id	sid	tid	token	lemma	pos
cana-3099	1	1	communications	communication	NOUN
cana-3099	1	2	on	on	ADP
cana-3099	1	3	applied	apply	VERB
cana-3099	1	4	nonlinear	nonlinear	ADJ
cana-3099	1	5	analysis	analysis	NOUN
cana-3099	1	6	issn	issn	NOUN
cana-3099	1	7	:	:	PUNCT
cana-3099	1	8	1074	1074	NUM
cana-3099	1	9	-	-	PUNCT
cana-3099	1	10	133x	133x	NUM
cana-3099	1	11	vol	vol	NOUN
cana-3099	1	12	32	32	NUM
cana-3099	1	13	no	no	NOUN
cana-3099	1	14	.	.	PUNCT
cana-3099	2	1	5s	5s	NUM
cana-3099	2	2	(	(	PUNCT
cana-3099	2	3	2025	2025	NUM
cana-3099	2	4	)	)	PUNCT
cana-3099	2	5	277	277	NUM
cana-3099	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	2	7	ai	ai	VERB
cana-3099	2	8	/	/	SYM
cana-3099	2	9	ml	ml	ADV
cana-3099	2	10	based	base	VERB
cana-3099	2	11	detection	detection	NOUN
cana-3099	2	12	of	of	ADP
cana-3099	2	13	unknown	unknown	ADJ
cana-3099	2	14	compromises	compromise	NOUN
cana-3099	2	15	on	on	ADP
cana-3099	2	16	ict	ict	PROPN
cana-3099	2	17	devices	devices	PROPN
cana-3099	2	18	manikrao	manikrao	PROPN
cana-3099	2	19	dhore1	dhore1	PROPN
cana-3099	2	20	,	,	PUNCT
cana-3099	2	21	deepak	deepak	PROPN
cana-3099	2	22	mane2	mane2	PROPN
cana-3099	2	23	,	,	PUNCT
cana-3099	2	24	shivam	shivam	PROPN
cana-3099	2	25	pandagale3	pandagale3	PROPN
cana-3099	2	26	,	,	PUNCT
cana-3099	2	27	om	om	PROPN
cana-3099	2	28	soni4	soni4	NOUN
cana-3099	2	29	,	,	PUNCT
cana-3099	2	30	digvijay	digvijay	ADJ
cana-3099	2	31	patil5	patil5	NOUN
cana-3099	2	32	,	,	PUNCT
cana-3099	2	33	niraj	niraj	ADJ
cana-3099	2	34	patil6	patil6	PROPN
cana-3099	2	35	vishwakarma	vishwakarma	PROPN
cana-3099	2	36	institute	institute	PROPN
cana-3099	2	37	of	of	ADP
cana-3099	2	38	technology	technology	PROPN
cana-3099	2	39	,	,	PUNCT
cana-3099	2	40	bidwewadi	bidwewadi	NOUN
cana-3099	2	41	,	,	PUNCT
cana-3099	2	42	pune-411037	pune-411037	NOUN
cana-3099	2	43	,	,	PUNCT
cana-3099	2	44	maharshtra	maharshtra	PROPN
cana-3099	2	45	,	,	PUNCT
cana-3099	2	46	india	india	PROPN
cana-3099	2	47	.	.	PUNCT
cana-3099	2	48	1manikrao.dhore@vit.edu	1manikrao.dhore@vit.edu	PROPN
cana-3099	2	49	,	,	PUNCT
cana-3099	2	50	2deepak.mane@vit.edu	2deepak.mane@vit.edu	NUM
cana-3099	2	51	,	,	PUNCT
cana-3099	2	52	3shivam50x20@gmail.com	3shivam50x20@gmail.com	NUM
cana-3099	2	53	,	,	PUNCT
cana-3099	2	54	4omsoni2807@gmail.com	4omsoni2807@gmail.com	NUM
cana-3099	2	55	,	,	PUNCT
cana-3099	2	56	5nirajpatil1306@gmail.com	5nirajpatil1306@gmail.com	NUM
cana-3099	2	57	,	,	PUNCT
cana-3099	2	58	6digvijaypatil1511@gmail.com	6digvijaypatil1511@gmail.com	NUM
cana-3099	2	59	correspondence	correspondence	NOUN
cana-3099	2	60	author	author	NOUN
cana-3099	2	61	:	:	PUNCT
cana-3099	2	62	deepak.mane@vit.edu	deepak.mane@vit.edu	NOUN
cana-3099	2	63	article	article	NOUN
cana-3099	2	64	history	history	NOUN
cana-3099	2	65	:	:	PUNCT
cana-3099	2	66	received	receive	VERB
cana-3099	2	67	:	:	PUNCT
cana-3099	2	68	07	07	NUM
cana-3099	2	69	-	-	SYM
cana-3099	2	70	10	10	NUM
cana-3099	2	71	-	-	PUNCT
cana-3099	2	72	2024	2024	NUM
cana-3099	2	73	revised	revise	VERB
cana-3099	2	74	:	:	PUNCT
cana-3099	2	75	27	27	NUM
cana-3099	2	76	-	-	SYM
cana-3099	2	77	11	11	NUM
cana-3099	2	78	-	-	PUNCT
cana-3099	2	79	2024	2024	NUM
cana-3099	2	80	accepted	accept	VERB
cana-3099	2	81	:	:	PUNCT
cana-3099	2	82	06	06	NUM
cana-3099	2	83	-	-	SYM
cana-3099	2	84	12	12	NUM
cana-3099	2	85	-	-	PUNCT
cana-3099	2	86	2024	2024	NUM
cana-3099	2	87	abstract	abstract	NOUN
cana-3099	2	88	:	:	PUNCT
cana-3099	2	89	the	the	DET
cana-3099	2	90	growing	grow	VERB
cana-3099	2	91	dependence	dependence	NOUN
cana-3099	2	92	on	on	ADP
cana-3099	2	93	online	online	ADJ
cana-3099	2	94	communication	communication	NOUN
cana-3099	2	95	and	and	CCONJ
cana-3099	2	96	increased	increase	VERB
cana-3099	2	97	cyberattacks	cyberattack	NOUN
cana-3099	2	98	need	need	VERB
cana-3099	2	99	more	more	ADV
cana-3099	2	100	reliable	reliable	ADJ
cana-3099	2	101	techniques	technique	NOUN
cana-3099	2	102	for	for	ADP
cana-3099	2	103	detecting	detect	VERB
cana-3099	2	104	network	network	NOUN
cana-3099	2	105	anomalies	anomaly	NOUN
cana-3099	2	106	.	.	PUNCT
cana-3099	3	1	while	while	SCONJ
cana-3099	3	2	successful	successful	ADJ
cana-3099	3	3	,	,	PUNCT
cana-3099	3	4	traditional	traditional	ADJ
cana-3099	3	5	signature	signature	NOUN
cana-3099	3	6	-	-	PUNCT
cana-3099	3	7	based	base	VERB
cana-3099	3	8	detection	detection	NOUN
cana-3099	3	9	systems	system	NOUN
cana-3099	3	10	have	have	VERB
cana-3099	3	11	trouble	trouble	NOUN
cana-3099	3	12	detecting	detect	VERB
cana-3099	3	13	zero	zero	NUM
cana-3099	3	14	-	-	PUNCT
cana-3099	3	15	day	day	NOUN
cana-3099	3	16	attacks	attack	NOUN
cana-3099	3	17	and	and	CCONJ
cana-3099	3	18	can	can	AUX
cana-3099	3	19	not	not	PART
cana-3099	3	20	analyse	analyse	VERB
cana-3099	3	21	encrypted	encrypt	VERB
cana-3099	3	22	traffic	traffic	NOUN
cana-3099	3	23	,	,	PUNCT
cana-3099	3	24	which	which	PRON
cana-3099	3	25	today	today	NOUN
cana-3099	3	26	makes	make	VERB
cana-3099	3	27	up	up	ADP
cana-3099	3	28	over	over	ADP
cana-3099	3	29	half	half	NOUN
cana-3099	3	30	of	of	ADP
cana-3099	3	31	all	all	DET
cana-3099	3	32	internet	internet	NOUN
cana-3099	3	33	traffic	traffic	NOUN
cana-3099	3	34	.	.	PUNCT
cana-3099	4	1	the	the	DET
cana-3099	4	2	goal	goal	NOUN
cana-3099	4	3	of	of	ADP
cana-3099	4	4	the	the	DET
cana-3099	4	5	machine	machine	NOUN
cana-3099	4	6	learning	learning	NOUN
cana-3099	4	7	-	-	PUNCT
cana-3099	4	8	based	base	VERB
cana-3099	4	9	method	method	NOUN
cana-3099	4	10	for	for	ADP
cana-3099	4	11	network	network	NOUN
cana-3099	4	12	anomaly	anomaly	NOUN
cana-3099	4	13	detection	detection	NOUN
cana-3099	4	14	in	in	ADP
cana-3099	4	15	this	this	DET
cana-3099	4	16	research	research	NOUN
cana-3099	4	17	is	be	AUX
cana-3099	4	18	to	to	PART
cana-3099	4	19	find	find	VERB
cana-3099	4	20	malicious	malicious	ADJ
cana-3099	4	21	activities	activity	NOUN
cana-3099	4	22	in	in	ADP
cana-3099	4	23	encrypted	encrypt	VERB
cana-3099	4	24	and	and	CCONJ
cana-3099	4	25	unencrypted	unencrypted	ADJ
cana-3099	4	26	network	network	NOUN
cana-3099	4	27	traffic	traffic	NOUN
cana-3099	4	28	.	.	PUNCT
cana-3099	5	1	this	this	DET
cana-3099	5	2	research	research	NOUN
cana-3099	5	3	uses	use	VERB
cana-3099	5	4	machine	machine	NOUN
cana-3099	5	5	learning	learning	NOUN
cana-3099	5	6	methods	method	NOUN
cana-3099	5	7	to	to	PART
cana-3099	5	8	detect	detect	VERB
cana-3099	5	9	abnormal	abnormal	ADJ
cana-3099	5	10	behaviours	behaviour	NOUN
cana-3099	5	11	that	that	PRON
cana-3099	5	12	suggest	suggest	VERB
cana-3099	5	13	possible	possible	ADJ
cana-3099	5	14	security	security	NOUN
cana-3099	5	15	breaches	breach	NOUN
cana-3099	5	16	.	.	PUNCT
cana-3099	6	1	several	several	ADJ
cana-3099	6	2	classification	classification	NOUN
cana-3099	6	3	methods	method	NOUN
cana-3099	6	4	were	be	AUX
cana-3099	6	5	investigated	investigate	VERB
cana-3099	6	6	and	and	CCONJ
cana-3099	6	7	tested	test	VERB
cana-3099	6	8	using	use	VERB
cana-3099	6	9	datasets	dataset	NOUN
cana-3099	6	10	that	that	PRON
cana-3099	6	11	were	be	AUX
cana-3099	6	12	made	make	VERB
cana-3099	6	13	available	available	ADJ
cana-3099	6	14	to	to	ADP
cana-3099	6	15	the	the	DET
cana-3099	6	16	public	public	NOUN
cana-3099	6	17	.	.	PUNCT
cana-3099	7	1	even	even	ADV
cana-3099	7	2	in	in	ADP
cana-3099	7	3	encrypted	encrypt	VERB
cana-3099	7	4	network	network	NOUN
cana-3099	7	5	environments	environment	NOUN
cana-3099	7	6	,	,	PUNCT
cana-3099	7	7	the	the	DET
cana-3099	7	8	results	result	NOUN
cana-3099	7	9	demonstrate	demonstrate	VERB
cana-3099	7	10	that	that	SCONJ
cana-3099	7	11	machine	machine	NOUN
cana-3099	7	12	learning	learn	VERB
cana-3099	7	13	techniques	technique	NOUN
cana-3099	7	14	,	,	PUNCT
cana-3099	7	15	especially	especially	ADV
cana-3099	7	16	anomaly	anomaly	NOUN
cana-3099	7	17	-	-	PUNCT
cana-3099	7	18	based	base	VERB
cana-3099	7	19	detection	detection	NOUN
cana-3099	7	20	,	,	PUNCT
cana-3099	7	21	can	can	AUX
cana-3099	7	22	improve	improve	VERB
cana-3099	7	23	detection	detection	NOUN
cana-3099	7	24	accuracy	accuracy	NOUN
cana-3099	7	25	and	and	CCONJ
cana-3099	7	26	lower	low	ADJ
cana-3099	7	27	false	false	ADJ
cana-3099	7	28	positives	positive	NOUN
cana-3099	7	29	.	.	PUNCT
cana-3099	8	1	the	the	DET
cana-3099	8	2	proposed	propose	VERB
cana-3099	8	3	model	model	NOUN
cana-3099	8	4	's	's	PART
cana-3099	8	5	novelty	novelty	NOUN
cana-3099	8	6	lies	lie	VERB
cana-3099	8	7	in	in	ADP
cana-3099	8	8	its	its	PRON
cana-3099	8	9	integration	integration	NOUN
cana-3099	8	10	of	of	ADP
cana-3099	8	11	tailored	tailor	VERB
cana-3099	8	12	feature	feature	NOUN
cana-3099	8	13	selection	selection	NOUN
cana-3099	8	14	with	with	ADP
cana-3099	8	15	attackspecific	attackspecific	ADJ
cana-3099	8	16	and	and	CCONJ
cana-3099	8	17	unified	unified	ADJ
cana-3099	8	18	datasets	dataset	NOUN
cana-3099	8	19	,	,	PUNCT
cana-3099	8	20	ensuring	ensure	VERB
cana-3099	8	21	a	a	DET
cana-3099	8	22	comprehensive	comprehensive	ADJ
cana-3099	8	23	approach	approach	NOUN
cana-3099	8	24	to	to	ADP
cana-3099	8	25	identifying	identify	VERB
cana-3099	8	26	network	network	NOUN
cana-3099	8	27	anomalies	anomaly	NOUN
cana-3099	8	28	.	.	PUNCT
cana-3099	9	1	keywords	keyword	NOUN
cana-3099	9	2	:	:	PUNCT
cana-3099	9	3	•	•	NUM
cana-3099	9	4	network	network	NOUN
cana-3099	9	5	anomaly	anomaly	NOUN
cana-3099	9	6	detection	detection	NOUN
cana-3099	9	7	,	,	PUNCT
cana-3099	9	8	machine	machine	NOUN
cana-3099	9	9	learning	learning	NOUN
cana-3099	9	10	,	,	PUNCT
cana-3099	9	11	cybersecurity	cybersecurity	NOUN
cana-3099	9	12	,	,	PUNCT
cana-3099	9	13	intrusion	intrusion	NOUN
cana-3099	9	14	detection	detection	NOUN
cana-3099	9	15	system	system	NOUN
cana-3099	9	16	,	,	PUNCT
cana-3099	9	17	zero	zero	NUM
cana-3099	9	18	-	-	PUNCT
cana-3099	9	19	day	day	NOUN
cana-3099	9	20	attacks	attack	NOUN
cana-3099	9	21	,	,	PUNCT
cana-3099	9	22	feature	feature	NOUN
cana-3099	9	23	selection	selection	NOUN
cana-3099	9	24	,	,	PUNCT
cana-3099	9	25	benign	benign	ADJ
cana-3099	9	26	traffic	traffic	NOUN
cana-3099	9	27	,	,	PUNCT
cana-3099	9	28	naïve	naïve	ADJ
cana-3099	9	29	bayes	bayes	NOUN
cana-3099	9	30	,	,	PUNCT
cana-3099	9	31	random	random	ADJ
cana-3099	9	32	forest	forest	NOUN
cana-3099	9	33	regressor	regressor	NOUN
cana-3099	9	34	,	,	PUNCT
cana-3099	9	35	dimensionality	dimensionality	NOUN
cana-3099	9	36	reduction	reduction	NOUN
cana-3099	9	37	introduction	introduction	NOUN
cana-3099	9	38	:	:	PUNCT
cana-3099	9	39	every	every	DET
cana-3099	9	40	day	day	NOUN
cana-3099	9	41	,	,	PUNCT
cana-3099	9	42	hundreds	hundred	NOUN
cana-3099	9	43	of	of	ADP
cana-3099	9	44	thousands	thousand	NOUN
cana-3099	9	45	of	of	ADP
cana-3099	9	46	organisations	organisation	NOUN
cana-3099	9	47	and	and	CCONJ
cana-3099	9	48	millions	million	NOUN
cana-3099	9	49	of	of	ADP
cana-3099	9	50	individuals	individual	NOUN
cana-3099	9	51	communicate	communicate	VERB
cana-3099	9	52	using	use	VERB
cana-3099	9	53	the	the	DET
cana-3099	9	54	internet	internet	NOUN
cana-3099	9	55	.	.	PUNCT
cana-3099	10	1	with	with	ADP
cana-3099	10	2	over	over	ADP
cana-3099	10	3	4	4	NUM
cana-3099	10	4	billion	billion	NUM
cana-3099	10	5	users	user	NOUN
cana-3099	10	6	today	today	NOUN
cana-3099	10	7	,	,	PUNCT
cana-3099	10	8	the	the	DET
cana-3099	10	9	number	number	NOUN
cana-3099	10	10	of	of	ADP
cana-3099	10	11	internet	internet	NOUN
cana-3099	10	12	users	user	NOUN
cana-3099	10	13	has	have	AUX
cana-3099	10	14	grown	grow	VERB
cana-3099	10	15	dramatically	dramatically	ADV
cana-3099	10	16	over	over	ADP
cana-3099	10	17	the	the	DET
cana-3099	10	18	past	past	ADJ
cana-3099	10	19	20	20	NUM
cana-3099	10	20	years	year	NOUN
cana-3099	10	21	and	and	CCONJ
cana-3099	10	22	continues	continue	VERB
cana-3099	10	23	to	to	PART
cana-3099	10	24	expand	expand	VERB
cana-3099	10	25	at	at	ADP
cana-3099	10	26	a	a	DET
cana-3099	10	27	rapid	rapid	ADJ
cana-3099	10	28	rate	rate	NOUN
cana-3099	10	29	.	.	PUNCT
cana-3099	11	1	online	online	ADJ
cana-3099	11	2	attacks	attack	NOUN
cana-3099	11	3	are	be	AUX
cana-3099	11	4	increasing	increase	VERB
cana-3099	11	5	constantly	constantly	ADV
cana-3099	11	6	in	in	ADP
cana-3099	11	7	step	step	NOUN
cana-3099	11	8	with	with	ADP
cana-3099	11	9	these	these	DET
cana-3099	11	10	developments	development	NOUN
cana-3099	11	11	.	.	PUNCT
cana-3099	12	1	signature	signature	NOUN
cana-3099	12	2	-	-	PUNCT
cana-3099	12	3	based	base	VERB
cana-3099	12	4	identification	identification	NOUN
cana-3099	12	5	is	be	AUX
cana-3099	12	6	the	the	DET
cana-3099	12	7	primary	primary	ADJ
cana-3099	12	8	detection	detection	NOUN
cana-3099	12	9	method	method	NOUN
cana-3099	12	10	used	use	VERB
cana-3099	12	11	to	to	PART
cana-3099	12	12	prevent	prevent	VERB
