id	sid	tid	token	lemma	pos
cana-4829	1	1	communications	communication	NOUN
cana-4829	1	2	on	on	ADP
cana-4829	1	3	applied	apply	VERB
cana-4829	1	4	nonlinear	nonlinear	ADJ
cana-4829	1	5	analysis	analysis	NOUN
cana-4829	1	6	issn	issn	NOUN
cana-4829	1	7	:	:	PUNCT
cana-4829	1	8	1074	1074	NUM
cana-4829	1	9	-	-	PUNCT
cana-4829	1	10	133x	133x	NUM
cana-4829	1	11	vol	vol	VERB
cana-4829	1	12	32	32	NUM
cana-4829	1	13	no	no	NOUN
cana-4829	1	14	.	.	PUNCT
cana-4829	2	1	10s	10	NOUN
cana-4829	2	2	(	(	PUNCT
cana-4829	2	3	2025	2025	NUM
cana-4829	2	4	)	)	PUNCT
cana-4829	2	5	359	359	NUM
cana-4829	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	3	2	advanced	advanced	ADJ
cana-4829	3	3	machine	machine	NOUN
cana-4829	3	4	learning	learn	VERB
cana-4829	3	5	techniques	technique	NOUN
cana-4829	3	6	for	for	ADP
cana-4829	3	7	accurate	accurate	ADJ
cana-4829	3	8	network	network	NOUN
cana-4829	3	9	traffic	traffic	NOUN
cana-4829	3	10	classification	classification	NOUN
cana-4829	3	11	models	model	NOUN
cana-4829	3	12	1dr	1dr	NOUN
cana-4829	3	13	.	.	PUNCT
cana-4829	4	1	n.	n.	PROPN
cana-4829	4	2	kannaiya	kannaiya	PROPN
cana-4829	4	3	raja	raja	PROPN
cana-4829	4	4	,	,	PUNCT
cana-4829	4	5	2dr	2dr	ADJ
cana-4829	4	6	.	.	PUNCT
cana-4829	5	1	karthikeyan	karthikeyan	PROPN
cana-4829	5	2	kaliyaperumal	kaliyaperumal	PROPN
cana-4829	5	3	,	,	PUNCT
cana-4829	5	4	3dr	3dr	PROPN
cana-4829	5	5	.	.	PUNCT
cana-4829	6	1	p.	p.	NOUN
cana-4829	6	2	vijayaragavan	vijayaragavan	NOUN
cana-4829	6	3	,	,	PUNCT
cana-4829	6	4	4dr	4dr	NOUN
cana-4829	6	5	.	.	PUNCT
cana-4829	7	1	d.	d.	PROPN
cana-4829	7	2	antony	antony	PROPN
cana-4829	7	3	joseph	joseph	PROPN
cana-4829	7	4	rajan	rajan	PROPN
cana-4829	7	5	1associate	1associate	NUM
cana-4829	7	6	professor	professor	PROPN
cana-4829	7	7	senior	senior	NOUN
cana-4829	7	8	,	,	PUNCT
cana-4829	7	9	school	school	NOUN
cana-4829	7	10	of	of	ADP
cana-4829	7	11	computing	compute	VERB
cana-4829	7	12	science	science	NOUN
cana-4829	7	13	and	and	CCONJ
cana-4829	7	14	engineering	engineering	NOUN
cana-4829	7	15	,	,	PUNCT
cana-4829	7	16	vit	vit	PROPN
cana-4829	7	17	bhopal	bhopal	PROPN
cana-4829	7	18	university	university	PROPN
cana-4829	7	19	bhopal	bhopal	NOUN
cana-4829	7	20	,	,	PUNCT
cana-4829	7	21	madhya	madhya	PROPN
cana-4829	7	22	pradesh	pradesh	PROPN
cana-4829	7	23	,	,	PUNCT
cana-4829	7	24	india	india	PROPN
cana-4829	7	25	.	.	PUNCT
cana-4829	7	26	1kannaiyaraju123@gmail.com	1kannaiyaraju123@gmail.com	NUM
cana-4829	8	1	2associate	2associate	NUM
cana-4829	8	2	professor	professor	NOUN
cana-4829	8	3	it@iot	it@iot	NOUN
cana-4829	8	4	hh	hh	PROPN
cana-4829	8	5	campus	campus	PROPN
cana-4829	8	6	,	,	PUNCT
cana-4829	8	7	ambo	ambo	ADJ
cana-4829	8	8	university	university	NOUN
cana-4829	8	9	,	,	PUNCT
cana-4829	8	10	ethiopia	ethiopia	PROPN
cana-4829	8	11	.	.	PUNCT
cana-4829	9	1	kirithicraj@gmail.com	kirithicraj@gmail.com	X
cana-4829	9	2	3professor	3professor	NUM
cana-4829	9	3	,	,	PUNCT
cana-4829	9	4	department	department	NOUN
cana-4829	9	5	of	of	ADP
cana-4829	9	6	computer	computer	NOUN
cana-4829	9	7	science	science	NOUN
cana-4829	9	8	and	and	CCONJ
cana-4829	9	9	engineering	engineering	NOUN
cana-4829	9	10	,	,	PUNCT
cana-4829	9	11	saveetha	saveetha	PROPN
cana-4829	9	12	school	school	NOUN
cana-4829	9	13	of	of	ADP
cana-4829	9	14	engineering	engineering	NOUN
cana-4829	9	15	,	,	PUNCT
cana-4829	9	16	saveetha	saveetha	PROPN
cana-4829	9	17	institute	institute	PROPN
cana-4829	9	18	of	of	ADP
cana-4829	9	19	medical	medical	ADJ
cana-4829	9	20	and	and	CCONJ
cana-4829	9	21	technical	technical	ADJ
cana-4829	9	22	sciences	science	NOUN
cana-4829	9	23	,	,	PUNCT
cana-4829	9	24	saveetha	saveetha	PROPN
cana-4829	9	25	university	university	PROPN
cana-4829	9	26	,	,	PUNCT
cana-4829	9	27	chennai	chennai	PROPN
cana-4829	9	28	,	,	PUNCT
cana-4829	9	29	tamil	tamil	PROPN
cana-4829	9	30	nadu	nadu	PROPN
cana-4829	9	31	,	,	PUNCT
cana-4829	9	32	india	india	PROPN
cana-4829	9	33	.	.	PUNCT
cana-4829	10	1	vijayaragavanpm83@gmail.com	vijayaragavanpm83@gmail.com	X
cana-4829	11	1	4associate	4associate	NUM
cana-4829	11	2	professor	professor	NOUN
cana-4829	11	3	,	,	PUNCT
cana-4829	11	4	department	department	NOUN
cana-4829	11	5	of	of	ADP
cana-4829	11	6	computer	computer	NOUN
cana-4829	11	7	science	science	NOUN
cana-4829	11	8	and	and	CCONJ
cana-4829	11	9	engineering	engineering	NOUN
cana-4829	11	10	,	,	PUNCT
cana-4829	11	11	saveetha	saveetha	PROPN
cana-4829	11	12	school	school	NOUN
cana-4829	11	13	of	of	ADP
cana-4829	11	14	engineering	engineering	NOUN
cana-4829	11	15	,	,	PUNCT
cana-4829	11	16	saveetha	saveetha	PROPN
cana-4829	11	17	institute	institute	PROPN
cana-4829	11	18	of	of	ADP
cana-4829	11	19	medical	medical	ADJ
cana-4829	11	20	and	and	CCONJ
cana-4829	11	21	technical	technical	ADJ
cana-4829	11	22	sciences	science	NOUN
cana-4829	11	23	,	,	PUNCT
cana-4829	11	24	saveetha	saveetha	PROPN
cana-4829	11	25	university	university	PROPN
cana-4829	11	26	,	,	PUNCT
cana-4829	11	27	chennai	chennai	PROPN
cana-4829	11	28	,	,	PUNCT
cana-4829	11	29	tamil	tamil	PROPN
cana-4829	11	30	nadu	nadu	PROPN
cana-4829	11	31	,	,	PUNCT
cana-4829	11	32	india	india	PROPN
cana-4829	11	33	..	..	PUNCT
cana-4829	11	34	antonyjosephjmj@gmail.com	antonyjosephjmj@gmail.com	X
cana-4829	12	1	article	article	NOUN
cana-4829	12	2	history	history	NOUN
cana-4829	12	3	:	:	PUNCT
cana-4829	12	4	received	receive	VERB
cana-4829	12	5	:	:	PUNCT
cana-4829	12	6	12	12	NUM
cana-4829	12	7	-	-	SYM
cana-4829	12	8	01	01	NUM
cana-4829	12	9	-	-	PUNCT
cana-4829	12	10	2025	2025	NUM
cana-4829	12	11	revised	revise	VERB
cana-4829	12	12	:	:	PUNCT
cana-4829	12	13	15	15	NUM
cana-4829	12	14	-	-	NUM
cana-4829	12	15	02	02	NUM
cana-4829	12	16	-	-	PUNCT
cana-4829	12	17	2025	2025	NUM
cana-4829	12	18	accepted	accept	VERB
cana-4829	12	19	:	:	PUNCT
cana-4829	12	20	01	01	NUM
cana-4829	12	21	-	-	SYM
cana-4829	12	22	03	03	NUM
cana-4829	12	23	-	-	PUNCT
cana-4829	12	24	2025	2025	NUM
cana-4829	12	25	abstract	abstract	NOUN
cana-4829	12	26	:	:	PUNCT
cana-4829	12	27	objectives	objective	VERB
cana-4829	12	28	:	:	PUNCT
cana-4829	12	29	the	the	DET
cana-4829	12	30	objective	objective	NOUN
cana-4829	12	31	of	of	ADP
cana-4829	12	32	this	this	DET
cana-4829	12	33	study	study	NOUN
cana-4829	12	34	is	be	AUX
cana-4829	12	35	to	to	PART
cana-4829	12	36	enhance	enhance	VERB
cana-4829	12	37	network	network	NOUN
cana-4829	12	38	performance	performance	NOUN
cana-4829	12	39	and	and	CCONJ
cana-4829	12	40	security	security	NOUN
cana-4829	12	41	through	through	ADP
cana-4829	12	42	efficient	efficient	ADJ
cana-4829	12	43	network	network	NOUN
cana-4829	12	44	traffic	traffic	NOUN
cana-4829	12	45	classification	classification	NOUN
cana-4829	12	46	.	.	PUNCT
cana-4829	13	1	the	the	DET
cana-4829	13	2	increasing	increase	VERB
cana-4829	13	3	complexity	complexity	NOUN
cana-4829	13	4	of	of	ADP
cana-4829	13	5	network	network	NOUN
cana-4829	13	6	traffic	traffic	NOUN
cana-4829	13	7	,	,	PUNCT
cana-4829	13	8	driven	drive	VERB
cana-4829	13	9	by	by	ADP
cana-4829	13	10	rising	rise	VERB
cana-4829	13	11	user	user	NOUN
cana-4829	13	12	demands	demand	NOUN
cana-4829	13	13	and	and	CCONJ
cana-4829	13	14	heterogeneous	heterogeneous	ADJ
cana-4829	13	15	applications	application	NOUN
cana-4829	13	16	,	,	PUNCT
cana-4829	13	17	presents	present	VERB
cana-4829	13	18	challenges	challenge	NOUN
cana-4829	13	19	for	for	ADP
cana-4829	13	20	traditional	traditional	ADJ
cana-4829	13	21	classification	classification	NOUN
cana-4829	13	22	methods	method	NOUN
cana-4829	13	23	.	.	PUNCT
cana-4829	14	1	this	this	DET
cana-4829	14	2	research	research	NOUN
cana-4829	14	3	aims	aim	VERB
cana-4829	14	4	to	to	PART
cana-4829	14	5	explore	explore	VERB
cana-4829	14	6	advanced	advanced	ADJ
cana-4829	14	7	machine	machine	NOUN
cana-4829	14	8	learning	learn	VERB
cana-4829	14	9	techniques	technique	NOUN
cana-4829	14	10	to	to	PART
cana-4829	14	11	improve	improve	VERB
cana-4829	14	12	the	the	DET
cana-4829	14	13	accuracy	accuracy	NOUN
cana-4829	14	14	and	and	CCONJ
cana-4829	14	15	efficiency	efficiency	NOUN
cana-4829	14	16	of	of	ADP
cana-4829	14	17	network	network	NOUN
cana-4829	14	18	traffic	traffic	NOUN
cana-4829	14	19	classification	classification	NOUN
cana-4829	14	20	,	,	PUNCT
cana-4829	14	21	leading	lead	VERB
cana-4829	14	22	to	to	ADP
cana-4829	14	23	better	well	ADJ
cana-4829	14	24	resource	resource	NOUN
cana-4829	14	25	utilization	utilization	NOUN
cana-4829	14	26	,	,	PUNCT
cana-4829	14	27	congestion	congestion	NOUN
cana-4829	14	28	reduction	reduction	NOUN
cana-4829	14	29	,	,	PUNCT
cana-4829	14	30	and	and	CCONJ
cana-4829	14	31	improved	improved	ADJ
cana-4829	14	32	decision	decision	NOUN
cana-4829	14	33	-	-	PUNCT
cana-4829	14	34	making	making	NOUN
cana-4829	14	35	in	in	ADP
cana-4829	14	36	network	network	NOUN
cana-4829	14	37	administration	administration	NOUN
cana-4829	14	38	.	.	PUNCT
cana-4829	15	1	methods	method	NOUN
cana-4829	15	2	:	:	PUNCT
cana-4829	15	3	the	the	DET
cana-4829	15	4	study	study	NOUN
cana-4829	15	5	employed	employ	VERB
cana-4829	15	6	advanced	advanced	ADJ
cana-4829	15	7	machine	machine	NOUN
cana-4829	15	8	learning	learning	NOUN
cana-4829	15	9	models	model	NOUN
cana-4829	15	10	,	,	PUNCT
cana-4829	15	11	including	include	VERB
cana-4829	15	12	support	support	NOUN
cana-4829	15	13	vector	vector	NOUN
cana-4829	15	14	machine	machine	NOUN
cana-4829	15	15	(	(	PUNCT
cana-4829	15	16	svm	svm	PROPN
cana-4829	15	17	)	)	PUNCT
cana-4829	15	18	,	,	PUNCT
cana-4829	15	19	k	k	X
cana-4829	15	20	-	-	PUNCT
cana-4829	15	21	nearest	near	ADJ
cana-4829	15	22	neighbors	neighbor	NOUN
cana-4829	15	23	(	(	PUNCT
cana-4829	15	24	knn	knn	PROPN
cana-4829	15	25	)	)	PUNCT
cana-4829	15	26	,	,	PUNCT
cana-4829	15	27	and	and	CCONJ
cana-4829	15	28	logistic	logistic	ADJ
cana-4829	15	29	regression	regression	NOUN
cana-4829	15	30	for	for	ADP
cana-4829	15	31	network	network	NOUN
cana-4829	15	32	traffic	traffic	NOUN
cana-4829	15	33	classification	classification	NOUN
cana-4829	15	34	.	.	PUNCT
cana-4829	16	1	network	network	NOUN
cana-4829	16	2	traffic	traffic	NOUN
cana-4829	16	3	data	datum	NOUN
cana-4829	16	4	was	be	AUX
cana-4829	16	5	preprocessed	preprocesse	VERB
cana-4829	16	6	to	to	PART
cana-4829	16	7	remove	remove	VERB
cana-4829	16	8	noise	noise	NOUN
cana-4829	16	9	and	and	CCONJ
cana-4829	16	10	enhance	enhance	VERB
cana-4829	16	11	feature	feature	NOUN
cana-4829	16	12	quality	quality	NOUN
cana-4829	16	13	.	.	PUNCT
cana-4829	17	1	the	the	DET
cana-4829	17	2	models	model	NOUN
cana-4829	17	3	were	be	AUX
cana-4829	17	4	trained	train	VERB
cana-4829	17	5	and	and	CCONJ
cana-4829	17	6	tested	test	VERB
cana-4829	17	7	using	use	VERB
cana-4829	17	8	a	a	DET
cana-4829	17	9	balanced	balanced	ADJ
cana-4829	17	10	dataset	dataset	NOUN
cana-4829	17	11	to	to	PART
cana-4829	17	12	ensure	ensure	VERB
cana-4829	17	13	robustness	robustness	NOUN
cana-4829	17	14	and	and	CCONJ
cana-4829	17	15	generalization	generalization	NOUN
cana-4829	17	16	.	.	PUNCT
cana-4829	18	1	performance	performance	NOUN
cana-4829	18	2	evaluation	evaluation	NOUN
cana-4829	18	3	was	be	AUX
cana-4829	18	4	conducted	conduct	VERB
cana-4829	18	5	using	use	VERB
cana-4829	18	6	precision	precision	NOUN
cana-4829	18	7	as	as	ADP
cana-4829	18	8	the	the	DET
cana-4829	18	9	primary	primary	ADJ
cana-4829	18	10	metric	metric	NOUN
cana-4829	18	11	.	.	PUNCT
cana-4829	19	1	svm	svm	PROPN
cana-4829	19	2	,	,	PUNCT
cana-4829	19	3	knn	knn	PROPN
cana-4829	19	4	,	,	PUNCT
cana-4829	19	5	and	and	CCONJ
cana-4829	19	6	logistic	logistic	ADJ
cana-4829	19	7	regression	regression	NOUN
cana-4829	19	8	were	be	AUX
cana-4829	19	9	tested	test	VERB
cana-4829	19	10	under	under	ADP
cana-4829	19	11	varying	vary	VERB
cana-4829	19	12	network	network	NOUN
cana-4829	19	13	conditions	condition	NOUN
cana-4829	19	14	to	to	PART
cana-4829	19	15	assess	assess	VERB
cana-4829	19	16	their	their	PRON
cana-4829	19	17	classification	classification	NOUN
cana-4829	19	18	efficiency	efficiency	NOUN
cana-4829	19	19	and	and	CCONJ
cana-4829	19	20	adaptability	adaptability	NOUN
cana-4829	19	21	.	.	PUNCT
cana-4829	20	1	results	result	NOUN
cana-4829	20	2	:	:	PUNCT
cana-4829	20	3	the	the	DET
cana-4829	20	4	results	result	NOUN
cana-4829	20	5	demonstrated	demonstrate	VERB
cana-4829	20	6	high	high	ADJ
cana-4829	20	7	classification	classification	NOUN
cana-4829	20	8	precision	precision	NOUN
cana-4829	20	9	across	across	ADP
cana-4829	20	10	the	the	DET
cana-4829	20	11	models	model	NOUN
cana-4829	20	12	.	.	PUNCT
cana-4829	21	1	svm	svm	PROPN
cana-4829	21	2	achieved	achieve	VERB
cana-4829	21	3	a	a	DET
cana-4829	21	4	precision	precision	NOUN
cana-4829	21	5	rate	rate	NOUN
cana-4829	21	6	of	of	ADP
cana-4829	21	7	99.30	99.30	NUM
cana-4829	21	8	%	%	NOUN
cana-4829	21	9	,	,	PUNCT
cana-4829	21	10	while	while	SCONJ
cana-4829	21	11	knn	knn	PROPN
cana-4829	21	12	and	and	CCONJ
cana-4829	21	13	logistic	logistic	ADJ
cana-4829	21	14	regression	regression	NOUN
cana-4829	21	15	achieved	achieve	VERB
cana-4829	21	16	precision	precision	NOUN
cana-4829	21	17	rates	rate	NOUN
cana-4829	21	18	of	of	ADP
cana-4829	21	19	99.92	99.92	NUM
cana-4829	21	20	%	%	NOUN
cana-4829	21	21	each	each	PRON
cana-4829	21	22	.	.	PUNCT
cana-4829	22	1	the	the	DET
cana-4829	22	2	high	high	ADJ
cana-4829	22	3	accuracy	accuracy	NOUN
cana-4829	22	4	rates	rate	NOUN
cana-4829	22	5	reflect	reflect	VERB
cana-4829	22	6	the	the	DET
cana-4829	22	7	scalability	scalability	NOUN
cana-4829	22	8	and	and	CCONJ
cana-4829	22	9	adaptability	adaptability	NOUN
cana-4829	22	10	of	of	ADP
cana-4829	22	11	these	these	DET
cana-4829	22	12	models	model	NOUN
cana-4829	22	13	in	in	ADP
cana-4829	22	14	handling	handle	VERB
cana-4829	22	15	complex	complex	ADJ
cana-4829	22	16	and	and	CCONJ
cana-4829	22	17	dynamic	dynamic	ADJ
cana-4829	22	18	network	network	NOUN
cana-4829	22	19	traffic	traffic	NOUN
cana-4829	22	20	patterns	pattern	NOUN
cana-4829	22	21	.	.	PUNCT
cana-4829	23	1	the	the	DET
cana-4829	23	2	models	model	NOUN
cana-4829	23	3	effectively	effectively	ADV
cana-4829	23	4	distinguished	distinguish	VERB
cana-4829	23	5	between	between	ADP
cana-4829	23	6	normal	normal	ADJ
cana-4829	23	7	and	and	CCONJ
cana-4829	23	8	anomalous	anomalous	ADJ
cana-4829	23	9	traffic	traffic	NOUN
cana-4829	23	10	,	,	PUNCT
cana-4829	23	11	enabling	enable	VERB
cana-4829	23	12	improved	improved	ADJ
cana-4829	23	13	network	network	NOUN
cana-4829	23	14	resource	resource	NOUN
cana-4829	23	15	management	management	NOUN
cana-4829	23	16	and	and	CCONJ
cana-4829	23	17	enhanced	enhance	VERB
cana-4829	23	18	security	security	NOUN
cana-4829	23	19	.	.	PUNCT
cana-4829	24	1	conclusions	conclusion	NOUN
cana-4829	24	2	:	:	PUNCT
cana-4829	24	3	the	the	DET
cana-4829	24	4	study	study	NOUN
cana-4829	24	5	highlights	highlight	VERB
cana-4829	24	6	the	the	DET
cana-4829	24	7	potential	potential	NOUN
cana-4829	24	8	of	of	ADP
cana-4829	24	9	machine	machine	NOUN
cana-4829	24	10	learning	learning	NOUN
cana-4829	24	11	in	in	ADP
cana-4829	24	12	improving	improve	VERB
cana-4829	24	13	network	network	NOUN
cana-4829	24	14	traffic	traffic	NOUN
cana-4829	24	15	classification	classification	NOUN
cana-4829	24	16	and	and	CCONJ
cana-4829	24	17	management	management	NOUN
cana-4829	24	18	.	.	PUNCT
cana-4829	25	1	the	the	DET
cana-4829	25	2	high	high	ADJ
cana-4829	25	3	precision	precision	NOUN
cana-4829	25	4	rates	rate	NOUN
cana-4829	25	5	achieved	achieve	VERB
cana-4829	25	6	by	by	ADP
cana-4829	25	7	the	the	DET
cana-4829	25	8	models	model	NOUN
cana-4829	25	9	mailto:1kannaiyaraju123@gmail.com	mailto:1kannaiyaraju123@gmail.com	X
cana-4829	25	10	file:///c:/users/smile/appdata/local/microsoft/windows/inetcache/ie/mosa77m9/kirithicraj@gmail.com	file:///c:/users/smile/appdata/local/microsoft/windows/inetcache/ie/mosa77m9/kirithicraj@gmail.com	PROPN
cana-4829	25	11	mailto:vijayaragavanpm83@gmail.com	mailto:vijayaragavanpm83@gmail.com	PROPN
cana-4829	25	12	mailto:antonyjosephjmj@gmail.com	mailto:antonyjosephjmj@gmail.com	PROPN
cana-4829	25	13	communications	communication	NOUN
cana-4829	25	14	on	on	ADP
cana-4829	25	15	applied	apply	VERB
cana-4829	25	16	nonlinear	nonlinear	ADJ
cana-4829	25	17	analysis	analysis	NOUN
cana-4829	25	18	issn	issn	NOUN
cana-4829	25	19	:	:	PUNCT
cana-4829	25	20	1074	1074	NUM
cana-4829	25	21	-	-	PUNCT
cana-4829	25	22	133x	133x	NUM
cana-4829	25	23	vol	vol	VERB
cana-4829	25	24	32	32	NUM
cana-4829	25	25	no	no	NOUN
cana-4829	25	26	.	.	PUNCT
cana-4829	26	1	10s	10	NOUN
cana-4829	26	2	(	(	PUNCT
cana-4829	26	3	2025	2025	NUM
cana-4829	26	4	)	)	PUNCT
cana-4829	26	5	360	360	NUM
cana-4829	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	26	7	demonstrate	demonstrate	VERB
cana-4829	26	8	their	their	PRON
cana-4829	26	9	capability	capability	NOUN
cana-4829	26	10	to	to	PART
cana-4829	26	11	handle	handle	VERB
cana-4829	26	12	complex	complex	ADJ
cana-4829	26	13	traffic	traffic	NOUN
cana-4829	26	14	patterns	pattern	NOUN
cana-4829	26	15	and	and	CCONJ
cana-4829	26	16	adapt	adapt	VERB
cana-4829	26	17	to	to	ADP
cana-4829	26	18	changing	change	VERB
cana-4829	26	19	network	network	NOUN
cana-4829	26	20	conditions	condition	NOUN
cana-4829	26	21	.	.	PUNCT
cana-4829	27	1	the	the	DET
cana-4829	27	2	research	research	NOUN
cana-4829	27	3	establishes	establish	VERB
cana-4829	27	4	a	a	DET
cana-4829	27	5	foundation	foundation	NOUN
cana-4829	27	6	for	for	ADP
cana-4829	27	7	future	future	ADJ
cana-4829	27	8	work	work	NOUN
cana-4829	27	9	on	on	ADP
cana-4829	27	10	intelligent	intelligent	ADJ
cana-4829	27	11	and	and	CCONJ
cana-4829	27	12	secure	secure	ADJ
cana-4829	27	13	network	network	NOUN
cana-4829	27	14	administration	administration	NOUN
cana-4829	27	15	using	use	VERB
cana-4829	27	16	machine	machine	NOUN
cana-4829	27	17	learning	learning	NOUN
cana-4829	27	18	,	,	PUNCT
cana-4829	27	19	offering	offer	VERB
cana-4829	27	20	a	a	DET
cana-4829	27	21	scalable	scalable	ADJ
cana-4829	27	22	and	and	CCONJ
cana-4829	27	23	efficient	efficient	ADJ
cana-4829	27	24	approach	approach	NOUN
cana-4829	27	25	to	to	ADP
cana-4829	27	26	network	network	NOUN
cana-4829	27	27	resource	resource	NOUN
cana-4829	27	28	optimization	optimization	NOUN
cana-4829	27	29	and	and	CCONJ
cana-4829	27	30	anomaly	anomaly	NOUN
cana-4829	27	31	detection	detection	NOUN
cana-4829	27	32	keywords	keyword	NOUN
cana-4829	27	33	:	:	PUNCT
cana-4829	27	34	network	network	NOUN
cana-4829	27	35	traffic	traffic	NOUN
cana-4829	27	36	classification	classification	NOUN
cana-4829	27	37	,	,	PUNCT
cana-4829	27	38	machine	machine	NOUN
cana-4829	27	39	learning	learning	NOUN
cana-4829	27	40	,	,	PUNCT
cana-4829	27	41	support	support	VERB
cana-4829	27	42	vector	vector	NOUN
cana-4829	27	43	machines	machine	NOUN
cana-4829	27	44	,	,	PUNCT
cana-4829	27	45	k	k	X
cana-4829	27	46	-	-	PUNCT
cana-4829	27	47	nearest	near	ADJ
cana-4829	27	48	neighbors	neighbor	NOUN
cana-4829	27	49	,	,	PUNCT
cana-4829	27	50	logistic	logistic	ADJ
cana-4829	27	51	regression	regression	NOUN
cana-4829	27	52	,	,	PUNCT
cana-4829	27	53	network	network	NOUN
cana-4829	27	54	security	security	NOUN
cana-4829	27	55	,	,	PUNCT
cana-4829	27	56	resource	resource	NOUN
cana-4829	27	57	optimization	optimization	NOUN
cana-4829	27	58	,	,	PUNCT
cana-4829	27	59	traffic	traffic	NOUN
cana-4829	27	60	pattern	pattern	NOUN
cana-4829	27	61	analysis	analysis	NOUN
cana-4829	27	62	.	.	PUNCT
cana-4829	28	1	1	1	X
cana-4829	28	2	.	.	X
cana-4829	28	3	introduction	introduction	NOUN
cana-4829	28	4	efficient	efficient	ADJ
cana-4829	28	5	network	network	NOUN
cana-4829	28	6	traffic	traffic	NOUN
cana-4829	28	7	classification	classification	NOUN
cana-4829	28	8	is	be	AUX
cana-4829	28	9	crucial	crucial	ADJ
cana-4829	28	10	in	in	ADP
cana-4829	28	11	today	today	NOUN
cana-4829	28	12	's	's	PART
cana-4829	28	13	network	network	NOUN
cana-4829	28	14	administration	administration	NOUN
cana-4829	28	15	,	,	PUNCT
cana-4829	28	16	ensuring	ensure	VERB
cana-4829	28	17	operational	operational	ADJ
cana-4829	28	18	efficiency	efficiency	NOUN
cana-4829	28	19	,	,	PUNCT
cana-4829	28	20	efficient	efficient	ADJ
cana-4829	28	21	usage	usage	NOUN
cana-4829	28	22	of	of	ADP
cana-4829	28	23	resources	resource	NOUN
cana-4829	28	24	,	,	PUNCT
cana-4829	28	25	and	and	CCONJ
cana-4829	28	26	enhanced	enhance	VERB
cana-4829	28	27	protection	protection	NOUN
cana-4829	28	28	against	against	ADP
cana-4829	28	29	threats	threat	NOUN
cana-4829	28	30	[	[	X
cana-4829	28	31	1	1	NUM
cana-4829	28	32	]	]	PUNCT
cana-4829	28	33	.	.	PUNCT
cana-4829	29	1	the	the	DET
cana-4829	29	2	sudden	sudden	ADJ
cana-4829	29	3	boost	boost	NOUN
cana-4829	29	4	in	in	ADP
cana-4829	29	5	demand	demand	NOUN
cana-4829	29	6	and	and	CCONJ
cana-4829	29	7	diversification	diversification	NOUN
cana-4829	29	8	in	in	ADP
cana-4829	29	9	applications	application	NOUN
cana-4829	29	10	and	and	CCONJ
cana-4829	29	11	services	service	NOUN
cana-4829	29	12	has	have	AUX
cana-4829	29	13	added	add	VERB
cana-4829	29	14	unprecedented	unprecedented	ADJ
cana-4829	29	15	complexity	complexity	NOUN
cana-4829	29	16	in	in	ADP
cana-4829	29	17	traffic	traffic	NOUN
cana-4829	29	18	patterns	pattern	NOUN
cana-4829	29	19	[	[	X
cana-4829	29	20	2	2	NUM
cana-4829	29	21	]	]	PUNCT
cana-4829	29	22	.	.	PUNCT
cana-4829	30	1	traditional	traditional	ADJ
cana-4829	30	2	network	network	NOUN
cana-4829	30	3	administration	administration	NOUN
cana-4829	30	4	approaches	approach	NOUN
cana-4829	30	5	are	be	AUX
cana-4829	30	6	not	not	PART
cana-4829	30	7	efficient	efficient	ADJ
cana-4829	30	8	in	in	ADP
cana-4829	30	9	satisfying	satisfy	VERB
cana-4829	30	10	these	these	DET
cana-4829	30	11	complex	complex	ADJ
cana-4829	30	12	and	and	CCONJ
cana-4829	30	13	dynamic	dynamic	ADJ
cana-4829	30	14	patterns	pattern	NOUN
cana-4829	30	15	,	,	PUNCT
cana-4829	30	16	and	and	CCONJ
cana-4829	30	17	there	there	PRON
cana-4829	30	18	is	be	VERB
cana-4829	30	19	a	a	DET
cana-4829	30	20	requirement	requirement	NOUN
cana-4829	30	21	in	in	ADP
cana-4829	30	22	designing	design	VERB
cana-4829	30	23	better	well	ADJ
cana-4829	30	24	classification	classification	NOUN
cana-4829	30	25	and	and	CCONJ
cana-4829	30	26	forecasting	forecasting	NOUN
cana-4829	30	27	approaches	approach	NOUN
cana-4829	30	28	[	[	X
cana-4829	30	29	3	3	NUM
cana-4829	30	30	]	]	PUNCT
cana-4829	30	31	.	.	PUNCT
cana-4829	31	1	the	the	DET
cana-4829	31	2	research	research	NOUN
cana-4829	31	3	in	in	ADP
cana-4829	31	4	this	this	DET
cana-4829	31	5	paper	paper	NOUN
cana-4829	31	6	focuses	focus	VERB
cana-4829	31	7	on	on	ADP
cana-4829	31	8	utilizing	utilize	VERB
cana-4829	31	9	state	state	NOUN
cana-4829	31	10	-	-	PUNCT
cana-4829	31	11	ofthe	ofthe	NOUN
cana-4829	31	12	-	-	PUNCT
cana-4829	31	13	art	art	NOUN
cana-4829	31	14	machine	machine	NOUN
cana-4829	31	15	learning	learning	NOUN
cana-4829	31	16	approaches	approach	NOUN
cana-4829	31	17	in	in	ADP
cana-4829	31	18	satisfying	satisfy	VERB
cana-4829	31	19	the	the	DET
cana-4829	31	20	complexity	complexity	NOUN
cana-4829	31	21	in	in	ADP
cana-4829	31	22	network	network	NOUN
cana-4829	31	23	traffic	traffic	NOUN
cana-4829	31	24	classification	classification	NOUN
cana-4829	31	25	.	.	PUNCT
cana-4829	32	1	machine	machine	NOUN
cana-4829	32	2	learning	learning	NOUN
cana-4829	32	3	has	have	AUX
cana-4829	32	4	been	be	AUX
cana-4829	32	5	extremely	extremely	ADV
cana-4829	32	6	efficient	efficient	ADJ
cana-4829	32	7	in	in	ADP
cana-4829	32	8	detecting	detect	VERB
cana-4829	32	9	patterns	pattern	NOUN
cana-4829	32	10	,	,	PUNCT
cana-4829	32	11	evolving	evolve	VERB
cana-4829	32	12	with	with	ADP
cana-4829	32	13	varying	vary	VERB
cana-4829	32	14	situations	situation	NOUN
cana-4829	32	15	,	,	PUNCT
cana-4829	32	16	and	and	CCONJ
cana-4829	32	17	achieving	achieve	VERB
cana-4829	32	18	high	high	ADJ
cana-4829	32	19	classification	classification	NOUN
cana-4829	32	20	performance	performance	NOUN
cana-4829	32	21	[	[	X
cana-4829	32	22	4	4	NUM
cana-4829	32	23	]	]	PUNCT
cana-4829	32	24	.	.	PUNCT
cana-4829	33	1	in	in	ADP
cana-4829	33	2	this	this	DET
cana-4829	33	3	research	research	NOUN
cana-4829	33	4	,	,	PUNCT
cana-4829	33	5	three	three	NUM
cana-4829	33	6	top	top	ADJ
cana-4829	33	7	algorithms	algorithm	NOUN
cana-4829	33	8	such	such	ADJ
cana-4829	33	9	as	as	ADP
cana-4829	33	10	support	support	NOUN
cana-4829	33	11	vector	vector	NOUN
cana-4829	33	12	machines	machine	NOUN
cana-4829	33	13	(	(	PUNCT
cana-4829	33	14	svm	svm	PROPN
cana-4829	33	15	)	)	PUNCT
cana-4829	33	16	,	,	PUNCT
cana-4829	33	17	k	k	X
cana-4829	33	18	-	-	PUNCT
cana-4829	33	19	nearest	near	ADJ
cana-4829	33	20	neighbors	neighbor	NOUN
