cana-666	215	17	in	in	ADP
cana-666	215	18	terms	term	NOUN
cana-666	215	19	of	of	ADP
cana-666	215	20	accuracy	accuracy	NOUN
cana-666	215	21	,	,	PUNCT
cana-666	215	22	precision	precision	NOUN
cana-666	215	23	,	,	PUNCT
cana-666	215	24	recall	recall	NOUN
cana-666	215	25	,	,	PUNCT
cana-666	215	26	and	and	CCONJ
cana-666	215	27	fscore	fscore	ADJ
cana-666	215	28	parameters	parameter	NOUN
cana-666	215	29	for	for	ADP
cana-666	215	30	multiclass	multiclass	ADJ
cana-666	215	31	intrusion	intrusion	NOUN
cana-666	215	32	classification	classification	NOUN
cana-666	215	33	.	.	PUNCT
cana-666	216	1	the	the	DET
cana-666	216	2	sd	sd	NOUN
cana-666	216	3	-	-	PUNCT
cana-666	216	4	rnn	rnn	NOUN
cana-666	216	5	deep	deep	ADJ
cana-666	216	6	learning	learning	NOUN
cana-666	216	7	system	system	NOUN
cana-666	216	8	presented	present	VERB
cana-666	216	9	achieves	achieve	VERB
cana-666	216	10	superior	superior	ADJ
cana-666	216	11	performance	performance	NOUN
cana-666	216	12	compared	compare	VERB
cana-666	216	13	to	to	ADP
cana-666	216	14	the	the	DET
cana-666	216	15	dt	dt	PROPN
cana-666	216	16	and	and	CCONJ
cana-666	216	17	rf	rf	PROPN
cana-666	216	18	classifiers	classifier	NOUN
cana-666	216	19	in	in	ADP
cana-666	216	20	terms	term	NOUN
cana-666	216	21	of	of	ADP
cana-666	216	22	accuracy	accuracy	NOUN
cana-666	216	23	,	,	PUNCT
cana-666	216	24	precision	precision	NOUN
cana-666	216	25	,	,	PUNCT
cana-666	216	26	recall	recall	NOUN
cana-666	216	27	,	,	PUNCT
cana-666	216	28	and	and	CCONJ
cana-666	216	29	f1	f1	NOUN
cana-666	216	30	-	-	PUNCT
cana-666	216	31	score	score	NOUN
cana-666	216	32	.	.	PUNCT
cana-666	217	1	it	it	PRON
cana-666	217	2	has	have	VERB
cana-666	217	3	an	an	DET
cana-666	217	4	average	average	ADJ
cana-666	217	5	accuracy	accuracy	NOUN
cana-666	217	6	rate	rate	NOUN
cana-666	217	7	of	of	ADP
cana-666	217	8	99.78	99.78	NUM
cana-666	217	9	%	%	NOUN
cana-666	217	10	,	,	PUNCT
cana-666	217	11	precision	precision	NOUN
cana-666	217	12	rate	rate	NOUN
cana-666	217	13	of	of	ADP
cana-666	217	14	99.77	99.77	NUM
cana-666	217	15	%	%	NOUN
cana-666	217	16	,	,	PUNCT
cana-666	217	17	recall	recall	NOUN
cana-666	217	18	rate	rate	NOUN
cana-666	217	19	of	of	ADP
cana-666	217	20	99.78	99.78	NUM
cana-666	217	21	%	%	NOUN
cana-666	217	22	,	,	PUNCT
cana-666	217	23	and	and	CCONJ
cana-666	217	24	f	f	X
cana-666	217	25	-	-	PUNCT
cana-666	217	26	score	score	NOUN
cana-666	217	27	rate	rate	NOUN
cana-666	217	28	of	of	ADP
cana-666	217	29	99.77	99.77	NUM
cana-666	217	30	%	%	NOUN
cana-666	217	31	.	.	PUNCT
cana-666	218	1	table	table	NOUN
cana-666	218	2	2	2	NUM
cana-666	218	3	:	:	PUNCT
cana-666	218	4	average	average	ADJ
cana-666	218	5	result	result	NOUN
cana-666	218	6	performance	performance	NOUN
cana-666	218	7	evaluation	evaluation	NOUN
cana-666	218	8	parameters	parameter	NOUN
cana-666	218	9	/	/	SYM
cana-666	218	10	classifiers	classifier	NOUN
cana-666	218	11	dt	dt	X
cana-666	218	12	rf	rf	NOUN
cana-666	218	13	sd	sd	NOUN
cana-666	218	14	-	-	PUNCT
cana-666	218	15	rnn	rnn	NOUN
cana-666	218	16	accuracy	accuracy	NOUN
cana-666	218	17	(	(	PUNCT
cana-666	218	18	%	%	NOUN
cana-666	218	19	)	)	PUNCT
cana-666	219	1	97.48	97.48	NUM
cana-666	219	2	97.54	97.54	NUM
cana-666	219	3	99.78	99.78	NUM
cana-666	219	4	precision	precision	NOUN
cana-666	219	5	(	(	PUNCT
cana-666	219	6	%	%	INTJ
cana-666	219	7	)	)	PUNCT
cana-666	219	8	97.51	97.51	NUM
cana-666	219	9	97.61	97.61	NUM
cana-666	219	10	99.77	99.77	NUM
cana-666	219	11	recall	recall	NOUN
cana-666	219	12	(	(	PUNCT
cana-666	219	13	%	%	NOUN
cana-666	219	14	)	)	PUNCT
cana-666	219	15	97.48	97.48	NUM
cana-666	220	1	97.58	97.58	NUM
cana-666	220	2	99.78	99.78	NUM
cana-666	220	3	f	f	X
cana-666	220	4	-	-	PUNCT
cana-666	220	5	score	score	NOUN
cana-666	220	6	(	(	PUNCT
cana-666	220	7	%	%	NOUN
cana-666	220	8	)	)	PUNCT
cana-666	220	9	97.39	97.39	NUM
cana-666	220	10	97.38	97.38	NUM
cana-666	220	11	99.77	99.77	NUM
cana-666	220	12	d.	d.	PROPN
cana-666	220	13	comparative	comparative	ADJ
cana-666	220	14	analysis	analysis	NOUN
cana-666	220	15	to	to	PART
cana-666	220	16	demonstrate	demonstrate	VERB
cana-666	220	17	the	the	DET
cana-666	220	18	effectiveness	effectiveness	NOUN
cana-666	220	19	of	of	ADP
cana-666	220	20	proposed	propose	VERB
cana-666	220	21	model	model	NOUN
cana-666	220	22	,	,	PUNCT
cana-666	220	23	a	a	DET
cana-666	220	24	comparison	comparison	NOUN
cana-666	220	25	conducted	conduct	VERB
cana-666	220	26	with	with	ADP
cana-666	220	27	the	the	DET
cana-666	220	28	classification	classification	NOUN
cana-666	220	29	methods	method	NOUN
cana-666	220	30	employed	employ	VERB
cana-666	220	31	in	in	ADP
cana-666	220	32	existing	exist	VERB
cana-666	220	33	studies	study	NOUN
cana-666	220	34	[	[	X
cana-666	220	35	12][15][19][21	12][15][19][21	NUM
cana-666	220	36	-	-	SYM
cana-666	220	37	22	22	NUM
cana-666	220	38	]	]	PUNCT
cana-666	220	39	using	use	VERB
cana-666	220	40	the	the	DET
cana-666	220	41	cicids2017	cicids2017	NOUN
cana-666	220	42	dataset	dataset	NOUN
cana-666	220	43	.	.	PUNCT
cana-666	221	1	this	this	DET
cana-666	221	2	comparison	comparison	NOUN
cana-666	221	3	was	be	AUX
cana-666	221	4	particularly	particularly	ADV
cana-666	221	5	focused	focus	VERB
cana-666	221	6	on	on	ADP
cana-666	221	7	the	the	DET
cana-666	221	8	multi	multi	ADJ
cana-666	221	9	-	-	ADJ
cana-666	221	10	class	class	ADJ
cana-666	221	11	intrusion	intrusion	NOUN
cana-666	221	12	classification	classification	NOUN
cana-666	221	13	scenario	scenario	NOUN
cana-666	221	14	.	.	PUNCT
cana-666	222	1	table	table	NOUN
cana-666	222	2	3	3	NUM
cana-666	222	3	displays	display	VERB
cana-666	222	4	a	a	DET
cana-666	222	5	comparative	comparative	ADJ
cana-666	222	6	analysis	analysis	NOUN
cana-666	222	7	of	of	ADP
cana-666	222	8	the	the	DET
cana-666	222	9	proposed	propose	VERB
cana-666	222	10	deep	deep	ADJ
cana-666	222	11	learning	learning	NOUN
cana-666	222	12	framework	framework	NOUN
cana-666	222	13	,	,	PUNCT
cana-666	222	14	sd	sd	NOUN
cana-666	222	15	-	-	PUNCT
cana-666	222	16	rnn	rnn	NOUN
cana-666	222	17	,	,	PUNCT
cana-666	222	18	with	with	ADP
cana-666	222	19	other	other	ADJ
cana-666	222	20	relevant	relevant	ADJ
cana-666	222	21	research	research	NOUN
cana-666	222	22	and	and	CCONJ
cana-666	222	23	several	several	ADJ
cana-666	222	24	classic	classic	ADJ
cana-666	222	25	dl	dl	PROPN
cana-666	222	26	/	/	SYM
cana-666	222	27	ml	ml	PROPN
cana-666	222	28	approaches	approach	NOUN
cana-666	222	29	stated	state	VERB
cana-666	222	30	in	in	ADP
cana-666	222	31	their	their	PRON
cana-666	222	32	publication	publication	NOUN
cana-666	222	33	.	.	PUNCT
cana-666	223	1	although	although	SCONJ
cana-666	223	2	comparing	compare	VERB
cana-666	223	3	the	the	DET
cana-666	223	4	suggested	suggest	VERB
cana-666	223	5	work	work	NOUN
cana-666	223	6	with	with	ADP
cana-666	223	7	similar	similar	ADJ
cana-666	223	8	research	research	NOUN
cana-666	223	9	is	be	AUX
cana-666	223	10	not	not	PART
cana-666	223	11	a	a	DET
cana-666	223	12	simple	simple	ADJ
cana-666	223	13	task	task	NOUN
cana-666	223	14	,	,	PUNCT
cana-666	223	15	it	it	PRON
cana-666	223	16	demonstrates	demonstrate	VERB
cana-666	223	17	efficient	efficient	ADJ
cana-666	223	18	performance	performance	NOUN
cana-666	223	19	despite	despite	SCONJ
cana-666	223	20	using	use	VERB
cana-666	223	21	a	a	DET
cana-666	223	22	relatively	relatively	ADV
cana-666	223	23	modest	modest	ADJ
cana-666	223	24	model	model	NOUN
cana-666	223	25	for	for	ADP
cana-666	223	26	categorization	categorization	NOUN
cana-666	223	27	.	.	PUNCT
cana-666	224	1	table	table	NOUN
cana-666	224	2	3	3	NUM
cana-666	224	3	:	:	PUNCT
cana-666	224	4	comparative	comparative	ADJ
cana-666	224	5	analysis	analysis	NOUN
cana-666	224	6	ref	ref	NOUN
cana-666	224	7	model	model	NOUN
cana-666	224	8	accuracy	accuracy	NOUN
cana-666	224	9	precision	precision	NOUN
cana-666	224	10	recall	recall	VERB
cana-666	224	11	f	f	X
cana-666	224	12	-	-	PUNCT
cana-666	224	13	score	score	NOUN
cana-666	225	1	[	[	X
cana-666	225	2	12	12	NUM
cana-666	225	3	]	]	SYM
cana-666	225	4	0.979	0.979	NUM
cana-666	225	5	[	[	X
cana-666	225	6	15	15	NUM
cana-666	225	7	]	]	PUNCT
cana-666	225	8	0.97	0.97	NUM
cana-666	225	9	0.97	0.97	NUM
cana-666	225	10	0.97	0.97	NUM
cana-666	225	11	0.97	0.97	NUM
cana-666	225	12	[	[	X
cana-666	225	13	19	19	NUM
cana-666	225	14	]	]	SYM
cana-666	225	15	0.9888	0.9888	NUM
cana-666	225	16	0.9622	0.9622	NUM
cana-666	225	17	0.9566	0.9566	NUM
cana-666	225	18	0.9644	0.9644	NUM
cana-666	225	19	[	[	X
cana-666	225	20	21	21	NUM
cana-666	225	21	]	]	PUNCT
cana-666	226	1	0.9699	0.9699	NUM
cana-666	226	2	0.9677	0.9677	NUM
cana-666	226	3	0.9456	0.9456	NUM
cana-666	226	4	0.9675	0.9675	NUM
cana-666	227	1	[	[	X
cana-666	227	2	22	22	NUM
