id	sid	tid	token	lemma	pos
ajst-3594	1	1	academic	academic	ADJ
ajst-3594	1	2	journal	journal	NOUN
ajst-3594	1	3	of	of	ADP
ajst-3594	1	4	science	science	NOUN
ajst-3594	1	5	and	and	CCONJ
ajst-3594	1	6	technology	technology	NOUN
ajst-3594	1	7	issn	issn	NOUN
ajst-3594	1	8	:	:	PUNCT
ajst-3594	1	9	2771	2771	NUM
ajst-3594	1	10	-	-	SYM
ajst-3594	1	11	3032	3032	NUM
ajst-3594	1	12	|	|	NOUN
ajst-3594	1	13	vol	vol	NOUN
ajst-3594	1	14	.	.	PROPN
ajst-3594	2	1	4	4	NUM
ajst-3594	2	2	,	,	PUNCT
ajst-3594	2	3	no	no	INTJ
ajst-3594	2	4	.	.	NOUN
ajst-3594	2	5	1	1	NUM
ajst-3594	2	6	,	,	PUNCT
ajst-3594	2	7	2022	2022	NUM
ajst-3594	2	8	121	121	NUM
ajst-3594	2	9	research	research	NOUN
ajst-3594	2	10	on	on	ADP
ajst-3594	2	11	network	network	NOUN
ajst-3594	2	12	traffic	traffic	NOUN
ajst-3594	2	13	anomaly	anomaly	NOUN
ajst-3594	2	14	detection	detection	NOUN
ajst-3594	2	15	method	method	NOUN
ajst-3594	2	16	based	base	VERB
ajst-3594	2	17	on	on	ADP
ajst-3594	2	18	python	python	PROPN
ajst-3594	2	19	mingfeng	mingfeng	PROPN
ajst-3594	2	20	cai	cai	PROPN
ajst-3594	2	21	international	international	PROPN
ajst-3594	2	22	department	department	PROPN
ajst-3594	2	23	of	of	ADP
ajst-3594	2	24	fujian	fujian	PROPN
ajst-3594	2	25	quanzhou	quanzhou	PROPN
ajst-3594	2	26	shenghu	shenghu	PROPN
ajst-3594	2	27	experimental	experimental	PROPN
ajst-3594	2	28	middle	middle	PROPN
ajst-3594	2	29	school	school	PROPN
ajst-3594	2	30	,	,	PUNCT
ajst-3594	2	31	fujian	fujian	PROPN
ajst-3594	2	32	,	,	PUNCT
ajst-3594	2	33	china	china	PROPN
ajst-3594	2	34	abstract	abstract	NOUN
ajst-3594	2	35	:	:	PUNCT
ajst-3594	2	36	abnormal	abnormal	ADJ
ajst-3594	2	37	traffic	traffic	NOUN
ajst-3594	2	38	is	be	AUX
ajst-3594	2	39	the	the	DET
ajst-3594	2	40	traffic	traffic	NOUN
ajst-3594	2	41	that	that	PRON
ajst-3594	2	42	differs	differ	VERB
ajst-3594	2	43	from	from	ADP
ajst-3594	2	44	the	the	DET
ajst-3594	2	45	normal	normal	ADJ
ajst-3594	2	46	range	range	NOUN
ajst-3594	2	47	of	of	ADP
ajst-3594	2	48	network	network	NOUN
ajst-3594	2	49	services	service	NOUN
ajst-3594	2	50	.	.	PUNCT
ajst-3594	3	1	objective	objective	ADJ
ajst-3594	3	2	social	social	ADJ
ajst-3594	3	3	and	and	CCONJ
ajst-3594	3	4	natural	natural	ADJ
ajst-3594	3	5	phenomena	phenomenon	NOUN
ajst-3594	3	6	,	,	PUNCT
ajst-3594	3	7	network	network	NOUN
ajst-3594	3	8	equipment	equipment	NOUN
ajst-3594	3	9	failures	failure	NOUN
ajst-3594	3	10	on	on	ADP
ajst-3594	3	11	hardware	hardware	NOUN
ajst-3594	3	12	,	,	PUNCT
ajst-3594	3	13	and	and	CCONJ
ajst-3594	3	14	man	man	NOUN
ajst-3594	3	15	-	-	PUNCT
ajst-3594	3	16	made	make	VERB
ajst-3594	3	17	malicious	malicious	ADJ
ajst-3594	3	18	attacks	attack	NOUN
ajst-3594	3	19	can	can	AUX
ajst-3594	3	20	all	all	PRON
ajst-3594	3	21	lead	lead	VERB
ajst-3594	3	22	to	to	ADP
ajst-3594	3	23	abnormal	abnormal	ADJ
ajst-3594	3	24	network	network	NOUN
ajst-3594	3	25	traffic	traffic	NOUN
ajst-3594	3	26	.	.	PUNCT
ajst-3594	4	1	python	python	PROPN
ajst-3594	4	2	is	be	AUX
ajst-3594	4	3	a	a	DET
ajst-3594	4	4	computer	computer	NOUN
ajst-3594	4	5	programming	programming	NOUN
ajst-3594	4	6	language	language	NOUN
ajst-3594	4	7	that	that	PRON
ajst-3594	4	8	can	can	AUX
ajst-3594	4	9	realize	realize	VERB
ajst-3594	4	10	cross	cross	ADJ
ajst-3594	4	11	-	-	ADJ
ajst-3594	4	12	platform	platform	ADJ
ajst-3594	4	13	interaction	interaction	NOUN
ajst-3594	4	14	,	,	PUNCT
ajst-3594	4	15	and	and	CCONJ
ajst-3594	4	16	it	it	PRON
ajst-3594	4	17	is	be	AUX
ajst-3594	4	18	also	also	ADV
ajst-3594	4	19	an	an	DET
ajst-3594	4	20	object	object	NOUN
ajst-3594	4	21	-	-	PUNCT
ajst-3594	4	22	oriented	orient	VERB
ajst-3594	4	23	explanatory	explanatory	ADJ
ajst-3594	4	24	and	and	CCONJ
ajst-3594	4	25	interactive	interactive	ADJ
ajst-3594	4	26	scripting	scripting	NOUN
ajst-3594	4	27	language	language	NOUN
ajst-3594	4	28	.	.	PUNCT
ajst-3594	5	1	based	base	VERB
ajst-3594	5	2	on	on	ADP
ajst-3594	5	3	this	this	PRON
ajst-3594	5	4	,	,	PUNCT
ajst-3594	5	5	this	this	DET
ajst-3594	5	6	paper	paper	NOUN
ajst-3594	5	7	studies	study	VERB
ajst-3594	5	8	the	the	DET
ajst-3594	5	9	network	network	NOUN
ajst-3594	5	10	traffic	traffic	NOUN
ajst-3594	5	11	anomaly	anomaly	NOUN
ajst-3594	5	12	detection	detection	NOUN
ajst-3594	5	13	method	method	NOUN
ajst-3594	5	14	based	base	VERB
ajst-3594	5	15	on	on	ADP
ajst-3594	5	16	python	python	PROPN
ajst-3594	5	17	.	.	PUNCT
ajst-3594	6	1	by	by	ADP
ajst-3594	6	2	sampling	sample	VERB
ajst-3594	6	3	the	the	DET
ajst-3594	6	4	data	data	NOUN
ajst-3594	6	5	sets	set	NOUN
ajst-3594	6	6	divided	divide	VERB
ajst-3594	6	7	by	by	ADP
ajst-3594	6	8	each	each	DET
ajst-3594	6	9	layer	layer	NOUN
ajst-3594	6	10	with	with	ADP
ajst-3594	6	11	different	different	ADJ
ajst-3594	6	12	strategies	strategy	NOUN
ajst-3594	6	13	,	,	PUNCT
ajst-3594	6	14	multiple	multiple	ADJ
ajst-3594	6	15	balanced	balanced	ADJ
ajst-3594	6	16	sub	sub	ADJ
ajst-3594	6	17	-	-	ADJ
ajst-3594	6	18	data	data	ADJ
ajst-3594	6	19	sets	set	NOUN
ajst-3594	6	20	are	be	AUX
ajst-3594	6	21	obtained	obtain	VERB
ajst-3594	6	22	,	,	PUNCT
ajst-3594	6	23	and	and	CCONJ
ajst-3594	6	24	the	the	DET
ajst-3594	6	25	feature	feature	NOUN
ajst-3594	6	26	selection	selection	NOUN
ajst-3594	6	27	fusion	fusion	NOUN
ajst-3594	6	28	method	method	NOUN
ajst-3594	6	29	proposed	propose	VERB
ajst-3594	6	30	in	in	ADP
ajst-3594	6	31	the	the	DET
ajst-3594	6	32	previous	previous	ADJ
ajst-3594	6	33	section	section	NOUN
ajst-3594	6	34	is	be	AUX
ajst-3594	6	35	applied	apply	VERB
ajst-3594	6	36	to	to	ADP
ajst-3594	6	37	each	each	DET
ajst-3594	6	38	sub	sub	ADJ
ajst-3594	6	39	-	-	ADJ
ajst-3594	6	40	data	datum	NOUN
ajst-3594	6	41	set	set	NOUN
ajst-3594	6	42	to	to	PART
ajst-3594	6	43	obtain	obtain	VERB
ajst-3594	6	44	the	the	DET
ajst-3594	6	45	corresponding	corresponding	ADJ
ajst-3594	6	46	optimal	optimal	ADJ
ajst-3594	6	47	feature	feature	NOUN
ajst-3594	6	48	subset	subset	NOUN
ajst-3594	6	49	,	,	PUNCT
ajst-3594	6	50	which	which	PRON
ajst-3594	6	51	is	be	AUX
ajst-3594	6	52	used	use	VERB
ajst-3594	6	53	to	to	PART
ajst-3594	6	54	train	train	VERB
ajst-3594	6	55	multiple	multiple	ADJ
ajst-3594	6	56	base	base	NOUN
ajst-3594	6	57	classifiers	classifier	NOUN
ajst-3594	6	58	to	to	PART
ajst-3594	6	59	perform	perform	VERB
ajst-3594	6	60	anomaly	anomaly	NOUN
ajst-3594	6	61	detection	detection	NOUN
ajst-3594	6	62	in	in	ADP
ajst-3594	6	63	this	this	DET
ajst-3594	6	64	layer	layer	NOUN
ajst-3594	6	65	.	.	PUNCT
ajst-3594	7	1	the	the	DET
ajst-3594	7	2	results	result	NOUN
ajst-3594	7	3	show	show	VERB
ajst-3594	7	4	that	that	SCONJ
ajst-3594	7	5	python	python	NOUN
ajst-3594	7	6	-	-	PUNCT
ajst-3594	7	7	based	base	VERB
ajst-3594	7	8	network	network	NOUN
ajst-3594	7	9	traffic	traffic	NOUN
ajst-3594	7	10	anomaly	anomaly	NOUN
ajst-3594	7	11	detection	detection	NOUN
ajst-3594	7	12	method	method	NOUN
ajst-3594	7	13	is	be	AUX
ajst-3594	7	14	superior	superior	ADJ
ajst-3594	7	15	to	to	ADP
ajst-3594	7	16	the	the	DET
ajst-3594	7	17	traditional	traditional	ADJ
ajst-3594	7	18	algorithm	algorithm	NOUN
ajst-3594	7	19	in	in	ADP
ajst-3594	7	20	accuracy	accuracy	NOUN
ajst-3594	7	21	and	and	CCONJ
ajst-3594	7	22	f1	f1	NOUN
ajst-3594	7	23	-	-	PUNCT
ajst-3594	7	24	score	score	NOUN
ajst-3594	7	25	.	.	PUNCT
ajst-3594	8	1	keywords	keyword	NOUN
ajst-3594	8	2	:	:	PUNCT
ajst-3594	8	3	python	python	NOUN
ajst-3594	8	4	,	,	PUNCT
ajst-3594	8	5	abnormal	abnormal	ADJ
ajst-3594	8	6	traffic	traffic	NOUN
ajst-3594	8	7	,	,	PUNCT
ajst-3594	8	8	traffic	traffic	NOUN
ajst-3594	8	9	detection	detection	NOUN
ajst-3594	8	10	.	.	PUNCT
ajst-3594	9	1	1	1	X
ajst-3594	9	2	.	.	X
ajst-3594	9	3	introduction	introduction	NOUN
ajst-3594	9	4	anomaly	anomaly	NOUN
ajst-3594	9	5	detection	detection	NOUN
ajst-3594	9	6	of	of	ADP
ajst-3594	9	7	massive	massive	ADJ
ajst-3594	9	8	network	network	NOUN
ajst-3594	9	9	traffic	traffic	NOUN
ajst-3594	9	10	is	be	AUX
ajst-3594	9	11	an	an	DET
ajst-3594	9	12	important	important	ADJ
ajst-3594	9	13	technology	technology	NOUN
ajst-3594	9	14	of	of	ADP
ajst-3594	9	15	new	new	ADJ
ajst-3594	9	16	network	network	NOUN
ajst-3594	9	17	attack	attack	NOUN
ajst-3594	9	18	detection	detection	NOUN
ajst-3594	9	19	,	,	PUNCT
ajst-3594	9	20	but	but	CCONJ
ajst-3594	9	21	the	the	DET
ajst-3594	9	22	processing	processing	NOUN
ajst-3594	9	23	efficiency	efficiency	NOUN
ajst-3594	9	24	ca	can	AUX
ajst-3594	9	25	n't	not	PART
ajst-3594	9	26	meet	meet	VERB
ajst-3594	9	27	the	the	DET
ajst-3594	9	28	real	real	ADJ
ajst-3594	9	29	-	-	PUNCT
ajst-3594	9	30	time	time	NOUN
ajst-3594	9	31	requirement	requirement	NOUN
ajst-3594	9	32	because	because	SCONJ
ajst-3594	9	33	of	of	ADP
ajst-3594	9	34	the	the	DET
ajst-3594	9	35	massive	massive	ADJ
ajst-3594	9	36	data	datum	NOUN
ajst-3594	9	37	[	[	X
ajst-3594	9	38	1	1	NUM
ajst-3594	9	39	-	-	SYM
ajst-3594	9	40	2	2	NUM
ajst-3594	9	41	]	]	PUNCT
ajst-3594	9	42	.	.	PUNCT
ajst-3594	10	1	information	information	NOUN
ajst-3594	10	2	technology	technology	NOUN
ajst-3594	10	3	is	be	AUX
ajst-3594	10	4	affecting	affect	VERB
ajst-3594	10	5	people	people	NOUN
ajst-3594	10	6	's	's	PART
ajst-3594	10	7	life	life	NOUN
ajst-3594	10	8	style	style	NOUN
ajst-3594	10	9	and	and	CCONJ
ajst-3594	10	10	working	working	NOUN
ajst-3594	10	11	mode	mode	NOUN
ajst-3594	10	12	.	.	PUNCT
ajst-3594	11	1	from	from	ADP
ajst-3594	11	2	government	government	NOUN
ajst-3594	11	3	agencies	agency	NOUN
ajst-3594	11	4	to	to	ADP
ajst-3594	11	5	various	various	ADJ
ajst-3594	11	6	enterprises	enterprise	NOUN
ajst-3594	11	7	,	,	PUNCT
ajst-3594	11	8	network	network	NOUN
ajst-3594	11	9	information	information	NOUN
ajst-3594	11	10	technology	technology	NOUN
ajst-3594	11	11	is	be	AUX
ajst-3594	11	12	needed	need	VERB
ajst-3594	11	13	to	to	PART
ajst-3594	11	14	provide	provide	VERB
ajst-3594	11	15	work	work	NOUN
ajst-3594	11	16	convenience	convenience	NOUN
ajst-3594	11	17	.	.	PUNCT
ajst-3594	12	1	the	the	DET
ajst-3594	12	2	security	security	NOUN
ajst-3594	12	3	and	and	CCONJ
ajst-3594	12	4	reliability	reliability	NOUN
ajst-3594	12	5	of	of	ADP
ajst-3594	12	6	the	the	DET
ajst-3594	12	7	network	network	NOUN
ajst-3594	12	8	are	be	AUX
ajst-3594	12	9	related	relate	VERB
ajst-3594	12	10	to	to	ADP
ajst-3594	12	11	the	the	DET
ajst-3594	12	12	business	business	NOUN
ajst-3594	12	13	operation	operation	NOUN
ajst-3594	12	14	all	all	DET
ajst-3594	12	15	the	the	DET
ajst-3594	12	16	time	time	NOUN
ajst-3594	12	17	.	.	PUNCT
ajst-3594	13	1	therefore	therefore	ADV
ajst-3594	13	2	,	,	PUNCT
ajst-3594	13	3	it	it	PRON
ajst-3594	13	4	is	be	AUX
ajst-3594	13	5	increasingly	increasingly	ADV
ajst-3594	13	6	difficult	difficult	ADJ
ajst-3594	13	7	to	to	PART
ajst-3594	13	8	detect	detect	VERB
ajst-3594	13	9	abnormal	abnormal	ADJ
ajst-3594	13	10	network	network	NOUN
ajst-3594	13	11	traffic	traffic	NOUN
ajst-3594	13	12	,	,	PUNCT
ajst-3594	13	13	and	and	CCONJ
ajst-3594	13	14	it	it	PRON
ajst-3594	13	15	has	have	AUX
ajst-3594	13	16	become	become	VERB
ajst-3594	13	17	one	one	NUM
ajst-3594	13	18	of	of	ADP
ajst-3594	13	19	the	the	DET
ajst-3594	13	20	hot	hot	ADJ
ajst-3594	13	21	issues	issue	NOUN
ajst-3594	13	22	to	to	PART
ajst-3594	13	23	study	study	VERB
ajst-3594	13	24	new	new	ADJ
ajst-3594	13	25	methods	method	NOUN
ajst-3594	13	26	of	of	ADP
ajst-3594	13	27	abnormal	abnormal	ADJ
ajst-3594	13	28	network	network	NOUN
ajst-3594	13	29	traffic	traffic	NOUN
ajst-3594	13	30	,	,	PUNCT
ajst-3594	13	31	deal	deal	VERB
ajst-3594	13	32	with	with	ADP
ajst-3594	13	33	endless	endless	ADJ
ajst-3594	13	34	types	type	NOUN
ajst-3594	13	35	of	of	ADP
ajst-3594	13	36	abnormal	abnormal	ADJ
ajst-3594	13	37	network	network	NOUN
ajst-3594	13	38	traffic	traffic	NOUN
ajst-3594	13	39	,	,	PUNCT
ajst-3594	13	40	and	and	CCONJ
ajst-3594	13	41	improve	improve	VERB
ajst-3594	13	42	the	the	DET
ajst-3594	13	43	efficiency	efficiency	NOUN
ajst-3594	13	44	and	and	CCONJ
ajst-3594	13	45	accuracy	accuracy	NOUN
ajst-3594	13	46	of	of	ADP
ajst-3594	13	47	detection	detection	NOUN
ajst-3594	13	48	[	[	X
ajst-3594	13	49	3	3	NUM
ajst-3594	13	50	]	]	PUNCT
ajst-3594	13	51	.	.	PUNCT
ajst-3594	14	1	python	python	PROPN
ajst-3594	14	2	is	be	AUX
ajst-3594	14	3	a	a	DET
ajst-3594	14	4	computer	computer	NOUN
ajst-3594	14	5	programming	programming	NOUN
ajst-3594	14	6	language	language	NOUN
ajst-3594	14	7	that	that	PRON
ajst-3594	14	8	can	can	AUX
ajst-3594	14	9	realize	realize	VERB
ajst-3594	14	10	cross	cross	ADJ
ajst-3594	14	11	-	-	ADJ
ajst-3594	14	12	platform	platform	ADJ
ajst-3594	14	13	interaction	interaction	NOUN
ajst-3594	14	14	,	,	PUNCT
ajst-3594	14	15	and	and	CCONJ
ajst-3594	14	16	it	it	PRON
ajst-3594	14	17	is	be	AUX
ajst-3594	14	18	also	also	ADV
ajst-3594	14	19	an	an	DET
ajst-3594	14	20	object	object	NOUN
ajst-3594	14	21	-	-	PUNCT
ajst-3594	14	22	oriented	orient	VERB
ajst-3594	14	23	explanatory	explanatory	ADJ
ajst-3594	14	24	and	and	CCONJ
ajst-3594	14	25	interactive	interactive	ADJ
ajst-3594	14	26	scripting	scripting	NOUN
ajst-3594	14	27	language	language	NOUN
ajst-3594	14	28	.	.	PUNCT
ajst-3594	15	1	based	base	VERB
ajst-3594	15	2	on	on	ADP
ajst-3594	15	3	this	this	PRON
ajst-3594	15	4	,	,	PUNCT
ajst-3594	15	5	this	this	DET
ajst-3594	15	6	paper	paper	NOUN
