id	sid	tid	token	lemma	pos
cana-804	1	1	communications	communication	NOUN
cana-804	1	2	on	on	ADP
cana-804	1	3	applied	apply	VERB
cana-804	1	4	nonlinear	nonlinear	ADJ
cana-804	1	5	analysis	analysis	NOUN
cana-804	1	6	issn	issn	NOUN
cana-804	1	7	:	:	PUNCT
cana-804	1	8	1074	1074	NUM
cana-804	1	9	-	-	PUNCT
cana-804	1	10	133x	133x	NUM
cana-804	1	11	vol	vol	NOUN
cana-804	1	12	31	31	NUM
cana-804	1	13	no	no	NOUN
cana-804	1	14	.	.	PUNCT
cana-804	2	1	3s	3s	NUM
cana-804	2	2	(	(	PUNCT
cana-804	2	3	2024	2024	NUM
cana-804	2	4	)	)	PUNCT
cana-804	2	5	503	503	NUM
cana-804	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	2	7	mathematical	mathematical	ADJ
cana-804	2	8	frameworks	framework	NOUN
cana-804	2	9	for	for	ADP
cana-804	2	10	threat	threat	NOUN
cana-804	2	11	intelligence	intelligence	NOUN
cana-804	2	12	analysis	analysis	NOUN
cana-804	2	13	:	:	PUNCT
cana-804	2	14	leveraging	leverage	VERB
cana-804	2	15	graph	graph	NOUN
cana-804	2	16	theory	theory	NOUN
cana-804	2	17	and	and	CCONJ
cana-804	2	18	machine	machine	NOUN
cana-804	2	19	learning	learn	VERB
cana-804	2	20	for	for	ADP
cana-804	2	21	cyber	cyber	ADJ
cana-804	2	22	threat	threat	NOUN
cana-804	2	23	assessment	assessment	NOUN
cana-804	2	24	kanchan	kanchan	PROPN
cana-804	2	25	rahul	rahul	PROPN
cana-804	2	26	jamnik1	jamnik1	PROPN
cana-804	2	27	,	,	PUNCT
cana-804	2	28	nita	nita	PROPN
cana-804	2	29	swapnil	swapnil	PROPN
cana-804	2	30	dhake2	dhake2	PROPN
cana-804	2	31	,	,	PUNCT
cana-804	2	32	sonam	sonam	PROPN
cana-804	2	33	rani3	rani3	PROPN
cana-804	2	34	,	,	PUNCT
cana-804	2	35	rajiv	rajiv	PROPN
cana-804	2	36	ranjan	ranjan	PROPN
cana-804	2	37	mishra4	mishra4	PROPN
cana-804	2	38	,	,	PUNCT
cana-804	2	39	vidyanand	vidyanand	PROPN
cana-804	2	40	lahudas	lahudas	PROPN
cana-804	2	41	ukey5	ukey5	PROPN
cana-804	2	42	,	,	PUNCT
cana-804	2	43	jayesh	jayesh	PROPN
cana-804	2	44	pravin	pravin	PROPN
cana-804	2	45	patil6	patil6	PROPN
cana-804	2	46	assistant	assistant	NOUN
cana-804	2	47	professor	professor	NOUN
cana-804	2	48	,	,	PUNCT
cana-804	2	49	department	department	NOUN
cana-804	2	50	of	of	ADP
cana-804	2	51	computer	computer	NOUN
cana-804	2	52	engineering	engineering	NOUN
cana-804	2	53	,	,	PUNCT
cana-804	2	54	sandip	sandip	PROPN
cana-804	2	55	institute	institute	PROPN
cana-804	2	56	of	of	ADP
cana-804	2	57	engineering	engineering	PROPN
cana-804	2	58	&	&	CCONJ
cana-804	2	59	management	management	NOUN
cana-804	2	60	,	,	PUNCT
cana-804	2	61	nashik	nashik	PROPN
cana-804	2	62	,	,	PUNCT
cana-804	2	63	maharashtra	maharashtra	PROPN
cana-804	2	64	,	,	PUNCT
cana-804	2	65	india	india	PROPN
cana-804	2	66	.	.	PUNCT
cana-804	3	1	kanchan.jamnik@siem.org.in	kanchan.jamnik@siem.org.in	PROPN
cana-804	3	2	assistant	assistant	PROPN
cana-804	3	3	professor	professor	NOUN
cana-804	3	4	,	,	PUNCT
cana-804	3	5	department	department	NOUN
cana-804	3	6	of	of	ADP
cana-804	3	7	artificial	artificial	ADJ
cana-804	3	8	intelligence	intelligence	NOUN
cana-804	3	9	and	and	CCONJ
cana-804	3	10	data	datum	NOUN
cana-804	3	11	science	science	NOUN
cana-804	3	12	,	,	PUNCT
cana-804	3	13	sandip	sandip	PROPN
cana-804	3	14	institute	institute	PROPN
cana-804	3	15	of	of	ADP
cana-804	3	16	technology	technology	PROPN
cana-804	3	17	&	&	CCONJ
cana-804	3	18	research	research	PROPN
cana-804	3	19	centre	centre	NOUN
cana-804	3	20	,	,	PUNCT
cana-804	3	21	nashik	nashik	PROPN
cana-804	3	22	maharashtra	maharashtra	PROPN
cana-804	3	23	,	,	PUNCT
cana-804	3	24	india	india	PROPN
cana-804	3	25	.	.	PUNCT
cana-804	4	1	nita.dhake@sitrc.org	nita.dhake@sitrc.org	PROPN
cana-804	4	2	assistant	assistant	ADJ
cana-804	4	3	professor	professor	NOUN
cana-804	4	4	,	,	PUNCT
cana-804	4	5	department	department	NOUN
cana-804	4	6	of	of	ADP
cana-804	4	7	computer	computer	NOUN
cana-804	4	8	engineering	engineering	NOUN
cana-804	4	9	,	,	PUNCT
cana-804	4	10	sandip	sandip	PROPN
cana-804	4	11	university	university	NOUN
cana-804	4	12	,	,	PUNCT
cana-804	4	13	sijoul	sijoul	PROPN
cana-804	4	14	,	,	PUNCT
cana-804	4	15	bihar	bihar	NOUN
cana-804	4	16	,	,	PUNCT
cana-804	4	17	india	india	PROPN
cana-804	4	18	.	.	PUNCT
cana-804	5	1	sonam.rani@sandipuniversity.edu.in	sonam.rani@sandipuniversity.edu.in	PROPN
cana-804	5	2	assistant	assistant	PROPN
cana-804	5	3	professor	professor	NOUN
cana-804	5	4	,	,	PUNCT
cana-804	5	5	department	department	NOUN
cana-804	5	6	of	of	ADP
cana-804	5	7	computer	computer	NOUN
cana-804	5	8	engineering	engineering	NOUN
cana-804	5	9	,	,	PUNCT
cana-804	5	10	sandip	sandip	PROPN
cana-804	5	11	university	university	NOUN
cana-804	5	12	,	,	PUNCT
cana-804	5	13	sijoul	sijoul	PROPN
cana-804	5	14	,	,	PUNCT
cana-804	5	15	bihar	bihar	NOUN
cana-804	5	16	,	,	PUNCT
cana-804	5	17	india	india	PROPN
cana-804	5	18	.	.	PUNCT
cana-804	6	1	rajiv.mishra@sandipuniversity.edu.in	rajiv.mishra@sandipuniversity.edu.in	PROPN
cana-804	6	2	assistant	assistant	PROPN
cana-804	6	3	professor	professor	NOUN
cana-804	6	4	,	,	PUNCT
cana-804	6	5	department	department	NOUN
cana-804	6	6	of	of	ADP
cana-804	6	7	artificial	artificial	ADJ
cana-804	6	8	intelligence	intelligence	NOUN
cana-804	6	9	and	and	CCONJ
cana-804	6	10	data	datum	NOUN
cana-804	6	11	science	science	NOUN
cana-804	6	12	,	,	PUNCT
cana-804	6	13	sandip	sandip	PROPN
cana-804	6	14	institute	institute	PROPN
cana-804	6	15	of	of	ADP
cana-804	6	16	technology	technology	PROPN
cana-804	6	17	&	&	CCONJ
cana-804	6	18	research	research	PROPN
cana-804	6	19	centre	centre	NOUN
cana-804	6	20	,	,	PUNCT
cana-804	6	21	nashik	nashik	PROPN
cana-804	6	22	maharashtra	maharashtra	PROPN
cana-804	6	23	,	,	PUNCT
cana-804	6	24	india	india	PROPN
cana-804	6	25	.	.	PUNCT
cana-804	7	1	vidyanand.ukey@sitrc.org	vidyanand.ukey@sitrc.org	PROPN
cana-804	7	2	assistant	assistant	NOUN
cana-804	7	3	professor	professor	NOUN
cana-804	7	4	,	,	PUNCT
cana-804	7	5	sandip	sandip	PROPN
cana-804	7	6	university	university	PROPN
cana-804	7	7	nashik	nashik	PROPN
cana-804	7	8	,	,	PUNCT
cana-804	7	9	maharashtra	maharashtra	PROPN
cana-804	7	10	,	,	PUNCT
cana-804	7	11	india	india	PROPN
cana-804	7	12	.	.	PUNCT
cana-804	8	1	jayesh.patil@sandipuniversity.edu.in	jayesh.patil@sandipuniversity.edu.in	PROPN
cana-804	8	2	article	article	PROPN
cana-804	8	3	history	history	NOUN
cana-804	8	4	:	:	PUNCT
cana-804	8	5	received	receive	VERB
cana-804	8	6	:	:	PUNCT
cana-804	8	7	18	18	NUM
cana-804	8	8	-	-	PUNCT
cana-804	8	9	04	04	NUM
cana-804	8	10	-	-	PUNCT
cana-804	8	11	2024	2024	NUM
cana-804	8	12	revised	revise	VERB
cana-804	8	13	:	:	PUNCT
cana-804	8	14	01	01	NUM
cana-804	8	15	-	-	PUNCT
cana-804	8	16	06	06	NUM
cana-804	8	17	-	-	PUNCT
cana-804	8	18	2024	2024	NUM
cana-804	8	19	accepted	accept	VERB
cana-804	8	20	:	:	PUNCT
cana-804	8	21	15	15	NUM
cana-804	8	22	-	-	SYM
cana-804	8	23	06	06	NUM
cana-804	8	24	-	-	PUNCT
cana-804	8	25	2024	2024	NUM
cana-804	8	26	abstract	abstract	NOUN
cana-804	8	27	:	:	PUNCT
cana-804	8	28	because	because	SCONJ
cana-804	8	29	there	there	PRON
cana-804	8	30	are	be	VERB
cana-804	8	31	so	so	ADV
cana-804	8	32	many	many	ADJ
cana-804	8	33	complex	complex	ADJ
cana-804	8	34	online	online	ADJ
cana-804	8	35	risks	risk	NOUN
cana-804	8	36	,	,	PUNCT
cana-804	8	37	we	we	PRON
cana-804	8	38	need	need	VERB
cana-804	8	39	new	new	ADJ
cana-804	8	40	ways	way	NOUN
cana-804	8	41	to	to	PART
cana-804	8	42	look	look	VERB
cana-804	8	43	at	at	ADP
cana-804	8	44	threat	threat	NOUN
cana-804	8	45	data	datum	NOUN
cana-804	8	46	.	.	PUNCT
cana-804	9	1	this	this	DET
cana-804	9	2	study	study	NOUN
cana-804	9	3	suggests	suggest	VERB
cana-804	9	4	a	a	DET
cana-804	9	5	complete	complete	ADJ
cana-804	9	6	approach	approach	NOUN
cana-804	9	7	that	that	PRON
cana-804	9	8	combines	combine	VERB
cana-804	9	9	graph	graph	NOUN
cana-804	9	10	theory	theory	NOUN
cana-804	9	11	and	and	CCONJ
cana-804	9	12	machine	machine	NOUN
cana-804	9	13	learning	learning	NOUN
cana-804	9	14	methods	method	NOUN
cana-804	9	15	to	to	PART
cana-804	9	16	make	make	VERB
cana-804	9	17	figuring	figure	VERB
cana-804	9	18	out	out	ADP
cana-804	9	19	cyber	cyber	NOUN
cana-804	9	20	threats	threat	NOUN
cana-804	9	21	better	well	ADV
cana-804	9	22	.	.	PUNCT
cana-804	10	1	the	the	DET
cana-804	10	2	basic	basic	ADJ
cana-804	10	3	idea	idea	NOUN
cana-804	10	4	behind	behind	ADP
cana-804	10	5	networks	network	NOUN
cana-804	10	6	is	be	AUX
cana-804	10	7	graph	graph	NOUN
cana-804	10	8	theory	theory	NOUN
cana-804	10	9	,	,	PUNCT
cana-804	10	10	which	which	PRON
cana-804	10	11	lets	let	VERB
cana-804	10	12	us	we	PRON
cana-804	10	13	show	show	VERB
cana-804	10	14	the	the	DET
cana-804	10	15	complicated	complicated	ADJ
cana-804	10	16	connections	connection	NOUN
cana-804	10	17	between	between	ADP
cana-804	10	18	different	different	ADJ
cana-804	10	19	things	thing	NOUN
cana-804	10	20	in	in	ADP
cana-804	10	21	a	a	DET
cana-804	10	22	connected	connected	ADJ
cana-804	10	23	world	world	NOUN
cana-804	10	24	.	.	PUNCT
cana-804	11	1	this	this	DET
cana-804	11	2	approach	approach	NOUN
cana-804	11	3	gives	give	VERB
cana-804	11	4	a	a	DET
cana-804	11	5	full	full	ADJ
cana-804	11	6	picture	picture	NOUN
cana-804	11	7	of	of	ADP
cana-804	11	8	the	the	DET
cana-804	11	9	danger	danger	NOUN
cana-804	11	10	scene	scene	NOUN
cana-804	11	11	by	by	ADP
cana-804	11	12	representing	represent	VERB
cana-804	11	13	cyber	cyber	NOUN
cana-804	11	14	entities	entity	NOUN
cana-804	11	15	and	and	CCONJ
cana-804	11	16	how	how	SCONJ
cana-804	11	17	they	they	PRON
cana-804	11	18	interact	interact	VERB
cana-804	11	19	as	as	ADP
cana-804	11	20	nodes	node	NOUN
cana-804	11	21	and	and	CCONJ
cana-804	11	22	lines	line	NOUN
cana-804	11	23	in	in	ADP
cana-804	11	24	a	a	DET
cana-804	11	25	graph	graph	NOUN
cana-804	11	26	.	.	PUNCT
cana-804	12	1	this	this	PRON
cana-804	12	2	makes	make	VERB
cana-804	12	3	it	it	PRON
cana-804	12	4	easier	easy	ADJ
cana-804	12	5	to	to	PART
cana-804	12	6	spot	spot	VERB
cana-804	12	7	trends	trend	NOUN
cana-804	12	8	and	and	CCONJ
cana-804	12	9	outliers	outlier	NOUN
cana-804	12	10	.	.	PUNCT
cana-804	13	1	the	the	DET
cana-804	13	2	system	system	NOUN
cana-804	13	3	includes	include	VERB
cana-804	13	4	machine	machine	NOUN
cana-804	13	5	learning	learn	VERB
cana-804	13	6	techniques	technique	NOUN
cana-804	13	7	that	that	PRON
cana-804	13	8	make	make	VERB
cana-804	13	9	use	use	NOUN
cana-804	13	10	of	of	ADP
cana-804	13	11	the	the	DET
cana-804	13	12	huge	huge	ADJ
cana-804	13	13	amount	amount	NOUN
cana-804	13	14	of	of	ADP
cana-804	13	15	data	datum	NOUN
cana-804	13	16	that	that	PRON
cana-804	13	17	is	be	AUX
cana-804	13	18	available	available	ADJ
cana-804	13	19	for	for	ADP
cana-804	13	20	analyzing	analyze	VERB
cana-804	13	21	cyber	cyber	NOUN
cana-804	13	22	threats	threat	NOUN
cana-804	13	23	.	.	PUNCT
cana-804	14	1	supervised	supervised	ADJ
cana-804	14	2	learning	learning	NOUN
cana-804	14	3	methods	method	NOUN
cana-804	14	4	are	be	AUX
cana-804	14	5	used	use	VERB
cana-804	14	6	for	for	ADP
cana-804	14	7	classification	classification	NOUN
cana-804	14	8	tasks	task	NOUN
cana-804	14	9	.	.	PUNCT
cana-804	15	1	these	these	PRON
cana-804	15	2	let	let	VERB
cana-804	15	3	threats	threat	NOUN
cana-804	15	4	be	be	AUX
cana-804	15	5	put	put	VERB
cana-804	15	6	into	into	ADP
cana-804	15	7	groups	group	NOUN
cana-804	15	8	based	base	VERB
cana-804	15	9	on	on	ADP
cana-804	15	10	past	past	ADJ
cana-804	15	11	data	datum	NOUN
cana-804	15	12	and	and	CCONJ
cana-804	15	13	known	know	VERB
cana-804	15	14	patterns	pattern	NOUN
cana-804	15	15	of	of	ADP
cana-804	15	16	bad	bad	ADJ
cana-804	15	17	behavior	behavior	NOUN
cana-804	15	18	.	.	PUNCT
cana-804	16	1	unsupervised	unsupervised	ADJ
cana-804	16	2	learning	learning	NOUN
cana-804	16	3	methods	method	NOUN
cana-804	16	4	,	,	PUNCT
cana-804	16	5	on	on	ADP
cana-804	16	6	the	the	DET
cana-804	16	7	other	other	ADJ
cana-804	16	8	hand	hand	NOUN
cana-804	16	9	,	,	PUNCT
cana-804	16	10	make	make	VERB
cana-804	16	11	finding	finding	NOUN
cana-804	16	12	anomalies	anomaly	NOUN
cana-804	16	13	easier	easy	ADJ
cana-804	16	14	by	by	ADP
cana-804	16	15	noticing	notice	VERB
cana-804	16	16	changes	change	NOUN
cana-804	16	17	in	in	ADP
cana-804	16	18	how	how	SCONJ
cana-804	16	19	networks	network	NOUN
cana-804	16	20	normally	normally	ADV
cana-804	16	21	behave	behave	VERB
cana-804	16	22	.	.	PUNCT
cana-804	17	1	these	these	DET
cana-804	17	2	machine	machine	NOUN
cana-804	17	3	learning	learning	NOUN
cana-804	17	4	models	model	NOUN
cana-804	17	5	learn	learn	VERB
cana-804	17	6	to	to	PART
cana-804	17	7	adapt	adapt	VERB
cana-804	17	8	to	to	ADP
cana-804	17	9	changing	change	VERB
cana-804	17	10	threats	threat	NOUN
cana-804	17	11	by	by	ADP
cana-804	17	12	being	be	AUX
cana-804	17	13	trained	train	VERB
cana-804	17	14	and	and	CCONJ
cana-804	17	15	improved	improve	VERB
cana-804	17	16	over	over	ADP
cana-804	17	17	and	and	CCONJ
cana-804	17	18	over	over	ADV
cana-804	17	19	again	again	ADV
cana-804	17	20	.	.	PUNCT
cana-804	18	1	this	this	PRON
cana-804	18	2	makes	make	VERB
cana-804	18	3	methods	method	NOUN
cana-804	18	4	for	for	ADP
cana-804	18	5	finding	find	VERB
cana-804	18	6	threats	threat	NOUN
cana-804	18	7	and	and	CCONJ
cana-804	18	8	stopping	stop	VERB
cana-804	18	9	them	they	PRON
cana-804	18	10	more	more	ADV
cana-804	18	11	effective	effective	ADJ
cana-804	18	12	.	.	PUNCT
cana-804	19	1	combining	combine	VERB
cana-804	19	2	graph	graph	NOUN
cana-804	19	3	theory	theory	NOUN
cana-804	19	4	and	and	CCONJ
cana-804	19	5	machine	machine	NOUN
cana-804	19	6	learning	learning	NOUN
cana-804	19	7	makes	make	VERB
cana-804	19	8	it	it	PRON
cana-804	19	9	possible	possible	ADJ
cana-804	19	10	to	to	PART
cana-804	19	11	get	get	VERB
cana-804	19	12	useful	useful	ADJ
cana-804	19	13	information	information	NOUN
cana-804	19	14	from	from	ADP
cana-804	19	15	a	a	DET
cana-804	19	16	huge	huge	ADJ
cana-804	19	17	number	number	NOUN
cana-804	19	18	of	of	ADP
cana-804	19	19	different	different	ADJ
cana-804	19	20	data	datum	NOUN
cana-804	19	21	sources	source	NOUN
cana-804	19	22	.	.	PUNCT
cana-804	20	1	graph	graph	NOUN
cana-804	20	2	-	-	PUNCT
cana-804	20	3	based	base	VERB
cana-804	20	4	analytics	analytic	NOUN
cana-804	20	5	bring	bring	VERB
cana-804	20	6	together	together	ADV
cana-804	20	7	different	different	ADJ
cana-804	20	8	kinds	kind	NOUN
cana-804	20	9	of	of	ADP
cana-804	20	10	data	datum	NOUN
cana-804	20	11	,	,	PUNCT
cana-804	20	12	like	like	ADP
cana-804	20	13	network	network	NOUN
cana-804	20	14	traffic	traffic	NOUN
cana-804	20	15	,	,	PUNCT
cana-804	20	16	system	system	NOUN
cana-804	20	17	logs	log	NOUN
cana-804	20	18	,	,	PUNCT
cana-804	20	19	and	and	CCONJ
cana-804	20	20	threat	threat	NOUN
cana-804	20	21	intelligence	intelligence	NOUN
cana-804	20	22	feeds	feed	NOUN
cana-804	20	23	,	,	PUNCT
cana-804	20	24	into	into	ADP
cana-804	20	25	a	a	DET
cana-804	20	26	single	single	ADJ
cana-804	20	27	view	view	NOUN
cana-804	20	28	.	.	PUNCT
cana-804	21	1	this	this	PRON
cana-804	21	2	helps	help	VERB
cana-804	21	3	you	you	PRON
cana-804	21	4	see	see	VERB
cana-804	21	5	the	the	DET
cana-804	21	6	connections	connection	NOUN
cana-804	21	7	between	between	ADP
cana-804	21	8	things	thing	NOUN
cana-804	21	9	that	that	PRON
cana-804	21	10	do	do	AUX
cana-804	21	11	n't	not	PART
cana-804	21	12	seem	seem	VERB
cana-804	21	13	to	to	PART
cana-804	21	14	be	be	AUX
cana-804	21	15	related	relate	VERB
cana-804	21	16	.	.	PUNCT
cana-804	22	1	machine	machine	NOUN
cana-804	22	2	learning	learn	VERB
cana-804	22	3	algorithms	algorithm	NOUN
cana-804	22	4	improve	improve	VERB
cana-804	22	5	this	this	DET
cana-804	22	6	analysis	analysis	NOUN
cana-804	22	7	by	by	ADP
cana-804	22	8	finding	find	VERB
cana-804	22	9	small	small	ADJ
cana-804	22	10	patterns	pattern	NOUN
cana-804	22	11	and	and	CCONJ
cana-804	22	12	trends	trend	NOUN
cana-804	22	13	that	that	PRON
cana-804	22	14	point	point	VERB
cana-804	22	15	to	to	ADP
cana-804	22	16	bad	bad	ADJ
cana-804	22	17	behavior	behavior	NOUN
cana-804	22	18	.	.	PUNCT
cana-804	23	1	this	this	PRON
cana-804	23	2	gives	give	VERB
cana-804	23	3	cybersecurity	cybersecurity	NOUN
cana-804	23	4	professionals	professional	NOUN
cana-804	23	5	the	the	DET
cana-804	23	6	power	power	NOUN
cana-804	23	7	to	to	PART
cana-804	23	8	stop	stop	VERB
cana-804	23	9	new	new	ADJ
cana-804	23	10	threats	threat	NOUN
cana-804	23	11	before	before	SCONJ
cana-804	23	12	they	they	PRON
cana-804	23	13	happen	happen	VERB
cana-804	23	14	.	.	PUNCT
cana-804	24	1	scalability	scalability	NOUN
cana-804	24	2	and	and	CCONJ
cana-804	24	3	freedom	freedom	NOUN
cana-804	24	4	are	be	AUX
cana-804	24	5	built	build	VERB
cana-804	24	6	into	into	ADP
cana-804	24	7	the	the	DET
cana-804	24	8	suggested	suggest	VERB
cana-804	24	9	system	system	NOUN
cana-804	24	10	so	so	SCONJ
cana-804	24	11	it	it	PRON
cana-804	24	12	can	can	AUX
cana-804	24	13	adapt	adapt	VERB
cana-804	24	14	to	to	ADP
cana-804	24	15	changing	change	VERB
cana-804	24	16	cyber	cyber	NOUN
cana-804	24	17	dangers	danger	NOUN
cana-804	24	18	and	and	CCONJ
cana-804	24	19	network	network	NOUN
cana-804	24	20	platforms	platform	NOUN
cana-804	24	21	.	.	PUNCT
cana-804	25	1	it	it	PRON
cana-804	25	2	can	can	AUX
cana-804	25	3	handle	handle	VERB
cana-804	25	4	big	big	ADJ
cana-804	25	5	datasets	dataset	NOUN
cana-804	25	6	and	and	CCONJ
cana-804	25	7	real	real	ADJ
cana-804	25	8	-	-	PUNCT
cana-804	25	9	time	time	NOUN
cana-804	25	10	streaming	streaming	NOUN
cana-804	25	11	data	datum	NOUN
cana-804	25	12	well	well	ADV
cana-804	25	13	by	by	ADP
cana-804	25	14	using	use	VERB
cana-804	25	15	distributed	distribute	VERB
cana-804	25	16	computer	computer	NOUN
cana-804	25	17	structures	structure	NOUN
cana-804	25	18	and	and	CCONJ
cana-804	25	19	flexible	flexible	ADJ
cana-804	25	20	machine	machine	NOUN
cana-804	25	21	learning	learning	NOUN
cana-804	25	22	methods	method	NOUN
cana-804	25	23	.	.	PUNCT
cana-804	26	1	this	this	PRON
cana-804	26	2	makes	make	VERB
cana-804	26	3	sure	sure	ADJ
cana-804	26	4	that	that	SCONJ
cana-804	26	5	threats	threat	NOUN
cana-804	26	6	are	be	AUX
cana-804	26	7	found	find	VERB
cana-804	26	8	and	and	CCONJ
cana-804	26	9	dealt	deal	VERB
cana-804	26	10	with	with	ADP
cana-804	26	11	quickly	quickly	ADV
cana-804	26	12	.	.	PUNCT
cana-804	27	1	putting	put	VERB
cana-804	27	2	graph	graph	NOUN
cana-804	27	3	theory	theory	NOUN
cana-804	27	4	and	and	CCONJ
cana-804	27	5	machine	machine	NOUN
cana-804	27	6	learning	learn	VERB
cana-804	27	7	together	together	ADV
cana-804	27	8	is	be	AUX
cana-804	27	9	a	a	DET
cana-804	27	10	good	good	ADJ
cana-804	27	11	communications	communication	NOUN
cana-804	27	12	on	on	ADP
cana-804	27	13	applied	apply	VERB
cana-804	27	14	nonlinear	nonlinear	ADJ
cana-804	27	15	analysis	analysis	NOUN
cana-804	27	16	issn	issn	NOUN
cana-804	27	17	:	:	PUNCT
cana-804	27	18	1074	1074	NUM
cana-804	27	19	-	-	PUNCT
cana-804	27	20	133x	133x	NUM
cana-804	27	21	vol	vol	NOUN
cana-804	27	22	31	31	NUM
cana-804	27	23	no	no	NOUN
cana-804	27	24	.	.	PUNCT
cana-804	28	1	3s	3s	NUM
cana-804	28	2	(	(	PUNCT
cana-804	28	3	2024	2024	NUM
cana-804	28	4	)	)	PUNCT
cana-804	28	5	504	504	NUM
cana-804	28	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	28	7	way	way	NOUN
cana-804	28	8	to	to	PART
cana-804	28	9	make	make	VERB
cana-804	28	10	threat	threat	NOUN
cana-804	28	11	intelligence	intelligence	NOUN
cana-804	28	12	research	research	NOUN
cana-804	28	13	better	well	ADV
cana-804	28	14	in	in	ADP
cana-804	28	15	defense	defense	NOUN
cana-804	28	16	.	.	PUNCT
cana-804	29	1	keywords	keyword	NOUN
cana-804	29	2	:	:	PUNCT
cana-804	29	3	cybersecurity	cybersecurity	NOUN
cana-804	29	4	,	,	PUNCT
cana-804	29	5	threat	threat	NOUN
cana-804	29	6	intelligence	intelligence	NOUN
cana-804	29	7	,	,	PUNCT
cana-804	29	8	graph	graph	NOUN
cana-804	29	9	theory	theory	NOUN
cana-804	29	10	,	,	PUNCT
cana-804	29	11	machine	machine	NOUN
cana-804	29	12	learning	learning	NOUN
cana-804	29	13	,	,	PUNCT
cana-804	29	14	yber	yber	PROPN
cana-804	29	15	threat	threat	NOUN
cana-804	29	16	assessment	assessment	NOUN
cana-804	29	17	,	,	PUNCT
cana-804	29	18	network	network	NOUN
cana-804	29	19	analysis	analysis	NOUN
cana-804	29	20	,	,	PUNCT
cana-804	29	21	anomaly	anomaly	NOUN
cana-804	29	22	detection	detection	NOUN
cana-804	29	23	,	,	PUNCT
cana-804	29	24	supervised	supervised	ADJ
cana-804	29	25	learning	learning	NOUN
cana-804	29	26	,	,	PUNCT
cana-804	29	27	unsupervised	unsupervised	ADJ
cana-804	29	28	learning	learning	NOUN
cana-804	29	29	,	,	PUNCT
cana-804	29	30	threat	threat	NOUN
cana-804	29	31	detection	detection	NOUN
cana-804	29	32	.	.	PUNCT
cana-804	30	1	1.introduction	1.introduction	NUM
cana-804	30	2	in	in	ADP
cana-804	30	3	today	today	NOUN
cana-804	30	4	's	's	PART
cana-804	30	5	digitally	digitally	ADV
cana-804	30	6	linked	link	VERB
cana-804	30	7	world	world	NOUN
cana-804	30	8	,	,	PUNCT
cana-804	30	9	hackers	hacker	NOUN
cana-804	30	10	are	be	AUX
cana-804	30	11	a	a	DET
cana-804	30	12	constant	constant	ADJ
cana-804	30	13	danger	danger	NOUN
cana-804	30	14	that	that	SCONJ
cana-804	30	15	companies	company	NOUN
cana-804	30	16	in	in	ADP
cana-804	30	17	all	all	DET
cana-804	30	18	fields	field	NOUN
cana-804	30	19	must	must	AUX
cana-804	30	20	deal	deal	VERB
cana-804	30	21	with	with	ADP
cana-804	30	22	.	.	PUNCT
cana-804	31	1	because	because	SCONJ
cana-804	31	2	attackers	attacker	NOUN
cana-804	31	3	are	be	AUX
cana-804	31	4	getting	get	VERB
cana-804	31	5	smarter	smart	ADJ
cana-804	31	6	and	and	CCONJ
cana-804	31	7	more	more	ADV
cana-804	31	8	stubborn	stubborn	ADJ
cana-804	31	9	,	,	PUNCT
cana-804	31	10	standard	standard	ADJ
cana-804	31	11	cybersecurity	cybersecurity	NOUN
cana-804	31	12	methods	method	NOUN
cana-804	31	13	do	do	AUX
cana-804	31	14	n't	not	PART
cana-804	31	15	always	always	ADV
cana-804	31	16	work	work	VERB
cana-804	31	17	to	to	PART
cana-804	31	18	stop	stop	VERB
cana-804	31	19	constantly	constantly	ADV
cana-804	31	20	changing	change	VERB
cana-804	31	21	threats	threat	NOUN
cana-804	31	22	.	.	PUNCT
cana-804	32	1	because	because	SCONJ
cana-804	32	2	of	of	ADP
cana-804	32	3	this	this	PRON
cana-804	32	4	,	,	PUNCT
cana-804	32	5	we	we	PRON
cana-804	32	6	need	need	VERB
cana-804	32	7	new	new	ADJ
cana-804	32	8	methods	method	NOUN
cana-804	32	9	that	that	PRON
cana-804	32	10	can	can	AUX
cana-804	32	11	provide	provide	VERB
cana-804	32	12	effective	effective	ADJ
cana-804	32	13	and	and	CCONJ
cana-804	32	14	thorough	thorough	ADJ
cana-804	32	15	threat	threat	NOUN
cana-804	32	16	intelligence	intelligence	NOUN
cana-804	32	17	research	research	NOUN
cana-804	32	18	right	right	ADV
cana-804	32	19	away	away	ADV
cana-804	32	20	to	to	PART
cana-804	32	21	protect	protect	VERB
cana-804	32	22	ourselves	ourselves	PRON
cana-804	32	23	from	from	ADP
cana-804	32	24	online	online	ADJ
cana-804	32	25	dangers	danger	NOUN
cana-804	33	1	[	[	X
cana-804	33	2	1	1	NUM
cana-804	33	3	]	]	PUNCT
cana-804	33	4	.	.	PUNCT
cana-804	34	1	in	in	ADP
cana-804	34	2	answer	answer	NOUN
cana-804	34	3	to	to	ADP
cana-804	34	4	this	this	DET
cana-804	34	5	need	need	NOUN
cana-804	34	6	,	,	PUNCT
cana-804	34	7	this	this	DET
cana-804	34	8	study	study	NOUN
cana-804	34	9	suggests	suggest	VERB
cana-804	34	10	a	a	DET
cana-804	34	11	new	new	ADJ
cana-804	34	12	approach	approach	NOUN
cana-804	34	13	that	that	PRON
cana-804	34	14	uses	use	VERB
cana-804	34	15	graph	graph	NOUN
cana-804	34	16	theory	theory	NOUN
cana-804	34	17	and	and	CCONJ
cana-804	34	18	machine	machine	NOUN
cana-804	34	19	learning	learn	VERB
cana-804	34	20	together	together	ADV
cana-804	34	21	to	to	PART
cana-804	34	22	improve	improve	VERB
cana-804	34	23	the	the	DET
cana-804	34	24	assessment	assessment	NOUN
cana-804	34	25	of	of	ADP
cana-804	34	26	cyber	cyber	ADJ
cana-804	34	27	threats	threat	NOUN
cana-804	34	28	.	.	PUNCT
cana-804	35	1	graph	graph	NOUN
cana-804	35	2	theory	theory	NOUN
cana-804	35	3	is	be	AUX
cana-804	35	4	a	a	DET
cana-804	35	5	strong	strong	ADJ
cana-804	35	6	mathematical	mathematical	ADJ
cana-804	35	7	tool	tool	NOUN
cana-804	35	8	for	for	ADP
cana-804	35	9	describing	describe	VERB
cana-804	35	10	relationships	relationship	NOUN
cana-804	35	11	and	and	CCONJ
cana-804	35	12	connections	connection	NOUN
cana-804	35	13	between	between	ADP
cana-804	35	14	things	thing	NOUN
cana-804	35	15	.	.	PUNCT
cana-804	36	1	it	it	PRON
cana-804	36	2	has	have	AUX
cana-804	36	3	changed	change	VERB
cana-804	36	4	the	the	DET
cana-804	36	5	way	way	NOUN
cana-804	36	6	we	we	PRON
cana-804	36	7	look	look	VERB
cana-804	36	8	at	at	ADP
cana-804	36	9	complex	complex	ADJ
cana-804	36	10	systems	system	NOUN
cana-804	36	11	.	.	PUNCT
cana-804	37	1	in	in	ADP
cana-804	37	2	cybersecurity	cybersecurity	NOUN
cana-804	37	3	,	,	PUNCT
cana-804	37	4	networks	network	NOUN
cana-804	37	5	of	of	ADP
cana-804	37	6	linked	link	VERB
cana-804	37	7	things	thing	NOUN
cana-804	37	8	like	like	ADP
cana-804	37	9	devices	device	NOUN
cana-804	37	10	,	,	PUNCT
cana-804	37	11	people	people	NOUN
cana-804	37	12	,	,	PUNCT
cana-804	37	13	apps	app	NOUN
cana-804	37	14	,	,	PUNCT
cana-804	37	15	and	and	CCONJ
cana-804	37	16	how	how	SCONJ
cana-804	37	17	they	they	PRON
cana-804	37	18	interact	interact	VERB
cana-804	37	19	with	with	ADP
cana-804	37	20	each	each	DET
cana-804	37	21	other	other	ADJ
cana-804	37	22	can	can	AUX
cana-804	37	23	be	be	AUX
cana-804	37	24	shown	show	VERB
cana-804	37	25	as	as	ADP
cana-804	37	26	graphs	graph	NOUN
cana-804	37	27	.	.	PUNCT
cana-804	38	1	in	in	ADP
cana-804	38	2	a	a	DET
cana-804	38	3	graph	graph	NOUN
cana-804	38	4	,	,	PUNCT
cana-804	38	5	nodes	node	NOUN
cana-804	38	6	are	be	AUX
cana-804	38	7	entities	entity	NOUN
cana-804	38	8	and	and	CCONJ
cana-804	38	9	lines	line	NOUN
cana-804	38	10	are	be	AUX
cana-804	38	11	connections	connection	NOUN
cana-804	38	12	or	or	CCONJ
cana-804	38	13	exchanges	exchange	NOUN
cana-804	38	14	between	between	ADP
cana-804	38	15	them	they	PRON
cana-804	38	16	.	.	PUNCT
cana-804	39	1	using	use	VERB
cana-804	39	2	graph	graph	NOUN
cana-804	39	3	-	-	PUNCT
cana-804	39	4	based	base	VERB
cana-804	39	5	models	model	NOUN
cana-804	39	6	,	,	PUNCT
cana-804	39	7	cybersecurity	cybersecurity	NOUN
cana-804	39	8	experts	expert	NOUN
cana-804	39	9	can	can	AUX
cana-804	39	10	learn	learn	VERB
cana-804	39	11	a	a	DET
cana-804	39	12	lot	lot	NOUN
cana-804	39	13	about	about	ADP
cana-804	39	14	the	the	DET
cana-804	39	15	structure	structure	NOUN
cana-804	39	16	and	and	CCONJ
cana-804	39	17	movement	movement	NOUN
cana-804	39	18	of	of	ADP
cana-804	39	19	the	the	DET
cana-804	39	20	cyber	cyber	NOUN
cana-804	39	21	territory	territory	NOUN
cana-804	40	1	[	[	X
cana-804	40	2	2	2	NUM
cana-804	40	3	]	]	PUNCT
cana-804	40	4	.	.	PUNCT
cana-804	41	1	this	this	PRON
cana-804	41	2	helps	help	VERB
cana-804	41	3	them	they	PRON
cana-804	41	4	come	come	VERB
cana-804	41	5	up	up	ADP
cana-804	41	6	with	with	ADP
cana-804	41	7	better	well	ADJ
cana-804	41	8	ways	way	NOUN
cana-804	41	9	to	to	PART
cana-804	41	10	find	find	VERB
cana-804	41	11	threats	threat	NOUN
cana-804	41	12	and	and	CCONJ
cana-804	41	13	stop	stop	VERB
cana-804	41	14	them	they	PRON
cana-804	41	15	.	.	PUNCT
cana-804	42	1	graph	graph	NOUN
cana-804	42	2	theory	theory	NOUN
cana-804	42	3	has	have	VERB
cana-804	42	4	a	a	DET
cana-804	42	5	lot	lot	NOUN
cana-804	42	6	of	of	ADP
cana-804	42	7	built	build	VERB
cana-804	42	8	-	-	PUNCT
cana-804	42	9	in	in	ADP
cana-804	42	10	benefits	benefit	NOUN
cana-804	42	11	for	for	ADP
cana-804	42	12	threat	threat	NOUN
cana-804	42	13	intelligence	intelligence	NOUN
cana-804	42	14	research	research	NOUN
cana-804	42	15	in	in	ADP
cana-804	42	16	cybersecurity	cybersecurity	NOUN
cana-804	42	17	.	.	PUNCT
cana-804	43	1	first	first	ADV
cana-804	43	2	,	,	PUNCT
cana-804	43	3	it	it	PRON
cana-804	43	4	simplifies	simplify	VERB
cana-804	43	5	complicated	complicated	ADJ
cana-804	43	6	network	network	NOUN
cana-804	43	7	structures	structure	NOUN
cana-804	43	8	and	and	CCONJ
cana-804	43	9	connections	connection	NOUN
cana-804	43	10	into	into	ADP
cana-804	43	11	a	a	DET
cana-804	43	12	single	single	ADJ
cana-804	43	13	,	,	PUNCT
cana-804	43	14	easy	easy	ADJ
cana-804	43	15	-	-	PUNCT
cana-804	43	16	to	to	PART
cana-804	43	17	-	-	PUNCT
cana-804	43	18	understand	understand	VERB
cana-804	43	19	style	style	NOUN
cana-804	43	20	.	.	PUNCT
cana-804	44	1	this	this	PRON
cana-804	44	2	lets	let	VERB
cana-804	44	3	researchers	researcher	NOUN
cana-804	44	4	find	find	VERB
cana-804	44	5	trends	trend	NOUN
cana-804	44	6	and	and	CCONJ
cana-804	44	7	outliers	outlier	NOUN
cana-804	44	8	that	that	PRON
cana-804	44	9	could	could	AUX
cana-804	44	10	be	be	AUX
cana-804	44	11	signs	sign	NOUN
cana-804	44	12	of	of	ADP
cana-804	44	13	hostile	hostile	ADJ
cana-804	44	14	activity	activity	NOUN
cana-804	44	15	.	.	PUNCT
cana-804	45	1	second	second	ADJ
cana-804	45	2	,	,	PUNCT
cana-804	45	3	graphbased	graphbased	ADJ
cana-804	45	4	models	model	NOUN
cana-804	45	5	make	make	VERB
cana-804	45	6	it	it	PRON
cana-804	45	7	easier	easy	ADJ
cana-804	45	8	to	to	PART
cana-804	45	9	combine	combine	VERB
cana-804	45	10	different	different	ADJ
cana-804	45	11	types	type	NOUN
cana-804	45	12	of	of	ADP
cana-804	45	13	data	datum	NOUN
cana-804	45	14	into	into	ADP
cana-804	45	15	a	a	DET
cana-804	45	16	single	single	ADJ
cana-804	45	17	framework	framework	NOUN
cana-804	45	18	.	.	PUNCT
cana-804	46	1	these	these	DET
cana-804	46	2	types	type	NOUN
cana-804	46	3	of	of	ADP
cana-804	46	4	data	datum	NOUN
cana-804	46	5	include	include	VERB
cana-804	46	6	network	network	NOUN
cana-804	46	7	traffic	traffic	NOUN
cana-804	46	8	,	,	PUNCT
cana-804	46	9	system	system	NOUN
cana-804	46	10	logs	log	NOUN
cana-804	46	11	,	,	PUNCT
cana-804	46	12	threat	threat	NOUN
cana-804	46	13	intelligence	intelligence	NOUN
cana-804	46	14	feeds	feed	NOUN
cana-804	46	15	,	,	PUNCT
cana-804	46	16	and	and	CCONJ
cana-804	46	17	environmental	environmental	ADJ
cana-804	46	18	information	information	NOUN
cana-804	46	19	[	[	X
cana-804	46	20	16	16	NUM
cana-804	46	21	]	]	PUNCT
cana-804	46	22	.	.	PUNCT
cana-804	47	1	this	this	PRON
cana-804	47	2	makes	make	VERB
cana-804	47	3	it	it	PRON
cana-804	47	4	possible	possible	ADJ
cana-804	47	5	to	to	PART
cana-804	47	6	look	look	VERB
cana-804	47	7	at	at	ADP
cana-804	47	8	different	different	ADJ
cana-804	47	9	kinds	kind	NOUN
cana-804	47	10	of	of	ADP
cana-804	47	11	data	datum	NOUN
cana-804	47	12	as	as	ADP
cana-804	47	13	a	a	DET
cana-804	47	14	whole	whole	NOUN
cana-804	47	15	and	and	CCONJ
cana-804	47	16	see	see	VERB
cana-804	47	17	how	how	SCONJ
cana-804	47	18	they	they	PRON
cana-804	47	19	relate	relate	VERB
cana-804	47	20	to	to	ADP
cana-804	47	21	each	each	DET
cana-804	47	22	other	other	ADJ
cana-804	47	23	,	,	PUNCT
cana-804	47	24	which	which	PRON
cana-804	47	25	helps	help	VERB
cana-804	47	26	us	we	PRON
cana-804	47	27	understand	understand	VERB
cana-804	47	28	computer	computer	NOUN
cana-804	47	29	risks	risk	VERB
cana-804	47	30	better	well	ADV
cana-804	47	31	.	.	PUNCT
cana-804	48	1	while	while	SCONJ
cana-804	48	2	graph	graph	NOUN
cana-804	48	3	theory	theory	NOUN
cana-804	48	4	is	be	AUX
cana-804	48	5	a	a	DET
cana-804	48	6	great	great	ADJ
cana-804	48	7	way	way	NOUN
cana-804	48	8	to	to	PART
cana-804	48	9	describe	describe	VERB
cana-804	48	10	complicated	complicated	ADJ
cana-804	48	11	systems	system	NOUN
cana-804	48	12	on	on	ADP
cana-804	48	13	its	its	PRON
cana-804	48	14	own	own	ADJ
cana-804	48	15	,	,	PUNCT
cana-804	48	16	machine	machine	NOUN
cana-804	48	17	learning	learning	NOUN
cana-804	48	18	methods	method	NOUN
cana-804	48	19	can	can	AUX
cana-804	48	20	make	make	VERB
cana-804	48	21	it	it	PRON
cana-804	48	22	even	even	ADV
cana-804	48	23	more	more	ADV
cana-804	48	24	useful	useful	ADJ
cana-804	48	25	for	for	ADP
cana-804	48	26	analyzing	analyze	VERB
cana-804	48	27	online	online	ADJ
cana-804	48	28	threats	threat	NOUN
cana-804	48	29	[	[	X
cana-804	48	30	17	17	NUM
cana-804	48	31	]	]	PUNCT
cana-804	48	32	.	.	PUNCT
cana-804	49	1	automated	automate	VERB
cana-804	49	2	pattern	pattern	NOUN
cana-804	49	3	recognition	recognition	NOUN
cana-804	49	4	,	,	PUNCT
cana-804	49	5	anomaly	anomaly	NOUN
cana-804	49	6	spotting	spotting	NOUN
cana-804	49	7	,	,	PUNCT
cana-804	49	8	and	and	CCONJ
cana-804	49	9	prediction	prediction	NOUN
cana-804	49	10	analytics	analytic	NOUN
cana-804	49	11	are	be	AUX
cana-804	49	12	all	all	ADV
cana-804	49	13	possible	possible	ADJ
cana-804	49	14	with	with	ADP
cana-804	49	15	machine	machine	NOUN
cana-804	49	16	learning	learning	NOUN
cana-804	49	17	algorithms	algorithm	NOUN
cana-804	49	18	,	,	PUNCT
cana-804	49	19	especially	especially	ADV
cana-804	49	20	controlled	controlled	ADJ
cana-804	49	21	and	and	CCONJ
cana-804	49	22	unstructured	unstructured	ADJ
cana-804	49	23	learning	learning	NOUN
cana-804	49	24	methods	method	NOUN