cana-666	227	3	]	]	PUNCT
cana-666	227	4	0.9866	0.9866	NUM
cana-666	227	5	0.8536	0.8536	NUM
cana-666	227	6	0.8424	0.8424	NUM
cana-666	227	7	0.8554	0.8554	NUM
cana-666	227	8	proposed	propose	VERB
cana-666	227	9	model	model	NOUN
cana-666	227	10	0.9978	0.9978	NUM
cana-666	227	11	0.9978	0.9978	NUM
cana-666	227	12	0.9977	0.9977	NUM
cana-666	227	13	0.9977	0.9977	NUM
cana-666	227	14	4	4	NUM
cana-666	227	15	.	.	PUNCT
cana-666	227	16	conclusion	conclusion	NOUN
cana-666	227	17	with	with	ADP
cana-666	227	18	the	the	DET
cana-666	227	19	proliferation	proliferation	NOUN
cana-666	227	20	of	of	ADP
cana-666	227	21	sophisticated	sophisticated	ADJ
cana-666	227	22	networks	network	NOUN
cana-666	227	23	and	and	CCONJ
cana-666	227	24	software	software	NOUN
cana-666	227	25	,	,	PUNCT
cana-666	227	26	cyber	cyber	ADJ
cana-666	227	27	security	security	NOUN
cana-666	227	28	has	have	AUX
cana-666	227	29	emerged	emerge	VERB
cana-666	227	30	as	as	ADP
cana-666	227	31	a	a	DET
cana-666	227	32	pressing	press	VERB
cana-666	227	33	concern	concern	NOUN
cana-666	227	34	in	in	ADP
cana-666	227	35	the	the	DET
cana-666	227	36	it	it	NOUN
cana-666	227	37	industry	industry	NOUN
cana-666	227	38	.	.	PUNCT
cana-666	228	1	since	since	SCONJ
cana-666	228	2	people	people	NOUN
cana-666	228	3	constantly	constantly	ADV
cana-666	228	4	reveal	reveal	VERB
cana-666	228	5	private	private	ADJ
cana-666	228	6	information	information	NOUN
cana-666	228	7	online	online	ADV
cana-666	228	8	,	,	PUNCT
cana-666	228	9	security	security	NOUN
cana-666	228	10	of	of	ADP
cana-666	228	11	this	this	DET
cana-666	228	12	kind	kind	NOUN
cana-666	228	13	is	be	AUX
cana-666	228	14	paramount	paramount	ADJ
cana-666	228	15	.	.	PUNCT
cana-666	229	1	that	that	PRON
cana-666	229	2	's	be	AUX
cana-666	229	3	why	why	SCONJ
cana-666	229	4	,	,	PUNCT
cana-666	229	5	an	an	DET
cana-666	229	6	intelligent	intelligent	ADJ
cana-666	229	7	intrusion	intrusion	NOUN
cana-666	229	8	detection	detection	NOUN
cana-666	229	9	system	system	NOUN
cana-666	229	10	will	will	AUX
cana-666	229	11	be	be	AUX
cana-666	229	12	useful	useful	ADJ
cana-666	229	13	.	.	PUNCT
cana-666	230	1	developers	developer	NOUN
cana-666	230	2	face	face	VERB
cana-666	230	3	a	a	DET
cana-666	230	4	difficult	difficult	ADJ
cana-666	230	5	choice	choice	NOUN
cana-666	230	6	when	when	SCONJ
cana-666	230	7	faced	face	VERB
cana-666	230	8	with	with	ADP
cana-666	230	9	a	a	DET
cana-666	230	10	wide	wide	ADJ
cana-666	230	11	variety	variety	NOUN
cana-666	230	12	of	of	ADP
cana-666	230	13	potential	potential	ADJ
cana-666	230	14	solutions	solution	NOUN
cana-666	230	15	to	to	ADP
cana-666	230	16	a	a	DET
cana-666	230	17	given	give	VERB
cana-666	230	18	issue	issue	NOUN
cana-666	230	19	area	area	NOUN
cana-666	230	20	.	.	PUNCT
cana-666	231	1	this	this	DET
cana-666	231	2	paper	paper	NOUN
cana-666	231	3	involved	involve	VERB
cana-666	231	4	the	the	DET
cana-666	231	5	creation	creation	NOUN
cana-666	231	6	and	and	CCONJ
cana-666	231	7	implementation	implementation	NOUN
cana-666	231	8	of	of	ADP
cana-666	231	9	a	a	DET
cana-666	231	10	sophisticated	sophisticated	ADJ
cana-666	231	11	deep	deep	ADJ
cana-666	231	12	learning	learning	NOUN
cana-666	231	13	and	and	CCONJ
cana-666	231	14	machine	machine	NOUN
cana-666	231	15	learning	learning	NOUN
cana-666	231	16	model	model	NOUN
cana-666	231	17	.	.	PUNCT
cana-666	232	1	the	the	DET
cana-666	232	2	model	model	NOUN
cana-666	232	3	's	's	PART
cana-666	232	4	purpose	purpose	NOUN
cana-666	232	5	was	be	AUX
cana-666	232	6	to	to	PART
cana-666	232	7	detect	detect	VERB
cana-666	232	8	and	and	CCONJ
cana-666	232	9	classify	classify	VERB
cana-666	232	10	malicious	malicious	ADJ
cana-666	232	11	behavior	behavior	NOUN
cana-666	232	12	in	in	ADP
cana-666	232	13	network	network	NOUN
cana-666	232	14	data	datum	NOUN
cana-666	232	15	,	,	PUNCT
cana-666	232	16	accurately	accurately	ADV
cana-666	232	17	assigning	assign	VERB
cana-666	232	18	it	it	PRON
cana-666	232	19	to	to	ADP
cana-666	232	20	one	one	NUM
cana-666	232	21	of	of	ADP
cana-666	232	22	15	15	NUM
cana-666	232	23	specific	specific	ADJ
cana-666	232	24	attack	attack	NOUN
cana-666	232	25	categories	category	NOUN
cana-666	232	26	.	.	PUNCT
cana-666	233	1	the	the	DET
cana-666	233	2	several	several	ADJ
cana-666	233	3	tests	test	NOUN
cana-666	233	4	are	be	AUX
cana-666	233	5	conducted	conduct	VERB
cana-666	233	6	on	on	ADP
cana-666	233	7	the	the	DET
cana-666	233	8	cicids2017	cicids2017	NOUN
cana-666	233	9	dataset	dataset	NOUN
cana-666	233	10	,	,	PUNCT
cana-666	233	11	which	which	PRON
cana-666	233	12	is	be	AUX
cana-666	233	13	generally	generally	ADV
cana-666	233	14	acknowledged	acknowledge	VERB
cana-666	233	15	as	as	ADP
cana-666	233	16	a	a	DET
cana-666	233	17	research	research	NOUN
cana-666	233	18	standard	standard	NOUN
cana-666	233	19	,	,	PUNCT
cana-666	233	20	to	to	PART
cana-666	233	21	evaluate	evaluate	VERB
cana-666	233	22	the	the	DET
cana-666	233	23	suggested	suggest	VERB
cana-666	233	24	technique	technique	NOUN
cana-666	233	25	.	.	PUNCT
cana-666	234	1	to	to	PART
cana-666	234	2	evaluate	evaluate	VERB
cana-666	234	3	the	the	DET
cana-666	234	4	proposed	propose	VERB
cana-666	234	5	model	model	NOUN
cana-666	234	6	's	's	PART
cana-666	234	7	capacity	capacity	NOUN
cana-666	234	8	to	to	PART
cana-666	234	9	detect	detect	VERB
cana-666	234	10	attack	attack	NOUN
cana-666	234	11	data	datum	NOUN
cana-666	234	12	,	,	PUNCT
cana-666	234	13	both	both	PRON
cana-666	234	14	normal	normal	ADJ
cana-666	234	15	traffic	traffic	NOUN
cana-666	234	16	data	datum	NOUN
cana-666	234	17	and	and	CCONJ
cana-666	234	18	a	a	DET
cana-666	234	19	subset	subset	NOUN
cana-666	234	20	communications	communication	NOUN
cana-666	234	21	on	on	ADP
cana-666	234	22	applied	apply	VERB
cana-666	234	23	nonlinear	nonlinear	ADJ
cana-666	234	24	analysis	analysis	NOUN
cana-666	234	25	issn	issn	NOUN
cana-666	234	26	:	:	PUNCT
cana-666	234	27	1074	1074	NUM
cana-666	234	28	-	-	PUNCT
cana-666	234	29	133x	133x	NUM
cana-666	234	30	vol	vol	NOUN
cana-666	234	31	31	31	NUM
cana-666	234	32	no	no	NOUN
cana-666	234	33	.	.	PUNCT
cana-666	235	1	2s	2s	NUM
cana-666	235	2	(	(	PUNCT
cana-666	235	3	2024	2024	NUM
cana-666	235	4	)	)	PUNCT
cana-666	235	5	559	559	NUM
cana-666	235	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	235	7	of	of	ADP
cana-666	235	8	attack	attack	NOUN
cana-666	235	9	data	datum	NOUN
cana-666	235	10	representing	represent	VERB
cana-666	235	11	14	14	NUM
cana-666	235	12	common	common	ADJ
cana-666	235	13	forms	form	NOUN
cana-666	235	14	of	of	ADP
cana-666	235	15	attacks	attack	NOUN
cana-666	235	16	were	be	AUX
cana-666	235	17	chosen	choose	VERB
cana-666	235	18	.	.	PUNCT
cana-666	236	1	data	datum	NOUN
cana-666	236	2	analysis	analysis	NOUN
cana-666	236	3	and	and	CCONJ
cana-666	236	4	pre	pre	ADJ
cana-666	236	5	-	-	ADJ
cana-666	236	6	processing	processing	NOUN
cana-666	236	7	allowed	allow	VERB
cana-666	236	8	us	we	PRON
cana-666	236	9	to	to	PART
cana-666	236	10	drastically	drastically	ADV
cana-666	236	11	significantly	significantly	ADV
cana-666	236	12	decrease	decrease	VERB
cana-666	236	13	the	the	DET
cana-666	236	14	number	number	NOUN
cana-666	236	15	of	of	ADP
cana-666	236	16	features	feature	NOUN
cana-666	236	17	inputted	inputte	VERB
cana-666	236	18	into	into	ADP
cana-666	236	19	the	the	DET
cana-666	236	20	model	model	NOUN
cana-666	236	21	without	without	ADP
cana-666	236	22	compromising	compromise	VERB
cana-666	236	23	accuracy	accuracy	NOUN
cana-666	236	24	.	.	PUNCT
cana-666	237	1	the	the	DET
cana-666	237	2	good	good	ADJ
cana-666	237	3	recall	recall	NOUN
cana-666	237	4	and	and	CCONJ
cana-666	237	5	accuracy	accuracy	NOUN
cana-666	237	6	achieved	achieve	VERB
cana-666	237	7	by	by	ADP
cana-666	237	8	employing	employ	VERB
cana-666	237	9	over	over	ADP
cana-666	237	10	-	-	PUNCT
cana-666	237	11	sampling	sample	VERB
cana-666	237	12	and	and	CCONJ
cana-666	237	13	down	down	ADV
cana-666	237	14	-	-	PUNCT
cana-666	237	15	sampling	sample	VERB
cana-666	237	16	approaches	approach	NOUN
cana-666	237	17	to	to	PART
cana-666	237	18	find	find	VERB
cana-666	237	19	minority	minority	NOUN
cana-666	237	20	classes	class	NOUN
cana-666	237	21	with	with	ADP
cana-666	237	22	relatively	relatively	ADV
cana-666	237	23	few	few	ADJ
cana-666	237	24	samples	sample	NOUN
cana-666	237	25	in	in	ADP
cana-666	237	26	the	the	DET
cana-666	237	27	original	original	ADJ
cana-666	237	28	dataset	dataset	NOUN
cana-666	237	29	.	.	PUNCT
cana-666	238	1	the	the	DET
cana-666	238	2	suggested	suggested	ADJ
cana-666	238	3	model	model	NOUN
cana-666	238	4	is	be	AUX
cana-666	238	5	both	both	PRON
cana-666	238	6	very	very	ADV
cana-666	238	7	straightforward	straightforward	ADJ
