id	sid	tid	token	lemma	pos
aiti-4286	1	1	advances	advance	NOUN
aiti-4286	1	2	in	in	ADP
aiti-4286	1	3	technology	technology	NOUN
aiti-4286	1	4	innovation	innovation	NOUN
aiti-4286	1	5	,	,	PUNCT
aiti-4286	1	6	vol	vol	NOUN
aiti-4286	1	7	.	.	PROPN
aiti-4286	2	1	5	5	NUM
aiti-4286	2	2	,	,	PUNCT
aiti-4286	2	3	no	no	INTJ
aiti-4286	2	4	.	.	NOUN
aiti-4286	2	5	4	4	NUM
aiti-4286	2	6	,	,	PUNCT
aiti-4286	2	7	2020	2020	NUM
aiti-4286	2	8	,	,	PUNCT
aiti-4286	2	9	pp	pp	ADV
aiti-4286	2	10	.	.	PUNCT
aiti-4286	3	1	216	216	NUM
aiti-4286	3	2	-	-	SYM
aiti-4286	3	3	229	229	NUM
aiti-4286	3	4	application	application	NOUN
aiti-4286	3	5	-	-	PUNCT
aiti-4286	3	6	based	base	VERB
aiti-4286	3	7	online	online	ADJ
aiti-4286	3	8	traffic	traffic	NOUN
aiti-4286	3	9	classification	classification	NOUN
aiti-4286	3	10	with	with	ADP
aiti-4286	3	11	deep	deep	ADJ
aiti-4286	3	12	learning	learning	NOUN
aiti-4286	3	13	models	model	NOUN
aiti-4286	3	14	on	on	ADP
aiti-4286	3	15	sdn	sdn	PROPN
aiti-4286	3	16	networks	network	NOUN
aiti-4286	3	17	lin	lin	PROPN
aiti-4286	3	18	-	-	PUNCT
aiti-4286	3	19	huang	huang	PROPN
aiti-4286	3	20	chang	chang	PROPN
aiti-4286	3	21	1	1	PROPN
aiti-4286	3	22	,	,	PUNCT
aiti-4286	3	23	*	*	PUNCT
aiti-4286	3	24	,	,	PUNCT
aiti-4286	3	25	tsung	tsung	PROPN
aiti-4286	3	26	-	-	PUNCT
aiti-4286	3	27	han	han	PROPN
aiti-4286	3	28	lee	lee	PROPN
aiti-4286	3	29	1	1	NUM
aiti-4286	3	30	,	,	PUNCT
aiti-4286	3	31	hung	hung	NOUN
aiti-4286	3	32	-	-	PUNCT
aiti-4286	3	33	chi	chi	PROPN
aiti-4286	3	34	chu	chu	PROPN
aiti-4286	3	35	2	2	NUM
aiti-4286	3	36	,	,	PUNCT
aiti-4286	3	37	cheng	cheng	PROPN
aiti-4286	3	38	-	-	PUNCT
aiti-4286	3	39	wei	wei	PROPN
aiti-4286	3	40	su	su	PROPN
aiti-4286	3	41	1	1	NUM
aiti-4286	3	42	1	1	NUM
aiti-4286	3	43	department	department	NOUN
aiti-4286	3	44	of	of	ADP
aiti-4286	3	45	computer	computer	NOUN
aiti-4286	3	46	science	science	NOUN
aiti-4286	3	47	,	,	PUNCT
aiti-4286	3	48	national	national	PROPN
aiti-4286	3	49	taichung	taichung	PROPN
aiti-4286	3	50	university	university	PROPN
aiti-4286	3	51	of	of	ADP
aiti-4286	3	52	education	education	PROPN
aiti-4286	3	53	,	,	PUNCT
aiti-4286	3	54	taichung	taichung	PROPN
aiti-4286	3	55	,	,	PUNCT
aiti-4286	3	56	taiwan	taiwan	PROPN
aiti-4286	3	57	2	2	NUM
aiti-4286	3	58	department	department	NOUN
aiti-4286	3	59	of	of	ADP
aiti-4286	3	60	information	information	NOUN
aiti-4286	3	61	and	and	CCONJ
aiti-4286	3	62	communication	communication	NOUN
aiti-4286	3	63	engineering	engineering	NOUN
aiti-4286	3	64	,	,	PUNCT
aiti-4286	3	65	chaoyang	chaoyang	PROPN
aiti-4286	3	66	university	university	PROPN
aiti-4286	3	67	of	of	ADP
aiti-4286	3	68	technology	technology	PROPN
aiti-4286	3	69	,	,	PUNCT
aiti-4286	3	70	taiwan	taiwan	PROPN
aiti-4286	3	71	received	receive	VERB
aiti-4286	3	72	19	19	NUM
aiti-4286	3	73	december	december	PROPN
aiti-4286	3	74	2019	2019	NUM
aiti-4286	3	75	;	;	PUNCT
aiti-4286	3	76	received	receive	VERB
aiti-4286	3	77	in	in	ADP
aiti-4286	3	78	revised	revise	VERB
aiti-4286	3	79	form	form	NOUN
aiti-4286	3	80	10	10	NUM
aiti-4286	3	81	march	march	NOUN
aiti-4286	3	82	2020	2020	NUM
aiti-4286	3	83	;	;	PUNCT
aiti-4286	3	84	accepted	accept	VERB
aiti-4286	3	85	03	03	NUM
aiti-4286	3	86	july	july	PROPN
aiti-4286	3	87	2020	2020	NUM
aiti-4286	3	88	doi	doi	NOUN
aiti-4286	3	89	:	:	PUNCT
aiti-4286	3	90	https://doi.org/10.46604/aiti.2020.4286	https://doi.org/10.46604/aiti.2020.4286	ADJ
aiti-4286	3	91	abstract	abstract	NOUN
aiti-4286	3	92	the	the	DET
aiti-4286	3	93	traffic	traffic	NOUN
aiti-4286	3	94	classification	classification	NOUN
aiti-4286	3	95	based	base	VERB
aiti-4286	3	96	on	on	ADP
aiti-4286	3	97	the	the	DET
aiti-4286	3	98	network	network	NOUN
aiti-4286	3	99	applications	application	NOUN
aiti-4286	3	100	is	be	AUX
aiti-4286	3	101	one	one	NUM
aiti-4286	3	102	important	important	ADJ
aiti-4286	3	103	issue	issue	NOUN
aiti-4286	3	104	for	for	ADP
aiti-4286	3	105	network	network	NOUN
aiti-4286	3	106	management	management	NOUN
aiti-4286	3	107	.	.	PUNCT
aiti-4286	4	1	in	in	ADP
aiti-4286	4	2	this	this	DET
aiti-4286	4	3	paper	paper	NOUN
aiti-4286	4	4	,	,	PUNCT
aiti-4286	4	5	we	we	PRON
aiti-4286	4	6	propose	propose	VERB
aiti-4286	4	7	an	an	DET
aiti-4286	4	8	application	application	NOUN
aiti-4286	4	9	-	-	PUNCT
aiti-4286	4	10	based	base	VERB
aiti-4286	4	11	online	online	ADJ
aiti-4286	4	12	and	and	CCONJ
aiti-4286	4	13	offline	offline	ADJ
aiti-4286	4	14	traffic	traffic	NOUN
aiti-4286	4	15	classification	classification	NOUN
aiti-4286	4	16	,	,	PUNCT
aiti-4286	4	17	based	base	VERB
aiti-4286	4	18	on	on	ADP
aiti-4286	4	19	deep	deep	ADJ
aiti-4286	4	20	learning	learning	NOUN
aiti-4286	4	21	mechanisms	mechanism	NOUN
aiti-4286	4	22	,	,	PUNCT
aiti-4286	4	23	over	over	ADP
aiti-4286	4	24	software	software	NOUN
aiti-4286	4	25	-	-	PUNCT
aiti-4286	4	26	defined	define	VERB
aiti-4286	4	27	network	network	NOUN
aiti-4286	4	28	(	(	PUNCT
aiti-4286	4	29	sdn	sdn	PROPN
aiti-4286	4	30	)	)	PUNCT
aiti-4286	4	31	testbed	testbe	VERB
aiti-4286	4	32	.	.	PUNCT
aiti-4286	5	1	the	the	DET
aiti-4286	5	2	designed	design	VERB
aiti-4286	5	3	deep	deep	ADJ
aiti-4286	5	4	learning	learning	NOUN
aiti-4286	5	5	model	model	NOUN
aiti-4286	5	6	,	,	PUNCT
aiti-4286	5	7	resigned	resign	VERB
aiti-4286	5	8	in	in	ADP
aiti-4286	5	9	the	the	DET
aiti-4286	5	10	sdn	sdn	NOUN
aiti-4286	5	11	controller	controller	NOUN
aiti-4286	5	12	,	,	PUNCT
aiti-4286	5	13	consists	consist	VERB
aiti-4286	5	14	of	of	ADP
aiti-4286	5	15	multilayer	multilayer	ADJ
aiti-4286	5	16	perceptron	perceptron	PROPN
aiti-4286	5	17	(	(	PUNCT
aiti-4286	5	18	mlp	mlp	PROPN
aiti-4286	5	19	)	)	PUNCT
aiti-4286	5	20	,	,	PUNCT
aiti-4286	5	21	convolutional	convolutional	ADJ
aiti-4286	5	22	neural	neural	ADJ
aiti-4286	5	23	network	network	NOUN
aiti-4286	5	24	(	(	PUNCT
aiti-4286	5	25	cnn	cnn	PROPN
aiti-4286	5	26	)	)	PUNCT
aiti-4286	5	27	,	,	PUNCT
aiti-4286	5	28	and	and	CCONJ
aiti-4286	5	29	stacked	stack	VERB
aiti-4286	5	30	auto	auto	NOUN
aiti-4286	5	31	-	-	PUNCT
aiti-4286	5	32	encoder	encoder	NOUN
aiti-4286	5	33	(	(	PUNCT
aiti-4286	5	34	sae	sae	PROPN
aiti-4286	5	35	)	)	PUNCT
aiti-4286	5	36	,	,	PUNCT
aiti-4286	5	37	in	in	ADP
aiti-4286	5	38	the	the	DET
aiti-4286	5	39	sdn	sdn	NOUN
aiti-4286	5	40	testbed	testbe	VERB
aiti-4286	5	41	.	.	PUNCT
aiti-4286	6	1	we	we	PRON
aiti-4286	6	2	employ	employ	VERB
aiti-4286	6	3	an	an	DET
aiti-4286	6	4	open	open	ADJ
aiti-4286	6	5	network	network	NOUN
aiti-4286	6	6	traffic	traffic	NOUN
aiti-4286	6	7	dataset	dataset	VERB
aiti-4286	6	8	with	with	ADP
aiti-4286	6	9	seven	seven	NUM
aiti-4286	6	10	most	most	ADV
aiti-4286	6	11	popular	popular	ADJ
aiti-4286	6	12	applications	application	NOUN
aiti-4286	6	13	as	as	ADP
aiti-4286	6	14	the	the	DET
aiti-4286	6	15	deep	deep	ADJ
aiti-4286	6	16	learning	learning	NOUN
aiti-4286	6	17	training	training	NOUN
aiti-4286	6	18	and	and	CCONJ
aiti-4286	6	19	testing	testing	NOUN
aiti-4286	6	20	datasets	dataset	NOUN
aiti-4286	6	21	.	.	PUNCT
aiti-4286	7	1	by	by	ADP
aiti-4286	7	2	using	use	VERB
aiti-4286	7	3	the	the	DET
aiti-4286	7	4	tcpreplay	tcpreplay	NOUN
aiti-4286	7	5	tool	tool	NOUN
aiti-4286	7	6	,	,	PUNCT
aiti-4286	7	7	the	the	DET
aiti-4286	7	8	dataset	dataset	NOUN
aiti-4286	7	9	traffic	traffic	NOUN
aiti-4286	7	10	samples	sample	NOUN
aiti-4286	7	11	are	be	AUX
aiti-4286	7	12	re	re	VERB
aiti-4286	7	13	-	-	VERB
aiti-4286	7	14	produced	produce	VERB
aiti-4286	7	15	and	and	CCONJ
aiti-4286	7	16	analyzed	analyze	VERB
aiti-4286	7	17	in	in	ADP
aiti-4286	7	18	our	our	PRON
aiti-4286	7	19	sdn	sdn	NOUN
aiti-4286	7	20	testbed	testbe	VERB
aiti-4286	7	21	to	to	PART
aiti-4286	7	22	emulate	emulate	VERB
aiti-4286	7	23	the	the	DET
aiti-4286	7	24	online	online	ADJ
aiti-4286	7	25	traffic	traffic	NOUN
aiti-4286	7	26	service	service	NOUN
aiti-4286	7	27	.	.	PUNCT
aiti-4286	8	1	the	the	DET
aiti-4286	8	2	performance	performance	NOUN
aiti-4286	8	3	analyses	analyse	VERB
aiti-4286	8	4	,	,	PUNCT
aiti-4286	8	5	in	in	ADP
aiti-4286	8	6	terms	term	NOUN
aiti-4286	8	7	of	of	ADP
aiti-4286	8	8	accuracy	accuracy	NOUN
aiti-4286	8	9	,	,	PUNCT
aiti-4286	8	10	precision	precision	NOUN
aiti-4286	8	11	,	,	PUNCT
aiti-4286	8	12	recall	recall	NOUN
aiti-4286	8	13	,	,	PUNCT
aiti-4286	8	14	and	and	CCONJ
aiti-4286	8	15	f1	f1	NOUN
aiti-4286	8	16	indicators	indicator	NOUN
aiti-4286	8	17	,	,	PUNCT
aiti-4286	8	18	are	be	AUX
aiti-4286	8	19	conducted	conduct	VERB
aiti-4286	8	20	and	and	CCONJ
aiti-4286	8	21	compared	compare	VERB
aiti-4286	8	22	with	with	ADP
aiti-4286	8	23	three	three	NUM
aiti-4286	8	24	deep	deep	ADJ
aiti-4286	8	25	learning	learning	NOUN
aiti-4286	8	26	models	model	NOUN
aiti-4286	8	27	.	.	PUNCT
aiti-4286	9	1	keywords	keyword	NOUN
aiti-4286	9	2	:	:	PUNCT
aiti-4286	9	3	software	software	NOUN
aiti-4286	9	4	defined	define	VERB
aiti-4286	9	5	network	network	NOUN
aiti-4286	9	6	,	,	PUNCT
aiti-4286	9	7	network	network	NOUN
aiti-4286	9	8	traffic	traffic	NOUN
aiti-4286	9	9	classification	classification	NOUN
aiti-4286	9	10	,	,	PUNCT
aiti-4286	9	11	deep	deep	ADJ
aiti-4286	9	12	learning	learning	NOUN
aiti-4286	9	13	,	,	PUNCT
aiti-4286	9	14	tensorflow	tensorflow	NOUN
aiti-4286	9	15	1	1	NUM
aiti-4286	9	16	.	.	PUNCT
aiti-4286	9	17	introduction	introduction	NOUN
aiti-4286	9	18	artificial	artificial	ADJ
aiti-4286	9	19	intelligence	intelligence	NOUN
aiti-4286	9	20	(	(	PUNCT
aiti-4286	9	21	ai	ai	PROPN
aiti-4286	9	22	)	)	PUNCT
aiti-4286	9	23	has	have	AUX
aiti-4286	9	24	been	be	AUX
aiti-4286	9	25	one	one	NUM
aiti-4286	9	26	of	of	ADP
aiti-4286	9	27	the	the	DET
aiti-4286	9	28	hottest	hot	ADJ
aiti-4286	9	29	topics	topic	NOUN
aiti-4286	9	30	currently	currently	ADV
aiti-4286	9	31	.	.	PUNCT
aiti-4286	10	1	machine	machine	NOUN
aiti-4286	10	2	learning	learning	NOUN
aiti-4286	10	3	(	(	PUNCT
aiti-4286	10	4	ml	ml	NOUN
aiti-4286	10	5	)	)	PUNCT
aiti-4286	10	6	,	,	PUNCT
aiti-4286	10	7	which	which	PRON
aiti-4286	10	8	is	be	AUX
aiti-4286	10	9	a	a	DET
aiti-4286	10	10	subset	subset	NOUN
aiti-4286	10	11	of	of	ADP
aiti-4286	10	12	ai	ai	NOUN
aiti-4286	10	13	and	and	CCONJ
aiti-4286	10	14	adjusts	adjust	VERB
aiti-4286	10	15	itself	itself	PRON
aiti-4286	10	16	in	in	ADP
aiti-4286	10	17	response	response	NOUN
aiti-4286	10	18	to	to	ADP
aiti-4286	10	19	the	the	DET
aiti-4286	10	20	data	datum	NOUN
aiti-4286	10	21	it	it	PRON
aiti-4286	10	22	is	be	AUX
aiti-4286	10	23	exposed	expose	VERB
aiti-4286	10	24	to	to	ADP
aiti-4286	10	25	,	,	PUNCT
aiti-4286	10	26	will	will	AUX
aiti-4286	10	27	enable	enable	VERB
aiti-4286	10	28	the	the	DET
aiti-4286	10	29	machines	machine	NOUN
aiti-4286	10	30	to	to	PART
aiti-4286	10	31	improve	improve	VERB
aiti-4286	10	32	at	at	ADP
aiti-4286	10	33	the	the	DET
aiti-4286	10	34	task	task	NOUN
aiti-4286	10	35	with	with	ADP
aiti-4286	10	36	experience	experience	NOUN
aiti-4286	10	37	.	.	PUNCT
aiti-4286	11	1	among	among	ADP
aiti-4286	11	2	different	different	ADJ
aiti-4286	11	3	machine	machine	NOUN
aiti-4286	11	4	learning	learn	VERB
aiti-4286	11	5	schemes	scheme	NOUN
aiti-4286	11	6	,	,	PUNCT
aiti-4286	11	7	shallow	shallow	ADJ
aiti-4286	11	8	neural	neural	ADJ
aiti-4286	11	9	networks	network	NOUN
aiti-4286	11	10	,	,	PUNCT
aiti-4286	11	11	such	such	ADJ
aiti-4286	11	12	as	as	ADP
aiti-4286	11	13	backpropagation	backpropagation	NOUN
aiti-4286	11	14	neural	neural	ADJ
aiti-4286	11	15	network	network	NOUN
aiti-4286	11	16	,	,	PUNCT
aiti-4286	11	17	bayesian	bayesian	NOUN
aiti-4286	11	18	network	network	NOUN
aiti-4286	11	19	,	,	PUNCT
aiti-4286	11	20	support	support	NOUN
aiti-4286	11	21	vector	vector	NOUN
aiti-4286	11	22	machine	machine	NOUN
aiti-4286	11	23	(	(	PUNCT
aiti-4286	11	24	svm	svm	PROPN
aiti-4286	11	25	)	)	PUNCT
aiti-4286	11	26	,	,	PUNCT
aiti-4286	11	27	and	and	CCONJ
aiti-4286	11	28	c4.5	c4.5	PROPN
aiti-4286	11	29	decision	decision	NOUN
aiti-4286	11	30	tree	tree	NOUN
aiti-4286	11	31	,	,	PUNCT
aiti-4286	11	32	are	be	AUX
aiti-4286	11	33	commonly	commonly	ADV
aiti-4286	11	34	used	use	VERB
aiti-4286	11	35	to	to	PART
aiti-4286	11	36	build	build	VERB
aiti-4286	11	37	traffic	traffic	NOUN
aiti-4286	11	38	classifiers	classifier	NOUN
aiti-4286	11	39	for	for	ADP
aiti-4286	11	40	network	network	NOUN
aiti-4286	11	41	services	service	NOUN
aiti-4286	11	42	in	in	ADP
aiti-4286	11	43	many	many	ADJ
aiti-4286	11	44	machine	machine	NOUN
aiti-4286	11	45	learning	learning	NOUN
aiti-4286	11	46	-	-	PUNCT
aiti-4286	11	47	based	base	VERB
aiti-4286	11	48	classification	classification	NOUN
aiti-4286	11	49	schemes	scheme	NOUN
aiti-4286	11	50	.	.	PUNCT
aiti-4286	12	1	due	due	ADP
aiti-4286	12	2	to	to	ADP
aiti-4286	12	3	the	the	DET
aiti-4286	12	4	continuous	continuous	ADJ
aiti-4286	12	5	expansion	expansion	NOUN
aiti-4286	12	6	of	of	ADP
aiti-4286	12	7	network	network	NOUN
aiti-4286	12	8	and	and	CCONJ
aiti-4286	12	9	considerable	considerable	ADJ
aiti-4286	12	10	deployment	deployment	NOUN
aiti-4286	12	11	of	of	ADP
aiti-4286	12	12	the	the	DET
aiti-4286	12	13	internet	internet	NOUN
aiti-4286	12	14	of	of	ADP
aiti-4286	12	15	things	thing	NOUN
aiti-4286	12	16	(	(	PUNCT
aiti-4286	12	17	iots	iot	NOUN
aiti-4286	12	18	)	)	PUNCT
aiti-4286	12	19	,	,	PUNCT
aiti-4286	12	20	great	great	ADJ
aiti-4286	12	21	amount	amount	NOUN
aiti-4286	12	22	of	of	ADP
aiti-4286	12	23	data	datum	NOUN
aiti-4286	12	24	and	and	CCONJ
aiti-4286	12	25	information	information	NOUN
aiti-4286	12	26	have	have	AUX
aiti-4286	12	27	been	be	AUX
aiti-4286	12	28	collected	collect	VERB
aiti-4286	12	29	and	and	CCONJ
aiti-4286	12	30	consequently	consequently	ADV
aiti-4286	12	31	promoted	promote	VERB
aiti-4286	12	32	the	the	DET
aiti-4286	12	33	arrival	arrival	NOUN
aiti-4286	12	34	of	of	ADP
aiti-4286	12	35	the	the	DET
aiti-4286	12	36	big	big	ADJ
aiti-4286	12	37	data	data	PROPN
aiti-4286	12	38	era	era	NOUN
aiti-4286	12	39	.	.	PUNCT
aiti-4286	13	1	furthermore	furthermore	ADV
aiti-4286	13	2	,	,	PUNCT
aiti-4286	13	3	with	with	ADP
aiti-4286	13	4	the	the	DET
aiti-4286	13	5	significant	significant	ADJ
aiti-4286	13	6	promotion	promotion	NOUN
aiti-4286	13	7	in	in	ADP
aiti-4286	13	8	processing	processing	NOUN
aiti-4286	13	9	speed	speed	NOUN
aiti-4286	13	10	of	of	ADP
aiti-4286	13	11	computing	compute	VERB
aiti-4286	13	12	hardware	hardware	NOUN
aiti-4286	13	13	such	such	ADJ
aiti-4286	13	14	as	as	ADP
aiti-4286	13	15	graphics	graphics	NOUN
aiti-4286	13	16	processing	processing	NOUN
aiti-4286	13	17	unit	unit	NOUN
aiti-4286	13	18	(	(	PUNCT
aiti-4286	13	19	gpu	gpu	PROPN
aiti-4286	13	20	)	)	PUNCT
aiti-4286	13	21	and	and	CCONJ
aiti-4286	13	22	tensor	tensor	NOUN
aiti-4286	13	23	processing	processing	NOUN
aiti-4286	13	24	unit	unit	NOUN
aiti-4286	13	25	(	(	PUNCT
aiti-4286	13	26	tpu	tpu	PROPN
aiti-4286	13	27	)	)	PUNCT
aiti-4286	13	28	,	,	PUNCT
aiti-4286	13	29	the	the	DET
aiti-4286	13	30	deep	deep	ADJ
aiti-4286	13	31	learning	learning	NOUN
aiti-4286	13	32	(	(	PUNCT
aiti-4286	13	33	dl	dl	NOUN
aiti-4286	13	34	)	)	PUNCT
aiti-4286	13	35	using	use	VERB
aiti-4286	13	36	deep	deep	ADJ
aiti-4286	13	37	neural	neural	ADJ
aiti-4286	13	38	networks	network	NOUN
aiti-4286	13	39	,	,	PUNCT
aiti-4286	13	40	which	which	PRON
aiti-4286	13	41	provide	provide	VERB
aiti-4286	13	42	higher	high	ADJ
aiti-4286	13	43	classification	classification	NOUN
aiti-4286	13	44	accuracy	accuracy	NOUN
aiti-4286	13	45	than	than	ADP
aiti-4286	13	46	the	the	DET
aiti-4286	13	47	shallow	shallow	ADJ
aiti-4286	13	48	neural	neural	ADJ
aiti-4286	13	49	networks	network	NOUN
aiti-4286	13	50	,	,	PUNCT
aiti-4286	13	51	have	have	AUX
aiti-4286	13	52	been	be	AUX
aiti-4286	13	53	the	the	DET
aiti-4286	13	54	major	major	ADJ
aiti-4286	13	55	focus	focus	NOUN
aiti-4286	13	56	on	on	ADP
aiti-4286	13	57	ml	ml	ADP
aiti-4286	13	58	.	.	PUNCT
aiti-4286	14	1	the	the	DET
aiti-4286	14	2	promising	promise	VERB
aiti-4286	14	3	ml	ml	NOUN
aiti-4286	14	4	techniques	technique	NOUN
aiti-4286	14	5	,	,	PUNCT
aiti-4286	14	6	such	such	ADJ
aiti-4286	14	7	as	as	ADP
aiti-4286	14	8	deep	deep	ADJ
aiti-4286	14	9	neural	neural	ADJ
aiti-4286	14	10	networks	network	NOUN
aiti-4286	14	11	provides	provide	VERB
aiti-4286	14	12	a	a	DET
aiti-4286	14	13	good	good	ADJ
aiti-4286	14	14	opportunity	opportunity	NOUN
aiti-4286	14	15	and	and	CCONJ
aiti-4286	14	16	key	key	NOUN
aiti-4286	14	17	to	to	ADP
aiti-4286	14	18	the	the	DET
aiti-4286	14	19	data	data	NOUN
aiti-4286	14	20	-	-	PUNCT
aiti-4286	14	21	driven	drive	VERB
aiti-4286	14	22	machine	machine	NOUN
aiti-4286	14	23	learning	learn	VERB
aiti-4286	14	24	algorithms	algorithm	NOUN
aiti-4286	14	25	in	in	ADP
aiti-4286	14	26	the	the	DET
aiti-4286	14	27	network	network	NOUN
aiti-4286	14	28	field	field	NOUN
