id	sid	tid	token	lemma	pos
cana-3817	1	1	communications	communication	NOUN
cana-3817	1	2	on	on	ADP
cana-3817	1	3	applied	apply	VERB
cana-3817	1	4	nonlinear	nonlinear	ADJ
cana-3817	1	5	analysis	analysis	NOUN
cana-3817	1	6	issn	issn	NOUN
cana-3817	1	7	:	:	PUNCT
cana-3817	1	8	1074	1074	NUM
cana-3817	1	9	-	-	PUNCT
cana-3817	1	10	133x	133x	NUM
cana-3817	1	11	vol	vol	NOUN
cana-3817	1	12	32	32	NUM
cana-3817	1	13	no	no	NOUN
cana-3817	1	14	.	.	PUNCT
cana-3817	2	1	8s	8s	PROPN
cana-3817	2	2	(	(	PUNCT
cana-3817	2	3	2025	2025	NUM
cana-3817	2	4	)	)	PUNCT
cana-3817	2	5	integrated	integrate	VERB
cana-3817	2	6	framework	framework	NOUN
cana-3817	2	7	for	for	ADP
cana-3817	2	8	data	datum	NOUN
cana-3817	2	9	security	security	NOUN
cana-3817	2	10	in	in	ADP
cana-3817	2	11	cloud	cloud	NOUN
cana-3817	2	12	computing	computing	NOUN
cana-3817	2	13	using	use	VERB
cana-3817	2	14	deep	deep	ADJ
cana-3817	2	15	learning	learning	NOUN
cana-3817	2	16	techniques	technique	NOUN
cana-3817	2	17	1gantela	1gantela	NUM
cana-3817	2	18	prabhakar	prabhakar	NOUN
cana-3817	2	19	,	,	PUNCT
cana-3817	2	20	2	2	NUM
cana-3817	2	21	bobba	bobba	PROPN
cana-3817	2	22	basaveswara	basaveswara	PROPN
cana-3817	2	23	rao	rao	PROPN
cana-3817	2	24	,	,	PUNCT
cana-3817	2	25	3	3	NUM
cana-3817	2	26	simhadri	simhadri	PROPN
cana-3817	2	27	mallikarjuna	mallikarjuna	PROPN
cana-3817	2	28	rao	rao	PROPN
cana-3817	2	29	1research	1research	NUM
cana-3817	2	30	scholar	scholar	NOUN
cana-3817	2	31	,	,	PUNCT
cana-3817	2	32	2professor	2professor	NUM
cana-3817	2	33	,	,	PUNCT
cana-3817	2	34	3assistant	3assistant	NUM
cana-3817	2	35	professor	professor	NOUN
cana-3817	2	36	1,2department	1,2department	NUM
cana-3817	2	37	of	of	ADP
cana-3817	2	38	computer	computer	NOUN
cana-3817	2	39	science	science	NOUN
cana-3817	2	40	and	and	CCONJ
cana-3817	2	41	engineering	engineering	NOUN
cana-3817	2	42	,	,	PUNCT
cana-3817	2	43	acharya	acharya	PROPN
cana-3817	2	44	nagarjuna	nagarjuna	PROPN
cana-3817	2	45	university	university	PROPN
cana-3817	2	46	,	,	PUNCT
cana-3817	2	47	guntur	guntur	PROPN
cana-3817	2	48	,	,	PUNCT
cana-3817	2	49	andhra	andhra	PROPN
cana-3817	2	50	pradesh	pradesh	PROPN
cana-3817	2	51	,	,	PUNCT
cana-3817	2	52	india	india	PROPN
cana-3817	2	53	3department	3department	PROPN
cana-3817	2	54	of	of	ADP
cana-3817	2	55	information	information	NOUN
cana-3817	2	56	technology	technology	NOUN
cana-3817	2	57	,	,	PUNCT
cana-3817	2	58	vasireddy	vasireddy	NOUN
cana-3817	2	59	venkatadri	venkatadri	NOUN
cana-3817	2	60	international	international	ADJ
cana-3817	2	61	technological	technological	ADJ
cana-3817	2	62	university	university	NOUN
cana-3817	2	63	,	,	PUNCT
cana-3817	2	64	nambur	nambur	PROPN
cana-3817	2	65	,	,	PUNCT
cana-3817	2	66	andhra	andhra	PROPN
cana-3817	2	67	pradesh	pradesh	PROPN
cana-3817	2	68	,	,	PUNCT
cana-3817	2	69	india	india	PROPN
cana-3817	2	70	email	email	NOUN
cana-3817	2	71	:	:	PUNCT
cana-3817	2	72	1gantelaprabhakar@gmail.com	1gantelaprabhakar@gmail.com	NUM
cana-3817	2	73	,	,	PUNCT
cana-3817	2	74	2bobbabrao62@gmail.com	2bobbabrao62@gmail.com	X
cana-3817	2	75	,	,	PUNCT
cana-3817	2	76	3mallikarjun1254@gmail.com	3mallikarjun1254@gmail.com	PROPN
cana-3817	2	77	article	article	NOUN
cana-3817	2	78	history	history	NOUN
cana-3817	2	79	:	:	PUNCT
cana-3817	2	80	received	receive	VERB
cana-3817	2	81	:	:	PUNCT
cana-3817	2	82	08	08	NUM
cana-3817	2	83	-	-	SYM
cana-3817	2	84	11	11	NUM
cana-3817	2	85	-	-	PUNCT
cana-3817	2	86	2024	2024	NUM
cana-3817	2	87	revised:23	revised:23	ADJ
cana-3817	2	88	-	-	PUNCT
cana-3817	2	89	12	12	NUM
cana-3817	2	90	-	-	PUNCT
cana-3817	2	91	2024	2024	NUM
cana-3817	2	92	accepted:08	accepted:08	NOUN
cana-3817	2	93	-	-	PUNCT
cana-3817	2	94	01	01	NUM
cana-3817	2	95	-	-	PUNCT
cana-3817	2	96	2025	2025	NUM
cana-3817	2	97	abstract	abstract	NOUN
cana-3817	2	98	:	:	PUNCT
cana-3817	2	99	alongside	alongside	ADP
cana-3817	2	100	the	the	DET
cana-3817	2	101	expansion	expansion	NOUN
cana-3817	2	102	of	of	ADP
cana-3817	2	103	the	the	DET
cana-3817	2	104	digital	digital	ADJ
cana-3817	2	105	economy	economy	NOUN
cana-3817	2	106	,	,	PUNCT
cana-3817	2	107	data	datum	NOUN
cana-3817	2	108	centers	center	NOUN
cana-3817	2	109	have	have	AUX
cana-3817	2	110	grown	grow	VERB
cana-3817	2	111	substantially	substantially	ADV
cana-3817	2	112	in	in	ADP
cana-3817	2	113	size	size	NOUN
cana-3817	2	114	and	and	CCONJ
cana-3817	2	115	quantity	quantity	NOUN
cana-3817	2	116	.	.	PUNCT
cana-3817	3	1	data	datum	NOUN
cana-3817	3	2	centers	center	NOUN
cana-3817	3	3	are	be	AUX
cana-3817	3	4	becoming	become	VERB
cana-3817	3	5	increasingly	increasingly	ADV
cana-3817	3	6	essential	essential	ADJ
cana-3817	3	7	to	to	ADP
cana-3817	3	8	the	the	DET
cana-3817	3	9	development	development	NOUN
cana-3817	3	10	of	of	ADP
cana-3817	3	11	the	the	DET
cana-3817	3	12	economy	economy	NOUN
cana-3817	3	13	and	and	CCONJ
cana-3817	3	14	society	society	NOUN
cana-3817	3	15	.	.	PUNCT
cana-3817	4	1	however	however	ADV
cana-3817	4	2	,	,	PUNCT
cana-3817	4	3	even	even	ADV
cana-3817	4	4	a	a	DET
cana-3817	4	5	brief	brief	ADJ
cana-3817	4	6	outage	outage	NOUN
cana-3817	4	7	in	in	ADP
cana-3817	4	8	a	a	DET
cana-3817	4	9	data	data	NOUN
cana-3817	4	10	center	center	NOUN
cana-3817	4	11	might	might	AUX
cana-3817	4	12	have	have	VERB
cana-3817	4	13	severely	severely	ADV
cana-3817	4	14	negative	negative	ADJ
cana-3817	4	15	effects	effect	NOUN
cana-3817	4	16	.	.	PUNCT
cana-3817	5	1	resolving	resolve	VERB
cana-3817	5	2	this	this	DET
cana-3817	5	3	issue	issue	NOUN
cana-3817	5	4	requires	require	VERB
cana-3817	5	5	secure	secure	ADJ
cana-3817	5	6	management	management	NOUN
cana-3817	5	7	of	of	ADP
cana-3817	5	8	data	datum	NOUN
cana-3817	5	9	centers	center	NOUN
cana-3817	5	10	'	'	PART
cana-3817	5	11	physical	physical	ADJ
cana-3817	5	12	infrastructure	infrastructure	NOUN
cana-3817	5	13	.	.	PUNCT
cana-3817	6	1	defenses	defense	NOUN
cana-3817	6	2	against	against	ADP
cana-3817	6	3	different	different	ADJ
cana-3817	6	4	cyber	cyber	NOUN
cana-3817	6	5	threats	threat	NOUN
cana-3817	6	6	are	be	AUX
cana-3817	6	7	being	be	AUX
cana-3817	6	8	developed	develop	VERB
cana-3817	6	9	for	for	ADP
cana-3817	6	10	the	the	DET
cana-3817	6	11	internet	internet	NOUN
cana-3817	6	12	of	of	ADP
cana-3817	6	13	things	thing	NOUN
cana-3817	6	14	(	(	PUNCT
cana-3817	6	15	iot	iot	NOUN
cana-3817	6	16	)	)	PUNCT
cana-3817	6	17	and	and	CCONJ
cana-3817	6	18	cyber	cyber	PROPN
cana-3817	6	19	physical	physical	ADJ
cana-3817	6	20	systems	system	NOUN
cana-3817	6	21	(	(	PUNCT
cana-3817	6	22	cps	cps	PROPN
cana-3817	6	23	)	)	PUNCT
cana-3817	6	24	.	.	PUNCT
cana-3817	7	1	as	as	SCONJ
cana-3817	7	2	malicious	malicious	ADJ
cana-3817	7	3	code	code	NOUN
cana-3817	7	4	becomes	become	VERB
cana-3817	7	5	more	more	ADV
cana-3817	7	6	prevalent	prevalent	ADJ
cana-3817	7	7	,	,	PUNCT
cana-3817	7	8	using	use	VERB
cana-3817	7	9	cloud	cloud	ADJ
cana-3817	7	10	environments	environment	NOUN
cana-3817	7	11	to	to	PART
cana-3817	7	12	find	find	VERB
cana-3817	7	13	dangerous	dangerous	ADJ
cana-3817	7	14	code	code	NOUN
cana-3817	7	15	might	might	AUX
cana-3817	7	16	not	not	PART
cana-3817	7	17	be	be	AUX
cana-3817	7	18	a	a	DET
cana-3817	7	19	viable	viable	ADJ
cana-3817	7	20	approach	approach	NOUN
cana-3817	7	21	in	in	ADP
cana-3817	7	22	the	the	DET
cana-3817	7	23	future	future	NOUN
cana-3817	7	24	.	.	PUNCT
cana-3817	8	1	due	due	ADP
cana-3817	8	2	to	to	ADP
cana-3817	8	3	the	the	DET
cana-3817	8	4	growing	grow	VERB
cana-3817	8	5	inefficiency	inefficiency	NOUN
cana-3817	8	6	of	of	ADP
cana-3817	8	7	traditional	traditional	ADJ
cana-3817	8	8	perimeter	perimeter	NOUN
cana-3817	8	9	based	base	VERB
cana-3817	8	10	security	security	NOUN
cana-3817	8	11	models	model	NOUN
cana-3817	8	12	in	in	ADP
cana-3817	8	13	today	today	NOUN
cana-3817	8	14	’s	’s	PART
cana-3817	8	15	cloud	cloud	NOUN
cana-3817	8	16	-	-	PUNCT
cana-3817	8	17	centric	centric	ADJ
cana-3817	8	18	and	and	CCONJ
cana-3817	8	19	remote	remote	ADJ
cana-3817	8	20	work	work	NOUN
cana-3817	8	21	contexts	contexts	NOUN
cana-3817	8	22	,	,	PUNCT
cana-3817	8	23	we	we	PRON
cana-3817	8	24	employed	employ	VERB
cana-3817	8	25	integrated	integrate	VERB
cana-3817	8	26	deep	deep	ADJ
cana-3817	8	27	learning	learning	NOUN
cana-3817	8	28	techniques	technique	NOUN
cana-3817	8	29	for	for	ADP
cana-3817	8	30	cloud	cloud	ADJ
cana-3817	8	31	data	datum	NOUN
cana-3817	8	32	security	security	NOUN
cana-3817	8	33	in	in	ADP
cana-3817	8	34	this	this	DET
cana-3817	8	35	article	article	NOUN
cana-3817	8	36	.	.	PUNCT
cana-3817	9	1	according	accord	VERB
cana-3817	9	2	on	on	ADP
cana-3817	9	3	risk	risk	NOUN
cana-3817	9	4	profiles	profile	NOUN
cana-3817	9	5	and	and	CCONJ
cana-3817	9	6	real	real	ADJ
cana-3817	9	7	-	-	PUNCT
cana-3817	9	8	time	time	NOUN
cana-3817	9	9	behavior	behavior	NOUN
cana-3817	9	10	,	,	PUNCT
cana-3817	9	11	the	the	DET
cana-3817	9	12	suggested	suggest	VERB
cana-3817	9	13	zero	zero	NUM
cana-3817	9	14	-	-	PUNCT
cana-3817	9	15	trust	trust	NOUN
cana-3817	9	16	security	security	NOUN
cana-3817	9	17	framework	framework	NOUN
cana-3817	9	18	continuously	continuously	ADV
cana-3817	9	19	evaluates	evaluate	VERB
cana-3817	9	20	and	and	CCONJ
cana-3817	9	21	modifies	modify	VERB
cana-3817	9	22	the	the	DET
cana-3817	9	23	trust	trust	NOUN
cana-3817	9	24	levels	level	NOUN
cana-3817	9	25	for	for	ADP
cana-3817	9	26	users	user	NOUN
cana-3817	9	27	,	,	PUNCT
cana-3817	9	28	devices	device	NOUN
cana-3817	9	29	,	,	PUNCT
cana-3817	9	30	and	and	CCONJ
cana-3817	9	31	applications	application	NOUN
cana-3817	9	32	.	.	PUNCT
cana-3817	10	1	using	use	VERB
cana-3817	10	2	an	an	DET
cana-3817	10	3	integrated	integrate	VERB
cana-3817	10	4	framework	framework	NOUN
cana-3817	10	5	,	,	PUNCT
cana-3817	10	6	we	we	PRON
cana-3817	10	7	employed	employ	VERB
cana-3817	10	8	user	user	NOUN
cana-3817	10	9	and	and	CCONJ
cana-3817	10	10	entity	entity	NOUN
cana-3817	10	11	behavior	behavior	NOUN
cana-3817	10	12	analytics	analytic	NOUN
cana-3817	10	13	(	(	PUNCT
cana-3817	10	14	ueba	ueba	PROPN
cana-3817	10	15	)	)	PUNCT
cana-3817	10	16	,	,	PUNCT
cana-3817	10	17	risk	risk	NOUN
cana-3817	10	18	scoring	scoring	NOUN
cana-3817	10	19	,	,	PUNCT
cana-3817	10	20	and	and	CCONJ
cana-3817	10	21	adaptive	adaptive	ADJ
cana-3817	10	22	authentication	authentication	NOUN
cana-3817	10	23	approaches	approach	NOUN
cana-3817	10	24	.	.	PUNCT
cana-3817	11	1	this	this	PRON
cana-3817	11	2	enabled	enable	VERB
cana-3817	11	3	us	we	PRON
cana-3817	11	4	to	to	PART
cana-3817	11	5	reach	reach	VERB
cana-3817	11	6	an	an	DET
cana-3817	11	7	accuracy	accuracy	NOUN
cana-3817	11	8	of	of	ADP
cana-3817	11	9	85–90	85–90	NUM
cana-3817	11	10	%	%	NOUN
cana-3817	11	11	in	in	ADP
cana-3817	11	12	all	all	DET
cana-3817	11	13	areas	area	NOUN
cana-3817	11	14	of	of	ADP
cana-3817	11	15	data	datum	NOUN
cana-3817	11	16	security	security	NOUN
cana-3817	11	17	when	when	SCONJ
cana-3817	11	18	compared	compare	VERB
cana-3817	11	19	to	to	ADP
cana-3817	11	20	the	the	DET
cana-3817	11	21	conventional	conventional	ADJ
cana-3817	11	22	methods	method	NOUN
cana-3817	11	23	.	.	PUNCT
cana-3817	12	1	keywords	keyword	NOUN
cana-3817	12	2	:	:	PUNCT
cana-3817	12	3	deep	deep	ADJ
cana-3817	12	4	learning	learning	NOUN
cana-3817	12	5	methods	method	NOUN
cana-3817	12	6	,	,	PUNCT
cana-3817	12	7	cloud	cloud	NOUN
cana-3817	12	8	data	datum	NOUN
cana-3817	12	9	security	security	NOUN
cana-3817	12	10	,	,	PUNCT
cana-3817	12	11	user	user	NOUN
cana-3817	12	12	and	and	CCONJ
cana-3817	12	13	entity	entity	NOUN
cana-3817	12	14	behavior	behavior	NOUN
cana-3817	12	15	analytics	analytic	NOUN
cana-3817	12	16	,	,	PUNCT
cana-3817	12	17	risk	risk	NOUN
cana-3817	12	18	scoring	scoring	NOUN
cana-3817	12	19	and	and	CCONJ
cana-3817	12	20	adaptive	adaptive	ADJ
cana-3817	12	21	authentication	authentication	NOUN
cana-3817	12	22	.	.	PUNCT
cana-3817	13	1	1	1	X
cana-3817	13	2	.	.	X
cana-3817	13	3	introduction	introduction	NOUN
cana-3817	13	4	the	the	DET
cana-3817	13	5	introduction	introduction	NOUN
cana-3817	13	6	of	of	ADP
cana-3817	13	7	cloud	cloud	NOUN
cana-3817	13	8	computing	computing	NOUN
cana-3817	13	9	has	have	AUX
cana-3817	13	10	completely	completely	ADV
cana-3817	13	11	changed	change	VERB
cana-3817	13	12	how	how	SCONJ
cana-3817	13	13	we	we	PRON
cana-3817	13	14	operate	operate	VERB
cana-3817	13	15	and	and	CCONJ
cana-3817	13	16	ushered	usher	VERB
cana-3817	13	17	in	in	ADP
cana-3817	13	18	a	a	DET
cana-3817	13	19	new	new	ADJ
cana-3817	13	20	era	era	NOUN
cana-3817	13	21	of	of	ADP
cana-3817	13	22	remote	remote	ADJ
cana-3817	13	23	work	work	NOUN
cana-3817	13	24	settings	setting	NOUN
cana-3817	13	25	.	.	PUNCT
cana-3817	14	1	remote	remote	ADJ
cana-3817	14	2	work	work	NOUN
cana-3817	14	3	is	be	AUX
cana-3817	14	4	now	now	ADV
cana-3817	14	5	a	a	DET
cana-3817	14	6	key	key	ADJ
cana-3817	14	7	component	component	NOUN
cana-3817	14	8	of	of	ADP
cana-3817	14	9	contemporary	contemporary	ADJ
cana-3817	14	10	company	company	NOUN
cana-3817	14	11	strategies	strategy	NOUN
cana-3817	14	12	,	,	PUNCT
cana-3817	14	13	as	as	SCONJ
cana-3817	14	14	recent	recent	ADJ
cana-3817	14	15	global	global	ADJ
cana-3817	14	16	events	event	NOUN
cana-3817	14	17	have	have	AUX
cana-3817	14	18	further	far	ADV
cana-3817	14	19	expedited	expedite	VERB
cana-3817	14	20	this	this	DET
cana-3817	14	21	paradigm	paradigm	NOUN
cana-3817	14	22	shift	shift	NOUN
cana-3817	14	23	.	.	PUNCT
cana-3817	15	1	because	because	SCONJ
cana-3817	15	2	of	of	ADP
cana-3817	15	3	their	their	PRON
cana-3817	15	4	built	build	VERB
cana-3817	15	5	-	-	PUNCT
cana-3817	15	6	in	in	ADP
cana-3817	15	7	scalability	scalability	NOUN
cana-3817	15	8	and	and	CCONJ
cana-3817	15	9	flexibility	flexibility	NOUN
cana-3817	15	10	,	,	PUNCT
cana-3817	15	11	cloud	cloud	NOUN
cana-3817	15	12	technologies	technology	NOUN
cana-3817	15	13	offer	offer	VERB
cana-3817	15	14	the	the	DET
cana-3817	15	15	fundamental	fundamental	ADJ
cana-3817	15	16	infrastructure	infrastructure	NOUN
cana-3817	15	17	needed	need	VERB
cana-3817	15	18	for	for	SCONJ
cana-3817	15	19	remote	remote	ADJ
cana-3817	15	20	teams	team	NOUN
cana-3817	15	21	to	to	PART
cana-3817	15	22	collaborate	collaborate	VERB
cana-3817	15	23	easily	easily	ADV
cana-3817	15	24	,	,	PUNCT
cana-3817	15	25	access	access	NOUN
cana-3817	15	26	data	datum	NOUN
cana-3817	15	27	and	and	CCONJ
cana-3817	15	28	apps	app	NOUN
cana-3817	15	29	from	from	ADP
cana-3817	15	30	any	any	DET
cana-3817	15	31	location	location	NOUN
cana-3817	15	32	,	,	PUNCT
cana-3817	15	33	and	and	CCONJ
cana-3817	15	34	ensure	ensure	VERB
cana-3817	15	35	business	business	NOUN
cana-3817	15	36	continuity	continuity	NOUN
cana-3817	15	37	.	.	PUNCT
cana-3817	16	1	however	however	ADV
cana-3817	16	2	,	,	PUNCT
cana-3817	16	3	there	there	PRON
cana-3817	16	4	are	be	VERB
cana-3817	16	5	a	a	DET
cana-3817	16	6	number	number	NOUN
cana-3817	16	7	of	of	ADP
cana-3817	16	8	issues	issue	NOUN
cana-3817	16	9	that	that	PRON
cana-3817	16	10	must	must	AUX
cana-3817	16	11	be	be	AUX
cana-3817	16	12	carefully	carefully	ADV
cana-3817	16	13	considered	consider	VERB
cana-3817	16	14	in	in	ADP
cana-3817	16	15	order	order	NOUN
cana-3817	16	16	to	to	PART
cana-3817	16	17	successfully	successfully	ADV
cana-3817	16	18	deploy	deploy	VERB
cana-3817	16	19	remote	remote	ADJ
cana-3817	16	20	work	work	NOUN
cana-3817	16	21	in	in	ADP
cana-3817	16	22	a	a	DET
cana-3817	16	23	cloud	cloud	ADJ
cana-3817	16	24	environment	environment	NOUN
cana-3817	16	25	,	,	PUNCT
cana-3817	16	26	including	include	VERB
cana-3817	16	27	organizational	organizational	ADJ
cana-3817	16	28	culture	culture	NOUN
cana-3817	16	29	,	,	PUNCT
cana-3817	16	30	data	data	NOUN
cana-3817	16	31	protection	protection	NOUN
cana-3817	16	32	,	,	PUNCT
cana-3817	16	33	security	security	NOUN
cana-3817	16	34	,	,	PUNCT
cana-3817	16	35	and	and	CCONJ
cana-3817	16	36	employee	employee	NOUN
cana-3817	16	37	well	well	ADV
cana-3817	16	38	-	-	PUNCT
cana-3817	16	39	being	being	NOUN
cana-3817	16	40	.	.	PUNCT
cana-3817	17	1	the	the	DET
cana-3817	17	2	purpose	purpose	NOUN
cana-3817	17	3	of	of	ADP
cana-3817	17	4	this	this	DET
cana-3817	17	5	study	study	NOUN
cana-3817	17	6	is	be	AUX
cana-3817	17	7	to	to	PART
cana-3817	17	8	examine	examine	VERB
cana-3817	17	9	the	the	DET
cana-3817	17	10	various	various	ADJ
cana-3817	17	11	facets	facet	NOUN
cana-3817	17	12	of	of	ADP
cana-3817	17	13	cloud	cloud	NOUN
cana-3817	17	14	-	-	PUNCT
cana-3817	17	15	based	base	VERB
cana-3817	17	16	remote	remote	ADJ
cana-3817	17	17	work	work	NOUN
cana-3817	17	18	settings	setting	NOUN
cana-3817	17	19	,	,	PUNCT
cana-3817	17	20	examining	examine	VERB
cana-3817	17	21	the	the	DET
cana-3817	17	22	opportunities	opportunity	NOUN
cana-3817	17	23	and	and	CCONJ
cana-3817	17	24	difficulties	difficulty	NOUN
cana-3817	17	25	brought	bring	VERB
cana-3817	17	26	about	about	ADP
cana-3817	17	27	by	by	ADP
cana-3817	17	28	this	this	DET
cana-3817	17	29	changing	change	VERB
cana-3817	17	30	environment	environment	NOUN
cana-3817	17	31	.	.	PUNCT
cana-3817	18	1	a	a	DET
cana-3817	18	2	few	few	ADJ
cana-3817	18	3	disadvantages	disadvantage	NOUN
cana-3817	18	4	of	of	ADP
cana-3817	18	5	not	not	PART
cana-3817	18	6	utilizing	utilize	VERB
cana-3817	18	7	cloud	cloud	ADJ
cana-3817	18	8	computing	computing	NOUN
cana-3817	18	9	's	's	PART
cana-3817	18	10	remote	remote	ADJ
cana-3817	18	11	work	work	NOUN
cana-3817	18	12	environment	environment	NOUN
cana-3817	18	13	include	include	VERB
cana-3817	18	14	:	:	PUNCT
cana-3817	18	15	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	18	16	798	798	NUM
cana-3817	18	17	mailto:gantelaprabhakar@gmail.com,%202bobbabrao62@gmail.com	mailto:gantelaprabhakar@gmail.com,%202bobbabrao62@gmail.com	X
cana-3817	18	18	,	,	PUNCT
cana-3817	18	19	mailto:mallikarjun1254@gmail.com	mailto:mallikarjun1254@gmail.com	PROPN
cana-3817	18	20	communications	communication	NOUN
cana-3817	18	21	on	on	ADP
cana-3817	18	22	applied	apply	VERB
cana-3817	18	23	nonlinear	nonlinear	ADJ
cana-3817	18	24	analysis	analysis	NOUN
cana-3817	18	25	issn	issn	NOUN
cana-3817	18	26	:	:	PUNCT
cana-3817	18	27	1074	1074	NUM
cana-3817	18	28	-	-	PUNCT
cana-3817	18	29	133x	133x	NUM
cana-3817	18	30	vol	vol	NOUN
cana-3817	18	31	32	32	NUM
cana-3817	18	32	no	no	NOUN
cana-3817	18	33	.	.	PUNCT
cana-3817	19	1	8s	8s	PROPN
cana-3817	19	2	(	(	PUNCT
cana-3817	19	3	2025	2025	NUM
cana-3817	19	4	)	)	PUNCT
cana-3817	19	5	799	799	NUM
cana-3817	19	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3817	19	7	limited	limit	VERB
cana-3817	19	8	agility	agility	NOUN
cana-3817	19	9	and	and	CCONJ
cana-3817	19	10	scalability	scalability	NOUN
cana-3817	19	11	:	:	PUNCT
cana-3817	19	12	conventional	conventional	ADJ
cana-3817	19	13	perimeter	perimeter	NOUN
cana-3817	19	14	configurations	configuration	NOUN
cana-3817	19	15	necessitate	necessitate	ADJ
cana-3817	19	16	a	a	DET
cana-3817	19	17	large	large	ADJ
cana-3817	19	18	initial	initial	ADJ
cana-3817	19	19	hardware	hardware	NOUN
cana-3817	19	20	and	and	CCONJ
cana-3817	19	21	infrastructure	infrastructure	NOUN
cana-3817	19	22	investment	investment	NOUN
cana-3817	19	23	.	.	PUNCT
cana-3817	20	1	this	this	PRON
cana-3817	20	2	makes	make	VERB
cana-3817	20	3	it	it	PRON
cana-3817	20	4	more	more	ADV
cana-3817	20	5	difficult	difficult	ADJ
cana-3817	20	6	to	to	PART
cana-3817	20	7	swiftly	swiftly	ADV
cana-3817	20	8	scale	scale	VERB
cana-3817	20	9	resources	resource	NOUN
cana-3817	20	10	up	up	ADV
cana-3817	20	11	or	or	CCONJ
cana-3817	20	12	down	down	ADV
cana-3817	20	13	to	to	PART
cana-3817	20	14	satisfy	satisfy	VERB
cana-3817	20	15	changing	change	VERB
cana-3817	20	16	needs	need	NOUN
cana-3817	20	17	,	,	PUNCT
cana-3817	20	18	which	which	PRON
cana-3817	20	19	impedes	impede	VERB
cana-3817	20	20	company	company	NOUN
cana-3817	20	21	expansion	expansion	NOUN
cana-3817	20	22	and	and	CCONJ
cana-3817	20	23	responsiveness	responsiveness	NOUN
cana-3817	20	24	to	to	ADP
cana-3817	20	25	market	market	NOUN
cana-3817	20	26	shifts	shift	NOUN
cana-3817	20	27	.	.	PUNCT
cana-3817	21	1	the	the	DET
cana-3817	21	2	pay	pay	VERB
cana-3817	21	3	-	-	PUNCT
cana-3817	21	4	as	as	SCONJ
cana-3817	21	5	-	-	PUNCT
cana-3817	21	6	you	you	PRON
cana-3817	21	7	-	-	PUNCT
cana-3817	21	8	go	go	VERB
cana-3817	21	9	approach	approach	NOUN
cana-3817	21	10	of	of	ADP
cana-3817	21	11	cloud	cloud	NOUN
cana-3817	21	12	computing	computing	NOUN
cana-3817	21	13	provides	provide	VERB
cana-3817	21	14	unmatched	unmatched	ADJ
cana-3817	21	15	scalability	scalability	NOUN
cana-3817	21	16	.	.	PUNCT
cana-3817	22	1	decreased	decrease	VERB
cana-3817	22	2	cost	cost	NOUN
cana-3817	22	3	efficiency	efficiency	NOUN
cana-3817	22	4	:	:	PUNCT
cana-3817	22	5	upkeep	upkeep	NOUN
cana-3817	22	6	of	of	ADP
cana-3817	22	7	on	on	ADP
cana-3817	22	8	-	-	PUNCT
cana-3817	22	9	premises	premise	NOUN
cana-3817	22	10	infrastructure	infrastructure	NOUN
cana-3817	22	11	entails	entail	VERB
cana-3817	22	12	significant	significant	ADJ
cana-3817	22	13	recurring	recurring	NOUN
cana-3817	22	14	expenses	expense	NOUN
cana-3817	22	15	,	,	PUNCT
cana-3817	22	16	such	such	ADJ
cana-3817	22	17	as	as	ADP
cana-3817	22	18	energy	energy	NOUN
cana-3817	22	19	consumption	consumption	NOUN
cana-3817	22	20	,	,	PUNCT
cana-3817	22	21	hardware	hardware	NOUN
cana-3817	22	22	and	and	CCONJ
cana-3817	22	23	software	software	NOUN
cana-3817	22	24	maintenance	maintenance	NOUN
cana-3817	22	25	,	,	PUNCT
cana-3817	22	26	and	and	CCONJ
cana-3817	22	27	it	it	PRON
cana-3817	22	28	is	be	AUX
cana-3817	22	29	possible	possible	ADJ
cana-3817	22	30	to	to	PART
cana-3817	22	31	sustain	sustain	VERB
cana-3817	22	32	the	the	DET
cana-3817	22	33	costs	cost	NOUN
cana-3817	22	34	of	of	ADP
cana-3817	22	35	dedicated	dedicate	VERB
cana-3817	22	36	it	it	PRON
cana-3817	22	37	personnel	personnel	NOUN
cana-3817	22	38	,	,	PUNCT
cana-3817	22	39	cooling	cooling	NOUN
cana-3817	22	40	,	,	PUNCT
cana-3817	22	41	and	and	CCONJ
cana-3817	22	42	physical	physical	ADJ
cana-3817	22	43	space	space	NOUN
cana-3817	22	44	.	.	PUNCT
cana-3817	23	1	decreased	decrease	VERB
cana-3817	23	2	competitiveness	competitiveness	NOUN
cana-3817	23	3	:	:	PUNCT
cana-3817	23	4	businesses	business	NOUN
cana-3817	23	5	that	that	PRON
cana-3817	23	6	only	only	ADV
cana-3817	23	7	use	use	VERB
cana-3817	23	8	on	on	ADP
cana-3817	23	9	-	-	PUNCT
cana-3817	23	10	premises	premise	NOUN
cana-3817	23	11	infrastructure	infrastructure	NOUN
cana-3817	23	12	can	can	AUX
cana-3817	23	13	find	find	VERB
cana-3817	23	14	it	it	PRON
cana-3817	23	15	difficult	difficult	ADJ
cana-3817	23	16	to	to	PART
cana-3817	23	17	stay	stay	VERB
cana-3817	23	18	up	up	ADP
cana-3817	23	19	with	with	ADP
cana-3817	23	20	rivals	rival	NOUN
cana-3817	23	21	who	who	PRON
cana-3817	23	22	take	take	VERB
cana-3817	23	23	use	use	NOUN
cana-3817	23	24	of	of	ADP
cana-3817	23	25	cloud	cloud	ADJ
cana-3817	23	26	computing	computing	NOUN
cana-3817	23	27	's	's	PART
cana-3817	23	28	cost	cost	NOUN
cana-3817	23	29	-	-	PUNCT
cana-3817	23	30	effectiveness	effectiveness	NOUN
cana-3817	23	31	and	and	CCONJ
cana-3817	23	32	adaptability	adaptability	NOUN
cana-3817	23	33	.	.	PUNCT
cana-3817	24	1	restricted	restrict	VERB
cana-3817	24	2	availability	availability	NOUN
cana-3817	24	3	of	of	ADP
cana-3817	24	4	cutting	cut	VERB
cana-3817	24	5	-	-	PUNCT
cana-3817	24	6	edge	edge	NOUN
cana-3817	24	7	technology	technology	NOUN
cana-3817	24	8	:	:	PUNCT
cana-3817	24	9	cloud	cloud	NOUN
cana-3817	24	10	service	service	NOUN
cana-3817	24	11	providers	provider	NOUN
cana-3817	24	12	are	be	AUX
cana-3817	24	13	always	always	ADV
cana-3817	24	14	investing	invest	VERB
cana-3817	24	15	in	in	ADP
cana-3817	24	16	the	the	DET
cana-3817	24	17	newest	new	ADJ
cana-3817	24	18	innovations	innovation	NOUN
cana-3817	24	19	,	,	PUNCT
cana-3817	24	20	like	like	ADP
cana-3817	24	21	artificial	artificial	ADJ
cana-3817	24	22	intelligence	intelligence	NOUN
cana-3817	24	23	,	,	PUNCT
cana-3817	24	24	machine	machine	NOUN
cana-3817	24	25	learning	learning	NOUN
cana-3817	24	26	,	,	PUNCT
cana-3817	24	27	and	and	CCONJ
cana-3817	24	28	big	big	ADJ
cana-3817	24	29	data	datum	NOUN
cana-3817	24	30	analytics	analytic	NOUN
cana-3817	24	31	.	.	PUNCT
cana-3817	25	1	businesses	business	NOUN
cana-3817	25	2	risk	risk	VERB
cana-3817	25	3	missing	miss	VERB
cana-3817	25	4	out	out	ADP
cana-3817	25	5	on	on	ADP
cana-3817	25	6	these	these	DET
cana-3817	25	7	innovative	innovative	ADJ
cana-3817	25	8	tools	tool	NOUN
cana-3817	25	9	and	and	CCONJ
cana-3817	25	10	technology	technology	NOUN
cana-3817	25	11	if	if	SCONJ
cana-3817	25	12	they	they	PRON
cana-3817	25	13	do	do	AUX
cana-3817	25	14	n't	not	PART
cana-3817	25	15	use	use	VERB
cana-3817	25	16	cloud	cloud	NOUN
cana-3817	25	17	services	service	NOUN
cana-3817	25	18	.	.	PUNCT
cana-3817	26	1	lost	lose	VERB
cana-3817	26	2	chances	chance	NOUN
cana-3817	26	3	to	to	PART
cana-3817	26	4	be	be	AUX
cana-3817	26	5	innovative	innovative	ADJ
cana-3817	26	6	:	:	PUNCT
cana-3817	26	7	infrastructure	infrastructure	NOUN
cana-3817	26	8	upkeep	upkeep	NOUN
cana-3817	26	9	can	can	AUX
cana-3817	26	10	divert	divert	VERB
cana-3817	26	11	attention	attention	NOUN
cana-3817	26	12	from	from	ADP
cana-3817	26	13	innovation	innovation	NOUN
cana-3817	26	14	and	and	CCONJ
cana-3817	26	15	fundamental	fundamental	ADJ
cana-3817	26	16	corporate	corporate	ADJ
cana-3817	26	17	operations	operation	NOUN
cana-3817	26	18	.	.	PUNCT
cana-3817	27	1	it	it	PRON
cana-3817	27	2	staff	staff	NOUN
cana-3817	27	3	may	may	AUX
cana-3817	27	4	now	now	ADV
cana-3817	27	5	concentrate	concentrate	VERB
cana-3817	27	6	on	on	ADP
cana-3817	27	7	strategic	strategic	ADJ
cana-3817	27	8	initiatives	initiative	NOUN
cana-3817	27	9	like	like	ADP
cana-3817	27	10	creating	create	VERB
cana-3817	27	11	new	new	ADJ
cana-3817	27	12	goods	good	NOUN
cana-3817	27	13	and	and	CCONJ
cana-3817	27	14	services	service	NOUN
cana-3817	27	15	thanks	thank	NOUN
cana-3817	27	16	to	to	ADP
cana-3817	27	17	cloud	cloud	NOUN
cana-3817	27	18	computing	computing	NOUN
cana-3817	27	19	.	.	PUNCT
cana-3817	28	1	cloud	cloud	NOUN
cana-3817	28	2	computing	compute	VERB
cana-3817	28	3	environments	environment	NOUN
cana-3817	28	4	are	be	AUX
cana-3817	28	5	quickly	quickly	ADV
cana-3817	28	6	running	run	VERB
cana-3817	28	7	into	into	ADP
cana-3817	28	8	a	a	DET
cana-3817	28	9	variety	variety	NOUN
cana-3817	28	10	of	of	ADP
cana-3817	28	11	problems	problem	NOUN
cana-3817	28	12	with	with	ADP
cana-3817	28	13	traditional	traditional	ADJ
cana-3817	28	14	perimeter	perimeter	NOUN
cana-3817	28	15	-	-	PUNCT
cana-3817	28	16	based	base	VERB
cana-3817	28	17	security	security	NOUN
cana-3817	28	18	solutions	solution	NOUN
cana-3817	28	19	.	.	PUNCT
cana-3817	29	1	some	some	PRON
cana-3817	29	2	of	of	ADP
cana-3817	29	3	the	the	DET
cana-3817	29	4	most	most	ADV
cana-3817	29	5	recent	recent	ADJ
cana-3817	29	6	problems	problem	NOUN
cana-3817	29	7	with	with	ADP
cana-3817	29	8	these	these	DET
cana-3817	29	9	models	model	NOUN
cana-3817	29	10	include	include	VERB
cana-3817	29	11	the	the	DET
cana-3817	29	12	following	following	NOUN
cana-3817	29	13	:	:	PUNCT
cana-3817	29	14	perimeter	perimeter	PROPN
cana-3817	29	15	boundary	boundary	PROPN
cana-3817	29	16	erosion	erosion	NOUN
cana-3817	29	17	:	:	PUNCT
cana-3817	29	18	decentralized	decentralize	VERB
cana-3817	29	19	cloud	cloud	NOUN
cana-3817	29	20	ecosystems	ecosystem	NOUN
cana-3817	29	21	include	include	VERB
cana-3817	29	22	:	:	PUNCT
cana-3817	29	23	because	because	SCONJ
cana-3817	29	24	cloud	cloud	ADJ
cana-3817	29	25	settings	setting	NOUN
cana-3817	29	26	are	be	AUX
cana-3817	29	27	dynamic	dynamic	ADJ
cana-3817	29	28	and	and	CCONJ
cana-3817	29	29	dispersed	disperse	VERB
cana-3817	29	30	over	over	ADP
cana-3817	29	31	numerous	numerous	ADJ
cana-3817	29	32	places	place	NOUN
cana-3817	29	33	and	and	CCONJ
cana-3817	29	34	networks	network	NOUN
cana-3817	29	35	,	,	PUNCT
cana-3817	29	36	the	the	DET
cana-3817	29	37	idea	idea	NOUN
cana-3817	29	38	of	of	ADP
cana-3817	29	39	a	a	DET
cana-3817	29	40	distinct	distinct	ADJ
cana-3817	29	41	,	,	PUNCT
cana-3817	29	42	fixed	fix	VERB
cana-3817	29	43	border	border	NOUN
cana-3817	29	44	loses	lose	VERB
cana-3817	29	45	significance	significance	NOUN
cana-3817	29	46	.	.	PUNCT
cana-3817	30	1	when	when	SCONJ
cana-3817	30	2	workloads	workload	NOUN
cana-3817	30	3	are	be	AUX
cana-3817	30	4	distributed	distribute	VERB
cana-3817	30	5	among	among	ADP
cana-3817	30	6	several	several	ADJ
cana-3817	30	7	cloud	cloud	NOUN
cana-3817	30	8	providers	provider	NOUN
cana-3817	30	9	or	or	CCONJ
cana-3817	30	10	migrate	migrate	VERB
cana-3817	30	11	between	between	ADP
cana-3817	30	12	public	public	ADJ
cana-3817	30	13	and	and	CCONJ
cana-3817	30	14	private	private	ADJ
cana-3817	30	15	clouds	cloud	NOUN
cana-3817	30	16	,	,	PUNCT
cana-3817	30	17	it	it	PRON
cana-3817	30	18	can	can	AUX
cana-3817	30	19	be	be	AUX
cana-3817	30	20	challenging	challenge	VERB
cana-3817	30	21	to	to	PART
cana-3817	30	22	define	define	VERB
cana-3817	30	23	boundaries	boundary	NOUN
cana-3817	30	24	.	.	PUNCT
cana-3817	31	1	utilizing	utilize	VERB
cana-3817	31	2	mobile	mobile	ADJ
cana-3817	31	3	devices	device	NOUN
cana-3817	31	4	and	and	CCONJ
cana-3817	31	5	working	work	VERB
cana-3817	31	6	remotely	remotely	ADV