cana-3099	12	13	these	these	DET
cana-3099	12	14	attacks	attack	NOUN
cana-3099	12	15	and	and	CCONJ
cana-3099	12	16	ensure	ensure	VERB
cana-3099	12	17	data	datum	NOUN
cana-3099	12	18	security	security	NOUN
cana-3099	12	19	.	.	PUNCT
cana-3099	13	1	signature	signature	NOUN
cana-3099	13	2	-	-	PUNCT
cana-3099	13	3	based	base	VERB
cana-3099	13	4	strategies	strategy	NOUN
cana-3099	13	5	leverage	leverage	VERB
cana-3099	13	6	a	a	DET
cana-3099	13	7	database	database	NOUN
cana-3099	13	8	of	of	ADP
cana-3099	13	9	known	know	VERB
cana-3099	13	10	attack	attack	NOUN
cana-3099	13	11	patterns	pattern	NOUN
cana-3099	13	12	to	to	PART
cana-3099	13	13	identify	identify	VERB
cana-3099	13	14	threats	threat	NOUN
cana-3099	13	15	.	.	PUNCT
cana-3099	14	1	despite	despite	SCONJ
cana-3099	14	2	their	their	PRON
cana-3099	14	3	effectiveness	effectiveness	NOUN
cana-3099	14	4	,	,	PUNCT
cana-3099	14	5	these	these	DET
cana-3099	14	6	databases	database	NOUN
cana-3099	14	7	are	be	AUX
cana-3099	14	8	vulnerable	vulnerable	ADJ
cana-3099	14	9	to	to	ADP
cana-3099	14	10	zeroday	zeroday	NOUN
cana-3099	14	11	(	(	PUNCT
cana-3099	14	12	unknown	unknown	ADJ
cana-3099	14	13	)	)	PUNCT
cana-3099	14	14	assaults	assault	NOUN
cana-3099	14	15	and	and	CCONJ
cana-3099	14	16	still	still	ADV
cana-3099	14	17	require	require	VERB
cana-3099	14	18	frequent	frequent	ADJ
cana-3099	14	19	updates	update	NOUN
cana-3099	14	20	to	to	PART
cana-3099	14	21	include	include	VERB
cana-3099	14	22	new	new	ADJ
cana-3099	14	23	attack	attack	NOUN
cana-3099	14	24	data	datum	NOUN
cana-3099	14	25	.	.	PUNCT
cana-3099	15	1	signature	signature	NOUN
cana-3099	15	2	-	-	PUNCT
cana-3099	15	3	based	base	VERB
cana-3099	15	4	methods	method	NOUN
cana-3099	15	5	can	can	AUX
cana-3099	15	6	not	not	PART
cana-3099	15	7	prevent	prevent	VERB
cana-3099	15	8	zero	zero	NUM
cana-3099	15	9	-	-	PUNCT
cana-3099	15	10	day	day	NOUN
cana-3099	15	11	attacks	attack	NOUN
cana-3099	15	12	since	since	SCONJ
cana-3099	15	13	they	they	PRON
cana-3099	15	14	are	be	AUX
cana-3099	15	15	not	not	PART
cana-3099	15	16	yet	yet	ADV
cana-3099	15	17	additionally	additionally	ADV
cana-3099	15	18	,	,	PUNCT
cana-3099	15	19	nearly	nearly	ADV
cana-3099	15	20	half	half	NOUN
cana-3099	15	21	of	of	ADP
cana-3099	15	22	all	all	DET
cana-3099	15	23	web	web	NOUN
cana-3099	15	24	traffic	traffic	NOUN
cana-3099	15	25	is	be	AUX
cana-3099	15	26	encrypted	encrypt	VERB
cana-3099	15	27	today	today	NOUN
cana-3099	15	28	via	via	ADP
cana-3099	15	29	ssl	ssl	PROPN
cana-3099	15	30	/	/	SYM
cana-3099	15	31	tls	tls	PROPN
cana-3099	15	32	(	(	PUNCT
cana-3099	15	33	secure	secure	ADJ
cana-3099	15	34	sockets	socket	NOUN
cana-3099	15	35	layer	layer	NOUN
cana-3099	15	36	/transport	/transport	NOUN
cana-3099	15	37	layer	layer	NOUN
cana-3099	15	38	security	security	NOUN
cana-3099	15	39	)	)	PUNCT
cana-3099	15	40	protocols	protocol	NOUN
cana-3099	15	41	,	,	PUNCT
cana-3099	15	42	and	and	CCONJ
cana-3099	15	43	this	this	DET
cana-3099	15	44	percentage	percentage	NOUN
cana-3099	15	45	is	be	AUX
cana-3099	15	46	constantly	constantly	ADV
cana-3099	15	47	increasing	increase	VERB
cana-3099	15	48	.	.	PUNCT
cana-3099	16	1	since	since	SCONJ
cana-3099	16	2	signaturebased	signaturebase	VERB
cana-3099	16	3	methods	method	NOUN
cana-3099	16	4	can	can	AUX
cana-3099	16	5	not	not	PART
cana-3099	16	6	view	view	VERB
cana-3099	16	7	the	the	DET
cana-3099	16	8	contents	content	NOUN
cana-3099	16	9	of	of	ADP
cana-3099	16	10	encrypted	encrypt	VERB
cana-3099	16	11	internet	internet	NOUN
cana-3099	16	12	communication	communication	NOUN
cana-3099	16	13	,	,	PUNCT
cana-3099	16	14	they	they	PRON
cana-3099	16	15	are	be	AUX
cana-3099	16	16	useless	useless	ADJ
cana-3099	16	17	.	.	PUNCT
cana-3099	17	1	by	by	ADP
cana-3099	17	2	basing	base	VERB
cana-3099	17	3	its	its	PRON
cana-3099	17	4	analysis	analysis	NOUN
cana-3099	17	5	on	on	ADP
cana-3099	17	6	general	general	ADJ
cana-3099	17	7	attributes	attribute	NOUN
cana-3099	17	8	like	like	ADP
cana-3099	17	9	size	size	NOUN
cana-3099	17	10	,	,	PUNCT
cana-3099	17	11	connection	connection	NOUN
cana-3099	17	12	duration	duration	NOUN
cana-3099	17	13	,	,	PUNCT
cana-3099	17	14	and	and	CCONJ
cana-3099	17	15	packet	packet	NOUN
cana-3099	17	16	count	count	NOUN
cana-3099	17	17	,	,	PUNCT
cana-3099	17	18	the	the	DET
cana-3099	17	19	anomalybased	anomalybase	VERB
cana-3099	17	20	approach	approach	NOUN
cana-3099	17	21	,	,	PUNCT
cana-3099	17	22	on	on	ADP
cana-3099	17	23	the	the	DET
cana-3099	17	24	other	other	ADJ
cana-3099	17	25	hand	hand	NOUN
cana-3099	17	26	,	,	PUNCT
cana-3099	17	27	may	may	AUX
cana-3099	17	28	assess	assess	VERB
cana-3099	17	29	encrypted	encrypt	VERB
cana-3099	17	30	protocols	protocol	NOUN
cana-3099	17	31	without	without	ADP
cana-3099	17	32	requiring	require	VERB
cana-3099	17	33	access	access	NOUN
cana-3099	17	34	to	to	ADP
cana-3099	17	35	message	message	NOUN
cana-3099	17	36	content	content	NOUN
cana-3099	17	37	.	.	PUNCT
cana-3099	18	1	because	because	SCONJ
cana-3099	18	2	of	of	ADP
cana-3099	18	3	these	these	DET
cana-3099	18	4	advantages	advantage	NOUN
cana-3099	18	5	,	,	PUNCT
cana-3099	18	6	the	the	DET
cana-3099	18	7	anomaly	anomaly	NOUN
cana-3099	18	8	-	-	PUNCT
cana-3099	18	9	based	base	VERB
cana-3099	18	10	detection	detection	NOUN
cana-3099	18	11	technique	technique	NOUN
cana-3099	18	12	is	be	AUX
cana-3099	18	13	increasingly	increasingly	ADV
cana-3099	18	14	being	be	AUX
cana-3099	18	15	mailto:manikrao.dhore@vit.edu	mailto:manikrao.dhore@vit.edu	NOUN
cana-3099	18	16	mailto:3shivam50x20@gmail.com	mailto:3shivam50x20@gmail.com	PROPN
cana-3099	18	17	mailto:5nirajpatil1306@gmail.com	mailto:5nirajpatil1306@gmail.com	PROPN
cana-3099	18	18	communications	communication	NOUN
cana-3099	18	19	on	on	ADP
cana-3099	18	20	applied	apply	VERB
cana-3099	18	21	nonlinear	nonlinear	ADJ
cana-3099	18	22	analysis	analysis	NOUN
cana-3099	18	23	issn	issn	NOUN
cana-3099	18	24	:	:	PUNCT
cana-3099	18	25	1074	1074	NUM
cana-3099	18	26	-	-	PUNCT
cana-3099	18	27	133x	133x	NUM
cana-3099	18	28	vol	vol	NOUN
cana-3099	18	29	32	32	NUM
cana-3099	18	30	no	no	NOUN
cana-3099	18	31	.	.	PUNCT
cana-3099	19	1	5s	5s	NUM
cana-3099	19	2	(	(	PUNCT
cana-3099	19	3	2025	2025	NUM
cana-3099	19	4	)	)	PUNCT
cana-3099	19	5	278	278	NUM
cana-3099	19	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	19	7	used	use	VERB
cana-3099	19	8	to	to	PART
cana-3099	19	9	detect	detect	VERB
cana-3099	19	10	and	and	CCONJ
cana-3099	19	11	thwart	thwart	VERB
cana-3099	19	12	network	network	NOUN
cana-3099	19	13	attacks	attack	NOUN
cana-3099	19	14	.	.	PUNCT
cana-3099	20	1	this	this	DET
cana-3099	20	2	project	project	NOUN
cana-3099	20	3	aims	aim	VERB
cana-3099	20	4	to	to	PART
cana-3099	20	5	further	further	VERB
cana-3099	20	6	the	the	DET
cana-3099	20	7	field	field	NOUN
cana-3099	20	8	by	by	ADP
cana-3099	20	9	developing	develop	VERB
cana-3099	20	10	a	a	DET
cana-3099	20	11	system	system	NOUN
cana-3099	20	12	that	that	PRON
cana-3099	20	13	quickly	quickly	ADV
cana-3099	20	14	and	and	CCONJ
cana-3099	20	15	correctly	correctly	ADV
cana-3099	20	16	detects	detect	VERB
cana-3099	20	17	network	network	NOUN
cana-3099	20	18	anomalies	anomaly	NOUN
cana-3099	20	19	using	use	VERB
cana-3099	20	20	machine	machine	NOUN
cana-3099	20	21	learning	learning	NOUN
cana-3099	20	22	techniques	technique	NOUN
cana-3099	20	23	.	.	PUNCT
cana-3099	21	1	fig	fig	NOUN
cana-3099	21	2	1	1	NUM
cana-3099	21	3	:	:	PUNCT
cana-3099	21	4	cyber	cyber	ADJ
cana-3099	21	5	attack	attack	NOUN
cana-3099	21	6	numbers	number	NOUN
cana-3099	21	7	by	by	ADP
cana-3099	21	8	determining	determine	VERB
cana-3099	21	9	the	the	DET
cana-3099	21	10	most	most	ADV
cana-3099	21	11	pertinent	pertinent	ADJ
cana-3099	21	12	characteristics	characteristic	NOUN
cana-3099	21	13	for	for	ADP
cana-3099	21	14	different	different	ADJ
cana-3099	21	15	attack	attack	NOUN
cana-3099	21	16	types	type	NOUN
cana-3099	22	1	,	,	PUNCT
cana-3099	22	2	the	the	DET
cana-3099	22	3	suggested	suggest	VERB
cana-3099	22	4	approach	approach	NOUN
cana-3099	22	5	seeks	seek	VERB
cana-3099	22	6	to	to	PART
cana-3099	22	7	improve	improve	VERB
cana-3099	22	8	machine	machine	NOUN
cana-3099	22	9	learning	learning	NOUN
cana-3099	22	10	-	-	PUNCT
cana-3099	22	11	based	base	VERB
cana-3099	22	12	network	network	NOUN
cana-3099	22	13	anomaly	anomaly	NOUN
cana-3099	22	14	detection	detection	NOUN
cana-3099	22	15	.	.	PUNCT
cana-3099	23	1	by	by	ADP
cana-3099	23	2	ensuring	ensure	VERB
cana-3099	23	3	accurate	accurate	ADJ
cana-3099	23	4	and	and	CCONJ
cana-3099	23	5	effective	effective	ADJ
cana-3099	23	6	classification	classification	NOUN
cana-3099	23	7	,	,	PUNCT
cana-3099	23	8	this	this	PRON
cana-3099	23	9	improves	improve	VERB
cana-3099	23	10	network	network	NOUN
cana-3099	23	11	system	system	NOUN
cana-3099	23	12	security	security	NOUN
cana-3099	23	13	.	.	PUNCT
cana-3099	24	1	the	the	DET
cana-3099	24	2	significance	significance	NOUN
cana-3099	24	3	of	of	ADP
cana-3099	24	4	network	network	NOUN
cana-3099	24	5	security	security	NOUN
cana-3099	24	6	and	and	CCONJ
cana-3099	24	7	the	the	DET
cana-3099	24	8	necessity	necessity	NOUN
cana-3099	24	9	of	of	ADP
cana-3099	24	10	efficient	efficient	ADJ
cana-3099	24	11	threat	threat	NOUN
cana-3099	24	12	detection	detection	NOUN
cana-3099	24	13	are	be	AUX
cana-3099	24	14	covered	cover	VERB
cana-3099	24	15	in	in	ADP
cana-3099	24	16	the	the	DET
cana-3099	24	17	introduction	introduction	NOUN
cana-3099	24	18	to	to	PART
cana-3099	24	19	provide	provide	VERB
cana-3099	24	20	a	a	DET
cana-3099	24	21	summary	summary	NOUN
cana-3099	24	22	of	of	ADP
cana-3099	24	23	the	the	DET
cana-3099	24	24	inquiry	inquiry	NOUN
cana-3099	24	25	.	.	PUNCT
cana-3099	25	1	the	the	DET
cana-3099	25	2	literature	literature	NOUN
cana-3099	25	3	study	study	NOUN
cana-3099	25	4	that	that	PRON
cana-3099	25	5	follows	follow	VERB
cana-3099	25	6	examines	examine	NOUN
cana-3099	25	7	past	past	ADP
cana-3099	25	8	research	research	NOUN
cana-3099	25	9	on	on	ADP
cana-3099	25	10	network	network	NOUN
cana-3099	25	11	intrusion	intrusion	NOUN
cana-3099	25	12	detection	detection	NOUN
cana-3099	25	13	systems	system	NOUN
cana-3099	25	14	,	,	PUNCT
cana-3099	25	15	feature	feature	NOUN
cana-3099	25	16	selection	selection	NOUN
cana-3099	25	17	,	,	PUNCT
cana-3099	25	18	and	and	CCONJ
cana-3099	25	19	machine	machine	NOUN
cana-3099	25	20	learning	learning	NOUN
cana-3099	25	21	models	model	NOUN
cana-3099	25	22	.	.	PUNCT
cana-3099	26	1	methodology	methodology	NOUN
cana-3099	26	2	describes	describe	VERB
cana-3099	26	3	the	the	DET
cana-3099	26	4	steps	step	NOUN
cana-3099	26	5	involved	involve	VERB
cana-3099	26	6	in	in	ADP
cana-3099	26	7	gathering	gather	VERB
cana-3099	26	8	data	datum	NOUN
cana-3099	26	9	,	,	PUNCT
cana-3099	26	10	choosing	choose	VERB
cana-3099	26	11	features	feature	NOUN
cana-3099	26	12	,	,	PUNCT
cana-3099	26	13	putting	put	VERB
cana-3099	26	14	machine	machine	NOUN
cana-3099	26	15	learning	learning	NOUN
cana-3099	26	16	models	model	NOUN
cana-3099	26	17	into	into	ADP
cana-3099	26	18	practice	practice	NOUN
cana-3099	26	19	,	,	PUNCT
cana-3099	26	20	and	and	CCONJ
cana-3099	26	21	evaluating	evaluate	VERB
cana-3099	26	22	the	the	DET
cana-3099	26	23	results	result	NOUN
cana-3099	26	24	.	.	PUNCT
cana-3099	27	1	the	the	DET
cana-3099	27	2	paper	paper	NOUN
cana-3099	27	3	's	's	PART
cana-3099	27	4	findings	finding	NOUN
cana-3099	27	5	are	be	AUX
cana-3099	27	6	examined	examine	VERB
cana-3099	27	7	.	.	PUNCT
cana-3099	28	1	the	the	DET
cana-3099	28	2	model	model	NOUN
cana-3099	28	3	performance	performance	NOUN
cana-3099	28	4	findings	finding	NOUN
cana-3099	28	5	are	be	AUX
cana-3099	28	6	presented	present	VERB
cana-3099	28	7	in	in	ADP
cana-3099	28	8	the	the	DET
cana-3099	28	9	paper	paper	NOUN
cana-3099	28	10	using	use	VERB
cana-3099	28	11	a	a	DET
cana-3099	28	12	variety	variety	NOUN
cana-3099	28	13	of	of	ADP
cana-3099	28	14	metrics	metric	NOUN
cana-3099	28	15	,	,	PUNCT
cana-3099	28	16	such	such	ADJ
cana-3099	28	17	as	as	ADP
cana-3099	28	18	recall	recall	NOUN
cana-3099	28	19	,	,	PUNCT
cana-3099	28	20	accuracy	accuracy	NOUN
cana-3099	28	21	,	,	PUNCT
cana-3099	28	22	and	and	CCONJ
cana-3099	28	23	precision	precision	NOUN
cana-3099	28	24	.	.	PUNCT
cana-3099	29	1	in	in	ADP
cana-3099	29	2	2019	2019	NUM
cana-3099	29	3	,	,	PUNCT
cana-3099	29	4	some	some	DET
cana-3099	29	5	researchers	researcher	NOUN
cana-3099	29	6	used	use	VERB
cana-3099	29	7	machine	machine	NOUN
cana-3099	29	8	learning	learning	NOUN
cana-3099	29	9	approaches	approach	NOUN
cana-3099	29	10	for	for	ADP
cana-3099	29	11	the	the	DET
cana-3099	29	12	pattern	pattern	NOUN
cana-3099	29	13	classification	classification	NOUN