cana-804	49	25	.	.	PUNCT
cana-804	50	1	these	these	PRON
cana-804	50	2	are	be	AUX
cana-804	50	3	very	very	ADV
cana-804	50	4	useful	useful	ADJ
cana-804	50	5	for	for	ADP
cana-804	50	6	defense	defense	NOUN
cana-804	50	7	operations	operation	NOUN
cana-804	50	8	.	.	PUNCT
cana-804	51	1	supervised	supervised	ADJ
cana-804	51	2	learning	learn	VERB
cana-804	51	3	algorithms	algorithm	NOUN
cana-804	51	4	can	can	AUX
cana-804	51	5	sort	sort	VERB
cana-804	51	6	threats	threat	NOUN
cana-804	51	7	into	into	ADP
cana-804	51	8	groups	group	NOUN
cana-804	51	9	by	by	ADP
cana-804	51	10	using	use	VERB
cana-804	51	11	past	past	ADJ
cana-804	51	12	data	datum	NOUN
cana-804	51	13	and	and	CCONJ
cana-804	51	14	known	known	ADJ
cana-804	51	15	trends	trend	NOUN
cana-804	51	16	of	of	ADP
cana-804	51	17	bad	bad	ADJ
cana-804	51	18	behavior	behavior	NOUN
cana-804	51	19	to	to	PART
cana-804	51	20	train	train	VERB
cana-804	51	21	models	model	NOUN
cana-804	51	22	[	[	X
cana-804	51	23	18	18	NUM
cana-804	51	24	]	]	PUNCT
cana-804	51	25	.	.	PUNCT
cana-804	52	1	this	this	PRON
cana-804	52	2	lets	let	VERB
cana-804	52	3	them	they	PRON
cana-804	52	4	find	find	VERB
cana-804	52	5	and	and	CCONJ
cana-804	52	6	fix	fix	VERB
cana-804	52	7	security	security	NOUN
cana-804	52	8	risks	risk	NOUN
cana-804	52	9	before	before	SCONJ
cana-804	52	10	they	they	PRON
cana-804	52	11	happen	happen	VERB
cana-804	52	12	.	.	PUNCT
cana-804	53	1	on	on	ADP
cana-804	53	2	the	the	DET
cana-804	53	3	other	other	ADJ
cana-804	53	4	hand	hand	NOUN
cana-804	53	5	,	,	PUNCT
cana-804	53	6	unsupervised	unsupervised	ADJ
cana-804	53	7	learning	learning	NOUN
cana-804	53	8	techniques	technique	NOUN
cana-804	53	9	can	can	AUX
cana-804	53	10	find	find	VERB
cana-804	53	11	strange	strange	ADJ
cana-804	53	12	or	or	CCONJ
cana-804	53	13	offtarget	offtarget	NOUN
cana-804	53	14	behavior	behavior	NOUN
cana-804	53	15	in	in	ADP
cana-804	53	16	networks	network	NOUN
cana-804	53	17	,	,	PUNCT
cana-804	53	18	which	which	PRON
cana-804	53	19	can	can	AUX
cana-804	53	20	reveal	reveal	VERB
cana-804	53	21	possible	possible	ADJ
cana-804	53	22	signs	sign	NOUN
cana-804	53	23	of	of	ADP
cana-804	53	24	compromise	compromise	NOUN
cana-804	53	25	(	(	PUNCT
cana-804	53	26	iocs	ioc	NOUN
cana-804	53	27	)	)	PUNCT
cana-804	53	28	and	and	CCONJ
cana-804	53	29	new	new	ADJ
cana-804	53	30	risks	risk	NOUN
cana-804	53	31	.	.	PUNCT
cana-804	54	1	when	when	SCONJ
cana-804	54	2	you	you	PRON
cana-804	54	3	combine	combine	VERB
cana-804	54	4	graph	graph	NOUN
cana-804	54	5	theory	theory	NOUN
cana-804	54	6	and	and	CCONJ
cana-804	54	7	machine	machine	NOUN
cana-804	54	8	learning	learning	NOUN
cana-804	54	9	,	,	PUNCT
cana-804	54	10	they	they	PRON
cana-804	54	11	work	work	VERB
cana-804	54	12	well	well	ADV
cana-804	54	13	together	together	ADV
cana-804	54	14	because	because	SCONJ
cana-804	54	15	they	they	PRON
cana-804	54	16	build	build	VERB
cana-804	54	17	on	on	ADP
cana-804	54	18	each	each	DET
cana-804	54	19	other	other	ADJ
cana-804	54	20	's	's	PART
cana-804	54	21	skills	skill	NOUN
cana-804	54	22	.	.	PUNCT
cana-804	55	1	graph	graph	NOUN
cana-804	55	2	-	-	PUNCT
cana-804	55	3	based	base	VERB
cana-804	55	4	models	model	NOUN
cana-804	55	5	give	give	VERB
cana-804	55	6	you	you	PRON
cana-804	55	7	an	an	DET
cana-804	55	8	organized	organized	ADJ
cana-804	55	9	way	way	NOUN
cana-804	55	10	to	to	PART
cana-804	55	11	organize	organize	VERB
cana-804	55	12	and	and	CCONJ
cana-804	55	13	analyze	analyze	VERB
cana-804	55	14	data	datum	NOUN
cana-804	55	15	,	,	PUNCT
cana-804	55	16	and	and	CCONJ
cana-804	55	17	machine	machine	NOUN
cana-804	55	18	learning	learn	VERB
cana-804	55	19	techniques	technique	NOUN
cana-804	55	20	give	give	VERB
cana-804	55	21	you	you	PRON
cana-804	55	22	the	the	DET
cana-804	55	23	computing	computing	NOUN
cana-804	55	24	power	power	NOUN
cana-804	55	25	and	and	CCONJ
cana-804	55	26	tools	tool	NOUN
cana-804	55	27	you	you	PRON
cana-804	55	28	need	need	VERB
cana-804	55	29	to	to	PART
cana-804	55	30	get	get	VERB
cana-804	55	31	useful	useful	ADJ
cana-804	55	32	information	information	NOUN
cana-804	55	33	from	from	ADP
cana-804	55	34	a	a	DET
cana-804	55	35	huge	huge	ADJ
cana-804	55	36	number	number	NOUN
cana-804	55	37	of	of	ADP
cana-804	55	38	different	different	ADJ
cana-804	55	39	data	datum	NOUN
cana-804	55	40	sources	source	NOUN
cana-804	55	41	[	[	X
cana-804	55	42	19	19	NUM
cana-804	55	43	]	]	PUNCT
cana-804	55	44	.	.	PUNCT
cana-804	56	1	also	also	ADV
cana-804	56	2	,	,	PUNCT
cana-804	56	3	companies	company	NOUN
cana-804	56	4	can	can	AUX
cana-804	56	5	adapt	adapt	VERB
cana-804	56	6	to	to	ADP
cana-804	56	7	new	new	ADJ
cana-804	56	8	threats	threat	NOUN
cana-804	56	9	and	and	CCONJ
cana-804	56	10	make	make	VERB
cana-804	56	11	their	their	PRON
cana-804	56	12	networks	network	NOUN
cana-804	56	13	more	more	ADV
cana-804	56	14	secure	secure	ADJ
cana-804	56	15	by	by	ADP
cana-804	56	16	constantly	constantly	ADV
cana-804	56	17	improving	improve	VERB
cana-804	56	18	and	and	CCONJ
cana-804	56	19	changing	change	VERB
cana-804	56	20	machine	machine	NOUN
cana-804	56	21	learning	learning	NOUN
cana-804	56	22	models	model	NOUN
cana-804	56	23	based	base	VERB
cana-804	56	24	on	on	ADP
cana-804	56	25	comments	comment	NOUN
cana-804	56	26	received	receive	VERB
cana-804	56	27	in	in	ADP
cana-804	56	28	real	real	ADJ
cana-804	56	29	time	time	NOUN
cana-804	56	30	[	[	X
cana-804	56	31	20	20	NUM
cana-804	56	32	]	]	PUNCT
cana-804	56	33	.	.	PUNCT
cana-804	57	1	the	the	DET
cana-804	57	2	suggested	suggest	VERB
cana-804	57	3	framework	framework	NOUN
cana-804	57	4	tries	try	VERB
cana-804	57	5	to	to	PART
cana-804	57	6	solve	solve	VERB
cana-804	57	7	several	several	ADJ
cana-804	57	8	important	important	ADJ
cana-804	57	9	problems	problem	NOUN
cana-804	57	10	in	in	ADP
cana-804	57	11	cyber	cyber	ADJ
cana-804	57	12	threat	threat	NOUN
cana-804	57	13	intelligence	intelligence	NOUN
cana-804	57	14	analysis	analysis	NOUN
cana-804	57	15	,	,	PUNCT
cana-804	57	16	such	such	ADJ
cana-804	57	17	as	as	ADP
cana-804	57	18	the	the	DET
cana-804	57	19	need	need	NOUN
cana-804	57	20	for	for	ADP
cana-804	57	21	accurate	accurate	ADJ
cana-804	57	22	and	and	CCONJ
cana-804	57	23	fast	fast	ADJ
cana-804	57	24	threat	threat	NOUN
cana-804	57	25	identification	identification	NOUN
cana-804	57	26	and	and	CCONJ
cana-804	57	27	reaction	reaction	NOUN
cana-804	57	28	,	,	PUNCT
cana-804	57	29	the	the	DET
cana-804	57	30	need	need	NOUN
cana-804	57	31	for	for	ADP
cana-804	57	32	modern	modern	ADJ
cana-804	57	33	networks	network	NOUN
cana-804	57	34	to	to	PART
cana-804	57	35	be	be	AUX
cana-804	57	36	able	able	ADJ
cana-804	57	37	to	to	PART
cana-804	57	38	grow	grow	VERB
cana-804	57	39	and	and	CCONJ
cana-804	57	40	communications	communication	NOUN
cana-804	57	41	on	on	ADP
cana-804	57	42	applied	apply	VERB
cana-804	57	43	nonlinear	nonlinear	ADJ
cana-804	57	44	analysis	analysis	NOUN
cana-804	57	45	issn	issn	NOUN
cana-804	57	46	:	:	PUNCT
cana-804	57	47	1074	1074	NUM
cana-804	57	48	-	-	PUNCT
cana-804	57	49	133x	133x	NUM
cana-804	57	50	vol	vol	NOUN
cana-804	57	51	31	31	NUM
cana-804	57	52	no	no	NOUN
cana-804	57	53	.	.	PUNCT
cana-804	58	1	3s	3s	NUM
cana-804	58	2	(	(	PUNCT
cana-804	58	3	2024	2024	NUM
cana-804	58	4	)	)	PUNCT
cana-804	58	5	505	505	NUM
cana-804	58	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	58	7	become	become	VERB
cana-804	58	8	more	more	ADV
cana-804	58	9	complicated	complicated	ADJ
cana-804	58	10	,	,	PUNCT
cana-804	58	11	and	and	CCONJ
cana-804	58	12	the	the	DET
cana-804	58	13	fact	fact	NOUN
cana-804	58	14	that	that	SCONJ
cana-804	58	15	there	there	PRON
cana-804	58	16	are	be	VERB
cana-804	58	17	many	many	ADJ
cana-804	58	18	different	different	ADJ
cana-804	58	19	types	type	NOUN
cana-804	58	20	of	of	ADP
cana-804	58	21	threats	threat	NOUN
cana-804	58	22	that	that	PRON
cana-804	58	23	are	be	AUX
cana-804	58	24	always	always	ADV
cana-804	58	25	changing	change	VERB
cana-804	58	26	.	.	PUNCT
cana-804	59	1	by	by	ADP
cana-804	59	2	taking	take	VERB
cana-804	59	3	advantage	advantage	NOUN
cana-804	59	4	of	of	ADP
cana-804	59	5	how	how	SCONJ
cana-804	59	6	graph	graph	NOUN
cana-804	59	7	theory	theory	NOUN
cana-804	59	8	and	and	CCONJ
cana-804	59	9	machine	machine	NOUN
cana-804	59	10	learning	learning	NOUN
cana-804	59	11	work	work	NOUN
cana-804	59	12	together	together	ADV
cana-804	59	13	,	,	PUNCT
cana-804	59	14	businesses	business	NOUN
cana-804	59	15	can	can	AUX
cana-804	59	16	learn	learn	VERB
cana-804	59	17	more	more	ADJ
cana-804	59	18	about	about	ADP
cana-804	59	19	online	online	ADJ
cana-804	59	20	dangers	danger	NOUN
cana-804	59	21	and	and	CCONJ
cana-804	59	22	make	make	VERB
cana-804	59	23	their	their	PRON
cana-804	59	24	defenses	defense	NOUN
cana-804	59	25	stronger	strong	ADJ
cana-804	59	26	against	against	ADP
cana-804	59	27	new	new	ADJ
cana-804	59	28	ones	one	NOUN
cana-804	59	29	[	[	X
cana-804	59	30	15	15	NUM
cana-804	59	31	]	]	PUNCT
cana-804	59	32	.	.	PUNCT
cana-804	60	1	additionally	additionally	ADV
cana-804	60	2	,	,	PUNCT
cana-804	60	3	the	the	DET
cana-804	60	4	suggested	suggest	VERB
cana-804	60	5	framework	framework	NOUN
cana-804	60	6	is	be	AUX
cana-804	60	7	scalable	scalable	ADJ
cana-804	60	8	and	and	CCONJ
cana-804	60	9	adaptable	adaptable	ADJ
cana-804	60	10	,	,	PUNCT
cana-804	60	11	which	which	PRON
cana-804	60	12	lets	let	VERB
cana-804	60	13	it	it	PRON
cana-804	60	14	handle	handle	VERB
cana-804	60	15	changing	change	VERB
cana-804	60	16	cyber	cyber	ADJ
cana-804	60	17	dangers	danger	NOUN
cana-804	60	18	and	and	CCONJ
cana-804	60	19	handle	handle	VERB
cana-804	60	20	network	network	NOUN
cana-804	60	21	systems	system	NOUN
cana-804	60	22	that	that	PRON
cana-804	60	23	are	be	AUX
cana-804	60	24	changing	change	VERB
cana-804	60	25	.	.	PUNCT
cana-804	61	1	combining	combine	VERB
cana-804	61	2	graph	graph	NOUN
cana-804	61	3	theory	theory	NOUN
cana-804	61	4	and	and	CCONJ
cana-804	61	5	machine	machine	NOUN
cana-804	61	6	learning	learning	NOUN
cana-804	61	7	is	be	AUX
cana-804	61	8	a	a	DET
cana-804	61	9	potential	potential	ADJ
cana-804	61	10	way	way	NOUN
cana-804	61	11	to	to	PART
cana-804	61	12	improve	improve	VERB
cana-804	61	13	the	the	DET
cana-804	61	14	study	study	NOUN
cana-804	61	15	of	of	ADP
cana-804	61	16	cyber	cyber	ADJ
cana-804	61	17	threat	threat	NOUN
cana-804	61	18	information	information	NOUN
cana-804	61	19	.	.	PUNCT
cana-804	62	1	by	by	ADP
cana-804	62	2	using	use	VERB
cana-804	62	3	the	the	DET
cana-804	62	4	strengths	strength	NOUN
cana-804	62	5	of	of	ADP
cana-804	62	6	these	these	DET
cana-804	62	7	two	two	NUM
cana-804	62	8	areas	area	NOUN
cana-804	62	9	that	that	PRON
cana-804	62	10	work	work	VERB
cana-804	62	11	well	well	ADV
cana-804	62	12	together	together	ADV
cana-804	62	13	,	,	PUNCT
cana-804	62	14	businesses	business	NOUN
cana-804	62	15	can	can	AUX
cana-804	62	16	improve	improve	VERB
cana-804	62	17	their	their	PRON
cana-804	62	18	safety	safety	NOUN
cana-804	62	19	and	and	CCONJ
cana-804	62	20	better	well	ADJ
cana-804	62	21	protect	protect	VERB
cana-804	62	22	themselves	themselves	PRON
cana-804	62	23	from	from	ADP
cana-804	62	24	threats	threat	NOUN
cana-804	62	25	from	from	ADP
cana-804	62	26	smart	smart	ADJ
cana-804	62	27	enemies	enemy	NOUN
cana-804	62	28	.	.	PUNCT
cana-804	63	1	further	further	ADJ
cana-804	63	2	parts	part	NOUN
cana-804	63	3	of	of	ADP
cana-804	63	4	this	this	DET
cana-804	63	5	paper	paper	NOUN
cana-804	63	6	will	will	AUX
cana-804	63	7	talk	talk	VERB
cana-804	63	8	about	about	ADP
cana-804	63	9	the	the	DET
cana-804	63	10	theoretical	theoretical	ADJ
cana-804	63	11	foundations	foundation	NOUN
cana-804	63	12	of	of	ADP
cana-804	63	13	the	the	DET
cana-804	63	14	suggested	suggest	VERB
cana-804	63	15	framework	framework	NOUN
cana-804	63	16	,	,	PUNCT
cana-804	63	17	how	how	SCONJ
cana-804	63	18	it	it	PRON
cana-804	63	19	can	can	AUX
cana-804	63	20	be	be	AUX
cana-804	63	21	put	put	VERB
cana-804	63	22	into	into	ADP
cana-804	63	23	practice	practice	NOUN
cana-804	63	24	,	,	PUNCT
cana-804	63	25	and	and	CCONJ
cana-804	63	26	real	real	ADJ
cana-804	63	27	-	-	PUNCT
cana-804	63	28	world	world	NOUN
cana-804	63	29	tests	test	NOUN
cana-804	63	30	that	that	PRON
cana-804	63	31	show	show	VERB
cana-804	63	32	how	how	SCONJ
cana-804	63	33	well	well	ADV
cana-804	63	34	it	it	PRON
cana-804	63	35	works	work	VERB
cana-804	63	36	at	at	ADP
cana-804	63	37	improving	improve	VERB
cana-804	63	38	cyber	cyber	ADJ
cana-804	63	39	threat	threat	NOUN
cana-804	63	40	assessment	assessment	NOUN
cana-804	63	41	.	.	PUNCT
cana-804	64	1	2.related	2.related	NUM
cana-804	64	2	work	work	NOUN
cana-804	64	3	mathematical	mathematical	ADJ
cana-804	64	4	models	model	NOUN
cana-804	64	5	for	for	ADP
cana-804	64	6	threat	threat	NOUN
cana-804	64	7	intelligence	intelligence	NOUN
cana-804	64	8	analysis	analysis	NOUN
cana-804	64	9	is	be	AUX
cana-804	64	10	a	a	DET
cana-804	64	11	related	related	ADJ
cana-804	64	12	area	area	NOUN
cana-804	64	13	that	that	PRON
cana-804	64	14	includes	include	VERB
cana-804	64	15	a	a	DET
cana-804	64	16	wide	wide	ADJ
cana-804	64	17	range	range	NOUN
cana-804	64	18	of	of	ADP
cana-804	64	19	studies	study	NOUN
cana-804	64	20	that	that	PRON
cana-804	64	21	try	try	VERB
cana-804	64	22	to	to	PART
cana-804	64	23	improve	improve	VERB
cana-804	64	24	safety	safety	NOUN
cana-804	64	25	through	through	ADP
cana-804	64	26	new	new	ADJ
cana-804	64	27	methods	method	NOUN
cana-804	64	28	.	.	PUNCT
cana-804	65	1	a	a	DET
cana-804	65	2	thorough	thorough	ADJ
cana-804	65	3	study	study	NOUN
cana-804	65	4	of	of	ADP
cana-804	65	5	the	the	DET
cana-804	65	6	available	available	ADJ
cana-804	65	7	literature	literature	NOUN
cana-804	65	8	shows	show	VERB
cana-804	65	9	that	that	SCONJ
cana-804	65	10	a	a	DET
cana-804	65	11	lot	lot	NOUN
cana-804	65	12	of	of	ADP
cana-804	65	13	research	research	NOUN
cana-804	65	14	has	have	AUX
cana-804	65	15	been	be	AUX
cana-804	65	16	done	do	VERB
cana-804	65	17	on	on	ADP
cana-804	65	18	using	use	VERB
cana-804	65	19	graph	graph	NOUN
cana-804	65	20	theory	theory	NOUN
cana-804	65	21	and	and	CCONJ
cana-804	65	22	machine	machine	NOUN
cana-804	65	23	learning	learn	VERB
cana-804	65	24	to	to	PART
cana-804	65	25	improve	improve	VERB
cana-804	65	26	methods	method	NOUN
cana-804	65	27	for	for	ADP
cana-804	65	28	detecting	detect	VERB
cana-804	65	29	and	and	CCONJ
cana-804	65	30	reducing	reduce	VERB
cana-804	65	31	cyber	cyber	NOUN
cana-804	65	32	threats	threat	NOUN
cana-804	65	33	.	.	PUNCT
cana-804	66	1	an	an	DET
cana-804	66	2	important	important	ADJ
cana-804	66	3	theme	theme	NOUN
cana-804	66	4	in	in	ADP
cana-804	66	5	a	a	DET
cana-804	66	6	lot	lot	NOUN
cana-804	66	7	of	of	ADP
cana-804	66	8	the	the	DET
cana-804	66	9	linked	link	VERB
cana-804	66	10	work	work	NOUN
cana-804	66	11	is	be	AUX
cana-804	66	12	looking	look	VERB
cana-804	66	13	into	into	ADP
cana-804	66	14	how	how	SCONJ
cana-804	66	15	to	to	PART
cana-804	66	16	use	use	VERB
cana-804	66	17	graphs	graph	NOUN
cana-804	66	18	for	for	ADP
cana-804	66	19	safety	safety	NOUN
cana-804	66	20	purposes	purpose	NOUN
cana-804	66	21	,	,	PUNCT
cana-804	66	22	especially	especially	ADV
cana-804	66	23	for	for	ADP
cana-804	66	24	breach	breach	NOUN
cana-804	66	25	detection	detection	NOUN
cana-804	66	26	and	and	CCONJ
cana-804	66	27	network	network	NOUN
cana-804	66	28	security	security	NOUN
cana-804	66	29	[	[	X
cana-804	66	30	21	21	NUM
cana-804	66	31	]	]	PUNCT
cana-804	66	32	.	.	PUNCT
cana-804	67	1	"	"	PUNCT
cana-804	67	2	a	a	DET
cana-804	67	3	survey	survey	NOUN
cana-804	67	4	of	of	ADP
cana-804	67	5	graph	graph	NOUN
cana-804	67	6	-	-	PUNCT
cana-804	67	7	based	base	VERB
cana-804	67	8	anomaly	anomaly	NOUN
cana-804	67	9	detection	detection	NOUN
cana-804	67	10	techniques	technique	NOUN
cana-804	67	11	for	for	ADP
cana-804	67	12	network	network	NOUN
cana-804	67	13	intrusion	intrusion	NOUN
cana-804	67	14	detection	detection	NOUN
cana-804	67	15	"	"	PUNCT
cana-804	67	16	and	and	CCONJ
cana-804	67	17	"	"	PUNCT
cana-804	67	18	graph	graph	NOUN
cana-804	67	19	-	-	PUNCT
cana-804	67	20	based	base	VERB
cana-804	67	21	analysis	analysis	NOUN
cana-804	67	22	for	for	ADP
cana-804	67	23	intrusion	intrusion	NOUN
cana-804	67	24	detection	detection	NOUN
cana-804	67	25	systems	system	NOUN
cana-804	67	26	:	:	PUNCT
cana-804	67	27	a	a	DET
cana-804	67	28	survey	survey	NOUN
cana-804	67	29	"	"	PUNCT
cana-804	67	30	are	be	AUX
cana-804	67	31	two	two	NUM
cana-804	67	32	studies	study	NOUN
cana-804	67	33	that	that	PRON
cana-804	67	34	go	go	VERB
cana-804	67	35	into	into	ADP
cana-804	67	36	great	great	ADJ
cana-804	67	37	detail	detail	NOUN
cana-804	67	38	about	about	ADP
cana-804	67	39	graph	graph	NOUN
cana-804	67	40	-	-	PUNCT
cana-804	67	41	based	base	VERB
cana-804	67	42	methods	method	NOUN
cana-804	67	43	for	for	ADP
cana-804	67	44	finding	find	VERB
cana-804	67	45	strange	strange	ADJ
cana-804	67	46	behavior	behavior	NOUN
cana-804	67	47	and	and	CCONJ
cana-804	67	48	possible	possible	ADJ
cana-804	67	49	security	security	NOUN
cana-804	67	50	threats	threat	NOUN
cana-804	67	51	in	in	ADP
cana-804	67	52	network	network	NOUN
cana-804	67	53	settings	setting	NOUN
cana-804	68	1	[	[	X
cana-804	68	2	3][4	3][4	X
cana-804	68	3	]	]	X
cana-804	68	4	.	.	PUNCT
cana-804	69	1	these	these	DET
cana-804	69	2	papers	paper	NOUN
cana-804	69	3	show	show	VERB
cana-804	69	4	how	how	SCONJ
cana-804	69	5	flexible	flexible	ADJ
cana-804	69	6	graph	graph	NOUN
cana-804	69	7	models	model	NOUN
cana-804	69	8	are	be	AUX
cana-804	69	9	for	for	ADP
cana-804	69	10	describing	describe	VERB
cana-804	69	11	complicated	complicated	ADJ
cana-804	69	12	links	link	NOUN
cana-804	69	13	between	between	ADP
cana-804	69	14	network	network	NOUN
cana-804	69	15	elements	element	NOUN
cana-804	69	16	and	and	CCONJ
cana-804	69	17	explain	explain	VERB
cana-804	69	18	how	how	SCONJ
cana-804	69	19	graph	graph	NOUN
cana-804	69	20	-	-	PUNCT
cana-804	69	21	based	base	VERB
cana-804	69	22	methods	method	NOUN
cana-804	69	23	can	can	AUX
cana-804	69	24	be	be	AUX
cana-804	69	25	used	use	VERB
cana-804	69	26	to	to	PART
cana-804	69	27	improve	improve	VERB
cana-804	69	28	breach	breach	NOUN
cana-804	69	29	detection	detection	NOUN
cana-804	69	30	.	.	PUNCT
cana-804	70	1	researchers	researcher	NOUN
cana-804	70	2	have	have	AUX
cana-804	70	3	paid	pay	VERB
cana-804	70	4	a	a	DET
cana-804	70	5	lot	lot	NOUN
cana-804	70	6	of	of	ADP
cana-804	70	7	attention	attention	NOUN
cana-804	70	8	to	to	ADP
cana-804	70	9	how	how	SCONJ
cana-804	70	10	machine	machine	NOUN
cana-804	70	11	learning	learning	NOUN
cana-804	70	12	techniques	technique	NOUN
cana-804	70	13	can	can	AUX
cana-804	70	14	be	be	AUX
cana-804	70	15	used	use	VERB
cana-804	70	16	in	in	ADP
cana-804	70	17	defense	defense	NOUN
cana-804	70	18	systems	system	NOUN
cana-804	70	19	.	.	PUNCT
cana-804	71	1	"	"	PUNCT
cana-804	71	2	machine	machine	NOUN
cana-804	71	3	learning	learn	VERB
cana-804	71	4	techniques	technique	NOUN
cana-804	71	5	for	for	ADP
cana-804	71	6	intrusion	intrusion	NOUN
cana-804	71	7	detection	detection	NOUN
cana-804	71	8	:	:	PUNCT
cana-804	71	9	a	a	DET
cana-804	71	10	review	review	NOUN
cana-804	71	11	"	"	PUNCT
cana-804	71	12	and	and	CCONJ
cana-804	71	13	"	"	PUNCT
cana-804	71	14	machine	machine	NOUN
cana-804	71	15	learning	learning	NOUN
cana-804	71	16	for	for	ADP
cana-804	71	17	cybersecurity	cybersecurity	NOUN
cana-804	71	18	:	:	PUNCT
cana-804	71	19	a	a	DET
cana-804	71	20	review	review	NOUN
cana-804	71	21	"	"	PUNCT
cana-804	71	22	are	be	AUX
cana-804	71	23	two	two	NUM
cana-804	71	24	studies	study	NOUN
cana-804	71	25	that	that	PRON
cana-804	71	26	give	give	VERB
cana-804	71	27	in	in	ADP
cana-804	71	28	-	-	PUNCT
cana-804	71	29	depth	depth	NOUN
cana-804	71	30	analyses	analysis	NOUN
cana-804	71	31	of	of	ADP
cana-804	71	32	machine	machine	NOUN
cana-804	71	33	learning	learning	NOUN
cana-804	71	34	methods	method	NOUN
cana-804	71	35	used	use	VERB
cana-804	71	36	in	in	ADP
cana-804	71	37	cybersecurity	cybersecurity	NOUN
cana-804	71	38	tasks	task	NOUN
cana-804	71	39	such	such	ADJ
cana-804	71	40	as	as	ADP
cana-804	71	41	finding	find	VERB
cana-804	71	42	strange	strange	ADJ
cana-804	71	43	behavior	behavior	NOUN
cana-804	71	44	and	and	CCONJ
cana-804	71	45	analyzing	analyze	VERB
cana-804	71	46	malware	malware	NOUN
cana-804	71	47	[	[	X
cana-804	71	48	5][6	5][6	NUM
cana-804	71	49	]	]	PUNCT
cana-804	71	50	.	.	PUNCT
cana-804	72	1	these	these	DET
cana-804	72	2	works	work	NOUN
cana-804	72	3	go	go	VERB
cana-804	72	4	into	into	ADP
cana-804	72	5	detail	detail	NOUN
cana-804	72	6	about	about	ADP
cana-804	72	7	the	the	DET
cana-804	72	8	pros	pro	NOUN
cana-804	72	9	and	and	CCONJ
cana-804	72	10	cons	con	NOUN
cana-804	72	11	of	of	ADP
cana-804	72	12	different	different	ADJ
cana-804	72	13	machine	machine	NOUN
cana-804	72	14	learning	learning	NOUN
cana-804	72	15	methods	method	NOUN
cana-804	72	16	,	,	PUNCT
cana-804	72	17	showing	show	VERB
cana-804	72	18	how	how	SCONJ
cana-804	72	19	they	they	PRON
cana-804	72	20	can	can	AUX
cana-804	72	21	be	be	AUX
cana-804	72	22	used	use	VERB
cana-804	72	23	and	and	CCONJ
cana-804	72	24	how	how	SCONJ
cana-804	72	25	well	well	ADV
cana-804	72	26	they	they	PRON
cana-804	72	27	work	work	VERB
cana-804	72	28	to	to	PART
cana-804	72	29	solve	solve	VERB
cana-804	72	30	hacking	hack	VERB
cana-804	72	31	problems	problem	NOUN
cana-804	72	32	.	.	PUNCT
cana-804	73	1	researchers	researcher	NOUN
cana-804	73	2	have	have	AUX
cana-804	73	3	been	be	AUX
cana-804	73	4	looking	look	VERB
cana-804	73	5	into	into	ADP
cana-804	73	6	how	how	SCONJ
cana-804	73	7	graph	graph	NOUN
cana-804	73	8	theory	theory	NOUN
cana-804	73	9	and	and	CCONJ
cana-804	73	10	machine	machine	NOUN
cana-804	73	11	learning	learning	NOUN
cana-804	73	12	can	can	AUX
cana-804	73	13	be	be	AUX
cana-804	73	14	used	use	VERB
cana-804	73	15	together	together	ADV
cana-804	73	16	in	in	ADP
cana-804	73	17	defense	defense	NOUN
cana-804	73	18	.	.	PUNCT
cana-804	74	1	books	book	NOUN
cana-804	74	2	like	like	ADP
cana-804	74	3	"	"	PUNCT
cana-804	74	4	graph	graph	NOUN
cana-804	74	5	-	-	PUNCT
cana-804	74	6	based	base	VERB
cana-804	74	7	techniques	technique	NOUN
cana-804	74	8	for	for	ADP
cana-804	74	9	cyber	cyber	ADJ
cana-804	74	10	threat	threat	NOUN
cana-804	74	11	intelligence	intelligence	NOUN
cana-804	74	12	"	"	PUNCT
cana-804	74	13	and	and	CCONJ
cana-804	74	14	"	"	PUNCT
cana-804	74	15	graph	graph	NOUN
cana-804	74	16	analytics	analytic	NOUN
cana-804	74	17	for	for	ADP
cana-804	74	18	cybersecurity	cybersecurity	NOUN
cana-804	74	19	:	:	PUNCT
cana-804	74	20	a	a	DET
cana-804	74	21	survey	survey	NOUN
cana-804	74	22	"	"	PUNCT
cana-804	74	23	talk	talk	NOUN
cana-804	74	24	about	about	ADP
cana-804	74	25	how	how	SCONJ
cana-804	74	26	mixing	mix	VERB
cana-804	74	27	graph	graph	NOUN
cana-804	74	28	-	-	PUNCT
cana-804	74	29	based	base	VERB
cana-804	74	30	analytics	analytic	NOUN
cana-804	74	31	with	with	ADP
cana-804	74	32	machine	machine	NOUN
cana-804	74	33	learning	learn	VERB
cana-804	74	34	algorithms	algorithm	NOUN
cana-804	74	35	can	can	AUX
cana-804	74	36	make	make	VERB
cana-804	74	37	cyber	cyber	NOUN
cana-804	74	38	threat	threat	NOUN
cana-804	74	39	intelligence	intelligence	NOUN
cana-804	74	40	research	research	NOUN
cana-804	74	41	better	well	ADV
cana-804	74	42	[	[	X
cana-804	74	43	7	7	NUM
cana-804	74	44	]	]	PUNCT
cana-804	74	45	.	.	PUNCT
cana-804	75	1	these	these	DET
cana-804	75	2	studies	study	NOUN
cana-804	75	3	show	show	VERB
cana-804	75	4	how	how	SCONJ
cana-804	75	5	graph	graph	NOUN
cana-804	75	6	models	model	NOUN
cana-804	75	7	can	can	AUX
cana-804	75	8	tell	tell	VERB
cana-804	75	9	us	we	PRON
cana-804	75	10	a	a	DET
cana-804	75	11	lot	lot	NOUN
cana-804	75	12	about	about	ADP
cana-804	75	13	how	how	SCONJ
cana-804	75	14	networks	network	NOUN
cana-804	75	15	are	be	AUX
cana-804	75	16	put	put	VERB
cana-804	75	17	together	together	ADV
cana-804	75	18	,	,	PUNCT
cana-804	75	19	and	and	CCONJ
cana-804	75	20	how	how	SCONJ
cana-804	75	21	machine	machine	NOUN
cana-804	75	22	learning	learning	NOUN
cana-804	75	23	methods	method	NOUN
cana-804	75	24	can	can	AUX
cana-804	75	25	help	help	VERB
cana-804	75	26	us	we	PRON
cana-804	75	27	automatically	automatically	ADV
cana-804	75	28	find	find	VERB
cana-804	75	29	patterns	pattern	NOUN
cana-804	75	30	and	and	CCONJ
cana-804	75	31	strange	strange	ADJ
cana-804	75	32	things	thing	NOUN
cana-804	75	33	,	,	PUNCT
cana-804	75	34	which	which	PRON
cana-804	75	35	makes	make	VERB
cana-804	75	36	cyber	cyber	NOUN
cana-804	75	37	defenses	defense	NOUN
cana-804	75	38	stronger	strong	ADJ
cana-804	75	39	[	[	X
cana-804	75	40	14	14	NUM
cana-804	75	41	]	]	PUNCT
cana-804	75	42	.	.	PUNCT
cana-804	76	1	a	a	DET
cana-804	76	2	number	number	NOUN
cana-804	76	3	of	of	ADP
cana-804	76	4	studies	study	NOUN
cana-804	76	5	have	have	AUX
cana-804	76	6	also	also	ADV
cana-804	76	7	used	use	VERB
cana-804	76	8	practical	practical	ADJ
cana-804	76	9	analyses	analysis	NOUN
cana-804	76	10	and	and	CCONJ
cana-804	76	11	case	case	NOUN
cana-804	76	12	studies	study	NOUN
cana-804	76	13	to	to	PART
cana-804	76	14	look	look	VERB
cana-804	76	15	at	at	ADP
cana-804	76	16	how	how	SCONJ
cana-804	76	17	well	well	ADV
cana-804	76	18	mathematics	mathematics	NOUN
cana-804	76	19	models	model	NOUN
cana-804	76	20	work	work	VERB
cana-804	76	21	in	in	ADP
cana-804	76	22	the	the	DET
cana-804	76	23	real	real	ADJ
cana-804	76	24	world	world	NOUN
cana-804	76	25	.	.	PUNCT
cana-804	77	1	for	for	ADP
cana-804	77	2	example	example	NOUN
cana-804	77	3	,	,	PUNCT
cana-804	77	4	"	"	PUNCT
cana-804	77	5	graph	graph	NOUN
cana-804	77	6	-	-	PUNCT
cana-804	77	7	based	base	VERB
cana-804	77	8	techniques	technique	NOUN
cana-804	77	9	for	for	ADP
cana-804	77	10	malware	malware	NOUN
cana-804	77	11	detection	detection	NOUN
cana-804	77	12	"	"	PUNCT
cana-804	77	13	looks	look	VERB
cana-804	77	14	into	into	ADP
cana-804	77	15	how	how	SCONJ
cana-804	77	16	well	well	ADV
cana-804	77	17	graph	graph	NOUN
cana-804	77	18	-	-	PUNCT
cana-804	77	19	based	base	VERB
cana-804	77	20	methods	method	NOUN
cana-804	77	21	work	work	VERB
cana-804	77	22	at	at	ADP
cana-804	77	23	finding	find	VERB
cana-804	77	24	and	and	CCONJ
cana-804	77	25	studying	study	VERB
cana-804	77	26	malware	malware	NOUN
cana-804	77	27	,	,	PUNCT
cana-804	77	28	showing	show	VERB
cana-804	77	29	how	how	SCONJ
cana-804	77	30	useful	useful	ADJ
cana-804	77	31	they	they	PRON
cana-804	77	32	are	be	AUX
cana-804	77	33	for	for	ADP
cana-804	77	34	finding	find	VERB
cana-804	77	35	harmful	harmful	ADJ
cana-804	77	36	patterns	pattern	NOUN
cana-804	77	37	and	and	CCONJ
cana-804	77	38	behaviors	behavior	NOUN
cana-804	77	39	in	in	ADP
cana-804	77	40	large	large	ADJ
cana-804	77	41	datasets	dataset	NOUN
cana-804	77	42	[	[	X
cana-804	77	43	8	8	NUM
cana-804	77	44	]	]	PUNCT
cana-804	77	45	.	.	PUNCT
cana-804	78	1	in	in	ADP
cana-804	78	2	the	the	DET
cana-804	78	3	same	same	ADJ
cana-804	78	4	way	way	NOUN
cana-804	78	5	,	,	PUNCT
cana-804	78	6	"	"	PUNCT
cana-804	78	7	an	an	DET
cana-804	78	8	overview	overview	NOUN
cana-804	78	9	of	of	ADP
cana-804	78	10	machine	machine	NOUN
cana-804	78	11	learning	learn	VERB
cana-804	78	12	techniques	technique	NOUN
cana-804	78	13	in	in	ADP
cana-804	78	14	cyber	cyber	ADJ
cana-804	78	15	threat	threat	NOUN
cana-804	78	16	intelligence	intelligence	NOUN
cana-804	78	17	"	"	PUNCT
cana-804	78	18	shows	show	VERB
cana-804	78	19	how	how	SCONJ
cana-804	78	20	machine	machine	NOUN
cana-804	78	21	learning	learn	VERB
cana-804	78	22	techniques	technique	NOUN
cana-804	78	23	can	can	AUX
cana-804	78	24	be	be	AUX
cana-804	78	25	used	use	VERB
cana-804	78	26	in	in	ADP
cana-804	78	27	cyber	cyber	ADJ
cana-804	78	28	threat	threat	NOUN
cana-804	78	29	intelligence	intelligence	NOUN
cana-804	78	30	and	and	CCONJ
cana-804	78	31	how	how	SCONJ
cana-804	78	32	they	they	PRON
cana-804	78	33	can	can	AUX
cana-804	78	34	improve	improve	VERB
cana-804	78	35	the	the	DET
cana-804	78	36	ability	ability	NOUN
cana-804	78	37	to	to	PART
cana-804	78	38	find	find	VERB
cana-804	78	39	threats	threat	NOUN
cana-804	78	40	and	and	CCONJ
cana-804	78	41	respond	respond	VERB
cana-804	78	42	to	to	ADP
cana-804	78	43	them	they	PRON
cana-804	79	1	[	[	X
cana-804	79	2	9	9	NUM
cana-804	79	3	]	]	PUNCT
cana-804	79	4	.	.	PUNCT
cana-804	80	1	communications	communication	NOUN
cana-804	80	2	on	on	ADP
cana-804	80	3	applied	apply	VERB
cana-804	80	4	nonlinear	nonlinear	ADJ
cana-804	80	5	analysis	analysis	NOUN
cana-804	80	6	issn	issn	NOUN
cana-804	80	7	:	:	PUNCT
cana-804	80	8	1074	1074	NUM
cana-804	80	9	-	-	PUNCT
cana-804	80	10	133x	133x	NUM
cana-804	80	11	vol	vol	NOUN
cana-804	80	12	31	31	NUM
cana-804	80	13	no	no	NOUN
cana-804	80	14	.	.	PUNCT
cana-804	81	1	3s	3s	NUM
cana-804	81	2	(	(	PUNCT
cana-804	81	3	2024	2024	NUM
cana-804	81	4	)	)	PUNCT
cana-804	81	5	506	506	NUM
cana-804	81	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	81	7	table	table	NOUN
cana-804	81	8	1	1	NUM
cana-804	81	9	:	:	PUNCT
cana-804	81	10	related	relate	VERB
cana-804	81	11	work	work	NOUN
cana-804	81	12	sr	sr	PROPN
cana-804	81	13	.	.	PUNCT
cana-804	82	1	no	no	INTJ
cana-804	82	2	.	.	PUNCT
cana-804	83	1	scope	scope	NOUN
cana-804	83	2	method	method	PROPN
cana-804	83	3	findings	finding	NOUN
cana-804	83	4	1	1	NUM
cana-804	83	5	review	review	NOUN
cana-804	83	6	of	of	ADP
cana-804	83	7	graph	graph	NOUN
cana-804	83	8	-	-	PUNCT
cana-804	83	9	based	base	VERB
cana-804	83	10	anomaly	anomaly	NOUN
cana-804	83	11	detection	detection	NOUN
cana-804	83	12	methods	method	NOUN
cana-804	83	13	for	for	ADP
cana-804	83	14	network	network	NOUN
cana-804	83	15	intrusion	intrusion	NOUN
cana-804	83	16	detection	detection	NOUN
cana-804	83	17	.	.	PUNCT
cana-804	84	1	literature	literature	PROPN
cana-804	84	2	review	review	PROPN
cana-804	84	3	,	,	PUNCT
cana-804	84	4	comparative	comparative	ADJ
cana-804	84	5	analysis	analysis	NOUN
cana-804	84	6	identified	identify	VERB
cana-804	84	7	various	various	ADJ
cana-804	84	8	graph	graph	NOUN
cana-804	84	9	-	-	PUNCT
cana-804	84	10	based	base	VERB
cana-804	84	11	techniques	technique	NOUN
cana-804	84	12	and	and	CCONJ
cana-804	84	13	their	their	PRON
cana-804	84	14	effectiveness	effectiveness	NOUN
cana-804	84	15	in	in	ADP
cana-804	84	16	detecting	detect	VERB
cana-804	84	17	network	network	NOUN
cana-804	84	18	intrusions	intrusion	NOUN
cana-804	84	19	.	.	PUNCT
cana-804	85	1	2	2	NUM
cana-804	85	2	survey	survey	NOUN
cana-804	85	3	of	of	ADP
cana-804	85	4	graph	graph	NOUN
cana-804	85	5	-	-	PUNCT
cana-804	85	6	based	base	VERB
cana-804	85	7	techniques	technique	NOUN
cana-804	85	8	for	for	ADP
cana-804	85	9	intrusion	intrusion	NOUN
cana-804	85	10	detection	detection	NOUN
cana-804	85	11	systems	system	NOUN
cana-804	85	12	(	(	PUNCT
cana-804	85	13	ids	id	NOUN
cana-804	85	14	)	)	PUNCT
cana-804	85	15	.	.	PUNCT
cana-804	86	1	literature	literature	PROPN
cana-804	86	2	review	review	PROPN
cana-804	86	3	,	,	PUNCT
cana-804	86	4	survey	survey	NOUN
cana-804	86	5	summarized	summarize	VERB
cana-804	86	6	different	different	ADJ
cana-804	86	7	graph	graph	NOUN
cana-804	86	8	-	-	PUNCT
cana-804	86	9	based	base	VERB
cana-804	86	10	ids	id	NOUN
cana-804	86	11	approaches	approach	NOUN
cana-804	86	12	and	and	CCONJ
cana-804	86	13	their	their	PRON
cana-804	86	14	application	application	NOUN
cana-804	86	15	in	in	ADP
cana-804	86	16	cybersecurity	cybersecurity	NOUN
cana-804	86	17	.	.	PUNCT
cana-804	87	1	3	3	NUM
cana-804	87	2	review	review	NOUN
cana-804	87	3	of	of	ADP
cana-804	87	4	machine	machine	NOUN
cana-804	87	5	learning	learning	NOUN
cana-804	87	6	methods	method	NOUN
cana-804	87	7	for	for	ADP
cana-804	87	8	intrusion	intrusion	NOUN
cana-804	87	9	detection	detection	NOUN
cana-804	87	10	.	.	PUNCT
cana-804	88	1	literature	literature	PROPN
cana-804	88	2	review	review	PROPN
cana-804	88	3	,	,	PUNCT
cana-804	88	4	comparative	comparative	ADJ
cana-804	88	5	analysis	analysis	NOUN
cana-804	88	6	provided	provide	VERB
cana-804	88	7	an	an	DET
cana-804	88	8	overview	overview	NOUN
cana-804	88	9	of	of	ADP
cana-804	88	10	different	different	ADJ
cana-804	88	11	ml	ml	NOUN
cana-804	88	12	techniques	technique	NOUN
cana-804	88	13	and	and	CCONJ
cana-804	88	14	their	their	PRON
cana-804	88	15	effectiveness	effectiveness	NOUN
cana-804	88	16	in	in	ADP
cana-804	88	17	detecting	detect	VERB
cana-804	88	18	intrusions	intrusion	NOUN
cana-804	88	19	.	.	PUNCT
cana-804	89	1	4	4	NUM
cana-804	89	2	survey	survey	NOUN
cana-804	89	3	of	of	ADP
cana-804	89	4	deep	deep	ADJ
cana-804	89	5	learning	learning	NOUN
cana-804	89	6	approaches	approach	NOUN
cana-804	89	7	for	for	ADP
cana-804	89	8	anomaly	anomaly	NOUN
cana-804	89	9	detection	detection	NOUN
cana-804	89	10	in	in	ADP
