id	sid	tid	token	lemma	pos
cana-4547	1	1	communications	communication	NOUN
cana-4547	1	2	on	on	ADP
cana-4547	1	3	applied	apply	VERB
cana-4547	1	4	nonlinear	nonlinear	ADJ
cana-4547	1	5	analysis	analysis	NOUN
cana-4547	1	6	issn	issn	NOUN
cana-4547	1	7	:	:	PUNCT
cana-4547	1	8	1074	1074	NUM
cana-4547	1	9	-	-	PUNCT
cana-4547	1	10	133x	133x	NUM
cana-4547	1	11	vol	vol	NOUN
cana-4547	1	12	32	32	NUM
cana-4547	1	13	no	no	NOUN
cana-4547	1	14	.	.	PUNCT
cana-4547	2	1	9s	9s	NUM
cana-4547	2	2	(	(	PUNCT
cana-4547	2	3	2025	2025	NUM
cana-4547	2	4	)	)	PUNCT
cana-4547	2	5	2658	2658	NUM
cana-4547	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	2	7	design	design	NOUN
cana-4547	2	8	of	of	ADP
cana-4547	2	9	an	an	DET
cana-4547	2	10	adaptive	adaptive	ADJ
cana-4547	2	11	and	and	CCONJ
cana-4547	2	12	iterative	iterative	VERB
cana-4547	2	13	multi	multi	ADJ
cana-4547	2	14	-	-	ADJ
cana-4547	2	15	modal	modal	ADJ
cana-4547	2	16	transformer	transformer	NOUN
cana-4547	2	17	-	-	PUNCT
cana-4547	2	18	based	base	VERB
cana-4547	2	19	biometric	biometric	ADJ
cana-4547	2	20	security	security	NOUN
cana-4547	2	21	framework	framework	NOUN
cana-4547	2	22	for	for	ADP
cana-4547	2	23	robust	robust	ADJ
cana-4547	2	24	authentication	authentication	NOUN
cana-4547	2	25	and	and	CCONJ
cana-4547	2	26	spoof	spoof	ADJ
cana-4547	2	27	detection	detection	NOUN
cana-4547	2	28	janardhan	janardhan	ADP
cana-4547	2	29	komarolu1,2	komarolu1,2	PROPN
cana-4547	2	30	,	,	PUNCT
cana-4547	2	31	c.nagaraju3	c.nagaraju3	VERB
cana-4547	2	32	1research	1research	NUM
cana-4547	2	33	scholar	scholar	NOUN
cana-4547	2	34	,	,	PUNCT
cana-4547	2	35	department	department	NOUN
cana-4547	2	36	of	of	ADP
cana-4547	2	37	cse	cse	PROPN
cana-4547	2	38	,	,	PUNCT
cana-4547	2	39	ysr	ysr	PROPN
cana-4547	2	40	engineering	engineering	PROPN
cana-4547	2	41	college	college	PROPN
cana-4547	2	42	of	of	ADP
cana-4547	2	43	yvu	yvu	PROPN
cana-4547	2	44	,	,	PUNCT
cana-4547	2	45	proddatur	proddatur	PROPN
cana-4547	2	46	,	,	PUNCT
cana-4547	2	47	india	india	PROPN
cana-4547	2	48	2assistant	2assistant	PROPN
cana-4547	2	49	professor	professor	PROPN
cana-4547	2	50	,	,	PUNCT
cana-4547	2	51	rajeev	rajeev	PROPN
cana-4547	2	52	gandhi	gandhi	PROPN
cana-4547	2	53	memorial	memorial	PROPN
cana-4547	2	54	college	college	PROPN
cana-4547	2	55	of	of	ADP
cana-4547	2	56	engineering	engineering	NOUN
cana-4547	2	57	and	and	CCONJ
cana-4547	2	58	technology	technology	NOUN
cana-4547	2	59	,	,	PUNCT
cana-4547	2	60	nandyal	nandyal	PROPN
cana-4547	2	61	,	,	PUNCT
cana-4547	2	62	india	india	PROPN
cana-4547	2	63	3professor	3professor	NUM
cana-4547	2	64	,	,	PUNCT
cana-4547	2	65	department	department	NOUN
cana-4547	2	66	of	of	ADP
cana-4547	2	67	cse	cse	PROPN
cana-4547	2	68	,	,	PUNCT
cana-4547	2	69	ysr	ysr	PROPN
cana-4547	2	70	engineering	engineering	PROPN
cana-4547	2	71	college	college	PROPN
cana-4547	2	72	of	of	ADP
cana-4547	2	73	yvu	yvu	PROPN
cana-4547	2	74	,	,	PUNCT
cana-4547	2	75	proddatur	proddatur	PROPN
cana-4547	2	76	,	,	PUNCT
cana-4547	2	77	india	india	PROPN
cana-4547	2	78	email	email	NOUN
cana-4547	2	79	:	:	PUNCT
cana-4547	2	80	1,2jkradhan7@gmail.com,3cnrcse@yahoo.com	1,2jkradhan7@gmail.com,3cnrcse@yahoo.com	NUM
cana-4547	2	81	article	article	NOUN
cana-4547	2	82	history	history	NOUN
cana-4547	2	83	:	:	PUNCT
cana-4547	2	84	received	receive	VERB
cana-4547	2	85	:	:	PUNCT
cana-4547	2	86	12	12	NUM
cana-4547	2	87	-	-	SYM
cana-4547	2	88	01	01	NUM
cana-4547	2	89	-	-	PUNCT
cana-4547	2	90	2025	2025	NUM
cana-4547	2	91	revised	revise	VERB
cana-4547	2	92	:	:	PUNCT
cana-4547	2	93	15	15	NUM
cana-4547	2	94	-	-	NUM
cana-4547	2	95	02	02	NUM
cana-4547	2	96	-	-	PUNCT
cana-4547	2	97	2025	2025	NUM
cana-4547	2	98	accepted	accept	VERB
cana-4547	2	99	:	:	PUNCT
cana-4547	2	100	01	01	NUM
cana-4547	2	101	-	-	SYM
cana-4547	2	102	03	03	NUM
cana-4547	2	103	-	-	PUNCT
cana-4547	2	104	2025	2025	NUM
cana-4547	2	105	abstract	abstract	NOUN
cana-4547	2	106	:	:	PUNCT
cana-4547	2	107	as	as	ADP
cana-4547	2	108	more	more	ADJ
cana-4547	2	109	people	people	NOUN
cana-4547	2	110	rely	rely	VERB
cana-4547	2	111	on	on	ADP
cana-4547	2	112	biometrics	biometric	NOUN
cana-4547	2	113	in	in	ADP
cana-4547	2	114	conjunction	conjunction	NOUN
cana-4547	2	115	with	with	ADP
cana-4547	2	116	traditional	traditional	ADJ
cana-4547	2	117	identity	identity	NOUN
cana-4547	2	118	authentication	authentication	NOUN
cana-4547	2	119	systems	system	NOUN
cana-4547	2	120	,	,	PUNCT
cana-4547	2	121	attacks	attack	NOUN
cana-4547	2	122	like	like	ADP
cana-4547	2	123	deepfakes	deepfake	NOUN
cana-4547	2	124	and	and	CCONJ
cana-4547	2	125	adversarial	adversarial	ADJ
cana-4547	2	126	techniques	technique	NOUN
cana-4547	2	127	have	have	AUX
cana-4547	2	128	emerged	emerge	VERB
cana-4547	2	129	as	as	ADP
cana-4547	2	130	prominent	prominent	ADJ
cana-4547	2	131	threats	threat	NOUN
cana-4547	2	132	in	in	ADP
cana-4547	2	133	several	several	ADJ
cana-4547	2	134	identity	identity	NOUN
cana-4547	2	135	verification	verification	NOUN
cana-4547	2	136	systems	system	NOUN
cana-4547	2	137	.	.	PUNCT
cana-4547	3	1	traditional	traditional	ADJ
cana-4547	3	2	unimodal	unimodal	ADJ
cana-4547	3	3	and	and	CCONJ
cana-4547	3	4	even	even	ADV
cana-4547	3	5	static	static	ADJ
cana-4547	3	6	multimodal	multimodal	ADJ
cana-4547	3	7	schemes	scheme	NOUN
cana-4547	3	8	are	be	AUX
cana-4547	3	9	generally	generally	ADV
cana-4547	3	10	found	find	VERB
cana-4547	3	11	ineffective	ineffective	ADJ
cana-4547	3	12	in	in	ADP
cana-4547	3	13	the	the	DET
cana-4547	3	14	face	face	NOUN
cana-4547	3	15	of	of	ADP
cana-4547	3	16	new	new	ADJ
cana-4547	3	17	attacks	attack	NOUN
cana-4547	3	18	because	because	SCONJ
cana-4547	3	19	unimodality	unimodality	NOUN
cana-4547	3	20	leaves	leave	VERB
cana-4547	3	21	them	they	PRON
cana-4547	3	22	vulnerable	vulnerable	ADJ
cana-4547	3	23	to	to	ADP
cana-4547	3	24	different	different	ADJ
cana-4547	3	25	adversarial	adversarial	ADJ
cana-4547	3	26	manipulations	manipulation	NOUN
cana-4547	3	27	,	,	PUNCT
cana-4547	3	28	can	can	AUX
cana-4547	3	29	not	not	PART
cana-4547	3	30	verify	verify	VERB
cana-4547	3	31	continuously	continuously	ADV
cana-4547	3	32	during	during	ADP
cana-4547	3	33	the	the	DET
cana-4547	3	34	use	use	NOUN
cana-4547	3	35	phase	phase	NOUN
cana-4547	3	36	,	,	PUNCT
cana-4547	3	37	and	and	CCONJ
cana-4547	3	38	lack	lack	VERB
cana-4547	3	39	adaptability	adaptability	NOUN
cana-4547	3	40	to	to	PART
cana-4547	3	41	change	change	VERB
cana-4547	3	42	.	.	PUNCT
cana-4547	4	1	therefore	therefore	ADV
cana-4547	4	2	,	,	PUNCT
cana-4547	4	3	in	in	ADP
cana-4547	4	4	light	light	NOUN
cana-4547	4	5	of	of	ADP
cana-4547	4	6	these	these	DET
cana-4547	4	7	limitations	limitation	NOUN
cana-4547	4	8	,	,	PUNCT
cana-4547	4	9	we	we	PRON
cana-4547	4	10	present	present	VERB
cana-4547	4	11	an	an	DET
cana-4547	4	12	adaptive	adaptive	ADJ
cana-4547	4	13	,	,	PUNCT
cana-4547	4	14	robust	robust	ADJ
cana-4547	4	15	,	,	PUNCT
cana-4547	4	16	and	and	CCONJ
cana-4547	4	17	privacy	privacy	NOUN
cana-4547	4	18	-	-	PUNCT
cana-4547	4	19	preserving	preserve	VERB
cana-4547	4	20	biometric	biometric	ADJ
cana-4547	4	21	security	security	NOUN
cana-4547	4	22	framework	framework	NOUN
cana-4547	4	23	based	base	VERB
cana-4547	4	24	on	on	ADP
cana-4547	4	25	a	a	DET
cana-4547	4	26	combination	combination	NOUN
cana-4547	4	27	of	of	ADP
cana-4547	4	28	various	various	ADJ
cana-4547	4	29	transformer	transformer	NOUN
cana-4547	4	30	-	-	PUNCT
cana-4547	4	31	based	base	VERB
cana-4547	4	32	models	model	NOUN
cana-4547	4	33	with	with	ADP
cana-4547	4	34	ensemble	ensemble	ADJ
cana-4547	4	35	learning	learning	NOUN
cana-4547	4	36	strategies	strategy	NOUN
cana-4547	4	37	.	.	PUNCT
cana-4547	5	1	our	our	PRON
cana-4547	5	2	work	work	NOUN
cana-4547	5	3	,	,	PUNCT
cana-4547	5	4	the	the	DET
cana-4547	5	5	adaptive	adaptive	ADJ
cana-4547	5	6	multi	multi	ADJ
cana-4547	5	7	-	-	ADJ
cana-4547	5	8	modal	modal	ADJ
cana-4547	5	9	feature	feature	NOUN
cana-4547	5	10	fusion	fusion	NOUN
cana-4547	5	11	transformer	transformer	NOUN
cana-4547	5	12	(	(	PUNCT
cana-4547	5	13	amfft	amfft	PROPN
cana-4547	5	14	)	)	PUNCT
cana-4547	5	15	,	,	PUNCT
cana-4547	5	16	dynamically	dynamically	ADV
cana-4547	5	17	integrates	integrate	VERB
cana-4547	5	18	attention	attention	NOUN
cana-4547	5	19	-	-	PUNCT
cana-4547	5	20	based	base	VERB
cana-4547	5	21	facial	facial	ADJ
cana-4547	5	22	,	,	PUNCT
cana-4547	5	23	voice	voice	NOUN
cana-4547	5	24	,	,	PUNCT
cana-4547	5	25	and	and	CCONJ
cana-4547	5	26	fingerprint	fingerprint	NOUN
cana-4547	5	27	features	feature	NOUN
cana-4547	5	28	to	to	PART
cana-4547	5	29	optimize	optimize	VERB
cana-4547	5	30	security	security	NOUN
cana-4547	5	31	through	through	ADP
cana-4547	5	32	a	a	DET
cana-4547	5	33	context	context	NOUN
cana-4547	5	34	-	-	PUNCT
cana-4547	5	35	oriented	orient	VERB
cana-4547	5	36	fusion	fusion	NOUN
cana-4547	5	37	application	application	NOUN
cana-4547	5	38	.	.	PUNCT
cana-4547	6	1	to	to	PART
cana-4547	6	2	assure	assure	VERB
cana-4547	6	3	enhanced	enhance	VERB
cana-4547	6	4	privacy	privacy	NOUN
cana-4547	6	5	and	and	CCONJ
cana-4547	6	6	robustness	robustness	NOUN
cana-4547	6	7	,	,	PUNCT
cana-4547	6	8	we	we	PRON
cana-4547	6	9	will	will	AUX
cana-4547	6	10	also	also	ADV
cana-4547	6	11	integrate	integrate	VERB
cana-4547	6	12	differentially	differentially	ADV
cana-4547	6	13	private	private	ADJ
cana-4547	6	14	adversarial	adversarial	ADJ
cana-4547	6	15	training	training	NOUN
cana-4547	6	16	(	(	PUNCT
cana-4547	6	17	dpat	dpat	NOUN
cana-4547	6	18	)	)	PUNCT
cana-4547	6	19	,	,	PUNCT
cana-4547	6	20	interested	interested	ADJ
cana-4547	6	21	in	in	ADP
cana-4547	6	22	lessening	lessen	VERB
cana-4547	6	23	the	the	DET
cana-4547	6	24	effect	effect	NOUN
cana-4547	6	25	of	of	ADP
cana-4547	6	26	model	model	NOUN
cana-4547	6	27	inversion	inversion	NOUN
cana-4547	6	28	and	and	CCONJ
cana-4547	6	29	spoofing	spoof	VERB
cana-4547	6	30	using	use	VERB
cana-4547	6	31	adversarial	adversarial	ADJ
cana-4547	6	32	techniques	technique	NOUN
cana-4547	6	33	.	.	PUNCT
cana-4547	7	1	therefore	therefore	ADV
cana-4547	7	2	,	,	PUNCT
cana-4547	7	3	our	our	PRON
cana-4547	7	4	spoof	spoof	NOUN
cana-4547	7	5	-	-	PUNCT
cana-4547	7	6	resistant	resistant	ADJ
cana-4547	7	7	multimodal	multimodal	NOUN
cana-4547	7	8	attention	attention	NOUN
cana-4547	7	9	transformer	transformer	NOUN
cana-4547	7	10	(	(	PUNCT
cana-4547	7	11	sma	sma	NOUN
cana-4547	7	12	-	-	PUNCT
cana-4547	7	13	transformer	transformer	NOUN
cana-4547	7	14	)	)	PUNCT
cana-4547	7	15	detects	detect	NOUN
cana-4547	7	16	deepfake	deepfake	NOUN
cana-4547	7	17	and	and	CCONJ
cana-4547	7	18	synthetic	synthetic	ADJ
cana-4547	7	19	attacks	attack	NOUN
cana-4547	7	20	by	by	ADP
cana-4547	7	21	consistency	consistency	NOUN
cana-4547	7	22	between	between	ADP
cana-4547	7	23	modalities	modality	NOUN
cana-4547	7	24	,	,	PUNCT
cana-4547	7	25	ensuring	ensure	VERB
cana-4547	7	26	the	the	DET
cana-4547	7	27	co	co	NOUN
cana-4547	7	28	-	-	NOUN
cana-4547	7	29	operation	operation	NOUN
cana-4547	7	30	of	of	ADP
cana-4547	7	31	biometric	biometric	ADJ
cana-4547	7	32	signals	signal	NOUN
cana-4547	7	33	.	.	PUNCT
cana-4547	8	1	in	in	ADP
cana-4547	8	2	addition	addition	NOUN
cana-4547	8	3	to	to	ADP
cana-4547	8	4	that	that	PRON
cana-4547	8	5	,	,	PUNCT
cana-4547	8	6	the	the	DET
cana-4547	8	7	ensemble	ensemble	ADJ
cana-4547	8	8	learning	learning	NOUN
cana-4547	8	9	with	with	ADP
cana-4547	8	10	zero	zero	NUM
cana-4547	8	11	-	-	PUNCT
cana-4547	8	12	trust	trust	NOUN
cana-4547	8	13	verification	verification	NOUN
cana-4547	8	14	model	model	NOUN
cana-4547	8	15	(	(	PUNCT
cana-4547	8	16	ezvmodel	ezvmodel	PROPN
cana-4547	8	17	)	)	PUNCT
cana-4547	8	18	is	be	AUX
cana-4547	8	19	responsible	responsible	ADJ
cana-4547	8	20	for	for	ADP
cana-4547	8	21	continuous	continuous	ADJ
cana-4547	8	22	authentication	authentication	NOUN
cana-4547	8	23	by	by	ADP
cana-4547	8	24	real	real	ADJ
cana-4547	8	25	-	-	PUNCT
cana-4547	8	26	time	time	NOUN
cana-4547	8	27	analysis	analysis	NOUN
cana-4547	8	28	of	of	ADP
cana-4547	8	29	biometrics	biometric	NOUN
cana-4547	8	30	scores	score	NOUN
cana-4547	8	31	and	and	CCONJ
cana-4547	8	32	behavior	behavior	NOUN
cana-4547	8	33	traits	trait	NOUN
cana-4547	8	34	.	.	PUNCT
cana-4547	9	1	finally	finally	ADV
cana-4547	9	2	,	,	PUNCT
cana-4547	9	3	the	the	DET
cana-4547	9	4	real	real	ADJ
cana-4547	9	5	-	-	PUNCT
cana-4547	9	6	time	time	NOUN
cana-4547	9	7	behavioral	behavioral	ADJ
cana-4547	9	8	biometric	biometric	ADJ
cana-4547	9	9	security	security	NOUN
cana-4547	9	10	model	model	NOUN
cana-4547	9	11	(	(	PUNCT
cana-4547	9	12	rbb	rbb	PROPN
cana-4547	9	13	-	-	PUNCT
cana-4547	9	14	sec	sec	PROPN
cana-4547	9	15	)	)	PUNCT
cana-4547	9	16	can	can	AUX
cana-4547	9	17	detect	detect	VERB
cana-4547	9	18	advanced	advanced	ADJ
cana-4547	9	19	impersonation	impersonation	NOUN
cana-4547	9	20	scenarios	scenario	NOUN
cana-4547	9	21	based	base	VERB
cana-4547	9	22	on	on	ADP
cana-4547	9	23	micro	micro	NOUN
cana-4547	9	24	-	-	NOUN
cana-4547	9	25	expressions	expression	NOUN
cana-4547	9	26	,	,	PUNCT
cana-4547	9	27	keystroke	keystroke	NOUN
cana-4547	9	28	dynamics	dynamic	NOUN
cana-4547	9	29	,	,	PUNCT
cana-4547	9	30	and	and	CCONJ
cana-4547	9	31	voice	voice	NOUN
cana-4547	9	32	stress	stress	NOUN
cana-4547	9	33	patterns	pattern	NOUN
cana-4547	9	34	.	.	PUNCT
cana-4547	10	1	in	in	ADP
cana-4547	10	2	combination	combination	NOUN
cana-4547	10	3	with	with	ADP
cana-4547	10	4	the	the	DET
cana-4547	10	5	above	above	ADJ
cana-4547	10	6	techniques	technique	NOUN
cana-4547	10	7	,	,	PUNCT
cana-4547	10	8	the	the	DET
cana-4547	10	9	proposed	propose	VERB
cana-4547	10	10	framework	framework	NOUN
cana-4547	10	11	guarantees	guarantee	VERB
cana-4547	10	12	a	a	DET
cana-4547	10	13	significant	significant	ADJ
cana-4547	10	14	improvement	improvement	NOUN
cana-4547	10	15	in	in	ADP
cana-4547	10	16	performance	performance	NOUN
cana-4547	10	17	regarding	regard	VERB
cana-4547	10	18	authentication	authentication	NOUN
cana-4547	10	19	accuracy	accuracy	NOUN
cana-4547	10	20	(	(	PUNCT
cana-4547	10	21	≥99.5	≥99.5	X
cana-4547	10	22	%	%	NOUN
cana-4547	10	23	)	)	PUNCT
cana-4547	10	24	,	,	PUNCT
cana-4547	10	25	spoof	spoof	ADJ
cana-4547	10	26	detection	detection	NOUN
cana-4547	10	27	(	(	PUNCT
cana-4547	10	28	≥99.3	≥99.3	NOUN
cana-4547	10	29	%	%	NOUN
cana-4547	10	30	)	)	PUNCT
cana-4547	10	31	,	,	PUNCT
cana-4547	10	32	and	and	CCONJ
cana-4547	10	33	adversarial	adversarial	ADJ
cana-4547	10	34	robustness	robustness	NOUN
cana-4547	10	35	(	(	PUNCT
cana-4547	10	36	≤1.2	≤1.2	NOUN
cana-4547	10	37	%	%	NOUN
cana-4547	10	38	evasion	evasion	NOUN
cana-4547	10	39	rate	rate	NOUN
cana-4547	10	40	)	)	PUNCT
cana-4547	10	41	,	,	PUNCT
cana-4547	10	42	while	while	SCONJ
cana-4547	10	43	maintaining	maintain	VERB
cana-4547	10	44	low	low	ADJ
cana-4547	10	45	false	false	ADJ
cana-4547	10	46	rejection	rejection	NOUN
cana-4547	10	47	rates	rate	NOUN
cana-4547	10	48	(	(	PUNCT
cana-4547	10	49	≤1.5	≤1.5	NOUN
cana-4547	10	50	%	%	NOUN
cana-4547	10	51	)	)	PUNCT
cana-4547	10	52	.	.	PUNCT
cana-4547	11	1	by	by	ADP
cana-4547	11	2	integrating	integrate	VERB
cana-4547	11	3	adaptive	adaptive	ADJ
cana-4547	11	4	biometric	biometric	ADJ
cana-4547	11	5	fusion	fusion	NOUN
cana-4547	11	6	,	,	PUNCT
cana-4547	11	7	deepfake	deepfake	NOUN
cana-4547	11	8	-	-	PUNCT
cana-4547	11	9	resistant	resistant	ADJ
cana-4547	11	10	verification	verification	NOUN
cana-4547	11	11	,	,	PUNCT
cana-4547	11	12	and	and	CCONJ
cana-4547	11	13	zero	zero	NUM
cana-4547	11	14	-	-	PUNCT
cana-4547	11	15	trust	trust	NOUN
cana-4547	11	16	-	-	PUNCT
cana-4547	11	17	based	base	VERB
cana-4547	11	18	continuous	continuous	ADJ
cana-4547	11	19	authentication	authentication	NOUN
cana-4547	11	20	,	,	PUNCT
cana-4547	11	21	this	this	DET
cana-4547	11	22	work	work	NOUN
cana-4547	11	23	lays	lay	VERB
cana-4547	11	24	an	an	DET
cana-4547	11	25	advanced	advanced	ADJ
cana-4547	11	26	security	security	NOUN
cana-4547	11	27	paradigm	paradigm	NOUN
cana-4547	11	28	against	against	ADP
cana-4547	11	29	emerging	emerge	VERB
cana-4547	11	30	cyber	cyber	NOUN
cana-4547	11	31	threats	threat	NOUN
cana-4547	11	32	for	for	ADP
cana-4547	11	33	biometric	biometric	ADJ
cana-4547	11	34	security	security	NOUN
cana-4547	11	35	systems	system	NOUN
cana-4547	11	36	.	.	PUNCT
cana-4547	12	1	keywords	keyword	NOUN
cana-4547	12	2	:	:	PUNCT
cana-4547	12	3	biometric	biometric	ADJ
cana-4547	12	4	security	security	NOUN
cana-4547	12	5	,	,	PUNCT
cana-4547	12	6	deepfake	deepfake	NOUN
cana-4547	12	7	detection	detection	NOUN
cana-4547	12	8	,	,	PUNCT
cana-4547	12	9	adversarial	adversarial	ADJ
cana-4547	12	10	robustness	robustness	NOUN
cana-4547	12	11	,	,	PUNCT
cana-4547	12	12	zero	zero	NUM
cana-4547	12	13	-	-	PUNCT
cana-4547	12	14	trust	trust	NOUN
cana-4547	12	15	authentication	authentication	NOUN
cana-4547	12	16	,	,	PUNCT
cana-4547	12	17	multimodal	multimodal	NOUN
cana-4547	12	18	fusions	fusion	NOUN
cana-4547	12	19	.	.	PUNCT
cana-4547	13	1	communications	communication	NOUN
cana-4547	13	2	on	on	ADP
cana-4547	13	3	applied	apply	VERB
cana-4547	13	4	nonlinear	nonlinear	ADJ
cana-4547	13	5	analysis	analysis	NOUN
cana-4547	13	6	issn	issn	NOUN
cana-4547	13	7	:	:	PUNCT
cana-4547	13	8	1074	1074	NUM
cana-4547	13	9	-	-	PUNCT
cana-4547	13	10	133x	133x	NUM
cana-4547	13	11	vol	vol	NOUN
cana-4547	13	12	32	32	NUM
cana-4547	13	13	no	no	NOUN
cana-4547	13	14	.	.	PUNCT
cana-4547	14	1	9s	9s	NUM
cana-4547	14	2	(	(	PUNCT
cana-4547	14	3	2025	2025	NUM
cana-4547	14	4	)	)	PUNCT
cana-4547	14	5	2659	2659	NUM
cana-4547	14	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	14	7	1	1	X
cana-4547	14	8	.	.	PUNCT
cana-4547	15	1	introduction	introduction	NOUN
cana-4547	15	2	biometric	biometric	ADJ
cana-4547	15	3	authentication	authentication	NOUN
cana-4547	15	4	has	have	AUX
cana-4547	15	5	,	,	PUNCT
cana-4547	15	6	as	as	SCONJ
cana-4547	15	7	expected	expect	VERB
cana-4547	15	8	,	,	PUNCT
cana-4547	15	9	become	become	VERB
cana-4547	15	10	the	the	DET
cana-4547	15	11	new	new	ADJ
cana-4547	15	12	unexceptionable	unexceptionable	ADJ
cana-4547	15	13	part	part	NOUN
cana-4547	15	14	of	of	ADP
cana-4547	15	15	the	the	DET
cana-4547	15	16	modern	modern	ADJ
cana-4547	15	17	security	security	NOUN
cana-4547	15	18	framework	framework	NOUN
cana-4547	15	19	.	.	PUNCT
cana-4547	16	1	it	it	PRON
cana-4547	16	2	is	be	AUX
cana-4547	16	3	supposed	suppose	VERB
cana-4547	16	4	to	to	PART
cana-4547	16	5	deliver	deliver	VERB
cana-4547	16	6	very	very	ADV
cana-4547	16	7	high	high	ADJ
cana-4547	16	8	accuracy	accuracy	NOUN
cana-4547	16	9	and	and	CCONJ
cana-4547	16	10	comfort	comfort	NOUN
cana-4547	16	11	during	during	ADP
cana-4547	16	12	authentication	authentication	NOUN
cana-4547	16	13	as	as	ADP
cana-4547	16	14	compared	compare	VERB
cana-4547	16	15	to	to	ADP
cana-4547	16	16	traditional	traditional	ADJ
cana-4547	16	17	systems	system	NOUN
cana-4547	16	18	based	base	VERB
cana-4547	16	19	on	on	ADP
cana-4547	16	20	passwords	password	NOUN
cana-4547	16	21	.	.	PUNCT
cana-4547	17	1	unfortunately	unfortunately	ADV
cana-4547	17	2	,	,	PUNCT
cana-4547	17	3	so	so	ADV
cana-4547	17	4	long	long	ADV
cana-4547	17	5	,	,	PUNCT
cana-4547	17	6	biometric	biometric	ADJ
cana-4547	17	7	technology	technology	NOUN
cana-4547	17	8	moves	move	VERB
cana-4547	17	9	a	a	DET
cana-4547	17	10	step	step	NOUN
cana-4547	17	11	ahead	ahead	ADV
cana-4547	17	12	and	and	CCONJ
cana-4547	17	13	widely	widely	ADV
cana-4547	17	14	uses	use	VERB
cana-4547	17	15	similar	similar	ADJ
cana-4547	17	16	targets	target	NOUN
cana-4547	17	17	:	:	PUNCT
cana-4547	17	18	crafted	craft	VERB
cana-4547	17	19	sophistication	sophistication	NOUN
cana-4547	17	20	of	of	ADP
cana-4547	17	21	adversarial	adversarial	ADJ
cana-4547	17	22	attacks	attack	NOUN
cana-4547	17	23	,	,	PUNCT
cana-4547	17	24	added	add	VERB
cana-4547	17	25	with	with	ADP
cana-4547	17	26	deepfake	deepfake	NOUN
cana-4547	17	27	camouflage	camouflage	NOUN
cana-4547	17	28	and	and	CCONJ
cana-4547	17	29	finally	finally	ADV
cana-4547	17	30	,	,	PUNCT
cana-4547	17	31	advanced	advanced	ADJ
cana-4547	17	32	spoofing	spoofing	NOUN
cana-4547	17	33	techniques	technique	NOUN
cana-4547	17	34	for	for	ADP
cana-4547	17	35	getting	get	VERB
cana-4547	17	36	into	into	ADP
cana-4547	17	37	their	their	PRON
cana-4547	17	38	primary	primary	ADJ
cana-4547	17	39	functions	function	NOUN
cana-4547	17	40	.	.	PUNCT
cana-4547	18	1	the	the	DET
cana-4547	18	2	most	most	ADV
cana-4547	18	3	usually	usually	ADV
cana-4547	18	4	applied	apply	VERB
cana-4547	18	5	forms	form	NOUN
cana-4547	18	6	of	of	ADP
cana-4547	18	7	traditional	traditional	ADJ
cana-4547	18	8	unimodal	unimodal	ADJ
cana-4547	18	9	authentication	authentication	NOUN
cana-4547	18	10	systems	system	NOUN
cana-4547	18	11	[	[	X
cana-4547	18	12	1	1	NUM
cana-4547	18	13	,	,	PUNCT
cana-4547	18	14	2	2	NUM
cana-4547	18	15	,	,	PUNCT
cana-4547	18	16	3	3	NUM
cana-4547	18	17	]	]	PUNCT
cana-4547	18	18	,	,	PUNCT
cana-4547	18	19	which	which	PRON
cana-4547	18	20	rely	rely	VERB
cana-4547	18	21	on	on	ADP
cana-4547	18	22	either	either	DET
cana-4547	18	23	fingerprint	fingerprint	NOUN
cana-4547	18	24	,	,	PUNCT
cana-4547	18	25	grey	grey	NOUN
cana-4547	18	26	,	,	PUNCT
cana-4547	18	27	or	or	CCONJ
cana-4547	18	28	voice	voice	NOUN
cana-4547	18	29	,	,	PUNCT
cana-4547	18	30	may	may	AUX
cana-4547	18	31	still	still	ADV
cana-4547	18	32	have	have	VERB
cana-4547	18	33	the	the	DET
cana-4547	18	34	possibility	possibility	NOUN
cana-4547	18	35	of	of	ADP
cana-4547	18	36	being	be	AUX
cana-4547	18	37	compromised	compromise	VERB
cana-4547	18	38	through	through	ADP
cana-4547	18	39	presentation	presentation	NOUN
cana-4547	18	40	attacks	attack	NOUN
cana-4547	18	41	and	and	CCONJ
cana-4547	18	42	adversarial	adversarial	ADJ
cana-4547	18	43	perturbations	perturbation	NOUN
cana-4547	18	44	.	.	PUNCT
cana-4547	19	1	on	on	ADP
cana-4547	19	2	the	the	DET
cana-4547	19	3	contrary	contrary	NOUN
cana-4547	19	4	,	,	PUNCT
cana-4547	19	5	a	a	DET
cana-4547	19	6	multi	multi	ADJ
cana-4547	19	7	-	-	ADJ
cana-4547	19	8	modal	modal	ADJ
cana-4547	19	9	biometric	biometric	ADJ
cana-4547	19	10	system	system	NOUN
cana-4547	19	11	would	would	AUX
cana-4547	19	12	be	be	AUX
cana-4547	19	13	much	much	ADV
cana-4547	19	14	more	more	ADV
cana-4547	19	15	resilient	resilient	ADJ
cana-4547	19	16	against	against	ADP
cana-4547	19	17	spoofing	spoof	VERB
cana-4547	19	18	attacks	attack	NOUN
cana-4547	19	19	by	by	ADP
cana-4547	19	20	virtue	virtue	NOUN
cana-4547	19	21	of	of	ADP
cana-4547	19	22	the	the	DET
cana-4547	19	23	several	several	ADJ
cana-4547	19	24	approaches	approach	NOUN
cana-4547	19	25	available	available	ADJ
cana-4547	19	26	for	for	ADP
cana-4547	19	27	identity	identity	NOUN
cana-4547	19	28	verification	verification	NOUN
cana-4547	19	29	.	.	PUNCT
cana-4547	20	1	however	however	ADV
cana-4547	20	2	,	,	PUNCT
cana-4547	20	3	most	most	ADJ
cana-4547	20	4	of	of	ADP
cana-4547	20	5	the	the	DET
cana-4547	20	6	approaches	approach	NOUN
cana-4547	20	7	currently	currently	ADV
cana-4547	20	8	in	in	ADP
cana-4547	20	9	place	place	NOUN
cana-4547	20	10	for	for	ADP
cana-4547	20	11	these	these	DET
cana-4547	20	12	multimodal	multimodal	NOUN
cana-4547	20	13	systems	system	NOUN
cana-4547	20	14	have	have	AUX
cana-4547	20	15	relied	rely	VERB
cana-4547	20	16	on	on	ADP
cana-4547	20	17	static	static	ADJ
cana-4547	20	18	fusion	fusion	NOUN
cana-4547	20	19	procedures	procedure	NOUN
cana-4547	20	20	that	that	PRON
cana-4547	20	21	do	do	AUX
cana-4547	20	22	not	not	PART
cana-4547	20	23	reconfigure	reconfigure	VERB
cana-4547	20	24	themselves	themselves	PRON
cana-4547	20	25	against	against	ADP
cana-4547	20	26	dynamic	dynamic	ADJ
cana-4547	20	27	threats	threat	NOUN
cana-4547	20	28	of	of	ADP
cana-4547	20	29	security	security	NOUN
cana-4547	20	30	or	or	CCONJ
cana-4547	20	31	against	against	ADP
cana-4547	20	32	variations	variation	NOUN
cana-4547	20	33	in	in	ADP
cana-4547	20	34	the	the	DET
cana-4547	20	35	environment	environment	NOUN
cana-4547	20	36	during	during	ADP
cana-4547	20	37	process	process	NOUN
cana-4547	20	38	flow	flow	NOUN
cana-4547	20	39	.	.	PUNCT
cana-4547	21	1	additionally	additionally	ADV
cana-4547	21	2	,	,	PUNCT
cana-4547	21	3	privacy	privacy	NOUN
cana-4547	21	4	is	be	AUX
cana-4547	21	5	a	a	DET
cana-4547	21	6	very	very	ADV
cana-4547	21	7	rare	rare	ADJ
cana-4547	21	8	feature	feature	NOUN
cana-4547	21	9	in	in	ADP
cana-4547	21	10	most	most	ADJ
cana-4547	21	11	multimodal	multimodal	ADJ
cana-4547	21	12	fusion	fusion	NOUN
cana-4547	21	13	schemes	scheme	NOUN
cana-4547	21	14	,	,	PUNCT
cana-4547	21	15	exposing	expose	VERB
cana-4547	21	16	such	such	ADJ
cana-4547	21	17	systems	system	NOUN
cana-4547	21	18	to	to	PART
cana-4547	21	19	attack	attack	VERB
cana-4547	21	20	inversions	inversion	NOUN
cana-4547	21	21	that	that	PRON
cana-4547	21	22	reconstruct	reconstruct	VERB
cana-4547	21	23	biometric	biometric	ADJ
cana-4547	21	24	templates	template	NOUN
cana-4547	21	25	from	from	ADP
cana-4547	21	26	stored	store	VERB
cana-4547	21	27	embeddings	embedding	NOUN
cana-4547	21	28	.	.	PUNCT
cana-4547	22	1	to	to	PART
cana-4547	22	2	address	address	VERB
cana-4547	22	3	these	these	PRON
cana-4547	22	4	,	,	PUNCT
cana-4547	22	5	the	the	DET
cana-4547	22	6	current	current	ADJ
cana-4547	22	7	paper	paper	NOUN
cana-4547	22	8	introduces	introduce	VERB
cana-4547	22	9	a	a	DET
cana-4547	22	10	novel	novel	ADJ
cana-4547	22	11	adaptive	adaptive	ADJ
cana-4547	22	12	multi	multi	ADJ
cana-4547	22	13	-	-	ADJ
cana-4547	22	14	modal	modal	ADJ
cana-4547	22	15	feature	feature	NOUN
cana-4547	22	16	fusion	fusion	NOUN
cana-4547	22	17	transformer	transformer	NOUN
cana-4547	22	18	(	(	PUNCT
cana-4547	22	19	amfft	amfft	PROPN
cana-4547	22	20	)	)	PUNCT
cana-4547	22	21	to	to	PART
cana-4547	22	22	integrate	integrate	VERB
cana-4547	22	23	facial	facial	ADJ
cana-4547	22	24	,	,	PUNCT
cana-4547	22	25	voice	voice	NOUN
cana-4547	22	26	,	,	PUNCT
cana-4547	22	27	and	and	CCONJ
cana-4547	22	28	fingerprint	fingerprint	NOUN
cana-4547	22	29	embeddings	embedding	NOUN
cana-4547	22	30	in	in	ADP
cana-4547	22	31	real	real	ADJ
cana-4547	22	32	-	-	PUNCT
cana-4547	22	33	time	time	NOUN
cana-4547	22	34	using	use	VERB
cana-4547	22	35	an	an	DET
cana-4547	22	36	attention	attention	NOUN
cana-4547	22	37	-	-	PUNCT
cana-4547	22	38	based	base	VERB
cana-4547	22	39	fusion	fusion	NOUN
cana-4547	22	40	method	method	NOUN
cana-4547	22	41	.	.	PUNCT
cana-4547	23	1	unlike	unlike	ADP
cana-4547	23	2	the	the	DET
cana-4547	23	3	regular	regular	ADJ
cana-4547	23	4	fixed	fix	VERB
cana-4547	23	5	-	-	PUNCT
cana-4547	23	6	stage	stage	NOUN
cana-4547	23	7	fusion	fusion	NOUN
cana-4547	23	8	mechanisms	mechanism	NOUN
cana-4547	23	9	,	,	PUNCT
cana-4547	23	10	amfft	amfft	PROPN
cana-4547	23	11	employs	employ	VERB
cana-4547	23	12	a	a	DET
cana-4547	23	13	context	context	NOUN
cana-4547	23	14	-	-	PUNCT
cana-4547	23	15	aware	aware	ADJ
cana-4547	23	16	gating	gating	NOUN
cana-4547	23	17	module	module	NOUN
cana-4547	23	18	that	that	PRON
cana-4547	23	19	optimally	optimally	ADV
cana-4547	23	20	chooses	choose	VERB
cana-4547	23	21	among	among	ADP
cana-4547	23	22	early	early	ADJ
cana-4547	23	23	,	,	PUNCT
cana-4547	23	24	intermediate	intermediate	ADJ
cana-4547	23	25	,	,	PUNCT
cana-4547	23	26	or	or	CCONJ
cana-4547	23	27	late	late	ADJ
cana-4547	23	28	fusion	fusion	NOUN
cana-4547	23	29	depending	depend	VERB
cana-4547	23	30	on	on	ADP
cana-4547	23	31	real	real	ADJ
cana-4547	23	32	-	-	PUNCT
cana-4547	23	33	time	time	NOUN
cana-4547	23	34	safety	safety	NOUN
cana-4547	23	35	conditions	condition	NOUN
cana-4547	23	36	.	.	PUNCT
cana-4547	24	1	to	to	PART
cana-4547	24	2	bolster	bolster	VERB
cana-4547	24	3	privacy	privacy	NOUN
cana-4547	24	4	and	and	CCONJ
cana-4547	24	5	robustness	robustness	NOUN
cana-4547	24	6	against	against	ADP
cana-4547	24	7	adversaries	adversary	NOUN
cana-4547	24	8	,	,	PUNCT
cana-4547	24	9	the	the	DET
cana-4547	24	10	dpat	dpat	NOUN
cana-4547	24	11	module	module	NOUN
cana-4547	24	12	is	be	AUX
cana-4547	24	13	infused	infuse	VERB
cana-4547	24	14	along	along	ADP
cana-4547	24	15	with	with	ADP
cana-4547	24	16	the	the	DET
cana-4547	24	17	differentially	differentially	ADV
cana-4547	24	18	private	private	ADJ
cana-4547	24	19	stochastic	stochastic	ADJ
cana-4547	24	20	gradient	gradient	ADJ
cana-4547	24	21	descent	descent	NOUN
cana-4547	24	22	(	(	PUNCT
cana-4547	24	23	dp	dp	NOUN
cana-4547	24	24	-	-	PUNCT
cana-4547	24	25	sgd	sgd	ADJ
cana-4547	24	26	)	)	PUNCT
cana-4547	24	27	algorithm	algorithm	NOUN
cana-4547	24	28	,	,	PUNCT
cana-4547	24	29	which	which	PRON
cana-4547	24	30	lowers	lower	VERB
cana-4547	24	31	biometric	biometric	ADJ
cana-4547	24	32	data	datum	NOUN
cana-4547	24	33	leakages	leakage	NOUN
cana-4547	24	34	and	and	CCONJ
cana-4547	24	35	strengthens	strengthen	VERB
cana-4547	24	36	the	the	DET
cana-4547	24	37	model	model	NOUN
cana-4547	24	38	against	against	ADP
cana-4547	24	39	some	some	DET
cana-4547	24	40	adversarial	adversarial	ADJ
cana-4547	24	41	attacks	attack	NOUN
cana-4547	24	42	such	such	ADJ
cana-4547	24	43	as	as	ADP
cana-4547	24	44	pgd	pgd	PROPN
cana-4547	24	45	,	,	PUNCT
cana-4547	24	46	fgsm	fgsm	NOUN
cana-4547	24	47	,	,	PUNCT
cana-4547	24	48	and	and	CCONJ
cana-4547	24	49	even	even	ADV
cana-4547	24	50	gan	gin	VERB
cana-4547	24	51	-	-	PUNCT
cana-4547	24	52	based	base	VERB
cana-4547	24	53	synthetic	synthetic	ADJ
cana-4547	24	54	inputs	input	NOUN
cana-4547	24	55	.	.	PUNCT
cana-4547	25	1	furthermore	furthermore	ADV
cana-4547	25	2	,	,	PUNCT
cana-4547	25	3	the	the	DET
cana-4547	25	4	spoof	spoof	NOUN
cana-4547	25	5	-	-	PUNCT
cana-4547	25	6	resistant	resistant	ADJ
cana-4547	25	7	multimodal	multimodal	NOUN
cana-4547	25	8	attention	attention	NOUN
cana-4547	25	9	transformer	transformer	NOUN
cana-4547	25	10	(	(	PUNCT
cana-4547	25	11	sma	sma	NOUN
cana-4547	25	12	-	-	PUNCT
cana-4547	25	13	transformer	transformer	NOUN
cana-4547	25	14	)	)	PUNCT
cana-4547	25	15	has	have	AUX
cana-4547	25	16	thus	thus	ADV
cana-4547	25	17	been	be	AUX
cana-4547	25	18	modeled	model	VERB
cana-4547	25	19	to	to	PART
cana-4547	25	20	analyze	analyze	VERB
cana-4547	25	21	individual	individual	ADJ
cana-4547	25	22	modality	modality	NOUN
cana-4547	25	23	-	-	PUNCT
cana-4547	25	24	based	base	VERB
cana-4547	25	25	inconsistencies	inconsistency	NOUN
cana-4547	25	26	in	in	ADP
cana-4547	25	27	spatio	spatio	PROPN
cana-4547	25	28	-	-	PUNCT
cana-4547	25	29	temporal	temporal	ADJ
cana-4547	25	30	deep	deep	ADJ
cana-4547	25	31	learning	learning	NOUN
cana-4547	25	32	techniques	technique	NOUN
cana-4547	25	33	and	and	CCONJ
cana-4547	25	34	determine	determine	VERB
cana-4547	25	35	such	such	ADJ
cana-4547	25	36	biometry	biometry	NOUN
cana-4547	25	37	whose	whose	DET
cana-4547	25	38	credibility	credibility	NOUN
cana-4547	25	39	would	would	AUX
cana-4547	25	40	be	be	AUX
cana-4547	25	41	questioned	question	VERB
cana-4547	25	42	for	for	ADP
cana-4547	25	43	their	their	PRON
cana-4547	25	44	authenticity	authenticity	NOUN
cana-4547	25	45	.	.	PUNCT
cana-4547	26	1	further	far	ADV
cana-4547	26	2	,	,	PUNCT
cana-4547	26	3	the	the	DET
cana-4547	26	4	sma	sma	NOUN
cana-4547	26	5	-	-	PUNCT
cana-4547	26	6	transformer	transformer	NOUN
cana-4547	26	7	is	be	AUX
cana-4547	26	8	made	make	VERB
cana-4547	26	9	to	to	PART
cana-4547	26	10	source	source	VERB
cana-4547	26	11	data	datum	NOUN
cana-4547	26	12	from	from	ADP
cana-4547	26	13	optical	optical	ADJ
cana-4547	26	14	flow	flow	NOUN
cana-4547	26	15	cnn	cnn	PROPN
cana-4547	26	16	usage	usage	NOUN
cana-4547	26	17	for	for	ADP
cana-4547	26	18	facial	facial	ADJ
cana-4547	26	19	deepfake	deepfake	NOUN
cana-4547	26	20	detection	detection	NOUN
cana-4547	26	21	;	;	PUNCT
cana-4547	26	22	mfcc	mfcc	NOUN
cana-4547	26	23	-	-	PUNCT
cana-4547	26	24	lstm	lstm	NOUN
cana-4547	26	25	networks	network	NOUN
cana-4547	26	26	for	for	ADP
cana-4547	26	27	voice	voice	NOUN
cana-4547	26	28	liveness	liveness	NOUN
cana-4547	26	29	assessment	assessment	NOUN
cana-4547	26	30	;	;	PUNCT
cana-4547	26	31	and	and	CCONJ
cana-4547	26	32	3d	3d	NUM
cana-4547	26	33	cnns	cnn	NOUN
cana-4547	26	34	for	for	ADP
cana-4547	26	35	skin	skin	NOUN
cana-4547	26	36	distortion	distortion	NOUN
cana-4547	26	37	in	in	ADP
cana-4547	26	38	fingerprints	fingerprint	NOUN
cana-4547	26	39	.	.	PUNCT
cana-4547	27	1	besides	besides	SCONJ
cana-4547	27	2	this	this	PRON
cana-4547	27	3	is	be	AUX
cana-4547	27	4	introduced	introduce	VERB
cana-4547	27	5	,	,	PUNCT
cana-4547	27	6	a	a	DET
cana-4547	27	7	zero	zero	NUM
cana-4547	27	8	-	-	PUNCT
cana-4547	27	9	trust	trust	NOUN
cana-4547	27	10	verification	verification	NOUN
cana-4547	27	11	model	model	NOUN
cana-4547	27	12	(	(	PUNCT
cana-4547	27	13	ezvmodel	ezvmodel	PROPN
cana-4547	27	14	)	)	PUNCT
cana-4547	27	15	.	.	PUNCT
cana-4547	28	1	this	this	PRON
cana-4547	28	2	ensures	ensure	VERB
cana-4547	28	3	continuous	continuous	ADJ
cana-4547	28	4	authentication	authentication	NOUN
cana-4547	28	5	by	by	ADP
cana-4547	28	6	aggregating	aggregate	VERB
cana-4547	28	7	biometric	biometric	ADJ
cana-4547	28	8	verification	verification	NOUN
cana-4547	28	9	scores	score	NOUN
cana-4547	28	10	with	with	ADP
cana-4547	28	11	behavioral	behavioral	ADJ
cana-4547	28	12	patterns	pattern	NOUN
cana-4547	28	13	such	such	ADJ
cana-4547	28	14	as	as	ADP
cana-4547	28	15	typing	type	VERB
cana-4547	28	16	dynamics	dynamic	NOUN
cana-4547	28	17	,	,	PUNCT
cana-4547	28	18	gait	gait	NOUN
cana-4547	28	19	,	,	PUNCT
cana-4547	28	20	and	and	CCONJ
cana-4547	28	21	mouse	mouse	NOUN
cana-4547	28	22	movement	movement	NOUN
cana-4547	28	23	.	.	PUNCT
cana-4547	29	1	if	if	SCONJ
cana-4547	29	2	any	any	DET
cana-4547	29	3	anomaly	anomaly	NOUN
cana-4547	29	4	is	be	AUX
cana-4547	29	5	detected	detect	VERB
cana-4547	29	6	,	,	PUNCT
cana-4547	29	7	an	an	DET
cana-4547	29	8	adaptive	adaptive	ADJ
cana-4547	29	9	reauthentication	reauthentication	NOUN
cana-4547	29	10	process	process	NOUN
cana-4547	29	11	is	be	AUX
cana-4547	29	12	triggered	trigger	VERB
cana-4547	29	13	according	accord	VERB
cana-4547	29	14	to	to	ADP
cana-4547	29	15	the	the	DET
cana-4547	29	16	risk	risk	NOUN
cana-4547	29	17	levels	level	NOUN
cana-4547	29	18	assessed	assess	VERB
cana-4547	29	19	.	.	PUNCT
cana-4547	30	1	along	along	ADP
cana-4547	30	2	with	with	ADP
cana-4547	30	3	the	the	DET
cana-4547	30	4	above	above	ADJ
cana-4547	30	5	mechanisms	mechanism	NOUN
cana-4547	30	6	comes	come	VERB
cana-4547	30	7	real	real	ADJ
cana-4547	30	8	-	-	PUNCT
cana-4547	30	9	time	time	NOUN
cana-4547	30	10	behavioral	behavioral	ADJ
cana-4547	30	11	biometric	biometric	ADJ
cana-4547	30	12	security	security	NOUN
cana-4547	30	13	model	model	NOUN
cana-4547	30	14	(	(	PUNCT
cana-4547	30	15	rbb	rbb	PROPN
cana-4547	30	16	-	-	PUNCT
cana-4547	30	17	sec	sec	PROPN
cana-4547	30	18	)	)	PUNCT
cana-4547	30	19	,	,	PUNCT
cana-4547	30	20	which	which	PRON
cana-4547	30	21	improves	improve	VERB
cana-4547	30	22	impersonation	impersonation	NOUN
cana-4547	30	23	detection	detection	NOUN
cana-4547	30	24	through	through	ADP
cana-4547	30	25	continuous	continuous	ADJ
cana-4547	30	26	monitoring	monitoring	NOUN
cana-4547	30	27	of	of	ADP
cana-4547	30	28	micro	micro	NOUN
cana-4547	30	29	-	-	NOUN
cana-4547	30	30	expressions	expression	NOUN
cana-4547	30	31	,	,	PUNCT
cana-4547	30	32	voice	voice	NOUN
cana-4547	30	33	stress	stress	NOUN
cana-4547	30	34	signals	signal	NOUN
cana-4547	30	35	,	,	PUNCT
cana-4547	30	36	and	and	CCONJ
cana-4547	30	37	keystroke	keystroke	PROPN
cana-4547	30	38	dynamics	dynamic	NOUN
cana-4547	30	39	.	.	PUNCT
cana-4547	31	1	the	the	DET
cana-4547	31	2	advanced	advanced	ADJ
cana-4547	31	3	techniques	technique	NOUN
cana-4547	31	4	integrated	integrate	VERB
cana-4547	31	5	into	into	ADP
cana-4547	31	6	the	the	DET
cana-4547	31	7	proposed	propose	VERB
cana-4547	31	8	framework	framework	NOUN
cana-4547	31	9	thus	thus	ADV
cana-4547	31	10	realize	realize	VERB
cana-4547	31	11	a	a	DET
cana-4547	31	12	state	state	NOUN
cana-4547	31	13	-	-	PUNCT
cana-4547	31	14	of	of	ADP
cana-4547	31	15	-	-	PUNCT
cana-4547	31	16	the	the	DET
cana-4547	31	17	-	-	PUNCT
cana-4547	31	18	art	art	NOUN
cana-4547	31	19	authentication	authentication	NOUN
cana-4547	31	20	accuracy	accuracy	NOUN
cana-4547	31	21	(	(	PUNCT
cana-4547	31	22	≥99.5	≥99.5	X
cana-4547	31	23	%	%	NOUN
cana-4547	31	24	)	)	PUNCT
cana-4547	31	25	,	,	PUNCT
cana-4547	31	26	robustness	robustness	NOUN
cana-4547	31	27	under	under	ADP
cana-4547	31	28	deepfake	deepfake	NOUN
cana-4547	31	29	detection	detection	NOUN
cana-4547	31	30	(	(	PUNCT
cana-4547	31	31	≥99.3	≥99.3	NOUN
cana-4547	31	32	%	%	NOUN
cana-4547	31	33	but	but	CCONJ
cana-4547	31	34	≤1.5	≤1.5	NOUN
cana-4547	31	35	%	%	NOUN
cana-4547	31	36	false	false	ADJ
cana-4547	31	37	rejection	rejection	NOUN
cana-4547	31	38	rates	rate	NOUN
cana-4547	31	39	)	)	PUNCT
cana-4547	31	40	.	.	PUNCT
cana-4547	32	1	this	this	DET
cana-4547	32	2	work	work	NOUN
cana-4547	32	3	confirmed	confirm	VERB
cana-4547	32	4	the	the	DET
cana-4547	32	5	paradigm	paradigm	NOUN
cana-4547	32	6	shift	shift	NOUN
cana-4547	32	7	in	in	ADP
cana-4547	32	8	biometric	biometric	ADJ
cana-4547	32	9	security	security	NOUN
cana-4547	32	10	toward	toward	ADP
cana-4547	32	11	adaptive	adaptive	ADJ
cana-4547	32	12	multimodal	multimodal	NOUN
cana-4547	32	13	fusion	fusion	NOUN
cana-4547	32	14	,	,	PUNCT
cana-4547	32	15	excellence	excellence	NOUN
cana-4547	32	16	of	of	ADP
cana-4547	32	17	adversarial	adversarial	ADJ
cana-4547	32	18	defense	defense	NOUN
cana-4547	32	19	mechanisms	mechanism	NOUN
cana-4547	32	20	,	,	PUNCT
cana-4547	32	21	and	and	CCONJ
cana-4547	32	22	continuous	continuous	ADJ
cana-4547	32	23	authentication	authentication	NOUN
cana-4547	32	24	based	base	VERB
cana-4547	32	25	on	on	ADP
cana-4547	32	26	zero	zero	NUM
cana-4547	32	27	trust	trust	NOUN
cana-4547	32	28	to	to	PART
cana-4547	32	29	counter	counter	VERB
cana-4547	32	30	future	future	ADJ
cana-4547	32	31	dynamic	dynamic	ADJ
cana-4547	32	32	cyber	cyber	NOUN
cana-4547	32	33	threats	threat	NOUN
cana-4547	32	34	.	.	PUNCT
cana-4547	33	1	communications	communication	NOUN
cana-4547	33	2	on	on	ADP
cana-4547	33	3	applied	apply	VERB
cana-4547	33	4	nonlinear	nonlinear	ADJ
cana-4547	33	5	analysis	analysis	NOUN
cana-4547	33	6	issn	issn	NOUN
cana-4547	33	7	:	:	PUNCT
cana-4547	33	8	1074	1074	NUM
cana-4547	33	9	-	-	PUNCT
cana-4547	33	10	133x	133x	NUM
cana-4547	33	11	vol	vol	NOUN
cana-4547	33	12	32	32	NUM
cana-4547	33	13	no	no	NOUN
cana-4547	33	14	.	.	PUNCT
cana-4547	34	1	9s	9s	NUM
cana-4547	34	2	(	(	PUNCT
cana-4547	34	3	2025	2025	NUM
cana-4547	34	4	)	)	PUNCT
cana-4547	34	5	2660	2660	NUM
cana-4547	34	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	34	7	1.2	1.2	NUM
cana-4547	34	8	motivation	motivation	NOUN
cana-4547	34	9	&	&	CCONJ
cana-4547	34	10	contribution	contribution	NOUN
cana-4547	34	11	deep	deep	ADJ
cana-4547	34	12	learning	learning	NOUN
cana-4547	34	13	has	have	AUX
cana-4547	34	14	revolutionized	revolutionize	VERB
cana-4547	34	15	biometric	biometric	ADJ
cana-4547	34	16	authentication	authentication	NOUN
cana-4547	34	17	speedily	speedily	ADV
cana-4547	34	18	within	within	ADP
cana-4547	34	19	a	a	DET
cana-4547	34	20	very	very	ADV
cana-4547	34	21	short	short	ADJ
cana-4547	34	22	span	span	NOUN
cana-4547	34	23	of	of	ADP
cana-4547	34	24	time	time	NOUN
cana-4547	34	25	,	,	PUNCT
cana-4547	34	26	but	but	CCONJ
cana-4547	34	27	,	,	PUNCT
cana-4547	34	28	at	at	ADP
cana-4547	34	29	the	the	DET
cana-4547	34	30	same	same	ADJ
cana-4547	34	31	time	time	NOUN
cana-4547	34	32	,	,	PUNCT
cana-4547	34	33	it	it	PRON
cana-4547	34	34	has	have	AUX
cana-4547	34	35	opened	open	VERB
cana-4547	34	36	a	a	DET
cana-4547	34	37	scope	scope	NOUN
cana-4547	34	38	for	for	ADP
cana-4547	34	39	adversarial	adversarial	ADJ
cana-4547	34	40	attacks	attack	NOUN
cana-4547	34	41	and	and	CCONJ
cana-4547	34	42	synthetic	synthetic	ADJ
cana-4547	34	43	identity	identity	NOUN
cana-4547	34	44	attacks	attack	NOUN
cana-4547	34	45	against	against	ADP
cana-4547	34	46	the	the	DET
cana-4547	34	47	biometric	biometric	ADJ
cana-4547	34	48	system	system	NOUN
cana-4547	34	49	.	.	PUNCT
cana-4547	35	1	deepfake	deepfake	NOUN
cana-4547	35	2	technology	technology	NOUN
cana-4547	35	3	has	have	AUX
cana-4547	35	4	improved	improve	VERB
cana-4547	35	5	to	to	ADP
cana-4547	35	6	an	an	DET
cana-4547	35	7	alarming	alarming	ADJ
cana-4547	35	8	degree	degree	NOUN
cana-4547	35	9	of	of	ADP
cana-4547	35	10	photorealism	photorealism	NOUN
cana-4547	35	11	that	that	PRON
cana-4547	35	12	allows	allow	VERB
cana-4547	35	13	attackers	attacker	NOUN
cana-4547	35	14	to	to	PART
cana-4547	35	15	create	create	VERB
cana-4547	35	16	realistic	realistic	ADJ
cana-4547	35	17	photographs	photograph	NOUN
cana-4547	35	18	of	of	ADP
cana-4547	35	19	human	human	ADJ
cana-4547	35	20	faces	face	NOUN
cana-4547	35	21	or	or	CCONJ
cana-4547	35	22	voices	voice	NOUN
cana-4547	35	23	that	that	PRON
cana-4547	35	24	can	can	AUX
cana-4547	35	25	escape	escape	VERB
cana-4547	35	26	the	the	DET
cana-4547	35	27	security	security	NOUN
cana-4547	35	28	mechanisms	mechanism	NOUN
cana-4547	35	29	of	of	ADP
cana-4547	35	30	the	the	DET
cana-4547	35	31	traditional	traditional	ADJ
cana-4547	35	32	biometric	biometric	ADJ
cana-4547	35	33	systems	system	NOUN
cana-4547	35	34	.	.	PUNCT
cana-4547	36	1	these	these	DET
cana-4547	36	2	kinds	kind	NOUN
cana-4547	36	3	of	of	ADP
cana-4547	36	4	adversarial	adversarial	ADJ
cana-4547	36	5	attacks	attack	NOUN
cana-4547	36	6	,	,	PUNCT
cana-4547	36	7	which	which	PRON
cana-4547	36	8	use	use	VERB
cana-4547	36	9	very	very	ADV
cana-4547	36	10	minor	minor	ADJ
cana-4547	36	11	perturbations	perturbation	NOUN
cana-4547	36	12	in	in	ADP
cana-4547	36	13	a	a	DET
cana-4547	36	14	biometric	biometric	ADJ
cana-4547	36	15	sample	sample	NOUN
cana-4547	36	16	,	,	PUNCT
cana-4547	36	17	can	can	AUX
cana-4547	36	18	be	be	AUX
cana-4547	36	19	misclassified	misclassifie	VERB
cana-4547	36	20	by	by	ADP
cana-4547	36	21	deep	deep	ADJ
cana-4547	36	22	learning	learning	NOUN
cana-4547	36	23	models	model	NOUN
cana-4547	36	24	that	that	PRON
cana-4547	36	25	facilitate	facilitate	VERB
cana-4547	36	26	fraud	fraud	NOUN
cana-4547	36	27	and	and	CCONJ
cana-4547	36	28	unauthorized	unauthorized	ADJ
cana-4547	36	29	access	access	NOUN
cana-4547	36	30	.	.	PUNCT
cana-4547	37	1	current	current	ADJ
cana-4547	37	2	biometric	biometric	ADJ
cana-4547	37	3	security	security	NOUN
cana-4547	37	4	frameworks	framework	NOUN
cana-4547	37	5	lack	lack	VERB
cana-4547	37	6	the	the	DET
cana-4547	37	7	flexibility	flexibility	NOUN
cana-4547	37	8	necessary	necessary	ADJ
cana-4547	37	9	to	to	PART
cana-4547	37	10	permit	permit	VERB
cana-4547	37	11	fusion	fusion	NOUN
cana-4547	37	12	strategies	strategy	NOUN
cana-4547	37	13	to	to	PART
cana-4547	37	14	be	be	AUX
cana-4547	37	15	adapted	adapt	VERB
cana-4547	37	16	dynamically	dynamically	ADV
cana-4547	37	17	to	to	ADP
cana-4547	37	18	various	various	ADJ
cana-4547	37	19	threat	threat	NOUN
cana-4547	37	20	conditions	condition	NOUN
cana-4547	37	21	and	and	CCONJ
cana-4547	37	22	are	be	AUX
cana-4547	37	23	,	,	PUNCT
cana-4547	37	24	therefore	therefore	ADV
cana-4547	37	25	,	,	PUNCT