cana-3099	30	1	[	[	X
cana-3099	30	2	7][8	7][8	X
cana-3099	30	3	]	]	PUNCT
cana-3099	30	4	.	.	PUNCT
cana-3099	31	1	objectives	objective	NOUN
cana-3099	31	2	:	:	PUNCT
cana-3099	31	3	to	to	PART
cana-3099	31	4	develop	develop	VERB
cana-3099	31	5	a	a	DET
cana-3099	31	6	machine	machine	NOUN
cana-3099	31	7	learning	learning	NOUN
cana-3099	31	8	-	-	PUNCT
cana-3099	31	9	based	base	VERB
cana-3099	31	10	network	network	NOUN
cana-3099	31	11	anomaly	anomaly	NOUN
cana-3099	31	12	detection	detection	NOUN
cana-3099	31	13	system	system	NOUN
cana-3099	31	14	capable	capable	ADJ
cana-3099	31	15	of	of	ADP
cana-3099	31	16	identifying	identify	VERB
cana-3099	31	17	malicious	malicious	ADJ
cana-3099	31	18	activities	activity	NOUN
cana-3099	31	19	,	,	PUNCT
cana-3099	31	20	including	include	VERB
cana-3099	31	21	zero	zero	NUM
cana-3099	31	22	-	-	PUNCT
cana-3099	31	23	day	day	NOUN
cana-3099	31	24	attacks	attack	NOUN
cana-3099	31	25	,	,	PUNCT
cana-3099	31	26	in	in	ADP
cana-3099	31	27	both	both	PRON
cana-3099	31	28	encrypted	encrypt	VERB
cana-3099	31	29	and	and	CCONJ
cana-3099	31	30	unencrypted	unencrypted	ADJ
cana-3099	31	31	network	network	NOUN
cana-3099	31	32	traffic	traffic	NOUN
cana-3099	31	33	.	.	PUNCT
cana-3099	32	1	the	the	DET
cana-3099	32	2	system	system	NOUN
cana-3099	32	3	focuses	focus	VERB
cana-3099	32	4	on	on	ADP
cana-3099	32	5	:	:	PUNCT
cana-3099	32	6	•	•	NOUN
cana-3099	32	7	enhancing	enhance	VERB
cana-3099	32	8	detection	detection	NOUN
cana-3099	32	9	accuracy	accuracy	NOUN
cana-3099	32	10	.	.	PUNCT
cana-3099	33	1	•	•	NUM
cana-3099	33	2	reducing	reduce	VERB
cana-3099	33	3	false	false	ADJ
cana-3099	33	4	positives	positive	NOUN
cana-3099	33	5	.	.	PUNCT
cana-3099	34	1	•	•	NOUN
cana-3099	34	2	using	use	VERB
cana-3099	34	3	feature	feature	NOUN
cana-3099	34	4	selection	selection	NOUN
cana-3099	34	5	to	to	PART
cana-3099	34	6	optimize	optimize	VERB
cana-3099	34	7	the	the	DET
cana-3099	34	8	classification	classification	NOUN
cana-3099	34	9	of	of	ADP
cana-3099	34	10	network	network	NOUN
cana-3099	34	11	anomalies	anomaly	NOUN
cana-3099	34	12	.	.	PUNCT
cana-3099	35	1	methods	method	NOUN
cana-3099	35	2	:	:	PUNCT
cana-3099	35	3	this	this	DET
cana-3099	35	4	paper	paper	NOUN
cana-3099	35	5	describes	describe	VERB
cana-3099	35	6	a	a	DET
cana-3099	35	7	machine	machine	NOUN
cana-3099	35	8	learning	learning	NOUN
cana-3099	35	9	-	-	PUNCT
cana-3099	35	10	based	base	VERB
cana-3099	35	11	approach	approach	NOUN
cana-3099	35	12	to	to	ADP
cana-3099	35	13	network	network	NOUN
cana-3099	35	14	anomaly	anomaly	NOUN
cana-3099	35	15	detection	detection	NOUN
cana-3099	35	16	.	.	PUNCT
cana-3099	36	1	it	it	PRON
cana-3099	36	2	utilises	utilise	VERB
cana-3099	36	3	the	the	DET
cana-3099	36	4	cicids	cicid	NOUN
cana-3099	36	5	2017	2017	NUM
cana-3099	36	6	dataset	dataset	NOUN
cana-3099	36	7	,	,	PUNCT
cana-3099	36	8	which	which	PRON
cana-3099	36	9	contains	contain	VERB
cana-3099	36	10	malicious	malicious	ADJ
cana-3099	36	11	and	and	CCONJ
cana-3099	36	12	benign	benign	ADJ
cana-3099	36	13	traffic	traffic	NOUN
cana-3099	36	14	as	as	ADV
cana-3099	36	15	well	well	ADV
cana-3099	36	16	as	as	ADP
cana-3099	36	17	a	a	DET
cana-3099	36	18	range	range	NOUN
cana-3099	36	19	of	of	ADP
cana-3099	36	20	attack	attack	NOUN
cana-3099	36	21	strategies	strategy	NOUN
cana-3099	36	22	.	.	PUNCT
cana-3099	37	1	we	we	PRON
cana-3099	37	2	have	have	AUX
cana-3099	37	3	used	use	VERB
cana-3099	37	4	different	different	ADJ
cana-3099	37	5	papers	paper	NOUN
cana-3099	37	6	and	and	CCONJ
cana-3099	37	7	came	come	VERB
cana-3099	37	8	to	to	ADP
cana-3099	37	9	the	the	DET
cana-3099	37	10	conclusion	conclusion	NOUN
cana-3099	37	11	that	that	SCONJ
cana-3099	37	12	our	our	PRON
cana-3099	37	13	model	model	NOUN
cana-3099	37	14	knn	knn	PROPN
cana-3099	37	15	performs	perform	VERB
cana-3099	37	16	well	well	ADV
cana-3099	37	17	and	and	CCONJ
cana-3099	37	18	it	it	PRON
cana-3099	37	19	has	have	VERB
cana-3099	37	20	fmeasure	fmeasure	NOUN
cana-3099	37	21	of	of	ADP
cana-3099	37	22	86	86	NUM
cana-3099	37	23	that	that	PRON
cana-3099	37	24	is	be	AUX
cana-3099	37	25	highest	high	ADJ
cana-3099	37	26	in	in	ADP
cana-3099	37	27	comparison	comparison	NOUN
cana-3099	37	28	to	to	ADP
cana-3099	37	29	other	other	ADJ
cana-3099	37	30	models	model	NOUN
cana-3099	37	31	that	that	PRON
cana-3099	37	32	we	we	PRON
cana-3099	37	33	have	have	AUX
cana-3099	37	34	compared	compare	VERB
cana-3099	37	35	.	.	PUNCT
cana-3099	38	1	the	the	DET
cana-3099	38	2	research	research	NOUN
cana-3099	38	3	focuses	focus	VERB
cana-3099	38	4	on	on	ADP
cana-3099	38	5	feature	feature	NOUN
cana-3099	38	6	selection	selection	NOUN
cana-3099	38	7	and	and	CCONJ
cana-3099	38	8	the	the	DET
cana-3099	38	9	application	application	NOUN
cana-3099	38	10	of	of	ADP
cana-3099	38	11	machine	machine	NOUN
cana-3099	38	12	learning	learn	VERB
cana-3099	38	13	approaches	approach	NOUN
cana-3099	38	14	to	to	PART
cana-3099	38	15	identify	identify	VERB
cana-3099	38	16	significant	significant	ADJ
cana-3099	38	17	patterns	pattern	NOUN
cana-3099	38	18	that	that	PRON
cana-3099	38	19	classify	classify	VERB
cana-3099	38	20	specific	specific	ADJ
cana-3099	38	21	assault	assault	NOUN
cana-3099	38	22	behaviours	behaviour	NOUN
cana-3099	38	23	.	.	PUNCT
cana-3099	39	1	the	the	DET
cana-3099	39	2	goal	goal	NOUN
cana-3099	39	3	is	be	AUX
cana-3099	39	4	to	to	PART
cana-3099	39	5	develop	develop	VERB
cana-3099	39	6	a	a	DET
cana-3099	39	7	reliable	reliable	ADJ
cana-3099	39	8	communications	communication	NOUN
cana-3099	39	9	on	on	ADP
cana-3099	39	10	applied	apply	VERB
cana-3099	39	11	nonlinear	nonlinear	ADJ
cana-3099	39	12	analysis	analysis	NOUN
cana-3099	39	13	issn	issn	NOUN
cana-3099	39	14	:	:	PUNCT
cana-3099	39	15	1074	1074	NUM
cana-3099	39	16	-	-	PUNCT
cana-3099	39	17	133x	133x	NUM
cana-3099	39	18	vol	vol	NOUN
cana-3099	39	19	32	32	NUM
cana-3099	39	20	no	no	NOUN
cana-3099	39	21	.	.	PUNCT
cana-3099	40	1	5s	5s	NUM
cana-3099	40	2	(	(	PUNCT
cana-3099	40	3	2025	2025	NUM
cana-3099	40	4	)	)	PUNCT
cana-3099	40	5	279	279	NUM
cana-3099	40	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	40	7	machine	machine	NOUN
cana-3099	40	8	learning	learning	NOUN
cana-3099	40	9	model	model	NOUN
cana-3099	40	10	that	that	PRON
cana-3099	40	11	has	have	VERB
cana-3099	40	12	a	a	DET
cana-3099	40	13	high	high	ADJ
cana-3099	40	14	degree	degree	NOUN
cana-3099	40	15	of	of	ADP
cana-3099	40	16	accuracy	accuracy	NOUN
cana-3099	40	17	and	and	CCONJ
cana-3099	40	18	few	few	ADJ
cana-3099	40	19	false	false	ADJ
cana-3099	40	20	alarms	alarm	NOUN
cana-3099	40	21	while	while	SCONJ
cana-3099	40	22	detecting	detect	VERB
cana-3099	40	23	network	network	NOUN
cana-3099	40	24	anomalies	anomaly	NOUN
cana-3099	40	25	.	.	PUNCT
cana-3099	41	1	knn	knn	PROPN
cana-3099	41	2	performs	perform	VERB
cana-3099	41	3	well	well	ADV
cana-3099	41	4	and	and	CCONJ
cana-3099	41	5	it	it	PRON
cana-3099	41	6	is	be	AUX
cana-3099	41	7	best	good	ADJ
cana-3099	41	8	to	to	PART
cana-3099	41	9	counter	counter	VERB
cana-3099	41	10	the	the	DET
cana-3099	41	11	attacks	attack	NOUN
cana-3099	41	12	.	.	PUNCT
cana-3099	42	1	fig	fig	NOUN
cana-3099	42	2	2	2	NUM
cana-3099	42	3	:	:	PUNCT
cana-3099	42	4	system	system	NOUN
cana-3099	42	5	architecture	architecture	NOUN
cana-3099	42	6	the	the	DET
cana-3099	42	7	design	design	NOUN
cana-3099	42	8	of	of	ADP
cana-3099	42	9	the	the	DET
cana-3099	42	10	suggested	suggest	VERB
cana-3099	42	11	system	system	NOUN
cana-3099	42	12	is	be	AUX
cana-3099	42	13	organised	organise	VERB
cana-3099	42	14	into	into	ADP
cana-3099	42	15	multiple	multiple	ADJ
cana-3099	42	16	stages	stage	NOUN
cana-3099	42	17	:	:	PUNCT
cana-3099	42	18	gathering	gather	VERB
cana-3099	42	19	features	feature	NOUN
cana-3099	42	20	,	,	PUNCT
cana-3099	42	21	data	datum	NOUN
cana-3099	42	22	preparation	preparation	NOUN
cana-3099	42	23	,	,	PUNCT
cana-3099	42	24	model	model	NOUN
cana-3099	42	25	selection	selection	NOUN
cana-3099	42	26	and	and	CCONJ
cana-3099	42	27	training	training	NOUN
cana-3099	42	28	,	,	PUNCT
cana-3099	42	29	and	and	CCONJ
cana-3099	42	30	evaluation	evaluation	NOUN
cana-3099	42	31	matrix	matrix	NOUN
cana-3099	42	32	,	,	PUNCT
cana-3099	42	33	deployment	deployment	NOUN
cana-3099	42	34	of	of	ADP
cana-3099	42	35	the	the	DET
cana-3099	42	36	detection	detection	NOUN
cana-3099	42	37	,	,	PUNCT
cana-3099	42	38	analysis	analysis	NOUN
cana-3099	42	39	as	as	SCONJ
cana-3099	42	40	shown	show	VERB
cana-3099	42	41	is	be	AUX
cana-3099	42	42	fig	fig	NOUN
cana-3099	42	43	2	2	NUM
cana-3099	42	44	.	.	PUNCT
cana-3099	43	1	developing	develop	VERB
cana-3099	43	2	a	a	DET
cana-3099	43	3	trustworthy	trustworthy	ADJ
cana-3099	43	4	machine	machine	NOUN
cana-3099	43	5	learning	learning	NOUN
cana-3099	43	6	model	model	NOUN
cana-3099	43	7	that	that	PRON
cana-3099	43	8	can	can	AUX
cana-3099	43	9	detect	detect	VERB
cana-3099	43	10	network	network	NOUN
cana-3099	43	11	irregularities	irregularity	NOUN
cana-3099	43	12	with	with	ADP
cana-3099	43	13	a	a	DET
cana-3099	43	14	high	high	ADJ
cana-3099	43	15	degree	degree	NOUN
cana-3099	43	16	of	of	ADP
cana-3099	43	17	accuracy	accuracy	NOUN
cana-3099	43	18	and	and	CCONJ
cana-3099	43	19	few	few	ADJ
cana-3099	43	20	false	false	ADJ
cana-3099	43	21	alarms	alarm	NOUN
cana-3099	43	22	is	be	AUX
cana-3099	43	23	the	the	DET
cana-3099	43	24	aim	aim	NOUN
cana-3099	43	25	.	.	PUNCT
cana-3099	44	1	then	then	ADV
cana-3099	44	2	the	the	DET
cana-3099	44	3	model	model	NOUN
cana-3099	44	4	analyses	analyse	VERB
cana-3099	44	5	performance	performance	NOUN
cana-3099	44	6	of	of	ADP
cana-3099	44	7	the	the	DET
cana-3099	44	8	dataset	dataset	NOUN
cana-3099	44	9	and	and	CCONJ
cana-3099	44	10	makes	make	VERB
cana-3099	44	11	sure	sure	ADJ
cana-3099	44	12	it	it	PRON
cana-3099	44	13	is	be	AUX
cana-3099	44	14	robust	robust	ADJ
cana-3099	44	15	.	.	PUNCT
cana-3099	45	1	another	another	DET
cana-3099	45	2	thing	thing	NOUN
cana-3099	45	3	that	that	PRON
cana-3099	45	4	this	this	DET
cana-3099	45	5	system	system	NOUN
cana-3099	45	6	architecture	architecture	NOUN
cana-3099	45	7	has	have	VERB
cana-3099	45	8	is	be	AUX
cana-3099	45	9	the	the	DET
cana-3099	45	10	detection	detection	NOUN
cana-3099	45	11	of	of	ADP
cana-3099	45	12	anomaly	anomaly	NOUN
cana-3099	45	13	and	and	CCONJ
cana-3099	45	14	alerting	alert	VERB
cana-3099	45	15	system	system	NOUN
cana-3099	45	16	and	and	CCONJ
cana-3099	45	17	notifications	notification	NOUN
cana-3099	45	18	sent	send	VERB
cana-3099	45	19	to	to	ADP
cana-3099	45	20	the	the	DET
cana-3099	45	21	user	user	NOUN
cana-3099	45	22	when	when	SCONJ
cana-3099	45	23	the	the	DET
cana-3099	45	24	attack	attack	NOUN
cana-3099	45	25	is	be	AUX
cana-3099	45	26	happening	happen	VERB
cana-3099	45	27	.	.	PUNCT
cana-3099	46	1	we	we	PRON
cana-3099	46	2	have	have	VERB
cana-3099	46	3	the	the	DET
cana-3099	46	4	k	k	NOUN
cana-3099	46	5	-	-	PUNCT
cana-3099	46	6	nearest	near	ADJ
cana-3099	46	7	neighbour	neighbour	ADJ
cana-3099	46	8	algorithm	algorithm	NOUN
cana-3099	46	9	for	for	ADP
cana-3099	46	10	detecting	detect	VERB
cana-3099	46	11	the	the	DET
cana-3099	46	12	attacks	attack	NOUN
cana-3099	46	13	.	.	PUNCT
cana-3099	47	1	with	with	ADP
cana-3099	47	2	an	an	DET
cana-3099	47	3	fmeasure	fmeasure	NOUN
cana-3099	47	4	of	of	ADP
cana-3099	47	5	86	86	NUM
cana-3099	47	6	that	that	PRON
cana-3099	47	7	is	be	AUX
cana-3099	47	8	the	the	DET
cana-3099	47	9	highest	high	ADJ
cana-3099	47	10	.	.	PUNCT
cana-3099	48	1	we	we	PRON
cana-3099	48	2	have	have	AUX
cana-3099	48	3	included	include	VERB
cana-3099	48	4	16	16	NUM
cana-3099	48	5	attacks	attack	NOUN
cana-3099	48	6	in	in	ADP
cana-3099	48	7	this	this	DET
cana-3099	48	8	project	project	NOUN
cana-3099	48	9	.	.	PUNCT
cana-3099	49	1	a.	a.	NOUN
cana-3099	49	2	dataset	dataset	PROPN
cana-3099	49	3	description	description	NOUN
cana-3099	49	4	this	this	DET
cana-3099	49	5	dataset	dataset	NOUN
cana-3099	49	6	is	be	AUX
cana-3099	49	7	addressed	address	VERB
cana-3099	49	8	in	in	ADP
cana-3099	49	9	the	the	DET
cana-3099	49	10	cicids	cicid	NOUN
cana-3099	49	11	2017	2017	NUM
cana-3099	49	12	(	(	PUNCT
cana-3099	49	13	intrusion	intrusion	NOUN
cana-3099	49	14	detection	detection	NOUN
cana-3099	49	15	evaluation	evaluation	NOUN
cana-3099	49	16	dataset	dataset	NOUN
cana-3099	49	17	)	)	PUNCT
cana-3099	49	18	that	that	PRON
cana-3099	49	19	was	be	AUX
cana-3099	49	20	created	create	VERB
cana-3099	49	21	by	by	ADP
cana-3099	49	22	the	the	DET
cana-3099	49	23	canadian	canadian	PROPN
cana-3099	49	24	institute	institute	PROPN
cana-3099	49	25	for	for	ADP
cana-3099	49	26	cybersecurity	cybersecurity	NOUN
cana-3099	49	27	at	at	ADP