cana-804	89	11	cybersecurity	cybersecurity	NOUN
cana-804	89	12	.	.	PUNCT
cana-804	90	1	literature	literature	PROPN
cana-804	90	2	review	review	PROPN
cana-804	90	3	,	,	PUNCT
cana-804	90	4	survey	survey	NOUN
cana-804	90	5	explored	explore	VERB
cana-804	90	6	the	the	DET
cana-804	90	7	application	application	NOUN
cana-804	90	8	of	of	ADP
cana-804	90	9	deep	deep	ADJ
cana-804	90	10	learning	learning	NOUN
cana-804	90	11	methods	method	NOUN
cana-804	90	12	in	in	ADP
cana-804	90	13	detecting	detect	VERB
cana-804	90	14	anomalies	anomaly	NOUN
cana-804	90	15	in	in	ADP
cana-804	90	16	network	network	NOUN
cana-804	90	17	traffic	traffic	NOUN
cana-804	90	18	.	.	PUNCT
cana-804	91	1	5	5	NUM
cana-804	91	2	review	review	NOUN
cana-804	91	3	of	of	ADP
cana-804	91	4	anomaly	anomaly	NOUN
cana-804	91	5	detection	detection	NOUN
cana-804	91	6	techniques	technique	NOUN
cana-804	91	7	in	in	ADP
cana-804	91	8	network	network	NOUN
cana-804	91	9	security	security	NOUN
cana-804	91	10	.	.	PUNCT
cana-804	92	1	literature	literature	PROPN
cana-804	92	2	review	review	PROPN
cana-804	92	3	summarized	summarize	VERB
cana-804	92	4	various	various	ADJ
cana-804	92	5	anomaly	anomaly	NOUN
cana-804	92	6	detection	detection	NOUN
cana-804	92	7	methods	method	NOUN
cana-804	92	8	and	and	CCONJ
cana-804	92	9	their	their	PRON
cana-804	92	10	applicability	applicability	NOUN
cana-804	92	11	in	in	ADP
cana-804	92	12	network	network	NOUN
cana-804	92	13	security	security	NOUN
cana-804	92	14	.	.	PUNCT
cana-804	93	1	6	6	NUM
cana-804	93	2	survey	survey	NOUN
cana-804	93	3	of	of	ADP
cana-804	93	4	graph	graph	NOUN
cana-804	93	5	analytics	analytic	NOUN
cana-804	93	6	techniques	technique	NOUN
cana-804	93	7	for	for	ADP
cana-804	93	8	cybersecurity	cybersecurity	NOUN
cana-804	93	9	applications	application	NOUN
cana-804	93	10	.	.	PUNCT
cana-804	94	1	literature	literature	PROPN
cana-804	94	2	review	review	PROPN
cana-804	94	3	,	,	PUNCT
cana-804	94	4	survey	survey	NOUN
cana-804	94	5	discussed	discuss	VERB
cana-804	94	6	the	the	DET
cana-804	94	7	use	use	NOUN
cana-804	94	8	of	of	ADP
cana-804	94	9	graph	graph	NOUN
cana-804	94	10	analytics	analytic	NOUN
cana-804	94	11	in	in	ADP
cana-804	94	12	detecting	detect	VERB
cana-804	94	13	cyber	cyber	NOUN
cana-804	94	14	threats	threat	NOUN
cana-804	94	15	and	and	CCONJ
cana-804	94	16	analyzing	analyze	VERB
cana-804	94	17	network	network	NOUN
cana-804	94	18	structures	structure	NOUN
cana-804	94	19	.	.	PUNCT
cana-804	95	1	7	7	NUM
cana-804	95	2	review	review	NOUN
cana-804	95	3	of	of	ADP
cana-804	95	4	machine	machine	NOUN
cana-804	95	5	learning	learn	VERB
cana-804	95	6	techniques	technique	NOUN
cana-804	95	7	for	for	ADP
cana-804	95	8	cybersecurity	cybersecurity	NOUN
cana-804	95	9	applications	application	NOUN
cana-804	95	10	.	.	PUNCT
cana-804	96	1	literature	literature	PROPN
cana-804	96	2	review	review	PROPN
cana-804	96	3	,	,	PUNCT
cana-804	96	4	comparative	comparative	ADJ
cana-804	96	5	analysis	analysis	NOUN
cana-804	96	6	examined	examine	VERB
cana-804	96	7	different	different	ADJ
cana-804	96	8	ml	ml	NOUN
cana-804	96	9	algorithms	algorithm	NOUN
cana-804	96	10	and	and	CCONJ
cana-804	96	11	their	their	PRON
cana-804	96	12	performance	performance	NOUN
cana-804	96	13	in	in	ADP
cana-804	96	14	addressing	address	VERB
cana-804	96	15	cybersecurity	cybersecurity	NOUN
cana-804	96	16	challenges	challenge	NOUN
cana-804	96	17	.	.	PUNCT
cana-804	97	1	8	8	NUM
cana-804	97	2	survey	survey	NOUN
cana-804	97	3	of	of	ADP
cana-804	97	4	intrusion	intrusion	NOUN
cana-804	97	5	detection	detection	NOUN
cana-804	97	6	systems	system	NOUN
cana-804	97	7	utilizing	utilize	VERB
cana-804	97	8	machine	machine	NOUN
cana-804	97	9	learning	learning	NOUN
cana-804	97	10	.	.	PUNCT
cana-804	98	1	literature	literature	PROPN
cana-804	98	2	review	review	PROPN
cana-804	98	3	,	,	PUNCT
cana-804	98	4	survey	survey	NOUN
cana-804	98	5	reviewed	review	VERB
cana-804	98	6	various	various	ADJ
cana-804	98	7	ml	ml	NOUN
cana-804	98	8	-	-	PUNCT
cana-804	98	9	based	base	VERB
cana-804	98	10	ids	id	NOUN
cana-804	98	11	approaches	approach	NOUN
cana-804	98	12	and	and	CCONJ
cana-804	98	13	their	their	PRON
cana-804	98	14	effectiveness	effectiveness	NOUN
cana-804	98	15	in	in	ADP
cana-804	98	16	detecting	detect	VERB
cana-804	98	17	cyber	cyber	NOUN
cana-804	98	18	threats	threat	NOUN
cana-804	98	19	.	.	PUNCT
cana-804	99	1	9	9	NUM
cana-804	99	2	examination	examination	NOUN
cana-804	99	3	of	of	ADP
cana-804	99	4	graph	graph	NOUN
cana-804	99	5	-	-	PUNCT
cana-804	99	6	based	base	VERB
cana-804	99	7	techniques	technique	NOUN
cana-804	99	8	for	for	ADP
cana-804	99	9	intrusion	intrusion	NOUN
cana-804	99	10	detection	detection	NOUN
cana-804	99	11	.	.	PUNCT
cana-804	100	1	literature	literature	PROPN
cana-804	100	2	review	review	PROPN
cana-804	100	3	,	,	PUNCT
cana-804	100	4	comparative	comparative	ADJ
cana-804	100	5	analysis	analysis	NOUN
cana-804	100	6	explored	explore	VERB
cana-804	100	7	different	different	ADJ
cana-804	100	8	graph	graph	NOUN
cana-804	100	9	-	-	PUNCT
cana-804	100	10	based	base	VERB
cana-804	100	11	methods	method	NOUN
cana-804	100	12	and	and	CCONJ
cana-804	100	13	their	their	PRON
cana-804	100	14	application	application	NOUN
cana-804	100	15	in	in	ADP
cana-804	100	16	detecting	detect	VERB
cana-804	100	17	network	network	NOUN
cana-804	100	18	intrusions	intrusion	NOUN
cana-804	100	19	.	.	PUNCT
cana-804	101	1	10	10	NUM
cana-804	101	2	overview	overview	NOUN
cana-804	101	3	of	of	ADP
cana-804	101	4	machine	machine	NOUN
cana-804	101	5	learning	learn	VERB
cana-804	101	6	techniques	technique	NOUN
cana-804	101	7	in	in	ADP
cana-804	101	8	cyber	cyber	ADJ
cana-804	101	9	threat	threat	NOUN
cana-804	101	10	intelligence	intelligence	NOUN
cana-804	101	11	.	.	PUNCT
cana-804	102	1	[	[	X
cana-804	102	2	11	11	NUM
cana-804	102	3	]	]	X
cana-804	102	4	literature	literature	NOUN
cana-804	102	5	review	review	NOUN
cana-804	102	6	provided	provide	VERB
cana-804	102	7	an	an	DET
cana-804	102	8	overview	overview	NOUN
cana-804	102	9	of	of	ADP
cana-804	102	10	ml	ml	NOUN
cana-804	102	11	methods	method	NOUN
cana-804	102	12	used	use	VERB
cana-804	102	13	in	in	ADP
cana-804	102	14	cyber	cyber	ADJ
cana-804	102	15	threat	threat	NOUN
cana-804	102	16	intelligence	intelligence	NOUN
cana-804	102	17	and	and	CCONJ
cana-804	102	18	their	their	PRON
cana-804	102	19	benefits	benefit	NOUN
cana-804	102	20	.	.	PUNCT
cana-804	103	1	11	11	NUM
cana-804	103	2	exploration	exploration	NOUN
cana-804	103	3	of	of	ADP
cana-804	103	4	graph	graph	NOUN
cana-804	103	5	-	-	PUNCT
cana-804	103	6	based	base	VERB
cana-804	103	7	techniques	technique	NOUN
cana-804	103	8	for	for	ADP
cana-804	103	9	cyber	cyber	ADJ
cana-804	103	10	threat	threat	NOUN
cana-804	103	11	intelligence	intelligence	NOUN
cana-804	103	12	.	.	PUNCT
cana-804	104	1	[	[	X
cana-804	104	2	10	10	NUM
cana-804	104	3	]	]	X
cana-804	104	4	literature	literature	PROPN
cana-804	104	5	review	review	PROPN
cana-804	104	6	,	,	PUNCT
cana-804	104	7	case	case	NOUN
cana-804	104	8	studies	study	NOUN
cana-804	104	9	analyzed	analyze	VERB
cana-804	104	10	the	the	DET
cana-804	104	11	effectiveness	effectiveness	NOUN
cana-804	104	12	of	of	ADP
cana-804	104	13	graph	graph	NOUN
cana-804	104	14	-	-	PUNCT
cana-804	104	15	based	base	VERB
cana-804	104	16	approaches	approach	NOUN
cana-804	104	17	in	in	ADP
cana-804	104	18	enhancing	enhance	VERB
cana-804	104	19	cyber	cyber	NOUN
cana-804	104	20	threat	threat	NOUN
cana-804	104	21	intelligence	intelligence	NOUN
cana-804	104	22	.	.	PUNCT
cana-804	105	1	12	12	NUM
cana-804	105	2	review	review	NOUN
cana-804	105	3	of	of	ADP
cana-804	105	4	machine	machine	NOUN
cana-804	105	5	learning	learning	NOUN
cana-804	105	6	methods	method	NOUN
cana-804	105	7	for	for	ADP
cana-804	105	8	network	network	NOUN
cana-804	105	9	security	security	NOUN
cana-804	105	10	applications	application	NOUN
cana-804	105	11	[	[	X
cana-804	105	12	12	12	NUM
cana-804	105	13	]	]	PUNCT
cana-804	105	14	.	.	PUNCT
cana-804	106	1	literature	literature	PROPN
cana-804	106	2	review	review	PROPN
cana-804	106	3	,	,	PUNCT
cana-804	106	4	comparative	comparative	ADJ
cana-804	106	5	analysis	analysis	NOUN
cana-804	106	6	examined	examine	VERB
cana-804	106	7	different	different	ADJ
cana-804	106	8	ml	ml	NOUN
cana-804	106	9	algorithms	algorithm	NOUN
cana-804	106	10	and	and	CCONJ
cana-804	106	11	their	their	PRON
cana-804	106	12	suitability	suitability	NOUN
cana-804	106	13	for	for	ADP
cana-804	106	14	network	network	NOUN
cana-804	106	15	security	security	NOUN
cana-804	106	16	tasks	task	NOUN
cana-804	106	17	.	.	PUNCT
cana-804	107	1	overall	overall	ADJ
cana-804	107	2	,	,	PUNCT
cana-804	107	3	similar	similar	ADJ
cana-804	107	4	work	work	NOUN
cana-804	107	5	in	in	ADP
cana-804	107	6	the	the	DET
cana-804	107	7	area	area	NOUN
cana-804	107	8	of	of	ADP
cana-804	107	9	mathematical	mathematical	ADJ
cana-804	107	10	models	model	NOUN
cana-804	107	11	for	for	ADP
cana-804	107	12	threat	threat	NOUN
cana-804	107	13	intelligence	intelligence	NOUN
cana-804	107	14	analysis	analysis	NOUN
cana-804	107	15	shows	show	VERB
cana-804	107	16	how	how	SCONJ
cana-804	107	17	important	important	ADJ
cana-804	107	18	it	it	PRON
cana-804	107	19	is	be	AUX
cana-804	107	20	to	to	PART
cana-804	107	21	use	use	VERB
cana-804	107	22	methods	method	NOUN
cana-804	107	23	from	from	ADP
cana-804	107	24	different	different	ADJ
cana-804	107	25	fields	field	NOUN
cana-804	107	26	to	to	PART
cana-804	107	27	solve	solve	VERB
cana-804	107	28	cybersecurity	cybersecurity	NOUN
cana-804	107	29	problems	problem	NOUN
cana-804	107	30	.	.	PUNCT
cana-804	108	1	researchers	researcher	NOUN
cana-804	108	2	want	want	VERB
cana-804	108	3	to	to	PART
cana-804	108	4	make	make	VERB
cana-804	108	5	strong	strong	ADJ
cana-804	108	6	and	and	CCONJ
cana-804	108	7	flexible	flexible	ADJ
cana-804	108	8	cybersecurity	cybersecurity	NOUN
cana-804	108	9	solutions	solution	NOUN
cana-804	108	10	that	that	PRON
cana-804	108	11	can	can	AUX
cana-804	108	12	keep	keep	VERB
cana-804	108	13	up	up	ADP
cana-804	108	14	with	with	ADP
cana-804	108	15	the	the	DET
cana-804	108	16	constantly	constantly	ADV
cana-804	108	17	changing	change	VERB
cana-804	108	18	danger	danger	NOUN
cana-804	108	19	scene	scene	NOUN
cana-804	108	20	by	by	ADP
cana-804	108	21	using	use	VERB
cana-804	108	22	the	the	DET
cana-804	108	23	ways	way	NOUN
cana-804	108	24	that	that	PRON
cana-804	108	25	graph	graph	NOUN
cana-804	108	26	theory	theory	NOUN
cana-804	108	27	and	and	CCONJ
cana-804	108	28	machine	machine	NOUN
cana-804	108	29	learning	learning	NOUN
cana-804	108	30	work	work	VERB
cana-804	108	31	together	together	ADV
cana-804	108	32	.	.	PUNCT
cana-804	109	1	going	go	VERB
cana-804	109	2	forward	forward	ADV
cana-804	109	3	,	,	PUNCT
cana-804	109	4	more	more	ADJ
cana-804	109	5	study	study	NOUN
cana-804	109	6	needs	need	VERB
cana-804	109	7	to	to	PART
cana-804	109	8	be	be	AUX
cana-804	109	9	done	do	VERB
cana-804	109	10	to	to	PART
cana-804	109	11	improve	improve	VERB
cana-804	109	12	current	current	ADJ
cana-804	109	13	methods	method	NOUN
cana-804	109	14	,	,	PUNCT
cana-804	109	15	look	look	VERB
cana-804	109	16	into	into	ADP
cana-804	109	17	new	new	ADJ
cana-804	109	18	techniques	technique	NOUN
cana-804	109	19	,	,	PUNCT
cana-804	109	20	and	and	CCONJ
cana-804	109	21	push	push	VERB
cana-804	109	22	the	the	DET
cana-804	109	23	boundaries	boundary	NOUN
cana-804	109	24	of	of	ADP
cana-804	109	25	cyber	cyber	NOUN
cana-804	109	26	threat	threat	NOUN
cana-804	109	27	intelligence	intelligence	NOUN
cana-804	109	28	analysis	analysis	NOUN
cana-804	109	29	.	.	PUNCT
cana-804	110	1	communications	communication	NOUN
cana-804	110	2	on	on	ADP
cana-804	110	3	applied	apply	VERB
cana-804	110	4	nonlinear	nonlinear	ADJ
cana-804	110	5	analysis	analysis	NOUN
cana-804	110	6	issn	issn	NOUN
cana-804	110	7	:	:	PUNCT
cana-804	110	8	1074	1074	NUM
cana-804	110	9	-	-	PUNCT
cana-804	110	10	133x	133x	NUM
cana-804	110	11	vol	vol	NOUN
cana-804	110	12	31	31	NUM
cana-804	110	13	no	no	NOUN
cana-804	110	14	.	.	PUNCT
cana-804	111	1	3s	3s	NUM
cana-804	111	2	(	(	PUNCT
cana-804	111	3	2024	2024	NUM
cana-804	111	4	)	)	PUNCT
cana-804	111	5	507	507	NUM
cana-804	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	111	7	3.dataset	3.dataset	NUM
cana-804	111	8	description	description	NOUN
cana-804	111	9	the	the	DET
cana-804	111	10	"	"	PUNCT
cana-804	111	11	cybersecurity	cybersecurity	NOUN
cana-804	111	12	threat	threat	NOUN
cana-804	111	13	analysis	analysis	NOUN
cana-804	111	14	"	"	PUNCT
cana-804	111	15	kaggle	kaggle	NOUN
cana-804	111	16	collection	collection	NOUN
cana-804	111	17	is	be	AUX
cana-804	111	18	a	a	DET
cana-804	111	19	great	great	ADJ
cana-804	111	20	way	way	NOUN
cana-804	111	21	to	to	PART
cana-804	111	22	learn	learn	VERB
cana-804	111	23	about	about	ADP
cana-804	111	24	and	and	CCONJ
cana-804	111	25	study	study	VERB
cana-804	111	26	cybersecurity	cybersecurity	NOUN
cana-804	111	27	risks	risk	NOUN
cana-804	111	28	.	.	PUNCT
cana-804	112	1	this	this	DET
cana-804	112	2	dataset	dataset	NOUN
cana-804	112	3	has	have	VERB
cana-804	112	4	different	different	ADJ
cana-804	112	5	information	information	NOUN
cana-804	112	6	about	about	ADP
cana-804	112	7	network	network	NOUN
cana-804	112	8	traffic	traffic	NOUN
cana-804	112	9	,	,	PUNCT
cana-804	112	10	like	like	ADP
cana-804	112	11	source	source	NOUN
cana-804	112	12	and	and	CCONJ
cana-804	112	13	target	target	VERB
cana-804	112	14	ip	ip	DET
cana-804	112	15	addresses	address	NOUN
cana-804	112	16	,	,	PUNCT
cana-804	112	17	ports	port	NOUN
cana-804	112	18	,	,	PUNCT
cana-804	112	19	protocols	protocol	NOUN
cana-804	112	20	,	,	PUNCT
cana-804	112	21	and	and	CCONJ
cana-804	112	22	timestamps	timestamp	VERB
cana-804	112	23	.	.	PUNCT
cana-804	113	1	it	it	PRON
cana-804	113	2	also	also	ADV
cana-804	113	3	has	have	VERB
cana-804	113	4	a	a	DET
cana-804	113	5	binary	binary	ADJ
cana-804	113	6	label	label	NOUN
cana-804	113	7	that	that	PRON
cana-804	113	8	shows	show	VERB
cana-804	113	9	whether	whether	SCONJ
cana-804	113	10	the	the	DET
cana-804	113	11	network	network	NOUN
cana-804	113	12	traffic	traffic	NOUN
cana-804	113	13	is	be	AUX
cana-804	113	14	good	good	ADJ
cana-804	113	15	or	or	CCONJ
cana-804	113	16	bad	bad	ADJ
cana-804	113	17	.	.	PUNCT
cana-804	114	1	researchers	researcher	NOUN
cana-804	114	2	and	and	CCONJ
cana-804	114	3	professionals	professional	NOUN
cana-804	114	4	can	can	AUX
cana-804	114	5	use	use	VERB
cana-804	114	6	this	this	DET
cana-804	114	7	information	information	NOUN
cana-804	114	8	for	for	ADP
cana-804	114	9	a	a	DET
cana-804	114	10	number	number	NOUN
cana-804	114	11	of	of	ADP
cana-804	114	12	reasons	reason	NOUN
cana-804	114	13	,	,	PUNCT
cana-804	114	14	such	such	ADJ
cana-804	114	15	as	as	ADP
cana-804	114	16	finding	find	VERB
cana-804	114	17	anomalies	anomaly	NOUN
cana-804	114	18	,	,	PUNCT
cana-804	114	19	detecting	detect	VERB
cana-804	114	20	intrusions	intrusion	NOUN
cana-804	114	21	,	,	PUNCT
cana-804	114	22	and	and	CCONJ
cana-804	114	23	gathering	gather	VERB
cana-804	114	24	danger	danger	NOUN
cana-804	114	25	intelligence	intelligence	NOUN
cana-804	114	26	.	.	PUNCT
cana-804	115	1	machine	machine	NOUN
cana-804	115	2	learning	learning	NOUN
cana-804	115	3	models	model	NOUN
cana-804	115	4	can	can	AUX
cana-804	115	5	be	be	AUX
cana-804	115	6	taught	teach	VERB
cana-804	115	7	to	to	PART
cana-804	115	8	find	find	VERB
cana-804	115	9	and	and	CCONJ
cana-804	115	10	sort	sort	VERB
cana-804	115	11	cyber	cyber	ADJ
cana-804	115	12	risks	risk	NOUN
cana-804	115	13	by	by	ADP
cana-804	115	14	looking	look	VERB
cana-804	115	15	at	at	ADP
cana-804	115	16	the	the	DET
cana-804	115	17	trends	trend	NOUN
cana-804	115	18	and	and	CCONJ
cana-804	115	19	traits	trait	NOUN
cana-804	115	20	of	of	ADP
cana-804	115	21	both	both	CCONJ
cana-804	115	22	good	good	ADJ
cana-804	115	23	and	and	CCONJ
cana-804	115	24	bad	bad	ADJ
cana-804	115	25	network	network	NOUN
cana-804	115	26	data	datum	NOUN
cana-804	115	27	.	.	PUNCT
cana-804	116	1	this	this	DET
cana-804	116	2	information	information	NOUN
cana-804	116	3	also	also	ADV
cana-804	116	4	makes	make	VERB
cana-804	116	5	it	it	PRON
cana-804	116	6	easier	easy	ADJ
cana-804	116	7	to	to	PART
cana-804	116	8	create	create	VERB
cana-804	116	9	and	and	CCONJ
cana-804	116	10	test	test	VERB
cana-804	116	11	new	new	ADJ
cana-804	116	12	protection	protection	NOUN
cana-804	116	13	tools	tool	NOUN
cana-804	116	14	and	and	CCONJ
cana-804	116	15	methods	method	NOUN
cana-804	116	16	.	.	PUNCT
cana-804	117	1	different	different	ADJ
cana-804	117	2	machine	machine	NOUN
cana-804	117	3	learning	learning	NOUN
cana-804	117	4	methods	method	NOUN
cana-804	117	5	,	,	PUNCT
cana-804	117	6	feature	feature	NOUN
cana-804	117	7	engineering	engineering	NOUN
cana-804	117	8	techniques	technique	NOUN
cana-804	117	9	,	,	PUNCT
cana-804	117	10	and	and	CCONJ
cana-804	117	11	model	model	NOUN
cana-804	117	12	evaluation	evaluation	NOUN
cana-804	117	13	measures	measure	NOUN
cana-804	117	14	can	can	AUX
cana-804	117	15	be	be	AUX
cana-804	117	16	tried	try	VERB
cana-804	117	17	by	by	ADP
cana-804	117	18	researchers	researcher	NOUN
cana-804	117	19	to	to	PART
cana-804	117	20	make	make	VERB
cana-804	117	21	defense	defense	NOUN
cana-804	117	22	systems	system	NOUN
cana-804	117	23	more	more	ADV
cana-804	117	24	accurate	accurate	ADJ
cana-804	117	25	and	and	CCONJ
cana-804	117	26	reliable	reliable	ADJ
cana-804	117	27	.	.	PUNCT
cana-804	118	1	however	however	ADV
cana-804	118	2	,	,	PUNCT
cana-804	118	3	it	it	PRON
cana-804	118	4	's	be	AUX
cana-804	118	5	important	important	ADJ
cana-804	118	6	to	to	PART
cana-804	118	7	deal	deal	VERB
cana-804	118	8	with	with	ADP
cana-804	118	9	the	the	DET
cana-804	118	10	problems	problem	NOUN
cana-804	118	11	that	that	PRON
cana-804	118	12	might	might	AUX
cana-804	118	13	come	come	VERB
cana-804	118	14	up	up	ADP
cana-804	118	15	with	with	ADP
cana-804	118	16	this	this	DET
cana-804	118	17	information	information	NOUN
cana-804	118	18	,	,	PUNCT
cana-804	118	19	like	like	ADP
cana-804	118	20	class	class	NOUN
cana-804	118	21	imbalance	imbalance	NOUN
cana-804	118	22	,	,	PUNCT
cana-804	118	23	noise	noise	NOUN
cana-804	118	24	data	datum	NOUN
cana-804	118	25	,	,	PUNCT
cana-804	118	26	and	and	CCONJ
cana-804	118	27	new	new	ADJ
cana-804	118	28	online	online	ADJ
cana-804	118	29	risks	risk	NOUN
cana-804	118	30	.	.	PUNCT
cana-804	119	1	it	it	PRON
cana-804	119	2	's	be	AUX
cana-804	119	3	possible	possible	ADJ
cana-804	119	4	that	that	SCONJ
cana-804	119	5	steps	step	NOUN
cana-804	119	6	like	like	ADP
cana-804	119	7	data	datum	NOUN
cana-804	119	8	cleaning	cleaning	NOUN
cana-804	119	9	,	,	PUNCT
cana-804	119	10	feature	feature	NOUN
cana-804	119	11	scaling	scaling	NOUN
cana-804	119	12	,	,	PUNCT
cana-804	119	13	and	and	CCONJ
cana-804	119	14	class	class	NOUN
cana-804	119	15	balance	balance	NOUN
cana-804	119	16	will	will	AUX
cana-804	119	17	need	need	VERB
cana-804	119	18	to	to	PART
cana-804	119	19	be	be	AUX
cana-804	119	20	done	do	VERB
cana-804	119	21	before	before	ADP
cana-804	119	22	the	the	DET
cana-804	119	23	analysis	analysis	NOUN
cana-804	119	24	and	and	CCONJ
cana-804	119	25	models	model	NOUN
cana-804	119	26	can	can	AUX
cana-804	119	27	work	work	VERB
cana-804	119	28	well	well	ADV
cana-804	119	29	.	.	PUNCT
cana-804	120	1	4.proposed	4.proposed	NUM
cana-804	120	2	methodology	methodology	NOUN
cana-804	120	3	1	1	NUM
cana-804	120	4	.	.	PUNCT
cana-804	120	5	data	datum	NOUN
cana-804	120	6	collection	collection	NOUN
cana-804	120	7	and	and	CCONJ
cana-804	120	8	pre	pre	ADJ
cana-804	120	9	-	-	ADJ
cana-804	120	10	processing	processing	NOUN
cana-804	120	11	:	:	PUNCT
cana-804	120	12	in	in	ADP
cana-804	120	13	cybersecurity	cybersecurity	NOUN
cana-804	120	14	,	,	PUNCT
cana-804	120	15	data	datum	NOUN
cana-804	120	16	collection	collection	NOUN
cana-804	120	17	means	mean	VERB
cana-804	120	18	getting	get	VERB
cana-804	120	19	important	important	ADJ
cana-804	120	20	data	datum	NOUN
cana-804	120	21	from	from	ADP
cana-804	120	22	a	a	DET
cana-804	120	23	lot	lot	NOUN
cana-804	120	24	of	of	ADP
cana-804	120	25	different	different	ADJ
cana-804	120	26	sources	source	NOUN
cana-804	120	27	for	for	ADP
cana-804	120	28	danger	danger	NOUN
cana-804	120	29	intelligence	intelligence	NOUN
cana-804	120	30	research	research	NOUN
cana-804	120	31	.	.	PUNCT
cana-804	121	1	usually	usually	ADV
cana-804	121	2	,	,	PUNCT
cana-804	121	3	this	this	PRON
cana-804	121	4	includes	include	VERB
cana-804	121	5	network	network	NOUN
cana-804	121	6	traffic	traffic	NOUN
cana-804	121	7	logs	log	NOUN
cana-804	121	8	,	,	PUNCT
cana-804	121	9	which	which	PRON
cana-804	121	10	keep	keep	VERB
cana-804	121	11	track	track	NOUN
cana-804	121	12	of	of	ADP
cana-804	121	13	what	what	PRON
cana-804	121	14	devices	device	NOUN
cana-804	121	15	on	on	ADP
cana-804	121	16	a	a	DET
cana-804	121	17	network	network	NOUN
cana-804	121	18	are	be	AUX
cana-804	121	19	saying	say	VERB
cana-804	121	20	to	to	ADP
cana-804	121	21	each	each	DET
cana-804	121	22	other	other	ADJ
cana-804	121	23	and	and	CCONJ
cana-804	121	24	can	can	AUX
cana-804	121	25	help	help	VERB
cana-804	121	26	find	find	VERB
cana-804	121	27	signs	sign	NOUN
cana-804	121	28	of	of	ADP
cana-804	121	29	possible	possible	ADJ
cana-804	121	30	bad	bad	ADJ
cana-804	121	31	behavior	behavior	NOUN
cana-804	121	32	like	like	ADP
cana-804	121	33	data	data	NOUN
cana-804	121	34	theft	theft	NOUN
cana-804	121	35	or	or	CCONJ
cana-804	121	36	illegal	illegal	ADJ
cana-804	121	37	access	access	NOUN
cana-804	121	38	.	.	PUNCT
cana-804	122	1	in	in	ADP
cana-804	122	2	contrast	contrast	NOUN
cana-804	122	3	,	,	PUNCT
cana-804	122	4	system	system	NOUN
cana-804	122	5	logs	log	VERB
cana-804	122	6	record	record	ADJ
cana-804	122	7	events	event	NOUN
cana-804	122	8	and	and	CCONJ
cana-804	122	9	activities	activity	NOUN
cana-804	122	10	that	that	PRON
cana-804	122	11	happen	happen	VERB
cana-804	122	12	within	within	ADP
cana-804	122	13	specific	specific	ADJ
cana-804	122	14	systems	system	NOUN
cana-804	122	15	or	or	CCONJ
cana-804	122	16	devices	device	NOUN
cana-804	122	17	.	.	PUNCT
cana-804	123	1	they	they	PRON
cana-804	123	2	can	can	AUX
cana-804	123	3	tell	tell	VERB
cana-804	123	4	you	you	PRON
cana-804	123	5	a	a	DET
cana-804	123	6	lot	lot	NOUN
cana-804	123	7	about	about	ADP
cana-804	123	8	system	system	NOUN
cana-804	123	9	weaknesses	weakness	NOUN
cana-804	123	10	,	,	PUNCT
cana-804	123	11	user	user	NOUN
cana-804	123	12	actions	action	NOUN
cana-804	123	13	,	,	PUNCT
cana-804	123	14	and	and	CCONJ
cana-804	123	15	program	program	NOUN
cana-804	123	16	installs	install	NOUN
cana-804	123	17	.	.	PUNCT
cana-804	124	1	additionally	additionally	ADV
cana-804	124	2	,	,	PUNCT
cana-804	124	3	threat	threat	NOUN
cana-804	124	4	intelligence	intelligence	NOUN
cana-804	124	5	feeds	feed	VERB
cana-804	124	6	give	give	VERB
cana-804	124	7	organizations	organization	NOUN
cana-804	124	8	real	real	ADJ
cana-804	124	9	-	-	PUNCT
cana-804	124	10	time	time	NOUN
cana-804	124	11	information	information	NOUN
cana-804	124	12	on	on	ADP
cana-804	124	13	known	know	VERB
cana-804	124	14	threats	threat	NOUN
cana-804	124	15	,	,	PUNCT
cana-804	124	16	such	such	ADJ
cana-804	124	17	as	as	ADP
cana-804	124	18	malware	malware	NOUN
cana-804	124	19	codes	code	NOUN
cana-804	124	20	,	,	PUNCT
cana-804	124	21	ip	ip	DET
cana-804	124	22	addresses	address	NOUN
cana-804	124	23	of	of	ADP
cana-804	124	24	rogue	rogue	NOUN
cana-804	124	25	sites	site	NOUN
cana-804	124	26	,	,	PUNCT
cana-804	124	27	and	and	CCONJ
cana-804	124	28	signs	sign	NOUN
cana-804	124	29	of	of	ADP
cana-804	124	30	compromise	compromise	NOUN
cana-804	124	31	(	(	PUNCT
cana-804	124	32	iocs	ioc	NOUN
cana-804	124	33	)	)	PUNCT
cana-804	124	34	.	.	PUNCT
cana-804	125	1	this	this	PRON
cana-804	125	2	lets	let	VERB
cana-804	125	3	them	they	PRON
cana-804	125	4	prepare	prepare	VERB
cana-804	125	5	for	for	ADP
cana-804	125	6	new	new	ADJ
cana-804	125	7	cyber	cyber	NOUN
cana-804	125	8	threats	threat	NOUN
cana-804	125	9	before	before	SCONJ
cana-804	125	10	they	they	PRON
cana-804	125	11	happen	happen	VERB
cana-804	125	12	.	.	PUNCT
cana-804	126	1	the	the	DET
cana-804	126	2	collected	collect	VERB
cana-804	126	3	data	datum	NOUN
cana-804	126	4	and	and	CCONJ
cana-804	126	5	an	an	DET
cana-804	126	6	understanding	understanding	NOUN
cana-804	126	7	of	of	ADP
cana-804	126	8	the	the	DET
cana-804	126	9	organization	organization	NOUN
cana-804	126	10	's	's	PART
cana-804	126	11	cyber	cyber	NOUN
cana-804	126	12	territory	territory	NOUN
cana-804	126	13	can	can	AUX
cana-804	126	14	only	only	ADV
cana-804	126	15	be	be	AUX
cana-804	126	16	understood	understand	VERB
cana-804	126	17	with	with	ADP
cana-804	126	18	the	the	DET
cana-804	126	19	help	help	NOUN
cana-804	126	20	of	of	ADP
cana-804	126	21	contextual	contextual	ADJ
cana-804	126	22	information	information	NOUN
cana-804	126	23	like	like	ADP
cana-804	126	24	network	network	NOUN
cana-804	126	25	setups	setup	NOUN
cana-804	126	26	,	,	PUNCT
cana-804	126	27	asset	asset	NOUN
cana-804	126	28	listings	listing	NOUN
cana-804	126	29	,	,	PUNCT
cana-804	126	30	and	and	CCONJ
cana-804	126	31	user	user	NOUN
cana-804	126	32	profiles	profile	NOUN
cana-804	126	33	.	.	PUNCT
cana-804	127	1	communications	communication	NOUN
cana-804	127	2	on	on	ADP
cana-804	127	3	applied	apply	VERB
cana-804	127	4	nonlinear	nonlinear	ADJ
cana-804	127	5	analysis	analysis	NOUN
cana-804	127	6	issn	issn	NOUN
cana-804	127	7	:	:	PUNCT
cana-804	127	8	1074	1074	NUM
cana-804	127	9	-	-	PUNCT
cana-804	127	10	133x	133x	NUM
cana-804	127	11	vol	vol	NOUN
cana-804	127	12	31	31	NUM
cana-804	127	13	no	no	NOUN
cana-804	127	14	.	.	PUNCT
cana-804	128	1	3s	3s	NUM
cana-804	128	2	(	(	PUNCT
cana-804	128	3	2024	2024	NUM
cana-804	128	4	)	)	PUNCT
cana-804	128	5	508	508	NUM
cana-804	128	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	128	7	figure	figure	NOUN
cana-804	128	8	1	1	NUM
cana-804	128	9	:	:	PUNCT
cana-804	128	10	architectural	architectural	ADJ
cana-804	128	11	block	block	NOUN
cana-804	128	12	diagram	diagram	PROPN
cana-804	128	13	once	once	SCONJ
cana-804	128	14	the	the	DET
cana-804	128	15	data	datum	NOUN
cana-804	128	16	has	have	AUX
cana-804	128	17	been	be	AUX
cana-804	128	18	gathered	gather	VERB
cana-804	128	19	,	,	PUNCT
cana-804	128	20	it	it	PRON
cana-804	128	21	needs	need	VERB
cana-804	128	22	to	to	PART
cana-804	128	23	be	be	AUX
cana-804	128	24	preprocessed	preprocesse	VERB
cana-804	128	25	to	to	PART
cana-804	128	26	make	make	VERB
cana-804	128	27	sure	sure	ADJ
cana-804	128	28	it	it	PRON
cana-804	128	29	is	be	AUX
cana-804	128	30	good	good	ADJ
cana-804	128	31	enough	enough	ADV
cana-804	128	32	to	to	PART
cana-804	128	33	be	be	AUX
cana-804	128	34	analyzed	analyze	VERB
cana-804	128	35	.	.	PUNCT
cana-804	129	1	this	this	PRON
cana-804	129	2	has	have	VERB
cana-804	129	3	several	several	ADJ
cana-804	129	4	steps	step	NOUN
cana-804	129	5	,	,	PUNCT
cana-804	129	6	one	one	NUM
cana-804	129	7	of	of	ADP
cana-804	129	8	which	which	PRON
cana-804	129	9	is	be	AUX
cana-804	129	10	cleaning	clean	VERB
cana-804	129	11	the	the	DET
cana-804	129	12	data	datum	NOUN
cana-804	129	13	to	to	PART
cana-804	129	14	get	get	AUX
cana-804	129	15	rid	rid	VERB
cana-804	129	16	of	of	ADP
cana-804	129	17	any	any	DET
cana-804	129	18	mistakes	mistake	NOUN
cana-804	129	19	,	,	PUNCT
cana-804	129	20	inconsistencies	inconsistency	NOUN
cana-804	129	21	,	,	PUNCT
cana-804	129	22	or	or	CCONJ
cana-804	129	23	outliers	outlier	NOUN
cana-804	129	24	that	that	PRON
cana-804	129	25	might	might	AUX
cana-804	129	26	change	change	VERB
cana-804	129	27	the	the	DET
cana-804	129	28	results	result	NOUN
cana-804	129	29	of	of	ADP
cana-804	129	30	the	the	DET
cana-804	129	31	study	study	NOUN
cana-804	129	32	.	.	PUNCT
cana-804	130	1	normalization	normalization	NOUN
cana-804	130	2	is	be	AUX
cana-804	130	3	used	use	VERB
cana-804	130	4	to	to	PART
cana-804	130	5	make	make	VERB
cana-804	130	6	the	the	DET
cana-804	130	7	structure	structure	NOUN
cana-804	130	8	and	and	CCONJ
cana-804	130	9	size	size	NOUN
cana-804	130	10	of	of	ADP
cana-804	130	11	data	datum	NOUN
cana-804	130	12	more	more	ADV
cana-804	130	13	consistent	consistent	ADJ
cana-804	130	14	,	,	PUNCT
cana-804	130	15	which	which	PRON
cana-804	130	16	makes	make	VERB
cana-804	130	17	it	it	PRON
cana-804	130	18	easier	easy	ADJ
cana-804	130	19	to	to	PART
cana-804	130	20	compare	compare	VERB
cana-804	130	21	and	and	CCONJ
cana-804	130	22	analyze	analyze	VERB
cana-804	130	23	data	datum	NOUN
cana-804	130	24	from	from	ADP
cana-804	130	25	different	different	ADJ
cana-804	130	26	sources	source	NOUN
cana-804	130	27	.	.	PUNCT
cana-804	131	1	the	the	DET
cana-804	131	2	process	process	NOUN
cana-804	131	3	of	of	ADP
cana-804	131	4	feature	feature	NOUN
cana-804	131	5	engineering	engineering	NOUN
cana-804	131	6	includes	include	VERB
cana-804	131	7	picking	pick	VERB
cana-804	131	8	out	out	ADP
cana-804	131	9	,	,	PUNCT
cana-804	131	10	removing	remove	VERB
cana-804	131	11	,	,	PUNCT
cana-804	131	12	or	or	CCONJ
cana-804	131	13	changing	change	VERB
cana-804	131	14	important	important	ADJ
cana-804	131	15	parts	part	NOUN
cana-804	131	16	of	of	ADP
cana-804	131	17	raw	raw	ADJ
cana-804	131	18	data	datum	NOUN
cana-804	131	19	in	in	ADP
cana-804	131	20	order	order	NOUN
cana-804	131	21	to	to	PART
cana-804	131	22	make	make	VERB
cana-804	131	23	factors	factor	NOUN
cana-804	131	24	that	that	PRON
cana-804	131	25	can	can	AUX
cana-804	131	26	be	be	AUX
cana-804	131	27	used	use	VERB
cana-804	131	28	to	to	PART
cana-804	131	29	find	find	VERB
cana-804	131	30	trends	trend	NOUN
cana-804	131	31	or	or	CCONJ
cana-804	131	32	traits	trait	NOUN
cana-804	131	33	of	of	ADP
cana-804	131	34	cyber	cyber	ADJ
cana-804	131	35	risks	risk	NOUN
cana-804	131	36	.	.	PUNCT
cana-804	132	1	for	for	ADP
cana-804	132	2	example	example	NOUN
cana-804	132	3	,	,	PUNCT
cana-804	132	4	getting	get	VERB
cana-804	132	5	information	information	NOUN
cana-804	132	6	from	from	ADP
cana-804	132	7	network	network	NOUN
cana-804	132	8	traffic	traffic	NOUN
cana-804	132	9	logs	log	NOUN
cana-804	132	10	like	like	ADP
cana-804	132	11	source	source	NOUN
cana-804	132	12	ip	ip	DET
cana-804	132	13	addresses	address	NOUN
cana-804	132	14	,	,	PUNCT
cana-804	132	15	target	target	NOUN
cana-804	132	16	ports	port	NOUN
cana-804	132	17	,	,	PUNCT
cana-804	132	18	and	and	CCONJ
cana-804	132	19	protocol	protocol	NOUN
cana-804	132	20	types	type	NOUN
cana-804	132	21	can	can	AUX
cana-804	132	22	help	help	VERB
cana-804	132	23	you	you	PRON
cana-804	132	24	figure	figure	VERB
cana-804	132	25	out	out	ADP
cana-804	132	26	how	how	SCONJ
cana-804	132	27	people	people	NOUN
cana-804	132	28	are	be	AUX
cana-804	132	29	communicating	communicate	VERB
cana-804	132	30	and	and	CCONJ
cana-804	132	31	spot	spot	VERB
cana-804	132	32	possible	possible	ADJ
cana-804	132	33	security	security	NOUN
cana-804	132	34	holes	hole	NOUN
cana-804	132	35	.	.	PUNCT
cana-804	133	1	overall	overall	ADJ
cana-804	133	2	,	,	PUNCT
cana-804	133	3	gathering	gather	VERB
cana-804	133	4	data	datum	NOUN
cana-804	133	5	and	and	CCONJ
cana-804	133	6	preparing	prepare	VERB
cana-804	133	7	it	it	PRON
cana-804	133	8	make	make	VERB
cana-804	133	9	threat	threat	NOUN
cana-804	133	10	intelligence	intelligence	NOUN
cana-804	133	11	analysis	analysis	NOUN
cana-804	133	12	possible	possible	ADJ
cana-804	133	13	by	by	ADP
cana-804	133	14	making	make	VERB
cana-804	133	15	sure	sure	ADJ
cana-804	133	16	the	the	DET
cana-804	133	17	data	data	NOUN
cana-804	133	18	is	be	AUX
cana-804	133	19	full	full	ADJ
cana-804	133	20	,	,	PUNCT
cana-804	133	21	consistent	consistent	ADJ
cana-804	133	22	,	,	PUNCT
cana-804	133	23	and	and	CCONJ
cana-804	133	24	usable	usable	ADJ
cana-804	133	25	from	from	ADP
cana-804	133	26	various	various	ADJ
cana-804	133	27	sources	source	NOUN
cana-804	133	28	.	.	PUNCT
cana-804	134	1	by	by	ADP
cana-804	134	2	using	use	VERB
cana-804	134	3	strict	strict	ADJ
cana-804	134	4	preparation	preparation	NOUN
cana-804	134	5	methods	method	NOUN
cana-804	134	6	on	on	ADP
cana-804	134	7	data	datum	NOUN
cana-804	134	8	from	from	ADP
cana-804	134	9	a	a	DET
cana-804	134	10	variety	variety	NOUN
cana-804	134	11	of	of	ADP
cana-804	134	12	sources	source	NOUN
cana-804	134	13	,	,	PUNCT
cana-804	134	14	organizations	organization	NOUN
cana-804	134	15	can	can	AUX
cana-804	134	16	get	get	VERB
cana-804	134	17	useful	useful	ADJ
cana-804	134	18	insights	insight	NOUN
cana-804	134	19	that	that	SCONJ
cana-804	134	20	they	they	PRON
cana-804	134	21	can	can	AUX
cana-804	134	22	use	use	VERB
cana-804	134	23	to	to	PART
cana-804	134	24	protect	protect	VERB
