id	sid	tid	token	lemma	pos
cana-1248	1	1	communications	communication	NOUN
cana-1248	1	2	on	on	ADP
cana-1248	1	3	applied	apply	VERB
cana-1248	1	4	nonlinear	nonlinear	ADJ
cana-1248	1	5	analysis	analysis	NOUN
cana-1248	1	6	issn	issn	NOUN
cana-1248	1	7	:	:	PUNCT
cana-1248	1	8	1074	1074	NUM
cana-1248	1	9	-	-	PUNCT
cana-1248	1	10	133x	133x	NUM
cana-1248	1	11	vol	vol	NOUN
cana-1248	1	12	31	31	NUM
cana-1248	1	13	no	no	NOUN
cana-1248	1	14	.	.	PUNCT
cana-1248	2	1	6s	6s	NUM
cana-1248	2	2	(	(	PUNCT
cana-1248	2	3	2024	2024	NUM
cana-1248	2	4	)	)	PUNCT
cana-1248	2	5	618	618	NUM
cana-1248	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	3	2	mathematical	mathematical	ADJ
cana-1248	3	3	models	model	NOUN
cana-1248	3	4	of	of	ADP
cana-1248	3	5	nonlinear	nonlinear	ADJ
cana-1248	3	6	phenomena	phenomenon	NOUN
cana-1248	3	7	in	in	ADP
cana-1248	3	8	wireless	wireless	ADJ
cana-1248	3	9	security	security	NOUN
cana-1248	3	10	1milindkumar	1milindkumar	NUM
cana-1248	3	11	namdevrao	namdevrao	NOUN
cana-1248	3	12	dandale	dandale	PROPN
cana-1248	3	13	,	,	PUNCT
cana-1248	3	14	2pravinkumar	2pravinkumar	NUM
cana-1248	3	15	sudhakar	sudhakar	NOUN
cana-1248	3	16	patil	patil	PROPN
cana-1248	3	17	,	,	PUNCT
cana-1248	3	18	3navin	3navin	PROPN
cana-1248	3	19	dhinnesh	dhinnesh	PROPN
cana-1248	3	20	adc	adc	PROPN
cana-1248	3	21	,	,	PUNCT
cana-1248	3	22	4r	4r	NUM
cana-1248	3	23	.	.	PUNCT
cana-1248	4	1	monica	monica	PROPN
cana-1248	4	2	,	,	PUNCT
cana-1248	4	3	5buddha	5buddha	NUM
cana-1248	4	4	hari	hari	NOUN
cana-1248	4	5	kumar	kumar	PROPN
cana-1248	4	6	,	,	PUNCT
cana-1248	4	7	6gourav	6gourav	NUM
cana-1248	4	8	kalra	kalra	ADJ
cana-1248	4	9	1assistant	1assistant	NUM
cana-1248	4	10	professor	professor	NOUN
cana-1248	4	11	,	,	PUNCT
cana-1248	4	12	department	department	NOUN
cana-1248	4	13	of	of	ADP
cana-1248	4	14	applied	apply	VERB
cana-1248	4	15	mathematics	mathematic	NOUN
cana-1248	4	16	and	and	CCONJ
cana-1248	4	17	humanities	humanity	NOUN
cana-1248	4	18	,	,	PUNCT
cana-1248	4	19	yeshwantrao	yeshwantrao	NOUN
cana-1248	4	20	chavan	chavan	PROPN
cana-1248	4	21	college	college	NOUN
cana-1248	4	22	of	of	ADP
cana-1248	4	23	engineering	engineering	NOUN
cana-1248	4	24	nagpur	nagpur	PROPN
cana-1248	4	25	,	,	PUNCT
cana-1248	4	26	maharashtra	maharashtra	PROPN
cana-1248	4	27	,	,	PUNCT
cana-1248	4	28	india	india	PROPN
cana-1248	4	29	.	.	PUNCT
cana-1248	5	1	milinddndale@gmail.com	milinddndale@gmail.com	X
cana-1248	6	1	2associate	2associate	NUM
cana-1248	6	2	professor	professor	NOUN
cana-1248	6	3	,	,	PUNCT
cana-1248	6	4	department	department	NOUN
cana-1248	6	5	of	of	ADP
cana-1248	6	6	electronics	electronic	NOUN
cana-1248	6	7	and	and	CCONJ
cana-1248	6	8	computer	computer	NOUN
cana-1248	6	9	engineering	engineering	NOUN
cana-1248	6	10	,	,	PUNCT
cana-1248	6	11	sharad	sharad	PROPN
cana-1248	6	12	institute	institute	PROPN
cana-1248	6	13	of	of	ADP
cana-1248	6	14	technology	technology	PROPN
cana-1248	6	15	college	college	NOUN
cana-1248	6	16	of	of	ADP
cana-1248	6	17	engineering	engineering	NOUN
cana-1248	6	18	,	,	PUNCT
cana-1248	6	19	yadrav	yadrav	NOUN
cana-1248	6	20	,	,	PUNCT
cana-1248	6	21	ichalkaranji	ichalkaranji	X
cana-1248	6	22	,	,	PUNCT
cana-1248	6	23	maharashtra	maharashtra	PROPN
cana-1248	6	24	,	,	PUNCT
cana-1248	6	25	india	india	PROPN
cana-1248	6	26	.	.	PUNCT
cana-1248	7	1	pspatil@sitcoe.org.in	pspatil@sitcoe.org.in	ADJ
cana-1248	7	2	3associate	3associate	NUM
cana-1248	7	3	professor	professor	NOUN
cana-1248	7	4	,	,	PUNCT
cana-1248	7	5	department	department	NOUN
cana-1248	7	6	of	of	ADP
cana-1248	7	7	computer	computer	NOUN
cana-1248	7	8	applications	application	NOUN
cana-1248	7	9	,	,	PUNCT
cana-1248	7	10	mepco	mepco	NOUN
cana-1248	7	11	schlenk	schlenk	PROPN
cana-1248	7	12	engineering	engineering	PROPN
cana-1248	7	13	college	college	PROPN
cana-1248	7	14	,	,	PUNCT
cana-1248	7	15	sivakasi	sivakasi	NOUN
cana-1248	7	16	,	,	PUNCT
cana-1248	7	17	tamilnadu	tamilnadu	NOUN
cana-1248	7	18	,	,	PUNCT
cana-1248	7	19	india	india	PROPN
cana-1248	7	20	.	.	PUNCT
cana-1248	8	1	navindhinneshadc@mepcoeng.ac.in	navindhinneshadc@mepcoeng.ac.in	ADP
cana-1248	8	2	4assistant	4assistant	NUM
cana-1248	8	3	professor	professor	NOUN
cana-1248	8	4	,	,	PUNCT
cana-1248	8	5	department	department	PROPN
cana-1248	8	6	of	of	ADP
cana-1248	8	7	ece	ece	PROPN
cana-1248	8	8	,	,	PUNCT
cana-1248	8	9	nandha	nandha	NOUN
cana-1248	8	10	engineering	engineering	PROPN
cana-1248	8	11	college	college	NOUN
cana-1248	8	12	,	,	PUNCT
cana-1248	8	13	erode	erode	VERB
cana-1248	8	14	,	,	PUNCT
cana-1248	8	15	tamilnadu	tamilnadu	NOUN
cana-1248	8	16	,	,	PUNCT
cana-1248	8	17	india	india	PROPN
cana-1248	8	18	.	.	PUNCT
cana-1248	9	1	monicarajam@gmail.com	monicarajam@gmail.com	X
cana-1248	10	1	5assistant	5assistant	NUM
cana-1248	10	2	professor	professor	NOUN
cana-1248	10	3	,	,	PUNCT
cana-1248	10	4	department	department	PROPN
cana-1248	10	5	of	of	ADP
cana-1248	10	6	ece	ece	PROPN
cana-1248	10	7	,	,	PUNCT
cana-1248	10	8	vignan	vignan	NOUN
cana-1248	10	9	's	's	PART
cana-1248	10	10	institute	institute	NOUN
cana-1248	10	11	of	of	ADP
cana-1248	10	12	engineering	engineering	NOUN
cana-1248	10	13	for	for	ADP
cana-1248	10	14	women	woman	NOUN
cana-1248	10	15	,	,	PUNCT
cana-1248	10	16	visakhapatnam	visakhapatnam	PROPN
cana-1248	10	17	,	,	PUNCT
cana-1248	10	18	andhra	andhra	PROPN
cana-1248	10	19	pradesh	pradesh	PROPN
cana-1248	10	20	,	,	PUNCT
cana-1248	10	21	india	india	PROPN
cana-1248	10	22	.	.	PUNCT
cana-1248	11	1	harieceview@gmail.com	harieceview@gmail.com	X
cana-1248	12	1	6assistant	6assistant	NUM
cana-1248	12	2	professor	professor	NOUN
cana-1248	12	3	(	(	PUNCT
cana-1248	12	4	senior	senior	ADJ
cana-1248	12	5	grade	grade	NOUN
cana-1248	12	6	)	)	PUNCT
cana-1248	12	7	,	,	PUNCT
cana-1248	12	8	department	department	NOUN
cana-1248	12	9	of	of	ADP
cana-1248	12	10	mechanical	mechanical	ADJ
cana-1248	12	11	engineering	engineering	NOUN
cana-1248	12	12	,	,	PUNCT
cana-1248	12	13	maharishi	maharishi	PROPN
cana-1248	12	14	markandeshwar	markandeshwar	PROPN
cana-1248	12	15	(	(	PUNCT
cana-1248	12	16	deemed	deem	VERB
cana-1248	12	17	to	to	PART
cana-1248	12	18	be	be	AUX
cana-1248	12	19	university	university	NOUN
cana-1248	12	20	)	)	PUNCT
cana-1248	12	21	,	,	PUNCT
cana-1248	12	22	mullana	mullana	PROPN
cana-1248	12	23	,	,	PUNCT
cana-1248	12	24	haryana	haryana	PROPN
cana-1248	12	25	,	,	PUNCT
cana-1248	12	26	india	india	PROPN
cana-1248	12	27	.	.	PUNCT
cana-1248	13	1	gkalra89@gmail.com	gkalra89@gmail.com	X
cana-1248	13	2	article	article	NOUN
cana-1248	13	3	history	history	NOUN
cana-1248	13	4	:	:	PUNCT
cana-1248	13	5	received	receive	VERB
cana-1248	13	6	:	:	PUNCT
cana-1248	13	7	20	20	NUM
cana-1248	13	8	-	-	SYM
cana-1248	13	9	06	06	NUM
cana-1248	13	10	-	-	PUNCT
cana-1248	13	11	2024	2024	NUM
cana-1248	13	12	revised	revise	VERB
cana-1248	13	13	:	:	PUNCT
cana-1248	13	14	22	22	NUM
cana-1248	13	15	-	-	SYM
cana-1248	13	16	07	07	NUM
cana-1248	13	17	-	-	PUNCT
cana-1248	13	18	2024	2024	NUM
cana-1248	13	19	accepted	accept	VERB
cana-1248	13	20	:	:	PUNCT
cana-1248	13	21	10	10	NUM
cana-1248	13	22	-	-	SYM
cana-1248	13	23	08	08	NUM
cana-1248	13	24	-	-	PUNCT
cana-1248	13	25	2024	2024	NUM
cana-1248	13	26	abstract	abstract	NOUN
cana-1248	13	27	:	:	PUNCT
cana-1248	13	28	the	the	DET
cana-1248	13	29	proliferation	proliferation	NOUN
cana-1248	13	30	of	of	ADP
cana-1248	13	31	malicious	malicious	ADJ
cana-1248	13	32	components	component	NOUN
cana-1248	13	33	seriously	seriously	ADV
cana-1248	13	34	threatens	threaten	VERB
cana-1248	13	35	network	network	NOUN
cana-1248	13	36	integrity	integrity	NOUN
cana-1248	13	37	and	and	CCONJ
cana-1248	13	38	performance	performance	NOUN
cana-1248	13	39	in	in	ADP
cana-1248	13	40	wireless	wireless	ADJ
cana-1248	13	41	security	security	NOUN
cana-1248	13	42	.	.	PUNCT
cana-1248	14	1	conventional	conventional	ADJ
cana-1248	14	2	methods	method	NOUN
cana-1248	14	3	of	of	ADP
cana-1248	14	4	solving	solve	VERB
cana-1248	14	5	this	this	DET
cana-1248	14	6	problem	problem	NOUN
cana-1248	14	7	might	might	AUX
cana-1248	14	8	not	not	PART
cana-1248	14	9	be	be	AUX
cana-1248	14	10	able	able	ADJ
cana-1248	14	11	to	to	PART
cana-1248	14	12	adequately	adequately	ADV
cana-1248	14	13	depict	depict	VERB
cana-1248	14	14	the	the	DET
cana-1248	14	15	complexity	complexity	NOUN
cana-1248	14	16	of	of	ADP
cana-1248	14	17	nonlinear	nonlinear	ADJ
cana-1248	14	18	interactions	interaction	NOUN
cana-1248	14	19	and	and	CCONJ
cana-1248	14	20	dynamics	dynamic	NOUN
cana-1248	14	21	.	.	PUNCT
cana-1248	15	1	this	this	DET
cana-1248	15	2	paper	paper	NOUN
cana-1248	15	3	offers	offer	VERB
cana-1248	15	4	a	a	DET
cana-1248	15	5	new	new	ADJ
cana-1248	15	6	mathematical	mathematical	ADJ
cana-1248	15	7	model	model	NOUN
cana-1248	15	8	combining	combine	VERB
cana-1248	15	9	nonlinear	nonlinear	ADJ
cana-1248	15	10	fractional	fractional	ADJ
cana-1248	15	11	objective	objective	ADJ
cana-1248	15	12	functions	function	NOUN
cana-1248	15	13	inside	inside	ADP
cana-1248	15	14	artificial	artificial	ADJ
cana-1248	15	15	neural	neural	ADJ
cana-1248	15	16	networks	network	NOUN
cana-1248	15	17	(	(	PUNCT
cana-1248	15	18	anns	anns	PROPN
cana-1248	15	19	)	)	PUNCT
cana-1248	15	20	,	,	PUNCT
cana-1248	15	21	hence	hence	ADV
cana-1248	15	22	improving	improve	VERB
cana-1248	15	23	the	the	DET
cana-1248	15	24	detection	detection	NOUN
cana-1248	15	25	and	and	CCONJ
cana-1248	15	26	control	control	NOUN
cana-1248	15	27	of	of	ADP
cana-1248	15	28	malicious	malicious	ADJ
cana-1248	15	29	node	node	ADJ
cana-1248	15	30	propagation	propagation	NOUN
cana-1248	15	31	.	.	PUNCT
cana-1248	16	1	background	background	NOUN
cana-1248	16	2	research	research	NOUN
cana-1248	16	3	indicates	indicate	VERB
cana-1248	16	4	that	that	SCONJ
cana-1248	16	5	conventional	conventional	ADJ
cana-1248	16	6	approaches	approach	NOUN
cana-1248	16	7	struggle	struggle	VERB
cana-1248	16	8	to	to	PART
cana-1248	16	9	handle	handle	VERB
cana-1248	16	10	the	the	DET
cana-1248	16	11	irregular	irregular	ADJ
cana-1248	16	12	nature	nature	NOUN
cana-1248	16	13	of	of	ADP
cana-1248	16	14	hostile	hostile	ADJ
cana-1248	16	15	behavior	behavior	NOUN
cana-1248	16	16	and	and	CCONJ
cana-1248	16	17	its	its	PRON
cana-1248	16	18	consequences	consequence	NOUN
cana-1248	16	19	on	on	ADP
cana-1248	16	20	network	network	NOUN
cana-1248	16	21	stability	stability	NOUN
cana-1248	16	22	.	.	PUNCT
cana-1248	17	1	we	we	PRON
cana-1248	17	2	present	present	VERB
cana-1248	17	3	a	a	DET
cana-1248	17	4	deep	deep	ADJ
cana-1248	17	5	ann	ann	NOUN
cana-1248	17	6	framework	framework	NOUN
cana-1248	17	7	to	to	PART
cana-1248	17	8	integrate	integrate	VERB
cana-1248	17	9	fractional	fractional	ADJ
cana-1248	17	10	calculus	calculus	NOUN
cana-1248	17	11	,	,	PUNCT
cana-1248	17	12	which	which	PRON
cana-1248	17	13	predicts	predict	VERB
cana-1248	17	14	the	the	DET
cana-1248	17	15	nonlinear	nonlinear	ADJ
cana-1248	17	16	dynamics	dynamic	NOUN
cana-1248	17	17	of	of	ADP
cana-1248	17	18	malicious	malicious	ADJ
cana-1248	17	19	node	node	NOUN
cana-1248	17	20	spread	spread	NOUN
cana-1248	17	21	,	,	PUNCT
cana-1248	17	22	so	so	ADV
cana-1248	17	23	improving	improve	VERB
cana-1248	17	24	detection	detection	NOUN
cana-1248	17	25	accuracy	accuracy	NOUN
cana-1248	17	26	and	and	CCONJ
cana-1248	17	27	reaction	reaction	NOUN
cana-1248	17	28	strategies	strategy	NOUN
cana-1248	17	29	.	.	PUNCT
cana-1248	18	1	the	the	DET
cana-1248	18	2	fractional	fractional	ADJ
cana-1248	18	3	objective	objective	ADJ
cana-1248	18	4	function	function	NOUN
cana-1248	18	5	enables	enable	VERB
cana-1248	18	6	the	the	DET
cana-1248	18	7	model	model	NOUN
cana-1248	18	8	to	to	PART
cana-1248	18	9	better	well	ADV
cana-1248	18	10	adapt	adapt	VERB
cana-1248	18	11	to	to	ADP
cana-1248	18	12	real	real	ADJ
cana-1248	18	13	-	-	PUNCT
cana-1248	18	14	time	time	NOUN
cana-1248	18	15	network	network	NOUN
cana-1248	18	16	changes	change	NOUN
cana-1248	18	17	by	by	ADP
cana-1248	18	18	considering	consider	VERB
cana-1248	18	19	the	the	DET
cana-1248	18	20	complicated	complicated	ADJ
cana-1248	18	21	,	,	PUNCT
cana-1248	18	22	time	time	NOUN
cana-1248	18	23	-	-	PUNCT
cana-1248	18	24	dependent	dependent	ADJ
cana-1248	18	25	character	character	NOUN
cana-1248	18	26	of	of	ADP
cana-1248	18	27	attack	attack	NOUN
cana-1248	18	28	propagation	propagation	NOUN
cana-1248	18	29	.	.	PUNCT
cana-1248	19	1	our	our	PRON
cana-1248	19	2	approach	approach	NOUN
cana-1248	19	3	seems	seem	VERB
cana-1248	19	4	to	to	PART
cana-1248	19	5	be	be	AUX
cana-1248	19	6	successful	successful	ADJ
cana-1248	19	7	experimentally	experimentally	ADV
cana-1248	19	8	;	;	PUNCT
cana-1248	19	9	false	false	ADJ
cana-1248	19	10	positives	positive	NOUN
cana-1248	19	11	are	be	AUX
cana-1248	19	12	reduced	reduce	VERB
cana-1248	19	13	and	and	CCONJ
cana-1248	19	14	detection	detection	NOUN
cana-1248	19	15	rates	rate	NOUN
cana-1248	19	16	are	be	AUX
cana-1248	19	17	considerably	considerably	ADV
cana-1248	19	18	raised	raise	VERB
cana-1248	19	19	.	.	PUNCT
cana-1248	20	1	our	our	PRON
cana-1248	20	2	strategy	strategy	NOUN
cana-1248	20	3	especially	especially	ADV
cana-1248	20	4	improved	improve	VERB
cana-1248	20	5	detection	detection	NOUN
cana-1248	20	6	accuracy	accuracy	NOUN
cana-1248	20	7	by	by	ADP
cana-1248	20	8	20	20	NUM
cana-1248	20	9	%	%	NOUN
cana-1248	20	10	above	above	ADP
cana-1248	20	11	baseline	baseline	NOUN
cana-1248	20	12	methods	method	NOUN
cana-1248	20	13	and	and	CCONJ
cana-1248	20	14	lowered	lower	VERB
cana-1248	20	15	false	false	ADJ
cana-1248	20	16	positive	positive	ADJ
cana-1248	20	17	rates	rate	NOUN
cana-1248	20	18	by	by	ADP
cana-1248	20	19	15	15	NUM
cana-1248	20	20	%	%	NOUN
cana-1248	20	21	.	.	PUNCT
cana-1248	21	1	these	these	DET
cana-1248	21	2	results	result	NOUN
cana-1248	21	3	show	show	VERB
cana-1248	21	4	how	how	SCONJ
cana-1248	21	5	effectively	effectively	ADV
cana-1248	21	6	nonlinear	nonlinear	ADJ
cana-1248	21	7	fractional	fractional	ADJ
cana-1248	21	8	models	model	NOUN
cana-1248	21	9	could	could	AUX
cana-1248	21	10	enhance	enhance	VERB
cana-1248	21	11	security	security	NOUN
cana-1248	21	12	of	of	ADP
cana-1248	21	13	wireless	wireless	ADJ
cana-1248	21	14	networks	network	NOUN
cana-1248	21	15	.	.	PUNCT
cana-1248	22	1	in	in	ADP
cana-1248	22	2	addressing	address	VERB
cana-1248	22	3	the	the	DET
cana-1248	22	4	issues	issue	NOUN
cana-1248	22	5	generated	generate	VERB
cana-1248	22	6	by	by	ADP
cana-1248	22	7	hostile	hostile	ADJ
cana-1248	22	8	nodes	node	NOUN
cana-1248	22	9	in	in	ADP
cana-1248	22	10	dynamic	dynamic	ADJ
cana-1248	22	11	wireless	wireless	NOUN
cana-1248	22	12	systems	system	NOUN
cana-1248	22	13	,	,	PUNCT
cana-1248	22	14	the	the	DET
cana-1248	22	15	suggested	suggest	VERB
cana-1248	22	16	method	method	NOUN
cana-1248	22	17	represents	represent	VERB
cana-1248	22	18	a	a	DET
cana-1248	22	19	significant	significant	ADJ
cana-1248	22	20	development	development	NOUN
cana-1248	22	21	.	.	PUNCT
cana-1248	23	1	keywords	keyword	NOUN
cana-1248	23	2	:	:	PUNCT
cana-1248	23	3	nonlinear	nonlinear	ADJ
cana-1248	23	4	dynamics	dynamic	NOUN
cana-1248	23	5	,	,	PUNCT
cana-1248	23	6	fractional	fractional	ADJ
cana-1248	23	7	calculus	calculus	NOUN
cana-1248	23	8	,	,	PUNCT
cana-1248	23	9	artificial	artificial	ADJ
cana-1248	23	10	neural	neural	ADJ
cana-1248	23	11	networks	network	NOUN
cana-1248	23	12	,	,	PUNCT
cana-1248	23	13	malicious	malicious	ADJ
cana-1248	23	14	nodes	node	NOUN
cana-1248	23	15	,	,	PUNCT
cana-1248	23	16	wireless	wireless	ADJ
cana-1248	23	17	security	security	NOUN
cana-1248	23	18	1	1	NUM
cana-1248	23	19	.	.	PUNCT
cana-1248	23	20	introduction	introduction	NOUN
cana-1248	23	21	in	in	ADP
cana-1248	23	22	network	network	NOUN
cana-1248	23	23	security	security	NOUN
cana-1248	23	24	,	,	PUNCT
cana-1248	23	25	safeguarding	safeguard	VERB
cana-1248	23	26	digital	digital	ADJ
cana-1248	23	27	infrastructues	infrastructue	NOUN
cana-1248	23	28	depends	depend	VERB
cana-1248	23	29	on	on	ADP
cana-1248	23	30	the	the	DET
cana-1248	23	31	identification	identification	NOUN
cana-1248	23	32	and	and	CCONJ
cana-1248	23	33	minimization	minimization	NOUN
cana-1248	23	34	of	of	ADP
cana-1248	23	35	hostile	hostile	ADJ
cana-1248	23	36	activities	activity	NOUN
cana-1248	23	37	.	.	PUNCT
cana-1248	24	1	as	as	SCONJ
cana-1248	24	2	cyber	cyber	PROPN
cana-1248	24	3	threats	threat	NOUN
cana-1248	24	4	change	change	VERB
cana-1248	24	5	fast	fast	ADV
cana-1248	24	6	,	,	PUNCT
cana-1248	24	7	traditional	traditional	ADJ
cana-1248	24	8	methods	method	NOUN
cana-1248	24	9	of	of	ADP
cana-1248	24	10	intrusion	intrusion	NOUN
cana-1248	24	11	detection	detection	NOUN
cana-1248	24	12	have	have	AUX
cana-1248	24	13	found	find	VERB
cana-1248	24	14	it	it	PRON
cana-1248	24	15	difficult	difficult	ADJ
cana-1248	24	16	to	to	PART
cana-1248	24	17	keep	keep	VERB
cana-1248	24	18	up	up	ADP
cana-1248	24	19	with	with	ADP
cana-1248	24	20	more	more	ADV
cana-1248	24	21	intricate	intricate	ADJ
cana-1248	24	22	assault	assault	NOUN
cana-1248	24	23	strategies	strategy	NOUN
cana-1248	24	24	.	.	PUNCT
cana-1248	25	1	among	among	ADP
cana-1248	25	2	these	these	DET
cana-1248	25	3	threats	threat	NOUN
cana-1248	25	4	,	,	PUNCT
cana-1248	25	5	worms	worm	NOUN
cana-1248	25	6	like	like	ADP
cana-1248	25	7	the	the	DET
cana-1248	25	8	codered	codere	VERB
cana-1248	25	9	series	series	NOUN
cana-1248	25	10	have	have	AUX
cana-1248	25	11	shown	show	VERB
cana-1248	25	12	great	great	ADJ
cana-1248	25	13	disruptive	disruptive	ADJ
cana-1248	25	14	potential	potential	ADJ
cana-1248	25	15	and	and	CCONJ
cana-1248	25	16	fast	fast	ADJ
cana-1248	25	17	spread	spread	ADJ
cana-1248	25	18	capability	capability	NOUN
cana-1248	25	19	.	.	PUNCT
cana-1248	26	1	beginning	begin	VERB
cana-1248	26	2	from	from	ADP
cana-1248	26	3	flaws	flaw	NOUN
cana-1248	26	4	in	in	ADP
cana-1248	26	5	microsoft	microsoft	PROPN
cana-1248	26	6	's	's	PART
cana-1248	26	7	iis	iis	PROPN
cana-1248	26	8	webserver	webserver	NOUN
cana-1248	26	9	,	,	PUNCT
cana-1248	26	10	the	the	DET
cana-1248	26	11	code	code	NOUN
cana-1248	26	12	-	-	PUNCT
cana-1248	26	13	red	red	ADJ
cana-1248	26	14	worms	worm	NOUN
cana-1248	26	15	—	—	PUNCT
cana-1248	26	16	including	include	VERB
cana-1248	26	17	variants	variant	NOUN
cana-1248	26	18	like	like	ADP
cana-1248	26	19	code	code	NOUN
cana-1248	26	20	-	-	PUNCT
cana-1248	26	21	red	red	NOUN
cana-1248	26	22	v1	v1	NOUN
cana-1248	26	23	,	,	PUNCT
cana-1248	26	24	code	code	NOUN
cana-1248	26	25	-	-	PUNCT
cana-1248	26	26	red	red	NOUN
cana-1248	26	27	v2	v2	PROPN
cana-1248	26	28	,	,	PUNCT
cana-1248	26	29	communications	communication	NOUN
cana-1248	26	30	on	on	ADP
cana-1248	26	31	applied	apply	VERB
cana-1248	26	32	nonlinear	nonlinear	ADJ
cana-1248	26	33	analysis	analysis	NOUN
cana-1248	26	34	issn	issn	NOUN
cana-1248	26	35	:	:	PUNCT
cana-1248	26	36	1074	1074	NUM
cana-1248	26	37	-	-	PUNCT
cana-1248	26	38	133x	133x	NUM
cana-1248	26	39	vol	vol	NOUN
cana-1248	26	40	31	31	NUM
cana-1248	26	41	no	no	NOUN
cana-1248	26	42	.	.	PUNCT
cana-1248	27	1	6s	6s	NUM
cana-1248	27	2	(	(	PUNCT
cana-1248	27	3	2024	2024	NUM
cana-1248	27	4	)	)	PUNCT
cana-1248	27	5	619	619	NUM
cana-1248	27	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	27	7	and	and	CCONJ
cana-1248	27	8	code	code	NOUN
cana-1248	27	9	-	-	PUNCT
cana-1248	27	10	red	red	PROPN
cana-1248	27	11	ii	ii	PROPN
cana-1248	27	12	—	—	PUNCT
cana-1248	27	13	used	use	VERB
cana-1248	27	14	the	the	DET
cana-1248	27	15	same	same	ADJ
cana-1248	27	16	vulnerabilities	vulnerability	NOUN
cana-1248	27	17	but	but	CCONJ
cana-1248	27	18	varied	varied	ADJ
cana-1248	27	19	in	in	ADP
cana-1248	27	20	their	their	PRON
cana-1248	27	21	spread	spread	ADJ
cana-1248	27	22	techniques	technique	NOUN
cana-1248	27	23	and	and	CCONJ
cana-1248	27	24	impacts	impact	NOUN
cana-1248	27	25	.	.	PUNCT
cana-1248	28	1	improving	improve	VERB
cana-1248	28	2	general	general	ADJ
cana-1248	28	3	network	network	NOUN
cana-1248	28	4	security	security	NOUN
cana-1248	28	5	and	and	CCONJ
cana-1248	28	6	developing	develop	VERB
cana-1248	28	7	effective	effective	ADJ
cana-1248	28	8	countermeasures	countermeasure	NOUN
cana-1248	28	9	depend	depend	VERB
cana-1248	28	10	on	on	ADP
cana-1248	28	11	a	a	DET
cana-1248	28	12	study	study	NOUN
cana-1248	28	13	and	and	CCONJ
cana-1248	28	14	knowledge	knowledge	NOUN
cana-1248	28	15	of	of	ADP
cana-1248	28	16	the	the	DET
cana-1248	28	17	distribution	distribution	NOUN
cana-1248	28	18	of	of	ADP
cana-1248	28	19	such	such	ADJ
cana-1248	28	20	worms	worm	NOUN
cana-1248	28	21	.	.	PUNCT
cana-1248	29	1	the	the	DET
cana-1248	29	2	study	study	NOUN
cana-1248	29	3	of	of	ADP
cana-1248	29	4	malicious	malicious	ADJ
cana-1248	29	5	code	code	NOUN
cana-1248	29	6	propagation	propagation	NOUN
cana-1248	29	7	faces	face	VERB
cana-1248	29	8	several	several	ADJ
cana-1248	29	9	challenges	challenge	NOUN
cana-1248	29	10	:	:	PUNCT
cana-1248	29	11	1	1	X
cana-1248	29	12	.	.	X
cana-1248	29	13	dynamic	dynamic	ADJ
cana-1248	29	14	nature	nature	NOUN
cana-1248	29	15	of	of	ADP
cana-1248	29	16	worms	worm	NOUN
cana-1248	29	17	:	:	PUNCT
cana-1248	29	18	one	one	NUM
cana-1248	29	19	regularly	regularly	ADV
cana-1248	29	20	changes	change	VERB
cana-1248	29	21	their	their	PRON
cana-1248	29	22	means	mean	NOUN
cana-1248	29	23	of	of	ADP
cana-1248	29	24	reproduction	reproduction	NOUN
cana-1248	29	25	and	and	CCONJ
cana-1248	29	26	develops	develop	VERB
cana-1248	29	27	quickly	quickly	ADV
cana-1248	29	28	from	from	ADP
cana-1248	29	29	worms	worm	NOUN
cana-1248	29	30	.	.	PUNCT
cana-1248	30	1	static	static	ADJ
cana-1248	30	2	detection	detection	NOUN
cana-1248	30	3	techniques	technique	NOUN
cana-1248	30	4	can	can	AUX
cana-1248	30	5	not	not	PART
cana-1248	30	6	match	match	VERB
cana-1248	30	7	this	this	DET
cana-1248	30	8	dynamism	dynamism	NOUN
cana-1248	30	9	.	.	PUNCT
cana-1248	31	1	2	2	X
cana-1248	31	2	.	.	X
cana-1248	31	3	volume	volume	NOUN
cana-1248	31	4	and	and	CCONJ
cana-1248	31	5	variety	variety	NOUN
cana-1248	31	6	of	of	ADP
cana-1248	31	7	network	network	NOUN
cana-1248	31	8	traffic	traffic	NOUN
cana-1248	31	9	:	:	PUNCT
cana-1248	31	10	volume	volume	NOUN
cana-1248	31	11	and	and	CCONJ
cana-1248	31	12	fluctuation	fluctuation	NOUN
cana-1248	31	13	of	of	ADP
cana-1248	31	14	network	network	NOUN
cana-1248	31	15	traffic	traffic	NOUN
cana-1248	31	16	are	be	AUX
cana-1248	31	17	critical	critical	ADJ
cana-1248	31	18	problems	problem	NOUN
cana-1248	31	19	since	since	SCONJ
cana-1248	31	20	daily	daily	ADJ
cana-1248	31	21	development	development	NOUN
cana-1248	31	22	of	of	ADP
cana-1248	31	23	enormous	enormous	ADJ
cana-1248	31	24	volumes	volume	NOUN
cana-1248	31	25	of	of	ADP
cana-1248	31	26	data	datum	NOUN
cana-1248	31	27	by	by	ADP
cana-1248	31	28	networks	network	NOUN
cana-1248	31	29	contains	contain	VERB
cana-1248	31	30	both	both	DET
cana-1248	31	31	valid	valid	ADJ
cana-1248	31	32	and	and	CCONJ
cana-1248	31	33	malicious	malicious	ADJ
cana-1248	31	34	traffic	traffic	NOUN
cana-1248	31	35	.	.	PUNCT
cana-1248	32	1	differentiating	differentiate	VERB
cana-1248	32	2	the	the	DET
cana-1248	32	3	two	two	NUM
cana-1248	32	4	and	and	CCONJ
cana-1248	32	5	accurately	accurately	ADV
cana-1248	32	6	pointing	point	VERB
cana-1248	32	7	out	out	ADP
cana-1248	32	8	malicious	malicious	ADJ
cana-1248	32	9	behavior	behavior	NOUN
cana-1248	32	10	still	still	ADV
cana-1248	32	11	remain	remain	VERB
cana-1248	32	12	challenging	challenging	ADJ
cana-1248	32	13	jobs	job	NOUN
cana-1248	32	14	.	.	PUNCT
cana-1248	33	1	3	3	X
cana-1248	33	2	.	.	X
cana-1248	33	3	data	datum	NOUN
cana-1248	33	4	imbalance	imbalance	NOUN
cana-1248	33	5	:	:	PUNCT
cana-1248	33	6	sometimes	sometimes	ADV
cana-1248	33	7	more	more	ADV
cana-1248	33	8	benign	benign	ADJ
cana-1248	33	9	traffic	traffic	NOUN
cana-1248	33	10	obscures	obscure	VERB
cana-1248	33	11	malicious	malicious	ADJ
cana-1248	33	12	occurrences	occurrence	NOUN
cana-1248	33	13	,	,	PUNCT
cana-1248	33	14	leading	lead	VERB
cana-1248	33	15	to	to	ADP
cana-1248	33	16	distorted	distorted	ADJ
cana-1248	33	17	datasets	dataset	NOUN
cana-1248	33	18	questioning	question	VERB
cana-1248	33	19	the	the	DET
cana-1248	33	20	effectiveness	effectiveness	NOUN
cana-1248	33	21	of	of	ADP
cana-1248	33	22	detection	detection	NOUN
cana-1248	33	23	methods	method	NOUN
cana-1248	33	24	.	.	PUNCT
cana-1248	34	1	4	4	X
cana-1248	34	2	.	.	NOUN
cana-1248	34	3	false	false	ADJ
cana-1248	34	4	positives	positive	NOUN
cana-1248	34	5	and	and	CCONJ
cana-1248	34	6	negatives	negative	NOUN
cana-1248	34	7	:	:	PUNCT
cana-1248	34	8	maintaining	maintain	VERB
cana-1248	34	9	network	network	NOUN
cana-1248	34	10	integrity	integrity	NOUN
cana-1248	34	11	requires	require	VERB
cana-1248	34	12	balancing	balance	VERB
cana-1248	34	13	the	the	DET
cana-1248	34	14	trade	trade	NOUN
cana-1248	34	15	-	-	PUNCT
cana-1248	34	16	off	off	NOUN
cana-1248	34	17	between	between	ADP
cana-1248	34	18	false	false	ADJ
cana-1248	34	19	negatives	negative	NOUN
cana-1248	34	20	—	—	PUNCT
cana-1248	34	21	failed	fail	VERB
cana-1248	34	22	to	to	PART
cana-1248	34	23	identify	identify	VERB
cana-1248	34	24	actual	actual	ADJ
cana-1248	34	25	threats	threat	NOUN
cana-1248	34	26	—	—	PUNCT
cana-1248	34	27	and	and	CCONJ
cana-1248	34	28	false	false	ADJ
cana-1248	34	29	positives	positive	NOUN
cana-1248	34	30	—	—	PUNCT
cana-1248	34	31	incorrectly	incorrectly	ADV
cana-1248	34	32	identifying	identify	VERB
cana-1248	34	33	benign	benign	ADJ
cana-1248	34	34	traffic	traffic	NOUN
cana-1248	34	35	as	as	ADP
cana-1248	34	36	dangerous	dangerous	ADJ
cana-1248	34	37	.	.	PUNCT
cana-1248	35	1	particularly	particularly	ADV
cana-1248	35	2	with	with	ADP
cana-1248	35	3	reference	reference	NOUN
cana-1248	35	4	to	to	PART
cana-1248	35	5	worm	worm	NOUN
cana-1248	35	6	attacks	attack	NOUN
cana-1248	35	7	like	like	ADP
cana-1248	35	8	those	those	PRON
cana-1248	35	9	carried	carry	VERB
cana-1248	35	10	out	out	ADP
cana-1248	35	11	by	by	ADP
cana-1248	35	12	code	code	NOUN
cana-1248	35	13	-	-	PUNCT
cana-1248	35	14	red	red	ADJ
cana-1248	35	15	variants	variant	NOUN
cana-1248	35	16	,	,	PUNCT
cana-1248	35	17	this	this	DET
cana-1248	35	18	work	work	NOUN
cana-1248	35	19	tackles	tackle	VERB
cana-1248	35	20	the	the	DET
cana-1248	35	21	core	core	NOUN
cana-1248	35	22	issue	issue	NOUN
cana-1248	35	23	of	of	ADP
cana-1248	35	24	the	the	DET
cana-1248	35	25	demand	demand	NOUN
cana-1248	35	26	for	for	ADP
cana-1248	35	27	an	an	DET
cana-1248	35	28	advanced	advanced	ADJ
cana-1248	35	29	,	,	PUNCT
cana-1248	35	30	trustworthy	trustworthy	ADJ
cana-1248	35	31	approach	approach	NOUN
cana-1248	35	32	for	for	ADP
cana-1248	35	33	identifying	identify	VERB
cana-1248	35	34	and	and	CCONJ
cana-1248	35	35	evaluating	evaluate	VERB
cana-1248	35	36	hazardous	hazardous	ADJ
cana-1248	35	37	code	code	NOUN
cana-1248	35	38	propagation	propagation	NOUN
cana-1248	35	39	.	.	PUNCT
cana-1248	36	1	fractal	fractal	ADJ
cana-1248	36	2	-	-	PUNCT
cana-1248	36	3	fractional	fractional	ADJ
cana-1248	36	4	(	(	PUNCT
cana-1248	36	5	ff	ff	NOUN
cana-1248	36	6	)	)	PUNCT
cana-1248	36	7	model	model	NOUN
cana-1248	36	8	,	,	PUNCT
cana-1248	36	9	delayed	delay	VERB
cana-1248	36	10	seirv	seirv	NOUN
cana-1248	36	11	model	model	NOUN
cana-1248	36	12	,	,	PUNCT
cana-1248	36	13	fractal	fractal	ADJ
cana-1248	36	14	fractional	fractional	ADJ
cana-1248	36	15	neural	neural	ADJ
cana-1248	36	16	networks	network	NOUN
cana-1248	36	17	model	model	NOUN
cana-1248	36	18	,	,	PUNCT