aiti-4286	14	29	.	.	PUNCT
aiti-4286	15	1	on	on	ADP
aiti-4286	15	2	the	the	DET
aiti-4286	15	3	other	other	ADJ
aiti-4286	15	4	hand	hand	NOUN
aiti-4286	15	5	,	,	PUNCT
aiti-4286	15	6	more	more	ADJ
aiti-4286	15	7	and	and	CCONJ
aiti-4286	15	8	more	more	ADJ
aiti-4286	15	9	application	application	NOUN
aiti-4286	15	10	services	service	NOUN
aiti-4286	15	11	have	have	AUX
aiti-4286	15	12	emerged	emerge	VERB
aiti-4286	15	13	over	over	ADP
aiti-4286	15	14	the	the	DET
aiti-4286	15	15	internet	internet	NOUN
aiti-4286	15	16	.	.	PUNCT
aiti-4286	16	1	the	the	DET
aiti-4286	16	2	network	network	NOUN
aiti-4286	16	3	management	management	NOUN
aiti-4286	16	4	issues	issue	NOUN
aiti-4286	16	5	,	,	PUNCT
aiti-4286	16	6	including	include	VERB
aiti-4286	16	7	quality	quality	NOUN
aiti-4286	16	8	of	of	ADP
aiti-4286	16	9	service	service	NOUN
aiti-4286	16	10	(	(	PUNCT
aiti-4286	16	11	qos	qos	PROPN
aiti-4286	16	12	)	)	PUNCT
aiti-4286	16	13	setting	setting	NOUN
aiti-4286	16	14	,	,	PUNCT
aiti-4286	16	15	network	network	NOUN
aiti-4286	16	16	policy	policy	NOUN
aiti-4286	16	17	,	,	PUNCT
aiti-4286	16	18	network	network	NOUN
aiti-4286	16	19	security	security	NOUN
aiti-4286	16	20	as	as	ADV
aiti-4286	16	21	well	well	ADV
aiti-4286	16	22	as	as	ADP
aiti-4286	16	23	intrusion	intrusion	NOUN
aiti-4286	16	24	detection	detection	NOUN
aiti-4286	16	25	,	,	PUNCT
aiti-4286	16	26	majorly	majorly	ADV
aiti-4286	16	27	depend	depend	VERB
aiti-4286	16	28	on	on	ADP
aiti-4286	16	29	the	the	DET
aiti-4286	16	30	accuracy	accuracy	NOUN
aiti-4286	16	31	of	of	ADP
aiti-4286	16	32	network	network	NOUN
aiti-4286	16	33	traffic	traffic	NOUN
aiti-4286	16	34	classification	classification	NOUN
aiti-4286	16	35	for	for	ADP
aiti-4286	16	36	applications	application	NOUN
aiti-4286	16	37	.	.	PUNCT
aiti-4286	17	1	the	the	DET
aiti-4286	17	2	emerged	emerge	VERB
aiti-4286	17	3	applications	application	NOUN
aiti-4286	17	4	or	or	CCONJ
aiti-4286	17	5	services	service	NOUN
aiti-4286	17	6	may	may	AUX
aiti-4286	17	7	not	not	PART
aiti-4286	17	8	be	be	AUX
aiti-4286	17	9	identified	identify	VERB
aiti-4286	17	10	by	by	ADP
aiti-4286	17	11	*	*	PUNCT
aiti-4286	17	12	corresponding	correspond	VERB
aiti-4286	17	13	author	author	NOUN
aiti-4286	17	14	.	.	PUNCT
aiti-4286	18	1	e	e	X
aiti-4286	18	2	-	-	NOUN
aiti-4286	18	3	mail	mail	NOUN
aiti-4286	18	4	address	address	NOUN
aiti-4286	18	5	:	:	PUNCT
aiti-4286	18	6	lchang@mail.ntcu.edu.tw	lchang@mail.ntcu.edu.tw	NOUN
aiti-4286	18	7	tel	tel	PROPN
aiti-4286	18	8	.	.	PUNCT
aiti-4286	18	9	:	:	PUNCT
aiti-4286	19	1	+886	+886	NUM
aiti-4286	19	2	-	-	PUNCT
aiti-4286	19	3	4	4	NUM
aiti-4286	19	4	-	-	PUNCT
aiti-4286	19	5	22183812	22183812	NUM
aiti-4286	19	6	;	;	PUNCT
aiti-4286	19	7	fax	fax	NOUN
aiti-4286	19	8	:	:	PUNCT
aiti-4286	19	9	+886	+886	NUM
aiti-4286	19	10	-	-	PUNCT
aiti-4286	19	11	4	4	NUM
aiti-4286	19	12	-	-	PUNCT
aiti-4286	19	13	22183580	22183580	NUM
aiti-4286	19	14	advances	advance	NOUN
aiti-4286	19	15	in	in	ADP
aiti-4286	19	16	technology	technology	NOUN
aiti-4286	19	17	innovation	innovation	NOUN
aiti-4286	19	18	,	,	PUNCT
aiti-4286	19	19	vol	vol	NOUN
aiti-4286	19	20	.	.	PROPN
aiti-4286	20	1	5	5	NUM
aiti-4286	20	2	,	,	PUNCT
aiti-4286	20	3	no	no	INTJ
aiti-4286	20	4	.	.	NOUN
aiti-4286	20	5	4	4	NUM
aiti-4286	20	6	,	,	PUNCT
aiti-4286	20	7	2020	2020	NUM
aiti-4286	20	8	,	,	PUNCT
aiti-4286	20	9	pp	pp	ADV
aiti-4286	20	10	.	.	PUNCT
aiti-4286	21	1	216	216	NUM
aiti-4286	21	2	-	-	SYM
aiti-4286	21	3	229	229	NUM
aiti-4286	21	4	217	217	NUM
aiti-4286	21	5	the	the	DET
aiti-4286	21	6	traditional	traditional	ADJ
aiti-4286	21	7	schemes	scheme	NOUN
aiti-4286	21	8	,	,	PUNCT
aiti-4286	21	9	such	such	ADJ
aiti-4286	21	10	as	as	ADP
aiti-4286	21	11	simply	simply	ADV
aiti-4286	21	12	checking	check	VERB
aiti-4286	21	13	source	source	NOUN
aiti-4286	21	14	/	/	SYM
aiti-4286	21	15	destination	destination	NOUN
aiti-4286	21	16	ip	ip	NOUN
aiti-4286	21	17	addresses	address	NOUN
aiti-4286	21	18	in	in	ADP
aiti-4286	21	19	the	the	DET
aiti-4286	21	20	network	network	NOUN
aiti-4286	21	21	layer	layer	NOUN
aiti-4286	21	22	or	or	CCONJ
aiti-4286	21	23	source	source	NOUN
aiti-4286	21	24	/	/	SYM
aiti-4286	21	25	destination	destination	NOUN
aiti-4286	21	26	port	port	NOUN
aiti-4286	21	27	numbers	number	NOUN
aiti-4286	21	28	as	as	ADV
aiti-4286	21	29	well	well	ADV
aiti-4286	21	30	as	as	ADP
aiti-4286	21	31	protocols	protocol	NOUN
aiti-4286	21	32	in	in	ADP
aiti-4286	21	33	the	the	DET
aiti-4286	21	34	transport	transport	NOUN
aiti-4286	21	35	layer	layer	NOUN
aiti-4286	21	36	,	,	PUNCT
aiti-4286	21	37	because	because	SCONJ
aiti-4286	21	38	they	they	PRON
aiti-4286	21	39	might	might	AUX
aiti-4286	21	40	pass	pass	VERB
aiti-4286	21	41	through	through	ADP
aiti-4286	21	42	different	different	ADJ
aiti-4286	21	43	network	network	NOUN
aiti-4286	21	44	address	address	NOUN
aiti-4286	21	45	translation	translation	NOUN
aiti-4286	21	46	(	(	PUNCT
aiti-4286	21	47	nat	nat	PROPN
aiti-4286	21	48	)	)	PUNCT
aiti-4286	21	49	or	or	CCONJ
aiti-4286	21	50	virtual	virtual	ADJ
aiti-4286	21	51	private	private	ADJ
aiti-4286	21	52	network	network	NOUN
aiti-4286	21	53	(	(	PUNCT
aiti-4286	21	54	vpn	vpn	NOUN
aiti-4286	21	55	)	)	PUNCT
aiti-4286	21	56	,	,	PUNCT
aiti-4286	21	57	or	or	CCONJ
aiti-4286	21	58	they	they	PRON
aiti-4286	21	59	may	may	AUX
aiti-4286	21	60	not	not	PART
aiti-4286	21	61	utilize	utilize	VERB
aiti-4286	21	62	the	the	DET
aiti-4286	21	63	standard	standard	ADJ
aiti-4286	21	64	port	port	NOUN
aiti-4286	21	65	numbers	number	NOUN
aiti-4286	21	66	or	or	CCONJ
aiti-4286	21	67	fields	field	NOUN
aiti-4286	21	68	.	.	PUNCT
aiti-4286	22	1	therefore	therefore	ADV
aiti-4286	22	2	,	,	PUNCT
aiti-4286	22	3	to	to	PART
aiti-4286	22	4	provide	provide	VERB
aiti-4286	22	5	proper	proper	ADJ
aiti-4286	22	6	qos	qos	NOUN
aiti-4286	22	7	for	for	ADP
aiti-4286	22	8	a	a	DET
aiti-4286	22	9	specific	specific	ADJ
aiti-4286	22	10	application	application	NOUN
aiti-4286	22	11	,	,	PUNCT
aiti-4286	22	12	it	it	PRON
aiti-4286	22	13	might	might	AUX
aiti-4286	22	14	need	need	VERB
aiti-4286	22	15	to	to	PART
aiti-4286	22	16	manually	manually	ADV
aiti-4286	22	17	verify	verify	VERB
aiti-4286	22	18	or	or	CCONJ
aiti-4286	22	19	identify	identify	VERB
aiti-4286	22	20	the	the	DET
aiti-4286	22	21	network	network	NOUN
aiti-4286	22	22	application	application	NOUN
aiti-4286	22	23	packets	packet	NOUN
aiti-4286	22	24	.	.	PUNCT
aiti-4286	23	1	these	these	DET
aiti-4286	23	2	processes	process	NOUN
aiti-4286	23	3	will	will	AUX
aiti-4286	23	4	significantly	significantly	ADV
aiti-4286	23	5	reduce	reduce	VERB
aiti-4286	23	6	the	the	DET
aiti-4286	23	7	efficiency	efficiency	NOUN
aiti-4286	23	8	of	of	ADP
aiti-4286	23	9	network	network	NOUN
aiti-4286	23	10	traffic	traffic	NOUN
aiti-4286	23	11	processing	processing	NOUN
aiti-4286	23	12	and	and	CCONJ
aiti-4286	23	13	consequently	consequently	ADV
aiti-4286	23	14	increase	increase	VERB
aiti-4286	23	15	the	the	DET
aiti-4286	23	16	overall	overall	ADJ
aiti-4286	23	17	delay	delay	NOUN
aiti-4286	23	18	and	and	CCONJ
aiti-4286	23	19	processing	processing	NOUN
aiti-4286	23	20	loading	loading	NOUN
aiti-4286	23	21	.	.	PUNCT
aiti-4286	24	1	furthermore	furthermore	ADV
aiti-4286	24	2	,	,	PUNCT
aiti-4286	24	3	the	the	DET
aiti-4286	24	4	development	development	NOUN
aiti-4286	24	5	of	of	ADP
aiti-4286	24	6	software	software	NOUN
aiti-4286	24	7	defined	define	VERB
aiti-4286	24	8	network	network	NOUN
aiti-4286	24	9	(	(	PUNCT
aiti-4286	24	10	sdn	sdn	PROPN
aiti-4286	24	11	)	)	PUNCT
aiti-4286	24	12	has	have	AUX
aiti-4286	24	13	made	make	VERB
aiti-4286	24	14	network	network	NOUN
aiti-4286	24	15	management	management	NOUN
aiti-4286	24	16	more	more	ADV
aiti-4286	24	17	effective	effective	ADJ
aiti-4286	24	18	and	and	CCONJ
aiti-4286	24	19	efficient	efficient	ADJ
aiti-4286	24	20	[	[	X
aiti-4286	24	21	1	1	NUM
aiti-4286	24	22	-	-	SYM
aiti-4286	24	23	2	2	NUM
aiti-4286	24	24	]	]	PUNCT
aiti-4286	24	25	.	.	PUNCT
aiti-4286	25	1	unlike	unlike	ADP
aiti-4286	25	2	traditional	traditional	ADJ
aiti-4286	25	3	networks	network	NOUN
aiti-4286	25	4	,	,	PUNCT
aiti-4286	25	5	sdn	sdn	PROPN
aiti-4286	25	6	separates	separate	VERB
aiti-4286	25	7	the	the	DET
aiti-4286	25	8	network	network	NOUN
aiti-4286	25	9	layer	layer	NOUN
aiti-4286	25	10	into	into	ADP
aiti-4286	25	11	a	a	DET
aiti-4286	25	12	data	data	NOUN
aiti-4286	25	13	plane	plane	NOUN
aiti-4286	25	14	and	and	CCONJ
aiti-4286	25	15	a	a	DET
aiti-4286	25	16	control	control	NOUN
aiti-4286	25	17	plane	plane	NOUN
aiti-4286	25	18	which	which	PRON
aiti-4286	25	19	could	could	AUX
aiti-4286	25	20	be	be	AUX
aiti-4286	25	21	a	a	DET
aiti-4286	25	22	logical	logical	ADJ
aiti-4286	25	23	control	control	NOUN
aiti-4286	25	24	unit	unit	NOUN
aiti-4286	25	25	and	and	CCONJ
aiti-4286	25	26	programmable	programmable	ADJ
aiti-4286	25	27	.	.	PUNCT
aiti-4286	26	1	the	the	DET
aiti-4286	26	2	flexibility	flexibility	NOUN
aiti-4286	26	3	and	and	CCONJ
aiti-4286	26	4	programmability	programmability	NOUN
aiti-4286	26	5	of	of	ADP
aiti-4286	26	6	the	the	DET
aiti-4286	26	7	sdn	sdn	NOUN
aiti-4286	26	8	architecture	architecture	NOUN
aiti-4286	26	9	design	design	NOUN
aiti-4286	26	10	make	make	VERB
aiti-4286	26	11	the	the	DET
aiti-4286	26	12	network	network	NOUN
aiti-4286	26	13	routing	routing	NOUN
aiti-4286	26	14	and	and	CCONJ
aiti-4286	26	15	management	management	NOUN
aiti-4286	26	16	easier	easy	ADJ
aiti-4286	26	17	and	and	CCONJ
aiti-4286	26	18	more	more	ADV
aiti-4286	26	19	efficient	efficient	ADJ
aiti-4286	26	20	,	,	PUNCT
aiti-4286	26	21	especially	especially	ADV
aiti-4286	26	22	for	for	ADP
aiti-4286	26	23	the	the	DET
aiti-4286	26	24	design	design	NOUN
aiti-4286	26	25	and	and	CCONJ
aiti-4286	26	26	handling	handling	NOUN
aiti-4286	26	27	of	of	ADP
aiti-4286	26	28	network	network	NOUN
aiti-4286	26	29	classification	classification	NOUN
aiti-4286	26	30	which	which	PRON
aiti-4286	26	31	enables	enable	VERB
aiti-4286	26	32	the	the	DET
aiti-4286	26	33	optimal	optimal	ADJ
aiti-4286	26	34	network	network	NOUN
aiti-4286	26	35	solutions	solution	NOUN
aiti-4286	26	36	,	,	PUNCT
aiti-4286	26	37	such	such	ADJ
aiti-4286	26	38	as	as	ADP
aiti-4286	26	39	configuration	configuration	NOUN
aiti-4286	26	40	and	and	CCONJ
aiti-4286	26	41	resource	resource	NOUN
aiti-4286	26	42	allocation	allocation	NOUN
aiti-4286	26	43	.	.	PUNCT
aiti-4286	27	1	the	the	DET
aiti-4286	27	2	centralized	centralized	ADJ
aiti-4286	27	3	sdn	sdn	NOUN
aiti-4286	27	4	controller	controller	NOUN
aiti-4286	27	5	is	be	AUX
aiti-4286	27	6	able	able	ADJ
aiti-4286	27	7	to	to	PART
aiti-4286	27	8	collect	collect	VERB
aiti-4286	27	9	various	various	ADJ
aiti-4286	27	10	real	real	ADJ
aiti-4286	27	11	-	-	PUNCT
aiti-4286	27	12	time	time	NOUN
aiti-4286	27	13	network	network	NOUN
aiti-4286	27	14	data	datum	NOUN
aiti-4286	27	15	due	due	ADP
aiti-4286	27	16	to	to	ADP
aiti-4286	27	17	its	its	PRON
aiti-4286	27	18	global	global	ADJ
aiti-4286	27	19	network	network	NOUN
aiti-4286	27	20	view	view	NOUN
aiti-4286	27	21	.	.	PUNCT
aiti-4286	28	1	the	the	DET
aiti-4286	28	2	ai	ai	PROPN
aiti-4286	28	3	techniques	technique	NOUN
aiti-4286	28	4	can	can	AUX
aiti-4286	28	5	then	then	ADV
aiti-4286	28	6	be	be	AUX
aiti-4286	28	7	applied	apply	VERB
aiti-4286	28	8	to	to	ADP
aiti-4286	28	9	the	the	DET
aiti-4286	28	10	sdn	sdn	NOUN
aiti-4286	28	11	networks	network	NOUN
aiti-4286	28	12	by	by	ADP
aiti-4286	28	13	employing	employ	VERB
aiti-4286	28	14	network	network	NOUN
aiti-4286	28	15	optimization	optimization	NOUN
aiti-4286	28	16	and	and	CCONJ
aiti-4286	28	17	data	datum	NOUN
aiti-4286	28	18	analysis	analysis	NOUN
aiti-4286	28	19	based	base	VERB
aiti-4286	28	20	on	on	ADP
aiti-4286	28	21	the	the	DET
aiti-4286	28	22	real	real	ADJ
aiti-4286	28	23	-	-	PUNCT
aiti-4286	28	24	time	time	NOUN
aiti-4286	28	25	and	and	CCONJ
aiti-4286	28	26	historical	historical	ADJ
aiti-4286	28	27	sdn	sdn	NOUN
aiti-4286	28	28	network	network	NOUN
aiti-4286	28	29	data	datum	NOUN
aiti-4286	28	30	.	.	PUNCT
aiti-4286	29	1	therefore	therefore	ADV
aiti-4286	29	2	in	in	ADP
aiti-4286	29	3	this	this	DET
aiti-4286	29	4	paper	paper	NOUN
aiti-4286	29	5	,	,	PUNCT
aiti-4286	29	6	we	we	PRON
aiti-4286	29	7	propose	propose	VERB
aiti-4286	29	8	an	an	DET
aiti-4286	29	9	application	application	NOUN
aiti-4286	29	10	-	-	PUNCT
aiti-4286	29	11	based	base	VERB
aiti-4286	29	12	online	online	ADJ
aiti-4286	29	13	and	and	CCONJ
aiti-4286	29	14	offline	offline	ADJ
aiti-4286	29	15	traffic	traffic	NOUN
aiti-4286	29	16	classification	classification	NOUN
aiti-4286	29	17	with	with	ADP
aiti-4286	29	18	deep	deep	ADJ
aiti-4286	29	19	learning	learning	NOUN
aiti-4286	29	20	models	model	NOUN
aiti-4286	29	21	on	on	ADP
aiti-4286	29	22	sdn	sdn	PROPN
aiti-4286	29	23	networks	network	NOUN
aiti-4286	29	24	.	.	PUNCT
aiti-4286	30	1	we	we	PRON
aiti-4286	30	2	design	design	VERB
aiti-4286	30	3	the	the	DET
aiti-4286	30	4	deep	deep	ADJ
aiti-4286	30	5	learning	learning	NOUN
aiti-4286	30	6	models	model	NOUN
aiti-4286	30	7	resigned	resign	VERB
aiti-4286	30	8	in	in	ADP
aiti-4286	30	9	the	the	DET
aiti-4286	30	10	sdn	sdn	NOUN
aiti-4286	30	11	controller	controller	NOUN
aiti-4286	30	12	.	.	PUNCT
aiti-4286	31	1	the	the	DET
aiti-4286	31	2	sdn	sdn	PROPN
aiti-4286	31	3	controller	controller	NOUN
aiti-4286	31	4	establishes	establish	VERB
aiti-4286	31	5	the	the	DET
aiti-4286	31	6	match	match	NOUN
aiti-4286	31	7	fields	field	NOUN
aiti-4286	31	8	of	of	ADP
aiti-4286	31	9	the	the	DET
aiti-4286	31	10	flow	flow	NOUN
aiti-4286	31	11	entry	entry	NOUN
aiti-4286	31	12	and	and	CCONJ
aiti-4286	31	13	sends	send	VERB
aiti-4286	31	14	them	they	PRON
aiti-4286	31	15	to	to	ADP
aiti-4286	31	16	the	the	DET
aiti-4286	31	17	open	open	ADJ
aiti-4286	31	18	virtual	virtual	ADJ
aiti-4286	31	19	switch	switch	NOUN
aiti-4286	31	20	(	(	PUNCT
aiti-4286	31	21	ovs	ovs	NOUN
aiti-4286	31	22	)	)	PUNCT
aiti-4286	31	23	.	.	PUNCT
aiti-4286	32	1	it	it	PRON
aiti-4286	32	2	also	also	ADV
aiti-4286	32	3	extracts	extract	VERB
aiti-4286	32	4	traffic	traffic	NOUN
aiti-4286	32	5	statistics	statistic	NOUN
aiti-4286	32	6	data	datum	NOUN
aiti-4286	32	7	from	from	ADP
aiti-4286	32	8	the	the	DET
aiti-4286	32	9	ovs	ovs	NOUN
aiti-4286	32	10	switch	switch	NOUN
aiti-4286	32	11	.	.	PUNCT
aiti-4286	33	1	the	the	DET
aiti-4286	33	2	server	server	NOUN
aiti-4286	33	3	ip	ip	NOUN
aiti-4286	33	4	addresses	address	NOUN
aiti-4286	33	5	and	and	CCONJ
aiti-4286	33	6	transport	transport	NOUN
aiti-4286	33	7	port	port	NOUN
aiti-4286	33	8	numbers	number	NOUN
aiti-4286	33	9	of	of	ADP
aiti-4286	33	10	each	each	DET
aiti-4286	33	11	flow	flow	NOUN
aiti-4286	33	12	plus	plus	CCONJ
aiti-4286	33	13	the	the	DET
aiti-4286	33	14	statistics	statistic	NOUN
aiti-4286	33	15	data	datum	NOUN
aiti-4286	33	16	are	be	AUX
aiti-4286	33	17	designed	design	VERB
aiti-4286	33	18	to	to	PART
aiti-4286	33	19	be	be	AUX
aiti-4286	33	20	the	the	DET
aiti-4286	33	21	input	input	NOUN
aiti-4286	33	22	features	feature	NOUN
aiti-4286	33	23	for	for	ADP
aiti-4286	33	24	the	the	DET
aiti-4286	33	25	deep	deep	ADJ
aiti-4286	33	26	learning	learning	NOUN
aiti-4286	33	27	models	model	NOUN
aiti-4286	33	28	.	.	PUNCT
aiti-4286	34	1	the	the	DET
aiti-4286	34	2	remaining	remain	VERB
aiti-4286	34	3	sections	section	NOUN
aiti-4286	34	4	of	of	ADP
aiti-4286	34	5	this	this	DET
aiti-4286	34	6	paper	paper	NOUN
aiti-4286	34	7	are	be	AUX
aiti-4286	34	8	organized	organize	VERB
aiti-4286	34	9	as	as	SCONJ
aiti-4286	34	10	follows	follow	VERB
aiti-4286	34	11	.	.	PUNCT
aiti-4286	35	1	we	we	PRON
aiti-4286	35	2	describe	describe	VERB
aiti-4286	35	3	the	the	DET
aiti-4286	35	4	protocols	protocol	NOUN
aiti-4286	35	5	,	,	PUNCT
aiti-4286	35	6	standards	standard	NOUN
aiti-4286	35	7	,	,	PUNCT
aiti-4286	35	8	tools	tool	NOUN
aiti-4286	35	9	,	,	PUNCT
aiti-4286	35	10	and	and	CCONJ
aiti-4286	35	11	related	related	ADJ
aiti-4286	35	12	research	research	NOUN
aiti-4286	35	13	reviews	review	NOUN
aiti-4286	35	14	in	in	ADP
aiti-4286	35	15	section	section	NOUN
aiti-4286	35	16	2	2	NUM
aiti-4286	35	17	.	.	PUNCT
aiti-4286	35	18	section	section	NOUN
aiti-4286	35	19	3	3	NUM
aiti-4286	35	20	addresses	address	NOUN
aiti-4286	35	21	the	the	DET
aiti-4286	35	22	experimental	experimental	ADJ
aiti-4286	35	23	settings	setting	NOUN
aiti-4286	35	24	and	and	CCONJ
aiti-4286	35	25	model	model	NOUN
aiti-4286	35	26	design	design	NOUN
aiti-4286	35	27	.	.	PUNCT
aiti-4286	36	1	in	in	ADP
aiti-4286	36	2	section	section	NOUN
aiti-4286	36	3	4	4	NUM
aiti-4286	36	4	,	,	PUNCT
aiti-4286	36	5	we	we	PRON
aiti-4286	36	6	present	present	VERB
aiti-4286	36	7	the	the	DET