cana-666	238	8	and	and	CCONJ
cana-666	238	9	compact	compact	ADJ
cana-666	238	10	,	,	PUNCT
cana-666	238	11	and	and	CCONJ
cana-666	238	12	it	it	PRON
cana-666	238	13	yields	yield	VERB
cana-666	238	14	highly	highly	ADV
cana-666	238	15	encouraging	encouraging	ADJ
cana-666	238	16	results	result	NOUN
cana-666	238	17	in	in	ADP
cana-666	238	18	a	a	DET
cana-666	238	19	multiclass	multiclass	ADJ
cana-666	238	20	classification	classification	NOUN
cana-666	238	21	task	task	NOUN
cana-666	238	22	.	.	PUNCT
cana-666	239	1	based	base	VERB
cana-666	239	2	on	on	ADP
cana-666	239	3	these	these	DET
cana-666	239	4	findings	finding	NOUN
cana-666	239	5	,	,	PUNCT
cana-666	239	6	we	we	PRON
cana-666	239	7	may	may	AUX
cana-666	239	8	conclude	conclude	VERB
cana-666	239	9	that	that	SCONJ
cana-666	239	10	the	the	DET
cana-666	239	11	suggested	suggest	VERB
cana-666	239	12	ids	ids	NOUN
cana-666	239	13	is	be	AUX
cana-666	239	14	99.73	99.73	NUM
cana-666	239	15	%	%	NOUN
cana-666	239	16	accurate	accurate	ADJ
cana-666	239	17	when	when	SCONJ
cana-666	239	18	using	use	VERB
cana-666	239	19	the	the	DET
cana-666	239	20	sd	sd	NOUN
cana-666	239	21	-	-	PUNCT
cana-666	239	22	rnn	rnn	NOUN
cana-666	239	23	model	model	NOUN
cana-666	239	24	.	.	PUNCT
cana-666	240	1	when	when	SCONJ
cana-666	240	2	compared	compare	VERB
cana-666	240	3	to	to	ADP
cana-666	240	4	previous	previous	ADJ
cana-666	240	5	studies	study	NOUN
cana-666	240	6	,	,	PUNCT
cana-666	240	7	our	our	PRON
cana-666	240	8	sd	sd	NOUN
cana-666	240	9	-	-	PUNCT
cana-666	240	10	rnn	rnn	NOUN
cana-666	240	11	model	model	NOUN
cana-666	240	12	clearly	clearly	ADV
cana-666	240	13	achieves	achieve	VERB
cana-666	240	14	the	the	DET
cana-666	240	15	best	good	ADJ
cana-666	240	16	accuracy	accuracy	NOUN
cana-666	240	17	.	.	PUNCT
cana-666	241	1	in	in	ADP
cana-666	241	2	the	the	DET
cana-666	241	3	future	future	NOUN
cana-666	241	4	,	,	PUNCT
cana-666	241	5	the	the	DET
cana-666	241	6	deep	deep	ADJ
cana-666	241	7	learning	learning	NOUN
cana-666	241	8	algorithms	algorithm	NOUN
cana-666	241	9	can	can	AUX
cana-666	241	10	be	be	AUX
cana-666	241	11	implemented	implement	VERB
cana-666	241	12	on	on	ADP
cana-666	241	13	the	the	DET
cana-666	241	14	data	datum	NOUN
cana-666	241	15	from	from	ADP
cana-666	241	16	live	live	ADJ
cana-666	241	17	networks	network	NOUN
cana-666	241	18	traffic	traffic	NOUN
cana-666	241	19	data	datum	NOUN
cana-666	241	20	.	.	PUNCT
cana-666	242	1	in	in	ADP
cana-666	242	2	addition	addition	NOUN
cana-666	242	3	,	,	PUNCT
cana-666	242	4	more	more	ADJ
cana-666	242	5	research	research	NOUN
cana-666	242	6	may	may	AUX
cana-666	242	7	examine	examine	VERB
cana-666	242	8	feature	feature	NOUN
cana-666	242	9	reduction	reduction	NOUN
cana-666	242	10	strategies	strategy	NOUN
cana-666	242	11	to	to	PART
cana-666	242	12	further	far	ADV
cana-666	242	13	minimize	minimize	VERB
cana-666	242	14	the	the	DET
cana-666	242	15	input	input	NOUN
cana-666	242	16	characteristics	characteristic	NOUN
cana-666	242	17	.	.	PUNCT
cana-666	243	1	references	reference	NOUN
cana-666	243	2	[	[	X
cana-666	243	3	1	1	NUM
cana-666	243	4	]	]	PUNCT
cana-666	243	5	al	al	PROPN
cana-666	243	6	lail	lail	PROPN
cana-666	243	7	,	,	PUNCT
cana-666	243	8	mustafa	mustafa	PROPN
cana-666	243	9	,	,	PUNCT
cana-666	243	10	alejandro	alejandro	PROPN
cana-666	243	11	garcia	garcia	PROPN
cana-666	243	12	,	,	PUNCT
cana-666	243	13	and	and	CCONJ
cana-666	243	14	saul	saul	PROPN
cana-666	243	15	olivo	olivo	PROPN
cana-666	243	16	.	.	PUNCT
cana-666	244	1	2023	2023	NUM
cana-666	244	2	.	.	PUNCT
cana-666	245	1	"	"	PUNCT
cana-666	245	2	machine	machine	NOUN
cana-666	245	3	learning	learning	NOUN
cana-666	245	4	for	for	ADP
cana-666	245	5	network	network	NOUN
cana-666	245	6	intrusion	intrusion	NOUN
cana-666	245	7	detection	detection	NOUN
cana-666	245	8	—	—	PUNCT
cana-666	245	9	a	a	DET
cana-666	245	10	comparative	comparative	ADJ
cana-666	245	11	study	study	NOUN
cana-666	245	12	"	"	PUNCT
cana-666	245	13	future	future	ADJ
cana-666	245	14	internet	internet	NOUN
cana-666	245	15	15	15	NUM
cana-666	245	16	,	,	PUNCT
cana-666	245	17	no	no	INTJ
cana-666	245	18	.	.	NOUN
cana-666	246	1	7	7	NUM
cana-666	246	2	:	:	SYM
cana-666	246	3	243	243	NUM
cana-666	246	4	.	.	PUNCT
cana-666	247	1	https://doi.org/10.3390/fi15070243	https://doi.org/10.3390/fi15070243	PROPN
cana-666	247	2	.	.	PUNCT
cana-666	248	1	[	[	X
cana-666	248	2	2	2	NUM
cana-666	248	3	]	]	PUNCT
cana-666	248	4	zeeshan	zeeshan	PROPN
cana-666	248	5	ahmad	ahmad	PROPN
cana-666	248	6	,	,	PUNCT
cana-666	248	7	adnan	adnan	PROPN
cana-666	248	8	shahid	shahid	PROPN
cana-666	248	9	khan	khan	PROPN
cana-666	248	10	,	,	PUNCT
cana-666	248	11	cheah	cheah	PROPN
cana-666	248	12	wai	wai	PROPN
cana-666	248	13	shiang	shiang	PROPN
cana-666	248	14	,	,	PUNCT
cana-666	248	15	johari	johari	PROPN
cana-666	248	16	abdullah	abdullah	PROPN
cana-666	248	17	,	,	PUNCT
cana-666	248	18	farhan	farhan	PROPN
cana-666	248	19	ahmad	ahmad	PROPN
cana-666	248	20	,	,	PUNCT
cana-666	248	21	“	"	PUNCT
cana-666	248	22	network	network	NOUN
cana-666	248	23	intrusion	intrusion	NOUN
cana-666	248	24	detection	detection	NOUN
cana-666	248	25	system	system	NOUN
cana-666	248	26	:	:	PUNCT
cana-666	248	27	a	a	DET
cana-666	248	28	systematic	systematic	ADJ
cana-666	248	29	study	study	NOUN
cana-666	248	30	of	of	ADP
cana-666	248	31	machine	machine	NOUN
cana-666	248	32	learning	learning	NOUN
cana-666	248	33	and	and	CCONJ
cana-666	248	34	deep	deep	ADJ
cana-666	248	35	learning	learning	NOUN
cana-666	248	36	approaches	approach	NOUN
cana-666	248	37	”	"	PUNCT
cana-666	248	38	,	,	PUNCT
cana-666	248	39	trans	tran	NOUN
cana-666	248	40	emerging	emerge	VERB
cana-666	248	41	tel	tel	PROPN
cana-666	248	42	tech	tech	NOUN
cana-666	248	43	.	.	PUNCT
cana-666	248	44	2021	2021	NUM
cana-666	248	45	;	;	PUNCT
cana-666	248	46	32	32	NUM
cana-666	248	47	:	:	PUNCT
cana-666	248	48	e4150	e4150	NOUN
cana-666	248	49	.	.	PUNCT
cana-666	249	1	https://doi.org/10.1002/ett.4150	https://doi.org/10.1002/ett.4150	INTJ
cana-666	249	2	.	.	PUNCT
cana-666	250	1	[	[	X
cana-666	250	2	3	3	NUM
cana-666	250	3	]	]	X
cana-666	250	4	leevy	leevy	PROPN
cana-666	250	5	,	,	PUNCT
cana-666	250	6	j.l	j.l	PROPN
cana-666	250	7	.	.	PROPN
cana-666	250	8	,	,	PUNCT
cana-666	250	9	khoshgoftaar	khoshgoftaar	PROPN
cana-666	250	10	,	,	PUNCT
cana-666	250	11	t.m	t.m	PROPN
cana-666	250	12	.	.	PUNCT
cana-666	251	1	“	"	PUNCT
cana-666	251	2	a	a	DET
cana-666	251	3	survey	survey	NOUN
cana-666	251	4	and	and	CCONJ
cana-666	251	5	analysis	analysis	NOUN
cana-666	251	6	of	of	ADP
cana-666	251	7	intrusion	intrusion	NOUN
cana-666	251	8	detection	detection	NOUN
cana-666	251	9	models	model	NOUN
cana-666	251	10	based	base	VERB
cana-666	251	11	on	on	ADP
cana-666	251	12	cse	cse	PROPN
cana-666	251	13	-	-	PUNCT
cana-666	251	14	cic	cic	PROPN
cana-666	251	15	-	-	PUNCT
cana-666	251	16	ids2018	ids2018	NOUN
cana-666	251	17	big	big	ADJ
cana-666	251	18	data	datum	NOUN
cana-666	251	19	”	"	PUNCT
cana-666	251	20	.	.	PUNCT
cana-666	252	1	j	j	PROPN
cana-666	252	2	big	big	ADJ
cana-666	252	3	data	datum	NOUN
cana-666	252	4	7	7	NUM
cana-666	252	5	,	,	PUNCT
cana-666	252	6	104	104	NUM
cana-666	252	7	(	(	PUNCT
cana-666	252	8	2020	2020	NUM
cana-666	252	9	)	)	PUNCT
cana-666	252	10	.	.	PUNCT
cana-666	253	1	https://doi.org/10.1186/s40537-020-00382-x	https://doi.org/10.1186/s40537-020-00382-x	X
cana-666	253	2	.	.	PUNCT
cana-666	254	1	[	[	X
cana-666	254	2	4	4	NUM
cana-666	254	3	]	]	PUNCT
cana-666	254	4	emad	emad	PROPN
cana-666	254	5	e.	e.	PROPN
cana-666	254	6	abdallah	abdallah	PROPN
cana-666	254	7	,	,	PUNCT
cana-666	254	8	wafa	wafa	PROPN
cana-666	254	9	’	'	PUNCT
cana-666	254	10	eleisah	eleisah	PROPN
cana-666	254	11	,	,	PUNCT
cana-666	254	12	ahmed	ahmed	PROPN
cana-666	254	13	fawzi	fawzi	PROPN
cana-666	254	14	otoom	otoom	PROPN
cana-666	254	15	,	,	PUNCT
cana-666	254	16	intrusion	intrusion	NOUN
cana-666	254	17	detection	detection	NOUN
cana-666	254	18	systems	system	NOUN
cana-666	254	19	using	use	VERB
cana-666	254	20	supervised	supervised	ADJ
cana-666	254	21	machine	machine	NOUN
cana-666	254	22	learning	learn	VERB
cana-666	254	23	techniques	technique	NOUN
cana-666	254	24	:	:	PUNCT
cana-666	254	25	a	a	DET
cana-666	254	26	survey	survey	NOUN
cana-666	254	27	,	,	PUNCT
cana-666	254	28	procedia	procedia	NOUN
cana-666	254	29	computer	computer	NOUN
cana-666	254	30	science	science	NOUN
cana-666	254	31	,	,	PUNCT
cana-666	254	32	volume	volume	NOUN
cana-666	254	33	201	201	NUM
cana-666	254	34	,	,	PUNCT
cana-666	254	35	2022	2022	NUM
cana-666	254	36	,	,	PUNCT
cana-666	254	37	pages	page	NOUN
cana-666	254	38	205	205	NUM
cana-666	254	39	-	-	SYM
cana-666	254	40	212	212	NUM