ajst-3594	15	7	studies	study	VERB
ajst-3594	15	8	the	the	DET
ajst-3594	15	9	network	network	NOUN
ajst-3594	15	10	traffic	traffic	NOUN
ajst-3594	15	11	anomaly	anomaly	NOUN
ajst-3594	15	12	detection	detection	NOUN
ajst-3594	15	13	method	method	NOUN
ajst-3594	15	14	based	base	VERB
ajst-3594	15	15	on	on	ADP
ajst-3594	15	16	python	python	PROPN
ajst-3594	15	17	.	.	PUNCT
ajst-3594	16	1	2	2	X
ajst-3594	16	2	.	.	X
ajst-3594	16	3	research	research	NOUN
ajst-3594	16	4	method	method	NOUN
ajst-3594	16	5	2.1	2.1	NUM
ajst-3594	16	6	.	.	PUNCT
ajst-3594	17	1	overall	overall	ADJ
ajst-3594	17	2	design	design	NOUN
ajst-3594	17	3	of	of	ADP
ajst-3594	17	4	model	model	NOUN
ajst-3594	17	5	the	the	DET
ajst-3594	17	6	types	type	NOUN
ajst-3594	17	7	of	of	ADP
ajst-3594	17	8	abnormal	abnormal	ADJ
ajst-3594	17	9	network	network	NOUN
ajst-3594	17	10	traffic	traffic	NOUN
ajst-3594	17	11	mainly	mainly	ADV
ajst-3594	17	12	include	include	VERB
ajst-3594	17	13	alpha	alpha	NOUN
ajst-3594	17	14	anomaly	anomaly	NOUN
ajst-3594	17	15	,	,	PUNCT
ajst-3594	17	16	ddos	ddo	NOUN
ajst-3594	17	17	,	,	PUNCT
ajst-3594	17	18	port	port	NOUN
ajst-3594	17	19	scan	scan	NOUN
ajst-3594	17	20	,	,	PUNCT
ajst-3594	17	21	network	network	NOUN
ajst-3594	17	22	scan	scan	NOUN
ajst-3594	17	23	,	,	PUNCT
ajst-3594	17	24	worms	worm	NOUN
ajst-3594	17	25	and	and	CCONJ
ajst-3594	17	26	flash	flash	NOUN
ajst-3594	17	27	crowd	crowd	NOUN
ajst-3594	17	28	[	[	X
ajst-3594	17	29	4	4	NUM
ajst-3594	17	30	-	-	SYM
ajst-3594	17	31	5	5	NUM
ajst-3594	17	32	]	]	PUNCT
ajst-3594	17	33	.	.	PUNCT
ajst-3594	18	1	common	common	ADJ
ajst-3594	18	2	network	network	NOUN
ajst-3594	18	3	attacks	attack	NOUN
ajst-3594	18	4	can	can	AUX
ajst-3594	18	5	be	be	AUX
ajst-3594	18	6	divided	divide	VERB
ajst-3594	18	7	into	into	ADP
ajst-3594	18	8	three	three	NUM
ajst-3594	18	9	categories	category	NOUN
ajst-3594	18	10	:	:	PUNCT
ajst-3594	18	11	first	first	ADJ
ajst-3594	18	12	,	,	PUNCT
ajst-3594	18	13	reconnaissance	reconnaissance	NOUN
ajst-3594	18	14	and	and	CCONJ
ajst-3594	18	15	tracking	tracking	NOUN
ajst-3594	18	16	attacks	attack	NOUN
ajst-3594	18	17	:	:	PUNCT
ajst-3594	18	18	stealing	steal	VERB
ajst-3594	18	19	all	all	DET
ajst-3594	18	20	kinds	kind	NOUN
ajst-3594	18	21	of	of	ADP
ajst-3594	18	22	information	information	NOUN
ajst-3594	18	23	of	of	ADP
ajst-3594	18	24	the	the	DET
ajst-3594	18	25	target	target	NOUN
ajst-3594	18	26	computer	computer	NOUN
ajst-3594	18	27	;	;	PUNCT
ajst-3594	18	28	second	second	ADJ
ajst-3594	18	29	,	,	PUNCT
ajst-3594	18	30	access	access	NOUN
ajst-3594	18	31	attack	attack	NOUN
ajst-3594	18	32	:	:	PUNCT
ajst-3594	18	33	using	use	VERB
ajst-3594	18	34	system	system	NOUN
ajst-3594	18	35	vulnerabilities	vulnerability	NOUN
ajst-3594	18	36	to	to	PART
ajst-3594	18	37	gain	gain	VERB
ajst-3594	18	38	host	host	NOUN
ajst-3594	18	39	control	control	NOUN
ajst-3594	18	40	rights	right	NOUN
ajst-3594	18	41	;	;	PUNCT
ajst-3594	18	42	the	the	DET
ajst-3594	18	43	third	third	NOUN
ajst-3594	18	44	is	be	AUX
ajst-3594	18	45	to	to	PART
ajst-3594	18	46	refuse	refuse	VERB
ajst-3594	18	47	service	service	NOUN
ajst-3594	18	48	.	.	PUNCT
ajst-3594	19	1	network	network	NOUN
ajst-3594	19	2	traffic	traffic	NOUN
ajst-3594	19	3	anomaly	anomaly	NOUN
ajst-3594	19	4	detection	detection	NOUN
ajst-3594	19	5	is	be	AUX
ajst-3594	19	6	to	to	PART
ajst-3594	19	7	analyze	analyze	VERB
ajst-3594	19	8	network	network	NOUN
ajst-3594	19	9	traffic	traffic	NOUN
ajst-3594	19	10	by	by	ADP
ajst-3594	19	11	applying	apply	VERB
ajst-3594	19	12	various	various	ADJ
ajst-3594	19	13	anomaly	anomaly	NOUN
ajst-3594	19	14	detection	detection	NOUN
ajst-3594	19	15	techniques	technique	NOUN
ajst-3594	19	16	to	to	PART
ajst-3594	19	17	find	find	VERB
ajst-3594	19	18	network	network	NOUN
ajst-3594	19	19	attacks	attack	NOUN
ajst-3594	19	20	in	in	ADP
ajst-3594	19	21	advance	advance	NOUN
ajst-3594	19	22	.	.	PUNCT
ajst-3594	20	1	network	network	NOUN
ajst-3594	20	2	traffic	traffic	NOUN
ajst-3594	20	3	collection	collection	NOUN
ajst-3594	20	4	is	be	AUX
ajst-3594	20	5	a	a	DET
ajst-3594	20	6	complete	complete	ADJ
ajst-3594	20	7	tool	tool	NOUN
ajst-3594	20	8	system	system	NOUN
ajst-3594	20	9	,	,	PUNCT
ajst-3594	20	10	which	which	PRON
ajst-3594	20	11	includes	include	VERB
ajst-3594	20	12	the	the	DET
ajst-3594	20	13	acquisition	acquisition	NOUN
ajst-3594	20	14	,	,	PUNCT
ajst-3594	20	15	transmission	transmission	NOUN
ajst-3594	20	16	,	,	PUNCT
ajst-3594	20	17	storage	storage	NOUN
ajst-3594	20	18	,	,	PUNCT
ajst-3594	20	19	analysis	analysis	NOUN
ajst-3594	20	20	and	and	CCONJ
ajst-3594	20	21	display	display	NOUN
ajst-3594	20	22	of	of	ADP
ajst-3594	20	23	hardware	hardware	NOUN
ajst-3594	20	24	network	network	NOUN
ajst-3594	20	25	traffic	traffic	NOUN
ajst-3594	20	26	data	datum	NOUN
ajst-3594	20	27	.	.	PUNCT
ajst-3594	21	1	in	in	ADP
ajst-3594	21	2	the	the	DET
ajst-3594	21	3	network	network	NOUN
ajst-3594	21	4	traffic	traffic	NOUN
ajst-3594	21	5	collection	collection	NOUN
ajst-3594	21	6	system	system	NOUN
ajst-3594	21	7	,	,	PUNCT
ajst-3594	21	8	the	the	DET
ajst-3594	21	9	method	method	NOUN
ajst-3594	21	10	of	of	ADP
ajst-3594	21	11	collecting	collect	VERB
ajst-3594	21	12	raw	raw	ADJ
ajst-3594	21	13	traffic	traffic	NOUN
ajst-3594	21	14	data	datum	NOUN
ajst-3594	21	15	is	be	AUX
ajst-3594	21	16	its	its	PRON
ajst-3594	21	17	core	core	NOUN
ajst-3594	21	18	technology	technology	NOUN
ajst-3594	21	19	.	.	PUNCT
ajst-3594	22	1	in	in	ADP
ajst-3594	22	2	most	most	ADJ
ajst-3594	22	3	cases	case	NOUN
ajst-3594	22	4	,	,	PUNCT
ajst-3594	22	5	it	it	PRON
ajst-3594	22	6	is	be	AUX
ajst-3594	22	7	used	use	VERB
ajst-3594	22	8	in	in	ADP
ajst-3594	22	9	lan	lan	PROPN
ajst-3594	22	10	.	.	PUNCT
ajst-3594	23	1	because	because	SCONJ
ajst-3594	23	2	the	the	DET
ajst-3594	23	3	network	network	NOUN
ajst-3594	23	4	probe	probe	NOUN
ajst-3594	23	5	is	be	AUX
ajst-3594	23	6	not	not	PART
ajst-3594	23	7	routed	route	VERB
ajst-3594	23	8	,	,	PUNCT
ajst-3594	23	9	the	the	DET
ajst-3594	23	10	installation	installation	NOUN
ajst-3594	23	11	of	of	ADP
ajst-3594	23	12	the	the	DET
ajst-3594	23	13	network	network	NOUN
ajst-3594	23	14	probe	probe	NOUN
ajst-3594	23	15	has	have	VERB
ajst-3594	23	16	little	little	ADJ
ajst-3594	23	17	impact	impact	NOUN
ajst-3594	23	18	on	on	ADP
ajst-3594	23	19	the	the	DET
ajst-3594	23	20	overall	overall	ADJ
ajst-3594	23	21	bandwidth	bandwidth	NOUN
ajst-3594	23	22	of	of	ADP
ajst-3594	23	23	the	the	DET
ajst-3594	23	24	network	network	NOUN
ajst-3594	23	25	.	.	PUNCT
ajst-3594	24	1	the	the	DET
ajst-3594	24	2	transmission	transmission	NOUN
ajst-3594	24	3	rate	rate	NOUN
ajst-3594	24	4	of	of	ADP
ajst-3594	24	5	the	the	DET
ajst-3594	24	6	connection	connection	NOUN
ajst-3594	24	7	interface	interface	NOUN
ajst-3594	24	8	where	where	SCONJ
ajst-3594	24	9	the	the	DET
ajst-3594	24	10	network	network	NOUN
ajst-3594	24	11	probe	probe	NOUN
ajst-3594	24	12	is	be	AUX
ajst-3594	24	13	installed	instal	VERB
ajst-3594	24	14	,	,	PUNCT
ajst-3594	24	15	the	the	DET
ajst-3594	24	16	cache	cache	NOUN
ajst-3594	24	17	and	and	CCONJ
ajst-3594	24	18	data	datum	NOUN
ajst-3594	24	19	processing	processing	NOUN
ajst-3594	24	20	capability	capability	NOUN
ajst-3594	24	21	of	of	ADP
ajst-3594	24	22	the	the	DET
ajst-3594	24	23	monitoring	monitoring	NOUN
ajst-3594	24	24	host	host	NOUN
ajst-3594	24	25	will	will	AUX
ajst-3594	24	26	all	all	ADV
ajst-3594	24	27	affect	affect	VERB
ajst-3594	24	28	the	the	DET
ajst-3594	24	29	accuracy	accuracy	NOUN
ajst-3594	24	30	and	and	CCONJ
ajst-3594	24	31	efficiency	efficiency	NOUN
ajst-3594	24	32	of	of	ADP
ajst-3594	24	33	traffic	traffic	NOUN
ajst-3594	24	34	collection	collection	NOUN
ajst-3594	24	35	.	.	PUNCT
ajst-3594	25	1	therefore	therefore	ADV
ajst-3594	25	2	,	,	PUNCT
ajst-3594	25	3	the	the	DET
ajst-3594	25	4	applicability	applicability	NOUN
ajst-3594	25	5	of	of	ADP
ajst-3594	25	6	this	this	DET
ajst-3594	25	7	method	method	NOUN
ajst-3594	25	8	to	to	ADP
ajst-3594	25	9	the	the	DET
ajst-3594	25	10	network	network	NOUN
ajst-3594	25	11	with	with	ADP
ajst-3594	25	12	large	large	ADJ
ajst-3594	25	13	data	data	NOUN
ajst-3594	25	14	transmission	transmission	NOUN
ajst-3594	25	15	traffic	traffic	NOUN
ajst-3594	25	16	is	be	AUX
ajst-3594	25	17	relatively	relatively	ADV
ajst-3594	25	18	poor	poor	ADJ
ajst-3594	25	19	.	.	PUNCT
ajst-3594	26	1	the	the	DET
ajst-3594	26	2	detection	detection	NOUN
ajst-3594	26	3	methods	method	NOUN
ajst-3594	26	4	that	that	PRON
ajst-3594	26	5	directly	directly	ADV
ajst-3594	26	6	take	take	VERB
ajst-3594	26	7	the	the	DET
ajst-3594	26	8	dimensions	dimension	NOUN
ajst-3594	26	9	of	of	ADP
ajst-3594	26	10	network	network	NOUN
ajst-3594	26	11	traffic	traffic	NOUN
ajst-3594	26	12	data	datum	NOUN
ajst-3594	26	13	header	header	NOUN
ajst-3594	26	14	as	as	SCONJ
ajst-3594	26	15	data	datum	NOUN
ajst-3594	26	16	attributes	attribute	NOUN
ajst-3594	26	17	mainly	mainly	ADV
ajst-3594	26	18	include	include	VERB
ajst-3594	26	19	unsupervised	unsupervised	ADJ
ajst-3594	26	20	learning	learning	NOUN
ajst-3594	26	21	,	,	PUNCT
ajst-3594	26	22	supervised	supervise	VERB
ajst-3594	26	23	learning	learning	NOUN
ajst-3594	26	24	and	and	CCONJ
ajst-3594	26	25	semisupervised	semisupervised	ADJ
ajst-3594	26	26	learning	learning	NOUN
ajst-3594	26	27	.	.	PUNCT
ajst-3594	27	1	because	because	SCONJ
ajst-3594	27	2	of	of	ADP
ajst-3594	27	3	the	the	DET
ajst-3594	27	4	huge	huge	ADJ
ajst-3594	27	5	volume	volume	NOUN
ajst-3594	27	6	of	of	ADP
ajst-3594	27	7	network	network	NOUN
ajst-3594	27	8	traffic	traffic	NOUN
ajst-3594	27	9	data	datum	NOUN
ajst-3594	27	10	and	and	CCONJ
ajst-3594	27	11	its	its	PRON
ajst-3594	27	12	real	real	ADJ
ajst-3594	27	13	-	-	PUNCT
ajst-3594	27	14	time	time	NOUN
ajst-3594	27	15	updating	updating	NOUN
ajst-3594	27	16	,	,	PUNCT
ajst-3594	27	17	it	it	PRON
ajst-3594	27	18	is	be	AUX
ajst-3594	27	19	necessary	necessary	ADJ
ajst-3594	27	20	to	to	PART
ajst-3594	27	21	use	use	VERB
ajst-3594	27	22	sliding	slide	VERB
ajst-3594	27	23	window	window	NOUN
ajst-3594	27	24	and	and	CCONJ
ajst-3594	27	25	other	other	ADJ
ajst-3594	27	26	methods	method	NOUN
ajst-3594	27	27	to	to	PART
ajst-3594	27	28	improve	improve	VERB
ajst-3594	27	29	the	the	DET
ajst-3594	27	30	detection	detection	NOUN
ajst-3594	27	31	efficiency	efficiency	NOUN
ajst-3594	27	32	,	,	PUNCT
ajst-3594	27	33	so	so	SCONJ
ajst-3594	27	34	as	as	SCONJ
ajst-3594	27	35	to	to	PART
ajst-3594	27	36	realize	realize	VERB
ajst-3594	27	37	online	online	ADJ
ajst-3594	27	38	detection	detection	NOUN
ajst-3594	27	39	.	.	PUNCT
ajst-3594	28	1	at	at	ADP
ajst-3594	28	2	present	present	ADJ
ajst-3594	28	3	,	,	PUNCT
ajst-3594	28	4	researchers	researcher	NOUN
ajst-3594	28	5	have	have	AUX
ajst-3594	28	6	proposed	propose	VERB
ajst-3594	28	7	a	a	DET
ajst-3594	28	8	large	large	ADJ
ajst-3594	28	9	number	number	NOUN
ajst-3594	28	10	of	of	ADP
ajst-3594	28	11	clustering	clustering	ADJ
ajst-3594	28	12	learning	learn	VERB
ajst-3594	28	13	algorithms	algorithm	NOUN
ajst-3594	28	14	in	in	ADP
ajst-3594	28	15	unsupervised	unsupervised	ADJ
ajst-3594	28	16	learning	learn	VERB
ajst-3594	28	17	environment	environment	NOUN
ajst-3594	29	1	[	[	X
ajst-3594	29	2	6	6	NUM
ajst-3594	29	3	]	]	PUNCT
ajst-3594	29	4	.	.	PUNCT
ajst-3594	30	1	in	in	ADP
ajst-3594	30	2	practical	practical	ADJ
ajst-3594	30	3	applications	application	NOUN
ajst-3594	30	4	,	,	PUNCT
ajst-3594	30	5	the	the	DET
ajst-3594	30	6	choice	choice	NOUN
ajst-3594	30	7	of	of	ADP
ajst-3594	30	8	clustering	clustering	ADJ
ajst-3594	30	9	algorithm	algorithm	NOUN
ajst-3594	30	10	depends	depend	VERB
ajst-3594	30	11	on	on	ADP
ajst-3594	30	12	the	the	DET
ajst-3594	30	13	type	type	NOUN
ajst-3594	30	14	of	of	ADP
ajst-3594	30	15	data	datum	NOUN
ajst-3594	30	16	and	and	CCONJ
ajst-3594	30	17	the	the	DET
ajst-3594	30	18	purpose	purpose	NOUN
ajst-3594	30	19	of	of	ADP
ajst-3594	30	20	clustering	clustering	NOUN
ajst-3594	30	21	.	.	PUNCT
ajst-3594	31	1	at	at	ADP
ajst-3594	31	2	present	present	ADJ
ajst-3594	31	3	,	,	PUNCT
ajst-3594	31	4	python	python	PROPN
ajst-3594	31	5	technology	technology	NOUN
ajst-3594	31	6	has	have	AUX
ajst-3594	31	7	been	be	AUX
ajst-3594	31	8	widely	widely	ADV
ajst-3594	31	9	used	use	VERB
ajst-3594	31	10	in	in	ADP
ajst-3594	31	11	computer	computer	NOUN
ajst-3594	31	12	website	website	NOUN
ajst-3594	31	13	development	development	NOUN
ajst-3594	31	14	,	,	PUNCT
ajst-3594	31	15	artificial	artificial	ADJ
ajst-3594	31	16	intelligence	intelligence	NOUN
ajst-3594	31	17	,	,	PUNCT
ajst-3594	31	18	platform	platform	NOUN
ajst-3594	31	19	backend	backend	NOUN
ajst-3594	31	20	management	management	NOUN
ajst-3594	31	21	and	and	CCONJ
ajst-3594	31	22	other	other	ADJ
ajst-3594	31	23	fields	field	NOUN
ajst-3594	31	24	[	[	PUNCT
ajst-3594	31	25	7	7	NUM
ajst-3594	31	26	-	-	SYM
ajst-3594	31	27	8	8	NUM
ajst-3594	31	28	]	]	PUNCT
ajst-3594	31	29	.	.	PUNCT
ajst-3594	32	1	python	python	PROPN
ajst-3594	32	2	-	-	PUNCT
ajst-3594	32	3	based	base	VERB
ajst-3594	32	4	network	network	NOUN
ajst-3594	32	5	traffic	traffic	NOUN
ajst-3594	32	6	anomaly	anomaly	NOUN
ajst-3594	32	7	detection	detection	NOUN
ajst-3594	32	8	system	system	NOUN