cana-4829	33	21	(	(	PUNCT
cana-4829	33	22	knn	knn	PROPN
cana-4829	33	23	)	)	PUNCT
cana-4829	33	24	,	,	PUNCT
cana-4829	33	25	and	and	CCONJ
cana-4829	33	26	logistic	logistic	ADJ
cana-4829	33	27	regression	regression	NOUN
cana-4829	33	28	are	be	AUX
cana-4829	33	29	investigated	investigate	VERB
cana-4829	33	30	based	base	VERB
cana-4829	33	31	on	on	ADP
cana-4829	33	32	their	their	PRON
cana-4829	33	33	performance	performance	NOUN
cana-4829	33	34	in	in	ADP
cana-4829	33	35	correctly	correctly	ADV
cana-4829	33	36	categorizing	categorize	VERB
cana-4829	33	37	network	network	NOUN
cana-4829	33	38	traffic	traffic	NOUN
cana-4829	33	39	.	.	PUNCT
cana-4829	34	1	these	these	DET
cana-4829	34	2	models	model	NOUN
cana-4829	34	3	are	be	AUX
cana-4829	34	4	selected	select	VERB
cana-4829	34	5	based	base	VERB
cana-4829	34	6	on	on	ADP
cana-4829	34	7	their	their	PRON
cana-4829	34	8	proven	prove	VERB
cana-4829	34	9	performance	performance	NOUN
cana-4829	34	10	in	in	ADP
cana-4829	34	11	detecting	detect	VERB
cana-4829	34	12	patterns	pattern	NOUN
cana-4829	34	13	and	and	CCONJ
cana-4829	34	14	evolving	evolve	VERB
cana-4829	34	15	with	with	ADP
cana-4829	34	16	varying	vary	VERB
cana-4829	34	17	network	network	NOUN
cana-4829	34	18	conditions	condition	NOUN
cana-4829	34	19	[	[	X
cana-4829	34	20	5	5	NUM
cana-4829	34	21	]	]	PUNCT
cana-4829	34	22	.	.	PUNCT
cana-4829	35	1	the	the	DET
cana-4829	35	2	research	research	NOUN
cana-4829	35	3	demonstrates	demonstrate	VERB
cana-4829	35	4	how	how	SCONJ
cana-4829	35	5	svm	svm	PROPN
cana-4829	35	6	achieves	achieve	VERB
cana-4829	35	7	a	a	DET
cana-4829	35	8	precision	precision	NOUN
cana-4829	35	9	rate	rate	NOUN
cana-4829	35	10	of	of	ADP
cana-4829	35	11	99.30	99.30	NUM
cana-4829	35	12	%	%	NOUN
cana-4829	35	13	,	,	PUNCT
cana-4829	35	14	with	with	ADP
cana-4829	35	15	knn	knn	PROPN
cana-4829	35	16	and	and	CCONJ
cana-4829	35	17	logistic	logistic	ADJ
cana-4829	35	18	regression	regression	NOUN
cana-4829	35	19	achieving	achieve	VERB
cana-4829	35	20	a	a	DET
cana-4829	35	21	staggering	staggering	ADJ
cana-4829	35	22	99.92	99.92	NUM
cana-4829	35	23	%	%	NOUN
cana-4829	35	24	[	[	X
cana-4829	35	25	6	6	NUM
cana-4829	35	26	]	]	PUNCT
cana-4829	35	27	.	.	PUNCT
cana-4829	36	1	the	the	DET
cana-4829	36	2	results	result	NOUN
cana-4829	36	3	underscore	underscore	VERB
cana-4829	36	4	the	the	DET
cana-4829	36	5	strength	strength	NOUN
cana-4829	36	6	of	of	ADP
cana-4829	36	7	these	these	DET
cana-4829	36	8	machine	machine	NOUN
cana-4829	36	9	learning	learning	NOUN
cana-4829	36	10	models	model	NOUN
cana-4829	36	11	in	in	ADP
cana-4829	36	12	dealing	deal	VERB
cana-4829	36	13	with	with	ADP
cana-4829	36	14	the	the	DET
cana-4829	36	15	volatility	volatility	NOUN
cana-4829	36	16	and	and	CCONJ
cana-4829	36	17	unpredictability	unpredictability	NOUN
cana-4829	36	18	of	of	ADP
cana-4829	36	19	network	network	NOUN
cana-4829	36	20	traffic	traffic	NOUN
cana-4829	36	21	.	.	PUNCT
cana-4829	37	1	accurately	accurately	ADV
cana-4829	37	2	classifying	classify	VERB
cana-4829	37	3	traffic	traffic	NOUN
cana-4829	37	4	,	,	PUNCT
cana-4829	37	5	these	these	DET
cana-4829	37	6	models	model	NOUN
cana-4829	37	7	guide	guide	VERB
cana-4829	37	8	network	network	NOUN
cana-4829	37	9	administrators	administrator	NOUN
cana-4829	37	10	on	on	ADP
cana-4829	37	11	bandwidth	bandwidth	ADJ
cana-4829	37	12	allocation	allocation	NOUN
cana-4829	37	13	,	,	PUNCT
cana-4829	37	14	congestion	congestion	NOUN
cana-4829	37	15	avoidance	avoidance	NOUN
cana-4829	37	16	,	,	PUNCT
cana-4829	37	17	and	and	CCONJ
cana-4829	37	18	service	service	NOUN
cana-4829	37	19	prioritization	prioritization	NOUN
cana-4829	37	20	,	,	PUNCT
cana-4829	37	21	ultimately	ultimately	ADV
cana-4829	37	22	optimizing	optimize	VERB
cana-4829	37	23	network	network	NOUN
cana-4829	37	24	performance	performance	NOUN
cana-4829	37	25	and	and	CCONJ
cana-4829	37	26	security	security	NOUN
cana-4829	37	27	[	[	X
cana-4829	37	28	7	7	NUM
cana-4829	37	29	]	]	PUNCT
cana-4829	37	30	.	.	PUNCT
cana-4829	38	1	aside	aside	ADV
cana-4829	38	2	from	from	ADP
cana-4829	38	3	classification	classification	NOUN
cana-4829	38	4	,	,	PUNCT
cana-4829	38	5	predicting	predict	VERB
cana-4829	38	6	network	network	NOUN
cana-4829	38	7	traffic	traffic	NOUN
cana-4829	38	8	is	be	AUX
cana-4829	38	9	important	important	ADJ
cana-4829	38	10	in	in	ADP
cana-4829	38	11	order	order	NOUN
cana-4829	38	12	to	to	PART
cana-4829	38	13	proactively	proactively	ADV
cana-4829	38	14	manage	manage	VERB
cana-4829	38	15	and	and	CCONJ
cana-4829	38	16	optimize	optimize	VERB
cana-4829	38	17	resources	resource	NOUN
cana-4829	38	18	[	[	X
cana-4829	38	19	8	8	NUM
cana-4829	38	20	]	]	PUNCT
cana-4829	38	21	.	.	PUNCT
cana-4829	39	1	more	more	ADJ
cana-4829	39	2	complex	complex	ADJ
cana-4829	39	3	models	model	NOUN
cana-4829	39	4	,	,	PUNCT
cana-4829	39	5	like	like	ADP
cana-4829	39	6	enhanced	enhanced	ADJ
cana-4829	39	7	autoregressive	autoregressive	ADJ
cana-4829	39	8	integrated	integrated	ADJ
cana-4829	39	9	moving	move	VERB
cana-4829	39	10	average	average	NOUN
cana-4829	39	11	(	(	PUNCT
cana-4829	39	12	arima	arima	PROPN
cana-4829	39	13	)	)	PUNCT
cana-4829	39	14	,	,	PUNCT
cana-4829	39	15	are	be	AUX
cana-4829	39	16	instrumental	instrumental	ADJ
cana-4829	39	17	in	in	ADP
cana-4829	39	18	predicting	predict	VERB
cana-4829	39	19	future	future	ADJ
cana-4829	39	20	traffic	traffic	NOUN
cana-4829	39	21	trends	trend	NOUN
cana-4829	39	22	.	.	PUNCT
cana-4829	40	1	incorporating	incorporate	VERB
cana-4829	40	2	historical	historical	ADJ
cana-4829	40	3	data	datum	NOUN
cana-4829	40	4	,	,	PUNCT
cana-4829	40	5	time	time	NOUN
cana-4829	40	6	series	series	PROPN
cana-4829	40	7	forecasting	forecasting	NOUN
cana-4829	40	8	,	,	PUNCT
cana-4829	40	9	and	and	CCONJ
cana-4829	40	10	external	external	ADJ
cana-4829	40	11	influencing	influence	VERB
cana-4829	40	12	factors	factor	NOUN
cana-4829	40	13	,	,	PUNCT
cana-4829	40	14	enhanced	enhance	VERB
cana-4829	40	15	arima	arima	NOUN
cana-4829	40	16	models	model	NOUN
cana-4829	40	17	can	can	AUX
cana-4829	40	18	recognize	recognize	VERB
cana-4829	40	19	seasonal	seasonal	ADJ
cana-4829	40	20	trends	trend	NOUN
cana-4829	40	21	and	and	CCONJ
cana-4829	40	22	oscillating	oscillate	VERB
cana-4829	40	23	shifts	shift	NOUN
cana-4829	40	24	in	in	ADP
cana-4829	40	25	traffic	traffic	NOUN
cana-4829	40	26	,	,	PUNCT
cana-4829	40	27	achieving	achieve	VERB
cana-4829	40	28	high	high	ADJ
cana-4829	40	29	forecast	forecast	NOUN
cana-4829	40	30	accuracy	accuracy	NOUN
cana-4829	40	31	[	[	X
cana-4829	40	32	9	9	NUM
cana-4829	40	33	]	]	PUNCT
cana-4829	40	34	.	.	PUNCT
cana-4829	41	1	the	the	DET
cana-4829	41	2	research	research	NOUN
cana-4829	41	3	demonstrates	demonstrate	VERB
cana-4829	41	4	how	how	SCONJ
cana-4829	41	5	combining	combine	VERB
cana-4829	41	6	machine	machine	NOUN
cana-4829	41	7	learning	learning	NOUN
cana-4829	41	8	strategies	strategy	NOUN
cana-4829	41	9	with	with	ADP
cana-4829	41	10	advanced	advanced	ADJ
cana-4829	41	11	statistical	statistical	ADJ
cana-4829	41	12	models	model	NOUN
cana-4829	41	13	can	can	AUX
cana-4829	41	14	potentially	potentially	ADV
cana-4829	41	15	transform	transform	VERB
cana-4829	41	16	network	network	NOUN
cana-4829	41	17	management	management	NOUN
cana-4829	41	18	[	[	X
cana-4829	41	19	10	10	NUM
cana-4829	41	20	]	]	PUNCT
cana-4829	41	21	.	.	PUNCT
cana-4829	42	1	these	these	DET
cana-4829	42	2	techniques	technique	NOUN
cana-4829	42	3	provide	provide	VERB
cana-4829	42	4	scalable	scalable	ADJ
cana-4829	42	5	and	and	CCONJ
cana-4829	42	6	agile	agile	ADJ
cana-4829	42	7	solutions	solution	NOUN
cana-4829	42	8	in	in	ADP
cana-4829	42	9	line	line	NOUN
cana-4829	42	10	with	with	ADP
cana-4829	42	11	the	the	DET
cana-4829	42	12	exigencies	exigency	NOUN
cana-4829	42	13	of	of	ADP
cana-4829	42	14	modern	modern	ADJ
cana-4829	42	15	,	,	PUNCT
cana-4829	42	16	high	high	ADJ
cana-4829	42	17	-	-	PUNCT
cana-4829	42	18	data	data	NOUN
cana-4829	42	19	-	-	PUNCT
cana-4829	42	20	volume	volume	NOUN
cana-4829	42	21	contexts	contexts	NOUN
cana-4829	42	22	.	.	PUNCT
cana-4829	43	1	overcoming	overcome	VERB
cana-4829	43	2	challenges	challenge	NOUN
cana-4829	43	3	like	like	ADP
cana-4829	43	4	nonlinear	nonlinear	ADJ
cana-4829	43	5	traffic	traffic	NOUN
cana-4829	43	6	dynamics	dynamic	NOUN
cana-4829	43	7	,	,	PUNCT
cana-4829	43	8	resource	resource	NOUN
cana-4829	43	9	depletion	depletion	NOUN
cana-4829	43	10	,	,	PUNCT
cana-4829	43	11	and	and	CCONJ
cana-4829	43	12	security	security	NOUN
cana-4829	43	13	vulnerabilities	vulnerability	NOUN
cana-4829	43	14	,	,	PUNCT
cana-4829	43	15	the	the	DET
cana-4829	43	16	research	research	NOUN
cana-4829	43	17	sets	set	VERB
cana-4829	43	18	the	the	DET
cana-4829	43	19	groundwork	groundwork	NOUN
cana-4829	43	20	for	for	ADP
cana-4829	43	21	intelligent	intelligent	ADJ
cana-4829	43	22	,	,	PUNCT
cana-4829	43	23	efficient	efficient	ADJ
cana-4829	43	24	,	,	PUNCT
cana-4829	43	25	and	and	CCONJ
cana-4829	43	26	secure	secure	VERB
cana-4829	43	27	network	network	NOUN
cana-4829	43	28	operations	operation	NOUN
cana-4829	43	29	in	in	ADP
cana-4829	43	30	an	an	DET
cana-4829	43	31	interconnected	interconnected	ADJ
cana-4829	43	32	world	world	NOUN
cana-4829	43	33	.	.	PUNCT
cana-4829	44	1	this	this	DET
cana-4829	44	2	paper	paper	NOUN
cana-4829	44	3	is	be	AUX
cana-4829	44	4	organized	organize	VERB
cana-4829	44	5	in	in	ADP
cana-4829	44	6	the	the	DET
cana-4829	44	7	following	following	ADJ
cana-4829	44	8	way	way	NOUN
cana-4829	44	9	:	:	PUNCT
cana-4829	44	10	section	section	NOUN
cana-4829	44	11	2	2	NUM
cana-4829	44	12	overviews	overview	NOUN
cana-4829	44	13	relevant	relevant	ADJ
cana-4829	44	14	literature	literature	NOUN
cana-4829	44	15	on	on	ADP
cana-4829	44	16	network	network	NOUN
cana-4829	44	17	traffic	traffic	NOUN
cana-4829	44	18	classification	classification	NOUN
cana-4829	44	19	and	and	CCONJ
cana-4829	44	20	the	the	DET
cana-4829	44	21	establishment	establishment	NOUN
cana-4829	44	22	and	and	CCONJ
cana-4829	44	23	implementation	implementation	NOUN
cana-4829	44	24	in	in	ADP
cana-4829	44	25	modern	modern	ADJ
cana-4829	44	26	network	network	NOUN
cana-4829	44	27	conditions	condition	NOUN
cana-4829	44	28	of	of	ADP
cana-4829	44	29	machine	machine	NOUN
cana-4829	44	30	learning	learning	NOUN
cana-4829	44	31	-	-	PUNCT
cana-4829	44	32	based	base	VERB
cana-4829	44	33	methods	method	NOUN
cana-4829	44	34	.	.	PUNCT
cana-4829	45	1	section	section	NOUN
cana-4829	45	2	3	3	NUM
cana-4829	45	3	overviews	overview	NOUN
cana-4829	45	4	problems	problem	NOUN
cana-4829	45	5	in	in	ADP
cana-4829	45	6	traffic	traffic	NOUN
cana-4829	45	7	classification	classification	NOUN
cana-4829	45	8	,	,	PUNCT
cana-4829	45	9	such	such	ADJ
cana-4829	45	10	as	as	ADP
cana-4829	45	11	complexity	complexity	NOUN
cana-4829	45	12	in	in	ADP
cana-4829	45	13	the	the	DET
cana-4829	45	14	dynamics	dynamic	NOUN
cana-4829	45	15	of	of	ADP
cana-4829	45	16	traffic	traffic	NOUN
cana-4829	45	17	,	,	PUNCT
cana-4829	45	18	resources	resource	NOUN
cana-4829	45	19	constraint	constraint	NOUN
cana-4829	45	20	,	,	PUNCT
cana-4829	45	21	and	and	CCONJ
cana-4829	45	22	threats	threat	NOUN
cana-4829	45	23	in	in	ADP
cana-4829	45	24	real	real	ADJ
cana-4829	45	25	-	-	PUNCT
cana-4829	45	26	world	world	NOUN
cana-4829	45	27	conditions	condition	NOUN
cana-4829	45	28	.	.	PUNCT
cana-4829	46	1	section	section	NOUN
cana-4829	46	2	4	4	NUM
cana-4829	46	3	outlines	outline	VERB
cana-4829	46	4	communications	communication	NOUN
cana-4829	46	5	on	on	ADP
cana-4829	46	6	applied	apply	VERB
cana-4829	46	7	nonlinear	nonlinear	ADJ
cana-4829	46	8	analysis	analysis	NOUN
cana-4829	46	9	issn	issn	NOUN
cana-4829	46	10	:	:	PUNCT
cana-4829	46	11	1074	1074	NUM
cana-4829	46	12	-	-	PUNCT
cana-4829	46	13	133x	133x	NUM
cana-4829	46	14	vol	vol	VERB
cana-4829	46	15	32	32	NUM
cana-4829	46	16	no	no	NOUN
cana-4829	46	17	.	.	PUNCT
cana-4829	47	1	10s	10	NOUN
cana-4829	47	2	(	(	PUNCT
cana-4829	47	3	2025	2025	NUM
cana-4829	47	4	)	)	PUNCT
cana-4829	47	5	361	361	NUM
cana-4829	47	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	47	7	the	the	DET
cana-4829	47	8	method	method	NOUN
cana-4829	47	9	,	,	PUNCT
cana-4829	47	10	such	such	ADJ
cana-4829	47	11	as	as	ADP
cana-4829	47	12	data	data	NOUN
cana-4829	47	13	harvesting	harvesting	NOUN
cana-4829	47	14	,	,	PUNCT
cana-4829	47	15	preprocessing	preprocessing	NOUN
cana-4829	47	16	,	,	PUNCT
cana-4829	47	17	feature	feature	NOUN
cana-4829	47	18	extraction	extraction	NOUN
cana-4829	47	19	,	,	PUNCT
cana-4829	47	20	and	and	CCONJ
cana-4829	47	21	design	design	NOUN
cana-4829	47	22	of	of	ADP
cana-4829	47	23	classification	classification	NOUN
cana-4829	47	24	models	model	NOUN
cana-4829	47	25	based	base	VERB
cana-4829	47	26	on	on	ADP
cana-4829	47	27	state	state	NOUN
cana-4829	47	28	-	-	PUNCT
cana-4829	47	29	of	of	ADP
cana-4829	47	30	-	-	PUNCT
cana-4829	47	31	the	the	DET
cana-4829	47	32	-	-	PUNCT
cana-4829	47	33	art	art	NOUN
cana-4829	47	34	machine	machine	NOUN
cana-4829	47	35	learning	learning	NOUN
cana-4829	47	36	methods	method	NOUN
cana-4829	47	37	.	.	PUNCT
cana-4829	48	1	section	section	NOUN
cana-4829	48	2	5	5	NUM
cana-4829	48	3	shows	show	VERB
cana-4829	48	4	results	result	NOUN
cana-4829	48	5	in	in	ADP
cana-4829	48	6	experiments	experiment	NOUN
cana-4829	48	7	in	in	ADP
cana-4829	48	8	comparing	compare	VERB
cana-4829	48	9	and	and	CCONJ
cana-4829	48	10	analyzing	analyze	VERB
cana-4829	48	11	the	the	DET
cana-4829	48	12	performance	performance	NOUN
cana-4829	48	13	and	and	CCONJ
cana-4829	48	14	adaptability	adaptability	NOUN
cana-4829	48	15	of	of	ADP
cana-4829	48	16	the	the	DET
cana-4829	48	17	models	model	NOUN
cana-4829	48	18	and	and	CCONJ
cana-4829	48	19	state	state	NOUN
cana-4829	48	20	-	-	PUNCT
cana-4829	48	21	of	of	ADP
cana-4829	48	22	-	-	PUNCT
cana-4829	48	23	the	the	DET
cana-4829	48	24	-	-	PUNCT
cana-4829	48	25	art	art	NOUN
cana-4829	48	26	methods	method	NOUN
cana-4829	48	27	.	.	PUNCT
cana-4829	49	1	section	section	NOUN
cana-4829	49	2	6	6	NUM
cana-4829	49	3	summarizes	summarize	NOUN
cana-4829	49	4	the	the	DET
cana-4829	49	5	research	research	NOUN
cana-4829	49	6	and	and	CCONJ
cana-4829	49	7	outlines	outline	VERB
cana-4829	49	8	future	future	ADJ
cana-4829	49	9	research	research	NOUN
cana-4829	49	10	directions	direction	NOUN
cana-4829	49	11	in	in	ADP
cana-4829	49	12	advancing	advance	VERB
cana-4829	49	13	network	network	NOUN
cana-4829	49	14	traffic	traffic	NOUN
cana-4829	49	15	classification	classification	NOUN
cana-4829	49	16	in	in	ADP
cana-4829	49	17	increasingly	increasingly	ADV
cana-4829	49	18	complex	complex	ADJ
cana-4829	49	19	digital	digital	ADJ
cana-4829	49	20	conditions	condition	NOUN
cana-4829	49	21	.	.	PUNCT
cana-4829	50	1	figure	figure	NOUN
cana-4829	50	2	–	–	PUNCT
cana-4829	50	3	1	1	NUM
cana-4829	50	4	shows	show	VERB
cana-4829	50	5	a	a	DET
cana-4829	50	6	high	high	ADJ
cana-4829	50	7	-	-	PUNCT
cana-4829	50	8	level	level	NOUN
cana-4829	50	9	process	process	NOUN
cana-4829	50	10	for	for	ADP
cana-4829	50	11	a	a	DET
cana-4829	50	12	network	network	NOUN
cana-4829	50	13	traffic	traffic	NOUN
cana-4829	50	14	classification	classification	NOUN
cana-4829	50	15	system	system	NOUN
cana-4829	50	16	using	use	VERB
cana-4829	50	17	machine	machine	NOUN
cana-4829	50	18	learning	learning	NOUN
cana-4829	50	19	.	.	PUNCT
cana-4829	51	1	the	the	DET
cana-4829	51	2	process	process	NOUN
cana-4829	51	3	begins	begin	VERB
cana-4829	51	4	with	with	ADP
cana-4829	51	5	raw	raw	ADJ
cana-4829	51	6	data	data	NOUN
cana-4829	51	7	collection	collection	NOUN
cana-4829	51	8	in	in	ADP
cana-4829	51	9	terms	term	NOUN
cana-4829	51	10	of	of	ADP
cana-4829	51	11	network	network	NOUN
cana-4829	51	12	traffic	traffic	NOUN
cana-4829	51	13	logs	log	NOUN
cana-4829	51	14	with	with	ADP
cana-4829	51	15	features	feature	NOUN
cana-4829	51	16	like	like	ADP
cana-4829	51	17	packet	packet	NOUN
cana-4829	51	18	length	length	NOUN
cana-4829	51	19	,	,	PUNCT
cana-4829	51	20	protocols	protocol	NOUN
cana-4829	51	21	,	,	PUNCT
cana-4829	51	22	and	and	CCONJ
cana-4829	51	23	durations	duration	NOUN
cana-4829	51	24	.	.	PUNCT
cana-4829	52	1	the	the	DET
cana-4829	52	2	data	datum	NOUN
cana-4829	52	3	collected	collect	VERB
cana-4829	52	4	is	be	AUX
cana-4829	52	5	preprocessed	preprocesse	VERB
cana-4829	52	6	in	in	ADP
cana-4829	52	7	order	order	NOUN
cana-4829	52	8	to	to	PART
cana-4829	52	9	remove	remove	VERB
cana-4829	52	10	noise	noise	NOUN
cana-4829	52	11	,	,	PUNCT
cana-4829	52	12	handle	handle	VERB
cana-4829	52	13	missing	miss	VERB
cana-4829	52	14	information	information	NOUN
cana-4829	52	15	,	,	PUNCT
cana-4829	52	16	and	and	CCONJ
cana-4829	52	17	scale	scale	VERB
cana-4829	52	18	the	the	DET
cana-4829	52	19	information	information	NOUN
cana-4829	52	20	so	so	SCONJ
cana-4829	52	21	that	that	SCONJ
cana-4829	52	22	it	it	PRON
cana-4829	52	23	is	be	AUX
cana-4829	52	24	apt	apt	ADJ
cana-4829	52	25	for	for	ADP
cana-4829	52	26	feature	feature	NOUN
cana-4829	52	27	extraction	extraction	NOUN
cana-4829	52	28	.	.	PUNCT
cana-4829	53	1	the	the	DET
cana-4829	53	2	features	feature	NOUN
cana-4829	53	3	that	that	PRON
cana-4829	53	4	are	be	AUX
cana-4829	53	5	pertinent	pertinent	ADJ
cana-4829	53	6	to	to	ADP
cana-4829	53	7	classification	classification	NOUN
cana-4829	53	8	are	be	AUX
cana-4829	53	9	determined	determine	VERB
cana-4829	53	10	and	and	CCONJ
cana-4829	53	11	are	be	AUX
cana-4829	53	12	used	use	VERB
cana-4829	53	13	in	in	ADP
cana-4829	53	14	order	order	NOUN
cana-4829	53	15	to	to	PART
cana-4829	53	16	determine	determine	VERB
cana-4829	53	17	important	important	ADJ
cana-4829	53	18	features	feature	NOUN
cana-4829	53	19	like	like	ADP
cana-4829	53	20	the	the	DET
cana-4829	53	21	type	type	NOUN
cana-4829	53	22	of	of	ADP
cana-4829	53	23	protocol	protocol	NOUN
cana-4829	53	24	,	,	PUNCT
cana-4829	53	25	length	length	NOUN
cana-4829	53	26	of	of	ADP
cana-4829	53	27	a	a	DET
cana-4829	53	28	packet	packet	NOUN
cana-4829	53	29	,	,	PUNCT
cana-4829	53	30	and	and	CCONJ
cana-4829	53	31	the	the	DET
cana-4829	53	32	statistics	statistic	NOUN
cana-4829	53	33	on	on	ADP
cana-4829	53	34	a	a	DET
cana-4829	53	35	flow	flow	NOUN
cana-4829	53	36	.	.	PUNCT
cana-4829	54	1	the	the	DET
cana-4829	54	2	features	feature	NOUN
cana-4829	54	3	are	be	AUX
cana-4829	54	4	then	then	ADV
cana-4829	54	5	separated	separate	VERB
cana-4829	54	6	and	and	CCONJ
cana-4829	54	7	split	split	VERB
cana-4829	54	8	into	into	ADP
cana-4829	54	9	a	a	DET
cana-4829	54	10	train	train	NOUN
cana-4829	54	11	and	and	CCONJ
cana-4829	54	12	a	a	DET
cana-4829	54	13	test	test	NOUN
cana-4829	54	14	dataset	dataset	VERB
cana-4829	54	15	in	in	ADP
cana-4829	54	16	order	order	NOUN
cana-4829	54	17	to	to	PART
cana-4829	54	18	train	train	VERB
cana-4829	54	19	a	a	DET
cana-4829	54	20	model	model	NOUN
cana-4829	54	21	.	.	PUNCT
cana-4829	55	1	the	the	DET
cana-4829	55	2	classification	classification	NOUN
cana-4829	55	3	step	step	NOUN
cana-4829	55	4	trains	train	VERB
cana-4829	55	5	three	three	NUM
cana-4829	55	6	machine	machine	NOUN
cana-4829	55	7	models	model	NOUN
cana-4829	55	8	namely	namely	ADV
cana-4829	55	9	,	,	PUNCT
cana-4829	55	10	logistic	logistic	ADJ
cana-4829	55	11	regression	regression	NOUN
cana-4829	55	12	,	,	PUNCT
cana-4829	55	13	svm	svm	NOUN
cana-4829	55	14	,	,	PUNCT
cana-4829	55	15	and	and	CCONJ
cana-4829	55	16	kneighborsclassifier	kneighborsclassifier	NOUN
cana-4829	55	17	.	.	PUNCT
cana-4829	56	1	the	the	DET
cana-4829	56	2	logistic	logistic	ADJ
cana-4829	56	3	regression	regression	NOUN
cana-4829	56	4	is	be	AUX
cana-4829	56	5	applicable	applicable	ADJ
cana-4829	56	6	in	in	ADP
cana-4829	56	7	classification	classification	NOUN
cana-4829	56	8	problems	problem	NOUN
cana-4829	56	9	with	with	ADP
cana-4829	56	10	a	a	DET
cana-4829	56	11	hard	hard	ADJ
cana-4829	56	12	decision	decision	NOUN
cana-4829	56	13	boundary	boundary	NOUN
cana-4829	56	14	such	such	ADJ
cana-4829	56	15	as	as	ADP
cana-4829	56	16	classification	classification	NOUN
cana-4829	56	17	based	base	VERB
cana-4829	56	18	on	on	ADP
cana-4829	56	19	whether	whether	SCONJ
cana-4829	56	20	a	a	DET
cana-4829	56	21	piece	piece	NOUN
cana-4829	56	22	of	of	ADP
cana-4829	56	23	network	network	NOUN
cana-4829	56	24	traffic	traffic	NOUN
cana-4829	56	25	is	be	AUX
cana-4829	56	26	normal	normal	ADJ
cana-4829	56	27	or	or	CCONJ
cana-4829	56	28	not	not	PART
cana-4829	56	29	.	.	PUNCT
cana-4829	57	1	the	the	DET
cana-4829	57	2	svm	svm	PROPN
cana-4829	57	3	is	be	AUX
cana-4829	57	4	a	a	DET
cana-4829	57	5	hard	hard	ADJ
cana-4829	57	6	-	-	PUNCT
cana-4829	57	7	margin	margin	NOUN
cana-4829	57	8	classifier	classifier	NOUN
cana-4829	57	9	and	and	CCONJ
cana-4829	57	10	is	be	AUX
cana-4829	57	11	applicable	applicable	ADJ
cana-4829	57	12	in	in	ADP
cana-4829	57	13	problems	problem	NOUN
cana-4829	57	14	with	with	ADP
cana-4829	57	15	complicated	complicated	ADJ
cana-4829	57	16	decision	decision	NOUN
cana-4829	57	17	boundaries	boundary	NOUN
cana-4829	57	18	in	in	ADP
cana-4829	57	19	high	high	ADJ
cana-4829	57	20	-	-	PUNCT
cana-4829	57	21	dimensional	dimensional	ADJ
cana-4829	57	22	feature	feature	NOUN
cana-4829	57	23	spaces	space	NOUN
cana-4829	57	24	.	.	PUNCT
cana-4829	58	1	the	the	DET
cana-4829	58	2	kneighborsclassifier	kneighborsclassifier	NOUN
cana-4829	58	3	is	be	AUX
cana-4829	58	4	a	a	DET
cana-4829	58	5	proximity	proximity	NOUN
cana-4829	58	6	-	-	PUNCT
cana-4829	58	7	based	base	VERB
cana-4829	58	8	method	method	NOUN
cana-4829	58	9	and	and	CCONJ
cana-4829	58	10	relies	rely	VERB
cana-4829	58	11	on	on	ADP
cana-4829	58	12	the	the	DET
cana-4829	58	13	majority	majority	NOUN
cana-4829	58	14	vote	vote	NOUN
cana-4829	58	15	among	among	ADP
cana-4829	58	16	neighboring	neighboring	NOUN
cana-4829	58	17	points	point	NOUN
cana-4829	58	18	.	.	PUNCT
cana-4829	59	1	these	these	DET
cana-4829	59	2	models	model	NOUN
cana-4829	59	3	are	be	AUX
cana-4829	59	4	trained	train	VERB
cana-4829	59	5	on	on	ADP
cana-4829	59	6	the	the	DET
cana-4829	59	7	train	train	NOUN
cana-4829	59	8	dataset	dataset	NOUN
cana-4829	59	9	in	in	ADP
cana-4829	59	10	order	order	NOUN
cana-4829	59	11	to	to	PART
cana-4829	59	12	classify	classify	VERB
cana-4829	59	13	network	network	NOUN
cana-4829	59	14	traffic	traffic	NOUN
cana-4829	59	15	.	.	PUNCT
cana-4829	60	1	figure	figure	NOUN
cana-4829	60	2	–	–	PUNCT
cana-4829	60	3	1	1	NUM
cana-4829	60	4	:	:	PUNCT
cana-4829	60	5	research	research	NOUN
cana-4829	60	6	flow	flow	NOUN
cana-4829	60	7	of	of	ADP
cana-4829	60	8	network	network	NOUN
cana-4829	60	9	traffic	traffic	NOUN
cana-4829	60	10	model	model	NOUN
cana-4829	60	11	finally	finally	ADV
cana-4829	60	12	,	,	PUNCT
cana-4829	60	13	the	the	DET
cana-4829	60	14	trained	train	VERB
cana-4829	60	15	models	model	NOUN
cana-4829	60	16	are	be	AUX
cana-4829	60	17	evaluated	evaluate	VERB
cana-4829	60	18	on	on	ADP
cana-4829	60	19	performance	performance	NOUN
cana-4829	60	20	and	and	CCONJ
cana-4829	60	21	reliability	reliability	NOUN
cana-4829	60	22	criteria	criterion	NOUN
cana-4829	60	23	such	such	ADJ
cana-4829	60	24	as	as	ADP
cana-4829	60	25	precision	precision	NOUN
cana-4829	60	26	,	,	PUNCT
cana-4829	60	27	recall	recall	NOUN
cana-4829	60	28	,	,	PUNCT
cana-4829	60	29	accuracy	accuracy	NOUN
cana-4829	60	30	,	,	PUNCT
cana-4829	60	31	and	and	CCONJ
cana-4829	60	32	f1	f1	NOUN
cana-4829	60	33	score	score	NOUN
cana-4829	60	34	in	in	ADP
cana-4829	60	35	order	order	NOUN
cana-4829	60	36	to	to	PART
cana-4829	60	37	assess	assess	VERB
cana-4829	60	38	how	how	SCONJ
cana-4829	60	39	they	they	PRON
cana-4829	60	40	would	would	AUX
cana-4829	60	41	handle	handle	VERB
cana-4829	60	42	realistic	realistic	ADJ
cana-4829	60	43	scenarios	scenario	NOUN
cana-4829	60	44	.	.	PUNCT
cana-4829	61	1	the	the	DET
cana-4829	61	2	updated	update	VERB
cana-4829	61	3	diagram	diagram	NOUN
cana-4829	61	4	focuses	focus	VERB
cana-4829	61	5	on	on	ADP
cana-4829	61	6	classification	classification	NOUN
cana-4829	61	7	-	-	PUNCT
cana-4829	61	8	oriented	orient	VERB
cana-4829	61	9	pipelines	pipeline	NOUN
cana-4829	61	10	with	with	ADP
cana-4829	61	11	the	the	DET
cana-4829	61	12	exclusion	exclusion	NOUN
cana-4829	61	13	of	of	ADP
cana-4829	61	14	forecasting	forecasting	NOUN
cana-4829	61	15	models	model	NOUN
cana-4829	61	16	and	and	CCONJ
cana-4829	61	17	a	a	DET
cana-4829	61	18	direct	direct	ADJ
cana-4829	61	19	linking	linking	NOUN
cana-4829	61	20	of	of	ADP
cana-4829	61	21	classification	classification	NOUN
cana-4829	61	22	outputs	output	NOUN
cana-4829	61	23	with	with	ADP
cana-4829	61	24	evaluation	evaluation	NOUN
cana-4829	61	25	.	.	PUNCT