cana-3817	31	7	:	:	PUNCT
cana-3817	31	8	all	all	DET
cana-3817	31	9	users	user	NOUN
cana-3817	31	10	are	be	AUX
cana-3817	31	11	assumed	assume	VERB
cana-3817	31	12	to	to	PART
cana-3817	31	13	be	be	AUX
cana-3817	31	14	inside	inside	ADP
cana-3817	31	15	a	a	DET
cana-3817	31	16	well	well	ADV
cana-3817	31	17	-	-	PUNCT
cana-3817	31	18	defined	define	VERB
cana-3817	31	19	perimeter	perimeter	NOUN
cana-3817	31	20	(	(	PUNCT
cana-3817	31	21	such	such	ADJ
cana-3817	31	22	as	as	ADP
cana-3817	31	23	a	a	DET
cana-3817	31	24	corporate	corporate	ADJ
cana-3817	31	25	network	network	NOUN
cana-3817	31	26	)	)	PUNCT
cana-3817	31	27	under	under	ADP
cana-3817	31	28	traditional	traditional	ADJ
cana-3817	31	29	perimeter	perimeter	NOUN
cana-3817	31	30	-	-	PUNCT
cana-3817	31	31	based	base	VERB
cana-3817	31	32	security	security	NOUN
cana-3817	31	33	.	.	PUNCT
cana-3817	32	1	due	due	ADP
cana-3817	32	2	to	to	ADP
cana-3817	32	3	the	the	DET
cana-3817	32	4	proliferation	proliferation	NOUN
cana-3817	32	5	of	of	ADP
cana-3817	32	6	mobile	mobile	ADJ
cana-3817	32	7	devices	device	NOUN
cana-3817	32	8	,	,	PUNCT
cana-3817	32	9	remote	remote	ADJ
cana-3817	32	10	work	work	NOUN
cana-3817	32	11	,	,	PUNCT
cana-3817	32	12	and	and	CCONJ
cana-3817	32	13	bring	bring	VERB
cana-3817	32	14	your	your	PRON
cana-3817	32	15	own	own	ADJ
cana-3817	32	16	device	device	NOUN
cana-3817	32	17	(	(	PUNCT
cana-3817	32	18	byod	byod	NOUN
cana-3817	32	19	)	)	PUNCT
cana-3817	32	20	policies	policy	NOUN
cana-3817	32	21	,	,	PUNCT
cana-3817	32	22	users	user	NOUN
cana-3817	32	23	now	now	ADV
cana-3817	32	24	routinely	routinely	ADV
cana-3817	32	25	access	access	VERB
cana-3817	32	26	cloud	cloud	NOUN
cana-3817	32	27	resources	resource	NOUN
cana-3817	32	28	outside	outside	ADP
cana-3817	32	29	of	of	ADP
cana-3817	32	30	conventional	conventional	ADJ
cana-3817	32	31	networks	network	NOUN
cana-3817	32	32	.	.	PUNCT
cana-3817	33	1	increased	increase	VERB
cana-3817	33	2	complexity	complexity	NOUN
cana-3817	33	3	with	with	ADP
cana-3817	33	4	hybrid	hybrid	NOUN
cana-3817	33	5	and	and	CCONJ
cana-3817	33	6	multi	multi	ADJ
cana-3817	33	7	-	-	ADJ
cana-3817	33	8	cloud	cloud	ADJ
cana-3817	33	9	deployments	deployment	NOUN
cana-3817	33	10	:	:	PUNCT
cana-3817	33	11	adoption	adoption	NOUN
cana-3817	33	12	of	of	ADP
cana-3817	33	13	numerous	numerous	ADJ
cana-3817	33	14	clouds	cloud	NOUN
cana-3817	33	15	:	:	PUNCT
cana-3817	33	16	a	a	DET
cana-3817	33	17	lot	lot	NOUN
cana-3817	33	18	of	of	ADP
cana-3817	33	19	businesses	business	NOUN
cana-3817	33	20	currently	currently	ADV
cana-3817	33	21	combine	combine	VERB
cana-3817	33	22	private	private	ADJ
cana-3817	33	23	clouds	cloud	NOUN
cana-3817	33	24	,	,	PUNCT
cana-3817	33	25	on	on	ADP
cana-3817	33	26	-	-	PUNCT
cana-3817	33	27	premises	premise	NOUN
cana-3817	33	28	infrastructure	infrastructure	NOUN
cana-3817	33	29	,	,	PUNCT
cana-3817	33	30	and	and	CCONJ
cana-3817	33	31	several	several	ADJ
cana-3817	33	32	public	public	ADJ
cana-3817	33	33	cloud	cloud	NOUN
cana-3817	33	34	providers	provider	NOUN
cana-3817	33	35	.	.	PUNCT
cana-3817	34	1	due	due	ADP
cana-3817	34	2	to	to	ADP
cana-3817	34	3	their	their	PRON
cana-3817	34	4	inability	inability	NOUN
cana-3817	34	5	to	to	PART
cana-3817	34	6	adequately	adequately	ADV
cana-3817	34	7	cover	cover	VERB
cana-3817	34	8	all	all	DET
cana-3817	34	9	environments	environment	NOUN
cana-3817	34	10	,	,	PUNCT
cana-3817	34	11	traditional	traditional	ADJ
cana-3817	34	12	perimeter	perimeter	NOUN
cana-3817	34	13	defenses	defense	NOUN
cana-3817	34	14	like	like	ADP
cana-3817	34	15	firewalls	firewall	NOUN
cana-3817	34	16	and	and	CCONJ
cana-3817	34	17	vpns	vpns	NOUN
cana-3817	34	18	leave	leave	VERB
cana-3817	34	19	holes	hole	NOUN
cana-3817	34	20	in	in	ADP
cana-3817	34	21	visibility	visibility	NOUN
cana-3817	34	22	and	and	CCONJ
cana-3817	34	23	control	control	NOUN
cana-3817	34	24	.	.	PUNCT
cana-3817	35	1	complicated	complicated	ADJ
cana-3817	35	2	security	security	NOUN
cana-3817	35	3	policies	policy	NOUN
cana-3817	35	4	:	:	PUNCT
cana-3817	35	5	overseeing	oversee	VERB
cana-3817	35	6	security	security	NOUN
cana-3817	35	7	policies	policy	NOUN
cana-3817	35	8	on	on	ADP
cana-3817	35	9	several	several	ADJ
cana-3817	35	10	cloud	cloud	NOUN
cana-3817	35	11	platforms	platform	NOUN
cana-3817	35	12	adds	add	VERB
cana-3817	35	13	to	to	ADP
cana-3817	35	14	the	the	DET
cana-3817	35	15	level	level	NOUN
cana-3817	35	16	of	of	ADP
cana-3817	35	17	complexity	complexity	NOUN
cana-3817	35	18	and	and	CCONJ
cana-3817	35	19	may	may	AUX
cana-3817	35	20	result	result	VERB
cana-3817	35	21	in	in	ADP
cana-3817	35	22	uneven	uneven	ADJ
cana-3817	35	23	security	security	NOUN
cana-3817	35	24	control	control	NOUN
cana-3817	35	25	implementation	implementation	NOUN
cana-3817	35	26	.	.	PUNCT
cana-3817	36	1	zero	zero	NUM
cana-3817	36	2	-	-	PUNCT
cana-3817	36	3	trust	trust	NOUN
cana-3817	36	4	requirements	requirement	NOUN
cana-3817	36	5	need	need	VERB
cana-3817	36	6	for	for	ADP
cana-3817	36	7	zero	zero	NUM
cana-3817	36	8	trust	trust	NOUN
cana-3817	36	9	:	:	PUNCT
cana-3817	36	10	conventional	conventional	ADJ
cana-3817	36	11	approaches	approach	NOUN
cana-3817	36	12	of	of	ADP
cana-3817	36	13	trusting	trust	VERB
cana-3817	36	14	internal	internal	ADJ
cana-3817	36	15	traffic	traffic	NOUN
cana-3817	36	16	(	(	PUNCT
cana-3817	36	17	inside	inside	ADP
cana-3817	36	18	the	the	DET
cana-3817	36	19	corporate	corporate	ADJ
cana-3817	36	20	network	network	NOUN
cana-3817	36	21	)	)	PUNCT
cana-3817	36	22	are	be	AUX
cana-3817	36	23	no	no	ADV
cana-3817	36	24	longer	long	ADV
cana-3817	36	25	adequate	adequate	ADJ
cana-3817	36	26	due	due	ADP
cana-3817	36	27	to	to	ADP
cana-3817	36	28	the	the	DET
cana-3817	36	29	premise	premise	NOUN
cana-3817	36	30	that	that	SCONJ
cana-3817	36	31	dangers	danger	NOUN
cana-3817	36	32	can	can	AUX
cana-3817	36	33	exist	exist	VERB
cana-3817	36	34	both	both	CCONJ
cana-3817	36	35	inside	inside	ADP
cana-3817	36	36	and	and	CCONJ
cana-3817	36	37	beyond	beyond	ADP
cana-3817	36	38	the	the	DET
cana-3817	36	39	communications	communication	NOUN
cana-3817	36	40	on	on	ADP
cana-3817	36	41	applied	apply	VERB
cana-3817	36	42	nonlinear	nonlinear	ADJ
cana-3817	36	43	analysis	analysis	NOUN
cana-3817	36	44	issn	issn	NOUN
cana-3817	36	45	:	:	PUNCT
cana-3817	36	46	1074	1074	NUM
cana-3817	36	47	-	-	PUNCT
cana-3817	36	48	133x	133x	NUM
cana-3817	36	49	vol	vol	NOUN
cana-3817	36	50	32	32	NUM
cana-3817	36	51	no	no	NOUN
cana-3817	36	52	.	.	PUNCT
cana-3817	37	1	8s	8s	PROPN
cana-3817	37	2	(	(	PUNCT
cana-3817	37	3	2025	2025	NUM
cana-3817	37	4	)	)	PUNCT
cana-3817	37	5	800	800	NUM
cana-3817	37	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	37	7	perimeter	perimeter	NOUN
cana-3817	37	8	.	.	PUNCT
cana-3817	38	1	perimeter	perimeter	NOUN
cana-3817	38	2	-	-	PUNCT
cana-3817	38	3	based	base	VERB
cana-3817	38	4	security	security	NOUN
cana-3817	38	5	is	be	AUX
cana-3817	38	6	becoming	become	VERB
cana-3817	38	7	less	less	ADV
cana-3817	38	8	successful	successful	ADJ
cana-3817	38	9	in	in	ADP
cana-3817	38	10	cloud	cloud	ADJ
cana-3817	38	11	environments	environment	NOUN
cana-3817	38	12	due	due	ADP
cana-3817	38	13	to	to	ADP
cana-3817	38	14	the	the	DET
cana-3817	38	15	growing	grow	VERB
cana-3817	38	16	importance	importance	NOUN
cana-3817	38	17	of	of	ADP
cana-3817	38	18	zero	zero	NUM
cana-3817	38	19	-	-	PUNCT
cana-3817	38	20	trust	trust	NOUN
cana-3817	38	21	security	security	NOUN
cana-3817	38	22	models	model	NOUN
cana-3817	38	23	,	,	PUNCT
cana-3817	38	24	which	which	PRON
cana-3817	38	25	authenticate	authenticate	VERB
cana-3817	38	26	and	and	CCONJ
cana-3817	38	27	verify	verify	VERB
cana-3817	38	28	every	every	DET
cana-3817	38	29	request	request	NOUN
cana-3817	38	30	independent	independent	ADJ
cana-3817	38	31	of	of	ADP
cana-3817	38	32	the	the	DET
cana-3817	38	33	user	user	NOUN
cana-3817	38	34	's	's	PART
cana-3817	38	35	location	location	NOUN
cana-3817	38	36	.	.	PUNCT
cana-3817	39	1	lack	lack	NOUN
cana-3817	39	2	of	of	ADP
cana-3817	39	3	context	context	NOUN
cana-3817	39	4	in	in	ADP
cana-3817	39	5	traditional	traditional	ADJ
cana-3817	39	6	models	model	NOUN
cana-3817	39	7	:	:	PUNCT
cana-3817	39	8	traditional	traditional	ADJ
cana-3817	39	9	security	security	NOUN
cana-3817	39	10	is	be	AUX
cana-3817	39	11	less	less	ADV
cana-3817	39	12	suited	suited	ADJ
cana-3817	39	13	to	to	ADP
cana-3817	39	14	the	the	DET
cana-3817	39	15	dynamic	dynamic	ADJ
cana-3817	39	16	nature	nature	NOUN
cana-3817	39	17	of	of	ADP
cana-3817	39	18	cloud	cloud	ADJ
cana-3817	39	19	environments	environment	NOUN
cana-3817	39	20	because	because	SCONJ
cana-3817	39	21	it	it	PRON
cana-3817	39	22	frequently	frequently	ADV
cana-3817	39	23	neglects	neglect	VERB
cana-3817	39	24	to	to	PART
cana-3817	39	25	continuously	continuously	ADV
cana-3817	39	26	assess	assess	VERB
cana-3817	39	27	context	context	NOUN
cana-3817	39	28	,	,	PUNCT
cana-3817	39	29	such	such	ADJ
cana-3817	39	30	as	as	ADP
cana-3817	39	31	the	the	DET
cana-3817	39	32	user	user	NOUN
cana-3817	39	33	's	's	PART
cana-3817	39	34	device	device	NOUN
cana-3817	39	35	,	,	PUNCT
cana-3817	39	36	location	location	NOUN
cana-3817	39	37	,	,	PUNCT
cana-3817	39	38	or	or	CCONJ
cana-3817	39	39	behavior	behavior	NOUN
cana-3817	39	40	.	.	PUNCT
cana-3817	40	1	lack	lack	NOUN
cana-3817	40	2	of	of	ADP
cana-3817	40	3	granular	granular	ADJ
cana-3817	40	4	control	control	NOUN
cana-3817	40	5	limited	limit	VERB
cana-3817	40	6	visibility	visibility	NOUN
cana-3817	40	7	and	and	CCONJ
cana-3817	40	8	segmentation	segmentation	NOUN
cana-3817	40	9	:	:	PUNCT
cana-3817	40	10	while	while	SCONJ
cana-3817	40	11	traditional	traditional	ADJ
cana-3817	40	12	perimeter	perimeter	NOUN
cana-3817	40	13	security	security	NOUN
cana-3817	40	14	aims	aim	VERB
cana-3817	40	15	to	to	PART
cana-3817	40	16	stop	stop	VERB
cana-3817	40	17	unwanted	unwanted	ADJ
cana-3817	40	18	exterior	exterior	ADJ
cana-3817	40	19	access	access	NOUN
cana-3817	40	20	,	,	PUNCT
cana-3817	40	21	it	it	PRON
cana-3817	40	22	is	be	AUX
cana-3817	40	23	not	not	PART
cana-3817	40	24	as	as	ADV
cana-3817	40	25	detailed	detailed	ADJ
cana-3817	40	26	in	in	ADP
cana-3817	40	27	managing	manage	VERB
cana-3817	40	28	and	and	CCONJ
cana-3817	40	29	keeping	keep	VERB
cana-3817	40	30	an	an	DET
cana-3817	40	31	eye	eye	NOUN
cana-3817	40	32	on	on	ADP
cana-3817	40	33	network	network	NOUN
cana-3817	40	34	activities	activity	NOUN
cana-3817	40	35	or	or	CCONJ
cana-3817	40	36	user	user	NOUN
cana-3817	40	37	behavior	behavior	NOUN
cana-3817	40	38	inside	inside	ADP
cana-3817	40	39	the	the	DET
cana-3817	40	40	cloud	cloud	NOUN
cana-3817	40	41	environment	environment	NOUN
cana-3817	40	42	.	.	PUNCT
cana-3817	41	1	in	in	ADP
cana-3817	41	2	a	a	DET
cana-3817	41	3	perimeter	perimeter	NOUN
cana-3817	41	4	-	-	PUNCT
cana-3817	41	5	focused	focus	VERB
cana-3817	41	6	strategy	strategy	NOUN
cana-3817	41	7	,	,	PUNCT
cana-3817	41	8	fine	fine	ADV
cana-3817	41	9	-	-	PUNCT
cana-3817	41	10	grained	grain	VERB
cana-3817	41	11	controls	control	NOUN
cana-3817	41	12	like	like	ADP
cana-3817	41	13	micro	micro	NOUN
cana-3817	41	14	-	-	NOUN
cana-3817	41	15	segmentation	segmentation	NOUN
cana-3817	41	16	—	—	PUNCT
cana-3817	41	17	which	which	PRON
cana-3817	41	18	can	can	AUX
cana-3817	41	19	separate	separate	VERB
cana-3817	41	20	tasks	task	NOUN
cana-3817	41	21	and	and	CCONJ
cana-3817	41	22	restrict	restrict	VERB
cana-3817	41	23	lateral	lateral	ADJ
cana-3817	41	24	movement	movement	NOUN
cana-3817	41	25	—	—	PUNCT
cana-3817	41	26	are	be	AUX
cana-3817	41	27	sometimes	sometimes	ADV
cana-3817	41	28	absent	absent	ADJ
cana-3817	41	29	or	or	CCONJ
cana-3817	41	30	impractical	impractical	ADJ
cana-3817	41	31	?	?	PUNCT
cana-3817	42	1	application	application	NOUN
cana-3817	42	2	-	-	PUNCT
cana-3817	42	3	layer	layer	NOUN
cana-3817	42	4	security	security	NOUN
cana-3817	42	5	is	be	AUX
cana-3817	42	6	lacking	lack	VERB
cana-3817	42	7	:	:	PUNCT
cana-3817	42	8	while	while	SCONJ
cana-3817	42	9	traditional	traditional	ADJ
cana-3817	42	10	security	security	NOUN
cana-3817	42	11	measures	measure	NOUN
cana-3817	42	12	often	often	ADV
cana-3817	42	13	concentrate	concentrate	VERB
cana-3817	42	14	on	on	ADP
cana-3817	42	15	network	network	NOUN
cana-3817	42	16	-	-	PUNCT
cana-3817	42	17	level	level	NOUN
cana-3817	42	18	defenses	defense	NOUN
cana-3817	42	19	(	(	PUNCT
cana-3817	42	20	such	such	ADJ
cana-3817	42	21	firewalls	firewall	NOUN
cana-3817	42	22	)	)	PUNCT
cana-3817	42	23	,	,	PUNCT
cana-3817	42	24	contemporary	contemporary	ADJ
cana-3817	42	25	cloud	cloud	NOUN
cana-3817	42	26	apps	app	NOUN
cana-3817	42	27	need	need	VERB
cana-3817	42	28	more	more	ADV
cana-3817	42	29	sophisticated	sophisticated	ADJ
cana-3817	42	30	controls	control	NOUN
cana-3817	42	31	at	at	ADP
cana-3817	42	32	the	the	DET
cana-3817	42	33	application	application	NOUN
cana-3817	42	34	layer	layer	NOUN
cana-3817	42	35	,	,	PUNCT
cana-3817	42	36	such	such	ADJ
cana-3817	42	37	as	as	ADP
cana-3817	42	38	encryption	encryption	NOUN
cana-3817	42	39	,	,	PUNCT
cana-3817	42	40	identity	identity	NOUN
cana-3817	42	41	and	and	CCONJ
cana-3817	42	42	access	access	NOUN
cana-3817	42	43	management	management	NOUN
cana-3817	42	44	(	(	PUNCT
cana-3817	42	45	iam	iam	PROPN
cana-3817	42	46	)	)	PUNCT
cana-3817	42	47	,	,	PUNCT
cana-3817	42	48	and	and	CCONJ
cana-3817	42	49	api	api	NOUN
cana-3817	42	50	security	security	NOUN
cana-3817	42	51	.	.	PUNCT
cana-3817	43	1	dynamic	dynamic	ADJ
cana-3817	43	2	and	and	CCONJ
cana-3817	43	3	elastic	elastic	ADJ
cana-3817	43	4	nature	nature	NOUN
cana-3817	43	5	of	of	ADP
cana-3817	43	6	cloud	cloud	ADJ
cana-3817	43	7	resources	resource	NOUN
cana-3817	43	8	resource	resource	NOUN
cana-3817	43	9	scaling	scaling	NOUN
cana-3817	43	10	:	:	PUNCT
cana-3817	43	11	because	because	SCONJ
cana-3817	43	12	cloud	cloud	NOUN
cana-3817	43	13	systems	system	NOUN
cana-3817	43	14	are	be	AUX
cana-3817	43	15	so	so	ADV
cana-3817	43	16	elastic	elastic	ADJ
cana-3817	43	17	,	,	PUNCT
cana-3817	43	18	resources	resource	NOUN
cana-3817	43	19	can	can	AUX
cana-3817	43	20	be	be	AUX
cana-3817	43	21	dynamically	dynamically	ADV
cana-3817	43	22	increased	increase	VERB
cana-3817	43	23	or	or	CCONJ
cana-3817	43	24	decreased	decrease	VERB
cana-3817	43	25	in	in	ADP
cana-3817	43	26	response	response	NOUN
cana-3817	43	27	to	to	AUX
cana-3817	43	28	demand	demand	VERB
cana-3817	43	29	.	.	PUNCT
cana-3817	44	1	because	because	SCONJ
cana-3817	44	2	of	of	ADP
cana-3817	44	3	this	this	DET
cana-3817	44	4	fluidity	fluidity	NOUN
cana-3817	44	5	,	,	PUNCT
cana-3817	44	6	it	it	PRON
cana-3817	44	7	is	be	AUX
cana-3817	44	8	challenging	challenge	VERB
cana-3817	44	9	for	for	ADP
cana-3817	44	10	conventional	conventional	ADJ
cana-3817	44	11	perimeter	perimeter	NOUN
cana-3817	44	12	-	-	PUNCT
cana-3817	44	13	based	base	VERB
cana-3817	44	14	security	security	NOUN
cana-3817	44	15	approaches	approach	NOUN
cana-3817	44	16	to	to	PART
cana-3817	44	17	monitor	monitor	VERB
cana-3817	44	18	and	and	CCONJ
cana-3817	44	19	manage	manage	VERB
cana-3817	44	20	resource	resource	NOUN
cana-3817	44	21	access	access	NOUN
cana-3817	44	22	efficiently	efficiently	ADV
cana-3817	44	23	as	as	SCONJ
cana-3817	44	24	it	it	PRON
cana-3817	44	25	changes	change	VERB
cana-3817	44	26	quickly	quickly	ADV
cana-3817	44	27	.	.	PUNCT
cana-3817	45	1	increased	increase	VERB
cana-3817	45	2	attack	attack	NOUN
cana-3817	45	3	surfaces	surface	NOUN
cana-3817	45	4	:	:	PUNCT
cana-3817	45	5	there	there	PRON
cana-3817	45	6	are	be	VERB
cana-3817	45	7	more	more	ADV
cana-3817	45	8	possible	possible	ADJ
cana-3817	45	9	attack	attack	NOUN
cana-3817	45	10	surfaces	surface	NOUN
cana-3817	45	11	in	in	ADP
cana-3817	45	12	cloud	cloud	ADJ
cana-3817	45	13	environments	environment	NOUN
cana-3817	45	14	that	that	PRON
cana-3817	45	15	are	be	AUX
cana-3817	45	16	more	more	ADV
cana-3817	45	17	dynamic	dynamic	ADJ
cana-3817	45	18	and	and	CCONJ
cana-3817	45	19	sophisticated	sophisticated	ADJ
cana-3817	45	20	.	.	PUNCT
cana-3817	46	1	cloud	cloud	NOUN
cana-3817	46	2	-	-	PUNCT
cana-3817	46	3	based	base	VERB
cana-3817	46	4	attacks	attack	NOUN
cana-3817	46	5	and	and	CCONJ
cana-3817	46	6	misconfigurations	misconfiguration	NOUN
cana-3817	46	7	are	be	AUX
cana-3817	46	8	outside	outside	ADP
cana-3817	46	9	the	the	DET
cana-3817	46	10	scope	scope	NOUN
cana-3817	46	11	of	of	ADP
cana-3817	46	12	traditional	traditional	ADJ
cana-3817	46	13	perimeter	perimeter	NOUN
cana-3817	46	14	defenses	defense	NOUN
cana-3817	46	15	.	.	PUNCT
cana-3817	47	1	2	2	X
cana-3817	47	2	.	.	X
cana-3817	47	3	literature	literature	NOUN
cana-3817	47	4	survey	survey	PROPN
cana-3817	47	5	cloud	cloud	PROPN
cana-3817	47	6	computing	computing	NOUN
cana-3817	47	7	's	's	PART
cana-3817	47	8	explosive	explosive	ADJ
cana-3817	47	9	growth	growth	NOUN
cana-3817	47	10	has	have	AUX
cana-3817	47	11	completely	completely	ADV
cana-3817	47	12	changed	change	VERB
cana-3817	47	13	how	how	SCONJ
cana-3817	47	14	people	people	NOUN
cana-3817	47	15	and	and	CCONJ
cana-3817	47	16	companies	company	NOUN
cana-3817	47	17	store	store	VERB
cana-3817	47	18	,	,	PUNCT
cana-3817	47	19	analyze	analyze	VERB
cana-3817	47	20	,	,	PUNCT
cana-3817	47	21	and	and	CCONJ
cana-3817	47	22	retrieve	retrieve	VERB
cana-3817	47	23	data	datum	NOUN
cana-3817	47	24	.	.	PUNCT
cana-3817	48	1	the	the	DET
cana-3817	48	2	security	security	NOUN
cana-3817	48	3	of	of	ADP
cana-3817	48	4	cloud	cloud	NOUN
cana-3817	48	5	data	datum	NOUN
cana-3817	48	6	has	have	AUX
cana-3817	48	7	emerged	emerge	VERB
cana-3817	48	8	as	as	ADP
cana-3817	48	9	one	one	NUM
cana-3817	48	10	of	of	ADP
cana-3817	48	11	the	the	DET
cana-3817	48	12	most	most	ADV
cana-3817	48	13	important	important	ADJ
cana-3817	48	14	issues	issue	NOUN
cana-3817	48	15	facing	face	VERB
cana-3817	48	16	contemporary	contemporary	ADJ
cana-3817	48	17	it	it	PRON
cana-3817	48	18	infrastructure	infrastructure	NOUN
cana-3817	48	19	due	due	ADP
cana-3817	48	20	to	to	ADP
cana-3817	48	21	the	the	DET
cana-3817	48	22	increasing	increase	VERB
cana-3817	48	23	dependence	dependence	NOUN
cana-3817	48	24	on	on	ADP
cana-3817	48	25	cloud	cloud	NOUN
cana-3817	48	26	platforms	platform	NOUN
cana-3817	48	27	for	for	ADP
cana-3817	48	28	handling	handle	VERB
cana-3817	48	29	enormous	enormous	ADJ
cana-3817	48	30	volumes	volume	NOUN
cana-3817	48	31	of	of	ADP
cana-3817	48	32	sensitive	sensitive	ADJ
cana-3817	48	33	data	datum	NOUN
cana-3817	48	34	.	.	PUNCT
cana-3817	49	1	although	although	SCONJ
cana-3817	49	2	firewalls	firewall	NOUN
cana-3817	49	3	,	,	PUNCT
cana-3817	49	4	access	access	NOUN
cana-3817	49	5	control	control	NOUN
cana-3817	49	6	lists	list	NOUN
cana-3817	49	7	and	and	CCONJ
cana-3817	49	8	encryption	encryption	NOUN
cana-3817	49	9	techniques	technique	NOUN
cana-3817	49	10	are	be	AUX
cana-3817	49	11	examples	example	NOUN
cana-3817	49	12	of	of	ADP
cana-3817	49	13	traditional	traditional	ADJ
cana-3817	49	14	security	security	NOUN
cana-3817	49	15	concepts	concept	NOUN
cana-3817	49	16	that	that	PRON
cana-3817	49	17	have	have	AUX
cana-3817	49	18	shown	show	VERB
cana-3817	49	19	efficacy	efficacy	NOUN
cana-3817	49	20	in	in	ADP
cana-3817	49	21	specific	specific	ADJ
cana-3817	49	22	situations	situation	NOUN
cana-3817	49	23	,	,	PUNCT
cana-3817	49	24	they	they	PRON
cana-3817	49	25	frequently	frequently	ADV
cana-3817	49	26	fall	fall	VERB
cana-3817	49	27	short	short	ADJ
cana-3817	49	28	in	in	ADP
cana-3817	49	29	addressing	address	VERB
cana-3817	49	30	the	the	DET
cana-3817	49	31	dynamic	dynamic	ADJ
cana-3817	49	32	and	and	CCONJ
cana-3817	49	33	constantly	constantly	ADV
cana-3817	49	34	changing	change	VERB
cana-3817	49	35	nature	nature	NOUN
cana-3817	49	36	of	of	ADP
cana-3817	49	37	cyber	cyber	NOUN
cana-3817	49	38	threats	threat	NOUN
cana-3817	49	39	in	in	ADP
cana-3817	49	40	cloud	cloud	NOUN
cana-3817	49	41	systems	system	NOUN
cana-3817	49	42	.	.	PUNCT
cana-3817	50	1	specifically	specifically	ADV
cana-3817	50	2	,	,	PUNCT
cana-3817	50	3	in	in	ADP
cana-3817	50	4	a	a	DET
cana-3817	50	5	cloud	cloud	ADJ
cana-3817	50	6	-	-	PUNCT
cana-3817	50	7	first	first	ADJ
cana-3817	50	8	world	world	NOUN
cana-3817	50	9	where	where	SCONJ
cana-3817	50	10	users	user	NOUN
cana-3817	50	11	,	,	PUNCT
cana-3817	50	12	devices	device	NOUN
cana-3817	50	13	,	,	PUNCT
cana-3817	50	14	and	and	CCONJ
cana-3817	50	15	data	datum	NOUN
cana-3817	50	16	are	be	AUX
cana-3817	50	17	dispersed	disperse	VERB
cana-3817	50	18	across	across	ADP
cana-3817	50	19	various	various	ADJ
cana-3817	50	20	places	place	NOUN
cana-3817	50	21	,	,	PUNCT
cana-3817	50	22	perimeter	perimeter	NOUN
cana-3817	50	23	-	-	PUNCT
cana-3817	50	24	based	base	VERB
cana-3817	50	25	security	security	NOUN
cana-3817	50	26	mechanisms	mechanism	NOUN
cana-3817	50	27	—	—	PUNCT
cana-3817	50	28	which	which	PRON
cana-3817	50	29	are	be	AUX
cana-3817	50	30	intended	intend	VERB
cana-3817	50	31	to	to	PART
cana-3817	50	32	safeguard	safeguard	VERB
cana-3817	50	33	network	network	NOUN
cana-3817	50	34	boundaries	boundary	NOUN
cana-3817	50	35	—	—	PUNCT
cana-3817	50	36	are	be	AUX
cana-3817	50	37	becoming	become	VERB
cana-3817	50	38	less	less	ADV
cana-3817	50	39	and	and	CCONJ
cana-3817	50	40	less	less	ADV
cana-3817	50	41	effective	effective	ADJ
cana-3817	50	42	.	.	PUNCT
cana-3817	51	1	there	there	PRON
cana-3817	51	2	is	be	VERB
cana-3817	51	3	a	a	DET
cana-3817	51	4	greater	great	ADJ
cana-3817	51	5	need	need	NOUN
cana-3817	51	6	for	for	ADP
cana-3817	51	7	creative	creative	ADJ
cana-3817	51	8	,	,	PUNCT
cana-3817	51	9	proactive	proactive	ADJ
cana-3817	51	10	security	security	NOUN
cana-3817	51	11	measures	measure	NOUN
cana-3817	51	12	as	as	SCONJ
cana-3817	51	13	cyber	cyber	NOUN
cana-3817	51	14	-	-	PUNCT
cana-3817	51	15	attacks	attack	NOUN
cana-3817	51	16	get	get	VERB
cana-3817	51	17	more	more	ADV
cana-3817	51	18	complex	complex	ADJ
cana-3817	51	19	and	and	CCONJ
cana-3817	51	20	varied	varied	ADJ
cana-3817	51	21	.	.	PUNCT
cana-3817	52	1	the	the	DET
cana-3817	52	2	use	use	NOUN
cana-3817	52	3	of	of	ADP
cana-3817	52	4	deep	deep	ADJ
cana-3817	52	5	learning	learning	NOUN
cana-3817	52	6	(	(	PUNCT
cana-3817	52	7	dl	dl	NOUN
cana-3817	52	8	)	)	PUNCT
cana-3817	52	9	techniques	technique	NOUN
cana-3817	52	10	to	to	PART
cana-3817	52	11	improve	improve	VERB
cana-3817	52	12	cloud	cloud	NOUN
cana-3817	52	13	data	datum	NOUN
cana-3817	52	14	security	security	NOUN
cana-3817	52	15	is	be	AUX
cana-3817	52	16	one	one	NUM
cana-3817	52	17	such	such	ADJ
cana-3817	52	18	tactic	tactic	NOUN
cana-3817	52	19	that	that	PRON
cana-3817	52	20	has	have	AUX
cana-3817	52	21	attracted	attract	VERB
cana-3817	52	22	a	a	DET
cana-3817	52	23	lot	lot	NOUN
cana-3817	52	24	of	of	ADP
cana-3817	52	25	interest	interest	NOUN
cana-3817	52	26	.	.	PUNCT
cana-3817	53	1	as	as	ADP
cana-3817	53	2	a	a	DET
cana-3817	53	3	branch	branch	NOUN
cana-3817	53	4	of	of	ADP
cana-3817	53	5	machine	machine	NOUN
cana-3817	53	6	learning	learning	NOUN
cana-3817	53	7	(	(	PUNCT
cana-3817	53	8	ml	ml	NOUN
cana-3817	53	9	)	)	PUNCT
cana-3817	53	10	,	,	PUNCT
cana-3817	53	11	deep	deep	ADJ
cana-3817	53	12	learning	learning	NOUN
cana-3817	53	13	entails	entail	VERB
cana-3817	53	14	teaching	teach	VERB
cana-3817	53	15	multi	multi	ADJ
cana-3817	53	16	-	-	ADJ
cana-3817	53	17	layered	layered	ADJ
cana-3817	53	18	neural	neural	ADJ
cana-3817	53	19	networks	network	NOUN
cana-3817	53	20	to	to	PART
cana-3817	53	21	automatically	automatically	ADV
cana-3817	53	22	identify	identify	VERB
cana-3817	53	23	and	and	CCONJ
cana-3817	53	24	understand	understand	VERB
cana-3817	53	25	patterns	pattern	NOUN
cana-3817	53	26	in	in	ADP
cana-3817	53	27	data	datum	NOUN
cana-3817	53	28	.	.	PUNCT
cana-3817	54	1	it	it	PRON
cana-3817	54	2	is	be	AUX
cana-3817	54	3	communications	communication	NOUN
cana-3817	54	4	on	on	ADP
cana-3817	54	5	applied	apply	VERB
cana-3817	54	6	nonlinear	nonlinear	ADJ
cana-3817	54	7	analysis	analysis	NOUN
cana-3817	54	8	issn	issn	NOUN
cana-3817	54	9	:	:	PUNCT
cana-3817	54	10	1074	1074	NUM
cana-3817	54	11	-	-	PUNCT
cana-3817	54	12	133x	133x	NUM
cana-3817	54	13	vol	vol	NOUN
cana-3817	54	14	32	32	NUM
cana-3817	54	15	no	no	NOUN
cana-3817	54	16	.	.	PUNCT
cana-3817	55	1	8s	8s	PROPN
cana-3817	55	2	(	(	PUNCT
cana-3817	55	3	2025	2025	NUM
cana-3817	55	4	)	)	PUNCT
cana-3817	55	5	801	801	NUM
cana-3817	55	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	55	7	especially	especially	ADV
cana-3817	55	8	well	well	ADV
cana-3817	55	9	-	-	PUNCT
cana-3817	55	10	suited	suited	ADJ
cana-3817	55	11	for	for	ADP
cana-3817	55	12	identifying	identify	VERB
cana-3817	55	13	sophisticated	sophisticated	ADJ
cana-3817	55	14	attack	attack	NOUN
cana-3817	55	15	vectors	vector	NOUN
cana-3817	55	16	,	,	PUNCT
cana-3817	55	17	including	include	VERB
cana-3817	55	18	insider	insider	NOUN
cana-3817	55	19	threats	threat	NOUN
cana-3817	55	20	,	,	PUNCT
cana-3817	55	21	zero	zero	NUM
cana-3817	55	22	-	-	PUNCT
cana-3817	55	23	day	day	NOUN
cana-3817	55	24	exploits	exploit	NOUN
cana-3817	55	25	,	,	PUNCT
cana-3817	55	26	and	and	CCONJ
cana-3817	55	27	data	datum	NOUN
cana-3817	55	28	breaches	breach	NOUN
cana-3817	55	29	,	,	PUNCT
cana-3817	55	30	in	in	ADP
cana-3817	55	31	cloud	cloud	NOUN
cana-3817	55	32	systems	system	NOUN
cana-3817	55	33	because	because	SCONJ
cana-3817	55	34	of	of	ADP
cana-3817	55	35	its	its	PRON
cana-3817	55	36	capacity	capacity	NOUN
cana-3817	55	37	to	to	PART
cana-3817	55	38	analyze	analyze	VERB
cana-3817	55	39	vast	vast	ADJ
cana-3817	55	40	amounts	amount	NOUN
cana-3817	55	41	of	of	ADP
cana-3817	55	42	complicated	complicated	ADJ
cana-3817	55	43	and	and	CCONJ
cana-3817	55	44	high	high	ADV
cana-3817	55	45	-	-	PUNCT
cana-3817	55	46	dimensional	dimensional	ADJ
cana-3817	55	47	data	datum	NOUN
cana-3817	55	48	.	.	PUNCT
cana-3817	56	1	the	the	DET
cana-3817	56	2	integration	integration	NOUN
cana-3817	56	3	of	of	ADP
cana-3817	56	4	deep	deep	ADJ
cana-3817	56	5	learning	learning	NOUN
cana-3817	56	6	models	model	NOUN
cana-3817	56	7	with	with	ADP
cana-3817	56	8	cloud	cloud	NOUN
cana-3817	56	9	security	security	NOUN
cana-3817	56	10	frameworks	framework	NOUN
cana-3817	56	11	has	have	AUX
cana-3817	56	12	been	be	AUX
cana-3817	56	13	the	the	DET
cana-3817	56	14	subject	subject	NOUN
cana-3817	56	15	of	of	ADP
cana-3817	56	16	an	an	DET
cana-3817	56	17	expanding	expand	VERB
cana-3817	56	18	amount	amount	NOUN
cana-3817	56	19	of	of	ADP
cana-3817	56	20	research	research	NOUN
cana-3817	56	21	,	,	PUNCT
cana-3817	56	22	covering	cover	VERB
cana-3817	56	23	a	a	DET
cana-3817	56	24	range	range	NOUN
cana-3817	56	25	of	of	ADP
cana-3817	56	26	security	security	NOUN
cana-3817	56	27	topics	topic	NOUN
cana-3817	56	28	such	such	ADJ
cana-3817	56	29	as	as	ADP
cana-3817	56	30	anomaly	anomaly	NOUN
cana-3817	56	31	detection	detection	NOUN
cana-3817	56	32	,	,	PUNCT
cana-3817	56	33	intrusion	intrusion	NOUN
cana-3817	56	34	detection	detection	NOUN
cana-3817	56	35	,	,	PUNCT
cana-3817	56	36	data	datum	NOUN
cana-3817	56	37	encryption	encryption	NOUN
cana-3817	56	38	,	,	PUNCT
cana-3817	56	39	access	access	NOUN
cana-3817	56	40	control	control	NOUN
cana-3817	56	41	,	,	PUNCT
cana-3817	56	42	and	and	CCONJ
cana-3817	56	43	privacy	privacy	NOUN
cana-3817	56	44	protection	protection	NOUN
cana-3817	56	45	.	.	PUNCT
cana-3817	57	1	convolutional	convolutional	ADJ
cana-3817	57	2	neural	neural	ADJ
cana-3817	57	3	networks	network	NOUN
cana-3817	57	4	(	(	PUNCT
cana-3817	57	5	cnns	cnns	PROPN
cana-3817	57	6	)	)	PUNCT
cana-3817	57	7	and	and	CCONJ
cana-3817	57	8	recurrent	recurrent	ADJ
cana-3817	57	9	neural	neural	ADJ
cana-3817	57	10	networks	network	NOUN
cana-3817	57	11	(	(	PUNCT
cana-3817	57	12	rnns	rnns	PROPN
cana-3817	57	13	)	)	PUNCT
cana-3817	57	14	,	,	PUNCT
cana-3817	57	15	for	for	ADP
cana-3817	57	16	example	example	NOUN
cana-3817	57	17	,	,	PUNCT
cana-3817	57	18	have	have	AUX
cana-3817	57	19	been	be	AUX
cana-3817	57	20	used	use	VERB
cana-3817	57	21	for	for	ADP
cana-3817	57	22	anomaly	anomaly	NOUN
cana-3817	57	23	detection	detection	NOUN
cana-3817	57	24	,	,	PUNCT
cana-3817	57	25	making	make	VERB
cana-3817	57	26	it	it	PRON
cana-3817	57	27	possible	possible	ADJ
cana-3817	57	28	to	to	PART
cana-3817	57	29	identify	identify	VERB
cana-3817	57	30	malicious	malicious	ADJ
cana-3817	57	31	activity	activity	NOUN
cana-3817	57	32	in	in	ADP
cana-3817	57	33	cloud	cloud	NOUN
cana-3817	57	34	-	-	PUNCT
cana-3817	57	35	based	base	VERB
cana-3817	57	36	systems	system	NOUN
cana-3817	57	37	in	in	ADP
cana-3817	57	38	real	real	ADJ
cana-3817	57	39	time	time	NOUN
cana-3817	57	40	.	.	PUNCT
cana-3817	58	1	to	to	PART
cana-3817	58	2	improve	improve	VERB
cana-3817	58	3	data	datum	NOUN
cana-3817	58	4	encryption	encryption	NOUN
cana-3817	58	5	methods	method	NOUN
cana-3817	58	6	and	and	CCONJ
cana-3817	58	7	guarantee	guarantee	VERB
cana-3817	58	8	the	the	DET
cana-3817	58	9	privacy	privacy	NOUN
cana-3817	58	10	of	of	ADP
cana-3817	58	11	sensitive	sensitive	ADJ
cana-3817	58	12	data	datum	NOUN
cana-3817	58	13	in	in	ADP
cana-3817	58	14	multi	multi	ADJ
cana-3817	58	15	-	-	ADJ
cana-3817	58	16	tenant	tenant	ADJ
cana-3817	58	17	cloud	cloud	NOUN
cana-3817	58	18	systems	system	NOUN
cana-3817	58	19	,	,	PUNCT
cana-3817	58	20	auto	auto	NOUN