aiti-4286	36	8	experimental	experimental	ADJ
aiti-4286	36	9	result	result	NOUN
aiti-4286	36	10	and	and	CCONJ
aiti-4286	36	11	performance	performance	NOUN
aiti-4286	36	12	analysis	analysis	NOUN
aiti-4286	36	13	in	in	ADP
aiti-4286	36	14	this	this	DET
aiti-4286	36	15	paper	paper	NOUN
aiti-4286	36	16	followed	follow	VERB
aiti-4286	36	17	by	by	ADP
aiti-4286	36	18	the	the	DET
aiti-4286	36	19	conclusion	conclusion	NOUN
aiti-4286	36	20	and	and	CCONJ
aiti-4286	36	21	future	future	ADJ
aiti-4286	36	22	works	work	NOUN
aiti-4286	36	23	in	in	ADP
aiti-4286	36	24	section	section	NOUN
aiti-4286	36	25	5	5	NUM
aiti-4286	36	26	.	.	NOUN
aiti-4286	36	27	2	2	NUM
aiti-4286	36	28	.	.	X
aiti-4286	36	29	related	relate	VERB
aiti-4286	36	30	work	work	NOUN
aiti-4286	36	31	we	we	PRON
aiti-4286	36	32	first	first	ADV
aiti-4286	36	33	review	review	VERB
aiti-4286	36	34	some	some	DET
aiti-4286	36	35	protocols	protocol	NOUN
aiti-4286	36	36	,	,	PUNCT
aiti-4286	36	37	standards	standard	NOUN
aiti-4286	36	38	as	as	ADV
aiti-4286	36	39	well	well	ADV
aiti-4286	36	40	as	as	ADP
aiti-4286	36	41	related	related	ADJ
aiti-4286	36	42	tools	tool	NOUN
aiti-4286	36	43	used	use	VERB
aiti-4286	36	44	in	in	ADP
aiti-4286	36	45	this	this	DET
aiti-4286	36	46	paper	paper	NOUN
aiti-4286	36	47	.	.	PUNCT
aiti-4286	37	1	we	we	PRON
aiti-4286	37	2	also	also	ADV
aiti-4286	37	3	survey	survey	VERB
aiti-4286	37	4	some	some	DET
aiti-4286	37	5	literature	literature	NOUN
aiti-4286	37	6	related	relate	VERB
aiti-4286	37	7	to	to	ADP
aiti-4286	37	8	this	this	DET
aiti-4286	37	9	research	research	NOUN
aiti-4286	37	10	.	.	PUNCT
aiti-4286	38	1	the	the	DET
aiti-4286	38	2	following	follow	VERB
aiti-4286	38	3	subsections	subsection	NOUN
aiti-4286	38	4	will	will	AUX
aiti-4286	38	5	address	address	VERB
aiti-4286	38	6	the	the	DET
aiti-4286	38	7	brief	brief	ADJ
aiti-4286	38	8	discussion	discussion	NOUN
aiti-4286	38	9	of	of	ADP
aiti-4286	38	10	each	each	DET
aiti-4286	38	11	subject	subject	NOUN
aiti-4286	38	12	.	.	PUNCT
aiti-4286	39	1	2.1	2.1	NUM
aiti-4286	39	2	.	.	PUNCT
aiti-4286	40	1	deep	deep	ADJ
aiti-4286	40	2	learning	learning	NOUN
aiti-4286	40	3	review	review	NOUN
aiti-4286	40	4	dl	dl	PROPN
aiti-4286	41	1	[	[	X
aiti-4286	41	2	3	3	NUM
aiti-4286	41	3	]	]	PUNCT
aiti-4286	41	4	,	,	PUNCT
aiti-4286	41	5	rather	rather	ADV
aiti-4286	41	6	than	than	ADP
aiti-4286	41	7	a	a	DET
aiti-4286	41	8	task	task	NOUN
aiti-4286	41	9	-	-	PUNCT
aiti-4286	41	10	specific	specific	ADJ
aiti-4286	41	11	algorithm	algorithm	NOUN
aiti-4286	41	12	in	in	ADP
aiti-4286	41	13	the	the	DET
aiti-4286	41	14	ml	ml	PROPN
aiti-4286	41	15	series	series	NOUN
aiti-4286	41	16	,	,	PUNCT
aiti-4286	41	17	is	be	AUX
aiti-4286	41	18	a	a	DET
aiti-4286	41	19	broader	broad	ADJ
aiti-4286	41	20	representation	representation	NOUN
aiti-4286	41	21	of	of	ADP
aiti-4286	41	22	learning	learn	VERB
aiti-4286	41	23	data	datum	NOUN
aiti-4286	41	24	.	.	PUNCT
aiti-4286	42	1	the	the	DET
aiti-4286	42	2	dl	dl	PROPN
aiti-4286	42	3	aspect	aspect	NOUN
aiti-4286	42	4	includes	include	VERB
aiti-4286	42	5	supervised	supervise	VERB
aiti-4286	42	6	,	,	PUNCT
aiti-4286	42	7	semi	semi	ADJ
aiti-4286	42	8	-	-	ADJ
aiti-4286	42	9	supervised	supervised	ADJ
aiti-4286	42	10	,	,	PUNCT
aiti-4286	42	11	or	or	CCONJ
aiti-4286	42	12	unsupervised	unsupervised	ADJ
aiti-4286	42	13	learning	learning	NOUN
aiti-4286	42	14	.	.	PUNCT
aiti-4286	43	1	dl	dl	PROPN
aiti-4286	43	2	can	can	AUX
aiti-4286	43	3	be	be	AUX
aiti-4286	43	4	applied	apply	VERB
aiti-4286	43	5	for	for	ADP
aiti-4286	43	6	classification	classification	NOUN
aiti-4286	43	7	,	,	PUNCT
aiti-4286	43	8	clustering	clustering	NOUN
aiti-4286	43	9	,	,	PUNCT
aiti-4286	43	10	and	and	CCONJ
aiti-4286	43	11	regression	regression	NOUN
aiti-4286	43	12	.	.	PUNCT
aiti-4286	44	1	with	with	ADP
aiti-4286	44	2	classification	classification	NOUN
aiti-4286	44	3	,	,	PUNCT
aiti-4286	44	4	dl	dl	PROPN
aiti-4286	44	5	is	be	AUX
aiti-4286	44	6	able	able	ADJ
aiti-4286	44	7	to	to	PART
aiti-4286	44	8	learn	learn	VERB
aiti-4286	44	9	the	the	DET
aiti-4286	44	10	correlation	correlation	NOUN
aiti-4286	44	11	between	between	ADP
aiti-4286	44	12	data	datum	NOUN
aiti-4286	44	13	and	and	CCONJ
aiti-4286	44	14	labels	label	NOUN
aiti-4286	44	15	,	,	PUNCT
aiti-4286	44	16	which	which	PRON
aiti-4286	44	17	is	be	AUX
aiti-4286	44	18	known	know	VERB
aiti-4286	44	19	as	as	ADP
aiti-4286	44	20	supervised	supervised	ADJ
aiti-4286	44	21	learning	learning	NOUN
aiti-4286	44	22	.	.	PUNCT
aiti-4286	45	1	for	for	ADP
aiti-4286	45	2	some	some	DET
aiti-4286	45	3	applications	application	NOUN
aiti-4286	45	4	,	,	PUNCT
aiti-4286	45	5	it	it	PRON
aiti-4286	45	6	is	be	AUX
aiti-4286	45	7	not	not	PART
aiti-4286	45	8	required	require	VERB
aiti-4286	45	9	or	or	CCONJ
aiti-4286	45	10	unable	unable	ADJ
aiti-4286	45	11	to	to	PART
aiti-4286	45	12	know	know	VERB
aiti-4286	45	13	the	the	DET
aiti-4286	45	14	labels	label	NOUN
aiti-4286	45	15	of	of	ADP
aiti-4286	45	16	the	the	DET
aiti-4286	45	17	data	datum	NOUN
aiti-4286	45	18	in	in	ADP
aiti-4286	45	19	advance	advance	NOUN
aiti-4286	45	20	.	.	PUNCT
aiti-4286	46	1	learning	learn	VERB
aiti-4286	46	2	without	without	ADP
aiti-4286	46	3	labels	label	NOUN
aiti-4286	46	4	is	be	AUX
aiti-4286	46	5	called	call	VERB
aiti-4286	46	6	unsupervised	unsupervised	ADJ
aiti-4286	46	7	learning	learning	NOUN
aiti-4286	46	8	.	.	PUNCT
aiti-4286	47	1	with	with	ADP
aiti-4286	47	2	clustering	clustering	NOUN
aiti-4286	47	3	,	,	PUNCT
aiti-4286	47	4	dl	dl	PROPN
aiti-4286	47	5	does	do	AUX
aiti-4286	47	6	not	not	PART
aiti-4286	47	7	require	require	VERB
aiti-4286	47	8	labels	label	NOUN
aiti-4286	47	9	to	to	PART
aiti-4286	47	10	detect	detect	VERB
aiti-4286	47	11	similarities	similarity	NOUN
aiti-4286	47	12	among	among	ADP
aiti-4286	47	13	groups	group	NOUN
aiti-4286	47	14	of	of	ADP
aiti-4286	47	15	data	datum	NOUN
aiti-4286	47	16	.	.	PUNCT
aiti-4286	48	1	with	with	ADP
aiti-4286	48	2	regression	regression	NOUN
aiti-4286	48	3	,	,	PUNCT
aiti-4286	48	4	the	the	DET
aiti-4286	48	5	dl	dl	PROPN
aiti-4286	48	6	is	be	AUX
aiti-4286	48	7	exposed	expose	VERB
aiti-4286	48	8	to	to	ADP
aiti-4286	48	9	enough	enough	ADJ
aiti-4286	48	10	of	of	ADP
aiti-4286	48	11	the	the	DET
aiti-4286	48	12	right	right	ADJ
aiti-4286	48	13	data	datum	NOUN
aiti-4286	48	14	.	.	PUNCT
aiti-4286	49	1	it	it	PRON
aiti-4286	49	2	is	be	AUX
aiti-4286	49	3	able	able	ADJ
aiti-4286	49	4	to	to	PART
aiti-4286	49	5	establish	establish	VERB
aiti-4286	49	6	correlations	correlation	NOUN
aiti-4286	49	7	between	between	ADP
aiti-4286	49	8	present	present	ADJ
aiti-4286	49	9	events	event	NOUN
aiti-4286	49	10	and	and	CCONJ
aiti-4286	49	11	future	future	ADJ
aiti-4286	49	12	events	event	NOUN
aiti-4286	49	13	.	.	PUNCT
aiti-4286	50	1	this	this	DET
aiti-4286	50	2	predictive	predictive	ADJ
aiti-4286	50	3	analytics	analytic	NOUN
aiti-4286	50	4	is	be	AUX
aiti-4286	50	5	different	different	ADJ
aiti-4286	50	6	from	from	ADP
aiti-4286	50	7	the	the	DET
aiti-4286	50	8	classification	classification	NOUN
aiti-4286	50	9	which	which	PRON
aiti-4286	50	10	might	might	AUX
aiti-4286	50	11	be	be	AUX
aiti-4286	50	12	called	call	VERB
aiti-4286	50	13	a	a	DET
aiti-4286	50	14	static	static	ADJ
aiti-4286	50	15	prediction	prediction	NOUN
aiti-4286	50	16	.	.	PUNCT
aiti-4286	51	1	given	give	VERB
aiti-4286	51	2	a	a	DET
aiti-4286	51	3	time	time	NOUN
aiti-4286	51	4	series	series	NOUN
aiti-4286	51	5	,	,	PUNCT
aiti-4286	51	6	dl	dl	PROPN
aiti-4286	51	7	can	can	AUX
aiti-4286	51	8	run	run	VERB
aiti-4286	51	9	regression	regression	NOUN
aiti-4286	51	10	by	by	ADP
aiti-4286	51	11	reading	read	VERB
aiti-4286	51	12	lots	lot	NOUN
aiti-4286	51	13	of	of	ADP
aiti-4286	51	14	data	datum	NOUN
aiti-4286	51	15	from	from	ADP
aiti-4286	51	16	the	the	DET
aiti-4286	51	17	past	past	NOUN
aiti-4286	51	18	and	and	CCONJ
aiti-4286	51	19	predict	predict	VERB
aiti-4286	51	20	some	some	DET
aiti-4286	51	21	data	datum	NOUN
aiti-4286	51	22	likely	likely	ADJ
aiti-4286	51	23	to	to	PART
aiti-4286	51	24	occur	occur	VERB
aiti-4286	51	25	in	in	ADP
aiti-4286	51	26	the	the	DET
aiti-4286	51	27	future	future	NOUN
aiti-4286	51	28	.	.	PUNCT
aiti-4286	52	1	dl	dl	PROPN
aiti-4286	52	2	architectures	architecture	NOUN
aiti-4286	52	3	,	,	PUNCT
aiti-4286	52	4	including	include	VERB
aiti-4286	52	5	convolutional	convolutional	ADJ
aiti-4286	52	6	neural	neural	ADJ
aiti-4286	52	7	network	network	NOUN
aiti-4286	52	8	(	(	PUNCT
aiti-4286	52	9	cnn	cnn	PROPN
aiti-4286	52	10	)	)	PUNCT
aiti-4286	52	11	,	,	PUNCT
aiti-4286	52	12	deep	deep	ADJ
aiti-4286	52	13	neural	neural	ADJ
aiti-4286	52	14	networks	network	NOUN
aiti-4286	52	15	(	(	PUNCT
aiti-4286	52	16	dnns	dnn	NOUN
aiti-4286	52	17	)	)	PUNCT
aiti-4286	52	18	and	and	CCONJ
aiti-4286	52	19	recurrent	recurrent	ADJ
aiti-4286	52	20	neural	neural	ADJ
aiti-4286	52	21	network	network	NOUN
aiti-4286	52	22	(	(	PUNCT
aiti-4286	52	23	rnn	rnn	PROPN
aiti-4286	52	24	)	)	PUNCT
aiti-4286	52	25	,	,	PUNCT
aiti-4286	52	26	multilayer	multilayer	PROPN
aiti-4286	52	27	perceptron	perceptron	PROPN
aiti-4286	52	28	(	(	PUNCT
aiti-4286	52	29	mlp	mlp	PROPN
aiti-4286	52	30	)	)	PUNCT
aiti-4286	52	31	,	,	PUNCT
aiti-4286	52	32	long	long	ADJ
aiti-4286	52	33	short	short	ADJ
aiti-4286	52	34	-	-	PUNCT
aiti-4286	52	35	term	term	NOUN
aiti-4286	52	36	memory	memory	NOUN
aiti-4286	52	37	(	(	PUNCT
aiti-4286	52	38	lstm	lstm	NOUN
aiti-4286	52	39	)	)	PUNCT
aiti-4286	52	40	,	,	PUNCT
aiti-4286	52	41	and	and	CCONJ
aiti-4286	52	42	stacked	stack	VERB
aiti-4286	52	43	auto	auto	NOUN
aiti-4286	52	44	-	-	PUNCT
aiti-4286	52	45	encoder	encoder	NOUN
aiti-4286	52	46	(	(	PUNCT
aiti-4286	52	47	sae	sae	PROPN
aiti-4286	52	48	)	)	PUNCT
aiti-4286	52	49	,	,	PUNCT
aiti-4286	52	50	have	have	AUX
aiti-4286	52	51	been	be	AUX
aiti-4286	52	52	applied	apply	VERB
aiti-4286	52	53	to	to	ADP
aiti-4286	52	54	different	different	ADJ
aiti-4286	52	55	fields	field	NOUN
aiti-4286	52	56	such	such	ADJ
aiti-4286	52	57	as	as	ADP
aiti-4286	52	58	computer	computer	NOUN
aiti-4286	52	59	vision	vision	NOUN
aiti-4286	52	60	,	,	PUNCT
aiti-4286	52	61	audio	audio	ADJ
aiti-4286	52	62	recognition	recognition	NOUN
aiti-4286	52	63	and	and	CCONJ
aiti-4286	52	64	natural	natural	ADJ
aiti-4286	52	65	language	language	NOUN
aiti-4286	52	66	processing	processing	NOUN
aiti-4286	52	67	,	,	PUNCT
aiti-4286	52	68	etc	etc	X
aiti-4286	52	69	.	.	X
aiti-4286	53	1	some	some	PRON
aiti-4286	53	2	of	of	ADP
aiti-4286	53	3	dl	dl	PROPN
aiti-4286	53	4	models	model	NOUN
aiti-4286	53	5	or	or	CCONJ
aiti-4286	53	6	implementations	implementation	NOUN
aiti-4286	53	7	have	have	AUX
aiti-4286	53	8	achieved	achieve	VERB
aiti-4286	53	9	comparable	comparable	ADJ
aiti-4286	53	10	or	or	CCONJ
aiti-4286	53	11	even	even	ADV
aiti-4286	53	12	superior	superior	ADJ
aiti-4286	53	13	results	result	NOUN
aiti-4286	53	14	as	as	SCONJ
aiti-4286	53	15	compared	compare	VERB
aiti-4286	53	16	to	to	ADP
aiti-4286	53	17	human	human	ADJ
aiti-4286	53	18	experts	expert	NOUN
aiti-4286	53	19	.	.	PUNCT
aiti-4286	54	1	advances	advance	NOUN
aiti-4286	54	2	in	in	ADP
aiti-4286	54	3	technology	technology	NOUN
aiti-4286	54	4	innovation	innovation	NOUN
aiti-4286	54	5	,	,	PUNCT
aiti-4286	54	6	vol	vol	NOUN
aiti-4286	54	7	.	.	PROPN
aiti-4286	54	8	5	5	NUM
aiti-4286	54	9	,	,	PUNCT
aiti-4286	54	10	no	no	INTJ
aiti-4286	54	11	.	.	NOUN
aiti-4286	54	12	4	4	NUM
aiti-4286	54	13	,	,	PUNCT
aiti-4286	54	14	2020	2020	NUM
aiti-4286	54	15	,	,	PUNCT
aiti-4286	54	16	pp	pp	ADV
aiti-4286	54	17	.	.	PUNCT
aiti-4286	55	1	216	216	NUM
aiti-4286	55	2	-	-	SYM
aiti-4286	55	3	229	229	NUM
aiti-4286	55	4	218	218	NUM
aiti-4286	55	5	in	in	ADP
aiti-4286	55	6	this	this	DET
aiti-4286	55	7	paper	paper	NOUN
aiti-4286	55	8	,	,	PUNCT
aiti-4286	55	9	we	we	PRON
aiti-4286	55	10	apply	apply	VERB
aiti-4286	55	11	the	the	DET
aiti-4286	55	12	tensorflow	tensorflow	NOUN
aiti-4286	55	13	[	[	X
aiti-4286	55	14	4	4	NUM
aiti-4286	55	15	]	]	X
aiti-4286	55	16	neural	neural	ADJ
aiti-4286	55	17	network	network	NOUN
aiti-4286	55	18	modules	module	NOUN
aiti-4286	55	19	as	as	ADP
aiti-4286	55	20	the	the	DET
aiti-4286	55	21	dl	dl	PROPN
aiti-4286	55	22	platform	platform	NOUN
aiti-4286	55	23	for	for	ADP
aiti-4286	55	24	our	our	PRON
aiti-4286	55	25	application	application	NOUN
aiti-4286	55	26	-	-	PUNCT
aiti-4286	55	27	based	base	VERB
aiti-4286	55	28	online	online	ADJ
aiti-4286	55	29	traffic	traffic	NOUN
aiti-4286	55	30	classification	classification	NOUN
aiti-4286	55	31	.	.	PUNCT
aiti-4286	56	1	the	the	DET
aiti-4286	56	2	major	major	ADJ
aiti-4286	56	3	programming	programming	NOUN
aiti-4286	56	4	language	language	NOUN
aiti-4286	56	5	and	and	CCONJ
aiti-4286	56	6	development	development	NOUN
aiti-4286	56	7	of	of	ADP
aiti-4286	56	8	tensorflow	tensorflow	NOUN
aiti-4286	56	9	is	be	AUX
aiti-4286	56	10	python	python	PROPN
aiti-4286	56	11	.	.	PUNCT
aiti-4286	57	1	tensorflow	tensorflow	NOUN
aiti-4286	57	2	supports	support	VERB
aiti-4286	57	3	application	application	NOUN
aiti-4286	57	4	programming	programming	NOUN
aiti-4286	57	5	interfaces	interface	NOUN
aiti-4286	57	6	(	(	PUNCT
aiti-4286	57	7	apis	apis	PROPN
aiti-4286	57	8	)	)	PUNCT
aiti-4286	57	9	such	such	ADJ
aiti-4286	57	10	as	as	ADP
aiti-4286	57	11	keras	keras	PROPN
aiti-4286	57	12	[	[	X
aiti-4286	57	13	5	5	NUM
aiti-4286	57	14	]	]	PUNCT
aiti-4286	57	15	,	,	PUNCT
aiti-4286	57	16	with	with	ADP
aiti-4286	57	17	the	the	DET
aiti-4286	57	18	advantage	advantage	NOUN
aiti-4286	57	19	of	of	ADP
aiti-4286	57	20	easy	easy	ADJ
aiti-4286	57	21	operation	operation	NOUN
aiti-4286	57	22	,	,	PUNCT
aiti-4286	57	23	modular	modular	ADJ
aiti-4286	57	24	design	design	NOUN
aiti-4286	57	25	,	,	PUNCT
aiti-4286	57	26	and	and	CCONJ
aiti-4286	57	27	flexible	flexible	ADJ
aiti-4286	57	28	scalability	scalability	NOUN
aiti-4286	57	29	,	,	PUNCT
aiti-4286	57	30	as	as	ADP
aiti-4286	57	31	the	the	DET
aiti-4286	57	32	high	high	ADJ
aiti-4286	57	33	-	-	PUNCT
aiti-4286	57	34	level	level	NOUN
aiti-4286	57	35	development	development	NOUN
aiti-4286	57	36	interface	interface	NOUN
aiti-4286	57	37	.	.	PUNCT
aiti-4286	58	1	keras	keras	PROPN
aiti-4286	58	2	,	,	PUNCT
aiti-4286	58	3	working	work	VERB
aiti-4286	58	4	in	in	ADP
aiti-4286	58	5	conjunction	conjunction	NOUN
aiti-4286	58	6	with	with	ADP
aiti-4286	58	7	the	the	DET
aiti-4286	58	8	back	back	ADJ
aiti-4286	58	9	-	-	PUNCT
aiti-4286	58	10	end	end	NOUN
aiti-4286	58	11	tensorflow	tensorflow	NOUN
aiti-4286	58	12	engine	engine	NOUN
aiti-4286	58	13	,	,	PUNCT
aiti-4286	58	14	provides	provide	VERB
aiti-4286	58	15	functional	functional	ADJ
aiti-4286	58	16	apis	apis	NOUN
aiti-4286	58	17	for	for	ADP
aiti-4286	58	18	building	building	NOUN
aiti-4286	58	19	models	model	NOUN
aiti-4286	58	20	,	,	PUNCT
aiti-4286	58	21	training	training	NOUN
aiti-4286	58	22	models	model	NOUN
aiti-4286	58	23	,	,	PUNCT
aiti-4286	58	24	evaluating	evaluating	NOUN
aiti-4286	58	25	models	model	NOUN
aiti-4286	58	26	,	,	PUNCT
aiti-4286	58	27	as	as	ADV
aiti-4286	58	28	well	well	ADV
aiti-4286	58	29	as	as	ADP
aiti-4286	58	30	predicting	predict	VERB
aiti-4286	58	31	results	result	NOUN
aiti-4286	58	32	.	.	PUNCT
aiti-4286	59	1	2.2	2.2	NUM
aiti-4286	59	2	.	.	PUNCT
aiti-4286	59	3	openflow	openflow	PROPN
aiti-4286	59	4	protocol	protocol	PROPN
aiti-4286	59	5	openflow	openflow	NOUN
aiti-4286	59	6	[	[	X
aiti-4286	59	7	6	6	NUM
aiti-4286	59	8	]	]	PUNCT
aiti-4286	59	9	is	be	AUX
aiti-4286	59	10	one	one	NUM
aiti-4286	59	11	of	of	ADP
aiti-4286	59	12	the	the	DET
aiti-4286	59	13	most	most	ADV
aiti-4286	59	14	dominated	dominate	VERB
aiti-4286	59	15	sdn	sdn	NOUN
aiti-4286	59	16	communication	communication	NOUN
aiti-4286	59	17	protocols	protocol	NOUN
aiti-4286	59	18	.	.	PUNCT
aiti-4286	60	1	by	by	ADP
aiti-4286	60	2	using	use	VERB
aiti-4286	60	3	the	the	DET
aiti-4286	60	4	software	software	NOUN
aiti-4286	60	5	programming	programming	NOUN
aiti-4286	60	6	,	,	PUNCT
aiti-4286	60	7	openflow	openflow	NOUN
aiti-4286	60	8	supports	support	VERB
aiti-4286	60	9	the	the	DET
aiti-4286	60	10	control	control	NOUN
aiti-4286	60	11	and	and	CCONJ
aiti-4286	60	12	communication	communication	NOUN
aiti-4286	60	13	of	of	ADP
aiti-4286	60	14	the	the	DET
aiti-4286	60	15	rules	rule	NOUN
aiti-4286	60	16	signaling	signal	VERB
aiti-4286	60	17	and	and	CCONJ
aiti-4286	60	18	flows	flow	VERB
aiti-4286	60	19	forwarding	forward	VERB
aiti-4286	60	20	from	from	ADP
aiti-4286	60	21	the	the	DET
aiti-4286	60	22	centralized	centralized	ADJ
aiti-4286	60	23	controller	controller	NOUN
aiti-4286	60	24	southbound	southbound	NOUN
aiti-4286	60	25	to	to	ADP
aiti-4286	60	26	the	the	DET
aiti-4286	60	27	sdn	sdn	NOUN