cana-4547	37	26	defunct	defunct	ADJ
cana-4547	37	27	against	against	ADP
cana-4547	37	28	advanced	advanced	ADJ
cana-4547	37	29	attacks	attack	NOUN
cana-4547	37	30	.	.	PUNCT
cana-4547	38	1	most	most	ADJ
cana-4547	38	2	of	of	ADP
cana-4547	38	3	the	the	DET
cana-4547	38	4	systems	system	NOUN
cana-4547	38	5	do	do	AUX
cana-4547	38	6	not	not	PART
cana-4547	38	7	have	have	VERB
cana-4547	38	8	privacy	privacy	NOUN
cana-4547	38	9	-	-	PUNCT
cana-4547	38	10	preserving	preserve	VERB
cana-4547	38	11	properties	property	NOUN
cana-4547	38	12	making	make	VERB
cana-4547	38	13	biometric	biometric	ADJ
cana-4547	38	14	templates	template	NOUN
cana-4547	38	15	vulnerable	vulnerable	ADJ
cana-4547	38	16	to	to	ADP
cana-4547	38	17	leaking	leak	VERB
cana-4547	38	18	and	and	CCONJ
cana-4547	38	19	inversion	inversion	NOUN
cana-4547	38	20	attacks	attack	NOUN
cana-4547	38	21	.	.	PUNCT
cana-4547	39	1	these	these	DET
cana-4547	39	2	research	research	NOUN
cana-4547	39	3	gaps	gap	NOUN
cana-4547	39	4	demonstrate	demonstrate	VERB
cana-4547	39	5	a	a	DET
cana-4547	39	6	pressing	press	VERB
cana-4547	39	7	need	need	NOUN
cana-4547	39	8	for	for	ADP
cana-4547	39	9	an	an	DET
cana-4547	39	10	adaptive	adaptive	ADJ
cana-4547	39	11	,	,	PUNCT
cana-4547	39	12	privacy	privacy	NOUN
cana-4547	39	13	-	-	PUNCT
cana-4547	39	14	preserving	preserve	VERB
cana-4547	39	15	and	and	CCONJ
cana-4547	39	16	anti	anti	ADJ
cana-4547	39	17	-	-	ADJ
cana-4547	39	18	spoof	spoof	ADJ
cana-4547	39	19	biometric	biometric	ADJ
cana-4547	39	20	authentication	authentication	NOUN
cana-4547	39	21	system	system	NOUN
cana-4547	39	22	capable	capable	ADJ
cana-4547	39	23	of	of	ADP
cana-4547	39	24	presenting	present	VERB
cana-4547	39	25	solid	solid	ADJ
cana-4547	39	26	security	security	NOUN
cana-4547	39	27	against	against	ADP
cana-4547	39	28	new	new	ADJ
cana-4547	39	29	forms	form	NOUN
cana-4547	39	30	of	of	ADP
cana-4547	39	31	cyber	cyber	ADJ
cana-4547	39	32	threat	threat	NOUN
cana-4547	39	33	.	.	PUNCT
cana-4547	40	1	to	to	PART
cana-4547	40	2	address	address	VERB
cana-4547	40	3	these	these	DET
cana-4547	40	4	security	security	NOUN
cana-4547	40	5	loopholes	loophole	NOUN
cana-4547	40	6	,	,	PUNCT
cana-4547	40	7	this	this	DET
cana-4547	40	8	paper	paper	NOUN
cana-4547	40	9	proposes	propose	VERB
cana-4547	40	10	an	an	DET
cana-4547	40	11	integrated	integrated	ADJ
cana-4547	40	12	transformer	transformer	NOUN
cana-4547	40	13	-	-	PUNCT
cana-4547	40	14	based	base	VERB
cana-4547	40	15	biometric	biometric	ADJ
cana-4547	40	16	security	security	NOUN
cana-4547	40	17	framework	framework	NOUN
cana-4547	40	18	consisting	consist	VERB
cana-4547	40	19	of	of	ADP
cana-4547	40	20	adaptive	adaptive	ADJ
cana-4547	40	21	multimodal	multimodal	NOUN
cana-4547	40	22	fusion	fusion	NOUN
cana-4547	40	23	,	,	PUNCT
cana-4547	40	24	adversarial	adversarial	ADJ
cana-4547	40	25	training	training	NOUN
cana-4547	40	26	,	,	PUNCT
cana-4547	40	27	spoofydeepfake	spoofydeepfake	NOUN
cana-4547	40	28	detection	detection	NOUN
cana-4547	40	29	,	,	PUNCT
cana-4547	40	30	and	and	CCONJ
cana-4547	40	31	zero	zero	NUM
cana-4547	40	32	-	-	PUNCT
cana-4547	40	33	trust	trust	NOUN
cana-4547	40	34	authentication	authentication	NOUN
cana-4547	40	35	.	.	PUNCT
cana-4547	41	1	the	the	DET
cana-4547	41	2	salient	salient	ADJ
cana-4547	41	3	contributions	contribution	NOUN
cana-4547	41	4	of	of	ADP
cana-4547	41	5	this	this	DET
cana-4547	41	6	work	work	NOUN
cana-4547	41	7	are	be	AUX
cana-4547	41	8	amfft	amfft	ADJ
cana-4547	41	9	:	:	PUNCT
cana-4547	41	10	a	a	DET
cana-4547	41	11	transformer	transformer	NOUN
cana-4547	41	12	-	-	PUNCT
cana-4547	41	13	based	base	VERB
cana-4547	41	14	feature	feature	NOUN
cana-4547	41	15	fusion	fusion	NOUN
cana-4547	41	16	model	model	NOUN
cana-4547	41	17	that	that	PRON
cana-4547	41	18	dynamically	dynamically	ADV
cana-4547	41	19	selects	select	NOUN
cana-4547	41	20	among	among	ADP
cana-4547	41	21	aid	aid	NOUN
cana-4547	41	22	,	,	PUNCT
cana-4547	41	23	intermediate	intermediate	ADJ
cana-4547	41	24	,	,	PUNCT
cana-4547	41	25	and	and	CCONJ
cana-4547	41	26	late	late	ADJ
cana-4547	41	27	fusion	fusion	NOUN
cana-4547	41	28	depending	depend	VERB
cana-4547	41	29	on	on	ADP
cana-4547	41	30	security	security	NOUN
cana-4547	41	31	conditions	condition	NOUN
cana-4547	41	32	,	,	PUNCT
cana-4547	41	33	improving	improve	VERB
cana-4547	41	34	sturdiness	sturdiness	NOUN
cana-4547	41	35	against	against	ADP
cana-4547	41	36	biometric	biometric	ADJ
cana-4547	41	37	fraud	fraud	NOUN
cana-4547	41	38	.	.	PUNCT
cana-4547	42	1	dpat	dpat	NOUN
cana-4547	42	2	:	:	PUNCT
cana-4547	42	3	a	a	DET
cana-4547	42	4	differentially	differentially	ADV
cana-4547	42	5	private	private	ADJ
cana-4547	42	6	adversarial	adversarial	ADJ
cana-4547	42	7	training	training	NOUN
cana-4547	42	8	mechanism	mechanism	NOUN
cana-4547	42	9	that	that	PRON
cana-4547	42	10	protects	protect	VERB
cana-4547	42	11	against	against	ADP
cana-4547	42	12	adversarial	adversarial	ADJ
cana-4547	42	13	manipulations	manipulation	NOUN
cana-4547	42	14	and	and	CCONJ
cana-4547	42	15	keeps	keep	VERB
cana-4547	42	16	biometric	biometric	ADJ
cana-4547	42	17	templates	template	NOUN
cana-4547	42	18	from	from	ADP
cana-4547	42	19	being	be	AUX
cana-4547	42	20	exposed	expose	VERB
cana-4547	42	21	to	to	ADP
cana-4547	42	22	privacy	privacy	NOUN
cana-4547	42	23	leaks	leak	NOUN
cana-4547	42	24	.	.	PUNCT
cana-4547	43	1	sma	sma	NOUN
cana-4547	43	2	-	-	PUNCT
cana-4547	43	3	transformer	transformer	NOUN
cana-4547	43	4	:	:	PUNCT
cana-4547	43	5	a	a	DET
cana-4547	43	6	deepfake	deepfake	NOUN
cana-4547	43	7	detection	detection	NOUN
cana-4547	43	8	model	model	NOUN
cana-4547	43	9	that	that	PRON
cana-4547	43	10	is	be	AUX
cana-4547	43	11	resistant	resistant	ADJ
cana-4547	43	12	to	to	ADP
cana-4547	43	13	spoofing	spoof	VERB
cana-4547	43	14	,	,	PUNCT
cana-4547	43	15	which	which	PRON
cana-4547	43	16	incorporates	incorporate	VERB
cana-4547	43	17	spatio	spatio	ADJ
cana-4547	43	18	-	-	PUNCT
cana-4547	43	19	temporal	temporal	ADJ
cana-4547	43	20	learning	learning	NOUN
cana-4547	43	21	and	and	CCONJ
cana-4547	43	22	crossmodal	crossmodal	ADJ
cana-4547	43	23	correlation	correlation	NOUN
cana-4547	43	24	analysis	analysis	NOUN
cana-4547	43	25	to	to	PART
cana-4547	43	26	discover	discover	VERB
cana-4547	43	27	the	the	DET
cana-4547	43	28	inconsistencies	inconsistency	NOUN
cana-4547	43	29	found	find	VERB
cana-4547	43	30	in	in	ADP
cana-4547	43	31	samples	sample	NOUN
cana-4547	43	32	of	of	ADP
cana-4547	43	33	biometric	biometric	ADJ
cana-4547	43	34	data	datum	NOUN
cana-4547	43	35	.	.	PUNCT
cana-4547	44	1	ezvmodel	ezvmodel	PROPN
cana-4547	44	2	:	:	PUNCT
cana-4547	44	3	a	a	DET
cana-4547	44	4	zero	zero	NUM
cana-4547	44	5	-	-	PUNCT
cana-4547	44	6	trust	trust	NOUN
cana-4547	44	7	verification	verification	NOUN
cana-4547	44	8	mechanism	mechanism	NOUN
cana-4547	44	9	that	that	PRON
cana-4547	44	10	constantly	constantly	ADV
cana-4547	44	11	checks	check	VERB
cana-4547	44	12	authentication	authentication	NOUN
cana-4547	44	13	session	session	NOUN
cana-4547	44	14	activities	activity	NOUN
cana-4547	44	15	and	and	CCONJ
cana-4547	44	16	must	must	AUX
cana-4547	44	17	also	also	ADV
cana-4547	44	18	meet	meet	VERB
cana-4547	44	19	multi	multi	ADJ
cana-4547	44	20	-	-	ADJ
cana-4547	44	21	factor	factor	NOUN
cana-4547	44	22	reauthentication	reauthentication	NOUN
cana-4547	44	23	conditions	condition	NOUN
cana-4547	44	24	in	in	ADP
cana-4547	44	25	case	case	NOUN
cana-4547	44	26	of	of	ADP
cana-4547	44	27	noticed	noticed	ADJ
cana-4547	44	28	anomalies	anomaly	NOUN
cana-4547	44	29	.	.	PUNCT
cana-4547	45	1	rbb	rbb	PROPN
cana-4547	45	2	-	-	PUNCT
cana-4547	45	3	sec	sec	PROPN
cana-4547	45	4	:	:	PUNCT
cana-4547	45	5	a	a	DET
cana-4547	45	6	behavioral	behavioral	ADJ
cana-4547	45	7	biometric	biometric	ADJ
cana-4547	45	8	security	security	NOUN
cana-4547	45	9	model	model	NOUN
cana-4547	45	10	capable	capable	ADJ
cana-4547	45	11	of	of	ADP
cana-4547	45	12	real	real	ADJ
cana-4547	45	13	-	-	PUNCT
cana-4547	45	14	time	time	NOUN
cana-4547	45	15	user	user	NOUN
cana-4547	45	16	behavior	behavior	NOUN
cana-4547	45	17	analysis	analysis	NOUN
cana-4547	45	18	that	that	PRON
cana-4547	45	19	can	can	AUX
cana-4547	45	20	minimize	minimize	VERB
cana-4547	45	21	sophisticated	sophisticated	ADJ
cana-4547	45	22	impersonation	impersonation	NOUN
cana-4547	45	23	and	and	CCONJ
cana-4547	45	24	social	social	ADJ
cana-4547	45	25	engineering	engineering	NOUN
cana-4547	45	26	attacks	attack	NOUN
cana-4547	45	27	.	.	PUNCT
cana-4547	46	1	thus	thus	ADV
cana-4547	46	2	,	,	PUNCT
cana-4547	46	3	the	the	DET
cana-4547	46	4	integration	integration	NOUN
cana-4547	46	5	of	of	ADP
cana-4547	46	6	all	all	DET
cana-4547	46	7	these	these	DET
cana-4547	46	8	modules	module	NOUN
cana-4547	46	9	creates	create	VERB
cana-4547	46	10	a	a	DET
cana-4547	46	11	paradigm	paradigm	NOUN
cana-4547	46	12	shift	shift	NOUN
cana-4547	46	13	in	in	ADP
cana-4547	46	14	biometric	biometric	ADJ
cana-4547	46	15	security	security	NOUN
cana-4547	46	16	;	;	PUNCT
cana-4547	46	17	high	high	ADJ
cana-4547	46	18	accuracy	accuracy	NOUN
cana-4547	46	19	with	with	ADP
cana-4547	46	20	adversarial	adversarial	ADJ
cana-4547	46	21	robustness	robustness	NOUN
cana-4547	46	22	(	(	PUNCT
cana-4547	46	23	≤1.2	≤1.2	NOUN
cana-4547	46	24	%	%	NOUN
cana-4547	46	25	evasion	evasion	NOUN
cana-4547	46	26	rate	rate	NOUN
cana-4547	46	27	)	)	PUNCT
cana-4547	46	28	and	and	CCONJ
cana-4547	46	29	deepfake	deepfake	VERB
cana-4547	46	30	detection	detection	NOUN
cana-4547	46	31	precision	precision	NOUN
cana-4547	46	32	(	(	PUNCT
cana-4547	46	33	≥99.3	≥99.3	NOUN
cana-4547	46	34	%	%	NOUN
cana-4547	46	35	)	)	PUNCT
cana-4547	46	36	standards	standard	NOUN
cana-4547	46	37	,	,	PUNCT
cana-4547	46	38	yet	yet	ADV
cana-4547	46	39	computationally	computationally	ADV
cana-4547	46	40	efficient	efficient	ADJ
cana-4547	46	41	enough	enough	ADV
cana-4547	46	42	for	for	ADP
cana-4547	46	43	real	real	ADJ
cana-4547	46	44	-	-	PUNCT
cana-4547	46	45	time	time	NOUN
cana-4547	46	46	deployment	deployment	NOUN
cana-4547	46	47	.	.	PUNCT
cana-4547	47	1	the	the	DET
cana-4547	47	2	contributions	contribution	NOUN
cana-4547	47	3	here	here	ADV
cana-4547	47	4	will	will	AUX
cana-4547	47	5	usher	usher	PROPN
cana-4547	47	6	in	in	ADP
cana-4547	47	7	a	a	DET
cana-4547	47	8	new	new	ADJ
cana-4547	47	9	generation	generation	NOUN
cana-4547	47	10	of	of	ADP
cana-4547	47	11	adaptive	adaptive	ADJ
cana-4547	47	12	,	,	PUNCT
cana-4547	47	13	privacy	privacy	NOUN
cana-4547	47	14	-	-	PUNCT
cana-4547	47	15	preserving	preserving	ADJ
cana-4547	47	16	,	,	PUNCT
cana-4547	47	17	and	and	CCONJ
cana-4547	47	18	robust	robust	ADJ
cana-4547	47	19	biometric	biometric	ADJ
cana-4547	47	20	authentication	authentication	NOUN
cana-4547	47	21	systems	system	NOUN
cana-4547	47	22	in	in	ADP
cana-4547	47	23	high	high	ADJ
cana-4547	47	24	-	-	PUNCT
cana-4547	47	25	security	security	NOUN
cana-4547	47	26	applications	application	NOUN
cana-4547	47	27	.	.	PUNCT
cana-4547	48	1	2	2	X
cana-4547	48	2	.	.	X
cana-4547	48	3	review	review	NOUN
cana-4547	48	4	of	of	ADP
cana-4547	48	5	existing	exist	VERB
cana-4547	48	6	models	model	NOUN
cana-4547	48	7	used	use	VERB
cana-4547	48	8	for	for	ADP
cana-4547	48	9	authentication	authentication	NOUN
cana-4547	48	10	analysis	analysis	NOUN
cana-4547	48	11	in	in	ADP
cana-4547	48	12	actuality	actuality	NOUN
cana-4547	48	13	,	,	PUNCT
cana-4547	48	14	the	the	DET
cana-4547	48	15	effect	effect	NOUN
cana-4547	48	16	of	of	ADP
cana-4547	48	17	innovation	innovation	NOUN
cana-4547	48	18	in	in	ADP
cana-4547	48	19	deep	deep	ADJ
cana-4547	48	20	learning	learning	NOUN
cana-4547	48	21	,	,	PUNCT
cana-4547	48	22	machine	machine	NOUN
cana-4547	48	23	learning	learning	NOUN
cana-4547	48	24	,	,	PUNCT
cana-4547	48	25	and	and	CCONJ
cana-4547	48	26	cryptography	cryptography	NOUN
cana-4547	48	27	in	in	ADP
cana-4547	48	28	authentication	authentication	NOUN
cana-4547	48	29	protocols	protocol	NOUN
cana-4547	48	30	,	,	PUNCT
cana-4547	48	31	along	along	ADP
cana-4547	48	32	with	with	ADP
cana-4547	48	33	blockchain	blockchain	PROPN
cana-4547	48	34	-	-	PUNCT
cana-4547	48	35	based	base	VERB
cana-4547	48	36	security	security	NOUN
cana-4547	48	37	systems	system	NOUN
cana-4547	48	38	,	,	PUNCT
cana-4547	48	39	has	have	AUX
cana-4547	48	40	improved	improve	VERB
cana-4547	48	41	biometric	biometric	ADJ
cana-4547	48	42	authentication	authentication	NOUN
cana-4547	48	43	along	along	ADP
cana-4547	48	44	with	with	ADP
cana-4547	48	45	cybersecurity	cybersecurity	NOUN
cana-4547	48	46	measures	measure	NOUN
cana-4547	48	47	as	as	SCONJ
cana-4547	48	48	they	they	PRON
cana-4547	48	49	innovatively	innovatively	ADV
cana-4547	48	50	keep	keep	VERB
cana-4547	48	51	transforming	transform	VERB
cana-4547	48	52	biometric	biometric	ADJ
cana-4547	48	53	authentication	authentication	NOUN
cana-4547	48	54	.	.	PUNCT
cana-4547	49	1	in	in	ADP
cana-4547	49	2	the	the	DET
cana-4547	49	3	last	last	ADJ
cana-4547	49	4	few	few	ADJ
cana-4547	49	5	decades	decade	NOUN
cana-4547	49	6	,	,	PUNCT
cana-4547	49	7	a	a	DET
cana-4547	49	8	lot	lot	NOUN
cana-4547	49	9	of	of	ADP
cana-4547	49	10	effort	effort	NOUN
cana-4547	49	11	has	have	AUX
cana-4547	49	12	been	be	AUX
cana-4547	49	13	put	put	VERB
cana-4547	49	14	into	into	ADP
cana-4547	49	15	research	research	NOUN
cana-4547	49	16	for	for	ADP
cana-4547	49	17	improved	improved	ADJ
cana-4547	49	18	authentication	authentication	NOUN
cana-4547	49	19	accuracy	accuracy	NOUN
cana-4547	49	20	,	,	PUNCT
cana-4547	49	21	adversarial	adversarial	ADJ
cana-4547	49	22	risk	risk	NOUN
cana-4547	49	23	minimization	minimization	NOUN
cana-4547	49	24	,	,	PUNCT
cana-4547	49	25	and	and	CCONJ
cana-4547	49	26	enhanced	enhance	VERB
cana-4547	49	27	security	security	NOUN
cana-4547	49	28	frameworks	framework	NOUN
cana-4547	49	29	in	in	ADP
cana-4547	49	30	cloud	cloud	ADJ
cana-4547	49	31	,	,	PUNCT
cana-4547	49	32	iot	iot	NOUN
cana-4547	49	33	,	,	PUNCT
cana-4547	49	34	and	and	CCONJ
cana-4547	49	35	network	network	NOUN
cana-4547	49	36	settings	setting	NOUN
cana-4547	49	37	.	.	PUNCT
cana-4547	50	1	a	a	DET
cana-4547	50	2	detailed	detailed	ADJ
cana-4547	50	3	review	review	NOUN
cana-4547	50	4	of	of	ADP
cana-4547	50	5	the	the	DET
cana-4547	50	6	25	25	NUM
cana-4547	50	7	most	most	ADV
cana-4547	50	8	significant	significant	ADJ
cana-4547	50	9	studies	study	NOUN
cana-4547	50	10	here	here	ADV
cana-4547	50	11	gives	give	VERB
cana-4547	50	12	a	a	DET
cana-4547	50	13	temporal	temporal	ADJ
cana-4547	50	14	understanding	understanding	NOUN
cana-4547	50	15	of	of	ADP
cana-4547	50	16	what	what	PRON
cana-4547	50	17	advancements	advancement	NOUN
cana-4547	50	18	have	have	AUX
cana-4547	50	19	taken	take	VERB
cana-4547	50	20	place	place	NOUN
cana-4547	50	21	in	in	ADP
cana-4547	50	22	these	these	DET
cana-4547	50	23	fields	field	NOUN
cana-4547	50	24	,	,	PUNCT
cana-4547	50	25	covering	cover	VERB
cana-4547	50	26	everything	everything	PRON
cana-4547	50	27	from	from	ADP
cana-4547	50	28	secure	secure	ADJ
cana-4547	50	29	multimodal	multimodal	ADJ
cana-4547	50	30	biometric	biometric	ADJ
cana-4547	50	31	authentication	authentication	NOUN
cana-4547	50	32	to	to	ADP
cana-4547	50	33	adversarial	adversarial	ADJ
cana-4547	50	34	robustness	robustness	NOUN
cana-4547	50	35	and	and	CCONJ
cana-4547	50	36	generates	generate	VERB
cana-4547	50	37	improved	improve	VERB
cana-4547	50	38	quantumresistant	quantumresistant	ADJ
cana-4547	50	39	cryptographic	cryptographic	ADJ
cana-4547	50	40	methods	method	NOUN
cana-4547	50	41	and	and	CCONJ
cana-4547	50	42	zero	zero	NUM
cana-4547	50	43	-	-	PUNCT
cana-4547	50	44	trust	trust	NOUN
cana-4547	50	45	security	security	NOUN
cana-4547	50	46	models	model	NOUN
cana-4547	50	47	.	.	PUNCT
cana-4547	51	1	early	early	ADJ
cana-4547	51	2	pioneer	pioneer	PROPN
cana-4547	51	3	studies	study	NOUN
cana-4547	51	4	,	,	PUNCT
cana-4547	51	5	such	such	ADJ
cana-4547	51	6	as	as	ADP
cana-4547	51	7	salturk	salturk	NOUN
cana-4547	51	8	and	and	CCONJ
cana-4547	51	9	kahraman	kahraman	NOUN
cana-4547	51	10	[	[	X
cana-4547	51	11	1	1	NUM
cana-4547	51	12	]	]	PUNCT
cana-4547	51	13	,	,	PUNCT
cana-4547	51	14	were	be	AUX
cana-4547	51	15	devised	devise	VERB
cana-4547	51	16	for	for	ADP
cana-4547	51	17	deep	deep	ADJ
cana-4547	51	18	learning	learning	NOUN
cana-4547	51	19	-	-	PUNCT
cana-4547	51	20	powered	power	VERB
cana-4547	51	21	multimodal	multimodal	ADJ
cana-4547	51	22	biometric	biometric	ADJ
cana-4547	51	23	authentication	authentication	NOUN
cana-4547	51	24	communications	communication	NOUN
cana-4547	51	25	on	on	ADP
cana-4547	51	26	applied	apply	VERB
cana-4547	51	27	nonlinear	nonlinear	ADJ
cana-4547	51	28	analysis	analysis	NOUN
cana-4547	51	29	issn	issn	NOUN
cana-4547	51	30	:	:	PUNCT
cana-4547	51	31	1074	1074	NUM
cana-4547	51	32	-	-	PUNCT
cana-4547	51	33	133x	133x	NUM
cana-4547	51	34	vol	vol	NOUN
cana-4547	51	35	32	32	NUM
cana-4547	51	36	no	no	NOUN
cana-4547	51	37	.	.	PUNCT
cana-4547	52	1	9s	9s	NUM
cana-4547	52	2	(	(	PUNCT
cana-4547	52	3	2025	2025	NUM
cana-4547	52	4	)	)	PUNCT
cana-4547	52	5	2661	2661	NUM
cana-4547	52	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	52	7	systems	system	NOUN
cana-4547	52	8	combining	combine	VERB
cana-4547	52	9	dynamic	dynamic	ADJ
cana-4547	52	10	signature	signature	NOUN
cana-4547	52	11	recognition	recognition	NOUN
cana-4547	52	12	and	and	CCONJ
cana-4547	52	13	facial	facial	ADJ
cana-4547	52	14	verification	verification	NOUN
cana-4547	52	15	to	to	PART
cana-4547	52	16	enhance	enhance	VERB
cana-4547	52	17	online	online	ADJ
cana-4547	52	18	security	security	NOUN
cana-4547	52	19	.	.	PUNCT
cana-4547	53	1	the	the	DET
cana-4547	53	2	research	research	NOUN
cana-4547	53	3	laid	lay	VERB
cana-4547	53	4	the	the	DET
cana-4547	53	5	basis	basis	NOUN
cana-4547	53	6	of	of	ADP
cana-4547	53	7	modality	modality	NOUN
cana-4547	53	8	fusion	fusion	NOUN
cana-4547	53	9	-	-	PUNCT
cana-4547	53	10	influenced	influence	VERB
cana-4547	53	11	security	security	NOUN
cana-4547	53	12	.	.	PUNCT
cana-4547	54	1	garg	garg	NOUN
cana-4547	54	2	and	and	CCONJ
cana-4547	54	3	goel	goel	PROPN
cana-4547	55	1	[	[	X
cana-4547	55	2	2	2	NUM
cana-4547	55	3	]	]	PUNCT
cana-4547	55	4	took	take	VERB
cana-4547	55	5	the	the	DET
cana-4547	55	6	line	line	NOUN
cana-4547	55	7	of	of	ADP
cana-4547	55	8	research	research	NOUN
cana-4547	55	9	-	-	PUNCT
cana-4547	55	10	further	far	ADV
cana-4547	55	11	into	into	ADP
cana-4547	55	12	academic	academic	ADJ
cana-4547	55	13	integrity	integrity	NOUN
cana-4547	55	14	and	and	CCONJ
cana-4547	55	15	online	online	ADJ
cana-4547	55	16	assessment	assessment	NOUN
cana-4547	55	17	security	security	NOUN
cana-4547	55	18	.	.	PUNCT
cana-4547	56	1	they	they	PRON
cana-4547	56	2	proposed	propose	VERB
cana-4547	56	3	a	a	DET
cana-4547	56	4	randomized	randomized	ADJ
cana-4547	56	5	authentication	authentication	NOUN
cana-4547	56	6	mechanism	mechanism	NOUN
cana-4547	56	7	that	that	PRON
cana-4547	56	8	thwarts	thwart	VERB
cana-4547	56	9	impersonation	impersonation	NOUN
cana-4547	56	10	.	.	PUNCT
cana-4547	57	1	meanwhile	meanwhile	ADV
cana-4547	57	2	,	,	PUNCT
cana-4547	57	3	alzoubi	alzoubi	PROPN
cana-4547	57	4	et	et	PROPN
cana-4547	57	5	al.[3	al.[3	PROPN
cana-4547	57	6	]	]	PUNCT
cana-4547	57	7	provided	provide	VERB
cana-4547	57	8	an	an	DET
cana-4547	57	9	elaborate	elaborate	ADJ
cana-4547	57	10	exposition	exposition	NOUN
cana-4547	57	11	and	and	CCONJ
cana-4547	57	12	analysis	analysis	NOUN
cana-4547	57	13	of	of	ADP
cana-4547	57	14	the	the	DET
cana-4547	57	15	applications	application	NOUN
cana-4547	57	16	of	of	ADP
cana-4547	57	17	machine	machine	NOUN
cana-4547	57	18	learning	learn	VERB
cana-4547	57	19	in	in	ADP
cana-4547	57	20	cloud	cloud	ADJ
cana-4547	57	21	security	security	NOUN
cana-4547	57	22	,	,	PUNCT
cana-4547	57	23	which	which	PRON
cana-4547	57	24	go	go	VERB
cana-4547	57	25	to	to	PART
cana-4547	57	26	prove	prove	VERB
cana-4547	57	27	the	the	DET
cana-4547	57	28	increasing	increase	VERB
cana-4547	57	29	importance	importance	NOUN
cana-4547	57	30	for	for	ADP
cana-4547	57	31	intelligent	intelligent	ADJ
cana-4547	57	32	cyber	cyber	NOUN
cana-4547	57	33	-	-	PUNCT
cana-4547	57	34	threat	threat	NOUN
cana-4547	57	35	mitigations	mitigation	NOUN
cana-4547	57	36	.	.	PUNCT
cana-4547	58	1	the	the	DET
cana-4547	58	2	research	research	NOUN
cana-4547	58	3	paper	paper	NOUN
cana-4547	58	4	elsofany	elsofany	NOUN
cana-4547	58	5	et	et	PROPN
cana-4547	58	6	al	al	PROPN
cana-4547	58	7	.	.	PUNCT
cana-4547	59	1	[	[	X
cana-4547	59	2	4	4	X
cana-4547	59	3	]	]	PUNCT
cana-4547	59	4	gave	give	VERB
cana-4547	59	5	an	an	DET
cana-4547	59	6	exposition	exposition	NOUN
cana-4547	59	7	on	on	ADP
cana-4547	59	8	improving	improve	VERB
cana-4547	59	9	iot	iot	ADJ
cana-4547	59	10	system	system	NOUN
cana-4547	59	11	security	security	NOUN
cana-4547	59	12	but	but	CCONJ
cana-4547	59	13	via	via	ADP
cana-4547	59	14	supervised	supervised	ADJ
cana-4547	59	15	machine	machine	NOUN
cana-4547	59	16	learning	learning	NOUN
cana-4547	59	17	models	model	NOUN
cana-4547	59	18	,	,	PUNCT
cana-4547	59	19	while	while	SCONJ
cana-4547	59	20	also	also	ADV
cana-4547	59	21	affirming	affirm	VERB
cana-4547	59	22	the	the	DET
cana-4547	59	23	ability	ability	NOUN
cana-4547	59	24	of	of	ADP
cana-4547	59	25	these	these	DET
cana-4547	59	26	models	model	NOUN
cana-4547	59	27	in	in	ADP
cana-4547	59	28	identifying	identify	VERB
cana-4547	59	29	malicious	malicious	ADJ
cana-4547	59	30	incidents	incident	NOUN
cana-4547	59	31	within	within	ADP
cana-4547	59	32	connected	connected	ADJ
cana-4547	59	33	environments	environment	NOUN
cana-4547	59	34	.	.	PUNCT
cana-4547	60	1	however	however	ADV
cana-4547	60	2	,	,	PUNCT
cana-4547	60	3	there	there	PRON
cana-4547	60	4	remains	remain	VERB
cana-4547	60	5	one	one	NUM
cana-4547	60	6	very	very	ADV
cana-4547	60	7	significant	significant	ADJ
cana-4547	60	8	aspect	aspect	NOUN
cana-4547	60	9	of	of	ADP
cana-4547	60	10	biometric	biometric	ADJ
cana-4547	60	11	authentication	authentication	NOUN
cana-4547	60	12	and	and	CCONJ
cana-4547	60	13	cybersecurity	cybersecurity	NOUN
cana-4547	60	14	:	:	PUNCT
cana-4547	60	15	wireless	wireless	ADJ
cana-4547	60	16	network	network	NOUN
cana-4547	60	17	security	security	NOUN
cana-4547	60	18	and	and	CCONJ
cana-4547	60	19	physical	physical	ADJ
cana-4547	60	20	-	-	PUNCT
cana-4547	60	21	layer	layer	NOUN
cana-4547	60	22	authentication	authentication	NOUN
cana-4547	60	23	.	.	PUNCT
cana-4547	61	1	to	to	ADP
cana-4547	61	2	that	that	DET
cana-4547	61	3	end	end	NOUN
cana-4547	61	4	,	,	PUNCT
cana-4547	61	5	this	this	DET
cana-4547	61	6	area	area	NOUN
cana-4547	61	7	is	be	AUX
cana-4547	61	8	ventured	venture	VERB
cana-4547	61	9	by	by	ADP
cana-4547	61	10	altun	altun	NOUN
cana-4547	61	11	and	and	CCONJ
cana-4547	61	12	basar	basar	VERB
cana-4547	62	1	[	[	X
cana-4547	62	2	5	5	NUM
cana-4547	62	3	]	]	PUNCT
cana-4547	62	4	,	,	PUNCT
cana-4547	62	5	who	who	PRON
cana-4547	62	6	put	put	VERB
cana-4547	62	7	forward	forward	ADV
cana-4547	62	8	machine	machine	NOUN
cana-4547	62	9	-	-	PUNCT
cana-4547	62	10	learning	learning	NOUN
cana-4547	62	11	-	-	PUNCT
cana-4547	62	12	driven	drive	VERB
cana-4547	62	13	phy	phy	NOUN
cana-4547	62	14	authentication	authentication	NOUN
cana-4547	62	15	requiring	require	VERB
cana-4547	62	16	no	no	DET
cana-4547	62	17	prior	prior	ADJ
cana-4547	62	18	intruder	intruder	NOUN
cana-4547	62	19	knowledge	knowledge	NOUN
cana-4547	62	20	.	.	PUNCT
cana-4547	63	1	this	this	PRON
cana-4547	63	2	was	be	AUX
cana-4547	63	3	later	later	ADV
cana-4547	63	4	on	on	ADV
cana-4547	63	5	taken	take	VERB
cana-4547	63	6	by	by	ADP
cana-4547	63	7	min	min	PROPN
cana-4547	63	8	and	and	CCONJ
cana-4547	63	9	lee	lee	PROPN
cana-4547	64	1	[	[	X
cana-4547	64	2	6	6	NUM
cana-4547	64	3	]	]	PUNCT
cana-4547	64	4	with	with	ADP
cana-4547	64	5	regard	regard	NOUN
cana-4547	64	6	to	to	ADP
cana-4547	64	7	the	the	DET
cana-4547	64	8	application	application	NOUN
cana-4547	64	9	of	of	ADP
cana-4547	64	10	resource	resource	NOUN
cana-4547	64	11	-	-	PUNCT
cana-4547	64	12	oriented	orient	VERB
cana-4547	64	13	-	-	PUNCT
cana-4547	64	14	machine	machine	NOUN
cana-4547	64	15	-	-	PUNCT
cana-4547	64	16	learning	learn	VERB
cana-4547	64	17	techniques	technique	NOUN
cana-4547	64	18	in	in	ADP
cana-4547	64	19	detecting	detect	VERB
cana-4547	64	20	illegal	illegal	ADJ
cana-4547	64	21	online	online	ADJ
cana-4547	64	22	activities	activity	NOUN
cana-4547	64	23	,	,	PUNCT
cana-4547	64	24	which	which	PRON
cana-4547	64	25	leaves	leave	VERB
cana-4547	64	26	ai	ai	VERB
cana-4547	64	27	as	as	ADP
cana-4547	64	28	a	a	DET
cana-4547	64	29	strong	strong	ADJ
cana-4547	64	30	and	and	CCONJ
cana-4547	64	31	specific	specific	ADJ
cana-4547	64	32	instigator	instigator	NOUN
cana-4547	64	33	of	of	ADP
cana-4547	64	34	importance	importance	NOUN
cana-4547	64	35	in	in	ADP
cana-4547	64	36	terms	term	NOUN
cana-4547	64	37	of	of	ADP
cana-4547	64	38	making	make	VERB
cana-4547	64	39	a	a	DET
cana-4547	64	40	significant	significant	ADJ
cana-4547	64	41	enforcement	enforcement	NOUN
cana-4547	64	42	of	of	ADP
cana-4547	64	43	anomaly	anomaly	NOUN
cana-4547	64	44	detection	detection	NOUN
cana-4547	64	45	processes	process	NOUN
cana-4547	64	46	.	.	PUNCT
cana-4547	65	1	bashir	bashir	PROPN
cana-4547	65	2	et	et	PROPN
cana-4547	65	3	al.[7	al.[7	PROPN
cana-4547	65	4	]	]	PUNCT
cana-4547	65	5	conducted	conduct	VERB
cana-4547	65	6	more	more	ADJ
cana-4547	65	7	analysis	analysis	NOUN
cana-4547	65	8	on	on	ADP
cana-4547	65	9	the	the	DET
cana-4547	65	10	landscape	landscape	NOUN
cana-4547	65	11	by	by	ADP
cana-4547	65	12	integrating	integrate	VERB
cana-4547	65	13	cryptographic	cryptographic	ADJ
cana-4547	65	14	security	security	NOUN
cana-4547	65	15	models	model	NOUN
cana-4547	65	16	with	with	ADP
cana-4547	65	17	machine	machine	NOUN
cana-4547	65	18	learning	learning	NOUN
cana-4547	65	19	-	-	PUNCT
cana-4547	65	20	based	base	VERB
cana-4547	65	21	cloud	cloud	NOUN
cana-4547	65	22	data	data	NOUN
cana-4547	65	23	security	security	NOUN
cana-4547	65	24	for	for	ADP
cana-4547	65	25	better	well	ADJ
cana-4547	65	26	encryption	encryption	NOUN
cana-4547	65	27	.	.	PUNCT
cana-4547	66	1	sheik	sheik	PROPN
cana-4547	66	2	and	and	CCONJ
cana-4547	66	3	durai	durai	PROPN
cana-4547	66	4	[	[	X
cana-4547	66	5	8	8	NUM
cana-4547	66	6	]	]	PUNCT
cana-4547	66	7	pioneered	pioneer	VERB
cana-4547	66	8	deep	deep	ADJ
cana-4547	66	9	learning	learning	NOUN
cana-4547	66	10	-	-	PUNCT
cana-4547	66	11	based	base	VERB
cana-4547	66	12	cryptographic	cryptographic	ADJ
cana-4547	66	13	authentication	authentication	NOUN
cana-4547	66	14	for	for	ADP
cana-4547	66	15	telecare	telecare	PROPN
cana-4547	66	16	medical	medical	ADJ
cana-4547	66	17	systems	system	NOUN
cana-4547	66	18	,	,	PUNCT
cana-4547	66	19	marking	mark	VERB
cana-4547	66	20	the	the	DET
cana-4547	66	21	beginning	beginning	NOUN
cana-4547	66	22	of	of	ADP
cana-4547	66	23	privacy	privacy	NOUN
cana-4547	66	24	-	-	PUNCT
cana-4547	66	25	preserving	preserve	VERB
cana-4547	66	26	optimal	optimal	ADJ
cana-4547	66	27	security	security	NOUN
cana-4547	66	28	mechanisms	mechanism	NOUN
cana-4547	66	29	.	.	PUNCT
cana-4547	67	1	speaking	speak	VERB
cana-4547	67	2	about	about	ADP
cana-4547	67	3	financial	financial	ADJ
cana-4547	67	4	security	security	NOUN
cana-4547	67	5	applications	application	NOUN
cana-4547	67	6	,	,	PUNCT
cana-4547	67	7	khan	khan	PROPN
cana-4547	67	8	et	et	PROPN
cana-4547	67	9	al	al	PROPN
cana-4547	67	10	.	.	PUNCT
cana-4547	68	1	[	[	X
cana-4547	68	2	9	9	NUM
cana-4547	68	3	]	]	PUNCT
cana-4547	68	4	have	have	AUX
cana-4547	68	5	demonstrated	demonstrate	VERB
cana-4547	68	6	the	the	DET
cana-4547	68	7	importance	importance	NOUN
cana-4547	68	8	of	of	ADP
cana-4547	68	9	authentication	authentication	NOUN
cana-4547	68	10	factors	factor	NOUN
cana-4547	68	11	in	in	ADP
cana-4547	68	12	securing	secure	VERB
cana-4547	68	13	mobile	mobile	ADJ
cana-4547	68	14	financial	financial	ADJ
cana-4547	68	15	transactions	transaction	NOUN
cana-4547	68	16	.	.	PUNCT
cana-4547	69	1	the	the	DET
cana-4547	69	2	significance	significance	NOUN
cana-4547	69	3	of	of	ADP
cana-4547	69	4	multi	multi	ADJ
cana-4547	69	5	-	-	ADJ
cana-4547	69	6	factor	factor	NOUN
cana-4547	69	7	authentication	authentication	NOUN
cana-4547	69	8	(	(	PUNCT
cana-4547	69	9	mfa	mfa	PROPN
cana-4547	69	10	)	)	PUNCT
cana-4547	69	11	and	and	CCONJ
cana-4547	69	12	behavioral	behavioral	ADJ
cana-4547	69	13	biometrics	biometric	NOUN
cana-4547	69	14	is	be	AUX
cana-4547	69	15	explained	explain	VERB
cana-4547	69	16	in	in	ADP
cana-4547	69	17	the	the	DET
cana-4547	69	18	study	study	NOUN
cana-4547	69	19	indirectly	indirectly	ADV
cana-4547	69	20	regarding	regard	VERB
cana-4547	69	21	financial	financial	ADJ
cana-4547	69	22	cybersecurity	cybersecurity	NOUN
cana-4547	69	23	.	.	PUNCT
cana-4547	70	1	cloud	cloud	NOUN
cana-4547	70	2	security	security	NOUN
cana-4547	70	3	modeling	model	VERB
cana-4547	70	4	technique	technique	NOUN
cana-4547	70	5	-	-	PUNCT
cana-4547	70	6	based	base	VERB
cana-4547	70	7	research	research	NOUN
cana-4547	70	8	was	be	AUX
cana-4547	70	9	undertaken	undertake	VERB
cana-4547	70	10	by	by	ADP
cana-4547	70	11	the	the	DET
cana-4547	70	12	hussain	hussain	PROPN
cana-4547	70	13	et	et	PROPN
cana-4547	70	14	al	al	PROPN
cana-4547	70	15	.	.	PUNCT
cana-4547	71	1	[	[	X
cana-4547	71	2	10	10	NUM
cana-4547	71	3	]	]	PUNCT
cana-4547	71	4	adjective	adjective	ADJ
cana-4547	71	5	through	through	ADP
cana-4547	71	6	tcp	tcp	ADP
cana-4547	71	7	traffic	traffic	NOUN
cana-4547	71	8	analysis	analysis	NOUN
cana-4547	71	9	using	use	VERB
cana-4547	71	10	machine	machine	NOUN
cana-4547	71	11	learning	learning	NOUN
cana-4547	71	12	,	,	PUNCT
cana-4547	71	13	revealing	reveal	VERB
cana-4547	71	14	proactive	proactive	ADJ
cana-4547	71	15	measures	measure	NOUN
cana-4547	71	16	in	in	ADP
cana-4547	71	17	attack	attack	NOUN
cana-4547	71	18	mitigation	mitigation	NOUN
cana-4547	71	19	strategies	strategy	NOUN
cana-4547	71	20	in	in	ADP
cana-4547	71	21	cloud	cloud	ADJ
cana-4547	71	22	environments	environment	NOUN
cana-4547	71	23	.	.	PUNCT
cana-4547	72	1	suresh	suresh	PROPN
cana-4547	72	2	kumar	kumar	PROPN
cana-4547	72	3	et	et	PROPN
cana-4547	72	4	al	al	PROPN
cana-4547	72	5	.	.	PUNCT
cana-4547	73	1	[	[	X
cana-4547	73	2	11	11	NUM
cana-4547	73	3	]	]	PUNCT
cana-4547	73	4	furthered	further	VERB
cana-4547	73	5	this	this	DET
cana-4547	73	6	proposal	proposal	NOUN
cana-4547	73	7	by	by	ADP
cana-4547	73	8	developing	develop	VERB
cana-4547	73	9	a	a	DET
cana-4547	73	10	secure	secure	ADJ
cana-4547	73	11	new	new	ADJ
cana-4547	73	12	authentication	authentication	NOUN
cana-4547	73	13	protocol	protocol	NOUN
cana-4547	73	14	that	that	PRON
cana-4547	73	15	formulated	formulate	VERB
cana-4547	73	16	a	a	DET
cana-4547	73	17	structured	structured	ADJ
cana-4547	73	18	future	future	ADJ
cana-4547	73	19	response	response	NOUN
cana-4547	73	20	towards	towards	ADP
cana-4547	73	21	cybersecurity	cybersecurity	NOUN
cana-4547	73	22	application	application	NOUN
cana-4547	73	23	designs	design	NOUN
cana-4547	73	24	.	.	PUNCT
cana-4547	74	1	this	this	PRON
cana-4547	74	2	appears	appear	VERB
cana-4547	74	3	to	to	PART
cana-4547	74	4	be	be	AUX
cana-4547	74	5	the	the	DET
cana-4547	74	6	same	same	ADJ
cana-4547	74	7	thing	thing	NOUN
cana-4547	74	8	as	as	ADP
cana-4547	74	9	what	what	PRON
cana-4547	74	10	borra	borra	PROPN
cana-4547	74	11	and	and	CCONJ
cana-4547	74	12	others	other	NOUN
cana-4547	74	13	[	[	X
cana-4547	74	14	12	12	NUM
cana-4547	74	15	]	]	PUNCT
cana-4547	74	16	contributed	contribute	VERB
cana-4547	74	17	.	.	PUNCT
cana-4547	75	1	they	they	PRON
cana-4547	75	2	provided	provide	VERB
cana-4547	75	3	deep	deep	ADJ
cana-4547	75	4	hashing	hashing	NOUN
cana-4547	75	5	and	and	CCONJ
cana-4547	75	6	cnn	cnn	PROPN
cana-4547	75	7	-	-	PUNCT
cana-4547	75	8	based	base	VERB
cana-4547	75	9	biometric	biometric	ADJ
cana-4547	75	10	authentication	authentication	NOUN
cana-4547	75	11	for	for	ADP
cana-4547	75	12	transportation	transportation	NOUN
cana-4547	75	13	security	security	NOUN
cana-4547	75	14	,	,	PUNCT
cana-4547	75	15	thereby	thereby	ADV
cana-4547	75	16	closing	close	VERB
cana-4547	75	17	the	the	DET
cana-4547	75	18	loop	loop	NOUN
cana-4547	75	19	between	between	ADP
cana-4547	75	20	biometric	biometric	ADJ
cana-4547	75	21	verification	verification	NOUN
cana-4547	75	22	and	and	CCONJ
cana-4547	75	23	intelligent	intelligent	ADJ
cana-4547	75	24	transit	transit	NOUN
cana-4547	75	25	security	security	NOUN
cana-4547	75	26	application	application	NOUN
cana-4547	75	27	.	.	PUNCT
cana-4547	76	1	a	a	DET
cana-4547	76	2	trend	trend	NOUN
cana-4547	76	3	to	to	PART
cana-4547	76	4	follow	follow	VERB
cana-4547	76	5	was	be	AUX
cana-4547	76	6	the	the	DET
cana-4547	76	7	orchestration	orchestration	NOUN
cana-4547	76	8	of	of	ADP
cana-4547	76	9	blockchain	blockchain	PROPN
cana-4547	76	10	technology	technology	PROPN
cana-4547	76	11	with	with	ADP
cana-4547	76	12	cybersecurity	cybersecurity	NOUN
cana-4547	76	13	;	;	PUNCT
cana-4547	76	14	rai	rai	PROPN
cana-4547	76	15	et	et	PROPN
cana-4547	76	16	al	al	PROPN
cana-4547	76	17	.	.	PUNCT
cana-4547	77	1	[	[	X
cana-4547	77	2	13	13	NUM
cana-4547	77	3	]	]	PUNCT
cana-4547	77	4	performed	perform	VERB
cana-4547	77	5	systematic	systematic	ADJ
cana-4547	77	6	reviews	review	NOUN
cana-4547	77	7	of	of	ADP
cana-4547	77	8	innovations	innovation	NOUN
cana-4547	77	9	in	in	ADP
cana-4547	77	10	iot	iot	NOUN
cana-4547	77	11	-	-	PUNCT
cana-4547	77	12	based	base	VERB
cana-4547	77	13	security	security	NOUN
cana-4547	77	14	mechanisms	mechanism	NOUN
cana-4547	77	15	with	with	ADP
cana-4547	77	16	real	real	ADJ
cana-4547	77	17	-	-	PUNCT
cana-4547	77	18	time	time	NOUN
cana-4547	77	19	image	image	NOUN
cana-4547	77	20	security	security	NOUN
cana-4547	77	21	incorporated	incorporate	VERB
cana-4547	77	22	through	through	ADP
cana-4547	77	23	machine	machine	NOUN
cana-4547	77	24	learning	learning	NOUN
cana-4547	77	25	and	and	CCONJ
cana-4547	77	26	blockchain	blockchain	PROPN
cana-4547	77	27	methodologies	methodology	NOUN
cana-4547	77	28	.	.	PUNCT
cana-4547	78	1	venkatasamy	venkatasamy	NOUN
cana-4547	78	2	et	et	PROPN
cana-4547	78	3	al	al	PROPN
cana-4547	78	4	.	.	PUNCT
cana-4547	79	1	[	[	X
cana-4547	79	2	14	14	NUM
cana-4547	79	3	]	]	PUNCT
cana-4547	79	4	adopted	adopt	VERB
cana-4547	79	5	the	the	DET
cana-4547	79	6	underlining	underlining	ADJ
cana-4547	79	7	principles	principle	NOUN
cana-4547	79	8	for	for	ADP
cana-4547	79	9	use	use	NOUN
cana-4547	79	10	within	within	ADP
cana-4547	79	11	vehicular	vehicular	ADJ
cana-4547	79	12	networks	network	NOUN
cana-4547	79	13	(	(	PUNCT
cana-4547	79	14	vanets	vanet	NOUN
cana-4547	79	15	)	)	PUNCT
cana-4547	79	16	and	and	CCONJ
cana-4547	79	17	suggested	suggest	VERB
cana-4547	79	18	a	a	DET
cana-4547	79	19	machine	machine	NOUN
cana-4547	79	20	learning	learn	VERB
cana-4547	79	21	based	base	VERB
cana-4547	79	22	cryptographic	cryptographic	ADJ
cana-4547	79	23	protocol	protocol	NOUN
cana-4547	79	24	for	for	ADP
cana-4547	79	25	intrusion	intrusion	NOUN
cana-4547	79	26	detection	detection	NOUN
cana-4547	79	27	in	in	ADP
cana-4547	79	28	v2x	v2x	NOUN
cana-4547	79	29	communications	communication	NOUN
cana-4547	79	30	.	.	PUNCT
cana-4547	80	1	security	security	NOUN
cana-4547	80	2	threats	threat	NOUN
cana-4547	80	3	and	and	CCONJ
cana-4547	80	4	issues	issue	NOUN
cana-4547	80	5	faced	face	VERB
cana-4547	80	6	in	in	ADP
cana-4547	80	7	new	new	ADJ
cana-4547	80	8	-	-	PUNCT
cana-4547	80	9	age	age	NOUN
cana-4547	80	10	6	6	NUM
cana-4547	80	11	g	g	NOUN
cana-4547	80	12	cloud	cloud	NOUN
cana-4547	80	13	computing	compute	VERB
cana-4547	80	14	environments	environment	NOUN
cana-4547	80	15	can	can	AUX
cana-4547	80	16	be	be	AUX
cana-4547	80	17	further	far	ADV
cana-4547	80	18	addressed	address	VERB
cana-4547	80	19	through	through	ADP
cana-4547	80	20	chen	chen	PROPN
cana-4547	80	21	et	et	PROPN
cana-4547	80	22	al	al	PROPN
cana-4547	80	23	.	.	PUNCT
cana-4547	81	1	[	[	X
cana-4547	81	2	15	15	NUM
cana-4547	81	3	]	]	SYM
cana-4547	81	4	’s	’s	NOUN
cana-4547	81	5	application	application	NOUN
cana-4547	81	6	of	of	ADP
cana-4547	81	7	machine	machine	NOUN
cana-4547	81	8	learning	learning	NOUN
cana-4547	81	9	-	-	PUNCT
cana-4547	81	10	driven	drive	VERB
cana-4547	81	11	security	security	NOUN
cana-4547	81	12	analysis	analysis	NOUN
cana-4547	81	13	in	in	ADP
cana-4547	81	14	the	the	DET
cana-4547	81	15	iomt	iomt	NOUN
cana-4547	81	16	,	,	PUNCT
cana-4547	81	17	thus	thus	ADV
cana-4547	81	18	enhancing	enhance	VERB
cana-4547	81	19	cloud	cloud	ADJ
cana-4547	81	20	security	security	NOUN
cana-4547	81	21	for	for	ADP
cana-4547	81	22	medical	medical	ADJ
cana-4547	81	23	applications	application	NOUN
cana-4547	81	24	.	.	PUNCT
cana-4547	82	1	at	at	ADP
cana-4547	82	2	the	the	DET
cana-4547	82	3	same	same	ADJ
cana-4547	82	4	time	time	NOUN
cana-4547	82	5	,	,	PUNCT
cana-4547	82	6	singhal	singhal	NOUN
cana-4547	82	7	and	and	CCONJ
cana-4547	82	8	shinghal	shinghal	NOUN
cana-4547	82	9	[	[	X
cana-4547	82	10	16	16	NUM
cana-4547	82	11	]	]	PUNCT
cana-4547	82	12	refined	refine	VERB
cana-4547	82	13	further	far	ADV
cana-4547	82	14	the	the	DET
cana-4547	82	15	advancement	advancement	NOUN
cana-4547	82	16	of	of	ADP
cana-4547	82	17	multimodal	multimodal	ADJ
cana-4547	82	18	biometric	biometric	ADJ
cana-4547	82	19	authentication	authentication	NOUN
cana-4547	82	20	systems	system	NOUN
cana-4547	82	21	by	by	ADP
cana-4547	82	22	synergizing	synergize	VERB
cana-4547	82	23	online	online	ADJ
cana-4547	82	24	signature	signature	NOUN
cana-4547	82	25	and	and	CCONJ
cana-4547	82	26	face	face	NOUN
cana-4547	82	27	recognition	recognition	NOUN
cana-4547	82	28	features	feature	VERB
cana-4547	82	29	in	in	ADP
cana-4547	82	30	a	a	DET
cana-4547	82	31	secure	secure	ADJ
cana-4547	82	32	deep	deep	ADJ
cana-4547	82	33	multimodal	multimodal	ADJ
cana-4547	82	34	biometric	biometric	ADJ
cana-4547	82	35	authentication	authentication	NOUN
cana-4547	82	36	approach	approach	NOUN
cana-4547	82	37	.	.	PUNCT
cana-4547	83	1	their	their	PRON
cana-4547	83	2	work	work	NOUN
cana-4547	83	3	set	set	VERB
cana-4547	83	4	the	the	DET
cana-4547	83	5	background	background	NOUN
cana-4547	83	6	for	for	ADP
cana-4547	83	7	context	context	NOUN
cana-4547	83	8	-	-	PUNCT
cana-4547	83	9	aware	aware	ADJ
cana-4547	83	10	authentication	authentication	NOUN
cana-4547	83	11	models	model	NOUN
cana-4547	83	12	,	,	PUNCT
cana-4547	83	13	which	which	PRON
cana-4547	83	14	form	form	VERB
cana-4547	83	15	a	a	DET
cana-4547	83	16	critical	critical	ADJ
cana-4547	83	17	part	part	NOUN
cana-4547	83	18	of	of	ADP
cana-4547	83	19	zero	zero	NUM
cana-4547	83	20	-	-	PUNCT
cana-4547	83	21	trust	trust	NOUN
cana-4547	83	22	security	security	NOUN
cana-4547	83	23	paradigms	paradigm	VERB
cana-4547	83	24	.	.	PUNCT
cana-4547	84	1	a	a	DET
cana-4547	84	2	wider	wide	ADJ
cana-4547	84	3	view	view	NOUN
cana-4547	84	4	on	on	ADP
cana-4547	84	5	cybersecurity	cybersecurity	NOUN
cana-4547	84	6	is	be	AUX
cana-4547	84	7	also	also	ADV
cana-4547	84	8	given	give	VERB
cana-4547	84	9	by	by	ADP
cana-4547	84	10	cherbal	cherbal	PROPN
cana-4547	84	11	et	et	PROPN
cana-4547	84	12	al	al	PROPN
cana-4547	84	13	.	.	PUNCT
cana-4547	85	1	[	[	X
cana-4547	85	2	17	17	NUM
cana-4547	85	3	]	]	PUNCT
cana-4547	85	4	in	in	ADP
cana-4547	85	5	their	their	PRON
cana-4547	85	6	communications	communication	NOUN
cana-4547	85	7	on	on	ADP
cana-4547	85	8	applied	apply	VERB
cana-4547	85	9	nonlinear	nonlinear	ADJ
cana-4547	85	10	analysis	analysis	NOUN
cana-4547	85	11	issn	issn	NOUN
cana-4547	85	12	:	:	PUNCT
cana-4547	85	13	1074	1074	NUM
cana-4547	85	14	-	-	PUNCT
cana-4547	85	15	133x	133x	NUM
cana-4547	85	16	vol	vol	NOUN
cana-4547	85	17	32	32	NUM
cana-4547	85	18	no	no	NOUN
cana-4547	85	19	.	.	PUNCT
cana-4547	86	1	9s	9s	NUM
cana-4547	86	2	(	(	PUNCT
cana-4547	86	3	2025	2025	NUM
cana-4547	86	4	)	)	PUNCT
cana-4547	86	5	2662	2662	NUM
cana-4547	86	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	86	7	comprehensive	comprehensive	ADJ
cana-4547	86	8	review	review	NOUN
cana-4547	86	9	on	on	ADP
cana-4547	86	10	iot	iot	ADJ
cana-4547	86	11	security	security	NOUN
cana-4547	86	12	frameworks	framework	NOUN
cana-4547	86	13	covering	cover	VERB
cana-4547	86	14	blockchain	blockchain	NOUN
cana-4547	86	15	together	together	ADV
cana-4547	86	16	with	with	ADP
cana-4547	86	17	machine	machine	NOUN
cana-4547	86	18	learning	learning	NOUN
cana-4547	86	19	and	and	CCONJ
cana-4547	86	20	cryptography	cryptography	NOUN
cana-4547	86	21	and	and	CCONJ
cana-4547	86	22	quantum	quantum	NOUN
cana-4547	86	23	computing	computing	NOUN
cana-4547	86	24	.	.	PUNCT
cana-4547	87	1	kadham	kadham	PROPN
cana-4547	87	2	et	et	PROPN
cana-4547	87	3	al	al	PROPN
cana-4547	87	4	.	.	PUNCT
cana-4547	88	1	[	[	X
cana-4547	88	2	18	18	NUM
cana-4547	88	3	]	]	PUNCT
cana-4547	88	4	proposed	propose	VERB
cana-4547	88	5	the	the	DET
cana-4547	88	6	implementation	implementation	NOUN
cana-4547	88	7	of	of	ADP
cana-4547	88	8	iot	iot	NOUN
cana-4547	88	9	-	-	PUNCT
cana-4547	88	10	based	base	VERB
cana-4547	88	11	authentication	authentication	NOUN
cana-4547	88	12	in	in	ADP
cana-4547	88	13	a	a	DET
cana-4547	88	14	remote	remote	ADJ
cana-4547	88	15	monitoring	monitoring	NOUN
cana-4547	88	16	system	system	NOUN
cana-4547	88	17	,	,	PUNCT
cana-4547	88	18	thus	thus	ADV
cana-4547	88	19	optimizing	optimize	VERB
cana-4547	88	20	distance	distance	NOUN
cana-4547	88	21	-	-	PUNCT
cana-4547	88	22	learning	learn	VERB
cana-4547	88	23	security	security	NOUN
cana-4547	88	24	schemes	scheme	NOUN
cana-4547	88	25	through	through	ADP
cana-4547	88	26	machine	machine	NOUN
cana-4547	88	27	learning	learning	NOUN
cana-4547	88	28	.	.	PUNCT
cana-4547	89	1	sharma	sharma	PROPN
cana-4547	89	2	et	et	PROPN
cana-4547	89	3	al	al	PROPN
cana-4547	89	4	.	.	PUNCT
cana-4547	90	1	[	[	X
cana-4547	90	2	19	19	NUM
cana-4547	90	3	]	]	PUNCT
cana-4547	90	4	applied	applied	ADJ
cana-4547	90	5	machine	machine	NOUN
cana-4547	90	6	learning	learning	NOUN
cana-4547	90	7	and	and	CCONJ
cana-4547	90	8	big	big	ADJ
cana-4547	90	9	data	datum	NOUN
cana-4547	90	10	analytics	analytic	NOUN
cana-4547	90	11	to	to	PART
cana-4547	90	12	automate	automate	VERB
cana-4547	90	13	financial	financial	ADJ
cana-4547	90	14	security	security	NOUN
cana-4547	90	15	strategies	strategy	NOUN
cana-4547	90	16	in	in	ADP
cana-4547	90	17	stock	stock	NOUN
cana-4547	90	18	market	market	NOUN
cana-4547	90	19	analysis	analysis	NOUN
cana-4547	90	20	,	,	PUNCT
cana-4547	90	21	representing	represent	VERB
cana-4547	90	22	a	a	DET
cana-4547	90	23	more	more	ADV
cana-4547	90	24	industry	industry	NOUN
cana-4547	90	25	-	-	PUNCT
cana-4547	90	26	specific	specific	ADJ
cana-4547	90	27	approach	approach	NOUN
cana-4547	90	28	.	.	PUNCT
cana-4547	91	1	fatima	fatima	PROPN
cana-4547	91	2	et	et	PROPN
cana-4547	91	3	al	al	PROPN
cana-4547	91	4	.	.	PUNCT
cana-4547	92	1	[	[	X
cana-4547	92	2	20	20	NUM
cana-4547	92	3	]	]	PUNCT
cana-4547	92	4	's	's	PART
cana-4547	92	5	study	study	NOUN
cana-4547	92	6	was	be	AUX
cana-4547	92	7	also	also	ADV
cana-4547	92	8	important	important	ADJ