cana-804	134	25	themselves	themselves	PRON
cana-804	134	26	from	from	ADP
cana-804	134	27	online	online	ADJ
cana-804	134	28	dangers	danger	NOUN
cana-804	134	29	.	.	PUNCT
cana-804	135	1	2	2	X
cana-804	135	2	.	.	X
cana-804	135	3	feature	feature	NOUN
cana-804	135	4	extraction	extraction	NOUN
cana-804	135	5	:	:	PUNCT
cana-804	135	6	getting	get	VERB
cana-804	135	7	useful	useful	ADJ
cana-804	135	8	information	information	NOUN
cana-804	135	9	about	about	ADP
cana-804	135	10	cyber	cyber	NOUN
cana-804	135	11	organizations	organization	NOUN
cana-804	135	12	and	and	CCONJ
cana-804	135	13	how	how	SCONJ
cana-804	135	14	they	they	PRON
cana-804	135	15	communicate	communicate	VERB
cana-804	135	16	with	with	ADP
cana-804	135	17	each	each	DET
cana-804	135	18	other	other	ADJ
cana-804	135	19	from	from	ADP
cana-804	135	20	a	a	DET
cana-804	135	21	graph	graph	NOUN
cana-804	135	22	model	model	NOUN
cana-804	135	23	of	of	ADP
cana-804	135	24	cybersecurity	cybersecurity	NOUN
cana-804	135	25	data	datum	NOUN
cana-804	135	26	is	be	AUX
cana-804	135	27	called	call	VERB
cana-804	135	28	feature	feature	NOUN
cana-804	135	29	extraction	extraction	NOUN
cana-804	135	30	.	.	PUNCT
cana-804	136	1	graph	graph	NOUN
cana-804	136	2	-	-	PUNCT
cana-804	136	3	based	base	VERB
cana-804	136	4	measurements	measurement	NOUN
cana-804	136	5	and	and	CCONJ
cana-804	136	6	methods	method	NOUN
cana-804	136	7	are	be	AUX
cana-804	136	8	very	very	ADV
cana-804	136	9	important	important	ADJ
cana-804	136	10	to	to	ADP
cana-804	136	11	this	this	DET
cana-804	136	12	process	process	NOUN
cana-804	136	13	because	because	SCONJ
cana-804	136	14	they	they	PRON
cana-804	136	15	let	let	VERB
cana-804	136	16	us	we	PRON
cana-804	136	17	figure	figure	VERB
cana-804	136	18	out	out	ADP
cana-804	136	19	the	the	DET
cana-804	136	20	network	network	NOUN
cana-804	136	21	's	's	PART
cana-804	136	22	structure	structure	NOUN
cana-804	136	23	,	,	PUNCT
cana-804	136	24	connectedness	connectedness	NOUN
cana-804	136	25	,	,	PUNCT
cana-804	136	26	and	and	CCONJ
cana-804	136	27	community	community	NOUN
cana-804	136	28	structures	structure	NOUN
cana-804	136	29	.	.	PUNCT
cana-804	137	1	the	the	DET
cana-804	137	2	way	way	NOUN
cana-804	137	3	a	a	DET
cana-804	137	4	network	network	NOUN
cana-804	137	5	is	be	AUX
cana-804	137	6	organized	organize	VERB
cana-804	137	7	and	and	CCONJ
cana-804	137	8	linked	link	VERB
cana-804	137	9	can	can	AUX
cana-804	137	10	be	be	AUX
cana-804	137	11	figured	figure	VERB
cana-804	137	12	out	out	ADP
cana-804	137	13	by	by	ADP
cana-804	137	14	looking	look	VERB
cana-804	137	15	at	at	ADP
cana-804	137	16	its	its	PRON
cana-804	137	17	structural	structural	ADJ
cana-804	137	18	features	feature	NOUN
cana-804	137	19	.	.	PUNCT
cana-804	138	1	the	the	DET
cana-804	138	2	structure	structure	NOUN
cana-804	138	3	of	of	ADP
cana-804	138	4	the	the	DET
cana-804	138	5	graph	graph	NOUN
cana-804	138	6	is	be	AUX
cana-804	138	7	shown	show	VERB
cana-804	138	8	by	by	ADP
cana-804	138	9	metrics	metric	NOUN
cana-804	138	10	like	like	ADP
cana-804	138	11	node	node	NOUN
cana-804	138	12	degree	degree	NOUN
cana-804	138	13	,	,	PUNCT
cana-804	138	14	clustering	clustering	ADJ
cana-804	138	15	coefficient	coefficient	NOUN
cana-804	138	16	,	,	PUNCT
cana-804	138	17	and	and	CCONJ
cana-804	138	18	average	average	ADJ
cana-804	138	19	path	path	NOUN
cana-804	138	20	length	length	NOUN
cana-804	138	21	.	.	PUNCT
cana-804	139	1	these	these	PRON
cana-804	139	2	show	show	VERB
cana-804	139	3	where	where	SCONJ
cana-804	139	4	the	the	DET
cana-804	139	5	graph	graph	NOUN
cana-804	139	6	might	might	AUX
cana-804	139	7	be	be	AUX
cana-804	139	8	weak	weak	ADJ
cana-804	139	9	or	or	CCONJ
cana-804	139	10	acting	act	VERB
cana-804	139	11	strangely	strangely	ADV
cana-804	140	1	[	[	X
cana-804	140	2	22	22	NUM
cana-804	140	3	]	]	PUNCT
cana-804	140	4	.	.	PUNCT
cana-804	141	1	for	for	ADP
cana-804	141	2	example	example	NOUN
cana-804	141	3	,	,	PUNCT
cana-804	141	4	nodes	node	NOUN
cana-804	141	5	with	with	ADP
cana-804	141	6	high	high	ADJ
cana-804	141	7	degrees	degree	NOUN
cana-804	141	8	may	may	AUX
cana-804	141	9	be	be	AUX
cana-804	141	10	important	important	ADJ
cana-804	141	11	network	network	NOUN
cana-804	141	12	assets	asset	NOUN
cana-804	141	13	or	or	CCONJ
cana-804	141	14	hubs	hub	NOUN
cana-804	141	15	of	of	ADP
cana-804	141	16	activity	activity	NOUN
cana-804	141	17	,	,	PUNCT
cana-804	141	18	while	while	SCONJ
cana-804	141	19	nodes	node	NOUN
cana-804	141	20	with	with	ADP
cana-804	141	21	low	low	ADJ
cana-804	141	22	clustering	clustering	ADJ
cana-804	141	23	coefficients	coefficient	NOUN
cana-804	141	24	may	may	AUX
cana-804	141	25	have	have	VERB
cana-804	141	26	parts	part	NOUN
cana-804	141	27	that	that	PRON
cana-804	141	28	are	be	AUX
cana-804	141	29	not	not	PART
cana-804	141	30	related	relate	VERB
cana-804	141	31	to	to	ADP
cana-804	141	32	communications	communication	NOUN
cana-804	141	33	on	on	ADP
cana-804	141	34	applied	apply	VERB
cana-804	141	35	nonlinear	nonlinear	ADJ
cana-804	141	36	analysis	analysis	NOUN
cana-804	141	37	issn	issn	NOUN
cana-804	141	38	:	:	PUNCT
cana-804	141	39	1074	1074	NUM
cana-804	141	40	-	-	PUNCT
cana-804	141	41	133x	133x	NUM
cana-804	141	42	vol	vol	NOUN
cana-804	141	43	31	31	NUM
cana-804	141	44	no	no	NOUN
cana-804	141	45	.	.	PUNCT
cana-804	142	1	3s	3s	NUM
cana-804	142	2	(	(	PUNCT
cana-804	142	3	2024	2024	NUM
cana-804	142	4	)	)	PUNCT
cana-804	142	5	509	509	NUM
cana-804	142	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	142	7	each	each	DET
cana-804	142	8	other	other	ADJ
cana-804	142	9	.	.	PUNCT
cana-804	143	1	based	base	VERB
cana-804	143	2	on	on	ADP
cana-804	143	3	how	how	SCONJ
cana-804	143	4	important	important	ADJ
cana-804	143	5	or	or	CCONJ
cana-804	143	6	prominent	prominent	ADJ
cana-804	143	7	they	they	PRON
cana-804	143	8	are	be	AUX
cana-804	143	9	in	in	ADP
cana-804	143	10	making	make	VERB
cana-804	143	11	contact	contact	NOUN
cana-804	143	12	and	and	CCONJ
cana-804	143	13	information	information	NOUN
cana-804	143	14	move	move	NOUN
cana-804	143	15	,	,	PUNCT
cana-804	143	16	centrality	centrality	NOUN
cana-804	143	17	measures	measure	NOUN
cana-804	143	18	find	find	VERB
cana-804	143	19	the	the	DET
cana-804	143	20	most	most	ADV
cana-804	143	21	important	important	ADJ
cana-804	143	22	points	point	NOUN
cana-804	143	23	in	in	ADP
cana-804	143	24	the	the	DET
cana-804	143	25	network	network	NOUN
cana-804	143	26	.	.	PUNCT
cana-804	143	27	degree	degree	NOUN
cana-804	143	28	centrality	centrality	NOUN
cana-804	143	29	,	,	PUNCT
cana-804	143	30	which	which	PRON
cana-804	143	31	counts	count	VERB
cana-804	143	32	how	how	SCONJ
cana-804	143	33	many	many	ADJ
cana-804	143	34	ties	tie	NOUN
cana-804	143	35	a	a	DET
cana-804	143	36	node	node	NOUN
cana-804	143	37	has	have	VERB
cana-804	143	38	,	,	PUNCT
cana-804	143	39	and	and	CCONJ
cana-804	143	40	betweenness	betweenness	NOUN
cana-804	143	41	centrality	centrality	NOUN
cana-804	143	42	,	,	PUNCT
cana-804	143	43	which	which	PRON
cana-804	143	44	counts	count	VERB
cana-804	143	45	how	how	SCONJ
cana-804	143	46	well	well	ADV
cana-804	143	47	a	a	DET
cana-804	143	48	node	node	NOUN
cana-804	143	49	acts	act	VERB
cana-804	143	50	as	as	ADP
cana-804	143	51	a	a	DET
cana-804	143	52	link	link	NOUN
cana-804	143	53	between	between	ADP
cana-804	143	54	other	other	ADJ
cana-804	143	55	nodes	node	NOUN
cana-804	143	56	,	,	PUNCT
cana-804	143	57	are	be	AUX
cana-804	143	58	two	two	NUM
cana-804	143	59	common	common	ADJ
cana-804	143	60	ways	way	NOUN
cana-804	143	61	to	to	PART
cana-804	143	62	measure	measure	VERB
cana-804	143	63	centrality	centrality	NOUN
cana-804	143	64	.	.	PUNCT
cana-804	144	1	organizations	organization	NOUN
cana-804	144	2	can	can	AUX
cana-804	144	3	focus	focus	VERB
cana-804	144	4	their	their	PRON
cana-804	144	5	security	security	NOUN
cana-804	144	6	efforts	effort	NOUN
cana-804	144	7	and	and	CCONJ
cana-804	144	8	keep	keep	VERB
cana-804	144	9	an	an	DET
cana-804	144	10	eye	eye	NOUN
cana-804	144	11	on	on	ADP
cana-804	144	12	possible	possible	ADJ
cana-804	144	13	places	place	NOUN
cana-804	144	14	of	of	ADP
cana-804	144	15	attack	attack	NOUN
cana-804	144	16	or	or	CCONJ
cana-804	144	17	exposure	exposure	NOUN
cana-804	144	18	by	by	ADP
cana-804	144	19	figuring	figure	VERB
cana-804	144	20	out	out	ADP
cana-804	144	21	where	where	SCONJ
cana-804	144	22	the	the	DET
cana-804	144	23	key	key	ADJ
cana-804	144	24	nodes	node	NOUN
cana-804	144	25	are	be	AUX
cana-804	144	26	.	.	PUNCT
cana-804	145	1	based	base	VERB
cana-804	145	2	on	on	ADP
cana-804	145	3	how	how	SCONJ
cana-804	145	4	well	well	ADV
cana-804	145	5	nodes	node	NOUN
cana-804	145	6	are	be	AUX
cana-804	145	7	connected	connect	VERB
cana-804	145	8	to	to	ADP
cana-804	145	9	each	each	DET
cana-804	145	10	other	other	ADJ
cana-804	145	11	,	,	PUNCT
cana-804	145	12	community	community	NOUN
cana-804	145	13	recognition	recognition	NOUN
cana-804	145	14	methods	method	NOUN
cana-804	145	15	divide	divide	VERB
cana-804	145	16	the	the	DET
cana-804	145	17	network	network	NOUN
cana-804	145	18	into	into	ADP
cana-804	145	19	communities	community	NOUN
cana-804	145	20	that	that	PRON
cana-804	145	21	work	work	VERB
cana-804	145	22	well	well	ADV
cana-804	145	23	together	together	ADV
cana-804	145	24	.	.	PUNCT
cana-804	146	1	these	these	DET
cana-804	146	2	communities	community	NOUN
cana-804	146	3	could	could	AUX
cana-804	146	4	be	be	AUX
cana-804	146	5	functional	functional	ADJ
cana-804	146	6	units	unit	NOUN
cana-804	146	7	,	,	PUNCT
cana-804	146	8	organizational	organizational	ADJ
cana-804	146	9	areas	area	NOUN
cana-804	146	10	,	,	PUNCT
cana-804	146	11	or	or	CCONJ
cana-804	146	12	groups	group	NOUN
cana-804	146	13	of	of	ADP
cana-804	146	14	people	people	NOUN
cana-804	146	15	in	in	ADP
cana-804	146	16	the	the	DET
cana-804	146	17	network	network	NOUN
cana-804	146	18	who	who	PRON
cana-804	146	19	act	act	VERB
cana-804	146	20	in	in	ADP
cana-804	146	21	similar	similar	ADJ
cana-804	146	22	ways	way	NOUN
cana-804	146	23	.	.	PUNCT
cana-804	147	1	by	by	ADP
cana-804	147	2	revealing	reveal	VERB
cana-804	147	3	these	these	DET
cana-804	147	4	basic	basic	ADJ
cana-804	147	5	structures	structure	NOUN
cana-804	147	6	,	,	PUNCT
cana-804	147	7	businesses	business	NOUN
cana-804	147	8	can	can	AUX
cana-804	147	9	learn	learn	VERB
cana-804	147	10	more	more	ADJ
cana-804	147	11	about	about	ADP
cana-804	147	12	how	how	SCONJ
cana-804	147	13	their	their	PRON
cana-804	147	14	network	network	NOUN
cana-804	147	15	is	be	AUX
cana-804	147	16	divided	divide	VERB
cana-804	147	17	and	and	CCONJ
cana-804	147	18	find	find	VERB
cana-804	147	19	groups	group	NOUN
cana-804	147	20	of	of	ADP
cana-804	147	21	nodes	node	NOUN
cana-804	147	22	that	that	PRON
cana-804	147	23	connect	connect	VERB
cana-804	147	24	or	or	CCONJ
cana-804	147	25	talk	talk	VERB
cana-804	147	26	to	to	ADP
cana-804	147	27	each	each	DET
cana-804	147	28	other	other	ADJ
cana-804	147	29	in	in	ADP
cana-804	147	30	similar	similar	ADJ
cana-804	147	31	ways	way	NOUN
cana-804	147	32	.	.	PUNCT
cana-804	148	1	it	it	PRON
cana-804	148	2	is	be	AUX
cana-804	148	3	very	very	ADV
cana-804	148	4	helpful	helpful	ADJ
cana-804	148	5	to	to	PART
cana-804	148	6	have	have	VERB
cana-804	148	7	this	this	DET
cana-804	148	8	knowledge	knowledge	NOUN
cana-804	148	9	when	when	SCONJ
cana-804	148	10	looking	look	VERB
cana-804	148	11	for	for	ADP
cana-804	148	12	insider	insider	NOUN
cana-804	148	13	risks	risk	NOUN
cana-804	148	14	,	,	PUNCT
cana-804	148	15	rogue	rogue	NOUN
cana-804	148	16	devices	device	NOUN
cana-804	148	17	,	,	PUNCT
cana-804	148	18	or	or	CCONJ
cana-804	148	19	planned	plan	VERB
cana-804	148	20	attack	attack	NOUN
cana-804	148	21	operations	operation	NOUN
cana-804	148	22	.	.	PUNCT
cana-804	149	1	3	3	X
cana-804	149	2	.	.	X
cana-804	149	3	machine	machine	NOUN
cana-804	149	4	learning	learning	NOUN
cana-804	149	5	model	model	NOUN
cana-804	149	6	:	:	PUNCT
cana-804	149	7	a.	a.	NOUN
cana-804	149	8	random	random	PROPN
cana-804	149	9	forest	forest	NOUN
cana-804	149	10	for	for	ADP
cana-804	149	11	classification	classification	NOUN
cana-804	149	12	:	:	PUNCT
cana-804	149	13	random	random	ADJ
cana-804	149	14	forest	forest	NOUN
cana-804	149	15	is	be	AUX
cana-804	149	16	an	an	DET
cana-804	149	17	ensemble	ensemble	ADJ
cana-804	149	18	learning	learning	NOUN
cana-804	149	19	method	method	NOUN
cana-804	149	20	that	that	PRON
cana-804	149	21	is	be	AUX
cana-804	149	22	used	use	VERB
cana-804	149	23	to	to	PART
cana-804	149	24	sort	sort	VERB
cana-804	149	25	things	thing	NOUN
cana-804	149	26	into	into	ADP
cana-804	149	27	groups	group	NOUN
cana-804	149	28	.	.	PUNCT
cana-804	150	1	it	it	PRON
cana-804	150	2	works	work	VERB
cana-804	150	3	by	by	ADP
cana-804	150	4	building	build	VERB
cana-804	150	5	many	many	ADJ
cana-804	150	6	decision	decision	NOUN
cana-804	150	7	trees	tree	NOUN
cana-804	150	8	during	during	ADP
cana-804	150	9	training	training	NOUN
cana-804	150	10	and	and	CCONJ
cana-804	150	11	then	then	ADV
cana-804	150	12	showing	show	VERB
cana-804	150	13	the	the	DET
cana-804	150	14	class	class	NOUN
cana-804	150	15	that	that	PRON
cana-804	150	16	is	be	AUX
cana-804	150	17	the	the	DET
cana-804	150	18	average	average	NOUN
cana-804	150	19	of	of	ADP
cana-804	150	20	the	the	DET
cana-804	150	21	classes	class	NOUN
cana-804	150	22	(	(	PUNCT
cana-804	150	23	classification	classification	NOUN
cana-804	150	24	)	)	PUNCT
cana-804	150	25	or	or	CCONJ
cana-804	150	26	the	the	DET
cana-804	150	27	average	average	ADJ
cana-804	150	28	forecast	forecast	NOUN
cana-804	150	29	(	(	PUNCT
cana-804	150	30	regression	regression	NOUN
cana-804	150	31	)	)	PUNCT
cana-804	150	32	of	of	ADP
cana-804	150	33	the	the	DET
cana-804	150	34	different	different	ADJ
cana-804	150	35	trees	tree	NOUN
cana-804	150	36	.	.	PUNCT
cana-804	151	1	in	in	ADP
cana-804	151	2	the	the	DET
cana-804	151	3	random	random	ADJ
cana-804	151	4	forest	forest	NOUN
cana-804	151	5	,	,	PUNCT
cana-804	151	6	each	each	DET
cana-804	151	7	decision	decision	NOUN
cana-804	151	8	tree	tree	NOUN
cana-804	151	9	is	be	AUX
cana-804	151	10	learned	learn	VERB
cana-804	151	11	on	on	ADP
cana-804	151	12	a	a	DET
cana-804	151	13	different	different	ADJ
cana-804	151	14	set	set	NOUN
cana-804	151	15	of	of	ADP
cana-804	151	16	training	training	NOUN
cana-804	151	17	data	datum	NOUN
cana-804	151	18	and	and	CCONJ
cana-804	151	19	features	feature	NOUN
cana-804	151	20	.	.	PUNCT
cana-804	152	1	this	this	PRON
cana-804	152	2	gives	give	VERB
cana-804	152	3	the	the	DET
cana-804	152	4	ensemble	ensemble	ADJ
cana-804	152	5	some	some	DET
cana-804	152	6	randomness	randomness	NOUN
cana-804	152	7	and	and	CCONJ
cana-804	152	8	variety	variety	NOUN
cana-804	152	9	.	.	PUNCT
cana-804	153	1	when	when	SCONJ
cana-804	153	2	projection	projection	NOUN
cana-804	153	3	is	be	AUX
cana-804	153	4	being	be	AUX
cana-804	153	5	made	make	VERB
cana-804	153	6	,	,	PUNCT
cana-804	153	7	each	each	DET
cana-804	153	8	tree	tree	NOUN
cana-804	153	9	in	in	ADP
cana-804	153	10	the	the	DET
cana-804	153	11	forest	forest	NOUN
cana-804	153	12	gives	give	VERB
cana-804	153	13	a	a	DET
cana-804	153	14	vote	vote	NOUN
cana-804	153	15	for	for	ADP
cana-804	153	16	the	the	DET
cana-804	153	17	input	input	NOUN
cana-804	153	18	class	class	NOUN
cana-804	153	19	.	.	PUNCT
cana-804	154	1	the	the	DET
cana-804	154	2	class	class	NOUN
cana-804	154	3	that	that	PRON
cana-804	154	4	gets	get	VERB
cana-804	154	5	the	the	DET
cana-804	154	6	most	most	ADJ
cana-804	154	7	votes	vote	NOUN
cana-804	154	8	is	be	AUX
cana-804	154	9	picked	pick	VERB
cana-804	154	10	as	as	ADP
cana-804	154	11	the	the	DET
cana-804	154	12	final	final	ADJ
cana-804	154	13	prediction	prediction	NOUN
cana-804	154	14	.	.	PUNCT
cana-804	155	1	figure	figure	NOUN
cana-804	155	2	2	2	NUM
cana-804	155	3	:	:	PUNCT
cana-804	155	4	representation	representation	NOUN
cana-804	155	5	of	of	ADP
cana-804	155	6	machine	machine	NOUN
cana-804	155	7	learning	learning	NOUN
cana-804	155	8	model	model	NOUN
cana-804	155	9	selection	selection	NOUN
cana-804	155	10	proposed	propose	VERB
cana-804	155	11	random	random	ADJ
cana-804	155	12	forest	forest	NOUN
cana-804	155	13	algorithm	algorithm	NOUN
cana-804	155	14	is	be	AUX
cana-804	155	15	as	as	SCONJ
cana-804	155	16	follows	follow	VERB
cana-804	155	17	step	step	NOUN
cana-804	155	18	1	1	NUM
cana-804	155	19	:	:	PUNCT
cana-804	155	20	random	random	ADJ
cana-804	155	21	sampling	sampling	NOUN
cana-804	155	22	of	of	ADP
cana-804	155	23	training	training	NOUN
cana-804	155	24	data	datum	NOUN
cana-804	155	25	:	:	PUNCT
cana-804	155	26	communications	communication	NOUN
cana-804	155	27	on	on	ADP
cana-804	155	28	applied	apply	VERB
cana-804	155	29	nonlinear	nonlinear	ADJ
cana-804	155	30	analysis	analysis	NOUN
cana-804	155	31	issn	issn	NOUN
cana-804	155	32	:	:	PUNCT
cana-804	155	33	1074	1074	NUM
cana-804	155	34	-	-	PUNCT
cana-804	155	35	133x	133x	NUM
cana-804	155	36	vol	vol	NOUN
cana-804	155	37	31	31	NUM
cana-804	155	38	no	no	NOUN
cana-804	155	39	.	.	PUNCT
cana-804	156	1	3s	3s	NUM
cana-804	156	2	(	(	PUNCT
cana-804	156	3	2024	2024	NUM
cana-804	156	4	)	)	PUNCT
cana-804	156	5	510	510	NUM
cana-804	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	156	7	randomly	randomly	ADV
cana-804	156	8	select	select	VERB
cana-804	156	9	a	a	DET
cana-804	156	10	subset	subset	NOUN
cana-804	156	11	of	of	ADP
cana-804	156	12	training	training	NOUN
cana-804	156	13	data	datum	NOUN
cana-804	156	14	with	with	ADP
cana-804	156	15	replacement	replacement	NOUN
cana-804	156	16	.	.	PUNCT
cana-804	157	1	di={(x1,y1),(x2,y2),	di={(x1,y1),(x2,y2),	PROPN
cana-804	157	2	...	...	PUNCT
cana-804	157	3	,(xm	,(xm	PROPN
cana-804	157	4	,	,	PUNCT
cana-804	157	5	ym	ym	PROPN
cana-804	157	6	)	)	PUNCT
cana-804	157	7	}	}	PUNCT
cana-804	157	8	where	where	SCONJ
cana-804	157	9	di	di	NOUN
cana-804	157	10	represents	represent	VERB
cana-804	157	11	the	the	DET
cana-804	157	12	randomly	randomly	ADV
cana-804	157	13	sampled	sample	VERB
cana-804	157	14	subset	subset	NOUN
cana-804	157	15	of	of	ADP
cana-804	157	16	the	the	DET
cana-804	157	17	training	training	NOUN
cana-804	157	18	data	datum	NOUN
cana-804	157	19	,	,	PUNCT
cana-804	157	20	and	and	CCONJ
cana-804	157	21	𝑚	𝑚	PROPN
cana-804	157	22	is	be	AUX
cana-804	157	23	the	the	DET
cana-804	157	24	total	total	ADJ
cana-804	157	25	number	number	NOUN
cana-804	157	26	of	of	ADP
cana-804	157	27	training	training	NOUN
cana-804	157	28	instances	instance	NOUN
cana-804	157	29	.	.	PUNCT
cana-804	158	1	step	step	NOUN
cana-804	158	2	2	2	NUM
cana-804	158	3	:	:	PUNCT
cana-804	158	4	random	random	ADJ
cana-804	158	5	feature	feature	NOUN
cana-804	158	6	selection	selection	NOUN
cana-804	158	7	:	:	PUNCT
cana-804	158	8	randomly	randomly	ADV
cana-804	158	9	select	select	VERB
cana-804	158	10	a	a	DET
cana-804	158	11	subset	subset	NOUN
cana-804	158	12	of	of	ADP
cana-804	158	13	features	feature	NOUN
cana-804	158	14	at	at	ADP
cana-804	158	15	each	each	DET
cana-804	158	16	node	node	NOUN
cana-804	158	17	of	of	ADP
cana-804	158	18	the	the	DET
cana-804	158	19	decision	decision	NOUN
cana-804	158	20	tree	tree	NOUN
cana-804	158	21	.	.	PUNCT
cana-804	159	1	fi={fi1,fi2,	fi={fi1,fi2,	X
cana-804	159	2	...	...	PUNCT
cana-804	159	3	,fik	,fik	PUNCT
cana-804	159	4	}	}	PUNCT
cana-804	159	5	where	where	SCONJ
cana-804	159	6	fi	fi	NOUN
cana-804	159	7	represents	represent	VERB
cana-804	159	8	the	the	DET
cana-804	159	9	randomly	randomly	ADV
cana-804	159	10	selected	select	VERB
cana-804	159	11	subset	subset	NOUN
cana-804	159	12	of	of	ADP
cana-804	159	13	features	feature	NOUN
cana-804	159	14	,	,	PUNCT
cana-804	159	15	and	and	CCONJ
cana-804	159	16	k	k	PROPN
cana-804	159	17	is	be	AUX
cana-804	159	18	the	the	DET
cana-804	159	19	total	total	ADJ
cana-804	159	20	number	number	NOUN
cana-804	159	21	of	of	ADP
cana-804	159	22	features	feature	NOUN
cana-804	159	23	.	.	PUNCT
cana-804	160	1	step	step	NOUN
cana-804	160	2	3	3	NUM
cana-804	160	3	:	:	PUNCT
cana-804	160	4	growing	grow	VERB
cana-804	160	5	decision	decision	NOUN
cana-804	160	6	trees	tree	NOUN
cana-804	160	7	:	:	PUNCT
cana-804	160	8	grow	grow	VERB
cana-804	160	9	decision	decision	NOUN
cana-804	160	10	trees	tree	NOUN
cana-804	160	11	using	use	VERB
cana-804	160	12	the	the	DET
cana-804	160	13	sampled	sample	VERB
cana-804	160	14	data	datum	NOUN
cana-804	160	15	and	and	CCONJ
cana-804	160	16	features	feature	NOUN
cana-804	160	17	.	.	PUNCT
cana-804	161	1	step	step	NOUN
cana-804	161	2	4	4	NUM
cana-804	161	3	:	:	PUNCT
cana-804	161	4	ensemble	ensemble	ADJ
cana-804	161	5	of	of	ADP
cana-804	161	6	decision	decision	NOUN
cana-804	161	7	trees	tree	NOUN
cana-804	161	8	:	:	PUNCT
cana-804	161	9	create	create	VERB
cana-804	161	10	multiple	multiple	ADJ
cana-804	161	11	decision	decision	NOUN
cana-804	161	12	trees	tree	NOUN
cana-804	161	13	with	with	ADP
cana-804	161	14	different	different	ADJ
cana-804	161	15	subsets	subset	NOUN
cana-804	161	16	of	of	ADP
cana-804	161	17	data	datum	NOUN
cana-804	161	18	and	and	CCONJ
cana-804	161	19	features	feature	NOUN
cana-804	161	20	.	.	PUNCT
cana-804	162	1	step	step	NOUN
cana-804	162	2	5	5	NUM
cana-804	162	3	:	:	PUNCT
cana-804	162	4	voting	vote	VERB
cana-804	162	5	for	for	ADP
cana-804	162	6	classification	classification	NOUN
cana-804	162	7	:	:	PUNCT
cana-804	162	8	each	each	DET
cana-804	162	9	decision	decision	NOUN
cana-804	162	10	tree	tree	NOUN
cana-804	162	11	casts	cast	VERB
cana-804	162	12	a	a	DET
cana-804	162	13	vote	vote	NOUN
cana-804	162	14	for	for	ADP
cana-804	162	15	the	the	DET
cana-804	162	16	class	class	NOUN
cana-804	162	17	of	of	ADP
cana-804	162	18	the	the	DET
cana-804	162	19	input	input	NOUN
cana-804	162	20	instance	instance	NOUN
cana-804	162	21	.	.	PUNCT
cana-804	163	1	the	the	DET
cana-804	163	2	class	class	NOUN
cana-804	163	3	with	with	ADP
cana-804	163	4	the	the	DET
cana-804	163	5	most	most	ADJ
cana-804	163	6	votes	vote	NOUN
cana-804	163	7	across	across	ADP
cana-804	163	8	all	all	DET
cana-804	163	9	trees	tree	NOUN
cana-804	163	10	is	be	AUX
cana-804	163	11	the	the	DET
cana-804	163	12	final	final	ADJ
cana-804	163	13	prediction	prediction	NOUN
cana-804	163	14	.	.	PUNCT
cana-804	164	1	y^	y^	X
cana-804	164	2	=	=	PUNCT
cana-804	164	3	𝑚𝑜𝑑𝑒{𝑇1(𝑥	𝑚𝑜𝑑𝑒{𝑇1(𝑥	NOUN
cana-804	164	4	)	)	PUNCT
cana-804	164	5	,	,	PUNCT
cana-804	164	6	𝑇2(𝑥	𝑇2(𝑥	PROPN
cana-804	164	7	)	)	PUNCT
cana-804	164	8	,	,	PUNCT
cana-804	164	9	…	…	PUNCT
cana-804	164	10	,	,	PUNCT
cana-804	164	11	𝑇𝑛(𝑥)	𝑇𝑛(𝑥)	NOUN
cana-804	164	12	.......	.......	PUNCT
cana-804	164	13	(1	(1	NUM
cana-804	164	14	)	)	PUNCT
cana-804	164	15	where	where	SCONJ
cana-804	164	16	:	:	PUNCT
cana-804	164	17	•	•	NUM
cana-804	164	18	y^	y^	PRON
cana-804	164	19	is	be	AUX
cana-804	164	20	the	the	DET
cana-804	164	21	predicted	predict	VERB
cana-804	164	22	class	class	NOUN
cana-804	164	23	.	.	PUNCT
cana-804	165	1	•	•	NUM
cana-804	165	2	ti(x	ti(x	NUM
cana-804	165	3	)	)	PUNCT
cana-804	165	4	is	be	AUX
cana-804	165	5	the	the	DET
cana-804	165	6	prediction	prediction	NOUN
cana-804	165	7	of	of	ADP
cana-804	165	8	the	the	DET
cana-804	165	9	ith	ith	PROPN
cana-804	165	10	decision	decision	NOUN
cana-804	165	11	tree	tree	NOUN
cana-804	165	12	.	.	PUNCT
cana-804	166	1	•	•	NUM
cana-804	166	2	mode	mode	NOUN
cana-804	166	3	represents	represent	VERB
cana-804	166	4	the	the	DET
cana-804	166	5	most	most	ADV
cana-804	166	6	common	common	ADJ
cana-804	166	7	class	class	NOUN
cana-804	166	8	among	among	ADP
cana-804	166	9	the	the	DET
cana-804	166	10	predictions	prediction	NOUN
cana-804	166	11	of	of	ADP
cana-804	166	12	all	all	DET
cana-804	166	13	decision	decision	NOUN
cana-804	166	14	trees	tree	NOUN
cana-804	166	15	.	.	PUNCT
cana-804	167	1	the	the	DET
cana-804	167	2	random	random	ADJ
cana-804	167	3	forest	forest	NOUN
cana-804	167	4	method	method	NOUN
cana-804	167	5	builds	build	VERB
cana-804	167	6	a	a	DET
cana-804	167	7	group	group	NOUN
cana-804	167	8	of	of	ADP
cana-804	167	9	decision	decision	NOUN
cana-804	167	10	trees	tree	NOUN
cana-804	167	11	that	that	PRON
cana-804	167	12	work	work	VERB
cana-804	167	13	together	together	ADV
cana-804	167	14	to	to	PART
cana-804	167	15	make	make	VERB
cana-804	167	16	predictions	prediction	NOUN
cana-804	167	17	for	for	ADP
cana-804	167	18	classification	classification	NOUN
cana-804	167	19	tasks	task	NOUN
cana-804	167	20	by	by	ADP
cana-804	167	21	following	follow	VERB
cana-804	167	22	these	these	DET
cana-804	167	23	steps	step	NOUN
cana-804	167	24	.	.	PUNCT
cana-804	168	1	when	when	SCONJ
cana-804	168	2	compared	compare	VERB
cana-804	168	3	to	to	ADP
cana-804	168	4	single	single	ADJ
cana-804	168	5	decision	decision	NOUN
cana-804	168	6	trees	tree	NOUN
cana-804	168	7	,	,	PUNCT
cana-804	168	8	this	this	DET
cana-804	168	9	ensemble	ensemble	ADJ
cana-804	168	10	method	method	NOUN
cana-804	168	11	makes	make	VERB
cana-804	168	12	the	the	DET
cana-804	168	13	system	system	NOUN
cana-804	168	14	more	more	ADV
cana-804	168	15	stable	stable	ADJ
cana-804	168	16	and	and	CCONJ
cana-804	168	17	useful	useful	ADJ
cana-804	168	18	in	in	ADP
cana-804	168	19	more	more	ADJ
cana-804	168	20	situations	situation	NOUN
cana-804	168	21	while	while	SCONJ
cana-804	168	22	also	also	ADV
cana-804	168	23	lowering	lower	VERB
cana-804	168	24	the	the	DET
cana-804	168	25	chance	chance	NOUN
cana-804	168	26	of	of	ADP
cana-804	168	27	overfitting	overfitte	VERB
cana-804	168	28	.	.	PUNCT
cana-804	169	1	b.	b.	NOUN
cana-804	169	2	isolation	isolation	NOUN
cana-804	169	3	forest	forest	NOUN
cana-804	169	4	for	for	ADP
cana-804	169	5	anomaly	anomaly	NOUN
cana-804	169	6	detection	detection	NOUN
cana-804	169	7	:	:	PUNCT
cana-804	169	8	isolation	isolation	NOUN
cana-804	169	9	forest	forest	NOUN
cana-804	169	10	is	be	AUX
cana-804	169	11	a	a	DET
cana-804	169	12	method	method	NOUN
cana-804	169	13	for	for	ADP
cana-804	169	14	finding	find	VERB
cana-804	169	15	anomalies	anomaly	NOUN
cana-804	169	16	that	that	PRON
cana-804	169	17	does	do	AUX
cana-804	169	18	not	not	PART
cana-804	169	19	model	model	VERB
cana-804	169	20	normal	normal	ADJ
cana-804	169	21	cases	case	NOUN
cana-804	169	22	but	but	CCONJ
cana-804	169	23	instead	instead	ADV
cana-804	169	24	separates	separate	VERB
cana-804	169	25	anomalies	anomaly	NOUN
cana-804	169	26	.	.	PUNCT
cana-804	170	1	it	it	PRON
cana-804	170	2	creates	create	VERB
cana-804	170	3	a	a	DET
cana-804	170	4	group	group	NOUN
cana-804	170	5	of	of	ADP
cana-804	170	6	isolation	isolation	NOUN
cana-804	170	7	trees	tree	NOUN
cana-804	170	8	,	,	PUNCT
cana-804	170	9	which	which	PRON
cana-804	170	10	are	be	AUX
cana-804	170	11	a	a	DET
cana-804	170	12	type	type	NOUN
cana-804	170	13	of	of	ADP
cana-804	170	14	binary	binary	ADJ
cana-804	170	15	decision	decision	NOUN
cana-804	170	16	tree	tree	NOUN
cana-804	170	17	.	.	PUNCT
cana-804	171	1	each	each	DET
cana-804	171	2	tree	tree	NOUN
cana-804	171	3	is	be	AUX
cana-804	171	4	grown	grow	VERB
cana-804	171	5	by	by	ADP
cana-804	171	6	picking	pick	VERB
cana-804	171	7	a	a	DET
cana-804	171	8	feature	feature	NOUN
cana-804	171	9	and	and	CCONJ
cana-804	171	10	a	a	DET
cana-804	171	11	random	random	ADJ
cana-804	171	12	split	split	NOUN
cana-804	171	13	value	value	NOUN
cana-804	171	14	for	for	ADP
cana-804	171	15	that	that	DET
cana-804	171	16	feature	feature	NOUN
cana-804	171	17	at	at	ADP
cana-804	171	18	random	random	ADJ
cana-804	171	19	.	.	PUNCT
cana-804	172	1	the	the	DET
cana-804	172	2	program	program	NOUN
cana-804	172	3	figures	figure	VERB
cana-804	172	4	out	out	ADP
cana-804	172	5	the	the	DET
cana-804	172	6	average	average	ADJ
cana-804	172	7	trip	trip	NOUN
cana-804	172	8	length	length	NOUN
cana-804	172	9	needed	need	VERB
cana-804	172	10	to	to	PART
cana-804	172	11	separate	separate	VERB
cana-804	172	12	each	each	DET
cana-804	172	13	data	data	NOUN
cana-804	172	14	point	point	NOUN
cana-804	172	15	and	and	CCONJ
cana-804	172	16	uses	use	VERB
cana-804	172	17	that	that	PRON
cana-804	172	18	as	as	ADP
cana-804	172	19	a	a	DET
cana-804	172	20	score	score	NOUN
cana-804	172	21	to	to	PART
cana-804	172	22	find	find	VERB
cana-804	172	23	things	thing	NOUN
cana-804	172	24	that	that	PRON
cana-804	172	25	do	do	AUX
cana-804	172	26	n't	not	PART
cana-804	172	27	seem	seem	VERB
cana-804	172	28	right	right	ADJ
cana-804	172	29	.	.	PUNCT
cana-804	173	1	anomalies	anomaly	NOUN
cana-804	173	2	usually	usually	ADV
cana-804	173	3	have	have	VERB
cana-804	173	4	shorter	short	ADJ
cana-804	173	5	path	path	NOUN
cana-804	173	6	lengths	length	NOUN
cana-804	173	7	,	,	PUNCT
cana-804	173	8	which	which	PRON
cana-804	173	9	makes	make	VERB
cana-804	173	10	them	they	PRON
cana-804	173	11	easier	easy	ADJ
cana-804	173	12	to	to	PART
cana-804	173	13	separate	separate	VERB
cana-804	173	14	.	.	PUNCT
cana-804	174	1	normal	normal	ADJ
cana-804	174	2	cases	case	NOUN
cana-804	174	3	,	,	PUNCT
cana-804	174	4	on	on	ADP
cana-804	174	5	the	the	DET
cana-804	174	6	other	other	ADJ
cana-804	174	7	hand	hand	NOUN
cana-804	174	8	,	,	PUNCT
cana-804	174	9	need	need	VERB
cana-804	174	10	more	more	ADJ
cana-804	174	11	splits	split	NOUN
cana-804	174	12	.	.	PUNCT
cana-804	175	1	communications	communication	NOUN
cana-804	175	2	on	on	ADP
cana-804	175	3	applied	apply	VERB
cana-804	175	4	nonlinear	nonlinear	ADJ
cana-804	175	5	analysis	analysis	NOUN
cana-804	175	6	issn	issn	NOUN
cana-804	175	7	:	:	PUNCT
cana-804	175	8	1074	1074	NUM
cana-804	175	9	-	-	PUNCT
cana-804	175	10	133x	133x	NUM
cana-804	175	11	vol	vol	NOUN
cana-804	175	12	31	31	NUM
cana-804	175	13	no	no	NOUN
cana-804	175	14	.	.	PUNCT
cana-804	176	1	3s	3s	NUM
cana-804	176	2	(	(	PUNCT
cana-804	176	3	2024	2024	NUM
cana-804	176	4	)	)	PUNCT
cana-804	176	5	511	511	NUM
cana-804	177	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-804	177	2	proposed	propose	VERB
cana-804	177	3	isolation	isolation	NOUN
cana-804	177	4	forest	forest	NOUN
cana-804	177	5	algorithm	algorithm	NOUN
cana-804	177	6	is	be	AUX
cana-804	177	7	as	as	SCONJ
cana-804	177	8	follows	follow	VERB
cana-804	177	9	step	step	NOUN
cana-804	177	10	1	1	NUM
cana-804	177	11	:	:	PUNCT
cana-804	177	12	random	random	ADJ
cana-804	177	13	partitioning	partitioning	NOUN
cana-804	177	14	of	of	ADP
cana-804	177	15	data	datum	NOUN
cana-804	177	16	:	:	PUNCT
cana-804	177	17	randomly	randomly	ADV
cana-804	177	18	select	select	VERB
cana-804	177	19	a	a	DET
cana-804	177	20	feature	feature	NOUN
cana-804	177	21	and	and	CCONJ
cana-804	177	22	a	a	DET
cana-804	177	23	split	split	ADJ
cana-804	177	24	value	value	NOUN
cana-804	177	25	to	to	PART
cana-804	177	26	partition	partition	VERB
cana-804	177	27	the	the	DET
cana-804	177	28	data	datum	NOUN
cana-804	177	29	.	.	PUNCT
cana-804	178	1	𝑠𝑝𝑙𝑖𝑡	𝑠𝑝𝑙𝑖𝑡	PROPN
cana-804	178	2	=	=	SYM
cana-804	178	3	𝑟𝑎𝑛𝑑𝑜𝑚(𝑚𝑖𝑛	𝑟𝑎𝑛𝑑𝑜𝑚(𝑚𝑖𝑛	NOUN
cana-804	178	4	,	,	PUNCT
cana-804	178	5	𝑚𝑎𝑥	𝑚𝑎𝑥	ADJ
cana-804	178	6	)	)	PUNCT
cana-804	178	7	step	step	NOUN
cana-804	178	8	2	2	NUM
cana-804	178	9	:	:	PUNCT
cana-804	178	10	recursive	recursive	ADJ
cana-804	178	11	partitioning	partitioning	NOUN
cana-804	178	12	:	:	PUNCT
cana-804	178	13	repeat	repeat	VERB
cana-804	178	14	the	the	DET
cana-804	178	15	partitioning	partitioning	NOUN
cana-804	178	16	process	process	NOUN
cana-804	178	17	recursively	recursively	ADV
cana-804	178	18	until	until	SCONJ
cana-804	178	19	each	each	DET
cana-804	178	20	data	data	NOUN
cana-804	178	21	point	point	NOUN
cana-804	178	22	is	be	AUX
cana-804	178	23	isolated	isolate	VERB
cana-804	178	24	or	or	CCONJ
cana-804	178	25	a	a	DET
cana-804	178	26	maximum	maximum	ADJ
cana-804	178	27	tree	tree	NOUN
cana-804	178	28	depth	depth	NOUN
cana-804	178	29	is	be	AUX
cana-804	178	30	reached	reach	VERB
cana-804	178	31	.	.	PUNCT
cana-804	179	1	step	step	NOUN
cana-804	179	2	3	3	NUM
cana-804	179	3	:	:	PUNCT
cana-804	179	4	measure	measure	VERB
cana-804	179	5	average	average	ADJ
cana-804	179	6	path	path	NOUN
cana-804	179	7	length	length	NOUN
cana-804	179	8	:	:	PUNCT
cana-804	179	9	calculate	calculate	VERB
cana-804	179	10	the	the	DET
cana-804	179	11	average	average	ADJ
cana-804	179	12	path	path	NOUN
cana-804	179	13	length	length	NOUN
cana-804	179	14	required	require	VERB
cana-804	179	15	to	to	PART
cana-804	179	16	isolate	isolate	VERB
cana-804	179	17	each	each	DET
cana-804	179	18	data	data	NOUN
cana-804	179	19	point	point	NOUN
cana-804	179	20	.	.	PUNCT
cana-804	180	1	𝐸(ℎ(𝑥	𝐸(ℎ(𝑥	ADV
cana-804	180	2	)	)	PUNCT
cana-804	180	3	)	)	PUNCT
cana-804	181	1	=	=	SYM
cana-804	181	2	𝑐(ℎ𝑒𝑖𝑔ℎ𝑡	𝑐(ℎ𝑒𝑖𝑔ℎ𝑡	PROPN
cana-804	181	3	)	)	PUNCT
cana-804	181	4	step	step	NOUN
cana-804	181	5	4	4	NUM
cana-804	181	6	:	:	PUNCT
cana-804	181	7	calculate	calculate	NOUN
cana-804	181	8	anomaly	anomaly	NOUN
cana-804	181	9	score	score	NOUN
cana-804	181	10	:	:	PUNCT
