id	sid	tid	token	lemma	pos
fcis-13865	1	1	frontiers	frontier	NOUN
fcis-13865	1	2	in	in	ADP
fcis-13865	1	3	computing	computing	NOUN
fcis-13865	1	4	and	and	CCONJ
fcis-13865	1	5	intelligent	intelligent	ADJ
fcis-13865	1	6	systems	system	NOUN
fcis-13865	1	7	issn	issn	VERB
fcis-13865	1	8	:	:	PUNCT
fcis-13865	1	9	2832	2832	NUM
fcis-13865	1	10	-	-	SYM
fcis-13865	1	11	6024	6024	NUM
fcis-13865	1	12	|	|	NOUN
fcis-13865	1	13	vol	vol	NOUN
fcis-13865	1	14	.	.	PROPN
fcis-13865	2	1	5	5	NUM
fcis-13865	2	2	,	,	PUNCT
fcis-13865	2	3	no	no	INTJ
fcis-13865	2	4	.	.	NOUN
fcis-13865	2	5	3	3	NUM
fcis-13865	2	6	,	,	PUNCT
fcis-13865	2	7	2023	2023	NUM
fcis-13865	2	8	94	94	NUM
fcis-13865	2	9	scd	scd	NOUN
fcis-13865	2	10	:	:	PUNCT
fcis-13865	2	11	a	a	DET
fcis-13865	2	12	detection	detection	NOUN
fcis-13865	2	13	system	system	NOUN
fcis-13865	2	14	for	for	ADP
fcis-13865	2	15	ddos	ddos	NOUN
fcis-13865	2	16	attacks	attack	NOUN
fcis-13865	2	17	based	base	VERB
fcis-13865	2	18	on	on	ADP
fcis-13865	2	19	sae	sae	PROPN
fcis-13865	2	20	-	-	PROPN
fcis-13865	2	21	cnn	cnn	PROPN
fcis-13865	2	22	networks	network	NOUN
fcis-13865	2	23	hao	hao	PROPN
fcis-13865	2	24	xu	xu	PROPN
fcis-13865	2	25	,	,	PUNCT
fcis-13865	2	26	hequn	hequn	PROPN
fcis-13865	2	27	xian	xian	PROPN
fcis-13865	2	28	*	*	PUNCT
fcis-13865	2	29	college	college	NOUN
fcis-13865	2	30	of	of	ADP
fcis-13865	2	31	computer	computer	NOUN
fcis-13865	2	32	science	science	NOUN
fcis-13865	2	33	and	and	CCONJ
fcis-13865	2	34	technology	technology	NOUN
fcis-13865	2	35	,	,	PUNCT
fcis-13865	2	36	qingdao	qingdao	PROPN
fcis-13865	2	37	university	university	PROPN
fcis-13865	2	38	,	,	PUNCT
fcis-13865	2	39	qingdao	qingdao	PROPN
fcis-13865	2	40	,	,	PUNCT
fcis-13865	2	41	china	china	PROPN
fcis-13865	2	42	*	*	PUNCT
fcis-13865	2	43	corresponding	correspond	VERB
fcis-13865	2	44	author	author	NOUN
fcis-13865	2	45	:	:	PUNCT
fcis-13865	2	46	hequn	hequn	PROPN
fcis-13865	2	47	xian	xian	NOUN
fcis-13865	2	48	(	(	PUNCT
fcis-13865	2	49	email	email	NOUN
fcis-13865	2	50	:	:	PUNCT
fcis-13865	2	51	xianhq@126.com	xianhq@126.com	X
fcis-13865	2	52	)	)	PUNCT
fcis-13865	2	53	abstract	abstract	NOUN
fcis-13865	2	54	:	:	PUNCT
fcis-13865	2	55	the	the	DET
fcis-13865	2	56	pervasive	pervasive	ADJ
fcis-13865	2	57	application	application	NOUN
fcis-13865	2	58	of	of	ADP
fcis-13865	2	59	network	network	NOUN
fcis-13865	2	60	technology	technology	NOUN
fcis-13865	2	61	has	have	AUX
fcis-13865	2	62	given	give	VERB
fcis-13865	2	63	rise	rise	NOUN
fcis-13865	2	64	to	to	ADP
fcis-13865	2	65	a	a	DET
fcis-13865	2	66	numerous	numerous	ADJ
fcis-13865	2	67	of	of	ADP
fcis-13865	2	68	network	network	NOUN
fcis-13865	2	69	attacks	attack	NOUN
fcis-13865	2	70	,	,	PUNCT
fcis-13865	2	71	including	include	VERB
fcis-13865	2	72	distributed	distribute	VERB
fcis-13865	2	73	denial	denial	NOUN
fcis-13865	2	74	of	of	ADP
fcis-13865	2	75	service	service	NOUN
fcis-13865	2	76	(	(	PUNCT
fcis-13865	2	77	ddos	ddos	NOUN
fcis-13865	2	78	)	)	PUNCT
fcis-13865	2	79	attacks	attack	NOUN
fcis-13865	2	80	.	.	PUNCT
fcis-13865	3	1	ddos	ddo	NOUN
fcis-13865	3	2	attacks	attack	NOUN
fcis-13865	3	3	can	can	AUX
fcis-13865	3	4	lead	lead	VERB
fcis-13865	3	5	to	to	ADP
fcis-13865	3	6	the	the	DET
fcis-13865	3	7	collapse	collapse	NOUN
fcis-13865	3	8	of	of	ADP
fcis-13865	3	9	network	network	NOUN
fcis-13865	3	10	resources	resource	NOUN
fcis-13865	3	11	,	,	PUNCT
fcis-13865	3	12	making	make	VERB
fcis-13865	3	13	the	the	DET
fcis-13865	3	14	target	target	NOUN
fcis-13865	3	15	server	server	NOUN
fcis-13865	3	16	unable	unable	ADJ
fcis-13865	3	17	to	to	PART
fcis-13865	3	18	support	support	VERB
fcis-13865	3	19	legitimate	legitimate	ADJ
fcis-13865	3	20	users	user	NOUN
fcis-13865	3	21	,	,	PUNCT
fcis-13865	3	22	which	which	PRON
fcis-13865	3	23	is	be	AUX
fcis-13865	3	24	a	a	DET
fcis-13865	3	25	critical	critical	ADJ
fcis-13865	3	26	issue	issue	NOUN
fcis-13865	3	27	in	in	ADP
fcis-13865	3	28	cyberspace	cyberspace	ADJ
fcis-13865	3	29	security	security	NOUN
fcis-13865	3	30	.	.	PUNCT
fcis-13865	4	1	in	in	ADP
fcis-13865	4	2	complex	complex	ADJ
fcis-13865	4	3	real	real	ADJ
fcis-13865	4	4	-	-	PUNCT
fcis-13865	4	5	world	world	NOUN
fcis-13865	4	6	network	network	NOUN
fcis-13865	4	7	environments	environment	NOUN
fcis-13865	4	8	,	,	PUNCT
fcis-13865	4	9	differentiating	differentiate	VERB
fcis-13865	4	10	ddos	ddo	NOUN
fcis-13865	4	11	attack	attack	NOUN
fcis-13865	4	12	traffic	traffic	NOUN
fcis-13865	4	13	from	from	ADP
fcis-13865	4	14	normal	normal	ADJ
fcis-13865	4	15	traffic	traffic	NOUN
fcis-13865	4	16	is	be	AUX
fcis-13865	4	17	a	a	DET
fcis-13865	4	18	challenging	challenging	ADJ
fcis-13865	4	19	task	task	NOUN
fcis-13865	4	20	,	,	PUNCT
fcis-13865	4	21	making	make	VERB
fcis-13865	4	22	it	it	PRON
fcis-13865	4	23	significant	significant	ADJ
fcis-13865	4	24	to	to	PART
fcis-13865	4	25	effectively	effectively	ADV
fcis-13865	4	26	distinguish	distinguish	VERB
fcis-13865	4	27	between	between	ADP
fcis-13865	4	28	attack	attack	NOUN
fcis-13865	4	29	types	type	NOUN
fcis-13865	4	30	in	in	ADP
fcis-13865	4	31	order	order	NOUN
fcis-13865	4	32	to	to	PART
fcis-13865	4	33	resist	resist	VERB
fcis-13865	4	34	ddos	ddo	NOUN
fcis-13865	4	35	attacks	attack	NOUN
fcis-13865	4	36	.	.	PUNCT
fcis-13865	5	1	however	however	ADV
fcis-13865	5	2	,	,	PUNCT
fcis-13865	5	3	traditional	traditional	ADJ
fcis-13865	5	4	ddos	ddo	NOUN
fcis-13865	5	5	attack	attack	NOUN
fcis-13865	5	6	detection	detection	NOUN
fcis-13865	5	7	methods	method	NOUN
fcis-13865	5	8	have	have	VERB
fcis-13865	5	9	certain	certain	ADJ
fcis-13865	5	10	limitations	limitation	NOUN
fcis-13865	5	11	in	in	ADP
fcis-13865	5	12	terms	term	NOUN
fcis-13865	5	13	of	of	ADP
fcis-13865	5	14	data	datum	NOUN
fcis-13865	5	15	preprocessing	preprocessing	NOUN
fcis-13865	5	16	and	and	CCONJ
fcis-13865	5	17	detection	detection	NOUN
fcis-13865	5	18	efficiency	efficiency	NOUN
fcis-13865	5	19	.	.	PUNCT
fcis-13865	6	1	in	in	ADP
fcis-13865	6	2	this	this	DET
fcis-13865	6	3	paper	paper	NOUN
fcis-13865	6	4	,	,	PUNCT
fcis-13865	6	5	we	we	PRON
fcis-13865	6	6	propose	propose	VERB
fcis-13865	6	7	a	a	DET
fcis-13865	6	8	lightweight	lightweight	ADJ
fcis-13865	6	9	framework	framework	NOUN
fcis-13865	6	10	based	base	VERB
fcis-13865	6	11	on	on	ADP
fcis-13865	6	12	deep	deep	ADJ
fcis-13865	6	13	learning	learning	NOUN
fcis-13865	6	14	called	call	VERB
fcis-13865	6	15	sae	sae	PROPN
fcis-13865	6	16	-	-	PROPN
fcis-13865	6	17	cnn	cnn	PROPN
fcis-13865	6	18	-	-	PUNCT
fcis-13865	6	19	detection	detection	NOUN
fcis-13865	6	20	(	(	PUNCT
fcis-13865	6	21	scd	scd	NOUN
fcis-13865	6	22	)	)	PUNCT
fcis-13865	6	23	,	,	PUNCT
fcis-13865	6	24	which	which	PRON
fcis-13865	6	25	combines	combine	VERB
fcis-13865	6	26	stacked	stack	VERB
fcis-13865	6	27	autoencoder	autoencoder	NOUN
fcis-13865	6	28	network	network	NOUN
fcis-13865	6	29	(	(	PUNCT
fcis-13865	6	30	sae	sae	PROPN
fcis-13865	6	31	)	)	PUNCT
fcis-13865	6	32	and	and	CCONJ
fcis-13865	6	33	convolutional	convolutional	ADJ
fcis-13865	6	34	neural	neural	ADJ
fcis-13865	6	35	network	network	NOUN
fcis-13865	6	36	(	(	PUNCT
fcis-13865	6	37	cnn	cnn	PROPN
fcis-13865	6	38	)	)	PUNCT
fcis-13865	6	39	for	for	ADP
fcis-13865	6	40	ddos	ddos	NOUN
fcis-13865	6	41	attacks	attack	NOUN
fcis-13865	6	42	detection	detection	NOUN
fcis-13865	6	43	.	.	PUNCT
fcis-13865	7	1	the	the	DET
fcis-13865	7	2	cic	cic	PROPN
fcis-13865	7	3	-	-	PUNCT
fcis-13865	7	4	ddos2019	ddos2019	VERB
fcis-13865	7	5	dataset	dataset	NOUN
fcis-13865	7	6	is	be	AUX
fcis-13865	7	7	used	use	VERB
fcis-13865	7	8	to	to	PART
fcis-13865	7	9	simulate	simulate	VERB
fcis-13865	7	10	network	network	NOUN
fcis-13865	7	11	traffic	traffic	NOUN
fcis-13865	7	12	that	that	PRON
fcis-13865	7	13	has	have	AUX
fcis-13865	7	14	suffered	suffer	VERB
fcis-13865	7	15	from	from	ADP
fcis-13865	7	16	ddos	ddos	NOUN
fcis-13865	7	17	attacks	attack	NOUN
fcis-13865	7	18	,	,	PUNCT
fcis-13865	7	19	and	and	CCONJ
fcis-13865	7	20	this	this	DET
fcis-13865	7	21	system	system	NOUN
fcis-13865	7	22	employs	employ	VERB
fcis-13865	7	23	adaptive	adaptive	ADJ
fcis-13865	7	24	preprocessing	preprocessing	NOUN
fcis-13865	7	25	techniques	technique	NOUN
fcis-13865	7	26	for	for	ADP
fcis-13865	7	27	the	the	DET
fcis-13865	7	28	dataset	dataset	NOUN
fcis-13865	7	29	.	.	PUNCT
fcis-13865	8	1	the	the	DET
fcis-13865	8	2	results	result	NOUN
fcis-13865	8	3	demonstrate	demonstrate	VERB
fcis-13865	8	4	that	that	SCONJ
fcis-13865	8	5	multi	multi	ADJ
fcis-13865	8	6	-	-	ADJ
fcis-13865	8	7	classification	classification	ADJ
fcis-13865	8	8	experiment	experiment	NOUN
fcis-13865	8	9	achieves	achieve	VERB
fcis-13865	8	10	an	an	DET
fcis-13865	8	11	accuracy	accuracy	NOUN
fcis-13865	8	12	of	of	ADP
fcis-13865	8	13	97.2	97.2	NUM
fcis-13865	8	14	%	%	NOUN
fcis-13865	8	15	for	for	ADP
fcis-13865	8	16	ddos	ddos	NOUN
fcis-13865	8	17	attack	attack	NOUN
fcis-13865	8	18	types	type	NOUN
fcis-13865	8	19	,	,	PUNCT
fcis-13865	8	20	while	while	SCONJ
fcis-13865	8	21	the	the	DET
fcis-13865	8	22	binary	binary	PROPN
fcis-13865	8	23	classification	classification	NOUN
fcis-13865	8	24	experiment	experiment	NOUN
fcis-13865	8	25	achieves	achieve	VERB
fcis-13865	8	26	an	an	DET
fcis-13865	8	27	accuracy	accuracy	NOUN
fcis-13865	8	28	of	of	ADP
fcis-13865	8	29	99.1	99.1	NUM
fcis-13865	8	30	%	%	NOUN
fcis-13865	8	31	.	.	PUNCT
fcis-13865	9	1	keywords	keyword	NOUN
fcis-13865	9	2	:	:	PUNCT
fcis-13865	9	3	distributed	distribute	VERB
fcis-13865	9	4	denial	denial	NOUN
fcis-13865	9	5	of	of	ADP
fcis-13865	9	6	service	service	NOUN
fcis-13865	9	7	;	;	PUNCT
fcis-13865	9	8	deep	deep	ADJ
fcis-13865	9	9	learning	learning	NOUN
fcis-13865	9	10	;	;	PUNCT
fcis-13865	9	11	stacked	stack	VERB
fcis-13865	9	12	autoencoder	autoencoder	NOUN
fcis-13865	9	13	network	network	NOUN
fcis-13865	9	14	;	;	PUNCT
fcis-13865	9	15	convolutional	convolutional	ADJ
fcis-13865	9	16	neural	neural	ADJ
fcis-13865	9	17	network	network	NOUN
fcis-13865	9	18	.	.	PUNCT
fcis-13865	10	1	1	1	X
fcis-13865	10	2	.	.	X
fcis-13865	10	3	introduction	introduction	NOUN
fcis-13865	10	4	the	the	DET
fcis-13865	10	5	ddos	ddos	NOUN
fcis-13865	10	6	attack	attack	NOUN
fcis-13865	10	7	is	be	AUX
fcis-13865	10	8	a	a	DET
fcis-13865	10	9	highly	highly	ADV
fcis-13865	10	10	damaging	damaging	ADJ
fcis-13865	10	11	network	network	NOUN
fcis-13865	10	12	attack	attack	NOUN
fcis-13865	10	13	that	that	PRON
fcis-13865	10	14	employs	employ	VERB
fcis-13865	10	15	multiple	multiple	ADJ
fcis-13865	10	16	types	type	NOUN
fcis-13865	10	17	of	of	ADP
fcis-13865	10	18	attacks	attack	NOUN
fcis-13865	10	19	and	and	CCONJ
fcis-13865	10	20	coordinated	coordinated	ADJ
fcis-13865	10	21	efforts	effort	NOUN
fcis-13865	10	22	on	on	ADP
fcis-13865	10	23	a	a	DET
fcis-13865	10	24	large	large	ADJ
fcis-13865	10	25	scale	scale	NOUN
fcis-13865	10	26	.	.	PUNCT
fcis-13865	11	1	attackers	attacker	NOUN
fcis-13865	11	2	leverage	leverage	VERB
fcis-13865	11	3	a	a	DET
fcis-13865	11	4	large	large	ADJ
fcis-13865	11	5	number	number	NOUN
fcis-13865	11	6	of	of	ADP
fcis-13865	11	7	compromised	compromise	VERB
fcis-13865	11	8	hosts	host	NOUN
fcis-13865	11	9	,	,	PUNCT
fcis-13865	11	10	also	also	ADV
fcis-13865	11	11	known	know	VERB
fcis-13865	11	12	as	as	ADP
fcis-13865	11	13	“	"	PUNCT
fcis-13865	11	14	zombies	zombie	NOUN
fcis-13865	11	15	”	"	PUNCT
fcis-13865	11	16	,	,	PUNCT
fcis-13865	11	17	to	to	PART
fcis-13865	11	18	launch	launch	VERB
fcis-13865	11	19	simultaneous	simultaneous	ADJ
fcis-13865	11	20	ddos	ddo	NOUN
fcis-13865	11	21	attacks	attack	NOUN
fcis-13865	11	22	against	against	ADP
fcis-13865	11	23	the	the	DET
fcis-13865	11	24	target	target	NOUN
fcis-13865	11	25	system	system	NOUN
fcis-13865	11	26	.	.	PUNCT
fcis-13865	12	1	ddos	ddo	NOUN
fcis-13865	12	2	attacks	attack	NOUN
fcis-13865	12	3	can	can	AUX
fcis-13865	12	4	cause	cause	VERB
fcis-13865	12	5	network	network	NOUN
fcis-13865	12	6	congestion	congestion	NOUN
fcis-13865	12	7	,	,	PUNCT
fcis-13865	12	8	system	system	NOUN
fcis-13865	12	9	crashes	crash	NOUN
fcis-13865	12	10	,	,	PUNCT
fcis-13865	12	11	and	and	CCONJ
fcis-13865	12	12	exhaustion	exhaustion	NOUN
fcis-13865	12	13	of	of	ADP
fcis-13865	12	14	input	input	NOUN
fcis-13865	12	15	/	/	SYM
fcis-13865	12	16	output	output	NOUN
fcis-13865	12	17	bandwidth	bandwidth	NOUN
fcis-13865	12	18	for	for	ADP
fcis-13865	12	19	databases	database	NOUN
fcis-13865	12	20	and	and	CCONJ
fcis-13865	12	21	servers	server	NOUN
fcis-13865	12	22	.	.	PUNCT
fcis-13865	13	1	this	this	DET
fcis-13865	13	2	security	security	NOUN
fcis-13865	13	3	hazard	hazard	NOUN
fcis-13865	13	4	has	have	AUX
fcis-13865	13	5	become	become	VERB
fcis-13865	13	6	increasingly	increasingly	ADV
fcis-13865	13	7	prevalent	prevalent	ADJ
fcis-13865	13	8	in	in	ADP
fcis-13865	13	9	recent	recent	ADJ
fcis-13865	13	10	years	year	NOUN
fcis-13865	13	11	,	,	PUNCT
fcis-13865	13	12	particularly	particularly	ADV
fcis-13865	13	13	as	as	ADP
fcis-13865	13	14	a	a	DET
fcis-13865	13	15	result	result	NOUN
fcis-13865	13	16	of	of	ADP
fcis-13865	13	17	the	the	DET
fcis-13865	13	18	widespread	widespread	ADJ
fcis-13865	13	19	adoption	adoption	NOUN
fcis-13865	13	20	of	of	ADP
fcis-13865	13	21	cloud	cloud	NOUN
fcis-13865	13	22	technology	technology	NOUN
fcis-13865	13	23	by	by	ADP
fcis-13865	13	24	businesses	business	NOUN
fcis-13865	13	25	,	,	PUNCT
fcis-13865	13	26	coupled	couple	VERB
fcis-13865	13	27	with	with	ADP
fcis-13865	13	28	the	the	DET
fcis-13865	13	29	proliferation	proliferation	NOUN
fcis-13865	13	30	of	of	ADP
fcis-13865	13	31	insecure	insecure	ADJ
fcis-13865	13	32	internet	internet	NOUN
fcis-13865	13	33	of	of	ADP
fcis-13865	13	34	things	thing	NOUN
fcis-13865	13	35	(	(	PUNCT
fcis-13865	13	36	iot	iot	NOUN
fcis-13865	13	37	)	)	PUNCT
fcis-13865	13	38	devices	device	NOUN
fcis-13865	13	39	and	and	CCONJ
fcis-13865	13	40	zombie	zombie	NOUN
fcis-13865	13	41	networks	network	NOUN
fcis-13865	13	42	.	.	PUNCT
fcis-13865	14	1	ddos	ddo	NOUN
fcis-13865	14	2	attacks	attack	NOUN
fcis-13865	14	3	are	be	AUX
fcis-13865	14	4	becoming	become	VERB
fcis-13865	14	5	more	more	ADV
fcis-13865	14	6	and	and	CCONJ
fcis-13865	14	7	more	more	ADV
fcis-13865	14	8	severe	severe	ADJ
fcis-13865	14	9	in	in	ADP
fcis-13865	14	10	terms	term	NOUN
fcis-13865	14	11	of	of	ADP
fcis-13865	14	12	their	their	PRON
fcis-13865	14	13	scale	scale	NOUN
fcis-13865	14	14	,	,	PUNCT
fcis-13865	14	15	frequency	frequency	NOUN
fcis-13865	14	16	,	,	PUNCT
fcis-13865	14	17	and	and	CCONJ
fcis-13865	14	18	intricacy	intricacy	ADJ
fcis-13865	14	19	,	,	PUNCT
fcis-13865	14	20	thereby	thereby	ADV
fcis-13865	14	21	posing	pose	VERB
fcis-13865	14	22	a	a	DET
fcis-13865	14	23	global	global	ADJ
fcis-13865	14	24	challenge	challenge	NOUN
fcis-13865	14	25	for	for	ADP
fcis-13865	14	26	enterprises	enterprise	NOUN
fcis-13865	14	27	from	from	ADP
fcis-13865	14	28	a	a	DET
fcis-13865	14	29	security	security	NOUN
fcis-13865	14	30	standpoint	standpoint	NOUN
fcis-13865	14	31	.	.	PUNCT
fcis-13865	15	1	in	in	ADP
fcis-13865	15	2	march	march	PROPN
fcis-13865	15	3	2022	2022	NUM
fcis-13865	15	4	,	,	PUNCT
fcis-13865	15	5	russian	russian	ADJ
fcis-13865	15	6	companies	company	NOUN
fcis-13865	15	7	and	and	CCONJ
fcis-13865	15	8	corporate	corporate	ADJ
fcis-13865	15	9	websites	website	NOUN
fcis-13865	15	10	suffered	suffer	VERB
fcis-13865	15	11	a	a	DET
fcis-13865	15	12	7	7	NUM
fcis-13865	15	13	-	-	ADJ
fcis-13865	15	14	fold	fold	ADJ
fcis-13865	15	15	surge	surge	NOUN
fcis-13865	15	16	in	in	ADP
fcis-13865	15	17	the	the	DET
fcis-13865	15	18	incidence	incidence	NOUN
fcis-13865	15	19	of	of	ADP
fcis-13865	15	20	ddos	ddos	NOUN
fcis-13865	15	21	attacks	attack	NOUN
fcis-13865	15	22	,	,	PUNCT
fcis-13865	15	23	with	with	ADP
fcis-13865	15	24	the	the	DET
fcis-13865	15	25	most	most	ADV
fcis-13865	15	26	prolonged	prolonged	ADJ
fcis-13865	15	27	attack	attack	NOUN
fcis-13865	15	28	lasting	last	VERB
fcis-13865	15	29	for	for	ADP
fcis-13865	15	30	145	145	NUM
fcis-13865	15	31	hours	hour	NOUN
fcis-13865	15	32	,	,	PUNCT
fcis-13865	15	33	resulting	result	VERB
fcis-13865	15	34	in	in	ADP
fcis-13865	15	35	considerable	considerable	ADJ
fcis-13865	15	36	damage	damage	NOUN
fcis-13865	15	37	.	.	PUNCT
fcis-13865	16	1	enterprises	enterprise	NOUN
fcis-13865	16	2	with	with	ADP
fcis-13865	16	3	data	datum	NOUN
fcis-13865	16	4	centers	center	NOUN
fcis-13865	16	5	,	,	PUNCT
fcis-13865	16	6	public	public	ADJ
fcis-13865	16	7	cloud	cloud	NOUN
fcis-13865	16	8	service	service	NOUN
fcis-13865	16	9	providers	provider	NOUN
fcis-13865	16	10	,	,	PUNCT
fcis-13865	16	11	internet	internet	NOUN
fcis-13865	16	12	infrastructure	infrastructure	NOUN
fcis-13865	16	13	service	service	NOUN
fcis-13865	16	14	providers	provider	NOUN
fcis-13865	16	15	such	such	ADJ
fcis-13865	16	16	as	as	ADP
fcis-13865	16	17	dns	dns	NOUN
fcis-13865	16	18	providers	provider	NOUN
fcis-13865	16	19	,	,	PUNCT
fcis-13865	16	20	emerging	emerge	VERB
fcis-13865	16	21	game	game	NOUN
fcis-13865	16	22	service	service	NOUN
fcis-13865	16	23	providers	provider	NOUN
fcis-13865	16	24	,	,	PUNCT
fcis-13865	16	25	and	and	CCONJ
fcis-13865	16	26	basic	basic	ADJ
fcis-13865	16	27	government	government	NOUN
fcis-13865	16	28	network	network	NOUN
fcis-13865	16	29	industries	industry	NOUN
fcis-13865	16	30	are	be	AUX
fcis-13865	16	31	all	all	PRON
fcis-13865	16	32	prime	prime	ADJ
fcis-13865	16	33	targets	target	NOUN
fcis-13865	16	34	for	for	ADP
fcis-13865	16	35	ddos	ddos	NOUN
fcis-13865	16	36	attacks	attack	NOUN
fcis-13865	16	37	.	.	PUNCT
fcis-13865	17	1	the	the	DET
fcis-13865	17	2	variety	variety	NOUN
fcis-13865	17	3	of	of	ADP
fcis-13865	17	4	ddos	ddos	NOUN
fcis-13865	17	5	attack	attack	NOUN
fcis-13865	17	6	modes	mode	NOUN
fcis-13865	17	7	makes	make	VERB
fcis-13865	17	8	them	they	PRON
fcis-13865	17	9	difficult	difficult	ADJ
fcis-13865	17	10	to	to	PART
fcis-13865	17	11	detect	detect	VERB
fcis-13865	17	12	,	,	PUNCT
fcis-13865	17	13	leading	lead	VERB
fcis-13865	17	14	to	to	ADP
fcis-13865	17	15	further	further	ADJ
fcis-13865	17	16	proliferation	proliferation	NOUN
fcis-13865	17	17	.	.	PUNCT
fcis-13865	18	1	several	several	ADJ
fcis-13865	18	2	researchers	researcher	NOUN
fcis-13865	18	3	have	have	AUX
fcis-13865	18	4	endeavored	endeavor	VERB
fcis-13865	18	5	to	to	PART
fcis-13865	18	6	utilize	utilize	VERB
fcis-13865	18	7	machine	machine	NOUN
fcis-13865	18	8	learning	learn	VERB
fcis-13865	18	9	techniques	technique	NOUN
fcis-13865	18	10	for	for	ADP
fcis-13865	18	11	the	the	DET
fcis-13865	18	12	identification	identification	NOUN
fcis-13865	18	13	of	of	ADP
fcis-13865	18	14	ddos	ddos	NOUN
fcis-13865	18	15	attacks	attack	NOUN
fcis-13865	18	16	[	[	X
fcis-13865	18	17	13	13	NUM
fcis-13865	18	18	]	]	PUNCT
fcis-13865	18	19	.	.	PUNCT
fcis-13865	19	1	while	while	SCONJ
fcis-13865	19	2	these	these	DET
fcis-13865	19	3	methods	method	NOUN
fcis-13865	19	4	have	have	AUX
fcis-13865	19	5	shown	show	VERB
fcis-13865	19	6	improved	improved	ADJ
fcis-13865	19	7	performance	performance	NOUN
fcis-13865	19	8	compared	compare	VERB
fcis-13865	19	9	to	to	ADP
fcis-13865	19	10	statistical	statistical	ADJ
fcis-13865	19	11	techniques	technique	NOUN
fcis-13865	19	12	,	,	PUNCT
fcis-13865	19	13	they	they	PRON
fcis-13865	19	14	still	still	ADV
fcis-13865	19	15	have	have	VERB
fcis-13865	19	16	some	some	DET
fcis-13865	19	17	limitations	limitation	NOUN
fcis-13865	19	18	.	.	PUNCT
fcis-13865	20	1	these	these	DET
fcis-13865	20	2	limitations	limitation	NOUN
fcis-13865	20	3	include	include	VERB
fcis-13865	20	4	the	the	DET
fcis-13865	20	5	need	need	NOUN
fcis-13865	20	6	for	for	ADP
fcis-13865	20	7	extensive	extensive	ADJ
fcis-13865	20	8	prior	prior	ADJ
fcis-13865	20	9	knowledge	knowledge	NOUN
fcis-13865	20	10	and	and	CCONJ
fcis-13865	20	11	experience	experience	NOUN
fcis-13865	20	12	in	in	ADP
fcis-13865	20	13	network	network	NOUN
fcis-13865	20	14	operations	operation	NOUN
fcis-13865	20	15	,	,	PUNCT
fcis-13865	20	16	intricate	intricate	ADJ
fcis-13865	20	17	human	human	ADJ
fcis-13865	20	18	extraction	extraction	NOUN
fcis-13865	20	19	of	of	ADP
fcis-13865	20	20	appropriate	appropriate	ADJ
fcis-13865	20	21	statistical	statistical	ADJ
fcis-13865	20	22	features	feature	NOUN
fcis-13865	20	23	during	during	ADP
fcis-13865	20	24	ddos	ddos	NOUN
fcis-13865	20	25	detection	detection	NOUN
fcis-13865	20	26	,	,	PUNCT
fcis-13865	20	27	and	and	CCONJ
fcis-13865	20	28	limitations	limitation	NOUN
fcis-13865	20	29	in	in	ADP
fcis-13865	20	30	detecting	detect	VERB
fcis-13865	20	31	a	a	DET
fcis-13865	20	32	variety	variety	NOUN
fcis-13865	20	33	of	of	ADP
fcis-13865	20	34	ddos	ddo	NOUN
fcis-13865	20	35	attack	attack	NOUN
fcis-13865	20	36	types	type	NOUN
fcis-13865	20	37	.	.	PUNCT
fcis-13865	21	1	in	in	ADP
fcis-13865	21	2	addition	addition	NOUN
fcis-13865	21	3	,	,	PUNCT
fcis-13865	21	4	machine	machine	NOUN
fcis-13865	21	5	learning	learning	NOUN
fcis-13865	21	6	methods	method	NOUN
fcis-13865	21	7	require	require	VERB
fcis-13865	21	8	model	model	NOUN
fcis-13865	21	9	updating	update	VERB
fcis-13865	21	10	to	to	ADP
fcis-13865	21	11	accommodate	accommodate	ADJ
fcis-13865	21	12	changes	change	NOUN
fcis-13865	21	13	in	in	ADP
fcis-13865	21	14	the	the	DET
fcis-13865	21	15	system	system	NOUN
fcis-13865	21	16	and	and	CCONJ
fcis-13865	21	17	attack	attack	NOUN
fcis-13865	21	18	vectors	vector	NOUN
fcis-13865	21	19	.	.	PUNCT
fcis-13865	22	1	furthermore	furthermore	ADV
fcis-13865	22	2	,	,	PUNCT
fcis-13865	22	3	classical	classical	ADJ
fcis-13865	22	4	machine	machine	NOUN
fcis-13865	22	5	learning	learn	VERB
fcis-13865	22	6	classification	classification	NOUN
fcis-13865	22	7	techniques	technique	NOUN
fcis-13865	22	8	have	have	VERB
fcis-13865	22	9	limited	limit	VERB
fcis-13865	22	10	feature	feature	NOUN
fcis-13865	22	11	extraction	extraction	NOUN
fcis-13865	22	12	capabilities	capability	NOUN
fcis-13865	22	13	,	,	PUNCT
fcis-13865	22	14	making	make	VERB
fcis-13865	22	15	them	they	PRON
fcis-13865	22	16	complicated	complicated	ADJ
fcis-13865	22	17	to	to	PART
fcis-13865	22	18	handle	handle	VERB
fcis-13865	22	19	large	large	ADJ
fcis-13865	22	20	volumes	volume	NOUN
fcis-13865	22	21	of	of	ADP
fcis-13865	22	22	traffic	traffic	NOUN
fcis-13865	22	23	data	datum	NOUN
fcis-13865	22	24	.	.	PUNCT
fcis-13865	23	1	recently	recently	ADV
fcis-13865	23	2	,	,	PUNCT
fcis-13865	23	3	deep	deep	ADJ
fcis-13865	23	4	learning	learning	NOUN
fcis-13865	23	5	(	(	PUNCT
fcis-13865	23	6	dl	dl	INTJ
fcis-13865	23	7	)	)	PUNCT
fcis-13865	23	8	has	have	AUX
fcis-13865	23	9	achieved	achieve	VERB
fcis-13865	23	10	significant	significant	ADJ
fcis-13865	23	11	success	success	NOUN
fcis-13865	23	12	in	in	ADP
fcis-13865	23	13	various	various	ADJ
fcis-13865	23	14	application	application	NOUN
fcis-13865	23	15	fields	field	NOUN
fcis-13865	23	16	,	,	PUNCT
fcis-13865	23	17	such	such	ADJ
fcis-13865	23	18	as	as	ADP
fcis-13865	23	19	facial	facial	ADJ
fcis-13865	23	20	recognition	recognition	NOUN
fcis-13865	23	21	,	,	PUNCT
fcis-13865	23	22	image	image	NOUN
fcis-13865	23	23	processing	processing	NOUN
fcis-13865	23	24	,	,	PUNCT
fcis-13865	23	25	and	and	CCONJ
fcis-13865	23	26	natural	natural	ADJ
fcis-13865	23	27	language	language	NOUN
fcis-13865	23	28	translation	translation	NOUN
fcis-13865	23	29	.	.	PUNCT
fcis-13865	24	1	dl	dl	PROPN
fcis-13865	24	2	can	can	AUX
fcis-13865	24	3	extract	extract	VERB
fcis-13865	24	4	raw	raw	ADJ
fcis-13865	24	5	features	feature	NOUN
fcis-13865	24	6	from	from	ADP
fcis-13865	24	7	data	datum	NOUN
fcis-13865	24	8	without	without	ADP
fcis-13865	24	9	any	any	DET
fcis-13865	24	10	human	human	ADJ
fcis-13865	24	11	intervention	intervention	NOUN
fcis-13865	24	12	[	[	X
fcis-13865	24	13	4	4	NUM
fcis-13865	24	14	]	]	PUNCT
fcis-13865	24	15	.	.	PUNCT
fcis-13865	25	1	dl	dl	PROPN
fcis-13865	25	2	models	model	NOUN
fcis-13865	25	3	can	can	AUX
fcis-13865	25	4	automatically	automatically	ADV
fcis-13865	25	5	search	search	VERB
fcis-13865	25	6	for	for	ADP
fcis-13865	25	7	correlations	correlation	NOUN
fcis-13865	25	8	within	within	ADP
fcis-13865	25	9	the	the	DET
fcis-13865	25	10	raw	raw	ADJ
fcis-13865	25	11	data	datum	NOUN
fcis-13865	25	12	,	,	PUNCT
fcis-13865	25	13	to	to	PART
fcis-13865	25	14	meet	meet	VERB
fcis-13865	25	15	high	high	ADJ
fcis-13865	25	16	performance	performance	NOUN
fcis-13865	25	17	requirements	requirement	NOUN
fcis-13865	25	18	.	.	PUNCT
fcis-13865	26	1	feature	feature	NOUN
fcis-13865	26	2	extraction	extraction	NOUN
fcis-13865	26	3	and	and	CCONJ
fcis-13865	26	4	selection	selection	NOUN
fcis-13865	26	5	using	use	VERB
fcis-13865	26	6	dl	dl	PROPN
fcis-13865	26	7	methods	method	NOUN
fcis-13865	26	8	are	be	AUX
fcis-13865	26	9	automatically	automatically	ADV
fcis-13865	26	10	accomplished	accomplish	VERB
fcis-13865	26	11	during	during	ADP
fcis-13865	26	12	training	training	NOUN
fcis-13865	26	13	process	process	NOUN
fcis-13865	26	14	.	.	PUNCT
fcis-13865	27	1	this	this	DET
fcis-13865	27	2	feature	feature	NOUN
fcis-13865	27	3	makes	make	VERB
fcis-13865	27	4	dl	dl	NOUN
fcis-13865	27	5	-	-	PUNCT
fcis-13865	27	6	based	base	VERB
fcis-13865	27	7	methods	method	NOUN
fcis-13865	27	8	an	an	DET
fcis-13865	27	9	ideal	ideal	ADJ
fcis-13865	27	10	approach	approach	NOUN
fcis-13865	27	11	for	for	ADP
fcis-13865	27	12	detecting	detect	VERB
fcis-13865	27	13	ddos	ddo	NOUN
fcis-13865	27	14	attacks	attack	NOUN
fcis-13865	27	15	.	.	PUNCT
fcis-13865	28	1	another	another	DET
fcis-13865	28	2	characteristic	characteristic	NOUN
fcis-13865	28	3	of	of	ADP
fcis-13865	28	4	dl	dl	NOUN
fcis-13865	28	5	-	-	PUNCT
fcis-13865	28	6	based	base	VERB
fcis-13865	28	7	methods	method	NOUN
fcis-13865	28	8	is	be	AUX
fcis-13865	28	9	that	that	SCONJ
fcis-13865	28	10	,	,	PUNCT
fcis-13865	28	11	compared	compare	VERB
fcis-13865	28	12	to	to	ADP
fcis-13865	28	13	traditional	traditional	ADJ
fcis-13865	28	14	machine	machine	NOUN
fcis-13865	28	15	learning	learning	NOUN
fcis-13865	28	16	methods	method	NOUN
fcis-13865	28	17	such	such	ADJ
fcis-13865	28	18	as	as	ADP
fcis-13865	28	19	random	random	ADJ
fcis-13865	28	20	forests	forest	NOUN
fcis-13865	28	21	,	,	PUNCT
fcis-13865	28	22	support	support	VERB
fcis-13865	28	23	vector	vector	NOUN
fcis-13865	28	24	machines	machine	NOUN
fcis-13865	28	25	,	,	PUNCT
fcis-13865	28	26	and	and	CCONJ
fcis-13865	28	27	knn	knn	PROPN
fcis-13865	28	28	,	,	PUNCT
fcis-13865	28	29	deep	deep	ADJ