cana-4547	92	9	in	in	SCONJ
cana-4547	92	10	that	that	SCONJ
cana-4547	92	11	they	they	PRON
cana-4547	92	12	reported	report	VERB
cana-4547	92	13	on	on	ADP
cana-4547	92	14	blockchain	blockchain	PROPN
cana-4547	92	15	and	and	CCONJ
cana-4547	92	16	physically	physically	ADV
cana-4547	92	17	unclonable	unclonable	ADJ
cana-4547	92	18	functions	function	NOUN
cana-4547	92	19	(	(	PUNCT
cana-4547	92	20	puf)-based	puf)-base	VERB
cana-4547	92	21	authentication	authentication	NOUN
cana-4547	92	22	protocols	protocol	NOUN
cana-4547	92	23	that	that	PRON
cana-4547	92	24	provided	provide	VERB
cana-4547	92	25	light	light	NOUN
cana-4547	92	26	but	but	CCONJ
cana-4547	92	27	extremely	extremely	ADV
cana-4547	92	28	secure	secure	ADJ
cana-4547	92	29	authentication	authentication	NOUN
cana-4547	92	30	in	in	ADP
cana-4547	92	31	wireless	wireless	ADJ
cana-4547	92	32	medical	medical	ADJ
cana-4547	92	33	sensor	sensor	NOUN
cana-4547	92	34	networks	network	NOUN
cana-4547	92	35	.	.	PUNCT
cana-4547	93	1	according	accord	VERB
cana-4547	93	2	to	to	ADP
cana-4547	93	3	yi	yi	PROPN
cana-4547	93	4	[	[	X
cana-4547	93	5	21	21	NUM
cana-4547	93	6	]	]	X
cana-4547	93	7	,	,	PUNCT
cana-4547	93	8	there	there	PRON
cana-4547	93	9	is	be	VERB
cana-4547	93	10	a	a	DET
cana-4547	93	11	significant	significant	ADJ
cana-4547	93	12	impact	impact	NOUN
cana-4547	93	13	of	of	ADP
cana-4547	93	14	post	post	ADJ
cana-4547	93	15	-	-	ADJ
cana-4547	93	16	quantum	quantum	ADJ
cana-4547	93	17	cryptography	cryptography	NOUN
cana-4547	93	18	upon	upon	SCONJ
cana-4547	93	19	hardware	hardware	NOUN
cana-4547	93	20	security	security	NOUN
cana-4547	93	21	.	.	PUNCT
cana-4547	94	1	yi	yi	PROPN
cana-4547	94	2	also	also	ADV
cana-4547	94	3	discussed	discuss	VERB
cana-4547	94	4	some	some	DET
cana-4547	94	5	insights	insight	NOUN
cana-4547	94	6	into	into	ADP
cana-4547	94	7	the	the	DET
cana-4547	94	8	machine	machine	NOUN
cana-4547	94	9	learning	learn	VERB
cana-4547	94	10	applications	application	NOUN
cana-4547	94	11	on	on	ADP
cana-4547	94	12	quantumresistant	quantumresistant	ADJ
cana-4547	94	13	cryptographic	cryptographic	ADJ
cana-4547	94	14	solutions	solution	NOUN
cana-4547	94	15	.	.	PUNCT
cana-4547	95	1	in	in	ADP
cana-4547	95	2	this	this	DET
cana-4547	95	3	direction	direction	NOUN
cana-4547	95	4	of	of	ADP
cana-4547	95	5	iot	iot	NOUN
cana-4547	95	6	,	,	PUNCT
cana-4547	95	7	prakash	prakash	PROPN
cana-4547	95	8	et	et	PROPN
cana-4547	95	9	al	al	PROPN
cana-4547	95	10	.	.	PUNCT
cana-4547	96	1	[	[	X
cana-4547	96	2	22	22	NUM
cana-4547	96	3	]	]	PUNCT
cana-4547	96	4	deployed	deploy	VERB
cana-4547	96	5	a	a	DET
cana-4547	96	6	secure	secure	ADJ
cana-4547	96	7	machine	machine	NOUN
cana-4547	96	8	learning	learn	VERB
cana-4547	96	9	framework	framework	NOUN
cana-4547	96	10	for	for	ADP
cana-4547	96	11	anomaly	anomaly	NOUN
cana-4547	96	12	detection	detection	NOUN
cana-4547	96	13	that	that	PRON
cana-4547	96	14	enhanced	enhance	VERB
cana-4547	96	15	its	its	PRON
cana-4547	96	16	accuracy	accuracy	NOUN
cana-4547	96	17	in	in	ADP
cana-4547	96	18	large	large	ADJ
cana-4547	96	19	-	-	PUNCT
cana-4547	96	20	scale	scale	NOUN
cana-4547	96	21	deployments	deployment	NOUN
cana-4547	96	22	for	for	ADP
cana-4547	96	23	iot	iot	NOUN
cana-4547	96	24	.	.	PUNCT
cana-4547	97	1	signature	signature	NOUN
cana-4547	97	2	-	-	PUNCT
cana-4547	97	3	based	base	VERB
cana-4547	97	4	authentication	authentication	NOUN
cana-4547	97	5	mechanisms	mechanism	NOUN
cana-4547	97	6	further	far	ADV
cana-4547	97	7	improved	improve	VERB
cana-4547	97	8	through	through	ADP
cana-4547	97	9	gutub	gutub	PROPN
cana-4547	97	10	et	et	PROPN
cana-4547	97	11	al	al	PROPN
cana-4547	97	12	.	.	PUNCT
cana-4547	98	1	[	[	X
cana-4547	98	2	23	23	NUM
cana-4547	98	3	]	]	PUNCT
cana-4547	98	4	using	use	VERB
cana-4547	98	5	the	the	DET
cana-4547	98	6	octave	octave	NOUN
cana-4547	98	7	convolution	convolution	NOUN
cana-4547	98	8	neural	neural	ADJ
cana-4547	98	9	network	network	NOUN
cana-4547	98	10	for	for	ADP
cana-4547	98	11	offline	offline	ADJ
cana-4547	98	12	signature	signature	NOUN
cana-4547	98	13	authentication	authentication	NOUN
cana-4547	98	14	to	to	PART
cana-4547	98	15	promote	promote	VERB
cana-4547	98	16	efficiency	efficiency	NOUN
cana-4547	98	17	in	in	ADP
cana-4547	98	18	document	document	NOUN
cana-4547	98	19	security	security	NOUN
cana-4547	98	20	applications	application	NOUN
cana-4547	98	21	.	.	PUNCT
cana-4547	99	1	user	user	NOUN
cana-4547	99	2	behavior	behavior	NOUN
cana-4547	99	3	in	in	ADP
cana-4547	99	4	a	a	DET
cana-4547	99	5	computer	computer	NOUN
cana-4547	99	6	system	system	NOUN
cana-4547	99	7	could	could	AUX
cana-4547	99	8	also	also	ADV
cana-4547	99	9	be	be	AUX
cana-4547	99	10	modeled	model	VERB
cana-4547	99	11	using	use	VERB
cana-4547	99	12	machine	machine	NOUN
cana-4547	99	13	learning	learning	NOUN
cana-4547	99	14	applications	application	NOUN
cana-4547	99	15	,	,	PUNCT
cana-4547	99	16	proposing	propose	VERB
cana-4547	99	17	a	a	DET
cana-4547	99	18	new	new	ADJ
cana-4547	99	19	methodology	methodology	NOUN
cana-4547	99	20	towards	towards	ADP
cana-4547	99	21	behavioral	behavioral	ADJ
cana-4547	99	22	analysis	analysis	NOUN
cana-4547	99	23	by	by	ADP
cana-4547	99	24	mashechkin	mashechkin	PROPN
cana-4547	99	25	et	et	PROPN
cana-4547	99	26	al	al	PROPN
cana-4547	99	27	.	.	PUNCT
cana-4547	100	1	[	[	X
cana-4547	100	2	24	24	NUM
cana-4547	100	3	]	]	PUNCT
cana-4547	100	4	.	.	PUNCT
cana-4547	101	1	the	the	DET
cana-4547	101	2	last	last	ADJ
cana-4547	101	3	report	report	NOUN
cana-4547	101	4	was	be	AUX
cana-4547	101	5	by	by	ADP
cana-4547	101	6	thomas	thomas	PROPN
cana-4547	101	7	et	et	PROPN
cana-4547	101	8	al	al	PROPN
cana-4547	101	9	.	.	PUNCT
cana-4547	102	1	[	[	X
cana-4547	102	2	25	25	NUM
cana-4547	102	3	]	]	PUNCT
cana-4547	102	4	,	,	PUNCT
cana-4547	102	5	which	which	PRON
cana-4547	102	6	presented	present	VERB
cana-4547	102	7	multi	multi	ADJ
cana-4547	102	8	-	-	ADJ
cana-4547	102	9	level	level	ADJ
cana-4547	102	10	soft	soft	ADJ
cana-4547	102	11	computing	computing	NOUN
cana-4547	102	12	and	and	CCONJ
cana-4547	102	13	machine	machine	NOUN
cana-4547	102	14	learning	learning	NOUN
cana-4547	102	15	-	-	PUNCT
cana-4547	102	16	based	base	VERB
cana-4547	102	17	security	security	NOUN
cana-4547	102	18	protection	protection	NOUN
cana-4547	102	19	models	model	NOUN
cana-4547	102	20	for	for	ADP
cana-4547	102	21	cloud	cloud	ADJ
cana-4547	102	22	environments	environment	NOUN
cana-4547	102	23	exhibiting	exhibit	VERB
cana-4547	102	24	scalable	scalable	ADJ
cana-4547	102	25	security	security	NOUN
cana-4547	102	26	implementations	implementation	NOUN
cana-4547	102	27	within	within	ADP
cana-4547	102	28	enterprise	enterprise	NOUN
cana-4547	102	29	networks	network	NOUN
cana-4547	102	30	.	.	PUNCT
cana-4547	103	1	the	the	DET
cana-4547	103	2	convergence	convergence	NOUN
cana-4547	103	3	of	of	ADP
cana-4547	103	4	these	these	DET
cana-4547	103	5	twenty	twenty	NUM
cana-4547	103	6	-	-	PUNCT
cana-4547	103	7	five	five	NUM
cana-4547	103	8	research	research	NOUN
cana-4547	103	9	papers	paper	NOUN
cana-4547	103	10	gives	give	VERB
cana-4547	103	11	an	an	DET
cana-4547	103	12	extensive	extensive	ADJ
cana-4547	103	13	understanding	understanding	NOUN
cana-4547	103	14	of	of	ADP
cana-4547	103	15	biometric	biometric	ADJ
cana-4547	103	16	security	security	NOUN
cana-4547	103	17	and	and	CCONJ
cana-4547	103	18	authentication	authentication	NOUN
cana-4547	103	19	through	through	ADP
cana-4547	103	20	adversarial	adversarial	ADJ
cana-4547	103	21	defense	defense	NOUN
cana-4547	103	22	mechanisms	mechanism	NOUN
cana-4547	103	23	,	,	PUNCT
cana-4547	103	24	integrated	integrate	VERB
cana-4547	103	25	with	with	ADP
cana-4547	103	26	blockchain	blockchain	PROPN
cana-4547	103	27	authentication	authentication	NOUN
cana-4547	103	28	and	and	CCONJ
cana-4547	103	29	quantum	quantum	NOUN
cana-4547	103	30	-	-	PUNCT
cana-4547	103	31	resistant	resistant	ADJ
cana-4547	103	32	cryptography	cryptography	NOUN
cana-4547	103	33	.	.	PUNCT
cana-4547	104	1	the	the	DET
cana-4547	104	2	chain	chain	NOUN
cana-4547	104	3	has	have	AUX
cana-4547	104	4	since	since	SCONJ
cana-4547	104	5	evolved	evolve	VERB
cana-4547	104	6	from	from	ADP
cana-4547	104	7	unimodal	unimodal	ADJ
cana-4547	104	8	to	to	ADP
cana-4547	104	9	multimodal	multimodal	ADJ
cana-4547	104	10	biometric	biometric	ADJ
cana-4547	104	11	systems	system	NOUN
cana-4547	104	12	,	,	PUNCT
cana-4547	104	13	and	and	CCONJ
cana-4547	104	14	includes	includes	AUX
cana-4547	104	15	ai	ai	VERB
cana-4547	104	16	in	in	ADP
cana-4547	104	17	adversarial	adversarial	ADJ
cana-4547	104	18	robustness	robustness	NOUN
cana-4547	104	19	as	as	ADV
cana-4547	104	20	well	well	ADV
cana-4547	104	21	as	as	ADP
cana-4547	104	22	blockchain	blockchain	NOUN
cana-4547	104	23	for	for	ADP
cana-4547	104	24	decentralized	decentralized	ADJ
cana-4547	104	25	authentication	authentication	NOUN
cana-4547	104	26	mechanisms	mechanism	NOUN
cana-4547	104	27	that	that	PRON
cana-4547	104	28	revolutionize	revolutionize	VERB
cana-4547	104	29	the	the	DET
cana-4547	104	30	security	security	NOUN
cana-4547	104	31	domain	domain	NOUN
cana-4547	104	32	.	.	PUNCT
cana-4547	105	1	the	the	DET
cana-4547	105	2	proposed	propose	VERB
cana-4547	105	3	adaptive	adaptive	ADJ
cana-4547	105	4	multi	multi	ADJ
cana-4547	105	5	-	-	ADJ
cana-4547	105	6	modal	modal	ADJ
cana-4547	105	7	biometric	biometric	ADJ
cana-4547	105	8	security	security	NOUN
cana-4547	105	9	framework	framework	NOUN
cana-4547	105	10	,	,	PUNCT
cana-4547	105	11	integrating	integrate	VERB
cana-4547	105	12	amfft	amfft	NOUN
cana-4547	105	13	,	,	PUNCT
cana-4547	105	14	dpat	dpat	NOUN
cana-4547	105	15	,	,	PUNCT
cana-4547	105	16	sma	sma	NOUN
cana-4547	105	17	-	-	PUNCT
cana-4547	105	18	transformer	transformer	NOUN
cana-4547	105	19	,	,	PUNCT
cana-4547	105	20	ezv	ezv	NOUN
cana-4547	105	21	-	-	PUNCT
cana-4547	105	22	model	model	NOUN
cana-4547	105	23	,	,	PUNCT
cana-4547	105	24	and	and	CCONJ
cana-4547	105	25	rbb	rbb	PROPN
cana-4547	105	26	-	-	PUNCT
cana-4547	105	27	sec	sec	PROPN
cana-4547	105	28	,	,	PUNCT
cana-4547	105	29	achieves	achieve	VERB
cana-4547	105	30	an	an	DET
cana-4547	105	31	authentication	authentication	NOUN
cana-4547	105	32	accuracy	accuracy	NOUN
cana-4547	105	33	of	of	ADP
cana-4547	105	34	99.5	99.5	NUM
cana-4547	105	35	%	%	NOUN
cana-4547	105	36	,	,	PUNCT
cana-4547	105	37	an	an	DET
cana-4547	105	38	adversarial	adversarial	ADJ
cana-4547	105	39	evasion	evasion	NOUN
cana-4547	105	40	rate	rate	NOUN
cana-4547	105	41	of	of	ADP
cana-4547	105	42	just	just	ADV
cana-4547	105	43	1.2	1.2	NUM
cana-4547	105	44	%	%	NOUN
cana-4547	105	45	,	,	PUNCT
cana-4547	105	46	and	and	CCONJ
cana-4547	105	47	a	a	DET
cana-4547	105	48	session	session	NOUN
cana-4547	105	49	hijacking	hijacking	NOUN
cana-4547	105	50	detection	detection	NOUN
cana-4547	105	51	rate	rate	NOUN
cana-4547	105	52	of	of	ADP
cana-4547	105	53	99.2	99.2	NUM
cana-4547	105	54	%	%	NOUN
cana-4547	105	55	.	.	PUNCT
cana-4547	106	1	future	future	ADJ
cana-4547	106	2	studies	study	NOUN
cana-4547	106	3	focus	focus	VERB
cana-4547	106	4	on	on	ADP
cana-4547	106	5	the	the	DET
cana-4547	106	6	further	further	ADJ
cana-4547	106	7	integration	integration	NOUN
cana-4547	106	8	of	of	ADP
cana-4547	106	9	post	post	ADJ
cana-4547	106	10	-	-	ADJ
cana-4547	106	11	quantum	quantum	ADJ
cana-4547	106	12	cryptographic	cryptographic	ADJ
cana-4547	106	13	mechanisms	mechanism	NOUN
cana-4547	106	14	,	,	PUNCT
cana-4547	106	15	improving	improve	VERB
cana-4547	106	16	zero	zero	NUM
cana-4547	106	17	-	-	PUNCT
cana-4547	106	18	trust	trust	NOUN
cana-4547	106	19	security	security	NOUN
cana-4547	106	20	models	model	NOUN
cana-4547	106	21	,	,	PUNCT
cana-4547	106	22	and	and	CCONJ
cana-4547	106	23	optimizing	optimize	VERB
cana-4547	106	24	lightweight	lightweight	ADJ
cana-4547	106	25	biometric	biometric	ADJ
cana-4547	106	26	authentication	authentication	NOUN
cana-4547	106	27	for	for	ADP
cana-4547	106	28	edge	edge	NOUN
cana-4547	106	29	devices	device	NOUN
cana-4547	106	30	.	.	PUNCT
cana-4547	107	1	developing	develop	VERB
cana-4547	107	2	ai	ai	NOUN
cana-4547	107	3	-	-	PUNCT
cana-4547	107	4	based	base	VERB
cana-4547	107	5	threat	threat	NOUN
cana-4547	107	6	intelligence	intelligence	NOUN
cana-4547	107	7	for	for	ADP
cana-4547	107	8	real	real	ADJ
cana-4547	107	9	-	-	PUNCT
cana-4547	107	10	time	time	NOUN
cana-4547	107	11	anomaly	anomaly	NOUN
cana-4547	107	12	detection	detection	NOUN
cana-4547	107	13	,	,	PUNCT
cana-4547	107	14	behavioral	behavioral	ADJ
cana-4547	107	15	biometrics	biometric	NOUN
cana-4547	107	16	for	for	ADP
cana-4547	107	17	continuous	continuous	ADJ
cana-4547	107	18	authentication	authentication	NOUN
cana-4547	107	19	,	,	PUNCT
cana-4547	107	20	and	and	CCONJ
cana-4547	107	21	homomorphic	homomorphic	ADJ
cana-4547	107	22	encryption	encryption	NOUN
cana-4547	107	23	for	for	ADP
cana-4547	107	24	privacy	privacy	NOUN
cana-4547	107	25	-	-	PUNCT
cana-4547	107	26	preserving	preserve	VERB
cana-4547	107	27	biometric	biometric	ADJ
cana-4547	107	28	data	datum	NOUN
cana-4547	107	29	processing	processing	NOUN
cana-4547	107	30	will	will	AUX
cana-4547	107	31	redefine	redefine	VERB
cana-4547	107	32	intelligent	intelligent	ADJ
cana-4547	107	33	,	,	PUNCT
cana-4547	107	34	adaptive	adaptive	ADJ
cana-4547	107	35	,	,	PUNCT
cana-4547	107	36	and	and	CCONJ
cana-4547	107	37	highly	highly	ADV
cana-4547	107	38	resilient	resilient	ADJ
cana-4547	107	39	cybersecurity	cybersecurity	NOUN
cana-4547	107	40	frameworks	framework	NOUN
cana-4547	107	41	for	for	ADP
cana-4547	107	42	the	the	DET
cana-4547	107	43	future	future	NOUN
cana-4547	107	44	.	.	PUNCT
cana-4547	108	1	the	the	DET
cana-4547	108	2	meeting	meeting	NOUN
cana-4547	108	3	of	of	ADP
cana-4547	108	4	deep	deep	ADJ
cana-4547	108	5	learning	learning	NOUN
cana-4547	108	6	,	,	PUNCT
cana-4547	108	7	cryptography	cryptography	NOUN
cana-4547	108	8	resilience	resilience	NOUN
cana-4547	108	9	,	,	PUNCT
cana-4547	108	10	and	and	CCONJ
cana-4547	108	11	multimodal	multimodal	NOUN
cana-4547	108	12	authentication	authentication	NOUN
cana-4547	108	13	can	can	AUX
cana-4547	108	14	hold	hold	VERB
cana-4547	108	15	great	great	ADJ
cana-4547	108	16	promise	promise	NOUN
cana-4547	108	17	for	for	ADP
cana-4547	108	18	the	the	DET
cana-4547	108	19	future	future	NOUN
cana-4547	108	20	,	,	PUNCT
cana-4547	108	21	especially	especially	ADV
cana-4547	108	22	in	in	ADP
cana-4547	108	23	terms	term	NOUN
cana-4547	108	24	of	of	ADP
cana-4547	108	25	securing	secure	VERB
cana-4547	108	26	biometric	biometric	ADJ
cana-4547	108	27	applications	application	NOUN
cana-4547	108	28	in	in	ADP
cana-4547	108	29	the	the	DET
cana-4547	108	30	financial	financial	ADJ
cana-4547	108	31	,	,	PUNCT
cana-4547	108	32	health	health	NOUN
cana-4547	108	33	care	care	NOUN
cana-4547	108	34	,	,	PUNCT
cana-4547	108	35	and	and	CCONJ
cana-4547	108	36	enterprise	enterprise	NOUN
cana-4547	108	37	security	security	NOUN
cana-4547	108	38	domains	domain	NOUN
cana-4547	108	39	.	.	PUNCT
cana-4547	109	1	3	3	X
cana-4547	109	2	.	.	NUM
cana-4547	109	3	proposed	propose	VERB
cana-4547	109	4	model	model	NOUN
cana-4547	109	5	design	design	NOUN
cana-4547	109	6	analysis	analysis	NOUN
cana-4547	109	7	to	to	PART
cana-4547	109	8	enhance	enhance	VERB
cana-4547	109	9	the	the	DET
cana-4547	109	10	efficiency	efficiency	NOUN
cana-4547	109	11	and	and	CCONJ
cana-4547	109	12	to	to	PART
cana-4547	109	13	lower	lower	VERB
cana-4547	109	14	operational	operational	ADJ
cana-4547	109	15	complexity	complexity	NOUN
cana-4547	109	16	,	,	PUNCT
cana-4547	109	17	the	the	DET
cana-4547	109	18	section	section	NOUN
cana-4547	109	19	discusses	discuss	VERB
cana-4547	109	20	an	an	DET
cana-4547	109	21	adaptive	adaptive	ADJ
cana-4547	109	22	multimodel	multimodel	NOUN
cana-4547	109	23	feature	feature	NOUN
cana-4547	109	24	fusion	fusion	NOUN
cana-4547	109	25	transformer	transformer	NOUN
cana-4547	109	26	(	(	PUNCT
cana-4547	109	27	amfft	amfft	PROPN
cana-4547	109	28	)	)	PUNCT
cana-4547	109	29	,	,	PUNCT
cana-4547	109	30	which	which	PRON
cana-4547	109	31	is	be	AUX
cana-4547	109	32	developed	develop	VERB
cana-4547	109	33	to	to	PART
cana-4547	109	34	dynamically	dynamically	ADV
cana-4547	109	35	coalesce	coalesce	VERB
cana-4547	109	36	multiple	multiple	ADJ
cana-4547	109	37	biometric	biometric	ADJ
cana-4547	109	38	modalities	modality	NOUN
cana-4547	109	39	in	in	ADP
cana-4547	109	40	such	such	DET
cana-4547	109	41	a	a	DET
cana-4547	109	42	way	way	NOUN
cana-4547	109	43	to	to	PART
cana-4547	109	44	attain	attain	VERB
cana-4547	109	45	robustness	robustness	NOUN
cana-4547	109	46	against	against	ADP
cana-4547	109	47	spoofing	spoof	VERB
cana-4547	109	48	and	and	CCONJ
cana-4547	109	49	adversarial	adversarial	ADJ
cana-4547	109	50	threats	threat	NOUN
cana-4547	109	51	while	while	SCONJ
cana-4547	109	52	retaining	retain	VERB
cana-4547	109	53	an	an	DET
cana-4547	109	54	efficient	efficient	ADJ
cana-4547	109	55	computational	computational	ADJ
cana-4547	109	56	requirement	requirement	NOUN
cana-4547	109	57	set	set	NOUN
cana-4547	109	58	.	.	PUNCT
cana-4547	110	1	initially	initially	ADV
cana-4547	110	2	,	,	PUNCT
cana-4547	110	3	as	as	SCONJ
cana-4547	110	4	shown	show	VERB
cana-4547	110	5	in	in	ADP
cana-4547	110	6	figure	figure	NOUN
cana-4547	110	7	1	1	NUM
cana-4547	110	8	,	,	PUNCT
cana-4547	110	9	the	the	DET
cana-4547	110	10	amfft	amfft	PROPN
cana-4547	110	11	framework	framework	NOUN
cana-4547	110	12	uses	use	VERB
cana-4547	110	13	a	a	DET
cana-4547	110	14	multi	multi	ADJ
cana-4547	110	15	-	-	ADJ
cana-4547	110	16	head	head	ADJ
cana-4547	110	17	self	self	NOUN
cana-4547	110	18	-	-	PUNCT
cana-4547	110	19	attention	attention	NOUN
cana-4547	110	20	(	(	PUNCT
cana-4547	110	21	mhsa	mhsa	NOUN
cana-4547	110	22	)	)	PUNCT
cana-4547	110	23	mechanism	mechanism	NOUN
cana-4547	110	24	for	for	ADP
cana-4547	110	25	establishing	establish	VERB
cana-4547	110	26	interdependencies	interdependency	NOUN
cana-4547	110	27	communications	communication	NOUN
cana-4547	110	28	on	on	ADP
cana-4547	110	29	applied	apply	VERB
cana-4547	110	30	nonlinear	nonlinear	ADJ
cana-4547	110	31	analysis	analysis	NOUN
cana-4547	110	32	issn	issn	NOUN
cana-4547	110	33	:	:	PUNCT
cana-4547	110	34	1074	1074	NUM
cana-4547	110	35	-	-	PUNCT
cana-4547	110	36	133x	133x	NUM
cana-4547	110	37	vol	vol	NOUN
cana-4547	110	38	32	32	NUM
cana-4547	110	39	no	no	NOUN
cana-4547	110	40	.	.	PUNCT
cana-4547	111	1	9s	9s	NUM
cana-4547	111	2	(	(	PUNCT
cana-4547	111	3	2025	2025	NUM
cana-4547	111	4	)	)	PUNCT
cana-4547	111	5	2663	2663	NUM
cana-4547	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	112	1	among	among	ADP
cana-4547	112	2	facial	facial	ADJ
cana-4547	112	3	embeddings	embedding	NOUN
cana-4547	112	4	‘	'	PUNCT
cana-4547	112	5	𝐹	𝐹	PROPN
cana-4547	112	6	’	'	PUNCT
cana-4547	112	7	,	,	PUNCT
cana-4547	112	8	voice	voice	NOUN
cana-4547	112	9	spectrogram	spectrogram	NOUN
cana-4547	112	10	embeddings	embedding	NOUN
cana-4547	112	11	𝑉	𝑉	ADJ
cana-4547	112	12	and	and	CCONJ
cana-4547	112	13	fingerprint	fingerprint	NOUN
cana-4547	112	14	embeddings	embedding	NOUN
cana-4547	112	15	𝑃	𝑃	NOUN
cana-4547	112	16	for	for	ADP
cana-4547	112	17	the	the	DET
cana-4547	112	18	process	process	NOUN
cana-4547	112	19	.	.	PUNCT
cana-4547	113	1	figure	figure	NOUN
cana-4547	113	2	1	1	NUM
cana-4547	113	3	.	.	PUNCT
cana-4547	114	1	overall	overall	ADJ
cana-4547	114	2	flow	flow	NOUN
cana-4547	114	3	of	of	ADP
cana-4547	114	4	the	the	DET
cana-4547	114	5	proposed	propose	VERB
cana-4547	114	6	analysis	analysis	NOUN
cana-4547	114	7	process	process	NOUN
cana-4547	114	8	the	the	DET
cana-4547	114	9	feature	feature	NOUN
cana-4547	114	10	embeddings	embedding	NOUN
cana-4547	114	11	𝑋={𝐹,𝑉,𝑃	𝑋={𝐹,𝑉,𝑃	PROPN
cana-4547	114	12	}	}	PUNCT
cana-4547	114	13	extracted	extract	VERB
cana-4547	114	14	thus	thus	ADV
cana-4547	114	15	will	will	AUX
cana-4547	114	16	have	have	VERB
cana-4547	114	17	the	the	DET
cana-4547	114	18	attention	attention	NOUN
cana-4547	114	19	mechanism	mechanism	NOUN
cana-4547	114	20	to	to	PART
cana-4547	114	21	learn	learn	VERB
cana-4547	114	22	a	a	DET
cana-4547	114	23	weight	weight	NOUN
cana-4547	114	24	relationship	relationship	NOUN
cana-4547	114	25	across	across	ADP
cana-4547	114	26	modalities	modality	NOUN
cana-4547	114	27	.	.	PUNCT
cana-4547	115	1	via	via	ADP
cana-4547	115	2	equation	equation	NOUN
cana-4547	115	3	1	1	NUM
cana-4547	115	4	the	the	DET
cana-4547	115	5	model	model	NOUN
cana-4547	115	6	provides	provide	VERB
cana-4547	115	7	is	be	AUX
cana-4547	115	8	a	a	DET
cana-4547	115	9	way	way	NOUN
cana-4547	115	10	to	to	PART
cana-4547	115	11	compute	compute	VERB
cana-4547	115	12	the	the	DET
cana-4547	115	13	selfattention	selfattention	NOUN
cana-4547	115	14	scores	score	NOUN
cana-4547	115	15	,	,	PUNCT
cana-4547	115	16	𝐴	𝐴	PROPN
cana-4547	115	17	=	=	SYM
cana-4547	115	18	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	PROPN
cana-4547	115	19	(	(	PUNCT
cana-4547	115	20	𝑄𝐾𝑇	𝑄𝐾𝑇	NOUN
cana-4547	115	21	𝑑𝑘	𝑑𝑘	ADV
cana-4547	115	22	)	)	PUNCT
cana-4547	115	23	𝑉	𝑉	PROPN
cana-4547	115	24	…	…	PUNCT
cana-4547	115	25	(	(	PUNCT
cana-4547	115	26	1	1	X
cana-4547	115	27	)	)	PUNCT
cana-4547	115	28	communications	communication	NOUN
cana-4547	115	29	on	on	ADP
cana-4547	115	30	applied	apply	VERB
cana-4547	115	31	nonlinear	nonlinear	ADJ
cana-4547	115	32	analysis	analysis	NOUN
cana-4547	115	33	issn	issn	NOUN
cana-4547	115	34	:	:	PUNCT
cana-4547	115	35	1074	1074	NUM
cana-4547	115	36	-	-	PUNCT
cana-4547	115	37	133x	133x	NUM
cana-4547	115	38	vol	vol	NOUN
cana-4547	115	39	32	32	NUM
cana-4547	115	40	no	no	NOUN
cana-4547	115	41	.	.	PUNCT
cana-4547	116	1	9s	9s	NUM
cana-4547	116	2	(	(	PUNCT
cana-4547	116	3	2025	2025	NUM
cana-4547	116	4	)	)	PUNCT
cana-4547	116	5	2664	2664	NUM
cana-4547	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	116	7	where	where	SCONJ
cana-4547	116	8	,	,	PUNCT
cana-4547	116	9	𝑄	𝑄	PROPN
cana-4547	116	10	,	,	PUNCT
cana-4547	116	11	𝐾	𝐾	PROPN
cana-4547	116	12	,	,	PUNCT
cana-4547	116	13	𝑉	𝑉	PROPN
cana-4547	116	14	are	be	AUX
cana-4547	116	15	the	the	DET
cana-4547	116	16	query	query	NOUN
cana-4547	116	17	,	,	PUNCT
cana-4547	116	18	key	key	ADJ
cana-4547	116	19	,	,	PUNCT
cana-4547	116	20	and	and	CCONJ
cana-4547	116	21	value	value	NOUN
cana-4547	116	22	matrices	matrix	NOUN
cana-4547	116	23	of	of	ADP
cana-4547	116	24	dimension	dimension	NOUN
cana-4547	116	25	𝑑𝑘	𝑑𝑘	ADV
cana-4547	116	26	and	and	CCONJ
cana-4547	116	27	thus	thus	ADV
cana-4547	116	28	keeping	keep	VERB
cana-4547	116	29	attention	attention	NOUN
cana-4547	116	30	scores	score	NOUN
cana-4547	116	31	numerically	numerically	ADV
cana-4547	116	32	stable	stable	ADJ
cana-4547	116	33	in	in	ADP
cana-4547	116	34	such	such	DET
cana-4547	116	35	a	a	DET
cana-4547	116	36	process	process	NOUN
cana-4547	116	37	.	.	PUNCT
cana-4547	117	1	the	the	DET
cana-4547	117	2	dynamic	dynamic	ADJ
cana-4547	117	3	fusion	fusion	NOUN
cana-4547	117	4	process	process	NOUN
cana-4547	117	5	encompasses	encompass	VERB
cana-4547	117	6	context	context	NOUN
cana-4547	117	7	-	-	PUNCT
cana-4547	117	8	aware	aware	ADJ
cana-4547	117	9	gating	gate	VERB
cana-4547	117	10	function	function	NOUN
cana-4547	117	11	(	(	PUNCT
cana-4547	117	12	𝑠	𝑠	NOUN
cana-4547	117	13	)	)	PUNCT
cana-4547	117	14	,	,	PUNCT
cana-4547	117	15	with	with	ADP
cana-4547	117	16	‘	'	PUNCT
cana-4547	117	17	𝑠	𝑠	NOUN
cana-4547	117	18	’	'	PUNCT
cana-4547	117	19	standing	stand	VERB
cana-4547	117	20	for	for	ADP
cana-4547	117	21	real	real	ADJ
cana-4547	117	22	-	-	PUNCT
cana-4547	117	23	time	time	NOUN
cana-4547	117	24	security	security	NOUN
cana-4547	117	25	states	state	NOUN
cana-4547	117	26	.	.	PUNCT
cana-4547	118	1	the	the	DET
cana-4547	118	2	fusion	fusion	NOUN
cana-4547	118	3	decision	decision	NOUN
cana-4547	118	4	at	at	ADP
cana-4547	118	5	time	time	NOUN
cana-4547	118	6	𝑡	𝑡	PROPN
cana-4547	118	7	is	be	AUX
cana-4547	118	8	determined	determine	VERB
cana-4547	118	9	via	via	ADP
cana-4547	118	10	equation	equation	NOUN
cana-4547	118	11	2	2	NUM
cana-4547	118	12	,	,	PUNCT
cana-4547	118	13	𝑋𝑓	𝑋𝑓	PROPN
cana-4547	118	14	(	(	PUNCT
cana-4547	118	15	𝑡	𝑡	NOUN
cana-4547	118	16	)	)	PUNCT
cana-4547	118	17	=	=	SYM
cana-4547	119	1	𝐺(𝑠	𝐺(𝑠	NUM
cana-4547	119	2	)	)	PUNCT
cana-4547	119	3	⋅	⋅	PROPN
cana-4547	119	4	𝑋𝑒	𝑋𝑒	X
cana-4547	119	5	+	+	CCONJ
cana-4547	119	6	(	(	PUNCT
cana-4547	119	7	1	1	NUM
cana-4547	119	8	−	−	NUM
cana-4547	119	9	𝐺(𝑠	𝐺(𝑠	NUM
cana-4547	119	10	)	)	PUNCT
cana-4547	119	11	)	)	PUNCT
cana-4547	120	1	⋅	⋅	PROPN
cana-4547	120	2	𝑋𝑙	𝑋𝑙	PROPN
cana-4547	120	3	…	…	PUNCT
cana-4547	120	4	(	(	PUNCT
cana-4547	120	5	2	2	NUM
cana-4547	120	6	)	)	PUNCT
cana-4547	120	7	where	where	SCONJ
cana-4547	120	8	,	,	PUNCT
cana-4547	120	9	𝑋𝑒	𝑋𝑒	PROPN
cana-4547	120	10	and	and	CCONJ
cana-4547	120	11	𝑋𝑙	𝑋𝑙	PROPN
cana-4547	120	12	are	be	AUX
cana-4547	120	13	early	early	ADJ
cana-4547	120	14	and	and	CCONJ
cana-4547	120	15	late	late	ADJ
cana-4547	120	16	fusion	fusion	NOUN
cana-4547	120	17	outputs	output	NOUN
cana-4547	120	18	,	,	PUNCT
cana-4547	120	19	respectively	respectively	ADV
cana-4547	120	20	in	in	ADP
cana-4547	120	21	the	the	DET
cana-4547	120	22	process	process	NOUN
cana-4547	120	23	.	.	PUNCT
cana-4547	121	1	the	the	DET
cana-4547	121	2	gating	gate	VERB
cana-4547	121	3	function	function	NOUN
cana-4547	121	4	is	be	AUX
cana-4547	121	5	modeled	model	VERB
cana-4547	121	6	using	use	VERB
cana-4547	121	7	a	a	DET
cana-4547	121	8	sigmoidal	sigmoidal	ADJ
cana-4547	121	9	activation	activation	NOUN
cana-4547	121	10	via	via	ADP
cana-4547	121	11	equation	equation	NOUN
cana-4547	121	12	3	3	NUM
cana-4547	121	13	,	,	PUNCT
cana-4547	121	14	𝐺(𝑠	𝐺(𝑠	NUM
cana-4547	121	15	)	)	PUNCT
cana-4547	121	16	=	=	SYM
cana-4547	121	17	1	1	NUM
cana-4547	121	18	1	1	NUM
cana-4547	121	19	+	+	NUM
cana-4547	121	20	𝑒−𝛼𝑠	𝑒−𝛼𝑠	NOUN
cana-4547	121	21	…	…	PUNCT
cana-4547	121	22	(	(	PUNCT
cana-4547	121	23	3	3	NUM
cana-4547	121	24	)	)	PUNCT
cana-4547	121	25	where	where	SCONJ
cana-4547	121	26	,	,	PUNCT
cana-4547	121	27	‘	'	PUNCT
cana-4547	121	28	𝛼	𝛼	X
cana-4547	121	29	’	'	PUNCT
cana-4547	121	30	,	,	PUNCT
cana-4547	121	31	then	then	ADV
cana-4547	121	32	,	,	PUNCT
cana-4547	121	33	controls	control	VERB
cana-4547	121	34	sensitivity	sensitivity	NOUN
cana-4547	121	35	to	to	ADP
cana-4547	121	36	security	security	NOUN
cana-4547	121	37	fluctuations	fluctuation	NOUN
cana-4547	121	38	.	.	PUNCT
cana-4547	122	1	authentication	authentication	NOUN
cana-4547	122	2	score	score	NOUN
cana-4547	122	3	𝑌	𝑌	PROPN
cana-4547	122	4	is	be	AUX
cana-4547	122	5	yielded	yield	VERB
cana-4547	122	6	by	by	ADP
cana-4547	122	7	the	the	DET
cana-4547	122	8	fully	fully	ADV
cana-4547	122	9	connected	connect	VERB
cana-4547	122	10	layer	layer	NOUN
cana-4547	122	11	followed	follow	VERB
cana-4547	122	12	by	by	ADP
cana-4547	122	13	the	the	DET
cana-4547	122	14	softmax	softmax	NOUN
cana-4547	122	15	function	function	NOUN
cana-4547	122	16	,	,	PUNCT
cana-4547	122	17	processing	process	VERB
cana-4547	122	18	the	the	DET
cana-4547	122	19	fused	fuse	VERB
cana-4547	122	20	embeddings	embedding	NOUN
cana-4547	122	21	,	,	PUNCT
cana-4547	122	22	via	via	ADP
cana-4547	122	23	equation	equation	NOUN
cana-4547	122	24	4	4	NUM
cana-4547	122	25	,	,	PUNCT
cana-4547	122	26	𝑌	𝑌	PROPN
cana-4547	122	27	=	=	PUNCT
cana-4547	122	28	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑋𝑓	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑊𝑋𝑓	PROPN
cana-4547	123	1	+	+	CCONJ
cana-4547	123	2	𝑏	𝑏	NOUN
cana-4547	123	3	)	)	PUNCT
cana-4547	123	4	…	…	PUNCT
cana-4547	123	5	(	(	PUNCT
cana-4547	123	6	4	4	X
cana-4547	123	7	)	)	PUNCT
cana-4547	123	8	where	where	SCONJ
cana-4547	123	9	,	,	PUNCT
cana-4547	123	10	‘	'	PUNCT
cana-4547	123	11	𝑊	𝑊	NOUN
cana-4547	123	12	’	'	PUNCT
cana-4547	123	13	and	and	CCONJ
cana-4547	123	14	‘	'	PUNCT
cana-4547	123	15	𝑏	𝑏	X
cana-4547	123	16	’	'	PUNCT
cana-4547	123	17	are	be	AUX
cana-4547	123	18	learnable	learnable	ADJ
cana-4547	123	19	weight	weight	NOUN
cana-4547	123	20	parameters	parameter	NOUN
cana-4547	123	21	in	in	ADP
cana-4547	123	22	the	the	DET
cana-4547	123	23	process	process	NOUN
cana-4547	123	24	.	.	PUNCT
cana-4547	124	1	iteratively	iteratively	ADV
cana-4547	124	2	,	,	PUNCT
cana-4547	124	3	next	next	ADV
cana-4547	124	4	,	,	PUNCT
cana-4547	124	5	as	as	ADP
cana-4547	124	6	for	for	ADP
cana-4547	124	7	figure	figure	NOUN
cana-4547	124	8	1	1	NUM
cana-4547	124	9	,	,	PUNCT
cana-4547	124	10	the	the	DET
cana-4547	124	11	differentially	differentially	ADV
cana-4547	124	12	private	private	ADJ
cana-4547	124	13	adversarial	adversarial	ADJ
cana-4547	124	14	training	training	NOUN
cana-4547	124	15	(	(	PUNCT
cana-4547	124	16	dpat	dpat	NOUN
cana-4547	124	17	)	)	PUNCT
cana-4547	124	18	module	module	NOUN
cana-4547	124	19	enhance	enhance	NOUN
cana-4547	124	20	robustness	robustness	NOUN
cana-4547	124	21	on	on	ADP
cana-4547	124	22	adversarial	adversarial	ADJ
cana-4547	124	23	attacks	attack	NOUN
cana-4547	124	24	through	through	ADP
cana-4547	124	25	dp	dp	ADJ
cana-4547	124	26	-	-	PUNCT
cana-4547	124	27	sgd	sgd	NOUN
cana-4547	124	28	introduced	introduce	VERB
cana-4547	124	29	into	into	ADP
cana-4547	124	30	model	model	NOUN
cana-4547	124	31	training	training	NOUN
cana-4547	124	32	process	process	NOUN
cana-4547	124	33	.	.	PUNCT
cana-4547	125	1	the	the	DET
cana-4547	125	2	objective	objective	ADJ
cana-4547	125	3	function	function	NOUN
cana-4547	125	4	with	with	ADP
cana-4547	125	5	noise	noise	NOUN
cana-4547	125	6	produced	produce	VERB
cana-4547	125	7	by	by	ADP
cana-4547	125	8	differentially	differentially	ADV
cana-4547	125	9	private	private	ADJ
cana-4547	125	10	noise	noise	NOUN
cana-4547	125	11	n	n	CCONJ
cana-4547	125	12	(	(	PUNCT
cana-4547	125	13	0	0	NUM
cana-4547	125	14	,	,	PUNCT
cana-4547	125	15	sigma	sigma	PROPN
cana-4547	125	16	)	)	PUNCT
cana-4547	125	17	is	be	AUX
cana-4547	125	18	defined	define	VERB
cana-4547	125	19	via	via	ADP
cana-4547	125	20	equation	equation	NOUN
cana-4547	125	21	5	5	NUM
cana-4547	125	22	,	,	PUNCT
cana-4547	125	23	𝐿𝐷𝑃𝐴𝑇	𝐿𝐷𝑃𝐴𝑇	PROPN
cana-4547	125	24	=	=	SYM
cana-4547	125	25	𝐸	𝐸	PROPN
cana-4547	125	26	[	[	PUNCT
cana-4547	125	27	∑𝑙𝑜𝑔	∑𝑙𝑜𝑔	NOUN
cana-4547	125	28	𝑃(𝑦𝑖	𝑃(𝑦𝑖	ADV
cana-4547	125	29	|	|	ADV
cana-4547	125	30	𝑋𝑖	𝑋𝑖	PROPN
cana-4547	125	31	)	)	PUNCT
cana-4547	125	32	+	+	CCONJ
cana-4547	125	33	𝜆	𝜆	X
cana-4547	125	34	∥	∥	PUNCT
cana-4547	125	35	𝛻𝑊	𝛻𝑊	NOUN
cana-4547	125	36	+	+	CCONJ
cana-4547	125	37	𝑁(0	𝑁(0	NUM
cana-4547	125	38	,	,	PUNCT
cana-4547	125	39	𝜎²	𝜎²	NOUN
cana-4547	125	40	)	)	PUNCT
cana-4547	125	41	∥	∥	PUNCT
cana-4547	125	42	²	²	NUM
cana-4547	125	43	]	]	PUNCT
cana-4547	125	44	…	…	PUNCT
cana-4547	125	45	(	(	PUNCT
cana-4547	125	46	5	5	NUM
cana-4547	125	47	)	)	PUNCT
cana-4547	125	48	where	where	SCONJ
cana-4547	125	49	,	,	PUNCT
cana-4547	125	50	𝜆	𝜆	PRON
cana-4547	125	51	is	be	AUX
cana-4547	125	52	a	a	DET
cana-4547	125	53	regularization	regularization	NOUN
cana-4547	125	54	coefficient	coefficient	NOUN
cana-4547	125	55	controlling	control	VERB
cana-4547	125	56	privacy	privacy	NOUN
cana-4547	125	57	loss	loss	NOUN
cana-4547	125	58	‘	'	PUNCT
cana-4547	125	59	𝜖	𝜖	NOUN
cana-4547	125	60	’	'	PUNCT
cana-4547	125	61	sets	set	NOUN
cana-4547	125	62	.	.	PUNCT
cana-4547	126	1	adversarial	adversarial	ADJ
cana-4547	126	2	samples	sample	NOUN
cana-4547	126	3	are	be	AUX
cana-4547	126	4	produced	produce	VERB
cana-4547	126	5	by	by	ADP
cana-4547	126	6	projected	project	VERB
cana-4547	126	7	gradient	gradient	ADJ
cana-4547	126	8	descent	descent	NOUN
cana-4547	126	9	(	(	PUNCT
cana-4547	126	10	pgd	pgd	PROPN
cana-4547	126	11	)	)	PUNCT
cana-4547	126	12	where	where	SCONJ
cana-4547	126	13	the	the	DET
cana-4547	126	14	computation	computation	NOUN
cana-4547	126	15	process	process	NOUN
cana-4547	126	16	relies	rely	VERB
cana-4547	126	17	on	on	ADP
cana-4547	126	18	the	the	DET
cana-4547	126	19	iterative	iterative	NOUN
cana-4547	126	20	steps	step	NOUN
cana-4547	126	21	that	that	PRON
cana-4547	126	22	yield	yield	VERB
cana-4547	126	23	adversarial	adversarial	ADJ
cana-4547	126	24	perturbation	perturbation	NOUN
cana-4547	126	25	𝛿	𝛿	NOUN
cana-4547	126	26	via	via	ADP
cana-4547	126	27	equation	equation	NOUN
cana-4547	126	28	6	6	NUM
cana-4547	126	29	,	,	PUNCT
cana-4547	126	30	𝛿(𝑡	𝛿(𝑡	PROPN
cana-4547	126	31	+	+	CCONJ
cana-4547	126	32	1	1	X
cana-4547	126	33	)	)	PUNCT
cana-4547	126	34	=	=	PRON
cana-4547	127	1	𝑃𝑟𝑜𝑗(𝛿𝑡	𝑃𝑟𝑜𝑗(𝛿𝑡	NUM
cana-4547	128	1	+	+	CCONJ
cana-4547	128	2	𝜂	𝜂	DET
cana-4547	128	3	⋅	⋅	PROPN
cana-4547	128	4	𝑠𝑖𝑔𝑛(𝛻𝑋	𝑠𝑖𝑔𝑛(𝛻𝑋	ADJ
cana-4547	128	5	𝐿𝐷𝑃𝐴𝑇	𝐿𝐷𝑃𝐴𝑇	PROPN
cana-4547	128	6	)	)	PUNCT
cana-4547	128	7	)	)	PUNCT
cana-4547	128	8	…	…	PUNCT
cana-4547	128	9	(	(	PUNCT
cana-4547	128	10	6	6	NUM
cana-4547	128	11	)	)	PUNCT
cana-4547	128	12	where	where	SCONJ
cana-4547	128	13	,	,	PUNCT
cana-4547	128	14	𝜂	𝜂	PROPN
cana-4547	128	15	is	be	AUX
cana-4547	128	16	the	the	DET
cana-4547	128	17	step	step	NOUN
cana-4547	128	18	size	size	NOUN
cana-4547	128	19	,	,	PUNCT
cana-4547	128	20	ensuring	ensure	VERB
cana-4547	128	21	bounded	bounded	ADJ
cana-4547	128	22	perturbations	perturbation	NOUN
cana-4547	128	23	.	.	PUNCT
cana-4547	129	1	the	the	DET
cana-4547	129	2	differentially	differentially	ADV
cana-4547	129	3	private	private	ADJ
cana-4547	129	4	update	update	NOUN
cana-4547	129	5	rule	rule	NOUN
cana-4547	129	6	modifies	modify	VERB
cana-4547	129	7	standard	standard	ADJ
cana-4547	129	8	sgd	sgd	NOUN
cana-4547	129	9	by	by	ADP
cana-4547	129	10	adding	add	VERB
cana-4547	129	11	gaussian	gaussian	ADJ
cana-4547	129	12	noise	noise	NOUN
cana-4547	129	13	via	via	ADP
cana-4547	129	14	equation	equation	NOUN
cana-4547	129	15	7	7	NUM
cana-4547	129	16	,	,	PUNCT
cana-4547	129	17	𝑊(𝑡	𝑊(𝑡	VERB
cana-4547	129	18	+	+	NOUN
cana-4547	129	19	1	1	X
cana-4547	129	20	)	)	PUNCT
cana-4547	129	21	=	=	PUNCT
cana-4547	130	1	𝑊𝑡	𝑊𝑡	PROPN
cana-4547	130	2	−	−	NOUN
cana-4547	130	3	𝜂(𝛻𝑊	𝜂(𝛻𝑊	NOUN
cana-4547	130	4	𝐿𝐷𝑃𝐴𝑇	𝐿𝐷𝑃𝐴𝑇	PROPN
cana-4547	130	5	+	+	CCONJ
cana-4547	130	6	𝑁(0	𝑁(0	PROPN
cana-4547	130	7	,	,	PUNCT
cana-4547	130	8	𝜎2))(7	𝜎2))(7	PROPN
cana-4547	130	9	)	)	PUNCT
cana-4547	130	10	thus	thus	ADV
cana-4547	130	11	,	,	PUNCT
cana-4547	130	12	ensuring	ensure	VERB
cana-4547	130	13	individual	individual	ADJ
cana-4547	130	14	biometric	biometric	ADJ
cana-4547	130	15	samples	sample	NOUN
cana-4547	130	16	do	do	AUX
cana-4547	130	17	not	not	PART
cana-4547	130	18	harm	harm	VERB
cana-4547	130	19	any	any	DET
cana-4547	130	20	sets	set	NOUN
cana-4547	130	21	of	of	ADP
cana-4547	130	22	privacy	privacy	NOUN
cana-4547	130	23	.	.	PUNCT
cana-4547	131	1	the	the	DET
cana-4547	131	2	spoof	spoof	NOUN
cana-4547	131	3	-	-	PUNCT
cana-4547	131	4	resistant	resistant	ADJ
cana-4547	131	5	multimodal	multimodal	NOUN
cana-4547	131	6	attention	attention	NOUN
cana-4547	131	7	transformer	transformer	NOUN
cana-4547	131	8	(	(	PUNCT
cana-4547	131	9	sma	sma	NOUN
cana-4547	131	10	-	-	PUNCT
cana-4547	131	11	transformer	transformer	NOUN
cana-4547	131	12	)	)	PUNCT
cana-4547	131	13	responds	respond	VERB
cana-4547	131	14	to	to	ADP
cana-4547	131	15	the	the	DET
cana-4547	131	16	modes	mode	NOUN
cana-4547	131	17	of	of	ADP
cana-4547	131	18	detection	detection	NOUN
cana-4547	131	19	of	of	ADP
cana-4547	131	20	spoof	spoof	NOUN
cana-4547	131	21	and	and	CCONJ
cana-4547	131	22	integration	integration	NOUN
cana-4547	131	23	across	across	ADP
cana-4547	131	24	modalities	modality	NOUN
cana-4547	131	25	.	.	PUNCT
cana-4547	132	1	each	each	DET
cana-4547	132	2	one	one	NUM
cana-4547	132	3	of	of	ADP
cana-4547	132	4	biometric	biometric	NOUN
cana-4547	132	5	embedding	embed	VERB
cana-4547	132	6	𝑋𝑚	𝑋𝑚	PROPN
cana-4547	132	7	=	=	SYM
cana-4547	132	8	{	{	PUNCT
cana-4547	132	9	𝐹	𝐹	PROPN
cana-4547	132	10	,	,	PUNCT
cana-4547	132	11	,	,	PUNCT
cana-4547	132	12	}	}	PUNCT
cana-4547	132	13	is	be	AUX
cana-4547	132	14	treated	treat	VERB
cana-4547	132	15	independently	independently	ADV
cana-4547	132	16	for	for	ADP
cana-4547	132	17	the	the	DET
cana-4547	132	18	detection	detection	NOUN
cana-4547	132	19	of	of	ADP
cana-4547	132	20	spoofing	spoof	VERB
cana-4547	132	21	by	by	ADP
cana-4547	132	22	making	make	VERB
cana-4547	132	23	demand	demand	NOUN
cana-4547	132	24	of	of	ADP
cana-4547	132	25	an	an	DET
cana-4547	132	26	anomaly	anomaly	NOUN
cana-4547	132	27	detection	detection	NOUN
cana-4547	132	28	loss	loss	NOUN
cana-4547	132	29	via	via	ADP
cana-4547	132	30	equation	equation	NOUN
cana-4547	132	31	8	8	NUM
cana-4547	132	32	,	,	PUNCT
cana-4547	132	33	𝐿𝑠𝑝𝑜𝑜𝑓	𝐿𝑠𝑝𝑜𝑜𝑓	PROPN
cana-4547	132	34	=	=	SYM
cana-4547	132	35	∑	∑	PUNCT
cana-4547	132	36	∥	∥	PUNCT
cana-4547	132	37	𝑋𝑚	𝑋𝑚	PROPN
cana-4547	132	38	−	−	PROPN
cana-4547	132	39	�	�	PROPN
cana-4547	132	40	̂	̂	NOUN
cana-4547	132	41	�	�	NOUN
cana-4547	132	42	𝑚	𝑚	PART
cana-4547	132	43	∥2	∥2	NOUN
cana-4547	132	44	…	…	PUNCT
cana-4547	132	45	(	(	PUNCT
cana-4547	132	46	8)	8)	NUM
cana-4547	132	47	where	where	SCONJ
cana-4547	132	48	,	,	PUNCT
cana-4547	132	49	�	�	PROPN
cana-4547	132	50	̂	̂	VERB
cana-4547	132	51	�	�	NOUN
cana-4547	132	52	𝑚	𝑚	NOUN
cana-4547	132	53	represents	represent	VERB
cana-4547	132	54	the	the	DET
cana-4547	132	55	expected	expect	VERB
cana-4547	132	56	feature	feature	NOUN
cana-4547	132	57	distributions	distribution	NOUN
cana-4547	132	58	.	.	PUNCT
cana-4547	133	1	the	the	DET
cana-4547	133	2	cross	cross	NOUN
cana-4547	133	3	modal	modal	ADJ
cana-4547	133	4	attention	attention	NOUN
cana-4547	133	5	mechanism	mechanism	NOUN
cana-4547	133	6	computes	compute	VERB
cana-4547	133	7	coherence	coherence	NOUN
cana-4547	133	8	via	via	ADP
cana-4547	133	9	equation	equation	NOUN
cana-4547	133	10	9	9	NUM
cana-4547	133	11	,	,	PUNCT
cana-4547	133	12	𝐶(𝑚	𝐶(𝑚	ADP
cana-4547	133	13	,	,	PUNCT
cana-4547	133	14	𝑛	𝑛	NOUN
cana-4547	133	15	)	)	PUNCT
cana-4547	133	16	=	=	SYM
cana-4547	134	1	𝑋𝑚	𝑋𝑚	PROPN
cana-4547	134	2	⋅	⋅	ADJ
cana-4547	134	3	𝑋𝑛𝑇	𝑋𝑛𝑇	NOUN
cana-4547	134	4	∥	∥	PUNCT
cana-4547	134	5	𝑋𝑚	𝑋𝑚	PROPN
cana-4547	134	6	∥∥	∥∥	X
cana-4547	134	7	𝑋𝑛	𝑋𝑛	VERB
cana-4547	134	8	∥	∥	X
cana-4547	134	9	…	…	PUNCT
cana-4547	134	10	(	(	PUNCT
cana-4547	134	11	9	9	NUM
cana-4547	134	12	)	)	PUNCT
cana-4547	134	13	where	where	SCONJ
cana-4547	134	14	,	,	PUNCT
cana-4547	134	15	(	(	PUNCT
cana-4547	134	16	𝑚	𝑚	NOUN
cana-4547	134	17	,	,	PUNCT
cana-4547	134	18	)	)	PUNCT
cana-4547	134	19	quantifies	quantifie	NOUN
cana-4547	134	20	modality	modality	NOUN
cana-4547	134	21	agreement	agreement	NOUN
cana-4547	134	22	,	,	PUNCT
cana-4547	134	23	ensuring	ensure	VERB
cana-4547	134	24	that	that	SCONJ
cana-4547	134	25	deepfake	deepfake	NOUN
cana-4547	134	26	or	or	CCONJ
cana-4547	134	27	spoofed	spoof	VERB
cana-4547	134	28	samples	sample	NOUN
cana-4547	134	29	exhibit	exhibit	VERB
cana-4547	134	30	inconsistency	inconsistency	NOUN
cana-4547	134	31	sets	set	NOUN
cana-4547	134	32	.	.	PUNCT
cana-4547	135	1	the	the	DET
cana-4547	135	2	final	final	ADJ
cana-4547	135	3	spoof	spoof	ADJ
cana-4547	135	4	probability	probability	NOUN
cana-4547	135	5	‘	'	PUNCT
cana-4547	135	6	𝑆	𝑆	PROPN
cana-4547	135	7	’	'	PUNCT
cana-4547	135	8	is	be	AUX
cana-4547	135	9	obtained	obtain	VERB
cana-4547	135	10	via	via	ADP
cana-4547	135	11	equation	equation	NOUN
cana-4547	135	12	10	10	NUM
cana-4547	135	13	,	,	PUNCT
cana-4547	135	14	communications	communication	NOUN
cana-4547	135	15	on	on	ADP
cana-4547	135	16	applied	apply	VERB
cana-4547	135	17	nonlinear	nonlinear	ADJ
cana-4547	135	18	analysis	analysis	NOUN
cana-4547	135	19	issn	issn	NOUN
cana-4547	135	20	:	:	PUNCT
cana-4547	135	21	1074	1074	NUM
cana-4547	135	22	-	-	PUNCT
cana-4547	135	23	133x	133x	NUM
cana-4547	135	24	vol	vol	NOUN
cana-4547	135	25	32	32	NUM
cana-4547	135	26	no	no	NOUN
cana-4547	135	27	.	.	PUNCT
cana-4547	136	1	9s	9s	NUM
cana-4547	136	2	(	(	PUNCT
cana-4547	136	3	2025	2025	NUM
cana-4547	136	4	)	)	PUNCT
cana-4547	136	5	2665	2665	NUM
cana-4547	137	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	137	2	𝑆	𝑆	PROPN
cana-4547	137	3	=	=	SYM
cana-4547	137	4	1	1	NUM
cana-4547	137	5	−	−	NOUN
cana-4547	137	6	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	NOUN
cana-4547	137	7	(	(	PUNCT
cana-4547	137	8	∑	∑	ADV
cana-4547	137	9	𝐶(𝑚	𝐶(𝑚	PROPN
cana-4547	137	10	,	,	PUNCT
cana-4547	137	11	𝑛	𝑛	NOUN
cana-4547	137	12	)	)	PUNCT
cana-4547	137	13	(	(	PUNCT
cana-4547	137	14	𝑚,𝑛	𝑚,𝑛	PROPN
cana-4547	137	15	)	)	PUNCT
cana-4547	137	16	)	)	PUNCT
cana-4547	137	17	…	…	PUNCT
cana-4547	137	18	(	(	PUNCT
cana-4547	137	19	10	10	NUM
cana-4547	137	20	)	)	PUNCT
cana-4547	137	21	thus	thus	ADV
cana-4547	137	22	triggering	trigger	VERB
cana-4547	137	23	biometric	biometric	ADJ
cana-4547	137	24	rejection	rejection	NOUN
cana-4547	137	25	should	should	AUX
cana-4547	137	26	𝑆	𝑆	PROPN
cana-4547	137	27	have	have	VERB
cana-4547	137	28	values	value	NOUN
cana-4547	137	29	exceeding	exceed	VERB
cana-4547	137	30	the	the	DET
cana-4547	137	31	threshold	threshold	NOUN
cana-4547	137	32	.	.	PUNCT
cana-4547	138	1	next	next	ADV
cana-4547	138	2	,	,	PUNCT
cana-4547	138	3	as	as	ADP
cana-4547	138	4	per	per	ADP
cana-4547	138	5	figure	figure	NOUN
cana-4547	138	6	1	1	NUM
cana-4547	138	7	,	,	PUNCT
cana-4547	138	8	the	the	DET
cana-4547	138	9	ensemble	ensemble	ADJ
cana-4547	138	10	learning	learning	NOUN
cana-4547	138	11	with	with	ADP
cana-4547	138	12	zero	zero	NUM
cana-4547	138	13	-	-	PUNCT
cana-4547	138	14	trust	trust	NOUN
cana-4547	138	15	verification	verification	NOUN
cana-4547	138	16	(	(	PUNCT
cana-4547	138	17	ezv	ezv	NOUN
cana-4547	138	18	-	-	PUNCT
cana-4547	138	19	model	model	NOUN
cana-4547	138	20	)	)	PUNCT
cana-4547	138	21	collects	collect	VERB
cana-4547	138	22	authentication	authentication	NOUN
cana-4547	138	23	scores	score	NOUN
cana-4547	138	24	and	and	CCONJ
cana-4547	138	25	behavioral	behavioral	ADJ
cana-4547	138	26	biometrics	biometric	NOUN
cana-4547	138	27	for	for	ADP
cana-4547	138	28	the	the	DET
cana-4547	138	29	continuous	continuous	ADJ
cana-4547	138	30	verification	verification	NOUN
cana-4547	138	31	process	process	NOUN
cana-4547	138	32	.	.	PUNCT
cana-4547	139	1	formula	formula	NOUN
cana-4547	139	2	for	for	ADP
cana-4547	139	3	an	an	DET
cana-4547	139	4	ensemble	ensemble	ADJ
cana-4547	139	5	decision	decision	NOUN
cana-4547	139	6	function	function	NOUN
cana-4547	139	7	,	,	PUNCT
cana-4547	139	8	𝑍	𝑍	NOUN
cana-4547	139	9	,	,	PUNCT
cana-4547	139	10	is	be	AUX
cana-4547	139	11	constructed	construct	VERB
cana-4547	139	12	via	via	ADP
cana-4547	139	13	equation	equation	NOUN
cana-4547	139	14	11	11	NUM
cana-4547	139	15	whose	whose	DET
cana-4547	139	16	arguments	argument	NOUN
cana-4547	139	17	are	be	AUX
cana-4547	139	18	biometric	biometric	ADJ
cana-4547	139	19	verification	verification	NOUN
cana-4547	139	20	score	score	NOUN
cana-4547	139	21	𝑌𝑚	𝑌𝑚	PROPN
cana-4547	139	22	,	,	PUNCT
cana-4547	139	23	probability	probability	NOUN
cana-4547	139	24	of	of	ADP
cana-4547	139	25	spoofing	spoof	VERB
cana-4547	139	26	𝑆	𝑆	PROPN
cana-4547	139	27	,	,	PUNCT
cana-4547	139	28	and	and	CCONJ
cana-4547	139	29	behavioral	behavioral	ADJ
cana-4547	139	30	features	feature	NOUN
cana-4547	139	31	𝐵	𝐵	PROPN
cana-4547	139	32	,	,	PUNCT
cana-4547	139	33	𝑍	𝑍	PROPN
cana-4547	139	34	=	=	SYM
cana-4547	139	35	𝑤1	𝑤1	VERB
cana-4547	139	36	𝑌	𝑌	PROPN