cana-4829	62	1	the	the	DET
cana-4829	62	2	process	process	NOUN
cana-4829	62	3	is	be	AUX
cana-4829	62	4	a	a	DET
cana-4829	62	5	systematic	systematic	ADJ
cana-4829	62	6	and	and	CCONJ
cana-4829	62	7	efficient	efficient	ADJ
cana-4829	62	8	way	way	NOUN
cana-4829	62	9	of	of	ADP
cana-4829	62	10	categorizing	categorize	VERB
cana-4829	62	11	network	network	NOUN
cana-4829	62	12	traffic	traffic	NOUN
cana-4829	62	13	in	in	ADP
cana-4829	62	14	predetermined	predetermine	VERB
cana-4829	62	15	groups	group	NOUN
cana-4829	62	16	,	,	PUNCT
cana-4829	62	17	and	and	CCONJ
cana-4829	62	18	network	network	NOUN
cana-4829	62	19	administrators	administrator	NOUN
cana-4829	62	20	are	be	AUX
cana-4829	62	21	able	able	ADJ
cana-4829	62	22	to	to	PART
cana-4829	62	23	decide	decide	VERB
cana-4829	62	24	on	on	ADP
cana-4829	62	25	resource	resource	NOUN
cana-4829	62	26	distribution	distribution	NOUN
cana-4829	62	27	,	,	PUNCT
cana-4829	62	28	detecting	detect	VERB
cana-4829	62	29	anomalies	anomaly	NOUN
cana-4829	62	30	,	,	PUNCT
cana-4829	62	31	and	and	CCONJ
cana-4829	62	32	security	security	NOUN
cana-4829	62	33	management	management	NOUN
cana-4829	62	34	.	.	PUNCT
cana-4829	63	1	2	2	X
cana-4829	63	2	.	.	NUM
cana-4829	63	3	related	relate	VERB
cana-4829	63	4	research	research	NOUN
cana-4829	63	5	work	work	NOUN
cana-4829	63	6	network	network	NOUN
cana-4829	63	7	traffic	traffic	NOUN
cana-4829	63	8	classification	classification	NOUN
cana-4829	63	9	is	be	AUX
cana-4829	63	10	a	a	DET
cana-4829	63	11	critical	critical	ADJ
cana-4829	63	12	aspect	aspect	NOUN
cana-4829	63	13	of	of	ADP
cana-4829	63	14	modern	modern	ADJ
cana-4829	63	15	network	network	NOUN
cana-4829	63	16	management	management	NOUN
cana-4829	63	17	,	,	PUNCT
cana-4829	63	18	facilitating	facilitate	VERB
cana-4829	63	19	efficient	efficient	ADJ
cana-4829	63	20	resource	resource	NOUN
cana-4829	63	21	allocation	allocation	NOUN
cana-4829	63	22	,	,	PUNCT
cana-4829	63	23	quality	quality	NOUN
cana-4829	63	24	of	of	ADP
cana-4829	63	25	service	service	NOUN
cana-4829	63	26	(	(	PUNCT
cana-4829	63	27	qos	qos	PROPN
cana-4829	63	28	)	)	PUNCT
cana-4829	63	29	,	,	PUNCT
cana-4829	63	30	and	and	CCONJ
cana-4829	63	31	enhanced	enhanced	ADJ
cana-4829	63	32	security	security	NOUN
cana-4829	63	33	.	.	PUNCT
cana-4829	64	1	over	over	ADP
cana-4829	64	2	time	time	NOUN
cana-4829	64	3	,	,	PUNCT
cana-4829	64	4	various	various	ADJ
cana-4829	64	5	classification	classification	NOUN
cana-4829	64	6	algorithms	algorithm	NOUN
cana-4829	64	7	have	have	AUX
cana-4829	64	8	been	be	AUX
cana-4829	64	9	developed	develop	VERB
cana-4829	64	10	to	to	PART
cana-4829	64	11	address	address	VERB
cana-4829	64	12	the	the	DET
cana-4829	64	13	increasing	increase	VERB
cana-4829	64	14	complexity	complexity	NOUN
cana-4829	64	15	of	of	ADP
cana-4829	64	16	traffic	traffic	NOUN
cana-4829	64	17	patterns	pattern	NOUN
cana-4829	64	18	.	.	PUNCT
cana-4829	65	1	these	these	DET
cana-4829	65	2	algorithms	algorithm	NOUN
cana-4829	65	3	range	range	VERB
cana-4829	65	4	from	from	ADP
cana-4829	65	5	traditional	traditional	ADJ
cana-4829	65	6	probabilistic	probabilistic	ADJ
cana-4829	65	7	models	model	NOUN
cana-4829	65	8	to	to	ADP
cana-4829	65	9	advanced	advanced	ADJ
cana-4829	65	10	machine	machine	NOUN
cana-4829	65	11	learning	learn	VERB
cana-4829	65	12	techniques	technique	NOUN
cana-4829	65	13	,	,	PUNCT
cana-4829	65	14	each	each	DET
cana-4829	65	15	communications	communication	NOUN
cana-4829	65	16	on	on	ADP
cana-4829	65	17	applied	apply	VERB
cana-4829	65	18	nonlinear	nonlinear	ADJ
cana-4829	65	19	analysis	analysis	NOUN
cana-4829	65	20	issn	issn	NOUN
cana-4829	65	21	:	:	PUNCT
cana-4829	65	22	1074	1074	NUM
cana-4829	65	23	-	-	PUNCT
cana-4829	65	24	133x	133x	NUM
cana-4829	65	25	vol	vol	VERB
cana-4829	65	26	32	32	NUM
cana-4829	65	27	no	no	NOUN
cana-4829	65	28	.	.	PUNCT
cana-4829	66	1	10s	10	NOUN
cana-4829	66	2	(	(	PUNCT
cana-4829	66	3	2025	2025	NUM
cana-4829	66	4	)	)	PUNCT
cana-4829	66	5	362	362	NUM
cana-4829	66	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	66	7	contributing	contribute	VERB
cana-4829	66	8	significantly	significantly	ADV
cana-4829	66	9	to	to	ADP
cana-4829	66	10	improving	improve	VERB
cana-4829	66	11	the	the	DET
cana-4829	66	12	accuracy	accuracy	NOUN
cana-4829	66	13	and	and	CCONJ
cana-4829	66	14	adaptability	adaptability	NOUN
cana-4829	66	15	of	of	ADP
cana-4829	66	16	traffic	traffic	NOUN
cana-4829	66	17	classification	classification	NOUN
cana-4829	66	18	systems	system	NOUN
cana-4829	66	19	.	.	PUNCT
cana-4829	67	1	naive	naive	ADJ
cana-4829	67	2	bayes	bayes	PROPN
cana-4829	67	3	classifier	classifier	NOUN
cana-4829	67	4	,	,	PUNCT
cana-4829	67	5	for	for	ADP
cana-4829	67	6	example	example	NOUN
cana-4829	67	7	,	,	PUNCT
cana-4829	67	8	is	be	AUX
cana-4829	67	9	a	a	DET
cana-4829	67	10	probabilistic	probabilistic	ADJ
cana-4829	67	11	model	model	NOUN
cana-4829	67	12	that	that	PRON
cana-4829	67	13	assumes	assume	VERB
cana-4829	67	14	feature	feature	NOUN
cana-4829	67	15	independence	independence	NOUN
cana-4829	67	16	.	.	PUNCT
cana-4829	68	1	its	its	PRON
cana-4829	68	2	computational	computational	ADJ
cana-4829	68	3	efficiency	efficiency	NOUN
cana-4829	68	4	and	and	CCONJ
cana-4829	68	5	simplicity	simplicity	NOUN
cana-4829	68	6	make	make	VERB
cana-4829	68	7	it	it	PRON
cana-4829	68	8	suitable	suitable	ADJ
cana-4829	68	9	for	for	ADP
cana-4829	68	10	real	real	ADJ
cana-4829	68	11	-	-	PUNCT
cana-4829	68	12	time	time	NOUN
cana-4829	68	13	traffic	traffic	NOUN
cana-4829	68	14	analysis	analysis	NOUN
cana-4829	68	15	,	,	PUNCT
cana-4829	68	16	particularly	particularly	ADV
cana-4829	68	17	in	in	ADP
cana-4829	68	18	packet	packet	NOUN
cana-4829	68	19	-	-	PUNCT
cana-4829	68	20	level	level	NOUN
cana-4829	68	21	and	and	CCONJ
cana-4829	68	22	flow	flow	NOUN
cana-4829	68	23	-	-	PUNCT
cana-4829	68	24	level	level	NOUN
cana-4829	68	25	classification	classification	NOUN
cana-4829	68	26	scenarios	scenario	NOUN
cana-4829	68	27	[	[	X
cana-4829	68	28	11	11	NUM
cana-4829	68	29	]	]	PUNCT
cana-4829	68	30	.	.	PUNCT
cana-4829	69	1	support	support	NOUN
cana-4829	69	2	vector	vector	NOUN
cana-4829	69	3	machines	machine	NOUN
cana-4829	69	4	(	(	PUNCT
cana-4829	69	5	svm	svm	PROPN
cana-4829	69	6	)	)	PUNCT
cana-4829	69	7	have	have	AUX
cana-4829	69	8	been	be	AUX
cana-4829	69	9	widely	widely	ADV
cana-4829	69	10	adopted	adopt	VERB
cana-4829	69	11	for	for	ADP
cana-4829	69	12	both	both	CCONJ
cana-4829	69	13	linear	linear	ADJ
cana-4829	69	14	and	and	CCONJ
cana-4829	69	15	non	non	ADJ
cana-4829	69	16	-	-	ADJ
cana-4829	69	17	linear	linear	ADJ
cana-4829	69	18	classification	classification	NOUN
cana-4829	69	19	tasks	task	NOUN
cana-4829	69	20	.	.	PUNCT
cana-4829	70	1	known	know	VERB
cana-4829	70	2	for	for	ADP
cana-4829	70	3	their	their	PRON
cana-4829	70	4	effectiveness	effectiveness	NOUN
cana-4829	70	5	in	in	ADP
cana-4829	70	6	separating	separate	VERB
cana-4829	70	7	normal	normal	ADJ
cana-4829	70	8	and	and	CCONJ
cana-4829	70	9	anomalous	anomalous	ADJ
cana-4829	70	10	traffic	traffic	NOUN
cana-4829	70	11	,	,	PUNCT
cana-4829	70	12	svms	svms	NOUN
cana-4829	70	13	are	be	AUX
cana-4829	70	14	particularly	particularly	ADV
cana-4829	70	15	valuable	valuable	ADJ
cana-4829	70	16	in	in	ADP
cana-4829	70	17	intrusion	intrusion	NOUN
cana-4829	70	18	detection	detection	NOUN
cana-4829	70	19	systems	system	NOUN
cana-4829	70	20	due	due	ADP
cana-4829	70	21	to	to	ADP
cana-4829	70	22	their	their	PRON
cana-4829	70	23	ability	ability	NOUN
cana-4829	70	24	to	to	PART
cana-4829	70	25	handle	handle	VERB
cana-4829	70	26	high	high	ADJ
cana-4829	70	27	-	-	PUNCT
cana-4829	70	28	dimensional	dimensional	ADJ
cana-4829	70	29	feature	feature	NOUN
cana-4829	70	30	spaces	space	NOUN
cana-4829	70	31	[	[	X
cana-4829	70	32	12	12	NUM
cana-4829	70	33	]	]	PUNCT
cana-4829	70	34	.	.	PUNCT
cana-4829	71	1	decision	decision	NOUN
cana-4829	71	2	trees	tree	NOUN
cana-4829	71	3	and	and	CCONJ
cana-4829	71	4	their	their	PRON
cana-4829	71	5	ensemble	ensemble	ADJ
cana-4829	71	6	extension	extension	NOUN
cana-4829	71	7	,	,	PUNCT
cana-4829	71	8	random	random	ADJ
cana-4829	71	9	forests	forest	NOUN
cana-4829	71	10	,	,	PUNCT
cana-4829	71	11	offer	offer	VERB
cana-4829	71	12	intuitive	intuitive	ADJ
cana-4829	71	13	classification	classification	NOUN
cana-4829	71	14	mechanisms	mechanism	NOUN
cana-4829	71	15	.	.	PUNCT
cana-4829	72	1	while	while	SCONJ
cana-4829	72	2	decision	decision	NOUN
cana-4829	72	3	trees	tree	NOUN
cana-4829	72	4	provide	provide	VERB
cana-4829	72	5	transparency	transparency	NOUN
cana-4829	72	6	in	in	ADP
cana-4829	72	7	rule	rule	NOUN
cana-4829	72	8	interpretation	interpretation	NOUN
cana-4829	72	9	,	,	PUNCT
cana-4829	72	10	random	random	ADJ
cana-4829	72	11	forests	forest	NOUN
cana-4829	72	12	enhance	enhance	VERB
cana-4829	72	13	robustness	robustness	NOUN
cana-4829	72	14	and	and	CCONJ
cana-4829	72	15	excel	excel	VERB
cana-4829	72	16	in	in	ADP
cana-4829	72	17	managing	manage	VERB
cana-4829	72	18	complex	complex	ADJ
cana-4829	72	19	,	,	PUNCT
cana-4829	72	20	noisy	noisy	ADJ
cana-4829	72	21	datasets	dataset	NOUN
cana-4829	72	22	,	,	PUNCT
cana-4829	72	23	commonly	commonly	ADV
cana-4829	72	24	observed	observe	VERB
cana-4829	72	25	in	in	ADP
cana-4829	72	26	network	network	NOUN
cana-4829	72	27	traffic	traffic	NOUN
cana-4829	72	28	[	[	X
cana-4829	72	29	13	13	NUM
cana-4829	72	30	]	]	PUNCT
cana-4829	72	31	.	.	PUNCT
cana-4829	73	1	k	k	X
cana-4829	73	2	-	-	PUNCT
cana-4829	73	3	nearest	near	ADJ
cana-4829	73	4	neighbors	neighbor	NOUN
cana-4829	73	5	(	(	PUNCT
cana-4829	73	6	knn	knn	PROPN
cana-4829	73	7	)	)	PUNCT
cana-4829	73	8	is	be	AUX
cana-4829	73	9	also	also	ADV
cana-4829	73	10	involved	involve	VERB
cana-4829	73	11	in	in	ADP
cana-4829	73	12	network	network	NOUN
cana-4829	73	13	traffic	traffic	NOUN
cana-4829	73	14	classification	classification	NOUN
cana-4829	73	15	based	base	VERB
cana-4829	73	16	on	on	ADP
cana-4829	73	17	feature	feature	NOUN
cana-4829	73	18	vector	vector	NOUN
cana-4829	73	19	similarity	similarity	NOUN
cana-4829	73	20	measurement	measurement	NOUN
cana-4829	73	21	.	.	PUNCT
cana-4829	74	1	it	it	PRON
cana-4829	74	2	is	be	AUX
cana-4829	74	3	dynamically	dynamically	ADV
cana-4829	74	4	adaptable	adaptable	ADJ
cana-4829	74	5	and	and	CCONJ
cana-4829	74	6	simple	simple	ADJ
cana-4829	74	7	and	and	CCONJ
cana-4829	74	8	is	be	AUX
cana-4829	74	9	a	a	DET
cana-4829	74	10	reliable	reliable	ADJ
cana-4829	74	11	solution	solution	NOUN
cana-4829	74	12	in	in	ADP
cana-4829	74	13	diverse	diverse	ADJ
cana-4829	74	14	traffic	traffic	NOUN
cana-4829	74	15	conditions	condition	NOUN
cana-4829	74	16	[	[	X
cana-4829	74	17	14	14	NUM
cana-4829	74	18	]	]	PUNCT
cana-4829	74	19	.	.	PUNCT
cana-4829	75	1	neural	neural	ADJ
cana-4829	75	2	networks	network	NOUN
cana-4829	75	3	,	,	PUNCT
cana-4829	75	4	and	and	CCONJ
cana-4829	75	5	deep	deep	ADJ
cana-4829	75	6	neural	neural	ADJ
cana-4829	75	7	network	network	NOUN
cana-4829	75	8	models	model	NOUN
cana-4829	75	9	such	such	ADJ
cana-4829	75	10	as	as	ADP
cana-4829	75	11	convolutional	convolutional	ADJ
cana-4829	75	12	neural	neural	ADJ
cana-4829	75	13	networks	network	NOUN
cana-4829	75	14	(	(	PUNCT
cana-4829	75	15	cnns	cnns	PROPN
cana-4829	75	16	)	)	PUNCT
cana-4829	75	17	,	,	PUNCT
cana-4829	75	18	have	have	AUX
cana-4829	75	19	gained	gain	VERB
cana-4829	75	20	recognition	recognition	NOUN
cana-4829	75	21	in	in	ADP
cana-4829	75	22	recent	recent	ADJ
cana-4829	75	23	years	year	NOUN
cana-4829	75	24	.	.	PUNCT
cana-4829	76	1	cnns	cnns	PROPN
cana-4829	76	2	are	be	AUX
cana-4829	76	3	useful	useful	ADJ
cana-4829	76	4	in	in	ADP
cana-4829	76	5	capturing	capture	VERB
cana-4829	76	6	space	space	NOUN
cana-4829	76	7	and	and	CCONJ
cana-4829	76	8	temporal	temporal	ADJ
cana-4829	76	9	features	feature	NOUN
cana-4829	76	10	and	and	CCONJ
cana-4829	76	11	are	be	AUX
cana-4829	76	12	applicable	applicable	ADJ
cana-4829	76	13	in	in	ADP
cana-4829	76	14	investigating	investigate	VERB
cana-4829	76	15	packet	packet	ADJ
cana-4829	76	16	headers	header	NOUN
cana-4829	76	17	and	and	CCONJ
cana-4829	76	18	sequences	sequence	NOUN
cana-4829	76	19	in	in	ADP
cana-4829	76	20	the	the	DET
cana-4829	76	21	traffic	traffic	NOUN
cana-4829	76	22	[	[	X
cana-4829	76	23	15	15	NUM
cana-4829	76	24	]	]	PUNCT
cana-4829	76	25	.	.	PUNCT
cana-4829	77	1	the	the	DET
cana-4829	77	2	simplicity	simplicity	NOUN
cana-4829	77	3	in	in	ADP
cana-4829	77	4	implementation	implementation	NOUN
cana-4829	77	5	and	and	CCONJ
cana-4829	77	6	efficiency	efficiency	NOUN
cana-4829	77	7	in	in	ADP
cana-4829	77	8	distinguishing	distinguish	VERB
cana-4829	77	9	the	the	DET
cana-4829	77	10	normal	normal	ADJ
cana-4829	77	11	and	and	CCONJ
cana-4829	77	12	suspicious	suspicious	ADJ
cana-4829	77	13	classes	class	NOUN
cana-4829	77	14	in	in	ADP
cana-4829	77	15	classification	classification	NOUN
cana-4829	77	16	are	be	AUX
cana-4829	77	17	key	key	ADJ
cana-4829	77	18	features	feature	NOUN
cana-4829	77	19	in	in	ADP
cana-4829	77	20	the	the	DET
cana-4829	77	21	binary	binary	ADJ
cana-4829	77	22	classification	classification	NOUN
cana-4829	77	23	method	method	NOUN
cana-4829	77	24	,	,	PUNCT
cana-4829	77	25	logistic	logistic	ADJ
cana-4829	77	26	regression	regression	NOUN
cana-4829	77	27	[	[	X
cana-4829	77	28	16	16	NUM
cana-4829	77	29	]	]	PUNCT
cana-4829	77	30	.	.	PUNCT
cana-4829	78	1	the	the	DET
cana-4829	78	2	feature	feature	NOUN
cana-4829	78	3	of	of	ADP
cana-4829	78	4	probabilistic	probabilistic	ADJ
cana-4829	78	5	reasoning	reasoning	NOUN
cana-4829	78	6	in	in	ADP
cana-4829	78	7	bayesian	bayesian	NOUN
cana-4829	78	8	networks	network	NOUN
cana-4829	78	9	makes	make	VERB
cana-4829	78	10	them	they	PRON
cana-4829	78	11	applicable	applicable	ADJ
cana-4829	78	12	in	in	ADP
cana-4829	78	13	representing	represent	VERB
cana-4829	78	14	relations	relation	NOUN
cana-4829	78	15	among	among	ADP
cana-4829	78	16	network	network	NOUN
cana-4829	78	17	features	feature	NOUN
cana-4829	78	18	and	and	CCONJ
cana-4829	78	19	having	have	VERB
cana-4829	78	20	a	a	DET
cana-4829	78	21	high	high	ADJ
cana-4829	78	22	level	level	NOUN
cana-4829	78	23	of	of	ADP
cana-4829	78	24	anomaly	anomaly	NOUN
cana-4829	78	25	detection	detection	NOUN
cana-4829	78	26	capability	capability	NOUN
cana-4829	78	27	[	[	X
cana-4829	78	28	17	17	NUM
cana-4829	78	29	]	]	PUNCT
cana-4829	78	30	.	.	PUNCT
cana-4829	79	1	ensemble	ensemble	ADJ
cana-4829	79	2	learning	learning	NOUN
cana-4829	79	3	methods	method	NOUN
cana-4829	79	4	such	such	ADJ
cana-4829	79	5	as	as	ADP
cana-4829	79	6	gradient	gradient	ADJ
cana-4829	79	7	boost	boost	NOUN
cana-4829	79	8	and	and	CCONJ
cana-4829	79	9	adaboost	adaboost	ADV
cana-4829	79	10	have	have	AUX
cana-4829	79	11	been	be	AUX
cana-4829	79	12	used	use	VERB
cana-4829	79	13	in	in	ADP
cana-4829	79	14	order	order	NOUN
cana-4829	79	15	to	to	PART
cana-4829	79	16	enhance	enhance	VERB
cana-4829	79	17	classification	classification	NOUN
cana-4829	79	18	performance	performance	NOUN
cana-4829	79	19	.	.	PUNCT
cana-4829	80	1	these	these	DET
cana-4829	80	2	methods	method	NOUN
cana-4829	80	3	collect	collect	VERB
cana-4829	80	4	predictions	prediction	NOUN
cana-4829	80	5	made	make	VERB
cana-4829	80	6	by	by	ADP
cana-4829	80	7	a	a	DET
cana-4829	80	8	variety	variety	NOUN
cana-4829	80	9	of	of	ADP
cana-4829	80	10	classifiers	classifier	NOUN
cana-4829	80	11	in	in	ADP
cana-4829	80	12	order	order	NOUN
cana-4829	80	13	to	to	PART
cana-4829	80	14	provide	provide	VERB
cana-4829	80	15	better	well	ADJ
cana-4829	80	16	precision	precision	NOUN
cana-4829	80	17	and	and	CCONJ
cana-4829	80	18	resilience	resilience	NOUN
cana-4829	80	19	and	and	CCONJ
cana-4829	80	20	are	be	AUX
cana-4829	80	21	applicable	applicable	ADJ
cana-4829	80	22	in	in	ADP
cana-4829	80	23	network	network	NOUN
cana-4829	80	24	intrusion	intrusion	NOUN
cana-4829	80	25	detection	detection	NOUN
cana-4829	80	26	systems	system	NOUN
cana-4829	80	27	[	[	X
cana-4829	80	28	18	18	NUM
cana-4829	80	29	]	]	PUNCT
cana-4829	80	30	.	.	PUNCT
cana-4829	81	1	recent	recent	ADJ
cana-4829	81	2	machine	machine	NOUN
cana-4829	81	3	learning	learn	VERB
cana-4829	81	4	research	research	NOUN
cana-4829	81	5	has	have	AUX
cana-4829	81	6	been	be	AUX
cana-4829	81	7	focusing	focus	VERB
cana-4829	81	8	on	on	ADP
cana-4829	81	9	combining	combine	VERB
cana-4829	81	10	multiple	multiple	ADJ
cana-4829	81	11	methods	method	NOUN
cana-4829	81	12	such	such	ADJ
cana-4829	81	13	as	as	ADP
cana-4829	81	14	svm	svm	PROPN
cana-4829	81	15	,	,	PUNCT
cana-4829	81	16	knn	knn	PROPN
cana-4829	81	17	,	,	PUNCT
cana-4829	81	18	and	and	CCONJ
cana-4829	81	19	logistic	logistic	ADJ
cana-4829	81	20	regression	regression	NOUN
cana-4829	81	21	in	in	ADP
cana-4829	81	22	order	order	NOUN
cana-4829	81	23	to	to	PART
cana-4829	81	24	gain	gain	VERB
cana-4829	81	25	classification	classification	NOUN
cana-4829	81	26	precision	precision	NOUN
cana-4829	81	27	over	over	ADP
cana-4829	81	28	99	99	NUM
cana-4829	81	29	%	%	NOUN
cana-4829	81	30	under	under	ADP
cana-4829	81	31	realistic	realistic	ADJ
cana-4829	81	32	conditions	condition	NOUN
cana-4829	81	33	.	.	PUNCT
cana-4829	82	1	moreover	moreover	ADV
cana-4829	82	2	,	,	PUNCT
cana-4829	82	3	integration	integration	NOUN
cana-4829	82	4	with	with	ADP
cana-4829	82	5	advanced	advanced	ADJ
cana-4829	82	6	forecasting	forecasting	NOUN
cana-4829	82	7	models	model	NOUN
cana-4829	82	8	such	such	ADJ
cana-4829	82	9	as	as	ADP
cana-4829	82	10	enhanced	enhance	VERB
cana-4829	82	11	arima	arima	PROPN
cana-4829	82	12	has	have	AUX
cana-4829	82	13	been	be	AUX
cana-4829	82	14	helpful	helpful	ADJ
cana-4829	82	15	in	in	ADP
cana-4829	82	16	forecasting	forecast	VERB
cana-4829	82	17	traffic	traffic	NOUN
cana-4829	82	18	trends	trend	NOUN
cana-4829	82	19	and	and	CCONJ
cana-4829	82	20	overcoming	overcome	VERB
cana-4829	82	21	problems	problem	NOUN
cana-4829	82	22	resulting	result	VERB
cana-4829	82	23	from	from	ADP
cana-4829	82	24	fluctuating	fluctuate	VERB
cana-4829	82	25	and	and	CCONJ
cana-4829	82	26	evolving	evolve	VERB
cana-4829	82	27	traffic	traffic	NOUN
cana-4829	82	28	conditions	condition	NOUN
cana-4829	82	29	.	.	PUNCT
cana-4829	83	1	these	these	DET
cana-4829	83	2	research	research	NOUN
cana-4829	83	3	efforts	effort	NOUN
cana-4829	83	4	emphasize	emphasize	VERB
cana-4829	83	5	the	the	DET
cana-4829	83	6	revolutionary	revolutionary	ADJ
cana-4829	83	7	role	role	NOUN
cana-4829	83	8	of	of	ADP
cana-4829	83	9	machine	machine	NOUN
cana-4829	83	10	learning	learning	NOUN
cana-4829	83	11	and	and	CCONJ
cana-4829	83	12	ensemble	ensemble	ADJ
cana-4829	83	13	methods	method	NOUN
cana-4829	83	14	in	in	ADP
cana-4829	83	15	network	network	NOUN
cana-4829	83	16	traffic	traffic	NOUN
cana-4829	83	17	classification	classification	NOUN
cana-4829	83	18	.	.	PUNCT
cana-4829	84	1	by	by	ADP
cana-4829	84	2	combining	combine	VERB
cana-4829	84	3	computational	computational	ADJ
cana-4829	84	4	efficiency	efficiency	NOUN
cana-4829	84	5	,	,	PUNCT
cana-4829	84	6	resilience	resilience	NOUN
cana-4829	84	7	,	,	PUNCT
cana-4829	84	8	and	and	CCONJ
cana-4829	84	9	adaptability	adaptability	NOUN
cana-4829	84	10	,	,	PUNCT
cana-4829	84	11	these	these	DET
cana-4829	84	12	methods	method	NOUN
cana-4829	84	13	address	address	VERB
cana-4829	84	14	the	the	DET
cana-4829	84	15	problems	problem	NOUN
cana-4829	84	16	arising	arise	VERB
cana-4829	84	17	in	in	ADP
cana-4829	84	18	increasingly	increasingly	ADV
cana-4829	84	19	complex	complex	ADJ
cana-4829	84	20	and	and	CCONJ
cana-4829	84	21	data	data	NOUN
cana-4829	84	22	-	-	PUNCT
cana-4829	84	23	driven	drive	VERB
cana-4829	84	24	network	network	NOUN
cana-4829	84	25	conditions	condition	NOUN
cana-4829	84	26	and	and	CCONJ
cana-4829	84	27	pave	pave	VERB
cana-4829	84	28	the	the	DET
cana-4829	84	29	way	way	NOUN
cana-4829	84	30	for	for	ADP
cana-4829	84	31	future	future	ADJ
cana-4829	84	32	innovations	innovation	NOUN
cana-4829	84	33	in	in	ADP
cana-4829	84	34	network	network	NOUN
cana-4829	84	35	administration	administration	NOUN
cana-4829	84	36	.	.	PUNCT
cana-4829	85	1	3	3	X
cana-4829	85	2	.	.	X
cana-4829	85	3	methodology	methodology	NOUN
cana-4829	85	4	the	the	DET
cana-4829	85	5	data	datum	NOUN
cana-4829	85	6	for	for	ADP
cana-4829	85	7	the	the	DET
cana-4829	85	8	study	study	NOUN
cana-4829	85	9	is	be	AUX
cana-4829	85	10	collected	collect	VERB
cana-4829	85	11	through	through	ADP
cana-4829	85	12	wireshark	wireshark	NOUN
cana-4829	85	13	,	,	PUNCT
cana-4829	85	14	a	a	DET
cana-4829	85	15	widely	widely	ADV
cana-4829	85	16	used	use	VERB
cana-4829	85	17	network	network	NOUN
cana-4829	85	18	protocol	protocol	NOUN
cana-4829	85	19	analyzer	analyzer	NOUN
cana-4829	85	20	software	software	NOUN
cana-4829	85	21	.	.	PUNCT
cana-4829	86	1	data	datum	NOUN
cana-4829	86	2	on	on	ADP
cana-4829	86	3	network	network	NOUN
cana-4829	86	4	traffic	traffic	NOUN
cana-4829	86	5	is	be	AUX
cana-4829	86	6	collected	collect	VERB
cana-4829	86	7	for	for	ADP
cana-4829	86	8	six	six	NUM
cana-4829	86	9	months	month	NOUN
cana-4829	86	10	at	at	ADP
cana-4829	86	11	three	three	NUM
cana-4829	86	12	time	time	NOUN
cana-4829	86	13	slots	slot	NOUN
cana-4829	86	14	:	:	PUNCT
cana-4829	86	15	morning	morning	NOUN
cana-4829	86	16	,	,	PUNCT
cana-4829	86	17	lunch	lunch	NOUN
cana-4829	86	18	,	,	PUNCT
cana-4829	86	19	and	and	CCONJ
cana-4829	86	20	afternoon	afternoon	NOUN
cana-4829	86	21	(	(	PUNCT
cana-4829	86	22	5	5	NUM
cana-4829	86	23	pm	pm	NOUN
cana-4829	86	24	)	)	PUNCT
cana-4829	86	25	.	.	PUNCT
cana-4829	87	1	the	the	DET
cana-4829	87	2	resulting	result	VERB
cana-4829	87	3	dataset	dataset	NOUN
cana-4829	87	4	had	have	VERB
cana-4829	87	5	approximately	approximately	ADV
cana-4829	87	6	50,000	50,000	NUM
cana-4829	87	7	entries	entry	NOUN
cana-4829	87	8	with	with	ADP
cana-4829	87	9	traffic	traffic	NOUN
cana-4829	87	10	volume	volume	NOUN
cana-4829	87	11	,	,	PUNCT
cana-4829	87	12	packet	packet	NOUN
cana-4829	87	13	rates	rate	NOUN
cana-4829	87	14	,	,	PUNCT
cana-4829	87	15	and	and	CCONJ
cana-4829	87	16	protocol	protocol	NOUN
cana-4829	87	17	types	type	NOUN
cana-4829	87	18	as	as	ADP
cana-4829	87	19	attributes	attribute	NOUN
cana-4829	87	20	.	.	PUNCT
cana-4829	88	1	raw	raw	ADJ
cana-4829	88	2	data	datum	NOUN
cana-4829	88	3	is	be	AUX
cana-4829	88	4	stored	store	VERB
cana-4829	88	5	in	in	ADP
cana-4829	88	6	formats	format	NOUN
cana-4829	88	7	like	like	ADP
cana-4829	88	8	csv	csv	INTJ
cana-4829	88	9	and	and	CCONJ
cana-4829	88	10	zip	zip	VERB
cana-4829	88	11	for	for	ADP
cana-4829	88	12	easy	easy	ADJ
cana-4829	88	13	preprocessing	preprocessing	NOUN
cana-4829	88	14	and	and	CCONJ
cana-4829	88	15	analysis	analysis	NOUN
cana-4829	88	16	.	.	PUNCT
cana-4829	89	1	the	the	DET
cana-4829	89	2	large	large	ADJ
cana-4829	89	3	dataset	dataset	NOUN
cana-4829	89	4	was	be	AUX
cana-4829	89	5	the	the	DET
cana-4829	89	6	cornerstone	cornerstone	NOUN
cana-4829	89	7	of	of	ADP
cana-4829	89	8	training	training	NOUN
cana-4829	89	9	and	and	CCONJ
cana-4829	89	10	testing	test	VERB
cana-4829	89	11	the	the	DET
cana-4829	89	12	classification	classification	NOUN
cana-4829	89	13	and	and	CCONJ
cana-4829	89	14	forecasting	forecasting	NOUN
cana-4829	89	15	models	model	NOUN
cana-4829	89	16	[	[	X
cana-4829	89	17	19	19	NUM
cana-4829	89	18	]	]	PUNCT
cana-4829	89	19	.	.	PUNCT
cana-4829	90	1	data	datum	NOUN
cana-4829	90	2	preprocessing	preprocessing	NOUN
cana-4829	90	3	is	be	AUX
cana-4829	90	4	a	a	DET
cana-4829	90	5	necessity	necessity	NOUN
cana-4829	90	6	to	to	PART
cana-4829	90	7	render	render	VERB
cana-4829	90	8	the	the	DET
cana-4829	90	9	collected	collect	VERB
cana-4829	90	10	dataset	dataset	NOUN
cana-4829	90	11	in	in	ADP
cana-4829	90	12	usable	usable	ADJ
cana-4829	90	13	form	form	NOUN
cana-4829	90	14	and	and	CCONJ
cana-4829	90	15	ensure	ensure	VERB
cana-4829	90	16	its	its	PRON
cana-4829	90	17	quality	quality	NOUN
cana-4829	90	18	.	.	PUNCT
cana-4829	91	1	key	key	ADJ
cana-4829	91	2	steps	step	NOUN
cana-4829	91	3	included	include	VERB
cana-4829	91	4	data	datum	NOUN
cana-4829	91	5	cleaning	cleaning	NOUN
cana-4829	91	6	,	,	PUNCT
cana-4829	91	7	which	which	PRON
cana-4829	91	8	involved	involve	VERB
cana-4829	91	9	the	the	DET
cana-4829	91	10	communications	communication	NOUN
cana-4829	91	11	on	on	ADP
cana-4829	91	12	applied	apply	VERB
cana-4829	91	13	nonlinear	nonlinear	ADJ
cana-4829	91	14	analysis	analysis	NOUN
cana-4829	91	15	issn	issn	NOUN
cana-4829	91	16	:	:	PUNCT
cana-4829	91	17	1074	1074	NUM
cana-4829	91	18	-	-	PUNCT
cana-4829	91	19	133x	133x	NUM
cana-4829	91	20	vol	vol	VERB
cana-4829	91	21	32	32	NUM
cana-4829	91	22	no	no	NOUN