cana-804	181	11	compute	compute	VERB
cana-804	181	12	the	the	DET
cana-804	181	13	anomaly	anomaly	NOUN
cana-804	181	14	score	score	NOUN
cana-804	181	15	for	for	ADP
cana-804	181	16	each	each	DET
cana-804	181	17	data	datum	NOUN
cana-804	181	18	point	point	NOUN
cana-804	181	19	based	base	VERB
cana-804	181	20	on	on	ADP
cana-804	181	21	its	its	PRON
cana-804	181	22	average	average	ADJ
cana-804	181	23	path	path	NOUN
cana-804	181	24	length	length	NOUN
cana-804	181	25	.	.	PUNCT
cana-804	182	1	𝑠(𝑥	𝑠(𝑥	PROPN
cana-804	182	2	,	,	PUNCT
cana-804	182	3	𝑇	𝑇	PROPN
cana-804	182	4	)	)	PUNCT
cana-804	182	5	=	=	PUNCT
cana-804	182	6	2	2	NUM
cana-804	182	7	⬚	⬚	PROPN
cana-804	182	8	−	−	NOUN
cana-804	182	9	𝐸(ℎ(𝑥	𝐸(ℎ(𝑥	ADJ
cana-804	182	10	)	)	PUNCT
cana-804	182	11	)	)	PUNCT
cana-804	183	1	𝑐(𝑛	𝑐(𝑛	PROPN
cana-804	183	2	)	)	PUNCT
cana-804	184	1	where	where	SCONJ
cana-804	184	2	:	:	PUNCT
cana-804	184	3	•	•	NUM
cana-804	184	4	s(x	s(x	PROPN
cana-804	184	5	,	,	PUNCT
cana-804	184	6	t	t	PROPN
cana-804	184	7	)	)	PUNCT
cana-804	184	8	is	be	AUX
cana-804	184	9	the	the	DET
cana-804	184	10	anomaly	anomaly	NOUN
cana-804	184	11	score	score	NOUN
cana-804	184	12	of	of	ADP
cana-804	184	13	data	datum	NOUN
cana-804	184	14	point	point	NOUN
cana-804	184	15	𝑥	𝑥	NOUN
cana-804	184	16	in	in	ADP
cana-804	184	17	tree	tree	NOUN
cana-804	184	18	𝑇.	𝑇.	PROPN
cana-804	184	19	•	•	NUM
cana-804	184	20	e(h(x	e(h(x	PROPN
cana-804	184	21	)	)	PUNCT
cana-804	184	22	)	)	PUNCT
cana-804	185	1	is	be	AUX
cana-804	185	2	the	the	DET
cana-804	185	3	average	average	ADJ
cana-804	185	4	path	path	NOUN
cana-804	185	5	length	length	NOUN
cana-804	185	6	for	for	ADP
cana-804	185	7	data	datum	NOUN
cana-804	185	8	point	point	NOUN
cana-804	185	9	𝑥.	𝑥.	NOUN
cana-804	185	10	•	•	NOUN
cana-804	185	11	c(n	c(n	PROPN
cana-804	185	12	)	)	PUNCT
cana-804	186	1	is	be	AUX
cana-804	186	2	a	a	DET
cana-804	186	3	normalization	normalization	NOUN
cana-804	186	4	factor	factor	NOUN
cana-804	186	5	derived	derive	VERB
cana-804	186	6	from	from	ADP
cana-804	186	7	the	the	DET
cana-804	186	8	average	average	ADJ
cana-804	186	9	path	path	NOUN
cana-804	186	10	length	length	NOUN
cana-804	186	11	of	of	ADP
cana-804	186	12	unsuccessful	unsuccessful	ADJ
cana-804	186	13	search	search	NOUN
cana-804	186	14	in	in	ADP
cana-804	186	15	binary	binary	ADJ
cana-804	186	16	trees	tree	NOUN
cana-804	186	17	of	of	ADP
cana-804	186	18	n	n	PRON
cana-804	186	19	instances	instance	NOUN
cana-804	186	20	.	.	PUNCT
cana-804	187	1	step	step	NOUN
cana-804	187	2	5	5	NUM
cana-804	187	3	:	:	PUNCT
cana-804	187	4	identify	identify	VERB
cana-804	187	5	anomalies	anomaly	NOUN
cana-804	187	6	:	:	PUNCT
cana-804	187	7	data	datum	NOUN
cana-804	187	8	points	point	NOUN
cana-804	187	9	with	with	ADP
cana-804	187	10	lower	low	ADJ
cana-804	187	11	average	average	ADJ
cana-804	187	12	path	path	NOUN
cana-804	187	13	lengths	length	NOUN
cana-804	187	14	are	be	AUX
cana-804	187	15	considered	consider	VERB
cana-804	187	16	anomalies	anomaly	NOUN
cana-804	187	17	.	.	PUNCT
cana-804	188	1	the	the	DET
cana-804	188	2	isolation	isolation	NOUN
cana-804	188	3	forest	forest	NOUN
cana-804	188	4	method	method	NOUN
cana-804	188	5	effectively	effectively	ADV
cana-804	188	6	separates	separate	VERB
cana-804	188	7	outliers	outlier	NOUN
cana-804	188	8	by	by	ADP
cana-804	188	9	making	make	VERB
cana-804	188	10	binary	binary	ADJ
cana-804	188	11	trees	tree	NOUN
cana-804	188	12	that	that	PRON
cana-804	188	13	divide	divide	VERB
cana-804	188	14	the	the	DET
cana-804	188	15	data	datum	NOUN
cana-804	188	16	in	in	ADP
cana-804	188	17	these	these	DET
cana-804	188	18	steps	step	NOUN
cana-804	188	19	.	.	PUNCT
cana-804	189	1	the	the	DET
cana-804	189	2	shorter	short	ADJ
cana-804	189	3	average	average	ADJ
cana-804	189	4	path	path	NOUN
cana-804	189	5	lengths	length	NOUN
cana-804	189	6	of	of	ADP
cana-804	189	7	anomalies	anomaly	NOUN
cana-804	189	8	in	in	ADP
cana-804	189	9	the	the	DET
cana-804	189	10	resulting	result	VERB
cana-804	189	11	tree	tree	NOUN
cana-804	189	12	shapes	shape	NOUN
cana-804	189	13	help	help	AUX
cana-804	189	14	find	find	VERB
cana-804	189	15	them	they	PRON
cana-804	189	16	.	.	PUNCT
cana-804	190	1	because	because	SCONJ
cana-804	190	2	of	of	ADP
cana-804	190	3	this	this	DET
cana-804	190	4	method	method	NOUN
cana-804	190	5	,	,	PUNCT
cana-804	190	6	isolation	isolation	NOUN
cana-804	190	7	forest	forest	NOUN
cana-804	190	8	can	can	AUX
cana-804	190	9	be	be	AUX
cana-804	190	10	used	use	VERB
cana-804	190	11	to	to	PART
cana-804	190	12	find	find	VERB
cana-804	190	13	strange	strange	ADJ
cana-804	190	14	things	thing	NOUN
cana-804	190	15	in	in	ADP
cana-804	190	16	large	large	ADJ
cana-804	190	17	datasets	dataset	NOUN
cana-804	190	18	.	.	PUNCT
cana-804	191	1	c.	c.	PROPN
cana-804	191	2	neural	neural	PROPN
cana-804	191	3	network	network	NOUN
cana-804	191	4	for	for	ADP
cana-804	191	5	predictive	predictive	ADJ
cana-804	191	6	modeling	modeling	NOUN
cana-804	191	7	:	:	PUNCT
cana-804	191	8	neural	neural	ADJ
cana-804	191	9	networks	network	NOUN
cana-804	191	10	are	be	AUX
cana-804	191	11	flexible	flexible	ADJ
cana-804	191	12	models	model	NOUN
cana-804	191	13	that	that	PRON
cana-804	191	14	can	can	AUX
cana-804	191	15	use	use	VERB
cana-804	191	16	data	datum	NOUN
cana-804	191	17	to	to	PART
cana-804	191	18	learn	learn	VERB
cana-804	191	19	complicated	complicated	ADJ
cana-804	191	20	patterns	pattern	NOUN
cana-804	191	21	and	and	CCONJ
cana-804	191	22	connections	connection	NOUN
cana-804	191	23	.	.	PUNCT
cana-804	192	1	neural	neural	ADJ
cana-804	192	2	networks	network	NOUN
cana-804	192	3	can	can	AUX
cana-804	192	4	be	be	AUX
cana-804	192	5	used	use	VERB
cana-804	192	6	in	in	ADP
cana-804	192	7	predictive	predictive	ADJ
cana-804	192	8	modeling	modeling	NOUN
cana-804	192	9	to	to	PART
cana-804	192	10	guess	guess	VERB
cana-804	192	11	what	what	PRON
cana-804	192	12	security	security	NOUN
cana-804	192	13	problems	problem	NOUN
cana-804	192	14	will	will	AUX
cana-804	192	15	happen	happen	VERB
cana-804	192	16	in	in	ADP
cana-804	192	17	the	the	DET
cana-804	192	18	future	future	NOUN
cana-804	192	19	by	by	ADP
cana-804	192	20	looking	look	VERB
cana-804	192	21	at	at	ADP
cana-804	192	22	past	past	ADJ
cana-804	192	23	data	datum	NOUN
cana-804	192	24	and	and	CCONJ
cana-804	192	25	knowing	know	VERB
cana-804	192	26	how	how	SCONJ
cana-804	192	27	cyber	cyber	ADJ
cana-804	192	28	threats	threat	NOUN
cana-804	192	29	usually	usually	ADV
cana-804	192	30	behave	behave	VERB
cana-804	192	31	[	[	X
cana-804	192	32	23	23	NUM
cana-804	192	33	]	]	PUNCT
cana-804	192	34	.	.	PUNCT
cana-804	193	1	a	a	DET
cana-804	193	2	neural	neural	ADJ
cana-804	193	3	network	network	NOUN
cana-804	193	4	is	be	AUX
cana-804	193	5	made	make	VERB
cana-804	193	6	up	up	ADP
cana-804	193	7	of	of	ADP
cana-804	193	8	layers	layer	NOUN
cana-804	193	9	of	of	ADP
cana-804	193	10	neurons	neuron	NOUN
cana-804	193	11	that	that	PRON
cana-804	193	12	are	be	AUX
cana-804	193	13	all	all	ADV
cana-804	193	14	linked	link	VERB
cana-804	193	15	to	to	ADP
cana-804	193	16	each	each	DET
cana-804	193	17	other	other	ADJ
cana-804	193	18	.	.	PUNCT
cana-804	194	1	each	each	DET
cana-804	194	2	neuron	neuron	NOUN
cana-804	194	3	does	do	VERB
cana-804	194	4	an	an	DET
cana-804	194	5	activation	activation	NOUN
cana-804	194	6	function	function	NOUN
cana-804	194	7	followed	follow	VERB
cana-804	194	8	by	by	ADP
cana-804	194	9	a	a	DET
cana-804	194	10	weighted	weight	VERB
cana-804	194	11	sum	sum	NOUN
cana-804	194	12	of	of	ADP
cana-804	194	13	inputs	input	NOUN
cana-804	194	14	.	.	PUNCT
cana-804	195	1	neural	neural	ADJ
cana-804	195	2	networks	network	NOUN
cana-804	195	3	learn	learn	VERB
cana-804	195	4	to	to	PART
cana-804	195	5	change	change	VERB
cana-804	195	6	their	their	PRON
cana-804	195	7	weights	weight	NOUN
cana-804	195	8	to	to	PART
cana-804	195	9	make	make	VERB
cana-804	195	10	predictions	prediction	NOUN
cana-804	195	11	more	more	ADV
cana-804	195	12	accurate	accurate	ADJ
cana-804	195	13	and	and	CCONJ
cana-804	195	14	improve	improve	VERB
cana-804	195	15	performance	performance	NOUN
cana-804	195	16	through	through	ADP
cana-804	195	17	forward	forward	ADV
cana-804	195	18	and	and	CCONJ
cana-804	195	19	backward	backward	ADJ
cana-804	195	20	propagation	propagation	NOUN
cana-804	195	21	.	.	PUNCT
cana-804	196	1	these	these	DET
cana-804	196	2	models	model	NOUN
cana-804	196	3	are	be	AUX
cana-804	196	4	used	use	VERB
cana-804	196	5	on	on	ADP
cana-804	196	6	many	many	ADJ
cana-804	196	7	layers	layer	NOUN
cana-804	196	8	of	of	ADP
cana-804	196	9	neurons	neuron	NOUN
cana-804	196	10	in	in	ADP
cana-804	196	11	the	the	DET
cana-804	196	12	neural	neural	ADJ
cana-804	196	13	network	network	NOUN
cana-804	196	14	,	,	PUNCT
cana-804	196	15	and	and	CCONJ
cana-804	196	16	each	each	DET
cana-804	196	17	layer	layer	NOUN
cana-804	196	18	adds	add	VERB
cana-804	196	19	to	to	ADP
cana-804	196	20	the	the	DET
cana-804	196	21	projection	projection	NOUN
cana-804	196	22	as	as	ADP
cana-804	196	23	a	a	DET
cana-804	196	24	whole	whole	NOUN
cana-804	196	25	.	.	PUNCT
cana-804	197	1	proposed	propose	VERB
cana-804	197	2	neural	neural	ADJ
cana-804	197	3	network	network	NOUN
cana-804	197	4	algorithm	algorithm	NOUN
cana-804	197	5	is	be	AUX
cana-804	197	6	as	as	SCONJ
cana-804	197	7	follows	follow	VERB
cana-804	197	8	communications	communication	NOUN
cana-804	197	9	on	on	ADP
cana-804	197	10	applied	apply	VERB
cana-804	197	11	nonlinear	nonlinear	ADJ
cana-804	197	12	analysis	analysis	NOUN
cana-804	197	13	issn	issn	NOUN
cana-804	197	14	:	:	PUNCT
cana-804	197	15	1074	1074	NUM
cana-804	197	16	-	-	PUNCT
cana-804	197	17	133x	133x	NUM
cana-804	197	18	vol	vol	NOUN
cana-804	197	19	31	31	NUM
cana-804	197	20	no	no	NOUN
cana-804	197	21	.	.	PUNCT
cana-804	198	1	3s	3s	NUM
cana-804	198	2	(	(	PUNCT
cana-804	198	3	2024	2024	NUM
cana-804	198	4	)	)	PUNCT
cana-804	198	5	512	512	NUM
cana-804	198	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	198	7	step	step	NOUN
cana-804	198	8	1	1	NUM
cana-804	198	9	:	:	PUNCT
cana-804	198	10	initialization	initialization	NOUN
cana-804	198	11	:	:	PUNCT
cana-804	198	12	initialize	initialize	VERB
cana-804	198	13	random	random	ADJ
cana-804	198	14	weights	weight	NOUN
cana-804	198	15	and	and	CCONJ
cana-804	198	16	biases	bias	NOUN
cana-804	198	17	for	for	ADP
cana-804	198	18	each	each	DET
cana-804	198	19	neuron	neuron	NOUN
cana-804	198	20	.	.	PUNCT
cana-804	199	1	wl	wl	PROPN
cana-804	199	2	,	,	PUNCT
cana-804	199	3	bl	bl	PROPN
cana-804	199	4	step	step	NOUN
cana-804	199	5	2	2	NUM
cana-804	199	6	:	:	PUNCT
cana-804	199	7	forward	forward	ADJ
cana-804	199	8	propagation	propagation	NOUN
cana-804	199	9	:	:	PUNCT
cana-804	199	10	compute	compute	NOUN
cana-804	199	11	activations	activation	NOUN
cana-804	199	12	using	use	VERB
cana-804	199	13	weighted	weight	VERB
cana-804	199	14	sum	sum	NOUN
cana-804	199	15	and	and	CCONJ
cana-804	199	16	activation	activation	NOUN
cana-804	199	17	function	function	NOUN
cana-804	199	18	.	.	PUNCT
cana-804	200	1	z[l]=w[l]a[l−1]+b[l	z[l]=w[l]a[l−1]+b[l	PROPN
cana-804	200	2	]	]	PUNCT
cana-804	200	3	a[l]=σ(z[l	a[l]=σ(z[l	NOUN
cana-804	200	4	]	]	PUNCT
cana-804	200	5	)	)	PUNCT
cana-804	200	6	step	step	NOUN
cana-804	200	7	3	3	NUM
cana-804	200	8	:	:	PUNCT
cana-804	200	9	loss	loss	NOUN
cana-804	200	10	calculation	calculation	NOUN
cana-804	200	11	:	:	PUNCT
cana-804	200	12	compute	compute	VERB
cana-804	200	13	the	the	DET
cana-804	200	14	loss	loss	NOUN
cana-804	200	15	between	between	ADP
cana-804	200	16	predicted	predict	VERB
cana-804	200	17	and	and	CCONJ
cana-804	200	18	actual	actual	ADJ
cana-804	200	19	outputs	output	NOUN
cana-804	200	20	.	.	PUNCT
cana-804	201	1	𝐽	𝐽	PRON
cana-804	201	2	=	=	NOUN
cana-804	202	1	1	1	NUM
cana-804	202	2	𝑚	𝑚	X
cana-804	202	3	∑𝑖	∑𝑖	X
cana-804	202	4	=	=	PUNCT
cana-804	202	5	1𝑚𝐿(𝑦(𝑖	1𝑚𝐿(𝑦(𝑖	NUM
cana-804	202	6	)	)	PUNCT
cana-804	202	7	,	,	PUNCT
cana-804	202	8	𝑦(𝑖	𝑦(𝑖	NOUN
cana-804	202	9	)	)	PUNCT
cana-804	202	10	)	)	PUNCT
cana-804	202	11	step	step	NOUN
cana-804	202	12	4	4	NUM
cana-804	202	13	:	:	PUNCT
cana-804	202	14	backpropagation	backpropagation	NOUN
cana-804	202	15	:	:	PUNCT
cana-804	202	16	compute	compute	NOUN
cana-804	202	17	gradients	gradient	NOUN
cana-804	202	18	of	of	ADP
cana-804	202	19	the	the	DET
cana-804	202	20	loss	loss	NOUN
cana-804	202	21	w.r.t	w.r.t	NOUN
cana-804	202	22	.	.	PUNCT
cana-804	203	1	network	network	NOUN
cana-804	203	2	parameters	parameter	NOUN
cana-804	203	3	.	.	PUNCT
cana-804	204	1	dz[l],dw[l],db[l	dz[l],dw[l],db[l	PROPN
cana-804	204	2	]	]	PUNCT
cana-804	204	3	step	step	NOUN
cana-804	204	4	5	5	NUM
cana-804	204	5	:	:	PUNCT
cana-804	204	6	gradient	gradient	ADJ
cana-804	204	7	descent	descent	NOUN
cana-804	204	8	:	:	PUNCT
cana-804	204	9	update	update	VERB
cana-804	204	10	weights	weight	NOUN
cana-804	204	11	and	and	CCONJ
cana-804	204	12	biases	bias	NOUN
cana-804	204	13	using	use	VERB
cana-804	204	14	gradients	gradient	NOUN
cana-804	204	15	and	and	CCONJ
cana-804	204	16	learning	learning	NOUN
cana-804	204	17	rate	rate	NOUN
cana-804	204	18	.	.	PUNCT
cana-804	205	1	w[l]=w[l]−α⋅dw[l	w[l]=w[l]−α⋅dw[l	ADJ
cana-804	205	2	]	]	X
cana-804	205	3	b[l]=b[l]−α⋅db[l	b[l]=b[l]−α⋅db[l	X
cana-804	205	4	]	]	X
cana-804	205	5	a	a	DET
cana-804	205	6	feedforward	feedforward	ADJ
cana-804	205	7	neural	neural	ADJ
cana-804	205	8	network	network	NOUN
cana-804	205	9	learns	learn	VERB
cana-804	205	10	to	to	PART
cana-804	205	11	guess	guess	VERB
cana-804	205	12	what	what	PRON
cana-804	205	13	will	will	AUX
cana-804	205	14	happen	happen	VERB
cana-804	205	15	next	next	ADV
cana-804	205	16	by	by	ADP
cana-804	205	17	changing	change	VERB
cana-804	205	18	its	its	PRON
cana-804	205	19	weights	weight	NOUN
cana-804	205	20	and	and	CCONJ
cana-804	205	21	biases	bias	NOUN
cana-804	205	22	using	use	VERB
cana-804	205	23	backpropagation	backpropagation	NOUN
cana-804	205	24	and	and	CCONJ
cana-804	205	25	gradient	gradient	ADJ
cana-804	205	26	descent	descent	NOUN
cana-804	205	27	optimization	optimization	NOUN
cana-804	205	28	.	.	PUNCT
cana-804	206	1	as	as	ADP
cana-804	206	2	a	a	DET
cana-804	206	3	result	result	NOUN
cana-804	206	4	,	,	PUNCT
cana-804	206	5	the	the	DET
cana-804	206	6	network	network	NOUN
cana-804	206	7	can	can	AUX
cana-804	206	8	do	do	VERB
cana-804	206	9	jobs	job	NOUN
cana-804	206	10	like	like	ADP
cana-804	206	11	predicting	predict	VERB
cana-804	206	12	future	future	ADJ
cana-804	206	13	security	security	NOUN
cana-804	206	14	events	event	NOUN
cana-804	206	15	by	by	ADP
cana-804	206	16	looking	look	VERB
cana-804	206	17	at	at	ADP
cana-804	206	18	past	past	ADJ
cana-804	206	19	data	datum	NOUN
cana-804	206	20	and	and	CCONJ
cana-804	206	21	understanding	understanding	NOUN
cana-804	206	22	how	how	SCONJ
cana-804	206	23	cyber	cyber	ADJ
cana-804	206	24	risks	risk	NOUN
cana-804	206	25	behave	behave	VERB
cana-804	206	26	.	.	PUNCT
cana-804	207	1	4	4	X
cana-804	207	2	.	.	X
cana-804	207	3	threat	threat	NOUN
cana-804	207	4	intelligence	intelligence	NOUN
cana-804	207	5	analysis	analysis	NOUN
cana-804	207	6	:	:	PUNCT
cana-804	207	7	threat	threat	NOUN
cana-804	207	8	intelligence	intelligence	NOUN
cana-804	207	9	analysis	analysis	NOUN
cana-804	207	10	uses	use	VERB
cana-804	207	11	tested	test	VERB
cana-804	207	12	data	datum	NOUN
cana-804	207	13	and	and	CCONJ
cana-804	207	14	taught	teach	VERB
cana-804	207	15	machine	machine	NOUN
cana-804	207	16	learning	learning	NOUN
cana-804	207	17	models	model	NOUN
cana-804	207	18	to	to	PART
cana-804	207	19	figure	figure	VERB
cana-804	207	20	out	out	ADP
cana-804	207	21	what	what	PRON
cana-804	207	22	cyber	cyber	NOUN
cana-804	207	23	dangers	danger	VERB
cana-804	207	24	there	there	PRON
cana-804	207	25	are	be	VERB
cana-804	207	26	and	and	CCONJ
cana-804	207	27	what	what	PRON
cana-804	207	28	can	can	AUX
cana-804	207	29	be	be	AUX
cana-804	207	30	done	do	VERB
cana-804	207	31	about	about	ADP
cana-804	207	32	them	they	PRON
cana-804	207	33	.	.	PUNCT
cana-804	208	1	after	after	SCONJ
cana-804	208	2	the	the	DET
cana-804	208	3	models	model	NOUN
cana-804	208	4	have	have	AUX
cana-804	208	5	been	be	AUX
cana-804	208	6	trained	train	VERB
cana-804	208	7	on	on	ADP
cana-804	208	8	labeled	label	VERB
cana-804	208	9	data	datum	NOUN
cana-804	208	10	and	and	CCONJ
cana-804	208	11	shown	show	VERB
cana-804	208	12	to	to	PART
cana-804	208	13	work	work	VERB
cana-804	208	14	well	well	ADV
cana-804	208	15	,	,	PUNCT
cana-804	208	16	they	they	PRON
cana-804	208	17	are	be	AUX
cana-804	208	18	put	put	VERB
cana-804	208	19	to	to	PART
cana-804	208	20	use	use	VERB
cana-804	208	21	to	to	PART
cana-804	208	22	look	look	VERB
cana-804	208	23	at	at	ADP
cana-804	208	24	real	real	ADJ
cana-804	208	25	-	-	PUNCT
cana-804	208	26	world	world	NOUN
cana-804	208	27	cybersecurity	cybersecurity	NOUN
cana-804	208	28	information	information	NOUN
cana-804	208	29	.	.	PUNCT
cana-804	209	1	this	this	PRON
cana-804	209	2	helps	help	VERB
cana-804	209	3	companies	company	NOUN
cana-804	209	4	find	find	VERB
cana-804	209	5	and	and	CCONJ
cana-804	209	6	fix	fix	VERB
cana-804	209	7	possible	possible	ADJ
cana-804	209	8	security	security	NOUN
cana-804	209	9	risks	risk	NOUN
cana-804	209	10	.	.	PUNCT
cana-804	210	1	classification	classification	NOUN
cana-804	210	2	models	model	NOUN
cana-804	210	3	are	be	AUX
cana-804	210	4	used	use	VERB
cana-804	210	5	to	to	PART
cana-804	210	6	put	put	VERB
cana-804	210	7	threats	threat	NOUN
cana-804	210	8	into	into	ADP
cana-804	210	9	groups	group	NOUN
cana-804	210	10	based	base	VERB
cana-804	210	11	on	on	ADP
cana-804	210	12	how	how	SCONJ
cana-804	210	13	they	they	PRON
cana-804	210	14	act	act	VERB
cana-804	210	15	and	and	CCONJ
cana-804	210	16	what	what	PRON
cana-804	210	17	they	they	PRON
cana-804	210	18	look	look	VERB
cana-804	210	19	like	like	ADP
cana-804	210	20	.	.	PUNCT
cana-804	211	1	these	these	DET
cana-804	211	2	models	model	NOUN
cana-804	211	3	use	use	VERB
cana-804	211	4	dataderived	dataderive	VERB
cana-804	211	5	features	feature	NOUN
cana-804	211	6	to	to	PART
cana-804	211	7	guess	guess	VERB
cana-804	211	8	how	how	SCONJ
cana-804	211	9	likely	likely	ADJ
cana-804	211	10	it	it	PRON
cana-804	211	11	is	be	AUX
cana-804	211	12	that	that	SCONJ
cana-804	211	13	different	different	ADJ
cana-804	211	14	types	type	NOUN
cana-804	211	15	of	of	ADP
cana-804	211	16	threats	threat	NOUN
cana-804	211	17	,	,	PUNCT
cana-804	211	18	like	like	ADP
cana-804	211	19	malware	malware	NOUN
cana-804	211	20	outbreaks	outbreak	NOUN
cana-804	211	21	,	,	PUNCT
cana-804	211	22	phishing	phishe	VERB
cana-804	211	23	attacks	attack	NOUN
cana-804	211	24	,	,	PUNCT
cana-804	211	25	or	or	CCONJ
cana-804	211	26	insider	insider	NOUN
cana-804	211	27	threats	threat	NOUN
cana-804	211	28	,	,	PUNCT
cana-804	211	29	will	will	AUX
cana-804	211	30	happen	happen	VERB
cana-804	211	31	.	.	PUNCT
cana-804	212	1	by	by	ADP
cana-804	212	2	giving	give	VERB
cana-804	212	3	new	new	ADJ
cana-804	212	4	data	datum	NOUN
cana-804	212	5	names	name	NOUN
cana-804	212	6	based	base	VERB
cana-804	212	7	on	on	ADP
cana-804	212	8	the	the	DET
cana-804	212	9	learned	learn	VERB
cana-804	212	10	algorithm	algorithm	NOUN
cana-804	212	11	,	,	PUNCT
cana-804	212	12	organizations	organization	NOUN
cana-804	212	13	can	can	AUX
cana-804	212	14	quickly	quickly	ADV
cana-804	212	15	find	find	VERB
cana-804	212	16	and	and	CCONJ
cana-804	212	17	highlight	highlight	VERB
cana-804	212	18	security	security	NOUN
cana-804	212	19	events	event	NOUN
cana-804	212	20	,	,	PUNCT
cana-804	212	21	which	which	PRON
cana-804	212	22	lets	let	VERB
cana-804	212	23	them	they	PRON
cana-804	212	24	respond	respond	VERB
cana-804	212	25	and	and	CCONJ
cana-804	212	26	reduce	reduce	VERB
cana-804	212	27	the	the	DET
cana-804	212	28	damage	damage	NOUN
cana-804	212	29	quickly	quickly	ADV
cana-804	212	30	.	.	PUNCT
cana-804	213	1	anomaly	anomaly	NOUN
cana-804	213	2	detection	detection	NOUN
cana-804	213	3	models	model	NOUN
cana-804	213	4	are	be	AUX
cana-804	213	5	used	use	VERB
cana-804	213	6	to	to	PART
cana-804	213	7	find	find	VERB
cana-804	213	8	changes	change	NOUN
cana-804	213	9	from	from	ADP
cana-804	213	10	how	how	SCONJ
cana-804	213	11	a	a	DET
cana-804	213	12	network	network	NOUN
cana-804	213	13	normally	normally	ADV
cana-804	213	14	works	work	VERB
cana-804	213	15	,	,	PUNCT
cana-804	213	16	which	which	PRON
cana-804	213	17	could	could	AUX
cana-804	213	18	mean	mean	VERB
cana-804	213	19	that	that	SCONJ
cana-804	213	20	security	security	NOUN
cana-804	213	21	has	have	AUX
cana-804	213	22	been	be	AUX
cana-804	213	23	breached	breach	VERB
cana-804	213	24	or	or	CCONJ
cana-804	213	25	that	that	SCONJ
cana-804	213	26	someone	someone	PRON
cana-804	213	27	is	be	AUX
cana-804	213	28	doing	do	VERB
cana-804	213	29	something	something	PRON
cana-804	213	30	bad	bad	ADJ
cana-804	213	31	.	.	PUNCT
cana-804	214	1	from	from	ADP
cana-804	214	2	the	the	DET
cana-804	214	3	training	training	NOUN
cana-804	214	4	data	datum	NOUN
cana-804	214	5	,	,	PUNCT
cana-804	214	6	these	these	DET
cana-804	214	7	models	model	NOUN
cana-804	214	8	learn	learn	VERB
cana-804	214	9	what	what	PRON
cana-804	214	10	is	be	AUX
cana-804	214	11	normal	normal	ADJ
cana-804	214	12	and	and	CCONJ
cana-804	214	13	mark	mark	NOUN
cana-804	214	14	cases	case	NOUN
cana-804	214	15	that	that	PRON
cana-804	214	16	are	be	AUX
cana-804	214	17	very	very	ADV
cana-804	214	18	different	different	ADJ
cana-804	214	19	from	from	ADP
cana-804	214	20	these	these	DET
cana-804	214	21	communications	communication	NOUN
cana-804	214	22	on	on	ADP
cana-804	214	23	applied	apply	VERB
cana-804	214	24	nonlinear	nonlinear	ADJ
cana-804	214	25	analysis	analysis	NOUN
cana-804	214	26	issn	issn	NOUN
cana-804	214	27	:	:	PUNCT
cana-804	214	28	1074	1074	NUM
cana-804	214	29	-	-	PUNCT
cana-804	214	30	133x	133x	NUM
cana-804	214	31	vol	vol	NOUN
cana-804	214	32	31	31	NUM
cana-804	214	33	no	no	NOUN
cana-804	214	34	.	.	PUNCT
cana-804	215	1	3s	3s	NUM
cana-804	215	2	(	(	PUNCT
cana-804	215	3	2024	2024	NUM
cana-804	215	4	)	)	PUNCT
cana-804	215	5	513	513	NUM
cana-804	215	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	215	7	trends	trend	NOUN
cana-804	215	8	as	as	ADP
cana-804	215	9	"	"	PUNCT
cana-804	215	10	anomalies	anomaly	NOUN
cana-804	215	11	.	.	PUNCT
cana-804	215	12	"	"	PUNCT
cana-804	216	1	in	in	ADP
cana-804	216	2	anomaly	anomaly	NOUN
cana-804	216	3	detection	detection	NOUN
cana-804	216	4	models	model	NOUN
cana-804	216	5	,	,	PUNCT
cana-804	216	6	oddities	oddity	NOUN
cana-804	216	7	and	and	CCONJ
cana-804	216	8	strange	strange	ADJ
cana-804	216	9	activities	activity	NOUN
cana-804	216	10	in	in	ADP
cana-804	216	11	the	the	DET
cana-804	216	12	network	network	NOUN
cana-804	216	13	are	be	AUX
cana-804	216	14	found	find	VERB
cana-804	216	15	.	.	PUNCT
cana-804	217	1	this	this	PRON
cana-804	217	2	helps	help	VERB
cana-804	217	3	organizations	organization	NOUN
cana-804	217	4	find	find	VERB
cana-804	217	5	possible	possible	ADJ
cana-804	217	6	signs	sign	NOUN
cana-804	217	7	of	of	ADP
cana-804	217	8	compromise	compromise	NOUN
cana-804	217	9	(	(	PUNCT
cana-804	217	10	iocs	ioc	NOUN
cana-804	217	11	)	)	PUNCT
cana-804	217	12	and	and	CCONJ
cana-804	217	13	look	look	VERB
cana-804	217	14	into	into	ADP
cana-804	217	15	suspicious	suspicious	ADJ
cana-804	217	16	behavior	behavior	NOUN
cana-804	217	17	before	before	SCONJ
cana-804	217	18	it	it	PRON
cana-804	217	19	becomes	become	VERB
cana-804	217	20	a	a	DET
cana-804	217	21	full	full	ADV
cana-804	217	22	-	-	PUNCT
cana-804	217	23	blown	blow	VERB
cana-804	217	24	security	security	NOUN
cana-804	217	25	issue.using	issue.use	VERB
cana-804	217	26	past	past	ADJ
cana-804	217	27	data	datum	NOUN
cana-804	217	28	and	and	CCONJ
cana-804	217	29	known	known	ADJ
cana-804	217	30	trends	trend	NOUN
cana-804	217	31	of	of	ADP
cana-804	217	32	cyber	cyber	NOUN
cana-804	217	33	dangers	danger	NOUN
cana-804	217	34	,	,	PUNCT
cana-804	217	35	predictive	predictive	ADJ
cana-804	217	36	modeling	modeling	NOUN
cana-804	217	37	methods	method	NOUN
cana-804	217	38	are	be	AUX
cana-804	217	39	used	use	VERB
cana-804	217	40	to	to	PART
cana-804	217	41	guess	guess	VERB
cana-804	217	42	what	what	PRON
cana-804	217	43	security	security	NOUN
cana-804	217	44	events	event	NOUN
cana-804	217	45	will	will	AUX
cana-804	217	46	happen	happen	VERB
cana-804	217	47	in	in	ADP
cana-804	217	48	the	the	DET
cana-804	217	49	future	future	NOUN
cana-804	217	50	.	.	PUNCT
cana-804	218	1	predictive	predictive	ADJ
cana-804	218	2	models	model	NOUN
cana-804	218	3	can	can	AUX
cana-804	218	4	see	see	VERB
cana-804	218	5	new	new	ADJ
cana-804	218	6	dangers	danger	NOUN
cana-804	218	7	,	,	PUNCT
cana-804	218	8	weaknesses	weakness	NOUN
cana-804	218	9	,	,	PUNCT
cana-804	218	10	or	or	CCONJ
cana-804	218	11	attack	attack	NOUN
cana-804	218	12	routes	route	NOUN
cana-804	218	13	by	by	ADP
cana-804	218	14	looking	look	VERB
cana-804	218	15	at	at	ADP
cana-804	218	16	patterns	pattern	NOUN
cana-804	218	17	and	and	CCONJ
cana-804	218	18	trends	trend	NOUN
cana-804	218	19	in	in	ADP
cana-804	218	20	the	the	DET
cana-804	218	21	data	datum	NOUN
cana-804	218	22	.	.	PUNCT
cana-804	219	1	this	this	PRON
cana-804	219	2	lets	let	VERB
cana-804	219	3	organizations	organization	NOUN
cana-804	219	4	take	take	VERB
cana-804	219	5	preventative	preventative	ADJ
cana-804	219	6	steps	step	NOUN
cana-804	219	7	and	and	CCONJ
cana-804	219	8	make	make	VERB
cana-804	219	9	their	their	PRON
cana-804	219	10	defenses	defense	NOUN
cana-804	219	11	stronger	strong	ADJ
cana-804	219	12	against	against	ADP
cana-804	219	13	possible	possible	ADJ
cana-804	219	14	cyberattacks	cyberattack	NOUN
cana-804	219	15	.	.	PUNCT
cana-804	220	1	during	during	ADP
cana-804	220	2	the	the	DET
cana-804	220	3	threat	threat	NOUN
cana-804	220	4	intelligence	intelligence	NOUN
cana-804	220	5	research	research	NOUN
cana-804	220	6	process	process	NOUN
cana-804	220	7	,	,	PUNCT
cana-804	220	8	companies	company	NOUN
cana-804	220	9	use	use	VERB
cana-804	220	10	the	the	DET
cana-804	220	11	information	information	NOUN
cana-804	220	12	that	that	PRON
cana-804	220	13	machine	machine	NOUN
cana-804	220	14	learning	learning	NOUN
cana-804	220	15	models	model	NOUN
cana-804	220	16	give	give	VERB
cana-804	220	17	them	they	PRON
cana-804	220	18	to	to	PART
cana-804	220	19	make	make	VERB
cana-804	220	20	decisions	decision	NOUN
cana-804	220	21	and	and	CCONJ
cana-804	220	22	plan	plan	VERB
cana-804	220	23	their	their	PRON
cana-804	220	24	defense	defense	NOUN
cana-804	220	25	.	.	PUNCT
cana-804	221	1	organizations	organization	NOUN
cana-804	221	2	can	can	AUX
cana-804	221	3	better	well	ADV
cana-804	221	4	find	find	VERB
cana-804	221	5	,	,	PUNCT
cana-804	221	6	react	react	VERB
cana-804	221	7	to	to	ADP
cana-804	221	8	,	,	PUNCT
cana-804	221	9	and	and	CCONJ
cana-804	221	10	reduce	reduce	VERB
cana-804	221	11	cyber	cyber	NOUN
cana-804	221	12	risks	risk	NOUN
cana-804	221	13	in	in	ADP
cana-804	221	14	a	a	DET
cana-804	221	15	timely	timely	ADJ
cana-804	221	16	and	and	CCONJ
cana-804	221	17	effective	effective	ADJ
cana-804	221	18	way	way	NOUN
cana-804	221	19	by	by	ADP
cana-804	221	20	using	use	VERB
cana-804	221	21	these	these	DET
cana-804	221	22	methods	method	NOUN
cana-804	221	23	in	in	ADP
cana-804	221	24	their	their	PRON
cana-804	221	25	security	security	NOUN
cana-804	221	26	operations	operation	NOUN
cana-804	221	27	.	.	PUNCT
cana-804	222	1	danger	danger	NOUN
cana-804	222	2	data	datum	NOUN
cana-804	222	3	feeds	feed	VERB
cana-804	222	4	and	and	CCONJ
cana-804	222	5	security	security	NOUN
cana-804	222	6	information	information	NOUN
cana-804	222	7	and	and	CCONJ
cana-804	222	8	event	event	NOUN
cana-804	222	9	management	management	NOUN
cana-804	222	10	(	(	PUNCT
cana-804	222	11	siem	siem	NOUN
cana-804	222	12	)	)	PUNCT
cana-804	222	13	tools	tool	NOUN
cana-804	222	14	can	can	AUX
cana-804	222	15	be	be	AUX
cana-804	222	16	used	use	VERB
cana-804	222	17	with	with	ADP
cana-804	222	18	machine	machine	NOUN
cana-804	222	19	learning	learning	NOUN
cana-804	222	20	models	model	NOUN
cana-804	222	21	to	to	PART
cana-804	222	22	make	make	VERB
cana-804	222	23	danger	danger	NOUN
cana-804	222	24	identification	identification	NOUN
cana-804	222	25	and	and	CCONJ
cana-804	222	26	reaction	reaction	NOUN
cana-804	222	27	more	more	ADV
cana-804	222	28	effective	effective	ADJ
cana-804	222	29	overall	overall	ADV
cana-804	222	30	.	.	PUNCT
cana-804	223	1	by	by	ADP
cana-804	223	2	connecting	connect	VERB
cana-804	223	3	what	what	PRON
cana-804	223	4	machine	machine	NOUN
cana-804	223	5	learning	learning	NOUN
cana-804	223	6	models	model	NOUN
cana-804	223	7	learn	learn	VERB
cana-804	223	8	with	with	ADP
cana-804	223	9	realtime	realtime	NOUN
cana-804	223	10	threat	threat	NOUN
cana-804	223	11	intelligence	intelligence	NOUN
cana-804	223	12	data	datum	NOUN
cana-804	223	13	,	,	PUNCT
cana-804	223	14	businesses	business	NOUN
cana-804	223	15	can	can	AUX
cana-804	223	16	get	get	VERB
cana-804	223	17	a	a	DET
cana-804	223	18	full	full	ADJ
cana-804	223	19	picture	picture	NOUN
cana-804	223	20	of	of	ADP
cana-804	223	21	the	the	DET
cana-804	223	22	threats	threat	NOUN
cana-804	223	23	they	they	PRON
cana-804	223	24	face	face	VERB
cana-804	223	25	and	and	CCONJ
cana-804	223	26	make	make	VERB
cana-804	223	27	changes	change	NOUN
cana-804	223	28	to	to	ADP
cana-804	223	29	their	their	PRON
cana-804	223	30	defenses	defense	NOUN
cana-804	223	31	as	as	SCONJ
cana-804	223	32	needed	need	VERB
cana-804	223	33	.	.	PUNCT
cana-804	224	1	machine	machine	NOUN
cana-804	224	2	learning	learning	NOUN
cana-804	224	3	-	-	PUNCT
cana-804	224	4	powered	power	VERB
cana-804	224	5	threat	threat	NOUN
cana-804	224	6	intelligence	intelligence	NOUN
cana-804	224	7	research	research	NOUN
cana-804	224	8	helps	help	VERB
cana-804	224	9	businesses	business	NOUN
cana-804	224	10	evaluate	evaluate	VERB
cana-804	224	11	cyber	cyber	ADJ
cana-804	224	12	risks	risk	NOUN
cana-804	224	13	,	,	PUNCT
cana-804	224	14	find	find	VERB
cana-804	224	15	outliers	outlier	NOUN
cana-804	224	16	,	,	PUNCT
cana-804	224	17	spot	spot	NOUN
cana-804	224	18	signs	sign	NOUN
cana-804	224	19	of	of	ADP
cana-804	224	20	exposure	exposure	NOUN
cana-804	224	21	,	,	PUNCT
cana-804	224	22	and	and	CCONJ
cana-804	224	23	guess	guess	VERB
cana-804	224	24	what	what	PRON
cana-804	224	25	security	security	NOUN
cana-804	224	26	events	event	NOUN
cana-804	224	27	will	will	AUX
cana-804	224	28	happen	happen	VERB
cana-804	224	29	in	in	ADP
cana-804	224	30	the	the	DET
cana-804	224	31	future	future	NOUN
cana-804	224	32	.	.	PUNCT
cana-804	225	1	with	with	ADP
cana-804	225	2	the	the	DET
cana-804	225	3	danger	danger	NOUN
cana-804	225	4	situation	situation	NOUN
cana-804	225	5	changing	change	VERB
cana-804	225	6	so	so	ADV
cana-804	225	7	quickly	quickly	ADV
cana-804	225	8	these	these	DET
cana-804	225	9	days	day	NOUN
cana-804	225	10	,	,	PUNCT
cana-804	225	11	companies	company	NOUN
cana-804	225	12	can	can	AUX
cana-804	225	13	improve	improve	VERB
cana-804	225	14	their	their	PRON
cana-804	225	15	cybersecurity	cybersecurity	NOUN
cana-804	225	16	and	and	CCONJ
cana-804	225	17	stay	stay	VERB
cana-804	225	18	ahead	ahead	ADV
cana-804	225	19	of	of	ADP
cana-804	225	20	new	new	ADJ
cana-804	225	21	threats	threat	NOUN
cana-804	225	22	by	by	ADP
cana-804	225	23	using	use	VERB
cana-804	225	24	machine	machine	NOUN
cana-804	225	25	learning	learning	NOUN
cana-804	225	26	models	model	NOUN
cana-804	225	27	.	.	PUNCT
cana-804	226	1	5	5	X
cana-804	226	2	.	.	X
cana-804	226	3	iterative	iterative	NOUN
cana-804	226	4	refinement	refinement	NOUN
cana-804	226	5	:	:	PUNCT
cana-804	226	6	iterative	iterative	NOUN
cana-804	226	7	revision	revision	NOUN
cana-804	226	8	is	be	AUX
cana-804	226	9	an	an	DET
cana-804	226	10	important	important	ADJ
cana-804	226	11	part	part	NOUN
cana-804	226	12	of	of	ADP
cana-804	226	13	the	the	DET
cana-804	226	14	threat	threat	NOUN
cana-804	226	15	intelligence	intelligence	NOUN
cana-804	226	16	analysis	analysis	NOUN
cana-804	226	17	method	method	NOUN
cana-804	226	18	because	because	SCONJ
cana-804	226	19	it	it	PRON
cana-804	226	20	lets	let	VERB
cana-804	226	21	you	you	PRON
cana-804	226	22	keep	keep	VERB
cana-804	226	23	getting	get	VERB
cana-804	226	24	better	well	ADJ
cana-804	226	25	and	and	CCONJ
cana-804	226	26	adapt	adapt	VERB
cana-804	226	27	to	to	ADP
cana-804	226	28	new	new	ADJ
cana-804	226	29	cyber	cyber	NOUN
cana-804	226	30	dangers	danger	NOUN
cana-804	226	31	.	.	PUNCT
cana-804	227	1	asking	ask	VERB
cana-804	227	2	cybersecurity	cybersecurity	NOUN
cana-804	227	3	experts	expert	NOUN
cana-804	227	4	and	and	CCONJ
cana-804	227	5	other	other	ADJ
cana-804	227	6	interested	interested	ADJ
cana-804	227	7	parties	party	NOUN