ajst-3594	32	9	mainly	mainly	ADV
ajst-3594	32	10	includes	include	VERB
ajst-3594	32	11	four	four	NUM
ajst-3594	32	12	modules	module	NOUN
ajst-3594	32	13	:	:	PUNCT
ajst-3594	32	14	data	datum	NOUN
ajst-3594	32	15	acquisition	acquisition	NOUN
ajst-3594	32	16	module	module	NOUN
ajst-3594	32	17	,	,	PUNCT
ajst-3594	32	18	information	information	NOUN
ajst-3594	32	19	statistics	statistic	NOUN
ajst-3594	32	20	module	module	NOUN
ajst-3594	32	21	,	,	PUNCT
ajst-3594	32	22	anomaly	anomaly	NOUN
ajst-3594	32	23	detection	detection	NOUN
ajst-3594	32	24	module	module	NOUN
ajst-3594	32	25	and	and	CCONJ
ajst-3594	32	26	anomaly	anomaly	NOUN
ajst-3594	32	27	warning	warning	NOUN
ajst-3594	32	28	information	information	NOUN
ajst-3594	32	29	module	module	NOUN
ajst-3594	32	30	.	.	PUNCT
ajst-3594	33	1	the	the	DET
ajst-3594	33	2	design	design	NOUN
ajst-3594	33	3	structure	structure	NOUN
ajst-3594	33	4	of	of	ADP
ajst-3594	33	5	the	the	DET
ajst-3594	33	6	system	system	NOUN
ajst-3594	33	7	detection	detection	NOUN
ajst-3594	33	8	model	model	NOUN
ajst-3594	33	9	is	be	AUX
ajst-3594	33	10	shown	show	VERB
ajst-3594	33	11	in	in	ADP
ajst-3594	33	12	figure	figure	NOUN
ajst-3594	33	13	1	1	NUM
ajst-3594	33	14	.	.	NOUN
ajst-3594	33	15	122	122	NUM
ajst-3594	33	16	figure	figure	NOUN
ajst-3594	33	17	1	1	NUM
ajst-3594	33	18	.	.	PUNCT
ajst-3594	33	19	design	design	NOUN
ajst-3594	33	20	structure	structure	NOUN
ajst-3594	33	21	of	of	ADP
ajst-3594	33	22	system	system	NOUN
ajst-3594	33	23	detection	detection	NOUN
ajst-3594	33	24	model	model	NOUN
ajst-3594	33	25	through	through	ADP
ajst-3594	33	26	the	the	DET
ajst-3594	33	27	single	single	ADJ
ajst-3594	33	28	-	-	PUNCT
ajst-3594	33	29	stream	stream	NOUN
ajst-3594	33	30	detection	detection	NOUN
ajst-3594	33	31	results	result	NOUN
ajst-3594	33	32	,	,	PUNCT
ajst-3594	33	33	the	the	DET
ajst-3594	33	34	abnormal	abnormal	ADJ
ajst-3594	33	35	events	event	NOUN
ajst-3594	33	36	are	be	AUX
ajst-3594	33	37	forewarned	forewarn	VERB
ajst-3594	33	38	and	and	CCONJ
ajst-3594	33	39	the	the	DET
ajst-3594	33	40	collected	collect	VERB
ajst-3594	33	41	information	information	NOUN
ajst-3594	33	42	is	be	AUX
ajst-3594	33	43	stored	store	VERB
ajst-3594	33	44	in	in	ADP
ajst-3594	33	45	the	the	DET
ajst-3594	33	46	database	database	NOUN
ajst-3594	33	47	.	.	PUNCT
ajst-3594	34	1	then	then	ADV
ajst-3594	34	2	,	,	PUNCT
ajst-3594	34	3	the	the	DET
ajst-3594	34	4	data	data	NOUN
ajst-3594	34	5	is	be	AUX
ajst-3594	34	6	generated	generate	VERB
ajst-3594	34	7	into	into	ADP
ajst-3594	34	8	statistical	statistical	ADJ
ajst-3594	34	9	analysis	analysis	NOUN
ajst-3594	34	10	data	datum	NOUN
ajst-3594	34	11	information	information	NOUN
ajst-3594	34	12	,	,	PUNCT
ajst-3594	34	13	and	and	CCONJ
ajst-3594	34	14	the	the	DET
ajst-3594	34	15	information	information	NOUN
ajst-3594	34	16	concerned	concern	VERB
ajst-3594	34	17	by	by	ADP
ajst-3594	34	18	users	user	NOUN
ajst-3594	34	19	is	be	AUX
ajst-3594	34	20	presented	present	VERB
ajst-3594	34	21	for	for	SCONJ
ajst-3594	34	22	network	network	NOUN
ajst-3594	34	23	managers	manager	NOUN
ajst-3594	34	24	to	to	PART
ajst-3594	34	25	manage	manage	VERB
ajst-3594	34	26	the	the	DET
ajst-3594	34	27	network	network	NOUN
ajst-3594	34	28	security	security	NOUN
ajst-3594	34	29	.	.	PUNCT
ajst-3594	35	1	when	when	SCONJ
ajst-3594	35	2	abnormal	abnormal	ADJ
ajst-3594	35	3	traffic	traffic	NOUN
ajst-3594	35	4	occurs	occur	VERB
ajst-3594	35	5	in	in	ADP
ajst-3594	35	6	the	the	DET
ajst-3594	35	7	network	network	NOUN
ajst-3594	35	8	and	and	CCONJ
ajst-3594	35	9	is	be	AUX
ajst-3594	35	10	detected	detect	VERB
ajst-3594	35	11	by	by	ADP
ajst-3594	35	12	the	the	DET
ajst-3594	35	13	detection	detection	NOUN
ajst-3594	35	14	system	system	NOUN
ajst-3594	35	15	,	,	PUNCT
ajst-3594	35	16	the	the	DET
ajst-3594	35	17	system	system	NOUN
ajst-3594	35	18	will	will	AUX
ajst-3594	35	19	automatically	automatically	ADV
ajst-3594	35	20	enter	enter	VERB
ajst-3594	35	21	the	the	DET
ajst-3594	35	22	network	network	NOUN
ajst-3594	35	23	abnormal	abnormal	ADJ
ajst-3594	35	24	data	datum	NOUN
ajst-3594	35	25	traffic	traffic	NOUN
ajst-3594	35	26	detection	detection	NOUN
ajst-3594	35	27	module	module	NOUN
ajst-3594	35	28	.	.	PUNCT
ajst-3594	36	1	if	if	SCONJ
ajst-3594	36	2	the	the	DET
ajst-3594	36	3	network	network	NOUN
ajst-3594	36	4	anomaly	anomaly	NOUN
ajst-3594	36	5	detection	detection	NOUN
ajst-3594	36	6	system	system	NOUN
ajst-3594	36	7	ca	can	AUX
ajst-3594	36	8	n't	not	PART
ajst-3594	36	9	detect	detect	VERB
ajst-3594	36	10	the	the	DET
ajst-3594	36	11	abnormal	abnormal	ADJ
ajst-3594	36	12	traffic	traffic	NOUN
ajst-3594	36	13	in	in	ADP
ajst-3594	36	14	the	the	DET
ajst-3594	36	15	network	network	NOUN
ajst-3594	36	16	well	well	ADV
ajst-3594	36	17	,	,	PUNCT
ajst-3594	36	18	it	it	PRON
ajst-3594	36	19	is	be	AUX
ajst-3594	36	20	necessary	necessary	ADJ
ajst-3594	36	21	to	to	PART
ajst-3594	36	22	modify	modify	VERB
ajst-3594	36	23	and	and	CCONJ
ajst-3594	36	24	adjust	adjust	VERB
ajst-3594	36	25	the	the	DET
ajst-3594	36	26	relevant	relevant	ADJ
ajst-3594	36	27	similarity	similarity	NOUN
ajst-3594	36	28	threshold	threshold	NOUN
ajst-3594	36	29	,	,	PUNCT
ajst-3594	36	30	so	so	SCONJ
ajst-3594	36	31	that	that	SCONJ
ajst-3594	36	32	the	the	DET
ajst-3594	36	33	system	system	NOUN
ajst-3594	36	34	can	can	AUX
ajst-3594	36	35	detect	detect	VERB
ajst-3594	36	36	the	the	DET
ajst-3594	36	37	abnormal	abnormal	ADJ
ajst-3594	36	38	traffic	traffic	NOUN
ajst-3594	36	39	information	information	NOUN
ajst-3594	36	40	in	in	ADP
ajst-3594	36	41	the	the	DET
ajst-3594	36	42	network	network	NOUN
ajst-3594	36	43	well	well	ADV
ajst-3594	36	44	;	;	PUNCT
ajst-3594	36	45	and	and	CCONJ
ajst-3594	36	46	the	the	DET
ajst-3594	36	47	relevant	relevant	ADJ
ajst-3594	36	48	data	data	NOUN
ajst-3594	36	49	information	information	NOUN
ajst-3594	36	50	is	be	AUX
ajst-3594	36	51	stored	store	VERB
ajst-3594	36	52	in	in	ADP
ajst-3594	36	53	the	the	DET
ajst-3594	36	54	database	database	NOUN
ajst-3594	36	55	of	of	ADP
ajst-3594	36	56	the	the	DET
ajst-3594	36	57	system	system	NOUN
ajst-3594	36	58	,	,	PUNCT
ajst-3594	36	59	which	which	PRON
ajst-3594	36	60	is	be	AUX
ajst-3594	36	61	convenient	convenient	ADJ
ajst-3594	36	62	for	for	ADP
ajst-3594	36	63	early	early	ADJ
ajst-3594	36	64	warning	warning	NOUN
ajst-3594	36	65	of	of	ADP
ajst-3594	36	66	the	the	DET
ajst-3594	36	67	same	same	ADJ
ajst-3594	36	68	network	network	NOUN
ajst-3594	36	69	traffic	traffic	NOUN
ajst-3594	36	70	anomaly	anomaly	NOUN
ajst-3594	36	71	in	in	ADP
ajst-3594	36	72	the	the	DET
ajst-3594	36	73	future	future	NOUN
ajst-3594	36	74	.	.	PUNCT
ajst-3594	37	1	analyze	analyze	VERB
ajst-3594	37	2	the	the	DET
ajst-3594	37	3	feature	feature	NOUN
ajst-3594	37	4	selection	selection	NOUN
ajst-3594	37	5	methods	method	NOUN
ajst-3594	37	6	of	of	ADP
ajst-3594	37	7	network	network	NOUN
ajst-3594	37	8	traffic	traffic	NOUN
ajst-3594	37	9	,	,	PUNCT
ajst-3594	37	10	build	build	VERB
ajst-3594	37	11	a	a	DET
ajst-3594	37	12	basic	basic	ADJ
ajst-3594	37	13	feature	feature	NOUN
ajst-3594	37	14	selector	selector	NOUN
ajst-3594	37	15	,	,	PUNCT
ajst-3594	37	16	and	and	CCONJ
ajst-3594	37	17	get	get	VERB
ajst-3594	37	18	the	the	DET
ajst-3594	37	19	optimal	optimal	ADJ
ajst-3594	37	20	feature	feature	NOUN
ajst-3594	37	21	subset	subset	VERB
ajst-3594	37	22	by	by	ADP
ajst-3594	37	23	fusing	fuse	VERB
ajst-3594	37	24	the	the	DET
ajst-3594	37	25	results	result	NOUN
ajst-3594	37	26	of	of	ADP
ajst-3594	37	27	feature	feature	NOUN
ajst-3594	37	28	selection	selection	NOUN
ajst-3594	37	29	[	[	X
ajst-3594	37	30	9	9	NUM
ajst-3594	37	31	]	]	PUNCT
ajst-3594	37	32	.	.	PUNCT
ajst-3594	38	1	then	then	ADV
ajst-3594	38	2	,	,	PUNCT
ajst-3594	38	3	aiming	aim	VERB
ajst-3594	38	4	at	at	ADP
ajst-3594	38	5	the	the	DET
ajst-3594	38	6	data	data	NOUN
ajst-3594	38	7	imbalance	imbalance	NOUN
ajst-3594	38	8	phenomenon	phenomenon	NOUN
ajst-3594	38	9	in	in	ADP
ajst-3594	38	10	multi	multi	ADJ
ajst-3594	38	11	-	-	ADJ
ajst-3594	38	12	layer	layer	ADJ
ajst-3594	38	13	network	network	NOUN
ajst-3594	38	14	traffic	traffic	NOUN
ajst-3594	38	15	anomaly	anomaly	NOUN
ajst-3594	38	16	detection	detection	NOUN
ajst-3594	38	17	,	,	PUNCT
ajst-3594	38	18	a	a	DET
ajst-3594	38	19	method	method	NOUN
ajst-3594	38	20	of	of	ADP
ajst-3594	38	21	data	datum	NOUN
ajst-3594	38	22	division	division	NOUN
ajst-3594	38	23	and	and	CCONJ
ajst-3594	38	24	data	datum	NOUN
ajst-3594	38	25	resampling	resample	VERB
ajst-3594	38	26	is	be	AUX
ajst-3594	38	27	proposed	propose	VERB
ajst-3594	38	28	.	.	PUNCT
ajst-3594	39	1	the	the	DET
ajst-3594	39	2	idea	idea	NOUN
ajst-3594	39	3	of	of	ADP
ajst-3594	39	4	ensemble	ensemble	ADJ
ajst-3594	39	5	learning	learning	NOUN
ajst-3594	39	6	is	be	AUX
ajst-3594	39	7	introduced	introduce	VERB
ajst-3594	39	8	to	to	PART
ajst-3594	39	9	construct	construct	VERB
ajst-3594	39	10	different	different	ADJ
ajst-3594	39	11	sub	sub	NOUN
ajst-3594	39	12	-	-	NOUN
ajst-3594	39	13	classifiers	classifier	NOUN
ajst-3594	39	14	.	.	PUNCT
ajst-3594	40	1	feature	feature	NOUN
ajst-3594	40	2	selection	selection	NOUN
ajst-3594	40	3	engineering	engineering	NOUN
ajst-3594	40	4	can	can	AUX
ajst-3594	40	5	reduce	reduce	VERB
ajst-3594	40	6	over	over	ADV
ajst-3594	40	7	-	-	PUNCT
ajst-3594	40	8	fitting	fitting	ADJ
ajst-3594	40	9	,	,	PUNCT
ajst-3594	40	10	make	make	VERB
ajst-3594	40	11	the	the	DET
ajst-3594	40	12	generalization	generalization	NOUN
ajst-3594	40	13	ability	ability	NOUN
ajst-3594	40	14	of	of	ADP
ajst-3594	40	15	classification	classification	NOUN
ajst-3594	40	16	model	model	NOUN
ajst-3594	40	17	stronger	strong	ADJ
ajst-3594	40	18	,	,	PUNCT
ajst-3594	40	19	and	and	CCONJ
ajst-3594	40	20	enhance	enhance	VERB
ajst-3594	40	21	the	the	DET
ajst-3594	40	22	understanding	understanding	NOUN
ajst-3594	40	23	between	between	ADP
ajst-3594	40	24	features	feature	NOUN
ajst-3594	40	25	and	and	CCONJ
ajst-3594	40	26	feature	feature	NOUN
ajst-3594	40	27	values	value	NOUN
ajst-3594	40	28	.	.	PUNCT
ajst-3594	41	1	2.2	2.2	NUM
ajst-3594	41	2	.	.	PUNCT
ajst-3594	41	3	python	python	NOUN
ajst-3594	41	4	-	-	PUNCT
ajst-3594	41	5	based	base	VERB
ajst-3594	41	6	network	network	NOUN
ajst-3594	41	7	traffic	traffic	NOUN
ajst-3594	41	8	anomaly	anomaly	NOUN
ajst-3594	41	9	detection	detection	NOUN
ajst-3594	41	10	method	method	NOUN
ajst-3594	41	11	abnormal	abnormal	ADJ
ajst-3594	41	12	traffic	traffic	NOUN
ajst-3594	41	13	is	be	AUX
ajst-3594	41	14	the	the	DET
ajst-3594	41	15	traffic	traffic	NOUN
ajst-3594	41	16	that	that	PRON
ajst-3594	41	17	differs	differ	VERB
ajst-3594	41	18	from	from	ADP
ajst-3594	41	19	the	the	DET
ajst-3594	41	20	normal	normal	ADJ
ajst-3594	41	21	range	range	NOUN
ajst-3594	41	22	of	of	ADP
ajst-3594	41	23	network	network	NOUN
ajst-3594	41	24	services	service	NOUN
ajst-3594	41	25	.	.	PUNCT
ajst-3594	42	1	objective	objective	ADJ
ajst-3594	42	2	social	social	ADJ
ajst-3594	42	3	and	and	CCONJ
ajst-3594	42	4	natural	natural	ADJ
ajst-3594	42	5	phenomena	phenomenon	NOUN
ajst-3594	42	6	,	,	PUNCT
ajst-3594	42	7	network	network	NOUN
ajst-3594	42	8	equipment	equipment	NOUN
ajst-3594	42	9	failures	failure	NOUN
ajst-3594	42	10	on	on	ADP
ajst-3594	42	11	hardware	hardware	NOUN
ajst-3594	42	12	,	,	PUNCT
ajst-3594	42	13	and	and	CCONJ
ajst-3594	42	14	man	man	NOUN
ajst-3594	42	15	-	-	PUNCT
ajst-3594	42	16	made	make	VERB
ajst-3594	42	17	malicious	malicious	ADJ
ajst-3594	42	18	attacks	attack	NOUN
ajst-3594	42	19	can	can	AUX
ajst-3594	42	20	all	all	PRON
ajst-3594	42	21	lead	lead	VERB
ajst-3594	42	22	to	to	ADP
ajst-3594	42	23	abnormal	abnormal	ADJ
ajst-3594	42	24	network	network	NOUN
ajst-3594	42	25	traffic	traffic	NOUN
ajst-3594	42	26	.	.	PUNCT
ajst-3594	43	1	the	the	DET
ajst-3594	43	2	situation	situation	NOUN
ajst-3594	43	3	that	that	PRON
ajst-3594	43	4	leads	lead	VERB
ajst-3594	43	5	to	to	ADP
ajst-3594	43	6	network	network	NOUN
ajst-3594	43	7	abnormality	abnormality	NOUN
ajst-3594	43	8	is	be	AUX
ajst-3594	43	9	not	not	PART
ajst-3594	43	10	only	only	ADV
ajst-3594	43	11	the	the	DET
ajst-3594	43	12	malicious	malicious	ADJ
ajst-3594	43	13	attacks	attack	NOUN
ajst-3594	43	14	of	of	ADP
ajst-3594	43	15	hackers	hacker	NOUN
ajst-3594	43	16	,	,	PUNCT
ajst-3594	43	17	but	but	CCONJ
ajst-3594	43	18	also	also	ADV
ajst-3594	43	19	the	the	DET
ajst-3594	43	20	abnormal	abnormal	ADJ
ajst-3594	43	21	network	network	NOUN
ajst-3594	43	22	operation	operation	NOUN
ajst-3594	43	23	and	and	CCONJ
ajst-3594	43	24	network	network	NOUN
ajst-3594	43	25	configuration	configuration	NOUN
ajst-3594	43	26	errors	error	NOUN
ajst-3594	43	27	of	of	ADP
ajst-3594	43	28	operators	operator	NOUN
ajst-3594	43	29	,	,	PUNCT
ajst-3594	43	30	the	the	DET
ajst-3594	43	31	congestion	congestion	NOUN
ajst-3594	43	32	of	of	ADP
ajst-3594	43	33	hardware	hardware	NOUN
ajst-3594	43	34	flash	flash	NOUN
ajst-3594	43	35	memory	memory	NOUN
ajst-3594	43	36	,	,	PUNCT
ajst-3594	43	37	etc	etc	X
ajst-3594	43	38	.	.	X
ajst-3594	44	1	if	if	SCONJ
ajst-3594	44	2	network	network	NOUN
ajst-3594	44	3	traffic	traffic	NOUN
ajst-3594	44	4	anomaly	anomaly	NOUN