cana-1248	36	19	caputo	caputo	PROPN
cana-1248	36	20	-	-	PUNCT
cana-1248	36	21	fabrizio	fabrizio	PROPN
cana-1248	36	22	fractional	fractional	ADJ
cana-1248	36	23	seir	seir	NOUN
cana-1248	36	24	model	model	NOUN
cana-1248	36	25	are	be	AUX
cana-1248	36	26	among	among	ADP
cana-1248	36	27	the	the	DET
cana-1248	36	28	numerous	numerous	ADJ
cana-1248	36	29	approaches	approach	NOUN
cana-1248	36	30	current	current	ADJ
cana-1248	36	31	models	model	NOUN
cana-1248	36	32	offer	offer	VERB
cana-1248	36	33	to	to	PART
cana-1248	36	34	imitate	imitate	VERB
cana-1248	36	35	worm	worm	NOUN
cana-1248	36	36	behavior	behavior	NOUN
cana-1248	36	37	and	and	CCONJ
cana-1248	36	38	network	network	NOUN
cana-1248	36	39	impact	impact	NOUN
cana-1248	36	40	.	.	PUNCT
cana-1248	37	1	these	these	DET
cana-1248	37	2	models	model	NOUN
cana-1248	37	3	,	,	PUNCT
cana-1248	37	4	however	however	ADV
cana-1248	37	5	,	,	PUNCT
cana-1248	37	6	usually	usually	ADV
cana-1248	37	7	find	find	VERB
cana-1248	37	8	it	it	PRON
cana-1248	37	9	difficult	difficult	ADJ
cana-1248	37	10	to	to	PART
cana-1248	37	11	authentically	authentically	ADV
cana-1248	37	12	capture	capture	VERB
cana-1248	37	13	the	the	DET
cana-1248	37	14	complex	complex	ADJ
cana-1248	37	15	dynamics	dynamic	NOUN
cana-1248	37	16	of	of	ADP
cana-1248	37	17	worm	worm	NOUN
cana-1248	37	18	propagation	propagation	NOUN
cana-1248	37	19	and	and	CCONJ
cana-1248	37	20	maintain	maintain	VERB
cana-1248	37	21	robustness	robustness	NOUN
cana-1248	37	22	throughout	throughout	ADP
cana-1248	37	23	a	a	DET
cana-1248	37	24	spectrum	spectrum	NOUN
cana-1248	37	25	of	of	ADP
cana-1248	37	26	network	network	NOUN
cana-1248	37	27	settings	setting	NOUN
cana-1248	37	28	and	and	CCONJ
cana-1248	37	29	data	datum	NOUN
cana-1248	37	30	variations	variation	NOUN
cana-1248	37	31	.	.	PUNCT
cana-1248	38	1	the	the	DET
cana-1248	38	2	objectives	objective	NOUN
cana-1248	38	3	of	of	ADP
cana-1248	38	4	this	this	DET
cana-1248	38	5	research	research	NOUN
cana-1248	38	6	are	be	AUX
cana-1248	38	7	:	:	PUNCT
cana-1248	38	8	1	1	X
cana-1248	38	9	.	.	PUNCT
cana-1248	38	10	to	to	PART
cana-1248	38	11	create	create	VERB
cana-1248	38	12	a	a	DET
cana-1248	38	13	novel	novel	ADJ
cana-1248	38	14	strategy	strategy	NOUN
cana-1248	38	15	integrating	integrate	VERB
cana-1248	38	16	advanced	advanced	ADJ
cana-1248	38	17	mathematical	mathematical	ADJ
cana-1248	38	18	models	model	NOUN
cana-1248	38	19	with	with	ADP
cana-1248	38	20	deep	deep	ADJ
cana-1248	38	21	learning	learning	NOUN
cana-1248	38	22	techniques	technique	NOUN
cana-1248	38	23	to	to	PART
cana-1248	38	24	raise	raise	VERB
cana-1248	38	25	the	the	DET
cana-1248	38	26	accuracy	accuracy	NOUN
cana-1248	38	27	and	and	CCONJ
cana-1248	38	28	efficiency	efficiency	NOUN
cana-1248	38	29	in	in	ADP
cana-1248	38	30	dangerous	dangerous	ADJ
cana-1248	38	31	code	code	NOUN
cana-1248	38	32	identification	identification	NOUN
cana-1248	38	33	.	.	PUNCT
cana-1248	39	1	2	2	X
cana-1248	39	2	.	.	PUNCT
cana-1248	39	3	to	to	PART
cana-1248	39	4	offer	offer	VERB
cana-1248	39	5	a	a	DET
cana-1248	39	6	system	system	NOUN
cana-1248	39	7	able	able	ADJ
cana-1248	39	8	to	to	PART
cana-1248	39	9	control	control	VERB
cana-1248	39	10	unbalanced	unbalanced	ADJ
cana-1248	39	11	datasets	dataset	NOUN
cana-1248	39	12	by	by	ADP
cana-1248	39	13	means	mean	NOUN
cana-1248	39	14	of	of	ADP
cana-1248	39	15	effective	effective	ADJ
cana-1248	39	16	traffic	traffic	NOUN
cana-1248	39	17	classification	classification	NOUN
cana-1248	39	18	between	between	ADP
cana-1248	39	19	benign	benign	ADJ
cana-1248	39	20	and	and	CCONJ
cana-1248	39	21	dangerous	dangerous	ADJ
cana-1248	39	22	activity	activity	NOUN
cana-1248	39	23	.	.	PUNCT
cana-1248	40	1	3	3	X
cana-1248	40	2	.	.	PUNCT
cana-1248	40	3	to	to	PART
cana-1248	40	4	acquire	acquire	VERB
cana-1248	40	5	higher	high	ADJ
cana-1248	40	6	accuracy	accuracy	NOUN
cana-1248	40	7	and	and	CCONJ
cana-1248	40	8	recall	recall	NOUN
cana-1248	40	9	in	in	ADP
cana-1248	40	10	identifying	identify	VERB
cana-1248	40	11	harmful	harmful	ADJ
cana-1248	40	12	activities	activity	NOUN
cana-1248	40	13	helps	help	VERB
cana-1248	40	14	to	to	PART
cana-1248	40	15	balance	balance	VERB
cana-1248	40	16	the	the	DET
cana-1248	40	17	trade	trade	NOUN
cana-1248	40	18	-	-	PUNCT
cana-1248	40	19	off	off	NOUN
cana-1248	40	20	between	between	ADP
cana-1248	40	21	false	false	ADJ
cana-1248	40	22	positives	positive	NOUN
cana-1248	40	23	and	and	CCONJ
cana-1248	40	24	false	false	ADJ
cana-1248	40	25	negatives	negative	NOUN
cana-1248	40	26	.	.	PUNCT
cana-1248	41	1	4	4	X
cana-1248	41	2	.	.	PUNCT
cana-1248	41	3	to	to	PART
cana-1248	41	4	show	show	VERB
cana-1248	41	5	its	its	PRON
cana-1248	41	6	success	success	NOUN
cana-1248	41	7	in	in	ADP
cana-1248	41	8	real	real	ADJ
cana-1248	41	9	-	-	PUNCT
cana-1248	41	10	world	world	NOUN
cana-1248	41	11	scenarios	scenario	NOUN
cana-1248	41	12	by	by	ADP
cana-1248	41	13	thoroughly	thoroughly	ADV
cana-1248	41	14	comparing	compare	VERB
cana-1248	41	15	the	the	DET
cana-1248	41	16	proposed	propose	VERB
cana-1248	41	17	method	method	NOUN
cana-1248	41	18	to	to	PART
cana-1248	41	19	present	present	ADJ
cana-1248	41	20	models	model	NOUN
cana-1248	41	21	using	use	VERB
cana-1248	41	22	many	many	ADJ
cana-1248	41	23	performance	performance	NOUN
cana-1248	41	24	metrics	metric	NOUN
cana-1248	41	25	.	.	PUNCT
cana-1248	42	1	combining	combine	VERB
cana-1248	42	2	artificial	artificial	ADJ
cana-1248	42	3	neural	neural	ADJ
cana-1248	42	4	networks	network	NOUN
cana-1248	42	5	(	(	PUNCT
cana-1248	42	6	anns	anns	PROPN
cana-1248	42	7	)	)	PUNCT
cana-1248	42	8	with	with	ADP
cana-1248	42	9	fractional	fractional	ADJ
cana-1248	42	10	calculation	calculation	NOUN
cana-1248	42	11	results	result	NOUN
cana-1248	42	12	in	in	ADP
cana-1248	42	13	a	a	DET
cana-1248	42	14	new	new	ADJ
cana-1248	42	15	element	element	NOUN
cana-1248	42	16	of	of	ADP
cana-1248	42	17	the	the	DET
cana-1248	42	18	proposed	propose	VERB
cana-1248	42	19	method	method	NOUN
cana-1248	42	20	:	:	PUNCT
cana-1248	42	21	modeling	modeling	NOUN
cana-1248	42	22	and	and	CCONJ
cana-1248	42	23	prediction	prediction	NOUN
cana-1248	42	24	of	of	ADP
cana-1248	42	25	detrimental	detrimental	ADJ
cana-1248	42	26	code	code	NOUN
cana-1248	42	27	behavior	behavior	NOUN
cana-1248	42	28	.	.	PUNCT
cana-1248	43	1	including	include	VERB
cana-1248	43	2	fractional	fractional	ADJ
cana-1248	43	3	differential	differential	ADJ
cana-1248	43	4	equations	equation	NOUN
cana-1248	43	5	into	into	ADP
cana-1248	43	6	the	the	DET
cana-1248	43	7	ann	ann	PROPN
cana-1248	43	8	design	design	NOUN
cana-1248	43	9	allows	allow	VERB
cana-1248	43	10	the	the	DET
cana-1248	43	11	method	method	NOUN
cana-1248	43	12	more	more	ADV
cana-1248	43	13	precisely	precisely	ADV
cana-1248	43	14	to	to	PART
cana-1248	43	15	capture	capture	VERB
cana-1248	43	16	the	the	DET
cana-1248	43	17	nonlinear	nonlinear	ADJ
cana-1248	43	18	dynamics	dynamic	NOUN
cana-1248	43	19	of	of	ADP
cana-1248	43	20	worm	worm	NOUN
cana-1248	43	21	propagation	propagation	NOUN
cana-1248	43	22	.	.	PUNCT
cana-1248	44	1	this	this	DET
cana-1248	44	2	approach	approach	NOUN
cana-1248	44	3	boosts	boost	VERB
cana-1248	44	4	the	the	DET
cana-1248	44	5	model	model	NOUN
cana-1248	44	6	's	's	PART
cana-1248	44	7	resistance	resistance	NOUN
cana-1248	44	8	against	against	ADP
cana-1248	44	9	dynamic	dynamic	ADJ
cana-1248	44	10	and	and	CCONJ
cana-1248	44	11	changing	change	VERB
cana-1248	44	12	risks	risk	NOUN
cana-1248	44	13	as	as	ADV
cana-1248	44	14	well	well	ADV
cana-1248	44	15	as	as	ADP
cana-1248	44	16	raises	raise	VERB
cana-1248	44	17	its	its	PRON
cana-1248	44	18	capacity	capacity	NOUN
cana-1248	44	19	to	to	PART
cana-1248	44	20	understand	understand	VERB
cana-1248	44	21	complex	complex	ADJ
cana-1248	44	22	patterns	pattern	NOUN
cana-1248	44	23	.	.	PUNCT
cana-1248	45	1	moreover	moreover	ADV
cana-1248	45	2	separating	separate	VERB
cana-1248	45	3	the	the	DET
cana-1248	45	4	method	method	NOUN
cana-1248	45	5	from	from	ADP
cana-1248	45	6	traditional	traditional	ADJ
cana-1248	45	7	models	model	NOUN
cana-1248	45	8	is	be	AUX
cana-1248	45	9	its	its	PRON
cana-1248	45	10	ability	ability	NOUN
cana-1248	45	11	to	to	PART
cana-1248	45	12	balance	balance	VERB
cana-1248	45	13	false	false	ADJ
cana-1248	45	14	positives	positive	NOUN
cana-1248	45	15	and	and	CCONJ
cana-1248	45	16	negatives	negative	NOUN
cana-1248	45	17	and	and	CCONJ
cana-1248	45	18	handle	handle	VERB
cana-1248	45	19	enormous	enormous	ADJ
cana-1248	45	20	volumes	volume	NOUN
cana-1248	45	21	of	of	ADP
cana-1248	45	22	data	datum	NOUN
cana-1248	45	23	.	.	PUNCT
cana-1248	46	1	communications	communication	NOUN
cana-1248	46	2	on	on	ADP
cana-1248	46	3	applied	apply	VERB
cana-1248	46	4	nonlinear	nonlinear	ADJ
cana-1248	46	5	analysis	analysis	NOUN
cana-1248	46	6	issn	issn	NOUN
cana-1248	46	7	:	:	PUNCT
cana-1248	46	8	1074	1074	NUM
cana-1248	46	9	-	-	PUNCT
cana-1248	46	10	133x	133x	NUM
cana-1248	46	11	vol	vol	NOUN
cana-1248	46	12	31	31	NUM
cana-1248	46	13	no	no	NOUN
cana-1248	46	14	.	.	PUNCT
cana-1248	47	1	6s	6s	NUM
cana-1248	47	2	(	(	PUNCT
cana-1248	47	3	2024	2024	NUM
cana-1248	47	4	)	)	PUNCT
cana-1248	47	5	620	620	NUM
cana-1248	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	48	1	the	the	DET
cana-1248	48	2	main	main	ADJ
cana-1248	48	3	contributions	contribution	NOUN
cana-1248	48	4	of	of	ADP
cana-1248	48	5	the	the	DET
cana-1248	48	6	proposed	propose	VERB
cana-1248	48	7	work	work	NOUN
cana-1248	48	8	involves	involve	VERB
cana-1248	48	9	the	the	DET
cana-1248	48	10	following	following	NOUN
cana-1248	48	11	:	:	PUNCT
cana-1248	49	1	1	1	X
cana-1248	49	2	.	.	PUNCT
cana-1248	49	3	the	the	DET
cana-1248	49	4	study	study	NOUN
cana-1248	49	5	introduces	introduce	VERB
cana-1248	49	6	a	a	DET
cana-1248	49	7	novel	novel	ADJ
cana-1248	49	8	methodology	methodology	NOUN
cana-1248	49	9	to	to	PART
cana-1248	49	10	handle	handle	VERB
cana-1248	49	11	network	network	NOUN
cana-1248	49	12	security	security	NOUN
cana-1248	49	13	issues	issue	NOUN
cana-1248	49	14	by	by	ADP
cana-1248	49	15	combining	combine	VERB
cana-1248	49	16	fractional	fractional	ADJ
cana-1248	49	17	calculus	calculus	NOUN
cana-1248	49	18	with	with	ADP
cana-1248	49	19	deep	deep	ADJ
cana-1248	49	20	learning	learning	NOUN
cana-1248	49	21	techniques	technique	NOUN
cana-1248	49	22	.	.	PUNCT
cana-1248	50	1	2	2	X
cana-1248	50	2	.	.	X
cana-1248	50	3	it	it	PRON
cana-1248	50	4	combines	combine	VERB
cana-1248	50	5	sophisticated	sophisticated	ADJ
cana-1248	50	6	mathematical	mathematical	ADJ
cana-1248	50	7	models	model	NOUN
cana-1248	50	8	with	with	ADP
cana-1248	50	9	anns	ann	NOUN
cana-1248	50	10	over	over	ADP
cana-1248	50	11	current	current	ADJ
cana-1248	50	12	methods	method	NOUN
cana-1248	50	13	demonstrates	demonstrate	VERB
cana-1248	50	14	considerable	considerable	ADJ
cana-1248	50	15	improvements	improvement	NOUN
cana-1248	50	16	in	in	ADP
cana-1248	50	17	accuracy	accuracy	NOUN
cana-1248	50	18	,	,	PUNCT
cana-1248	50	19	precision	precision	NOUN
cana-1248	50	20	,	,	PUNCT
cana-1248	50	21	recall	recall	NOUN
cana-1248	50	22	,	,	PUNCT
cana-1248	50	23	and	and	CCONJ
cana-1248	51	1	f	f	X
cana-1248	51	2	-	-	PUNCT
cana-1248	51	3	measure	measure	NOUN
cana-1248	51	4	in	in	ADP
cana-1248	51	5	the	the	DET
cana-1248	51	6	second	second	ADJ
cana-1248	51	7	suggested	suggest	VERB
cana-1248	51	8	approach	approach	NOUN
cana-1248	51	9	.	.	PUNCT
cana-1248	52	1	3	3	X
cana-1248	52	2	.	.	X
cana-1248	52	3	by	by	ADP
cana-1248	52	4	means	mean	NOUN
cana-1248	52	5	of	of	ADP
cana-1248	52	6	a	a	DET
cana-1248	52	7	thorough	thorough	ADJ
cana-1248	52	8	investigation	investigation	NOUN
cana-1248	52	9	over	over	ADP
cana-1248	52	10	multiple	multiple	ADJ
cana-1248	52	11	datasets	dataset	NOUN
cana-1248	52	12	and	and	CCONJ
cana-1248	52	13	test	test	NOUN
cana-1248	52	14	scenarios	scenario	NOUN
cana-1248	52	15	,	,	PUNCT
cana-1248	52	16	the	the	DET
cana-1248	52	17	study	study	NOUN
cana-1248	52	18	presents	present	VERB
cana-1248	52	19	significant	significant	ADJ
cana-1248	52	20	new	new	ADJ
cana-1248	52	21	angles	angle	NOUN
cana-1248	52	22	on	on	ADP
cana-1248	52	23	the	the	DET
cana-1248	52	24	performance	performance	NOUN
cana-1248	52	25	and	and	CCONJ
cana-1248	52	26	reliability	reliability	NOUN
cana-1248	52	27	of	of	ADP
cana-1248	52	28	the	the	DET
cana-1248	52	29	proposed	propose	VERB
cana-1248	52	30	approach	approach	NOUN
cana-1248	52	31	.	.	PUNCT
cana-1248	53	1	4	4	X
cana-1248	53	2	.	.	X
cana-1248	53	3	the	the	DET
cana-1248	53	4	proposed	propose	VERB
cana-1248	53	5	method	method	NOUN
cana-1248	53	6	provides	provide	VERB
cana-1248	53	7	a	a	DET
cana-1248	53	8	more	more	ADV
cana-1248	53	9	effective	effective	ADJ
cana-1248	53	10	tool	tool	NOUN
cana-1248	53	11	for	for	ADP
cana-1248	53	12	recognizing	recognize	VERB
cana-1248	53	13	and	and	CCONJ
cana-1248	53	14	lowering	lower	VERB
cana-1248	53	15	of	of	ADP
cana-1248	53	16	hazardous	hazardous	ADJ
cana-1248	53	17	behaviors	behavior	NOUN
cana-1248	53	18	like	like	ADP
cana-1248	53	19	worm	worm	NOUN
cana-1248	53	20	attacks	attack	NOUN
cana-1248	53	21	,	,	PUNCT
cana-1248	53	22	so	so	ADV
cana-1248	53	23	influencing	influence	VERB
cana-1248	53	24	network	network	NOUN
cana-1248	53	25	security	security	NOUN
cana-1248	53	26	.	.	PUNCT
cana-1248	54	1	2	2	X
cana-1248	54	2	.	.	NUM
cana-1248	54	3	related	relate	VERB
cana-1248	54	4	works	work	NOUN
cana-1248	54	5	especially	especially	ADV
cana-1248	54	6	in	in	ADP
cana-1248	54	7	wireless	wireless	ADJ
cana-1248	54	8	networks	network	NOUN
cana-1248	54	9	and	and	CCONJ
cana-1248	54	10	the	the	DET
cana-1248	54	11	bigger	big	ADJ
cana-1248	54	12	internet	internet	NOUN
cana-1248	54	13	of	of	ADP
cana-1248	54	14	things	thing	NOUN
cana-1248	54	15	(	(	PUNCT
cana-1248	54	16	iot	iot	NOUN
cana-1248	54	17	)	)	PUNCT
cana-1248	54	18	,	,	PUNCT
cana-1248	54	19	numerous	numerous	ADJ
cana-1248	54	20	approaches	approach	NOUN
cana-1248	54	21	have	have	AUX
cana-1248	54	22	been	be	AUX
cana-1248	54	23	proposed	propose	VERB
cana-1248	54	24	in	in	ADP
cana-1248	54	25	recent	recent	ADJ
cana-1248	54	26	years	year	NOUN
cana-1248	54	27	to	to	PART
cana-1248	54	28	overcome	overcome	VERB
cana-1248	54	29	the	the	DET
cana-1248	54	30	problems	problem	NOUN
cana-1248	54	31	of	of	ADP
cana-1248	54	32	malicious	malicious	ADJ
cana-1248	54	33	code	code	NOUN
cana-1248	54	34	spreading	spread	VERB
cana-1248	54	35	in	in	ADP
cana-1248	54	36	networked	networked	ADJ
cana-1248	54	37	systems	system	NOUN
cana-1248	54	38	.	.	PUNCT
cana-1248	55	1	these	these	DET
cana-1248	55	2	studies	study	NOUN
cana-1248	55	3	highlight	highlight	VERB
cana-1248	55	4	numerous	numerous	ADJ
cana-1248	55	5	methods	method	NOUN
cana-1248	55	6	for	for	ADP
cana-1248	55	7	analyzing	analyze	VERB
cana-1248	55	8	and	and	CCONJ
cana-1248	55	9	lowering	lower	VERB
cana-1248	55	10	the	the	DET
cana-1248	55	11	impact	impact	NOUN
cana-1248	55	12	of	of	ADP
cana-1248	55	13	worms	worm	NOUN
cana-1248	55	14	and	and	CCONJ
cana-1248	55	15	other	other	ADJ
cana-1248	55	16	dangerous	dangerous	ADJ
cana-1248	55	17	codes	code	NOUN
cana-1248	55	18	.	.	PUNCT
cana-1248	56	1	in	in	ADP
cana-1248	56	2	[	[	X
cana-1248	56	3	12	12	NUM
cana-1248	56	4	]	]	PUNCT
cana-1248	56	5	the	the	DET
cana-1248	56	6	article	article	NOUN
cana-1248	56	7	emphasizes	emphasize	VERB
cana-1248	56	8	how	how	SCONJ
cana-1248	56	9	to	to	PART
cana-1248	56	10	characterize	characterize	VERB
cana-1248	56	11	the	the	DET
cana-1248	56	12	complex	complex	ADJ
cana-1248	56	13	dynamics	dynamic	NOUN
cana-1248	56	14	of	of	ADP
cana-1248	56	15	virus	virus	NOUN
cana-1248	56	16	transmission	transmission	NOUN
cana-1248	56	17	in	in	ADP
cana-1248	56	18	sensitive	sensitive	ADJ
cana-1248	56	19	systems	system	NOUN
cana-1248	56	20	using	use	VERB
cana-1248	56	21	fractional	fractional	ADJ
cana-1248	56	22	derivatives	derivative	NOUN
cana-1248	56	23	.	.	PUNCT
cana-1248	57	1	the	the	DET
cana-1248	57	2	writers	writer	NOUN
cana-1248	57	3	establish	establish	VERB
cana-1248	57	4	the	the	DET
cana-1248	57	5	existence	existence	NOUN
cana-1248	57	6	and	and	CCONJ
cana-1248	57	7	originality	originality	NOUN
cana-1248	57	8	of	of	ADP
cana-1248	57	9	the	the	DET
cana-1248	57	10	solution	solution	NOUN
cana-1248	57	11	for	for	ADP
cana-1248	57	12	their	their	PRON
cana-1248	57	13	model	model	NOUN
cana-1248	57	14	by	by	ADP
cana-1248	57	15	means	mean	NOUN
cana-1248	57	16	of	of	ADP
cana-1248	57	17	fixed	fix	VERB
cana-1248	57	18	point	point	NOUN
cana-1248	57	19	theory	theory	NOUN
cana-1248	57	20	from	from	ADP
cana-1248	57	21	schauder	schauder	NOUN
cana-1248	57	22	and	and	CCONJ
cana-1248	57	23	banach	banach	NOUN
cana-1248	57	24	.	.	PUNCT
cana-1248	58	1	numerical	numerical	ADJ
cana-1248	58	2	simulations	simulation	NOUN
cana-1248	58	3	using	use	VERB
cana-1248	58	4	matlab	matlab	PROPN
cana-1248	58	5	and	and	CCONJ
cana-1248	58	6	the	the	DET
cana-1248	58	7	adams	adams	PROPN
cana-1248	58	8	-	-	PUNCT
cana-1248	58	9	bashforth	bashforth	NOUN
cana-1248	58	10	method	method	NOUN
cana-1248	58	11	confirm	confirm	VERB
cana-1248	58	12	the	the	DET
cana-1248	58	13	model	model	NOUN
cana-1248	58	14	's	's	PART
cana-1248	58	15	efficacy	efficacy	NOUN
cana-1248	58	16	in	in	ADP
cana-1248	58	17	capturing	capture	VERB
cana-1248	58	18	the	the	DET
cana-1248	58	19	propagation	propagation	NOUN
cana-1248	58	20	dynamics	dynamic	NOUN
cana-1248	58	21	of	of	ADP
cana-1248	58	22	dangerous	dangerous	ADJ
cana-1248	58	23	software	software	NOUN
cana-1248	58	24	.	.	PUNCT
cana-1248	59	1	using	use	VERB
cana-1248	59	2	ulam	ulam	PROPN
cana-1248	59	3	-	-	PUNCT
cana-1248	59	4	hyers	hyer	NOUN
cana-1248	59	5	stability	stability	NOUN
cana-1248	59	6	techniques	technique	NOUN
cana-1248	59	7	guarantees	guarantee	VERB
cana-1248	59	8	the	the	DET
cana-1248	59	9	evenness	evenness	NOUN
cana-1248	59	10	even	even	ADV
cana-1248	59	11	more	more	ADV
cana-1248	59	12	,	,	PUNCT
cana-1248	59	13	hence	hence	ADV
cana-1248	59	14	improving	improve	VERB
cana-1248	59	15	the	the	DET
cana-1248	59	16	model	model	NOUN
cana-1248	59	17	.	.	PUNCT
cana-1248	60	1	this	this	DET
cana-1248	60	2	work	work	NOUN
cana-1248	60	3	presents	present	VERB
cana-1248	60	4	a	a	DET
cana-1248	60	5	distinct	distinct	ADJ
cana-1248	60	6	perspective	perspective	NOUN
cana-1248	60	7	by	by	ADP
cana-1248	60	8	underlining	underline	VERB
cana-1248	60	9	the	the	DET
cana-1248	60	10	capabilities	capability	NOUN
cana-1248	60	11	of	of	ADP
cana-1248	60	12	fractional	fractional	ADJ
cana-1248	60	13	derivatives	derivative	NOUN
cana-1248	60	14	in	in	ADP
cana-1248	60	15	improving	improve	VERB
cana-1248	60	16	network	network	NOUN
cana-1248	60	17	security	security	NOUN
cana-1248	60	18	and	and	CCONJ
cana-1248	60	19	developing	develop	VERB
cana-1248	60	20	more	more	ADV
cana-1248	60	21	safe	safe	ADJ
cana-1248	60	22	network	network	NOUN
cana-1248	60	23	topologies	topology	NOUN
cana-1248	60	24	against	against	ADP
cana-1248	60	25	hostile	hostile	ADJ
cana-1248	60	26	code	code	NOUN
cana-1248	60	27	threats	threat	NOUN
cana-1248	60	28	.	.	PUNCT
cana-1248	61	1	in	in	ADP
cana-1248	61	2	[	[	X
cana-1248	61	3	13	13	NUM
cana-1248	61	4	]	]	PUNCT
cana-1248	61	5	the	the	DET
cana-1248	61	6	paper	paper	NOUN
cana-1248	61	7	investigates	investigate	VERB
cana-1248	61	8	the	the	DET
cana-1248	61	9	boundaries	boundary	NOUN
cana-1248	61	10	of	of	ADP
cana-1248	61	11	the	the	DET
cana-1248	61	12	model	model	NOUN
cana-1248	61	13	coupled	couple	VERB
cana-1248	61	14	with	with	ADP
cana-1248	61	15	local	local	ADJ
cana-1248	61	16	stability	stability	NOUN
cana-1248	61	17	investigations	investigation	NOUN
cana-1248	61	18	including	include	VERB
cana-1248	61	19	delay	delay	NOUN
cana-1248	61	20	awareness	awareness	NOUN
cana-1248	61	21	.	.	PUNCT
cana-1248	62	1	especially	especially	ADV
cana-1248	62	2	focusing	focus	VERB
cana-1248	62	3	on	on	ADP
cana-1248	62	4	hopf	hopf	ADJ
cana-1248	62	5	bifurcations	bifurcation	NOUN
cana-1248	62	6	as	as	ADP
cana-1248	62	7	a	a	DET
cana-1248	62	8	bifurcation	bifurcation	NOUN
cana-1248	62	9	parameter	parameter	NOUN
cana-1248	62	10	,	,	PUNCT
cana-1248	62	11	the	the	DET
cana-1248	62	12	authors	author	NOUN
cana-1248	62	13	study	study	VERB
cana-1248	62	14	how	how	SCONJ
cana-1248	62	15	delays	delay	NOUN
cana-1248	62	16	influence	influence	NOUN
cana-1248	62	17	worm	worm	NOUN
cana-1248	62	18	propagation	propagation	NOUN
cana-1248	62	19	.	.	PUNCT
cana-1248	63	1	according	accord	VERB
cana-1248	63	2	to	to	ADP
cana-1248	63	3	their	their	PRON
cana-1248	63	4	findings	finding	NOUN
cana-1248	63	5	,	,	PUNCT
cana-1248	63	6	worm	worm	NOUN
cana-1248	63	7	proliferation	proliferation	NOUN
cana-1248	63	8	can	can	AUX
cana-1248	63	9	be	be	AUX
cana-1248	63	10	controlled	control	VERB
cana-1248	63	11	if	if	SCONJ
cana-1248	63	12	the	the	DET
cana-1248	63	13	latency	latency	NOUN
cana-1248	63	14	stays	stay	VERB
cana-1248	63	15	below	below	ADP
cana-1248	63	16	a	a	DET
cana-1248	63	17	specified	specify	VERB
cana-1248	63	18	amount	amount	NOUN
cana-1248	63	19	.	.	PUNCT
cana-1248	64	1	this	this	DET
cana-1248	64	2	work	work	NOUN
cana-1248	64	3	demonstrates	demonstrate	VERB
cana-1248	64	4	that	that	PRON
cana-1248	64	5	delay	delay	NOUN
cana-1248	64	6	factors	factor	NOUN
cana-1248	64	7	are	be	AUX
cana-1248	64	8	fundamental	fundamental	ADJ
cana-1248	64	9	determinant	determinant	ADJ
cana-1248	64	10	of	of	ADP
cana-1248	64	11	control	control	NOUN
cana-1248	64	12	of	of	ADP
cana-1248	64	13	worm	worm	NOUN
cana-1248	64	14	spread	spread	VERB
cana-1248	64	15	;	;	PUNCT
cana-1248	64	16	so	so	ADV
cana-1248	64	17	,	,	PUNCT
cana-1248	64	18	suitable	suitable	ADJ
cana-1248	64	19	change	change	NOUN
cana-1248	64	20	of	of	ADP
cana-1248	64	21	these	these	DET
cana-1248	64	22	parameters	parameter	NOUN
cana-1248	64	23	can	can	AUX
cana-1248	64	24	significantly	significantly	ADV
cana-1248	64	25	lower	lower	VERB
cana-1248	64	26	the	the	DET
cana-1248	64	27	effect	effect	NOUN
cana-1248	64	28	of	of	ADP
cana-1248	64	29	the	the	DET
cana-1248	64	30	worms	worm	NOUN
cana-1248	64	31	.	.	PUNCT
cana-1248	65	1	this	this	DET
cana-1248	65	2	paper	paper	NOUN
cana-1248	65	3	focuses	focus	VERB
cana-1248	65	4	on	on	ADP
cana-1248	65	5	wsn	wsn	PROPN
cana-1248	65	6	neural	neural	ADJ
cana-1248	65	7	networks	network	NOUN
cana-1248	65	8	using	use	VERB
cana-1248	65	9	fractal	fractal	ADJ
cana-1248	65	10	fractional	fractional	ADJ
cana-1248	65	11	differential	differential	NOUN
cana-1248	65	12	operators	operator	NOUN
cana-1248	65	13	in	in	ADP
cana-1248	65	14	[	[	X
cana-1248	65	15	14	14	NUM
cana-1248	65	16	]	]	PUNCT
cana-1248	65	17	.	.	PUNCT
cana-1248	66	1	stability	stability	NOUN
cana-1248	66	2	analysis	analysis	NOUN
cana-1248	66	3	using	use	VERB
cana-1248	66	4	banach	banach	NOUN
cana-1248	66	5	contraction	contraction	NOUN
cana-1248	66	6	techniques	technique	NOUN
cana-1248	66	7	in	in	ADP
cana-1248	66	8	line	line	NOUN
cana-1248	66	9	with	with	ADP
cana-1248	66	10	functional	functional	ADJ
cana-1248	66	11	analysis	analysis	NOUN
cana-1248	66	12	and	and	CCONJ
cana-1248	66	13	the	the	DET
cana-1248	66	14	ulamhyers	ulamhyer	NOUN
cana-1248	66	15	(	(	PUNCT
cana-1248	66	16	uh	uh	INTJ
cana-1248	66	17	)	)	PUNCT
cana-1248	66	18	stability	stability	NOUN
cana-1248	66	19	approach	approach	NOUN
cana-1248	66	20	yields	yield	VERB
cana-1248	66	21	a	a	DET
cana-1248	66	22	full	full	ADJ
cana-1248	66	23	evaluation	evaluation	NOUN
cana-1248	66	24	of	of	ADP
cana-1248	66	25	the	the	DET
cana-1248	66	26	stability	stability	NOUN
cana-1248	66	27	aspects	aspect	NOUN
cana-1248	66	28	of	of	ADP
cana-1248	66	29	the	the	DET
cana-1248	66	30	model	model	NOUN
cana-1248	66	31	by	by	ADP
cana-1248	66	32	means	mean	NOUN
cana-1248	66	33	of	of	ADP
cana-1248	66	34	which	which	PRON
cana-1248	66	35	the	the	DET
cana-1248	66	36	existence	existence	NOUN
cana-1248	66	37	and	and	CCONJ
cana-1248	66	38	uniqueness	uniqueness	NOUN
cana-1248	66	39	of	of	ADP
cana-1248	66	40	solutions	solution	NOUN
cana-1248	66	41	for	for	ADP
cana-1248	66	42	the	the	DET
cana-1248	66	43	given	give	VERB
cana-1248	66	44	model	model	NOUN
cana-1248	66	45	are	be	AUX
cana-1248	66	46	established	establish	VERB
cana-1248	66	47	.	.	PUNCT
cana-1248	67	1	this	this	DET
cana-1248	67	2	work	work	NOUN
cana-1248	67	3	highlights	highlight	VERB
cana-1248	67	4	the	the	DET
cana-1248	67	5	advantages	advantage	NOUN
cana-1248	67	6	of	of	ADP
cana-1248	67	7	fractal	fractal	ADJ
cana-1248	67	8	fractional	fractional	ADJ
cana-1248	67	9	differential	differential	NOUN
cana-1248	67	10	operators	operator	NOUN
cana-1248	67	11	in	in	ADP
cana-1248	67	12	evaluating	evaluate	VERB
cana-1248	67	13	network	network	NOUN
cana-1248	67	14	security	security	NOUN
cana-1248	67	15	and	and	CCONJ
cana-1248	67	16	helps	help	VERB
cana-1248	67	17	to	to	PART
cana-1248	67	18	grasp	grasp	VERB
cana-1248	67	19	the	the	DET
cana-1248	67	20	stability	stability	NOUN
cana-1248	67	21	and	and	CCONJ
cana-1248	67	22	behavior	behavior	NOUN
cana-1248	67	23	of	of	ADP
cana-1248	67	24	neural	neural	ADJ
cana-1248	67	25	networks	network	NOUN
cana-1248	67	26	in	in	ADP
cana-1248	67	27	wsns	wsns	PROPN
cana-1248	67	28	.	.	PUNCT
cana-1248	68	1	the	the	DET
cana-1248	68	2	work	work	NOUN
cana-1248	68	3	in	in	ADP
cana-1248	68	4	[	[	X
cana-1248	68	5	15	15	NUM
cana-1248	68	6	]	]	PUNCT
cana-1248	68	7	explores	explore	VERB
cana-1248	68	8	the	the	DET
cana-1248	68	9	caputo	caputo	PROPN
cana-1248	68	10	-	-	PUNCT
cana-1248	68	11	fabrizio	fabrizio	PROPN
cana-1248	68	12	hseir	hseir	NOUN
cana-1248	68	13	system	system	NOUN
cana-1248	68	14	is	be	AUX
cana-1248	68	15	evaluated	evaluate	VERB
cana-1248	68	16	using	use	VERB
cana-1248	68	17	equilibrium	equilibrium	NOUN
cana-1248	68	18	points	point	NOUN
cana-1248	68	19	and	and	CCONJ
cana-1248	68	20	fundamental	fundamental	ADJ
cana-1248	68	21	reproduction	reproduction	NOUN
cana-1248	68	22	number	number	NOUN
cana-1248	68	23	.	.	PUNCT
cana-1248	69	1	stability	stability	NOUN
cana-1248	69	2	studies	study	NOUN
cana-1248	69	3	at	at	ADP
cana-1248	69	4	the	the	DET
cana-1248	69	5	worm	worm	NOUN
cana-1248	69	6	propagation	propagation	NOUN
cana-1248	69	7	equilibrium	equilibrium	NOUN
cana-1248	69	8	show	show	VERB
cana-1248	69	9	the	the	DET
cana-1248	69	10	existence	existence	NOUN
cana-1248	69	11	and	and	CCONJ
cana-1248	69	12	uniqueness	uniqueness	NOUN
cana-1248	69	13	of	of	ADP
cana-1248	69	14	solutions	solution	NOUN
cana-1248	69	15	for	for	ADP
cana-1248	69	16	the	the	DET
cana-1248	69	17	fractional	fractional	ADJ
cana-1248	69	18	system	system	NOUN
cana-1248	69	19	by	by	ADP
cana-1248	69	20	means	mean	NOUN
cana-1248	69	21	of	of	ADP
cana-1248	69	22	the	the	DET
cana-1248	69	23	picardlindeloöf	picardlindeloöf	NOUN
cana-1248	69	24	approach	approach	NOUN
cana-1248	69	25	.	.	PUNCT
cana-1248	70	1	by	by	ADP
cana-1248	70	2	means	mean	NOUN
cana-1248	70	3	of	of	ADP
cana-1248	70	4	comparison	comparison	NOUN
cana-1248	70	5	of	of	ADP
cana-1248	70	6	fractional	fractional	ADJ
cana-1248	70	7	-	-	PUNCT
cana-1248	70	8	order	order	NOUN
cana-1248	70	9	models	model	NOUN
cana-1248	70	10	with	with	ADP
cana-1248	70	11	integer	integer	NOUN
cana-1248	70	12	-	-	PUNCT
cana-1248	70	13	order	order	NOUN
cana-1248	70	14	models	model	NOUN
cana-1248	70	15	,	,	PUNCT
cana-1248	70	16	the	the	DET
cana-1248	70	17	paper	paper	NOUN
cana-1248	70	18	communications	communication	NOUN
cana-1248	70	19	on	on	ADP
cana-1248	70	20	applied	apply	VERB
cana-1248	70	21	nonlinear	nonlinear	ADJ