aiti-4286	60	28	switch	switch	NOUN
aiti-4286	60	29	.	.	PUNCT
aiti-4286	61	1	the	the	DET
aiti-4286	61	2	northbound	northbound	NOUN
aiti-4286	61	3	apis	apis	ADJ
aiti-4286	61	4	from	from	ADP
aiti-4286	61	5	the	the	DET
aiti-4286	61	6	control	control	NOUN
aiti-4286	61	7	plan	plan	NOUN
aiti-4286	61	8	to	to	ADP
aiti-4286	61	9	the	the	DET
aiti-4286	61	10	management	management	NOUN
aiti-4286	61	11	plan	plan	NOUN
aiti-4286	61	12	,	,	PUNCT
aiti-4286	61	13	on	on	ADP
aiti-4286	61	14	the	the	DET
aiti-4286	61	15	other	other	ADJ
aiti-4286	61	16	hand	hand	NOUN
aiti-4286	61	17	,	,	PUNCT
aiti-4286	61	18	is	be	AUX
aiti-4286	61	19	defined	define	VERB
aiti-4286	61	20	to	to	PART
aiti-4286	61	21	be	be	AUX
aiti-4286	61	22	used	use	VERB
aiti-4286	61	23	for	for	ADP
aiti-4286	61	24	application	application	NOUN
aiti-4286	61	25	service	service	NOUN
aiti-4286	61	26	and	and	CCONJ
aiti-4286	61	27	operation	operation	NOUN
aiti-4286	61	28	management	management	NOUN
aiti-4286	61	29	.	.	PUNCT
aiti-4286	62	1	several	several	ADJ
aiti-4286	62	2	consoles	console	NOUN
aiti-4286	62	3	,	,	PUNCT
aiti-4286	62	4	such	such	ADJ
aiti-4286	62	5	as	as	ADP
aiti-4286	62	6	ryu	ryu	PROPN
aiti-4286	62	7	[	[	X
aiti-4286	62	8	7	7	NUM
aiti-4286	62	9	]	]	PUNCT
aiti-4286	62	10	,	,	PUNCT
aiti-4286	62	11	floodlight	floodlight	NOUN
aiti-4286	62	12	,	,	PUNCT
aiti-4286	62	13	and	and	CCONJ
aiti-4286	62	14	opendaylight	opendaylight	NOUN
aiti-4286	62	15	,	,	PUNCT
aiti-4286	62	16	have	have	AUX
aiti-4286	62	17	been	be	AUX
aiti-4286	62	18	developed	develop	VERB
aiti-4286	62	19	to	to	PART
aiti-4286	62	20	support	support	VERB
aiti-4286	62	21	openflow	openflow	ADJ
aiti-4286	62	22	.	.	PUNCT
aiti-4286	63	1	we	we	PRON
aiti-4286	63	2	apply	apply	VERB
aiti-4286	63	3	the	the	DET
aiti-4286	63	4	ryu	ryu	PROPN
aiti-4286	63	5	controller	controller	NOUN
aiti-4286	63	6	which	which	PRON
aiti-4286	63	7	supports	support	VERB
aiti-4286	63	8	openflow	openflow	NOUN
aiti-4286	63	9	up	up	ADP
aiti-4286	63	10	to	to	ADP
aiti-4286	63	11	versions	version	NOUN
aiti-4286	63	12	1.5	1.5	NUM
aiti-4286	63	13	to	to	PART
aiti-4286	63	14	define	define	VERB
aiti-4286	63	15	the	the	DET
aiti-4286	63	16	framework	framework	NOUN
aiti-4286	63	17	of	of	ADP
aiti-4286	63	18	the	the	DET
aiti-4286	63	19	sdn	sdn	NOUN
aiti-4286	63	20	networks	network	NOUN
aiti-4286	63	21	in	in	ADP
aiti-4286	63	22	this	this	DET
aiti-4286	63	23	research	research	NOUN
aiti-4286	63	24	.	.	PUNCT
aiti-4286	64	1	ryu	ryu	ADJ
aiti-4286	64	2	,	,	PUNCT
aiti-4286	64	3	being	be	AUX
aiti-4286	64	4	a	a	DET
aiti-4286	64	5	component	component	NOUN
aiti-4286	64	6	-	-	PUNCT
aiti-4286	64	7	based	base	VERB
aiti-4286	64	8	sdn	sdn	NOUN
aiti-4286	64	9	framework	framework	NOUN
aiti-4286	64	10	,	,	PUNCT
aiti-4286	64	11	provides	provide	VERB
aiti-4286	64	12	software	software	NOUN
aiti-4286	64	13	components	component	NOUN
aiti-4286	64	14	with	with	ADP
aiti-4286	64	15	well	well	ADV
aiti-4286	64	16	-	-	PUNCT
aiti-4286	64	17	defined	define	VERB
aiti-4286	64	18	api	api	NOUN
aiti-4286	64	19	,	,	PUNCT
aiti-4286	64	20	which	which	PRON
aiti-4286	64	21	is	be	AUX
aiti-4286	64	22	easy	easy	ADJ
aiti-4286	64	23	for	for	SCONJ
aiti-4286	64	24	developers	developer	NOUN
aiti-4286	64	25	to	to	PART
aiti-4286	64	26	create	create	VERB
aiti-4286	64	27	new	new	ADJ
aiti-4286	64	28	control	control	NOUN
aiti-4286	64	29	applications	application	NOUN
aiti-4286	64	30	and	and	CCONJ
aiti-4286	64	31	network	network	NOUN
aiti-4286	64	32	management	management	NOUN
aiti-4286	64	33	.	.	PUNCT
aiti-4286	65	1	it	it	PRON
aiti-4286	65	2	also	also	ADV
aiti-4286	65	3	supports	support	VERB
aiti-4286	65	4	various	various	ADJ
aiti-4286	65	5	communication	communication	NOUN
aiti-4286	65	6	protocols	protocol	NOUN
aiti-4286	65	7	for	for	ADP
aiti-4286	65	8	network	network	NOUN
aiti-4286	65	9	devices	device	NOUN
aiti-4286	65	10	management	management	NOUN
aiti-4286	65	11	,	,	PUNCT
aiti-4286	65	12	such	such	ADJ
aiti-4286	65	13	as	as	ADP
aiti-4286	65	14	openflow	openflow	NOUN
aiti-4286	65	15	and	and	CCONJ
aiti-4286	65	16	of	of	ADP
aiti-4286	65	17	-	-	PUNCT
aiti-4286	65	18	config	config	NOUN
aiti-4286	65	19	.	.	PUNCT
aiti-4286	66	1	2.3	2.3	NUM
aiti-4286	66	2	.	.	PUNCT
aiti-4286	67	1	tcpreplay	tcpreplay	NOUN
aiti-4286	67	2	tools	tool	NOUN
aiti-4286	67	3	tcpreplay	tcpreplay	NOUN
aiti-4286	67	4	[	[	X
aiti-4286	67	5	8	8	NUM
aiti-4286	67	6	]	]	PUNCT
aiti-4286	67	7	,	,	PUNCT
aiti-4286	67	8	an	an	DET
aiti-4286	67	9	open	open	ADJ
aiti-4286	67	10	-	-	PUNCT
aiti-4286	67	11	source	source	NOUN
aiti-4286	67	12	utility	utility	NOUN
aiti-4286	67	13	,	,	PUNCT
aiti-4286	67	14	is	be	AUX
aiti-4286	67	15	used	use	VERB
aiti-4286	67	16	to	to	PART
aiti-4286	67	17	edit	edit	VERB
aiti-4286	67	18	and	and	CCONJ
aiti-4286	67	19	replay	replay	VERB
aiti-4286	67	20	captured	capture	VERB
aiti-4286	67	21	network	network	NOUN
aiti-4286	67	22	packets	packet	NOUN
aiti-4286	67	23	.	.	PUNCT
aiti-4286	68	1	it	it	PRON
aiti-4286	68	2	has	have	AUX
aiti-4286	68	3	been	be	AUX
aiti-4286	68	4	used	use	VERB
aiti-4286	68	5	primarily	primarily	ADV
aiti-4286	68	6	to	to	PART
aiti-4286	68	7	replay	replay	VERB
aiti-4286	68	8	malicious	malicious	ADJ
aiti-4286	68	9	traffic	traffic	NOUN
aiti-4286	68	10	patterns	pattern	NOUN
aiti-4286	68	11	for	for	ADP
aiti-4286	68	12	network	network	NOUN
aiti-4286	68	13	intrusion	intrusion	NOUN
aiti-4286	68	14	detection	detection	NOUN
aiti-4286	68	15	.	.	PUNCT
aiti-4286	69	1	we	we	PRON
aiti-4286	69	2	apply	apply	VERB
aiti-4286	69	3	tcpreplay	tcpreplay	NOUN
aiti-4286	69	4	to	to	PART
aiti-4286	69	5	replay	replay	VERB
aiti-4286	69	6	the	the	DET
aiti-4286	69	7	network	network	NOUN
aiti-4286	69	8	traffics	traffic	NOUN
aiti-4286	69	9	of	of	ADP
aiti-4286	69	10	the	the	DET
aiti-4286	69	11	real	real	ADJ
aiti-4286	69	12	-	-	PUNCT
aiti-4286	69	13	world	world	NOUN
aiti-4286	69	14	dataset	dataset	NOUN
aiti-4286	69	15	and	and	CCONJ
aiti-4286	69	16	inject	inject	VERB
aiti-4286	69	17	them	they	PRON
aiti-4286	69	18	into	into	ADP
aiti-4286	69	19	the	the	DET
aiti-4286	69	20	sdn	sdn	PROPN
aiti-4286	69	21	network	network	NOUN
aiti-4286	69	22	environment	environment	NOUN
aiti-4286	69	23	in	in	ADP
aiti-4286	69	24	this	this	DET
aiti-4286	69	25	research	research	NOUN
aiti-4286	69	26	.	.	PUNCT
aiti-4286	70	1	2.4	2.4	NUM
aiti-4286	70	2	.	.	PUNCT
aiti-4286	70	3	iscx	iscx	NOUN
aiti-4286	70	4	dataset	dataset	VERB
aiti-4286	70	5	the	the	DET
aiti-4286	70	6	iscx	iscx	NOUN
aiti-4286	70	7	[	[	X
aiti-4286	70	8	9	9	NUM
aiti-4286	70	9	]	]	X
aiti-4286	70	10	dataset	dataset	NOUN
aiti-4286	70	11	,	,	PUNCT
aiti-4286	70	12	collected	collect	VERB
aiti-4286	70	13	by	by	ADP
aiti-4286	70	14	the	the	DET
aiti-4286	70	15	canadian	canadian	PROPN
aiti-4286	70	16	cyber	cyber	PROPN
aiti-4286	70	17	security	security	PROPN
aiti-4286	70	18	institute	institute	PROPN
aiti-4286	70	19	,	,	PUNCT
aiti-4286	70	20	is	be	AUX
aiti-4286	70	21	a	a	DET
aiti-4286	70	22	network	network	NOUN
aiti-4286	70	23	traffic	traffic	NOUN
aiti-4286	70	24	dataset	dataset	NOUN
aiti-4286	70	25	used	use	VERB
aiti-4286	70	26	by	by	ADP
aiti-4286	70	27	many	many	ADJ
aiti-4286	70	28	universities	university	NOUN
aiti-4286	70	29	,	,	PUNCT
aiti-4286	70	30	companies	company	NOUN
aiti-4286	70	31	,	,	PUNCT
aiti-4286	70	32	and	and	CCONJ
aiti-4286	70	33	independent	independent	ADJ
aiti-4286	70	34	researchers	researcher	NOUN
aiti-4286	70	35	around	around	ADP
aiti-4286	70	36	the	the	DET
aiti-4286	70	37	world	world	NOUN
aiti-4286	70	38	.	.	PUNCT
aiti-4286	71	1	in	in	ADP
aiti-4286	71	2	this	this	DET
aiti-4286	71	3	paper	paper	NOUN
aiti-4286	71	4	,	,	PUNCT
aiti-4286	71	5	we	we	PRON
aiti-4286	71	6	apply	apply	VERB
aiti-4286	71	7	the	the	DET
aiti-4286	71	8	iscx	iscx	NOUN
aiti-4286	71	9	dataset	dataset	VERB
aiti-4286	71	10	as	as	ADP
aiti-4286	71	11	our	our	PRON
aiti-4286	71	12	training	training	NOUN
aiti-4286	71	13	dataset	dataset	NOUN
aiti-4286	71	14	and	and	CCONJ
aiti-4286	71	15	offline	offline	ADJ
aiti-4286	71	16	testing	testing	NOUN
aiti-4286	71	17	dataset	dataset	NOUN
aiti-4286	71	18	.	.	PUNCT
aiti-4286	72	1	2.5	2.5	NUM
aiti-4286	72	2	.	.	PUNCT
aiti-4286	73	1	survey	survey	NOUN
aiti-4286	73	2	on	on	ADP
aiti-4286	73	3	ai	ai	AUX
aiti-4286	73	4	applied	apply	VERB
aiti-4286	73	5	to	to	ADP
aiti-4286	73	6	sdn	sdn	PROPN
aiti-4286	73	7	and	and	CCONJ
aiti-4286	73	8	related	relate	VERB
aiti-4286	73	9	review	review	NOUN
aiti-4286	73	10	the	the	DET
aiti-4286	73	11	flexibility	flexibility	NOUN
aiti-4286	73	12	and	and	CCONJ
aiti-4286	73	13	programmability	programmability	NOUN
aiti-4286	73	14	of	of	ADP
aiti-4286	73	15	the	the	DET
aiti-4286	73	16	sdn	sdn	NOUN
aiti-4286	73	17	network	network	NOUN
aiti-4286	73	18	make	make	VERB
aiti-4286	73	19	the	the	DET
aiti-4286	73	20	traffic	traffic	NOUN
aiti-4286	73	21	classification	classification	NOUN
aiti-4286	73	22	,	,	PUNCT
aiti-4286	73	23	routing	route	VERB
aiti-4286	73	24	optimization	optimization	NOUN
aiti-4286	73	25	,	,	PUNCT
aiti-4286	73	26	qos	qos	PROPN
aiti-4286	73	27	/	/	SYM
aiti-4286	73	28	qoe	qoe	PROPN
aiti-4286	73	29	prediction	prediction	NOUN
aiti-4286	73	30	,	,	PUNCT
aiti-4286	73	31	resource	resource	NOUN
aiti-4286	73	32	management	management	NOUN
aiti-4286	73	33	,	,	PUNCT
aiti-4286	73	34	and	and	CCONJ
aiti-4286	73	35	security	security	NOUN
aiti-4286	73	36	easier	easy	ADJ
aiti-4286	73	37	and	and	CCONJ
aiti-4286	73	38	more	more	ADV
aiti-4286	73	39	efficient	efficient	ADJ
aiti-4286	73	40	.	.	PUNCT
aiti-4286	74	1	with	with	ADP
aiti-4286	74	2	the	the	DET
aiti-4286	74	3	advantage	advantage	NOUN
aiti-4286	74	4	of	of	ADP
aiti-4286	74	5	the	the	DET
aiti-4286	74	6	sdn	sdn	PROPN
aiti-4286	74	7	global	global	ADJ
aiti-4286	74	8	network	network	PROPN
aiti-4286	74	9	view	view	NOUN
aiti-4286	74	10	,	,	PUNCT
aiti-4286	74	11	the	the	DET
aiti-4286	74	12	centralized	centralized	ADJ
aiti-4286	74	13	sdn	sdn	NOUN
aiti-4286	74	14	controller	controller	NOUN
aiti-4286	74	15	is	be	AUX
aiti-4286	74	16	able	able	ADJ
aiti-4286	74	17	to	to	PART
aiti-4286	74	18	collect	collect	VERB
aiti-4286	74	19	various	various	ADJ
aiti-4286	74	20	real	real	ADJ
aiti-4286	74	21	-	-	PUNCT
aiti-4286	74	22	time	time	NOUN
aiti-4286	74	23	and	and	CCONJ
aiti-4286	74	24	historical	historical	ADJ
aiti-4286	74	25	network	network	NOUN
aiti-4286	74	26	data	datum	NOUN
aiti-4286	74	27	from	from	ADP
aiti-4286	74	28	the	the	DET
aiti-4286	74	29	sdn	sdn	NOUN
aiti-4286	74	30	switches	switch	NOUN
aiti-4286	74	31	at	at	ADP
aiti-4286	74	32	per	per	ADP
aiti-4286	74	33	port	port	NOUN
aiti-4286	74	34	and	and	CCONJ
aiti-4286	74	35	per	per	ADP
aiti-4286	74	36	-	-	PUNCT
aiti-4286	74	37	flow	flow	NOUN
aiti-4286	74	38	granularity	granularity	NOUN
aiti-4286	74	39	levels	level	NOUN
aiti-4286	74	40	and	and	CCONJ
aiti-4286	74	41	consequently	consequently	ADV
aiti-4286	74	42	,	,	PUNCT
aiti-4286	74	43	we	we	PRON
aiti-4286	74	44	can	can	AUX
aiti-4286	74	45	apply	apply	VERB
aiti-4286	74	46	the	the	DET
aiti-4286	74	47	ai	ai	ADJ
aiti-4286	74	48	techniques	technique	NOUN
aiti-4286	74	49	on	on	ADP
aiti-4286	74	50	the	the	DET
aiti-4286	74	51	sdn	sdn	NOUN
aiti-4286	74	52	networks	network	NOUN
aiti-4286	74	53	by	by	ADP
aiti-4286	74	54	employing	employ	VERB
aiti-4286	74	55	network	network	NOUN
aiti-4286	74	56	optimization	optimization	NOUN
aiti-4286	74	57	and	and	CCONJ
aiti-4286	74	58	data	datum	NOUN
aiti-4286	74	59	analysis	analysis	NOUN
aiti-4286	74	60	.	.	PUNCT
aiti-4286	75	1	we	we	PRON
aiti-4286	75	2	will	will	AUX
aiti-4286	75	3	provide	provide	VERB
aiti-4286	75	4	a	a	DET
aiti-4286	75	5	brief	brief	ADJ
aiti-4286	75	6	survey	survey	NOUN
aiti-4286	75	7	of	of	ADP
aiti-4286	75	8	ai	ai	NOUN
aiti-4286	75	9	or	or	CCONJ
aiti-4286	75	10	ml	ml	ADP
aiti-4286	75	11	techniques	technique	NOUN
aiti-4286	75	12	applied	apply	VERB
aiti-4286	75	13	to	to	ADP
aiti-4286	75	14	the	the	DET
aiti-4286	75	15	sdn	sdn	NOUN
aiti-4286	75	16	network	network	NOUN
aiti-4286	75	17	,	,	PUNCT
aiti-4286	75	18	including	include	VERB
aiti-4286	75	19	traffic	traffic	NOUN
aiti-4286	75	20	classification	classification	NOUN
aiti-4286	75	21	,	,	PUNCT
aiti-4286	75	22	routing	route	VERB
aiti-4286	75	23	optimization	optimization	NOUN
aiti-4286	75	24	,	,	PUNCT
aiti-4286	75	25	qos	qos	PROPN
aiti-4286	75	26	/	/	SYM
aiti-4286	75	27	qoe	qoe	NOUN
aiti-4286	75	28	prediction	prediction	NOUN
aiti-4286	75	29	,	,	PUNCT
aiti-4286	75	30	and	and	CCONJ
aiti-4286	75	31	security	security	NOUN
aiti-4286	75	32	[	[	X
aiti-4286	75	33	10	10	NUM
aiti-4286	75	34	]	]	PUNCT
aiti-4286	75	35	.	.	PUNCT
aiti-4286	76	1	first	first	ADV
aiti-4286	76	2	,	,	PUNCT
aiti-4286	76	3	traffic	traffic	NOUN
aiti-4286	76	4	classification	classification	NOUN
aiti-4286	76	5	techniques	technique	NOUN
aiti-4286	76	6	in	in	ADP
aiti-4286	76	7	sdn	sdn	NOUN
aiti-4286	76	8	networks	network	NOUN
aiti-4286	76	9	include	include	VERB
aiti-4286	76	10	a	a	DET
aiti-4286	76	11	port	port	NOUN
aiti-4286	76	12	-	-	PUNCT
aiti-4286	76	13	based	base	VERB
aiti-4286	76	14	approach	approach	NOUN
aiti-4286	76	15	,	,	PUNCT
aiti-4286	76	16	deep	deep	ADJ
aiti-4286	76	17	packet	packet	NOUN
aiti-4286	76	18	inspection	inspection	NOUN
aiti-4286	76	19	(	(	PUNCT
aiti-4286	76	20	dpi	dpi	NOUN
aiti-4286	76	21	)	)	PUNCT
aiti-4286	76	22	,	,	PUNCT
aiti-4286	76	23	and	and	CCONJ
aiti-4286	76	24	ai	ai	VERB
aiti-4286	76	25	or	or	CCONJ
aiti-4286	76	26	ml	ml	X
aiti-4286	77	1	[	[	PUNCT
aiti-4286	77	2	11	11	NUM
aiti-4286	77	3	-	-	SYM
aiti-4286	77	4	12	12	NUM
aiti-4286	77	5	]	]	PUNCT
aiti-4286	77	6	.	.	PUNCT
aiti-4286	78	1	the	the	DET
aiti-4286	78	2	port	port	NOUN
aiti-4286	78	3	-	-	PUNCT
aiti-4286	78	4	based	base	VERB
aiti-4286	78	5	approach	approach	NOUN
aiti-4286	78	6	will	will	AUX
aiti-4286	78	7	not	not	PART
aiti-4286	78	8	be	be	AUX
aiti-4286	78	9	effective	effective	ADJ
aiti-4286	78	10	when	when	SCONJ
aiti-4286	78	11	most	most	ADJ
aiti-4286	78	12	applications	application	NOUN
aiti-4286	78	13	recently	recently	ADV
aiti-4286	78	14	utilize	utilize	VERB
aiti-4286	78	15	dynamic	dynamic	ADJ
aiti-4286	78	16	ports	port	NOUN
aiti-4286	78	17	as	as	ADP
aiti-4286	78	18	tcp	tcp	PROPN
aiti-4286	78	19	or	or	CCONJ
aiti-4286	78	20	udp	udp	NOUN
aiti-4286	78	21	port	port	NOUN
aiti-4286	78	22	numbers	number	NOUN
aiti-4286	78	23	.	.	PUNCT
aiti-4286	79	1	the	the	DET
aiti-4286	79	2	dpi	dpi	NOUN
aiti-4286	79	3	approach	approach	NOUN
aiti-4286	79	4	results	result	VERB
aiti-4286	79	5	in	in	ADP
aiti-4286	79	6	high	high	ADJ
aiti-4286	79	7	computational	computational	ADJ
aiti-4286	79	8	cost	cost	NOUN
aiti-4286	79	9	or	or	CCONJ
aiti-4286	79	10	difficult	difficult	ADJ
aiti-4286	79	11	pattern	pattern	NOUN
aiti-4286	79	12	update	update	NOUN
aiti-4286	79	13	because	because	SCONJ
aiti-4286	79	14	all	all	DET
aiti-4286	79	15	traffic	traffic	NOUN
aiti-4286	79	16	flows	flow	NOUN
aiti-4286	79	17	need	need	VERB
aiti-4286	79	18	to	to	PART
aiti-4286	79	19	be	be	AUX
aiti-4286	79	20	checked	check	VERB
aiti-4286	79	21	or	or	CCONJ
aiti-4286	79	22	updated	update	VERB
aiti-4286	79	23	for	for	ADP
aiti-4286	79	24	the	the	DET
aiti-4286	79	25	exponential	exponential	ADJ
aiti-4286	79	26	growth	growth	NOUN
aiti-4286	79	27	of	of	ADP
aiti-4286	79	28	applications	application	NOUN
aiti-4286	79	29	.	.	PUNCT
aiti-4286	80	1	currently	currently	ADV
aiti-4286	80	2	,	,	PUNCT
aiti-4286	80	3	more	more	ADJ
aiti-4286	80	4	and	and	CCONJ
aiti-4286	80	5	more	more	ADV
aiti-4286	80	6	encrypted	encrypt	VERB
aiti-4286	80	7	packets	packet	NOUN
aiti-4286	80	8	of	of	ADP
aiti-4286	80	9	various	various	ADJ
aiti-4286	80	10	applications	application	NOUN
aiti-4286	80	11	make	make	VERB
aiti-4286	80	12	the	the	DET
aiti-4286	80	13	dpi	dpi	NOUN
aiti-4286	80	14	approach	approach	NOUN
aiti-4286	80	15	even	even	ADV
aiti-4286	80	16	impractical	impractical	ADJ
aiti-4286	80	17	.	.	PUNCT
aiti-4286	81	1	ai	ai	AUX
aiti-4286	81	2	or	or	CCONJ
aiti-4286	81	3	ml	ml	ADP
aiti-4286	81	4	techniques	technique	NOUN
aiti-4286	81	5	are	be	AUX
aiti-4286	81	6	applied	apply	VERB
aiti-4286	81	7	to	to	PART
aiti-4286	81	8	extract	extract	VERB
aiti-4286	81	9	knowledge	knowledge	NOUN
aiti-4286	81	10	from	from	ADP
aiti-4286	81	11	the	the	DET
aiti-4286	81	12	traffic	traffic	NOUN
aiti-4286	81	13	flows	flow	NOUN
aiti-4286	81	14	in	in	ADP
aiti-4286	81	15	sdn	sdn	PROPN
aiti-4286	81	16	,	,	PUNCT
aiti-4286	81	17	thus	thus	ADV
aiti-4286	81	18	ai	ai	VERB
aiti-4286	81	19	or	or	CCONJ
aiti-4286	81	20	ml	ml	NOUN
aiti-4286	81	21	-	-	PUNCT
aiti-4286	81	22	based	base	VERB
aiti-4286	81	23	approaches	approach	NOUN