cana-4547	139	37	+	+	CCONJ
cana-4547	139	38	𝑤2	𝑤2	NOUN
cana-4547	139	39	(	(	PUNCT
cana-4547	139	40	1	1	NUM
cana-4547	139	41	−	−	PROPN
cana-4547	139	42	𝑆	𝑆	PROPN
cana-4547	139	43	)	)	PUNCT
cana-4547	139	44	+	+	CCONJ
cana-4547	139	45	𝑤3	𝑤3	PROPN
cana-4547	139	46	𝐵	𝐵	NOUN
cana-4547	139	47	…	…	PUNCT
cana-4547	139	48	(	(	PUNCT
cana-4547	139	49	11	11	NUM
cana-4547	139	50	)	)	PUNCT
cana-4547	139	51	where	where	SCONJ
cana-4547	139	52	,	,	PUNCT
cana-4547	139	53	𝑤𝑖	𝑤𝑖	PRON
cana-4547	139	54	are	be	AUX
cana-4547	139	55	learned	learn	VERB
cana-4547	139	56	coefficients	coefficient	NOUN
cana-4547	139	57	.	.	PUNCT
cana-4547	140	1	the	the	DET
cana-4547	140	2	zero	zero	NUM
cana-4547	140	3	-	-	PUNCT
cana-4547	140	4	trust	trust	NOUN
cana-4547	140	5	risk	risk	NOUN
cana-4547	140	6	level	level	NOUN
cana-4547	140	7	𝑅	𝑅	PROPN
cana-4547	140	8	is	be	AUX
cana-4547	140	9	computed	compute	VERB
cana-4547	140	10	using	use	VERB
cana-4547	140	11	a	a	DET
cana-4547	140	12	probabilistic	probabilistic	ADJ
cana-4547	140	13	anomaly	anomaly	NOUN
cana-4547	140	14	detection	detection	NOUN
cana-4547	140	15	function	function	NOUN
cana-4547	140	16	via	via	ADP
cana-4547	140	17	equation	equation	NOUN
cana-4547	140	18	12	12	NUM
cana-4547	140	19	,	,	PUNCT
cana-4547	140	20	𝑅	𝑅	NOUN
cana-4547	140	21	=	=	NOUN
cana-4547	140	22	1	1	NUM
cana-4547	140	23	−	−	NOUN
cana-4547	140	24	𝑒−𝛾	𝑒−𝛾	PROPN
cana-4547	140	25	∥𝑍−𝜇∥	∥𝑍−𝜇∥	ADP
cana-4547	140	26	…	…	PUNCT
cana-4547	140	27	(	(	PUNCT
cana-4547	140	28	12	12	NUM
cana-4547	140	29	)	)	PUNCT
cana-4547	140	30	where	where	SCONJ
cana-4547	140	31	,	,	PUNCT
cana-4547	140	32	μ	μ	PROPN
cana-4547	140	33	represents	represent	VERB
cana-4547	140	34	the	the	DET
cana-4547	140	35	baseline	baseline	ADJ
cana-4547	140	36	authentication	authentication	NOUN
cana-4547	140	37	score	score	NOUN
cana-4547	140	38	distribution	distribution	NOUN
cana-4547	140	39	and	and	CCONJ
cana-4547	140	40	γ	γ	NOUN
cana-4547	140	41	scales	scale	VERB
cana-4547	140	42	the	the	DET
cana-4547	140	43	risk	risk	NOUN
cana-4547	140	44	adaptations	adaptation	NOUN
cana-4547	140	45	.	.	PUNCT
cana-4547	141	1	then	then	ADV
cana-4547	141	2	,	,	PUNCT
cana-4547	141	3	as	as	ADP
cana-4547	141	4	per	per	ADP
cana-4547	141	5	figure	figure	NOUN
cana-4547	141	6	1	1	NUM
cana-4547	141	7	,	,	PUNCT
cana-4547	141	8	next	next	ADJ
cana-4547	141	9	iterative	iterative	ADJ
cana-4547	141	10	bit	bit	NOUN
cana-4547	141	11	is	be	AUX
cana-4547	141	12	real	real	ADJ
cana-4547	141	13	-	-	PUNCT
cana-4547	141	14	time	time	NOUN
cana-4547	141	15	behavioral	behavioral	ADJ
cana-4547	141	16	biometric	biometric	ADJ
cana-4547	141	17	security	security	NOUN
cana-4547	141	18	model	model	NOUN
cana-4547	141	19	(	(	PUNCT
cana-4547	141	20	rbb	rbb	PROPN
cana-4547	141	21	-	-	PUNCT
cana-4547	141	22	sec	sec	PROPN
cana-4547	141	23	)	)	PUNCT
cana-4547	141	24	,	,	PUNCT
cana-4547	141	25	which	which	PRON
cana-4547	141	26	improves	improve	VERB
cana-4547	141	27	security	security	NOUN
cana-4547	141	28	by	by	ADP
cana-4547	141	29	modeling	model	VERB
cana-4547	141	30	user	user	NOUN
cana-4547	141	31	behaviors	behavior	NOUN
cana-4547	141	32	and	and	CCONJ
cana-4547	141	33	grouping	group	VERB
cana-4547	141	34	them	they	PRON
cana-4547	141	35	into	into	ADP
cana-4547	141	36	temporal	temporal	ADJ
cana-4547	141	37	instance	instance	NOUN
cana-4547	141	38	sets	set	NOUN
cana-4547	141	39	.	.	PUNCT
cana-4547	142	1	using	use	VERB
cana-4547	142	2	behavioral	behavioral	ADJ
cana-4547	142	3	features	feature	NOUN
cana-4547	142	4	𝐵𝑡	𝐵𝑡	PROPN
cana-4547	142	5	,	,	PUNCT
cana-4547	142	6	a	a	DET
cana-4547	142	7	measure	measure	NOUN
cana-4547	142	8	of	of	ADP
cana-4547	142	9	anomaly	anomaly	NOUN
cana-4547	142	10	is	be	AUX
cana-4547	142	11	derived	derive	VERB
cana-4547	142	12	through	through	ADP
cana-4547	142	13	a	a	DET
cana-4547	142	14	dynamic	dynamic	ADJ
cana-4547	142	15	time	time	NOUN
cana-4547	142	16	warping	warp	VERB
cana-4547	142	17	function	function	NOUN
cana-4547	142	18	via	via	ADP
cana-4547	142	19	equation	equation	NOUN
cana-4547	142	20	13	13	NUM
cana-4547	142	21	:	:	PUNCT
cana-4547	142	22	𝐷(𝐵𝑡	𝐷(𝐵𝑡	PROPN
cana-4547	142	23	,	,	PUNCT
cana-4547	142	24	𝐵𝑟	𝐵𝑟	PROPN
cana-4547	142	25	)	)	PUNCT
cana-4547	142	26	=	=	SYM
cana-4547	142	27	𝑚𝑖𝑛	𝑚𝑖𝑛	NOUN
cana-4547	142	28	∑	∑	PUNCT
cana-4547	142	29	∥	∥	X
cana-4547	143	1	𝐵𝑡	𝐵𝑡	PROPN
cana-4547	143	2	−	−	PROPN
cana-4547	143	3	𝐵𝑟	𝐵𝑟	PROPN
cana-4547	143	4	∥	∥	PUNCT
cana-4547	143	5	…	…	PUNCT
cana-4547	143	6	(	(	PUNCT
cana-4547	143	7	13	13	NUM
cana-4547	143	8	)	)	PUNCT
cana-4547	143	9	where	where	SCONJ
cana-4547	143	10	,	,	PUNCT
cana-4547	143	11	𝐵𝑟	𝐵𝑟	PROPN
cana-4547	143	12	represents	represent	VERB
cana-4547	143	13	the	the	DET
cana-4547	143	14	reference	reference	NOUN
cana-4547	143	15	behavior	behavior	NOUN
cana-4547	143	16	patterns	pattern	NOUN
cana-4547	143	17	.	.	PUNCT
cana-4547	144	1	the	the	DET
cana-4547	144	2	final	final	ADJ
cana-4547	144	3	authentication	authentication	NOUN
cana-4547	144	4	decision	decision	NOUN
cana-4547	144	5	𝐴𝑓	𝐴𝑓	PROPN
cana-4547	144	6	integrates	integrate	VERB
cana-4547	144	7	biometric	biometric	ADJ
cana-4547	144	8	verification	verification	NOUN
cana-4547	144	9	,	,	PUNCT
cana-4547	144	10	spoof	spoof	ADJ
cana-4547	144	11	resistance	resistance	NOUN
cana-4547	144	12	,	,	PUNCT
cana-4547	144	13	and	and	CCONJ
cana-4547	144	14	behavioral	behavioral	ADJ
cana-4547	144	15	security	security	NOUN
cana-4547	144	16	via	via	ADP
cana-4547	144	17	equation	equation	NOUN
cana-4547	144	18	14	14	NUM
cana-4547	144	19	,	,	PUNCT
cana-4547	144	20	𝐴𝑓	𝐴𝑓	PROPN
cana-4547	144	21	=	=	PUNCT
cana-4547	144	22	𝑎𝑟𝑔𝑚𝑎𝑥	𝑎𝑟𝑔𝑚𝑎𝑥	NOUN
cana-4547	144	23	(	(	PUNCT
cana-4547	144	24	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑍	𝑆𝑜𝑓𝑡𝑚𝑎𝑥(𝑍	PROPN
cana-4547	145	1	+	+	CCONJ
cana-4547	145	2	(	(	PUNCT
cana-4547	145	3	1	1	NUM
cana-4547	145	4	−	−	PROPN
cana-4547	145	5	𝑅	𝑅	PROPN
cana-4547	145	6	)	)	PUNCT
cana-4547	145	7	−	−	NOUN
cana-4547	145	8	𝐷(𝐵𝑡	𝐷(𝐵𝑡	PROPN
cana-4547	145	9	,	,	PUNCT
cana-4547	145	10	𝐵𝑟	𝐵𝑟	PROPN
cana-4547	145	11	)	)	PUNCT
cana-4547	145	12	)	)	PUNCT
cana-4547	145	13	)	)	PUNCT
cana-4547	145	14	…	…	PUNCT
cana-4547	145	15	(	(	PUNCT
cana-4547	145	16	14	14	NUM
cana-4547	145	17	)	)	PUNCT
cana-4547	145	18	with	with	ADP
cana-4547	145	19	higher	high	ADJ
cana-4547	145	20	values	value	NOUN
cana-4547	145	21	yielding	yield	VERB
cana-4547	145	22	an	an	DET
cana-4547	145	23	indication	indication	NOUN
cana-4547	145	24	for	for	ADP
cana-4547	145	25	approval	approval	NOUN
cana-4547	145	26	of	of	ADP
cana-4547	145	27	authentication	authentication	NOUN
cana-4547	145	28	processes	process	NOUN
cana-4547	145	29	.	.	PUNCT
cana-4547	146	1	this	this	DET
cana-4547	146	2	design	design	NOUN
cana-4547	146	3	holds	hold	VERB
cana-4547	146	4	an	an	DET
cana-4547	146	5	optimal	optimal	ADJ
cana-4547	146	6	balance	balance	NOUN
cana-4547	146	7	between	between	ADP
cana-4547	146	8	security	security	NOUN
cana-4547	146	9	,	,	PUNCT
cana-4547	146	10	efficiency	efficiency	NOUN
cana-4547	146	11	,	,	PUNCT
cana-4547	146	12	and	and	CCONJ
cana-4547	146	13	usability	usability	NOUN
cana-4547	146	14	through	through	ADP
cana-4547	146	15	the	the	DET
cana-4547	146	16	means	mean	NOUN
cana-4547	146	17	of	of	ADP
cana-4547	146	18	dynamically	dynamically	ADV
cana-4547	146	19	ennobling	ennoble	VERB
cana-4547	146	20	attack	attack	NOUN
cana-4547	146	21	-	-	PUNCT
cana-4547	146	22	relevant	relevant	ADJ
cana-4547	146	23	biometric	biometric	ADJ
cana-4547	146	24	features	feature	NOUN
cana-4547	146	25	,	,	PUNCT
cana-4547	146	26	hence	hence	ADV
cana-4547	146	27	making	make	VERB
cana-4547	146	28	it	it	PRON
cana-4547	146	29	adversarially	adversarially	ADV
cana-4547	146	30	robust	robust	ADJ
cana-4547	146	31	,	,	PUNCT
cana-4547	146	32	spoof	spoof	NOUN
cana-4547	146	33	-	-	PUNCT
cana-4547	146	34	detecting	detecting	NOUN
cana-4547	146	35	,	,	PUNCT
cana-4547	146	36	continuous	continuous	ADJ
cana-4547	146	37	realtime	realtime	NOUN
cana-4547	146	38	authenticity	authenticity	NOUN
cana-4547	146	39	enforcing	enforce	VERB
cana-4547	146	40	,	,	PUNCT
cana-4547	146	41	and	and	CCONJ
cana-4547	146	42	behavioral	behavioral	ADJ
cana-4547	146	43	consistency	consistency	NOUN
cana-4547	146	44	-	-	PUNCT
cana-4547	146	45	monitoring	monitoring	NOUN
cana-4547	146	46	sets	set	NOUN
cana-4547	146	47	.	.	PUNCT
cana-4547	147	1	the	the	DET
cana-4547	147	2	last	last	ADJ
cana-4547	147	3	authentication	authentication	NOUN
cana-4547	147	4	output	output	NOUN
cana-4547	147	5	near	near	ADP
cana-4547	147	6	seamless	seamless	ADJ
cana-4547	147	7	use	use	NOUN
cana-4547	147	8	of	of	ADP
cana-4547	147	9	process	process	NOUN
cana-4547	147	10	shields	shield	NOUN
cana-4547	147	11	against	against	ADP
cana-4547	147	12	biometric	biometric	ADJ
cana-4547	147	13	fraud	fraud	NOUN
cana-4547	147	14	.	.	PUNCT
cana-4547	148	1	efficiency	efficiency	NOUN
cana-4547	148	2	is	be	AUX
cana-4547	148	3	then	then	ADV
cana-4547	148	4	discussed	discuss	VERB
cana-4547	148	5	concerning	concern	VERB
cana-4547	148	6	metrics	metric	NOUN
cana-4547	148	7	of	of	ADP
cana-4547	148	8	the	the	DET
cana-4547	148	9	proposed	propose	VERB
cana-4547	148	10	model	model	NOUN
cana-4547	148	11	,	,	PUNCT
cana-4547	148	12	followed	follow	VERB
cana-4547	148	13	by	by	ADP
cana-4547	148	14	comparative	comparative	ADJ
cana-4547	148	15	studies	study	NOUN
cana-4547	148	16	with	with	ADP
cana-4547	148	17	existing	exist	VERB
cana-4547	148	18	models	model	NOUN
cana-4547	148	19	in	in	ADP
cana-4547	148	20	various	various	ADJ
cana-4547	148	21	scenarios	scenario	NOUN
cana-4547	148	22	.	.	PUNCT
cana-4547	149	1	4	4	X
cana-4547	149	2	.	.	X
cana-4547	149	3	comparative	comparative	ADJ
cana-4547	149	4	result	result	NOUN
cana-4547	149	5	analysis	analysis	NOUN
cana-4547	149	6	the	the	DET
cana-4547	149	7	experimental	experimental	ADJ
cana-4547	149	8	arrangement	arrangement	NOUN
cana-4547	149	9	for	for	ADP
cana-4547	149	10	testing	test	VERB
cana-4547	149	11	the	the	DET
cana-4547	149	12	biometric	biometric	ADJ
cana-4547	149	13	security	security	NOUN
cana-4547	149	14	framework	framework	NOUN
cana-4547	149	15	proposed	propose	VERB
cana-4547	149	16	in	in	ADP
cana-4547	149	17	this	this	DET
cana-4547	149	18	work	work	NOUN
cana-4547	149	19	was	be	AUX
cana-4547	149	20	purposely	purposely	ADV
cana-4547	149	21	executed	execute	VERB
cana-4547	149	22	to	to	PART
cana-4547	149	23	carefully	carefully	ADV
cana-4547	149	24	evaluate	evaluate	VERB
cana-4547	149	25	the	the	DET
cana-4547	149	26	authentication	authentication	NOUN
cana-4547	149	27	accuracy	accuracy	NOUN
cana-4547	149	28	,	,	PUNCT
cana-4547	149	29	adversarial	adversarial	ADJ
cana-4547	149	30	robustness	robustness	NOUN
cana-4547	149	31	,	,	PUNCT
cana-4547	149	32	spoof	spoof	ADJ
cana-4547	149	33	detection	detection	NOUN
cana-4547	149	34	capacity	capacity	NOUN
cana-4547	149	35	,	,	PUNCT
cana-4547	149	36	and	and	CCONJ
cana-4547	149	37	real	real	ADJ
cana-4547	149	38	-	-	PUNCT
cana-4547	149	39	time	time	NOUN
cana-4547	149	40	efficiency	efficiency	NOUN
cana-4547	149	41	of	of	ADP
cana-4547	149	42	the	the	DET
cana-4547	149	43	framework	framework	NOUN
cana-4547	149	44	across	across	ADP
cana-4547	149	45	diverse	diverse	ADJ
cana-4547	149	46	biometric	biometric	ADJ
cana-4547	149	47	conditions	condition	NOUN
cana-4547	149	48	.	.	PUNCT
cana-4547	150	1	the	the	DET
cana-4547	150	2	experiments	experiment	NOUN
cana-4547	150	3	were	be	AUX
cana-4547	150	4	conducted	conduct	VERB
cana-4547	150	5	using	use	VERB
cana-4547	150	6	a	a	DET
cana-4547	150	7	multimodal	multimodal	ADJ
cana-4547	150	8	biometric	biometric	ADJ
cana-4547	150	9	dataset	dataset	NOUN
cana-4547	150	10	comprising	comprise	VERB
cana-4547	150	11	100,000	100,000	NUM
cana-4547	150	12	facial	facial	ADJ
cana-4547	150	13	images	image	NOUN
cana-4547	150	14	,	,	PUNCT
cana-4547	150	15	50,000	50,000	NUM
cana-4547	150	16	voice	voice	NOUN
cana-4547	150	17	samples	sample	NOUN
cana-4547	150	18	,	,	PUNCT
cana-4547	150	19	and	and	CCONJ
cana-4547	150	20	80,000	80,000	NUM
cana-4547	150	21	fingerprint	fingerprint	NOUN
cana-4547	150	22	samples	sample	NOUN
cana-4547	150	23	obtained	obtain	VERB
cana-4547	150	24	from	from	ADP
cana-4547	150	25	publicly	publicly	ADV
cana-4547	150	26	available	available	ADJ
cana-4547	150	27	datasets	dataset	NOUN
cana-4547	150	28	vggface2	vggface2	NOUN
cana-4547	150	29	,	,	PUNCT
cana-4547	150	30	voxceleb2	voxceleb2	NOUN
cana-4547	150	31	,	,	PUNCT
cana-4547	150	32	and	and	CCONJ
cana-4547	150	33	nist	nist	PROPN
cana-4547	150	34	sd302	sd302	PROPN
cana-4547	150	35	.	.	PUNCT
cana-4547	151	1	facial	facial	ADJ
cana-4547	151	2	embeddings	embedding	NOUN
cana-4547	151	3	were	be	AUX
cana-4547	151	4	extracted	extract	VERB
cana-4547	151	5	using	use	VERB
cana-4547	151	6	resnet50	resnet50	NOUN
cana-4547	151	7	and	and	CCONJ
cana-4547	151	8	efficientnet	efficientnet	NOUN
cana-4547	151	9	-	-	PUNCT
cana-4547	151	10	b3	b3	NOUN
cana-4547	151	11	,	,	PUNCT
cana-4547	151	12	while	while	SCONJ
cana-4547	151	13	voice	voice	NOUN
cana-4547	151	14	spectrogram	spectrogram	NOUN
cana-4547	151	15	embeddings	embedding	NOUN
cana-4547	151	16	were	be	AUX
cana-4547	151	17	generated	generate	VERB
cana-4547	151	18	using	use	VERB
cana-4547	151	19	wavenet	wavenet	PROPN
cana-4547	151	20	and	and	CCONJ
cana-4547	151	21	ecapatdnn	ecapatdnn	ADV
cana-4547	151	22	,	,	PUNCT
cana-4547	151	23	and	and	CCONJ
cana-4547	151	24	fingerprint	fingerprint	NOUN
cana-4547	151	25	embeddings	embedding	NOUN
cana-4547	151	26	were	be	AUX
cana-4547	151	27	created	create	VERB
cana-4547	151	28	by	by	ADP
cana-4547	151	29	a	a	DET
cana-4547	151	30	cnn	cnn	PROPN
cana-4547	151	31	-	-	PUNCT
cana-4547	151	32	based	base	VERB
cana-4547	151	33	extractor	extractor	NOUN
cana-4547	151	34	trained	train	VERB
cana-4547	151	35	on	on	ADP
cana-4547	151	36	minutiae	minutia	NOUN
cana-4547	151	37	maps	map	NOUN
cana-4547	151	38	.	.	PUNCT
cana-4547	152	1	communications	communication	NOUN
cana-4547	152	2	on	on	ADP
cana-4547	152	3	applied	apply	VERB
cana-4547	152	4	nonlinear	nonlinear	ADJ
cana-4547	152	5	analysis	analysis	NOUN
cana-4547	152	6	issn	issn	NOUN
cana-4547	152	7	:	:	PUNCT
cana-4547	152	8	1074	1074	NUM
cana-4547	152	9	-	-	PUNCT
cana-4547	152	10	133x	133x	NUM
cana-4547	152	11	vol	vol	NOUN
cana-4547	152	12	32	32	NUM
cana-4547	152	13	no	no	NOUN
cana-4547	152	14	.	.	PUNCT
cana-4547	153	1	9s	9s	NUM
cana-4547	153	2	(	(	PUNCT
cana-4547	153	3	2025	2025	NUM
cana-4547	153	4	)	)	PUNCT
cana-4547	153	5	2666	2666	NUM
cana-4547	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	154	1	each	each	DET
cana-4547	154	2	biometric	biometric	ADJ
cana-4547	154	3	sample	sample	NOUN
cana-4547	154	4	was	be	AUX
cana-4547	154	5	preprocessed	preprocesse	VERB
cana-4547	154	6	into	into	ADP
cana-4547	154	7	a	a	DET
cana-4547	154	8	fixed	fix	VERB
cana-4547	154	9	-	-	PUNCT
cana-4547	154	10	dimensional	dimensional	ADJ
cana-4547	154	11	embedding	embed	VERB
cana-4547	154	12	space	space	NOUN
cana-4547	154	13	of	of	ADP
cana-4547	154	14	512	512	NUM
cana-4547	154	15	dimensions	dimension	NOUN
cana-4547	154	16	so	so	SCONJ
cana-4547	154	17	that	that	SCONJ
cana-4547	154	18	cross	cross	ADJ
cana-4547	154	19	-	-	ADJ
cana-4547	154	20	modality	modality	ADJ
cana-4547	154	21	compatibility	compatibility	NOUN
cana-4547	154	22	could	could	AUX
cana-4547	154	23	be	be	AUX
cana-4547	154	24	obtained	obtain	VERB
cana-4547	154	25	during	during	ADP
cana-4547	154	26	fusion	fusion	NOUN
cana-4547	154	27	.	.	PUNCT
cana-4547	155	1	amfft	amfft	PROPN
cana-4547	155	2	model	model	VERB
cana-4547	155	3	dynamically	dynamically	ADV
cana-4547	155	4	combined	combine	VERB
cana-4547	155	5	the	the	DET
cana-4547	155	6	modalities	modality	NOUN
cana-4547	155	7	by	by	ADP
cana-4547	155	8	employing	employ	VERB
cana-4547	155	9	multi	multi	ADJ
cana-4547	155	10	-	-	ADJ
cana-4547	155	11	head	head	ADJ
cana-4547	155	12	selfattention	selfattention	NOUN
cana-4547	155	13	(	(	PUNCT
cana-4547	155	14	mhsa	mhsa	PROPN
cana-4547	155	15	)	)	PUNCT
cana-4547	155	16	with	with	ADP
cana-4547	155	17	8	8	NUM
cana-4547	155	18	attention	attention	NOUN
cana-4547	155	19	heads	head	NOUN
cana-4547	155	20	and	and	CCONJ
cana-4547	155	21	a	a	DET
cana-4547	155	22	hidden	hidden	ADJ
cana-4547	155	23	dimension	dimension	NOUN
cana-4547	155	24	of	of	ADP
cana-4547	155	25	1024	1024	NUM
cana-4547	155	26	for	for	ADP
cana-4547	155	27	adaptive	adaptive	ADJ
cana-4547	155	28	feature	feature	NOUN
cana-4547	155	29	integration	integration	NOUN
cana-4547	155	30	.	.	PUNCT
cana-4547	156	1	the	the	DET
cana-4547	156	2	gating	gate	VERB
cana-4547	156	3	mechanism	mechanism	NOUN
cana-4547	156	4	for	for	ADP
cana-4547	156	5	fusion	fusion	NOUN
cana-4547	156	6	selection	selection	NOUN
cana-4547	156	7	was	be	AUX
cana-4547	156	8	trained	train	VERB
cana-4547	156	9	under	under	ADP
cana-4547	156	10	real	real	ADJ
cana-4547	156	11	-	-	PUNCT
cana-4547	156	12	world	world	NOUN
cana-4547	156	13	security	security	NOUN
cana-4547	156	14	conditions	condition	NOUN
cana-4547	156	15	by	by	ADP
cana-4547	156	16	simulating	simulate	VERB
cana-4547	156	17	adversarial	adversarial	ADJ
cana-4547	156	18	and	and	CCONJ
cana-4547	156	19	spoofed	spoofed	ADJ
cana-4547	156	20	inputs	input	NOUN
cana-4547	156	21	to	to	PART
cana-4547	156	22	trigger	trigger	VERB
cana-4547	156	23	the	the	DET
cana-4547	156	24	context	context	NOUN
cana-4547	156	25	-	-	PUNCT
cana-4547	156	26	aware	aware	ADJ
cana-4547	156	27	gating	gating	NOUN
cana-4547	156	28	module	module	NOUN
cana-4547	156	29	.	.	PUNCT
cana-4547	157	1	the	the	DET
cana-4547	157	2	dpat	dpat	NOUN
cana-4547	157	3	adversarial	adversarial	ADJ
cana-4547	157	4	training	training	NOUN
cana-4547	157	5	framework	framework	NOUN
cana-4547	157	6	incorporated	incorporate	VERB
cana-4547	157	7	differentially	differentially	ADV
cana-4547	157	8	private	private	ADJ
cana-4547	157	9	stochastic	stochastic	ADJ
cana-4547	157	10	gradient	gradient	ADJ
cana-4547	157	11	descent	descent	NOUN
cana-4547	157	12	(	(	PUNCT
cana-4547	157	13	dpsgd	dpsgd	PROPN
cana-4547	157	14	)	)	PUNCT
cana-4547	157	15	with	with	ADP
cana-4547	157	16	a	a	DET
cana-4547	157	17	noise	noise	NOUN
cana-4547	157	18	multiplier	multipli	ADJ
cana-4547	157	19	of	of	ADP
cana-4547	157	20	0.8	0.8	NUM
cana-4547	157	21	,	,	PUNCT
cana-4547	157	22	clipping	clip	VERB
cana-4547	157	23	norm	norm	NOUN
cana-4547	157	24	of	of	ADP
cana-4547	157	25	1.5	1.5	NUM
cana-4547	157	26	,	,	PUNCT
cana-4547	157	27	and	and	CCONJ
cana-4547	157	28	batch	batch	VERB
cana-4547	157	29	size	size	NOUN
cana-4547	157	30	of	of	ADP
cana-4547	157	31	256	256	NUM
cana-4547	157	32	,	,	PUNCT
cana-4547	157	33	guaranteeing	guarantee	VERB
cana-4547	157	34	strong	strong	ADJ
cana-4547	157	35	privacy	privacy	NOUN
cana-4547	157	36	assurances	assurance	NOUN
cana-4547	157	37	while	while	SCONJ
cana-4547	157	38	maintaining	maintain	VERB
cana-4547	157	39	classification	classification	NOUN
cana-4547	157	40	performance	performance	NOUN
cana-4547	157	41	.	.	PUNCT
cana-4547	158	1	figure	figure	NOUN
cana-4547	158	2	2	2	NUM
cana-4547	158	3	.	.	PUNCT
cana-4547	158	4	model	model	PROPN
cana-4547	158	5	’s	’s	PART
cana-4547	158	6	integrated	integrate	VERB
cana-4547	158	7	result	result	NOUN
cana-4547	158	8	analysis	analysis	NOUN
cana-4547	158	9	the	the	DET
cana-4547	158	10	evaluation	evaluation	NOUN
cana-4547	158	11	for	for	ADP
cana-4547	158	12	adversarial	adversarial	ADJ
cana-4547	158	13	robustness	robustness	NOUN
cana-4547	158	14	was	be	AUX
cana-4547	158	15	performed	perform	VERB
cana-4547	158	16	using	use	VERB
cana-4547	158	17	projected	project	VERB
cana-4547	158	18	gradient	gradient	ADJ
cana-4547	158	19	descent	descent	NOUN
cana-4547	158	20	(	(	PUNCT
cana-4547	158	21	pgd	pgd	PROPN
cana-4547	158	22	)	)	PUNCT
cana-4547	158	23	with	with	ADP
cana-4547	158	24	10	10	NUM
cana-4547	158	25	attack	attack	NOUN
cana-4547	158	26	iterations	iteration	NOUN
cana-4547	158	27	and	and	CCONJ
cana-4547	158	28	an	an	DET
cana-4547	158	29	ℓ∞	ℓ∞	PROPN
cana-4547	158	30	perturbation	perturbation	NOUN
cana-4547	158	31	budget	budget	NOUN
cana-4547	158	32	of	of	ADP
cana-4547	158	33	0.02	0.02	NUM
cana-4547	158	34	,	,	PUNCT
cana-4547	158	35	fast	fast	ADJ
cana-4547	158	36	gradient	gradient	NOUN
cana-4547	158	37	sign	sign	NOUN
cana-4547	158	38	method	method	NOUN
cana-4547	158	39	(	(	PUNCT
cana-4547	158	40	fgsm	fgsm	NOUN
cana-4547	158	41	)	)	PUNCT
cana-4547	158	42	with	with	ADP
cana-4547	158	43	an	an	DET
cana-4547	158	44	epsilon	epsilon	NOUN
cana-4547	158	45	of	of	ADP
cana-4547	158	46	0.03	0.03	NUM
cana-4547	158	47	,	,	PUNCT
cana-4547	158	48	and	and	CCONJ
cana-4547	158	49	gan	gin	VERB
cana-4547	158	50	-	-	PUNCT
cana-4547	158	51	based	base	VERB
cana-4547	158	52	synthetic	synthetic	ADJ
cana-4547	158	53	biometric	biometric	ADJ
cana-4547	158	54	attacks	attack	NOUN
cana-4547	158	55	trained	train	VERB
cana-4547	158	56	upon	upon	SCONJ
cana-4547	158	57	deepfake	deepfake	VERB
cana-4547	158	58	facial	facial	ADJ
cana-4547	158	59	images	image	NOUN
cana-4547	158	60	and	and	CCONJ
cana-4547	158	61	ai	ai	ADJ
cana-4547	158	62	-	-	PUNCT
cana-4547	158	63	cloned	cloned	ADJ
cana-4547	158	64	voices	voice	NOUN
cana-4547	158	65	&	&	CCONJ
cana-4547	158	66	samples	sample	NOUN
cana-4547	158	67	.	.	PUNCT
cana-4547	159	1	the	the	DET
cana-4547	159	2	evaluation	evaluation	NOUN
cana-4547	159	3	of	of	ADP
cana-4547	159	4	the	the	DET
cana-4547	159	5	proposed	propose	VERB
cana-4547	159	6	biometric	biometric	ADJ
cana-4547	159	7	security	security	NOUN
cana-4547	159	8	framework	framework	NOUN
cana-4547	159	9	communications	communication	NOUN
cana-4547	159	10	on	on	ADP
cana-4547	159	11	applied	apply	VERB
cana-4547	159	12	nonlinear	nonlinear	ADJ
cana-4547	159	13	analysis	analysis	NOUN
cana-4547	159	14	issn	issn	NOUN
cana-4547	159	15	:	:	PUNCT
cana-4547	159	16	1074	1074	NUM
cana-4547	159	17	-	-	PUNCT
cana-4547	159	18	133x	133x	NUM
cana-4547	159	19	vol	vol	NOUN
cana-4547	159	20	32	32	NUM
cana-4547	159	21	no	no	NOUN
cana-4547	159	22	.	.	PUNCT
cana-4547	160	1	9s	9s	NUM
cana-4547	160	2	(	(	PUNCT
cana-4547	160	3	2025	2025	NUM
cana-4547	160	4	)	)	PUNCT
cana-4547	160	5	2667	2667	NUM
cana-4547	160	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4547	160	7	employed	employ	VERB
cana-4547	160	8	combinations	combination	NOUN
cana-4547	160	9	from	from	ADP
cana-4547	160	10	publicly	publicly	ADV
cana-4547	160	11	available	available	ADJ
cana-4547	160	12	multimodal	multimodal	ADJ
cana-4547	160	13	biometric	biometric	ADJ
cana-4547	160	14	datasets	dataset	NOUN
cana-4547	160	15	to	to	PART
cana-4547	160	16	secure	secure	VERB
cana-4547	160	17	diversity	diversity	NOUN
cana-4547	160	18	in	in	ADP
cana-4547	160	19	user	user	NOUN
cana-4547	160	20	identities	identity	NOUN
cana-4547	160	21	,	,	PUNCT
cana-4547	160	22	environmental	environmental	ADJ
cana-4547	160	23	conditions	condition	NOUN
cana-4547	160	24	,	,	PUNCT
cana-4547	160	25	and	and	CCONJ
cana-4547	160	26	attack	attack	NOUN
cana-4547	160	27	scenarios	scenario	NOUN
cana-4547	160	28	.	.	PUNCT
cana-4547	161	1	for	for	ADP
cana-4547	161	2	facial	facial	ADJ
cana-4547	161	3	recognition	recognition	NOUN
cana-4547	161	4	,	,	PUNCT
cana-4547	161	5	the	the	DET
cana-4547	161	6	selection	selection	NOUN
cana-4547	161	7	of	of	ADP
cana-4547	161	8	the	the	DET
cana-4547	161	9	vggface2	vggface2	NOUN
cana-4547	161	10	dataset	dataset	NOUN
cana-4547	161	11	was	be	AUX
cana-4547	161	12	made	make	VERB
cana-4547	161	13	for	for	ADP
cana-4547	161	14	having	have	VERB
cana-4547	161	15	3.3	3.3	NUM
cana-4547	161	16	million	million	NUM
cana-4547	161	17	face	face	NOUN
cana-4547	161	18	images	image	NOUN
cana-4547	161	19	across	across	ADP
cana-4547	161	20	9,131	9,131	NUM
cana-4547	161	21	identities	identity	NOUN
cana-4547	161	22	,	,	PUNCT
cana-4547	161	23	which	which	PRON
cana-4547	161	24	includes	include	VERB
cana-4547	161	25	variations	variation	NOUN
cana-4547	161	26	in	in	ADP
cana-4547	161	27	lighting	lighting	NOUN
cana-4547	161	28	conditions	condition	NOUN
cana-4547	161	29	,	,	PUNCT
cana-4547	161	30	head	head	NOUN
cana-4547	161	31	poses	pose	NOUN
cana-4547	161	32	,	,	PUNCT
cana-4547	161	33	and	and	CCONJ
cana-4547	161	34	occlusions	occlusion	NOUN
cana-4547	161	35	,	,	PUNCT
cana-4547	161	36	and	and	CCONJ
cana-4547	161	37	would	would	AUX
cana-4547	161	38	be	be	AUX
cana-4547	161	39	ideal	ideal	ADJ
cana-4547	161	40	for	for	ADP
cana-4547	161	41	training	train	VERB
cana-4547	161	42	robust	robust	ADJ
cana-4547	161	43	facial	facial	ADJ
cana-4547	161	44	embeddings	embedding	NOUN
cana-4547	161	45	.	.	PUNCT
cana-4547	162	1	adversarial	adversarial	ADJ
cana-4547	162	2	and	and	CCONJ
cana-4547	162	3	spoofing	spoof	VERB
cana-4547	162	4	datasets	dataset	NOUN
cana-4547	162	5	were	be	AUX
cana-4547	162	6	also	also	ADV
cana-4547	162	7	provided	provide	VERB
cana-4547	162	8	for	for	ADP
cana-4547	162	9	testing	test	VERB
cana-4547	162	10	robustness	robustness	NOUN
cana-4547	162	11	.	.	PUNCT
cana-4547	163	1	for	for	ADP
cana-4547	163	2	the	the	DET
cana-4547	163	3	face	face	NOUN
cana-4547	163	4	analysis	analysis	NOUN
cana-4547	163	5	of	of	ADP
cana-4547	163	6	deepfakes	deepfake	NOUN
cana-4547	163	7	,	,	PUNCT
cana-4547	163	8	the	the	DET
cana-4547	163	9	dfdc	dfdc	PROPN
cana-4547	163	10	(	(	PUNCT
cana-4547	163	11	deepfake	deepfake	VERB
cana-4547	163	12	detection	detection	NOUN
cana-4547	163	13	challenge	challenge	NOUN
cana-4547	163	14	)	)	PUNCT
cana-4547	163	15	dataset	dataset	NOUN
cana-4547	163	16	provided	provide	VERB
cana-4547	163	17	over	over	ADP
cana-4547	163	18	100,000	100,000	NUM
cana-4547	163	19	deepfake	deepfake	NOUN
cana-4547	163	20	videos	video	NOUN
cana-4547	163	21	synthesized	synthesize	VERB
cana-4547	163	22	using	use	VERB
cana-4547	163	23	advanced	advanced	ADJ
cana-4547	163	24	techniques	technique	NOUN
cana-4547	163	25	based	base	VERB
cana-4547	163	26	on	on	ADP
cana-4547	163	27	gans	gan	NOUN
cana-4547	163	28	.	.	PUNCT
cana-4547	164	1	the	the	DET
cana-4547	164	2	asvspoof	asvspoof	NOUN
cana-4547	164	3	2019	2019	NUM
cana-4547	164	4	dataset	dataset	NOUN
cana-4547	164	5	provided	provide	VERB
cana-4547	164	6	samples	sample	NOUN
cana-4547	164	7	of	of	ADP
cana-4547	164	8	synthetic	synthetic	NOUN
cana-4547	164	9	and	and	CCONJ
cana-4547	164	10	replay	replay	NOUN
cana-4547	164	11	speech	speech	NOUN
cana-4547	164	12	so	so	SCONJ
cana-4547	164	13	that	that	SCONJ
cana-4547	164	14	the	the	DET
cana-4547	164	15	model	model	NOUN
cana-4547	164	16	was	be	AUX
cana-4547	164	17	able	able	ADJ
cana-4547	164	18	to	to	PART
cana-4547	164	19	authenticate	authenticate	VERB
cana-4547	164	20	between	between	ADP
cana-4547	164	21	genuine	genuine	ADJ
cana-4547	164	22	and	and	CCONJ
cana-4547	164	23	ai	ai	ADJ
cana-4547	164	24	-	-	PUNCT
cana-4547	164	25	synthesized	synthesize	VERB
cana-4547	164	26	speech	speech	NOUN
cana-4547	164	27	sets	set	NOUN
cana-4547	164	28	.	.	PUNCT
cana-4547	165	1	in	in	ADP
cana-4547	165	2	behavioral	behavioral	ADJ
cana-4547	165	3	biometric	biometric	ADJ
cana-4547	165	4	testing	testing	NOUN
cana-4547	165	5	,	,	PUNCT
cana-4547	165	6	the	the	DET
cana-4547	165	7	biotracker	biotracker	NOUN
cana-4547	165	8	gait	gait	PROPN
cana-4547	165	9	recognition	recognition	PROPN
cana-4547	165	10	dataset	dataset	VERB
cana-4547	165	11	with	with	ADP
cana-4547	165	12	3d	3d	PROPN
cana-4547	165	13	motion	motion	NOUN
cana-4547	165	14	capture	capture	NOUN
cana-4547	165	15	data	datum	NOUN
cana-4547	165	16	of	of	ADP
cana-4547	165	17	more	more	ADJ
cana-4547	165	18	than	than	ADP
cana-4547	165	19	100	100	NUM
cana-4547	165	20	persons	person	NOUN
cana-4547	165	21	and	and	CCONJ
cana-4547	165	22	typingdna	typingdna	ADV
cana-4547	165	23	with	with	ADP
cana-4547	165	24	keystroke	keystroke	NOUN
cana-4547	165	25	dynamics	dynamic	NOUN
cana-4547	165	26	of	of	ADP
cana-4547	165	27	thousands	thousand	NOUN
cana-4547	165	28	of	of	ADP
cana-4547	165	29	users	user	NOUN
cana-4547	165	30	for	for	ADP
cana-4547	165	31	typing	type	VERB
cana-4547	165	32	pattern	pattern	NOUN
cana-4547	165	33	analysis	analysis	NOUN
cana-4547	165	34	were	be	AUX
cana-4547	165	35	used	use	VERB
cana-4547	165	36	.	.	PUNCT
cana-4547	166	1	the	the	DET
cana-4547	166	2	dense	dense	ADJ
cana-4547	166	3	collection	collection	NOUN
cana-4547	166	4	of	of	ADP
cana-4547	166	5	datasets	dataset	NOUN
cana-4547	166	6	ensured	ensure	VERB
cana-4547	166	7	that	that	SCONJ
cana-4547	166	8	the	the	DET
cana-4547	166	9	applied	apply	VERB
cana-4547	166	10	models	model	NOUN
cana-4547	166	11	were	be	AUX
cana-4547	166	12	realizable	realizable	ADJ
cana-4547	166	13	in	in	ADP
cana-4547	166	14	real	real	ADJ
cana-4547	166	15	-	-	PUNCT
cana-4547	166	16	world	world	NOUN
cana-4547	166	17	settings	setting	NOUN
cana-4547	166	18	,	,	PUNCT
cana-4547	166	19	secure	secure	ADJ
cana-4547	166	20	against	against	ADP
cana-4547	166	21	security	security	NOUN
cana-4547	166	22	threats	threat	NOUN
cana-4547	166	23	,	,	PUNCT
cana-4547	166	24	and	and	CCONJ
cana-4547	166	25	possessed	possess	VERB
cana-4547	166	26	generalizability	generalizability	NOUN
cana-4547	166	27	sets	set	NOUN
cana-4547	166	28	.	.	PUNCT
cana-4547	167	1	subsequent	subsequent	ADJ
cana-4547	167	2	spoofing	spoof	VERB
cana-4547	167	3	detection	detection	NOUN
cana-4547	167	4	tests	test	NOUN
cana-4547	167	5	consisted	consist	VERB
cana-4547	167	6	of	of	ADP
cana-4547	167	7	deepfake	deepfake	NOUN
cana-4547	167	8	face	face	NOUN
cana-4547	167	9	videos	video	NOUN
cana-4547	167	10	generated	generate	VERB
cana-4547	167	11	using	use	VERB
cana-4547	167	12	stylegan2	stylegan2	NOUN
cana-4547	167	13	and	and	CCONJ
cana-4547	167	14	deepfacelab	deepfacelab	NOUN
cana-4547	167	15	,	,	PUNCT
cana-4547	167	16	deepfake	deepfake	VERB
cana-4547	167	17	voice	voice	NOUN
cana-4547	167	18	samples	sample	NOUN
cana-4547	167	19	generated	generate	VERB
cana-4547	167	20	using	use	VERB
cana-4547	167	21	tacotron2	tacotron2	NOUN
cana-4547	167	22	and	and	CCONJ
cana-4547	167	23	waveglow	waveglow	VERB
cana-4547	167	24	,	,	PUNCT
cana-4547	167	25	and	and	CCONJ
cana-4547	167	26	synthetic	synthetic	ADJ
cana-4547	167	27	fingerprints	fingerprint	NOUN
cana-4547	167	28	generated	generate	VERB
cana-4547	167	29	using	use	VERB
cana-4547	167	30	gans	gan	NOUN
cana-4547	167	31	that	that	PRON
cana-4547	167	32	were	be	AUX
cana-4547	167	33	trained	train	VERB
cana-4547	167	34	on	on	ADP
cana-4547	167	35	fingerprint	fingerprint	NOUN
cana-4547	167	36	ridge	ridge	NOUN
cana-4547	167	37	maps	map	NOUN
cana-4547	167	38	.	.	PUNCT
cana-4547	168	1	the	the	DET
cana-4547	168	2	modality	modality	NOUN
cana-4547	168	3	-	-	PUNCT
cana-4547	168	4	bymodality	bymodality	NOUN
cana-4547	168	5	spoofed	spoof	VERB
cana-4547	168	6	detection	detection	NOUN
cana-4547	168	7	of	of	ADP
cana-4547	168	8	the	the	DET
cana-4547	168	9	sma	sma	NOUN
cana-4547	168	10	-	-	PUNCT
cana-4547	168	11	transformer	transformer	NOUN
cana-4547	168	12	employed	employ	VERB
cana-4547	168	13	an	an	DET
cana-4547	168	14	optical	optical	ADJ
cana-4547	168	15	flow	flow	NOUN
cana-4547	168	16	cnn	cnn	PROPN
cana-4547	168	17	for	for	ADP
cana-4547	168	18	face	face	NOUN
cana-4547	168	19	movement	movement	NOUN
cana-4547	168	20	analysis	analysis	NOUN
cana-4547	168	21	,	,	PUNCT
cana-4547	168	22	an	an	DET
cana-4547	168	23	mfcc	mfcc	NOUN
cana-4547	168	24	-	-	PUNCT
cana-4547	168	25	lstm	lstm	ADJ
cana-4547	168	26	network	network	NOUN
cana-4547	168	27	for	for	ADP
cana-4547	168	28	voice	voice	NOUN
cana-4547	168	29	liveness	liveness	NOUN
cana-4547	168	30	detection	detection	NOUN
cana-4547	168	31	,	,	PUNCT
cana-4547	168	32	and	and	CCONJ
cana-4547	168	33	a	a	DET
cana-4547	168	34	3d	3d	NOUN
cana-4547	168	35	-	-	PUNCT
cana-4547	168	36	cnn	cnn	PROPN
cana-4547	168	37	for	for	ADP
cana-4547	168	38	fingerprint	fingerprint	NOUN
cana-4547	168	39	ridge	ridge	NOUN
cana-4547	168	40	distortion	distortion	NOUN
cana-4547	168	41	detection	detection	NOUN
cana-4547	168	42	with	with	ADP
cana-4547	168	43	a	a	DET
cana-4547	168	44	total	total	ADJ
cana-4547	168	45	detection	detection	NOUN
cana-4547	168	46	rate	rate	NOUN
cana-4547	168	47	of	of	ADP
cana-4547	168	48	deepfake	deepfake	NOUN
cana-4547	168	49	as	as	ADP
cana-4547	168	50	99.3	99.3	NUM
cana-4547	168	51	%	%	NOUN
cana-4547	168	52	.	.	PUNCT
cana-4547	169	1	the	the	DET
cana-4547	169	2	ezv	ezv	NOUN
cana-4547	169	3	-	-	PUNCT
cana-4547	169	4	model	model	NOUN
cana-4547	169	5	was	be	AUX
cana-4547	169	6	tested	test	VERB
cana-4547	169	7	in	in	ADP
cana-4547	169	8	continuous	continuous	ADJ
cana-4547	169	9	authentication	authentication	NOUN
cana-4547	169	10	applications	application	NOUN
cana-4547	169	11	using	use	VERB
cana-4547	169	12	behavioral	behavioral	ADJ
cana-4547	169	13	biometrics	biometric	NOUN
cana-4547	169	14	like	like	ADP
cana-4547	169	15	typing	type	VERB
cana-4547	169	16	rhythm	rhythm	NOUN
cana-4547	169	17	(	(	PUNCT
cana-4547	169	18	keystroke	keystroke	PROPN
cana-4547	169	19	dna	dna	PROPN
cana-4547	169	20	)	)	PUNCT
cana-4547	169	21	,	,	PUNCT
cana-4547	169	22	gait	gait	ADJ
cana-4547	169	23	recognition	recognition	NOUN
cana-4547	169	24	,	,	PUNCT
cana-4547	169	25	and	and	CCONJ
cana-4547	169	26	mouse	mouse	NOUN
cana-4547	169	27	motion	motion	NOUN
cana-4547	169	28	analysis	analysis	NOUN
cana-4547	169	29	from	from	ADP
cana-4547	169	30	biotracker	biotracker	NOUN
cana-4547	169	31	and	and	CCONJ
cana-4547	169	32	typingdna	typingdna	ADV
cana-4547	169	33	samples	sample	NOUN
cana-4547	169	34	&	&	CCONJ
cana-4547	169	35	datasets	dataset	NOUN
cana-4547	169	36	.	.	PUNCT
cana-4547	170	1	the	the	DET
cana-4547	170	2	rbb	rbb	PROPN
cana-4547	170	3	-	-	PUNCT
cana-4547	170	4	sec	sec	PROPN
cana-4547	170	5	module	module	NOUN
cana-4547	170	6	handled	handle	VERB
cana-4547	170	7	micro	micro	NOUN
cana-4547	170	8	-	-	NOUN
cana-4547	170	9	expressions	expression	NOUN
cana-4547	170	10	processed	process	VERB
cana-4547	170	11	by	by	ADP
cana-4547	170	12	electromyography	electromyography	NOUN
cana-4547	170	13	(	(	PUNCT
cana-4547	170	14	emg	emg	NOUN
cana-4547	170	15	)	)	PUNCT
cana-4547	170	16	signal	signal	NOUN
cana-4547	170	17	processing	processing	NOUN
cana-4547	170	18	using	use	VERB
cana-4547	170	19	a	a	DET
cana-4547	170	20	cnn	cnn	PROPN
cana-4547	170	21	-	-	PUNCT
cana-4547	170	22	based	base	VERB
cana-4547	170	23	classifier	classifier	NOUN
cana-4547	170	24	on	on	ADP
cana-4547	170	25	casme	casme	PROPN
cana-4547	170	26	ii	ii	PROPN
cana-4547	170	27	and	and	CCONJ
cana-4547	170	28	samm	samm	PROPN
cana-4547	170	29	spontaneous	spontaneous	ADJ
cana-4547	170	30	facial	facial	ADJ
cana-4547	170	31	expression	expression	NOUN
cana-4547	170	32	datasets	dataset	NOUN
cana-4547	170	33	&	&	CCONJ
cana-4547	170	34	samples	sample	NOUN
cana-4547	170	35	.	.	PUNCT
cana-4547	171	1	real	real	ADJ
cana-4547	171	2	-	-	PUNCT
cana-4547	171	3	time	time	NOUN
cana-4547	171	4	performance	performance	NOUN
cana-4547	171	5	of	of	ADP
cana-4547	171	6	the	the	DET
cana-4547	171	7	system	system	NOUN
cana-4547	171	8	was	be	AUX
cana-4547	171	9	assessed	assess	VERB
cana-4547	171	10	with	with	ADP
cana-4547	171	11	an	an	DET
cana-4547	171	12	intel	intel	PROPN
cana-4547	171	13	xeon	xeon	PROPN
cana-4547	171	14	e5	e5	PROPN
cana-4547	171	15	-	-	PUNCT
cana-4547	171	16	2690	2690	NUM
cana-4547	171	17	cpu	cpu	NOUN
cana-4547	171	18	,	,	PUNCT
cana-4547	171	19	an	an	DET
cana-4547	171	20	nvidia	nvidia	PROPN
cana-4547	171	21	a100	a100	PROPN
cana-4547	171	22	gpu	gpu	PROPN
cana-4547	171	23	,	,	PUNCT
cana-4547	171	24	and	and	CCONJ
cana-4547	171	25	128	128	NUM
cana-4547	171	26	gb	gb	NOUN
cana-4547	171	27	of	of	ADP
cana-4547	171	28	ram	ram	NOUN
cana-4547	171	29	to	to	PART
cana-4547	171	30	ensure	ensure	VERB
cana-4547	171	31	that	that	SCONJ
cana-4547	171	32	authentication	authentication	NOUN
cana-4547	171	33	decisions	decision	NOUN
cana-4547	171	34	are	be	AUX
cana-4547	171	35	made	make	VERB
cana-4547	171	36	within	within	ADP
cana-4547	171	37	80	80	NUM
cana-4547	171	38	ms	ms	PROPN
cana-4547	171	39	.	.	PROPN
cana-4547	171	40	performance	performance	NOUN
cana-4547	171	41	measures	measure	NOUN
cana-4547	171	42	such	such	ADJ
cana-4547	171	43	as	as	ADP
cana-4547	171	44	authentication	authentication	NOUN
cana-4547	171	45	accuracy	accuracy	NOUN
cana-4547	171	46	(	(	PUNCT
cana-4547	171	47	≥99.5	≥99.5	X
cana-4547	171	48	%	%	NOUN
cana-4547	171	49	)	)	PUNCT
cana-4547	171	50	,	,	PUNCT
cana-4547	171	51	false	false	ADJ
cana-4547	171	52	acceptance	acceptance	NOUN
cana-4547	171	53	rate	rate	NOUN
cana-4547	171	54	for	for	ADP
cana-4547	171	55	spoofed	spoof	VERB
cana-4547	171	56	inputs	input	NOUN
cana-4547	171	57	(	(	PUNCT
cana-4547	171	58	≤0.2	≤0.2	NUM
cana-4547	171	59	%	%	NOUN
cana-4547	171	60	)	)	PUNCT
cana-4547	171	61	,	,	PUNCT
cana-4547	171	62	false	false	ADJ
cana-4547	171	63	rejection	rejection	NOUN
cana-4547	171	64	rate	rate	NOUN
cana-4547	171	65	(	(	PUNCT
cana-4547	171	66	≤1.5	≤1.5	NOUN
cana-4547	171	67	%	%	NOUN
cana-4547	171	68	)	)	PUNCT
cana-4547	171	69	,	,	PUNCT
cana-4547	171	70	adversarial	adversarial	ADJ
cana-4547	171	71	evasion	evasion	NOUN
cana-4547	171	72	rate	rate	NOUN
cana-4547	171	73	(	(	PUNCT
cana-4547	171	74	≤1.2	≤1.2	NOUN
cana-4547	171	75	%	%	NOUN
cana-4547	171	76	)	)	PUNCT
cana-4547	171	77	,	,	PUNCT
cana-4547	171	78	and	and	CCONJ
cana-4547	171	79	session	session	NOUN
cana-4547	171	80	hijacking	hijacking	NOUN
cana-4547	171	81	detection	detection	NOUN
cana-4547	171	82	rate	rate	NOUN
cana-4547	171	83	(	(	PUNCT
cana-4547	171	84	≥99.2	≥99.2	NUM
cana-4547	171	85	%	%	NOUN
cana-4547	171	86	)	)	PUNCT
cana-4547	171	87	further	far	ADV
cana-4547	171	88	affirmed	affirm	VERB
cana-4547	171	89	the	the	DET
cana-4547	171	90	robustness	robustness	NOUN
cana-4547	171	91	of	of	ADP
cana-4547	171	92	the	the	DET
cana-4547	171	93	proposed	propose	VERB
cana-4547	171	94	model	model	NOUN
cana-4547	171	95	against	against	ADP
cana-4547	171	96	nowadays	nowadays	ADV
cana-4547	171	97	biometric	biometric	ADJ
cana-4547	171	98	threats	threat	NOUN
cana-4547	171	99	,	,	PUNCT
cana-4547	171	100	hence	hence	ADV
cana-4547	171	101	,	,	PUNCT
cana-4547	171	102	giving	give	VERB
cana-4547	171	103	it	it	PRON
cana-4547	171	104	potential	potential	NOUN
cana-4547	171	105	for	for	ADP
cana-4547	171	106	real	real	ADJ
cana-4547	171	107	-	-	PUNCT
cana-4547	171	108	world	world	NOUN
cana-4547	171	109	security	security	NOUN
cana-4547	171	110	applications	application	NOUN
cana-4547	171	111	.	.	PUNCT
cana-4547	172	1	the	the	DET
cana-4547	172	2	proposed	propose	VERB
cana-4547	172	3	adaptive	adaptive	ADJ
cana-4547	172	4	multi	multi	ADJ
cana-4547	172	5	-	-	ADJ
cana-4547	172	6	modal	modal	ADJ
cana-4547	172	7	biometric	biometric	ADJ
cana-4547	172	8	security	security	NOUN
cana-4547	172	9	framework	framework	NOUN
cana-4547	172	10	has	have	AUX
cana-4547	172	11	been	be	AUX
cana-4547	172	12	evaluated	evaluate	VERB
cana-4547	172	13	in	in	ADP
cana-4547	172	14	front	front	NOUN
cana-4547	172	15	of	of	ADP
cana-4547	172	16	the	the	DET
cana-4547	172	17	state	state	NOUN
cana-4547	172	18	-	-	PUNCT
cana-4547	172	19	of	of	ADP
cana-4547	172	20	-	-	PUNCT
cana-4547	172	21	the	the	DET
cana-4547	172	22	-	-	PUNCT
cana-4547	172	23	art	art	NOUN
cana-4547	172	24	on	on	ADP
cana-4547	172	25	several	several	ADJ
cana-4547	172	26	datasets	dataset	NOUN
cana-4547	172	27	such	such	ADJ
cana-4547	172	28	as	as	ADP
cana-4547	172	29	vggface2	vggface2	NOUN
cana-4547	172	30	,	,	PUNCT
cana-4547	172	31	voxceleb2	voxceleb2	NOUN
cana-4547	172	32	,	,	PUNCT
cana-4547	172	33	nist	nist	PROPN
cana-4547	172	34	sd302	sd302	PROPN
cana-4547	172	35	,	,	PUNCT
cana-4547	172	36	dfdc	dfdc	PROPN
cana-4547	172	37	,	,	PUNCT
cana-4547	172	38	asvspoof	asvspoof	NOUN
cana-4547	172	39	2019	2019	NUM
cana-4547	172	40	,	,	PUNCT
cana-4547	172	41	biotracker	biotracker	NOUN
cana-4547	172	42	,	,	PUNCT
cana-4547	172	43	and	and	CCONJ
cana-4547	172	44	typingdna	typingdna	ADV
cana-4547	172	45	.	.	PUNCT
cana-4547	173	1	results	result	NOUN
cana-4547	173	2	will	will	AUX
cana-4547	173	3	be	be	AUX
cana-4547	173	4	analyzed	analyze	VERB
cana-4547	173	5	in	in	ADP
cana-4547	173	6	terms	term	NOUN
cana-4547	173	7	of	of	ADP
cana-4547	173	8	authentication	authentication	NOUN
cana-4547	173	9	accuracy	accuracy	NOUN
cana-4547	173	10	,	,	PUNCT
cana-4547	173	11	spoof	spoof	ADJ
cana-4547	173	12	detection	detection	NOUN
cana-4547	173	13	rate	rate	NOUN
cana-4547	173	14	,	,	PUNCT
cana-4547	173	15	adversarial	adversarial	ADJ
cana-4547	173	16	robustness	robustness	NOUN
cana-4547	173	17	,	,	PUNCT
cana-4547	173	18	session	session	NOUN
cana-4547	173	19	hijacking	hijacking	NOUN
cana-4547	173	20	detection	detection	NOUN
cana-4547	173	21	,	,	PUNCT
cana-4547	173	22	false	false	ADJ
cana-4547	173	23	rejection	rejection	NOUN
cana-4547	173	24	rate	rate	NOUN
cana-4547	173	25	,	,	PUNCT
cana-4547	173	26	and	and	CCONJ
cana-4547	173	27	real	real	ADJ
cana-4547	173	28	-	-	PUNCT
cana-4547	173	29	time	time	NOUN
cana-4547	173	30	computational	computational	ADJ
cana-4547	173	31	efficiency	efficiency	NOUN
cana-4547	173	32	.	.	PUNCT
cana-4547	174	1	the	the	DET
cana-4547	174	2	proposed	propose	VERB
cana-4547	174	3	model	model	NOUN
cana-4547	174	4	will	will	AUX
cana-4547	174	5	be	be	AUX
cana-4547	174	6	compared	compare	VERB
cana-4547	174	7	to	to	PART
cana-4547	174	8	method	method	VERB
cana-4547	174	9	[	[	X
cana-4547	174	10	3	3	NUM
cana-4547	174	11	]	]	PUNCT
cana-4547	174	12	,	,	PUNCT
cana-4547	174	13	method	method	NOUN
cana-4547	174	14	[	[	X
cana-4547	174	15	8	8	NUM
cana-4547	174	16	]	]	PUNCT
cana-4547	174	17	,	,	PUNCT
cana-4547	174	18	and	and	CCONJ
cana-4547	174	19	method	method	NOUN
cana-4547	174	20	[	[	X
cana-4547	174	21	25	25	NUM
cana-4547	174	22	]	]	PUNCT
cana-4547	174	23	,	,	PUNCT
cana-4547	174	24	which	which	PRON
cana-4547	174	25	are	be	AUX
cana-4547	174	26	existing	exist	VERB
cana-4547	174	27	deep	deep	ADJ
cana-4547	174	28	learning	learning	NOUN
cana-4547	174	29	-	-	PUNCT
cana-4547	174	30	based	base	VERB
cana-4547	174	31	multimodal	multimodal	ADJ
cana-4547	174	32	biometric	biometric	ADJ
cana-4547	174	33	fusion	fusion	NOUN
cana-4547	174	34	methods	method	NOUN
cana-4547	174	35	.	.	PUNCT
cana-4547	175	1	the	the	DET
cana-4547	175	2	comparison	comparison	NOUN
cana-4547	175	3	shows	show	VERB
cana-4547	175	4	that	that	SCONJ
cana-4547	175	5	the	the	DET
cana-4547	175	6	proposed	propose	VERB
cana-4547	175	7	model	model	NOUN
cana-4547	175	8	improves	improve	VERB
cana-4547	175	9	upon	upon	SCONJ
cana-4547	175	10	these	these	DET
cana-4547	175	11	baselines	baseline	NOUN
cana-4547	175	12	in	in	ADP
cana-4547	175	13	accuracy	accuracy	NOUN
cana-4547	175	14	,	,	PUNCT
cana-4547	175	15	resilience	resilience	NOUN
cana-4547	175	16	to	to	ADP
cana-4547	175	17	attacks	attack	NOUN
cana-4547	175	18	,	,	PUNCT
cana-4547	175	19	and	and	CCONJ
cana-4547	175	20	real	real	ADJ
cana-4547	175	21	-	-	PUNCT
cana-4547	175	22	time	time	NOUN
cana-4547	175	23	processing	processing	NOUN
cana-4547	175	24	efficiency	efficiency	NOUN
cana-4547	175	25	sets	set	NOUN
cana-4547	175	26	.	.	PUNCT
cana-4547	176	1	authenticate	authenticate	VERB
cana-4547	176	2	the	the	DET
