id	sid	tid	token	lemma	pos
cana-3828	1	1	communications	communication	NOUN
cana-3828	1	2	on	on	ADP
cana-3828	1	3	applied	apply	VERB
cana-3828	1	4	nonlinear	nonlinear	ADJ
cana-3828	1	5	analysis	analysis	NOUN
cana-3828	1	6	issn	issn	NOUN
cana-3828	1	7	:	:	PUNCT
cana-3828	1	8	1074	1074	NUM
cana-3828	1	9	-	-	PUNCT
cana-3828	1	10	133x	133x	NUM
cana-3828	1	11	vol	vol	NOUN
cana-3828	1	12	32	32	NUM
cana-3828	1	13	no	no	NOUN
cana-3828	1	14	.	.	PUNCT
cana-3828	2	1	8s	8s	PROPN
cana-3828	2	2	(	(	PUNCT
cana-3828	2	3	2025	2025	NUM
cana-3828	2	4	)	)	PUNCT
cana-3828	2	5	869	869	NUM
cana-3828	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	3	2	analysis	analysis	NOUN
cana-3828	3	3	of	of	ADP
cana-3828	3	4	ransomware	ransomware	NOUN
cana-3828	3	5	attack	attack	NOUN
cana-3828	3	6	detection	detection	NOUN
cana-3828	3	7	using	use	VERB
cana-3828	3	8	machine	machine	NOUN
cana-3828	3	9	learning	learn	VERB
cana-3828	3	10	algorithms	algorithms	PROPN
cana-3828	3	11	b.	b.	PROPN
cana-3828	3	12	m.	m.	PROPN
cana-3828	4	1	bandgar1	bandgar1	PROPN
cana-3828	4	2	*	*	PROPN
cana-3828	4	3	,	,	PUNCT
cana-3828	4	4	abhijeet	abhijeet	PROPN
cana-3828	4	5	mote2	mote2	PROPN
cana-3828	4	6	1associte	1associte	NUM
cana-3828	4	7	professor	professor	NOUN
cana-3828	4	8	.	.	PUNCT
cana-3828	5	1	sri	sri	PROPN
cana-3828	5	2	balaji	balaji	PROPN
cana-3828	5	3	university	university	PROPN
cana-3828	5	4	pune	pune	NOUN
cana-3828	5	5	,	,	PUNCT
cana-3828	5	6	school	school	NOUN
cana-3828	5	7	of	of	ADP
cana-3828	5	8	computer	computer	NOUN
cana-3828	5	9	studies	study	NOUN
cana-3828	5	10	,	,	PUNCT
cana-3828	5	11	maharashtra	maharashtra	PROPN
cana-3828	5	12	,	,	PUNCT
cana-3828	5	13	india	india	PROPN
cana-3828	5	14	(	(	PUNCT
cana-3828	5	15	pin-411033	pin-411033	PROPN
cana-3828	5	16	)	)	PUNCT
cana-3828	5	17	email	email	NOUN
cana-3828	5	18	:	:	PUNCT
cana-3828	6	1	bapuraob@yahoo.com	bapuraob@yahoo.com	X
cana-3828	6	2	*	*	PUNCT
cana-3828	6	3	(	(	PUNCT
cana-3828	6	4	corresponding	correspond	VERB
cana-3828	6	5	author	author	NOUN
cana-3828	6	6	)	)	PUNCT
cana-3828	6	7	2sr.associate	2sr.associate	NUM
cana-3828	6	8	,	,	PUNCT
cana-3828	6	9	mountain	mountain	NOUN
cana-3828	6	10	digitals	digitals	PROPN
cana-3828	6	11	texas	texas	PROPN
cana-3828	6	12	,	,	PUNCT
cana-3828	6	13	usa	usa	PROPN
cana-3828	6	14	.	.	PROPN
cana-3828	6	15	article	article	PROPN
cana-3828	6	16	history	history	NOUN
cana-3828	6	17	:	:	PUNCT
cana-3828	6	18	received	receive	VERB
cana-3828	6	19	:	:	PUNCT
cana-3828	6	20	11	11	NUM
cana-3828	6	21	-	-	SYM
cana-3828	6	22	11	11	NUM
cana-3828	6	23	-	-	PUNCT
cana-3828	6	24	2024	2024	NUM
cana-3828	6	25	revised:24	revised:24	X
cana-3828	6	26	-	-	PUNCT
cana-3828	6	27	12	12	NUM
cana-3828	6	28	-	-	PUNCT
cana-3828	6	29	2024	2024	NUM
cana-3828	6	30	accepted:09	accepted:09	NOUN
cana-3828	6	31	-	-	PUNCT
cana-3828	6	32	01	01	NUM
cana-3828	6	33	-	-	PUNCT
cana-3828	6	34	2025	2025	NUM
cana-3828	6	35	abstract	abstract	NOUN
cana-3828	6	36	:	:	PUNCT
cana-3828	6	37	ransomware	ransomware	NOUN
cana-3828	6	38	is	be	AUX
cana-3828	6	39	one	one	NUM
cana-3828	6	40	of	of	ADP
cana-3828	6	41	the	the	DET
cana-3828	6	42	most	most	ADV
cana-3828	6	43	prevalent	prevalent	ADJ
cana-3828	6	44	and	and	CCONJ
cana-3828	6	45	damaging	damaging	ADJ
cana-3828	6	46	forms	form	NOUN
cana-3828	6	47	of	of	ADP
cana-3828	6	48	cyberattacks	cyberattack	NOUN
cana-3828	6	49	,	,	PUNCT
cana-3828	6	50	causing	cause	VERB
cana-3828	6	51	substantial	substantial	ADJ
cana-3828	6	52	losses	loss	NOUN
cana-3828	6	53	to	to	ADP
cana-3828	6	54	organizations	organization	NOUN
cana-3828	6	55	worldwide	worldwide	ADV
cana-3828	6	56	.	.	PUNCT
cana-3828	7	1	the	the	DET
cana-3828	7	2	increasing	increase	VERB
cana-3828	7	3	sophistication	sophistication	NOUN
cana-3828	7	4	of	of	ADP
cana-3828	7	5	ransomware	ransomware	NOUN
cana-3828	7	6	demands	demand	VERB
cana-3828	7	7	advanced	advanced	ADJ
cana-3828	7	8	detection	detection	NOUN
cana-3828	7	9	techniques	technique	NOUN
cana-3828	7	10	to	to	PART
cana-3828	7	11	identify	identify	VERB
cana-3828	7	12	and	and	CCONJ
cana-3828	7	13	mitigate	mitigate	VERB
cana-3828	7	14	potential	potential	ADJ
cana-3828	7	15	threats	threat	NOUN
cana-3828	7	16	.	.	PUNCT
cana-3828	8	1	this	this	DET
cana-3828	8	2	research	research	NOUN
cana-3828	8	3	explores	explore	VERB
cana-3828	8	4	machine	machine	NOUN
cana-3828	8	5	learning	learning	NOUN
cana-3828	8	6	models	model	NOUN
cana-3828	8	7	,	,	PUNCT
cana-3828	8	8	including	include	VERB
cana-3828	8	9	random	random	ADJ
cana-3828	8	10	forest	forest	NOUN
cana-3828	8	11	,	,	PUNCT
cana-3828	8	12	gradient	gradient	ADJ
cana-3828	8	13	boosting	boost	VERB
cana-3828	8	14	machines	machine	NOUN
cana-3828	8	15	(	(	PUNCT
cana-3828	8	16	gbm	gbm	NOUN
cana-3828	8	17	)	)	PUNCT
cana-3828	8	18	,	,	PUNCT
cana-3828	8	19	and	and	CCONJ
cana-3828	8	20	logistic	logistic	ADJ
cana-3828	8	21	regression	regression	NOUN
cana-3828	8	22	,	,	PUNCT
cana-3828	8	23	to	to	PART
cana-3828	8	24	enhance	enhance	VERB
cana-3828	8	25	ransomware	ransomware	NOUN
cana-3828	8	26	attack	attack	NOUN
cana-3828	8	27	detection	detection	NOUN
cana-3828	8	28	.	.	PUNCT
cana-3828	9	1	the	the	DET
cana-3828	9	2	study	study	NOUN
cana-3828	9	3	analyzes	analyze	VERB
cana-3828	9	4	their	their	PRON
cana-3828	9	5	performance	performance	NOUN
cana-3828	9	6	using	use	VERB
cana-3828	9	7	metrics	metric	NOUN
cana-3828	9	8	such	such	ADJ
cana-3828	9	9	as	as	ADP
cana-3828	9	10	precision	precision	NOUN
cana-3828	9	11	,	,	PUNCT
cana-3828	9	12	recall	recall	NOUN
cana-3828	9	13	,	,	PUNCT
cana-3828	9	14	and	and	CCONJ
cana-3828	9	15	cross	cross	ADJ
cana-3828	9	16	-	-	ADJ
cana-3828	9	17	validation	validation	ADJ
cana-3828	9	18	accuracy	accuracy	NOUN
cana-3828	9	19	.	.	PUNCT
cana-3828	10	1	this	this	DET
cana-3828	10	2	paper	paper	NOUN
cana-3828	10	3	aims	aim	VERB
cana-3828	10	4	to	to	PART
cana-3828	10	5	demonstrate	demonstrate	VERB
cana-3828	10	6	the	the	DET
cana-3828	10	7	efficacy	efficacy	NOUN
cana-3828	10	8	of	of	ADP
cana-3828	10	9	machine	machine	NOUN
cana-3828	10	10	learning	learning	NOUN
cana-3828	10	11	in	in	ADP
cana-3828	10	12	ransomware	ransomware	NOUN
cana-3828	10	13	detection	detection	NOUN
cana-3828	10	14	and	and	CCONJ
cana-3828	10	15	provide	provide	VERB
cana-3828	10	16	a	a	DET
cana-3828	10	17	comparative	comparative	ADJ
cana-3828	10	18	analysis	analysis	NOUN
cana-3828	10	19	of	of	ADP
cana-3828	10	20	these	these	DET
cana-3828	10	21	algorithms	algorithm	NOUN
cana-3828	10	22	,	,	PUNCT
cana-3828	10	23	identifying	identify	VERB
cana-3828	10	24	potential	potential	ADJ
cana-3828	10	25	areas	area	NOUN
cana-3828	10	26	for	for	ADP
cana-3828	10	27	future	future	ADJ
cana-3828	10	28	improvements	improvement	NOUN
cana-3828	10	29	.	.	PUNCT
cana-3828	11	1	this	this	DET
cana-3828	11	2	document	document	NOUN
cana-3828	11	3	includes	include	VERB
cana-3828	11	4	an	an	DET
cana-3828	11	5	overview	overview	NOUN
cana-3828	11	6	of	of	ADP
cana-3828	11	7	ransomware	ransomware	NOUN
cana-3828	11	8	,	,	PUNCT
cana-3828	11	9	a	a	DET
cana-3828	11	10	timeline	timeline	NOUN
cana-3828	11	11	of	of	ADP
cana-3828	11	12	assaults	assault	NOUN
cana-3828	11	13	,	,	PUNCT
cana-3828	11	14	and	and	CCONJ
cana-3828	11	15	details	detail	NOUN
cana-3828	11	16	on	on	ADP
cana-3828	11	17	their	their	PRON
cana-3828	11	18	background	background	NOUN
cana-3828	11	19	.	.	PUNCT
cana-3828	12	1	it	it	PRON
cana-3828	12	2	also	also	ADV
cana-3828	12	3	provides	provide	VERB
cana-3828	12	4	comprehensive	comprehensive	ADJ
cana-3828	12	5	research	research	NOUN
cana-3828	12	6	on	on	ADP
cana-3828	12	7	existing	exist	VERB
cana-3828	12	8	methods	method	NOUN
cana-3828	12	9	for	for	ADP
cana-3828	12	10	identifying	identify	VERB
cana-3828	12	11	,	,	PUNCT
cana-3828	12	12	avoiding	avoid	VERB
cana-3828	12	13	,	,	PUNCT
cana-3828	12	14	minimizing	minimize	VERB
cana-3828	12	15	,	,	PUNCT
cana-3828	12	16	and	and	CCONJ
cana-3828	12	17	recovering	recover	VERB
cana-3828	12	18	from	from	ADP
cana-3828	12	19	ransomware	ransomware	NOUN
cana-3828	12	20	attacks	attack	NOUN
cana-3828	12	21	.	.	PUNCT
cana-3828	13	1	in	in	ADP
cana-3828	13	2	conclusion	conclusion	NOUN
cana-3828	13	3	,	,	PUNCT
cana-3828	13	4	this	this	DET
cana-3828	13	5	research	research	NOUN
cana-3828	13	6	highlights	highlight	VERB
cana-3828	13	7	unanswered	unanswered	ADJ
cana-3828	13	8	concerns	concern	NOUN
cana-3828	13	9	and	and	CCONJ
cana-3828	13	10	potential	potential	ADJ
cana-3828	13	11	research	research	NOUN
cana-3828	13	12	challenges	challenge	NOUN
cana-3828	13	13	in	in	ADP
cana-3828	13	14	ransomware	ransomware	NOUN
cana-3828	13	15	detection	detection	NOUN
cana-3828	13	16	.	.	PUNCT
cana-3828	14	1	keywords	keyword	NOUN
cana-3828	14	2	:	:	PUNCT
cana-3828	14	3	cyberattack	cyberattack	NOUN
cana-3828	14	4	,	,	PUNCT
cana-3828	14	5	ransomware	ransomware	NOUN
cana-3828	14	6	,	,	PUNCT
cana-3828	14	7	machine	machine	NOUN
cana-3828	14	8	learning	learning	NOUN
cana-3828	14	9	.	.	PUNCT
cana-3828	15	1	1	1	X
cana-3828	15	2	.	.	X
cana-3828	15	3	introduction	introduction	NOUN
cana-3828	15	4	current	current	ADJ
cana-3828	15	5	ransomware	ransomware	NOUN
cana-3828	15	6	detection	detection	NOUN
cana-3828	15	7	methods	method	NOUN
cana-3828	15	8	relying	rely	VERB
cana-3828	15	9	on	on	ADP
cana-3828	15	10	predefined	predefine	VERB
cana-3828	15	11	signatures	signature	NOUN
cana-3828	15	12	are	be	AUX
cana-3828	15	13	inadequate	inadequate	ADJ
cana-3828	15	14	against	against	ADP
cana-3828	15	15	evolving	evolve	VERB
cana-3828	15	16	ransomware	ransomware	NOUN
cana-3828	15	17	variants	variant	NOUN
cana-3828	15	18	,	,	PUNCT
cana-3828	15	19	creating	create	VERB
cana-3828	15	20	a	a	DET
cana-3828	15	21	need	need	NOUN
cana-3828	15	22	for	for	ADP
cana-3828	15	23	advanced	advanced	ADJ
cana-3828	15	24	,	,	PUNCT
cana-3828	15	25	real	real	ADJ
cana-3828	15	26	-	-	PUNCT
cana-3828	15	27	time	time	NOUN
cana-3828	15	28	detection	detection	NOUN
cana-3828	15	29	techniques	technique	NOUN
cana-3828	15	30	capable	capable	ADJ
cana-3828	15	31	of	of	ADP
cana-3828	15	32	identifying	identify	VERB
cana-3828	15	33	both	both	CCONJ
cana-3828	15	34	known	known	ADJ
cana-3828	15	35	and	and	CCONJ
cana-3828	15	36	unknown	unknown	ADJ
cana-3828	15	37	threats	threat	NOUN
cana-3828	15	38	.	.	PUNCT
cana-3828	16	1	ransomware	ransomware	NOUN
cana-3828	16	2	attacks	attack	NOUN
cana-3828	16	3	have	have	AUX
cana-3828	16	4	escalated	escalate	VERB
cana-3828	16	5	into	into	ADP
cana-3828	16	6	one	one	NUM
cana-3828	16	7	of	of	ADP
cana-3828	16	8	the	the	DET
cana-3828	16	9	most	most	ADV
cana-3828	16	10	pervasive	pervasive	ADJ
cana-3828	16	11	and	and	CCONJ
cana-3828	16	12	damaging	damaging	ADJ
cana-3828	16	13	cyber	cyber	NOUN
cana-3828	16	14	threats	threat	NOUN
cana-3828	16	15	worldwide	worldwide	ADV
cana-3828	16	16	,	,	PUNCT
cana-3828	16	17	targeting	target	VERB
cana-3828	16	18	individuals	individual	NOUN
cana-3828	16	19	,	,	PUNCT
cana-3828	16	20	businesses	business	NOUN
cana-3828	16	21	,	,	PUNCT
cana-3828	16	22	and	and	CCONJ
cana-3828	16	23	even	even	ADV
cana-3828	16	24	critical	critical	ADJ
cana-3828	16	25	infrastructure	infrastructure	NOUN
cana-3828	16	26	.	.	PUNCT
cana-3828	17	1	traditional	traditional	ADJ
cana-3828	17	2	signaturebased	signaturebase	VERB
cana-3828	17	3	detection	detection	NOUN
cana-3828	17	4	methods	method	NOUN
cana-3828	17	5	are	be	AUX
cana-3828	17	6	insufficient	insufficient	ADJ
cana-3828	17	7	to	to	PART
cana-3828	17	8	combat	combat	VERB
cana-3828	17	9	the	the	DET
cana-3828	17	10	rapidly	rapidly	ADV
cana-3828	17	11	evolving	evolve	VERB
cana-3828	17	12	nature	nature	NOUN
cana-3828	17	13	of	of	ADP
cana-3828	17	14	ransomware	ransomware	NOUN
cana-3828	17	15	,	,	PUNCT
cana-3828	17	16	particularly	particularly	ADV
cana-3828	17	17	with	with	ADP
cana-3828	17	18	the	the	DET
cana-3828	17	19	emergence	emergence	NOUN
cana-3828	17	20	of	of	ADP
cana-3828	17	21	polymorphic	polymorphic	ADJ
cana-3828	17	22	and	and	CCONJ
cana-3828	17	23	zero	zero	NUM
cana-3828	17	24	-	-	PUNCT
cana-3828	17	25	day	day	NOUN
cana-3828	17	26	ransomware	ransomware	NOUN
cana-3828	17	27	variants	variant	NOUN
cana-3828	17	28	.	.	PUNCT
cana-3828	18	1	these	these	DET
cana-3828	18	2	conventional	conventional	ADJ
cana-3828	18	3	approaches	approach	NOUN
cana-3828	18	4	fail	fail	VERB
cana-3828	18	5	to	to	PART
cana-3828	18	6	detect	detect	VERB
cana-3828	18	7	new	new	ADJ
cana-3828	18	8	strains	strain	NOUN
cana-3828	18	9	,	,	PUNCT
cana-3828	18	10	leaving	leave	VERB
cana-3828	18	11	systems	system	NOUN
cana-3828	18	12	vulnerable	vulnerable	ADJ
cana-3828	18	13	to	to	ADP
cana-3828	18	14	attack	attack	NOUN
cana-3828	18	15	.	.	PUNCT
cana-3828	19	1	the	the	DET
cana-3828	19	2	challenge	challenge	NOUN
cana-3828	19	3	lies	lie	VERB
cana-3828	19	4	in	in	ADP
cana-3828	19	5	developing	develop	VERB
cana-3828	19	6	more	more	ADV
cana-3828	19	7	advanced	advanced	ADJ
cana-3828	19	8	detection	detection	NOUN
cana-3828	19	9	techniques	technique	NOUN
cana-3828	19	10	that	that	PRON
cana-3828	19	11	can	can	AUX
cana-3828	19	12	identify	identify	VERB
cana-3828	19	13	both	both	CCONJ
cana-3828	19	14	known	known	ADJ
cana-3828	19	15	and	and	CCONJ
cana-3828	19	16	unknown	unknown	ADJ
cana-3828	19	17	ransomware	ransomware	NOUN
cana-3828	19	18	variants	variant	NOUN
cana-3828	19	19	in	in	ADP
cana-3828	19	20	real	real	ADJ
cana-3828	19	21	-	-	PUNCT
cana-3828	19	22	time	time	NOUN
cana-3828	19	23	,	,	PUNCT
cana-3828	19	24	without	without	ADP
cana-3828	19	25	relying	rely	VERB
cana-3828	19	26	on	on	ADP
cana-3828	19	27	predefined	predefine	VERB
cana-3828	19	28	signatures	signature	NOUN
cana-3828	19	29	.	.	PUNCT
cana-3828	20	1	machine	machine	NOUN
cana-3828	20	2	learning	learning	NOUN
cana-3828	20	3	has	have	AUX
cana-3828	20	4	emerged	emerge	VERB
cana-3828	20	5	as	as	ADP
cana-3828	20	6	a	a	DET
cana-3828	20	7	promising	promising	ADJ
cana-3828	20	8	solution	solution	NOUN
cana-3828	20	9	for	for	ADP
cana-3828	20	10	ransomware	ransomware	NOUN
cana-3828	20	11	detection	detection	NOUN
cana-3828	20	12	,	,	PUNCT
cana-3828	20	13	as	as	SCONJ
cana-3828	20	14	it	it	PRON
cana-3828	20	15	can	can	AUX
cana-3828	20	16	learn	learn	VERB
cana-3828	20	17	from	from	ADP
cana-3828	20	18	data	datum	NOUN
cana-3828	20	19	and	and	CCONJ
cana-3828	20	20	detect	detect	VERB
cana-3828	20	21	previously	previously	ADV
cana-3828	20	22	unseen	unseen	ADJ
cana-3828	20	23	patterns	pattern	NOUN
cana-3828	20	24	.	.	PUNCT
cana-3828	21	1	scareware	scareware	NOUN
cana-3828	21	2	manipulates	manipulate	VERB
cana-3828	21	3	its	its	PRON
cana-3828	21	4	victims	victim	NOUN
cana-3828	21	5	by	by	ADP
cana-3828	21	6	tricking	trick	VERB
cana-3828	21	7	them	they	PRON
cana-3828	21	8	into	into	ADP
cana-3828	21	9	believing	believe	VERB
cana-3828	21	10	that	that	SCONJ
cana-3828	21	11	their	their	PRON
cana-3828	21	12	systems	system	NOUN
cana-3828	21	13	have	have	AUX
cana-3828	21	14	been	be	AUX
cana-3828	21	15	compromised	compromise	VERB
cana-3828	21	16	and	and	CCONJ
cana-3828	21	17	offering	offer	VERB
cana-3828	21	18	a	a	DET
cana-3828	21	19	fake	fake	ADJ
cana-3828	21	20	solution	solution	NOUN
cana-3828	21	21	in	in	ADP
cana-3828	21	22	the	the	DET
cana-3828	21	23	form	form	NOUN
cana-3828	21	24	of	of	ADP
cana-3828	21	25	antivirus	antivirus	NOUN
cana-3828	21	26	software	software	NOUN
cana-3828	21	27	,	,	PUNCT
cana-3828	21	28	which	which	PRON
cana-3828	21	29	is	be	AUX
cana-3828	21	30	controlled	control	VERB
cana-3828	21	31	by	by	ADP
cana-3828	21	32	the	the	DET
cana-3828	21	33	attacker	attacker	NOUN
cana-3828	21	34	.	.	PUNCT
cana-3828	22	1	many	many	ADJ
cana-3828	22	2	unsuspecting	unsuspecting	ADJ
cana-3828	22	3	users	user	NOUN
cana-3828	22	4	fall	fall	VERB
cana-3828	22	5	prey	prey	NOUN
cana-3828	22	6	to	to	ADP
cana-3828	22	7	this	this	DET
cana-3828	22	8	tactic	tactic	NOUN
cana-3828	22	9	and	and	CCONJ
cana-3828	22	10	purchase	purchase	VERB
cana-3828	22	11	the	the	DET
cana-3828	22	12	fraudulent	fraudulent	ADJ
cana-3828	22	13	antivirus	antivirus	NOUN
cana-3828	22	14	software	software	NOUN
cana-3828	22	15	communications	communication	NOUN
cana-3828	22	16	on	on	ADP
cana-3828	22	17	applied	apply	VERB
cana-3828	22	18	nonlinear	nonlinear	ADJ
cana-3828	22	19	analysis	analysis	NOUN
cana-3828	22	20	issn	issn	NOUN
cana-3828	22	21	:	:	PUNCT
cana-3828	22	22	1074	1074	NUM
cana-3828	22	23	-	-	PUNCT
cana-3828	22	24	133x	133x	NUM
cana-3828	22	25	vol	vol	NOUN
cana-3828	22	26	32	32	NUM
cana-3828	22	27	no	no	NOUN
cana-3828	22	28	.	.	PUNCT
cana-3828	23	1	8s	8s	PROPN
cana-3828	23	2	(	(	PUNCT
cana-3828	23	3	2025	2025	NUM
cana-3828	23	4	)	)	PUNCT
cana-3828	23	5	870	870	NUM
cana-3828	23	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	23	7	due	due	ADP
cana-3828	23	8	to	to	ADP
cana-3828	23	9	the	the	DET
cana-3828	23	10	frequent	frequent	ADJ
cana-3828	23	11	appearance	appearance	NOUN
cana-3828	23	12	of	of	ADP
cana-3828	23	13	scareware	scareware	NOUN
cana-3828	23	14	warnings	warning	NOUN
cana-3828	23	15	[	[	X
cana-3828	23	16	5	5	NUM
cana-3828	23	17	]	]	PUNCT
cana-3828	23	18	.	.	PUNCT
cana-3828	24	1	human	human	NOUN
cana-3828	24	2	-	-	PUNCT
cana-3828	24	3	operated	operate	VERB
cana-3828	24	4	malware	malware	NOUN
cana-3828	24	5	and	and	CCONJ
cana-3828	24	6	fileless	fileless	PROPN
cana-3828	24	7	ransomware	ransomware	NOUN
cana-3828	24	8	are	be	AUX
cana-3828	24	9	different	different	ADJ
cana-3828	24	10	from	from	ADP
cana-3828	24	11	traditional	traditional	ADJ
cana-3828	24	12	ransomware	ransomware	NOUN
cana-3828	24	13	.	.	PUNCT
cana-3828	25	1	cybercriminals	cybercriminal	NOUN
cana-3828	25	2	use	use	VERB
cana-3828	25	3	human	human	NOUN
cana-3828	25	4	-	-	PUNCT
cana-3828	25	5	operated	operate	VERB
cana-3828	25	6	ransomware	ransomware	NOUN
cana-3828	25	7	to	to	PART
cana-3828	25	8	infiltrate	infiltrate	VERB
cana-3828	25	9	networks	network	NOUN
cana-3828	25	10	or	or	CCONJ
cana-3828	25	11	cloud	cloud	NOUN
cana-3828	25	12	systems	system	NOUN
cana-3828	25	13	,	,	PUNCT
cana-3828	25	14	escalate	escalate	VERB
cana-3828	25	15	privileges	privilege	NOUN
cana-3828	25	16	,	,	PUNCT
cana-3828	25	17	and	and	CCONJ
cana-3828	25	18	launch	launch	NOUN
cana-3828	25	19	attacks	attack	NOUN
cana-3828	25	20	on	on	ADP
cana-3828	25	21	sensitive	sensitive	ADJ
cana-3828	25	22	data	datum	NOUN
cana-3828	25	23	.	.	PUNCT
cana-3828	26	1	instead	instead	ADV
cana-3828	26	2	of	of	ADP
cana-3828	26	3	attacking	attack	VERB
cana-3828	26	4	a	a	DET
cana-3828	26	5	single	single	ADJ
cana-3828	26	6	machine	machine	NOUN
cana-3828	26	7	,	,	PUNCT
cana-3828	26	8	these	these	DET
cana-3828	26	9	attacks	attack	NOUN
cana-3828	26	10	target	target	VERB
cana-3828	26	11	entire	entire	ADJ
cana-3828	26	12	organizations	organization	NOUN
cana-3828	26	13	.	.	PUNCT
cana-3828	27	1	the	the	DET
cana-3828	27	2	attackers	attacker	NOUN
cana-3828	27	3	typically	typically	ADV
cana-3828	27	4	gain	gain	VERB
cana-3828	27	5	access	access	NOUN
cana-3828	27	6	to	to	ADP
cana-3828	27	7	an	an	DET
cana-3828	27	8	organization	organization	NOUN
cana-3828	27	9	’s	’s	PART
cana-3828	27	10	it	it	PRON
cana-3828	27	11	infrastructure	infrastructure	NOUN
cana-3828	27	12	,	,	PUNCT
cana-3828	27	13	move	move	VERB
cana-3828	27	14	laterally	laterally	ADV
cana-3828	27	15	through	through	ADP
cana-3828	27	16	systems	system	NOUN
cana-3828	27	17	,	,	PUNCT
cana-3828	27	18	and	and	CCONJ
cana-3828	27	19	exploit	exploit	NOUN
cana-3828	27	20	vulnerabilities	vulnerability	NOUN
cana-3828	27	21	caused	cause	VERB
cana-3828	27	22	by	by	ADP
cana-3828	27	23	poor	poor	ADJ
cana-3828	27	24	security	security	NOUN
cana-3828	27	25	settings	setting	NOUN
cana-3828	27	26	.	.	PUNCT
cana-3828	28	1	ultimately	ultimately	ADV
cana-3828	28	2	,	,	PUNCT
cana-3828	28	3	unauthorized	unauthorized	ADJ
cana-3828	28	4	access	access	NOUN
cana-3828	28	5	to	to	ADP
cana-3828	28	6	privileged	privileged	ADJ
cana-3828	28	7	accounts	account	NOUN
cana-3828	28	8	leads	lead	VERB
cana-3828	28	9	to	to	ADP
cana-3828	28	10	ransomware	ransomware	NOUN
cana-3828	28	11	attacks	attack	NOUN
cana-3828	28	12	on	on	ADP
cana-3828	28	13	critical	critical	ADJ
cana-3828	28	14	it	it	PRON
cana-3828	28	15	systems	system	NOUN
cana-3828	28	16	,	,	PUNCT
cana-3828	28	17	which	which	PRON
cana-3828	28	18	support	support	VERB
cana-3828	28	19	essential	essential	ADJ
cana-3828	28	20	business	business	NOUN
cana-3828	28	21	functions	function	NOUN
cana-3828	28	22	[	[	X
cana-3828	28	23	3,4	3,4	NUM
cana-3828	28	24	]	]	PUNCT
cana-3828	28	25	.	.	PUNCT
cana-3828	29	1	figure	figure	NOUN
cana-3828	29	2	4	4	NUM
cana-3828	29	3	shows	show	VERB
cana-3828	29	4	a	a	DET
cana-3828	29	5	visual	visual	ADJ
cana-3828	29	6	depiction	depiction	NOUN
cana-3828	29	7	of	of	ADP
cana-3828	29	8	scareware	scareware	NOUN
cana-3828	29	9	,	,	PUNCT
cana-3828	29	10	a	a	DET
cana-3828	29	11	type	type	NOUN
cana-3828	29	12	of	of	ADP
cana-3828	29	13	malware	malware	NOUN
cana-3828	29	14	that	that	PRON
cana-3828	29	15	is	be	AUX
cana-3828	29	16	becoming	become	VERB
cana-3828	29	17	increasingly	increasingly	ADV
cana-3828	29	18	common	common	ADJ
cana-3828	29	19	in	in	ADP
cana-3828	29	20	cyberattacks	cyberattack	NOUN
cana-3828	29	21	[	[	X
cana-3828	29	22	4	4	NUM
cana-3828	29	23	]	]	PUNCT
cana-3828	29	24	.	.	PUNCT
cana-3828	30	1	file	file	VERB
cana-3828	30	2	less	less	ADJ
cana-3828	30	3	ransomware	ransomware	NOUN
cana-3828	30	4	,	,	PUNCT
cana-3828	30	5	on	on	ADP
cana-3828	30	6	the	the	DET
cana-3828	30	7	other	other	ADJ
cana-3828	30	8	hand	hand	NOUN
cana-3828	30	9	,	,	PUNCT
cana-3828	30	10	uses	use	VERB
cana-3828	30	11	legitimate	legitimate	ADJ
cana-3828	30	12	,	,	PUNCT
cana-3828	30	13	built	build	VERB
cana-3828	30	14	-	-	PUNCT
cana-3828	30	15	in	in	ADP
cana-3828	30	16	system	system	NOUN
cana-3828	30	17	tools	tool	NOUN
cana-3828	30	18	to	to	PART
cana-3828	30	19	launch	launch	VERB
cana-3828	30	20	its	its	PRON
cana-3828	30	21	attack	attack	NOUN
cana-3828	30	22	.	.	PUNCT
cana-3828	31	1	this	this	DET
cana-3828	31	2	type	type	NOUN
cana-3828	31	3	of	of	ADP
cana-3828	31	4	ransomware	ransomware	NOUN
cana-3828	31	5	is	be	AUX
cana-3828	31	6	harder	hard	ADJ
cana-3828	31	7	to	to	PART
cana-3828	31	8	detect	detect	VERB
cana-3828	31	9	because	because	SCONJ
cana-3828	31	10	no	no	DET
cana-3828	31	11	malicious	malicious	ADJ