cana-3099	49	28	the	the	DET
cana-3099	49	29	university	university	NOUN
cana-3099	49	30	of	of	ADP
cana-3099	49	31	new	new	PROPN
cana-3099	49	32	brunswick	brunswick	PROPN
cana-3099	49	33	.	.	PUNCT
cana-3099	50	1	this	this	DET
cana-3099	50	2	dataset	dataset	NOUN
cana-3099	50	3	consists	consist	VERB
cana-3099	50	4	of	of	ADP
cana-3099	50	5	a	a	DET
cana-3099	50	6	5	5	NUM
cana-3099	50	7	-	-	PUNCT
cana-3099	50	8	day	day	NOUN
cana-3099	50	9	(	(	PUNCT
cana-3099	50	10	3rd	3rd	ADJ
cana-3099	50	11	july7th	july7th	PROPN
cana-3099	50	12	july	july	PROPN
cana-3099	50	13	2017	2017	NUM
cana-3099	50	14	)	)	PUNCT
cana-3099	50	15	data	datum	NOUN
cana-3099	50	16	stream	stream	NOUN
cana-3099	50	17	on	on	ADP
cana-3099	50	18	a	a	DET
cana-3099	50	19	network	network	NOUN
cana-3099	50	20	created	create	VERB
cana-3099	50	21	by	by	ADP
cana-3099	50	22	computers	computer	NOUN
cana-3099	50	23	using	use	VERB
cana-3099	50	24	upto	upto	NOUN
cana-3099	50	25	-	-	PUNCT
cana-3099	50	26	date	date	NOUN
cana-3099	50	27	operating	operating	NOUN
cana-3099	50	28	systems	system	NOUN
cana-3099	50	29	.	.	PUNCT
cana-3099	51	1	they	they	PRON
cana-3099	51	2	have	have	AUX
cana-3099	51	3	used	use	VERB
cana-3099	51	4	all	all	DET
cana-3099	51	5	major	major	ADJ
cana-3099	51	6	attacks	attack	NOUN
cana-3099	51	7	that	that	PRON
cana-3099	51	8	happen	happen	VERB
cana-3099	51	9	in	in	ADP
cana-3099	51	10	the	the	DET
cana-3099	51	11	industry	industry	NOUN
cana-3099	51	12	.	.	PUNCT
cana-3099	52	1	below	below	ADP
cana-3099	52	2	figure	figure	NOUN
cana-3099	52	3	3	3	NUM
cana-3099	52	4	shows	show	VERB
cana-3099	52	5	dataset	dataset	ADJ
cana-3099	52	6	description	description	NOUN
cana-3099	52	7	.	.	PUNCT
cana-3099	53	1	communications	communication	NOUN
cana-3099	53	2	on	on	ADP
cana-3099	53	3	applied	apply	VERB
cana-3099	53	4	nonlinear	nonlinear	ADJ
cana-3099	53	5	analysis	analysis	NOUN
cana-3099	53	6	issn	issn	NOUN
cana-3099	53	7	:	:	PUNCT
cana-3099	53	8	1074	1074	NUM
cana-3099	53	9	-	-	PUNCT
cana-3099	53	10	133x	133x	NUM
cana-3099	53	11	vol	vol	NOUN
cana-3099	53	12	32	32	NUM
cana-3099	53	13	no	no	NOUN
cana-3099	53	14	.	.	PUNCT
cana-3099	54	1	5s	5s	NUM
cana-3099	54	2	(	(	PUNCT
cana-3099	54	3	2025	2025	NUM
cana-3099	54	4	)	)	PUNCT
cana-3099	54	5	280	280	NUM
cana-3099	54	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	54	7	fig	fig	NOUN
cana-3099	54	8	3	3	NUM
cana-3099	54	9	:	:	PUNCT
cana-3099	54	10	collected	collect	VERB
cana-3099	54	11	dataset	dataset	NOUN
cana-3099	54	12	for	for	ADP
cana-3099	54	13	major	major	ADJ
cana-3099	54	14	attacks	attack	NOUN
cana-3099	54	15	this	this	DET
cana-3099	54	16	cicids	cicid	NOUN
cana-3099	54	17	data	datum	NOUN
cana-3099	54	18	set	set	NOUN
cana-3099	54	19	has	have	VERB
cana-3099	54	20	the	the	DET
cana-3099	54	21	following	follow	VERB
cana-3099	54	22	advantages	advantage	NOUN
cana-3099	54	23	given	give	VERB
cana-3099	54	24	below	below	ADP
cana-3099	54	25	:	:	PUNCT
cana-3099	54	26	•	•	ADP
cana-3099	54	27	the	the	DET
cana-3099	54	28	dataset	dataset	NOUN
cana-3099	54	29	contains	contain	VERB
cana-3099	54	30	real	real	ADJ
cana-3099	54	31	-	-	PUNCT
cana-3099	54	32	world	world	NOUN
cana-3099	54	33	data	datum	NOUN
cana-3099	54	34	from	from	ADP
cana-3099	54	35	a	a	DET
cana-3099	54	36	testbed	testbed	NOUN
cana-3099	54	37	of	of	ADP
cana-3099	54	38	actual	actual	ADJ
cana-3099	54	39	computers	computer	NOUN
cana-3099	54	40	.	.	PUNCT
cana-3099	55	1	data	datum	NOUN
cana-3099	55	2	streams	stream	NOUN
cana-3099	55	3	were	be	AUX
cana-3099	55	4	gathered	gather	VERB
cana-3099	55	5	from	from	ADP
cana-3099	55	6	machines	machine	NOUN
cana-3099	55	7	running	run	VERB
cana-3099	55	8	the	the	DET
cana-3099	55	9	latest	late	ADJ
cana-3099	55	10	operating	operating	NOUN
cana-3099	55	11	systems	system	NOUN
cana-3099	55	12	,	,	PUNCT
cana-3099	55	13	with	with	ADP
cana-3099	55	14	diversity	diversity	NOUN
cana-3099	55	15	across	across	ADP
cana-3099	55	16	mac	mac	PROPN
cana-3099	55	17	,	,	PUNCT
cana-3099	55	18	windows	window	NOUN
cana-3099	55	19	,	,	PUNCT
cana-3099	55	20	and	and	CCONJ
cana-3099	55	21	linux	linux	PROPN
cana-3099	55	22	platforms	platform	NOUN
cana-3099	55	23	for	for	ADP
cana-3099	55	24	both	both	CCONJ
cana-3099	55	25	attackers	attacker	NOUN
cana-3099	55	26	and	and	CCONJ
cana-3099	55	27	victims	victim	NOUN
cana-3099	55	28	os	os	INTJ
cana-3099	55	29	(	(	PUNCT
cana-3099	55	30	operating	operating	NOUN
cana-3099	55	31	system	system	NOUN
cana-3099	55	32	)	)	PUNCT
cana-3099	55	33	that	that	PRON
cana-3099	55	34	are	be	AUX
cana-3099	55	35	used	use	VERB
cana-3099	55	36	.	.	PUNCT
cana-3099	56	1	•	•	NOUN
cana-3099	56	2	this	this	DET
cana-3099	56	3	dataset	dataset	NOUN
cana-3099	56	4	is	be	AUX
cana-3099	56	5	labelled	label	VERB
cana-3099	56	6	,	,	PUNCT
cana-3099	56	7	enabling	enable	VERB
cana-3099	56	8	its	its	PRON
cana-3099	56	9	use	use	NOUN
cana-3099	56	10	in	in	ADP
cana-3099	56	11	machine	machine	NOUN
cana-3099	56	12	learning	learning	NOUN
cana-3099	56	13	applications	application	NOUN
cana-3099	56	14	.	.	PUNCT
cana-3099	57	1	a	a	DET
cana-3099	57	2	critical	critical	ADJ
cana-3099	57	3	step	step	NOUN
cana-3099	57	4	of	of	ADP
cana-3099	57	5	feature	feature	NOUN
cana-3099	57	6	extraction	extraction	NOUN
cana-3099	57	7	was	be	AUX
cana-3099	57	8	performed	perform	VERB
cana-3099	57	9	,	,	PUNCT
cana-3099	57	10	and	and	CCONJ
cana-3099	57	11	the	the	DET
cana-3099	57	12	end	end	NOUN
cana-3099	57	13	result	result	VERB
cana-3099	57	14	85	85	NUM
cana-3099	57	15	features	feature	NOUN
cana-3099	57	16	.	.	PUNCT
cana-3099	58	1	•	•	NUM
cana-3099	58	2	the	the	DET
cana-3099	58	3	raw	raw	ADJ
cana-3099	58	4	data	datum	NOUN
cana-3099	58	5	(	(	PUNCT
cana-3099	58	6	p	p	NOUN
cana-3099	58	7	-	-	PUNCT
cana-3099	58	8	cap	cap	NOUN
cana-3099	58	9	files	file	NOUN
cana-3099	58	10	containing	contain	VERB
cana-3099	58	11	captured	capture	VERB
cana-3099	58	12	network	network	NOUN
cana-3099	58	13	packets	packet	NOUN
cana-3099	58	14	that	that	PRON
cana-3099	58	15	are	be	AUX
cana-3099	58	16	usually	usually	ADV
cana-3099	58	17	sent	send	VERB
cana-3099	58	18	during	during	ADP
cana-3099	58	19	communication	communication	NOUN
cana-3099	58	20	)	)	PUNCT
cana-3099	58	21	and	and	CCONJ
cana-3099	58	22	processed	process	VERB
cana-3099	58	23	data	datum	NOUN
cana-3099	58	24	(	(	PUNCT
cana-3099	58	25	csv	csv	VERB
cana-3099	58	26	files	file	NOUN
cana-3099	58	27	with	with	ADP
cana-3099	58	28	comma	comma	NOUN
cana-3099	58	29	-	-	PUNCT
cana-3099	58	30	separated	separate	VERB
cana-3099	58	31	values	value	NOUN
cana-3099	58	32	)	)	PUNCT
cana-3099	58	33	are	be	AUX
cana-3099	58	34	provided	provide	VERB
cana-3099	58	35	for	for	ADP
cana-3099	58	36	analysis	analysis	NOUN
cana-3099	58	37	and	and	CCONJ
cana-3099	58	38	detection	detection	NOUN
cana-3099	58	39	.	.	PUNCT
cana-3099	59	1	•	•	NUM
cana-3099	59	2	this	this	DET
cana-3099	59	3	selection	selection	NOUN
cana-3099	59	4	of	of	ADP
cana-3099	59	5	attacks	attack	NOUN
cana-3099	59	6	included	include	VERB
cana-3099	59	7	in	in	ADP
cana-3099	59	8	the	the	DET
cana-3099	59	9	dataset	dataset	NOUN
cana-3099	59	10	was	be	AUX
cana-3099	59	11	informed	inform	VERB
cana-3099	59	12	and	and	CCONJ
cana-3099	59	13	verified	verify	VERB
cana-3099	59	14	by	by	ADP
cana-3099	59	15	the	the	DET
cana-3099	59	16	2016	2016	NUM
cana-3099	59	17	mcafee	mcafee	NOUN
cana-3099	59	18	security	security	NOUN
cana-3099	59	19	report	report	NOUN
cana-3099	59	20	and	and	CCONJ
cana-3099	59	21	norton	norton	PROPN
cana-3099	59	22	security	security	NOUN
cana-3099	59	23	report	report	NOUN
cana-3099	59	24	,	,	PUNCT
cana-3099	59	25	ensuring	ensure	VERB
cana-3099	59	26	a	a	DET
cana-3099	59	27	comprehensive	comprehensive	ADJ
cana-3099	59	28	and	and	CCONJ
cana-3099	59	29	current	current	ADJ
cana-3099	59	30	variety	variety	NOUN
cana-3099	59	31	of	of	ADP
cana-3099	59	32	attack	attack	NOUN
cana-3099	59	33	types	type	NOUN
cana-3099	59	34	.	.	PUNCT
cana-3099	60	1	the	the	DET
cana-3099	60	2	dataset	dataset	NOUN
cana-3099	60	3	is	be	AUX
cana-3099	60	4	richer	rich	ADJ
cana-3099	60	5	than	than	ADP
cana-3099	60	6	others	other	NOUN
cana-3099	60	7	in	in	ADP
cana-3099	60	8	terms	term	NOUN
cana-3099	60	9	of	of	ADP
cana-3099	60	10	the	the	DET
cana-3099	60	11	protocols	protocol	NOUN
cana-3099	60	12	it	it	PRON
cana-3099	60	13	encompasses	encompass	VERB
cana-3099	60	14	,	,	PUNCT
cana-3099	60	15	including	include	VERB
cana-3099	60	16	https	https	NOUN
cana-3099	60	17	,	,	PUNCT
cana-3099	60	18	tp	tp	NOUN
cana-3099	60	19	,	,	PUNCT
cana-3099	60	20	ssh	ssh	PROPN
cana-3099	60	21	.	.	PUNCT
cana-3099	60	22	b.	b.	PROPN
cana-3099	60	23	dataset	dataset	PROPN
cana-3099	60	24	preprocessing	preprocesse	VERB
cana-3099	60	25	this	this	DET
cana-3099	60	26	section	section	NOUN
cana-3099	60	27	describes	describe	VERB
cana-3099	60	28	the	the	DET
cana-3099	60	29	processes	process	NOUN
cana-3099	60	30	performed	perform	VERB
cana-3099	60	31	to	to	PART
cana-3099	60	32	resolve	resolve	VERB
cana-3099	60	33	concerns	concern	NOUN
cana-3099	60	34	in	in	ADP
cana-3099	60	35	the	the	DET
cana-3099	60	36	dataset	dataset	NOUN
cana-3099	60	37	,	,	PUNCT
cana-3099	60	38	including	include	VERB
cana-3099	60	39	as	as	ADP
cana-3099	60	40	error	error	NOUN
cana-3099	60	41	correction	correction	NOUN
cana-3099	60	42	,	,	PUNCT
cana-3099	60	43	missing	miss	VERB
cana-3099	60	44	value	value	NOUN
cana-3099	60	45	management	management	NOUN
cana-3099	60	46	,	,	PUNCT
cana-3099	60	47	and	and	CCONJ
cana-3099	60	48	data	datum	NOUN
cana-3099	60	49	type	type	NOUN
cana-3099	60	50	transformations	transformation	NOUN
cana-3099	60	51	for	for	ADP
cana-3099	60	52	optimal	optimal	ADJ
cana-3099	60	53	model	model	NOUN
cana-3099	60	54	performance	performance	NOUN
cana-3099	60	55	and	and	CCONJ
cana-3099	60	56	dataset	dataset	NOUN
cana-3099	60	57	verification	verification	NOUN
cana-3099	60	58	.	.	PUNCT
cana-3099	61	1	the	the	DET
cana-3099	61	2	cicids2017	cicids2017	PROPN
cana-3099	61	3	dataset	dataset	NOUN
cana-3099	61	4	initially	initially	ADV
cana-3099	61	5	contains	contain	VERB
cana-3099	61	6	almost	almost	ADV
cana-3099	61	7	3,119,345	3,119,345	NUM
cana-3099	61	8	stream	stream	NOUN
cana-3099	61	9	records	record	NOUN
cana-3099	61	10	that	that	PRON
cana-3099	61	11	were	be	AUX
cana-3099	61	12	used	use	VERB
cana-3099	61	13	,	,	PUNCT
cana-3099	61	14	which	which	PRON
cana-3099	61	15	are	be	AUX
cana-3099	61	16	distributed	distribute	VERB
cana-3099	61	17	as	as	SCONJ
cana-3099	61	18	indicated	indicate	VERB
cana-3099	61	19	in	in	ADP
cana-3099	61	20	fig	fig	NOUN
cana-3099	61	21	below	below	ADV
cana-3099	61	22	.	.	PUNCT
cana-3099	62	1	some	some	DET
cana-3099	62	2	records	record	NOUN
cana-3099	62	3	were	be	AUX
cana-3099	62	4	found	find	VERB
cana-3099	62	5	to	to	PART
cana-3099	62	6	be	be	AUX
cana-3099	62	7	incomplete	incomplete	ADJ
cana-3099	62	8	or	or	CCONJ
cana-3099	62	9	unlabelled	unlabelled	ADJ
cana-3099	62	10	,	,	PUNCT
cana-3099	62	11	particularly	particularly	ADV
cana-3099	62	12	288,602	288,602	NUM
cana-3099	62	13	records	record	NOUN
cana-3099	62	14	saved	save	VERB
cana-3099	62	15	as	as	ADP
cana-3099	62	16	empty	empty	ADJ
cana-3099	62	17	placeholders	placeholder	NOUN
cana-3099	62	18	or	or	CCONJ
cana-3099	62	19	different	different	ADJ
cana-3099	62	20	values	value	NOUN
cana-3099	62	21	.	.	PUNCT
cana-3099	63	1	these	these	DET
cana-3099	63	2	records	record	NOUN
cana-3099	63	3	were	be	AUX
cana-3099	63	4	eliminated	eliminate	VERB
cana-3099	63	5	to	to	PART
cana-3099	63	6	improve	improve	VERB
cana-3099	63	7	the	the	DET
cana-3099	63	8	dataset	dataset	NOUN
cana-3099	63	9	's	's	PART
cana-3099	63	10	quality	quality	NOUN
cana-3099	63	11	and	and	CCONJ
cana-3099	63	12	efficiency	efficiency	NOUN
cana-3099	63	13	.	.	PUNCT
cana-3099	64	1	following	follow	VERB
cana-3099	64	2	fig	fig	NOUN
cana-3099	64	3	4	4	NUM
cana-3099	64	4	:	:	PUNCT
cana-3099	64	5	communications	communication	NOUN
cana-3099	64	6	on	on	ADP
cana-3099	64	7	applied	apply	VERB
cana-3099	64	8	nonlinear	nonlinear	ADJ
cana-3099	64	9	analysis	analysis	NOUN
cana-3099	64	10	issn	issn	NOUN
cana-3099	64	11	:	:	PUNCT
cana-3099	64	12	1074	1074	NUM
cana-3099	64	13	-	-	PUNCT
cana-3099	64	14	133x	133x	NUM
cana-3099	64	15	vol	vol	NOUN
cana-3099	64	16	32	32	NUM
cana-3099	64	17	no	no	NOUN
cana-3099	64	18	.	.	PUNCT
cana-3099	65	1	5s	5s	NUM
cana-3099	65	2	(	(	PUNCT
cana-3099	65	3	2025	2025	NUM
cana-3099	65	4	)	)	PUNCT
cana-3099	65	5	281	281	NUM
cana-3099	65	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	65	7	fig	fig	NOUN
cana-3099	65	8	4	4	NUM
cana-3099	65	9	:	:	PUNCT
cana-3099	65	10	data	datum	NOUN
cana-3099	65	11	points	point	NOUN