aiti-4286	81	24	are	be	AUX
aiti-4286	81	25	able	able	ADJ
aiti-4286	81	26	to	to	PART
aiti-4286	81	27	classify	classify	VERB
aiti-4286	81	28	encrypted	encrypt	VERB
aiti-4286	81	29	packets	packet	NOUN
aiti-4286	81	30	correctly	correctly	ADV
aiti-4286	81	31	with	with	ADP
aiti-4286	81	32	the	the	DET
aiti-4286	81	33	lower	low	ADJ
aiti-4286	81	34	computational	computational	ADJ
aiti-4286	81	35	cost	cost	NOUN
aiti-4286	81	36	.	.	PUNCT
aiti-4286	82	1	advances	advance	NOUN
aiti-4286	82	2	in	in	ADP
aiti-4286	82	3	technology	technology	NOUN
aiti-4286	82	4	innovation	innovation	NOUN
aiti-4286	82	5	,	,	PUNCT
aiti-4286	82	6	vol	vol	NOUN
aiti-4286	82	7	.	.	PROPN
aiti-4286	82	8	5	5	NUM
aiti-4286	82	9	,	,	PUNCT
aiti-4286	82	10	no	no	INTJ
aiti-4286	82	11	.	.	NOUN
aiti-4286	82	12	4	4	NUM
aiti-4286	82	13	,	,	PUNCT
aiti-4286	82	14	2020	2020	NUM
aiti-4286	82	15	,	,	PUNCT
aiti-4286	82	16	pp	pp	ADV
aiti-4286	82	17	.	.	PUNCT
aiti-4286	83	1	216	216	NUM
aiti-4286	83	2	-	-	SYM
aiti-4286	83	3	229	229	NUM
aiti-4286	83	4	219	219	NUM
aiti-4286	83	5	deep	deep	ADJ
aiti-4286	83	6	learning	learning	NOUN
aiti-4286	83	7	models	model	NOUN
aiti-4286	83	8	have	have	AUX
aiti-4286	83	9	been	be	AUX
aiti-4286	83	10	applied	apply	VERB
aiti-4286	83	11	to	to	ADP
aiti-4286	83	12	network	network	NOUN
aiti-4286	83	13	traffic	traffic	NOUN
aiti-4286	83	14	classification	classification	NOUN
aiti-4286	83	15	currently	currently	ADV
aiti-4286	83	16	.	.	PUNCT
aiti-4286	84	1	the	the	DET
aiti-4286	84	2	research	research	NOUN
aiti-4286	84	3	in	in	ADP
aiti-4286	84	4	[	[	X
aiti-4286	84	5	13	13	NUM
aiti-4286	84	6	]	]	PUNCT
aiti-4286	84	7	introduced	introduce	VERB
aiti-4286	84	8	a	a	DET
aiti-4286	84	9	sae	sae	PROPN
aiti-4286	84	10	-	-	PUNCT
aiti-4286	84	11	based	base	VERB
aiti-4286	84	12	scheme	scheme	NOUN
aiti-4286	84	13	to	to	PART
aiti-4286	84	14	classify	classify	VERB
aiti-4286	84	15	unencrypted	unencrypted	ADJ
aiti-4286	84	16	data	datum	NOUN
aiti-4286	84	17	flows	flow	NOUN
aiti-4286	84	18	.	.	PUNCT
aiti-4286	85	1	however	however	ADV
aiti-4286	85	2	,	,	PUNCT
aiti-4286	85	3	their	their	PRON
aiti-4286	85	4	scheme	scheme	NOUN
aiti-4286	85	5	was	be	AUX
aiti-4286	85	6	only	only	ADV
aiti-4286	85	7	applied	apply	VERB
aiti-4286	85	8	to	to	ADP
aiti-4286	85	9	unencrypted	unencrypted	ADJ
aiti-4286	85	10	traffic	traffic	NOUN
aiti-4286	85	11	and	and	CCONJ
aiti-4286	85	12	could	could	AUX
aiti-4286	85	13	not	not	PART
aiti-4286	85	14	be	be	AUX
aiti-4286	85	15	deployed	deploy	VERB
aiti-4286	85	16	to	to	ADP
aiti-4286	85	17	the	the	DET
aiti-4286	85	18	encrypted	encrypt	VERB
aiti-4286	85	19	data	datum	NOUN
aiti-4286	85	20	.	.	PUNCT
aiti-4286	86	1	besides	besides	SCONJ
aiti-4286	86	2	,	,	PUNCT
aiti-4286	86	3	the	the	DET
aiti-4286	86	4	dataset	dataset	NOUN
aiti-4286	86	5	used	use	VERB
aiti-4286	86	6	in	in	ADP
aiti-4286	86	7	their	their	PRON
aiti-4286	86	8	research	research	NOUN
aiti-4286	86	9	was	be	AUX
aiti-4286	86	10	not	not	PART
aiti-4286	86	11	open	open	ADJ
aiti-4286	86	12	to	to	ADP
aiti-4286	86	13	the	the	DET
aiti-4286	86	14	public	public	NOUN
aiti-4286	86	15	.	.	PUNCT
aiti-4286	87	1	the	the	DET
aiti-4286	87	2	research	research	NOUN
aiti-4286	87	3	in	in	ADP
aiti-4286	87	4	[	[	X
aiti-4286	87	5	14	14	NUM
aiti-4286	87	6	]	]	PUNCT
aiti-4286	87	7	proposed	propose	VERB
aiti-4286	87	8	a	a	DET
aiti-4286	87	9	scheme	scheme	NOUN
aiti-4286	87	10	to	to	PART
aiti-4286	87	11	identify	identify	VERB
aiti-4286	87	12	encrypted	encrypt	VERB
aiti-4286	87	13	traffic	traffic	NOUN
aiti-4286	87	14	based	base	VERB
aiti-4286	87	15	on	on	ADP
aiti-4286	87	16	sae	sae	PROPN
aiti-4286	87	17	and	and	CCONJ
aiti-4286	87	18	cnn	cnn	PROPN
aiti-4286	87	19	models	model	NOUN
aiti-4286	87	20	.	.	PUNCT
aiti-4286	88	1	the	the	DET
aiti-4286	88	2	research	research	NOUN
aiti-4286	88	3	in	in	ADP
aiti-4286	88	4	[	[	X
aiti-4286	88	5	15	15	NUM
aiti-4286	88	6	]	]	PUNCT
aiti-4286	88	7	proposed	propose	VERB
aiti-4286	88	8	three	three	NUM
aiti-4286	88	9	deep	deep	ADJ
aiti-4286	88	10	learning	learning	NOUN
aiti-4286	88	11	based	base	VERB
aiti-4286	88	12	models	model	NOUN
aiti-4286	88	13	,	,	PUNCT
aiti-4286	88	14	including	include	VERB
aiti-4286	88	15	mlp	mlp	PROPN
aiti-4286	88	16	,	,	PUNCT
aiti-4286	88	17	sae	sae	PROPN
aiti-4286	88	18	,	,	PUNCT
aiti-4286	88	19	and	and	CCONJ
aiti-4286	88	20	cnn	cnn	PROPN
aiti-4286	88	21	for	for	ADP
aiti-4286	88	22	traffic	traffic	NOUN
aiti-4286	88	23	classification	classification	NOUN
aiti-4286	88	24	.	.	PUNCT
aiti-4286	89	1	they	they	PRON
aiti-4286	89	2	developed	develop	VERB
aiti-4286	89	3	their	their	PRON
aiti-4286	89	4	models	model	NOUN
aiti-4286	89	5	based	base	VERB
aiti-4286	89	6	on	on	ADP
aiti-4286	89	7	all	all	DET
aiti-4286	89	8	encrypted	encrypt	VERB
aiti-4286	89	9	streaming	streaming	NOUN
aiti-4286	89	10	packets	packet	NOUN
aiti-4286	89	11	from	from	ADP
aiti-4286	89	12	the	the	DET
aiti-4286	89	13	open	open	ADJ
aiti-4286	89	14	source	source	NOUN
aiti-4286	89	15	dataset	dataset	NOUN
aiti-4286	89	16	.	.	PUNCT
aiti-4286	90	1	however	however	ADV
aiti-4286	90	2	,	,	PUNCT
aiti-4286	90	3	their	their	PRON
aiti-4286	90	4	research	research	NOUN
aiti-4286	90	5	,	,	PUNCT
aiti-4286	90	6	including	include	VERB
aiti-4286	90	7	training	training	NOUN
aiti-4286	90	8	and	and	CCONJ
aiti-4286	90	9	prediction	prediction	NOUN
aiti-4286	90	10	models	model	NOUN
aiti-4286	90	11	,	,	PUNCT
aiti-4286	90	12	could	could	AUX
aiti-4286	90	13	not	not	PART
aiti-4286	90	14	be	be	AUX
aiti-4286	90	15	applied	apply	VERB
aiti-4286	90	16	to	to	ADP
aiti-4286	90	17	the	the	DET
aiti-4286	90	18	real	real	ADJ
aiti-4286	90	19	network	network	NOUN
aiti-4286	90	20	traffic	traffic	NOUN
aiti-4286	90	21	or	or	CCONJ
aiti-4286	90	22	emulated	emulate	VERB
aiti-4286	90	23	online	online	ADJ
aiti-4286	90	24	flows	flow	NOUN
aiti-4286	90	25	because	because	SCONJ
aiti-4286	90	26	they	they	PRON
aiti-4286	90	27	only	only	ADV
aiti-4286	90	28	conducted	conduct	VERB
aiti-4286	90	29	the	the	DET
aiti-4286	90	30	offline	offline	ADJ
aiti-4286	90	31	dataset	dataset	NOUN
aiti-4286	90	32	analysis	analysis	NOUN
aiti-4286	90	33	.	.	PUNCT
aiti-4286	91	1	secondly	secondly	ADV
aiti-4286	91	2	,	,	PUNCT
aiti-4286	91	3	the	the	DET
aiti-4286	91	4	routing	route	VERB
aiti-4286	91	5	optimization	optimization	NOUN
aiti-4286	91	6	issues	issue	NOUN
aiti-4286	91	7	in	in	ADP
aiti-4286	91	8	sdn	sdn	PROPN
aiti-4286	91	9	networks	network	NOUN
aiti-4286	91	10	typically	typically	ADV
aiti-4286	91	11	employ	employ	VERB
aiti-4286	91	12	the	the	DET
aiti-4286	91	13	shortest	short	ADJ
aiti-4286	91	14	path	path	NOUN
aiti-4286	91	15	first	first	ADV
aiti-4286	91	16	(	(	PUNCT
aiti-4286	91	17	spf	spf	ADJ
aiti-4286	91	18	)	)	PUNCT
aiti-4286	91	19	algorithm	algorithm	NOUN
aiti-4286	91	20	and	and	CCONJ
aiti-4286	91	21	heuristic	heuristic	ADJ
aiti-4286	91	22	algorithms	algorithm	NOUN
aiti-4286	91	23	[	[	X
aiti-4286	91	24	16	16	NUM
aiti-4286	91	25	]	]	PUNCT
aiti-4286	91	26	.	.	PUNCT
aiti-4286	92	1	the	the	DET
aiti-4286	92	2	spf	spf	PROPN
aiti-4286	92	3	algorithm	algorithm	NOUN
aiti-4286	92	4	is	be	AUX
aiti-4286	92	5	a	a	DET
aiti-4286	92	6	best	good	ADJ
aiti-4286	92	7	-	-	PUNCT
aiti-4286	92	8	effort	effort	NOUN
aiti-4286	92	9	routing	routing	NOUN
aiti-4286	92	10	scheme	scheme	NOUN
aiti-4286	92	11	.	.	PUNCT
aiti-4286	93	1	it	it	PRON
aiti-4286	93	2	is	be	AUX
aiti-4286	93	3	unable	unable	ADJ
aiti-4286	93	4	to	to	PART
aiti-4286	93	5	utilize	utilize	VERB
aiti-4286	93	6	the	the	DET
aiti-4286	93	7	best	good	ADJ
aiti-4286	93	8	network	network	NOUN
aiti-4286	93	9	resources	resource	NOUN
aiti-4286	93	10	due	due	ADP
aiti-4286	93	11	to	to	ADP
aiti-4286	93	12	the	the	DET
aiti-4286	93	13	simplicity	simplicity	NOUN
aiti-4286	93	14	of	of	ADP
aiti-4286	93	15	the	the	DET
aiti-4286	93	16	algorithm	algorithm	NOUN
aiti-4286	93	17	.	.	PUNCT
aiti-4286	94	1	the	the	DET
aiti-4286	94	2	high	high	ADJ
aiti-4286	94	3	computational	computational	ADJ
aiti-4286	94	4	cost	cost	NOUN
aiti-4286	94	5	however	however	ADV
aiti-4286	94	6	would	would	AUX
aiti-4286	94	7	be	be	AUX
aiti-4286	94	8	the	the	DET
aiti-4286	94	9	shortcoming	shortcoming	NOUN
aiti-4286	94	10	of	of	ADP
aiti-4286	94	11	heuristic	heuristic	ADJ
aiti-4286	94	12	algorithms	algorithm	NOUN
aiti-4286	94	13	[	[	X
aiti-4286	94	14	17	17	NUM
aiti-4286	94	15	]	]	X
aiti-4286	94	16	,	,	PUNCT
aiti-4286	94	17	such	such	ADJ
aiti-4286	94	18	as	as	ADP
aiti-4286	94	19	ant	ant	ADJ
aiti-4286	94	20	colony	colony	NOUN
aiti-4286	94	21	optimization	optimization	NOUN
aiti-4286	94	22	algorithm	algorithm	NOUN
aiti-4286	94	23	.	.	PUNCT
aiti-4286	95	1	the	the	DET
aiti-4286	95	2	introduction	introduction	NOUN
aiti-4286	95	3	of	of	ADP
aiti-4286	95	4	ai	ai	NOUN
aiti-4286	95	5	or	or	CCONJ
aiti-4286	95	6	ml	ml	X
aiti-4286	95	7	to	to	ADP
aiti-4286	95	8	the	the	DET
aiti-4286	95	9	route	route	NOUN
aiti-4286	95	10	optimization	optimization	NOUN
aiti-4286	95	11	in	in	ADP
aiti-4286	95	12	sdn	sdn	PROPN
aiti-4286	95	13	can	can	AUX
aiti-4286	95	14	be	be	AUX
aiti-4286	95	15	considered	consider	VERB
aiti-4286	95	16	as	as	ADP
aiti-4286	95	17	a	a	DET
aiti-4286	95	18	decision	decision	NOUN
aiti-4286	95	19	-	-	PUNCT
aiti-4286	95	20	making	make	VERB
aiti-4286	95	21	policy	policy	NOUN
aiti-4286	95	22	which	which	PRON
aiti-4286	95	23	does	do	AUX
aiti-4286	95	24	not	not	PART
aiti-4286	95	25	need	need	VERB
aiti-4286	95	26	a	a	DET
aiti-4286	95	27	complex	complex	ADJ
aiti-4286	95	28	mathematical	mathematical	ADJ
aiti-4286	95	29	model	model	NOUN
aiti-4286	95	30	once	once	SCONJ
aiti-4286	95	31	the	the	DET
aiti-4286	95	32	model	model	NOUN
aiti-4286	95	33	has	have	AUX
aiti-4286	95	34	been	be	AUX
aiti-4286	95	35	trained	train	VERB
aiti-4286	95	36	.	.	PUNCT
aiti-4286	96	1	the	the	DET
aiti-4286	96	2	reinforcement	reinforcement	NOUN
aiti-4286	96	3	learning	learning	NOUN
aiti-4286	96	4	could	could	AUX
aiti-4286	96	5	be	be	AUX
aiti-4286	96	6	an	an	DET
aiti-4286	96	7	effective	effective	ADJ
aiti-4286	96	8	mechanism	mechanism	NOUN
aiti-4286	96	9	which	which	PRON
aiti-4286	96	10	may	may	AUX
aiti-4286	96	11	provide	provide	VERB
aiti-4286	96	12	a	a	DET
aiti-4286	96	13	near	near	ADV
aiti-4286	96	14	-	-	PUNCT
aiti-4286	96	15	optimal	optimal	ADJ
aiti-4286	96	16	routing	routing	NOUN
aiti-4286	96	17	decision	decision	NOUN
aiti-4286	96	18	quickly	quickly	ADV
aiti-4286	96	19	.	.	PUNCT
aiti-4286	97	1	thirdly	thirdly	ADV
aiti-4286	97	2	,	,	PUNCT
aiti-4286	97	3	based	base	VERB
aiti-4286	97	4	on	on	ADP
aiti-4286	97	5	qos	qos	PROPN
aiti-4286	97	6	/	/	SYM
aiti-4286	97	7	qoe	qoe	PROPN
aiti-4286	97	8	prediction	prediction	NOUN
aiti-4286	97	9	,	,	PUNCT
aiti-4286	97	10	the	the	DET
aiti-4286	97	11	sdn	sdn	PROPN
aiti-4286	97	12	network	network	NOUN
aiti-4286	97	13	operators	operator	NOUN
aiti-4286	97	14	or	or	CCONJ
aiti-4286	97	15	service	service	NOUN
aiti-4286	97	16	providers	provider	NOUN
aiti-4286	97	17	are	be	AUX
aiti-4286	97	18	able	able	ADJ
aiti-4286	97	19	to	to	PART
aiti-4286	97	20	provide	provide	VERB
aiti-4286	97	21	suitable	suitable	ADJ
aiti-4286	97	22	services	service	NOUN
aiti-4286	97	23	to	to	ADP
aiti-4286	97	24	the	the	DET
aiti-4286	97	25	customers	customer	NOUN
aiti-4286	97	26	according	accord	VERB
aiti-4286	97	27	to	to	ADP
aiti-4286	97	28	their	their	PRON
aiti-4286	97	29	expectations	expectation	NOUN
aiti-4286	97	30	which	which	PRON
aiti-4286	97	31	consequently	consequently	ADV
aiti-4286	97	32	increase	increase	VERB
aiti-4286	97	33	customer	customer	NOUN
aiti-4286	97	34	satisfaction	satisfaction	NOUN
aiti-4286	97	35	and	and	CCONJ
aiti-4286	97	36	service	service	NOUN
aiti-4286	97	37	.	.	PUNCT
aiti-4286	98	1	the	the	DET
aiti-4286	98	2	authors	author	NOUN
aiti-4286	98	3	in	in	ADP
aiti-4286	98	4	[	[	X
aiti-4286	98	5	18	18	NUM
aiti-4286	98	6	]	]	PUNCT
aiti-4286	98	7	have	have	AUX
aiti-4286	98	8	proposed	propose	VERB
aiti-4286	98	9	a	a	DET
aiti-4286	98	10	traditional	traditional	ADJ
aiti-4286	98	11	m	m	NOUN
aiti-4286	98	12	/	/	SYM
aiti-4286	98	13	m/1	m/1	NOUN
aiti-4286	98	14	network	network	NOUN
aiti-4286	98	15	model	model	NOUN
aiti-4286	98	16	and	and	CCONJ
aiti-4286	98	17	neural	neural	ADJ
aiti-4286	98	18	network	network	NOUN
aiti-4286	98	19	model	model	NOUN
aiti-4286	98	20	to	to	PART
aiti-4286	98	21	train	train	VERB
aiti-4286	98	22	the	the	DET
aiti-4286	98	23	model	model	NOUN
aiti-4286	98	24	with	with	ADP
aiti-4286	98	25	traffic	traffic	NOUN
aiti-4286	98	26	load	load	NOUN
aiti-4286	98	27	and	and	CCONJ
aiti-4286	98	28	overlay	overlay	NOUN
aiti-4286	98	29	routing	routing	NOUN
aiti-4286	98	30	policy	policy	NOUN
aiti-4286	98	31	and	and	CCONJ
aiti-4286	98	32	then	then	ADV
aiti-4286	98	33	to	to	PART
aiti-4286	98	34	estimate	estimate	VERB
aiti-4286	98	35	the	the	DET
aiti-4286	98	36	network	network	NOUN
aiti-4286	98	37	delay	delay	NOUN
aiti-4286	98	38	.	.	PUNCT
aiti-4286	99	1	the	the	DET
aiti-4286	99	2	authors	author	NOUN
aiti-4286	99	3	in	in	ADP
aiti-4286	99	4	[	[	X
aiti-4286	99	5	19	19	NUM
aiti-4286	99	6	]	]	PUNCT
aiti-4286	99	7	have	have	AUX
aiti-4286	99	8	focused	focus	VERB
aiti-4286	99	9	on	on	ADP
aiti-4286	99	10	the	the	DET
aiti-4286	99	11	qoe	qoe	NOUN
aiti-4286	99	12	prediction	prediction	NOUN
aiti-4286	99	13	for	for	ADP
aiti-4286	99	14	video	video	NOUN
aiti-4286	99	15	streaming	streaming	NOUN
aiti-4286	99	16	service	service	NOUN
aiti-4286	99	17	in	in	ADP
aiti-4286	99	18	the	the	DET
aiti-4286	99	19	sdn	sdn	NOUN
aiti-4286	99	20	network	network	NOUN
aiti-4286	99	21	by	by	ADP
aiti-4286	99	22	correlating	correlate	VERB
aiti-4286	99	23	the	the	DET
aiti-4286	99	24	qos	qos	PROPN
aiti-4286	99	25	parameters	parameter	NOUN
aiti-4286	99	26	with	with	ADP
aiti-4286	99	27	the	the	DET
aiti-4286	99	28	qoe	qoe	NOUN
aiti-4286	99	29	values	value	NOUN
aiti-4286	99	30	.	.	PUNCT
aiti-4286	100	1	they	they	PRON
aiti-4286	100	2	applied	apply	VERB
aiti-4286	100	3	a	a	DET
aiti-4286	100	4	supervised	supervised	ADJ
aiti-4286	100	5	learning	learning	NOUN
aiti-4286	100	6	model	model	NOUN
aiti-4286	100	7	to	to	PART
aiti-4286	100	8	estimate	estimate	VERB
aiti-4286	100	9	the	the	DET
aiti-4286	100	10	mean	mean	ADJ
aiti-4286	100	11	opinion	opinion	NOUN
aiti-4286	100	12	score	score	NOUN
aiti-4286	100	13	(	(	PUNCT
aiti-4286	100	14	mos	mos	NOUN
aiti-4286	100	15	)	)	PUNCT
aiti-4286	100	16	value	value	NOUN
aiti-4286	100	17	according	accord	VERB
aiti-4286	100	18	to	to	ADP
aiti-4286	100	19	the	the	DET
aiti-4286	100	20	sdn	sdn	PROPN
aiti-4286	100	21	network	network	NOUN
aiti-4286	100	22	parameters	parameter	NOUN
aiti-4286	100	23	,	,	PUNCT
aiti-4286	100	24	such	such	ADJ
aiti-4286	100	25	as	as	ADP
aiti-4286	100	26	delay	delay	NOUN
aiti-4286	100	27	,	,	PUNCT
aiti-4286	100	28	jitter	jitter	NOUN
aiti-4286	100	29	,	,	PUNCT
aiti-4286	100	30	and	and	CCONJ
aiti-4286	100	31	bandwidth	bandwidth	ADJ
aiti-4286	100	32	,	,	PUNCT
aiti-4286	100	33	to	to	PART
aiti-4286	100	34	adjust	adjust	VERB
aiti-4286	100	35	video	video	NOUN
aiti-4286	100	36	parameters	parameter	NOUN
aiti-4286	100	37	,	,	PUNCT
aiti-4286	100	38	such	such	ADJ
aiti-4286	100	39	as	as	ADP
aiti-4286	100	40	bitrate	bitrate	NOUN
aiti-4286	100	41	and	and	CCONJ
aiti-4286	100	42	resolution	resolution	NOUN
aiti-4286	100	43	,	,	PUNCT
aiti-4286	100	44	in	in	ADP
aiti-4286	100	45	the	the	DET
aiti-4286	100	46	sdn	sdn	NOUN
aiti-4286	100	47	controller	controller	NOUN
aiti-4286	100	48	and	and	CCONJ
aiti-4286	100	49	consequently	consequently	ADV
aiti-4286	100	50	improve	improve	VERB
aiti-4286	100	51	the	the	DET
aiti-4286	100	52	qoe	qoe	NOUN
aiti-4286	100	53	of	of	ADP
aiti-4286	100	54	users	user	NOUN
aiti-4286	100	55	’	'	PUNCT
aiti-4286	100	56	experience	experience	NOUN
aiti-4286	100	57	.	.	PUNCT
aiti-4286	101	1	lastly	lastly	ADV
aiti-4286	101	2	,	,	PUNCT
aiti-4286	101	3	security	security	NOUN
aiti-4286	101	4	is	be	AUX
aiti-4286	101	5	always	always	ADV
aiti-4286	101	6	an	an	DET
aiti-4286	101	7	important	important	ADJ
aiti-4286	101	8	issue	issue	NOUN
aiti-4286	101	9	in	in	ADP
aiti-4286	101	10	sdn	sdn	NOUN
aiti-4286	101	11	network	network	NOUN
aiti-4286	101	12	research	research	NOUN
aiti-4286	101	13	and	and	CCONJ
aiti-4286	101	14	operation	operation	NOUN
aiti-4286	101	15	.	.	PUNCT
aiti-4286	102	1	intrusion	intrusion	NOUN
aiti-4286	102	2	detection	detection	NOUN
aiti-4286	102	3	system	system	NOUN
aiti-4286	102	4	(	(	PUNCT
aiti-4286	102	5	ids	id	NOUN
aiti-4286	102	6	)	)	PUNCT
aiti-4286	102	7	is	be	AUX
aiti-4286	102	8	an	an	DET
aiti-4286	102	9	important	important	ADJ
aiti-4286	102	10	mechanism	mechanism	NOUN
aiti-4286	102	11	and	and	CCONJ