cana-3828	31	12	code	code	NOUN
cana-3828	31	13	is	be	AUX
cana-3828	31	14	installed	instal	VERB
cana-3828	31	15	on	on	ADP
cana-3828	31	16	the	the	DET
cana-3828	31	17	victim	victim	NOUN
cana-3828	31	18	’s	’s	PART
cana-3828	31	19	machine	machine	NOUN
cana-3828	31	20	.	.	PUNCT
cana-3828	32	1	as	as	ADP
cana-3828	32	2	a	a	DET
cana-3828	32	3	result	result	NOUN
cana-3828	32	4	,	,	PUNCT
cana-3828	32	5	anti	anti	ADJ
cana-3828	32	6	-	-	ADJ
cana-3828	32	7	ransomware	ransomware	ADJ
cana-3828	32	8	software	software	NOUN
cana-3828	32	9	can	can	AUX
cana-3828	32	10	not	not	PART
cana-3828	32	11	trace	trace	VERB
cana-3828	32	12	suspicious	suspicious	ADJ
cana-3828	32	13	files	file	NOUN
cana-3828	32	14	during	during	ADP
cana-3828	32	15	the	the	DET
cana-3828	32	16	attack	attack	NOUN
cana-3828	32	17	.	.	PUNCT
cana-3828	33	1	depending	depend	VERB
cana-3828	33	2	on	on	ADP
cana-3828	33	3	the	the	DET
cana-3828	33	4	attacker	attacker	NOUN
cana-3828	33	5	’s	’s	PART
cana-3828	33	6	goals	goal	NOUN
cana-3828	33	7	,	,	PUNCT
cana-3828	33	8	both	both	DET
cana-3828	33	9	file	file	NOUN
cana-3828	33	10	-	-	PUNCT
cana-3828	33	11	based	base	VERB
cana-3828	33	12	and	and	CCONJ
cana-3828	33	13	human	human	NOUN
cana-3828	33	14	-	-	PUNCT
cana-3828	33	15	operated	operate	VERB
cana-3828	33	16	ransomware	ransomware	NOUN
cana-3828	33	17	can	can	AUX
cana-3828	33	18	encrypt	encrypt	VERB
cana-3828	33	19	,	,	PUNCT
cana-3828	33	20	lock	lock	NOUN
cana-3828	33	21	,	,	PUNCT
cana-3828	33	22	or	or	CCONJ
cana-3828	33	23	exfiltrate	exfiltrate	VERB
cana-3828	33	24	data	datum	NOUN
cana-3828	33	25	from	from	ADP
cana-3828	33	26	systems	system	NOUN
cana-3828	33	27	[	[	X
cana-3828	33	28	2	2	NUM
cana-3828	33	29	]	]	PUNCT
cana-3828	33	30	.	.	PUNCT
cana-3828	34	1	ransomware	ransomware	NOUN
cana-3828	34	2	presents	present	VERB
cana-3828	34	3	a	a	DET
cana-3828	34	4	significant	significant	ADJ
cana-3828	34	5	risk	risk	NOUN
cana-3828	34	6	to	to	ADP
cana-3828	34	7	an	an	DET
cana-3828	34	8	organization	organization	NOUN
cana-3828	34	9	’s	’s	PART
cana-3828	34	10	data	datum	NOUN
cana-3828	34	11	and	and	CCONJ
cana-3828	34	12	systems	system	NOUN
cana-3828	34	13	.	.	PUNCT
cana-3828	35	1	infected	infect	VERB
cana-3828	35	2	files	file	NOUN
cana-3828	35	3	or	or	CCONJ
cana-3828	35	4	compromised	compromise	VERB
cana-3828	35	5	devices	device	NOUN
cana-3828	35	6	are	be	AUX
cana-3828	35	7	rendered	render	VERB
cana-3828	35	8	inaccessible	inaccessible	ADJ
cana-3828	35	9	until	until	SCONJ
cana-3828	35	10	a	a	DET
cana-3828	35	11	ransom	ransom	NOUN
cana-3828	35	12	—	—	PUNCT
cana-3828	35	13	usually	usually	ADV
cana-3828	35	14	paid	pay	VERB
cana-3828	35	15	in	in	ADP
cana-3828	35	16	bitcoin	bitcoin	NOUN
cana-3828	35	17	—	—	PUNCT
cana-3828	35	18	is	be	AUX
cana-3828	35	19	received	receive	VERB
cana-3828	35	20	.	.	PUNCT
cana-3828	36	1	in	in	ADP
cana-3828	36	2	many	many	ADJ
cana-3828	36	3	cases	case	NOUN
cana-3828	36	4	,	,	PUNCT
cana-3828	36	5	even	even	ADV
cana-3828	36	6	after	after	ADP
cana-3828	36	7	payment	payment	NOUN
cana-3828	36	8	,	,	PUNCT
cana-3828	36	9	the	the	DET
cana-3828	36	10	attackers	attacker	NOUN
cana-3828	36	11	withhold	withhold	VERB
cana-3828	36	12	the	the	DET
cana-3828	36	13	decryption	decryption	NOUN
cana-3828	36	14	key	key	NOUN
cana-3828	36	15	.	.	PUNCT
cana-3828	37	1	some	some	DET
cana-3828	37	2	victims	victim	NOUN
cana-3828	37	3	attempt	attempt	VERB
cana-3828	37	4	to	to	PART
cana-3828	37	5	use	use	VERB
cana-3828	37	6	the	the	DET
cana-3828	37	7	attacker	attacker	NOUN
cana-3828	37	8	-	-	PUNCT
cana-3828	37	9	provided	provide	VERB
cana-3828	37	10	key	key	NOUN
cana-3828	37	11	to	to	PART
cana-3828	37	12	decrypt	decrypt	VERB
cana-3828	37	13	their	their	PRON
cana-3828	37	14	files	file	NOUN
cana-3828	37	15	,	,	PUNCT
cana-3828	37	16	which	which	PRON
cana-3828	37	17	can	can	AUX
cana-3828	37	18	further	far	ADV
cana-3828	37	19	corrupt	corrupt	VERB
cana-3828	37	20	the	the	DET
cana-3828	37	21	data	datum	NOUN
cana-3828	37	22	on	on	ADP
cana-3828	37	23	the	the	DET
cana-3828	37	24	system	system	NOUN
cana-3828	37	25	[	[	X
cana-3828	37	26	2,3	2,3	NUM
cana-3828	37	27	]	]	PUNCT
cana-3828	37	28	.	.	PUNCT
cana-3828	38	1	however	however	ADV
cana-3828	38	2	,	,	PUNCT
cana-3828	38	3	the	the	DET
cana-3828	38	4	effectiveness	effectiveness	NOUN
cana-3828	38	5	of	of	ADP
cana-3828	38	6	different	different	ADJ
cana-3828	38	7	machine	machine	NOUN
cana-3828	38	8	learning	learning	NOUN
cana-3828	38	9	models	model	NOUN
cana-3828	38	10	in	in	ADP
cana-3828	38	11	identifying	identify	VERB
cana-3828	38	12	ransomware	ransomware	NOUN
cana-3828	38	13	attacks	attack	NOUN
cana-3828	38	14	varies	vary	VERB
cana-3828	38	15	,	,	PUNCT
cana-3828	38	16	and	and	CCONJ
cana-3828	38	17	there	there	PRON
cana-3828	38	18	is	be	VERB
cana-3828	38	19	a	a	DET
cana-3828	38	20	need	need	NOUN
cana-3828	38	21	for	for	SCONJ
cana-3828	38	22	comprehensive	comprehensive	ADJ
cana-3828	38	23	research	research	NOUN
cana-3828	38	24	to	to	PART
cana-3828	38	25	evaluate	evaluate	VERB
cana-3828	38	26	and	and	CCONJ
cana-3828	38	27	compare	compare	VERB
cana-3828	38	28	the	the	DET
cana-3828	38	29	performance	performance	NOUN
cana-3828	38	30	of	of	ADP
cana-3828	38	31	these	these	DET
cana-3828	38	32	models	model	NOUN
cana-3828	38	33	.	.	PUNCT
cana-3828	39	1	this	this	DET
cana-3828	39	2	research	research	NOUN
cana-3828	39	3	paper	paper	NOUN
cana-3828	39	4	addresses	address	NOUN
cana-3828	39	5	this	this	DET
cana-3828	39	6	gap	gap	NOUN
cana-3828	39	7	by	by	ADP
cana-3828	39	8	exploring	explore	VERB
cana-3828	39	9	the	the	DET
cana-3828	39	10	effectiveness	effectiveness	NOUN
cana-3828	39	11	of	of	ADP
cana-3828	39	12	three	three	NUM
cana-3828	39	13	machine	machine	NOUN
cana-3828	39	14	learning	learning	NOUN
cana-3828	39	15	models	model	NOUN
cana-3828	39	16	—	—	PUNCT
cana-3828	39	17	random	random	ADJ
cana-3828	39	18	forest	forest	NOUN
cana-3828	39	19	,	,	PUNCT
cana-3828	39	20	gradient	gradient	ADJ
cana-3828	39	21	boosting	boost	VERB
cana-3828	39	22	machines	machine	NOUN
cana-3828	39	23	(	(	PUNCT
cana-3828	39	24	gbm	gbm	NOUN
cana-3828	39	25	)	)	PUNCT
cana-3828	39	26	,	,	PUNCT
cana-3828	39	27	and	and	CCONJ
cana-3828	39	28	logistic	logistic	ADJ
cana-3828	39	29	regression	regression	NOUN
cana-3828	39	30	—	—	PUNCT
cana-3828	39	31	in	in	ADP
cana-3828	39	32	detecting	detect	VERB
cana-3828	39	33	ransomware	ransomware	NOUN
cana-3828	39	34	attacks	attack	NOUN
cana-3828	39	35	.	.	PUNCT
cana-3828	40	1	the	the	DET
cana-3828	40	2	study	study	NOUN
cana-3828	40	3	aims	aim	VERB
cana-3828	40	4	to	to	PART
cana-3828	40	5	compare	compare	VERB
cana-3828	40	6	these	these	DET
cana-3828	40	7	models	model	NOUN
cana-3828	40	8	in	in	ADP
cana-3828	40	9	terms	term	NOUN
cana-3828	40	10	of	of	ADP
cana-3828	40	11	accuracy	accuracy	NOUN
cana-3828	40	12	,	,	PUNCT
cana-3828	40	13	precision	precision	NOUN
cana-3828	40	14	,	,	PUNCT
cana-3828	40	15	recall	recall	NOUN
cana-3828	40	16	,	,	PUNCT
cana-3828	40	17	and	and	CCONJ
cana-3828	40	18	their	their	PRON
cana-3828	40	19	ability	ability	NOUN
cana-3828	40	20	to	to	PART
cana-3828	40	21	generalize	generalize	VERB
cana-3828	40	22	and	and	CCONJ
cana-3828	40	23	logistic	logistic	ADJ
cana-3828	40	24	regression	regression	NOUN
cana-3828	40	25	—	—	PUNCT
cana-3828	40	26	in	in	ADP
cana-3828	40	27	detecting	detect	VERB
cana-3828	40	28	ransomware	ransomware	NOUN
cana-3828	40	29	attacks	attack	NOUN
cana-3828	40	30	.	.	PUNCT
cana-3828	41	1	the	the	DET
cana-3828	41	2	study	study	NOUN
cana-3828	41	3	aims	aim	VERB
cana-3828	41	4	to	to	PART
cana-3828	41	5	compare	compare	VERB
cana-3828	41	6	these	these	DET
cana-3828	41	7	models	model	NOUN
cana-3828	41	8	in	in	ADP
cana-3828	41	9	terms	term	NOUN
cana-3828	41	10	of	of	ADP
cana-3828	41	11	accuracy	accuracy	NOUN
cana-3828	41	12	,	,	PUNCT
cana-3828	41	13	precision	precision	NOUN
cana-3828	41	14	,	,	PUNCT
cana-3828	41	15	recall	recall	NOUN
cana-3828	41	16	,	,	PUNCT
cana-3828	41	17	and	and	CCONJ
cana-3828	41	18	their	their	PRON
cana-3828	41	19	ability	ability	NOUN
cana-3828	41	20	to	to	PART
cana-3828	41	21	generalize	generalize	VERB
cana-3828	41	22	to	to	ADP
cana-3828	41	23	new	new	ADJ
cana-3828	41	24	ransomware	ransomware	NOUN
cana-3828	41	25	variants	variant	NOUN
cana-3828	41	26	.	.	PUNCT
cana-3828	42	1	the	the	DET
cana-3828	42	2	research	research	NOUN
cana-3828	42	3	will	will	AUX
cana-3828	42	4	provide	provide	VERB
cana-3828	42	5	insights	insight	NOUN
cana-3828	42	6	into	into	ADP
cana-3828	42	7	the	the	DET
cana-3828	42	8	strengths	strength	NOUN
cana-3828	42	9	and	and	CCONJ
cana-3828	42	10	weaknesses	weakness	NOUN
cana-3828	42	11	of	of	ADP
cana-3828	42	12	each	each	DET
cana-3828	42	13	model	model	NOUN
cana-3828	42	14	,	,	PUNCT
cana-3828	42	15	contributing	contribute	VERB
cana-3828	42	16	to	to	ADP
cana-3828	42	17	the	the	DET
cana-3828	42	18	development	development	NOUN
cana-3828	42	19	of	of	ADP
cana-3828	42	20	more	more	ADV
cana-3828	42	21	robust	robust	ADJ
cana-3828	42	22	and	and	CCONJ
cana-3828	42	23	efficient	efficient	ADJ
cana-3828	42	24	ransomware	ransomware	NOUN
cana-3828	42	25	detection	detection	NOUN
cana-3828	42	26	systems	system	NOUN
cana-3828	42	27	.	.	PUNCT
cana-3828	43	1	advances	advance	NOUN
cana-3828	43	2	in	in	ADP
cana-3828	43	3	technology	technology	NOUN
cana-3828	43	4	,	,	PUNCT
cana-3828	43	5	such	such	ADJ
cana-3828	43	6	as	as	ADP
cana-3828	43	7	ransomware	ransomware	NOUN
cana-3828	43	8	development	development	NOUN
cana-3828	43	9	kits	kit	NOUN
cana-3828	43	10	,	,	PUNCT
cana-3828	43	11	ransomware	ransomware	NOUN
cana-3828	43	12	-	-	PUNCT
cana-3828	43	13	as	as	ADP
cana-3828	43	14	-	-	PUNCT
cana-3828	43	15	a	a	DET
cana-3828	43	16	-	-	PUNCT
cana-3828	43	17	service	service	NOUN
cana-3828	43	18	,	,	PUNCT
cana-3828	43	19	and	and	CCONJ
cana-3828	43	20	cryptocurrencies	cryptocurrencie	NOUN
cana-3828	43	21	like	like	ADP
cana-3828	43	22	bitcoin	bitcoin	NOUN
cana-3828	43	23	,	,	PUNCT
cana-3828	43	24	have	have	AUX
cana-3828	43	25	fuelled	fuel	VERB
cana-3828	43	26	the	the	DET
cana-3828	43	27	continued	continue	VERB
cana-3828	43	28	increase	increase	NOUN
cana-3828	43	29	in	in	ADP
cana-3828	43	30	ransomware	ransomware	NOUN
cana-3828	43	31	attacks	attack	NOUN
cana-3828	43	32	on	on	ADP
cana-3828	43	33	personal	personal	ADJ
cana-3828	43	34	computers	computer	NOUN
cana-3828	43	35	,	,	PUNCT
cana-3828	43	36	networks	network	NOUN
cana-3828	43	37	,	,	PUNCT
cana-3828	43	38	and	and	CCONJ
cana-3828	43	39	mobile	mobile	NOUN
cana-3828	43	40	devices	device	NOUN
cana-3828	43	41	[	[	X
cana-3828	43	42	2	2	NUM
cana-3828	43	43	]	]	PUNCT
cana-3828	43	44	.	.	PUNCT
cana-3828	44	1	these	these	DET
cana-3828	44	2	ransomware	ransomware	NOUN
cana-3828	44	3	attacks	attack	NOUN
cana-3828	44	4	cost	cost	VERB
cana-3828	44	5	businesses	business	NOUN
cana-3828	44	6	and	and	CCONJ
cana-3828	44	7	individuals	individual	NOUN
cana-3828	44	8	hundreds	hundred	NOUN
cana-3828	44	9	of	of	ADP
cana-3828	44	10	millions	million	NOUN
cana-3828	44	11	of	of	ADP
cana-3828	44	12	dollars	dollar	NOUN
cana-3828	44	13	every	every	DET
cana-3828	44	14	year	year	NOUN
cana-3828	44	15	[	[	X
cana-3828	44	16	3	3	NUM
cana-3828	44	17	]	]	PUNCT
cana-3828	44	18	.	.	PUNCT
cana-3828	45	1	the	the	DET
cana-3828	45	2	profitability	profitability	NOUN
cana-3828	45	3	of	of	ADP
cana-3828	45	4	ransomware	ransomware	NOUN
cana-3828	45	5	for	for	ADP
cana-3828	45	6	cybercriminals	cybercriminal	NOUN
cana-3828	45	7	has	have	AUX
cana-3828	45	8	led	lead	VERB
cana-3828	45	9	to	to	ADP
cana-3828	45	10	the	the	DET
cana-3828	45	11	continual	continual	ADJ
cana-3828	45	12	creation	creation	NOUN
cana-3828	45	13	of	of	ADP
cana-3828	45	14	new	new	ADJ
cana-3828	45	15	malware	malware	NOUN
cana-3828	45	16	strains	strain	VERB
cana-3828	45	17	.	.	PUNCT
cana-3828	46	1	since	since	SCONJ
cana-3828	46	2	2013	2013	NUM
cana-3828	46	3	,	,	PUNCT
cana-3828	46	4	numerous	numerous	ADJ
cana-3828	46	5	variants	variant	NOUN
cana-3828	46	6	of	of	ADP
cana-3828	46	7	ransomware	ransomware	NOUN
cana-3828	46	8	have	have	AUX
cana-3828	46	9	emerged	emerge	VERB
cana-3828	46	10	.	.	PUNCT
cana-3828	47	1	therefore	therefore	ADV
cana-3828	47	2	,	,	PUNCT
cana-3828	47	3	more	more	ADV
cana-3828	47	4	advanced	advanced	ADJ
cana-3828	47	5	and	and	CCONJ
cana-3828	47	6	reliable	reliable	ADJ
cana-3828	47	7	techniques	technique	NOUN
cana-3828	47	8	are	be	AUX
cana-3828	47	9	required	require	VERB
cana-3828	47	10	to	to	PART
cana-3828	47	11	detect	detect	VERB
cana-3828	47	12	,	,	PUNCT
cana-3828	47	13	prevent	prevent	NOUN
cana-3828	47	14	,	,	PUNCT
cana-3828	47	15	and	and	CCONJ
cana-3828	47	16	counter	counter	VERB
cana-3828	47	17	these	these	DET
cana-3828	47	18	attacks	attack	NOUN
cana-3828	47	19	.	.	PUNCT
cana-3828	48	1	traditional	traditional	ADJ
cana-3828	48	2	antivirus	antivirus	NOUN
cana-3828	48	3	software	software	NOUN
cana-3828	48	4	and	and	CCONJ
cana-3828	48	5	intrusion	intrusion	NOUN
cana-3828	48	6	detection	detection	NOUN
cana-3828	48	7	systems	system	NOUN
cana-3828	48	8	are	be	AUX
cana-3828	48	9	often	often	ADV
cana-3828	48	10	ineffective	ineffective	ADJ
cana-3828	48	11	against	against	ADP
cana-3828	48	12	newer	new	ADJ
cana-3828	48	13	ransomware	ransomware	NOUN
cana-3828	48	14	strains	strain	VERB
cana-3828	48	15	.	.	PUNCT
cana-3828	49	1	individuals	individual	NOUN
cana-3828	49	2	and	and	CCONJ
cana-3828	49	3	organizations	organization	NOUN
cana-3828	49	4	suffer	suffer	VERB
cana-3828	49	5	significant	significant	ADJ
cana-3828	49	6	financial	financial	ADJ
cana-3828	49	7	damage	damage	NOUN
cana-3828	49	8	as	as	ADP
cana-3828	49	9	a	a	DET
cana-3828	49	10	result	result	NOUN
cana-3828	49	11	of	of	ADP
cana-3828	49	12	ransomware	ransomware	NOUN
cana-3828	49	13	attacks	attack	NOUN
cana-3828	49	14	.	.	PUNCT
cana-3828	50	1	the	the	DET
cana-3828	50	2	encryption	encryption	NOUN
cana-3828	50	3	of	of	ADP
cana-3828	50	4	files	file	NOUN
cana-3828	50	5	or	or	CCONJ
cana-3828	50	6	devices	device	NOUN
cana-3828	50	7	until	until	SCONJ
cana-3828	50	8	a	a	DET
cana-3828	50	9	ransom	ransom	NOUN
cana-3828	50	10	is	be	AUX
cana-3828	50	11	paid	pay	VERB
cana-3828	50	12	can	can	AUX
cana-3828	50	13	lead	lead	VERB
cana-3828	50	14	to	to	ADP
cana-3828	50	15	the	the	DET
cana-3828	50	16	irreversible	irreversible	ADJ
cana-3828	50	17	loss	loss	NOUN
cana-3828	50	18	of	of	ADP
cana-3828	50	19	valuable	valuable	ADJ
cana-3828	50	20	data	datum	NOUN
cana-3828	50	21	,	,	PUNCT
cana-3828	50	22	resulting	result	VERB
cana-3828	50	23	in	in	ADP
cana-3828	50	24	serious	serious	ADJ
cana-3828	50	25	consequences	consequence	NOUN
cana-3828	50	26	for	for	ADP
cana-3828	50	27	both	both	DET
cana-3828	50	28	individuals	individual	NOUN
cana-3828	50	29	and	and	CCONJ
cana-3828	50	30	companies	company	NOUN
cana-3828	50	31	.	.	PUNCT
cana-3828	51	1	even	even	ADV
cana-3828	51	2	after	after	SCONJ
cana-3828	51	3	the	the	DET
cana-3828	51	4	ransom	ransom	NOUN
cana-3828	51	5	is	be	AUX
cana-3828	51	6	paid	pay	VERB
cana-3828	51	7	,	,	PUNCT
cana-3828	51	8	the	the	DET
cana-3828	51	9	decryption	decryption	NOUN
cana-3828	51	10	key	key	NOUN
cana-3828	51	11	is	be	AUX
cana-3828	51	12	often	often	ADV
cana-3828	51	13	not	not	PART
cana-3828	51	14	provided	provide	VERB
cana-3828	51	15	,	,	PUNCT
cana-3828	51	16	causing	cause	VERB
cana-3828	51	17	additional	additional	ADJ
cana-3828	51	18	harm	harm	NOUN
cana-3828	51	19	to	to	ADP
cana-3828	51	20	the	the	DET
cana-3828	51	21	system	system	NOUN
cana-3828	51	22	’s	’s	PART
cana-3828	51	23	stored	store	VERB
cana-3828	51	24	files	file	NOUN
cana-3828	51	25	during	during	ADP
cana-3828	51	26	decryption	decryption	NOUN
cana-3828	51	27	attempts	attempt	NOUN
cana-3828	51	28	by	by	ADP
cana-3828	51	29	the	the	DET
cana-3828	51	30	attackers	attacker	NOUN
cana-3828	51	31	[	[	X
cana-3828	51	32	1,6	1,6	NUM
cana-3828	51	33	]	]	PUNCT
cana-3828	51	34	.	.	PUNCT
cana-3828	52	1	communications	communication	NOUN
cana-3828	52	2	on	on	ADP
cana-3828	52	3	applied	apply	VERB
cana-3828	52	4	nonlinear	nonlinear	ADJ
cana-3828	52	5	analysis	analysis	NOUN
cana-3828	52	6	issn	issn	NOUN
cana-3828	52	7	:	:	PUNCT
cana-3828	52	8	1074	1074	NUM
cana-3828	52	9	-	-	PUNCT
cana-3828	52	10	133x	133x	NUM
cana-3828	52	11	vol	vol	NOUN
cana-3828	52	12	32	32	NUM
cana-3828	52	13	no	no	NOUN
cana-3828	52	14	.	.	PUNCT
cana-3828	53	1	8s	8s	PROPN
cana-3828	53	2	(	(	PUNCT
cana-3828	53	3	2025	2025	NUM
cana-3828	53	4	)	)	PUNCT
cana-3828	53	5	871	871	NUM
cana-3828	54	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	54	2	advances	advance	VERB
cana-3828	54	3	in	in	ADP
cana-3828	54	4	technology	technology	NOUN
cana-3828	54	5	,	,	PUNCT
cana-3828	54	6	such	such	ADJ
cana-3828	54	7	as	as	ADP
cana-3828	54	8	ransomware	ransomware	NOUN
cana-3828	54	9	development	development	NOUN
cana-3828	54	10	kits	kit	NOUN
cana-3828	54	11	,	,	PUNCT
cana-3828	54	12	ransomware	ransomware	NOUN
cana-3828	54	13	-	-	PUNCT
cana-3828	54	14	as	as	ADP
cana-3828	54	15	-	-	PUNCT
cana-3828	54	16	a	a	DET
cana-3828	54	17	-	-	PUNCT
cana-3828	54	18	service	service	NOUN
cana-3828	54	19	,	,	PUNCT
cana-3828	54	20	and	and	CCONJ
cana-3828	54	21	cryptocurrencies	cryptocurrencie	NOUN
cana-3828	54	22	like	like	ADP
cana-3828	54	23	bitcoin	bitcoin	NOUN
cana-3828	54	24	,	,	PUNCT
cana-3828	54	25	have	have	AUX
cana-3828	54	26	fuelled	fuel	VERB
cana-3828	54	27	the	the	DET
cana-3828	54	28	continued	continue	VERB
cana-3828	54	29	increase	increase	NOUN
cana-3828	54	30	in	in	ADP
cana-3828	54	31	ransomware	ransomware	NOUN
cana-3828	54	32	attacks	attack	NOUN
cana-3828	54	33	on	on	ADP
cana-3828	54	34	personal	personal	ADJ
cana-3828	54	35	computers	computer	NOUN
cana-3828	54	36	,	,	PUNCT
cana-3828	54	37	networks	network	NOUN
cana-3828	54	38	,	,	PUNCT
cana-3828	54	39	and	and	CCONJ
cana-3828	54	40	mobile	mobile	NOUN
cana-3828	54	41	devices	device	NOUN
cana-3828	54	42	[	[	X
cana-3828	54	43	2	2	NUM
cana-3828	54	44	]	]	PUNCT
cana-3828	54	45	.	.	PUNCT
cana-3828	55	1	these	these	DET
cana-3828	55	2	ransomware	ransomware	NOUN
cana-3828	55	3	attacks	attack	NOUN
cana-3828	55	4	cost	cost	VERB
cana-3828	55	5	businesses	business	NOUN
cana-3828	55	6	and	and	CCONJ
cana-3828	55	7	individuals	individual	NOUN
cana-3828	55	8	hundreds	hundred	NOUN
cana-3828	55	9	of	of	ADP
cana-3828	55	10	millions	million	NOUN
cana-3828	55	11	of	of	ADP
cana-3828	55	12	dollars	dollar	NOUN
cana-3828	55	13	every	every	DET
cana-3828	55	14	year	year	NOUN
cana-3828	55	15	[	[	X
cana-3828	55	16	3	3	NUM
cana-3828	55	17	]	]	PUNCT
cana-3828	55	18	.	.	PUNCT
cana-3828	56	1	the	the	DET
cana-3828	56	2	profitability	profitability	NOUN
cana-3828	56	3	of	of	ADP
cana-3828	56	4	ransomware	ransomware	NOUN
cana-3828	56	5	for	for	ADP
cana-3828	56	6	cybercriminals	cybercriminal	NOUN
cana-3828	56	7	has	have	AUX
cana-3828	56	8	led	lead	VERB
cana-3828	56	9	to	to	ADP
cana-3828	56	10	the	the	DET
cana-3828	56	11	continual	continual	ADJ
cana-3828	56	12	creation	creation	NOUN
cana-3828	56	13	of	of	ADP
cana-3828	56	14	new	new	ADJ
cana-3828	56	15	malware	malware	NOUN
cana-3828	56	16	strains	strain	VERB
cana-3828	56	17	.	.	PUNCT
cana-3828	57	1	since	since	SCONJ
cana-3828	57	2	2013	2013	NUM
cana-3828	57	3	,	,	PUNCT
cana-3828	57	4	numerous	numerous	ADJ
cana-3828	57	5	variants	variant	NOUN
cana-3828	57	6	of	of	ADP
cana-3828	57	7	ransomware	ransomware	NOUN
cana-3828	57	8	have	have	AUX
cana-3828	57	9	emerged	emerge	VERB
cana-3828	57	10	.	.	PUNCT
cana-3828	58	1	therefore	therefore	ADV
cana-3828	58	2	,	,	PUNCT
cana-3828	58	3	more	more	ADV
cana-3828	58	4	advanced	advanced	ADJ
cana-3828	58	5	and	and	CCONJ
cana-3828	58	6	reliable	reliable	ADJ
cana-3828	58	7	techniques	technique	NOUN
cana-3828	58	8	are	be	AUX
cana-3828	58	9	required	require	VERB
cana-3828	58	10	to	to	PART
cana-3828	58	11	detect	detect	VERB
cana-3828	58	12	,	,	PUNCT
cana-3828	58	13	prevent	prevent	NOUN
cana-3828	58	14	,	,	PUNCT
cana-3828	58	15	and	and	CCONJ
cana-3828	58	16	counter	counter	VERB
cana-3828	58	17	these	these	DET
cana-3828	58	18	attacks	attack	NOUN
cana-3828	58	19	.	.	PUNCT
cana-3828	59	1	traditional	traditional	ADJ
cana-3828	59	2	antivirus	antivirus	NOUN
cana-3828	59	3	software	software	NOUN
cana-3828	59	4	and	and	CCONJ
cana-3828	59	5	intrusion	intrusion	NOUN
cana-3828	59	6	detection	detection	NOUN
cana-3828	59	7	systems	system	NOUN
cana-3828	59	8	are	be	AUX
cana-3828	59	9	often	often	ADV
cana-3828	59	10	ineffective	ineffective	ADJ
cana-3828	59	11	against	against	ADP
cana-3828	59	12	newer	new	ADJ
cana-3828	59	13	ransomware	ransomware	NOUN
cana-3828	59	14	strains	strain	VERB
cana-3828	59	15	.	.	PUNCT
cana-3828	60	1	individuals	individual	NOUN
cana-3828	60	2	and	and	CCONJ
cana-3828	60	3	organizations	organization	NOUN
cana-3828	60	4	suffer	suffer	VERB
cana-3828	60	5	significant	significant	ADJ
cana-3828	60	6	financial	financial	ADJ
cana-3828	60	7	damage	damage	NOUN
cana-3828	60	8	as	as	ADP
cana-3828	60	9	a	a	DET
cana-3828	60	10	result	result	NOUN
cana-3828	60	11	of	of	ADP
cana-3828	60	12	ransomware	ransomware	NOUN
cana-3828	60	13	attacks	attack	NOUN
cana-3828	60	14	.	.	PUNCT
cana-3828	61	1	the	the	DET
cana-3828	61	2	encryption	encryption	NOUN
cana-3828	61	3	of	of	ADP
cana-3828	61	4	files	file	NOUN
cana-3828	61	5	or	or	CCONJ
cana-3828	61	6	devices	device	NOUN
cana-3828	61	7	until	until	SCONJ
cana-3828	61	8	a	a	DET
cana-3828	61	9	ransom	ransom	NOUN
cana-3828	61	10	is	be	AUX
cana-3828	61	11	paid	pay	VERB
cana-3828	61	12	can	can	AUX
cana-3828	61	13	lead	lead	VERB
cana-3828	61	14	to	to	ADP
cana-3828	61	15	the	the	DET
cana-3828	61	16	irreversible	irreversible	ADJ
cana-3828	61	17	loss	loss	NOUN
cana-3828	61	18	of	of	ADP
cana-3828	61	19	valuable	valuable	ADJ
cana-3828	61	20	data	datum	NOUN
cana-3828	61	21	,	,	PUNCT
cana-3828	61	22	resulting	result	VERB
cana-3828	61	23	in	in	ADP
cana-3828	61	24	serious	serious	ADJ
cana-3828	61	25	consequences	consequence	NOUN
cana-3828	61	26	for	for	ADP
cana-3828	61	27	both	both	DET
cana-3828	61	28	individuals	individual	NOUN
cana-3828	61	29	and	and	CCONJ
cana-3828	61	30	companies	company	NOUN
cana-3828	61	31	.	.	PUNCT
cana-3828	62	1	even	even	ADV
cana-3828	62	2	after	after	SCONJ
cana-3828	62	3	the	the	DET
cana-3828	62	4	ransom	ransom	NOUN
cana-3828	62	5	is	be	AUX