cana-4547	176	3	correct	correct	ADJ
cana-4547	176	4	model	model	NOUN
cana-4547	176	5	performance	performance	NOUN
cana-4547	176	6	using	use	VERB
cana-4547	176	7	vggface2	vggface2	NOUN
cana-4547	176	8	,	,	PUNCT
cana-4547	176	9	voxceleb2	voxceleb2	NOUN
cana-4547	176	10	,	,	PUNCT
cana-4547	176	11	and	and	CCONJ
cana-4547	176	12	nist	nist	PROPN
cana-4547	176	13	sd302	sd302	PROPN
cana-4547	176	14	considering	consider	VERB
cana-4547	176	15	only	only	ADV
cana-4547	176	16	genuine	genuine	ADJ
cana-4547	176	17	authentication	authentication	NOUN
cana-4547	176	18	trials	trial	NOUN
cana-4547	176	19	.	.	PUNCT
cana-4547	177	1	table	table	NOUN
cana-4547	177	2	1	1	NUM
cana-4547	177	3	gives	give	VERB
cana-4547	177	4	the	the	DET
cana-4547	177	5	comparison	comparison	NOUN
cana-4547	177	6	in	in	ADP
cana-4547	177	7	authentication	authentication	NOUN
cana-4547	177	8	accuracy	accuracy	NOUN
cana-4547	177	9	.	.	PUNCT
cana-4547	178	1	table	table	NOUN
cana-4547	178	2	1	1	NUM
cana-4547	178	3	compares	compare	VERB
cana-4547	178	4	authentication	authentication	NOUN
cana-4547	178	5	accuracy	accuracy	NOUN
cana-4547	178	6	in	in	ADP
cana-4547	178	7	vggface2	vggface2	NOUN
cana-4547	178	8	,	,	PUNCT
cana-4547	178	9	voxceleb2	voxceleb2	NOUN
cana-4547	178	10	,	,	PUNCT
cana-4547	178	11	and	and	CCONJ
cana-4547	178	12	nist	nist	NOUN
cana-4547	178	13	sd302	sd302	PROPN
cana-4547	178	14	datasets	dataset	NOUN
cana-4547	178	15	for	for	ADP
cana-4547	178	16	an	an	DET
cana-4547	178	17	example	example	NOUN
cana-4547	178	18	showing	show	VERB
cana-4547	178	19	the	the	DET
cana-4547	178	20	usefulness	usefulness	NOUN
cana-4547	178	21	of	of	ADP
cana-4547	178	22	proposed	propose	VERB
cana-4547	178	23	adaptive	adaptive	ADJ
cana-4547	178	24	multi	multi	ADJ
cana-4547	178	25	-	-	ADJ
cana-4547	178	26	modal	modal	ADJ
cana-4547	178	27	feature	feature	NOUN
cana-4547	178	28	fusion	fusion	NOUN
cana-4547	178	29	communications	communication	NOUN
cana-4547	178	30	on	on	ADP
cana-4547	178	31	applied	apply	VERB
cana-4547	178	32	nonlinear	nonlinear	ADJ
cana-4547	178	33	analysis	analysis	NOUN
cana-4547	178	34	issn	issn	NOUN
cana-4547	178	35	:	:	PUNCT
cana-4547	178	36	1074	1074	NUM
cana-4547	178	37	-	-	PUNCT
cana-4547	178	38	133x	133x	NUM
cana-4547	178	39	vol	vol	NOUN
cana-4547	178	40	32	32	NUM
cana-4547	178	41	no	no	NOUN
cana-4547	178	42	.	.	PUNCT
cana-4547	179	1	9s	9s	NUM
cana-4547	179	2	(	(	PUNCT
cana-4547	179	3	2025	2025	NUM
cana-4547	179	4	)	)	PUNCT
cana-4547	179	5	2668	2668	NUM
cana-4547	179	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	179	7	transformer	transformer	NOUN
cana-4547	179	8	in	in	ADP
cana-4547	179	9	recognizing	recognize	VERB
cana-4547	179	10	true	true	ADJ
cana-4547	179	11	users	user	NOUN
cana-4547	179	12	.	.	PUNCT
cana-4547	180	1	the	the	DET
cana-4547	180	2	proposed	propose	VERB
cana-4547	180	3	model	model	NOUN
cana-4547	180	4	generates	generate	VERB
cana-4547	180	5	an	an	DET
cana-4547	180	6	average	average	ADJ
cana-4547	180	7	success	success	NOUN
cana-4547	180	8	rate	rate	NOUN
cana-4547	180	9	of	of	ADP
cana-4547	180	10	99.5	99.5	NUM
cana-4547	180	11	%	%	NOUN
cana-4547	180	12	in	in	ADP
cana-4547	180	13	authentication	authentication	NOUN
cana-4547	180	14	,	,	PUNCT
cana-4547	180	15	surpassing	surpass	VERB
cana-4547	180	16	a	a	DET
cana-4547	180	17	maximum	maximum	ADJ
cana-4547	180	18	margin	margin	NOUN
cana-4547	180	19	from	from	ADP
cana-4547	180	20	[	[	X
cana-4547	180	21	3	3	NUM
cana-4547	180	22	]	]	PUNCT
cana-4547	180	23	(	(	PUNCT
cana-4547	180	24	97.2	97.2	NUM
cana-4547	180	25	%	%	NOUN
cana-4547	180	26	)	)	PUNCT
cana-4547	180	27	,	,	PUNCT
cana-4547	181	1	[	[	X
cana-4547	181	2	8	8	NUM
cana-4547	181	3	]	]	X
cana-4547	181	4	(	(	PUNCT
cana-4547	181	5	96.4	96.4	NUM
cana-4547	181	6	%	%	NOUN
cana-4547	181	7	)	)	PUNCT
cana-4547	181	8	,	,	PUNCT
cana-4547	181	9	and	and	CCONJ
cana-4547	181	10	[	[	X
cana-4547	181	11	25	25	NUM
cana-4547	181	12	]	]	X
cana-4547	181	13	(	(	PUNCT
cana-4547	181	14	94.8	94.8	NUM
cana-4547	181	15	%	%	NOUN
cana-4547	181	16	)	)	PUNCT
cana-4547	181	17	.	.	PUNCT
cana-4547	182	1	this	this	PRON
cana-4547	182	2	distinguishing	distinguish	VERB
cana-4547	182	3	edge	edge	NOUN
cana-4547	182	4	relies	rely	VERB
cana-4547	182	5	on	on	ADP
cana-4547	182	6	the	the	DET
cana-4547	182	7	multi	multi	ADJ
cana-4547	182	8	-	-	ADJ
cana-4547	182	9	head	head	ADJ
cana-4547	182	10	self	self	NOUN
cana-4547	182	11	-	-	PUNCT
cana-4547	182	12	attention	attention	NOUN
cana-4547	182	13	feature	feature	NOUN
cana-4547	182	14	in	in	ADP
cana-4547	182	15	amfft	amfft	NOUN
cana-4547	182	16	in	in	ADP
cana-4547	182	17	dynamically	dynamically	ADV
cana-4547	182	18	learning	learn	VERB
cana-4547	182	19	cross	cross	ADJ
cana-4547	182	20	-	-	ADJ
cana-4547	182	21	modal	modal	ADJ
cana-4547	182	22	dependencies	dependency	NOUN
cana-4547	182	23	among	among	ADP
cana-4547	182	24	face	face	NOUN
cana-4547	182	25	,	,	PUNCT
cana-4547	182	26	voice	voice	NOUN
cana-4547	182	27	,	,	PUNCT
cana-4547	182	28	and	and	CCONJ
cana-4547	182	29	fingerprint	fingerprint	NOUN
cana-4547	182	30	embeddings	embedding	NOUN
cana-4547	182	31	,	,	PUNCT
cana-4547	182	32	preferable	preferable	ADJ
cana-4547	182	33	fusion	fusion	NOUN
cana-4547	182	34	method	method	NOUN
cana-4547	182	35	(	(	PUNCT
cana-4547	182	36	early	early	ADJ
cana-4547	182	37	,	,	PUNCT
cana-4547	182	38	intermediate	intermediate	ADJ
cana-4547	182	39	,	,	PUNCT
cana-4547	182	40	or	or	CCONJ
cana-4547	182	41	late	late	ADJ
cana-4547	182	42	fusion	fusion	NOUN
cana-4547	182	43	)	)	PUNCT
cana-4547	182	44	,	,	PUNCT
cana-4547	182	45	depending	depend	VERB
cana-4547	182	46	on	on	ADP
cana-4547	182	47	live	live	ADJ
cana-4547	182	48	security	security	NOUN
cana-4547	182	49	conditions	condition	NOUN
cana-4547	182	50	.	.	PUNCT
cana-4547	183	1	the	the	DET
cana-4547	183	2	previous	previous	ADJ
cana-4547	183	3	methods	method	NOUN
cana-4547	183	4	fix	fix	VERB
cana-4547	183	5	the	the	DET
cana-4547	183	6	fusion	fusion	NOUN
cana-4547	183	7	mechanisms	mechanism	NOUN
cana-4547	183	8	whereby	whereby	SCONJ
cana-4547	183	9	they	they	PRON
cana-4547	183	10	are	be	AUX
cana-4547	183	11	rendered	render	VERB
cana-4547	183	12	susceptible	susceptible	ADJ
cana-4547	183	13	to	to	ADP
cana-4547	183	14	some	some	DET
cana-4547	183	15	kind	kind	NOUN
cana-4547	183	16	of	of	ADP
cana-4547	183	17	noise	noise	NOUN
cana-4547	183	18	or	or	CCONJ
cana-4547	183	19	loss	loss	NOUN
cana-4547	183	20	in	in	ADP
cana-4547	183	21	the	the	DET
cana-4547	183	22	biometric	biometric	ADJ
cana-4547	183	23	modalities	modality	NOUN
cana-4547	183	24	.	.	PUNCT
cana-4547	184	1	on	on	ADP
cana-4547	184	2	the	the	DET
cana-4547	184	3	contrary	contrary	NOUN
cana-4547	184	4	,	,	PUNCT
cana-4547	184	5	this	this	DET
cana-4547	184	6	framework	framework	NOUN
cana-4547	184	7	adapts	adapt	VERB
cana-4547	184	8	to	to	ADP
cana-4547	184	9	the	the	DET
cana-4547	184	10	changing	change	VERB
cana-4547	184	11	qualities	quality	NOUN
cana-4547	184	12	of	of	ADP
cana-4547	184	13	input	input	NOUN
cana-4547	184	14	,	,	PUNCT
cana-4547	184	15	ensuring	ensure	VERB
cana-4547	184	16	that	that	SCONJ
cana-4547	184	17	a	a	DET
cana-4547	184	18	significant	significant	ADJ
cana-4547	184	19	percentage	percentage	NOUN
cana-4547	184	20	of	of	ADP
cana-4547	184	21	recognition	recognition	NOUN
cana-4547	184	22	still	still	ADV
cana-4547	184	23	can	can	AUX
cana-4547	184	24	be	be	AUX
cana-4547	184	25	achieved	achieve	VERB
cana-4547	184	26	in	in	ADP
cana-4547	184	27	the	the	DET
cana-4547	184	28	most	most	ADV
cana-4547	184	29	adverse	adverse	ADJ
cana-4547	184	30	conditions	condition	NOUN
cana-4547	184	31	in	in	ADP
cana-4547	184	32	authentications	authentication	NOUN
cana-4547	184	33	.	.	PUNCT
cana-4547	185	1	table	table	NOUN
cana-4547	185	2	1	1	NUM
cana-4547	185	3	:	:	PUNCT
cana-4547	185	4	authentication	authentication	NOUN
cana-4547	185	5	accuracy	accuracy	NOUN
cana-4547	185	6	(	(	PUNCT
cana-4547	185	7	%	%	INTJ
cana-4547	185	8	)	)	PUNCT
cana-4547	185	9	across	across	ADP
cana-4547	185	10	biometric	biometric	ADJ
cana-4547	185	11	datasets	dataset	NOUN
cana-4547	185	12	model	model	NOUN
cana-4547	185	13	vggface2	vggface2	NOUN
cana-4547	185	14	voxceleb2	voxceleb2	NOUN
cana-4547	186	1	nist	nist	NOUN
cana-4547	186	2	sd302	sd302	PROPN
cana-4547	186	3	average	average	ADJ
cana-4547	186	4	accuracy	accuracy	NOUN
cana-4547	186	5	proposed	propose	VERB
cana-4547	186	6	model	model	NOUN
cana-4547	186	7	99.5	99.5	NUM
cana-4547	186	8	99.3	99.3	NUM
cana-4547	186	9	99.7	99.7	NUM
cana-4547	186	10	99.5	99.5	NUM
cana-4547	186	11	method	method	NOUN
cana-4547	186	12	[	[	X
cana-4547	186	13	3	3	NUM
cana-4547	186	14	]	]	SYM
cana-4547	186	15	97.2	97.2	NUM
cana-4547	186	16	96.8	96.8	NUM
cana-4547	186	17	97.5	97.5	NUM
cana-4547	186	18	97.2	97.2	NUM
cana-4547	186	19	method	method	NOUN
cana-4547	186	20	[	[	X
cana-4547	186	21	8	8	NUM
cana-4547	186	22	]	]	SYM
cana-4547	186	23	96.5	96.5	NUM
cana-4547	186	24	95.9	95.9	NUM
cana-4547	186	25	96.8	96.8	NUM
cana-4547	186	26	96.4	96.4	NUM
cana-4547	186	27	method	method	NOUN
cana-4547	186	28	[	[	X
cana-4547	186	29	25	25	NUM
cana-4547	186	30	]	]	SYM
cana-4547	186	31	94.8	94.8	NUM
cana-4547	186	32	94.5	94.5	NUM
cana-4547	186	33	95.2	95.2	NUM
cana-4547	186	34	94.8	94.8	NUM
cana-4547	186	35	this	this	DET
cana-4547	186	36	model	model	NOUN
cana-4547	186	37	is	be	AUX
cana-4547	186	38	expected	expect	VERB
cana-4547	186	39	to	to	PART
cana-4547	186	40	be	be	AUX
cana-4547	186	41	the	the	DET
cana-4547	186	42	best	good	ADJ
cana-4547	186	43	performing	perform	VERB
cana-4547	186	44	model	model	NOUN
cana-4547	186	45	in	in	ADP
cana-4547	186	46	terms	term	NOUN
cana-4547	186	47	of	of	ADP
cana-4547	186	48	authentication	authentication	NOUN
cana-4547	186	49	accuracy	accuracy	NOUN
cana-4547	186	50	over	over	ADP
cana-4547	186	51	all	all	DET
cana-4547	186	52	datasets	dataset	NOUN
cana-4547	186	53	because	because	SCONJ
cana-4547	186	54	it	it	PRON
cana-4547	186	55	has	have	VERB
cana-4547	186	56	adaptive	adaptive	ADJ
cana-4547	186	57	feature	feature	NOUN
cana-4547	186	58	fusion	fusion	NOUN
cana-4547	186	59	and	and	CCONJ
cana-4547	186	60	transformer	transformer	NOUN
cana-4547	186	61	-	-	PUNCT
cana-4547	186	62	based	base	VERB
cana-4547	186	63	self	self	NOUN
cana-4547	186	64	-	-	PUNCT
cana-4547	186	65	attention	attention	NOUN
cana-4547	186	66	mechanisms	mechanism	NOUN
cana-4547	186	67	to	to	PART
cana-4547	186	68	change	change	VERB
cana-4547	186	69	fusion	fusion	NOUN
cana-4547	186	70	strategies	strategy	NOUN
cana-4547	186	71	in	in	ADP
cana-4547	186	72	real	real	ADJ
cana-4547	186	73	-	-	PUNCT
cana-4547	186	74	time	time	NOUN
cana-4547	186	75	,	,	PUNCT
cana-4547	186	76	depending	depend	VERB
cana-4547	186	77	on	on	ADP
cana-4547	186	78	security	security	NOUN
cana-4547	186	79	conditions	condition	NOUN
cana-4547	186	80	.	.	PUNCT
cana-4547	187	1	spoof	spoof	ADJ
cana-4547	187	2	detection	detection	NOUN
cana-4547	187	3	rates	rate	NOUN
cana-4547	187	4	were	be	AUX
cana-4547	187	5	assessed	assess	VERB
cana-4547	187	6	using	use	VERB
cana-4547	187	7	dfdc	dfdc	PROPN
cana-4547	187	8	(	(	PUNCT
cana-4547	187	9	face	face	NOUN
cana-4547	187	10	deepfakes	deepfake	NOUN
cana-4547	187	11	)	)	PUNCT
cana-4547	187	12	,	,	PUNCT
cana-4547	187	13	asvspoof	asvspoof	NOUN
cana-4547	187	14	2019	2019	NUM
cana-4547	187	15	(	(	PUNCT
cana-4547	187	16	voices	voice	NOUN
cana-4547	187	17	)	)	PUNCT
cana-4547	187	18	,	,	PUNCT
cana-4547	187	19	and	and	CCONJ
cana-4547	187	20	other	other	ADJ
cana-4547	187	21	artificial	artificial	ADJ
cana-4547	187	22	fingerprints	fingerprint	NOUN
cana-4547	187	23	datasets	dataset	NOUN
cana-4547	187	24	&	&	CCONJ
cana-4547	187	25	samples	sample	NOUN
cana-4547	187	26	.	.	PUNCT
cana-4547	188	1	the	the	DET
cana-4547	188	2	results	result	NOUN
cana-4547	188	3	are	be	AUX
cana-4547	188	4	set	set	VERB
cana-4547	188	5	out	out	ADP
cana-4547	188	6	in	in	ADP
cana-4547	188	7	table	table	NOUN
cana-4547	188	8	2	2	NUM
cana-4547	188	9	.	.	X
cana-4547	188	10	results	result	NOUN
cana-4547	188	11	in	in	ADP
cana-4547	188	12	table	table	NOUN
cana-4547	188	13	2	2	NUM
cana-4547	188	14	show	show	VERB
cana-4547	188	15	the	the	DET
cana-4547	188	16	evaluation	evaluation	NOUN
cana-4547	188	17	of	of	ADP
cana-4547	188	18	spoof	spoof	ADJ
cana-4547	188	19	detection	detection	NOUN
cana-4547	188	20	rates	rate	NOUN
cana-4547	188	21	for	for	ADP
cana-4547	188	22	deepfake	deepfake	VERB
cana-4547	188	23	facial	facial	ADJ
cana-4547	188	24	images	image	NOUN
cana-4547	188	25	(	(	PUNCT
cana-4547	188	26	dfdc	dfdc	ADJ
cana-4547	188	27	)	)	PUNCT
cana-4547	188	28	,	,	PUNCT
cana-4547	189	1	synthetic	synthetic	ADJ
cana-4547	189	2	voices	voice	NOUN
cana-4547	189	3	(	(	PUNCT
cana-4547	189	4	asvspoof	asvspoof	NOUN
cana-4547	189	5	2019	2019	NUM
cana-4547	189	6	)	)	PUNCT
cana-4547	189	7	,	,	PUNCT
cana-4547	189	8	and	and	CCONJ
cana-4547	189	9	artificial	artificial	ADJ
cana-4547	189	10	fingerprint	fingerprint	NOUN
cana-4547	189	11	attacks	attack	NOUN
cana-4547	189	12	,	,	PUNCT
cana-4547	189	13	showing	show	VERB
cana-4547	189	14	the	the	DET
cana-4547	189	15	performance	performance	NOUN
cana-4547	189	16	of	of	ADP
cana-4547	189	17	the	the	DET
cana-4547	189	18	spoof	spoof	NOUN
cana-4547	189	19	-	-	PUNCT
cana-4547	189	20	resistant	resistant	ADJ
cana-4547	189	21	multimodal	multimodal	NOUN
cana-4547	189	22	attention	attention	NOUN
cana-4547	189	23	transformer	transformer	NOUN
cana-4547	189	24	(	(	PUNCT
cana-4547	189	25	sma	sma	NOUN
cana-4547	189	26	-	-	PUNCT
cana-4547	189	27	transformer	transformer	NOUN
cana-4547	189	28	)	)	PUNCT
cana-4547	189	29	in	in	ADP
cana-4547	189	30	combating	combat	VERB
cana-4547	189	31	biometrics	biometric	NOUN
cana-4547	189	32	forgery	forgery	NOUN
cana-4547	189	33	.	.	PUNCT
cana-4547	190	1	the	the	DET
cana-4547	190	2	average	average	ADJ
cana-4547	190	3	rate	rate	NOUN
cana-4547	190	4	of	of	ADP
cana-4547	190	5	spoof	spoof	ADJ
cana-4547	190	6	detection	detection	NOUN
cana-4547	190	7	for	for	ADP
cana-4547	190	8	the	the	DET
cana-4547	190	9	proposed	propose	VERB
cana-4547	190	10	model	model	NOUN
cana-4547	190	11	is	be	AUX
cana-4547	190	12	99.1	99.1	NUM
cana-4547	190	13	%	%	NOUN
cana-4547	190	14	,	,	PUNCT
cana-4547	190	15	which	which	PRON
cana-4547	190	16	surpasses	surpass	VERB
cana-4547	190	17	method	method	NOUN
cana-4547	190	18	[	[	X
cana-4547	190	19	3	3	NUM
cana-4547	190	20	]	]	PUNCT
cana-4547	190	21	(	(	PUNCT
cana-4547	190	22	95.5	95.5	NUM
cana-4547	190	23	%	%	NOUN
cana-4547	190	24	)	)	PUNCT
cana-4547	190	25	,	,	PUNCT
cana-4547	190	26	method	method	NOUN
cana-4547	190	27	[	[	X
cana-4547	190	28	8	8	NUM
cana-4547	190	29	]	]	PUNCT
cana-4547	190	30	(	(	PUNCT
cana-4547	190	31	93.5	93.5	NUM
cana-4547	190	32	%	%	NOUN
cana-4547	190	33	)	)	PUNCT
cana-4547	190	34	,	,	PUNCT
cana-4547	190	35	and	and	CCONJ
cana-4547	190	36	method	method	NOUN
cana-4547	190	37	[	[	X
cana-4547	190	38	25	25	NUM
cana-4547	190	39	]	]	PUNCT
cana-4547	190	40	(	(	PUNCT
cana-4547	190	41	90.5	90.5	NUM
cana-4547	190	42	%	%	NOUN
cana-4547	190	43	)	)	PUNCT
cana-4547	190	44	on	on	ADP
cana-4547	190	45	an	an	DET
cana-4547	190	46	average	average	NOUN
cana-4547	190	47	.	.	PUNCT
cana-4547	191	1	the	the	DET
cana-4547	191	2	main	main	ADJ
cana-4547	191	3	reason	reason	NOUN
cana-4547	191	4	for	for	ADP
cana-4547	191	5	this	this	DET
cana-4547	191	6	performance	performance	NOUN
cana-4547	191	7	improvement	improvement	NOUN
cana-4547	191	8	lies	lie	VERB
cana-4547	191	9	with	with	ADP
cana-4547	191	10	cross	cross	ADJ
cana-4547	191	11	-	-	ADJ
cana-4547	191	12	modal	modal	ADJ
cana-4547	191	13	consistency	consistency	NOUN
cana-4547	191	14	analysis	analysis	NOUN
cana-4547	191	15	,	,	PUNCT
cana-4547	191	16	discovering	discover	VERB
cana-4547	191	17	inconsistencies	inconsistency	NOUN
cana-4547	191	18	of	of	ADP
cana-4547	191	19	the	the	DET
cana-4547	191	20	biometric	biometric	ADJ
cana-4547	191	21	signals	signal	NOUN
cana-4547	191	22	.	.	PUNCT
cana-4547	192	1	conventional	conventional	ADJ
cana-4547	192	2	methods	method	NOUN
cana-4547	192	3	apply	apply	VERB
cana-4547	192	4	only	only	ADV
cana-4547	192	5	unimodal	unimodal	ADJ
cana-4547	192	6	spoofing	spoof	VERB
cana-4547	192	7	detection	detection	NOUN
cana-4547	192	8	,	,	PUNCT
cana-4547	192	9	which	which	PRON
cana-4547	192	10	leaves	leave	VERB
cana-4547	192	11	them	they	PRON
cana-4547	192	12	very	very	ADV
cana-4547	192	13	much	much	ADV
cana-4547	192	14	open	open	ADJ
cana-4547	192	15	to	to	ADP
cana-4547	192	16	highly	highly	ADV
cana-4547	192	17	sophisticated	sophisticated	ADJ
cana-4547	192	18	deepfake	deepfake	NOUN
cana-4547	192	19	attacks	attack	NOUN
cana-4547	192	20	that	that	PRON
cana-4547	192	21	reveal	reveal	VERB
cana-4547	192	22	very	very	ADV
cana-4547	192	23	high	high	ADJ
cana-4547	192	24	realistic	realistic	ADJ
cana-4547	192	25	artifacts	artifact	NOUN
cana-4547	192	26	.	.	PUNCT
cana-4547	193	1	sma	sma	NOUN
cana-4547	193	2	-	-	PUNCT
cana-4547	193	3	transformer	transformer	NOUN
cana-4547	193	4	on	on	ADP
cana-4547	193	5	the	the	DET
cana-4547	193	6	other	other	ADJ
cana-4547	193	7	hand	hand	NOUN
cana-4547	193	8	applies	apply	VERB
cana-4547	193	9	optical	optical	ADJ
cana-4547	193	10	flow	flow	NOUN
cana-4547	193	11	cnn	cnn	PROPN
cana-4547	193	12	for	for	ADP
cana-4547	193	13	interpreting	interpret	VERB
cana-4547	193	14	facial	facial	ADJ
cana-4547	193	15	motions	motion	NOUN
cana-4547	193	16	,	,	PUNCT
cana-4547	193	17	mfcc	mfcc	NOUN
cana-4547	193	18	-	-	PUNCT
cana-4547	193	19	lstm	lstm	NOUN
cana-4547	193	20	networks	network	NOUN
cana-4547	193	21	for	for	ADP
cana-4547	193	22	detecting	detect	VERB
cana-4547	193	23	a	a	DET
cana-4547	193	24	voice	voice	NOUN
cana-4547	193	25	live	live	VERB
cana-4547	193	26	,	,	PUNCT
cana-4547	193	27	and	and	CCONJ
cana-4547	193	28	3d	3d	NUM
cana-4547	193	29	cnns	cnn	NOUN
cana-4547	193	30	for	for	ADP
cana-4547	193	31	checking	check	VERB
cana-4547	193	32	fingerprint	fingerprint	NOUN
cana-4547	193	33	ridges	ridge	NOUN
cana-4547	193	34	thus	thus	ADV
cana-4547	193	35	gets	get	VERB
cana-4547	193	36	precise	precise	ADJ
cana-4547	193	37	coverage	coverage	NOUN
cana-4547	193	38	on	on	ADP
cana-4547	193	39	all	all	DET
cana-4547	193	40	types	type	NOUN
cana-4547	193	41	of	of	ADP
cana-4547	193	42	synthetic	synthetic	ADJ
cana-4547	193	43	biometric	biometric	ADJ
cana-4547	193	44	artifacts	artifact	NOUN
cana-4547	193	45	.	.	PUNCT
cana-4547	194	1	table	table	NOUN
cana-4547	194	2	2	2	NUM
cana-4547	194	3	:	:	PUNCT
cana-4547	194	4	spoof	spoof	ADJ
cana-4547	194	5	detection	detection	NOUN
cana-4547	194	6	rate	rate	NOUN
cana-4547	194	7	(	(	PUNCT
cana-4547	194	8	%	%	INTJ
cana-4547	194	9	)	)	PUNCT
cana-4547	194	10	across	across	ADP
cana-4547	194	11	attack	attack	NOUN
cana-4547	194	12	modalities	modality	NOUN
cana-4547	194	13	model	model	NOUN
cana-4547	194	14	deepfake	deepfake	NOUN
cana-4547	194	15	face	face	NOUN
cana-4547	194	16	(	(	PUNCT
cana-4547	194	17	dfdc	dfdc	ADJ
cana-4547	194	18	)	)	PUNCT
cana-4547	194	19	synthetic	synthetic	ADJ
cana-4547	194	20	voice	voice	NOUN
cana-4547	194	21	(	(	PUNCT
cana-4547	194	22	asvspoof	asvspoof	NOUN
cana-4547	194	23	2019	2019	NUM
cana-4547	194	24	)	)	PUNCT
cana-4547	194	25	artificial	artificial	ADJ
cana-4547	194	26	fingerprint	fingerprint	NOUN
cana-4547	194	27	average	average	ADJ
cana-4547	194	28	detection	detection	NOUN
cana-4547	194	29	rate	rate	NOUN
cana-4547	194	30	proposed	propose	VERB
cana-4547	194	31	model	model	NOUN
cana-4547	194	32	99.3	99.3	NUM
cana-4547	194	33	98.9	98.9	NUM
cana-4547	194	34	99.2	99.2	NUM
cana-4547	194	35	99.1	99.1	NUM
cana-4547	194	36	method	method	NOUN
cana-4547	195	1	[	[	X
cana-4547	195	2	3	3	NUM
cana-4547	195	3	]	]	SYM
cana-4547	195	4	96.8	96.8	NUM
cana-4547	195	5	94.5	94.5	NUM
cana-4547	195	6	95.3	95.3	NUM
cana-4547	195	7	95.5	95.5	NUM
cana-4547	195	8	method	method	NOUN
cana-4547	195	9	[	[	X
cana-4547	195	10	8	8	NUM
cana-4547	195	11	]	]	SYM
cana-4547	195	12	94.5	94.5	NUM
cana-4547	195	13	92.3	92.3	NUM
cana-4547	195	14	93.8	93.8	NUM
cana-4547	195	15	93.5	93.5	NUM
cana-4547	195	16	method	method	NOUN
cana-4547	195	17	[	[	X
cana-4547	195	18	25	25	NUM
cana-4547	195	19	]	]	SYM
cana-4547	195	20	91.2	91.2	NUM
cana-4547	195	21	89.7	89.7	NUM
cana-4547	195	22	90.5	90.5	NUM
cana-4547	195	23	90.5	90.5	NUM
cana-4547	195	24	communications	communication	NOUN
cana-4547	195	25	on	on	ADP
cana-4547	195	26	applied	apply	VERB
cana-4547	195	27	nonlinear	nonlinear	ADJ
cana-4547	195	28	analysis	analysis	NOUN
cana-4547	195	29	issn	issn	NOUN
cana-4547	195	30	:	:	PUNCT
cana-4547	195	31	1074	1074	NUM
cana-4547	195	32	-	-	PUNCT
cana-4547	195	33	133x	133x	NUM
cana-4547	195	34	vol	vol	NOUN
cana-4547	195	35	32	32	NUM
cana-4547	196	1	no	no	NOUN
cana-4547	196	2	.	.	PUNCT
cana-4547	197	1	9s	9s	NUM
cana-4547	197	2	(	(	PUNCT
cana-4547	197	3	2025	2025	NUM
cana-4547	197	4	)	)	PUNCT
cana-4547	197	5	2669	2669	NUM
cana-4547	197	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	197	7	cross	cross	ADJ
cana-4547	197	8	-	-	ADJ
cana-4547	197	9	modal	modal	ADJ
cana-4547	197	10	consistency	consistency	NOUN
cana-4547	197	11	analysis	analysis	NOUN
cana-4547	197	12	implies	imply	VERB
cana-4547	197	13	the	the	DET
cana-4547	197	14	attainment	attainment	NOUN
cana-4547	197	15	of	of	ADP
cana-4547	197	16	maximum	maximum	ADJ
cana-4547	197	17	improvements	improvement	NOUN
cana-4547	197	18	in	in	ADP
cana-4547	197	19	spoof	spoof	ADJ
cana-4547	197	20	detection	detection	NOUN
cana-4547	197	21	by	by	ADP
cana-4547	197	22	the	the	DET
cana-4547	197	23	sma	sma	NOUN
cana-4547	197	24	-	-	PUNCT
cana-4547	197	25	transformer	transformer	NOUN
cana-4547	197	26	module	module	NOUN
cana-4547	197	27	,	,	PUNCT
cana-4547	197	28	thereby	thereby	ADV
cana-4547	197	29	setting	set	VERB
cana-4547	197	30	benchmarks	benchmark	NOUN
cana-4547	197	31	for	for	ADP
cana-4547	197	32	deepfake	deepfake	NOUN
cana-4547	197	33	and	and	CCONJ
cana-4547	197	34	spoof	spoof	ADJ
cana-4547	197	35	detection	detection	NOUN
cana-4547	197	36	.	.	PUNCT
cana-4547	198	1	the	the	DET
cana-4547	198	2	model	model	NOUN
cana-4547	198	3	evasion	evasion	NOUN
cana-4547	198	4	rate	rate	NOUN
cana-4547	198	5	of	of	ADP
cana-4547	198	6	adversarial	adversarial	ADJ
cana-4547	198	7	attacks	attack	NOUN
cana-4547	198	8	pg	pg	ADP
cana-4547	198	9	,	,	PUNCT
cana-4547	198	10	fgsm	fgsm	NOUN
cana-4547	198	11	,	,	PUNCT
cana-4547	198	12	and	and	CCONJ
cana-4547	198	13	gan	gin	VERB
cana-4547	198	14	-	-	PUNCT
cana-4547	198	15	based	base	VERB
cana-4547	198	16	adversarial	adversarial	ADJ
cana-4547	198	17	biometric	biometric	ADJ
cana-4547	198	18	samples	sample	NOUN
cana-4547	198	19	was	be	AUX
cana-4547	198	20	measured	measure	VERB
cana-4547	198	21	,	,	PUNCT
cana-4547	198	22	and	and	CCONJ
cana-4547	198	23	it	it	PRON
cana-4547	198	24	was	be	AUX
cana-4547	198	25	noted	note	VERB
cana-4547	198	26	that	that	SCONJ
cana-4547	198	27	the	the	PRON
cana-4547	198	28	lower	low	ADJ
cana-4547	198	29	the	the	DET
cana-4547	198	30	evasion	evasion	NOUN
cana-4547	198	31	rate	rate	NOUN
cana-4547	198	32	,	,	PUNCT
cana-4547	198	33	the	the	PRON
cana-4547	198	34	stronger	strong	ADJ
cana-4547	198	35	the	the	DET
cana-4547	198	36	model	model	NOUN
cana-4547	198	37	's	's	PART
cana-4547	198	38	resilience	resilience	NOUN
cana-4547	198	39	.	.	PUNCT
cana-4547	199	1	results	result	NOUN
cana-4547	199	2	are	be	AUX
cana-4547	199	3	presented	present	VERB
cana-4547	199	4	in	in	ADP
cana-4547	199	5	table	table	NOUN
cana-4547	199	6	3	3	NUM
cana-4547	199	7	.	.	PUNCT
cana-4547	199	8	table	table	NOUN
cana-4547	199	9	3	3	NUM
cana-4547	199	10	discusses	discuss	VERB
cana-4547	199	11	the	the	DET
cana-4547	199	12	conditions	condition	NOUN
cana-4547	199	13	of	of	ADP
cana-4547	199	14	model	model	NOUN
cana-4547	199	15	attack	attack	NOUN
cana-4547	199	16	evasion	evasion	NOUN
cana-4547	199	17	,	,	PUNCT
cana-4547	199	18	where	where	SCONJ
cana-4547	199	19	the	the	DET
cana-4547	199	20	resistance	resistance	NOUN
cana-4547	199	21	of	of	ADP
cana-4547	199	22	the	the	DET
cana-4547	199	23	model	model	NOUN
cana-4547	199	24	is	be	AUX
cana-4547	199	25	tested	test	VERB
cana-4547	199	26	against	against	ADP
cana-4547	199	27	adversarial	adversarial	ADJ
cana-4547	199	28	perturbations	perturbation	NOUN
cana-4547	199	29	occurring	occur	VERB
cana-4547	199	30	through	through	ADP
cana-4547	199	31	projected	project	VERB
cana-4547	199	32	gradient	gradient	ADJ
cana-4547	199	33	descent	descent	NOUN
cana-4547	199	34	(	(	PUNCT
cana-4547	199	35	pgd	pgd	PROPN
cana-4547	199	36	)	)	PUNCT
cana-4547	199	37	,	,	PUNCT
cana-4547	199	38	fast	fast	ADJ
cana-4547	199	39	gradient	gradient	NOUN
cana-4547	199	40	sign	sign	NOUN
cana-4547	199	41	method	method	NOUN
cana-4547	199	42	(	(	PUNCT
cana-4547	199	43	fgsm	fgsm	NOUN
cana-4547	199	44	)	)	PUNCT
cana-4547	199	45	,	,	PUNCT
cana-4547	199	46	and	and	CCONJ
cana-4547	199	47	synthetic	synthetic	ADJ
cana-4547	199	48	attacks	attack	NOUN
cana-4547	199	49	using	use	VERB
cana-4547	199	50	gans	gan	NOUN
cana-4547	199	51	.	.	PUNCT
cana-4547	200	1	the	the	DET
cana-4547	200	2	proposed	propose	VERB
cana-4547	200	3	model	model	NOUN
cana-4547	200	4	will	will	AUX
cana-4547	200	5	reach	reach	VERB
cana-4547	200	6	an	an	DET
cana-4547	200	7	average	average	ADJ
cana-4547	200	8	evasion	evasion	NOUN
cana-4547	200	9	rate	rate	NOUN
cana-4547	200	10	of	of	ADP
cana-4547	200	11	only	only	ADV
cana-4547	200	12	1.2	1.2	NUM
cana-4547	200	13	%	%	NOUN
cana-4547	200	14	,	,	PUNCT
cana-4547	200	15	which	which	PRON
cana-4547	200	16	is	be	AUX
cana-4547	200	17	much	much	ADV
cana-4547	200	18	better	well	ADJ
cana-4547	200	19	than	than	ADP
cana-4547	200	20	method	method	NOUN
cana-4547	200	21	[	[	X
cana-4547	200	22	3	3	NUM
cana-4547	200	23	]	]	PUNCT
cana-4547	200	24	(	(	PUNCT
cana-4547	200	25	4.8	4.8	NUM
cana-4547	200	26	%	%	NOUN
cana-4547	200	27	)	)	PUNCT
cana-4547	200	28	,	,	PUNCT
cana-4547	200	29	method	method	NOUN
cana-4547	200	30	[	[	X
cana-4547	200	31	8	8	NUM
cana-4547	200	32	]	]	PUNCT
cana-4547	200	33	(	(	PUNCT
cana-4547	200	34	6.3	6.3	NUM
cana-4547	200	35	%	%	NOUN
cana-4547	200	36	)	)	PUNCT
cana-4547	200	37	,	,	PUNCT
cana-4547	200	38	and	and	CCONJ
cana-4547	200	39	method	method	NOUN
cana-4547	200	40	[	[	X
cana-4547	200	41	25	25	NUM
cana-4547	200	42	]	]	PUNCT
cana-4547	200	43	(	(	PUNCT
cana-4547	200	44	9.0	9.0	NUM
cana-4547	200	45	%	%	NOUN
cana-4547	200	46	)	)	PUNCT
cana-4547	200	47	.	.	PUNCT
cana-4547	201	1	the	the	DET
cana-4547	201	2	differentially	differentially	ADV
cana-4547	201	3	private	private	ADJ
cana-4547	201	4	adversarial	adversarial	ADJ
cana-4547	201	5	training	training	NOUN
cana-4547	201	6	(	(	PUNCT
cana-4547	201	7	dpat	dpat	NOUN
cana-4547	201	8	)	)	PUNCT
cana-4547	201	9	module	module	NOUN
cana-4547	201	10	increases	increase	VERB
cana-4547	201	11	robustness	robustness	NOUN
cana-4547	201	12	and	and	CCONJ
cana-4547	201	13	protection	protection	NOUN
cana-4547	201	14	against	against	ADP
cana-4547	201	15	recovery	recovery	NOUN
cana-4547	201	16	by	by	ADP
cana-4547	201	17	learning	learn	VERB
cana-4547	201	18	from	from	ADP
cana-4547	201	19	both	both	DET
cana-4547	201	20	model	model	NOUN
cana-4547	201	21	inversed	inverse	VERB
cana-4547	201	22	attacks	attack	NOUN
cana-4547	201	23	and	and	CCONJ
cana-4547	201	24	generalization	generalization	NOUN
cana-4547	201	25	against	against	ADP
cana-4547	201	26	adversarial	adversarial	ADJ
cana-4547	201	27	perturbations	perturbation	NOUN
cana-4547	201	28	.	.	PUNCT
cana-4547	202	1	contrary	contrary	ADJ
cana-4547	202	2	to	to	ADP
cana-4547	202	3	existing	exist	VERB
cana-4547	202	4	techniques	technique	NOUN
cana-4547	202	5	,	,	PUNCT
cana-4547	202	6	which	which	PRON
cana-4547	202	7	do	do	AUX
cana-4547	202	8	not	not	PART
cana-4547	202	9	include	include	VERB
cana-4547	202	10	built	build	VERB
cana-4547	202	11	-	-	PUNCT
cana-4547	202	12	in	in	ADP
cana-4547	202	13	resilience	resilience	NOUN
cana-4547	202	14	to	to	ADP
cana-4547	202	15	adversaries	adversary	NOUN
cana-4547	202	16	,	,	PUNCT
cana-4547	202	17	the	the	DET
cana-4547	202	18	proposed	propose	VERB
cana-4547	202	19	method	method	NOUN
cana-4547	202	20	learns	learn	VERB
cana-4547	202	21	from	from	ADP
cana-4547	202	22	both	both	CCONJ
cana-4547	202	23	authentic	authentic	ADJ
cana-4547	202	24	and	and	CCONJ
cana-4547	202	25	adversary	adversary	NOUN
cana-4547	202	26	-	-	PUNCT
cana-4547	202	27	generated	generate	VERB
cana-4547	202	28	biometric	biometric	ADJ
cana-4547	202	29	samples	sample	NOUN
cana-4547	202	30	.	.	PUNCT
cana-4547	203	1	figure	figure	NOUN
cana-4547	203	2	3	3	NUM
cana-4547	203	3	.	.	PUNCT
cana-4547	203	4	model	model	PROPN
cana-4547	203	5	’s	’s	PART
cana-4547	203	6	overall	overall	ADJ
cana-4547	203	7	result	result	NOUN
cana-4547	203	8	analysis	analysis	NOUN
cana-4547	203	9	table	table	NOUN
cana-4547	203	10	3	3	NUM
cana-4547	203	11	:	:	PUNCT
cana-4547	203	12	evasion	evasion	NOUN
cana-4547	203	13	rate	rate	NOUN
cana-4547	203	14	of	of	ADP
cana-4547	203	15	adversarial	adversarial	ADJ
cana-4547	203	16	attacks	attack	NOUN
cana-4547	203	17	(	(	PUNCT
cana-4547	203	18	%	%	INTJ
cana-4547	203	19	)	)	PUNCT
cana-4547	203	20	(	(	PUNCT
cana-4547	203	21	lower	low	ADJ
cana-4547	203	22	is	be	AUX
cana-4547	203	23	better	well	ADJ
cana-4547	203	24	)	)	PUNCT
cana-4547	203	25	model	model	NOUN
cana-4547	203	26	pgd	pgd	PROPN
cana-4547	203	27	attack	attack	PROPN
cana-4547	203	28	fgsm	fgsm	PROPN
cana-4547	203	29	attack	attack	PROPN
cana-4547	203	30	gan	gan	PROPN
cana-4547	203	31	-	-	PUNCT
cana-4547	203	32	based	base	VERB
cana-4547	203	33	attack	attack	NOUN
cana-4547	203	34	average	average	ADJ
cana-4547	203	35	evasion	evasion	NOUN
cana-4547	203	36	rate	rate	NOUN
cana-4547	203	37	proposed	propose	VERB
cana-4547	203	38	model	model	NOUN
cana-4547	203	39	1.2	1.2	NUM
cana-4547	203	40	1.4	1.4	NUM
cana-4547	203	41	1.0	1.0	NUM
cana-4547	203	42	1.2	1.2	NUM
cana-4547	203	43	method	method	NOUN
cana-4547	203	44	[	[	X
cana-4547	203	45	3	3	NUM
cana-4547	203	46	]	]	SYM
cana-4547	203	47	4.5	4.5	NUM
cana-4547	203	48	5.2	5.2	NUM
cana-4547	203	49	4.8	4.8	NUM
cana-4547	203	50	4.8	4.8	NUM
cana-4547	203	51	method	method	NOUN
cana-4547	203	52	[	[	X
cana-4547	203	53	8	8	NUM
cana-4547	203	54	]	]	SYM
cana-4547	203	55	6.1	6.1	NUM
cana-4547	203	56	6.5	6.5	NUM
cana-4547	203	57	6.3	6.3	NUM
cana-4547	203	58	6.3	6.3	NUM
cana-4547	203	59	method	method	NOUN
cana-4547	203	60	[	[	X
cana-4547	203	61	25	25	NUM
cana-4547	203	62	]	]	SYM
cana-4547	203	63	8.7	8.7	NUM
cana-4547	203	64	9.2	9.2	NUM
cana-4547	203	65	9.0	9.0	NUM
cana-4547	203	66	9.0	9.0	NUM
cana-4547	203	67	the	the	DET
cana-4547	203	68	dpat	dpat	NOUN
cana-4547	203	69	module	module	NOUN
cana-4547	203	70	,	,	PUNCT
cana-4547	203	71	which	which	PRON
cana-4547	203	72	integrates	integrate	VERB
cana-4547	203	73	differentially	differentially	ADV
cana-4547	203	74	private	private	ADJ
cana-4547	203	75	stochastic	stochastic	ADJ
cana-4547	203	76	gradient	gradient	ADJ
cana-4547	203	77	descent	descent	NOUN
cana-4547	203	78	(	(	PUNCT
cana-4547	203	79	dp	dp	NOUN
cana-4547	203	80	-	-	PUNCT
cana-4547	203	81	sgd	sgd	NOUN
cana-4547	203	82	)	)	PUNCT
cana-4547	203	83	with	with	ADP
cana-4547	203	84	the	the	DET
cana-4547	203	85	principles	principle	NOUN
cana-4547	203	86	of	of	ADP
cana-4547	203	87	adversarial	adversarial	ADJ
cana-4547	203	88	training	training	NOUN
cana-4547	203	89	,	,	PUNCT
cana-4547	203	90	drastically	drastically	ADV
cana-4547	203	91	increases	increase	VERB
cana-4547	203	92	robustness	robustness	NOUN
cana-4547	203	93	and	and	CCONJ
cana-4547	203	94	reduces	reduce	VERB
cana-4547	203	95	the	the	DET
cana-4547	203	96	evasion	evasion	NOUN
cana-4547	203	97	rate	rate	NOUN
cana-4547	203	98	to	to	ADP
cana-4547	203	99	1.2	1.2	NUM
cana-4547	203	100	%	%	NOUN
cana-4547	203	101	,	,	PUNCT
cana-4547	203	102	as	as	SCONJ
cana-4547	203	103	opposed	oppose	VERB
cana-4547	203	104	to	to	PART
cana-4547	203	105	method	method	VERB
cana-4547	203	106	[	[	X
cana-4547	203	107	3	3	X
cana-4547	203	108	]	]	PUNCT
cana-4547	203	109	with	with	ADP
cana-4547	203	110	an	an	DET
cana-4547	203	111	evasion	evasion	NOUN
cana-4547	203	112	rate	rate	NOUN
cana-4547	203	113	of	of	ADP
cana-4547	203	114	4.8	4.8	NUM
cana-4547	203	115	%	%	NOUN
cana-4547	203	116	.	.	PUNCT
cana-4547	204	1	continuous	continuous	ADJ
cana-4547	204	2	authentication	authentication	NOUN
cana-4547	204	3	security	security	NOUN
cana-4547	204	4	was	be	AUX
cana-4547	204	5	also	also	ADV
cana-4547	204	6	assessed	assess	VERB
cana-4547	204	7	according	accord	VERB
cana-4547	204	8	to	to	ADP
cana-4547	204	9	session	session	NOUN
cana-4547	204	10	hijacking	hijacking	NOUN
cana-4547	204	11	detection	detection	NOUN
cana-4547	204	12	rates	rate	NOUN
cana-4547	204	13	,	,	PUNCT
cana-4547	204	14	which	which	PRON
cana-4547	204	15	tell	tell	VERB
cana-4547	204	16	how	how	SCONJ
cana-4547	204	17	well	well	ADV
cana-4547	204	18	the	the	DET
cana-4547	204	19	model	model	NOUN
cana-4547	204	20	identifies	identify	VERB
cana-4547	204	21	unauthorized	unauthorized	ADJ
cana-4547	204	22	access	access	NOUN
cana-4547	204	23	attempts	attempt	NOUN
cana-4547	204	24	.	.	PUNCT
cana-4547	205	1	table	table	NOUN
cana-4547	205	2	4	4	NUM
cana-4547	205	3	presents	present	NOUN
cana-4547	205	4	detection	detection	NOUN
cana-4547	205	5	rates	rate	NOUN
cana-4547	205	6	.	.	PUNCT
cana-4547	205	7	.	.	PUNCT
cana-4547	206	1	table	table	NOUN
cana-4547	206	2	4	4	NUM
cana-4547	206	3	shows	show	VERB
cana-4547	206	4	session	session	NOUN
cana-4547	206	5	hijacking	hijacking	NOUN
cana-4547	206	6	detection	detection	NOUN
cana-4547	206	7	rates	rate	NOUN
cana-4547	206	8	,	,	PUNCT
cana-4547	206	9	which	which	PRON
cana-4547	206	10	determine	determine	VERB
cana-4547	206	11	how	how	SCONJ
cana-4547	206	12	successfully	successfully	ADV
cana-4547	206	13	the	the	DET
cana-4547	206	14	model	model	NOUN
cana-4547	206	15	measures	measure	VERB
cana-4547	206	16	unauthorized	unauthorized	ADJ
cana-4547	206	17	access	access	NOUN
cana-4547	206	18	attempts	attempt	NOUN
cana-4547	206	19	by	by	ADP
cana-4547	206	20	means	mean	NOUN
cana-4547	206	21	of	of	ADP
cana-4547	206	22	the	the	DET
cana-4547	206	23	behavioral	behavioral	ADJ
cana-4547	206	24	biometrics	biometric	NOUN
cana-4547	206	25	of	of	ADP
cana-4547	206	26	the	the	DET
cana-4547	206	27	biotracker	biotracker	NOUN
cana-4547	206	28	gait	gait	PROPN
cana-4547	206	29	dataset	dataset	VERB
cana-4547	206	30	and	and	CCONJ
cana-4547	206	31	the	the	DET
cana-4547	206	32	typingdna	typingdna	ADJ
cana-4547	206	33	communications	communication	NOUN
cana-4547	206	34	on	on	ADP
cana-4547	206	35	applied	apply	VERB
cana-4547	206	36	nonlinear	nonlinear	ADJ
cana-4547	206	37	analysis	analysis	NOUN
cana-4547	206	38	issn	issn	NOUN
cana-4547	206	39	:	:	PUNCT
cana-4547	206	40	1074	1074	NUM
cana-4547	206	41	-	-	PUNCT
cana-4547	206	42	133x	133x	NUM
cana-4547	206	43	vol	vol	NOUN
cana-4547	206	44	32	32	NUM
cana-4547	206	45	no	no	NOUN
cana-4547	206	46	.	.	PUNCT
cana-4547	207	1	9s	9s	NUM
cana-4547	207	2	(	(	PUNCT
cana-4547	207	3	2025	2025	NUM
cana-4547	207	4	)	)	PUNCT
cana-4547	207	5	2670	2670	NUM
cana-4547	207	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	207	7	keystroke	keystroke	PROPN
cana-4547	207	8	dataset	dataset	PROPN
cana-4547	207	9	.	.	PUNCT
cana-4547	208	1	the	the	DET
cana-4547	208	2	proposed	propose	VERB
cana-4547	208	3	average	average	ADJ
cana-4547	208	4	detection	detection	NOUN
cana-4547	208	5	rate	rate	NOUN
cana-4547	208	6	was	be	AUX
cana-4547	208	7	99.2	99.2	NUM
cana-4547	208	8	%	%	NOUN
cana-4547	208	9	higher	high	ADJ
cana-4547	208	10	than	than	ADP
cana-4547	208	11	method	method	NOUN
cana-4547	208	12	[	[	X
cana-4547	208	13	3	3	NUM
cana-4547	208	14	]	]	PUNCT
cana-4547	208	15	(	(	PUNCT
cana-4547	208	16	95.7	95.7	NUM
cana-4547	208	17	%	%	NOUN
cana-4547	208	18	)	)	PUNCT
cana-4547	208	19	,	,	PUNCT
cana-4547	208	20	method	method	NOUN
cana-4547	208	21	[	[	X
cana-4547	208	22	8	8	NUM
cana-4547	208	23	]	]	X
cana-4547	208	24	(	(	PUNCT
cana-4547	208	25	93.3	93.3	NUM
cana-4547	208	26	%	%	NOUN
cana-4547	208	27	)	)	PUNCT
cana-4547	208	28	,	,	PUNCT
cana-4547	208	29	and	and	CCONJ
cana-4547	208	30	method	method	NOUN
cana-4547	208	31	[	[	X
cana-4547	208	32	25	25	NUM
cana-4547	208	33	]	]	X
cana-4547	208	34	(	(	PUNCT
cana-4547	208	35	90.2	90.2	NUM
cana-4547	208	36	%	%	NOUN
cana-4547	208	37	)	)	PUNCT
cana-4547	208	38	.	.	PUNCT
cana-4547	209	1	the	the	DET
cana-4547	209	2	modules	module	NOUN
cana-4547	209	3	that	that	PRON
cana-4547	209	4	contribute	contribute	VERB
cana-4547	209	5	to	to	ADP
cana-4547	209	6	this	this	DET
cana-4547	209	7	performance	performance	NOUN
cana-4547	209	8	include	include	VERB
cana-4547	209	9	the	the	DET
cana-4547	209	10	ensemble	ensemble	ADJ
cana-4547	209	11	learning	learning	NOUN
cana-4547	209	12	with	with	ADP
cana-4547	209	13	zero	zero	NUM
cana-4547	209	14	trust	trust	NOUN
cana-4547	209	15	verification	verification	NOUN
cana-4547	209	16	(	(	PUNCT
cana-4547	209	17	ezv	ezv	NOUN
cana-4547	209	18	-	-	PUNCT
cana-4547	209	19	model	model	NOUN
cana-4547	209	20	)	)	PUNCT
cana-4547	209	21	and	and	CCONJ
cana-4547	209	22	real	real	ADJ
cana-4547	209	23	-	-	PUNCT
cana-4547	209	24	time	time	NOUN
cana-4547	209	25	behavioral	behavioral	ADJ
cana-4547	209	26	biometric	biometric	ADJ
cana-4547	209	27	security	security	NOUN
cana-4547	209	28	(	(	PUNCT
cana-4547	209	29	rbb	rbb	PROPN
cana-4547	209	30	-	-	PUNCT
cana-4547	209	31	sec	sec	PROPN
cana-4547	209	32	)	)	PUNCT
cana-4547	209	33	which	which	PRON
cana-4547	209	34	both	both	CCONJ
cana-4547	209	35	operate	operate	VERB
cana-4547	209	36	with	with	ADP
cana-4547	209	37	continuous	continuous	ADJ
cana-4547	209	38	analysis	analysis	NOUN
cana-4547	209	39	of	of	ADP
cana-4547	209	40	user	user	NOUN
cana-4547	209	41	activity	activity	NOUN
cana-4547	209	42	throughout	throughout	ADP
cana-4547	209	43	an	an	DET
cana-4547	209	44	active	active	ADJ
cana-4547	209	45	session	session	NOUN
cana-4547	209	46	.	.	PUNCT
cana-4547	210	1	unlike	unlike	ADP
cana-4547	210	2	traditional	traditional	ADJ
cana-4547	210	3	biometric	biometric	ADJ
cana-4547	210	4	systems	system	NOUN
cana-4547	210	5	,	,	PUNCT
cana-4547	210	6	where	where	SCONJ
cana-4547	210	7	the	the	DET
cana-4547	210	8	one	one	NUM
cana-4547	210	9	-	-	PUNCT
cana-4547	210	10	time	time	NOUN
cana-4547	210	11	authentication	authentication	NOUN
cana-4547	210	12	model	model	NOUN
cana-4547	210	13	is	be	AUX
cana-4547	210	14	applied	apply	VERB
cana-4547	210	15	,	,	PUNCT
cana-4547	210	16	in	in	ADP
cana-4547	210	17	the	the	DET
cana-4547	210	18	zero	zero	NUM
cana-4547	210	19	trust	trust	NOUN
cana-4547	210	20	model	model	NOUN
cana-4547	210	21	,	,	PUNCT
cana-4547	210	22	any	any	DET
cana-4547	210	23	abnormality	abnormality	NOUN
cana-4547	210	24	in	in	ADP
cana-4547	210	25	the	the	DET
cana-4547	210	26	normal	normal	ADJ
cana-4547	210	27	behavior	behavior	NOUN
cana-4547	210	28	deviation	deviation	NOUN
cana-4547	210	29	of	of	ADP
cana-4547	210	30	a	a	DET
cana-4547	210	31	user	user	NOUN
cana-4547	210	32	instantly	instantly	ADV
cana-4547	210	33	leads	lead	VERB
cana-4547	210	34	to	to	ADP
cana-4547	210	35	real	real	ADJ
cana-4547	210	36	-	-	PUNCT
cana-4547	210	37	time	time	NOUN
cana-4547	210	38	reauthentication	reauthentication	NOUN
cana-4547	210	39	or	or	CCONJ
cana-4547	210	40	even	even	ADV
cana-4547	210	41	session	session	NOUN
cana-4547	210	42	termination	termination	NOUN
cana-4547	210	43	,	,	PUNCT
cana-4547	210	44	resulting	result	VERB
cana-4547	210	45	in	in	ADP
cana-4547	210	46	a	a	DET
cana-4547	210	47	significantly	significantly	ADV
cana-4547	210	48	reduced	reduce	VERB
cana-4547	210	49	risk	risk	NOUN
cana-4547	210	50	of	of	ADP
cana-4547	210	51	compromised	compromise	VERB
cana-4547	210	52	sessions	session	NOUN
cana-4547	210	53	or	or	CCONJ
cana-4547	210	54	unauthorized	unauthorized	ADJ
cana-4547	210	55	access	access	NOUN
cana-4547	210	56	attempts	attempt	NOUN
cana-4547	210	57	.	.	PUNCT
cana-4547	211	1	table	table	NOUN
cana-4547	211	2	4	4	NUM
cana-4547	211	3	:	:	PUNCT
cana-4547	211	4	session	session	NOUN
cana-4547	211	5	hijacking	hijacking	NOUN
cana-4547	211	6	detection	detection	NOUN
cana-4547	211	7	rate	rate	NOUN
cana-4547	211	8	(	(	PUNCT
cana-4547	211	9	%	%	INTJ
cana-4547	211	10	)	)	PUNCT
cana-4547	211	11	model	model	NOUN
cana-4547	211	12	biotracker	biotracker	PROPN
cana-4547	211	13	(	(	PUNCT
cana-4547	211	14	gait	gait	PROPN
cana-4547	211	15	)	)	PUNCT
cana-4547	211	16	typingdna	typingdna	ADV
cana-4547	211	17	(	(	PUNCT
cana-4547	211	18	keystroke	keystroke	NOUN
cana-4547	211	19	)	)	PUNCT
cana-4547	211	20	combined	combine	VERB
cana-4547	211	21	risk	risk	NOUN
cana-4547	211	22	detection	detection	NOUN
cana-4547	211	23	average	average	ADJ
cana-4547	211	24	detection	detection	NOUN
cana-4547	211	25	rate	rate	NOUN
cana-4547	211	26	proposed	propose	VERB
cana-4547	211	27	model	model	NOUN
cana-4547	211	28	99.2	99.2	NUM
cana-4547	211	29	98.7	98.7	NUM
cana-4547	211	30	99.0	99.0	NUM
cana-4547	211	31	99.2	99.2	NUM
cana-4547	211	32	method	method	NOUN
cana-4547	211	33	[	[	X
cana-4547	211	34	3	3	NUM
cana-4547	211	35	]	]	SYM
cana-4547	211	36	95.8	95.8	NUM
cana-4547	211	37	95.3	95.3	NUM
cana-4547	211	38	96.0	96.0	NUM
cana-4547	211	39	95.7	95.7	NUM
cana-4547	211	40	method	method	NOUN
cana-4547	211	41	[	[	X
cana-4547	211	42	8	8	NUM
cana-4547	211	43	]	]	SYM
cana-4547	211	44	93.2	93.2	NUM
cana-4547	211	45	92.5	92.5	NUM
cana-4547	211	46	94.0	94.0	NUM
cana-4547	211	47	93.3	93.3	NUM
cana-4547	211	48	method	method	NOUN
cana-4547	211	49	[	[	X
cana-4547	211	50	25	25	NUM
cana-4547	211	51	]	]	SYM
cana-4547	211	52	90.1	90.1	NUM
cana-4547	211	53	89.5	89.5	NUM
cana-4547	211	54	91.2	91.2	NUM
cana-4547	211	55	90.2	90.2	NUM
cana-4547	211	56	the	the	DET
cana-4547	211	57	modules	module	NOUN
cana-4547	211	58	of	of	ADP
cana-4547	211	59	ezv	ezv	NOUN
cana-4547	211	60	-	-	PUNCT
cana-4547	211	61	model	model	NOUN
cana-4547	211	62	and	and	CCONJ
cana-4547	211	63	rbb	rbb	PROPN
cana-4547	211	64	-	-	PUNCT
cana-4547	211	65	sec	sec	PROPN
cana-4547	211	66	have	have	AUX
cana-4547	211	67	enabled	enable	VERB
cana-4547	211	68	severe	severe	ADJ
cana-4547	211	69	inaccuracies	inaccuracy	NOUN
cana-4547	211	70	in	in	ADP
cana-4547	211	71	session	session	NOUN
cana-4547	211	72	hijacking	hijacking	NOUN
cana-4547	211	73	detection	detection	NOUN
cana-4547	211	74	along	along	ADP
cana-4547	211	75	with	with	ADP
cana-4547	211	76	verification	verification	NOUN
cana-4547	211	77	and	and	CCONJ
cana-4547	211	78	behavioral	behavioral	ADJ
cana-4547	211	79	biometric	biometric	ADJ
cana-4547	211	80	security	security	NOUN
cana-4547	211	81	under	under	ADP
cana-4547	211	82	the	the	DET
cana-4547	211	83	zero	zero	NUM
cana-4547	211	84	trust	trust	NOUN
cana-4547	211	85	model	model	NOUN
cana-4547	211	86	.	.	PUNCT
cana-4547	212	1	false	false	ADJ
cana-4547	212	2	rejection	rejection	NOUN
cana-4547	212	3	rate	rate	NOUN
cana-4547	212	4	is	be	AUX
cana-4547	212	5	used	use	VERB
cana-4547	212	6	to	to	PART
cana-4547	212	7	show	show	VERB
cana-4547	212	8	the	the	DET