ajst-3594	44	5	detection	detection	NOUN
ajst-3594	44	6	is	be	AUX
ajst-3594	44	7	to	to	PART
ajst-3594	44	8	be	be	AUX
ajst-3594	44	9	carried	carry	VERB
ajst-3594	44	10	out	out	ADP
ajst-3594	44	11	,	,	PUNCT
ajst-3594	44	12	the	the	DET
ajst-3594	44	13	traffic	traffic	NOUN
ajst-3594	44	14	data	datum	NOUN
ajst-3594	44	15	generated	generate	VERB
ajst-3594	44	16	on	on	ADP
ajst-3594	44	17	the	the	DET
ajst-3594	44	18	network	network	NOUN
ajst-3594	44	19	is	be	AUX
ajst-3594	44	20	the	the	DET
ajst-3594	44	21	model	model	NOUN
ajst-3594	44	22	of	of	ADP
ajst-3594	44	23	detection	detection	NOUN
ajst-3594	44	24	.	.	PUNCT
ajst-3594	45	1	in	in	ADP
ajst-3594	45	2	serious	serious	ADJ
ajst-3594	45	3	cases	case	NOUN
ajst-3594	45	4	,	,	PUNCT
ajst-3594	45	5	the	the	DET
ajst-3594	45	6	network	network	NOUN
ajst-3594	45	7	facilities	facility	NOUN
ajst-3594	45	8	will	will	AUX
ajst-3594	45	9	be	be	AUX
ajst-3594	45	10	overwhelmed	overwhelmed	ADJ
ajst-3594	45	11	or	or	CCONJ
ajst-3594	45	12	even	even	ADV
ajst-3594	45	13	close	close	ADJ
ajst-3594	45	14	to	to	ADP
ajst-3594	45	15	partial	partial	ADJ
ajst-3594	45	16	paralysis	paralysis	NOUN
ajst-3594	45	17	,	,	PUNCT
ajst-3594	45	18	and	and	CCONJ
ajst-3594	45	19	the	the	DET
ajst-3594	45	20	network	network	NOUN
ajst-3594	45	21	of	of	ADP
ajst-3594	45	22	operators	operator	NOUN
ajst-3594	45	23	will	will	AUX
ajst-3594	45	24	be	be	AUX
ajst-3594	45	25	extremely	extremely	ADV
ajst-3594	45	26	congested	congested	ADJ
ajst-3594	45	27	and	and	CCONJ
ajst-3594	45	28	the	the	DET
ajst-3594	45	29	loan	loan	NOUN
ajst-3594	45	30	bandwidth	bandwidth	NOUN
ajst-3594	45	31	resources	resource	NOUN
ajst-3594	45	32	will	will	AUX
ajst-3594	45	33	be	be	AUX
ajst-3594	45	34	occupied	occupy	VERB
ajst-3594	45	35	in	in	ADP
ajst-3594	45	36	large	large	ADJ
ajst-3594	45	37	quantities	quantity	NOUN
ajst-3594	45	38	.	.	PUNCT
ajst-3594	46	1	therefore	therefore	ADV
ajst-3594	46	2	,	,	PUNCT
ajst-3594	46	3	now	now	ADV
ajst-3594	46	4	we	we	PRON
ajst-3594	46	5	attach	attach	VERB
ajst-3594	46	6	great	great	ADJ
ajst-3594	46	7	importance	importance	NOUN
ajst-3594	46	8	to	to	ADP
ajst-3594	46	9	the	the	DET
ajst-3594	46	10	detection	detection	NOUN
ajst-3594	46	11	technology	technology	NOUN
ajst-3594	46	12	of	of	ADP
ajst-3594	46	13	abnormal	abnormal	ADJ
ajst-3594	46	14	traffic	traffic	NOUN
ajst-3594	46	15	.	.	PUNCT
ajst-3594	47	1	traffic	traffic	NOUN
ajst-3594	47	2	collection	collection	NOUN
ajst-3594	47	3	refers	refer	VERB
ajst-3594	47	4	to	to	ADP
ajst-3594	47	5	monitoring	monitor	VERB
ajst-3594	47	6	network	network	NOUN
ajst-3594	47	7	traffic	traffic	NOUN
ajst-3594	47	8	data	datum	NOUN
ajst-3594	47	9	,	,	PUNCT
ajst-3594	47	10	collecting	collect	VERB
ajst-3594	47	11	traffic	traffic	NOUN
ajst-3594	47	12	data	datum	NOUN
ajst-3594	47	13	from	from	ADP
ajst-3594	47	14	the	the	DET
ajst-3594	47	15	outside	outside	NOUN
ajst-3594	47	16	of	of	ADP
ajst-3594	47	17	the	the	DET
ajst-3594	47	18	traffic	traffic	NOUN
ajst-3594	47	19	analysis	analysis	NOUN
ajst-3594	47	20	system	system	NOUN
ajst-3594	47	21	,	,	PUNCT
ajst-3594	47	22	and	and	CCONJ
ajst-3594	47	23	inputting	inputte	VERB
ajst-3594	47	24	it	it	PRON
ajst-3594	47	25	into	into	ADP
ajst-3594	47	26	the	the	DET
ajst-3594	47	27	internal	internal	ADJ
ajst-3594	47	28	interface	interface	NOUN
ajst-3594	47	29	of	of	ADP
ajst-3594	47	30	the	the	DET
ajst-3594	47	31	system	system	NOUN
ajst-3594	47	32	to	to	PART
ajst-3594	47	33	obtain	obtain	VERB
ajst-3594	47	34	the	the	DET
ajst-3594	47	35	real	real	ADJ
ajst-3594	47	36	-	-	PUNCT
ajst-3594	47	37	time	time	NOUN
ajst-3594	47	38	status	status	NOUN
ajst-3594	47	39	of	of	ADP
ajst-3594	47	40	the	the	DET
ajst-3594	47	41	network	network	NOUN
ajst-3594	47	42	,	,	PUNCT
ajst-3594	47	43	which	which	PRON
ajst-3594	47	44	is	be	AUX
ajst-3594	47	45	the	the	DET
ajst-3594	47	46	foundation	foundation	NOUN
ajst-3594	47	47	of	of	ADP
ajst-3594	47	48	the	the	DET
ajst-3594	47	49	whole	whole	ADJ
ajst-3594	47	50	network	network	NOUN
ajst-3594	47	51	traffic	traffic	NOUN
ajst-3594	47	52	analysis	analysis	NOUN
ajst-3594	47	53	system	system	NOUN
ajst-3594	47	54	[	[	X
ajst-3594	47	55	10	10	NUM
ajst-3594	47	56	]	]	PUNCT
ajst-3594	47	57	.	.	PUNCT
ajst-3594	48	1	in	in	ADP
ajst-3594	48	2	computer	computer	NOUN
ajst-3594	48	3	networks	network	NOUN
ajst-3594	48	4	,	,	PUNCT
ajst-3594	48	5	abnormal	abnormal	ADJ
ajst-3594	48	6	network	network	NOUN
ajst-3594	48	7	traffic	traffic	NOUN
ajst-3594	48	8	patterns	pattern	NOUN
ajst-3594	48	9	mean	mean	VERB
ajst-3594	48	10	that	that	SCONJ
ajst-3594	48	11	computer	computer	NOUN
ajst-3594	48	12	information	information	NOUN
ajst-3594	48	13	has	have	AUX
ajst-3594	48	14	been	be	AUX
ajst-3594	48	15	leaked	leak	VERB
ajst-3594	48	16	and	and	CCONJ
ajst-3594	48	17	transmitted	transmit	VERB
ajst-3594	48	18	to	to	ADP
ajst-3594	48	19	unauthorized	unauthorized	ADJ
ajst-3594	48	20	terminals.for	terminals.for	ADP
ajst-3594	48	21	example	example	NOUN
ajst-3594	48	22	,	,	PUNCT
ajst-3594	48	23	abnormal	abnormal	ADJ
ajst-3594	48	24	behavior	behavior	NOUN
ajst-3594	48	25	in	in	ADP
ajst-3594	48	26	credit	credit	NOUN
ajst-3594	48	27	card	card	NOUN
ajst-3594	48	28	transactions	transaction	NOUN
ajst-3594	48	29	may	may	AUX
ajst-3594	48	30	indicate	indicate	VERB
ajst-3594	48	31	the	the	DET
ajst-3594	48	32	existence	existence	NOUN
ajst-3594	48	33	of	of	ADP
ajst-3594	48	34	fraudulent	fraudulent	ADJ
ajst-3594	48	35	banks	bank	NOUN
ajst-3594	48	36	.	.	PUNCT
ajst-3594	49	1	in	in	ADP
ajst-3594	49	2	recent	recent	ADJ
ajst-3594	49	3	years	year	NOUN
ajst-3594	49	4	,	,	PUNCT
ajst-3594	49	5	network	network	NOUN
ajst-3594	49	6	attacks	attack	NOUN
ajst-3594	49	7	have	have	AUX
ajst-3594	49	8	become	become	VERB
ajst-3594	49	9	more	more	ADV
ajst-3594	49	10	and	and	CCONJ
ajst-3594	49	11	more	more	ADV
ajst-3594	49	12	rampant	rampant	ADJ
ajst-3594	49	13	.	.	PUNCT
ajst-3594	50	1	according	accord	VERB
ajst-3594	50	2	to	to	ADP
ajst-3594	50	3	mcafee	mcafee	PROPN
ajst-3594	50	4	labs	labs	PROPN
ajst-3594	50	5	threat	threat	NOUN
ajst-3594	50	6	report	report	NOUN
ajst-3594	50	7	,	,	PUNCT
ajst-3594	50	8	the	the	DET
ajst-3594	50	9	types	type	NOUN
ajst-3594	50	10	of	of	ADP
ajst-3594	50	11	attacks	attack	NOUN
ajst-3594	50	12	in	in	ADP
ajst-3594	50	13	the	the	DET
ajst-3594	50	14	past	past	ADJ
ajst-3594	50	15	six	six	NUM
ajst-3594	50	16	months	month	NOUN
ajst-3594	50	17	include	include	VERB
ajst-3594	50	18	malware	malware	NOUN
ajst-3594	50	19	account	account	NOUN
ajst-3594	50	20	hijacking	hijacking	NOUN
ajst-3594	50	21	,	,	PUNCT
ajst-3594	50	22	ddos	ddo	NOUN
ajst-3594	50	23	,	,	PUNCT
ajst-3594	50	24	etc	etc	X
ajst-3594	50	25	.	.	X
ajst-3594	51	1	many	many	ADJ
ajst-3594	51	2	new	new	ADJ
ajst-3594	51	3	types	type	NOUN
ajst-3594	51	4	of	of	ADP
ajst-3594	51	5	attacks	attack	NOUN
ajst-3594	51	6	such	such	ADJ
ajst-3594	51	7	as	as	ADP
ajst-3594	51	8	malicious	malicious	ADJ
ajst-3594	51	9	scripts	script	NOUN
ajst-3594	51	10	,	,	PUNCT
ajst-3594	51	11	commercial	commercial	ADJ
ajst-3594	51	12	emails	email	NOUN
ajst-3594	51	13	,	,	PUNCT
ajst-3594	51	14	misconfiguration	misconfiguration	NOUN
ajst-3594	51	15	,	,	PUNCT
ajst-3594	51	16	etc	etc	X
ajst-3594	51	17	.	.	X
ajst-3594	52	1	in	in	ADP
ajst-3594	52	2	contrast	contrast	NOUN
ajst-3594	52	3	,	,	PUNCT
ajst-3594	52	4	denial	denial	NOUN
ajst-3594	52	5	of	of	ADP
ajst-3594	52	6	service	service	NOUN
ajst-3594	52	7	/	/	SYM
ajst-3594	52	8	distributed	distribute	VERB
ajst-3594	52	9	denial	denial	NOUN
ajst-3594	52	10	of	of	ADP
ajst-3594	52	11	service	service	NOUN
ajst-3594	52	12	attacks	attack	NOUN
ajst-3594	52	13	,	,	PUNCT
ajst-3594	52	14	network	network	NOUN
ajst-3594	52	15	scanning	scanning	NOUN
ajst-3594	52	16	attacks	attack	NOUN
ajst-3594	52	17	,	,	PUNCT
ajst-3594	52	18	worm	worm	NOUN
ajst-3594	52	19	attacks	attack	NOUN
ajst-3594	52	20	,	,	PUNCT
ajst-3594	52	21	and	and	CCONJ
ajst-3594	52	22	non	non	ADJ
ajst-3594	52	23	-	-	ADJ
ajst-3594	52	24	malicious	malicious	ADJ
ajst-3594	52	25	behavior	behavior	NOUN
ajst-3594	52	26	attacks	attack	NOUN
ajst-3594	52	27	,	,	PUNCT
ajst-3594	52	28	etc	etc	X
ajst-3594	52	29	.	.	X
ajst-3594	52	30	,	,	PUNCT
ajst-3594	52	31	have	have	AUX
ajst-3594	52	32	become	become	VERB
ajst-3594	52	33	the	the	DET
ajst-3594	52	34	network	network	NOUN
ajst-3594	52	35	anomalies	anomaly	NOUN
ajst-3594	52	36	that	that	PRON
ajst-3594	52	37	anomaly	anomaly	NOUN
ajst-3594	52	38	detection	detection	NOUN
ajst-3594	52	39	really	really	ADV
ajst-3594	52	40	pays	pay	VERB
ajst-3594	52	41	attention	attention	NOUN
ajst-3594	52	42	to	to	ADP
ajst-3594	52	43	because	because	SCONJ
ajst-3594	52	44	of	of	ADP
ajst-3594	52	45	their	their	PRON
ajst-3594	52	46	strong	strong	ADJ
ajst-3594	52	47	aggressiveness	aggressiveness	NOUN
ajst-3594	52	48	and	and	CCONJ
ajst-3594	52	49	great	great	ADJ
ajst-3594	52	50	damage	damage	NOUN
ajst-3594	52	51	,	,	PUNCT
ajst-3594	52	52	and	and	CCONJ
ajst-3594	52	53	they	they	PRON
ajst-3594	52	54	are	be	AUX
ajst-3594	52	55	also	also	ADV
ajst-3594	52	56	the	the	DET
ajst-3594	52	57	types	type	NOUN
ajst-3594	52	58	of	of	ADP
ajst-3594	52	59	attacks	attack	NOUN
ajst-3594	52	60	that	that	SCONJ
ajst-3594	52	61	this	this	DET
ajst-3594	52	62	paper	paper	NOUN
ajst-3594	52	63	focuses	focus	VERB
ajst-3594	52	64	on	on	ADP
ajst-3594	52	65	.	.	PUNCT
ajst-3594	53	1	this	this	DET
ajst-3594	53	2	section	section	NOUN
ajst-3594	53	3	will	will	AUX
ajst-3594	53	4	focus	focus	VERB
ajst-3594	53	5	on	on	ADP
ajst-3594	53	6	the	the	DET
ajst-3594	53	7	causes	cause	NOUN
ajst-3594	53	8	and	and	CCONJ
ajst-3594	53	9	phenomena	phenomenon	NOUN
ajst-3594	53	10	of	of	ADP
ajst-3594	53	11	these	these	DET
ajst-3594	53	12	attacks	attack	NOUN
ajst-3594	53	13	.	.	PUNCT
ajst-3594	54	1	in	in	ADP
ajst-3594	54	2	order	order	NOUN
ajst-3594	54	3	to	to	PART
ajst-3594	54	4	analyze	analyze	VERB
ajst-3594	54	5	and	and	CCONJ
ajst-3594	54	6	classify	classify	VERB
ajst-3594	54	7	network	network	NOUN
ajst-3594	54	8	traffic	traffic	NOUN
ajst-3594	54	9	more	more	ADV
ajst-3594	54	10	effectively	effectively	ADV
ajst-3594	54	11	and	and	CCONJ
ajst-3594	54	12	accurately	accurately	ADV
ajst-3594	54	13	,	,	PUNCT
ajst-3594	54	14	this	this	DET
ajst-3594	54	15	paper	paper	NOUN
ajst-3594	54	16	proposes	propose	VERB
ajst-3594	54	17	an	an	DET
ajst-3594	54	18	anomaly	anomaly	NOUN
ajst-3594	54	19	detection	detection	NOUN
ajst-3594	54	20	method	method	NOUN
ajst-3594	54	21	of	of	ADP
ajst-3594	54	22	network	network	NOUN
ajst-3594	54	23	traffic	traffic	NOUN
ajst-3594	54	24	based	base	VERB
ajst-3594	54	25	on	on	ADP
ajst-3594	54	26	python	python	PROPN
ajst-3594	54	27	.	.	PUNCT
ajst-3594	55	1	by	by	ADP
ajst-3594	55	2	sampling	sample	VERB
ajst-3594	55	3	the	the	DET
ajst-3594	55	4	data	data	NOUN
ajst-3594	55	5	sets	set	NOUN
ajst-3594	55	6	divided	divide	VERB
ajst-3594	55	7	by	by	ADP
ajst-3594	55	8	each	each	DET
ajst-3594	55	9	layer	layer	NOUN
ajst-3594	55	10	with	with	ADP
ajst-3594	55	11	different	different	ADJ
ajst-3594	55	12	strategies	strategy	NOUN
ajst-3594	55	13	,	,	PUNCT
ajst-3594	55	14	multiple	multiple	ADJ
ajst-3594	55	15	balanced	balanced	ADJ
ajst-3594	55	16	sub	sub	ADJ
ajst-3594	55	17	-	-	ADJ
ajst-3594	55	18	data	data	ADJ
ajst-3594	55	19	sets	set	NOUN
ajst-3594	55	20	are	be	AUX
ajst-3594	55	21	obtained	obtain	VERB
ajst-3594	55	22	,	,	PUNCT
ajst-3594	55	23	and	and	CCONJ
ajst-3594	55	24	the	the	DET
ajst-3594	55	25	feature	feature	NOUN
ajst-3594	55	26	selection	selection	NOUN
ajst-3594	55	27	fusion	fusion	NOUN
ajst-3594	55	28	method	method	NOUN
ajst-3594	55	29	proposed	propose	VERB
ajst-3594	55	30	in	in	ADP
ajst-3594	55	31	the	the	DET
ajst-3594	55	32	previous	previous	ADJ
ajst-3594	55	33	section	section	NOUN
ajst-3594	55	34	is	be	AUX
ajst-3594	55	35	applied	apply	VERB
ajst-3594	55	36	to	to	ADP
ajst-3594	55	37	each	each	DET
ajst-3594	55	38	sub	sub	ADJ
ajst-3594	55	39	-	-	ADJ
ajst-3594	55	40	data	datum	NOUN
ajst-3594	55	41	set	set	NOUN
ajst-3594	55	42	to	to	PART
ajst-3594	55	43	obtain	obtain	VERB
ajst-3594	55	44	the	the	DET
ajst-3594	55	45	corresponding	corresponding	ADJ
ajst-3594	55	46	optimal	optimal	ADJ
ajst-3594	55	47	feature	feature	NOUN
ajst-3594	55	48	subset	subset	NOUN
ajst-3594	55	49	,	,	PUNCT
ajst-3594	55	50	which	which	PRON
ajst-3594	55	51	is	be	AUX
ajst-3594	55	52	used	use	VERB
ajst-3594	55	53	to	to	PART
ajst-3594	55	54	train	train	VERB
ajst-3594	55	55	multiple	multiple	ADJ
ajst-3594	55	56	base	base	NOUN
ajst-3594	55	57	classifiers	classifier	NOUN
ajst-3594	55	58	to	to	PART
ajst-3594	55	59	perform	perform	VERB
ajst-3594	55	60	anomaly	anomaly	NOUN
ajst-3594	55	61	detection	detection	NOUN
ajst-3594	55	62	in	in	ADP
ajst-3594	55	63	this	this	DET
ajst-3594	55	64	layer	layer	NOUN
ajst-3594	55	65	.	.	PUNCT
ajst-3594	56	1	error	error	NOUN
ajst-3594	56	2	correction	correction	NOUN
ajst-3594	56	3	is	be	AUX
ajst-3594	56	4	carried	carry	VERB
ajst-3594	56	5	out	out	ADP
ajst-3594	56	6	in	in	ADP
ajst-3594	56	7	the	the	DET
ajst-3594	56	8	python	python	NOUN
ajst-3594	56	9	statement	statement	NOUN
ajst-3594	56	10	of	of	ADP
ajst-3594	56	11	the	the	DET
ajst-3594	56	12	candidate	candidate	NOUN