fcis-13865	28	30	learning	learning	NOUN
fcis-13865	28	31	has	have	VERB
fcis-13865	28	32	stronger	strong	ADJ
fcis-13865	28	33	learning	learning	NOUN
fcis-13865	28	34	ability	ability	NOUN
fcis-13865	28	35	.	.	PUNCT
fcis-13865	29	1	therefore	therefore	ADV
fcis-13865	29	2	,	,	PUNCT
fcis-13865	29	3	they	they	PRON
fcis-13865	29	4	need	need	VERB
fcis-13865	29	5	to	to	PART
fcis-13865	29	6	learn	learn	VERB
fcis-13865	29	7	highly	highly	ADV
fcis-13865	29	8	complex	complex	ADJ
fcis-13865	29	9	patterns	pattern	NOUN
fcis-13865	29	10	to	to	PART
fcis-13865	29	11	achieve	achieve	VERB
fcis-13865	29	12	higher	high	ADJ
fcis-13865	29	13	accuracy	accuracy	NOUN
fcis-13865	29	14	and	and	CCONJ
fcis-13865	29	15	more	more	ADJ
fcis-13865	29	16	functionality	functionality	NOUN
fcis-13865	29	17	(	(	PUNCT
fcis-13865	29	18	such	such	ADJ
fcis-13865	29	19	as	as	ADP
fcis-13865	29	20	key	key	ADJ
fcis-13865	29	21	link	link	NOUN
fcis-13865	29	22	analysis	analysis	NOUN
fcis-13865	29	23	and	and	CCONJ
fcis-13865	29	24	attack	attack	NOUN
fcis-13865	29	25	types	type	NOUN
fcis-13865	29	26	classification	classification	NOUN
fcis-13865	29	27	)	)	PUNCT
fcis-13865	29	28	within	within	ADP
fcis-13865	29	29	a	a	DET
fcis-13865	29	30	single	single	ADJ
fcis-13865	29	31	framework	framework	NOUN
fcis-13865	29	32	.	.	PUNCT
fcis-13865	30	1	considering	consider	VERB
fcis-13865	30	2	these	these	DET
fcis-13865	30	3	two	two	NUM
fcis-13865	30	4	characteristics	characteristic	NOUN
fcis-13865	30	5	,	,	PUNCT
fcis-13865	30	6	dl	dl	PROPN
fcis-13865	30	7	model	model	NOUN
fcis-13865	30	8	in	in	ADP
fcis-13865	30	9	this	this	DET
fcis-13865	30	10	paper	paper	NOUN
fcis-13865	30	11	consists	consist	VERB
fcis-13865	30	12	of	of	ADP
fcis-13865	30	13	two	two	NUM
fcis-13865	30	14	stages	stage	NOUN
fcis-13865	30	15	:	:	PUNCT
fcis-13865	30	16	feature	feature	NOUN
fcis-13865	30	17	processing	processing	NOUN
fcis-13865	30	18	and	and	CCONJ
fcis-13865	30	19	model	model	NOUN
fcis-13865	30	20	detection	detection	NOUN
fcis-13865	30	21	.	.	PUNCT
fcis-13865	31	1	the	the	DET
fcis-13865	31	2	feature	feature	NOUN
fcis-13865	31	3	processing	processing	NOUN
fcis-13865	31	4	stage	stage	NOUN
fcis-13865	31	5	groups	group	NOUN
fcis-13865	31	6	and	and	CCONJ
fcis-13865	31	7	formats	format	VERB
fcis-13865	31	8	the	the	DET
fcis-13865	31	9	input	input	NOUN
fcis-13865	31	10	data	datum	NOUN
fcis-13865	31	11	,	,	PUNCT
fcis-13865	31	12	simplifying	simplify	VERB
fcis-13865	31	13	the	the	DET
fcis-13865	31	14	complex	complex	ADJ
fcis-13865	31	15	and	and	CCONJ
fcis-13865	31	16	immense	immense	ADJ
fcis-13865	31	17	feature	feature	NOUN
fcis-13865	31	18	selection	selection	NOUN
fcis-13865	31	19	process	process	NOUN
fcis-13865	31	20	in	in	ADP
fcis-13865	31	21	machine	machine	NOUN
fcis-13865	31	22	learning	learning	NOUN
fcis-13865	31	23	methods	method	NOUN
fcis-13865	31	24	.	.	PUNCT
fcis-13865	32	1	additionally	additionally	ADV
fcis-13865	32	2	,	,	PUNCT
fcis-13865	32	3	this	this	DET
fcis-13865	32	4	stage	stage	NOUN
fcis-13865	32	5	obtains	obtain	VERB
fcis-13865	32	6	multiple	multiple	ADJ
fcis-13865	32	7	ddos	ddo	NOUN
fcis-13865	32	8	attack	attack	NOUN
fcis-13865	32	9	vectors	vector	NOUN
fcis-13865	32	10	,	,	PUNCT
fcis-13865	32	11	solving	solve	VERB
fcis-13865	32	12	the	the	DET
fcis-13865	32	13	bottleneck	bottleneck	NOUN
fcis-13865	32	14	problem	problem	NOUN
fcis-13865	32	15	of	of	ADP
fcis-13865	32	16	processing	processing	NOUN
fcis-13865	32	17	attack	attack	NOUN
fcis-13865	32	18	vectors	vector	NOUN
fcis-13865	32	19	.	.	PUNCT
fcis-13865	33	1	the	the	DET
fcis-13865	33	2	model	model	NOUN
fcis-13865	33	3	detection	detection	NOUN
fcis-13865	33	4	stage	stage	NOUN
fcis-13865	33	5	inputs	input	VERB
fcis-13865	33	6	the	the	DET
fcis-13865	33	7	processed	process	VERB
fcis-13865	33	8	features	feature	NOUN
fcis-13865	33	9	into	into	ADP
fcis-13865	33	10	a	a	DET
fcis-13865	33	11	deep	deep	ADJ
fcis-13865	33	12	learning	learning	NOUN
fcis-13865	33	13	model	model	NOUN
fcis-13865	33	14	to	to	PART
fcis-13865	33	15	detect	detect	VERB
fcis-13865	33	16	whether	whether	SCONJ
fcis-13865	33	17	the	the	DET
fcis-13865	33	18	input	input	NOUN
fcis-13865	33	19	data	datum	NOUN
fcis-13865	33	20	grouping	grouping	NOUN
fcis-13865	33	21	is	be	AUX
fcis-13865	33	22	a	a	DET
fcis-13865	33	23	ddos	ddos	NOUN
fcis-13865	33	24	attack	attack	NOUN
fcis-13865	33	25	grouping	grouping	NOUN
fcis-13865	33	26	.	.	PUNCT
fcis-13865	34	1	the	the	DET
fcis-13865	34	2	contributions	contribution	NOUN
fcis-13865	34	3	of	of	ADP
fcis-13865	34	4	this	this	DET
fcis-13865	34	5	paper	paper	NOUN
fcis-13865	34	6	are	be	AUX
fcis-13865	34	7	as	as	SCONJ
fcis-13865	34	8	follows	follow	VERB
fcis-13865	34	9	:	:	PUNCT
fcis-13865	34	10	1	1	X
fcis-13865	34	11	)	)	PUNCT
fcis-13865	34	12	this	this	DET
fcis-13865	34	13	paper	paper	NOUN
fcis-13865	34	14	proposes	propose	VERB
fcis-13865	34	15	a	a	DET
fcis-13865	34	16	light	light	ADJ
fcis-13865	34	17	-	-	PUNCT
fcis-13865	34	18	weight	weight	NOUN
fcis-13865	34	19	classification	classification	NOUN
fcis-13865	34	20	framework	framework	NOUN
fcis-13865	34	21	based	base	VERB
fcis-13865	34	22	on	on	ADP
fcis-13865	34	23	sae	sae	PROPN
fcis-13865	34	24	-	-	PROPN
fcis-13865	34	25	cnn	cnn	PROPN
fcis-13865	34	26	for	for	ADP
fcis-13865	34	27	detection	detection	NOUN
fcis-13865	34	28	of	of	ADP
fcis-13865	34	29	ddos	ddos	NOUN
fcis-13865	34	30	attacks	attack	NOUN
fcis-13865	34	31	(	(	PUNCT
fcis-13865	34	32	scd	scd	NOUN
fcis-13865	34	33	)	)	PUNCT
fcis-13865	34	34	,	,	PUNCT
fcis-13865	34	35	which	which	PRON
fcis-13865	34	36	can	can	AUX
fcis-13865	34	37	acquire	acquire	VERB
fcis-13865	34	38	a	a	DET
fcis-13865	34	39	deep	deep	ADJ
fcis-13865	34	40	and	and	CCONJ
fcis-13865	34	41	fullranged	fullrange	VERB
fcis-13865	34	42	understanding	understanding	NOUN
fcis-13865	34	43	of	of	ADP
fcis-13865	34	44	the	the	DET
fcis-13865	34	45	network	network	NOUN
fcis-13865	34	46	traffic	traffic	NOUN
fcis-13865	34	47	data	datum	NOUN
fcis-13865	34	48	.	.	PUNCT
fcis-13865	35	1	the	the	DET
fcis-13865	35	2	proposed	propose	VERB
fcis-13865	35	3	framework	framework	NOUN
fcis-13865	35	4	’s	’s	PART
fcis-13865	35	5	classification	classification	NOUN
fcis-13865	35	6	efficiency	efficiency	NOUN
fcis-13865	35	7	is	be	AUX
fcis-13865	35	8	evaluated	evaluate	VERB
fcis-13865	35	9	on	on	ADP
fcis-13865	35	10	a	a	DET
fcis-13865	35	11	publicly	publicly	ADV
fcis-13865	35	12	available	available	ADJ
fcis-13865	35	13	dataset	dataset	NOUN
fcis-13865	35	14	,	,	PUNCT
fcis-13865	35	15	95	95	NUM
fcis-13865	35	16	demonstrating	demonstrate	VERB
fcis-13865	35	17	significant	significant	ADJ
fcis-13865	35	18	improvements	improvement	NOUN
fcis-13865	35	19	compared	compare	VERB
fcis-13865	35	20	to	to	ADP
fcis-13865	35	21	other	other	ADJ
fcis-13865	35	22	classic	classic	ADJ
fcis-13865	35	23	methods	method	NOUN
fcis-13865	35	24	.	.	PUNCT
fcis-13865	36	1	2	2	X
fcis-13865	36	2	)	)	PUNCT
fcis-13865	36	3	we	we	PRON
fcis-13865	36	4	extract	extract	VERB
fcis-13865	36	5	effective	effective	ADJ
fcis-13865	36	6	features	feature	NOUN
fcis-13865	36	7	from	from	ADP
fcis-13865	36	8	network	network	NOUN
fcis-13865	36	9	traffic	traffic	NOUN
fcis-13865	36	10	data	datum	NOUN
fcis-13865	36	11	through	through	ADP
fcis-13865	36	12	our	our	PRON
fcis-13865	36	13	preprocessing	preprocessing	NOUN
fcis-13865	36	14	technology	technology	NOUN
fcis-13865	36	15	,	,	PUNCT
fcis-13865	36	16	and	and	CCONJ
fcis-13865	36	17	then	then	ADV
fcis-13865	36	18	convert	convert	VERB
fcis-13865	36	19	them	they	PRON
fcis-13865	36	20	into	into	ADP
fcis-13865	36	21	grayscale	grayscale	NOUN
fcis-13865	36	22	images	image	NOUN
fcis-13865	36	23	.	.	PUNCT
fcis-13865	37	1	as	as	ADP
fcis-13865	37	2	an	an	DET
fcis-13865	37	3	ideal	ideal	ADJ
fcis-13865	37	4	input	input	NOUN
fcis-13865	37	5	mode	mode	NOUN
fcis-13865	37	6	for	for	ADP
fcis-13865	37	7	deep	deep	ADJ
fcis-13865	37	8	learning	learning	NOUN
fcis-13865	37	9	,	,	PUNCT
fcis-13865	37	10	its	its	PRON
fcis-13865	37	11	application	application	NOUN
fcis-13865	37	12	can	can	AUX
fcis-13865	37	13	improve	improve	VERB
fcis-13865	37	14	the	the	DET
fcis-13865	37	15	accuracy	accuracy	NOUN
fcis-13865	37	16	of	of	ADP
fcis-13865	37	17	classification	classification	NOUN
fcis-13865	37	18	and	and	CCONJ
fcis-13865	37	19	thus	thus	ADV
fcis-13865	37	20	improve	improve	VERB
fcis-13865	37	21	the	the	DET
fcis-13865	37	22	efficiency	efficiency	NOUN
fcis-13865	37	23	of	of	ADP
fcis-13865	37	24	ddos	ddos	NOUN
fcis-13865	37	25	attacks	attack	NOUN
fcis-13865	37	26	detection	detection	NOUN
fcis-13865	37	27	.	.	PUNCT
fcis-13865	38	1	2	2	X
fcis-13865	38	2	.	.	X
fcis-13865	38	3	related	relate	VERB
fcis-13865	38	4	work	work	NOUN
fcis-13865	38	5	this	this	DET
fcis-13865	38	6	section	section	NOUN
fcis-13865	38	7	highlights	highlight	VERB
fcis-13865	38	8	the	the	DET
fcis-13865	38	9	latest	late	ADJ
fcis-13865	38	10	state	state	NOUN
fcis-13865	38	11	-	-	PUNCT
fcis-13865	38	12	of	of	ADP
fcis-13865	38	13	-	-	PUNCT
fcis-13865	38	14	the	the	DET
fcis-13865	38	15	-	-	PUNCT
fcis-13865	38	16	art	art	NOUN
fcis-13865	38	17	works	work	NOUN
fcis-13865	38	18	in	in	ADP
fcis-13865	38	19	ddos	ddos	NOUN
fcis-13865	38	20	attacks	attack	NOUN
fcis-13865	38	21	detection	detection	NOUN
fcis-13865	38	22	that	that	PRON
fcis-13865	38	23	have	have	AUX
fcis-13865	38	24	been	be	AUX
fcis-13865	38	25	proposed	propose	VERB
fcis-13865	38	26	in	in	ADP
fcis-13865	38	27	recent	recent	ADJ
fcis-13865	38	28	years	year	NOUN
fcis-13865	38	29	.	.	PUNCT
fcis-13865	39	1	most	most	ADJ
fcis-13865	39	2	previous	previous	ADJ
fcis-13865	39	3	research	research	NOUN
fcis-13865	39	4	on	on	ADP
fcis-13865	39	5	ddos	ddos	NOUN
fcis-13865	39	6	attack	attack	NOUN
fcis-13865	39	7	defense	defense	NOUN
fcis-13865	39	8	techniques	technique	NOUN
fcis-13865	39	9	is	be	AUX
fcis-13865	39	10	implemented	implement	VERB
fcis-13865	39	11	using	use	VERB
fcis-13865	39	12	network	network	NOUN
fcis-13865	39	13	intrusion	intrusion	NOUN
fcis-13865	39	14	detection	detection	NOUN
fcis-13865	39	15	methods	method	NOUN
fcis-13865	39	16	[	[	X
fcis-13865	39	17	5	5	NUM
fcis-13865	39	18	]	]	PUNCT
fcis-13865	39	19	.	.	PUNCT
fcis-13865	40	1	however	however	ADV
fcis-13865	40	2	,	,	PUNCT
fcis-13865	40	3	with	with	ADP
fcis-13865	40	4	the	the	DET
fcis-13865	40	5	development	development	NOUN
fcis-13865	40	6	of	of	ADP
fcis-13865	40	7	ddos	ddo	NOUN
fcis-13865	40	8	attack	attack	NOUN
fcis-13865	40	9	techniques	technique	NOUN
fcis-13865	40	10	,	,	PUNCT
fcis-13865	40	11	the	the	DET
fcis-13865	40	12	situation	situation	NOUN
fcis-13865	40	13	of	of	ADP
fcis-13865	40	14	ddos	ddos	PROPN
fcis-13865	40	15	attack	attack	PROPN
fcis-13865	40	16	defense	defense	PROPN
fcis-13865	40	17	research	research	NOUN
fcis-13865	40	18	is	be	AUX
fcis-13865	40	19	severe	severe	ADJ
fcis-13865	40	20	.	.	PUNCT
fcis-13865	41	1	there	there	PRON
fcis-13865	41	2	are	be	VERB
fcis-13865	41	3	many	many	ADJ
fcis-13865	41	4	challenges	challenge	NOUN
fcis-13865	41	5	in	in	ADP
fcis-13865	41	6	the	the	DET
fcis-13865	41	7	detection	detection	NOUN
fcis-13865	41	8	of	of	ADP
fcis-13865	41	9	new	new	ADJ
fcis-13865	41	10	ddos	ddo	NOUN
fcis-13865	41	11	attacks	attack	NOUN
fcis-13865	41	12	,	,	PUNCT
fcis-13865	41	13	especially	especially	ADV
fcis-13865	41	14	regarding	regard	VERB
fcis-13865	41	15	network	network	NOUN
fcis-13865	41	16	traffic	traffic	NOUN
fcis-13865	41	17	processing	processing	NOUN
fcis-13865	41	18	.	.	PUNCT
fcis-13865	42	1	awan	awan	PROPN
fcis-13865	42	2	et	et	PROPN
fcis-13865	42	3	al	al	PROPN
fcis-13865	42	4	.	.	PUNCT
fcis-13865	43	1	[	[	X
fcis-13865	43	2	6	6	NUM
fcis-13865	43	3	]	]	PUNCT
fcis-13865	43	4	employs	employ	VERB
fcis-13865	43	5	two	two	NUM
fcis-13865	43	6	machine	machine	NOUN
fcis-13865	43	7	learning	learning	NOUN
fcis-13865	43	8	methods	method	NOUN
fcis-13865	43	9	,	,	PUNCT
fcis-13865	43	10	random	random	ADJ
fcis-13865	43	11	forest	forest	NOUN
fcis-13865	43	12	(	(	PUNCT
fcis-13865	43	13	rf	rf	NOUN
fcis-13865	43	14	)	)	PUNCT
fcis-13865	43	15	and	and	CCONJ
fcis-13865	43	16	multi	multi	ADJ
fcis-13865	43	17	-	-	ADJ
fcis-13865	43	18	layer	layer	ADJ
fcis-13865	43	19	perceptron	perceptron	NOUN
fcis-13865	43	20	(	(	PUNCT
fcis-13865	43	21	mlp	mlp	PROPN
fcis-13865	43	22	)	)	PUNCT
fcis-13865	43	23	,	,	PUNCT
fcis-13865	43	24	to	to	PART
fcis-13865	43	25	detect	detect	VERB
fcis-13865	43	26	denial	denial	NOUN
fcis-13865	43	27	of	of	ADP
fcis-13865	43	28	service	service	NOUN
fcis-13865	43	29	attacks	attack	NOUN
fcis-13865	43	30	through	through	ADP
fcis-13865	43	31	the	the	DET
fcis-13865	43	32	scikit	scikit	NOUN
fcis-13865	43	33	ml	ml	NOUN
fcis-13865	43	34	library	library	NOUN
fcis-13865	43	35	and	and	CCONJ
fcis-13865	43	36	the	the	DET
fcis-13865	43	37	big	big	ADJ
fcis-13865	43	38	data	datum	NOUN
fcis-13865	43	39	framework	framework	NOUN
fcis-13865	43	40	spark	spark	NOUN
fcis-13865	43	41	ml	ml	NOUN
fcis-13865	43	42	library	library	NOUN
fcis-13865	43	43	.	.	PUNCT
fcis-13865	44	1	tuan	tuan	PROPN
fcis-13865	44	2	et	et	PROPN
fcis-13865	44	3	al	al	PROPN
fcis-13865	44	4	.	.	PUNCT
fcis-13865	45	1	[	[	X
fcis-13865	45	2	7	7	X
fcis-13865	45	3	]	]	PUNCT
fcis-13865	45	4	evaluates	evaluate	VERB
fcis-13865	45	5	the	the	DET
fcis-13865	45	6	performance	performance	NOUN
fcis-13865	45	7	of	of	ADP
fcis-13865	45	8	machine	machine	NOUN
fcis-13865	45	9	learning	learning	NOUN
fcis-13865	45	10	methods	method	NOUN
fcis-13865	45	11	such	such	ADJ
fcis-13865	45	12	as	as	ADP
fcis-13865	45	13	support	support	NOUN
fcis-13865	45	14	vector	vector	NOUN
fcis-13865	45	15	machines	machine	NOUN
fcis-13865	45	16	(	(	PUNCT
fcis-13865	45	17	svm	svm	PROPN
fcis-13865	45	18	)	)	PUNCT
fcis-13865	45	19	,	,	PUNCT
fcis-13865	45	20	artificial	artificial	ADJ
fcis-13865	45	21	neural	neural	ADJ
fcis-13865	45	22	networks	network	NOUN
fcis-13865	45	23	(	(	PUNCT
fcis-13865	45	24	ann	ann	PROPN
fcis-13865	45	25	)	)	PUNCT
fcis-13865	45	26	,	,	PUNCT
fcis-13865	45	27	naive	naive	ADJ
fcis-13865	45	28	bayes	bayes	NOUN
fcis-13865	45	29	(	(	PUNCT
fcis-13865	45	30	nb	nb	NOUN
fcis-13865	45	31	)	)	PUNCT
fcis-13865	45	32	,	,	PUNCT
fcis-13865	45	33	decision	decision	NOUN
fcis-13865	45	34	trees	tree	NOUN
fcis-13865	45	35	(	(	PUNCT
fcis-13865	45	36	dt	dt	NOUN
fcis-13865	45	37	)	)	PUNCT
fcis-13865	45	38	,	,	PUNCT
fcis-13865	45	39	and	and	CCONJ
fcis-13865	45	40	unsupervised	unsupervised	ADJ
fcis-13865	45	41	learning	learning	NOUN
fcis-13865	45	42	(	(	PUNCT
fcis-13865	45	43	usml	usml	ADJ
fcis-13865	45	44	)	)	PUNCT
fcis-13865	45	45	in	in	ADP
fcis-13865	45	46	terms	term	NOUN
fcis-13865	45	47	of	of	ADP
fcis-13865	45	48	accuracy	accuracy	NOUN
fcis-13865	45	49	,	,	PUNCT
fcis-13865	45	50	false	false	ADJ
fcis-13865	45	51	alarm	alarm	NOUN
fcis-13865	45	52	rate	rate	NOUN
fcis-13865	45	53	(	(	PUNCT
fcis-13865	45	54	far	far	ADV
fcis-13865	45	55	)	)	PUNCT
fcis-13865	45	56	,	,	PUNCT
fcis-13865	45	57	sensitivity	sensitivity	NOUN
fcis-13865	45	58	,	,	PUNCT
fcis-13865	45	59	specificity	specificity	NOUN
fcis-13865	45	60	,	,	PUNCT
fcis-13865	45	61	false	false	ADJ
fcis-13865	45	62	positive	positive	ADJ
fcis-13865	45	63	rate	rate	NOUN
fcis-13865	45	64	(	(	PUNCT
fcis-13865	45	65	fpr	fpr	NOUN
fcis-13865	45	66	)	)	PUNCT
fcis-13865	45	67	,	,	PUNCT
fcis-13865	45	68	auc	auc	NOUN
fcis-13865	45	69	,	,	PUNCT
fcis-13865	45	70	and	and	CCONJ
fcis-13865	45	71	matthews	matthews	PROPN
fcis-13865	45	72	correlation	correlation	NOUN
fcis-13865	45	73	coefficient	coefficient	NOUN
fcis-13865	45	74	(	(	PUNCT
fcis-13865	45	75	mcc	mcc	NOUN
fcis-13865	45	76	)	)	PUNCT
fcis-13865	45	77	on	on	ADP
fcis-13865	45	78	the	the	DET
fcis-13865	45	79	well	well	ADV
fcis-13865	45	80	-	-	PUNCT
fcis-13865	45	81	known	know	VERB
fcis-13865	45	82	public	public	ADJ
fcis-13865	45	83	datasets	dataset	NOUN
fcis-13865	45	84	unbsnb15	unbsnb15	ADJ
fcis-13865	45	85	and	and	CCONJ
fcis-13865	45	86	kdd99	kdd99	VERB
fcis-13865	45	87	for	for	ADP
fcis-13865	45	88	detecting	detect	VERB
fcis-13865	45	89	zombie	zombie	NOUN
fcis-13865	45	90	network	network	NOUN
fcis-13865	45	91	ddos	ddo	NOUN
fcis-13865	45	92	attacks	attack	NOUN
fcis-13865	45	93	.	.	PUNCT
fcis-13865	46	1	prasad	prasad	PROPN
fcis-13865	46	2	et	et	PROPN
fcis-13865	46	3	al	al	PROPN
fcis-13865	46	4	.	.	PUNCT
fcis-13865	47	1	[	[	X
fcis-13865	47	2	8	8	NUM
fcis-13865	47	3	]	]	PUNCT
fcis-13865	47	4	demonstrates	demonstrate	VERB
fcis-13865	47	5	ddos	ddo	NOUN
fcis-13865	47	6	anomaly	anomaly	NOUN
fcis-13865	47	7	detection	detection	NOUN
fcis-13865	47	8	on	on	ADP
fcis-13865	47	9	the	the	DET
fcis-13865	47	10	open	open	ADJ
fcis-13865	47	11	cic	cic	NOUN
fcis-13865	47	12	-	-	PUNCT
fcis-13865	47	13	ddos2019	ddos2019	VERB
fcis-13865	47	14	dataset	dataset	NOUN
fcis-13865	47	15	using	use	VERB
fcis-13865	47	16	the	the	DET
fcis-13865	47	17	stochastic	stochastic	ADJ
fcis-13865	47	18	gradient	gradient	NOUN
fcis-13865	47	19	boosting	boost	VERB
fcis-13865	47	20	(	(	PUNCT
fcis-13865	47	21	sgb	sgb	NOUN
fcis-13865	47	22	)	)	PUNCT
fcis-13865	47	23	machine	machine	NOUN
fcis-13865	47	24	learning	learning	NOUN
fcis-13865	47	25	model	model	NOUN
fcis-13865	47	26	.	.	PUNCT
fcis-13865	48	1	alduailij	alduailij	INTJ
fcis-13865	48	2	et	et	PROPN
fcis-13865	48	3	al	al	PROPN
fcis-13865	48	4	.	.	PUNCT
fcis-13865	49	1	[	[	X
fcis-13865	49	2	9	9	NUM
fcis-13865	49	3	]	]	PUNCT
fcis-13865	49	4	proposed	propose	VERB
fcis-13865	49	5	a	a	DET
fcis-13865	49	6	method	method	NOUN
fcis-13865	49	7	for	for	ADP
fcis-13865	49	8	detecting	detect	VERB
fcis-13865	49	9	ddos	ddos	NOUN
fcis-13865	49	10	attacks	attack	NOUN
fcis-13865	49	11	in	in	ADP
fcis-13865	49	12	cloud	cloud	NOUN
fcis-13865	49	13	computing	computing	NOUN
fcis-13865	49	14	,	,	PUNCT
fcis-13865	49	15	applying	apply	VERB
fcis-13865	49	16	two	two	NUM
fcis-13865	49	17	feature	feature	NOUN
fcis-13865	49	18	selection	selection	NOUN
fcis-13865	49	19	techniques	technique	NOUN
fcis-13865	49	20	,	,	PUNCT
fcis-13865	49	21	the	the	DET
fcis-13865	49	22	mutual	mutual	ADJ
fcis-13865	49	23	information	information	NOUN
fcis-13865	49	24	(	(	PUNCT
fcis-13865	49	25	mi	mi	NOUN
fcis-13865	49	26	)	)	PUNCT
fcis-13865	49	27	and	and	CCONJ
fcis-13865	49	28	random	random	ADJ
fcis-13865	49	29	forest	forest	NOUN
fcis-13865	49	30	feature	feature	NOUN
fcis-13865	49	31	importance	importance	NOUN
fcis-13865	49	32	(	(	PUNCT
fcis-13865	49	33	rffi	rffi	NOUN
fcis-13865	49	34	)	)	PUNCT
fcis-13865	49	35	.	.	PUNCT
fcis-13865	50	1	while	while	SCONJ
fcis-13865	50	2	machine	machine	NOUN
fcis-13865	50	3	learning	learning	NOUN
fcis-13865	50	4	offers	offer	VERB
fcis-13865	50	5	an	an	DET
fcis-13865	50	6	effective	effective	ADJ
fcis-13865	50	7	approach	approach	NOUN
fcis-13865	50	8	for	for	ADP
fcis-13865	50	9	ddos	ddos	NOUN
fcis-13865	50	10	attacks	attack	NOUN
fcis-13865	50	11	detection	detection	NOUN
fcis-13865	50	12	,	,	PUNCT
fcis-13865	50	13	some	some	DET
fcis-13865	50	14	researchers	researcher	NOUN
fcis-13865	50	15	argue	argue	VERB
fcis-13865	50	16	that	that	SCONJ
fcis-13865	50	17	the	the	DET
fcis-13865	50	18	accuracy	accuracy	NOUN
fcis-13865	50	19	of	of	ADP
fcis-13865	50	20	detection	detection	NOUN
fcis-13865	50	21	,	,	PUNCT
fcis-13865	50	22	as	as	SCONJ
fcis-13865	50	23	demonstrated	demonstrate	VERB
fcis-13865	50	24	in	in	ADP
fcis-13865	50	25	previous	previous	ADJ
fcis-13865	50	26	studies	study	NOUN
fcis-13865	50	27	[	[	X
fcis-13865	50	28	10	10	NUM
fcis-13865	50	29	-	-	SYM
fcis-13865	50	30	11	11	NUM
fcis-13865	50	31	]	]	PUNCT
fcis-13865	50	32	,	,	PUNCT
fcis-13865	50	33	tends	tend	VERB
fcis-13865	50	34	to	to	PART
fcis-13865	50	35	decrease	decrease	VERB
fcis-13865	50	36	as	as	ADP
fcis-13865	50	37	the	the	DET
fcis-13865	50	38	size	size	NOUN
fcis-13865	50	39	of	of	ADP
fcis-13865	50	40	datasets	dataset	NOUN
fcis-13865	50	41	,	,	PUNCT
fcis-13865	50	42	often	often	ADV
fcis-13865	50	43	characterized	characterize	VERB
fcis-13865	50	44	by	by	ADP
fcis-13865	50	45	high	high	ADJ
fcis-13865	50	46	-	-	PUNCT
fcis-13865	50	47	dimensional	dimensional	ADJ
fcis-13865	50	48	features	feature	NOUN
fcis-13865	50	49	,	,	PUNCT
fcis-13865	50	50	increases	increase	NOUN
fcis-13865	50	51	.	.	PUNCT
fcis-13865	51	1	furthermore	furthermore	ADV
fcis-13865	51	2	,	,	PUNCT
fcis-13865	51	3	these	these	DET
fcis-13865	51	4	methods	method	NOUN
fcis-13865	51	5	pose	pose	VERB
fcis-13865	51	6	challenges	challenge	NOUN
fcis-13865	51	7	when	when	SCONJ
fcis-13865	51	8	manual	manual	ADJ
fcis-13865	51	9	feature	feature	NOUN
fcis-13865	51	10	extraction	extraction	NOUN
fcis-13865	51	11	is	be	AUX
fcis-13865	51	12	needed	need	VERB
fcis-13865	51	13	for	for	ADP
fcis-13865	51	14	raw	raw	ADJ
fcis-13865	51	15	or	or	CCONJ
fcis-13865	51	16	unlabeled	unlabeled	ADJ
fcis-13865	51	17	datasets	dataset	NOUN
fcis-13865	51	18	.	.	PUNCT
fcis-13865	52	1	doriguzzi	doriguzzi	NOUN
fcis-13865	52	2	et	et	PROPN
fcis-13865	52	3	al	al	PROPN
fcis-13865	52	4	.	.	PUNCT
fcis-13865	53	1	[	[	X
fcis-13865	53	2	12	12	NUM
fcis-13865	53	3	]	]	PUNCT
fcis-13865	53	4	introduced	introduce	VERB
fcis-13865	53	5	a	a	DET
fcis-13865	53	6	novel	novel	ADJ
fcis-13865	53	7	approach	approach	NOUN
fcis-13865	53	8	to	to	ADP
fcis-13865	53	9	ddos	ddos	NOUN
fcis-13865	53	10	attacks	attack	NOUN
fcis-13865	53	11	detection	detection	NOUN
fcis-13865	53	12	that	that	PRON
fcis-13865	53	13	leverages	leverage	VERB
fcis-13865	53	14	the	the	DET
fcis-13865	53	15	features	feature	NOUN
fcis-13865	53	16	of	of	ADP
fcis-13865	53	17	cnn	cnn	PROPN
fcis-13865	53	18	to	to	PART
fcis-13865	53	19	categorize	categorize	VERB
fcis-13865	53	20	traffic	traffic	NOUN
fcis-13865	53	21	as	as	ADP
fcis-13865	53	22	either	either	CCONJ
fcis-13865	53	23	malicious	malicious	ADJ
fcis-13865	53	24	or	or	CCONJ
fcis-13865	53	25	benign	benign	ADJ
fcis-13865	53	26	.	.	PUNCT
fcis-13865	54	1	nandi	nandi	NOUN
fcis-13865	54	2	et	et	PROPN
fcis-13865	54	3	al	al	PROPN
fcis-13865	54	4	.	.	PUNCT
fcis-13865	55	1	[	[	X
fcis-13865	55	2	13	13	NUM
fcis-13865	55	3	]	]	PUNCT
fcis-13865	55	4	utilized	utilize	VERB
fcis-13865	55	5	five	five	NUM
fcis-13865	55	6	prevalent	prevalent	ADJ
fcis-13865	55	7	feature	feature	NOUN
fcis-13865	55	8	selection	selection	NOUN
fcis-13865	55	9	techniques	technique	NOUN
fcis-13865	55	10	,	,	PUNCT
fcis-13865	55	11	namely	namely	ADV
fcis-13865	55	12	information	information	NOUN
fcis-13865	55	13	gain	gain	NOUN
fcis-13865	55	14	,	,	PUNCT
fcis-13865	55	15	gain	gain	VERB
fcis-13865	55	16	ratio	ratio	NOUN
fcis-13865	55	17	,	,	PUNCT
fcis-13865	55	18	chi	chi	NOUN
fcis-13865	55	19	-	-	PUNCT
fcis-13865	55	20	squared	square	VERB
fcis-13865	55	21	,	,	PUNCT
fcis-13865	55	22	relief	relief	NOUN
fcis-13865	55	23	,	,	PUNCT
fcis-13865	55	24	and	and	CCONJ
fcis-13865	55	25	symmetric	symmetric	ADJ
fcis-13865	55	26	uncertainty	uncertainty	NOUN
fcis-13865	55	27	,	,	PUNCT
fcis-13865	55	28	to	to	PART
fcis-13865	55	29	select	select	VERB
fcis-13865	55	30	the	the	DET
fcis-13865	55	31	most	most	ADV
fcis-13865	55	32	relevant	relevant	ADJ
fcis-13865	55	33	attributes	attribute	NOUN
fcis-13865	55	34	from	from	ADP
fcis-13865	55	35	the	the	DET
fcis-13865	55	36	nslkdd	nslkdd	ADJ
fcis-13865	55	37	dataset	dataset	NOUN
fcis-13865	55	38	.	.	PUNCT
fcis-13865	56	1	subsequently	subsequently	ADV
fcis-13865	56	2	,	,	PUNCT
fcis-13865	56	3	ddos	ddos	NOUN
fcis-13865	56	4	packets	packet	NOUN
fcis-13865	56	5	were	be	AUX
fcis-13865	56	6	separated	separate	VERB
fcis-13865	56	7	from	from	ADP
fcis-13865	56	8	the	the	DET
fcis-13865	56	9	dataset	dataset	NOUN
fcis-13865	56	10	,	,	PUNCT
fcis-13865	56	11	and	and	CCONJ
fcis-13865	56	12	weka	weka	PROPN
fcis-13865	56	13	was	be	AUX
fcis-13865	56	14	used	use	VERB
fcis-13865	56	15	to	to	PART
fcis-13865	56	16	discretize	discretize	VERB
fcis-13865	56	17	the	the	DET
fcis-13865	56	18	dataset	dataset	NOUN
fcis-13865	56	19	.	.	PUNCT
fcis-13865	57	1	employing	employ	VERB
fcis-13865	57	2	the	the	DET
fcis-13865	57	3	same	same	ADJ
fcis-13865	57	4	set	set	NOUN
fcis-13865	57	5	of	of	ADP
fcis-13865	57	6	classifiers	classifier	NOUN
fcis-13865	57	7	on	on	ADP
fcis-13865	57	8	the	the	DET
fcis-13865	57	9	nslddos	nslddo	NOUN
fcis-13865	57	10	dataset	dataset	PROPN
fcis-13865	57	11	yielded	yield	VERB
fcis-13865	57	12	an	an	DET
fcis-13865	57	13	average	average	ADJ
fcis-13865	57	14	ddos	ddos	NOUN
fcis-13865	57	15	detection	detection	NOUN
fcis-13865	57	16	rate	rate	NOUN
fcis-13865	57	17	of	of	ADP
fcis-13865	57	18	99	99	NUM
fcis-13865	57	19	%	%	NOUN
fcis-13865	57	20	.	.	PUNCT
fcis-13865	58	1	k.	k.	PROPN
fcis-13865	58	2	sadaf	sadaf	PROPN
fcis-13865	58	3	et	et	PROPN
fcis-13865	58	4	al	al	PROPN
fcis-13865	58	5	.	.	PUNCT
fcis-13865	59	1	[	[	X
fcis-13865	59	2	14	14	NUM
fcis-13865	59	3	]	]	PUNCT
fcis-13865	59	4	achieved	achieve	VERB
fcis-13865	59	5	an	an	DET
fcis-13865	59	6	accuracy	accuracy	NOUN
fcis-13865	59	7	of	of	ADP
fcis-13865	59	8	88.98	88.98	NUM
fcis-13865	59	9	%	%	NOUN
fcis-13865	59	10	by	by	ADP
fcis-13865	59	11	automating	automate	VERB
fcis-13865	59	12	threshold	threshold	NOUN
fcis-13865	59	13	learning	learn	VERB
fcis-13865	59	14	for	for	ADP
fcis-13865	59	15	anomaly	anomaly	NOUN
fcis-13865	59	16	detection	detection	NOUN
fcis-13865	59	17	in	in	ADP
fcis-13865	59	18	an	an	DET
fcis-13865	59	19	autoencoder	autoencoder	NOUN
fcis-13865	59	20	-	-	PUNCT
fcis-13865	59	21	based	base	VERB
fcis-13865	59	22	model	model	NOUN
fcis-13865	59	23	,	,	PUNCT
fcis-13865	59	24	through	through	ADP
fcis-13865	59	25	the	the	DET
fcis-13865	59	26	combination	combination	NOUN
fcis-13865	59	27	with	with	ADP
fcis-13865	59	28	the	the	DET
fcis-13865	59	29	unsupervised	unsupervised	ADJ
fcis-13865	59	30	learning	learning	NOUN
fcis-13865	59	31	technique	technique	NOUN
fcis-13865	59	32	of	of	ADP
fcis-13865	59	33	isolation	isolation	NOUN
fcis-13865	59	34	forest	forest	NOUN
fcis-13865	59	35	.	.	PUNCT
fcis-13865	60	1	additionally	additionally	ADV
fcis-13865	60	2	,	,	PUNCT
fcis-13865	60	3	can	can	AUX
fcis-13865	60	4	et	et	VERB
fcis-13865	60	5	al	al	PROPN
fcis-13865	60	6	.	.	PUNCT
fcis-13865	61	1	[	[	X
fcis-13865	61	2	15	15	NUM
fcis-13865	61	3	]	]	PUNCT
fcis-13865	61	4	enhanced	enhance	VERB
fcis-13865	61	5	the	the	DET
fcis-13865	61	6	unbalanced	unbalanced	ADJ
fcis-13865	61	7	dataset	dataset	NOUN
fcis-13865	61	8	of	of	ADP
fcis-13865	61	9	cic	cic	PROPN