cana-3099	65	12	for	for	ADP
cana-3099	65	13	various	various	ADJ
cana-3099	65	14	attacks	attack	NOUN
cana-3099	65	15	c.	c.	PROPN
cana-3099	65	16	feature	feature	NOUN
cana-3099	65	17	selection	selection	NOUN
cana-3099	65	18	:	:	PUNCT
cana-3099	65	19	for	for	ADP
cana-3099	65	20	feature	feature	NOUN
cana-3099	65	21	selection	selection	NOUN
cana-3099	65	22	,	,	PUNCT
cana-3099	65	23	two	two	NUM
cana-3099	65	24	approaches	approach	NOUN
cana-3099	65	25	were	be	AUX
cana-3099	65	26	used	use	VERB
cana-3099	65	27	according	accord	VERB
cana-3099	65	28	to	to	ADP
cana-3099	65	29	attack	attack	NOUN
cana-3099	65	30	specific	specific	ADJ
cana-3099	65	31	and	and	CCONJ
cana-3099	65	32	a	a	DET
cana-3099	65	33	combined	combined	ADJ
cana-3099	65	34	dataset	dataset	NOUN
cana-3099	65	35	.	.	PUNCT
cana-3099	66	1	approach	approach	NOUN
cana-3099	66	2	1	1	NUM
cana-3099	66	3	:	:	PUNCT
cana-3099	66	4	feature	feature	NOUN
cana-3099	66	5	selection	selection	NOUN
cana-3099	66	6	according	accord	VERB
cana-3099	66	7	to	to	ADP
cana-3099	66	8	attack	attack	NOUN
cana-3099	66	9	types	type	NOUN
cana-3099	66	10	approach	approach	VERB
cana-3099	66	11	,	,	PUNCT
cana-3099	66	12	each	each	DET
cana-3099	66	13	attack	attack	NOUN
cana-3099	66	14	of	of	ADP
cana-3099	66	15	type	type	NOUN
cana-3099	66	16	data	datum	NOUN
cana-3099	66	17	was	be	AUX
cana-3099	66	18	isolated	isolate	VERB
cana-3099	66	19	into	into	ADP
cana-3099	66	20	a	a	DET
cana-3099	66	21	separate	separate	ADJ
cana-3099	66	22	file	file	NOUN
cana-3099	66	23	and	and	CCONJ
cana-3099	66	24	for	for	ADP
cana-3099	66	25	every	every	DET
cana-3099	66	26	attack	attack	NOUN
cana-3099	66	27	type	type	NOUN
cana-3099	66	28	,	,	PUNCT
cana-3099	66	29	the	the	DET
cana-3099	66	30	file	file	NOUN
cana-3099	66	31	created	create	VERB
cana-3099	66	32	had	have	VERB
cana-3099	66	33	30	30	NUM
cana-3099	66	34	%	%	NOUN
cana-3099	66	35	attack	attack	NOUN
cana-3099	66	36	data	datum	NOUN
cana-3099	66	37	points	point	NOUN
cana-3099	66	38	and	and	CCONJ
cana-3099	66	39	70	70	NUM
cana-3099	66	40	%	%	NOUN
cana-3099	66	41	benign	benign	ADJ
cana-3099	66	42	data	datum	NOUN
cana-3099	66	43	points	point	NOUN
cana-3099	66	44	.	.	PUNCT
cana-3099	67	1	each	each	DET
cana-3099	67	2	file	file	NOUN
cana-3099	67	3	used	use	VERB
cana-3099	67	4	to	to	PART
cana-3099	67	5	attack	attack	VERB
cana-3099	67	6	specific	specific	ADJ
cana-3099	67	7	relevant	relevant	ADJ
cana-3099	67	8	features	feature	NOUN
cana-3099	67	9	based	base	VERB
cana-3099	67	10	on	on	ADP
cana-3099	67	11	the	the	DET
cana-3099	67	12	feature	feature	NOUN
cana-3099	67	13	selection	selection	NOUN
cana-3099	67	14	phase	phase	NOUN
cana-3099	67	15	.	.	PUNCT
cana-3099	68	1	and	and	CCONJ
cana-3099	68	2	this	this	DET
cana-3099	68	3	approach	approach	NOUN
cana-3099	68	4	was	be	AUX
cana-3099	68	5	employed	employ	VERB
cana-3099	68	6	to	to	PART
cana-3099	68	7	understand	understand	VERB
cana-3099	68	8	relation	relation	NOUN
cana-3099	68	9	between	between	ADP
cana-3099	68	10	attack	attack	NOUN
cana-3099	68	11	specific	specific	ADJ
cana-3099	68	12	features	feature	NOUN
cana-3099	68	13	and	and	CCONJ
cana-3099	68	14	how	how	SCONJ
cana-3099	68	15	different	different	ADJ
cana-3099	68	16	algorithms	algorithm	NOUN
cana-3099	68	17	respond	respond	VERB
cana-3099	68	18	to	to	ADP
cana-3099	68	19	them	they	PRON
cana-3099	68	20	helping	help	VERB
cana-3099	68	21	in	in	ADP
cana-3099	68	22	understanding	understanding	NOUN
cana-3099	68	23	at	at	ADP
cana-3099	68	24	a	a	DET
cana-3099	68	25	more	more	ADV
cana-3099	68	26	granular	granular	ADJ
cana-3099	68	27	level	level	NOUN
cana-3099	68	28	.	.	PUNCT
cana-3099	69	1	approach	approach	NOUN
cana-3099	69	2	2	2	NUM
cana-3099	69	3	:	:	PUNCT
cana-3099	69	4	feature	feature	NOUN
cana-3099	69	5	selection	selection	NOUN
cana-3099	69	6	for	for	ADP
cana-3099	69	7	combined	combine	VERB
cana-3099	69	8	attack	attack	NOUN
cana-3099	69	9	and	and	CCONJ
cana-3099	69	10	benign	benign	ADJ
cana-3099	69	11	labels	label	NOUN
cana-3099	69	12	in	in	ADP
cana-3099	69	13	this	this	DET
cana-3099	69	14	approach	approach	NOUN
cana-3099	69	15	,	,	PUNCT
cana-3099	69	16	all	all	DET
cana-3099	69	17	the	the	DET
cana-3099	69	18	dataset	dataset	NOUN
cana-3099	69	19	was	be	AUX
cana-3099	69	20	combined	combine	VERB
cana-3099	69	21	into	into	ADP
cana-3099	69	22	one	one	NUM
cana-3099	69	23	dataset	dataset	NOUN
cana-3099	69	24	.	.	PUNCT
cana-3099	70	1	the	the	DET
cana-3099	70	2	data	data	NOUN
cana-3099	70	3	points	point	NOUN
cana-3099	70	4	were	be	AUX
cana-3099	70	5	divided	divide	VERB
cana-3099	70	6	into	into	ADP
cana-3099	70	7	"	"	PUNCT
cana-3099	70	8	attack	attack	NOUN
cana-3099	70	9	"	"	PUNCT
cana-3099	70	10	and	and	CCONJ
cana-3099	70	11	"	"	PUNCT
cana-3099	70	12	benign	benign	ADJ
cana-3099	70	13	"	"	PUNCT
cana-3099	70	14	classes	class	NOUN
cana-3099	70	15	creating	create	VERB
cana-3099	70	16	a	a	DET
cana-3099	70	17	binary	binary	ADJ
cana-3099	70	18	classification	classification	NOUN
cana-3099	70	19	.	.	PUNCT
cana-3099	71	1	here	here	ADV
cana-3099	71	2	,	,	PUNCT
cana-3099	71	3	for	for	ADP
cana-3099	71	4	each	each	DET
cana-3099	71	5	attack	attack	NOUN
cana-3099	71	6	type	type	NOUN
cana-3099	71	7	top	top	ADJ
cana-3099	71	8	4	4	NUM
cana-3099	71	9	features	feature	NOUN
cana-3099	71	10	were	be	AUX
cana-3099	71	11	selected	select	VERB
cana-3099	71	12	.	.	PUNCT
cana-3099	72	1	based	base	VERB
cana-3099	72	2	on	on	ADP
cana-3099	72	3	12	12	NUM
cana-3099	72	4	attack	attack	NOUN
cana-3099	72	5	types	type	NOUN
cana-3099	72	6	,	,	PUNCT
cana-3099	72	7	48	48	NUM
cana-3099	72	8	features	feature	NOUN
cana-3099	72	9	were	be	AUX
cana-3099	72	10	selected	select	VERB
cana-3099	72	11	from	from	ADP
cana-3099	72	12	which	which	PRON
cana-3099	72	13	after	after	ADP
cana-3099	72	14	removing	remove	VERB
cana-3099	72	15	the	the	DET
cana-3099	72	16	duplicates	duplicate	NOUN
cana-3099	72	17	resulted	result	VERB
cana-3099	72	18	in	in	ADP
cana-3099	72	19	18	18	NUM
cana-3099	72	20	unique	unique	ADJ
cana-3099	72	21	features	feature	NOUN
cana-3099	72	22	.	.	PUNCT
cana-3099	73	1	following	follow	VERB
cana-3099	73	2	fig	fig	NOUN
cana-3099	73	3	5	5	NUM
cana-3099	73	4	shows	show	NOUN
cana-3099	73	5	features	feature	NOUN
cana-3099	73	6	selected	select	VERB
cana-3099	73	7	.	.	PUNCT
cana-3099	74	1	fig	fig	NOUN
cana-3099	74	2	5	5	NUM
cana-3099	74	3	:	:	PUNCT
cana-3099	74	4	combined	combine	VERB
cana-3099	74	5	18	18	NUM
cana-3099	74	6	features	feature	NOUN
cana-3099	74	7	selected	select	VERB
cana-3099	74	8	another	another	DET
cana-3099	74	9	approach	approach	NOUN
cana-3099	74	10	was	be	AUX
cana-3099	74	11	employed	employ	VERB
cana-3099	74	12	based	base	VERB
cana-3099	74	13	on	on	ADP
cana-3099	74	14	the	the	DET
cana-3099	74	15	approach	approach	NOUN
cana-3099	74	16	above	above	ADV
cana-3099	74	17	.	.	PUNCT
cana-3099	75	1	features	feature	NOUN
cana-3099	75	2	that	that	PRON
cana-3099	75	3	contributed	contribute	VERB
cana-3099	75	4	most	most	ADV
cana-3099	75	5	were	be	AUX
cana-3099	75	6	selected	select	VERB
cana-3099	75	7	from	from	ADP
cana-3099	75	8	the	the	DET
cana-3099	75	9	features	feature	NOUN
cana-3099	75	10	selected	select	VERB
cana-3099	75	11	above	above	ADV
cana-3099	75	12	.	.	PUNCT
cana-3099	76	1	seven	seven	NUM
cana-3099	76	2	features	feature	NOUN
cana-3099	76	3	were	be	AUX
cana-3099	76	4	selected	select	VERB
cana-3099	76	5	that	that	PRON
cana-3099	76	6	contributed	contribute	VERB
cana-3099	76	7	to	to	ADP
cana-3099	76	8	the	the	DET
cana-3099	76	9	97	97	NUM
cana-3099	76	10	%	%	NOUN
cana-3099	76	11	of	of	ADP
cana-3099	76	12	the	the	DET
cana-3099	76	13	dataset	dataset	NOUN
cana-3099	76	14	.	.	PUNCT
cana-3099	77	1	the	the	DET
cana-3099	77	2	threshold	threshold	NOUN
cana-3099	77	3	was	be	AUX
cana-3099	77	4	set	set	VERB
cana-3099	77	5	at	at	ADP
cana-3099	77	6	0.8	0.8	NUM
cana-3099	77	7	%	%	NOUN
cana-3099	77	8	for	for	ADP
cana-3099	77	9	selecting	select	VERB
cana-3099	77	10	features	feature	NOUN
cana-3099	77	11	.	.	PUNCT
cana-3099	78	1	communications	communication	NOUN
cana-3099	78	2	on	on	ADP
cana-3099	78	3	applied	apply	VERB
cana-3099	78	4	nonlinear	nonlinear	ADJ
cana-3099	78	5	analysis	analysis	NOUN
cana-3099	78	6	issn	issn	NOUN
cana-3099	78	7	:	:	PUNCT
cana-3099	78	8	1074	1074	NUM
cana-3099	78	9	-	-	PUNCT
cana-3099	78	10	133x	133x	NUM
cana-3099	78	11	vol	vol	NOUN
cana-3099	78	12	32	32	NUM
cana-3099	78	13	no	no	NOUN
cana-3099	78	14	.	.	PUNCT
cana-3099	79	1	5s	5s	NUM
cana-3099	79	2	(	(	PUNCT
cana-3099	79	3	2025	2025	NUM
cana-3099	79	4	)	)	PUNCT
cana-3099	79	5	282	282	NUM
cana-3099	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	79	7	this	this	DET
cana-3099	79	8	strategy	strategy	NOUN
cana-3099	79	9	was	be	AUX
cana-3099	79	10	employed	employ	VERB
cana-3099	79	11	to	to	PART
cana-3099	79	12	reduce	reduce	VERB
cana-3099	79	13	the	the	DET
cana-3099	79	14	selected	select	VERB
cana-3099	79	15	features	feature	NOUN
cana-3099	79	16	and	and	CCONJ
cana-3099	79	17	use	use	VERB
cana-3099	79	18	only	only	ADV
cana-3099	79	19	the	the	DET
cana-3099	79	20	most	most	ADV
cana-3099	79	21	relevant	relevant	ADJ
cana-3099	79	22	features	feature	NOUN
cana-3099	79	23	to	to	PART
cana-3099	79	24	reduce	reduce	VERB
cana-3099	79	25	the	the	DET
cana-3099	79	26	computational	computational	ADJ
cana-3099	79	27	efficiency	efficiency	NOUN
cana-3099	79	28	.	.	PUNCT
cana-3099	80	1	the	the	DET
cana-3099	80	2	following	follow	VERB
cana-3099	80	3	feature	feature	NOUN
cana-3099	80	4	sets	set	NOUN
cana-3099	80	5	were	be	AUX
cana-3099	80	6	applied	apply	VERB
cana-3099	80	7	across	across	ADP
cana-3099	80	8	models	model	NOUN
cana-3099	80	9	to	to	PART
cana-3099	80	10	assess	assess	VERB
cana-3099	80	11	which	which	PRON
cana-3099	80	12	yielded	yield	VERB
cana-3099	80	13	optimal	optimal	ADJ
cana-3099	80	14	performance	performance	NOUN
cana-3099	80	15	•	•	NOUN
cana-3099	80	16	first	first	ADJ
cana-3099	80	17	feature	feature	NOUN
cana-3099	80	18	set	set	NOUN
cana-3099	80	19	:	:	PUNCT
cana-3099	80	20	manually	manually	ADV
cana-3099	80	21	defined	define	VERB
cana-3099	80	22	,	,	PUNCT
cana-3099	80	23	consisting	consist	VERB
cana-3099	80	24	of	of	ADP
cana-3099	80	25	18	18	NUM
cana-3099	80	26	relevant	relevant	ADJ
cana-3099	80	27	features	feature	NOUN
cana-3099	80	28	.	.	PUNCT
cana-3099	81	1	•	•	NUM
cana-3099	81	2	second	second	ADJ
cana-3099	81	3	feature	feature	NOUN
cana-3099	81	4	set	set	NOUN
cana-3099	81	5	:	:	PUNCT
cana-3099	81	6	the	the	DET
cana-3099	81	7	top	top	ADJ
cana-3099	81	8	4	4	NUM
cana-3099	81	9	features	feature	NOUN
cana-3099	81	10	for	for	ADP
cana-3099	81	11	each	each	DET
cana-3099	81	12	attack	attack	NOUN
cana-3099	81	13	type	type	NOUN
cana-3099	81	14	,	,	PUNCT
cana-3099	81	15	resulting	result	VERB
cana-3099	81	16	in	in	ADP
cana-3099	81	17	a	a	DET
cana-3099	81	18	total	total	NOUN
cana-3099	81	19	of	of	ADP
cana-3099	81	20	18	18	NUM
cana-3099	81	21	unique	unique	ADJ
cana-3099	81	22	features	feature	NOUN
cana-3099	81	23	.	.	PUNCT
cana-3099	82	1	•	•	NUM
cana-3099	82	2	third	third	ADJ
cana-3099	82	3	feature	feature	NOUN
cana-3099	82	4	set	set	NOUN
cana-3099	82	5	:	:	PUNCT
cana-3099	82	6	the	the	DET
cana-3099	82	7	7	7	NUM
cana-3099	82	8	most	most	ADV
cana-3099	82	9	important	important	ADJ
cana-3099	82	10	features	feature	NOUN
cana-3099	82	11	selected	select	VERB
cana-3099	82	12	according	accord	VERB
cana-3099	82	13	to	to	ADP
cana-3099	82	14	the	the	DET
cana-3099	82	15	0.8	0.8	NUM
cana-3099	82	16	%	%	NOUN
cana-3099	82	17	threshold	threshold	NOUN
cana-3099	82	18	weight	weight	NOUN
cana-3099	82	19	,	,	PUNCT
cana-3099	82	20	covering	cover	VERB
cana-3099	82	21	97	97	NUM
cana-3099	82	22	%	%	NOUN
cana-3099	82	23	of	of	ADP
cana-3099	82	24	total	total	ADJ
cana-3099	82	25	feature	feature	NOUN
cana-3099	82	26	importance	importance	NOUN
cana-3099	82	27	.	.	PUNCT
cana-3099	83	1	these	these	DET
cana-3099	83	2	selected	select	VERB
cana-3099	83	3	feature	feature	NOUN
cana-3099	83	4	sets	set	NOUN
cana-3099	83	5	enable	enable	VERB
cana-3099	83	6	a	a	DET
cana-3099	83	7	focused	focused	ADJ
cana-3099	83	8	and	and	CCONJ
cana-3099	83	9	efficient	efficient	ADJ
cana-3099	83	10	evaluation	evaluation	NOUN
cana-3099	83	11	of	of	ADP
cana-3099	83	12	model	model	NOUN
cana-3099	83	13	accuracy	accuracy	NOUN
cana-3099	83	14	in	in	ADP
cana-3099	83	15	detecting	detect	VERB
cana-3099	83	16	network	network	NOUN
cana-3099	83	17	anomalies	anomaly	NOUN
cana-3099	83	18	across	across	ADP
cana-3099	83	19	individual	individual	ADJ
cana-3099	83	20	attack	attack	NOUN
cana-3099	83	21	types	type	NOUN
cana-3099	83	22	and	and	CCONJ
cana-3099	83	23	generalized	generalized	ADJ