cana-3828	62	6	paid	pay	VERB
cana-3828	62	7	,	,	PUNCT
cana-3828	62	8	the	the	DET
cana-3828	62	9	decryption	decryption	NOUN
cana-3828	62	10	key	key	NOUN
cana-3828	62	11	is	be	AUX
cana-3828	62	12	often	often	ADV
cana-3828	62	13	not	not	PART
cana-3828	62	14	provided	provide	VERB
cana-3828	62	15	,	,	PUNCT
cana-3828	62	16	causing	cause	VERB
cana-3828	62	17	additional	additional	ADJ
cana-3828	62	18	harm	harm	NOUN
cana-3828	62	19	to	to	ADP
cana-3828	62	20	the	the	DET
cana-3828	62	21	system	system	NOUN
cana-3828	62	22	’s	’s	PART
cana-3828	62	23	stored	store	VERB
cana-3828	62	24	files	file	NOUN
cana-3828	62	25	during	during	ADP
cana-3828	62	26	decryption	decryption	NOUN
cana-3828	62	27	attempts	attempt	NOUN
cana-3828	62	28	by	by	ADP
cana-3828	62	29	the	the	DET
cana-3828	62	30	attackers	attacker	NOUN
cana-3828	62	31	[	[	X
cana-3828	62	32	1,6	1,6	NUM
cana-3828	62	33	]	]	PUNCT
cana-3828	62	34	.	.	PUNCT
cana-3828	63	1	scareware	scareware	NOUN
cana-3828	63	2	preys	prey	NOUN
cana-3828	63	3	on	on	ADP
cana-3828	63	4	its	its	PRON
cana-3828	63	5	victims	victim	NOUN
cana-3828	63	6	by	by	ADP
cana-3828	63	7	informing	inform	VERB
cana-3828	63	8	them	they	PRON
cana-3828	63	9	that	that	SCONJ
cana-3828	63	10	their	their	PRON
cana-3828	63	11	machines	machine	NOUN
cana-3828	63	12	have	have	AUX
cana-3828	63	13	been	be	AUX
cana-3828	63	14	hijacked	hijack	VERB
cana-3828	63	15	and	and	CCONJ
cana-3828	63	16	promising	promise	VERB
cana-3828	63	17	to	to	PART
cana-3828	63	18	eradicate	eradicate	VERB
cana-3828	63	19	the	the	DET
cana-3828	63	20	ransomware	ransomware	NOUN
cana-3828	63	21	using	use	VERB
cana-3828	63	22	a	a	DET
cana-3828	63	23	false	false	ADJ
cana-3828	63	24	antivirus	antivirus	NOUN
cana-3828	63	25	program	program	NOUN
cana-3828	63	26	backed	back	VERB
cana-3828	63	27	by	by	ADP
cana-3828	63	28	the	the	DET
cana-3828	63	29	attacker	attacker	PROPN
cana-3828	63	30	.	.	PUNCT
cana-3828	64	1	numerous	numerous	ADJ
cana-3828	64	2	innocent	innocent	ADJ
cana-3828	64	3	consumers	consumer	NOUN
cana-3828	64	4	buy	buy	VERB
cana-3828	64	5	and	and	CCONJ
cana-3828	64	6	install	install	VERB
cana-3828	64	7	fake	fake	ADJ
cana-3828	64	8	antivirus	antivirus	NOUN
cana-3828	64	9	software	software	NOUN
cana-3828	64	10	due	due	ADP
cana-3828	64	11	to	to	ADP
cana-3828	64	12	scareware	scareware	NOUN
cana-3828	64	13	alerts	alert	NOUN
cana-3828	64	14	’	'	PUNCT
cana-3828	64	15	frequent	frequent	ADJ
cana-3828	64	16	appearance	appearance	NOUN
cana-3828	64	17	[	[	X
cana-3828	64	18	5	5	NUM
cana-3828	64	19	]	]	PUNCT
cana-3828	64	20	.	.	PUNCT
cana-3828	65	1	human	human	NOUN
cana-3828	65	2	-	-	PUNCT
cana-3828	65	3	operated	operate	VERB
cana-3828	65	4	malware	malware	NOUN
cana-3828	65	5	and	and	CCONJ
cana-3828	65	6	ransomware	ransomware	NOUN
cana-3828	65	7	without	without	ADP
cana-3828	65	8	data	datum	NOUN
cana-3828	65	9	are	be	AUX
cana-3828	65	10	different	different	ADJ
cana-3828	65	11	from	from	ADP
cana-3828	65	12	ransomware	ransomware	NOUN
cana-3828	65	13	.	.	PUNCT
cana-3828	66	1	cybercriminals	cybercriminal	NOUN
cana-3828	66	2	also	also	ADV
cana-3828	66	3	employ	employ	VERB
cana-3828	66	4	human	human	NOUN
cana-3828	66	5	-	-	PUNCT
cana-3828	66	6	operated	operate	VERB
cana-3828	66	7	ransomware	ransomware	NOUN
cana-3828	66	8	to	to	PART
cana-3828	66	9	break	break	VERB
cana-3828	66	10	into	into	ADP
cana-3828	66	11	networks	network	NOUN
cana-3828	66	12	or	or	CCONJ
cana-3828	66	13	cloud	cloud	NOUN
cana-3828	66	14	infrastructure	infrastructure	NOUN
cana-3828	66	15	,	,	PUNCT
cana-3828	66	16	carry	carry	VERB
cana-3828	66	17	out	out	ADP
cana-3828	66	18	privilege	privilege	NOUN
cana-3828	66	19	escalation	escalation	NOUN
cana-3828	66	20	,	,	PUNCT
cana-3828	66	21	and	and	CCONJ
cana-3828	66	22	launch	launch	NOUN
cana-3828	66	23	attacks	attack	NOUN
cana-3828	66	24	on	on	ADP
cana-3828	66	25	sensitive	sensitive	ADJ
cana-3828	66	26	data	datum	NOUN
cana-3828	66	27	.	.	PUNCT
cana-3828	67	1	instead	instead	ADV
cana-3828	67	2	of	of	ADP
cana-3828	67	3	simply	simply	ADV
cana-3828	67	4	one	one	NUM
cana-3828	67	5	system	system	NOUN
cana-3828	67	6	,	,	PUNCT
cana-3828	67	7	the	the	DET
cana-3828	67	8	attack	attack	NOUN
cana-3828	67	9	actively	actively	ADV
cana-3828	67	10	targets	target	VERB
cana-3828	67	11	an	an	DET
cana-3828	67	12	entire	entire	ADJ
cana-3828	67	13	organization	organization	NOUN
cana-3828	67	14	.	.	PUNCT
cana-3828	68	1	attackers	attacker	NOUN
cana-3828	68	2	typically	typically	ADV
cana-3828	68	3	access	access	VERB
cana-3828	68	4	a	a	DET
cana-3828	68	5	whole	whole	ADJ
cana-3828	68	6	it	it	PRON
cana-3828	68	7	system	system	NOUN
cana-3828	68	8	,	,	PUNCT
cana-3828	68	9	move	move	VERB
cana-3828	68	10	laterally	laterally	ADV
cana-3828	68	11	,	,	PUNCT
cana-3828	68	12	and	and	CCONJ
cana-3828	68	13	exploit	exploit	VERB
cana-3828	68	14	flaws	flaw	NOUN
cana-3828	68	15	via	via	ADP
cana-3828	68	16	improper	improper	ADJ
cana-3828	68	17	security	security	NOUN
cana-3828	68	18	configurations	configuration	NOUN
cana-3828	68	19	.	.	PUNCT
cana-3828	69	1	ultimately	ultimately	ADV
cana-3828	69	2	,	,	PUNCT
cana-3828	69	3	unauthorized	unauthorized	ADJ
cana-3828	69	4	access	access	NOUN
cana-3828	69	5	to	to	ADP
cana-3828	69	6	privileged	privileged	ADJ
cana-3828	69	7	user	user	NOUN
cana-3828	69	8	credentials	credential	NOUN
cana-3828	69	9	leads	lead	VERB
cana-3828	69	10	to	to	ADP
cana-3828	69	11	ransomware	ransomware	NOUN
cana-3828	69	12	assaults	assault	NOUN
cana-3828	69	13	on	on	ADP
cana-3828	69	14	it	it	PRON
cana-3828	69	15	systems	system	NOUN
cana-3828	69	16	that	that	PRON
cana-3828	69	17	enable	enable	VERB
cana-3828	69	18	crucial	crucial	ADJ
cana-3828	69	19	corporate	corporate	ADJ
cana-3828	69	20	activities	activity	NOUN
cana-3828	69	21	[	[	X
cana-3828	69	22	3,4	3,4	NUM
cana-3828	69	23	]	]	PUNCT
cana-3828	69	24	.	.	PUNCT
cana-3828	70	1	figure	figure	NOUN
cana-3828	70	2	4	4	NUM
cana-3828	70	3	provides	provide	VERB
cana-3828	70	4	a	a	DET
cana-3828	70	5	visual	visual	ADJ
cana-3828	70	6	representation	representation	NOUN
cana-3828	70	7	of	of	ADP
cana-3828	70	8	scareware	scareware	NOUN
cana-3828	70	9	,	,	PUNCT
cana-3828	70	10	a	a	DET
cana-3828	70	11	form	form	NOUN
cana-3828	70	12	of	of	ADP
cana-3828	70	13	malicious	malicious	ADJ
cana-3828	70	14	software	software	NOUN
cana-3828	70	15	that	that	PRON
cana-3828	70	16	is	be	AUX
cana-3828	70	17	becoming	become	VERB
cana-3828	70	18	increasingly	increasingly	ADV
cana-3828	70	19	prevalent	prevalent	ADJ
cana-3828	70	20	in	in	ADP
cana-3828	70	21	cyberattacks	cyberattack	NOUN
cana-3828	70	22	[	[	X
cana-3828	70	23	4	4	NUM
cana-3828	70	24	]	]	PUNCT
cana-3828	70	25	.	.	PUNCT
cana-3828	71	1	however	however	ADV
cana-3828	71	2	,	,	PUNCT
cana-3828	71	3	ransomware	ransomware	NOUN
cana-3828	71	4	without	without	ADP
cana-3828	71	5	files	file	NOUN
cana-3828	71	6	uses	use	VERB
cana-3828	71	7	a	a	DET
cana-3828	71	8	native	native	ADJ
cana-3828	71	9	and	and	CCONJ
cana-3828	71	10	reliable	reliable	ADJ
cana-3828	71	11	system	system	NOUN
cana-3828	71	12	to	to	PART
cana-3828	71	13	launch	launch	VERB
cana-3828	71	14	attacks	attack	NOUN
cana-3828	71	15	.	.	PUNCT
cana-3828	72	1	it	it	PRON
cana-3828	72	2	is	be	AUX
cana-3828	72	3	difficult	difficult	ADJ
cana-3828	72	4	to	to	PART
cana-3828	72	5	identify	identify	VERB
cana-3828	72	6	the	the	DET
cana-3828	72	7	attack	attack	NOUN
cana-3828	72	8	because	because	SCONJ
cana-3828	72	9	no	no	DET
cana-3828	72	10	code	code	NOUN
cana-3828	72	11	needs	need	VERB
cana-3828	72	12	to	to	PART
cana-3828	72	13	be	be	AUX
cana-3828	72	14	placed	place	VERB
cana-3828	72	15	on	on	ADP
cana-3828	72	16	the	the	DET
cana-3828	72	17	victim	victim	NOUN
cana-3828	72	18	’s	’s	PART
cana-3828	72	19	machine	machine	NOUN
cana-3828	72	20	for	for	SCONJ
cana-3828	72	21	it	it	PRON
cana-3828	72	22	to	to	PART
cana-3828	72	23	work	work	VERB
cana-3828	72	24	.	.	PUNCT
cana-3828	73	1	as	as	ADP
cana-3828	73	2	a	a	DET
cana-3828	73	3	result	result	NOUN
cana-3828	73	4	,	,	PUNCT
cana-3828	73	5	antiransomware	antiransomware	PROPN
cana-3828	73	6	technologies	technology	NOUN
cana-3828	73	7	do	do	AUX
cana-3828	73	8	not	not	PART
cana-3828	73	9	find	find	VERB
cana-3828	73	10	any	any	DET
cana-3828	73	11	suspicious	suspicious	ADJ
cana-3828	73	12	files	file	NOUN
cana-3828	73	13	to	to	PART
cana-3828	73	14	trace	trace	VERB
cana-3828	73	15	during	during	ADP
cana-3828	73	16	an	an	DET
cana-3828	73	17	attack	attack	NOUN
cana-3828	73	18	.	.	PUNCT
cana-3828	74	1	depending	depend	VERB
cana-3828	74	2	on	on	ADP
cana-3828	74	3	the	the	DET
cana-3828	74	4	attacker	attacker	NOUN
cana-3828	74	5	’s	’s	PART
cana-3828	74	6	intentions	intention	NOUN
cana-3828	74	7	,	,	PUNCT
cana-3828	74	8	file	file	NOUN
cana-3828	74	9	-	-	PUNCT
cana-3828	74	10	based	base	VERB
cana-3828	74	11	and	and	CCONJ
cana-3828	74	12	human	human	NOUN
cana-3828	74	13	-	-	PUNCT
cana-3828	74	14	operated	operate	VERB
cana-3828	74	15	ransomware	ransomware	NOUN
cana-3828	74	16	can	can	AUX
cana-3828	74	17	encrypt	encrypt	VERB
cana-3828	74	18	,	,	PUNCT
cana-3828	74	19	lock	lock	NOUN
cana-3828	74	20	,	,	PUNCT
cana-3828	74	21	or	or	CCONJ
cana-3828	74	22	leak	leak	VERB
cana-3828	74	23	data	datum	NOUN
cana-3828	74	24	from	from	ADP
cana-3828	74	25	files	file	NOUN
cana-3828	74	26	[	[	X
cana-3828	74	27	2	2	NUM
cana-3828	74	28	]	]	PUNCT
cana-3828	74	29	.	.	PUNCT
cana-3828	75	1	ransomware	ransomware	NOUN
cana-3828	75	2	poses	pose	VERB
cana-3828	75	3	a	a	DET
cana-3828	75	4	danger	danger	NOUN
cana-3828	75	5	to	to	ADP
cana-3828	75	6	businesses	business	NOUN
cana-3828	75	7	’	'	PUNCT
cana-3828	75	8	technology	technology	NOUN
cana-3828	75	9	and	and	CCONJ
cana-3828	75	10	files	file	NOUN
cana-3828	75	11	.	.	PUNCT
cana-3828	76	1	until	until	SCONJ
cana-3828	76	2	the	the	DET
cana-3828	76	3	ransom	ransom	NOUN
cana-3828	76	4	is	be	AUX
cana-3828	76	5	paid	pay	VERB
cana-3828	76	6	,	,	PUNCT
cana-3828	76	7	typically	typically	ADV
cana-3828	76	8	with	with	SCONJ
cana-3828	76	9	bitcoin	bitcoin	NOUN
cana-3828	76	10	,	,	PUNCT
cana-3828	76	11	infected	infected	ADJ
cana-3828	76	12	files	file	NOUN
cana-3828	76	13	or	or	CCONJ
cana-3828	76	14	compromised	compromise	VERB
cana-3828	76	15	devices	device	NOUN
cana-3828	76	16	are	be	AUX
cana-3828	76	17	locked	lock	VERB
cana-3828	76	18	out	out	ADP
cana-3828	76	19	of	of	ADP
cana-3828	76	20	reach	reach	NOUN
cana-3828	76	21	.	.	PUNCT
cana-3828	77	1	the	the	DET
cana-3828	77	2	decryption	decryption	NOUN
cana-3828	77	3	key	key	NOUN
cana-3828	77	4	is	be	AUX
cana-3828	77	5	frequently	frequently	ADV
cana-3828	77	6	withheld	withhold	VERB
cana-3828	77	7	even	even	ADV
cana-3828	77	8	after	after	SCONJ
cana-3828	77	9	a	a	DET
cana-3828	77	10	victim	victim	NOUN
cana-3828	77	11	pays	pay	VERB
cana-3828	77	12	the	the	DET
cana-3828	77	13	ransom	ransom	NOUN
cana-3828	77	14	the	the	DET
cana-3828	77	15	hackers	hacker	NOUN
cana-3828	77	16	want	want	VERB
cana-3828	77	17	.	.	PUNCT
cana-3828	78	1	they	they	PRON
cana-3828	78	2	periodically	periodically	ADV
cana-3828	78	3	try	try	VERB
cana-3828	78	4	to	to	PART
cana-3828	78	5	use	use	VERB
cana-3828	78	6	the	the	DET
cana-3828	78	7	attacker	attacker	NOUN
cana-3828	78	8	’s	’s	PART
cana-3828	78	9	key	key	NOUN
cana-3828	78	10	to	to	PART
cana-3828	78	11	decrypt	decrypt	VERB
cana-3828	78	12	the	the	DET
cana-3828	78	13	data	datum	NOUN
cana-3828	78	14	,	,	PUNCT
cana-3828	78	15	which	which	PRON
cana-3828	78	16	damages	damage	VERB
cana-3828	78	17	the	the	DET
cana-3828	78	18	system	system	NOUN
cana-3828	78	19	’s	’s	PART
cana-3828	78	20	stored	store	VERB
cana-3828	78	21	files	file	NOUN
cana-3828	78	22	.	.	PUNCT
cana-3828	79	1	technology	technology	NOUN
cana-3828	79	2	advancements	advancement	NOUN
cana-3828	79	3	such	such	ADJ
cana-3828	79	4	as	as	ADP
cana-3828	79	5	ransomware	ransomware	NOUN
cana-3828	79	6	development	development	NOUN
cana-3828	79	7	kits	kit	NOUN
cana-3828	79	8	,	,	PUNCT
cana-3828	79	9	ransomware	ransomware	NOUN
cana-3828	79	10	-	-	PUNCT
cana-3828	79	11	as	as	ADP
cana-3828	79	12	-	-	PUNCT
cana-3828	79	13	a	a	DET
cana-3828	79	14	-	-	PUNCT
cana-3828	79	15	service	service	NOUN
cana-3828	79	16	,	,	PUNCT
cana-3828	79	17	and	and	CCONJ
cana-3828	79	18	bitcoins	bitcoin	NOUN
cana-3828	79	19	are	be	AUX
cana-3828	79	20	to	to	PART
cana-3828	79	21	blame	blame	VERB
cana-3828	79	22	for	for	ADP
cana-3828	79	23	the	the	DET
cana-3828	79	24	ongoing	ongoing	ADJ
cana-3828	79	25	rise	rise	NOUN
cana-3828	79	26	in	in	ADP
cana-3828	79	27	ransomware	ransomware	NOUN
cana-3828	79	28	attacks	attack	NOUN
cana-3828	79	29	on	on	ADP
cana-3828	79	30	desktop	desktop	NOUN
cana-3828	79	31	pcs	pc	NOUN
cana-3828	79	32	,	,	PUNCT
cana-3828	79	33	networks	network	NOUN
cana-3828	79	34	,	,	PUNCT
cana-3828	79	35	and	and	CCONJ
cana-3828	79	36	mobile	mobile	NOUN
cana-3828	79	37	devices	device	NOUN
cana-3828	79	38	[	[	X
cana-3828	79	39	2	2	NUM
cana-3828	79	40	]	]	PUNCT
cana-3828	79	41	.	.	PUNCT
cana-3828	80	1	attacks	attack	NOUN
cana-3828	80	2	using	use	VERB
cana-3828	80	3	ransomware	ransomware	NOUN
cana-3828	80	4	cost	cost	NOUN
cana-3828	80	5	businesses	business	NOUN
cana-3828	80	6	and	and	CCONJ
cana-3828	80	7	individuals	individual	NOUN
cana-3828	80	8	hundreds	hundred	NOUN
cana-3828	80	9	of	of	ADP
cana-3828	80	10	millions	million	NOUN
cana-3828	80	11	yearly	yearly	ADV
cana-3828	80	12	[	[	X
cana-3828	80	13	3	3	NUM
cana-3828	80	14	]	]	PUNCT
cana-3828	80	15	.	.	PUNCT
cana-3828	81	1	new	new	ADJ
cana-3828	81	2	types	type	NOUN
cana-3828	81	3	of	of	ADP
cana-3828	81	4	malware	malware	NOUN
cana-3828	81	5	are	be	AUX
cana-3828	81	6	continually	continually	ADV
cana-3828	81	7	being	be	AUX
cana-3828	81	8	created	create	VERB
cana-3828	81	9	thanks	thank	NOUN
cana-3828	81	10	to	to	ADP
cana-3828	81	11	the	the	DET
cana-3828	81	12	enormous	enormous	ADJ
cana-3828	81	13	cash	cash	NOUN
cana-3828	81	14	benefits	benefit	NOUN
cana-3828	81	15	that	that	PRON
cana-3828	81	16	hackers	hacker	NOUN
cana-3828	81	17	gain	gain	VERB
cana-3828	81	18	from	from	ADP
cana-3828	81	19	ransomware	ransomware	NOUN
cana-3828	81	20	assaults	assault	NOUN
cana-3828	81	21	.	.	PUNCT
cana-3828	82	1	since	since	SCONJ
cana-3828	82	2	2013	2013	NUM
cana-3828	82	3	,	,	PUNCT
cana-3828	82	4	numerous	numerous	ADJ
cana-3828	82	5	ransomware	ransomware	NOUN
cana-3828	82	6	variants	variant	NOUN
cana-3828	82	7	have	have	AUX
cana-3828	82	8	appeared	appear	VERB
cana-3828	82	9	.	.	PUNCT
cana-3828	83	1	therefore	therefore	ADV
cana-3828	83	2	,	,	PUNCT
cana-3828	83	3	new	new	ADJ
cana-3828	83	4	,	,	PUNCT
cana-3828	83	5	effective	effective	ADJ
cana-3828	83	6	,	,	PUNCT
cana-3828	83	7	and	and	CCONJ
cana-3828	83	8	reliable	reliable	ADJ
cana-3828	83	9	techniques	technique	NOUN
cana-3828	83	10	are	be	AUX
cana-3828	83	11	needed	need	VERB
cana-3828	83	12	to	to	PART
cana-3828	83	13	detect	detect	VERB
cana-3828	83	14	,	,	PUNCT
cana-3828	83	15	prevent	prevent	NOUN
cana-3828	83	16	,	,	PUNCT
cana-3828	83	17	and	and	CCONJ
cana-3828	83	18	mitigate	mitigate	VERB
cana-3828	83	19	ransomware	ransomware	NOUN
cana-3828	83	20	attacks	attack	NOUN
cana-3828	83	21	.	.	PUNCT
cana-3828	84	1	different	different	ADJ
cana-3828	84	2	ransomware	ransomware	NOUN
cana-3828	84	3	strains	strain	VERB
cana-3828	84	4	can	can	AUX
cana-3828	84	5	not	not	PART
cana-3828	84	6	be	be	AUX
cana-3828	84	7	created	create	VERB
cana-3828	84	8	using	use	VERB
cana-3828	84	9	conventional	conventional	ADJ
cana-3828	84	10	antivirus	antivirus	NOUN
cana-3828	84	11	software	software	NOUN
cana-3828	84	12	or	or	CCONJ
cana-3828	84	13	other	other	ADJ
cana-3828	84	14	intrusion	intrusion	NOUN
cana-3828	84	15	-	-	PUNCT
cana-3828	84	16	detection	detection	NOUN
cana-3828	84	17	systems	system	NOUN
cana-3828	84	18	.	.	PUNCT
cana-3828	85	1	people	people	NOUN
cana-3828	85	2	and	and	CCONJ
cana-3828	85	3	companies	company	NOUN
cana-3828	85	4	experience	experience	VERB
cana-3828	85	5	significant	significant	ADJ
cana-3828	85	6	financial	financial	ADJ
cana-3828	85	7	losses	loss	NOUN
cana-3828	85	8	as	as	ADP
cana-3828	85	9	a	a	DET
cana-3828	85	10	result	result	NOUN
cana-3828	85	11	of	of	ADP
cana-3828	85	12	ransomware	ransomware	NOUN
cana-3828	85	13	attacks	attack	NOUN
cana-3828	85	14	.	.	PUNCT
cana-3828	86	1	the	the	DET
cana-3828	86	2	encryption	encryption	NOUN
cana-3828	86	3	of	of	ADP
cana-3828	86	4	files	file	NOUN
cana-3828	86	5	or	or	CCONJ
cana-3828	86	6	devices	device	NOUN
cana-3828	86	7	until	until	SCONJ
cana-3828	86	8	a	a	DET
cana-3828	86	9	ransom	ransom	NOUN
cana-3828	86	10	is	be	AUX
cana-3828	86	11	paid	pay	VERB
cana-3828	86	12	can	can	AUX
cana-3828	86	13	result	result	VERB
cana-3828	86	14	in	in	ADP
cana-3828	86	15	the	the	DET
cana-3828	86	16	permanent	permanent	ADJ
cana-3828	86	17	loss	loss	NOUN
cana-3828	86	18	of	of	ADP
cana-3828	86	19	important	important	ADJ
cana-3828	86	20	data	datum	NOUN
cana-3828	86	21	,	,	PUNCT
cana-3828	86	22	which	which	PRON
cana-3828	86	23	can	can	AUX
cana-3828	86	24	have	have	VERB
cana-3828	86	25	severe	severe	ADJ
cana-3828	86	26	consequences	consequence	NOUN
cana-3828	86	27	for	for	ADP
cana-3828	86	28	individuals	individual	NOUN
cana-3828	86	29	and	and	CCONJ
cana-3828	86	30	businesses	business	NOUN
cana-3828	86	31	alike	alike	ADV
cana-3828	86	32	.	.	PUNCT
cana-3828	87	1	even	even	ADV
cana-3828	87	2	after	after	SCONJ
cana-3828	87	3	the	the	DET
cana-3828	87	4	ransom	ransom	NOUN
cana-3828	87	5	is	be	AUX
cana-3828	87	6	paid	pay	VERB
cana-3828	87	7	,	,	PUNCT
cana-3828	87	8	the	the	DET
cana-3828	87	9	decryption	decryption	NOUN
cana-3828	87	10	key	key	NOUN
cana-3828	87	11	is	be	AUX
cana-3828	87	12	often	often	ADV
cana-3828	87	13	withheld	withhold	VERB
cana-3828	87	14	,	,	PUNCT
cana-3828	87	15	causing	cause	VERB
cana-3828	87	16	additional	additional	ADJ
cana-3828	87	17	damage	damage	NOUN
cana-3828	87	18	communications	communication	NOUN
cana-3828	87	19	on	on	ADP
cana-3828	87	20	applied	apply	VERB
cana-3828	87	21	nonlinear	nonlinear	ADJ
cana-3828	87	22	analysis	analysis	NOUN
cana-3828	87	23	issn	issn	NOUN
cana-3828	87	24	:	:	PUNCT
cana-3828	87	25	1074	1074	NUM
cana-3828	87	26	-	-	PUNCT
cana-3828	87	27	133x	133x	NUM
cana-3828	87	28	vol	vol	NOUN
cana-3828	87	29	32	32	NUM
cana-3828	87	30	no	no	NOUN
cana-3828	87	31	.	.	PUNCT
cana-3828	88	1	8s	8s	PROPN
cana-3828	88	2	(	(	PUNCT
cana-3828	88	3	2025	2025	NUM
cana-3828	88	4	)	)	PUNCT
cana-3828	88	5	872	872	NUM
cana-3828	88	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	88	7	to	to	ADP
cana-3828	88	8	the	the	DET
cana-3828	88	9	system	system	NOUN
cana-3828	88	10	’s	’s	PART
cana-3828	88	11	stored	store	VERB
cana-3828	88	12	files	file	NOUN
cana-3828	88	13	when	when	SCONJ
cana-3828	88	14	attackers	attacker	NOUN
cana-3828	88	15	attempt	attempt	VERB
cana-3828	88	16	to	to	PART
cana-3828	88	17	decrypt	decrypt	VERB
cana-3828	88	18	the	the	DET
cana-3828	88	19	data	datum	NOUN
cana-3828	88	20	[	[	X
cana-3828	88	21	1,6	1,6	NUM
cana-3828	88	22	]	]	PUNCT
cana-3828	88	23	.	.	PUNCT
cana-3828	89	1	an	an	DET
cana-3828	89	2	analysis	analysis	NOUN
cana-3828	89	3	of	of	ADP
cana-3828	89	4	studies	study	NOUN
cana-3828	89	5	between	between	ADP
cana-3828	89	6	2017	2017	NUM
cana-3828	89	7	and	and	CCONJ
cana-3828	89	8	2024	2024	NUM
cana-3828	89	9	is	be	AUX
cana-3828	89	10	another	another	DET
cana-3828	89	11	advantage	advantage	NOUN
cana-3828	89	12	of	of	ADP
cana-3828	89	13	this	this	DET
cana-3828	89	14	research	research	NOUN
cana-3828	89	15	.	.	PUNCT
cana-3828	90	1	this	this	PRON
cana-3828	90	2	provides	provide	VERB
cana-3828	90	3	readers	reader	NOUN
cana-3828	90	4	with	with	ADP
cana-3828	90	5	up	up	ADP
cana-3828	90	6	-	-	PUNCT
cana-3828	90	7	to	to	ADP
cana-3828	90	8	-	-	PUNCT
cana-3828	90	9	date	date	NOUN
cana-3828	90	10	knowledge	knowledge	NOUN
cana-3828	90	11	of	of	ADP
cana-3828	90	12	the	the	DET
cana-3828	90	13	most	most	ADV
cana-3828	90	14	recent	recent	ADJ
cana-3828	90	15	developments	development	NOUN
cana-3828	90	16	in	in	ADP
cana-3828	90	17	ransomware	ransomware	NOUN
cana-3828	90	18	detection	detection	NOUN
cana-3828	90	19	and	and	CCONJ
cana-3828	90	20	highlights	highlight	NOUN
cana-3828	90	21	advancements	advancement	NOUN
cana-3828	90	22	in	in	ADP
cana-3828	90	23	methods	method	NOUN
cana-3828	90	24	for	for	ADP
cana-3828	90	25	combating	combat	VERB
cana-3828	90	26	ransomware	ransomware	NOUN
cana-3828	90	27	attacks	attack	NOUN
cana-3828	90	28	.	.	PUNCT
cana-3828	91	1	2	2	X
cana-3828	91	2	.	.	X
cana-3828	91	3	literature	literature	NOUN
cana-3828	91	4	review	review	PROPN
cana-3828	91	5	authors	author	NOUN
cana-3828	91	6	paper	paper	VERB
cana-3828	91	7	title	title	NOUN
cana-3828	91	8	&	&	CCONJ
cana-3828	91	9	year	year	NOUN
cana-3828	91	10	work	work	NOUN
cana-3828	91	11	done	do	VERB
cana-3828	91	12	future	future	ADJ
cana-3828	91	13	scope	scope	NOUN
cana-3828	91	14	limitations	limitation	NOUN
cana-3828	91	15	kumar	kumar	PROPN
cana-3828	91	16	and	and	CCONJ
cana-3828	91	17	singh	singh	PROPN
cana-3828	91	18	.	.	PUNCT
cana-3828	92	1	[	[	PUNCT
cana-3828	92	2	]	]	X
cana-3828	92	3	logistic	logistic	ADJ
cana-3828	92	4	regression	regression	NOUN
cana-3828	92	5	for	for	ADP
cana-3828	92	6	real	real	ADJ
cana-3828	92	7	-	-	PUNCT
cana-3828	92	8	time	time	NOUN
cana-3828	92	9	ransomware	ransomware	NOUN
cana-3828	92	10	detection	detection	NOUN
cana-3828	92	11	(	(	PUNCT
cana-3828	92	12	2023	2023	NUM
cana-3828	92	13	)	)	PUNCT
cana-3828	92	14	used	use	VERB
cana-3828	92	15	logistic	logistic	ADJ
cana-3828	92	16	regression	regression	NOUN
cana-3828	92	17	for	for	ADP
cana-3828	92	18	realtime	realtime	NOUN
cana-3828	92	19	ransomware	ransomware	NOUN
cana-3828	92	20	detection	detection	NOUN
cana-3828	92	21	,	,	PUNCT
cana-3828	92	22	with	with	ADP
cana-3828	92	23	an	an	DET
cana-3828	92	24	accuracy	accuracy	NOUN
cana-3828	92	25	of	of	ADP
cana-3828	92	26	84.5	84.5	NUM
cana-3828	92	27	%	%	NOUN
cana-3828	92	28	,	,	PUNCT
cana-3828	92	29	focusing	focus	VERB
cana-3828	92	30	on	on	ADP
cana-3828	92	31	quick	quick	ADJ
cana-3828	92	32	,	,	PUNCT
cana-3828	92	33	interpretable	interpretable	ADJ
cana-3828	92	34	results	result	NOUN
cana-3828	92	35	apply	apply	VERB
cana-3828	92	36	feature	feature	NOUN
cana-3828	92	37	selection	selection	NOUN
cana-3828	92	38	and	and	CCONJ