cana-666	254	41	,	,	PUNCT
cana-666	254	42	issn	issn	PROPN
cana-666	254	43	1877	1877	NUM
cana-666	254	44	-	-	SYM
cana-666	254	45	0509	0509	NUM
cana-666	254	46	,	,	PUNCT
cana-666	254	47	https://doi.org/10.1016/j.procs.2022.03.029	https://doi.org/10.1016/j.procs.2022.03.029	NOUN
cana-666	254	48	.	.	PUNCT
cana-666	255	1	[	[	X
cana-666	255	2	5	5	X
cana-666	255	3	]	]	PUNCT
cana-666	255	4	yakub	yakub	PROPN
cana-666	255	5	kayode	kayode	PROPN
cana-666	255	6	saheed	saheed	PROPN
cana-666	255	7	,	,	PUNCT
cana-666	255	8	aremu	aremu	PROPN
cana-666	255	9	idris	idris	PROPN
cana-666	255	10	abiodun	abiodun	PROPN
cana-666	255	11	,	,	PUNCT
cana-666	255	12	sanjay	sanjay	PROPN
cana-666	255	13	misra	misra	PROPN
cana-666	255	14	,	,	PUNCT
cana-666	255	15	monica	monica	PROPN
cana-666	255	16	kristiansen	kristiansen	PROPN
cana-666	255	17	holone	holone	PROPN
cana-666	255	18	,	,	PUNCT
cana-666	255	19	ricardo	ricardo	PROPN
cana-666	255	20	colomo	colomo	NOUN
cana-666	255	21	-	-	PUNCT
cana-666	255	22	palacios	palacio	NOUN
cana-666	255	23	,	,	PUNCT
cana-666	255	24	a	a	DET
cana-666	255	25	machine	machine	NOUN
cana-666	255	26	learning	learning	NOUN
cana-666	255	27	-	-	PUNCT
cana-666	255	28	based	base	VERB
cana-666	255	29	intrusion	intrusion	NOUN
cana-666	255	30	detection	detection	NOUN
cana-666	255	31	for	for	ADP
cana-666	255	32	detecting	detect	VERB
cana-666	255	33	internet	internet	NOUN
cana-666	255	34	of	of	ADP
cana-666	255	35	things	thing	NOUN
cana-666	255	36	network	network	NOUN
cana-666	255	37	attacks	attack	NOUN
cana-666	255	38	,	,	PUNCT
cana-666	255	39	alexandria	alexandria	PROPN
cana-666	255	40	engineering	engineering	PROPN
cana-666	255	41	journal	journal	PROPN
cana-666	255	42	,	,	PUNCT
cana-666	255	43	volume	volume	NOUN
cana-666	255	44	61	61	NUM
cana-666	255	45	,	,	PUNCT
cana-666	255	46	issue	issue	NOUN
cana-666	255	47	12	12	NUM
cana-666	255	48	,	,	PUNCT
cana-666	255	49	2022	2022	NUM
cana-666	255	50	,	,	PUNCT
cana-666	255	51	pages	page	NOUN
cana-666	255	52	9395	9395	NUM
cana-666	255	53	-	-	SYM
cana-666	255	54	9409	9409	NUM
cana-666	255	55	,	,	PUNCT
cana-666	255	56	issn	issn	PROPN
cana-666	255	57	1110	1110	NUM
cana-666	255	58	-	-	PUNCT
cana-666	255	59	0168	0168	NUM
cana-666	255	60	,	,	PUNCT
cana-666	255	61	https://doi.org/10.1016/j.aej.2022.02.063	https://doi.org/10.1016/j.aej.2022.02.063	NOUN
cana-666	255	62	.	.	PUNCT
cana-666	256	1	[	[	X
cana-666	256	2	6	6	NUM
cana-666	256	3	]	]	PUNCT
cana-666	256	4	h.	h.	NOUN
cana-666	256	5	güney	güney	PROPN
cana-666	256	6	,	,	PUNCT
cana-666	256	7	"	"	PUNCT
cana-666	256	8	preprocessing	preprocesse	VERB
cana-666	256	9	impact	impact	NOUN
cana-666	256	10	analysis	analysis	NOUN
cana-666	256	11	for	for	ADP
cana-666	256	12	machine	machine	NOUN
cana-666	256	13	learning	learning	NOUN
cana-666	256	14	-	-	PUNCT
cana-666	256	15	based	base	VERB
cana-666	256	16	network	network	NOUN
cana-666	256	17	intrusion	intrusion	NOUN
cana-666	256	18	detection	detection	NOUN
cana-666	256	19	"	"	PUNCT
cana-666	256	20	,	,	PUNCT
cana-666	256	21	sakarya	sakarya	VERB
cana-666	256	22	university	university	NOUN
cana-666	256	23	journal	journal	NOUN
cana-666	256	24	of	of	ADP
cana-666	256	25	computer	computer	NOUN
cana-666	256	26	and	and	CCONJ
cana-666	256	27	information	information	NOUN
cana-666	256	28	sciences	science	NOUN
cana-666	256	29	,	,	PUNCT
cana-666	256	30	vol	vol	NOUN
cana-666	256	31	.	.	PROPN
cana-666	256	32	6	6	NUM
cana-666	256	33	,	,	PUNCT
cana-666	256	34	no	no	INTJ
cana-666	256	35	.	.	NOUN
cana-666	256	36	1	1	NUM
cana-666	256	37	,	,	PUNCT
cana-666	256	38	pp	pp	ADJ
cana-666	256	39	.	.	PUNCT
cana-666	257	1	67	67	NUM
cana-666	257	2	-	-	SYM
cana-666	257	3	79	79	NUM
cana-666	257	4	,	,	PUNCT
cana-666	257	5	apr	apr	NOUN
cana-666	257	6	.	.	PROPN
cana-666	257	7	2023	2023	NUM
cana-666	257	8	,	,	PUNCT
cana-666	257	9	doi:10.35377	doi:10.35377	NOUN
cana-666	257	10	/	/	SYM
cana-666	257	11	saucis	saucis	PROPN
cana-666	257	12	...	...	PUNCT
cana-666	258	1	1223054	1223054	NUM
cana-666	259	1	[	[	X
cana-666	259	2	7	7	X
cana-666	259	3	]	]	PUNCT
cana-666	259	4	a.	a.	NOUN
cana-666	259	5	abubakar	abubakar	PROPN
cana-666	259	6	and	and	CCONJ
cana-666	259	7	b.	b.	PROPN
cana-666	259	8	pranggono	pranggono	PROPN
cana-666	259	9	,	,	PUNCT
cana-666	259	10	"	"	PUNCT
cana-666	259	11	machine	machine	NOUN
cana-666	259	12	learning	learning	NOUN
cana-666	259	13	based	base	VERB
cana-666	259	14	intrusion	intrusion	NOUN
cana-666	259	15	detection	detection	NOUN
cana-666	259	16	system	system	NOUN
cana-666	259	17	for	for	ADP
cana-666	259	18	software	software	NOUN
cana-666	259	19	defined	define	VERB
cana-666	259	20	networks	network	NOUN
cana-666	259	21	,	,	PUNCT
cana-666	259	22	"	"	PUNCT
cana-666	259	23	2017	2017	NUM
cana-666	259	24	seventh	seventh	ADJ
cana-666	259	25	international	international	ADJ
cana-666	259	26	conference	conference	NOUN
cana-666	259	27	on	on	ADP
cana-666	259	28	emerging	emerge	VERB
cana-666	259	29	security	security	NOUN
cana-666	259	30	technologies	technology	NOUN
cana-666	259	31	(	(	PUNCT
cana-666	259	32	est	est	X
cana-666	259	33	)	)	PUNCT
cana-666	259	34	,	,	PUNCT
cana-666	259	35	canterbury	canterbury	PROPN
cana-666	259	36	,	,	PUNCT
cana-666	259	37	uk	uk	PROPN
cana-666	259	38	,	,	PUNCT
cana-666	259	39	2017	2017	NUM
cana-666	259	40	,	,	PUNCT
cana-666	259	41	pp	pp	ADJ
cana-666	259	42	.	.	PUNCT
cana-666	260	1	138143	138143	NUM
cana-666	260	2	,	,	PUNCT
cana-666	260	3	doi	doi	NOUN
cana-666	260	4	:	:	PUNCT
cana-666	260	5	10.1109	10.1109	NUM
cana-666	260	6	/	/	SYM
cana-666	260	7	est.2017.8090413	est.2017.8090413	NOUN
cana-666	260	8	.	.	PUNCT
cana-666	261	1	[	[	X
cana-666	261	2	8	8	X
cana-666	261	3	]	]	X
cana-666	261	4	e.	e.	PROPN
cana-666	261	5	yusuf	yusuf	PROPN
cana-666	261	6	güven	güven	PROPN
cana-666	261	7	,	,	PUNCT
cana-666	261	8	s.	s.	PROPN
cana-666	261	9	gülgün	gülgün	PROPN
cana-666	261	10	,	,	PUNCT
cana-666	261	11	c.	c.	PROPN
cana-666	261	12	manav	manav	PROPN
cana-666	261	13	,	,	PUNCT
cana-666	261	14	b.	b.	PROPN
cana-666	261	15	bakır	bakır	PROPN
cana-666	261	16	and	and	CCONJ
cana-666	261	17	g.	g.	PROPN
cana-666	261	18	zeynep	zeynep	PROPN
cana-666	261	19	gürkaş	gürkaş	X
cana-666	261	20	aydın	aydın	NOUN
cana-666	261	21	,	,	PUNCT
cana-666	261	22	"	"	PUNCT
cana-666	261	23	multiple	multiple	ADJ
cana-666	261	24	classification	classification	NOUN
cana-666	261	25	of	of	ADP
cana-666	261	26	cyberattacks	cyberattack	NOUN
cana-666	261	27	using	use	VERB
cana-666	261	28	machine	machine	NOUN
cana-666	261	29	learning	learning	NOUN
cana-666	261	30	,	,	PUNCT
cana-666	261	31	"	"	PUNCT
cana-666	261	32	electrica	electrica	PROPN
cana-666	261	33	.	.	PROPN
cana-666	261	34	,	,	PUNCT
cana-666	261	35	22(2	22(2	NUM
cana-666	261	36	)	)	PUNCT
cana-666	261	37	,	,	PUNCT
cana-666	261	38	313	313	NUM
cana-666	261	39	-	-	SYM
cana-666	261	40	320	320	NUM
cana-666	261	41	,	,	PUNCT
cana-666	261	42	2022	2022	NUM
cana-666	261	43	.	.	PUNCT
cana-666	262	1	[	[	X
cana-666	262	2	9	9	NUM
cana-666	262	3	]	]	SYM
cana-666	262	4	goryunov	goryunov	NOUN
cana-666	262	5	,	,	PUNCT
cana-666	262	6	maxim	maxim	NOUN
cana-666	262	7	&	&	CCONJ
cana-666	262	8	matskevich	matskevich	PROPN
cana-666	262	9	,	,	PUNCT
cana-666	262	10	andrey	andrey	PROPN
cana-666	262	11	&	&	CCONJ
cana-666	262	12	rybolovlev	rybolovlev	PROPN
cana-666	262	13	,	,	PUNCT
cana-666	262	14	dmitry	dmitry	PROPN
cana-666	262	15	.	.	PUNCT
cana-666	263	1	(	(	PUNCT
cana-666	263	2	2020	2020	NUM
cana-666	263	3	)	)	PUNCT
cana-666	263	4	.	.	PUNCT
cana-666	264	1	synthesis	synthesis	NOUN
cana-666	264	2	of	of	ADP
cana-666	264	3	a	a	DET
cana-666	264	4	machine	machine	NOUN
cana-666	264	5	learning	learn	VERB
cana-666	264	6	model	model	NOUN
cana-666	264	7	for	for	ADP
cana-666	264	8	detecting	detect	VERB
cana-666	264	9	computer	computer	NOUN
cana-666	264	10	attacks	attack	NOUN
cana-666	264	11	based	base	VERB
cana-666	264	12	on	on	ADP
cana-666	264	13	the	the	DET
cana-666	264	14	cicids2017	cicids2017	NOUN
cana-666	264	15	dataset	dataset	NOUN
cana-666	264	16	.	.	PUNCT
cana-666	265	1	proceedings	proceeding	NOUN
cana-666	265	2	of	of	ADP
cana-666	265	3	the	the	DET
cana-666	265	4	institute	institute	NOUN
cana-666	265	5	for	for	ADP
cana-666	265	6	system	system	NOUN
cana-666	265	7	programming	programming	NOUN
cana-666	265	8	of	of	ADP
cana-666	265	9	the	the	DET
cana-666	265	10	ras	ras	PROPN
cana-666	265	11	.	.	PROPN
cana-666	265	12	32	32	NUM
cana-666	265	13	.	.	PUNCT
cana-666	266	1	81	81	NUM
cana-666	266	2	-	-	SYM
cana-666	266	3	94	94	NUM
cana-666	266	4	.	.	PUNCT
cana-666	267	1	10.15514	10.15514	NUM
cana-666	267	2	/	/	SYM
cana-666	267	3	ispras-2020	ispras-2020	NOUN
cana-666	267	4	-	-	PUNCT