cana-4829	91	23	.	.	PUNCT
cana-4829	92	1	10s	10	NOUN
cana-4829	92	2	(	(	PUNCT
cana-4829	92	3	2025	2025	NUM
cana-4829	92	4	)	)	PUNCT
cana-4829	92	5	363	363	NUM
cana-4829	92	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	92	7	removal	removal	NOUN
cana-4829	92	8	of	of	ADP
cana-4829	92	9	duplicates	duplicate	NOUN
cana-4829	92	10	,	,	PUNCT
cana-4829	92	11	handling	handle	VERB
cana-4829	92	12	of	of	ADP
cana-4829	92	13	missing	miss	VERB
cana-4829	92	14	values	value	NOUN
cana-4829	92	15	,	,	PUNCT
cana-4829	92	16	and	and	CCONJ
cana-4829	92	17	resolution	resolution	NOUN
cana-4829	92	18	of	of	ADP
cana-4829	92	19	inconsistencies	inconsistency	NOUN
cana-4829	92	20	[	[	X
cana-4829	92	21	20	20	NUM
cana-4829	92	22	]	]	PUNCT
cana-4829	92	23	.	.	PUNCT
cana-4829	93	1	data	datum	NOUN
cana-4829	93	2	transformation	transformation	NOUN
cana-4829	93	3	is	be	AUX
cana-4829	93	4	done	do	VERB
cana-4829	93	5	to	to	PART
cana-4829	93	6	aggregate	aggregate	VERB
cana-4829	93	7	data	datum	NOUN
cana-4829	93	8	on	on	ADP
cana-4829	93	9	useful	useful	ADJ
cana-4829	93	10	time	time	NOUN
cana-4829	93	11	intervals	interval	NOUN
cana-4829	93	12	(	(	PUNCT
cana-4829	93	13	e.g.	e.g.	ADV
cana-4829	93	14	,	,	PUNCT
cana-4829	93	15	hourly	hourly	ADJ
cana-4829	93	16	or	or	CCONJ
cana-4829	93	17	daily	daily	ADJ
cana-4829	93	18	)	)	PUNCT
cana-4829	93	19	,	,	PUNCT
cana-4829	93	20	normalize	normalize	VERB
cana-4829	93	21	the	the	DET
cana-4829	93	22	values	value	NOUN
cana-4829	93	23	,	,	PUNCT
cana-4829	93	24	and	and	CCONJ
cana-4829	93	25	handle	handle	VERB
cana-4829	93	26	outliers	outlier	NOUN
cana-4829	93	27	.	.	PUNCT
cana-4829	94	1	finally	finally	ADV
cana-4829	94	2	,	,	PUNCT
cana-4829	94	3	feature	feature	NOUN
cana-4829	94	4	extraction	extraction	NOUN
cana-4829	94	5	is	be	AUX
cana-4829	94	6	done	do	VERB
cana-4829	94	7	to	to	PART
cana-4829	94	8	identify	identify	VERB
cana-4829	94	9	and	and	CCONJ
cana-4829	94	10	extract	extract	VERB
cana-4829	94	11	useful	useful	ADJ
cana-4829	94	12	attributes	attribute	NOUN
cana-4829	94	13	like	like	ADP
cana-4829	94	14	traffic	traffic	NOUN
cana-4829	94	15	volume	volume	NOUN
cana-4829	94	16	,	,	PUNCT
cana-4829	94	17	packet	packet	NOUN
cana-4829	94	18	rates	rate	NOUN
cana-4829	94	19	,	,	PUNCT
cana-4829	94	20	and	and	CCONJ
cana-4829	94	21	protocol	protocol	NOUN
cana-4829	94	22	types	type	NOUN
cana-4829	94	23	.	.	PUNCT
cana-4829	95	1	these	these	DET
cana-4829	95	2	steps	step	NOUN
cana-4829	95	3	rendered	render	VERB
cana-4829	95	4	the	the	DET
cana-4829	95	5	dataset	dataset	NOUN
cana-4829	95	6	perfect	perfect	ADJ
cana-4829	95	7	for	for	ADP
cana-4829	95	8	the	the	DET
cana-4829	95	9	training	training	NOUN
cana-4829	95	10	of	of	ADP
cana-4829	95	11	machine	machine	NOUN
cana-4829	95	12	learning	learning	NOUN
cana-4829	95	13	models	model	NOUN
cana-4829	95	14	[	[	X
cana-4829	95	15	21	21	NUM
cana-4829	95	16	]	]	PUNCT
cana-4829	95	17	.	.	PUNCT
cana-4829	96	1	the	the	DET
cana-4829	96	2	study	study	NOUN
cana-4829	96	3	made	make	VERB
cana-4829	96	4	use	use	NOUN
cana-4829	96	5	of	of	ADP
cana-4829	96	6	state	state	NOUN
cana-4829	96	7	-	-	PUNCT
cana-4829	96	8	of	of	ADP
cana-4829	96	9	-	-	PUNCT
cana-4829	96	10	the	the	DET
cana-4829	96	11	-	-	PUNCT
cana-4829	96	12	art	art	NOUN
cana-4829	96	13	machine	machine	NOUN
cana-4829	96	14	learning	learning	NOUN
cana-4829	96	15	models	model	NOUN
cana-4829	96	16	in	in	ADP
cana-4829	96	17	traffic	traffic	NOUN
cana-4829	96	18	classification	classification	NOUN
cana-4829	96	19	,	,	PUNCT
cana-4829	96	20	e.g.	e.g.	ADV
cana-4829	96	21	,	,	PUNCT
cana-4829	96	22	support	support	VERB
cana-4829	96	23	vector	vector	NOUN
cana-4829	96	24	machines	machine	NOUN
cana-4829	96	25	(	(	PUNCT
cana-4829	96	26	svms	svms	NOUN
cana-4829	96	27	)	)	PUNCT
cana-4829	96	28	,	,	PUNCT
cana-4829	96	29	logistic	logistic	ADJ
cana-4829	96	30	regression	regression	NOUN
cana-4829	96	31	,	,	PUNCT
cana-4829	96	32	and	and	CCONJ
cana-4829	96	33	k	k	X
cana-4829	96	34	-	-	PUNCT
cana-4829	96	35	nearest	near	ADJ
cana-4829	96	36	neighbors	neighbor	NOUN
cana-4829	96	37	(	(	PUNCT
cana-4829	96	38	knn	knn	PROPN
cana-4829	96	39	)	)	PUNCT
cana-4829	96	40	.	.	PUNCT
cana-4829	97	1	svms	svms	NOUN
cana-4829	97	2	were	be	AUX
cana-4829	97	3	enhanced	enhance	VERB
cana-4829	97	4	with	with	ADP
cana-4829	97	5	a	a	DET
cana-4829	97	6	feature	feature	NOUN
cana-4829	97	7	-	-	PUNCT
cana-4829	97	8	weighted	weight	VERB
cana-4829	97	9	-	-	PUNCT
cana-4829	97	10	degree	degree	NOUN
cana-4829	97	11	(	(	PUNCT
cana-4829	97	12	fwd	fwd	NOUN
cana-4829	97	13	-	-	PUNCT
cana-4829	97	14	svm	svm	ADJ
cana-4829	97	15	)	)	PUNCT
cana-4829	97	16	kernel	kernel	NOUN
cana-4829	97	17	in	in	ADP
cana-4829	97	18	order	order	NOUN
cana-4829	97	19	to	to	PART
cana-4829	97	20	eliminate	eliminate	VERB
cana-4829	97	21	the	the	DET
cana-4829	97	22	impact	impact	NOUN
cana-4829	97	23	of	of	ADP
cana-4829	97	24	weakly	weakly	ADV
cana-4829	97	25	correlated	correlate	VERB
cana-4829	97	26	and	and	CCONJ
cana-4829	97	27	redundant	redundant	ADJ
cana-4829	97	28	features	feature	NOUN
cana-4829	97	29	.	.	PUNCT
cana-4829	98	1	logistic	logistic	ADJ
cana-4829	98	2	regression	regression	NOUN
cana-4829	98	3	was	be	AUX
cana-4829	98	4	utilized	utilize	VERB
cana-4829	98	5	in	in	ADP
cana-4829	98	6	the	the	DET
cana-4829	98	7	classification	classification	NOUN
cana-4829	98	8	of	of	ADP
cana-4829	98	9	problems	problem	NOUN
cana-4829	98	10	with	with	ADP
cana-4829	98	11	only	only	ADV
cana-4829	98	12	two	two	NUM
cana-4829	98	13	classes	class	NOUN
cana-4829	98	14	,	,	PUNCT
cana-4829	98	15	distinguishing	distinguish	VERB
cana-4829	98	16	between	between	ADP
cana-4829	98	17	normal	normal	ADJ
cana-4829	98	18	and	and	CCONJ
cana-4829	98	19	malicious	malicious	ADJ
cana-4829	98	20	traffic	traffic	NOUN
cana-4829	98	21	,	,	PUNCT
cana-4829	98	22	while	while	SCONJ
cana-4829	98	23	knn	knn	PROPN
cana-4829	98	24	classified	classify	VERB
cana-4829	98	25	points	point	NOUN
cana-4829	98	26	based	base	VERB
cana-4829	98	27	on	on	ADP
cana-4829	98	28	the	the	DET
cana-4829	98	29	majority	majority	NOUN
cana-4829	98	30	category	category	NOUN
cana-4829	98	31	of	of	ADP
cana-4829	98	32	their	their	PRON
cana-4829	98	33	neighboring	neighboring	NOUN
cana-4829	98	34	points	point	NOUN
cana-4829	98	35	in	in	ADP
cana-4829	98	36	the	the	DET
cana-4829	98	37	feature	feature	NOUN
cana-4829	98	38	space	space	NOUN
cana-4829	98	39	and	and	CCONJ
cana-4829	98	40	the	the	DET
cana-4829	98	41	models	model	NOUN
cana-4829	98	42	were	be	AUX
cana-4829	98	43	evaluated	evaluate	VERB
cana-4829	98	44	based	base	VERB
cana-4829	98	45	on	on	ADP
cana-4829	98	46	metrics	metric	NOUN
cana-4829	98	47	such	such	ADJ
cana-4829	98	48	as	as	ADP
cana-4829	98	49	precision	precision	NOUN
cana-4829	98	50	,	,	PUNCT
cana-4829	98	51	precision	precision	NOUN
cana-4829	98	52	,	,	PUNCT
cana-4829	98	53	recall	recall	NOUN
cana-4829	98	54	,	,	PUNCT
cana-4829	98	55	and	and	CCONJ
cana-4829	98	56	f1	f1	NOUN
cana-4829	98	57	score	score	NOUN
cana-4829	98	58	in	in	ADP
cana-4829	98	59	classification	classification	NOUN
cana-4829	98	60	,	,	PUNCT
cana-4829	98	61	the	the	DET
cana-4829	98	62	models	model	NOUN
cana-4829	98	63	were	be	AUX
cana-4829	98	64	trained	train	VERB
cana-4829	98	65	under	under	ADP
cana-4829	98	66	varying	vary	VERB
cana-4829	98	67	network	network	NOUN
cana-4829	98	68	conditions	condition	NOUN
cana-4829	98	69	such	such	ADJ
cana-4829	98	70	as	as	ADP
cana-4829	98	71	varying	vary	VERB
cana-4829	98	72	traffic	traffic	NOUN
cana-4829	98	73	patterns	pattern	NOUN
cana-4829	98	74	,	,	PUNCT
cana-4829	98	75	busy	busy	ADJ
cana-4829	98	76	hours	hour	NOUN
cana-4829	98	77	,	,	PUNCT
cana-4829	98	78	and	and	CCONJ
cana-4829	98	79	events	event	NOUN
cana-4829	98	80	with	with	ADP
cana-4829	98	81	anomalous	anomalous	ADJ
cana-4829	98	82	resources	resource	NOUN
cana-4829	98	83	and	and	CCONJ
cana-4829	98	84	identify	identify	VERB
cana-4829	98	85	threats	threat	NOUN
cana-4829	98	86	.	.	PUNCT
cana-4829	99	1	the	the	DET
cana-4829	99	2	comprehensive	comprehensive	ADJ
cana-4829	99	3	method	method	NOUN
cana-4829	99	4	ensured	ensure	VERB
cana-4829	99	5	sound	sound	NOUN
cana-4829	99	6	and	and	CCONJ
cana-4829	99	7	.	.	PUNCT
cana-4829	100	1	the	the	DET
cana-4829	100	2	models	model	NOUN
cana-4829	100	3	'	'	PART
cana-4829	100	4	ability	ability	NOUN
cana-4829	100	5	was	be	AUX
cana-4829	100	6	tested	test	VERB
cana-4829	100	7	in	in	ADP
cana-4829	100	8	these	these	DET
cana-4829	100	9	experiments	experiment	NOUN
cana-4829	100	10	and	and	CCONJ
cana-4829	100	11	their	their	PRON
cana-4829	100	12	ability	ability	NOUN
cana-4829	100	13	to	to	PART
cana-4829	100	14	tune	tune	VERB
cana-4829	100	15	efficient	efficient	ADJ
cana-4829	100	16	models	model	NOUN
cana-4829	100	17	with	with	ADP
cana-4829	100	18	the	the	DET
cana-4829	100	19	ability	ability	NOUN
cana-4829	100	20	to	to	PART
cana-4829	100	21	address	address	VERB
cana-4829	100	22	modern	modern	ADJ
cana-4829	100	23	-	-	PUNCT
cana-4829	100	24	day	day	NOUN
cana-4829	100	25	network	network	NOUN
cana-4829	100	26	management	management	NOUN
cana-4829	100	27	problems	problem	NOUN
cana-4829	100	28	.	.	PUNCT
cana-4829	101	1	the	the	DET
cana-4829	101	2	improved	improve	VERB
cana-4829	101	3	feature	feature	NOUN
cana-4829	101	4	-	-	PUNCT
cana-4829	101	5	weighted	weight	VERB
cana-4829	101	6	-	-	PUNCT
cana-4829	101	7	degree	degree	NOUN
cana-4829	101	8	kernel	kernel	NOUN
cana-4829	101	9	with	with	ADP
cana-4829	101	10	the	the	DET
cana-4829	101	11	support	support	NOUN
cana-4829	101	12	vector	vector	NOUN
cana-4829	101	13	machines	machine	NOUN
cana-4829	101	14	(	(	PUNCT
cana-4829	101	15	svms	svms	NOUN
cana-4829	101	16	)	)	PUNCT
cana-4829	101	17	can	can	AUX
cana-4829	101	18	be	be	AUX
cana-4829	101	19	formulated	formulate	VERB
cana-4829	101	20	as	as	ADP
cana-4829	101	21	:	:	PUNCT
cana-4829	101	22	min	min	NOUN
cana-4829	101	23	1	1	NUM
cana-4829	101	24	2	2	NUM
cana-4829	101	25	‖𝜔‖2	‖𝜔‖2	NOUN
cana-4829	101	26	𝑠𝑢𝑏𝑗𝑒𝑐𝑡	𝑠𝑢𝑏𝑗𝑒𝑐𝑡	NOUN
cana-4829	101	27	𝑡𝑜	𝑡𝑜	PROPN
cana-4829	101	28	𝑦𝑖(𝜔	𝑦𝑖(𝜔	NOUN
cana-4829	101	29	∙	∙	PROPN
cana-4829	101	30	𝑥𝑖	𝑥𝑖	X
cana-4829	102	1	+	+	CCONJ
cana-4829	102	2	𝑏	𝑏	NOUN
cana-4829	102	3	)	)	PUNCT
cana-4829	102	4	≥	≥	NOUN
cana-4829	102	5	1	1	NUM
cana-4829	102	6	,	,	PUNCT
cana-4829	102	7	∀𝑖	∀𝑖	NUM
cana-4829	102	8	where	where	SCONJ
cana-4829	102	9	the	the	DET
cana-4829	102	10	kernel	kernel	PROPN
cana-4829	102	11	function	function	PROPN
cana-4829	102	12	k	k	PROPN
cana-4829	102	13	(	(	PUNCT
cana-4829	102	14	xi	xi	PROPN
cana-4829	102	15	,	,	PUNCT
cana-4829	102	16	xj	xj	NOUN
cana-4829	102	17	)	)	PUNCT
cana-4829	102	18	is	be	AUX
cana-4829	102	19	defined	define	VERB
cana-4829	102	20	as	as	ADP
cana-4829	102	21	:	:	PUNCT
cana-4829	102	22	𝐾(𝑥𝑖	𝐾(𝑥𝑖	ADJ
cana-4829	102	23	,	,	PUNCT
cana-4829	102	24	𝑥𝑗	𝑥𝑗	PROPN
cana-4829	102	25	)	)	PUNCT
cana-4829	102	26	=	=	SYM
cana-4829	103	1	𝑓𝑡	𝑓𝑡	PROPN
cana-4829	103	2	∙	∙	PROPN
cana-4829	103	3	(	(	PUNCT
cana-4829	103	4	𝑥𝑖	𝑥𝑖	PROPN
cana-4829	103	5	,	,	PUNCT
cana-4829	103	6	𝑥𝑗	𝑥𝑗	PROPN
cana-4829	103	7	)	)	PUNCT
cana-4829	103	8	with	with	ADP
cana-4829	103	9	ft	ft	PART
cana-4829	103	10	feature	feature	NOUN
cana-4829	103	11	importance	importance	NOUN
cana-4829	103	12	calculated	calculate	VERB
cana-4829	103	13	based	base	VERB
cana-4829	103	14	on	on	ADP
cana-4829	103	15	information	information	NOUN
cana-4829	103	16	gain	gain	NOUN
cana-4829	103	17	.	.	PUNCT
cana-4829	104	1	the	the	DET
cana-4829	104	2	enhanced	enhanced	ADJ
cana-4829	104	3	kernel	kernel	NOUN
cana-4829	104	4	ensures	ensure	VERB
cana-4829	104	5	features	feature	NOUN
cana-4829	104	6	with	with	ADP
cana-4829	104	7	high	high	ADJ
cana-4829	104	8	classification	classification	NOUN
cana-4829	104	9	importance	importance	NOUN
cana-4829	104	10	are	be	AUX
cana-4829	104	11	accorded	accord	VERB
cana-4829	104	12	high	high	ADJ
cana-4829	104	13	weight	weight	NOUN
cana-4829	104	14	,	,	PUNCT
cana-4829	104	15	and	and	CCONJ
cana-4829	104	16	the	the	DET
cana-4829	104	17	model	model	NOUN
cana-4829	104	18	is	be	AUX
cana-4829	104	19	improved	improve	VERB
cana-4829	104	20	in	in	ADP
cana-4829	104	21	precision	precision	NOUN
cana-4829	104	22	and	and	CCONJ
cana-4829	104	23	competency	competency	NOUN
cana-4829	104	24	in	in	ADP
cana-4829	104	25	handling	handle	VERB
cana-4829	104	26	network	network	NOUN
cana-4829	104	27	information	information	NOUN
cana-4829	104	28	and	and	CCONJ
cana-4829	104	29	in	in	ADP
cana-4829	104	30	performing	perform	VERB
cana-4829	104	31	binary	binary	ADJ
cana-4829	104	32	classification	classification	NOUN
cana-4829	104	33	problems	problem	NOUN
cana-4829	104	34	such	such	ADJ
cana-4829	104	35	as	as	ADP
cana-4829	104	36	separation	separation	NOUN
cana-4829	104	37	of	of	ADP
cana-4829	104	38	malicious	malicious	ADJ
cana-4829	104	39	and	and	CCONJ
cana-4829	104	40	normal	normal	ADJ
cana-4829	104	41	traffic	traffic	NOUN
cana-4829	104	42	.	.	PUNCT
cana-4829	105	1	the	the	DET
cana-4829	105	2	model	model	NOUN
cana-4829	105	3	makes	make	VERB
cana-4829	105	4	predictions	prediction	NOUN
cana-4829	105	5	on	on	ADP
cana-4829	105	6	the	the	DET
cana-4829	105	7	probability	probability	NOUN
cana-4829	105	8	p	p	X
cana-4829	105	9	(	(	PUNCT
cana-4829	105	10	y	y	NOUN
cana-4829	105	11	=	=	SYM
cana-4829	105	12	1	1	NUM
cana-4829	105	13	∣	∣	PROPN
cana-4829	105	14	x	x	NOUN
cana-4829	105	15	)	)	PUNCT
cana-4829	105	16	with	with	ADP
cana-4829	105	17	such	such	DET
cana-4829	105	18	an	an	DET
cana-4829	105	19	algorithm	algorithm	NOUN
cana-4829	105	20	is	be	AUX
cana-4829	105	21	efficient	efficient	ADJ
cana-4829	105	22	in	in	ADP
cana-4829	105	23	performing	perform	VERB
cana-4829	105	24	problems	problem	NOUN
cana-4829	105	25	with	with	ADP
cana-4829	105	26	distinct	distinct	ADJ
cana-4829	105	27	binary	binary	ADJ
cana-4829	105	28	outputs	output	NOUN
cana-4829	105	29	and	and	CCONJ
cana-4829	105	30	produces	produce	VERB
cana-4829	105	31	interpretable	interpretable	ADJ
cana-4829	105	32	results	result	NOUN
cana-4829	105	33	and	and	CCONJ
cana-4829	105	34	is	be	AUX
cana-4829	105	35	a	a	DET
cana-4829	105	36	reliable	reliable	ADJ
cana-4829	105	37	tool	tool	NOUN
cana-4829	105	38	in	in	ADP
cana-4829	105	39	identifying	identify	VERB
cana-4829	105	40	malicious	malicious	ADJ
cana-4829	105	41	traffic	traffic	NOUN
cana-4829	105	42	in	in	ADP
cana-4829	105	43	network	network	NOUN
cana-4829	105	44	information	information	NOUN
cana-4829	105	45	.	.	PUNCT
cana-4829	106	1	it	it	PRON
cana-4829	106	2	is	be	AUX
cana-4829	106	3	efficient	efficient	ADJ
cana-4829	106	4	and	and	CCONJ
cana-4829	106	5	simple	simple	ADJ
cana-4829	106	6	and	and	CCONJ
cana-4829	106	7	is	be	AUX
cana-4829	106	8	applicable	applicable	ADJ
cana-4829	106	9	in	in	ADP
cana-4829	106	10	performing	perform	VERB
cana-4829	106	11	classification	classification	NOUN
cana-4829	106	12	in	in	ADP
cana-4829	106	13	real	real	ADJ
cana-4829	106	14	-	-	PUNCT
cana-4829	106	15	time	time	NOUN
cana-4829	106	16	and	and	CCONJ
cana-4829	106	17	is	be	AUX
cana-4829	106	18	termed	term	VERB
cana-4829	106	19	as	as	ADP
cana-4829	106	20	:	:	PUNCT
cana-4829	106	21	𝑃(𝑦	𝑃(𝑦	X
cana-4829	106	22	=	=	SYM
cana-4829	106	23	1|𝑥	1|𝑥	NUM
cana-4829	106	24	)	)	PUNCT
cana-4829	106	25	=	=	SYM
cana-4829	106	26	1	1	NUM
cana-4829	106	27	1	1	NUM
cana-4829	106	28	+	+	CCONJ
cana-4829	106	29	𝑒−(𝑤⋅𝑥+𝑏	𝑒−(𝑤⋅𝑥+𝑏	NOUN
cana-4829	106	30	)	)	PUNCT
cana-4829	106	31	and	and	CCONJ
cana-4829	106	32	knn	knn	PROPN
cana-4829	106	33	labeled	label	VERB
cana-4829	106	34	the	the	DET
cana-4829	106	35	traffic	traffic	NOUN
cana-4829	106	36	data	datum	NOUN
cana-4829	106	37	on	on	ADP
cana-4829	106	38	the	the	DET
cana-4829	106	39	basis	basis	NOUN
cana-4829	106	40	of	of	ADP
cana-4829	106	41	feature	feature	NOUN
cana-4829	106	42	space	space	NOUN
cana-4829	106	43	proximity	proximity	NOUN
cana-4829	106	44	.	.	PUNCT
cana-4829	107	1	the	the	DET
cana-4829	107	2	distance	distance	NOUN
cana-4829	107	3	with	with	ADP
cana-4829	107	4	neighboring	neighboring	NOUN
cana-4829	107	5	points	point	NOUN
cana-4829	107	6	in	in	ADP
cana-4829	107	7	the	the	DET
cana-4829	107	8	euclidean	euclidean	ADJ
cana-4829	107	9	space	space	NOUN
cana-4829	107	10	is	be	AUX
cana-4829	107	11	determined	determine	VERB
cana-4829	107	12	in	in	ADP
cana-4829	107	13	a	a	DET
cana-4829	107	14	specific	specific	ADJ
cana-4829	107	15	data	data	NOUN
cana-4829	107	16	point	point	NOUN
cana-4829	107	17	where	where	SCONJ
cana-4829	107	18	xj	xj	PROPN
cana-4829	107	19	and	and	CCONJ
cana-4829	107	20	xi	xi	PROPN
cana-4829	107	21	,	,	PUNCT
cana-4829	107	22	j	j	PROPN
cana-4829	107	23	are	be	AUX
cana-4829	107	24	the	the	DET
cana-4829	107	25	j	j	PROPN
cana-4829	107	26	-	-	PUNCT
cana-4829	107	27	th	th	VERB
cana-4829	107	28	features	feature	NOUN
cana-4829	107	29	of	of	ADP
cana-4829	107	30	x	x	X
cana-4829	107	31	and	and	CCONJ
cana-4829	107	32	xi	xi	PROPN
cana-4829	107	33	,	,	PUNCT
cana-4829	107	34	respectively	respectively	ADV
cana-4829	107	35	.	.	PUNCT
cana-4829	108	1	the	the	DET
cana-4829	108	2	majority	majority	NOUN
cana-4829	108	3	vote	vote	NOUN
cana-4829	108	4	among	among	ADP
cana-4829	108	5	the	the	DET
cana-4829	108	6	neighboring	neighboring	NOUN
cana-4829	108	7	points	point	NOUN
cana-4829	108	8	is	be	AUX
cana-4829	108	9	labeled	label	VERB
cana-4829	108	10	in	in	ADP
cana-4829	108	11	the	the	DET
cana-4829	108	12	data	data	NOUN
cana-4829	108	13	point	point	NOUN
cana-4829	108	14	.	.	PUNCT
cana-4829	109	1	𝑑(𝑥	𝑑(𝑥	PROPN
cana-4829	109	2	,	,	PUNCT
cana-4829	109	3	𝑥𝑖	𝑥𝑖	PRON
cana-4829	109	4	)	)	PUNCT
cana-4829	109	5	=	=	PUNCT
cana-4829	109	6	√∑	√∑	NOUN
cana-4829	109	7	(	(	PUNCT
cana-4829	109	8	𝑚	𝑚	PROPN
cana-4829	109	9	𝑗=1	𝑗=1	PROPN
cana-4829	109	10	𝑥𝑖	𝑥𝑖	PROPN
cana-4829	109	11	−	−	PROPN
cana-4829	109	12	𝑥𝑖,𝑗)2	𝑥𝑖,𝑗)2	NOUN
cana-4829	109	13	knn	knn	PROPN
cana-4829	109	14	is	be	AUX
cana-4829	109	15	effective	effective	ADJ
cana-4829	109	16	in	in	ADP
cana-4829	109	17	locally	locally	ADV
cana-4829	109	18	smooth	smooth	ADJ
cana-4829	109	19	decision	decision	NOUN
cana-4829	109	20	boundaries	boundary	NOUN
cana-4829	109	21	but	but	CCONJ
cana-4829	109	22	is	be	AUX
cana-4829	109	23	dependent	dependent	ADJ
cana-4829	109	24	on	on	ADP
cana-4829	109	25	careful	careful	ADJ
cana-4829	109	26	tuning	tuning	NOUN
cana-4829	109	27	of	of	ADP
cana-4829	109	28	the	the	DET
cana-4829	109	29	hyperparameter	hyperparameter	NOUN
cana-4829	109	30	and	and	CCONJ
cana-4829	109	31	scaling	scale	VERB
cana-4829	109	32	features	feature	NOUN
cana-4829	109	33	in	in	ADP
cana-4829	109	34	the	the	DET
cana-4829	109	35	case	case	NOUN
cana-4829	109	36	of	of	ADP
cana-4829	109	37	classifications	classification	NOUN
cana-4829	109	38	in	in	ADP
cana-4829	109	39	computer	computer	NOUN
cana-4829	109	40	networks	network	NOUN
cana-4829	109	41	.	.	PUNCT
cana-4829	110	1	communications	communication	NOUN
cana-4829	110	2	on	on	ADP
cana-4829	110	3	applied	apply	VERB
cana-4829	110	4	nonlinear	nonlinear	ADJ
cana-4829	110	5	analysis	analysis	NOUN
cana-4829	110	6	issn	issn	NOUN
cana-4829	110	7	:	:	PUNCT
cana-4829	110	8	1074	1074	NUM
cana-4829	110	9	-	-	PUNCT
cana-4829	110	10	133x	133x	NUM
cana-4829	110	11	vol	vol	VERB
cana-4829	110	12	32	32	NUM
cana-4829	110	13	no	no	NOUN
cana-4829	110	14	.	.	PUNCT
cana-4829	111	1	10s	10	NOUN
cana-4829	111	2	(	(	PUNCT
cana-4829	111	3	2025	2025	NUM
cana-4829	111	4	)	)	PUNCT
cana-4829	111	5	364	364	NUM
cana-4829	111	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	111	7	4	4	NUM
cana-4829	111	8	.	.	PUNCT
cana-4829	111	9	model	model	NOUN
cana-4829	111	10	evaluation	evaluation	NOUN
cana-4829	111	11	the	the	DET
cana-4829	111	12	models	model	NOUN
cana-4829	111	13	are	be	AUX
cana-4829	111	14	graded	grade	VERB
cana-4829	111	15	on	on	ADP
cana-4829	111	16	the	the	DET
cana-4829	111	17	following	follow	VERB
cana-4829	111	18	precision	precision	NOUN
cana-4829	111	19	criteria	criterion	NOUN
cana-4829	111	20	where	where	SCONJ
cana-4829	111	21	tp	tp	NOUN
cana-4829	111	22	,	,	PUNCT
cana-4829	111	23	tn	tn	PROPN
cana-4829	111	24	,	,	PUNCT
cana-4829	111	25	fp	fp	NOUN
cana-4829	111	26	,	,	PUNCT
cana-4829	111	27	and	and	CCONJ
cana-4829	111	28	fn	fn	NOUN
cana-4829	111	29	are	be	AUX
cana-4829	111	30	true	true	ADJ
cana-4829	111	31	positives	positive	NOUN
cana-4829	111	32	,	,	PUNCT
cana-4829	111	33	true	true	ADJ
cana-4829	111	34	negatives	negative	NOUN
cana-4829	111	35	,	,	PUNCT
cana-4829	111	36	false	false	ADJ
cana-4829	111	37	positives	positive	NOUN
cana-4829	111	38	,	,	PUNCT
cana-4829	111	39	and	and	CCONJ
cana-4829	111	40	false	false	ADJ
cana-4829	111	41	negatives	negative	NOUN
cana-4829	111	42	respectively	respectively	ADV
cana-4829	111	43	as	as	ADP
cana-4829	111	44	:	:	PUNCT
cana-4829	111	45	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-4829	111	46	=	=	SYM
cana-4829	111	47	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	48	+	+	CCONJ
cana-4829	111	49	𝑇𝑁	𝑇𝑁	PROPN
cana-4829	111	50	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	51	+	+	CCONJ
cana-4829	111	52	𝑇𝑁	𝑇𝑁	PROPN
cana-4829	111	53	+	+	NUM
cana-4829	111	54	𝐹𝑃	𝐹𝑃	NOUN
cana-4829	111	55	+	+	CCONJ
cana-4829	111	56	𝐹𝑁	𝐹𝑁	PROPN
cana-4829	111	57	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-4829	111	58	=	=	SYM
cana-4829	111	59	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	60	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	61	+	+	CCONJ
cana-4829	111	62	𝐹𝑃	𝐹𝑃	PROPN
cana-4829	111	63	𝐹1	𝐹1	PROPN
cana-4829	111	64	𝑆𝑐𝑜𝑟𝑒	𝑆𝑐𝑜𝑟𝑒	PROPN
cana-4829	111	65	=	=	PROPN
cana-4829	111	66	2	2	NUM
cana-4829	111	67	⋅	⋅	PROPN
cana-4829	111	68	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-4829	111	69	⋅	⋅	PROPN
cana-4829	111	70	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-4829	111	71	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-4829	111	72	+	+	CCONJ
cana-4829	111	73	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-4829	111	74	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-4829	111	75	=	=	SYM
cana-4829	111	76	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	77	𝑇𝑃	𝑇𝑃	PROPN
cana-4829	111	78	+	+	CCONJ
cana-4829	111	79	𝐹𝑁	𝐹𝑁	PROPN
cana-4829	111	80	5	5	NUM
cana-4829	111	81	.	.	PUNCT
cana-4829	112	1	experiments	experiment	NOUN
cana-4829	112	2	protocols	protocol	NOUN
cana-4829	112	3	play	play	VERB
cana-4829	112	4	a	a	DET
cana-4829	112	5	significant	significant	ADJ
cana-4829	112	6	role	role	NOUN
cana-4829	112	7	in	in	ADP
cana-4829	112	8	local	local	ADJ
cana-4829	112	9	area	area	NOUN
cana-4829	112	10	network	network	NOUN
cana-4829	112	11	(	(	PUNCT
cana-4829	112	12	lan	lan	PROPN
cana-4829	112	13	)	)	PUNCT
cana-4829	112	14	traffic	traffic	NOUN
cana-4829	112	15	classification	classification	NOUN
cana-4829	112	16	and	and	CCONJ
cana-4829	112	17	have	have	VERB
cana-4829	112	18	a	a	DET
cana-4829	112	19	substantial	substantial	ADJ
cana-4829	112	20	influence	influence	NOUN
cana-4829	112	21	on	on	ADP
cana-4829	112	22	traffic	traffic	NOUN
cana-4829	112	23	nature	nature	NOUN
cana-4829	112	24	and	and	CCONJ
cana-4829	112	25	optimization	optimization	NOUN
cana-4829	112	26	.	.	PUNCT
cana-4829	113	1	udp	udp	NOUN
cana-4829	113	2	is	be	AUX
cana-4829	113	3	heavily	heavily	ADV
cana-4829	113	4	utilized	utilize	VERB
cana-4829	113	5	in	in	ADP
cana-4829	113	6	connectionless	connectionless	NOUN
cana-4829	113	7	and	and	CCONJ
cana-4829	113	8	high	high	ADJ
cana-4829	113	9	-	-	PUNCT
cana-4829	113	10	speed	speed	NOUN
cana-4829	113	11	communications	communication	NOUN
cana-4829	113	12	,	,	PUNCT
cana-4829	113	13	often	often	ADV
cana-4829	113	14	in	in	ADP
cana-4829	113	15	time	time	NOUN
cana-4829	113	16	-	-	PUNCT
cana-4829	113	17	critical	critical	ADJ
cana-4829	113	18	communications	communication	NOUN
cana-4829	113	19	such	such	ADJ
cana-4829	113	20	as	as	ADP
cana-4829	113	21	video	video	NOUN
cana-4829	113	22	streams	stream	NOUN
cana-4829	113	23	and	and	CCONJ
cana-4829	113	24	dns	dns	NOUN
cana-4829	113	25	queries	query	NOUN
cana-4829	113	26	,	,	PUNCT
cana-4829	113	27	while	while	SCONJ
cana-4829	113	28	tcp	tcp	INTJ
cana-4829	113	29	ensures	ensure	VERB
cana-4829	113	30	connection	connection	NOUN
cana-4829	113	31	-	-	PUNCT
cana-4829	113	32	oriented	orient	VERB
cana-4829	113	33	and	and	CCONJ
cana-4829	113	34	secure	secure	ADJ
cana-4829	113	35	resource	resource	NOUN
cana-4829	113	36	transmission	transmission	NOUN
cana-4829	113	37	in	in	ADP
cana-4829	113	38	communications	communication	NOUN
cana-4829	113	39	such	such	ADJ
cana-4829	113	40	as	as	ADP
cana-4829	113	41	http	http	NOUN
cana-4829	113	42	and	and	CCONJ