ajst-3594	56	13	network	network	NOUN
ajst-3594	56	14	application	application	NOUN
ajst-3594	56	15	layer	layer	NOUN
ajst-3594	56	16	.	.	PUNCT
ajst-3594	57	1	according	accord	VERB
ajst-3594	57	2	to	to	ADP
ajst-3594	57	3	the	the	DET
ajst-3594	57	4	data	data	NOUN
ajst-3594	57	5	classification	classification	NOUN
ajst-3594	57	6	standard	standard	NOUN
ajst-3594	57	7	,	,	PUNCT
ajst-3594	57	8	on	on	ADP
ajst-3594	57	9	the	the	DET
ajst-3594	57	10	basis	basis	NOUN
ajst-3594	57	11	of	of	ADP
ajst-3594	57	12	capturing	capture	VERB
ajst-3594	57	13	sensitive	sensitive	ADJ
ajst-3594	57	14	data	datum	NOUN
ajst-3594	57	15	in	in	ADP
ajst-3594	57	16	the	the	DET
ajst-3594	57	17	whole	whole	ADJ
ajst-3594	57	18	dhcp	dhcp	NOUN
ajst-3594	57	19	protocol	protocol	NOUN
ajst-3594	57	20	,	,	PUNCT
ajst-3594	57	21	the	the	DET
ajst-3594	57	22	correlation	correlation	NOUN
ajst-3594	57	23	between	between	ADP
ajst-3594	57	24	this	this	DET
ajst-3594	57	25	statement	statement	NOUN
ajst-3594	57	26	and	and	CCONJ
ajst-3594	57	27	captured	capture	VERB
ajst-3594	57	28	information	information	NOUN
ajst-3594	57	29	is	be	AUX
ajst-3594	57	30	evaluated	evaluate	VERB
ajst-3594	57	31	[	[	PUNCT
ajst-3594	57	32	11	11	NUM
ajst-3594	57	33	]	]	PUNCT
ajst-3594	57	34	.	.	PUNCT
ajst-3594	58	1			NUM
ajst-3594	58	2	is	be	AUX
ajst-3594	58	3	assumed	assume	VERB
ajst-3594	58	4	to	to	PART
ajst-3594	58	5	be	be	AUX
ajst-3594	58	6	a	a	DET
ajst-3594	58	7	random	random	ADJ
ajst-3594	58	8	variable	variable	NOUN
ajst-3594	58	9	in	in	ADP
ajst-3594	58	10	dhcp	dhcp	PROPN
ajst-3594	58	11	protocol	protocol	NOUN
ajst-3594	58	12	,	,	PUNCT
ajst-3594	58	13	and	and	CCONJ
ajst-3594	58	14	the	the	DET
ajst-3594	58	15	process	process	NOUN
ajst-3594	58	16	of	of	ADP
ajst-3594	58	17	judging	judge	VERB
ajst-3594	58	18	this	this	DET
ajst-3594	58	19	variable	variable	NOUN
ajst-3594	58	20	can	can	AUX
ajst-3594	58	21	be	be	AUX
ajst-3594	58	22	expressed	express	VERB
ajst-3594	58	23	as	as	ADP
ajst-3594	58	24	formula	formula	NOUN
ajst-3594	58	25	123	123	NUM
ajst-3594	58	26	(	(	PUNCT
ajst-3594	58	27	1	1	NUM
ajst-3594	58	28	)	)	PUNCT
ajst-3594	58	29	.	.	PUNCT
ajst-3594	59	1			NOUN
ajst-3594	60	1			PUNCT
ajst-3594	60	2			NOUN
ajst-3594	60	3			SYM
ajst-3594	60	4			NOUN
ajst-3594	60	5			PUNCT
ajst-3594	61	1			NUM
ajst-3594	61	2	z	z	NOUN
ajst-3594	61	3	cc	cc	NOUN
ajst-3594	61	4	osz	osz	NOUN
ajst-3594	61	5	sp	sp	ADP
ajst-3594	61	6	sc	sc	PROPN
ajst-3594	61	7	,	,	PUNCT
ajst-3594	61	8	1	1	NUM
ajst-3594	61	9	0	0	NUM
ajst-3594	61	10	0,0	0,0	NUM
ajst-3594	61	11			NUM
ajst-3594	61	12	(	(	PUNCT
ajst-3594	61	13	1	1	NUM
ajst-3594	61	14	)	)	PUNCT
ajst-3594	61	15	s	s	VERB
ajst-3594	61	16	is	be	AUX
ajst-3594	61	17	a	a	DET
ajst-3594	61	18	random	random	ADJ
ajst-3594	61	19	scene	scene	NOUN
ajst-3594	61	20	model	model	NOUN
ajst-3594	61	21	for	for	ADP
ajst-3594	61	22	dhcp	dhcp	PROPN
ajst-3594	61	23	protocol	protocol	NOUN
ajst-3594	61	24	;	;	PUNCT
ajst-3594	61	25	c	c	PROPN
ajst-3594	61	26	represents	represent	VERB
ajst-3594	61	27	the	the	DET
ajst-3594	61	28	random	random	ADJ
ajst-3594	61	29	probability	probability	NOUN
ajst-3594	61	30	of	of	ADP
ajst-3594	61	31	vulnerability	vulnerability	NOUN
ajst-3594	61	32	exception	exception	NOUN
ajst-3594	61	33	caused	cause	VERB
ajst-3594	61	34	by	by	ADP
ajst-3594	61	35	the	the	DET
ajst-3594	61	36	change	change	NOUN
ajst-3594	61	37	of	of	ADP
ajst-3594	61	38	sensitive	sensitive	ADJ
ajst-3594	61	39	data	datum	NOUN
ajst-3594	61	40	;	;	PUNCT
ajst-3594	61	41	o	o	NOUN
ajst-3594	61	42	is	be	AUX
ajst-3594	61	43	expressed	express	VERB
ajst-3594	61	44	as	as	ADP
ajst-3594	61	45	a	a	DET
ajst-3594	61	46	machine	machine	NOUN
ajst-3594	61	47	learning	learn	VERB
ajst-3594	61	48	algorithm	algorithm	NOUN
ajst-3594	61	49	function	function	NOUN
ajst-3594	61	50	;	;	PUNCT
ajst-3594	61	51	z	z	NOUN
ajst-3594	61	52	is	be	AUX
ajst-3594	61	53	the	the	DET
ajst-3594	61	54	validity	validity	NOUN
ajst-3594	61	55	parameter	parameter	NOUN
ajst-3594	61	56	of	of	ADP
ajst-3594	61	57	identification	identification	NOUN
ajst-3594	61	58	information	information	NOUN
ajst-3594	61	59	;	;	PUNCT
ajst-3594	61	60	p	p	PRON
ajst-3594	61	61	is	be	AUX
ajst-3594	61	62	the	the	DET
ajst-3594	61	63	domain	domain	NOUN
ajst-3594	61	64	name	name	NOUN
ajst-3594	61	65	of	of	ADP
ajst-3594	61	66	sensitive	sensitive	ADJ
ajst-3594	61	67	data	datum	NOUN
ajst-3594	61	68	in	in	ADP
ajst-3594	61	69	the	the	DET
ajst-3594	61	70	network	network	NOUN
ajst-3594	61	71	application	application	NOUN
ajst-3594	61	72	layer	layer	NOUN
ajst-3594	61	73	.	.	PUNCT
ajst-3594	62	1	svm	svm	PROPN
ajst-3594	62	2	(	(	PUNCT
ajst-3594	62	3	support	support	VERB
ajst-3594	62	4	vector	vector	NOUN
ajst-3594	62	5	machines	machine	NOUN
ajst-3594	62	6	)	)	PUNCT
ajst-3594	62	7	is	be	AUX
ajst-3594	62	8	a	a	DET
ajst-3594	62	9	supervised	supervised	ADJ
ajst-3594	62	10	machine	machine	NOUN
ajst-3594	62	11	learning	learn	VERB
ajst-3594	62	12	technology	technology	NOUN
ajst-3594	62	13	,	,	PUNCT
ajst-3594	62	14	which	which	PRON
ajst-3594	62	15	can	can	AUX
ajst-3594	62	16	classify	classify	VERB
ajst-3594	62	17	different	different	ADJ
ajst-3594	62	18	types	type	NOUN
ajst-3594	62	19	of	of	ADP
ajst-3594	62	20	data	datum	NOUN
ajst-3594	62	21	from	from	ADP
ajst-3594	62	22	different	different	ADJ
ajst-3594	62	23	research	research	NOUN
ajst-3594	62	24	fields	field	NOUN
ajst-3594	62	25	through	through	ADP
ajst-3594	62	26	training	training	NOUN
ajst-3594	62	27	.	.	PUNCT
ajst-3594	63	1	compared	compare	VERB
ajst-3594	63	2	with	with	ADP
ajst-3594	63	3	other	other	ADJ
ajst-3594	63	4	algorithms	algorithm	NOUN
ajst-3594	63	5	,	,	PUNCT
ajst-3594	63	6	svm	svm	PROPN
ajst-3594	63	7	has	have	VERB
ajst-3594	63	8	less	less	ADJ
ajst-3594	63	9	chance	chance	NOUN
ajst-3594	63	10	to	to	PART
ajst-3594	63	11	generate	generate	VERB
ajst-3594	63	12	model	model	NOUN
ajst-3594	63	13	over	over	ADP
ajst-3594	63	14	-	-	PUNCT
ajst-3594	63	15	fitting	fit	VERB
ajst-3594	63	16	,	,	PUNCT
ajst-3594	63	17	and	and	CCONJ
ajst-3594	63	18	the	the	DET
ajst-3594	63	19	classification	classification	NOUN
ajst-3594	63	20	result	result	NOUN
ajst-3594	63	21	is	be	AUX
ajst-3594	63	22	more	more	ADV
ajst-3594	63	23	accurate	accurate	ADJ
ajst-3594	63	24	.	.	PUNCT
ajst-3594	64	1	in	in	ADP
ajst-3594	64	2	this	this	DET
ajst-3594	64	3	paper	paper	NOUN
ajst-3594	64	4	,	,	PUNCT
ajst-3594	64	5	the	the	DET
ajst-3594	64	6	radial	radial	ADJ
ajst-3594	64	7	basis	basis	NOUN
ajst-3594	64	8	function	function	NOUN
ajst-3594	64	9	kernel	kernel	NOUN
ajst-3594	64	10	is	be	AUX
ajst-3594	64	11	used	use	VERB
ajst-3594	64	12	to	to	PART
ajst-3594	64	13	construct	construct	VERB
ajst-3594	64	14	the	the	DET
ajst-3594	64	15	svm	svm	PROPN
ajst-3594	64	16	-	-	PUNCT
ajst-3594	64	17	based	base	VERB
ajst-3594	64	18	classifier	classifier	NOUN
ajst-3594	64	19	of	of	ADP
ajst-3594	64	20	the	the	DET
ajst-3594	64	21	proposed	propose	VERB
ajst-3594	64	22	multilayer	multilayer	ADJ
ajst-3594	64	23	network	network	NOUN
ajst-3594	64	24	traffic	traffic	NOUN
ajst-3594	64	25	anomaly	anomaly	NOUN
ajst-3594	64	26	detection	detection	NOUN
ajst-3594	64	27	method	method	NOUN
ajst-3594	64	28	.	.	PUNCT
ajst-3594	65	1	the	the	DET
ajst-3594	65	2	radial	radial	ADJ
ajst-3594	65	3	basis	basis	NOUN
ajst-3594	65	4	function	function	NOUN
ajst-3594	65	5	is	be	AUX
ajst-3594	65	6	shown	show	VERB
ajst-3594	65	7	in	in	ADP
ajst-3594	65	8	formula	formula	NOUN
ajst-3594	65	9	(	(	PUNCT
ajst-3594	65	10	2	2	NUM
ajst-3594	65	11	):	):	PUNCT
ajst-3594	65	12			NOUN
ajst-3594	65	13			PROPN
ajst-3594	65	14	0	0	NUM
ajst-3594	65	15	,	,	PUNCT
ajst-3594	65	16	,	,	PUNCT
ajst-3594	65	17	2	2	NUM
ajst-3594	65	18			PROPN
ajst-3594	65	19			PROPN
ajst-3594	65	20			ADP
ajst-3594	65	21	ji	ji	NOUN
ajst-3594	65	22	xx	xx	NUM
ajst-3594	65	23	ji	ji	PROPN
ajst-3594	65	24	exxk	exxk	NOUN
ajst-3594	65	25	(	(	PUNCT
ajst-3594	65	26	2	2	X
ajst-3594	65	27	)	)	PUNCT
ajst-3594	65	28	the	the	DET
ajst-3594	65	29	kernel	kernel	PROPN
ajst-3594	65	30	function	function	PROPN
ajst-3594	65	31	calculates	calculate	VERB
ajst-3594	65	32	the	the	DET
ajst-3594	65	33	euclidean	euclidean	ADJ
ajst-3594	65	34	distance	distance	NOUN
ajst-3594	65	35	between	between	ADP
ajst-3594	65	36	two	two	NUM
ajst-3594	65	37	numerical	numerical	ADJ
ajst-3594	65	38	vectors	vector	NOUN
ajst-3594	65	39	,	,	PUNCT
ajst-3594	65	40	and	and	CCONJ
ajst-3594	65	41	maps	map	VERB
ajst-3594	65	42	the	the	DET
ajst-3594	65	43	input	input	NOUN
ajst-3594	65	44	data	datum	NOUN
ajst-3594	65	45	into	into	ADP
ajst-3594	65	46	a	a	DET
ajst-3594	65	47	high	high	ADJ
ajst-3594	65	48	-	-	PUNCT
ajst-3594	65	49	dimensional	dimensional	ADJ
ajst-3594	65	50	space	space	NOUN
ajst-3594	65	51	,	,	PUNCT
ajst-3594	65	52	so	so	SCONJ
ajst-3594	65	53	as	as	SCONJ
ajst-3594	65	54	to	to	PART
ajst-3594	65	55	best	well	ADV
ajst-3594	65	56	classify	classify	VERB
ajst-3594	65	57	the	the	DET
ajst-3594	65	58	given	give	VERB
ajst-3594	65	59	data	datum	NOUN
ajst-3594	65	60	into	into	ADP
ajst-3594	65	61	their	their	PRON
ajst-3594	65	62	respective	respective	ADJ
ajst-3594	65	63	network	network	NOUN
ajst-3594	65	64	traffic	traffic	NOUN
ajst-3594	65	65	categories	category	NOUN
ajst-3594	65	66	.	.	PUNCT
ajst-3594	66	1	radial	radial	ADJ
ajst-3594	66	2	basis	basis	NOUN
ajst-3594	66	3	is	be	AUX
ajst-3594	66	4	especially	especially	ADV
ajst-3594	66	5	effective	effective	ADJ
ajst-3594	66	6	when	when	SCONJ
ajst-3594	66	7	separating	separate	VERB
ajst-3594	66	8	data	datum	NOUN
ajst-3594	66	9	sets	set	NOUN
ajst-3594	66	10	sharing	share	VERB
ajst-3594	66	11	complex	complex	ADJ
ajst-3594	66	12	boundaries	boundary	NOUN
ajst-3594	66	13	.	.	PUNCT
ajst-3594	67	1	for	for	ADP
ajst-3594	67	2	a	a	DET
ajst-3594	67	3	class	class	NOUN
ajst-3594	67	4	k	k	PROPN
ajst-3594	67	5	problem	problem	NOUN
ajst-3594	67	6	,	,	PUNCT
ajst-3594	67	7	the	the	DET
ajst-3594	67	8	number	number	NOUN
ajst-3594	67	9	of	of	ADP
ajst-3594	67	10	all	all	DET
ajst-3594	67	11	possible	possible	ADJ
ajst-3594	67	12	structures	structure	NOUN
ajst-3594	67	13	is	be	AUX
ajst-3594	67	14	kn	kn	PROPN
ajst-3594	67	15	,	,	PUNCT
ajst-3594	67	16	and	and	CCONJ
ajst-3594	67	17	the	the	DET
ajst-3594	67	18	specific	specific	ADJ
ajst-3594	67	19	calculation	calculation	NOUN
ajst-3594	67	20	formula	formula	NOUN
ajst-3594	67	21	is	be	AUX
ajst-3594	67	22	shown	show	VERB
ajst-3594	67	23	in	in	ADP
ajst-3594	67	24	formula	formula	NOUN
ajst-3594	67	25	(	(	PUNCT
ajst-3594	67	26	3	3	NUM
ajst-3594	67	27	)	)	PUNCT
ajst-3594	67	28	.	.	PUNCT
ajst-3594	68	1			VERB
ajst-3594	68	2			VERB
ajst-3594	68	3			NUM
ajst-3594	68	4			NOUN
ajst-3594	68	5	1	1	NUM
ajst-3594	68	6	1	1	NUM
ajst-3594	68	7	12	12	NUM
ajst-3594	69	1	k	k	NOUN
ajst-3594	70	1	i	i	PRON
ajst-3594	70	2	k	k	PROPN
ajst-3594	70	3	in	in	ADP
ajst-3594	70	4	(	(	PUNCT
ajst-3594	70	5	3	3	X
ajst-3594	70	6	)	)	PUNCT
ajst-3594	70	7	the	the	DET
ajst-3594	70	8	difference	difference	NOUN
ajst-3594	70	9	of	of	ADP
ajst-3594	70	10	construction	construction	NOUN
ajst-3594	70	11	methods	method	NOUN
ajst-3594	70	12	lies	lie	VERB
ajst-3594	70	13	in	in	ADP
ajst-3594	70	14	the	the	DET
ajst-3594	70	15	uncertainty	uncertainty	NOUN
ajst-3594	70	16	of	of	ADP
ajst-3594	70	17	classification	classification	NOUN
ajst-3594	70	18	order	order	NOUN
ajst-3594	70	19	,	,	PUNCT
ajst-3594	70	20	and	and	CCONJ
ajst-3594	70	21	the	the	DET
ajst-3594	70	22	problem	problem	NOUN
ajst-3594	70	23	of	of	ADP
ajst-3594	70	24	uncertainty	uncertainty	NOUN
ajst-3594	70	25	of	of	ADP
ajst-3594	70	26	classification	classification	NOUN
ajst-3594	70	27	order	order	NOUN
ajst-3594	70	28	lies	lie	VERB
ajst-3594	70	29	in	in	ADP
ajst-3594	70	30	the	the	DET
ajst-3594	70	31	lack	lack	NOUN
ajst-3594	70	32	of	of	ADP
ajst-3594	70	33	appropriate	appropriate	ADJ
ajst-3594	70	34	strategies	strategy	NOUN
ajst-3594	70	35	to	to	PART
ajst-3594	70	36	determine	determine	VERB
ajst-3594	70	37	the	the	DET
ajst-3594	70	38	classified	classified	ADJ
ajst-3594	70	39	categories	category	NOUN
ajst-3594	70	40	of	of	ADP
ajst-3594	70	41	each	each	DET
ajst-3594	70	42	layer	layer	NOUN
ajst-3594	70	43	,	,	PUNCT
ajst-3594	70	44	which	which	PRON
ajst-3594	70	45	leads	lead	VERB
ajst-3594	70	46	to	to	ADP
ajst-3594	70	47	the	the	DET
ajst-3594	70	48	lack	lack	NOUN
ajst-3594	70	49	of	of	ADP
ajst-3594	70	50	optimal	optimal	ADJ
ajst-3594	70	51	classification	classification	NOUN
ajst-3594	70	52	order	order	NOUN
ajst-3594	70	53	.	.	PUNCT
ajst-3594	71	1	before	before	ADP
ajst-3594	71	2	the	the	DET
ajst-3594	71	3	abnormal	abnormal	ADJ
ajst-3594	71	4	detection	detection	NOUN
ajst-3594	71	5	of	of	ADP
ajst-3594	71	6	network	network	NOUN
ajst-3594	71	7	data	datum	NOUN
ajst-3594	71	8	flow	flow	NOUN
ajst-3594	71	9	,	,	PUNCT
ajst-3594	71	10	network	network	NOUN
ajst-3594	71	11	data	datum	NOUN
ajst-3594	71	12	is	be	AUX
ajst-3594	71	13	collected	collect	VERB
ajst-3594	71	14	for	for	ADP
ajst-3594	71	15	a	a	DET
ajst-3594	71	16	period	period	NOUN
ajst-3594	71	17	of	of	ADP
ajst-3594	71	18	time	time	NOUN
ajst-3594	71	19	and	and	CCONJ
ajst-3594	71	20	preprocessed	preprocesse	VERB