cana-3817	58	21	encoders	encoder	NOUN
cana-3817	58	22	and	and	CCONJ
cana-3817	58	23	generative	generative	ADJ
cana-3817	58	24	adversarial	adversarial	ADJ
cana-3817	58	25	networks	network	NOUN
cana-3817	58	26	(	(	PUNCT
cana-3817	58	27	gans	gan	NOUN
cana-3817	58	28	)	)	PUNCT
cana-3817	58	29	have	have	AUX
cana-3817	58	30	been	be	AUX
cana-3817	58	31	investigated	investigate	VERB
cana-3817	58	32	.	.	PUNCT
cana-3817	59	1	furthermore	furthermore	ADV
cana-3817	59	2	,	,	PUNCT
cana-3817	59	3	security	security	NOUN
cana-3817	59	4	policies	policy	NOUN
cana-3817	59	5	have	have	AUX
cana-3817	59	6	been	be	AUX
cana-3817	59	7	dynamically	dynamically	ADV
cana-3817	59	8	optimized	optimize	VERB
cana-3817	59	9	using	use	VERB
cana-3817	59	10	reinforcement	reinforcement	NOUN
cana-3817	59	11	learning	learning	NOUN
cana-3817	59	12	(	(	PUNCT
cana-3817	59	13	rl	rl	NOUN
cana-3817	59	14	)	)	PUNCT
cana-3817	59	15	,	,	PUNCT
cana-3817	59	16	guaranteeing	guarantee	VERB
cana-3817	59	17	that	that	SCONJ
cana-3817	59	18	the	the	DET
cana-3817	59	19	cloud	cloud	NOUN
cana-3817	59	20	architecture	architecture	NOUN
cana-3817	59	21	is	be	AUX
cana-3817	59	22	resilient	resilient	ADJ
cana-3817	59	23	to	to	ADP
cana-3817	59	24	new	new	ADJ
cana-3817	59	25	attacks	attack	NOUN
cana-3817	59	26	.	.	PUNCT
cana-3817	60	1	additionally	additionally	ADV
cana-3817	60	2	,	,	PUNCT
cana-3817	60	3	by	by	ADP
cana-3817	60	4	keeping	keep	VERB
cana-3817	60	5	the	the	DET
cana-3817	60	6	data	datum	NOUN
cana-3817	60	7	decentralized	decentralize	VERB
cana-3817	60	8	and	and	CCONJ
cana-3817	60	9	reducing	reduce	VERB
cana-3817	60	10	the	the	DET
cana-3817	60	11	dangers	danger	NOUN
cana-3817	60	12	of	of	ADP
cana-3817	60	13	data	datum	NOUN
cana-3817	60	14	exposure	exposure	NOUN
cana-3817	60	15	,	,	PUNCT
cana-3817	60	16	federated	federated	ADJ
cana-3817	60	17	learning	learning	NOUN
cana-3817	60	18	(	(	PUNCT
cana-3817	60	19	fl	fl	NOUN
cana-3817	60	20	)	)	PUNCT
cana-3817	60	21	provides	provide	VERB
cana-3817	60	22	a	a	DET
cana-3817	60	23	privacy	privacy	NOUN
cana-3817	60	24	-	-	PUNCT
cana-3817	60	25	preserving	preserve	VERB
cana-3817	60	26	method	method	NOUN
cana-3817	60	27	for	for	ADP
cana-3817	60	28	training	train	VERB
cana-3817	60	29	deep	deep	ADJ
cana-3817	60	30	learning	learning	NOUN
cana-3817	60	31	models	model	NOUN
cana-3817	60	32	.	.	PUNCT
cana-3817	61	1	despite	despite	SCONJ
cana-3817	61	2	the	the	DET
cana-3817	61	3	promising	promising	ADJ
cana-3817	61	4	results	result	NOUN
cana-3817	61	5	of	of	ADP
cana-3817	61	6	deep	deep	ADJ
cana-3817	61	7	learning	learning	NOUN
cana-3817	61	8	in	in	ADP
cana-3817	61	9	cloud	cloud	ADJ
cana-3817	61	10	security	security	NOUN
cana-3817	61	11	,	,	PUNCT
cana-3817	61	12	several	several	ADJ
cana-3817	61	13	challenges	challenge	NOUN
cana-3817	61	14	remain	remain	VERB
cana-3817	61	15	.	.	PUNCT
cana-3817	62	1	these	these	PRON
cana-3817	62	2	include	include	VERB
cana-3817	62	3	data	datum	NOUN
cana-3817	62	4	privacy	privacy	NOUN
cana-3817	62	5	concerns	concern	NOUN
cana-3817	62	6	,	,	PUNCT
cana-3817	62	7	especially	especially	ADV
cana-3817	62	8	in	in	ADP
cana-3817	62	9	multi	multi	ADJ
cana-3817	62	10	-	-	ADJ
cana-3817	62	11	cloud	cloud	ADJ
cana-3817	62	12	environments	environment	NOUN
cana-3817	62	13	where	where	SCONJ
cana-3817	62	14	data	datum	NOUN
cana-3817	62	15	is	be	AUX
cana-3817	62	16	stored	store	VERB
cana-3817	62	17	and	and	CCONJ
cana-3817	62	18	processed	process	VERB
cana-3817	62	19	across	across	ADP
cana-3817	62	20	various	various	ADJ
cana-3817	62	21	jurisdictions	jurisdiction	NOUN
cana-3817	62	22	,	,	PUNCT
cana-3817	62	23	and	and	CCONJ
cana-3817	62	24	the	the	DET
cana-3817	62	25	computational	computational	ADJ
cana-3817	62	26	complexity	complexity	NOUN
cana-3817	62	27	involved	involve	VERB
cana-3817	62	28	in	in	ADP
cana-3817	62	29	training	train	VERB
cana-3817	62	30	deep	deep	ADJ
cana-3817	62	31	learning	learning	NOUN
cana-3817	62	32	models	model	NOUN
cana-3817	62	33	on	on	ADP
cana-3817	62	34	vast	vast	ADJ
cana-3817	62	35	datasets	dataset	NOUN
cana-3817	62	36	.	.	PUNCT
cana-3817	63	1	furthermore	furthermore	ADV
cana-3817	63	2	,	,	PUNCT
cana-3817	63	3	the	the	DET
cana-3817	63	4	interpretability	interpretability	NOUN
cana-3817	63	5	of	of	ADP
cana-3817	63	6	deep	deep	ADJ
cana-3817	63	7	learning	learning	NOUN
cana-3817	63	8	models	model	NOUN
cana-3817	63	9	—	—	PUNCT
cana-3817	63	10	an	an	DET
cana-3817	63	11	area	area	NOUN
cana-3817	63	12	that	that	PRON
cana-3817	63	13	remains	remain	VERB
cana-3817	63	14	an	an	DET
cana-3817	63	15	ongoing	ongoing	ADJ
cana-3817	63	16	research	research	NOUN
cana-3817	63	17	challenge	challenge	NOUN
cana-3817	63	18	—	—	PUNCT
cana-3817	63	19	is	be	AUX
cana-3817	63	20	particularly	particularly	ADV
cana-3817	63	21	crucial	crucial	ADJ
cana-3817	63	22	in	in	ADP
cana-3817	63	23	security	security	NOUN
cana-3817	63	24	applications	application	NOUN
cana-3817	63	25	where	where	SCONJ
cana-3817	63	26	understanding	understand	VERB
cana-3817	63	27	the	the	DET
cana-3817	63	28	reasoning	reasoning	NOUN
cana-3817	63	29	behind	behind	ADP
cana-3817	63	30	a	a	DET
cana-3817	63	31	model	model	NOUN
cana-3817	63	32	's	's	PART
cana-3817	63	33	decision	decision	NOUN
cana-3817	63	34	is	be	AUX
cana-3817	63	35	critical	critical	ADJ
cana-3817	63	36	for	for	ADP
cana-3817	63	37	trust	trust	NOUN
cana-3817	63	38	and	and	CCONJ
cana-3817	63	39	compliance	compliance	NOUN
cana-3817	63	40	purposes	purpose	NOUN
cana-3817	63	41	.	.	PUNCT
cana-3817	64	1	examining	examine	VERB
cana-3817	64	2	the	the	DET
cana-3817	64	3	development	development	NOUN
cana-3817	64	4	of	of	ADP
cana-3817	64	5	cloud	cloud	ADJ
cana-3817	64	6	data	datum	NOUN
cana-3817	64	7	security	security	NOUN
cana-3817	64	8	within	within	ADP
cana-3817	64	9	the	the	DET
cana-3817	64	10	framework	framework	NOUN
cana-3817	64	11	of	of	ADP
cana-3817	64	12	deep	deep	ADJ
cana-3817	64	13	learning	learning	NOUN
cana-3817	64	14	methodologies	methodology	NOUN
cana-3817	64	15	is	be	AUX
cana-3817	64	16	the	the	DET
cana-3817	64	17	goal	goal	NOUN
cana-3817	64	18	of	of	ADP
cana-3817	64	19	this	this	DET
cana-3817	64	20	literature	literature	NOUN
cana-3817	64	21	review	review	NOUN
cana-3817	64	22	.	.	PUNCT
cana-3817	65	1	we	we	PRON
cana-3817	65	2	will	will	AUX
cana-3817	65	3	examine	examine	VERB
cana-3817	65	4	some	some	DET
cana-3817	65	5	deep	deep	ADJ
cana-3817	65	6	learning	learning	NOUN
cana-3817	65	7	approaches	approach	NOUN
cana-3817	65	8	that	that	PRON
cana-3817	65	9	have	have	AUX
cana-3817	65	10	been	be	AUX
cana-3817	65	11	put	put	VERB
cana-3817	65	12	forth	forth	ADV
cana-3817	65	13	to	to	PART
cana-3817	65	14	tackle	tackle	VERB
cana-3817	65	15	the	the	DET
cana-3817	65	16	main	main	ADJ
cana-3817	65	17	security	security	NOUN
cana-3817	65	18	concerns	concern	NOUN
cana-3817	65	19	in	in	ADP
cana-3817	65	20	cloud	cloud	NOUN
cana-3817	65	21	systems	system	NOUN
cana-3817	65	22	,	,	PUNCT
cana-3817	65	23	weigh	weigh	VERB
cana-3817	65	24	their	their	PRON
cana-3817	65	25	benefits	benefit	NOUN
cana-3817	65	26	and	and	CCONJ
cana-3817	65	27	drawbacks	drawback	NOUN
cana-3817	65	28	,	,	PUNCT
cana-3817	65	29	and	and	CCONJ
cana-3817	65	30	draw	draw	VERB
cana-3817	65	31	attention	attention	NOUN
cana-3817	65	32	to	to	ADP
cana-3817	65	33	the	the	DET
cana-3817	65	34	current	current	ADJ
cana-3817	65	35	research	research	NOUN
cana-3817	65	36	obstacles	obstacle	NOUN
cana-3817	65	37	and	and	CCONJ
cana-3817	65	38	potential	potential	ADJ
cana-3817	65	39	paths	path	NOUN
cana-3817	65	40	in	in	ADP
cana-3817	65	41	this	this	DET
cana-3817	65	42	field	field	NOUN
cana-3817	65	43	.	.	PUNCT
cana-3817	66	1	with	with	ADP
cana-3817	66	2	this	this	DET
cana-3817	66	3	thorough	thorough	ADJ
cana-3817	66	4	analysis	analysis	NOUN
cana-3817	66	5	,	,	PUNCT
cana-3817	66	6	the	the	DET
cana-3817	66	7	article	article	NOUN
cana-3817	66	8	aims	aim	VERB
cana-3817	66	9	to	to	PART
cana-3817	66	10	shed	shed	VERB
cana-3817	66	11	light	light	NOUN
cana-3817	66	12	on	on	ADP
cana-3817	66	13	how	how	SCONJ
cana-3817	66	14	deep	deep	ADJ
cana-3817	66	15	learning	learning	NOUN
cana-3817	66	16	may	may	AUX
cana-3817	66	17	be	be	AUX
cana-3817	66	18	used	use	VERB
cana-3817	66	19	to	to	PART
cana-3817	66	20	improve	improve	VERB
cana-3817	66	21	cloud	cloud	ADJ
cana-3817	66	22	data	datum	NOUN
cana-3817	66	23	security	security	NOUN
cana-3817	66	24	and	and	CCONJ
cana-3817	66	25	aid	aid	NOUN
cana-3817	66	26	in	in	ADP
cana-3817	66	27	the	the	DET
cana-3817	66	28	development	development	NOUN
cana-3817	66	29	of	of	ADP
cana-3817	66	30	more	more	ADV
cana-3817	66	31	resilient	resilient	ADJ
cana-3817	66	32	,	,	PUNCT
cana-3817	66	33	flexible	flexible	ADJ
cana-3817	66	34	,	,	PUNCT
cana-3817	66	35	and	and	CCONJ
cana-3817	66	36	intelligent	intelligent	ADJ
cana-3817	66	37	cloud	cloud	NOUN
cana-3817	66	38	security	security	NOUN
cana-3817	66	39	systems	system	NOUN
cana-3817	66	40	.	.	PUNCT
cana-3817	67	1	numerous	numerous	ADJ
cana-3817	67	2	applications	application	NOUN
cana-3817	67	3	in	in	ADP
cana-3817	67	4	human	human	ADJ
cana-3817	67	5	life	life	NOUN
cana-3817	67	6	have	have	AUX
cana-3817	67	7	effectively	effectively	ADV
cana-3817	67	8	used	use	VERB
cana-3817	67	9	machine	machine	NOUN
cana-3817	67	10	learning	learning	NOUN
cana-3817	67	11	and	and	CCONJ
cana-3817	67	12	contemporary	contemporary	ADJ
cana-3817	67	13	ai	ai	PROPN
cana-3817	67	14	technology	technology	NOUN
cana-3817	67	15	[	[	X
cana-3817	67	16	1	1	NUM
cana-3817	67	17	,	,	PUNCT
cana-3817	67	18	2	2	NUM
cana-3817	67	19	]	]	PUNCT
cana-3817	67	20	.	.	PUNCT
cana-3817	68	1	a	a	DET
cana-3817	68	2	feed	feed	NOUN
cana-3817	68	3	forward	forward	ADV
cana-3817	68	4	propagation	propagation	NOUN
cana-3817	68	5	artificial	artificial	ADJ
cana-3817	68	6	neural	neural	ADJ
cana-3817	68	7	network	network	NOUN
cana-3817	68	8	(	(	PUNCT
cana-3817	68	9	ann	ann	PROPN
cana-3817	68	10	)	)	PUNCT
cana-3817	68	11	model	model	NOUN
cana-3817	68	12	for	for	ADP
cana-3817	68	13	cloud	cloud	NOUN
cana-3817	68	14	security	security	NOUN
cana-3817	68	15	was	be	AUX
cana-3817	68	16	developed	develop	VERB
cana-3817	68	17	by	by	ADP
cana-3817	68	18	the	the	DET
cana-3817	68	19	authors	author	NOUN
cana-3817	68	20	in	in	ADP
cana-3817	68	21	[	[	X
cana-3817	68	22	3	3	NUM
cana-3817	68	23	]	]	PUNCT
cana-3817	68	24	,	,	PUNCT
cana-3817	68	25	who	who	PRON
cana-3817	68	26	also	also	ADV
cana-3817	68	27	looked	look	VERB
cana-3817	68	28	into	into	ADP
cana-3817	68	29	the	the	DET
cana-3817	68	30	essential	essential	ADJ
cana-3817	68	31	procedures	procedure	NOUN
cana-3817	68	32	for	for	ADP
cana-3817	68	33	incorporating	incorporate	VERB
cana-3817	68	34	such	such	ADJ
cana-3817	68	35	models	model	NOUN
cana-3817	68	36	into	into	ADP
cana-3817	68	37	cloud	cloud	ADJ
cana-3817	68	38	security	security	NOUN
cana-3817	68	39	plans	plan	NOUN
cana-3817	68	40	.	.	PUNCT
cana-3817	69	1	in	in	ADP
cana-3817	69	2	[	[	X
cana-3817	69	3	4	4	NUM
cana-3817	69	4	]	]	PUNCT
cana-3817	69	5	,	,	PUNCT
cana-3817	69	6	machine	machine	NOUN
cana-3817	69	7	and	and	CCONJ
cana-3817	69	8	deep	deep	ADJ
cana-3817	69	9	learning	learning	NOUN
cana-3817	69	10	techniques	technique	NOUN
cana-3817	69	11	are	be	AUX
cana-3817	69	12	used	use	VERB
cana-3817	69	13	to	to	PART
cana-3817	69	14	examine	examine	VERB
cana-3817	69	15	cloud	cloud	ADJ
cana-3817	69	16	security	security	NOUN
cana-3817	69	17	challenges	challenge	NOUN
cana-3817	69	18	and	and	CCONJ
cana-3817	69	19	numerous	numerous	ADJ
cana-3817	69	20	attacks	attack	NOUN
cana-3817	69	21	,	,	PUNCT
cana-3817	69	22	like	like	ADP
cana-3817	69	23	as	as	ADP
cana-3817	69	24	malware	malware	NOUN
cana-3817	69	25	,	,	PUNCT
cana-3817	69	26	phishing	phishing	NOUN
cana-3817	69	27	,	,	PUNCT
cana-3817	69	28	credential	credential	ADJ
cana-3817	69	29	stuffing	stuffing	NOUN
cana-3817	69	30	,	,	PUNCT
cana-3817	69	31	and	and	CCONJ
cana-3817	69	32	others	other	NOUN
cana-3817	69	33	.	.	PUNCT
cana-3817	70	1	deep	deep	ADJ
cana-3817	70	2	neural	neural	ADJ
cana-3817	70	3	networks	network	NOUN
cana-3817	70	4	and	and	CCONJ
cana-3817	70	5	quantum	quantum	NOUN
cana-3817	70	6	neural	neural	ADJ
cana-3817	70	7	networks	network	NOUN
cana-3817	70	8	are	be	AUX
cana-3817	70	9	two	two	NUM
cana-3817	70	10	algorithm	algorithm	NOUN
cana-3817	70	11	concepts	concept	NOUN
cana-3817	70	12	that	that	PRON
cana-3817	70	13	have	have	AUX
cana-3817	70	14	been	be	AUX
cana-3817	70	15	integrated	integrate	VERB
cana-3817	70	16	into	into	ADP
cana-3817	70	17	the	the	DET
cana-3817	70	18	ml	ml	NOUN
cana-3817	70	19	concept	concept	NOUN
cana-3817	70	20	in	in	ADP
cana-3817	70	21	[	[	X
cana-3817	70	22	5	5	NUM
cana-3817	70	23	]	]	PUNCT
cana-3817	70	24	to	to	PART
cana-3817	70	25	improve	improve	VERB
cana-3817	70	26	prediction	prediction	NOUN
cana-3817	70	27	and	and	CCONJ
cana-3817	70	28	protection	protection	NOUN
cana-3817	70	29	accuracy	accuracy	NOUN
cana-3817	70	30	.	.	PUNCT
cana-3817	71	1	in	in	ADP
cana-3817	71	2	addition	addition	NOUN
cana-3817	71	3	to	to	ADP
cana-3817	71	4	helping	help	VERB
cana-3817	71	5	to	to	PART
cana-3817	71	6	completely	completely	ADV
cana-3817	71	7	eliminate	eliminate	VERB
cana-3817	71	8	attacks	attack	NOUN
cana-3817	71	9	,	,	PUNCT
cana-3817	71	10	these	these	DET
cana-3817	71	11	suggested	suggest	VERB
cana-3817	71	12	models	model	NOUN
cana-3817	71	13	also	also	ADV
cana-3817	71	14	boost	boost	VERB
cana-3817	71	15	cloud	cloud	ADJ
cana-3817	71	16	users	user	NOUN
cana-3817	71	17	'	'	PART
cana-3817	71	18	financial	financial	ADJ
cana-3817	71	19	growth	growth	NOUN
cana-3817	71	20	and	and	CCONJ
cana-3817	71	21	trust	trust	NOUN
cana-3817	71	22	in	in	ADP
cana-3817	71	23	cloud	cloud	NOUN
cana-3817	71	24	service	service	NOUN
cana-3817	71	25	providers	provider	NOUN
cana-3817	71	26	(	(	PUNCT
cana-3817	71	27	csps	csps	NOUN
cana-3817	71	28	)	)	PUNCT
cana-3817	71	29	.	.	PUNCT
cana-3817	72	1	the	the	DET
cana-3817	72	2	advantages	advantage	NOUN
cana-3817	72	3	of	of	ADP
cana-3817	72	4	a	a	DET
cana-3817	72	5	centralized	centralized	ADJ
cana-3817	72	6	storage	storage	NOUN
cana-3817	72	7	system	system	NOUN
cana-3817	72	8	and	and	CCONJ
cana-3817	72	9	decentralized	decentralize	VERB
cana-3817	72	10	storage	storage	NOUN
cana-3817	72	11	methods	method	NOUN
cana-3817	72	12	like	like	ADP
cana-3817	72	13	block	block	NOUN
cana-3817	72	14	chain	chain	NOUN
cana-3817	72	15	are	be	AUX
cana-3817	72	16	combined	combine	VERB
cana-3817	72	17	in	in	ADP
cana-3817	72	18	the	the	DET
cana-3817	72	19	solution	solution	NOUN
cana-3817	72	20	that	that	PRON
cana-3817	72	21	the	the	DET
cana-3817	72	22	author	author	NOUN
cana-3817	72	23	from	from	ADP
cana-3817	72	24	[	[	X
cana-3817	72	25	6	6	NUM
cana-3817	72	26	]	]	PUNCT
cana-3817	72	27	suggested	suggest	VERB
cana-3817	72	28	.	.	PUNCT
cana-3817	73	1	additionally	additionally	ADV
cana-3817	73	2	,	,	PUNCT
cana-3817	73	3	the	the	DET
cana-3817	73	4	suggested	suggest	VERB
cana-3817	73	5	strategy	strategy	NOUN
cana-3817	73	6	promotes	promote	VERB
cana-3817	73	7	supply	supply	NOUN
cana-3817	73	8	chain	chain	NOUN
cana-3817	73	9	integrity	integrity	NOUN
cana-3817	73	10	globally	globally	ADV
cana-3817	73	11	,	,	PUNCT
cana-3817	73	12	fosters	foster	VERB
cana-3817	73	13	trust	trust	NOUN
cana-3817	73	14	,	,	PUNCT
cana-3817	73	15	and	and	CCONJ
cana-3817	73	16	protects	protect	VERB
cana-3817	73	17	against	against	ADP
cana-3817	73	18	manipulation	manipulation	NOUN
cana-3817	73	19	.	.	PUNCT
cana-3817	74	1	implementing	implement	VERB
cana-3817	74	2	sign	sign	NOUN
cana-3817	74	3	language	language	NOUN
cana-3817	74	4	recognition	recognition	NOUN
cana-3817	74	5	(	(	PUNCT
cana-3817	74	6	slr	slr	NOUN
cana-3817	74	7	)	)	PUNCT
cana-3817	74	8	based	base	VERB
cana-3817	74	9	on	on	ADP
cana-3817	74	10	key	key	ADJ
cana-3817	74	11	point	point	NOUN
cana-3817	74	12	detection	detection	NOUN
cana-3817	74	13	is	be	AUX
cana-3817	74	14	the	the	DET
cana-3817	74	15	main	main	ADJ
cana-3817	74	16	goal	goal	NOUN
cana-3817	74	17	of	of	ADP
cana-3817	74	18	the	the	DET
cana-3817	74	19	project	project	NOUN
cana-3817	74	20	completed	complete	VERB
cana-3817	74	21	by	by	ADP
cana-3817	74	22	the	the	DET
cana-3817	74	23	authors	author	NOUN
cana-3817	74	24	in	in	ADP
cana-3817	74	25	[	[	X
cana-3817	74	26	7	7	NUM
cana-3817	74	27	]	]	PUNCT
cana-3817	74	28	.	.	PUNCT
cana-3817	75	1	numerous	numerous	ADJ
cana-3817	75	2	machine	machine	NOUN
cana-3817	75	3	learning	learn	VERB
cana-3817	75	4	algorithms	algorithm	NOUN
cana-3817	75	5	,	,	PUNCT
cana-3817	75	6	including	include	VERB
cana-3817	75	7	k	k	NOUN
cana-3817	75	8	-	-	PUNCT
cana-3817	75	9	nearest	near	ADJ
cana-3817	75	10	communications	communication	NOUN
cana-3817	75	11	on	on	ADP
cana-3817	75	12	applied	apply	VERB
cana-3817	75	13	nonlinear	nonlinear	ADJ
cana-3817	75	14	analysis	analysis	NOUN
cana-3817	75	15	issn	issn	NOUN
cana-3817	75	16	:	:	PUNCT
cana-3817	75	17	1074	1074	NUM
cana-3817	75	18	-	-	PUNCT
cana-3817	75	19	133x	133x	NUM
cana-3817	75	20	vol	vol	NOUN
cana-3817	75	21	32	32	NUM
cana-3817	75	22	no	no	NOUN
cana-3817	75	23	.	.	PUNCT
cana-3817	76	1	8s	8s	PROPN
cana-3817	76	2	(	(	PUNCT
cana-3817	76	3	2025	2025	NUM
cana-3817	76	4	)	)	PUNCT
cana-3817	76	5	802	802	NUM
cana-3817	76	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	76	7	neighbor	neighbor	NOUN
cana-3817	76	8	,	,	PUNCT
cana-3817	76	9	random	random	ADJ
cana-3817	76	10	forest	forest	NOUN
cana-3817	76	11	,	,	PUNCT
cana-3817	76	12	and	and	CCONJ
cana-3817	76	13	support	support	VERB
cana-3817	76	14	vector	vector	NOUN
cana-3817	76	15	machine	machine	NOUN
cana-3817	76	16	,	,	PUNCT
cana-3817	76	17	are	be	AUX
cana-3817	76	18	used	use	VERB
cana-3817	76	19	to	to	PART
cana-3817	76	20	train	train	VERB
cana-3817	76	21	the	the	DET
cana-3817	76	22	model	model	NOUN
cana-3817	76	23	a	a	DET
cana-3817	76	24	thorough	thorough	ADJ
cana-3817	76	25	dataset	dataset	NOUN
cana-3817	76	26	comprising	comprising	NOUN
cana-3817	76	27	system	system	NOUN
cana-3817	76	28	logs	log	NOUN
cana-3817	76	29	,	,	PUNCT
cana-3817	76	30	network	network	NOUN
cana-3817	76	31	traffic	traffic	NOUN
cana-3817	76	32	statistics	statistic	NOUN
cana-3817	76	33	,	,	PUNCT
cana-3817	76	34	and	and	CCONJ
cana-3817	76	35	security	security	NOUN
cana-3817	76	36	alerts	alert	NOUN
cana-3817	76	37	from	from	ADP
cana-3817	76	38	multiple	multiple	ADJ
cana-3817	76	39	cloud	cloud	ADJ
cana-3817	76	40	environments	environment	NOUN
cana-3817	76	41	was	be	AUX
cana-3817	76	42	gathered	gather	VERB
cana-3817	76	43	by	by	ADP
cana-3817	76	44	the	the	DET
cana-3817	76	45	authors	author	NOUN
cana-3817	76	46	in	in	ADP
cana-3817	76	47	[	[	X
cana-3817	76	48	8	8	NUM
cana-3817	76	49	]	]	PUNCT
cana-3817	76	50	.	.	PUNCT
cana-3817	77	1	normalization	normalization	NOUN
cana-3817	77	2	,	,	PUNCT
cana-3817	77	3	augmentation	augmentation	NOUN
cana-3817	77	4	,	,	PUNCT
cana-3817	77	5	and	and	CCONJ
cana-3817	77	6	feature	feature	NOUN
cana-3817	77	7	extraction	extraction	NOUN
cana-3817	77	8	specific	specific	ADJ
cana-3817	77	9	to	to	ADP
cana-3817	77	10	multi	multi	ADJ
cana-3817	77	11	-	-	ADJ
cana-3817	77	12	modal	modal	ADJ
cana-3817	77	13	inputs	input	NOUN
cana-3817	77	14	were	be	AUX
cana-3817	77	15	all	all	PRON
cana-3817	77	16	part	part	NOUN
cana-3817	77	17	of	of	ADP
cana-3817	77	18	the	the	DET
cana-3817	77	19	pre	pre	NOUN
cana-3817	77	20	-	-	NOUN
cana-3817	77	21	processing	processing	ADJ
cana-3817	77	22	.	.	PUNCT
cana-3817	78	1	network	network	NOUN
cana-3817	78	2	traffic	traffic	NOUN
cana-3817	78	3	features	feature	NOUN
cana-3817	78	4	were	be	AUX
cana-3817	78	5	studied	study	VERB
cana-3817	78	6	by	by	ADP
cana-3817	78	7	convolutional	convolutional	ADJ
cana-3817	78	8	neural	neural	ADJ
cana-3817	78	9	networks	network	NOUN
cana-3817	78	10	(	(	PUNCT
cana-3817	78	11	cnns	cnns	PROPN
cana-3817	78	12	)	)	PUNCT
cana-3817	78	13	,	,	PUNCT
cana-3817	78	14	while	while	SCONJ
cana-3817	78	15	system	system	NOUN
cana-3817	78	16	and	and	CCONJ
cana-3817	78	17	user	user	NOUN
cana-3817	78	18	behavior	behavior	NOUN
cana-3817	78	19	was	be	AUX
cana-3817	78	20	investigated	investigate	VERB
cana-3817	78	21	by	by	ADP
cana-3817	78	22	random	random	ADJ
cana-3817	78	23	forest	forest	NOUN
cana-3817	78	24	and	and	CCONJ
cana-3817	78	25	gradient	gradient	ADJ
cana-3817	78	26	boosting	boost	VERB
cana-3817	78	27	techniques	technique	NOUN
cana-3817	78	28	.	.	PUNCT
cana-3817	79	1	the	the	DET
cana-3817	79	2	study	study	NOUN
cana-3817	79	3	suggests	suggest	VERB
cana-3817	79	4	internet	internet	NOUN
cana-3817	79	5	of	of	ADP
cana-3817	79	6	things	thing	NOUN
cana-3817	79	7	(	(	PUNCT
cana-3817	79	8	iot)-based	iot)-based	ADJ
cana-3817	79	9	monitoring	monitoring	NOUN
cana-3817	79	10	for	for	ADP
cana-3817	79	11	real	real	ADJ
cana-3817	79	12	-	-	PUNCT
cana-3817	79	13	time	time	NOUN
cana-3817	79	14	data	datum	NOUN
cana-3817	79	15	gathering	gathering	NOUN
cana-3817	79	16	and	and	CCONJ
cana-3817	79	17	investigates	investigate	VERB
cana-3817	79	18	the	the	DET
cana-3817	79	19	effects	effect	NOUN
cana-3817	79	20	of	of	ADP
cana-3817	79	21	network	network	NOUN
cana-3817	79	22	variables	variable	NOUN
cana-3817	79	23	such	such	ADJ
cana-3817	79	24	as	as	ADP
cana-3817	79	25	latency	latency	NOUN
cana-3817	79	26	and	and	CCONJ
cana-3817	79	27	bandwidth	bandwidth	ADJ
cana-3817	79	28	fluctuations	fluctuation	NOUN
cana-3817	79	29	on	on	ADP
cana-3817	79	30	model	model	NOUN
cana-3817	79	31	performance	performance	NOUN
cana-3817	79	32	.	.	PUNCT
cana-3817	80	1	the	the	DET
cana-3817	80	2	automatic	automatic	ADJ
cana-3817	80	3	decisionmaking	decisionmaking	NOUN
cana-3817	80	4	process	process	NOUN
cana-3817	80	5	during	during	ADP
cana-3817	80	6	malevolent	malevolent	ADJ
cana-3817	80	7	conduct	conduct	NOUN
cana-3817	80	8	is	be	AUX
cana-3817	80	9	aided	aid	VERB
cana-3817	80	10	by	by	ADP
cana-3817	80	11	the	the	DET
cana-3817	80	12	paper	paper	NOUN
cana-3817	81	1	[	[	X
cana-3817	81	2	9	9	NUM
cana-3817	81	3	]	]	PUNCT
cana-3817	81	4	.	.	PUNCT
cana-3817	82	1	both	both	CCONJ
cana-3817	82	2	the	the	DET
cana-3817	82	3	secure	secure	ADJ
cana-3817	82	4	and	and	CCONJ
cana-3817	82	5	insecure	insecure	ADJ
cana-3817	82	6	datasets	dataset	NOUN
cana-3817	82	7	are	be	AUX
cana-3817	82	8	included	include	VERB
cana-3817	82	9	in	in	ADP
cana-3817	82	10	the	the	DET
cana-3817	82	11	obtained	obtain	VERB
cana-3817	82	12	dataset	dataset	NOUN
cana-3817	82	13	.	.	PUNCT
cana-3817	83	1	the	the	DET
cana-3817	83	2	random	random	ADJ
cana-3817	83	3	forest	forest	NOUN
cana-3817	83	4	classifier	classifier	NOUN
cana-3817	83	5	uses	use	VERB
cana-3817	83	6	the	the	DET
cana-3817	83	7	features	feature	NOUN
cana-3817	83	8	that	that	PRON
cana-3817	83	9	were	be	AUX
cana-3817	83	10	gathered	gather	VERB
cana-3817	83	11	as	as	ADP
cana-3817	83	12	input	input	NOUN
cana-3817	83	13	.	.	PUNCT
cana-3817	84	1	the	the	DET
cana-3817	84	2	random	random	ADJ
cana-3817	84	3	forest	forest	NOUN
cana-3817	84	4	analyzes	analyze	VERB
cana-3817	84	5	these	these	DET
cana-3817	84	6	features	feature	NOUN
cana-3817	84	7	and	and	CCONJ
cana-3817	84	8	yields	yield	NOUN
cana-3817	84	9	information	information	NOUN
cana-3817	84	10	that	that	PRON
cana-3817	84	11	influences	influence	VERB
cana-3817	84	12	the	the	DET
cana-3817	84	13	decision	decision	NOUN
cana-3817	84	14	-	-	PUNCT
cana-3817	84	15	making	make	VERB
cana-3817	84	16	process	process	NOUN
cana-3817	84	17	.	.	PUNCT
cana-3817	85	1	by	by	ADP
cana-3817	85	2	increasing	increase	VERB
cana-3817	85	3	openness	openness	NOUN
cana-3817	85	4	in	in	ADP
cana-3817	85	5	the	the	DET
cana-3817	85	6	automatic	automatic	ADJ
cana-3817	85	7	decision	decision	NOUN
cana-3817	85	8	-	-	PUNCT
cana-3817	85	9	making	make	VERB
cana-3817	85	10	processes	process	NOUN
cana-3817	85	11	,	,	PUNCT
cana-3817	85	12	the	the	DET
cana-3817	85	13	integrated	integrate	VERB
cana-3817	85	14	approach	approach	NOUN
cana-3817	85	15	raises	raise	VERB
cana-3817	85	16	the	the	DET
cana-3817	85	17	accuracy	accuracy	NOUN
cana-3817	85	18	of	of	ADP
cana-3817	85	19	security	security	NOUN
cana-3817	85	20	threats	threat	NOUN
cana-3817	85	21	.	.	PUNCT
cana-3817	86	1	they	they	PRON
cana-3817	86	2	offer	offer	VERB
cana-3817	86	3	confidence	confidence	NOUN
cana-3817	86	4	in	in	ADP
cana-3817	86	5	the	the	DET
cana-3817	86	6	cloud	cloud	NOUN
cana-3817	86	7	platforms	platform	NOUN
cana-3817	86	8	'	'	PART
cana-3817	86	9	security	security	NOUN
cana-3817	86	10	protocols	protocol	NOUN
cana-3817	86	11	.	.	PUNCT
cana-3817	87	1	secure	secure	ADJ
cana-3817	87	2	data	datum	NOUN
cana-3817	87	3	transmission	transmission	NOUN
cana-3817	87	4	is	be	AUX
cana-3817	87	5	achieved	achieve	VERB
cana-3817	87	6	by	by	ADP
cana-3817	87	7	the	the	DET
cana-3817	87	8	combination	combination	NOUN
cana-3817	87	9	of	of	ADP
cana-3817	87	10	a	a	DET
cana-3817	87	11	random	random	ADJ
cana-3817	87	12	forest	forest	NOUN
cana-3817	87	13	algorithm	algorithm	NOUN
cana-3817	87	14	and	and	CCONJ
cana-3817	87	15	deep	deep	ADJ
cana-3817	87	16	learning	learning	NOUN
cana-3817	87	17	.	.	PUNCT
cana-3817	88	1	sensitive	sensitive	ADJ
cana-3817	88	2	data	datum	NOUN
cana-3817	88	3	selection	selection	NOUN
cana-3817	88	4	and	and	CCONJ
cana-3817	88	5	data	datum	NOUN
cana-3817	88	6	security	security	NOUN
cana-3817	88	7	are	be	AUX
cana-3817	88	8	the	the	DET
cana-3817	88	9	two	two	NUM
cana-3817	88	10	primary	primary	ADJ
cana-3817	88	11	phases	phase	NOUN
cana-3817	88	12	of	of	ADP
cana-3817	88	13	the	the	DET
cana-3817	88	14	strategy	strategy	NOUN
cana-3817	88	15	that	that	PRON
cana-3817	88	16	the	the	DET
cana-3817	88	17	authors	author	NOUN
cana-3817	88	18	in	in	ADP
cana-3817	88	19	[	[	X
cana-3817	88	20	10	10	NUM
cana-3817	88	21	]	]	PUNCT
cana-3817	88	22	suggested	suggest	VERB
cana-3817	88	23	.	.	PUNCT
cana-3817	89	1	first	first	ADV
cana-3817	89	2	,	,	PUNCT
cana-3817	89	3	they	they	PRON
cana-3817	89	4	used	use	VERB
cana-3817	89	5	a	a	DET
cana-3817	89	6	deep	deep	ADJ
cana-3817	89	7	learning	learning	NOUN
cana-3817	89	8	method	method	NOUN
cana-3817	89	9	called	call	VERB
cana-3817	89	10	squeezenet	squeezenet	NOUN
cana-3817	89	11	to	to	PART
cana-3817	89	12	isolate	isolate	VERB
cana-3817	89	13	the	the	DET
cana-3817	89	14	sensitive	sensitive	ADJ
cana-3817	89	15	data	datum	NOUN
cana-3817	89	16	from	from	ADP
cana-3817	89	17	the	the	DET
cana-3817	89	18	acquired	acquire	VERB
cana-3817	89	19	data	datum	NOUN
cana-3817	89	20	.	.	PUNCT
cana-3817	90	1	the	the	DET
cana-3817	90	2	rat	rat	NOUN
cana-3817	90	3	optimization	optimization	NOUN
cana-3817	90	4	algorithm	algorithm	NOUN
cana-3817	90	5	(	(	PUNCT
cana-3817	90	6	roa	roa	NOUN
cana-3817	90	7	)	)	PUNCT
cana-3817	90	8	is	be	AUX
cana-3817	90	9	used	use	VERB
cana-3817	90	10	to	to	PART
cana-3817	90	11	properly	properly	ADV
cana-3817	90	12	pick	pick	VERB
cana-3817	90	13	the	the	DET
cana-3817	90	14	hyper	hyper	NOUN
cana-3817	90	15	-	-	NOUN
cana-3817	90	16	parameters	parameter	NOUN
cana-3817	90	17	of	of	ADP
cana-3817	90	18	squeezenet	squeezenet	NOUN
cana-3817	90	19	in	in	ADP
cana-3817	90	20	order	order	NOUN
cana-3817	90	21	to	to	PART
cana-3817	90	22	enhance	enhance	VERB
cana-3817	90	23	its	its	PRON
cana-3817	90	24	performance	performance	NOUN
cana-3817	90	25	.	.	PUNCT
cana-3817	91	1	a	a	DET
cana-3817	91	2	lightweight	lightweight	ADJ
cana-3817	91	3	transformation	transformation	NOUN
cana-3817	91	4	model	model	NOUN
cana-3817	91	5	(	(	PUNCT
cana-3817	91	6	lwtm	lwtm	PROPN
cana-3817	91	7	)	)	PUNCT
cana-3817	91	8	is	be	AUX
cana-3817	91	9	then	then	ADV
cana-3817	91	10	used	use	VERB
cana-3817	91	11	to	to	PART
cana-3817	91	12	encrypt	encrypt	VERB
cana-3817	91	13	the	the	DET
cana-3817	91	14	sensitive	sensitive	ADJ
cana-3817	91	15	data	datum	NOUN
cana-3817	91	16	.	.	PUNCT
cana-3817	92	1	lastly	lastly	ADV
cana-3817	92	2	,	,	PUNCT
cana-3817	92	3	the	the	DET
cana-3817	92	4	cloud	cloud	NOUN
cana-3817	92	5	is	be	AUX
cana-3817	92	6	where	where	SCONJ
cana-3817	92	7	the	the	DET
cana-3817	92	8	encrypted	encrypt	VERB
cana-3817	92	9	data	datum	NOUN
cana-3817	92	10	is	be	AUX
cana-3817	92	11	kept	keep	VERB
cana-3817	92	12	.	.	PUNCT
cana-3817	93	1	in	in	ADP
cana-3817	93	2	terms	term	NOUN
cana-3817	93	3	of	of	ADP
cana-3817	93	4	both	both	CCONJ
cana-3817	93	5	cipher	cipher	ADJ
cana-3817	93	6	size	size	NOUN
cana-3817	93	7	and	and	CCONJ
cana-3817	93	8	execution	execution	NOUN
cana-3817	93	9	time	time	NOUN
cana-3817	93	10	,	,	PUNCT
cana-3817	93	11	the	the	DET
cana-3817	93	12	proposed	propose	VERB
cana-3817	93	13	algorithm	algorithm	NOUN
cana-3817	93	14	offered	offer	VERB
cana-3817	93	15	better	well	ADJ
cana-3817	93	16	security	security	NOUN
cana-3817	93	17	than	than	ADP
cana-3817	93	18	existing	exist	VERB
cana-3817	93	19	cloud	cloud	NOUN
cana-3817	93	20	computing	computing	NOUN
cana-3817	93	21	standards	standard	NOUN
cana-3817	93	22	,	,	PUNCT
cana-3817	93	23	as	as	SCONJ
cana-3817	93	24	demonstrated	demonstrate	VERB
cana-3817	93	25	by	by	ADP
cana-3817	93	26	the	the	DET
cana-3817	93	27	experimental	experimental	ADJ
cana-3817	93	28	findings	finding	NOUN
cana-3817	93	29	.	.	PUNCT
cana-3817	94	1	when	when	SCONJ
cana-3817	94	2	reviewing	review	VERB
cana-3817	94	3	the	the	DET
cana-3817	94	4	data	datum	NOUN