cana-666	267	5	32(5)-6	32(5)-6	NUM
cana-666	267	6	.	.	PUNCT
cana-666	268	1	[	[	X
cana-666	268	2	10	10	NUM
cana-666	268	3	]	]	PUNCT
cana-666	268	4	baha	baha	X
cana-666	268	5	rababah	rababah	PROPN
cana-666	268	6	,	,	PUNCT
cana-666	268	7	srija	srija	PROPN
cana-666	268	8	srivastava	srivastava	PROPN
cana-666	268	9	,	,	PUNCT
cana-666	268	10	“	"	PUNCT
cana-666	268	11	hybrid	hybrid	ADJ
cana-666	268	12	model	model	NOUN
cana-666	268	13	for	for	ADP
cana-666	268	14	intrusion	intrusion	NOUN
cana-666	268	15	detection	detection	NOUN
cana-666	268	16	systems	system	NOUN
cana-666	268	17	”	"	PUNCT
cana-666	268	18	,	,	PUNCT
cana-666	268	19	cryptography	cryptography	NOUN
cana-666	268	20	and	and	CCONJ
cana-666	268	21	security	security	NOUN
cana-666	268	22	,	,	PUNCT
cana-666	268	23	https://doi.org/10.48550/arxiv.2003.08585	https://doi.org/10.48550/arxiv.2003.08585	PROPN
cana-666	268	24	[	[	X
cana-666	268	25	11	11	NUM
cana-666	268	26	]	]	X
cana-666	268	27	silva	silva	PROPN
cana-666	268	28	neto	neto	PROPN
cana-666	268	29	,	,	PUNCT
cana-666	268	30	manuel	manuel	PROPN
cana-666	268	31	g.	g.	PROPN
cana-666	268	32	da	da	PROPN
cana-666	268	33	;	;	PUNCT
cana-666	268	34	g.	g.	PROPN
cana-666	268	35	gomes	gomes	PROPN
cana-666	268	36	,	,	PUNCT
cana-666	268	37	danielo	danielo	NOUN
cana-666	268	38	.	.	PUNCT
cana-666	268	39	,	,	PUNCT
cana-666	268	40	“	"	PUNCT
cana-666	268	41	network	network	NOUN
cana-666	268	42	intrusion	intrusion	NOUN
cana-666	268	43	detection	detection	NOUN
cana-666	268	44	systems	system	NOUN
cana-666	268	45	design	design	NOUN
cana-666	268	46	:	:	PUNCT
cana-666	268	47	a	a	DET
cana-666	268	48	machine	machine	NOUN
cana-666	268	49	learning	learn	VERB
cana-666	268	50	approach	approach	NOUN
cana-666	268	51	”	"	PUNCT
cana-666	268	52	,	,	PUNCT
cana-666	268	53	in	in	ADP
cana-666	268	54	:	:	PUNCT
cana-666	268	55	simpósio	simpósio	PROPN
cana-666	268	56	brasileiro	brasileiro	PROPN
cana-666	268	57	de	de	PROPN
cana-666	268	58	redes	redes	PROPN
cana-666	268	59	de	de	PROPN
cana-666	268	60	computadores	computadores	PROPN
cana-666	268	61	e	e	PROPN
cana-666	268	62	sistemas	sistemas	PROPN
cana-666	268	63	distribuídos	distribuído	NOUN
cana-666	268	64	(	(	PUNCT
cana-666	268	65	sbrc	sbrc	NOUN
cana-666	268	66	)	)	PUNCT
cana-666	268	67	,	,	PUNCT
cana-666	268	68	37	37	NUM
cana-666	268	69	.	.	NUM
cana-666	268	70	,	,	PUNCT
cana-666	268	71	2019	2019	NUM
cana-666	268	72	.	.	PUNCT
cana-666	269	1	issn	issn	PROPN
cana-666	269	2	2177	2177	NUM
cana-666	269	3	-	-	SYM
cana-666	269	4	9384	9384	NUM
cana-666	269	5	.	.	PUNCT
cana-666	270	1	doi	doi	NOUN
cana-666	270	2	:	:	PUNCT
cana-666	270	3	https://doi.org/10.5753/sbrc.2019.7413	https://doi.org/10.5753/sbrc.2019.7413	PROPN
cana-666	270	4	.	.	PUNCT
cana-666	271	1	[	[	X
cana-666	271	2	12	12	NUM
cana-666	271	3	]	]	PUNCT
cana-666	271	4	nasheeda	nasheeda	NOUN
cana-666	271	5	p.p	p.p	PROPN
cana-666	271	6	and	and	CCONJ
cana-666	271	7	anusree	anusree	ADJ
cana-666	271	8	b.2022	b.2022	NOUN
cana-666	271	9	,	,	PUNCT
cana-666	271	10	“	"	PUNCT
cana-666	271	11	an	an	DET
cana-666	271	12	intrusion	intrusion	NOUN
cana-666	271	13	detection	detection	NOUN
cana-666	271	14	system	system	NOUN
cana-666	271	15	based	base	VERB
cana-666	271	16	on	on	ADP
cana-666	271	17	cnn	cnn	PROPN
cana-666	271	18	-	-	PUNCT
cana-666	271	19	lstm	lstm	ADJ
cana-666	271	20	hybrid	hybrid	NOUN
cana-666	271	21	network	network	NOUN
cana-666	271	22	on	on	ADP
cana-666	271	23	cicids2017	cicids2017	PROPN
cana-666	271	24	dataset	dataset	NOUN
cana-666	271	25	”	"	PUNCT
cana-666	271	26	.	.	PUNCT
cana-666	272	1	int	int	PROPN
cana-666	272	2	j	j	PROPN
cana-666	272	3	recent	recent	ADJ
cana-666	272	4	sci	sci	PROPN
cana-666	272	5	res	re	NOUN
cana-666	272	6	.	.	PUNCT
cana-666	273	1	13(07	13(07	NUM
cana-666	273	2	)	)	PUNCT
cana-666	273	3	,	,	PUNCT
cana-666	274	1	pp	pp	PROPN
cana-666	274	2	.	.	PUNCT
cana-666	275	1	1881	1881	NUM
cana-666	275	2	-	-	SYM
cana-666	275	3	1888	1888	NUM
cana-666	275	4	.	.	PUNCT
cana-666	276	1	doi	doi	NOUN
cana-666	276	2	:	:	PUNCT
cana-666	276	3	http://dx.doi.org/10.24327/ijrsr.2022.1307.0394	http://dx.doi.org/10.24327/ijrsr.2022.1307.0394	NOUN
cana-666	276	4	[	[	X
cana-666	276	5	13	13	NUM
cana-666	276	6	]	]	X
cana-666	276	7	hatitye	hatitye	PROPN
cana-666	276	8	chindove	chindove	NOUN
cana-666	276	9	and	and	CCONJ
cana-666	276	10	dane	dane	PROPN
cana-666	276	11	brown	brown	PROPN
cana-666	276	12	.	.	PUNCT
cana-666	276	13	2021	2021	NUM
cana-666	276	14	.	.	PUNCT
cana-666	277	1	“	"	PUNCT
cana-666	277	2	adaptive	adaptive	ADJ
cana-666	277	3	machine	machine	NOUN
cana-666	277	4	learning	learning	NOUN
cana-666	277	5	based	base	VERB
cana-666	277	6	network	network	NOUN
cana-666	277	7	intrusion	intrusion	NOUN
cana-666	277	8	detection	detection	NOUN
cana-666	277	9	”	"	PUNCT
cana-666	277	10	.	.	PUNCT
cana-666	278	1	in	in	ADP
cana-666	278	2	proceedings	proceeding	NOUN
cana-666	278	3	of	of	ADP
cana-666	278	4	the	the	DET
cana-666	278	5	international	international	ADJ
cana-666	278	6	conference	conference	NOUN
cana-666	278	7	on	on	ADP
cana-666	278	8	artificial	artificial	ADJ
cana-666	278	9	intelligence	intelligence	NOUN
cana-666	278	10	and	and	CCONJ
cana-666	278	11	its	its	PRON
cana-666	278	12	applications	application	NOUN
cana-666	278	13	(	(	PUNCT
cana-666	278	14	icarti	icarti	PROPN
cana-666	278	15	'	'	NUM
cana-666	278	16	21	21	NUM
cana-666	278	17	)	)	PUNCT
cana-666	278	18	.	.	PUNCT
cana-666	279	1	association	association	NOUN
cana-666	279	2	for	for	ADP
cana-666	279	3	computing	compute	VERB
cana-666	279	4	machinery	machinery	NOUN
cana-666	279	5	,	,	PUNCT
cana-666	279	6	new	new	PROPN
cana-666	279	7	york	york	PROPN
cana-666	279	8	,	,	PUNCT
cana-666	279	9	ny	ny	PROPN
cana-666	279	10	,	,	PUNCT
cana-666	279	11	usa	usa	PROPN
cana-666	279	12	,	,	PUNCT
cana-666	279	13	article	article	NOUN
cana-666	279	14	15	15	NUM
cana-666	279	15	,	,	PUNCT
cana-666	279	16	1–6	1–6	NUM
cana-666	279	17	.	.	PUNCT
cana-666	279	18	https://doi.org/10.1145/3487923.3487938	https://doi.org/10.1145/3487923.3487938	PROPN
cana-666	279	19	.	.	PUNCT
cana-666	280	1	communications	communication	NOUN
cana-666	280	2	on	on	ADP
cana-666	280	3	applied	apply	VERB
cana-666	280	4	nonlinear	nonlinear	ADJ
cana-666	280	5	analysis	analysis	NOUN
cana-666	280	6	issn	issn	NOUN
cana-666	280	7	:	:	PUNCT
cana-666	280	8	1074	1074	NUM
cana-666	280	9	-	-	PUNCT
cana-666	280	10	133x	133x	NUM
cana-666	280	11	vol	vol	NOUN
cana-666	280	12	31	31	NUM
cana-666	280	13	no	no	NOUN
cana-666	280	14	.	.	PUNCT
cana-666	281	1	2s	2s	NUM
cana-666	281	2	(	(	PUNCT
cana-666	281	3	2024	2024	NUM
cana-666	281	4	)	)	PUNCT
cana-666	281	5	560	560	NUM
cana-666	281	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-666	282	1	[	[	X
cana-666	282	2	14	14	NUM
cana-666	282	3	]	]	X
cana-666	282	4	chongzhen	chongzhen	PROPN
cana-666	282	5	zhang	zhang	PROPN
cana-666	282	6	,	,	PUNCT
cana-666	282	7	yanli	yanli	PROPN
cana-666	282	8	chen	chen	PROPN
cana-666	282	9	,	,	PUNCT
cana-666	282	10	yang	yang	PROPN
cana-666	282	11	meng	meng	PROPN
cana-666	282	12	,	,	PUNCT
cana-666	282	13	fangming	fangme	VERB
cana-666	282	14	ruan	ruan	NOUN
cana-666	282	15	,	,	PUNCT
cana-666	282	16	runze	runze	PROPN
cana-666	282	17	chen	chen	PROPN
cana-666	282	18	,	,	PUNCT
cana-666	282	19	yidan	yidan	PROPN
cana-666	282	20	li	li	PROPN
cana-666	282	21	,	,	PUNCT
cana-666	282	22	yaru	yaru	PROPN
cana-666	282	23	yang	yang	PROPN
cana-666	282	24	,	,	PUNCT
cana-666	282	25	"	"	PUNCT
cana-666	282	26	a	a	DET
cana-666	282	27	novel	novel	ADJ
cana-666	282	28	framework	framework	NOUN
cana-666	282	29	design	design	NOUN
cana-666	282	30	of	of	ADP
cana-666	282	31	network	network	NOUN
cana-666	282	32	intrusion	intrusion	NOUN
cana-666	282	33	detection	detection	NOUN
cana-666	282	34	based	base	VERB
cana-666	282	35	on	on	ADP
cana-666	282	36	machine	machine	NOUN
cana-666	282	37	learning	learning	NOUN
cana-666	282	38	techniques	technique	NOUN
cana-666	282	39	"	"	PUNCT
cana-666	282	40	,	,	PUNCT
cana-666	282	41	security	security	NOUN
cana-666	282	42	and	and	CCONJ
cana-666	282	43	communication	communication	NOUN
cana-666	282	44	networks	network	NOUN
cana-666	282	45	,	,	PUNCT
cana-666	282	46	vol	vol	NOUN
cana-666	282	47	.	.	PROPN
cana-666	282	48	2021	2021	NUM
cana-666	282	49	,	,	PUNCT
cana-666	282	50	article	article	NOUN
cana-666	282	51	i	i	PROPN
cana-666	282	52	d	d	PROPN
cana-666	282	53	6610675	6610675	NUM
cana-666	282	54	,	,	PUNCT
cana-666	282	55	15	15	NUM
cana-666	282	56	pages	page	NOUN
cana-666	282	57	,	,	PUNCT
cana-666	282	58	2021	2021	NUM
cana-666	282	59	.	.	PUNCT
cana-666	283	1	https://doi.org/10.1155/2021/6610675	https://doi.org/10.1155/2021/6610675	PROPN