cana-3828	92	39	dimensionality	dimensionality	NOUN
cana-3828	92	40	reduction	reduction	NOUN
cana-3828	92	41	techniques	technique	NOUN
cana-3828	92	42	to	to	PART
cana-3828	92	43	improve	improve	VERB
cana-3828	92	44	performance	performance	NOUN
cana-3828	92	45	and	and	CCONJ
cana-3828	92	46	reduce	reduce	VERB
cana-3828	92	47	false	false	ADJ
cana-3828	92	48	positives	positive	NOUN
cana-3828	92	49	limited	limited	ADJ
cana-3828	92	50	accuracy	accuracy	NOUN
cana-3828	92	51	and	and	CCONJ
cana-3828	92	52	scalability	scalability	NOUN
cana-3828	92	53	in	in	ADP
cana-3828	92	54	complex	complex	ADJ
cana-3828	92	55	environments	environment	NOUN
cana-3828	92	56	with	with	ADP
cana-3828	92	57	advanced	advanced	ADJ
cana-3828	92	58	ransomware	ransomware	NOUN
cana-3828	92	59	attacks	attack	NOUN
cana-3828	92	60	.	.	PUNCT
cana-3828	93	1	james	james	PROPN
cana-3828	93	2	and	and	CCONJ
cana-3828	93	3	li	li	PROPN
cana-3828	93	4	hybrid	hybrid	ADJ
cana-3828	93	5	machine	machine	NOUN
cana-3828	93	6	learning	learning	NOUN
cana-3828	93	7	model	model	NOUN
cana-3828	93	8	for	for	ADP
cana-3828	93	9	enhanced	enhanced	ADJ
cana-3828	93	10	ransomware	ransomware	NOUN
cana-3828	93	11	detection	detection	NOUN
cana-3828	93	12	(	(	PUNCT
cana-3828	93	13	2022	2022	NUM
cana-3828	93	14	)	)	PUNCT
cana-3828	93	15	proposed	propose	VERB
cana-3828	93	16	a	a	DET
cana-3828	93	17	hybrid	hybrid	ADJ
cana-3828	93	18	model	model	NOUN
cana-3828	93	19	combining	combine	VERB
cana-3828	93	20	gradient	gradient	NOUN
cana-3828	93	21	boosting	boosting	NOUN
cana-3828	93	22	and	and	CCONJ
cana-3828	93	23	svm	svm	ADJ
cana-3828	93	24	,	,	PUNCT
cana-3828	93	25	achieving	achieve	VERB
cana-3828	93	26	99.4	99.4	NUM
cana-3828	93	27	%	%	NOUN
cana-3828	93	28	accuracy	accuracy	NOUN
cana-3828	93	29	,	,	PUNCT
cana-3828	93	30	emphasizing	emphasize	VERB
cana-3828	93	31	feature	feature	NOUN
cana-3828	93	32	interaction	interaction	NOUN
cana-3828	93	33	.	.	PUNCT
cana-3828	94	1	investigate	investigate	VERB
cana-3828	94	2	realtime	realtime	NOUN
cana-3828	94	3	detection	detection	NOUN
cana-3828	94	4	and	and	CCONJ
cana-3828	94	5	response	response	NOUN
cana-3828	94	6	strategies	strategy	NOUN
cana-3828	94	7	using	use	VERB
cana-3828	94	8	hybrid	hybrid	ADJ
cana-3828	94	9	models	model	NOUN
cana-3828	94	10	in	in	ADP
cana-3828	94	11	dynamic	dynamic	ADJ
cana-3828	94	12	environments	environment	NOUN
cana-3828	94	13	.	.	PUNCT
cana-3828	95	1	hybrid	hybrid	ADJ
cana-3828	95	2	approach	approach	NOUN
cana-3828	95	3	increases	increase	VERB
cana-3828	95	4	complexity	complexity	NOUN
cana-3828	95	5	and	and	CCONJ
cana-3828	95	6	computational	computational	ADJ
cana-3828	95	7	costs	cost	NOUN
cana-3828	95	8	;	;	PUNCT
cana-3828	95	9	limited	limit	VERB
cana-3828	95	10	to	to	ADP
cana-3828	95	11	offline	offline	ADJ
cana-3828	95	12	detection	detection	NOUN
cana-3828	95	13	.	.	PUNCT
cana-3828	96	1	murphy	murphy	PROPN
cana-3828	96	2	,	,	PUNCT
cana-3828	96	3	gupta	gupta	PROPN
cana-3828	96	4	,	,	PUNCT
cana-3828	96	5	and	and	CCONJ
cana-3828	96	6	zhang	zhang	PROPN
cana-3828	96	7	hybrid	hybrid	ADJ
cana-3828	96	8	deep	deep	ADJ
cana-3828	96	9	learning	learning	NOUN
cana-3828	96	10	and	and	CCONJ
cana-3828	96	11	random	random	ADJ
cana-3828	96	12	forest	forest	NOUN
cana-3828	96	13	for	for	ADP
cana-3828	96	14	ransomware	ransomware	NOUN
cana-3828	96	15	detection	detection	NOUN
cana-3828	96	16	(	(	PUNCT
cana-3828	96	17	2021	2021	NUM
cana-3828	96	18	)	)	PUNCT
cana-3828	96	19	combined	combine	VERB
cana-3828	96	20	random	random	ADJ
cana-3828	96	21	forest	forest	NOUN
cana-3828	96	22	and	and	CCONJ
cana-3828	96	23	deep	deep	ADJ
cana-3828	96	24	learning	learning	NOUN
cana-3828	96	25	to	to	PART
cana-3828	96	26	achieve	achieve	VERB
cana-3828	96	27	99.6	99.6	NUM
cana-3828	96	28	%	%	NOUN
cana-3828	96	29	accuracy	accuracy	NOUN
cana-3828	96	30	,	,	PUNCT
cana-3828	96	31	focusing	focus	VERB
cana-3828	96	32	on	on	ADP
cana-3828	96	33	highdimensional	highdimensional	ADJ
cana-3828	96	34	ransomware	ransomware	NOUN
cana-3828	96	35	features	feature	NOUN
cana-3828	96	36	.	.	PUNCT
cana-3828	97	1	further	far	ADV
cana-3828	97	2	improve	improve	VERB
cana-3828	97	3	the	the	DET
cana-3828	97	4	hybrid	hybrid	ADJ
cana-3828	97	5	approach	approach	NOUN
cana-3828	97	6	by	by	ADP
cana-3828	97	7	incorporating	incorporate	VERB
cana-3828	97	8	adversarial	adversarial	ADJ
cana-3828	97	9	training	training	NOUN
cana-3828	97	10	to	to	PART
cana-3828	97	11	counter	counter	VERB
cana-3828	97	12	evasive	evasive	ADJ
cana-3828	97	13	ransomware	ransomware	NOUN
cana-3828	97	14	techniques	technique	NOUN
cana-3828	97	15	.	.	PUNCT
cana-3828	98	1	hybrid	hybrid	ADJ
cana-3828	98	2	model	model	NOUN
cana-3828	98	3	introduces	introduce	NOUN
cana-3828	98	4	computational	computational	ADJ
cana-3828	98	5	overhead	overhead	NOUN
cana-3828	98	6	and	and	CCONJ
cana-3828	98	7	complexity	complexity	NOUN
cana-3828	98	8	.	.	PUNCT
cana-3828	99	1	lu	lu	PROPN
cana-3828	99	2	,	,	PUNCT
cana-3828	99	3	zhang	zhang	PROPN
cana-3828	99	4	,	,	PUNCT
cana-3828	99	5	and	and	CCONJ
cana-3828	99	6	xu	xu	PROPN
cana-3828	99	7	ransomware	ransomware	NOUN
cana-3828	99	8	detection	detection	NOUN
cana-3828	99	9	using	use	VERB
cana-3828	99	10	random	random	ADJ
cana-3828	99	11	forest	forest	NOUN
cana-3828	99	12	(	(	PUNCT
cana-3828	99	13	2022	2022	NUM
cana-3828	99	14	)	)	PUNCT
cana-3828	99	15	explored	explore	VERB
cana-3828	99	16	the	the	DET
cana-3828	99	17	use	use	NOUN
cana-3828	99	18	of	of	ADP
cana-3828	99	19	random	random	ADJ
cana-3828	99	20	forest	forest	NOUN
cana-3828	99	21	for	for	ADP
cana-3828	99	22	ransomware	ransomware	NOUN
cana-3828	99	23	detection	detection	NOUN
cana-3828	99	24	,	,	PUNCT
cana-3828	99	25	achieving	achieve	VERB
cana-3828	99	26	99.25	99.25	NUM
cana-3828	99	27	%	%	NOUN
cana-3828	99	28	accuracy	accuracy	NOUN
cana-3828	99	29	with	with	ADP
cana-3828	99	30	static	static	ADJ
cana-3828	99	31	and	and	CCONJ
cana-3828	99	32	dynamic	dynamic	ADJ
cana-3828	99	33	features	feature	NOUN
cana-3828	99	34	.	.	PUNCT
cana-3828	100	1	incorporate	incorporate	VERB
cana-3828	100	2	more	more	ADV
cana-3828	100	3	advanced	advanced	ADJ
cana-3828	100	4	models	model	NOUN
cana-3828	100	5	like	like	ADP
cana-3828	100	6	deep	deep	ADJ
cana-3828	100	7	learning	learning	NOUN
cana-3828	100	8	for	for	ADP
cana-3828	100	9	real	real	ADJ
cana-3828	100	10	-	-	PUNCT
cana-3828	100	11	time	time	NOUN
cana-3828	100	12	detection	detection	NOUN
cana-3828	100	13	and	and	CCONJ
cana-3828	100	14	largescale	largescale	NOUN
cana-3828	100	15	deployment	deployment	NOUN
cana-3828	100	16	.	.	PUNCT
cana-3828	101	1	limited	limit	VERB
cana-3828	101	2	to	to	ADP
cana-3828	101	3	static	static	ADJ
cana-3828	101	4	and	and	CCONJ
cana-3828	101	5	dynamic	dynamic	ADJ
cana-3828	101	6	analysis	analysis	NOUN
cana-3828	101	7	without	without	ADP
cana-3828	101	8	focusing	focus	VERB
cana-3828	101	9	on	on	ADP
cana-3828	101	10	network	network	NOUN
cana-3828	101	11	traffic	traffic	NOUN
cana-3828	101	12	or	or	CCONJ
cana-3828	101	13	adversarial	adversarial	ADJ
cana-3828	101	14	ransomware	ransomware	NOUN
cana-3828	101	15	techniques	technique	NOUN
cana-3828	101	16	.	.	PUNCT
cana-3828	102	1	communications	communication	NOUN
cana-3828	102	2	on	on	ADP
cana-3828	102	3	applied	apply	VERB
cana-3828	102	4	nonlinear	nonlinear	ADJ
cana-3828	102	5	analysis	analysis	NOUN
cana-3828	102	6	issn	issn	NOUN
cana-3828	102	7	:	:	PUNCT
cana-3828	102	8	1074	1074	NUM
cana-3828	102	9	-	-	PUNCT
cana-3828	102	10	133x	133x	NUM
cana-3828	102	11	vol	vol	NOUN
cana-3828	102	12	32	32	NUM
cana-3828	102	13	no	no	NOUN
cana-3828	102	14	.	.	PUNCT
cana-3828	103	1	8s	8s	PROPN
cana-3828	103	2	(	(	PUNCT
cana-3828	103	3	2025	2025	NUM
cana-3828	103	4	)	)	PUNCT
cana-3828	103	5	873	873	NUM
cana-3828	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	103	7	farooq	farooq	PROPN
cana-3828	103	8	and	and	CCONJ
cana-3828	103	9	karim	karim	PROPN
cana-3828	103	10	.	.	PUNCT
cana-3828	104	1	adversarial	adversarial	ADJ
cana-3828	104	2	machine	machine	NOUN
cana-3828	104	3	learning	learn	VERB
cana-3828	104	4	in	in	ADP
cana-3828	104	5	ransomware	ransomware	NOUN
cana-3828	104	6	detection	detection	NOUN
cana-3828	104	7	(	(	PUNCT
cana-3828	104	8	2023	2023	NUM
cana-3828	104	9	)	)	PUNCT
cana-3828	104	10	explored	explore	VERB
cana-3828	104	11	adversarial	adversarial	ADJ
cana-3828	104	12	attacks	attack	NOUN
cana-3828	104	13	on	on	ADP
cana-3828	104	14	ml	ml	NOUN
cana-3828	104	15	models	model	NOUN
cana-3828	104	16	for	for	ADP
cana-3828	104	17	ransomware	ransomware	NOUN
cana-3828	104	18	detection	detection	NOUN
cana-3828	104	19	,	,	PUNCT
cana-3828	104	20	highlighting	highlight	VERB
cana-3828	104	21	vulnerabilities	vulnerability	NOUN
cana-3828	104	22	in	in	ADP
cana-3828	104	23	current	current	ADJ
cana-3828	104	24	systems	system	NOUN
cana-3828	104	25	develop	develop	VERB
cana-3828	104	26	robust	robust	ADJ
cana-3828	104	27	models	model	NOUN
cana-3828	104	28	capable	capable	ADJ
cana-3828	104	29	of	of	ADP
cana-3828	104	30	defending	defend	VERB
cana-3828	104	31	against	against	ADP
cana-3828	104	32	adversarial	adversarial	ADJ
cana-3828	104	33	examples	example	NOUN
cana-3828	104	34	and	and	CCONJ
cana-3828	104	35	adversarial	adversarial	ADJ
cana-3828	104	36	ransomware	ransomware	NOUN
cana-3828	104	37	attacks	attack	NOUN
cana-3828	104	38	.	.	PUNCT
cana-3828	105	1	existing	exist	VERB
cana-3828	105	2	models	model	NOUN
cana-3828	105	3	are	be	AUX
cana-3828	105	4	highly	highly	ADV
cana-3828	105	5	vulnerable	vulnerable	ADJ
cana-3828	105	6	to	to	ADP
cana-3828	105	7	adversarial	adversarial	ADJ
cana-3828	105	8	attacks	attack	NOUN
cana-3828	105	9	,	,	PUNCT
cana-3828	105	10	requiring	require	VERB
cana-3828	105	11	more	more	ADJ
cana-3828	105	12	robust	robust	ADJ
cana-3828	105	13	defences	defence	NOUN
cana-3828	105	14	.	.	PUNCT
cana-3828	106	1	hassan	hassan	PROPN
cana-3828	106	2	and	and	CCONJ
cana-3828	106	3	blake	blake	PROPN
cana-3828	106	4	decision	decision	NOUN
cana-3828	106	5	-	-	PUNCT
cana-3828	106	6	tree	tree	NOUN
cana-3828	106	7	based	base	VERB
cana-3828	106	8	detection	detection	NOUN
cana-3828	106	9	system	system	NOUN
cana-3828	106	10	for	for	ADP
cana-3828	106	11	ransomware	ransomware	NOUN
cana-3828	106	12	(	(	PUNCT
cana-3828	106	13	2020	2020	NUM
cana-3828	106	14	)	)	PUNCT
cana-3828	106	15	proposed	propose	VERB
cana-3828	106	16	a	a	DET
cana-3828	106	17	decision	decision	NOUN
cana-3828	106	18	-	-	PUNCT
cana-3828	106	19	tree	tree	NOUN
cana-3828	106	20	-	-	PUNCT
cana-3828	106	21	based	base	VERB
cana-3828	106	22	system	system	NOUN
cana-3828	106	23	to	to	PART
cana-3828	106	24	detect	detect	VERB
cana-3828	106	25	ransomware	ransomware	NOUN
cana-3828	106	26	by	by	ADP
cana-3828	106	27	analysing	analyse	VERB
cana-3828	106	28	file	file	NOUN
cana-3828	106	29	encryption	encryption	NOUN
cana-3828	106	30	behaviors	behavior	NOUN
cana-3828	106	31	with	with	ADP
cana-3828	106	32	high	high	ADJ
cana-3828	106	33	accuracy	accuracy	NOUN
cana-3828	106	34	.	.	PUNCT
cana-3828	107	1	expand	expand	VERB
cana-3828	107	2	system	system	NOUN
cana-3828	107	3	to	to	PART
cana-3828	107	4	include	include	VERB
cana-3828	107	5	network	network	NOUN
cana-3828	107	6	traffic	traffic	NOUN
cana-3828	107	7	analysis	analysis	NOUN
cana-3828	107	8	and	and	CCONJ
cana-3828	107	9	real	real	ADJ
cana-3828	107	10	-	-	PUNCT
cana-3828	107	11	time	time	NOUN
cana-3828	107	12	detection	detection	NOUN
cana-3828	107	13	techniques	technique	NOUN
cana-3828	107	14	.	.	PUNCT
cana-3828	108	1	limited	limit	VERB
cana-3828	108	2	to	to	PART
cana-3828	108	3	file	file	VERB
cana-3828	108	4	behaviour	behaviour	NOUN
cana-3828	108	5	,	,	PUNCT
cana-3828	108	6	no	no	DET
cana-3828	108	7	focus	focus	NOUN
cana-3828	108	8	on	on	ADP
cana-3828	108	9	network	network	NOUN
cana-3828	108	10	or	or	CCONJ
cana-3828	108	11	system	system	NOUN
cana-3828	108	12	-	-	PUNCT
cana-3828	108	13	level	level	NOUN
cana-3828	108	14	features	feature	NOUN
cana-3828	108	15	.	.	PUNCT
cana-3828	109	1	varma	varma	PROPN
cana-3828	109	2	and	and	CCONJ
cana-3828	109	3	joshi	joshi	PROPN
cana-3828	109	4	feature	feature	PROPN
cana-3828	109	5	engineering	engineering	NOUN
cana-3828	109	6	in	in	ADP
cana-3828	109	7	ransomware	ransomware	NOUN
cana-3828	109	8	detection	detection	NOUN
cana-3828	109	9	(	(	PUNCT
cana-3828	109	10	2023	2023	NUM
cana-3828	109	11	)	)	PUNCT
cana-3828	109	12	focused	focus	VERB
cana-3828	109	13	on	on	ADP
cana-3828	109	14	feature	feature	NOUN
cana-3828	109	15	engineering	engineering	NOUN
cana-3828	109	16	techniques	technique	NOUN
cana-3828	109	17	to	to	PART
cana-3828	109	18	improve	improve	VERB
cana-3828	109	19	detection	detection	NOUN
cana-3828	109	20	performance	performance	NOUN
cana-3828	109	21	by	by	ADP
cana-3828	109	22	extracting	extract	VERB
cana-3828	109	23	features	feature	NOUN
cana-3828	109	24	from	from	ADP
cana-3828	109	25	network	network	NOUN
cana-3828	109	26	develop	develop	VERB
cana-3828	109	27	more	more	ADV
cana-3828	109	28	robust	robust	ADJ
cana-3828	109	29	feature	feature	NOUN
cana-3828	109	30	extraction	extraction	NOUN
cana-3828	109	31	techniques	technique	NOUN
cana-3828	109	32	to	to	PART
cana-3828	109	33	identify	identify	VERB
cana-3828	109	34	new	new	ADJ
cana-3828	109	35	ransomware	ransomware	NOUN
cana-3828	109	36	variants	variant	NOUN
cana-3828	109	37	in	in	ADP
cana-3828	109	38	realtime	realtime	NOUN
cana-3828	109	39	.	.	PUNCT
cana-3828	110	1	the	the	DET
cana-3828	110	2	success	success	NOUN
cana-3828	110	3	of	of	ADP
cana-3828	110	4	the	the	DET
cana-3828	110	5	model	model	NOUN
cana-3828	110	6	depends	depend	VERB
cana-3828	110	7	heavily	heavily	ADV
cana-3828	110	8	on	on	ADP
cana-3828	110	9	the	the	DET
cana-3828	110	10	quality	quality	NOUN
cana-3828	110	11	of	of	ADP
cana-3828	110	12	feature	feature	NOUN
cana-3828	110	13	engineering	engineering	NOUN
cana-3828	110	14	authors	author	NOUN
cana-3828	110	15	paper	paper	NOUN
cana-3828	110	16	title	title	NOUN
cana-3828	110	17	&	&	CCONJ
cana-3828	110	18	year	year	NOUN
cana-3828	110	19	work	work	NOUN
cana-3828	110	20	done	do	VERB
cana-3828	110	21	future	future	ADJ
cana-3828	110	22	scope	scope	NOUN
cana-3828	110	23	limitations	limitation	NOUN
cana-3828	110	24	carroll	carroll	PROPN
cana-3828	110	25	,	,	PUNCT
cana-3828	110	26	zhao	zhao	PROPN
cana-3828	110	27	,	,	PUNCT
cana-3828	110	28	and	and	CCONJ
cana-3828	110	29	wang	wang	PROPN
cana-3828	110	30	explainable	explainable	PROPN
cana-3828	110	31	ai	ai	VERB
cana-3828	110	32	for	for	ADP
cana-3828	110	33	ransomware	ransomware	NOUN
cana-3828	110	34	detection	detection	NOUN
cana-3828	110	35	(	(	PUNCT
cana-3828	110	36	2021	2021	NUM
cana-3828	110	37	)	)	PUNCT
cana-3828	110	38	focused	focus	VERB
cana-3828	110	39	on	on	ADP
cana-3828	110	40	using	use	VERB
cana-3828	110	41	explainable	explainable	ADJ
cana-3828	110	42	ai	ai	NOUN
cana-3828	110	43	(	(	PUNCT
cana-3828	110	44	xai	xai	PROPN
cana-3828	110	45	)	)	PUNCT
cana-3828	110	46	techniques	technique	NOUN
cana-3828	110	47	to	to	PART
cana-3828	110	48	make	make	VERB
cana-3828	110	49	ransomware	ransomware	NOUN
cana-3828	110	50	detection	detection	NOUN
cana-3828	110	51	models	model	NOUN
cana-3828	110	52	more	more	ADV
cana-3828	110	53	interpretable	interpretable	ADJ
cana-3828	110	54	and	and	CCONJ
cana-3828	110	55	trustworthy	trustworthy	ADJ
cana-3828	110	56	.	.	PUNCT
cana-3828	111	1	explore	explore	VERB
cana-3828	111	2	the	the	DET
cana-3828	111	3	application	application	NOUN
cana-3828	111	4	of	of	ADP
cana-3828	111	5	explainable	explainable	ADJ
cana-3828	111	6	ai	ai	NOUN
cana-3828	111	7	in	in	ADP
cana-3828	111	8	high	high	ADJ
cana-3828	111	9	-	-	PUNCT
cana-3828	111	10	risk	risk	NOUN
cana-3828	111	11	environments	environment	NOUN
cana-3828	111	12	where	where	SCONJ
cana-3828	111	13	transparency	transparency	NOUN
cana-3828	111	14	is	be	AUX
cana-3828	111	15	essential	essential	ADJ
cana-3828	111	16	.	.	PUNCT
cana-3828	112	1	while	while	SCONJ
cana-3828	112	2	interpretable	interpretable	ADJ
cana-3828	112	3	,	,	PUNCT
cana-3828	112	4	models	model	NOUN
cana-3828	112	5	like	like	ADP
cana-3828	112	6	xai	xai	PROPN
cana-3828	112	7	often	often	ADV
cana-3828	112	8	trade	trade	VERB
cana-3828	112	9	-	-	PUNCT
cana-3828	112	10	off	off	ADP
cana-3828	112	11	accuracy	accuracy	NOUN
cana-3828	112	12	and	and	CCONJ
cana-3828	112	13	efficiency	efficiency	NOUN
cana-3828	112	14	.	.	PUNCT
cana-3828	113	1	bailey	bailey	PROPN
cana-3828	113	2	and	and	CCONJ
cana-3828	113	3	martinez	martinez	PROPN
cana-3828	113	4	supervised	supervise	VERB
cana-3828	113	5	vs.	vs.	ADP
cana-3828	113	6	unsupervised	unsupervised	ADJ
cana-3828	113	7	learning	learning	NOUN
cana-3828	113	8	for	for	ADP
cana-3828	113	9	ransomware	ransomware	NOUN
cana-3828	113	10	detection	detection	NOUN
cana-3828	113	11	(	(	PUNCT
cana-3828	113	12	2023	2023	NUM
cana-3828	113	13	)	)	PUNCT
cana-3828	113	14	compared	compare	VERB
cana-3828	113	15	supervised	supervised	ADJ
cana-3828	113	16	and	and	CCONJ
cana-3828	113	17	unsupervised	unsupervised	ADJ
cana-3828	113	18	learning	learning	NOUN
cana-3828	113	19	approaches	approach	NOUN
cana-3828	113	20	,	,	PUNCT
cana-3828	113	21	finding	find	VERB
cana-3828	113	22	that	that	PRON
cana-3828	113	23	explore	explore	VERB
cana-3828	113	24	semisupervised	semisupervise	VERB
cana-3828	113	25	techniques	technique	NOUN
cana-3828	113	26	to	to	PART
cana-3828	113	27	combine	combine	VERB
cana-3828	113	28	the	the	DET
cana-3828	113	29	strengths	strength	NOUN
cana-3828	113	30	of	of	ADP
cana-3828	113	31	both	both	CCONJ
cana-3828	113	32	unsupervised	unsupervised	ADJ
cana-3828	113	33	methods	method	NOUN
cana-3828	113	34	performed	perform	VERB
cana-3828	113	35	poorly	poorly	ADV
cana-3828	113	36	without	without	ADP
cana-3828	113	37	labelled	label	VERB
cana-3828	113	38	data	datum	NOUN
cana-3828	113	39	,	,	PUNCT
cana-3828	113	40	limiting	limit	VERB
cana-3828	113	41	their	their	PRON
cana-3828	113	42	communications	communication	NOUN
cana-3828	113	43	on	on	ADP
cana-3828	113	44	applied	apply	VERB
cana-3828	113	45	nonlinear	nonlinear	ADJ
cana-3828	113	46	analysis	analysis	NOUN
cana-3828	113	47	issn	issn	NOUN
cana-3828	113	48	:	:	PUNCT
cana-3828	113	49	1074	1074	NUM
cana-3828	113	50	-	-	PUNCT
cana-3828	113	51	133x	133x	NUM
cana-3828	113	52	vol	vol	NOUN
cana-3828	113	53	32	32	NUM
cana-3828	113	54	no	no	NOUN
cana-3828	113	55	.	.	PUNCT
cana-3828	114	1	8s	8s	PROPN
cana-3828	114	2	(	(	PUNCT
cana-3828	114	3	2025	2025	NUM
cana-3828	114	4	)	)	PUNCT
cana-3828	114	5	874	874	NUM
cana-3828	115	1	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3828	115	2	supervised	supervise	VERB
cana-3828	115	3	learning	learning	NOUN
cana-3828	115	4	outperformed	outperform	VERB
cana-3828	115	5	unsupervised	unsupervised	ADJ
cana-3828	115	6	in	in	ADP
cana-3828	115	7	detecting	detect	VERB
cana-3828	115	8	ransomware	ransomware	NOUN
cana-3828	115	9	.	.	PUNCT
cana-3828	116	1	supervised	supervised	ADJ
cana-3828	116	2	and	and	CCONJ
cana-3828	116	3	unsupervised	unsupervised	ADJ
cana-3828	116	4	methods	method	NOUN
cana-3828	116	5	.	.	PUNCT
cana-3828	117	1	effectiveness	effectiveness	NOUN
cana-3828	117	2	in	in	ADP
cana-3828	117	3	some	some	DET
cana-3828	117	4	scenarios	scenario	NOUN
cana-3828	117	5	.	.	PUNCT
cana-3828	118	1	arora	arora	PROPN
cana-3828	118	2	and	and	CCONJ
cana-3828	118	3	banerjee	banerjee	PROPN
cana-3828	118	4	reinforcement	reinforcement	NOUN
cana-3828	118	5	learning	learning	NOUN
cana-3828	118	6	for	for	ADP
cana-3828	118	7	dynamic	dynamic	ADJ
cana-3828	118	8	ransomware	ransomware	NOUN
cana-3828	118	9	detection	detection	NOUN
cana-3828	118	10	(	(	PUNCT
cana-3828	118	11	2021	2021	NUM
cana-3828	118	12	)	)	PUNCT
cana-3828	118	13	investigated	investigate	VERB
cana-3828	118	14	reinforcement	reinforcement	NOUN
cana-3828	118	15	learning	learning	NOUN
cana-3828	118	16	techniques	technique	NOUN
cana-3828	118	17	for	for	ADP
cana-3828	118	18	dynamic	dynamic	ADJ
cana-3828	118	19	ransomware	ransomware	NOUN
cana-3828	118	20	detection	detection	NOUN
cana-3828	118	21	,	,	PUNCT
cana-3828	118	22	focusing	focus	VERB
cana-3828	118	23	on	on	ADP
cana-3828	118	24	adaptive	adaptive	ADJ
cana-3828	118	25	learning	learning	NOUN
cana-3828	118	26	during	during	ADP
cana-3828	118	27	active	active	ADJ
cana-3828	118	28	attacks	attack	NOUN
cana-3828	118	29	.	.	PUNCT
cana-3828	119	1	incorporate	incorporate	VERB
cana-3828	119	2	reinforcement	reinforcement	NOUN
cana-3828	119	3	learning	learning	NOUN
cana-3828	119	4	into	into	ADP
cana-3828	119	5	a	a	DET
cana-3828	119	6	hybrid	hybrid	ADJ
cana-3828	119	7	system	system	NOUN
cana-3828	119	8	that	that	PRON
cana-3828	119	9	also	also	ADV
cana-3828	119	10	utilizes	utilize	VERB
cana-3828	119	11	static	static	ADJ
cana-3828	119	12	analysis	analysis	NOUN
cana-3828	119	13	and	and	CCONJ
cana-3828	119	14	supervised	supervised	ADJ
cana-3828	119	15	learning	learning	NOUN
cana-3828	119	16	.	.	PUNCT
cana-3828	120	1	requires	require	VERB
cana-3828	120	2	significant	significant	ADJ
cana-3828	120	3	tuning	tuning	NOUN
cana-3828	120	4	of	of	ADP
cana-3828	120	5	reward	reward	NOUN
cana-3828	120	6	functions	function	NOUN
cana-3828	120	7	and	and	CCONJ
cana-3828	120	8	environments	environment	NOUN
cana-3828	120	9	for	for	ADP
cana-3828	120	10	effective	effective	ADJ
cana-3828	120	11	learning	learning	NOUN
cana-3828	120	12	,	,	PUNCT
cana-3828	120	13	leading	lead	VERB
cana-3828	120	14	to	to	ADP
cana-3828	120	15	high	high	ADJ
cana-3828	120	16	complexity	complexity	NOUN
cana-3828	120	17	.	.	PUNCT
cana-3828	121	1	o'brien	o'brien	PROPN
cana-3828	121	2	and	and	CCONJ
cana-3828	121	3	shah	shah	NOUN
cana-3828	121	4	transfer	transfer	NOUN
cana-3828	121	5	learning	learning	NOUN
cana-3828	121	6	for	for	ADP
cana-3828	121	7	ransomware	ransomware	NOUN
cana-3828	121	8	detection	detection	NOUN
cana-3828	121	9	(	(	PUNCT
cana-3828	121	10	2022	2022	NUM
cana-3828	121	11	)	)	PUNCT
cana-3828	121	12	applied	apply	VERB
cana-3828	121	13	transfer	transfer	NOUN
cana-3828	121	14	learning	learn	VERB
cana-3828	121	15	to	to	PART
cana-3828	121	16	improve	improve	VERB
cana-3828	121	17	ransomware	ransomware	NOUN
cana-3828	121	18	detection	detection	NOUN
cana-3828	121	19	in	in	ADP
cana-3828	121	20	different	different	ADJ