aiti-4286	102	12	system	system	NOUN
aiti-4286	102	13	for	for	ADP
aiti-4286	102	14	network	network	NOUN
aiti-4286	102	15	security	security	NOUN
aiti-4286	102	16	which	which	PRON
aiti-4286	102	17	in	in	ADP
aiti-4286	102	18	general	general	ADJ
aiti-4286	102	19	consists	consist	NOUN
aiti-4286	102	20	of	of	ADP
aiti-4286	102	21	signature	signature	NOUN
aiti-4286	102	22	-	-	PUNCT
aiti-4286	102	23	based	base	VERB
aiti-4286	102	24	ids	id	NOUN
aiti-4286	102	25	and	and	CCONJ
aiti-4286	102	26	anomaly	anomaly	NOUN
aiti-4286	102	27	-	-	PUNCT
aiti-4286	102	28	based	base	VERB
aiti-4286	102	29	ids	id	NOUN
aiti-4286	102	30	according	accord	VERB
aiti-4286	102	31	to	to	ADP
aiti-4286	102	32	how	how	SCONJ
aiti-4286	102	33	they	they	PRON
aiti-4286	102	34	identify	identify	VERB
aiti-4286	102	35	network	network	NOUN
aiti-4286	102	36	attacks	attack	NOUN
aiti-4286	102	37	[	[	X
aiti-4286	102	38	20	20	NUM
aiti-4286	102	39	]	]	PUNCT
aiti-4286	102	40	.	.	PUNCT
aiti-4286	103	1	because	because	SCONJ
aiti-4286	103	2	the	the	DET
aiti-4286	103	3	signature	signature	NOUN
aiti-4286	103	4	-	-	PUNCT
aiti-4286	103	5	based	base	VERB
aiti-4286	103	6	ids	id	NOUN
aiti-4286	103	7	has	have	VERB
aiti-4286	103	8	some	some	DET
aiti-4286	103	9	shortcomings	shortcoming	NOUN
aiti-4286	103	10	,	,	PUNCT
aiti-4286	103	11	such	such	ADJ
aiti-4286	103	12	as	as	ADP
aiti-4286	103	13	signature	signature	NOUN
aiti-4286	103	14	update	update	NOUN
aiti-4286	103	15	difficulty	difficulty	NOUN
aiti-4286	103	16	and	and	CCONJ
aiti-4286	103	17	high	high	ADJ
aiti-4286	103	18	time	time	NOUN
aiti-4286	103	19	consumption	consumption	NOUN
aiti-4286	103	20	for	for	ADP
aiti-4286	103	21	all	all	DET
aiti-4286	103	22	signatures	signature	NOUN
aiti-4286	103	23	comparison	comparison	NOUN
aiti-4286	103	24	,	,	PUNCT
aiti-4286	103	25	most	most	ADJ
aiti-4286	103	26	researches	research	VERB
aiti-4286	103	27	focus	focus	VERB
aiti-4286	103	28	on	on	ADP
aiti-4286	103	29	the	the	DET
aiti-4286	103	30	anomaly	anomaly	NOUN
aiti-4286	103	31	-	-	PUNCT
aiti-4286	103	32	based	base	VERB
aiti-4286	103	33	ids	id	NOUN
aiti-4286	103	34	.	.	PUNCT
aiti-4286	104	1	the	the	DET
aiti-4286	104	2	anomaly	anomaly	NOUN
aiti-4286	104	3	-	-	PUNCT
aiti-4286	104	4	based	base	VERB
aiti-4286	104	5	ids	ids	NOUN
aiti-4286	104	6	is	be	AUX
aiti-4286	104	7	a	a	DET
aiti-4286	104	8	flow	flow	NOUN
aiti-4286	104	9	-	-	PUNCT
aiti-4286	104	10	based	base	VERB
aiti-4286	104	11	traffic	traffic	NOUN
aiti-4286	104	12	identification	identification	NOUN
aiti-4286	104	13	which	which	PRON
aiti-4286	104	14	in	in	ADP
aiti-4286	104	15	general	general	ADJ
aiti-4286	104	16	inspects	inspect	VERB
aiti-4286	104	17	the	the	DET
aiti-4286	104	18	packet	packet	NOUN
aiti-4286	104	19	header	header	NOUN
aiti-4286	104	20	information	information	NOUN
aiti-4286	104	21	based	base	VERB
aiti-4286	104	22	on	on	ADP
aiti-4286	104	23	flow	flow	NOUN
aiti-4286	104	24	-	-	PUNCT
aiti-4286	104	25	granularity	granularity	NOUN
aiti-4286	104	26	information	information	NOUN
aiti-4286	104	27	,	,	PUNCT
aiti-4286	104	28	while	while	SCONJ
aiti-4286	104	29	the	the	DET
aiti-4286	104	30	signature	signature	NOUN
aiti-4286	104	31	-	-	PUNCT
aiti-4286	104	32	based	base	VERB
aiti-4286	104	33	ids	id	NOUN
aiti-4286	104	34	being	be	AUX
aiti-4286	104	35	a	a	DET
aiti-4286	104	36	payload	payload	NOUN
aiti-4286	104	37	-	-	PUNCT
aiti-4286	104	38	based	base	VERB
aiti-4286	104	39	identification	identification	NOUN
aiti-4286	104	40	which	which	PRON
aiti-4286	104	41	needs	need	VERB
aiti-4286	104	42	to	to	PART
aiti-4286	104	43	inspect	inspect	VERB
aiti-4286	104	44	the	the	DET
aiti-4286	104	45	whole	whole	ADJ
aiti-4286	104	46	payload	payload	NOUN
aiti-4286	104	47	of	of	ADP
aiti-4286	104	48	packets	packet	NOUN
aiti-4286	104	49	.	.	PUNCT
aiti-4286	105	1	the	the	DET
aiti-4286	105	2	supervised	supervised	ADJ
aiti-4286	105	3	learning	learning	NOUN
aiti-4286	105	4	algorithms	algorithm	NOUN
aiti-4286	105	5	of	of	ADP
aiti-4286	105	6	ai	ai	NOUN
aiti-4286	105	7	or	or	CCONJ
aiti-4286	105	8	ml	ml	ADP
aiti-4286	105	9	techniques	technique	NOUN
aiti-4286	105	10	are	be	AUX
aiti-4286	105	11	often	often	ADV
aiti-4286	105	12	applied	apply	VERB
aiti-4286	105	13	in	in	ADP
aiti-4286	105	14	anomaly	anomaly	NOUN
aiti-4286	105	15	-	-	PUNCT
aiti-4286	105	16	based	base	VERB
aiti-4286	105	17	ids	id	NOUN
aiti-4286	105	18	by	by	ADP
aiti-4286	105	19	training	train	VERB
aiti-4286	105	20	a	a	DET
aiti-4286	105	21	predefined	predefine	VERB
aiti-4286	105	22	model	model	NOUN
aiti-4286	105	23	to	to	PART
aiti-4286	105	24	identify	identify	VERB
aiti-4286	105	25	intrusions	intrusion	NOUN
aiti-4286	105	26	and	and	CCONJ
aiti-4286	105	27	normal	normal	ADJ
aiti-4286	105	28	flows	flow	NOUN
aiti-4286	105	29	.	.	PUNCT
aiti-4286	106	1	again	again	ADV
aiti-4286	106	2	,	,	PUNCT
aiti-4286	106	3	the	the	DET
aiti-4286	106	4	global	global	ADJ
aiti-4286	106	5	view	view	NOUN
aiti-4286	106	6	and	and	CCONJ
aiti-4286	106	7	programmability	programmability	NOUN
aiti-4286	106	8	of	of	ADP
aiti-4286	106	9	sdn	sdn	PROPN
aiti-4286	106	10	networks	network	NOUN
aiti-4286	106	11	will	will	AUX
aiti-4286	106	12	facilitate	facilitate	VERB
aiti-4286	106	13	the	the	DET
aiti-4286	106	14	ai	ai	NOUN
aiti-4286	106	15	or	or	CCONJ
aiti-4286	106	16	ml	ml	NOUN
aiti-4286	106	17	-	-	PUNCT
aiti-4286	106	18	based	base	VERB
aiti-4286	106	19	ids	id	NOUN
aiti-4286	106	20	because	because	SCONJ
aiti-4286	106	21	of	of	ADP
aiti-4286	106	22	its	its	PRON
aiti-4286	106	23	simplicity	simplicity	NOUN
aiti-4286	106	24	and	and	CCONJ
aiti-4286	106	25	flexibility	flexibility	NOUN
aiti-4286	106	26	of	of	ADP
aiti-4286	106	27	data	datum	NOUN
aiti-4286	106	28	collection	collection	NOUN
aiti-4286	106	29	and	and	CCONJ
aiti-4286	106	30	attack	attack	NOUN
aiti-4286	106	31	reaction	reaction	NOUN
aiti-4286	106	32	,	,	PUNCT
aiti-4286	106	33	respectively	respectively	ADV
aiti-4286	106	34	.	.	PUNCT
aiti-4286	107	1	with	with	ADP
aiti-4286	107	2	proper	proper	ADJ
aiti-4286	107	3	feature	feature	NOUN
aiti-4286	107	4	selection	selection	NOUN
aiti-4286	107	5	and	and	CCONJ
aiti-4286	107	6	feature	feature	NOUN
aiti-4286	107	7	extraction	extraction	NOUN
aiti-4286	107	8	,	,	PUNCT
aiti-4286	107	9	many	many	ADJ
aiti-4286	107	10	studies	study	NOUN
aiti-4286	107	11	have	have	AUX
aiti-4286	107	12	been	be	AUX
aiti-4286	107	13	conducted	conduct	VERB
aiti-4286	107	14	for	for	ADP
aiti-4286	107	15	ai	ai	PROPN
aiti-4286	107	16	or	or	CCONJ
aiti-4286	107	17	ml	ml	ADV
aiti-4286	107	18	-	-	PUNCT
aiti-4286	107	19	based	base	VERB
aiti-4286	107	20	ids	id	NOUN
aiti-4286	107	21	in	in	ADP
aiti-4286	107	22	sdn	sdn	PROPN
aiti-4286	107	23	networks	network	NOUN
aiti-4286	107	24	.	.	PUNCT
aiti-4286	108	1	the	the	DET
aiti-4286	108	2	authors	author	NOUN
aiti-4286	108	3	in	in	ADP
aiti-4286	108	4	[	[	X
aiti-4286	108	5	21	21	NUM
aiti-4286	108	6	]	]	PUNCT
aiti-4286	108	7	employed	employ	VERB
aiti-4286	108	8	the	the	DET
aiti-4286	108	9	data	datum	NOUN
aiti-4286	108	10	preprocessing	preprocessing	NOUN
aiti-4286	108	11	,	,	PUNCT
aiti-4286	108	12	decision	decision	NOUN
aiti-4286	108	13	-	-	PUNCT
aiti-4286	108	14	making	make	VERB
aiti-4286	108	15	subsystem	subsystem	NOUN
aiti-4286	108	16	,	,	PUNCT
aiti-4286	108	17	and	and	CCONJ
aiti-4286	108	18	response	response	NOUN
aiti-4286	108	19	subsystem	subsystem	NOUN
aiti-4286	108	20	for	for	ADP
aiti-4286	108	21	their	their	PRON
aiti-4286	108	22	predictive	predictive	ADJ
aiti-4286	108	23	data	data	NOUN
aiti-4286	108	24	model	model	NOUN
aiti-4286	108	25	as	as	ADP
aiti-4286	108	26	a	a	DET
aiti-4286	108	27	threat	threat	NOUN
aiti-4286	108	28	-	-	PUNCT
aiti-4286	108	29	aware	aware	ADJ
aiti-4286	108	30	ids	id	NOUN
aiti-4286	108	31	in	in	ADP
aiti-4286	108	32	sdn	sdn	PROPN
aiti-4286	108	33	.	.	PUNCT
aiti-4286	109	1	they	they	PRON
aiti-4286	109	2	used	use	VERB
aiti-4286	109	3	a	a	DET
aiti-4286	109	4	forward	forward	ADJ
aiti-4286	109	5	feature	feature	NOUN
aiti-4286	109	6	selection	selection	NOUN
aiti-4286	109	7	strategy	strategy	NOUN
aiti-4286	109	8	to	to	PART
aiti-4286	109	9	select	select	VERB
aiti-4286	109	10	appropriate	appropriate	ADJ
aiti-4286	109	11	feature	feature	NOUN
aiti-4286	109	12	sets	set	NOUN
aiti-4286	109	13	in	in	ADP
aiti-4286	109	14	the	the	DET
aiti-4286	109	15	data	data	NOUN
aiti-4286	109	16	preprocessing	preprocessing	NOUN
aiti-4286	109	17	subsystem	subsystem	NOUN
aiti-4286	109	18	,	,	PUNCT
aiti-4286	109	19	applied	apply	VERB
aiti-4286	109	20	the	the	DET
aiti-4286	109	21	decision	decision	NOUN
aiti-4286	109	22	tree	tree	NOUN
aiti-4286	109	23	and	and	CCONJ
aiti-4286	109	24	random	random	ADJ
aiti-4286	109	25	forest	forest	NOUN
aiti-4286	109	26	algorithms	algorithm	NOUN
aiti-4286	109	27	to	to	PART
aiti-4286	109	28	detect	detect	VERB
aiti-4286	109	29	malicious	malicious	ADJ
aiti-4286	109	30	flows	flow	NOUN
aiti-4286	109	31	in	in	ADP
aiti-4286	109	32	the	the	DET
aiti-4286	109	33	predictive	predictive	ADJ
aiti-4286	109	34	data	datum	NOUN
aiti-4286	109	35	modeling	modeling	NOUN
aiti-4286	109	36	subsystem	subsystem	NOUN
aiti-4286	109	37	,	,	PUNCT
aiti-4286	109	38	and	and	CCONJ
aiti-4286	109	39	then	then	ADV
aiti-4286	109	40	employed	employ	VERB
aiti-4286	109	41	the	the	DET
aiti-4286	109	42	reactive	reactive	NOUN
aiti-4286	109	43	routing	routing	NOUN
aiti-4286	109	44	to	to	PART
aiti-4286	109	45	install	install	VERB
aiti-4286	109	46	different	different	ADJ
aiti-4286	109	47	flow	flow	NOUN
aiti-4286	109	48	rules	rule	NOUN
aiti-4286	109	49	and	and	CCONJ
aiti-4286	109	50	types	type	NOUN
aiti-4286	109	51	based	base	VERB
aiti-4286	109	52	on	on	ADP
aiti-4286	109	53	the	the	DET
aiti-4286	109	54	detection	detection	NOUN
aiti-4286	109	55	results	result	VERB
aiti-4286	109	56	in	in	ADP
aiti-4286	109	57	the	the	DET
aiti-4286	109	58	decision	decision	NOUN
aiti-4286	109	59	making	making	NOUN
aiti-4286	109	60	and	and	CCONJ
aiti-4286	109	61	response	response	NOUN
aiti-4286	109	62	subsystems	subsystem	NOUN
aiti-4286	109	63	.	.	PUNCT
aiti-4286	110	1	the	the	DET
aiti-4286	110	2	authors	author	NOUN
aiti-4286	110	3	in	in	ADP
aiti-4286	110	4	[	[	X
aiti-4286	110	5	22	22	NUM
aiti-4286	110	6	]	]	PUNCT
aiti-4286	110	7	used	use	VERB
aiti-4286	110	8	five	five	NUM
aiti-4286	110	9	flow	flow	NOUN
aiti-4286	110	10	features	feature	NOUN
aiti-4286	110	11	,	,	PUNCT
aiti-4286	110	12	including	include	VERB
aiti-4286	110	13	source	source	NOUN
aiti-4286	110	14	/	/	SYM
aiti-4286	110	15	destination	destination	NOUN
aiti-4286	110	16	ip	ip	NOUN
aiti-4286	110	17	,	,	PUNCT
aiti-4286	110	18	source	source	NOUN
aiti-4286	110	19	/	/	SYM
aiti-4286	110	20	destination	destination	NOUN
aiti-4286	110	21	port	port	NOUN
aiti-4286	110	22	,	,	PUNCT
aiti-4286	110	23	and	and	CCONJ
aiti-4286	110	24	packet	packet	NOUN
aiti-4286	110	25	length	length	NOUN
aiti-4286	110	26	,	,	PUNCT
aiti-4286	110	27	to	to	PART
aiti-4286	110	28	predict	predict	VERB
aiti-4286	110	29	malicious	malicious	ADJ
aiti-4286	110	30	flows	flow	NOUN
aiti-4286	110	31	for	for	ADP
aiti-4286	110	32	their	their	PRON
aiti-4286	110	33	proposed	propose	VERB
aiti-4286	110	34	hmm	hmm	ADV
aiti-4286	110	35	-	-	PUNCT
aiti-4286	110	36	based	base	VERB
aiti-4286	110	37	network	network	NOUN
aiti-4286	110	38	ids	id	NOUN
aiti-4286	110	39	.	.	PUNCT
aiti-4286	111	1	advances	advance	NOUN
aiti-4286	111	2	in	in	ADP
aiti-4286	111	3	technology	technology	NOUN
aiti-4286	111	4	innovation	innovation	NOUN
aiti-4286	111	5	,	,	PUNCT
aiti-4286	111	6	vol	vol	NOUN
aiti-4286	111	7	.	.	PROPN
aiti-4286	111	8	5	5	NUM
aiti-4286	111	9	,	,	PUNCT
aiti-4286	111	10	no	no	INTJ
aiti-4286	111	11	.	.	NOUN
aiti-4286	111	12	4	4	NUM
aiti-4286	111	13	,	,	PUNCT
aiti-4286	111	14	2020	2020	NUM
aiti-4286	111	15	,	,	PUNCT
aiti-4286	111	16	pp	pp	ADV
aiti-4286	111	17	.	.	PUNCT
aiti-4286	112	1	216	216	NUM
aiti-4286	112	2	-	-	SYM
aiti-4286	112	3	229	229	NUM
aiti-4286	112	4	220	220	NUM
aiti-4286	112	5	in	in	ADP
aiti-4286	112	6	this	this	DET
aiti-4286	112	7	paper	paper	NOUN
aiti-4286	112	8	,	,	PUNCT
aiti-4286	112	9	we	we	PRON
aiti-4286	112	10	will	will	AUX
aiti-4286	112	11	mainly	mainly	ADV
aiti-4286	112	12	focus	focus	VERB
aiti-4286	112	13	on	on	ADP
aiti-4286	112	14	the	the	DET
aiti-4286	112	15	deep	deep	ADJ
aiti-4286	112	16	learning	learning	NOUN
aiti-4286	112	17	models	model	NOUN
aiti-4286	112	18	applied	apply	VERB
aiti-4286	112	19	to	to	ADP
aiti-4286	112	20	the	the	DET
aiti-4286	112	21	traffic	traffic	NOUN
aiti-4286	112	22	classification	classification	NOUN
aiti-4286	112	23	,	,	PUNCT
aiti-4286	112	24	especially	especially	ADV
aiti-4286	112	25	application	application	NOUN
aiti-4286	112	26	-	-	PUNCT
aiti-4286	112	27	based	base	VERB
aiti-4286	112	28	traffics	traffic	NOUN
aiti-4286	112	29	,	,	PUNCT
aiti-4286	112	30	in	in	ADP
aiti-4286	112	31	the	the	DET
aiti-4286	112	32	realm	realm	NOUN
aiti-4286	112	33	of	of	ADP
aiti-4286	112	34	sdn	sdn	PROPN
aiti-4286	112	35	.	.	PUNCT
aiti-4286	113	1	the	the	DET
aiti-4286	113	2	sdn	sdn	PROPN
aiti-4286	113	3	switches	switch	NOUN
aiti-4286	113	4	send	send	VERB
aiti-4286	113	5	the	the	DET
aiti-4286	113	6	traffic	traffic	NOUN
aiti-4286	113	7	statistics	statistic	NOUN
aiti-4286	113	8	and	and	CCONJ
aiti-4286	113	9	packet_in	packet_in	VERB
aiti-4286	113	10	messages	message	NOUN
aiti-4286	113	11	to	to	ADP
aiti-4286	113	12	the	the	DET
aiti-4286	113	13	sdn	sdn	NOUN
aiti-4286	113	14	controller	controller	NOUN
aiti-4286	113	15	for	for	ADP
aiti-4286	113	16	features	feature	NOUN
aiti-4286	113	17	extraction	extraction	NOUN
aiti-4286	113	18	,	,	PUNCT
aiti-4286	113	19	which	which	PRON
aiti-4286	113	20	include	include	VERB
aiti-4286	113	21	server	server	NOUN
aiti-4286	113	22	ip	ip	NOUN
aiti-4286	113	23	and	and	CCONJ
aiti-4286	113	24	port	port	NOUN
aiti-4286	113	25	of	of	ADP
aiti-4286	113	26	each	each	DET
aiti-4286	113	27	flow	flow	NOUN
aiti-4286	113	28	plus	plus	CCONJ
aiti-4286	113	29	the	the	DET
aiti-4286	113	30	statistics	statistic	NOUN
aiti-4286	113	31	data	data	PROPN
aiti-4286	113	32	.	.	PUNCT
aiti-4286	114	1	the	the	DET
aiti-4286	114	2	sdn	sdn	PROPN
aiti-4286	114	3	controller	controller	NOUN
aiti-4286	114	4	with	with	ADP
aiti-4286	114	5	deep	deep	ADJ
aiti-4286	114	6	learning	learning	NOUN
aiti-4286	114	7	models	model	NOUN
aiti-4286	114	8	,	,	PUNCT
aiti-4286	114	9	including	include	VERB
aiti-4286	114	10	mlp	mlp	PROPN
aiti-4286	114	11	,	,	PUNCT
aiti-4286	114	12	cnn	cnn	PROPN
aiti-4286	114	13	,	,	PUNCT
aiti-4286	114	14	and	and	CCONJ
aiti-4286	114	15	sae	sae	PROPN
aiti-4286	114	16	models	model	NOUN
aiti-4286	114	17	,	,	PUNCT
aiti-4286	114	18	will	will	AUX
aiti-4286	114	19	conduct	conduct	VERB
aiti-4286	114	20	the	the	DET
aiti-4286	114	21	application	application	NOUN
aiti-4286	114	22	-	-	PUNCT
aiti-4286	114	23	based	base	VERB
aiti-4286	114	24	traffic	traffic	NOUN
aiti-4286	114	25	classification	classification	NOUN
aiti-4286	114	26	for	for	ADP
aiti-4286	114	27	each	each	DET
aiti-4286	114	28	flow	flow	NOUN
aiti-4286	114	29	by	by	ADP
aiti-4286	114	30	establishing	establish	VERB
aiti-4286	114	31	the	the	DET
aiti-4286	114	32	match	match	NOUN
aiti-4286	114	33	fields	field	NOUN
aiti-4286	114	34	of	of	ADP
aiti-4286	114	35	the	the	DET
aiti-4286	114	36	flow	flow	NOUN
aiti-4286	114	37	.	.	PUNCT
aiti-4286	115	1	3	3	X
aiti-4286	115	2	.	.	X
aiti-4286	115	3	experimental	experimental	ADJ
aiti-4286	115	4	settings	setting	NOUN
aiti-4286	115	5	and	and	CCONJ
aiti-4286	115	6	model	model	NOUN
aiti-4286	115	7	design	design	PROPN
aiti-4286	115	8	3.1	3.1	NUM
aiti-4286	115	9	.	.	PUNCT
aiti-4286	116	1	experimental	experimental	ADJ
aiti-4286	116	2	setting	set	VERB
aiti-4286	116	3	fig	fig	NOUN
aiti-4286	116	4	.	.	PUNCT
aiti-4286	117	1	1	1	NUM
aiti-4286	117	2	illustrates	illustrate	VERB
aiti-4286	117	3	the	the	DET
aiti-4286	117	4	network	network	NOUN
aiti-4286	117	5	topology	topology	NOUN
aiti-4286	117	6	for	for	ADP
aiti-4286	117	7	our	our	PRON
aiti-4286	117	8	proposed	propose	VERB
aiti-4286	117	9	sdn	sdn	NOUN
aiti-4286	117	10	network	network	NOUN
aiti-4286	117	11	testbed	testbe	VERB
aiti-4286	117	12	.	.	PUNCT
aiti-4286	118	1	as	as	SCONJ
aiti-4286	118	2	shown	show	VERB
aiti-4286	118	3	in	in	ADP
aiti-4286	118	4	fig	fig	NOUN
aiti-4286	118	5	.	.	PUNCT
aiti-4286	119	1	1	1	NUM
aiti-4286	119	2	,	,	PUNCT
aiti-4286	119	3	we	we	PRON
aiti-4286	119	4	first	first	ADV
aiti-4286	119	5	apply	apply	VERB
aiti-4286	119	6	the	the	DET
aiti-4286	119	7	iscx	iscx	NOUN
aiti-4286	119	8	dataset	dataset	VERB
aiti-4286	120	1	[	[	PUNCT
aiti-4286	120	2	9	9	NUM
aiti-4286	120	3	]	]	PUNCT
aiti-4286	120	4	to	to	PART