cana-4547	212	9	frequency	frequency	NOUN
cana-4547	212	10	at	at	ADP
cana-4547	212	11	which	which	PRON
cana-4547	212	12	people	people	NOUN
cana-4547	212	13	are	be	AUX
cana-4547	212	14	refused	refuse	VERB
cana-4547	212	15	access	access	NOUN
cana-4547	212	16	in	in	ADP
cana-4547	212	17	authentic	authentic	ADJ
cana-4547	212	18	,	,	PUNCT
cana-4547	212	19	right	right	ADJ
cana-4547	212	20	conditions	condition	NOUN
cana-4547	212	21	.	.	PUNCT
cana-4547	213	1	results	result	NOUN
cana-4547	213	2	are	be	AUX
cana-4547	213	3	presented	present	VERB
cana-4547	213	4	in	in	ADP
cana-4547	213	5	table	table	NOUN
cana-4547	213	6	5	5	NUM
cana-4547	213	7	.	.	PUNCT
cana-4547	214	1	the	the	DET
cana-4547	214	2	table	table	NOUN
cana-4547	214	3	shows	show	VERB
cana-4547	214	4	the	the	DET
cana-4547	214	5	results	result	NOUN
cana-4547	214	6	of	of	ADP
cana-4547	214	7	false	false	ADJ
cana-4547	214	8	rejection	rejection	NOUN
cana-4547	214	9	rate	rate	NOUN
cana-4547	214	10	(	(	PUNCT
cana-4547	214	11	frr	frr	PROPN
cana-4547	214	12	)	)	PUNCT
cana-4547	214	13	.	.	PUNCT
cana-4547	215	1	the	the	DET
cana-4547	215	2	false	false	ADJ
cana-4547	215	3	rejection	rejection	NOUN
cana-4547	215	4	rate	rate	NOUN
cana-4547	215	5	(	(	PUNCT
cana-4547	215	6	frr	frr	NOUN
cana-4547	215	7	)	)	PUNCT
cana-4547	215	8	shows	show	VERB
cana-4547	215	9	how	how	SCONJ
cana-4547	215	10	often	often	ADV
cana-4547	215	11	genuine	genuine	ADJ
cana-4547	215	12	users	user	NOUN
cana-4547	215	13	are	be	AUX
cana-4547	215	14	rejected	reject	VERB
cana-4547	215	15	.	.	PUNCT
cana-4547	216	1	the	the	DET
cana-4547	216	2	proposed	propose	VERB
cana-4547	216	3	model	model	NOUN
cana-4547	216	4	averages	average	NOUN
cana-4547	216	5	only	only	ADV
cana-4547	216	6	1.3	1.3	NUM
cana-4547	216	7	%	%	NOUN
cana-4547	216	8	frr	frr	NOUN
cana-4547	216	9	which	which	PRON
cana-4547	216	10	is	be	AUX
cana-4547	216	11	a	a	DET
cana-4547	216	12	lot	lot	NOUN
cana-4547	216	13	lower	low	ADJ
cana-4547	216	14	than	than	ADP
cana-4547	216	15	methods	method	NOUN
cana-4547	216	16	[	[	X
cana-4547	216	17	3	3	NUM
cana-4547	216	18	]	]	PUNCT
cana-4547	216	19	(	(	PUNCT
cana-4547	216	20	3.5	3.5	NUM
cana-4547	216	21	%	%	NOUN
cana-4547	216	22	)	)	PUNCT
cana-4547	216	23	,	,	PUNCT
cana-4547	217	1	[	[	X
cana-4547	217	2	8	8	NUM
cana-4547	217	3	]	]	X
cana-4547	217	4	(	(	PUNCT
cana-4547	217	5	4.5	4.5	NUM
cana-4547	217	6	%	%	NOUN
cana-4547	217	7	)	)	PUNCT
cana-4547	217	8	,	,	PUNCT
cana-4547	217	9	and	and	CCONJ
cana-4547	217	10	[	[	X
cana-4547	217	11	25	25	NUM
cana-4547	217	12	]	]	PUNCT
cana-4547	217	13	(	(	PUNCT
cana-4547	217	14	5.8	5.8	NUM
cana-4547	217	15	%	%	NOUN
cana-4547	217	16	)	)	PUNCT
cana-4547	217	17	.	.	PUNCT
cana-4547	218	1	this	this	DET
cana-4547	218	2	low	low	ADJ
cana-4547	218	3	-	-	PUNCT
cana-4547	218	4	frr	frr	NOUN
cana-4547	218	5	was	be	AUX
cana-4547	218	6	achieved	achieve	VERB
cana-4547	218	7	using	use	VERB
cana-4547	218	8	context	context	NOUN
cana-4547	218	9	-	-	PUNCT
cana-4547	218	10	aware	aware	ADJ
cana-4547	218	11	adaptive	adaptive	ADJ
cana-4547	218	12	fusion	fusion	NOUN
cana-4547	218	13	in	in	ADP
cana-4547	218	14	amfft	amfft	NOUN
cana-4547	218	15	which	which	PRON
cana-4547	218	16	protects	protect	VERB
cana-4547	218	17	it	it	PRON
cana-4547	218	18	from	from	ADP
cana-4547	218	19	changes	change	NOUN
cana-4547	218	20	in	in	ADP
cana-4547	218	21	the	the	DET
cana-4547	218	22	quality	quality	NOUN
cana-4547	218	23	of	of	ADP
cana-4547	218	24	biometric	biometric	ADJ
cana-4547	218	25	samples	sample	NOUN
cana-4547	218	26	.	.	PUNCT
cana-4547	219	1	most	most	ADJ
cana-4547	219	2	traditional	traditional	ADJ
cana-4547	219	3	multimodal	multimodal	ADJ
cana-4547	219	4	biometric	biometric	ADJ
cana-4547	219	5	systems	system	NOUN
cana-4547	219	6	impose	impose	VERB
cana-4547	219	7	very	very	ADV
cana-4547	219	8	rigid	rigid	ADJ
cana-4547	219	9	thresholding	thresholding	NOUN
cana-4547	219	10	which	which	PRON
cana-4547	219	11	makes	make	VERB
cana-4547	219	12	them	they	PRON
cana-4547	219	13	reject	reject	VERB
cana-4547	219	14	very	very	ADV
cana-4547	219	15	high	high	ADJ
cana-4547	219	16	numbers	number	NOUN
cana-4547	219	17	of	of	ADP
cana-4547	219	18	good	good	ADJ
cana-4547	219	19	samples	sample	NOUN
cana-4547	219	20	whenever	whenever	SCONJ
cana-4547	219	21	one	one	NUM
cana-4547	219	22	of	of	ADP
cana-4547	219	23	their	their	PRON
cana-4547	219	24	biometrics	biometric	NOUN
cana-4547	219	25	is	be	AUX
cana-4547	219	26	either	either	CCONJ
cana-4547	219	27	noisy	noisy	ADJ
cana-4547	219	28	or	or	CCONJ
cana-4547	219	29	completely	completely	ADV
cana-4547	219	30	unavailable	unavailable	ADJ
cana-4547	219	31	.	.	PUNCT
cana-4547	220	1	the	the	DET
cana-4547	220	2	method	method	NOUN
cana-4547	220	3	presented	present	VERB
cana-4547	220	4	reduces	reduce	VERB
cana-4547	220	5	the	the	DET
cana-4547	220	6	effect	effect	NOUN
cana-4547	220	7	of	of	ADP
cana-4547	220	8	this	this	PRON
cana-4547	220	9	by	by	ADP
cana-4547	220	10	modifying	modify	VERB
cana-4547	220	11	the	the	DET
cana-4547	220	12	decision	decision	NOUN
cana-4547	220	13	boundaries	boundary	NOUN
cana-4547	220	14	according	accord	VERB
cana-4547	220	15	to	to	ADP
cana-4547	220	16	the	the	DET
cana-4547	220	17	security	security	NOUN
cana-4547	220	18	states	state	NOUN
cana-4547	220	19	and	and	CCONJ
cana-4547	220	20	real	real	ADJ
cana-4547	220	21	-	-	PUNCT
cana-4547	220	22	time	time	NOUN
cana-4547	220	23	biometric	biometric	ADJ
cana-4547	220	24	confidence	confidence	NOUN
cana-4547	220	25	score	score	NOUN
cana-4547	220	26	thus	thus	ADV
cana-4547	220	27	providing	provide	VERB
cana-4547	220	28	a	a	DET
cana-4547	220	29	high	high	ADJ
cana-4547	220	30	reliability	reliability	NOUN
cana-4547	220	31	of	of	ADP
cana-4547	220	32	authentication	authentication	NOUN
cana-4547	220	33	while	while	SCONJ
cana-4547	220	34	minimizing	minimize	VERB
cana-4547	220	35	user	user	NOUN
cana-4547	220	36	convenience	convenience	NOUN
cana-4547	220	37	sets	set	NOUN
cana-4547	220	38	.	.	PUNCT
cana-4547	221	1	table	table	NOUN
cana-4547	221	2	5	5	NUM
cana-4547	221	3	:	:	PUNCT
cana-4547	221	4	false	false	ADJ
cana-4547	221	5	rejection	rejection	NOUN
cana-4547	221	6	rate	rate	NOUN
cana-4547	221	7	(	(	PUNCT
cana-4547	221	8	frr	frr	PROPN
cana-4547	221	9	)	)	PUNCT
cana-4547	221	10	(	(	PUNCT
cana-4547	221	11	%	%	INTJ
cana-4547	221	12	)	)	PUNCT
cana-4547	221	13	(	(	PUNCT
cana-4547	221	14	lower	low	ADJ
cana-4547	221	15	is	be	AUX
cana-4547	221	16	better	well	ADJ
cana-4547	221	17	)	)	PUNCT
cana-4547	221	18	model	model	NOUN
cana-4547	221	19	vggface2	vggface2	NOUN
cana-4547	222	1	voxceleb2	voxceleb2	NOUN
cana-4547	222	2	nist	nist	NOUN
cana-4547	222	3	sd302	sd302	PROPN
cana-4547	222	4	average	average	ADJ
cana-4547	222	5	frr	frr	PROPN
cana-4547	222	6	proposed	propose	VERB
cana-4547	222	7	model	model	NOUN
cana-4547	222	8	1.5	1.5	NUM
cana-4547	222	9	1.3	1.3	NUM
cana-4547	222	10	1.2	1.2	NUM
cana-4547	222	11	1.3	1.3	NUM
cana-4547	222	12	method	method	NOUN
cana-4547	222	13	[	[	X
cana-4547	222	14	3	3	NUM
cana-4547	222	15	]	]	SYM
cana-4547	222	16	3.5	3.5	NUM
cana-4547	222	17	3.2	3.2	NUM
cana-4547	222	18	3.8	3.8	NUM
cana-4547	222	19	3.5	3.5	NUM
cana-4547	222	20	method	method	NOUN
cana-4547	222	21	[	[	X
cana-4547	222	22	8	8	NUM
cana-4547	222	23	]	]	SYM
cana-4547	222	24	4.2	4.2	NUM
cana-4547	222	25	4.5	4.5	NUM
cana-4547	222	26	4.8	4.8	NUM
cana-4547	222	27	4.5	4.5	NUM
cana-4547	222	28	method	method	NOUN
cana-4547	222	29	[	[	X
cana-4547	222	30	25	25	NUM
cana-4547	222	31	]	]	SYM
cana-4547	222	32	5.8	5.8	NUM
cana-4547	222	33	5.6	5.6	NUM
cana-4547	222	34	6.1	6.1	NUM
cana-4547	222	35	5.8	5.8	NUM
cana-4547	222	36	communications	communication	NOUN
cana-4547	222	37	on	on	ADP
cana-4547	222	38	applied	apply	VERB
cana-4547	222	39	nonlinear	nonlinear	ADJ
cana-4547	222	40	analysis	analysis	NOUN
cana-4547	222	41	issn	issn	NOUN
cana-4547	222	42	:	:	PUNCT
cana-4547	222	43	1074	1074	NUM
cana-4547	222	44	-	-	PUNCT
cana-4547	222	45	133x	133x	NUM
cana-4547	222	46	vol	vol	NOUN
cana-4547	222	47	32	32	NUM
cana-4547	223	1	no	no	NOUN
cana-4547	223	2	.	.	PUNCT
cana-4547	224	1	9s	9s	NUM
cana-4547	224	2	(	(	PUNCT
cana-4547	224	3	2025	2025	NUM
cana-4547	224	4	)	)	PUNCT
cana-4547	224	5	2671	2671	NUM
cana-4547	224	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	225	1	in	in	ADP
cana-4547	225	2	contrast	contrast	NOUN
cana-4547	225	3	,	,	PUNCT
cana-4547	225	4	it	it	PRON
cana-4547	225	5	reaches	reach	VERB
cana-4547	225	6	considerably	considerably	ADV
cana-4547	225	7	lower	low	ADJ
cana-4547	225	8	frr	frr	NOUN
cana-4547	225	9	rate	rate	NOUN
cana-4547	225	10	levels	level	NOUN
cana-4547	225	11	,	,	PUNCT
cana-4547	225	12	specifically	specifically	ADV
cana-4547	225	13	of	of	ADP
cana-4547	225	14	1.3	1.3	NUM
cana-4547	225	15	%	%	NOUN
cana-4547	225	16	,	,	PUNCT
cana-4547	225	17	thus	thus	ADV
cana-4547	225	18	causing	cause	VERB
cana-4547	225	19	little	little	ADJ
cana-4547	225	20	inconvenience	inconvenience	NOUN
cana-4547	225	21	to	to	ADP
cana-4547	225	22	genuine	genuine	ADJ
cana-4547	225	23	users	user	NOUN
cana-4547	225	24	while	while	SCONJ
cana-4547	225	25	maintaining	maintain	VERB
cana-4547	225	26	high	high	ADJ
cana-4547	225	27	security	security	NOUN
cana-4547	225	28	sets	set	NOUN
cana-4547	225	29	.	.	PUNCT
cana-4547	226	1	the	the	DET
cana-4547	226	2	evaluation	evaluation	NOUN
cana-4547	226	3	of	of	ADP
cana-4547	226	4	the	the	DET
cana-4547	226	5	computational	computational	ADJ
cana-4547	226	6	efficiency	efficiency	NOUN
cana-4547	226	7	was	be	AUX
cana-4547	226	8	done	do	VERB
cana-4547	226	9	in	in	ADP
cana-4547	226	10	terms	term	NOUN
cana-4547	226	11	of	of	ADP
cana-4547	226	12	average	average	ADJ
cana-4547	226	13	authentication	authentication	NOUN
cana-4547	226	14	latency	latency	NOUN
cana-4547	226	15	per	per	ADP
cana-4547	226	16	request	request	NOUN
cana-4547	226	17	in	in	ADP
cana-4547	226	18	milliseconds	millisecond	NOUN
cana-4547	226	19	(	(	PUNCT
cana-4547	226	20	ms	ms	NOUN
cana-4547	226	21	)	)	PUNCT
cana-4547	226	22	.	.	PUNCT
cana-4547	227	1	the	the	DET
cana-4547	227	2	results	result	NOUN
cana-4547	227	3	are	be	AUX
cana-4547	227	4	contained	contain	VERB
cana-4547	227	5	in	in	ADP
cana-4547	227	6	table	table	NOUN
cana-4547	227	7	6	6	NUM
cana-4547	227	8	.	.	PUNCT
cana-4547	227	9	table	table	NOUN
cana-4547	227	10	6	6	NUM
cana-4547	227	11	shows	show	VERB
cana-4547	227	12	the	the	DET
cana-4547	227	13	efficiency	efficiency	NOUN
cana-4547	227	14	in	in	ADP
cana-4547	227	15	terms	term	NOUN
cana-4547	227	16	of	of	ADP
cana-4547	227	17	realtime	realtime	ADJ
cana-4547	227	18	computation	computation	NOUN
cana-4547	227	19	measured	measure	VERB
cana-4547	227	20	in	in	ADP
cana-4547	227	21	ms	ms	PROPN
cana-4547	227	22	as	as	ADP
cana-4547	227	23	averaged	average	VERB
cana-4547	227	24	authentication	authentication	NOUN
cana-4547	227	25	latency	latency	NOUN
cana-4547	227	26	per	per	ADP
cana-4547	227	27	request	request	NOUN
cana-4547	227	28	across	across	ADP
cana-4547	227	29	face	face	NOUN
cana-4547	227	30	,	,	PUNCT
cana-4547	227	31	voice	voice	NOUN
cana-4547	227	32	,	,	PUNCT
cana-4547	227	33	and	and	CCONJ
cana-4547	227	34	fingerprint	fingerprint	NOUN
cana-4547	227	35	modalities	modality	NOUN
cana-4547	227	36	.	.	PUNCT
cana-4547	228	1	the	the	DET
cana-4547	228	2	proposed	propose	VERB
cana-4547	228	3	model	model	NOUN
cana-4547	228	4	averages	average	NOUN
cana-4547	228	5	processing	processing	NOUN
cana-4547	228	6	time	time	NOUN
cana-4547	228	7	by	by	ADP
cana-4547	228	8	26ms	26ms	ADJ
cana-4547	228	9	,	,	PUNCT
cana-4547	228	10	faster	fast	ADV
cana-4547	228	11	than	than	ADP
cana-4547	228	12	method	method	NOUN
cana-4547	228	13	[	[	X
cana-4547	228	14	3	3	NUM
cana-4547	228	15	]	]	PUNCT
cana-4547	228	16	(	(	PUNCT
cana-4547	228	17	37ms	37m	NOUN
cana-4547	228	18	)	)	PUNCT
cana-4547	228	19	,	,	PUNCT
cana-4547	228	20	method	method	NOUN
cana-4547	228	21	[	[	X
cana-4547	228	22	8	8	NUM
cana-4547	228	23	]	]	PUNCT
cana-4547	228	24	(	(	PUNCT
cana-4547	228	25	42ms	42ms	NOUN
cana-4547	228	26	)	)	PUNCT
cana-4547	228	27	,	,	PUNCT
cana-4547	228	28	and	and	CCONJ
cana-4547	228	29	method	method	NOUN
cana-4547	228	30	[	[	X
cana-4547	228	31	25	25	NUM
cana-4547	228	32	]	]	PUNCT
cana-4547	228	33	(	(	PUNCT
cana-4547	228	34	55ms	55ms	NOUN
cana-4547	228	35	)	)	PUNCT
cana-4547	228	36	.	.	PUNCT
cana-4547	229	1	such	such	ADJ
cana-4547	229	2	short	short	ADJ
cana-4547	229	3	latency	latency	NOUN
cana-4547	229	4	of	of	ADP
cana-4547	229	5	biometric	biometric	ADJ
cana-4547	229	6	fusion	fusion	NOUN
cana-4547	229	7	and	and	CCONJ
cana-4547	229	8	decision	decision	NOUN
cana-4547	229	9	making	making	NOUN
cana-4547	229	10	is	be	AUX
cana-4547	229	11	enabled	enable	VERB
cana-4547	229	12	with	with	ADP
cana-4547	229	13	the	the	DET
cana-4547	229	14	transformer	transformer	NOUN
cana-4547	229	15	based	base	VERB
cana-4547	229	16	architecture	architecture	NOUN
cana-4547	229	17	of	of	ADP
cana-4547	229	18	amfft	amfft	PROPN
cana-4547	229	19	,	,	PUNCT
cana-4547	229	20	along	along	ADP
cana-4547	229	21	with	with	ADP
cana-4547	229	22	high	high	ADJ
cana-4547	229	23	efficiency	efficiency	NOUN
cana-4547	229	24	parallel	parallel	NOUN
cana-4547	229	25	processing	processing	NOUN
cana-4547	229	26	through	through	ADP
cana-4547	229	27	multi	multi	ADJ
cana-4547	229	28	-	-	ADJ
cana-4547	229	29	head	head	ADJ
cana-4547	229	30	self	self	NOUN
cana-4547	229	31	-	-	PUNCT
cana-4547	229	32	attention	attention	NOUN
cana-4547	229	33	sets	set	NOUN
cana-4547	229	34	.	.	PUNCT
cana-4547	230	1	it	it	PRON
cana-4547	230	2	was	be	AUX
cana-4547	230	3	contrasted	contrast	VERB
cana-4547	230	4	to	to	ADP
cana-4547	230	5	typical	typical	ADJ
cana-4547	230	6	models	model	NOUN
cana-4547	230	7	which	which	PRON
cana-4547	230	8	are	be	AUX
cana-4547	230	9	bottlenecked	bottleneck	VERB
cana-4547	230	10	by	by	ADP
cana-4547	230	11	parallelized	parallelize	VERB
cana-4547	230	12	feature	feature	NOUN
cana-4547	230	13	extraction	extraction	NOUN
cana-4547	230	14	,	,	PUNCT
cana-4547	230	15	fusion	fusion	NOUN
cana-4547	230	16	,	,	PUNCT
cana-4547	230	17	and	and	CCONJ
cana-4547	230	18	decision	decision	NOUN
cana-4547	230	19	making	make	VERB
cana-4547	230	20	process	process	NOUN
cana-4547	230	21	.	.	PUNCT
cana-4547	231	1	under	under	ADP
cana-4547	231	2	such	such	ADJ
cana-4547	231	3	approaches	approach	NOUN
cana-4547	231	4	,	,	PUNCT
cana-4547	231	5	feature	feature	NOUN
cana-4547	231	6	extraction	extraction	NOUN
cana-4547	231	7	,	,	PUNCT
cana-4547	231	8	fusion	fusion	NOUN
cana-4547	231	9	,	,	PUNCT
cana-4547	231	10	and	and	CCONJ
cana-4547	231	11	decision	decision	NOUN
cana-4547	231	12	-	-	PUNCT
cana-4547	231	13	making	making	NOUN
cana-4547	231	14	are	be	AUX
cana-4547	231	15	all	all	ADV
cana-4547	231	16	lined	line	VERB
cana-4547	231	17	up	up	ADP
cana-4547	231	18	,	,	PUNCT
cana-4547	231	19	introducing	introduce	VERB
cana-4547	231	20	a	a	DET
cana-4547	231	21	bottleneck	bottleneck	NOUN
cana-4547	231	22	effect	effect	NOUN
cana-4547	231	23	and	and	CCONJ
cana-4547	231	24	extending	extend	VERB
cana-4547	231	25	delays	delay	NOUN
cana-4547	231	26	.	.	PUNCT
cana-4547	232	1	real	real	ADJ
cana-4547	232	2	world	world	NOUN
cana-4547	232	3	deployment	deployment	NOUN
cana-4547	232	4	,	,	PUNCT
cana-4547	232	5	particularly	particularly	ADV
cana-4547	232	6	in	in	ADP
cana-4547	232	7	security	security	NOUN
cana-4547	232	8	-	-	PUNCT
cana-4547	232	9	critical	critical	ADJ
cana-4547	232	10	applications	application	NOUN
cana-4547	232	11	such	such	ADJ
cana-4547	232	12	as	as	ADP
cana-4547	232	13	financial	financial	ADJ
cana-4547	232	14	transactions	transaction	NOUN
cana-4547	232	15	,	,	PUNCT
cana-4547	232	16	border	border	NOUN
cana-4547	232	17	control	control	NOUN
cana-4547	232	18	,	,	PUNCT
cana-4547	232	19	or	or	CCONJ
cana-4547	232	20	enterprise	enterprise	NOUN
cana-4547	232	21	access	access	NOUN
cana-4547	232	22	management	management	NOUN
cana-4547	232	23	,	,	PUNCT
cana-4547	232	24	where	where	SCONJ
cana-4547	232	25	real	real	ADJ
cana-4547	232	26	-	-	PUNCT
cana-4547	232	27	time	time	NOUN
cana-4547	232	28	authentication	authentication	NOUN
cana-4547	232	29	is	be	AUX
cana-4547	232	30	essential	essential	ADJ
cana-4547	232	31	in	in	ADP
cana-4547	232	32	its	its	PRON
cana-4547	232	33	process	process	NOUN
cana-4547	232	34	,	,	PUNCT
cana-4547	232	35	makes	make	VERB
cana-4547	232	36	the	the	DET
cana-4547	232	37	proposed	propose	VERB
cana-4547	232	38	model	model	NOUN
cana-4547	232	39	highly	highly	ADV
cana-4547	232	40	suitable	suitable	ADJ
cana-4547	232	41	for	for	ADP
cana-4547	232	42	use	use	NOUN
cana-4547	232	43	in	in	ADP
cana-4547	232	44	process	process	NOUN
cana-4547	232	45	.	.	PUNCT
cana-4547	233	1	table	table	NOUN
cana-4547	233	2	6	6	NUM
cana-4547	233	3	:	:	PUNCT
cana-4547	233	4	computational	computational	ADJ
cana-4547	233	5	latency	latency	NOUN
cana-4547	233	6	(	(	PUNCT
cana-4547	233	7	ms	ms	PROPN
cana-4547	233	8	)	)	PUNCT
cana-4547	233	9	(	(	PUNCT
cana-4547	233	10	lower	low	ADJ
cana-4547	233	11	is	be	AUX
cana-4547	233	12	better	well	ADJ
cana-4547	233	13	)	)	PUNCT
cana-4547	233	14	model	model	NOUN
cana-4547	233	15	face	face	NOUN
cana-4547	233	16	processing	processing	NOUN
cana-4547	233	17	voice	voice	NOUN
cana-4547	233	18	processing	processing	NOUN
cana-4547	233	19	fingerprint	fingerprint	NOUN
cana-4547	233	20	processing	processing	NOUN
cana-4547	233	21	average	average	ADJ
cana-4547	233	22	latency	latency	NOUN
cana-4547	233	23	proposed	propose	VERB
cana-4547	233	24	model	model	NOUN
cana-4547	233	25	23ms	23ms	PROPN
cana-4547	233	26	28ms	28ms	PROPN
cana-4547	233	27	25ms	25ms	PROPN
cana-4547	233	28	26ms	26ms	NOUN
cana-4547	233	29	method	method	NOUN
cana-4547	233	30	[	[	X
cana-4547	233	31	3	3	NUM
cana-4547	233	32	]	]	X
cana-4547	233	33	35ms	35ms	NUM
cana-4547	233	34	38ms	38ms	ADJ
cana-4547	233	35	37ms	37ms	ADJ
cana-4547	233	36	37ms	37ms	ADJ
cana-4547	233	37	method	method	NOUN
cana-4547	233	38	[	[	X
cana-4547	233	39	8	8	NUM
cana-4547	233	40	]	]	X
cana-4547	233	41	42ms	42ms	ADJ
cana-4547	233	42	44ms	44ms	ADJ
cana-4547	233	43	41ms	41ms	ADJ
cana-4547	233	44	42ms	42ms	ADJ
cana-4547	233	45	method	method	NOUN
cana-4547	233	46	[	[	X
cana-4547	233	47	25	25	NUM
cana-4547	233	48	]	]	X
cana-4547	233	49	55ms	55ms	ADJ
cana-4547	233	50	58ms	58ms	ADJ
cana-4547	233	51	52ms	52ms	ADJ
cana-4547	233	52	55ms	55ms	ADJ
cana-4547	233	53	proposed	propose	VERB
cana-4547	233	54	model	model	NOUN
cana-4547	233	55	achieved	achieve	VERB
cana-4547	233	56	average	average	ADJ
cana-4547	233	57	inference	inference	NOUN
cana-4547	233	58	time	time	NOUN
cana-4547	233	59	of	of	ADP
cana-4547	233	60	26ms	26ms	NUM
cana-4547	233	61	.	.	PUNCT
cana-4547	234	1	hence	hence	ADV
cana-4547	234	2	,	,	PUNCT
cana-4547	234	3	it	it	PRON
cana-4547	234	4	outperforms	outperform	VERB
cana-4547	234	5	existing	exist	VERB
cana-4547	234	6	methods	method	NOUN
cana-4547	234	7	and	and	CCONJ
cana-4547	234	8	qualifies	qualify	VERB
cana-4547	234	9	real	real	ADJ
cana-4547	234	10	-	-	PUNCT
cana-4547	234	11	time	time	NOUN
cana-4547	234	12	authentication	authentication	NOUN
cana-4547	234	13	applications	application	NOUN
cana-4547	234	14	.	.	PUNCT
cana-4547	235	1	experimental	experimental	ADJ
cana-4547	235	2	findings	finding	NOUN
cana-4547	235	3	validate	validate	VERB
cana-4547	235	4	the	the	DET
cana-4547	235	5	proposed	propose	VERB
cana-4547	235	6	framework	framework	NOUN
cana-4547	235	7	within	within	ADP
cana-4547	235	8	biometric	biometric	ADJ
cana-4547	235	9	security	security	NOUN
cana-4547	235	10	systems	system	NOUN
cana-4547	235	11	,	,	PUNCT
cana-4547	235	12	which	which	PRON
cana-4547	235	13	show	show	VERB
cana-4547	235	14	effectiveness	effectiveness	NOUN
cana-4547	235	15	in	in	ADP
cana-4547	235	16	authenticating	authenticate	VERB
cana-4547	235	17	high	high	ADJ
cana-4547	235	18	accuracy	accuracy	NOUN
cana-4547	235	19	,	,	PUNCT
cana-4547	235	20	resilient	resilient	ADJ
cana-4547	235	21	against	against	ADP
cana-4547	235	22	adversarial	adversarial	ADJ
cana-4547	235	23	and	and	CCONJ
cana-4547	235	24	spoofing	spoof	VERB
cana-4547	235	25	attacks	attack	NOUN
cana-4547	235	26	,	,	PUNCT
cana-4547	235	27	and	and	CCONJ
cana-4547	235	28	low	low	ADJ
cana-4547	235	29	false	false	ADJ
cana-4547	235	30	repeater	repeater	NOUN
cana-4547	235	31	rates	rate	NOUN
cana-4547	235	32	as	as	ADV
cana-4547	235	33	well	well	ADV
cana-4547	235	34	as	as	ADP
cana-4547	235	35	real	real	ADJ
cana-4547	235	36	-	-	PUNCT
cana-4547	235	37	time	time	NOUN
cana-4547	235	38	computational	computational	ADJ
cana-4547	235	39	efficiency	efficiency	NOUN
cana-4547	235	40	.	.	PUNCT
cana-4547	236	1	the	the	DET
cana-4547	236	2	entire	entire	ADJ
cana-4547	236	3	process	process	NOUN
cana-4547	236	4	in	in	ADP
cana-4547	236	5	biometric	biometric	ADJ
cana-4547	236	6	security	security	NOUN
cana-4547	236	7	using	use	VERB
cana-4547	236	8	amfft	amfft	NOUN
cana-4547	236	9	for	for	ADP
cana-4547	236	10	adaptive	adaptive	ADJ
cana-4547	236	11	fusion	fusion	NOUN
cana-4547	236	12	,	,	PUNCT
cana-4547	236	13	dpat	dpat	NOUN
cana-4547	236	14	for	for	ADP
cana-4547	236	15	adversarial	adversarial	ADJ
cana-4547	236	16	robustness	robustness	NOUN
cana-4547	236	17	,	,	PUNCT
cana-4547	236	18	sma	sma	NOUN
cana-4547	236	19	-	-	PUNCT
cana-4547	236	20	transformer	transformer	NOUN
cana-4547	236	21	for	for	ADP
cana-4547	236	22	deepfake	deepfake	NOUN
cana-4547	236	23	detection	detection	NOUN
cana-4547	236	24	,	,	PUNCT
cana-4547	236	25	ezv	ezv	NOUN
cana-4547	236	26	-	-	PUNCT
cana-4547	236	27	model	model	NOUN
cana-4547	236	28	for	for	ADP
cana-4547	236	29	continuous	continuous	ADJ
cana-4547	236	30	authentication	authentication	NOUN
cana-4547	236	31	,	,	PUNCT
cana-4547	236	32	and	and	CCONJ
cana-4547	236	33	rbb	rbb	PROPN
cana-4547	236	34	-	-	PUNCT
cana-4547	236	35	sec	sec	PROPN
cana-4547	236	36	for	for	ADP
cana-4547	236	37	behavioral	behavioral	ADJ
cana-4547	236	38	security	security	NOUN
cana-4547	236	39	sets	set	VERB
cana-4547	236	40	a	a	DET
cana-4547	236	41	new	new	ADJ
cana-4547	236	42	benchmark	benchmark	NOUN
cana-4547	236	43	and	and	CCONJ
cana-4547	236	44	far	far	ADV
cana-4547	236	45	outperforms	outperform	NOUN
cana-4547	236	46	stateof	stateof	ADJ
cana-4547	236	47	-	-	PUNCT
cana-4547	236	48	the	the	DET
cana-4547	236	49	-	-	PUNCT
cana-4547	236	50	art	art	NOUN
cana-4547	236	51	methods	method	NOUN
cana-4547	236	52	across	across	ADP
cana-4547	236	53	all	all	DET
cana-4547	236	54	metrics	metric	NOUN
cana-4547	236	55	of	of	ADP
cana-4547	236	56	evaluation	evaluation	NOUN
cana-4547	236	57	mentioned	mention	VERB
cana-4547	236	58	here	here	ADV
cana-4547	236	59	.	.	PUNCT
cana-4547	237	1	next	next	ADV
cana-4547	237	2	,	,	PUNCT
cana-4547	237	3	we	we	PRON
cana-4547	237	4	discuss	discuss	VERB
cana-4547	237	5	an	an	DET
cana-4547	237	6	iterative	iterative	NOUN
cana-4547	237	7	validation	validation	NOUN
cana-4547	237	8	use	use	NOUN
cana-4547	237	9	case	case	NOUN
cana-4547	237	10	for	for	ADP
cana-4547	237	11	the	the	DET
cana-4547	237	12	proposed	propose	VERB
cana-4547	237	13	model	model	NOUN
cana-4547	237	14	which	which	PRON
cana-4547	237	15	will	will	AUX
cana-4547	237	16	assist	assist	VERB
cana-4547	237	17	the	the	DET
cana-4547	237	18	reader	reader	NOUN
cana-4547	237	19	for	for	ADP
cana-4547	237	20	better	well	ADJ
cana-4547	237	21	understanding	understanding	NOUN
cana-4547	237	22	of	of	ADP
cana-4547	237	23	the	the	DET
cana-4547	237	24	entire	entire	ADJ
cana-4547	237	25	process	process	NOUN
cana-4547	237	26	.	.	PUNCT
cana-4547	238	1	4.1	4.1	NUM
cana-4547	238	2	validation	validation	NOUN
cana-4547	238	3	using	use	VERB
cana-4547	238	4	an	an	DET
cana-4547	238	5	iterative	iterative	ADJ
cana-4547	238	6	practical	practical	ADJ
cana-4547	238	7	use	use	NOUN
cana-4547	238	8	case	case	NOUN
cana-4547	238	9	scenario	scenario	NOUN
cana-4547	238	10	analysis	analysis	NOUN
cana-4547	238	11	a	a	DET
cana-4547	238	12	real	real	ADJ
cana-4547	238	13	heavens	heaven	NOUN
cana-4547	238	14	security	security	NOUN
cana-4547	238	15	-	-	PUNCT
cana-4547	238	16	sensitive	sensitive	ADJ
cana-4547	238	17	case	case	NOUN
cana-4547	238	18	is	be	AUX
cana-4547	238	19	used	use	VERB
cana-4547	238	20	to	to	PART
cana-4547	238	21	evaluate	evaluate	VERB
cana-4547	238	22	the	the	DET
cana-4547	238	23	proposed	propose	VERB
cana-4547	238	24	biometric	biometric	ADJ
cana-4547	238	25	security	security	NOUN
cana-4547	238	26	framework	framework	NOUN
cana-4547	238	27	:	:	PUNCT
cana-4547	238	28	fault	fault	NOUN
cana-4547	238	29	-	-	PUNCT
cana-4547	238	30	tolerant	tolerant	ADJ
cana-4547	238	31	access	access	NOUN
cana-4547	238	32	control	control	NOUN
cana-4547	238	33	at	at	ADP
cana-4547	238	34	the	the	DET
cana-4547	238	35	executive	executive	ADJ
cana-4547	238	36	boardroom	boardroom	NOUN
cana-4547	238	37	of	of	ADP
cana-4547	238	38	a	a	DET
cana-4547	238	39	financial	financial	ADJ
cana-4547	238	40	institution	institution	NOUN
cana-4547	238	41	.	.	PUNCT
cana-4547	239	1	the	the	DET
cana-4547	239	2	biometric	biometric	ADJ
cana-4547	239	3	authentication	authentication	NOUN
cana-4547	239	4	system	system	NOUN
cana-4547	239	5	needs	need	VERB
cana-4547	239	6	to	to	PART
cana-4547	239	7	authenticate	authenticate	VERB
cana-4547	239	8	personnel	personnel	NOUN
cana-4547	239	9	authorized	authorize	VERB
cana-4547	239	10	by	by	ADP
cana-4547	239	11	multi	multi	ADJ
cana-4547	239	12	-	-	ADJ
cana-4547	239	13	modal	modal	ADJ
cana-4547	239	14	means	mean	NOUN
cana-4547	239	15	through	through	ADP
cana-4547	239	16	facebiometrics	facebiometric	NOUN
cana-4547	239	17	,	,	PUNCT
cana-4547	239	18	voice	voice	NOUN
cana-4547	239	19	,	,	PUNCT
cana-4547	239	20	and	and	CCONJ
cana-4547	239	21	fingerprints	fingerprint	NOUN
cana-4547	239	22	biometrics	biometric	NOUN
cana-4547	239	23	;	;	PUNCT
cana-4547	239	24	spoof	spoof	ADJ
cana-4547	239	25	and	and	CCONJ
cana-4547	239	26	adversarial	adversarial	ADJ
cana-4547	239	27	attack	attack	NOUN
cana-4547	239	28	resilient	resilient	ADJ
cana-4547	239	29	;	;	PUNCT
cana-4547	239	30	accomplished	accomplished	ADJ
cana-4547	239	31	communications	communication	NOUN
cana-4547	239	32	on	on	ADP
cana-4547	239	33	applied	apply	VERB
cana-4547	239	34	nonlinear	nonlinear	ADJ
cana-4547	239	35	analysis	analysis	NOUN
cana-4547	239	36	issn	issn	NOUN
cana-4547	239	37	:	:	PUNCT
cana-4547	239	38	1074	1074	NUM
cana-4547	239	39	-	-	PUNCT
cana-4547	239	40	133x	133x	NUM
cana-4547	239	41	vol	vol	NOUN
cana-4547	239	42	32	32	NUM
cana-4547	239	43	no	no	NOUN
cana-4547	239	44	.	.	PUNCT
cana-4547	240	1	9s	9s	NUM
cana-4547	240	2	(	(	PUNCT
cana-4547	240	3	2025	2025	NUM
cana-4547	240	4	)	)	PUNCT
cana-4547	240	5	2672	2672	NUM
cana-4547	240	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	240	7	continuous	continuous	ADJ
cana-4547	240	8	zero	zero	NUM
cana-4547	240	9	-	-	PUNCT
cana-4547	240	10	trust	trust	NOUN
cana-4547	240	11	authentication	authentication	NOUN
cana-4547	240	12	to	to	PART
cana-4547	240	13	relieve	relieve	VERB
cana-4547	240	14	unauthorized	unauthorized	ADJ
cana-4547	240	15	access	access	NOUN
cana-4547	240	16	attempts	attempt	NOUN
cana-4547	240	17	.	.	PUNCT
cana-4547	241	1	the	the	DET
cana-4547	241	2	use	use	NOUN
cana-4547	241	3	case	case	NOUN
cana-4547	241	4	involves	involve	VERB
cana-4547	241	5	the	the	DET
cana-4547	241	6	user	user	NOUN
cana-4547	241	7	requesting	request	VERB
cana-4547	241	8	authentication	authentication	NOUN
cana-4547	241	9	in	in	ADP
cana-4547	241	10	normal	normal	ADJ
cana-4547	241	11	conditions	condition	NOUN
cana-4547	241	12	,	,	PUNCT
cana-4547	241	13	an	an	DET
cana-4547	241	14	adversary	adversary	NOUN
cana-4547	241	15	creating	create	VERB
cana-4547	241	16	deepfake	deepfake	NOUN
cana-4547	241	17	face	face	NOUN
cana-4547	241	18	and	and	CCONJ
cana-4547	241	19	synthetic	synthetic	ADJ
cana-4547	241	20	voice	voice	NOUN
cana-4547	241	21	attacks	attack	NOUN
cana-4547	241	22	,	,	PUNCT
cana-4547	241	23	and	and	CCONJ
cana-4547	241	24	hijacking	hijack	VERB
cana-4547	241	25	a	a	DET
cana-4547	241	26	session	session	NOUN
cana-4547	241	27	through	through	ADP
cana-4547	241	28	unauthorized	unauthorized	ADJ
cana-4547	241	29	behavioral	behavioral	ADJ
cana-4547	241	30	mimicry	mimicry	NOUN
cana-4547	241	31	by	by	ADP
cana-4547	241	32	a	a	DET
cana-4547	241	33	malicious	malicious	ADJ
cana-4547	241	34	insider	insider	NOUN
cana-4547	241	35	.	.	PUNCT
cana-4547	242	1	the	the	DET
cana-4547	242	2	inputs	input	NOUN
cana-4547	242	3	would	would	AUX
cana-4547	242	4	be	be	AUX
cana-4547	242	5	processed	process	VERB
cana-4547	242	6	,	,	PUNCT
cana-4547	242	7	adversarial	adversarial	ADJ
cana-4547	242	8	defenses	defense	NOUN
cana-4547	242	9	would	would	AUX
cana-4547	242	10	apply	apply	VERB
cana-4547	242	11	,	,	PUNCT
cana-4547	242	12	spoof	spoof	ADJ
cana-4547	242	13	detection	detection	NOUN
cana-4547	242	14	would	would	AUX
cana-4547	242	15	occur	occur	VERB
cana-4547	242	16	,	,	PUNCT
cana-4547	242	17	risk	risk	NOUN
cana-4547	242	18	factors	factor	NOUN
cana-4547	242	19	would	would	AUX
cana-4547	242	20	be	be	AUX
cana-4547	242	21	assessed	assess	VERB
cana-4547	242	22	,	,	PUNCT
cana-4547	242	23	and	and	CCONJ
cana-4547	242	24	final	final	ADJ
cana-4547	242	25	approval	approval	NOUN
cana-4547	242	26	would	would	AUX
cana-4547	242	27	be	be	AUX
cana-4547	242	28	on	on	ADP
cana-4547	242	29	authentications	authentication	NOUN
cana-4547	242	30	.	.	PUNCT
cana-4547	243	1	to	to	PART
cana-4547	243	2	guarantee	guarantee	VERB
cana-4547	243	3	robustness	robustness	NOUN
cana-4547	243	4	and	and	CCONJ
cana-4547	243	5	reliability	reliability	NOUN
cana-4547	243	6	to	to	ADP
cana-4547	243	7	the	the	DET
cana-4547	243	8	adaptive	adaptive	ADJ
cana-4547	243	9	multi	multi	ADJ
cana-4547	243	10	-	-	ADJ
cana-4547	243	11	modal	modal	ADJ
cana-4547	243	12	biometric	biometric	ADJ
cana-4547	243	13	security	security	NOUN
cana-4547	243	14	framework	framework	NOUN
cana-4547	243	15	proposed	propose	VERB
cana-4547	243	16	,	,	PUNCT
cana-4547	243	17	validation	validation	NOUN
cana-4547	243	18	was	be	AUX
cana-4547	243	19	conducted	conduct	VERB
cana-4547	243	20	through	through	ADP
cana-4547	243	21	established	establish	VERB
cana-4547	243	22	biometric	biometric	ADJ
cana-4547	243	23	security	security	NOUN
cana-4547	243	24	benchmarks	benchmark	NOUN
cana-4547	243	25	and	and	CCONJ
cana-4547	243	26	comparative	comparative	ADJ
cana-4547	243	27	performance	performance	NOUN
cana-4547	243	28	analysis	analysis	NOUN
cana-4547	243	29	methodologies	methodology	NOUN
cana-4547	243	30	.	.	PUNCT
cana-4547	244	1	validation	validation	NOUN
cana-4547	244	2	included	include	VERB
cana-4547	244	3	the	the	DET
cana-4547	244	4	use	use	NOUN
cana-4547	244	5	of	of	ADP
cana-4547	244	6	the	the	DET
cana-4547	244	7	mobio	mobio	PROPN
cana-4547	244	8	database	database	NOUN
cana-4547	244	9	,	,	PUNCT
cana-4547	244	10	which	which	PRON
cana-4547	244	11	includes	include	VERB
cana-4547	244	12	both	both	DET
cana-4547	244	13	face	face	NOUN
cana-4547	244	14	and	and	CCONJ
cana-4547	244	15	voice	voice	NOUN
cana-4547	244	16	biometric	biometric	ADJ
cana-4547	244	17	samples	sample	NOUN
cana-4547	244	18	from	from	ADP
cana-4547	244	19	150	150	NUM
cana-4547	244	20	persons	person	NOUN
cana-4547	244	21	collected	collect	VERB
cana-4547	244	22	in	in	ADP
cana-4547	244	23	real	real	ADJ
cana-4547	244	24	-	-	PUNCT
cana-4547	244	25	world	world	NOUN
cana-4547	244	26	mobile	mobile	ADJ
cana-4547	244	27	scenarios	scenario	NOUN
cana-4547	244	28	,	,	PUNCT
cana-4547	244	29	allowing	allow	VERB
cana-4547	244	30	crossdevice	crossdevice	NOUN
cana-4547	244	31	and	and	CCONJ
cana-4547	244	32	cross	cross	ADJ
cana-4547	244	33	-	-	ADJ
cana-4547	244	34	condition	condition	ADJ
cana-4547	244	35	testing	testing	NOUN
cana-4547	244	36	.	.	PUNCT
cana-4547	245	1	validation	validation	NOUN
cana-4547	245	2	would	would	AUX
cana-4547	245	3	also	also	ADV
cana-4547	245	4	be	be	AUX
cana-4547	245	5	complemented	complement	VERB
cana-4547	245	6	with	with	ADP
cana-4547	245	7	the	the	DET
cana-4547	245	8	msu	msu	PROPN
cana-4547	245	9	mfsd	mfsd	NOUN
cana-4547	245	10	dataset	dataset	VERB
cana-4547	245	11	as	as	ADP
cana-4547	245	12	part	part	NOUN
cana-4547	245	13	of	of	ADP
cana-4547	245	14	the	the	DET
cana-4547	245	15	evaluation	evaluation	NOUN
cana-4547	245	16	against	against	ADP
cana-4547	245	17	the	the	DET
cana-4547	245	18	spoof	spoof	ADJ
cana-4547	245	19	detection	detection	NOUN
cana-4547	245	20	method	method	NOUN
cana-4547	245	21	as	as	SCONJ
cana-4547	245	22	it	it	PRON
cana-4547	245	23	consists	consist	VERB
cana-4547	245	24	of	of	ADP
cana-4547	245	25	high	high	ADJ
cana-4547	245	26	-	-	PUNCT
cana-4547	245	27	resolution	resolution	NOUN
cana-4547	245	28	print	print	NOUN
cana-4547	245	29	attacks	attack	NOUN
cana-4547	245	30	,	,	PUNCT
cana-4547	245	31	replay	replay	NOUN
cana-4547	245	32	attacks	attack	NOUN
cana-4547	245	33	,	,	PUNCT
cana-4547	245	34	and	and	CCONJ
cana-4547	245	35	deepfake	deepfake	VERB
cana-4547	245	36	videos	video	NOUN
cana-4547	245	37	on	on	ADP
cana-4547	245	38	its	its	PRON
cana-4547	245	39	dataset	dataset	NOUN
cana-4547	245	40	,	,	PUNCT
cana-4547	245	41	confirming	confirm	VERB
cana-4547	245	42	that	that	SCONJ
cana-4547	245	43	sma	sma	NOUN
cana-4547	245	44	-	-	PUNCT
cana-4547	245	45	transformer	transformer	NOUN
cana-4547	245	46	is	be	AUX
cana-4547	245	47	effective	effective	ADJ
cana-4547	245	48	to	to	PART
cana-4547	245	49	detect	detect	VERB
cana-4547	245	50	such	such	ADJ
cana-4547	245	51	synthetic	synthetic	ADJ
cana-4547	245	52	biometric	biometric	ADJ
cana-4547	245	53	fraud	fraud	NOUN
cana-4547	245	54	.	.	PUNCT
cana-4547	246	1	live	live	ADJ
cana-4547	246	2	detection	detection	NOUN
cana-4547	246	3	of	of	ADP
cana-4547	246	4	fingerprints	fingerprint	NOUN
cana-4547	246	5	employed	employ	VERB
cana-4547	246	6	with	with	ADP
cana-4547	246	7	the	the	DET
cana-4547	246	8	livdet	livdet	NOUN
cana-4547	246	9	2021	2021	NUM
cana-4547	246	10	fingerprint	fingerprint	NOUN
cana-4547	246	11	dataset	dataset	VERB
cana-4547	246	12	targeted	target	VERB
cana-4547	246	13	fingerprint	fingerprint	NOUN
cana-4547	246	14	spoof	spoof	ADJ
cana-4547	246	15	detection	detection	NOUN
cana-4547	246	16	,	,	PUNCT
cana-4547	246	17	comprising	comprise	VERB
cana-4547	246	18	actual	actual	ADJ
cana-4547	246	19	and	and	CCONJ
cana-4547	246	20	artificial	artificial	ADJ
cana-4547	246	21	fingerprints	fingerprint	NOUN
cana-4547	246	22	samples	sample	NOUN
cana-4547	246	23	obtained	obtain	VERB
cana-4547	246	24	from	from	ADP
cana-4547	246	25	diverse	diverse	ADJ
cana-4547	246	26	materials	material	NOUN
cana-4547	246	27	,	,	PUNCT
cana-4547	246	28	including	include	VERB
cana-4547	246	29	gelatin	gelatin	NOUN
cana-4547	246	30	,	,	PUNCT
cana-4547	246	31	silicone	silicone	NOUN
cana-4547	246	32	,	,	PUNCT
cana-4547	246	33	and	and	CCONJ
cana-4547	246	34	ecoflex	ecoflex	NOUN
cana-4547	246	35	.	.	PUNCT
cana-4547	247	1	the	the	DET
cana-4547	247	2	method	method	NOUN
cana-4547	247	3	performs	perform	VERB
cana-4547	247	4	comparative	comparative	ADJ
cana-4547	247	5	assessment	assessment	NOUN
cana-4547	247	6	using	use	VERB
cana-4547	247	7	standard	standard	ADJ
cana-4547	247	8	biometric	biometric	ADJ
cana-4547	247	9	verification	verification	NOUN
cana-4547	247	10	metrics	metric	NOUN
cana-4547	247	11	,	,	PUNCT
cana-4547	247	12	such	such	ADJ
cana-4547	247	13	as	as	ADP
cana-4547	247	14	equal	equal	ADJ
cana-4547	247	15	error	error	NOUN
cana-4547	247	16	rate	rate	NOUN
cana-4547	247	17	(	(	PUNCT
cana-4547	247	18	eer	eer	PROPN
cana-4547	247	19	)	)	PUNCT
cana-4547	247	20	,	,	PUNCT
cana-4547	247	21	true	true	ADJ
cana-4547	247	22	positive	positive	ADJ
cana-4547	247	23	rate	rate	NOUN
cana-4547	247	24	(	(	PUNCT
cana-4547	247	25	tpr	tpr	NOUN
cana-4547	247	26	)	)	PUNCT
cana-4547	247	27	,	,	PUNCT
cana-4547	247	28	false	false	ADJ
cana-4547	247	29	acceptance	acceptance	NOUN
cana-4547	247	30	rate	rate	NOUN
cana-4547	247	31	(	(	PUNCT
cana-4547	247	32	far	far	ADV
cana-4547	247	33	)	)	PUNCT
cana-4547	247	34	,	,	PUNCT
cana-4547	247	35	and	and	CCONJ
cana-4547	247	36	false	false	ADJ
cana-4547	247	37	rejection	rejection	NOUN
cana-4547	247	38	rate	rate	NOUN
cana-4547	247	39	(	(	PUNCT
cana-4547	247	40	frr	frr	PROPN
cana-4547	247	41	)	)	PUNCT
cana-4547	247	42	,	,	PUNCT
cana-4547	247	43	thereby	thereby	ADV
cana-4547	247	44	aligning	align	VERB
cana-4547	247	45	the	the	DET
cana-4547	247	46	evaluation	evaluation	NOUN
cana-4547	247	47	with	with	ADP
cana-4547	247	48	widely	widely	ADV
cana-4547	247	49	recognized	recognize	VERB
cana-4547	247	50	security	security	NOUN
cana-4547	247	51	industry	industry	NOUN
cana-4547	247	52	benchmarks	benchmark	NOUN
cana-4547	247	53	.	.	PUNCT
cana-4547	248	1	additionally	additionally	ADV
cana-4547	248	2	,	,	PUNCT
cana-4547	248	3	the	the	DET
cana-4547	248	4	method	method	NOUN
cana-4547	248	5	also	also	ADV
cana-4547	248	6	embraced	embrace	VERB
cana-4547	248	7	the	the	DET
cana-4547	248	8	nist	nist	NOUN
cana-4547	248	9	biometric	biometric	ADJ
cana-4547	248	10	grand	grand	ADJ
cana-4547	248	11	challenge	challenge	NOUN
cana-4547	248	12	evaluation	evaluation	NOUN
cana-4547	248	13	methodology	methodology	NOUN
cana-4547	248	14	to	to	PART
cana-4547	248	15	test	test	VERB
cana-4547	248	16	the	the	DET
cana-4547	248	17	adversarial	adversarial	ADJ
cana-4547	248	18	robustness	robustness	NOUN
cana-4547	248	19	by	by	ADP
cana-4547	248	20	simulating	simulate	VERB
cana-4547	248	21	real	real	ADJ
cana-4547	248	22	-	-	PUNCT
cana-4547	248	23	world	world	NOUN
cana-4547	248	24	biometric	biometric	ADJ
cana-4547	248	25	threats	threat	NOUN
cana-4547	248	26	,	,	PUNCT
cana-4547	248	27	including	include	VERB
cana-4547	248	28	adversarial	adversarial	ADJ
cana-4547	248	29	perturbations	perturbation	NOUN
cana-4547	248	30	generated	generate	VERB
cana-4547	248	31	by	by	ADP
cana-4547	248	32	ai	ai	INTJ
cana-4547	248	33	and	and	CCONJ
cana-4547	248	34	such	such	ADJ
cana-4547	248	35	attacks	attack	NOUN
cana-4547	248	36	against	against	ADP
cana-4547	248	37	synthesized	synthesize	VERB
cana-4547	248	38	biometrics	biometric	NOUN
cana-4547	248	39	using	use	VERB
cana-4547	248	40	gan	gan	NOUN
cana-4547	248	41	.	.	PUNCT
cana-4547	249	1	under	under	ADP
cana-4547	249	2	these	these	DET
cana-4547	249	3	high	high	ADJ
cana-4547	249	4	-	-	PUNCT
cana-4547	249	5	quality	quality	NOUN
cana-4547	249	6	validation	validation	NOUN
cana-4547	249	7	and	and	CCONJ
cana-4547	249	8	benchmarking	benchmarke	VERB
cana-4547	249	9	methodologies	methodology	NOUN
cana-4547	249	10	,	,	PUNCT
cana-4547	249	11	the	the	DET
cana-4547	249	12	framework	framework	NOUN
cana-4547	249	13	showed	show	VERB
cana-4547	249	14	superior	superior	ADJ
cana-4547	249	15	authentication	authentication	NOUN
cana-4547	249	16	accuracy	accuracy	NOUN
cana-4547	249	17	(	(	PUNCT
cana-4547	249	18	99.5	99.5	NUM
cana-4547	249	19	%	%	NOUN
cana-4547	249	20	)	)	PUNCT
cana-4547	249	21	,	,	PUNCT
cana-4547	249	22	adversarial	adversarial	ADJ
cana-4547	249	23	robustness	robustness	NOUN
cana-4547	249	24	(	(	PUNCT
cana-4547	249	25	1.2	1.2	NUM
cana-4547	249	26	%	%	NOUN
cana-4547	249	27	evasion	evasion	NOUN
cana-4547	249	28	rate	rate	NOUN
cana-4547	249	29	)	)	PUNCT
cana-4547	249	30	,	,	PUNCT
cana-4547	249	31	and	and	CCONJ
cana-4547	249	32	spoof	spoof	ADJ
cana-4547	249	33	detection	detection	NOUN
cana-4547	249	34	performance	performance	NOUN
cana-4547	249	35	(	(	PUNCT
cana-4547	249	36	99.1	99.1	NUM
cana-4547	249	37	%	%	NOUN
cana-4547	249	38	)	)	PUNCT
cana-4547	249	39	,	,	PUNCT
cana-4547	249	40	making	make	VERB
cana-4547	249	41	it	it	PRON
cana-4547	249	42	viable	viable	ADJ
cana-4547	249	43	for	for	ADP
cana-4547	249	44	deployment	deployment	NOUN
cana-4547	249	45	in	in	ADP
cana-4547	249	46	real	real	ADJ
cana-4547	249	47	-	-	PUNCT
cana-4547	249	48	world	world	NOUN
cana-4547	249	49	security	security	NOUN
cana-4547	249	50	-	-	PUNCT
cana-4547	249	51	critical	critical	ADJ
cana-4547	249	52	environments	environment	NOUN
cana-4547	249	53	.	.	PUNCT
cana-4547	250	1	the	the	DET
cana-4547	250	2	amfft	amfft	NOUN
cana-4547	250	3	thus	thus	ADV
cana-4547	250	4	processes	process	VERB
cana-4547	250	5	embeddings	embedding	NOUN
cana-4547	250	6	across	across	ADP
cana-4547	250	7	face	face	NOUN
cana-4547	250	8	,	,	PUNCT
cana-4547	250	9	voice	voice	NOUN
cana-4547	250	10	,	,	PUNCT
cana-4547	250	11	and	and	CCONJ
cana-4547	250	12	fingerprint	fingerprint	NOUN
cana-4547	250	13	modalities	modality	NOUN
cana-4547	250	14	to	to	PART
cana-4547	250	15	create	create	VERB
cana-4547	250	16	a	a	DET
cana-4547	250	17	fused	fuse	VERB
cana-4547	250	18	feature	feature	NOUN
cana-4547	250	19	representation	representation	NOUN
cana-4547	250	20	,	,	PUNCT
cana-4547	250	21	with	with	ADP
cana-4547	250	22	the	the	DET
cana-4547	250	23	decision	decision	NOUN
cana-4547	250	24	for	for	ADP
cana-4547	250	25	fusion	fusion	NOUN
cana-4547	250	26	dynamically	dynamically	ADV
cana-4547	250	27	made	make	VERB
cana-4547	250	28	based	base	VERB
cana-4547	250	29	upon	upon	SCONJ
cana-4547	250	30	security	security	NOUN
cana-4547	250	31	conditions	condition	NOUN
cana-4547	250	32	.	.	PUNCT
cana-4547	251	1	the	the	DET
cana-4547	251	2	detail	detail	NOUN
cana-4547	251	3	of	of	ADP
cana-4547	251	4	attribute	attribute	NOUN
cana-4547	251	5	scores	score	NOUN
cana-4547	251	6	for	for	ADP
cana-4547	251	7	each	each	DET
cana-4547	251	8	modality	modality	NOUN
cana-4547	251	9	,	,	PUNCT
cana-4547	251	10	the	the	DET
cana-4547	251	11	fusion	fusion	NOUN
cana-4547	251	12	strategy	strategy	NOUN
cana-4547	251	13	,	,	PUNCT
cana-4547	251	14	together	together	ADV
cana-4547	251	15	with	with	ADP
cana-4547	251	16	the	the	DET
cana-4547	251	17	final	final	ADJ
cana-4547	251	18	fused	fuse	VERB
cana-4547	251	19	biometric	biometric	ADJ
cana-4547	251	20	confidence	confidence	NOUN
cana-4547	251	21	score	score	NOUN
cana-4547	251	22	are	be	AUX
cana-4547	251	23	given	give	VERB
cana-4547	251	24	in	in	ADP
cana-4547	251	25	table	table	NOUN
cana-4547	251	26	7	7	NUM
cana-4547	251	27	as	as	SCONJ
cana-4547	251	28	follows	follow	VERB
cana-4547	251	29	,	,	PUNCT
cana-4547	251	30	table	table	NOUN
cana-4547	251	31	7	7	NUM
cana-4547	251	32	:	:	PUNCT
cana-4547	251	33	adaptive	adaptive	ADJ
cana-4547	251	34	multi	multi	ADJ
cana-4547	251	35	-	-	ADJ
cana-4547	251	36	modal	modal	ADJ
cana-4547	251	37	feature	feature	NOUN
cana-4547	251	38	fusion	fusion	NOUN
cana-4547	251	39	transformer	transformer	NOUN
cana-4547	251	40	(	(	PUNCT
cana-4547	251	41	amfft	amfft	PROPN
cana-4547	251	42	)	)	PUNCT
cana-4547	251	43	outputs	output	NOUN
cana-4547	251	44	user	user	NOUN
cana-4547	251	45	i	i	PROPN
cana-4547	251	46	d	d	PROPN
cana-4547	251	47	face	face	VERB
cana-4547	251	48	score	score	NOUN
cana-4547	251	49	voice	voice	NOUN
cana-4547	251	50	score	score	NOUN
cana-4547	251	51	fingerprint	fingerprint	NOUN
cana-4547	251	52	score	score	NOUN
cana-4547	251	53	fusion	fusion	NOUN
cana-4547	251	54	strategy	strategy	NOUN
cana-4547	251	55	final	final	ADJ
cana-4547	251	56	fused	fuse	VERB
cana-4547	251	57	score	score	NOUN
cana-4547	251	58	u001	u001	PROPN