cana-1248	70	22	analysis	analysis	NOUN
cana-1248	70	23	issn	issn	NOUN
cana-1248	70	24	:	:	PUNCT
cana-1248	70	25	1074	1074	NUM
cana-1248	70	26	-	-	PUNCT
cana-1248	70	27	133x	133x	NUM
cana-1248	70	28	vol	vol	NOUN
cana-1248	70	29	31	31	NUM
cana-1248	70	30	no	no	NOUN
cana-1248	70	31	.	.	PUNCT
cana-1248	71	1	6s	6s	NUM
cana-1248	71	2	(	(	PUNCT
cana-1248	71	3	2024	2024	NUM
cana-1248	71	4	)	)	PUNCT
cana-1248	71	5	621	621	NUM
cana-1248	71	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	71	7	also	also	ADV
cana-1248	71	8	demonstrates	demonstrate	VERB
cana-1248	71	9	how	how	SCONJ
cana-1248	71	10	various	various	ADJ
cana-1248	71	11	fractional	fractional	ADJ
cana-1248	71	12	orders	order	NOUN
cana-1248	71	13	affect	affect	VERB
cana-1248	71	14	system	system	NOUN
cana-1248	71	15	behavior	behavior	NOUN
cana-1248	71	16	.	.	PUNCT
cana-1248	72	1	furthermore	furthermore	ADV
cana-1248	72	2	proposed	propose	VERB
cana-1248	72	3	is	be	AUX
cana-1248	72	4	a	a	DET
cana-1248	72	5	regularly	regularly	ADV
cana-1248	72	6	intermittent	intermittent	ADJ
cana-1248	72	7	controller	controller	NOUN
cana-1248	72	8	operated	operate	VERB
cana-1248	72	9	by	by	ADP
cana-1248	72	10	white	white	ADJ
cana-1248	72	11	noise	noise	NOUN
cana-1248	72	12	to	to	PART
cana-1248	72	13	stop	stop	VERB
cana-1248	72	14	the	the	DET
cana-1248	72	15	propagation	propagation	NOUN
cana-1248	72	16	of	of	ADP
cana-1248	72	17	worms	worm	NOUN
cana-1248	72	18	in	in	ADP
cana-1248	72	19	iot	iot	PROPN
cana-1248	72	20	networks	network	NOUN
cana-1248	72	21	.	.	PUNCT
cana-1248	73	1	the	the	DET
cana-1248	73	2	stability	stability	NOUN
cana-1248	73	3	constraints	constraint	NOUN
cana-1248	73	4	are	be	AUX
cana-1248	73	5	set	set	VERB
cana-1248	73	6	and	and	CCONJ
cana-1248	73	7	the	the	DET
cana-1248	73	8	stochastic	stochastic	ADJ
cana-1248	73	9	analysis	analysis	NOUN
cana-1248	73	10	approach	approach	NOUN
cana-1248	73	11	is	be	AUX
cana-1248	73	12	used	use	VERB
cana-1248	73	13	to	to	PART
cana-1248	73	14	evaluate	evaluate	VERB
cana-1248	73	15	the	the	DET
cana-1248	73	16	efficiency	efficiency	NOUN
cana-1248	73	17	of	of	ADP
cana-1248	73	18	intermittent	intermittent	ADJ
cana-1248	73	19	stochastic	stochastic	ADJ
cana-1248	73	20	perturbation	perturbation	NOUN
cana-1248	73	21	in	in	ADP
cana-1248	73	22	stabilizing	stabilize	VERB
cana-1248	73	23	the	the	DET
cana-1248	73	24	worm	worm	NOUN
cana-1248	73	25	propagation	propagation	NOUN
cana-1248	73	26	system	system	NOUN
cana-1248	73	27	.	.	PUNCT
cana-1248	74	1	the	the	DET
cana-1248	74	2	results	result	NOUN
cana-1248	74	3	suggest	suggest	VERB
cana-1248	74	4	that	that	SCONJ
cana-1248	74	5	this	this	DET
cana-1248	74	6	approach	approach	NOUN
cana-1248	74	7	offers	offer	VERB
cana-1248	74	8	crucial	crucial	ADJ
cana-1248	74	9	information	information	NOUN
cana-1248	74	10	for	for	ADP
cana-1248	74	11	the	the	DET
cana-1248	74	12	development	development	NOUN
cana-1248	74	13	of	of	ADP
cana-1248	74	14	effective	effective	ADJ
cana-1248	74	15	countermeasures	countermeasure	NOUN
cana-1248	74	16	and	and	CCONJ
cana-1248	74	17	evaluation	evaluation	NOUN
cana-1248	74	18	of	of	ADP
cana-1248	74	19	the	the	DET
cana-1248	74	20	effects	effect	NOUN
cana-1248	74	21	of	of	ADP
cana-1248	74	22	many	many	ADJ
cana-1248	74	23	system	system	NOUN
cana-1248	74	24	parameters	parameter	NOUN
cana-1248	74	25	since	since	SCONJ
cana-1248	74	26	it	it	PRON
cana-1248	74	27	offers	offer	VERB
cana-1248	74	28	less	less	ADJ
cana-1248	74	29	expense	expense	NOUN
cana-1248	74	30	and	and	CCONJ
cana-1248	74	31	greater	great	ADJ
cana-1248	74	32	flexibility	flexibility	NOUN
cana-1248	74	33	in	in	ADP
cana-1248	74	34	managing	manage	VERB
cana-1248	74	35	the	the	DET
cana-1248	74	36	spread	spread	NOUN
cana-1248	74	37	of	of	ADP
cana-1248	74	38	worms	worm	NOUN
cana-1248	74	39	.	.	PUNCT
cana-1248	75	1	table	table	NOUN
cana-1248	75	2	1	1	NUM
cana-1248	75	3	:	:	PUNCT
cana-1248	75	4	summary	summary	NOUN
cana-1248	75	5	of	of	ADP
cana-1248	75	6	related	related	ADJ
cana-1248	75	7	works	work	NOUN
cana-1248	75	8	method	method	NOUN
cana-1248	75	9	algorithm	algorithm	NOUN
cana-1248	75	10	methodology	methodology	NOUN
cana-1248	75	11	outcomes	outcome	NOUN
cana-1248	75	12	[	[	X
cana-1248	75	13	12	12	NUM
cana-1248	75	14	]	]	PUNCT
cana-1248	75	15	adamsbashforth	adamsbashforth	NOUN
cana-1248	75	16	method	method	NOUN
cana-1248	75	17	uses	use	VERB
cana-1248	75	18	fractional	fractional	ADJ
cana-1248	75	19	calculus	calculus	NOUN
cana-1248	75	20	and	and	CCONJ
cana-1248	75	21	fractal	fractal	ADV
cana-1248	75	22	-	-	PUNCT
cana-1248	75	23	fractional	fractional	ADJ
cana-1248	75	24	(	(	PUNCT
cana-1248	75	25	ff	ff	NOUN
cana-1248	75	26	)	)	PUNCT
cana-1248	75	27	operator	operator	NOUN
cana-1248	75	28	;	;	PUNCT
cana-1248	75	29	stability	stability	NOUN
cana-1248	75	30	analysis	analysis	NOUN
cana-1248	75	31	with	with	ADP
cana-1248	75	32	ulam	ulam	NOUN
cana-1248	75	33	-	-	PUNCT
cana-1248	75	34	hyers	hyer	NOUN
cana-1248	75	35	technique	technique	VERB
cana-1248	75	36	improved	improved	ADJ
cana-1248	75	37	accuracy	accuracy	NOUN
cana-1248	75	38	in	in	ADP
cana-1248	75	39	capturing	capture	VERB
cana-1248	75	40	malicious	malicious	ADJ
cana-1248	75	41	code	code	NOUN
cana-1248	75	42	dynamics	dynamic	NOUN
cana-1248	75	43	;	;	PUNCT
cana-1248	75	44	robust	robust	ADJ
cana-1248	75	45	against	against	ADP
cana-1248	75	46	network	network	NOUN
cana-1248	75	47	vulnerabilities	vulnerability	NOUN
cana-1248	75	48	.	.	PUNCT
cana-1248	76	1	[	[	X
cana-1248	76	2	13	13	NUM
cana-1248	76	3	]	]	X
cana-1248	76	4	numerical	numerical	PROPN
cana-1248	76	5	simulation	simulation	PROPN
cana-1248	76	6	incorporates	incorporate	VERB
cana-1248	76	7	delay	delay	NOUN
cana-1248	76	8	with	with	ADP
cana-1248	76	9	nonlinear	nonlinear	ADJ
cana-1248	76	10	incidence	incidence	NOUN
cana-1248	76	11	and	and	CCONJ
cana-1248	76	12	ratio	ratio	NOUN
cana-1248	76	13	-	-	PUNCT
cana-1248	76	14	dependent	dependent	ADJ
cana-1248	76	15	responses	response	NOUN
cana-1248	76	16	;	;	PUNCT
cana-1248	76	17	analysis	analysis	NOUN
cana-1248	76	18	of	of	ADP
cana-1248	76	19	hopf	hopf	ADJ
cana-1248	76	20	bifurcations	bifurcation	NOUN
cana-1248	76	21	effective	effective	ADJ
cana-1248	76	22	in	in	ADP
cana-1248	76	23	controlling	control	VERB
cana-1248	76	24	worm	worm	NOUN
cana-1248	76	25	propagation	propagation	NOUN
cana-1248	76	26	if	if	SCONJ
cana-1248	76	27	delays	delay	NOUN
cana-1248	76	28	are	be	AUX
cana-1248	76	29	below	below	ADP
cana-1248	76	30	threshold	threshold	NOUN
cana-1248	76	31	;	;	PUNCT
cana-1248	76	32	predictive	predictive	ADJ
cana-1248	76	33	control	control	NOUN
cana-1248	76	34	of	of	ADP
cana-1248	76	35	worm	worm	NOUN
cana-1248	76	36	spread	spread	VERB
cana-1248	76	37	.	.	PUNCT
cana-1248	77	1	[	[	X
cana-1248	77	2	14	14	NUM
cana-1248	77	3	]	]	X
cana-1248	77	4	numerical	numerical	PROPN
cana-1248	77	5	scheme	scheme	PROPN
cana-1248	77	6	applies	apply	VERB
cana-1248	77	7	fractal	fractal	ADJ
cana-1248	77	8	fractional	fractional	ADJ
cana-1248	77	9	differential	differential	NOUN
cana-1248	77	10	operators	operator	NOUN
cana-1248	77	11	;	;	PUNCT
cana-1248	77	12	stability	stability	NOUN
cana-1248	77	13	analysis	analysis	NOUN
cana-1248	77	14	via	via	ADP
cana-1248	77	15	banach	banach	NOUN
cana-1248	77	16	contraction	contraction	NOUN
cana-1248	77	17	technique	technique	NOUN
cana-1248	77	18	enhanced	enhance	VERB
cana-1248	77	19	stability	stability	NOUN
cana-1248	77	20	analysis	analysis	NOUN
cana-1248	77	21	of	of	ADP
cana-1248	77	22	neural	neural	ADJ
cana-1248	77	23	networks	network	NOUN
cana-1248	77	24	;	;	PUNCT
cana-1248	77	25	novel	novel	ADJ
cana-1248	77	26	insights	insight	NOUN
cana-1248	77	27	into	into	ADP
cana-1248	77	28	network	network	NOUN
cana-1248	77	29	security	security	NOUN
cana-1248	77	30	dynamics	dynamic	NOUN
cana-1248	77	31	.	.	PUNCT
cana-1248	78	1	[	[	X
cana-1248	78	2	15	15	NUM
cana-1248	78	3	]	]	PUNCT
cana-1248	78	4	picardlindeloöf	picardlindeloöf	NOUN
cana-1248	78	5	method	method	NOUN
cana-1248	78	6	analyzes	analyze	VERB
cana-1248	78	7	worm	worm	NOUN
cana-1248	78	8	propagation	propagation	NOUN
cana-1248	78	9	in	in	ADP
cana-1248	78	10	iot	iot	NOUN
cana-1248	78	11	with	with	ADP
cana-1248	78	12	fractional	fractional	ADJ
cana-1248	78	13	derivatives	derivative	NOUN
cana-1248	78	14	;	;	PUNCT
cana-1248	78	15	compares	compare	VERB
cana-1248	78	16	fractional	fractional	ADJ
cana-1248	78	17	and	and	CCONJ
cana-1248	78	18	integerorder	integerorder	NOUN
cana-1248	78	19	models	model	NOUN
cana-1248	78	20	demonstrated	demonstrate	VERB
cana-1248	78	21	benefits	benefit	NOUN
cana-1248	78	22	of	of	ADP
cana-1248	78	23	fractional	fractional	ADJ
cana-1248	78	24	-	-	PUNCT
cana-1248	78	25	order	order	NOUN
cana-1248	78	26	models	model	NOUN
cana-1248	78	27	;	;	PUNCT
cana-1248	78	28	effective	effective	ADJ
cana-1248	78	29	control	control	NOUN
cana-1248	78	30	via	via	ADP
cana-1248	78	31	periodically	periodically	ADV
cana-1248	78	32	intermittent	intermittent	ADJ
cana-1248	78	33	controllers	controller	NOUN
cana-1248	78	34	.	.	PUNCT
cana-1248	79	1	sometimes	sometimes	ADV
cana-1248	79	2	existing	exist	VERB
cana-1248	79	3	methods	method	NOUN
cana-1248	79	4	as	as	ADP
cana-1248	79	5	in	in	ADP
cana-1248	79	6	table	table	NOUN
cana-1248	79	7	1	1	NUM
cana-1248	79	8	in	in	ADP
cana-1248	79	9	capturing	capture	VERB
cana-1248	79	10	the	the	DET
cana-1248	79	11	complete	complete	ADJ
cana-1248	79	12	complexity	complexity	NOUN
cana-1248	79	13	of	of	ADP
cana-1248	79	14	malicious	malicious	ADJ
cana-1248	79	15	code	code	NOUN
cana-1248	79	16	propagation	propagation	NOUN
cana-1248	79	17	are	be	AUX
cana-1248	79	18	hampered	hamper	VERB
cana-1248	79	19	by	by	ADP
cana-1248	79	20	static	static	ADJ
cana-1248	79	21	models	model	NOUN
cana-1248	79	22	and	and	CCONJ
cana-1248	79	23	inadequate	inadequate	ADJ
cana-1248	79	24	handling	handling	NOUN
cana-1248	79	25	of	of	ADP
cana-1248	79	26	changing	change	VERB
cana-1248	79	27	network	network	NOUN
cana-1248	79	28	settings	setting	NOUN
cana-1248	79	29	.	.	PUNCT
cana-1248	80	1	combining	combine	VERB
cana-1248	80	2	dynamic	dynamic	ADJ
cana-1248	80	3	learning	learning	NOUN
cana-1248	80	4	algorithms	algorithm	NOUN
cana-1248	80	5	with	with	ADP
cana-1248	80	6	fractional	fractional	ADJ
cana-1248	80	7	calculus	calculus	NOUN
cana-1248	80	8	will	will	AUX
cana-1248	80	9	enable	enable	VERB
cana-1248	80	10	advanced	advanced	ADJ
cana-1248	80	11	models	model	NOUN
cana-1248	80	12	to	to	PART
cana-1248	80	13	provide	provide	VERB
cana-1248	80	14	a	a	DET
cana-1248	80	15	more	more	ADV
cana-1248	80	16	complex	complex	ADJ
cana-1248	80	17	knowledge	knowledge	NOUN
cana-1248	80	18	of	of	ADP
cana-1248	80	19	worm	worm	NOUN
cana-1248	80	20	behavior	behavior	NOUN
cana-1248	80	21	and	and	CCONJ
cana-1248	80	22	effective	effective	ADJ
cana-1248	80	23	countermeasures	countermeasure	NOUN
cana-1248	80	24	.	.	PUNCT
cana-1248	81	1	moreover	moreover	ADV
cana-1248	81	2	,	,	PUNCT
cana-1248	81	3	present	present	ADJ
cana-1248	81	4	models	model	NOUN
cana-1248	81	5	might	might	AUX
cana-1248	81	6	not	not	PART
cana-1248	81	7	be	be	AUX
cana-1248	81	8	enough	enough	ADJ
cana-1248	81	9	to	to	PART
cana-1248	81	10	manage	manage	VERB
cana-1248	81	11	the	the	DET
cana-1248	81	12	variation	variation	NOUN
cana-1248	81	13	in	in	ADP
cana-1248	81	14	network	network	NOUN
cana-1248	81	15	environments	environment	NOUN
cana-1248	81	16	or	or	CCONJ
cana-1248	81	17	the	the	DET
cana-1248	81	18	influence	influence	NOUN
cana-1248	81	19	of	of	ADP
cana-1248	81	20	shifting	shift	VERB
cana-1248	81	21	threats	threat	NOUN
cana-1248	81	22	,	,	PUNCT
cana-1248	81	23	thereby	thereby	ADV
cana-1248	81	24	creating	create	VERB
cana-1248	81	25	a	a	DET
cana-1248	81	26	need	need	NOUN
cana-1248	81	27	for	for	ADP
cana-1248	81	28	more	more	ADV
cana-1248	81	29	flexible	flexible	ADJ
cana-1248	81	30	and	and	CCONJ
cana-1248	81	31	strong	strong	ADJ
cana-1248	81	32	detection	detection	NOUN
cana-1248	81	33	methods	method	NOUN
cana-1248	81	34	.	.	PUNCT
cana-1248	82	1	3	3	X
cana-1248	82	2	.	.	NUM
cana-1248	82	3	proposed	propose	VERB
cana-1248	82	4	method	method	NOUN
cana-1248	82	5	combining	combine	VERB
cana-1248	82	6	nonlinear	nonlinear	ADJ
cana-1248	82	7	fractional	fractional	ADJ
cana-1248	82	8	calculus	calculus	NOUN
cana-1248	82	9	into	into	ADP
cana-1248	82	10	artificial	artificial	ADJ
cana-1248	82	11	neural	neural	ADJ
cana-1248	82	12	networks	network	NOUN
cana-1248	82	13	(	(	PUNCT
cana-1248	82	14	anns	anns	PROPN
cana-1248	82	15	)	)	PUNCT
cana-1248	82	16	helps	help	VERB
cana-1248	82	17	to	to	PART
cana-1248	82	18	enhance	enhance	VERB
cana-1248	82	19	the	the	DET
cana-1248	82	20	detection	detection	NOUN
cana-1248	82	21	and	and	CCONJ
cana-1248	82	22	removal	removal	NOUN
cana-1248	82	23	of	of	ADP
cana-1248	82	24	hazardous	hazardous	ADJ
cana-1248	82	25	nodes	node	NOUN
cana-1248	82	26	in	in	ADP
cana-1248	82	27	wireless	wireless	ADJ
cana-1248	82	28	networks	network	NOUN
cana-1248	82	29	.	.	PUNCT
cana-1248	83	1	with	with	ADP
cana-1248	83	2	fractional	fractional	ADJ
cana-1248	83	3	differential	differential	ADJ
cana-1248	83	4	equations	equation	NOUN
cana-1248	83	5	,	,	PUNCT
cana-1248	83	6	this	this	DET
cana-1248	83	7	approach	approach	NOUN
cana-1248	83	8	describes	describe	VERB
cana-1248	83	9	the	the	DET
cana-1248	83	10	complex	complex	ADJ
cana-1248	83	11	,	,	PUNCT
cana-1248	83	12	nonlinear	nonlinear	ADJ
cana-1248	83	13	transmission	transmission	NOUN
cana-1248	83	14	patterns	pattern	NOUN
cana-1248	83	15	of	of	ADP
cana-1248	83	16	hostile	hostile	ADJ
cana-1248	83	17	behavior	behavior	NOUN
cana-1248	83	18	.	.	PUNCT
cana-1248	84	1	the	the	DET
cana-1248	84	2	method	method	NOUN
cana-1248	84	3	begins	begin	VERB
cana-1248	84	4	with	with	ADP
cana-1248	84	5	the	the	DET
cana-1248	84	6	development	development	NOUN
cana-1248	84	7	of	of	ADP
cana-1248	84	8	a	a	DET
cana-1248	84	9	nonlinear	nonlinear	ADJ
cana-1248	84	10	fractional	fractional	ADJ
cana-1248	84	11	objective	objective	ADJ
cana-1248	84	12	function	function	NOUN
cana-1248	84	13	capable	capable	ADJ
cana-1248	84	14	of	of	ADP
cana-1248	84	15	characterizing	characterize	VERB
cana-1248	84	16	the	the	DET
cana-1248	84	17	dynamic	dynamic	ADJ
cana-1248	84	18	behavior	behavior	NOUN
cana-1248	84	19	of	of	ADP
cana-1248	84	20	hostile	hostile	ADJ
cana-1248	84	21	node	node	ADJ
cana-1248	84	22	distribution	distribution	NOUN
cana-1248	84	23	.	.	PUNCT
cana-1248	85	1	including	include	VERB
cana-1248	85	2	this	this	DET
cana-1248	85	3	capacity	capacity	NOUN
cana-1248	85	4	into	into	ADP
cana-1248	85	5	its	its	PRON
cana-1248	85	6	training	training	NOUN
cana-1248	85	7	phase	phase	NOUN
cana-1248	85	8	helps	help	VERB
cana-1248	85	9	an	an	DET
cana-1248	85	10	ann	ann	PROPN
cana-1248	85	11	learn	learn	VERB
cana-1248	85	12	to	to	PART
cana-1248	85	13	identify	identify	VERB
cana-1248	85	14	and	and	CCONJ
cana-1248	85	15	react	react	VERB
cana-1248	85	16	to	to	ADP
cana-1248	85	17	certain	certain	ADJ
cana-1248	85	18	patterns	pattern	NOUN
cana-1248	85	19	successfully	successfully	ADV
cana-1248	85	20	.	.	PUNCT
cana-1248	86	1	the	the	DET
cana-1248	86	2	method	method	NOUN
cana-1248	86	3	flows	flow	NOUN
cana-1248	86	4	is	be	AUX
cana-1248	86	5	given	give	VERB
cana-1248	86	6	in	in	ADP
cana-1248	86	7	figure	figure	NOUN
cana-1248	86	8	1	1	NUM
cana-1248	86	9	.	.	PUNCT
cana-1248	86	10	communications	communication	NOUN
cana-1248	86	11	on	on	ADP
cana-1248	86	12	applied	apply	VERB
cana-1248	86	13	nonlinear	nonlinear	ADJ
cana-1248	86	14	analysis	analysis	NOUN
cana-1248	86	15	issn	issn	NOUN
cana-1248	86	16	:	:	PUNCT
cana-1248	86	17	1074	1074	NUM
cana-1248	86	18	-	-	PUNCT
cana-1248	86	19	133x	133x	NUM
cana-1248	86	20	vol	vol	NOUN
cana-1248	86	21	31	31	NUM
cana-1248	86	22	no	no	NOUN
cana-1248	86	23	.	.	PUNCT
cana-1248	87	1	6s	6s	NUM
cana-1248	87	2	(	(	PUNCT
cana-1248	87	3	2024	2024	NUM
cana-1248	87	4	)	)	PUNCT
cana-1248	87	5	622	622	NUM
cana-1248	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	87	7	figure	figure	NOUN
cana-1248	87	8	1	1	NUM
cana-1248	87	9	:	:	PUNCT
cana-1248	87	10	proposed	propose	VERB
cana-1248	87	11	flow	flow	NOUN
cana-1248	87	12	pseudocode	pseudocode	PROPN
cana-1248	87	13	#	#	NOUN
cana-1248	87	14	define	define	VERB
cana-1248	87	15	the	the	DET
cana-1248	87	16	nonlinear	nonlinear	ADJ
cana-1248	87	17	fractional	fractional	ADJ
cana-1248	87	18	differential	differential	NOUN
cana-1248	87	19	equation	equation	NOUN
cana-1248	87	20	def	def	PROPN
cana-1248	87	21	fractional_differential_eqn(state	fractional_differential_eqn(state	PROPN
cana-1248	87	22	,	,	PUNCT
cana-1248	87	23	alpha	alpha	NOUN
cana-1248	87	24	):	):	PUNCT
cana-1248	87	25	#	#	NOUN
cana-1248	87	26	implementation	implementation	NOUN
cana-1248	87	27	of	of	ADP
cana-1248	87	28	the	the	DET
cana-1248	87	29	fractional	fractional	ADJ
cana-1248	87	30	differential	differential	ADJ
cana-1248	87	31	equation	equation	NOUN
cana-1248	87	32	pass	pass	VERB
cana-1248	87	33	#	#	NOUN
cana-1248	87	34	define	define	VERB
cana-1248	87	35	the	the	DET
cana-1248	87	36	nonlinear	nonlinear	ADJ
cana-1248	87	37	fractional	fractional	ADJ
cana-1248	87	38	objective	objective	ADJ
cana-1248	87	39	function	function	NOUN
cana-1248	87	40	def	def	PROPN
cana-1248	87	41	objective_function(predicted_state	objective_function(predicted_state	PROPN
cana-1248	87	42	,	,	PUNCT
cana-1248	87	43	actual_state	actual_state	PROPN
cana-1248	87	44	,	,	PUNCT
cana-1248	87	45	alpha	alpha	NOUN
cana-1248	87	46	):	):	PUNCT
cana-1248	87	47	#	#	NOUN
cana-1248	87	48	compute	compute	NOUN
cana-1248	87	49	deviation	deviation	NOUN
cana-1248	87	50	based	base	VERB
cana-1248	87	51	on	on	ADP
cana-1248	87	52	fractional	fractional	ADJ
cana-1248	87	53	calculus	calculus	NOUN
cana-1248	87	54	fractional_deviation	fractional_deviation	NOUN
cana-1248	87	55	=	=	SYM
cana-1248	87	56	compute_fractional_deviation(predicted_state	compute_fractional_deviation(predicted_state	NOUN
cana-1248	87	57	,	,	PUNCT
cana-1248	87	58	actual_state	actual_state	NOUN
cana-1248	87	59	,	,	PUNCT
cana-1248	87	60	alpha	alpha	NOUN
cana-1248	87	61	)	)	PUNCT
cana-1248	87	62	return	return	VERB
cana-1248	87	63	fractional_deviation	fractional_deviation	NOUN
cana-1248	87	64	#	#	NOUN
cana-1248	87	65	integrate	integrate	VERB
cana-1248	87	66	into	into	ADP
cana-1248	87	67	ann	ann	PROPN
cana-1248	87	68	training	training	NOUN
cana-1248	87	69	def	def	PROPN
cana-1248	87	70	train_ann_with_fractional_objective(ann_model	train_ann_with_fractional_objective(ann_model	ADV
cana-1248	87	71	,	,	PUNCT
cana-1248	87	72	training_data	training_data	PROPN
cana-1248	87	73	,	,	PUNCT
cana-1248	87	74	alpha	alpha	NOUN
cana-1248	87	75	):	):	PUNCT
cana-1248	87	76	for	for	ADP
cana-1248	87	77	epoch	epoch	NOUN
cana-1248	87	78	in	in	ADP
cana-1248	87	79	range(num_epochs	range(num_epochs	PROPN
cana-1248	87	80	):	):	PUNCT
cana-1248	87	81	for	for	ADP
cana-1248	87	82	data	datum	NOUN
cana-1248	87	83	in	in	ADP
cana-1248	87	84	training_data	training_data	PROPN
cana-1248	87	85	:	:	PUNCT
cana-1248	87	86	inputs	input	NOUN
cana-1248	87	87	,	,	PUNCT
cana-1248	87	88	targets	target	NOUN
cana-1248	87	89	=	=	SYM
cana-1248	87	90	data	datum	NOUN
cana-1248	87	91	#	#	NOUN
cana-1248	87	92	forward	forward	ADV
cana-1248	87	93	pass	pass	NOUN
cana-1248	87	94	predictions	prediction	NOUN
cana-1248	87	95	=	=	SYM
cana-1248	87	96	ann_model(inputs	ann_model(input	NOUN
cana-1248	87	97	)	)	PUNCT
cana-1248	87	98	#	#	NOUN
cana-1248	87	99	compute	compute	NOUN
cana-1248	87	100	loss	loss	NOUN
cana-1248	87	101	using	use	VERB
cana-1248	87	102	the	the	DET
cana-1248	87	103	fractional	fractional	ADJ
cana-1248	87	104	objective	objective	ADJ
cana-1248	87	105	function	function	NOUN
cana-1248	87	106	loss	loss	NOUN
cana-1248	87	107	=	=	SYM
cana-1248	87	108	objective_function(predictions	objective_function(prediction	NOUN
cana-1248	87	109	,	,	PUNCT
cana-1248	87	110	targets	target	NOUN
cana-1248	87	111	,	,	PUNCT
cana-1248	87	112	alpha	alpha	NOUN
cana-1248	87	113	)	)	PUNCT
cana-1248	87	114	#	#	NOUN
cana-1248	87	115	backward	backward	ADJ
cana-1248	87	116	pass	pass	NOUN
cana-1248	87	117	and	and	CCONJ
cana-1248	87	118	optimization	optimization	NOUN
cana-1248	87	119	ann_model.optimize(loss	ann_model.optimize(loss	NUM
cana-1248	87	120	)	)	PUNCT
cana-1248	87	121	return	return	NOUN
cana-1248	87	122	ann_model	ann_model	ADP
cana-1248	87	123	3.1	3.1	NUM
cana-1248	87	124	.	.	PUNCT
cana-1248	87	125	model	model	NOUN
cana-1248	87	126	formulation	formulation	NOUN
cana-1248	87	127	the	the	DET
cana-1248	87	128	model	model	NOUN
cana-1248	87	129	formulation	formulation	NOUN
cana-1248	87	130	consists	consist	VERB
cana-1248	87	131	in	in	ADP
cana-1248	87	132	developing	develop	VERB
cana-1248	87	133	a	a	DET
cana-1248	87	134	fractional	fractional	ADJ
cana-1248	87	135	differential	differential	ADJ
cana-1248	87	136	equation	equation	NOUN
cana-1248	87	137	to	to	PART
cana-1248	87	138	characterizes	characterize	VERB
cana-1248	87	139	the	the	DET
cana-1248	87	140	propagation	propagation	NOUN
cana-1248	87	141	dynamics	dynamic	NOUN
cana-1248	87	142	of	of	ADP
cana-1248	87	143	hostile	hostile	ADJ
cana-1248	87	144	nodes	node	NOUN
cana-1248	87	145	in	in	ADP
cana-1248	87	146	a	a	DET
cana-1248	87	147	wireless	wireless	ADJ
cana-1248	87	148	network	network	NOUN
cana-1248	87	149	.	.	PUNCT
cana-1248	88	1	this	this	DET
cana-1248	88	2	method	method	ADJ
cana-1248	88	3	fractional	fractional	ADJ
cana-1248	88	4	differential	differential	ADJ
cana-1248	88	5	equations	equation	NOUN
cana-1248	88	6	(	(	PUNCT
cana-1248	88	7	fdes	fde	NOUN
cana-1248	88	8	)	)	PUNCT
cana-1248	88	9	is	be	AUX
cana-1248	88	10	suitable	suitable	ADJ
cana-1248	88	11	for	for	ADP
cana-1248	88	12	modeling	model	VERB
cana-1248	88	13	the	the	DET
cana-1248	88	14	nonlinear	nonlinear	ADJ
cana-1248	88	15	behaviors	behavior	NOUN
cana-1248	88	16	related	relate	VERB
cana-1248	88	17	with	with	ADP
cana-1248	88	18	malicious	malicious	ADJ
cana-1248	88	19	node	node	NOUN
cana-1248	88	20	spread	spread	NOUN
cana-1248	88	21	since	since	SCONJ
cana-1248	88	22	it	it	PRON
cana-1248	88	23	may	may	AUX
cana-1248	88	24	capture	capture	VERB
cana-1248	88	25	the	the	DET
cana-1248	88	26	memory	memory	NOUN
cana-1248	88	27	effects	effect	NOUN
cana-1248	88	28	and	and	CCONJ
cana-1248	88	29	complex	complex	ADJ
cana-1248	88	30	dynamics	dynamic	NOUN
cana-1248	88	31	sometimes	sometimes	ADV
cana-1248	88	32	found	find	VERB
cana-1248	88	33	in	in	ADP
cana-1248	88	34	real	real	ADJ
cana-1248	88	35	-	-	PUNCT
cana-1248	88	36	world	world	NOUN
cana-1248	88	37	model	model	NOUN
cana-1248	88	38	formulation	formulation	NOUN
cana-1248	88	39	objective	objective	ADJ
cana-1248	88	40	function	function	NOUN
cana-1248	88	41	design	design	NOUN
cana-1248	88	42	ann	ann	PROPN
cana-1248	88	43	integration	integration	NOUN
cana-1248	88	44	training	training	NOUN
cana-1248	88	45	and	and	CCONJ
cana-1248	88	46	testing	testing	NOUN
cana-1248	88	47	evaluation	evaluation	NOUN
cana-1248	88	48	communications	communication	NOUN
cana-1248	88	49	on	on	ADP
cana-1248	88	50	applied	apply	VERB
cana-1248	88	51	nonlinear	nonlinear	ADJ
cana-1248	88	52	analysis	analysis	NOUN
cana-1248	88	53	issn	issn	NOUN
cana-1248	88	54	:	:	PUNCT
cana-1248	88	55	1074	1074	NUM
cana-1248	88	56	-	-	PUNCT
cana-1248	88	57	133x	133x	NUM
cana-1248	88	58	vol	vol	NOUN
cana-1248	88	59	31	31	NUM
cana-1248	88	60	no	no	NOUN
cana-1248	88	61	.	.	PUNCT
cana-1248	89	1	6s	6s	NUM
cana-1248	89	2	(	(	PUNCT
cana-1248	89	3	2024	2024	NUM
cana-1248	89	4	)	)	PUNCT
cana-1248	89	5	623	623	NUM
cana-1248	89	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	89	7	systems	system	NOUN
cana-1248	89	8	.	.	PUNCT
cana-1248	90	1	using	use	VERB
cana-1248	90	2	fractional	fractional	ADJ
cana-1248	90	3	calculus	calculus	NOUN
cana-1248	90	4	extends	extend	VERB
cana-1248	90	5	classical	classical	ADJ
cana-1248	90	6	differentiation	differentiation	NOUN
cana-1248	90	7	and	and	CCONJ
cana-1248	90	8	integration	integration	NOUN
cana-1248	90	9	to	to	ADP
cana-1248	90	10	non	non	ADJ
cana-1248	90	11	-	-	ADJ
cana-1248	90	12	integer	integer	ADJ
cana-1248	90	13	orders	order	NOUN
cana-1248	90	14	.	.	PUNCT
cana-1248	91	1	this	this	DET
cana-1248	91	2	model	model	NOUN
cana-1248	91	3	applies	apply	VERB
cana-1248	91	4	a	a	DET
cana-1248	91	5	fractional	fractional	ADJ
cana-1248	91	6	differential	differential	NOUN
cana-1248	91	7	equation	equation	NOUN
cana-1248	91	8	derived	derive	VERB
cana-1248	91	9	as	as	SCONJ
cana-1248	91	10	follows	follow	VERB
cana-1248	91	11	:	:	PUNCT
cana-1248	91	12	(	(	PUNCT
cana-1248	91	13	)	)	PUNCT
cana-1248	91	14	(	(	PUNCT
cana-1248	91	15	)	)	PUNCT
cana-1248	91	16	(	(	PUNCT
cana-1248	91	17	)	)	PUNCT
cana-1248	91	18	n	n	ADP
cana-1248	91	19	t	t	PROPN
cana-1248	91	20	n	n	ADP
cana-1248	91	21	t	t	PROPN
cana-1248	91	22	m	m	PROPN
cana-1248	91	23	t	t	PROPN
cana-1248	91	24	t	t	NOUN
cana-1248	91	25			PUNCT
cana-1248	91	26			X
cana-1248	91	27			PROPN
cana-1248	91	28			NUM
cana-1248	91	29			NOUN
cana-1248	91	30	=	=	SYM
cana-1248	92	1			ADJ
cana-1248	92	2	+	+	CCONJ
cana-1248	92	3			ADJ
cana-1248	92	4			NOUN
cana-1248	92	5	where	where	SCONJ
cana-1248	92	6	:	:	PUNCT
cana-1248	92	7	n(t	n(t	NOUN
cana-1248	92	8	)	)	PUNCT
cana-1248	92	9	number	number	NOUN
cana-1248	92	10	of	of	ADP
cana-1248	92	11	malicious	malicious	ADJ
cana-1248	92	12	nodes	node	NOUN
cana-1248	92	13	at	at	ADP
cana-1248	92	14	time	time	NOUN
cana-1248	92	15	t.	t.	PROPN
cana-1248	92	16	t	t	PROPN
cana-1248	92	17			X
cana-1248	92	18			PRON
cana-1248	92	19			ADJ
cana-1248	92	20			ADJ
cana-1248	92	21	fractional	fractional	ADJ
cana-1248	92	22	derivative	derivative	NOUN
cana-1248	92	23	of	of	ADP
cana-1248	92	24	order	order	NOUN
cana-1248	92	25	α	α	NOUN
cana-1248	92	26	,	,	PUNCT
cana-1248	92	27	with	with	ADP
cana-1248	92	28	0	0	NUM
cana-1248	92	29	<	<	NOUN
cana-1248	92	30	α<10	α<10	NOUN
cana-1248	92	31	.	.	PUNCT
cana-1248	93	1	this	this	DET
cana-1248	93	2	fractional	fractional	ADJ
cana-1248	93	3	order	order	NOUN
cana-1248	93	4	catches	catch	VERB
cana-1248	93	5	the	the	DET
cana-1248	93	6	non	non	ADJ
cana-1248	93	7	-	-	ADJ
cana-1248	93	8	local	local	ADJ
cana-1248	93	9	behavior	behavior	NOUN
cana-1248	93	10	and	and	CCONJ
cana-1248	93	11	memory	memory	NOUN
cana-1248	93	12	effects	effect	NOUN
cana-1248	93	13	in	in	ADP
cana-1248	93	14	the	the	DET
cana-1248	93	15	propagation	propagation	NOUN
cana-1248	93	16	dynamics	dynamic	NOUN
cana-1248	93	17	.	.	PUNCT
cana-1248	94	1	β	β	X
cana-1248	94	2	coefficient	coefficient	NOUN
cana-1248	94	3	representing	represent	VERB
cana-1248	94	4	the	the	DET
cana-1248	94	5	rate	rate	NOUN
cana-1248	94	6	at	at	ADP
cana-1248	94	7	which	which	PRON
cana-1248	94	8	existing	exist	VERB
cana-1248	94	9	malicious	malicious	ADJ
cana-1248	94	10	nodes	node	NOUN
cana-1248	94	11	spread	spread	VERB
cana-1248	94	12	.	.	PUNCT
cana-1248	95	1	γ	γ	PROPN
cana-1248	95	2	coefficient	coefficient	NOUN
cana-1248	95	3	representing	represent	VERB
cana-1248	95	4	newly	newly	ADV
cana-1248	95	5	introduced	introduce	VERB
cana-1248	95	6	malicious	malicious	ADJ
cana-1248	95	7	nodes	node	NOUN
cana-1248	95	8	on	on	ADP
cana-1248	95	9	the	the	DET
cana-1248	95	10	overall	overall	ADJ
cana-1248	95	11	propagation	propagation	NOUN
cana-1248	95	12	.	.	PUNCT
cana-1248	96	1	the	the	DET
cana-1248	96	2	riemann	riemann	PROPN
cana-1248	96	3	-	-	PUNCT
cana-1248	96	4	liouville	liouville	NOUN