aiti-4286	120	5	emulate	emulate	VERB
aiti-4286	120	6	the	the	DET
aiti-4286	120	7	offline	offline	ADJ
aiti-4286	120	8	and	and	CCONJ
aiti-4286	120	9	online	online	ADJ
aiti-4286	120	10	network	network	NOUN
aiti-4286	120	11	traffic	traffic	NOUN
aiti-4286	120	12	by	by	ADP
aiti-4286	120	13	injecting	inject	VERB
aiti-4286	120	14	them	they	PRON
aiti-4286	120	15	into	into	ADP
aiti-4286	120	16	tcpreplay	tcpreplay	NOUN
aiti-4286	120	17	to	to	PART
aiti-4286	120	18	reproduce	reproduce	VERB
aiti-4286	120	19	the	the	DET
aiti-4286	120	20	client	client	NOUN
aiti-4286	120	21	/	/	SYM
aiti-4286	120	22	server	server	NOUN
aiti-4286	120	23	communications	communication	NOUN
aiti-4286	120	24	in	in	ADP
aiti-4286	120	25	the	the	DET
aiti-4286	120	26	sdn	sdn	NOUN
aiti-4286	120	27	testbed	testbe	VERB
aiti-4286	120	28	.	.	PUNCT
aiti-4286	121	1	as	as	SCONJ
aiti-4286	121	2	mentioned	mention	VERB
aiti-4286	121	3	earlier	early	ADV
aiti-4286	121	4	,	,	PUNCT
aiti-4286	121	5	the	the	DET
aiti-4286	121	6	iscx	iscx	NOUN
aiti-4286	121	7	dataset	dataset	VERB
aiti-4286	121	8	,	,	PUNCT
aiti-4286	121	9	including	include	VERB
aiti-4286	121	10	vpn	vpn	NOUN
aiti-4286	121	11	and	and	CCONJ
aiti-4286	121	12	non	non	ADJ
aiti-4286	121	13	-	-	ADJ
aiti-4286	121	14	vpn	vpn	ADJ
aiti-4286	121	15	datasets	dataset	NOUN
aiti-4286	121	16	,	,	PUNCT
aiti-4286	121	17	was	be	AUX
aiti-4286	121	18	collected	collect	VERB
aiti-4286	121	19	by	by	ADP
aiti-4286	121	20	the	the	DET
aiti-4286	121	21	canadian	canadian	PROPN
aiti-4286	121	22	institute	institute	PROPN
aiti-4286	121	23	for	for	ADP
aiti-4286	121	24	cybersecurity	cybersecurity	NOUN
aiti-4286	121	25	at	at	ADP
aiti-4286	121	26	the	the	DET
aiti-4286	121	27	university	university	NOUN
aiti-4286	121	28	of	of	ADP
aiti-4286	121	29	new	new	PROPN
aiti-4286	121	30	brunswick	brunswick	PROPN
aiti-4286	121	31	.	.	PUNCT
aiti-4286	122	1	both	both	PRON
aiti-4286	122	2	vpn	vpn	NOUN
aiti-4286	122	3	and	and	CCONJ
aiti-4286	122	4	non	non	ADJ
aiti-4286	122	5	-	-	ADJ
aiti-4286	122	6	vpn	vpn	ADJ
aiti-4286	122	7	datasets	dataset	NOUN
aiti-4286	122	8	consist	consist	VERB
aiti-4286	122	9	of	of	ADP
aiti-4286	122	10	six	six	NUM
aiti-4286	122	11	application	application	NOUN
aiti-4286	122	12	services	service	NOUN
aiti-4286	122	13	,	,	PUNCT
aiti-4286	122	14	including	include	VERB
aiti-4286	122	15	skype	skype	NOUN
aiti-4286	122	16	,	,	PUNCT
aiti-4286	122	17	facebook	facebook	NOUN
aiti-4286	122	18	,	,	PUNCT
aiti-4286	122	19	hangouts	hangout	NOUN
aiti-4286	122	20	,	,	PUNCT
aiti-4286	122	21	youtube	youtube	NOUN
aiti-4286	122	22	,	,	PUNCT
aiti-4286	122	23	and	and	CCONJ
aiti-4286	122	24	etc	etc	X
aiti-4286	122	25	.	.	X
aiti-4286	122	26	internet	internet	NOUN
aiti-4286	122	27	router	router	NOUN
aiti-4286	122	28	ova	ova	VERB
aiti-4286	122	29	ryu	ryu	PROPN
aiti-4286	122	30	controller	controller	PROPN
aiti-4286	122	31	tcpreplay	tcpreplay	PROPN
aiti-4286	122	32	host1	host1	NOUN
aiti-4286	122	33	tcpreplay	tcpreplay	PROPN
aiti-4286	122	34	host2	host2	NOUN
aiti-4286	123	1	fig	fig	NOUN
aiti-4286	123	2	.	.	PUNCT
aiti-4286	124	1	1	1	NUM
aiti-4286	124	2	network	network	NOUN
aiti-4286	124	3	topology	topology	NOUN
aiti-4286	124	4	of	of	ADP
aiti-4286	124	5	the	the	DET
aiti-4286	124	6	sdn	sdn	NOUN
aiti-4286	124	7	testbed	testbe	VERB
aiti-4286	124	8	in	in	ADP
aiti-4286	124	9	this	this	DET
aiti-4286	124	10	research	research	NOUN
aiti-4286	124	11	,	,	PUNCT
aiti-4286	124	12	we	we	PRON
aiti-4286	124	13	deploy	deploy	VERB
aiti-4286	124	14	tp	tp	NOUN
aiti-4286	124	15	-	-	PUNCT
aiti-4286	124	16	link	link	NOUN
aiti-4286	124	17	tl	tl	PROPN
aiti-4286	124	18	-	-	PUNCT
aiti-4286	124	19	wr1043nd	wr1043nd	PROPN
aiti-4286	124	20	as	as	ADP
aiti-4286	124	21	the	the	DET
aiti-4286	124	22	open	open	ADJ
aiti-4286	124	23	virtual	virtual	ADJ
aiti-4286	124	24	switch	switch	NOUN
aiti-4286	124	25	(	(	PUNCT
aiti-4286	124	26	ovs	ovs	NOUN
aiti-4286	124	27	)	)	PUNCT
aiti-4286	124	28	based	base	VERB
aiti-4286	124	29	on	on	ADP
aiti-4286	124	30	the	the	DET
aiti-4286	124	31	openflow	openflow	ADJ
aiti-4286	124	32	protocol	protocol	NOUN
aiti-4286	124	33	for	for	ADP
aiti-4286	124	34	the	the	DET
aiti-4286	124	35	sdn	sdn	PROPN
aiti-4286	124	36	data	datum	NOUN
aiti-4286	124	37	plan	plan	NOUN
aiti-4286	124	38	.	.	PUNCT
aiti-4286	125	1	the	the	DET
aiti-4286	125	2	ovs	ovs	NOUN
aiti-4286	125	3	is	be	AUX
aiti-4286	125	4	implemented	implement	VERB
aiti-4286	125	5	and	and	CCONJ
aiti-4286	125	6	installed	instal	VERB
aiti-4286	125	7	using	use	VERB
aiti-4286	125	8	openwrt	openwrt	PROPN
aiti-4286	126	1	[	[	X
aiti-4286	126	2	23	23	NUM
aiti-4286	126	3	]	]	PUNCT
aiti-4286	126	4	.	.	PUNCT
aiti-4286	127	1	the	the	DET
aiti-4286	127	2	ryu	ryu	PROPN
aiti-4286	127	3	controller	controller	NOUN
aiti-4286	127	4	[	[	X
aiti-4286	127	5	7	7	NUM
aiti-4286	127	6	]	]	PUNCT
aiti-4286	127	7	is	be	AUX
aiti-4286	127	8	used	use	VERB
aiti-4286	127	9	in	in	ADP
aiti-4286	127	10	this	this	DET
aiti-4286	127	11	paper	paper	NOUN
aiti-4286	127	12	to	to	PART
aiti-4286	127	13	define	define	VERB
aiti-4286	127	14	the	the	DET
aiti-4286	127	15	framework	framework	NOUN
aiti-4286	127	16	of	of	ADP
aiti-4286	127	17	the	the	DET
aiti-4286	127	18	sdn	sdn	NOUN
aiti-4286	127	19	networks	network	NOUN
aiti-4286	127	20	.	.	PUNCT
aiti-4286	128	1	as	as	SCONJ
aiti-4286	128	2	defined	define	VERB
aiti-4286	128	3	by	by	ADP
aiti-4286	128	4	openflow	openflow	ADJ
aiti-4286	128	5	standard	standard	NOUN
aiti-4286	128	6	,	,	PUNCT
aiti-4286	128	7	whenever	whenever	SCONJ
aiti-4286	128	8	a	a	DET
aiti-4286	128	9	new	new	ADJ
aiti-4286	128	10	coming	come	VERB
aiti-4286	128	11	packet	packet	NOUN
aiti-4286	128	12	does	do	AUX
aiti-4286	128	13	not	not	PART
aiti-4286	128	14	match	match	VERB
aiti-4286	128	15	any	any	DET
aiti-4286	128	16	flow	flow	NOUN
aiti-4286	128	17	entry	entry	NOUN
aiti-4286	128	18	in	in	ADP
aiti-4286	128	19	the	the	DET
aiti-4286	128	20	flow	flow	NOUN
aiti-4286	128	21	table	table	NOUN
aiti-4286	128	22	of	of	ADP
aiti-4286	128	23	ovs	ovs	NOUN
aiti-4286	128	24	,	,	PUNCT
aiti-4286	128	25	the	the	DET
aiti-4286	128	26	ovs	ovs	NOUN
aiti-4286	128	27	switch	switch	NOUN
aiti-4286	128	28	will	will	AUX
aiti-4286	128	29	trigger	trigger	VERB
aiti-4286	128	30	the	the	DET
aiti-4286	128	31	packet_in	packet_in	NOUN
aiti-4286	128	32	mechanism	mechanism	NOUN
aiti-4286	128	33	and	and	CCONJ
aiti-4286	128	34	send	send	VERB
aiti-4286	128	35	it	it	PRON
aiti-4286	128	36	to	to	ADP
aiti-4286	128	37	the	the	DET
aiti-4286	128	38	ryu	ryu	PROPN
aiti-4286	128	39	controller	controller	NOUN
aiti-4286	128	40	as	as	ADP
aiti-4286	128	41	routing	route	VERB
aiti-4286	128	42	setting	set	VERB
aiti-4286	128	43	request	request	NOUN
aiti-4286	128	44	.	.	PUNCT
aiti-4286	129	1	for	for	ADP
aiti-4286	129	2	all	all	DET
aiti-4286	129	3	packets	packet	NOUN
aiti-4286	129	4	in	in	ADP
aiti-4286	129	5	the	the	DET
aiti-4286	129	6	same	same	ADJ
aiti-4286	129	7	flow	flow	NOUN
aiti-4286	129	8	,	,	PUNCT
aiti-4286	129	9	only	only	ADV
aiti-4286	129	10	one	one	NUM
aiti-4286	129	11	packet_in	packet_in	NOUN
aiti-4286	129	12	message	message	NOUN
aiti-4286	129	13	is	be	AUX
aiti-4286	129	14	sent	send	VERB
aiti-4286	129	15	to	to	ADP
aiti-4286	129	16	the	the	DET
aiti-4286	129	17	controller	controller	NOUN
aiti-4286	129	18	for	for	ADP
aiti-4286	129	19	the	the	DET
aiti-4286	129	20	same	same	ADJ
aiti-4286	129	21	flow	flow	NOUN
aiti-4286	129	22	.	.	PUNCT
aiti-4286	130	1	in	in	ADP
aiti-4286	130	2	this	this	DET
aiti-4286	130	3	research	research	NOUN
aiti-4286	130	4	,	,	PUNCT
aiti-4286	130	5	besides	besides	SCONJ
aiti-4286	130	6	the	the	DET
aiti-4286	130	7	packet_in	packet_in	ADJ
aiti-4286	130	8	message	message	NOUN
aiti-4286	130	9	for	for	ADP
aiti-4286	130	10	each	each	DET
aiti-4286	130	11	flow	flow	NOUN
aiti-4286	130	12	,	,	PUNCT
aiti-4286	130	13	we	we	PRON
aiti-4286	130	14	also	also	ADV
aiti-4286	130	15	collect	collect	VERB
aiti-4286	130	16	the	the	DET
aiti-4286	130	17	flow	flow	NOUN
aiti-4286	130	18	statistics	statistic	NOUN
aiti-4286	130	19	data	data	PROPN
aiti-4286	130	20	.	.	PUNCT
aiti-4286	131	1	for	for	ADP
aiti-4286	131	2	the	the	DET
aiti-4286	131	3	openflow	openflow	ADJ
aiti-4286	131	4	statistics	statistic	NOUN
aiti-4286	131	5	mechanism	mechanism	NOUN
aiti-4286	131	6	,	,	PUNCT
aiti-4286	131	7	the	the	DET
aiti-4286	131	8	ovs	ovs	NOUN
aiti-4286	131	9	sends	send	VERB
aiti-4286	131	10	the	the	DET
aiti-4286	131	11	periodical	periodical	ADJ
aiti-4286	131	12	statistics	statistic	NOUN
aiti-4286	131	13	reports	report	NOUN
aiti-4286	131	14	to	to	ADP
aiti-4286	131	15	the	the	DET
aiti-4286	131	16	controller	controller	NOUN
aiti-4286	131	17	in	in	ADP
aiti-4286	131	18	response	response	NOUN
aiti-4286	131	19	to	to	ADP
aiti-4286	131	20	the	the	DET
aiti-4286	131	21	controller	controller	NOUN
aiti-4286	131	22	’s	’s	PART
aiti-4286	131	23	statistics	statistic	NOUN
aiti-4286	131	24	request	request	NOUN
aiti-4286	131	25	.	.	PUNCT
aiti-4286	132	1	the	the	DET
aiti-4286	132	2	ovs	ovs	PROPN
aiti-4286	132	3	statistics	statistics	PROPN
aiti-4286	132	4	reported	report	VERB
aiti-4286	132	5	in	in	ADP
aiti-4286	132	6	1sec	1sec	NUM
aiti-4286	132	7	interval	interval	NOUN
aiti-4286	132	8	,	,	PUNCT
aiti-4286	132	9	including	include	VERB
aiti-4286	132	10	flow	flow	NOUN
aiti-4286	132	11	statistics	statistic	NOUN
aiti-4286	132	12	,	,	PUNCT
aiti-4286	132	13	table	table	NOUN
aiti-4286	132	14	statistics	statistic	NOUN
aiti-4286	132	15	,	,	PUNCT
aiti-4286	132	16	port	port	NOUN
aiti-4286	132	17	statistics	statistic	NOUN
aiti-4286	132	18	,	,	PUNCT
aiti-4286	132	19	queue	queue	NOUN
aiti-4286	132	20	statistics	statistic	NOUN
aiti-4286	132	21	,	,	PUNCT
aiti-4286	132	22	group	group	NOUN
aiti-4286	132	23	statistics	statistic	NOUN
aiti-4286	132	24	,	,	PUNCT
aiti-4286	132	25	and	and	CCONJ
aiti-4286	132	26	meter	meter	NOUN
aiti-4286	132	27	statistics	statistic	NOUN
aiti-4286	132	28	,	,	PUNCT
aiti-4286	132	29	could	could	AUX
aiti-4286	132	30	be	be	AUX
aiti-4286	132	31	used	use	VERB
aiti-4286	132	32	as	as	ADP
aiti-4286	132	33	the	the	DET
aiti-4286	132	34	deep	deep	ADJ
aiti-4286	132	35	learning	learning	NOUN
aiti-4286	132	36	features	feature	VERB
aiti-4286	132	37	for	for	ADP
aiti-4286	132	38	traffic	traffic	NOUN
aiti-4286	132	39	flow	flow	NOUN
aiti-4286	132	40	behavior	behavior	NOUN
aiti-4286	132	41	learning	learn	VERB
aiti-4286	132	42	.	.	PUNCT
aiti-4286	133	1	the	the	DET
aiti-4286	133	2	flow	flow	NOUN
aiti-4286	133	3	statistics	statistic	NOUN
aiti-4286	133	4	data	datum	NOUN
aiti-4286	133	5	combined	combine	VERB
aiti-4286	133	6	with	with	ADP
aiti-4286	133	7	the	the	DET
aiti-4286	133	8	packet_in	packet_in	ADJ
aiti-4286	133	9	message	message	NOUN
aiti-4286	133	10	will	will	AUX
aiti-4286	133	11	be	be	AUX
aiti-4286	133	12	the	the	DET
aiti-4286	133	13	learning	learn	VERB
aiti-4286	133	14	features	feature	NOUN
aiti-4286	133	15	of	of	ADP
aiti-4286	133	16	the	the	DET
aiti-4286	133	17	deep	deep	ADJ
aiti-4286	133	18	learning	learning	NOUN
aiti-4286	133	19	models	model	NOUN
aiti-4286	133	20	designed	design	VERB
aiti-4286	133	21	in	in	ADP
aiti-4286	133	22	the	the	DET
aiti-4286	133	23	ryu	ryu	PROPN
aiti-4286	133	24	controller	controller	NOUN
aiti-4286	133	25	for	for	ADP
aiti-4286	133	26	a	a	DET
aiti-4286	133	27	specific	specific	ADJ
aiti-4286	133	28	flow	flow	NOUN
aiti-4286	133	29	.	.	PUNCT
aiti-4286	134	1	for	for	ADP
aiti-4286	134	2	each	each	DET
aiti-4286	134	3	sdn	sdn	NOUN
aiti-4286	134	4	flow	flow	NOUN
aiti-4286	134	5	,	,	PUNCT
aiti-4286	134	6	keeping	keep	VERB
aiti-4286	134	7	the	the	DET
aiti-4286	134	8	session	session	NOUN
aiti-4286	134	9	connected	connect	VERB
aiti-4286	134	10	,	,	PUNCT
aiti-4286	134	11	the	the	DET
aiti-4286	134	12	ovs	ovs	PROPN
aiti-4286	134	13	statistics	statistic	NOUN
aiti-4286	134	14	report	report	NOUN
aiti-4286	134	15	will	will	AUX
aiti-4286	134	16	be	be	AUX
aiti-4286	134	17	sent	send	VERB
aiti-4286	134	18	to	to	ADP
aiti-4286	134	19	the	the	DET
aiti-4286	134	20	ryu	ryu	PROPN
aiti-4286	134	21	controller	controller	NOUN
aiti-4286	134	22	continuously	continuously	ADV
aiti-4286	134	23	in	in	ADP
aiti-4286	134	24	1sec	1sec	NUM
aiti-4286	134	25	interval	interval	NOUN
aiti-4286	134	26	.	.	PUNCT
aiti-4286	135	1	this	this	PRON
aiti-4286	135	2	will	will	AUX
aiti-4286	135	3	avoid	avoid	VERB
aiti-4286	135	4	the	the	DET
aiti-4286	135	5	stochastic	stochastic	ADJ
aiti-4286	135	6	learning	learning	NOUN
aiti-4286	135	7	results	result	NOUN
aiti-4286	135	8	due	due	ADJ
aiti-4286	135	9	to	to	ADP
aiti-4286	135	10	inconstant	inconstant	ADJ
aiti-4286	135	11	or	or	CCONJ
aiti-4286	135	12	random	random	ADJ
aiti-4286	135	13	statistics	statistic	NOUN
aiti-4286	135	14	reports	report	NOUN
aiti-4286	135	15	.	.	PUNCT
aiti-4286	136	1	because	because	SCONJ
aiti-4286	136	2	of	of	ADP
aiti-4286	136	3	the	the	DET
aiti-4286	136	4	traffic	traffic	NOUN
aiti-4286	136	5	flow	flow	NOUN
aiti-4286	136	6	characteristics	characteristic	NOUN
aiti-4286	136	7	of	of	ADP
aiti-4286	136	8	sdn	sdn	PROPN
aiti-4286	136	9	networks	network	NOUN
aiti-4286	136	10	,	,	PUNCT
aiti-4286	136	11	the	the	DET
aiti-4286	136	12	processing	processing	NOUN
aiti-4286	136	13	data	datum	NOUN
aiti-4286	136	14	including	include	VERB
aiti-4286	136	15	packet_in	packet_in	NOUN
aiti-4286	136	16	message	message	NOUN
aiti-4286	136	17	and	and	CCONJ
aiti-4286	136	18	statistics	statistic	NOUN
aiti-4286	136	19	data	datum	NOUN
aiti-4286	136	20	in	in	ADP
aiti-4286	136	21	1sec	1sec	NUM
aiti-4286	136	22	interval	interval	NOUN
aiti-4286	136	23	for	for	ADP
aiti-4286	136	24	deep	deep	ADJ
aiti-4286	136	25	learning	learning	NOUN
aiti-4286	136	26	in	in	ADP
aiti-4286	136	27	this	this	DET
aiti-4286	136	28	research	research	NOUN
aiti-4286	136	29	is	be	AUX
aiti-4286	136	30	less	less	ADJ
aiti-4286	136	31	than	than	ADP
aiti-4286	136	32	the	the	DET
aiti-4286	136	33	traditional	traditional	ADJ
aiti-4286	136	34	traffic	traffic	NOUN
aiti-4286	136	35	classification	classification	NOUN
aiti-4286	136	36	which	which	PRON
aiti-4286	136	37	processes	process	VERB
aiti-4286	136	38	data	datum	NOUN
aiti-4286	136	39	from	from	ADP
aiti-4286	136	40	all	all	DET
aiti-4286	136	41	packets	packet	NOUN
aiti-4286	136	42	.	.	PUNCT
aiti-4286	137	1	advances	advance	NOUN
aiti-4286	137	2	in	in	ADP
aiti-4286	137	3	technology	technology	NOUN
aiti-4286	137	4	innovation	innovation	NOUN
aiti-4286	137	5	,	,	PUNCT
aiti-4286	137	6	vol	vol	NOUN
aiti-4286	137	7	.	.	PROPN
aiti-4286	137	8	5	5	NUM
aiti-4286	137	9	,	,	PUNCT
aiti-4286	137	10	no	no	INTJ
aiti-4286	137	11	.	.	NOUN
aiti-4286	137	12	4	4	NUM
aiti-4286	137	13	,	,	PUNCT
aiti-4286	137	14	2020	2020	NUM
aiti-4286	137	15	,	,	PUNCT
aiti-4286	137	16	pp	pp	ADV
aiti-4286	137	17	.	.	PUNCT
aiti-4286	138	1	216	216	NUM
aiti-4286	138	2	-	-	SYM
aiti-4286	138	3	229	229	NUM
aiti-4286	138	4	221	221	NUM
aiti-4286	138	5	3.2	3.2	NUM
aiti-4286	138	6	.	.	PUNCT
aiti-4286	139	1	data	datum	NOUN
aiti-4286	139	2	pre	pre	ADJ
aiti-4286	139	3	-	-	NOUN
aiti-4286	139	4	processing	processing	NOUN
aiti-4286	139	5	in	in	ADP
aiti-4286	139	6	this	this	DET
aiti-4286	139	7	paper	paper	NOUN
aiti-4286	139	8	,	,	PUNCT
aiti-4286	139	9	the	the	DET
aiti-4286	139	10	dataset	dataset	NOUN
aiti-4286	139	11	was	be	AUX
aiti-4286	139	12	collected	collect	VERB
aiti-4286	139	13	in	in	ADP
aiti-4286	139	14	a	a	DET
aiti-4286	139	15	precise	precise	ADJ
aiti-4286	139	16	and	and	CCONJ
aiti-4286	139	17	pre	pre	ADJ
aiti-4286	139	18	-	-	ADJ
aiti-4286	139	19	defined	define	VERB
aiti-4286	139	20	amount	amount	NOUN
aiti-4286	139	21	and	and	CCONJ
aiti-4286	139	22	the	the	DET
aiti-4286	139	23	experiments	experiment	NOUN
aiti-4286	139	24	were	be	AUX
aiti-4286	139	25	conducted	conduct	VERB
aiti-4286	139	26	for	for	ADP
aiti-4286	139	27	three	three	NUM
aiti-4286	139	28	different	different	ADJ
aiti-4286	139	29	deep	deep	ADJ
aiti-4286	139	30	learning	learning	NOUN
aiti-4286	139	31	models	model	NOUN
aiti-4286	139	32	ten	ten	NUM
aiti-4286	139	33	times	time	NOUN
aiti-4286	139	34	.	.	PUNCT
aiti-4286	140	1	most	most	ADJ
aiti-4286	140	2	input	input	PROPN
aiti-4286	140	3	data	datum	NOUN
aiti-4286	140	4	are	be	AUX
aiti-4286	140	5	the	the	DET
aiti-4286	140	6	features	feature	NOUN
aiti-4286	140	7	with	with	ADP
aiti-4286	140	8	a	a	DET
aiti-4286	140	9	one	one	NUM
aiti-4286	140	10	-	-	PUNCT
aiti-4286	140	11	hot	hot	ADJ
aiti-4286	140	12	input	input	NOUN
aiti-4286	140	13	scheme	scheme	NOUN
aiti-4286	140	14	except	except	SCONJ
aiti-4286	140	15	two	two	NUM
aiti-4286	140	16	features	feature	NOUN
aiti-4286	140	17	,	,	PUNCT