cana-3828	121	21	environments	environment	NOUN
cana-3828	121	22	,	,	PUNCT
cana-3828	121	23	reducing	reduce	VERB
cana-3828	121	24	training	training	NOUN
cana-3828	121	25	data	datum	NOUN
cana-3828	121	26	requirements	requirement	NOUN
cana-3828	121	27	.	.	PUNCT
cana-3828	122	1	extend	extend	VERB
cana-3828	122	2	transfer	transfer	NOUN
cana-3828	122	3	learning	learn	VERB
cana-3828	122	4	techniques	technique	NOUN
cana-3828	122	5	to	to	PART
cana-3828	122	6	handle	handle	VERB
cana-3828	122	7	zero	zero	NUM
cana-3828	122	8	-	-	PUNCT
cana-3828	122	9	day	day	NOUN
cana-3828	122	10	ransomware	ransomware	NOUN
cana-3828	122	11	and	and	CCONJ
cana-3828	122	12	adapt	adapt	VERB
cana-3828	122	13	to	to	ADP
cana-3828	122	14	new	new	ADJ
cana-3828	122	15	attack	attack	NOUN
cana-3828	122	16	patterns	pattern	NOUN
cana-3828	122	17	more	more	ADV
cana-3828	122	18	quickly	quickly	ADV
cana-3828	122	19	.	.	PUNCT
cana-3828	123	1	limited	limited	ADJ
cana-3828	123	2	effectiveness	effectiveness	NOUN
cana-3828	123	3	when	when	SCONJ
cana-3828	123	4	handling	handle	VERB
cana-3828	123	5	highly	highly	ADV
cana-3828	123	6	varied	varied	ADJ
cana-3828	123	7	datasets	dataset	NOUN
cana-3828	123	8	across	across	ADP
cana-3828	123	9	different	different	ADJ
cana-3828	123	10	domains	domain	NOUN
cana-3828	123	11	.	.	PUNCT
cana-3828	124	1	rana	rana	PROPN
cana-3828	124	2	,	,	PUNCT
cana-3828	124	3	desai	desai	PROPN
cana-3828	124	4	,	,	PUNCT
cana-3828	124	5	and	and	CCONJ
cana-3828	124	6	mahajan	mahajan	PROPN
cana-3828	124	7	gradient	gradient	PROPN
cana-3828	124	8	boosting	boost	VERB
cana-3828	124	9	approach	approach	NOUN
cana-3828	124	10	to	to	ADP
cana-3828	124	11	ransomware	ransomware	NOUN
cana-3828	124	12	detection	detection	NOUN
cana-3828	124	13	(	(	PUNCT
cana-3828	124	14	2023	2023	NUM
cana-3828	124	15	)	)	PUNCT
cana-3828	124	16	.	.	PUNCT
cana-3828	125	1	applied	apply	VERB
cana-3828	125	2	gradient	gradient	ADJ
cana-3828	125	3	boosting	boost	VERB
cana-3828	125	4	machines	machine	NOUN
cana-3828	125	5	(	(	PUNCT
cana-3828	125	6	gbm	gbm	PROPN
cana-3828	125	7	)	)	PUNCT
cana-3828	125	8	for	for	ADP
cana-3828	125	9	detecting	detect	VERB
cana-3828	125	10	polymorphic	polymorphic	ADJ
cana-3828	125	11	ransomware	ransomware	NOUN
cana-3828	125	12	,	,	PUNCT
cana-3828	125	13	achieving	achieve	VERB
cana-3828	125	14	98.7	98.7	NUM
cana-3828	125	15	%	%	NOUN
cana-3828	125	16	accuracy	accuracy	NOUN
cana-3828	125	17	.	.	PUNCT
cana-3828	126	1	expand	expand	VERB
cana-3828	126	2	model	model	NOUN
cana-3828	126	3	to	to	PART
cana-3828	126	4	address	address	VERB
cana-3828	126	5	adversarial	adversarial	ADJ
cana-3828	126	6	ransomware	ransomware	NOUN
cana-3828	126	7	that	that	PRON
cana-3828	126	8	intentionally	intentionally	ADV
cana-3828	126	9	manipulates	manipulate	VERB
cana-3828	126	10	features	feature	NOUN
cana-3828	126	11	to	to	PART
cana-3828	126	12	evade	evade	VERB
cana-3828	126	13	detection	detection	NOUN
cana-3828	126	14	.	.	PUNCT
cana-3828	127	1	higher	high	ADJ
cana-3828	127	2	training	training	NOUN
cana-3828	127	3	time	time	NOUN
cana-3828	127	4	and	and	CCONJ
cana-3828	127	5	complexity	complexity	NOUN
cana-3828	127	6	;	;	PUNCT
cana-3828	127	7	limited	limited	ADJ
cana-3828	127	8	dataset	dataset	NOUN
cana-3828	127	9	size	size	NOUN
cana-3828	127	10	.	.	PUNCT
cana-3828	128	1	davies	davy	NOUN
cana-3828	128	2	and	and	CCONJ
cana-3828	128	3	clarke	clarke	PROPN
cana-3828	128	4	ensemble	ensemble	ADJ
cana-3828	128	5	learning	learning	NOUN
cana-3828	128	6	techniques	technique	NOUN
cana-3828	128	7	for	for	ADP
cana-3828	128	8	cloud	cloud	NOUN
cana-3828	128	9	-	-	PUNCT
cana-3828	128	10	based	base	VERB
cana-3828	128	11	ransomware	ransomware	NOUN
cana-3828	128	12	detection	detection	NOUN
cana-3828	128	13	(	(	PUNCT
cana-3828	128	14	2021	2021	NUM
cana-3828	128	15	)	)	PUNCT
cana-3828	128	16	used	use	VERB
cana-3828	128	17	ensemble	ensemble	ADJ
cana-3828	128	18	learning	learning	NOUN
cana-3828	128	19	(	(	PUNCT
cana-3828	128	20	including	include	VERB
cana-3828	128	21	gbm	gbm	NOUN
cana-3828	128	22	and	and	CCONJ
cana-3828	128	23	random	random	ADJ
cana-3828	128	24	forest	forest	NOUN
cana-3828	128	25	)	)	PUNCT
cana-3828	128	26	for	for	ADP
cana-3828	128	27	ransomware	ransomware	NOUN
cana-3828	128	28	detection	detection	NOUN
cana-3828	128	29	in	in	ADP
cana-3828	128	30	cloud	cloud	NOUN
cana-3828	128	31	systems	system	NOUN
cana-3828	128	32	with	with	ADP
cana-3828	128	33	98.5	98.5	NUM
cana-3828	128	34	%	%	NOUN
cana-3828	128	35	accuracy	accuracy	NOUN
cana-3828	128	36	.	.	PUNCT
cana-3828	129	1	introduce	introduce	VERB
cana-3828	129	2	unsupervised	unsupervised	ADJ
cana-3828	129	3	learning	learning	NOUN
cana-3828	129	4	to	to	PART
cana-3828	129	5	detect	detect	VERB
cana-3828	129	6	unknown	unknown	ADJ
cana-3828	129	7	variants	variant	NOUN
cana-3828	129	8	and	and	CCONJ
cana-3828	129	9	adapt	adapt	VERB
cana-3828	129	10	models	model	NOUN
cana-3828	129	11	to	to	ADP
cana-3828	129	12	cloud	cloud	NOUN
cana-3828	129	13	-	-	PUNCT
cana-3828	129	14	native	native	ADJ
cana-3828	129	15	ransomware	ransomware	NOUN
cana-3828	129	16	.	.	PUNCT
cana-3828	130	1	limited	limit	VERB
cana-3828	130	2	to	to	ADP
cana-3828	130	3	cloud	cloud	NOUN
cana-3828	130	4	environments	environment	NOUN
cana-3828	130	5	and	and	CCONJ
cana-3828	130	6	specific	specific	ADJ
cana-3828	130	7	dataset	dataset	NOUN
cana-3828	130	8	features	feature	NOUN
cana-3828	130	9	.	.	PUNCT
cana-3828	131	1	nandini	nandini	PROPN
cana-3828	131	2	and	and	CCONJ
cana-3828	131	3	srinivas	srinivas	PROPN
cana-3828	131	4	unsupervised	unsupervised	ADJ
cana-3828	131	5	learning	learning	NOUN
cana-3828	131	6	for	for	ADP
cana-3828	131	7	ransomware	ransomware	NOUN
cana-3828	131	8	detection	detection	NOUN
cana-3828	131	9	(	(	PUNCT
cana-3828	131	10	2020	2020	NUM
cana-3828	131	11	)	)	PUNCT
cana-3828	131	12	investigated	investigate	VERB
cana-3828	131	13	unsupervised	unsupervised	ADJ
cana-3828	131	14	learning	learning	NOUN
cana-3828	131	15	for	for	ADP
cana-3828	131	16	detecting	detect	VERB
cana-3828	131	17	unknown	unknown	ADJ
cana-3828	131	18	integrate	integrate	VERB
cana-3828	131	19	unsupervised	unsupervised	ADJ
cana-3828	131	20	techniques	technique	NOUN
cana-3828	131	21	with	with	ADP
cana-3828	131	22	supervised	supervised	ADJ
cana-3828	131	23	lower	low	ADJ
cana-3828	131	24	detection	detection	NOUN
cana-3828	131	25	rates	rate	NOUN
cana-3828	131	26	for	for	ADP
cana-3828	131	27	specific	specific	ADJ
cana-3828	131	28	ransomware	ransomware	NOUN
cana-3828	131	29	types	type	NOUN
cana-3828	131	30	communications	communication	NOUN
cana-3828	131	31	on	on	ADP
cana-3828	131	32	applied	apply	VERB
cana-3828	131	33	nonlinear	nonlinear	ADJ
cana-3828	131	34	analysis	analysis	NOUN
cana-3828	131	35	issn	issn	NOUN
cana-3828	131	36	:	:	PUNCT
cana-3828	131	37	1074	1074	NUM
cana-3828	131	38	-	-	PUNCT
cana-3828	131	39	133x	133x	NUM
cana-3828	131	40	vol	vol	NOUN
cana-3828	131	41	32	32	NUM
cana-3828	131	42	no	no	NOUN
cana-3828	131	43	.	.	PUNCT
cana-3828	132	1	8s	8s	PROPN
cana-3828	132	2	(	(	PUNCT
cana-3828	132	3	2025	2025	NUM
cana-3828	132	4	)	)	PUNCT
cana-3828	132	5	875	875	NUM
cana-3828	132	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	132	7	3	3	X
cana-3828	132	8	.	.	PUNCT
cana-3828	132	9	dataset	dataset	ADJ
cana-3828	132	10	preparation	preparation	NOUN
cana-3828	132	11	the	the	DET
cana-3828	132	12	dataset	dataset	NOUN
cana-3828	132	13	,	,	PUNCT
cana-3828	132	14	sourced	source	VERB
cana-3828	132	15	from	from	ADP
cana-3828	132	16	kaggle	kaggle	PROPN
cana-3828	132	17	,	,	PUNCT
cana-3828	132	18	contains	contain	VERB
cana-3828	132	19	62,485	62,485	NUM
cana-3828	132	20	samples	sample	NOUN
cana-3828	132	21	with	with	ADP
cana-3828	132	22	17	17	NUM
cana-3828	132	23	features	feature	NOUN
cana-3828	132	24	related	relate	VERB
cana-3828	132	25	to	to	PART
cana-3828	132	26	file	file	VERB
cana-3828	132	27	and	and	CCONJ
cana-3828	132	28	system	system	NOUN
cana-3828	132	29	characteristics	characteristic	NOUN
cana-3828	132	30	.	.	PUNCT
cana-3828	133	1	each	each	DET
cana-3828	133	2	sample	sample	NOUN
cana-3828	133	3	is	be	AUX
cana-3828	133	4	labelled	label	VERB
cana-3828	133	5	either	either	CCONJ
cana-3828	133	6	benign	benign	ADJ
cana-3828	133	7	(	(	PUNCT
cana-3828	133	8	1	1	NUM
cana-3828	133	9	)	)	PUNCT
cana-3828	133	10	or	or	CCONJ
cana-3828	133	11	ransomware	ransomware	NOUN
cana-3828	133	12	(	(	PUNCT
cana-3828	133	13	0	0	NUM
cana-3828	133	14	)	)	PUNCT
cana-3828	133	15	,	,	PUNCT
cana-3828	133	16	indicating	indicate	VERB
cana-3828	133	17	the	the	DET
cana-3828	133	18	nature	nature	NOUN
cana-3828	133	19	of	of	ADP
cana-3828	133	20	the	the	DET
cana-3828	133	21	file	file	NOUN
cana-3828	133	22	or	or	CCONJ
cana-3828	133	23	activity	activity	NOUN
cana-3828	133	24	.	.	PUNCT
cana-3828	134	1	the	the	DET
cana-3828	134	2	features	feature	NOUN
cana-3828	134	3	in	in	ADP
cana-3828	134	4	the	the	DET
cana-3828	134	5	dataset	dataset	NOUN
cana-3828	134	6	provide	provide	VERB
cana-3828	134	7	critical	critical	ADJ
cana-3828	134	8	insights	insight	NOUN
cana-3828	134	9	into	into	ADP
cana-3828	134	10	system	system	NOUN
cana-3828	134	11	behaviour	behaviour	NOUN
cana-3828	134	12	and	and	CCONJ
cana-3828	134	13	characteristics	characteristic	NOUN
cana-3828	134	14	that	that	PRON
cana-3828	134	15	are	be	AUX
cana-3828	134	16	leveraged	leverage	VERB
cana-3828	134	17	by	by	ADP
cana-3828	134	18	machine	machine	NOUN
cana-3828	134	19	learning	learning	NOUN
cana-3828	134	20	models	model	NOUN
cana-3828	134	21	for	for	ADP
cana-3828	134	22	classification	classification	NOUN
cana-3828	134	23	.	.	PUNCT
cana-3828	135	1	the	the	DET
cana-3828	135	2	filename	filename	NOUN
cana-3828	135	3	and	and	CCONJ
cana-3828	135	4	md5hash	md5hash	NOUN
cana-3828	135	5	columns	column	NOUN
cana-3828	135	6	are	be	AUX
cana-3828	135	7	dropped	drop	VERB
cana-3828	135	8	,	,	PUNCT
cana-3828	135	9	as	as	SCONJ
cana-3828	135	10	they	they	PRON
cana-3828	135	11	are	be	AUX
cana-3828	135	12	identifiers	identifier	NOUN
cana-3828	135	13	and	and	CCONJ
cana-3828	135	14	do	do	AUX
cana-3828	135	15	not	not	PART
cana-3828	135	16	contribute	contribute	VERB
cana-3828	135	17	to	to	ADP
cana-3828	135	18	ransomware	ransomware	NOUN
cana-3828	135	19	detection	detection	NOUN
cana-3828	135	20	.	.	PUNCT
cana-3828	136	1	categorical	categorical	ADJ
cana-3828	136	2	variables	variable	NOUN
cana-3828	136	3	such	such	ADJ
cana-3828	136	4	as	as	ADP
cana-3828	136	5	machine	machine	NOUN
cana-3828	136	6	,	,	PUNCT
cana-3828	136	7	bitcoin	bitcoin	NOUN
cana-3828	136	8	addresses	address	NOUN
cana-3828	136	9	,	,	PUNCT
cana-3828	136	10	and	and	CCONJ
cana-3828	136	11	other	other	ADJ
cana-3828	136	12	relevant	relevant	ADJ
cana-3828	136	13	features	feature	NOUN
cana-3828	136	14	are	be	AUX
cana-3828	136	15	encoded	encode	VERB
cana-3828	136	16	into	into	ADP
cana-3828	136	17	numeric	numeric	ADJ
cana-3828	136	18	values	value	NOUN
cana-3828	136	19	using	use	VERB
cana-3828	136	20	label	label	NOUN
cana-3828	136	21	encoding	encoding	NOUN
cana-3828	136	22	.	.	PUNCT
cana-3828	137	1	duplicate	duplicate	NOUN
cana-3828	137	2	rows	row	NOUN
cana-3828	137	3	are	be	AUX
cana-3828	137	4	removed	remove	VERB
cana-3828	137	5	to	to	PART
cana-3828	137	6	ensure	ensure	VERB
cana-3828	137	7	data	datum	NOUN
cana-3828	137	8	quality	quality	NOUN
cana-3828	137	9	and	and	CCONJ
cana-3828	137	10	integrity	integrity	NOUN
cana-3828	137	11	.	.	PUNCT
cana-3828	138	1	ransomware	ransomware	NOUN
cana-3828	138	2	variants	variant	NOUN
cana-3828	138	3	,	,	PUNCT
cana-3828	138	4	using	use	VERB
cana-3828	138	5	clustering	clustering	ADJ
cana-3828	138	6	algorithms	algorithm	NOUN
cana-3828	138	7	for	for	ADP
cana-3828	138	8	anomaly	anomaly	NOUN
cana-3828	138	9	detection	detection	NOUN
cana-3828	138	10	.	.	PUNCT
cana-3828	139	1	models	model	NOUN
cana-3828	139	2	to	to	PART
cana-3828	139	3	enhance	enhance	VERB
cana-3828	139	4	detection	detection	NOUN
cana-3828	139	5	across	across	ADP
cana-3828	139	6	a	a	DET
cana-3828	139	7	wider	wide	ADJ
cana-3828	139	8	range	range	NOUN
cana-3828	139	9	of	of	ADP
cana-3828	139	10	threats	threat	NOUN
cana-3828	139	11	.	.	PUNCT
cana-3828	140	1	due	due	ADP
cana-3828	140	2	to	to	ADP
cana-3828	140	3	lack	lack	NOUN
cana-3828	140	4	of	of	ADP
cana-3828	140	5	labelled	label	VERB
cana-3828	140	6	data	data	PROPN
cana-3828	140	7	amjad	amjad	PROPN
cana-3828	140	8	alraizza	alraizza	PROPN
cana-3828	140	9	and	and	CCONJ
cana-3828	140	10	abdulmohsen	abdulmohsen	VERB
cana-3828	140	11	algarni	algarni	ADJ
cana-3828	140	12	rnsomware	rnsomware	ADJ
cana-3828	140	13	detection	detection	NOUN
cana-3828	140	14	using	use	VERB
cana-3828	140	15	machine	machine	NOUN
cana-3828	140	16	learning	learning	NOUN
cana-3828	140	17	:	:	PUNCT
cana-3828	140	18	a	a	DET
cana-3828	140	19	survey(2023	survey(2023	NOUN
cana-3828	140	20	)	)	PUNCT
cana-3828	140	21	an	an	DET
cana-3828	140	22	overview	overview	NOUN
cana-3828	140	23	of	of	ADP
cana-3828	140	24	ransomware	ransomware	NOUN
cana-3828	140	25	types	type	NOUN
cana-3828	140	26	and	and	CCONJ
cana-3828	140	27	their	their	PRON
cana-3828	140	28	growing	grow	VERB
cana-3828	140	29	impact	impact	NOUN
cana-3828	140	30	.	.	PUNCT
cana-3828	141	1	a	a	DET
cana-3828	141	2	review	review	NOUN
cana-3828	141	3	of	of	ADP
cana-3828	141	4	machine	machine	NOUN
cana-3828	141	5	learning	learn	VERB
cana-3828	141	6	techniques	technique	NOUN
cana-3828	141	7	applied	apply	VERB
cana-3828	141	8	for	for	ADP
cana-3828	141	9	ransomware	ransomware	NOUN
cana-3828	141	10	detection	detection	NOUN
cana-3828	141	11	,	,	PUNCT
cana-3828	141	12	summarizing	summarize	VERB
cana-3828	141	13	various	various	ADJ
cana-3828	141	14	research	research	NOUN
cana-3828	141	15	works	work	NOUN
cana-3828	141	16	and	and	CCONJ
cana-3828	141	17	proposing	propose	VERB
cana-3828	141	18	future	future	ADJ
cana-3828	141	19	directions	direction	NOUN
cana-3828	141	20	for	for	ADP
cana-3828	141	21	enhancing	enhance	VERB
cana-3828	141	22	detection	detection	NOUN
cana-3828	141	23	accuracy	accuracy	NOUN
cana-3828	141	24	using	use	VERB
cana-3828	141	25	aibased	aibased	ADJ
cana-3828	141	26	methods	method	NOUN
cana-3828	141	27	.	.	PUNCT
cana-3828	142	1	discussions	discussion	NOUN
cana-3828	142	2	about	about	ADP
cana-3828	142	3	datasets	dataset	NOUN
cana-3828	142	4	,	,	PUNCT
cana-3828	142	5	performance	performance	NOUN
cana-3828	142	6	evaluation	evaluation	NOUN
cana-3828	142	7	metrics	metric	NOUN
cana-3828	142	8	,	,	PUNCT
cana-3828	142	9	and	and	CCONJ
cana-3828	142	10	challenges	challenge	NOUN
cana-3828	142	11	in	in	ADP
cana-3828	142	12	the	the	DET
cana-3828	142	13	field	field	NOUN
cana-3828	142	14	of	of	ADP
cana-3828	142	15	ransomware	ransomware	NOUN
cana-3828	142	16	detection	detection	NOUN
cana-3828	142	17	,	,	PUNCT
cana-3828	142	18	such	such	ADJ
cana-3828	142	19	as	as	ADP
cana-3828	142	20	the	the	DET
cana-3828	142	21	scarcity	scarcity	NOUN
cana-3828	142	22	of	of	ADP
cana-3828	142	23	realworld	realworld	PROPN
cana-3828	142	24	ransomware	ransomware	NOUN
cana-3828	142	25	datasets	dataset	NOUN
cana-3828	142	26	.	.	PUNCT
cana-3828	143	1	developing	develop	VERB
cana-3828	143	2	more	more	ADV
cana-3828	143	3	robust	robust	ADJ
cana-3828	143	4	and	and	CCONJ
cana-3828	143	5	accurate	accurate	ADJ
cana-3828	143	6	models	model	NOUN
cana-3828	143	7	to	to	PART
cana-3828	143	8	detect	detect	VERB
cana-3828	143	9	a	a	DET
cana-3828	143	10	broader	broad	ADJ
cana-3828	143	11	range	range	NOUN
cana-3828	143	12	of	of	ADP
cana-3828	143	13	ransomware	ransomware	NOUN
cana-3828	143	14	variants	variant	NOUN
cana-3828	143	15	.	.	PUNCT
cana-3828	144	1	incorporating	incorporate	VERB
cana-3828	144	2	real	real	ADJ
cana-3828	144	3	-	-	PUNCT
cana-3828	144	4	time	time	NOUN
cana-3828	144	5	detection	detection	NOUN
cana-3828	144	6	capabilities	capability	NOUN
cana-3828	144	7	to	to	PART
cana-3828	144	8	minimize	minimize	VERB
cana-3828	144	9	damage	damage	NOUN
cana-3828	144	10	.	.	PUNCT
cana-3828	145	1	enhancing	enhance	VERB
cana-3828	145	2	model	model	NOUN
cana-3828	145	3	robustness	robustness	NOUN
cana-3828	145	4	against	against	ADP
cana-3828	145	5	adversarial	adversarial	ADJ
cana-3828	145	6	attacks	attack	NOUN
cana-3828	145	7	.	.	PUNCT
cana-3828	146	1	improving	improve	VERB
cana-3828	146	2	collaboration	collaboration	NOUN
cana-3828	146	3	and	and	CCONJ
cana-3828	146	4	data	datum	NOUN
cana-3828	146	5	sharing	sharing	NOUN
cana-3828	146	6	between	between	ADP
cana-3828	146	7	researchers	researcher	NOUN
cana-3828	146	8	to	to	PART
cana-3828	146	9	enhance	enhance	VERB
cana-3828	146	10	detection	detection	NOUN
cana-3828	146	11	models	model	NOUN
cana-3828	146	12	.	.	PUNCT
cana-3828	147	1	a	a	DET
cana-3828	147	2	lack	lack	NOUN
cana-3828	147	3	of	of	ADP
cana-3828	147	4	realworld	realworld	PROPN
cana-3828	147	5	datasets	dataset	NOUN
cana-3828	147	6	for	for	ADP
cana-3828	147	7	ransomware	ransomware	NOUN
cana-3828	147	8	detection	detection	NOUN
cana-3828	147	9	,	,	PUNCT
cana-3828	147	10	leading	lead	VERB
cana-3828	147	11	to	to	ADP
cana-3828	147	12	difficulties	difficulty	NOUN
cana-3828	147	13	in	in	ADP
cana-3828	147	14	building	building	NOUN
cana-3828	147	15	and	and	CCONJ
cana-3828	147	16	evaluating	evaluate	VERB
cana-3828	147	17	robust	robust	ADJ
cana-3828	147	18	models	model	NOUN
cana-3828	147	19	.	.	PUNCT
cana-3828	148	1	the	the	DET
cana-3828	148	2	challenge	challenge	NOUN
cana-3828	148	3	of	of	ADP
cana-3828	148	4	evolving	evolve	VERB
cana-3828	148	5	ransomware	ransomware	NOUN
cana-3828	148	6	,	,	PUNCT
cana-3828	148	7	which	which	PRON
cana-3828	148	8	necessitates	necessitate	VERB
cana-3828	148	9	continuous	continuous	ADJ
cana-3828	148	10	updating	updating	NOUN
cana-3828	148	11	of	of	ADP
cana-3828	148	12	models	model	NOUN
cana-3828	148	13	to	to	PART
cana-3828	148	14	detect	detect	VERB
cana-3828	148	15	newer	new	ADJ
cana-3828	148	16	variants	variant	NOUN
cana-3828	148	17	.	.	PUNCT
cana-3828	149	1	the	the	DET
cana-3828	149	2	need	need	NOUN
cana-3828	149	3	for	for	ADP
cana-3828	149	4	realtime	realtime	NOUN
cana-3828	149	5	detection	detection	NOUN
cana-3828	149	6	and	and	CCONJ
cana-3828	149	7	reducing	reduce	VERB
cana-3828	149	8	false	false	ADJ
cana-3828	149	9	positives	positive	NOUN
cana-3828	149	10	remains	remain	VERB
cana-3828	149	11	a	a	DET
cana-3828	149	12	difficult	difficult	ADJ
cana-3828	149	13	task	task	NOUN
cana-3828	149	14	.	.	PUNCT
cana-3828	150	1	communications	communication	NOUN
cana-3828	150	2	on	on	ADP
cana-3828	150	3	applied	apply	VERB
cana-3828	150	4	nonlinear	nonlinear	ADJ
cana-3828	150	5	analysis	analysis	NOUN
cana-3828	150	6	issn	issn	NOUN
cana-3828	150	7	:	:	PUNCT
cana-3828	150	8	1074	1074	NUM
cana-3828	150	9	-	-	PUNCT
cana-3828	150	10	133x	133x	NUM
cana-3828	150	11	vol	vol	NOUN
cana-3828	150	12	32	32	NUM
cana-3828	150	13	no	no	NOUN
cana-3828	150	14	.	.	PUNCT
cana-3828	151	1	8s	8s	PROPN
cana-3828	151	2	(	(	PUNCT
cana-3828	151	3	2025	2025	NUM
cana-3828	151	4	)	)	PUNCT
cana-3828	151	5	876	876	NUM
cana-3828	151	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	151	7	for	for	ADP
cana-3828	151	8	logistic	logistic	ADJ
cana-3828	151	9	regression	regression	NOUN
cana-3828	151	10	,	,	PUNCT
cana-3828	151	11	feature	feature	NOUN
cana-3828	151	12	scaling	scaling	NOUN
cana-3828	151	13	is	be	AUX
cana-3828	151	14	applied	apply	VERB
cana-3828	151	15	using	use	VERB
cana-3828	151	16	standard	standard	ADJ
cana-3828	151	17	scaler	scaler	NOUN
cana-3828	151	18	to	to	PART
cana-3828	151	19	normalize	normalize	VERB
cana-3828	151	20	the	the	DET
cana-3828	151	21	data	datum	NOUN
cana-3828	151	22	,	,	PUNCT
cana-3828	151	23	improving	improve	VERB
cana-3828	151	24	the	the	DET
cana-3828	151	25	model	model	NOUN
cana-3828	151	26	’s	’s	PART
cana-3828	151	27	performance	performance	NOUN
cana-3828	151	28	.	.	PUNCT
cana-3828	152	1	the	the	DET
cana-3828	152	2	feature	feature	NOUN
cana-3828	152	3	selection	selection	NOUN
cana-3828	152	4	and	and	CCONJ
cana-3828	152	5	labelling	labelling	NOUN
cana-3828	152	6	divided	divide	VERB
cana-3828	152	7	into	into	ADP
cana-3828	152	8	:	:	PUNCT
cana-3828	152	9	•	•	NUM
cana-3828	152	10	x	x	X
cana-3828	152	11	:	:	PUNCT
cana-3828	152	12	independent	independent	ADJ
cana-3828	152	13	variables	variable	NOUN
cana-3828	152	14	(	(	PUNCT
cana-3828	152	15	all	all	DET
cana-3828	152	16	columns	column	NOUN
cana-3828	152	17	except	except	SCONJ
cana-3828	152	18	benign	benign	NOUN
cana-3828	152	19	)	)	PUNCT
cana-3828	152	20	.	.	PUNCT
cana-3828	153	1	•	•	NUM
cana-3828	154	1	y	y	NOUN
cana-3828	154	2	:	:	PUNCT
cana-3828	154	3	dependent	dependent	ADJ
cana-3828	154	4	variable	variable	NOUN
cana-3828	154	5	(	(	PUNCT
cana-3828	154	6	the	the	DET
cana-3828	154	7	target	target	NOUN
cana-3828	154	8	column	column	NOUN
cana-3828	154	9	benign	benign	NOUN
cana-3828	154	10	)	)	PUNCT
cana-3828	154	11	,	,	PUNCT
cana-3828	154	12	where	where	SCONJ
cana-3828	154	13	1	1	NUM
cana-3828	154	14	indicates	indicate	VERB
cana-3828	154	15	benign	benign	ADJ
cana-3828	154	16	files	file	NOUN
cana-3828	154	17	,	,	PUNCT
cana-3828	154	18	and	and	CCONJ
cana-3828	154	19	0	0	NUM
cana-3828	154	20	indicates	indicate	VERB
cana-3828	154	21	ransomware	ransomware	NOUN
cana-3828	154	22	.	.	PUNCT
cana-3828	155	1	4	4	X
cana-3828	155	2	.	.	NOUN
cana-3828	155	3	model	model	NOUN
cana-3828	155	4	selection	selection	NOUN
cana-3828	155	5	three	three	NUM
cana-3828	155	6	machine	machine	NOUN
cana-3828	155	7	learning	learn	VERB
cana-3828	155	8	algorithms	algorithm	NOUN
cana-3828	155	9	are	be	AUX
cana-3828	155	10	chosen	choose	VERB
cana-3828	155	11	to	to	PART
cana-3828	155	12	compare	compare	VERB
cana-3828	155	13	their	their	PRON
cana-3828	155	14	performance	performance	NOUN
cana-3828	155	15	in	in	ADP
cana-3828	155	16	detecting	detect	VERB
cana-3828	155	17	ransomware	ransomware	NOUN
cana-3828	155	18	:	:	PUNCT
cana-3828	155	19	•	•	NUM
cana-3828	155	20	random	random	ADJ
cana-3828	155	21	forest	forest	NOUN
cana-3828	155	22	(	(	PUNCT
cana-3828	155	23	rf	rf	NOUN
cana-3828	155	24	):	):	PUNCT
cana-3828	155	25	an	an	DET
cana-3828	155	26	ensemble	ensemble	ADJ
cana-3828	155	27	learning	learning	NOUN
cana-3828	155	28	method	method	NOUN
cana-3828	155	29	that	that	PRON
cana-3828	155	30	builds	build	VERB
cana-3828	155	31	multiple	multiple	ADJ