cana-1248	96	5	definition	definition	NOUN
cana-1248	96	6	lets	let	VERB
cana-1248	96	7	one	one	PRON
cana-1248	96	8	write	write	VERB
cana-1248	96	9	the	the	DET
cana-1248	96	10	fractional	fractional	ADJ
cana-1248	96	11	derivative	derivative	NOUN
cana-1248	96	12	(	(	PUNCT
cana-1248	96	13	)	)	PUNCT
cana-1248	96	14	n	n	ADP
cana-1248	96	15	t	t	NOUN
cana-1248	96	16	t	t	NOUN
cana-1248	96	17			X
cana-1248	96	18			PROPN
cana-1248	96	19			ADJ
cana-1248	96	20			ADJ
cana-1248	96	21	as	as	ADP
cana-1248	96	22	:	:	SYM
cana-1248	96	23	0	0	NUM
cana-1248	96	24	(	(	PUNCT
cana-1248	96	25	)	)	PUNCT
cana-1248	96	26	1	1	NUM
cana-1248	96	27	(	(	PUNCT
cana-1248	96	28	)	)	PUNCT
cana-1248	96	29	(	(	PUNCT
cana-1248	96	30	)	)	PUNCT
cana-1248	96	31	(	(	PUNCT
cana-1248	96	32	1	1	X
cana-1248	96	33	)	)	PUNCT
cana-1248	96	34	tn	tn	PROPN
cana-1248	96	35	t	t	PROPN
cana-1248	96	36	n	n	ADP
cana-1248	96	37	t	t	PROPN
cana-1248	96	38	d	d	X
cana-1248	96	39	t	t	PROPN
cana-1248	96	40	t	t	NOUN
cana-1248	96	41			X
cana-1248	96	42			X
cana-1248	96	43			PRON
cana-1248	96	44			NOUN
cana-1248	96	45			NOUN
cana-1248	96	46			NOUN
cana-1248	96	47			X
cana-1248	96	48			PROPN
cana-1248	96	49	−	−	PROPN
cana-1248	96	50			ADJ
cana-1248	96	51			NOUN
cana-1248	96	52	=	=	SYM
cana-1248	97	1	−	−	PROPN
cana-1248	97	2			ADJ
cana-1248	97	3			PUNCT
cana-1248	97	4	−	−	PROPN
cana-1248	97	5			ADJ
cana-1248	97	6			NOUN
cana-1248	97	7	where	where	SCONJ
cana-1248	97	8	γ(⋅	γ(⋅	NOUN
cana-1248	97	9	)	)	PUNCT
cana-1248	97	10	the	the	DET
cana-1248	97	11	gamma	gamma	NOUN
cana-1248	97	12	function	function	NOUN
cana-1248	97	13	is	be	AUX
cana-1248	97	14	obtained	obtain	VERB
cana-1248	97	15	generalizing	generalize	VERB
cana-1248	97	16	the	the	DET
cana-1248	97	17	factorial	factorial	ADJ
cana-1248	97	18	function	function	NOUN
cana-1248	97	19	to	to	ADP
cana-1248	97	20	non	non	ADJ
cana-1248	97	21	-	-	ADJ
cana-1248	97	22	integer	integer	ADJ
cana-1248	97	23	orders	order	NOUN
cana-1248	97	24	analyzing	analyze	VERB
cana-1248	97	25	the	the	DET
cana-1248	97	26	fractional	fractional	ADJ
cana-1248	97	27	order	order	NOUN
cana-1248	97	28	of	of	ADP
cana-1248	97	29	propagation	propagation	NOUN
cana-1248	97	30	helps	help	VERB
cana-1248	97	31	one	one	NUM
cana-1248	97	32	to	to	PART
cana-1248	97	33	detect	detect	VERB
cana-1248	97	34	the	the	DET
cana-1248	97	35	spread	spread	NOUN
cana-1248	97	36	of	of	ADP
cana-1248	97	37	hostile	hostile	ADJ
cana-1248	97	38	nodes	node	NOUN
cana-1248	97	39	by	by	ADP
cana-1248	97	40	reflecting	reflect	VERB
cana-1248	97	41	the	the	DET
cana-1248	97	42	complex	complex	ADJ
cana-1248	97	43	,	,	PUNCT
cana-1248	97	44	time	time	NOUN
cana-1248	97	45	-	-	PUNCT
cana-1248	97	46	dependent	dependent	ADJ
cana-1248	97	47	character	character	NOUN
cana-1248	97	48	of	of	ADP
cana-1248	97	49	such	such	ADJ
cana-1248	97	50	attacks	attack	NOUN
cana-1248	97	51	.	.	PUNCT
cana-1248	98	1	the	the	DET
cana-1248	98	2	term	term	NOUN
cana-1248	98	3	(	(	PUNCT
cana-1248	98	4	)	)	PUNCT
cana-1248	98	5	n	n	CCONJ
cana-1248	98	6	t	t	PRON
cana-1248	98	7			PROPN
cana-1248	98	8	models	model	NOUN
cana-1248	98	9	the	the	DET
cana-1248	98	10	intrinsic	intrinsic	ADJ
cana-1248	98	11	spread	spread	NOUN
cana-1248	98	12	of	of	ADP
cana-1248	98	13	malicious	malicious	ADJ
cana-1248	98	14	nodes	node	NOUN
cana-1248	98	15	,	,	PUNCT
cana-1248	98	16	while	while	SCONJ
cana-1248	98	17	(	(	PUNCT
cana-1248	98	18	)	)	PUNCT
cana-1248	98	19	m	m	VERB
cana-1248	98	20	t	t	PUNCT
cana-1248	99	1			VERB
cana-1248	99	2	accounts	account	NOUN
cana-1248	99	3	for	for	ADP
cana-1248	99	4	the	the	DET
cana-1248	99	5	influence	influence	NOUN
cana-1248	99	6	of	of	ADP
cana-1248	99	7	external	external	ADJ
cana-1248	99	8	factors	factor	NOUN
cana-1248	99	9	or	or	CCONJ
cana-1248	99	10	new	new	ADJ
cana-1248	99	11	malicious	malicious	ADJ
cana-1248	99	12	nodes	node	NOUN
cana-1248	99	13	entering	enter	VERB
cana-1248	99	14	the	the	DET
cana-1248	99	15	network	network	NOUN
cana-1248	99	16	.	.	PUNCT
cana-1248	100	1	by	by	ADP
cana-1248	100	2	including	include	VERB
cana-1248	100	3	these	these	DET
cana-1248	100	4	dynamics	dynamic	NOUN
cana-1248	100	5	into	into	ADP
cana-1248	100	6	the	the	DET
cana-1248	100	7	ann	ann	PROPN
cana-1248	100	8	,	,	PUNCT
cana-1248	100	9	the	the	DET
cana-1248	100	10	model	model	NOUN
cana-1248	100	11	can	can	AUX
cana-1248	100	12	better	well	ADV
cana-1248	100	13	imitate	imitate	VERB
cana-1248	100	14	and	and	CCONJ
cana-1248	100	15	respond	respond	VERB
cana-1248	100	16	to	to	ADP
cana-1248	100	17	the	the	DET
cana-1248	100	18	real	real	ADJ
cana-1248	100	19	-	-	PUNCT
cana-1248	100	20	time	time	NOUN
cana-1248	100	21	behavior	behavior	NOUN
cana-1248	100	22	of	of	ADP
cana-1248	100	23	hazardous	hazardous	ADJ
cana-1248	100	24	actions	action	NOUN
cana-1248	100	25	,	,	PUNCT
cana-1248	100	26	hence	hence	ADV
cana-1248	100	27	improving	improve	VERB
cana-1248	100	28	the	the	DET
cana-1248	100	29	security	security	NOUN
cana-1248	100	30	condition	condition	NOUN
cana-1248	100	31	of	of	ADP
cana-1248	100	32	the	the	DET
cana-1248	100	33	network	network	NOUN
cana-1248	100	34	.	.	PUNCT
cana-1248	101	1	the	the	DET
cana-1248	101	2	integration	integration	NOUN
cana-1248	101	3	of	of	ADP
cana-1248	101	4	this	this	DET
cana-1248	101	5	fractional	fractional	ADJ
cana-1248	101	6	differential	differential	ADJ
cana-1248	101	7	equation	equation	NOUN
cana-1248	101	8	into	into	ADP
cana-1248	101	9	the	the	DET
cana-1248	101	10	ann	ann	PROPN
cana-1248	101	11	framework	framework	NOUN
cana-1248	101	12	enhances	enhance	VERB
cana-1248	101	13	the	the	DET
cana-1248	101	14	capacity	capacity	NOUN
cana-1248	101	15	of	of	ADP
cana-1248	101	16	the	the	DET
cana-1248	101	17	model	model	NOUN
cana-1248	101	18	to	to	PART
cana-1248	101	19	detect	detect	VERB
cana-1248	101	20	and	and	CCONJ
cana-1248	101	21	mitigate	mitigate	VERB
cana-1248	101	22	dangers	danger	NOUN
cana-1248	101	23	by	by	ADP
cana-1248	101	24	means	mean	NOUN
cana-1248	101	25	of	of	ADP
cana-1248	101	26	a	a	DET
cana-1248	101	27	more	more	ADV
cana-1248	101	28	precise	precise	ADJ
cana-1248	101	29	and	and	CCONJ
cana-1248	101	30	complex	complex	ADJ
cana-1248	101	31	description	description	NOUN
cana-1248	101	32	of	of	ADP
cana-1248	101	33	malicious	malicious	ADJ
cana-1248	101	34	node	node	ADJ
cana-1248	101	35	propagation	propagation	NOUN
cana-1248	101	36	.	.	PUNCT
cana-1248	102	1	3.2	3.2	NUM
cana-1248	102	2	.	.	X
cana-1248	102	3	objective	objective	ADJ
cana-1248	102	4	function	function	NOUN
cana-1248	102	5	the	the	DET
cana-1248	102	6	proposed	propose	VERB
cana-1248	102	7	goal	goal	NOUN
cana-1248	102	8	function	function	NOUN
cana-1248	102	9	enhances	enhance	VERB
cana-1248	102	10	the	the	DET
cana-1248	102	11	learning	learning	NOUN
cana-1248	102	12	process	process	NOUN
cana-1248	102	13	of	of	ADP
cana-1248	102	14	the	the	DET
cana-1248	102	15	artificial	artificial	ADJ
cana-1248	102	16	neural	neural	ADJ
cana-1248	102	17	network	network	NOUN
cana-1248	102	18	(	(	PUNCT
cana-1248	102	19	ann	ann	PROPN
cana-1248	102	20	)	)	PUNCT
cana-1248	102	21	by	by	ADP
cana-1248	102	22	solving	solve	VERB
cana-1248	102	23	the	the	DET
cana-1248	102	24	propagation	propagation	NOUN
cana-1248	102	25	of	of	ADP
cana-1248	102	26	detrimental	detrimental	ADJ
cana-1248	102	27	nodes	node	NOUN
cana-1248	102	28	using	use	VERB
cana-1248	102	29	fractional	fractional	ADJ
cana-1248	102	30	calculus	calculus	NOUN
cana-1248	102	31	.	.	PUNCT
cana-1248	103	1	this	this	DET
cana-1248	103	2	function	function	NOUN
cana-1248	103	3	tries	try	VERB
cana-1248	103	4	to	to	PART
cana-1248	103	5	quantify	quantify	VERB
cana-1248	103	6	the	the	DET
cana-1248	103	7	variation	variation	NOUN
cana-1248	103	8	between	between	ADP
cana-1248	103	9	the	the	DET
cana-1248	103	10	expected	expect	VERB
cana-1248	103	11	and	and	CCONJ
cana-1248	103	12	actual	actual	ADJ
cana-1248	103	13	states	state	NOUN
cana-1248	103	14	of	of	ADP
cana-1248	103	15	the	the	DET
cana-1248	103	16	network	network	NOUN
cana-1248	103	17	with	with	ADP
cana-1248	103	18	respect	respect	NOUN
cana-1248	103	19	for	for	ADP
cana-1248	103	20	the	the	DET
cana-1248	103	21	nonlinear	nonlinear	ADJ
cana-1248	103	22	dynamics	dynamic	NOUN
cana-1248	103	23	captured	capture	VERB
cana-1248	103	24	by	by	ADP
cana-1248	103	25	the	the	DET
cana-1248	103	26	fractional	fractional	ADJ
cana-1248	103	27	differential	differential	ADJ
cana-1248	103	28	equation	equation	NOUN
cana-1248	103	29	.	.	PUNCT
cana-1248	104	1	the	the	DET
cana-1248	104	2	nonlinear	nonlinear	ADJ
cana-1248	104	3	fractional	fractional	ADJ
cana-1248	104	4	objective	objective	ADJ
cana-1248	104	5	function	function	NOUN
cana-1248	104	6	l	l	NOUN
cana-1248	104	7	is	be	AUX
cana-1248	104	8	defined	define	VERB
cana-1248	104	9	as	as	SCONJ
cana-1248	104	10	follows	follow	VERB
cana-1248	104	11	:	:	PUNCT
cana-1248	104	12	2	2	NUM
cana-1248	104	13	1	1	NUM
cana-1248	104	14	ˆ	ˆ	NOUN
cana-1248	104	15	(	(	PUNCT
cana-1248	104	16	)	)	PUNCT
cana-1248	104	17	(	(	PUNCT
cana-1248	104	18	)	)	SYM
cana-1248	104	19	1	1	NUM
cana-1248	104	20	ˆ	ˆ	PROPN
cana-1248	104	21	(	(	PUNCT
cana-1248	104	22	,	,	PUNCT
cana-1248	104	23	,	,	PUNCT
cana-1248	104	24	)	)	PUNCT
cana-1248	105	1	n	n	CCONJ
cana-1248	105	2	i	i	PRON
cana-1248	106	1	i	i	PRON
cana-1248	107	1	i	i	VERB
cana-1248	108	1	y	y	VERB
cana-1248	108	2	t	t	PROPN
cana-1248	108	3	y	y	PROPN
cana-1248	108	4	t	t	PROPN
cana-1248	108	5	l	l	NOUN
cana-1248	108	6	n	n	ADP
cana-1248	108	7	t	t	NOUN
cana-1248	108	8	t	t	NOUN
cana-1248	108	9			X
cana-1248	108	10			X
cana-1248	108	11			X
cana-1248	108	12			X
cana-1248	108	13			NUM
cana-1248	108	14	=	=	SYM
cana-1248	108	15			ADJ
cana-1248	108	16			NOUN
cana-1248	108	17	=	=	SYM
cana-1248	109	1	−	−	PROPN
cana-1248	109	2			ADJ
cana-1248	109	3			ADJ
cana-1248	109	4	y	y	NOUN
cana-1248	109	5	y	y	PROPN
cana-1248	109	6	communications	communication	NOUN
cana-1248	109	7	on	on	ADP
cana-1248	109	8	applied	apply	VERB
cana-1248	109	9	nonlinear	nonlinear	ADJ
cana-1248	109	10	analysis	analysis	NOUN
cana-1248	109	11	issn	issn	NOUN
cana-1248	109	12	:	:	PUNCT
cana-1248	109	13	1074	1074	NUM
cana-1248	109	14	-	-	PUNCT
cana-1248	109	15	133x	133x	NUM
cana-1248	109	16	vol	vol	NOUN
cana-1248	109	17	31	31	NUM
cana-1248	109	18	no	no	NOUN
cana-1248	109	19	.	.	PUNCT
cana-1248	110	1	6s	6s	NUM
cana-1248	110	2	(	(	PUNCT
cana-1248	110	3	2024	2024	NUM
cana-1248	110	4	)	)	PUNCT
cana-1248	110	5	624	624	NUM
cana-1248	110	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	110	7	where	where	SCONJ
cana-1248	110	8	:	:	PUNCT
cana-1248	110	9	y	y	PROPN
cana-1248	110	10	actual	actual	ADJ
cana-1248	110	11	network	network	NOUN
cana-1248	110	12	state	state	NOUN
cana-1248	110	13	,	,	PUNCT
cana-1248	110	14	and	and	CCONJ
cana-1248	110	15	y	y	PROPN
cana-1248	110	16	predicted	predict	VERB
cana-1248	110	17	network	network	NOUN
cana-1248	110	18	state	state	NOUN
cana-1248	110	19	.	.	PUNCT
cana-1248	111	1	n	n	DET
cana-1248	111	2	number	number	NOUN
cana-1248	111	3	of	of	ADP
cana-1248	111	4	data	datum	NOUN
cana-1248	111	5	points	point	NOUN
cana-1248	111	6	or	or	CCONJ
cana-1248	111	7	samples	sample	NOUN
cana-1248	111	8	.	.	PUNCT
cana-1248	112	1	t	t	NOUN
cana-1248	112	2			X
cana-1248	112	3			PROPN
cana-1248	112	4			ADJ
cana-1248	112	5			ADJ
cana-1248	112	6	fractional	fractional	ADJ
cana-1248	112	7	derivative	derivative	NOUN
cana-1248	112	8	of	of	ADP
cana-1248	112	9	order	order	NOUN
cana-1248	112	10	α	α	NOUN
cana-1248	112	11	.	.	PUNCT
cana-1248	113	1	α	α	PRON
cana-1248	113	2	fractional	fractional	ADJ
cana-1248	113	3	order	order	NOUN
cana-1248	113	4	regulating	regulate	VERB
cana-1248	113	5	memory	memory	NOUN
cana-1248	113	6	effects	effect	NOUN
cana-1248	113	7	degree	degree	NOUN
cana-1248	113	8	and	and	CCONJ
cana-1248	113	9	nonlinearity	nonlinearity	NOUN
cana-1248	113	10	of	of	ADP
cana-1248	113	11	propagation	propagation	NOUN
cana-1248	113	12	dynamics	dynamic	NOUN
cana-1248	113	13	.	.	PUNCT
cana-1248	114	1			ADJ
cana-1248	114	2	absolute	absolute	ADJ
cana-1248	114	3	value	value	NOUN
cana-1248	114	4	.	.	PUNCT
cana-1248	115	1	the	the	DET
cana-1248	115	2	fractional	fractional	ADJ
cana-1248	115	3	derivative	derivative	ADJ
cana-1248	115	4	term	term	NOUN
cana-1248	115	5	ˆ	ˆ	NOUN
cana-1248	115	6	(	(	PUNCT
cana-1248	115	7	)	)	PUNCT
cana-1248	115	8	iy	iy	PROPN
cana-1248	115	9	t	t	PROPN
cana-1248	115	10	t	t	PROPN
cana-1248	115	11			X
cana-1248	115	12			PRON
cana-1248	115	13			ADJ
cana-1248	115	14			PROPN
cana-1248	115	15	is	be	AUX
cana-1248	115	16	computed	compute	VERB
cana-1248	115	17	using	use	VERB
cana-1248	115	18	the	the	DET
cana-1248	115	19	riemann	riemann	PROPN
cana-1248	115	20	-	-	PUNCT
cana-1248	115	21	liouville	liouville	NOUN
cana-1248	115	22	definition	definition	NOUN
cana-1248	115	23	,	,	PUNCT
cana-1248	115	24	same	same	ADJ
cana-1248	115	25	as	as	ADP
cana-1248	115	26	in	in	ADP
cana-1248	115	27	the	the	DET
cana-1248	115	28	model	model	NOUN
cana-1248	115	29	development	development	NOUN
cana-1248	115	30	:	:	PUNCT
cana-1248	115	31	0	0	NUM
cana-1248	115	32	ˆ	ˆ	X
cana-1248	115	33	ˆ	ˆ	PROPN
cana-1248	115	34	(	(	PUNCT
cana-1248	115	35	)	)	PUNCT
cana-1248	115	36	(	(	PUNCT
cana-1248	115	37	)	)	PUNCT
cana-1248	115	38	1	1	NUM
cana-1248	115	39	(	(	PUNCT
cana-1248	115	40	)	)	PUNCT
cana-1248	115	41	(	(	PUNCT
cana-1248	115	42	1	1	X
cana-1248	115	43	)	)	PUNCT
cana-1248	115	44	t	t	NOUN
cana-1248	116	1	i	i	PRON
cana-1248	116	2	iy	iy	INTJ
cana-1248	117	1	t	t	PROPN
cana-1248	117	2	y	y	PROPN
cana-1248	118	1	t	t	PROPN
cana-1248	118	2	d	d	X
cana-1248	118	3	t	t	PROPN
cana-1248	118	4	t	t	PROPN
cana-1248	118	5			X
cana-1248	118	6			X
cana-1248	118	7			PRON
cana-1248	118	8			NOUN
cana-1248	118	9			NOUN
cana-1248	118	10			NOUN
cana-1248	118	11			X
cana-1248	118	12			NOUN
cana-1248	118	13	−	−	NOUN
cana-1248	118	14			NOUN
cana-1248	118	15	=	=	PUNCT
cana-1248	119	1	−	−	PROPN
cana-1248	119	2			ADJ
cana-1248	119	3			PUNCT
cana-1248	119	4	−	−	PROPN
cana-1248	119	5			ADJ
cana-1248	119	6			NOUN
cana-1248	119	7	it	it	PRON
cana-1248	119	8	is	be	AUX
cana-1248	119	9	designed	design	VERB
cana-1248	119	10	to	to	PART
cana-1248	119	11	measure	measure	VERB
cana-1248	119	12	the	the	DET
cana-1248	119	13	expected	expected	ADJ
cana-1248	119	14	and	and	CCONJ
cana-1248	119	15	actual	actual	ADJ
cana-1248	119	16	states	state	NOUN
cana-1248	119	17	of	of	ADP
cana-1248	119	18	the	the	DET
cana-1248	119	19	network	network	NOUN
cana-1248	119	20	,	,	PUNCT
cana-1248	119	21	modified	modify	VERB
cana-1248	119	22	for	for	ADP
cana-1248	119	23	nonlinear	nonlinear	ADJ
cana-1248	119	24	dynamics	dynamic	NOUN
cana-1248	119	25	of	of	ADP
cana-1248	119	26	malicious	malicious	ADJ
cana-1248	119	27	node	node	ADJ
cana-1248	119	28	propagation	propagation	NOUN
cana-1248	119	29	,	,	PUNCT
cana-1248	119	30	the	the	DET
cana-1248	119	31	objective	objective	ADJ
cana-1248	119	32	function	function	NOUN
cana-1248	119	33	l	l	NOUN
cana-1248	119	34	is	be	AUX
cana-1248	119	35	incorporating	incorporate	VERB
cana-1248	119	36	fractional	fractional	ADJ
cana-1248	119	37	derivatives	derivative	NOUN
cana-1248	119	38	helps	help	VERB
cana-1248	119	39	the	the	DET
cana-1248	119	40	function	function	NOUN
cana-1248	119	41	to	to	PART
cana-1248	119	42	consider	consider	VERB
cana-1248	119	43	the	the	DET
cana-1248	119	44	memory	memory	NOUN
cana-1248	119	45	and	and	CCONJ
cana-1248	119	46	non	non	ADJ
cana-1248	119	47	-	-	ADJ
cana-1248	119	48	local	local	ADJ
cana-1248	119	49	impacts	impact	NOUN
cana-1248	119	50	of	of	ADP
cana-1248	119	51	the	the	DET
cana-1248	119	52	propagation	propagation	NOUN
cana-1248	119	53	dynamics	dynamic	NOUN
cana-1248	119	54	,	,	PUNCT
cana-1248	119	55	so	so	CCONJ
cana-1248	119	56	offering	offer	VERB
cana-1248	119	57	a	a	DET
cana-1248	119	58	more	more	ADV
cana-1248	119	59	complex	complex	ADJ
cana-1248	119	60	error	error	NOUN
cana-1248	119	61	measuring	measuring	NOUN
cana-1248	119	62	.	.	PUNCT
cana-1248	120	1	the	the	DET
cana-1248	120	2	term	term	NOUN
cana-1248	120	3	ˆ	ˆ	ADV
cana-1248	120	4	(	(	PUNCT
cana-1248	120	5	)	)	PUNCT
cana-1248	120	6	iy	iy	PROPN
cana-1248	120	7	t	t	PROPN
cana-1248	120	8	t	t	PROPN
cana-1248	120	9			X
cana-1248	120	10			PRON
cana-1248	120	11			ADJ
cana-1248	120	12			PROPN
cana-1248	120	13	reflects	reflect	VERB
cana-1248	120	14	the	the	DET
cana-1248	120	15	predicted	predict	VERB
cana-1248	120	16	propagation	propagation	NOUN
cana-1248	120	17	dynamics	dynamic	NOUN
cana-1248	120	18	,	,	PUNCT
cana-1248	120	19	while	while	SCONJ
cana-1248	120	20	(	(	PUNCT
cana-1248	120	21	)	)	PUNCT
cana-1248	120	22	iy	iy	PROPN
cana-1248	120	23	t	t	PROPN
cana-1248	120	24	t	t	PROPN
cana-1248	120	25			X
cana-1248	120	26			PRON
cana-1248	120	27			ADJ
cana-1248	120	28			PROPN
cana-1248	120	29	represents	represent	VERB
cana-1248	120	30	the	the	DET
cana-1248	120	31	actual	actual	ADJ
cana-1248	120	32	dynamics	dynamic	NOUN
cana-1248	120	33	.	.	PUNCT
cana-1248	121	1	the	the	DET
cana-1248	121	2	squared	square	VERB
cana-1248	121	3	difference	difference	NOUN
cana-1248	121	4	between	between	ADP
cana-1248	121	5	these	these	DET
cana-1248	121	6	terms	term	NOUN
cana-1248	121	7	catches	catch	VERB
cana-1248	121	8	the	the	DET
cana-1248	121	9	prediction	prediction	NOUN
cana-1248	121	10	error	error	NOUN
cana-1248	121	11	of	of	ADP
cana-1248	121	12	the	the	DET
cana-1248	121	13	network	network	NOUN
cana-1248	121	14	with	with	ADP
cana-1248	121	15	respect	respect	NOUN
cana-1248	121	16	to	to	ADP
cana-1248	121	17	the	the	DET
cana-1248	121	18	fractional	fractional	ADJ
cana-1248	121	19	dynamics	dynamic	NOUN
cana-1248	121	20	of	of	ADP
cana-1248	121	21	malicious	malicious	ADJ
cana-1248	121	22	node	node	ADJ
cana-1248	121	23	propagation	propagation	NOUN
cana-1248	121	24	.	.	PUNCT
cana-1248	122	1	the	the	DET
cana-1248	122	2	goal	goal	NOUN
cana-1248	122	3	function	function	NOUN
cana-1248	122	4	leads	lead	VERB
cana-1248	122	5	the	the	DET
cana-1248	122	6	ann	ann	PROPN
cana-1248	122	7	to	to	PART
cana-1248	122	8	better	well	ADV
cana-1248	122	9	match	match	VERB
cana-1248	122	10	its	its	PRON
cana-1248	122	11	predictions	prediction	NOUN
cana-1248	122	12	with	with	ADP
cana-1248	122	13	the	the	DET
cana-1248	122	14	complex	complex	ADJ
cana-1248	122	15	behavior	behavior	NOUN
cana-1248	122	16	of	of	ADP
cana-1248	122	17	malicious	malicious	ADJ
cana-1248	122	18	node	node	NOUN
cana-1248	122	19	spread	spread	VERB
cana-1248	122	20	by	by	ADP
cana-1248	122	21	penalizing	penalize	VERB
cana-1248	122	22	differences	difference	NOUN
cana-1248	122	23	more	more	ADV
cana-1248	122	24	heavily	heavily	ADV
cana-1248	122	25	when	when	SCONJ
cana-1248	122	26	predictions	prediction	NOUN
cana-1248	122	27	vary	vary	VERB
cana-1248	122	28	considerably	considerably	ADV
cana-1248	122	29	from	from	ADP
cana-1248	122	30	real	real	ADJ
cana-1248	122	31	dynamics	dynamic	NOUN
cana-1248	122	32	.	.	PUNCT
cana-1248	123	1	3.3	3.3	NUM
cana-1248	123	2	.	.	PUNCT
cana-1248	124	1	ann	ann	PROPN
cana-1248	124	2	training	training	NOUN
cana-1248	124	3	process	process	NOUN
cana-1248	124	4	for	for	ADP
cana-1248	124	5	detecting	detect	VERB
cana-1248	124	6	malicious	malicious	ADJ
cana-1248	124	7	codes	code	NOUN
cana-1248	124	8	the	the	DET
cana-1248	124	9	proposed	propose	VERB
cana-1248	124	10	ann	ann	PROPN
cana-1248	124	11	training	training	NOUN
cana-1248	124	12	method	method	NOUN
cana-1248	124	13	is	be	AUX
cana-1248	124	14	intended	intend	VERB
cana-1248	124	15	to	to	PART
cana-1248	124	16	enhance	enhance	VERB
cana-1248	124	17	the	the	DET
cana-1248	124	18	identification	identification	NOUN
cana-1248	124	19	of	of	ADP
cana-1248	124	20	dangerous	dangerous	ADJ
cana-1248	124	21	programs	program	NOUN
cana-1248	124	22	in	in	ADP
cana-1248	124	23	wireless	wireless	ADJ
cana-1248	124	24	networks	network	NOUN
cana-1248	124	25	by	by	ADP
cana-1248	124	26	use	use	NOUN
cana-1248	124	27	of	of	ADP
cana-1248	124	28	the	the	DET
cana-1248	124	29	nonlinear	nonlinear	ADJ
cana-1248	124	30	dynamics	dynamic	NOUN
cana-1248	124	31	obtained	obtain	VERB
cana-1248	124	32	via	via	ADP
cana-1248	124	33	a	a	DET
cana-1248	124	34	fractional	fractional	ADJ
cana-1248	124	35	objective	objective	ADJ
cana-1248	124	36	function	function	NOUN
cana-1248	124	37	.	.	PUNCT
cana-1248	125	1	several	several	ADJ
cana-1248	125	2	crucial	crucial	ADJ
cana-1248	125	3	phases	phase	NOUN
cana-1248	125	4	of	of	ADP
cana-1248	125	5	this	this	DET
cana-1248	125	6	process	process	NOUN
cana-1248	125	7	include	include	VERB
cana-1248	125	8	in	in	ADP
cana-1248	125	9	dataset	dataset	ADJ
cana-1248	125	10	preparation	preparation	NOUN
cana-1248	125	11	,	,	PUNCT
cana-1248	125	12	network	network	NOUN
cana-1248	125	13	architecture	architecture	NOUN
cana-1248	125	14	definition	definition	NOUN
cana-1248	125	15	,	,	PUNCT
cana-1248	125	16	training	training	NOUN
cana-1248	125	17	with	with	ADP
cana-1248	125	18	the	the	DET
cana-1248	125	19	fractional	fractional	ADJ
cana-1248	125	20	objective	objective	ADJ
cana-1248	125	21	function	function	NOUN
cana-1248	125	22	,	,	PUNCT
cana-1248	125	23	and	and	CCONJ
cana-1248	125	24	evaluation	evaluation	NOUN
cana-1248	125	25	.	.	PUNCT
cana-1248	126	1	the	the	DET
cana-1248	126	2	dataset	dataset	NOUN
cana-1248	126	3	consists	consist	VERB
cana-1248	126	4	in	in	ADP
cana-1248	126	5	network	network	NOUN
cana-1248	126	6	status	status	NOUN
cana-1248	126	7	observations	observation	NOUN
cana-1248	126	8	;	;	PUNCT
cana-1248	126	9	each	each	DET
cana-1248	126	10	data	data	NOUN
cana-1248	126	11	point	point	NOUN
cana-1248	126	12	comprises	comprise	VERB
cana-1248	126	13	characteristics	characteristic	NOUN
cana-1248	126	14	like	like	ADP
cana-1248	126	15	traffic	traffic	NOUN
cana-1248	126	16	patterns	pattern	NOUN
cana-1248	126	17	,	,	PUNCT
cana-1248	126	18	node	node	NOUN
cana-1248	126	19	behavior	behavior	NOUN
cana-1248	126	20	,	,	PUNCT
cana-1248	126	21	and	and	CCONJ
cana-1248	126	22	known	know	VERB
cana-1248	126	23	malicious	malicious	ADJ
cana-1248	126	24	activities	activity	NOUN
cana-1248	126	25	.	.	PUNCT
cana-1248	127	1	the	the	DET
cana-1248	127	2	dataset	dataset	NOUN
cana-1248	127	3	is	be	AUX
cana-1248	127	4	tagged	tag	VERB
cana-1248	127	5	to	to	PART
cana-1248	127	6	indicate	indicate	VERB
cana-1248	127	7	whether	whether	SCONJ
cana-1248	127	8	hostile	hostile	ADJ
cana-1248	127	9	codes	code	NOUN
cana-1248	127	10	exist	exist	VERB
cana-1248	127	11	at	at	ADV
cana-1248	127	12	all	all	ADV
cana-1248	127	13	.	.	PUNCT
cana-1248	128	1	for	for	ADP
cana-1248	128	2	simplicity	simplicity	NOUN
cana-1248	128	3	,	,	PUNCT
cana-1248	128	4	assume	assume	VERB
cana-1248	128	5	we	we	PRON
cana-1248	128	6	have	have	VERB
cana-1248	128	7	a	a	DET
cana-1248	128	8	dataset	dataset	NOUN
cana-1248	128	9	with	with	ADP
cana-1248	128	10	features	feature	NOUN
cana-1248	128	11	ix	ix	ADV
cana-1248	128	12	and	and	CCONJ
cana-1248	128	13	corresponding	correspond	VERB
cana-1248	128	14	labels	label	NOUN
cana-1248	128	15	yi	yi	NOUN
cana-1248	128	16	indicating	indicate	VERB
cana-1248	128	17	whether	whether	SCONJ
cana-1248	128	18	malicious	malicious	ADJ
cana-1248	128	19	activity	activity	NOUN
cana-1248	128	20	is	be	AUX
cana-1248	128	21	present	present	ADJ
cana-1248	128	22	.	.	PUNCT
cana-1248	129	1	communications	communication	NOUN
cana-1248	129	2	on	on	ADP
cana-1248	129	3	applied	apply	VERB
cana-1248	129	4	nonlinear	nonlinear	ADJ
cana-1248	129	5	analysis	analysis	NOUN
cana-1248	129	6	issn	issn	NOUN
cana-1248	129	7	:	:	PUNCT
cana-1248	129	8	1074	1074	NUM
cana-1248	129	9	-	-	PUNCT
cana-1248	129	10	133x	133x	NUM
cana-1248	129	11	vol	vol	NOUN
cana-1248	129	12	31	31	NUM
cana-1248	129	13	no	no	NOUN
cana-1248	129	14	.	.	PUNCT
cana-1248	130	1	6s	6s	NUM
cana-1248	130	2	(	(	PUNCT
cana-1248	130	3	2024	2024	NUM
cana-1248	130	4	)	)	PUNCT
cana-1248	130	5	625	625	NUM
cana-1248	130	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	130	7	table	table	NOUN
cana-1248	130	8	1	1	NUM
cana-1248	130	9	:	:	PUNCT
cana-1248	130	10	dataset	dataset	NOUN
cana-1248	130	11	samples	sample	NOUN
cana-1248	130	12	code	code	NOUN
cana-1248	131	1	i	i	PRON
cana-1248	131	2	d	d	PROPN
cana-1248	131	3	feature	feature	VERB
cana-1248	131	4	1	1	NUM
cana-1248	131	5	(	(	PUNCT
cana-1248	131	6	x1	x1	ADJ
cana-1248	131	7	)	)	PUNCT
cana-1248	131	8	feature	feature	NOUN
cana-1248	131	9	2	2	NUM
cana-1248	131	10	(	(	PUNCT
cana-1248	131	11	x2	x2	NOUN
cana-1248	131	12	)	)	PUNCT
cana-1248	131	13	feature	feature	NOUN
cana-1248	131	14	3	3	NUM
cana-1248	131	15	(	(	PUNCT
cana-1248	131	16	x3	x3	ADJ
cana-1248	131	17	)	)	PUNCT
cana-1248	131	18	malicious	malicious	ADJ
cana-1248	131	19	code	code	NOUN
cana-1248	131	20	(	(	PUNCT
cana-1248	131	21	y	y	NOUN
cana-1248	131	22	)	)	PUNCT
cana-1248	131	23	1	1	NUM
cana-1248	131	24	0.5	0.5	NUM
cana-1248	131	25	1.2	1.2	NUM
cana-1248	131	26	0.3	0.3	NUM
cana-1248	131	27	1	1	NUM
cana-1248	131	28	2	2	NUM
cana-1248	131	29	0.7	0.7	NUM
cana-1248	131	30	0.8	0.8	NUM
cana-1248	131	31	0.5	0.5	NUM
cana-1248	131	32	0	0	NUM
cana-1248	131	33	3	3	NUM
cana-1248	131	34	0.2	0.2	NUM
cana-1248	131	35	1.1	1.1	NUM
cana-1248	131	36	0.4	0.4	NUM
cana-1248	131	37	1	1	NUM
cana-1248	131	38	4	4	NUM
cana-1248	131	39	0.9	0.9	NUM
cana-1248	131	40	0.6	0.6	NUM
cana-1248	131	41	0.7	0.7	NUM
cana-1248	131	42	0	0	NUM
cana-1248	131	43	5	5	NUM
cana-1248	131	44	0.3	0.3	NUM
cana-1248	131	45	1.4	1.4	NUM
cana-1248	131	46	0.6	0.6	NUM
cana-1248	131	47	1	1	NUM
cana-1248	131	48	the	the	DET
cana-1248	131	49	ann	ann	PROPN
cana-1248	131	50	architecture	architecture	NOUN
cana-1248	131	51	for	for	ADP
cana-1248	131	52	binary	binary	ADJ
cana-1248	131	53	classification	classification	NOUN
cana-1248	131	54	comprises	comprise	NOUN
cana-1248	131	55	in	in	ADP
cana-1248	131	56	an	an	DET
cana-1248	131	57	input	input	NOUN
cana-1248	131	58	layer	layer	NOUN
cana-1248	131	59	,	,	PUNCT
cana-1248	131	60	several	several	ADJ
cana-1248	131	61	hidden	hidden	ADJ
cana-1248	131	62	layers	layer	NOUN
cana-1248	131	63	with	with	ADP
cana-1248	131	64	nonlinear	nonlinear	ADJ
cana-1248	131	65	activation	activation	NOUN
cana-1248	131	66	functions	function	NOUN
cana-1248	131	67	,	,	PUNCT
cana-1248	131	68	and	and	CCONJ
cana-1248	131	69	an	an	DET
cana-1248	131	70	output	output	NOUN
cana-1248	131	71	layer	layer	NOUN
cana-1248	131	72	in	in	ADP
cana-1248	131	73	this	this	DET
cana-1248	131	74	work	work	NOUN
cana-1248	131	75	.	.	PUNCT
cana-1248	132	1	the	the	DET
cana-1248	132	2	network	network	NOUN
cana-1248	132	3	design	design	NOUN
cana-1248	132	4	uses	use	VERB
cana-1248	132	5	this	this	DET
cana-1248	132	6	:	:	PUNCT
cana-1248	132	7	•	•	NUM
cana-1248	132	8	input	input	NOUN
cana-1248	132	9	layer	layer	NOUN
cana-1248	132	10	:	:	PUNCT
cana-1248	132	11	accepts	accept	VERB
cana-1248	132	12	features	feature	NOUN
cana-1248	132	13	x	x	X
cana-1248	132	14	.	.	PUNCT
cana-1248	133	1	•	•	NUM
cana-1248	133	2	hidden	hide	VERB
cana-1248	133	3	layers	layer	NOUN
cana-1248	133	4	:	:	PUNCT
cana-1248	133	5	multiple	multiple	ADJ
cana-1248	133	6	layers	layer	NOUN
cana-1248	133	7	with	with	ADP
cana-1248	133	8	activation	activation	NOUN
cana-1248	133	9	functions	function	NOUN
cana-1248	133	10	like	like	ADP
cana-1248	133	11	relu	relu	NOUN
cana-1248	133	12	or	or	CCONJ
cana-1248	133	13	tanh	tanh	NOUN
cana-1248	133	14	.	.	PUNCT
cana-1248	134	1	•	•	NUM
cana-1248	134	2	output	output	NOUN
cana-1248	134	3	layer	layer	NOUN
cana-1248	134	4	:	:	PUNCT
cana-1248	134	5	the	the	DET