fcis-13865	61	10	-	-	PUNCT
fcis-13865	61	11	ddos2019	ddos2019	VERB
fcis-13865	61	12	by	by	ADP
fcis-13865	61	13	using	use	VERB
fcis-13865	61	14	automatic	automatic	ADJ
fcis-13865	61	15	feature	feature	NOUN
fcis-13865	61	16	selection	selection	NOUN
fcis-13865	61	17	to	to	PART
fcis-13865	61	18	solve	solve	VERB
fcis-13865	61	19	the	the	DET
fcis-13865	61	20	imbalance	imbalance	NOUN
fcis-13865	61	21	problem	problem	NOUN
fcis-13865	61	22	in	in	ADP
fcis-13865	61	23	the	the	DET
fcis-13865	61	24	dataset	dataset	NOUN
fcis-13865	61	25	.	.	PUNCT
fcis-13865	62	1	the	the	DET
fcis-13865	62	2	voluminous	voluminous	ADJ
fcis-13865	62	3	amount	amount	NOUN
fcis-13865	62	4	of	of	ADP
fcis-13865	62	5	network	network	NOUN
fcis-13865	62	6	traffic	traffic	NOUN
fcis-13865	62	7	data	datum	NOUN
fcis-13865	62	8	poses	pose	VERB
fcis-13865	62	9	a	a	DET
fcis-13865	62	10	significant	significant	ADJ
fcis-13865	62	11	challenge	challenge	NOUN
fcis-13865	62	12	to	to	ADP
fcis-13865	62	13	traditional	traditional	ADJ
fcis-13865	62	14	ddos	ddo	NOUN
fcis-13865	62	15	detection	detection	NOUN
fcis-13865	62	16	techniques	technique	NOUN
fcis-13865	62	17	.	.	PUNCT
fcis-13865	63	1	traditional	traditional	ADJ
fcis-13865	63	2	feature	feature	NOUN
fcis-13865	63	3	selection	selection	NOUN
fcis-13865	63	4	and	and	CCONJ
fcis-13865	63	5	classification	classification	NOUN
fcis-13865	63	6	algorithms	algorithm	NOUN
fcis-13865	63	7	fail	fail	VERB
fcis-13865	63	8	to	to	PART
fcis-13865	63	9	adapt	adapt	VERB
fcis-13865	63	10	to	to	ADP
fcis-13865	63	11	the	the	DET
fcis-13865	63	12	massive	massive	ADJ
fcis-13865	63	13	data	datum	NOUN
fcis-13865	63	14	environment	environment	NOUN
fcis-13865	63	15	,	,	PUNCT
fcis-13865	63	16	as	as	SCONJ
fcis-13865	63	17	the	the	DET
fcis-13865	63	18	detection	detection	NOUN
fcis-13865	63	19	performance	performance	NOUN
fcis-13865	63	20	is	be	AUX
fcis-13865	63	21	closely	closely	ADV
fcis-13865	63	22	linked	link	VERB
fcis-13865	63	23	to	to	ADP
fcis-13865	63	24	the	the	DET
fcis-13865	63	25	chosen	choose	VERB
fcis-13865	63	26	features	feature	NOUN
fcis-13865	63	27	and	and	CCONJ
fcis-13865	63	28	classifiers	classifier	NOUN
fcis-13865	63	29	.	.	PUNCT
fcis-13865	64	1	there	there	PRON
fcis-13865	64	2	is	be	VERB
fcis-13865	64	3	a	a	DET
fcis-13865	64	4	relative	relative	ADJ
fcis-13865	64	5	paucity	paucity	NOUN
fcis-13865	64	6	of	of	ADP
fcis-13865	64	7	research	research	NOUN
fcis-13865	64	8	on	on	ADP
fcis-13865	64	9	distinguishing	distinguish	VERB
fcis-13865	64	10	different	different	ADJ
fcis-13865	64	11	types	type	NOUN
fcis-13865	64	12	of	of	ADP
fcis-13865	64	13	ddos	ddos	NOUN
fcis-13865	64	14	attacks	attack	NOUN
fcis-13865	64	15	,	,	PUNCT
fcis-13865	64	16	and	and	CCONJ
fcis-13865	64	17	the	the	DET
fcis-13865	64	18	imbalanced	imbalanced	ADJ
fcis-13865	64	19	raw	raw	ADJ
fcis-13865	64	20	traffic	traffic	NOUN
fcis-13865	64	21	data	datum	NOUN
fcis-13865	64	22	significantly	significantly	ADV
fcis-13865	64	23	impairs	impair	VERB
fcis-13865	64	24	the	the	DET
fcis-13865	64	25	classification	classification	NOUN
fcis-13865	64	26	results	result	NOUN
fcis-13865	64	27	.	.	PUNCT
fcis-13865	65	1	inspired	inspire	VERB
fcis-13865	65	2	by	by	ADP
fcis-13865	65	3	the	the	DET
fcis-13865	65	4	aforementioned	aforementioned	ADJ
fcis-13865	65	5	research	research	NOUN
fcis-13865	65	6	,	,	PUNCT
fcis-13865	65	7	we	we	PRON
fcis-13865	65	8	propose	propose	VERB
fcis-13865	65	9	scd	scd	PROPN
fcis-13865	65	10	,	,	PUNCT
fcis-13865	65	11	a	a	DET
fcis-13865	65	12	lightweight	lightweight	ADJ
fcis-13865	65	13	ddos	ddo	NOUN
fcis-13865	65	14	attack	attack	NOUN
fcis-13865	65	15	detection	detection	NOUN
fcis-13865	65	16	model	model	NOUN
fcis-13865	65	17	.	.	PUNCT
fcis-13865	66	1	this	this	DET
fcis-13865	66	2	model	model	NOUN
fcis-13865	66	3	not	not	PART
fcis-13865	66	4	only	only	ADV
fcis-13865	66	5	efficiently	efficiently	ADV
fcis-13865	66	6	extracts	extract	NOUN
fcis-13865	66	7	features	feature	NOUN
fcis-13865	66	8	from	from	ADP
fcis-13865	66	9	input	input	NOUN
fcis-13865	66	10	traffic	traffic	NOUN
fcis-13865	66	11	data	datum	NOUN
fcis-13865	66	12	,	,	PUNCT
fcis-13865	66	13	but	but	CCONJ
fcis-13865	66	14	also	also	ADV
fcis-13865	66	15	classifies	classify	VERB
fcis-13865	66	16	multiple	multiple	ADJ
fcis-13865	66	17	types	type	NOUN
fcis-13865	66	18	of	of	ADP
fcis-13865	66	19	ddos	ddos	NOUN
fcis-13865	66	20	attacks	attack	NOUN
fcis-13865	66	21	.	.	PUNCT
fcis-13865	67	1	3	3	X
fcis-13865	67	2	.	.	X
fcis-13865	67	3	methodology	methodology	NOUN
fcis-13865	67	4	the	the	DET
fcis-13865	67	5	network	network	NOUN
fcis-13865	67	6	fusion	fusion	NOUN
fcis-13865	67	7	structure	structure	NOUN
fcis-13865	67	8	of	of	ADP
fcis-13865	67	9	the	the	DET
fcis-13865	67	10	proposed	propose	VERB
fcis-13865	67	11	model	model	NOUN
fcis-13865	67	12	is	be	AUX
fcis-13865	67	13	shown	show	VERB
fcis-13865	67	14	in	in	ADP
fcis-13865	67	15	figure	figure	NOUN
fcis-13865	67	16	1	1	NUM
fcis-13865	67	17	.	.	PUNCT
fcis-13865	68	1	scd	scd	PROPN
fcis-13865	68	2	integrates	integrate	VERB
fcis-13865	68	3	advanced	advanced	ADJ
fcis-13865	68	4	deep	deep	ADJ
fcis-13865	68	5	learning	learning	NOUN
fcis-13865	68	6	theories	theory	NOUN
fcis-13865	68	7	,	,	PUNCT
fcis-13865	68	8	especially	especially	ADV
fcis-13865	68	9	sae	sae	PROPN
fcis-13865	68	10	and	and	CCONJ
fcis-13865	68	11	one	one	NUM
fcis-13865	68	12	-	-	PUNCT
fcis-13865	68	13	dimensional	dimensional	ADJ
fcis-13865	68	14	convolution	convolution	NOUN
fcis-13865	68	15	.	.	PUNCT
fcis-13865	69	1	the	the	DET
fcis-13865	69	2	optimal	optimal	ADJ
fcis-13865	69	3	structure	structure	NOUN
fcis-13865	69	4	for	for	ADP
fcis-13865	69	5	detecting	detect	VERB
fcis-13865	69	6	ddos	ddos	NOUN
fcis-13865	69	7	attacks	attack	NOUN
fcis-13865	69	8	is	be	AUX
fcis-13865	69	9	achieved	achieve	VERB
fcis-13865	69	10	by	by	ADP
fcis-13865	69	11	merging	merge	VERB
fcis-13865	69	12	model	model	NOUN
fcis-13865	69	13	operations	operation	NOUN
fcis-13865	69	14	.	.	PUNCT
fcis-13865	70	1	the	the	DET
fcis-13865	70	2	issue	issue	NOUN
fcis-13865	70	3	of	of	ADP
fcis-13865	70	4	imbalanced	imbalanced	ADJ
fcis-13865	70	5	datasets	dataset	NOUN
fcis-13865	70	6	is	be	AUX
fcis-13865	70	7	addressed	address	VERB
fcis-13865	70	8	through	through	ADP
fcis-13865	70	9	preprocessing	preprocessing	NOUN
fcis-13865	70	10	,	,	PUNCT
fcis-13865	70	11	and	and	CCONJ
fcis-13865	70	12	the	the	DET
fcis-13865	70	13	dimension	dimension	NOUN
fcis-13865	70	14	reduction	reduction	NOUN
fcis-13865	70	15	capability	capability	NOUN
fcis-13865	70	16	of	of	ADP
fcis-13865	70	17	sae	sae	PROPN
fcis-13865	70	18	is	be	AUX
fcis-13865	70	19	efficiently	efficiently	ADV
fcis-13865	70	20	combined	combine	VERB
fcis-13865	70	21	with	with	ADP
fcis-13865	70	22	the	the	DET
fcis-13865	70	23	classification	classification	NOUN
fcis-13865	70	24	ability	ability	NOUN
fcis-13865	70	25	of	of	ADP
fcis-13865	70	26	the	the	DET
fcis-13865	70	27	cnn	cnn	PROPN
fcis-13865	70	28	network	network	NOUN
fcis-13865	70	29	.	.	PUNCT
fcis-13865	71	1	the	the	DET
fcis-13865	71	2	integration	integration	NOUN
fcis-13865	71	3	of	of	ADP
fcis-13865	71	4	all	all	DET
fcis-13865	71	5	three	three	NUM
fcis-13865	71	6	aspects	aspect	NOUN
fcis-13865	71	7	enables	enable	VERB
fcis-13865	71	8	a	a	DET
fcis-13865	71	9	thorough	thorough	ADJ
fcis-13865	71	10	and	and	CCONJ
fcis-13865	71	11	comprehensive	comprehensive	ADJ
fcis-13865	71	12	understanding	understanding	NOUN
fcis-13865	71	13	of	of	ADP
fcis-13865	71	14	attack	attack	NOUN
fcis-13865	71	15	traffic	traffic	NOUN
fcis-13865	71	16	.	.	PUNCT
fcis-13865	72	1	figure	figure	NOUN
fcis-13865	72	2	1	1	NUM
fcis-13865	72	3	.	.	PUNCT
fcis-13865	73	1	architecture	architecture	NOUN
fcis-13865	73	2	of	of	ADP
fcis-13865	73	3	vehicular	vehicular	ADJ
fcis-13865	73	4	networks	network	NOUN
fcis-13865	73	5	.	.	PUNCT
fcis-13865	74	1	3.1	3.1	NUM
fcis-13865	74	2	.	.	PUNCT
fcis-13865	74	3	data	datum	NOUN
fcis-13865	74	4	preprocessing	preprocesse	VERB
fcis-13865	74	5	the	the	DET
fcis-13865	74	6	preprocessing	preprocessing	NOUN
fcis-13865	74	7	procedure	procedure	NOUN
fcis-13865	74	8	is	be	AUX
fcis-13865	74	9	of	of	ADP
fcis-13865	74	10	critical	critical	ADJ
fcis-13865	74	11	significance	significance	NOUN
fcis-13865	74	12	.	.	PUNCT
fcis-13865	75	1	there	there	PRON
fcis-13865	75	2	are	be	VERB
fcis-13865	75	3	three	three	NUM
fcis-13865	75	4	rationales	rationale	NOUN
fcis-13865	75	5	for	for	ADP
fcis-13865	75	6	preprocessing	preprocesse	VERB
fcis-13865	75	7	the	the	DET
fcis-13865	75	8	raw	raw	ADJ
fcis-13865	75	9	data	datum	NOUN
fcis-13865	75	10	:	:	PUNCT
fcis-13865	75	11	(	(	PUNCT
fcis-13865	75	12	1	1	X
fcis-13865	75	13	)	)	PUNCT
fcis-13865	75	14	the	the	DET
fcis-13865	75	15	diverse	diverse	ADJ
fcis-13865	75	16	lengths	length	NOUN
fcis-13865	75	17	of	of	ADP
fcis-13865	75	18	the	the	DET
fcis-13865	75	19	raw	raw	ADJ
fcis-13865	75	20	data	datum	NOUN
fcis-13865	75	21	collected	collect	VERB
fcis-13865	75	22	from	from	ADP
fcis-13865	75	23	the	the	DET
fcis-13865	75	24	network	network	NOUN
fcis-13865	75	25	pose	pose	VERB
fcis-13865	75	26	challenges	challenge	NOUN
fcis-13865	75	27	for	for	ADP
fcis-13865	75	28	deep	deep	ADJ
fcis-13865	75	29	learning	learning	NOUN
fcis-13865	75	30	models	model	NOUN
fcis-13865	75	31	,	,	PUNCT
fcis-13865	75	32	which	which	PRON
fcis-13865	75	33	require	require	VERB
fcis-13865	75	34	standardized	standardized	ADJ
fcis-13865	75	35	input	input	NOUN
fcis-13865	75	36	formats	format	NOUN
fcis-13865	75	37	;	;	PUNCT
fcis-13865	75	38	(	(	PUNCT
fcis-13865	75	39	2	2	X
fcis-13865	75	40	)	)	PUNCT
fcis-13865	75	41	certain	certain	ADJ
fcis-13865	75	42	information	information	NOUN
fcis-13865	75	43	contained	contain	VERB
fcis-13865	75	44	in	in	ADP
fcis-13865	75	45	the	the	DET
fcis-13865	75	46	raw	raw	ADJ
fcis-13865	75	47	data	datum	NOUN
fcis-13865	75	48	,	,	PUNCT
fcis-13865	75	49	such	such	ADJ
fcis-13865	75	50	as	as	ADP
fcis-13865	75	51	port	port	NOUN
fcis-13865	75	52	numbers	number	NOUN
fcis-13865	75	53	,	,	PUNCT
fcis-13865	75	54	may	may	AUX
fcis-13865	75	55	adversely	adversely	ADV
fcis-13865	75	56	affect	affect	VERB
fcis-13865	75	57	the	the	DET
fcis-13865	75	58	accuracy	accuracy	NOUN
fcis-13865	75	59	of	of	ADP
fcis-13865	75	60	the	the	DET
fcis-13865	75	61	results	result	NOUN
fcis-13865	75	62	;	;	PUNCT
fcis-13865	75	63	(	(	PUNCT
fcis-13865	75	64	3	3	X
fcis-13865	75	65	)	)	PUNCT
fcis-13865	75	66	a	a	DET
fcis-13865	75	67	standardized	standardized	ADJ
fcis-13865	75	68	format	format	NOUN
fcis-13865	75	69	enables	enable	VERB
fcis-13865	75	70	streamlined	streamlined	ADJ
fcis-13865	75	71	maintenance	maintenance	NOUN
fcis-13865	75	72	and	and	CCONJ
fcis-13865	75	73	facilitates	facilitate	VERB
fcis-13865	75	74	subsequent	subsequent	ADJ
fcis-13865	75	75	tasks	task	NOUN
fcis-13865	75	76	.	.	PUNCT
fcis-13865	76	1	the	the	DET
fcis-13865	76	2	raw	raw	ADJ
fcis-13865	76	3	data	datum	NOUN
fcis-13865	76	4	comes	come	VERB
fcis-13865	76	5	from	from	ADP
fcis-13865	76	6	pacp	pacp	NOUN
fcis-13865	76	7	files	file	NOUN
fcis-13865	76	8	in	in	ADP
fcis-13865	76	9	the	the	DET
fcis-13865	76	10	cic	cic	PROPN
fcis-13865	76	11	-	-	PUNCT
fcis-13865	76	12	ddos2019	ddos2019	VERB
fcis-13865	76	13	dataset	dataset	NOUN
fcis-13865	76	14	,	,	PUNCT
fcis-13865	76	15	and	and	CCONJ
fcis-13865	76	16	through	through	ADP
fcis-13865	76	17	our	our	PRON
fcis-13865	76	18	preprocessing	preprocessing	NOUN
fcis-13865	76	19	technology	technology	NOUN
fcis-13865	76	20	,	,	PUNCT
fcis-13865	76	21	we	we	PRON
fcis-13865	76	22	ultimately	ultimately	ADV
fcis-13865	76	23	generate	generate	VERB
fcis-13865	76	24	13	13	NUM
fcis-13865	76	25	types	type	NOUN
fcis-13865	76	26	of	of	ADP
fcis-13865	76	27	grayscale	grayscale	NOUN
fcis-13865	76	28	images	image	NOUN
fcis-13865	76	29	.	.	PUNCT
fcis-13865	77	1	all	all	DET
fcis-13865	77	2	data	datum	NOUN
fcis-13865	77	3	packets	packet	NOUN
fcis-13865	77	4	are	be	AUX
fcis-13865	77	5	defined	define	VERB
fcis-13865	77	6	as	as	ADP
fcis-13865	77	7	a	a	DET
fcis-13865	77	8	collection	collection	NOUN
fcis-13865	77	9	and	and	CCONJ
fcis-13865	77	10	divided	divide	VERB
fcis-13865	77	11	into	into	ADP
fcis-13865	77	12	multiple	multiple	ADJ
fcis-13865	77	13	files	file	NOUN
fcis-13865	77	14	based	base	VERB
fcis-13865	77	15	on	on	ADP
fcis-13865	77	16	ip	ip	DET
fcis-13865	77	17	addresses	address	NOUN
fcis-13865	77	18	and	and	CCONJ
fcis-13865	77	19	quintuples	quintuple	NOUN
fcis-13865	77	20	(	(	PUNCT
fcis-13865	77	21	source	source	NOUN
fcis-13865	77	22	host	host	NOUN
fcis-13865	77	23	,	,	PUNCT
fcis-13865	77	24	destination	destination	NOUN
fcis-13865	77	25	host	host	NOUN
fcis-13865	77	26	,	,	PUNCT
fcis-13865	77	27	source	source	NOUN
fcis-13865	77	28	port	port	NOUN
fcis-13865	77	29	,	,	PUNCT
fcis-13865	77	30	destination	destination	NOUN
fcis-13865	77	31	port	port	NOUN
fcis-13865	77	32	,	,	PUNCT
fcis-13865	77	33	and	and	CCONJ
fcis-13865	77	34	transport	transport	NOUN
fcis-13865	77	35	protocol	protocol	NOUN
fcis-13865	77	36	)	)	PUNCT
fcis-13865	77	37	.	.	PUNCT
fcis-13865	78	1	each	each	DET
fcis-13865	78	2	file	file	NOUN
fcis-13865	78	3	corresponds	correspond	VERB
fcis-13865	78	4	to	to	ADP
fcis-13865	78	5	a	a	DET
fcis-13865	78	6	session	session	NOUN
fcis-13865	78	7	.	.	PUNCT
fcis-13865	79	1	the	the	DET
fcis-13865	79	2	original	original	ADJ
fcis-13865	79	3	data	data	NOUN
fcis-13865	79	4	stream	stream	NOUN
fcis-13865	79	5	is	be	AUX
fcis-13865	79	6	partitioned	partition	VERB
fcis-13865	79	7	into	into	ADP
fcis-13865	79	8	smaller	small	ADJ
fcis-13865	79	9	files	file	NOUN
fcis-13865	79	10	,	,	PUNCT
fcis-13865	79	11	and	and	CCONJ
fcis-13865	79	12	features	feature	NOUN
fcis-13865	79	13	are	be	AUX
fcis-13865	79	14	extracted	extract	VERB
fcis-13865	79	15	from	from	ADP
fcis-13865	79	16	the	the	DET
fcis-13865	79	17	data	datum	NOUN
fcis-13865	79	18	of	of	ADP
fcis-13865	79	19	each	each	DET
fcis-13865	79	20	session	session	NOUN
fcis-13865	79	21	stream	stream	NOUN
fcis-13865	79	22	.	.	PUNCT
fcis-13865	80	1	remove	remove	VERB
fcis-13865	80	2	socket	socket	NOUN
fcis-13865	80	3	features	feature	NOUN
fcis-13865	80	4	.	.	PUNCT
fcis-13865	81	1	we	we	PRON
fcis-13865	81	2	remove	remove	VERB
fcis-13865	81	3	all	all	PRON
fcis-13865	81	4	of	of	ADP
fcis-13865	81	5	the	the	DET
fcis-13865	81	6	socket	socket	NOUN
fcis-13865	81	7	features	feature	VERB
fcis-13865	81	8	like	like	ADP
fcis-13865	81	9	destination	destination	NOUN
fcis-13865	81	10	ip	ip	NOUN
fcis-13865	81	11	,	,	PUNCT
fcis-13865	81	12	destination	destination	NOUN
fcis-13865	81	13	port	port	NOUN
fcis-13865	81	14	,	,	PUNCT
fcis-13865	81	15	timestamp	timestamp	NOUN
fcis-13865	81	16	,	,	PUNCT
fcis-13865	81	17	and	and	CCONJ
fcis-13865	81	18	flow	flow	NOUN
fcis-13865	81	19	i	i	PRON
fcis-13865	81	20	d.	d.	NOUN
fcis-13865	81	21	these	these	DET
fcis-13865	81	22	features	feature	NOUN
fcis-13865	81	23	vary	vary	VERB
fcis-13865	81	24	from	from	ADP
fcis-13865	81	25	network	network	NOUN
fcis-13865	81	26	to	to	ADP
fcis-13865	81	27	network	network	NOUN
fcis-13865	81	28	,	,	PUNCT
fcis-13865	81	29	and	and	CCONJ
fcis-13865	81	30	we	we	PRON
fcis-13865	81	31	need	need	VERB
fcis-13865	81	32	to	to	PART
fcis-13865	81	33	train	train	VERB
fcis-13865	81	34	the	the	DET
fcis-13865	81	35	model	model	NOUN
fcis-13865	81	36	with	with	ADP
fcis-13865	81	37	packet	packet	NOUN
fcis-13865	81	38	characteristics	characteristic	NOUN
fcis-13865	81	39	itself	itself	PRON
fcis-13865	81	40	.	.	PUNCT
fcis-13865	82	1	furthermore	furthermore	ADV
fcis-13865	82	2	,	,	PUNCT
fcis-13865	82	3	both	both	PRON
fcis-13865	82	4	intruders	intruder	NOUN
fcis-13865	82	5	and	and	CCONJ
fcis-13865	82	6	normal	normal	ADJ
fcis-13865	82	7	users	user	NOUN
fcis-13865	82	8	can	can	AUX
fcis-13865	82	9	share	share	VERB
fcis-13865	82	10	the	the	DET
fcis-13865	82	11	same	same	ADJ
fcis-13865	82	12	ip	ip	PRON
fcis-13865	82	13	address	address	NOUN
fcis-13865	82	14	.	.	PUNCT
fcis-13865	83	1	therefore	therefore	ADV
fcis-13865	83	2	,	,	PUNCT
fcis-13865	83	3	training	train	VERB
fcis-13865	83	4	the	the	DET
fcis-13865	83	5	dl	dl	PROPN
fcis-13865	83	6	model	model	NOUN
fcis-13865	83	7	with	with	ADP
fcis-13865	83	8	socket	socket	NOUN
fcis-13865	83	9	information	information	NOUN
fcis-13865	83	10	can	can	AUX
fcis-13865	83	11	cause	cause	VERB
fcis-13865	83	12	an	an	DET
fcis-13865	83	13	overfitting	overfitte	VERB
fcis-13865	83	14	problem	problem	NOUN
fcis-13865	83	15	,	,	PUNCT
fcis-13865	83	16	as	as	SCONJ
fcis-13865	83	17	the	the	DET
fcis-13865	83	18	model	model	NOUN
fcis-13865	83	19	can	can	AUX
fcis-13865	83	20	be	be	AUX
fcis-13865	83	21	biased	bias	VERB
fcis-13865	83	22	to	to	ADP
fcis-13865	83	23	the	the	DET
fcis-13865	83	24	socket	socket	NOUN
fcis-13865	83	25	information	information	NOUN
fcis-13865	83	26	.	.	PUNCT
fcis-13865	84	1	so	so	ADV
fcis-13865	84	2	we	we	PRON
fcis-13865	84	3	remove	remove	VERB
fcis-13865	84	4	all	all	DET
fcis-13865	84	5	unnecessary	unnecessary	ADJ
fcis-13865	84	6	features	feature	NOUN
fcis-13865	84	7	.	.	PUNCT
fcis-13865	85	1	traffic	traffic	NOUN
fcis-13865	85	2	cleaning	cleaning	NOUN
fcis-13865	85	3	.	.	PUNCT
fcis-13865	86	1	this	this	PRON
fcis-13865	86	2	is	be	AUX
fcis-13865	86	3	a	a	DET
fcis-13865	86	4	crucial	crucial	ADJ
fcis-13865	86	5	step	step	NOUN
fcis-13865	86	6	in	in	ADP
fcis-13865	86	7	eliminating	eliminate	VERB
fcis-13865	86	8	interference	interference	NOUN
fcis-13865	86	9	data	datum	NOUN
fcis-13865	86	10	from	from	ADP
fcis-13865	86	11	traffic	traffic	NOUN
fcis-13865	86	12	packets	packet	NOUN
fcis-13865	86	13	,	,	PUNCT
fcis-13865	86	14	removing	remove	VERB
fcis-13865	86	15	irrelevant	irrelevant	ADJ
fcis-13865	86	16	features	feature	NOUN
fcis-13865	86	17	,	,	PUNCT
fcis-13865	86	18	and	and	CCONJ
fcis-13865	86	19	retaining	retain	VERB
fcis-13865	86	20	useful	useful	ADJ
fcis-13865	86	21	ones	one	NOUN
fcis-13865	86	22	.	.	PUNCT
fcis-13865	87	1	the	the	DET
fcis-13865	87	2	original	original	ADJ
fcis-13865	87	3	data	datum	NOUN
fcis-13865	87	4	often	often	ADV
fcis-13865	87	5	contains	contain	VERB
fcis-13865	87	6	missing	missing	ADJ
fcis-13865	87	7	(	(	PUNCT
fcis-13865	87	8	nan	nan	NOUN
fcis-13865	87	9	)	)	PUNCT
fcis-13865	87	10	and	and	CCONJ
fcis-13865	87	11	infinity	infinity	NOUN
fcis-13865	87	12	values	value	NOUN
fcis-13865	87	13	that	that	PRON
fcis-13865	87	14	could	could	AUX
fcis-13865	87	15	affect	affect	VERB
fcis-13865	87	16	the	the	DET
fcis-13865	87	17	learning	learning	NOUN
fcis-13865	87	18	process	process	NOUN
fcis-13865	87	19	of	of	ADP
fcis-13865	87	20	dl	dl	PROPN
fcis-13865	87	21	models	model	NOUN
fcis-13865	87	22	.	.	PUNCT
fcis-13865	88	1	therefore	therefore	ADV
fcis-13865	88	2	,	,	PUNCT
fcis-13865	88	3	these	these	DET
fcis-13865	88	4	values	value	NOUN
fcis-13865	88	5	are	be	AUX
fcis-13865	88	6	removed	remove	VERB
fcis-13865	88	7	from	from	ADP
fcis-13865	88	8	the	the	DET
fcis-13865	88	9	data	datum	NOUN
fcis-13865	88	10	during	during	ADP
fcis-13865	88	11	the	the	DET
fcis-13865	88	12	preprocessing	preprocessing	NOUN
fcis-13865	88	13	phase	phase	NOUN
fcis-13865	88	14	.	.	PUNCT
fcis-13865	89	1	96	96	NUM
fcis-13865	89	2	traffic	traffic	NOUN
fcis-13865	89	3	optimization	optimization	NOUN
fcis-13865	89	4	.	.	PUNCT
fcis-13865	90	1	this	this	PRON
fcis-13865	90	2	includes	include	VERB
fcis-13865	90	3	removing	remove	VERB
fcis-13865	90	4	duplicate	duplicate	NOUN
fcis-13865	90	5	and	and	CCONJ
fcis-13865	90	6	empty	empty	ADJ
fcis-13865	90	7	files	file	NOUN
fcis-13865	90	8	that	that	PRON
fcis-13865	90	9	may	may	AUX
fcis-13865	90	10	impair	impair	VERB
fcis-13865	90	11	the	the	DET
fcis-13865	90	12	learning	learning	NOUN
fcis-13865	90	13	ability	ability	NOUN
fcis-13865	90	14	of	of	ADP
fcis-13865	90	15	the	the	DET
fcis-13865	90	16	framework	framework	NOUN
fcis-13865	90	17	.	.	PUNCT
fcis-13865	91	1	length	length	NOUN
fcis-13865	91	2	unification	unification	NOUN
fcis-13865	91	3	.	.	PUNCT
fcis-13865	92	1	we	we	PRON
fcis-13865	92	2	truncate	truncate	VERB
fcis-13865	92	3	pacp	pacp	NOUN
fcis-13865	92	4	files	file	NOUN
fcis-13865	92	5	larger	large	ADJ
fcis-13865	92	6	than	than	ADP
fcis-13865	92	7	784	784	NUM
fcis-13865	92	8	bytes	byte	NOUN
fcis-13865	92	9	to	to	ADP
fcis-13865	92	10	784	784	NUM
fcis-13865	92	11	bytes	byte	NOUN
fcis-13865	92	12	and	and	CCONJ
fcis-13865	92	13	padding	padding	NOUN
fcis-13865	92	14	files	file	NOUN
fcis-13865	92	15	smaller	small	ADJ
fcis-13865	92	16	than	than	ADP
fcis-13865	92	17	784	784	NUM
fcis-13865	92	18	bytes	byte	NOUN
fcis-13865	92	19	with	with	ADP
fcis-13865	92	20	0x00s	0x00s	NOUN
fcis-13865	92	21	at	at	ADP
fcis-13865	92	22	the	the	DET
fcis-13865	92	23	end	end	NOUN
fcis-13865	92	24	to	to	PART
fcis-13865	92	25	supplement	supplement	VERB
fcis-13865	92	26	them	they	PRON
fcis-13865	92	27	to	to	ADP
fcis-13865	92	28	784	784	NUM
fcis-13865	92	29	bytes	byte	NOUN
fcis-13865	92	30	.	.	PUNCT
fcis-13865	93	1	the	the	DET
fcis-13865	93	2	idx	idx	PROPN
fcis-13865	93	3	padding	padding	NOUN
fcis-13865	93	4	generator	generator	NOUN
fcis-13865	93	5	.	.	PUNCT
fcis-13865	94	1	we	we	PRON
fcis-13865	94	2	convert	convert	VERB
fcis-13865	94	3	these	these	DET
fcis-13865	94	4	uniformly	uniformly	ADV
fcis-13865	94	5	sized	sized	ADJ
fcis-13865	94	6	pcap	pcap	NOUN
fcis-13865	94	7	files	file	NOUN
fcis-13865	94	8	into	into	ADP
fcis-13865	94	9	idx	idx	NOUN
fcis-13865	94	10	file	file	NOUN
fcis-13865	94	11	of	of	ADP
fcis-13865	94	12	size	size	NOUN
fcis-13865	94	13	28	28	NUM
fcis-13865	94	14	bytes	byte	NOUN
fcis-13865	94	15	x	x	SYM
fcis-13865	94	16	28	28	NUM
fcis-13865	94	17	bytes	byte	NOUN
fcis-13865	94	18	,	,	PUNCT
fcis-13865	94	19	which	which	PRON
fcis-13865	94	20	is	be	AUX
fcis-13865	94	21	a	a	DET
fcis-13865	94	22	common	common	ADJ
fcis-13865	94	23	file	file	NOUN
fcis-13865	94	24	format	format	NOUN
fcis-13865	94	25	used	use	VERB
fcis-13865	94	26	in	in	ADP
fcis-13865	94	27	the	the	DET
fcis-13865	94	28	field	field	NOUN
fcis-13865	94	29	of	of	ADP
fcis-13865	94	30	deep	deep	ADJ
fcis-13865	94	31	learning	learning	NOUN
fcis-13865	94	32	.	.	PUNCT
fcis-13865	95	1	if	if	SCONJ
fcis-13865	95	2	mapped	map	VERB
fcis-13865	95	3	to	to	ADP
fcis-13865	95	4	[	[	X
fcis-13865	95	5	0,1	0,1	NUM
fcis-13865	95	6	]	]	PUNCT
fcis-13865	95	7	,	,	PUNCT
fcis-13865	95	8	these	these	DET
fcis-13865	95	9	files	file	NOUN
fcis-13865	95	10	are	be	AUX
fcis-13865	95	11	treated	treat	VERB
fcis-13865	95	12	as	as	ADP
fcis-13865	95	13	grayscale	grayscale	NOUN
fcis-13865	95	14	images	image	NOUN
fcis-13865	95	15	.	.	PUNCT
fcis-13865	96	1	after	after	ADP
fcis-13865	96	2	preprocessing	preprocesse	VERB
fcis-13865	96	3	these	these	DET
fcis-13865	96	4	operations	operation	NOUN
fcis-13865	96	5	and	and	CCONJ
fcis-13865	96	6	processing	process	VERB
fcis-13865	96	7	benign	benign	ADJ
fcis-13865	96	8	traffic	traffic	NOUN
fcis-13865	96	9	data	datum	NOUN
fcis-13865	96	10	streams	stream	NOUN
fcis-13865	96	11	,	,	PUNCT
fcis-13865	96	12	a	a	DET
fcis-13865	96	13	total	total	NOUN
fcis-13865	96	14	of	of	ADP
fcis-13865	96	15	77,460	77,460	NUM
fcis-13865	96	16	grayscale	grayscale	NOUN
fcis-13865	96	17	images	image	NOUN
fcis-13865	96	18	are	be	AUX
fcis-13865	96	19	generated	generate	VERB
fcis-13865	96	20	and	and	CCONJ
fcis-13865	96	21	a	a	DET
fcis-13865	96	22	total	total	NOUN
fcis-13865	96	23	of	of	ADP
fcis-13865	96	24	13	13	NUM
fcis-13865	96	25	types	type	NOUN
fcis-13865	96	26	sample	sample	NOUN
fcis-13865	96	27	images	image	NOUN
fcis-13865	96	28	of	of	ADP
fcis-13865	96	29	ddos	ddos	NOUN
fcis-13865	96	30	attacks	attack	NOUN
fcis-13865	96	31	are	be	AUX
fcis-13865	96	32	shown	show	VERB
fcis-13865	96	33	in	in	ADP
fcis-13865	96	34	figure	figure	NOUN
fcis-13865	96	35	2	2	NUM
fcis-13865	96	36	.	.	PUNCT
fcis-13865	96	37	figure	figure	NOUN
fcis-13865	96	38	2	2	NUM
fcis-13865	96	39	.	.	NOUN
fcis-13865	96	40	13	13	NUM
fcis-13865	96	41	types	type	NOUN
fcis-13865	96	42	of	of	ADP
fcis-13865	96	43	grayscale	grayscale	NOUN
fcis-13865	96	44	images	image	NOUN
fcis-13865	96	45	.	.	PUNCT
fcis-13865	97	1	by	by	ADP
fcis-13865	97	2	analyzing	analyze	VERB
fcis-13865	97	3	these	these	DET
fcis-13865	97	4	grayscale	grayscale	NOUN
fcis-13865	97	5	images	image	NOUN
fcis-13865	97	6	,	,	PUNCT
fcis-13865	97	7	we	we	PRON
fcis-13865	97	8	arrive	arrive	VERB
fcis-13865	97	9	at	at	ADP
fcis-13865	97	10	the	the	DET
fcis-13865	97	11	conclusion	conclusion	NOUN
fcis-13865	97	12	that	that	SCONJ
fcis-13865	97	13	various	various	ADJ
fcis-13865	97	14	categories	category	NOUN
fcis-13865	97	15	of	of	ADP
fcis-13865	97	16	ddos	ddos	NOUN
fcis-13865	97	17	attacks	attack	NOUN
fcis-13865	97	18	exhibit	exhibit	VERB
fcis-13865	97	19	a	a	DET
fcis-13865	97	20	notable	notable	ADJ
fcis-13865	97	21	level	level	NOUN
fcis-13865	97	22	of	of	ADP
fcis-13865	97	23	differentiation	differentiation	NOUN
fcis-13865	97	24	,	,	PUNCT
fcis-13865	97	25	and	and	CCONJ
fcis-13865	97	26	each	each	DET
fcis-13865	97	27	category	category	NOUN
fcis-13865	97	28	displays	display	VERB
fcis-13865	97	29	a	a	DET
fcis-13865	97	30	considerable	considerable	ADJ
fcis-13865	97	31	degree	degree	NOUN
fcis-13865	97	32	of	of	ADP
fcis-13865	97	33	consistency	consistency	NOUN
fcis-13865	97	34	.	.	PUNCT
fcis-13865	98	1	therefore	therefore	ADV
fcis-13865	98	2	,	,	PUNCT
fcis-13865	98	3	it	it	PRON
fcis-13865	98	4	provides	provide	VERB
fcis-13865	98	5	an	an	DET
fcis-13865	98	6	effective	effective	ADJ
fcis-13865	98	7	prerequisite	prerequisite	NOUN
fcis-13865	98	8	for	for	ADP
fcis-13865	98	9	high	high	ADJ
fcis-13865	98	10	accuracy	accuracy	NOUN
fcis-13865	98	11	ddos	ddo	NOUN
fcis-13865	98	12	attack	attack	NOUN
fcis-13865	98	13	multiclassification	multiclassification	PROPN
fcis-13865	98	14	task	task	NOUN
fcis-13865	98	15	.	.	PROPN
fcis-13865	99	1	3.2	3.2	NUM
fcis-13865	99	2	.	.	PUNCT
fcis-13865	100	1	scd	scd	NOUN
fcis-13865	100	2	architecture	architecture	NOUN
fcis-13865	100	3	in	in	ADP
fcis-13865	100	4	this	this	DET
fcis-13865	100	5	section	section	NOUN
fcis-13865	100	6	,	,	PUNCT
fcis-13865	100	7	we	we	PRON
fcis-13865	100	8	will	will	AUX
fcis-13865	100	9	introduce	introduce	VERB
fcis-13865	100	10	the	the	DET
fcis-13865	100	11	architecture	architecture	NOUN
fcis-13865	100	12	of	of	ADP
fcis-13865	100	13	scd	scd	PROPN
fcis-13865	100	14	.	.	PUNCT
fcis-13865	101	1	the	the	DET