cana-3828	155	32	decision	decision	NOUN
cana-3828	155	33	trees	tree	NOUN
cana-3828	155	34	and	and	CCONJ
cana-3828	155	35	aggregates	aggregate	VERB
cana-3828	155	36	their	their	PRON
cana-3828	155	37	results	result	NOUN
cana-3828	155	38	to	to	PART
cana-3828	155	39	enhance	enhance	VERB
cana-3828	155	40	accuracy	accuracy	NOUN
cana-3828	155	41	and	and	CCONJ
cana-3828	155	42	prevent	prevent	VERB
cana-3828	155	43	overfitting	overfitting	NOUN
cana-3828	155	44	.	.	PUNCT
cana-3828	156	1	random	random	ADJ
cana-3828	156	2	forest	forest	NOUN
cana-3828	156	3	is	be	AUX
cana-3828	156	4	robust	robust	ADJ
cana-3828	156	5	and	and	CCONJ
cana-3828	156	6	can	can	AUX
cana-3828	156	7	handle	handle	VERB
cana-3828	156	8	high	high	ADJ
cana-3828	156	9	-	-	PUNCT
cana-3828	156	10	dimensional	dimensional	ADJ
cana-3828	156	11	data	datum	NOUN
cana-3828	156	12	,	,	PUNCT
cana-3828	156	13	making	make	VERB
cana-3828	156	14	it	it	PRON
cana-3828	156	15	effective	effective	ADJ
cana-3828	156	16	in	in	ADP
cana-3828	156	17	ransomware	ransomware	NOUN
cana-3828	156	18	detection	detection	NOUN
cana-3828	156	19	.	.	PUNCT
cana-3828	157	1	•	•	NUM
cana-3828	157	2	gradient	gradient	NOUN
cana-3828	157	3	boosting	boost	VERB
cana-3828	157	4	machines	machine	NOUN
cana-3828	157	5	(	(	PUNCT
cana-3828	157	6	gbm	gbm	NOUN
cana-3828	157	7	):	):	PUNCT
cana-3828	157	8	another	another	DET
cana-3828	157	9	ensemble	ensemble	ADJ
cana-3828	157	10	method	method	NOUN
cana-3828	157	11	that	that	PRON
cana-3828	157	12	builds	build	VERB
cana-3828	157	13	decision	decision	NOUN
cana-3828	157	14	trees	tree	NOUN
cana-3828	157	15	sequentially	sequentially	ADV
cana-3828	157	16	,	,	PUNCT
cana-3828	157	17	each	each	DET
cana-3828	157	18	tree	tree	NOUN
cana-3828	157	19	correcting	correct	VERB
cana-3828	157	20	the	the	DET
cana-3828	157	21	errors	error	NOUN
cana-3828	157	22	of	of	ADP
cana-3828	157	23	the	the	DET
cana-3828	157	24	previous	previous	ADJ
cana-3828	157	25	ones	one	NOUN
cana-3828	157	26	.	.	PUNCT
cana-3828	158	1	gbm	gbm	NOUN
cana-3828	158	2	excels	excel	NOUN
cana-3828	158	3	in	in	ADP
cana-3828	158	4	capturing	capture	VERB
cana-3828	158	5	complex	complex	ADJ
cana-3828	158	6	patterns	pattern	NOUN
cana-3828	158	7	in	in	ADP
cana-3828	158	8	the	the	DET
cana-3828	158	9	data	datum	NOUN
cana-3828	158	10	,	,	PUNCT
cana-3828	158	11	making	make	VERB
cana-3828	158	12	it	it	PRON
cana-3828	158	13	a	a	DET
cana-3828	158	14	powerful	powerful	ADJ
cana-3828	158	15	model	model	NOUN
cana-3828	158	16	for	for	ADP
cana-3828	158	17	detecting	detect	VERB
cana-3828	158	18	subtle	subtle	ADJ
cana-3828	158	19	ransomware	ransomware	NOUN
cana-3828	158	20	behaviour	behaviour	NOUN
cana-3828	158	21	.	.	PUNCT
cana-3828	159	1	•	•	NUM
cana-3828	159	2	logistic	logistic	ADJ
cana-3828	159	3	regression	regression	NOUN
cana-3828	159	4	(	(	PUNCT
cana-3828	159	5	lr	lr	NOUN
cana-3828	159	6	):	):	PUNCT
cana-3828	159	7	a	a	DET
cana-3828	159	8	simple	simple	ADJ
cana-3828	159	9	,	,	PUNCT
cana-3828	159	10	linear	linear	ADJ
cana-3828	159	11	model	model	NOUN
cana-3828	159	12	that	that	PRON
cana-3828	159	13	predicts	predict	VERB
cana-3828	159	14	the	the	DET
cana-3828	159	15	probability	probability	NOUN
cana-3828	159	16	of	of	ADP
cana-3828	159	17	a	a	DET
cana-3828	159	18	class	class	NOUN
cana-3828	159	19	(	(	PUNCT
cana-3828	159	20	ransomware	ransomware	NOUN
cana-3828	159	21	or	or	CCONJ
cana-3828	159	22	benign	benign	ADJ
cana-3828	159	23	)	)	PUNCT
cana-3828	159	24	.	.	PUNCT
cana-3828	160	1	logistic	logistic	ADJ
cana-3828	160	2	regression	regression	NOUN
cana-3828	160	3	is	be	AUX
cana-3828	160	4	used	use	VERB
cana-3828	160	5	to	to	PART
cana-3828	160	6	evaluate	evaluate	VERB
cana-3828	160	7	how	how	SCONJ
cana-3828	160	8	well	well	ADV
cana-3828	160	9	a	a	DET
cana-3828	160	10	linear	linear	ADJ
cana-3828	160	11	model	model	NOUN
cana-3828	160	12	performs	perform	VERB
cana-3828	160	13	compared	compare	VERB
cana-3828	160	14	to	to	ADP
cana-3828	160	15	non	non	ADJ
cana-3828	160	16	-	-	ADJ
cana-3828	160	17	linear	linear	ADJ
cana-3828	160	18	ensemble	ensemble	ADJ
cana-3828	160	19	models	model	NOUN
cana-3828	160	20	like	like	ADP
cana-3828	160	21	rf	rf	NOUN
cana-3828	160	22	and	and	CCONJ
cana-3828	160	23	gbm	gbm	PROPN
cana-3828	160	24	.	.	PROPN
cana-3828	161	1	5	5	X
cana-3828	161	2	.	.	PUNCT
cana-3828	161	3	model	model	NOUN
cana-3828	161	4	training	training	NOUN
cana-3828	161	5	and	and	CCONJ
cana-3828	161	6	evaluation	evaluation	NOUN
cana-3828	161	7	the	the	DET
cana-3828	161	8	dataset	dataset	NOUN
cana-3828	161	9	is	be	AUX
cana-3828	161	10	split	split	VERB
cana-3828	161	11	into	into	ADP
cana-3828	161	12	80	80	NUM
cana-3828	161	13	%	%	NOUN
cana-3828	161	14	training	training	NOUN
cana-3828	161	15	and	and	CCONJ
cana-3828	161	16	20	20	NUM
cana-3828	161	17	%	%	NOUN
cana-3828	161	18	testing	testing	NOUN
cana-3828	161	19	sets	set	NOUN
cana-3828	161	20	using	use	VERB
cana-3828	161	21	the	the	DET
cana-3828	161	22	train_test_split	train_test_split	ADJ
cana-3828	161	23	function	function	NOUN
cana-3828	161	24	.	.	PUNCT
cana-3828	162	1	each	each	DET
cana-3828	162	2	model	model	NOUN
cana-3828	162	3	is	be	AUX
cana-3828	162	4	trained	train	VERB
cana-3828	162	5	using	use	VERB
cana-3828	162	6	the	the	DET
cana-3828	162	7	training	training	NOUN
cana-3828	162	8	data	datum	NOUN
cana-3828	162	9	and	and	CCONJ
cana-3828	162	10	evaluated	evaluate	VERB
cana-3828	162	11	on	on	ADP
cana-3828	162	12	the	the	DET
cana-3828	162	13	testing	testing	NOUN
cana-3828	162	14	data	datum	NOUN
cana-3828	162	15	.	.	PUNCT
cana-3828	163	1	cross	cross	ADJ
cana-3828	163	2	-	-	ADJ
cana-3828	163	3	validation	validation	ADJ
cana-3828	163	4	(	(	PUNCT
cana-3828	163	5	5	5	NUM
cana-3828	163	6	-	-	NUM
cana-3828	163	7	fold	fold	ADJ
cana-3828	163	8	)	)	PUNCT
cana-3828	163	9	is	be	AUX
cana-3828	163	10	used	use	VERB
cana-3828	163	11	to	to	PART
cana-3828	163	12	assess	assess	VERB
cana-3828	163	13	the	the	DET
cana-3828	163	14	generalization	generalization	NOUN
cana-3828	163	15	of	of	ADP
cana-3828	163	16	each	each	DET
cana-3828	163	17	model	model	NOUN
cana-3828	163	18	.	.	PUNCT
cana-3828	164	1	confusion	confusion	NOUN
cana-3828	164	2	matrices	matrix	NOUN
cana-3828	164	3	are	be	AUX
cana-3828	164	4	plotted	plot	VERB
cana-3828	164	5	for	for	SCONJ
cana-3828	164	6	each	each	DET
cana-3828	164	7	model	model	NOUN
cana-3828	164	8	to	to	PART
cana-3828	164	9	visually	visually	ADV
cana-3828	164	10	demonstrate	demonstrate	VERB
cana-3828	164	11	the	the	DET
cana-3828	164	12	distribution	distribution	NOUN
cana-3828	164	13	of	of	ADP
cana-3828	164	14	true	true	ADJ
cana-3828	164	15	positives	positive	NOUN
cana-3828	164	16	,	,	PUNCT
cana-3828	164	17	true	true	ADJ
cana-3828	164	18	negatives	negative	NOUN
cana-3828	164	19	,	,	PUNCT
cana-3828	164	20	false	false	ADJ
cana-3828	164	21	positives	positive	NOUN
cana-3828	164	22	,	,	PUNCT
cana-3828	164	23	and	and	CCONJ
cana-3828	164	24	false	false	ADJ
cana-3828	164	25	negatives	negative	NOUN
cana-3828	164	26	.	.	PUNCT
cana-3828	165	1	additionally	additionally	ADV
cana-3828	165	2	,	,	PUNCT
cana-3828	165	3	a	a	DET
cana-3828	165	4	bar	bar	NOUN
cana-3828	165	5	chart	chart	NOUN
cana-3828	165	6	is	be	AUX
cana-3828	165	7	used	use	VERB
cana-3828	165	8	to	to	PART
cana-3828	165	9	compare	compare	VERB
cana-3828	165	10	the	the	DET
cana-3828	165	11	mean	mean	ADJ
cana-3828	165	12	cross	cross	ADJ
cana-3828	165	13	-	-	ADJ
cana-3828	165	14	validation	validation	ADJ
cana-3828	165	15	scores	score	NOUN
cana-3828	165	16	of	of	ADP
cana-3828	165	17	the	the	DET
cana-3828	165	18	three	three	NUM
cana-3828	165	19	models	model	NOUN
cana-3828	165	20	.	.	PUNCT
cana-3828	166	1	6	6	X
cana-3828	166	2	.	.	X
cana-3828	166	3	results	result	NOUN
cana-3828	166	4	and	and	CCONJ
cana-3828	166	5	analysis	analysis	NOUN
cana-3828	166	6	the	the	DET
cana-3828	166	7	results	result	NOUN
cana-3828	166	8	obtained	obtain	VERB
cana-3828	166	9	from	from	ADP
cana-3828	166	10	applying	apply	VERB
cana-3828	166	11	three	three	NUM
cana-3828	166	12	machine	machine	NOUN
cana-3828	166	13	learning	learning	NOUN
cana-3828	166	14	models	model	NOUN
cana-3828	166	15	—	—	PUNCT
cana-3828	166	16	random	random	ADJ
cana-3828	166	17	forest	forest	NOUN
cana-3828	166	18	(	(	PUNCT
cana-3828	166	19	rf	rf	NOUN
cana-3828	166	20	)	)	PUNCT
cana-3828	166	21	,	,	PUNCT
cana-3828	166	22	gradient	gradient	ADJ
cana-3828	166	23	boosting	boost	VERB
cana-3828	166	24	machines	machine	NOUN
cana-3828	166	25	(	(	PUNCT
cana-3828	166	26	gbm	gbm	NOUN
cana-3828	166	27	)	)	PUNCT
cana-3828	166	28	,	,	PUNCT
cana-3828	166	29	and	and	CCONJ
cana-3828	166	30	logistic	logistic	ADJ
cana-3828	166	31	regression	regression	NOUN
cana-3828	166	32	(	(	PUNCT
cana-3828	166	33	lr)—for	lr)—for	NOUN
cana-3828	166	34	detecting	detect	VERB
cana-3828	166	35	ransomware	ransomware	NOUN
cana-3828	166	36	attacks	attack	NOUN
cana-3828	166	37	are	be	AUX
cana-3828	166	38	discussed	discuss	VERB
cana-3828	166	39	.	.	PUNCT
cana-3828	167	1	random	random	ADJ
cana-3828	167	2	forest	forest	NOUN
cana-3828	167	3	the	the	DET
cana-3828	167	4	cross	cross	ADJ
cana-3828	167	5	-	-	ADJ
cana-3828	167	6	validation	validation	ADJ
cana-3828	167	7	scores	score	NOUN
cana-3828	167	8	for	for	ADP
cana-3828	167	9	the	the	DET
cana-3828	167	10	random	random	ADJ
cana-3828	167	11	forest	forest	NOUN
cana-3828	167	12	classifier	classifier	NOUN
cana-3828	167	13	show	show	VERB
cana-3828	167	14	excellent	excellent	ADJ
cana-3828	167	15	performance	performance	NOUN
cana-3828	167	16	,	,	PUNCT
cana-3828	167	17	with	with	ADP
cana-3828	167	18	scores	score	NOUN
cana-3828	167	19	of	of	ADP
cana-3828	167	20	0.9942	0.9942	NUM
cana-3828	167	21	,	,	PUNCT
cana-3828	167	22	0.9961	0.9961	NUM
cana-3828	167	23	,	,	PUNCT
cana-3828	167	24	0.9952	0.9952	NUM
cana-3828	167	25	,	,	PUNCT
cana-3828	167	26	0.9966	0.9966	NUM
cana-3828	167	27	,	,	PUNCT
cana-3828	167	28	and	and	CCONJ
cana-3828	167	29	0.9964	0.9964	NUM
cana-3828	167	30	.	.	PUNCT
cana-3828	168	1	the	the	DET
cana-3828	168	2	mean	mean	ADJ
cana-3828	168	3	cross	cross	ADJ
cana-3828	168	4	-	-	ADJ
cana-3828	168	5	validation	validation	ADJ
cana-3828	168	6	accuracy	accuracy	NOUN
cana-3828	168	7	is	be	AUX
cana-3828	168	8	an	an	DET
cana-3828	168	9	impressive	impressive	ADJ
cana-3828	168	10	99.57	99.57	NUM
cana-3828	168	11	%	%	NOUN
cana-3828	168	12	.	.	PUNCT
cana-3828	169	1	the	the	DET
cana-3828	169	2	confusion	confusion	NOUN
cana-3828	169	3	matrix	matrix	NOUN
cana-3828	169	4	provides	provide	VERB
cana-3828	169	5	a	a	DET
cana-3828	169	6	detailed	detailed	ADJ
cana-3828	169	7	breakdown	breakdown	NOUN
cana-3828	169	8	of	of	ADP
cana-3828	169	9	the	the	DET
cana-3828	169	10	classifier	classifier	NOUN
cana-3828	169	11	's	's	PART
cana-3828	169	12	performance	performance	NOUN
cana-3828	169	13	as	as	SCONJ
cana-3828	169	14	shown	show	VERB
cana-3828	169	15	in	in	ADP
cana-3828	169	16	figure	figure	NOUN
cana-3828	169	17	1	1	NUM
cana-3828	169	18	.	.	PUNCT
cana-3828	170	1	the	the	DET
cana-3828	170	2	true	true	ADJ
cana-3828	170	3	negatives	negative	NOUN
cana-3828	170	4	,	,	PUNCT
cana-3828	170	5	which	which	PRON
cana-3828	170	6	represent	represent	VERB
cana-3828	170	7	correctly	correctly	ADV
cana-3828	170	8	classified	classified	ADJ
cana-3828	170	9	benign	benign	ADJ
cana-3828	170	10	files	file	NOUN
cana-3828	170	11	,	,	PUNCT
cana-3828	170	12	total	total	NOUN
cana-3828	170	13	7,094	7,094	NUM
cana-3828	170	14	.	.	PUNCT
cana-3828	171	1	the	the	DET
cana-3828	171	2	false	false	ADJ
cana-3828	171	3	positives	positive	NOUN
cana-3828	171	4	,	,	PUNCT
cana-3828	171	5	where	where	SCONJ
cana-3828	171	6	benign	benign	ADJ
cana-3828	171	7	files	file	NOUN
cana-3828	171	8	are	be	AUX
cana-3828	171	9	misclassified	misclassifie	VERB
cana-3828	171	10	as	as	ADP
cana-3828	171	11	ransomware	ransomware	NOUN
cana-3828	171	12	,	,	PUNCT
cana-3828	171	13	are	be	AUX
cana-3828	171	14	only	only	ADV
cana-3828	171	15	13	13	NUM
cana-3828	171	16	.	.	PUNCT
cana-3828	172	1	the	the	DET
cana-3828	172	2	false	false	ADJ
cana-3828	172	3	negatives	negative	NOUN
cana-3828	172	4	,	,	PUNCT
cana-3828	172	5	where	where	SCONJ
cana-3828	172	6	ransomware	ransomware	NOUN
cana-3828	172	7	is	be	AUX
cana-3828	172	8	misclassified	misclassifie	VERB
cana-3828	172	9	as	as	ADP
cana-3828	172	10	benign	benign	ADJ
cana-3828	172	11	,	,	PUNCT
cana-3828	172	12	are	be	AUX
cana-3828	172	13	27	27	NUM
cana-3828	172	14	.	.	PUNCT
cana-3828	173	1	and	and	CCONJ
cana-3828	173	2	the	the	DET
cana-3828	173	3	true	true	ADJ
cana-3828	173	4	positives	positive	NOUN
cana-3828	173	5	,	,	PUNCT
cana-3828	173	6	correctly	correctly	ADV
cana-3828	173	7	classified	classify	VERB
cana-3828	173	8	ransomware	ransomware	NOUN
cana-3828	173	9	samples	sample	NOUN
cana-3828	173	10	,	,	PUNCT
cana-3828	173	11	total	total	ADJ
cana-3828	173	12	5,363	5,363	NUM
cana-3828	173	13	.	.	PUNCT
cana-3828	174	1	looking	look	VERB
cana-3828	174	2	at	at	ADP
cana-3828	174	3	the	the	DET
cana-3828	174	4	classification	classification	NOUN
cana-3828	174	5	report	report	NOUN
cana-3828	174	6	,	,	PUNCT
cana-3828	174	7	the	the	DET
cana-3828	174	8	precision	precision	NOUN
cana-3828	174	9	for	for	ADP
cana-3828	174	10	both	both	CCONJ
cana-3828	174	11	the	the	DET
cana-3828	174	12	benign	benign	ADJ
cana-3828	174	13	(	(	PUNCT
cana-3828	174	14	class	class	NOUN
cana-3828	174	15	0	0	NUM
cana-3828	174	16	)	)	PUNCT
cana-3828	174	17	and	and	CCONJ
cana-3828	174	18	ransomware	ransomware	NOUN
cana-3828	174	19	(	(	PUNCT
cana-3828	174	20	class	class	NOUN
cana-3828	174	21	1	1	NUM
cana-3828	174	22	)	)	PUNCT
cana-3828	174	23	classes	class	NOUN
cana-3828	174	24	is	be	AUX
cana-3828	174	25	a	a	DET
cana-3828	174	26	perfect	perfect	ADJ
cana-3828	174	27	1.00	1.00	NUM
cana-3828	174	28	,	,	PUNCT
cana-3828	174	29	meaning	mean	VERB
cana-3828	174	30	there	there	PRON
cana-3828	174	31	are	be	VERB
cana-3828	174	32	no	no	DET
cana-3828	174	33	false	false	ADJ
cana-3828	174	34	positives	positive	NOUN
cana-3828	174	35	.	.	PUNCT
cana-3828	175	1	the	the	DET
cana-3828	175	2	recall	recall	NOUN
cana-3828	175	3	for	for	ADP
cana-3828	175	4	the	the	DET
cana-3828	175	5	benign	benign	ADJ
cana-3828	175	6	class	class	NOUN
cana-3828	175	7	is	be	AUX
cana-3828	175	8	also	also	ADV
cana-3828	175	9	1.00	1.00	NUM
cana-3828	175	10	,	,	PUNCT
cana-3828	175	11	indicating	indicate	VERB
cana-3828	175	12	no	no	DET
cana-3828	175	13	false	false	ADJ
cana-3828	175	14	negatives	negative	NOUN
cana-3828	175	15	.	.	PUNCT
cana-3828	176	1	the	the	DET
cana-3828	176	2	recall	recall	NOUN
cana-3828	176	3	for	for	ADP
cana-3828	176	4	the	the	DET
cana-3828	176	5	ransomware	ransomware	NOUN
cana-3828	176	6	class	class	NOUN
cana-3828	176	7	is	be	AUX
cana-3828	176	8	0.99	0.99	NUM
cana-3828	176	9	,	,	PUNCT
cana-3828	176	10	communications	communication	NOUN
cana-3828	176	11	on	on	ADP
cana-3828	176	12	applied	apply	VERB
cana-3828	176	13	nonlinear	nonlinear	ADJ
cana-3828	176	14	analysis	analysis	NOUN
cana-3828	176	15	issn	issn	NOUN
cana-3828	176	16	:	:	PUNCT
cana-3828	176	17	1074	1074	NUM
cana-3828	176	18	-	-	PUNCT
cana-3828	176	19	133x	133x	NUM
cana-3828	176	20	vol	vol	NOUN
cana-3828	176	21	32	32	NUM
cana-3828	176	22	no	no	NOUN
cana-3828	176	23	.	.	PUNCT
cana-3828	177	1	8s	8s	PROPN
cana-3828	177	2	(	(	PUNCT
cana-3828	177	3	2025	2025	NUM
cana-3828	177	4	)	)	PUNCT
cana-3828	177	5	877	877	NUM
cana-3828	177	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	177	7	demonstrating	demonstrate	VERB
cana-3828	177	8	a	a	DET
cana-3828	177	9	very	very	ADV
cana-3828	177	10	low	low	ADJ
cana-3828	177	11	false	false	ADJ
cana-3828	177	12	negative	negative	ADJ
cana-3828	177	13	rate	rate	NOUN
cana-3828	177	14	.	.	PUNCT
cana-3828	178	1	the	the	DET
cana-3828	178	2	f1	f1	NOUN
cana-3828	178	3	-	-	PUNCT
cana-3828	178	4	scores	score	NOUN
cana-3828	178	5	for	for	ADP
cana-3828	178	6	both	both	DET
cana-3828	178	7	classes	class	NOUN
cana-3828	178	8	are	be	AUX
cana-3828	178	9	likewise	likewise	ADV
cana-3828	178	10	1.00	1.00	NUM
cana-3828	178	11	,	,	PUNCT
cana-3828	178	12	reflecting	reflect	VERB
cana-3828	178	13	the	the	DET
cana-3828	178	14	classifier	classifier	NOUN
cana-3828	178	15	's	's	PART
cana-3828	178	16	excellent	excellent	ADJ
cana-3828	178	17	balance	balance	NOUN
cana-3828	178	18	of	of	ADP
cana-3828	178	19	precision	precision	NOUN
cana-3828	178	20	and	and	CCONJ
cana-3828	178	21	recall	recall	NOUN
cana-3828	178	22	.	.	PUNCT
cana-3828	179	1	finally	finally	ADV
cana-3828	179	2	,	,	PUNCT
cana-3828	179	3	the	the	DET
cana-3828	179	4	overall	overall	ADJ
cana-3828	179	5	accuracy	accuracy	NOUN
cana-3828	179	6	of	of	ADP
cana-3828	179	7	the	the	DET
cana-3828	179	8	model	model	NOUN
cana-3828	179	9	is	be	AUX
cana-3828	179	10	an	an	DET
cana-3828	179	11	outstanding	outstanding	ADJ
cana-3828	179	12	99.78	99.78	NUM
cana-3828	179	13	%	%	NOUN
cana-3828	179	14	,	,	PUNCT
cana-3828	179	15	showcasing	showcase	VERB
cana-3828	179	16	its	its	PRON
cana-3828	179	17	exceptional	exceptional	ADJ
cana-3828	179	18	ability	ability	NOUN
cana-3828	179	19	to	to	PART
cana-3828	179	20	correctly	correctly	ADV
cana-3828	179	21	classify	classify	VERB
cana-3828	179	22	both	both	CCONJ
cana-3828	179	23	benign	benign	ADJ
cana-3828	179	24	and	and	CCONJ
cana-3828	179	25	ransomware	ransomware	NOUN
cana-3828	179	26	samples	sample	NOUN
cana-3828	179	27	.	.	PUNCT
cana-3828	180	1	gradient	gradient	ADJ
cana-3828	180	2	boosting	boost	VERB
cana-3828	180	3	machines	machine	NOUN
cana-3828	180	4	(	(	PUNCT
cana-3828	180	5	gbm	gbm	PROPN
cana-3828	180	6	)	)	PUNCT
cana-3828	180	7	the	the	DET
cana-3828	180	8	cross	cross	ADJ
cana-3828	180	9	-	-	ADJ
cana-3828	180	10	validation	validation	ADJ
cana-3828	180	11	scores	score	NOUN
cana-3828	180	12	for	for	ADP
cana-3828	180	13	the	the	DET
cana-3828	180	14	gradient	gradient	NOUN
cana-3828	180	15	boosting	boost	VERB
cana-3828	180	16	machines	machine	NOUN
cana-3828	180	17	(	(	PUNCT
cana-3828	180	18	gbm	gbm	NOUN
cana-3828	180	19	)	)	PUNCT
cana-3828	180	20	classifier	classifier	NOUN
cana-3828	180	21	demonstrate	demonstrate	VERB
cana-3828	180	22	outstanding	outstanding	ADJ
cana-3828	180	23	performance	performance	NOUN
cana-3828	180	24	,	,	PUNCT
cana-3828	180	25	with	with	ADP
cana-3828	180	26	scores	score	NOUN
cana-3828	180	27	of	of	ADP
cana-3828	180	28	0.9865	0.9865	NUM
cana-3828	180	29	,	,	PUNCT
cana-3828	180	30	0.9928	0.9928	NUM
cana-3828	180	31	,	,	PUNCT
cana-3828	180	32	0.9920	0.9920	NUM
cana-3828	180	33	,	,	PUNCT
cana-3828	180	34	0.9904	0.9904	NUM
cana-3828	180	35	,	,	PUNCT
cana-3828	180	36	and	and	CCONJ
cana-3828	180	37	0.9879	0.9879	NUM
cana-3828	180	38	.	.	PUNCT
cana-3828	181	1	the	the	DET
cana-3828	181	2	mean	mean	ADJ
cana-3828	181	3	crossvalidation	crossvalidation	NOUN
cana-3828	181	4	accuracy	accuracy	NOUN
cana-3828	181	5	is	be	AUX
cana-3828	181	6	an	an	DET
cana-3828	181	7	impressive	impressive	ADJ
cana-3828	181	8	98.99	98.99	NUM
cana-3828	181	9	%	%	NOUN
cana-3828	181	10	.	.	PUNCT
cana-3828	182	1	the	the	DET
cana-3828	182	2	confusion	confusion	NOUN
cana-3828	182	3	matrix	matrix	NOUN
cana-3828	182	4	provides	provide	VERB
cana-3828	182	5	an	an	DET
cana-3828	182	6	insightful	insightful	ADJ
cana-3828	182	7	breakdown	breakdown	NOUN
cana-3828	182	8	of	of	ADP
cana-3828	182	9	the	the	DET
cana-3828	182	10	model	model	NOUN
cana-3828	182	11	’s	’s	PART
cana-3828	182	12	performance	performance	NOUN
cana-3828	182	13	is	be	AUX
cana-3828	182	14	shown	show	VERB
cana-3828	182	15	figure	figure	NOUN
cana-3828	182	16	2	2	NUM
cana-3828	182	17	,	,	PUNCT
cana-3828	182	18	showing	show	VERB
cana-3828	182	19	7,071	7,071	NUM
cana-3828	182	20	true	true	ADJ
cana-3828	182	21	negatives	negative	NOUN
cana-3828	182	22	,	,	PUNCT
cana-3828	182	23	indicating	indicate	VERB
cana-3828	182	24	correctly	correctly	ADV
cana-3828	182	25	classified	classified	ADJ
cana-3828	182	26	benign	benign	ADJ
cana-3828	182	27	samples	sample	NOUN
cana-3828	182	28	,	,	PUNCT
cana-3828	182	29	and	and	CCONJ
cana-3828	182	30	only	only	ADV
cana-3828	182	31	36	36	NUM
cana-3828	182	32	false	false	ADJ
cana-3828	182	33	positives	positive	NOUN
cana-3828	182	34	,	,	PUNCT
cana-3828	182	35	where	where	SCONJ
cana-3828	182	36	benign	benign	ADJ
cana-3828	182	37	files	file	NOUN
cana-3828	182	38	are	be	AUX
cana-3828	182	39	misclassified	misclassifie	VERB
cana-3828	182	40	as	as	ADP
cana-3828	182	41	ransomware	ransomware	NOUN
cana-3828	182	42	.	.	PUNCT
cana-3828	183	1	the	the	DET
cana-3828	183	2	model	model	NOUN
cana-3828	183	3	misclassifies	misclassifie	VERB
cana-3828	183	4	87	87	NUM
cana-3828	183	5	ransomware	ransomware	NOUN
cana-3828	183	6	samples	sample	NOUN
cana-3828	183	7	as	as	ADP
cana-3828	183	8	benign	benign	ADJ
cana-3828	183	9	(	(	PUNCT
cana-3828	183	10	false	false	ADJ
cana-3828	183	11	negatives	negative	NOUN
cana-3828	183	12	)	)	PUNCT
cana-3828	183	13	and	and	CCONJ
cana-3828	183	14	correctly	correctly	ADV
cana-3828	183	15	identifies	identify	VERB
cana-3828	183	16	5,303	5,303	NUM
cana-3828	183	17	true	true	ADJ
cana-3828	183	18	positives	positive	NOUN
cana-3828	183	19	.	.	PUNCT
cana-3828	184	1	the	the	DET
cana-3828	184	2	classification	classification	NOUN
cana-3828	184	3	report	report	NOUN
cana-3828	184	4	reveals	reveal	VERB
cana-3828	184	5	perfect	perfect	ADJ
cana-3828	184	6	precision	precision	NOUN
cana-3828	184	7	of	of	ADP
cana-3828	184	8	0.99	0.99	NUM
cana-3828	184	9	for	for	ADP
cana-3828	184	10	both	both	CCONJ
cana-3828	184	11	benign	benign	ADJ
cana-3828	184	12	(	(	PUNCT
cana-3828	184	13	class	class	NOUN
cana-3828	184	14	0	0	NUM
cana-3828	184	15	)	)	PUNCT
cana-3828	184	16	and	and	CCONJ
cana-3828	184	17	ransomware	ransomware	NOUN
cana-3828	184	18	(	(	PUNCT
cana-3828	184	19	class	class	NOUN
cana-3828	184	20	1	1	NUM
cana-3828	184	21	)	)	PUNCT
cana-3828	184	22	classes	class	NOUN
cana-3828	184	23	,	,	PUNCT
cana-3828	184	24	with	with	ADP
cana-3828	184	25	a	a	DET
cana-3828	184	26	recall	recall	NOUN
cana-3828	184	27	of	of	ADP
cana-3828	184	28	0.99	0.99	NUM
cana-3828	184	29	for	for	ADP
cana-3828	184	30	both	both	DET
cana-3828	184	31	classes	class	NOUN
cana-3828	184	32	.	.	PUNCT
cana-3828	185	1	the	the	DET
cana-3828	185	2	f1	f1	NOUN
cana-3828	185	3	-	-	PUNCT
cana-3828	185	4	scores	score	NOUN