cana-3099	83	24	attack	attack	NOUN
cana-3099	83	25	pattern	pattern	NOUN
cana-3099	83	26	fig	fig	NOUN
cana-3099	83	27	6	6	NUM
cana-3099	83	28	:	:	PUNCT
cana-3099	83	29	feature	feature	NOUN
cana-3099	83	30	selection	selection	NOUN
cana-3099	83	31	model	model	NOUN
cana-3099	83	32	d.	d.	PROPN
cana-3099	83	33	model	model	PROPN
cana-3099	83	34	selection	selection	NOUN
cana-3099	83	35	and	and	CCONJ
cana-3099	83	36	training	training	NOUN
cana-3099	83	37	:	:	PUNCT
cana-3099	83	38	seven	seven	NUM
cana-3099	83	39	machine	machine	NOUN
cana-3099	83	40	learning	learning	NOUN
cana-3099	83	41	algorithms	algorithm	NOUN
cana-3099	83	42	—	—	PUNCT
cana-3099	83	43	naïve	naïve	ADJ
cana-3099	83	44	bayes	bayes	NOUN
cana-3099	83	45	,	,	PUNCT
cana-3099	83	46	random	random	ADJ
cana-3099	83	47	forest	forest	NOUN
cana-3099	83	48	,	,	PUNCT
cana-3099	83	49	k	k	X
cana-3099	83	50	-	-	PUNCT
cana-3099	83	51	nearest	near	ADJ
cana-3099	83	52	neighbours	neighbour	NOUN
cana-3099	83	53	(	(	PUNCT
cana-3099	83	54	knn	knn	PROPN
cana-3099	83	55	)	)	PUNCT
cana-3099	83	56	,	,	PUNCT
cana-3099	83	57	id3	id3	NOUN
cana-3099	83	58	(	(	PUNCT
cana-3099	83	59	iterative	iterative	NOUN
cana-3099	83	60	dichotomiser	dichotomiser	NOUN
cana-3099	83	61	3	3	NUM
cana-3099	83	62	)	)	PUNCT
cana-3099	83	63	,	,	PUNCT
cana-3099	83	64	adaboost	adaboost	ADV
cana-3099	83	65	,	,	PUNCT
cana-3099	83	66	multi	multi	ADJ
cana-3099	83	67	-	-	ADJ
cana-3099	83	68	layer	layer	ADJ
cana-3099	83	69	perceptron	perceptron	NOUN
cana-3099	83	70	(	(	PUNCT
cana-3099	83	71	mlp	mlp	PROPN
cana-3099	83	72	)	)	PUNCT
cana-3099	83	73	,	,	PUNCT
cana-3099	83	74	and	and	CCONJ
cana-3099	83	75	quadratic	quadratic	ADJ
cana-3099	83	76	discriminant	discriminant	ADJ
cana-3099	83	77	analysis	analysis	NOUN
cana-3099	83	78	(	(	PUNCT
cana-3099	83	79	qda)—were	qda)—were	ADV
cana-3099	83	80	chosen	choose	VERB
cana-3099	83	81	for	for	ADP
cana-3099	83	82	training	training	NOUN
cana-3099	83	83	and	and	CCONJ
cana-3099	83	84	testing	testing	NOUN
cana-3099	83	85	.	.	PUNCT
cana-3099	84	1	these	these	DET
cana-3099	84	2	models	model	NOUN
cana-3099	84	3	were	be	AUX
cana-3099	84	4	selected	select	VERB
cana-3099	84	5	for	for	ADP
cana-3099	84	6	their	their	PRON
cana-3099	84	7	proven	prove	VERB
cana-3099	84	8	capability	capability	NOUN
cana-3099	84	9	in	in	ADP
cana-3099	84	10	classification	classification	NOUN
cana-3099	84	11	tasks	task	NOUN
cana-3099	84	12	and	and	CCONJ
cana-3099	84	13	their	their	PRON
cana-3099	84	14	diverse	diverse	ADJ
cana-3099	84	15	methodological	methodological	ADJ
cana-3099	84	16	foundations	foundation	NOUN
cana-3099	84	17	.	.	PUNCT
cana-3099	85	1	these	these	DET
cana-3099	85	2	models	model	NOUN
cana-3099	85	3	were	be	AUX
cana-3099	85	4	selected	select	VERB
cana-3099	85	5	due	due	ADP
cana-3099	85	6	to	to	ADP
cana-3099	85	7	the	the	DET
cana-3099	85	8	stability	stability	NOUN
cana-3099	85	9	to	to	PART
cana-3099	85	10	handle	handle	VERB
cana-3099	85	11	prediction	prediction	NOUN
cana-3099	85	12	tasks	task	NOUN
cana-3099	85	13	which	which	PRON
cana-3099	85	14	was	be	AUX
cana-3099	85	15	necessary	necessary	ADJ
cana-3099	85	16	for	for	ADP
cana-3099	85	17	the	the	DET
cana-3099	85	18	approach	approach	NOUN
cana-3099	85	19	.	.	PUNCT
cana-3099	86	1	there	there	PRON
cana-3099	86	2	are	be	VERB
cana-3099	86	3	two	two	NUM
cana-3099	86	4	distinct	distinct	ADJ
cana-3099	86	5	approaches	approach	NOUN
cana-3099	86	6	that	that	PRON
cana-3099	86	7	were	be	AUX
cana-3099	86	8	utilized	utilize	VERB
cana-3099	86	9	to	to	PART
cana-3099	86	10	apply	apply	VERB
cana-3099	86	11	machine	machine	NOUN
cana-3099	86	12	learning	learn	VERB
cana-3099	86	13	algorithms	algorithm	NOUN
cana-3099	86	14	to	to	ADP
cana-3099	86	15	the	the	DET
cana-3099	86	16	dataset	dataset	NOUN
cana-3099	86	17	.	.	PUNCT
cana-3099	87	1	in	in	ADP
cana-3099	87	2	the	the	DET
cana-3099	87	3	first	first	ADJ
cana-3099	87	4	approach	approach	NOUN
cana-3099	87	5	,	,	PUNCT
cana-3099	87	6	files	file	NOUN
cana-3099	87	7	generated	generate	VERB
cana-3099	87	8	during	during	ADP
cana-3099	87	9	the	the	DET
cana-3099	87	10	feature	feature	NOUN
cana-3099	87	11	selection	selection	NOUN
cana-3099	87	12	phase	phase	NOUN
cana-3099	87	13	,	,	PUNCT
cana-3099	87	14	along	along	ADP
cana-3099	87	15	with	with	ADP
cana-3099	87	16	the	the	DET
cana-3099	87	17	selected	select	VERB
cana-3099	87	18	attributes	attribute	NOUN
cana-3099	87	19	,	,	PUNCT
cana-3099	87	20	were	be	AUX
cana-3099	87	21	used	use	VERB
cana-3099	87	22	.	.	PUNCT
cana-3099	88	1	these	these	DET
cana-3099	88	2	files	file	NOUN
cana-3099	88	3	consist	consist	VERB
cana-3099	88	4	of	of	ADP
cana-3099	88	5	30	30	NUM
cana-3099	88	6	%	%	NOUN
cana-3099	88	7	attack	attack	NOUN
cana-3099	88	8	data	datum	NOUN
cana-3099	88	9	and	and	CCONJ
cana-3099	88	10	70	70	NUM
cana-3099	88	11	%	%	NOUN
cana-3099	88	12	benign	benign	ADJ
cana-3099	88	13	data	datum	NOUN
cana-3099	88	14	,	,	PUNCT
cana-3099	88	15	each	each	PRON
cana-3099	88	16	named	name	VERB
cana-3099	88	17	according	accord	VERB
cana-3099	88	18	to	to	ADP
cana-3099	88	19	the	the	DET
cana-3099	88	20	specific	specific	ADJ
cana-3099	88	21	attack	attack	NOUN
cana-3099	88	22	type	type	NOUN
cana-3099	88	23	it	it	PRON
cana-3099	88	24	contains	contain	VERB
cana-3099	88	25	.	.	PUNCT
cana-3099	89	1	seven	seven	NUM
cana-3099	89	2	different	different	ADJ
cana-3099	89	3	machine	machine	NOUN
cana-3099	89	4	learning	learn	VERB
cana-3099	89	5	methods	method	NOUN
cana-3099	89	6	were	be	AUX
cana-3099	89	7	applied	apply	VERB
cana-3099	89	8	to	to	ADP
cana-3099	89	9	each	each	DET
cana-3099	89	10	file	file	NOUN
cana-3099	89	11	10	10	NUM
cana-3099	89	12	times	time	NOUN
cana-3099	89	13	,	,	PUNCT
cana-3099	89	14	producing	produce	VERB
cana-3099	89	15	separate	separate	ADJ
cana-3099	89	16	results	result	NOUN
cana-3099	89	17	for	for	ADP
cana-3099	89	18	each	each	DET
cana-3099	89	19	attack	attack	NOUN
cana-3099	89	20	type	type	NOUN
cana-3099	89	21	.	.	PUNCT
cana-3099	90	1	this	this	DET
cana-3099	90	2	approach	approach	NOUN
cana-3099	90	3	aimed	aim	VERB
cana-3099	90	4	to	to	PART
cana-3099	90	5	evaluate	evaluate	VERB
cana-3099	90	6	the	the	DET
cana-3099	90	7	effectiveness	effectiveness	NOUN
cana-3099	90	8	and	and	CCONJ
cana-3099	90	9	performance	performance	NOUN
cana-3099	90	10	of	of	ADP
cana-3099	90	11	various	various	ADJ
cana-3099	90	12	machine	machine	NOUN
cana-3099	90	13	learning	learn	VERB
cana-3099	90	14	methods	method	NOUN
cana-3099	90	15	across	across	ADP
cana-3099	90	16	different	different	ADJ
cana-3099	90	17	attack	attack	NOUN
cana-3099	90	18	types	type	NOUN
cana-3099	90	19	.	.	PUNCT
cana-3099	91	1	in	in	ADP
cana-3099	91	2	the	the	DET
cana-3099	91	3	second	second	ADJ
cana-3099	91	4	approach	approach	NOUN
cana-3099	91	5	,	,	PUNCT
cana-3099	91	6	the	the	DET
cana-3099	91	7	entire	entire	ADJ
cana-3099	91	8	dataset	dataset	NOUN
cana-3099	91	9	is	be	AUX
cana-3099	91	10	treated	treat	VERB
cana-3099	91	11	as	as	ADP
cana-3099	91	12	a	a	DET
cana-3099	91	13	single	single	ADJ
cana-3099	91	14	file	file	NOUN
cana-3099	91	15	,	,	PUNCT
cana-3099	91	16	where	where	SCONJ
cana-3099	91	17	all	all	DET
cana-3099	91	18	attack	attack	NOUN
cana-3099	91	19	instances	instance	NOUN
cana-3099	91	20	are	be	AUX
cana-3099	91	21	grouped	group	VERB
cana-3099	91	22	under	under	ADP
cana-3099	91	23	a	a	DET
cana-3099	91	24	single	single	ADJ
cana-3099	91	25	common	common	ADJ
cana-3099	91	26	label	label	NOUN
cana-3099	91	27	,	,	PUNCT
cana-3099	91	28	"	"	PUNCT
cana-3099	91	29	attack	attack	NOUN
cana-3099	91	30	.	.	PUNCT
cana-3099	91	31	"	"	PUNCT
cana-3099	92	1	as	as	ADP
cana-3099	92	2	a	a	DET
cana-3099	92	3	result	result	NOUN
cana-3099	92	4	,	,	PUNCT
cana-3099	92	5	the	the	DET
cana-3099	92	6	data	datum	NOUN
cana-3099	92	7	in	in	ADP
cana-3099	92	8	this	this	DET
cana-3099	92	9	file	file	NOUN
cana-3099	92	10	is	be	AUX
cana-3099	92	11	categorized	categorize	VERB
cana-3099	92	12	into	into	ADP
cana-3099	92	13	two	two	NUM
cana-3099	92	14	labels	label	NOUN
cana-3099	92	15	:	:	PUNCT
cana-3099	92	16	"	"	PUNCT
cana-3099	92	17	attack	attack	NOUN
cana-3099	92	18	"	"	PUNCT
cana-3099	92	19	and	and	CCONJ
cana-3099	92	20	"	"	PUNCT
cana-3099	92	21	benign	benign	ADJ
cana-3099	92	22	.	.	PUNCT
cana-3099	92	23	"	"	PUNCT
cana-3099	93	1	the	the	DET
cana-3099	93	2	feature	feature	NOUN
cana-3099	93	3	set	set	NOUN
cana-3099	93	4	is	be	AUX
cana-3099	93	5	constructed	construct	VERB
cana-3099	93	6	by	by	ADP
cana-3099	93	7	combining	combine	VERB
cana-3099	93	8	the	the	DET
cana-3099	93	9	top	top	ADJ
cana-3099	93	10	four	four	NUM
cana-3099	93	11	most	most	ADV
cana-3099	93	12	significant	significant	ADJ
cana-3099	93	13	features	feature	NOUN
cana-3099	93	14	(	(	PUNCT
cana-3099	93	15	based	base	VERB
cana-3099	93	16	on	on	ADP
cana-3099	93	17	importance	importance	NOUN
cana-3099	93	18	weights	weight	NOUN
cana-3099	93	19	)	)	PUNCT
cana-3099	93	20	identified	identify	VERB
cana-3099	93	21	for	for	ADP
cana-3099	93	22	each	each	DET
cana-3099	93	23	attack	attack	NOUN
cana-3099	93	24	type	type	NOUN
cana-3099	93	25	in	in	ADP
cana-3099	93	26	the	the	DET
cana-3099	93	27	first	first	ADJ
cana-3099	93	28	approach	approach	NOUN
cana-3099	93	29	.	.	PUNCT
cana-3099	94	1	this	this	DET
cana-3099	94	2	communications	communication	NOUN
cana-3099	94	3	on	on	ADP
cana-3099	94	4	applied	apply	VERB
cana-3099	94	5	nonlinear	nonlinear	ADJ
cana-3099	94	6	analysis	analysis	NOUN
cana-3099	94	7	issn	issn	NOUN
cana-3099	94	8	:	:	PUNCT
cana-3099	94	9	1074	1074	NUM
cana-3099	94	10	-	-	PUNCT
cana-3099	94	11	133x	133x	NUM
cana-3099	94	12	vol	vol	NOUN
cana-3099	94	13	32	32	NUM
cana-3099	94	14	no	no	NOUN
cana-3099	94	15	.	.	PUNCT
cana-3099	95	1	5s	5s	NUM
cana-3099	95	2	(	(	PUNCT
cana-3099	95	3	2025	2025	NUM
cana-3099	95	4	)	)	PUNCT
cana-3099	95	5	283	283	NUM
cana-3099	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	95	7	process	process	NOUN
cana-3099	95	8	yields	yield	VERB
cana-3099	95	9	a	a	DET
cana-3099	95	10	pool	pool	NOUN
cana-3099	95	11	of	of	ADP
cana-3099	95	12	48	48	NUM
cana-3099	95	13	features	feature	NOUN
cana-3099	95	14	derived	derive	VERB
cana-3099	95	15	from	from	ADP
cana-3099	95	16	the	the	DET
cana-3099	95	17	12	12	NUM
cana-3099	95	18	attack	attack	NOUN
cana-3099	95	19	types	type	NOUN
cana-3099	95	20	.	.	PUNCT
cana-3099	96	1	after	after	ADP
cana-3099	96	2	eliminating	eliminate	VERB
cana-3099	96	3	duplicate	duplicate	ADJ
cana-3099	96	4	features	feature	NOUN
cana-3099	96	5	,	,	PUNCT
cana-3099	96	6	the	the	DET
cana-3099	96	7	final	final	ADJ
cana-3099	96	8	feature	feature	NOUN
cana-3099	96	9	set	set	NOUN
cana-3099	96	10	is	be	AUX
cana-3099	96	11	reduced	reduce	VERB
cana-3099	96	12	to	to	ADP
cana-3099	96	13	18	18	NUM
cana-3099	96	14	unique	unique	ADJ
cana-3099	96	15	attributes	attribute	NOUN
cana-3099	96	16	mentioned	mention	VERB
cana-3099	96	17	above	above	ADV
cana-3099	96	18	in	in	ADP
cana-3099	96	19	fig	fig	NOUN
cana-3099	96	20	5	5	NUM
cana-3099	96	21	.	.	PUNCT
cana-3099	97	1	the	the	DET
cana-3099	97	2	alternative	alternative	ADJ
cana-3099	97	3	implementation	implementation	NOUN
cana-3099	97	4	of	of	ADP
cana-3099	97	5	this	this	DET
cana-3099	97	6	study	study	NOUN
cana-3099	97	7	involves	involve	VERB
cana-3099	97	8	selecting	select	VERB
cana-3099	97	9	features	feature	NOUN
cana-3099	97	10	based	base	VERB
cana-3099	97	11	on	on	ADP
cana-3099	97	12	their	their	PRON
cana-3099	97	13	highperformance	highperformance	NOUN
cana-3099	97	14	scores	score	NOUN
cana-3099	97	15	,	,	PUNCT
cana-3099	97	16	as	as	SCONJ
cana-3099	97	17	determined	determine	VERB
cana-3099	97	18	in	in	ADP
cana-3099	97	19	the	the	DET
cana-3099	97	20	"	"	PUNCT
cana-3099	97	21	feature	feature	NOUN
cana-3099	97	22	selection	selection	NOUN
cana-3099	97	23	of	of	ADP
cana-3099	97	24	attack	attack	NOUN
cana-3099	97	25	"	"	PUNCT
cana-3099	97	26	section	section	NOUN
cana-3099	97	27	,	,	PUNCT
cana-3099	97	28	rather	rather	ADV
cana-3099	97	29	than	than	ADP
cana-3099	97	30	using	use	VERB
cana-3099	97	31	all	all	DET
cana-3099	97	32	18	18	NUM
cana-3099	97	33	features	feature	NOUN
cana-3099	97	34	mentioned	mention	VERB
cana-3099	97	35	earlier	early	ADV
cana-3099	97	36	.	.	PUNCT
cana-3099	98	1	a	a	DET
cana-3099	98	2	threshold	threshold	NOUN
cana-3099	98	3	value	value	NOUN
cana-3099	98	4	of	of	ADP
cana-3099	98	5	0.8	0.8	NUM
cana-3099	98	6	%	%	NOUN
cana-3099	98	7	is	be	AUX
cana-3099	98	8	applied	apply	VERB
cana-3099	98	9	to	to	ADP
cana-3099	98	10	the	the	DET
cana-3099	98	11	feature	feature	NOUN
cana-3099	98	12	importance	importance	NOUN
cana-3099	98	13	scores	score	NOUN
cana-3099	98	14	.	.	PUNCT