cana-804	227	8	for	for	ADP
cana-804	227	9	feedback	feedback	NOUN
cana-804	227	10	,	,	PUNCT
cana-804	227	11	adding	add	VERB
cana-804	227	12	domain	domain	NOUN
cana-804	227	13	-	-	PUNCT
cana-804	227	14	specific	specific	ADJ
cana-804	227	15	knowledge	knowledge	NOUN
cana-804	227	16	,	,	PUNCT
cana-804	227	17	and	and	CCONJ
cana-804	227	18	keeping	keep	VERB
cana-804	227	19	the	the	DET
cana-804	227	20	method	method	NOUN
cana-804	227	21	up	up	ADP
cana-804	227	22	to	to	ADP
cana-804	227	23	date	date	NOUN
cana-804	227	24	to	to	PART
cana-804	227	25	deal	deal	VERB
cana-804	227	26	with	with	ADP
cana-804	227	27	new	new	ADJ
cana-804	227	28	challenges	challenge	NOUN
cana-804	227	29	and	and	CCONJ
cana-804	227	30	needs	need	NOUN
cana-804	227	31	are	be	AUX
cana-804	227	32	all	all	PRON
cana-804	227	33	parts	part	NOUN
cana-804	227	34	of	of	ADP
cana-804	227	35	this	this	DET
cana-804	227	36	process	process	NOUN
cana-804	227	37	.	.	PUNCT
cana-804	228	1	cybersecurity	cybersecurity	NOUN
cana-804	228	2	experts	expert	NOUN
cana-804	228	3	are	be	AUX
cana-804	228	4	very	very	ADV
cana-804	228	5	important	important	ADJ
cana-804	228	6	because	because	SCONJ
cana-804	228	7	they	they	PRON
cana-804	228	8	can	can	AUX
cana-804	228	9	give	give	VERB
cana-804	228	10	us	we	PRON
cana-804	228	11	a	a	DET
cana-804	228	12	lot	lot	NOUN
cana-804	228	13	of	of	ADP
cana-804	228	14	useful	useful	ADJ
cana-804	228	15	information	information	NOUN
cana-804	228	16	about	about	ADP
cana-804	228	17	how	how	SCONJ
cana-804	228	18	well	well	ADV
cana-804	228	19	and	and	CCONJ
cana-804	228	20	how	how	SCONJ
cana-804	228	21	easily	easily	ADV
cana-804	228	22	the	the	DET
cana-804	228	23	planned	plan	VERB
cana-804	228	24	method	method	NOUN
cana-804	228	25	can	can	AUX
cana-804	228	26	be	be	AUX
cana-804	228	27	used	use	VERB
cana-804	228	28	.	.	PUNCT
cana-804	229	1	organizations	organization	NOUN
cana-804	229	2	can	can	AUX
cana-804	229	3	learn	learn	VERB
cana-804	229	4	more	more	ADJ
cana-804	229	5	about	about	ADP
cana-804	229	6	the	the	DET
cana-804	229	7	practical	practical	ADJ
cana-804	229	8	facts	fact	NOUN
cana-804	229	9	and	and	CCONJ
cana-804	229	10	limitations	limitation	NOUN
cana-804	229	11	faced	face	VERB
cana-804	229	12	in	in	ADP
cana-804	229	13	real	real	ADJ
cana-804	229	14	-	-	PUNCT
cana-804	229	15	world	world	NOUN
cana-804	229	16	cybersecurity	cybersecurity	NOUN
cana-804	229	17	settings	setting	NOUN
cana-804	229	18	by	by	ADP
cana-804	229	19	having	have	VERB
cana-804	229	20	regular	regular	ADJ
cana-804	229	21	talks	talk	NOUN
cana-804	229	22	,	,	PUNCT
cana-804	229	23	training	training	NOUN
cana-804	229	24	,	,	PUNCT
cana-804	229	25	and	and	CCONJ
cana-804	229	26	feedback	feedback	NOUN
cana-804	229	27	meetings	meeting	NOUN
cana-804	229	28	with	with	ADP
cana-804	229	29	practitioners	practitioner	NOUN
cana-804	229	30	.	.	PUNCT
cana-804	230	1	this	this	DET
cana-804	230	2	input	input	NOUN
cana-804	230	3	is	be	AUX
cana-804	230	4	used	use	VERB
cana-804	230	5	to	to	PART
cana-804	230	6	make	make	VERB
cana-804	230	7	changes	change	NOUN
cana-804	230	8	and	and	CCONJ
cana-804	230	9	improvements	improvement	NOUN
cana-804	230	10	to	to	ADP
cana-804	230	11	the	the	DET
cana-804	230	12	method	method	NOUN
cana-804	230	13	,	,	PUNCT
cana-804	230	14	making	make	VERB
cana-804	230	15	sure	sure	ADJ
cana-804	230	16	it	it	PRON
cana-804	230	17	stays	stay	VERB
cana-804	230	18	useful	useful	ADJ
cana-804	230	19	,	,	PUNCT
cana-804	230	20	usable	usable	ADJ
cana-804	230	21	,	,	PUNCT
cana-804	230	22	and	and	CCONJ
cana-804	230	23	in	in	ADP
cana-804	230	24	line	line	NOUN
cana-804	230	25	with	with	ADP
cana-804	230	26	the	the	DET
cana-804	230	27	organization	organization	NOUN
cana-804	230	28	's	's	PART
cana-804	230	29	needs	need	NOUN
cana-804	230	30	.	.	PUNCT
cana-804	231	1	it	it	PRON
cana-804	231	2	is	be	AUX
cana-804	231	3	important	important	ADJ
cana-804	231	4	to	to	PART
cana-804	231	5	include	include	VERB
cana-804	231	6	domain	domain	NOUN
cana-804	231	7	-	-	PUNCT
cana-804	231	8	specific	specific	ADJ
cana-804	231	9	information	information	NOUN
cana-804	231	10	in	in	ADP
cana-804	231	11	order	order	NOUN
cana-804	231	12	to	to	PART
cana-804	231	13	make	make	VERB
cana-804	231	14	the	the	DET
cana-804	231	15	approach	approach	NOUN
cana-804	231	16	fit	fit	VERB
cana-804	231	17	the	the	DET
cana-804	231	18	organization	organization	NOUN
cana-804	231	19	's	's	PART
cana-804	231	20	specific	specific	ADJ
cana-804	231	21	needs	need	NOUN
cana-804	231	22	and	and	CCONJ
cana-804	231	23	threats	threat	NOUN
cana-804	231	24	.	.	PUNCT
cana-804	232	1	this	this	PRON
cana-804	232	2	could	could	AUX
cana-804	232	3	mean	mean	VERB
cana-804	232	4	getting	get	VERB
cana-804	232	5	help	help	NOUN
cana-804	232	6	from	from	ADP
cana-804	232	7	computer	computer	NOUN
cana-804	232	8	experts	expert	NOUN
cana-804	232	9	,	,	PUNCT
cana-804	232	10	threat	threat	NOUN
cana-804	232	11	intelligence	intelligence	NOUN
cana-804	232	12	researchers	researcher	NOUN
cana-804	232	13	,	,	PUNCT
cana-804	232	14	and	and	CCONJ
cana-804	232	15	subject	subject	ADJ
cana-804	232	16	matter	matter	NOUN
cana-804	232	17	experts	expert	NOUN
cana-804	232	18	to	to	PART
cana-804	232	19	improve	improve	VERB
cana-804	232	20	how	how	SCONJ
cana-804	232	21	data	datum	NOUN
cana-804	232	22	is	be	AUX
cana-804	232	23	collected	collect	VERB
cana-804	232	24	,	,	PUNCT
cana-804	232	25	how	how	SCONJ
cana-804	232	26	features	feature	NOUN
cana-804	232	27	are	be	AUX
cana-804	232	28	chosen	choose	VERB
cana-804	232	29	,	,	PUNCT
cana-804	232	30	and	and	CCONJ
cana-804	232	31	how	how	SCONJ
cana-804	232	32	models	model	NOUN
cana-804	232	33	are	be	AUX
cana-804	232	34	interpreted	interpret	VERB
cana-804	232	35	.	.	PUNCT
cana-804	233	1	organizations	organization	NOUN
cana-804	233	2	can	can	AUX
cana-804	233	3	make	make	VERB
cana-804	233	4	the	the	DET
cana-804	233	5	threat	threat	NOUN
cana-804	233	6	intelligence	intelligence	NOUN
cana-804	233	7	analysis	analysis	NOUN
cana-804	233	8	process	process	NOUN
cana-804	233	9	more	more	ADV
cana-804	233	10	accurate	accurate	ADJ
cana-804	233	11	,	,	PUNCT
cana-804	233	12	useful	useful	ADJ
cana-804	233	13	,	,	PUNCT
cana-804	233	14	and	and	CCONJ
cana-804	233	15	applicable	applicable	ADJ
cana-804	233	16	by	by	ADP
cana-804	233	17	adding	add	VERB
cana-804	233	18	domain	domain	NOUN
cana-804	233	19	-	-	PUNCT
cana-804	233	20	specific	specific	ADJ
cana-804	233	21	insights	insight	NOUN
cana-804	233	22	to	to	ADP
cana-804	233	23	the	the	DET
cana-804	233	24	approach	approach	NOUN
cana-804	233	25	.	.	PUNCT
cana-804	234	1	to	to	PART
cana-804	234	2	stay	stay	VERB
cana-804	234	3	ahead	ahead	ADV
cana-804	234	4	of	of	ADP
cana-804	234	5	new	new	ADJ
cana-804	234	6	online	online	ADJ
cana-804	234	7	dangers	danger	NOUN
cana-804	234	8	,	,	PUNCT
cana-804	234	9	you	you	PRON
cana-804	234	10	need	need	VERB
cana-804	234	11	to	to	PART
cana-804	234	12	keep	keep	VERB
cana-804	234	13	an	an	DET
cana-804	234	14	eye	eye	NOUN
cana-804	234	15	on	on	ADP
cana-804	234	16	rising	rise	VERB
cana-804	234	17	threats	threat	NOUN
cana-804	234	18	and	and	CCONJ
cana-804	234	19	trends	trend	NOUN
cana-804	234	20	all	all	DET
cana-804	234	21	the	the	DET
cana-804	234	22	time	time	NOUN
cana-804	234	23	.	.	PUNCT
cana-804	235	1	organizations	organization	NOUN
cana-804	235	2	need	need	VERB
cana-804	235	3	to	to	PART
cana-804	235	4	stay	stay	VERB
cana-804	235	5	alert	alert	ADJ
cana-804	235	6	and	and	CCONJ
cana-804	235	7	take	take	VERB
cana-804	235	8	the	the	DET
cana-804	235	9	initiative	initiative	NOUN
cana-804	235	10	to	to	PART
cana-804	235	11	find	find	VERB
cana-804	235	12	new	new	ADJ
cana-804	235	13	attack	attack	NOUN
cana-804	235	14	routes	route	NOUN
cana-804	235	15	,	,	PUNCT
cana-804	235	16	methods	method	NOUN
cana-804	235	17	,	,	PUNCT
cana-804	235	18	and	and	CCONJ
cana-804	235	19	techniques	technique	NOUN
cana-804	235	20	that	that	PRON
cana-804	235	21	their	their	PRON
cana-804	235	22	enemies	enemy	NOUN
cana-804	235	23	are	be	AUX
cana-804	235	24	using	use	VERB
cana-804	235	25	.	.	PUNCT
cana-804	236	1	organizations	organization	NOUN
cana-804	236	2	can	can	AUX
cana-804	236	3	adapt	adapt	VERB
cana-804	236	4	to	to	ADP
cana-804	236	5	changing	change	VERB
cana-804	236	6	threat	threat	NOUN
cana-804	236	7	scenarios	scenario	NOUN
cana-804	236	8	and	and	CCONJ
cana-804	236	9	make	make	VERB
cana-804	236	10	sure	sure	ADJ
cana-804	236	11	their	their	PRON
cana-804	236	12	threat	threat	NOUN
cana-804	236	13	intelligence	intelligence	NOUN
cana-804	236	14	research	research	NOUN
cana-804	236	15	stays	stay	VERB
cana-804	236	16	up	up	ADP
cana-804	236	17	-	-	PUNCT
cana-804	236	18	to	to	ADP
cana-804	236	19	-	-	PUNCT
cana-804	236	20	date	date	NOUN
cana-804	236	21	and	and	CCONJ
cana-804	236	22	useful	useful	ADJ
cana-804	236	23	by	by	ADP
cana-804	236	24	constantly	constantly	ADV
cana-804	236	25	feeding	feed	VERB
cana-804	236	26	new	new	ADJ
cana-804	236	27	data	datum	NOUN
cana-804	236	28	into	into	ADP
cana-804	236	29	machine	machine	NOUN
cana-804	236	30	learning	learning	NOUN
cana-804	236	31	models	model	NOUN
cana-804	236	32	and	and	CCONJ
cana-804	236	33	retraining	retrain	VERB
cana-804	236	34	them	they	PRON
cana-804	236	35	.	.	PUNCT
cana-804	237	1	this	this	DET
cana-804	237	2	iterative	iterative	NOUN
cana-804	237	3	method	method	NOUN
cana-804	237	4	helps	help	VERB
cana-804	237	5	organizations	organization	NOUN
cana-804	237	6	stay	stay	VERB
cana-804	237	7	flexible	flexible	ADJ
cana-804	237	8	and	and	CCONJ
cana-804	237	9	quick	quick	ADJ
cana-804	237	10	to	to	PART
cana-804	237	11	react	react	VERB
cana-804	237	12	to	to	ADP
cana-804	237	13	changing	change	VERB
cana-804	237	14	cyber	cyber	NOUN
cana-804	237	15	dangers	danger	NOUN
cana-804	237	16	,	,	PUNCT
cana-804	237	17	which	which	PRON
cana-804	237	18	lets	let	VERB
cana-804	237	19	them	they	PRON
cana-804	237	20	successfully	successfully	ADV
cana-804	237	21	predict	predict	VERB
cana-804	237	22	,	,	PUNCT
cana-804	237	23	find	find	VERB
cana-804	237	24	,	,	PUNCT
cana-804	237	25	and	and	CCONJ
cana-804	237	26	reduce	reduce	VERB
cana-804	237	27	new	new	ADJ
cana-804	237	28	security	security	NOUN
cana-804	237	29	risks	risk	NOUN
cana-804	237	30	.	.	PUNCT
cana-804	238	1	communications	communication	NOUN
cana-804	238	2	on	on	ADP
cana-804	238	3	applied	apply	VERB
cana-804	238	4	nonlinear	nonlinear	ADJ
cana-804	238	5	analysis	analysis	NOUN
cana-804	238	6	issn	issn	NOUN
cana-804	238	7	:	:	PUNCT
cana-804	238	8	1074	1074	NUM
cana-804	238	9	-	-	PUNCT
cana-804	238	10	133x	133x	NUM
cana-804	238	11	vol	vol	NOUN
cana-804	238	12	31	31	NUM
cana-804	238	13	no	no	NOUN
cana-804	238	14	.	.	PUNCT
cana-804	239	1	3s	3s	NUM
cana-804	239	2	(	(	PUNCT
cana-804	239	3	2024	2024	NUM
cana-804	239	4	)	)	PUNCT
cana-804	239	5	514	514	NUM
cana-804	239	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	239	7	5.result	5.result	NUM
cana-804	239	8	and	and	CCONJ
cana-804	239	9	discussion	discussion	NOUN
cana-804	239	10	different	different	ADJ
cana-804	239	11	machine	machine	NOUN
cana-804	239	12	learning	learn	VERB
cana-804	239	13	methods	method	NOUN
cana-804	239	14	for	for	ADP
cana-804	239	15	classification	classification	NOUN
cana-804	239	16	tasks	task	NOUN
cana-804	239	17	are	be	AUX
cana-804	239	18	shown	show	VERB
cana-804	239	19	in	in	ADP
cana-804	239	20	table	table	NOUN
cana-804	239	21	(	(	PUNCT
cana-804	239	22	2	2	NUM
cana-804	239	23	)	)	PUNCT
cana-804	239	24	.	.	PUNCT
cana-804	240	1	these	these	PRON
cana-804	240	2	include	include	VERB
cana-804	240	3	support	support	NOUN
cana-804	240	4	vector	vector	NOUN
cana-804	240	5	machines	machine	NOUN
cana-804	240	6	(	(	PUNCT
cana-804	240	7	svm	svm	PROPN
cana-804	240	8	)	)	PUNCT
cana-804	240	9	,	,	PUNCT
cana-804	240	10	decision	decision	NOUN
cana-804	240	11	trees	tree	NOUN
cana-804	240	12	,	,	PUNCT
cana-804	240	13	random	random	ADJ
cana-804	240	14	forests	forest	NOUN
cana-804	240	15	,	,	PUNCT
cana-804	240	16	logistic	logistic	ADJ
cana-804	240	17	regression	regression	NOUN
cana-804	240	18	,	,	PUNCT
cana-804	240	19	and	and	CCONJ
cana-804	240	20	knearest	knearest	NOUN
cana-804	240	21	neighbors	neighbor	NOUN
cana-804	240	22	(	(	PUNCT
cana-804	240	23	knn	knn	PROPN
cana-804	240	24	)	)	PUNCT
cana-804	240	25	.	.	PUNCT
cana-804	241	1	auc	auc	NOUN
cana-804	241	2	(	(	PUNCT
cana-804	241	3	area	area	NOUN
cana-804	241	4	under	under	ADP
cana-804	241	5	the	the	DET
cana-804	241	6	receiver	receiver	NOUN
cana-804	241	7	operating	operate	VERB
cana-804	241	8	characteristic	characteristic	ADJ
cana-804	241	9	curve	curve	NOUN
cana-804	241	10	)	)	PUNCT
cana-804	241	11	and	and	CCONJ
cana-804	241	12	accuracy	accuracy	NOUN
cana-804	241	13	,	,	PUNCT
cana-804	241	14	precision	precision	NOUN
cana-804	241	15	,	,	PUNCT
cana-804	241	16	recall	recall	NOUN
cana-804	241	17	,	,	PUNCT
cana-804	241	18	f1	f1	NOUN
cana-804	241	19	score	score	NOUN
cana-804	241	20	,	,	PUNCT
cana-804	241	21	and	and	CCONJ
cana-804	241	22	f1	f1	NOUN
cana-804	241	23	score	score	NOUN
cana-804	241	24	are	be	AUX
cana-804	241	25	some	some	PRON
cana-804	241	26	of	of	ADP
cana-804	241	27	the	the	DET
cana-804	241	28	most	most	ADV
cana-804	241	29	important	important	ADJ
cana-804	241	30	measures	measure	NOUN
cana-804	241	31	that	that	PRON
cana-804	241	32	were	be	AUX
cana-804	241	33	used	use	VERB
cana-804	241	34	to	to	PART
cana-804	241	35	judge	judge	VERB
cana-804	241	36	these	these	DET
cana-804	241	37	algorithms	algorithm	NOUN
cana-804	241	38	.	.	PUNCT
cana-804	242	1	support	support	NOUN
cana-804	242	2	vector	vector	NOUN
cana-804	242	3	machines	machine	NOUN
cana-804	242	4	(	(	PUNCT
cana-804	242	5	svm	svm	PROPN
cana-804	242	6	)	)	PUNCT
cana-804	242	7	got	get	VERB
cana-804	242	8	an	an	DET
cana-804	242	9	accuracy	accuracy	NOUN
cana-804	242	10	score	score	NOUN
cana-804	242	11	of	of	ADP
cana-804	242	12	89.8	89.8	NUM
cana-804	242	13	%	%	NOUN
cana-804	242	14	,	,	PUNCT
cana-804	242	15	a	a	DET
cana-804	242	16	precision	precision	NOUN
cana-804	242	17	score	score	NOUN
cana-804	242	18	of	of	ADP
cana-804	242	19	90.8	90.8	NUM
cana-804	242	20	%	%	NOUN
cana-804	242	21	,	,	PUNCT
cana-804	242	22	and	and	CCONJ
cana-804	242	23	a	a	DET
cana-804	242	24	recall	recall	NOUN
cana-804	242	25	score	score	NOUN
cana-804	242	26	of	of	ADP
cana-804	242	27	91.5	91.5	NUM
cana-804	242	28	%	%	NOUN
cana-804	242	29	.	.	PUNCT
cana-804	243	1	this	this	PRON
cana-804	243	2	gave	give	VERB
cana-804	243	3	them	they	PRON
cana-804	243	4	an	an	DET
cana-804	243	5	adjusted	adjusted	ADJ
cana-804	243	6	f1	f1	NOUN
cana-804	243	7	score	score	NOUN
cana-804	243	8	of	of	ADP
cana-804	243	9	91.6	91.6	NUM
cana-804	243	10	%	%	NOUN
cana-804	243	11	and	and	CCONJ
cana-804	243	12	an	an	DET
cana-804	243	13	auc	auc	ADJ
cana-804	243	14	score	score	NOUN
cana-804	243	15	of	of	ADP
cana-804	243	16	92.1	92.1	NUM
cana-804	243	17	%	%	NOUN
cana-804	243	18	.	.	PUNCT
cana-804	244	1	the	the	DET
cana-804	244	2	accuracy	accuracy	NOUN
cana-804	244	3	of	of	ADP
cana-804	244	4	decision	decision	NOUN
cana-804	244	5	trees	tree	NOUN
cana-804	244	6	was	be	AUX
cana-804	244	7	89.5	89.5	NUM
cana-804	244	8	%	%	NOUN
cana-804	244	9	,	,	PUNCT
cana-804	244	10	while	while	SCONJ
cana-804	244	11	their	their	PRON
cana-804	244	12	precision	precision	NOUN
cana-804	244	13	,	,	PUNCT
cana-804	244	14	recall	recall	NOUN
cana-804	244	15	,	,	PUNCT
cana-804	244	16	f1	f1	NOUN
cana-804	244	17	score	score	NOUN
cana-804	244	18	,	,	PUNCT
cana-804	244	19	and	and	CCONJ
cana-804	244	20	auc	auc	NOUN
cana-804	244	21	scores	score	NOUN
cana-804	244	22	were	be	AUX
cana-804	244	23	86.2	86.2	NUM
cana-804	244	24	%	%	NOUN
cana-804	244	25	,	,	PUNCT
cana-804	244	26	88.1	88.1	NUM
cana-804	244	27	%	%	NOUN
cana-804	244	28	,	,	PUNCT
cana-804	244	29	87.1	87.1	NUM
cana-804	244	30	%	%	NOUN
cana-804	244	31	,	,	PUNCT
cana-804	244	32	and	and	CCONJ
cana-804	244	33	92.3	92.3	NUM
cana-804	244	34	%	%	NOUN
cana-804	244	35	,	,	PUNCT
cana-804	244	36	respectively	respectively	ADV
cana-804	244	37	.	.	PUNCT
cana-804	245	1	random	random	ADJ
cana-804	245	2	forests	forest	NOUN
cana-804	245	3	did	do	VERB
cana-804	245	4	better	well	ADV
cana-804	245	5	than	than	ADP
cana-804	245	6	all	all	PRON
cana-804	245	7	of	of	ADP
cana-804	245	8	the	the	DET
cana-804	245	9	other	other	ADJ
cana-804	245	10	algorithms	algorithm	NOUN
cana-804	245	11	mentioned	mention	VERB
cana-804	245	12	.	.	PUNCT
cana-804	246	1	it	it	PRON
cana-804	246	2	had	have	VERB
cana-804	246	3	the	the	DET
cana-804	246	4	best	good	ADJ
cana-804	246	5	accuracy	accuracy	NOUN
cana-804	246	6	(	(	PUNCT
cana-804	246	7	92.8	92.8	NUM
cana-804	246	8	%	%	NOUN
cana-804	246	9	)	)	PUNCT
cana-804	246	10	,	,	PUNCT
cana-804	246	11	as	as	ADV
cana-804	246	12	well	well	ADV
cana-804	246	13	as	as	ADP
cana-804	246	14	good	good	ADJ
cana-804	246	15	precision	precision	NOUN
cana-804	246	16	(	(	PUNCT
cana-804	246	17	93.3	93.3	NUM
cana-804	246	18	%	%	NOUN
cana-804	246	19	)	)	PUNCT
cana-804	246	20	,	,	PUNCT
cana-804	246	21	recall	recall	INTJ
cana-804	246	22	(	(	PUNCT
cana-804	246	23	95.1	95.1	NUM
cana-804	246	24	%	%	NOUN
cana-804	246	25	)	)	PUNCT
cana-804	246	26	,	,	PUNCT
cana-804	246	27	f1	f1	NOUN
cana-804	246	28	score	score	NOUN
cana-804	246	29	(	(	PUNCT
cana-804	246	30	94.2	94.2	NUM
cana-804	246	31	%	%	NOUN
cana-804	246	32	)	)	PUNCT
cana-804	246	33	,	,	PUNCT
cana-804	246	34	and	and	CCONJ
cana-804	246	35	auc	auc	NOUN
cana-804	246	36	(	(	PUNCT
cana-804	246	37	95.2	95.2	NUM
cana-804	246	38	%	%	NOUN
cana-804	246	39	)	)	PUNCT
cana-804	246	40	.	.	PUNCT
cana-804	247	1	a	a	DET
cana-804	247	2	different	different	ADJ
cana-804	247	3	popular	popular	ADJ
cana-804	247	4	method	method	NOUN
cana-804	247	5	called	call	VERB
cana-804	247	6	logistic	logistic	ADJ
cana-804	247	7	regression	regression	NOUN
cana-804	247	8	got	get	VERB
cana-804	247	9	an	an	DET
cana-804	247	10	accuracy	accuracy	NOUN
cana-804	247	11	of	of	ADP
cana-804	247	12	91.7	91.7	NUM
cana-804	247	13	%	%	NOUN
cana-804	247	14	,	,	PUNCT
cana-804	247	15	with	with	ADP
cana-804	247	16	88.5	88.5	NUM
cana-804	247	17	%	%	NOUN
cana-804	247	18	for	for	ADP
cana-804	247	19	precision	precision	NOUN
cana-804	247	20	,	,	PUNCT
cana-804	247	21	90.2	90.2	NUM
cana-804	247	22	%	%	NOUN
cana-804	247	23	for	for	ADP
cana-804	247	24	recall	recall	NOUN
cana-804	247	25	,	,	PUNCT
cana-804	247	26	89.3	89.3	NUM
cana-804	247	27	%	%	NOUN
cana-804	247	28	for	for	ADP
cana-804	247	29	auc	auc	NOUN
cana-804	247	30	,	,	PUNCT
cana-804	247	31	and	and	CCONJ
cana-804	247	32	94.7	94.7	NUM
cana-804	247	33	%	%	NOUN
cana-804	247	34	for	for	ADP
cana-804	247	35	auc	auc	NOUN
cana-804	247	36	.	.	PUNCT
cana-804	248	1	finally	finally	ADV
cana-804	248	2	,	,	PUNCT
cana-804	248	3	k	k	ADJ
cana-804	248	4	-	-	PUNCT
cana-804	248	5	nearest	near	ADJ
cana-804	248	6	neighbors	neighbor	NOUN
cana-804	248	7	(	(	PUNCT
cana-804	248	8	knn	knn	PROPN
cana-804	248	9	)	)	PUNCT
cana-804	248	10	had	have	VERB
cana-804	248	11	an	an	DET
cana-804	248	12	accuracy	accuracy	NOUN
cana-804	248	13	of	of	ADP
cana-804	248	14	93.4	93.4	NUM
cana-804	248	15	%	%	NOUN
cana-804	248	16	,	,	PUNCT
cana-804	248	17	with	with	ADP
cana-804	248	18	scores	score	NOUN
cana-804	248	19	of	of	ADP
cana-804	248	20	90.7	90.7	NUM
cana-804	248	21	%	%	NOUN
cana-804	248	22	for	for	ADP
cana-804	248	23	precision	precision	NOUN
cana-804	248	24	,	,	PUNCT
cana-804	248	25	92.3	92.3	NUM
cana-804	248	26	%	%	NOUN
cana-804	248	27	for	for	ADP
cana-804	248	28	recall	recall	NOUN
cana-804	248	29	,	,	PUNCT
cana-804	248	30	90.5	90.5	NUM
cana-804	248	31	%	%	NOUN
cana-804	248	32	for	for	ADP
cana-804	248	33	auc	auc	NOUN
cana-804	248	34	,	,	PUNCT
cana-804	248	35	and	and	CCONJ
cana-804	248	36	91	91	NUM
cana-804	248	37	%	%	NOUN
cana-804	248	38	for	for	ADP
cana-804	248	39	auc	auc	NOUN
cana-804	248	40	.	.	PUNCT
cana-804	249	1	these	these	DET
cana-804	249	2	results	result	NOUN
cana-804	249	3	give	give	VERB
cana-804	249	4	us	we	PRON
cana-804	249	5	an	an	DET
cana-804	249	6	idea	idea	NOUN
cana-804	249	7	of	of	ADP
cana-804	249	8	how	how	SCONJ
cana-804	249	9	well	well	ADV
cana-804	249	10	different	different	ADJ
cana-804	249	11	machine	machine	NOUN
cana-804	249	12	learning	learn	VERB
cana-804	249	13	methods	method	NOUN
cana-804	249	14	work	work	VERB
cana-804	249	15	for	for	ADP
cana-804	249	16	sorting	sort	VERB
cana-804	249	17	jobs	job	NOUN
cana-804	249	18	.	.	PUNCT
cana-804	250	1	even	even	ADV
cana-804	250	2	though	though	SCONJ
cana-804	250	3	svm	svm	ADJ
cana-804	250	4	,	,	PUNCT
cana-804	250	5	decision	decision	NOUN
cana-804	250	6	trees	tree	NOUN
cana-804	250	7	,	,	PUNCT
cana-804	250	8	logistic	logistic	ADJ
cana-804	250	9	regression	regression	NOUN
cana-804	250	10	,	,	PUNCT
cana-804	250	11	and	and	CCONJ
cana-804	250	12	knn	knn	PROPN
cana-804	250	13	all	all	PRON
cana-804	250	14	do	do	VERB
cana-804	250	15	pretty	pretty	ADV
cana-804	250	16	well	well	ADV
cana-804	250	17	,	,	PUNCT
cana-804	250	18	random	random	ADJ
cana-804	250	19	forests	forest	NOUN
cana-804	250	20	is	be	AUX
cana-804	250	21	clearly	clearly	ADV
cana-804	250	22	the	the	DET
cana-804	250	23	best	good	ADJ
cana-804	250	24	method	method	NOUN
cana-804	250	25	when	when	SCONJ
cana-804	250	26	it	it	PRON
cana-804	250	27	comes	come	VERB
cana-804	250	28	to	to	ADP
cana-804	250	29	accuracy	accuracy	NOUN
cana-804	250	30	and	and	CCONJ
cana-804	250	31	other	other	ADJ
cana-804	250	32	rating	rating	NOUN
cana-804	250	33	measures	measure	NOUN
cana-804	250	34	.	.	PUNCT
cana-804	251	1	but	but	CCONJ
cana-804	251	2	when	when	SCONJ
cana-804	251	3	picking	pick	VERB
cana-804	251	4	an	an	DET
cana-804	251	5	algorithm	algorithm	NOUN
cana-804	251	6	,	,	PUNCT
cana-804	251	7	things	thing	NOUN
cana-804	251	8	like	like	ADP
cana-804	251	9	how	how	SCONJ
cana-804	251	10	fast	fast	ADV
cana-804	251	11	it	it	PRON
cana-804	251	12	is	be	AUX
cana-804	251	13	to	to	PART
cana-804	251	14	run	run	VERB
cana-804	251	15	,	,	PUNCT
cana-804	251	16	how	how	SCONJ
cana-804	251	17	easy	easy	ADJ
cana-804	251	18	it	it	PRON
cana-804	251	19	is	be	AUX
cana-804	251	20	to	to	PART
cana-804	251	21	understand	understand	VERB
cana-804	251	22	,	,	PUNCT
cana-804	251	23	and	and	CCONJ
cana-804	251	24	how	how	SCONJ
cana-804	251	25	well	well	ADV
cana-804	251	26	it	it	PRON
cana-804	251	27	fits	fit	VERB
cana-804	251	28	the	the	DET
cana-804	251	29	problem	problem	NOUN
cana-804	251	30	area	area	NOUN
cana-804	251	31	should	should	AUX
cana-804	251	32	be	be	AUX
cana-804	251	33	taken	take	VERB
cana-804	251	34	into	into	ADP
cana-804	251	35	account	account	NOUN
cana-804	251	36	.	.	PUNCT
cana-804	252	1	because	because	SCONJ
cana-804	252	2	of	of	ADP
cana-804	252	3	this	this	PRON
cana-804	252	4	,	,	PUNCT
cana-804	252	5	professionals	professional	NOUN
cana-804	252	6	should	should	AUX
cana-804	252	7	carefully	carefully	ADV
cana-804	252	8	consider	consider	VERB
cana-804	252	9	and	and	CCONJ
cana-804	252	10	pick	pick	VERB
cana-804	252	11	the	the	DET
cana-804	252	12	best	good	ADJ
cana-804	252	13	method	method	NOUN
cana-804	252	14	based	base	VERB
cana-804	252	15	on	on	ADP
cana-804	252	16	the	the	DET
cana-804	252	17	needs	need	NOUN
cana-804	252	18	and	and	CCONJ
cana-804	252	19	limitations	limitation	NOUN
cana-804	252	20	of	of	ADP
cana-804	252	21	the	the	DET
cana-804	252	22	current	current	ADJ
cana-804	252	23	job	job	NOUN
cana-804	252	24	.	.	PUNCT
cana-804	253	1	table	table	NOUN
cana-804	253	2	2	2	NUM
cana-804	253	3	:	:	PUNCT
cana-804	253	4	performance	performance	NOUN
cana-804	253	5	metric	metric	ADJ
cana-804	253	6	of	of	ADP
cana-804	253	7	various	various	ADJ
cana-804	253	8	ml	ml	NOUN
cana-804	253	9	algorithm	algorithm	NOUN
cana-804	253	10	for	for	ADP
cana-804	253	11	classification	classification	NOUN
cana-804	253	12	algorithm	algorithm	NOUN
cana-804	253	13	accuracy	accuracy	NOUN
cana-804	253	14	(	(	PUNCT
cana-804	253	15	%	%	INTJ
cana-804	253	16	)	)	PUNCT
cana-804	253	17	precision	precision	NOUN
cana-804	253	18	(	(	PUNCT
cana-804	253	19	%	%	INTJ
cana-804	253	20	)	)	PUNCT
cana-804	253	21	recall	recall	NOUN
cana-804	253	22	(	(	PUNCT
cana-804	253	23	%	%	NOUN
cana-804	253	24	)	)	PUNCT
cana-804	253	25	f1	f1	NOUN
cana-804	253	26	score	score	NOUN
cana-804	253	27	(	(	PUNCT
cana-804	253	28	%	%	INTJ
cana-804	253	29	)	)	PUNCT
cana-804	253	30	auc	auc	NOUN
cana-804	253	31	(	(	PUNCT
cana-804	253	32	%	%	INTJ
cana-804	253	33	)	)	PUNCT
cana-804	253	34	support	support	NOUN
cana-804	253	35	vector	vector	NOUN
cana-804	253	36	machines	machine	NOUN
cana-804	253	37	(	(	PUNCT
cana-804	253	38	svm	svm	PROPN
cana-804	253	39	)	)	PUNCT
cana-804	253	40	89.8	89.8	NUM
cana-804	253	41	90.8	90.8	NUM
cana-804	253	42	91.5	91.5	NUM
cana-804	253	43	91.6	91.6	NUM
cana-804	253	44	92.1	92.1	NUM
cana-804	253	45	decision	decision	NOUN
cana-804	253	46	trees	tree	NOUN
cana-804	253	47	89.5	89.5	NUM
cana-804	253	48	86.2	86.2	NUM
cana-804	253	49	88.1	88.1	NUM
cana-804	253	50	87.1	87.1	NUM
cana-804	253	51	92.3	92.3	NUM
cana-804	253	52	random	random	ADJ
cana-804	253	53	forests	forest	NOUN
cana-804	253	54	92.8	92.8	NUM
cana-804	253	55	93.3	93.3	NUM
cana-804	253	56	95.1	95.1	NUM
cana-804	253	57	94.2	94.2	NUM
cana-804	253	58	95.2	95.2	NUM
cana-804	253	59	logistic	logistic	ADJ
cana-804	253	60	regression	regression	NOUN
cana-804	253	61	91.7	91.7	NUM
cana-804	253	62	88.5	88.5	NUM
cana-804	253	63	90.2	90.2	NUM
cana-804	253	64	89.3	89.3	NUM
cana-804	253	65	94.7	94.7	NUM
cana-804	253	66	k	k	ADV
cana-804	253	67	-	-	PUNCT
cana-804	253	68	nearest	near	ADJ
cana-804	253	69	neighbors	neighbor	NOUN
cana-804	253	70	93.4	93.4	NUM
cana-804	253	71	90.7	90.7	NUM
cana-804	253	72	92.3	92.3	NUM
cana-804	253	73	90.5	90.5	NUM
cana-804	253	74	91	91	NUM
cana-804	253	75	communications	communication	NOUN
cana-804	253	76	on	on	ADP
cana-804	253	77	applied	apply	VERB
cana-804	253	78	nonlinear	nonlinear	ADJ
cana-804	253	79	analysis	analysis	NOUN
cana-804	253	80	issn	issn	NOUN
cana-804	253	81	:	:	PUNCT
cana-804	253	82	1074	1074	NUM
cana-804	253	83	-	-	PUNCT
cana-804	253	84	133x	133x	NUM
cana-804	253	85	vol	vol	NOUN
cana-804	253	86	31	31	NUM
cana-804	253	87	no	no	NOUN
cana-804	253	88	.	.	PUNCT
cana-804	254	1	3s	3s	NUM
cana-804	254	2	(	(	PUNCT
cana-804	254	3	2024	2024	NUM
cana-804	254	4	)	)	PUNCT
cana-804	254	5	515	515	NUM
cana-804	254	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	254	7	figure	figure	NOUN
cana-804	254	8	3	3	NUM
cana-804	254	9	:	:	PUNCT
cana-804	254	10	representation	representation	NOUN
cana-804	254	11	of	of	ADP
cana-804	254	12	performance	performance	NOUN
cana-804	254	13	metric	metric	ADJ
cana-804	254	14	of	of	ADP
cana-804	254	15	lm	lm	ADJ
cana-804	254	16	algorithm	algorithm	NOUN
cana-804	254	17	the	the	DET
cana-804	254	18	information	information	NOUN
cana-804	254	19	in	in	ADP
cana-804	254	20	table	table	NOUN
cana-804	254	21	(	(	PUNCT
cana-804	254	22	3	3	X
cana-804	254	23	)	)	PUNCT
cana-804	254	24	shows	show	VERB
cana-804	254	25	how	how	SCONJ
cana-804	254	26	well	well	ADV
cana-804	254	27	four	four	NUM
cana-804	254	28	methods	method	NOUN
cana-804	254	29	for	for	ADP
cana-804	254	30	finding	find	VERB
cana-804	254	31	anomalies	anomaly	NOUN
cana-804	254	32	work	work	VERB
cana-804	254	33	:	:	PUNCT
cana-804	255	1	isolation	isolation	NOUN
cana-804	255	2	forest	forest	NOUN
cana-804	255	3	,	,	PUNCT
cana-804	255	4	one	one	NUM
cana-804	255	5	-	-	PUNCT
cana-804	255	6	class	class	NOUN
cana-804	255	7	svm	svm	NOUN
cana-804	255	8	,	,	PUNCT
cana-804	255	9	local	local	ADJ
cana-804	255	10	outlier	outlier	NOUN
cana-804	255	11	factor	factor	NOUN
cana-804	255	12	,	,	PUNCT
cana-804	255	13	and	and	CCONJ
cana-804	255	14	mahalanobis	mahalanobis	ADJ
cana-804	255	15	distance	distance	NOUN
cana-804	255	16	.	.	PUNCT
cana-804	256	1	the	the	DET
cana-804	256	2	accuracy	accuracy	NOUN
cana-804	256	3	of	of	ADP
cana-804	256	4	these	these	DET
cana-804	256	5	algorithms	algorithm	NOUN
cana-804	256	6	is	be	AUX
cana-804	256	7	judged	judge	VERB
cana-804	256	8	by	by	ADP
cana-804	256	9	their	their	PRON
cana-804	256	10	precision	precision	NOUN
cana-804	256	11	,	,	PUNCT
cana-804	256	12	recall	recall	NOUN
cana-804	256	13	,	,	PUNCT
cana-804	256	14	f1	f1	NOUN
cana-804	256	15	score	score	NOUN
cana-804	256	16	,	,	PUNCT
cana-804	256	17	and	and	CCONJ
cana-804	256	18	area	area	NOUN
cana-804	256	19	under	under	ADP
cana-804	256	20	the	the	DET
cana-804	256	21	receiver	receiver	NOUN
cana-804	256	22	operating	operate	VERB
cana-804	256	23	characteristic	characteristic	ADJ
cana-804	256	24	curve	curve	NOUN
cana-804	256	25	(	(	PUNCT
cana-804	256	26	auc	auc	NOUN
cana-804	256	27	)	)	PUNCT
cana-804	256	28	.	.	PUNCT
cana-804	257	1	these	these	PRON
cana-804	257	2	are	be	AUX
cana-804	257	3	all	all	PRON
cana-804	257	4	important	important	ADJ
cana-804	257	5	measures	measure	NOUN
cana-804	257	6	for	for	ADP
cana-804	257	7	checking	check	VERB
cana-804	257	8	how	how	SCONJ
cana-804	257	9	well	well	ADV
cana-804	257	10	anomaly	anomaly	NOUN
cana-804	257	11	detection	detection	NOUN
cana-804	257	12	methods	method	NOUN
cana-804	257	13	work	work	VERB
cana-804	257	14	.	.	PUNCT
cana-804	258	1	with	with	ADP
cana-804	258	2	an	an	DET
cana-804	258	3	accuracy	accuracy	NOUN
cana-804	258	4	of	of	ADP
cana-804	258	5	92.3	92.3	NUM
cana-804	258	6	%	%	NOUN
cana-804	258	7	,	,	PUNCT
cana-804	258	8	a	a	DET
cana-804	258	9	recall	recall	NOUN
cana-804	258	10	of	of	ADP
cana-804	258	11	94.6	94.6	NUM
cana-804	258	12	%	%	NOUN
cana-804	258	13	,	,	PUNCT
cana-804	258	14	an	an	DET
cana-804	258	15	f1	f1	ADJ
cana-804	258	16	score	score	NOUN
cana-804	258	17	of	of	ADP
cana-804	258	18	93.8	93.8	NUM
cana-804	258	19	%	%	NOUN
cana-804	258	20	,	,	PUNCT
cana-804	258	21	and	and	CCONJ
cana-804	258	22	an	an	DET
cana-804	258	23	auc	auc	NOUN
cana-804	258	24	of	of	ADP
cana-804	258	25	94.8	94.8	NUM
cana-804	258	26	%	%	NOUN
cana-804	258	27	,	,	PUNCT
cana-804	258	28	isolation	isolation	NOUN
cana-804	258	29	forest	forest	NOUN
cana-804	258	30	has	have	VERB
cana-804	258	31	the	the	DET
cana-804	258	32	best	good	ADJ
cana-804	258	33	results	result	NOUN
cana-804	258	34	across	across	ADP
cana-804	258	35	all	all	DET
cana-804	258	36	measures	measure	NOUN
cana-804	258	37	.	.	PUNCT
cana-804	259	1	one	one	NUM
cana-804	259	2	-	-	PUNCT
cana-804	259	3	class	class	NOUN
cana-804	259	4	svm	svm	NOUN
cana-804	259	5	comes	come	VERB
cana-804	259	6	in	in	ADP
cana-804	259	7	second	second	ADJ
cana-804	259	8	with	with	ADP
cana-804	259	9	good	good	ADJ
cana-804	259	10	scores	score	NOUN
cana-804	259	11	for	for	ADP
cana-804	259	12	accuracy	accuracy	NOUN
cana-804	259	13	,	,	PUNCT
cana-804	259	14	recall	recall	NOUN
cana-804	259	15	,	,	PUNCT
cana-804	259	16	f1	f1	NOUN
cana-804	259	17	score	score	NOUN
cana-804	259	18	,	,	PUNCT
cana-804	259	19	and	and	CCONJ
cana-804	259	20	auc	auc	NOUN
cana-804	259	21	.	.	PUNCT
cana-804	260	1	when	when	SCONJ
cana-804	260	2	compared	compare	VERB
cana-804	260	3	to	to	ADP
cana-804	260	4	the	the	DET
cana-804	260	5	other	other	ADJ
cana-804	260	6	algorithms	algorithm	NOUN
cana-804	260	7	,	,	PUNCT
cana-804	260	8	the	the	DET
cana-804	260	9	local	local	ADJ
cana-804	260	10	outlier	outlier	NOUN
cana-804	260	11	factor	factor	NOUN
cana-804	260	12	and	and	CCONJ
cana-804	260	13	the	the	DET
cana-804	260	14	mahalanobis	mahalanobis	ADJ
cana-804	260	15	distance	distance	NOUN
cana-804	260	16	do	do	VERB
cana-804	260	17	a	a	DET
cana-804	260	18	little	little	ADJ
cana-804	260	19	worse	bad	ADJ
cana-804	260	20	,	,	PUNCT
cana-804	260	21	especially	especially	ADV
cana-804	260	22	when	when	SCONJ
cana-804	260	23	it	it	PRON
cana-804	260	24	comes	come	VERB
cana-804	260	25	to	to	ADP
cana-804	260	26	accuracy	accuracy	NOUN
cana-804	260	27	and	and	CCONJ
cana-804	260	28	memory	memory	NOUN
cana-804	260	29	.	.	PUNCT
cana-804	261	1	overall	overall	ADJ
cana-804	261	2	,	,	PUNCT
cana-804	261	3	though	though	ADV
cana-804	261	4	,	,	PUNCT
cana-804	261	5	all	all	PRON
cana-804	261	6	of	of	ADP
cana-804	261	7	the	the	DET
cana-804	261	8	programs	program	NOUN
cana-804	261	9	do	do	VERB
cana-804	261	10	a	a	DET
cana-804	261	11	good	good	ADJ
cana-804	261	12	job	job	NOUN
cana-804	261	13	of	of	ADP
cana-804	261	14	finding	find	VERB
cana-804	261	15	strange	strange	ADJ
cana-804	261	16	things	thing	NOUN
cana-804	261	17	in	in	ADP
cana-804	261	18	the	the	DET
cana-804	261	19	data	datum	NOUN
cana-804	261	20	.	.	PUNCT
cana-804	262	1	researchers	researcher	NOUN
cana-804	262	2	can	can	AUX
cana-804	262	3	learn	learn	VERB
cana-804	262	4	a	a	DET
cana-804	262	5	lot	lot	NOUN
cana-804	262	6	from	from	ADP
cana-804	262	7	this	this	DET
cana-804	262	8	study	study	NOUN
cana-804	262	9	about	about	ADP
cana-804	262	10	how	how	SCONJ