cana-4829	113	43	emails	email	NOUN
cana-4829	114	1	[	[	X
cana-4829	114	2	22	22	NUM
cana-4829	114	3	]	]	PUNCT
cana-4829	114	4	.	.	PUNCT
cana-4829	115	1	packet	packet	NOUN
cana-4829	115	2	length	length	NOUN
cana-4829	115	3	analysis	analysis	NOUN
cana-4829	115	4	with	with	ADP
cana-4829	115	5	a	a	DET
cana-4829	115	6	mean	mean	ADJ
cana-4829	115	7	length	length	NOUN
cana-4829	115	8	of	of	ADP
cana-4829	115	9	~1400	~1400	PUNCT
cana-4829	115	10	bits	bit	NOUN
cana-4829	115	11	show	show	VERB
cana-4829	115	12	clientserver	clientserver	NOUN
cana-4829	115	13	and	and	CCONJ
cana-4829	115	14	server	server	NOUN
cana-4829	115	15	-	-	PUNCT
cana-4829	115	16	client	client	NOUN
cana-4829	115	17	communications	communication	NOUN
cana-4829	115	18	and	and	CCONJ
cana-4829	115	19	distinguishes	distinguish	VERB
cana-4829	115	20	real	real	ADJ
cana-4829	115	21	-	-	PUNCT
cana-4829	115	22	time	time	NOUN
cana-4829	115	23	and	and	CCONJ
cana-4829	115	24	bulk	bulk	ADJ
cana-4829	115	25	transfers	transfer	NOUN
cana-4829	115	26	.	.	PUNCT
cana-4829	116	1	applicationoriented	applicationoriente	VERB
cana-4829	116	2	protocols	protocol	NOUN
cana-4829	116	3	such	such	ADJ
cana-4829	116	4	as	as	ADP
cana-4829	116	5	http	http	ADJ
cana-4829	116	6	/	/	SYM
cana-4829	116	7	https	https	NOUN
cana-4829	116	8	,	,	PUNCT
cana-4829	116	9	dns	dns	NOUN
cana-4829	116	10	,	,	PUNCT
cana-4829	116	11	smtp	smtp	NOUN
cana-4829	116	12	,	,	PUNCT
cana-4829	116	13	and	and	CCONJ
cana-4829	116	14	stream	stream	NOUN
cana-4829	116	15	-	-	PUNCT
cana-4829	116	16	oriented	orient	VERB
cana-4829	116	17	protocols	protocol	NOUN
cana-4829	116	18	refine	refine	VERB
cana-4829	116	19	the	the	DET
cana-4829	116	20	classification	classification	NOUN
cana-4829	116	21	.	.	PUNCT
cana-4829	117	1	in	in	ADP
cana-4829	117	2	-	-	PUNCT
cana-4829	117	3	depth	depth	NOUN
cana-4829	117	4	examination	examination	NOUN
cana-4829	117	5	of	of	ADP
cana-4829	117	6	protocols	protocol	NOUN
cana-4829	117	7	underlies	underlie	VERB
cana-4829	117	8	resource	resource	NOUN
cana-4829	117	9	provisioning	provisioning	NOUN
cana-4829	117	10	,	,	PUNCT
cana-4829	117	11	prevention	prevention	NOUN
cana-4829	117	12	of	of	ADP
cana-4829	117	13	congestion	congestion	NOUN
cana-4829	117	14	,	,	PUNCT
cana-4829	117	15	recognition	recognition	NOUN
cana-4829	117	16	of	of	ADP
cana-4829	117	17	anomalies	anomaly	NOUN
cana-4829	117	18	,	,	PUNCT
cana-4829	117	19	and	and	CCONJ
cana-4829	117	20	bandwidth	bandwidth	ADJ
cana-4829	117	21	prioritization	prioritization	NOUN
cana-4829	117	22	and	and	CCONJ
cana-4829	117	23	is	be	AUX
cana-4829	117	24	a	a	DET
cana-4829	117	25	sound	sound	ADJ
cana-4829	117	26	foundation	foundation	NOUN
cana-4829	117	27	on	on	ADP
cana-4829	117	28	which	which	PRON
cana-4829	117	29	machine	machine	NOUN
cana-4829	117	30	learning	learning	NOUN
cana-4829	117	31	models	model	NOUN
cana-4829	117	32	are	be	AUX
cana-4829	117	33	deployed	deploy	VERB
cana-4829	117	34	in	in	ADP
cana-4829	117	35	complex	complex	ADJ
cana-4829	117	36	and	and	CCONJ
cana-4829	117	37	adaptive	adaptive	ADJ
cana-4829	117	38	topologies	topology	NOUN
cana-4829	117	39	[	[	X
cana-4829	117	40	23	23	NUM
cana-4829	117	41	]	]	PUNCT
cana-4829	117	42	.	.	PUNCT
cana-4829	118	1	figure	figure	NOUN
cana-4829	118	2	–	–	PUNCT
cana-4829	118	3	2	2	NUM
cana-4829	118	4	above	above	ADP
cana-4829	118	5	bar	bar	NOUN
cana-4829	118	6	graph	graph	NOUN
cana-4829	118	7	shows	show	VERB
cana-4829	118	8	distribution	distribution	NOUN
cana-4829	118	9	of	of	ADP
cana-4829	118	10	usage	usage	NOUN
cana-4829	118	11	in	in	ADP
cana-4829	118	12	a	a	DET
cana-4829	118	13	local	local	ADJ
cana-4829	118	14	area	area	NOUN
cana-4829	118	15	network	network	NOUN
cana-4829	118	16	(	(	PUNCT
cana-4829	118	17	lan	lan	PROPN
cana-4829	118	18	)	)	PUNCT
cana-4829	118	19	among	among	ADP
cana-4829	118	20	various	various	ADJ
cana-4829	118	21	protocols	protocol	NOUN
cana-4829	118	22	.	.	PUNCT
cana-4829	119	1	arp	arp	PROPN
cana-4829	119	2	is	be	AUX
cana-4829	119	3	the	the	DET
cana-4829	119	4	highest	high	ADJ
cana-4829	119	5	with	with	ADP
cana-4829	119	6	over	over	ADP
cana-4829	119	7	2000	2000	NUM
cana-4829	119	8	occurrences	occurrence	NOUN
cana-4829	119	9	representing	represent	VERB
cana-4829	119	10	usage	usage	NOUN
cana-4829	119	11	in	in	ADP
cana-4829	119	12	resolution	resolution	NOUN
cana-4829	119	13	of	of	ADP
cana-4829	119	14	mac	mac	PROPN
cana-4829	119	15	address	address	NOUN
cana-4829	119	16	to	to	ADP
cana-4829	119	17	ip	ip	ADJ
cana-4829	119	18	address	address	NOUN
cana-4829	119	19	,	,	PUNCT
cana-4829	119	20	followed	follow	VERB
cana-4829	119	21	by	by	ADP
cana-4829	119	22	dns	dns	NOUN
cana-4829	119	23	representing	represent	VERB
cana-4829	119	24	frequent	frequent	ADJ
cana-4829	119	25	resolution	resolution	NOUN
cana-4829	119	26	request	request	NOUN
cana-4829	119	27	of	of	ADP
cana-4829	119	28	the	the	DET
cana-4829	119	29	name	name	NOUN
cana-4829	119	30	.	.	PUNCT
cana-4829	120	1	average	average	ADJ
cana-4829	120	2	usage	usage	NOUN
cana-4829	120	3	is	be	AUX
cana-4829	120	4	with	with	ADP
cana-4829	120	5	dhcp	dhcp	NOUN
cana-4829	120	6	and	and	CCONJ
cana-4829	120	7	mdns	mdns	NOUN
cana-4829	120	8	representing	represent	VERB
cana-4829	120	9	dynamic	dynamic	ADJ
cana-4829	120	10	address	address	NOUN
cana-4829	120	11	and	and	CCONJ
cana-4829	120	12	local	local	ADJ
cana-4829	120	13	name	name	NOUN
cana-4829	120	14	resolution	resolution	NOUN
cana-4829	120	15	,	,	PUNCT
cana-4829	120	16	respectively	respectively	ADV
cana-4829	120	17	.	.	PUNCT
cana-4829	121	1	tcp	tcp	PROPN
cana-4829	121	2	is	be	AUX
cana-4829	121	3	widely	widely	ADV
cana-4829	121	4	in	in	ADP
cana-4829	121	5	usage	usage	NOUN
cana-4829	121	6	with	with	ADP
cana-4829	121	7	high	high	ADJ
cana-4829	121	8	usage	usage	NOUN
cana-4829	121	9	representing	represent	VERB
cana-4829	121	10	usage	usage	NOUN
cana-4829	121	11	in	in	ADP
cana-4829	121	12	reliable	reliable	ADJ
cana-4829	121	13	communications	communication	NOUN
cana-4829	121	14	such	such	ADJ
cana-4829	121	15	as	as	ADP
cana-4829	121	16	in	in	ADP
cana-4829	121	17	http	http	NOUN
cana-4829	121	18	and	and	CCONJ
cana-4829	121	19	emails	email	NOUN
cana-4829	121	20	,	,	PUNCT
cana-4829	121	21	while	while	SCONJ
cana-4829	121	22	with	with	ADP
cana-4829	121	23	low	low	ADJ
cana-4829	121	24	usage	usage	NOUN
cana-4829	121	25	is	be	AUX
cana-4829	121	26	udp	udp	NOUN
cana-4829	121	27	representing	represent	VERB
cana-4829	121	28	low	low	ADJ
cana-4829	121	29	-	-	PUNCT
cana-4829	121	30	weight	weight	NOUN
cana-4829	121	31	and	and	CCONJ
cana-4829	121	32	latency	latency	NOUN
cana-4829	121	33	-	-	PUNCT
cana-4829	121	34	critical	critical	ADJ
cana-4829	121	35	usage	usage	NOUN
cana-4829	121	36	such	such	ADJ
cana-4829	121	37	as	as	ADP
cana-4829	121	38	in	in	ADP
cana-4829	121	39	video	video	NOUN
cana-4829	121	40	streams	stream	NOUN
cana-4829	121	41	.	.	PUNCT
cana-4829	122	1	tls	tls	NOUN
cana-4829	122	2	and	and	CCONJ
cana-4829	122	3	http	http	NOUN
cana-4829	122	4	with	with	ADP
cana-4829	122	5	low	low	ADJ
cana-4829	122	6	occurrences	occurrence	NOUN
cana-4829	122	7	represent	represent	VERB
cana-4829	122	8	low	low	ADJ
cana-4829	122	9	secure	secure	ADJ
cana-4829	122	10	usage	usage	NOUN
cana-4829	122	11	or	or	CCONJ
cana-4829	122	12	surfing	surfing	NOUN
cana-4829	122	13	.	.	PUNCT
cana-4829	123	1	the	the	DET
cana-4829	123	2	graph	graph	NOUN
cana-4829	123	3	shows	show	VERB
cana-4829	123	4	a	a	DET
cana-4829	123	5	combination	combination	NOUN
cana-4829	123	6	of	of	ADP
cana-4829	123	7	communications	communication	NOUN
cana-4829	123	8	,	,	PUNCT
cana-4829	123	9	resolution	resolution	NOUN
cana-4829	123	10	,	,	PUNCT
cana-4829	123	11	and	and	CCONJ
cana-4829	123	12	secure	secure	ADJ
cana-4829	123	13	communications	communication	NOUN
cana-4829	123	14	,	,	PUNCT
cana-4829	123	15	and	and	CCONJ
cana-4829	123	16	the	the	DET
cana-4829	123	17	information	information	NOUN
cana-4829	123	18	is	be	AUX
cana-4829	123	19	helpful	helpful	ADJ
cana-4829	123	20	in	in	ADP
cana-4829	123	21	optimizing	optimize	VERB
cana-4829	123	22	usage	usage	NOUN
cana-4829	123	23	and	and	CCONJ
cana-4829	123	24	improving	improve	VERB
cana-4829	123	25	network	network	NOUN
cana-4829	123	26	security	security	NOUN
cana-4829	123	27	[	[	X
cana-4829	123	28	24	24	NUM
cana-4829	123	29	]	]	PUNCT
cana-4829	123	30	.	.	PUNCT
cana-4829	124	1	figure	figure	NOUN
cana-4829	124	2	–	–	PUNCT
cana-4829	124	3	2	2	NUM
cana-4829	124	4	:	:	PUNCT
cana-4829	124	5	list	list	NOUN
cana-4829	124	6	of	of	ADP
cana-4829	124	7	protocols	protocol	NOUN
cana-4829	124	8	communications	communication	NOUN
cana-4829	124	9	on	on	ADP
cana-4829	124	10	applied	apply	VERB
cana-4829	124	11	nonlinear	nonlinear	ADJ
cana-4829	124	12	analysis	analysis	NOUN
cana-4829	124	13	issn	issn	NOUN
cana-4829	124	14	:	:	PUNCT
cana-4829	124	15	1074	1074	NUM
cana-4829	124	16	-	-	PUNCT
cana-4829	124	17	133x	133x	NUM
cana-4829	124	18	vol	vol	VERB
cana-4829	124	19	32	32	NUM
cana-4829	124	20	no	no	NOUN
cana-4829	124	21	.	.	PUNCT
cana-4829	125	1	10s	10	NOUN
cana-4829	125	2	(	(	PUNCT
cana-4829	125	3	2025	2025	NUM
cana-4829	125	4	)	)	PUNCT
cana-4829	125	5	365	365	NUM
cana-4829	125	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	125	7	figure	figure	NOUN
cana-4829	125	8	3(a	3(a	NUM
cana-4829	125	9	)	)	PUNCT
cana-4829	125	10	illustrates	illustrate	VERB
cana-4829	125	11	client	client	NOUN
cana-4829	125	12	-	-	PUNCT
cana-4829	125	13	server	server	NOUN
cana-4829	125	14	communications	communication	NOUN
cana-4829	125	15	in	in	ADP
cana-4829	125	16	a	a	DET
cana-4829	125	17	local	local	ADJ
cana-4829	125	18	area	area	NOUN
cana-4829	125	19	network	network	NOUN
cana-4829	125	20	(	(	PUNCT
cana-4829	125	21	lan	lan	PROPN
cana-4829	125	22	)	)	PUNCT
cana-4829	125	23	,	,	PUNCT
cana-4829	125	24	with	with	ADP
cana-4829	125	25	packet	packet	NOUN
cana-4829	125	26	lengths	length	NOUN
cana-4829	125	27	fluctuating	fluctuate	VERB
cana-4829	125	28	in	in	ADP
cana-4829	125	29	a	a	DET
cana-4829	125	30	range	range	NOUN
cana-4829	125	31	of	of	ADP
cana-4829	125	32	200	200	NUM
cana-4829	125	33	and	and	CCONJ
cana-4829	125	34	1400	1400	NUM
cana-4829	125	35	bits	bit	NOUN
cana-4829	125	36	and	and	CCONJ
cana-4829	125	37	with	with	ADP
cana-4829	125	38	frequent	frequent	ADJ
cana-4829	125	39	occurrences	occurrence	NOUN
cana-4829	125	40	of	of	ADP
cana-4829	125	41	shorter	short	ADJ
cana-4829	125	42	packets	packet	NOUN
cana-4829	125	43	corresponding	correspond	VERB
cana-4829	125	44	to	to	ADP
cana-4829	125	45	low	low	ADJ
cana-4829	125	46	-	-	PUNCT
cana-4829	125	47	weight	weight	NOUN
cana-4829	125	48	functions	function	NOUN
cana-4829	125	49	such	such	ADJ
cana-4829	125	50	as	as	ADP
cana-4829	125	51	querying	query	VERB
cana-4829	125	52	a	a	DET
cana-4829	125	53	name	name	NOUN
cana-4829	125	54	server	server	NOUN
cana-4829	125	55	.	.	PUNCT
cana-4829	126	1	periodical	periodical	ADJ
cana-4829	126	2	bursts	burst	NOUN
cana-4829	126	3	to	to	ADP
cana-4829	126	4	the	the	DET
cana-4829	126	5	largest	large	ADJ
cana-4829	126	6	packet	packet	NOUN
cana-4829	126	7	length	length	NOUN
cana-4829	126	8	(	(	PUNCT
cana-4829	126	9	~1400	~1400	NUM
cana-4829	126	10	bits	bit	NOUN
cana-4829	126	11	)	)	PUNCT
cana-4829	126	12	signify	signify	VERB
cana-4829	126	13	weighty	weighty	ADJ
cana-4829	126	14	functions	function	NOUN
cana-4829	126	15	such	such	ADJ
cana-4829	126	16	as	as	ADP
cana-4829	126	17	uploading	upload	VERB
cana-4829	126	18	a	a	DET
cana-4829	126	19	file	file	NOUN
cana-4829	126	20	[	[	X
cana-4829	126	21	25	25	NUM
cana-4829	126	22	]	]	PUNCT
cana-4829	126	23	.	.	PUNCT
cana-4829	127	1	figure	figure	NOUN
cana-4829	127	2	3(b	3(b	NUM
cana-4829	127	3	)	)	PUNCT
cana-4829	127	4	,	,	PUNCT
cana-4829	127	5	however	however	ADV
cana-4829	127	6	,	,	PUNCT
cana-4829	127	7	illustrates	illustrate	VERB
cana-4829	127	8	the	the	DET
cana-4829	127	9	graph	graph	NOUN
cana-4829	127	10	representing	represent	VERB
cana-4829	127	11	communications	communication	NOUN
cana-4829	127	12	in	in	ADP
cana-4829	127	13	the	the	DET
cana-4829	127	14	other	other	ADJ
cana-4829	127	15	direction	direction	NOUN
cana-4829	127	16	with	with	ADP
cana-4829	127	17	packet	packet	NOUN
cana-4829	127	18	lengths	length	NOUN
cana-4829	127	19	fluctuating	fluctuate	VERB
cana-4829	127	20	in	in	ADP
cana-4829	127	21	a	a	DET
cana-4829	127	22	similar	similar	ADJ
cana-4829	127	23	pattern	pattern	NOUN
cana-4829	127	24	but	but	CCONJ
cana-4829	127	25	with	with	ADP
cana-4829	127	26	a	a	DET
cana-4829	127	27	high	high	ADJ
cana-4829	127	28	frequency	frequency	NOUN
cana-4829	127	29	of	of	ADP
cana-4829	127	30	highest	high	ADJ
cana-4829	127	31	length	length	NOUN
cana-4829	127	32	packets	packet	NOUN
cana-4829	127	33	corresponding	correspond	VERB
cana-4829	127	34	to	to	ADP
cana-4829	127	35	transfers	transfer	NOUN
cana-4829	127	36	in	in	ADP
cana-4829	127	37	bulks	bulk	NOUN
cana-4829	127	38	or	or	CCONJ
cana-4829	127	39	download	download	NOUN
cana-4829	127	40	of	of	ADP
cana-4829	127	41	a	a	DET
cana-4829	127	42	file	file	NOUN
cana-4829	127	43	.	.	PUNCT
cana-4829	128	1	the	the	DET
cana-4829	128	2	shorter	short	ADJ
cana-4829	128	3	packets	packet	NOUN
cana-4829	128	4	in	in	ADP
cana-4829	128	5	a	a	DET
cana-4829	128	6	sequence	sequence	NOUN
cana-4829	128	7	with	with	ADP
cana-4829	128	8	longer	long	ADJ
cana-4829	128	9	ones	one	NOUN
cana-4829	128	10	are	be	AUX
cana-4829	128	11	assumed	assume	VERB
cana-4829	128	12	to	to	PART
cana-4829	128	13	signify	signify	VERB
cana-4829	128	14	the	the	DET
cana-4829	128	15	acknowledgments	acknowledgment	NOUN
cana-4829	128	16	and	and	CCONJ
cana-4829	128	17	the	the	DET
cana-4829	128	18	control	control	NOUN
cana-4829	128	19	messages	message	NOUN
cana-4829	128	20	.	.	PUNCT
cana-4829	129	1	(	(	PUNCT
cana-4829	129	2	a	a	X
cana-4829	129	3	)	)	PUNCT
cana-4829	129	4	(	(	PUNCT
cana-4829	129	5	b	b	X
cana-4829	129	6	)	)	PUNCT
cana-4829	129	7	figure	figure	NOUN
cana-4829	129	8	–	–	PUNCT
cana-4829	129	9	3	3	NUM
cana-4829	129	10	:	:	PUNCT
cana-4829	129	11	(	(	PUNCT
cana-4829	129	12	a	a	X
cana-4829	129	13	)	)	PUNCT
cana-4829	129	14	client	client	NOUN
cana-4829	129	15	packets	packet	NOUN
cana-4829	129	16	:	:	PUNCT
cana-4829	129	17	length	length	NOUN
cana-4829	129	18	vs.	vs.	ADP
cana-4829	129	19	time	time	NOUN
cana-4829	129	20	(	(	PUNCT
cana-4829	129	21	b	b	NOUN
cana-4829	129	22	)	)	PUNCT
cana-4829	129	23	server	server	NOUN
cana-4829	129	24	to	to	ADP
cana-4829	129	25	client	client	NOUN
cana-4829	129	26	packets	packet	NOUN
cana-4829	129	27	:	:	PUNCT
cana-4829	130	1	length	length	NOUN
cana-4829	130	2	vs.	vs.	ADP
cana-4829	130	3	time	time	NOUN
cana-4829	130	4	5.1	5.1	NUM
cana-4829	130	5	network	network	NOUN
cana-4829	130	6	traffic	traffic	NOUN
cana-4829	130	7	classification	classification	NOUN
cana-4829	130	8	analysis	analysis	NOUN
cana-4829	130	9	the	the	DET
cana-4829	130	10	logistic	logistic	ADJ
cana-4829	130	11	regression	regression	NOUN
cana-4829	130	12	model	model	NOUN
cana-4829	131	1	[	[	X
cana-4829	131	2	26	26	NUM
cana-4829	131	3	]	]	PUNCT
cana-4829	131	4	produced	produce	VERB
cana-4829	131	5	a	a	DET
cana-4829	131	6	high	high	ADJ
cana-4829	131	7	overall	overall	ADJ
cana-4829	131	8	classification	classification	NOUN
cana-4829	131	9	accuracy	accuracy	NOUN
cana-4829	131	10	rate	rate	NOUN
cana-4829	131	11	of	of	ADP
cana-4829	131	12	99.92	99.92	NUM
cana-4829	131	13	%	%	NOUN
cana-4829	131	14	in	in	ADP
cana-4829	131	15	distinguishing	distinguish	VERB
cana-4829	131	16	six	six	NUM
cana-4829	131	17	types	type	NOUN
cana-4829	131	18	of	of	ADP
cana-4829	131	19	networks	network	NOUN
cana-4829	131	20	traffics	traffic	NOUN
cana-4829	131	21	as	as	SCONJ
cana-4829	131	22	shown	show	VERB
cana-4829	131	23	in	in	ADP
cana-4829	131	24	figure	figure	NOUN
cana-4829	131	25	4	4	NUM
cana-4829	131	26	:	:	PUNCT
cana-4829	131	27	file	file	NOUN
cana-4829	131	28	sharing	sharing	NOUN
cana-4829	131	29	,	,	PUNCT
cana-4829	131	30	instant	instant	ADJ
cana-4829	131	31	message	message	NOUN
cana-4829	131	32	,	,	PUNCT
cana-4829	131	33	video	video	NOUN
cana-4829	131	34	,	,	PUNCT
cana-4829	131	35	voice	voice	NOUN
cana-4829	131	36	overip	overip	NOUN
cana-4829	131	37	,	,	PUNCT
cana-4829	131	38	email	email	NOUN
cana-4829	131	39	,	,	PUNCT
cana-4829	131	40	and	and	CCONJ
cana-4829	131	41	p2p	p2p	NOUN
cana-4829	131	42	.	.	PUNCT
cana-4829	132	1	the	the	DET
cana-4829	132	2	majority	majority	NOUN
cana-4829	132	3	of	of	ADP
cana-4829	132	4	classes	class	NOUN
cana-4829	132	5	such	such	ADJ
cana-4829	132	6	as	as	ADP
cana-4829	132	7	instant	instant	ADJ
cana-4829	132	8	message	message	NOUN
cana-4829	132	9	,	,	PUNCT
cana-4829	132	10	video	video	NOUN
cana-4829	132	11	,	,	PUNCT
cana-4829	132	12	voice	voice	NOUN
cana-4829	132	13	over	over	ADP
cana-4829	132	14	ip	ip	PROPN
cana-4829	132	15	,	,	PUNCT
cana-4829	132	16	and	and	CCONJ
cana-4829	132	17	email	email	NOUN
cana-4829	132	18	showed	show	VERB
cana-4829	132	19	a	a	DET
cana-4829	132	20	perfect	perfect	ADJ
cana-4829	132	21	precision	precision	NOUN
cana-4829	132	22	,	,	PUNCT
cana-4829	132	23	recall	recall	NOUN
cana-4829	132	24	,	,	PUNCT
cana-4829	132	25	and	and	CCONJ
cana-4829	132	26	f1	f1	NOUN
cana-4829	132	27	-	-	PUNCT
cana-4829	132	28	score	score	NOUN
cana-4829	132	29	,	,	PUNCT
cana-4829	132	30	representing	represent	VERB
cana-4829	132	31	a	a	DET
cana-4829	132	32	faultless	faultless	ADJ
cana-4829	132	33	classification	classification	NOUN
cana-4829	132	34	.	.	PUNCT
cana-4829	133	1	figure	figure	NOUN
cana-4829	133	2	–	–	PUNCT
cana-4829	133	3	4	4	NUM
cana-4829	133	4	:	:	PUNCT
cana-4829	133	5	logistic	logistic	ADJ
cana-4829	133	6	regression	regression	NOUN
cana-4829	133	7	model	model	NOUN
cana-4829	133	8	communications	communication	NOUN
cana-4829	133	9	on	on	ADP
cana-4829	133	10	applied	apply	VERB
cana-4829	133	11	nonlinear	nonlinear	ADJ
cana-4829	133	12	analysis	analysis	NOUN
cana-4829	133	13	issn	issn	NOUN
cana-4829	133	14	:	:	PUNCT
cana-4829	133	15	1074	1074	NUM
cana-4829	133	16	-	-	PUNCT
cana-4829	133	17	133x	133x	NUM
cana-4829	133	18	vol	vol	VERB
cana-4829	133	19	32	32	NUM
cana-4829	133	20	no	no	NOUN
cana-4829	133	21	.	.	PUNCT
cana-4829	134	1	10s	10	NOUN
cana-4829	134	2	(	(	PUNCT
cana-4829	134	3	2025	2025	NUM
cana-4829	134	4	)	)	PUNCT
cana-4829	134	5	366	366	NUM
cana-4829	134	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	134	7	file	file	NOUN
cana-4829	134	8	sharing	sharing	NOUN
cana-4829	134	9	produced	produce	VERB
cana-4829	134	10	high	high	ADJ
cana-4829	134	11	precision	precision	NOUN
cana-4829	134	12	with	with	ADP
cana-4829	134	13	a	a	DET
cana-4829	134	14	value	value	NOUN
cana-4829	134	15	of	of	ADP
cana-4829	134	16	0.96	0.96	NUM
cana-4829	134	17	and	and	CCONJ
cana-4829	134	18	high	high	ADJ
cana-4829	134	19	f1	f1	NOUN
cana-4829	134	20	-	-	PUNCT
cana-4829	134	21	score	score	NOUN
cana-4829	134	22	with	with	ADP
cana-4829	134	23	a	a	DET
cana-4829	134	24	value	value	NOUN
cana-4829	134	25	of	of	ADP
cana-4829	134	26	0.98	0.98	NUM
cana-4829	134	27	,	,	PUNCT
cana-4829	134	28	while	while	SCONJ
cana-4829	134	29	p2p	p2p	NOUN
cana-4829	134	30	traffic	traffic	NOUN
cana-4829	134	31	presented	present	VERB
cana-4829	134	32	low	low	ADJ
cana-4829	134	33	misclassification	misclassification	NOUN
cana-4829	134	34	with	with	ADP
cana-4829	134	35	a	a	DET
cana-4829	134	36	recall	recall	NOUN
cana-4829	134	37	rate	rate	NOUN
cana-4829	134	38	of	of	ADP
cana-4829	134	39	0.94	0.94	NUM
cana-4829	134	40	and	and	CCONJ
cana-4829	134	41	a	a	DET
cana-4829	134	42	low	low	ADJ
cana-4829	134	43	f1	f1	NOUN
cana-4829	134	44	-	-	PUNCT
cana-4829	134	45	score	score	NOUN
cana-4829	134	46	with	with	ADP
cana-4829	134	47	a	a	DET
cana-4829	134	48	value	value	NOUN
cana-4829	134	49	of	of	ADP
cana-4829	134	50	0.97	0.97	NUM
cana-4829	134	51	[	[	X
cana-4829	134	52	27	27	NUM
cana-4829	134	53	]	]	PUNCT
cana-4829	134	54	.	.	PUNCT
cana-4829	135	1	the	the	DET
cana-4829	135	2	confusion	confusion	NOUN
cana-4829	135	3	matrix	matrix	NOUN
cana-4829	135	4	shows	show	VERB
cana-4829	135	5	only	only	ADV
cana-4829	135	6	a	a	DET
cana-4829	135	7	low	low	ADJ
cana-4829	135	8	rate	rate	NOUN
cana-4829	135	9	of	of	ADP
cana-4829	135	10	two	two	NUM
cana-4829	135	11	misclassified	misclassifie	VERB
cana-4829	135	12	items	item	NOUN
cana-4829	135	13	,	,	PUNCT
cana-4829	135	14	confirming	confirm	VERB
cana-4829	135	15	the	the	DET
cana-4829	135	16	trustworthiness	trustworthiness	NOUN
cana-4829	135	17	of	of	ADP
cana-4829	135	18	the	the	DET
cana-4829	135	19	model	model	NOUN
cana-4829	135	20	.	.	PUNCT
cana-4829	136	1	the	the	DET
cana-4829	136	2	high	high	ADJ
cana-4829	136	3	performance	performance	NOUN
cana-4829	136	4	is	be	AUX
cana-4829	136	5	a	a	DET
cana-4829	136	6	testament	testament	NOUN
cana-4829	136	7	to	to	ADP
cana-4829	136	8	the	the	DET
cana-4829	136	9	suitability	suitability	NOUN
cana-4829	136	10	of	of	ADP
cana-4829	136	11	logistic	logistic	ADJ
cana-4829	136	12	regression	regression	NOUN
cana-4829	136	13	in	in	ADP
cana-4829	136	14	network	network	NOUN
cana-4829	136	15	traffic	traffic	NOUN
cana-4829	136	16	classification	classification	NOUN
cana-4829	136	17	,	,	PUNCT
cana-4829	136	18	and	and	CCONJ
cana-4829	136	19	in	in	ADP
cana-4829	136	20	particular	particular	ADJ
cana-4829	136	21	in	in	ADP
cana-4829	136	22	datasets	dataset	NOUN
cana-4829	136	23	with	with	ADP
cana-4829	136	24	clearly	clearly	ADV
cana-4829	136	25	distinct	distinct	ADJ
cana-4829	136	26	and	and	CCONJ
cana-4829	136	27	discernible	discernible	ADJ
cana-4829	136	28	categories	category	NOUN
cana-4829	136	29	of	of	ADP
cana-4829	136	30	traffics	traffic	NOUN
cana-4829	136	31	,	,	PUNCT
cana-4829	136	32	and	and	CCONJ
cana-4829	136	33	supports	support	VERB
cana-4829	136	34	efficient	efficient	ADJ
cana-4829	136	35	network	network	NOUN
cana-4829	136	36	administration	administration	NOUN
cana-4829	136	37	and	and	CCONJ
cana-4829	136	38	protection	protection	NOUN
cana-4829	136	39	[	[	X
cana-4829	136	40	28	28	NUM
cana-4829	136	41	]	]	PUNCT
cana-4829	136	42	.	.	PUNCT
cana-4829	137	1	the	the	DET
cana-4829	137	2	figure	figure	NOUN
cana-4829	137	3	-5	-5	PUNCT
cana-4829	137	4	shows	show	VERB
cana-4829	137	5	how	how	SCONJ
cana-4829	137	6	support	support	NOUN
cana-4829	137	7	vector	vector	NOUN
cana-4829	137	8	machine	machine	NOUN
cana-4829	137	9	(	(	PUNCT
cana-4829	137	10	svm	svm	PROPN
cana-4829	137	11	)	)	PUNCT
cana-4829	137	12	model	model	NOUN
cana-4829	138	1	[	[	X
cana-4829	138	2	30	30	NUM
cana-4829	138	3	]	]	PUNCT
cana-4829	138	4	gave	give	VERB
cana-4829	138	5	superior	superior	ADJ
cana-4829	138	6	performance	performance	NOUN
cana-4829	138	7	in	in	ADP
cana-4829	138	8	classification	classification	NOUN
cana-4829	138	9	of	of	ADP
cana-4829	138	10	six	six	NUM
cana-4829	138	11	types	type	NOUN
cana-4829	138	12	of	of	ADP
cana-4829	138	13	networks	network	NOUN
cana-4829	138	14	traffics	traffic	NOUN
cana-4829	138	15	—	—	PUNCT
cana-4829	138	16	file	file	NOUN
cana-4829	138	17	sharing	sharing	NOUN
cana-4829	138	18	,	,	PUNCT
cana-4829	138	19	instant	instant	ADJ
cana-4829	138	20	message	message	NOUN
cana-4829	138	21	,	,	PUNCT
cana-4829	138	22	video	video	NOUN
cana-4829	138	23	,	,	PUNCT
cana-4829	138	24	voice	voice	NOUN
cana-4829	138	25	overip	overip	NOUN
cana-4829	138	26	,	,	PUNCT
cana-4829	138	27	email	email	NOUN
cana-4829	138	28	,	,	PUNCT
cana-4829	138	29	and	and	CCONJ
cana-4829	138	30	p2p	p2p	NOUN
cana-4829	138	31	—	—	PUNCT
cana-4829	138	32	and	and	CCONJ
cana-4829	138	33	a	a	DET
cana-4829	138	34	classification	classification	NOUN
cana-4829	138	35	precision	precision	NOUN
cana-4829	138	36	rate	rate	NOUN
cana-4829	138	37	of	of	ADP
cana-4829	138	38	99.30	99.30	NUM
cana-4829	138	39	%	%	NOUN
cana-4829	138	40	.	.	PUNCT
cana-4829	139	1	all	all	PRON
cana-4829	139	2	but	but	SCONJ
cana-4829	139	3	file	file	VERB
cana-4829	139	4	sharing	sharing	NOUN
cana-4829	139	5	and	and	CCONJ
cana-4829	139	6	email	email	NOUN
cana-4829	139	7	traffics	traffic	NOUN
cana-4829	139	8	gave	give	VERB
cana-4829	139	9	near	near	ADV
cana-4829	139	10	-	-	PUNCT
cana-4829	139	11	perfect	perfect	ADJ
cana-4829	139	12	precision	precision	NOUN
cana-4829	139	13	,	,	PUNCT
cana-4829	139	14	recall	recall	NOUN
cana-4829	139	15	,	,	PUNCT
cana-4829	139	16	and	and	CCONJ
cana-4829	139	17	f1	f1	NOUN
cana-4829	139	18	-	-	PUNCT
cana-4829	139	19	scores	score	NOUN
cana-4829	139	20	,	,	PUNCT
cana-4829	139	21	indicating	indicate	VERB
cana-4829	139	22	high	high	ADJ
cana-4829	139	23	precision	precision	NOUN
cana-4829	139	24	in	in	ADP
cana-4829	139	25	classification	classification	NOUN