fcis-13865	101	2	autoencoder	autoencoder	NOUN
fcis-13865	101	3	is	be	AUX
fcis-13865	101	4	a	a	DET
fcis-13865	101	5	type	type	NOUN
fcis-13865	101	6	of	of	ADP
fcis-13865	101	7	artificial	artificial	ADJ
fcis-13865	101	8	neural	neural	ADJ
fcis-13865	101	9	network	network	NOUN
fcis-13865	101	10	that	that	PRON
fcis-13865	101	11	has	have	AUX
fcis-13865	101	12	found	find	VERB
fcis-13865	101	13	widespread	widespread	ADJ
fcis-13865	101	14	use	use	NOUN
fcis-13865	101	15	in	in	ADP
fcis-13865	101	16	a	a	DET
fcis-13865	101	17	variety	variety	NOUN
fcis-13865	101	18	of	of	ADP
fcis-13865	101	19	fields	field	NOUN
fcis-13865	101	20	,	,	PUNCT
fcis-13865	101	21	including	include	VERB
fcis-13865	101	22	data	data	NOUN
fcis-13865	101	23	noise	noise	NOUN
fcis-13865	101	24	filtering	filtering	NOUN
fcis-13865	101	25	and	and	CCONJ
fcis-13865	101	26	image	image	NOUN
fcis-13865	101	27	processing	processing	NOUN
fcis-13865	101	28	.	.	PUNCT
fcis-13865	102	1	the	the	DET
fcis-13865	102	2	rationale	rationale	NOUN
fcis-13865	102	3	for	for	ADP
fcis-13865	102	4	employing	employ	VERB
fcis-13865	102	5	autoencoders	autoencoder	NOUN
fcis-13865	102	6	in	in	ADP
fcis-13865	102	7	this	this	DET
fcis-13865	102	8	work	work	NOUN
fcis-13865	102	9	is	be	AUX
fcis-13865	102	10	that	that	SCONJ
fcis-13865	102	11	,	,	PUNCT
fcis-13865	102	12	when	when	SCONJ
fcis-13865	102	13	compared	compare	VERB
fcis-13865	102	14	to	to	ADP
fcis-13865	102	15	linear	linear	ADJ
fcis-13865	102	16	and	and	CCONJ
fcis-13865	102	17	kernel	kernel	PROPN
fcis-13865	102	18	principal	principal	ADJ
fcis-13865	102	19	component	component	NOUN
fcis-13865	102	20	analysis	analysis	NOUN
fcis-13865	102	21	(	(	PUNCT
fcis-13865	102	22	pca	pca	NOUN
fcis-13865	102	23	)	)	PUNCT
fcis-13865	103	1	[	[	X
fcis-13865	103	2	16	16	NUM
fcis-13865	103	3	]	]	X
fcis-13865	103	4	,	,	PUNCT
fcis-13865	103	5	autoencoder	autoencoder	NOUN
fcis-13865	103	6	can	can	AUX
fcis-13865	103	7	efficiently	efficiently	ADV
fcis-13865	103	8	reduce	reduce	VERB
fcis-13865	103	9	the	the	DET
fcis-13865	103	10	dimensionality	dimensionality	NOUN
fcis-13865	103	11	of	of	ADP
fcis-13865	103	12	input	input	NOUN
fcis-13865	103	13	traffic	traffic	NOUN
fcis-13865	103	14	data	datum	NOUN
fcis-13865	103	15	and	and	CCONJ
fcis-13865	103	16	significantly	significantly	ADV
fcis-13865	103	17	enhance	enhance	VERB
fcis-13865	103	18	the	the	DET
fcis-13865	103	19	accuracy	accuracy	NOUN
fcis-13865	103	20	of	of	ADP
fcis-13865	103	21	detecting	detect	VERB
fcis-13865	103	22	subtle	subtle	ADJ
fcis-13865	103	23	anomalies	anomaly	NOUN
fcis-13865	103	24	in	in	ADP
fcis-13865	103	25	normal	normal	ADJ
fcis-13865	103	26	traffic	traffic	NOUN
fcis-13865	103	27	.	.	PUNCT
fcis-13865	104	1	additionally	additionally	ADV
fcis-13865	104	2	,	,	PUNCT
fcis-13865	104	3	autoencoders	autoencoder	NOUN
fcis-13865	104	4	are	be	AUX
fcis-13865	104	5	simpler	simple	ADJ
fcis-13865	104	6	to	to	PART
fcis-13865	104	7	train	train	VERB
fcis-13865	104	8	and	and	CCONJ
fcis-13865	104	9	do	do	AUX
fcis-13865	104	10	not	not	PART
fcis-13865	104	11	require	require	VERB
fcis-13865	104	12	the	the	DET
fcis-13865	104	13	computationally	computationally	ADV
fcis-13865	104	14	demanding	demanding	ADJ
fcis-13865	104	15	calculations	calculation	NOUN
fcis-13865	104	16	that	that	SCONJ
fcis-13865	104	17	kernel	kernel	PROPN
fcis-13865	104	18	pca	pca	PROPN
fcis-13865	104	19	does	do	VERB
fcis-13865	104	20	.	.	PUNCT
fcis-13865	105	1	the	the	DET
fcis-13865	105	2	sae	sae	PROPN
fcis-13865	105	3	is	be	AUX
fcis-13865	105	4	a	a	DET
fcis-13865	105	5	multi	multi	ADJ
fcis-13865	105	6	-	-	ADJ
fcis-13865	105	7	layer	layer	ADJ
fcis-13865	105	8	network	network	NOUN
fcis-13865	105	9	structure	structure	NOUN
fcis-13865	105	10	that	that	PRON
fcis-13865	105	11	is	be	AUX
fcis-13865	105	12	formed	form	VERB
fcis-13865	105	13	by	by	ADP
fcis-13865	105	14	linking	link	VERB
fcis-13865	105	15	multiple	multiple	ADJ
fcis-13865	105	16	simple	simple	ADJ
fcis-13865	105	17	autoencoders	autoencoder	NOUN
fcis-13865	105	18	together	together	ADV
fcis-13865	105	19	.	.	PUNCT
fcis-13865	106	1	figure	figure	VERB
fcis-13865	106	2	3	3	NUM
fcis-13865	106	3	shows	show	VERB
fcis-13865	106	4	the	the	DET
fcis-13865	106	5	structure	structure	NOUN
fcis-13865	106	6	of	of	ADP
fcis-13865	106	7	a	a	DET
fcis-13865	106	8	single	single	ADJ
fcis-13865	106	9	-	-	PUNCT
fcis-13865	106	10	layer	layer	NOUN
fcis-13865	106	11	autoencoder	autoencoder	NOUN
fcis-13865	106	12	,	,	PUNCT
fcis-13865	106	13	which	which	PRON
fcis-13865	106	14	includes	include	VERB
fcis-13865	106	15	an	an	DET
fcis-13865	106	16	input	input	NOUN
fcis-13865	106	17	layer	layer	NOUN
fcis-13865	106	18	,	,	PUNCT
fcis-13865	106	19	a	a	DET
fcis-13865	106	20	hidden	hidden	ADJ
fcis-13865	106	21	layer	layer	NOUN
fcis-13865	106	22	,	,	PUNCT
fcis-13865	106	23	and	and	CCONJ
fcis-13865	106	24	an	an	DET
fcis-13865	106	25	output	output	NOUN
fcis-13865	106	26	layer	layer	NOUN
fcis-13865	106	27	.	.	PUNCT
fcis-13865	107	1	in	in	ADP
fcis-13865	107	2	the	the	DET
fcis-13865	107	3	sae	sae	PROPN
fcis-13865	107	4	framework	framework	NOUN
fcis-13865	107	5	,	,	PUNCT
fcis-13865	107	6	data	datum	NOUN
fcis-13865	107	7	dimensionality	dimensionality	NOUN
fcis-13865	107	8	reduction	reduction	NOUN
fcis-13865	107	9	is	be	AUX
fcis-13865	107	10	achieved	achieve	VERB
fcis-13865	107	11	through	through	ADP
fcis-13865	107	12	the	the	DET
fcis-13865	107	13	encoding	encoding	NOUN
fcis-13865	107	14	and	and	CCONJ
fcis-13865	107	15	decoding	decode	VERB
fcis-13865	107	16	process	process	NOUN
fcis-13865	107	17	.	.	PUNCT
fcis-13865	108	1	specifically	specifically	ADV
fcis-13865	108	2	,	,	PUNCT
fcis-13865	108	3	the	the	DET
fcis-13865	108	4	input	input	NOUN
fcis-13865	108	5	traffic	traffic	NOUN
fcis-13865	108	6	data	datum	NOUN
fcis-13865	108	7	is	be	AUX
fcis-13865	108	8	represented	represent	VERB
fcis-13865	108	9	by	by	ADP
fcis-13865	108	10	1	1	NUM
fcis-13865	108	11	2	2	NUM
fcis-13865	108	12	n	n	NOUN
fcis-13865	108	13	}	}	PUNCT
fcis-13865	108	14	e	e	X
fcis-13865	108	15	=	=	SYM
fcis-13865	108	16	{	{	PUNCT
fcis-13865	108	17	e	e	NOUN
fcis-13865	108	18	,	,	PUNCT
fcis-13865	108	19	e	e	NOUN
fcis-13865	108	20	,	,	PUNCT
fcis-13865	108	21	...	...	PUNCT
fcis-13865	108	22	,	,	PUNCT
fcis-13865	108	23	e	e	X
fcis-13865	108	24	,	,	PUNCT
fcis-13865	108	25	the	the	DET
fcis-13865	108	26	hidden	hide	VERB
fcis-13865	108	27	layer	layer	NOUN
fcis-13865	108	28	output	output	NOUN
fcis-13865	108	29	is	be	AUX
fcis-13865	108	30	represented	represent	VERB
fcis-13865	108	31	by	by	ADP
fcis-13865	108	32	encoder	encoder	NOUN
fcis-13865	108	33	1	1	NUM
fcis-13865	108	34	2	2	NUM
fcis-13865	108	35	m	m	NOUN
fcis-13865	108	36	}	}	PUNCT
fcis-13865	108	37	g	g	NOUN
fcis-13865	108	38	=	=	PUNCT
fcis-13865	108	39	{	{	PUNCT
fcis-13865	108	40	g	g	PROPN
fcis-13865	108	41	,	,	PUNCT
fcis-13865	108	42	g	g	PROPN
fcis-13865	108	43	,	,	PUNCT
fcis-13865	108	44	...	...	PUNCT
fcis-13865	108	45	,	,	PUNCT
fcis-13865	108	46	g	g	NOUN
fcis-13865	108	47	,	,	PUNCT
fcis-13865	108	48	and	and	CCONJ
fcis-13865	108	49	the	the	DET
fcis-13865	108	50	autoencoder	autoencoder	NOUN
fcis-13865	108	51	output	output	NOUN
fcis-13865	108	52	is	be	AUX
fcis-13865	108	53	represented	represent	VERB
fcis-13865	108	54	by	by	ADP
fcis-13865	108	55	1	1	NUM
fcis-13865	108	56	2	2	NUM
fcis-13865	108	57	}	}	PUNCT
fcis-13865	108	58	{	{	PUNCT
fcis-13865	108	59	,	,	PUNCT
fcis-13865	108	60	,	,	PUNCT
fcis-13865	108	61	...	...	PUNCT
fcis-13865	108	62	,	,	PUNCT
fcis-13865	108	63	decoder	decoder	NOUN
fcis-13865	109	1	np	np	INTJ
fcis-13865	109	2	p	p	X
fcis-13865	109	3	p	p	PROPN
fcis-13865	109	4	p=	p=	PROPN
fcis-13865	109	5	.	.	PUNCT
fcis-13865	110	1	during	during	ADP
fcis-13865	110	2	the	the	DET
fcis-13865	110	3	encoding	encoding	NOUN
fcis-13865	110	4	and	and	CCONJ
fcis-13865	110	5	decoding	decode	VERB
fcis-13865	110	6	process	process	NOUN
fcis-13865	110	7	of	of	ADP
fcis-13865	110	8	sae	sae	PROPN
fcis-13865	110	9	,	,	PUNCT
fcis-13865	110	10	the	the	DET
fcis-13865	110	11	input	input	NOUN
fcis-13865	110	12	data	data	NOUN
fcis-13865	110	13	undergoes	undergo	VERB
fcis-13865	110	14	transformations	transformation	NOUN
fcis-13865	110	15	according	accord	VERB
fcis-13865	110	16	to	to	ADP
fcis-13865	110	17	formulas	formula	NOUN
fcis-13865	110	18	(	(	PUNCT
fcis-13865	110	19	1	1	NUM
fcis-13865	110	20	)	)	PUNCT
fcis-13865	110	21	and	and	CCONJ
fcis-13865	110	22	(	(	PUNCT
fcis-13865	110	23	2	2	NUM
fcis-13865	110	24	)	)	PUNCT
fcis-13865	110	25	:	:	PUNCT
fcis-13865	110	26	(	(	PUNCT
fcis-13865	110	27	)	)	PUNCT
fcis-13865	110	28	encoder	encoder	NOUN
fcis-13865	110	29	a	a	DET
fcis-13865	110	30	n	n	X
fcis-13865	110	31	ag	ag	PROPN
fcis-13865	110	32	=	=	SYM
fcis-13865	111	1	f	f	PROPN
fcis-13865	111	2	w	w	PROPN
fcis-13865	111	3	e	e	PROPN
fcis-13865	111	4	+	+	PROPN
fcis-13865	111	5	b	b	X
fcis-13865	111	6	(	(	PUNCT
fcis-13865	111	7	1	1	NUM
fcis-13865	111	8	)	)	PUNCT
fcis-13865	111	9	(	(	PUNCT
fcis-13865	111	10	)	)	PUNCT
fcis-13865	111	11	decoder	decoder	NOUN
fcis-13865	111	12	encoder	encoder	NOUN
fcis-13865	111	13	p	p	NOUN
fcis-13865	112	1	=	=	PUNCT
fcis-13865	112	2	h	h	PROPN
fcis-13865	112	3	w	w	PROPN
fcis-13865	112	4	g	g	PROPN
fcis-13865	112	5	+	+	PROPN
fcis-13865	112	6	b	b	PROPN
fcis-13865	112	7			PROPN
fcis-13865	112	8	(	(	PUNCT
fcis-13865	112	9	2	2	NUM
fcis-13865	112	10	)	)	PUNCT
fcis-13865	112	11	where	where	SCONJ
fcis-13865	112	12	f	f	X
fcis-13865	112	13	（	（	X
fcis-13865	112	14	）	）	PUNCT
fcis-13865	112	15	and	and	CCONJ
fcis-13865	112	16	h	h	PROPN
fcis-13865	112	17	（	（	PROPN
fcis-13865	112	18	）	）	PUNCT
fcis-13865	112	19	represent	represent	VERB
fcis-13865	112	20	activation	activation	NOUN
fcis-13865	112	21	functions	function	NOUN
fcis-13865	112	22	,	,	PUNCT
fcis-13865	112	23	with	with	ADP
fcis-13865	112	24	sigmoid	sigmoid	NOUN
fcis-13865	112	25	function	function	NOUN
fcis-13865	112	26	being	be	AUX
fcis-13865	112	27	commonly	commonly	ADV
fcis-13865	112	28	selected	select	VERB
fcis-13865	112	29	.	.	PUNCT
fcis-13865	113	1	the	the	DET
fcis-13865	113	2	weight	weight	NOUN
fcis-13865	113	3	matrix	matrix	NOUN
fcis-13865	113	4	w	w	NOUN
fcis-13865	113	5	represents	represent	VERB
fcis-13865	113	6	the	the	DET
fcis-13865	113	7	connections	connection	NOUN
fcis-13865	113	8	between	between	ADP
fcis-13865	113	9	input	input	NOUN
fcis-13865	113	10	layer	layer	NOUN
fcis-13865	113	11	neurons	neuron	NOUN
fcis-13865	113	12	and	and	CCONJ
fcis-13865	113	13	hidden	hidden	ADJ
fcis-13865	113	14	layer	layer	NOUN
fcis-13865	113	15	neurons	neuron	NOUN
fcis-13865	113	16	,	,	PUNCT
fcis-13865	113	17	while	while	SCONJ
fcis-13865	113	18	b	b	NOUN
fcis-13865	113	19	represents	represent	VERB
fcis-13865	113	20	the	the	DET
fcis-13865	113	21	offset	offset	NOUN
fcis-13865	113	22	between	between	ADP
fcis-13865	113	23	input	input	NOUN
fcis-13865	113	24	layer	layer	NOUN
fcis-13865	113	25	neurons	neuron	NOUN
fcis-13865	113	26	and	and	CCONJ
fcis-13865	113	27	hidden	hidden	ADJ
fcis-13865	113	28	layer	layer	NOUN
fcis-13865	113	29	neurons	neuron	NOUN
fcis-13865	113	30	.	.	PUNCT
fcis-13865	114	1	similarly	similarly	ADV
fcis-13865	114	2	,	,	PUNCT
fcis-13865	114	3	weight	weight	NOUN
fcis-13865	114	4	matrix	matrix	NOUN
fcis-13865	114	5	w	w	NOUN
fcis-13865	114	6	denotes	denote	VERB
fcis-13865	114	7	the	the	DET
fcis-13865	114	8	connections	connection	NOUN
fcis-13865	114	9	between	between	ADP
fcis-13865	114	10	output	output	NOUN
fcis-13865	114	11	layer	layer	NOUN
fcis-13865	114	12	neurons	neuron	NOUN
fcis-13865	114	13	and	and	CCONJ
fcis-13865	114	14	hidden	hidden	ADJ
fcis-13865	114	15	layer	layer	NOUN
fcis-13865	114	16	neurons	neuron	NOUN
fcis-13865	114	17	,	,	PUNCT
fcis-13865	114	18	while	while	SCONJ
fcis-13865	114	19	bias	bias	NOUN
fcis-13865	114	20	b	b	PROPN
fcis-13865	114	21	is	be	AUX
fcis-13865	114	22	the	the	DET
fcis-13865	114	23	offset	offset	NOUN
fcis-13865	114	24	between	between	ADP
fcis-13865	114	25	output	output	NOUN
fcis-13865	114	26	layer	layer	NOUN
fcis-13865	114	27	neurons	neuron	NOUN
fcis-13865	114	28	and	and	CCONJ
fcis-13865	114	29	hidden	hidden	ADJ
fcis-13865	114	30	layer	layer	NOUN
fcis-13865	114	31	neurons	neuron	NOUN
fcis-13865	114	32	.	.	PUNCT
fcis-13865	115	1	the	the	DET
fcis-13865	115	2	autoencoder	autoencoder	NOUN
fcis-13865	115	3	network	network	NOUN
fcis-13865	115	4	’s	’s	PART
fcis-13865	115	5	training	training	NOUN
fcis-13865	115	6	process	process	NOUN
fcis-13865	115	7	involves	involve	VERB
fcis-13865	115	8	continuous	continuous	ADJ
fcis-13865	115	9	training	training	NOUN
fcis-13865	115	10	of	of	ADP
fcis-13865	115	11	parameters	parameter	NOUN
fcis-13865	115	12	a{w	a{w	PROPN
fcis-13865	115	13	,	,	PUNCT
fcis-13865	115	14	w	w	NOUN
fcis-13865	115	15	}	}	PUNCT
fcis-13865	115	16			PROPN
fcis-13865	115	17	and	and	CCONJ
fcis-13865	115	18	b	b	PROPN
fcis-13865	115	19	ba	ba	PROPN
fcis-13865	115	20	{	{	PUNCT
fcis-13865	115	21	,	,	PUNCT
fcis-13865	115	22	}	}	PUNCT
fcis-13865	115	23			VERB
fcis-13865	115	24	through	through	ADP
fcis-13865	115	25	forward	forward	ADV
fcis-13865	115	26	and	and	CCONJ
fcis-13865	115	27	backpropagation	backpropagation	NOUN
fcis-13865	115	28	algorithms	algorithm	NOUN
fcis-13865	115	29	to	to	PART
fcis-13865	115	30	minimize	minimize	VERB
fcis-13865	115	31	the	the	DET
fcis-13865	115	32	loss	loss	NOUN
fcis-13865	115	33	function	function	NOUN
fcis-13865	115	34	.	.	PUNCT
fcis-13865	116	1	figure	figure	VERB
fcis-13865	116	2	3	3	NUM
fcis-13865	116	3	.	.	PUNCT
fcis-13865	117	1	a	a	DET
fcis-13865	117	2	single	single	ADJ
fcis-13865	117	3	layer	layer	NOUN
fcis-13865	117	4	autoencoder	autoencoder	NOUN
fcis-13865	117	5	structure	structure	NOUN
fcis-13865	117	6	in	in	ADP
fcis-13865	117	7	our	our	PRON
fcis-13865	117	8	sae	sae	PROPN
fcis-13865	117	9	network	network	PROPN
fcis-13865	117	10	.	.	PUNCT
fcis-13865	118	1	sae	sae	PROPN
fcis-13865	118	2	extracts	extract	NOUN
fcis-13865	118	3	effective	effective	ADJ
fcis-13865	118	4	features	feature	NOUN
fcis-13865	118	5	of	of	ADP
fcis-13865	118	6	data	datum	NOUN
fcis-13865	118	7	,	,	PUNCT
fcis-13865	118	8	achieving	achieve	VERB
fcis-13865	118	9	effective	effective	ADJ
fcis-13865	118	10	dimensionality	dimensionality	NOUN
fcis-13865	118	11	reduction	reduction	NOUN
fcis-13865	118	12	and	and	CCONJ
fcis-13865	118	13	input	input	NOUN
fcis-13865	118	14	signal	signal	NOUN
fcis-13865	118	15	reconstructions	reconstruction	NOUN
fcis-13865	118	16	in	in	ADP
fcis-13865	118	17	the	the	DET
fcis-13865	118	18	hidden	hide	VERB
fcis-13865	118	19	layer	layer	NOUN
fcis-13865	118	20	.	.	PUNCT
fcis-13865	119	1	upon	upon	SCONJ
fcis-13865	119	2	analyzing	analyze	VERB
fcis-13865	119	3	sae	sae	PROPN
fcis-13865	119	4	and	and	CCONJ
fcis-13865	119	5	cnn	cnn	PROPN
fcis-13865	119	6	,	,	PUNCT
fcis-13865	119	7	it	it	PRON
fcis-13865	119	8	can	can	AUX
fcis-13865	119	9	be	be	AUX
fcis-13865	119	10	seen	see	VERB
fcis-13865	119	11	that	that	SCONJ
fcis-13865	119	12	they	they	PRON
fcis-13865	119	13	both	both	PRON
fcis-13865	119	14	utilize	utilize	VERB
fcis-13865	119	15	similar	similar	ADJ
fcis-13865	119	16	principles	principle	NOUN
fcis-13865	119	17	of	of	ADP
fcis-13865	119	18	forward	forward	ADJ
fcis-13865	119	19	propagation	propagation	NOUN
fcis-13865	119	20	and	and	CCONJ
fcis-13865	119	21	error	error	NOUN
fcis-13865	119	22	backpropagation	backpropagation	NOUN
fcis-13865	119	23	based	base	VERB
fcis-13865	119	24	on	on	ADP
fcis-13865	119	25	gradient	gradient	ADJ
fcis-13865	119	26	descent	descent	NOUN
fcis-13865	119	27	,	,	PUNCT
fcis-13865	119	28	providing	provide	VERB
fcis-13865	119	29	a	a	DET
fcis-13865	119	30	theoretical	theoretical	ADJ
fcis-13865	119	31	basis	basis	NOUN
fcis-13865	119	32	for	for	ADP
fcis-13865	119	33	network	network	NOUN
fcis-13865	119	34	fusion	fusion	NOUN
fcis-13865	119	35	during	during	ADP
fcis-13865	119	36	training	training	NOUN
fcis-13865	119	37	.	.	PUNCT
fcis-13865	120	1	combining	combine	VERB
fcis-13865	120	2	sae	sae	PROPN
fcis-13865	120	3	and	and	CCONJ
fcis-13865	120	4	cnn	cnn	PROPN
fcis-13865	120	5	enables	enable	VERB
fcis-13865	120	6	the	the	DET
fcis-13865	120	7	full	full	ADJ
fcis-13865	120	8	utilization	utilization	NOUN
fcis-13865	120	9	of	of	ADP
fcis-13865	120	10	sae	sae	PROPN
fcis-13865	120	11	’s	’s	PART
fcis-13865	120	12	data	datum	NOUN
fcis-13865	120	13	dimensionality	dimensionality	NOUN
fcis-13865	120	14	reduction	reduction	NOUN
fcis-13865	120	15	and	and	CCONJ
fcis-13865	120	16	cnn	cnn	PROPN
fcis-13865	120	17	’s	’s	PART
fcis-13865	120	18	feature	feature	NOUN
fcis-13865	120	19	extraction	extraction	NOUN
fcis-13865	120	20	and	and	CCONJ
fcis-13865	120	21	classification	classification	NOUN
fcis-13865	120	22	abilities	ability	NOUN
fcis-13865	120	23	,	,	PUNCT
fcis-13865	120	24	allowing	allow	VERB
fcis-13865	120	25	for	for	ADP
fcis-13865	120	26	the	the	DET
fcis-13865	120	27	detection	detection	NOUN
fcis-13865	120	28	of	of	ADP
fcis-13865	120	29	ddos	ddos	NOUN
fcis-13865	120	30	attacks	attack	NOUN
fcis-13865	120	31	in	in	ADP
fcis-13865	120	32	a	a	DET
fcis-13865	120	33	single	single	ADJ
fcis-13865	120	34	network	network	NOUN
fcis-13865	120	35	model	model	NOUN
fcis-13865	120	36	.	.	PUNCT
fcis-13865	121	1	onedimensional	onedimensional	ADJ
fcis-13865	121	2	convolution	convolution	NOUN
fcis-13865	121	3	is	be	AUX
fcis-13865	121	4	believed	believe	VERB
fcis-13865	121	5	to	to	PART
fcis-13865	121	6	be	be	AUX
fcis-13865	121	7	an	an	DET
fcis-13865	121	8	ideal	ideal	ADJ
fcis-13865	121	9	choice	choice	NOUN
fcis-13865	121	10	for	for	ADP
fcis-13865	121	11	ddos	ddos	NOUN
fcis-13865	121	12	attacks	attack	NOUN
fcis-13865	121	13	detection	detection	NOUN
fcis-13865	121	14	as	as	SCONJ
fcis-13865	121	15	it	it	PRON
fcis-13865	121	16	captures	capture	VERB
fcis-13865	121	17	the	the	DET
fcis-13865	121	18	spatial	spatial	ADJ
fcis-13865	121	19	dependence	dependence	NOUN
fcis-13865	121	20	between	between	ADP
fcis-13865	121	21	adjacent	adjacent	ADJ
fcis-13865	121	22	bytes	byte	NOUN
fcis-13865	121	23	in	in	ADP
fcis-13865	121	24	network	network	NOUN
fcis-13865	121	25	packets	packet	NOUN
fcis-13865	121	26	and	and	CCONJ
fcis-13865	121	27	finds	find	VERB
fcis-13865	121	28	discriminative	discriminative	NOUN
fcis-13865	121	29	patterns	pattern	NOUN
fcis-13865	121	30	for	for	ADP
fcis-13865	121	31	each	each	DET
fcis-13865	121	32	attack	attack	NOUN
fcis-13865	121	33	type	type	NOUN
fcis-13865	121	34	,	,	PUNCT
fcis-13865	121	35	accurately	accurately	ADV
fcis-13865	121	36	classifying	classify	VERB
fcis-13865	121	37	ddos	ddos	NOUN
fcis-13865	121	38	attack	attack	NOUN
fcis-13865	121	39	types	type	NOUN
fcis-13865	121	40	.	.	PUNCT
fcis-13865	122	1	the	the	DET
fcis-13865	122	2	detailed	detailed	ADJ
fcis-13865	122	3	workflow	workflow	NOUN
fcis-13865	122	4	of	of	ADP
fcis-13865	122	5	cnn	cnn	PROPN
fcis-13865	122	6	is	be	AUX
fcis-13865	122	7	shown	show	VERB
fcis-13865	122	8	in	in	ADP
fcis-13865	122	9	figure	figure	NOUN
fcis-13865	122	10	4	4	NUM
fcis-13865	122	11	.	.	PUNCT
fcis-13865	123	1	our	our	PRON
fcis-13865	123	2	classification	classification	NOUN
fcis-13865	123	3	results	result	NOUN
fcis-13865	123	4	confirm	confirm	VERB
fcis-13865	123	5	the	the	DET
fcis-13865	123	6	effectiveness	effectiveness	NOUN
fcis-13865	123	7	of	of	ADP
fcis-13865	123	8	one	one	NUM
fcis-13865	123	9	-	-	PUNCT
fcis-13865	123	10	dimensional	dimensional	ADJ
fcis-13865	123	11	convolution	convolution	NOUN
fcis-13865	123	12	in	in	ADP
fcis-13865	123	13	feature	feature	NOUN
fcis-13865	123	14	extraction	extraction	NOUN
fcis-13865	123	15	for	for	ADP
fcis-13865	123	16	network	network	NOUN
fcis-13865	123	17	traffic	traffic	NOUN
fcis-13865	123	18	data	datum	NOUN
fcis-13865	123	19	.	.	PUNCT
fcis-13865	124	1	formula	formula	NOUN
fcis-13865	124	2	(	(	PUNCT
fcis-13865	124	3	3	3	X
fcis-13865	124	4	)	)	PUNCT
fcis-13865	124	5	represents	represent	VERB
fcis-13865	124	6	the	the	DET
fcis-13865	124	7	one	one	NUM
fcis-13865	124	8	-	-	PUNCT
fcis-13865	124	9	dimensional	dimensional	ADJ
fcis-13865	124	10	convolution	convolution	NOUN
fcis-13865	124	11	operation	operation	NOUN
fcis-13865	124	12	:	:	PUNCT
fcis-13865	125	1	j	j	PROPN
fcis-13865	125	2	ij	ij	INTJ
fcis-13865	125	3	j	j	PROPN
fcis-13865	126	1	i	i	INTJ
fcis-13865	126	2	y	y	NOUN
fcis-13865	126	3	=	=	PUNCT
fcis-13865	127	1	k	k	PROPN
fcis-13865	127	2	*	*	PUNCT
fcis-13865	127	3	x	x	PUNCT
fcis-13865	128	1			NOUN
fcis-13865	128	2			PROPN
fcis-13865	128	3			PROPN
fcis-13865	128	4			PROPN
fcis-13865	129	1			PROPN
fcis-13865	129	2			PROPN
fcis-13865	130	1			PROPN
fcis-13865	130	2			PROPN
fcis-13865	130	3	γ	γ	X
fcis-13865	130	4	(	(	PUNCT
fcis-13865	130	5	3	3	NUM
fcis-13865	130	6	)	)	PUNCT
fcis-13865	130	7	the	the	DET
fcis-13865	130	8	third	third	ADJ
fcis-13865	130	9	equation	equation	NOUN
fcis-13865	130	10	of	of	ADP
fcis-13865	130	11	the	the	DET
fcis-13865	130	12	model	model	NOUN
fcis-13865	130	13	is	be	AUX
fcis-13865	130	14	denoted	denote	VERB
fcis-13865	130	15	by	by	ADP
fcis-13865	130	16	jy	jy	PROPN
fcis-13865	130	17	,	,	PUNCT
fcis-13865	130	18	where	where	SCONJ
fcis-13865	130	19	jx	jx	PROPN
fcis-13865	130	20	represents	represent	VERB
fcis-13865	130	21	the	the	DET
fcis-13865	130	22	thj	thj	NOUN
fcis-13865	130	23	of	of	ADP
fcis-13865	130	24	the	the	DET
fcis-13865	130	25	input	input	NOUN
fcis-13865	130	26	feature	feature	NOUN
fcis-13865	130	27	map	map	NOUN
fcis-13865	130	28	,	,	PUNCT
fcis-13865	130	29	and	and	CCONJ
fcis-13865	130	30	i	i	PRON
fcis-13865	130	31	denotes	denote	VERB
fcis-13865	130	32	the	the	DET
fcis-13865	130	33	one	one	NUM
fcis-13865	130	34	-	-	PUNCT
fcis-13865	130	35	dimensional	dimensional	ADJ
fcis-13865	130	36	convolution	convolution	NOUN
fcis-13865	130	37	layer	layer	NOUN
fcis-13865	130	38	.	.	PUNCT
fcis-13865	131	1	the	the	DET
fcis-13865	131	2	convolution	convolution	NOUN
fcis-13865	131	3	kernel	kernel	PROPN
fcis-13865	131	4	ijk	ijk	PROPN
fcis-13865	131	5	is	be	AUX
fcis-13865	131	6	utilized	utilize	VERB
fcis-13865	131	7	,	,	PUNCT
fcis-13865	131	8	and	and	CCONJ
fcis-13865	131	9	the	the	DET
fcis-13865	131	10	convolution	convolution	NOUN
fcis-13865	131	11	operation	operation	NOUN
fcis-13865	131	12	is	be	AUX
fcis-13865	131	13	performed	perform	VERB
fcis-13865	131	14	with	with	ADP
fcis-13865	131	15	“	"	PUNCT
fcis-13865	131	16	same	same	ADJ
fcis-13865	131	17	”	"	PUNCT
fcis-13865	131	18	padding	padding	NOUN
fcis-13865	131	19	,	,	PUNCT
fcis-13865	131	20	denoted	denote	VERB
fcis-13865	131	21	by	by	ADP
fcis-13865	131	22	*	*	PROPN
fcis-13865	131	23	.	.	PUNCT
fcis-13865	132	1	the	the	DET
fcis-13865	132	2	activation	activation	NOUN
fcis-13865	132	3	function	function	VERB
fcis-13865	132	4	γ	γ	X
fcis-13865	132	5	(	(	PUNCT
fcis-13865	132	6	)	)	PUNCT
fcis-13865	132	7	used	use	VERB
fcis-13865	132	8	for	for	ADP
fcis-13865	132	9	non	non	ADJ
fcis-13865	132	10	-	-	ADJ
fcis-13865	132	11	linear	linear	ADJ
fcis-13865	132	12	processing	processing	NOUN
fcis-13865	132	13	is	be	AUX
fcis-13865	132	14	rectified	rectify	VERB
fcis-13865	132	15	linear	linear	ADJ
fcis-13865	132	16	units	unit	NOUN
fcis-13865	132	17	(	(	PUNCT
fcis-13865	132	18	relu	relu	NOUN
fcis-13865	132	19	)	)	PUNCT
fcis-13865	132	20	,	,	PUNCT
fcis-13865	132	21	and	and	CCONJ
fcis-13865	132	22	no	no	DET
fcis-13865	132	23	bias	bias	NOUN
fcis-13865	132	24	is	be	AUX
fcis-13865	132	25	incorporated	incorporate	VERB
fcis-13865	132	26	into	into	ADP
fcis-13865	132	27	the	the	DET
fcis-13865	132	28	convolution	convolution	NOUN
fcis-13865	132	29	layer	layer	NOUN
fcis-13865	132	30	.	.	PUNCT
fcis-13865	133	1	97	97	NUM
fcis-13865	133	2	figure	figure	NOUN
fcis-13865	133	3	4	4	NUM
fcis-13865	133	4	.	.	PUNCT
fcis-13865	134	1	the	the	DET
fcis-13865	134	2	detailed	detailed	ADJ
fcis-13865	134	3	workflow	workflow	NOUN
fcis-13865	134	4	of	of	ADP
fcis-13865	134	5	cnn	cnn	PROPN
fcis-13865	134	6	by	by	ADP
fcis-13865	134	7	integrating	integrate	VERB
fcis-13865	134	8	the	the	DET
fcis-13865	134	9	robust	robust	ADJ
fcis-13865	134	10	data	datum	NOUN
fcis-13865	134	11	feature	feature	NOUN
fcis-13865	134	12	extraction	extraction	NOUN
fcis-13865	134	13	capability	capability	NOUN
fcis-13865	134	14	of	of	ADP
fcis-13865	134	15	sae	sae	PROPN
fcis-13865	134	16	and	and	CCONJ
fcis-13865	134	17	the	the	DET
fcis-13865	134	18	classification	classification	NOUN
fcis-13865	134	19	ability	ability	NOUN
fcis-13865	134	20	of	of	ADP
fcis-13865	134	21	cnn	cnn	PROPN
fcis-13865	134	22	.	.	PUNCT
fcis-13865	135	1	the	the	DET
fcis-13865	135	2	network	network	NOUN
fcis-13865	135	3	architecture	architecture	NOUN
fcis-13865	135	4	is	be	AUX
fcis-13865	135	5	composed	compose	VERB
fcis-13865	135	6	of	of	ADP
fcis-13865	135	7	four	four	NUM
fcis-13865	135	8	fundamental	fundamental	ADJ
fcis-13865	135	9	parts	part	NOUN
fcis-13865	135	10	:	:	PUNCT
fcis-13865	135	11	data	datum	NOUN
fcis-13865	135	12	input	input	NOUN
fcis-13865	135	13	,	,	PUNCT
fcis-13865	135	14	data	datum	NOUN
fcis-13865	135	15	dimension	dimension	NOUN
fcis-13865	135	16	reduction	reduction	NOUN
fcis-13865	135	17	,	,	PUNCT
fcis-13865	135	18	cnn	cnn	PROPN
fcis-13865	135	19	feature	feature	NOUN
fcis-13865	135	20	extraction	extraction	NOUN
fcis-13865	135	21	,	,	PUNCT
fcis-13865	135	22	and	and	CCONJ
fcis-13865	135	23	data	datum	NOUN
fcis-13865	135	24	classification	classification	NOUN
fcis-13865	135	25	.	.	PUNCT
fcis-13865	136	1	notably	notably	ADV
fcis-13865	136	2	,	,	PUNCT
fcis-13865	136	3	the	the	DET
fcis-13865	136	4	high	high	ADV
fcis-13865	136	5	-	-	PUNCT
fcis-13865	136	6	dimensional	dimensional	ADJ
fcis-13865	136	7	vector	vector	NOUN
fcis-13865	136	8	increases	increase	VERB
fcis-13865	136	9	the	the	DET
fcis-13865	136	10	number	number	NOUN
fcis-13865	136	11	of	of	ADP
fcis-13865	136	12	parameters	parameter	NOUN
fcis-13865	136	13	for	for	ADP
fcis-13865	136	14	the	the	DET
fcis-13865	136	15	network	network	NOUN
fcis-13865	136	16	model	model	NOUN
fcis-13865	136	17	storage	storage	NOUN
fcis-13865	136	18	and	and	CCONJ
fcis-13865	136	19	operation	operation	NOUN
fcis-13865	136	20	,	,	PUNCT
fcis-13865	136	21	leading	lead	VERB
fcis-13865	136	22	to	to	ADP
fcis-13865	136	23	elevated	elevate	VERB
fcis-13865	136	24	training	training	NOUN
fcis-13865	136	25	time	time	NOUN
fcis-13865	136	26	cost	cost	NOUN