cana-4547	251	59	0.98	0.98	NUM
cana-4547	251	60	0.95	0.95	NUM
cana-4547	251	61	0.99	0.99	NUM
cana-4547	251	62	late	late	ADJ
cana-4547	251	63	fusion	fusion	NOUN
cana-4547	251	64	0.976	0.976	NUM
cana-4547	251	65	u002	u002	PROPN
cana-4547	251	66	0.92	0.92	NUM
cana-4547	251	67	0.91	0.91	NUM
cana-4547	251	68	0.95	0.95	NUM
cana-4547	251	69	intermediate	intermediate	ADJ
cana-4547	251	70	fusion	fusion	NOUN
cana-4547	251	71	0.93	0.93	NUM
cana-4547	251	72	u003	u003	PROPN
cana-4547	251	73	0.85	0.85	NUM
cana-4547	251	74	0.87	0.87	NUM
cana-4547	251	75	0.92	0.92	NUM
cana-4547	251	76	early	early	ADJ
cana-4547	251	77	fusion	fusion	NOUN
cana-4547	251	78	0.88	0.88	NUM
cana-4547	251	79	a001	a001	PROPN
cana-4547	251	80	(	(	PUNCT
cana-4547	251	81	attacker	attacker	PROPN
cana-4547	251	82	)	)	PUNCT
cana-4547	251	83	0.78	0.78	NUM
cana-4547	251	84	0.45	0.45	NUM
cana-4547	251	85	0.95	0.95	NUM
cana-4547	251	86	late	late	ADJ
cana-4547	251	87	fusion	fusion	NOUN
cana-4547	251	88	0.80	0.80	NUM
cana-4547	251	89	a002	a002	PROPN
cana-4547	251	90	(	(	PUNCT
cana-4547	251	91	deepfake	deepfake	NOUN
cana-4547	251	92	)	)	PUNCT
cana-4547	251	93	0.35	0.35	NUM
cana-4547	251	94	0.20	0.20	NUM
cana-4547	251	95	0.88	0.88	NUM
cana-4547	251	96	intermediate	intermediate	ADJ
cana-4547	251	97	fusion	fusion	NOUN
cana-4547	251	98	0.56	0.56	NUM
cana-4547	251	99	communications	communication	NOUN
cana-4547	251	100	on	on	ADP
cana-4547	251	101	applied	apply	VERB
cana-4547	251	102	nonlinear	nonlinear	ADJ
cana-4547	251	103	analysis	analysis	NOUN
cana-4547	251	104	issn	issn	NOUN
cana-4547	251	105	:	:	PUNCT
cana-4547	251	106	1074	1074	NUM
cana-4547	251	107	-	-	PUNCT
cana-4547	251	108	133x	133x	NUM
cana-4547	251	109	vol	vol	NOUN
cana-4547	251	110	32	32	NUM
cana-4547	251	111	no	no	NOUN
cana-4547	251	112	.	.	PUNCT
cana-4547	252	1	9s	9s	NUM
cana-4547	252	2	(	(	PUNCT
cana-4547	252	3	2025	2025	NUM
cana-4547	252	4	)	)	PUNCT
cana-4547	252	5	2673	2673	NUM
cana-4547	252	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	253	1	thus	thus	ADV
cana-4547	253	2	,	,	PUNCT
cana-4547	253	3	the	the	DET
cana-4547	253	4	amfft	amfft	PROPN
cana-4547	253	5	model	model	NOUN
cana-4547	253	6	adapts	adapt	VERB
cana-4547	253	7	to	to	ADP
cana-4547	253	8	real	real	ADJ
cana-4547	253	9	-	-	PUNCT
cana-4547	253	10	time	time	NOUN
cana-4547	253	11	conditions	condition	NOUN
cana-4547	253	12	in	in	ADP
cana-4547	253	13	selecting	select	VERB
cana-4547	253	14	an	an	DET
cana-4547	253	15	optimal	optimal	ADJ
cana-4547	253	16	fusion	fusion	NOUN
cana-4547	253	17	approach	approach	NOUN
cana-4547	253	18	,	,	PUNCT
cana-4547	253	19	resulting	result	VERB
cana-4547	253	20	in	in	ADP
cana-4547	253	21	better	well	ADJ
cana-4547	253	22	reliability	reliability	NOUN
cana-4547	253	23	in	in	ADP
cana-4547	253	24	biometric	biometric	ADJ
cana-4547	253	25	matching	matching	NOUN
cana-4547	253	26	.	.	PUNCT
cana-4547	254	1	deepfake	deepfake	NOUN
cana-4547	254	2	-	-	PUNCT
cana-4547	254	3	based	base	VERB
cana-4547	254	4	impersonators	impersonator	NOUN
cana-4547	254	5	have	have	VERB
cana-4547	254	6	very	very	ADV
cana-4547	254	7	low	low	ADJ
cana-4547	254	8	fused	fuse	VERB
cana-4547	254	9	scores	score	NOUN
cana-4547	254	10	in	in	ADP
cana-4547	254	11	terms	term	NOUN
cana-4547	254	12	of	of	ADP
cana-4547	254	13	face	face	NOUN
cana-4547	254	14	and	and	CCONJ
cana-4547	254	15	voice	voice	NOUN
cana-4547	254	16	biometrics	biometric	NOUN
cana-4547	254	17	,	,	PUNCT
cana-4547	254	18	which	which	PRON
cana-4547	254	19	helps	help	VERB
cana-4547	254	20	in	in	ADP
cana-4547	254	21	detecting	detect	VERB
cana-4547	254	22	fraudulent	fraudulent	ADJ
cana-4547	254	23	attempts	attempt	NOUN
cana-4547	254	24	at	at	ADP
cana-4547	254	25	an	an	DET
cana-4547	254	26	early	early	ADJ
cana-4547	254	27	stage	stage	NOUN
cana-4547	254	28	.	.	PUNCT
cana-4547	255	1	dpat	dpat	PROPN
cana-4547	255	2	checks	check	VERB
cana-4547	255	3	the	the	DET
cana-4547	255	4	robustness	robustness	NOUN
cana-4547	255	5	against	against	ADP
cana-4547	255	6	adversary	adversary	NOUN
cana-4547	255	7	attacks	attack	NOUN
cana-4547	255	8	against	against	ADP
cana-4547	255	9	biometrics	biometric	NOUN
cana-4547	255	10	with	with	ADP
cana-4547	255	11	the	the	DET
cana-4547	255	12	help	help	NOUN
cana-4547	255	13	of	of	ADP
cana-4547	255	14	perturbation	perturbation	NOUN
cana-4547	255	15	tolerances	tolerance	NOUN
cana-4547	255	16	,	,	PUNCT
cana-4547	255	17	thus	thus	ADV
cana-4547	255	18	yielding	yield	VERB
cana-4547	255	19	different	different	ADJ
cana-4547	255	20	evasion	evasion	NOUN
cana-4547	255	21	rates	rate	NOUN
cana-4547	255	22	with	with	ADP
cana-4547	255	23	respect	respect	NOUN
cana-4547	255	24	to	to	ADP
cana-4547	255	25	various	various	ADJ
cana-4547	255	26	attack	attack	NOUN
cana-4547	255	27	types	type	NOUN
cana-4547	255	28	.	.	PUNCT
cana-4547	256	1	table	table	NOUN
cana-4547	256	2	8	8	NUM
cana-4547	256	3	gives	give	VERB
cana-4547	256	4	a	a	DET
cana-4547	256	5	summary	summary	NOUN
cana-4547	256	6	of	of	ADP
cana-4547	256	7	the	the	DET
cana-4547	256	8	evaluation	evaluation	NOUN
cana-4547	256	9	concerning	concern	VERB
cana-4547	256	10	the	the	DET
cana-4547	256	11	adversarial	adversarial	ADJ
cana-4547	256	12	robustness	robustness	NOUN
cana-4547	256	13	.	.	PUNCT
cana-4547	257	1	table	table	NOUN
cana-4547	257	2	8	8	NUM
cana-4547	257	3	:	:	PUNCT
cana-4547	257	4	differentially	differentially	ADV
cana-4547	257	5	private	private	ADJ
cana-4547	257	6	adversarial	adversarial	ADJ
cana-4547	257	7	training	training	NOUN
cana-4547	257	8	(	(	PUNCT
cana-4547	257	9	dpat	dpat	NOUN
cana-4547	257	10	)	)	PUNCT
cana-4547	257	11	evasion	evasion	NOUN
cana-4547	257	12	rate	rate	NOUN
cana-4547	257	13	(	(	PUNCT
cana-4547	257	14	%	%	INTJ
cana-4547	257	15	)	)	PUNCT
cana-4547	257	16	user	user	NOUN
cana-4547	257	17	i	i	PROPN
cana-4547	257	18	d	d	PROPN
cana-4547	257	19	pgd	pgd	PROPN
cana-4547	257	20	attack	attack	PROPN
cana-4547	257	21	fgsm	fgsm	PROPN
cana-4547	257	22	attack	attack	PROPN
cana-4547	257	23	gan	gan	PROPN
cana-4547	257	24	-	-	PUNCT
cana-4547	257	25	based	base	VERB
cana-4547	257	26	attack	attack	NOUN
cana-4547	257	27	average	average	ADJ
cana-4547	257	28	evasion	evasion	NOUN
cana-4547	257	29	rate	rate	NOUN
cana-4547	258	1	u001	u001	PROPN
cana-4547	258	2	1.0	1.0	NUM
cana-4547	258	3	1.2	1.2	NUM
cana-4547	258	4	1.1	1.1	NUM
cana-4547	258	5	1.1	1.1	NUM
cana-4547	258	6	u002	u002	PROPN
cana-4547	258	7	1.4	1.4	NUM
cana-4547	258	8	1.6	1.6	NUM
cana-4547	258	9	1.3	1.3	NUM
cana-4547	258	10	1.43	1.43	NUM
cana-4547	258	11	u003	u003	PROPN
cana-4547	258	12	1.8	1.8	NUM
cana-4547	258	13	1.9	1.9	NUM
cana-4547	258	14	1.5	1.5	NUM
cana-4547	258	15	1.73	1.73	NUM
cana-4547	258	16	a001	a001	PROPN
cana-4547	258	17	(	(	PUNCT
cana-4547	258	18	attacker	attacker	PROPN
cana-4547	258	19	)	)	PUNCT
cana-4547	258	20	5.6	5.6	NUM
cana-4547	258	21	6.2	6.2	NUM
cana-4547	258	22	6.0	6.0	NUM
cana-4547	258	23	5.93	5.93	NUM
cana-4547	258	24	a002	a002	PROPN
cana-4547	258	25	(	(	PUNCT
cana-4547	258	26	deepfake	deepfake	NOUN
cana-4547	258	27	)	)	PUNCT
cana-4547	258	28	8.2	8.2	NUM
cana-4547	258	29	9.1	9.1	NUM
cana-4547	258	30	8.9	8.9	NUM
cana-4547	258	31	8.73	8.73	NUM
cana-4547	258	32	the	the	DET
cana-4547	258	33	average	average	ADJ
cana-4547	258	34	evasion	evasion	NOUN
cana-4547	258	35	rate	rate	NOUN
cana-4547	258	36	of	of	ADP
cana-4547	258	37	the	the	DET
cana-4547	258	38	proposed	propose	VERB
cana-4547	258	39	model	model	NOUN
cana-4547	258	40	is	be	AUX
cana-4547	258	41	only	only	ADV
cana-4547	258	42	1.1	1.1	NUM
cana-4547	258	43	%	%	NOUN
cana-4547	258	44	for	for	ADP
cana-4547	258	45	honest	honest	ADJ
cana-4547	258	46	users	user	NOUN
cana-4547	258	47	,	,	PUNCT
cana-4547	258	48	while	while	SCONJ
cana-4547	258	49	adversarial	adversarial	ADJ
cana-4547	258	50	attacks	attack	NOUN
cana-4547	258	51	generally	generally	ADV
cana-4547	258	52	perform	perform	VERB
cana-4547	258	53	much	much	ADV
cana-4547	258	54	worse	bad	ADJ
cana-4547	258	55	for	for	ADP
cana-4547	258	56	the	the	DET
cana-4547	258	57	process	process	NOUN
cana-4547	258	58	.	.	PUNCT
cana-4547	259	1	the	the	DET
cana-4547	259	2	deepfake	deepfake	NOUN
cana-4547	259	3	biometric	biometric	ADJ
cana-4547	259	4	attackers	attacker	NOUN
cana-4547	259	5	have	have	VERB
cana-4547	259	6	an	an	DET
cana-4547	259	7	8.73	8.73	NUM
cana-4547	259	8	%	%	NOUN
cana-4547	259	9	evasion	evasion	NOUN
cana-4547	259	10	rate	rate	NOUN
cana-4547	259	11	,	,	PUNCT
cana-4547	259	12	which	which	PRON
cana-4547	259	13	shows	show	VERB
cana-4547	259	14	that	that	SCONJ
cana-4547	259	15	the	the	DET
cana-4547	259	16	system	system	NOUN
cana-4547	259	17	strongly	strongly	ADV
cana-4547	259	18	resists	resist	VERB
cana-4547	259	19	adversarial	adversarial	ADJ
cana-4547	259	20	manipulations	manipulation	NOUN
cana-4547	259	21	.	.	PUNCT
cana-4547	260	1	the	the	DET
cana-4547	260	2	mechanism	mechanism	NOUN
cana-4547	260	3	analyses	analyse	VERB
cana-4547	260	4	the	the	DET
cana-4547	260	5	biometric	biometric	ADJ
cana-4547	260	6	data	datum	NOUN
cana-4547	260	7	to	to	PART
cana-4547	260	8	detect	detect	VERB
cana-4547	260	9	spoofing	spoof	VERB
cana-4547	260	10	attempts	attempt	NOUN
cana-4547	260	11	through	through	ADP
cana-4547	260	12	the	the	DET
cana-4547	260	13	cross	cross	ADJ
cana-4547	260	14	-	-	ADJ
cana-4547	260	15	modal	modal	ADJ
cana-4547	260	16	consistency	consistency	NOUN
cana-4547	260	17	by	by	ADP
cana-4547	260	18	anomaly	anomaly	NOUN
cana-4547	260	19	-	-	PUNCT
cana-4547	260	20	detecting	detect	VERB
cana-4547	260	21	mechanisms	mechanism	NOUN
cana-4547	260	22	.	.	PUNCT
cana-4547	261	1	table	table	NOUN
cana-4547	261	2	9	9	NUM
cana-4547	261	3	presents	present	VERB
cana-4547	261	4	the	the	DET
cana-4547	261	5	probability	probability	NOUN
cana-4547	261	6	scores	score	NOUN
cana-4547	261	7	of	of	ADP
cana-4547	261	8	being	be	AUX
cana-4547	261	9	spoofed	spoof	VERB
cana-4547	261	10	for	for	ADP
cana-4547	261	11	each	each	DET
cana-4547	261	12	biometric	biometric	ADJ
cana-4547	261	13	modality	modality	NOUN
cana-4547	261	14	,	,	PUNCT
cana-4547	261	15	as	as	ADV
cana-4547	261	16	well	well	ADV
cana-4547	261	17	as	as	ADP
cana-4547	261	18	the	the	DET
cana-4547	261	19	final	final	ADJ
cana-4547	261	20	risk	risk	NOUN
cana-4547	261	21	scores	score	NOUN
cana-4547	261	22	regarding	regard	VERB
cana-4547	261	23	spoofing	spoof	VERB
cana-4547	261	24	sets	set	NOUN
cana-4547	261	25	.	.	PUNCT
cana-4547	262	1	table	table	NOUN
cana-4547	262	2	9	9	NUM
cana-4547	262	3	:	:	PUNCT
cana-4547	262	4	spoof	spoof	ADJ
cana-4547	262	5	detection	detection	NOUN
cana-4547	262	6	results	result	NOUN
cana-4547	262	7	using	use	VERB
cana-4547	262	8	sma	sma	NOUN
cana-4547	262	9	-	-	PUNCT
cana-4547	262	10	transformer	transformer	NOUN
cana-4547	262	11	user	user	NOUN
cana-4547	262	12	i	i	PROPN
cana-4547	262	13	d	d	PROPN
cana-4547	262	14	face	face	VERB
cana-4547	262	15	spoof	spoof	ADJ
cana-4547	262	16	probability	probability	NOUN
cana-4547	262	17	voice	voice	NOUN
cana-4547	262	18	spoof	spoof	NOUN
cana-4547	262	19	probability	probability	NOUN
cana-4547	262	20	fingerprint	fingerprint	NOUN
cana-4547	262	21	spoof	spoof	ADJ
cana-4547	262	22	probability	probability	NOUN
cana-4547	262	23	final	final	ADJ
cana-4547	262	24	spoof	spoof	ADJ
cana-4547	262	25	risk	risk	NOUN
cana-4547	262	26	score	score	NOUN
cana-4547	263	1	u001	u001	PROPN
cana-4547	263	2	0.02	0.02	NUM
cana-4547	263	3	0.03	0.03	NUM
cana-4547	263	4	0.01	0.01	NUM
cana-4547	263	5	0.02	0.02	NUM
cana-4547	263	6	u002	u002	NUM
cana-4547	263	7	0.04	0.04	NUM
cana-4547	263	8	0.05	0.05	NUM
cana-4547	263	9	0.02	0.02	NUM
cana-4547	263	10	0.04	0.04	NUM
cana-4547	263	11	u003	u003	PROPN
cana-4547	263	12	0.07	0.07	NUM
cana-4547	263	13	0.06	0.06	NUM
cana-4547	263	14	0.03	0.03	NUM
cana-4547	263	15	0.05	0.05	NUM
cana-4547	263	16	a001	a001	PROPN
cana-4547	263	17	(	(	PUNCT
cana-4547	263	18	attacker	attacker	PROPN
cana-4547	263	19	)	)	PUNCT
cana-4547	263	20	0.45	0.45	NUM
cana-4547	263	21	0.60	0.60	NUM
cana-4547	263	22	0.02	0.02	NUM
cana-4547	263	23	0.36	0.36	NUM
cana-4547	263	24	a002	a002	PROPN
cana-4547	263	25	(	(	PUNCT
cana-4547	263	26	deepfake	deepfake	NOUN
cana-4547	263	27	)	)	PUNCT
cana-4547	263	28	0.92	0.92	NUM
cana-4547	263	29	0.85	0.85	NUM
cana-4547	263	30	0.05	0.05	NUM
cana-4547	263	31	0.77	0.77	NUM
cana-4547	263	32	genuine	genuine	ADJ
cana-4547	263	33	users	user	NOUN
cana-4547	263	34	have	have	VERB
cana-4547	263	35	low	low	ADJ
cana-4547	263	36	risk	risk	NOUN
cana-4547	263	37	scores	score	NOUN
cana-4547	263	38	of	of	ADP
cana-4547	263	39	being	be	AUX
cana-4547	263	40	spoofed	spoof	VERB
cana-4547	263	41	(	(	PUNCT
cana-4547	263	42	<	<	NOUN
cana-4547	263	43	0.05	0.05	NUM
cana-4547	263	44	)	)	PUNCT
cana-4547	263	45	,	,	PUNCT
cana-4547	263	46	ensuring	ensure	VERB
cana-4547	263	47	an	an	DET
cana-4547	263	48	accurate	accurate	ADJ
cana-4547	263	49	authentication	authentication	NOUN
cana-4547	263	50	;	;	PUNCT
cana-4547	263	51	whereas	whereas	SCONJ
cana-4547	263	52	deepfails	deepfail	NOUN
cana-4547	263	53	are	be	AUX
cana-4547	263	54	high	high	ADJ
cana-4547	263	55	in	in	ADP
cana-4547	263	56	the	the	DET
cana-4547	263	57	range	range	NOUN
cana-4547	263	58	(	(	PUNCT
cana-4547	263	59	>	>	NOUN
cana-4547	263	60	0.75	0.75	NUM
cana-4547	263	61	)	)	PUNCT
cana-4547	263	62	,	,	PUNCT
cana-4547	263	63	hence	hence	ADV
cana-4547	263	64	immediate	immediate	ADJ
cana-4547	263	65	rejection	rejection	NOUN
cana-4547	263	66	.	.	PUNCT
cana-4547	264	1	session	session	NOUN
cana-4547	264	2	security	security	NOUN
cana-4547	264	3	is	be	AUX
cana-4547	264	4	based	base	VERB
cana-4547	264	5	on	on	ADP
cana-4547	264	6	the	the	DET
cana-4547	264	7	subjects	subject	NOUN
cana-4547	264	8	'	'	PART
cana-4547	264	9	behavioral	behavioral	ADJ
cana-4547	264	10	nature	nature	NOUN
cana-4547	264	11	and	and	CCONJ
cana-4547	264	12	those	those	PRON
cana-4547	264	13	that	that	PRON
cana-4547	264	14	are	be	AUX
cana-4547	264	15	biometric	biometric	ADJ
cana-4547	264	16	verified	verify	VERB
cana-4547	264	17	in	in	ADP
cana-4547	264	18	ezv	ezv	NOUN
cana-4547	264	19	-	-	PUNCT
cana-4547	264	20	model	model	NOUN
cana-4547	264	21	.	.	PUNCT
cana-4547	265	1	real	real	ADJ
cana-4547	265	2	-	-	PUNCT
cana-4547	265	3	time	time	NOUN
cana-4547	265	4	risk	risk	NOUN
cana-4547	265	5	levels	level	NOUN
cana-4547	265	6	from	from	ADP
cana-4547	265	7	behavioral	behavioral	ADJ
cana-4547	265	8	deviations	deviation	NOUN
cana-4547	265	9	and	and	CCONJ
cana-4547	265	10	multimodal	multimodal	NOUN
cana-4547	265	11	authentication	authentication	NOUN
cana-4547	265	12	scores	score	NOUN
cana-4547	265	13	are	be	AUX
cana-4547	265	14	presented	present	VERB
cana-4547	265	15	in	in	ADP
cana-4547	265	16	table	table	NOUN
cana-4547	265	17	10	10	NUM
cana-4547	265	18	,	,	PUNCT
cana-4547	265	19	communications	communication	NOUN
cana-4547	265	20	on	on	ADP
cana-4547	265	21	applied	apply	VERB
cana-4547	265	22	nonlinear	nonlinear	ADJ
cana-4547	265	23	analysis	analysis	NOUN
cana-4547	265	24	issn	issn	NOUN
cana-4547	265	25	:	:	PUNCT
cana-4547	265	26	1074	1074	NUM
cana-4547	265	27	-	-	PUNCT
cana-4547	265	28	133x	133x	NUM
cana-4547	265	29	vol	vol	NOUN
cana-4547	265	30	32	32	NUM
cana-4547	265	31	no	no	NOUN
cana-4547	265	32	.	.	PUNCT
cana-4547	266	1	9s	9s	NUM
cana-4547	266	2	(	(	PUNCT
cana-4547	266	3	2025	2025	NUM
cana-4547	266	4	)	)	PUNCT
cana-4547	266	5	2674	2674	NUM
cana-4547	266	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	266	7	table	table	NOUN
cana-4547	266	8	10	10	NUM
cana-4547	266	9	:	:	PUNCT
cana-4547	266	10	risk	risk	NOUN
cana-4547	266	11	assessment	assessment	NOUN
cana-4547	266	12	using	use	VERB
cana-4547	266	13	ezv	ezv	ADJ
cana-4547	266	14	-	-	PUNCT
cana-4547	266	15	model	model	NOUN
cana-4547	266	16	user	user	NOUN
cana-4547	266	17	i	i	PROPN
cana-4547	266	18	d	d	PROPN
cana-4547	266	19	behavioral	behavioral	ADJ
cana-4547	266	20	deviation	deviation	NOUN
cana-4547	266	21	score	score	VERB
cana-4547	266	22	biometric	biometric	ADJ
cana-4547	266	23	confidence	confidence	NOUN
cana-4547	266	24	score	score	NOUN
cana-4547	266	25	final	final	ADJ
cana-4547	266	26	risk	risk	NOUN
cana-4547	266	27	level	level	NOUN
cana-4547	266	28	u001	u001	PROPN
cana-4547	266	29	0.02	0.02	NUM
cana-4547	266	30	0.976	0.976	NUM
cana-4547	266	31	low	low	ADJ
cana-4547	266	32	risk	risk	NOUN
cana-4547	266	33	u002	u002	PROPN
cana-4547	266	34	0.05	0.05	NUM
cana-4547	266	35	0.93	0.93	NUM
cana-4547	266	36	low	low	ADJ
cana-4547	266	37	risk	risk	NOUN
cana-4547	266	38	u003	u003	PROPN
cana-4547	266	39	0.10	0.10	NUM
cana-4547	266	40	0.88	0.88	NUM
cana-4547	266	41	medium	medium	ADJ
cana-4547	266	42	risk	risk	NOUN
cana-4547	266	43	a001	a001	PROPN
cana-4547	266	44	(	(	PUNCT
cana-4547	266	45	attacker	attacker	PROPN
cana-4547	266	46	)	)	PUNCT
cana-4547	266	47	0.40	0.40	NUM
cana-4547	266	48	0.80	0.80	NUM
cana-4547	266	49	high	high	ADJ
cana-4547	266	50	risk	risk	NOUN
cana-4547	266	51	a002	a002	PROPN
cana-4547	266	52	(	(	PUNCT
cana-4547	266	53	deepfake	deepfake	NOUN
cana-4547	266	54	)	)	PUNCT
cana-4547	266	55	0.75	0.75	NUM
cana-4547	266	56	0.56	0.56	NUM
cana-4547	266	57	very	very	ADV
cana-4547	266	58	high	high	ADJ
cana-4547	266	59	risk	risk	NOUN
cana-4547	266	60	trying	try	VERB
cana-4547	266	61	to	to	PART
cana-4547	266	62	hijack	hijack	VERB
cana-4547	266	63	the	the	DET
cana-4547	266	64	session	session	NOUN
cana-4547	266	65	raises	raise	VERB
cana-4547	266	66	high	high	ADJ
cana-4547	266	67	or	or	CCONJ
cana-4547	266	68	very	very	ADV
cana-4547	266	69	high	high	ADJ
cana-4547	266	70	risk	risk	NOUN
cana-4547	266	71	alarms	alarm	NOUN
cana-4547	266	72	alerts	alert	VERB
cana-4547	266	73	that	that	PRON
cana-4547	266	74	prevent	prevent	VERB
cana-4547	266	75	illicit	illicit	ADJ
cana-4547	266	76	access	access	NOUN
cana-4547	266	77	.	.	PUNCT
cana-4547	267	1	the	the	DET
cana-4547	267	2	behavior	behavior	NOUN
cana-4547	267	3	on	on	ADP
cana-4547	267	4	which	which	PRON
cana-4547	267	5	the	the	DET
cana-4547	267	6	rbb	rbb	PROPN
cana-4547	267	7	-	-	PUNCT
cana-4547	267	8	sec	sec	PROPN
cana-4547	267	9	relies	rely	VERB
cana-4547	267	10	further	far	ADV
cana-4547	267	11	maintains	maintain	VERB
cana-4547	267	12	consistency	consistency	NOUN
cana-4547	267	13	over	over	ADP
cana-4547	267	14	temporal	temporal	ADJ
cana-4547	267	15	instance	instance	NOUN
cana-4547	267	16	sets	set	NOUN
cana-4547	267	17	.	.	PUNCT
cana-4547	268	1	table	table	NOUN
cana-4547	268	2	11	11	NUM
cana-4547	268	3	illustrates	illustrate	VERB
cana-4547	268	4	the	the	DET
cana-4547	268	5	anomaly	anomaly	NOUN
cana-4547	268	6	scores	score	NOUN
cana-4547	268	7	computed	compute	VERB
cana-4547	268	8	for	for	ADP
cana-4547	268	9	user	user	NOUN
cana-4547	268	10	behavior	behavior	NOUN
cana-4547	268	11	analysis	analysis	NOUN
cana-4547	268	12	.	.	PUNCT
cana-4547	269	1	table	table	NOUN
cana-4547	269	2	11	11	NUM
cana-4547	269	3	:	:	PUNCT
cana-4547	269	4	behavioral	behavioral	ADJ
cana-4547	269	5	security	security	NOUN
cana-4547	269	6	scores	score	NOUN
cana-4547	269	7	from	from	ADP
cana-4547	269	8	rbb	rbb	PROPN
cana-4547	269	9	-	-	PUNCT
cana-4547	269	10	sec	sec	PROPN
cana-4547	269	11	user	user	NOUN
cana-4547	269	12	i	i	PROPN
cana-4547	269	13	d	d	PROPN
cana-4547	269	14	keystroke	keystroke	PROPN
cana-4547	269	15	anomaly	anomaly	PROPN
cana-4547	269	16	score	score	NOUN
cana-4547	269	17	gait	gait	PROPN
cana-4547	269	18	anomaly	anomaly	PROPN
cana-4547	269	19	score	score	NOUN
cana-4547	269	20	voice	voice	NOUN
cana-4547	269	21	stress	stress	NOUN
cana-4547	269	22	score	score	NOUN
cana-4547	269	23	final	final	ADJ
cana-4547	269	24	behavioral	behavioral	ADJ
cana-4547	269	25	risk	risk	NOUN
cana-4547	269	26	u001	u001	PROPN
cana-4547	269	27	0.01	0.01	NUM
cana-4547	269	28	0.03	0.03	NUM
cana-4547	269	29	0.02	0.02	NUM
cana-4547	269	30	low	low	ADJ
cana-4547	269	31	risk	risk	NOUN
cana-4547	269	32	u002	u002	PROPN
cana-4547	269	33	0.05	0.05	NUM
cana-4547	269	34	0.04	0.04	NUM
cana-4547	269	35	0.03	0.03	NUM
cana-4547	269	36	low	low	ADJ
cana-4547	269	37	risk	risk	NOUN
cana-4547	269	38	u003	u003	PROPN
cana-4547	269	39	0.12	0.12	NUM
cana-4547	269	40	0.15	0.15	NUM
cana-4547	269	41	0.10	0.10	NUM
cana-4547	269	42	medium	medium	ADJ
cana-4547	269	43	risk	risk	NOUN
cana-4547	269	44	a001	a001	PROPN
cana-4547	269	45	(	(	PUNCT
cana-4547	269	46	attacker	attacker	PROPN
cana-4547	269	47	)	)	PUNCT
cana-4547	269	48	0.45	0.45	NUM
cana-4547	269	49	0.50	0.50	NUM
cana-4547	269	50	0.60	0.60	NUM
cana-4547	269	51	high	high	ADJ
cana-4547	269	52	risk	risk	NOUN
cana-4547	269	53	a002	a002	PROPN
cana-4547	269	54	(	(	PUNCT
cana-4547	269	55	deepfake	deepfake	NOUN
cana-4547	269	56	)	)	PUNCT
cana-4547	269	57	0.80	0.80	NUM
cana-4547	269	58	0.85	0.85	NUM
cana-4547	269	59	0.90	0.90	NUM
cana-4547	269	60	very	very	ADV
cana-4547	269	61	high	high	ADJ
cana-4547	269	62	risk	risk	NOUN
cana-4547	269	63	such	such	ADJ
cana-4547	269	64	behavioral	behavioral	ADJ
cana-4547	269	65	anomalies	anomaly	NOUN
cana-4547	269	66	found	find	VERB
cana-4547	269	67	in	in	ADP
cana-4547	269	68	attackers	attacker	NOUN
cana-4547	269	69	trigger	trigger	VERB
cana-4547	269	70	immediate	immediate	ADJ
cana-4547	269	71	session	session	NOUN
cana-4547	269	72	terminations	termination	NOUN
cana-4547	269	73	.	.	PUNCT
cana-4547	270	1	the	the	DET
cana-4547	270	2	aggregation	aggregation	NOUN
cana-4547	270	3	of	of	ADP
cana-4547	270	4	all	all	DET
cana-4547	270	5	scores	score	NOUN
cana-4547	270	6	would	would	AUX
cana-4547	270	7	provide	provide	VERB
cana-4547	270	8	final	final	ADJ
cana-4547	270	9	authentication	authentication	NOUN
cana-4547	270	10	decisions	decision	NOUN
cana-4547	270	11	,	,	PUNCT
cana-4547	270	12	as	as	SCONJ
cana-4547	270	13	reflected	reflect	VERB
cana-4547	270	14	in	in	ADP
cana-4547	270	15	table	table	NOUN
cana-4547	270	16	12	12	NUM
cana-4547	270	17	,	,	PUNCT
cana-4547	270	18	table	table	NOUN
cana-4547	270	19	12	12	NUM
cana-4547	270	20	:	:	PUNCT
cana-4547	270	21	final	final	ADJ
cana-4547	270	22	authentication	authentication	NOUN
cana-4547	270	23	decision	decision	NOUN
cana-4547	270	24	user	user	NOUN
cana-4547	270	25	i	i	PROPN
cana-4547	270	26	d	d	PROPN
cana-4547	270	27	final	final	ADJ
cana-4547	270	28	authentication	authentication	NOUN
cana-4547	270	29	score	score	NOUN
cana-4547	270	30	risk	risk	NOUN
cana-4547	270	31	level	level	NOUN
cana-4547	270	32	decision	decision	NOUN
cana-4547	270	33	u001	u001	NOUN
cana-4547	270	34	0.976	0.976	NUM
cana-4547	270	35	low	low	ADJ
cana-4547	270	36	risk	risk	NOUN
cana-4547	270	37	approved	approve	VERB
cana-4547	270	38	u002	u002	PROPN
cana-4547	270	39	0.93	0.93	NUM
cana-4547	270	40	low	low	ADJ
cana-4547	270	41	risk	risk	NOUN
cana-4547	270	42	approved	approve	VERB
cana-4547	270	43	u003	u003	PROPN
cana-4547	270	44	0.88	0.88	NUM
cana-4547	270	45	medium	medium	ADJ
cana-4547	270	46	risk	risk	NOUN
cana-4547	270	47	additional	additional	ADJ
cana-4547	270	48	verification	verification	NOUN
cana-4547	270	49	a001	a001	PROPN
cana-4547	270	50	(	(	PUNCT
cana-4547	270	51	attacker	attacker	PROPN
cana-4547	270	52	)	)	PUNCT
cana-4547	270	53	0.80	0.80	NUM
cana-4547	270	54	high	high	ADJ
cana-4547	270	55	risk	risk	NOUN
cana-4547	270	56	rejected	reject	VERB
cana-4547	270	57	a002	a002	PROPN
cana-4547	270	58	(	(	PUNCT
cana-4547	270	59	deepfake	deepfake	NOUN
cana-4547	270	60	)	)	PUNCT
cana-4547	270	61	0.56	0.56	NUM
cana-4547	270	62	very	very	ADV
cana-4547	270	63	high	high	ADJ
cana-4547	270	64	risk	risk	NOUN
cana-4547	270	65	rejected	reject	VERB
cana-4547	270	66	communications	communication	NOUN
cana-4547	270	67	on	on	ADP
cana-4547	270	68	applied	apply	VERB
cana-4547	270	69	nonlinear	nonlinear	ADJ
cana-4547	270	70	analysis	analysis	NOUN
cana-4547	270	71	issn	issn	NOUN
cana-4547	270	72	:	:	PUNCT
cana-4547	270	73	1074	1074	NUM
cana-4547	270	74	-	-	PUNCT
cana-4547	270	75	133x	133x	NUM
cana-4547	270	76	vol	vol	NOUN
cana-4547	270	77	32	32	NUM
cana-4547	270	78	no	no	NOUN
cana-4547	270	79	.	.	PUNCT
cana-4547	271	1	9s	9s	NUM
cana-4547	271	2	(	(	PUNCT
cana-4547	271	3	2025	2025	NUM
cana-4547	271	4	)	)	PUNCT
cana-4547	271	5	2675	2675	NUM
cana-4547	271	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	271	7	as	as	ADP
cana-4547	271	8	such	such	ADJ
cana-4547	271	9	,	,	PUNCT
cana-4547	271	10	the	the	DET
cana-4547	271	11	proposed	propose	VERB
cana-4547	271	12	system	system	NOUN
cana-4547	271	13	ensures	ensure	VERB
cana-4547	271	14	highly	highly	ADV
cana-4547	271	15	secure	secure	ADJ
cana-4547	271	16	access	access	NOUN
cana-4547	271	17	with	with	ADP
cana-4547	271	18	minimum	minimum	ADJ
cana-4547	271	19	friction	friction	NOUN
cana-4547	271	20	for	for	ADP
cana-4547	271	21	legit	legit	ADJ
cana-4547	271	22	users	user	NOUN
cana-4547	271	23	while	while	SCONJ
cana-4547	271	24	allowing	allow	VERB
cana-4547	271	25	it	it	PRON
cana-4547	271	26	to	to	PART
cana-4547	271	27	accept	accept	VERB
cana-4547	271	28	legit	legit	ADJ
cana-4547	271	29	users	user	NOUN
cana-4547	271	30	and	and	CCONJ
cana-4547	271	31	challenge	challenge	VERB
cana-4547	271	32	medium	medium	ADJ
cana-4547	271	33	-	-	PUNCT
cana-4547	271	34	risk	risk	NOUN
cana-4547	271	35	cases	case	NOUN
cana-4547	271	36	against	against	ADP
cana-4547	271	37	high	high	ADJ
cana-4547	271	38	-	-	PUNCT
cana-4547	271	39	risk	risk	NOUN
cana-4547	271	40	attackers	attacker	NOUN
cana-4547	271	41	.	.	PUNCT
cana-4547	272	1	5	5	X
cana-4547	272	2	.	.	X
cana-4547	272	3	conclusion	conclusion	NOUN
cana-4547	272	4	&	&	CCONJ
cana-4547	272	5	future	future	ADJ
cana-4547	272	6	scopes	scope	NOUN
cana-4547	272	7	the	the	DET
cana-4547	272	8	adaptive	adaptive	ADJ
cana-4547	272	9	multi	multi	ADJ
cana-4547	272	10	-	-	ADJ
cana-4547	272	11	modal	modal	ADJ
cana-4547	272	12	biometric	biometric	ADJ
cana-4547	272	13	security	security	NOUN
cana-4547	272	14	framework	framework	NOUN
cana-4547	272	15	was	be	AUX
cana-4547	272	16	designed	design	VERB
cana-4547	272	17	with	with	ADP
cana-4547	272	18	the	the	DET
cana-4547	272	19	intention	intention	NOUN
cana-4547	272	20	of	of	ADP
cana-4547	272	21	offering	offer	VERB
cana-4547	272	22	the	the	DET
cana-4547	272	23	highest	high	ADJ
cana-4547	272	24	levels	level	NOUN
cana-4547	272	25	of	of	ADP
cana-4547	272	26	security	security	NOUN
cana-4547	272	27	,	,	PUNCT
cana-4547	272	28	ensuring	ensure	VERB
cana-4547	272	29	robustness	robustness	NOUN
cana-4547	272	30	,	,	PUNCT
cana-4547	272	31	and	and	CCONJ
cana-4547	272	32	preserving	preserve	VERB
cana-4547	272	33	the	the	DET
cana-4547	272	34	confidentiality	confidentiality	NOUN
cana-4547	272	35	of	of	ADP
cana-4547	272	36	the	the	DET
cana-4547	272	37	proposed	propose	VERB
cana-4547	272	38	authentication	authentication	NOUN
cana-4547	272	39	system	system	NOUN
cana-4547	272	40	from	from	ADP
cana-4547	272	41	attacks	attack	NOUN
cana-4547	272	42	such	such	ADJ
cana-4547	272	43	as	as	ADP
cana-4547	272	44	deepfake	deepfake	NOUN
cana-4547	272	45	,	,	PUNCT
cana-4547	272	46	adversarial	adversarial	ADJ
cana-4547	272	47	perturbation	perturbation	NOUN
cana-4547	272	48	attacks	attack	NOUN
cana-4547	272	49	,	,	PUNCT
cana-4547	272	50	and	and	CCONJ
cana-4547	272	51	session	session	NOUN
cana-4547	272	52	hijacking	hijacking	NOUN
cana-4547	272	53	.	.	PUNCT
cana-4547	273	1	conjoining	conjoin	VERB
cana-4547	273	2	amfft	amfft	NOUN
cana-4547	273	3	,	,	PUNCT
cana-4547	273	4	dpat	dpat	NOUN
cana-4547	273	5	,	,	PUNCT
cana-4547	273	6	sma	sma	NOUN
cana-4547	273	7	-	-	PUNCT
cana-4547	273	8	transformer	transformer	NOUN
cana-4547	273	9	,	,	PUNCT
cana-4547	273	10	ezv	ezv	NOUN
cana-4547	273	11	-	-	PUNCT
cana-4547	273	12	model	model	NOUN
cana-4547	273	13	,	,	PUNCT
cana-4547	273	14	and	and	CCONJ
cana-4547	273	15	rbb	rbb	PROPN
cana-4547	273	16	-	-	PUNCT
cana-4547	273	17	sec	sec	PROPN
cana-4547	273	18	leads	lead	VERB
cana-4547	273	19	to	to	ADP
cana-4547	273	20	a	a	DET
cana-4547	273	21	stateof	stateof	ADJ
cana-4547	273	22	-	-	PUNCT
cana-4547	273	23	the	the	DET
cana-4547	273	24	-	-	PUNCT
cana-4547	273	25	art	art	NOUN
cana-4547	273	26	authentication	authentication	NOUN
cana-4547	273	27	accuracy	accuracy	NOUN
cana-4547	273	28	of	of	ADP
cana-4547	273	29	99.5	99.5	NUM
cana-4547	273	30	%	%	NOUN
cana-4547	273	31	,	,	PUNCT
cana-4547	273	32	which	which	PRON
cana-4547	273	33	outperforms	outperform	VERB
cana-4547	273	34	existing	exist	VERB
cana-4547	273	35	methods	method	NOUN
cana-4547	273	36	such	such	ADJ
cana-4547	273	37	as	as	ADP
cana-4547	273	38	method	method	NOUN
cana-4547	273	39	[	[	X
cana-4547	273	40	3	3	NUM
cana-4547	273	41	]	]	PUNCT
cana-4547	273	42	(	(	PUNCT
cana-4547	273	43	97.2	97.2	NUM
cana-4547	273	44	%	%	NOUN
cana-4547	273	45	)	)	PUNCT
cana-4547	273	46	,	,	PUNCT
cana-4547	273	47	method	method	NOUN
cana-4547	273	48	[	[	X
cana-4547	273	49	8	8	NUM
cana-4547	273	50	]	]	PUNCT
cana-4547	273	51	(	(	PUNCT
cana-4547	273	52	96.4	96.4	NUM
cana-4547	273	53	%	%	NOUN
cana-4547	273	54	)	)	PUNCT
cana-4547	273	55	,	,	PUNCT
cana-4547	273	56	and	and	CCONJ
cana-4547	273	57	method	method	NOUN
cana-4547	273	58	[	[	X
cana-4547	273	59	25	25	NUM
cana-4547	273	60	]	]	PUNCT
cana-4547	273	61	(	(	PUNCT
cana-4547	273	62	94.8	94.8	NUM
cana-4547	273	63	%	%	NOUN
cana-4547	273	64	)	)	PUNCT
cana-4547	273	65	.	.	PUNCT
cana-4547	274	1	the	the	DET
cana-4547	274	2	spoof	spoof	ADJ
cana-4547	274	3	detection	detection	NOUN
cana-4547	274	4	module	module	NOUN
cana-4547	274	5	(	(	PUNCT
cana-4547	274	6	smatransformer	smatransformer	NOUN
cana-4547	274	7	)	)	PUNCT
cana-4547	274	8	achieves	achieve	VERB
cana-4547	274	9	a	a	DET
cana-4547	274	10	very	very	ADV
cana-4547	274	11	impressive	impressive	ADJ
cana-4547	274	12	detection	detection	NOUN
cana-4547	274	13	rate	rate	NOUN
cana-4547	274	14	of	of	ADP
cana-4547	274	15	99.1	99.1	NUM
cana-4547	274	16	%	%	NOUN
cana-4547	274	17	,	,	PUNCT
cana-4547	274	18	which	which	PRON
cana-4547	274	19	successfully	successfully	ADV
cana-4547	274	20	recognizes	recognize	VERB
cana-4547	274	21	faces	face	NOUN
cana-4547	274	22	better	well	ADJ
cana-4547	274	23	than	than	ADP
cana-4547	274	24	that	that	PRON
cana-4547	274	25	in	in	ADP
cana-4547	274	26	existing	exist	VERB
cana-4547	274	27	method	method	NOUN
cana-4547	274	28	[	[	X
cana-4547	274	29	26	26	NUM
cana-4547	274	30	]	]	PUNCT
cana-4547	274	31	,	,	PUNCT
cana-4547	274	32	synthetic	synthetic	ADJ
cana-4547	274	33	voices	voice	NOUN
cana-4547	274	34	,	,	PUNCT
cana-4547	274	35	and	and	CCONJ
cana-4547	274	36	artificial	artificial	ADJ
cana-4547	274	37	fingerprints	fingerprint	NOUN
cana-4547	274	38	and	and	CCONJ
cana-4547	274	39	outperforms	outperform	VERB
cana-4547	274	40	existing	exist	VERB
cana-4547	274	41	systems	system	NOUN
cana-4547	274	42	by	by	ADP
cana-4547	274	43	an	an	DET
cana-4547	274	44	average	average	NOUN
cana-4547	274	45	of	of	ADP
cana-4547	274	46	8.6	8.6	NUM
cana-4547	274	47	%	%	NOUN
cana-4547	274	48	.	.	PUNCT
cana-4547	275	1	the	the	DET
cana-4547	275	2	accurateness	accurateness	NOUN
cana-4547	275	3	of	of	ADP
cana-4547	275	4	the	the	DET
cana-4547	275	5	attack	attack	NOUN
cana-4547	275	6	evasion	evasion	NOUN
cana-4547	275	7	prunes	prune	NOUN
cana-4547	275	8	down	down	ADP
cana-4547	275	9	to	to	ADP
cana-4547	275	10	just	just	ADV
cana-4547	275	11	1.2	1.2	NUM
cana-4547	275	12	%	%	NOUN
cana-4547	275	13	in	in	ADP
cana-4547	275	14	the	the	DET
cana-4547	275	15	adversarial	adversarial	ADJ
cana-4547	275	16	robustness	robustness	NOUN
cana-4547	275	17	module	module	NOUN
cana-4547	275	18	(	(	PUNCT
cana-4547	275	19	dpat	dpat	NOUN
cana-4547	275	20	)	)	PUNCT
cana-4547	275	21	,	,	PUNCT
cana-4547	275	22	which	which	PRON
cana-4547	275	23	shows	show	VERB
cana-4547	275	24	a	a	DET
cana-4547	275	25	great	great	ADJ
cana-4547	275	26	difference	difference	NOUN
cana-4547	275	27	against	against	ADP
cana-4547	275	28	method	method	NOUN
cana-4547	275	29	[	[	X
cana-4547	275	30	3	3	NUM
cana-4547	275	31	]	]	PUNCT
cana-4547	275	32	(	(	PUNCT
cana-4547	275	33	4.8	4.8	NUM
cana-4547	275	34	%	%	NOUN
cana-4547	275	35	)	)	PUNCT
cana-4547	275	36	,	,	PUNCT
cana-4547	275	37	method	method	NOUN
cana-4547	275	38	[	[	X
cana-4547	275	39	8	8	NUM
cana-4547	275	40	]	]	PUNCT
cana-4547	275	41	(	(	PUNCT
cana-4547	275	42	6.3	6.3	NUM
cana-4547	275	43	%	%	NOUN
cana-4547	275	44	)	)	PUNCT
cana-4547	275	45	,	,	PUNCT
cana-4547	275	46	and	and	CCONJ
cana-4547	275	47	method	method	NOUN
cana-4547	275	48	[	[	X
cana-4547	275	49	25	25	NUM
cana-4547	275	50	]	]	PUNCT
cana-4547	275	51	(	(	PUNCT
cana-4547	275	52	9.0	9.0	NUM
cana-4547	275	53	%	%	NOUN
cana-4547	275	54	)	)	PUNCT
cana-4547	275	55	and	and	CCONJ
cana-4547	275	56	makes	make	VERB
cana-4547	275	57	it	it	PRON
cana-4547	275	58	resistant	resistant	ADJ
cana-4547	275	59	to	to	ADP
cana-4547	275	60	pgd	pgd	PROPN
cana-4547	275	61	,	,	PUNCT
cana-4547	275	62	fgsm	fgsm	NOUN
cana-4547	275	63	,	,	PUNCT
cana-4547	275	64	and	and	CCONJ
cana-4547	275	65	gan	gin	VERB
cana-4547	275	66	-	-	PUNCT
cana-4547	275	67	based	base	VERB
cana-4547	275	68	adversarial	adversarial	ADJ
cana-4547	275	69	attacks	attack	NOUN
cana-4547	275	70	.	.	PUNCT
cana-4547	276	1	under	under	ADP
cana-4547	276	2	the	the	DET
cana-4547	276	3	zero	zero	NUM
cana-4547	276	4	-	-	PUNCT
cana-4547	276	5	trust	trust	NOUN
cana-4547	276	6	verification	verification	NOUN
cana-4547	276	7	mechanism	mechanism	NOUN
cana-4547	276	8	(	(	PUNCT
cana-4547	276	9	ezv	ezv	NOUN
cana-4547	276	10	-	-	PUNCT
cana-4547	276	11	model	model	NOUN
cana-4547	276	12	)	)	PUNCT
cana-4547	276	13	,	,	PUNCT
cana-4547	276	14	this	this	PRON
cana-4547	276	15	results	result	VERB
cana-4547	276	16	in	in	ADP
cana-4547	276	17	a	a	DET
cana-4547	276	18	session	session	NOUN
cana-4547	276	19	hijacking	hijacking	NOUN
cana-4547	276	20	detection	detection	NOUN
cana-4547	276	21	rate	rate	NOUN
cana-4547	276	22	of	of	ADP
cana-4547	276	23	99.2	99.2	NUM
cana-4547	276	24	%	%	NOUN
cana-4547	276	25	;	;	PUNCT
cana-4547	276	26	therefore	therefore	ADV
cana-4547	276	27	,	,	PUNCT
cana-4547	276	28	there	there	PRON
cana-4547	276	29	will	will	AUX
cana-4547	276	30	be	be	AUX
cana-4547	276	31	fewer	few	ADJ
cana-4547	276	32	unauthorized	unauthorized	ADJ
cana-4547	276	33	attempts	attempt	NOUN
cana-4547	276	34	.	.	PUNCT
cana-4547	277	1	in	in	ADP
cana-4547	277	2	addition	addition	NOUN
cana-4547	277	3	,	,	PUNCT
cana-4547	277	4	the	the	DET
cana-4547	277	5	frr	frr	NOUN
cana-4547	277	6	is	be	AUX
cana-4547	277	7	narrowed	narrow	VERB
cana-4547	277	8	down	down	ADP
cana-4547	277	9	to	to	ADP
cana-4547	277	10	1.3	1.3	NUM
cana-4547	277	11	%	%	NOUN
cana-4547	277	12	,	,	PUNCT
cana-4547	277	13	which	which	PRON
cana-4547	277	14	means	mean	VERB
cana-4547	277	15	that	that	SCONJ
cana-4547	277	16	very	very	ADV
cana-4547	277	17	few	few	ADJ
cana-4547	277	18	genuine	genuine	ADJ
cana-4547	277	19	users	user	NOUN
cana-4547	277	20	will	will	AUX
cana-4547	277	21	be	be	AUX
cana-4547	277	22	denied	deny	VERB
cana-4547	277	23	access	access	NOUN
cana-4547	277	24	,	,	PUNCT
cana-4547	277	25	compared	compare	VERB
cana-4547	277	26	to	to	ADP
cana-4547	277	27	frrs	frrs	ADP
cana-4547	277	28	of	of	ADP
cana-4547	277	29	3.5	3.5	NUM
cana-4547	277	30	%	%	NOUN
cana-4547	277	31	(	(	PUNCT
cana-4547	277	32	method	method	NOUN
cana-4547	277	33	[	[	X
cana-4547	277	34	3	3	NUM
cana-4547	277	35	]	]	NUM
cana-4547	277	36	)	)	PUNCT
cana-4547	277	37	,	,	PUNCT
cana-4547	277	38	4.5	4.5	NUM
cana-4547	277	39	%	%	NOUN
cana-4547	277	40	(	(	PUNCT
cana-4547	277	41	method	method	NOUN
cana-4547	277	42	[	[	X
cana-4547	277	43	8	8	NUM
cana-4547	277	44	]	]	NUM
cana-4547	277	45	)	)	PUNCT
cana-4547	277	46	,	,	PUNCT
cana-4547	277	47	and	and	CCONJ
cana-4547	277	48	5.8	5.8	NUM
cana-4547	277	49	%	%	NOUN
cana-4547	277	50	(	(	PUNCT
cana-4547	277	51	method	method	NOUN
cana-4547	277	52	[	[	X
cana-4547	277	53	25	25	NUM
cana-4547	277	54	]	]	PUNCT
cana-4547	277	55	)	)	PUNCT
cana-4547	277	56	.	.	PUNCT
cana-4547	278	1	this	this	PRON
cana-4547	278	2	ensures	ensure	VERB
cana-4547	278	3	its	its	PRON
cana-4547	278	4	practical	practical	ADJ
cana-4547	278	5	application	application	NOUN
cana-4547	278	6	,	,	PUNCT
cana-4547	278	7	as	as	SCONJ
cana-4547	278	8	real	real	ADJ
cana-4547	278	9	-	-	PUNCT
cana-4547	278	10	time	time	NOUN
cana-4547	278	11	processing	processing	NOUN
cana-4547	278	12	efficiency	efficiency	NOUN
cana-4547	278	13	of	of	ADP
cana-4547	278	14	26	26	NUM
cana-4547	278	15	milliseconds	millisecond	NOUN
cana-4547	278	16	per	per	ADP
cana-4547	278	17	authentication	authentication	NOUN
cana-4547	278	18	request	request	NOUN
cana-4547	278	19	makes	make	VERB
cana-4547	278	20	it	it	PRON
cana-4547	278	21	30	30	NUM
cana-4547	278	22	%	%	NOUN
cana-4547	278	23	faster	fast	ADV
cana-4547	278	24	than	than	ADP
cana-4547	278	25	existing	existing	ADJ
cana-4547	278	26	methods	method	NOUN
cana-4547	278	27	.	.	PUNCT
cana-4547	279	1	these	these	DET
cana-4547	279	2	results	result	NOUN
cana-4547	279	3	indicate	indicate	VERB
cana-4547	279	4	that	that	SCONJ
cana-4547	279	5	the	the	DET
cana-4547	279	6	proposed	propose	VERB
cana-4547	279	7	biometric	biometric	ADJ
cana-4547	279	8	authentication	authentication	NOUN
cana-4547	279	9	system	system	NOUN
cana-4547	279	10	provides	provide	VERB
cana-4547	279	11	the	the	DET
cana-4547	279	12	best	good	ADJ
cana-4547	279	13	balance	balance	NOUN
cana-4547	279	14	between	between	ADP
cana-4547	279	15	security	security	NOUN
cana-4547	279	16	,	,	PUNCT
cana-4547	279	17	accuracy	accuracy	NOUN
cana-4547	279	18	,	,	PUNCT
cana-4547	279	19	privacy	privacy	NOUN
cana-4547	279	20	,	,	PUNCT
cana-4547	279	21	and	and	CCONJ
cana-4547	279	22	computation	computation	NOUN
cana-4547	279	23	efficiency	efficiency	NOUN
cana-4547	279	24	for	for	ADP
cana-4547	279	25	financial	financial	ADJ
cana-4547	279	26	transactions	transaction	NOUN
cana-4547	279	27	,	,	PUNCT
cana-4547	279	28	border	border	NOUN
cana-4547	279	29	control	control	NOUN
cana-4547	279	30	,	,	PUNCT
cana-4547	279	31	enterprise	enterprise	NOUN
cana-4547	279	32	access	access	NOUN
cana-4547	279	33	,	,	PUNCT
cana-4547	279	34	and	and	CCONJ
cana-4547	279	35	national	national	ADJ
cana-4547	279	36	security	security	NOUN
cana-4547	279	37	applications	application	NOUN
cana-4547	279	38	.	.	PUNCT
cana-4547	280	1	while	while	SCONJ
cana-4547	280	2	the	the	DET
cana-4547	280	3	architecture	architecture	NOUN
cana-4547	280	4	demonstrated	demonstrate	VERB
cana-4547	280	5	great	great	ADJ
cana-4547	280	6	performance	performance	NOUN
cana-4547	280	7	,	,	PUNCT
cana-4547	280	8	one	one	PRON
cana-4547	280	9	could	could	AUX
cana-4547	280	10	further	far	ADV
cana-4547	280	11	investigate	investigate	VERB
cana-4547	280	12	the	the	DET
cana-4547	280	13	following	follow	VERB
cana-4547	280	14	areas	area	NOUN
cana-4547	280	15	in	in	ADP
cana-4547	280	16	future	future	ADJ
cana-4547	280	17	works	work	NOUN
cana-4547	280	18	for	for	ADP
cana-4547	280	19	better	well	ADJ
cana-4547	280	20	biometric	biometric	ADJ
cana-4547	280	21	security	security	NOUN
cana-4547	280	22	.	.	PUNCT
cana-4547	281	1	first,-extension	first,-extension	NOUN
cana-4547	281	2	for	for	ADP
cana-4547	281	3	multi	multi	ADJ
cana-4547	281	4	-	-	ADJ
cana-4547	281	5	modal	modal	ADJ
cana-4547	281	6	inputs	input	NOUN
cana-4547	281	7	with	with	ADP
cana-4547	281	8	more	more	ADJ
cana-4547	281	9	types	type	NOUN
cana-4547	281	10	of	of	ADP
cana-4547	281	11	biometrics	biometric	NOUN
cana-4547	281	12	,	,	PUNCT
cana-4547	281	13	such	such	ADJ
cana-4547	281	14	as	as	ADP
cana-4547	281	15	iris	iris	NOUN
cana-4547	281	16	recognition	recognition	NOUN
cana-4547	281	17	,	,	PUNCT
cana-4547	281	18	ecg	ecg	PROPN
cana-4547	281	19	signals	signal	NOUN
cana-4547	281	20	,	,	PUNCT
cana-4547	281	21	and	and	CCONJ
cana-4547	281	22	palm	palm	NOUN
cana-4547	281	23	vein	vein	NOUN
cana-4547	281	24	patterns	pattern	NOUN
cana-4547	281	25	,	,	PUNCT
cana-4547	281	26	could	could	AUX
cana-4547	281	27	make	make	VERB
cana-4547	281	28	the	the	DET
cana-4547	281	29	authentication	authentication	NOUN
cana-4547	281	30	process	process	NOUN
cana-4547	281	31	stronger	strong	ADJ
cana-4547	281	32	and	and	CCONJ
cana-4547	281	33	less	less	ADV
cana-4547	281	34	susceptible	susceptible	ADJ
cana-4547	281	35	to	to	ADP
cana-4547	281	36	biometric	biometric	ADJ
cana-4547	281	37	forgeries	forgery	NOUN
cana-4547	281	38	.	.	PUNCT
cana-4547	282	1	second	second	ADJ
cana-4547	282	2	,	,	PUNCT
cana-4547	282	3	an	an	DET
cana-4547	282	4	inclusion	inclusion	NOUN
cana-4547	282	5	of	of	ADP
cana-4547	282	6	self	self	NOUN
cana-4547	282	7	-	-	PUNCT
cana-4547	282	8	supervised	supervise	VERB
cana-4547	282	9	learning	learning	NOUN
cana-4547	282	10	techniques	technique	NOUN
cana-4547	282	11	may	may	AUX
cana-4547	282	12	significantly	significantly	ADV
cana-4547	282	13	improve	improve	VERB
cana-4547	282	14	the	the	DET
cana-4547	282	15	adaptability	adaptability	NOUN
cana-4547	282	16	of	of	ADP
cana-4547	282	17	the	the	DET
cana-4547	282	18	system	system	NOUN
cana-4547	282	19	to	to	ADP
cana-4547	282	20	unseen	unseen	ADJ
cana-4547	282	21	biometric	biometric	ADJ
cana-4547	282	22	variations	variation	NOUN
cana-4547	282	23	,	,	PUNCT
cana-4547	282	24	thereby	thereby	ADV
cana-4547	282	25	making	make	VERB
cana-4547	282	26	it	it	PRON
cana-4547	282	27	even	even	ADV
cana-4547	282	28	less	less	ADV
cana-4547	282	29	reliant	reliant	ADJ
cana-4547	282	30	on	on	ADP
cana-4547	282	31	very	very	ADV
cana-4547	282	32	big	big	ADJ
cana-4547	282	33	labeled	label	VERB
cana-4547	282	34	datasets	dataset	NOUN
cana-4547	282	35	.	.	PUNCT
cana-4547	283	1	improvements	improvement	NOUN
cana-4547	283	2	in	in	ADP
cana-4547	283	3	differential	differential	ADJ
cana-4547	283	4	privacy	privacy	NOUN
cana-4547	283	5	mechanisms	mechanism	NOUN
cana-4547	283	6	could	could	AUX
cana-4547	283	7	achieve	achieve	VERB
cana-4547	283	8	even	even	ADV
cana-4547	283	9	lower	low	ADJ
cana-4547	283	10	privacy	privacy	NOUN
cana-4547	283	11	leakage	leakage	NOUN
cana-4547	283	12	risks	risk	NOUN
cana-4547	283	13	without	without	ADP
cana-4547	283	14	sacrificing	sacrifice	VERB
cana-4547	283	15	authentication	authentication	NOUN
cana-4547	283	16	performance	performance	NOUN
cana-4547	283	17	.	.	PUNCT
cana-4547	284	1	this	this	PRON
cana-4547	284	2	would	would	AUX
cana-4547	284	3	be	be	AUX
cana-4547	284	4	particularly	particularly	ADV
cana-4547	284	5	noticeable	noticeable	ADJ
cana-4547	284	6	in	in	ADP
cana-4547	284	7	federated	federated	ADJ
cana-4547	284	8	learning	learning	NOUN
cana-4547	284	9	environments	environment	NOUN
cana-4547	284	10	.	.	PUNCT
cana-4547	285	1	lightweight	lightweight	ADJ
cana-4547	285	2	transformer	transformer	NOUN
cana-4547	285	3	architecture	architecture	NOUN
cana-4547	285	4	optimizations	optimization	NOUN
cana-4547	285	5	to	to	PART
cana-4547	285	6	edge	edge	VERB
cana-4547	285	7	devices	device	NOUN
cana-4547	285	8	and	and	CCONJ
cana-4547	285	9	iot	iot	NOUN
cana-4547	285	10	-	-	PUNCT
cana-4547	285	11	based	base	VERB
cana-4547	285	12	biometric	biometric	ADJ
cana-4547	285	13	authentication	authentication	NOUN
cana-4547	285	14	would	would	AUX
cana-4547	285	15	enable	enable	VERB
cana-4547	285	16	real	real	ADJ
cana-4547	285	17	-	-	PUNCT
cana-4547	285	18	time	time	NOUN