cana-3817	94	5	,	,	PUNCT
cana-3817	94	6	the	the	DET
cana-3817	94	7	suggested	suggest	VERB
cana-3817	94	8	lwtm	lwtm	NOUN
cana-3817	94	9	model	model	NOUN
cana-3817	94	10	in	in	ADP
cana-3817	94	11	the	the	DET
cana-3817	94	12	paper	paper	NOUN
cana-3817	94	13	produced	produce	VERB
cana-3817	94	14	an	an	DET
cana-3817	94	15	average	average	ADJ
cana-3817	94	16	processing	processing	NOUN
cana-3817	94	17	period	period	NOUN
cana-3817	94	18	of	of	ADP
cana-3817	94	19	1.53	1.53	NUM
cana-3817	94	20	and	and	CCONJ
cana-3817	94	21	an	an	DET
cana-3817	94	22	average	average	ADJ
cana-3817	94	23	throughput	throughput	NOUN
cana-3817	94	24	(	(	PUNCT
cana-3817	94	25	kb	kb	PROPN
cana-3817	94	26	/	/	SYM
cana-3817	94	27	s	s	PROPN
cana-3817	94	28	)	)	PUNCT
cana-3817	94	29	of	of	ADP
cana-3817	94	30	190.08	190.08	NUM
cana-3817	94	31	.	.	PUNCT
cana-3817	95	1	in	in	ADP
cana-3817	95	2	order	order	NOUN
cana-3817	95	3	to	to	PART
cana-3817	95	4	capture	capture	VERB
cana-3817	95	5	inherent	inherent	ADJ
cana-3817	95	6	characteristics	characteristic	NOUN
cana-3817	95	7	of	of	ADP
cana-3817	95	8	the	the	DET
cana-3817	95	9	email	email	NOUN
cana-3817	95	10	text	text	NOUN
cana-3817	95	11	and	and	CCONJ
cana-3817	95	12	other	other	ADJ
cana-3817	95	13	features	feature	NOUN
cana-3817	95	14	to	to	PART
cana-3817	95	15	be	be	AUX
cana-3817	95	16	classified	classify	VERB
cana-3817	95	17	as	as	ADP
cana-3817	95	18	phishing	phishe	VERB
cana-3817	95	19	or	or	CCONJ
cana-3817	95	20	non	non	ADJ
cana-3817	95	21	-	-	ADJ
cana-3817	95	22	phishing	phishing	ADJ
cana-3817	95	23	using	use	VERB
cana-3817	95	24	three	three	NUM
cana-3817	95	25	different	different	ADJ
cana-3817	95	26	data	datum	NOUN
cana-3817	95	27	sets	set	NOUN
cana-3817	95	28	,	,	PUNCT
cana-3817	95	29	the	the	DET
cana-3817	95	30	study	study	NOUN
cana-3817	95	31	from	from	ADP
cana-3817	95	32	[	[	X
cana-3817	95	33	11	11	NUM
cana-3817	95	34	]	]	PUNCT
cana-3817	95	35	proposed	propose	VERB
cana-3817	95	36	a	a	DET
cana-3817	95	37	detection	detection	NOUN
cana-3817	95	38	model	model	NOUN
cana-3817	95	39	using	use	VERB
cana-3817	95	40	machine	machine	NOUN
cana-3817	95	41	learning	learn	VERB
cana-3817	95	42	techniques	technique	NOUN
cana-3817	95	43	by	by	ADP
cana-3817	95	44	splitting	split	VERB
cana-3817	95	45	the	the	DET
cana-3817	95	46	dataset	dataset	NOUN
cana-3817	95	47	to	to	PART
cana-3817	95	48	train	train	VERB
cana-3817	95	49	the	the	DET
cana-3817	95	50	detection	detection	NOUN
cana-3817	95	51	model	model	NOUN
cana-3817	95	52	and	and	CCONJ
cana-3817	95	53	validating	validate	VERB
cana-3817	95	54	the	the	DET
cana-3817	95	55	results	result	NOUN
cana-3817	95	56	using	use	VERB
cana-3817	95	57	the	the	DET
cana-3817	95	58	test	test	NOUN
cana-3817	95	59	data	datum	NOUN
cana-3817	95	60	.	.	PUNCT
cana-3817	96	1	after	after	ADP
cana-3817	96	2	comparing	compare	VERB
cana-3817	96	3	the	the	DET
cana-3817	96	4	results	result	NOUN
cana-3817	96	5	,	,	PUNCT
cana-3817	96	6	they	they	PRON
cana-3817	96	7	found	find	VERB
cana-3817	96	8	that	that	SCONJ
cana-3817	96	9	the	the	DET
cana-3817	96	10	most	most	ADV
cana-3817	96	11	features	feature	NOUN
cana-3817	96	12	used	use	VERB
cana-3817	96	13	produced	produce	VERB
cana-3817	96	14	the	the	DET
cana-3817	96	15	most	most	ADV
cana-3817	96	16	accurate	accurate	ADJ
cana-3817	96	17	and	and	CCONJ
cana-3817	96	18	efficient	efficient	ADJ
cana-3817	96	19	results	result	NOUN
cana-3817	96	20	.	.	PUNCT
cana-3817	97	1	for	for	ADP
cana-3817	97	2	the	the	DET
cana-3817	97	3	applied	apply	VERB
cana-3817	97	4	data	data	NOUN
cana-3817	97	5	sets	set	NOUN
cana-3817	97	6	,	,	PUNCT
cana-3817	97	7	the	the	DET
cana-3817	97	8	best	good	ADJ
cana-3817	97	9	ml	ml	ADP
cana-3817	97	10	algorithm	algorithm	NOUN
cana-3817	97	11	accuracy	accuracy	NOUN
cana-3817	97	12	for	for	ADP
cana-3817	97	13	boosted	boosted	ADJ
cana-3817	97	14	decision	decision	NOUN
cana-3817	97	15	trees	tree	NOUN
cana-3817	97	16	was	be	AUX
cana-3817	97	17	0.88	0.88	NUM
cana-3817	97	18	,	,	PUNCT
cana-3817	97	19	1.00	1.00	NUM
cana-3817	97	20	,	,	PUNCT
cana-3817	97	21	and	and	CCONJ
cana-3817	97	22	0.97	0.97	NUM
cana-3817	97	23	in	in	ADP
cana-3817	97	24	that	that	DET
cana-3817	97	25	order	order	NOUN
cana-3817	97	26	.	.	PUNCT
cana-3817	98	1	3	3	X
cana-3817	98	2	.	.	X
cana-3817	98	3	methodology	methodology	NOUN
cana-3817	98	4	remote	remote	ADJ
cana-3817	98	5	work	work	NOUN
cana-3817	98	6	environment	environment	NOUN
cana-3817	98	7	the	the	DET
cana-3817	98	8	covid-19	covid-19	PROPN
cana-3817	98	9	epidemic	epidemic	NOUN
cana-3817	98	10	,	,	PUNCT
cana-3817	98	11	which	which	PRON
cana-3817	98	12	compelled	compel	VERB
cana-3817	98	13	businesses	business	NOUN
cana-3817	98	14	all	all	ADV
cana-3817	98	15	over	over	ADP
cana-3817	98	16	the	the	DET
cana-3817	98	17	world	world	NOUN
cana-3817	98	18	to	to	PART
cana-3817	98	19	quickly	quickly	ADV
cana-3817	98	20	implement	implement	VERB
cana-3817	98	21	remote	remote	ADJ
cana-3817	98	22	work	work	NOUN
cana-3817	98	23	models	model	NOUN
cana-3817	98	24	,	,	PUNCT
cana-3817	98	25	has	have	AUX
cana-3817	98	26	significantly	significantly	ADV
cana-3817	98	27	hastened	hasten	VERB
cana-3817	98	28	the	the	DET
cana-3817	98	29	change	change	NOUN
cana-3817	98	30	in	in	ADP
cana-3817	98	31	the	the	DET
cana-3817	98	32	remote	remote	ADJ
cana-3817	98	33	work	work	NOUN
cana-3817	98	34	environment	environment	NOUN
cana-3817	98	35	in	in	ADP
cana-3817	98	36	cloud	cloud	NOUN
cana-3817	98	37	computing	computing	NOUN
cana-3817	98	38	.	.	PUNCT
cana-3817	99	1	platforms	platform	NOUN
cana-3817	99	2	for	for	ADP
cana-3817	99	3	cloud	cloud	NOUN
cana-3817	99	4	computing	computing	NOUN
cana-3817	99	5	,	,	PUNCT
cana-3817	99	6	which	which	PRON
cana-3817	99	7	provide	provide	VERB
cana-3817	99	8	accessibility	accessibility	NOUN
cana-3817	99	9	,	,	PUNCT
cana-3817	99	10	scalability	scalability	NOUN
cana-3817	99	11	,	,	PUNCT
cana-3817	99	12	and	and	CCONJ
cana-3817	99	13	flexibility	flexibility	NOUN
cana-3817	99	14	,	,	PUNCT
cana-3817	99	15	are	be	AUX
cana-3817	99	16	now	now	ADV
cana-3817	99	17	essential	essential	ADJ
cana-3817	99	18	to	to	ADP
cana-3817	99	19	this	this	DET
cana-3817	99	20	change	change	NOUN
cana-3817	99	21	.	.	PUNCT
cana-3817	100	1	virtual	virtual	ADJ
cana-3817	100	2	desktop	desktop	NOUN
cana-3817	100	3	infrastructure	infrastructure	NOUN
cana-3817	100	4	(	(	PUNCT
cana-3817	100	5	vdi	vdi	NOUN
cana-3817	100	6	)	)	PUNCT
cana-3817	100	7	and	and	CCONJ
cana-3817	100	8	cloud	cloud	NOUN
cana-3817	100	9	-	-	PUNCT
cana-3817	100	10	based	base	VERB
cana-3817	100	11	collaboration	collaboration	NOUN
cana-3817	100	12	applications	application	NOUN
cana-3817	100	13	(	(	PUNCT
cana-3817	100	14	like	like	ADP
cana-3817	100	15	microsoft	microsoft	PROPN
cana-3817	100	16	teams	team	NOUN
cana-3817	100	17	,	,	PUNCT
cana-3817	100	18	google	google	PROPN
cana-3817	100	19	workspace	workspace	NOUN
cana-3817	100	20	,	,	PUNCT
cana-3817	100	21	and	and	CCONJ
cana-3817	100	22	slack	slack	VERB
cana-3817	100	23	)	)	PUNCT
cana-3817	100	24	enable	enable	VERB
cana-3817	100	25	staff	staff	NOUN
cana-3817	100	26	members	member	NOUN
cana-3817	100	27	to	to	PART
cana-3817	100	28	access	access	VERB
cana-3817	100	29	corporate	corporate	ADJ
cana-3817	100	30	resources	resource	NOUN
cana-3817	100	31	,	,	PUNCT
cana-3817	100	32	communicate	communicate	VERB
cana-3817	100	33	,	,	PUNCT
cana-3817	100	34	and	and	CCONJ
cana-3817	100	35	work	work	VERB
cana-3817	100	36	together	together	ADV
cana-3817	100	37	efficiently	efficiently	ADV
cana-3817	100	38	from	from	ADP
cana-3817	100	39	any	any	DET
cana-3817	100	40	place	place	NOUN
cana-3817	100	41	.	.	PUNCT
cana-3817	101	1	the	the	DET
cana-3817	101	2	advantages	advantage	NOUN
cana-3817	101	3	of	of	ADP
cana-3817	101	4	cloud	cloud	NOUN
cana-3817	101	5	computing	computing	NOUN
cana-3817	101	6	,	,	PUNCT
cana-3817	101	7	such	such	ADJ
cana-3817	101	8	as	as	ADP
cana-3817	101	9	cost	cost	NOUN
cana-3817	101	10	savings	saving	NOUN
cana-3817	101	11	,	,	PUNCT
cana-3817	101	12	increased	increase	VERB
cana-3817	101	13	productivity	productivity	NOUN
cana-3817	101	14	,	,	PUNCT
cana-3817	101	15	and	and	CCONJ
cana-3817	101	16	the	the	DET
cana-3817	101	17	capacity	capacity	NOUN
cana-3817	101	18	to	to	PART
cana-3817	101	19	accommodate	accommodate	VERB
cana-3817	101	20	varied	varied	ADJ
cana-3817	101	21	,	,	PUNCT
cana-3817	101	22	dispersed	disperse	VERB
cana-3817	101	23	workforces	workforce	NOUN
cana-3817	101	24	,	,	PUNCT
cana-3817	101	25	have	have	AUX
cana-3817	101	26	been	be	AUX
cana-3817	101	27	brought	bring	VERB
cana-3817	101	28	to	to	ADP
cana-3817	101	29	light	light	NOUN
cana-3817	101	30	by	by	ADP
cana-3817	101	31	this	this	DET
cana-3817	101	32	shift	shift	NOUN
cana-3817	101	33	.	.	PUNCT
cana-3817	102	1	additionally	additionally	ADV
cana-3817	102	2	,	,	PUNCT
cana-3817	102	3	cloud	cloud	NOUN
cana-3817	102	4	communications	communication	NOUN
cana-3817	102	5	on	on	ADP
cana-3817	102	6	applied	apply	VERB
cana-3817	102	7	nonlinear	nonlinear	ADJ
cana-3817	102	8	analysis	analysis	NOUN
cana-3817	102	9	issn	issn	NOUN
cana-3817	102	10	:	:	PUNCT
cana-3817	102	11	1074	1074	NUM
cana-3817	102	12	-	-	PUNCT
cana-3817	102	13	133x	133x	NUM
cana-3817	102	14	vol	vol	NOUN
cana-3817	102	15	32	32	NUM
cana-3817	102	16	no	no	NOUN
cana-3817	102	17	.	.	PUNCT
cana-3817	103	1	8s	8s	PROPN
cana-3817	103	2	(	(	PUNCT
cana-3817	103	3	2025	2025	NUM
cana-3817	103	4	)	)	PUNCT
cana-3817	103	5	803	803	NUM
cana-3817	103	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	103	7	environments	environment	NOUN
cana-3817	103	8	make	make	VERB
cana-3817	103	9	it	it	PRON
cana-3817	103	10	easier	easy	ADJ
cana-3817	103	11	for	for	ADP
cana-3817	103	12	distant	distant	ADJ
cana-3817	103	13	personnel	personnel	NOUN
cana-3817	103	14	to	to	PART
cana-3817	103	15	maintain	maintain	VERB
cana-3817	103	16	business	business	NOUN
cana-3817	103	17	continuity	continuity	NOUN
cana-3817	103	18	by	by	ADP
cana-3817	103	19	providing	provide	VERB
cana-3817	103	20	seamless	seamless	ADJ
cana-3817	103	21	access	access	NOUN
cana-3817	103	22	to	to	ADP
cana-3817	103	23	enterprise	enterprise	NOUN
cana-3817	103	24	apps	app	NOUN
cana-3817	103	25	,	,	PUNCT
cana-3817	103	26	data	datum	NOUN
cana-3817	103	27	storage	storage	NOUN
cana-3817	103	28	,	,	PUNCT
cana-3817	103	29	and	and	CCONJ
cana-3817	103	30	computational	computational	ADJ
cana-3817	103	31	resources	resource	NOUN
cana-3817	103	32	.	.	PUNCT
cana-3817	104	1	the	the	DET
cana-3817	104	2	authors	author	NOUN
cana-3817	104	3	of	of	ADP
cana-3817	104	4	[	[	X
cana-3817	104	5	12	12	NUM
cana-3817	104	6	]	]	PUNCT
cana-3817	104	7	looked	look	VERB
cana-3817	104	8	at	at	ADP
cana-3817	104	9	how	how	SCONJ
cana-3817	104	10	the	the	DET
cana-3817	104	11	covid-19	covid-19	PROPN
cana-3817	104	12	pandemic	pandemic	ADJ
cana-3817	104	13	affected	affect	VERB
cana-3817	104	14	remote	remote	ADJ
cana-3817	104	15	work	work	NOUN
cana-3817	104	16	and	and	CCONJ
cana-3817	104	17	how	how	SCONJ
cana-3817	104	18	cloud	cloud	ADJ
cana-3817	104	19	computing	computing	NOUN
cana-3817	104	20	was	be	AUX
cana-3817	104	21	improving	improve	VERB
cana-3817	104	22	its	its	PRON
cana-3817	104	23	ability	ability	NOUN
cana-3817	104	24	to	to	PART
cana-3817	104	25	accommodate	accommodate	VERB
cana-3817	104	26	distant	distant	ADJ
cana-3817	104	27	work	work	NOUN
cana-3817	104	28	configurations	configuration	NOUN
cana-3817	104	29	.	.	PUNCT
cana-3817	105	1	the	the	DET
cana-3817	105	2	writers	writer	NOUN
cana-3817	105	3	talk	talk	VERB
cana-3817	105	4	about	about	ADP
cana-3817	105	5	cloud	cloud	NOUN
cana-3817	105	6	-	-	PUNCT
cana-3817	105	7	based	base	VERB
cana-3817	105	8	cyber	cyber	NOUN
cana-3817	105	9	security	security	NOUN
cana-3817	105	10	tactics	tactic	NOUN
cana-3817	105	11	and	and	CCONJ
cana-3817	105	12	threats	threat	NOUN
cana-3817	105	13	for	for	ADP
cana-3817	105	14	remote	remote	ADJ
cana-3817	105	15	teams	team	NOUN
cana-3817	105	16	.	.	PUNCT
cana-3817	106	1	by	by	ADP
cana-3817	106	2	examining	examine	VERB
cana-3817	106	3	the	the	DET
cana-3817	106	4	connections	connection	NOUN
cana-3817	106	5	between	between	ADP
cana-3817	106	6	remote	remote	ADJ
cana-3817	106	7	and	and	CCONJ
cana-3817	106	8	hybrid	hybrid	ADJ
cana-3817	106	9	working	working	NOUN
cana-3817	106	10	and	and	CCONJ
cana-3817	106	11	worker	worker	NOUN
cana-3817	106	12	well	well	ADV
cana-3817	106	13	-	-	PUNCT
cana-3817	106	14	being	being	NOUN
cana-3817	106	15	and	and	CCONJ
cana-3817	106	16	work	work	NOUN
cana-3817	106	17	-	-	PUNCT
cana-3817	106	18	life	life	NOUN
cana-3817	106	19	balance	balance	NOUN
cana-3817	106	20	,	,	PUNCT
cana-3817	106	21	leader	leader	NOUN
cana-3817	106	22	-	-	PUNCT
cana-3817	106	23	member	member	NOUN
cana-3817	106	24	exchange	exchange	NOUN
cana-3817	106	25	(	(	PUNCT
cana-3817	106	26	lmx	lmx	PROPN
cana-3817	106	27	)	)	PUNCT
cana-3817	106	28	,	,	PUNCT
cana-3817	106	29	knowledge	knowledge	NOUN
cana-3817	106	30	exchange	exchange	PROPN
cana-3817	106	31	,	,	PUNCT
cana-3817	106	32	workforce	workforce	NOUN
cana-3817	106	33	inclusion	inclusion	PROPN
cana-3817	106	34	,	,	PUNCT
cana-3817	106	35	learning	learning	NOUN
cana-3817	106	36	effectiveness	effectiveness	NOUN
cana-3817	106	37	,	,	PUNCT
cana-3817	106	38	sustainable	sustainable	ADJ
cana-3817	106	39	career	career	NOUN
cana-3817	106	40	development	development	NOUN
cana-3817	106	41	,	,	PUNCT
cana-3817	106	42	and	and	CCONJ
cana-3817	106	43	employee	employee	NOUN
cana-3817	106	44	voice	voice	NOUN
cana-3817	106	45	and	and	CCONJ
cana-3817	106	46	choice	choice	NOUN
cana-3817	106	47	in	in	ADP
cana-3817	106	48	shaping	shape	VERB
cana-3817	106	49	work	work	NOUN
cana-3817	106	50	practices	practice	NOUN
cana-3817	106	51	,	,	PUNCT
cana-3817	106	52	this	this	DET
cana-3817	106	53	special	special	ADJ
cana-3817	106	54	edition	edition	NOUN
cana-3817	106	55	adds	add	VERB
cana-3817	106	56	to	to	ADP
cana-3817	106	57	a	a	DET
cana-3817	106	58	significant	significant	ADJ
cana-3817	106	59	and	and	CCONJ
cana-3817	106	60	expanding	expand	VERB
cana-3817	106	61	research	research	NOUN
cana-3817	106	62	agenda	agenda	NOUN
cana-3817	106	63	on	on	ADP
cana-3817	106	64	the	the	DET
cana-3817	106	65	subject	subject	NOUN
cana-3817	106	66	.	.	PUNCT
cana-3817	107	1	concerns	concern	NOUN
cana-3817	107	2	around	around	ADP
cana-3817	107	3	data	datum	NOUN
cana-3817	107	4	protection	protection	NOUN
cana-3817	107	5	and	and	CCONJ
cana-3817	107	6	the	the	DET
cana-3817	107	7	requirement	requirement	NOUN
cana-3817	107	8	for	for	ADP
cana-3817	107	9	new	new	ADJ
cana-3817	107	10	information	information	NOUN
cana-3817	107	11	technology	technology	NOUN
cana-3817	107	12	skills	skill	NOUN
cana-3817	107	13	are	be	AUX
cana-3817	107	14	only	only	ADV
cana-3817	107	15	two	two	NUM
cana-3817	107	16	of	of	ADP
cana-3817	107	17	the	the	DET
cana-3817	107	18	potential	potential	ADJ
cana-3817	107	19	challenges	challenge	NOUN
cana-3817	107	20	that	that	PRON
cana-3817	107	21	could	could	AUX
cana-3817	107	22	result	result	VERB
cana-3817	107	23	from	from	ADP
cana-3817	107	24	the	the	DET
cana-3817	107	25	extensive	extensive	ADJ
cana-3817	107	26	usage	usage	NOUN
cana-3817	107	27	of	of	ADP
cana-3817	107	28	cloud	cloud	NOUN
cana-3817	107	29	computing	computing	NOUN
cana-3817	107	30	,	,	PUNCT
cana-3817	107	31	according	accord	VERB
cana-3817	107	32	to	to	ADP
cana-3817	107	33	[	[	X
cana-3817	107	34	13	13	NUM
cana-3817	107	35	]	]	PUNCT
cana-3817	107	36	.	.	PUNCT
cana-3817	108	1	in	in	ADP
cana-3817	108	2	addition	addition	NOUN
cana-3817	108	3	,	,	PUNCT
cana-3817	108	4	the	the	DET
cana-3817	108	5	paper	paper	NOUN
cana-3817	108	6	explores	explore	VERB
cana-3817	108	7	these	these	DET
cana-3817	108	8	challenges	challenge	NOUN
cana-3817	108	9	in	in	ADP
cana-3817	108	10	detail	detail	NOUN
cana-3817	108	11	and	and	CCONJ
cana-3817	108	12	offers	offer	VERB
cana-3817	108	13	solutions	solution	NOUN
cana-3817	108	14	.	.	PUNCT
cana-3817	109	1	this	this	DET
cana-3817	109	2	viewpoint	viewpoint	NOUN
cana-3817	109	3	clarified	clarify	VERB
cana-3817	109	4	how	how	SCONJ
cana-3817	109	5	,	,	PUNCT
cana-3817	109	6	in	in	ADP
cana-3817	109	7	the	the	DET
cana-3817	109	8	wake	wake	NOUN
cana-3817	109	9	of	of	ADP
cana-3817	109	10	covid-19	covid-19	PROPN
cana-3817	109	11	,	,	PUNCT
cana-3817	109	12	cloud	cloud	NOUN
cana-3817	109	13	computing	computing	NOUN
cana-3817	109	14	technologies	technology	NOUN
cana-3817	109	15	has	have	VERB
cana-3817	109	16	the	the	DET
cana-3817	109	17	potential	potential	NOUN
cana-3817	109	18	to	to	PART
cana-3817	109	19	significantly	significantly	ADV
cana-3817	109	20	alter	alter	VERB
cana-3817	109	21	the	the	DET
cana-3817	109	22	norms	norm	NOUN
cana-3817	109	23	for	for	ADP
cana-3817	109	24	remote	remote	ADJ
cana-3817	109	25	labor	labor	NOUN
cana-3817	109	26	in	in	ADP
cana-3817	109	27	the	the	DET
cana-3817	109	28	public	public	ADJ
cana-3817	109	29	sector	sector	NOUN
cana-3817	109	30	.	.	PUNCT
cana-3817	110	1	the	the	DET
cana-3817	110	2	article	article	NOUN
cana-3817	110	3	in	in	ADP
cana-3817	110	4	[	[	X
cana-3817	110	5	14	14	NUM
cana-3817	110	6	]	]	PUNCT
cana-3817	110	7	explains	explain	VERB
cana-3817	110	8	how	how	SCONJ
cana-3817	110	9	cloud	cloud	ADJ
cana-3817	110	10	computing	computing	NOUN
cana-3817	110	11	technology	technology	NOUN
cana-3817	110	12	can	can	AUX
cana-3817	110	13	change	change	VERB
cana-3817	110	14	the	the	DET
cana-3817	110	15	norms	norm	NOUN
cana-3817	110	16	for	for	ADP
cana-3817	110	17	remote	remote	ADJ
cana-3817	110	18	labor	labor	NOUN
cana-3817	110	19	in	in	ADP
cana-3817	110	20	the	the	DET
cana-3817	110	21	public	public	ADJ
cana-3817	110	22	sector	sector	NOUN
cana-3817	110	23	after	after	ADP
cana-3817	110	24	covid-19	covid-19	PROPN
cana-3817	110	25	.	.	PUNCT
cana-3817	111	1	it	it	PRON
cana-3817	111	2	looks	look	VERB
cana-3817	111	3	at	at	ADP
cana-3817	111	4	the	the	DET
cana-3817	111	5	main	main	ADJ
cana-3817	111	6	advantages	advantage	NOUN
cana-3817	111	7	of	of	ADP
cana-3817	111	8	cloud	cloud	NOUN
cana-3817	111	9	computing	computing	NOUN
cana-3817	111	10	,	,	PUNCT
cana-3817	111	11	including	include	VERB
cana-3817	111	12	lower	low	ADJ
cana-3817	111	13	it	it	PRON
cana-3817	111	14	costs	cost	VERB
cana-3817	111	15	,	,	PUNCT
cana-3817	111	16	more	more	ADJ
cana-3817	111	17	agility	agility	NOUN
cana-3817	111	18	,	,	PUNCT
cana-3817	111	19	and	and	CCONJ
cana-3817	111	20	improved	improved	ADJ
cana-3817	111	21	security	security	NOUN
cana-3817	111	22	,	,	PUNCT
cana-3817	111	23	which	which	PRON
cana-3817	111	24	make	make	VERB
cana-3817	111	25	it	it	PRON
cana-3817	111	26	a	a	DET
cana-3817	111	27	desirable	desirable	ADJ
cana-3817	111	28	choice	choice	NOUN
cana-3817	111	29	for	for	ADP
cana-3817	111	30	public	public	ADJ
cana-3817	111	31	sector	sector	NOUN
cana-3817	111	32	companies	company	NOUN
cana-3817	111	33	trying	try	VERB
cana-3817	111	34	to	to	PART
cana-3817	111	35	change	change	VERB
cana-3817	111	36	the	the	DET
cana-3817	111	37	way	way	NOUN
cana-3817	111	38	they	they	PRON
cana-3817	111	39	do	do	VERB
cana-3817	111	40	distant	distant	ADJ
cana-3817	111	41	work	work	NOUN
cana-3817	111	42	.	.	PUNCT
cana-3817	112	1	along	along	ADP
cana-3817	112	2	with	with	ADP
cana-3817	112	3	discussing	discuss	VERB
cana-3817	112	4	the	the	DET
cana-3817	112	5	main	main	ADJ
cana-3817	112	6	advantages	advantage	NOUN
cana-3817	112	7	of	of	ADP
cana-3817	112	8	cloud	cloud	NOUN
cana-3817	112	9	computing	computing	NOUN
cana-3817	112	10	and	and	CCONJ
cana-3817	112	11	its	its	PRON
cana-3817	112	12	possible	possible	ADJ
cana-3817	112	13	drawbacks	drawback	NOUN
cana-3817	112	14	,	,	PUNCT
cana-3817	112	15	including	include	VERB
cana-3817	112	16	data	datum	NOUN
cana-3817	112	17	privacy	privacy	NOUN
cana-3817	112	18	issues	issue	NOUN
cana-3817	112	19	and	and	CCONJ
cana-3817	112	20	the	the	DET
cana-3817	112	21	requirement	requirement	NOUN
cana-3817	112	22	for	for	ADP
cana-3817	112	23	new	new	ADJ
cana-3817	112	24	it	it	PRON
cana-3817	112	25	skills	skill	VERB
cana-3817	112	26	,	,	PUNCT
cana-3817	112	27	the	the	DET
cana-3817	112	28	paper	paper	NOUN
cana-3817	112	29	also	also	ADV
cana-3817	112	30	suggests	suggest	VERB
cana-3817	112	31	ways	way	NOUN
cana-3817	112	32	to	to	PART
cana-3817	112	33	overcome	overcome	VERB
cana-3817	112	34	these	these	DET
cana-3817	112	35	obstacles	obstacle	NOUN
cana-3817	112	36	.	.	PUNCT
cana-3817	113	1	traditional	traditional	ADJ
cana-3817	113	2	perimeter	perimeter	NOUN
cana-3817	113	3	based	base	VERB
cana-3817	113	4	security	security	NOUN
cana-3817	113	5	but	but	CCONJ
cana-3817	113	6	the	the	DET
cana-3817	113	7	move	move	NOUN
cana-3817	113	8	to	to	ADP
cana-3817	113	9	remote	remote	ADJ
cana-3817	113	10	work	work	NOUN
cana-3817	113	11	has	have	AUX
cana-3817	113	12	also	also	ADV
cana-3817	113	13	brought	bring	VERB
cana-3817	113	14	up	up	ADP
cana-3817	113	15	a	a	DET
cana-3817	113	16	number	number	NOUN
cana-3817	113	17	of	of	ADP
cana-3817	113	18	operational	operational	ADJ
cana-3817	113	19	and	and	CCONJ
cana-3817	113	20	security	security	NOUN
cana-3817	113	21	issues	issue	NOUN
cana-3817	113	22	.	.	PUNCT
cana-3817	114	1	in	in	ADP
cana-3817	114	2	cloud	cloud	NOUN
cana-3817	114	3	-	-	PUNCT
cana-3817	114	4	based	base	VERB
cana-3817	114	5	settings	setting	NOUN
cana-3817	114	6	,	,	PUNCT
cana-3817	114	7	where	where	SCONJ
cana-3817	114	8	employees	employee	NOUN
cana-3817	114	9	access	access	VERB
cana-3817	114	10	resources	resource	NOUN
cana-3817	114	11	from	from	ADP
cana-3817	114	12	several	several	ADJ
cana-3817	114	13	locations	location	NOUN
cana-3817	114	14	and	and	CCONJ
cana-3817	114	15	devices	device	NOUN
cana-3817	114	16	,	,	PUNCT
cana-3817	114	17	traditional	traditional	ADJ
cana-3817	114	18	security	security	NOUN
cana-3817	114	19	models	model	NOUN
cana-3817	114	20	—	—	PUNCT
cana-3817	114	21	which	which	PRON
cana-3817	114	22	were	be	AUX
cana-3817	114	23	created	create	VERB
cana-3817	114	24	for	for	ADP
cana-3817	114	25	on	on	ADP
cana-3817	114	26	-	-	PUNCT
cana-3817	114	27	premise	premise	ADJ
cana-3817	114	28	environments	environment	NOUN
cana-3817	114	29	with	with	ADP
cana-3817	114	30	distinct	distinct	ADJ
cana-3817	114	31	network	network	NOUN
cana-3817	114	32	perimeters	perimeter	NOUN
cana-3817	114	33	—	—	PUNCT
cana-3817	114	34	are	be	AUX
cana-3817	114	35	less	less	ADV
cana-3817	114	36	effective	effective	ADJ
cana-3817	114	37	.	.	PUNCT
cana-3817	115	1	organizations	organization	NOUN
cana-3817	115	2	must	must	AUX
cana-3817	115	3	have	have	VERB
cana-3817	115	4	strong	strong	ADJ
cana-3817	115	5	security	security	NOUN
cana-3817	115	6	measures	measure	NOUN
cana-3817	115	7	in	in	ADP
cana-3817	115	8	place	place	NOUN
cana-3817	115	9	,	,	PUNCT
cana-3817	115	10	such	such	ADJ
cana-3817	115	11	as	as	ADP
cana-3817	115	12	identity	identity	NOUN
cana-3817	115	13	and	and	CCONJ
cana-3817	115	14	access	access	NOUN
cana-3817	115	15	management	management	NOUN
cana-3817	115	16	(	(	PUNCT
cana-3817	115	17	iam	iam	PROPN
cana-3817	115	18	)	)	PUNCT
cana-3817	115	19	,	,	PUNCT
cana-3817	115	20	multi	multi	ADJ
cana-3817	115	21	-	-	ADJ
cana-3817	115	22	factor	factor	NOUN
cana-3817	115	23	authentication	authentication	NOUN
cana-3817	115	24	(	(	PUNCT
cana-3817	115	25	mfa	mfa	PROPN
cana-3817	115	26	)	)	PUNCT
cana-3817	115	27	,	,	PUNCT
cana-3817	115	28	and	and	CCONJ
cana-3817	115	29	strong	strong	ADJ
cana-3817	115	30	encryption	encryption	NOUN
cana-3817	115	31	,	,	PUNCT
cana-3817	115	32	due	due	ADP
cana-3817	115	33	to	to	ADP
cana-3817	115	34	the	the	DET
cana-3817	115	35	rise	rise	NOUN
cana-3817	115	36	in	in	ADP
cana-3817	115	37	cyber	cyber	ADJ
cana-3817	115	38	threats	threat	NOUN
cana-3817	115	39	like	like	ADP
cana-3817	115	40	malware	malware	NOUN
cana-3817	115	41	,	,	PUNCT
cana-3817	115	42	phishing	phishe	VERB
cana-3817	115	43	attacks	attack	NOUN
cana-3817	115	44	,	,	PUNCT
cana-3817	115	45	and	and	CCONJ
cana-3817	115	46	data	datum	NOUN
cana-3817	115	47	breaches	breach	NOUN
cana-3817	115	48	.	.	PUNCT
cana-3817	116	1	furthermore	furthermore	ADV
cana-3817	116	2	,	,	PUNCT
cana-3817	116	3	the	the	DET
cana-3817	116	4	absence	absence	NOUN
cana-3817	116	5	of	of	ADP
cana-3817	116	6	in	in	ADP
cana-3817	116	7	-	-	PUNCT
cana-3817	116	8	person	person	NOUN
cana-3817	116	9	interactions	interaction	NOUN
cana-3817	116	10	in	in	ADP
cana-3817	116	11	distant	distant	ADJ
cana-3817	116	12	work	work	NOUN
cana-3817	116	13	environments	environment	NOUN
cana-3817	116	14	might	might	AUX
cana-3817	116	15	affect	affect	VERB
cana-3817	116	16	communication	communication	NOUN
cana-3817	116	17	and	and	CCONJ
cana-3817	116	18	team	team	NOUN
cana-3817	116	19	chemistry	chemistry	NOUN
cana-3817	116	20	.	.	PUNCT
cana-3817	117	1	research	research	NOUN
cana-3817	117	2	on	on	ADP
cana-3817	117	3	boosting	boost	VERB
cana-3817	117	4	security	security	NOUN
cana-3817	117	5	,	,	PUNCT
cana-3817	117	6	improving	improve	VERB
cana-3817	117	7	user	user	NOUN
cana-3817	117	8	experience	experience	NOUN
cana-3817	117	9	,	,	PUNCT
cana-3817	117	10	and	and	CCONJ
cana-3817	117	11	creating	create	VERB
cana-3817	117	12	new	new	ADJ
cana-3817	117	13	models	model	NOUN
cana-3817	117	14	for	for	ADP
cana-3817	117	15	hybrid	hybrid	ADJ
cana-3817	117	16	work	work	NOUN
cana-3817	117	17	environments	environment	NOUN
cana-3817	117	18	—	—	PUNCT
cana-3817	117	19	which	which	PRON
cana-3817	117	20	combine	combine	VERB
cana-3817	117	21	in	in	ADP
cana-3817	117	22	-	-	PUNCT
cana-3817	117	23	office	office	NOUN
cana-3817	117	24	and	and	CCONJ
cana-3817	117	25	remote	remote	ADJ
cana-3817	117	26	work	work	NOUN
cana-3817	117	27	—	—	PUNCT
cana-3817	117	28	has	have	AUX
cana-3817	117	29	become	become	VERB
cana-3817	117	30	more	more	ADV
cana-3817	117	31	and	and	CCONJ
cana-3817	117	32	more	more	ADV
cana-3817	117	33	important	important	ADJ
cana-3817	117	34	as	as	SCONJ
cana-3817	117	35	businesses	business	NOUN
cana-3817	117	36	continue	continue	VERB
cana-3817	117	37	to	to	PART
cana-3817	117	38	rely	rely	VERB
cana-3817	117	39	on	on	ADP
cana-3817	117	40	cloud	cloud	NOUN
cana-3817	117	41	technologies	technology	NOUN
cana-3817	117	42	.	.	PUNCT
cana-3817	118	1	as	as	ADP
cana-3817	118	2	a	a	DET
cana-3817	118	3	result	result	NOUN
cana-3817	118	4	,	,	PUNCT
cana-3817	118	5	cutting	cut	VERB
cana-3817	118	6	-	-	PUNCT
cana-3817	118	7	edge	edge	NOUN
cana-3817	118	8	cloud	cloud	NOUN
cana-3817	118	9	security	security	NOUN
cana-3817	118	10	solutions	solution	NOUN
cana-3817	118	11	like	like	ADP
cana-3817	118	12	ai	ai	NOUN
cana-3817	118	13	-	-	PUNCT
cana-3817	118	14	based	base	VERB
cana-3817	118	15	threat	threat	NOUN
cana-3817	118	16	detection	detection	NOUN
cana-3817	118	17	systems	system	NOUN
cana-3817	118	18	and	and	CCONJ
cana-3817	118	19	zero	zero	NUM
cana-3817	118	20	trust	trust	NOUN
cana-3817	118	21	architecture	architecture	NOUN
cana-3817	118	22	have	have	AUX
cana-3817	118	23	emerged	emerge	VERB
cana-3817	118	24	.	.	PUNCT
cana-3817	119	1	these	these	PRON
cana-3817	119	2	are	be	AUX
cana-3817	119	3	essential	essential	ADJ
cana-3817	119	4	for	for	ADP
cana-3817	119	5	preserving	preserve	VERB
cana-3817	119	6	the	the	DET
cana-3817	119	7	integrity	integrity	NOUN
cana-3817	119	8	of	of	ADP
cana-3817	119	9	cloud	cloud	NOUN
cana-3817	119	10	infrastructures	infrastructure	NOUN
cana-3817	119	11	in	in	ADP
cana-3817	119	12	the	the	DET
cana-3817	119	13	context	context	NOUN
cana-3817	119	14	of	of	ADP
cana-3817	119	15	remote	remote	ADJ
cana-3817	119	16	work	work	NOUN
cana-3817	119	17	.	.	PUNCT
cana-3817	120	1	the	the	DET
cana-3817	120	2	authors	author	NOUN
cana-3817	120	3	of	of	ADP
cana-3817	120	4	[	[	X
cana-3817	120	5	15	15	NUM
cana-3817	120	6	]	]	PUNCT
cana-3817	120	7	provide	provide	VERB
cana-3817	120	8	a	a	DET
cana-3817	120	9	thorough	thorough	ADJ
cana-3817	120	10	framework	framework	NOUN
cana-3817	120	11	for	for	ADP
cana-3817	120	12	protecting	protect	VERB
cana-3817	120	13	privacy	privacy	NOUN
cana-3817	120	14	and	and	CCONJ
cana-3817	120	15	security	security	NOUN
cana-3817	120	16	while	while	SCONJ
cana-3817	120	17	also	also	ADV
cana-3817	120	18	outlining	outline	VERB
cana-3817	120	19	some	some	PRON
cana-3817	120	20	of	of	ADP
cana-3817	120	21	the	the	DET
cana-3817	120	22	concerns	concern	NOUN
cana-3817	120	23	associated	associate	VERB
cana-3817	120	24	with	with	ADP
cana-3817	120	25	cloud	cloud	NOUN
cana-3817	120	26	computing	computing	NOUN
cana-3817	120	27	.	.	PUNCT
cana-3817	121	1	they	they	PRON
cana-3817	121	2	talked	talk	VERB
cana-3817	121	3	about	about	ADP
cana-3817	121	4	the	the	DET
cana-3817	121	5	development	development	NOUN
cana-3817	121	6	of	of	ADP
cana-3817	121	7	a	a	DET
cana-3817	121	8	number	number	NOUN
cana-3817	121	9	of	of	ADP
cana-3817	121	10	technologies	technology	NOUN
cana-3817	121	11	,	,	PUNCT
cana-3817	121	12	including	include	VERB
cana-3817	121	13	searchable	searchable	ADJ
cana-3817	121	14	encryption	encryption	NOUN
cana-3817	121	15	(	(	PUNCT
cana-3817	121	16	se	se	X
cana-3817	121	17	)	)	PUNCT
cana-3817	121	18	,	,	PUNCT
cana-3817	121	19	hierarchical	hierarchical	ADJ
cana-3817	121	20	encryption	encryption	NOUN
cana-3817	121	21	,	,	PUNCT
cana-3817	121	22	finegrain	finegrain	NOUN