cana-666	284	1	[	[	X
cana-666	284	2	15	15	NUM
cana-666	284	3	]	]	X
cana-666	284	4	pengfei	pengfei	PROPN
cana-666	284	5	sun	sun	PROPN
cana-666	284	6	,	,	PUNCT
cana-666	284	7	pengju	pengju	PROPN
cana-666	284	8	liu	liu	PROPN
cana-666	284	9	,	,	PUNCT
cana-666	284	10	qi	qi	PROPN
cana-666	284	11	li	li	PROPN
cana-666	284	12	,	,	PUNCT
cana-666	284	13	chenxi	chenxi	PROPN
cana-666	284	14	liu	liu	PROPN
cana-666	284	15	,	,	PUNCT
cana-666	284	16	xiangling	xiangle	VERB
cana-666	284	17	lu	lu	PROPN
cana-666	284	18	,	,	PUNCT
cana-666	284	19	ruochen	ruochen	PROPN
cana-666	284	20	hao	hao	PROPN
cana-666	284	21	,	,	PUNCT
cana-666	284	22	jinpeng	jinpeng	PROPN
cana-666	284	23	chen	chen	PROPN
cana-666	284	24	,	,	PUNCT
cana-666	284	25	"	"	PUNCT
cana-666	284	26	dl	dl	NOUN
cana-666	284	27	-	-	PUNCT
cana-666	284	28	ids	ids	NOUN
cana-666	284	29	:	:	PUNCT
cana-666	284	30	extracting	extract	VERB
cana-666	284	31	features	feature	NOUN
cana-666	284	32	using	use	VERB
cana-666	284	33	cnn	cnn	PROPN
cana-666	284	34	-	-	PUNCT
cana-666	284	35	lstm	lstm	ADJ
cana-666	284	36	hybrid	hybrid	NOUN
cana-666	284	37	network	network	NOUN
cana-666	284	38	for	for	ADP
cana-666	284	39	intrusion	intrusion	NOUN
cana-666	284	40	detection	detection	NOUN
cana-666	284	41	system	system	NOUN
cana-666	284	42	"	"	PUNCT
cana-666	284	43	,	,	PUNCT
cana-666	284	44	security	security	NOUN
cana-666	284	45	and	and	CCONJ
cana-666	284	46	communication	communication	NOUN
cana-666	284	47	networks	network	NOUN
cana-666	284	48	,	,	PUNCT
cana-666	284	49	vol	vol	NOUN
cana-666	284	50	.	.	PUNCT
cana-666	284	51	2020	2020	NUM
cana-666	284	52	,	,	PUNCT
cana-666	284	53	article	article	NOUN
cana-666	284	54	i	i	PROPN
cana-666	284	55	d	d	PROPN
cana-666	284	56	8890306	8890306	NUM
cana-666	284	57	,	,	PUNCT
cana-666	284	58	11	11	NUM
cana-666	284	59	pages	page	NOUN
cana-666	284	60	,	,	PUNCT
cana-666	284	61	2020	2020	NUM
cana-666	284	62	.	.	PUNCT
cana-666	285	1	https://doi.org/10.1155/2020/8890306	https://doi.org/10.1155/2020/8890306	PROPN
cana-666	286	1	[	[	X
cana-666	286	2	16	16	NUM
cana-666	286	3	]	]	X
cana-666	286	4	g.	g.	PROPN
cana-666	286	5	çetin	çetin	PROPN
cana-666	286	6	,	,	PUNCT
cana-666	286	7	"	"	PUNCT
cana-666	286	8	an	an	DET
cana-666	286	9	effective	effective	ADJ
cana-666	286	10	classifier	classifier	NOUN
cana-666	286	11	model	model	NOUN
cana-666	286	12	for	for	ADP
cana-666	286	13	imbalanced	imbalanced	ADJ
cana-666	286	14	network	network	NOUN
cana-666	286	15	attack	attack	NOUN
cana-666	286	16	data	datum	NOUN
cana-666	286	17	,	,	PUNCT
cana-666	286	18	"	"	PUNCT
cana-666	286	19	computers	computer	NOUN
cana-666	286	20	,	,	PUNCT
cana-666	286	21	materials	material	NOUN
cana-666	286	22	&	&	CCONJ
cana-666	286	23	continua	continua	PROPN
cana-666	286	24	,	,	PUNCT
cana-666	286	25	vol	vol	NOUN
cana-666	286	26	.	.	PROPN
cana-666	286	27	73	73	NUM
cana-666	286	28	,	,	PUNCT
cana-666	286	29	no.3	no.3	VERB
cana-666	286	30	,	,	PUNCT
cana-666	286	31	pp	pp	X
cana-666	286	32	.	.	PUNCT
cana-666	287	1	4519–4539	4519–4539	NOUN
cana-666	287	2	,	,	PUNCT
cana-666	287	3	2022	2022	NUM
cana-666	287	4	.	.	PUNCT
cana-666	288	1	[	[	X
cana-666	288	2	17	17	NUM
cana-666	288	3	]	]	PUNCT
cana-666	288	4	p.	p.	NOUN
cana-666	288	5	toupas	toupas	PROPN
cana-666	288	6	,	,	PUNCT
cana-666	288	7	d.	d.	PROPN
cana-666	288	8	chamou	chamou	PROPN
cana-666	288	9	,	,	PUNCT
cana-666	288	10	k.	k.	PROPN
cana-666	288	11	m.	m.	PROPN
cana-666	288	12	giannoutakis	giannoutakis	PROPN
cana-666	288	13	,	,	PUNCT
cana-666	288	14	a.	a.	PROPN
cana-666	288	15	drosou	drosou	PROPN
cana-666	288	16	and	and	CCONJ
cana-666	288	17	d.	d.	PROPN
cana-666	288	18	tzovaras	tzovaras	PROPN
cana-666	288	19	,	,	PUNCT
cana-666	288	20	"	"	PUNCT
cana-666	288	21	an	an	DET
cana-666	288	22	intrusion	intrusion	NOUN
cana-666	288	23	detection	detection	NOUN
cana-666	288	24	system	system	NOUN
cana-666	288	25	for	for	ADP
cana-666	288	26	multiclass	multiclass	ADJ
cana-666	288	27	classification	classification	NOUN
cana-666	288	28	based	base	VERB
cana-666	288	29	on	on	ADP
cana-666	288	30	deep	deep	ADJ
cana-666	288	31	neural	neural	ADJ
cana-666	288	32	networks	network	NOUN
cana-666	288	33	,	,	PUNCT
cana-666	288	34	"	"	PUNCT
cana-666	288	35	2019	2019	NUM
cana-666	288	36	18th	18th	ADJ
cana-666	288	37	ieee	ieee	NOUN
cana-666	288	38	international	international	ADJ
cana-666	288	39	conference	conference	NOUN
cana-666	288	40	on	on	ADP
cana-666	288	41	machine	machine	NOUN
cana-666	288	42	learning	learning	NOUN
cana-666	288	43	and	and	CCONJ
cana-666	288	44	applications	application	NOUN
cana-666	288	45	(	(	PUNCT
cana-666	288	46	icmla	icmla	NOUN
cana-666	288	47	)	)	PUNCT
cana-666	288	48	,	,	PUNCT
cana-666	288	49	boca	boca	PROPN
cana-666	288	50	raton	raton	PROPN
cana-666	288	51	,	,	PUNCT
cana-666	288	52	fl	fl	PROPN
cana-666	288	53	,	,	PUNCT
cana-666	288	54	usa	usa	PROPN
cana-666	288	55	,	,	PUNCT
cana-666	288	56	2019	2019	NUM
cana-666	288	57	,	,	PUNCT
cana-666	288	58	pp	pp	ADJ
cana-666	288	59	.	.	PUNCT
cana-666	289	1	1253	1253	NUM
cana-666	289	2	-	-	SYM
cana-666	289	3	1258	1258	NUM
cana-666	289	4	,	,	PUNCT
cana-666	289	5	doi	doi	NOUN
cana-666	289	6	:	:	PUNCT
cana-666	289	7	10.1109	10.1109	NUM
cana-666	289	8	/	/	SYM
cana-666	289	9	icmla.2019.00206	icmla.2019.00206	NOUN
cana-666	289	10	.	.	PUNCT
cana-666	290	1	[	[	X
cana-666	290	2	18	18	NUM
cana-666	290	3	]	]	SYM
cana-666	290	4	panwar	panwar	PROPN
cana-666	290	5	,	,	PUNCT
cana-666	290	6	lokesh	lokesh	PROPN
cana-666	290	7	&	&	CCONJ
cana-666	290	8	panwar	panwar	PROPN
cana-666	290	9	,	,	PUNCT
cana-666	290	10	shailesh	shailesh	ADJ
cana-666	290	11	.	.	PUNCT
cana-666	291	1	(	(	PUNCT
cana-666	291	2	2019	2019	NUM
cana-666	291	3	)	)	PUNCT
cana-666	291	4	.	.	PUNCT
cana-666	292	1	“	"	PUNCT
cana-666	292	2	implementation	implementation	NOUN
cana-666	292	3	of	of	ADP
cana-666	292	4	machine	machine	NOUN
cana-666	292	5	learning	learn	VERB
cana-666	292	6	algorithms	algorithm	NOUN
cana-666	292	7	on	on	ADP
cana-666	292	8	cicids-2017	cicids-2017	ADJ
cana-666	292	9	dataset	dataset	VERB
cana-666	292	10	for	for	ADP
cana-666	292	11	intrusion	intrusion	NOUN
cana-666	292	12	detection	detection	NOUN
cana-666	292	13	using	use	VERB
cana-666	292	14	weka	weka	PROPN
cana-666	292	15	”	"	PUNCT
cana-666	292	16	.	.	PUNCT
cana-666	293	1	8	8	NUM
cana-666	293	2	.	.	NOUN
cana-666	293	3	2195	2195	NUM
cana-666	293	4	.	.	PUNCT
cana-666	294	1	10.35940	10.35940	NUM
cana-666	294	2	/	/	SYM
cana-666	294	3	ijrte.c4587.098319	ijrte.c4587.098319	PROPN
cana-666	294	4	.	.	PUNCT
cana-666	295	1	[	[	X
cana-666	295	2	19	19	NUM
cana-666	295	3	]	]	X
cana-666	295	4	jose	jose	PROPN
cana-666	295	5	,	,	PUNCT
cana-666	295	6	jinsi	jinsi	PROPN
cana-666	295	7	&	&	CCONJ
cana-666	295	8	jose	jose	PROPN
cana-666	295	9	,	,	PUNCT
cana-666	295	10	deepa	deepa	PROPN
cana-666	295	11	.	.	PUNCT
cana-666	296	1	(	(	PUNCT
cana-666	296	2	2023	2023	NUM
cana-666	296	3	)	)	PUNCT
cana-666	296	4	.	.	PUNCT
cana-666	297	1	deep	deep	ADJ
cana-666	297	2	learning	learn	VERB
cana-666	297	3	algorithms	algorithm	NOUN
cana-666	297	4	for	for	ADP
cana-666	297	5	intrusion	intrusion	NOUN
cana-666	297	6	detection	detection	NOUN
cana-666	297	7	systems	system	NOUN
cana-666	297	8	in	in	ADP
cana-666	297	9	internet	internet	NOUN
cana-666	297	10	of	of	ADP
cana-666	297	11	things	thing	NOUN
cana-666	297	12	using	use	VERB
cana-666	297	13	cic	cic	PROPN
cana-666	297	14	-	-	PUNCT
cana-666	297	15	ids	ids	PROPN
cana-666	297	16	2017	2017	NUM
cana-666	297	17	dataset	dataset	NOUN
cana-666	297	18	.	.	PUNCT
cana-666	298	1	international	international	ADJ
cana-666	298	2	journal	journal	PROPN
cana-666	298	3	of	of	ADP
cana-666	298	4	electrical	electrical	ADJ
cana-666	298	5	and	and	CCONJ
cana-666	298	6	computer	computer	NOUN
cana-666	298	7	engineering	engineering	NOUN
cana-666	298	8	(	(	PUNCT
cana-666	298	9	ijece	ijece	PROPN
cana-666	298	10	)	)	PUNCT
cana-666	298	11	.	.	PUNCT
cana-666	299	1	13	13	NUM
cana-666	299	2	.	.	X
cana-666	299	3	1134	1134	NUM
cana-666	299	4	.	.	PUNCT
cana-666	299	5	10.11591	10.11591	NUM
cana-666	299	6	/	/	SYM
cana-666	299	7	ijece.v13i1.pp1134	ijece.v13i1.pp1134	NOUN
cana-666	299	8	-	-	PUNCT
cana-666	299	9	1141	1141	NUM
cana-666	299	10	.	.	PUNCT
cana-666	300	1	[	[	X
cana-666	300	2	20	20	NUM
cana-666	300	3	]	]	PUNCT
cana-666	300	4	akshay	akshay	PROPN
cana-666	300	5	kumaar	kumaar	PROPN
cana-666	300	6	m	m	PROPN
cana-666	300	7	,	,	PUNCT
cana-666	300	8	samiayya	samiayya	PROPN
cana-666	300	9	d	d	PROPN
cana-666	300	10	,	,	PUNCT
cana-666	300	11	vincent	vincent	PROPN
cana-666	300	12	pmdr	pmdr	PROPN
cana-666	300	13	,	,	PUNCT
cana-666	300	14	srinivasan	srinivasan	PROPN
cana-666	300	15	k	k	PROPN