cana-3828	185	5	are	be	AUX
cana-3828	185	6	0.99	0.99	NUM
cana-3828	185	7	for	for	ADP
cana-3828	185	8	both	both	DET
cana-3828	185	9	classes	class	NOUN
cana-3828	185	10	,	,	PUNCT
cana-3828	185	11	reflecting	reflect	VERB
cana-3828	185	12	a	a	DET
cana-3828	185	13	balanced	balanced	ADJ
cana-3828	185	14	trade	trade	NOUN
cana-3828	185	15	-	-	PUNCT
cana-3828	185	16	off	off	NOUN
cana-3828	185	17	between	between	ADP
cana-3828	185	18	precision	precision	NOUN
cana-3828	185	19	and	and	CCONJ
cana-3828	185	20	recall	recall	NOUN
cana-3828	185	21	.	.	PUNCT
cana-3828	186	1	the	the	DET
cana-3828	186	2	overall	overall	ADJ
cana-3828	186	3	accuracy	accuracy	NOUN
cana-3828	186	4	of	of	ADP
cana-3828	186	5	the	the	DET
cana-3828	186	6	model	model	NOUN
cana-3828	186	7	is	be	AUX
cana-3828	186	8	99	99	NUM
cana-3828	186	9	%	%	NOUN
cana-3828	186	10	,	,	PUNCT
cana-3828	186	11	demonstrating	demonstrate	VERB
cana-3828	186	12	its	its	PRON
cana-3828	186	13	exceptional	exceptional	ADJ
cana-3828	186	14	ability	ability	NOUN
cana-3828	186	15	to	to	PART
cana-3828	186	16	accurately	accurately	ADV
cana-3828	186	17	classify	classify	VERB
cana-3828	186	18	both	both	CCONJ
cana-3828	186	19	benign	benign	ADJ
cana-3828	186	20	and	and	CCONJ
cana-3828	186	21	ransomware	ransomware	NOUN
cana-3828	186	22	samples	sample	NOUN
cana-3828	186	23	.	.	PUNCT
cana-3828	187	1	figure	figure	NOUN
cana-3828	187	2	.	.	PUNCT
cana-3828	188	1	1	1	NUM
cana-3828	188	2	:	:	PUNCT
cana-3828	188	3	confusion	confusion	NOUN
cana-3828	188	4	matrix	matrix	NOUN
cana-3828	188	5	of	of	ADP
cana-3828	188	6	random	random	ADJ
cana-3828	188	7	forest	forest	NOUN
cana-3828	188	8	figure	figure	NOUN
cana-3828	188	9	2	2	NUM
cana-3828	188	10	:	:	PUNCT
cana-3828	188	11	confusion	confusion	NOUN
cana-3828	188	12	matrix	matrix	NOUN
cana-3828	188	13	of	of	ADP
cana-3828	188	14	gradient	gradient	ADJ
cana-3828	188	15	boosting	boost	VERB
cana-3828	188	16	machines	machine	NOUN
cana-3828	188	17	logistic	logistic	ADJ
cana-3828	188	18	regression	regression	VERB
cana-3828	188	19	the	the	DET
cana-3828	188	20	logistic	logistic	ADJ
cana-3828	188	21	regression	regression	NOUN
cana-3828	188	22	model	model	NOUN
cana-3828	188	23	yielded	yield	VERB
cana-3828	188	24	a	a	DET
cana-3828	188	25	mean	mean	ADJ
cana-3828	188	26	cross	cross	ADJ
cana-3828	188	27	-	-	ADJ
cana-3828	188	28	validation	validation	ADJ
cana-3828	188	29	accuracy	accuracy	NOUN
cana-3828	188	30	of	of	ADP
cana-3828	188	31	0.87715	0.87715	NUM
cana-3828	188	32	,	,	PUNCT
cana-3828	188	33	which	which	PRON
cana-3828	188	34	represents	represent	VERB
cana-3828	188	35	a	a	DET
cana-3828	188	36	relatively	relatively	ADV
cana-3828	188	37	decent	decent	ADJ
cana-3828	188	38	performance	performance	NOUN
cana-3828	188	39	,	,	PUNCT
cana-3828	188	40	but	but	CCONJ
cana-3828	188	41	falls	fall	VERB
cana-3828	188	42	short	short	ADJ
cana-3828	188	43	when	when	SCONJ
cana-3828	188	44	compared	compare	VERB
cana-3828	188	45	to	to	ADP
cana-3828	188	46	the	the	DET
cana-3828	188	47	exceptional	exceptional	ADJ
cana-3828	188	48	results	result	NOUN
cana-3828	188	49	achieved	achieve	VERB
cana-3828	188	50	by	by	ADP
cana-3828	188	51	the	the	DET
cana-3828	188	52	ensemble	ensemble	ADJ
cana-3828	188	53	methods	method	NOUN
cana-3828	188	54	.	.	PUNCT
cana-3828	189	1	an	an	DET
cana-3828	189	2	analysis	analysis	NOUN
cana-3828	189	3	of	of	ADP
cana-3828	189	4	the	the	DET
cana-3828	189	5	confusion	confusion	NOUN
cana-3828	189	6	matrix	matrix	NOUN
cana-3828	189	7	provides	provide	VERB
cana-3828	189	8	more	more	ADV
cana-3828	189	9	detailed	detailed	ADJ
cana-3828	189	10	insights	insight	NOUN
cana-3828	189	11	into	into	ADP
cana-3828	189	12	the	the	DET
cana-3828	189	13	model	model	NOUN
cana-3828	189	14	's	's	PART
cana-3828	189	15	performance	performance	NOUN
cana-3828	189	16	is	be	AUX
cana-3828	189	17	shown	show	VERB
cana-3828	189	18	in	in	ADP
cana-3828	189	19	figure	figure	NOUN
cana-3828	189	20	3	3	NUM
cana-3828	189	21	.	.	PUNCT
cana-3828	190	1	the	the	DET
cana-3828	190	2	true	true	ADJ
cana-3828	190	3	positives	positive	NOUN
cana-3828	190	4	,	,	PUNCT
cana-3828	190	5	where	where	SCONJ
cana-3828	190	6	ransomware	ransomware	NOUN
cana-3828	190	7	samples	sample	NOUN
cana-3828	190	8	were	be	AUX
cana-3828	190	9	correctly	correctly	ADV
cana-3828	190	10	identified	identify	VERB
cana-3828	190	11	,	,	PUNCT
cana-3828	190	12	totalled	total	VERB
cana-3828	190	13	2,903	2,903	NUM
cana-3828	190	14	.	.	PUNCT
cana-3828	191	1	the	the	DET
cana-3828	191	2	true	true	ADJ
cana-3828	191	3	negatives	negative	NOUN
cana-3828	191	4	,	,	PUNCT
cana-3828	191	5	representing	represent	VERB
cana-3828	191	6	benign	benign	ADJ
cana-3828	191	7	files	file	NOUN
cana-3828	191	8	that	that	PRON
cana-3828	191	9	were	be	AUX
cana-3828	191	10	properly	properly	ADV
cana-3828	191	11	classified	classify	VERB
cana-3828	191	12	,	,	PUNCT
cana-3828	191	13	amounted	amount	VERB
cana-3828	191	14	to	to	ADP
cana-3828	191	15	5,622	5,622	NUM
cana-3828	191	16	.	.	PUNCT
cana-3828	192	1	however	however	ADV
cana-3828	192	2	,	,	PUNCT
cana-3828	192	3	the	the	DET
cana-3828	192	4	model	model	NOUN
cana-3828	192	5	struggled	struggle	VERB
cana-3828	192	6	with	with	ADP
cana-3828	192	7	a	a	DET
cana-3828	192	8	high	high	ADJ
cana-3828	192	9	number	number	NOUN
cana-3828	192	10	of	of	ADP
cana-3828	192	11	false	false	ADJ
cana-3828	192	12	positives	positive	NOUN
cana-3828	192	13	communications	communication	NOUN
cana-3828	192	14	on	on	ADP
cana-3828	192	15	applied	apply	VERB
cana-3828	192	16	nonlinear	nonlinear	ADJ
cana-3828	192	17	analysis	analysis	NOUN
cana-3828	192	18	issn	issn	NOUN
cana-3828	192	19	:	:	PUNCT
cana-3828	192	20	1074	1074	NUM
cana-3828	192	21	-	-	PUNCT
cana-3828	192	22	133x	133x	NUM
cana-3828	192	23	vol	vol	NOUN
cana-3828	192	24	32	32	NUM
cana-3828	192	25	no	no	NOUN
cana-3828	192	26	.	.	PUNCT
cana-3828	193	1	8s	8s	PROPN
cana-3828	193	2	(	(	PUNCT
cana-3828	193	3	2025	2025	NUM
cana-3828	193	4	)	)	PUNCT
cana-3828	193	5	878	878	NUM
cana-3828	193	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	193	7	(	(	PUNCT
cana-3828	193	8	1,485	1,485	NUM
cana-3828	193	9	)	)	PUNCT
cana-3828	193	10	and	and	CCONJ
cana-3828	193	11	false	false	ADJ
cana-3828	193	12	negatives	negative	NOUN
cana-3828	193	13	(	(	PUNCT
cana-3828	193	14	2,487	2,487	NUM
cana-3828	193	15	)	)	PUNCT
cana-3828	193	16	,	,	PUNCT
cana-3828	193	17	indicating	indicate	VERB
cana-3828	193	18	difficulties	difficulty	NOUN
cana-3828	193	19	in	in	ADP
cana-3828	193	20	accurately	accurately	ADV
cana-3828	193	21	distinguishing	distinguish	VERB
cana-3828	193	22	between	between	ADP
cana-3828	193	23	benign	benign	ADJ
cana-3828	193	24	and	and	CCONJ
cana-3828	193	25	ransomware	ransomware	NOUN
cana-3828	193	26	samples	sample	NOUN
cana-3828	193	27	.	.	PUNCT
cana-3828	194	1	the	the	DET
cana-3828	194	2	classification	classification	NOUN
cana-3828	194	3	report	report	NOUN
cana-3828	194	4	further	further	ADJ
cana-3828	194	5	highlights	highlight	NOUN
cana-3828	194	6	the	the	DET
cana-3828	194	7	logistic	logistic	ADJ
cana-3828	194	8	regression	regression	NOUN
cana-3828	194	9	model	model	NOUN
cana-3828	194	10	's	's	PART
cana-3828	194	11	limitations	limitation	NOUN
cana-3828	194	12	.	.	PUNCT
cana-3828	195	1	the	the	DET
cana-3828	195	2	precision	precision	NOUN
cana-3828	195	3	for	for	ADP
cana-3828	195	4	the	the	DET
cana-3828	195	5	ransomware	ransomware	NOUN
cana-3828	195	6	class	class	NOUN
cana-3828	195	7	(	(	PUNCT
cana-3828	195	8	1	1	NUM
cana-3828	195	9	)	)	PUNCT
cana-3828	195	10	was	be	AUX
cana-3828	195	11	0.66	0.66	NUM
cana-3828	195	12	,	,	PUNCT
cana-3828	195	13	the	the	DET
cana-3828	195	14	recall	recall	NOUN
cana-3828	195	15	was	be	AUX
cana-3828	195	16	0.54	0.54	NUM
cana-3828	195	17	,	,	PUNCT
cana-3828	195	18	and	and	CCONJ
cana-3828	195	19	the	the	DET
cana-3828	195	20	f1	f1	NOUN
cana-3828	195	21	-	-	PUNCT
cana-3828	195	22	score	score	NOUN
cana-3828	195	23	was	be	AUX
cana-3828	195	24	0.59	0.59	NUM
cana-3828	195	25	.	.	PUNCT
cana-3828	196	1	these	these	DET
cana-3828	196	2	metrics	metric	NOUN
cana-3828	196	3	,	,	PUNCT
cana-3828	196	4	while	while	SCONJ
cana-3828	196	5	not	not	PART
cana-3828	196	6	entirely	entirely	ADV
cana-3828	196	7	poor	poor	ADJ
cana-3828	196	8	,	,	PUNCT
cana-3828	196	9	significantly	significantly	ADV
cana-3828	196	10	lag	lag	VERB
cana-3828	196	11	behind	behind	ADP
cana-3828	196	12	the	the	DET
cana-3828	196	13	near	near	ADV
cana-3828	196	14	-	-	PUNCT
cana-3828	196	15	perfect	perfect	ADJ
cana-3828	196	16	performance	performance	NOUN
cana-3828	196	17	exhibited	exhibit	VERB
cana-3828	196	18	by	by	ADP
cana-3828	196	19	the	the	DET
cana-3828	196	20	gradient	gradient	NOUN
cana-3828	196	21	boosting	boost	VERB
cana-3828	196	22	machine	machine	NOUN
cana-3828	196	23	and	and	CCONJ
cana-3828	196	24	random	random	ADJ
cana-3828	196	25	forest	forest	NOUN
cana-3828	196	26	classifiers	classifier	NOUN
cana-3828	196	27	.	.	PUNCT
cana-3828	197	1	the	the	DET
cana-3828	197	2	stark	stark	ADJ
cana-3828	197	3	contrast	contrast	NOUN
cana-3828	197	4	in	in	ADP
cana-3828	197	5	performance	performance	NOUN
cana-3828	197	6	between	between	ADP
cana-3828	197	7	the	the	DET
cana-3828	197	8	logistic	logistic	ADJ
cana-3828	197	9	regression	regression	NOUN
cana-3828	197	10	model	model	NOUN
cana-3828	197	11	and	and	CCONJ
cana-3828	197	12	the	the	DET
cana-3828	197	13	ensemble	ensemble	ADJ
cana-3828	197	14	methods	method	NOUN
cana-3828	197	15	emphasizes	emphasize	VERB
cana-3828	197	16	the	the	DET
cana-3828	197	17	importance	importance	NOUN
cana-3828	197	18	of	of	ADP
cana-3828	197	19	exploring	explore	VERB
cana-3828	197	20	more	more	ADV
cana-3828	197	21	advanced	advanced	ADJ
cana-3828	197	22	techniques	technique	NOUN
cana-3828	197	23	,	,	PUNCT
cana-3828	197	24	particularly	particularly	ADV
cana-3828	197	25	in	in	ADP
cana-3828	197	26	the	the	DET
cana-3828	197	27	domain	domain	NOUN
cana-3828	197	28	of	of	ADP
cana-3828	197	29	cybersecurity	cybersecurity	NOUN
cana-3828	197	30	,	,	PUNCT
cana-3828	197	31	where	where	SCONJ
cana-3828	197	32	accurate	accurate	ADJ
cana-3828	197	33	detection	detection	NOUN
cana-3828	197	34	is	be	AUX
cana-3828	197	35	paramount	paramount	ADJ
cana-3828	197	36	.	.	PUNCT
cana-3828	198	1	the	the	DET
cana-3828	198	2	ensemble	ensemble	ADJ
cana-3828	198	3	models	model	NOUN
cana-3828	198	4	demonstrated	demonstrate	VERB
cana-3828	198	5	an	an	DET
cana-3828	198	6	exceptional	exceptional	ADJ
cana-3828	198	7	ability	ability	NOUN
cana-3828	198	8	to	to	PART
cana-3828	198	9	minimize	minimize	VERB
cana-3828	198	10	errors	error	NOUN
cana-3828	198	11	and	and	CCONJ
cana-3828	198	12	achieve	achieve	VERB
cana-3828	198	13	near	near	ADV
cana-3828	198	14	-	-	PUNCT
cana-3828	198	15	perfect	perfect	ADJ
cana-3828	198	16	accuracy	accuracy	NOUN
cana-3828	198	17	,	,	PUNCT
cana-3828	198	18	showcasing	showcase	VERB
cana-3828	198	19	their	their	PRON
cana-3828	198	20	suitability	suitability	NOUN
cana-3828	198	21	complex	complex	ADJ
cana-3828	198	22	classification	classification	NOUN
cana-3828	198	23	problems	problem	NOUN
cana-3828	198	24	like	like	ADP
cana-3828	198	25	ransomware	ransomware	NOUN
cana-3828	198	26	detection	detection	NOUN
cana-3828	198	27	figure	figure	NOUN
cana-3828	198	28	3	3	NUM
cana-3828	198	29	:	:	PUNCT
cana-3828	198	30	confusion	confusion	NOUN
cana-3828	198	31	matrix	matrix	NOUN
cana-3828	198	32	of	of	ADP
cana-3828	198	33	logistic	logistic	ADJ
cana-3828	198	34	regression	regression	NOUN
cana-3828	198	35	7	7	NUM
cana-3828	198	36	.	.	PUNCT
cana-3828	198	37	comparative	comparative	ADJ
cana-3828	198	38	analysis	analysis	NOUN
cana-3828	198	39	random	random	ADJ
cana-3828	198	40	forest	forest	NOUN
cana-3828	198	41	emerged	emerge	VERB
cana-3828	198	42	as	as	ADP
cana-3828	198	43	the	the	DET
cana-3828	198	44	best	well	ADV
cana-3828	198	45	-	-	PUNCT
cana-3828	198	46	performing	perform	VERB
cana-3828	198	47	model	model	NOUN
cana-3828	198	48	,	,	PUNCT
cana-3828	198	49	achieving	achieve	VERB
cana-3828	198	50	the	the	DET
cana-3828	198	51	highest	high	ADJ
cana-3828	198	52	accuracy	accuracy	NOUN
cana-3828	198	53	and	and	CCONJ
cana-3828	198	54	f1	f1	NOUN
cana-3828	198	55	-	-	PUNCT
cana-3828	198	56	scores	score	NOUN
cana-3828	198	57	,	,	PUNCT
cana-3828	198	58	making	make	VERB
cana-3828	198	59	it	it	PRON
cana-3828	198	60	highly	highly	ADV
cana-3828	198	61	effective	effective	ADJ
cana-3828	198	62	in	in	ADP
cana-3828	198	63	identifying	identify	VERB
cana-3828	198	64	both	both	PRON
cana-3828	198	65	ransomware	ransomware	NOUN
cana-3828	198	66	and	and	CCONJ
cana-3828	198	67	benign	benign	ADJ
cana-3828	198	68	files	file	NOUN
cana-3828	198	69	with	with	ADP
cana-3828	198	70	minimal	minimal	ADJ
cana-3828	198	71	false	false	ADJ
cana-3828	198	72	positives	positive	NOUN
cana-3828	198	73	and	and	CCONJ
cana-3828	198	74	negatives	negative	NOUN
cana-3828	198	75	.	.	PUNCT
cana-3828	199	1	gradient	gradient	ADJ
cana-3828	199	2	boosting	boost	VERB
cana-3828	199	3	machines	machine	NOUN
cana-3828	199	4	(	(	PUNCT
cana-3828	199	5	gbm	gbm	PROPN
cana-3828	199	6	)	)	PUNCT
cana-3828	199	7	closely	closely	ADV
cana-3828	199	8	followed	follow	VERB
cana-3828	199	9	,	,	PUNCT
cana-3828	199	10	providing	provide	VERB
cana-3828	199	11	a	a	DET
cana-3828	199	12	high	high	ADJ
cana-3828	199	13	accuracy	accuracy	NOUN
cana-3828	199	14	and	and	CCONJ
cana-3828	199	15	balanced	balanced	ADJ
cana-3828	199	16	performance	performance	NOUN
cana-3828	199	17	but	but	CCONJ
cana-3828	199	18	slightly	slightly	ADV
cana-3828	199	19	lagging	lag	VERB
cana-3828	199	20	behind	behind	ADP
cana-3828	199	21	random	random	ADJ
cana-3828	199	22	forest	forest	NOUN
cana-3828	199	23	in	in	ADP
cana-3828	199	24	recall	recall	NOUN
cana-3828	199	25	.	.	PUNCT
cana-3828	200	1	logistic	logistic	ADJ
cana-3828	200	2	regression	regression	NOUN
cana-3828	200	3	struggled	struggle	VERB
cana-3828	200	4	with	with	ADP
cana-3828	200	5	the	the	DET
cana-3828	200	6	complexity	complexity	NOUN
cana-3828	200	7	of	of	ADP
cana-3828	200	8	the	the	DET
cana-3828	200	9	dataset	dataset	NOUN
cana-3828	200	10	,	,	PUNCT
cana-3828	200	11	particularly	particularly	ADV
cana-3828	200	12	in	in	ADP
cana-3828	200	13	detecting	detect	VERB
cana-3828	200	14	ransomware	ransomware	NOUN
cana-3828	200	15	instances	instance	NOUN
cana-3828	200	16	,	,	PUNCT
cana-3828	200	17	leading	lead	VERB
cana-3828	200	18	to	to	ADP
cana-3828	200	19	lower	low	ADJ
cana-3828	200	20	precision	precision	NOUN
cana-3828	200	21	and	and	CCONJ
cana-3828	200	22	recall	recall	NOUN
cana-3828	200	23	,	,	PUNCT
cana-3828	200	24	making	make	VERB
cana-3828	200	25	it	it	PRON
cana-3828	200	26	the	the	DET
cana-3828	200	27	least	least	ADV
cana-3828	200	28	effective	effective	ADJ
cana-3828	200	29	model	model	NOUN
cana-3828	200	30	in	in	ADP
cana-3828	200	31	this	this	DET
cana-3828	200	32	study	study	NOUN
cana-3828	200	33	.	.	PUNCT
cana-3828	201	1	hybrid	hybrid	ADJ
cana-3828	201	2	models	model	NOUN
cana-3828	201	3	,	,	PUNCT
cana-3828	201	4	while	while	SCONJ
cana-3828	201	5	slightly	slightly	ADV
cana-3828	201	6	outperforming	outperform	VERB
cana-3828	201	7	single	single	ADJ
cana-3828	201	8	models	model	NOUN
cana-3828	201	9	in	in	ADP
cana-3828	201	10	some	some	DET
cana-3828	201	11	cases	case	NOUN
cana-3828	201	12	,	,	PUNCT
cana-3828	201	13	introduce	introduce	VERB
cana-3828	201	14	increased	increase	VERB
cana-3828	201	15	complexity	complexity	NOUN
cana-3828	201	16	and	and	CCONJ
cana-3828	201	17	computational	computational	ADJ
cana-3828	201	18	costs	cost	NOUN
cana-3828	201	19	,	,	PUNCT
cana-3828	201	20	making	make	VERB
cana-3828	201	21	them	they	PRON
cana-3828	201	22	less	less	ADV
cana-3828	201	23	practical	practical	ADJ
cana-3828	201	24	for	for	ADP
cana-3828	201	25	real	real	ADJ
cana-3828	201	26	-	-	PUNCT
cana-3828	201	27	time	time	NOUN
cana-3828	201	28	ransomware	ransomware	NOUN
cana-3828	201	29	detection	detection	NOUN
cana-3828	201	30	.	.	PUNCT
cana-3828	202	1	this	this	DET
cana-3828	202	2	research	research	NOUN
cana-3828	202	3	confirms	confirm	VERB
cana-3828	202	4	that	that	SCONJ
cana-3828	202	5	random	random	ADJ
cana-3828	202	6	forest	forest	NOUN
cana-3828	202	7	and	and	CCONJ
cana-3828	202	8	gbm	gbm	PROPN
cana-3828	202	9	are	be	AUX
cana-3828	202	10	highly	highly	ADV
cana-3828	202	11	reliable	reliable	ADJ
cana-3828	202	12	models	model	NOUN
cana-3828	202	13	for	for	ADP
cana-3828	202	14	detecting	detect	VERB
cana-3828	202	15	ransomware	ransomware	NOUN
cana-3828	202	16	,	,	PUNCT
cana-3828	202	17	with	with	ADP
cana-3828	202	18	random	random	ADJ
cana-3828	202	19	forest	forest	NOUN
cana-3828	202	20	emerging	emerge	VERB
cana-3828	202	21	as	as	ADP
cana-3828	202	22	the	the	DET
cana-3828	202	23	most	most	ADV
cana-3828	202	24	effective	effective	ADJ
cana-3828	202	25	model	model	NOUN
cana-3828	202	26	across	across	ADP
cana-3828	202	27	multiple	multiple	ADJ
cana-3828	202	28	studies	study	NOUN
cana-3828	202	29	.	.	PUNCT
cana-3828	203	1	the	the	DET
cana-3828	203	2	comparison	comparison	NOUN
cana-3828	203	3	of	of	ADP
cana-3828	203	4	the	the	DET
cana-3828	203	5	cross	cross	NOUN
cana-3828	203	6	validation	validation	NOUN
cana-3828	203	7	result	result	NOUN
cana-3828	203	8	is	be	AUX
cana-3828	203	9	shown	show	VERB
cana-3828	203	10	in	in	ADP
cana-3828	203	11	the	the	DET
cana-3828	203	12	figure	figure	NOUN
cana-3828	203	13	4	4	NUM
cana-3828	203	14	.	.	PUNCT
cana-3828	204	1	it	it	PRON
cana-3828	204	2	shows	show	VERB
cana-3828	204	3	the	the	DET
cana-3828	204	4	good	good	ADJ
cana-3828	204	5	score	score	NOUN
cana-3828	204	6	of	of	ADP
cana-3828	204	7	cross	cross	NOUN
cana-3828	204	8	validation	validation	NOUN
cana-3828	204	9	the	the	PRON
cana-3828	204	10	for	for	ADP
cana-3828	204	11	random	random	ADJ
cana-3828	204	12	forest	forest	NOUN
cana-3828	204	13	and	and	CCONJ
cana-3828	204	14	gbm	gbm	PROPN
cana-3828	204	15	models	model	NOUN
cana-3828	204	16	.	.	PUNCT
cana-3828	205	1	also	also	ADV
cana-3828	205	2	the	the	DET
cana-3828	205	3	compared	compare	VERB
cana-3828	205	4	of	of	ADP
cana-3828	205	5	the	the	DET
cana-3828	205	6	applied	apply	VERB
cana-3828	205	7	models	model	NOUN
cana-3828	205	8	with	with	ADP
cana-3828	205	9	the	the	DET
cana-3828	205	10	other	other	ADJ
cana-3828	205	11	researchers	researcher	NOUN
cana-3828	205	12	as	as	SCONJ
cana-3828	205	13	shown	show	VERB
cana-3828	205	14	in	in	ADP
cana-3828	205	15	the	the	DET
cana-3828	205	16	figure	figure	NOUN
cana-3828	205	17	5	5	NUM
cana-3828	205	18	.	.	PUNCT
cana-3828	206	1	the	the	DET
cana-3828	206	2	model	model	NOUN
cana-3828	206	3	predicted	predict	VERB
cana-3828	206	4	result	result	NOUN
cana-3828	206	5	are	be	AUX
cana-3828	206	6	comparatively	comparatively	ADV
cana-3828	206	7	good	good	ADJ
cana-3828	206	8	.	.	PUNCT
cana-3828	207	1	communications	communication	NOUN
cana-3828	207	2	on	on	ADP
cana-3828	207	3	applied	apply	VERB
cana-3828	207	4	nonlinear	nonlinear	ADJ
cana-3828	207	5	analysis	analysis	NOUN
cana-3828	207	6	issn	issn	NOUN
cana-3828	207	7	:	:	PUNCT
cana-3828	207	8	1074	1074	NUM
cana-3828	207	9	-	-	PUNCT
cana-3828	207	10	133x	133x	NUM
cana-3828	207	11	vol	vol	NOUN
cana-3828	207	12	32	32	NUM
cana-3828	207	13	no	no	NOUN
cana-3828	207	14	.	.	PUNCT
cana-3828	208	1	8s	8s	PROPN
cana-3828	208	2	(	(	PUNCT
cana-3828	208	3	2025	2025	NUM
cana-3828	208	4	)	)	PUNCT
cana-3828	208	5	879	879	NUM
cana-3828	208	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	208	7	figure	figure	NOUN
cana-3828	208	8	4	4	NUM
cana-3828	208	9	:	:	PUNCT
cana-3828	208	10	comparison	comparison	NOUN
cana-3828	208	11	of	of	ADP
cana-3828	208	12	mean	mean	PROPN
cana-3828	208	13	cross	cross	NOUN
cana-3828	208	14	validation	validation	NOUN
cana-3828	208	15	score	score	NOUN
cana-3828	208	16	figure	figure	NOUN
cana-3828	208	17	5	5	NUM
cana-3828	208	18	:	:	PUNCT
cana-3828	208	19	comparison	comparison	NOUN
cana-3828	208	20	to	to	ADP
cana-3828	208	21	related	related	ADJ
cana-3828	208	22	work	work	NOUN
cana-3828	208	23	table	table	NOUN
cana-3828	208	24	1	1	NUM
cana-3828	208	25	.	.	PUNCT
cana-3828	208	26	comparison	comparison	NOUN
cana-3828	208	27	of	of	ADP
cana-3828	208	28	model	model	NOUN
cana-3828	208	29	metrics	metric	NOUN
cana-3828	208	30	evaluation	evaluation	NOUN
cana-3828	208	31	results	result	NOUN
cana-3828	208	32	model	model	NOUN
cana-3828	208	33	mean	mean	VERB
cana-3828	208	34	cross	cross	ADJ
cana-3828	208	35	-	-	ADJ
cana-3828	208	36	validation	validation	ADJ
cana-3828	208	37	accuracy	accuracy	NOUN
cana-3828	208	38	(	(	PUNCT
cana-3828	208	39	%	%	INTJ
cana-3828	208	40	)	)	PUNCT
cana-3828	208	41	precision	precision	NOUN
cana-3828	208	42	recall	recall	NOUN
cana-3828	208	43	f1	f1	PROPN
cana-3828	208	44	score	score	NOUN
cana-3828	208	45	overall	overall	ADJ
cana-3828	208	46	accuracy	accuracy	NOUN
cana-3828	208	47	(	(	PUNCT
cana-3828	208	48	%	%	INTJ
cana-3828	208	49	)	)	PUNCT
cana-3828	208	50	radom	radom	PROPN
cana-3828	208	51	forest	forest	NOUN
cana-3828	208	52	99.57	99.57	NUM
cana-3828	208	53	1.0	1.0	NUM
cana-3828	208	54	0.99	0.99	NUM
cana-3828	208	55	1.0	1.0	NUM
cana-3828	208	56	99.08	99.08	NUM
cana-3828	208	57	gradient	gradient	NOUN
cana-3828	208	58	boosting	boost	VERB
cana-3828	208	59	98.57	98.57	NUM
cana-3828	208	60	0.99	0.99	NUM
cana-3828	208	61	0.98	0.98	NUM
cana-3828	208	62	0.99	0.99	NUM
cana-3828	208	63	99.78	99.78	NUM
cana-3828	208	64	logistic	logistic	ADJ
cana-3828	208	65	regression	regression	NOUN
cana-3828	208	66	85.73	85.73	NUM
cana-3828	208	67	0.86	0.86	NUM
cana-3828	208	68	0.61	0.61	NUM
cana-3828	208	69	0.72	0.72	NUM
cana-3828	208	70	79.20	79.20	NUM
cana-3828	208	71	8	8	NUM
cana-3828	208	72	.	.	PUNCT
cana-3828	209	1	conclusion	conclusion	NOUN
cana-3828	209	2	the	the	DET
cana-3828	209	3	results	result	NOUN
cana-3828	209	4	demonstrate	demonstrate	VERB
cana-3828	209	5	that	that	SCONJ
cana-3828	209	6	ensemble	ensemble	ADJ
cana-3828	209	7	methods	method	NOUN
cana-3828	209	8	like	like	ADP
cana-3828	209	9	random	random	ADJ
cana-3828	209	10	forest	forest	NOUN
cana-3828	209	11	and	and	CCONJ
cana-3828	209	12	gradient	gradient	ADJ
cana-3828	209	13	boosting	boost	VERB
cana-3828	209	14	machines	machine	NOUN
cana-3828	209	15	are	be	AUX
cana-3828	209	16	highly	highly	ADV
cana-3828	209	17	effective	effective	ADJ