fcis-13865	136	27	.	.	PUNCT
fcis-13865	137	1	to	to	PART
fcis-13865	137	2	address	address	VERB
fcis-13865	137	3	issues	issue	NOUN
fcis-13865	137	4	arising	arise	VERB
fcis-13865	137	5	from	from	ADP
fcis-13865	137	6	vectors	vector	NOUN
fcis-13865	137	7	with	with	ADP
fcis-13865	137	8	high	high	ADJ
fcis-13865	137	9	dimensions	dimension	NOUN
fcis-13865	137	10	,	,	PUNCT
fcis-13865	137	11	a	a	DET
fcis-13865	137	12	sae	sae	PROPN
fcis-13865	137	13	is	be	AUX
fcis-13865	137	14	constructed	construct	VERB
fcis-13865	137	15	to	to	PART
fcis-13865	137	16	reduce	reduce	VERB
fcis-13865	137	17	the	the	DET
fcis-13865	137	18	input	input	NOUN
fcis-13865	137	19	data	data	NOUN
fcis-13865	137	20	dimensionality	dimensionality	NOUN
fcis-13865	137	21	from	from	ADP
fcis-13865	137	22	784	784	NUM
fcis-13865	137	23	to	to	PART
fcis-13865	137	24	256	256	NUM
fcis-13865	137	25	-	-	SYM
fcis-13865	137	26	128	128	NUM
fcis-13865	137	27	-	-	PUNCT
fcis-13865	137	28	64	64	NUM
fcis-13865	137	29	-	-	SYM
fcis-13865	137	30	24	24	NUM
fcis-13865	137	31	.	.	PUNCT
fcis-13865	138	1	for	for	ADP
fcis-13865	138	2	the	the	DET
fcis-13865	138	3	cnn	cnn	PROPN
fcis-13865	138	4	feature	feature	NOUN
fcis-13865	138	5	extraction	extraction	NOUN
fcis-13865	138	6	,	,	PUNCT
fcis-13865	138	7	a	a	DET
fcis-13865	138	8	threebranch	threebranch	NOUN
fcis-13865	138	9	parallel	parallel	ADJ
fcis-13865	138	10	one	one	NUM
fcis-13865	138	11	-	-	PUNCT
fcis-13865	138	12	dimensional	dimensional	ADJ
fcis-13865	138	13	convolutional	convolutional	ADJ
fcis-13865	138	14	neural	neural	ADJ
fcis-13865	138	15	network	network	NOUN
fcis-13865	138	16	structure	structure	NOUN
fcis-13865	138	17	is	be	AUX
fcis-13865	138	18	constructed	construct	VERB
fcis-13865	138	19	based	base	VERB
fcis-13865	138	20	on	on	ADP
fcis-13865	138	21	the	the	DET
fcis-13865	138	22	inception	inception	NOUN
fcis-13865	138	23	module	module	NOUN
fcis-13865	138	24	structure	structure	NOUN
fcis-13865	138	25	.	.	PUNCT
fcis-13865	139	1	multiple	multiple	ADJ
fcis-13865	139	2	parallel	parallel	ADJ
fcis-13865	139	3	cnn	cnn	PROPN
fcis-13865	139	4	branches	branch	NOUN
fcis-13865	139	5	are	be	AUX
fcis-13865	139	6	utilized	utilize	VERB
fcis-13865	139	7	to	to	PART
fcis-13865	139	8	extract	extract	VERB
fcis-13865	139	9	features	feature	NOUN
fcis-13865	139	10	with	with	ADP
fcis-13865	139	11	different	different	ADJ
fcis-13865	139	12	receptive	receptive	ADJ
fcis-13865	139	13	fields	field	NOUN
fcis-13865	139	14	.	.	PUNCT
fcis-13865	140	1	specifically	specifically	ADV
fcis-13865	140	2	,	,	PUNCT
fcis-13865	140	3	branch	branch	NOUN
fcis-13865	140	4	1	1	NUM
fcis-13865	140	5	employs	employ	VERB
fcis-13865	140	6	20	20	NUM
fcis-13865	140	7	1×3	1×3	NUM
fcis-13865	140	8	convolution	convolution	NOUN
fcis-13865	140	9	kernels	kernel	NOUN
fcis-13865	140	10	followed	follow	VERB
fcis-13865	140	11	by	by	ADP
fcis-13865	140	12	60	60	NUM
fcis-13865	140	13	1×3	1×3	NUM
fcis-13865	140	14	convolution	convolution	NOUN
fcis-13865	140	15	kernels	kernel	NOUN
fcis-13865	140	16	,	,	PUNCT
fcis-13865	140	17	branch	branch	NOUN
fcis-13865	140	18	2	2	NUM
fcis-13865	140	19	uses	use	VERB
fcis-13865	140	20	60	60	NUM
fcis-13865	140	21	1×3	1×3	NUM
fcis-13865	140	22	convolution	convolution	NOUN
fcis-13865	140	23	kernels	kernel	NOUN
fcis-13865	140	24	,	,	PUNCT
fcis-13865	140	25	and	and	CCONJ
fcis-13865	140	26	branch	branch	NOUN
fcis-13865	140	27	3	3	NUM
fcis-13865	140	28	uses	use	VERB
fcis-13865	140	29	50	50	NUM
fcis-13865	140	30	1×3	1×3	NUM
fcis-13865	140	31	convolution	convolution	NOUN
fcis-13865	140	32	kernels	kernel	NOUN
fcis-13865	140	33	.	.	PUNCT
fcis-13865	141	1	after	after	SCONJ
fcis-13865	141	2	each	each	DET
fcis-13865	141	3	convolution	convolution	NOUN
fcis-13865	141	4	operation	operation	NOUN
fcis-13865	141	5	,	,	PUNCT
fcis-13865	141	6	batch	batch	VERB
fcis-13865	141	7	normalization	normalization	NOUN
fcis-13865	141	8	(	(	PUNCT
fcis-13865	141	9	bn	bn	NOUN
fcis-13865	141	10	)	)	PUNCT
fcis-13865	141	11	layer	layer	NOUN
fcis-13865	141	12	and	and	CCONJ
fcis-13865	141	13	relu	relu	NOUN
fcis-13865	141	14	layer	layer	NOUN
fcis-13865	141	15	are	be	AUX
fcis-13865	141	16	added	add	VERB
fcis-13865	141	17	.	.	PUNCT
fcis-13865	142	1	in	in	ADP
fcis-13865	142	2	the	the	DET
fcis-13865	142	3	data	data	NOUN
fcis-13865	142	4	classification	classification	NOUN
fcis-13865	142	5	part	part	NOUN
fcis-13865	142	6	,	,	PUNCT
fcis-13865	142	7	the	the	DET
fcis-13865	142	8	add	add	ADJ
fcis-13865	142	9	operation	operation	NOUN
fcis-13865	142	10	is	be	AUX
fcis-13865	142	11	utilized	utilize	VERB
fcis-13865	142	12	to	to	PART
fcis-13865	142	13	accumulate	accumulate	VERB
fcis-13865	142	14	the	the	DET
fcis-13865	142	15	extracted	extract	VERB
fcis-13865	142	16	feature	feature	NOUN
fcis-13865	142	17	activation	activation	NOUN
fcis-13865	142	18	values	value	NOUN
fcis-13865	142	19	from	from	ADP
fcis-13865	142	20	the	the	DET
fcis-13865	142	21	three	three	NUM
fcis-13865	142	22	branches	branch	NOUN
fcis-13865	142	23	.	.	PUNCT
fcis-13865	143	1	local	local	ADJ
fcis-13865	143	2	response	response	NOUN
fcis-13865	143	3	normalization	normalization	NOUN
fcis-13865	143	4	(	(	PUNCT
fcis-13865	143	5	lrn	lrn	PROPN
fcis-13865	143	6	)	)	PUNCT
fcis-13865	143	7	is	be	AUX
fcis-13865	143	8	incorporated	incorporate	VERB
fcis-13865	143	9	to	to	PART
fcis-13865	143	10	penalize	penalize	VERB
fcis-13865	143	11	abnormal	abnormal	ADJ
fcis-13865	143	12	responses	response	NOUN
fcis-13865	143	13	for	for	ADP
fcis-13865	143	14	better	well	ADJ
fcis-13865	143	15	generalization	generalization	NOUN
fcis-13865	143	16	.	.	PUNCT
fcis-13865	144	1	finally	finally	ADV
fcis-13865	144	2	,	,	PUNCT
fcis-13865	144	3	the	the	DET
fcis-13865	144	4	softmax	softmax	NOUN
fcis-13865	144	5	classifier	classifier	NOUN
fcis-13865	144	6	is	be	AUX
fcis-13865	144	7	used	use	VERB
fcis-13865	144	8	to	to	PART
fcis-13865	144	9	obtain	obtain	VERB
fcis-13865	144	10	the	the	DET
fcis-13865	144	11	probability	probability	NOUN
fcis-13865	144	12	results	result	NOUN
fcis-13865	144	13	of	of	ADP
fcis-13865	144	14	n	n	DET
fcis-13865	144	15	classes	class	NOUN
fcis-13865	144	16	for	for	ADP
fcis-13865	144	17	classification	classification	NOUN
fcis-13865	144	18	.	.	PUNCT
fcis-13865	145	1	then	then	ADV
fcis-13865	145	2	,	,	PUNCT
fcis-13865	145	3	in	in	ADP
fcis-13865	145	4	the	the	DET
fcis-13865	145	5	last	last	ADJ
fcis-13865	145	6	stage	stage	NOUN
fcis-13865	145	7	of	of	ADP
fcis-13865	145	8	the	the	DET
fcis-13865	145	9	onedimensional	onedimensional	ADJ
fcis-13865	145	10	cnn	cnn	PROPN
fcis-13865	145	11	-	-	PUNCT
fcis-13865	145	12	based	base	VERB
fcis-13865	145	13	scd	scd	NOUN
fcis-13865	145	14	classifier	classifier	NOUN
fcis-13865	145	15	,	,	PUNCT
fcis-13865	145	16	the	the	DET
fcis-13865	145	17	softmax	softmax	NOUN
fcis-13865	145	18	classifier	classifier	NOUN
fcis-13865	145	19	obtains	obtain	VERB
fcis-13865	145	20	the	the	DET
fcis-13865	145	21	output	output	NOUN
fcis-13865	145	22	label	label	NOUN
fcis-13865	145	23	.	.	PUNCT
fcis-13865	146	1	softmax	softmax	PROPN
fcis-13865	146	2	classifier	classifier	NOUN
fcis-13865	146	3	is	be	AUX
fcis-13865	146	4	defined	define	VERB
fcis-13865	146	5	as	as	SCONJ
fcis-13865	146	6	follows	follow	VERB
fcis-13865	146	7	:	:	PUNCT
fcis-13865	146	8	exp	exp	NOUN
fcis-13865	146	9	(	(	PUNCT
fcis-13865	146	10	)	)	PUNCT
fcis-13865	146	11	exp	exp	NOUN
fcis-13865	146	12	(	(	PUNCT
fcis-13865	146	13	)	)	PUNCT
fcis-13865	146	14	m	m	VERB
fcis-13865	146	15	i	i	PRON
fcis-13865	146	16	output	output	VERB
fcis-13865	146	17	l	l	NOUN
fcis-13865	146	18	output	output	NOUN
fcis-13865	146	19	=	=	PUNCT
fcis-13865	146	20			X
fcis-13865	146	21	(	(	PUNCT
fcis-13865	146	22	4	4	NUM
fcis-13865	146	23	)	)	PUNCT
fcis-13865	146	24	where	where	SCONJ
fcis-13865	146	25	moutput	moutput	NOUN
fcis-13865	146	26	is	be	AUX
fcis-13865	146	27	the	the	DET
fcis-13865	146	28	output	output	NOUN
fcis-13865	146	29	data	datum	NOUN
fcis-13865	146	30	of	of	ADP
fcis-13865	146	31	thm	thm	PROPN
fcis-13865	146	32	neuron	neuron	PROPN
fcis-13865	146	33	in	in	ADP
fcis-13865	146	34	the	the	DET
fcis-13865	146	35	connected	connected	ADJ
fcis-13865	146	36	layer	layer	NOUN
fcis-13865	146	37	.	.	PUNCT
fcis-13865	147	1	1	1	NUM
fcis-13865	147	2	,	,	PUNCT
fcis-13865	147	3	2	2	NUM
fcis-13865	147	4	,	,	PUNCT
fcis-13865	147	5	3	3	NUM
fcis-13865	147	6	,	,	PUNCT
fcis-13865	147	7	{	{	PUNCT
fcis-13865	147	8	...	...	PUNCT
fcis-13865	147	9	,	,	PUNCT
fcis-13865	147	10	}	}	PUNCT
fcis-13865	147	11	nl	nl	NOUN
fcis-13865	147	12	l	l	NOUN
fcis-13865	147	13	l	l	NOUN
fcis-13865	147	14	l	l	NOUN
fcis-13865	147	15	l=	l=	ADJ
fcis-13865	147	16	is	be	AUX
fcis-13865	147	17	the	the	DET
fcis-13865	147	18	complete	complete	ADJ
fcis-13865	147	19	set	set	NOUN
fcis-13865	147	20	of	of	ADP
fcis-13865	147	21	classes	class	NOUN
fcis-13865	147	22	and	and	CCONJ
fcis-13865	147	23	n	n	PRON
fcis-13865	147	24	denotes	denote	VERB
fcis-13865	147	25	the	the	DET
fcis-13865	147	26	total	total	ADJ
fcis-13865	147	27	number	number	NOUN
fcis-13865	147	28	of	of	ADP
fcis-13865	147	29	classes	class	NOUN
fcis-13865	147	30	.	.	PUNCT
fcis-13865	148	1	the	the	DET
fcis-13865	148	2	output	output	NOUN
fcis-13865	148	3	with	with	ADP
fcis-13865	148	4	the	the	DET
fcis-13865	148	5	highest	high	ADJ
fcis-13865	148	6	probability	probability	NOUN
fcis-13865	148	7	indicates	indicate	VERB
fcis-13865	148	8	the	the	DET
fcis-13865	148	9	class	class	NOUN
fcis-13865	148	10	of	of	ADP
fcis-13865	148	11	the	the	DET
fcis-13865	148	12	input	input	NOUN
fcis-13865	148	13	value	value	NOUN
fcis-13865	148	14	.	.	PUNCT
fcis-13865	149	1	to	to	PART
fcis-13865	149	2	be	be	AUX
fcis-13865	149	3	notified	notify	VERB
fcis-13865	149	4	that	that	SCONJ
fcis-13865	149	5	we	we	PRON
fcis-13865	149	6	used	use	VERB
fcis-13865	149	7	adam	adam	PROPN
fcis-13865	149	8	optimizer	optimizer	NOUN
fcis-13865	149	9	in	in	ADP
fcis-13865	149	10	scd	scd	PROPN
fcis-13865	149	11	.	.	PROPN
fcis-13865	150	1	4	4	X
fcis-13865	150	2	.	.	X
fcis-13865	150	3	experimental	experimental	ADJ
fcis-13865	150	4	analysis	analysis	NOUN
fcis-13865	150	5	4.1	4.1	NUM
fcis-13865	150	6	.	.	PUNCT
fcis-13865	151	1	environment	environment	NOUN
fcis-13865	151	2	and	and	CCONJ
fcis-13865	151	3	metrics	metric	NOUN
fcis-13865	151	4	pytorch	pytorch	NOUN
fcis-13865	151	5	serves	serve	VERB
fcis-13865	151	6	as	as	ADP
fcis-13865	151	7	the	the	DET
fcis-13865	151	8	experimental	experimental	ADJ
fcis-13865	151	9	software	software	NOUN
fcis-13865	151	10	framework	framework	NOUN
fcis-13865	151	11	and	and	CCONJ
fcis-13865	151	12	operates	operate	VERB
fcis-13865	151	13	on	on	ADP
fcis-13865	151	14	a	a	DET
fcis-13865	151	15	windows	window	NOUN
fcis-13865	151	16	64	64	NUM
fcis-13865	151	17	-	-	PUNCT
fcis-13865	151	18	bit	bit	NOUN
fcis-13865	151	19	operating	operate	VERB
fcis-13865	151	20	system	system	NOUN
fcis-13865	151	21	.	.	PUNCT
fcis-13865	152	1	the	the	DET
fcis-13865	152	2	server	server	NOUN
fcis-13865	152	3	consists	consist	VERB
fcis-13865	152	4	of	of	ADP
fcis-13865	152	5	an	an	DET
fcis-13865	152	6	r7	r7	PROPN
fcis-13865	152	7	5800h	5800h	NUM
fcis-13865	152	8	cpu	cpu	NOUN
fcis-13865	152	9	and	and	CCONJ
fcis-13865	152	10	16	16	NUM
fcis-13865	152	11	gb	gb	NOUN
fcis-13865	152	12	of	of	ADP
fcis-13865	152	13	memory	memory	NOUN
fcis-13865	152	14	,	,	PUNCT
fcis-13865	152	15	with	with	ADP
fcis-13865	152	16	an	an	DET
fcis-13865	152	17	encoder	encoder	NOUN
fcis-13865	152	18	decoder	decoder	NOUN
fcis-13865	152	19	nvidia	nvidia	PROPN
fcis-13865	152	20	geforce	geforce	PROPN
fcis-13865	152	21	rtx	rtx	PROPN
fcis-13865	152	22	2060	2060	NUM
fcis-13865	152	23	gpu	gpu	NOUN
fcis-13865	152	24	employed	employ	VERB
fcis-13865	152	25	as	as	ADP
fcis-13865	152	26	an	an	DET
fcis-13865	152	27	accelerator	accelerator	NOUN
fcis-13865	152	28	.	.	PUNCT
fcis-13865	153	1	a	a	DET
fcis-13865	153	2	random	random	ADJ
fcis-13865	153	3	selection	selection	NOUN
fcis-13865	153	4	of	of	ADP
fcis-13865	153	5	10	10	NUM
fcis-13865	153	6	%	%	NOUN
fcis-13865	153	7	of	of	ADP
fcis-13865	153	8	the	the	DET
fcis-13865	153	9	data	datum	NOUN
fcis-13865	153	10	is	be	AUX
fcis-13865	153	11	utilized	utilize	VERB
fcis-13865	153	12	as	as	ADP
fcis-13865	153	13	the	the	DET
fcis-13865	153	14	testing	testing	NOUN
fcis-13865	153	15	dataset	dataset	NOUN
fcis-13865	153	16	,	,	PUNCT
fcis-13865	153	17	while	while	SCONJ
fcis-13865	153	18	the	the	DET
fcis-13865	153	19	remaining	remain	VERB
fcis-13865	153	20	data	datum	NOUN
fcis-13865	153	21	is	be	AUX
fcis-13865	153	22	utilized	utilize	VERB
fcis-13865	153	23	for	for	ADP
fcis-13865	153	24	training	training	NOUN
fcis-13865	153	25	purposes	purpose	NOUN
fcis-13865	153	26	.	.	PUNCT
fcis-13865	154	1	the	the	DET
fcis-13865	154	2	conventional	conventional	ADJ
fcis-13865	154	3	performance	performance	NOUN
fcis-13865	154	4	metrics	metric	NOUN
fcis-13865	154	5	,	,	PUNCT
fcis-13865	154	6	including	include	VERB
fcis-13865	154	7	accuracy	accuracy	NOUN
fcis-13865	154	8	(	(	PUNCT
fcis-13865	154	9	acc	acc	PROPN
fcis-13865	154	10	)	)	PUNCT
fcis-13865	154	11	,	,	PUNCT
fcis-13865	154	12	precision	precision	NOUN
fcis-13865	154	13	(	(	PUNCT
fcis-13865	154	14	prec	prec	PROPN
fcis-13865	154	15	)	)	PUNCT
fcis-13865	154	16	,	,	PUNCT
fcis-13865	154	17	recall	recall	INTJ
fcis-13865	154	18	(	(	PUNCT
fcis-13865	154	19	recall	recall	NOUN
fcis-13865	154	20	)	)	PUNCT
fcis-13865	154	21	,	,	PUNCT
fcis-13865	154	22	and	and	CCONJ
fcis-13865	154	23	f1	f1	NOUN
fcis-13865	154	24	score	score	NOUN
fcis-13865	154	25	(	(	PUNCT
fcis-13865	154	26	f1	f1	NOUN
fcis-13865	154	27	)	)	PUNCT
fcis-13865	154	28	,	,	PUNCT
fcis-13865	154	29	are	be	AUX
fcis-13865	154	30	employed	employ	VERB
fcis-13865	154	31	and	and	CCONJ
fcis-13865	154	32	defined	define	VERB
fcis-13865	154	33	as	as	SCONJ
fcis-13865	154	34	follows	follow	VERB
fcis-13865	154	35	:	:	PUNCT
fcis-13865	154	36	acc=	acc=	PROPN
fcis-13865	154	37	tp	tp	ADP
fcis-13865	154	38	tn	tn	PROPN
fcis-13865	154	39	tp	tp	ADP
fcis-13865	154	40	fp	fp	PROPN
fcis-13865	154	41	fn	fn	NOUN
fcis-13865	154	42	tn	tn	PROPN
fcis-13865	155	1	+	+	CCONJ
fcis-13865	156	1	+	+	PUNCT
fcis-13865	156	2	+	+	CCONJ
fcis-13865	156	3	+	+	CCONJ
fcis-13865	156	4	,	,	PUNCT
fcis-13865	156	5	prec=	prec=	NUM
fcis-13865	156	6	tp	tp	ADP
fcis-13865	156	7	tp	tp	ADP
fcis-13865	156	8	fp+	fp+	PROPN
fcis-13865	156	9	,	,	PUNCT
fcis-13865	156	10	recall=	recall=	NOUN
fcis-13865	156	11	tp	tp	X
fcis-13865	156	12	tp	tp	ADP
fcis-13865	156	13	fn+	fn+	NOUN
fcis-13865	156	14	,	,	PUNCT
fcis-13865	156	15	2*precision*recall	2*precision*recall	NUM
fcis-13865	156	16	1	1	NUM
fcis-13865	156	17	precision+recall	precision+recall	PROPN
fcis-13865	156	18	f	f	PROPN
fcis-13865	157	1	=	=	PUNCT
fcis-13865	157	2	.	.	PUNCT
fcis-13865	158	1	where	where	SCONJ
fcis-13865	158	2	tp	tp	NOUN
fcis-13865	158	3	is	be	AUX
fcis-13865	158	4	true	true	ADJ
fcis-13865	158	5	positive	positive	ADJ
fcis-13865	158	6	,	,	PUNCT
fcis-13865	158	7	namely	namely	ADV
fcis-13865	158	8	the	the	DET
fcis-13865	158	9	number	number	NOUN
fcis-13865	158	10	of	of	ADP
fcis-13865	158	11	correctly	correctly	ADV
fcis-13865	158	12	classified	classified	ADJ
fcis-13865	158	13	cases	case	NOUN
fcis-13865	158	14	as	as	ADP
fcis-13865	158	15	a	a	DET
fcis-13865	158	16	specific	specific	ADJ
fcis-13865	158	17	class	class	NOUN
fcis-13865	158	18	;	;	PUNCT
fcis-13865	158	19	fp	fp	X
fcis-13865	158	20	is	be	AUX
fcis-13865	158	21	false	false	ADJ
fcis-13865	158	22	positive	positive	ADJ
fcis-13865	158	23	,	,	PUNCT
fcis-13865	158	24	namely	namely	ADV
fcis-13865	158	25	the	the	DET
fcis-13865	158	26	number	number	NOUN
fcis-13865	158	27	of	of	ADP
fcis-13865	158	28	misclassified	misclassified	ADJ
fcis-13865	158	29	cases	case	NOUN
fcis-13865	158	30	that	that	PRON
fcis-13865	158	31	classified	classify	VERB
fcis-13865	158	32	as	as	ADP
fcis-13865	158	33	that	that	DET
fcis-13865	158	34	class	class	NOUN
fcis-13865	158	35	;	;	PUNCT
fcis-13865	158	36	fn	fn	NUM
fcis-13865	158	37	,	,	PUNCT
fcis-13865	158	38	false	false	ADJ
fcis-13865	158	39	negative	negative	NOUN
fcis-13865	158	40	,	,	PUNCT
fcis-13865	158	41	which	which	PRON
fcis-13865	158	42	is	be	AUX
fcis-13865	158	43	the	the	DET
fcis-13865	158	44	number	number	NOUN
fcis-13865	158	45	of	of	ADP
fcis-13865	158	46	cases	case	NOUN
fcis-13865	158	47	that	that	PRON
fcis-13865	158	48	are	be	AUX
fcis-13865	158	49	supposed	suppose	VERB
fcis-13865	158	50	to	to	PART
fcis-13865	158	51	be	be	AUX
fcis-13865	158	52	classified	classify	VERB
fcis-13865	158	53	as	as	ADP
fcis-13865	158	54	that	that	DET
fcis-13865	158	55	class	class	NOUN
fcis-13865	158	56	,	,	PUNCT
fcis-13865	158	57	yet	yet	ADV
fcis-13865	158	58	misclassified	misclassifie	VERB
fcis-13865	158	59	as	as	ADP
fcis-13865	158	60	other	other	ADJ
fcis-13865	158	61	classes	class	NOUN
fcis-13865	158	62	;	;	PUNCT
fcis-13865	158	63	tn	tn	PROPN
fcis-13865	158	64	,	,	PUNCT
fcis-13865	158	65	true	true	ADJ
fcis-13865	158	66	negative	negative	ADJ
fcis-13865	158	67	,	,	PUNCT
fcis-13865	158	68	which	which	PRON
fcis-13865	158	69	is	be	AUX
fcis-13865	158	70	the	the	DET
fcis-13865	158	71	number	number	NOUN
fcis-13865	158	72	of	of	ADP
fcis-13865	158	73	cases	case	NOUN
fcis-13865	158	74	that	that	PRON
fcis-13865	158	75	correctly	correctly	ADV
fcis-13865	158	76	classified	classify	VERB
fcis-13865	158	77	as	as	ADP
fcis-13865	158	78	not	not	PART
fcis-13865	158	79	that	that	DET
fcis-13865	158	80	specific	specific	ADJ
fcis-13865	158	81	class	class	NOUN
fcis-13865	158	82	.	.	PUNCT
fcis-13865	159	1	4.2	4.2	NUM
fcis-13865	159	2	.	.	PUNCT
fcis-13865	160	1	datasets	dataset	NOUN
fcis-13865	160	2	this	this	DET
fcis-13865	160	3	paper	paper	NOUN
fcis-13865	160	4	utilizes	utilize	VERB
fcis-13865	160	5	a	a	DET
fcis-13865	160	6	current	current	ADJ
fcis-13865	160	7	and	and	CCONJ
fcis-13865	160	8	all	all	PRON
fcis-13865	160	9	-	-	PUNCT
fcis-13865	160	10	inclusive	inclusive	ADJ
fcis-13865	160	11	ddos	ddos	NOUN
fcis-13865	160	12	attack	attack	NOUN
fcis-13865	160	13	dataset	dataset	VERB
fcis-13865	160	14	known	know	VERB
fcis-13865	160	15	as	as	ADP
fcis-13865	160	16	cic	cic	NOUN
fcis-13865	160	17	-	-	PUNCT
fcis-13865	160	18	ddos2019	ddos2019	VERB
fcis-13865	161	1	[	[	X
fcis-13865	161	2	17	17	NUM
fcis-13865	161	3	]	]	PUNCT
fcis-13865	161	4	,	,	PUNCT
fcis-13865	161	5	which	which	PRON
fcis-13865	161	6	was	be	AUX
fcis-13865	161	7	developed	develop	VERB
fcis-13865	161	8	by	by	ADP
fcis-13865	161	9	the	the	DET
fcis-13865	161	10	canadian	canadian	PROPN
fcis-13865	161	11	institute	institute	PROPN
fcis-13865	161	12	for	for	ADP
fcis-13865	161	13	cybersecurity	cybersecurity	NOUN
fcis-13865	161	14	(	(	PUNCT
fcis-13865	161	15	cic	cic	PROPN
fcis-13865	161	16	)	)	PUNCT
fcis-13865	161	17	at	at	ADP
fcis-13865	161	18	the	the	DET
fcis-13865	161	19	university	university	NOUN
fcis-13865	161	20	of	of	ADP
fcis-13865	161	21	new	new	PROPN
fcis-13865	161	22	brunswick	brunswick	PROPN
fcis-13865	161	23	.	.	PUNCT
fcis-13865	162	1	the	the	DET
fcis-13865	162	2	dataset	dataset	NOUN
fcis-13865	162	3	was	be	AUX
fcis-13865	162	4	generated	generate	VERB
fcis-13865	162	5	daily	daily	ADV
fcis-13865	162	6	and	and	CCONJ
fcis-13865	162	7	consists	consist	VERB
fcis-13865	162	8	of	of	ADP
fcis-13865	162	9	network	network	NOUN
fcis-13865	162	10	traffic	traffic	NOUN
fcis-13865	162	11	flow	flow	NOUN
fcis-13865	162	12	that	that	PRON
fcis-13865	162	13	has	have	AUX
fcis-13865	162	14	been	be	AUX
fcis-13865	162	15	analyzed	analyze	VERB
fcis-13865	162	16	and	and	CCONJ
fcis-13865	162	17	labeled	label	VERB
fcis-13865	162	18	as	as	ADP
fcis-13865	162	19	either	either	CCONJ
fcis-13865	162	20	benign	benign	ADJ
fcis-13865	162	21	or	or	CCONJ
fcis-13865	162	22	as	as	ADP
fcis-13865	162	23	a	a	DET
fcis-13865	162	24	ddos	ddos	NOUN
fcis-13865	162	25	attack	attack	NOUN
fcis-13865	162	26	.	.	PUNCT
fcis-13865	163	1	the	the	DET
fcis-13865	163	2	cic	cic	PROPN
fcis-13865	163	3	-	-	PUNCT
fcis-13865	163	4	ddos2019	ddos2019	VERB
fcis-13865	163	5	dataset	dataset	NOUN
fcis-13865	163	6	serves	serve	VERB
fcis-13865	163	7	as	as	ADP
fcis-13865	163	8	a	a	DET
fcis-13865	163	9	representation	representation	NOUN
fcis-13865	163	10	of	of	ADP
fcis-13865	163	11	realworld	realworld	PROPN
fcis-13865	163	12	data	data	PROPN
fcis-13865	163	13	.	.	PUNCT
fcis-13865	164	1	in	in	ADP
fcis-13865	164	2	this	this	DET
fcis-13865	164	3	paper	paper	NOUN
fcis-13865	164	4	,	,	PUNCT
fcis-13865	164	5	we	we	PRON
fcis-13865	164	6	have	have	VERB
fcis-13865	164	7	classified	classify	VERB
fcis-13865	164	8	ddos	ddos	NOUN
fcis-13865	164	9	attacks	attack	NOUN
fcis-13865	164	10	into	into	ADP
fcis-13865	164	11	two	two	NUM
fcis-13865	164	12	major	major	ADJ
fcis-13865	164	13	categories	category	NOUN
fcis-13865	164	14	:	:	PUNCT
fcis-13865	164	15	reflection	reflection	NOUN
fcis-13865	164	16	-	-	PUNCT
fcis-13865	164	17	based	base	VERB
fcis-13865	164	18	ddos	ddos	NOUN
fcis-13865	164	19	attacks	attack	NOUN
fcis-13865	164	20	and	and	CCONJ
fcis-13865	164	21	exploitation	exploitation	NOUN
fcis-13865	164	22	-	-	PUNCT
fcis-13865	164	23	based	base	VERB
fcis-13865	164	24	ddos	ddos	NOUN
fcis-13865	164	25	attacks	attack	NOUN
fcis-13865	164	26	.	.	PUNCT
fcis-13865	165	1	furthermore	furthermore	ADV
fcis-13865	165	2	,	,	PUNCT
fcis-13865	165	3	we	we	PRON
fcis-13865	165	4	have	have	AUX
fcis-13865	165	5	further	far	ADV
fcis-13865	165	6	divided	divide	VERB
fcis-13865	165	7	these	these	DET
fcis-13865	165	8	attacks	attack	NOUN
fcis-13865	165	9	into	into	ADP
fcis-13865	165	10	12	12	NUM
fcis-13865	165	11	subcategories	subcategorie	NOUN
fcis-13865	165	12	(	(	PUNCT
fcis-13865	165	13	mssql	mssql	NOUN
fcis-13865	165	14	,	,	PUNCT
fcis-13865	165	15	ssdp	ssdp	NOUN
fcis-13865	165	16	,	,	PUNCT
fcis-13865	165	17	ntp	ntp	NOUN
fcis-13865	165	18	,	,	PUNCT
fcis-13865	165	19	tftp	tftp	NOUN
fcis-13865	165	20	,	,	PUNCT
fcis-13865	165	21	dns	dns	NOUN
fcis-13865	165	22	,	,	PUNCT
fcis-13865	165	23	ldap	ldap	PROPN
fcis-13865	165	24	,	,	PUNCT
fcis-13865	165	25	netbios	netbio	NOUN
fcis-13865	165	26	,	,	PUNCT
fcis-13865	165	27	snmp	snmp	PROPN
fcis-13865	165	28	,	,	PUNCT
fcis-13865	165	29	port	port	NOUN
fcis-13865	165	30	map	map	NOUN
fcis-13865	165	31	,	,	PUNCT
fcis-13865	165	32	syn	syn	PROPN
fcis-13865	165	33	-	-	PUNCT
fcis-13865	165	34	flood	flood	NOUN
fcis-13865	165	35	,	,	PUNCT
fcis-13865	165	36	udp	udp	NOUN
fcis-13865	165	37	-	-	NOUN
fcis-13865	165	38	flood	flood	NOUN
fcis-13865	165	39	and	and	CCONJ
fcis-13865	165	40	udp	udp	NOUN
fcis-13865	165	41	-	-	NOUN
fcis-13865	165	42	lag	lag	NOUN
fcis-13865	165	43	)	)	PUNCT
fcis-13865	165	44	,	,	PUNCT
fcis-13865	165	45	in	in	ADP
fcis-13865	165	46	addition	addition	NOUN
fcis-13865	165	47	to	to	ADP
fcis-13865	165	48	benign	benign	ADJ
fcis-13865	165	49	traffic	traffic	NOUN
fcis-13865	165	50	,	,	PUNCT
fcis-13865	165	51	resulting	result	VERB
fcis-13865	165	52	in	in	ADP
fcis-13865	165	53	a	a	DET
fcis-13865	165	54	total	total	NOUN
fcis-13865	165	55	of	of	ADP
fcis-13865	165	56	13	13	NUM
fcis-13865	165	57	classes	class	NOUN
fcis-13865	165	58	.	.	PUNCT
fcis-13865	166	1	therefore	therefore	ADV
fcis-13865	166	2	,	,	PUNCT
fcis-13865	166	3	the	the	DET
fcis-13865	166	4	experimental	experimental	ADJ
fcis-13865	166	5	process	process	NOUN
fcis-13865	166	6	can	can	AUX
fcis-13865	166	7	be	be	AUX
fcis-13865	166	8	simplified	simplify	VERB
fcis-13865	166	9	into	into	ADP
fcis-13865	166	10	a	a	DET
fcis-13865	166	11	multi	multi	ADJ
fcis-13865	166	12	-	-	ADJ
fcis-13865	166	13	classification	classification	ADJ
fcis-13865	166	14	task	task	NOUN
fcis-13865	166	15	for	for	ADP
fcis-13865	166	16	network	network	NOUN
fcis-13865	166	17	traffic	traffic	NOUN
fcis-13865	166	18	under	under	ADP
fcis-13865	166	19	a	a	DET
fcis-13865	166	20	ddos	ddos	NOUN
fcis-13865	166	21	attack	attack	NOUN
fcis-13865	166	22	,	,	PUNCT
fcis-13865	166	23	which	which	PRON
fcis-13865	166	24	serves	serve	VERB
fcis-13865	166	25	as	as	ADP
fcis-13865	166	26	experiment	experiment	NOUN
fcis-13865	166	27	scenario	scenario	NOUN
fcis-13865	166	28	one	one	NUM
fcis-13865	166	29	.	.	PUNCT
fcis-13865	167	1	this	this	DET
fcis-13865	167	2	paper	paper	NOUN
fcis-13865	167	3	also	also	ADV
fcis-13865	167	4	merges	merge	VERB
fcis-13865	167	5	all	all	DET
fcis-13865	167	6	attack	attack	NOUN
fcis-13865	167	7	labels	label	NOUN
fcis-13865	167	8	into	into	ADP
fcis-13865	167	9	a	a	DET
fcis-13865	167	10	“	"	PUNCT
fcis-13865	167	11	ddos	ddos	NOUN
fcis-13865	167	12	”	"	PUNCT
fcis-13865	167	13	label	label	NOUN
fcis-13865	167	14	combined	combine	VERB
fcis-13865	167	15	with	with	ADP
fcis-13865	167	16	the	the	DET
fcis-13865	167	17	benign	benign	ADJ
fcis-13865	167	18	label	label	NOUN
fcis-13865	167	19	to	to	PART
fcis-13865	167	20	perform	perform	VERB
fcis-13865	167	21	a	a	DET
fcis-13865	167	22	binary	binary	ADJ
fcis-13865	167	23	classification	classification	NOUN
fcis-13865	167	24	task	task	NOUN
fcis-13865	167	25	for	for	ADP
fcis-13865	167	26	network	network	NOUN
fcis-13865	167	27	traffic	traffic	NOUN
fcis-13865	167	28	under	under	ADP
fcis-13865	167	29	a	a	DET
fcis-13865	167	30	ddos	ddos	NOUN
fcis-13865	167	31	attack	attack	NOUN
fcis-13865	167	32	,	,	PUNCT
fcis-13865	167	33	which	which	PRON
fcis-13865	167	34	serves	serve	VERB
fcis-13865	167	35	as	as	ADP
fcis-13865	167	36	experiment	experiment	NOUN
fcis-13865	167	37	scenario	scenario	NOUN
fcis-13865	167	38	two	two	NUM
fcis-13865	167	39	.	.	PUNCT
fcis-13865	168	1	after	after	ADP
fcis-13865	168	2	analysis	analysis	NOUN
fcis-13865	168	3	,	,	PUNCT
fcis-13865	168	4	there	there	PRON
fcis-13865	168	5	is	be	VERB
fcis-13865	168	6	a	a	DET
fcis-13865	168	7	problem	problem	NOUN
fcis-13865	168	8	of	of	ADP
fcis-13865	168	9	data	datum	NOUN
fcis-13865	168	10	imbalance	imbalance	NOUN
fcis-13865	168	11	in	in	ADP
fcis-13865	168	12	the	the	DET
fcis-13865	168	13	cic	cic	PROPN
fcis-13865	168	14	-	-	PUNCT
fcis-13865	168	15	ddos2019	ddos2019	VERB
fcis-13865	168	16	dataset	dataset	NOUN
fcis-13865	168	17	,	,	PUNCT
fcis-13865	168	18	while	while	SCONJ
fcis-13865	168	19	the	the	DET
fcis-13865	168	20	portmap	portmap	NOUN
fcis-13865	168	21	,	,	PUNCT
fcis-13865	168	22	benign	benign	ADJ
fcis-13865	168	23	traffic	traffic	NOUN
fcis-13865	168	24	,	,	PUNCT
fcis-13865	168	25	and	and	CCONJ
fcis-13865	168	26	udp	udp	NOUN