cana-4829	139	26	.	.	PUNCT
cana-4829	140	1	the	the	DET
cana-4829	140	2	file	file	NOUN
cana-4829	140	3	sharing	sharing	NOUN
cana-4829	140	4	and	and	CCONJ
cana-4829	140	5	email	email	NOUN
cana-4829	140	6	traffics	traffic	NOUN
cana-4829	140	7	gave	give	VERB
cana-4829	140	8	low	low	ADJ
cana-4829	140	9	misclassification	misclassification	NOUN
cana-4829	140	10	with	with	ADP
cana-4829	140	11	four	four	NUM
cana-4829	140	12	and	and	CCONJ
cana-4829	140	13	14	14	NUM
cana-4829	140	14	,	,	PUNCT
cana-4829	140	15	and	and	CCONJ
cana-4829	140	16	lower	low	ADJ
cana-4829	140	17	corresponding	correspond	VERB
cana-4829	140	18	recall	recall	NOUN
cana-4829	140	19	ratings	rating	NOUN
cana-4829	140	20	of	of	ADP
cana-4829	140	21	0.91	0.91	NUM
cana-4829	140	22	and	and	CCONJ
cana-4829	140	23	0.98	0.98	NUM
cana-4829	140	24	[	[	X
cana-4829	140	25	29	29	NUM
cana-4829	140	26	]	]	PUNCT
cana-4829	140	27	.	.	PUNCT
cana-4829	141	1	despite	despite	SCONJ
cana-4829	141	2	these	these	DET
cana-4829	141	3	low	low	ADJ
cana-4829	141	4	-	-	PUNCT
cana-4829	141	5	magnitude	magnitude	NOUN
cana-4829	141	6	inaccuracies	inaccuracy	NOUN
cana-4829	141	7	,	,	PUNCT
cana-4829	141	8	high	high	ADJ
cana-4829	141	9	precision	precision	NOUN
cana-4829	141	10	and	and	CCONJ
cana-4829	141	11	high	high	ADJ
cana-4829	141	12	recall	recall	NOUN
cana-4829	141	13	in	in	ADP
cana-4829	141	14	every	every	DET
cana-4829	141	15	category	category	NOUN
cana-4829	141	16	are	be	AUX
cana-4829	141	17	a	a	DET
cana-4829	141	18	testament	testament	NOUN
cana-4829	141	19	to	to	ADP
cana-4829	141	20	high	high	ADJ
cana-4829	141	21	quality	quality	NOUN
cana-4829	141	22	and	and	CCONJ
cana-4829	141	23	efficiency	efficiency	NOUN
cana-4829	141	24	in	in	ADP
cana-4829	141	25	classification	classification	NOUN
cana-4829	141	26	and	and	CCONJ
cana-4829	141	27	high	high	ADJ
cana-4829	141	28	performance	performance	NOUN
cana-4829	141	29	in	in	ADP
cana-4829	141	30	handling	handle	VERB
cana-4829	141	31	disparate	disparate	ADJ
cana-4829	141	32	network	network	NOUN
cana-4829	141	33	conditions	condition	NOUN
cana-4829	141	34	.	.	PUNCT
cana-4829	142	1	these	these	DET
cana-4829	142	2	results	result	NOUN
cana-4829	142	3	are	be	AUX
cana-4829	142	4	a	a	DET
cana-4829	142	5	testament	testament	NOUN
cana-4829	142	6	to	to	PART
cana-4829	142	7	svm	svm	VERB
cana-4829	142	8	’s	’s	PART
cana-4829	142	9	potential	potential	NOUN
cana-4829	142	10	in	in	ADP
cana-4829	142	11	efficient	efficient	ADJ
cana-4829	142	12	resource	resource	NOUN
cana-4829	142	13	distribution	distribution	NOUN
cana-4829	142	14	and	and	CCONJ
cana-4829	142	15	enhanced	enhance	VERB
cana-4829	142	16	protection	protection	NOUN
cana-4829	142	17	in	in	ADP
cana-4829	142	18	complex	complex	ADJ
cana-4829	142	19	and	and	CCONJ
cana-4829	142	20	diverse	diverse	VERB
cana-4829	142	21	traffics	traffic	NOUN
cana-4829	142	22	.	.	PUNCT
cana-4829	143	1	figure	figure	NOUN
cana-4829	143	2	–	–	PUNCT
cana-4829	143	3	5	5	NUM
cana-4829	143	4	:	:	PUNCT
cana-4829	143	5	support	support	NOUN
cana-4829	143	6	vector	vector	NOUN
cana-4829	143	7	machine	machine	NOUN
cana-4829	143	8	(	(	PUNCT
cana-4829	143	9	svm	svm	ADJ
cana-4829	143	10	)	)	PUNCT
cana-4829	143	11	model	model	NOUN
cana-4829	143	12	figure	figure	NOUN
cana-4829	143	13	6	6	NUM
cana-4829	143	14	illustrates	illustrate	VERB
cana-4829	143	15	how	how	SCONJ
cana-4829	143	16	the	the	DET
cana-4829	143	17	k	k	NOUN
cana-4829	143	18	-	-	PUNCT
cana-4829	143	19	nearest	near	ADJ
cana-4829	143	20	neighbors	neighbor	NOUN
cana-4829	143	21	(	(	PUNCT
cana-4829	143	22	knn	knn	PROPN
cana-4829	143	23	)	)	PUNCT
cana-4829	143	24	model	model	NOUN
cana-4829	143	25	achieved	achieve	VERB
cana-4829	143	26	a	a	DET
cana-4829	143	27	high	high	ADJ
cana-4829	143	28	general	general	ADJ
cana-4829	143	29	classification	classification	NOUN
cana-4829	143	30	rate	rate	NOUN
cana-4829	143	31	of	of	ADP
cana-4829	143	32	99.92	99.92	NUM
cana-4829	143	33	%	%	NOUN
cana-4829	143	34	in	in	ADP
cana-4829	143	35	classifying	classify	VERB
cana-4829	143	36	six	six	NUM
cana-4829	143	37	types	type	NOUN
cana-4829	143	38	of	of	ADP
cana-4829	143	39	networks	network	NOUN
cana-4829	143	40	traffics	traffic	NOUN
cana-4829	143	41	:	:	PUNCT
cana-4829	143	42	file	file	NOUN
cana-4829	143	43	sharing	sharing	NOUN
cana-4829	143	44	,	,	PUNCT
cana-4829	143	45	instant	instant	ADJ
cana-4829	143	46	message	message	NOUN
cana-4829	143	47	,	,	PUNCT
cana-4829	143	48	video	video	NOUN
cana-4829	143	49	,	,	PUNCT
cana-4829	143	50	voice	voice	NOUN
cana-4829	143	51	overip	overip	NOUN
cana-4829	143	52	,	,	PUNCT
cana-4829	143	53	email	email	NOUN
cana-4829	143	54	,	,	PUNCT
cana-4829	143	55	and	and	CCONJ
cana-4829	143	56	p2p	p2p	NOUN
cana-4829	143	57	.	.	PUNCT
cana-4829	144	1	most	most	ADJ
cana-4829	144	2	of	of	ADP
cana-4829	144	3	the	the	DET
cana-4829	144	4	traffics	traffic	NOUN
cana-4829	144	5	,	,	PUNCT
cana-4829	144	6	e.g.	e.g.	ADV
cana-4829	144	7	,	,	PUNCT
cana-4829	144	8	instant	instant	ADJ
cana-4829	144	9	message	message	NOUN
cana-4829	144	10	,	,	PUNCT
cana-4829	144	11	video	video	NOUN
cana-4829	144	12	,	,	PUNCT
cana-4829	144	13	voice	voice	NOUN
cana-4829	144	14	overip	overip	NOUN
cana-4829	144	15	,	,	PUNCT
cana-4829	144	16	and	and	CCONJ
cana-4829	144	17	email	email	NOUN
cana-4829	144	18	,	,	PUNCT
cana-4829	144	19	had	have	VERB
cana-4829	144	20	a	a	DET
cana-4829	144	21	perfect	perfect	ADJ
cana-4829	144	22	precision	precision	NOUN
cana-4829	144	23	,	,	PUNCT
cana-4829	144	24	recall	recall	NOUN
cana-4829	144	25	,	,	PUNCT
cana-4829	144	26	and	and	CCONJ
cana-4829	144	27	f1	f1	NOUN
cana-4829	144	28	-	-	PUNCT
cana-4829	144	29	score	score	NOUN
cana-4829	144	30	,	,	PUNCT
cana-4829	144	31	representing	represent	VERB
cana-4829	144	32	impeccable	impeccable	ADJ
cana-4829	144	33	classification	classification	NOUN
cana-4829	144	34	.	.	PUNCT
cana-4829	145	1	file	file	NOUN
cana-4829	145	2	sharing	sharing	NOUN
cana-4829	145	3	posted	post	VERB
cana-4829	145	4	high	high	ADJ
cana-4829	145	5	recall	recall	NOUN
cana-4829	145	6	(	(	PUNCT
cana-4829	145	7	1.00	1.00	NUM
cana-4829	145	8	)	)	PUNCT
cana-4829	145	9	with	with	ADP
cana-4829	145	10	precision	precision	NOUN
cana-4829	145	11	equal	equal	ADJ
cana-4829	145	12	to	to	ADP
cana-4829	145	13	0.96	0.96	NUM
cana-4829	145	14	and	and	CCONJ
cana-4829	145	15	f1	f1	NOUN
cana-4829	145	16	-	-	PUNCT
cana-4829	145	17	score	score	NOUN
cana-4829	145	18	equal	equal	ADJ
cana-4829	145	19	to	to	ADP
cana-4829	145	20	0.98	0.98	NUM
cana-4829	145	21	,	,	PUNCT
cana-4829	145	22	while	while	SCONJ
cana-4829	145	23	p2p	p2p	NOUN
cana-4829	145	24	traffic	traffic	NOUN
cana-4829	145	25	posted	post	VERB
cana-4829	145	26	a	a	DET
cana-4829	145	27	low	low	ADJ
cana-4829	145	28	level	level	NOUN
cana-4829	145	29	of	of	ADP
cana-4829	145	30	misclassification	misclassification	NOUN
cana-4829	145	31	with	with	ADP
cana-4829	145	32	only	only	ADV
cana-4829	145	33	two	two	NUM
cana-4829	145	34	observations	observation	NOUN
cana-4829	145	35	classified	classify	VERB
cana-4829	145	36	in	in	ADP
cana-4829	145	37	a	a	DET
cana-4829	145	38	wrong	wrong	ADJ
cana-4829	145	39	way	way	NOUN
cana-4829	145	40	,	,	PUNCT
cana-4829	145	41	giving	give	VERB
cana-4829	145	42	a	a	DET
cana-4829	145	43	recall	recall	NOUN
cana-4829	145	44	rate	rate	NOUN
cana-4829	145	45	equal	equal	ADJ
cana-4829	145	46	to	to	ADP
cana-4829	145	47	0.94	0.94	NUM
cana-4829	145	48	and	and	CCONJ
cana-4829	145	49	f1	f1	NOUN
cana-4829	145	50	-	-	PUNCT
cana-4829	145	51	score	score	NOUN
cana-4829	145	52	equal	equal	ADJ
cana-4829	145	53	to	to	ADP
cana-4829	145	54	0.97	0.97	NUM
cana-4829	145	55	.	.	PUNCT
cana-4829	146	1	the	the	DET
cana-4829	146	2	ability	ability	NOUN
cana-4829	146	3	of	of	ADP
cana-4829	146	4	the	the	DET
cana-4829	146	5	model	model	NOUN
cana-4829	146	6	to	to	PART
cana-4829	146	7	classify	classify	VERB
cana-4829	146	8	diverse	diverse	ADJ
cana-4829	146	9	traffics	traffic	NOUN
cana-4829	146	10	with	with	ADP
cana-4829	146	11	low	low	ADJ
cana-4829	146	12	errors	error	NOUN
cana-4829	146	13	illustrates	illustrate	VERB
cana-4829	146	14	how	how	SCONJ
cana-4829	146	15	robust	robust	ADJ
cana-4829	146	16	and	and	CCONJ
cana-4829	146	17	fit	fit	ADJ
cana-4829	146	18	the	the	DET
cana-4829	146	19	model	model	NOUN
cana-4829	146	20	is	be	AUX
cana-4829	146	21	in	in	ADP
cana-4829	146	22	network	network	NOUN
cana-4829	146	23	traffics	traffic	NOUN
cana-4829	146	24	classification	classification	NOUN
cana-4829	146	25	.	.	PUNCT
cana-4829	147	1	the	the	DET
cana-4829	147	2	performance	performance	NOUN
cana-4829	147	3	confirms	confirm	VERB
cana-4829	147	4	the	the	DET
cana-4829	147	5	fact	fact	NOUN
cana-4829	147	6	that	that	SCONJ
cana-4829	147	7	knn	knn	PROPN
cana-4829	147	8	is	be	AUX
cana-4829	147	9	a	a	DET
cana-4829	147	10	reliable	reliable	ADJ
cana-4829	147	11	tool	tool	NOUN
cana-4829	147	12	in	in	ADP
cana-4829	147	13	efficient	efficient	ADJ
cana-4829	147	14	network	network	NOUN
cana-4829	147	15	administration	administration	NOUN
cana-4829	147	16	,	,	PUNCT
cana-4829	147	17	provisioning	provision	VERB
cana-4829	147	18	resources	resource	NOUN
cana-4829	147	19	,	,	PUNCT
cana-4829	147	20	and	and	CCONJ
cana-4829	147	21	augmenting	augment	VERB
cana-4829	147	22	network	network	NOUN
cana-4829	147	23	protection	protection	NOUN
cana-4829	147	24	.	.	PUNCT
cana-4829	148	1	communications	communication	NOUN
cana-4829	148	2	on	on	ADP
cana-4829	148	3	applied	apply	VERB
cana-4829	148	4	nonlinear	nonlinear	ADJ
cana-4829	148	5	analysis	analysis	NOUN
cana-4829	148	6	issn	issn	NOUN
cana-4829	148	7	:	:	PUNCT
cana-4829	148	8	1074	1074	NUM
cana-4829	148	9	-	-	PUNCT
cana-4829	148	10	133x	133x	NUM
cana-4829	148	11	vol	vol	VERB
cana-4829	148	12	32	32	NUM
cana-4829	148	13	no	no	NOUN
cana-4829	148	14	.	.	PUNCT
cana-4829	149	1	10s	10	NOUN
cana-4829	149	2	(	(	PUNCT
cana-4829	149	3	2025	2025	NUM
cana-4829	149	4	)	)	PUNCT
cana-4829	149	5	367	367	NUM
cana-4829	150	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	150	2	figure	figure	NOUN
cana-4829	150	3	–	–	PUNCT
cana-4829	150	4	6	6	NUM
cana-4829	150	5	:	:	PUNCT
cana-4829	150	6	k	k	ADJ
cana-4829	150	7	-	-	PUNCT
cana-4829	150	8	nearest	near	ADJ
cana-4829	150	9	neighbors	neighbor	NOUN
cana-4829	150	10	(	(	PUNCT
cana-4829	150	11	knn	knn	PROPN
cana-4829	150	12	)	)	PUNCT
cana-4829	150	13	model	model	NOUN
cana-4829	150	14	table	table	NOUN
cana-4829	150	15	–	–	PUNCT
cana-4829	150	16	1	1	NUM
cana-4829	150	17	:	:	PUNCT
cana-4829	150	18	comparison	comparison	NOUN
cana-4829	150	19	of	of	ADP
cana-4829	150	20	logistic	logistic	ADJ
cana-4829	150	21	regression	regression	NOUN
cana-4829	150	22	,	,	PUNCT
cana-4829	150	23	svm	svm	PROPN
cana-4829	150	24	,	,	PUNCT
cana-4829	150	25	and	and	CCONJ
cana-4829	150	26	knn	knn	PROPN
cana-4829	150	27	models	model	NOUN
cana-4829	150	28	model	model	VERB
cana-4829	150	29	overall	overall	ADJ
cana-4829	150	30	accuracy	accuracy	NOUN
cana-4829	150	31	perfectly	perfectly	ADV
cana-4829	150	32	classified	classified	ADJ
cana-4829	150	33	traffic	traffic	NOUN
cana-4829	150	34	types	type	NOUN
cana-4829	150	35	strengths	strength	VERB
cana-4829	150	36	logistic	logistic	ADJ
cana-4829	150	37	regression	regression	NOUN
cana-4829	150	38	99.92	99.92	NUM
cana-4829	150	39	%	%	NOUN
cana-4829	150	40	instant	instant	ADJ
cana-4829	150	41	message	message	NOUN
cana-4829	150	42	,	,	PUNCT
cana-4829	150	43	video	video	NOUN
cana-4829	150	44	,	,	PUNCT
cana-4829	150	45	voice	voice	NOUN
cana-4829	150	46	overip	overip	NOUN
cana-4829	150	47	,	,	PUNCT
cana-4829	150	48	email	email	NOUN
cana-4829	150	49	high	high	ADJ
cana-4829	150	50	accuracy	accuracy	NOUN
cana-4829	150	51	,	,	PUNCT
cana-4829	150	52	simple	simple	ADJ
cana-4829	150	53	implementation	implementation	NOUN
cana-4829	150	54	,	,	PUNCT
cana-4829	150	55	reliable	reliable	ADJ
cana-4829	150	56	for	for	ADP
cana-4829	150	57	welldefined	welldefine	VERB
cana-4829	150	58	datasets	dataset	NOUN
cana-4829	150	59	,	,	PUNCT
cana-4829	150	60	suitable	suitable	ADJ
cana-4829	150	61	for	for	ADP
cana-4829	150	62	network	network	NOUN
cana-4829	150	63	security	security	NOUN
cana-4829	150	64	and	and	CCONJ
cana-4829	150	65	resource	resource	NOUN
cana-4829	150	66	management	management	NOUN
cana-4829	150	67	.	.	PUNCT
cana-4829	151	1	support	support	NOUN
cana-4829	151	2	vector	vector	NOUN
cana-4829	151	3	machine	machine	NOUN
cana-4829	151	4	(	(	PUNCT
cana-4829	151	5	svm	svm	PROPN
cana-4829	151	6	)	)	PUNCT
cana-4829	151	7	99.30	99.30	NUM
cana-4829	151	8	%	%	NOUN
cana-4829	151	9	instant	instant	ADJ
cana-4829	151	10	message	message	NOUN
cana-4829	151	11	,	,	PUNCT
cana-4829	151	12	video	video	NOUN
cana-4829	151	13	,	,	PUNCT
cana-4829	151	14	voice	voice	NOUN
cana-4829	151	15	overip	overip	NOUN
cana-4829	151	16	,	,	PUNCT
cana-4829	151	17	p2p	p2p	NOUN
cana-4829	151	18	exceptional	exceptional	ADJ
cana-4829	151	19	handling	handling	NOUN
cana-4829	151	20	of	of	ADP
cana-4829	151	21	complex	complex	ADJ
cana-4829	151	22	traffic	traffic	NOUN
cana-4829	151	23	patterns	pattern	NOUN
cana-4829	151	24	,	,	PUNCT
cana-4829	151	25	robust	robust	ADJ
cana-4829	151	26	precision	precision	NOUN
cana-4829	151	27	and	and	CCONJ
cana-4829	151	28	recall	recall	NOUN
cana-4829	151	29	,	,	PUNCT
cana-4829	151	30	effective	effective	ADJ
cana-4829	151	31	in	in	ADP
cana-4829	151	32	diverse	diverse	ADJ
cana-4829	151	33	environments	environment	NOUN
cana-4829	151	34	.	.	PUNCT
cana-4829	152	1	k	k	X
cana-4829	152	2	-	-	PUNCT
cana-4829	152	3	nearest	near	ADJ
cana-4829	152	4	neighbors	neighbor	NOUN
cana-4829	152	5	(	(	PUNCT
cana-4829	152	6	knn	knn	PROPN
cana-4829	152	7	)	)	PUNCT
cana-4829	152	8	99.92	99.92	NUM
cana-4829	152	9	%	%	NOUN
cana-4829	152	10	instant	instant	ADJ
cana-4829	152	11	message	message	NOUN
cana-4829	152	12	,	,	PUNCT
cana-4829	152	13	video	video	NOUN
cana-4829	152	14	,	,	PUNCT
cana-4829	152	15	voice	voice	NOUN
cana-4829	152	16	overip	overip	NOUN
cana-4829	152	17	,	,	PUNCT
cana-4829	152	18	email	email	NOUN
cana-4829	152	19	reliable	reliable	ADJ
cana-4829	152	20	for	for	ADP
cana-4829	152	21	distinct	distinct	ADJ
cana-4829	152	22	traffic	traffic	NOUN
cana-4829	152	23	categories	category	NOUN
cana-4829	152	24	,	,	PUNCT
cana-4829	152	25	adaptable	adaptable	ADJ
cana-4829	152	26	to	to	ADP
cana-4829	152	27	wellseparated	wellseparate	VERB
cana-4829	152	28	datasets	dataset	NOUN
cana-4829	152	29	,	,	PUNCT
cana-4829	152	30	suitable	suitable	ADJ
cana-4829	152	31	for	for	ADP
cana-4829	152	32	efficient	efficient	ADJ
cana-4829	152	33	network	network	NOUN
cana-4829	152	34	security	security	NOUN
cana-4829	152	35	.	.	PUNCT
cana-4829	153	1	table	table	NOUN
cana-4829	153	2	1	1	NUM
cana-4829	153	3	shows	show	VERB
cana-4829	153	4	how	how	SCONJ
cana-4829	153	5	logistic	logistic	ADJ
cana-4829	153	6	regression	regression	NOUN
cana-4829	153	7	and	and	CCONJ
cana-4829	153	8	knn	knn	PROPN
cana-4829	153	9	equally	equally	ADV
cana-4829	153	10	gave	give	VERB
cana-4829	153	11	the	the	DET
cana-4829	153	12	highest	high	ADJ
cana-4829	153	13	rate	rate	NOUN
cana-4829	153	14	of	of	ADP
cana-4829	153	15	accuracy	accuracy	NOUN
cana-4829	153	16	at	at	ADP
cana-4829	153	17	99.92	99.92	NUM
cana-4829	153	18	%	%	NOUN
cana-4829	153	19	,	,	PUNCT
cana-4829	153	20	performing	perform	VERB
cana-4829	153	21	better	well	ADV
cana-4829	153	22	than	than	ADP
cana-4829	153	23	svm	svm	VERB
cana-4829	153	24	with	with	ADP
cana-4829	153	25	a	a	DET
cana-4829	153	26	rate	rate	NOUN
cana-4829	153	27	of	of	ADP
cana-4829	153	28	99.30	99.30	NUM
cana-4829	153	29	%	%	NOUN
cana-4829	153	30	.	.	PUNCT
cana-4829	154	1	all	all	DET
cana-4829	154	2	models	model	NOUN
cana-4829	154	3	performed	perform	VERB
cana-4829	154	4	extremely	extremely	ADV
cana-4829	154	5	well	well	ADV
cana-4829	154	6	with	with	ADP
cana-4829	154	7	instant	instant	ADJ
cana-4829	154	8	message	message	NOUN
cana-4829	154	9	,	,	PUNCT
cana-4829	154	10	video	video	NOUN
cana-4829	154	11	,	,	PUNCT
cana-4829	154	12	voice	voice	NOUN
cana-4829	154	13	overip	overip	NOUN
cana-4829	154	14	,	,	PUNCT
cana-4829	154	15	and	and	CCONJ
cana-4829	154	16	email	email	NOUN
cana-4829	154	17	traffic	traffic	NOUN
cana-4829	154	18	.	.	PUNCT
cana-4829	155	1	both	both	DET
cana-4829	155	2	logistic	logistic	ADJ
cana-4829	155	3	regression	regression	NOUN
cana-4829	155	4	and	and	CCONJ
cana-4829	155	5	knn	knn	PROPN
cana-4829	155	6	made	make	VERB
cana-4829	155	7	only	only	ADV
cana-4829	155	8	a	a	DET
cana-4829	155	9	few	few	ADJ
cana-4829	155	10	misclassifications	misclassification	NOUN
cana-4829	155	11	(	(	PUNCT
cana-4829	155	12	2	2	NUM
cana-4829	155	13	p2p	p2p	NOUN
cana-4829	155	14	in	in	ADP
cana-4829	155	15	each	each	PRON
cana-4829	155	16	)	)	PUNCT
cana-4829	155	17	,	,	PUNCT
cana-4829	155	18	while	while	SCONJ
cana-4829	155	19	svm	svm	PROPN
cana-4829	155	20	had	have	VERB
cana-4829	155	21	higher	high	ADJ
cana-4829	155	22	counts	count	NOUN
cana-4829	155	23	of	of	ADP
cana-4829	155	24	misclassifications	misclassification	NOUN
cana-4829	155	25	,	,	PUNCT
cana-4829	155	26	primarily	primarily	ADV
cana-4829	155	27	in	in	ADP
cana-4829	155	28	file	file	NOUN
cana-4829	155	29	sharing	sharing	NOUN
cana-4829	155	30	and	and	CCONJ
cana-4829	155	31	email	email	NOUN
cana-4829	155	32	traffic	traffic	NOUN
cana-4829	155	33	.	.	PUNCT
cana-4829	156	1	while	while	SCONJ
cana-4829	156	2	logistic	logistic	ADJ
cana-4829	156	3	regression	regression	NOUN
cana-4829	156	4	and	and	CCONJ
cana-4829	156	5	knn	knn	PROPN
cana-4829	156	6	are	be	AUX
cana-4829	156	7	particularly	particularly	ADV
cana-4829	156	8	suitable	suitable	ADJ
cana-4829	156	9	with	with	ADP
cana-4829	156	10	distinctly	distinctly	ADV
cana-4829	156	11	classified	classify	VERB
cana-4829	156	12	traffic	traffic	NOUN
cana-4829	156	13	,	,	PUNCT
cana-4829	156	14	svm	svm	PROPN
cana-4829	156	15	is	be	AUX
cana-4829	156	16	better	well	ADJ
cana-4829	156	17	with	with	ADP
cana-4829	156	18	complex	complex	ADJ
cana-4829	156	19	and	and	CCONJ
cana-4829	156	20	diverse	diverse	ADJ
cana-4829	156	21	streams	stream	NOUN
cana-4829	156	22	of	of	ADP
cana-4829	156	23	traffic	traffic	NOUN
cana-4829	156	24	.	.	PUNCT
cana-4829	157	1	the	the	DET
cana-4829	157	2	above	above	ADJ
cana-4829	157	3	reveals	reveal	VERB
cana-4829	157	4	the	the	DET
cana-4829	157	5	strengths	strength	NOUN
cana-4829	157	6	and	and	CCONJ
cana-4829	157	7	drawbacks	drawback	NOUN
cana-4829	157	8	of	of	ADP
cana-4829	157	9	every	every	DET
cana-4829	157	10	model	model	NOUN
cana-4829	157	11	and	and	CCONJ
cana-4829	157	12	facilitates	facilitate	VERB
cana-4829	157	13	the	the	DET
cana-4829	157	14	decision	decision	NOUN
cana-4829	157	15	on	on	ADP
cana-4829	157	16	the	the	DET
cana-4829	157	17	most	most	ADV
cana-4829	157	18	suitable	suitable	ADJ
cana-4829	157	19	method	method	NOUN
cana-4829	157	20	in	in	ADP
cana-4829	157	21	a	a	DET
cana-4829	157	22	particular	particular	ADJ
cana-4829	157	23	network	network	NOUN
cana-4829	157	24	traffic	traffic	NOUN
cana-4829	157	25	classification	classification	NOUN
cana-4829	157	26	need	need	NOUN
cana-4829	157	27	.	.	PUNCT
cana-4829	158	1	communications	communication	NOUN
cana-4829	158	2	on	on	ADP
cana-4829	158	3	applied	apply	VERB
cana-4829	158	4	nonlinear	nonlinear	ADJ
cana-4829	158	5	analysis	analysis	NOUN
cana-4829	158	6	issn	issn	NOUN
cana-4829	158	7	:	:	PUNCT
cana-4829	158	8	1074	1074	NUM
cana-4829	158	9	-	-	PUNCT
cana-4829	158	10	133x	133x	NUM
cana-4829	158	11	vol	vol	VERB
cana-4829	158	12	32	32	NUM
cana-4829	158	13	no	no	NOUN
cana-4829	158	14	.	.	PUNCT
cana-4829	159	1	10s	10	NOUN
cana-4829	159	2	(	(	PUNCT
cana-4829	159	3	2025	2025	NUM
cana-4829	159	4	)	)	PUNCT
cana-4829	159	5	368	368	NUM
cana-4829	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	159	7	6	6	NUM
cana-4829	159	8	.	.	PUNCT
cana-4829	159	9	conclusion	conclusion	NOUN
cana-4829	159	10	this	this	DET
cana-4829	159	11	research	research	NOUN
cana-4829	159	12	showcases	showcase	VERB
cana-4829	159	13	the	the	DET
cana-4829	159	14	ability	ability	NOUN
cana-4829	159	15	of	of	ADP
cana-4829	159	16	advanced	advanced	ADJ
cana-4829	159	17	machine	machine	NOUN
cana-4829	159	18	learning	learn	VERB
cana-4829	159	19	techniques	technique	NOUN
cana-4829	159	20	in	in	ADP
cana-4829	159	21	network	network	NOUN
cana-4829	159	22	traffic	traffic	NOUN
cana-4829	159	23	classification	classification	NOUN
cana-4829	159	24	in	in	ADP
cana-4829	159	25	overcoming	overcome	VERB
cana-4829	159	26	the	the	DET
cana-4829	159	27	challenge	challenge	NOUN
cana-4829	159	28	posed	pose	VERB
cana-4829	159	29	by	by	ADP
cana-4829	159	30	today	today	NOUN
cana-4829	159	31	's	's	PART
cana-4829	159	32	complex	complex	ADJ
cana-4829	159	33	,	,	PUNCT
cana-4829	159	34	evolving	evolve	VERB
cana-4829	159	35	traffic	traffic	NOUN
cana-4829	159	36	.	.	PUNCT
cana-4829	160	1	the	the	DET
cana-4829	160	2	models	model	NOUN
cana-4829	160	3	discussed	discuss	VERB
cana-4829	160	4	here	here	ADV
cana-4829	160	5	—	—	PUNCT
cana-4829	160	6	logistic	logistic	ADJ
cana-4829	160	7	regression	regression	NOUN
cana-4829	160	8	,	,	PUNCT
cana-4829	160	9	support	support	VERB
cana-4829	160	10	vector	vector	NOUN
cana-4829	160	11	machines	machine	NOUN
cana-4829	160	12	(	(	PUNCT
cana-4829	160	13	svm	svm	PROPN
cana-4829	160	14	)	)	PUNCT
cana-4829	160	15	,	,	PUNCT
cana-4829	160	16	and	and	CCONJ
cana-4829	160	17	k	k	X
cana-4829	160	18	-	-	PUNCT
cana-4829	160	19	nearest	near	ADJ
cana-4829	160	20	neighbors	neighbor	NOUN
cana-4829	160	21	(	(	PUNCT
cana-4829	160	22	knn)—proved	knn)—prove	VERB
cana-4829	160	23	superior	superior	ADJ
cana-4829	160	24	in	in	ADP
cana-4829	160	25	classification	classification	NOUN
cana-4829	160	26	performance	performance	NOUN
cana-4829	160	27	with	with	ADP
cana-4829	160	28	global	global	ADJ
cana-4829	160	29	accuracies	accuracy	NOUN
cana-4829	160	30	of	of	ADP
cana-4829	160	31	99.92	99.92	NUM
cana-4829	160	32	%	%	NOUN
cana-4829	160	33	in	in	ADP
cana-4829	160	34	the	the	DET
cana-4829	160	35	case	case	NOUN
cana-4829	160	36	of	of	ADP
cana-4829	160	37	logistic	logistic	ADJ
cana-4829	160	38	regression	regression	NOUN
cana-4829	160	39	and	and	CCONJ
cana-4829	160	40	knn	knn	PROPN
cana-4829	160	41	and	and	CCONJ
cana-4829	160	42	99.30	99.30	NUM
cana-4829	160	43	%	%	NOUN
cana-4829	160	44	in	in	ADP
cana-4829	160	45	the	the	DET
cana-4829	160	46	case	case	NOUN
cana-4829	160	47	of	of	ADP
cana-4829	160	48	svm	svm	PROPN
cana-4829	160	49	.	.	PUNCT
cana-4829	161	1	the	the	DET
cana-4829	161	2	performance	performance	NOUN
cana-4829	161	3	was	be	AUX
cana-4829	161	4	highest	high	ADJ
cana-4829	161	5	in	in	ADP
cana-4829	161	6	the	the	DET
cana-4829	161	7	classification	classification	NOUN
cana-4829	161	8	of	of	ADP
cana-4829	161	9	distinctly	distinctly	ADV
cana-4829	161	10	distinguishable	distinguishable	ADJ
cana-4829	161	11	traffic	traffic	NOUN
cana-4829	161	12	classes	class	NOUN
cana-4829	161	13	in	in	ADP
cana-4829	161	14	the	the	DET
cana-4829	161	15	case	case	NOUN
cana-4829	161	16	of	of	ADP
cana-4829	161	17	logistic	logistic	ADJ
cana-4829	161	18	regression	regression	NOUN
cana-4829	161	19	and	and	CCONJ
cana-4829	161	20	knn	knn	PROPN
cana-4829	161	21	,	,	PUNCT
cana-4829	161	22	and	and	CCONJ
cana-4829	161	23	in	in	ADP
cana-4829	161	24	complex	complex	ADJ
cana-4829	161	25	and	and	CCONJ
cana-4829	161	26	diverse	diverse	VERB
cana-4829	161	27	traffic	traffic	NOUN
cana-4829	161	28	in	in	ADP
cana-4829	161	29	the	the	DET
cana-4829	161	30	case	case	NOUN
cana-4829	161	31	of	of	ADP
cana-4829	161	32	svm	svm	PROPN
cana-4829	161	33	[	[	X
cana-4829	161	34	30	30	NUM
cana-4829	161	35	]	]	PUNCT
cana-4829	161	36	.	.	PUNCT
cana-4829	162	1	all	all	DET
cana-4829	162	2	three	three	NUM
cana-4829	162	3	models	model	NOUN
cana-4829	162	4	proved	prove	VERB
cana-4829	162	5	excellent	excellent	ADJ
cana-4829	162	6	in	in	ADP
cana-4829	162	7	the	the	DET
cana-4829	162	8	classification	classification	NOUN
cana-4829	162	9	of	of	ADP
cana-4829	162	10	traffic	traffic	NOUN
cana-4829	162	11	classes	class	NOUN
cana-4829	162	12	such	such	ADJ
cana-4829	162	13	as	as	ADP
cana-4829	162	14	instant	instant	ADJ
cana-4829	162	15	message	message	NOUN
cana-4829	162	16	,	,	PUNCT
cana-4829	162	17	video	video	NOUN
cana-4829	162	18	,	,	PUNCT
cana-4829	162	19	voice	voice	NOUN
cana-4829	162	20	overip	overip	NOUN
cana-4829	162	21	,	,	PUNCT
cana-4829	162	22	and	and	CCONJ
cana-4829	162	23	email	email	NOUN
cana-4829	162	24	with	with	ADP
cana-4829	162	25	fewer	few	ADJ
cana-4829	162	26	misclassifications	misclassification	NOUN
cana-4829	162	27	in	in	ADP
cana-4829	162	28	the	the	DET