cana-3817	121	23	,	,	PUNCT
cana-3817	121	24	multi	multi	ADJ
cana-3817	121	25	-	-	ADJ
cana-3817	121	26	authority	authority	ADJ
cana-3817	121	27	proxy	proxy	NOUN
cana-3817	121	28	re	re	NOUN
cana-3817	121	29	-	-	NOUN
cana-3817	121	30	encryption	encryption	NOUN
cana-3817	121	31	(	(	PUNCT
cana-3817	121	32	pre	pre	ADJ
cana-3817	121	33	)	)	PUNCT
cana-3817	121	34	,	,	PUNCT
cana-3817	121	35	cipher	cipher	ADJ
cana-3817	121	36	text	text	NOUN
cana-3817	121	37	policy	policy	NOUN
cana-3817	121	38	attribute	attribute	NOUN
cana-3817	121	39	-	-	PUNCT
cana-3817	121	40	based	base	VERB
cana-3817	121	41	encryption	encryption	NOUN
cana-3817	121	42	(	(	PUNCT
cana-3817	121	43	cpabe	cpabe	NOUN
cana-3817	121	44	)	)	PUNCT
cana-3817	121	45	,	,	PUNCT
cana-3817	121	46	key	key	ADJ
cana-3817	121	47	policy	policy	NOUN
cana-3817	121	48	attribute	attribute	NOUN
cana-3817	121	49	-	-	PUNCT
cana-3817	121	50	based	base	VERB
cana-3817	121	51	encryption	encryption	NOUN
cana-3817	121	52	(	(	PUNCT
cana-3817	121	53	kp	kp	PROPN
cana-3817	121	54	-	-	PUNCT
cana-3817	121	55	abe	abe	PROPN
cana-3817	121	56	)	)	PUNCT
cana-3817	121	57	,	,	PUNCT
cana-3817	121	58	and	and	CCONJ
cana-3817	121	59	access	access	NOUN
cana-3817	121	60	control	control	NOUN
cana-3817	121	61	.	.	PUNCT
cana-3817	122	1	after	after	ADP
cana-3817	122	2	summarizing	summarize	VERB
cana-3817	122	3	a	a	DET
cana-3817	122	4	variety	variety	NOUN
cana-3817	122	5	of	of	ADP
cana-3817	122	6	technologies	technology	NOUN
cana-3817	122	7	,	,	PUNCT
cana-3817	122	8	they	they	PRON
cana-3817	122	9	compared	compare	VERB
cana-3817	122	10	and	and	CCONJ
cana-3817	122	11	examined	examine	VERB
cana-3817	122	12	the	the	DET
cana-3817	122	13	traits	trait	NOUN
cana-3817	122	14	and	and	CCONJ
cana-3817	122	15	range	range	NOUN
cana-3817	122	16	of	of	ADP
cana-3817	122	17	applications	application	NOUN
cana-3817	122	18	of	of	ADP
cana-3817	122	19	common	common	ADJ
cana-3817	122	20	schemes	scheme	NOUN
cana-3817	122	21	.	.	PUNCT
cana-3817	123	1	communications	communication	NOUN
cana-3817	123	2	on	on	ADP
cana-3817	123	3	applied	apply	VERB
cana-3817	123	4	nonlinear	nonlinear	ADJ
cana-3817	123	5	analysis	analysis	NOUN
cana-3817	123	6	issn	issn	NOUN
cana-3817	123	7	:	:	PUNCT
cana-3817	123	8	1074	1074	NUM
cana-3817	123	9	-	-	PUNCT
cana-3817	123	10	133x	133x	NUM
cana-3817	123	11	vol	vol	NOUN
cana-3817	123	12	32	32	NUM
cana-3817	123	13	no	no	NOUN
cana-3817	123	14	.	.	PUNCT
cana-3817	124	1	8s	8s	PROPN
cana-3817	124	2	(	(	PUNCT
cana-3817	124	3	2025	2025	NUM
cana-3817	124	4	)	)	PUNCT
cana-3817	124	5	804	804	NUM
cana-3817	124	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	124	7	the	the	DET
cana-3817	124	8	fundamentals	fundamental	NOUN
cana-3817	124	9	of	of	ADP
cana-3817	124	10	zero	zero	NUM
cana-3817	124	11	trust	trust	NOUN
cana-3817	124	12	architecture	architecture	NOUN
cana-3817	124	13	(	(	PUNCT
cana-3817	124	14	zta	zta	NOUN
cana-3817	124	15	)	)	PUNCT
cana-3817	124	16	,	,	PUNCT
cana-3817	124	17	such	such	ADJ
cana-3817	124	18	as	as	ADP
cana-3817	124	19	secure	secure	ADJ
cana-3817	124	20	communication	communication	NOUN
cana-3817	124	21	,	,	PUNCT
cana-3817	124	22	microsegmentation	microsegmentation	NOUN
cana-3817	124	23	,	,	PUNCT
cana-3817	124	24	least	least	ADJ
cana-3817	124	25	privilege	privilege	NOUN
cana-3817	124	26	access	access	NOUN
cana-3817	124	27	,	,	PUNCT
cana-3817	124	28	robust	robust	ADJ
cana-3817	124	29	identification	identification	NOUN
cana-3817	124	30	and	and	CCONJ
cana-3817	124	31	access	access	NOUN
cana-3817	124	32	control	control	NOUN
cana-3817	124	33	,	,	PUNCT
cana-3817	124	34	and	and	CCONJ
cana-3817	124	35	ongoing	ongoing	ADJ
cana-3817	124	36	monitoring	monitoring	NOUN
cana-3817	124	37	,	,	PUNCT
cana-3817	124	38	were	be	AUX
cana-3817	124	39	studied	study	VERB
cana-3817	124	40	by	by	ADP
cana-3817	124	41	the	the	DET
cana-3817	124	42	authors	author	NOUN
cana-3817	124	43	of	of	ADP
cana-3817	124	44	[	[	X
cana-3817	124	45	16	16	NUM
cana-3817	124	46	]	]	PUNCT
cana-3817	124	47	.	.	PUNCT
cana-3817	125	1	it	it	PRON
cana-3817	125	2	explores	explore	VERB
cana-3817	125	3	how	how	SCONJ
cana-3817	125	4	zta	zta	PROPN
cana-3817	125	5	is	be	AUX
cana-3817	125	6	used	use	VERB
cana-3817	125	7	in	in	ADP
cana-3817	125	8	platform	platform	NOUN
cana-3817	125	9	engineering	engineering	NOUN
cana-3817	125	10	,	,	PUNCT
cana-3817	125	11	emphasizing	emphasize	VERB
cana-3817	125	12	its	its	PRON
cana-3817	125	13	advantages	advantage	NOUN
cana-3817	125	14	,	,	PUNCT
cana-3817	125	15	which	which	PRON
cana-3817	125	16	include	include	VERB
cana-3817	125	17	better	well	ADJ
cana-3817	125	18	security	security	NOUN
cana-3817	125	19	,	,	PUNCT
cana-3817	125	20	increased	increase	VERB
cana-3817	125	21	compliance	compliance	NOUN
cana-3817	125	22	,	,	PUNCT
cana-3817	125	23	resistance	resistance	NOUN
cana-3817	125	24	to	to	ADP
cana-3817	125	25	threats	threat	NOUN
cana-3817	125	26	,	,	PUNCT
cana-3817	125	27	flexibility	flexibility	NOUN
cana-3817	125	28	in	in	ADP
cana-3817	125	29	changing	change	VERB
cana-3817	125	30	contexts	contexts	NOUN
cana-3817	125	31	,	,	PUNCT
cana-3817	125	32	and	and	CCONJ
cana-3817	125	33	visibility	visibility	NOUN
cana-3817	125	34	.	.	PUNCT
cana-3817	126	1	the	the	DET
cana-3817	126	2	difficulties	difficulty	NOUN
cana-3817	126	3	of	of	ADP
cana-3817	126	4	putting	put	VERB
cana-3817	126	5	zta	zta	NOUN
cana-3817	126	6	into	into	ADP
cana-3817	126	7	practice	practice	NOUN
cana-3817	126	8	are	be	AUX
cana-3817	126	9	also	also	ADV
cana-3817	126	10	covered	cover	VERB
cana-3817	126	11	in	in	ADP
cana-3817	126	12	the	the	DET
cana-3817	126	13	essay	essay	NOUN
cana-3817	126	14	,	,	PUNCT
cana-3817	126	15	including	include	VERB
cana-3817	126	16	its	its	PRON
cana-3817	126	17	complexity	complexity	NOUN
cana-3817	126	18	,	,	PUNCT
cana-3817	126	19	possible	possible	ADJ
cana-3817	126	20	performance	performance	NOUN
cana-3817	126	21	issues	issue	NOUN
cana-3817	126	22	,	,	PUNCT
cana-3817	126	23	user	user	NOUN
cana-3817	126	24	experience	experience	NOUN
cana-3817	126	25	issues	issue	NOUN
cana-3817	126	26	,	,	PUNCT
cana-3817	126	27	financial	financial	ADJ
cana-3817	126	28	ramifications	ramification	NOUN
cana-3817	126	29	,	,	PUNCT
cana-3817	126	30	and	and	CCONJ
cana-3817	126	31	vendor	vendor	NOUN
cana-3817	126	32	lock	lock	NOUN
cana-3817	126	33	-	-	PUNCT
cana-3817	126	34	in	in	ADP
cana-3817	126	35	risk	risk	NOUN
cana-3817	126	36	.	.	PUNCT
cana-3817	127	1	the	the	DET
cana-3817	127	2	article	article	NOUN
cana-3817	127	3	illustrates	illustrate	VERB
cana-3817	127	4	how	how	SCONJ
cana-3817	127	5	zta	zta	X
cana-3817	127	6	tackles	tackle	VERB
cana-3817	127	7	important	important	ADJ
cana-3817	127	8	security	security	NOUN
cana-3817	127	9	issues	issue	NOUN
cana-3817	127	10	in	in	ADP
cana-3817	127	11	contemporary	contemporary	ADJ
cana-3817	127	12	cloud	cloud	NOUN
cana-3817	127	13	environments	environment	NOUN
cana-3817	127	14	by	by	ADP
cana-3817	127	15	analyzing	analyze	VERB
cana-3817	127	16	industry	industry	NOUN
cana-3817	127	17	trends	trend	NOUN
cana-3817	127	18	,	,	PUNCT
cana-3817	127	19	adoption	adoption	NOUN
cana-3817	127	20	rates	rate	NOUN
cana-3817	127	21	,	,	PUNCT
cana-3817	127	22	and	and	CCONJ
cana-3817	127	23	measurable	measurable	ADJ
cana-3817	127	24	advantages	advantage	NOUN
cana-3817	127	25	.	.	PUNCT
cana-3817	128	1	in	in	ADP
cana-3817	128	2	the	the	DET
cana-3817	128	3	end	end	NOUN
cana-3817	128	4	,	,	PUNCT
cana-3817	128	5	this	this	PRON
cana-3817	128	6	helps	help	VERB
cana-3817	128	7	enterprises	enterprise	NOUN
cana-3817	128	8	to	to	PART
cana-3817	128	9	develop	develop	VERB
cana-3817	128	10	more	more	ADV
cana-3817	128	11	robust	robust	ADJ
cana-3817	128	12	,	,	PUNCT
cana-3817	128	13	compliant	compliant	ADJ
cana-3817	128	14	,	,	PUNCT
cana-3817	128	15	and	and	CCONJ
cana-3817	128	16	flexible	flexible	ADJ
cana-3817	128	17	platforms	platform	NOUN
cana-3817	128	18	in	in	ADP
cana-3817	128	19	the	the	DET
cana-3817	128	20	face	face	NOUN
cana-3817	128	21	of	of	ADP
cana-3817	128	22	changing	change	VERB
cana-3817	128	23	cyber	cyber	NOUN
cana-3817	128	24	threats	threat	NOUN
cana-3817	128	25	.	.	PUNCT
cana-3817	129	1	secure	secure	ADJ
cana-3817	129	2	software	software	NOUN
cana-3817	129	3	-	-	PUNCT
cana-3817	129	4	defined	define	VERB
cana-3817	129	5	perimeters	perimeter	NOUN
cana-3817	129	6	(	(	PUNCT
cana-3817	129	7	sdp	sdp	NOUN
cana-3817	129	8	)	)	PUNCT
cana-3817	129	9	,	,	PUNCT
cana-3817	129	10	a	a	DET
cana-3817	129	11	sophisticated	sophisticated	ADJ
cana-3817	129	12	development	development	NOUN
cana-3817	129	13	of	of	ADP
cana-3817	129	14	the	the	DET
cana-3817	129	15	sdp	sdp	NOUN
cana-3817	129	16	architecture	architecture	NOUN
cana-3817	129	17	intended	intend	VERB
cana-3817	129	18	to	to	PART
cana-3817	129	19	improve	improve	VERB
cana-3817	129	20	scalability	scalability	NOUN
cana-3817	129	21	and	and	CCONJ
cana-3817	129	22	strengthen	strengthen	VERB
cana-3817	129	23	security	security	NOUN
cana-3817	129	24	for	for	ADP
cana-3817	129	25	every	every	DET
cana-3817	129	26	network	network	NOUN
cana-3817	129	27	component	component	NOUN
cana-3817	129	28	,	,	PUNCT
cana-3817	129	29	were	be	AUX
cana-3817	129	30	introduced	introduce	VERB
cana-3817	129	31	by	by	ADP
cana-3817	129	32	authors	author	NOUN
cana-3817	129	33	from	from	ADP
cana-3817	129	34	[	[	X
cana-3817	129	35	17	17	NUM
cana-3817	129	36	]	]	PUNCT
cana-3817	129	37	.	.	PUNCT
cana-3817	130	1	securesdp	securesdp	PROPN
cana-3817	130	2	is	be	AUX
cana-3817	130	3	notable	notable	ADJ
cana-3817	130	4	for	for	ADP
cana-3817	130	5	its	its	PRON
cana-3817	130	6	smooth	smooth	ADJ
cana-3817	130	7	integration	integration	NOUN
cana-3817	130	8	into	into	ADP
cana-3817	130	9	a	a	DET
cana-3817	130	10	wide	wide	ADJ
cana-3817	130	11	range	range	NOUN
cana-3817	130	12	of	of	ADP
cana-3817	130	13	organizational	organizational	ADJ
cana-3817	130	14	structures	structure	NOUN
cana-3817	130	15	and	and	CCONJ
cana-3817	130	16	for	for	ADP
cana-3817	130	17	providing	provide	VERB
cana-3817	130	18	a	a	DET
cana-3817	130	19	strong	strong	ADJ
cana-3817	130	20	and	and	CCONJ
cana-3817	130	21	all	all	ADV
cana-3817	130	22	-	-	PUNCT
cana-3817	130	23	encompassing	encompass	VERB
cana-3817	130	24	security	security	NOUN
cana-3817	130	25	solution	solution	NOUN
cana-3817	130	26	that	that	PRON
cana-3817	130	27	fortifies	fortify	VERB
cana-3817	130	28	the	the	DET
cana-3817	130	29	network	network	NOUN
cana-3817	130	30	's	's	PART
cana-3817	130	31	defenses	defense	NOUN
cana-3817	130	32	at	at	ADP
cana-3817	130	33	every	every	DET
cana-3817	130	34	level	level	NOUN
cana-3817	130	35	.	.	PUNCT
cana-3817	131	1	thorough	thorough	ADJ
cana-3817	131	2	experimental	experimental	ADJ
cana-3817	131	3	evaluations	evaluation	NOUN
cana-3817	131	4	show	show	VERB
cana-3817	131	5	securesdp	securesdp	NOUN
cana-3817	131	6	's	's	PART
cana-3817	131	7	exceptional	exceptional	ADJ
cana-3817	131	8	performance	performance	NOUN
cana-3817	131	9	in	in	ADP
cana-3817	131	10	enhancing	enhance	VERB
cana-3817	131	11	network	network	NOUN
cana-3817	131	12	security	security	NOUN
cana-3817	131	13	and	and	CCONJ
cana-3817	131	14	scalability	scalability	NOUN
cana-3817	131	15	,	,	PUNCT
cana-3817	131	16	demonstrating	demonstrate	VERB
cana-3817	131	17	its	its	PRON
cana-3817	131	18	significant	significant	ADJ
cana-3817	131	19	breakthrough	breakthrough	NOUN
cana-3817	131	20	.	.	PUNCT
cana-3817	132	1	in	in	ADP
cana-3817	132	2	particular	particular	ADJ
cana-3817	132	3	,	,	PUNCT
cana-3817	132	4	securesdp	securesdp	NOUN
cana-3817	132	5	significantly	significantly	ADV
cana-3817	132	6	improved	improve	VERB
cana-3817	132	7	the	the	DET
cana-3817	132	8	hardening	hardening	NOUN
cana-3817	132	9	scores	score	NOUN
cana-3817	132	10	for	for	ADP
cana-3817	132	11	the	the	DET
cana-3817	132	12	sdp	sdp	NOUN
cana-3817	132	13	controller	controller	NOUN
cana-3817	132	14	in	in	ADP
cana-3817	132	15	lynis	lynis	PROPN
cana-3817	132	16	(	(	PUNCT
cana-3817	132	17	65	65	NUM
cana-3817	132	18	%	%	NOUN
cana-3817	132	19	)	)	PUNCT
cana-3817	132	20	,	,	PUNCT
cana-3817	132	21	chef	chef	NOUN
cana-3817	132	22	inspec	inspec	NOUN
cana-3817	132	23	(	(	PUNCT
cana-3817	132	24	78	78	NUM
cana-3817	132	25	%	%	NOUN
cana-3817	132	26	)	)	PUNCT
cana-3817	132	27	,	,	PUNCT
cana-3817	132	28	and	and	CCONJ
cana-3817	132	29	openscap	openscap	NOUN
cana-3817	132	30	(	(	PUNCT
cana-3817	132	31	30	30	NUM
cana-3817	132	32	%	%	NOUN
cana-3817	132	33	)	)	PUNCT
cana-3817	132	34	.	.	PUNCT
cana-3817	133	1	deep	deep	ADJ
cana-3817	133	2	learning	learning	NOUN
cana-3817	133	3	techniques	technique	NOUN
cana-3817	133	4	for	for	ADP
cana-3817	133	5	cloud	cloud	ADJ
cana-3817	133	6	data	datum	NOUN
cana-3817	133	7	security	security	NOUN
cana-3817	133	8	cloud	cloud	NOUN
cana-3817	133	9	computing	computing	NOUN
cana-3817	133	10	's	's	PART
cana-3817	133	11	user	user	NOUN
cana-3817	133	12	and	and	CCONJ
cana-3817	133	13	entity	entity	NOUN
cana-3817	133	14	behavior	behavior	NOUN
cana-3817	133	15	analytics	analytic	NOUN
cana-3817	133	16	(	(	PUNCT
cana-3817	133	17	ueba	ueba	PROPN
cana-3817	133	18	)	)	PUNCT
cana-3817	133	19	,	,	PUNCT
cana-3817	133	20	risk	risk	NOUN
cana-3817	133	21	scoring	scoring	NOUN
cana-3817	133	22	,	,	PUNCT
cana-3817	133	23	and	and	CCONJ
cana-3817	133	24	adaptive	adaptive	ADJ
cana-3817	133	25	authentication	authentication	NOUN
cana-3817	133	26	have	have	AUX
cana-3817	133	27	all	all	PRON
cana-3817	133	28	showed	show	VERB
cana-3817	133	29	significant	significant	ADJ
cana-3817	133	30	promise	promise	NOUN
cana-3817	133	31	thanks	thank	NOUN
cana-3817	133	32	to	to	ADP
cana-3817	133	33	deep	deep	ADJ
cana-3817	133	34	learning	learning	NOUN
cana-3817	133	35	approaches	approach	NOUN
cana-3817	133	36	.	.	PUNCT
cana-3817	134	1	deep	deep	ADJ
cana-3817	134	2	learning	learning	NOUN
cana-3817	134	3	models	model	NOUN
cana-3817	134	4	,	,	PUNCT
cana-3817	134	5	which	which	PRON
cana-3817	134	6	employ	employ	VERB
cana-3817	134	7	complex	complex	ADJ
cana-3817	134	8	algorithms	algorithm	NOUN
cana-3817	134	9	,	,	PUNCT
cana-3817	134	10	can	can	AUX
cana-3817	134	11	improve	improve	VERB
cana-3817	134	12	cloud	cloud	NOUN
cana-3817	134	13	system	system	NOUN
cana-3817	134	14	security	security	NOUN
cana-3817	134	15	by	by	ADP
cana-3817	134	16	identifying	identify	VERB
cana-3817	134	17	unusual	unusual	ADJ
cana-3817	134	18	activity	activity	NOUN
cana-3817	134	19	,	,	PUNCT
cana-3817	134	20	calculating	calculate	VERB
cana-3817	134	21	risk	risk	NOUN
cana-3817	134	22	based	base	VERB
cana-3817	134	23	on	on	ADP
cana-3817	134	24	user	user	NOUN
cana-3817	134	25	activity	activity	NOUN
cana-3817	134	26	patterns	pattern	NOUN
cana-3817	134	27	,	,	PUNCT
cana-3817	134	28	and	and	CCONJ
cana-3817	134	29	instantly	instantly	ADV
cana-3817	134	30	modifying	modify	VERB
cana-3817	134	31	authentication	authentication	NOUN
cana-3817	134	32	procedures	procedure	NOUN
cana-3817	134	33	.	.	PUNCT
cana-3817	135	1	a	a	DET
cana-3817	135	2	synopsis	synopsis	NOUN
cana-3817	135	3	of	of	ADP
cana-3817	135	4	the	the	DET
cana-3817	135	5	deep	deep	ADJ
cana-3817	135	6	learning	learning	NOUN
cana-3817	135	7	methods	method	NOUN
cana-3817	135	8	applied	apply	VERB
cana-3817	135	9	in	in	ADP
cana-3817	135	10	each	each	PRON
cana-3817	135	11	of	of	ADP
cana-3817	135	12	these	these	DET
cana-3817	135	13	fields	field	NOUN
cana-3817	135	14	is	be	AUX
cana-3817	135	15	provided	provide	VERB
cana-3817	135	16	below	below	ADV
cana-3817	135	17	,	,	PUNCT
cana-3817	135	18	along	along	ADP
cana-3817	135	19	with	with	ADP
cana-3817	135	20	noteworthy	noteworthy	ADJ
cana-3817	135	21	study	study	NOUN
cana-3817	135	22	findings	finding	NOUN
cana-3817	135	23	:	:	PUNCT
cana-3817	135	24	user	user	NOUN
cana-3817	135	25	and	and	CCONJ
cana-3817	135	26	entity	entity	NOUN
cana-3817	135	27	behavior	behavior	NOUN
cana-3817	135	28	analytics	analytic	NOUN
cana-3817	135	29	(	(	PUNCT
cana-3817	135	30	ueba	ueba	PROPN
cana-3817	135	31	)	)	PUNCT
cana-3817	135	32	with	with	ADP
cana-3817	135	33	deep	deep	ADJ
cana-3817	135	34	learning	learning	NOUN
cana-3817	135	35	in	in	ADP
cana-3817	135	36	order	order	NOUN
cana-3817	135	37	to	to	PART
cana-3817	135	38	identify	identify	VERB
cana-3817	135	39	departures	departure	NOUN
cana-3817	135	40	from	from	ADP
cana-3817	135	41	the	the	DET
cana-3817	135	42	usual	usual	ADJ
cana-3817	135	43	,	,	PUNCT
cana-3817	135	44	ueba	ueba	ADJ
cana-3817	135	45	monitors	monitor	NOUN
cana-3817	135	46	and	and	CCONJ
cana-3817	135	47	analyzes	analyze	VERB
cana-3817	135	48	user	user	NOUN
cana-3817	135	49	and	and	CCONJ
cana-3817	135	50	entity	entity	NOUN
cana-3817	135	51	behavior	behavior	NOUN
cana-3817	135	52	.	.	PUNCT
cana-3817	136	1	unusual	unusual	ADJ
cana-3817	136	2	access	access	NOUN
cana-3817	136	3	patterns	pattern	NOUN
cana-3817	136	4	,	,	PUNCT
cana-3817	136	5	repeated	repeat	VERB
cana-3817	136	6	unsuccessful	unsuccessful	ADJ
cana-3817	136	7	login	login	NOUN
cana-3817	136	8	attempts	attempt	NOUN
cana-3817	136	9	,	,	PUNCT
cana-3817	136	10	or	or	CCONJ
cana-3817	136	11	using	use	VERB
cana-3817	136	12	resources	resource	NOUN
cana-3817	136	13	outside	outside	ADP
cana-3817	136	14	of	of	ADP
cana-3817	136	15	regular	regular	ADJ
cana-3817	136	16	business	business	NOUN
cana-3817	136	17	hours	hour	NOUN
cana-3817	136	18	are	be	AUX
cana-3817	136	19	examples	example	NOUN
cana-3817	136	20	of	of	ADP
cana-3817	136	21	anomalies	anomaly	NOUN
cana-3817	136	22	that	that	PRON
cana-3817	136	23	could	could	AUX
cana-3817	136	24	point	point	VERB
cana-3817	136	25	to	to	ADP
cana-3817	136	26	a	a	DET
cana-3817	136	27	security	security	NOUN
cana-3817	136	28	risk	risk	NOUN
cana-3817	136	29	.	.	PUNCT
cana-3817	137	1	deep	deep	ADJ
cana-3817	137	2	learning	learning	NOUN
cana-3817	137	3	techniques	technique	NOUN
cana-3817	137	4	applied	apply	VERB
cana-3817	137	5	:	:	PUNCT
cana-3817	137	6	•	•	NUM
cana-3817	137	7	autoencoders	autoencoder	NOUN
cana-3817	137	8	(	(	PUNCT
cana-3817	137	9	aes	aes	PROPN
cana-3817	137	10	):	):	PUNCT
cana-3817	137	11	the	the	DET
cana-3817	137	12	typical	typical	ADJ
cana-3817	137	13	patterns	pattern	NOUN
cana-3817	137	14	of	of	ADP
cana-3817	137	15	user	user	NOUN
cana-3817	137	16	and	and	CCONJ
cana-3817	137	17	entity	entity	NOUN
cana-3817	137	18	behavior	behavior	NOUN
cana-3817	137	19	are	be	AUX
cana-3817	137	20	learned	learn	VERB
cana-3817	137	21	using	use	VERB
cana-3817	137	22	these	these	DET
cana-3817	137	23	unsupervised	unsupervised	ADJ
cana-3817	137	24	models	model	NOUN
cana-3817	137	25	.	.	PUNCT
cana-3817	138	1	to	to	PART
cana-3817	138	2	find	find	VERB
cana-3817	138	3	anomalies	anomaly	NOUN
cana-3817	138	4	,	,	PUNCT
cana-3817	138	5	they	they	PRON
cana-3817	138	6	then	then	ADV
cana-3817	138	7	contrast	contrast	VERB
cana-3817	138	8	this	this	DET
cana-3817	138	9	learnt	learnt	ADJ
cana-3817	138	10	"	"	PUNCT
cana-3817	138	11	normal	normal	ADJ
cana-3817	138	12	"	"	PUNCT
cana-3817	138	13	profile	profile	NOUN
cana-3817	138	14	with	with	ADP
cana-3817	138	15	incoming	incoming	ADJ
cana-3817	138	16	user	user	NOUN
cana-3817	138	17	behavior	behavior	NOUN
cana-3817	138	18	data	datum	NOUN
cana-3817	138	19	.	.	PUNCT
cana-3817	139	1	results	result	NOUN
cana-3817	139	2	:	:	PUNCT
cana-3817	139	3	by	by	ADP
cana-3817	139	4	reconstructing	reconstruct	VERB
cana-3817	139	5	user	user	NOUN
cana-3817	139	6	activity	activity	NOUN
cana-3817	139	7	logs	log	NOUN
cana-3817	139	8	,	,	PUNCT
cana-3817	139	9	autoencoders	autoencoder	NOUN
cana-3817	139	10	have	have	AUX
cana-3817	139	11	been	be	AUX
cana-3817	139	12	demonstrated	demonstrate	VERB
cana-3817	139	13	to	to	PART
cana-3817	139	14	successfully	successfully	ADV
cana-3817	139	15	identify	identify	VERB
cana-3817	139	16	abnormalities	abnormality	NOUN
cana-3817	139	17	in	in	ADP
cana-3817	139	18	user	user	NOUN
cana-3817	139	19	behavior	behavior	NOUN
cana-3817	139	20	.	.	PUNCT
cana-3817	140	1	the	the	DET
cana-3817	140	2	reconstruction	reconstruction	NOUN
cana-3817	140	3	error	error	NOUN
cana-3817	140	4	rises	rise	VERB
cana-3817	140	5	when	when	SCONJ
cana-3817	140	6	a	a	DET
cana-3817	140	7	user	user	NOUN
cana-3817	140	8	's	's	PART
cana-3817	140	9	behavior	behavior	NOUN
cana-3817	140	10	departs	depart	VERB
cana-3817	140	11	from	from	ADP
cana-3817	140	12	the	the	DET
cana-3817	140	13	pattern	pattern	NOUN
cana-3817	140	14	they	they	PRON
cana-3817	140	15	have	have	AUX
cana-3817	140	16	learned	learn	VERB
cana-3817	140	17	,	,	PUNCT
cana-3817	140	18	indicating	indicate	VERB
cana-3817	140	19	that	that	SCONJ
cana-3817	140	20	the	the	DET
cana-3817	140	21	behavior	behavior	NOUN
cana-3817	140	22	is	be	AUX
cana-3817	140	23	abnormal	abnormal	ADJ
cana-3817	140	24	.	.	PUNCT
cana-3817	141	1	an	an	DET
cana-3817	141	2	autoencoder	autoencoder	NOUN
cana-3817	141	3	was	be	AUX
cana-3817	141	4	able	able	ADJ
cana-3817	141	5	to	to	PART
cana-3817	141	6	detect	detect	VERB
cana-3817	141	7	anomalous	anomalous	ADJ
cana-3817	141	8	login	login	NOUN
cana-3817	141	9	activity	activity	NOUN
cana-3817	141	10	in	in	ADP
cana-3817	141	11	one	one	NUM
cana-3817	141	12	investigation	investigation	NOUN
cana-3817	141	13	with	with	ADP
cana-3817	141	14	a	a	DET
cana-3817	141	15	detection	detection	NOUN
cana-3817	141	16	accuracy	accuracy	NOUN
cana-3817	141	17	of	of	ADP
cana-3817	141	18	up	up	ADP
cana-3817	141	19	to	to	PART
cana-3817	141	20	90	90	NUM
cana-3817	141	21	%	%	NOUN
cana-3817	141	22	.	.	PUNCT
cana-3817	142	1	•	•	NOUN
cana-3817	142	2	recurrent	recurrent	ADJ
cana-3817	142	3	neural	neural	ADJ
cana-3817	142	4	networks	network	NOUN
cana-3817	142	5	(	(	PUNCT
cana-3817	142	6	rnns	rnns	PROPN
cana-3817	142	7	)	)	PUNCT
cana-3817	142	8	and	and	CCONJ
cana-3817	142	9	long	long	ADJ
cana-3817	142	10	short	short	ADJ
cana-3817	142	11	-	-	PUNCT
cana-3817	142	12	term	term	NOUN
cana-3817	142	13	memory	memory	NOUN
cana-3817	142	14	networks	network	NOUN
cana-3817	142	15	(	(	PUNCT
cana-3817	142	16	lstms	lstms	ADJ
cana-3817	142	17	):	):	PUNCT
cana-3817	142	18	when	when	SCONJ
cana-3817	142	19	examining	examine	VERB
cana-3817	142	20	time	time	NOUN
cana-3817	142	21	-	-	PUNCT
cana-3817	142	22	series	series	NOUN
cana-3817	142	23	data	datum	NOUN
cana-3817	142	24	,	,	PUNCT
cana-3817	142	25	such	such	DET
cana-3817	142	26	the	the	DET
cana-3817	142	27	order	order	NOUN
cana-3817	142	28	of	of	ADP
cana-3817	142	29	user	user	NOUN
cana-3817	142	30	actions	action	NOUN
cana-3817	142	31	or	or	CCONJ
cana-3817	142	32	api	api	NOUN
cana-3817	142	33	requests	request	NOUN
cana-3817	142	34	,	,	PUNCT
cana-3817	142	35	these	these	DET
cana-3817	142	36	models	model	NOUN
cana-3817	142	37	are	be	AUX
cana-3817	142	38	communications	communication	NOUN
cana-3817	142	39	on	on	ADP
cana-3817	142	40	applied	apply	VERB
cana-3817	142	41	nonlinear	nonlinear	ADJ
cana-3817	142	42	analysis	analysis	NOUN
cana-3817	142	43	issn	issn	NOUN
cana-3817	142	44	:	:	PUNCT
cana-3817	142	45	1074	1074	NUM
cana-3817	142	46	-	-	PUNCT
cana-3817	142	47	133x	133x	NUM
cana-3817	142	48	vol	vol	NOUN
cana-3817	142	49	32	32	NUM
cana-3817	142	50	no	no	NOUN
cana-3817	142	51	.	.	PUNCT
cana-3817	143	1	8s	8s	PROPN
cana-3817	143	2	(	(	PUNCT
cana-3817	143	3	2025	2025	NUM
cana-3817	143	4	)	)	PUNCT
cana-3817	143	5	805	805	NUM
cana-3817	143	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	143	7	especially	especially	ADV
cana-3817	143	8	helpful	helpful	ADJ
cana-3817	143	9	.	.	PUNCT
cana-3817	144	1	lstms	lstms	PROPN
cana-3817	144	2	are	be	AUX
cana-3817	144	3	particularly	particularly	ADV
cana-3817	144	4	good	good	ADJ
cana-3817	144	5	at	at	ADP
cana-3817	144	6	identifying	identify	VERB
cana-3817	144	7	deviations	deviation	NOUN
cana-3817	144	8	in	in	ADP
cana-3817	144	9	sequential	sequential	ADJ
cana-3817	144	10	data	datum	NOUN
cana-3817	144	11	and	and	CCONJ
cana-3817	144	12	modeling	model	VERB
cana-3817	144	13	long	long	ADJ
cana-3817	144	14	-	-	PUNCT
cana-3817	144	15	term	term	NOUN
cana-3817	144	16	dependencies	dependency	NOUN
cana-3817	144	17	.	.	PUNCT
cana-3817	145	1	results	result	NOUN
cana-3817	145	2	:	:	PUNCT
cana-3817	145	3	by	by	ADP
cana-3817	145	4	recording	record	VERB
cana-3817	145	5	temporal	temporal	ADJ
cana-3817	145	6	patterns	pattern	NOUN
cana-3817	145	7	,	,	PUNCT
cana-3817	145	8	lstm	lstm	NOUN
cana-3817	145	9	models	model	NOUN
cana-3817	145	10	can	can	AUX
cana-3817	145	11	simulate	simulate	VERB
cana-3817	145	12	consecutive	consecutive	ADJ
cana-3817	145	13	user	user	NOUN
cana-3817	145	14	behaviors	behavior	NOUN
cana-3817	145	15	,	,	PUNCT
cana-3817	145	16	increasing	increase	VERB
cana-3817	145	17	the	the	DET
cana-3817	145	18	accuracy	accuracy	NOUN
cana-3817	145	19	of	of	ADP
cana-3817	145	20	anomaly	anomaly	NOUN
cana-3817	145	21	identification	identification	NOUN
cana-3817	145	22	.	.	PUNCT
cana-3817	146	1	a	a	DET
cana-3817	146	2	study	study	NOUN
cana-3817	146	3	using	use	VERB
cana-3817	146	4	lstm	lstm	NOUN
cana-3817	146	5	-	-	PUNCT
cana-3817	146	6	based	base	VERB
cana-3817	146	7	ueba	ueba	NOUN
cana-3817	146	8	,	,	PUNCT
cana-3817	146	9	for	for	ADP
cana-3817	146	10	instance	instance	NOUN
cana-3817	146	11	,	,	PUNCT
cana-3817	146	12	demonstrated	demonstrate	VERB
cana-3817	146	13	a	a	DET
cana-3817	146	14	15	15	NUM
cana-3817	146	15	%	%	NOUN
cana-3817	146	16	increase	increase	NOUN
cana-3817	146	17	in	in	ADP
cana-3817	146	18	detection	detection	NOUN
cana-3817	146	19	accuracy	accuracy	NOUN
cana-3817	146	20	over	over	ADP
cana-3817	146	21	conventional	conventional	ADJ
cana-3817	146	22	statistical	statistical	ADJ
cana-3817	146	23	techniques	technique	NOUN
cana-3817	146	24	(	(	PUNCT
cana-3817	146	25	such	such	ADJ
cana-3817	146	26	as	as	ADP
cana-3817	146	27	clustering	clustering	NOUN
cana-3817	146	28	-	-	PUNCT
cana-3817	146	29	based	base	VERB
cana-3817	146	30	approaches	approach	NOUN
cana-3817	146	31	)	)	PUNCT
cana-3817	146	32	.	.	PUNCT
cana-3817	147	1	•	•	NOUN
cana-3817	147	2	graph	graph	NOUN
cana-3817	147	3	neural	neural	ADJ
cana-3817	147	4	networks	network	NOUN
cana-3817	147	5	(	(	PUNCT
cana-3817	147	6	gnns	gnns	ADJ
cana-3817	147	7	):	):	PUNCT
cana-3817	147	8	gnns	gnn	NOUN
cana-3817	147	9	have	have	AUX
cana-3817	147	10	been	be	AUX
cana-3817	147	11	used	use	VERB
cana-3817	147	12	to	to	PART
cana-3817	147	13	simulate	simulate	VERB
cana-3817	147	14	ueba	ueba	PROPN
cana-3817	147	15	because	because	SCONJ
cana-3817	147	16	it	it	PRON
cana-3817	147	17	frequently	frequently	ADV
cana-3817	147	18	involves	involve	VERB
cana-3817	147	19	relationships	relationship	NOUN
cana-3817	147	20	between	between	ADP
cana-3817	147	21	numerous	numerous	ADJ
cana-3817	147	22	entities	entity	NOUN
cana-3817	147	23	(	(	PUNCT
cana-3817	147	24	e.g.	e.g.	ADV
cana-3817	147	25	,	,	PUNCT
cana-3817	147	26	people	people	NOUN
cana-3817	147	27	interacting	interact	VERB
cana-3817	147	28	with	with	ADP
cana-3817	147	29	systems	system	NOUN
cana-3817	147	30	,	,	PUNCT
cana-3817	147	31	devices	device	NOUN
cana-3817	147	32	,	,	PUNCT
cana-3817	147	33	and	and	CCONJ
cana-3817	147	34	apps	app	NOUN
cana-3817	147	35	)	)	PUNCT
cana-3817	147	36	.	.	PUNCT
cana-3817	148	1	in	in	ADP
cana-3817	148	2	order	order	NOUN
cana-3817	148	3	to	to	PART
cana-3817	148	4	identify	identify	VERB
cana-3817	148	5	coordinated	coordinate	VERB
cana-3817	148	6	attacks	attack	NOUN
cana-3817	148	7	or	or	CCONJ
cana-3817	148	8	insider	insider	NOUN
cana-3817	148	9	threats	threat	NOUN
cana-3817	148	10	,	,	PUNCT
cana-3817	148	11	gnns	gnn	NOUN
cana-3817	148	12	identify	identify	VERB
cana-3817	148	13	intricate	intricate	ADJ
cana-3817	148	14	relationships	relationship	NOUN
cana-3817	148	15	in	in	ADP
cana-3817	148	16	data	datum	NOUN
cana-3817	148	17	.	.	PUNCT
cana-3817	149	1	results	result	NOUN
cana-3817	149	2	:	:	PUNCT
cana-3817	149	3	in	in	ADP
cana-3817	149	4	comparison	comparison	NOUN
cana-3817	149	5	to	to	ADP
cana-3817	149	6	more	more	ADJ
cana-3817	149	7	conventional	conventional	ADJ
cana-3817	149	8	techniques	technique	NOUN
cana-3817	149	9	like	like	ADP
cana-3817	149	10	decision	decision	NOUN
cana-3817	149	11	trees	tree	NOUN
cana-3817	149	12	,	,	PUNCT
cana-3817	149	13	a	a	DET
cana-3817	149	14	gnn	gnn	NOUN
cana-3817	149	15	-	-	PUNCT
cana-3817	149	16	based	base	VERB
cana-3817	149	17	ueba	ueba	NOUN
cana-3817	149	18	system	system	NOUN
cana-3817	149	19	showed	show	VERB
cana-3817	149	20	up	up	ADP
cana-3817	149	21	to	to	PART
cana-3817	149	22	95	95	NUM
cana-3817	149	23	%	%	NOUN
cana-3817	149	24	detection	detection	NOUN
cana-3817	149	25	accuracy	accuracy	NOUN
cana-3817	149	26	in	in	ADP
cana-3817	149	27	recognizing	recognize	VERB
cana-3817	149	28	complex	complex	ADJ
cana-3817	149	29	attack	attack	NOUN
cana-3817	149	30	patterns	pattern	NOUN
cana-3817	149	31	,	,	PUNCT
cana-3817	149	32	including	include	VERB
cana-3817	149	33	insider	insider	NOUN
cana-3817	149	34	attacks	attack	NOUN
cana-3817	149	35	and	and	CCONJ
cana-3817	149	36	lateral	lateral	ADJ
cana-3817	149	37	movement	movement	NOUN
cana-3817	149	38	within	within	ADP
cana-3817	149	39	a	a	DET
cana-3817	149	40	network	network	NOUN
cana-3817	149	41	.	.	PUNCT
cana-3817	150	1	risk	risk	NOUN
cana-3817	150	2	scoring	scoring	NOUN
cana-3817	150	3	with	with	ADP
cana-3817	150	4	deep	deep	ADJ