fcis-13865	168	27	-	-	ADJ
fcis-13865	168	28	lag	lag	NOUN
fcis-13865	168	29	categories	category	NOUN
fcis-13865	168	30	have	have	VERB
fcis-13865	168	31	small	small	ADJ
fcis-13865	168	32	percentages	percentage	NOUN
fcis-13865	168	33	of	of	ADP
fcis-13865	168	34	occurrence	occurrence	NOUN
fcis-13865	168	35	.	.	PUNCT
fcis-13865	169	1	this	this	DET
fcis-13865	169	2	imbalance	imbalance	NOUN
fcis-13865	169	3	can	can	AUX
fcis-13865	169	4	lead	lead	VERB
fcis-13865	169	5	to	to	ADP
fcis-13865	169	6	a	a	DET
fcis-13865	169	7	long	long	ADJ
fcis-13865	169	8	-	-	PUNCT
fcis-13865	169	9	tail	tail	NOUN
fcis-13865	169	10	effect	effect	NOUN
fcis-13865	169	11	during	during	ADP
fcis-13865	169	12	model	model	NOUN
fcis-13865	169	13	training	training	NOUN
fcis-13865	169	14	,	,	PUNCT
fcis-13865	169	15	biasing	bias	VERB
fcis-13865	169	16	the	the	DET
fcis-13865	169	17	classification	classification	NOUN
fcis-13865	169	18	results	result	NOUN
fcis-13865	169	19	towards	towards	ADP
fcis-13865	169	20	the	the	DET
fcis-13865	169	21	majority	majority	NOUN
fcis-13865	169	22	classes	class	NOUN
fcis-13865	169	23	and	and	CCONJ
fcis-13865	169	24	resulting	result	VERB
fcis-13865	169	25	in	in	ADP
fcis-13865	169	26	reduced	reduce	VERB
fcis-13865	169	27	sensitivity	sensitivity	NOUN
fcis-13865	169	28	towards	towards	ADP
fcis-13865	169	29	the	the	DET
fcis-13865	169	30	minority	minority	NOUN
fcis-13865	169	31	classes	class	NOUN
fcis-13865	169	32	,	,	PUNCT
fcis-13865	169	33	ultimately	ultimately	ADV
fcis-13865	169	34	leading	lead	VERB
fcis-13865	169	35	to	to	ADP
fcis-13865	169	36	subpar	subpar	ADJ
fcis-13865	169	37	classification	classification	NOUN
fcis-13865	169	38	performance	performance	NOUN
fcis-13865	169	39	.	.	PUNCT
fcis-13865	170	1	to	to	PART
fcis-13865	170	2	address	address	VERB
fcis-13865	170	3	this	this	DET
fcis-13865	170	4	issue	issue	NOUN
fcis-13865	170	5	,	,	PUNCT
fcis-13865	170	6	we	we	PRON
fcis-13865	170	7	performed	perform	VERB
fcis-13865	170	8	undersampling	undersample	VERB
fcis-13865	170	9	on	on	ADP
fcis-13865	170	10	the	the	DET
fcis-13865	170	11	densely	densely	ADV
fcis-13865	170	12	populated	populate	VERB
fcis-13865	170	13	tftp	tftp	ADJ
fcis-13865	170	14	class	class	NOUN
fcis-13865	170	15	to	to	PART
fcis-13865	170	16	mitigate	mitigate	VERB
fcis-13865	170	17	its	its	PRON
fcis-13865	170	18	impact	impact	NOUN
fcis-13865	170	19	on	on	ADP
fcis-13865	170	20	the	the	DET
fcis-13865	170	21	overall	overall	ADJ
fcis-13865	170	22	model	model	NOUN
fcis-13865	170	23	.	.	PUNCT
fcis-13865	171	1	additionally	additionally	ADV
fcis-13865	171	2	,	,	PUNCT
fcis-13865	171	3	we	we	PRON
fcis-13865	171	4	applied	apply	VERB
fcis-13865	171	5	the	the	DET
fcis-13865	171	6	smote	smote	ADJ
fcis-13865	171	7	oversampling	oversample	VERB
fcis-13865	171	8	technique	technique	NOUN
fcis-13865	171	9	to	to	PART
fcis-13865	171	10	generate	generate	VERB
fcis-13865	171	11	synthetic	synthetic	ADJ
fcis-13865	171	12	data	datum	NOUN
fcis-13865	171	13	for	for	ADP
fcis-13865	171	14	the	the	DET
fcis-13865	171	15	sparse	sparse	ADJ
fcis-13865	171	16	classes	class	NOUN
fcis-13865	171	17	,	,	PUNCT
fcis-13865	171	18	thereby	thereby	ADV
fcis-13865	171	19	augmenting	augment	VERB
fcis-13865	171	20	their	their	PRON
fcis-13865	171	21	influence	influence	NOUN
fcis-13865	171	22	on	on	ADP
fcis-13865	171	23	the	the	DET
fcis-13865	171	24	overall	overall	ADJ
fcis-13865	171	25	model	model	NOUN
fcis-13865	171	26	.	.	PUNCT
fcis-13865	172	1	these	these	DET
fcis-13865	172	2	series	series	NOUN
fcis-13865	172	3	of	of	ADP
fcis-13865	172	4	operations	operation	NOUN
fcis-13865	172	5	collectively	collectively	ADV
fcis-13865	172	6	contribute	contribute	VERB
fcis-13865	172	7	to	to	ADP
fcis-13865	172	8	achieving	achieve	VERB
fcis-13865	172	9	class	class	NOUN
fcis-13865	172	10	balance	balance	NOUN
fcis-13865	172	11	within	within	ADP
fcis-13865	172	12	the	the	DET
fcis-13865	172	13	dataset	dataset	NOUN
fcis-13865	172	14	.	.	PUNCT
fcis-13865	173	1	the	the	DET
fcis-13865	173	2	content	content	NOUN
fcis-13865	173	3	of	of	ADP
fcis-13865	173	4	the	the	DET
fcis-13865	173	5	smote	smote	ADJ
fcis-13865	173	6	algorithm	algorithm	NOUN
fcis-13865	173	7	can	can	AUX
fcis-13865	173	8	be	be	AUX
fcis-13865	173	9	described	describe	VERB
fcis-13865	173	10	as	as	SCONJ
fcis-13865	173	11	follows	follow	VERB
fcis-13865	173	12	:	:	PUNCT
fcis-13865	173	13	for	for	SCONJ
fcis-13865	173	14	each	each	DET
fcis-13865	173	15	sample	sample	NOUN
fcis-13865	173	16	s	s	VERB
fcis-13865	173	17	in	in	ADP
fcis-13865	173	18	the	the	DET
fcis-13865	173	19	minority	minority	NOUN
fcis-13865	173	20	class	class	NOUN
fcis-13865	173	21	,	,	PUNCT
fcis-13865	173	22	the	the	DET
fcis-13865	173	23	algorithm	algorithm	NOUN
fcis-13865	173	24	calculates	calculate	VERB
fcis-13865	173	25	the	the	DET
fcis-13865	173	26	euclidean	euclidean	ADJ
fcis-13865	173	27	distance	distance	NOUN
fcis-13865	173	28	to	to	ADP
fcis-13865	173	29	its	its	PRON
fcis-13865	173	30	nearest	near	ADJ
fcis-13865	173	31	neighbors	neighbor	NOUN
fcis-13865	173	32	within	within	ADP
fcis-13865	173	33	the	the	DET
fcis-13865	173	34	same	same	ADJ
fcis-13865	173	35	class	class	NOUN
fcis-13865	173	36	,	,	PUNCT
fcis-13865	173	37	obtaining	obtain	VERB
fcis-13865	173	38	the	the	DET
fcis-13865	173	39	k	k	NOUN
fcis-13865	173	40	-	-	PUNCT
fcis-13865	173	41	nearest	near	ADJ
fcis-13865	173	42	neighbors	neighbor	NOUN
fcis-13865	173	43	for	for	ADP
fcis-13865	173	44	that	that	DET
fcis-13865	173	45	minority	minority	NOUN
fcis-13865	173	46	class	class	NOUN
fcis-13865	173	47	.	.	PUNCT
fcis-13865	174	1	the	the	DET
fcis-13865	174	2	synthetic	synthetic	ADJ
fcis-13865	174	3	data	data	NOUN
fcis-13865	174	4	point	point	NOUN
fcis-13865	174	5	ss	ss	NOUN
fcis-13865	174	6	is	be	AUX
fcis-13865	174	7	generated	generate	VERB
fcis-13865	174	8	by	by	ADP
fcis-13865	174	9	taking	take	VERB
fcis-13865	174	10	the	the	DET
fcis-13865	174	11	difference	difference	NOUN
fcis-13865	174	12	between	between	ADP
fcis-13865	174	13	sample	sample	NOUN
fcis-13865	174	14	s	s	NOUN
fcis-13865	174	15	and	and	CCONJ
fcis-13865	174	16	its	its	PRON
fcis-13865	174	17	closest	close	ADJ
fcis-13865	174	18	neighbor	neighbor	NOUN
fcis-13865	174	19	ns	ns	NUM
fcis-13865	174	20	multiplying	multiply	VERB
fcis-13865	174	21	it	it	PRON
fcis-13865	174	22	by	by	ADP
fcis-13865	174	23	a	a	DET
fcis-13865	174	24	random	random	ADJ
fcis-13865	174	25	number	number	NOUN
fcis-13865	174	26	r	r	NOUN
fcis-13865	174	27	within	within	ADP
fcis-13865	174	28	the	the	DET
fcis-13865	174	29	range	range	NOUN
fcis-13865	174	30	of	of	ADP
fcis-13865	174	31	0	0	NUM
fcis-13865	174	32	to	to	PART
fcis-13865	174	33	1	1	NUM
fcis-13865	174	34	,	,	PUNCT
fcis-13865	174	35	and	and	CCONJ
fcis-13865	174	36	finally	finally	ADV
fcis-13865	174	37	adding	add	VERB
fcis-13865	174	38	this	this	DET
fcis-13865	174	39	difference	difference	NOUN
fcis-13865	174	40	to	to	ADP
fcis-13865	174	41	the	the	DET
fcis-13865	174	42	vector	vector	NOUN
fcis-13865	174	43	of	of	ADP
fcis-13865	174	44	sample	sample	NOUN
fcis-13865	174	45	s.	s.	PROPN
fcis-13865	174	46	the	the	DET
fcis-13865	174	47	formula	formula	NOUN
fcis-13865	174	48	for	for	ADP
fcis-13865	174	49	the	the	DET
fcis-13865	174	50	smote	smote	ADJ
fcis-13865	174	51	algorithm	algorithm	NOUN
fcis-13865	174	52	is	be	AUX
fcis-13865	174	53	represented	represent	VERB
fcis-13865	174	54	by	by	ADP
fcis-13865	174	55	equation	equation	NOUN
fcis-13865	174	56	(	(	PUNCT
fcis-13865	174	57	5	5	NUM
fcis-13865	174	58	):	):	PUNCT
fcis-13865	175	1	×(s	×(s	NOUN
fcis-13865	175	2	-	-	PUNCT
fcis-13865	175	3	s	s	NOUN
fcis-13865	175	4	)	)	PUNCT
fcis-13865	175	5	s	s	PART
fcis-13865	176	1	ns	ns	NUM
fcis-13865	176	2	s	s	PART
fcis-13865	176	3	r=	r=	ADJ
fcis-13865	177	1	+	+	CCONJ
fcis-13865	178	1	(	(	PUNCT
fcis-13865	178	2	5	5	NUM
fcis-13865	178	3	)	)	PUNCT
fcis-13865	178	4	after	after	ADP
fcis-13865	178	5	employing	employ	VERB
fcis-13865	178	6	this	this	DET
fcis-13865	178	7	method	method	NOUN
fcis-13865	178	8	,	,	PUNCT
fcis-13865	178	9	the	the	DET
fcis-13865	178	10	data	data	NOUN
fcis-13865	178	11	quantities	quantity	NOUN
fcis-13865	178	12	of	of	ADP
fcis-13865	178	13	all	all	DET
fcis-13865	178	14	13	13	NUM
fcis-13865	178	15	98	98	NUM
fcis-13865	178	16	classes	class	NOUN
fcis-13865	178	17	,	,	PUNCT
fcis-13865	178	18	including	include	VERB
fcis-13865	178	19	various	various	ADJ
fcis-13865	178	20	attack	attack	NOUN
fcis-13865	178	21	types	type	NOUN
fcis-13865	178	22	as	as	ADV
fcis-13865	178	23	well	well	ADV
fcis-13865	178	24	as	as	ADP
fcis-13865	178	25	benign	benign	ADJ
fcis-13865	178	26	traffic	traffic	NOUN
fcis-13865	178	27	,	,	PUNCT
fcis-13865	178	28	are	be	AUX
fcis-13865	178	29	balanced	balanced	ADJ
fcis-13865	178	30	.	.	PUNCT
fcis-13865	179	1	a	a	DET
fcis-13865	179	2	balanced	balanced	ADJ
fcis-13865	179	3	dataset	dataset	NOUN
fcis-13865	179	4	effectively	effectively	ADV
fcis-13865	179	5	mitigates	mitigate	VERB
fcis-13865	179	6	the	the	DET
fcis-13865	179	7	occurrence	occurrence	NOUN
fcis-13865	179	8	of	of	ADP
fcis-13865	179	9	the	the	DET
fcis-13865	179	10	long	long	ADJ
fcis-13865	179	11	-	-	PUNCT
fcis-13865	179	12	tail	tail	NOUN
fcis-13865	179	13	effect	effect	NOUN
fcis-13865	179	14	during	during	ADP
fcis-13865	179	15	the	the	DET
fcis-13865	179	16	training	training	NOUN
fcis-13865	179	17	process	process	NOUN
fcis-13865	179	18	,	,	PUNCT
fcis-13865	179	19	thereby	thereby	ADV
fcis-13865	179	20	enhancing	enhance	VERB
fcis-13865	179	21	the	the	DET
fcis-13865	179	22	classification	classification	NOUN
fcis-13865	179	23	accuracy	accuracy	NOUN
fcis-13865	179	24	of	of	ADP
fcis-13865	179	25	the	the	DET
fcis-13865	179	26	scd	scd	NOUN
fcis-13865	179	27	model	model	NOUN
fcis-13865	179	28	for	for	ADP
fcis-13865	179	29	classes	class	NOUN
fcis-13865	179	30	with	with	ADP
fcis-13865	179	31	fewer	few	ADJ
fcis-13865	179	32	data	datum	NOUN
fcis-13865	179	33	instances	instance	NOUN
fcis-13865	179	34	.	.	PUNCT
fcis-13865	180	1	this	this	PRON
fcis-13865	180	2	ensures	ensure	VERB
fcis-13865	180	3	that	that	SCONJ
fcis-13865	180	4	the	the	DET
fcis-13865	180	5	scd	scd	PROPN
fcis-13865	180	6	model	model	NOUN
fcis-13865	180	7	maintains	maintain	VERB
fcis-13865	180	8	high	high	ADJ
fcis-13865	180	9	precision	precision	NOUN
fcis-13865	180	10	in	in	ADP
fcis-13865	180	11	realworld	realworld	PROPN
fcis-13865	180	12	scenarios	scenario	NOUN
fcis-13865	180	13	where	where	SCONJ
fcis-13865	180	14	the	the	DET
fcis-13865	180	15	majority	majority	NOUN
fcis-13865	180	16	of	of	ADP
fcis-13865	180	17	the	the	DET
fcis-13865	180	18	traffic	traffic	NOUN
fcis-13865	180	19	is	be	AUX
fcis-13865	180	20	benign	benign	ADJ
fcis-13865	180	21	.	.	PUNCT
fcis-13865	181	1	4.3	4.3	NUM
fcis-13865	181	2	.	.	PUNCT
fcis-13865	181	3	settings	setting	NOUN
fcis-13865	181	4	three	three	NUM
fcis-13865	181	5	sets	set	NOUN
fcis-13865	181	6	of	of	ADP
fcis-13865	181	7	experiments	experiment	NOUN
fcis-13865	181	8	were	be	AUX
fcis-13865	181	9	conducted	conduct	VERB
fcis-13865	181	10	in	in	ADP
fcis-13865	181	11	this	this	DET
fcis-13865	181	12	paper	paper	NOUN
fcis-13865	181	13	.	.	PUNCT
fcis-13865	182	1	in	in	ADP
fcis-13865	182	2	the	the	DET
fcis-13865	182	3	first	first	ADJ
fcis-13865	182	4	set	set	NOUN
fcis-13865	182	5	,	,	PUNCT
fcis-13865	182	6	ddos	ddo	NOUN
fcis-13865	182	7	attacks	attack	NOUN
fcis-13865	182	8	were	be	AUX
fcis-13865	182	9	classified	classify	VERB
fcis-13865	182	10	into	into	ADP
fcis-13865	182	11	multiple	multiple	ADJ
fcis-13865	182	12	categories	category	NOUN
fcis-13865	182	13	,	,	PUNCT
fcis-13865	182	14	and	and	CCONJ
fcis-13865	182	15	the	the	DET
fcis-13865	182	16	results	result	NOUN
fcis-13865	182	17	were	be	AUX
fcis-13865	182	18	compared	compare	VERB
fcis-13865	182	19	with	with	ADP
fcis-13865	182	20	three	three	NUM
fcis-13865	182	21	other	other	ADJ
fcis-13865	182	22	graph	graph	NOUN
fcis-13865	182	23	-	-	PUNCT
fcis-13865	182	24	based	base	VERB
fcis-13865	182	25	detection	detection	NOUN
fcis-13865	182	26	methods	method	NOUN
fcis-13865	182	27	known	know	VERB
fcis-13865	182	28	for	for	ADP
fcis-13865	182	29	their	their	PRON
fcis-13865	182	30	excellent	excellent	ADJ
fcis-13865	182	31	performance	performance	NOUN
fcis-13865	182	32	and	and	CCONJ
fcis-13865	182	33	compared	compare	VERB
fcis-13865	182	34	against	against	ADP
fcis-13865	182	35	other	other	ADJ
fcis-13865	182	36	deep	deep	ADJ
fcis-13865	182	37	learning	learning	NOUN
fcis-13865	182	38	models	model	NOUN
fcis-13865	182	39	studied	study	VERB
fcis-13865	182	40	on	on	ADP
fcis-13865	182	41	the	the	DET
fcis-13865	182	42	same	same	ADJ
fcis-13865	182	43	dataset	dataset	NOUN
fcis-13865	182	44	.	.	PUNCT
fcis-13865	183	1	in	in	ADP
fcis-13865	183	2	the	the	DET
fcis-13865	183	3	second	second	ADJ
fcis-13865	183	4	set	set	NOUN
fcis-13865	183	5	of	of	ADP
fcis-13865	183	6	experiments	experiment	NOUN
fcis-13865	183	7	,	,	PUNCT
fcis-13865	183	8	the	the	DET
fcis-13865	183	9	effectiveness	effectiveness	NOUN
fcis-13865	183	10	of	of	ADP
fcis-13865	183	11	the	the	DET
fcis-13865	183	12	scd	scd	NOUN
fcis-13865	183	13	model	model	NOUN
fcis-13865	183	14	on	on	ADP
fcis-13865	183	15	the	the	DET
fcis-13865	183	16	iscxids	iscxid	NOUN
fcis-13865	183	17	dataset	dataset	NOUN
fcis-13865	183	18	was	be	AUX
fcis-13865	183	19	validated	validate	VERB
fcis-13865	183	20	to	to	PART
fcis-13865	183	21	ensure	ensure	VERB
fcis-13865	183	22	the	the	DET
fcis-13865	183	23	model	model	NOUN
fcis-13865	183	24	’s	’s	PART
fcis-13865	183	25	robustness	robustness	NOUN
fcis-13865	183	26	.	.	PUNCT
fcis-13865	184	1	in	in	ADP
fcis-13865	184	2	the	the	DET
fcis-13865	184	3	third	third	ADJ
fcis-13865	184	4	set	set	NOUN
fcis-13865	184	5	of	of	ADP
fcis-13865	184	6	experiments	experiment	NOUN
fcis-13865	184	7	,	,	PUNCT
fcis-13865	184	8	binary	binary	ADJ
fcis-13865	184	9	classification	classification	NOUN
fcis-13865	184	10	was	be	AUX
fcis-13865	184	11	performed	perform	VERB
fcis-13865	184	12	on	on	ADP
fcis-13865	184	13	network	network	NOUN
fcis-13865	184	14	traffic	traffic	NOUN
fcis-13865	184	15	data	datum	NOUN
fcis-13865	184	16	labeled	label	VERB
fcis-13865	184	17	as	as	ADP
fcis-13865	184	18	either	either	CCONJ
fcis-13865	184	19	ddos	ddo	NOUN
fcis-13865	184	20	attack	attack	NOUN
fcis-13865	184	21	or	or	CCONJ
fcis-13865	184	22	benign	benign	ADJ
fcis-13865	184	23	traffic	traffic	NOUN
fcis-13865	184	24	to	to	PART
fcis-13865	184	25	detect	detect	VERB
fcis-13865	184	26	whether	whether	SCONJ
fcis-13865	184	27	ddos	ddo	NOUN
fcis-13865	184	28	attacks	attack	NOUN
fcis-13865	184	29	are	be	AUX
fcis-13865	184	30	occurring	occur	VERB
fcis-13865	184	31	,	,	PUNCT
fcis-13865	184	32	and	and	CCONJ
fcis-13865	184	33	the	the	DET
fcis-13865	184	34	results	result	NOUN
fcis-13865	184	35	were	be	AUX
fcis-13865	184	36	compared	compare	VERB
fcis-13865	184	37	with	with	ADP
fcis-13865	184	38	classical	classical	ADJ
fcis-13865	184	39	detection	detection	NOUN
fcis-13865	184	40	methods	method	NOUN
fcis-13865	184	41	.	.	PUNCT
fcis-13865	185	1	the	the	DET
fcis-13865	185	2	fine	fine	ADV
fcis-13865	185	3	-	-	PUNCT
fcis-13865	185	4	tuning	tune	VERB
fcis-13865	185	5	perparameters	perparameter	NOUN
fcis-13865	185	6	of	of	ADP
fcis-13865	185	7	the	the	DET
fcis-13865	185	8	neural	neural	ADJ
fcis-13865	185	9	networks	network	NOUN
fcis-13865	185	10	established	establish	VERB
fcis-13865	185	11	in	in	ADP
fcis-13865	185	12	this	this	DET
fcis-13865	185	13	paper	paper	NOUN
fcis-13865	185	14	are	be	AUX
fcis-13865	185	15	listed	list	VERB
fcis-13865	185	16	in	in	ADP
fcis-13865	185	17	table	table	NOUN
fcis-13865	185	18	1	1	NUM
fcis-13865	185	19	.	.	PUNCT
fcis-13865	185	20	table	table	NOUN
fcis-13865	185	21	1	1	NUM
fcis-13865	185	22	.	.	PUNCT
fcis-13865	186	1	parameters	parameter	NOUN
fcis-13865	186	2	for	for	ADP
fcis-13865	186	3	our	our	PRON
fcis-13865	186	4	neural	neural	ADJ
fcis-13865	186	5	networks	network	NOUN
fcis-13865	186	6	.	.	PUNCT
fcis-13865	187	1	parameter	parameter	NOUN
fcis-13865	187	2	description	description	NOUN
fcis-13865	187	3	cnn	cnn	PROPN
fcis-13865	187	4	parameter	parameter	VERB
fcis-13865	187	5	3	3	NUM
fcis-13865	187	6	one	one	NUM
fcis-13865	187	7	-	-	PUNCT
fcis-13865	187	8	dimensional	dimensional	ADJ
fcis-13865	187	9	layers+relu+bn	layers+relu+bn	NOUN
fcis-13865	187	10	.	.	PUNCT
fcis-13865	188	1	sae	sae	PROPN
fcis-13865	188	2	parameter	parameter	PROPN
fcis-13865	188	3	5	5	NUM
fcis-13865	188	4	layers	layer	NOUN
fcis-13865	188	5	.	.	PUNCT
fcis-13865	189	1	training	train	VERB
fcis-13865	189	2	epoch	epoch	PROPN
fcis-13865	189	3	100	100	NUM
fcis-13865	189	4	.	.	PUNCT
fcis-13865	190	1	optimizer	optimizer	NOUN
fcis-13865	190	2	adam	adam	PROPN
fcis-13865	190	3	.	.	PUNCT
fcis-13865	191	1	learning	learn	VERB
fcis-13865	191	2	rate	rate	NOUN
fcis-13865	191	3	1	1	NUM
fcis-13865	191	4	*	*	SYM
fcis-13865	191	5	310−	310−	NUM
fcis-13865	191	6	.	.	PUNCT
fcis-13865	192	1	loss	loss	NOUN
fcis-13865	192	2	function	function	PROPN
fcis-13865	192	3	cross	cross	PROPN
fcis-13865	192	4	entropy	entropy	PROPN
fcis-13865	192	5	loss	loss	PROPN
fcis-13865	192	6	.	.	PUNCT
fcis-13865	193	1	total	total	ADJ
fcis-13865	193	2	parameter	parameter	NOUN
fcis-13865	193	3	quantity	quantity	NOUN
fcis-13865	193	4	1	1	NUM
fcis-13865	193	5	*	*	SYM
fcis-13865	193	6	610−	610−	NUM
fcis-13865	193	7	.	.	PUNCT
fcis-13865	194	1	4.4	4.4	NUM
fcis-13865	194	2	.	.	PUNCT
fcis-13865	194	3	results	result	NOUN
fcis-13865	194	4	in	in	ADP
fcis-13865	194	5	experiment	experiment	NOUN
fcis-13865	194	6	scenario	scenario	NOUN
fcis-13865	194	7	one	one	NUM
fcis-13865	194	8	,	,	PUNCT
fcis-13865	194	9	the	the	DET
fcis-13865	194	10	detection	detection	NOUN
fcis-13865	194	11	performance	performance	NOUN
fcis-13865	194	12	for	for	ADP
fcis-13865	194	13	each	each	DET
fcis-13865	194	14	attack	attack	NOUN
fcis-13865	194	15	label	label	NOUN
fcis-13865	194	16	was	be	AUX
fcis-13865	194	17	statistically	statistically	ADV
fcis-13865	194	18	analyzed	analyze	VERB
fcis-13865	194	19	and	and	CCONJ
fcis-13865	194	20	compared	compare	VERB
fcis-13865	194	21	with	with	ADP
fcis-13865	194	22	other	other	ADJ
fcis-13865	194	23	methods	method	NOUN
fcis-13865	194	24	.	.	PUNCT
fcis-13865	195	1	these	these	DET
fcis-13865	195	2	methods	method	NOUN
fcis-13865	195	3	comprise	comprise	VERB
fcis-13865	195	4	three	three	NUM
fcis-13865	195	5	popular	popular	ADJ
fcis-13865	195	6	image	image	NOUN
fcis-13865	195	7	testing	testing	NOUN
fcis-13865	195	8	methods	method	NOUN
fcis-13865	195	9	on	on	ADP
fcis-13865	195	10	the	the	DET
fcis-13865	195	11	same	same	ADJ
fcis-13865	195	12	dataset	dataset	NOUN
fcis-13865	195	13	in	in	ADP
fcis-13865	195	14	this	this	DET
fcis-13865	195	15	paper	paper	NOUN
fcis-13865	195	16	,	,	PUNCT
fcis-13865	195	17	alexnet	alexnet	PROPN
fcis-13865	196	1	[	[	X
fcis-13865	196	2	18	18	NUM
fcis-13865	196	3	]	]	PUNCT
fcis-13865	196	4	and	and	CCONJ
fcis-13865	196	5	resnet-34	resnet-34	PROPN
fcis-13865	197	1	[	[	X
fcis-13865	197	2	19	19	NUM
fcis-13865	197	3	]	]	PUNCT
fcis-13865	197	4	.	.	PUNCT
fcis-13865	198	1	furthermore	furthermore	ADV
fcis-13865	198	2	,	,	PUNCT
fcis-13865	198	3	we	we	PRON
fcis-13865	198	4	compare	compare	VERB
fcis-13865	198	5	our	our	PRON
fcis-13865	198	6	method	method	NOUN
fcis-13865	198	7	with	with	ADP
fcis-13865	198	8	the	the	DET
fcis-13865	198	9	ddos	ddos	NOUN
fcis-13865	198	10	multi	multi	ADJ
fcis-13865	198	11	-	-	ADJ
fcis-13865	198	12	classification	classification	ADJ
fcis-13865	198	13	network	network	NOUN
fcis-13865	198	14	based	base	VERB
fcis-13865	198	15	on	on	ADP
fcis-13865	198	16	dnn	dnn	PROPN
fcis-13865	198	17	proposed	propose	VERB
fcis-13865	198	18	by	by	ADP
fcis-13865	198	19	chartuni	chartuni	PROPN
fcis-13865	198	20	a	a	PROPN
fcis-13865	198	21	et	et	PROPN
fcis-13865	198	22	al	al	PROPN
fcis-13865	198	23	.	.	PUNCT
fcis-13865	199	1	[	[	X
fcis-13865	199	2	2	2	X
fcis-13865	199	3	]	]	PUNCT
fcis-13865	199	4	and	and	CCONJ
fcis-13865	199	5	the	the	DET
fcis-13865	199	6	ddos	ddos	NOUN
fcis-13865	199	7	multi	multi	ADJ
fcis-13865	199	8	-	-	ADJ
fcis-13865	199	9	classification	classification	ADJ
fcis-13865	199	10	network	network	NOUN
fcis-13865	199	11	based	base	VERB
fcis-13865	199	12	on	on	ADP
fcis-13865	199	13	cnn	cnn	PROPN
fcis-13865	199	14	proposed	propose	VERB
fcis-13865	199	15	by	by	ADP
fcis-13865	199	16	de	de	PROPN
fcis-13865	199	17	assis	assis	X
fcis-13865	199	18	et	et	PROPN
fcis-13865	199	19	al	al	PROPN
fcis-13865	199	20	.	.	PUNCT
fcis-13865	200	1	[	[	X
fcis-13865	200	2	20	20	NUM
fcis-13865	200	3	]	]	PUNCT
fcis-13865	200	4	,	,	PUNCT
fcis-13865	200	5	the	the	DET
fcis-13865	200	6	experimental	experimental	ADJ
fcis-13865	200	7	results	result	NOUN
fcis-13865	200	8	of	of	ADP
fcis-13865	200	9	the	the	DET
fcis-13865	200	10	experiment	experiment	NOUN
fcis-13865	200	11	scenario	scenario	NOUN
fcis-13865	200	12	one	one	NUM
fcis-13865	200	13	is	be	AUX
fcis-13865	200	14	presented	present	VERB
fcis-13865	200	15	in	in	ADP
fcis-13865	200	16	table	table	NOUN
fcis-13865	200	17	2	2	NUM
fcis-13865	200	18	.	.	PUNCT
fcis-13865	200	19	table	table	NOUN
fcis-13865	200	20	2	2	NUM
fcis-13865	200	21	.	.	PUNCT
fcis-13865	200	22	performance	performance	NOUN
fcis-13865	200	23	evaluation	evaluation	NOUN
fcis-13865	200	24	of	of	ADP
fcis-13865	200	25	scd	scd	NOUN
fcis-13865	200	26	compared	compare	VERB
fcis-13865	200	27	to	to	ADP
fcis-13865	200	28	other	other	ADJ
fcis-13865	200	29	classic	classic	ADJ
fcis-13865	200	30	systems	system	NOUN
fcis-13865	200	31	in	in	ADP
fcis-13865	200	32	multi	multi	ADJ
fcis-13865	200	33	-	-	ADJ
fcis-13865	200	34	classification	classification	ADJ
fcis-13865	200	35	task	task	NOUN
fcis-13865	200	36	.	.	PUNCT
fcis-13865	201	1	system	system	NOUN
fcis-13865	201	2	acc	acc	PROPN
fcis-13865	201	3	recall	recall	PROPN
fcis-13865	201	4	f1(%	f1(%	NOUN
fcis-13865	201	5	)	)	PUNCT
fcis-13865	201	6	alexnet	alexnet	NOUN
fcis-13865	201	7	83.26	83.26	NUM
fcis-13865	201	8	81.79	81.79	NUM
fcis-13865	201	9	82.24	82.24	NUM
fcis-13865	201	10	resnet-34	resnet-34	PROPN
fcis-13865	201	11	93.52	93.52	NUM
fcis-13865	201	12	92.78	92.78	NUM
fcis-13865	201	13	93.23	93.23	NUM
fcis-13865	201	14	chartuni	chartuni	PROPN
fcis-13865	201	15	a	a	PROPN
fcis-13865	201	16	et	et	PROPN
fcis-13865	201	17	al	al	PROPN
fcis-13865	201	18	.	.	PROPN
fcis-13865	202	1	94.21	94.21	NUM
fcis-13865	202	2	94.03	94.03	NUM
fcis-13865	202	3	94.12	94.12	NUM
fcis-13865	202	4	de	de	X
fcis-13865	202	5	assis	assis	X
fcis-13865	202	6	et	et	PROPN
fcis-13865	202	7	al	al	PROPN
fcis-13865	202	8	.	.	PROPN
fcis-13865	203	1	95.40	95.40	NUM
fcis-13865	203	2	95.70	95.70	NUM
fcis-13865	203	3	92.80	92.80	NUM
fcis-13865	203	4	scd	scd	NOUN
fcis-13865	203	5	97.22	97.22	NUM
fcis-13865	203	6	96.79	96.79	NUM
fcis-13865	203	7	96.84	96.84	NUM
fcis-13865	203	8	in	in	ADP
fcis-13865	203	9	comparison	comparison	NOUN
fcis-13865	203	10	,	,	PUNCT
fcis-13865	203	11	the	the	DET
fcis-13865	203	12	scd	scd	NOUN
fcis-13865	203	13	system	system	NOUN
fcis-13865	203	14	exhibits	exhibit	VERB
fcis-13865	203	15	superior	superior	ADJ
fcis-13865	203	16	performance	performance	NOUN
fcis-13865	203	17	in	in	ADP
fcis-13865	203	18	detecting	detect	VERB
fcis-13865	203	19	ddos	ddos	NOUN
fcis-13865	203	20	attacks	attack	NOUN
fcis-13865	203	21	and	and	CCONJ
fcis-13865	203	22	in	in	ADP
fcis-13865	203	23	multiclass	multiclass	ADJ
fcis-13865	203	24	classification	classification	NOUN
fcis-13865	203	25	when	when	SCONJ
fcis-13865	203	26	compared	compare	VERB
fcis-13865	203	27	to	to	ADP
fcis-13865	203	28	other	other	ADJ
fcis-13865	203	29	deep	deep	ADJ
fcis-13865	203	30	learning	learning	NOUN
fcis-13865	203	31	strategies	strategy	NOUN
fcis-13865	203	32	,	,	PUNCT
fcis-13865	203	33	with	with	ADP
fcis-13865	203	34	an	an	DET
fcis-13865	203	35	exceptional	exceptional	ADJ
fcis-13865	203	36	accuracy	accuracy	NOUN
fcis-13865	203	37	rate	rate	NOUN
fcis-13865	203	38	of	of	ADP
fcis-13865	203	39	97.22	97.22	NUM
fcis-13865	203	40	%	%	NOUN
fcis-13865	203	41	.	.	PUNCT
fcis-13865	204	1	the	the	DET
fcis-13865	204	2	results	result	NOUN
fcis-13865	204	3	of	of	ADP
fcis-13865	204	4	the	the	DET
fcis-13865	204	5	multi	multi	ADJ
fcis-13865	204	6	-	-	ADJ
fcis-13865	204	7	classification	classification	ADJ
fcis-13865	204	8	experiment	experiment	NOUN
fcis-13865	204	9	on	on	ADP
fcis-13865	204	10	ddos	ddos	NOUN
fcis-13865	204	11	attacks	attack	NOUN
fcis-13865	204	12	are	be	AUX
fcis-13865	204	13	shown	show	VERB
fcis-13865	204	14	in	in	ADP
fcis-13865	204	15	figure	figure	NOUN
fcis-13865	204	16	5	5	NUM
fcis-13865	204	17	.	.	PUNCT
fcis-13865	205	1	the	the	DET
fcis-13865	205	2	figure	figure	NOUN
fcis-13865	205	3	clearly	clearly	ADV
fcis-13865	205	4	indicates	indicate	VERB
fcis-13865	205	5	the	the	DET
fcis-13865	205	6	scd	scd	PROPN
fcis-13865	205	7	model	model	NOUN
fcis-13865	205	8	’s	’s	PART
fcis-13865	205	9	outstanding	outstanding	ADJ
fcis-13865	205	10	detection	detection	NOUN
fcis-13865	205	11	ability	ability	NOUN
fcis-13865	205	12	in	in	ADP
fcis-13865	205	13	experimental	experimental	ADJ
fcis-13865	205	14	scenario	scenario	NOUN
fcis-13865	205	15	one	one	NUM
fcis-13865	205	16	.	.	PUNCT
fcis-13865	206	1	figure	figure	NOUN
fcis-13865	206	2	5	5	NUM
fcis-13865	206	3	.	.	PUNCT
fcis-13865	207	1	the	the	DET
fcis-13865	207	2	performance	performance	NOUN
fcis-13865	207	3	of	of	ADP
fcis-13865	207	4	scd	scd	NOUN
fcis-13865	207	5	in	in	ADP
fcis-13865	207	6	classifying	classify	VERB
fcis-13865	207	7	each	each	DET
fcis-13865	207	8	attack	attack	NOUN
fcis-13865	207	9	types	type	NOUN
fcis-13865	207	10	of	of	ADP
fcis-13865	207	11	ddos	ddo	NOUN
fcis-13865	207	12	in	in	ADP
fcis-13865	207	13	multi	multi	ADJ
fcis-13865	207	14	-	-	ADJ
fcis-13865	207	15	classification	classification	ADJ
fcis-13865	207	16	task	task	NOUN
fcis-13865	207	17	.	.	PUNCT
fcis-13865	208	1	the	the	DET
fcis-13865	208	2	model	model	NOUN
fcis-13865	208	3	’s	’s	PART
fcis-13865	208	4	detection	detection	NOUN
fcis-13865	208	5	ability	ability	NOUN
fcis-13865	208	6	for	for	ADP
fcis-13865	208	7	mssql	mssql	NOUN
fcis-13865	208	8	is	be	AUX
fcis-13865	208	9	relatively	relatively	ADV
fcis-13865	208	10	weak	weak	ADJ
fcis-13865	208	11	,	,	PUNCT
fcis-13865	208	12	possibly	possibly	ADV
fcis-13865	208	13	due	due	ADP