cana-666	300	16	,	,	PUNCT
cana-666	300	17	chang	chang	PROPN
cana-666	300	18	cy	cy	PROPN
cana-666	300	19	,	,	PUNCT
cana-666	300	20	ganesh	ganesh	PROPN
cana-666	300	21	h.	h.	PROPN
cana-666	300	22	a	a	DET
cana-666	300	23	hybrid	hybrid	ADJ
cana-666	300	24	framework	framework	NOUN
cana-666	300	25	for	for	ADP
cana-666	300	26	intrusion	intrusion	NOUN
cana-666	300	27	detection	detection	NOUN
cana-666	300	28	in	in	ADP
cana-666	300	29	healthcare	healthcare	NOUN
cana-666	300	30	systems	system	NOUN
cana-666	300	31	using	use	VERB
cana-666	300	32	deep	deep	ADJ
cana-666	300	33	learning	learning	NOUN
cana-666	300	34	.	.	PUNCT
cana-666	301	1	front	front	ADJ
cana-666	301	2	public	public	ADJ
cana-666	301	3	health	health	NOUN
cana-666	301	4	.	.	PUNCT
cana-666	302	1	2022	2022	NUM
cana-666	302	2	jan	jan	PROPN
cana-666	302	3	12;9:824898	12;9:824898	PROPN
cana-666	302	4	.	.	PUNCT
cana-666	303	1	doi	doi	NOUN
cana-666	303	2	:	:	PUNCT
cana-666	303	3	10.3389	10.3389	NUM
cana-666	303	4	/	/	SYM
cana-666	303	5	fpubh.2021.824898	fpubh.2021.824898	PROPN
cana-666	303	6	.	.	PUNCT
cana-666	304	1	pmid	pmid	NOUN
cana-666	304	2	:	:	PUNCT
cana-666	304	3	35096763	35096763	NUM
cana-666	304	4	;	;	PUNCT
cana-666	304	5	pmcid	pmcid	NOUN
cana-666	304	6	:	:	PUNCT
cana-666	304	7	pmc8790147	pmc8790147	NOUN
cana-666	304	8	.	.	PUNCT
cana-666	305	1	[	[	X
cana-666	305	2	21	21	NUM
cana-666	305	3	]	]	X
cana-666	305	4	zachariah	zachariah	PROPN
cana-666	305	5	pelletier	pelletier	PROPN
cana-666	305	6	and	and	CCONJ
cana-666	305	7	munther	munther	NOUN
cana-666	305	8	abualkibash	abualkibash	NOUN
cana-666	305	9	,	,	PUNCT
cana-666	305	10	“	"	PUNCT
cana-666	305	11	evaluating	evaluate	VERB
cana-666	305	12	the	the	DET
cana-666	305	13	cic	cic	PROPN
cana-666	305	14	ids-2017	ids-2017	NOUN
cana-666	305	15	dataset	dataset	VERB
cana-666	305	16	using	use	VERB
cana-666	305	17	machine	machine	NOUN
cana-666	305	18	learning	learning	NOUN
cana-666	305	19	methods	method	NOUN
cana-666	305	20	and	and	CCONJ
cana-666	305	21	creating	create	VERB
cana-666	305	22	multiple	multiple	ADJ
cana-666	305	23	predictive	predictive	ADJ
cana-666	305	24	models	model	NOUN
cana-666	305	25	in	in	ADP
cana-666	305	26	the	the	DET
cana-666	305	27	statistical	statistical	ADJ
cana-666	305	28	computing	computing	NOUN
cana-666	305	29	language	language	NOUN
cana-666	305	30	r	r	NOUN
cana-666	305	31	,	,	PUNCT
cana-666	305	32	”	"	PUNCT
cana-666	305	33	international	international	ADJ
cana-666	305	34	research	research	NOUN
cana-666	305	35	journal	journal	NOUN
cana-666	305	36	of	of	ADP
cana-666	305	37	advanced	advanced	ADJ
cana-666	305	38	engineering	engineering	NOUN
cana-666	305	39	and	and	CCONJ
cana-666	305	40	science	science	NOUN
cana-666	305	41	,	,	PUNCT
cana-666	305	42	volume	volume	NOUN
cana-666	305	43	5	5	NUM
cana-666	305	44	,	,	PUNCT
cana-666	305	45	issue	issue	NOUN
cana-666	305	46	2	2	NUM
cana-666	305	47	,	,	PUNCT
cana-666	305	48	pp	pp	ADJ
cana-666	305	49	.	.	PUNCT
cana-666	306	1	187	187	NUM
cana-666	306	2	-	-	SYM
cana-666	306	3	191	191	NUM
cana-666	306	4	,	,	PUNCT
cana-666	306	5	2020	2020	NUM
cana-666	306	6	.	.	PUNCT
cana-666	307	1	[	[	X
cana-666	307	2	22	22	NUM
cana-666	307	3	]	]	PUNCT
cana-666	307	4	z.	z.	PROPN
cana-666	307	5	k.	k.	PROPN
cana-666	307	6	maseer	maseer	PROPN
cana-666	307	7	,	,	PUNCT
cana-666	307	8	r.	r.	PROPN
cana-666	307	9	yusof	yusof	PROPN
cana-666	307	10	,	,	PUNCT
cana-666	307	11	n.	n.	PROPN
cana-666	307	12	bahaman	bahaman	PROPN
cana-666	307	13	,	,	PUNCT
cana-666	307	14	s.	s.	PROPN
cana-666	307	15	a.	a.	PROPN
cana-666	307	16	mostafa	mostafa	PROPN
cana-666	307	17	and	and	CCONJ
cana-666	307	18	c.	c.	PROPN
cana-666	307	19	f.	f.	PROPN
cana-666	307	20	m.	m.	PROPN
cana-666	307	21	foozy	foozy	PROPN
cana-666	307	22	,	,	PUNCT
cana-666	307	23	"	"	PUNCT
cana-666	307	24	benchmarking	benchmarke	VERB
cana-666	307	25	of	of	ADP
cana-666	307	26	machine	machine	NOUN
cana-666	307	27	learning	learn	VERB
cana-666	307	28	for	for	ADP
cana-666	307	29	anomaly	anomaly	NOUN
cana-666	307	30	based	base	VERB
cana-666	307	31	intrusion	intrusion	NOUN
cana-666	307	32	detection	detection	NOUN
cana-666	307	33	systems	system	NOUN
cana-666	307	34	in	in	ADP
cana-666	307	35	the	the	DET
cana-666	307	36	cicids2017	cicids2017	NOUN
cana-666	307	37	dataset	dataset	NOUN
cana-666	307	38	,	,	PUNCT
cana-666	307	39	"	"	PUNCT
cana-666	307	40	in	in	ADP
cana-666	307	41	ieee	ieee	NOUN
cana-666	307	42	access	access	NOUN
cana-666	307	43	,	,	PUNCT
cana-666	307	44	vol	vol	NOUN
cana-666	307	45	.	.	NOUN
cana-666	307	46	9	9	NUM
cana-666	307	47	,	,	PUNCT
cana-666	307	48	pp	pp	ADJ
cana-666	307	49	.	.	PUNCT
cana-666	308	1	22351	22351	NUM
cana-666	308	2	-	-	SYM
cana-666	308	3	22370	22370	NUM
cana-666	308	4	,	,	PUNCT
cana-666	308	5	2021	2021	NUM
cana-666	308	6	,	,	PUNCT
cana-666	308	7	doi	doi	NOUN
cana-666	308	8	:	:	PUNCT
cana-666	308	9	10.1109	10.1109	NUM
cana-666	308	10	/	/	SYM
cana-666	308	11	access.2021.3056614	access.2021.3056614	NOUN
cana-666	308	12	.	.	PUNCT
cana-666	309	1	[	[	X
cana-666	309	2	23	23	NUM
cana-666	309	3	]	]	X
cana-666	309	4	elnakib	elnakib	NOUN
cana-666	309	5	,	,	PUNCT
cana-666	309	6	o.	o.	PROPN
cana-666	309	7	,	,	PUNCT
cana-666	309	8	shaaban	shaaban	PROPN
cana-666	309	9	,	,	PUNCT
cana-666	309	10	e.	e.	PROPN
cana-666	309	11	,	,	PUNCT
cana-666	309	12	mahmoud	mahmoud	PROPN
cana-666	309	13	,	,	PUNCT
cana-666	309	14	m.	m.	NOUN
cana-666	309	15	et	et	PROPN
cana-666	309	16	al	al	PROPN
cana-666	309	17	.	.	PUNCT
cana-666	310	1	“	"	PUNCT
cana-666	310	2	eidm	eidm	ADJ
cana-666	310	3	:	:	PUNCT
cana-666	310	4	deep	deep	ADJ
cana-666	310	5	learning	learning	NOUN
cana-666	310	6	model	model	NOUN
cana-666	310	7	for	for	ADP
cana-666	310	8	iot	iot	PROPN
cana-666	310	9	intrusion	intrusion	PROPN
cana-666	310	10	detection	detection	NOUN
cana-666	310	11	systems	system	NOUN
cana-666	310	12	”	"	PUNCT
cana-666	310	13	.	.	PUNCT
cana-666	311	1	j	j	PROPN
cana-666	311	2	supercomput	supercomput	VERB
cana-666	311	3	79	79	NUM
cana-666	311	4	,	,	PUNCT
cana-666	311	5	13241–13261	13241–13261	NUM
cana-666	311	6	(	(	PUNCT
cana-666	311	7	2023	2023	NUM
cana-666	311	8	)	)	PUNCT
cana-666	311	9	.	.	PUNCT
cana-666	312	1	https://doi.org/10.1007/s11227-023-05197-0	https://doi.org/10.1007/s11227-023-05197-0	PROPN
cana-666	312	2	.	.	PUNCT
cana-666	313	1	[	[	X
cana-666	313	2	24	24	NUM
cana-666	313	3	]	]	PUNCT
cana-666	313	4	rodríguez	rodríguez	NOUN
cana-666	313	5	,	,	PUNCT
cana-666	313	6	maría	maría	PROPN
cana-666	313	7	,	,	PUNCT
cana-666	313	8	álvaro	álvaro	PROPN
cana-666	313	9	alesanco	alesanco	PROPN
cana-666	313	10	,	,	PUNCT
cana-666	313	11	lorena	lorena	PROPN
cana-666	313	12	mehavilla	mehavilla	PROPN
cana-666	313	13	,	,	PUNCT
cana-666	313	14	and	and	CCONJ
cana-666	313	15	josé	josé	PROPN
cana-666	313	16	garcía	garcía	PROPN
cana-666	313	17	.	.	PUNCT
cana-666	313	18	2022	2022	NUM
cana-666	313	19	.	.	PUNCT
cana-666	314	1	"	"	PUNCT
cana-666	314	2	evaluation	evaluation	NOUN
cana-666	314	3	of	of	ADP
cana-666	314	4	machine	machine	NOUN
cana-666	314	5	learning	learn	VERB
cana-666	314	6	techniques	technique	NOUN
cana-666	314	7	for	for	ADP
cana-666	314	8	traffic	traffic	NOUN
cana-666	314	9	flow	flow	NOUN
cana-666	314	10	-	-	PUNCT
cana-666	314	11	based	base	VERB
cana-666	314	12	intrusion	intrusion	NOUN
cana-666	314	13	detection	detection	NOUN
cana-666	314	14	"	"	PUNCT
cana-666	314	15	sensors	sensor	NOUN
cana-666	314	16	22	22	NUM
cana-666	314	17	,	,	PUNCT
cana-666	314	18	no	no	INTJ
cana-666	314	19	.	.	NOUN
cana-666	314	20	23	23	NUM
cana-666	314	21	:	:	SYM
cana-666	314	22	9326	9326	NUM
cana-666	314	23	.	.	PUNCT
cana-666	315	1	https://doi.org/10.3390/s22239326	https://doi.org/10.3390/s22239326	NUM
cana-666	315	2	.	.	PUNCT
cana-666	316	1	[	[	X
cana-666	316	2	25	25	NUM
cana-666	316	3	]	]	X
cana-666	316	4	singh	singh	PROPN
cana-666	316	5	panwar	panwar	PROPN
cana-666	316	6	,	,	PUNCT
cana-666	316	7	shailesh	shailesh	ADJ
cana-666	316	8	and	and	CCONJ
cana-666	316	9	raiwani	raiwani	NOUN
cana-666	316	10	,	,	PUNCT
cana-666	316	11	y.	y.	PROPN
cana-666	316	12	p.	p.	PROPN
cana-666	316	13	and	and	CCONJ
cana-666	316	14	panwar	panwar	PROPN
cana-666	316	15	,	,	PUNCT
cana-666	316	16	lokesh	lokesh	PROPN
cana-666	316	17	singh	singh	PROPN
cana-666	316	18	,	,	PUNCT
cana-666	316	19	evaluation	evaluation	NOUN
cana-666	316	20	of	of	ADP
cana-666	316	21	network	network	NOUN
cana-666	316	22	intrusion	intrusion	NOUN
cana-666	316	23	detection	detection	NOUN
cana-666	316	24	with	with	ADP
cana-666	316	25	features	feature	NOUN
cana-666	316	26	selection	selection	NOUN
cana-666	316	27	and	and	CCONJ
cana-666	316	28	machine	machine	NOUN
cana-666	316	29	learning	learn	VERB