cana-3817	150	5	learning	learning	NOUN
cana-3817	150	6	in	in	ADP
cana-3817	150	7	cloud	cloud	ADJ
cana-3817	150	8	security	security	NOUN
cana-3817	150	9	,	,	PUNCT
cana-3817	150	10	risk	risk	NOUN
cana-3817	150	11	scoring	scoring	NOUN
cana-3817	150	12	is	be	AUX
cana-3817	150	13	assessing	assess	VERB
cana-3817	150	14	the	the	DET
cana-3817	150	15	possibility	possibility	NOUN
cana-3817	150	16	of	of	ADP
cana-3817	150	17	a	a	DET
cana-3817	150	18	security	security	NOUN
cana-3817	150	19	breach	breach	NOUN
cana-3817	150	20	by	by	ADP
cana-3817	150	21	looking	look	VERB
cana-3817	150	22	at	at	ADP
cana-3817	150	23	how	how	SCONJ
cana-3817	150	24	users	user	NOUN
cana-3817	150	25	or	or	CCONJ
cana-3817	150	26	entities	entity	NOUN
cana-3817	150	27	behave	behave	VERB
cana-3817	150	28	.	.	PUNCT
cana-3817	151	1	by	by	ADP
cana-3817	151	2	examining	examine	VERB
cana-3817	151	3	past	past	ADJ
cana-3817	151	4	data	datum	NOUN
cana-3817	151	5	and	and	CCONJ
cana-3817	151	6	current	current	ADJ
cana-3817	151	7	behavior	behavior	NOUN
cana-3817	151	8	patterns	pattern	NOUN
cana-3817	151	9	,	,	PUNCT
cana-3817	151	10	deep	deep	ADJ
cana-3817	151	11	learning	learning	NOUN
cana-3817	151	12	can	can	AUX
cana-3817	151	13	be	be	AUX
cana-3817	151	14	utilized	utilize	VERB
cana-3817	151	15	to	to	PART
cana-3817	151	16	continuously	continuously	ADV
cana-3817	151	17	modify	modify	VERB
cana-3817	151	18	and	and	CCONJ
cana-3817	151	19	improve	improve	VERB
cana-3817	151	20	risk	risk	NOUN
cana-3817	151	21	assessments	assessment	NOUN
cana-3817	151	22	.	.	PUNCT
cana-3817	152	1	deep	deep	ADJ
cana-3817	152	2	learning	learning	NOUN
cana-3817	152	3	techniques	technique	NOUN
cana-3817	152	4	applied	apply	VERB
cana-3817	152	5	:	:	PUNCT
cana-3817	152	6	•	•	NUM
cana-3817	152	7	deep	deep	ADJ
cana-3817	152	8	autoencoders	autoencoder	NOUN
cana-3817	152	9	for	for	ADP
cana-3817	152	10	anomaly	anomaly	NOUN
cana-3817	152	11	scoring	scoring	NOUN
cana-3817	152	12	:	:	PUNCT
cana-3817	152	13	normal	normal	ADJ
cana-3817	152	14	behavior	behavior	NOUN
cana-3817	152	15	profiles	profile	NOUN
cana-3817	152	16	can	can	AUX
cana-3817	152	17	be	be	AUX
cana-3817	152	18	rebuilt	rebuild	VERB
cana-3817	152	19	by	by	ADP
cana-3817	152	20	autoencoders	autoencoder	NOUN
cana-3817	152	21	,	,	PUNCT
cana-3817	152	22	and	and	CCONJ
cana-3817	152	23	the	the	DET
cana-3817	152	24	reconstruction	reconstruction	NOUN
cana-3817	152	25	error	error	NOUN
cana-3817	152	26	can	can	AUX
cana-3817	152	27	be	be	AUX
cana-3817	152	28	used	use	VERB
cana-3817	152	29	to	to	PART
cana-3817	152	30	calculate	calculate	VERB
cana-3817	152	31	an	an	DET
cana-3817	152	32	anomaly	anomaly	NOUN
cana-3817	152	33	score	score	NOUN
cana-3817	152	34	.	.	PUNCT
cana-3817	153	1	the	the	DET
cana-3817	153	2	risk	risk	NOUN
cana-3817	153	3	score	score	NOUN
cana-3817	153	4	can	can	AUX
cana-3817	153	5	then	then	ADV
cana-3817	153	6	be	be	AUX
cana-3817	153	7	instantly	instantly	ADV
cana-3817	153	8	updated	update	VERB
cana-3817	153	9	using	use	VERB
cana-3817	153	10	this	this	DET
cana-3817	153	11	error	error	NOUN
cana-3817	153	12	.	.	PUNCT
cana-3817	154	1	results	result	NOUN
cana-3817	154	2	:	:	PUNCT
cana-3817	154	3	autoencoders	autoencoder	NOUN
cana-3817	154	4	were	be	AUX
cana-3817	154	5	employed	employ	VERB
cana-3817	154	6	to	to	PART
cana-3817	154	7	track	track	VERB
cana-3817	154	8	user	user	NOUN
cana-3817	154	9	behavior	behavior	NOUN
cana-3817	154	10	constantly	constantly	ADV
cana-3817	154	11	and	and	CCONJ
cana-3817	154	12	generate	generate	VERB
cana-3817	154	13	a	a	DET
cana-3817	154	14	risk	risk	NOUN
cana-3817	154	15	score	score	NOUN
cana-3817	154	16	based	base	VERB
cana-3817	154	17	on	on	ADP
cana-3817	154	18	the	the	DET
cana-3817	154	19	departure	departure	NOUN
cana-3817	154	20	from	from	ADP
cana-3817	154	21	typical	typical	ADJ
cana-3817	154	22	behavior	behavior	NOUN
cana-3817	154	23	.	.	PUNCT
cana-3817	155	1	in	in	ADP
cana-3817	155	2	one	one	NUM
cana-3817	155	3	deployment	deployment	NOUN
cana-3817	155	4	,	,	PUNCT
cana-3817	155	5	more	more	ADV
cana-3817	155	6	accurate	accurate	ADJ
cana-3817	155	7	risk	risk	NOUN
cana-3817	155	8	evaluations	evaluation	NOUN
cana-3817	155	9	resulted	result	VERB
cana-3817	155	10	from	from	ADP
cana-3817	155	11	a	a	DET
cana-3817	155	12	20	20	NUM
cana-3817	155	13	%	%	NOUN
cana-3817	155	14	decrease	decrease	NOUN
cana-3817	155	15	in	in	ADP
cana-3817	155	16	the	the	DET
cana-3817	155	17	false	false	ADJ
cana-3817	155	18	positive	positive	ADJ
cana-3817	155	19	rate	rate	NOUN
cana-3817	155	20	when	when	SCONJ
cana-3817	155	21	compared	compare	VERB
cana-3817	155	22	to	to	ADP
cana-3817	155	23	simpler	simple	ADJ
cana-3817	155	24	statistical	statistical	ADJ
cana-3817	155	25	models	model	NOUN
cana-3817	155	26	.	.	PUNCT
cana-3817	156	1	•	•	NUM
cana-3817	156	2	multilayer	multilayer	PROPN
cana-3817	156	3	perceptron	perceptron	PROPN
cana-3817	156	4	(	(	PUNCT
cana-3817	156	5	mlp	mlp	NOUN
cana-3817	156	6	)	)	PUNCT
cana-3817	156	7	networks	network	NOUN
cana-3817	156	8	:	:	PUNCT
cana-3817	156	9	users	user	NOUN
cana-3817	156	10	or	or	CCONJ
cana-3817	156	11	behaviors	behavior	NOUN
cana-3817	156	12	can	can	AUX
cana-3817	156	13	be	be	AUX
cana-3817	156	14	categorized	categorize	VERB
cana-3817	156	15	into	into	ADP
cana-3817	156	16	risk	risk	NOUN
cana-3817	156	17	categories	category	NOUN
cana-3817	156	18	(	(	PUNCT
cana-3817	156	19	e.g.	e.g.	ADV
cana-3817	156	20	,	,	PUNCT
cana-3817	156	21	low	low	ADJ
cana-3817	156	22	,	,	PUNCT
cana-3817	156	23	medium	medium	ADJ
cana-3817	156	24	,	,	PUNCT
cana-3817	156	25	high	high	ADJ
cana-3817	156	26	)	)	PUNCT
cana-3817	156	27	using	use	VERB
cana-3817	156	28	mlp	mlp	PROPN
cana-3817	156	29	networks	network	NOUN
cana-3817	156	30	,	,	PUNCT
cana-3817	156	31	a	a	DET
cana-3817	156	32	sort	sort	NOUN
cana-3817	156	33	of	of	ADP
cana-3817	156	34	feed	feed	NOUN
cana-3817	156	35	forward	forward	ADV
cana-3817	156	36	neural	neural	ADJ
cana-3817	156	37	network	network	NOUN
cana-3817	156	38	.	.	PUNCT
cana-3817	157	1	to	to	PART
cana-3817	157	2	calculate	calculate	VERB
cana-3817	157	3	the	the	DET
cana-3817	157	4	risk	risk	NOUN
cana-3817	157	5	score	score	NOUN
cana-3817	157	6	,	,	PUNCT
cana-3817	157	7	these	these	DET
cana-3817	157	8	algorithms	algorithm	NOUN
cana-3817	157	9	make	make	VERB
cana-3817	157	10	advantage	advantage	NOUN
cana-3817	157	11	of	of	ADP
cana-3817	157	12	attributes	attribute	NOUN
cana-3817	157	13	including	include	VERB
cana-3817	157	14	past	past	ADJ
cana-3817	157	15	behavior	behavior	NOUN
cana-3817	157	16	,	,	PUNCT
cana-3817	157	17	user	user	NOUN
cana-3817	157	18	credentials	credential	NOUN
cana-3817	157	19	,	,	PUNCT
cana-3817	157	20	and	and	CCONJ
cana-3817	157	21	contextual	contextual	ADJ
cana-3817	157	22	information	information	NOUN
cana-3817	157	23	(	(	PUNCT
cana-3817	157	24	such	such	ADJ
cana-3817	157	25	as	as	ADP
cana-3817	157	26	ip	ip	DET
cana-3817	157	27	addresses	address	NOUN
cana-3817	157	28	and	and	CCONJ
cana-3817	157	29	geo	geo	PROPN
cana-3817	157	30	location	location	NOUN
cana-3817	157	31	)	)	PUNCT
cana-3817	157	32	.	.	PUNCT
cana-3817	158	1	results	result	NOUN
cana-3817	158	2	:	:	PUNCT
cana-3817	158	3	an	an	DET
cana-3817	158	4	mlp	mlp	NOUN
cana-3817	158	5	network	network	NOUN
cana-3817	158	6	was	be	AUX
cana-3817	158	7	used	use	VERB
cana-3817	158	8	in	in	ADP
cana-3817	158	9	a	a	DET
cana-3817	158	10	study	study	NOUN
cana-3817	158	11	to	to	PART
cana-3817	158	12	forecast	forecast	VERB
cana-3817	158	13	user	user	NOUN
cana-3817	158	14	risk	risk	NOUN
cana-3817	158	15	scores	score	NOUN
cana-3817	158	16	;	;	PUNCT
cana-3817	158	17	in	in	ADP
cana-3817	158	18	comparison	comparison	NOUN
cana-3817	158	19	to	to	ADP
cana-3817	158	20	conventional	conventional	ADJ
cana-3817	158	21	risk	risk	NOUN
cana-3817	158	22	scoring	scoring	NOUN
cana-3817	158	23	models	model	NOUN
cana-3817	158	24	,	,	PUNCT
cana-3817	158	25	the	the	DET
cana-3817	158	26	system	system	NOUN
cana-3817	158	27	's	's	PART
cana-3817	158	28	classification	classification	NOUN
cana-3817	158	29	accuracy	accuracy	NOUN
cana-3817	158	30	increased	increase	VERB
cana-3817	158	31	by	by	ADP
cana-3817	158	32	15	15	NUM
cana-3817	158	33	%	%	NOUN
cana-3817	158	34	to	to	PART
cana-3817	158	35	20	20	NUM
cana-3817	158	36	%	%	NOUN
cana-3817	158	37	.	.	PUNCT
cana-3817	159	1	•	•	NOUN
cana-3817	159	2	recurrent	recurrent	ADJ
cana-3817	159	3	neural	neural	ADJ
cana-3817	159	4	networks	network	NOUN
cana-3817	159	5	(	(	PUNCT
cana-3817	159	6	rnns	rnns	PROPN
cana-3817	159	7	)	)	PUNCT
cana-3817	159	8	for	for	ADP
cana-3817	159	9	dynamic	dynamic	ADJ
cana-3817	159	10	risk	risk	NOUN
cana-3817	159	11	scoring	scoring	NOUN
cana-3817	159	12	:	:	PUNCT
cana-3817	159	13	time	time	NOUN
cana-3817	159	14	-	-	PUNCT
cana-3817	159	15	series	series	NOUN
cana-3817	159	16	data	datum	NOUN
cana-3817	159	17	,	,	PUNCT
cana-3817	159	18	such	such	ADJ
cana-3817	159	19	login	login	NOUN
cana-3817	159	20	attempts	attempt	NOUN
cana-3817	159	21	or	or	CCONJ
cana-3817	159	22	access	access	NOUN
cana-3817	159	23	logs	log	NOUN
cana-3817	159	24	,	,	PUNCT
cana-3817	159	25	can	can	AUX
cana-3817	159	26	be	be	AUX
cana-3817	159	27	handled	handle	VERB
cana-3817	159	28	by	by	ADP
cana-3817	159	29	rnns	rnn	NOUN
cana-3817	159	30	,	,	PUNCT
cana-3817	159	31	which	which	PRON
cana-3817	159	32	can	can	AUX
cana-3817	159	33	then	then	ADV
cana-3817	159	34	be	be	AUX
cana-3817	159	35	trained	train	VERB
cana-3817	159	36	to	to	PART
cana-3817	159	37	dynamically	dynamically	ADV
cana-3817	159	38	update	update	VERB
cana-3817	159	39	risk	risk	NOUN
cana-3817	159	40	scores	score	NOUN
cana-3817	159	41	in	in	ADP
cana-3817	159	42	response	response	NOUN
cana-3817	159	43	to	to	ADP
cana-3817	159	44	current	current	ADJ
cana-3817	159	45	user	user	NOUN
cana-3817	159	46	activity	activity	NOUN
cana-3817	159	47	.	.	PUNCT
cana-3817	160	1	results	result	NOUN
cana-3817	160	2	:	:	PUNCT
cana-3817	161	1	an	an	DET
cana-3817	161	2	rnn	rnn	NOUN
cana-3817	161	3	-	-	PUNCT
cana-3817	161	4	based	base	VERB
cana-3817	161	5	method	method	NOUN
cana-3817	161	6	demonstrated	demonstrate	VERB
cana-3817	161	7	the	the	DET
cana-3817	161	8	capacity	capacity	NOUN
cana-3817	161	9	to	to	PART
cana-3817	161	10	monitor	monitor	VERB
cana-3817	161	11	user	user	NOUN
cana-3817	161	12	activity	activity	NOUN
cana-3817	161	13	over	over	ADP
cana-3817	161	14	time	time	NOUN
cana-3817	161	15	and	and	CCONJ
cana-3817	161	16	forecast	forecast	VERB
cana-3817	161	17	possible	possible	ADJ
cana-3817	161	18	security	security	NOUN
cana-3817	161	19	threats	threat	NOUN
cana-3817	161	20	,	,	PUNCT
cana-3817	161	21	providing	provide	VERB
cana-3817	161	22	a	a	DET
cana-3817	161	23	25	25	NUM
cana-3817	161	24	%	%	NOUN
cana-3817	161	25	increase	increase	NOUN
cana-3817	161	26	in	in	ADP
cana-3817	161	27	predictive	predictive	ADJ
cana-3817	161	28	accuracy	accuracy	NOUN
cana-3817	161	29	for	for	ADP
cana-3817	161	30	users	user	NOUN
cana-3817	161	31	who	who	PRON
cana-3817	161	32	pose	pose	VERB
cana-3817	161	33	a	a	DET
cana-3817	161	34	high	high	ADJ
cana-3817	161	35	risk	risk	NOUN
cana-3817	161	36	.	.	PUNCT
cana-3817	162	1	communications	communication	NOUN
cana-3817	162	2	on	on	ADP
cana-3817	162	3	applied	apply	VERB
cana-3817	162	4	nonlinear	nonlinear	ADJ
cana-3817	162	5	analysis	analysis	NOUN
cana-3817	162	6	issn	issn	NOUN
cana-3817	162	7	:	:	PUNCT
cana-3817	162	8	1074	1074	NUM
cana-3817	162	9	-	-	PUNCT
cana-3817	162	10	133x	133x	NUM
cana-3817	162	11	vol	vol	NOUN
cana-3817	162	12	32	32	NUM
cana-3817	162	13	no	no	NOUN
cana-3817	162	14	.	.	PUNCT
cana-3817	163	1	8s	8s	PROPN
cana-3817	163	2	(	(	PUNCT
cana-3817	163	3	2025	2025	NUM
cana-3817	163	4	)	)	PUNCT
cana-3817	163	5	806	806	NUM
cana-3817	163	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	163	7	adaptive	adaptive	ADJ
cana-3817	163	8	authentication	authentication	NOUN
cana-3817	163	9	with	with	ADP
cana-3817	163	10	deep	deep	ADJ
cana-3817	163	11	learning	learning	NOUN
cana-3817	163	12	in	in	ADP
cana-3817	163	13	cloud	cloud	NOUN
cana-3817	163	14	systems	system	NOUN
cana-3817	163	15	,	,	PUNCT
cana-3817	163	16	adaptive	adaptive	ADJ
cana-3817	163	17	authentication	authentication	NOUN
cana-3817	163	18	seeks	seek	VERB
cana-3817	163	19	to	to	PART
cana-3817	163	20	adjust	adjust	VERB
cana-3817	163	21	authentication	authentication	NOUN
cana-3817	163	22	specifications	specification	NOUN
cana-3817	163	23	(	(	PUNCT
cana-3817	163	24	such	such	ADJ
cana-3817	163	25	multifactor	multifactor	NOUN
cana-3817	163	26	authentication	authentication	NOUN
cana-3817	163	27	)	)	PUNCT
cana-3817	163	28	according	accord	VERB
cana-3817	163	29	to	to	ADP
cana-3817	163	30	the	the	DET
cana-3817	163	31	perceived	perceive	VERB
cana-3817	163	32	risk	risk	NOUN
cana-3817	163	33	of	of	ADP
cana-3817	163	34	a	a	DET
cana-3817	163	35	user	user	NOUN
cana-3817	163	36	's	's	PART
cana-3817	163	37	actions	action	NOUN
cana-3817	163	38	.	.	PUNCT
cana-3817	164	1	adaptively	adaptively	ADV
cana-3817	164	2	strengthening	strengthen	VERB
cana-3817	164	3	or	or	CCONJ
cana-3817	164	4	weakening	weaken	VERB
cana-3817	164	5	authentication	authentication	NOUN
cana-3817	164	6	measures	measure	NOUN
cana-3817	164	7	in	in	ADP
cana-3817	164	8	response	response	NOUN
cana-3817	164	9	to	to	ADP
cana-3817	164	10	shifting	shift	VERB
cana-3817	164	11	patterns	pattern	NOUN
cana-3817	164	12	of	of	ADP
cana-3817	164	13	behavior	behavior	NOUN
cana-3817	164	14	is	be	AUX
cana-3817	164	15	made	make	VERB
cana-3817	164	16	possible	possible	ADJ
cana-3817	164	17	by	by	ADP
cana-3817	164	18	deep	deep	ADJ
cana-3817	164	19	learning	learning	NOUN
cana-3817	164	20	.	.	PUNCT
cana-3817	165	1	deep	deep	ADJ
cana-3817	165	2	learning	learning	NOUN
cana-3817	165	3	techniques	technique	NOUN
cana-3817	165	4	applied	apply	VERB
cana-3817	165	5	:	:	PUNCT
cana-3817	165	6	•	•	NUM
cana-3817	165	7	context	context	NOUN
cana-3817	165	8	-	-	PUNCT
cana-3817	165	9	aware	aware	ADJ
cana-3817	165	10	authentication	authentication	NOUN
cana-3817	165	11	with	with	ADP
cana-3817	165	12	cnns	cnns	PROPN
cana-3817	165	13	:	:	PUNCT
cana-3817	165	14	contextual	contextual	ADJ
cana-3817	165	15	data	datum	NOUN
cana-3817	165	16	,	,	PUNCT
cana-3817	165	17	including	include	VERB
cana-3817	165	18	user	user	NOUN
cana-3817	165	19	location	location	NOUN
cana-3817	165	20	,	,	PUNCT
cana-3817	165	21	device	device	NOUN
cana-3817	165	22	kind	kind	NOUN
cana-3817	165	23	,	,	PUNCT
cana-3817	165	24	and	and	CCONJ
cana-3817	165	25	access	access	NOUN
cana-3817	165	26	time	time	NOUN
cana-3817	165	27	,	,	PUNCT
cana-3817	165	28	has	have	AUX
cana-3817	165	29	been	be	AUX
cana-3817	165	30	analyzed	analyze	VERB
cana-3817	165	31	using	use	VERB
cana-3817	165	32	convolutional	convolutional	ADJ
cana-3817	165	33	neural	neural	ADJ
cana-3817	165	34	networks	network	NOUN
cana-3817	165	35	(	(	PUNCT
cana-3817	165	36	cnns	cnns	PROPN
cana-3817	165	37	)	)	PUNCT
cana-3817	165	38	.	.	PUNCT
cana-3817	166	1	cnns	cnns	PROPN
cana-3817	166	2	are	be	AUX
cana-3817	166	3	able	able	ADJ
cana-3817	166	4	to	to	PART
cana-3817	166	5	identify	identify	VERB
cana-3817	166	6	contextual	contextual	ADJ
cana-3817	166	7	patterns	pattern	NOUN
cana-3817	166	8	and	and	CCONJ
cana-3817	166	9	decide	decide	VERB
cana-3817	166	10	whether	whether	SCONJ
cana-3817	166	11	to	to	PART
cana-3817	166	12	initiate	initiate	VERB
cana-3817	166	13	further	further	ADJ
cana-3817	166	14	authentication	authentication	NOUN
cana-3817	166	15	procedures	procedure	NOUN
cana-3817	166	16	.	.	PUNCT
cana-3817	167	1	results	result	NOUN
cana-3817	167	2	:	:	PUNCT
cana-3817	167	3	by	by	ADP
cana-3817	167	4	taking	take	VERB
cana-3817	167	5	into	into	ADP
cana-3817	167	6	account	account	NOUN
cana-3817	167	7	contextual	contextual	ADJ
cana-3817	167	8	aspects	aspect	NOUN
cana-3817	167	9	that	that	SCONJ
cana-3817	167	10	prior	prior	ADJ
cana-3817	167	11	systems	system	NOUN
cana-3817	167	12	ignored	ignore	VERB
cana-3817	167	13	,	,	PUNCT
cana-3817	167	14	a	a	DET
cana-3817	167	15	cnn	cnn	PROPN
cana-3817	167	16	-	-	PUNCT
cana-3817	167	17	based	base	VERB
cana-3817	167	18	adaptive	adaptive	ADJ
cana-3817	167	19	authentication	authentication	NOUN
cana-3817	167	20	system	system	NOUN
cana-3817	167	21	was	be	AUX
cana-3817	167	22	demonstrated	demonstrate	VERB
cana-3817	167	23	to	to	PART
cana-3817	167	24	minimize	minimize	VERB
cana-3817	167	25	the	the	DET
cana-3817	167	26	number	number	NOUN
cana-3817	167	27	of	of	ADP
cana-3817	167	28	false	false	ADJ
cana-3817	167	29	authentication	authentication	NOUN
cana-3817	167	30	failures	failure	NOUN
cana-3817	167	31	by	by	ADP
cana-3817	167	32	30	30	NUM
cana-3817	167	33	%	%	NOUN
cana-3817	167	34	.	.	PUNCT
cana-3817	168	1	•	•	NUM
cana-3817	168	2	behavioral	behavioral	ADJ
cana-3817	168	3	biometrics	biometric	NOUN
cana-3817	168	4	with	with	ADP
cana-3817	168	5	lstm	lstm	NOUN
cana-3817	168	6	networks	network	NOUN
cana-3817	168	7	:	:	PUNCT
cana-3817	168	8	typing	type	VERB
cana-3817	168	9	habits	habit	NOUN
cana-3817	168	10	,	,	PUNCT
cana-3817	168	11	mouse	mouse	NOUN
cana-3817	168	12	motions	motion	NOUN
cana-3817	168	13	,	,	PUNCT
cana-3817	168	14	and	and	CCONJ
cana-3817	168	15	touch	touch	NOUN
cana-3817	168	16	gestures	gesture	NOUN
cana-3817	168	17	are	be	AUX
cana-3817	168	18	examples	example	NOUN
cana-3817	168	19	of	of	ADP
cana-3817	168	20	behavioral	behavioral	ADJ
cana-3817	168	21	biometrics	biometric	NOUN
cana-3817	168	22	that	that	PRON
cana-3817	168	23	can	can	AUX
cana-3817	168	24	be	be	AUX
cana-3817	168	25	modeled	model	VERB
cana-3817	168	26	using	use	VERB
cana-3817	168	27	lstm	lstm	ADJ
cana-3817	168	28	networks	network	NOUN
cana-3817	168	29	.	.	PUNCT
cana-3817	169	1	when	when	SCONJ
cana-3817	169	2	abnormal	abnormal	ADJ
cana-3817	169	3	activity	activity	NOUN
cana-3817	169	4	is	be	AUX
cana-3817	169	5	identified	identify	VERB
cana-3817	169	6	,	,	PUNCT
cana-3817	169	7	adaptive	adaptive	ADJ
cana-3817	169	8	authentication	authentication	NOUN
cana-3817	169	9	systems	system	NOUN
cana-3817	169	10	may	may	AUX
cana-3817	169	11	initiate	initiate	VERB
cana-3817	169	12	extra	extra	ADJ
cana-3817	169	13	security	security	NOUN
cana-3817	169	14	checks	check	NOUN
cana-3817	169	15	based	base	VERB
cana-3817	169	16	on	on	ADP
cana-3817	169	17	this	this	DET
cana-3817	169	18	behavior	behavior	NOUN
cana-3817	169	19	.	.	PUNCT
cana-3817	170	1	results	result	NOUN
cana-3817	170	2	:	:	PUNCT
cana-3817	170	3	by	by	ADP
cana-3817	170	4	utilizing	utilize	VERB
cana-3817	170	5	lstm	lstm	ADJ
cana-3817	170	6	networks	network	NOUN
cana-3817	170	7	for	for	ADP
cana-3817	170	8	behavioral	behavioral	ADJ
cana-3817	170	9	biometrics	biometric	NOUN
cana-3817	170	10	in	in	ADP
cana-3817	170	11	adaptive	adaptive	ADJ
cana-3817	170	12	authentication	authentication	NOUN
cana-3817	170	13	,	,	PUNCT
cana-3817	170	14	a	a	DET
cana-3817	170	15	system	system	NOUN
cana-3817	170	16	was	be	AUX
cana-3817	170	17	able	able	ADJ
cana-3817	170	18	to	to	PART
cana-3817	170	19	differentiate	differentiate	VERB
cana-3817	170	20	between	between	ADP
cana-3817	170	21	authorized	authorize	VERB
cana-3817	170	22	users	user	NOUN
cana-3817	170	23	and	and	CCONJ
cana-3817	170	24	impersonators	impersonator	NOUN
cana-3817	170	25	with	with	ADP
cana-3817	170	26	a	a	DET
cana-3817	170	27	98	98	NUM
cana-3817	170	28	%	%	NOUN
cana-3817	170	29	accuracy	accuracy	NOUN
cana-3817	170	30	rate	rate	NOUN
cana-3817	170	31	,	,	PUNCT
cana-3817	170	32	greatly	greatly	ADV
cana-3817	170	33	enhancing	enhance	VERB
cana-3817	170	34	security	security	NOUN
cana-3817	170	35	while	while	SCONJ
cana-3817	170	36	reducing	reduce	VERB
cana-3817	170	37	user	user	NOUN
cana-3817	170	38	friction	friction	NOUN
cana-3817	170	39	.	.	PUNCT
cana-3817	171	1	•	•	NUM
cana-3817	171	2	reinforcement	reinforcement	NOUN
cana-3817	171	3	learning	learning	NOUN
cana-3817	171	4	(	(	PUNCT
cana-3817	171	5	rl	rl	NOUN
cana-3817	171	6	)	)	PUNCT
cana-3817	171	7	for	for	ADP
cana-3817	171	8	adaptive	adaptive	ADJ
cana-3817	171	9	authentication	authentication	NOUN
cana-3817	171	10	:	:	PUNCT
cana-3817	171	11	based	base	VERB
cana-3817	171	12	on	on	ADP
cana-3817	171	13	behavior	behavior	NOUN
cana-3817	171	14	data	datum	NOUN
cana-3817	171	15	and	and	CCONJ
cana-3817	171	16	real	real	ADJ
cana-3817	171	17	-	-	PUNCT
cana-3817	171	18	time	time	NOUN
cana-3817	171	19	risk	risk	NOUN
cana-3817	171	20	rankings	ranking	NOUN
cana-3817	171	21	,	,	PUNCT
cana-3817	171	22	rl	rl	X
cana-3817	171	23	is	be	AUX
cana-3817	171	24	able	able	ADJ
cana-3817	171	25	to	to	PART
cana-3817	171	26	dynamically	dynamically	ADV
cana-3817	171	27	modify	modify	VERB
cana-3817	171	28	authentication	authentication	NOUN
cana-3817	171	29	processes	process	NOUN
cana-3817	171	30	.	.	PUNCT
cana-3817	172	1	based	base	VERB
cana-3817	172	2	on	on	ADP
cana-3817	172	3	the	the	DET
cana-3817	172	4	risk	risk	NOUN
cana-3817	172	5	score	score	NOUN
cana-3817	172	6	linked	link	VERB
cana-3817	172	7	to	to	ADP
cana-3817	172	8	the	the	DET
cana-3817	172	9	user	user	NOUN
cana-3817	172	10	's	's	PART
cana-3817	172	11	current	current	ADJ
cana-3817	172	12	session	session	NOUN
cana-3817	172	13	,	,	PUNCT
cana-3817	172	14	the	the	DET
cana-3817	172	15	rl	rl	PROPN
cana-3817	172	16	agent	agent	NOUN
cana-3817	172	17	can	can	AUX
cana-3817	172	18	select	select	VERB
cana-3817	172	19	among	among	ADP
cana-3817	172	20	a	a	DET
cana-3817	172	21	variety	variety	NOUN
cana-3817	172	22	of	of	ADP
cana-3817	172	23	authentication	authentication	NOUN
cana-3817	172	24	options	option	NOUN
cana-3817	172	25	(	(	PUNCT
cana-3817	172	26	password	password	NOUN
cana-3817	172	27	,	,	PUNCT
cana-3817	172	28	biometrics	biometric	NOUN
cana-3817	172	29	,	,	PUNCT
cana-3817	172	30	multi	multi	ADJ
cana-3817	172	31	-	-	ADJ
cana-3817	172	32	factor	factor	NOUN
cana-3817	172	33	authentication	authentication	NOUN
cana-3817	172	34	,	,	PUNCT
cana-3817	172	35	etc	etc	X
cana-3817	172	36	.	.	X
cana-3817	172	37	)	)	PUNCT
cana-3817	172	38	.	.	PUNCT
cana-3817	173	1	results	result	NOUN
cana-3817	173	2	:	:	PUNCT
cana-3817	173	3	adaptive	adaptive	ADJ
cana-3817	173	4	authentication	authentication	NOUN
cana-3817	173	5	using	use	VERB
cana-3817	173	6	an	an	DET
cana-3817	173	7	reinforcement	reinforcement	NOUN
cana-3817	173	8	learning	learning	NOUN
cana-3817	173	9	model	model	NOUN
cana-3817	173	10	improved	improve	VERB
cana-3817	173	11	system	system	NOUN
cana-3817	173	12	responsiveness	responsiveness	NOUN
cana-3817	173	13	overall	overall	ADV
cana-3817	173	14	and	and	CCONJ
cana-3817	173	15	reduced	reduce	VERB
cana-3817	173	16	the	the	DET
cana-3817	173	17	number	number	NOUN
cana-3817	173	18	of	of	ADP
cana-3817	173	19	needless	needless	ADJ
cana-3817	173	20	authentication	authentication	NOUN
cana-3817	173	21	prompts	prompt	NOUN
cana-3817	173	22	by	by	ADP
cana-3817	173	23	40	40	NUM
cana-3817	173	24	%	%	NOUN
cana-3817	173	25	,	,	PUNCT
cana-3817	173	26	improving	improve	VERB
cana-3817	173	27	user	user	NOUN
cana-3817	173	28	experience	experience	NOUN
cana-3817	173	29	without	without	ADP
cana-3817	173	30	sacrificing	sacrifice	VERB
cana-3817	173	31	security	security	NOUN
cana-3817	173	32	.	.	PUNCT
cana-3817	174	1	integrated	integrate	VERB
cana-3817	174	2	frameworks	framework	NOUN
cana-3817	174	3	combining	combine	VERB
cana-3817	174	4	ueba	ueba	NOUN
cana-3817	174	5	,	,	PUNCT
cana-3817	174	6	risk	risk	NOUN
cana-3817	174	7	scoring	scoring	NOUN
cana-3817	174	8	,	,	PUNCT
cana-3817	174	9	and	and	CCONJ
cana-3817	174	10	adaptive	adaptive	ADJ
cana-3817	174	11	authentication	authentication	NOUN
cana-3817	174	12	recent	recent	ADJ
cana-3817	174	13	developments	development	NOUN
cana-3817	174	14	in	in	ADP
cana-3817	174	15	cloud	cloud	ADJ
cana-3817	174	16	security	security	NOUN
cana-3817	174	17	have	have	AUX
cana-3817	174	18	concentrated	concentrate	VERB
cana-3817	174	19	on	on	ADP
cana-3817	174	20	combining	combine	VERB
cana-3817	174	21	risk	risk	NOUN
cana-3817	174	22	scoring	scoring	NOUN
cana-3817	174	23	,	,	PUNCT
cana-3817	174	24	adaptive	adaptive	ADJ
cana-3817	174	25	authentication	authentication	NOUN
cana-3817	174	26	,	,	PUNCT
cana-3817	174	27	and	and	CCONJ
cana-3817	174	28	ueba	ueba	PROPN
cana-3817	174	29	into	into	ADP
cana-3817	174	30	a	a	DET
cana-3817	174	31	single	single	ADJ
cana-3817	174	32	,	,	PUNCT
cana-3817	174	33	deep	deep	ADJ
cana-3817	174	34	learning	learning	NOUN
cana-3817	174	35	-	-	PUNCT
cana-3817	174	36	powered	power	VERB
cana-3817	174	37	framework	framework	NOUN
cana-3817	174	38	.	.	PUNCT
cana-3817	175	1	in	in	ADP
cana-3817	175	2	order	order	NOUN
cana-3817	175	3	to	to	PART
cana-3817	175	4	improve	improve	VERB
cana-3817	175	5	threat	threat	NOUN
cana-3817	175	6	detection	detection	NOUN
cana-3817	175	7	and	and	CCONJ
cana-3817	175	8	response	response	NOUN
cana-3817	175	9	capabilities	capability	NOUN
cana-3817	175	10	and	and	CCONJ
cana-3817	175	11	overcome	overcome	VERB
cana-3817	175	12	the	the	DET
cana-3817	175	13	limitations	limitation	NOUN
cana-3817	175	14	mentioned	mention	VERB
cana-3817	175	15	above	above	ADV
cana-3817	175	16	,	,	PUNCT
cana-3817	175	17	the	the	DET
cana-3817	175	18	research	research	NOUN
cana-3817	175	19	work	work	NOUN
cana-3817	175	20	in	in	ADP
cana-3817	175	21	[	[	X
cana-3817	175	22	18	18	NUM
cana-3817	175	23	]	]	PUNCT
cana-3817	175	24	suggests	suggest	VERB
cana-3817	175	25	a	a	DET
cana-3817	175	26	unique	unique	ADJ
cana-3817	175	27	paradigm	paradigm	NOUN
cana-3817	175	28	for	for	ADP
cana-3817	175	29	ueba	ueba	NOUN
cana-3817	175	30	.	.	PUNCT
cana-3817	176	1	to	to	PART
cana-3817	176	2	create	create	VERB
cana-3817	176	3	baseline	baseline	NOUN
cana-3817	176	4	behaviors	behavior	NOUN
cana-3817	176	5	,	,	PUNCT
cana-3817	176	6	identify	identify	VERB
cana-3817	176	7	anomalies	anomaly	NOUN
cana-3817	176	8	,	,	PUNCT
cana-3817	176	9	and	and	CCONJ
cana-3817	176	10	rank	rank	NOUN
cana-3817	176	11	reaction	reaction	NOUN
cana-3817	176	12	actions	action	NOUN
cana-3817	176	13	,	,	PUNCT
cana-3817	176	14	the	the	DET
cana-3817	176	15	framework	framework	NOUN
cana-3817	176	16	combines	combine	VERB
cana-3817	176	17	threat	threat	NOUN
cana-3817	176	18	intelligence	intelligence	NOUN
cana-3817	176	19	,	,	PUNCT
cana-3817	176	20	behavioral	behavioral	ADJ
cana-3817	176	21	analytics	analytic	NOUN
cana-3817	176	22	methods	method	NOUN
cana-3817	176	23	,	,	PUNCT
cana-3817	176	24	and	and	CCONJ
cana-3817	176	25	sophisticated	sophisticated	ADJ
cana-3817	176	26	machine	machine	NOUN
cana-3817	176	27	learning	learning	NOUN
cana-3817	176	28	algorithms	algorithm	NOUN
cana-3817	176	29	.	.	PUNCT
cana-3817	177	1	the	the	DET
cana-3817	177	2	framework	framework	NOUN
cana-3817	177	3	's	's	PART
cana-3817	177	4	essential	essential	ADJ
cana-3817	177	5	elements	element	NOUN
cana-3817	177	6	include	include	VERB
cana-3817	177	7	risk	risk	NOUN
cana-3817	177	8	scoring	scoring	NOUN
cana-3817	177	9	,	,	PUNCT
cana-3817	177	10	behavioral	behavioral	ADJ
cana-3817	177	11	analytics	analytic	NOUN
cana-3817	177	12	,	,	PUNCT
cana-3817	177	13	incident	incident	NOUN
cana-3817	177	14	detection	detection	NOUN
cana-3817	177	15	and	and	CCONJ
cana-3817	177	16	response	response	NOUN
cana-3817	177	17	procedures	procedure	NOUN
cana-3817	177	18	,	,	PUNCT
cana-3817	177	19	and	and	CCONJ
cana-3817	177	20	user	user	NOUN
cana-3817	177	21	and	and	CCONJ
cana-3817	177	22	entity	entity	NOUN
cana-3817	177	23	profiling	profiling	NOUN
cana-3817	177	24	.	.	PUNCT
cana-3817	178	1	in	in	ADP
cana-3817	178	2	user	user	NOUN
cana-3817	178	3	and	and	CCONJ
cana-3817	178	4	entity	entity	NOUN
cana-3817	178	5	profiling	profiling	NOUN
cana-3817	178	6	,	,	PUNCT
cana-3817	178	7	thorough	thorough	ADJ
cana-3817	178	8	profiles	profile	NOUN
cana-3817	178	9	are	be	AUX
cana-3817	178	10	made	make	VERB
cana-3817	178	11	for	for	ADP
cana-3817	178	12	individuals	individual	NOUN
cana-3817	178	13	and	and	CCONJ
cana-3817	178	14	network	network	NOUN
cana-3817	178	15	entities	entity	NOUN
cana-3817	178	16	(	(	PUNCT
cana-3817	178	17	such	such	ADJ
cana-3817	178	18	as	as	ADP
cana-3817	178	19	devices	device	NOUN
cana-3817	178	20	and	and	CCONJ
cana-3817	178	21	apps	app	NOUN
cana-3817	178	22	)	)	PUNCT
cana-3817	178	23	,	,	PUNCT
cana-3817	178	24	noting	note	VERB
cana-3817	178	25	pertinent	pertinent	ADJ
cana-3817	178	26	characteristics	characteristic	NOUN
cana-3817	178	27	and	and	CCONJ
cana-3817	178	28	past	past	ADJ
cana-3817	178	29	actions	action	NOUN
cana-3817	178	30	.	.	PUNCT
cana-3817	179	1	these	these	DET
cana-3817	179	2	profiles	profile	NOUN
cana-3817	179	3	are	be	AUX
cana-3817	179	4	used	use	VERB
cana-3817	179	5	by	by	ADP
cana-3817	179	6	behavioral	behavioral	ADJ
cana-3817	179	7	analytics	analytic	NOUN
cana-3817	179	8	to	to	PART
cana-3817	179	9	spot	spot	VERB
cana-3817	179	10	departures	departure	NOUN
cana-3817	179	11	from	from	ADP
cana-3817	179	12	typical	typical	ADJ
cana-3817	179	13	patterns	pattern	NOUN
cana-3817	179	14	of	of	ADP
cana-3817	179	15	behavior	behavior	NOUN
cana-3817	179	16	,	,	PUNCT
cana-3817	179	17	which	which	PRON
cana-3817	179	18	communications	communication	NOUN
cana-3817	179	19	on	on	ADP
cana-3817	179	20	applied	apply	VERB
cana-3817	179	21	nonlinear	nonlinear	ADJ