cana-1248	134	6	estimation	estimation	NOUN
cana-1248	134	7	of	of	ADP
cana-1248	134	8	the	the	DET
cana-1248	134	9	probability	probability	NOUN
cana-1248	134	10	of	of	ADP
cana-1248	134	11	damaging	damage	VERB
cana-1248	134	12	coding	coding	NOUN
cana-1248	134	13	will	will	AUX
cana-1248	134	14	benefit	benefit	VERB
cana-1248	134	15	from	from	ADP
cana-1248	134	16	single	single	ADJ
cana-1248	134	17	neuron	neuron	NOUN
cana-1248	134	18	with	with	ADP
cana-1248	134	19	sigmoid	sigmoid	NOUN
cana-1248	134	20	activity	activity	NOUN
cana-1248	134	21	function	function	NOUN
cana-1248	134	22	.	.	PUNCT
cana-1248	135	1	the	the	DET
cana-1248	135	2	output	output	NOUN
cana-1248	135	3	of	of	ADP
cana-1248	135	4	the	the	DET
cana-1248	135	5	network	network	NOUN
cana-1248	135	6	ŷ	ŷ	NUM
cana-1248	135	7	is	be	AUX
cana-1248	135	8	given	give	VERB
cana-1248	135	9	by	by	ADP
cana-1248	135	10	:	:	PUNCT
cana-1248	135	11	(	(	PUNCT
cana-1248	135	12	)	)	PUNCT
cana-1248	135	13	(	(	PUNCT
cana-1248	135	14	)	)	PUNCT
cana-1248	135	15	(	(	PUNCT
cana-1248	135	16	2	2	NUM
cana-1248	135	17	)	)	PUNCT
cana-1248	135	18	(	(	PUNCT
cana-1248	135	19	1	1	X
cana-1248	135	20	)	)	PUNCT
cana-1248	135	21	(	(	PUNCT
cana-1248	135	22	1	1	X
cana-1248	135	23	)	)	PUNCT
cana-1248	135	24	(	(	PUNCT
cana-1248	135	25	2)ŷ	2)ŷ	NUM
cana-1248	135	26			PROPN
cana-1248	135	27	=	=	NOUN
cana-1248	135	28			VERB
cana-1248	135	29			PROPN
cana-1248	135	30	+	+	SYM
cana-1248	135	31	+	+	PROPN
cana-1248	135	32	w	w	PROPN
cana-1248	135	33	w	w	PROPN
cana-1248	135	34	x	x	PROPN
cana-1248	135	35	b	b	PROPN
cana-1248	135	36	b	b	X
cana-1248	135	37	where	where	SCONJ
cana-1248	135	38	:	:	PUNCT
cana-1248	135	39	(	(	PUNCT
cana-1248	135	40	1	1	X
cana-1248	135	41	)	)	PUNCT
cana-1248	135	42	w	w	NOUN
cana-1248	135	43	and	and	CCONJ
cana-1248	135	44	(	(	PUNCT
cana-1248	135	45	2	2	NUM
cana-1248	135	46	)	)	PUNCT
cana-1248	135	47	w	w	NOUN
cana-1248	135	48	weight	weight	NOUN
cana-1248	135	49	matrices	matrix	NOUN
cana-1248	135	50	for	for	ADP
cana-1248	135	51	the	the	DET
cana-1248	135	52	hidden	hide	VERB
cana-1248	135	53	and	and	CCONJ
cana-1248	135	54	output	output	NOUN
cana-1248	135	55	layers	layer	NOUN
cana-1248	135	56	,	,	PUNCT
cana-1248	135	57	respectively	respectively	ADV
cana-1248	135	58	.	.	PUNCT
cana-1248	136	1	(	(	PUNCT
cana-1248	136	2	1	1	X
cana-1248	136	3	)	)	PUNCT
cana-1248	136	4	b	b	NOUN
cana-1248	136	5	and	and	CCONJ
cana-1248	136	6	(	(	PUNCT
cana-1248	136	7	2	2	NUM
cana-1248	136	8	)	)	PUNCT
cana-1248	136	9	b	b	NOUN
cana-1248	136	10	are	be	AUX
cana-1248	136	11	bias	bias	NOUN
cana-1248	136	12	vectors	vector	NOUN
cana-1248	136	13	.	.	PUNCT
cana-1248	137	1	(	(	PUNCT
cana-1248	137	2	)	)	PUNCT
cana-1248	137	3			PROPN
cana-1248	137	4			ADJ
cana-1248	137	5	sigmoid	sigmoid	NOUN
cana-1248	137	6	activation	activation	NOUN
cana-1248	137	7	function	function	NOUN
cana-1248	137	8	.	.	PUNCT
cana-1248	138	1	reducing	reduce	VERB
cana-1248	138	2	the	the	DET
cana-1248	138	3	fractional	fractional	ADJ
cana-1248	138	4	objective	objective	ADJ
cana-1248	138	5	function	function	NOUN
cana-1248	138	6	l	l	NOUN
cana-1248	138	7	will	will	AUX
cana-1248	138	8	assist	assist	VERB
cana-1248	138	9	to	to	PART
cana-1248	138	10	update	update	VERB
cana-1248	138	11	the	the	DET
cana-1248	138	12	weights	weight	NOUN
cana-1248	138	13	and	and	CCONJ
cana-1248	138	14	biases	bias	NOUN
cana-1248	138	15	of	of	ADP
cana-1248	138	16	the	the	DET
cana-1248	138	17	network	network	NOUN
cana-1248	138	18	.	.	PUNCT
cana-1248	139	1	l	l	NOUN
cana-1248	139	2	is	be	AUX
cana-1248	139	3	the	the	DET
cana-1248	139	4	defined	define	VERB
cana-1248	139	5	objective	objective	ADJ
cana-1248	139	6	function	function	NOUN
cana-1248	139	7	with	with	ADP
cana-1248	139	8	the	the	DET
cana-1248	139	9	following	follow	VERB
cana-1248	139	10	definition	definition	NOUN
cana-1248	139	11	:	:	PUNCT
cana-1248	139	12	2	2	NUM
cana-1248	139	13	1	1	NUM
cana-1248	139	14	ˆ	ˆ	NOUN
cana-1248	139	15	(	(	PUNCT
cana-1248	139	16	)	)	PUNCT
cana-1248	139	17	(	(	PUNCT
cana-1248	139	18	)	)	SYM
cana-1248	139	19	1	1	NUM
cana-1248	139	20	ˆ	ˆ	PROPN
cana-1248	139	21	(	(	PUNCT
cana-1248	139	22	,	,	PUNCT
cana-1248	139	23	,	,	PUNCT
cana-1248	139	24	)	)	PUNCT
cana-1248	140	1	n	n	CCONJ
cana-1248	140	2	i	i	PRON
cana-1248	141	1	i	i	PRON
cana-1248	142	1	i	i	VERB
cana-1248	143	1	y	y	VERB
cana-1248	143	2	t	t	PROPN
cana-1248	143	3	y	y	PROPN
cana-1248	143	4	t	t	PROPN
cana-1248	143	5	l	l	NOUN
cana-1248	143	6	n	n	ADP
cana-1248	143	7	t	t	NOUN
cana-1248	143	8	t	t	NOUN
cana-1248	143	9			X
cana-1248	143	10			X
cana-1248	143	11			X
cana-1248	143	12			X
cana-1248	143	13			NUM
cana-1248	143	14	=	=	SYM
cana-1248	143	15			ADJ
cana-1248	143	16			NOUN
cana-1248	143	17	=	=	SYM
cana-1248	144	1	−	−	PROPN
cana-1248	144	2			ADJ
cana-1248	144	3			ADJ
cana-1248	144	4	y	y	NOUN
cana-1248	144	5	y	y	PROPN
cana-1248	144	6	backpropagation	backpropagation	PROPN
cana-1248	144	7	and	and	CCONJ
cana-1248	144	8	optimization	optimization	NOUN
cana-1248	144	9	techniques	technique	NOUN
cana-1248	144	10	—	—	PUNCT
cana-1248	144	11	that	that	ADV
cana-1248	144	12	is	is	ADV
cana-1248	144	13	,	,	PUNCT
cana-1248	144	14	gradient	gradient	ADJ
cana-1248	144	15	descent	descent	NOUN
cana-1248	144	16	—	—	PUNCT
cana-1248	144	17	where	where	SCONJ
cana-1248	144	18	the	the	DET
cana-1248	144	19	gradient	gradient	NOUN
cana-1248	144	20	of	of	ADP
cana-1248	144	21	l	l	NOUN
cana-1248	144	22	with	with	ADP
cana-1248	144	23	relation	relation	NOUN
cana-1248	144	24	to	to	ADP
cana-1248	144	25	the	the	DET
cana-1248	144	26	network	network	NOUN
cana-1248	144	27	parameters	parameter	NOUN
cana-1248	144	28	is	be	AUX
cana-1248	144	29	found	find	VERB
cana-1248	144	30	help	help	NOUN
cana-1248	144	31	to	to	PART
cana-1248	144	32	adjust	adjust	VERB
cana-1248	144	33	the	the	DET
cana-1248	144	34	network	network	NOUN
cana-1248	144	35	parameters	parameter	NOUN
cana-1248	144	36	during	during	ADP
cana-1248	144	37	training	training	NOUN
cana-1248	144	38	.	.	PUNCT
cana-1248	145	1	the	the	DET
cana-1248	145	2	optimization	optimization	NOUN
cana-1248	145	3	stage	stage	NOUN
cana-1248	145	4	aims	aim	VERB
cana-1248	145	5	to	to	PART
cana-1248	145	6	lower	lower	VERB
cana-1248	145	7	l	l	NOUN
cana-1248	145	8	,	,	PUNCT
cana-1248	145	9	thereby	thereby	ADV
cana-1248	145	10	improving	improve	VERB
cana-1248	145	11	the	the	DET
cana-1248	145	12	model	model	NOUN
cana-1248	145	13	's	's	PART
cana-1248	145	14	identification	identification	NOUN
cana-1248	145	15	of	of	ADP
cana-1248	145	16	hostile	hostile	ADJ
cana-1248	145	17	codes	code	NOUN
cana-1248	145	18	's	's	PART
cana-1248	145	19	accuracy	accuracy	NOUN
cana-1248	145	20	.	.	PUNCT
cana-1248	146	1	using	use	VERB
cana-1248	146	2	another	another	DET
cana-1248	146	3	test	test	NOUN
cana-1248	146	4	set	set	NOUN
cana-1248	146	5	,	,	PUNCT
cana-1248	146	6	the	the	DET
cana-1248	146	7	model	model	NOUN
cana-1248	146	8	's	's	PART
cana-1248	146	9	performance	performance	NOUN
cana-1248	146	10	is	be	AUX
cana-1248	146	11	evaluated	evaluate	VERB
cana-1248	146	12	following	follow	VERB
cana-1248	146	13	training	training	NOUN
cana-1248	146	14	.	.	PUNCT
cana-1248	147	1	pseudocode	pseudocode	PROPN
cana-1248	147	2	#	#	NOUN
cana-1248	147	3	define	define	VERB
cana-1248	147	4	fractional	fractional	ADJ
cana-1248	147	5	differential	differential	NOUN
cana-1248	147	6	equation	equation	NOUN
cana-1248	147	7	function	function	NOUN
cana-1248	147	8	fractional_differential_eqn(state	fractional_differential_eqn(state	PROPN
cana-1248	147	9	,	,	PUNCT
cana-1248	147	10	alpha	alpha	NOUN
cana-1248	147	11	):	):	PUNCT
cana-1248	147	12	communications	communication	NOUN
cana-1248	147	13	on	on	ADP
cana-1248	147	14	applied	apply	VERB
cana-1248	147	15	nonlinear	nonlinear	ADJ
cana-1248	147	16	analysis	analysis	NOUN
cana-1248	147	17	issn	issn	NOUN
cana-1248	147	18	:	:	PUNCT
cana-1248	147	19	1074	1074	NUM
cana-1248	147	20	-	-	PUNCT
cana-1248	147	21	133x	133x	NUM
cana-1248	147	22	vol	vol	NOUN
cana-1248	147	23	31	31	NUM
cana-1248	147	24	no	no	NOUN
cana-1248	147	25	.	.	PUNCT
cana-1248	148	1	6s	6s	NUM
cana-1248	148	2	(	(	PUNCT
cana-1248	148	3	2024	2024	NUM
cana-1248	148	4	)	)	PUNCT
cana-1248	148	5	626	626	NUM
cana-1248	148	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	148	7	#	#	NOUN
cana-1248	148	8	implement	implement	VERB
cana-1248	148	9	the	the	DET
cana-1248	148	10	riemann	riemann	PROPN
cana-1248	148	11	-	-	PUNCT
cana-1248	148	12	liouville	liouville	VERB
cana-1248	148	13	fractional	fractional	ADJ
cana-1248	148	14	derivative	derivative	ADJ
cana-1248	148	15	derivative	derivative	NOUN
cana-1248	148	16	=	=	SYM
cana-1248	148	17	1	1	NUM
cana-1248	148	18	/	/	SYM
cana-1248	148	19	gamma(1	gamma(1	NOUN
cana-1248	148	20	alpha	alpha	NOUN
cana-1248	148	21	)	)	PUNCT
cana-1248	149	1	*	*	PUNCT
cana-1248	150	1	d	d	X
cana-1248	150	2	/	/	SYM
cana-1248	150	3	dt	dt	X
cana-1248	150	4	*	*	PUNCT
cana-1248	150	5	integral(0	integral(0	NOUN
cana-1248	150	6	to	to	ADP
cana-1248	150	7	t	t	PROPN
cana-1248	150	8	)	)	PUNCT
cana-1248	150	9	(	(	PUNCT
cana-1248	150	10	(	(	PUNCT
cana-1248	150	11	t	t	PROPN
cana-1248	150	12	tau	tau	PROPN
cana-1248	150	13	)	)	PUNCT
cana-1248	150	14	̂	̂	PUNCT
cana-1248	150	15	-alpha	-alpha	NOUN
cana-1248	150	16	)	)	PUNCT
cana-1248	150	17	*	*	PUNCT
cana-1248	150	18	d(state(tau	d(state(tau	ADV
cana-1248	150	19	)	)	PUNCT
cana-1248	150	20	)	)	PUNCT
cana-1248	150	21	/	/	SYM
cana-1248	150	22	d(tau	d(tau	PROPN
cana-1248	150	23	)	)	PUNCT
cana-1248	150	24	d(tau	d(tau	PROPN
cana-1248	150	25	)	)	PUNCT
cana-1248	150	26	return	return	VERB
cana-1248	150	27	derivative	derivative	ADJ
cana-1248	150	28	#	#	NOUN
cana-1248	150	29	define	define	VERB
cana-1248	150	30	the	the	DET
cana-1248	150	31	nonlinear	nonlinear	ADJ
cana-1248	150	32	fractional	fractional	ADJ
cana-1248	150	33	objective	objective	ADJ
cana-1248	150	34	function	function	NOUN
cana-1248	150	35	function	function	NOUN
cana-1248	150	36	objective_function(predicted_state	objective_function(predicted_state	PROPN
cana-1248	150	37	,	,	PUNCT
cana-1248	150	38	actual_state	actual_state	PROPN
cana-1248	150	39	,	,	PUNCT
cana-1248	150	40	alpha	alpha	NOUN
cana-1248	150	41	):	):	PUNCT
cana-1248	150	42	n	n	NOUN
cana-1248	150	43	=	=	SYM
cana-1248	150	44	length(predicted_state	length(predicted_state	X
cana-1248	150	45	)	)	PUNCT
cana-1248	150	46	total_deviation	total_deviation	NOUN
cana-1248	151	1	=	=	NOUN
cana-1248	151	2	0	0	NUM
cana-1248	152	1	for	for	ADP
cana-1248	152	2	i	i	PRON
cana-1248	152	3	from	from	ADP
cana-1248	152	4	1	1	NUM
cana-1248	152	5	to	to	ADP
cana-1248	152	6	n	n	CCONJ
cana-1248	152	7	:	:	PUNCT
cana-1248	152	8	predicted_fractional_derivative	predicted_fractional_derivative	NUM
cana-1248	152	9	=	=	SYM
cana-1248	152	10	fractional_differential_eqn(predicted_state[i	fractional_differential_eqn(predicted_state[i	NOUN
cana-1248	152	11	]	]	X
cana-1248	152	12	,	,	PUNCT
cana-1248	152	13	alpha	alpha	NOUN
cana-1248	152	14	)	)	PUNCT
cana-1248	152	15	actual_fractional_derivative	actual_fractional_derivative	NUM
cana-1248	152	16	=	=	PUNCT
cana-1248	152	17	fractional_differential_eqn(actual_state[i	fractional_differential_eqn(actual_state[i	PROPN
cana-1248	152	18	]	]	PUNCT
cana-1248	152	19	,	,	PUNCT
cana-1248	152	20	alpha	alpha	NOUN
cana-1248	152	21	)	)	PUNCT
cana-1248	152	22	deviation	deviation	NOUN
cana-1248	152	23	=	=	SYM
cana-1248	152	24	abs(predicted_fractional_derivative	abs(predicted_fractional_derivative	PROPN
cana-1248	152	25	actual_fractional_derivative	actual_fractional_derivative	SYM
cana-1248	152	26	)	)	PUNCT
cana-1248	153	1	total_deviation	total_deviation	NOUN
cana-1248	153	2	+	+	NOUN
cana-1248	153	3	=	=	SYM
cana-1248	153	4	deviation	deviation	NOUN
cana-1248	153	5	^	^	SYM
cana-1248	153	6	2	2	NUM
cana-1248	153	7	return	return	VERB
cana-1248	153	8	total_deviation	total_deviation	NOUN
cana-1248	153	9	/	/	SYM
cana-1248	153	10	n	n	CCONJ
cana-1248	153	11	#	#	NOUN
cana-1248	153	12	initialize	initialize	NOUN
cana-1248	153	13	ann	ann	PROPN
cana-1248	153	14	model	model	NOUN
cana-1248	153	15	function	function	PROPN
cana-1248	153	16	initialize_ann_model(input_dim	initialize_ann_model(input_dim	PROPN
cana-1248	153	17	,	,	PUNCT
cana-1248	153	18	hidden_layers	hidden_layer	NOUN
cana-1248	153	19	,	,	PUNCT
cana-1248	153	20	output_dim	output_dim	NUM
cana-1248	153	21	):	):	PUNCT
cana-1248	153	22	#	#	NOUN
cana-1248	153	23	train	train	NOUN
cana-1248	153	24	ann	ann	PROPN
cana-1248	153	25	with	with	ADP
cana-1248	153	26	fractional	fractional	ADJ
cana-1248	153	27	objective	objective	ADJ
cana-1248	153	28	function	function	NOUN
cana-1248	153	29	function	function	NOUN
cana-1248	153	30	train_ann_with_fractional_objective(model	train_ann_with_fractional_objective(model	NOUN
cana-1248	153	31	,	,	PUNCT
cana-1248	153	32	training_data	training_data	PROPN
cana-1248	153	33	,	,	PUNCT
cana-1248	153	34	alpha	alpha	NOUN
cana-1248	153	35	,	,	PUNCT
cana-1248	153	36	num_epochs	num_epochs	NOUN
cana-1248	153	37	,	,	PUNCT
cana-1248	153	38	batch_size	batch_size	NOUN
cana-1248	153	39	):	):	PUNCT
cana-1248	153	40	for	for	ADP
cana-1248	153	41	epoch	epoch	NOUN
cana-1248	153	42	from	from	ADP
cana-1248	153	43	1	1	NUM
cana-1248	153	44	to	to	ADP
cana-1248	153	45	num_epochs	num_epochs	NOUN
cana-1248	153	46	:	:	PUNCT
cana-1248	153	47	for	for	ADP
cana-1248	153	48	data	datum	NOUN
cana-1248	153	49	in	in	ADP
cana-1248	153	50	training_data	training_data	PROPN
cana-1248	153	51	:	:	PUNCT
cana-1248	153	52	inputs	input	NOUN
cana-1248	153	53	,	,	PUNCT
cana-1248	153	54	targets	target	NOUN
cana-1248	153	55	=	=	SYM
cana-1248	153	56	data	datum	NOUN
cana-1248	153	57	#	#	NOUN
cana-1248	153	58	forward	forward	ADV
cana-1248	153	59	pass	pass	NOUN
cana-1248	153	60	predictions	prediction	NOUN
cana-1248	153	61	=	=	SYM
cana-1248	153	62	model.forward(inputs	model.forward(input	NOUN
cana-1248	153	63	)	)	PUNCT
cana-1248	153	64	#	#	NOUN
cana-1248	153	65	compute	compute	NOUN
cana-1248	153	66	fractional	fractional	ADJ
cana-1248	153	67	objective	objective	ADJ
cana-1248	153	68	function	function	NOUN
cana-1248	153	69	loss	loss	NOUN
cana-1248	153	70	=	=	SYM
cana-1248	153	71	objective_function(predictions	objective_function(prediction	NOUN
cana-1248	153	72	,	,	PUNCT
cana-1248	153	73	targets	target	NOUN
cana-1248	153	74	,	,	PUNCT
cana-1248	153	75	alpha	alpha	NOUN
cana-1248	153	76	)	)	PUNCT
cana-1248	153	77	#	#	NOUN
cana-1248	153	78	backward	backward	ADJ
cana-1248	153	79	pass	pass	NOUN
cana-1248	153	80	and	and	CCONJ
cana-1248	153	81	optimization	optimization	NOUN
cana-1248	153	82	model.optimize(loss	model.optimize(loss	PROPN
cana-1248	153	83	,	,	PUNCT
cana-1248	153	84	batch_size	batch_size	NOUN
cana-1248	153	85	)	)	PUNCT
cana-1248	153	86	return	return	NOUN
cana-1248	153	87	model	model	NOUN
cana-1248	153	88	#	#	NOUN
cana-1248	153	89	evaluate	evaluate	VERB
cana-1248	153	90	the	the	DET
cana-1248	153	91	ann	ann	PROPN
cana-1248	153	92	model	model	NOUN
cana-1248	153	93	function	function	PROPN
cana-1248	153	94	evaluate_model(model	evaluate_model(model	PROPN
cana-1248	153	95	,	,	PUNCT
cana-1248	153	96	test_data	test_data	NOUN
cana-1248	153	97	):	):	PUNCT
cana-1248	153	98	communications	communication	NOUN
cana-1248	153	99	on	on	ADP
cana-1248	153	100	applied	apply	VERB
cana-1248	153	101	nonlinear	nonlinear	ADJ
cana-1248	153	102	analysis	analysis	NOUN
cana-1248	153	103	issn	issn	NOUN
cana-1248	153	104	:	:	PUNCT
cana-1248	153	105	1074	1074	NUM
cana-1248	153	106	-	-	PUNCT
cana-1248	153	107	133x	133x	NUM
cana-1248	153	108	vol	vol	NOUN
cana-1248	153	109	31	31	NUM
cana-1248	153	110	no	no	NOUN
cana-1248	153	111	.	.	PUNCT
cana-1248	154	1	6s	6s	NUM
cana-1248	154	2	(	(	PUNCT
cana-1248	154	3	2024	2024	NUM
cana-1248	154	4	)	)	PUNCT
cana-1248	154	5	627	627	NUM
cana-1248	154	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	154	7	correct_predictions	correct_prediction	NOUN
cana-1248	154	8	=	=	SYM
cana-1248	154	9	0	0	NUM
cana-1248	154	10	total_samples	total_sample	NOUN
cana-1248	154	11	=	=	SYM
cana-1248	154	12	length(test_data	length(test_data	NOUN
cana-1248	154	13	)	)	PUNCT
cana-1248	154	14	for	for	ADP
cana-1248	154	15	data	datum	NOUN
cana-1248	154	16	in	in	ADP
cana-1248	154	17	test_data	test_data	NOUN
cana-1248	154	18	:	:	PUNCT
cana-1248	154	19	inputs	input	NOUN
cana-1248	154	20	,	,	PUNCT
cana-1248	154	21	actual_label	actual_label	PROPN
cana-1248	154	22	=	=	SYM
cana-1248	154	23	data	datum	NOUN
cana-1248	154	24	prediction	prediction	NOUN
cana-1248	154	25	=	=	SYM
cana-1248	154	26	model.predict(inputs	model.predict(input	NOUN
cana-1248	154	27	)	)	PUNCT
cana-1248	154	28	if	if	SCONJ
cana-1248	154	29	prediction	prediction	NOUN
cana-1248	154	30	=	=	NOUN
cana-1248	154	31	=	=	SYM
cana-1248	154	32	actual_label	actual_label	PROPN
cana-1248	154	33	:	:	PUNCT
cana-1248	154	34	correct_predictions	correct_prediction	NOUN
cana-1248	154	35	+	+	NOUN
cana-1248	154	36	=	=	SYM
cana-1248	154	37	1	1	NUM
cana-1248	154	38	accuracy	accuracy	NOUN
cana-1248	154	39	=	=	SYM
cana-1248	154	40	correct_predictions	correct_prediction	NOUN
cana-1248	154	41	/	/	SYM
cana-1248	154	42	total_samples	total_samples	PROPN
cana-1248	154	43	return	return	NOUN
cana-1248	154	44	accuracy	accuracy	NOUN
cana-1248	154	45	#	#	NOUN
cana-1248	154	46	main	main	ADJ
cana-1248	154	47	execution	execution	NOUN
cana-1248	154	48	alpha	alpha	NOUN
cana-1248	154	49	=	=	NOUN
cana-1248	154	50	0.5	0.5	NUM
cana-1248	154	51	#	#	NOUN
cana-1248	154	52	example	example	NOUN
cana-1248	154	53	fractional	fractional	ADJ
cana-1248	154	54	order	order	NOUN
cana-1248	154	55	input_dim	input_dim	NOUN
cana-1248	154	56	=	=	PUNCT
cana-1248	154	57	3	3	NUM
cana-1248	154	58	hidden_layers	hidden_layer	NOUN
cana-1248	154	59	=	=	PUNCT
cana-1248	155	1	[	[	X
cana-1248	155	2	10	10	NUM
cana-1248	155	3	,	,	PUNCT
cana-1248	155	4	5	5	NUM
cana-1248	155	5	]	]	PUNCT
cana-1248	155	6	output_dim	output_dim	PROPN
cana-1248	155	7	=	=	SYM
cana-1248	155	8	1	1	NUM
cana-1248	155	9	num_epochs	num_epochs	NOUN
cana-1248	155	10	=	=	SYM
cana-1248	155	11	50	50	NUM
cana-1248	155	12	batch_size	batch_size	NOUN
cana-1248	155	13	=	=	SYM
cana-1248	155	14	1	1	NUM
cana-1248	155	15	#	#	NOUN
cana-1248	155	16	load	load	NOUN
cana-1248	155	17	and	and	CCONJ
cana-1248	155	18	prepare	prepare	VERB
cana-1248	155	19	data	datum	NOUN
cana-1248	155	20	dataset	dataset	NOUN
cana-1248	155	21	=	=	PUNCT
cana-1248	155	22	load_dataset	load_dataset	PROPN
cana-1248	155	23	(	(	PUNCT
cana-1248	155	24	)	)	PUNCT
cana-1248	155	25	training_data	training_data	NOUN
cana-1248	155	26	,	,	PUNCT
cana-1248	155	27	test_data	test_data	X
cana-1248	155	28	=	=	SYM
cana-1248	155	29	split_dataset(dataset	split_dataset(dataset	VERB
cana-1248	155	30	)	)	PUNCT
cana-1248	155	31	#	#	NOUN
cana-1248	155	32	initialize	initialize	NOUN
cana-1248	155	33	and	and	CCONJ
cana-1248	155	34	train	train	NOUN
cana-1248	155	35	model	model	NOUN
cana-1248	155	36	ann_model	ann_model	NOUN
cana-1248	155	37	=	=	SYM
cana-1248	155	38	initialize_ann_model(input_dim	initialize_ann_model(input_dim	PROPN
cana-1248	155	39	,	,	PUNCT
cana-1248	155	40	hidden_layers	hidden_layer	NOUN
cana-1248	155	41	,	,	PUNCT
cana-1248	155	42	output_dim	output_dim	NUM
cana-1248	155	43	)	)	PUNCT
cana-1248	155	44	trained_model	trained_model	NOUN
cana-1248	155	45	=	=	PUNCT
cana-1248	155	46	train_ann_with_fractional_objective(ann_model	train_ann_with_fractional_objective(ann_model	NOUN
cana-1248	155	47	,	,	PUNCT
cana-1248	155	48	training_data	training_data	PROPN
cana-1248	155	49	,	,	PUNCT
cana-1248	155	50	alpha	alpha	NOUN
cana-1248	155	51	,	,	PUNCT
cana-1248	155	52	num_epochs	num_epochs	NOUN
cana-1248	155	53	,	,	PUNCT
cana-1248	155	54	batch_size	batch_size	NOUN
cana-1248	155	55	)	)	PUNCT
cana-1248	155	56	#	#	NOUN
cana-1248	155	57	evaluate	evaluate	VERB
cana-1248	155	58	model	model	NOUN
cana-1248	155	59	accuracy	accuracy	NOUN
cana-1248	155	60	=	=	SYM
cana-1248	155	61	evaluate_model(trained_model	evaluate_model(trained_model	PROPN
cana-1248	155	62	,	,	PUNCT
cana-1248	155	63	test_data	test_data	NOUN
cana-1248	155	64	)	)	PUNCT
cana-1248	155	65	4	4	NUM
cana-1248	155	66	.	.	NOUN
cana-1248	156	1	results	result	NOUN
cana-1248	156	2	and	and	CCONJ
cana-1248	156	3	discussion	discussion	NOUN
cana-1248	156	4	for	for	ADP
cana-1248	156	5	the	the	DET
cana-1248	156	6	evaluation	evaluation	NOUN
cana-1248	156	7	of	of	ADP
cana-1248	156	8	the	the	DET
cana-1248	156	9	proposed	propose	VERB
cana-1248	156	10	method	method	NOUN
cana-1248	156	11	,	,	PUNCT
cana-1248	156	12	we	we	PRON
cana-1248	156	13	simulated	simulate	VERB
cana-1248	156	14	and	and	CCONJ
cana-1248	156	15	trained	train	VERB
cana-1248	156	16	the	the	DET
cana-1248	156	17	artificial	artificial	ADJ
cana-1248	156	18	neural	neural	ADJ
cana-1248	156	19	network	network	NOUN
cana-1248	156	20	(	(	PUNCT
cana-1248	156	21	ann	ann	PROPN
cana-1248	156	22	)	)	PUNCT
cana-1248	156	23	with	with	ADP
cana-1248	156	24	tensorflow	tensorflow	NOUN
cana-1248	156	25	framework	framework	NOUN
cana-1248	156	26	.	.	PUNCT
cana-1248	157	1	having	have	VERB
cana-1248	157	2	a	a	DET
cana-1248	157	3	batch	batch	NOUN
cana-1248	157	4	size	size	NOUN
cana-1248	157	5	of	of	ADP
cana-1248	157	6	one	one	NUM
cana-1248	157	7	,	,	PUNCT
cana-1248	157	8	the	the	DET
cana-1248	157	9	training	training	NOUN
cana-1248	157	10	method	method	NOUN
cana-1248	157	11	consisted	consist	VERB
cana-1248	157	12	in	in	ADP
cana-1248	157	13	having	have	VERB
cana-1248	157	14	a	a	DET
cana-1248	157	15	dataset	dataset	NOUN
cana-1248	157	16	of	of	ADP
cana-1248	157	17	network	network	NOUN
cana-1248	157	18	traffic	traffic	NOUN
cana-1248	157	19	data	datum	NOUN
cana-1248	157	20	with	with	ADP
cana-1248	157	21	annotated	annotated	ADJ
cana-1248	157	22	cases	case	NOUN
cana-1248	157	23	of	of	ADP
cana-1248	157	24	dangerous	dangerous	ADJ
cana-1248	157	25	and	and	CCONJ
cana-1248	157	26	benign	benign	ADJ
cana-1248	157	27	behavior	behavior	NOUN
cana-1248	157	28	.	.	PUNCT
cana-1248	158	1	with	with	ADP
cana-1248	158	2	a	a	DET
cana-1248	158	3	fractional	fractional	ADJ
cana-1248	158	4	order	order	NOUN
cana-1248	158	5	α	α	NOUN
cana-1248	158	6	set	set	VERB
cana-1248	158	7	at	at	ADP
cana-1248	158	8	0.5	0.5	NUM
cana-1248	158	9	the	the	DET
cana-1248	158	10	ann	ann	PROPN
cana-1248	158	11	was	be	AUX
cana-1248	158	12	trained	train	VERB
cana-1248	158	13	throughout	throughout	ADP
cana-1248	158	14	fifty	fifty	NUM
cana-1248	158	15	epochs	epoch	NOUN
cana-1248	158	16	.	.	PUNCT
cana-1248	159	1	among	among	ADP
cana-1248	159	2	the	the	DET
cana-1248	159	3	performance	performance	NOUN
cana-1248	159	4	metrics	metric	NOUN
cana-1248	159	5	assessing	assess	VERB
cana-1248	159	6	the	the	DET
cana-1248	159	7	model	model	NOUN
cana-1248	159	8	's	's	PART
cana-1248	159	9	ability	ability	NOUN
cana-1248	159	10	to	to	PART
cana-1248	159	11	detect	detect	VERB
cana-1248	159	12	malicious	malicious	ADJ
cana-1248	159	13	behavior	behavior	NOUN
cana-1248	159	14	and	and	CCONJ
cana-1248	159	15	its	its	PRON
cana-1248	159	16	usefulness	usefulness	NOUN
cana-1248	159	17	in	in	ADP
cana-1248	159	18	communications	communication	NOUN
cana-1248	159	19	on	on	ADP
cana-1248	159	20	applied	apply	VERB
cana-1248	159	21	nonlinear	nonlinear	ADJ
cana-1248	159	22	analysis	analysis	NOUN
cana-1248	159	23	issn	issn	NOUN
cana-1248	159	24	:	:	PUNCT
cana-1248	159	25	1074	1074	NUM
cana-1248	159	26	-	-	PUNCT
cana-1248	159	27	133x	133x	NUM
cana-1248	159	28	vol	vol	NOUN
cana-1248	159	29	31	31	NUM
cana-1248	159	30	no	no	NOUN
cana-1248	159	31	.	.	PUNCT
cana-1248	160	1	6s	6s	NUM
cana-1248	160	2	(	(	PUNCT
cana-1248	160	3	2024	2024	NUM
cana-1248	160	4	)	)	PUNCT
cana-1248	160	5	628	628	NUM
cana-1248	160	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	160	7	comprehensively	comprehensively	ADV
cana-1248	160	8	lowering	lower	VERB
cana-1248	160	9	false	false	ADJ
cana-1248	160	10	positives	positive	NOUN
cana-1248	160	11	and	and	CCONJ
cana-1248	160	12	false	false	ADJ
cana-1248	160	13	negatives	negative	NOUN
cana-1248	160	14	are	be	AUX
cana-1248	160	15	accuracy	accuracy	NOUN
cana-1248	160	16	,	,	PUNCT
cana-1248	160	17	precision	precision	NOUN
cana-1248	160	18	,	,	PUNCT
cana-1248	160	19	recall	recall	NOUN
cana-1248	160	20	,	,	PUNCT
cana-1248	160	21	and	and	CCONJ
cana-1248	160	22	f1score	f1score	NOUN
cana-1248	160	23	.	.	PUNCT
cana-1248	161	1	the	the	DET
cana-1248	161	2	proposed	propose	VERB
cana-1248	161	3	method	method	NOUN
cana-1248	161	4	was	be	AUX
cana-1248	161	5	compared	compare	VERB
cana-1248	161	6	against	against	ADP
cana-1248	161	7	several	several	ADJ
cana-1248	161	8	current	current	ADJ
cana-1248	161	9	models	model	NOUN
cana-1248	161	10	:	:	PUNCT
cana-1248	161	11	fractal	fractal	ADJ
cana-1248	161	12	-	-	PUNCT
cana-1248	161	13	fractional	fractional	ADJ
cana-1248	161	14	(	(	PUNCT
cana-1248	161	15	ff	ff	NOUN
cana-1248	161	16	)	)	PUNCT
cana-1248	161	17	model	model	NOUN
cana-1248	161	18	,	,	PUNCT
cana-1248	161	19	delayed	delay	VERB
cana-1248	161	20	seirv	seirv	NOUN
cana-1248	161	21	model	model	NOUN
cana-1248	161	22	,	,	PUNCT
cana-1248	161	23	fractal	fractal	ADJ
cana-1248	161	24	fractional	fractional	ADJ
cana-1248	161	25	neural	neural	ADJ
cana-1248	161	26	networks	network	NOUN
cana-1248	161	27	model	model	NOUN
cana-1248	161	28	,	,	PUNCT
cana-1248	161	29	and	and	CCONJ
cana-1248	161	30	caputo	caputo	PROPN
cana-1248	161	31	-	-	PUNCT
cana-1248	161	32	fabrizio	fabrizio	PROPN
cana-1248	161	33	fractional	fractional	ADJ
cana-1248	161	34	seir	seir	NOUN
cana-1248	161	35	model	model	NOUN
cana-1248	161	36	.	.	PUNCT
cana-1248	162	1	the	the	DET
cana-1248	162	2	ff	ff	PROPN
cana-1248	162	3	model	model	NOUN
cana-1248	162	4	and	and	CCONJ
cana-1248	162	5	the	the	DET
cana-1248	162	6	delayed	delay	VERB
cana-1248	162	7	seirv	seirv	NOUN
cana-1248	162	8	model	model	NOUN
cana-1248	162	9	shown	show	VERB
cana-1248	162	10	poorer	poor	ADJ
cana-1248	162	11	detection	detection	NOUN
cana-1248	162	12	accuracy	accuracy	NOUN
cana-1248	162	13	and	and	CCONJ
cana-1248	162	14	higher	high	ADJ
cana-1248	162	15	false	false	ADJ
cana-1248	162	16	positive	positive	ADJ
cana-1248	162	17	rates	rate	NOUN
cana-1248	162	18	since	since	SCONJ
cana-1248	162	19	their	their	PRON
cana-1248	162	20	less	less	ADV
cana-1248	162	21	complicated	complicated	ADJ
cana-1248	162	22	treatment	treatment	NOUN
cana-1248	162	23	of	of	ADP
cana-1248	162	24	nonlinear	nonlinear	ADJ
cana-1248	162	25	dynamics	dynamic	NOUN
cana-1248	162	26	and	and	CCONJ
cana-1248	162	27	temporal	temporal	ADJ
cana-1248	162	28	delays	delay	NOUN
cana-1248	162	29	.	.	PUNCT
cana-1248	163	1	though	though	SCONJ
cana-1248	163	2	the	the	DET
cana-1248	163	3	fractal	fractal	ADJ
cana-1248	163	4	fractional	fractional	ADJ
cana-1248	163	5	neural	neural	ADJ
cana-1248	163	6	networks	network	NOUN
cana-1248	163	7	model	model	NOUN
cana-1248	163	8	displayed	display	VERB
cana-1248	163	9	competitive	competitive	ADJ
cana-1248	163	10	performance	performance	NOUN
cana-1248	163	11	,	,	PUNCT
cana-1248	163	12	it	it	PRON
cana-1248	163	13	lacked	lack	VERB
cana-1248	163	14	the	the	DET
cana-1248	163	15	capacity	capacity	NOUN
cana-1248	163	16	of	of	ADP
cana-1248	163	17	the	the	DET
cana-1248	163	18	fractional	fractional	ADJ
cana-1248	163	19	differential	differential	ADJ
cana-1248	163	20	equation	equation	NOUN
cana-1248	163	21	to	to	PART
cana-1248	163	22	sufficiently	sufficiently	ADV
cana-1248	163	23	portray	portray	VERB