fcis-13865	208	14	to	to	ADP
fcis-13865	208	15	the	the	DET
fcis-13865	208	16	limited	limited	ADJ
fcis-13865	208	17	feature	feature	NOUN
fcis-13865	208	18	attributes	attribute	NOUN
fcis-13865	208	19	used	use	VERB
fcis-13865	208	20	for	for	ADP
fcis-13865	208	21	distinguishing	distinguish	VERB
fcis-13865	208	22	the	the	DET
fcis-13865	208	23	mssql	mssql	PROPN
fcis-13865	208	24	attack	attack	NOUN
fcis-13865	208	25	category	category	NOUN
fcis-13865	208	26	.	.	PUNCT
fcis-13865	209	1	according	accord	VERB
fcis-13865	209	2	to	to	ADP
fcis-13865	209	3	[	[	X
fcis-13865	209	4	24	24	NUM
fcis-13865	209	5	]	]	PUNCT
fcis-13865	209	6	,	,	PUNCT
fcis-13865	209	7	the	the	DET
fcis-13865	209	8	strong	strong	ADJ
fcis-13865	209	9	correlation	correlation	NOUN
fcis-13865	209	10	attributes	attribute	VERB
fcis-13865	209	11	affecting	affect	VERB
fcis-13865	209	12	mssql	mssql	NOUN
fcis-13865	209	13	detection	detection	NOUN
fcis-13865	209	14	are	be	AUX
fcis-13865	209	15	port	port	NOUN
fcis-13865	209	16	numbers	number	NOUN
fcis-13865	209	17	,	,	PUNCT
fcis-13865	209	18	but	but	CCONJ
fcis-13865	209	19	the	the	DET
fcis-13865	209	20	port	port	NOUN
fcis-13865	209	21	number	number	NOUN
fcis-13865	209	22	attribute	attribute	NOUN
fcis-13865	209	23	can	can	AUX
fcis-13865	209	24	not	not	PART
fcis-13865	209	25	be	be	AUX
fcis-13865	209	26	used	use	VERB
fcis-13865	209	27	in	in	ADP
fcis-13865	209	28	model	model	NOUN
fcis-13865	209	29	classification	classification	NOUN
fcis-13865	209	30	tasks	task	NOUN
fcis-13865	209	31	and	and	CCONJ
fcis-13865	209	32	is	be	AUX
fcis-13865	209	33	therefore	therefore	ADV
fcis-13865	209	34	discarded	discard	VERB
fcis-13865	209	35	,	,	PUNCT
fcis-13865	209	36	which	which	PRON
fcis-13865	209	37	affects	affect	VERB
fcis-13865	209	38	the	the	DET
fcis-13865	209	39	detection	detection	NOUN
fcis-13865	209	40	performance	performance	NOUN
fcis-13865	209	41	.	.	PUNCT
fcis-13865	210	1	the	the	DET
fcis-13865	210	2	model	model	NOUN
fcis-13865	210	3	performed	perform	VERB
fcis-13865	210	4	well	well	ADV
fcis-13865	210	5	on	on	ADP
fcis-13865	210	6	other	other	ADJ
fcis-13865	210	7	categories	category	NOUN
fcis-13865	210	8	due	due	ADP
fcis-13865	210	9	to	to	ADP
fcis-13865	210	10	its	its	PRON
fcis-13865	210	11	relatively	relatively	ADV
fcis-13865	210	12	small	small	ADJ
fcis-13865	210	13	number	number	NOUN
fcis-13865	210	14	of	of	ADP
fcis-13865	210	15	parameters	parameter	NOUN
fcis-13865	210	16	and	and	CCONJ
fcis-13865	210	17	computational	computational	ADJ
fcis-13865	210	18	complexity	complexity	NOUN
fcis-13865	210	19	,	,	PUNCT
fcis-13865	210	20	making	make	VERB
fcis-13865	210	21	it	it	PRON
fcis-13865	210	22	suitable	suitable	ADJ
fcis-13865	210	23	for	for	ADP
fcis-13865	210	24	deploying	deploy	VERB
fcis-13865	210	25	in	in	ADP
fcis-13865	210	26	deep	deep	ADJ
fcis-13865	210	27	learning	learning	NOUN
fcis-13865	210	28	environments	environment	NOUN
fcis-13865	210	29	to	to	PART
fcis-13865	210	30	detect	detect	VERB
fcis-13865	210	31	ddos	ddos	NOUN
fcis-13865	210	32	attacks	attack	NOUN
fcis-13865	210	33	.	.	PUNCT
fcis-13865	211	1	in	in	ADP
fcis-13865	211	2	experiment	experiment	NOUN
fcis-13865	211	3	scenario	scenario	NOUN
fcis-13865	211	4	two	two	NUM
fcis-13865	211	5	,	,	PUNCT
fcis-13865	211	6	we	we	PRON
fcis-13865	211	7	conducted	conduct	VERB
fcis-13865	211	8	a	a	DET
fcis-13865	211	9	comprehensive	comprehensive	ADJ
fcis-13865	211	10	evaluation	evaluation	NOUN
fcis-13865	211	11	of	of	ADP
fcis-13865	211	12	the	the	DET
fcis-13865	211	13	scd	scd	PROPN
fcis-13865	211	14	model	model	PROPN
fcis-13865	211	15	’s	’s	PART
fcis-13865	211	16	effectiveness	effectiveness	NOUN
fcis-13865	211	17	using	use	VERB
fcis-13865	211	18	the	the	DET
fcis-13865	211	19	iscxids	iscxid	NOUN
fcis-13865	211	20	dataset	dataset	NOUN
fcis-13865	211	21	,	,	PUNCT
fcis-13865	211	22	a	a	DET
fcis-13865	211	23	widely	widely	ADV
fcis-13865	211	24	recognized	recognize	VERB
fcis-13865	211	25	dataset	dataset	NOUN
fcis-13865	211	26	in	in	ADP
fcis-13865	211	27	the	the	DET
fcis-13865	211	28	field	field	NOUN
fcis-13865	211	29	of	of	ADP
fcis-13865	211	30	ddos	ddos	NOUN
fcis-13865	211	31	attacks	attack	NOUN
fcis-13865	211	32	.	.	PUNCT
fcis-13865	212	1	the	the	DET
fcis-13865	212	2	iscxids	iscxid	NOUN
fcis-13865	212	3	dataset	dataset	NOUN
fcis-13865	212	4	encompasses	encompass	VERB
fcis-13865	212	5	29	29	NUM
fcis-13865	212	6	crucial	crucial	ADJ
fcis-13865	212	7	features	feature	NOUN
fcis-13865	212	8	,	,	PUNCT
fcis-13865	212	9	including	include	VERB
fcis-13865	212	10	frame	frame	NOUN
fcis-13865	212	11	.	.	PUNCT
fcis-13865	213	1	len	len	ADJ
fcis-13865	213	2	,	,	PUNCT
fcis-13865	213	3	frame	frame	NOUN
fcis-13865	213	4	.	.	PUNCT
fcis-13865	214	1	protocols	protocol	NOUN
fcis-13865	214	2	,	,	PUNCT
fcis-13865	214	3	ip.hdr.len	ip.hdr.len	ADJ
fcis-13865	214	4	,	,	PUNCT
fcis-13865	214	5	ip.len	ip.len	ADJ
fcis-13865	214	6	,	,	PUNCT
fcis-13865	214	7	and	and	CCONJ
fcis-13865	214	8	ip.flags.rb	ip.flags.rb	NOUN
fcis-13865	214	9	.	.	PUNCT
fcis-13865	215	1	to	to	PART
fcis-13865	215	2	ensure	ensure	VERB
fcis-13865	215	3	the	the	DET
fcis-13865	215	4	model	model	NOUN
fcis-13865	215	5	’s	’s	PART
fcis-13865	215	6	optimal	optimal	ADJ
fcis-13865	215	7	training	training	NOUN
fcis-13865	215	8	,	,	PUNCT
fcis-13865	215	9	we	we	PRON
fcis-13865	215	10	eliminated	eliminate	VERB
fcis-13865	215	11	irrelevant	irrelevant	ADJ
fcis-13865	215	12	features	feature	NOUN
fcis-13865	215	13	from	from	ADP
fcis-13865	215	14	the	the	DET
fcis-13865	215	15	dataset	dataset	NOUN
fcis-13865	215	16	and	and	CCONJ
fcis-13865	215	17	applied	apply	VERB
fcis-13865	215	18	consistent	consistent	ADJ
fcis-13865	215	19	preprocessing	preprocessing	NOUN
fcis-13865	215	20	techniques	technique	NOUN
fcis-13865	215	21	.	.	PUNCT
fcis-13865	216	1	the	the	DET
fcis-13865	216	2	resultant	resultant	NOUN
fcis-13865	216	3	data	data	NOUN
fcis-13865	216	4	underwent	underwent	NOUN
fcis-13865	216	5	processing	processing	NOUN
fcis-13865	216	6	and	and	CCONJ
fcis-13865	216	7	was	be	AUX
fcis-13865	216	8	then	then	ADV
fcis-13865	216	9	utilized	utilize	VERB
fcis-13865	216	10	as	as	ADP
fcis-13865	216	11	input	input	NOUN
fcis-13865	216	12	for	for	ADP
fcis-13865	216	13	the	the	DET
fcis-13865	216	14	scd	scd	PROPN
fcis-13865	216	15	model	model	NOUN
fcis-13865	216	16	.	.	PUNCT
fcis-13865	217	1	regarding	regard	VERB
fcis-13865	217	2	the	the	DET
fcis-13865	217	3	partitioning	partitioning	NOUN
fcis-13865	217	4	of	of	ADP
fcis-13865	217	5	training	training	NOUN
fcis-13865	217	6	and	and	CCONJ
fcis-13865	217	7	testing	testing	NOUN
fcis-13865	217	8	sets	set	NOUN
fcis-13865	217	9	,	,	PUNCT
fcis-13865	217	10	we	we	PRON
fcis-13865	217	11	allocated	allocate	VERB
fcis-13865	217	12	20	20	NUM
fcis-13865	217	13	%	%	NOUN
fcis-13865	217	14	of	of	ADP
fcis-13865	217	15	the	the	DET
fcis-13865	217	16	dataset	dataset	NOUN
fcis-13865	217	17	for	for	ADP
fcis-13865	217	18	testing	testing	NOUN
fcis-13865	217	19	purposes	purpose	NOUN
fcis-13865	217	20	and	and	CCONJ
fcis-13865	217	21	utilized	utilize	VERB
fcis-13865	217	22	the	the	DET
fcis-13865	217	23	remaining	remain	VERB
fcis-13865	217	24	80	80	NUM
fcis-13865	217	25	%	%	NOUN
fcis-13865	217	26	for	for	ADP
fcis-13865	217	27	training	training	NOUN
fcis-13865	217	28	.	.	PUNCT
fcis-13865	218	1	to	to	PART
fcis-13865	218	2	evaluate	evaluate	VERB
fcis-13865	218	3	the	the	DET
fcis-13865	218	4	scd	scd	PROPN
fcis-13865	218	5	model	model	PROPN
fcis-13865	218	6	’s	’s	PART
fcis-13865	218	7	efficacy	efficacy	NOUN
fcis-13865	218	8	,	,	PUNCT
fcis-13865	218	9	we	we	PRON
fcis-13865	218	10	performed	perform	VERB
fcis-13865	218	11	100	100	NUM
fcis-13865	218	12	epochs	epoch	NOUN
fcis-13865	218	13	and	and	CCONJ
fcis-13865	218	14	documented	document	VERB
fcis-13865	218	15	the	the	DET
fcis-13865	218	16	acc	acc	PROPN
fcis-13865	218	17	and	and	CCONJ
fcis-13865	218	18	loss	loss	NOUN
fcis-13865	218	19	for	for	ADP
fcis-13865	218	20	both	both	CCONJ
fcis-13865	218	21	the	the	DET
fcis-13865	218	22	training	training	NOUN
fcis-13865	218	23	and	and	CCONJ
fcis-13865	218	24	testing	testing	NOUN
fcis-13865	218	25	sets	set	NOUN
fcis-13865	218	26	,	,	PUNCT
fcis-13865	218	27	as	as	SCONJ
fcis-13865	218	28	illustrated	illustrate	VERB
fcis-13865	218	29	in	in	ADP
fcis-13865	218	30	figure	figure	NOUN
fcis-13865	218	31	6	6	NUM
fcis-13865	218	32	,	,	PUNCT
fcis-13865	218	33	we	we	PRON
fcis-13865	218	34	smoothed	smooth	VERB
fcis-13865	218	35	the	the	DET
fcis-13865	218	36	curve	curve	NOUN
fcis-13865	218	37	.	.	PUNCT
fcis-13865	219	1	the	the	DET
fcis-13865	219	2	figure	figure	NOUN
fcis-13865	219	3	clearly	clearly	ADV
fcis-13865	219	4	demonstrates	demonstrate	VERB
fcis-13865	219	5	that	that	SCONJ
fcis-13865	219	6	the	the	DET
fcis-13865	219	7	training	training	NOUN
fcis-13865	219	8	and	and	CCONJ
fcis-13865	219	9	testing	testing	NOUN
fcis-13865	219	10	sets	set	NOUN
fcis-13865	219	11	reached	reach	VERB
fcis-13865	219	12	a	a	DET
fcis-13865	219	13	stable	stable	ADJ
fcis-13865	219	14	state	state	NOUN
fcis-13865	219	15	after	after	ADP
fcis-13865	219	16	100	100	NUM
fcis-13865	219	17	epochs	epoch	NOUN
fcis-13865	219	18	,	,	PUNCT
fcis-13865	219	19	exhibiting	exhibit	VERB
fcis-13865	219	20	exceptional	exceptional	ADJ
fcis-13865	219	21	accuracy	accuracy	NOUN
fcis-13865	219	22	rates	rate	NOUN
fcis-13865	219	23	and	and	CCONJ
fcis-13865	219	24	minimal	minimal	ADJ
fcis-13865	219	25	loss	loss	NOUN
fcis-13865	219	26	.	.	PUNCT
fcis-13865	220	1	notably	notably	ADV
fcis-13865	220	2	,	,	PUNCT
fcis-13865	220	3	the	the	DET
fcis-13865	220	4	training	training	NOUN
fcis-13865	220	5	set	set	NOUN
fcis-13865	220	6	achieved	achieve	VERB
fcis-13865	220	7	an	an	DET
fcis-13865	220	8	accuracy	accuracy	NOUN
fcis-13865	220	9	of	of	ADP
fcis-13865	220	10	99.3	99.3	NUM
fcis-13865	220	11	%	%	NOUN
fcis-13865	220	12	with	with	ADP
fcis-13865	220	13	a	a	DET
fcis-13865	220	14	loss	loss	NOUN
fcis-13865	220	15	rate	rate	NOUN
fcis-13865	220	16	of	of	ADP
fcis-13865	220	17	0.35	0.35	NUM
fcis-13865	220	18	%	%	NOUN
fcis-13865	220	19	,	,	PUNCT
fcis-13865	220	20	while	while	SCONJ
fcis-13865	220	21	the	the	DET
fcis-13865	220	22	testing	testing	NOUN
fcis-13865	220	23	set	set	NOUN
fcis-13865	220	24	achieved	achieve	VERB
fcis-13865	220	25	an	an	DET
fcis-13865	220	26	accuracy	accuracy	NOUN
fcis-13865	220	27	of	of	ADP
fcis-13865	220	28	99	99	NUM
fcis-13865	220	29	%	%	NOUN
fcis-13865	220	30	with	with	ADP
fcis-13865	220	31	a	a	DET
fcis-13865	220	32	loss	loss	NOUN
fcis-13865	220	33	rate	rate	NOUN
fcis-13865	220	34	of	of	ADP
fcis-13865	220	35	0.53	0.53	NUM
fcis-13865	220	36	%	%	NOUN
fcis-13865	220	37	.	.	PUNCT
fcis-13865	221	1	figure	figure	NOUN
fcis-13865	221	2	6	6	NUM
fcis-13865	221	3	.	.	PUNCT
fcis-13865	222	1	the	the	DET
fcis-13865	222	2	acc	acc	PROPN
fcis-13865	222	3	and	and	CCONJ
fcis-13865	222	4	loss	loss	NOUN
fcis-13865	222	5	rates	rate	NOUN
fcis-13865	222	6	on	on	ADP
fcis-13865	222	7	the	the	DET
fcis-13865	222	8	training	training	NOUN
fcis-13865	222	9	and	and	CCONJ
fcis-13865	222	10	testing	testing	NOUN
fcis-13865	222	11	sets	set	NOUN
fcis-13865	222	12	.	.	PUNCT
fcis-13865	223	1	the	the	DET
fcis-13865	223	2	experimental	experimental	ADJ
fcis-13865	223	3	data	datum	NOUN
fcis-13865	223	4	confirmed	confirm	VERB
fcis-13865	223	5	the	the	DET
fcis-13865	223	6	effectiveness	effectiveness	NOUN
fcis-13865	223	7	of	of	ADP
fcis-13865	223	8	the	the	DET
fcis-13865	223	9	scd	scd	NOUN
fcis-13865	223	10	model	model	NOUN
fcis-13865	223	11	on	on	ADP
fcis-13865	223	12	other	other	ADJ
fcis-13865	223	13	datasets	dataset	NOUN
fcis-13865	223	14	,	,	PUNCT
fcis-13865	223	15	demonstrating	demonstrate	VERB
fcis-13865	223	16	its	its	PRON
fcis-13865	223	17	robustness	robustness	NOUN
fcis-13865	223	18	.	.	PUNCT
fcis-13865	224	1	in	in	ADP
fcis-13865	224	2	experiment	experiment	NOUN
fcis-13865	224	3	scenario	scenario	NOUN
fcis-13865	224	4	three	three	NUM
fcis-13865	224	5	,	,	PUNCT
fcis-13865	224	6	a	a	DET
fcis-13865	224	7	model	model	NOUN
fcis-13865	224	8	was	be	AUX
fcis-13865	224	9	trained	train	VERB
fcis-13865	224	10	to	to	PART
fcis-13865	224	11	effectively	effectively	ADV
fcis-13865	224	12	detect	detect	VERB
fcis-13865	224	13	ddos	ddos	NOUN
fcis-13865	224	14	attacks	attack	NOUN
fcis-13865	224	15	,	,	PUNCT
fcis-13865	224	16	and	and	CCONJ
fcis-13865	224	17	the	the	DET
fcis-13865	224	18	network	network	NOUN
fcis-13865	224	19	traffic	traffic	NOUN
fcis-13865	224	20	data	datum	NOUN
fcis-13865	224	21	with	with	ADP
fcis-13865	224	22	ddos	ddos	NOUN
fcis-13865	224	23	attack	attack	NOUN
fcis-13865	224	24	labels	label	NOUN
fcis-13865	224	25	and	and	CCONJ
fcis-13865	224	26	benign	benign	ADJ
fcis-13865	224	27	labels	label	NOUN
fcis-13865	224	28	can	can	AUX
fcis-13865	224	29	be	be	AUX
fcis-13865	224	30	classified	classify	VERB
fcis-13865	224	31	into	into	ADP
fcis-13865	224	32	two	two	NUM
fcis-13865	224	33	categories	category	NOUN
fcis-13865	224	34	to	to	PART
fcis-13865	224	35	detect	detect	VERB
fcis-13865	224	36	possible	possible	ADJ
fcis-13865	224	37	ddos	ddos	NOUN
fcis-13865	224	38	attacks	attack	NOUN
fcis-13865	224	39	.	.	PUNCT
fcis-13865	225	1	we	we	PRON
fcis-13865	225	2	compared	compare	VERB
fcis-13865	225	3	our	our	PRON
fcis-13865	225	4	model	model	NOUN
fcis-13865	225	5	with	with	ADP
fcis-13865	225	6	various	various	ADJ
fcis-13865	225	7	classical	classical	ADJ
fcis-13865	225	8	techniques	technique	NOUN
fcis-13865	225	9	,	,	PUNCT
fcis-13865	225	10	evaluating	evaluate	VERB
fcis-13865	225	11	six	six	NUM
fcis-13865	225	12	different	different	ADJ
fcis-13865	225	13	algorithms	algorithm	NOUN
fcis-13865	225	14	,	,	PUNCT
fcis-13865	225	15	including	include	VERB
fcis-13865	225	16	naive	naive	ADJ
fcis-13865	225	17	bayes	bayes	NOUN
fcis-13865	225	18	,	,	PUNCT
fcis-13865	225	19	support	support	VERB
fcis-13865	225	20	vector	vector	NOUN
fcis-13865	225	21	machine	machine	NOUN
fcis-13865	225	22	,	,	PUNCT
fcis-13865	225	23	decision	decision	NOUN
fcis-13865	225	24	tree	tree	NOUN
fcis-13865	225	25	,	,	PUNCT
fcis-13865	225	26	random	random	ADJ
fcis-13865	225	27	forest	forest	NOUN
fcis-13865	225	28	,	,	PUNCT
fcis-13865	225	29	and	and	CCONJ
fcis-13865	225	30	99	99	NUM
fcis-13865	225	31	logistic	logistic	ADJ
fcis-13865	225	32	regression	regression	NOUN
fcis-13865	225	33	.	.	PUNCT
fcis-13865	226	1	the	the	DET
fcis-13865	226	2	detection	detection	NOUN
fcis-13865	226	3	results	result	VERB
fcis-13865	226	4	for	for	ADP
fcis-13865	226	5	experiment	experiment	NOUN
fcis-13865	226	6	scenario	scenario	NOUN
fcis-13865	226	7	two	two	NUM
fcis-13865	226	8	are	be	AUX
fcis-13865	226	9	shown	show	VERB
fcis-13865	226	10	in	in	ADP
fcis-13865	226	11	figure	figure	NOUN
fcis-13865	226	12	7	7	NUM
fcis-13865	226	13	.	.	PUNCT
fcis-13865	227	1	the	the	DET
fcis-13865	227	2	scd	scd	PROPN
fcis-13865	227	3	model	model	NOUN
fcis-13865	227	4	outperforms	outperform	VERB
fcis-13865	227	5	other	other	ADJ
fcis-13865	227	6	algorithms	algorithm	NOUN
fcis-13865	227	7	in	in	ADP
fcis-13865	227	8	the	the	DET
fcis-13865	227	9	binary	binary	PROPN
fcis-13865	227	10	classification	classification	NOUN
fcis-13865	227	11	task	task	NOUN
fcis-13865	227	12	,	,	PUNCT
fcis-13865	227	13	with	with	ADP
fcis-13865	227	14	an	an	DET
fcis-13865	227	15	exceptional	exceptional	ADJ
fcis-13865	227	16	accuracy	accuracy	NOUN
fcis-13865	227	17	rate	rate	NOUN
fcis-13865	227	18	of	of	ADP
fcis-13865	227	19	99.1	99.1	NUM
fcis-13865	227	20	%	%	NOUN
fcis-13865	227	21	.	.	PUNCT
fcis-13865	228	1	figure	figure	VERB
fcis-13865	228	2	7	7	NUM
fcis-13865	228	3	.	.	PUNCT
fcis-13865	228	4	performance	performance	NOUN
fcis-13865	228	5	evaluation	evaluation	NOUN
fcis-13865	228	6	of	of	ADP
fcis-13865	228	7	scd	scd	NOUN
fcis-13865	228	8	compared	compare	VERB
fcis-13865	228	9	to	to	ADP
fcis-13865	228	10	other	other	ADJ
fcis-13865	228	11	classic	classic	ADJ
fcis-13865	228	12	algorithms	algorithm	NOUN
fcis-13865	228	13	in	in	ADP
fcis-13865	228	14	binary	binary	ADJ
fcis-13865	228	15	classification	classification	NOUN
fcis-13865	228	16	task	task	NOUN
fcis-13865	228	17	in	in	ADP
fcis-13865	228	18	terms	term	NOUN
fcis-13865	228	19	of	of	ADP
fcis-13865	228	20	acc	acc	PROPN
fcis-13865	228	21	,	,	PUNCT
fcis-13865	228	22	prec	prec	PROPN
fcis-13865	228	23	,	,	PUNCT
fcis-13865	228	24	recall	recall	NOUN
fcis-13865	228	25	,	,	PUNCT
fcis-13865	228	26	and	and	CCONJ
fcis-13865	228	27	f1	f1	PROPN
fcis-13865	228	28	overall	overall	ADJ
fcis-13865	228	29	,	,	PUNCT
fcis-13865	228	30	all	all	DET
fcis-13865	228	31	three	three	NUM
fcis-13865	228	32	experiments	experiment	NOUN
fcis-13865	228	33	demonstrate	demonstrate	VERB
fcis-13865	228	34	more	more	ADV
fcis-13865	228	35	substantial	substantial	ADJ
fcis-13865	228	36	improvements	improvement	NOUN
fcis-13865	228	37	compared	compare	VERB
fcis-13865	228	38	to	to	ADP
fcis-13865	228	39	the	the	DET
fcis-13865	228	40	current	current	ADJ
fcis-13865	228	41	state	state	NOUN
fcis-13865	228	42	-	-	PUNCT
fcis-13865	228	43	ofthe	ofthe	NOUN
fcis-13865	228	44	-	-	PUNCT
fcis-13865	228	45	art	art	NOUN
fcis-13865	228	46	method	method	NOUN
fcis-13865	228	47	.	.	PUNCT
fcis-13865	229	1	therefore	therefore	ADV
fcis-13865	229	2	,	,	PUNCT
fcis-13865	229	3	the	the	DET
fcis-13865	229	4	scd	scd	PROPN
fcis-13865	229	5	model	model	NOUN
fcis-13865	229	6	proposed	propose	VERB
fcis-13865	229	7	in	in	ADP
fcis-13865	229	8	this	this	DET
fcis-13865	229	9	paper	paper	NOUN
fcis-13865	229	10	can	can	AUX
fcis-13865	229	11	effectively	effectively	ADV
fcis-13865	229	12	distinguish	distinguish	VERB
fcis-13865	229	13	ddos	ddo	NOUN
fcis-13865	229	14	attack	attack	NOUN
fcis-13865	229	15	types	type	NOUN
fcis-13865	229	16	.	.	PUNCT
fcis-13865	230	1	5	5	X
fcis-13865	230	2	.	.	X
fcis-13865	230	3	conclusion	conclusion	NOUN
fcis-13865	230	4	ddos	ddo	NOUN
fcis-13865	230	5	attacks	attack	NOUN
fcis-13865	230	6	are	be	AUX
fcis-13865	230	7	considered	consider	VERB
fcis-13865	230	8	one	one	NUM
fcis-13865	230	9	of	of	ADP
fcis-13865	230	10	the	the	DET
fcis-13865	230	11	most	most	ADV
fcis-13865	230	12	aggressive	aggressive	ADJ
fcis-13865	230	13	types	type	NOUN
fcis-13865	230	14	of	of	ADP
fcis-13865	230	15	attacks	attack	NOUN
fcis-13865	230	16	in	in	ADP
fcis-13865	230	17	recent	recent	ADJ
fcis-13865	230	18	years	year	NOUN
fcis-13865	230	19	,	,	PUNCT
fcis-13865	230	20	causing	cause	VERB
fcis-13865	230	21	serious	serious	ADJ
fcis-13865	230	22	impacts	impact	NOUN
fcis-13865	230	23	on	on	ADP
fcis-13865	230	24	the	the	DET
fcis-13865	230	25	entire	entire	ADJ
fcis-13865	230	26	network	network	NOUN
fcis-13865	230	27	system	system	NOUN
fcis-13865	230	28	.	.	PUNCT
fcis-13865	231	1	this	this	DET
fcis-13865	231	2	paper	paper	NOUN
fcis-13865	231	3	proposes	propose	VERB
fcis-13865	231	4	a	a	DET
fcis-13865	231	5	new	new	ADJ
fcis-13865	231	6	dlbased	dlbase	VERB
fcis-13865	231	7	model	model	NOUN
fcis-13865	231	8	,	,	PUNCT
fcis-13865	231	9	namely	namely	ADV
fcis-13865	231	10	scd	scd	NOUN
fcis-13865	231	11	,	,	PUNCT
fcis-13865	231	12	for	for	ADP
fcis-13865	231	13	detecting	detect	VERB
fcis-13865	231	14	ddos	ddo	NOUN
fcis-13865	231	15	attacks	attack	NOUN
fcis-13865	231	16	.	.	PUNCT
fcis-13865	232	1	to	to	PART
fcis-13865	232	2	simulate	simulate	VERB
fcis-13865	232	3	the	the	DET
fcis-13865	232	4	network	network	NOUN
fcis-13865	232	5	traffic	traffic	NOUN
fcis-13865	232	6	data	datum	NOUN
fcis-13865	232	7	under	under	ADP
fcis-13865	232	8	the	the	DET
fcis-13865	232	9	conditions	condition	NOUN
fcis-13865	232	10	of	of	ADP
fcis-13865	232	11	significant	significant	ADJ
fcis-13865	232	12	network	network	NOUN
fcis-13865	232	13	fluctuations	fluctuation	NOUN
fcis-13865	232	14	caused	cause	VERB
fcis-13865	232	15	by	by	ADP
fcis-13865	232	16	ddos	ddo	NOUN
fcis-13865	232	17	attacks	attack	NOUN
fcis-13865	232	18	,	,	PUNCT
fcis-13865	232	19	the	the	DET
fcis-13865	232	20	cic	cic	PROPN
fcis-13865	232	21	-	-	PUNCT
fcis-13865	232	22	ddos2019	ddos2019	VERB
fcis-13865	232	23	dataset	dataset	NOUN
fcis-13865	232	24	is	be	AUX
fcis-13865	232	25	employed	employ	VERB
fcis-13865	232	26	in	in	ADP
fcis-13865	232	27	this	this	DET
fcis-13865	232	28	paper	paper	NOUN
fcis-13865	232	29	.	.	PUNCT
fcis-13865	233	1	to	to	PART
fcis-13865	233	2	address	address	VERB
fcis-13865	233	3	the	the	DET
fcis-13865	233	4	issues	issue	NOUN
fcis-13865	233	5	of	of	ADP
fcis-13865	233	6	dirty	dirty	ADJ
fcis-13865	233	7	data	datum	NOUN
fcis-13865	233	8	,	,	PUNCT
fcis-13865	233	9	large	large	ADJ
fcis-13865	233	10	attribute	attribute	NOUN
fcis-13865	233	11	value	value	NOUN
fcis-13865	233	12	intervals	interval	NOUN
fcis-13865	233	13	,	,	PUNCT
fcis-13865	233	14	and	and	CCONJ
fcis-13865	233	15	imbalanced	imbalanced	ADJ
fcis-13865	233	16	categories	category	NOUN
fcis-13865	233	17	,	,	PUNCT
fcis-13865	233	18	a	a	DET
fcis-13865	233	19	targeted	target	VERB
fcis-13865	233	20	data	data	NOUN
fcis-13865	233	21	preprocessing	preprocessing	NOUN
fcis-13865	233	22	method	method	NOUN
fcis-13865	233	23	is	be	AUX
fcis-13865	233	24	proposed	propose	VERB
fcis-13865	233	25	through	through	ADP
fcis-13865	233	26	experiments	experiment	NOUN
fcis-13865	233	27	.	.	PUNCT
fcis-13865	234	1	the	the	DET
fcis-13865	234	2	scd	scd	PROPN
fcis-13865	234	3	model	model	NOUN
fcis-13865	234	4	utilizes	utilize	VERB
fcis-13865	234	5	both	both	CCONJ
fcis-13865	234	6	the	the	DET
fcis-13865	234	7	dimensionality	dimensionality	NOUN
fcis-13865	234	8	reduction	reduction	NOUN
fcis-13865	234	9	advantage	advantage	NOUN
fcis-13865	234	10	of	of	ADP
fcis-13865	234	11	sae	sae	PROPN
fcis-13865	234	12	and	and	CCONJ
fcis-13865	234	13	the	the	DET
fcis-13865	234	14	cnn	cnn	PROPN
fcis-13865	234	15	network	network	NOUN
fcis-13865	234	16	,	,	PUNCT
fcis-13865	234	17	achieving	achieve	VERB
fcis-13865	234	18	lightweight	lightweight	NOUN
fcis-13865	234	19	and	and	CCONJ
fcis-13865	234	20	precise	precise	ADJ
fcis-13865	234	21	modeling	modeling	NOUN
fcis-13865	234	22	.	.	PUNCT
fcis-13865	235	1	the	the	DET
fcis-13865	235	2	results	result	NOUN
fcis-13865	235	3	show	show	VERB
fcis-13865	235	4	that	that	SCONJ
fcis-13865	235	5	the	the	DET
fcis-13865	235	6	scd	scd	PROPN
fcis-13865	235	7	model	model	NOUN
fcis-13865	235	8	achieves	achieve	VERB
fcis-13865	235	9	an	an	DET
fcis-13865	235	10	accuracy	accuracy	NOUN
fcis-13865	235	11	of	of	ADP
fcis-13865	235	12	97.2	97.2	NUM
fcis-13865	235	13	%	%	NOUN
fcis-13865	235	14	for	for	ADP
fcis-13865	235	15	the	the	DET
fcis-13865	235	16	multi	multi	ADJ
fcis-13865	235	17	-	-	ADJ
fcis-13865	235	18	classification	classification	ADJ
fcis-13865	235	19	task	task	NOUN
fcis-13865	235	20	and	and	CCONJ
fcis-13865	235	21	an	an	DET
fcis-13865	235	22	accuracy	accuracy	NOUN
fcis-13865	235	23	of	of	ADP
fcis-13865	235	24	99.1	99.1	NUM
fcis-13865	235	25	%	%	NOUN
fcis-13865	235	26	for	for	ADP
fcis-13865	235	27	the	the	DET
fcis-13865	235	28	binary	binary	PROPN
fcis-13865	235	29	classification	classification	NOUN
fcis-13865	235	30	task	task	NOUN
fcis-13865	235	31	.	.	PUNCT
fcis-13865	236	1	however	however	ADV
fcis-13865	236	2	,	,	PUNCT
fcis-13865	236	3	further	further	ADJ
fcis-13865	236	4	research	research	NOUN
fcis-13865	236	5	is	be	AUX
fcis-13865	236	6	needed	need	VERB
fcis-13865	236	7	to	to	PART
fcis-13865	236	8	investigate	investigate	VERB
fcis-13865	236	9	the	the	DET
fcis-13865	236	10	performance	performance	NOUN
fcis-13865	236	11	of	of	ADP
fcis-13865	236	12	the	the	DET
fcis-13865	236	13	proposed	propose	VERB
fcis-13865	236	14	model	model	NOUN
fcis-13865	236	15	on	on	ADP
fcis-13865	236	16	other	other	ADJ
fcis-13865	236	17	datasets	dataset	NOUN
fcis-13865	236	18	.	.	PUNCT
fcis-13865	237	1	references	reference	NOUN
fcis-13865	237	2	[	[	X
fcis-13865	237	3	1	1	NUM
fcis-13865	237	4	]	]	X
fcis-13865	237	5	r	r	NOUN
fcis-13865	237	6	amrish	amrish	PROPN
fcis-13865	237	7	,	,	PUNCT
fcis-13865	237	8	k	k	PROPN
fcis-13865	237	9	bavapriyan	bavapriyan	PROPN
fcis-13865	237	10	,	,	PUNCT
fcis-13865	237	11	v	v	ADP
fcis-13865	237	12	gopinaath	gopinaath	NOUN
fcis-13865	237	13	,	,	PUNCT
fcis-13865	237	14	a	a	DET
fcis-13865	237	15	jawahar	jawahar	PROPN
fcis-13865	237	16	,	,	PUNCT
fcis-13865	237	17	and	and	CCONJ
fcis-13865	237	18	c	c	PROPN
fcis-13865	237	19	vinoth	vinoth	PROPN
fcis-13865	237	20	kumar	kumar	PROPN
fcis-13865	237	21	.	.	PUNCT
fcis-13865	238	1	ddos	ddos	PROPN
fcis-13865	238	2	detection	detection	NOUN
fcis-13865	238	3	using	use	VERB
fcis-13865	238	4	machine	machine	NOUN
fcis-13865	238	5	learning	learn	VERB
fcis-13865	238	6	techniques	technique	NOUN
fcis-13865	238	7	.	.	PUNCT
fcis-13865	239	1	journal	journal	PROPN
fcis-13865	239	2	of	of	ADP
fcis-13865	239	3	iot	iot	PROPN
fcis-13865	239	4	in	in	ADP
fcis-13865	239	5	social	social	ADJ
fcis-13865	239	6	,	,	PUNCT
fcis-13865	239	7	mobile	mobile	ADJ
fcis-13865	239	8	,	,	PUNCT
fcis-13865	239	9	analytics	analytic	NOUN
fcis-13865	239	10	,	,	PUNCT
fcis-13865	239	11	and	and	CCONJ
fcis-13865	239	12	cloud	cloud	NOUN
fcis-13865	239	13	,	,	PUNCT
fcis-13865	239	14	4(1):24–32	4(1):24–32	NUM
fcis-13865	239	15	,	,	PUNCT
fcis-13865	239	16	2022	2022	NUM
fcis-13865	239	17	.	.	PUNCT
fcis-13865	240	1	[	[	X
fcis-13865	240	2	2	2	NUM
fcis-13865	240	3	]	]	PUNCT
fcis-13865	240	4	andr	andr	PROPN
fcis-13865	240	5	és	és	PROPN
fcis-13865	240	6	chartuni	chartuni	PROPN
fcis-13865	240	7	and	and	CCONJ
fcis-13865	240	8	jos	jos	PROPN
fcis-13865	240	9	́e	́e	PROPN
fcis-13865	240	10	m	m	PROPN
fcis-13865	240	11	́arquez	́arquez	NOUN
fcis-13865	240	12	.	.	PUNCT
fcis-13865	241	1	multi	multi	ADJ
fcis-13865	241	2	-	-	ADJ
fcis-13865	241	3	classifier	classifier	NOUN
fcis-13865	241	4	of	of	ADP
fcis-13865	241	5	ddos	ddos	NOUN
fcis-13865	241	6	attacks	attack	NOUN
fcis-13865	241	7	in	in	ADP
fcis-13865	241	8	computer	computer	NOUN
fcis-13865	241	9	networks	network	NOUN
fcis-13865	241	10	built	build	VERB
fcis-13865	241	11	on	on	ADP
fcis-13865	241	12	neural	neural	ADJ
fcis-13865	241	13	networks	network	NOUN
fcis-13865	241	14	.	.	PUNCT
fcis-13865	242	1	applied	apply	VERB
fcis-13865	242	2	sciences	science	NOUN
fcis-13865	242	3	,	,	PUNCT
fcis-13865	242	4	11(22):10609	11(22):10609	NUM
fcis-13865	242	5	,	,	PUNCT
fcis-13865	242	6	2021	2021	NUM
fcis-13865	242	7	.	.	PUNCT
fcis-13865	243	1	[	[	X
fcis-13865	243	2	3	3	NUM