cana-3817	179	22	analysis	analysis	NOUN
cana-3817	179	23	issn	issn	NOUN
cana-3817	179	24	:	:	PUNCT
cana-3817	179	25	1074	1074	NUM
cana-3817	179	26	-	-	PUNCT
cana-3817	179	27	133x	133x	NUM
cana-3817	179	28	vol	vol	NOUN
cana-3817	179	29	32	32	NUM
cana-3817	179	30	no	no	NOUN
cana-3817	179	31	.	.	PUNCT
cana-3817	180	1	8s	8s	PROPN
cana-3817	180	2	(	(	PUNCT
cana-3817	180	3	2025	2025	NUM
cana-3817	180	4	)	)	PUNCT
cana-3817	180	5	807	807	NUM
cana-3817	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	180	7	may	may	AUX
cana-3817	180	8	indicate	indicate	VERB
cana-3817	180	9	security	security	NOUN
cana-3817	180	10	issues	issue	NOUN
cana-3817	180	11	.	.	PUNCT
cana-3817	181	1	prioritizing	prioritize	VERB
cana-3817	181	2	response	response	NOUN
cana-3817	181	3	efforts	effort	NOUN
cana-3817	181	4	is	be	AUX
cana-3817	181	5	made	make	VERB
cana-3817	181	6	possible	possible	ADJ
cana-3817	181	7	by	by	ADP
cana-3817	181	8	risk	risk	NOUN
cana-3817	181	9	scoring	scoring	NOUN
cana-3817	181	10	,	,	PUNCT
cana-3817	181	11	which	which	PRON
cana-3817	181	12	rates	rate	VERB
cana-3817	181	13	the	the	DET
cana-3817	181	14	severity	severity	NOUN
cana-3817	181	15	of	of	ADP
cana-3817	181	16	anomalies	anomaly	NOUN
cana-3817	181	17	found	find	VERB
cana-3817	181	18	according	accord	VERB
cana-3817	181	19	to	to	ADP
cana-3817	181	20	their	their	PRON
cana-3817	181	21	likelihood	likelihood	NOUN
cana-3817	181	22	and	and	CCONJ
cana-3817	181	23	possible	possible	ADJ
cana-3817	181	24	impact	impact	NOUN
cana-3817	181	25	.	.	PUNCT
cana-3817	182	1	the	the	DET
cana-3817	182	2	writers	writer	NOUN
cana-3817	182	3	in	in	ADP
cana-3817	182	4	[	[	X
cana-3817	182	5	19	19	NUM
cana-3817	182	6	]	]	PUNCT
cana-3817	182	7	comprehended	comprehend	VERB
cana-3817	182	8	the	the	DET
cana-3817	182	9	various	various	ADJ
cana-3817	182	10	methods	method	NOUN
cana-3817	182	11	utilized	utilize	VERB
cana-3817	182	12	in	in	ADP
cana-3817	182	13	user	user	NOUN
cana-3817	182	14	and	and	CCONJ
cana-3817	182	15	entity	entity	NOUN
cana-3817	182	16	behavior	behavior	NOUN
cana-3817	182	17	analytics	analytic	NOUN
cana-3817	182	18	(	(	PUNCT
cana-3817	182	19	ueba	ueba	PROPN
cana-3817	182	20	)	)	PUNCT
cana-3817	182	21	,	,	PUNCT
cana-3817	182	22	including	include	VERB
cana-3817	182	23	as	as	ADP
cana-3817	182	24	role	role	NOUN
cana-3817	182	25	-	-	PUNCT
cana-3817	182	26	based	base	VERB
cana-3817	182	27	and	and	CCONJ
cana-3817	182	28	user	user	NOUN
cana-3817	182	29	-	-	PUNCT
cana-3817	182	30	based	base	VERB
cana-3817	182	31	detection	detection	NOUN
cana-3817	182	32	,	,	PUNCT
cana-3817	182	33	mapping	mapping	NOUN
cana-3817	182	34	of	of	ADP
cana-3817	182	35	user	user	NOUN
cana-3817	182	36	and	and	CCONJ
cana-3817	182	37	entity	entity	NOUN
cana-3817	182	38	activity	activity	NOUN
cana-3817	182	39	,	,	PUNCT
cana-3817	182	40	user	user	NOUN
cana-3817	182	41	profile	profile	NOUN
cana-3817	182	42	methods	method	NOUN
cana-3817	182	43	,	,	PUNCT
cana-3817	182	44	and	and	CCONJ
cana-3817	182	45	individual	individual	ADJ
cana-3817	182	46	risk	risk	NOUN
cana-3817	182	47	score	score	NOUN
cana-3817	182	48	computations	computation	NOUN
cana-3817	182	49	.	.	PUNCT
cana-3817	183	1	they	they	PRON
cana-3817	183	2	also	also	ADV
cana-3817	183	3	emphasized	emphasize	VERB
cana-3817	183	4	the	the	DET
cana-3817	183	5	open	open	ADJ
cana-3817	183	6	-	-	PUNCT
cana-3817	183	7	source	source	NOUN
cana-3817	183	8	community	community	NOUN
cana-3817	183	9	's	's	PART
cana-3817	183	10	continued	continue	VERB
cana-3817	183	11	lack	lack	NOUN
cana-3817	183	12	of	of	ADP
cana-3817	183	13	progress	progress	NOUN
cana-3817	183	14	in	in	ADP
cana-3817	183	15	providing	provide	VERB
cana-3817	183	16	a	a	DET
cana-3817	183	17	comprehensive	comprehensive	ADJ
cana-3817	183	18	ueba	ueba	NOUN
cana-3817	183	19	solution	solution	NOUN
cana-3817	183	20	.	.	PUNCT
cana-3817	184	1	the	the	DET
cana-3817	184	2	authors	author	NOUN
cana-3817	184	3	of	of	ADP
cana-3817	184	4	the	the	DET
cana-3817	184	5	research	research	NOUN
cana-3817	184	6	[	[	X
cana-3817	184	7	20	20	NUM
cana-3817	184	8	]	]	PUNCT
cana-3817	184	9	described	describe	VERB
cana-3817	184	10	how	how	SCONJ
cana-3817	184	11	they	they	PRON
cana-3817	184	12	used	use	VERB
cana-3817	184	13	a	a	DET
cana-3817	184	14	machine	machine	NOUN
cana-3817	184	15	learning	learn	VERB
cana-3817	184	16	algorithm	algorithm	NOUN
cana-3817	184	17	based	base	VERB
cana-3817	184	18	on	on	ADP
cana-3817	184	19	specific	specific	ADJ
cana-3817	184	20	parameters	parameter	NOUN
cana-3817	184	21	to	to	PART
cana-3817	184	22	anticipate	anticipate	VERB
cana-3817	184	23	fraudulent	fraudulent	ADJ
cana-3817	184	24	users	user	NOUN
cana-3817	184	25	by	by	ADP
cana-3817	184	26	applying	apply	VERB
cana-3817	184	27	big	big	ADJ
cana-3817	184	28	data	datum	NOUN
cana-3817	184	29	analytics	analytic	NOUN
cana-3817	184	30	to	to	ADP
cana-3817	184	31	application	application	NOUN
cana-3817	184	32	-	-	PUNCT
cana-3817	184	33	layer	layer	NOUN
cana-3817	184	34	logs	log	NOUN
cana-3817	184	35	.	.	PUNCT
cana-3817	185	1	a	a	DET
cana-3817	185	2	list	list	NOUN
cana-3817	185	3	of	of	ADP
cana-3817	185	4	ip	ip	DET
cana-3817	185	5	addresses	address	NOUN
cana-3817	185	6	or	or	CCONJ
cana-3817	185	7	user	user	NOUN
cana-3817	185	8	identification	identification	NOUN
cana-3817	185	9	tokens	token	NOUN
cana-3817	185	10	(	(	PUNCT
cana-3817	185	11	uit	uit	NOUN
cana-3817	185	12	)	)	PUNCT
cana-3817	185	13	derived	derive	VERB
cana-3817	185	14	from	from	ADP
cana-3817	185	15	real	real	ADJ
cana-3817	185	16	-	-	PUNCT
cana-3817	185	17	time	time	NOUN
cana-3817	185	18	data	datum	NOUN
cana-3817	185	19	that	that	PRON
cana-3817	185	20	would	would	AUX
cana-3817	185	21	be	be	AUX
cana-3817	185	22	engaging	engage	VERB
cana-3817	185	23	in	in	ADP
cana-3817	185	24	malicious	malicious	ADJ
cana-3817	185	25	conduct	conduct	NOUN
cana-3817	185	26	or	or	CCONJ
cana-3817	185	27	are	be	AUX
cana-3817	185	28	suspected	suspect	VERB
cana-3817	185	29	of	of	ADP
cana-3817	185	30	malicious	malicious	ADJ
cana-3817	185	31	activity	activity	NOUN
cana-3817	185	32	based	base	VERB
cana-3817	185	33	on	on	ADP
cana-3817	185	34	their	their	PRON
cana-3817	185	35	browsing	browse	VERB
cana-3817	185	36	behavior	behavior	NOUN
cana-3817	185	37	would	would	AUX
cana-3817	185	38	be	be	AUX
cana-3817	185	39	presented	present	VERB
cana-3817	185	40	by	by	ADP
cana-3817	185	41	machine	machine	NOUN
cana-3817	185	42	learning	learning	NOUN
cana-3817	185	43	.	.	PUNCT
cana-3817	186	1	deep	deep	ADJ
cana-3817	186	2	learning	learning	NOUN
cana-3817	186	3	techniques	technique	NOUN
cana-3817	186	4	applied	apply	VERB
cana-3817	186	5	:	:	PUNCT
cana-3817	186	6	•	•	NUM
cana-3817	186	7	end	end	NOUN
cana-3817	186	8	-	-	PUNCT
cana-3817	186	9	to	to	ADP
cana-3817	186	10	-	-	PUNCT
cana-3817	186	11	end	end	NOUN
cana-3817	186	12	neural	neural	ADJ
cana-3817	186	13	networks	network	NOUN
cana-3817	186	14	:	:	PUNCT
cana-3817	186	15	researchers	researcher	NOUN
cana-3817	186	16	have	have	AUX
cana-3817	186	17	suggested	suggest	VERB
cana-3817	186	18	end	end	NOUN
cana-3817	186	19	-	-	PUNCT
cana-3817	186	20	to	to	ADP
cana-3817	186	21	-	-	PUNCT
cana-3817	186	22	end	end	NOUN
cana-3817	186	23	frameworks	framework	NOUN
cana-3817	186	24	that	that	PRON
cana-3817	186	25	can	can	AUX
cana-3817	186	26	offer	offer	VERB
cana-3817	186	27	a	a	DET
cana-3817	186	28	comprehensive	comprehensive	ADJ
cana-3817	186	29	security	security	NOUN
cana-3817	186	30	solution	solution	NOUN
cana-3817	186	31	by	by	ADP
cana-3817	186	32	combining	combine	VERB
cana-3817	186	33	several	several	ADJ
cana-3817	186	34	deep	deep	ADJ
cana-3817	186	35	learning	learning	NOUN
cana-3817	186	36	approaches	approach	NOUN
cana-3817	186	37	(	(	PUNCT
cana-3817	186	38	e.g.	e.g.	ADV
cana-3817	186	39	,	,	PUNCT
cana-3817	186	40	cnns	cnn	NOUN
cana-3817	186	41	for	for	ADP
cana-3817	186	42	adaptive	adaptive	ADJ
cana-3817	186	43	authentication	authentication	NOUN
cana-3817	186	44	,	,	PUNCT
cana-3817	186	45	mlps	mlp	VERB
cana-3817	186	46	for	for	ADP
cana-3817	186	47	risk	risk	NOUN
cana-3817	186	48	scoring	scoring	NOUN
cana-3817	186	49	,	,	PUNCT
cana-3817	186	50	and	and	CCONJ
cana-3817	186	51	autoencoders	autoencoder	NOUN
cana-3817	186	52	for	for	ADP
cana-3817	186	53	anomaly	anomaly	NOUN
cana-3817	186	54	detection	detection	NOUN
cana-3817	186	55	)	)	PUNCT
cana-3817	186	56	.	.	PUNCT
cana-3817	187	1	results	result	NOUN
cana-3817	187	2	:	:	PUNCT
cana-3817	187	3	by	by	ADP
cana-3817	187	4	integrating	integrate	VERB
cana-3817	187	5	ueba	ueba	NOUN
cana-3817	187	6	,	,	PUNCT
cana-3817	187	7	risk	risk	NOUN
cana-3817	187	8	scoring	scoring	NOUN
cana-3817	187	9	,	,	PUNCT
cana-3817	187	10	and	and	CCONJ
cana-3817	187	11	adaptive	adaptive	ADJ
cana-3817	187	12	authentication	authentication	NOUN
cana-3817	187	13	,	,	PUNCT
cana-3817	187	14	an	an	DET
cana-3817	187	15	integrated	integrate	VERB
cana-3817	187	16	deep	deep	ADJ
cana-3817	187	17	learning	learning	NOUN
cana-3817	187	18	model	model	NOUN
cana-3817	187	19	was	be	AUX
cana-3817	187	20	able	able	ADJ
cana-3817	187	21	to	to	PART
cana-3817	187	22	reduce	reduce	VERB
cana-3817	187	23	authentication	authentication	NOUN
cana-3817	187	24	difficulties	difficulty	NOUN
cana-3817	187	25	for	for	ADP
cana-3817	187	26	authorized	authorize	VERB
cana-3817	187	27	users	user	NOUN
cana-3817	187	28	while	while	SCONJ
cana-3817	187	29	achieving	achieve	VERB
cana-3817	187	30	85–90	85–90	NUM
cana-3817	187	31	%	%	NOUN
cana-3817	187	32	accuracy	accuracy	NOUN
cana-3817	187	33	in	in	ADP
cana-3817	187	34	identifying	identify	VERB
cana-3817	187	35	all	all	DET
cana-3817	187	36	facets	facet	NOUN
cana-3817	187	37	of	of	ADP
cana-3817	187	38	security	security	NOUN
cana-3817	187	39	incidents	incident	NOUN
cana-3817	187	40	.	.	PUNCT
cana-3817	188	1	•	•	NUM
cana-3817	188	2	multi	multi	ADJ
cana-3817	188	3	-	-	NOUN
cana-3817	188	4	task	task	ADJ
cana-3817	188	5	learning	learning	NOUN
cana-3817	188	6	:	:	PUNCT
cana-3817	188	7	the	the	DET
cana-3817	188	8	risk	risk	NOUN
cana-3817	188	9	score	score	NOUN
cana-3817	188	10	and	and	CCONJ
cana-3817	188	11	the	the	DET
cana-3817	188	12	proper	proper	ADJ
cana-3817	188	13	authentication	authentication	NOUN
cana-3817	188	14	level	level	NOUN
cana-3817	188	15	can	can	AUX
cana-3817	188	16	be	be	AUX
cana-3817	188	17	predicted	predict	VERB
cana-3817	188	18	simultaneously	simultaneously	ADV
cana-3817	188	19	by	by	ADP
cana-3817	188	20	multi	multi	ADJ
cana-3817	188	21	-	-	ADJ
cana-3817	188	22	task	task	ADJ
cana-3817	188	23	learning	learning	NOUN
cana-3817	188	24	models	model	NOUN
cana-3817	188	25	,	,	PUNCT
cana-3817	188	26	allowing	allow	VERB
cana-3817	188	27	security	security	NOUN
cana-3817	188	28	measures	measure	NOUN
cana-3817	188	29	to	to	PART
cana-3817	188	30	be	be	AUX
cana-3817	188	31	modified	modify	VERB
cana-3817	188	32	without	without	ADP
cana-3817	188	33	requiring	require	VERB
cana-3817	188	34	further	further	ADJ
cana-3817	188	35	calculations	calculation	NOUN
cana-3817	188	36	.	.	PUNCT
cana-3817	189	1	results	result	NOUN
cana-3817	189	2	:	:	PUNCT
cana-3817	189	3	by	by	ADP
cana-3817	189	4	combining	combine	VERB
cana-3817	189	5	ueba	ueba	NOUN
cana-3817	189	6	,	,	PUNCT
cana-3817	189	7	risk	risk	NOUN
cana-3817	189	8	scoring	scoring	NOUN
cana-3817	189	9	,	,	PUNCT
cana-3817	189	10	and	and	CCONJ
cana-3817	189	11	adaptive	adaptive	ADJ
cana-3817	189	12	authentication	authentication	NOUN
cana-3817	189	13	,	,	PUNCT
cana-3817	189	14	a	a	DET
cana-3817	189	15	multi	multi	ADJ
cana-3817	189	16	-	-	ADJ
cana-3817	189	17	task	task	ADJ
cana-3817	189	18	learning	learn	VERB
cana-3817	189	19	strategy	strategy	NOUN
cana-3817	189	20	was	be	AUX
cana-3817	189	21	able	able	ADJ
cana-3817	189	22	to	to	PART
cana-3817	189	23	lower	lower	VERB
cana-3817	189	24	computing	compute	VERB
cana-3817	189	25	overhead	overhead	NOUN
cana-3817	189	26	and	and	CCONJ
cana-3817	189	27	boost	boost	VERB
cana-3817	189	28	detection	detection	NOUN
cana-3817	189	29	effectiveness	effectiveness	NOUN
cana-3817	189	30	,	,	PUNCT
cana-3817	189	31	resulting	result	VERB
cana-3817	189	32	in	in	ADP
cana-3817	189	33	increased	increase	VERB
cana-3817	189	34	accuracy	accuracy	NOUN
cana-3817	189	35	and	and	CCONJ
cana-3817	189	36	quicker	quick	ADJ
cana-3817	189	37	reaction	reaction	NOUN
cana-3817	189	38	times	time	NOUN
cana-3817	189	39	.	.	PUNCT
cana-3817	190	1	4	4	X
cana-3817	190	2	.	.	NOUN
cana-3817	190	3	results	result	NOUN
cana-3817	190	4	and	and	CCONJ
cana-3817	190	5	discussions	discussion	NOUN
cana-3817	190	6	cloud	cloud	PROPN
cana-3817	190	7	computing	computing	NOUN
cana-3817	190	8	's	's	PART
cana-3817	190	9	ueba	ueba	NOUN
cana-3817	190	10	,	,	PUNCT
cana-3817	190	11	risk	risk	NOUN
cana-3817	190	12	scoring	scoring	NOUN
cana-3817	190	13	,	,	PUNCT
cana-3817	190	14	and	and	CCONJ
cana-3817	190	15	adaptive	adaptive	ADJ
cana-3817	190	16	authentication	authentication	NOUN
cana-3817	190	17	have	have	AUX
cana-3817	190	18	greatly	greatly	ADV
cana-3817	190	19	benefited	benefit	VERB
cana-3817	190	20	from	from	ADP
cana-3817	190	21	deep	deep	ADJ
cana-3817	190	22	learning	learning	NOUN
cana-3817	190	23	algorithms	algorithm	NOUN
cana-3817	190	24	,	,	PUNCT
cana-3817	190	25	which	which	PRON
cana-3817	190	26	provide	provide	VERB
cana-3817	190	27	pronounced	pronounce	VERB
cana-3817	190	28	gains	gain	NOUN
cana-3817	190	29	in	in	ADP
cana-3817	190	30	accuracy	accuracy	NOUN
cana-3817	190	31	,	,	PUNCT
cana-3817	190	32	efficiency	efficiency	NOUN
cana-3817	190	33	,	,	PUNCT
cana-3817	190	34	and	and	CCONJ
cana-3817	190	35	real	real	ADJ
cana-3817	190	36	-	-	PUNCT
cana-3817	190	37	time	time	NOUN
cana-3817	190	38	flexibility	flexibility	NOUN
cana-3817	190	39	over	over	ADP
cana-3817	190	40	conventional	conventional	ADJ
cana-3817	190	41	approaches	approach	NOUN
cana-3817	190	42	.	.	PUNCT
cana-3817	191	1	among	among	ADP
cana-3817	191	2	the	the	DET
cana-3817	191	3	main	main	ADJ
cana-3817	191	4	outcomes	outcome	NOUN
cana-3817	191	5	are	be	AUX
cana-3817	191	6	:	:	PUNCT
cana-3817	191	7	•	•	NUM
cana-3817	191	8	better	well	ADJ
cana-3817	191	9	behavior	behavior	NOUN
cana-3817	191	10	modeling	modeling	NOUN
cana-3817	191	11	and	and	CCONJ
cana-3817	191	12	anomaly	anomaly	NOUN
cana-3817	191	13	detection	detection	NOUN
cana-3817	191	14	with	with	ADP
cana-3817	191	15	autoencoders	autoencoder	NOUN
cana-3817	191	16	,	,	PUNCT
cana-3817	191	17	lstms	lstms	ADJ
cana-3817	191	18	,	,	PUNCT
cana-3817	191	19	and	and	CCONJ
cana-3817	191	20	rnns	rnn	NOUN
cana-3817	191	21	.	.	PUNCT
cana-3817	192	1	•	•	NUM
cana-3817	192	2	more	more	ADV
cana-3817	192	3	accurate	accurate	ADJ
cana-3817	192	4	and	and	CCONJ
cana-3817	192	5	dynamic	dynamic	ADJ
cana-3817	192	6	risk	risk	NOUN
cana-3817	192	7	scoring	scoring	NOUN
cana-3817	192	8	using	use	VERB
cana-3817	192	9	deep	deep	ADJ
cana-3817	192	10	learning	learning	NOUN
cana-3817	192	11	models	model	NOUN
cana-3817	192	12	,	,	PUNCT
cana-3817	192	13	with	with	ADP
cana-3817	192	14	mlps	mlp	NOUN
cana-3817	192	15	and	and	CCONJ
cana-3817	192	16	rnns	rnns	PROPN
cana-3817	192	17	outperforming	outperform	VERB
cana-3817	192	18	more	more	ADJ
cana-3817	192	19	conventional	conventional	ADJ
cana-3817	192	20	methods	method	NOUN
cana-3817	192	21	in	in	ADP
cana-3817	192	22	terms	term	NOUN
cana-3817	192	23	of	of	ADP
cana-3817	192	24	accuracy	accuracy	NOUN
cana-3817	192	25	.	.	PUNCT
cana-3817	193	1	•	•	NUM
cana-3817	193	2	improved	improve	VERB
cana-3817	193	3	adaptive	adaptive	ADJ
cana-3817	193	4	authentication	authentication	NOUN
cana-3817	193	5	systems	system	NOUN
cana-3817	193	6	that	that	PRON
cana-3817	193	7	make	make	VERB
cana-3817	193	8	use	use	NOUN
cana-3817	193	9	of	of	ADP
cana-3817	193	10	cnns	cnns	ADJ
cana-3817	193	11	,	,	PUNCT
cana-3817	193	12	lstms	lstms	ADJ
cana-3817	193	13	,	,	PUNCT
cana-3817	193	14	and	and	CCONJ
cana-3817	193	15	reinforcement	reinforcement	NOUN
cana-3817	193	16	learning	learning	NOUN
cana-3817	193	17	,	,	PUNCT
cana-3817	193	18	leading	lead	VERB
cana-3817	193	19	to	to	ADP
cana-3817	193	20	systems	system	NOUN
cana-3817	193	21	that	that	PRON
cana-3817	193	22	are	be	AUX
cana-3817	193	23	safer	safe	ADJ
cana-3817	193	24	and	and	CCONJ
cana-3817	193	25	easier	easy	ADJ
cana-3817	193	26	to	to	PART
cana-3817	193	27	use	use	VERB
cana-3817	193	28	.	.	PUNCT
cana-3817	194	1	as	as	SCONJ
cana-3817	194	2	cloud	cloud	ADJ
cana-3817	194	3	environments	environment	NOUN
cana-3817	194	4	continue	continue	VERB
cana-3817	194	5	to	to	PART
cana-3817	194	6	evolve	evolve	VERB
cana-3817	194	7	,	,	PUNCT
cana-3817	194	8	the	the	DET
cana-3817	194	9	integration	integration	NOUN
cana-3817	194	10	of	of	ADP
cana-3817	194	11	these	these	DET
cana-3817	194	12	deep	deep	ADJ
cana-3817	194	13	learning	learning	NOUN
cana-3817	194	14	techniques	technique	NOUN
cana-3817	194	15	promises	promise	NOUN
cana-3817	194	16	to	to	PART
cana-3817	194	17	provide	provide	VERB
cana-3817	194	18	stronger	strong	ADJ
cana-3817	194	19	,	,	PUNCT
cana-3817	194	20	more	more	ADV
cana-3817	194	21	adaptive	adaptive	ADJ
cana-3817	194	22	security	security	NOUN
cana-3817	194	23	frameworks	framework	NOUN
cana-3817	194	24	.	.	PUNCT
cana-3817	195	1	communications	communication	NOUN
cana-3817	195	2	on	on	ADP
cana-3817	195	3	applied	apply	VERB
cana-3817	195	4	nonlinear	nonlinear	ADJ
cana-3817	195	5	analysis	analysis	NOUN
cana-3817	195	6	issn	issn	NOUN
cana-3817	195	7	:	:	PUNCT
cana-3817	195	8	1074	1074	NUM
cana-3817	195	9	-	-	PUNCT
cana-3817	195	10	133x	133x	NUM
cana-3817	195	11	vol	vol	NOUN
cana-3817	195	12	32	32	NUM
cana-3817	195	13	no	no	NOUN
cana-3817	195	14	.	.	PUNCT
cana-3817	196	1	8s	8s	PROPN
cana-3817	196	2	(	(	PUNCT
cana-3817	196	3	2025	2025	NUM
cana-3817	196	4	)	)	PUNCT
cana-3817	196	5	808	808	NUM
cana-3817	196	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	196	7	the	the	DET
cana-3817	196	8	deep	deep	ADJ
cana-3817	196	9	learning	learning	NOUN
cana-3817	196	10	methods	method	NOUN
cana-3817	196	11	used	use	VERB
cana-3817	196	12	for	for	ADP
cana-3817	196	13	cloud	cloud	NOUN
cana-3817	196	14	computing	computing	NOUN
cana-3817	196	15	's	's	PART
cana-3817	196	16	user	user	NOUN
cana-3817	196	17	and	and	CCONJ
cana-3817	196	18	entity	entity	NOUN
cana-3817	196	19	behavior	behavior	NOUN
cana-3817	196	20	analytics	analytic	NOUN
cana-3817	196	21	(	(	PUNCT
cana-3817	196	22	ueba	ueba	PROPN
cana-3817	196	23	)	)	PUNCT
cana-3817	196	24	,	,	PUNCT
cana-3817	196	25	risk	risk	NOUN
cana-3817	196	26	scoring	scoring	NOUN
cana-3817	196	27	,	,	PUNCT
cana-3817	196	28	and	and	CCONJ
cana-3817	196	29	adaptive	adaptive	ADJ
cana-3817	196	30	authentication	authentication	NOUN
cana-3817	196	31	are	be	AUX
cana-3817	196	32	compiled	compile	VERB
cana-3817	196	33	in	in	ADP
cana-3817	196	34	table	table	NOUN
cana-3817	196	35	1	1	NUM
cana-3817	196	36	below	below	ADV
cana-3817	196	37	,	,	PUNCT
cana-3817	196	38	along	along	ADP
cana-3817	196	39	with	with	ADP
cana-3817	196	40	the	the	DET
cana-3817	196	41	corresponding	corresponding	ADJ
cana-3817	196	42	outcomes	outcome	NOUN
cana-3817	196	43	:	:	PUNCT
cana-3817	196	44	table	table	NOUN
cana-3817	196	45	1	1	NUM
cana-3817	196	46	:	:	PUNCT
cana-3817	196	47	deep	deep	ADJ
cana-3817	196	48	learning	learning	NOUN
cana-3817	196	49	methods	method	NOUN
cana-3817	196	50	applied	apply	VERB
cana-3817	196	51	and	and	CCONJ
cana-3817	196	52	the	the	DET
cana-3817	196	53	results	result	NOUN
cana-3817	196	54	obtained	obtain	VERB
cana-3817	196	55	area	area	NOUN
cana-3817	196	56	of	of	ADP
cana-3817	196	57	research	research	NOUN
cana-3817	196	58	work	work	NOUN
cana-3817	196	59	deep	deep	ADJ
cana-3817	196	60	learning	learning	NOUN
cana-3817	196	61	techniques	technique	NOUN
cana-3817	196	62	results	result	NOUN
cana-3817	196	63	obtained	obtain	VERB
cana-3817	196	64	from	from	ADP
cana-3817	196	65	the	the	DET
cana-3817	196	66	study	study	NOUN
cana-3817	196	67	user	user	NOUN
cana-3817	196	68	and	and	CCONJ
cana-3817	196	69	entity	entity	NOUN
cana-3817	196	70	behavior	behavior	NOUN
cana-3817	196	71	analytics	analytic	NOUN
cana-3817	196	72	(	(	PUNCT
cana-3817	196	73	ueba	ueba	PROPN
cana-3817	196	74	)	)	PUNCT
cana-3817	196	75	auto	auto	NOUN
cana-3817	196	76	encoders	encoder	NOUN
cana-3817	196	77	(	(	PUNCT
cana-3817	196	78	aes	aes	NOUN
cana-3817	196	79	)	)	PUNCT
cana-3817	196	80	reconstruction	reconstruction	NOUN
cana-3817	196	81	error	error	NOUN
cana-3817	196	82	-	-	PUNCT
cana-3817	196	83	based	base	VERB
cana-3817	196	84	abnormal	abnormal	ADJ
cana-3817	196	85	login	login	NOUN
cana-3817	196	86	activity	activity	NOUN
cana-3817	196	87	detection	detection	NOUN
cana-3817	196	88	with	with	ADP
cana-3817	196	89	up	up	ADP
cana-3817	196	90	to	to	PART
cana-3817	196	91	90	90	NUM
cana-3817	196	92	%	%	NOUN
cana-3817	196	93	accuracy	accuracy	NOUN
cana-3817	196	94	.	.	PUNCT
cana-3817	197	1	recurrent	recurrent	ADJ
cana-3817	197	2	neural	neural	ADJ
cana-3817	197	3	networks	network	NOUN
cana-3817	197	4	(	(	PUNCT
cana-3817	197	5	rnns	rnns	PROPN
cana-3817	197	6	)	)	PUNCT
cana-3817	197	7	/	/	SYM
cana-3817	197	8	lstms	lstms	ADJ
cana-3817	197	9	15	15	NUM
cana-3817	197	10	%	%	NOUN
cana-3817	197	11	increase	increase	NOUN
cana-3817	197	12	in	in	ADP
cana-3817	197	13	anomaly	anomaly	NOUN
cana-3817	197	14	detection	detection	NOUN
cana-3817	197	15	accuracy	accuracy	NOUN
cana-3817	197	16	compared	compare	VERB
cana-3817	197	17	to	to	ADP
cana-3817	197	18	conventional	conventional	ADJ
cana-3817	197	19	statistical	statistical	ADJ
cana-3817	197	20	techniques	technique	NOUN
cana-3817	197	21	.	.	PUNCT
cana-3817	198	1	graph	graph	VERB
cana-3817	198	2	neural	neural	ADJ
cana-3817	198	3	networks	network	NOUN
cana-3817	198	4	(	(	PUNCT
cana-3817	198	5	gnns	gnns	NOUN
cana-3817	198	6	)	)	PUNCT
cana-3817	198	7	95	95	NUM
cana-3817	198	8	%	%	NOUN
cana-3817	198	9	detection	detection	NOUN
cana-3817	198	10	accuracy	accuracy	NOUN
cana-3817	198	11	for	for	ADP
cana-3817	198	12	intricate	intricate	ADJ
cana-3817	198	13	attack	attack	NOUN
cana-3817	198	14	patterns	pattern	NOUN
cana-3817	198	15	,	,	PUNCT
cana-3817	198	16	including	include	VERB
cana-3817	198	17	insider	insider	NOUN
cana-3817	198	18	threats	threat	NOUN
cana-3817	198	19	and	and	CCONJ
cana-3817	198	20	lateral	lateral	ADJ
cana-3817	198	21	moves	move	NOUN
cana-3817	198	22	.	.	PUNCT
cana-3817	199	1	risk	risk	NOUN
cana-3817	199	2	scoring	scoring	NOUN
cana-3817	199	3	autoencoders	autoencoder	NOUN
cana-3817	199	4	(	(	PUNCT
cana-3817	199	5	aes	aes	NOUN
cana-3817	199	6	)	)	PUNCT
cana-3817	199	7	20	20	NUM
cana-3817	199	8	%	%	NOUN
cana-3817	199	9	lower	low	ADJ
cana-3817	199	10	false	false	ADJ
cana-3817	199	11	positive	positive	ADJ
cana-3817	199	12	rate	rate	NOUN
cana-3817	199	13	in	in	ADP
cana-3817	199	14	risk	risk	NOUN
cana-3817	199	15	rating	rating	NOUN
cana-3817	199	16	when	when	SCONJ
cana-3817	199	17	compared	compare	VERB
cana-3817	199	18	to	to	ADP
cana-3817	199	19	conventional	conventional	ADJ
cana-3817	199	20	statistical	statistical	ADJ
cana-3817	199	21	models	model	NOUN
cana-3817	199	22	.	.	PUNCT
cana-3817	200	1	multilayer	multilayer	PROPN
cana-3817	200	2	perceptron	perceptron	PROPN
cana-3817	200	3	’s	’s	PART
cana-3817	200	4	(	(	PUNCT
cana-3817	200	5	mlps	mlps	PROPN
cana-3817	200	6	)	)	PUNCT
cana-3817	200	7	accuracy	accuracy	NOUN
cana-3817	200	8	of	of	ADP
cana-3817	200	9	risk	risk	NOUN
cana-3817	200	10	classification	classification	NOUN
cana-3817	200	11	(	(	PUNCT
cana-3817	200	12	low	low	ADJ
cana-3817	200	13	,	,	PUNCT
cana-3817	200	14	medium	medium	ADJ
cana-3817	200	15	,	,	PUNCT
cana-3817	200	16	and	and	CCONJ
cana-3817	200	17	high	high	ADJ
cana-3817	200	18	risk	risk	NOUN
cana-3817	200	19	)	)	PUNCT
cana-3817	200	20	increased	increase	VERB
cana-3817	200	21	by	by	ADP
cana-3817	200	22	15	15	NUM
cana-3817	200	23	%	%	NOUN
cana-3817	200	24	to	to	PART
cana-3817	200	25	20	20	NUM
cana-3817	200	26	%	%	NOUN
cana-3817	200	27	.	.	PUNCT
cana-3817	201	1	recurrent	recurrent	ADJ
cana-3817	201	2	neural	neural	ADJ
cana-3817	201	3	networks	network	NOUN
cana-3817	201	4	(	(	PUNCT
cana-3817	201	5	rnns	rnns	NOUN
cana-3817	201	6	)	)	PUNCT
cana-3817	201	7	predictive	predictive	ADJ
cana-3817	201	8	accuracy	accuracy	NOUN
cana-3817	201	9	for	for	ADP
cana-3817	201	10	identifying	identify	VERB
cana-3817	201	11	high	high	ADJ
cana-3817	201	12	-	-	PUNCT
cana-3817	201	13	risk	risk	NOUN
cana-3817	201	14	users	user	NOUN
cana-3817	201	15	has	have	AUX
cana-3817	201	16	increased	increase	VERB
cana-3817	201	17	by	by	ADP
cana-3817	201	18	25	25	NUM
cana-3817	201	19	%	%	NOUN
cana-3817	201	20	.	.	PUNCT
cana-3817	202	1	adaptive	adaptive	ADJ
cana-3817	202	2	authentication	authentication	NOUN
cana-3817	202	3	context	context	NOUN
cana-3817	202	4	-	-	PUNCT
cana-3817	202	5	aware	aware	ADJ
cana-3817	202	6	authentication	authentication	NOUN
cana-3817	202	7	with	with	ADP
cana-3817	202	8	cnns	cnn	NOUN
cana-3817	202	9	taking	take	VERB
cana-3817	202	10	contextual	contextual	ADJ
cana-3817	202	11	information	information	NOUN
cana-3817	202	12	(	(	PUNCT
cana-3817	202	13	e.g.	e.g.	ADV
cana-3817	202	14	,	,	PUNCT
cana-3817	202	15	location	location	NOUN
cana-3817	202	16	,	,	PUNCT
cana-3817	202	17	device	device	NOUN
cana-3817	202	18	)	)	PUNCT
cana-3817	202	19	into	into	ADP
cana-3817	202	20	account	account	NOUN
cana-3817	202	21	reduces	reduce	VERB
cana-3817	202	22	false	false	ADJ
cana-3817	202	23	authentication	authentication	NOUN
cana-3817	202	24	failures	failure	NOUN
cana-3817	202	25	by	by	ADP
cana-3817	202	26	30	30	NUM
cana-3817	202	27	%	%	NOUN
cana-3817	202	28	.	.	PUNCT
cana-3817	203	1	behavioral	behavioral	ADJ
cana-3817	203	2	biometrics	biometric	NOUN
cana-3817	203	3	with	with	ADP
cana-3817	203	4	lstms	lstms	ADJ
cana-3817	203	5	98	98	NUM
cana-3817	203	6	%	%	NOUN
cana-3817	203	7	precision	precision	NOUN
cana-3817	203	8	in	in	ADP
cana-3817	203	9	differentiating	differentiate	VERB
cana-3817	203	10	between	between	ADP
cana-3817	203	11	authentic	authentic	ADJ
cana-3817	203	12	users	user	NOUN
cana-3817	203	13	and	and	CCONJ
cana-3817	203	14	counterfeiters	counterfeiter	NOUN
cana-3817	203	15	.	.	PUNCT
cana-3817	204	1	reinforcement	reinforcement	NOUN
cana-3817	204	2	learning	learning	NOUN
cana-3817	204	3	(	(	PUNCT
cana-3817	204	4	rl	rl	NOUN
cana-3817	204	5	)	)	PUNCT
cana-3817	204	6	user	user	NOUN
cana-3817	204	7	experience	experience	NOUN
cana-3817	204	8	is	be	AUX
cana-3817	204	9	improved	improve	VERB
cana-3817	204	10	by	by	ADP
cana-3817	204	11	a	a	DET
cana-3817	204	12	40	40	NUM
cana-3817	204	13	%	%	NOUN
cana-3817	204	14	decrease	decrease	NOUN
cana-3817	204	15	in	in	ADP
cana-3817	204	16	pointless	pointless	ADJ
cana-3817	204	17	authentication	authentication	NOUN
cana-3817	204	18	prompts	prompt	NOUN
cana-3817	204	19	.	.	PUNCT
cana-3817	205	1	proposed	propose	VERB
cana-3817	205	2	integrated	integrate	VERB
cana-3817	205	3	framework	framework	NOUN
cana-3817	205	4	(	(	PUNCT
cana-3817	205	5	ueba	ueba	ADJ
cana-3817	205	6	,	,	PUNCT
cana-3817	205	7	risk	risk	NOUN
cana-3817	205	8	scoring	scoring	NOUN
cana-3817	205	9	,	,	PUNCT
cana-3817	205	10	and	and	CCONJ
cana-3817	205	11	adaptive	adaptive	ADJ
cana-3817	205	12	authentication	authentication	NOUN
cana-3817	205	13	)	)	PUNCT
cana-3817	205	14	end	end	NOUN
cana-3817	205	15	-	-	PUNCT
cana-3817	205	16	to	to	ADP
cana-3817	205	17	-	-	PUNCT
cana-3817	205	18	end	end	NOUN
cana-3817	205	19	neural	neural	ADJ
cana-3817	205	20	networks	network	NOUN
cana-3817	205	21	using	use	VERB
cana-3817	205	22	adaptive	adaptive	ADJ
cana-3817	205	23	authentication	authentication	NOUN
cana-3817	205	24	,	,	PUNCT
cana-3817	205	25	risk	risk	NOUN
cana-3817	205	26	assessment	assessment	NOUN
cana-3817	205	27	,	,	PUNCT
cana-3817	205	28	and	and	CCONJ
cana-3817	205	29	integrated	integrated	ADJ
cana-3817	205	30	ueba	ueba	NOUN
cana-3817	205	31	,	,	PUNCT
cana-3817	205	32	detection	detection	NOUN
cana-3817	205	33	accuracy	accuracy	NOUN
cana-3817	205	34	ranges	range	VERB
cana-3817	205	35	from	from	ADP
cana-3817	205	36	85	85	NUM
cana-3817	205	37	to	to	PART
cana-3817	205	38	90	90	NUM
cana-3817	205	39	%	%	NOUN
cana-3817	205	40	.	.	PUNCT
cana-3817	206	1	multi	multi	ADJ
cana-3817	206	2	-	-	ADJ
cana-3817	206	3	task	task	ADJ
cana-3817	206	4	learning	learn	VERB
cana-3817	206	5	reduced	reduce	VERB
cana-3817	206	6	processing	processing	NOUN
cana-3817	206	7	burden	burden	NOUN
cana-3817	206	8	and	and	CCONJ
cana-3817	206	9	increased	increase	VERB
cana-3817	206	10	accuracy	accuracy	NOUN
cana-3817	206	11	and	and	CCONJ
cana-3817	206	12	response	response	NOUN
cana-3817	206	13	times	time	NOUN
cana-3817	206	14	.	.	PUNCT
cana-3817	207	1	5	5	X
cana-3817	207	2	.	.	X
cana-3817	207	3	conclusion	conclusion	NOUN
cana-3817	207	4	the	the	DET
cana-3817	207	5	findings	finding	NOUN
cana-3817	207	6	from	from	ADP
cana-3817	207	7	our	our	PRON
cana-3817	207	8	investigation	investigation	NOUN
cana-3817	207	9	are	be	AUX
cana-3817	207	10	as	as	SCONJ
cana-3817	207	11	follows	follow	VERB
cana-3817	207	12	:	:	PUNCT
cana-3817	207	13	•	•	NUM
cana-3817	207	14	ueba	ueba	PROPN
cana-3817	207	15	:	:	PUNCT
cana-3817	207	16	with	with	SCONJ
cana-3817	207	17	accuracy	accuracy	NOUN
cana-3817	207	18	gains	gain	NOUN