cana-804	262	11	well	well	ADV
cana-804	262	12	different	different	ADJ
cana-804	262	13	anomaly	anomaly	NOUN
cana-804	262	14	detection	detection	NOUN
cana-804	262	15	methods	method	NOUN
cana-804	262	16	work	work	VERB
cana-804	262	17	,	,	PUNCT
cana-804	262	18	which	which	PRON
cana-804	262	19	helps	help	VERB
cana-804	262	20	them	they	PRON
cana-804	262	21	choose	choose	VERB
cana-804	262	22	the	the	DET
cana-804	262	23	best	good	ADJ
cana-804	262	24	strategy	strategy	NOUN
cana-804	262	25	for	for	ADP
cana-804	262	26	their	their	PRON
cana-804	262	27	needs	need	NOUN
cana-804	262	28	and	and	CCONJ
cana-804	262	29	goals	goal	NOUN
cana-804	262	30	when	when	SCONJ
cana-804	262	31	doing	do	VERB
cana-804	262	32	anomaly	anomaly	NOUN
cana-804	262	33	detection	detection	NOUN
cana-804	262	34	jobs	job	NOUN
cana-804	262	35	.	.	PUNCT
cana-804	263	1	table	table	NOUN
cana-804	263	2	3	3	NUM
cana-804	263	3	:	:	PUNCT
cana-804	263	4	performance	performance	NOUN
cana-804	263	5	metric	metric	NOUN
cana-804	263	6	of	of	ADP
cana-804	263	7	ml	ml	ADP
cana-804	263	8	algorithm	algorithm	NOUN
cana-804	263	9	for	for	ADP
cana-804	263	10	anomaly	anomaly	NOUN
cana-804	263	11	detection	detection	NOUN
cana-804	263	12	algorithm	algorithm	NOUN
cana-804	263	13	precision	precision	NOUN
cana-804	263	14	(	(	PUNCT
cana-804	263	15	%	%	INTJ
cana-804	263	16	)	)	PUNCT
cana-804	263	17	recall	recall	NOUN
cana-804	263	18	(	(	PUNCT
cana-804	263	19	%	%	NOUN
cana-804	263	20	)	)	PUNCT
cana-804	263	21	f1	f1	NOUN
cana-804	263	22	score	score	NOUN
cana-804	263	23	(	(	PUNCT
cana-804	263	24	%	%	INTJ
cana-804	263	25	)	)	PUNCT
cana-804	263	26	auc	auc	NOUN
cana-804	263	27	(	(	PUNCT
cana-804	263	28	%	%	INTJ
cana-804	263	29	)	)	PUNCT
cana-804	263	30	isolation	isolation	NOUN
cana-804	263	31	forest	forest	NOUN
cana-804	263	32	92.3	92.3	NUM
cana-804	263	33	94.6	94.6	NUM
cana-804	263	34	93.8	93.8	NUM
cana-804	263	35	94.8	94.8	NUM
cana-804	263	36	one	one	NUM
cana-804	263	37	-	-	PUNCT
cana-804	263	38	class	class	NOUN
cana-804	263	39	svm	svm	NOUN
cana-804	263	40	88.1	88.1	NUM
cana-804	263	41	89.2	89.2	NUM
cana-804	263	42	89.8	89.8	NUM
cana-804	263	43	91.5	91.5	NUM
cana-804	263	44	local	local	ADJ
cana-804	263	45	outlier	outlier	NOUN
cana-804	263	46	factor	factor	NOUN
cana-804	263	47	82.7	82.7	NUM
cana-804	263	48	85.4	85.4	NUM
cana-804	263	49	87.9	87.9	NUM
cana-804	263	50	90.8	90.8	NUM
cana-804	263	51	mahalanobis	mahalanobis	NOUN
cana-804	263	52	distance	distance	NOUN
cana-804	263	53	88.2	88.2	NUM
cana-804	263	54	88.8	88.8	NUM
cana-804	263	55	87.4	87.4	NUM
cana-804	263	56	90.5	90.5	NUM
cana-804	263	57	communications	communication	NOUN
cana-804	263	58	on	on	ADP
cana-804	263	59	applied	apply	VERB
cana-804	263	60	nonlinear	nonlinear	ADJ
cana-804	263	61	analysis	analysis	NOUN
cana-804	263	62	issn	issn	NOUN
cana-804	263	63	:	:	PUNCT
cana-804	263	64	1074	1074	NUM
cana-804	263	65	-	-	PUNCT
cana-804	263	66	133x	133x	NUM
cana-804	263	67	vol	vol	NOUN
cana-804	263	68	31	31	NUM
cana-804	263	69	no	no	NOUN
cana-804	263	70	.	.	PUNCT
cana-804	264	1	3s	3s	NUM
cana-804	264	2	(	(	PUNCT
cana-804	264	3	2024	2024	NUM
cana-804	264	4	)	)	PUNCT
cana-804	264	5	516	516	NUM
cana-804	264	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	264	7	figure	figure	NOUN
cana-804	264	8	4	4	NUM
cana-804	264	9	:	:	PUNCT
cana-804	264	10	performance	performance	NOUN
cana-804	264	11	metric	metric	ADJ
cana-804	264	12	of	of	ADP
cana-804	264	13	anomaly	anomaly	NOUN
cana-804	264	14	detection	detection	NOUN
cana-804	264	15	figure	figure	NOUN
cana-804	264	16	(	(	PUNCT
cana-804	264	17	4	4	NUM
cana-804	264	18	)	)	PUNCT
cana-804	264	19	shows	show	VERB
cana-804	264	20	a	a	DET
cana-804	264	21	line	line	NOUN
cana-804	264	22	graph	graph	NOUN
cana-804	264	23	that	that	PRON
cana-804	264	24	shows	show	VERB
cana-804	264	25	how	how	SCONJ
cana-804	264	26	well	well	ADV
cana-804	264	27	four	four	NUM
cana-804	264	28	methods	method	NOUN
cana-804	264	29	for	for	ADP
cana-804	264	30	finding	find	VERB
cana-804	264	31	anomalies	anomaly	NOUN
cana-804	264	32	work	work	VERB
cana-804	264	33	:	:	PUNCT
cana-804	264	34	isolation	isolation	NOUN
cana-804	264	35	forest	forest	NOUN
cana-804	264	36	,	,	PUNCT
cana-804	264	37	one	one	NUM
cana-804	264	38	-	-	PUNCT
cana-804	264	39	class	class	NOUN
cana-804	264	40	svm	svm	NOUN
cana-804	264	41	,	,	PUNCT
cana-804	264	42	local	local	ADJ
cana-804	264	43	outlier	outlier	NOUN
cana-804	264	44	factor	factor	NOUN
cana-804	264	45	,	,	PUNCT
cana-804	264	46	and	and	CCONJ
cana-804	264	47	mahalanobis	mahalanobis	ADJ
cana-804	264	48	distance	distance	NOUN
cana-804	264	49	.	.	PUNCT
cana-804	265	1	while	while	SCONJ
cana-804	265	2	the	the	DET
cana-804	265	3	algorithms	algorithm	NOUN
cana-804	265	4	are	be	AUX
cana-804	265	5	shown	show	VERB
cana-804	265	6	on	on	ADP
cana-804	265	7	the	the	DET
cana-804	265	8	x	x	NOUN
cana-804	265	9	-	-	NOUN
cana-804	265	10	axis	axis	ADJ
cana-804	265	11	,	,	PUNCT
cana-804	265	12	their	their	PRON
cana-804	265	13	accuracy	accuracy	NOUN
cana-804	265	14	,	,	PUNCT
cana-804	265	15	recall	recall	NOUN
cana-804	265	16	,	,	PUNCT
cana-804	265	17	f1	f1	NOUN
cana-804	265	18	score	score	NOUN
cana-804	265	19	,	,	PUNCT
cana-804	265	20	and	and	CCONJ
cana-804	265	21	area	area	NOUN
cana-804	265	22	under	under	ADP
cana-804	265	23	the	the	DET
cana-804	265	24	curve	curve	NOUN
cana-804	265	25	(	(	PUNCT
cana-804	265	26	auc	auc	NOUN
cana-804	265	27	)	)	PUNCT
cana-804	265	28	are	be	AUX
cana-804	265	29	drawn	draw	VERB
cana-804	265	30	along	along	ADP
cana-804	265	31	the	the	DET
cana-804	265	32	y	y	NOUN
cana-804	265	33	-	-	PUNCT
cana-804	265	34	axis	axis	NOUN
cana-804	265	35	.	.	PUNCT
cana-804	266	1	the	the	DET
cana-804	266	2	isolation	isolation	NOUN
cana-804	266	3	forest	forest	NOUN
cana-804	266	4	always	always	ADV
cana-804	266	5	gets	get	VERB
cana-804	266	6	the	the	DET
cana-804	266	7	best	good	ADJ
cana-804	266	8	results	result	NOUN
cana-804	266	9	across	across	ADP
cana-804	266	10	all	all	DET
cana-804	266	11	measures	measure	NOUN
cana-804	266	12	.	.	PUNCT
cana-804	267	1	it	it	PRON
cana-804	267	2	is	be	AUX
cana-804	267	3	followed	follow	VERB
cana-804	267	4	by	by	ADP
cana-804	267	5	the	the	DET
cana-804	267	6	one	one	NUM
cana-804	267	7	-	-	PUNCT
cana-804	267	8	class	class	NOUN
cana-804	267	9	svm	svm	NOUN
cana-804	267	10	,	,	PUNCT
cana-804	267	11	the	the	DET
cana-804	267	12	mahalanobis	mahalanobis	ADJ
cana-804	267	13	distance	distance	NOUN
cana-804	267	14	,	,	PUNCT
cana-804	267	15	and	and	CCONJ
cana-804	267	16	the	the	DET
cana-804	267	17	local	local	ADJ
cana-804	267	18	outlier	outlier	NOUN
cana-804	267	19	factor	factor	NOUN
cana-804	267	20	.	.	PUNCT
cana-804	268	1	precision	precision	NOUN
cana-804	268	2	,	,	PUNCT
cana-804	268	3	recall	recall	NOUN
cana-804	268	4	,	,	PUNCT
cana-804	268	5	f1	f1	NOUN
cana-804	268	6	score	score	NOUN
cana-804	268	7	,	,	PUNCT
cana-804	268	8	and	and	CCONJ
cana-804	268	9	auc	auc	NOUN
cana-804	268	10	are	be	AUX
cana-804	268	11	important	important	ADJ
cana-804	268	12	measures	measure	NOUN
cana-804	268	13	for	for	ADP
cana-804	268	14	judging	judge	VERB
cana-804	268	15	how	how	SCONJ
cana-804	268	16	well	well	ADV
cana-804	268	17	anomaly	anomaly	NOUN
cana-804	268	18	detection	detection	NOUN
cana-804	268	19	methods	method	NOUN
cana-804	268	20	work	work	VERB
cana-804	268	21	,	,	PUNCT
cana-804	268	22	and	and	CCONJ
cana-804	268	23	this	this	DET
cana-804	268	24	image	image	NOUN
cana-804	268	25	makes	make	VERB
cana-804	268	26	it	it	PRON
cana-804	268	27	easy	easy	ADJ
cana-804	268	28	to	to	PART
cana-804	268	29	see	see	VERB
cana-804	268	30	how	how	SCONJ
cana-804	268	31	the	the	DET
cana-804	268	32	algorithms	algorithms	NOUN
cana-804	268	33	compare	compare	VERB
cana-804	268	34	.	.	PUNCT
cana-804	269	1	it	it	PRON
cana-804	269	2	helps	help	VERB
cana-804	269	3	find	find	VERB
cana-804	269	4	the	the	DET
cana-804	269	5	best	good	ADJ
cana-804	269	6	method	method	NOUN
cana-804	269	7	for	for	ADP
cana-804	269	8	jobs	job	NOUN
cana-804	269	9	involving	involve	VERB
cana-804	269	10	anomaly	anomaly	NOUN
cana-804	269	11	detection	detection	NOUN
cana-804	269	12	based	base	VERB
cana-804	269	13	on	on	ADP
cana-804	269	14	specific	specific	ADJ
cana-804	269	15	performance	performance	NOUN
cana-804	269	16	needs	need	NOUN
cana-804	269	17	and	and	CCONJ
cana-804	269	18	goals	goal	NOUN
cana-804	269	19	.	.	PUNCT
cana-804	270	1	this	this	PRON
cana-804	270	2	gives	give	VERB
cana-804	270	3	experts	expert	NOUN
cana-804	270	4	in	in	ADP
cana-804	270	5	the	the	DET
cana-804	270	6	fields	field	NOUN
cana-804	270	7	of	of	ADP
cana-804	270	8	anomaly	anomaly	NOUN
cana-804	270	9	detection	detection	NOUN
cana-804	270	10	and	and	CCONJ
cana-804	270	11	defense	defense	NOUN
cana-804	270	12	useful	useful	ADJ
cana-804	270	13	information	information	NOUN
cana-804	270	14	.	.	PUNCT
cana-804	271	1	table	table	NOUN
cana-804	271	2	5	5	NUM
cana-804	271	3	:	:	PUNCT
cana-804	271	4	performance	performance	NOUN
cana-804	271	5	evaluation	evaluation	NOUN
cana-804	271	6	of	of	ADP
cana-804	271	7	ml	ml	ADP
cana-804	271	8	algorithm	algorithm	NOUN
cana-804	271	9	for	for	ADP
cana-804	271	10	predictive	predictive	ADJ
cana-804	271	11	modeling	modeling	NOUN
cana-804	271	12	algorithm	algorithm	NOUN
cana-804	271	13	accuracy	accuracy	NOUN
cana-804	271	14	(	(	PUNCT
cana-804	271	15	%	%	INTJ
cana-804	271	16	)	)	PUNCT
cana-804	271	17	precision	precision	NOUN
cana-804	271	18	(	(	PUNCT
cana-804	271	19	%	%	INTJ
cana-804	271	20	)	)	PUNCT
cana-804	271	21	recall	recall	NOUN
cana-804	271	22	(	(	PUNCT
cana-804	271	23	%	%	NOUN
cana-804	271	24	)	)	PUNCT
cana-804	271	25	f1	f1	NOUN
cana-804	271	26	score	score	NOUN
cana-804	271	27	(	(	PUNCT
cana-804	271	28	%	%	INTJ
cana-804	271	29	)	)	PUNCT
cana-804	271	30	auc	auc	NOUN
cana-804	271	31	(	(	PUNCT
cana-804	271	32	%	%	INTJ
cana-804	271	33	)	)	PUNCT
cana-804	271	34	random	random	ADJ
cana-804	271	35	forests	forest	NOUN
cana-804	271	36	84.6	84.6	NUM
cana-804	271	37	85.2	85.2	NUM
cana-804	271	38	86.5	86.5	NUM
cana-804	271	39	85.3	85.3	NUM
cana-804	271	40	89.7	89.7	NUM
cana-804	271	41	gradient	gradient	NOUN
cana-804	271	42	boosting	boost	VERB
cana-804	271	43	81.3	81.3	NUM
cana-804	271	44	78.9	78.9	NUM
cana-804	271	45	82.1	82.1	NUM
cana-804	271	46	80.4	80.4	NUM
cana-804	271	47	87.2	87.2	NUM
cana-804	271	48	logistic	logistic	ADJ
cana-804	271	49	regression	regression	NOUN
cana-804	271	50	77.9	77.9	NUM
cana-804	271	51	75.6	75.6	NUM
cana-804	271	52	79.2	79.2	NUM
cana-804	271	53	77.3	77.3	NUM
cana-804	271	54	84.6	84.6	NUM
cana-804	271	55	neural	neural	ADJ
cana-804	271	56	network	network	NOUN
cana-804	271	57	84.5	84.5	NUM
cana-804	271	58	88.5	88.5	NUM
cana-804	271	59	89.6	89.6	NUM
cana-804	271	60	90.7	90.7	NUM
cana-804	271	61	93.1	93.1	NUM
cana-804	271	62	decision	decision	NOUN
cana-804	271	63	trees	tree	NOUN
cana-804	271	64	79.8	79.8	NUM
cana-804	271	65	77.2	77.2	NUM
cana-804	271	66	80.9	80.9	NUM
cana-804	271	67	79.0	79.0	NUM
cana-804	271	68	85.9	85.9	NUM
cana-804	271	69	communications	communication	NOUN
cana-804	271	70	on	on	ADP
cana-804	271	71	applied	apply	VERB
cana-804	271	72	nonlinear	nonlinear	ADJ
cana-804	271	73	analysis	analysis	NOUN
cana-804	271	74	issn	issn	NOUN
cana-804	271	75	:	:	PUNCT
cana-804	271	76	1074	1074	NUM
cana-804	271	77	-	-	PUNCT
cana-804	271	78	133x	133x	NUM
cana-804	271	79	vol	vol	NOUN
cana-804	271	80	31	31	NUM
cana-804	271	81	no	no	NOUN
cana-804	271	82	.	.	PUNCT
cana-804	272	1	3s	3s	NUM
cana-804	272	2	(	(	PUNCT
cana-804	272	3	2024	2024	NUM
cana-804	272	4	)	)	PUNCT
cana-804	272	5	517	517	NUM
cana-804	272	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	272	7	figure	figure	NOUN
cana-804	272	8	5	5	NUM
cana-804	272	9	:	:	PUNCT
cana-804	272	10	performance	performance	NOUN
cana-804	272	11	evaluation	evaluation	NOUN
cana-804	272	12	of	of	ADP
cana-804	272	13	ml	ml	ADP
cana-804	272	14	algorithm	algorithm	NOUN
cana-804	272	15	for	for	ADP
cana-804	272	16	predictive	predictive	ADJ
cana-804	272	17	modeling	modeling	NOUN
cana-804	272	18	the	the	DET
cana-804	272	19	success	success	NOUN
cana-804	272	20	measures	measure	NOUN
cana-804	272	21	of	of	ADP
cana-804	272	22	five	five	NUM
cana-804	272	23	machine	machine	NOUN
cana-804	272	24	learning	learn	VERB
cana-804	272	25	algorithms	algorithm	NOUN
cana-804	272	26	are	be	AUX
cana-804	272	27	shown	show	VERB
cana-804	272	28	clearly	clearly	ADV
cana-804	272	29	in	in	ADP
cana-804	272	30	figure	figure	NOUN
cana-804	272	31	(	(	PUNCT
cana-804	272	32	5	5	NUM
cana-804	272	33	)	)	PUNCT
cana-804	272	34	.	.	PUNCT
cana-804	273	1	these	these	PRON
cana-804	273	2	are	be	AUX
cana-804	273	3	random	random	ADJ
cana-804	273	4	forests	forest	NOUN
cana-804	273	5	,	,	PUNCT
cana-804	273	6	gradient	gradient	NOUN
cana-804	273	7	boosting	boosting	NOUN
cana-804	273	8	,	,	PUNCT
cana-804	273	9	logistic	logistic	ADJ
cana-804	273	10	regression	regression	NOUN
cana-804	273	11	,	,	PUNCT
cana-804	273	12	neural	neural	ADJ
cana-804	273	13	networks	network	NOUN
cana-804	273	14	,	,	PUNCT
cana-804	273	15	and	and	CCONJ
cana-804	273	16	decision	decision	NOUN
cana-804	273	17	trees	tree	NOUN
cana-804	273	18	.	.	PUNCT
cana-804	274	1	different	different	ADJ
cana-804	274	2	colored	colored	ADJ
cana-804	274	3	bars	bar	NOUN
cana-804	274	4	show	show	VERB
cana-804	274	5	the	the	DET
cana-804	274	6	accuracy	accuracy	NOUN
cana-804	274	7	,	,	PUNCT
cana-804	274	8	precision	precision	NOUN
cana-804	274	9	,	,	PUNCT
cana-804	274	10	recall	recall	NOUN
cana-804	274	11	,	,	PUNCT
cana-804	274	12	f1	f1	NOUN
cana-804	274	13	score	score	NOUN
cana-804	274	14	,	,	PUNCT
cana-804	274	15	and	and	CCONJ
cana-804	274	16	area	area	NOUN
cana-804	274	17	under	under	ADP
cana-804	274	18	the	the	DET
cana-804	274	19	curve	curve	NOUN
cana-804	274	20	(	(	PUNCT
cana-804	274	21	auc	auc	NOUN
cana-804	274	22	)	)	PUNCT
cana-804	274	23	for	for	ADP
cana-804	274	24	each	each	DET
cana-804	274	25	method	method	NOUN
cana-804	274	26	.	.	PUNCT
cana-804	275	1	all	all	PRON
cana-804	275	2	of	of	ADP
cana-804	275	3	the	the	DET
cana-804	275	4	measures	measure	NOUN
cana-804	275	5	show	show	VERB
cana-804	275	6	that	that	SCONJ
cana-804	275	7	neural	neural	ADJ
cana-804	275	8	network	network	NOUN
cana-804	275	9	has	have	VERB
cana-804	275	10	the	the	DET
cana-804	275	11	best	good	ADJ
cana-804	275	12	scores	score	NOUN
cana-804	275	13	,	,	PUNCT
cana-804	275	14	especially	especially	ADV
cana-804	275	15	in	in	ADP
cana-804	275	16	accuracy	accuracy	NOUN
cana-804	275	17	,	,	PUNCT
cana-804	275	18	recall	recall	NOUN
cana-804	275	19	,	,	PUNCT
cana-804	275	20	f1	f1	NOUN
cana-804	275	21	score	score	NOUN
cana-804	275	22	,	,	PUNCT
cana-804	275	23	and	and	CCONJ
cana-804	275	24	auc	auc	NOUN
cana-804	275	25	.	.	PUNCT
cana-804	276	1	neural	neural	ADJ
cana-804	276	2	network	network	NOUN
cana-804	276	3	is	be	AUX
cana-804	276	4	closely	closely	ADV
cana-804	276	5	followed	follow	VERB
cana-804	276	6	by	by	ADP
cana-804	276	7	random	random	ADJ
cana-804	276	8	forests	forest	NOUN
cana-804	276	9	in	in	ADP
cana-804	276	10	terms	term	NOUN
cana-804	276	11	of	of	ADP
cana-804	276	12	success	success	NOUN
cana-804	276	13	.	.	PUNCT
cana-804	277	1	when	when	SCONJ
cana-804	277	2	compared	compare	VERB
cana-804	277	3	to	to	ADP
cana-804	277	4	the	the	DET
cana-804	277	5	best	good	ADJ
cana-804	277	6	algorithms	algorithm	NOUN
cana-804	277	7	,	,	PUNCT
cana-804	277	8	gradient	gradient	ADJ
cana-804	277	9	boosting	boosting	NOUN
cana-804	277	10	,	,	PUNCT
cana-804	277	11	logistic	logistic	ADJ
cana-804	277	12	regression	regression	NOUN
cana-804	277	13	,	,	PUNCT
cana-804	277	14	and	and	CCONJ
cana-804	277	15	decision	decision	NOUN
cana-804	277	16	trees	tree	NOUN
cana-804	277	17	all	all	PRON
cana-804	277	18	do	do	VERB
cana-804	277	19	a	a	DET
cana-804	277	20	little	little	ADJ
cana-804	277	21	worse	bad	ADJ
cana-804	277	22	.	.	PUNCT
cana-804	278	1	the	the	DET
cana-804	278	2	graph	graph	NOUN
cana-804	278	3	makes	make	VERB
cana-804	278	4	it	it	PRON
cana-804	278	5	easy	easy	ADJ
cana-804	278	6	to	to	PART
cana-804	278	7	see	see	VERB
cana-804	278	8	how	how	SCONJ
cana-804	278	9	well	well	ADV
cana-804	278	10	each	each	DET
cana-804	278	11	algorithm	algorithm	NOUN
cana-804	278	12	works	work	VERB
cana-804	278	13	compared	compare	VERB
cana-804	278	14	to	to	ADP
cana-804	278	15	the	the	DET
cana-804	278	16	others	other	NOUN
cana-804	278	17	,	,	PUNCT
cana-804	278	18	which	which	PRON
cana-804	278	19	helps	help	VERB
cana-804	278	20	choose	choose	VERB
cana-804	278	21	the	the	DET
cana-804	278	22	best	good	ADJ
cana-804	278	23	method	method	NOUN
cana-804	278	24	for	for	ADP
cana-804	278	25	sorting	sort	VERB
cana-804	278	26	jobs	job	NOUN
cana-804	278	27	based	base	VERB
cana-804	278	28	on	on	ADP
cana-804	278	29	specific	specific	ADJ
cana-804	278	30	performance	performance	NOUN
cana-804	278	31	needs	need	NOUN
cana-804	278	32	and	and	CCONJ
cana-804	278	33	goals	goal	NOUN
cana-804	278	34	.	.	PUNCT
cana-804	279	1	it	it	PRON
cana-804	279	2	's	be	AUX
cana-804	279	3	easier	easy	ADJ
cana-804	279	4	to	to	PART
cana-804	279	5	make	make	VERB
cana-804	279	6	decisions	decision	NOUN
cana-804	279	7	when	when	SCONJ
cana-804	279	8	choosing	choose	VERB
cana-804	279	9	a	a	DET
cana-804	279	10	machine	machine	NOUN
cana-804	279	11	learning	learn	VERB
cana-804	279	12	model	model	NOUN
cana-804	279	13	with	with	ADP
cana-804	279	14	this	this	DET
cana-804	279	15	image	image	NOUN
cana-804	279	16	,	,	PUNCT
cana-804	279	17	which	which	PRON
cana-804	279	18	can	can	AUX
cana-804	279	19	help	help	VERB
cana-804	279	20	professionals	professional	NOUN
cana-804	279	21	in	in	ADP
cana-804	279	22	many	many	ADJ
cana-804	279	23	fields	field	NOUN
cana-804	279	24	.	.	PUNCT
cana-804	280	1	6.conclusion	6.conclusion	NUM
cana-804	280	2	there	there	PRON
cana-804	280	3	is	be	VERB
cana-804	280	4	a	a	DET
cana-804	280	5	strong	strong	ADJ
cana-804	280	6	case	case	NOUN
cana-804	280	7	for	for	ADP
cana-804	280	8	improving	improve	VERB
cana-804	280	9	threat	threat	NOUN
cana-804	280	10	intelligence	intelligence	NOUN
cana-804	280	11	research	research	NOUN
cana-804	280	12	in	in	ADP
cana-804	280	13	cybersecurity	cybersecurity	NOUN
cana-804	280	14	when	when	SCONJ
cana-804	280	15	graph	graph	NOUN
cana-804	280	16	theory	theory	NOUN
cana-804	280	17	and	and	CCONJ
cana-804	280	18	machine	machine	NOUN
cana-804	280	19	learning	learning	NOUN
cana-804	280	20	are	be	AUX
cana-804	280	21	combined	combine	VERB
cana-804	280	22	.	.	PUNCT
cana-804	281	1	by	by	ADP
cana-804	281	2	using	use	VERB
cana-804	281	3	these	these	DET
cana-804	281	4	mathematical	mathematical	ADJ
cana-804	281	5	models	model	NOUN
cana-804	281	6	to	to	PART
cana-804	281	7	improve	improve	VERB
cana-804	281	8	cyber	cyber	ADJ
cana-804	281	9	threat	threat	NOUN
cana-804	281	10	assessment	assessment	NOUN
cana-804	281	11	,	,	PUNCT
cana-804	281	12	we	we	PRON
cana-804	281	13	have	have	AUX
cana-804	281	14	shown	show	VERB
cana-804	281	15	that	that	SCONJ
cana-804	281	16	they	they	PRON
cana-804	281	17	work	work	VERB
cana-804	281	18	well	well	ADV
cana-804	281	19	together	together	ADV
cana-804	281	20	to	to	PART
cana-804	281	21	give	give	VERB
cana-804	281	22	companies	company	NOUN
cana-804	281	23	better	well	ADJ
cana-804	281	24	,	,	PUNCT
cana-804	281	25	more	more	ADV
cana-804	281	26	aggressive	aggressive	ADJ
cana-804	281	27	ways	way	NOUN
cana-804	281	28	to	to	PART
cana-804	281	29	protect	protect	VERB
cana-804	281	30	themselves	themselves	PRON
cana-804	281	31	against	against	ADP
cana-804	281	32	new	new	ADJ
cana-804	281	33	threats	threat	NOUN
cana-804	281	34	.	.	PUNCT
cana-804	282	1	in	in	ADP
cana-804	282	2	networked	networked	ADJ
cana-804	282	3	settings	setting	NOUN
cana-804	282	4	,	,	PUNCT
cana-804	282	5	graph	graph	NOUN
cana-804	282	6	theory	theory	NOUN
cana-804	282	7	is	be	AUX
cana-804	282	8	a	a	DET
cana-804	282	9	strong	strong	ADJ
cana-804	282	10	way	way	NOUN
cana-804	282	11	to	to	PART
cana-804	282	12	show	show	VERB
cana-804	282	13	complex	complex	ADJ
cana-804	282	14	relationships	relationship	NOUN
cana-804	282	15	because	because	SCONJ
cana-804	282	16	it	it	PRON
cana-804	282	17	models	model	VERB
cana-804	282	18	online	online	ADJ
cana-804	282	19	entities	entity	NOUN
cana-804	282	20	and	and	CCONJ
cana-804	282	21	how	how	SCONJ
cana-804	282	22	they	they	PRON
cana-804	282	23	interact	interact	VERB
cana-804	282	24	as	as	ADP
cana-804	282	25	nodes	node	NOUN
cana-804	282	26	and	and	CCONJ
cana-804	282	27	lines	line	NOUN
cana-804	282	28	in	in	ADP
cana-804	282	29	a	a	DET
cana-804	282	30	graph	graph	NOUN
cana-804	282	31	structure	structure	NOUN
cana-804	282	32	.	.	PUNCT
cana-804	283	1	this	this	DET
cana-804	283	2	concept	concept	NOUN
cana-804	283	3	helps	help	VERB
cana-804	283	4	cybersecurity	cybersecurity	NOUN
cana-804	283	5	experts	expert	NOUN
cana-804	283	6	understand	understand	VERB
cana-804	283	7	the	the	DET
cana-804	283	8	structure	structure	NOUN
cana-804	283	9	and	and	CCONJ
cana-804	283	10	movement	movement	NOUN
cana-804	283	11	of	of	ADP
cana-804	283	12	the	the	DET
cana-804	283	13	online	online	ADJ
cana-804	283	14	world	world	NOUN
cana-804	283	15	,	,	PUNCT
cana-804	283	16	which	which	PRON
cana-804	283	17	makes	make	VERB
cana-804	283	18	it	it	PRON
cana-804	283	19	easier	easy	ADJ
cana-804	283	20	to	to	PART
cana-804	283	21	spot	spot	VERB
cana-804	283	22	trends	trend	NOUN
cana-804	283	23	and	and	CCONJ
cana-804	283	24	oddities	oddity	NOUN
cana-804	283	25	that	that	PRON
cana-804	283	26	point	point	VERB
cana-804	283	27	to	to	ADP
cana-804	283	28	bad	bad	ADJ
cana-804	283	29	behavior	behavior	NOUN
cana-804	283	30	.	.	PUNCT
cana-804	284	1	graph	graph	NOUN
cana-804	284	2	-	-	PUNCT
cana-804	284	3	based	base	VERB
cana-804	284	4	models	model	NOUN
cana-804	284	5	also	also	ADV
cana-804	284	6	make	make	VERB
cana-804	284	7	it	it	PRON
cana-804	284	8	easier	easy	ADJ
cana-804	284	9	to	to	PART
cana-804	284	10	combine	combine	VERB
cana-804	284	11	different	different	ADJ
cana-804	284	12	types	type	NOUN
cana-804	284	13	of	of	ADP
cana-804	284	14	data	datum	NOUN
cana-804	284	15	,	,	PUNCT
cana-804	284	16	which	which	PRON
cana-804	284	17	helps	help	VERB
cana-804	284	18	us	we	PRON
cana-804	284	19	understand	understand	VERB
cana-804	284	20	computer	computer	NOUN
cana-804	284	21	risks	risk	VERB
cana-804	284	22	better	well	ADV
cana-804	284	23	.	.	PUNCT
cana-804	285	1	machine	machine	NOUN
cana-804	285	2	learning	learn	VERB
cana-804	285	3	techniques	technique	NOUN
cana-804	285	4	,	,	PUNCT
cana-804	285	5	especially	especially	ADV
cana-804	285	6	controlled	control	VERB
cana-804	285	7	and	and	CCONJ
cana-804	285	8	unstructured	unstructured	ADJ
cana-804	285	9	learning	learning	NOUN
cana-804	285	10	methods	method	NOUN
cana-804	285	11	,	,	PUNCT
cana-804	285	12	add	add	VERB
cana-804	285	13	to	to	ADP
cana-804	285	14	graph	graph	NOUN
cana-804	285	15	theory	theory	NOUN
cana-804	285	16	by	by	ADP
cana-804	285	17	making	make	VERB
cana-804	285	18	it	it	PRON
cana-804	285	19	easier	easy	ADJ
cana-804	285	20	to	to	PART
cana-804	285	21	find	find	VERB
cana-804	285	22	patterns	pattern	NOUN
cana-804	285	23	and	and	CCONJ
cana-804	285	24	strange	strange	ADJ
cana-804	285	25	things	thing	NOUN
cana-804	285	26	.	.	PUNCT
cana-804	286	1	using	use	VERB
cana-804	286	2	supervised	supervised	ADJ
cana-804	286	3	learning	learning	NOUN
cana-804	286	4	methods	method	NOUN
cana-804	286	5	,	,	PUNCT
cana-804	286	6	threats	threat	NOUN
cana-804	286	7	can	can	AUX
cana-804	286	8	be	be	AUX
cana-804	286	9	put	put	VERB
cana-804	286	10	into	into	ADP
cana-804	286	11	groups	group	NOUN
cana-804	286	12	based	base	VERB
cana-804	286	13	on	on	ADP
cana-804	286	14	past	past	ADJ
cana-804	286	15	data	datum	NOUN
cana-804	286	16	and	and	CCONJ
cana-804	286	17	known	known	ADJ
cana-804	286	18	trends	trend	NOUN
cana-804	286	19	of	of	ADP
cana-804	286	20	bad	bad	ADJ
cana-804	286	21	behavior	behavior	NOUN
cana-804	286	22	.	.	PUNCT
cana-804	287	1	this	this	PRON
cana-804	287	2	lets	let	VERB
cana-804	287	3	organizations	organization	NOUN
cana-804	287	4	stop	stop	VERB
cana-804	287	5	new	new	ADJ
cana-804	287	6	threats	threat	NOUN
cana-804	287	7	before	before	SCONJ
cana-804	287	8	they	they	PRON
cana-804	287	9	happen	happen	VERB
cana-804	287	10	.	.	PUNCT
cana-804	288	1	on	on	ADP
cana-804	288	2	the	the	DET
cana-804	288	3	communications	communication	NOUN
cana-804	288	4	on	on	ADP
cana-804	288	5	applied	apply	VERB
cana-804	288	6	nonlinear	nonlinear	ADJ
cana-804	288	7	analysis	analysis	NOUN
cana-804	288	8	issn	issn	NOUN
cana-804	288	9	:	:	PUNCT
cana-804	288	10	1074	1074	NUM
cana-804	288	11	-	-	PUNCT
cana-804	288	12	133x	133x	NUM
cana-804	288	13	vol	vol	NOUN
cana-804	288	14	31	31	NUM
cana-804	288	15	no	no	NOUN
cana-804	288	16	.	.	PUNCT
cana-804	289	1	3s	3s	NUM
cana-804	289	2	(	(	PUNCT
cana-804	289	3	2024	2024	NUM
cana-804	289	4	)	)	PUNCT
cana-804	289	5	518	518	NUM
cana-804	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-804	289	7	other	other	ADJ
cana-804	289	8	hand	hand	NOUN
cana-804	289	9	,	,	PUNCT
cana-804	289	10	unsupervised	unsupervised	ADJ
cana-804	289	11	learning	learning	NOUN
cana-804	289	12	methods	method	NOUN
cana-804	289	13	make	make	VERB
cana-804	289	14	it	it	PRON
cana-804	289	15	easier	easy	ADJ
cana-804	289	16	to	to	PART
cana-804	289	17	find	find	VERB
cana-804	289	18	strange	strange	ADJ
cana-804	289	19	or	or	CCONJ
cana-804	289	20	unusual	unusual	ADJ
cana-804	289	21	network	network	NOUN
cana-804	289	22	behavior	behavior	NOUN
cana-804	289	23	,	,	PUNCT
cana-804	289	24	which	which	PRON
cana-804	289	25	can	can	AUX
cana-804	289	26	point	point	VERB
cana-804	289	27	out	out	ADP
cana-804	289	28	signs	sign	NOUN
cana-804	289	29	of	of	ADP
cana-804	289	30	compromise	compromise	NOUN
cana-804	289	31	and	and	CCONJ
cana-804	289	32	new	new	ADJ
cana-804	289	33	threats	threat	NOUN
cana-804	289	34	.	.	PUNCT
cana-804	290	1	for	for	ADP
cana-804	290	2	cyber	cyber	PROPN
cana-804	290	3	threat	threat	NOUN
cana-804	290	4	intelligence	intelligence	NOUN
cana-804	290	5	research	research	NOUN
cana-804	290	6	,	,	PUNCT
cana-804	290	7	the	the	DET
cana-804	290	8	suggested	suggest	VERB
cana-804	290	9	structure	structure	NOUN
cana-804	290	10	has	have	VERB
cana-804	290	11	a	a	DET
cana-804	290	12	number	number	NOUN
cana-804	290	13	of	of	ADP
cana-804	290	14	important	important	ADJ
cana-804	290	15	benefits	benefit	NOUN
cana-804	290	16	.	.	PUNCT
cana-804	291	1	for	for	ADP
cana-804	291	2	starters	starter	NOUN
cana-804	291	3	,	,	PUNCT
cana-804	291	4	it	it	PRON
cana-804	291	5	gives	give	VERB
cana-804	291	6	a	a	DET
cana-804	291	7	full	full	ADJ
cana-804	291	8	picture	picture	NOUN
cana-804	291	9	of	of	ADP
cana-804	291	10	the	the	DET
cana-804	291	11	danger	danger	NOUN
cana-804	291	12	scenario	scenario	NOUN
cana-804	291	13	by	by	ADP
cana-804	291	14	combining	combine	VERB
cana-804	291	15	different	different	ADJ
cana-804	291	16	types	type	NOUN
cana-804	291	17	of	of	ADP
cana-804	291	18	data	datum	NOUN
cana-804	291	19	and	and	CCONJ
cana-804	291	20	simulating	simulate	VERB
cana-804	291	21	the	the	DET
cana-804	291	22	complicated	complicated	ADJ
cana-804	291	23	connections	connection	NOUN
cana-804	291	24	between	between	ADP
cana-804	291	25	cyber	cyber	NOUN
cana-804	291	26	organizations	organization	NOUN
cana-804	291	27	.	.	PUNCT
cana-804	292	1	second	second	ADJ
cana-804	292	2	,	,	PUNCT
cana-804	292	3	its	its	PRON
cana-804	292	4	automatic	automatic	ADJ
cana-804	292	5	pattern	pattern	NOUN
cana-804	292	6	recognition	recognition	NOUN
cana-804	292	7	and	and	CCONJ
cana-804	292	8	anomaly	anomaly	NOUN
cana-804	292	9	detection	detection	NOUN
cana-804	292	10	features	feature	NOUN
cana-804	292	11	make	make	VERB
cana-804	292	12	it	it	PRON
cana-804	292	13	possible	possible	ADJ
cana-804	292	14	to	to	PART
cana-804	292	15	find	find	VERB
cana-804	292	16	and	and	CCONJ
cana-804	292	17	stop	stop	VERB
cana-804	292	18	threats	threat	NOUN
cana-804	292	19	before	before	SCONJ
cana-804	292	20	they	they	PRON
cana-804	292	21	happen	happen	VERB
cana-804	292	22	.	.	PUNCT
cana-804	293	1	real	real	ADJ
cana-804	293	2	-	-	PUNCT
cana-804	293	3	world	world	NOUN
cana-804	293	4	tests	test	NOUN
cana-804	293	5	and	and	CCONJ
cana-804	293	6	operations	operation	NOUN
cana-804	293	7	have	have	AUX
cana-804	293	8	shown	show	VERB
cana-804	293	9	that	that	SCONJ
cana-804	293	10	the	the	DET
cana-804	293	11	proposed	propose	VERB
cana-804	293	12	approach	approach	NOUN
cana-804	293	13	works	work	VERB
cana-804	293	14	to	to	PART
cana-804	293	15	improve	improve	VERB
cana-804	293	16	cyber	cyber	ADJ
cana-804	293	17	threat	threat	NOUN
cana-804	293	18	assessment	assessment	NOUN
cana-804	293	19	and	and	CCONJ
cana-804	293	20	make	make	VERB
cana-804	293	21	companies	company	NOUN
cana-804	293	22	more	more	ADV
cana-804	293	23	resilient	resilient	ADJ
cana-804	293	24	online	online	ADV
cana-804	293	25	.	.	PUNCT
cana-804	294	1	by	by	ADP
cana-804	294	2	using	use	VERB
cana-804	294	3	the	the	DET
cana-804	294	4	benefits	benefit	NOUN
cana-804	294	5	of	of	ADP
cana-804	294	6	how	how	SCONJ
cana-804	294	7	graph	graph	NOUN
cana-804	294	8	theory	theory	NOUN
cana-804	294	9	and	and	CCONJ
cana-804	294	10	machine	machine	NOUN
cana-804	294	11	learning	learning	NOUN
cana-804	294	12	work	work	NOUN
cana-804	294	13	together	together	ADV
cana-804	294	14	,	,	PUNCT
cana-804	294	15	businesses	business	NOUN
cana-804	294	16	can	can	AUX
cana-804	294	17	learn	learn	VERB
cana-804	294	18	more	more	ADJ
cana-804	294	19	about	about	ADP
cana-804	294	20	online	online	ADJ
cana-804	294	21	threats	threat	NOUN
cana-804	294	22	and	and	CCONJ
cana-804	294	23	make	make	VERB
cana-804	294	24	their	their	PRON
cana-804	294	25	defenses	defense	NOUN
cana-804	294	26	stronger	strong	ADJ
cana-804	294	27	against	against	ADP
cana-804	294	28	smart	smart	ADJ
cana-804	294	29	attackers	attacker	NOUN
cana-804	294	30	.	.	PUNCT
cana-804	295	1	putting	put	VERB
cana-804	295	2	graph	graph	NOUN
cana-804	295	3	theory	theory	NOUN
cana-804	295	4	and	and	CCONJ
cana-804	295	5	machine	machine	NOUN
cana-804	295	6	learning	learn	VERB
cana-804	295	7	together	together	ADV
cana-804	295	8	is	be	AUX
cana-804	295	9	a	a	DET
cana-804	295	10	good	good	ADJ
cana-804	295	11	way	way	NOUN
cana-804	295	12	to	to	PART
cana-804	295	13	improve	improve	VERB
cana-804	295	14	threat	threat	NOUN
cana-804	295	15	intelligence	intelligence	NOUN
cana-804	295	16	research	research	NOUN
cana-804	295	17	in	in	ADP
cana-804	295	18	defense	defense	NOUN
cana-804	295	19	.	.	PUNCT
cana-804	296	1	as	as	SCONJ
cana-804	296	2	cyber	cyber	PROPN
cana-804	296	3	threats	threat	NOUN
cana-804	296	4	become	become	VERB
cana-804	296	5	more	more	ADV
cana-804	296	6	complex	complex	ADJ
cana-804	296	7	and	and	CCONJ
cana-804	296	8	advanced	advanced	ADJ
cana-804	296	9	,	,	PUNCT
cana-804	296	10	the	the	DET
cana-804	296	11	suggested	suggest	VERB
cana-804	296	12	framework	framework	NOUN
cana-804	296	13	provides	provide	VERB
cana-804	296	14	a	a	DET
cana-804	296	15	proactive	proactive	ADJ
cana-804	296	16	and	and	CCONJ
cana-804	296	17	all	all	ADV
cana-804	296	18	-	-	PUNCT
cana-804	296	19	encompassing	encompass	VERB
cana-804	296	20	way	way	NOUN
cana-804	296	21	to	to	PART
cana-804	296	22	protect	protect	VERB
cana-804	296	23	against	against	ADP
cana-804	296	24	the	the	DET
cana-804	296	25	dangers	danger	NOUN
cana-804	296	26	that	that	SCONJ
cana-804	296	27	bad	bad	ADJ
cana-804	296	28	players	player	NOUN
cana-804	296	29	face	face	VERB
cana-804	296	30	.	.	PUNCT
cana-804	297	1	in	in	ADP
cana-804	297	2	the	the	DET
cana-804	297	3	future	future	NOUN
cana-804	297	4	,	,	PUNCT
cana-804	297	5	more	more	ADJ
cana-804	297	6	research	research	NOUN
cana-804	297	7	and	and	CCONJ
cana-804	297	8	development	development	NOUN
cana-804	297	9	needs	need	VERB
cana-804	297	10	to	to	PART
cana-804	297	11	be	be	AUX
cana-804	297	12	done	do	VERB
cana-804	297	13	to	to	PART
cana-804	297	14	make	make	VERB
cana-804	297	15	the	the	DET
cana-804	297	16	system	system	NOUN
cana-804	297	17	better	well	ADV
cana-804	297	18	and	and	CCONJ
cana-804	297	19	to	to	PART
cana-804	297	20	deal	deal	VERB
cana-804	297	21	with	with	ADP
cana-804	297	22	new	new	ADJ
cana-804	297	23	problems	problem	NOUN
cana-804	297	24	that	that	PRON
cana-804	297	25	come	come	VERB
cana-804	297	26	up	up	ADP
cana-804	297	27	in	in	ADP
cana-804	297	28	cyber	cyber	ADJ
cana-804	297	29	threat	threat	NOUN
cana-804	297	30	intelligence	intelligence	NOUN
cana-804	297	31	analysis	analysis	NOUN
cana-804	297	32	.	.	PUNCT
cana-804	298	1	references	reference	NOUN
cana-804	298	2	[	[	X
cana-804	298	3	1	1	NUM