cana-4829	162	29	classification	classification	NOUN
cana-4829	162	30	of	of	ADP
cana-4829	162	31	file	file	NOUN
cana-4829	162	32	sharing	sharing	NOUN
cana-4829	162	33	and	and	CCONJ
cana-4829	162	34	p2p	p2p	NOUN
cana-4829	162	35	traffic	traffic	NOUN
cana-4829	162	36	.	.	PUNCT
cana-4829	163	1	the	the	DET
cana-4829	163	2	results	result	NOUN
cana-4829	163	3	highlight	highlight	VERB
cana-4829	163	4	the	the	DET
cana-4829	163	5	scalability	scalability	NOUN
cana-4829	163	6	and	and	CCONJ
cana-4829	163	7	adaptability	adaptability	NOUN
cana-4829	163	8	of	of	ADP
cana-4829	163	9	these	these	DET
cana-4829	163	10	algorithms	algorithm	NOUN
cana-4829	163	11	in	in	ADP
cana-4829	163	12	real	real	ADJ
cana-4829	163	13	-	-	PUNCT
cana-4829	163	14	world	world	NOUN
cana-4829	163	15	applications	application	NOUN
cana-4829	163	16	in	in	ADP
cana-4829	163	17	efficient	efficient	ADJ
cana-4829	163	18	provisioning	provisioning	NOUN
cana-4829	163	19	,	,	PUNCT
cana-4829	163	20	congestion	congestion	NOUN
cana-4829	163	21	control	control	NOUN
cana-4829	163	22	,	,	PUNCT
cana-4829	163	23	and	and	CCONJ
cana-4829	163	24	anomaly	anomaly	NOUN
cana-4829	163	25	detection	detection	NOUN
cana-4829	163	26	.	.	PUNCT
cana-4829	164	1	moreover	moreover	ADV
cana-4829	164	2	,	,	PUNCT
cana-4829	164	3	the	the	DET
cana-4829	164	4	integration	integration	NOUN
cana-4829	164	5	with	with	ADP
cana-4829	164	6	advanced	advanced	ADJ
cana-4829	164	7	preprocessing	preprocessing	NOUN
cana-4829	164	8	,	,	PUNCT
cana-4829	164	9	feature	feature	NOUN
cana-4829	164	10	extraction	extraction	NOUN
cana-4829	164	11	,	,	PUNCT
cana-4829	164	12	and	and	CCONJ
cana-4829	164	13	evaluation	evaluation	NOUN
cana-4829	164	14	metrics	metric	NOUN
cana-4829	164	15	showcases	showcase	VERB
cana-4829	164	16	the	the	DET
cana-4829	164	17	requirement	requirement	NOUN
cana-4829	164	18	of	of	ADP
cana-4829	164	19	systematic	systematic	ADJ
cana-4829	164	20	approaches	approach	NOUN
cana-4829	164	21	in	in	ADP
cana-4829	164	22	achieving	achieve	VERB
cana-4829	164	23	consistent	consistent	ADJ
cana-4829	164	24	classification	classification	NOUN
cana-4829	164	25	results	result	NOUN
cana-4829	164	26	.	.	PUNCT
cana-4829	165	1	the	the	DET
cana-4829	165	2	research	research	NOUN
cana-4829	165	3	underscores	underscore	VERB
cana-4829	165	4	the	the	DET
cana-4829	165	5	key	key	ADJ
cana-4829	165	6	role	role	NOUN
cana-4829	165	7	machine	machine	NOUN
cana-4829	165	8	learning	learning	NOUN
cana-4829	165	9	is	be	AUX
cana-4829	165	10	going	go	VERB
cana-4829	165	11	to	to	PART
cana-4829	165	12	play	play	VERB
cana-4829	165	13	in	in	ADP
cana-4829	165	14	future	future	ADJ
cana-4829	165	15	network	network	NOUN
cana-4829	165	16	management	management	NOUN
cana-4829	165	17	in	in	ADP
cana-4829	165	18	suggesting	suggest	VERB
cana-4829	165	19	scalable	scalable	ADJ
cana-4829	165	20	approaches	approach	NOUN
cana-4829	165	21	in	in	ADP
cana-4829	165	22	achieving	achieve	VERB
cana-4829	165	23	performance	performance	NOUN
cana-4829	165	24	requirements	requirement	NOUN
cana-4829	165	25	in	in	ADP
cana-4829	165	26	high	high	ADJ
cana-4829	165	27	-	-	PUNCT
cana-4829	165	28	data	data	NOUN
cana-4829	165	29	-	-	PUNCT
cana-4829	165	30	rate	rate	NOUN
cana-4829	165	31	scenarios	scenario	NOUN
cana-4829	165	32	while	while	SCONJ
cana-4829	165	33	maintaining	maintain	VERB
cana-4829	165	34	security	security	NOUN
cana-4829	165	35	and	and	CCONJ
cana-4829	165	36	operational	operational	ADJ
cana-4829	165	37	efficiency	efficiency	NOUN
cana-4829	165	38	[	[	X
cana-4829	165	39	31	31	NUM
cana-4829	165	40	]	]	PUNCT
cana-4829	165	41	.	.	PUNCT
cana-4829	166	1	the	the	DET
cana-4829	166	2	future	future	ADJ
cana-4829	166	3	research	research	NOUN
cana-4829	166	4	could	could	AUX
cana-4829	166	5	address	address	VERB
cana-4829	166	6	the	the	DET
cana-4829	166	7	performance	performance	NOUN
cana-4829	166	8	boost	boost	NOUN
cana-4829	166	9	with	with	ADP
cana-4829	166	10	hybrid	hybrid	ADJ
cana-4829	166	11	models	model	NOUN
cana-4829	166	12	,	,	PUNCT
cana-4829	166	13	feature	feature	NOUN
cana-4829	166	14	space	space	NOUN
cana-4829	166	15	optimization	optimization	NOUN
cana-4829	166	16	,	,	PUNCT
cana-4829	166	17	and	and	CCONJ
cana-4829	166	18	adaptation	adaptation	NOUN
cana-4829	166	19	in	in	ADP
cana-4829	166	20	evolving	evolve	VERB
cana-4829	166	21	traffic	traffic	NOUN
cana-4829	166	22	in	in	ADP
cana-4829	166	23	increasingly	increasingly	ADV
cana-4829	166	24	complex	complex	ADJ
cana-4829	166	25	topologies	topology	NOUN
cana-4829	166	26	.	.	PUNCT
cana-4829	167	1	the	the	DET
cana-4829	167	2	research	research	NOUN
cana-4829	167	3	here	here	ADV
cana-4829	167	4	presented	present	VERB
cana-4829	167	5	establishes	establish	VERB
cana-4829	167	6	a	a	DET
cana-4829	167	7	sound	sound	ADJ
cana-4829	167	8	foundation	foundation	NOUN
cana-4829	167	9	in	in	ADP
cana-4829	167	10	the	the	DET
cana-4829	167	11	usage	usage	NOUN
cana-4829	167	12	of	of	ADP
cana-4829	167	13	machine	machine	NOUN
cana-4829	167	14	learning	learning	NOUN
cana-4829	167	15	in	in	ADP
cana-4829	167	16	network	network	NOUN
cana-4829	167	17	management	management	NOUN
cana-4829	167	18	in	in	ADP
cana-4829	167	19	driving	drive	VERB
cana-4829	167	20	innovation	innovation	NOUN
cana-4829	167	21	and	and	CCONJ
cana-4829	167	22	in	in	ADP
cana-4829	167	23	efficient	efficient	ADJ
cana-4829	167	24	and	and	CCONJ
cana-4829	167	25	secure	secure	ADJ
cana-4829	167	26	network	network	NOUN
cana-4829	167	27	functioning	functioning	NOUN
cana-4829	167	28	.	.	PUNCT
cana-4829	168	1	refrences	refrence	VERB
cana-4829	169	1	[	[	X
cana-4829	169	2	1	1	NUM
cana-4829	169	3	]	]	X
cana-4829	169	4	rawat	rawat	PROPN
cana-4829	169	5	,	,	PUNCT
cana-4829	169	6	d.	d.	PROPN
cana-4829	169	7	b.	b.	PROPN
cana-4829	169	8	,	,	PUNCT
cana-4829	169	9	&	&	CCONJ
cana-4829	169	10	reddy	reddy	PROPN
cana-4829	169	11	,	,	PUNCT
cana-4829	169	12	s.	s.	PROPN
cana-4829	169	13	r.	r.	PROPN
cana-4829	169	14	(	(	PUNCT
cana-4829	169	15	2016	2016	NUM
cana-4829	169	16	)	)	PUNCT
cana-4829	169	17	.	.	PUNCT
cana-4829	170	1	software	software	NOUN
cana-4829	170	2	defined	define	VERB
cana-4829	170	3	networking	network	VERB
cana-4829	170	4	architecture	architecture	NOUN
cana-4829	170	5	,	,	PUNCT
cana-4829	170	6	security	security	NOUN
cana-4829	170	7	and	and	CCONJ
cana-4829	170	8	energy	energy	NOUN
cana-4829	170	9	efficiency	efficiency	NOUN
cana-4829	170	10	:	:	PUNCT
cana-4829	170	11	a	a	DET
cana-4829	170	12	survey	survey	NOUN
cana-4829	170	13	.	.	PUNCT
cana-4829	171	1	ieee	ieee	NOUN
cana-4829	171	2	communications	communication	NOUN
cana-4829	171	3	surveys	survey	NOUN
cana-4829	171	4	&	&	CCONJ
cana-4829	171	5	tutorials	tutorial	NOUN
cana-4829	171	6	,	,	PUNCT
cana-4829	171	7	19(1	19(1	NUM
cana-4829	171	8	)	)	PUNCT
cana-4829	171	9	,	,	PUNCT
cana-4829	171	10	325	325	NUM
cana-4829	171	11	-	-	SYM
cana-4829	171	12	346	346	NUM
cana-4829	171	13	.	.	PUNCT
cana-4829	172	1	[	[	X
cana-4829	172	2	2	2	NUM
cana-4829	172	3	]	]	X
cana-4829	172	4	pratap	pratap	PROPN
cana-4829	172	5	,	,	PUNCT
cana-4829	172	6	s.	s.	PROPN
cana-4829	172	7	(	(	PUNCT
cana-4829	172	8	2023	2023	NUM
cana-4829	172	9	)	)	PUNCT
cana-4829	172	10	.	.	PUNCT
cana-4829	173	1	transportation	transportation	NOUN
cana-4829	173	2	transformed	transform	VERB
cana-4829	173	3	:	:	PUNCT
cana-4829	173	4	a	a	DET
cana-4829	173	5	comprehensive	comprehensive	ADJ
cana-4829	173	6	review	review	NOUN
cana-4829	173	7	of	of	ADP
cana-4829	173	8	dynamic	dynamic	ADJ
cana-4829	173	9	rerouting	rerouting	NOUN
cana-4829	173	10	in	in	ADP
cana-4829	173	11	multimodal	multimodal	NOUN
cana-4829	173	12	networks	network	NOUN
cana-4829	173	13	.	.	PUNCT
cana-4829	174	1	arxiv	arxiv	PROPN
cana-4829	174	2	preprint	preprint	VERB
cana-4829	174	3	arxiv:2312.14953	arxiv:2312.14953	NOUN
cana-4829	174	4	.	.	PUNCT
cana-4829	175	1	[	[	X
cana-4829	175	2	3	3	NUM
cana-4829	175	3	]	]	X
cana-4829	175	4	xie	xie	PROPN
cana-4829	175	5	,	,	PUNCT
cana-4829	175	6	j.	j.	PROPN
cana-4829	175	7	,	,	PUNCT
cana-4829	175	8	yu	yu	PROPN
cana-4829	175	9	,	,	PUNCT
cana-4829	175	10	f.	f.	PROPN
cana-4829	175	11	r.	r.	PROPN
cana-4829	175	12	,	,	PUNCT
cana-4829	175	13	huang	huang	PROPN
cana-4829	175	14	,	,	PUNCT
cana-4829	175	15	t.	t.	PROPN
cana-4829	175	16	,	,	PUNCT
cana-4829	175	17	xie	xie	PROPN
cana-4829	175	18	,	,	PUNCT
cana-4829	175	19	r.	r.	PROPN
cana-4829	175	20	,	,	PUNCT
cana-4829	175	21	liu	liu	PROPN
cana-4829	175	22	,	,	PUNCT
cana-4829	175	23	j.	j.	PROPN
cana-4829	175	24	,	,	PUNCT
cana-4829	175	25	wang	wang	PROPN
cana-4829	175	26	,	,	PUNCT
cana-4829	175	27	c.	c.	PROPN
cana-4829	175	28	,	,	PUNCT
cana-4829	175	29	&	&	CCONJ
cana-4829	175	30	liu	liu	PROPN
cana-4829	175	31	,	,	PUNCT
cana-4829	175	32	y.	y.	PROPN
cana-4829	175	33	(	(	PUNCT
cana-4829	175	34	2018	2018	NUM
cana-4829	175	35	)	)	PUNCT
cana-4829	175	36	.	.	PUNCT
cana-4829	176	1	a	a	DET
cana-4829	176	2	survey	survey	NOUN
cana-4829	176	3	of	of	ADP
cana-4829	176	4	machine	machine	NOUN
cana-4829	176	5	learning	learn	VERB
cana-4829	176	6	techniques	technique	NOUN
cana-4829	176	7	applied	apply	VERB
cana-4829	176	8	to	to	ADP
cana-4829	176	9	software	software	NOUN
cana-4829	176	10	defined	define	VERB
cana-4829	176	11	networking	network	VERB
cana-4829	176	12	(	(	PUNCT
cana-4829	176	13	sdn	sdn	PROPN
cana-4829	176	14	):	):	PUNCT
cana-4829	176	15	research	research	NOUN
cana-4829	176	16	issues	issue	NOUN
cana-4829	176	17	and	and	CCONJ
cana-4829	176	18	challenges	challenge	NOUN
cana-4829	176	19	.	.	PUNCT
cana-4829	177	1	ieee	ieee	NOUN
cana-4829	177	2	communications	communication	NOUN
cana-4829	177	3	surveys	survey	NOUN
cana-4829	177	4	&	&	CCONJ
cana-4829	177	5	tutorials	tutorial	NOUN
cana-4829	177	6	,	,	PUNCT
cana-4829	177	7	21(1	21(1	NUM
cana-4829	177	8	)	)	PUNCT
cana-4829	177	9	,	,	PUNCT
cana-4829	177	10	393	393	NUM
cana-4829	177	11	-	-	SYM
cana-4829	177	12	430	430	NUM
cana-4829	177	13	.	.	PUNCT
cana-4829	178	1	[	[	X
cana-4829	178	2	4	4	NUM
cana-4829	178	3	]	]	X
cana-4829	178	4	boutaba	boutaba	PROPN
cana-4829	178	5	,	,	PUNCT
cana-4829	178	6	r.	r.	PROPN
cana-4829	178	7	,	,	PUNCT
cana-4829	178	8	salahuddin	salahuddin	PROPN
cana-4829	178	9	,	,	PUNCT
cana-4829	178	10	m.	m.	NOUN
cana-4829	178	11	a.	a.	PROPN
cana-4829	178	12	,	,	PUNCT
cana-4829	178	13	limam	limam	PROPN
cana-4829	178	14	,	,	PUNCT
cana-4829	178	15	n.	n.	NOUN
cana-4829	178	16	,	,	PUNCT
cana-4829	178	17	ayoubi	ayoubi	PROPN
cana-4829	178	18	,	,	PUNCT
cana-4829	178	19	s.	s.	PROPN
cana-4829	178	20	,	,	PUNCT
cana-4829	178	21	shahriar	shahriar	NOUN
cana-4829	178	22	,	,	PUNCT
cana-4829	178	23	n.	n.	PROPN
cana-4829	178	24	,	,	PUNCT
cana-4829	178	25	estrada	estrada	PROPN
cana-4829	178	26	-	-	PUNCT
cana-4829	178	27	solano	solano	PROPN
cana-4829	178	28	,	,	PUNCT
cana-4829	178	29	f.	f.	PROPN
cana-4829	178	30	,	,	PUNCT
cana-4829	178	31	&	&	CCONJ
cana-4829	178	32	caicedo	caicedo	PROPN
cana-4829	178	33	,	,	PUNCT
cana-4829	178	34	o.	o.	NOUN
cana-4829	178	35	m.	m.	NOUN
cana-4829	178	36	(	(	PUNCT
cana-4829	178	37	2018	2018	NUM
cana-4829	178	38	)	)	PUNCT
cana-4829	178	39	.	.	PUNCT
cana-4829	179	1	a	a	DET
cana-4829	179	2	comprehensive	comprehensive	ADJ
cana-4829	179	3	survey	survey	NOUN
cana-4829	179	4	on	on	ADP
cana-4829	179	5	machine	machine	NOUN
cana-4829	179	6	learning	learn	VERB
cana-4829	179	7	for	for	ADP
cana-4829	179	8	networking	network	VERB
cana-4829	179	9	:	:	PUNCT
cana-4829	179	10	evolution	evolution	NOUN
cana-4829	179	11	,	,	PUNCT
cana-4829	179	12	applications	application	NOUN
cana-4829	179	13	and	and	CCONJ
cana-4829	179	14	research	research	NOUN
cana-4829	179	15	opportunities	opportunity	NOUN
cana-4829	179	16	.	.	PUNCT
cana-4829	180	1	journal	journal	NOUN
cana-4829	180	2	of	of	ADP
cana-4829	180	3	internet	internet	NOUN
cana-4829	180	4	services	service	NOUN
cana-4829	180	5	and	and	CCONJ
cana-4829	180	6	applications	application	NOUN
cana-4829	180	7	,	,	PUNCT
cana-4829	180	8	9(1	9(1	NUM
cana-4829	180	9	)	)	PUNCT
cana-4829	180	10	,	,	PUNCT
cana-4829	180	11	1	1	NUM
cana-4829	180	12	-	-	SYM
cana-4829	180	13	99	99	NUM
cana-4829	180	14	.	.	PUNCT
cana-4829	181	1	[	[	X
cana-4829	181	2	5	5	NUM
cana-4829	181	3	]	]	SYM
cana-4829	181	4	modaresi	modaresi	NOUN
cana-4829	181	5	,	,	PUNCT
cana-4829	181	6	f.	f.	PROPN
cana-4829	181	7	,	,	PUNCT
cana-4829	181	8	&	&	CCONJ
cana-4829	181	9	araghinejad	araghinejad	PROPN
cana-4829	181	10	,	,	PUNCT
cana-4829	181	11	s.	s.	PROPN
cana-4829	181	12	(	(	PUNCT
cana-4829	181	13	2014	2014	NUM
cana-4829	181	14	)	)	PUNCT
cana-4829	181	15	.	.	PUNCT
cana-4829	182	1	a	a	DET
cana-4829	182	2	comparative	comparative	ADJ
cana-4829	182	3	assessment	assessment	NOUN
cana-4829	182	4	of	of	ADP
cana-4829	182	5	support	support	NOUN
cana-4829	182	6	vector	vector	NOUN
cana-4829	182	7	machines	machine	NOUN
cana-4829	182	8	,	,	PUNCT
cana-4829	182	9	probabilistic	probabilistic	ADJ
cana-4829	182	10	neural	neural	ADJ
cana-4829	182	11	networks	network	NOUN
cana-4829	182	12	,	,	PUNCT
cana-4829	182	13	and	and	CCONJ
cana-4829	182	14	k	k	X
cana-4829	182	15	-	-	PUNCT
cana-4829	182	16	nearest	near	ADJ
cana-4829	182	17	neighbor	neighbor	NOUN
cana-4829	182	18	algorithms	algorithm	NOUN
cana-4829	182	19	for	for	ADP
cana-4829	182	20	water	water	NOUN
cana-4829	182	21	quality	quality	NOUN
cana-4829	182	22	classification	classification	NOUN
cana-4829	182	23	.	.	PUNCT
cana-4829	183	1	water	water	NOUN
cana-4829	183	2	resources	resource	NOUN
cana-4829	183	3	management	management	NOUN
cana-4829	183	4	,	,	PUNCT
cana-4829	183	5	28	28	NUM
cana-4829	183	6	,	,	PUNCT
cana-4829	183	7	4095	4095	NUM
cana-4829	183	8	-	-	SYM
cana-4829	183	9	4111	4111	NUM
cana-4829	183	10	.	.	PUNCT
cana-4829	184	1	[	[	X
cana-4829	184	2	6	6	NUM
cana-4829	184	3	]	]	SYM
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cana-4829	184	8	&	&	CCONJ
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cana-4829	184	10	,	,	PUNCT
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cana-4829	184	12	(	(	PUNCT
cana-4829	184	13	2024	2024	NUM
cana-4829	184	14	)	)	PUNCT
cana-4829	184	15	.	.	PUNCT
cana-4829	185	1	machine	machine	NOUN
cana-4829	185	2	learning	learning	NOUN
cana-4829	185	3	-	-	PUNCT
cana-4829	185	4	driven	drive	VERB
cana-4829	185	5	detection	detection	NOUN
cana-4829	185	6	of	of	ADP
cana-4829	185	7	cross	cross	ADJ
cana-4829	185	8	-	-	ADJ
cana-4829	185	9	site	site	ADJ
cana-4829	185	10	scripting	scripting	NOUN
cana-4829	185	11	attacks	attack	NOUN
cana-4829	185	12	.	.	PUNCT
cana-4829	186	1	information	information	NOUN
cana-4829	186	2	,	,	PUNCT
cana-4829	186	3	15(7	15(7	NUM
cana-4829	186	4	)	)	PUNCT
cana-4829	186	5	,	,	PUNCT
cana-4829	186	6	420	420	NUM
cana-4829	186	7	.	.	PUNCT
cana-4829	187	1	communications	communication	NOUN
cana-4829	187	2	on	on	ADP
cana-4829	187	3	applied	apply	VERB
cana-4829	187	4	nonlinear	nonlinear	ADJ
cana-4829	187	5	analysis	analysis	NOUN
cana-4829	187	6	issn	issn	NOUN
cana-4829	187	7	:	:	PUNCT
cana-4829	187	8	1074	1074	NUM
cana-4829	187	9	-	-	PUNCT
cana-4829	187	10	133x	133x	NUM
cana-4829	187	11	vol	vol	VERB
cana-4829	187	12	32	32	NUM
cana-4829	187	13	no	no	NOUN
cana-4829	187	14	.	.	PUNCT
cana-4829	188	1	10s	10	NOUN
cana-4829	188	2	(	(	PUNCT
cana-4829	188	3	2025	2025	NUM
cana-4829	188	4	)	)	PUNCT
cana-4829	188	5	369	369	NUM
cana-4829	188	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4829	189	1	[	[	X
cana-4829	189	2	7	7	NUM
cana-4829	189	3	]	]	X
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cana-4829	189	5	,	,	PUNCT
cana-4829	189	6	r.	r.	PROPN
cana-4829	189	7	h.	h.	PROPN
cana-4829	189	8	,	,	PUNCT
cana-4829	189	9	abdalzaher	abdalzaher	ADV
cana-4829	189	10	,	,	PUNCT
cana-4829	189	11	m.	m.	PROPN
cana-4829	189	12	s.	s.	PROPN
cana-4829	189	13	,	,	PUNCT
cana-4829	189	14	elsayed	elsaye	VERB
cana-4829	189	15	,	,	PUNCT
cana-4829	189	16	h.	h.	PROPN
cana-4829	189	17	a.	a.	PROPN
cana-4829	189	18	e.	e.	PROPN
cana-4829	189	19	a.	a.	PROPN
cana-4829	189	20	,	,	PUNCT
cana-4829	189	21	sobh	sobh	NOUN
cana-4829	189	22	,	,	PUNCT
cana-4829	189	23	m.	m.	NOUN
cana-4829	189	24	,	,	PUNCT
cana-4829	189	25	krichen	krichen	NOUN
cana-4829	189	26	,	,	PUNCT
cana-4829	189	27	m.	m.	NOUN
cana-4829	189	28	,	,	PUNCT
cana-4829	189	29	&	&	CCONJ
cana-4829	189	30	salim	salim	PROPN
cana-4829	189	31	,	,	PUNCT
cana-4829	189	32	m.	m.	NOUN
cana-4829	189	33	m.	m.	NOUN
cana-4829	189	34	(	(	PUNCT
cana-4829	189	35	2024	2024	NUM
cana-4829	189	36	)	)	PUNCT
cana-4829	189	37	.	.	PUNCT
cana-4829	190	1	machine	machine	NOUN
cana-4829	190	2	-	-	PUNCT
cana-4829	190	3	learning	learning	NOUN
cana-4829	190	4	-	-	PUNCT
cana-4829	190	5	based	base	VERB
cana-4829	190	6	traffic	traffic	NOUN
cana-4829	190	7	classification	classification	NOUN
cana-4829	190	8	in	in	ADP
cana-4829	190	9	software	software	NOUN
cana-4829	190	10	-	-	PUNCT
cana-4829	190	11	defined	define	VERB
cana-4829	190	12	networks	network	NOUN
cana-4829	190	13	.	.	PUNCT
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cana-4829	191	2	,	,	PUNCT
cana-4829	191	3	13(6	13(6	PROPN
cana-4829	191	4	)	)	PUNCT
cana-4829	191	5	,	,	PUNCT
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cana-4829	191	7	.	.	PUNCT
cana-4829	192	1	[	[	X
cana-4829	192	2	8	8	NUM
cana-4829	192	3	]	]	X
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cana-4829	192	5	,	,	PUNCT
cana-4829	192	6	t.	t.	PROPN
cana-4829	192	7	t.	t.	PROPN
cana-4829	192	8	,	,	PUNCT
cana-4829	192	9	&	&	CCONJ
cana-4829	192	10	armitage	armitage	PROPN
cana-4829	192	11	,	,	PUNCT
cana-4829	192	12	g.	g.	PROPN
cana-4829	192	13	(	(	PUNCT
cana-4829	192	14	2008	2008	NUM
cana-4829	192	15	)	)	PUNCT
cana-4829	192	16	.	.	PUNCT
cana-4829	193	1	a	a	DET
cana-4829	193	2	survey	survey	NOUN
cana-4829	193	3	of	of	ADP
cana-4829	193	4	techniques	technique	NOUN
cana-4829	193	5	for	for	ADP
cana-4829	193	6	internet	internet	NOUN
cana-4829	193	7	traffic	traffic	NOUN
cana-4829	193	8	classification	classification	NOUN
cana-4829	193	9	using	use	VERB
cana-4829	193	10	machine	machine	NOUN
cana-4829	193	11	learning	learning	NOUN
cana-4829	193	12	.	.	PUNCT
cana-4829	194	1	ieee	ieee	NOUN
cana-4829	194	2	communications	communication	NOUN
cana-4829	194	3	surveys	survey	NOUN
cana-4829	194	4	&	&	CCONJ
cana-4829	194	5	tutorials	tutorial	NOUN
cana-4829	194	6	,	,	PUNCT
cana-4829	194	7	10(4	10(4	NUM
cana-4829	194	8	)	)	PUNCT
cana-4829	194	9	,	,	PUNCT
cana-4829	194	10	56	56	NUM
cana-4829	194	11	-	-	SYM
cana-4829	194	12	76	76	NUM
cana-4829	194	13	.	.	PUNCT
cana-4829	195	1	[	[	X
cana-4829	195	2	9	9	NUM
cana-4829	195	3	]	]	SYM
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cana-4829	195	5	,	,	PUNCT
cana-4829	195	6	s.	s.	PROPN
cana-4829	195	7	(	(	PUNCT
cana-4829	195	8	2018	2018	NUM
cana-4829	195	9	)	)	PUNCT
cana-4829	195	10	.	.	PUNCT
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cana-4829	196	2	approach	approach	NOUN
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cana-4829	196	4	traffic	traffic	NOUN
cana-4829	196	5	flow	flow	NOUN
cana-4829	196	6	prediction	prediction	NOUN
cana-4829	196	7	using	use	VERB
cana-4829	196	8	arima	arima	PROPN
cana-4829	196	9	model	model	NOUN
cana-4829	196	10	with	with	ADP
cana-4829	196	11	fuzzy	fuzzy	ADJ
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cana-4829	196	13	transform	transform	NOUN
cana-4829	196	14	(	(	PUNCT
cana-4829	196	15	master	master	NOUN
cana-4829	196	16	's	's	PART
cana-4829	196	17	thesis	thesis	NOUN
cana-4829	196	18	,	,	PUNCT
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cana-4829	196	24	)	)	PUNCT
cana-4829	196	25	)	)	PUNCT
cana-4829	196	26	.	.	PUNCT
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cana-4829	197	2	10	10	NUM
cana-4829	197	3	]	]	X
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cana-4829	197	5	,	,	PUNCT
cana-4829	197	6	y.	y.	PROPN
cana-4829	197	7	,	,	PUNCT
cana-4829	197	8	peng	peng	PROPN
cana-4829	197	9	,	,	PUNCT
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cana-4829	197	11	,	,	PUNCT
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cana-4829	197	14	y.	y.	PROPN
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cana-4829	197	17	,	,	PUNCT
cana-4829	197	18	y.	y.	PROPN
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cana-4829	197	20	&	&	CCONJ
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cana-4829	197	22	,	,	PUNCT
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cana-4829	197	26	)	)	PUNCT
cana-4829	197	27	.	.	PUNCT
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cana-4829	198	2	of	of	ADP
cana-4829	198	3	machine	machine	NOUN
cana-4829	198	4	learning	learning	NOUN
cana-4829	198	5	in	in	ADP
cana-4829	198	6	wireless	wireless	ADJ
cana-4829	198	7	networks	network	NOUN
cana-4829	198	8	:	:	PUNCT
cana-4829	198	9	key	key	ADJ
cana-4829	198	10	techniques	technique	NOUN
cana-4829	198	11	and	and	CCONJ
cana-4829	198	12	open	open	ADJ
cana-4829	198	13	issues	issue	NOUN
cana-4829	198	14	.	.	PUNCT
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cana-4829	199	3	surveys	survey	NOUN
cana-4829	199	4	&	&	CCONJ
cana-4829	199	5	tutorials	tutorial	NOUN
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cana-4829	199	8	)	)	PUNCT
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cana-4829	199	12	3108	3108	NUM
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cana-4829	200	2	11	11	NUM
cana-4829	200	3	]	]	X
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cana-4829	200	5	,	,	PUNCT
cana-4829	200	6	k.	k.	PROPN
cana-4829	201	1	p.	p.	PROPN
cana-4829	201	2	(	(	PUNCT
cana-4829	201	3	2006	2006	NUM
cana-4829	201	4	)	)	PUNCT
cana-4829	201	5	.	.	PUNCT
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cana-4829	202	2	bayes	bayes	PROPN
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cana-4829	202	4	.	.	PUNCT
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cana-4829	203	2	of	of	ADP
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cana-4829	203	4	columbia	columbia	PROPN
cana-4829	203	5	,	,	PUNCT
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cana-4829	203	7	)	)	PUNCT
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cana-4829	204	3	]	]	X
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cana-4829	204	10	s.	s.	PROPN
cana-4829	204	11	,	,	PUNCT
cana-4829	204	12	&	&	CCONJ
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cana-4829	204	16	g.	g.	PROPN
cana-4829	204	17	(	(	PUNCT
cana-4829	204	18	2006	2006	NUM
cana-4829	204	19	)	)	PUNCT
cana-4829	204	20	.	.	PUNCT
cana-4829	205	1	support	support	NOUN
cana-4829	205	2	vector	vector	NOUN
cana-4829	205	3	machines	machine	NOUN
cana-4829	205	4	:	:	PUNCT
cana-4829	205	5	a	a	DET
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cana-4829	205	8	for	for	ADP
cana-4829	205	9	classification	classification	NOUN
cana-4829	205	10	in	in	ADP
cana-4829	205	11	chemometrics	chemometric	NOUN
cana-4829	205	12	.	.	PUNCT
cana-4829	206	1	critical	critical	ADJ
cana-4829	206	2	reviews	review	NOUN
cana-4829	206	3	in	in	ADP
cana-4829	206	4	analytical	analytical	ADJ
cana-4829	206	5	chemistry	chemistry	NOUN
cana-4829	206	6	,	,	PUNCT
cana-4829	206	7	36(3	36(3	NOUN
cana-4829	206	8	-	-	SYM
cana-4829	206	9	4	4	NUM
cana-4829	206	10	)	)	PUNCT
cana-4829	206	11	,	,	PUNCT
cana-4829	206	12	177	177	NUM
cana-4829	206	13	-	-	SYM
cana-4829	206	14	188	188	NUM
cana-4829	206	15	.	.	PUNCT
cana-4829	207	1	[	[	X
cana-4829	207	2	13	13	NUM
cana-4829	207	3	]	]	SYM
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cana-4829	207	7	,	,	PUNCT
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cana-4829	207	9	,	,	PUNCT
cana-4829	207	10	c.	c.	PROPN
cana-4829	207	11	,	,	PUNCT
cana-4829	207	12	&	&	CCONJ
cana-4829	207	13	gnasso	gnasso	PROPN
cana-4829	207	14	,	,	PUNCT
cana-4829	207	15	a.	a.	NOUN
cana-4829	207	16	(	(	PUNCT
cana-4829	207	17	2021	2021	NUM
cana-4829	207	18	)	)	PUNCT
cana-4829	207	19	.	.	PUNCT
cana-4829	208	1	a	a	DET
cana-4829	208	2	comparison	comparison	NOUN
cana-4829	208	3	among	among	ADP
cana-4829	208	4	interpretative	interpretative	ADJ
cana-4829	208	5	proposals	proposal	NOUN
cana-4829	208	6	for	for	ADP
cana-4829	208	7	random	random	ADJ
cana-4829	208	8	forests	forest	NOUN
cana-4829	208	9	.	.	PUNCT
cana-4829	209	1	machine	machine	NOUN
cana-4829	209	2	learning	learn	VERB
cana-4829	209	3	with	with	ADP
cana-4829	209	4	applications	application	NOUN
cana-4829	209	5	,	,	PUNCT
cana-4829	209	6	6	6	NUM
cana-4829	209	7	,	,	PUNCT
cana-4829	209	8	100094	100094	NUM
cana-4829	209	9	.	.	PUNCT
cana-4829	210	1	[	[	X
cana-4829	210	2	14	14	NUM
cana-4829	210	3	]	]	X
cana-4829	210	4	djenouri	djenouri	PROPN