cana-666	316	30	algorithms	algorithm	NOUN
cana-666	316	31	on	on	ADP
cana-666	316	32	cicids-2017	cicids-2017	ADJ
cana-666	316	33	dataset	dataset	NOUN
cana-666	316	34	(	(	PUNCT
cana-666	316	35	march	march	PROPN
cana-666	316	36	15	15	NUM
cana-666	316	37	,	,	PUNCT
cana-666	316	38	2019	2019	NUM
cana-666	316	39	)	)	PUNCT
cana-666	316	40	.	.	PUNCT
cana-666	317	1	international	international	ADJ
cana-666	317	2	conference	conference	NOUN
cana-666	317	3	on	on	ADP
cana-666	317	4	advances	advance	NOUN
cana-666	317	5	in	in	ADP
cana-666	317	6	engineering	engineering	NOUN
cana-666	317	7	science	science	NOUN
cana-666	317	8	management	management	NOUN
cana-666	317	9	&	&	CCONJ
cana-666	317	10	technology	technology	PROPN
cana-666	317	11	(	(	PUNCT
cana-666	317	12	icaesmt	icaesmt	ADJ
cana-666	317	13	)	)	PUNCT
cana-666	317	14	2019	2019	NUM
cana-666	317	15	,	,	PUNCT
cana-666	317	16	uttaranchal	uttaranchal	PROPN
cana-666	317	17	university	university	PROPN
cana-666	317	18	,	,	PUNCT
cana-666	317	19	dehradun	dehradun	PROPN
cana-666	317	20	,	,	PUNCT
cana-666	317	21	india	india	PROPN
cana-666	317	22	,	,	PUNCT
cana-666	317	23	http://dx.doi.org/10.2139/ssrn.3394103	http://dx.doi.org/10.2139/ssrn.3394103	X
cana-666	317	24	.	.	PUNCT
cana-666	318	1	[	[	X
cana-666	318	2	26	26	NUM
cana-666	318	3	]	]	X
cana-666	318	4	han	han	PROPN
cana-666	318	5	,	,	PUNCT
cana-666	318	6	hyojoon	hyojoon	PROPN
cana-666	318	7	,	,	PUNCT
cana-666	318	8	hyukho	hyukho	PROPN
cana-666	318	9	kim	kim	PROPN
cana-666	318	10	,	,	PUNCT
cana-666	318	11	and	and	CCONJ
cana-666	318	12	yangwoo	yangwoo	PROPN
cana-666	318	13	kim	kim	PROPN
cana-666	318	14	.	.	PROPN
cana-666	318	15	2022	2022	NUM
cana-666	318	16	.	.	PUNCT
cana-666	319	1	"	"	PUNCT
cana-666	319	2	an	an	DET
cana-666	319	3	efficient	efficient	ADJ
cana-666	319	4	hyperparameter	hyperparameter	NOUN
cana-666	319	5	control	control	NOUN
cana-666	319	6	method	method	NOUN
cana-666	319	7	for	for	ADP
cana-666	319	8	a	a	DET
cana-666	319	9	network	network	NOUN
cana-666	319	10	intrusion	intrusion	NOUN
cana-666	319	11	detection	detection	NOUN
cana-666	319	12	system	system	NOUN
cana-666	319	13	based	base	VERB
cana-666	319	14	on	on	ADP
cana-666	319	15	proximal	proximal	ADJ
cana-666	319	16	policy	policy	NOUN
cana-666	319	17	optimization	optimization	NOUN
cana-666	319	18	"	"	PUNCT
cana-666	319	19	symmetry	symmetry	NOUN
cana-666	319	20	14	14	NUM
cana-666	319	21	,	,	PUNCT
cana-666	319	22	no	no	INTJ
cana-666	319	23	.	.	NOUN
cana-666	320	1	1	1	NUM
cana-666	320	2	:	:	SYM
cana-666	320	3	161	161	NUM
cana-666	320	4	.	.	PUNCT
cana-666	320	5	https://doi.org/10.3390/sym14010161	https://doi.org/10.3390/sym14010161	ADJ
cana-666	320	6	[	[	X
cana-666	320	7	27	27	NUM
cana-666	320	8	]	]	PUNCT
cana-666	320	9	t.	t.	NOUN
cana-666	320	10	ferrão	ferrão	PROPN
cana-666	320	11	,	,	PUNCT
cana-666	320	12	f.	f.	PROPN
cana-666	320	13	manene	manene	PROPN
cana-666	320	14	and	and	CCONJ
cana-666	320	15	a.	a.	NOUN
cana-666	320	16	a.	a.	PROPN
cana-666	320	17	ajibesin	ajibesin	PROPN
cana-666	320	18	,	,	PUNCT
cana-666	320	19	"	"	PUNCT
cana-666	320	20	multi	multi	ADJ
cana-666	320	21	-	-	ADJ
cana-666	320	22	attack	attack	ADJ
cana-666	320	23	intrusion	intrusion	NOUN
cana-666	320	24	detection	detection	NOUN
cana-666	320	25	system	system	NOUN
cana-666	320	26	for	for	ADP
cana-666	320	27	software	software	NOUN
cana-666	320	28	-	-	PUNCT
cana-666	320	29	defined	define	VERB
cana-666	320	30	internet	internet	NOUN
cana-666	320	31	of	of	ADP
cana-666	320	32	things	thing	NOUN
cana-666	320	33	network	network	NOUN
cana-666	320	34	,	,	PUNCT
cana-666	320	35	"	"	PUNCT
cana-666	320	36	computers	computer	NOUN
cana-666	320	37	,	,	PUNCT
cana-666	320	38	materials	material	NOUN
cana-666	320	39	&	&	CCONJ
cana-666	320	40	continua	continua	PROPN
cana-666	320	41	,	,	PUNCT
cana-666	320	42	vol	vol	NOUN
cana-666	320	43	.	.	PROPN
cana-666	320	44	75	75	NUM
cana-666	320	45	,	,	PUNCT
cana-666	320	46	no.3	no.3	VERB
cana-666	320	47	,	,	PUNCT
cana-666	320	48	pp	pp	X
cana-666	320	49	.	.	PUNCT
cana-666	321	1	4985–5007	4985–5007	NUM
cana-666	321	2	,	,	PUNCT
cana-666	321	3	2023	2023	NUM
cana-666	321	4	.	.	PUNCT
cana-666	322	1	[	[	X
cana-666	322	2	28	28	NUM
cana-666	322	3	]	]	X
cana-666	322	4	abbas	abbas	PROPN
cana-666	322	5	,	,	PUNCT
cana-666	322	6	m.i	m.i	PROPN
cana-666	322	7	.	.	PROPN
cana-666	322	8	,	,	PUNCT
cana-666	322	9	"	"	PUNCT
cana-666	322	10	picard	picard	NOUN
cana-666	322	11	and	and	CCONJ
cana-666	322	12	picard	picard	PROPN
cana-666	322	13	-	-	PUNCT
cana-666	322	14	krasnoselskii	krasnoselskii	PROPN
cana-666	322	15	iteration	iteration	NOUN
cana-666	322	16	methods	method	NOUN
cana-666	322	17	for	for	ADP
cana-666	322	18	generalized	generalized	ADJ
cana-666	322	19	proportional	proportional	ADJ
cana-666	322	20	hadamard	hadamard	ADJ
cana-666	322	21	fractional	fractional	ADJ
cana-666	322	22	integral	integral	ADJ
cana-666	322	23	equations	equation	NOUN
cana-666	322	24	"	"	PUNCT
cana-666	322	25	.	.	PUNCT
cana-666	323	1	(	(	PUNCT
cana-666	323	2	2022	2022	NUM
cana-666	323	3	)	)	PUNCT
cana-666	323	4	advances	advance	NOUN
cana-666	323	5	in	in	ADP
cana-666	323	6	the	the	DET
cana-666	323	7	theory	theory	NOUN
cana-666	323	8	of	of	ADP
cana-666	323	9	nonlinear	nonlinear	ADJ
cana-666	323	10	analysis	analysis	NOUN
cana-666	323	11	and	and	CCONJ
cana-666	323	12	its	its	PRON
cana-666	323	13	applications	application	NOUN
cana-666	323	14	,	,	PUNCT
cana-666	323	15	6	6	NUM
cana-666	323	16	(	(	PUNCT
cana-666	323	17	4	4	NUM
cana-666	323	18	)	)	PUNCT
cana-666	323	19	,	,	PUNCT
cana-666	323	20	pp	pp	PROPN
cana-666	323	21	.	.	PUNCT
cana-666	324	1	538	538	NUM
cana-666	324	2	-	-	SYM
cana-666	324	3	546	546	NUM
cana-666	324	4	.	.	PUNCT
cana-666	325	1	[	[	X
cana-666	325	2	29	29	NUM
cana-666	325	3	]	]	X
cana-666	325	4	vijay	vijay	NOUN
cana-666	325	5	,	,	PUNCT
cana-666	325	6	chand	chand	NOUN
cana-666	325	7	,	,	PUNCT
cana-666	325	8	a.k.b	a.k.b	PROPN
cana-666	325	9	.	.	PROPN
cana-666	325	10	,	,	PUNCT
cana-666	325	11	"	"	PUNCT
cana-666	325	12	zipper	zipper	NOUN
cana-666	325	13	fractal	fractal	NOUN
cana-666	325	14	functions	function	NOUN
cana-666	325	15	with	with	ADP
cana-666	325	16	variable	variable	ADJ
cana-666	325	17	scalings	scaling	NOUN
cana-666	325	18	"	"	PUNCT
cana-666	325	19	(	(	PUNCT
cana-666	325	20	2022	2022	NUM
cana-666	325	21	)	)	PUNCT
cana-666	325	22	advances	advance	NOUN
cana-666	325	23	in	in	ADP
cana-666	325	24	the	the	DET
cana-666	325	25	theory	theory	NOUN
cana-666	325	26	of	of	ADP
cana-666	325	27	nonlinear	nonlinear	ADJ
cana-666	325	28	analysis	analysis	NOUN
cana-666	325	29	and	and	CCONJ
cana-666	325	30	its	its	PRON
cana-666	325	31	applications	application	NOUN
cana-666	325	32	,	,	PUNCT
cana-666	325	33	6	6	NUM
cana-666	325	34	(	(	PUNCT
cana-666	325	35	4	4	NUM
cana-666	325	36	)	)	PUNCT
cana-666	325	37	,	,	PUNCT
cana-666	325	38	pp	pp	ADP
cana-666	325	39	.	.	PUNCT
cana-666	326	1	481	481	NUM
cana-666	326	2	-	-	SYM
cana-666	326	3	501	501	NUM
cana-666	326	4	.	.	PUNCT
cana-666	327	1	[	[	X
cana-666	327	2	30	30	NUM
cana-666	327	3	]	]	X
cana-666	327	4	goyal	goyal	PROPN
cana-666	327	5	,	,	PUNCT
cana-666	327	6	dinesh	dinesh	PROPN
cana-666	327	7	,	,	PUNCT
cana-666	327	8	kumar	kumar	PROPN
cana-666	327	9	,	,	PUNCT
cana-666	327	10	anil	anil	PROPN
cana-666	327	11	,	,	PUNCT
cana-666	327	12	gandhi	gandhi	PROPN
cana-666	327	13	,	,	PUNCT
cana-666	327	14	yatin	yatin	NOUN
cana-666	327	15	&	&	CCONJ
cana-666	327	16	khetani	khetani	PROPN
cana-666	327	17	,	,	PUNCT
cana-666	327	18	vinit	vinit	NOUN
cana-666	327	19	(	(	PUNCT
cana-666	327	20	2024	2024	NUM
cana-666	327	21	)	)	PUNCT
cana-666	327	22	securing	secure	VERB
cana-666	327	23	wireless	wireless	ADJ
cana-666	327	24	sensor	sensor	NOUN
cana-666	327	25	networks	network	NOUN
cana-666	327	26	with	with	ADP
cana-666	327	27	novel	novel	ADJ
cana-666	327	28	hybrid	hybrid	ADJ
cana-666	327	29	lightweight	lightweight	ADJ
cana-666	327	30	cryptographic	cryptographic	ADJ
cana-666	327	31	protocols	protocol	NOUN
cana-666	327	32	,	,	PUNCT
cana-666	327	33	journal	journal	NOUN
cana-666	327	34	of	of	ADP
cana-666	327	35	discrete	discrete	ADJ
cana-666	327	36	mathematical	mathematical	ADJ
cana-666	327	37	sciences	science	NOUN
cana-666	327	38	and	and	CCONJ
cana-666	327	39	cryptography	cryptography	NOUN
cana-666	327	40	,	,	PUNCT
cana-666	327	41	27:2	27:2	NUM
cana-666	327	42	-	-	SYM
cana-666	327	43	b	b	NOUN
cana-666	327	44	,	,	PUNCT
cana-666	327	45	703–714	703–714	NUM
cana-666	327	46	,	,	PUNCT
cana-666	327	47	doi	doi	NOUN
cana-666	327	48	:	:	PUNCT
cana-666	327	49	10.47974	10.47974	NUM
cana-666	327	50	/	/	SYM
cana-666	327	51	jdmsc-1921	jdmsc-1921	NOUN