fcis-13865	243	3	]	]	PUNCT
fcis-13865	243	4	firooz	firooz	PROPN
fcis-13865	243	5	b	b	PROPN
fcis-13865	243	6	saghezchi	saghezchi	PROPN
fcis-13865	243	7	,	,	PUNCT
fcis-13865	243	8	georgios	georgios	PROPN
fcis-13865	243	9	mantas	mantas	PROPN
fcis-13865	243	10	,	,	PUNCT
fcis-13865	243	11	manuel	manuel	NOUN
fcis-13865	243	12	a	a	DET
fcis-13865	243	13	violas	violas	NOUN
fcis-13865	243	14	,	,	PUNCT
fcis-13865	243	15	a	a	DET
fcis-13865	243	16	manuel	manuel	PROPN
fcis-13865	243	17	de	de	PROPN
fcis-13865	243	18	oliveira	oliveira	PROPN
fcis-13865	243	19	duarte	duarte	PROPN
fcis-13865	243	20	,	,	PUNCT
fcis-13865	243	21	and	and	CCONJ
fcis-13865	243	22	jonathan	jonathan	PROPN
fcis-13865	243	23	rodriguez	rodriguez	PROPN
fcis-13865	243	24	.	.	PUNCT
fcis-13865	244	1	machine	machine	NOUN
fcis-13865	244	2	learning	learn	VERB
fcis-13865	244	3	for	for	ADP
fcis-13865	244	4	ddos	ddos	NOUN
fcis-13865	244	5	attack	attack	NOUN
fcis-13865	244	6	detection	detection	NOUN
fcis-13865	244	7	in	in	ADP
fcis-13865	244	8	industry	industry	NOUN
fcis-13865	244	9	4.0	4.0	NUM
fcis-13865	244	10	cppss	cppss	NOUN
fcis-13865	244	11	.	.	PUNCT
fcis-13865	245	1	electronics	electronic	NOUN
fcis-13865	245	2	,	,	PUNCT
fcis-13865	245	3	11(4):602	11(4):602	NUM
fcis-13865	245	4	,	,	PUNCT
fcis-13865	245	5	2022	2022	NUM
fcis-13865	245	6	.	.	PUNCT
fcis-13865	246	1	[	[	X
fcis-13865	246	2	4	4	NUM
fcis-13865	246	3	]	]	X
fcis-13865	246	4	meenakshi	meenakshi	PROPN
fcis-13865	246	5	mittal	mittal	PROPN
fcis-13865	246	6	,	,	PUNCT
fcis-13865	246	7	krishan	krishan	PROPN
fcis-13865	246	8	kumar	kumar	PROPN
fcis-13865	246	9	,	,	PUNCT
fcis-13865	246	10	and	and	CCONJ
fcis-13865	246	11	sunny	sunny	ADJ
fcis-13865	246	12	behal	behal	NOUN
fcis-13865	246	13	.	.	PUNCT
fcis-13865	247	1	deep	deep	ADJ
fcis-13865	247	2	learning	learning	NOUN
fcis-13865	247	3	approaches	approach	NOUN
fcis-13865	247	4	for	for	ADP
fcis-13865	247	5	detecting	detect	VERB
fcis-13865	247	6	ddos	ddo	NOUN
fcis-13865	247	7	attacks	attack	NOUN
fcis-13865	247	8	:	:	PUNCT
fcis-13865	247	9	a	a	DET
fcis-13865	247	10	systematic	systematic	ADJ
fcis-13865	247	11	review	review	NOUN
fcis-13865	247	12	.	.	PUNCT
fcis-13865	248	1	soft	soft	ADJ
fcis-13865	248	2	computing	computing	NOUN
fcis-13865	248	3	,	,	PUNCT
fcis-13865	248	4	pages	page	NOUN
fcis-13865	248	5	1–37	1–37	PROPN
fcis-13865	248	6	,	,	PUNCT
fcis-13865	248	7	2022	2022	NUM
fcis-13865	248	8	.	.	PUNCT
fcis-13865	249	1	[	[	X
fcis-13865	249	2	5	5	NUM
fcis-13865	249	3	]	]	PUNCT
fcis-13865	249	4	rahul	rahul	PROPN
fcis-13865	249	5	dey	dey	PROPN
fcis-13865	249	6	and	and	CCONJ
fcis-13865	249	7	fathi	fathi	PROPN
fcis-13865	249	8	m	m	PROPN
fcis-13865	249	9	salem	salem	PROPN
fcis-13865	249	10	.	.	PUNCT
fcis-13865	250	1	gate	gate	NOUN
fcis-13865	250	2	-	-	PUNCT
fcis-13865	250	3	variants	variant	NOUN
fcis-13865	250	4	of	of	ADP
fcis-13865	250	5	gated	gate	VERB
fcis-13865	250	6	recurrent	recurrent	ADJ
fcis-13865	250	7	unit	unit	NOUN
fcis-13865	250	8	(	(	PUNCT
fcis-13865	250	9	gru	gru	NOUN
fcis-13865	250	10	)	)	PUNCT
fcis-13865	250	11	neural	neural	ADJ
fcis-13865	250	12	networks	network	NOUN
fcis-13865	250	13	.	.	PUNCT
fcis-13865	251	1	in	in	ADP
fcis-13865	251	2	2017	2017	NUM
fcis-13865	251	3	ieee	ieee	NOUN
fcis-13865	251	4	60th	60th	ADJ
fcis-13865	251	5	international	international	ADJ
fcis-13865	251	6	midwest	midwest	PROPN
fcis-13865	251	7	symposium	symposium	NOUN
fcis-13865	251	8	on	on	ADP
fcis-13865	251	9	circuits	circuit	NOUN
fcis-13865	251	10	and	and	CCONJ
fcis-13865	251	11	systems	system	NOUN
fcis-13865	251	12	(	(	PUNCT
fcis-13865	251	13	mwscas	mwscas	ADJ
fcis-13865	251	14	)	)	PUNCT
fcis-13865	251	15	,	,	PUNCT
fcis-13865	251	16	pages	page	NOUN
fcis-13865	251	17	1597–1600	1597–1600	NUM
fcis-13865	251	18	.	.	PUNCT
fcis-13865	251	19	ieee	ieee	PROPN
fcis-13865	251	20	,	,	PUNCT
fcis-13865	251	21	2017	2017	NUM
fcis-13865	251	22	.	.	PUNCT
fcis-13865	252	1	[	[	X
fcis-13865	252	2	6	6	NUM
fcis-13865	252	3	]	]	PUNCT
fcis-13865	252	4	mazhar	mazhar	PROPN
fcis-13865	252	5	javed	javed	PROPN
fcis-13865	252	6	awan	awan	PROPN
fcis-13865	252	7	,	,	PUNCT
fcis-13865	252	8	umar	umar	PROPN
fcis-13865	252	9	farooq	farooq	PROPN
fcis-13865	252	10	,	,	PUNCT
fcis-13865	252	11	hafiz	hafiz	PROPN
fcis-13865	252	12	muhammad	muhammad	PROPN
fcis-13865	252	13	aqeel	aqeel	PROPN
fcis-13865	252	14	babar	babar	PROPN
fcis-13865	252	15	,	,	PUNCT
fcis-13865	252	16	awais	awais	PROPN
fcis-13865	252	17	yasin	yasin	PROPN
fcis-13865	252	18	,	,	PUNCT
fcis-13865	252	19	haitham	haitham	PROPN
fcis-13865	252	20	nobanee	nobanee	PROPN
fcis-13865	252	21	,	,	PUNCT
fcis-13865	252	22	muzammil	muzammil	PROPN
fcis-13865	252	23	hussain	hussain	PROPN
fcis-13865	252	24	,	,	PUNCT
fcis-13865	252	25	owais	owais	PROPN
fcis-13865	252	26	hakeem	hakeem	PROPN
fcis-13865	252	27	,	,	PUNCT
fcis-13865	252	28	and	and	CCONJ
fcis-13865	252	29	azlan	azlan	PROPN
fcis-13865	252	30	mohd	mohd	PROPN
fcis-13865	252	31	zain	zain	PROPN
fcis-13865	252	32	.	.	PUNCT
fcis-13865	253	1	real	real	ADJ
fcis-13865	253	2	-	-	PUNCT
fcis-13865	253	3	time	time	NOUN
fcis-13865	253	4	ddos	ddos	NOUN
fcis-13865	253	5	attack	attack	NOUN
fcis-13865	253	6	detection	detection	NOUN
fcis-13865	253	7	system	system	NOUN
fcis-13865	253	8	using	use	VERB
fcis-13865	253	9	big	big	ADJ
fcis-13865	253	10	data	datum	NOUN
fcis-13865	253	11	approach	approach	NOUN
fcis-13865	253	12	.	.	PUNCT
fcis-13865	254	1	sustainability	sustainability	NOUN
fcis-13865	254	2	,	,	PUNCT
fcis-13865	254	3	13(19):10743	13(19):10743	NUM
fcis-13865	254	4	,	,	PUNCT
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fcis-13865	254	6	.	.	PUNCT
fcis-13865	255	1	[	[	X
fcis-13865	255	2	7	7	NUM
fcis-13865	255	3	]	]	X
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fcis-13865	255	5	anh	anh	PROPN
fcis-13865	255	6	tuan	tuan	PROPN
fcis-13865	255	7	,	,	PUNCT
fcis-13865	255	8	hoang	hoang	PROPN
fcis-13865	255	9	viet	viet	PROPN
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fcis-13865	255	17	kumar	kumar	PROPN
fcis-13865	255	18	,	,	PUNCT
fcis-13865	255	19	ishaani	ishaani	PROPN
fcis-13865	255	20	priyadarshini	priyadarshini	PROPN
fcis-13865	255	21	,	,	PUNCT
fcis-13865	255	22	and	and	CCONJ
fcis-13865	255	23	nguyen	nguyen	NOUN
fcis-13865	255	24	thi	thi	VERB
fcis-13865	255	25	kim	kim	PROPN
fcis-13865	255	26	son	son	PROPN
fcis-13865	255	27	.	.	PUNCT
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fcis-13865	256	2	evaluation	evaluation	NOUN
fcis-13865	256	3	of	of	ADP
fcis-13865	256	4	botnet	botnet	NOUN
fcis-13865	256	5	ddos	ddo	NOUN
fcis-13865	256	6	attack	attack	NOUN
fcis-13865	256	7	detection	detection	NOUN
fcis-13865	256	8	using	use	VERB
fcis-13865	256	9	machine	machine	NOUN
fcis-13865	256	10	learning	learning	NOUN
fcis-13865	256	11	.	.	PUNCT
fcis-13865	257	1	evolutionary	evolutionary	ADJ
fcis-13865	257	2	intelligence	intelligence	NOUN
fcis-13865	257	3	,	,	PUNCT
fcis-13865	257	4	13:283–294	13:283–294	NUM
fcis-13865	257	5	,	,	PUNCT
fcis-13865	257	6	2020	2020	NUM
fcis-13865	257	7	.	.	PUNCT
fcis-13865	258	1	[	[	X
fcis-13865	258	2	8	8	NUM
fcis-13865	258	3	]	]	X
fcis-13865	258	4	m	m	PROPN
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fcis-13865	258	7	,	,	PUNCT
fcis-13865	258	8	v	v	ADP
fcis-13865	258	9	prasanta	prasanta	ADJ
fcis-13865	258	10	babu	babu	PROPN
fcis-13865	258	11	,	,	PUNCT
fcis-13865	258	12	and	and	CCONJ
fcis-13865	258	13	c	c	PROPN
fcis-13865	258	14	amarnath	amarnath	PROPN
fcis-13865	258	15	.	.	PUNCT
fcis-13865	259	1	machine	machine	NOUN
fcis-13865	259	2	learning	learn	VERB
fcis-13865	259	3	ddos	ddo	NOUN
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fcis-13865	260	2	.	.	PUNCT
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fcis-13865	261	2	.	.	PUNCT
fcis-13865	262	1	sci	sci	PROPN
fcis-13865	262	2	.	.	PUNCT
fcis-13865	262	3	eng	eng	PROPN
fcis-13865	262	4	,	,	PUNCT
fcis-13865	262	5	7(4):157–16	7(4):157–16	NOUN
fcis-13865	262	6	,	,	PUNCT
fcis-13865	262	7	2019	2019	NUM
fcis-13865	262	8	.	.	PUNCT
fcis-13865	263	1	[	[	X
fcis-13865	263	2	9	9	NUM
fcis-13865	263	3	]	]	X
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fcis-13865	263	5	alduailij	alduailij	PROPN
fcis-13865	263	6	,	,	PUNCT
fcis-13865	263	7	qazi	qazi	PROPN
fcis-13865	263	8	waqas	waqas	PROPN
fcis-13865	263	9	khan	khan	PROPN
fcis-13865	263	10	,	,	PUNCT
fcis-13865	263	11	muhammad	muhammad	PROPN
fcis-13865	263	12	tahir	tahir	PROPN
fcis-13865	263	13	,	,	PUNCT
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fcis-13865	263	15	sardaraz	sardaraz	PROPN
fcis-13865	263	16	,	,	PUNCT
fcis-13865	263	17	mai	mai	PROPN
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fcis-13865	263	19	,	,	PUNCT
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fcis-13865	263	21	fazila	fazila	PROPN
fcis-13865	263	22	malik	malik	PROPN
fcis-13865	263	23	.	.	PUNCT
fcis-13865	264	1	machine	machine	NOUN
fcis-13865	264	2	-	-	PUNCT
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fcis-13865	264	4	-	-	PUNCT
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fcis-13865	264	8	detection	detection	NOUN
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fcis-13865	264	12	and	and	CCONJ
fcis-13865	264	13	random	random	ADJ
fcis-13865	264	14	forest	forest	NOUN
fcis-13865	264	15	feature	feature	NOUN
fcis-13865	264	16	importance	importance	NOUN
fcis-13865	264	17	method	method	NOUN
fcis-13865	264	18	.	.	PUNCT
fcis-13865	265	1	symmetry	symmetry	NOUN
fcis-13865	265	2	,	,	PUNCT
fcis-13865	265	3	14(6):1095	14(6):1095	NUM
fcis-13865	265	4	,	,	PUNCT
fcis-13865	265	5	2022	2022	NUM
fcis-13865	265	6	.	.	PUNCT
fcis-13865	266	1	[	[	X
fcis-13865	266	2	10	10	NUM
fcis-13865	266	3	]	]	PUNCT
fcis-13865	266	4	thanh	thanh	NOUN
fcis-13865	266	5	thi	thi	PROPN
fcis-13865	266	6	nguyen	nguyen	NOUN
fcis-13865	266	7	and	and	CCONJ
fcis-13865	266	8	vijay	vijay	NOUN
fcis-13865	266	9	janapa	janapa	PROPN
fcis-13865	266	10	reddi	reddi	PROPN
fcis-13865	266	11	.	.	PUNCT
fcis-13865	267	1	deep	deep	ADJ
fcis-13865	267	2	reinforcement	reinforcement	NOUN
fcis-13865	267	3	learning	learning	NOUN
fcis-13865	267	4	for	for	ADP
fcis-13865	267	5	cyber	cyber	ADJ
fcis-13865	267	6	security	security	NOUN
fcis-13865	267	7	.	.	PUNCT
fcis-13865	268	1	ieee	ieee	NOUN
fcis-13865	268	2	transactions	transaction	NOUN
fcis-13865	268	3	on	on	ADP
fcis-13865	268	4	neural	neural	ADJ
fcis-13865	268	5	networks	network	NOUN
fcis-13865	268	6	and	and	CCONJ
fcis-13865	268	7	learning	learning	NOUN
fcis-13865	268	8	systems	system	NOUN
fcis-13865	268	9	,	,	PUNCT
fcis-13865	268	10	2021	2021	NUM
fcis-13865	268	11	.	.	PUNCT
fcis-13865	269	1	[	[	X
fcis-13865	269	2	11	11	NUM
fcis-13865	269	3	]	]	PUNCT
fcis-13865	269	4	mohammed	mohammed	PROPN
fcis-13865	269	5	k	k	PROPN
fcis-13865	269	6	alzaylaee	alzaylaee	PROPN
fcis-13865	269	7	,	,	PUNCT
fcis-13865	269	8	suleiman	suleiman	PROPN
fcis-13865	269	9	y	y	PROPN
fcis-13865	269	10	y	y	PROPN
fcis-13865	269	11	erima	erima	PROPN
fcis-13865	269	12	,	,	PUNCT
fcis-13865	269	13	and	and	CCONJ
fcis-13865	269	14	sakir	sakir	VERB
fcis-13865	269	15	sezer	sez	ADJ
fcis-13865	269	16	.	.	PUNCT
fcis-13865	270	1	dl	dl	PROPN
fcis-13865	270	2	-	-	PUNCT
fcis-13865	270	3	droid	droid	NOUN
fcis-13865	270	4	:	:	PUNCT
fcis-13865	270	5	deep	deep	ADJ
fcis-13865	270	6	learning	learning	NOUN
fcis-13865	270	7	based	base	VERB
fcis-13865	270	8	android	android	PROPN
fcis-13865	270	9	malware	malware	NOUN
fcis-13865	270	10	detection	detection	NOUN
fcis-13865	270	11	using	use	VERB
fcis-13865	270	12	real	real	ADJ
fcis-13865	270	13	devices	device	NOUN
fcis-13865	270	14	.	.	PUNCT
fcis-13865	271	1	computers	computer	NOUN
fcis-13865	271	2	&	&	CCONJ
fcis-13865	271	3	security	security	NOUN
fcis-13865	271	4	,	,	PUNCT
fcis-13865	271	5	89:101663	89:101663	NUM
fcis-13865	271	6	,	,	PUNCT
fcis-13865	271	7	2020	2020	NUM
fcis-13865	271	8	.	.	PUNCT
fcis-13865	272	1	[	[	X
fcis-13865	272	2	12	12	NUM
fcis-13865	272	3	]	]	PUNCT
fcis-13865	272	4	roberto	roberto	ADJ
fcis-13865	272	5	doriguzzi	doriguzzi	NOUN
fcis-13865	272	6	-	-	PUNCT
fcis-13865	272	7	corin	corin	NOUN
fcis-13865	272	8	,	,	PUNCT
fcis-13865	272	9	stuart	stuart	PROPN
fcis-13865	272	10	millar	millar	PROPN
fcis-13865	272	11	,	,	PUNCT
fcis-13865	272	12	sandra	sandra	PROPN
fcis-13865	272	13	scott	scott	PROPN
fcis-13865	272	14	-	-	PUNCT
fcis-13865	272	15	hayward	hayward	PROPN
fcis-13865	272	16	,	,	PUNCT
fcis-13865	272	17	jesus	jesus	PROPN
fcis-13865	272	18	martinez	martinez	PROPN
fcis-13865	272	19	-	-	PUNCT
fcis-13865	272	20	del	del	PROPN
fcis-13865	272	21	rincon	rincon	PROPN
fcis-13865	272	22	,	,	PUNCT
fcis-13865	272	23	and	and	CCONJ
fcis-13865	272	24	domenico	domenico	PROPN
fcis-13865	272	25	siracusa	siracusa	PROPN
fcis-13865	272	26	.	.	PROPN
fcis-13865	272	27	lucid	lucid	PROPN
fcis-13865	272	28	:	:	PUNCT
fcis-13865	272	29	a	a	DET
fcis-13865	272	30	practical	practical	ADJ
fcis-13865	272	31	,	,	PUNCT
fcis-13865	272	32	lightweight	lightweight	ADJ
fcis-13865	272	33	deep	deep	ADJ
fcis-13865	272	34	learning	learning	NOUN
fcis-13865	272	35	solution	solution	NOUN
fcis-13865	272	36	for	for	ADP
fcis-13865	272	37	ddos	ddos	NOUN
fcis-13865	272	38	attack	attack	NOUN
fcis-13865	272	39	detection	detection	NOUN
fcis-13865	272	40	.	.	PUNCT
fcis-13865	273	1	ieee	ieee	NOUN
fcis-13865	273	2	transactions	transaction	NOUN
fcis-13865	273	3	on	on	ADP
fcis-13865	273	4	network	network	NOUN
fcis-13865	273	5	and	and	CCONJ
fcis-13865	273	6	service	service	NOUN
fcis-13865	273	7	management	management	NOUN
fcis-13865	273	8	,	,	PUNCT
fcis-13865	273	9	17(2):876–889	17(2):876–889	NUM
fcis-13865	273	10	,	,	PUNCT
fcis-13865	273	11	2020	2020	NUM
fcis-13865	273	12	.	.	PUNCT
fcis-13865	274	1	[	[	X
fcis-13865	274	2	13	13	NUM
fcis-13865	274	3	]	]	PUNCT
fcis-13865	274	4	suman	suman	PROPN
fcis-13865	274	5	nandi	nandi	PROPN
fcis-13865	274	6	,	,	PUNCT
fcis-13865	274	7	santanu	santanu	ADJ
fcis-13865	274	8	phadikar	phadikar	NOUN
fcis-13865	274	9	,	,	PUNCT
fcis-13865	274	10	and	and	CCONJ
fcis-13865	274	11	koushik	koushik	PROPN
fcis-13865	274	12	majumder	majumder	NOUN
fcis-13865	274	13	.	.	PUNCT
fcis-13865	274	14	detection	detection	NOUN
fcis-13865	274	15	of	of	ADP
fcis-13865	274	16	ddos	ddo	NOUN
fcis-13865	274	17	attack	attack	NOUN
fcis-13865	274	18	and	and	CCONJ
fcis-13865	274	19	classification	classification	NOUN
fcis-13865	274	20	using	use	VERB
fcis-13865	274	21	a	a	DET
fcis-13865	274	22	hybrid	hybrid	ADJ
fcis-13865	274	23	approach	approach	NOUN
fcis-13865	274	24	.	.	PUNCT
fcis-13865	275	1	in	in	ADP
fcis-13865	275	2	2020	2020	NUM
fcis-13865	275	3	third	third	ADJ
fcis-13865	275	4	isea	isea	PROPN
fcis-13865	275	5	conference	conference	NOUN
fcis-13865	275	6	on	on	ADP
fcis-13865	275	7	security	security	NOUN
fcis-13865	275	8	and	and	CCONJ
fcis-13865	275	9	privacy	privacy	NOUN
fcis-13865	275	10	(	(	PUNCT
fcis-13865	275	11	isea	isea	PROPN
fcis-13865	275	12	-	-	PUNCT
fcis-13865	275	13	isap	isap	PROPN
fcis-13865	275	14	)	)	PUNCT
fcis-13865	275	15	,	,	PUNCT
fcis-13865	275	16	pages	page	NOUN
fcis-13865	275	17	41–47	41–47	VERB
fcis-13865	275	18	.	.	PUNCT
fcis-13865	276	1	ieee	ieee	PROPN
fcis-13865	276	2	,	,	PUNCT
fcis-13865	276	3	2020	2020	NUM
fcis-13865	276	4	.	.	PUNCT
fcis-13865	277	1	[	[	X
fcis-13865	277	2	14	14	NUM
fcis-13865	277	3	]	]	SYM
fcis-13865	277	4	kishwar	kishwar	NOUN
fcis-13865	277	5	sadaf	sadaf	NOUN
fcis-13865	277	6	and	and	CCONJ
fcis-13865	277	7	jabeen	jabeen	PROPN
fcis-13865	277	8	sultana	sultana	PROPN
fcis-13865	277	9	.	.	PUNCT
fcis-13865	278	1	intrusion	intrusion	NOUN
fcis-13865	278	2	detection	detection	NOUN
fcis-13865	278	3	based	base	VERB
fcis-13865	278	4	on	on	ADP
fcis-13865	278	5	autoencoder	autoencoder	NOUN
fcis-13865	278	6	and	and	CCONJ
fcis-13865	278	7	isolation	isolation	NOUN
fcis-13865	278	8	forest	forest	NOUN
fcis-13865	278	9	in	in	ADP
fcis-13865	278	10	fog	fog	PROPN
fcis-13865	278	11	computing	computing	NOUN
fcis-13865	278	12	.	.	PUNCT
fcis-13865	279	1	ieee	ieee	NOUN
fcis-13865	279	2	access	access	NOUN
fcis-13865	279	3	,	,	PUNCT
fcis-13865	279	4	8:167059–167068	8:167059–167068	NUM
fcis-13865	279	5	,	,	PUNCT
fcis-13865	279	6	2020	2020	NUM
fcis-13865	279	7	.	.	PUNCT
fcis-13865	280	1	[	[	X
fcis-13865	280	2	15	15	NUM
fcis-13865	280	3	]	]	X
fcis-13865	280	4	duy	duy	PROPN
fcis-13865	280	5	-	-	PUNCT
fcis-13865	280	6	cat	cat	NOUN
fcis-13865	280	7	can	can	AUX
fcis-13865	280	8	,	,	PUNCT
fcis-13865	280	9	hoang	hoang	PROPN
fcis-13865	280	10	-	-	PUNCT
fcis-13865	280	11	quynh	quynh	NOUN
fcis-13865	280	12	le	le	X
fcis-13865	280	13	,	,	PUNCT
fcis-13865	280	14	and	and	CCONJ
fcis-13865	280	15	quang	quang	VERB
fcis-13865	280	16	-	-	NOUN
fcis-13865	280	17	thuy	thuy	INTJ
fcis-13865	280	18	ha	ha	INTJ
fcis-13865	280	19	.	.	NOUN
fcis-13865	280	20	detection	detection	NOUN
fcis-13865	280	21	of	of	ADP
fcis-13865	280	22	distributed	distribute	VERB
fcis-13865	280	23	denial	denial	NOUN
fcis-13865	280	24	of	of	ADP
fcis-13865	280	25	service	service	NOUN
fcis-13865	280	26	attacks	attack	NOUN
fcis-13865	280	27	using	use	VERB
fcis-13865	280	28	automatic	automatic	ADJ
fcis-13865	280	29	feature	feature	NOUN
fcis-13865	280	30	selectionwith	selectionwith	NOUN
fcis-13865	280	31	enhancement	enhancement	NOUN
fcis-13865	280	32	for	for	ADP
fcis-13865	280	33	imbalance	imbalance	NOUN
fcis-13865	280	34	dataset	dataset	NOUN
fcis-13865	280	35	.	.	PUNCT
fcis-13865	281	1	in	in	ADP
fcis-13865	281	2	intelligent	intelligent	ADJ
fcis-13865	281	3	information	information	NOUN
fcis-13865	281	4	and	and	CCONJ
fcis-13865	281	5	database	database	NOUN
fcis-13865	281	6	systems	system	NOUN
fcis-13865	281	7	:	:	PUNCT
fcis-13865	281	8	13th	13th	ADJ
fcis-13865	281	9	asian	asian	ADJ
fcis-13865	281	10	conference	conference	NOUN
fcis-13865	281	11	,	,	PUNCT
fcis-13865	281	12	aciids	aciid	NOUN
fcis-13865	281	13	2021	2021	NUM
fcis-13865	281	14	,	,	PUNCT
fcis-13865	281	15	phuket	phuket	NOUN
fcis-13865	281	16	,	,	PUNCT
fcis-13865	281	17	thailand	thailand	PROPN
fcis-13865	281	18	,	,	PUNCT
fcis-13865	281	19	april	april	PROPN
fcis-13865	281	20	7	7	NUM
fcis-13865	281	21	–	–	PUNCT
fcis-13865	281	22	10	10	NUM
fcis-13865	281	23	,	,	PUNCT
fcis-13865	281	24	2021	2021	NUM
fcis-13865	281	25	,	,	PUNCT
fcis-13865	281	26	proceedings	proceeding	NOUN
fcis-13865	281	27	13	13	NUM
fcis-13865	281	28	,	,	PUNCT
fcis-13865	281	29	pages	page	NOUN
fcis-13865	281	30	386–398	386–398	NUM
fcis-13865	281	31	.	.	PUNCT
fcis-13865	281	32	springer	springer	NOUN
fcis-13865	281	33	,	,	PUNCT
fcis-13865	281	34	2021	2021	NUM
fcis-13865	281	35	.	.	PUNCT
fcis-13865	282	1	[	[	X
fcis-13865	282	2	16	16	NUM
fcis-13865	282	3	]	]	X
fcis-13865	282	4	sonam	sonam	PROPN
fcis-13865	282	5	salaria	salaria	PROPN
fcis-13865	282	6	,	,	PUNCT
fcis-13865	282	7	sakshi	sakshi	PROPN
fcis-13865	282	8	arora	arora	PROPN
fcis-13865	282	9	,	,	PUNCT
fcis-13865	282	10	nishita	nishita	PROPN
fcis-13865	282	11	goyal	goyal	PROPN
fcis-13865	282	12	,	,	PUNCT
fcis-13865	282	13	pooja	pooja	PROPN
fcis-13865	282	14	goyal	goyal	PROPN
fcis-13865	282	15	,	,	PUNCT
fcis-13865	282	16	and	and	CCONJ
fcis-13865	282	17	shifaly	shifaly	PROPN
fcis-13865	282	18	sharma	sharma	PROPN
fcis-13865	282	19	.	.	PUNCT
fcis-13865	283	1	implementation	implementation	NOUN
fcis-13865	283	2	and	and	CCONJ
fcis-13865	283	3	analysis	analysis	NOUN
fcis-13865	283	4	of	of	ADP
fcis-13865	283	5	an	an	DET
fcis-13865	283	6	improved	improved	ADJ
fcis-13865	283	7	pca	pca	NOUN
fcis-13865	283	8	technique	technique	NOUN
fcis-13865	283	9	for	for	ADP
fcis-13865	283	10	ddos	ddos	NOUN
fcis-13865	283	11	detection	detection	NOUN
fcis-13865	283	12	.	.	PUNCT
fcis-13865	284	1	in	in	ADP
fcis-13865	284	2	2020	2020	NUM
fcis-13865	284	3	ieee	ieee	NOUN
fcis-13865	284	4	5th	5th	ADJ
fcis-13865	284	5	international	international	ADJ
fcis-13865	284	6	conference	conference	NOUN
fcis-13865	284	7	on	on	ADP
fcis-13865	284	8	computing	compute	VERB
fcis-13865	284	9	communication	communication	NOUN
fcis-13865	284	10	and	and	CCONJ
fcis-13865	284	11	automation	automation	NOUN
fcis-13865	284	12	(	(	PUNCT
fcis-13865	284	13	iccca	iccca	NOUN
fcis-13865	284	14	)	)	PUNCT
fcis-13865	284	15	,	,	PUNCT
fcis-13865	284	16	pages	page	NOUN
fcis-13865	284	17	280–285	280–285	NUM
fcis-13865	284	18	,	,	PUNCT
fcis-13865	284	19	2020	2020	NUM
fcis-13865	284	20	.	.	PUNCT
fcis-13865	285	1	[	[	X
fcis-13865	285	2	17	17	NUM
fcis-13865	285	3	]	]	X
fcis-13865	285	4	iman	iman	NOUN
fcis-13865	285	5	sharafaldin	sharafaldin	PROPN
fcis-13865	285	6	,	,	PUNCT
fcis-13865	285	7	arash	arash	PROPN
fcis-13865	285	8	habibi	habibi	PROPN
fcis-13865	285	9	lashkari	lashkari	PROPN
fcis-13865	285	10	,	,	PUNCT
fcis-13865	285	11	saqib	saqib	NOUN
fcis-13865	285	12	hakak	hakak	PROPN
fcis-13865	285	13	,	,	PUNCT
fcis-13865	285	14	and	and	CCONJ
fcis-13865	285	15	ali	ali	VERB
fcis-13865	285	16	a	a	DET
fcis-13865	285	17	ghorbani	ghorbani	NOUN
fcis-13865	285	18	.	.	PUNCT
fcis-13865	286	1	developing	develop	VERB
fcis-13865	286	2	realistic	realistic	ADJ
fcis-13865	286	3	distributed	distribute	VERB
fcis-13865	286	4	denial	denial	NOUN
fcis-13865	286	5	of	of	ADP
fcis-13865	286	6	service	service	NOUN
fcis-13865	286	7	(	(	PUNCT
fcis-13865	286	8	ddos	ddo	NOUN
fcis-13865	286	9	)	)	PUNCT
fcis-13865	286	10	attackdataset	attackdataset	NOUN
fcis-13865	286	11	and	and	CCONJ
fcis-13865	286	12	taxonomy	taxonomy	NOUN
fcis-13865	286	13	.	.	PUNCT
fcis-13865	287	1	in	in	ADP
fcis-13865	287	2	2019	2019	NUM
fcis-13865	287	3	international	international	ADJ
fcis-13865	287	4	carnahan	carnahan	PROPN
fcis-13865	287	5	conference	conference	NOUN
fcis-13865	287	6	on	on	ADP
fcis-13865	287	7	security	security	NOUN
fcis-13865	287	8	technology	technology	NOUN
fcis-13865	287	9	(	(	PUNCT
fcis-13865	287	10	iccst	iccst	NOUN
fcis-13865	287	11	)	)	PUNCT
fcis-13865	287	12	,	,	PUNCT
fcis-13865	287	13	pages	page	NOUN
fcis-13865	287	14	1–8	1–8	PROPN
fcis-13865	287	15	.	.	PUNCT
fcis-13865	287	16	ieee	ieee	PROPN
fcis-13865	287	17	,	,	PUNCT
fcis-13865	287	18	2019	2019	NUM
fcis-13865	287	19	.	.	PUNCT
fcis-13865	288	1	[	[	X
fcis-13865	288	2	18	18	NUM
fcis-13865	288	3	]	]	X
fcis-13865	288	4	alex	alex	PROPN
fcis-13865	288	5	krizhevsky	krizhevsky	PROPN
fcis-13865	288	6	,	,	PUNCT
fcis-13865	288	7	ilya	ilya	PROPN
fcis-13865	288	8	sutskever	sutskever	VERB
fcis-13865	288	9	,	,	PUNCT
fcis-13865	288	10	and	and	CCONJ
fcis-13865	288	11	geoffrey	geoffrey	PROPN
fcis-13865	288	12	e	e	PROPN
fcis-13865	288	13	hinton	hinton	PROPN
fcis-13865	288	14	.	.	PUNCT
fcis-13865	289	1	imagenet	imagenet	PROPN
fcis-13865	289	2	classification	classification	NOUN
fcis-13865	289	3	with	with	ADP
fcis-13865	289	4	deep	deep	ADJ
fcis-13865	289	5	convolutional	convolutional	ADJ
fcis-13865	289	6	neural	neural	ADJ
fcis-13865	289	7	networks	network	NOUN
fcis-13865	289	8	.	.	PUNCT
fcis-13865	290	1	communications	communication	NOUN
fcis-13865	290	2	of	of	ADP
fcis-13865	290	3	the	the	DET
fcis-13865	290	4	acm	acm	NOUN
fcis-13865	290	5	,	,	PUNCT
fcis-13865	290	6	60(6):84–90	60(6):84–90	NUM
fcis-13865	290	7	,	,	PUNCT
fcis-13865	290	8	2017	2017	NUM
fcis-13865	290	9	.	.	PUNCT
fcis-13865	291	1	[	[	X
fcis-13865	291	2	19	19	NUM
fcis-13865	291	3	]	]	PUNCT
fcis-13865	291	4	kaiming	kaime	VERB
fcis-13865	291	5	he	he	PRON
fcis-13865	291	6	,	,	PUNCT
fcis-13865	291	7	xiangyu	xiangyu	PROPN
fcis-13865	291	8	zhang	zhang	PROPN
fcis-13865	291	9	,	,	PUNCT
fcis-13865	291	10	shaoqing	shaoqe	VERB
fcis-13865	291	11	ren	ren	PROPN
fcis-13865	291	12	,	,	PUNCT
fcis-13865	291	13	and	and	CCONJ
fcis-13865	291	14	jian	jian	PROPN
fcis-13865	291	15	sun	sun	PROPN
fcis-13865	291	16	.	.	PUNCT
fcis-13865	292	1	deep	deep	ADJ
fcis-13865	292	2	residual	residual	ADJ
fcis-13865	292	3	learning	learning	NOUN
fcis-13865	292	4	for	for	ADP
fcis-13865	292	5	image	image	NOUN
fcis-13865	292	6	recognition	recognition	NOUN
fcis-13865	292	7	.	.	PUNCT
fcis-13865	293	1	in	in	ADP
fcis-13865	293	2	proceedings	proceeding	NOUN
fcis-13865	293	3	of	of	ADP
fcis-13865	293	4	the	the	DET
fcis-13865	293	5	ieee	ieee	NOUN
fcis-13865	293	6	conference	conference	NOUN
fcis-13865	293	7	on	on	ADP
fcis-13865	293	8	computer	computer	NOUN
fcis-13865	293	9	vision	vision	NOUN
fcis-13865	293	10	and	and	CCONJ
fcis-13865	293	11	pattern	pattern	NOUN
fcis-13865	293	12	recognition	recognition	NOUN
fcis-13865	293	13	,	,	PUNCT
fcis-13865	293	14	pages	page	NOUN
fcis-13865	293	15	770–778	770–778	NUM
fcis-13865	293	16	,	,	PUNCT
fcis-13865	293	17	2016	2016	NUM
fcis-13865	293	18	.	.	PUNCT
fcis-13865	294	1	[	[	X
fcis-13865	294	2	20	20	NUM
fcis-13865	294	3	]	]	PUNCT
fcis-13865	294	4	marcos	marcos	PROPN
fcis-13865	294	5	v	v	PROPN
fcis-13865	294	6	.	.	PUNCT
fcis-13865	295	1	o.	o.	PROPN
fcis-13865	295	2	de	de	X
fcis-13865	295	3	assis	assis	PROPN
fcis-13865	295	4	,	,	PUNCT
fcis-13865	295	5	l.	l.	PROPN
fcis-13865	295	6	f.	f.	PROPN
fcis-13865	295	7	carvalho	carvalho	PROPN
fcis-13865	295	8	,	,	PUNCT
fcis-13865	295	9	j.	j.	PROPN
fcis-13865	295	10	rodrigues	rodrigues	PROPN
fcis-13865	295	11	,	,	PUNCT
fcis-13865	295	12	jaime	jaime	PROPN
fcis-13865	295	13	lloret	lloret	PROPN
fcis-13865	295	14	,	,	PUNCT
fcis-13865	295	15	and	and	CCONJ
fcis-13865	295	16	m.	m.	NOUN
fcis-13865	295	17	l.	l.	PROPN
fcis-13865	295	18	proenc	proenc	PROPN
fcis-13865	295	19	a̧.	a̧.	PROPN
fcis-13865	295	20	near	near	ADP
fcis-13865	295	21	real	real	ADJ
fcis-13865	295	22	-	-	PUNCT
fcis-13865	295	23	time	time	NOUN
fcis-13865	295	24	security	security	NOUN
fcis-13865	295	25	system	system	NOUN
fcis-13865	295	26	applied	apply	VERB
fcis-13865	295	27	to	to	ADP
fcis-13865	295	28	sdn	sdn	PROPN
fcis-13865	295	29	environments	environment	NOUN
fcis-13865	295	30	in	in	ADP
fcis-13865	295	31	iot	iot	NOUN
fcis-13865	295	32	networks	network	NOUN
fcis-13865	295	33	using	use	VERB
fcis-13865	295	34	convolutional	convolutional	ADJ
fcis-13865	295	35	neural	neural	ADJ
fcis-13865	295	36	network	network	NOUN
fcis-13865	295	37	.	.	PUNCT
fcis-13865	296	1	comput	comput	NOUN
fcis-13865	296	2	.	.	PUNCT
fcis-13865	297	1	electr	electr	PROPN
fcis-13865	297	2	.	.	PUNCT
fcis-13865	298	1	eng	eng	PROPN
fcis-13865	298	2	.	.	PROPN
fcis-13865	298	3	,	,	PUNCT
fcis-13865	298	4	86:106738	86:106738	NUM
fcis-13865	298	5	,	,	PUNCT
fcis-13865	298	6	2020	2020	NUM
fcis-13865	298	7	.	.	PUNCT