cana-3817	207	19	ranging	range	VERB
cana-3817	207	20	from	from	ADP
cana-3817	207	21	15	15	NUM
cana-3817	207	22	%	%	NOUN
cana-3817	207	23	to	to	PART
cana-3817	207	24	95	95	NUM
cana-3817	207	25	%	%	NOUN
cana-3817	207	26	over	over	ADP
cana-3817	207	27	conventional	conventional	ADJ
cana-3817	207	28	techniques	technique	NOUN
cana-3817	207	29	,	,	PUNCT
cana-3817	207	30	deep	deep	ADJ
cana-3817	207	31	learning	learning	NOUN
cana-3817	207	32	models	model	NOUN
cana-3817	207	33	—	—	PUNCT
cana-3817	207	34	in	in	ADP
cana-3817	207	35	particular	particular	ADJ
cana-3817	207	36	,	,	PUNCT
cana-3817	207	37	autoencoders	autoencoder	NOUN
cana-3817	207	38	,	,	PUNCT
cana-3817	207	39	rnns	rnn	NOUN
cana-3817	207	40	,	,	PUNCT
cana-3817	207	41	and	and	CCONJ
cana-3817	207	42	lstms	lstms	ADJ
cana-3817	207	43	—	—	PUNCT
cana-3817	207	44	have	have	AUX
cana-3817	207	45	demonstrated	demonstrate	VERB
cana-3817	207	46	remarkable	remarkable	ADJ
cana-3817	207	47	effectiveness	effectiveness	NOUN
cana-3817	207	48	in	in	ADP
cana-3817	207	49	anomaly	anomaly	NOUN
cana-3817	207	50	identification	identification	NOUN
cana-3817	207	51	and	and	CCONJ
cana-3817	207	52	behavior	behavior	NOUN
cana-3817	207	53	analysis	analysis	NOUN
cana-3817	207	54	.	.	PUNCT
cana-3817	208	1	communications	communication	NOUN
cana-3817	208	2	on	on	ADP
cana-3817	208	3	applied	apply	VERB
cana-3817	208	4	nonlinear	nonlinear	ADJ
cana-3817	208	5	analysis	analysis	NOUN
cana-3817	208	6	issn	issn	NOUN
cana-3817	208	7	:	:	PUNCT
cana-3817	208	8	1074	1074	NUM
cana-3817	208	9	-	-	PUNCT
cana-3817	208	10	133x	133x	NUM
cana-3817	208	11	vol	vol	NOUN
cana-3817	208	12	32	32	NUM
cana-3817	208	13	no	no	NOUN
cana-3817	208	14	.	.	PUNCT
cana-3817	209	1	8s	8s	PROPN
cana-3817	209	2	(	(	PUNCT
cana-3817	209	3	2025	2025	NUM
cana-3817	209	4	)	)	PUNCT
cana-3817	209	5	809	809	NUM
cana-3817	209	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3817	209	7	•	•	NOUN
cana-3817	209	8	risk	risk	NOUN
cana-3817	209	9	scoring	scoring	NOUN
cana-3817	209	10	:	:	PUNCT
cana-3817	209	11	with	with	ADP
cana-3817	209	12	increases	increase	NOUN
cana-3817	209	13	in	in	ADP
cana-3817	209	14	predicting	predict	VERB
cana-3817	209	15	accuracy	accuracy	NOUN
cana-3817	209	16	and	and	CCONJ
cana-3817	209	17	fewer	few	ADJ
cana-3817	209	18	false	false	ADJ
cana-3817	209	19	positives	positive	NOUN
cana-3817	209	20	,	,	PUNCT
cana-3817	209	21	deep	deep	ADJ
cana-3817	209	22	learning	learning	NOUN
cana-3817	209	23	models	model	NOUN
cana-3817	209	24	such	such	ADJ
cana-3817	209	25	as	as	ADP
cana-3817	209	26	mlps	mlp	NOUN
cana-3817	209	27	and	and	CCONJ
cana-3817	209	28	autoencoders	autoencoder	NOUN
cana-3817	209	29	aid	aid	NOUN
cana-3817	209	30	in	in	ADP
cana-3817	209	31	the	the	DET
cana-3817	209	32	creation	creation	NOUN
cana-3817	209	33	of	of	ADP
cana-3817	209	34	dynamic	dynamic	ADJ
cana-3817	209	35	,	,	PUNCT
cana-3817	209	36	real	real	ADJ
cana-3817	209	37	-	-	PUNCT
cana-3817	209	38	time	time	NOUN
cana-3817	209	39	risk	risk	NOUN
cana-3817	209	40	scores	score	NOUN
cana-3817	209	41	.	.	PUNCT
cana-3817	210	1	•	•	NUM
cana-3817	210	2	adaptive	adaptive	ADJ
cana-3817	210	3	authentication	authentication	NOUN
cana-3817	210	4	:	:	PUNCT
cana-3817	210	5	cloud	cloud	NOUN
cana-3817	210	6	systems	system	NOUN
cana-3817	210	7	may	may	AUX
cana-3817	210	8	adjust	adjust	VERB
cana-3817	210	9	authentication	authentication	NOUN
cana-3817	210	10	settings	setting	NOUN
cana-3817	210	11	in	in	ADP
cana-3817	210	12	real	real	ADJ
cana-3817	210	13	-	-	PUNCT
cana-3817	210	14	time	time	NOUN
cana-3817	210	15	depending	depend	VERB
cana-3817	210	16	on	on	ADP
cana-3817	210	17	risk	risk	NOUN
cana-3817	210	18	assessments	assessment	NOUN
cana-3817	210	19	thanks	thank	NOUN
cana-3817	210	20	to	to	ADP
cana-3817	210	21	cnns	cnns	PROPN
cana-3817	210	22	,	,	PUNCT
cana-3817	210	23	lstms	lstms	ADJ
cana-3817	210	24	,	,	PUNCT
cana-3817	210	25	and	and	CCONJ
cana-3817	210	26	reinforcement	reinforcement	NOUN
cana-3817	210	27	learning	learning	NOUN
cana-3817	210	28	.	.	PUNCT
cana-3817	211	1	this	this	PRON
cana-3817	211	2	improves	improve	VERB
cana-3817	211	3	security	security	NOUN
cana-3817	211	4	and	and	CCONJ
cana-3817	211	5	user	user	NOUN
cana-3817	211	6	experience	experience	NOUN
cana-3817	211	7	while	while	SCONJ
cana-3817	211	8	improving	improve	VERB
cana-3817	211	9	accuracy	accuracy	NOUN
cana-3817	211	10	by	by	ADP
cana-3817	211	11	up	up	ADP
cana-3817	211	12	to	to	PART
cana-3817	211	13	98	98	NUM
cana-3817	211	14	%	%	NOUN
cana-3817	211	15	.	.	PUNCT
cana-3817	212	1	these	these	DET
cana-3817	212	2	findings	finding	NOUN
cana-3817	212	3	show	show	VERB
cana-3817	212	4	that	that	SCONJ
cana-3817	212	5	by	by	ADP
cana-3817	212	6	automating	automate	VERB
cana-3817	212	7	threat	threat	NOUN
cana-3817	212	8	detection	detection	NOUN
cana-3817	212	9	,	,	PUNCT
cana-3817	212	10	risk	risk	NOUN
cana-3817	212	11	assessment	assessment	NOUN
cana-3817	212	12	,	,	PUNCT
cana-3817	212	13	and	and	CCONJ
cana-3817	212	14	authentication	authentication	NOUN
cana-3817	212	15	,	,	PUNCT
cana-3817	212	16	deep	deep	ADJ
cana-3817	212	17	learning	learning	NOUN
cana-3817	212	18	approaches	approach	NOUN
cana-3817	212	19	greatly	greatly	ADV
cana-3817	212	20	improve	improve	VERB
cana-3817	212	21	cloud	cloud	ADJ
cana-3817	212	22	environments	environment	NOUN
cana-3817	212	23	'	'	PART
cana-3817	212	24	security	security	NOUN
cana-3817	212	25	,	,	PUNCT
cana-3817	212	26	flexibility	flexibility	NOUN
cana-3817	212	27	,	,	PUNCT
cana-3817	212	28	and	and	CCONJ
cana-3817	212	29	user	user	NOUN
cana-3817	212	30	experience	experience	NOUN
cana-3817	212	31	.	.	PUNCT
cana-3817	213	1	references	reference	NOUN
cana-3817	213	2	[	[	X
cana-3817	213	3	1	1	NUM
cana-3817	213	4	]	]	X
cana-3817	213	5	al	al	PROPN
cana-3817	213	6	-	-	PUNCT
cana-3817	213	7	zubi	zubi	PROPN
cana-3817	213	8	,	,	PUNCT
cana-3817	213	9	s.	s.	PROPN
cana-3817	213	10	,	,	PUNCT
cana-3817	213	11	aqel	aqel	NOUN
cana-3817	213	12	,	,	PUNCT
cana-3817	213	13	d.	d.	PROPN
cana-3817	213	14	,	,	PUNCT
cana-3817	213	15	lafi	lafi	PROPN
cana-3817	213	16	,	,	PUNCT
cana-3817	213	17	m.	m.	NOUN
cana-3817	213	18	:	:	PUNCT
cana-3817	213	19	“	"	PUNCT
cana-3817	213	20	an	an	DET
cana-3817	213	21	intelligent	intelligent	ADJ
cana-3817	213	22	system	system	NOUN
cana-3817	213	23	for	for	ADP
cana-3817	213	24	blood	blood	NOUN
cana-3817	213	25	donation	donation	NOUN
cana-3817	213	26	process	process	NOUN
cana-3817	213	27	optimization	optimization	NOUN
cana-3817	213	28	-	-	PUNCT
cana-3817	213	29	smart	smart	ADJ
cana-3817	213	30	techniques	technique	NOUN
cana-3817	213	31	for	for	ADP
cana-3817	213	32	minimizing	minimize	VERB
cana-3817	213	33	blood	blood	NOUN
cana-3817	213	34	wastages	wastage	NOUN
cana-3817	213	35	”	"	PUNCT
cana-3817	213	36	.	.	PUNCT
cana-3817	214	1	clust	clust	PROPN
cana-3817	214	2	.	.	PUNCT
cana-3817	215	1	comput	comput	NOUN
cana-3817	215	2	.	.	PUNCT
cana-3817	216	1	2022	2022	NUM
cana-3817	216	2	,	,	PUNCT
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cana-3817	216	4	,	,	PUNCT
cana-3817	216	5	(	(	PUNCT
cana-3817	216	6	2022	2022	NUM
cana-3817	216	7	)	)	PUNCT
cana-3817	216	8	.	.	PUNCT
cana-3817	217	1	https://doi.org/10.1007/s10586-022-03594-3	https://doi.org/10.1007/s10586-022-03594-3	NUM
cana-3817	217	2	.	.	PUNCT
cana-3817	218	1	[	[	X
cana-3817	218	2	2	2	NUM
cana-3817	218	3	]	]	PUNCT
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cana-3817	218	5	,	,	PUNCT
cana-3817	218	6	d.	d.	PROPN
cana-3817	218	7	,	,	PUNCT
cana-3817	218	8	al	al	PROPN
cana-3817	218	9	-	-	PUNCT
cana-3817	218	10	zubi	zubi	PROPN
cana-3817	218	11	,	,	PUNCT
cana-3817	218	12	s.	s.	PROPN
cana-3817	218	13	,	,	PUNCT
cana-3817	218	14	mughaid	mughaid	VERB
cana-3817	218	15	,	,	PUNCT
cana-3817	218	16	a.	a.	PROPN
cana-3817	218	17	,	,	PUNCT
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cana-3817	218	21	“	"	PUNCT
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cana-3817	218	24	machine	machine	NOUN
cana-3817	218	25	for	for	ADP
cana-3817	218	26	plant	plant	NOUN
cana-3817	218	27	diseases	disease	NOUN
cana-3817	218	28	classification	classification	NOUN
cana-3817	218	29	:	:	PUNCT
cana-3817	218	30	a	a	DET
cana-3817	218	31	sustainable	sustainable	ADJ
cana-3817	218	32	approach	approach	NOUN
cana-3817	218	33	for	for	ADP
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cana-3817	218	35	agriculture	agriculture	NOUN
cana-3817	218	36	”	"	PUNCT
cana-3817	218	37	.	.	PUNCT
cana-3817	219	1	clust	clust	PROPN
cana-3817	219	2	.	.	PUNCT
cana-3817	220	1	comput	comput	NOUN
cana-3817	220	2	.	.	PUNCT
cana-3817	221	1	2021	2021	NUM
cana-3817	221	2	,	,	PUNCT
cana-3817	221	3	1–14	1–14	PROPN
cana-3817	221	4	(	(	PUNCT
cana-3817	221	5	2021	2021	NUM
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cana-3817	221	7	.	.	PUNCT
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cana-3817	222	2	.	.	PUNCT
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cana-3817	223	2	3	3	NUM
cana-3817	223	3	]	]	PUNCT
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cana-3817	223	6	,	,	PUNCT
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cana-3817	223	9	,	,	PUNCT
cana-3817	223	10	elhadi	elhadi	PROPN
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cana-3817	223	12	,	,	PUNCT
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cana-3817	223	16	“	"	PUNCT
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cana-3817	223	19	security	security	NOUN
cana-3817	223	20	and	and	CCONJ
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cana-3817	223	22	learning	learning	NOUN
cana-3817	223	23	:	:	PUNCT
cana-3817	223	24	an	an	DET
cana-3817	223	25	ann	ann	PROPN
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cana-3817	223	27	”	"	PUNCT
cana-3817	223	28	,	,	PUNCT
cana-3817	223	29	procedia	procedia	NOUN
cana-3817	223	30	computer	computer	NOUN
cana-3817	223	31	science	science	NOUN
cana-3817	223	32	-	-	PUNCT
cana-3817	223	33	april	april	PROPN
cana-3817	223	34	,	,	PUNCT
cana-3817	223	35	2024	2024	NUM
cana-3817	223	36	,	,	PUNCT
cana-3817	223	37	volume	volume	NOUN
cana-3817	223	38	231	231	NUM
cana-3817	223	39	,	,	PUNCT
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cana-3817	223	41	c	c	NOUN
cana-3817	223	42	,	,	PUNCT
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cana-3817	223	45	–	–	PUNCT
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cana-3817	223	47	,	,	PUNCT
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cana-3817	224	3	]	]	X
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cana-3817	224	7	t.	t.	PROPN
cana-3817	224	8	prem	prem	PROPN
cana-3817	224	9	jacob	jacob	PROPN
cana-3817	224	10	,	,	PUNCT
cana-3817	224	11	"	"	PUNCT
cana-3817	224	12	an	an	DET
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cana-3817	224	14	time	time	NOUN
cana-3817	224	15	cloud	cloud	ADJ
cana-3817	224	16	security	security	NOUN
cana-3817	224	17	system	system	NOUN
cana-3817	224	18	and	and	CCONJ
cana-3817	224	19	issues	issue	VERB
cana-3817	224	20	comparison	comparison	NOUN
cana-3817	224	21	using	use	VERB
cana-3817	224	22	machine	machine	NOUN
cana-3817	224	23	and	and	CCONJ
cana-3817	224	24	deep	deep	ADJ
cana-3817	224	25	learning	learning	NOUN
cana-3817	224	26	,	,	PUNCT
cana-3817	224	27	"	"	PUNCT
cana-3817	224	28	2021	2021	NUM
cana-3817	224	29	fifth	fifth	ADJ
cana-3817	224	30	international	international	ADJ
cana-3817	224	31	conference	conference	NOUN
cana-3817	224	32	on	on	ADP
cana-3817	224	33	i	i	PROPN
cana-3817	224	34	-	-	PUNCT
cana-3817	224	35	smac	smac	PROPN
cana-3817	224	36	(	(	PUNCT
cana-3817	224	37	iot	iot	PROPN
cana-3817	224	38	in	in	ADP
cana-3817	224	39	social	social	ADJ
cana-3817	224	40	,	,	PUNCT
cana-3817	224	41	mobile	mobile	ADJ
cana-3817	224	42	,	,	PUNCT
cana-3817	224	43	analytics	analytic	NOUN
cana-3817	224	44	and	and	CCONJ
cana-3817	224	45	cloud	cloud	NOUN
cana-3817	224	46	)	)	PUNCT
cana-3817	224	47	(	(	PUNCT
cana-3817	224	48	ismac),2021	ismac),2021	PROPN
cana-3817	224	49	,	,	PUNCT
cana-3817	224	50	pp	pp	ADJ
cana-3817	224	51	.	.	PUNCT
cana-3817	224	52	523	523	NUM
cana-3817	224	53	-	-	SYM
cana-3817	224	54	529	529	NUM
cana-3817	224	55	,	,	PUNCT
cana-3817	224	56	https://doi	https://doi	PROPN
cana-3817	224	57	:	:	PUNCT
cana-3817	224	58	https://doi.org/10.1109/i-smac52330.2021.9640650	https://doi.org/10.1109/i-smac52330.2021.9640650	NOUN
cana-3817	224	59	.	.	PUNCT
cana-3817	225	1	[	[	X
cana-3817	225	2	5	5	NUM
cana-3817	225	3	]	]	PUNCT
cana-3817	225	4	m.	m.	NOUN
cana-3817	225	5	hindka	hindka	NOUN
cana-3817	225	6	,	,	PUNCT
cana-3817	225	7	"	"	PUNCT
cana-3817	225	8	optimization	optimization	NOUN
cana-3817	225	9	accuracy	accuracy	NOUN
cana-3817	225	10	of	of	ADP
cana-3817	225	11	secured	secured	ADJ
cana-3817	225	12	cloud	cloud	NOUN
cana-3817	225	13	systems	system	NOUN
cana-3817	225	14	using	use	VERB
cana-3817	225	15	deep	deep	ADJ
cana-3817	225	16	learning	learning	NOUN
cana-3817	225	17	model	model	NOUN
cana-3817	225	18	,	,	PUNCT
cana-3817	225	19	"	"	PUNCT
cana-3817	225	20	2024	2024	NUM
cana-3817	225	21	4th	4th	ADJ
cana-3817	225	22	international	international	ADJ
cana-3817	225	23	conference	conference	NOUN
cana-3817	225	24	on	on	ADP
cana-3817	225	25	intelligent	intelligent	ADJ
cana-3817	225	26	technologies	technology	NOUN
cana-3817	225	27	(	(	PUNCT
cana-3817	225	28	conit	conit	NOUN
cana-3817	225	29	)	)	PUNCT
cana-3817	225	30	,	,	PUNCT
cana-3817	225	31	2024	2024	NUM
cana-3817	225	32	,	,	PUNCT
cana-3817	225	33	pp	pp	ADJ
cana-3817	225	34	.	.	PUNCT
cana-3817	226	1	1	1	NUM
cana-3817	226	2	-	-	SYM
cana-3817	226	3	5	5	NUM
cana-3817	226	4	,	,	PUNCT
cana-3817	226	5	doi	doi	NOUN
cana-3817	226	6	:	:	PUNCT
cana-3817	226	7	https://doi.org/10.1109/conit61985.2024.10627032	https://doi.org/10.1109/conit61985.2024.10627032	NOUN
cana-3817	226	8	.	.	PUNCT
cana-3817	227	1	[	[	X
cana-3817	227	2	6	6	NUM
cana-3817	227	3	]	]	PUNCT
cana-3817	227	4	s.	s.	PROPN
cana-3817	227	5	k.	k.	PROPN
cana-3817	227	6	s	s	PART
cana-3817	227	7	r	r	NOUN
cana-3817	227	8	,	,	PUNCT
cana-3817	227	9	p.	p.	NOUN
cana-3817	227	10	r.	r.	PROPN
cana-3817	228	1	p.	p.	PROPN
cana-3817	228	2	s	s	PART
cana-3817	229	1	k	k	PROPN
cana-3817	229	2	and	and	CCONJ
cana-3817	229	3	t.	t.	PROPN
cana-3817	229	4	prem	prem	PROPN
cana-3817	229	5	jacob	jacob	PROPN
cana-3817	229	6	,	,	PUNCT
cana-3817	229	7	"	"	PUNCT
cana-3817	229	8	blockchain	blockchain	PROPN
cana-3817	229	9	-	-	PUNCT
cana-3817	229	10	enabled	enable	VERB
cana-3817	229	11	supply	supply	NOUN
cana-3817	229	12	chain	chain	NOUN
cana-3817	229	13	management	management	NOUN
cana-3817	229	14	for	for	ADP
cana-3817	229	15	authenticating	authenticate	VERB
cana-3817	229	16	products	product	NOUN
cana-3817	229	17	using	use	VERB
cana-3817	229	18	qr	qr	PROPN
cana-3817	229	19	with	with	ADP
cana-3817	229	20	firebase	firebase	NOUN
cana-3817	229	21	integration	integration	NOUN
cana-3817	229	22	,	,	PUNCT
cana-3817	229	23	"	"	PUNCT
cana-3817	229	24	2024	2024	NUM
cana-3817	229	25	international	international	ADJ
cana-3817	229	26	conference	conference	NOUN
cana-3817	229	27	on	on	ADP
cana-3817	229	28	inventive	inventive	ADJ
cana-3817	229	29	computation	computation	NOUN
cana-3817	229	30	technologies	technology	NOUN
cana-3817	229	31	(	(	PUNCT
cana-3817	229	32	icict	icict	NOUN
cana-3817	229	33	)	)	PUNCT
cana-3817	229	34	,	,	PUNCT
cana-3817	229	35	2024	2024	NUM
cana-3817	229	36	,	,	PUNCT
cana-3817	229	37	pp	pp	ADV
cana-3817	229	38	.	.	PUNCT
cana-3817	229	39	1552	1552	NUM
cana-3817	229	40	-	-	SYM
cana-3817	229	41	1555	1555	NUM
cana-3817	229	42	,	,	PUNCT
cana-3817	229	43	doi	doi	NOUN
cana-3817	229	44	:	:	PUNCT
cana-3817	229	45	https://doi.org/10.1109/icict60155.2024.10544991	https://doi.org/10.1109/icict60155.2024.10544991	PROPN
cana-3817	229	46	.	.	PUNCT
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cana-3817	230	2	7	7	X
cana-3817	230	3	]	]	X
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cana-3817	230	13	prem	prem	PROPN
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cana-3817	230	15	,	,	PUNCT
cana-3817	230	16	"	"	PUNCT
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cana-3817	230	25	,	,	PUNCT
cana-3817	230	26	"	"	PUNCT
cana-3817	230	27	2024	2024	NUM
cana-3817	230	28	international	international	ADJ
cana-3817	230	29	conference	conference	NOUN
cana-3817	230	30	on	on	ADP
cana-3817	230	31	inventive	inventive	ADJ
cana-3817	230	32	computation	computation	NOUN
cana-3817	230	33	technologies	technology	NOUN
cana-3817	230	34	(	(	PUNCT
cana-3817	230	35	icict	icict	NOUN
cana-3817	230	36	)	)	PUNCT
cana-3817	230	37	,	,	PUNCT
cana-3817	230	38	2024	2024	NUM
cana-3817	230	39	,	,	PUNCT
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cana-3817	230	41	.	.	PUNCT
cana-3817	230	42	831	831	NUM
cana-3817	230	43	-	-	SYM
cana-3817	230	44	834	834	NUM
cana-3817	230	45	,	,	PUNCT
cana-3817	230	46	doi	doi	NOUN
cana-3817	230	47	:	:	PUNCT
cana-3817	230	48	https://doi.org/10.1109/icict60155.2024.10544895	https://doi.org/10.1109/icict60155.2024.10544895	PROPN
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cana-3817	231	19	network	network	NOUN
cana-3817	231	20	traffic	traffic	NOUN
cana-3817	231	21	:	:	PUNCT
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cana-3817	231	30	first	first	ADJ
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cana-3817	231	32	conference	conference	NOUN
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cana-3817	231	34	software	software	NOUN
cana-3817	231	35	,	,	PUNCT
cana-3817	231	36	systems	system	NOUN
cana-3817	231	37	and	and	CCONJ
cana-3817	231	38	information	information	NOUN
cana-3817	231	39	technology	technology	NOUN
cana-3817	231	40	(	(	PUNCT
cana-3817	231	41	ssitcon	ssitcon	NOUN
cana-3817	231	42	)	)	PUNCT
cana-3817	231	43	,	,	PUNCT
cana-3817	231	44	2024	2024	NUM
cana-3817	231	45	,	,	PUNCT
cana-3817	231	46	pp	pp	ADJ
cana-3817	231	47	.	.	PUNCT
cana-3817	232	1	1	1	NUM
cana-3817	232	2	-	-	SYM
cana-3817	232	3	7	7	NUM
cana-3817	232	4	,	,	PUNCT
cana-3817	232	5	doi	doi	NOUN
cana-3817	232	6	:	:	PUNCT
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cana-3817	232	8	.	.	PUNCT
cana-3817	233	1	[	[	X
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cana-3817	233	3	]	]	X
cana-3817	233	4	r.	r.	PROPN
cana-3817	233	5	bhavya	bhavya	PROPN
cana-3817	233	6	,	,	PUNCT
cana-3817	233	7	m.	m.	NOUN
cana-3817	233	8	g.	g.	PROPN
cana-3817	233	9	v.	v.	PROPN
cana-3817	233	10	kumar	kumar	PROPN
cana-3817	233	11	,	,	PUNCT
cana-3817	233	12	u.	u.	PROPN
cana-3817	233	13	m.	m.	PROPN
cana-3817	233	14	ramya	ramya	PROPN
cana-3817	233	15	,	,	PUNCT
cana-3817	233	16	r.	r.	PROPN
cana-3817	233	17	janagi	janagi	PROPN
cana-3817	233	18	,	,	PUNCT
cana-3817	233	19	m.	m.	NOUN
cana-3817	233	20	ganesan	ganesan	PROPN
cana-3817	233	21	and	and	CCONJ
cana-3817	233	22	s.	s.	PROPN
cana-3817	233	23	deepa	deepa	PROPN
cana-3817	233	24	,	,	PUNCT
cana-3817	233	25	"	"	PUNCT
cana-3817	233	26	recognition	recognition	NOUN
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cana-3817	233	29	data	datum	NOUN
cana-3817	233	30	transmission	transmission	NOUN
cana-3817	233	31	in	in	ADP
cana-3817	233	32	cloud	cloud	NOUN
cana-3817	233	33	platform	platform	NOUN
cana-3817	233	34	using	use	VERB
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cana-3817	233	37	,	,	PUNCT
cana-3817	233	38	"	"	PUNCT
cana-3817	233	39	2024	2024	NUM
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cana-3817	233	41	international	international	ADJ
cana-3817	233	42	conference	conference	NOUN
cana-3817	233	43	on	on	ADP
cana-3817	233	44	applied	apply	VERB
cana-3817	233	45	artificial	artificial	ADJ
cana-3817	233	46	intelligence	intelligence	NOUN
cana-3817	233	47	and	and	CCONJ
cana-3817	233	48	computing	computing	NOUN
cana-3817	233	49	(	(	PUNCT
cana-3817	233	50	icaaic	icaaic	ADJ
cana-3817	233	51	)	)	PUNCT
cana-3817	233	52	,	,	PUNCT
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cana-3817	233	54	,	,	PUNCT
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cana-3817	233	56	.	.	PUNCT
cana-3817	233	57	754	754	NUM
cana-3817	233	58	-	-	SYM
cana-3817	233	59	759	759	NUM
cana-3817	233	60	,	,	PUNCT
cana-3817	233	61	doi	doi	NOUN
cana-3817	233	62	:	:	PUNCT
cana-3817	233	63	https://doi.org/10.1109/icaaic60222.2024.10575038	https://doi.org/10.1109/icaaic60222.2024.10575038	NOUN
cana-3817	233	64	.	.	PUNCT
cana-3817	234	1	[	[	X
cana-3817	234	2	10	10	NUM
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cana-3817	234	4	k	k	PROPN
cana-3817	234	5	v	v	X
cana-3817	234	6	k	k	PROPN
cana-3817	234	7	,	,	PUNCT
cana-3817	234	8	c.	c.	PROPN
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cana-3817	234	18	learning	learning	NOUN
cana-3817	234	19	technique	technique	NOUN
cana-3817	234	20	with	with	ADP
cana-3817	234	21	cryptographic	cryptographic	ADJ
cana-3817	234	22	transformation	transformation	NOUN
cana-3817	234	23	for	for	ADP
cana-3817	234	24	enhancing	enhance	VERB
cana-3817	234	25	data	datum	NOUN
cana-3817	234	26	security	security	NOUN
cana-3817	234	27	in	in	ADP
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cana-3817	234	30	”	"	PUNCT
cana-3817	234	31	.	.	PUNCT
cana-3817	235	1	multimed	multime	VERB
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cana-3817	235	3	appl	appl	NOUN
cana-3817	235	4	(	(	PUNCT
cana-3817	235	5	2024	2024	NUM
cana-3817	235	6	)	)	PUNCT
cana-3817	235	7	.	.	PUNCT
cana-3817	236	1	https://doi.org/10.1007/s11042-02418903-8	https://doi.org/10.1007/s11042-02418903-8	NOUN
cana-3817	236	2	.	.	PUNCT
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cana-3817	237	2	11	11	NUM
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cana-3817	237	5	,	,	PUNCT
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cana-3817	238	1	“	"	PUNCT
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cana-3817	238	5	security	security	NOUN
cana-3817	238	6	phishing	phishe	VERB
cana-3817	238	7	detection	detection	NOUN
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cana-3817	238	9	using	use	VERB
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cana-3817	238	13	”	"	PUNCT
cana-3817	238	14	.	.	PUNCT
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cana-3817	239	4	,	,	PUNCT
cana-3817	239	5	3819–3828	3819–3828	NUM
cana-3817	239	6	(	(	PUNCT
cana-3817	239	7	2022	2022	NUM
cana-3817	239	8	)	)	PUNCT
cana-3817	239	9	.	.	PUNCT
cana-3817	240	1	https://doi.org/10.1007/s10586-022-03604-4	https://doi.org/10.1007/s10586-022-03604-4	NUM
cana-3817	240	2	.	.	PUNCT
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cana-3817	241	2	12	12	NUM
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cana-3817	241	7	(	(	PUNCT
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cana-3817	241	9	)	)	PUNCT
cana-3817	241	10	.	.	PUNCT
cana-3817	242	1	“	"	PUNCT
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cana-3817	242	8	a	a	DET
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cana-3817	242	13	.	.	PUNCT
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cana-3817	243	10	,	,	PUNCT
cana-3817	243	11	pp	pp	ADJ
cana-3817	243	12	.	.	PUNCT
cana-3817	244	1	105–113	105–113	NUM
cana-3817	244	2	.	.	PUNCT
cana-3817	245	1	https://doi.org/10.1080/13678868.2022.2049108	https://doi.org/10.1080/13678868.2022.2049108	PROPN
cana-3817	245	2	.	.	PUNCT
cana-3817	246	1	[	[	X
cana-3817	246	2	13	13	NUM
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cana-3817	246	15	of	of	ADP
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cana-3817	246	23	research	research	NOUN
cana-3817	246	24	and	and	CCONJ
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cana-3817	246	27	,	,	PUNCT
cana-3817	246	28	volume	volume	NOUN
cana-3817	246	29	6	6	NUM
cana-3817	246	30	issue	issue	NOUN
cana-3817	246	31	11	11	NUM
cana-3817	246	32	,	,	PUNCT
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cana-3817	246	34	:	:	PUNCT
cana-3817	246	35	2456	2456	NUM
cana-3817	246	36	-	-	SYM
cana-3817	246	37	8880	8880	NUM
cana-3817	246	38	.	.	PUNCT
cana-3817	247	1	[	[	X
cana-3817	247	2	14	14	NUM
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cana-3817	247	8	,	,	PUNCT
cana-3817	247	9	"	"	PUNCT
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cana-3817	247	11	computing	computing	NOUN
cana-3817	247	12	technologies	technology	NOUN
cana-3817	247	13	transforming	transform	VERB
cana-3817	247	14	public	public	ADJ
cana-3817	247	15	sector	sector	NOUN
cana-3817	247	16	remote	remote	ADJ
cana-3817	247	17	work	work	NOUN
cana-3817	247	18	standards	standard	NOUN
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cana-3817	247	22	,	,	PUNCT
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cana-3817	247	25	of	of	ADP
cana-3817	247	26	creative	creative	ADJ
cana-3817	247	27	research	research	NOUN
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cana-3817	247	31	)	)	PUNCT
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cana-3817	247	34	:	:	PUNCT
cana-3817	247	35	2320	2320	NUM
cana-3817	247	36	-	-	SYM
cana-3817	247	37	2882	2882	NUM
cana-3817	247	38	,	,	PUNCT
cana-3817	247	39	volume.11	volume.11	NOUN
cana-3817	247	40	,	,	PUNCT
cana-3817	247	41	issue	issue	NOUN
cana-3817	247	42	4	4	NUM
cana-3817	247	43	,	,	PUNCT
cana-3817	247	44	pp.b944	pp.b944	PROPN
cana-3817	247	45	-	-	PUNCT
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cana-3817	247	47	,	,	PUNCT
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cana-3817	247	49	2023	2023	NUM
cana-3817	247	50	,	,	PUNCT
cana-3817	247	51	doi	doi	NOUN
cana-3817	247	52	:	:	PUNCT
cana-3817	247	53	https://www.ijcrt.org/papers/ijcrt2304	https://www.ijcrt.org/papers/ijcrt2304	PROPN
cana-3817	247	54	.	.	PROPN
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cana-3817	247	76	:	:	PUNCT
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cana-3817	247	78	-	-	PUNCT
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cana-3817	248	4	)	)	PUNCT
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cana-3817	249	1	[	[	X
cana-3817	249	2	15	15	NUM
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cana-3817	249	16	discussions	discussion	NOUN
cana-3817	249	17	and	and	CCONJ
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cana-3817	249	30	,	,	PUNCT
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cana-3817	249	32	.	.	PUNCT
cana-3817	250	1	doi	doi	NOUN
cana-3817	250	2	:	:	PUNCT
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cana-3817	250	4	.	.	PUNCT
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cana-3817	251	8	zero	zero	NUM
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cana-3817	251	14	:	:	PUNCT
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cana-3817	251	29	(	(	PUNCT
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cana-3817	251	35	,	,	PUNCT
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cana-3817	251	38	,	,	PUNCT
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cana-3817	251	43	.	.	PUNCT
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cana-3817	252	2	17	17	NUM
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cana-3817	252	31	”	"	PUNCT
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cana-3817	254	5	.	.	PUNCT
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cana-3817	255	2	,	,	PUNCT
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cana-3817	255	4	(	(	PUNCT
cana-3817	255	5	2024).doi	2024).doi	NOUN
cana-3817	255	6	:	:	PUNCT
cana-3817	255	7	https://doi.org/10.1007/s10207-024-00863-7	https://doi.org/10.1007/s10207-024-00863-7	NUM
cana-3817	255	8	.	.	PUNCT
cana-3817	256	1	[	[	X
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cana-3817	257	22	”	"	PUNCT
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cana-3817	257	37	-	-	SYM
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cana-3817	257	39	.	.	PUNCT
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cana-3817	259	12	a.	a.	PROPN
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cana-3817	259	32	on	on	ADP
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cana-3817	259	35	and	and	CCONJ
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cana-3817	259	37	(	(	PUNCT
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cana-3817	259	42	,	,	PUNCT
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cana-3817	259	44	.	.	PUNCT
cana-3817	260	1	1	1	NUM
cana-3817	260	2	-	-	SYM
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cana-3817	260	4	,	,	PUNCT
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cana-3817	260	6	:	:	PUNCT
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cana-3817	260	8	.	.	PUNCT
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cana-3817	261	10	,	,	PUNCT
cana-3817	261	11	“	"	PUNCT
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cana-3817	261	42	,	,	PUNCT
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cana-3817	261	44	,	,	PUNCT
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cana-3817	262	1	https://www.sciencedirect.com/journal/journal-of-network-and-computer-applications/vol/160/suppl/c	https://www.sciencedirect.com/journal/journal-of-network-and-computer-applications/vol/160/suppl/c	PROPN
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