cana-1248	163	24	complex	complex	ADJ
cana-1248	163	25	,	,	PUNCT
cana-1248	163	26	real	real	ADJ
cana-1248	163	27	-	-	PUNCT
cana-1248	163	28	time	time	NOUN
cana-1248	163	29	propagation	propagation	NOUN
cana-1248	163	30	dynamics	dynamic	NOUN
cana-1248	163	31	as	as	ADP
cana-1248	163	32	advised	advise	VERB
cana-1248	163	33	technique	technique	NOUN
cana-1248	163	34	.	.	PUNCT
cana-1248	164	1	the	the	DET
cana-1248	164	2	caputo	caputo	PROPN
cana-1248	164	3	-	-	PUNCT
cana-1248	164	4	fabrizio	fabrizio	PROPN
cana-1248	164	5	fractional	fractional	ADJ
cana-1248	164	6	seir	seir	NOUN
cana-1248	164	7	method	method	NOUN
cana-1248	164	8	omitted	omit	VERB
cana-1248	164	9	the	the	DET
cana-1248	164	10	specific	specific	ADJ
cana-1248	164	11	network	network	NOUN
cana-1248	164	12	dynamics	dynamic	NOUN
cana-1248	164	13	addressed	address	VERB
cana-1248	164	14	by	by	ADP
cana-1248	164	15	our	our	PRON
cana-1248	164	16	method	method	NOUN
cana-1248	164	17	.	.	PUNCT
cana-1248	165	1	table	table	NOUN
cana-1248	165	2	3	3	NUM
cana-1248	165	3	:	:	PUNCT
cana-1248	165	4	experimental	experimental	ADJ
cana-1248	165	5	setup	setup	NOUN
cana-1248	165	6	parameter	parameter	NOUN
cana-1248	165	7	value	value	NOUN
cana-1248	165	8	simulation	simulation	NOUN
cana-1248	165	9	tool	tool	NOUN
cana-1248	165	10	tensorflow	tensorflow	NOUN
cana-1248	165	11	dataset	dataset	NOUN
cana-1248	165	12	size	size	NOUN
cana-1248	165	13	10,000	10,000	NUM
cana-1248	165	14	samples	sample	NOUN
cana-1248	165	15	input	input	NOUN
cana-1248	165	16	features	feature	VERB
cana-1248	165	17	3	3	NUM
cana-1248	165	18	(	(	PUNCT
cana-1248	165	19	e.g.	e.g.	ADV
cana-1248	165	20	,	,	PUNCT
cana-1248	165	21	traffic	traffic	NOUN
cana-1248	165	22	patterns	pattern	NOUN
cana-1248	165	23	,	,	PUNCT
cana-1248	165	24	node	node	NOUN
cana-1248	165	25	behavior	behavior	NOUN
cana-1248	165	26	,	,	PUNCT
cana-1248	165	27	etc	etc	X
cana-1248	165	28	.	.	X
cana-1248	165	29	)	)	PUNCT
cana-1248	165	30	hidden	hide	VERB
cana-1248	165	31	layers	layer	NOUN
cana-1248	165	32	[	[	X
cana-1248	165	33	10	10	NUM
cana-1248	165	34	,	,	PUNCT
cana-1248	165	35	5	5	NUM
cana-1248	165	36	]	]	PUNCT
cana-1248	165	37	activation	activation	NOUN
cana-1248	165	38	function	function	NOUN
cana-1248	165	39	(	(	PUNCT
cana-1248	165	40	hidden	hide	VERB
cana-1248	165	41	layers	layer	NOUN
cana-1248	165	42	)	)	PUNCT
cana-1248	165	43	relu	relu	NOUN
cana-1248	165	44	output	output	NOUN
cana-1248	165	45	layer	layer	NOUN
cana-1248	165	46	activation	activation	NOUN
cana-1248	165	47	function	function	NOUN
cana-1248	165	48	sigmoid	sigmoid	NOUN
cana-1248	165	49	fractional	fractional	ADJ
cana-1248	165	50	order	order	NOUN
cana-1248	165	51	(	(	PUNCT
cana-1248	165	52	α	α	NOUN
cana-1248	165	53	)	)	PUNCT
cana-1248	165	54	0.5	0.5	NUM
cana-1248	165	55	batch	batch	NOUN
cana-1248	165	56	size	size	NOUN
cana-1248	165	57	1	1	NUM
cana-1248	165	58	number	number	NOUN
cana-1248	165	59	of	of	ADP
cana-1248	165	60	epochs	epoch	NOUN
cana-1248	165	61	50	50	NUM
cana-1248	165	62	learning	learning	NOUN
cana-1248	165	63	rate	rate	NOUN
cana-1248	165	64	0.001	0.001	NUM
cana-1248	165	65	optimizer	optimizer	NOUN
cana-1248	165	66	adam	adam	PROPN
cana-1248	165	67	loss	loss	PROPN
cana-1248	165	68	function	function	VERB
cana-1248	165	69	binary	binary	PROPN
cana-1248	165	70	cross	cross	PROPN
cana-1248	165	71	-	-	ADJ
cana-1248	165	72	entropy	entropy	ADJ
cana-1248	165	73	training	training	NOUN
cana-1248	165	74	data	datum	NOUN
cana-1248	165	75	split	split	VERB
cana-1248	165	76	80	80	NUM
cana-1248	165	77	%	%	NOUN
cana-1248	165	78	training	training	NOUN
cana-1248	165	79	,	,	PUNCT
cana-1248	165	80	20	20	NUM
cana-1248	165	81	%	%	NOUN
cana-1248	165	82	validation	validation	NOUN
cana-1248	165	83	4.1	4.1	NUM
cana-1248	165	84	.	.	PUNCT
cana-1248	166	1	dataset	dataset	NOUN
cana-1248	166	2	:	:	PUNCT
cana-1248	166	3	code	code	NOUN
cana-1248	166	4	-	-	PUNCT
cana-1248	166	5	red	red	NOUN
cana-1248	166	6	worms	worm	NOUN
cana-1248	166	7	the	the	DET
cana-1248	166	8	code	code	NOUN
cana-1248	166	9	-	-	PUNCT
cana-1248	166	10	red	red	ADJ
cana-1248	166	11	worms	worm	NOUN
cana-1248	166	12	dataset	dataset	VERB
cana-1248	167	1	[	[	X
cana-1248	167	2	16	16	NUM
cana-1248	167	3	]	]	PUNCT
cana-1248	167	4	provides	provide	VERB
cana-1248	167	5	comprehensive	comprehensive	ADJ
cana-1248	167	6	details	detail	NOUN
cana-1248	167	7	on	on	ADP
cana-1248	167	8	the	the	DET
cana-1248	167	9	spread	spread	NOUN
cana-1248	167	10	of	of	ADP
cana-1248	167	11	many	many	ADJ
cana-1248	167	12	code	code	NOUN
cana-1248	167	13	-	-	PUNCT
cana-1248	167	14	red	red	ADJ
cana-1248	167	15	worms	worm	NOUN
cana-1248	167	16	—	—	PUNCT
cana-1248	167	17	including	include	VERB
cana-1248	167	18	code	code	NOUN
cana-1248	167	19	-	-	PUNCT
cana-1248	167	20	red	red	NOUN
cana-1248	167	21	v2	v2	PROPN
cana-1248	167	22	and	and	CCONJ
cana-1248	167	23	code	code	NOUN
cana-1248	167	24	-	-	PUNCT
cana-1248	167	25	red	red	PROPN
cana-1248	167	26	ii	ii	PROPN
cana-1248	167	27	—	—	PUNCT
cana-1248	167	28	recorded	record	VERB
cana-1248	167	29	during	during	ADP
cana-1248	167	30	several	several	ADJ
cana-1248	167	31	outbreaks	outbreak	NOUN
cana-1248	167	32	in	in	ADP
cana-1248	167	33	2001	2001	NUM
cana-1248	167	34	.	.	PUNCT
cana-1248	168	1	emphasizing	emphasize	VERB
cana-1248	168	2	tcp	tcp	VERB
cana-1248	168	3	syn	syn	PROPN
cana-1248	168	4	scanning	scan	VERB
cana-1248	168	5	behavior	behavior	NOUN
cana-1248	168	6	on	on	ADP
cana-1248	168	7	port	port	NOUN
cana-1248	168	8	80	80	NUM
cana-1248	168	9	,	,	PUNCT
cana-1248	168	10	the	the	DET
cana-1248	168	11	dataset	dataset	NOUN
cana-1248	168	12	comprises	comprise	NOUN
cana-1248	168	13	of	of	ADP
cana-1248	168	14	summaries	summary	NOUN
cana-1248	168	15	of	of	ADP
cana-1248	168	16	network	network	NOUN
cana-1248	168	17	events	event	NOUN
cana-1248	168	18	linked	link	VERB
cana-1248	168	19	to	to	ADP
cana-1248	168	20	these	these	DET
cana-1248	168	21	worms	worm	NOUN
cana-1248	168	22	.	.	PUNCT
cana-1248	169	1	comprising	comprise	VERB
cana-1248	169	2	detailed	detailed	ADJ
cana-1248	169	3	logs	log	NOUN
cana-1248	169	4	of	of	ADP
cana-1248	169	5	network	network	NOUN
cana-1248	169	6	activity	activity	NOUN
cana-1248	169	7	and	and	CCONJ
cana-1248	169	8	compromised	compromise	VERB
cana-1248	169	9	hosts	host	NOUN
cana-1248	169	10	,	,	PUNCT
cana-1248	169	11	the	the	DET
cana-1248	169	12	data	data	NOUN
cana-1248	169	13	is	be	AUX
cana-1248	169	14	organized	organize	VERB
cana-1248	169	15	into	into	ADP
cana-1248	169	16	two	two	NUM
cana-1248	169	17	main	main	ADJ
cana-1248	169	18	files	file	NOUN
cana-1248	169	19	:	:	PUNCT
cana-1248	169	20	one	one	NUM
cana-1248	169	21	for	for	ADP
cana-1248	169	22	the	the	DET
cana-1248	169	23	july	july	PROPN
cana-1248	169	24	outbreak	outbreak	NOUN
cana-1248	169	25	and	and	CCONJ
cana-1248	169	26	one	one	NUM
cana-1248	169	27	for	for	ADP
cana-1248	169	28	the	the	DET
cana-1248	169	29	august	august	PROPN
cana-1248	169	30	outbreak	outbreak	NOUN
cana-1248	169	31	.	.	PUNCT
cana-1248	170	1	1	1	X
cana-1248	170	2	.	.	X
cana-1248	170	3	code	code	NOUN
cana-1248	170	4	-	-	PUNCT
cana-1248	170	5	red	red	PROPN
cana-1248	170	6	july	july	PROPN
cana-1248	170	7	dataset	dataset	NOUN
cana-1248	170	8	:	:	PUNCT
cana-1248	170	9	o	o	NOUN
cana-1248	170	10	table	table	NOUN
cana-1248	170	11	fields	field	NOUN
cana-1248	170	12	:	:	PUNCT
cana-1248	170	13	it	it	PRON
cana-1248	170	14	contains	contain	VERB
cana-1248	170	15	eight	eight	NUM
cana-1248	170	16	tab	tab	NOUN
cana-1248	170	17	-	-	PUNCT
cana-1248	170	18	separated	separate	VERB
cana-1248	170	19	fields	field	NOUN
cana-1248	170	20	for	for	ADP
cana-1248	170	21	each	each	DET
cana-1248	170	22	observed	observe	VERB
cana-1248	170	23	ip	ip	DET
cana-1248	170	24	address	address	NOUN
cana-1248	170	25	.	.	PUNCT
cana-1248	171	1	table	table	NOUN
cana-1248	171	2	4	4	NUM
cana-1248	171	3	:	:	PUNCT
cana-1248	171	4	fields	field	VERB
cana-1248	171	5	description	description	NOUN
cana-1248	171	6	field	field	NOUN
cana-1248	171	7	description	description	NOUN
cana-1248	171	8	start	start	VERB
cana-1248	171	9	time	time	NOUN
cana-1248	171	10	timestamp	timestamp	NOUN
cana-1248	171	11	when	when	SCONJ
cana-1248	171	12	the	the	DET
cana-1248	171	13	host	host	NOUN
cana-1248	171	14	began	begin	VERB
cana-1248	171	15	scanning	scan	VERB
cana-1248	171	16	(	(	PUNCT
cana-1248	171	17	utc	utc	PROPN
cana-1248	171	18	)	)	PUNCT
cana-1248	171	19	end	end	NOUN
cana-1248	171	20	time	time	NOUN
cana-1248	171	21	timestamp	timestamp	NOUN
cana-1248	171	22	when	when	SCONJ
cana-1248	171	23	the	the	DET
cana-1248	171	24	host	host	NOUN
cana-1248	171	25	stopped	stop	VERB
cana-1248	171	26	scanning	scan	VERB
cana-1248	171	27	(	(	PUNCT
cana-1248	171	28	utc	utc	NOUN
cana-1248	171	29	)	)	PUNCT
cana-1248	171	30	top	top	ADJ
cana-1248	171	31	-	-	PUNCT
cana-1248	171	32	level	level	NOUN
cana-1248	171	33	domain	domain	NOUN
cana-1248	171	34	domain	domain	NOUN
cana-1248	171	35	name	name	NOUN
cana-1248	171	36	of	of	ADP
cana-1248	171	37	the	the	DET
cana-1248	171	38	host	host	NOUN
cana-1248	171	39	(	(	PUNCT
cana-1248	171	40	e.g.	e.g.	ADV
cana-1248	171	41	,	,	PUNCT
cana-1248	171	42	.com	.com	PROPN
cana-1248	171	43	,	,	PUNCT
cana-1248	171	44	.org	.org	PUNCT
cana-1248	171	45	)	)	PUNCT
cana-1248	171	46	communications	communication	NOUN
cana-1248	171	47	on	on	ADP
cana-1248	171	48	applied	apply	VERB
cana-1248	171	49	nonlinear	nonlinear	ADJ
cana-1248	171	50	analysis	analysis	NOUN
cana-1248	171	51	issn	issn	NOUN
cana-1248	171	52	:	:	PUNCT
cana-1248	171	53	1074	1074	NUM
cana-1248	171	54	-	-	PUNCT
cana-1248	171	55	133x	133x	NUM
cana-1248	171	56	vol	vol	NOUN
cana-1248	171	57	31	31	NUM
cana-1248	171	58	no	no	NOUN
cana-1248	171	59	.	.	PUNCT
cana-1248	172	1	6s	6s	NUM
cana-1248	172	2	(	(	PUNCT
cana-1248	172	3	2024	2024	NUM
cana-1248	172	4	)	)	PUNCT
cana-1248	172	5	629	629	NUM
cana-1248	172	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	172	7	country	country	NOUN
cana-1248	172	8	country	country	NOUN
cana-1248	172	9	where	where	SCONJ
cana-1248	172	10	the	the	DET
cana-1248	172	11	host	host	NOUN
cana-1248	172	12	is	be	AUX
cana-1248	172	13	located	locate	VERB
cana-1248	172	14	latitude	latitude	NOUN
cana-1248	172	15	latitude	latitude	NOUN
cana-1248	172	16	of	of	ADP
cana-1248	172	17	the	the	DET
cana-1248	172	18	host	host	NOUN
cana-1248	172	19	’s	’s	PART
cana-1248	172	20	location	location	NOUN
cana-1248	172	21	longitude	longitude	NOUN
cana-1248	172	22	longitude	longitude	NOUN
cana-1248	172	23	of	of	ADP
cana-1248	172	24	the	the	DET
cana-1248	172	25	host	host	NOUN
cana-1248	172	26	’s	’s	PART
cana-1248	172	27	location	location	NOUN
cana-1248	172	28	as	as	ADP
cana-1248	172	29	number	number	NOUN
cana-1248	172	30	autonomous	autonomous	ADJ
cana-1248	172	31	system	system	NOUN
cana-1248	172	32	number	number	NOUN
cana-1248	172	33	of	of	ADP
cana-1248	172	34	the	the	DET
cana-1248	172	35	host	host	NOUN
cana-1248	172	36	as	as	ADP
cana-1248	172	37	name	name	NOUN
cana-1248	172	38	name	name	NOUN
cana-1248	172	39	of	of	ADP
cana-1248	172	40	the	the	DET
cana-1248	172	41	autonomous	autonomous	ADJ
cana-1248	172	42	system	system	NOUN
cana-1248	172	43	o	o	PROPN
cana-1248	172	44	data	datum	NOUN
cana-1248	172	45	coverage	coverage	NOUN
cana-1248	172	46	:	:	PUNCT
cana-1248	172	47	▪	▪	ADJ
cana-1248	172	48	distribution	distribution	NOUN
cana-1248	172	49	of	of	ADP
cana-1248	172	50	start	start	NOUN
cana-1248	172	51	and	and	CCONJ
cana-1248	172	52	end	end	NOUN
cana-1248	172	53	times	time	NOUN
cana-1248	172	54	:	:	PUNCT
cana-1248	172	55	shows	show	VERB
cana-1248	172	56	when	when	SCONJ
cana-1248	172	57	hosts	host	NOUN
cana-1248	172	58	were	be	AUX
cana-1248	172	59	performing	perform	VERB
cana-1248	172	60	tcp	tcp	ADP
cana-1248	172	61	syn	syn	NOUN
cana-1248	172	62	scanning	scanning	NOUN
cana-1248	172	63	.	.	PUNCT
cana-1248	173	1	▪	▪	ADJ
cana-1248	173	2	duration	duration	NOUN
cana-1248	173	3	of	of	ADP
cana-1248	173	4	scanning	scanning	NOUN
cana-1248	173	5	:	:	PUNCT
cana-1248	173	6	duration	duration	NOUN
cana-1248	173	7	for	for	ADP
cana-1248	173	8	which	which	PRON
cana-1248	173	9	each	each	DET
cana-1248	173	10	infected	infected	ADJ
cana-1248	173	11	host	host	NOUN
cana-1248	173	12	was	be	AUX
cana-1248	173	13	observed	observe	VERB
cana-1248	173	14	scanning	scanning	NOUN
cana-1248	173	15	.	.	PUNCT
cana-1248	174	1	▪	▪	ADJ
cana-1248	174	2	country	country	NOUN
cana-1248	174	3	distribution	distribution	NOUN
cana-1248	174	4	:	:	PUNCT
cana-1248	174	5	distribution	distribution	NOUN
cana-1248	174	6	of	of	ADP
cana-1248	174	7	infected	infected	ADJ
cana-1248	174	8	hosts	host	NOUN
cana-1248	174	9	by	by	ADP
cana-1248	174	10	country	country	NOUN
cana-1248	174	11	.	.	PUNCT
cana-1248	175	1	▪	▪	ADJ
cana-1248	175	2	combined	combine	VERB
cana-1248	175	3	data	data	NOUN
cana-1248	175	4	sources	source	NOUN
cana-1248	175	5	:	:	PUNCT
cana-1248	175	6	the	the	DET
cana-1248	175	7	merged	merge	VERB
cana-1248	175	8	data	datum	NOUN
cana-1248	175	9	from	from	ADP
cana-1248	175	10	ucsd	ucsd	PROPN
cana-1248	175	11	network	network	PROPN
cana-1248	175	12	telescope	telescope	PROPN
cana-1248	175	13	,	,	PUNCT
cana-1248	175	14	lbl	lbl	PROPN
cana-1248	175	15	tcp	tcp	PROPN
cana-1248	175	16	syn	syn	NOUN
cana-1248	175	17	packets	packet	NOUN
cana-1248	175	18	,	,	PUNCT
cana-1248	175	19	and	and	CCONJ
cana-1248	175	20	ucsd	ucsd	PROPN
cana-1248	175	21	netflow	netflow	PROPN
cana-1248	175	22	samples	sample	NOUN
cana-1248	175	23	.	.	PUNCT
cana-1248	176	1	2	2	X
cana-1248	176	2	.	.	X
cana-1248	176	3	code	code	NOUN
cana-1248	176	4	-	-	PUNCT
cana-1248	176	5	red	red	ADJ
cana-1248	176	6	august	august	PROPN
cana-1248	176	7	dataset	dataset	NOUN
cana-1248	176	8	:	:	PUNCT
cana-1248	176	9	o	o	NOUN
cana-1248	176	10	table	table	NOUN
cana-1248	176	11	fields	field	NOUN
cana-1248	176	12	:	:	PUNCT
cana-1248	176	13	it	it	PRON
cana-1248	176	14	contains	contain	VERB
cana-1248	176	15	seven	seven	NUM
cana-1248	176	16	tab	tab	NOUN
cana-1248	176	17	-	-	PUNCT
cana-1248	176	18	separated	separate	VERB
cana-1248	176	19	fields	field	NOUN
cana-1248	176	20	for	for	ADP
cana-1248	176	21	each	each	DET
cana-1248	176	22	observed	observe	VERB
cana-1248	176	23	ip	ip	DET
cana-1248	176	24	address	address	NOUN
cana-1248	176	25	.	.	PUNCT
cana-1248	177	1	table	table	NOUN
cana-1248	177	2	5	5	NUM
cana-1248	177	3	:	:	PUNCT
cana-1248	177	4	fields	field	VERB
cana-1248	177	5	description	description	NOUN
cana-1248	177	6	field	field	NOUN
cana-1248	177	7	description	description	NOUN
cana-1248	177	8	start	start	VERB
cana-1248	177	9	time	time	NOUN
cana-1248	177	10	timestamp	timestamp	NOUN
cana-1248	177	11	when	when	SCONJ
cana-1248	177	12	the	the	DET
cana-1248	177	13	host	host	NOUN
cana-1248	177	14	began	begin	VERB
cana-1248	177	15	scanning	scan	VERB
cana-1248	177	16	(	(	PUNCT
cana-1248	177	17	utc	utc	PROPN
cana-1248	177	18	)	)	PUNCT
cana-1248	177	19	end	end	NOUN
cana-1248	177	20	time	time	NOUN
cana-1248	177	21	timestamp	timestamp	NOUN
cana-1248	177	22	when	when	SCONJ
cana-1248	177	23	the	the	DET
cana-1248	177	24	host	host	NOUN
cana-1248	177	25	stopped	stop	VERB
cana-1248	177	26	scanning	scan	VERB
cana-1248	177	27	(	(	PUNCT
cana-1248	177	28	utc	utc	NOUN
cana-1248	177	29	)	)	PUNCT
cana-1248	177	30	top	top	ADJ
cana-1248	177	31	-	-	PUNCT
cana-1248	177	32	level	level	NOUN
cana-1248	177	33	domain	domain	NOUN
cana-1248	177	34	domain	domain	NOUN
cana-1248	177	35	name	name	NOUN
cana-1248	177	36	of	of	ADP
cana-1248	177	37	the	the	DET
cana-1248	177	38	host	host	NOUN
cana-1248	177	39	(	(	PUNCT
cana-1248	177	40	e.g.	e.g.	ADV
cana-1248	177	41	,	,	PUNCT
cana-1248	177	42	.com	.com	PROPN
cana-1248	177	43	,	,	PUNCT
cana-1248	177	44	.org	.org	ADJ
cana-1248	177	45	)	)	PUNCT
cana-1248	177	46	country	country	NOUN
cana-1248	177	47	country	country	NOUN
cana-1248	177	48	where	where	SCONJ
cana-1248	177	49	the	the	DET
cana-1248	177	50	host	host	NOUN
cana-1248	177	51	is	be	AUX
cana-1248	177	52	located	locate	VERB
cana-1248	177	53	latitude	latitude	NOUN
cana-1248	177	54	latitude	latitude	NOUN
cana-1248	177	55	of	of	ADP
cana-1248	177	56	the	the	DET
cana-1248	177	57	host	host	NOUN
cana-1248	177	58	’s	’s	PART
cana-1248	177	59	location	location	NOUN
cana-1248	177	60	longitude	longitude	NOUN
cana-1248	177	61	longitude	longitude	NOUN
cana-1248	177	62	of	of	ADP
cana-1248	177	63	the	the	DET
cana-1248	177	64	host	host	NOUN
cana-1248	177	65	’s	’s	PART
cana-1248	177	66	location	location	NOUN
cana-1248	177	67	as	as	ADP
cana-1248	177	68	number	number	NOUN
cana-1248	177	69	autonomous	autonomous	ADJ
cana-1248	177	70	system	system	NOUN
cana-1248	177	71	number	number	NOUN
cana-1248	177	72	of	of	ADP
cana-1248	177	73	the	the	DET
cana-1248	177	74	host	host	NOUN
cana-1248	177	75	o	o	NOUN
cana-1248	177	76	data	datum	NOUN
cana-1248	177	77	coverage	coverage	NOUN
cana-1248	177	78	:	:	PUNCT
cana-1248	177	79	▪	▪	ADJ
cana-1248	177	80	distribution	distribution	NOUN
cana-1248	177	81	of	of	ADP
cana-1248	177	82	start	start	NOUN
cana-1248	177	83	and	and	CCONJ
cana-1248	177	84	end	end	NOUN
cana-1248	177	85	times	time	NOUN
cana-1248	177	86	:	:	PUNCT
cana-1248	177	87	shows	show	VERB
cana-1248	177	88	when	when	SCONJ
cana-1248	177	89	hosts	host	NOUN
cana-1248	177	90	were	be	AUX
cana-1248	177	91	performing	perform	VERB
cana-1248	177	92	tcp	tcp	ADP
cana-1248	177	93	syn	syn	NOUN
cana-1248	177	94	scanning	scanning	NOUN
cana-1248	177	95	.	.	PUNCT
cana-1248	178	1	▪	▪	ADJ
cana-1248	178	2	duration	duration	NOUN
cana-1248	178	3	of	of	ADP
cana-1248	178	4	scanning	scanning	NOUN
cana-1248	178	5	:	:	PUNCT
cana-1248	178	6	duration	duration	NOUN
cana-1248	178	7	for	for	ADP
cana-1248	178	8	which	which	PRON
cana-1248	178	9	each	each	DET
cana-1248	178	10	infected	infected	ADJ
cana-1248	178	11	host	host	NOUN
cana-1248	178	12	was	be	AUX
cana-1248	178	13	observed	observe	VERB
cana-1248	178	14	scanning	scanning	NOUN
cana-1248	178	15	.	.	PUNCT
cana-1248	179	1	▪	▪	ADJ
cana-1248	179	2	country	country	NOUN
cana-1248	179	3	distribution	distribution	NOUN
cana-1248	179	4	:	:	PUNCT
cana-1248	179	5	distribution	distribution	NOUN
cana-1248	179	6	of	of	ADP
cana-1248	179	7	infected	infected	ADJ
cana-1248	179	8	hosts	host	NOUN
cana-1248	179	9	by	by	ADP
cana-1248	179	10	country	country	NOUN
cana-1248	179	11	.	.	PUNCT
cana-1248	180	1	table	table	NOUN
cana-1248	180	2	6	6	NUM
cana-1248	180	3	:	:	PUNCT
cana-1248	180	4	comparison	comparison	NOUN
cana-1248	180	5	over	over	ADP
cana-1248	180	6	various	various	ADJ
cana-1248	180	7	classes	class	NOUN
cana-1248	180	8	method	method	VERB
cana-1248	180	9	class	class	NOUN
cana-1248	180	10	accuracy	accuracy	NOUN
cana-1248	180	11	(	(	PUNCT
cana-1248	180	12	%	%	INTJ
cana-1248	180	13	)	)	PUNCT
cana-1248	180	14	precision	precision	NOUN
cana-1248	180	15	(	(	PUNCT
cana-1248	180	16	%	%	INTJ
cana-1248	180	17	)	)	PUNCT
cana-1248	180	18	recall	recall	NOUN
cana-1248	180	19	(	(	PUNCT
cana-1248	180	20	%	%	NOUN
cana-1248	180	21	)	)	PUNCT
cana-1248	181	1	f	f	X
cana-1248	181	2	-	-	PUNCT
cana-1248	181	3	measure	measure	NOUN
cana-1248	181	4	(	(	PUNCT
cana-1248	181	5	%	%	INTJ
cana-1248	181	6	)	)	PUNCT
cana-1248	181	7	fractal	fractal	ADJ
cana-1248	181	8	-	-	PUNCT
cana-1248	181	9	fractional	fractional	ADJ
cana-1248	181	10	(	(	PUNCT
cana-1248	181	11	ff	ff	NOUN
cana-1248	181	12	)	)	PUNCT
cana-1248	181	13	model	model	NOUN
cana-1248	181	14	malicious	malicious	ADJ
cana-1248	181	15	85.3	85.3	NUM
cana-1248	181	16	82.1	82.1	NUM
cana-1248	181	17	79.5	79.5	NUM
cana-1248	181	18	80.8	80.8	NUM
cana-1248	181	19	benign	benign	ADJ
cana-1248	181	20	83.9	83.9	NUM
cana-1248	181	21	85.4	85.4	NUM
cana-1248	181	22	87.2	87.2	NUM
cana-1248	181	23	86.3	86.3	NUM
cana-1248	181	24	communications	communication	NOUN
cana-1248	181	25	on	on	ADP
cana-1248	181	26	applied	apply	VERB
cana-1248	181	27	nonlinear	nonlinear	ADJ
cana-1248	181	28	analysis	analysis	NOUN
cana-1248	181	29	issn	issn	NOUN
cana-1248	181	30	:	:	PUNCT
cana-1248	181	31	1074	1074	NUM
cana-1248	181	32	-	-	PUNCT
cana-1248	181	33	133x	133x	NUM
cana-1248	181	34	vol	vol	NOUN
cana-1248	181	35	31	31	NUM
cana-1248	181	36	no	no	NOUN
cana-1248	181	37	.	.	PUNCT
cana-1248	182	1	6s	6s	NUM
cana-1248	182	2	(	(	PUNCT
cana-1248	182	3	2024	2024	NUM
cana-1248	182	4	)	)	PUNCT
cana-1248	182	5	630	630	NUM
cana-1248	182	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-1248	182	7	delayed	delay	VERB
cana-1248	182	8	seirv	seirv	NOUN
cana-1248	182	9	model	model	NOUN
cana-1248	182	10	malicious	malicious	ADJ
cana-1248	182	11	82.7	82.7	NUM
cana-1248	182	12	79.4	79.4	NUM
cana-1248	182	13	76.8	76.8	NUM
cana-1248	182	14	78.1	78.1	NUM
cana-1248	182	15	benign	benign	ADJ
cana-1248	182	16	80.2	80.2	NUM
cana-1248	182	17	82.6	82.6	NUM
cana-1248	182	18	84.4	84.4	NUM
cana-1248	182	19	83.5	83.5	NUM
cana-1248	182	20	fractal	fractal	ADJ
cana-1248	182	21	fractional	fractional	ADJ
cana-1248	182	22	neural	neural	ADJ
cana-1248	182	23	networks	network	NOUN
cana-1248	182	24	model	model	VERB
cana-1248	182	25	malicious	malicious	ADJ
cana-1248	182	26	88.1	88.1	NUM
cana-1248	182	27	85.6	85.6	NUM
cana-1248	182	28	82.3	82.3	NUM
cana-1248	182	29	83.9	83.9	NUM
cana-1248	182	30	benign	benign	ADJ
cana-1248	182	31	85.8	85.8	NUM
cana-1248	182	32	87.2	87.2	NUM
cana-1248	182	33	89.0	89.0	NUM
cana-1248	182	34	88.1	88.1	NUM
cana-1248	182	35	caputo	caputo	PROPN
cana-1248	182	36	-	-	PUNCT
cana-1248	182	37	fabrizio	fabrizio	PROPN
cana-1248	182	38	fractional	fractional	ADJ
cana-1248	182	39	seir	seir	NOUN
cana-1248	182	40	model	model	NOUN
cana-1248	182	41	malicious	malicious	ADJ
cana-1248	182	42	84.5	84.5	NUM
cana-1248	182	43	81.3	81.3	NUM
cana-1248	182	44	78.9	78.9	NUM
cana-1248	182	45	80.1	80.1	NUM
cana-1248	182	46	benign	benign	NOUN
cana-1248	182	47	82.6	82.6	NUM
cana-1248	182	48	84.8	84.8	NUM
cana-1248	182	49	85.7	85.7	NUM
cana-1248	182	50	85.2	85.2	NUM
cana-1248	182	51	proposed	propose	VERB
cana-1248	182	52	method	method	NOUN
cana-1248	182	53	malicious	malicious	ADJ
cana-1248	182	54	91.4	91.4	NUM
cana-1248	182	55	88.5	88.5	NUM
cana-1248	182	56	86.7	86.7	NUM
cana-1248	182	57	87.6	87.6	NUM
cana-1248	182	58	benign	benign	ADJ
cana-1248	182	59	89.3	89.3	NUM
cana-1248	182	60	90.1	90.1	NUM
cana-1248	182	61	91.5	91.5	NUM
cana-1248	182	62	90.8	90.8	NUM
cana-1248	182	63	as	as	ADP
cana-1248	182	64	table	table	NOUN
cana-1248	182	65	6	6	NUM
cana-1248	182	66	shows	show	NOUN
cana-1248	182	67	,	,	PUNCT
cana-1248	182	68	the	the	DET
cana-1248	182	69	proposed	propose	VERB
cana-1248	182	70	method	method	NOUN
cana-1248	182	71	outperforms	outperform	VERB
cana-1248	182	72	the	the	DET
cana-1248	182	73	existing	exist	VERB
cana-1248	182	74	models	model	NOUN
cana-1248	182	75	over	over	ADP
cana-1248	182	76	both	both	CCONJ
cana-1248	182	77	benign	benign	ADJ
cana-1248	182	78	and	and	CCONJ
cana-1248	182	79	negative	negative	ADJ
cana-1248	182	80	categories	category	NOUN
cana-1248	182	81	.	.	PUNCT
cana-1248	183	1	spotting	spot	VERB
cana-1248	183	2	malicious	malicious	ADJ
cana-1248	183	3	behavior	behavior	NOUN
cana-1248	183	4	obtains	obtain	VERB
cana-1248	183	5	the	the	DET
cana-1248	183	6	best	good	ADJ
cana-1248	183	7	accuracy	accuracy	NOUN
cana-1248	183	8	of	of	ADP
cana-1248	183	9	91.4	91.4	NUM
cana-1248	183	10	%	%	NOUN
cana-1248	183	11	when	when	SCONJ
cana-1248	183	12	compared	compare	VERB
cana-1248	183	13	to	to	ADP
cana-1248	183	14	the	the	DET
cana-1248	183	15	fractal	fractal	ADJ
cana-1248	183	16	-	-	PUNCT
cana-1248	183	17	fractional	fractional	ADJ
cana-1248	183	18	(	(	PUNCT
cana-1248	183	19	ff	ff	NOUN
cana-1248	183	20	)	)	PUNCT
cana-1248	183	21	model	model	NOUN
cana-1248	183	22	's	's	PART
cana-1248	183	23	85.3	85.3	NUM
cana-1248	183	24	%	%	NOUN
cana-1248	183	25	and	and	CCONJ
cana-1248	183	26	the	the	DET
cana-1248	183	27	delayed	delay	VERB
cana-1248	183	28	seirv	seirv	NOUN
cana-1248	183	29	model	model	NOUN
cana-1248	183	30	's	's	PART
cana-1248	183	31	82.7	82.7	NUM
cana-1248	183	32	%	%	NOUN
cana-1248	183	33	.	.	PUNCT
cana-1248	184	1	among	among	ADP
cana-1248	184	2	the	the	DET
cana-1248	184	3	models	model	NOUN
cana-1248	184	4	,	,	PUNCT
cana-1248	184	5	precision	precision	NOUN
cana-1248	184	6	for	for	ADP
cana-1248	184	7	hazardous	hazardous	ADJ
cana-1248	184	8	identification	identification	NOUN
cana-1248	184	9	is	be	AUX
cana-1248	184	10	likewise	likewise	ADV
cana-1248	184	11	greatest	great	ADJ
cana-1248	184	12	with	with	ADP
cana-1248	184	13	88.5	88.5	NUM
cana-1248	184	14	%	%	NOUN
cana-1248	184	15	;	;	PUNCT
cana-1248	184	16	fractal	fractal	ADJ
cana-1248	184	17	fractional	fractional	ADJ
cana-1248	184	18	neural	neural	ADJ
cana-1248	184	19	networks	network	NOUN
cana-1248	184	20	model	model	NOUN
cana-1248	184	21	ranks	rank	VERB
cana-1248	184	22	second	second	ADV
cana-1248	184	23	with	with	ADP
cana-1248	184	24	85.6	85.6	NUM
cana-1248	184	25	%	%	NOUN
cana-1248	184	26	.	.	PUNCT
cana-1248	185	1	this	this	PRON
cana-1248	185	2	implies	imply	VERB
cana-1248	185	3	that	that	SCONJ
cana-1248	185	4	the	the	DET
cana-1248	185	5	recommended	recommend	VERB
cana-1248	185	6	method	method	NOUN
cana-1248	185	7	is	be	AUX
cana-1248	185	8	more	more	ADV
cana-1248	185	9	exact	exact	ADJ
cana-1248	185	10	in	in	ADP
cana-1248	185	11	identifying	identify	VERB
cana-1248	185	12	real	real	ADJ
cana-1248	185	13	positives	positive	NOUN
cana-1248	185	14	—	—	PUNCT
cana-1248	185	15	malicious	malicious	ADJ
cana-1248	185	16	software	software	NOUN
cana-1248	185	17	—	—	PUNCT
cana-1248	185	18	than	than	ADP
cana-1248	185	19	in	in	ADP
cana-1248	185	20	false	false	ADJ
cana-1248	185	21	positives	positive	NOUN
cana-1248	185	22	.	.	PUNCT
cana-1248	186	1	with	with	ADP
cana-1248	186	2	82.3	82.3	NUM
cana-1248	186	3	%	%	NOUN
cana-1248	186	4	,	,	PUNCT
cana-1248	186	5	the	the	DET
cana-1248	186	6	fractal	fractal	ADJ
cana-1248	186	7	fractional	fractional	ADJ
cana-1248	186	8	neural	neural	ADJ
cana-1248	186	9	networks	network	NOUN
cana-1248	186	10	model	model	NOUN
cana-1248	186	11	is	be	AUX
cana-1248	186	12	not	not	PART
cana-1248	186	13	as	as	ADV
cana-1248	186	14	good	good	ADJ
cana-1248	186	15	as	as	ADP
cana-1248	186	16	the	the	DET
cana-1248	186	17	suggested	suggest	VERB
cana-1248	186	18	approach	approach	NOUN
cana-1248	186	19	with	with	ADP
cana-1248	186	20	86.7	86.7	NUM
cana-1248	186	21	%	%	NOUN
cana-1248	186	22	.	.	PUNCT
cana-1248	187	1	this	this	PRON
cana-1248	187	2	implies	imply	VERB
cana-1248	187	3	that	that	SCONJ
cana-1248	187	4	the	the	DET
cana-1248	187	5	recommended	recommend	VERB
cana-1248	187	6	strategy	strategy	NOUN
cana-1248	187	7	more	more	ADV
cana-1248	187	8	successfully	successfully	ADV
cana-1248	187	9	detects	detect	VERB
cana-1248	187	10	actual	actual	ADJ
cana-1248	187	11	damaging	damaging	ADJ
cana-1248	187	12	events	event	NOUN
cana-1248	187	13	.	.	PUNCT
cana-1248	188	1	stressing	stress	VERB
cana-1248	188	2	its	its	PRON
cana-1248	188	3	higher	high	ADJ
cana-1248	188	4	general	general	ADJ
cana-1248	188	5	performance	performance	NOUN
cana-1248	188	6	in	in	ADP
cana-1248	188	7	balancing	balance	VERB
cana-1248	188	8	false	false	ADJ
cana-1248	188	9	positives	positive	NOUN
cana-1248	188	10	and	and	CCONJ
cana-1248	188	11	false	false	ADJ
cana-1248	188	12	negatives	negative	NOUN
cana-1248	188	13	among	among	ADP
cana-1248	188	14	the	the	DET
cana-1248	188	15	other	other	ADJ
cana-1248	188	16	models	model	NOUN
cana-1248	188	17	,	,	PUNCT
cana-1248	188	18	the	the	DET