cana-3828	209	18	for	for	ADP
cana-3828	209	19	ransomware	ransomware	NOUN
cana-3828	209	20	detection	detection	NOUN
cana-3828	209	21	,	,	PUNCT
cana-3828	209	22	outperforming	outperform	VERB
cana-3828	209	23	traditional	traditional	ADJ
cana-3828	209	24	approaches	approach	NOUN
cana-3828	209	25	like	like	ADP
cana-3828	209	26	logistic	logistic	ADJ
cana-3828	209	27	regression	regression	NOUN
cana-3828	209	28	.	.	PUNCT
cana-3828	210	1	the	the	DET
cana-3828	210	2	success	success	NOUN
cana-3828	210	3	of	of	ADP
cana-3828	210	4	these	these	DET
cana-3828	210	5	models	model	NOUN
cana-3828	210	6	underscores	underscore	VERB
cana-3828	210	7	the	the	DET
cana-3828	210	8	importance	importance	NOUN
cana-3828	210	9	of	of	ADP
cana-3828	210	10	leveraging	leverage	VERB
cana-3828	210	11	complex	complex	ADJ
cana-3828	210	12	machine	machine	NOUN
cana-3828	210	13	learning	learn	VERB
cana-3828	210	14	algorithms	algorithm	NOUN
cana-3828	210	15	to	to	PART
cana-3828	210	16	improve	improve	VERB
cana-3828	210	17	cybersecurity	cybersecurity	NOUN
cana-3828	210	18	measures	measure	NOUN
cana-3828	210	19	against	against	ADP
cana-3828	210	20	evolving	evolve	VERB
cana-3828	210	21	ransomware	ransomware	NOUN
cana-3828	210	22	threats	threat	NOUN
cana-3828	210	23	.	.	PUNCT
cana-3828	211	1	random	random	ADJ
cana-3828	211	2	forest	forest	NOUN
cana-3828	211	3	consistently	consistently	ADV
cana-3828	211	4	emerges	emerge	VERB
cana-3828	211	5	as	as	ADP
cana-3828	211	6	one	one	NUM
cana-3828	211	7	of	of	ADP
cana-3828	211	8	the	the	DET
cana-3828	211	9	best	well	ADV
cana-3828	211	10	-	-	PUNCT
cana-3828	211	11	performing	perform	VERB
cana-3828	211	12	models	model	NOUN
cana-3828	211	13	for	for	ADP
cana-3828	211	14	ransomware	ransomware	NOUN
cana-3828	211	15	detection	detection	NOUN
cana-3828	211	16	,	,	PUNCT
cana-3828	211	17	achieving	achieve	VERB
cana-3828	211	18	99.57	99.57	NUM
cana-3828	211	19	%	%	NOUN
cana-3828	211	20	accuracy	accuracy	NOUN
cana-3828	211	21	in	in	ADP
cana-3828	211	22	our	our	PRON
cana-3828	211	23	study	study	NOUN
cana-3828	211	24	,	,	PUNCT
cana-3828	211	25	outperforming	outperforming	NOUN
cana-3828	211	26	or	or	CCONJ
cana-3828	211	27	matching	matching	NOUN
cana-3828	211	28	results	result	NOUN
cana-3828	211	29	from	from	ADP
cana-3828	211	30	other	other	ADJ
cana-3828	211	31	research	research	NOUN
cana-3828	211	32	.	.	PUNCT
cana-3828	212	1	gradient	gradient	ADJ
cana-3828	212	2	boosting	boost	VERB
cana-3828	212	3	machines	machine	NOUN
cana-3828	212	4	(	(	PUNCT
cana-3828	212	5	gbm	gbm	NOUN
cana-3828	212	6	)	)	PUNCT
cana-3828	212	7	also	also	ADV
cana-3828	212	8	performed	perform	VERB
cana-3828	212	9	well	well	ADV
cana-3828	212	10	,	,	PUNCT
cana-3828	212	11	achieving	achieve	VERB
cana-3828	212	12	98.99	98.99	NUM
cana-3828	212	13	%	%	NOUN
cana-3828	212	14	accuracy	accuracy	NOUN
cana-3828	212	15	,	,	PUNCT
cana-3828	212	16	in	in	ADP
cana-3828	212	17	line	line	NOUN
cana-3828	212	18	with	with	ADP
cana-3828	212	19	findings	finding	NOUN
cana-3828	212	20	from	from	ADP
cana-3828	212	21	other	other	ADJ
cana-3828	212	22	studies	study	NOUN
cana-3828	212	23	,	,	PUNCT
cana-3828	212	24	though	though	SCONJ
cana-3828	212	25	it	it	PRON
cana-3828	212	26	may	may	AUX
cana-3828	212	27	not	not	PART
cana-3828	212	28	generalize	generalize	VERB
cana-3828	212	29	as	as	ADV
cana-3828	212	30	well	well	ADV
cana-3828	212	31	as	as	ADP
cana-3828	212	32	random	random	ADJ
cana-3828	212	33	forest	forest	NOUN
cana-3828	212	34	,	,	PUNCT
cana-3828	212	35	logistic	logistic	ADJ
cana-3828	212	36	regression	regression	NOUN
cana-3828	212	37	,	,	PUNCT
cana-3828	212	38	while	while	SCONJ
cana-3828	212	39	interpretable	interpretable	ADJ
cana-3828	212	40	,	,	PUNCT
cana-3828	212	41	struggled	struggle	VERB
cana-3828	212	42	with	with	ADP
cana-3828	212	43	ransomware	ransomware	NOUN
cana-3828	212	44	detection	detection	NOUN
cana-3828	212	45	,	,	PUNCT
cana-3828	212	46	achieving	achieve	VERB
cana-3828	212	47	only	only	ADV
cana-3828	212	48	85.73	85.73	NUM
cana-3828	212	49	%	%	NOUN
cana-3828	212	50	accuracy	accuracy	NOUN
cana-3828	212	51	,	,	PUNCT
cana-3828	212	52	similar	similar	ADJ
cana-3828	212	53	to	to	ADP
cana-3828	212	54	other	other	ADJ
cana-3828	212	55	studies	study	NOUN
cana-3828	212	56	reinforcing	reinforce	VERB
cana-3828	212	57	its	its	PRON
cana-3828	212	58	limitations	limitation	NOUN
cana-3828	212	59	in	in	ADP
cana-3828	212	60	handling	handle	VERB
cana-3828	212	61	complex	complex	ADJ
cana-3828	212	62	data	datum	NOUN
cana-3828	212	63	.	.	PUNCT
cana-3828	213	1	this	this	DET
cana-3828	213	2	research	research	NOUN
cana-3828	213	3	investigated	investigate	VERB
cana-3828	213	4	the	the	DET
cana-3828	213	5	effectiveness	effectiveness	NOUN
cana-3828	213	6	of	of	ADP
cana-3828	213	7	three	three	NUM
cana-3828	213	8	machine	machine	NOUN
cana-3828	213	9	learning	learning	NOUN
cana-3828	213	10	models	model	NOUN
cana-3828	213	11	—	—	PUNCT
cana-3828	213	12	random	random	ADJ
cana-3828	213	13	forest	forest	NOUN
cana-3828	213	14	,	,	PUNCT
cana-3828	213	15	gradient	gradient	ADJ
cana-3828	213	16	boosting	boost	VERB
cana-3828	213	17	machines	machine	NOUN
cana-3828	213	18	(	(	PUNCT
cana-3828	213	19	gbm	gbm	NOUN
cana-3828	213	20	)	)	PUNCT
cana-3828	213	21	,	,	PUNCT
cana-3828	213	22	and	and	CCONJ
cana-3828	213	23	logistic	logistic	ADJ
cana-3828	213	24	regression	regression	NOUN
cana-3828	213	25	—	—	PUNCT
cana-3828	213	26	for	for	ADP
cana-3828	213	27	ransomware	ransomware	NOUN
cana-3828	213	28	attack	attack	NOUN
cana-3828	213	29	detection	detection	NOUN
cana-3828	213	30	.	.	PUNCT
cana-3828	214	1	the	the	DET
cana-3828	214	2	study	study	NOUN
cana-3828	214	3	demonstrated	demonstrate	VERB
cana-3828	214	4	that	that	SCONJ
cana-3828	214	5	machine	machine	NOUN
cana-3828	214	6	learning	learning	NOUN
cana-3828	214	7	offers	offer	VERB
cana-3828	214	8	significant	significant	ADJ
cana-3828	214	9	advantages	advantage	NOUN
cana-3828	214	10	over	over	ADP
cana-3828	214	11	traditional	traditional	ADJ
cana-3828	214	12	signaturebased	signaturebased	ADJ
cana-3828	214	13	detection	detection	NOUN
cana-3828	214	14	methods	method	NOUN
cana-3828	214	15	by	by	ADP
cana-3828	214	16	accurately	accurately	ADV
cana-3828	214	17	identifying	identify	VERB
cana-3828	214	18	ransomware	ransomware	NOUN
cana-3828	214	19	through	through	ADP
cana-3828	214	20	behaviour	behaviour	NOUN
cana-3828	214	21	analysis	analysis	NOUN
cana-3828	214	22	.	.	PUNCT
cana-3828	215	1	each	each	DET
cana-3828	215	2	model	model	NOUN
cana-3828	215	3	was	be	AUX
cana-3828	215	4	evaluated	evaluate	VERB
cana-3828	215	5	based	base	VERB
cana-3828	215	6	on	on	ADP
cana-3828	215	7	its	its	PRON
cana-3828	215	8	accuracy	accuracy	NOUN
cana-3828	215	9	,	,	PUNCT
cana-3828	215	10	precision	precision	NOUN
cana-3828	215	11	,	,	PUNCT
cana-3828	215	12	recall	recall	NOUN
cana-3828	215	13	,	,	PUNCT
cana-3828	215	14	and	and	CCONJ
cana-3828	215	15	f1	f1	NOUN
cana-3828	215	16	-	-	PUNCT
cana-3828	215	17	score	score	NOUN
cana-3828	215	18	,	,	PUNCT
cana-3828	215	19	providing	provide	VERB
cana-3828	215	20	valuable	valuable	ADJ
cana-3828	215	21	insights	insight	NOUN
cana-3828	215	22	into	into	ADP
cana-3828	215	23	their	their	PRON
cana-3828	215	24	strengths	strength	NOUN
cana-3828	215	25	and	and	CCONJ
cana-3828	215	26	weaknesses	weakness	NOUN
cana-3828	215	27	.	.	PUNCT
cana-3828	216	1	communications	communication	NOUN
cana-3828	216	2	on	on	ADP
cana-3828	216	3	applied	apply	VERB
cana-3828	216	4	nonlinear	nonlinear	ADJ
cana-3828	216	5	analysis	analysis	NOUN
cana-3828	216	6	issn	issn	NOUN
cana-3828	216	7	:	:	PUNCT
cana-3828	216	8	1074	1074	NUM
cana-3828	216	9	-	-	PUNCT
cana-3828	216	10	133x	133x	NUM
cana-3828	216	11	vol	vol	NOUN
cana-3828	216	12	32	32	NUM
cana-3828	216	13	no	no	NOUN
cana-3828	216	14	.	.	PUNCT
cana-3828	217	1	8s	8s	PROPN
cana-3828	217	2	(	(	PUNCT
cana-3828	217	3	2025	2025	NUM
cana-3828	217	4	)	)	PUNCT
cana-3828	217	5	880	880	NUM
cana-3828	217	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3828	217	7	among	among	ADP
cana-3828	217	8	the	the	DET
cana-3828	217	9	models	model	NOUN
cana-3828	217	10	tested	test	VERB
cana-3828	217	11	,	,	PUNCT
cana-3828	217	12	random	random	ADJ
cana-3828	217	13	forest	forest	NOUN
cana-3828	217	14	achieved	achieve	VERB
cana-3828	217	15	the	the	DET
cana-3828	217	16	highest	high	ADJ
cana-3828	217	17	performance	performance	NOUN
cana-3828	217	18	,	,	PUNCT
cana-3828	217	19	with	with	ADP
cana-3828	217	20	a	a	DET
cana-3828	217	21	crossvalidation	crossvalidation	NOUN
cana-3828	217	22	accuracy	accuracy	NOUN
cana-3828	217	23	of	of	ADP
cana-3828	217	24	99.57	99.57	NUM
cana-3828	217	25	%	%	NOUN
cana-3828	217	26	and	and	CCONJ
cana-3828	217	27	an	an	DET
cana-3828	217	28	overall	overall	ADJ
cana-3828	217	29	accuracy	accuracy	NOUN
cana-3828	217	30	of	of	ADP
cana-3828	217	31	99.78	99.78	NUM
cana-3828	217	32	%	%	NOUN
cana-3828	217	33	.	.	PUNCT
cana-3828	218	1	the	the	DET
cana-3828	218	2	model	model	NOUN
cana-3828	218	3	demonstrated	demonstrate	VERB
cana-3828	218	4	near	near	ADP
cana-3828	218	5	-	-	PUNCT
cana-3828	218	6	perfect	perfect	ADJ
cana-3828	218	7	detection	detection	NOUN
cana-3828	218	8	capabilities	capability	NOUN
cana-3828	218	9	,	,	PUNCT
cana-3828	218	10	with	with	ADP
cana-3828	218	11	minimal	minimal	ADJ
cana-3828	218	12	false	false	ADJ
cana-3828	218	13	positives	positive	NOUN
cana-3828	218	14	and	and	CCONJ
cana-3828	218	15	false	false	ADJ
cana-3828	218	16	negatives	negative	NOUN
cana-3828	218	17	,	,	PUNCT
cana-3828	218	18	making	make	VERB
cana-3828	218	19	it	it	PRON
cana-3828	218	20	the	the	DET
cana-3828	218	21	most	most	ADV
cana-3828	218	22	effective	effective	ADJ
cana-3828	218	23	model	model	NOUN
cana-3828	218	24	for	for	ADP
cana-3828	218	25	ransomware	ransomware	NOUN
cana-3828	218	26	detection	detection	NOUN
cana-3828	218	27	in	in	ADP
cana-3828	218	28	this	this	DET
cana-3828	218	29	study	study	NOUN
cana-3828	218	30	.	.	PUNCT
cana-3828	219	1	gradient	gradient	ADJ
cana-3828	219	2	boosting	boost	VERB
cana-3828	219	3	machines	machine	NOUN
cana-3828	219	4	(	(	PUNCT
cana-3828	219	5	gbm	gbm	NOUN
cana-3828	219	6	)	)	PUNCT
cana-3828	219	7	also	also	ADV
cana-3828	219	8	performed	perform	VERB
cana-3828	219	9	well	well	ADV
cana-3828	219	10	,	,	PUNCT
cana-3828	219	11	with	with	ADP
cana-3828	219	12	an	an	DET
cana-3828	219	13	accuracy	accuracy	NOUN
cana-3828	219	14	of	of	ADP
cana-3828	219	15	99.05	99.05	NUM
cana-3828	219	16	%	%	NOUN
cana-3828	219	17	,	,	PUNCT
cana-3828	219	18	though	though	SCONJ
cana-3828	219	19	it	it	PRON
cana-3828	219	20	fell	fall	VERB
cana-3828	219	21	slightly	slightly	ADV
cana-3828	219	22	behind	behind	ADP
cana-3828	219	23	random	random	ADJ
cana-3828	219	24	forest	forest	NOUN
cana-3828	219	25	in	in	ADP
cana-3828	219	26	terms	term	NOUN
cana-3828	219	27	of	of	ADP
cana-3828	219	28	recall	recall	NOUN
cana-3828	219	29	.	.	PUNCT
cana-3828	220	1	on	on	ADP
cana-3828	220	2	the	the	DET
cana-3828	220	3	other	other	ADJ
cana-3828	220	4	hand	hand	NOUN
cana-3828	220	5	,	,	PUNCT
cana-3828	220	6	logistic	logistic	ADJ
cana-3828	220	7	regression	regression	NOUN
cana-3828	220	8	,	,	PUNCT
cana-3828	220	9	while	while	SCONJ
cana-3828	220	10	useful	useful	ADJ
cana-3828	220	11	for	for	ADP
cana-3828	220	12	its	its	PRON
cana-3828	220	13	interpretability	interpretability	NOUN
cana-3828	220	14	and	and	CCONJ
cana-3828	220	15	simplicity	simplicity	NOUN
cana-3828	220	16	,	,	PUNCT
cana-3828	220	17	struggled	struggle	VERB
cana-3828	220	18	to	to	PART
cana-3828	220	19	match	match	VERB
cana-3828	220	20	the	the	DET
cana-3828	220	21	performance	performance	NOUN
cana-3828	220	22	of	of	ADP
cana-3828	220	23	the	the	DET
cana-3828	220	24	ensemble	ensemble	ADJ
cana-3828	220	25	models	model	NOUN
cana-3828	220	26	,	,	PUNCT
cana-3828	220	27	particularly	particularly	ADV
cana-3828	220	28	in	in	ADP
cana-3828	220	29	detecting	detect	VERB
cana-3828	220	30	ransomware	ransomware	NOUN
cana-3828	220	31	instances	instance	NOUN
cana-3828	220	32	,	,	PUNCT
cana-3828	220	33	as	as	SCONJ
cana-3828	220	34	indicated	indicate	VERB
cana-3828	220	35	by	by	ADP
cana-3828	220	36	its	its	PRON
cana-3828	220	37	lower	low	ADJ
cana-3828	220	38	recall	recall	NOUN
cana-3828	220	39	(	(	PUNCT
cana-3828	220	40	0.61	0.61	NUM
cana-3828	220	41	)	)	PUNCT
cana-3828	220	42	and	and	CCONJ
cana-3828	220	43	overall	overall	ADJ
cana-3828	220	44	accuracy	accuracy	NOUN
cana-3828	220	45	(	(	PUNCT
cana-3828	220	46	79.2	79.2	NUM
cana-3828	220	47	)	)	PUNCT
cana-3828	220	48	the	the	DET
cana-3828	220	49	study	study	NOUN
cana-3828	220	50	highlights	highlight	NOUN
cana-3828	220	51	that	that	PRON
cana-3828	220	52	ensemble	ensemble	ADJ
cana-3828	220	53	models	model	NOUN
cana-3828	220	54	like	like	ADP
cana-3828	220	55	random	random	ADJ
cana-3828	220	56	forest	forest	NOUN
cana-3828	220	57	and	and	CCONJ
cana-3828	220	58	gbm	gbm	PROPN
cana-3828	220	59	are	be	AUX
cana-3828	220	60	better	well	ADV
cana-3828	220	61	suited	suited	ADJ
cana-3828	220	62	for	for	ADP
cana-3828	220	63	handling	handle	VERB
cana-3828	220	64	complex	complex	ADJ
cana-3828	220	65	and	and	CCONJ
cana-3828	220	66	evolving	evolve	VERB
cana-3828	220	67	ransomware	ransomware	NOUN
cana-3828	220	68	patterns	pattern	NOUN
cana-3828	220	69	,	,	PUNCT
cana-3828	220	70	making	make	VERB
cana-3828	220	71	them	they	PRON
cana-3828	220	72	ideal	ideal	ADJ
cana-3828	220	73	choices	choice	NOUN
cana-3828	220	74	for	for	ADP
cana-3828	220	75	cybersecurity	cybersecurity	NOUN
cana-3828	220	76	applications	application	NOUN
cana-3828	220	77	.	.	PUNCT
cana-3828	221	1	however	however	ADV
cana-3828	221	2	,	,	PUNCT
cana-3828	221	3	it	it	PRON
cana-3828	221	4	also	also	ADV
cana-3828	221	5	reveals	reveal	VERB
cana-3828	221	6	that	that	SCONJ
cana-3828	221	7	simpler	simple	ADJ
cana-3828	221	8	models	model	NOUN
cana-3828	221	9	,	,	PUNCT
cana-3828	221	10	such	such	ADJ
cana-3828	221	11	as	as	ADP
cana-3828	221	12	logistic	logistic	ADJ
cana-3828	221	13	regression	regression	NOUN
cana-3828	221	14	,	,	PUNCT
cana-3828	221	15	may	may	AUX
cana-3828	221	16	be	be	AUX
cana-3828	221	17	limited	limit	VERB
cana-3828	221	18	when	when	SCONJ
cana-3828	221	19	dealing	deal	VERB
cana-3828	221	20	with	with	ADP
cana-3828	221	21	high	high	ADJ
cana-3828	221	22	-	-	PUNCT
cana-3828	221	23	dimensional	dimensional	ADJ
cana-3828	221	24	data	datum	NOUN
cana-3828	221	25	or	or	CCONJ
cana-3828	221	26	complex	complex	ADJ
cana-3828	221	27	relationships	relationship	NOUN
cana-3828	221	28	between	between	ADP
cana-3828	221	29	features	feature	NOUN
cana-3828	221	30	.	.	PUNCT
cana-3828	222	1	9	9	X
cana-3828	222	2	.	.	X
cana-3828	222	3	future	future	ADJ
cana-3828	222	4	scope	scope	NOUN
cana-3828	222	5	future	future	ADJ
cana-3828	222	6	work	work	NOUN
cana-3828	222	7	could	could	AUX
cana-3828	222	8	explore	explore	VERB
cana-3828	222	9	the	the	DET
cana-3828	222	10	use	use	NOUN
cana-3828	222	11	of	of	ADP
cana-3828	222	12	deep	deep	ADJ
cana-3828	222	13	learning	learning	NOUN
cana-3828	222	14	techniques	technique	NOUN
cana-3828	222	15	,	,	PUNCT
cana-3828	222	16	such	such	ADJ
cana-3828	222	17	as	as	ADP
cana-3828	222	18	convolutional	convolutional	ADJ
cana-3828	222	19	neural	neural	ADJ
cana-3828	222	20	networks	network	NOUN
cana-3828	222	21	(	(	PUNCT
cana-3828	222	22	cnns	cnns	PROPN
cana-3828	222	23	)	)	PUNCT
cana-3828	222	24	or	or	CCONJ
cana-3828	222	25	recurrent	recurrent	ADJ
cana-3828	222	26	neural	neural	ADJ
cana-3828	222	27	networks	network	NOUN
cana-3828	222	28	(	(	PUNCT
cana-3828	222	29	rnns	rnns	PROPN
cana-3828	222	30	)	)	PUNCT
cana-3828	222	31	,	,	PUNCT
cana-3828	222	32	which	which	PRON
cana-3828	222	33	may	may	AUX
cana-3828	222	34	offer	offer	VERB
cana-3828	222	35	even	even	ADV
cana-3828	222	36	higher	high	ADJ
cana-3828	222	37	accuracy	accuracy	NOUN
cana-3828	222	38	for	for	ADP
cana-3828	222	39	complex	complex	ADJ
cana-3828	222	40	malware	malware	NOUN
cana-3828	222	41	behaviors	behavior	NOUN
cana-3828	222	42	.	.	PUNCT
cana-3828	223	1	additionally	additionally	ADV
cana-3828	223	2	,	,	PUNCT
cana-3828	223	3	developing	develop	VERB
cana-3828	223	4	real	real	ADJ
cana-3828	223	5	-	-	PUNCT
cana-3828	223	6	time	time	NOUN
cana-3828	223	7	detection	detection	NOUN
cana-3828	223	8	systems	system	NOUN
cana-3828	223	9	that	that	PRON
cana-3828	223	10	can	can	AUX
cana-3828	223	11	process	process	VERB
cana-3828	223	12	data	datum	NOUN
cana-3828	223	13	streams	stream	NOUN
cana-3828	223	14	and	and	CCONJ
cana-3828	223	15	detect	detect	VERB
cana-3828	223	16	ransomware	ransomware	NOUN
cana-3828	223	17	before	before	SCONJ
cana-3828	223	18	it	it	PRON
cana-3828	223	19	causes	cause	VERB
cana-3828	223	20	significant	significant	ADJ
cana-3828	223	21	damage	damage	NOUN
cana-3828	223	22	is	be	AUX
cana-3828	223	23	an	an	DET
cana-3828	223	24	essential	essential	ADJ
cana-3828	223	25	area	area	NOUN
cana-3828	223	26	for	for	ADP
cana-3828	223	27	further	further	ADJ
cana-3828	223	28	research	research	NOUN
cana-3828	223	29	.	.	PUNCT
cana-3828	224	1	keywords	keyword	NOUN
cana-3828	224	2	:	:	PUNCT
cana-3828	224	3	machine	machine	NOUN
cana-3828	224	4	learning	learning	NOUN
cana-3828	224	5	;	;	PUNCT
cana-3828	224	6	ransomware	ransomware	NOUN
cana-3828	224	7	techniques	technique	NOUN
cana-3828	224	8	;	;	PUNCT
cana-3828	224	9	cybersecurity	cybersecurity	NOUN
cana-3828	224	10	;	;	PUNCT
cana-3828	224	11	ransomware	ransomware	NOUN
cana-3828	224	12	detection	detection	NOUN
cana-3828	224	13	;	;	PUNCT
cana-3828	224	14	ransomware	ransomware	NOUN
cana-3828	224	15	attacks	attack	NOUN
cana-3828	224	16	refrences	refrence	VERB
cana-3828	224	17	[	[	X
cana-3828	224	18	1	1	NUM
cana-3828	224	19	]	]	X
cana-3828	224	20	rana	rana	PROPN
cana-3828	224	21	,	,	PUNCT
cana-3828	224	22	s.	s.	PROPN
cana-3828	224	23	,	,	PUNCT
cana-3828	224	24	desai	desai	PROPN
cana-3828	224	25	,	,	PUNCT
cana-3828	224	26	a.	a.	PROPN
cana-3828	224	27	,	,	PUNCT
cana-3828	224	28	&	&	CCONJ
cana-3828	224	29	mahajan	mahajan	PROPN
cana-3828	224	30	,	,	PUNCT
cana-3828	224	31	p.	p.	PROPN
cana-3828	224	32	(	(	PUNCT
cana-3828	224	33	2023	2023	NUM
cana-3828	224	34	)	)	PUNCT
cana-3828	224	35	.	.	PUNCT
cana-3828	225	1	gradient	gradient	ADJ
cana-3828	225	2	boosting	boost	VERB
cana-3828	225	3	approach	approach	NOUN
cana-3828	225	4	to	to	ADP
cana-3828	225	5	ransomware	ransomware	NOUN
cana-3828	225	6	detection	detection	NOUN
cana-3828	225	7	.	.	PUNCT
cana-3828	226	1	proceedings	proceeding	NOUN
cana-3828	226	2	of	of	ADP
cana-3828	226	3	the	the	DET
cana-3828	226	4	acm	acm	PROPN
cana-3828	226	5	conference	conference	NOUN
cana-3828	226	6	on	on	ADP
cana-3828	226	7	cybersecurity	cybersecurity	NOUN
cana-3828	226	8	,	,	PUNCT
cana-3828	226	9	34(1	34(1	NUM
cana-3828	226	10	)	)	PUNCT
cana-3828	226	11	,	,	PUNCT
cana-3828	226	12	234	234	NUM
cana-3828	226	13	-	-	SYM
cana-3828	226	14	245	245	NUM
cana-3828	226	15	.	.	PUNCT
cana-3828	227	1	[	[	X
cana-3828	227	2	2	2	NUM
cana-3828	227	3	]	]	PUNCT
cana-3828	227	4	davies	davy	NOUN
cana-3828	227	5	,	,	PUNCT
cana-3828	227	6	t.	t.	PROPN
cana-3828	227	7	,	,	PUNCT
cana-3828	227	8	&	&	CCONJ
cana-3828	227	9	clarke	clarke	PROPN
cana-3828	227	10	,	,	PUNCT
cana-3828	227	11	j.	j.	PROPN
cana-3828	227	12	(	(	PUNCT
cana-3828	227	13	2021	2021	NUM
cana-3828	227	14	)	)	PUNCT
cana-3828	227	15	.	.	PUNCT
cana-3828	228	1	ensemble	ensemble	ADJ
cana-3828	228	2	learning	learning	NOUN
cana-3828	228	3	techniques	technique	NOUN
cana-3828	228	4	for	for	ADP
cana-3828	228	5	cloud	cloud	NOUN
cana-3828	228	6	-	-	PUNCT
cana-3828	228	7	based	base	VERB
cana-3828	228	8	ransomware	ransomware	NOUN
cana-3828	228	9	detection	detection	NOUN
cana-3828	228	10	.	.	PUNCT
cana-3828	229	1	ieee	ieee	NOUN
cana-3828	229	2	transactions	transaction	NOUN
cana-3828	229	3	on	on	ADP
cana-3828	229	4	cloud	cloud	NOUN
cana-3828	229	5	computing	computing	NOUN
cana-3828	229	6	,	,	PUNCT
cana-3828	229	7	18(4	18(4	NUM
cana-3828	229	8	)	)	PUNCT
cana-3828	229	9	,	,	PUNCT
cana-3828	229	10	150	150	NUM
cana-3828	229	11	-	-	SYM
cana-3828	229	12	162	162	NUM
cana-3828	229	13	.	.	PUNCT
cana-3828	230	1	[	[	X
cana-3828	230	2	3	3	NUM
cana-3828	230	3	]	]	X
cana-3828	230	4	murphy	murphy	PROPN
cana-3828	230	5	,	,	PUNCT
cana-3828	230	6	d.	d.	PROPN
cana-3828	230	7	,	,	PUNCT
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cana-3828	232	8	32(7	32(7	NOUN
cana-3828	232	9	)	)	PUNCT
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cana-3828	235	8	)	)	PUNCT
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cana-3828	238	5	)	)	PUNCT
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cana-3828	241	7	)	)	PUNCT
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cana-3828	255	8	)	)	PUNCT
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cana-3828	257	4	)	)	PUNCT
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cana-3828	264	14	)	)	PUNCT
cana-3828	264	15	.	.	PUNCT
cana-3828	265	1	reinforcement	reinforcement	NOUN
cana-3828	265	2	learning	learning	NOUN
cana-3828	265	3	for	for	ADP
cana-3828	265	4	dynamic	dynamic	ADJ
cana-3828	265	5	ransomware	ransomware	NOUN
cana-3828	265	6	detection	detection	NOUN
cana-3828	265	7	.	.	PUNCT
cana-3828	266	1	journal	journal	NOUN
cana-3828	266	2	of	of	ADP
cana-3828	266	3	applied	apply	VERB
cana-3828	266	4	artificial	artificial	ADJ
cana-3828	266	5	intelligence	intelligence	NOUN
cana-3828	266	6	,	,	PUNCT
cana-3828	266	7	27(8	27(8	NUM
cana-3828	266	8	)	)	PUNCT
cana-3828	266	9	,	,	PUNCT
cana-3828	266	10	150	150	NUM
cana-3828	266	11	-	-	SYM
cana-3828	266	12	164	164	NUM
cana-3828	266	13	.	.	PUNCT
cana-3828	267	1	[	[	X
cana-3828	267	2	15	15	NUM
cana-3828	267	3	]	]	X
cana-3828	267	4	amjad	amjad	PROPN
cana-3828	267	5	alraizza	alraizza	PROPN
cana-3828	267	6	and	and	CCONJ
cana-3828	267	7	abdulmohsen	abdulmohsen	VERB
cana-3828	267	8	algarni	algarni	PROPN
cana-3828	267	9	(	(	PUNCT
cana-3828	267	10	2023	2023	NUM
cana-3828	267	11	)	)	PUNCT
cana-3828	267	12	,	,	PUNCT
cana-3828	267	13	ransomware	ransomware	NOUN
cana-3828	267	14	detection	detection	NOUN
cana-3828	267	15	using	use	VERB
cana-3828	267	16	machine	machine	NOUN
cana-3828	267	17	learning	learning	NOUN
cana-3828	267	18	:	:	PUNCT
cana-3828	267	19	a	a	DET
cana-3828	267	20	survey	survey	NOUN
cana-3828	267	21	.	.	PUNCT