ajst-3594	71	21	,	,	PUNCT
ajst-3594	71	22	and	and	CCONJ
ajst-3594	71	23	a	a	DET
ajst-3594	71	24	characteristic	characteristic	ADJ
ajst-3594	71	25	attribute	attribute	NOUN
ajst-3594	71	26	value	value	NOUN
ajst-3594	71	27	of	of	ADP
ajst-3594	71	28	the	the	DET
ajst-3594	71	29	current	current	ADJ
ajst-3594	71	30	network	network	NOUN
ajst-3594	71	31	is	be	AUX
ajst-3594	71	32	obtained	obtain	VERB
ajst-3594	71	33	by	by	ADP
ajst-3594	71	34	analysis	analysis	NOUN
ajst-3594	71	35	.	.	PUNCT
ajst-3594	72	1	in	in	ADP
ajst-3594	72	2	this	this	DET
ajst-3594	72	3	paper	paper	NOUN
ajst-3594	72	4	,	,	PUNCT
ajst-3594	72	5	the	the	DET
ajst-3594	72	6	linear	linear	ADJ
ajst-3594	72	7	transformation	transformation	NOUN
ajst-3594	72	8	of	of	ADP
ajst-3594	72	9	data	datum	NOUN
ajst-3594	72	10	is	be	AUX
ajst-3594	72	11	carried	carry	VERB
ajst-3594	72	12	out	out	ADP
ajst-3594	72	13	by	by	ADP
ajst-3594	72	14	using	use	VERB
ajst-3594	72	15	the	the	DET
ajst-3594	72	16	minimum	minimum	ADJ
ajst-3594	72	17	-	-	PUNCT
ajst-3594	72	18	maximum	maximum	NOUN
ajst-3594	72	19	normalization	normalization	NOUN
ajst-3594	72	20	pair	pair	NOUN
ajst-3594	72	21	,	,	PUNCT
ajst-3594	72	22	and	and	CCONJ
ajst-3594	72	23	the	the	DET
ajst-3594	72	24	original	original	ADJ
ajst-3594	72	25	data	datum	NOUN
ajst-3594	72	26	is	be	AUX
ajst-3594	72	27	converted	convert	VERB
ajst-3594	72	28	into	into	ADP
ajst-3594	72	29	a	a	DET
ajst-3594	72	30	unified	unified	ADJ
ajst-3594	72	31	[	[	X
ajst-3594	72	32	0,1	0,1	NUM
ajst-3594	72	33	]	]	PUNCT
ajst-3594	72	34	range	range	NOUN
ajst-3594	72	35	.	.	PUNCT
ajst-3594	73	1			NOUN
ajst-3594	73	2			PROPN
ajst-3594	73	3	aaa	aaa	NOUN
ajst-3594	73	4	aa	aa	NOUN
ajst-3594	74	1	a	a	DET
ajst-3594	74	2	newnewnew	newnewnew	ADJ
ajst-3594	74	3	x	x	X
ajst-3594	74	4	x	x	SYM
ajst-3594	74	5	min_min_max	min_min_max	X
ajst-3594	74	6	_	_	X
ajst-3594	74	7	minmax	minmax	X
ajst-3594	74	8	min	min	PROPN
ajst-3594	74	9			PROPN
ajst-3594	74	10			PROPN
ajst-3594	74	11			PROPN
ajst-3594	74	12			PUNCT
ajst-3594	75	1	(	(	PUNCT
ajst-3594	75	2	4	4	X
ajst-3594	75	3	)	)	PUNCT
ajst-3594	75	4	map	map	VERB
ajst-3594	75	5	the	the	DET
ajst-3594	75	6	value	value	NOUN
ajst-3594	75	7	x	x	X
ajst-3594	75	8	of	of	ADP
ajst-3594	75	9	a	a	PRON
ajst-3594	75	10	to	to	ADP
ajst-3594	75	11	x	x	NOUN
ajst-3594	75	12	in	in	ADP
ajst-3594	75	13	the	the	DET
ajst-3594	75	14	interval	interval	NOUN
ajst-3594	75	15			PROPN
ajst-3594	75	16	aa	aa	PROPN
ajst-3594	75	17	newnew	newnew	ADJ
ajst-3594	75	18	max_,min	max_,min	NOUN
ajst-3594	75	19	_	_	PROPN
ajst-3594	75	20	.	.	PUNCT
ajst-3594	76	1	where	where	SCONJ
ajst-3594	76	2	minx	minx	NOUN
ajst-3594	76	3	is	be	AUX
ajst-3594	76	4	the	the	DET
ajst-3594	76	5	minimum	minimum	ADJ
ajst-3594	76	6	value	value	NOUN
ajst-3594	76	7	of	of	ADP
ajst-3594	76	8	this	this	DET
ajst-3594	76	9	attribute	attribute	NOUN
ajst-3594	76	10	value	value	NOUN
ajst-3594	76	11	and	and	CCONJ
ajst-3594	76	12	maxx	maxx	PROPN
ajst-3594	76	13	is	be	AUX
ajst-3594	76	14	the	the	DET
ajst-3594	76	15	maximum	maximum	ADJ
ajst-3594	76	16	value	value	NOUN
ajst-3594	76	17	of	of	ADP
ajst-3594	76	18	this	this	DET
ajst-3594	76	19	attribute	attribute	NOUN
ajst-3594	76	20	value	value	NOUN
ajst-3594	76	21	;	;	PUNCT
ajst-3594	76	22	if	if	SCONJ
ajst-3594	76	23	maxmin	maxmin	NOUN
ajst-3594	77	1	xx	xx	NUM
ajst-3594	78	1			PROPN
ajst-3594	78	2	,	,	PUNCT
ajst-3594	78	3	then	then	ADV
ajst-3594	78	4	1x	1x	NUM
ajst-3594	78	5	.	.	PUNCT
ajst-3594	79	1	3	3	X
ajst-3594	79	2	.	.	X
ajst-3594	79	3	experimental	experimental	ADJ
ajst-3594	79	4	analysis	analysis	NOUN
ajst-3594	79	5	the	the	DET
ajst-3594	79	6	experimental	experimental	ADJ
ajst-3594	79	7	environment	environment	NOUN
ajst-3594	79	8	for	for	ADP
ajst-3594	79	9	programming	programming	NOUN
ajst-3594	79	10	and	and	CCONJ
ajst-3594	79	11	data	datum	NOUN
ajst-3594	79	12	set	set	VERB
ajst-3594	79	13	verification	verification	NOUN
ajst-3594	79	14	of	of	ADP
ajst-3594	79	15	the	the	DET
ajst-3594	79	16	algorithm	algorithm	NOUN
ajst-3594	79	17	is	be	AUX
ajst-3594	79	18	mainly	mainly	ADV
ajst-3594	79	19	windows	window	NOUN
ajst-3594	79	20	operating	operating	NOUN
ajst-3594	79	21	system	system	NOUN
ajst-3594	79	22	,	,	PUNCT
ajst-3594	79	23	and	and	CCONJ
ajst-3594	79	24	the	the	DET
ajst-3594	79	25	algorithm	algorithm	NOUN
ajst-3594	79	26	is	be	AUX
ajst-3594	79	27	mainly	mainly	ADV
ajst-3594	79	28	realized	realize	VERB
ajst-3594	79	29	by	by	ADP
ajst-3594	79	30	python	python	PROPN
ajst-3594	79	31	code	code	NOUN
ajst-3594	79	32	,	,	PUNCT
ajst-3594	79	33	and	and	CCONJ
ajst-3594	79	34	pycharm	pycharm	VERB
ajst-3594	79	35	integrated	integrate	VERB
ajst-3594	79	36	development	development	NOUN
ajst-3594	79	37	environment	environment	NOUN
ajst-3594	79	38	is	be	AUX
ajst-3594	79	39	used	use	VERB
ajst-3594	79	40	.	.	PUNCT
ajst-3594	80	1	the	the	DET
ajst-3594	80	2	computer	computer	NOUN
ajst-3594	80	3	system	system	NOUN
ajst-3594	80	4	of	of	ADP
ajst-3594	80	5	is	be	AUX
ajst-3594	80	6	configured	configure	VERB
ajst-3594	80	7	as	as	ADP
ajst-3594	80	8	inter	inter	PROPN
ajst-3594	80	9	core	core	PROPN
ajst-3594	80	10	i5	i5	PROPN
ajst-3594	80	11	processor	processor	NOUN
ajst-3594	80	12	,	,	PUNCT
ajst-3594	80	13	4	4	NUM
ajst-3594	80	14	g	g	NOUN
ajst-3594	80	15	memory	memory	NOUN
ajst-3594	80	16	,	,	PUNCT
ajst-3594	80	17	specifically	specifically	ADV
ajst-3594	80	18	64	64	NUM
ajst-3594	80	19	-	-	PUNCT
ajst-3594	80	20	bit	bit	NOUN
ajst-3594	80	21	windows	window	NOUN
ajst-3594	80	22	10	10	NUM
ajst-3594	80	23	educational	educational	ADJ
ajst-3594	80	24	operating	operating	NOUN
ajst-3594	80	25	system	system	NOUN
ajst-3594	80	26	.	.	PUNCT
ajst-3594	81	1	through	through	ADP
ajst-3594	81	2	the	the	DET
ajst-3594	81	3	design	design	NOUN
ajst-3594	81	4	and	and	CCONJ
ajst-3594	81	5	implementation	implementation	NOUN
ajst-3594	81	6	of	of	ADP
ajst-3594	81	7	each	each	DET
ajst-3594	81	8	module	module	NOUN
ajst-3594	81	9	,	,	PUNCT
ajst-3594	81	10	we	we	PRON
ajst-3594	81	11	have	have	AUX
ajst-3594	81	12	built	build	VERB
ajst-3594	81	13	an	an	DET
ajst-3594	81	14	experimental	experimental	ADJ
ajst-3594	81	15	environment	environment	NOUN
ajst-3594	81	16	that	that	PRON
ajst-3594	81	17	can	can	AUX
ajst-3594	81	18	be	be	AUX
ajst-3594	81	19	used	use	VERB
ajst-3594	81	20	to	to	PART
ajst-3594	81	21	verify	verify	VERB
ajst-3594	81	22	the	the	DET
ajst-3594	81	23	effectiveness	effectiveness	NOUN
ajst-3594	81	24	of	of	ADP
ajst-3594	81	25	the	the	DET
ajst-3594	81	26	prototype	prototype	NOUN
ajst-3594	81	27	system	system	NOUN
ajst-3594	81	28	.	.	PUNCT
ajst-3594	82	1	the	the	DET
ajst-3594	82	2	experiment	experiment	NOUN
ajst-3594	82	3	environment	environment	NOUN
ajst-3594	82	4	is	be	AUX
ajst-3594	82	5	tested	test	VERB
ajst-3594	82	6	in	in	ADP
ajst-3594	82	7	the	the	DET
ajst-3594	82	8	laboratory	laboratory	NOUN
ajst-3594	82	9	room	room	NOUN
ajst-3594	82	10	of	of	ADP
ajst-3594	82	11	the	the	DET
ajst-3594	82	12	laboratory	laboratory	NOUN
ajst-3594	82	13	building	building	NOUN
ajst-3594	82	14	of	of	ADP
ajst-3594	82	15	the	the	DET
ajst-3594	82	16	school	school	NOUN
ajst-3594	82	17	computer	computer	NOUN
ajst-3594	82	18	center	center	NOUN
ajst-3594	82	19	.	.	PUNCT
ajst-3594	83	1	now	now	ADV
ajst-3594	83	2	,	,	PUNCT
ajst-3594	83	3	test	test	VERB
ajst-3594	83	4	the	the	DET
ajst-3594	83	5	data	datum	NOUN
ajst-3594	83	6	of	of	ADP
ajst-3594	83	7	network	network	NOUN
ajst-3594	83	8	characteristics	characteristic	NOUN
ajst-3594	83	9	and	and	CCONJ
ajst-3594	83	10	attributes	attribute	NOUN
ajst-3594	83	11	in	in	ADP
ajst-3594	83	12	the	the	DET
ajst-3594	83	13	normal	normal	ADJ
ajst-3594	83	14	state	state	NOUN
ajst-3594	83	15	of	of	ADP
ajst-3594	83	16	the	the	DET
ajst-3594	83	17	network	network	NOUN
ajst-3594	83	18	and	and	CCONJ
ajst-3594	83	19	when	when	SCONJ
ajst-3594	83	20	dos	do	NOUN
ajst-3594	83	21	attacks	attack	NOUN
ajst-3594	83	22	are	be	AUX
ajst-3594	83	23	in	in	ADP
ajst-3594	83	24	progress	progress	NOUN
ajst-3594	83	25	.	.	PUNCT
ajst-3594	84	1	generally	generally	ADV
ajst-3594	84	2	,	,	PUNCT
ajst-3594	84	3	we	we	PRON
ajst-3594	84	4	choose	choose	VERB
ajst-3594	84	5	the	the	DET
ajst-3594	84	6	time	time	NOUN
ajst-3594	84	7	period	period	NOUN
ajst-3594	84	8	from	from	ADP
ajst-3594	84	9	9	9	NUM
ajst-3594	84	10	:	:	SYM
ajst-3594	84	11	00	00	NUM
ajst-3594	84	12	to	to	PART
ajst-3594	84	13	10	10	NUM
ajst-3594	84	14	:	:	SYM
ajst-3594	84	15	00	00	NUM
ajst-3594	84	16	a.m.	a.m.	NOUN
ajst-3594	84	17	to	to	PART
ajst-3594	84	18	observe	observe	VERB
ajst-3594	84	19	the	the	DET
ajst-3594	84	20	historical	historical	ADJ
ajst-3594	84	21	traffic	traffic	NOUN
ajst-3594	84	22	during	during	ADP
ajst-3594	84	23	this	this	DET
ajst-3594	84	24	time	time	NOUN
ajst-3594	84	25	period	period	NOUN
ajst-3594	84	26	.	.	PUNCT
ajst-3594	85	1	as	as	SCONJ
ajst-3594	85	2	shown	show	VERB
ajst-3594	85	3	in	in	ADP
ajst-3594	85	4	figure	figure	NOUN
ajst-3594	85	5	2	2	NUM
ajst-3594	85	6	.	.	PUNCT
ajst-3594	85	7	figure	figure	NOUN
ajst-3594	85	8	2	2	NUM
ajst-3594	85	9	.	.	PUNCT
ajst-3594	85	10	historical	historical	ADJ
ajst-3594	85	11	flow	flow	NOUN
ajst-3594	85	12	curve	curve	NOUN
ajst-3594	85	13	from	from	ADP
ajst-3594	85	14	the	the	DET
ajst-3594	85	15	above	above	ADJ
ajst-3594	85	16	figure	figure	NOUN
ajst-3594	85	17	,	,	PUNCT
ajst-3594	85	18	we	we	PRON
ajst-3594	85	19	can	can	AUX
ajst-3594	85	20	clearly	clearly	ADV
ajst-3594	85	21	see	see	VERB
ajst-3594	85	22	that	that	SCONJ
ajst-3594	85	23	the	the	DET
ajst-3594	85	24	traffic	traffic	NOUN
ajst-3594	85	25	curves	curve	NOUN
ajst-3594	85	26	of	of	ADP
ajst-3594	85	27	the	the	DET
ajst-3594	85	28	three	three	NUM
ajst-3594	85	29	subnets	subnet	NOUN
ajst-3594	85	30	are	be	AUX
ajst-3594	85	31	relatively	relatively	ADV
ajst-3594	85	32	smooth	smooth	ADJ
ajst-3594	85	33	,	,	PUNCT
ajst-3594	85	34	with	with	ADP
ajst-3594	85	35	few	few	ADJ
ajst-3594	85	36	peaks	peak	NOUN
ajst-3594	85	37	,	,	PUNCT
ajst-3594	85	38	during	during	ADP
ajst-3594	85	39	the	the	DET
ajst-3594	85	40	period	period	NOUN
ajst-3594	85	41	from	from	ADP
ajst-3594	85	42	9	9	NUM
ajst-3594	85	43	:	:	SYM
ajst-3594	85	44	00	00	NUM
ajst-3594	85	45	to	to	PART
ajst-3594	85	46	10	10	NUM
ajst-3594	85	47	:	:	SYM
ajst-3594	85	48	00	00	NUM
ajst-3594	86	1	in	in	ADP
ajst-3594	86	2	the	the	DET
ajst-3594	86	3	morning	morning	NOUN
ajst-3594	86	4	.	.	PUNCT
ajst-3594	87	1	it	it	PRON
ajst-3594	87	2	shows	show	VERB
ajst-3594	87	3	that	that	SCONJ
ajst-3594	87	4	the	the	DET
ajst-3594	87	5	network	network	NOUN
ajst-3594	87	6	traffic	traffic	NOUN
ajst-3594	87	7	is	be	AUX
ajst-3594	87	8	stable	stable	ADJ
ajst-3594	87	9	from	from	ADP
ajst-3594	87	10	9	9	NUM
ajst-3594	87	11	:	:	SYM
ajst-3594	87	12	00	00	NUM
ajst-3594	87	13	to	to	PART
ajst-3594	87	14	10	10	NUM
ajst-3594	87	15	:	:	PUNCT
ajst-3594	87	16	00	00	NUM
ajst-3594	87	17	.	.	PUNCT
ajst-3594	88	1	then	then	ADV
ajst-3594	88	2	the	the	DET
ajst-3594	88	3	dos	dos	NOUN
ajst-3594	88	4	attack	attack	NOUN
ajst-3594	88	5	is	be	AUX
ajst-3594	88	6	tested	test	VERB
ajst-3594	88	7	,	,	PUNCT
ajst-3594	88	8	and	and	CCONJ
ajst-3594	88	9	the	the	DET
ajst-3594	88	10	similarity	similarity	NOUN
ajst-3594	88	11	calculated	calculate	VERB
ajst-3594	88	12	here	here	ADV
ajst-3594	88	13	is	be	AUX
ajst-3594	88	14	improved	improve	VERB
ajst-3594	88	15	by	by	ADP
ajst-3594	88	16	unified	unified	ADJ
ajst-3594	88	17	dimension	dimension	NOUN
ajst-3594	88	18	.	.	PUNCT
ajst-3594	89	1	from	from	ADP
ajst-3594	89	2	the	the	DET
ajst-3594	89	3	similarity	similarity	NOUN
ajst-3594	89	4	curve	curve	NOUN
ajst-3594	89	5	,	,	PUNCT
ajst-3594	89	6	we	we	PRON
ajst-3594	89	7	found	find	VERB
ajst-3594	89	8	that	that	SCONJ
ajst-3594	89	9	from	from	ADP
ajst-3594	89	10	9	9	NUM
ajst-3594	89	11	:	:	SYM
ajst-3594	89	12	10	10	NUM
ajst-3594	89	13	to	to	PART
ajst-3594	89	14	9	9	NUM
ajst-3594	89	15	:	:	SYM
ajst-3594	89	16	50	50	NUM
ajst-3594	89	17	,	,	PUNCT
ajst-3594	89	18	the	the	DET
ajst-3594	89	19	similarity	similarity	NOUN
ajst-3594	89	20	curve	curve	NOUN
ajst-3594	89	21	is	be	AUX
ajst-3594	89	22	relatively	relatively	ADV
ajst-3594	89	23	stable	stable	ADJ
ajst-3594	89	24	in	in	ADP
ajst-3594	89	25	this	this	DET
ajst-3594	89	26	interval	interval	NOUN
ajst-3594	89	27	,	,	PUNCT
ajst-3594	89	28	and	and	CCONJ
ajst-3594	89	29	the	the	DET
ajst-3594	89	30	value	value	NOUN
ajst-3594	89	31	is	be	AUX
ajst-3594	89	32	relatively	relatively	ADV
ajst-3594	89	33	small	small	ADJ
ajst-3594	89	34	compared	compare	VERB
ajst-3594	89	35	with	with	ADP
ajst-3594	89	36	the	the	DET
ajst-3594	89	37	standard	standard	ADJ
ajst-3594	89	38	threshold	threshold	NOUN
ajst-3594	89	39	.	.	PUNCT
ajst-3594	90	1	after	after	ADP
ajst-3594	90	2	9	9	NUM
ajst-3594	90	3	:	:	SYM
ajst-3594	90	4	55	55	NUM
ajst-3594	90	5	,	,	PUNCT
ajst-3594	90	6	the	the	DET
ajst-3594	90	7	similarity	similarity	NOUN
ajst-3594	90	8	began	begin	VERB
ajst-3594	90	9	to	to	PART
ajst-3594	90	10	be	be	AUX
ajst-3594	90	11	higher	high	ADJ
ajst-3594	90	12	than	than	ADP
ajst-3594	90	13	the	the	DET
ajst-3594	90	14	standard	standard	ADJ
ajst-3594	90	15	threshold	threshold	NOUN
ajst-3594	90	16	.	.	PUNCT