cana-4829	210	5	,	,	PUNCT
cana-4829	210	6	y.	y.	PROPN
cana-4829	210	7	,	,	PUNCT
cana-4829	210	8	belhadi	belhadi	NOUN
cana-4829	210	9	,	,	PUNCT
cana-4829	210	10	a.	a.	PROPN
cana-4829	210	11	,	,	PUNCT
cana-4829	210	12	lin	lin	PROPN
cana-4829	210	13	,	,	PUNCT
cana-4829	210	14	j.	j.	PROPN
cana-4829	210	15	c.	c.	PROPN
cana-4829	210	16	w.	w.	PROPN
cana-4829	210	17	,	,	PUNCT
cana-4829	210	18	&	&	CCONJ
cana-4829	210	19	cano	cano	PROPN
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cana-4829	210	21	a.	a.	NOUN
cana-4829	210	22	(	(	PUNCT
cana-4829	210	23	2019	2019	NUM
cana-4829	210	24	)	)	PUNCT
cana-4829	210	25	.	.	PUNCT
cana-4829	211	1	adapted	adapt	VERB
cana-4829	211	2	k	k	ADV
cana-4829	211	3	-	-	PUNCT
cana-4829	211	4	nearest	near	ADJ
cana-4829	211	5	neighbors	neighbor	NOUN
cana-4829	211	6	for	for	ADP
cana-4829	211	7	detecting	detect	VERB
cana-4829	211	8	anomalies	anomaly	NOUN
cana-4829	211	9	on	on	ADP
cana-4829	211	10	spatio	spatio	PROPN
cana-4829	211	11	–	–	PUNCT
cana-4829	211	12	temporal	temporal	ADJ
cana-4829	211	13	traffic	traffic	NOUN
cana-4829	211	14	flow	flow	NOUN
cana-4829	211	15	.	.	PUNCT
cana-4829	212	1	ieee	ieee	NOUN
cana-4829	212	2	access	access	NOUN
cana-4829	212	3	,	,	PUNCT
cana-4829	212	4	7	7	NUM
cana-4829	212	5	,	,	PUNCT
cana-4829	212	6	10015	10015	NUM
cana-4829	212	7	-	-	SYM
cana-4829	212	8	10027	10027	NUM
cana-4829	212	9	.	.	PUNCT
cana-4829	213	1	[	[	X
cana-4829	213	2	15	15	NUM
cana-4829	213	3	]	]	X
cana-4829	213	4	d’angelo	d’angelo	PROPN
cana-4829	213	5	,	,	PUNCT
cana-4829	213	6	g.	g.	PROPN
cana-4829	213	7	,	,	PUNCT
cana-4829	213	8	&	&	CCONJ
cana-4829	213	9	palmieri	palmieri	PROPN
cana-4829	213	10	,	,	PUNCT
cana-4829	213	11	f.	f.	PROPN
cana-4829	213	12	(	(	PUNCT
cana-4829	213	13	2021	2021	NUM
cana-4829	213	14	)	)	PUNCT
cana-4829	213	15	.	.	PUNCT
cana-4829	214	1	network	network	NOUN
cana-4829	214	2	traffic	traffic	NOUN
cana-4829	214	3	classification	classification	NOUN
cana-4829	214	4	using	use	VERB
cana-4829	214	5	deep	deep	ADJ
cana-4829	214	6	convolutional	convolutional	ADJ
cana-4829	214	7	recurrent	recurrent	ADJ
cana-4829	214	8	autoencoder	autoencoder	NOUN
cana-4829	214	9	neural	neural	ADJ
cana-4829	214	10	networks	network	NOUN
cana-4829	214	11	for	for	ADP
cana-4829	214	12	spatial	spatial	ADJ
cana-4829	214	13	–	–	PUNCT
cana-4829	214	14	temporal	temporal	ADJ
cana-4829	214	15	features	feature	NOUN
cana-4829	214	16	extraction	extraction	NOUN
cana-4829	214	17	.	.	PUNCT
cana-4829	215	1	journal	journal	PROPN
cana-4829	215	2	of	of	ADP
cana-4829	215	3	network	network	NOUN
cana-4829	215	4	and	and	CCONJ
cana-4829	215	5	computer	computer	NOUN
cana-4829	215	6	applications	application	NOUN
cana-4829	215	7	,	,	PUNCT
cana-4829	215	8	173	173	NUM
cana-4829	215	9	,	,	PUNCT
cana-4829	215	10	102890	102890	NUM
cana-4829	215	11	.	.	PUNCT
cana-4829	216	1	[	[	X
cana-4829	216	2	16	16	NUM
cana-4829	216	3	]	]	X
cana-4829	216	4	sadia	sadia	PROPN
cana-4829	216	5	,	,	PUNCT
cana-4829	216	6	h.	h.	PROPN
cana-4829	216	7	,	,	PUNCT
cana-4829	216	8	farhan	farhan	PROPN
cana-4829	216	9	,	,	PUNCT
cana-4829	216	10	s.	s.	PROPN
cana-4829	216	11	,	,	PUNCT
cana-4829	216	12	haq	haq	PROPN
cana-4829	216	13	,	,	PUNCT
cana-4829	216	14	y.	y.	PROPN
cana-4829	216	15	u.	u.	PROPN
cana-4829	216	16	,	,	PUNCT
cana-4829	216	17	sana	sana	PROPN
cana-4829	216	18	,	,	PUNCT
cana-4829	216	19	r.	r.	PROPN
cana-4829	216	20	,	,	PUNCT
cana-4829	216	21	mahmood	mahmood	PROPN
cana-4829	216	22	,	,	PUNCT
cana-4829	216	23	t.	t.	PROPN
cana-4829	216	24	,	,	PUNCT
cana-4829	216	25	bahaj	bahaj	PROPN
cana-4829	216	26	,	,	PUNCT
cana-4829	216	27	s.	s.	PROPN
cana-4829	216	28	a.	a.	PROPN
cana-4829	216	29	o.	o.	PROPN
cana-4829	216	30	,	,	PUNCT
cana-4829	216	31	&	&	CCONJ
cana-4829	216	32	rehman	rehman	PROPN
cana-4829	216	33	,	,	PUNCT
cana-4829	216	34	a.	a.	NOUN
cana-4829	216	35	(	(	PUNCT
cana-4829	216	36	2024	2024	NUM
cana-4829	216	37	)	)	PUNCT
cana-4829	216	38	.	.	PUNCT
cana-4829	217	1	intrusion	intrusion	NOUN
cana-4829	217	2	detection	detection	NOUN
cana-4829	217	3	system	system	NOUN
cana-4829	217	4	for	for	ADP
cana-4829	217	5	wireless	wireless	ADJ
cana-4829	217	6	sensor	sensor	NOUN
cana-4829	217	7	networks	network	NOUN
cana-4829	217	8	:	:	PUNCT
cana-4829	217	9	a	a	DET
cana-4829	217	10	machine	machine	NOUN
cana-4829	217	11	learning	learn	VERB
cana-4829	217	12	based	base	VERB
cana-4829	217	13	approach	approach	NOUN
cana-4829	217	14	.	.	PUNCT
cana-4829	218	1	ieee	ieee	NOUN
cana-4829	218	2	access	access	NOUN
cana-4829	218	3	.	.	PUNCT
cana-4829	219	1	[	[	X
cana-4829	219	2	17	17	NUM
cana-4829	219	3	]	]	SYM
cana-4829	219	4	yusof	yusof	NOUN
cana-4829	219	5	,	,	PUNCT
cana-4829	219	6	m.	m.	NOUN
cana-4829	219	7	h.	h.	PROPN
cana-4829	219	8	m.	m.	PROPN
cana-4829	219	9	,	,	PUNCT
cana-4829	219	10	&	&	CCONJ
cana-4829	219	11	mokhtar	mokhtar	PROPN
cana-4829	219	12	,	,	PUNCT
cana-4829	219	13	m.	m.	PROPN
cana-4829	219	14	r.	r.	PROPN
cana-4829	219	15	(	(	PUNCT
cana-4829	219	16	2016	2016	NUM
cana-4829	219	17	)	)	PUNCT
cana-4829	219	18	.	.	PUNCT
cana-4829	220	1	a	a	DET
cana-4829	220	2	review	review	NOUN
cana-4829	220	3	of	of	ADP
cana-4829	220	4	predictive	predictive	ADJ
cana-4829	220	5	analytic	analytic	ADJ
cana-4829	220	6	applications	application	NOUN
cana-4829	220	7	of	of	ADP
cana-4829	220	8	bayesian	bayesian	NOUN
cana-4829	220	9	network	network	NOUN
cana-4829	220	10	.	.	PUNCT
cana-4829	221	1	int	int	NOUN
cana-4829	221	2	.	.	PUNCT
cana-4829	222	1	j.	j.	PROPN
cana-4829	222	2	adv	adv	PROPN
cana-4829	222	3	.	.	PUNCT
cana-4829	223	1	sci	sci	PROPN
cana-4829	223	2	.	.	PUNCT
cana-4829	224	1	eng	eng	PROPN
cana-4829	224	2	.	.	PROPN
cana-4829	224	3	inf	inf	PROPN
cana-4829	224	4	.	.	PUNCT
cana-4829	225	1	technol	technol	PROPN
cana-4829	225	2	,	,	PUNCT
cana-4829	225	3	6	6	NUM
cana-4829	225	4	,	,	PUNCT
cana-4829	225	5	857	857	NUM
cana-4829	225	6	-	-	SYM
cana-4829	225	7	867	867	NUM
cana-4829	225	8	.	.	PUNCT
cana-4829	226	1	[	[	X
cana-4829	226	2	18	18	NUM
cana-4829	226	3	]	]	SYM
cana-4829	226	4	mienye	mienye	PROPN
cana-4829	226	5	,	,	PUNCT
cana-4829	226	6	i.	i.	PROPN
cana-4829	226	7	d.	d.	PROPN
cana-4829	226	8	,	,	PUNCT
cana-4829	226	9	&	&	CCONJ
cana-4829	226	10	sun	sun	PROPN
cana-4829	226	11	,	,	PUNCT
cana-4829	226	12	y.	y.	PROPN
cana-4829	226	13	(	(	PUNCT
cana-4829	226	14	2022	2022	NUM
cana-4829	226	15	)	)	PUNCT
cana-4829	226	16	.	.	PUNCT
cana-4829	227	1	a	a	DET
cana-4829	227	2	survey	survey	NOUN
cana-4829	227	3	of	of	ADP
cana-4829	227	4	ensemble	ensemble	ADJ
cana-4829	227	5	learning	learning	NOUN
cana-4829	227	6	:	:	PUNCT
cana-4829	227	7	concepts	concept	NOUN
cana-4829	227	8	,	,	PUNCT
cana-4829	227	9	algorithms	algorithm	NOUN
cana-4829	227	10	,	,	PUNCT
cana-4829	227	11	applications	application	NOUN
cana-4829	227	12	,	,	PUNCT
cana-4829	227	13	and	and	CCONJ
cana-4829	227	14	prospects	prospect	NOUN
cana-4829	227	15	.	.	PUNCT
cana-4829	228	1	ieee	ieee	NOUN
cana-4829	228	2	access	access	NOUN
cana-4829	228	3	,	,	PUNCT
cana-4829	228	4	10	10	NUM
cana-4829	228	5	,	,	PUNCT
cana-4829	228	6	99129	99129	NUM
cana-4829	228	7	-	-	SYM
cana-4829	228	8	99149	99149	NUM
cana-4829	228	9	.	.	PUNCT
cana-4829	229	1	[	[	X
cana-4829	229	2	19	19	NUM
cana-4829	229	3	]	]	SYM
cana-4829	229	4	prasad	prasad	PROPN
cana-4829	229	5	,	,	PUNCT
cana-4829	229	6	a.	a.	NOUN
cana-4829	229	7	(	(	PUNCT
cana-4829	229	8	2024	2024	NUM
cana-4829	229	9	)	)	PUNCT
cana-4829	229	10	.	.	PUNCT
cana-4829	230	1	data	datum	NOUN
cana-4829	230	2	quality	quality	NOUN
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cana-4829	230	4	preprocessing	preprocessing	NOUN
cana-4829	230	5	.	.	PUNCT
cana-4829	231	1	in	in	ADP
cana-4829	231	2	introduction	introduction	NOUN
cana-4829	231	3	to	to	ADP
cana-4829	231	4	data	datum	NOUN
cana-4829	231	5	governance	governance	NOUN
cana-4829	231	6	for	for	ADP
cana-4829	231	7	machine	machine	NOUN
cana-4829	231	8	learning	learn	VERB
cana-4829	231	9	systems	system	NOUN
cana-4829	231	10	:	:	PUNCT
cana-4829	231	11	fundamental	fundamental	ADJ
cana-4829	231	12	principles	principle	NOUN
cana-4829	231	13	,	,	PUNCT
cana-4829	231	14	critical	critical	ADJ
cana-4829	231	15	practices	practice	NOUN
cana-4829	231	16	,	,	PUNCT
cana-4829	231	17	and	and	CCONJ
cana-4829	231	18	future	future	ADJ
cana-4829	231	19	trends	trend	NOUN
cana-4829	231	20	(	(	PUNCT
cana-4829	231	21	pp	pp	ADJ
cana-4829	231	22	.	.	PUNCT
cana-4829	231	23	109	109	NUM
cana-4829	231	24	-	-	NUM
cana-4829	231	25	223	223	NUM
cana-4829	231	26	)	)	PUNCT
cana-4829	231	27	.	.	PUNCT
cana-4829	232	1	berkeley	berkeley	PROPN
cana-4829	232	2	,	,	PUNCT
cana-4829	232	3	ca	ca	NOUN
cana-4829	232	4	:	:	PUNCT
cana-4829	232	5	apress	apress	NOUN
cana-4829	232	6	.	.	PUNCT
cana-4829	233	1	[	[	X
cana-4829	233	2	20	20	NUM
cana-4829	233	3	]	]	PUNCT
cana-4829	233	4	shen	shen	NOUN
cana-4829	233	5	,	,	PUNCT
cana-4829	233	6	m.	m.	NOUN
cana-4829	233	7	,	,	PUNCT
cana-4829	233	8	ye	ye	PROPN
cana-4829	233	9	,	,	PUNCT
cana-4829	233	10	k.	k.	PROPN
cana-4829	233	11	,	,	PUNCT
cana-4829	233	12	liu	liu	PROPN
cana-4829	233	13	,	,	PUNCT
cana-4829	233	14	x.	x.	PROPN
cana-4829	233	15	,	,	PUNCT
cana-4829	233	16	zhu	zhu	PROPN
cana-4829	233	17	,	,	PUNCT
cana-4829	233	18	l.	l.	PROPN
cana-4829	233	19	,	,	PUNCT
cana-4829	233	20	kang	kang	PROPN
cana-4829	233	21	,	,	PUNCT
cana-4829	233	22	j.	j.	PROPN
cana-4829	233	23	,	,	PUNCT
cana-4829	233	24	yu	yu	PROPN
cana-4829	233	25	,	,	PUNCT
cana-4829	233	26	s.	s.	PROPN
cana-4829	233	27	,	,	PUNCT
cana-4829	233	28	...	...	PUNCT
cana-4829	233	29	&	&	CCONJ
cana-4829	233	30	xu	xu	PROPN
cana-4829	233	31	,	,	PUNCT
cana-4829	233	32	k.	k.	PROPN
cana-4829	233	33	(	(	PUNCT
cana-4829	233	34	2022	2022	NUM
cana-4829	233	35	)	)	PUNCT
cana-4829	233	36	.	.	PUNCT
cana-4829	234	1	machine	machine	NOUN
cana-4829	234	2	learningpowered	learningpowere	VERB
cana-4829	234	3	encrypted	encrypt	VERB
cana-4829	234	4	network	network	NOUN
cana-4829	234	5	traffic	traffic	NOUN
cana-4829	234	6	analysis	analysis	NOUN
cana-4829	234	7	:	:	PUNCT
cana-4829	234	8	a	a	DET
cana-4829	234	9	comprehensive	comprehensive	ADJ
cana-4829	234	10	survey	survey	NOUN
cana-4829	234	11	.	.	PUNCT
cana-4829	235	1	ieee	ieee	NOUN
cana-4829	235	2	communications	communication	NOUN
cana-4829	235	3	surveys	survey	NOUN
cana-4829	235	4	&	&	CCONJ
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cana-4829	235	6	,	,	PUNCT
cana-4829	235	7	25(1	25(1	NUM
cana-4829	235	8	)	)	PUNCT
cana-4829	235	9	,	,	PUNCT
cana-4829	235	10	791	791	NUM
cana-4829	235	11	-	-	SYM
cana-4829	235	12	824	824	NUM
cana-4829	235	13	.	.	PUNCT
cana-4829	236	1	[	[	X
cana-4829	236	2	21	21	NUM
cana-4829	236	3	]	]	X
cana-4829	236	4	silva	silva	PROPN
cana-4829	236	5	,	,	PUNCT
cana-4829	236	6	f.	f.	PROPN
cana-4829	236	7	s.	s.	PROPN
cana-4829	236	8	d.	d.	PROPN
cana-4829	236	9	,	,	PUNCT
cana-4829	236	10	neto	neto	PROPN
cana-4829	236	11	,	,	PUNCT
cana-4829	236	12	e.	e.	PROPN
cana-4829	236	13	p.	p.	PROPN
cana-4829	236	14	,	,	PUNCT
cana-4829	236	15	oliveira	oliveira	PROPN
cana-4829	236	16	,	,	PUNCT
cana-4829	236	17	h.	h.	PROPN
cana-4829	236	18	,	,	PUNCT
cana-4829	236	19	rosário	rosário	PROPN
cana-4829	236	20	,	,	PUNCT
cana-4829	236	21	d.	d.	PROPN
cana-4829	236	22	,	,	PUNCT
cana-4829	236	23	cerqueira	cerqueira	PROPN
cana-4829	236	24	,	,	PUNCT
cana-4829	236	25	e.	e.	PROPN
cana-4829	236	26	,	,	PUNCT
cana-4829	236	27	both	both	PRON
cana-4829	236	28	,	,	PUNCT
cana-4829	236	29	c.	c.	PROPN
cana-4829	236	30	,	,	PUNCT
cana-4829	236	31	...	...	PUNCT
cana-4829	236	32	&	&	CCONJ
cana-4829	236	33	neto	neto	PROPN
cana-4829	236	34	,	,	PUNCT
cana-4829	236	35	a.	a.	PROPN
cana-4829	236	36	v.	v.	PROPN
cana-4829	236	37	(	(	PUNCT
cana-4829	236	38	2021	2021	NUM
cana-4829	236	39	)	)	PUNCT
cana-4829	236	40	.	.	PUNCT
cana-4829	237	1	a	a	DET
cana-4829	237	2	survey	survey	NOUN
cana-4829	237	3	on	on	ADP
cana-4829	237	4	long	long	ADJ
cana-4829	237	5	-	-	PUNCT
cana-4829	237	6	range	range	NOUN
cana-4829	237	7	wide	wide	ADJ
cana-4829	237	8	-	-	PUNCT
cana-4829	237	9	area	area	NOUN
cana-4829	237	10	network	network	NOUN
cana-4829	237	11	technology	technology	NOUN
cana-4829	237	12	optimizations	optimization	NOUN
cana-4829	237	13	.	.	PUNCT
cana-4829	238	1	ieee	ieee	NOUN
cana-4829	238	2	access	access	NOUN
cana-4829	238	3	,	,	PUNCT
cana-4829	238	4	9	9	NUM
cana-4829	238	5	,	,	PUNCT
cana-4829	238	6	106079	106079	NUM
cana-4829	238	7	-	-	SYM
cana-4829	238	8	106106	106106	NUM
cana-4829	238	9	.	.	PUNCT
cana-4829	239	1	communications	communication	NOUN
cana-4829	239	2	on	on	ADP
cana-4829	239	3	applied	apply	VERB
cana-4829	239	4	nonlinear	nonlinear	ADJ
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cana-4829	239	6	issn	issn	NOUN
cana-4829	239	7	:	:	PUNCT
cana-4829	239	8	1074	1074	NUM
cana-4829	239	9	-	-	PUNCT
cana-4829	239	10	133x	133x	NUM
cana-4829	239	11	vol	vol	VERB
cana-4829	239	12	32	32	NUM
cana-4829	239	13	no	no	NOUN
cana-4829	239	14	.	.	PUNCT
cana-4829	240	1	10s	10	NOUN
cana-4829	240	2	(	(	PUNCT
cana-4829	240	3	2025	2025	NUM
cana-4829	240	4	)	)	PUNCT
cana-4829	240	5	370	370	NUM
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cana-4829	241	1	[	[	X
cana-4829	241	2	22	22	NUM
cana-4829	241	3	]	]	PUNCT
cana-4829	241	4	lampesberger	lampesberger	NOUN
cana-4829	241	5	,	,	PUNCT
cana-4829	241	6	h.	h.	PROPN
cana-4829	241	7	(	(	PUNCT
cana-4829	241	8	2016	2016	NUM
cana-4829	241	9	)	)	PUNCT
cana-4829	241	10	.	.	PUNCT
cana-4829	242	1	language	language	NOUN
cana-4829	242	2	-	-	PUNCT
cana-4829	242	3	based	base	VERB
cana-4829	242	4	anomaly	anomaly	NOUN
cana-4829	242	5	detection	detection	NOUN
cana-4829	242	6	in	in	ADP
cana-4829	242	7	client	client	NOUN
cana-4829	242	8	-	-	PUNCT
cana-4829	242	9	cloud	cloud	NOUN
cana-4829	242	10	interaction	interaction	NOUN
cana-4829	242	11	.	.	PUNCT
cana-4829	243	1	[	[	X
cana-4829	243	2	23	23	NUM
cana-4829	243	3	]	]	X
cana-4829	243	4	yan	yan	PROPN
cana-4829	243	5	,	,	PUNCT
cana-4829	243	6	z.	z.	PROPN
cana-4829	243	7	,	,	PUNCT
cana-4829	243	8	li	li	PROPN
cana-4829	243	9	,	,	PUNCT
cana-4829	243	10	h.	h.	PROPN
cana-4829	243	11	,	,	PUNCT
cana-4829	243	12	zeadally	zeadally	ADV
cana-4829	243	13	,	,	PUNCT
cana-4829	243	14	s.	s.	PROPN
cana-4829	243	15	,	,	PUNCT
cana-4829	243	16	zeng	zeng	PROPN
cana-4829	243	17	,	,	PUNCT
cana-4829	243	18	y.	y.	PROPN
cana-4829	243	19	,	,	PUNCT
cana-4829	243	20	&	&	CCONJ
cana-4829	243	21	geng	geng	PROPN
cana-4829	243	22	,	,	PUNCT
cana-4829	243	23	g.	g.	PROPN
cana-4829	243	24	(	(	PUNCT
cana-4829	243	25	2019	2019	NUM
cana-4829	243	26	)	)	PUNCT
cana-4829	243	27	.	.	PUNCT
cana-4829	243	28	is	be	AUX
cana-4829	243	29	dns	dns	NOUN
cana-4829	243	30	ready	ready	ADJ
cana-4829	243	31	for	for	ADP
cana-4829	243	32	ubiquitous	ubiquitous	ADJ
cana-4829	243	33	internet	internet	NOUN
cana-4829	243	34	of	of	ADP
cana-4829	243	35	things	thing	NOUN
cana-4829	243	36	?	?	PUNCT
cana-4829	243	37	.	.	PUNCT
cana-4829	244	1	ieee	ieee	NOUN
cana-4829	244	2	access	access	NOUN
cana-4829	244	3	,	,	PUNCT
cana-4829	244	4	7	7	NUM
cana-4829	244	5	,	,	PUNCT
cana-4829	244	6	28835	28835	NUM
cana-4829	244	7	-	-	SYM
cana-4829	244	8	28846	28846	NUM
cana-4829	244	9	.	.	PUNCT
cana-4829	245	1	[	[	X
cana-4829	245	2	24	24	NUM
cana-4829	245	3	]	]	X
cana-4829	245	4	islam	islam	PROPN
cana-4829	245	5	,	,	PUNCT
cana-4829	245	6	m.	m.	NOUN
cana-4829	245	7	m.	m.	NOUN
cana-4829	245	8	(	(	PUNCT
cana-4829	245	9	2019	2019	NUM
cana-4829	245	10	)	)	PUNCT
cana-4829	245	11	.	.	PUNCT
cana-4829	246	1	a	a	DET
cana-4829	246	2	study	study	NOUN
cana-4829	246	3	of	of	ADP
cana-4829	246	4	dynamic	dynamic	ADJ
cana-4829	246	5	access	access	NOUN
cana-4829	246	6	-	-	PUNCT
cana-4829	246	7	point	point	NOUN
cana-4829	246	8	configuration	configuration	NOUN
cana-4829	246	9	and	and	CCONJ
cana-4829	246	10	power	power	NOUN
cana-4829	246	11	minimization	minimization	NOUN
cana-4829	246	12	in	in	ADP
cana-4829	246	13	elastic	elastic	ADJ
cana-4829	246	14	wireless	wireless	ADJ
cana-4829	246	15	local	local	ADJ
cana-4829	246	16	-	-	PUNCT
cana-4829	246	17	area	area	NOUN
cana-4829	246	18	network	network	NOUN
cana-4829	246	19	system	system	NOUN
cana-4829	246	20	.	.	PUNCT
cana-4829	247	1	[	[	X
cana-4829	247	2	25	25	NUM
cana-4829	247	3	]	]	X
cana-4829	247	4	genuario	genuario	PROPN
cana-4829	247	5	,	,	PUNCT
cana-4829	247	6	f.	f.	PROPN
cana-4829	247	7	,	,	PUNCT
cana-4829	247	8	santoro	santoro	PROPN
cana-4829	247	9	,	,	PUNCT
cana-4829	247	10	g.	g.	PROPN
cana-4829	247	11	,	,	PUNCT
cana-4829	247	12	giliberti	giliberti	PROPN
cana-4829	247	13	,	,	PUNCT
cana-4829	247	14	m.	m.	NOUN
cana-4829	247	15	,	,	PUNCT
cana-4829	247	16	bello	bello	PROPN
cana-4829	247	17	,	,	PUNCT
cana-4829	247	18	s.	s.	PROPN
cana-4829	247	19	,	,	PUNCT
cana-4829	247	20	zazzera	zazzera	PROPN
cana-4829	247	21	,	,	PUNCT
cana-4829	247	22	e.	e.	PROPN
cana-4829	247	23	,	,	PUNCT
cana-4829	247	24	&	&	CCONJ
cana-4829	247	25	impedovo	impedovo	PROPN
cana-4829	247	26	,	,	PUNCT
cana-4829	247	27	d.	d.	PROPN
cana-4829	247	28	(	(	PUNCT
cana-4829	247	29	2024	2024	NUM
cana-4829	247	30	)	)	PUNCT
cana-4829	247	31	.	.	PUNCT
cana-4829	248	1	machine	machine	NOUN
cana-4829	248	2	learning	learning	NOUN
cana-4829	248	3	-	-	PUNCT
cana-4829	248	4	based	base	VERB
cana-4829	248	5	methodologies	methodology	NOUN
cana-4829	248	6	for	for	ADP
cana-4829	248	7	cyber	cyber	NOUN
cana-4829	248	8	-	-	PUNCT
cana-4829	248	9	attacks	attack	NOUN
cana-4829	248	10	and	and	CCONJ
cana-4829	248	11	network	network	NOUN
cana-4829	248	12	traffic	traffic	NOUN
cana-4829	248	13	monitoring	monitoring	NOUN
cana-4829	248	14	:	:	PUNCT
cana-4829	248	15	a	a	DET
cana-4829	248	16	review	review	NOUN
cana-4829	248	17	and	and	CCONJ
cana-4829	248	18	insights	insight	NOUN
cana-4829	248	19	.	.	PUNCT
cana-4829	249	1	information	information	NOUN
cana-4829	249	2	,	,	PUNCT
cana-4829	249	3	15(11	15(11	NUM
cana-4829	249	4	)	)	PUNCT
cana-4829	249	5	,	,	PUNCT
cana-4829	249	6	741	741	NUM
cana-4829	249	7	.	.	PUNCT
cana-4829	250	1	[	[	X
cana-4829	250	2	26	26	NUM
cana-4829	250	3	]	]	X
cana-4829	250	4	gudla	gudla	PROPN
cana-4829	250	5	,	,	PUNCT
cana-4829	250	6	r.	r.	PROPN
cana-4829	250	7	,	,	PUNCT
cana-4829	250	8	vollala	vollala	NOUN
cana-4829	250	9	,	,	PUNCT
cana-4829	250	10	s.	s.	PROPN
cana-4829	250	11	,	,	PUNCT
cana-4829	250	12	srinivasa	srinivasa	PROPN
cana-4829	250	13	,	,	PUNCT
cana-4829	250	14	k.	k.	PROPN
cana-4829	250	15	g.	g.	PROPN
cana-4829	250	16	,	,	PUNCT
cana-4829	250	17	&	&	CCONJ
cana-4829	250	18	amin	amin	PROPN
cana-4829	250	19	,	,	PUNCT
cana-4829	250	20	r.	r.	PROPN
cana-4829	250	21	(	(	PUNCT
cana-4829	250	22	2024	2024	NUM
cana-4829	250	23	)	)	PUNCT
cana-4829	250	24	.	.	PUNCT
cana-4829	251	1	a	a	DET
cana-4829	251	2	novel	novel	ADJ
cana-4829	251	3	approach	approach	NOUN
cana-4829	251	4	for	for	ADP
cana-4829	251	5	classification	classification	NOUN
cana-4829	251	6	of	of	ADP
cana-4829	251	7	tor	tor	NOUN
cana-4829	251	8	and	and	CCONJ
cana-4829	251	9	non	non	ADJ
cana-4829	251	10	-	-	ADJ
cana-4829	251	11	tor	tor	ADJ
cana-4829	251	12	traffic	traffic	NOUN
cana-4829	251	13	using	use	VERB
cana-4829	251	14	efficient	efficient	ADJ
cana-4829	251	15	feature	feature	NOUN
cana-4829	251	16	selection	selection	NOUN
cana-4829	251	17	methods	method	NOUN
cana-4829	251	18	.	.	PUNCT
cana-4829	252	1	expert	expert	NOUN
cana-4829	252	2	systems	system	NOUN
cana-4829	252	3	with	with	ADP
cana-4829	252	4	applications	application	NOUN
cana-4829	252	5	,	,	PUNCT
cana-4829	252	6	249	249	NUM
cana-4829	252	7	,	,	PUNCT
cana-4829	252	8	123544	123544	NUM
cana-4829	252	9	.	.	PUNCT
cana-4829	253	1	[	[	X
cana-4829	253	2	27	27	NUM
cana-4829	253	3	]	]	X
cana-4829	253	4	gyamfi	gyamfi	PROPN
cana-4829	253	5	,	,	PUNCT
cana-4829	253	6	e.	e.	PROPN
cana-4829	253	7	,	,	PUNCT
cana-4829	253	8	&	&	CCONJ
cana-4829	253	9	jurcut	jurcut	PROPN
cana-4829	253	10	,	,	PUNCT
cana-4829	253	11	a.	a.	NOUN
cana-4829	253	12	(	(	PUNCT
cana-4829	253	13	2022	2022	NUM
cana-4829	253	14	)	)	PUNCT
cana-4829	253	15	.	.	PUNCT
cana-4829	254	1	intrusion	intrusion	NOUN
cana-4829	254	2	detection	detection	NOUN
cana-4829	254	3	in	in	ADP
cana-4829	254	4	internet	internet	NOUN
cana-4829	254	5	of	of	ADP
cana-4829	254	6	things	thing	NOUN
cana-4829	254	7	systems	system	NOUN
cana-4829	254	8	:	:	PUNCT
cana-4829	254	9	a	a	DET
cana-4829	254	10	review	review	NOUN
cana-4829	254	11	on	on	ADP
cana-4829	254	12	design	design	NOUN
cana-4829	254	13	approaches	approach	NOUN
cana-4829	254	14	leveraging	leverage	VERB
cana-4829	254	15	multi	multi	ADJ
cana-4829	254	16	-	-	ADJ
cana-4829	254	17	access	access	ADJ
cana-4829	254	18	edge	edge	NOUN
cana-4829	254	19	computing	computing	NOUN
cana-4829	254	20	,	,	PUNCT
cana-4829	254	21	machine	machine	NOUN
cana-4829	254	22	learning	learning	NOUN
cana-4829	254	23	,	,	PUNCT
cana-4829	254	24	and	and	CCONJ
cana-4829	254	25	datasets	dataset	NOUN
cana-4829	254	26	.	.	PUNCT
cana-4829	255	1	sensors	sensor	NOUN
cana-4829	255	2	,	,	PUNCT
cana-4829	255	3	22(10	22(10	NUM
cana-4829	255	4	)	)	PUNCT
cana-4829	255	5	,	,	PUNCT
cana-4829	255	6	3744	3744	NUM
cana-4829	255	7	.	.	PUNCT
cana-4829	256	1	[	[	X
cana-4829	256	2	28	28	NUM
cana-4829	256	3	]	]	X
cana-4829	256	4	fathi	fathi	PROPN
cana-4829	256	5	-	-	PUNCT
cana-4829	256	6	kazerooni	kazerooni	PROPN
cana-4829	256	7	,	,	PUNCT
cana-4829	256	8	s.	s.	PROPN
cana-4829	256	9	(	(	PUNCT
cana-4829	256	10	2020	2020	NUM
cana-4829	256	11	)	)	PUNCT
cana-4829	256	12	.	.	PUNCT
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cana-4829	257	2	internet	internet	NOUN
cana-4829	257	3	packet	packet	NOUN
cana-4829	257	4	classifiers	classifier	NOUN
cana-4829	257	5	to	to	PART
cana-4829	257	6	improve	improve	VERB
cana-4829	257	7	user	user	NOUN
cana-4829	257	8	online	online	PROPN
cana-4829	257	9	privacy	privacy	PROPN
cana-4829	257	10	(	(	PUNCT
cana-4829	257	11	doctoral	doctoral	ADJ
cana-4829	257	12	dissertation	dissertation	NOUN
cana-4829	257	13	,	,	PUNCT
cana-4829	257	14	new	new	PROPN
cana-4829	257	15	jersey	jersey	PROPN
cana-4829	257	16	institute	institute	PROPN
cana-4829	257	17	of	of	ADP
cana-4829	257	18	technology	technology	NOUN
cana-4829	257	19	)	)	PUNCT
cana-4829	257	20	.	.	PUNCT
cana-4829	258	1	[	[	X
cana-4829	258	2	29	29	NUM
cana-4829	258	3	]	]	PUNCT
cana-4829	258	4	matowe	matowe	NOUN
cana-4829	258	5	,	,	PUNCT
cana-4829	258	6	c.	c.	PROPN
cana-4829	258	7	(	(	PUNCT
cana-4829	258	8	2022	2022	NUM
cana-4829	258	9	)	)	PUNCT
cana-4829	258	10	.	.	PUNCT
cana-4829	259	1	using	use	VERB
cana-4829	259	2	deep	deep	ADJ
cana-4829	259	3	learning	learning	NOUN
cana-4829	259	4	to	to	PART
cana-4829	259	5	classify	classify	VERB
cana-4829	259	6	community	community	NOUN
cana-4829	259	7	network	network	NOUN
cana-4829	259	8	traffic	traffic	NOUN
cana-4829	259	9	.	.	PUNCT
cana-4829	260	1	[	[	X
cana-4829	260	2	30	30	NUM
cana-4829	260	3	]	]	X
cana-4829	260	4	ahmad	ahmad	PROPN
cana-4829	260	5	,	,	PUNCT
cana-4829	260	6	i.	i.	PROPN
cana-4829	260	7	,	,	PUNCT
cana-4829	260	8	shahabuddin	shahabuddin	NOUN
cana-4829	260	9	,	,	PUNCT
cana-4829	260	10	s.	s.	PROPN
cana-4829	260	11	,	,	PUNCT
cana-4829	260	12	malik	malik	PROPN
cana-4829	260	13	,	,	PUNCT
cana-4829	260	14	h.	h.	PROPN
cana-4829	260	15	,	,	PUNCT
cana-4829	260	16	harjula	harjula	PROPN
cana-4829	260	17	,	,	PUNCT
cana-4829	260	18	e.	e.	PROPN
cana-4829	260	19	,	,	PUNCT
cana-4829	260	20	leppänen	leppänen	PROPN
cana-4829	260	21	,	,	PUNCT
cana-4829	260	22	t.	t.	PROPN
cana-4829	260	23	,	,	PUNCT
cana-4829	260	24	loven	loven	PROPN
cana-4829	260	25	,	,	PUNCT
cana-4829	260	26	l.	l.	PROPN
cana-4829	260	27	,	,	PUNCT
cana-4829	260	28	...	...	PUNCT
cana-4829	260	29	&	&	CCONJ
cana-4829	260	30	riekki	riekki	PROPN
cana-4829	260	31	,	,	PUNCT
cana-4829	260	32	j.	j.	PROPN
cana-4829	260	33	(	(	PUNCT
cana-4829	260	34	2020	2020	NUM
cana-4829	260	35	)	)	PUNCT
cana-4829	260	36	.	.	PUNCT
cana-4829	261	1	machine	machine	NOUN
cana-4829	261	2	learning	learning	NOUN
cana-4829	261	3	meets	meet	VERB
cana-4829	261	4	communication	communication	NOUN
cana-4829	261	5	networks	network	NOUN
cana-4829	261	6	:	:	PUNCT
cana-4829	261	7	current	current	ADJ
cana-4829	261	8	trends	trend	NOUN
cana-4829	261	9	and	and	CCONJ
cana-4829	261	10	future	future	ADJ
cana-4829	261	11	challenges	challenge	NOUN
cana-4829	261	12	.	.	PUNCT
cana-4829	262	1	ieee	ieee	NOUN
cana-4829	262	2	access	access	NOUN
cana-4829	262	3	,	,	PUNCT
cana-4829	262	4	8	8	NUM
cana-4829	262	5	,	,	PUNCT
cana-4829	262	6	223418	223418	NUM
cana-4829	262	7	-	-	SYM
cana-4829	262	8	223460	223460	NUM
cana-4829	262	9	.	.	PUNCT
cana-4829	263	1	925848495	925848495	NUM