cana-3099	99	1	by	by	ADP
cana-3099	99	2	using	use	VERB
cana-3099	99	3	this	this	DET
cana-3099	99	4	threshold	threshold	NOUN
cana-3099	99	5	,	,	PUNCT
cana-3099	99	6	97	97	NUM
cana-3099	99	7	%	%	NOUN
cana-3099	99	8	of	of	ADP
cana-3099	99	9	the	the	DET
cana-3099	99	10	total	total	ADJ
cana-3099	99	11	feature	feature	NOUN
cana-3099	99	12	importance	importance	NOUN
cana-3099	99	13	weight	weight	NOUN
cana-3099	99	14	is	be	AUX
cana-3099	99	15	captured	capture	VERB
cana-3099	99	16	with	with	ADP
cana-3099	99	17	just	just	ADV
cana-3099	99	18	7	7	NUM
cana-3099	99	19	features	feature	NOUN
cana-3099	99	20	,	,	PUNCT
cana-3099	99	21	while	while	SCONJ
cana-3099	99	22	the	the	DET
cana-3099	99	23	remaining	remain	VERB
cana-3099	99	24	13	13	NUM
cana-3099	99	25	features	feature	NOUN
cana-3099	99	26	account	account	VERB
cana-3099	99	27	for	for	ADP
cana-3099	99	28	only	only	ADV
cana-3099	99	29	3	3	NUM
cana-3099	99	30	%	%	NOUN
cana-3099	99	31	of	of	ADP
cana-3099	99	32	the	the	DET
cana-3099	99	33	total	total	ADJ
cana-3099	99	34	weight	weight	NOUN
cana-3099	99	35	.	.	PUNCT
cana-3099	100	1	when	when	SCONJ
cana-3099	100	2	features	feature	NOUN
cana-3099	100	3	with	with	ADP
cana-3099	100	4	an	an	DET
cana-3099	100	5	importance	importance	NOUN
cana-3099	100	6	weight	weight	NOUN
cana-3099	100	7	of	of	ADP
cana-3099	100	8	0.8	0.8	NUM
cana-3099	100	9	%	%	NOUN
cana-3099	100	10	or	or	CCONJ
cana-3099	100	11	higher	high	ADJ
cana-3099	100	12	are	be	AUX
cana-3099	100	13	selected	select	VERB
cana-3099	100	14	,	,	PUNCT
cana-3099	100	15	the	the	DET
cana-3099	100	16	following	follow	VERB
cana-3099	100	17	fig	fig	NOUN
cana-3099	100	18	7	7	NUM
cana-3099	100	19	features	feature	NOUN
cana-3099	100	20	are	be	AUX
cana-3099	100	21	used	use	VERB
cana-3099	100	22	and	and	CCONJ
cana-3099	100	23	their	their	PRON
cana-3099	100	24	%	%	NOUN
cana-3099	100	25	:	:	PUNCT
cana-3099	100	26	fig	fig	NOUN
cana-3099	100	27	7	7	NUM
cana-3099	100	28	:	:	PUNCT
cana-3099	100	29	weights	weight	NOUN
cana-3099	100	30	for	for	ADP
cana-3099	100	31	the	the	DET
cana-3099	100	32	most	most	ADV
cana-3099	100	33	relevant	relevant	ADJ
cana-3099	100	34	features	feature	VERB
cana-3099	100	35	all	all	DET
cana-3099	100	36	the	the	DET
cana-3099	100	37	seven	seven	NUM
cana-3099	100	38	algorithms	algorithm	NOUN
cana-3099	100	39	were	be	AUX
cana-3099	100	40	applied	apply	VERB
cana-3099	100	41	to	to	ADP
cana-3099	100	42	the	the	DET
cana-3099	100	43	dataset	dataset	NOUN
cana-3099	100	44	created	create	VERB
cana-3099	100	45	in	in	ADP
cana-3099	100	46	both	both	CCONJ
cana-3099	100	47	the	the	DET
cana-3099	100	48	approaches	approach	NOUN
cana-3099	100	49	again	again	ADV
cana-3099	100	50	.	.	PUNCT
cana-3099	101	1	this	this	PRON
cana-3099	101	2	was	be	AUX
cana-3099	101	3	done	do	VERB
cana-3099	101	4	to	to	PART
cana-3099	101	5	give	give	VERB
cana-3099	101	6	us	we	PRON
cana-3099	101	7	more	more	ADV
cana-3099	101	8	generalized	generalized	ADJ
cana-3099	101	9	knowledge	knowledge	NOUN
cana-3099	101	10	regarding	regard	VERB
cana-3099	101	11	the	the	DET
cana-3099	101	12	relation	relation	NOUN
cana-3099	101	13	and	and	CCONJ
cana-3099	101	14	response	response	NOUN
cana-3099	101	15	of	of	ADP
cana-3099	101	16	algorithms	algorithm	NOUN
cana-3099	101	17	to	to	ADP
cana-3099	101	18	the	the	DET
cana-3099	101	19	generalized	generalize	VERB
cana-3099	101	20	dataset	dataset	NOUN
cana-3099	101	21	giving	give	VERB
cana-3099	101	22	us	we	PRON
cana-3099	101	23	a	a	DET
cana-3099	101	24	broader	broad	ADJ
cana-3099	101	25	perspective	perspective	NOUN
cana-3099	101	26	of	of	ADP
cana-3099	101	27	the	the	DET
cana-3099	101	28	working	working	NOUN
cana-3099	101	29	of	of	ADP
cana-3099	101	30	algorithms	algorithm	NOUN
cana-3099	101	31	.	.	PUNCT
cana-3099	102	1	e.	e.	PROPN
cana-3099	102	2	evaluation	evaluation	PROPN
cana-3099	102	3	:	:	PUNCT
cana-3099	102	4	the	the	DET
cana-3099	102	5	evaluation	evaluation	NOUN
cana-3099	102	6	assessed	assess	VERB
cana-3099	102	7	the	the	DET
cana-3099	102	8	performance	performance	NOUN
cana-3099	102	9	of	of	ADP
cana-3099	102	10	seven	seven	NUM
cana-3099	102	11	machine	machine	NOUN
cana-3099	102	12	learning	learning	NOUN
cana-3099	102	13	models	model	NOUN
cana-3099	102	14	(	(	PUNCT
cana-3099	102	15	naïve	naïve	ADJ
cana-3099	102	16	bayes	bayes	NOUN
cana-3099	102	17	,	,	PUNCT
cana-3099	102	18	random	random	ADJ
cana-3099	102	19	forest	forest	NOUN
cana-3099	102	20	,	,	PUNCT
cana-3099	102	21	knn	knn	PROPN
cana-3099	102	22	,	,	PUNCT
cana-3099	102	23	id3	id3	PROPN
cana-3099	102	24	,	,	PUNCT
cana-3099	102	25	adaboost	adaboost	ADV
cana-3099	102	26	,	,	PUNCT
cana-3099	102	27	mlp	mlp	PROPN
cana-3099	102	28	,	,	PUNCT
cana-3099	102	29	qda	qda	PROPN
cana-3099	102	30	)	)	PUNCT
cana-3099	102	31	using	use	VERB
cana-3099	102	32	metrics	metric	NOUN
cana-3099	102	33	such	such	ADJ
cana-3099	102	34	as	as	ADP
cana-3099	102	35	accuracy	accuracy	NOUN
cana-3099	102	36	,	,	PUNCT
cana-3099	102	37	precision	precision	NOUN
cana-3099	102	38	,	,	PUNCT
cana-3099	102	39	recall	recall	NOUN
cana-3099	102	40	,	,	PUNCT
cana-3099	102	41	f1	f1	NOUN
cana-3099	102	42	-	-	PUNCT
cana-3099	102	43	score	score	NOUN
cana-3099	102	44	,	,	PUNCT
cana-3099	102	45	and	and	CCONJ
cana-3099	102	46	roc	roc	NOUN
cana-3099	102	47	-	-	PUNCT
cana-3099	102	48	auc	auc	NOUN
cana-3099	102	49	.	.	PUNCT
cana-3099	103	1	a	a	DET
cana-3099	103	2	10	10	NUM
cana-3099	103	3	-	-	ADJ
cana-3099	103	4	fold	fold	ADJ
cana-3099	103	5	cross	cross	ADJ
cana-3099	103	6	-	-	ADJ
cana-3099	103	7	validation	validation	ADJ
cana-3099	103	8	ensured	ensure	VERB
cana-3099	103	9	generalization	generalization	NOUN
cana-3099	103	10	.	.	PUNCT
cana-3099	104	1	•	•	NUM
cana-3099	104	2	approach	approach	NOUN
cana-3099	104	3	1	1	NUM
cana-3099	104	4	:	:	PUNCT
cana-3099	104	5	models	model	NOUN
cana-3099	104	6	trained	train	VERB
cana-3099	104	7	on	on	ADP
cana-3099	104	8	attack	attack	NOUN
cana-3099	104	9	-	-	PUNCT
cana-3099	104	10	specific	specific	ADJ
cana-3099	104	11	datasets	dataset	NOUN
cana-3099	104	12	were	be	AUX
cana-3099	104	13	evaluated	evaluate	VERB
cana-3099	104	14	for	for	ADP
cana-3099	104	15	each	each	DET
cana-3099	104	16	type	type	NOUN
cana-3099	104	17	of	of	ADP
cana-3099	104	18	attack	attack	NOUN
cana-3099	104	19	.	.	PUNCT
cana-3099	105	1	•	•	NUM
cana-3099	105	2	approach	approach	NOUN
cana-3099	105	3	2	2	NUM
cana-3099	105	4	:	:	PUNCT
cana-3099	105	5	models	model	NOUN
cana-3099	105	6	trained	train	VERB
cana-3099	105	7	on	on	ADP
cana-3099	105	8	a	a	DET
cana-3099	105	9	unified	unified	ADJ
cana-3099	105	10	dataset	dataset	NOUN
cana-3099	105	11	were	be	AUX
cana-3099	105	12	tested	test	VERB
cana-3099	105	13	for	for	ADP
cana-3099	105	14	overall	overall	ADJ
cana-3099	105	15	performance	performance	NOUN
cana-3099	105	16	across	across	ADP
cana-3099	105	17	all	all	DET
cana-3099	105	18	attacks	attack	NOUN
cana-3099	105	19	.	.	PUNCT
cana-3099	106	1	adaboost	adaboost	ADJ
cana-3099	106	2	and	and	CCONJ
cana-3099	106	3	random	random	ADJ
cana-3099	106	4	forest	forest	NOUN
cana-3099	106	5	excelled	excel	VERB
cana-3099	106	6	,	,	PUNCT
cana-3099	106	7	while	while	SCONJ
cana-3099	106	8	simpler	simple	ADJ
cana-3099	106	9	models	model	NOUN
cana-3099	106	10	like	like	ADP
cana-3099	106	11	naïve	naïve	ADJ
cana-3099	106	12	bayes	baye	NOUN
cana-3099	106	13	and	and	CCONJ
cana-3099	106	14	qda	qda	NOUN
cana-3099	106	15	struggled	struggle	VERB
cana-3099	106	16	with	with	ADP
cana-3099	106	17	precision	precision	NOUN
cana-3099	106	18	due	due	ADP
cana-3099	106	19	to	to	ADP
cana-3099	106	20	data	datum	NOUN
cana-3099	106	21	assumptions	assumption	NOUN
cana-3099	106	22	experiment	experiment	NOUN
cana-3099	106	23	results	result	NOUN
cana-3099	106	24	:	:	PUNCT
cana-3099	106	25	we	we	PRON
cana-3099	106	26	have	have	AUX
cana-3099	106	27	taken	take	VERB
cana-3099	106	28	the	the	DET
cana-3099	106	29	ccids	ccid	NOUN
cana-3099	106	30	2017	2017	NUM
cana-3099	106	31	dataset	dataset	NOUN
cana-3099	106	32	;	;	PUNCT
cana-3099	106	33	our	our	PRON
cana-3099	106	34	dataset	dataset	NOUN
cana-3099	106	35	does	do	AUX
cana-3099	106	36	n’t	not	PART
cana-3099	106	37	have	have	VERB
cana-3099	106	38	any	any	DET
cana-3099	106	39	dedicated	dedicated	ADJ
cana-3099	106	40	training	training	NOUN
cana-3099	106	41	and	and	CCONJ
cana-3099	106	42	test	test	NOUN
cana-3099	106	43	data	datum	NOUN
cana-3099	107	1	but	but	CCONJ
cana-3099	107	2	we	we	PRON
cana-3099	107	3	have	have	VERB
cana-3099	107	4	a	a	DET
cana-3099	107	5	the	the	DET
cana-3099	107	6	whole	whole	ADJ
cana-3099	107	7	unbundled	unbundled	ADJ
cana-3099	107	8	data	datum	NOUN
cana-3099	107	9	,	,	PUNCT
cana-3099	107	10	we	we	PRON
cana-3099	107	11	have	have	AUX
cana-3099	107	12	taken	take	VERB
cana-3099	107	13	the	the	DET
cana-3099	107	14	configuration	configuration	NOUN
cana-3099	107	15	of	of	ADP
cana-3099	107	16	80:20	80:20	NUM
cana-3099	107	17	,	,	PUNCT
cana-3099	107	18	that	that	PRON
cana-3099	107	19	is	be	AUX
cana-3099	107	20	80	80	NUM
cana-3099	107	21	%	%	NOUN
cana-3099	107	22	training	training	NOUN
cana-3099	107	23	data	datum	NOUN
cana-3099	107	24	and	and	CCONJ
cana-3099	107	25	rest	rest	VERB
cana-3099	107	26	20	20	NUM
cana-3099	107	27	%	%	NOUN
cana-3099	107	28	testing	testing	NOUN
cana-3099	107	29	data	datum	NOUN
cana-3099	107	30	,	,	PUNCT
cana-3099	107	31	we	we	PRON
cana-3099	107	32	have	have	AUX
cana-3099	107	33	make	make	VERB
cana-3099	107	34	the	the	DET
cana-3099	107	35	selection	selection	NOUN
cana-3099	107	36	random	random	ADJ
cana-3099	107	37	while	while	SCONJ
cana-3099	107	38	created	create	VERB
cana-3099	107	39	the	the	DET
cana-3099	107	40	sets	set	NOUN
cana-3099	107	41	which	which	PRON
cana-3099	107	42	called	call	VERB
cana-3099	107	43	as	as	ADP
cana-3099	107	44	cross	cross	NOUN
cana-3099	107	45	-	-	NOUN
cana-3099	107	46	validation	validation	ADJ
cana-3099	107	47	,	,	PUNCT
cana-3099	107	48	we	we	PRON
cana-3099	107	49	have	have	AUX
cana-3099	107	50	used	use	VERB
cana-3099	107	51	the	the	DET
cana-3099	107	52	hardware	hardware	NOUN
cana-3099	107	53	configuration	configuration	NOUN
cana-3099	107	54	as	as	ADP
cana-3099	107	55	our	our	PRON
cana-3099	107	56	laptop	laptop	NOUN
cana-3099	107	57	which	which	PRON
cana-3099	107	58	is	be	AUX
cana-3099	107	59	asus	asus	PROPN
cana-3099	107	60	tuf	tuf	PROPN
cana-3099	107	61	15	15	NUM
cana-3099	107	62	,	,	PUNCT
cana-3099	107	63	intel	intel	PROPN
cana-3099	107	64	i7	i7	PROPN
cana-3099	107	65	12th	12th	ADJ
cana-3099	107	66	gen	gen	PROPN
cana-3099	107	67	,	,	PUNCT
cana-3099	107	68	and	and	CCONJ
cana-3099	107	69	a	a	DET
cana-3099	107	70	nvidia	nvidia	PROPN
cana-3099	107	71	graphics	graphic	NOUN
cana-3099	107	72	card	card	NOUN
cana-3099	107	73	of	of	ADP
cana-3099	107	74	8	8	NUM
cana-3099	107	75	gb	gb	NOUN
cana-3099	107	76	rtx-3050	rtx-3050	NOUN
cana-3099	107	77	.	.	PUNCT
cana-3099	108	1	which	which	PRON
cana-3099	108	2	can	can	AUX
cana-3099	108	3	handle	handle	VERB
cana-3099	108	4	large	large	ADJ
cana-3099	108	5	data	datum	NOUN
cana-3099	108	6	for	for	ADP
cana-3099	108	7	the	the	DET
cana-3099	108	8	training	training	NOUN
cana-3099	108	9	and	and	CCONJ
cana-3099	108	10	testing	testing	NOUN
cana-3099	108	11	because	because	SCONJ
cana-3099	108	12	it	it	PRON
cana-3099	108	13	requires	require	VERB
cana-3099	108	14	high	high	ADJ
cana-3099	108	15	computational	computational	ADJ
cana-3099	108	16	power	power	NOUN
cana-3099	108	17	.	.	PUNCT
cana-3099	109	1	we	we	PRON
cana-3099	109	2	have	have	VERB
cana-3099	109	3	seven	seven	NUM
cana-3099	109	4	machine	machine	NOUN
cana-3099	109	5	models	model	NOUN
cana-3099	109	6	on	on	ADP
cana-3099	109	7	the	the	DET
cana-3099	109	8	12	12	NUM
cana-3099	109	9	attacks	attack	NOUN
cana-3099	109	10	and	and	CCONJ
cana-3099	109	11	the	the	DET
cana-3099	109	12	primary	primary	ADJ
cana-3099	109	13	metric	metric	NOUN
cana-3099	109	14	is	be	AUX
cana-3099	109	15	f	f	NOUN
cana-3099	109	16	-	-	PUNCT
cana-3099	109	17	measure	measure	VERB
cana-3099	109	18	our	our	PRON
cana-3099	109	19	evaluation	evaluation	NOUN
cana-3099	109	20	criteria	criterion	NOUN
cana-3099	109	21	.	.	PUNCT
cana-3099	110	1	we	we	PRON
cana-3099	110	2	have	have	AUX
cana-3099	110	3	given	give	VERB
cana-3099	110	4	all	all	DET
cana-3099	110	5	the	the	DET
cana-3099	110	6	f	f	NOUN
cana-3099	110	7	-	-	PUNCT
cana-3099	110	8	measures	measure	NOUN
cana-3099	110	9	of	of	ADP
cana-3099	110	10	our	our	PRON
cana-3099	110	11	algorithms	algorithm	NOUN
cana-3099	110	12	in	in	ADP
cana-3099	110	13	the	the	DET
cana-3099	110	14	following	follow	VERB
cana-3099	110	15	fig	fig	NOUN
cana-3099	110	16	8	8	NUM
cana-3099	110	17	.	.	PUNCT
cana-3099	111	1	the	the	DET