ajst-3594	91	1	from	from	ADP
ajst-3594	91	2	this	this	DET
ajst-3594	91	3	point	point	NOUN
ajst-3594	91	4	,	,	PUNCT
ajst-3594	91	5	we	we	PRON
ajst-3594	91	6	can	can	AUX
ajst-3594	91	7	see	see	VERB
ajst-3594	91	8	that	that	SCONJ
ajst-3594	91	9	the	the	DET
ajst-3594	91	10	attack	attack	NOUN
ajst-3594	91	11	has	have	AUX
ajst-3594	91	12	stopped	stop	VERB
ajst-3594	91	13	,	,	PUNCT
ajst-3594	91	14	and	and	CCONJ
ajst-3594	91	15	then	then	ADV
ajst-3594	91	16	we	we	PRON
ajst-3594	91	17	can	can	AUX
ajst-3594	91	18	conclude	conclude	VERB
ajst-3594	91	19	that	that	SCONJ
ajst-3594	91	20	there	there	PRON
ajst-3594	91	21	was	be	VERB
ajst-3594	91	22	an	an	DET
ajst-3594	91	23	abnormality	abnormality	NOUN
ajst-3594	91	24	in	in	ADP
ajst-3594	91	25	the	the	DET
ajst-3594	91	26	network	network	NOUN
ajst-3594	91	27	from	from	ADP
ajst-3594	91	28	9	9	NUM
ajst-3594	91	29	:	:	SYM
ajst-3594	91	30	15	15	NUM
ajst-3594	91	31	to	to	PART
ajst-3594	91	32	9	9	NUM
ajst-3594	91	33	:	:	SYM
ajst-3594	91	34	45	45	NUM
ajst-3594	91	35	.	.	PUNCT
ajst-3594	92	1	in	in	ADP
ajst-3594	92	2	this	this	DET
ajst-3594	92	3	experiment	experiment	NOUN
ajst-3594	92	4	,	,	PUNCT
ajst-3594	92	5	the	the	DET
ajst-3594	92	6	program	program	NOUN
ajst-3594	92	7	written	write	VERB
ajst-3594	92	8	in	in	ADP
ajst-3594	92	9	python	python	NOUN
ajst-3594	92	10	language	language	NOUN
ajst-3594	92	11	is	be	AUX
ajst-3594	92	12	used	use	VERB
ajst-3594	92	13	to	to	PART
ajst-3594	92	14	preprocess	preprocess	VERB
ajst-3594	92	15	the	the	DET
ajst-3594	92	16	data	datum	NOUN
ajst-3594	92	17	,	,	PUNCT
ajst-3594	92	18	and	and	CCONJ
ajst-3594	92	19	then	then	ADV
ajst-3594	92	20	the	the	DET
ajst-3594	92	21	standardized	standardized	ADJ
ajst-3594	92	22	data	data	NOUN
ajst-3594	92	23	is	be	AUX
ajst-3594	92	24	used	use	VERB
ajst-3594	92	25	in	in	ADP
ajst-3594	92	26	the	the	DET
ajst-3594	92	27	experiment	experiment	NOUN
ajst-3594	92	28	.	.	PUNCT
ajst-3594	93	1	in	in	ADP
ajst-3594	93	2	this	this	DET
ajst-3594	93	3	experiment	experiment	NOUN
ajst-3594	93	4	,	,	PUNCT
ajst-3594	93	5	accuracy	accuracy	NOUN
ajst-3594	93	6	,	,	PUNCT
ajst-3594	93	7	detection	detection	NOUN
ajst-3594	93	8	rate	rate	NOUN
ajst-3594	93	9	and	and	CCONJ
ajst-3594	93	10	f1	f1	NOUN
ajst-3594	93	11	-	-	PUNCT
ajst-3594	93	12	score	score	NOUN
ajst-3594	93	13	are	be	AUX
ajst-3594	93	14	used	use	VERB
ajst-3594	93	15	as	as	ADP
ajst-3594	93	16	evaluation	evaluation	NOUN
ajst-3594	93	17	measures	measure	NOUN
ajst-3594	93	18	.	.	PUNCT
ajst-3594	94	1	finally	finally	ADV
ajst-3594	94	2	,	,	PUNCT
ajst-3594	94	3	the	the	DET
ajst-3594	94	4	network	network	NOUN
ajst-3594	94	5	traffic	traffic	NOUN
ajst-3594	94	6	anomaly	anomaly	PROPN
ajst-3594	94	7	detection	detection	NOUN
ajst-3594	94	8	model	model	NOUN
ajst-3594	94	9	proposed	propose	VERB
ajst-3594	94	10	in	in	ADP
ajst-3594	94	11	this	this	DET
ajst-3594	94	12	paper	paper	NOUN
ajst-3594	94	13	is	be	AUX
ajst-3594	94	14	compared	compare	VERB
ajst-3594	94	15	with	with	ADP
ajst-3594	94	16	other	other	ADJ
ajst-3594	94	17	traditional	traditional	ADJ
ajst-3594	94	18	classification	classification	NOUN
ajst-3594	94	19	methods	method	NOUN
ajst-3594	94	20	knn	knn	PROPN
ajst-3594	94	21	(	(	PUNCT
ajst-3594	94	22	k	k	X
ajst-3594	94	23	-	-	PUNCT
ajst-3594	94	24	nearest	near	ADJ
ajst-3594	94	25	neighbor	neighbor	NOUN
ajst-3594	94	26	)	)	PUNCT
ajst-3594	94	27	and	and	CCONJ
ajst-3594	94	28	svm	svm	ADJ
ajst-3594	94	29	,	,	PUNCT
ajst-3594	94	30	and	and	CCONJ
ajst-3594	94	31	the	the	DET
ajst-3594	94	32	results	result	NOUN
ajst-3594	94	33	are	be	AUX
ajst-3594	94	34	shown	show	VERB
ajst-3594	94	35	in	in	ADP
ajst-3594	94	36	figure	figure	NOUN
ajst-3594	94	37	3	3	NUM
ajst-3594	94	38	.	.	NOUN
ajst-3594	94	39	124	124	NUM
ajst-3594	94	40	figure	figure	NOUN
ajst-3594	94	41	3	3	NUM
ajst-3594	94	42	.	.	NOUN
ajst-3594	94	43	comparison	comparison	NOUN
ajst-3594	94	44	between	between	ADP
ajst-3594	94	45	this	this	DET
ajst-3594	94	46	method	method	NOUN
ajst-3594	94	47	and	and	CCONJ
ajst-3594	94	48	other	other	ADJ
ajst-3594	94	49	classification	classification	NOUN
ajst-3594	94	50	methods	method	NOUN
ajst-3594	94	51	it	it	PRON
ajst-3594	94	52	can	can	AUX
ajst-3594	94	53	be	be	AUX
ajst-3594	94	54	seen	see	VERB
ajst-3594	94	55	that	that	SCONJ
ajst-3594	94	56	python	python	NOUN
ajst-3594	94	57	-	-	PUNCT
ajst-3594	94	58	based	base	VERB
ajst-3594	94	59	network	network	NOUN
ajst-3594	94	60	traffic	traffic	NOUN
ajst-3594	94	61	anomaly	anomaly	NOUN
ajst-3594	94	62	detection	detection	NOUN
ajst-3594	94	63	method	method	NOUN
ajst-3594	94	64	is	be	AUX
ajst-3594	94	65	superior	superior	ADJ
ajst-3594	94	66	to	to	PART
ajst-3594	94	67	knn	knn	VERB
ajst-3594	94	68	and	and	CCONJ
ajst-3594	94	69	svm	svm	VERB
ajst-3594	94	70	four	four	NUM
ajst-3594	94	71	classification	classification	NOUN
ajst-3594	94	72	algorithms	algorithm	NOUN
ajst-3594	94	73	in	in	ADP
ajst-3594	94	74	accuracy	accuracy	NOUN
ajst-3594	94	75	and	and	CCONJ
ajst-3594	94	76	f1	f1	NOUN
ajst-3594	94	77	-	-	PUNCT
ajst-3594	94	78	score	score	NOUN
ajst-3594	94	79	.	.	PUNCT
ajst-3594	95	1	the	the	DET
ajst-3594	95	2	detection	detection	NOUN
ajst-3594	95	3	rate	rate	NOUN
ajst-3594	95	4	performance	performance	NOUN
ajst-3594	95	5	is	be	AUX
ajst-3594	95	6	lower	low	ADJ
ajst-3594	95	7	than	than	ADP
ajst-3594	95	8	knn	knn	VERB
ajst-3594	95	9	classification	classification	NOUN
ajst-3594	95	10	method	method	NOUN
ajst-3594	95	11	and	and	CCONJ
ajst-3594	95	12	higher	high	ADJ
ajst-3594	95	13	than	than	ADP
ajst-3594	95	14	svm	svm	VERB
ajst-3594	95	15	four	four	NUM
ajst-3594	95	16	classification	classification	NOUN
ajst-3594	95	17	method	method	NOUN
ajst-3594	95	18	.	.	PUNCT
ajst-3594	96	1	4	4	X
ajst-3594	96	2	.	.	X
ajst-3594	96	3	conclusions	conclusion	NOUN
ajst-3594	96	4	information	information	NOUN
ajst-3594	96	5	technology	technology	NOUN
ajst-3594	96	6	is	be	AUX
ajst-3594	96	7	affecting	affect	VERB
ajst-3594	96	8	people	people	NOUN
ajst-3594	96	9	's	's	PART
ajst-3594	96	10	life	life	NOUN
ajst-3594	96	11	style	style	NOUN
ajst-3594	96	12	and	and	CCONJ
ajst-3594	96	13	working	working	NOUN
ajst-3594	96	14	mode	mode	NOUN
ajst-3594	96	15	.	.	PUNCT
ajst-3594	97	1	from	from	ADP
ajst-3594	97	2	government	government	NOUN
ajst-3594	97	3	agencies	agency	NOUN
ajst-3594	97	4	to	to	ADP
ajst-3594	97	5	various	various	ADJ
ajst-3594	97	6	enterprises	enterprise	NOUN
ajst-3594	97	7	,	,	PUNCT
ajst-3594	97	8	network	network	NOUN
ajst-3594	97	9	information	information	NOUN
ajst-3594	97	10	technology	technology	NOUN
ajst-3594	97	11	is	be	AUX
ajst-3594	97	12	needed	need	VERB
ajst-3594	97	13	to	to	PART
ajst-3594	97	14	provide	provide	VERB
ajst-3594	97	15	work	work	NOUN
ajst-3594	97	16	convenience	convenience	NOUN
ajst-3594	97	17	.	.	PUNCT
ajst-3594	98	1	the	the	DET
ajst-3594	98	2	security	security	NOUN
ajst-3594	98	3	and	and	CCONJ
ajst-3594	98	4	reliability	reliability	NOUN
ajst-3594	98	5	of	of	ADP
ajst-3594	98	6	the	the	DET
ajst-3594	98	7	network	network	NOUN
ajst-3594	98	8	are	be	AUX
ajst-3594	98	9	related	relate	VERB
ajst-3594	98	10	to	to	ADP
ajst-3594	98	11	the	the	DET
ajst-3594	98	12	business	business	NOUN
ajst-3594	98	13	operation	operation	NOUN
ajst-3594	98	14	all	all	DET
ajst-3594	98	15	the	the	DET
ajst-3594	98	16	time	time	NOUN
ajst-3594	98	17	.	.	PUNCT
ajst-3594	99	1	this	this	DET
ajst-3594	99	2	paper	paper	NOUN
ajst-3594	99	3	focuses	focus	VERB
ajst-3594	99	4	on	on	ADP
ajst-3594	99	5	python	python	NOUN
ajst-3594	99	6	-	-	PUNCT
ajst-3594	99	7	based	base	VERB
ajst-3594	99	8	network	network	NOUN
ajst-3594	99	9	traffic	traffic	NOUN
ajst-3594	99	10	anomaly	anomaly	NOUN
ajst-3594	99	11	detection	detection	NOUN
ajst-3594	99	12	method	method	NOUN
ajst-3594	99	13	.	.	PUNCT
ajst-3594	100	1	in	in	ADP
ajst-3594	100	2	the	the	DET
ajst-3594	100	3	experiment	experiment	NOUN
ajst-3594	100	4	,	,	PUNCT
ajst-3594	100	5	the	the	DET
ajst-3594	100	6	program	program	NOUN
ajst-3594	100	7	written	write	VERB
ajst-3594	100	8	in	in	ADP
ajst-3594	100	9	python	python	NOUN
ajst-3594	100	10	language	language	NOUN
ajst-3594	100	11	is	be	AUX
ajst-3594	100	12	used	use	VERB
ajst-3594	100	13	to	to	PART
ajst-3594	100	14	preprocess	preprocess	VERB
ajst-3594	100	15	the	the	DET
ajst-3594	100	16	data	datum	NOUN
ajst-3594	100	17	,	,	PUNCT
ajst-3594	100	18	and	and	CCONJ
ajst-3594	100	19	then	then	ADV
ajst-3594	100	20	the	the	DET
ajst-3594	100	21	standardized	standardized	ADJ
ajst-3594	100	22	data	data	NOUN
ajst-3594	100	23	is	be	AUX
ajst-3594	100	24	used	use	VERB
ajst-3594	100	25	in	in	ADP
ajst-3594	100	26	the	the	DET
ajst-3594	100	27	experiment	experiment	NOUN
ajst-3594	100	28	.	.	PUNCT
ajst-3594	101	1	in	in	ADP
ajst-3594	101	2	this	this	DET
ajst-3594	101	3	experiment	experiment	NOUN
ajst-3594	101	4	,	,	PUNCT
ajst-3594	101	5	accuracy	accuracy	NOUN
ajst-3594	101	6	,	,	PUNCT
ajst-3594	101	7	detection	detection	NOUN
ajst-3594	101	8	rate	rate	NOUN
ajst-3594	101	9	and	and	CCONJ
ajst-3594	101	10	f1	f1	NOUN
ajst-3594	101	11	-	-	PUNCT
ajst-3594	101	12	score	score	NOUN
ajst-3594	101	13	are	be	AUX
ajst-3594	101	14	used	use	VERB
ajst-3594	101	15	as	as	ADP
ajst-3594	101	16	evaluation	evaluation	NOUN
ajst-3594	101	17	measures	measure	NOUN
ajst-3594	101	18	.	.	PUNCT
ajst-3594	102	1	the	the	DET
ajst-3594	102	2	results	result	NOUN
ajst-3594	102	3	show	show	VERB
ajst-3594	102	4	that	that	SCONJ
ajst-3594	102	5	python	python	NOUN
ajst-3594	102	6	-	-	PUNCT
ajst-3594	102	7	based	base	VERB
ajst-3594	102	8	network	network	NOUN
ajst-3594	102	9	traffic	traffic	NOUN
ajst-3594	102	10	anomaly	anomaly	NOUN
ajst-3594	102	11	detection	detection	NOUN
ajst-3594	102	12	method	method	NOUN
ajst-3594	102	13	is	be	AUX
ajst-3594	102	14	superior	superior	ADJ
ajst-3594	102	15	to	to	ADP
ajst-3594	102	16	the	the	DET
ajst-3594	102	17	traditional	traditional	ADJ
ajst-3594	102	18	algorithm	algorithm	NOUN
ajst-3594	102	19	in	in	ADP
ajst-3594	102	20	accuracy	accuracy	NOUN
ajst-3594	102	21	and	and	CCONJ
ajst-3594	102	22	f1	f1	NOUN
ajst-3594	102	23	-	-	PUNCT
ajst-3594	102	24	score	score	NOUN
ajst-3594	102	25	.	.	PUNCT
ajst-3594	103	1	references	reference	NOUN
ajst-3594	103	2	[	[	X
ajst-3594	103	3	1	1	NUM
ajst-3594	103	4	]	]	PUNCT
ajst-3594	103	5	monshizadeh	monshizadeh	NOUN
ajst-3594	103	6	,	,	PUNCT
ajst-3594	103	7	m.	m.	NOUN
ajst-3594	103	8	,	,	PUNCT
ajst-3594	103	9	khatri	khatri	PROPN
ajst-3594	103	10	,	,	PUNCT
ajst-3594	103	11	v.	v.	PROPN
ajst-3594	103	12	,	,	PUNCT
ajst-3594	103	13	gamdou	gamdou	NOUN
ajst-3594	103	14	,	,	PUNCT
ajst-3594	103	15	m.	m.	NOUN
ajst-3594	103	16	,	,	PUNCT
ajst-3594	103	17	kantola	kantola	PROPN
ajst-3594	103	18	,	,	PUNCT
ajst-3594	103	19	r.	r.	PROPN
ajst-3594	103	20	,	,	PUNCT
ajst-3594	103	21	&	&	CCONJ
ajst-3594	103	22	zheng	zheng	PROPN
ajst-3594	103	23	,	,	PUNCT
ajst-3594	103	24	y.	y.	PROPN
ajst-3594	103	25	.	.	PUNCT
ajst-3594	104	1	(	(	PUNCT
ajst-3594	104	2	2021	2021	NUM
ajst-3594	104	3	)	)	PUNCT
ajst-3594	104	4	.	.	PUNCT
ajst-3594	105	1	improving	improve	VERB
ajst-3594	105	2	data	datum	NOUN
ajst-3594	105	3	generalization	generalization	NOUN
ajst-3594	105	4	with	with	ADP
ajst-3594	105	5	variational	variational	ADJ
ajst-3594	105	6	autoencoders	autoencoder	NOUN
ajst-3594	105	7	for	for	ADP
ajst-3594	105	8	network	network	NOUN
ajst-3594	105	9	traffic	traffic	NOUN
ajst-3594	105	10	anomaly	anomaly	NOUN
ajst-3594	105	11	detection	detection	NOUN
ajst-3594	105	12	.	.	PUNCT
ajst-3594	106	1	ieee	ieee	NOUN
ajst-3594	106	2	access	access	NOUN
ajst-3594	106	3	,	,	PUNCT
ajst-3594	106	4	2021(99	2021(99	NUM
ajst-3594	106	5	)	)	PUNCT
ajst-3594	106	6	,	,	PUNCT
ajst-3594	106	7	1	1	NUM
ajst-3594	106	8	-	-	SYM
ajst-3594	106	9	1	1	NUM
ajst-3594	106	10	.	.	PUNCT
ajst-3594	107	1	[	[	X
ajst-3594	107	2	2	2	NUM
ajst-3594	107	3	]	]	X
ajst-3594	107	4	pei	pei	PROPN
ajst-3594	107	5	,	,	PUNCT
ajst-3594	107	6	j.	j.	PROPN
ajst-3594	107	7	,	,	PUNCT
ajst-3594	107	8	zhong	zhong	PROPN
ajst-3594	107	9	,	,	PUNCT
ajst-3594	107	10	k.	k.	PROPN
ajst-3594	107	11	,	,	PUNCT
ajst-3594	107	12	jan	jan	PROPN
ajst-3594	107	13	,	,	PUNCT
ajst-3594	107	14	m.	m.	NOUN
ajst-3594	107	15	a.	a.	PROPN
ajst-3594	107	16	,	,	PUNCT
ajst-3594	107	17	&	&	CCONJ
ajst-3594	107	18	li	li	PROPN
ajst-3594	107	19	,	,	PUNCT
ajst-3594	107	20	j.	j.	PROPN
ajst-3594	107	21	.	.	PUNCT
ajst-3594	108	1	(	(	PUNCT
ajst-3594	108	2	2022	2022	NUM
ajst-3594	108	3	)	)	PUNCT
ajst-3594	108	4	.	.	PUNCT
ajst-3594	109	1	personalized	personalize	VERB
ajst-3594	109	2	federated	federated	ADJ
ajst-3594	109	3	learning	learning	NOUN
ajst-3594	109	4	framework	framework	NOUN
ajst-3594	109	5	for	for	ADP
ajst-3594	109	6	network	network	NOUN
ajst-3594	109	7	traffic	traffic	NOUN
ajst-3594	109	8	anomaly	anomaly	NOUN
ajst-3594	109	9	detection	detection	NOUN
ajst-3594	109	10	.	.	PUNCT
ajst-3594	110	1	computer	computer	NOUN
ajst-3594	110	2	networks,2022(22	networks,2022(22	PROPN
ajst-3594	110	3	)	)	PUNCT
ajst-3594	110	4	,	,	PUNCT
ajst-3594	110	5	209	209	NUM
ajst-3594	110	6	.	.	PUNCT
ajst-3594	111	1	[	[	X
ajst-3594	111	2	3	3	NUM
ajst-3594	111	3	]	]	X
ajst-3594	111	4	zhang	zhang	PROPN
ajst-3594	111	5	,	,	PUNCT