cana-1248	188	19	suggested	suggest	VERB
cana-1248	188	20	strategy	strategy	NOUN
cana-1248	188	21	also	also	ADV
cana-1248	188	22	shows	show	VERB
cana-1248	188	23	highest	high	ADJ
cana-1248	188	24	with	with	ADP
cana-1248	188	25	an	an	DET
cana-1248	188	26	f	f	NOUN
cana-1248	188	27	-	-	PUNCT
cana-1248	188	28	measure	measure	NOUN
cana-1248	188	29	—	—	PUNCT
cana-1248	188	30	a	a	DET
cana-1248	188	31	balance	balance	NOUN
cana-1248	188	32	between	between	ADP
cana-1248	188	33	accuracy	accuracy	NOUN
cana-1248	188	34	and	and	CCONJ
cana-1248	188	35	recall	recall	NOUN
cana-1248	188	36	—	—	PUNCT
cana-1248	188	37	at	at	ADP
cana-1248	188	38	87.6	87.6	NUM
cana-1248	188	39	%	%	NOUN
cana-1248	188	40	.	.	PUNCT
cana-1248	189	1	figure	figure	NOUN
cana-1248	189	2	2	2	NUM
cana-1248	189	3	:	:	PUNCT
cana-1248	189	4	comparison	comparison	NOUN
cana-1248	189	5	over	over	ADP
cana-1248	189	6	various	various	ADJ
cana-1248	189	7	data	datum	NOUN
cana-1248	189	8	split	split	VERB
cana-1248	189	9	in	in	ADP
cana-1248	189	10	figure	figure	NOUN
cana-1248	189	11	2–5	2–5	PROPN
cana-1248	189	12	across	across	ADP
cana-1248	189	13	all	all	DET
cana-1248	189	14	datasets	dataset	NOUN
cana-1248	189	15	(	(	PUNCT
cana-1248	189	16	training	training	NOUN
cana-1248	189	17	,	,	PUNCT
cana-1248	189	18	testing	testing	NOUN
cana-1248	189	19	,	,	PUNCT
cana-1248	189	20	and	and	CCONJ
cana-1248	189	21	validation	validation	NOUN
cana-1248	189	22	)	)	PUNCT
cana-1248	189	23	,	,	PUNCT
cana-1248	189	24	the	the	DET
cana-1248	189	25	proposed	propose	VERB
cana-1248	189	26	approach	approach	NOUN
cana-1248	189	27	exhibits	exhibit	VERB
cana-1248	189	28	greater	great	ADJ
cana-1248	189	29	performance	performance	NOUN
cana-1248	189	30	than	than	ADP
cana-1248	189	31	current	current	ADJ
cana-1248	189	32	models	model	NOUN
cana-1248	189	33	.	.	PUNCT
cana-1248	190	1	with	with	ADP
cana-1248	190	2	an	an	DET
cana-1248	190	3	accuracy	accuracy	NOUN
cana-1248	190	4	of	of	ADP
cana-1248	190	5	90.2	90.2	NUM
cana-1248	190	6	%	%	NOUN
cana-1248	190	7	,	,	PUNCT
cana-1248	190	8	it	it	PRON
cana-1248	190	9	is	be	AUX
cana-1248	190	10	much	much	ADV
cana-1248	190	11	higher	high	ADJ
cana-1248	190	12	than	than	ADP
cana-1248	190	13	the	the	DET
cana-1248	190	14	83.2	83.2	NUM
cana-1248	190	15	%	%	NOUN
cana-1248	190	16	fractal	fractal	ADJ
cana-1248	190	17	-	-	PUNCT
cana-1248	190	18	fractional	fractional	ADJ
cana-1248	190	19	(	(	PUNCT
cana-1248	190	20	ff	ff	NOUN
cana-1248	190	21	)	)	PUNCT
cana-1248	190	22	model	model	NOUN
cana-1248	190	23	and	and	CCONJ
cana-1248	190	24	80.7	80.7	NUM
cana-1248	190	25	%	%	NOUN
cana-1248	190	26	delayed	delay	VERB
cana-1248	190	27	seirv	seirv	NOUN
cana-1248	190	28	model	model	NOUN
cana-1248	190	29	.	.	PUNCT
cana-1248	191	1	with	with	ADP
cana-1248	191	2	87.4	87.4	NUM
cana-1248	191	3	%	%	NOUN
cana-1248	191	4	,	,	PUNCT
cana-1248	191	5	precision	precision	NOUN
cana-1248	191	6	is	be	AUX
cana-1248	191	7	also	also	ADV
cana-1248	191	8	highest	high	ADJ
cana-1248	191	9	and	and	CCONJ
cana-1248	191	10	suggests	suggest	VERB
cana-1248	191	11	reduced	reduce	VERB
cana-1248	191	12	false	false	ADJ
cana-1248	191	13	positives	positive	NOUN
cana-1248	191	14	in	in	ADP
cana-1248	191	15	spotting	spot	VERB
cana-1248	191	16	hostile	hostile	ADJ
cana-1248	191	17	codes	code	NOUN
cana-1248	191	18	in	in	ADP
cana-1248	191	19	training	training	NOUN
cana-1248	191	20	.	.	PUNCT
cana-1248	192	1	comparatively	comparatively	ADV
cana-1248	192	2	to	to	ADP
cana-1248	192	3	the	the	DET
cana-1248	192	4	85.8	85.8	NUM
cana-1248	192	5	%	%	NOUN
cana-1248	192	6	of	of	ADP
cana-1248	192	7	the	the	DET
cana-1248	192	8	fractal	fractal	ADJ
cana-1248	192	9	fractional	fractional	ADJ
cana-1248	192	10	neural	neural	ADJ
cana-1248	192	11	networks	network	NOUN
cana-1248	192	12	model	model	NOUN
cana-1248	192	13	,	,	PUNCT
cana-1248	192	14	the	the	DET
cana-1248	192	15	proposed	propose	VERB
cana-1248	192	16	method	method	NOUN
cana-1248	192	17	preserves	preserve	VERB
cana-1248	192	18	an	an	DET
cana-1248	192	19	accuracy	accuracy	NOUN
cana-1248	192	20	of	of	ADP
cana-1248	192	21	89.4	89.4	NUM
cana-1248	192	22	%	%	NOUN
cana-1248	192	23	in	in	ADP
cana-1248	192	24	testing	testing	NOUN
cana-1248	192	25	.	.	PUNCT
cana-1248	193	1	with	with	ADP
cana-1248	193	2	only	only	ADV
cana-1248	193	3	few	few	ADJ
cana-1248	193	4	errors	error	NOUN
cana-1248	193	5	,	,	PUNCT
cana-1248	193	6	86.1	86.1	NUM
cana-1248	193	7	%	%	NOUN
cana-1248	193	8	shows	show	VERB
cana-1248	193	9	even	even	ADV
cana-1248	193	10	more	more	ADV
cana-1248	193	11	its	its	PRON
cana-1248	193	12	ability	ability	NOUN
cana-1248	193	13	to	to	PART
cana-1248	193	14	correctly	correctly	ADV
cana-1248	193	15	identify	identify	VERB
cana-1248	193	16	dangerous	dangerous	ADJ
cana-1248	193	17	codes	code	NOUN
cana-1248	193	18	.	.	PUNCT
cana-1248	194	1	with	with	ADP
cana-1248	194	2	an	an	DET
cana-1248	194	3	accuracy	accuracy	NOUN
cana-1248	194	4	of	of	ADP
cana-1248	194	5	91.4	91.4	NUM
cana-1248	194	6	%	%	NOUN
cana-1248	194	7	,	,	PUNCT
cana-1248	194	8	the	the	DET
cana-1248	194	9	proposed	propose	VERB
cana-1248	194	10	method	method	NOUN
cana-1248	194	11	is	be	AUX
cana-1248	194	12	validation	validation	NOUN
cana-1248	194	13	-	-	PUNCT
cana-1248	194	14	wise	wise	ADJ
cana-1248	194	15	better	well	ADV
cana-1248	194	16	than	than	ADP
cana-1248	194	17	all	all	DET
cana-1248	194	18	communications	communication	NOUN
cana-1248	194	19	on	on	ADP
cana-1248	194	20	applied	apply	VERB
cana-1248	194	21	nonlinear	nonlinear	ADJ
cana-1248	194	22	analysis	analysis	NOUN
cana-1248	194	23	issn	issn	NOUN
cana-1248	194	24	:	:	PUNCT
cana-1248	194	25	1074	1074	NUM
cana-1248	194	26	-	-	PUNCT
cana-1248	194	27	133x	133x	NUM
cana-1248	194	28	vol	vol	NOUN
cana-1248	194	29	31	31	NUM
cana-1248	194	30	no	no	NOUN
cana-1248	194	31	.	.	PUNCT
cana-1248	195	1	6s	6s	NUM
cana-1248	195	2	(	(	PUNCT
cana-1248	195	3	2024	2024	NUM
cana-1248	195	4	)	)	PUNCT
cana-1248	195	5	631	631	NUM
cana-1248	196	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	196	2	present	present	ADJ
cana-1248	196	3	models	model	NOUN
cana-1248	196	4	.	.	PUNCT
cana-1248	197	1	reflecting	reflect	VERB
cana-1248	197	2	its	its	PRON
cana-1248	197	3	effectiveness	effectiveness	NOUN
cana-1248	197	4	in	in	ADP
cana-1248	197	5	recognizing	recognize	VERB
cana-1248	197	6	truly	truly	ADV
cana-1248	197	7	harmful	harmful	ADJ
cana-1248	197	8	circumstances	circumstance	NOUN
cana-1248	197	9	while	while	SCONJ
cana-1248	197	10	balancing	balance	VERB
cana-1248	197	11	precision	precision	NOUN
cana-1248	197	12	,	,	PUNCT
cana-1248	197	13	the	the	DET
cana-1248	197	14	recall	recall	NOUN
cana-1248	197	15	of	of	ADP
cana-1248	197	16	86.7	86.7	NUM
cana-1248	197	17	%	%	NOUN
cana-1248	197	18	and	and	CCONJ
cana-1248	197	19	an	an	DET
cana-1248	197	20	f	f	NOUN
cana-1248	197	21	-	-	PUNCT
cana-1248	197	22	measure	measure	NOUN
cana-1248	197	23	of	of	ADP
cana-1248	197	24	87.6	87.6	NUM
cana-1248	197	25	%	%	NOUN
cana-1248	197	26	show	show	VERB
cana-1248	197	27	their	their	PRON
cana-1248	197	28	dependability	dependability	NOUN
cana-1248	197	29	and	and	CCONJ
cana-1248	197	30	robustness	robustness	NOUN
cana-1248	197	31	in	in	ADP
cana-1248	197	32	real	real	ADJ
cana-1248	197	33	-	-	PUNCT
cana-1248	197	34	world	world	NOUN
cana-1248	197	35	scenarios	scenario	NOUN
cana-1248	197	36	.	.	PUNCT
cana-1248	198	1	these	these	DET
cana-1248	198	2	steps	step	NOUN
cana-1248	198	3	done	do	VERB
cana-1248	198	4	together	together	ADV
cana-1248	198	5	indicate	indicate	VERB
cana-1248	198	6	,	,	PUNCT
cana-1248	198	7	across	across	ADP
cana-1248	198	8	many	many	ADJ
cana-1248	198	9	data	datum	NOUN
cana-1248	198	10	sets	set	NOUN
cana-1248	198	11	,	,	PUNCT
cana-1248	198	12	how	how	SCONJ
cana-1248	198	13	well	well	ADV
cana-1248	198	14	the	the	DET
cana-1248	198	15	recommended	recommend	VERB
cana-1248	198	16	technique	technique	NOUN
cana-1248	198	17	performs	perform	VERB
cana-1248	198	18	generally	generally	ADV
cana-1248	198	19	.	.	PUNCT
cana-1248	199	1	table	table	NOUN
cana-1248	199	2	7	7	NUM
cana-1248	199	3	:	:	PUNCT
cana-1248	199	4	performance	performance	NOUN
cana-1248	199	5	over	over	ADP
cana-1248	199	6	various	various	ADJ
cana-1248	199	7	test	test	NOUN
cana-1248	199	8	cases	case	NOUN
cana-1248	199	9	method	method	VERB
cana-1248	199	10	test	test	NOUN
cana-1248	199	11	cases	case	NOUN
cana-1248	199	12	accuracy	accuracy	NOUN
cana-1248	199	13	(	(	PUNCT
cana-1248	199	14	%	%	INTJ
cana-1248	199	15	)	)	PUNCT
cana-1248	199	16	precision	precision	NOUN
cana-1248	199	17	(	(	PUNCT
cana-1248	199	18	%	%	INTJ
cana-1248	199	19	)	)	PUNCT
cana-1248	199	20	recall	recall	NOUN
cana-1248	199	21	(	(	PUNCT
cana-1248	199	22	%	%	NOUN
cana-1248	199	23	)	)	PUNCT
cana-1248	200	1	f	f	X
cana-1248	200	2	-	-	PUNCT
cana-1248	200	3	measure	measure	NOUN
cana-1248	200	4	(	(	PUNCT
cana-1248	200	5	%	%	INTJ
cana-1248	200	6	)	)	PUNCT
cana-1248	200	7	fractal	fractal	ADJ
cana-1248	200	8	-	-	PUNCT
cana-1248	200	9	fractional	fractional	ADJ
cana-1248	200	10	(	(	PUNCT
cana-1248	200	11	ff	ff	NOUN
cana-1248	200	12	)	)	PUNCT
cana-1248	200	13	model	model	NOUN
cana-1248	200	14	20	20	NUM
cana-1248	200	15	81.2	81.2	NUM
cana-1248	200	16	77.4	77.4	NUM
cana-1248	200	17	74.1	74.1	NUM
cana-1248	200	18	75.7	75.7	NUM
cana-1248	200	19	40	40	NUM
cana-1248	200	20	79.9	79.9	NUM
cana-1248	200	21	74.8	74.8	NUM
cana-1248	200	22	71.4	71.4	NUM
cana-1248	200	23	73.0	73.0	NUM
cana-1248	200	24	60	60	NUM
cana-1248	200	25	78.5	78.5	NUM
cana-1248	200	26	72.9	72.9	NUM
cana-1248	200	27	69.8	69.8	NUM
cana-1248	200	28	71.3	71.3	NUM
cana-1248	200	29	80	80	NUM
cana-1248	200	30	77.8	77.8	NUM
cana-1248	200	31	71.4	71.4	NUM
cana-1248	200	32	68.0	68.0	NUM
cana-1248	200	33	69.6	69.6	NUM
cana-1248	200	34	100	100	NUM
cana-1248	200	35	76.5	76.5	NUM
cana-1248	200	36	69.7	69.7	NUM
cana-1248	200	37	65.9	65.9	NUM
cana-1248	200	38	67.8	67.8	NUM
cana-1248	200	39	delayed	delay	VERB
cana-1248	200	40	seirv	seirv	NOUN
cana-1248	200	41	model	model	NOUN
cana-1248	200	42	20	20	NUM
cana-1248	200	43	76.5	76.5	NUM
cana-1248	200	44	72.1	72.1	NUM
cana-1248	200	45	68.7	68.7	NUM
cana-1248	200	46	70.3	70.3	NUM
cana-1248	200	47	40	40	NUM
cana-1248	200	48	74.8	74.8	NUM
cana-1248	200	49	69.4	69.4	NUM
cana-1248	200	50	65.5	65.5	NUM
cana-1248	200	51	67.3	67.3	NUM
cana-1248	200	52	60	60	NUM
cana-1248	200	53	73.2	73.2	NUM
cana-1248	200	54	67.8	67.8	NUM
cana-1248	200	55	63.2	63.2	NUM
cana-1248	200	56	65.4	65.4	NUM
cana-1248	200	57	80	80	NUM
cana-1248	200	58	71.9	71.9	NUM
cana-1248	200	59	65.2	65.2	NUM
cana-1248	200	60	60.8	60.8	NUM
cana-1248	200	61	62.9	62.9	NUM
cana-1248	200	62	100	100	NUM
cana-1248	200	63	70.4	70.4	NUM
cana-1248	200	64	63.5	63.5	NUM
cana-1248	200	65	58.9	58.9	NUM
cana-1248	200	66	61.1	61.1	NUM
cana-1248	200	67	fractal	fractal	ADJ
cana-1248	200	68	fractional	fractional	ADJ
cana-1248	200	69	neural	neural	ADJ
cana-1248	200	70	networks	network	NOUN
cana-1248	200	71	model	model	VERB
cana-1248	200	72	20	20	NUM
cana-1248	200	73	85.4	85.4	NUM
cana-1248	200	74	81.9	81.9	NUM
cana-1248	200	75	78.3	78.3	NUM
cana-1248	200	76	79.9	79.9	NUM
cana-1248	200	77	40	40	NUM
cana-1248	200	78	84.2	84.2	NUM
cana-1248	200	79	80.5	80.5	NUM
cana-1248	200	80	76.7	76.7	NUM
cana-1248	200	81	78.5	78.5	NUM
cana-1248	200	82	60	60	NUM
cana-1248	200	83	83.6	83.6	NUM
cana-1248	200	84	79.8	79.8	NUM
cana-1248	200	85	75.9	75.9	NUM
cana-1248	200	86	77.8	77.8	NUM
cana-1248	200	87	80	80	NUM
cana-1248	200	88	82.8	82.8	NUM
cana-1248	200	89	78.7	78.7	NUM
cana-1248	200	90	73.8	73.8	NUM
cana-1248	200	91	76.1	76.1	NUM
cana-1248	200	92	100	100	NUM
cana-1248	200	93	81.5	81.5	NUM
cana-1248	200	94	77.4	77.4	NUM
cana-1248	200	95	71.4	71.4	NUM
cana-1248	200	96	73.4	73.4	NUM
cana-1248	200	97	caputo	caputo	PROPN
cana-1248	200	98	-	-	PUNCT
cana-1248	200	99	fabrizio	fabrizio	PROPN
cana-1248	200	100	fractional	fractional	ADJ
cana-1248	200	101	seir	seir	NOUN
cana-1248	200	102	model	model	NOUN
cana-1248	200	103	20	20	NUM
cana-1248	200	104	80.3	80.3	NUM
cana-1248	200	105	76.4	76.4	NUM
cana-1248	200	106	72.9	72.9	NUM
cana-1248	200	107	74.6	74.6	NUM
cana-1248	200	108	40	40	NUM
cana-1248	200	109	78.6	78.6	NUM
cana-1248	200	110	74.5	74.5	NUM
cana-1248	200	111	70.4	70.4	NUM
cana-1248	200	112	72.4	72.4	NUM
cana-1248	200	113	60	60	NUM
cana-1248	200	114	77.1	77.1	NUM
cana-1248	200	115	72.3	72.3	NUM
cana-1248	200	116	68.1	68.1	NUM
cana-1248	200	117	70.1	70.1	NUM
cana-1248	200	118	80	80	NUM
cana-1248	200	119	75.8	75.8	NUM
cana-1248	200	120	70.2	70.2	NUM
cana-1248	200	121	65.7	65.7	NUM
cana-1248	200	122	67.9	67.9	NUM
cana-1248	200	123	100	100	NUM
cana-1248	200	124	74.5	74.5	NUM
cana-1248	200	125	68.4	68.4	NUM
cana-1248	200	126	63.5	63.5	NUM
cana-1248	200	127	65.9	65.9	NUM
cana-1248	200	128	proposed	propose	VERB
cana-1248	200	129	method	method	NOUN
cana-1248	200	130	20	20	NUM
cana-1248	200	131	90.1	90.1	NUM
cana-1248	200	132	87.3	87.3	NUM
cana-1248	200	133	85.2	85.2	NUM
cana-1248	200	134	86.2	86.2	NUM
cana-1248	200	135	40	40	NUM
cana-1248	200	136	89.7	89.7	NUM
cana-1248	200	137	86.9	86.9	NUM
cana-1248	200	138	84.6	84.6	NUM
cana-1248	200	139	85.7	85.7	NUM
cana-1248	200	140	60	60	NUM
cana-1248	200	141	89.1	89.1	NUM
cana-1248	200	142	86.3	86.3	NUM
cana-1248	200	143	83.8	83.8	NUM
cana-1248	200	144	85.0	85.0	NUM
cana-1248	200	145	80	80	NUM
cana-1248	200	146	88.6	88.6	NUM
cana-1248	200	147	85.7	85.7	NUM
cana-1248	200	148	82.9	82.9	NUM
cana-1248	200	149	84.3	84.3	NUM
cana-1248	200	150	100	100	NUM
cana-1248	200	151	87.9	87.9	NUM
cana-1248	200	152	84.5	84.5	NUM
cana-1248	200	153	81.7	81.7	NUM
cana-1248	200	154	83.1	83.1	NUM
cana-1248	200	155	table	table	NOUN
cana-1248	200	156	7	7	NUM
cana-1248	200	157	shows	show	VERB
cana-1248	200	158	that	that	SCONJ
cana-1248	200	159	the	the	DET
cana-1248	200	160	proposed	propose	VERB
cana-1248	200	161	method	method	NOUN
cana-1248	200	162	routinely	routinely	ADV
cana-1248	200	163	outperforms	outperform	VERB
cana-1248	200	164	current	current	ADJ
cana-1248	200	165	models	model	NOUN
cana-1248	200	166	over	over	ADP
cana-1248	200	167	multiple	multiple	ADJ
cana-1248	200	168	test	test	NOUN
cana-1248	200	169	case	case	NOUN
cana-1248	200	170	sizes	size	NOUN
cana-1248	200	171	.	.	PUNCT
cana-1248	201	1	with	with	ADP
cana-1248	201	2	an	an	DET
cana-1248	201	3	accuracy	accuracy	NOUN
cana-1248	201	4	of	of	ADP
cana-1248	201	5	90.1	90.1	NUM
cana-1248	201	6	%	%	NOUN
cana-1248	201	7	,	,	PUNCT
cana-1248	201	8	the	the	DET
cana-1248	201	9	suggested	suggest	VERB
cana-1248	201	10	approach	approach	NOUN
cana-1248	201	11	well	well	ADV
cana-1248	201	12	exceeds	exceed	VERB
cana-1248	201	13	the	the	DET
cana-1248	201	14	76.5	76.5	NUM
cana-1248	201	15	%	%	NOUN
cana-1248	201	16	of	of	ADP
cana-1248	201	17	the	the	DET
cana-1248	201	18	delayed	delay	VERB
cana-1248	201	19	seirv	seirv	NOUN
cana-1248	201	20	model	model	NOUN
cana-1248	201	21	and	and	CCONJ
cana-1248	201	22	the	the	DET
cana-1248	201	23	81.2	81.2	NUM
cana-1248	201	24	%	%	NOUN
cana-1248	201	25	of	of	ADP
cana-1248	201	26	the	the	DET
cana-1248	201	27	fractal	fractal	ADJ
cana-1248	201	28	-	-	PUNCT
cana-1248	201	29	fractional	fractional	ADJ
cana-1248	201	30	(	(	PUNCT
cana-1248	201	31	ff	ff	NOUN
cana-1248	201	32	)	)	PUNCT
cana-1248	201	33	model	model	NOUN
cana-1248	201	34	.	.	PUNCT
cana-1248	202	1	twenty	twenty	NUM
cana-1248	202	2	test	test	NOUN
cana-1248	202	3	cases	case	NOUN
cana-1248	202	4	in	in	ADP
cana-1248	202	5	total	total	NOUN
cana-1248	202	6	.	.	PUNCT
cana-1248	203	1	this	this	DET
cana-1248	203	2	trend	trend	NOUN
cana-1248	203	3	continues	continue	VERB
cana-1248	203	4	as	as	SCONJ
cana-1248	203	5	the	the	DET
cana-1248	203	6	suggested	suggest	VERB
cana-1248	203	7	method	method	NOUN
cana-1248	203	8	sustains	sustain	VERB
cana-1248	203	9	optimum	optimum	ADJ
cana-1248	203	10	performance	performance	NOUN
cana-1248	203	11	in	in	ADP
cana-1248	203	12	accuracy	accuracy	NOUN
cana-1248	203	13	,	,	PUNCT
cana-1248	203	14	precision	precision	NOUN
cana-1248	203	15	,	,	PUNCT
cana-1248	203	16	recall	recall	NOUN
cana-1248	203	17	,	,	PUNCT
cana-1248	203	18	and	and	CCONJ
cana-1248	203	19	f	f	X
cana-1248	203	20	-	-	PUNCT
cana-1248	203	21	measure	measure	NOUN
cana-1248	203	22	as	as	ADP
cana-1248	203	23	the	the	DET
cana-1248	203	24	number	number	NOUN
cana-1248	203	25	of	of	ADP
cana-1248	203	26	test	test	NOUN
cana-1248	203	27	cases	case	NOUN
cana-1248	203	28	increases	increase	NOUN
cana-1248	203	29	.	.	PUNCT
cana-1248	204	1	particularly	particularly	ADV
cana-1248	204	2	,	,	PUNCT
cana-1248	204	3	precision	precision	NOUN
cana-1248	204	4	for	for	ADP
cana-1248	204	5	the	the	DET
cana-1248	204	6	proposed	propose	VERB
cana-1248	204	7	method	method	NOUN
cana-1248	204	8	remains	remain	VERB
cana-1248	204	9	high	high	ADJ
cana-1248	204	10	,	,	PUNCT
cana-1248	204	11	starting	start	VERB
cana-1248	204	12	at	at	ADP
cana-1248	204	13	87.3	87.3	NUM
cana-1248	204	14	%	%	NOUN
cana-1248	204	15	for	for	ADP
cana-1248	204	16	20	20	NUM
cana-1248	204	17	cases	case	NOUN
cana-1248	204	18	and	and	CCONJ
cana-1248	204	19	falling	fall	VERB
cana-1248	204	20	significantly	significantly	ADV
cana-1248	204	21	to	to	ADP
cana-1248	204	22	84.5	84.5	NUM
cana-1248	204	23	%	%	NOUN
cana-1248	204	24	at	at	ADP
cana-1248	204	25	100	100	NUM
cana-1248	204	26	cases	case	NOUN
cana-1248	204	27	,	,	PUNCT
cana-1248	204	28	so	so	ADV
cana-1248	204	29	proving	prove	VERB
cana-1248	204	30	a	a	DET
cana-1248	204	31	continuous	continuous	ADJ
cana-1248	204	32	capacity	capacity	NOUN
cana-1248	204	33	to	to	PART
cana-1248	204	34	precisely	precisely	ADV
cana-1248	204	35	identify	identify	VERB
cana-1248	204	36	detrimental	detrimental	ADJ
cana-1248	204	37	events	event	NOUN
cana-1248	204	38	.	.	PUNCT
cana-1248	205	1	starting	start	VERB
cana-1248	205	2	at	at	ADP
cana-1248	205	3	85.2	85.2	NUM
cana-1248	205	4	%	%	NOUN
cana-1248	205	5	and	and	CCONJ
cana-1248	205	6	falling	fall	VERB
cana-1248	205	7	to	to	ADP
cana-1248	205	8	81.7	81.7	NUM
cana-1248	205	9	%	%	NOUN
cana-1248	205	10	,	,	PUNCT
cana-1248	205	11	communications	communication	NOUN
cana-1248	205	12	on	on	ADP
cana-1248	205	13	applied	apply	VERB
cana-1248	205	14	nonlinear	nonlinear	ADJ
cana-1248	205	15	analysis	analysis	NOUN
cana-1248	205	16	issn	issn	NOUN
cana-1248	205	17	:	:	PUNCT
cana-1248	205	18	1074	1074	NUM
cana-1248	205	19	-	-	PUNCT
cana-1248	205	20	133x	133x	NUM
cana-1248	205	21	vol	vol	NOUN
cana-1248	205	22	31	31	NUM
cana-1248	205	23	no	no	NOUN
cana-1248	205	24	.	.	PUNCT
cana-1248	206	1	6s	6s	NUM
cana-1248	206	2	(	(	PUNCT
cana-1248	206	3	2024	2024	NUM
cana-1248	206	4	)	)	PUNCT
cana-1248	206	5	632	632	NUM
cana-1248	206	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	206	7	recall	recall	NOUN
cana-1248	206	8	is	be	AUX
cana-1248	206	9	also	also	ADV
cana-1248	206	10	strong	strong	ADJ
cana-1248	206	11	and	and	CCONJ
cana-1248	206	12	indicates	indicate	VERB
cana-1248	206	13	the	the	DET
cana-1248	206	14	dependability	dependability	NOUN
cana-1248	206	15	of	of	ADP
cana-1248	206	16	the	the	DET
cana-1248	206	17	approach	approach	NOUN
cana-1248	206	18	in	in	ADP
cana-1248	206	19	spotting	spot	VERB
cana-1248	206	20	actual	actual	ADJ
cana-1248	206	21	hazardous	hazardous	ADJ
cana-1248	206	22	codes	code	NOUN
cana-1248	206	23	across	across	ADP
cana-1248	206	24	increasing	increase	VERB
cana-1248	206	25	test	test	NOUN
cana-1248	206	26	case	case	NOUN
cana-1248	206	27	sizes	size	NOUN
cana-1248	206	28	.	.	PUNCT
cana-1248	207	1	showing	show	VERB
cana-1248	207	2	its	its	PRON
cana-1248	207	3	general	general	ADJ
cana-1248	207	4	efficacy	efficacy	NOUN
cana-1248	207	5	and	and	CCONJ
cana-1248	207	6	resilience	resilience	NOUN
cana-1248	207	7	against	against	ADP
cana-1248	207	8	the	the	DET
cana-1248	207	9	other	other	ADJ
cana-1248	207	10	approaches	approach	NOUN
cana-1248	207	11	,	,	PUNCT
cana-1248	207	12	the	the	DET
cana-1248	207	13	f	f	NOUN
cana-1248	207	14	-	-	PUNCT
cana-1248	207	15	measure	measure	NOUN
cana-1248	207	16	—	—	PUNCT
cana-1248	207	17	which	which	PRON
cana-1248	207	18	balances	balance	VERB
cana-1248	207	19	precision	precision	NOUN
cana-1248	207	20	and	and	CCONJ
cana-1248	207	21	recall	recall	NOUN
cana-1248	207	22	—	—	PUNCT
cana-1248	207	23	also	also	ADV
cana-1248	207	24	remained	remain	VERB
cana-1248	207	25	the	the	DET
cana-1248	207	26	highest	high	ADJ
cana-1248	207	27	for	for	ADP
cana-1248	207	28	the	the	DET
cana-1248	207	29	recommended	recommend	VERB
cana-1248	207	30	approach	approach	NOUN
cana-1248	207	31	with	with	ADP
cana-1248	207	32	results	result	NOUN
cana-1248	207	33	ranging	range	VERB
cana-1248	207	34	from	from	ADP
cana-1248	207	35	86.2	86.2	NUM
cana-1248	207	36	%	%	NOUN
cana-1248	207	37	to	to	ADP
cana-1248	207	38	83.1	83.1	NUM
cana-1248	207	39	%	%	NOUN
cana-1248	207	40	.	.	PUNCT
cana-1248	208	1	5	5	X
cana-1248	208	2	.	.	X
cana-1248	208	3	conclusion	conclusion	NOUN
cana-1248	208	4	under	under	ADP
cana-1248	208	5	several	several	ADJ
cana-1248	208	6	test	test	NOUN
cana-1248	208	7	conditions	condition	NOUN
cana-1248	208	8	,	,	PUNCT
cana-1248	208	9	the	the	DET
cana-1248	208	10	proposed	propose	VERB
cana-1248	208	11	method	method	NOUN
cana-1248	208	12	performs	perform	VERB
cana-1248	208	13	better	well	ADJ
cana-1248	208	14	than	than	ADP
cana-1248	208	15	existing	exist	VERB
cana-1248	208	16	methods	method	NOUN
cana-1248	208	17	in	in	ADP
cana-1248	208	18	the	the	DET
cana-1248	208	19	identification	identification	NOUN
cana-1248	208	20	of	of	ADP
cana-1248	208	21	malicious	malicious	ADJ
cana-1248	208	22	code	code	NOUN
cana-1248	208	23	.	.	PUNCT
cana-1248	209	1	the	the	DET
cana-1248	209	2	proposed	propose	VERB
cana-1248	209	3	method	method	NOUN
cana-1248	209	4	frequently	frequently	ADV
cana-1248	209	5	generates	generate	VERB
cana-1248	209	6	higher	high	ADJ
cana-1248	209	7	accuracy	accuracy	NOUN
cana-1248	209	8	,	,	PUNCT
cana-1248	209	9	precision	precision	NOUN
cana-1248	209	10	,	,	PUNCT
cana-1248	209	11	recall	recall	NOUN
cana-1248	209	12	,	,	PUNCT
cana-1248	209	13	and	and	CCONJ
cana-1248	209	14	f	f	X
cana-1248	209	15	-	-	PUNCT
cana-1248	209	16	measure	measure	NOUN
cana-1248	209	17	according	accord	VERB
cana-1248	209	18	to	to	ADP
cana-1248	209	19	evaluations	evaluation	NOUN
cana-1248	209	20	over	over	ADP
cana-1248	209	21	various	various	ADJ
cana-1248	209	22	datasets	dataset	NOUN
cana-1248	209	23	spanning	span	VERB
cana-1248	209	24	training	training	NOUN
cana-1248	209	25	,	,	PUNCT
cana-1248	209	26	testing	testing	NOUN
cana-1248	209	27	,	,	PUNCT
cana-1248	209	28	and	and	CCONJ
cana-1248	209	29	validation	validation	NOUN
cana-1248	209	30	phases	phase	NOUN
cana-1248	209	31	.	.	PUNCT
cana-1248	210	1	the	the	DET
cana-1248	210	2	proposed	propose	VERB
cana-1248	210	3	method	method	NOUN
cana-1248	210	4	performs	perform	VERB
cana-1248	210	5	with	with	ADP
cana-1248	210	6	an	an	DET
cana-1248	210	7	accuracy	accuracy	NOUN
cana-1248	210	8	of	of	ADP
cana-1248	210	9	up	up	ADP
cana-1248	210	10	to	to	PART
cana-1248	210	11	91.4	91.4	NUM
cana-1248	210	12	%	%	NOUN
cana-1248	210	13	and	and	CCONJ
cana-1248	210	14	maintains	maintain	VERB
cana-1248	210	15	high	high	ADJ
cana-1248	210	16	precision	precision	NOUN
cana-1248	210	17	(	(	PUNCT
cana-1248	210	18	88.5	88.5	NUM
cana-1248	210	19	%	%	NOUN
cana-1248	210	20	)	)	PUNCT
cana-1248	210	21	,	,	PUNCT
cana-1248	210	22	and	and	CCONJ
cana-1248	210	23	recall	recall	NOUN
cana-1248	210	24	(	(	PUNCT
cana-1248	210	25	86.7	86.7	NUM
cana-1248	210	26	%	%	NOUN
cana-1248	210	27	)	)	PUNCT
cana-1248	210	28	,	,	PUNCT
cana-1248	210	29	in	in	ADP
cana-1248	210	30	a	a	DET
cana-1248	210	31	complete	complete	ADJ
cana-1248	210	32	comparison	comparison	NOUN
cana-1248	210	33	with	with	ADP
cana-1248	210	34	the	the	DET
cana-1248	210	35	fractalfractional	fractalfractional	ADJ
cana-1248	210	36	(	(	PUNCT
cana-1248	210	37	ff	ff	NOUN
cana-1248	210	38	)	)	PUNCT
cana-1248	210	39	model	model	NOUN
cana-1248	210	40	,	,	PUNCT
cana-1248	210	41	delayed	delay	VERB
cana-1248	210	42	seirv	seirv	NOUN
cana-1248	210	43	model	model	NOUN
cana-1248	210	44	,	,	PUNCT
cana-1248	210	45	fractal	fractal	ADJ
cana-1248	210	46	fractional	fractional	ADJ
cana-1248	210	47	neural	neural	ADJ
cana-1248	210	48	networks	network	NOUN
cana-1248	210	49	model	model	NOUN
cana-1248	210	50	,	,	PUNCT
cana-1248	210	51	and	and	CCONJ
cana-1248	210	52	caputo	caputo	PROPN
cana-1248	210	53	-	-	PUNCT
cana-1248	210	54	fabrizio	fabrizio	PROPN
cana-1248	210	55	fractional	fractional	ADJ
cana-1248	210	56	seir	seir	NOUN
cana-1248	210	57	model	model	NOUN
cana-1248	210	58	.	.	PUNCT
cana-1248	211	1	strong	strong	ADJ
cana-1248	211	2	performance	performance	NOUN
cana-1248	211	3	throughout	throughout	ADP
cana-1248	211	4	multiple	multiple	ADJ
cana-1248	211	5	test	test	NOUN
cana-1248	211	6	sizes	size	NOUN
cana-1248	211	7	reveals	reveal	VERB
cana-1248	211	8	that	that	SCONJ
cana-1248	211	9	the	the	DET
cana-1248	211	10	proposed	propose	VERB
cana-1248	211	11	method	method	NOUN
cana-1248	211	12	may	may	AUX
cana-1248	211	13	effectively	effectively	ADV
cana-1248	211	14	control	control	VERB
cana-1248	211	15	large	large	ADJ
cana-1248	211	16	test	test	NOUN
cana-1248	211	17	cases	case	NOUN
cana-1248	211	18	with	with	ADP
cana-1248	211	19	minimum	minimum	ADJ
cana-1248	211	20	fluctuations	fluctuation	NOUN
cana-1248	211	21	in	in	ADP
cana-1248	211	22	significant	significant	ADJ
cana-1248	211	23	criteria	criterion	NOUN
cana-1248	211	24	as	as	ADP
cana-1248	211	25	precision	precision	NOUN
cana-1248	211	26	and	and	CCONJ
cana-1248	211	27	recall	recall	NOUN
cana-1248	211	28	.	.	PUNCT
cana-1248	212	1	this	this	DET
cana-1248	212	2	dependability	dependability	NOUN
cana-1248	212	3	highlights	highlight	NOUN
cana-1248	212	4	in	in	ADP
cana-1248	212	5	practical	practical	ADJ
cana-1248	212	6	contexts	context	NOUN
cana-1248	212	7	the	the	DET
cana-1248	212	8	dependability	dependability	NOUN
cana-1248	212	9	of	of	ADP
cana-1248	212	10	the	the	DET
cana-1248	212	11	method	method	NOUN
cana-1248	212	12	.	.	PUNCT
cana-1248	213	1	furthermore	furthermore	ADV
cana-1248	213	2	,	,	PUNCT
cana-1248	213	3	the	the	DET
cana-1248	213	4	always	always	ADV
cana-1248	213	5	high	high	ADJ
cana-1248	213	6	f	f	ADJ
cana-1248	213	7	-	-	PUNCT
cana-1248	213	8	measure	measure	NOUN
cana-1248	213	9	values	value	NOUN
cana-1248	213	10	indicate	indicate	VERB
cana-1248	213	11	a	a	DET
cana-1248	213	12	harmonic	harmonic	ADJ
cana-1248	213	13	attempt	attempt	NOUN
cana-1248	213	14	to	to	PART
cana-1248	213	15	lower	lower	VERB
cana-1248	213	16	false	false	ADJ
cana-1248	213	17	positives	positive	NOUN
cana-1248	213	18	and	and	CCONJ
cana-1248	213	19	false	false	ADJ
cana-1248	213	20	negatives	negative	NOUN
cana-1248	213	21	.	.	PUNCT
cana-1248	214	1	since	since	SCONJ
cana-1248	214	2	the	the	DET
cana-1248	214	3	advanced	advanced	ADJ
cana-1248	214	4	treatment	treatment	NOUN
cana-1248	214	5	of	of	ADP
cana-1248	214	6	nonlinear	nonlinear	ADJ
cana-1248	214	7	dynamics	dynamic	NOUN
cana-1248	214	8	and	and	CCONJ
cana-1248	214	9	its	its	PRON
cana-1248	214	10	effective	effective	ADJ
cana-1248	214	11	integration	integration	NOUN
cana-1248	214	12	of	of	ADP
cana-1248	214	13	fractional	fractional	ADJ
cana-1248	214	14	differential	differential	ADJ
cana-1248	214	15	equations	equation	NOUN
cana-1248	214	16	into	into	ADP
cana-1248	214	17	the	the	DET
cana-1248	214	18	ann	ann	PROPN
cana-1248	214	19	framework	framework	NOUN