cana-3099	111	2	bold	bold	ADJ
cana-3099	111	3	values	value	NOUN
cana-3099	111	4	imply	imply	VERB
cana-3099	111	5	that	that	SCONJ
cana-3099	111	6	for	for	SCONJ
cana-3099	111	7	each	each	DET
cana-3099	111	8	attack	attack	NOUN
cana-3099	111	9	the	the	DET
cana-3099	111	10	height	height	NOUN
cana-3099	111	11	of	of	ADP
cana-3099	111	12	-	-	PUNCT
cana-3099	111	13	measure	measure	NOUN
cana-3099	111	14	is	be	AUX
cana-3099	111	15	achieved	achieve	VERB
cana-3099	111	16	and	and	CCONJ
cana-3099	111	17	the	the	DET
cana-3099	111	18	one	one	NOUN
cana-3099	111	19	which	which	PRON
cana-3099	111	20	underlined	underline	VERB
cana-3099	111	21	ones	one	NOUN
cana-3099	111	22	are	be	AUX
cana-3099	111	23	the	the	DET
cana-3099	111	24	smallest	small	ADJ
cana-3099	111	25	f	f	NOUN
cana-3099	111	26	-	-	PUNCT
cana-3099	111	27	measures	measure	NOUN
cana-3099	111	28	.	.	PUNCT
cana-3099	112	1	following	follow	VERB
cana-3099	112	2	fig	fig	NOUN
cana-3099	112	3	8	8	NUM
cana-3099	112	4	results	result	NOUN
cana-3099	112	5	of	of	ADP
cana-3099	112	6	models	model	NOUN
cana-3099	112	7	communications	communication	NOUN
cana-3099	112	8	on	on	ADP
cana-3099	112	9	applied	apply	VERB
cana-3099	112	10	nonlinear	nonlinear	ADJ
cana-3099	112	11	analysis	analysis	NOUN
cana-3099	112	12	issn	issn	NOUN
cana-3099	112	13	:	:	PUNCT
cana-3099	112	14	1074	1074	NUM
cana-3099	112	15	-	-	PUNCT
cana-3099	112	16	133x	133x	NUM
cana-3099	112	17	vol	vol	NOUN
cana-3099	112	18	32	32	NUM
cana-3099	112	19	no	no	NOUN
cana-3099	112	20	.	.	PUNCT
cana-3099	113	1	5s	5s	NUM
cana-3099	113	2	(	(	PUNCT
cana-3099	113	3	2025	2025	NUM
cana-3099	113	4	)	)	PUNCT
cana-3099	113	5	284	284	NUM
cana-3099	113	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3099	113	7	fig	fig	NOUN
cana-3099	113	8	8	8	NUM
cana-3099	113	9	.	.	PUNCT
cana-3099	114	1	results	result	NOUN
cana-3099	114	2	of	of	ADP
cana-3099	114	3	models	model	NOUN
cana-3099	114	4	on	on	ADP
cana-3099	114	5	different	different	ADJ
cana-3099	114	6	attacks	attack	NOUN
cana-3099	114	7	in	in	ADP
cana-3099	114	8	following	follow	VERB
cana-3099	114	9	figure	figure	NOUN
cana-3099	115	1	,	,	PUNCT
cana-3099	115	2	we	we	PRON
cana-3099	115	3	have	have	AUX
cana-3099	115	4	provided	provide	VERB
cana-3099	115	5	the	the	DET
cana-3099	115	6	comparison	comparison	NOUN
cana-3099	115	7	of	of	ADP
cana-3099	115	8	different	different	ADJ
cana-3099	115	9	matrices	matrix	NOUN
cana-3099	115	10	on	on	ADP
cana-3099	115	11	the	the	DET
cana-3099	115	12	different	different	ADJ
cana-3099	115	13	algorithms	algorithm	NOUN
cana-3099	115	14	,	,	PUNCT
cana-3099	115	15	in	in	ADP
cana-3099	115	16	all	all	PRON
cana-3099	115	17	of	of	ADP
cana-3099	115	18	the	the	DET
cana-3099	115	19	algorithms	algorithm	NOUN
cana-3099	115	20	we	we	PRON
cana-3099	115	21	have	have	AUX
cana-3099	115	22	found	find	VERB
cana-3099	115	23	that	that	SCONJ
cana-3099	115	24	the	the	DET
cana-3099	115	25	k	k	PROPN
cana-3099	115	26	nearest	near	ADJ
cana-3099	115	27	neighbour	neighbour	ADJ
cana-3099	115	28	algorithm	algorithm	NOUN
cana-3099	115	29	have	have	VERB
cana-3099	115	30	the	the	DET
cana-3099	115	31	highest	high	ADJ
cana-3099	115	32	fmeasure	fmeasure	NOUN
cana-3099	115	33	with	with	ADP
cana-3099	115	34	the	the	DET
cana-3099	115	35	0.97	0.97	NUM
cana-3099	115	36	which	which	PRON
cana-3099	115	37	is	be	AUX
cana-3099	115	38	written	write	VERB
cana-3099	115	39	in	in	ADP
cana-3099	115	40	bold	bold	ADJ
cana-3099	115	41	letter	letter	NOUN
cana-3099	115	42	which	which	PRON
cana-3099	115	43	conveys	convey	VERB
cana-3099	115	44	that	that	SCONJ
cana-3099	115	45	there	there	PRON
cana-3099	115	46	is	be	VERB
cana-3099	115	47	a	a	DET
cana-3099	115	48	complete	complete	ADJ
cana-3099	115	49	balance	balance	NOUN
cana-3099	115	50	between	between	ADP
cana-3099	115	51	recall	recall	NOUN
cana-3099	115	52	and	and	CCONJ
cana-3099	115	53	precision	precision	NOUN
cana-3099	115	54	.	.	PUNCT
cana-3099	116	1	which	which	PRON
cana-3099	116	2	also	also	ADV
cana-3099	116	3	conveys	convey	VERB
cana-3099	116	4	that	that	SCONJ
cana-3099	116	5	it	it	PRON
cana-3099	116	6	is	be	AUX
cana-3099	116	7	able	able	ADJ
cana-3099	116	8	to	to	PART
cana-3099	116	9	minimize	minimize	VERB
cana-3099	116	10	the	the	DET
cana-3099	116	11	false	false	ADJ
cana-3099	116	12	positives	positive	NOUN
cana-3099	116	13	and	and	CCONJ
cana-3099	116	14	able	able	ADJ
cana-3099	116	15	to	to	PART
cana-3099	116	16	detect	detect	VERB
cana-3099	116	17	true	true	ADJ
cana-3099	116	18	positives	positive	NOUN
cana-3099	116	19	,	,	PUNCT
cana-3099	116	20	so	so	SCONJ
cana-3099	116	21	it	it	PRON
cana-3099	116	22	is	be	AUX
cana-3099	116	23	the	the	DET
cana-3099	116	24	best	good	ADJ
cana-3099	116	25	model	model	NOUN
cana-3099	116	26	.	.	PUNCT
cana-3099	117	1	the	the	DET
cana-3099	117	2	ones	one	NOUN
cana-3099	117	3	which	which	PRON
cana-3099	117	4	are	be	AUX
cana-3099	117	5	written	write	VERB
cana-3099	117	6	in	in	ADP
cana-3099	117	7	red	red	PROPN
cana-3099	117	8	are	be	AUX
cana-3099	117	9	one	one	NUM
cana-3099	117	10	of	of	ADP
cana-3099	117	11	the	the	DET
cana-3099	117	12	lowest	low	ADJ
cana-3099	117	13	f	f	NOUN
cana-3099	117	14	-	-	PUNCT
cana-3099	117	15	measures	measure	NOUN
cana-3099	117	16	scores	score	NOUN
cana-3099	117	17	which	which	PRON
cana-3099	117	18	conveys	convey	VERB
cana-3099	117	19	that	that	SCONJ
cana-3099	117	20	they	they	PRON
cana-3099	117	21	are	be	AUX
cana-3099	117	22	not	not	PART
cana-3099	117	23	able	able	ADJ
cana-3099	117	24	to	to	PART
cana-3099	117	25	balance	balance	VERB
cana-3099	117	26	between	between	ADP
cana-3099	117	27	recall	recall	NOUN
cana-3099	117	28	and	and	CCONJ
cana-3099	117	29	precision	precision	NOUN
cana-3099	117	30	.	.	PUNCT
cana-3099	118	1	among	among	ADP
cana-3099	118	2	them	they	PRON
cana-3099	118	3	mlp	mlp	NOUN
cana-3099	118	4	has	have	VERB
cana-3099	118	5	the	the	DET
cana-3099	118	6	lowest	low	ADJ
cana-3099	118	7	scores	score	NOUN
cana-3099	118	8	and	and	CCONJ
cana-3099	118	9	random	random	ADJ
cana-3099	118	10	forest	forest	NOUN
cana-3099	118	11	,	,	PUNCT
cana-3099	118	12	id3	id3	PROPN
cana-3099	118	13	,	,	PUNCT
cana-3099	118	14	adaboost	adaboost	ADV
cana-3099	118	15	are	be	AUX
cana-3099	118	16	the	the	DET
cana-3099	118	17	one	one	NUM
cana-3099	118	18	of	of	ADP
cana-3099	118	19	the	the	DET
cana-3099	118	20	strongest	strong	ADJ
cana-3099	118	21	with	with	ADP
cana-3099	118	22	f	f	NOUN
cana-3099	118	23	-	-	PUNCT
cana-3099	118	24	measure	measure	NOUN
cana-3099	118	25	of	of	ADP
cana-3099	118	26	0.94-0.95.but	0.94-0.95.but	CCONJ
cana-3099	118	27	the	the	DET
cana-3099	118	28	k	k	PROPN
cana-3099	118	29	nearest	near	ADJ
cana-3099	118	30	neighbours	neighbour	NOUN
cana-3099	118	31	is	be	AUX
cana-3099	118	32	still	still	ADV
cana-3099	118	33	outperforming	outperform	VERB
cana-3099	118	34	them	they	PRON
cana-3099	118	35	and	and	CCONJ
cana-3099	118	36	all	all	DET
cana-3099	118	37	the	the	DET
cana-3099	118	38	data	datum	NOUN
cana-3099	118	39	we	we	PRON
cana-3099	118	40	have	have	AUX
cana-3099	118	41	provided	provide	VERB
cana-3099	118	42	in	in	ADP
cana-3099	118	43	the	the	DET
cana-3099	118	44	following	follow	VERB
cana-3099	118	45	fig	fig	NOUN
cana-3099	118	46	9	9	NUM
cana-3099	118	47	.	.	PUNCT
cana-3099	118	48	fig	fig	NOUN
cana-3099	118	49	9	9	NUM
cana-3099	118	50	:	:	PUNCT
cana-3099	118	51	classification	classification	NOUN
cana-3099	118	52	report	report	NOUN
cana-3099	118	53	for	for	ADP
cana-3099	118	54	algorithms	algorithm	NOUN
cana-3099	118	55	conclusion	conclusion	NOUN
cana-3099	118	56	:	:	PUNCT
cana-3099	118	57	the	the	DET
cana-3099	118	58	paper	paper	NOUN
cana-3099	118	59	successfully	successfully	ADV
cana-3099	118	60	identified	identify	VERB
cana-3099	118	61	a	a	DET
cana-3099	118	62	set	set	NOUN
cana-3099	118	63	of	of	ADP
cana-3099	118	64	optimal	optimal	ADJ
cana-3099	118	65	features	feature	NOUN
cana-3099	118	66	and	and	CCONJ
cana-3099	118	67	demonstrated	demonstrate	VERB
cana-3099	118	68	the	the	DET
cana-3099	118	69	potential	potential	NOUN
cana-3099	118	70	of	of	ADP
cana-3099	118	71	using	use	VERB
cana-3099	118	72	advanced	advanced	ADJ
cana-3099	118	73	machine	machine	NOUN
cana-3099	118	74	learning	learn	VERB
cana-3099	118	75	techniques	technique	NOUN
cana-3099	118	76	for	for	ADP
cana-3099	118	77	detecting	detect	VERB
cana-3099	118	78	compromised	compromise	VERB
cana-3099	118	79	devices	device	NOUN
cana-3099	118	80	on	on	ADP
cana-3099	118	81	iocs	ioc	NOUN
cana-3099	118	82	.	.	PUNCT
cana-3099	119	1	the	the	DET
cana-3099	119	2	mlp	mlp	PROPN
cana-3099	119	3	algorithm	algorithm	PROPN
cana-3099	119	4	,	,	PUNCT
cana-3099	119	5	in	in	ADP
cana-3099	119	6	particular	particular	ADJ
cana-3099	119	7	,	,	PUNCT
cana-3099	119	8	showed	show	VERB
cana-3099	119	9	the	the	DET
cana-3099	119	10	highest	high	ADJ
cana-3099	119	11	performance	performance	NOUN
cana-3099	119	12	,	,	PUNCT
cana-3099	119	13	indicating	indicate	VERB
cana-3099	119	14	the	the	DET
cana-3099	119	15	value	value	NOUN
cana-3099	119	16	of	of	ADP
cana-3099	119	17	neural	neural	ADJ
cana-3099	119	18	networks	network	NOUN
cana-3099	119	19	in	in	ADP
cana-3099	119	20	this	this	DET
cana-3099	119	21	context	context	NOUN
cana-3099	119	22	.	.	PUNCT
cana-3099	120	1	this	this	DET
cana-3099	120	2	study	study	NOUN
cana-3099	120	3	shows	show	VERB
cana-3099	120	4	that	that	SCONJ
cana-3099	120	5	detecting	detect	VERB
cana-3099	120	6	the	the	DET
cana-3099	120	7	attacks	attack	NOUN
cana-3099	120	8	is	be	AUX
cana-3099	120	9	very	very	ADV
cana-3099	120	10	efficient	efficient	ADJ
cana-3099	120	11	for	for	ADP
cana-3099	120	12	this	this	DET
cana-3099	120	13	model	model	NOUN
cana-3099	120	14	.	.	PUNCT
cana-3099	121	1	the	the	DET
cana-3099	121	2	ict	ict	PROPN
cana-3099	121	3	devices	device	NOUN
cana-3099	121	4	being	be	AUX
cana-3099	121	5	compromised	compromise	VERB
cana-3099	121	6	before	before	ADP
cana-3099	121	7	now	now	ADV
cana-3099	121	8	are	be	AUX
cana-3099	121	9	not	not	PART
cana-3099	121	10	because	because	SCONJ
cana-3099	121	11	of	of	ADP
cana-3099	121	12	the	the	DET
cana-3099	121	13	model	model	NOUN
cana-3099	121	14	for	for	ADP
cana-3099	121	15	detecting	detect	VERB
cana-3099	121	16	the	the	DET
cana-3099	121	17	attacks	attack	NOUN
cana-3099	121	18	.	.	PUNCT
cana-3099	122	1	finally	finally	ADV
cana-3099	122	2	,	,	PUNCT
cana-3099	122	3	the	the	DET
cana-3099	122	4	7	7	NUM
cana-3099	122	5	algorithms	algorithm	NOUN
cana-3099	122	6	used	use	VERB
cana-3099	122	7	in	in	ADP
cana-3099	122	8	this	this	DET
cana-3099	122	9	project	project	NOUN
cana-3099	122	10	,	,	PUNCT
cana-3099	122	11	the	the	DET
cana-3099	122	12	most	most	ADV
cana-3099	122	13	efficient	efficient	ADJ
cana-3099	122	14	and	and	CCONJ
cana-3099	122	15	robust	robust	ADJ
cana-3099	122	16	was	be	AUX
cana-3099	122	17	knn	knn	PROPN
cana-3099	122	18	algorithm	algorithm	NOUN
cana-3099	122	19	with	with	ADP
cana-3099	122	20	f	f	NOUN
cana-3099	122	21	-	-	PUNCT
cana-3099	122	22	measure	measure	NOUN
cana-3099	122	23	of	of	ADP
cana-3099	122	24	0.86	0.86	NUM
cana-3099	122	25	.	.	PUNCT
cana-3099	123	1	references	reference	NOUN
cana-3099	123	2	:	:	PUNCT
cana-3099	124	1	[	[	X
cana-3099	124	2	1	1	X
cana-3099	124	3	]	]	PUNCT
cana-3099	124	4	p.	p.	NOUN
cana-3099	124	5	kostus	kostus	NOUN
cana-3099	124	6	,	,	PUNCT
cana-3099	124	7	"	"	PUNCT
cana-3099	124	8	anomaly	anomaly	NOUN
cana-3099	124	9	detection	detection	NOUN
cana-3099	124	10	in	in	ADP
cana-3099	124	11	networks	network	NOUN
cana-3099	124	12	using	use	VERB
cana-3099	124	13	machine	machine	NOUN
cana-3099	124	14	learning	learning	NOUN
cana-3099	124	15	,	,	PUNCT
cana-3099	124	16	"	"	PUNCT
cana-3099	124	17	research	research	NOUN
cana-3099	124	18	proposal	proposal	NOUN
cana-3099	124	19	,	,	PUNCT
cana-3099	124	20	23	23	NUM
cana-3099	124	21	mar	mar	PROPN
cana-3099	124	22	2018	2018	NUM
cana-3099	124	23	[	[	X
cana-3099	124	24	2	2	NUM
cana-3099	124	25	]	]	PUNCT
cana-3099	124	26	“	"	PUNCT
cana-3099	124	27	internet	internet	NOUN
cana-3099	124	28	growth	growth	NOUN
cana-3099	124	29	statistics	statistic	NOUN
cana-3099	124	30	,	,	PUNCT
cana-3099	124	31	”	"	PUNCT
cana-3099	124	32	miniwatts	miniwatts	PROPN
cana-3099	124	33	marketing	marketing	NOUN
cana-3099	124	34	group	group	NOUN
cana-3099	124	35	,	,	PUNCT
cana-3099	124	36	2	2	NUM
cana-3099	124	37	mar	mar	PROPN
cana-3099	124	38	2018.[online].available	2018.[online].available	NUM
cana-3099	124	39	:	:	PUNCT
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cana-3099	130	2	5	5	NUM
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cana-3099	146	2	:	:	PUNCT
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