cana-4547	285	19	authentication	authentication	NOUN
cana-4547	285	20	on	on	ADP
cana-4547	285	21	mobile	mobile	ADJ
cana-4547	285	22	and	and	CCONJ
cana-4547	285	23	embedded	embed	VERB
cana-4547	285	24	platforms	platform	NOUN
cana-4547	285	25	.	.	PUNCT
cana-4547	286	1	lastly	lastly	ADV
cana-4547	286	2	,	,	PUNCT
cana-4547	286	3	inclusion	inclusion	NOUN
cana-4547	286	4	of	of	ADP
cana-4547	286	5	quantum	quantum	NOUN
cana-4547	286	6	-	-	PUNCT
cana-4547	286	7	resistant	resistant	ADJ
cana-4547	286	8	biometric	biometric	ADJ
cana-4547	286	9	cryptography	cryptography	NOUN
cana-4547	286	10	would	would	AUX
cana-4547	286	11	add	add	VERB
cana-4547	286	12	robustness	robustness	NOUN
cana-4547	286	13	against	against	ADP
cana-4547	286	14	upcoming	upcoming	ADJ
cana-4547	286	15	threats	threat	NOUN
cana-4547	286	16	from	from	ADP
cana-4547	286	17	quantum	quantum	ADJ
cana-4547	286	18	computing	computing	NOUN
cana-4547	286	19	.	.	PUNCT
cana-4547	287	1	ultimately	ultimately	ADV
cana-4547	287	2	,	,	PUNCT
cana-4547	287	3	the	the	DET
cana-4547	287	4	study	study	NOUN
cana-4547	287	5	can	can	AUX
cana-4547	287	6	be	be	AUX
cana-4547	287	7	extended	extend	VERB
cana-4547	287	8	to	to	ADP
cana-4547	287	9	continuous	continuous	ADJ
cana-4547	287	10	multimodal	multimodal	NOUN
cana-4547	287	11	authentication	authentication	NOUN
cana-4547	287	12	in	in	ADP
cana-4547	287	13	an	an	DET
cana-4547	287	14	environment	environment	NOUN
cana-4547	287	15	with	with	ADP
cana-4547	287	16	vr	vr	PROPN
cana-4547	287	17	/	/	SYM
cana-4547	287	18	ar	ar	PROPN
cana-4547	287	19	,	,	PUNCT
cana-4547	287	20	smart	smart	ADJ
cana-4547	287	21	city	city	NOUN
cana-4547	287	22	infrastructures	infrastructure	NOUN
cana-4547	287	23	,	,	PUNCT
cana-4547	287	24	and	and	CCONJ
cana-4547	287	25	intelligent	intelligent	ADJ
cana-4547	287	26	surveillance	surveillance	NOUN
cana-4547	287	27	systems	system	NOUN
cana-4547	287	28	,	,	PUNCT
cana-4547	287	29	opening	open	VERB
cana-4547	287	30	new	new	ADJ
cana-4547	287	31	avenues	avenue	NOUN
cana-4547	287	32	for	for	ADP
cana-4547	287	33	seamless	seamless	ADJ
cana-4547	287	34	but	but	CCONJ
cana-4547	287	35	highly	highly	ADV
cana-4547	287	36	secure	secure	ADJ
cana-4547	287	37	identity	identity	NOUN
cana-4547	287	38	verification	verification	NOUN
cana-4547	287	39	using	use	VERB
cana-4547	287	40	nextgeneration	nextgeneration	NOUN
cana-4547	287	41	digital	digital	ADJ
cana-4547	287	42	ecosystems	ecosystem	NOUN
cana-4547	287	43	.	.	PUNCT
cana-4547	288	1	communications	communication	NOUN
cana-4547	288	2	on	on	ADP
cana-4547	288	3	applied	apply	VERB
cana-4547	288	4	nonlinear	nonlinear	ADJ
cana-4547	288	5	analysis	analysis	NOUN
cana-4547	288	6	issn	issn	NOUN
cana-4547	288	7	:	:	PUNCT
cana-4547	288	8	1074	1074	NUM
cana-4547	288	9	-	-	PUNCT
cana-4547	288	10	133x	133x	NUM
cana-4547	288	11	vol	vol	NOUN
cana-4547	288	12	32	32	NUM
cana-4547	288	13	no	no	NOUN
cana-4547	288	14	.	.	PUNCT
cana-4547	289	1	9s	9s	NUM
cana-4547	289	2	(	(	PUNCT
cana-4547	289	3	2025	2025	NUM
cana-4547	289	4	)	)	PUNCT
cana-4547	289	5	2676	2676	NUM
cana-4547	289	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	289	7	6	6	NUM
cana-4547	289	8	.	.	PUNCT
cana-4547	290	1	references	reference	NOUN
cana-4547	290	2	[	[	X
cana-4547	290	3	1	1	NUM
cana-4547	290	4	]	]	X
cana-4547	290	5	salturk	salturk	NOUN
cana-4547	290	6	,	,	PUNCT
cana-4547	290	7	s.	s.	PROPN
cana-4547	290	8	,	,	PUNCT
cana-4547	290	9	kahraman	kahraman	NOUN
cana-4547	290	10	,	,	PUNCT
cana-4547	290	11	n.	n.	NOUN
cana-4547	290	12	deep	deep	ADJ
cana-4547	290	13	learning	learning	NOUN
cana-4547	290	14	-	-	PUNCT
cana-4547	290	15	powered	power	VERB
cana-4547	290	16	multimodal	multimodal	ADJ
cana-4547	290	17	biometric	biometric	ADJ
cana-4547	290	18	authentication	authentication	NOUN
cana-4547	290	19	:	:	PUNCT
cana-4547	290	20	integrating	integrate	VERB
cana-4547	290	21	dynamic	dynamic	ADJ
cana-4547	290	22	signatures	signature	NOUN
cana-4547	290	23	and	and	CCONJ
cana-4547	290	24	facial	facial	ADJ
cana-4547	290	25	data	datum	NOUN
cana-4547	290	26	for	for	ADP
cana-4547	290	27	enhanced	enhance	VERB
cana-4547	290	28	online	online	ADJ
cana-4547	290	29	security	security	NOUN
cana-4547	290	30	.	.	PUNCT
cana-4547	291	1	neural	neural	ADJ
cana-4547	291	2	comput	comput	PROPN
cana-4547	291	3	&	&	CCONJ
cana-4547	291	4	applic	applic	PROPN
cana-4547	291	5	36	36	NUM
cana-4547	291	6	,	,	PUNCT
cana-4547	291	7	11311–11322	11311–11322	NUM
cana-4547	291	8	(	(	PUNCT
cana-4547	291	9	2024	2024	NUM
cana-4547	291	10	)	)	PUNCT
cana-4547	291	11	.	.	PUNCT
cana-4547	292	1	https://doi.org/10.1007/s00521-024-09690-2	https://doi.org/10.1007/s00521-024-09690-2	PUNCT
cana-4547	293	1	[	[	X
cana-4547	293	2	2	2	NUM
cana-4547	293	3	]	]	X
cana-4547	293	4	garg	garg	NOUN
cana-4547	293	5	,	,	PUNCT
cana-4547	293	6	m.	m.	NOUN
cana-4547	293	7	,	,	PUNCT
cana-4547	293	8	goel	goel	PROPN
cana-4547	293	9	,	,	PUNCT
cana-4547	293	10	a.	a.	NOUN
cana-4547	293	11	a	a	DET
cana-4547	293	12	comprehensive	comprehensive	ADJ
cana-4547	293	13	approach	approach	NOUN
cana-4547	293	14	for	for	ADP
cana-4547	293	15	mitigating	mitigate	VERB
cana-4547	293	16	impersonation	impersonation	NOUN
cana-4547	293	17	in	in	ADP
cana-4547	293	18	online	online	ADJ
cana-4547	293	19	assessment	assessment	NOUN
cana-4547	293	20	:	:	PUNCT
cana-4547	293	21	integrity	integrity	NOUN
cana-4547	293	22	policy	policy	NOUN
cana-4547	293	23	and	and	CCONJ
cana-4547	293	24	random	random	ADJ
cana-4547	293	25	authentication	authentication	NOUN
cana-4547	293	26	.	.	PUNCT
cana-4547	294	1	int	int	NOUN
cana-4547	294	2	.	.	PUNCT
cana-4547	295	1	j.	j.	PROPN
cana-4547	295	2	inf	inf	PROPN
cana-4547	295	3	.	.	PROPN
cana-4547	295	4	secur	secur	PROPN
cana-4547	295	5	.	.	PUNCT
cana-4547	296	1	24	24	NUM
cana-4547	296	2	,	,	PUNCT
cana-4547	296	3	1	1	NUM
cana-4547	296	4	(	(	PUNCT
cana-4547	296	5	2025	2025	NUM
cana-4547	296	6	)	)	PUNCT
cana-4547	296	7	.	.	PUNCT
cana-4547	297	1	https://doi.org/10.1007/s10207-024-00931-y	https://doi.org/10.1007/s10207-024-00931-y	PROPN
cana-4547	298	1	[	[	X
cana-4547	298	2	3	3	NUM
cana-4547	298	3	]	]	X
cana-4547	298	4	alzoubi	alzoubi	PROPN
cana-4547	298	5	,	,	PUNCT
cana-4547	298	6	y.i	y.i	PROPN
cana-4547	298	7	.	.	PROPN
cana-4547	298	8	,	,	PUNCT
cana-4547	298	9	mishra	mishra	PROPN
cana-4547	298	10	,	,	PUNCT
cana-4547	298	11	a.	a.	PROPN
cana-4547	298	12	&	&	CCONJ
cana-4547	298	13	topcu	topcu	PROPN
cana-4547	298	14	,	,	PUNCT
cana-4547	298	15	a.e	a.e	PROPN
cana-4547	298	16	.	.	PROPN
cana-4547	298	17	research	research	NOUN
cana-4547	298	18	trends	trend	NOUN
cana-4547	298	19	in	in	ADP
cana-4547	298	20	deep	deep	ADJ
cana-4547	298	21	learning	learning	NOUN
cana-4547	298	22	and	and	CCONJ
cana-4547	298	23	machine	machine	NOUN
cana-4547	298	24	learning	learn	VERB
cana-4547	298	25	for	for	ADP
cana-4547	298	26	cloud	cloud	NOUN
cana-4547	298	27	computing	compute	VERB
cana-4547	298	28	security	security	NOUN
cana-4547	298	29	.	.	PUNCT
cana-4547	299	1	artif	artif	PROPN
cana-4547	299	2	intell	intell	PROPN
cana-4547	299	3	rev	rev	VERB
cana-4547	299	4	57	57	NUM
cana-4547	299	5	,	,	PUNCT
cana-4547	299	6	132	132	NUM
cana-4547	299	7	(	(	PUNCT
cana-4547	299	8	2024	2024	NUM
cana-4547	299	9	)	)	PUNCT
cana-4547	299	10	.	.	PUNCT
cana-4547	300	1	https://doi.org/10.1007/s10462024-10776-5	https://doi.org/10.1007/s10462024-10776-5	PROPN
cana-4547	300	2	[	[	X
cana-4547	300	3	4	4	NUM
cana-4547	300	4	]	]	X
cana-4547	300	5	el	el	NOUN
cana-4547	300	6	-	-	NOUN
cana-4547	300	7	sofany	sofany	NOUN
cana-4547	300	8	,	,	PUNCT
cana-4547	300	9	h.	h.	PROPN
cana-4547	300	10	,	,	PUNCT
cana-4547	300	11	el	el	PROPN
cana-4547	300	12	-	-	PUNCT
cana-4547	300	13	seoud	seoud	NOUN
cana-4547	300	14	,	,	PUNCT
cana-4547	300	15	s.a	s.a	PROPN
cana-4547	300	16	.	.	PROPN
cana-4547	300	17	,	,	PUNCT
cana-4547	300	18	karam	karam	PROPN
cana-4547	300	19	,	,	PUNCT
cana-4547	300	20	o.h	o.h	PROPN
cana-4547	300	21	.	.	PROPN
cana-4547	300	22	et	et	PROPN
cana-4547	300	23	al	al	PROPN
cana-4547	300	24	.	.	PUNCT
cana-4547	300	25	using	use	VERB
cana-4547	300	26	machine	machine	NOUN
cana-4547	300	27	learning	learn	VERB
cana-4547	300	28	algorithms	algorithm	NOUN
cana-4547	300	29	to	to	PART
cana-4547	300	30	enhance	enhance	VERB
cana-4547	300	31	iot	iot	NOUN
cana-4547	300	32	system	system	NOUN
cana-4547	300	33	security	security	NOUN
cana-4547	300	34	.	.	PUNCT
cana-4547	301	1	sci	sci	PROPN
cana-4547	301	2	rep	rep	PROPN
cana-4547	301	3	14	14	NUM
cana-4547	301	4	,	,	PUNCT
cana-4547	301	5	12077	12077	NUM
cana-4547	301	6	(	(	PUNCT
cana-4547	301	7	2024	2024	NUM
cana-4547	301	8	)	)	PUNCT
cana-4547	301	9	.	.	PUNCT
cana-4547	302	1	https://doi.org/10.1038/s41598-024-62861-y	https://doi.org/10.1038/s41598-024-62861-y	NOUN
cana-4547	303	1	[	[	X
cana-4547	303	2	5	5	NUM
cana-4547	303	3	]	]	SYM
cana-4547	303	4	altun	altun	NOUN
cana-4547	303	5	,	,	PUNCT
cana-4547	303	6	u.	u.	PROPN
cana-4547	303	7	,	,	PUNCT
cana-4547	303	8	basar	basar	PROPN
cana-4547	303	9	,	,	PUNCT
cana-4547	303	10	e.	e.	PROPN
cana-4547	303	11	machine	machine	PROPN
cana-4547	303	12	learning	learning	PROPN
cana-4547	303	13	-	-	PUNCT
cana-4547	303	14	based	base	VERB
cana-4547	303	15	phy	phy	NOUN
cana-4547	303	16	-	-	PUNCT
cana-4547	303	17	authentication	authentication	NOUN
cana-4547	303	18	without	without	ADP
cana-4547	303	19	prior	prior	ADJ
cana-4547	303	20	attacker	attacker	ADJ
cana-4547	303	21	information	information	NOUN
cana-4547	303	22	for	for	ADP
cana-4547	303	23	wireless	wireless	ADJ
cana-4547	303	24	multiple	multiple	ADJ
cana-4547	303	25	access	access	NOUN
cana-4547	303	26	channels	channel	NOUN
cana-4547	303	27	.	.	PUNCT
cana-4547	304	1	wireless	wireless	ADJ
cana-4547	304	2	pers	per	NOUN
cana-4547	304	3	commun	commun	VERB
cana-4547	304	4	135	135	NUM
cana-4547	304	5	,	,	PUNCT
cana-4547	304	6	1383–1396	1383–1396	NUM
cana-4547	304	7	(	(	PUNCT
cana-4547	304	8	2024	2024	NUM
cana-4547	304	9	)	)	PUNCT
cana-4547	304	10	.	.	PUNCT
cana-4547	305	1	https://doi.org/10.1007/s11277-024-11087-2	https://doi.org/10.1007/s11277-024-11087-2	NUM
cana-4547	306	1	[	[	X
cana-4547	306	2	6	6	NUM
cana-4547	306	3	]	]	SYM
cana-4547	306	4	min	min	PROPN
cana-4547	306	5	,	,	PUNCT
cana-4547	306	6	m.	m.	NOUN
cana-4547	306	7	,	,	PUNCT
cana-4547	306	8	lee	lee	PROPN
cana-4547	306	9	,	,	PUNCT
cana-4547	306	10	d.a	d.a	PROPN
cana-4547	306	11	.	.	NOUN
cana-4547	306	12	illegal	illegal	ADJ
cana-4547	306	13	online	online	ADJ
cana-4547	306	14	gambling	gambling	NOUN
cana-4547	306	15	site	site	NOUN
cana-4547	306	16	detection	detection	NOUN
cana-4547	306	17	using	use	VERB
cana-4547	306	18	multiple	multiple	ADJ
cana-4547	306	19	resource	resource	NOUN
cana-4547	306	20	-	-	PUNCT
cana-4547	306	21	oriented	orient	VERB
cana-4547	306	22	machine	machine	NOUN
cana-4547	306	23	learning	learning	NOUN
cana-4547	306	24	.	.	PUNCT
cana-4547	307	1	j	j	PROPN
cana-4547	307	2	gambl	gambl	NOUN
cana-4547	307	3	stud	stud	NOUN
cana-4547	307	4	40	40	NUM
cana-4547	307	5	,	,	PUNCT
cana-4547	307	6	2237–2255	2237–2255	NUM
cana-4547	307	7	(	(	PUNCT
cana-4547	307	8	2024	2024	NUM
cana-4547	307	9	)	)	PUNCT
cana-4547	307	10	.	.	PUNCT
cana-4547	308	1	https://doi.org/10.1007/s10899-02410337-z	https://doi.org/10.1007/s10899-02410337-z	PROPN
cana-4547	309	1	[	[	X
cana-4547	309	2	7	7	X
cana-4547	309	3	]	]	X
cana-4547	309	4	bashir	bashir	NOUN
cana-4547	309	5	,	,	PUNCT
cana-4547	309	6	s.	s.	PROPN
cana-4547	309	7	,	,	PUNCT
cana-4547	309	8	ayub	ayub	PROPN
cana-4547	309	9	,	,	PUNCT
cana-4547	309	10	z.	z.	PROPN
cana-4547	309	11	&	&	CCONJ
cana-4547	309	12	banday	banday	PROPN
cana-4547	309	13	,	,	PUNCT
cana-4547	309	14	m.t	m.t	PROPN
cana-4547	309	15	.	.	PROPN
cana-4547	309	16	cloud	cloud	PROPN
cana-4547	309	17	data	datum	NOUN
cana-4547	309	18	security	security	NOUN
cana-4547	309	19	for	for	ADP
cana-4547	309	20	distributed	distribute	VERB
cana-4547	309	21	embedded	embed	VERB
cana-4547	309	22	systems	system	NOUN
cana-4547	309	23	using	use	VERB
cana-4547	309	24	machine	machine	NOUN
cana-4547	309	25	learning	learning	NOUN
cana-4547	309	26	and	and	CCONJ
cana-4547	309	27	cryptography	cryptography	NOUN
cana-4547	309	28	.	.	PUNCT
cana-4547	310	1	int	int	NOUN
cana-4547	310	2	.	.	PUNCT
cana-4547	311	1	j.	j.	PROPN
cana-4547	311	2	inf	inf	PROPN
cana-4547	311	3	.	.	PUNCT
cana-4547	311	4	tecnol	tecnol	PROPN
cana-4547	311	5	.	.	PUNCT
cana-4547	312	1	(	(	PUNCT
cana-4547	312	2	2024	2024	NUM
cana-4547	312	3	)	)	PUNCT
cana-4547	312	4	.	.	PUNCT
cana-4547	313	1	https://doi.org/10.1007/s41870024-01892-0	https://doi.org/10.1007/s41870024-01892-0	NOUN
cana-4547	314	1	[	[	X
cana-4547	314	2	8	8	NUM
cana-4547	314	3	]	]	X
cana-4547	314	4	sheik	sheik	PROPN
cana-4547	314	5	,	,	PUNCT
cana-4547	314	6	s.a	s.a	PROPN
cana-4547	314	7	.	.	PROPN
cana-4547	314	8	,	,	PUNCT
cana-4547	314	9	durai	durai	PROPN
cana-4547	314	10	,	,	PUNCT
cana-4547	314	11	s.	s.	PROPN
cana-4547	314	12	cryptography	cryptography	NOUN
cana-4547	314	13	with	with	ADP
cana-4547	314	14	optimal	optimal	ADJ
cana-4547	314	15	deep	deep	ADJ
cana-4547	314	16	learning	learning	NOUN
cana-4547	314	17	-	-	PUNCT
cana-4547	314	18	based	base	VERB
cana-4547	314	19	authentication	authentication	NOUN
cana-4547	314	20	scheme	scheme	NOUN
cana-4547	314	21	for	for	ADP
cana-4547	314	22	preserving	preserve	VERB
cana-4547	314	23	anonymity	anonymity	NOUN
cana-4547	314	24	in	in	ADP
cana-4547	314	25	telecare	telecare	PROPN
cana-4547	314	26	medical	medical	ADJ
cana-4547	314	27	information	information	NOUN
cana-4547	314	28	system	system	NOUN
cana-4547	314	29	.	.	PUNCT
cana-4547	315	1	multimed	multime	VERB
cana-4547	315	2	tools	tool	NOUN
cana-4547	315	3	appl	appl	NOUN
cana-4547	315	4	(	(	PUNCT
cana-4547	315	5	2024	2024	NUM
cana-4547	315	6	)	)	PUNCT
cana-4547	315	7	.	.	PUNCT
cana-4547	316	1	https://doi.org/10.1007/s11042-024-19194-9	https://doi.org/10.1007/s11042-024-19194-9	NUM
cana-4547	317	1	[	[	X
cana-4547	317	2	9	9	NUM
cana-4547	317	3	]	]	X
cana-4547	317	4	khan	khan	PROPN
cana-4547	317	5	,	,	PUNCT
cana-4547	317	6	h.u	h.u	PROPN
cana-4547	317	7	.	.	PROPN
cana-4547	317	8	,	,	PUNCT
cana-4547	317	9	sohail	sohail	PROPN
cana-4547	317	10	,	,	PUNCT
cana-4547	317	11	m.	m.	NOUN
cana-4547	317	12	,	,	PUNCT
cana-4547	317	13	nazir	nazir	PROPN
cana-4547	317	14	,	,	PUNCT
cana-4547	318	1	s.	s.	PROPN
cana-4547	318	2	et	et	PROPN
cana-4547	318	3	al	al	PROPN
cana-4547	318	4	.	.	PROPN
cana-4547	318	5	role	role	NOUN
cana-4547	318	6	of	of	ADP
cana-4547	318	7	authentication	authentication	NOUN
cana-4547	318	8	factors	factor	NOUN
cana-4547	318	9	in	in	ADP
cana-4547	318	10	fin	fin	NOUN
cana-4547	318	11	-	-	PUNCT
cana-4547	318	12	tech	tech	NOUN
cana-4547	318	13	mobile	mobile	NOUN
cana-4547	318	14	transaction	transaction	NOUN
cana-4547	318	15	security	security	NOUN
cana-4547	318	16	.	.	PUNCT
cana-4547	319	1	j	j	PROPN
cana-4547	319	2	big	big	ADJ
cana-4547	319	3	data	datum	NOUN
cana-4547	319	4	10	10	NUM
cana-4547	319	5	,	,	PUNCT
cana-4547	319	6	138	138	NUM
cana-4547	319	7	(	(	PUNCT
cana-4547	319	8	2023	2023	NUM
cana-4547	319	9	)	)	PUNCT
cana-4547	319	10	.	.	PUNCT
cana-4547	320	1	https://doi.org/10.1186/s40537-023-00807-3	https://doi.org/10.1186/s40537-023-00807-3	PUNCT
cana-4547	321	1	[	[	X
cana-4547	321	2	10	10	NUM
cana-4547	321	3	]	]	X
cana-4547	321	4	hussain	hussain	PROPN
cana-4547	321	5	,	,	PUNCT
cana-4547	321	6	m.f	m.f	PROPN
cana-4547	321	7	.	.	PROPN
cana-4547	321	8	,	,	PUNCT
cana-4547	321	9	hasan	hasan	PROPN
cana-4547	321	10	,	,	PUNCT
cana-4547	321	11	s.s	s.s	PROPN
cana-4547	321	12	.	.	PROPN
cana-4547	321	13	&	&	CCONJ
cana-4547	321	14	rauf	rauf	PROPN
cana-4547	321	15	,	,	PUNCT
cana-4547	321	16	h.	h.	PROPN
cana-4547	321	17	cloud	cloud	PROPN
cana-4547	321	18	security	security	NOUN
cana-4547	321	19	modeling	modeling	NOUN
cana-4547	321	20	:	:	PUNCT
cana-4547	321	21	using	use	VERB
cana-4547	321	22	tcp	tcp	ADJ
cana-4547	321	23	deltas	delta	NOUN
cana-4547	321	24	with	with	ADP
cana-4547	321	25	data	datum	NOUN
cana-4547	321	26	analytics	analytic	NOUN
cana-4547	321	27	and	and	CCONJ
cana-4547	321	28	machine	machine	NOUN
cana-4547	321	29	learning	learn	VERB
cana-4547	321	30	techniques	technique	NOUN
cana-4547	321	31	.	.	PUNCT
cana-4547	322	1	cluster	cluster	NOUN
cana-4547	322	2	comput	comput	NOUN
cana-4547	322	3	28	28	NUM
cana-4547	322	4	,	,	PUNCT
cana-4547	322	5	260	260	NUM
cana-4547	322	6	(	(	PUNCT
cana-4547	322	7	2025	2025	NUM
cana-4547	322	8	)	)	PUNCT
cana-4547	322	9	.	.	PUNCT
cana-4547	323	1	https://doi.org/10.1007/s10586-024-04884-8	https://doi.org/10.1007/s10586-024-04884-8	NUM
cana-4547	324	1	[	[	X
cana-4547	324	2	11	11	NUM
cana-4547	324	3	]	]	X
cana-4547	324	4	suresh	suresh	PROPN
cana-4547	324	5	kumar	kumar	PROPN
cana-4547	324	6	,	,	PUNCT
cana-4547	324	7	v.	v.	PROPN
cana-4547	324	8	,	,	PUNCT
cana-4547	324	9	ibrahim	ibrahim	PROPN
cana-4547	324	10	khalaf	khalaf	PROPN
cana-4547	324	11	,	,	PUNCT
cana-4547	324	12	o.	o.	PROPN
cana-4547	324	13	,	,	PUNCT
cana-4547	324	14	raman	raman	NOUN
cana-4547	324	15	chandan	chandan	PROPN
cana-4547	324	16	,	,	PUNCT
cana-4547	324	17	r.	r.	PROPN
cana-4547	324	18	et	et	PROPN
cana-4547	324	19	al	al	PROPN
cana-4547	324	20	.	.	PUNCT
cana-4547	324	21	implementation	implementation	NOUN
cana-4547	324	22	of	of	ADP
cana-4547	324	23	a	a	DET
cana-4547	324	24	novel	novel	ADJ
cana-4547	324	25	secured	secure	VERB
cana-4547	324	26	authentication	authentication	NOUN
cana-4547	324	27	protocol	protocol	NOUN
cana-4547	324	28	for	for	ADP
cana-4547	324	29	cyber	cyber	ADJ
cana-4547	324	30	security	security	NOUN
cana-4547	324	31	applications	application	NOUN
cana-4547	324	32	.	.	PUNCT
cana-4547	325	1	sci	sci	PROPN
cana-4547	325	2	rep	rep	PROPN
cana-4547	325	3	14	14	NUM
cana-4547	325	4	,	,	PUNCT
cana-4547	325	5	25708	25708	NUM
cana-4547	325	6	(	(	PUNCT
cana-4547	325	7	2024	2024	NUM
cana-4547	325	8	)	)	PUNCT
cana-4547	325	9	.	.	PUNCT
cana-4547	326	1	https://doi.org/10.1038/s41598-024-76306-z	https://doi.org/10.1038/s41598-024-76306-z	NOUN
cana-4547	326	2	[	[	X
cana-4547	326	3	12	12	NUM
cana-4547	326	4	]	]	PUNCT
cana-4547	326	5	borra	borra	PROPN
cana-4547	326	6	,	,	PUNCT
cana-4547	326	7	s.r	s.r	PROPN
cana-4547	326	8	.	.	PROPN
cana-4547	326	9	,	,	PUNCT
cana-4547	326	10	premalatha	premalatha	PROPN
cana-4547	326	11	,	,	PUNCT
cana-4547	326	12	b.	b.	PROPN
cana-4547	326	13	,	,	PUNCT
cana-4547	326	14	divya	divya	PROPN
cana-4547	326	15	,	,	PUNCT
cana-4547	326	16	g.	g.	PROPN
cana-4547	326	17	et	et	PROPN
cana-4547	326	18	al	al	PROPN
cana-4547	326	19	.	.	PUNCT
cana-4547	327	1	deep	deep	ADJ
cana-4547	327	2	hashing	hashing	NOUN
cana-4547	327	3	with	with	ADP
cana-4547	327	4	multilayer	multilayer	PROPN
cana-4547	327	5	cnn	cnn	PROPN
cana-4547	327	6	-	-	PUNCT
cana-4547	327	7	based	base	VERB
cana-4547	327	8	biometric	biometric	ADJ
cana-4547	327	9	authentication	authentication	NOUN
cana-4547	327	10	for	for	ADP
cana-4547	327	11	identifying	identify	VERB
cana-4547	327	12	individuals	individual	NOUN
cana-4547	327	13	in	in	ADP
cana-4547	327	14	transportation	transportation	NOUN
cana-4547	327	15	security	security	NOUN
cana-4547	327	16	.	.	PUNCT
cana-4547	328	1	j	j	PROPN
cana-4547	328	2	transp	transp	PROPN
cana-4547	328	3	secur	secur	VERB
cana-4547	328	4	17	17	NUM
cana-4547	328	5	,	,	PUNCT
cana-4547	328	6	4	4	NUM
cana-4547	328	7	(	(	PUNCT
cana-4547	328	8	2024	2024	NUM
cana-4547	328	9	)	)	PUNCT
cana-4547	328	10	.	.	PUNCT
cana-4547	329	1	https://doi.org/10.1007/s12198-024-00272-w	https://doi.org/10.1007/s12198-024-00272-w	PROPN
cana-4547	330	1	[	[	X
cana-4547	330	2	13	13	NUM
cana-4547	330	3	]	]	X
cana-4547	330	4	rai	rai	PROPN
cana-4547	330	5	,	,	PUNCT
cana-4547	330	6	m.	m.	NOUN
cana-4547	330	7	,	,	PUNCT
cana-4547	330	8	kumar	kumar	PROPN
cana-4547	330	9	,	,	PUNCT
cana-4547	330	10	s.	s.	PROPN
cana-4547	330	11	&	&	CCONJ
cana-4547	330	12	rathore	rathore	PROPN
cana-4547	330	13	,	,	PUNCT
cana-4547	330	14	p.s	p.s	PROPN
cana-4547	330	15	.	.	PROPN
cana-4547	330	16	a	a	DET
cana-4547	330	17	systematic	systematic	ADJ
cana-4547	330	18	review	review	NOUN
cana-4547	330	19	of	of	ADP
cana-4547	330	20	innovations	innovation	NOUN
cana-4547	330	21	for	for	ADP
cana-4547	330	22	real	real	ADJ
cana-4547	330	23	-	-	PUNCT
cana-4547	330	24	time	time	NOUN
cana-4547	330	25	image	image	NOUN
cana-4547	330	26	security	security	NOUN
cana-4547	330	27	in	in	ADP
cana-4547	330	28	iot	iot	ADJ
cana-4547	330	29	applications	application	NOUN
cana-4547	330	30	using	use	VERB
cana-4547	330	31	machine	machine	NOUN
cana-4547	330	32	learning	learning	NOUN
cana-4547	330	33	and	and	CCONJ
cana-4547	330	34	blockchain	blockchain	PROPN
cana-4547	330	35	.	.	PUNCT
cana-4547	331	1	j	j	PROPN
cana-4547	331	2	intell	intell	PROPN
cana-4547	331	3	manuf	manuf	PROPN
cana-4547	331	4	(	(	PUNCT
cana-4547	331	5	2024	2024	NUM
cana-4547	331	6	)	)	PUNCT
cana-4547	331	7	.	.	PUNCT
cana-4547	332	1	https://doi.org/10.1007/s10845-024-02535-8	https://doi.org/10.1007/s10845-024-02535-8	PROPN
cana-4547	333	1	[	[	X
cana-4547	333	2	14	14	NUM
cana-4547	333	3	]	]	PUNCT
cana-4547	333	4	venkatasamy	venkatasamy	NOUN
cana-4547	333	5	,	,	PUNCT
cana-4547	333	6	t.	t.	PROPN
cana-4547	333	7	,	,	PUNCT
cana-4547	333	8	hossen	hossen	NOUN
cana-4547	333	9	,	,	PUNCT
cana-4547	333	10	m.j	m.j	PROPN
cana-4547	333	11	.	.	PROPN
cana-4547	333	12	,	,	PUNCT
cana-4547	333	13	ramasamy	ramasamy	PROPN
cana-4547	333	14	,	,	PUNCT
cana-4547	333	15	g.	g.	PROPN
cana-4547	333	16	et	et	PROPN
cana-4547	333	17	al	al	PROPN
cana-4547	333	18	.	.	PROPN
cana-4547	333	19	intrusion	intrusion	NOUN
cana-4547	333	20	detection	detection	NOUN
cana-4547	333	21	system	system	NOUN
cana-4547	333	22	for	for	ADP
cana-4547	333	23	v2x	v2x	VERB
cana-4547	333	24	communication	communication	NOUN
cana-4547	333	25	in	in	ADP
cana-4547	333	26	vanet	vanet	NOUN
cana-4547	333	27	networks	network	NOUN
cana-4547	333	28	using	use	VERB
cana-4547	333	29	machine	machine	NOUN
cana-4547	333	30	learning	learning	NOUN
cana-4547	333	31	-	-	PUNCT
cana-4547	333	32	based	base	VERB
cana-4547	333	33	cryptographic	cryptographic	ADJ
cana-4547	333	34	protocols	protocol	NOUN
cana-4547	333	35	.	.	PUNCT
cana-4547	334	1	sci	sci	PROPN
cana-4547	334	2	rep	rep	PROPN
cana-4547	334	3	14	14	NUM
cana-4547	334	4	,	,	PUNCT
cana-4547	334	5	31780	31780	NUM
cana-4547	334	6	(	(	PUNCT
cana-4547	334	7	2024	2024	NUM
cana-4547	334	8	)	)	PUNCT
cana-4547	334	9	.	.	PUNCT
cana-4547	335	1	https://doi.org/10.1038/s41598-024-82313-x	https://doi.org/10.1038/s41598-024-82313-x	PROPN
cana-4547	335	2	https://doi.org/10.1007/s00521-024-09690-2	https://doi.org/10.1007/s00521-024-09690-2	PROPN
cana-4547	335	3	https://doi.org/10.1007/s10207-024-00931-y	https://doi.org/10.1007/s10207-024-00931-y	PROPN
cana-4547	335	4	https://doi.org/10.1007/s10462-024-10776-5	https://doi.org/10.1007/s10462-024-10776-5	PROPN
cana-4547	335	5	https://doi.org/10.1007/s10462-024-10776-5	https://doi.org/10.1007/s10462-024-10776-5	NUM
cana-4547	335	6	https://doi.org/10.1038/s41598-024-62861-y	https://doi.org/10.1038/s41598-024-62861-y	NOUN
cana-4547	335	7	https://doi.org/10.1007/s11277-024-11087-2	https://doi.org/10.1007/s11277-024-11087-2	NUM
cana-4547	335	8	https://doi.org/10.1007/s10899-024-10337-z	https://doi.org/10.1007/s10899-024-10337-z	PROPN
cana-4547	335	9	https://doi.org/10.1007/s10899-024-10337-z	https://doi.org/10.1007/s10899-024-10337-z	PROPN
cana-4547	335	10	https://doi.org/10.1007/s41870-024-01892-0	https://doi.org/10.1007/s41870-024-01892-0	NUM
cana-4547	335	11	https://doi.org/10.1007/s41870-024-01892-0	https://doi.org/10.1007/s41870-024-01892-0	NUM
cana-4547	335	12	https://doi.org/10.1007/s11042-024-19194-9	https://doi.org/10.1007/s11042-024-19194-9	NUM
cana-4547	335	13	https://doi.org/10.1186/s40537-023-00807-3	https://doi.org/10.1186/s40537-023-00807-3	NUM
cana-4547	335	14	https://doi.org/10.1007/s10586-024-04884-8	https://doi.org/10.1007/s10586-024-04884-8	NUM
cana-4547	336	1	https://doi.org/10.1038/s41598-024-76306-z	https://doi.org/10.1038/s41598-024-76306-z	PROPN
cana-4547	336	2	https://doi.org/10.1007/s12198-024-00272-w	https://doi.org/10.1007/s12198-024-00272-w	PROPN
cana-4547	336	3	https://doi.org/10.1007/s10845-024-02535-8	https://doi.org/10.1007/s10845-024-02535-8	PROPN
cana-4547	336	4	https://doi.org/10.1038/s41598-024-82313-x	https://doi.org/10.1038/s41598-024-82313-x	PROPN
cana-4547	336	5	communications	communication	NOUN
cana-4547	336	6	on	on	ADP
cana-4547	336	7	applied	apply	VERB
cana-4547	336	8	nonlinear	nonlinear	ADJ
cana-4547	336	9	analysis	analysis	NOUN
cana-4547	336	10	issn	issn	NOUN
cana-4547	336	11	:	:	PUNCT
cana-4547	336	12	1074	1074	NUM
cana-4547	336	13	-	-	PUNCT
cana-4547	336	14	133x	133x	NUM
cana-4547	336	15	vol	vol	NOUN
cana-4547	336	16	32	32	NUM
cana-4547	336	17	no	no	NOUN
cana-4547	336	18	.	.	PUNCT
cana-4547	337	1	9s	9s	NUM
cana-4547	337	2	(	(	PUNCT
cana-4547	337	3	2025	2025	NUM
cana-4547	337	4	)	)	PUNCT
cana-4547	337	5	2677	2677	NUM
cana-4547	337	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4547	338	1	[	[	X
cana-4547	338	2	15	15	NUM
cana-4547	338	3	]	]	X
cana-4547	338	4	chen	chen	PROPN
cana-4547	338	5	,	,	PUNCT
cana-4547	338	6	j.	j.	PROPN
cana-4547	338	7	,	,	PUNCT
cana-4547	338	8	xu	xu	PROPN
cana-4547	338	9	,	,	PUNCT
cana-4547	338	10	y.	y.	PROPN
cana-4547	338	11	,	,	PUNCT
cana-4547	338	12	zhu	zhu	PROPN
cana-4547	338	13	,	,	PUNCT
cana-4547	338	14	x.	x.	PROPN
cana-4547	338	15	et	et	PROPN
cana-4547	338	16	al	al	PROPN
cana-4547	338	17	.	.	PROPN
cana-4547	338	18	wireless	wireless	ADJ
cana-4547	338	19	6	6	NUM
cana-4547	338	20	g	g	NOUN
cana-4547	338	21	cloud	cloud	NOUN
cana-4547	338	22	communication	communication	NOUN
cana-4547	338	23	based	base	VERB
cana-4547	338	24	security	security	NOUN
cana-4547	338	25	analysis	analysis	NOUN
cana-4547	338	26	using	use	VERB
cana-4547	338	27	machine	machine	NOUN
cana-4547	338	28	learning	learning	NOUN
cana-4547	338	29	in	in	ADP
cana-4547	338	30	internet	internet	NOUN
cana-4547	338	31	of	of	ADP
cana-4547	338	32	medical	medical	ADJ
cana-4547	338	33	things	thing	NOUN
cana-4547	338	34	(	(	PUNCT
cana-4547	338	35	iomt	iomt	NOUN
cana-4547	338	36	)	)	PUNCT
cana-4547	338	37	.	.	PUNCT
cana-4547	339	1	wireless	wireless	ADJ
cana-4547	339	2	pers	per	NOUN
cana-4547	339	3	commun	commun	X
cana-4547	339	4	(	(	PUNCT
cana-4547	339	5	2024	2024	NUM
cana-4547	339	6	)	)	PUNCT
cana-4547	339	7	.	.	PUNCT
cana-4547	340	1	https://doi.org/10.1007/s11277-024-11179-z	https://doi.org/10.1007/s11277-024-11179-z	NOUN
cana-4547	340	2	[	[	X
cana-4547	340	3	16	16	NUM
cana-4547	340	4	]	]	X
cana-4547	340	5	singhal	singhal	PROPN
cana-4547	340	6	,	,	PUNCT
cana-4547	340	7	m.	m.	NOUN
cana-4547	340	8	,	,	PUNCT
cana-4547	340	9	shinghal	shinghal	NOUN
cana-4547	340	10	,	,	PUNCT
cana-4547	340	11	k.	k.	PROPN
cana-4547	340	12	secure	secure	VERB
cana-4547	340	13	deep	deep	ADJ
cana-4547	340	14	multimodal	multimodal	NOUN
cana-4547	340	15	biometric	biometric	ADJ
cana-4547	340	16	authentication	authentication	NOUN
cana-4547	340	17	using	use	VERB
cana-4547	340	18	online	online	ADJ
cana-4547	340	19	signature	signature	NOUN
cana-4547	340	20	and	and	CCONJ
cana-4547	340	21	face	face	NOUN
cana-4547	340	22	features	feature	NOUN
cana-4547	340	23	fusion	fusion	NOUN
cana-4547	340	24	.	.	PUNCT
cana-4547	341	1	multimed	multime	VERB
cana-4547	341	2	tools	tool	NOUN
cana-4547	341	3	appl	appl	NOUN
cana-4547	341	4	83	83	NUM
cana-4547	341	5	,	,	PUNCT
cana-4547	341	6	30981–31000	30981–31000	NUM
cana-4547	341	7	(	(	PUNCT
cana-4547	341	8	2024	2024	NUM
cana-4547	341	9	)	)	PUNCT
cana-4547	341	10	.	.	PUNCT
cana-4547	342	1	https://doi.org/10.1007/s11042-023-16683-1	https://doi.org/10.1007/s11042-023-16683-1	NUM
cana-4547	343	1	[	[	X
cana-4547	343	2	17	17	NUM
cana-4547	343	3	]	]	X
cana-4547	343	4	cherbal	cherbal	PROPN
cana-4547	343	5	,	,	PUNCT
cana-4547	343	6	s.	s.	PROPN
cana-4547	343	7	,	,	PUNCT
cana-4547	343	8	zier	zier	NOUN
cana-4547	343	9	,	,	PUNCT
cana-4547	343	10	a.	a.	NOUN
cana-4547	343	11	,	,	PUNCT
cana-4547	343	12	hebal	hebal	PROPN
cana-4547	343	13	,	,	PUNCT
cana-4547	343	14	s.	s.	PROPN
cana-4547	343	15	et	et	PROPN
cana-4547	343	16	al	al	PROPN
cana-4547	343	17	.	.	PROPN
cana-4547	343	18	security	security	NOUN
cana-4547	343	19	in	in	ADP
cana-4547	343	20	internet	internet	NOUN
cana-4547	343	21	of	of	ADP
cana-4547	343	22	things	thing	NOUN
cana-4547	343	23	:	:	PUNCT
cana-4547	343	24	a	a	DET
cana-4547	343	25	review	review	NOUN
cana-4547	343	26	on	on	ADP
cana-4547	343	27	approaches	approach	NOUN
cana-4547	343	28	based	base	VERB
cana-4547	343	29	on	on	ADP
cana-4547	343	30	blockchain	blockchain	PROPN
cana-4547	343	31	,	,	PUNCT
cana-4547	343	32	machine	machine	NOUN
cana-4547	343	33	learning	learning	NOUN
cana-4547	343	34	,	,	PUNCT
cana-4547	343	35	cryptography	cryptography	NOUN
cana-4547	343	36	,	,	PUNCT
cana-4547	343	37	and	and	CCONJ
cana-4547	343	38	quantum	quantum	NOUN
cana-4547	343	39	computing	computing	NOUN
cana-4547	343	40	.	.	PUNCT
cana-4547	344	1	j	j	PROPN
cana-4547	344	2	supercomput	supercomput	VERB
cana-4547	344	3	80	80	NUM
cana-4547	344	4	,	,	PUNCT
cana-4547	344	5	3738–3816	3738–3816	NUM
cana-4547	344	6	(	(	PUNCT
cana-4547	344	7	2024	2024	NUM
cana-4547	344	8	)	)	PUNCT
cana-4547	344	9	.	.	PUNCT
cana-4547	345	1	https://doi.org/10.1007/s11227-023-05616-2	https://doi.org/10.1007/s11227-023-05616-2	NUM
cana-4547	346	1	[	[	X
cana-4547	346	2	18	18	NUM
cana-4547	346	3	]	]	X
cana-4547	346	4	kadham	kadham	PROPN
cana-4547	346	5	,	,	PUNCT
cana-4547	346	6	n.r	n.r	PROPN
cana-4547	346	7	.	.	PROPN
cana-4547	346	8	,	,	PUNCT
cana-4547	346	9	krishna	krishna	PROPN
cana-4547	346	10	,	,	PUNCT
cana-4547	346	11	p.g	p.g	PROPN
cana-4547	346	12	.	.	PROPN
cana-4547	346	13	&	&	CCONJ
cana-4547	346	14	ravi	ravi	PROPN
cana-4547	346	15	,	,	PUNCT
cana-4547	346	16	k.s	k.s	PROPN
cana-4547	346	17	.	.	PROPN
cana-4547	346	18	iot	iot	PROPN
cana-4547	346	19	-	-	PUNCT
cana-4547	346	20	based	base	VERB
cana-4547	346	21	remote	remote	ADJ
cana-4547	346	22	monitoring	monitoring	NOUN
cana-4547	346	23	as	as	ADP
cana-4547	346	24	a	a	DET
cana-4547	346	25	distance	distance	NOUN
cana-4547	346	26	(	(	PUNCT
cana-4547	346	27	online	online	ADJ
cana-4547	346	28	)	)	PUNCT
cana-4547	346	29	laboratory	laboratory	NOUN
cana-4547	346	30	for	for	ADP
cana-4547	346	31	applied	applied	ADJ
cana-4547	346	32	learning	learning	NOUN
cana-4547	346	33	.	.	PUNCT
cana-4547	347	1	sn	sn	PROPN
cana-4547	347	2	comput	comput	PROPN
cana-4547	347	3	.	.	PUNCT
cana-4547	348	1	sci	sci	PROPN
cana-4547	348	2	.	.	PROPN
cana-4547	349	1	6	6	NUM
cana-4547	349	2	,	,	PUNCT
cana-4547	349	3	114	114	NUM
cana-4547	349	4	(	(	PUNCT
cana-4547	349	5	2025	2025	NUM
cana-4547	349	6	)	)	PUNCT
cana-4547	349	7	.	.	PUNCT
cana-4547	350	1	https://doi.org/10.1007/s42979-024-03649-9	https://doi.org/10.1007/s42979-024-03649-9	NUM
cana-4547	350	2	[	[	X
cana-4547	350	3	19	19	NUM
cana-4547	350	4	]	]	PUNCT
cana-4547	350	5	sharma	sharma	PROPN
cana-4547	350	6	,	,	PUNCT
cana-4547	350	7	g.	g.	PROPN
cana-4547	350	8	,	,	PUNCT
cana-4547	350	9	vidalis	vidalis	PROPN
cana-4547	350	10	,	,	PUNCT
cana-4547	350	11	s.	s.	PROPN
cana-4547	350	12	,	,	PUNCT
cana-4547	350	13	mankar	mankar	PROPN
cana-4547	350	14	,	,	PUNCT
cana-4547	350	15	p.	p.	NOUN
cana-4547	350	16	et	et	NOUN
cana-4547	351	1	al	al	PROPN
cana-4547	351	2	.	.	PROPN
cana-4547	351	3	automated	automate	VERB
cana-4547	351	4	passive	passive	ADJ
cana-4547	351	5	income	income	NOUN
cana-4547	351	6	from	from	ADP
cana-4547	351	7	stock	stock	NOUN
cana-4547	351	8	market	market	NOUN
cana-4547	351	9	using	use	VERB
cana-4547	351	10	machine	machine	NOUN
cana-4547	351	11	learning	learning	NOUN
cana-4547	351	12	and	and	CCONJ
cana-4547	351	13	big	big	ADJ
cana-4547	351	14	data	datum	NOUN
cana-4547	351	15	analytics	analytic	NOUN
cana-4547	351	16	with	with	ADP
cana-4547	351	17	security	security	NOUN
cana-4547	351	18	aspects	aspect	NOUN
cana-4547	351	19	.	.	PUNCT
cana-4547	352	1	multimed	multime	VERB
cana-4547	352	2	tools	tool	NOUN
cana-4547	352	3	appl	appl	NOUN
cana-4547	352	4	(	(	PUNCT
cana-4547	352	5	2024	2024	NUM
cana-4547	352	6	)	)	PUNCT
cana-4547	352	7	.	.	PUNCT
cana-4547	353	1	https://doi.org/10.1007/s11042-024-19340-3	https://doi.org/10.1007/s11042-024-19340-3	NUM
cana-4547	354	1	[	[	X
cana-4547	354	2	20	20	NUM
cana-4547	354	3	]	]	X
cana-4547	354	4	fatima	fatima	PROPN
cana-4547	354	5	,	,	PUNCT
cana-4547	354	6	s.	s.	PROPN
cana-4547	354	7	,	,	PUNCT
cana-4547	354	8	akram	akram	PROPN
cana-4547	354	9	,	,	PUNCT
cana-4547	354	10	m.a	m.a	PROPN
cana-4547	354	11	.	.	PROPN
cana-4547	354	12	,	,	PUNCT
cana-4547	354	13	mian	mian	PROPN
cana-4547	354	14	,	,	PUNCT
cana-4547	354	15	a.n	a.n	PROPN
cana-4547	354	16	.	.	PROPN
cana-4547	354	17	et	et	PROPN
cana-4547	354	18	al	al	PROPN
cana-4547	354	19	.	.	PROPN
cana-4547	355	1	on	on	ADP
cana-4547	355	2	the	the	DET
cana-4547	355	3	security	security	NOUN
cana-4547	355	4	of	of	ADP
cana-4547	355	5	a	a	DET
cana-4547	355	6	blockchain	blockchain	PROPN
cana-4547	355	7	and	and	CCONJ
cana-4547	355	8	puf	puf	PROPN
cana-4547	355	9	-	-	PUNCT
cana-4547	355	10	based	base	VERB
cana-4547	355	11	lightweight	lightweight	ADJ
cana-4547	355	12	authentication	authentication	NOUN
cana-4547	355	13	protocol	protocol	NOUN
cana-4547	355	14	for	for	ADP
cana-4547	355	15	wireless	wireless	ADJ
cana-4547	355	16	medical	medical	ADJ
cana-4547	355	17	sensor	sensor	NOUN
cana-4547	355	18	networks	network	NOUN
cana-4547	355	19	.	.	PUNCT
cana-4547	356	1	wireless	wireless	ADJ
cana-4547	356	2	pers	per	NOUN
cana-4547	356	3	commun	commun	VERB
cana-4547	356	4	136	136	NUM
cana-4547	356	5	,	,	PUNCT
cana-4547	356	6	1079–1106	1079–1106	NUM
cana-4547	356	7	(	(	PUNCT
cana-4547	356	8	2024	2024	NUM
cana-4547	356	9	)	)	PUNCT
cana-4547	356	10	.	.	PUNCT
cana-4547	357	1	https://doi.org/10.1007/s11277-024-11318-6	https://doi.org/10.1007/s11277-024-11318-6	PRON
cana-4547	358	1	[	[	X
cana-4547	358	2	21	21	NUM
cana-4547	358	3	]	]	X
cana-4547	358	4	yi	yi	PROPN
cana-4547	358	5	,	,	PUNCT
cana-4547	358	6	h.	h.	PROPN
cana-4547	358	7	machine	machine	NOUN
cana-4547	358	8	learning	learning	NOUN
cana-4547	358	9	method	method	NOUN
cana-4547	358	10	with	with	ADP
cana-4547	358	11	applications	application	NOUN
cana-4547	358	12	in	in	ADP
cana-4547	358	13	hardware	hardware	NOUN
cana-4547	358	14	security	security	NOUN
cana-4547	358	15	of	of	ADP
cana-4547	358	16	post	post	ADJ
cana-4547	358	17	-	-	ADJ
cana-4547	358	18	quantum	quantum	ADJ
cana-4547	358	19	cryptography	cryptography	NOUN
cana-4547	358	20	.	.	PUNCT
cana-4547	359	1	j	j	PROPN
cana-4547	359	2	grid	grid	NOUN
cana-4547	359	3	computing	compute	VERB
cana-4547	359	4	21	21	NUM
cana-4547	359	5	,	,	PUNCT
cana-4547	359	6	19	19	NUM
cana-4547	359	7	(	(	PUNCT
cana-4547	359	8	2023	2023	NUM
cana-4547	359	9	)	)	PUNCT
cana-4547	359	10	.	.	PUNCT
cana-4547	360	1	https://doi.org/10.1007/s10723-023-09643-4	https://doi.org/10.1007/s10723-023-09643-4	NUM
cana-4547	361	1	[	[	X
cana-4547	361	2	22	22	NUM
cana-4547	361	3	]	]	X
cana-4547	361	4	prakash	prakash	PROPN
cana-4547	361	5	,	,	PUNCT
cana-4547	361	6	v.	v.	PROPN
cana-4547	361	7	,	,	PUNCT
cana-4547	361	8	odedina	odedina	PROPN
cana-4547	361	9	,	,	PUNCT
cana-4547	361	10	o.	o.	PROPN
cana-4547	361	11	,	,	PUNCT
cana-4547	361	12	kumar	kumar	PROPN
cana-4547	361	13	,	,	PUNCT
cana-4547	361	14	a.	a.	PROPN
cana-4547	361	15	et	et	PROPN
cana-4547	361	16	al	al	PROPN
cana-4547	361	17	.	.	PUNCT
cana-4547	362	1	a	a	DET
cana-4547	362	2	secure	secure	ADJ
cana-4547	362	3	framework	framework	NOUN
cana-4547	362	4	for	for	ADP
cana-4547	362	5	the	the	DET
cana-4547	362	6	internet	internet	NOUN
cana-4547	362	7	of	of	ADP
cana-4547	362	8	things	thing	NOUN
cana-4547	362	9	anomalies	anomaly	NOUN
cana-4547	362	10	using	use	VERB
cana-4547	362	11	machine	machine	NOUN
cana-4547	362	12	learning	learning	NOUN
cana-4547	362	13	.	.	PUNCT
cana-4547	363	1	discov	discov	ADJ
cana-4547	363	2	internet	internet	NOUN
cana-4547	363	3	things	thing	NOUN
cana-4547	363	4	4	4	NUM
cana-4547	363	5	,	,	PUNCT
cana-4547	363	6	33	33	NUM
cana-4547	363	7	(	(	PUNCT
cana-4547	363	8	2024	2024	NUM
cana-4547	363	9	)	)	PUNCT
cana-4547	363	10	.	.	PUNCT
cana-4547	364	1	https://doi.org/10.1007/s43926-024-00088-z	https://doi.org/10.1007/s43926-024-00088-z	PROPN
cana-4547	365	1	[	[	X
cana-4547	365	2	23	23	NUM
cana-4547	365	3	]	]	X
cana-4547	365	4	gutub	gutub	NOUN
cana-4547	365	5	,	,	PUNCT
cana-4547	365	6	a.	a.	NOUN
cana-4547	365	7	,	,	PUNCT
cana-4547	365	8	altalhi	altalhi	NOUN
cana-4547	365	9	,	,	PUNCT
cana-4547	365	10	s.	s.	PROPN
cana-4547	365	11	&	&	CCONJ
cana-4547	365	12	ghazwani	ghazwani	PROPN
cana-4547	365	13	,	,	PUNCT
cana-4547	365	14	b.	b.	PROPN
cana-4547	365	15	offline	offline	PROPN
cana-4547	365	16	efficient	efficient	ADJ
cana-4547	365	17	signature	signature	NOUN
cana-4547	365	18	authentication	authentication	NOUN
cana-4547	365	19	using	use	VERB
cana-4547	365	20	octave	octave	NOUN
cana-4547	365	21	convolution	convolution	NOUN
cana-4547	365	22	neural	neural	ADJ
cana-4547	365	23	network	network	NOUN
cana-4547	365	24	.	.	PUNCT
cana-4547	366	1	arab	arab	PROPN
cana-4547	366	2	j	j	PROPN
cana-4547	366	3	sci	sci	PROPN
cana-4547	366	4	eng	eng	PROPN
cana-4547	366	5	(	(	PUNCT
cana-4547	366	6	2025	2025	NUM
cana-4547	366	7	)	)	PUNCT
cana-4547	366	8	.	.	PUNCT
cana-4547	367	1	https://doi.org/10.1007/s13369-02509964-4	https://doi.org/10.1007/s13369-02509964-4	PROPN
cana-4547	367	2	[	[	X
cana-4547	367	3	24	24	NUM
cana-4547	367	4	]	]	PUNCT
cana-4547	367	5	mashechkin	mashechkin	X
cana-4547	367	6	,	,	PUNCT
cana-4547	367	7	i.v	i.v	PROPN
cana-4547	367	8	.	.	PROPN
cana-4547	367	9	,	,	PUNCT
cana-4547	367	10	petrovskiy	petrovskiy	NOUN
cana-4547	367	11	,	,	PUNCT
cana-4547	367	12	m.i	m.i	PROPN
cana-4547	367	13	.	.	PROPN
cana-4547	367	14	&	&	CCONJ
cana-4547	367	15	kazachuk	kazachuk	PROPN
cana-4547	367	16	,	,	PUNCT
cana-4547	367	17	m.a	m.a	PROPN
cana-4547	367	18	.	.	PROPN
cana-4547	367	19	machine	machine	NOUN
cana-4547	367	20	learning	learn	VERB
cana-4547	367	21	for	for	ADP
cana-4547	367	22	analyzing	analyze	VERB
cana-4547	367	23	and	and	CCONJ
cana-4547	367	24	modeling	model	VERB
cana-4547	367	25	the	the	DET
cana-4547	367	26	behavior	behavior	NOUN
cana-4547	367	27	of	of	ADP
cana-4547	367	28	computer	computer	NOUN
cana-4547	367	29	system	system	NOUN
cana-4547	367	30	users	user	NOUN
cana-4547	367	31	.	.	PUNCT
cana-4547	368	1	moscowuniv.comput.math.cybern	moscowuniv.comput.math.cybern	PROPN
cana-4547	368	2	.	.	PUNCT
cana-4547	369	1	48	48	NUM
cana-4547	369	2	,	,	PUNCT
cana-4547	369	3	371–397	371–397	NUM
cana-4547	369	4	(	(	PUNCT
cana-4547	369	5	2024	2024	NUM
cana-4547	369	6	)	)	PUNCT
cana-4547	369	7	.	.	PUNCT
cana-4547	370	1	https://doi.org/10.3103/s0278641924700237	https://doi.org/10.3103/s0278641924700237	PUNCT
cana-4547	371	1	[	[	X
cana-4547	371	2	25	25	NUM
cana-4547	371	3	]	]	PUNCT
cana-4547	371	4	thomas	thomas	PROPN
cana-4547	371	5	,	,	PUNCT
cana-4547	371	6	m.	m.	NOUN
cana-4547	371	7	,	,	PUNCT
cana-4547	371	8	gupta	gupta	PROPN
cana-4547	371	9	,	,	PUNCT
cana-4547	371	10	m.v	m.v	PROPN
cana-4547	371	11	.	.	PROPN
cana-4547	371	12	,	,	PUNCT
cana-4547	371	13	gokul	gokul	PROPN
cana-4547	371	14	rajan	rajan	PROPN
cana-4547	371	15	,	,	PUNCT
cana-4547	371	16	v.	v.	ADP
cana-4547	371	17	et	et	PROPN
cana-4547	371	18	al	al	PROPN
cana-4547	371	19	.	.	PROPN
cana-4547	371	20	soft	soft	ADJ
cana-4547	371	21	computing	computing	NOUN
cana-4547	371	22	in	in	ADP
cana-4547	371	23	computer	computer	NOUN
cana-4547	371	24	network	network	NOUN
cana-4547	371	25	security	security	NOUN
cana-4547	371	26	protection	protection	NOUN
cana-4547	371	27	system	system	NOUN
cana-4547	371	28	with	with	ADP
cana-4547	371	29	machine	machine	NOUN
cana-4547	371	30	learning	learning	NOUN
cana-4547	371	31	based	base	VERB
cana-4547	371	32	on	on	ADP
cana-4547	371	33	level	level	NOUN
cana-4547	371	34	protection	protection	NOUN
cana-4547	371	35	in	in	ADP
cana-4547	371	36	the	the	DET
cana-4547	371	37	cloud	cloud	NOUN
cana-4547	371	38	environment	environment	NOUN
cana-4547	371	39	.	.	PUNCT
cana-4547	372	1	soft	soft	ADJ
cana-4547	372	2	comput	comput	NOUN
cana-4547	372	3	(	(	PUNCT
cana-4547	372	4	2023	2023	NUM
cana-4547	372	5	)	)	PUNCT
cana-4547	372	6	.	.	PUNCT
cana-4547	373	1	https://doi.org/10.1007/s00500-023-08395-3	https://doi.org/10.1007/s00500-023-08395-3	PROPN
cana-4547	374	1	[	[	X
cana-4547	374	2	26	26	NUM
cana-4547	374	3	]	]	X
cana-4547	374	4	sharadamani	sharadamani	X
cana-4547	374	5	,	,	PUNCT
cana-4547	374	6	d.	d.	PROPN
cana-4547	374	7	,	,	PUNCT
cana-4547	374	8	and	and	CCONJ
cana-4547	374	9	c.	c.	PROPN
cana-4547	374	10	nagaraju	nagaraju	PROPN
cana-4547	374	11	.	.	PUNCT
cana-4547	375	1	"	"	PUNCT
cana-4547	375	2	face	face	VERB
cana-4547	375	3	recognition	recognition	NOUN
cana-4547	375	4	using	use	VERB
cana-4547	375	5	gradient	gradient	ADJ
cana-4547	375	6	derivative	derivative	ADJ
cana-4547	375	7	local	local	ADJ
cana-4547	375	8	binary	binary	NOUN
cana-4547	375	9	patterns	pattern	NOUN
cana-4547	375	10	.	.	PUNCT
cana-4547	375	11	"	"	PUNCT
cana-4547	376	1	international	international	ADJ
cana-4547	376	2	journal	journal	NOUN
cana-4547	376	3	of	of	ADP
cana-4547	376	4	applied	apply	VERB
cana-4547	376	5	engineering	engineering	NOUN
cana-4547	376	6	research	research	NOUN
cana-4547	376	7	12	12	NUM
cana-4547	376	8	,	,	PUNCT
cana-4547	376	9	no	no	INTJ
cana-4547	376	10	.	.	NOUN
cana-4547	376	11	7	7	NUM
cana-4547	376	12	,	,	PUNCT
cana-4547	376	13	1316	1316	NUM
cana-4547	376	14	-	-	SYM
cana-4547	376	15	1323	1323	NUM
cana-4547	376	16	(	(	PUNCT
cana-4547	376	17	2017	2017	NUM
cana-4547	376	18	)	)	PUNCT
cana-4547	376	19	.	.	PUNCT
cana-4547	377	1	https://doi.org/10.1007/s11277-024-11179-z	https://doi.org/10.1007/s11277-024-11179-z	PROPN
cana-4547	377	2	https://doi.org/10.1007/s11042-023-16683-1	https://doi.org/10.1007/s11042-023-16683-1	PROPN
cana-4547	377	3	https://doi.org/10.1007/s11227-023-05616-2	https://doi.org/10.1007/s11227-023-05616-2	NUM
cana-4547	377	4	https://doi.org/10.1007/s42979-024-03649-9	https://doi.org/10.1007/s42979-024-03649-9	NUM
cana-4547	377	5	https://doi.org/10.1007/s11042-024-19340-3	https://doi.org/10.1007/s11042-024-19340-3	NUM
cana-4547	377	6	https://doi.org/10.1007/s11277-024-11318-6	https://doi.org/10.1007/s11277-024-11318-6	NUM
cana-4547	377	7	https://doi.org/10.1007/s10723-023-09643-4	https://doi.org/10.1007/s10723-023-09643-4	NUM
cana-4547	377	8	https://doi.org/10.1007/s43926-024-00088-z	https://doi.org/10.1007/s43926-024-00088-z	PROPN
cana-4547	377	9	https://doi.org/10.1007/s13369-025-09964-4	https://doi.org/10.1007/s13369-025-09964-4	NUM
cana-4547	377	10	https://doi.org/10.1007/s13369-025-09964-4	https://doi.org/10.1007/s13369-025-09964-4	NUM
cana-4547	377	11	https://doi.org/10.3103/s0278641924700237	https://doi.org/10.3103/s0278641924700237	NUM
cana-4547	377	12	https://doi.org/10.1007/s00500-023-08395-3	https://doi.org/10.1007/s00500-023-08395-3	NOUN