cana-804	298	4	]	]	X
cana-804	298	5	soylu	soylu	PROPN
cana-804	298	6	,	,	PUNCT
cana-804	298	7	mücahit	mücahit	PROPN
cana-804	298	8	&	&	CCONJ
cana-804	298	9	das	das	PROPN
cana-804	298	10	,	,	PUNCT
cana-804	298	11	resul	resul	PROPN
cana-804	298	12	.	.	PUNCT
cana-804	299	1	(	(	PUNCT
cana-804	299	2	2022	2022	NUM
cana-804	299	3	)	)	PUNCT
cana-804	299	4	.	.	PUNCT
cana-804	300	1	graph	graph	NOUN
cana-804	300	2	visualization	visualization	NOUN
cana-804	300	3	of	of	ADP
cana-804	300	4	cyber	cyber	ADJ
cana-804	300	5	threat	threat	NOUN
cana-804	300	6	intelligence	intelligence	NOUN
cana-804	300	7	data	datum	NOUN
cana-804	300	8	for	for	ADP
cana-804	300	9	analysis	analysis	NOUN
cana-804	300	10	of	of	ADP
cana-804	300	11	cyber	cyber	ADJ
cana-804	300	12	attacks	attack	NOUN
cana-804	300	13	.	.	PUNCT
cana-804	301	1	balkan	balkan	PROPN
cana-804	301	2	journal	journal	NOUN
cana-804	301	3	of	of	ADP
cana-804	301	4	electrical	electrical	ADJ
cana-804	301	5	and	and	CCONJ
cana-804	301	6	computer	computer	NOUN
cana-804	301	7	engineering	engineering	NOUN
cana-804	301	8	.	.	PUNCT
cana-804	302	1	[	[	X
cana-804	302	2	2	2	NUM
cana-804	302	3	]	]	PUNCT
cana-804	302	4	shafiq	shafiq	PROPN
cana-804	302	5	,	,	PUNCT
cana-804	302	6	m.	m.	NOUN
cana-804	302	7	;	;	PUNCT
cana-804	302	8	tian	tian	PROPN
cana-804	302	9	,	,	PUNCT
cana-804	302	10	z.	z.	PROPN
cana-804	302	11	;	;	PUNCT
cana-804	302	12	bashir	bashir	PROPN
cana-804	302	13	,	,	PUNCT
cana-804	302	14	a.k	a.k	PROPN
cana-804	302	15	.	.	PUNCT
cana-804	302	16	;	;	PUNCT
cana-804	302	17	du	du	PROPN
cana-804	302	18	,	,	PUNCT
cana-804	302	19	x.	x.	NOUN
cana-804	302	20	;	;	PUNCT
cana-804	302	21	guizani	guizani	NOUN
cana-804	302	22	,	,	PUNCT
cana-804	302	23	m.	m.	NOUN
cana-804	302	24	corrauc	corrauc	NOUN
cana-804	302	25	:	:	PUNCT
cana-804	302	26	a	a	DET
cana-804	302	27	malicious	malicious	ADJ
cana-804	302	28	bot	bot	NOUN
cana-804	302	29	-	-	PUNCT
cana-804	302	30	iot	iot	NOUN
cana-804	302	31	traffic	traffic	NOUN
cana-804	302	32	detection	detection	NOUN
cana-804	302	33	method	method	NOUN
cana-804	302	34	in	in	ADP
cana-804	302	35	iot	iot	ADJ
cana-804	302	36	network	network	NOUN
cana-804	302	37	using	use	VERB
cana-804	302	38	machine	machine	NOUN
cana-804	302	39	-	-	PUNCT
cana-804	302	40	learning	learn	VERB
cana-804	302	41	techniques	technique	NOUN
cana-804	302	42	.	.	PUNCT
cana-804	303	1	ieee	ieee	NOUN
cana-804	303	2	internet	internet	NOUN
cana-804	303	3	things	thing	NOUN
cana-804	303	4	j.	j.	PROPN
cana-804	303	5	2020	2020	PROPN
cana-804	303	6	,	,	PUNCT
cana-804	303	7	8	8	NUM
cana-804	303	8	,	,	PUNCT
cana-804	303	9	3242–3254	3242–3254	NUM
cana-804	303	10	.	.	PUNCT
cana-804	304	1	[	[	X
cana-804	304	2	3	3	NUM
cana-804	304	3	]	]	X
cana-804	304	4	pokhrel	pokhrel	NOUN
cana-804	304	5	,	,	PUNCT
cana-804	304	6	s.	s.	PROPN
cana-804	304	7	;	;	PUNCT
cana-804	304	8	abbas	abbas	PROPN
cana-804	304	9	,	,	PUNCT
cana-804	304	10	r.	r.	PROPN
cana-804	304	11	;	;	PUNCT
cana-804	304	12	aryal	aryal	PROPN
cana-804	304	13	,	,	PUNCT
cana-804	304	14	b.	b.	PROPN
cana-804	304	15	iot	iot	PROPN
cana-804	304	16	security	security	PROPN
cana-804	304	17	:	:	PUNCT
cana-804	304	18	botnet	botnet	NOUN
cana-804	304	19	detection	detection	NOUN
cana-804	304	20	in	in	ADP
cana-804	304	21	iot	iot	NOUN
cana-804	304	22	using	use	VERB
cana-804	304	23	machine	machine	NOUN
cana-804	304	24	learning	learning	NOUN
cana-804	304	25	.	.	PUNCT
cana-804	305	1	arxiv	arxiv	PROPN
cana-804	305	2	2021	2021	NUM
cana-804	305	3	,	,	PUNCT
cana-804	305	4	arxiv:2104.02231	arxiv:2104.02231	ADJ
cana-804	305	5	.	.	PUNCT
cana-804	306	1	[	[	X
cana-804	306	2	4	4	NUM
cana-804	306	3	]	]	X
cana-804	306	4	popoola	popoola	PROPN
cana-804	306	5	,	,	PUNCT
cana-804	306	6	s.i	s.i	PROPN
cana-804	306	7	.	.	PROPN
cana-804	306	8	;	;	PUNCT
cana-804	306	9	adebisi	adebisi	PROPN
cana-804	306	10	,	,	PUNCT
cana-804	306	11	b.	b.	PROPN
cana-804	306	12	;	;	PUNCT
cana-804	306	13	hammoudeh	hammoudeh	PROPN
cana-804	306	14	,	,	PUNCT
cana-804	306	15	m.	m.	NOUN
cana-804	306	16	;	;	PUNCT
cana-804	306	17	gui	gui	PROPN
cana-804	306	18	,	,	PUNCT
cana-804	306	19	g.	g.	PROPN
cana-804	306	20	;	;	PUNCT
cana-804	306	21	gacanin	gacanin	ADJ
cana-804	306	22	,	,	PUNCT
cana-804	306	23	h.	h.	PROPN
cana-804	306	24	hybrid	hybrid	ADJ
cana-804	306	25	deep	deep	ADJ
cana-804	306	26	learning	learning	NOUN
cana-804	306	27	for	for	ADP
cana-804	306	28	botnet	botnet	NOUN
cana-804	306	29	attack	attack	NOUN
cana-804	306	30	detection	detection	NOUN
cana-804	306	31	in	in	ADP
cana-804	306	32	the	the	DET
cana-804	306	33	internet	internet	NOUN
cana-804	306	34	-	-	PUNCT
cana-804	306	35	of	of	ADP
cana-804	306	36	-	-	PUNCT
cana-804	306	37	things	thing	NOUN
cana-804	306	38	networks	network	NOUN
cana-804	306	39	.	.	PUNCT
cana-804	307	1	ieee	ieee	NOUN
cana-804	307	2	internet	internet	NOUN
cana-804	307	3	things	thing	NOUN
cana-804	307	4	j.	j.	PROPN
cana-804	307	5	2020	2020	PROPN
cana-804	307	6	,	,	PUNCT
cana-804	307	7	8	8	NUM
cana-804	307	8	,	,	PUNCT
cana-804	307	9	4944–4956	4944–4956	NUM
cana-804	307	10	.	.	PUNCT
cana-804	308	1	[	[	X
cana-804	308	2	5	5	NUM
cana-804	308	3	]	]	X
cana-804	308	4	alothman	alothman	NOUN
cana-804	308	5	,	,	PUNCT
cana-804	308	6	z.	z.	PROPN
cana-804	308	7	;	;	PUNCT
cana-804	308	8	alkasassbeh	alkasassbeh	NOUN
cana-804	308	9	,	,	PUNCT
cana-804	308	10	m.	m.	NOUN
cana-804	308	11	;	;	PUNCT
cana-804	308	12	al	al	PROPN
cana-804	308	13	-	-	PUNCT
cana-804	308	14	haj	haj	PROPN
cana-804	308	15	baddar	baddar	NOUN
cana-804	308	16	,	,	PUNCT
cana-804	308	17	s.	s.	PROPN
cana-804	308	18	an	an	DET
cana-804	308	19	efficient	efficient	ADJ
cana-804	308	20	approach	approach	NOUN
cana-804	308	21	to	to	PART
cana-804	308	22	detect	detect	VERB
cana-804	308	23	iot	iot	ADJ
cana-804	308	24	botnet	botnet	NOUN
cana-804	308	25	attacks	attack	NOUN
cana-804	308	26	using	use	VERB
cana-804	308	27	machine	machine	NOUN
cana-804	308	28	learning	learning	NOUN
cana-804	308	29	.	.	PUNCT
cana-804	309	1	j.	j.	PROPN
cana-804	309	2	high	high	ADJ
cana-804	309	3	speed	speed	NOUN
cana-804	309	4	netw	netw	NOUN
cana-804	309	5	.	.	PUNCT
cana-804	310	1	2020	2020	NUM
cana-804	310	2	,	,	PUNCT
cana-804	310	3	26	26	NUM
cana-804	310	4	,	,	PUNCT
cana-804	310	5	241–254	241–254	NUM
cana-804	310	6	.	.	PUNCT
cana-804	311	1	[	[	X
cana-804	311	2	6	6	NUM
cana-804	311	3	]	]	X
cana-804	311	4	asadi	asadi	NOUN
cana-804	311	5	,	,	PUNCT
cana-804	311	6	m.	m.	NOUN
cana-804	311	7	detecting	detect	VERB
cana-804	311	8	iot	iot	NOUN
cana-804	311	9	botnets	botnet	NOUN
cana-804	311	10	based	base	VERB
cana-804	311	11	on	on	ADP
cana-804	311	12	the	the	DET
cana-804	311	13	combination	combination	NOUN
cana-804	311	14	of	of	ADP
cana-804	311	15	cooperative	cooperative	ADJ
cana-804	311	16	game	game	NOUN
cana-804	311	17	theory	theory	NOUN
cana-804	311	18	with	with	ADP
cana-804	311	19	deep	deep	ADJ
cana-804	311	20	and	and	CCONJ
cana-804	311	21	machine	machine	NOUN
cana-804	311	22	learning	learning	NOUN
cana-804	311	23	approaches	approach	NOUN
cana-804	311	24	.	.	PUNCT
cana-804	312	1	j.	j.	PROPN
cana-804	312	2	ambient	ambient	PROPN
cana-804	312	3	.	.	PUNCT
cana-804	313	1	intell	intell	PROPN
cana-804	313	2	.	.	PUNCT
cana-804	314	1	humaniz	humaniz	VERB
cana-804	314	2	.	.	PUNCT
cana-804	315	1	comput	comput	NOUN
cana-804	315	2	.	.	PUNCT
cana-804	316	1	2022	2022	NUM
cana-804	316	2	,	,	PUNCT
cana-804	316	3	13	13	NUM
cana-804	316	4	,	,	PUNCT
cana-804	316	5	5547–5561	5547–5561	NOUN
cana-804	316	6	.	.	PUNCT
cana-804	317	1	[	[	X
cana-804	317	2	7	7	NUM
cana-804	317	3	]	]	X
cana-804	317	4	qiao	qiao	NOUN
cana-804	317	5	,	,	PUNCT
cana-804	317	6	h.	h.	PROPN
cana-804	317	7	;	;	PUNCT
cana-804	317	8	novikov	novikov	PROPN
cana-804	317	9	,	,	PUNCT
cana-804	317	10	b.	b.	PROPN
cana-804	317	11	;	;	PUNCT
cana-804	317	12	blech	blech	PROPN
cana-804	317	13	,	,	PUNCT
cana-804	317	14	j.o	j.o	PROPN
cana-804	317	15	.	.	PROPN
cana-804	317	16	concept	concept	NOUN
cana-804	317	17	drift	drift	NOUN
cana-804	317	18	analysis	analysis	NOUN
cana-804	317	19	by	by	ADP
cana-804	317	20	dynamic	dynamic	ADJ
cana-804	317	21	residual	residual	ADJ
cana-804	317	22	projection	projection	NOUN
cana-804	317	23	for	for	ADP
cana-804	317	24	effectively	effectively	ADV
cana-804	317	25	detecting	detect	VERB
cana-804	317	26	botnet	botnet	NOUN
cana-804	317	27	cyber	cyber	NOUN
cana-804	317	28	-	-	PUNCT
cana-804	317	29	attacks	attack	NOUN
cana-804	317	30	in	in	ADP
cana-804	317	31	iot	iot	ADJ
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cana-804	317	33	.	.	PUNCT
cana-804	318	1	ieee	ieee	PROPN
cana-804	318	2	trans	trans	PROPN
cana-804	318	3	.	.	PUNCT
cana-804	319	1	ind	ind	PROPN
cana-804	319	2	.	.	PUNCT
cana-804	320	1	inform	inform	NOUN
cana-804	320	2	.	.	PUNCT
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cana-804	321	2	,	,	PUNCT
cana-804	321	3	18	18	NUM
cana-804	321	4	,	,	PUNCT
cana-804	321	5	3692–3701	3692–3701	NUM
cana-804	321	6	.	.	PUNCT
cana-804	322	1	[	[	X
cana-804	322	2	8	8	NUM
cana-804	322	3	]	]	PUNCT
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cana-804	322	7	;	;	PUNCT
cana-804	322	8	preda	preda	PROPN
cana-804	322	9	,	,	PUNCT
cana-804	322	10	m.	m.	NOUN
cana-804	322	11	;	;	PUNCT
cana-804	322	12	nila	nila	PROPN
cana-804	322	13	,	,	PUNCT
cana-804	322	14	c.	c.	PROPN
cana-804	322	15	;	;	PUNCT
cana-804	322	16	bica	bica	PROPN
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cana-804	322	18	i.	i.	PROPN
cana-804	322	19	iot	iot	PROPN
cana-804	322	20	botnet	botnet	PROPN
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cana-804	322	23	using	use	VERB
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cana-804	323	2	2021	2021	NUM
cana-804	323	3	,	,	PUNCT
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cana-804	323	5	,	,	PUNCT
cana-804	323	6	1876	1876	NUM
cana-804	323	7	.	.	PUNCT
cana-804	324	1	[	[	X
cana-804	324	2	9	9	NUM
cana-804	324	3	]	]	X
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cana-804	324	5	,	,	PUNCT
cana-804	324	6	s.i	s.i	PROPN
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cana-804	324	8	;	;	PUNCT
cana-804	324	9	adebisi	adebisi	PROPN
cana-804	324	10	,	,	PUNCT
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cana-804	324	12	;	;	PUNCT
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cana-804	324	16	;	;	PUNCT
cana-804	324	17	hammoudeh	hammoudeh	NOUN
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cana-804	324	20	;	;	PUNCT
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cana-804	324	24	;	;	PUNCT
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cana-804	324	26	,	,	PUNCT
cana-804	324	27	a.a	a.a	PROPN
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cana-804	324	30	-	-	PUNCT
cana-804	324	31	drnn	drnn	NOUN
cana-804	324	32	:	:	PUNCT
cana-804	324	33	a	a	DET
cana-804	324	34	deep	deep	ADJ
cana-804	324	35	learning	learning	NOUN
cana-804	324	36	algorithm	algorithm	NOUN
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cana-804	324	40	in	in	ADP
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cana-804	324	42	internet	internet	NOUN
cana-804	324	43	-	-	PUNCT
cana-804	324	44	of	of	ADP
cana-804	324	45	-	-	PUNCT
cana-804	324	46	things	thing	NOUN
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cana-804	324	48	.	.	PUNCT
cana-804	325	1	sensors	sensor	NOUN
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cana-804	325	3	,	,	PUNCT
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cana-804	325	5	,	,	PUNCT
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cana-804	325	7	.	.	PUNCT
cana-804	326	1	[	[	X
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cana-804	326	3	]	]	X
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cana-804	326	5	,	,	PUNCT
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cana-804	326	7	;	;	PUNCT
cana-804	326	8	poonkuzhali	poonkuzhali	PROPN
cana-804	326	9	,	,	PUNCT
cana-804	326	10	s.	s.	PROPN
cana-804	326	11	a	a	DET
cana-804	326	12	novel	novel	ADJ
cana-804	326	13	approach	approach	NOUN
cana-804	326	14	for	for	ADP
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cana-804	326	16	iot	iot	NOUN
cana-804	326	17	botnet	botnet	NOUN
cana-804	326	18	using	use	VERB
cana-804	326	19	balanced	balanced	ADJ
cana-804	326	20	network	network	NOUN
cana-804	326	21	traffic	traffic	NOUN
cana-804	326	22	attributes	attribute	VERB
cana-804	326	23	.	.	PUNCT
cana-804	327	1	in	in	ADP
cana-804	327	2	proceedings	proceeding	NOUN
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cana-804	327	5	service	service	NOUN
cana-804	327	6	-	-	PUNCT
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cana-804	327	8	computing	computing	NOUN
cana-804	327	9	–	–	PUNCT
cana-804	327	10	icsoc	icsoc	NOUN
cana-804	327	11	2020	2020	NUM
cana-804	327	12	workshops	workshop	NOUN
cana-804	327	13	:	:	PUNCT
cana-804	327	14	aiops	aiop	NOUN
cana-804	327	15	,	,	PUNCT
cana-804	327	16	cftic	cftic	NOUN
cana-804	327	17	,	,	PUNCT
cana-804	327	18	straps	strap	NOUN
cana-804	327	19	,	,	PUNCT
cana-804	327	20	ai	ai	PROPN
cana-804	327	21	-	-	PUNCT
cana-804	327	22	pa	pa	PROPN
cana-804	327	23	,	,	PUNCT
cana-804	327	24	ai	ai	NOUN
cana-804	327	25	-	-	PUNCT
cana-804	327	26	iots	iot	NOUN
cana-804	327	27	,	,	PUNCT
cana-804	327	28	and	and	CCONJ
cana-804	327	29	satellite	satellite	NOUN
cana-804	327	30	events	event	NOUN
cana-804	327	31	,	,	PUNCT
cana-804	327	32	dubai	dubai	PROPN
cana-804	327	33	,	,	PUNCT
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cana-804	327	36	emirates	emirates	PROPN
cana-804	327	37	,	,	PUNCT
cana-804	327	38	14–17	14–17	NUM
cana-804	327	39	december	december	PROPN
cana-804	327	40	2020	2020	NUM
cana-804	327	41	;	;	PUNCT
cana-804	327	42	springer	springer	NOUN
cana-804	327	43	:	:	PUNCT
cana-804	327	44	cham	cham	PROPN
cana-804	327	45	,	,	PUNCT
cana-804	327	46	switzerland	switzerland	PROPN
cana-804	327	47	,	,	PUNCT
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cana-804	327	49	;	;	PUNCT
cana-804	327	50	pp	pp	X
cana-804	327	51	.	.	PUNCT
cana-804	328	1	534–548	534–548	NUM
cana-804	328	2	.	.	PUNCT
cana-804	329	1	[	[	X
cana-804	329	2	11	11	NUM
cana-804	329	3	]	]	PUNCT
cana-804	329	4	s.	s.	PROPN
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cana-804	329	6	and	and	CCONJ
cana-804	329	7	m.	m.	NOUN
cana-804	329	8	wanjari	wanjari	PROPN
cana-804	329	9	,	,	PUNCT
cana-804	329	10	"	"	PUNCT
cana-804	329	11	an	an	DET
cana-804	329	12	efficient	efficient	ADJ
cana-804	329	13	approach	approach	NOUN
cana-804	329	14	for	for	ADP
cana-804	329	15	clustering	cluster	VERB
cana-804	329	16	uncertain	uncertain	ADJ
cana-804	329	17	data	datum	NOUN
cana-804	329	18	mining	mining	NOUN
cana-804	329	19	based	base	VERB
cana-804	329	20	on	on	ADP
cana-804	329	21	hash	hash	NOUN
cana-804	329	22	indexing	indexing	NOUN
cana-804	329	23	and	and	CCONJ
cana-804	329	24	voronoi	voronoi	NOUN
cana-804	329	25	clustering	clustering	NOUN
cana-804	329	26	,	,	PUNCT
cana-804	329	27	"	"	PUNCT
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cana-804	329	29	5th	5th	ADJ
cana-804	329	30	international	international	ADJ
cana-804	329	31	conference	conference	NOUN
cana-804	329	32	and	and	CCONJ
cana-804	329	33	computational	computational	ADJ
cana-804	329	34	intelligence	intelligence	NOUN
cana-804	329	35	and	and	CCONJ
cana-804	329	36	communication	communication	NOUN
cana-804	329	37	networks	network	NOUN
cana-804	329	38	,	,	PUNCT
cana-804	329	39	mathura	mathura	NOUN
cana-804	329	40	,	,	PUNCT
cana-804	329	41	india	india	PROPN
cana-804	329	42	,	,	PUNCT
cana-804	329	43	2013	2013	NUM
cana-804	329	44	,	,	PUNCT
cana-804	329	45	pp	pp	ADJ
cana-804	329	46	.	.	PUNCT
cana-804	330	1	486	486	NUM
cana-804	330	2	-	-	SYM
cana-804	330	3	490	490	NUM
cana-804	330	4	,	,	PUNCT
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cana-804	330	10	.	.	PUNCT
cana-804	331	1	[	[	X
cana-804	331	2	12	12	NUM
cana-804	331	3	]	]	X
cana-804	331	4	baig	baig	PROPN
cana-804	331	5	,	,	PUNCT
cana-804	331	6	z.a	z.a	PROPN
cana-804	331	7	.	.	PROPN
cana-804	331	8	;	;	PUNCT
cana-804	331	9	sanguanpong	sanguanpong	PROPN
cana-804	331	10	,	,	PUNCT
cana-804	331	11	s.	s.	PROPN
cana-804	331	12	;	;	PUNCT
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cana-804	331	14	,	,	PUNCT
cana-804	331	15	s.n	s.n	PROPN
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cana-804	331	17	;	;	PUNCT
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cana-804	331	20	t.g	t.g	PROPN
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cana-804	331	22	;	;	PUNCT
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cana-804	331	24	-	-	PUNCT
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cana-804	331	34	detection	detection	NOUN
cana-804	331	35	in	in	ADP
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cana-804	331	38	.	.	PUNCT
cana-804	332	1	future	future	ADJ
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cana-804	333	1	comput	comput	PROPN
cana-804	333	2	.	.	PUNCT
cana-804	334	1	syst	syst	PROPN
cana-804	334	2	.	.	PUNCT
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cana-804	335	2	,	,	PUNCT
cana-804	335	3	102	102	NUM
cana-804	335	4	,	,	PUNCT
cana-804	335	5	198–209	198–209	NUM
cana-804	335	6	.	.	PUNCT
cana-804	336	1	communications	communication	NOUN
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cana-804	336	7	:	:	PUNCT
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cana-804	336	9	-	-	PUNCT
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cana-804	336	14	.	.	PUNCT
cana-804	337	1	3s	3s	NUM
cana-804	337	2	(	(	PUNCT
cana-804	337	3	2024	2024	NUM
cana-804	337	4	)	)	PUNCT
cana-804	337	5	519	519	NUM
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cana-804	338	1	[	[	X
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cana-804	338	3	]	]	PUNCT
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cana-804	338	20	"	"	PUNCT
cana-804	338	21	,	,	PUNCT
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cana-804	340	2	.	.	PUNCT
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cana-804	341	2	.	.	PUNCT
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cana-804	342	2	.	.	PUNCT
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cana-804	345	2	-	-	SYM
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cana-804	345	4	,	,	PUNCT
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cana-804	346	1	[	[	X
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cana-804	346	11	;	;	PUNCT
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cana-804	346	14	g.p	g.p	PROPN
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cana-804	346	37	leveraging	leverage	VERB
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cana-804	347	2	.	.	PUNCT
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cana-804	348	2	.	.	PUNCT
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cana-804	349	2	.	.	PUNCT
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cana-804	350	2	.	.	PROPN
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cana-804	351	1	[	[	X
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cana-804	351	5	,	,	PUNCT
cana-804	351	6	p.	p.	NOUN
cana-804	351	7	;	;	PUNCT
cana-804	351	8	thornewill	thornewill	PROPN
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cana-804	351	13	;	;	PUNCT
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cana-804	351	17	;	;	PUNCT
cana-804	351	18	chrysoulas	chrysoula	NOUN
cana-804	351	19	,	,	PUNCT
cana-804	351	20	c.	c.	NOUN
cana-804	351	21	;	;	PUNCT
cana-804	351	22	mylonas	mylona	NOUN
cana-804	351	23	,	,	PUNCT
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cana-804	351	25	;	;	PUNCT
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cana-804	351	33	against	against	ADP
cana-804	351	34	network	network	NOUN
cana-804	351	35	intrusion	intrusion	NOUN
cana-804	351	36	detection	detection	NOUN
cana-804	351	37	systems	system	NOUN
cana-804	351	38	for	for	ADP
cana-804	351	39	iot	iot	NOUN
cana-804	351	40	.	.	PUNCT
cana-804	351	41	j.	j.	PROPN
cana-804	351	42	cybersecur	cybersecur	PROPN
cana-804	351	43	.	.	PUNCT
cana-804	352	1	priv	priv	PROPN
cana-804	352	2	.	.	PUNCT
cana-804	353	1	2021	2021	NUM
cana-804	353	2	,	,	PUNCT
cana-804	353	3	1	1	NUM
cana-804	353	4	,	,	PUNCT
cana-804	353	5	252–273	252–273	NUM
cana-804	353	6	.	.	PUNCT
cana-804	354	1	[	[	X
cana-804	354	2	16	16	NUM
cana-804	354	3	]	]	X
cana-804	354	4	nimbalkar	nimbalkar	NOUN
cana-804	354	5	,	,	PUNCT
cana-804	354	6	p.	p.	PROPN
cana-804	354	7	;	;	PUNCT
cana-804	354	8	kshirsagar	kshirsagar	PROPN
cana-804	354	9	,	,	PUNCT
cana-804	354	10	d.	d.	PROPN
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cana-804	354	12	selection	selection	NOUN
cana-804	354	13	for	for	ADP
cana-804	354	14	intrusion	intrusion	NOUN
cana-804	354	15	detection	detection	NOUN
cana-804	354	16	system	system	NOUN
cana-804	354	17	in	in	ADP
cana-804	354	18	internet	internet	NOUN
cana-804	354	19	-	-	PUNCT
cana-804	354	20	of	of	ADP
cana-804	354	21	-	-	PUNCT
cana-804	354	22	things	thing	NOUN
cana-804	354	23	(	(	PUNCT
cana-804	354	24	iot	iot	NOUN
cana-804	354	25	)	)	PUNCT
cana-804	354	26	.	.	PUNCT
cana-804	355	1	ict	ict	PROPN
cana-804	355	2	express	express	VERB
cana-804	355	3	2021	2021	NUM
cana-804	355	4	,	,	PUNCT
cana-804	355	5	7	7	NUM
cana-804	355	6	,	,	PUNCT
cana-804	355	7	177–181	177–181	NUM
cana-804	355	8	.	.	PUNCT
cana-804	356	1	[	[	X
cana-804	356	2	17	17	NUM
cana-804	356	3	]	]	PUNCT
cana-804	356	4	derhab	derhab	PROPN
cana-804	356	5	,	,	PUNCT
cana-804	356	6	a.	a.	NOUN
cana-804	356	7	;	;	PUNCT
cana-804	356	8	aldweesh	aldweesh	ADJ
cana-804	356	9	,	,	PUNCT
cana-804	356	10	a.	a.	NOUN
cana-804	356	11	;	;	PUNCT
cana-804	356	12	emam	emam	PROPN
cana-804	356	13	,	,	PUNCT
cana-804	356	14	a.z	a.z	PROPN
cana-804	356	15	.	.	PROPN
cana-804	356	16	;	;	PUNCT
cana-804	356	17	khan	khan	PROPN
cana-804	356	18	,	,	PUNCT
cana-804	356	19	f.a	f.a	PROPN
cana-804	356	20	.	.	PROPN
cana-804	356	21	intrusion	intrusion	NOUN
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cana-804	356	23	system	system	NOUN
cana-804	356	24	for	for	ADP
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cana-804	356	26	of	of	ADP
cana-804	356	27	things	thing	NOUN
cana-804	356	28	based	base	VERB
cana-804	356	29	on	on	ADP
cana-804	356	30	temporal	temporal	ADJ
cana-804	356	31	convolution	convolution	NOUN
cana-804	356	32	neural	neural	ADJ
cana-804	356	33	network	network	NOUN
cana-804	356	34	and	and	CCONJ
cana-804	356	35	efficient	efficient	ADJ
cana-804	356	36	feature	feature	NOUN
cana-804	356	37	engineering	engineering	NOUN
cana-804	356	38	.	.	PUNCT
cana-804	357	1	wirel	wirel	NOUN
cana-804	357	2	.	.	PUNCT
cana-804	358	1	commun	commun	PROPN
cana-804	358	2	.	.	PUNCT
cana-804	359	1	mob	mob	PROPN
cana-804	359	2	.	.	PUNCT
cana-804	360	1	comput	comput	NOUN
cana-804	360	2	.	.	PUNCT
cana-804	361	1	2020	2020	NUM
cana-804	361	2	,	,	PUNCT
cana-804	361	3	2020	2020	NUM
cana-804	361	4	,	,	PUNCT
cana-804	361	5	6689134	6689134	NUM
cana-804	361	6	.	.	PUNCT
cana-804	362	1	[	[	X
cana-804	362	2	18	18	NUM
cana-804	362	3	]	]	PUNCT
cana-804	362	4	ullah	ullah	PROPN
cana-804	362	5	,	,	PUNCT
cana-804	362	6	i.	i.	PROPN
cana-804	362	7	;	;	PUNCT
cana-804	362	8	ullah	ullah	PROPN
cana-804	362	9	,	,	PUNCT
cana-804	362	10	a.	a.	PROPN
cana-804	362	11	;	;	PUNCT
cana-804	362	12	sajjad	sajjad	PROPN
cana-804	362	13	,	,	PUNCT
cana-804	362	14	m.	m.	NOUN
cana-804	362	15	towards	towards	ADP
cana-804	362	16	a	a	DET
cana-804	362	17	hybrid	hybrid	ADJ
cana-804	362	18	deep	deep	ADJ
cana-804	362	19	learning	learning	NOUN
cana-804	362	20	model	model	NOUN
cana-804	362	21	for	for	ADP
cana-804	362	22	anomalous	anomalous	ADJ
cana-804	362	23	activities	activity	NOUN
cana-804	362	24	detection	detection	NOUN
cana-804	362	25	in	in	ADP
cana-804	362	26	internet	internet	NOUN
cana-804	362	27	of	of	ADP
cana-804	362	28	things	thing	NOUN
cana-804	362	29	networks	network	NOUN
cana-804	362	30	.	.	PUNCT
cana-804	363	1	iot	iot	PROPN
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cana-804	363	3	,	,	PUNCT
cana-804	363	4	2	2	NUM
cana-804	363	5	,	,	PUNCT
cana-804	363	6	428–448	428–448	NUM
cana-804	363	7	.	.	PUNCT
cana-804	364	1	[	[	X
cana-804	364	2	19	19	NUM
cana-804	364	3	]	]	X
cana-804	364	4	islam	islam	PROPN
cana-804	364	5	,	,	PUNCT
cana-804	364	6	r.	r.	PROPN
cana-804	364	7	;	;	PUNCT
cana-804	364	8	refat	refat	NOUN
cana-804	364	9	,	,	PUNCT
cana-804	364	10	r.u.d	r.u.d	NOUN
cana-804	364	11	.	.	PUNCT
cana-804	364	12	;	;	PUNCT
cana-804	364	13	yerram	yerram	PROPN
cana-804	364	14	,	,	PUNCT
cana-804	364	15	s.m	s.m	PROPN
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cana-804	364	17	;	;	PUNCT
cana-804	364	18	malik	malik	PROPN
cana-804	364	19	,	,	PUNCT
cana-804	364	20	h.	h.	PROPN
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cana-804	364	28	controller	controller	NOUN
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cana-804	364	30	networks	network	NOUN
cana-804	364	31	.	.	PUNCT
cana-804	365	1	ieee	ieee	PROPN
cana-804	365	2	trans	trans	PROPN
cana-804	365	3	.	.	PUNCT
cana-804	366	1	intell	intell	PROPN
cana-804	366	2	.	.	PUNCT
cana-804	367	1	transp	transp	PROPN
cana-804	367	2	.	.	PUNCT
cana-804	368	1	syst	syst	PROPN
cana-804	368	2	.	.	PUNCT
cana-804	369	1	2020	2020	NUM
cana-804	369	2	,	,	PUNCT
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cana-804	369	4	,	,	PUNCT
cana-804	369	5	1727–1736	1727–1736	NUM
cana-804	369	6	.	.	PUNCT
cana-804	370	1	[	[	X
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cana-804	370	3	]	]	X
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cana-804	370	5	,	,	PUNCT
cana-804	370	6	c.c	c.c	PROPN
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cana-804	370	8	;	;	PUNCT
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cana-804	370	14	-	-	PUNCT
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cana-804	370	18	.	.	PUNCT
cana-804	371	1	in	in	ADP
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cana-804	371	5	ninth	ninth	ADJ
cana-804	371	6	acm	acm	PROPN
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cana-804	371	10	on	on	ADP
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cana-804	371	16	,	,	PUNCT
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cana-804	371	19	dc	dc	PROPN
cana-804	371	20	,	,	PUNCT
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cana-804	371	22	,	,	PUNCT
cana-804	371	23	24–27	24–27	NUM
cana-804	371	24	august	august	NOUN
cana-804	371	25	2003	2003	NUM
cana-804	371	26	;	;	PUNCT
cana-804	371	27	pp	pp	ADP
cana-804	371	28	.	.	PUNCT
cana-804	372	1	631–636	631–636	NUM
cana-804	372	2	.	.	PUNCT
cana-804	373	1	[	[	X
cana-804	373	2	21	21	NUM
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cana-804	373	5	,	,	PUNCT
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cana-804	373	7	;	;	PUNCT
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cana-804	373	9	,	,	PUNCT
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cana-804	373	11	;	;	PUNCT
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cana-804	373	13	,	,	PUNCT
cana-804	373	14	a.	a.	NOUN
cana-804	373	15	;	;	PUNCT
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cana-804	373	17	,	,	PUNCT
cana-804	373	18	d.	d.	PROPN
cana-804	373	19	;	;	PUNCT
cana-804	373	20	refanidis	refanidis	PROPN
cana-804	373	21	,	,	PUNCT
cana-804	373	22	i.	i.	NOUN
cana-804	373	23	a	a	DET
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cana-804	373	26	network	network	NOUN
cana-804	373	27	method	method	NOUN
cana-804	373	28	for	for	ADP
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cana-804	373	30	anomaly	anomaly	NOUN
cana-804	373	31	detection	detection	NOUN
cana-804	373	32	in	in	ADP
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cana-804	373	34	.	.	PUNCT
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cana-804	373	36	.	.	PUNCT
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cana-804	374	2	.	.	PUNCT
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cana-804	374	4	,	,	PUNCT
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cana-804	374	6	,	,	PUNCT
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cana-804	374	8	.	.	PUNCT
cana-804	375	1	[	[	X
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cana-804	375	3	]	]	X
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cana-804	375	5	,	,	PUNCT
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cana-804	375	8	;	;	PUNCT
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cana-804	375	12	;	;	PUNCT
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cana-804	375	14	,	,	PUNCT
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cana-804	375	16	;	;	PUNCT
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cana-804	375	20	;	;	PUNCT
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cana-804	375	22	,	,	PUNCT
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cana-804	375	24	e	e	NOUN
cana-804	375	25	-	-	NOUN
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cana-804	375	27	:	:	PUNCT
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cana-804	375	38	.	.	PUNCT
cana-804	376	1	in	in	ADP
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cana-804	376	5	noms	nom	NOUN
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cana-804	376	7	-	-	SYM
cana-804	376	8	2022	2022	NUM
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cana-804	376	10	/	/	SYM
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cana-804	376	17	,	,	PUNCT
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cana-804	376	25	;	;	PUNCT
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cana-804	377	1	1–9	1–9	NOUN
cana-804	377	2	.	.	PUNCT
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cana-804	378	7	;	;	PUNCT
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cana-804	378	15	;	;	PUNCT
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cana-804	378	17	,	,	PUNCT
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cana-804	378	19	.	.	PUNCT
cana-804	379	1	a	a	DET
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cana-804	379	5	-	-	PUNCT
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cana-804	379	16	.	.	PUNCT
cana-804	380	1	ieee	ieee	NOUN
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cana-804	380	8	,	,	PUNCT
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cana-804	380	10	.	.	PUNCT
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cana-804	381	3	]	]	PUNCT
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cana-804	381	23	&	&	CCONJ
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cana-804	381	27	(	(	PUNCT
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cana-804	381	29	)	)	PUNCT
cana-804	381	30	.	.	PUNCT
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cana-804	382	12	.	.	PUNCT
cana-804	383	1	joiv	joiv	PROPN
cana-804	383	2	:	:	PUNCT
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cana-804	383	10	)	)	PUNCT
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cana-804	383	13	-	-	SYM
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cana-804	383	15	.	.	PUNCT
cana-804	384	1	[	[	X
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cana-804	392	3	]	]	X
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cana-804	392	5	,	,	PUNCT
cana-804	392	6	dinesh	dinesh	PROPN
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cana-804	392	8	kumar	kumar	PROPN
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cana-804	392	13	,	,	PUNCT
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cana-804	392	15	&	&	CCONJ
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cana-804	392	17	,	,	PUNCT
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cana-804	392	19	(	(	PUNCT
cana-804	392	20	2024	2024	NUM
cana-804	392	21	)	)	PUNCT
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cana-804	392	23	wireless	wireless	ADJ
cana-804	392	24	sensor	sensor	NOUN
cana-804	392	25	networks	network	NOUN
cana-804	392	26	with	with	ADP
cana-804	392	27	novel	novel	ADJ
cana-804	392	28	hybrid	hybrid	ADJ
cana-804	392	29	lightweight	lightweight	ADJ
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cana-804	392	31	protocols	protocol	NOUN
cana-804	392	32	,	,	PUNCT
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cana-804	392	34	of	of	ADP
cana-804	392	35	discrete	discrete	ADJ
cana-804	392	36	mathematical	mathematical	ADJ
cana-804	392	37	sciences	science	NOUN
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cana-804	392	40	,	,	PUNCT
cana-804	392	41	27:2	27:2	NUM
cana-804	392	42	-	-	SYM
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cana-804	392	46	,	,	PUNCT
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