cana-1248	214	20	offer	offer	VERB
cana-1248	214	21	a	a	DET
cana-1248	214	22	clear	clear	ADJ
cana-1248	214	23	advancement	advancement	NOUN
cana-1248	214	24	in	in	ADP
cana-1248	214	25	malicious	malicious	ADJ
cana-1248	214	26	code	code	NOUN
cana-1248	214	27	identification	identification	NOUN
cana-1248	214	28	,	,	PUNCT
cana-1248	214	29	a	a	DET
cana-1248	214	30	valuable	valuable	ADJ
cana-1248	214	31	technique	technique	NOUN
cana-1248	214	32	for	for	ADP
cana-1248	214	33	strengthening	strengthen	VERB
cana-1248	214	34	network	network	NOUN
cana-1248	214	35	security	security	NOUN
cana-1248	214	36	is	be	AUX
cana-1248	214	37	provided	provide	VERB
cana-1248	214	38	.	.	PUNCT
cana-1248	215	1	references	reference	NOUN
cana-1248	215	2	[	[	X
cana-1248	215	3	1	1	NUM
cana-1248	215	4	]	]	SYM
cana-1248	215	5	li	li	PROPN
cana-1248	215	6	,	,	PUNCT
cana-1248	215	7	m.	m.	NOUN
cana-1248	215	8	,	,	PUNCT
cana-1248	215	9	wang	wang	PROPN
cana-1248	215	10	,	,	PUNCT
cana-1248	215	11	j.	j.	PROPN
cana-1248	215	12	,	,	PUNCT
cana-1248	215	13	shen	shen	PROPN
cana-1248	215	14	,	,	PUNCT
cana-1248	215	15	b.	b.	PROPN
cana-1248	215	16	z.	z.	PROPN
cana-1248	215	17	,	,	PUNCT
cana-1248	215	18	&	&	CCONJ
cana-1248	215	19	zhou	zhou	PROPN
cana-1248	215	20	,	,	PUNCT
cana-1248	215	21	y.	y.	PROPN
cana-1248	215	22	(	(	PUNCT
cana-1248	215	23	2024	2024	NUM
cana-1248	215	24	)	)	PUNCT
cana-1248	215	25	.	.	PUNCT
cana-1248	216	1	security	security	NOUN
cana-1248	216	2	capacity	capacity	NOUN
cana-1248	216	3	by	by	ADP
cana-1248	216	4	nonlinear	nonlinear	ADJ
cana-1248	216	5	transmission	transmission	NOUN
cana-1248	216	6	in	in	ADP
cana-1248	216	7	mimo	mimo	PROPN
cana-1248	216	8	systems	system	NOUN
cana-1248	216	9	for	for	ADP
cana-1248	216	10	physical	physical	ADJ
cana-1248	216	11	layer	layer	NOUN
cana-1248	216	12	security	security	NOUN
cana-1248	216	13	.	.	PUNCT
cana-1248	217	1	wireless	wireless	ADJ
cana-1248	217	2	personal	personal	ADJ
cana-1248	217	3	communications	communication	NOUN
cana-1248	217	4	,	,	PUNCT
cana-1248	217	5	1	1	NUM
cana-1248	217	6	-	-	SYM
cana-1248	217	7	21	21	NUM
cana-1248	217	8	.	.	PUNCT
cana-1248	218	1	[	[	X
cana-1248	218	2	2	2	NUM
cana-1248	218	3	]	]	X
cana-1248	218	4	praghash	praghash	NOUN
cana-1248	218	5	,	,	PUNCT
cana-1248	218	6	k.	k.	PROPN
cana-1248	218	7	,	,	PUNCT
cana-1248	218	8	yuvaraj	yuvaraj	PROPN
cana-1248	218	9	,	,	PUNCT
cana-1248	218	10	n.	n.	PROPN
cana-1248	218	11	,	,	PUNCT
cana-1248	218	12	peter	peter	PROPN
cana-1248	218	13	,	,	PUNCT
cana-1248	218	14	g.	g.	PROPN
cana-1248	218	15	,	,	PUNCT
cana-1248	218	16	stonier	stonier	NOUN
cana-1248	218	17	,	,	PUNCT
cana-1248	218	18	a.	a.	NOUN
cana-1248	218	19	a.	a.	PROPN
cana-1248	218	20	,	,	PUNCT
cana-1248	218	21	&	&	CCONJ
cana-1248	218	22	priya	priya	PROPN
cana-1248	218	23	,	,	PUNCT
cana-1248	218	24	r.	r.	PROPN
cana-1248	218	25	d.	d.	PROPN
cana-1248	218	26	(	(	PUNCT
cana-1248	218	27	2022	2022	NUM
cana-1248	218	28	,	,	PUNCT
cana-1248	218	29	december	december	PROPN
cana-1248	218	30	)	)	PUNCT
cana-1248	218	31	.	.	PUNCT
cana-1248	219	1	financial	financial	ADJ
cana-1248	219	2	big	big	ADJ
cana-1248	219	3	data	datum	NOUN
cana-1248	219	4	analysis	analysis	NOUN
cana-1248	219	5	using	use	VERB
cana-1248	219	6	anti	anti	ADJ
cana-1248	219	7	-	-	ADJ
cana-1248	219	8	tampering	tamper	VERB
cana-1248	219	9	blockchain	blockchain	NOUN
cana-1248	219	10	-	-	PUNCT
cana-1248	219	11	based	base	VERB
cana-1248	219	12	deep	deep	ADJ
cana-1248	219	13	learning	learning	NOUN
cana-1248	219	14	.	.	PUNCT
cana-1248	220	1	in	in	ADP
cana-1248	220	2	international	international	ADJ
cana-1248	220	3	conference	conference	NOUN
cana-1248	220	4	on	on	ADP
cana-1248	220	5	hybrid	hybrid	ADJ
cana-1248	220	6	intelligent	intelligent	ADJ
cana-1248	220	7	systems	system	NOUN
cana-1248	220	8	(	(	PUNCT
cana-1248	220	9	pp	pp	ADJ
cana-1248	220	10	.	.	PUNCT
cana-1248	220	11	1031	1031	NUM
cana-1248	220	12	-	-	SYM
cana-1248	220	13	1040	1040	NUM
cana-1248	220	14	)	)	PUNCT
cana-1248	220	15	.	.	PUNCT
cana-1248	221	1	cham	cham	PROPN
cana-1248	221	2	:	:	PUNCT
cana-1248	221	3	springer	springer	NOUN
cana-1248	221	4	nature	nature	PROPN
cana-1248	221	5	switzerland	switzerland	PROPN
cana-1248	221	6	.	.	PUNCT
cana-1248	222	1	[	[	X
cana-1248	222	2	3	3	NUM
cana-1248	222	3	]	]	PUNCT
cana-1248	222	4	alsaadi	alsaadi	NOUN
cana-1248	222	5	,	,	PUNCT
cana-1248	222	6	a.	a.	NOUN
cana-1248	222	7	,	,	PUNCT
cana-1248	222	8	dayan	dayan	PROPN
cana-1248	222	9	,	,	PUNCT
cana-1248	222	10	f.	f.	PROPN
cana-1248	222	11	,	,	PUNCT
cana-1248	222	12	ahmed	ahmed	PROPN
cana-1248	222	13	,	,	PUNCT
cana-1248	222	14	n.	n.	NOUN
cana-1248	222	15	,	,	PUNCT
cana-1248	222	16	baleanu	baleanu	PROPN
cana-1248	222	17	,	,	PUNCT
cana-1248	222	18	d.	d.	PROPN
cana-1248	222	19	,	,	PUNCT
cana-1248	222	20	rafiq	rafiq	PROPN
cana-1248	222	21	,	,	PUNCT
cana-1248	222	22	m.	m.	NOUN
cana-1248	222	23	,	,	PUNCT
cana-1248	222	24	&	&	CCONJ
cana-1248	222	25	raza	raza	PROPN
cana-1248	222	26	,	,	PUNCT
cana-1248	222	27	a.	a.	NOUN
cana-1248	222	28	(	(	PUNCT
cana-1248	222	29	2023	2023	NUM
cana-1248	222	30	)	)	PUNCT
cana-1248	222	31	.	.	PUNCT
cana-1248	223	1	a	a	DET
cana-1248	223	2	novel	novel	ADJ
cana-1248	223	3	method	method	NOUN
cana-1248	223	4	for	for	ADP
cana-1248	223	5	the	the	DET
cana-1248	223	6	dynamics	dynamic	NOUN
cana-1248	223	7	of	of	ADP
cana-1248	223	8	worms	worm	NOUN
cana-1248	223	9	in	in	ADP
cana-1248	223	10	wireless	wireless	ADJ
cana-1248	223	11	sensor	sensor	NOUN
cana-1248	223	12	networks	network	NOUN
cana-1248	223	13	with	with	ADP
cana-1248	223	14	fuzzy	fuzzy	ADJ
cana-1248	223	15	partition	partition	NOUN
cana-1248	223	16	.	.	PUNCT
cana-1248	224	1	aip	aip	PROPN
cana-1248	224	2	advances	advance	NOUN
cana-1248	224	3	,	,	PUNCT
cana-1248	224	4	13(10	13(10	NUM
cana-1248	224	5	)	)	PUNCT
cana-1248	224	6	.	.	PUNCT
cana-1248	225	1	[	[	X
cana-1248	225	2	4	4	NUM
cana-1248	225	3	]	]	PUNCT
cana-1248	225	4	gobinathan	gobinathan	NOUN
cana-1248	225	5	,	,	PUNCT
cana-1248	225	6	b.	b.	PROPN
cana-1248	225	7	,	,	PUNCT
cana-1248	225	8	mukunthan	mukunthan	PROPN
cana-1248	225	9	,	,	PUNCT
cana-1248	225	10	m.	m.	NOUN
cana-1248	225	11	a.	a.	PROPN
cana-1248	225	12	,	,	PUNCT
cana-1248	225	13	surendran	surendran	NOUN
cana-1248	225	14	,	,	PUNCT
cana-1248	225	15	s.	s.	PROPN
cana-1248	225	16	,	,	PUNCT
cana-1248	225	17	somasundaram	somasundaram	PROPN
cana-1248	225	18	,	,	PUNCT
cana-1248	225	19	k.	k.	PROPN
cana-1248	225	20	,	,	PUNCT
cana-1248	225	21	moeed	moeed	PROPN
cana-1248	225	22	,	,	PUNCT
cana-1248	225	23	s.	s.	PROPN
cana-1248	225	24	a.	a.	PROPN
cana-1248	225	25	,	,	PUNCT
cana-1248	225	26	niranjan	niranjan	PROPN
cana-1248	225	27	,	,	PUNCT
cana-1248	225	28	p.	p.	PROPN
cana-1248	225	29	,	,	PUNCT
cana-1248	225	30	...	...	PUNCT
cana-1248	225	31	&	&	CCONJ
cana-1248	225	32	sundramurthy	sundramurthy	PROPN
cana-1248	225	33	,	,	PUNCT
cana-1248	225	34	v.	v.	PROPN
cana-1248	225	35	p.	p.	NOUN
cana-1248	225	36	(	(	PUNCT
cana-1248	225	37	2021	2021	NUM
cana-1248	225	38	)	)	PUNCT
cana-1248	225	39	.	.	PUNCT
cana-1248	226	1	a	a	DET
cana-1248	226	2	novel	novel	ADJ
cana-1248	226	3	method	method	NOUN
cana-1248	226	4	to	to	PART
cana-1248	226	5	solve	solve	VERB
cana-1248	226	6	real	real	ADJ
cana-1248	226	7	time	time	NOUN
cana-1248	226	8	security	security	NOUN
cana-1248	226	9	issues	issue	NOUN
cana-1248	226	10	in	in	ADP
cana-1248	226	11	software	software	NOUN
cana-1248	226	12	industry	industry	NOUN
cana-1248	226	13	using	use	VERB
cana-1248	226	14	advanced	advanced	ADJ
cana-1248	226	15	cryptographic	cryptographic	ADJ
cana-1248	226	16	techniques	technique	NOUN
cana-1248	226	17	.	.	PUNCT
cana-1248	227	1	scientific	scientific	ADJ
cana-1248	227	2	programming	programming	NOUN
cana-1248	227	3	,	,	PUNCT
cana-1248	227	4	2021(1	2021(1	NUM
cana-1248	227	5	)	)	PUNCT
cana-1248	227	6	,	,	PUNCT
cana-1248	227	7	3611182	3611182	NUM
cana-1248	227	8	.	.	PUNCT
cana-1248	228	1	[	[	X
cana-1248	228	2	5	5	NUM
cana-1248	228	3	]	]	X
cana-1248	228	4	srivastava	srivastava	PROPN
cana-1248	228	5	,	,	PUNCT
cana-1248	228	6	v.	v.	PROPN
cana-1248	228	7	,	,	PUNCT
cana-1248	228	8	srivastava	srivastava	PROPN
cana-1248	228	9	,	,	PUNCT
cana-1248	228	10	p.	p.	PROPN
cana-1248	228	11	k.	k.	PROPN
cana-1248	228	12	,	,	PUNCT
cana-1248	228	13	mishra	mishra	PROPN
cana-1248	228	14	,	,	PUNCT
cana-1248	228	15	j.	j.	PROPN
cana-1248	228	16	,	,	PUNCT
cana-1248	228	17	ojha	ojha	PROPN
cana-1248	228	18	,	,	PUNCT
cana-1248	228	19	r.	r.	PROPN
cana-1248	228	20	p.	p.	PROPN
cana-1248	228	21	,	,	PUNCT
cana-1248	228	22	pandey	pandey	PROPN
cana-1248	228	23	,	,	PUNCT
cana-1248	228	24	p.	p.	PROPN
cana-1248	228	25	s.	s.	PROPN
cana-1248	228	26	,	,	PUNCT
cana-1248	228	27	dwivedi	dwivedi	PROPN
cana-1248	228	28	,	,	PUNCT
cana-1248	228	29	r.	r.	PROPN
cana-1248	228	30	s.	s.	PROPN
cana-1248	228	31	,	,	PUNCT
cana-1248	228	32	...	...	PUNCT
cana-1248	228	33	&	&	CCONJ
cana-1248	228	34	galletta	galletta	NOUN
cana-1248	228	35	,	,	PUNCT
cana-1248	228	36	a.	a.	NOUN
cana-1248	228	37	(	(	PUNCT
cana-1248	228	38	2023	2023	NUM
cana-1248	228	39	)	)	PUNCT
cana-1248	228	40	.	.	PUNCT
cana-1248	229	1	generalized	generalize	VERB
cana-1248	229	2	defensive	defensive	ADJ
cana-1248	229	3	modeling	modeling	NOUN
cana-1248	229	4	of	of	ADP
cana-1248	229	5	malware	malware	NOUN
cana-1248	229	6	propagation	propagation	NOUN
cana-1248	229	7	in	in	ADP
cana-1248	229	8	wsns	wsns	NOUN
cana-1248	229	9	using	use	VERB
cana-1248	229	10	atangana	atangana	PROPN
cana-1248	229	11	–	–	PUNCT
cana-1248	229	12	baleanu	baleanu	PROPN
cana-1248	229	13	–	–	PUNCT
cana-1248	229	14	caputo	caputo	PROPN
cana-1248	229	15	(	(	PUNCT
cana-1248	229	16	abc	abc	PROPN
cana-1248	229	17	)	)	PUNCT
cana-1248	229	18	fractional	fractional	ADJ
cana-1248	229	19	derivative	derivative	NOUN
cana-1248	229	20	.	.	PUNCT
cana-1248	230	1	ieee	ieee	NOUN
cana-1248	230	2	access	access	NOUN
cana-1248	230	3	,	,	PUNCT
cana-1248	230	4	11	11	NUM
cana-1248	230	5	,	,	PUNCT
cana-1248	230	6	49042	49042	NUM
cana-1248	230	7	-	-	SYM
cana-1248	230	8	49058	49058	NUM
cana-1248	230	9	.	.	PUNCT
cana-1248	231	1	[	[	X
cana-1248	231	2	6	6	NUM
cana-1248	231	3	]	]	PUNCT
cana-1248	231	4	rajalakshmi	rajalakshmi	NOUN
cana-1248	231	5	,	,	PUNCT
cana-1248	231	6	m.	m.	NOUN
cana-1248	231	7	,	,	PUNCT
cana-1248	231	8	saravanan	saravanan	PROPN
cana-1248	231	9	,	,	PUNCT
cana-1248	231	10	v.	v.	PROPN
cana-1248	231	11	,	,	PUNCT
cana-1248	231	12	arunprasad	arunprasad	PROPN
cana-1248	231	13	,	,	PUNCT
cana-1248	231	14	v.	v.	PROPN
cana-1248	231	15	,	,	PUNCT
cana-1248	231	16	romero	romero	PROPN
cana-1248	231	17	,	,	PUNCT
cana-1248	231	18	c.	c.	PROPN
cana-1248	231	19	t.	t.	PROPN
cana-1248	231	20	,	,	PUNCT
cana-1248	231	21	khalaf	khalaf	PROPN
cana-1248	231	22	,	,	PUNCT
cana-1248	231	23	o.	o.	PROPN
cana-1248	231	24	i.	i.	PROPN
cana-1248	231	25	,	,	PUNCT
cana-1248	231	26	&	&	CCONJ
cana-1248	231	27	karthik	karthik	PROPN
cana-1248	231	28	,	,	PUNCT
cana-1248	231	29	c.	c.	PROPN
cana-1248	231	30	(	(	PUNCT
cana-1248	231	31	2022	2022	NUM
cana-1248	231	32	)	)	PUNCT
cana-1248	231	33	.	.	PUNCT
cana-1248	232	1	machine	machine	NOUN
cana-1248	232	2	learning	learn	VERB
cana-1248	232	3	for	for	ADP
cana-1248	232	4	modeling	modeling	NOUN
cana-1248	232	5	and	and	CCONJ
cana-1248	232	6	control	control	NOUN
cana-1248	232	7	of	of	ADP
cana-1248	232	8	industrial	industrial	ADJ
cana-1248	232	9	clarifier	clarifier	NOUN
cana-1248	232	10	process	process	NOUN
cana-1248	232	11	.	.	PUNCT
cana-1248	233	1	intelligent	intelligent	ADJ
cana-1248	233	2	automation	automation	NOUN
cana-1248	233	3	&	&	CCONJ
cana-1248	233	4	soft	soft	ADJ
cana-1248	233	5	computing	computing	NOUN
cana-1248	233	6	,	,	PUNCT
cana-1248	233	7	32(1	32(1	NUM
cana-1248	233	8	)	)	PUNCT
cana-1248	233	9	.	.	PUNCT
cana-1248	234	1	[	[	X
cana-1248	234	2	7	7	X
cana-1248	234	3	]	]	PUNCT
cana-1248	234	4	frutos	frutos	PROPN
cana-1248	234	5	-	-	PUNCT
cana-1248	234	6	bernal	bernal	PROPN
cana-1248	234	7	,	,	PUNCT
cana-1248	234	8	e.	e.	PROPN
cana-1248	234	9	,	,	PUNCT
cana-1248	234	10	rodríguez	rodríguez	PROPN
cana-1248	234	11	-	-	PUNCT
cana-1248	234	12	rosa	rosa	PROPN
cana-1248	234	13	,	,	PUNCT
cana-1248	234	14	m.	m.	NOUN
cana-1248	234	15	,	,	PUNCT
cana-1248	234	16	anciones	ancione	NOUN
cana-1248	234	17	-	-	PUNCT
cana-1248	234	18	polo	polo	NOUN
cana-1248	234	19	,	,	PUNCT
cana-1248	234	20	m.	m.	NOUN
cana-1248	234	21	,	,	PUNCT
cana-1248	234	22	&	&	CCONJ
cana-1248	234	23	martín	martín	PROPN
cana-1248	234	24	-	-	PUNCT
cana-1248	234	25	del	del	PROPN
cana-1248	234	26	rey	rey	PROPN
cana-1248	234	27	,	,	PUNCT
cana-1248	234	28	á	á	PROPN
cana-1248	234	29	.	.	PUNCT
cana-1248	234	30	(	(	PUNCT
cana-1248	234	31	2023	2023	NUM
cana-1248	234	32	)	)	PUNCT
cana-1248	234	33	.	.	PUNCT
cana-1248	235	1	analyzing	analyze	VERB
cana-1248	235	2	malware	malware	NOUN
cana-1248	235	3	propagation	propagation	NOUN
cana-1248	235	4	on	on	ADP
cana-1248	235	5	wireless	wireless	ADJ
cana-1248	235	6	sensor	sensor	NOUN
cana-1248	235	7	networks	network	NOUN
cana-1248	235	8	:	:	PUNCT
cana-1248	235	9	a	a	DET
cana-1248	235	10	new	new	ADJ
cana-1248	235	11	approach	approach	NOUN
cana-1248	235	12	using	use	VERB
cana-1248	235	13	queueing	queue	VERB
cana-1248	235	14	theory	theory	NOUN
cana-1248	235	15	and	and	CCONJ
cana-1248	235	16	hj	hj	NOUN
cana-1248	235	17	-	-	PUNCT
cana-1248	235	18	biplot	biplot	NOUN
cana-1248	235	19	with	with	ADP
cana-1248	235	20	a	a	DET
cana-1248	235	21	sirs	sir	NOUN
cana-1248	235	22	model	model	NOUN
cana-1248	235	23	.	.	PUNCT
cana-1248	236	1	mathematics	mathematic	NOUN
cana-1248	236	2	,	,	PUNCT
cana-1248	236	3	12(1	12(1	NUM
cana-1248	236	4	)	)	PUNCT
cana-1248	236	5	,	,	PUNCT
cana-1248	236	6	135	135	NUM
cana-1248	236	7	.	.	PUNCT
cana-1248	237	1	[	[	X
cana-1248	237	2	8	8	NUM
cana-1248	237	3	]	]	PUNCT
cana-1248	237	4	choudhry	choudhry	NOUN
cana-1248	237	5	,	,	PUNCT
cana-1248	237	6	m.	m.	NOUN
cana-1248	237	7	d.	d.	PROPN
cana-1248	237	8	,	,	PUNCT
cana-1248	237	9	sivaraj	sivaraj	PROPN
cana-1248	237	10	,	,	PUNCT
cana-1248	237	11	j.	j.	PROPN
cana-1248	237	12	,	,	PUNCT
cana-1248	237	13	munusamy	munusamy	PROPN
cana-1248	237	14	,	,	PUNCT
cana-1248	237	15	s.	s.	PROPN
cana-1248	237	16	,	,	PUNCT
cana-1248	237	17	muthusamy	muthusamy	PROPN
cana-1248	237	18	,	,	PUNCT
cana-1248	237	19	p.	p.	PROPN
cana-1248	237	20	d.	d.	PROPN
cana-1248	237	21	,	,	PUNCT
cana-1248	237	22	&	&	CCONJ
cana-1248	237	23	saravanan	saravanan	PROPN
cana-1248	237	24	,	,	PUNCT
cana-1248	237	25	v.	v.	PROPN
cana-1248	237	26	(	(	PUNCT
cana-1248	237	27	2024	2024	NUM
cana-1248	237	28	)	)	PUNCT
cana-1248	237	29	.	.	PUNCT
cana-1248	238	1	industry	industry	NOUN
cana-1248	238	2	4.0	4.0	NUM
cana-1248	238	3	in	in	ADP
cana-1248	238	4	manufacturing	manufacturing	NOUN
cana-1248	238	5	,	,	PUNCT
cana-1248	238	6	communication	communication	NOUN
cana-1248	238	7	,	,	PUNCT
cana-1248	238	8	transportation	transportation	NOUN
cana-1248	238	9	,	,	PUNCT
cana-1248	238	10	and	and	CCONJ
cana-1248	238	11	health	health	NOUN
cana-1248	238	12	care	care	NOUN
cana-1248	238	13	.	.	PUNCT
cana-1248	239	1	topics	topic	NOUN
cana-1248	239	2	in	in	ADP
cana-1248	239	3	artificial	artificial	ADJ
cana-1248	239	4	intelligence	intelligence	NOUN
cana-1248	239	5	applied	apply	VERB
cana-1248	239	6	to	to	ADP
cana-1248	239	7	industry	industry	NOUN
cana-1248	239	8	4.0	4.0	NUM
cana-1248	239	9	,	,	PUNCT
cana-1248	239	10	149	149	NUM
cana-1248	239	11	-	-	SYM
cana-1248	239	12	165	165	NUM
cana-1248	239	13	.	.	PUNCT
cana-1248	240	1	[	[	X
cana-1248	240	2	9	9	NUM
cana-1248	240	3	]	]	X
cana-1248	240	4	martín	martín	PROPN
cana-1248	240	5	del	del	PROPN
cana-1248	240	6	rey	rey	PROPN
cana-1248	240	7	,	,	PUNCT
cana-1248	240	8	á	á	PROPN
cana-1248	240	9	.	.	PUNCT
cana-1248	240	10	m.	m.	NOUN
cana-1248	240	11	(	(	PUNCT
cana-1248	240	12	2024	2024	NUM
cana-1248	240	13	)	)	PUNCT
cana-1248	240	14	.	.	PUNCT
cana-1248	241	1	a	a	DET
cana-1248	241	2	novel	novel	ADJ
cana-1248	241	3	model	model	NOUN
cana-1248	241	4	for	for	ADP
cana-1248	241	5	malware	malware	NOUN
cana-1248	241	6	propagation	propagation	NOUN
cana-1248	241	7	on	on	ADP
cana-1248	241	8	wireless	wireless	ADJ
cana-1248	241	9	sensor	sensor	NOUN
cana-1248	241	10	networks	network	NOUN
cana-1248	241	11	.	.	PUNCT
cana-1248	242	1	mathematical	mathematical	ADJ
cana-1248	242	2	biosciences	bioscience	NOUN
cana-1248	242	3	and	and	CCONJ
cana-1248	242	4	engineering	engineering	NOUN
cana-1248	242	5	,	,	PUNCT
cana-1248	242	6	21(3	21(3	NUM
cana-1248	242	7	)	)	PUNCT
cana-1248	242	8	,	,	PUNCT
cana-1248	242	9	3967	3967	NUM
cana-1248	242	10	-	-	SYM
cana-1248	242	11	3998	3998	NUM
cana-1248	242	12	.	.	PUNCT
cana-1248	243	1	communications	communication	NOUN
cana-1248	243	2	on	on	ADP
cana-1248	243	3	applied	apply	VERB
cana-1248	243	4	nonlinear	nonlinear	ADJ
cana-1248	243	5	analysis	analysis	NOUN
cana-1248	243	6	issn	issn	NOUN
cana-1248	243	7	:	:	PUNCT
cana-1248	243	8	1074	1074	NUM
cana-1248	243	9	-	-	PUNCT
cana-1248	243	10	133x	133x	NUM
cana-1248	243	11	vol	vol	NOUN
cana-1248	243	12	31	31	NUM
cana-1248	243	13	no	no	NOUN
cana-1248	243	14	.	.	PUNCT
cana-1248	244	1	6s	6s	NUM
cana-1248	244	2	(	(	PUNCT
cana-1248	244	3	2024	2024	NUM
cana-1248	244	4	)	)	PUNCT
cana-1248	244	5	633	633	NUM
cana-1248	244	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-1248	245	1	[	[	X
cana-1248	245	2	10	10	NUM
cana-1248	245	3	]	]	X
cana-1248	245	4	ramkumar	ramkumar	PROPN
cana-1248	245	5	,	,	PUNCT
cana-1248	245	6	m.	m.	NOUN
cana-1248	245	7	,	,	PUNCT
cana-1248	245	8	logeshwaran	logeshwaran	NOUN
cana-1248	245	9	,	,	PUNCT
cana-1248	245	10	j.	j.	PROPN
cana-1248	245	11	,	,	PUNCT
cana-1248	245	12	&	&	CCONJ
cana-1248	245	13	husna	husna	ADJ
cana-1248	245	14	,	,	PUNCT
cana-1248	245	15	t.	t.	PROPN
cana-1248	245	16	(	(	PUNCT
cana-1248	245	17	2022	2022	NUM
cana-1248	245	18	)	)	PUNCT
cana-1248	245	19	.	.	PUNCT
cana-1248	246	1	cea	cea	PROPN
cana-1248	246	2	:	:	PUNCT
cana-1248	246	3	certification	certification	NOUN
cana-1248	246	4	based	base	VERB
cana-1248	246	5	encryption	encryption	NOUN
cana-1248	246	6	algorithm	algorithm	NOUN
cana-1248	246	7	for	for	ADP
cana-1248	246	8	enhanced	enhanced	ADJ
cana-1248	246	9	data	datum	NOUN
cana-1248	246	10	protection	protection	NOUN
cana-1248	246	11	in	in	ADP
cana-1248	246	12	social	social	ADJ
cana-1248	246	13	networks	network	NOUN
cana-1248	246	14	.	.	PUNCT
cana-1248	247	1	fundamentals	fundamental	NOUN
cana-1248	247	2	of	of	ADP
cana-1248	247	3	applied	apply	VERB
cana-1248	247	4	mathematics	mathematic	NOUN
cana-1248	247	5	and	and	CCONJ
cana-1248	247	6	soft	soft	ADJ
cana-1248	247	7	computing	computing	NOUN
cana-1248	247	8	,	,	PUNCT
cana-1248	247	9	1	1	NUM
cana-1248	247	10	,	,	PUNCT
cana-1248	247	11	161	161	NUM
cana-1248	247	12	-	-	SYM
cana-1248	247	13	170	170	NUM
cana-1248	247	14	[	[	X
cana-1248	247	15	11	11	NUM
cana-1248	247	16	]	]	PUNCT
cana-1248	247	17	carnier	carnier	NOUN
cana-1248	247	18	,	,	PUNCT
cana-1248	247	19	r.	r.	PROPN
cana-1248	247	20	m.	m.	PROPN
cana-1248	247	21	,	,	PUNCT
cana-1248	247	22	li	li	PROPN
cana-1248	247	23	,	,	PUNCT
cana-1248	247	24	y.	y.	PROPN
cana-1248	247	25	,	,	PUNCT
cana-1248	247	26	fujimoto	fujimoto	PROPN
cana-1248	247	27	,	,	PUNCT
cana-1248	247	28	y.	y.	PROPN
cana-1248	247	29	,	,	PUNCT
cana-1248	247	30	&	&	CCONJ
cana-1248	247	31	shikata	shikata	PROPN
cana-1248	247	32	,	,	PUNCT
cana-1248	247	33	j.	j.	PROPN
cana-1248	247	34	(	(	PUNCT
cana-1248	247	35	2024	2024	NUM
cana-1248	247	36	)	)	PUNCT
cana-1248	247	37	.	.	PUNCT
cana-1248	248	1	deriving	derive	VERB
cana-1248	248	2	exact	exact	ADJ
cana-1248	248	3	mathematical	mathematical	ADJ
cana-1248	248	4	models	model	NOUN
cana-1248	248	5	of	of	ADP
cana-1248	248	6	malware	malware	NOUN
cana-1248	248	7	based	base	VERB
cana-1248	248	8	on	on	ADP
cana-1248	248	9	random	random	ADJ
cana-1248	248	10	propagation	propagation	NOUN
cana-1248	248	11	.	.	PUNCT
cana-1248	249	1	mathematics	mathematic	NOUN
cana-1248	249	2	,	,	PUNCT
cana-1248	249	3	12(6	12(6	NUM
cana-1248	249	4	)	)	PUNCT
cana-1248	249	5	,	,	PUNCT
cana-1248	249	6	835	835	NUM
cana-1248	249	7	.	.	PUNCT
cana-1248	250	1	[	[	X
cana-1248	250	2	12	12	NUM
cana-1248	250	3	]	]	X
cana-1248	250	4	zarin	zarin	PROPN
cana-1248	250	5	,	,	PUNCT
cana-1248	250	6	r.	r.	PROPN
cana-1248	250	7	,	,	PUNCT
cana-1248	250	8	ullah	ullah	PROPN
cana-1248	250	9	,	,	PUNCT
cana-1248	250	10	n.	n.	PROPN
cana-1248	250	11	,	,	PUNCT
cana-1248	250	12	khan	khan	PROPN
cana-1248	250	13	,	,	PUNCT
cana-1248	250	14	a.	a.	PROPN
cana-1248	250	15	,	,	PUNCT
cana-1248	250	16	&	&	CCONJ
cana-1248	250	17	humphries	humphries	PROPN
cana-1248	250	18	,	,	PUNCT
cana-1248	250	19	u.	u.	PROPN
cana-1248	250	20	w.	w.	PROPN
cana-1248	250	21	(	(	PUNCT
cana-1248	250	22	2023	2023	NUM
cana-1248	250	23	)	)	PUNCT
cana-1248	250	24	.	.	PUNCT
cana-1248	251	1	a	a	DET
cana-1248	251	2	numerical	numerical	ADJ
cana-1248	251	3	study	study	NOUN
cana-1248	251	4	of	of	ADP
cana-1248	251	5	a	a	DET
cana-1248	251	6	new	new	ADJ
cana-1248	251	7	non	non	ADJ
cana-1248	251	8	-	-	ADJ
cana-1248	251	9	linear	linear	ADJ
cana-1248	251	10	fractal	fractal	ADJ
cana-1248	251	11	fractional	fractional	ADJ
cana-1248	251	12	mathematical	mathematical	ADJ
cana-1248	251	13	model	model	NOUN
cana-1248	251	14	of	of	ADP
cana-1248	251	15	malicious	malicious	ADJ
cana-1248	251	16	codes	code	NOUN
cana-1248	251	17	propagation	propagation	NOUN
cana-1248	251	18	in	in	ADP
cana-1248	251	19	wireless	wireless	ADJ
cana-1248	251	20	sensor	sensor	NOUN
cana-1248	251	21	networks	network	NOUN
cana-1248	251	22	.	.	PUNCT
cana-1248	252	1	computers	computer	NOUN
cana-1248	252	2	&	&	CCONJ
cana-1248	252	3	security	security	NOUN
cana-1248	252	4	,	,	PUNCT
cana-1248	252	5	135	135	NUM
cana-1248	252	6	,	,	PUNCT
cana-1248	252	7	103484	103484	NUM
cana-1248	252	8	.	.	PUNCT
cana-1248	253	1	[	[	X
cana-1248	253	2	13	13	NUM
cana-1248	253	3	]	]	SYM
cana-1248	253	4	madhusudanan	madhusudanan	NOUN
cana-1248	253	5	,	,	PUNCT
cana-1248	253	6	v.	v.	PROPN
cana-1248	253	7	,	,	PUNCT
cana-1248	253	8	geetha	geetha	PROPN
cana-1248	253	9	,	,	PUNCT
cana-1248	253	10	r.	r.	PROPN
cana-1248	253	11	,	,	PUNCT
cana-1248	253	12	murthy	murthy	PROPN
cana-1248	253	13	,	,	PUNCT
cana-1248	253	14	b.	b.	PROPN
cana-1248	253	15	s.	s.	PROPN
cana-1248	253	16	n.	n.	PROPN
cana-1248	253	17	,	,	PUNCT
cana-1248	253	18	dao	dao	PROPN
cana-1248	253	19	,	,	PUNCT
cana-1248	253	20	n.	n.	PROPN
cana-1248	253	21	n.	n.	PROPN
cana-1248	253	22	,	,	PUNCT
cana-1248	253	23	&	&	CCONJ
cana-1248	253	24	cho	cho	PROPN
cana-1248	253	25	,	,	PUNCT
cana-1248	253	26	s.	s.	PROPN
cana-1248	253	27	(	(	PUNCT
cana-1248	253	28	2023	2023	NUM
cana-1248	253	29	)	)	PUNCT
cana-1248	253	30	.	.	PUNCT
cana-1248	254	1	analysis	analysis	NOUN
cana-1248	254	2	of	of	ADP
cana-1248	254	3	delay	delay	NOUN
cana-1248	254	4	-	-	PUNCT
cana-1248	254	5	aware	aware	ADJ
cana-1248	254	6	worm	worm	NOUN
cana-1248	254	7	propagation	propagation	NOUN
cana-1248	254	8	model	model	NOUN
cana-1248	254	9	in	in	ADP
cana-1248	254	10	wireless	wireless	ADJ
cana-1248	254	11	iot	iot	NOUN
cana-1248	254	12	systems	system	NOUN
cana-1248	254	13	with	with	ADP
cana-1248	254	14	ratio	ratio	NOUN
cana-1248	254	15	-	-	PUNCT
cana-1248	254	16	dependent	dependent	ADJ
cana-1248	254	17	functional	functional	ADJ
cana-1248	254	18	response	response	NOUN
cana-1248	254	19	.	.	PUNCT
cana-1248	255	1	ieee	ieee	NOUN
cana-1248	255	2	access	access	NOUN
cana-1248	255	3	,	,	PUNCT
cana-1248	255	4	11	11	NUM
cana-1248	255	5	,	,	PUNCT
cana-1248	255	6	3496834976	3496834976	NUM
cana-1248	255	7	.	.	PUNCT
cana-1248	256	1	[	[	X
cana-1248	256	2	14	14	NUM
cana-1248	256	3	]	]	X
cana-1248	256	4	khan	khan	PROPN
cana-1248	256	5	,	,	PUNCT
cana-1248	256	6	a.	a.	NOUN
cana-1248	256	7	,	,	PUNCT
cana-1248	256	8	abdeljawad	abdeljawad	NOUN
cana-1248	256	9	,	,	PUNCT
cana-1248	256	10	t.	t.	PROPN
cana-1248	256	11	,	,	PUNCT
cana-1248	256	12	&	&	CCONJ
cana-1248	256	13	alqudah	alqudah	PROPN
cana-1248	256	14	,	,	PUNCT
cana-1248	256	15	m.	m.	NOUN
cana-1248	256	16	a.	a.	NOUN
cana-1248	256	17	(	(	PUNCT
cana-1248	256	18	2023	2023	NUM
cana-1248	256	19	)	)	PUNCT
cana-1248	256	20	.	.	PUNCT
cana-1248	257	1	neural	neural	ADJ
cana-1248	257	2	networking	network	VERB
cana-1248	257	3	study	study	NOUN
cana-1248	257	4	of	of	ADP
cana-1248	257	5	worms	worm	NOUN
cana-1248	257	6	in	in	ADP
cana-1248	257	7	a	a	DET
cana-1248	257	8	wireless	wireless	ADJ
cana-1248	257	9	sensor	sensor	NOUN
cana-1248	257	10	model	model	NOUN
cana-1248	257	11	in	in	ADP
cana-1248	257	12	the	the	DET
cana-1248	257	13	sense	sense	NOUN
cana-1248	257	14	of	of	ADP
cana-1248	257	15	fractal	fractal	ADJ
cana-1248	257	16	fractional	fractional	NOUN
cana-1248	257	17	.	.	PUNCT
cana-1248	258	1	aims	aim	VERB
cana-1248	258	2	mathematics	mathematic	NOUN
cana-1248	258	3	,	,	PUNCT
cana-1248	258	4	8(11	8(11	NUM
cana-1248	258	5	)	)	PUNCT
cana-1248	258	6	,	,	PUNCT
cana-1248	258	7	26406	26406	NUM
cana-1248	258	8	-	-	SYM
cana-1248	258	9	26424	26424	NUM
cana-1248	258	10	.	.	PUNCT
cana-1248	259	1	[	[	X
cana-1248	259	2	15	15	NUM
cana-1248	259	3	]	]	X
cana-1248	259	4	murthy	murthy	PROPN
cana-1248	259	5	,	,	PUNCT
cana-1248	259	6	b.	b.	PROPN
cana-1248	259	7	s.	s.	PROPN
cana-1248	259	8	n.	n.	PROPN
cana-1248	259	9	,	,	PUNCT
cana-1248	259	10	srinivas	srinivas	PROPN
cana-1248	259	11	,	,	PUNCT
cana-1248	259	12	m.	m.	NOUN
cana-1248	259	13	n.	n.	PROPN
cana-1248	259	14	,	,	PUNCT
cana-1248	259	15	madhusudanan	madhusudanan	NOUN
cana-1248	259	16	,	,	PUNCT
cana-1248	259	17	v.	v.	PROPN
cana-1248	259	18	,	,	PUNCT
cana-1248	259	19	zeb	zeb	PROPN
cana-1248	259	20	,	,	PUNCT
cana-1248	259	21	a.	a.	NOUN
cana-1248	259	22	,	,	PUNCT
cana-1248	259	23	tag	tag	NOUN
cana-1248	259	24	-	-	PUNCT
cana-1248	259	25	eldin	eldin	NOUN
cana-1248	259	26	,	,	PUNCT
cana-1248	259	27	e.	e.	PROPN
cana-1248	259	28	m.	m.	PROPN
cana-1248	259	29	,	,	PUNCT
cana-1248	259	30	etemad	etemad	PROPN
cana-1248	259	31	,	,	PUNCT
cana-1248	259	32	s.	s.	PROPN
cana-1248	259	33	,	,	PUNCT
cana-1248	259	34	&	&	CCONJ
cana-1248	259	35	rezapour	rezapour	PROPN
cana-1248	259	36	,	,	PUNCT
cana-1248	259	37	s.	s.	PROPN
cana-1248	259	38	(	(	PUNCT
cana-1248	259	39	2024	2024	NUM
cana-1248	259	40	)	)	PUNCT
cana-1248	259	41	.	.	PUNCT
cana-1248	260	1	the	the	DET
cana-1248	260	2	impact	impact	NOUN
cana-1248	260	3	of	of	ADP
cana-1248	260	4	caputo	caputo	PROPN
cana-1248	260	5	-	-	PUNCT
cana-1248	260	6	fabrizio	fabrizio	PROPN
cana-1248	260	7	fractional	fractional	PROPN
cana-1248	260	8	derivative	derivative	NOUN
cana-1248	260	9	and	and	CCONJ
cana-1248	260	10	the	the	DET
cana-1248	260	11	dynamics	dynamic	NOUN
cana-1248	260	12	of	of	ADP
cana-1248	260	13	noise	noise	NOUN
cana-1248	260	14	on	on	ADP
cana-1248	260	15	worm	worm	NOUN
cana-1248	260	16	propagation	propagation	NOUN
cana-1248	260	17	in	in	ADP
cana-1248	260	18	wireless	wireless	ADJ
cana-1248	260	19	iot	iot	NOUN
cana-1248	260	20	networks	network	NOUN
cana-1248	260	21	.	.	PUNCT
cana-1248	261	1	alexandria	alexandria	PROPN
cana-1248	261	2	engineering	engineering	PROPN
cana-1248	261	3	journal	journal	PROPN
cana-1248	261	4	,	,	PUNCT
cana-1248	261	5	91	91	NUM
cana-1248	261	6	,	,	PUNCT
cana-1248	261	7	558	558	NUM
cana-1248	261	8	-	-	SYM
cana-1248	261	9	579	579	NUM
cana-1248	261	10	.	.	PUNCT
cana-1248	262	1	[	[	X
cana-1248	262	2	16	16	NUM
cana-1248	262	3	]	]	X
cana-1248	262	4	https://catalog.caida.org/dataset/telescope_codered_worm	https://catalog.caida.org/dataset/telescope_codered_worm	NOUN