ajst-3594	111	6	s.	s.	PROPN
ajst-3594	111	7	t.	t.	PROPN
ajst-3594	111	8	,	,	PUNCT
ajst-3594	111	9	lin	lin	PROPN
ajst-3594	111	10	,	,	PUNCT
ajst-3594	111	11	x.	x.	PROPN
ajst-3594	111	12	b.	b.	PROPN
ajst-3594	111	13	,	,	PUNCT
ajst-3594	111	14	wu	wu	PROPN
ajst-3594	111	15	,	,	PUNCT
ajst-3594	111	16	l.	l.	PROPN
ajst-3594	111	17	,	,	PUNCT
ajst-3594	111	18	song	song	NOUN
ajst-3594	111	19	,	,	PUNCT
ajst-3594	111	20	y.	y.	PROPN
ajst-3594	111	21	q.	q.	PROPN
ajst-3594	111	22	,	,	PUNCT
ajst-3594	111	23	&	&	CCONJ
ajst-3594	111	24	liang	liang	PROPN
ajst-3594	111	25	,	,	PUNCT
ajst-3594	111	26	z.	z.	PROPN
ajst-3594	111	27	h.	h.	PROPN
ajst-3594	111	28	.	.	PUNCT
ajst-3594	112	1	(	(	PUNCT
ajst-3594	112	2	2020	2020	NUM
ajst-3594	112	3	)	)	PUNCT
ajst-3594	112	4	.	.	PUNCT
ajst-3594	113	1	network	network	NOUN
ajst-3594	113	2	traffic	traffic	NOUN
ajst-3594	113	3	anomaly	anomaly	NOUN
ajst-3594	113	4	detection	detection	NOUN
ajst-3594	113	5	based	base	VERB
ajst-3594	113	6	on	on	ADP
ajst-3594	113	7	ml	ml	NOUN
ajst-3594	113	8	-	-	PUNCT
ajst-3594	113	9	esn	esn	NOUN
ajst-3594	113	10	for	for	ADP
ajst-3594	113	11	power	power	NOUN
ajst-3594	113	12	metering	metering	NOUN
ajst-3594	113	13	system	system	NOUN
ajst-3594	113	14	.	.	PUNCT
ajst-3594	114	1	mathematical	mathematical	ADJ
ajst-3594	114	2	problems	problem	NOUN
ajst-3594	114	3	in	in	ADP
ajst-3594	114	4	engineering	engineering	NOUN
ajst-3594	114	5	,	,	PUNCT
ajst-3594	114	6	2020(1	2020(1	NUM
ajst-3594	114	7	)	)	PUNCT
ajst-3594	114	8	,	,	PUNCT
ajst-3594	114	9	1	1	NUM
ajst-3594	114	10	-	-	SYM
ajst-3594	114	11	21	21	NUM
ajst-3594	114	12	.	.	PUNCT
ajst-3594	115	1	[	[	X
ajst-3594	115	2	4	4	NUM
ajst-3594	115	3	]	]	X
ajst-3594	115	4	xia	xia	PROPN
ajst-3594	115	5	,	,	PUNCT
ajst-3594	115	6	h.	h.	PROPN
ajst-3594	115	7	,	,	PUNCT
ajst-3594	115	8	fang	fang	PROPN
ajst-3594	115	9	,	,	PUNCT
ajst-3594	115	10	b.	b.	PROPN
ajst-3594	115	11	,	,	PUNCT
ajst-3594	115	12	roughan	roughan	PROPN
ajst-3594	115	13	,	,	PUNCT
ajst-3594	115	14	m.	m.	NOUN
ajst-3594	115	15	,	,	PUNCT
ajst-3594	115	16	cho	cho	PROPN
ajst-3594	115	17	,	,	PUNCT
ajst-3594	115	18	k.	k.	PROPN
ajst-3594	115	19	,	,	PUNCT
ajst-3594	115	20	&	&	CCONJ
ajst-3594	115	21	tune	tune	NOUN
ajst-3594	115	22	,	,	PUNCT
ajst-3594	115	23	p.	p.	NOUN
ajst-3594	115	24	.	.	PUNCT
ajst-3594	116	1	(	(	PUNCT
ajst-3594	116	2	2018	2018	NUM
ajst-3594	116	3	)	)	PUNCT
ajst-3594	116	4	.	.	PUNCT
ajst-3594	117	1	a	a	DET
ajst-3594	117	2	basisevolution	basisevolution	NOUN
ajst-3594	117	3	framework	framework	NOUN
ajst-3594	117	4	for	for	ADP
ajst-3594	117	5	network	network	NOUN
ajst-3594	117	6	traffic	traffic	NOUN
ajst-3594	117	7	anomaly	anomaly	NOUN
ajst-3594	117	8	detection	detection	NOUN
ajst-3594	117	9	.	.	PUNCT
ajst-3594	118	1	computer	computer	NOUN
ajst-3594	118	2	networks	network	NOUN
ajst-3594	118	3	,	,	PUNCT
ajst-3594	118	4	135(22	135(22	NUM
ajst-3594	118	5	)	)	PUNCT
ajst-3594	118	6	,	,	PUNCT
ajst-3594	118	7	15	15	NUM
ajst-3594	118	8	-	-	SYM
ajst-3594	118	9	31	31	NUM
ajst-3594	118	10	.	.	PUNCT
ajst-3594	119	1	[	[	X
ajst-3594	119	2	5	5	NUM
ajst-3594	119	3	]	]	PUNCT
ajst-3594	119	4	hosseinpour	hosseinpour	NOUN
ajst-3594	119	5	,	,	PUNCT
ajst-3594	119	6	m.	m.	NOUN
ajst-3594	119	7	,	,	PUNCT
ajst-3594	119	8	yaghmaee	yaghmaee	PROPN
ajst-3594	119	9	,	,	PUNCT
ajst-3594	119	10	m.	m.	PROPN
ajst-3594	119	11	h.	h.	PROPN
ajst-3594	119	12	,	,	PUNCT
ajst-3594	119	13	seno	seno	PROPN
ajst-3594	119	14	,	,	PUNCT
ajst-3594	119	15	s.	s.	PROPN
ajst-3594	119	16	a.	a.	PROPN
ajst-3594	119	17	h.	h.	PROPN
ajst-3594	119	18	,	,	PUNCT
ajst-3594	119	19	roshkhari	roshkhari	PROPN
ajst-3594	119	20	,	,	PUNCT
ajst-3594	119	21	h.	h.	PROPN
ajst-3594	119	22	k.	k.	PROPN
ajst-3594	119	23	,	,	PUNCT
ajst-3594	119	24	&	&	CCONJ
ajst-3594	119	25	asadi	asadi	NOUN
ajst-3594	119	26	,	,	PUNCT
ajst-3594	119	27	m.	m.	NOUN
ajst-3594	119	28	.	.	PUNCT
ajst-3594	120	1	(	(	PUNCT
ajst-3594	120	2	2018	2018	NUM
ajst-3594	120	3	)	)	PUNCT
ajst-3594	120	4	.	.	PUNCT
ajst-3594	121	1	anomaly‐based	anomaly‐base	VERB
ajst-3594	121	2	dos	do	NOUN
ajst-3594	121	3	detection	detection	NOUN
ajst-3594	121	4	and	and	CCONJ
ajst-3594	121	5	prevention	prevention	NOUN
ajst-3594	121	6	in	in	ADP
ajst-3594	121	7	sip	sip	NOUN
ajst-3594	121	8	networks	network	NOUN
ajst-3594	121	9	by	by	ADP
ajst-3594	121	10	modeling	model	VERB
ajst-3594	121	11	sip	sip	NOUN
ajst-3594	121	12	normal	normal	ADJ
ajst-3594	121	13	traffic	traffic	NOUN
ajst-3594	121	14	.	.	PUNCT
ajst-3594	122	1	international	international	ADJ
ajst-3594	122	2	journal	journal	PROPN
ajst-3594	122	3	of	of	ADP
ajst-3594	122	4	communication	communication	NOUN
ajst-3594	122	5	systems	system	NOUN
ajst-3594	122	6	,	,	PUNCT
ajst-3594	122	7	31(18	31(18	NUM
ajst-3594	122	8	)	)	PUNCT
ajst-3594	122	9	,	,	PUNCT
ajst-3594	122	10	25	25	NUM
ajst-3594	122	11	-	-	SYM
ajst-3594	122	12	26	26	NUM
ajst-3594	122	13	.	.	PUNCT
ajst-3594	123	1	[	[	X
ajst-3594	123	2	6	6	NUM
ajst-3594	123	3	]	]	X
ajst-3594	123	4	murugan	murugan	PROPN
ajst-3594	123	5	,	,	PUNCT
ajst-3594	123	6	k.	k.	PROPN
ajst-3594	123	7	,	,	PUNCT
ajst-3594	123	8	&	&	CCONJ
ajst-3594	123	9	suresh	suresh	PROPN
ajst-3594	123	10	,	,	PUNCT
ajst-3594	123	11	p.	p.	NOUN
ajst-3594	123	12	.	.	PUNCT
ajst-3594	124	1	(	(	PUNCT
ajst-3594	124	2	2018	2018	NUM
ajst-3594	124	3	)	)	PUNCT
ajst-3594	124	4	.	.	PUNCT
ajst-3594	125	1	efficient	efficient	ADJ
ajst-3594	125	2	anomaly	anomaly	PROPN
ajst-3594	125	3	intrusion	intrusion	NOUN
ajst-3594	125	4	detection	detection	NOUN
ajst-3594	125	5	using	use	VERB
ajst-3594	125	6	hybrid	hybrid	ADJ
ajst-3594	125	7	probabilistic	probabilistic	ADJ
ajst-3594	125	8	techniques	technique	NOUN
ajst-3594	125	9	in	in	ADP
ajst-3594	125	10	wireless	wireless	ADJ
ajst-3594	125	11	ad	ad	NOUN
ajst-3594	125	12	hoc	hoc	X
ajst-3594	125	13	network	network	NOUN
ajst-3594	125	14	.	.	PUNCT
ajst-3594	126	1	international	international	ADJ
ajst-3594	126	2	journal	journal	PROPN
ajst-3594	126	3	of	of	ADP
ajst-3594	126	4	network	network	NOUN
ajst-3594	126	5	security	security	NOUN
ajst-3594	126	6	,	,	PUNCT
ajst-3594	126	7	20(4	20(4	NOUN
ajst-3594	126	8	)	)	PUNCT
ajst-3594	126	9	,	,	PUNCT
ajst-3594	126	10	730	730	NUM
ajst-3594	126	11	-	-	SYM
ajst-3594	126	12	737	737	NUM
ajst-3594	126	13	.	.	PUNCT
ajst-3594	127	1	[	[	X
ajst-3594	127	2	7	7	X
ajst-3594	127	3	]	]	X
ajst-3594	127	4	dutta	dutta	NOUN
ajst-3594	127	5	,	,	PUNCT
ajst-3594	127	6	v.	v.	PROPN
ajst-3594	127	7	,	,	PUNCT
ajst-3594	127	8	chora	chora	PROPN
ajst-3594	127	9	,	,	PUNCT
ajst-3594	127	10	m.	m.	NOUN
ajst-3594	127	11	,	,	PUNCT
ajst-3594	127	12	pawlicki	pawlicki	NOUN
ajst-3594	127	13	,	,	PUNCT
ajst-3594	127	14	m.	m.	NOUN
ajst-3594	127	15	,	,	PUNCT
ajst-3594	127	16	&	&	CCONJ
ajst-3594	127	17	kozik	kozik	PROPN
ajst-3594	127	18	,	,	PUNCT
ajst-3594	127	19	r.	r.	PROPN
ajst-3594	127	20	.	.	PUNCT
ajst-3594	128	1	(	(	PUNCT
ajst-3594	128	2	2020	2020	NUM
ajst-3594	128	3	)	)	PUNCT
ajst-3594	128	4	.	.	PUNCT
ajst-3594	129	1	a	a	DET
ajst-3594	129	2	deep	deep	ADJ
ajst-3594	129	3	learning	learning	NOUN
ajst-3594	129	4	ensemble	ensemble	ADJ
ajst-3594	129	5	for	for	ADP
ajst-3594	129	6	network	network	NOUN
ajst-3594	129	7	anomaly	anomaly	NOUN
ajst-3594	129	8	and	and	CCONJ
ajst-3594	129	9	cyber	cyber	NOUN
ajst-3594	129	10	-	-	PUNCT
ajst-3594	129	11	attack	attack	NOUN
ajst-3594	129	12	detection	detection	NOUN
ajst-3594	129	13	.	.	PUNCT
ajst-3594	130	1	sensors	sensor	NOUN
ajst-3594	130	2	,	,	PUNCT
ajst-3594	130	3	20(16	20(16	NUM
ajst-3594	130	4	)	)	PUNCT
ajst-3594	130	5	,	,	PUNCT
ajst-3594	130	6	4583	4583	NUM
ajst-3594	130	7	.	.	PUNCT
ajst-3594	131	1	[	[	X
ajst-3594	131	2	8	8	NUM
ajst-3594	131	3	]	]	X
ajst-3594	131	4	al	al	PROPN
ajst-3594	131	5	-	-	PUNCT
ajst-3594	131	6	badawi	badawi	PROPN
ajst-3594	131	7	,	,	PUNCT
ajst-3594	131	8	a.	a.	NOUN
ajst-3594	131	9	.	.	PUNCT
ajst-3594	132	1	(	(	PUNCT
ajst-3594	132	2	2021	2021	NUM
ajst-3594	132	3	)	)	PUNCT
ajst-3594	132	4	.	.	PUNCT
ajst-3594	133	1	attack	attack	NOUN
ajst-3594	133	2	-	-	PUNCT
ajst-3594	133	3	aware	aware	ADJ
ajst-3594	133	4	iot	iot	ADJ
ajst-3594	133	5	network	network	NOUN
ajst-3594	133	6	traffic	traffic	NOUN
ajst-3594	133	7	routing	routing	NOUN
ajst-3594	133	8	leveraging	leverage	VERB
ajst-3594	133	9	ensemble	ensemble	ADJ
ajst-3594	133	10	learning	learning	NOUN
ajst-3594	133	11	.	.	PUNCT
ajst-3594	134	1	sensors	sensor	NOUN
ajst-3594	134	2	,	,	PUNCT
ajst-3594	134	3	22(41	22(41	NUM
ajst-3594	134	4	)	)	PUNCT
ajst-3594	134	5	,	,	PUNCT
ajst-3594	134	6	37	37	NUM
ajst-3594	134	7	.	.	PUNCT
ajst-3594	135	1	[	[	X
ajst-3594	135	2	9	9	NUM
ajst-3594	135	3	]	]	SYM
ajst-3594	135	4	carvalho	carvalho	NOUN
ajst-3594	135	5	,	,	PUNCT
ajst-3594	135	6	l.	l.	PROPN
ajst-3594	135	7	f.	f.	PROPN
ajst-3594	135	8	,	,	PUNCT
ajst-3594	135	9	abrao	abrao	ADP
ajst-3594	135	10	,	,	PUNCT
ajst-3594	135	11	t.	t.	NOUN
ajst-3594	135	12	,	,	PUNCT
ajst-3594	135	13	mendes	mende	NOUN
ajst-3594	135	14	,	,	PUNCT
ajst-3594	135	15	l.	l.	PROPN
ajst-3594	135	16	,	,	PUNCT
ajst-3594	135	17	&	&	CCONJ
ajst-3594	135	18	proenca	proenca	PROPN
ajst-3594	135	19	,	,	PUNCT
ajst-3594	135	20	m.	m.	PROPN
ajst-3594	135	21	l.	l.	PROPN
ajst-3594	135	22	j.	j.	PROPN
ajst-3594	135	23	.	.	PUNCT
ajst-3594	136	1	(	(	PUNCT
ajst-3594	136	2	2018	2018	NUM
ajst-3594	136	3	)	)	PUNCT
ajst-3594	136	4	.	.	PUNCT
ajst-3594	137	1	an	an	DET
ajst-3594	137	2	ecosystem	ecosystem	NOUN
ajst-3594	137	3	for	for	ADP
ajst-3594	137	4	anomaly	anomaly	NOUN
ajst-3594	137	5	detection	detection	NOUN
ajst-3594	137	6	and	and	CCONJ
ajst-3594	137	7	mitigation	mitigation	NOUN
ajst-3594	137	8	in	in	ADP
ajst-3594	137	9	software	software	NOUN
ajst-3594	137	10	-	-	PUNCT
ajst-3594	137	11	defined	define	VERB
ajst-3594	137	12	networking	networking	NOUN
ajst-3594	137	13	.	.	PUNCT
ajst-3594	138	1	expert	expert	NOUN
ajst-3594	138	2	systems	system	NOUN
ajst-3594	138	3	with	with	ADP
ajst-3594	138	4	applications	application	NOUN
ajst-3594	138	5	,	,	PUNCT
ajst-3594	138	6	104(10	104(10	NUM
ajst-3594	138	7	)	)	PUNCT
ajst-3594	138	8	,	,	PUNCT
ajst-3594	138	9	121	121	NUM
ajst-3594	138	10	-	-	SYM
ajst-3594	138	11	133	133	NUM
ajst-3594	138	12	.	.	PUNCT
ajst-3594	139	1	[	[	X
ajst-3594	139	2	10	10	NUM
ajst-3594	139	3	]	]	X
ajst-3594	139	4	wang	wang	PROPN
ajst-3594	139	5	,	,	PUNCT
ajst-3594	139	6	j.	j.	PROPN
ajst-3594	139	7	,	,	PUNCT
ajst-3594	139	8	jia	jia	PROPN
ajst-3594	139	9	,	,	PUNCT
ajst-3594	139	10	s.	s.	PROPN
ajst-3594	139	11	,	,	PUNCT
ajst-3594	139	12	zhao	zhao	PROPN
ajst-3594	139	13	,	,	PUNCT
ajst-3594	139	14	h.	h.	PROPN
ajst-3594	139	15	,	,	PUNCT
ajst-3594	139	16	xu	xu	PROPN
ajst-3594	139	17	,	,	PUNCT
ajst-3594	139	18	j.	j.	PROPN
ajst-3594	139	19	,	,	PUNCT
ajst-3594	139	20	&	&	CCONJ
ajst-3594	139	21	lin	lin	PROPN
ajst-3594	139	22	,	,	PUNCT
ajst-3594	139	23	c.	c.	PROPN
ajst-3594	139	24	.	.	PUNCT
ajst-3594	140	1	(	(	PUNCT
ajst-3594	140	2	2018	2018	NUM
ajst-3594	140	3	)	)	PUNCT
ajst-3594	140	4	.	.	PUNCT
ajst-3594	141	1	internet	internet	NOUN
ajst-3594	141	2	anomaly	anomaly	NOUN
ajst-3594	141	3	detection	detection	NOUN
ajst-3594	141	4	based	base	VERB
ajst-3594	141	5	on	on	ADP
ajst-3594	141	6	complex	complex	ADJ
ajst-3594	141	7	network	network	NOUN
ajst-3594	141	8	path	path	NOUN
ajst-3594	141	9	.	.	PUNCT
ajst-3594	142	1	ieice	ieice	NOUN
ajst-3594	142	2	transactions	transaction	NOUN
ajst-3594	142	3	on	on	ADP
ajst-3594	142	4	communications	communication	NOUN
ajst-3594	142	5	,	,	PUNCT
ajst-3594	142	6	101(12	101(12	NUM
ajst-3594	142	7	)	)	PUNCT
ajst-3594	142	8	,	,	PUNCT
ajst-3594	142	9	2397	2397	NUM
ajst-3594	142	10	-	-	SYM
ajst-3594	142	11	2408	2408	NUM
ajst-3594	142	12	.	.	PUNCT
ajst-3594	143	1	[	[	X
ajst-3594	143	2	11	11	NUM
ajst-3594	143	3	]	]	X
ajst-3594	143	4	wang	wang	PROPN
ajst-3594	143	5	,	,	PUNCT
ajst-3594	143	6	y.	y.	PROPN
ajst-3594	143	7	n.	n.	PROPN
ajst-3594	143	8	,	,	PUNCT
ajst-3594	143	9	wang	wang	PROPN
ajst-3594	143	10	,	,	PUNCT
ajst-3594	143	11	j.	j.	PROPN
ajst-3594	143	12	,	,	PUNCT
ajst-3594	143	13	fan	fan	PROPN
ajst-3594	143	14	,	,	PUNCT
ajst-3594	143	15	x.	x.	NOUN
ajst-3594	143	16	,	,	PUNCT
ajst-3594	143	17	&	&	CCONJ
ajst-3594	143	18	song	song	PROPN
ajst-3594	143	19	,	,	PUNCT
ajst-3594	143	20	y.	y.	PROPN
ajst-3594	143	21	.	.	PUNCT
ajst-3594	144	1	(	(	PUNCT
ajst-3594	144	2	2020	2020	NUM
ajst-3594	144	3	)	)	PUNCT
ajst-3594	144	4	.	.	PUNCT
ajst-3594	145	1	network	network	NOUN
ajst-3594	145	2	traffic	traffic	NOUN
ajst-3594	145	3	anomaly	anomaly	NOUN
ajst-3594	145	4	detection	detection	NOUN
ajst-3594	145	5	algorithm	algorithm	NOUN
ajst-3594	145	6	based	base	VERB
ajst-3594	145	7	on	on	ADP
ajst-3594	145	8	intuitionistic	intuitionistic	ADJ
ajst-3594	145	9	fuzzy	fuzzy	ADJ
ajst-3594	145	10	time	time	NOUN
ajst-3594	145	11	series	series	PROPN
ajst-3594	145	12	graph	graph	NOUN
ajst-3594	145	13	mining	mining	NOUN
ajst-3594	145	14	.	.	PUNCT
ajst-3594	146	1	ieee	ieee	NOUN
ajst-3594	146	2	access	access	NOUN
ajst-3594	146	3	,	,	PUNCT
ajst-3594	146	4	2020(99	2020(99	NUM
ajst-3594	146	5	)	)	PUNCT
ajst-3594	146	6	,	,	PUNCT
ajst-3594	146	7	1	1	NUM
ajst-3594	146	8	-	-	SYM
ajst-3594	146	9	1	1	NUM
ajst-3594	146	10	.	.	PUNCT