aiti-4286	140	18	i.e.	i.e.	X
aiti-4286	140	19	byte	byte	NOUN
aiti-4286	140	20	counts	count	NOUN
aiti-4286	140	21	and	and	CCONJ
aiti-4286	140	22	packet	packet	NOUN
aiti-4286	140	23	counts	count	NOUN
aiti-4286	140	24	,	,	PUNCT
aiti-4286	140	25	which	which	PRON
aiti-4286	140	26	will	will	AUX
aiti-4286	140	27	be	be	AUX
aiti-4286	140	28	discussed	discuss	VERB
aiti-4286	140	29	in	in	ADP
aiti-4286	140	30	more	more	ADJ
aiti-4286	140	31	detail	detail	NOUN
aiti-4286	140	32	shortly	shortly	ADV
aiti-4286	140	33	.	.	PUNCT
aiti-4286	141	1	since	since	SCONJ
aiti-4286	141	2	deep	deep	ADJ
aiti-4286	141	3	learning	learning	NOUN
aiti-4286	141	4	is	be	AUX
aiti-4286	141	5	a	a	DET
aiti-4286	141	6	mathematical	mathematical	ADJ
aiti-4286	141	7	operation	operation	NOUN
aiti-4286	141	8	of	of	ADP
aiti-4286	141	9	non	non	ADJ
aiti-4286	141	10	-	-	ADJ
aiti-4286	141	11	linear	linear	ADJ
aiti-4286	141	12	regression	regression	NOUN
aiti-4286	141	13	,	,	PUNCT
aiti-4286	141	14	it	it	PRON
aiti-4286	141	15	is	be	AUX
aiti-4286	141	16	necessary	necessary	ADJ
aiti-4286	141	17	to	to	PART
aiti-4286	141	18	limit	limit	VERB
aiti-4286	141	19	the	the	DET
aiti-4286	141	20	eigenvalues	eigenvalue	NOUN
aiti-4286	141	21	input	input	NOUN
aiti-4286	141	22	to	to	ADP
aiti-4286	141	23	the	the	DET
aiti-4286	141	24	classification	classification	NOUN
aiti-4286	141	25	model	model	NOUN
aiti-4286	141	26	to	to	ADP
aiti-4286	141	27	a	a	DET
aiti-4286	141	28	fixed	fixed	ADJ
aiti-4286	141	29	range	range	NOUN
aiti-4286	141	30	.	.	PUNCT
aiti-4286	142	1	therefore	therefore	ADV
aiti-4286	142	2	,	,	PUNCT
aiti-4286	142	3	the	the	DET
aiti-4286	142	4	keys	key	NOUN
aiti-4286	142	5	and	and	CCONJ
aiti-4286	142	6	values	value	NOUN
aiti-4286	142	7	are	be	AUX
aiti-4286	142	8	stored	store	VERB
aiti-4286	142	9	in	in	ADP
aiti-4286	142	10	mapping	mapping	NOUN
aiti-4286	142	11	mode	mode	NOUN
aiti-4286	142	12	using	use	VERB
aiti-4286	142	13	hash	hash	NOUN
aiti-4286	142	14	handles	handle	NOUN
aiti-4286	142	15	,	,	PUNCT
aiti-4286	142	16	and	and	CCONJ
aiti-4286	142	17	minmaxscaler	minmaxscaler	NOUN
aiti-4286	142	18	in	in	ADP
aiti-4286	142	19	scikit	scikit	NOUN
aiti-4286	142	20	-	-	PUNCT
aiti-4286	142	21	learn	learn	VERB
aiti-4286	142	22	[	[	X
aiti-4286	142	23	24	24	NUM
aiti-4286	142	24	]	]	PUNCT
aiti-4286	142	25	to	to	PART
aiti-4286	142	26	normalize	normalize	VERB
aiti-4286	142	27	the	the	DET
aiti-4286	142	28	values	value	NOUN
aiti-4286	142	29	and	and	CCONJ
aiti-4286	142	30	scale	scale	VERB
aiti-4286	142	31	them	they	PRON
aiti-4286	142	32	to	to	ADP
aiti-4286	142	33	the	the	DET
aiti-4286	142	34	range	range	NOUN
aiti-4286	142	35	of	of	ADP
aiti-4286	142	36	0	0	NUM
aiti-4286	142	37	to	to	PART
aiti-4286	142	38	1	1	NUM
aiti-4286	142	39	.	.	PUNCT
aiti-4286	143	1	the	the	DET
aiti-4286	143	2	minmaxscaler	minmaxscaler	NOUN
aiti-4286	143	3	is	be	AUX
aiti-4286	143	4	shown	show	VERB
aiti-4286	143	5	in	in	ADP
aiti-4286	143	6	eq	eq	ADP
aiti-4286	143	7	.	.	PUNCT
aiti-4286	144	1	(	(	PUNCT
aiti-4286	144	2	1	1	NUM
aiti-4286	144	3	)	)	PUNCT
aiti-4286	144	4	,	,	PUNCT
aiti-4286	144	5	where	where	SCONJ
aiti-4286	144	6	xi	xi	PROPN
aiti-4286	144	7	represents	represent	VERB
aiti-4286	144	8	the	the	DET
aiti-4286	144	9	selected	select	VERB
aiti-4286	144	10	feature	feature	NOUN
aiti-4286	144	11	value	value	NOUN
aiti-4286	144	12	,	,	PUNCT
aiti-4286	144	13	xnom	xnom	PROPN
aiti-4286	144	14	represents	represent	VERB
aiti-4286	144	15	the	the	DET
aiti-4286	144	16	normalized	normalized	ADJ
aiti-4286	144	17	value	value	NOUN
aiti-4286	144	18	of	of	ADP
aiti-4286	144	19	one	one	NUM
aiti-4286	144	20	specific	specific	ADJ
aiti-4286	144	21	feature	feature	NOUN
aiti-4286	144	22	,	,	PUNCT
aiti-4286	144	23	and	and	CCONJ
aiti-4286	144	24	min(x	min(x	PROPN
aiti-4286	144	25	)	)	PUNCT
aiti-4286	144	26	and	and	CCONJ
aiti-4286	144	27	max(x	max(x	PROPN
aiti-4286	144	28	)	)	PUNCT
aiti-4286	144	29	are	be	AUX
aiti-4286	144	30	the	the	DET
aiti-4286	144	31	minimum	minimum	ADJ
aiti-4286	144	32	and	and	CCONJ
aiti-4286	144	33	maximum	maximum	ADJ
aiti-4286	144	34	values	value	NOUN
aiti-4286	144	35	of	of	ADP
aiti-4286	144	36	the	the	DET
aiti-4286	144	37	feature	feature	NOUN
aiti-4286	144	38	,	,	PUNCT
aiti-4286	144	39	respectively	respectively	ADV
aiti-4286	144	40	.	.	PUNCT
aiti-4286	145	1	(	(	PUNCT
aiti-4286	145	2	)	)	PUNCT
aiti-4286	145	3	(	(	PUNCT
aiti-4286	145	4	)	)	PUNCT
aiti-4286	145	5	(	(	PUNCT
aiti-4286	145	6	)	)	PUNCT
aiti-4286	146	1	[	[	X
aiti-4286	146	2	0	0	NUM
aiti-4286	146	3	,	,	PUNCT
aiti-4286	146	4	1	1	NUM
aiti-4286	146	5	]	]	PUNCT
aiti-4286	146	6	i	i	PRON
aiti-4286	146	7	x	x	PROPN
aiti-4286	146	8	nom	nom	NOUN
aiti-4286	146	9	x	x	PROPN
aiti-4286	146	10	x	x	PUNCT
aiti-4286	146	11	x	x	SYM
aiti-4286	146	12	min	min	PROPN
aiti-4286	146	13	x	x	SYM
aiti-4286	146	14	max	max	PROPN
aiti-4286	146	15	min	min	PROPN
aiti-4286	146	16			PROPN
aiti-4286	146	17			PROPN
aiti-4286	146	18			PROPN
aiti-4286	146	19			NOUN
aiti-4286	146	20	(	(	PUNCT
aiti-4286	146	21	1	1	NUM
aiti-4286	146	22	)	)	PUNCT
aiti-4286	146	23	table	table	NOUN
aiti-4286	146	24	1	1	NUM
aiti-4286	146	25	shows	show	VERB
aiti-4286	146	26	the	the	DET
aiti-4286	146	27	iscx	iscx	NOUN
aiti-4286	146	28	dataset	dataset	VERB
aiti-4286	146	29	used	use	VERB
aiti-4286	146	30	in	in	ADP
aiti-4286	146	31	this	this	DET
aiti-4286	146	32	experiment	experiment	NOUN
aiti-4286	146	33	,	,	PUNCT
aiti-4286	146	34	which	which	PRON
aiti-4286	146	35	is	be	AUX
aiti-4286	146	36	injected	inject	VERB
aiti-4286	146	37	into	into	ADP
aiti-4286	146	38	tcpreplay	tcpreplay	NOUN
aiti-4286	146	39	to	to	PART
aiti-4286	146	40	emulate	emulate	VERB
aiti-4286	146	41	the	the	DET
aiti-4286	146	42	offline	offline	ADJ
aiti-4286	146	43	and	and	CCONJ
aiti-4286	146	44	online	online	ADJ
aiti-4286	146	45	network	network	NOUN
aiti-4286	146	46	for	for	ADP
aiti-4286	146	47	the	the	DET
aiti-4286	146	48	client	client	NOUN
aiti-4286	146	49	/	/	SYM
aiti-4286	146	50	server	server	NOUN
aiti-4286	146	51	communications	communication	NOUN
aiti-4286	146	52	in	in	ADP
aiti-4286	146	53	the	the	DET
aiti-4286	146	54	sdn	sdn	NOUN
aiti-4286	146	55	testbed	testbe	VERB
aiti-4286	146	56	.	.	PUNCT
aiti-4286	147	1	there	there	PRON
aiti-4286	147	2	are	be	VERB
aiti-4286	147	3	six	six	NUM
aiti-4286	147	4	applications	application	NOUN
aiti-4286	147	5	,	,	PUNCT
aiti-4286	147	6	including	include	VERB
aiti-4286	147	7	facebook	facebook	NOUN
aiti-4286	147	8	,	,	PUNCT
aiti-4286	147	9	gmail	gmail	NOUN
aiti-4286	147	10	,	,	PUNCT
aiti-4286	147	11	hangouts	hangout	NOUN
aiti-4286	147	12	,	,	PUNCT
aiti-4286	147	13	netflix	netflix	NOUN
aiti-4286	147	14	,	,	PUNCT
aiti-4286	147	15	skype	skype	NOUN
aiti-4286	147	16	,	,	PUNCT
aiti-4286	147	17	and	and	CCONJ
aiti-4286	147	18	youtube	youtube	NOUN
aiti-4286	147	19	,	,	PUNCT
aiti-4286	147	20	for	for	ADP
aiti-4286	147	21	each	each	DET
aiti-4286	147	22	vpn	vpn	NOUN
aiti-4286	147	23	and	and	CCONJ
aiti-4286	147	24	non	non	ADJ
aiti-4286	147	25	-	-	ADJ
aiti-4286	147	26	vpn	vpn	ADJ
aiti-4286	147	27	dataset	dataset	NOUN
aiti-4286	147	28	in	in	ADP
aiti-4286	147	29	the	the	DET
aiti-4286	147	30	iscx	iscx	NOUN
aiti-4286	147	31	dataset	dataset	VERB
aiti-4286	147	32	.	.	PUNCT
aiti-4286	148	1	for	for	ADP
aiti-4286	148	2	the	the	DET
aiti-4286	148	3	skype	skype	NOUN
aiti-4286	148	4	application	application	NOUN
aiti-4286	148	5	,	,	PUNCT
aiti-4286	148	6	the	the	DET
aiti-4286	148	7	dataset	dataset	NOUN
aiti-4286	148	8	was	be	AUX
aiti-4286	148	9	further	far	ADV
aiti-4286	148	10	divided	divide	VERB
aiti-4286	148	11	into	into	ADP
aiti-4286	148	12	two	two	NUM
aiti-4286	148	13	classes	class	NOUN
aiti-4286	148	14	,	,	PUNCT
aiti-4286	148	15	skypeaudio	skypeaudio	NOUN
aiti-4286	148	16	and	and	CCONJ
aiti-4286	148	17	skypevideo	skypevideo	NOUN
aiti-4286	148	18	.	.	PUNCT
aiti-4286	149	1	table	table	NOUN
aiti-4286	149	2	1	1	NUM
aiti-4286	149	3	dataset	dataset	NOUN
aiti-4286	149	4	used	use	VERB
aiti-4286	149	5	in	in	ADP
aiti-4286	149	6	deep	deep	ADJ
aiti-4286	149	7	learning	learning	NOUN
aiti-4286	149	8	model	model	NOUN
aiti-4286	149	9	labels	label	NOUN
aiti-4286	149	10	applications	application	NOUN
aiti-4286	149	11	training	training	NOUN
aiti-4286	149	12	data	datum	NOUN
aiti-4286	149	13	amount	amount	NOUN
aiti-4286	149	14	validation	validation	NOUN
aiti-4286	149	15	data	datum	NOUN
aiti-4286	149	16	amount	amount	NOUN
aiti-4286	149	17	testing	testing	NOUN
aiti-4286	149	18	data	datum	NOUN
aiti-4286	149	19	amount	amount	NOUN
aiti-4286	149	20	facebookchat	facebookchat	NOUN
aiti-4286	149	21	facebook	facebook	NOUN
aiti-4286	149	22	9981	9981	NUM
aiti-4286	149	23	1109	1109	NUM
aiti-4286	149	24	11091	11091	NUM
aiti-4286	149	25	gmailchat	gmailchat	PRON
aiti-4286	149	26	gmail	gmail	NOUN
aiti-4286	149	27	hangoutchat	hangoutchat	PROPN
aiti-4286	149	28	hangout	hangout	VERB
aiti-4286	149	29	netflix	netflix	ADJ
aiti-4286	149	30	netflix	netflix	PROPN
aiti-4286	149	31	skypeaudio	skypeaudio	PROPN
aiti-4286	149	32	skype	skype	PROPN
aiti-4286	149	33	skypevideo	skypevideo	PROPN
aiti-4286	149	34	youtube	youtube	PROPN
aiti-4286	149	35	youtube	youtube	NOUN
aiti-4286	149	36	table	table	NOUN
aiti-4286	149	37	2	2	NUM
aiti-4286	149	38	examples	example	NOUN
aiti-4286	149	39	of	of	ADP
aiti-4286	149	40	selected	select	VERB
aiti-4286	149	41	features	feature	NOUN
aiti-4286	149	42	and	and	CCONJ
aiti-4286	149	43	labels	label	VERB
aiti-4286	149	44	data	datum	NOUN
aiti-4286	149	45	#	#	NOUN
aiti-4286	149	46	top1	top1	PROPN
aiti-4286	149	47	top2	top2	PROPN
aiti-4286	149	48	top3	top3	PROPN
aiti-4286	149	49	top4	top4	PROPN
aiti-4286	149	50	top5	top5	PROPN
aiti-4286	149	51	top6	top6	PROPN
aiti-4286	149	52	…	…	PUNCT
aiti-4286	149	53	top305	top305	PROPN
aiti-4286	149	54	other	other	ADJ
aiti-4286	149	55	byte	byte	NOUN
aiti-4286	149	56	count	count	NOUN
aiti-4286	149	57	packet	packet	NOUN
aiti-4286	149	58	count	count	NOUN
aiti-4286	149	59	labels	label	NOUN
aiti-4286	149	60	1	1	NUM
aiti-4286	149	61	0	0	NUM
aiti-4286	149	62	0	0	NUM
aiti-4286	149	63	0	0	NUM
aiti-4286	149	64	0	0	NUM
aiti-4286	149	65	0	0	NUM
aiti-4286	149	66	0	0	NUM
aiti-4286	149	67	…	…	PUNCT
aiti-4286	149	68	0	0	NUM
aiti-4286	149	69	0	0	NUM
aiti-4286	149	70	0.08	0.08	NUM
aiti-4286	149	71	0.08	0.08	NUM
aiti-4286	149	72	skypeaudio	skypeaudio	NOUN
aiti-4286	149	73	2	2	NUM
aiti-4286	149	74	1	1	NUM
aiti-4286	149	75	0	0	NUM
aiti-4286	149	76	0	0	NUM
aiti-4286	149	77	0	0	NUM
aiti-4286	149	78	0	0	NUM
aiti-4286	149	79	0	0	NUM
aiti-4286	149	80	…	…	PUNCT
aiti-4286	149	81	0	0	NUM
aiti-4286	149	82	0	0	NUM
aiti-4286	149	83	5.87	5.87	NUM
aiti-4286	149	84	0.16	0.16	NUM
aiti-4286	149	85	skypeaudio	skypeaudio	NOUN
aiti-4286	149	86	3	3	NUM
aiti-4286	149	87	0	0	NUM
aiti-4286	149	88	0	0	NUM
aiti-4286	149	89	0	0	NUM
aiti-4286	149	90	0	0	NUM
aiti-4286	149	91	0	0	NUM
aiti-4286	149	92	0	0	NUM
aiti-4286	149	93	…	…	SYM
aiti-4286	149	94	0	0	NUM
aiti-4286	149	95	0	0	NUM
aiti-4286	149	96	0.12	0.12	NUM
aiti-4286	149	97	0.12	0.12	NUM
aiti-4286	149	98	skypeaudio	skypeaudio	NOUN
aiti-4286	149	99	4	4	NUM
aiti-4286	149	100	1	1	NUM
aiti-4286	149	101	0	0	NUM
aiti-4286	149	102	0	0	NUM
aiti-4286	149	103	0	0	NUM
aiti-4286	149	104	0	0	NUM
aiti-4286	149	105	0	0	NUM
aiti-4286	149	106	…	…	PUNCT
aiti-4286	149	107	0	0	NUM
aiti-4286	149	108	0	0	NUM
aiti-4286	149	109	7.57	7.57	NUM
aiti-4286	149	110	0.14	0.14	NUM
aiti-4286	149	111	skypeaudio	skypeaudio	NOUN
aiti-4286	149	112	5	5	NUM
aiti-4286	149	113	1	1	NUM
aiti-4286	149	114	0	0	NUM
aiti-4286	149	115	0	0	NUM
aiti-4286	149	116	0	0	NUM
aiti-4286	149	117	0	0	NUM
aiti-4286	149	118	0	0	NUM
aiti-4286	149	119	…	…	SYM
aiti-4286	149	120	0	0	NUM
aiti-4286	149	121	0	0	NUM
aiti-4286	149	122	8.12	8.12	NUM
aiti-4286	149	123	0.15	0.15	NUM
aiti-4286	149	124	skypeaudio	skypeaudio	NOUN
aiti-4286	149	125	6	6	NUM
aiti-4286	149	126	0	0	NUM
aiti-4286	149	127	0	0	NUM
aiti-4286	149	128	0	0	NUM
aiti-4286	149	129	0	0	NUM
aiti-4286	149	130	0	0	NUM
aiti-4286	149	131	0	0	NUM
aiti-4286	149	132	…	…	PUNCT
aiti-4286	149	133	0	0	NUM
aiti-4286	149	134	0	0	NUM
aiti-4286	149	135	0.06	0.06	NUM
aiti-4286	149	136	0.06	0.06	NUM
aiti-4286	149	137	netflix	netflix	NOUN
aiti-4286	149	138	7	7	NUM
aiti-4286	149	139	1	1	NUM
aiti-4286	149	140	0	0	NUM
aiti-4286	149	141	0	0	NUM
aiti-4286	149	142	0	0	NUM
aiti-4286	149	143	0	0	NUM
aiti-4286	149	144	0	0	NUM
aiti-4286	149	145	…	…	SYM
aiti-4286	149	146	0	0	NUM
aiti-4286	149	147	0	0	NUM
aiti-4286	149	148	152.17	152.17	NUM
aiti-4286	149	149	0.9	0.9	NUM
aiti-4286	149	150	skypevideo	skypevideo	NOUN
aiti-4286	149	151	…	…	PUNCT
aiti-4286	149	152	…	…	PUNCT
aiti-4286	149	153	…	…	PUNCT
aiti-4286	149	154	…	…	PUNCT
aiti-4286	149	155	…	…	PUNCT
aiti-4286	149	156	…	…	PUNCT
aiti-4286	149	157	…	…	PUNCT
aiti-4286	149	158	…	…	PUNCT
aiti-4286	149	159	…	…	PUNCT
aiti-4286	149	160	…	…	PUNCT
aiti-4286	149	161	…	…	PUNCT
aiti-4286	149	162	…	…	PUNCT
aiti-4286	149	163	…	…	PUNCT
aiti-4286	149	164	8	8	NUM
aiti-4286	149	165	0	0	NUM
aiti-4286	149	166	0	0	NUM
aiti-4286	149	167	0	0	NUM
aiti-4286	149	168	0	0	NUM
aiti-4286	149	169	0	0	NUM
aiti-4286	149	170	0	0	NUM
aiti-4286	149	171	…	…	PUNCT
aiti-4286	149	172	0	0	NUM
aiti-4286	149	173	0	0	NUM
aiti-4286	149	174	0.09	0.09	NUM
aiti-4286	149	175	0.09	0.09	NUM
aiti-4286	149	176	hangoutchat	hangoutchat	NOUN
aiti-4286	149	177	9	9	NUM
aiti-4286	149	178	0	0	NUM
aiti-4286	149	179	0	0	NUM
aiti-4286	149	180	0	0	NUM
aiti-4286	149	181	0	0	NUM
aiti-4286	149	182	0	0	NUM
aiti-4286	149	183	0	0	NUM
aiti-4286	149	184	…	…	PUNCT
aiti-4286	149	185	0	0	NUM
aiti-4286	149	186	0	0	NUM
aiti-4286	149	187	0.21	0.21	NUM
aiti-4286	149	188	0.1	0.1	NUM
aiti-4286	149	189	hangoutchat	hangoutchat	PROPN
aiti-4286	149	190	10	10	NUM
aiti-4286	149	191	0	0	NUM
aiti-4286	149	192	0	0	NUM
aiti-4286	149	193	0	0	NUM
aiti-4286	149	194	0	0	NUM
aiti-4286	149	195	0	0	NUM
aiti-4286	149	196	0	0	NUM
aiti-4286	149	197	…	…	PUNCT
aiti-4286	149	198	0	0	NUM
aiti-4286	149	199	0	0	NUM
aiti-4286	149	200	10.89	10.89	NUM
aiti-4286	149	201	0.06	0.06	NUM
aiti-4286	149	202	netflix	netflix	NOUN
aiti-4286	149	203	11	11	NUM
aiti-4286	149	204	0	0	NUM
aiti-4286	149	205	0	0	NUM
aiti-4286	149	206	0	0	NUM
aiti-4286	149	207	0	0	NUM
aiti-4286	149	208	0	0	NUM
aiti-4286	149	209	0	0	NUM
aiti-4286	149	210	…	…	PUNCT
aiti-4286	149	211	0	0	NUM
aiti-4286	149	212	0	0	NUM
aiti-4286	149	213	0.06	0.06	NUM
aiti-4286	149	214	0.06	0.06	NUM
aiti-4286	149	215	youtube	youtube	NOUN
aiti-4286	149	216	12	12	NUM
aiti-4286	149	217	0	0	NUM
aiti-4286	149	218	0	0	NUM
aiti-4286	149	219	0	0	NUM
aiti-4286	149	220	0	0	NUM
aiti-4286	149	221	0	0	NUM
aiti-4286	149	222	0	0	NUM
aiti-4286	149	223	…	…	PUNCT
aiti-4286	149	224	0	0	NUM
aiti-4286	149	225	0	0	NUM
aiti-4286	149	226	0.08	0.08	NUM
aiti-4286	149	227	0.08	0.08	NUM
aiti-4286	149	228	skypeaudio	skypeaudio	NOUN
aiti-4286	149	229	13	13	NUM
aiti-4286	149	230	0	0	NUM
aiti-4286	149	231	0	0	NUM
aiti-4286	149	232	0	0	NUM
aiti-4286	149	233	0	0	NUM
aiti-4286	149	234	0	0	NUM
aiti-4286	149	235	0	0	NUM
aiti-4286	149	236	…	…	SYM
aiti-4286	149	237	0	0	NUM
aiti-4286	149	238	0	0	NUM
aiti-4286	149	239	1.53	1.53	NUM
aiti-4286	149	240	6	6	NUM
aiti-4286	149	241	gmailchat	gmailchat	PRON
aiti-4286	149	242	14	14	NUM
aiti-4286	149	243	0	0	NUM
aiti-4286	149	244	0	0	NUM
aiti-4286	149	245	0	0	NUM
aiti-4286	149	246	1	1	NUM
aiti-4286	149	247	0	0	NUM
aiti-4286	149	248	0	0	NUM
aiti-4286	149	249	…	…	PUNCT
aiti-4286	149	250	0	0	NUM
aiti-4286	149	251	0	0	NUM
aiti-4286	149	252	1.36	1.36	NUM
aiti-4286	149	253	9	9	NUM
aiti-4286	149	254	gmailchat	gmailchat	PRON
aiti-4286	149	255	15	15	NUM
aiti-4286	149	256	0	0	NUM
aiti-4286	149	257	0	0	NUM
aiti-4286	149	258	0	0	NUM
aiti-4286	149	259	0	0	NUM
aiti-4286	149	260	0	0	NUM
aiti-4286	149	261	0	0	NUM
aiti-4286	149	262	…	…	PUNCT
aiti-4286	149	263	0	0	NUM
aiti-4286	149	264	0	0	NUM
aiti-4286	149	265	0.06	0.06	NUM
aiti-4286	149	266	1	1	NUM
aiti-4286	149	267	netflix	netflix	NOUN
aiti-4286	149	268	16	16	NUM
aiti-4286	149	269	0	0	NUM
aiti-4286	149	270	0	0	NUM
aiti-4286	149	271	0	0	NUM
aiti-4286	149	272	0	0	NUM
aiti-4286	149	273	0	0	NUM
aiti-4286	149	274	0	0	NUM
aiti-4286	149	275	…	…	PUNCT
aiti-4286	149	276	0	0	NUM
aiti-4286	149	277	0	0	NUM
aiti-4286	149	278	2.54	2.54	NUM
aiti-4286	149	279	7	7	NUM
aiti-4286	149	280	facebookchat	facebookchat	NOUN
aiti-4286	149	281	17	17	NUM
aiti-4286	149	282	0	0	NUM
aiti-4286	149	283	1	1	NUM
aiti-4286	149	284	0	0	NUM
aiti-4286	149	285	0	0	NUM
aiti-4286	149	286	0	0	NUM
aiti-4286	149	287	0	0	NUM
aiti-4286	149	288	…	…	SYM
aiti-4286	149	289	0	0	NUM
aiti-4286	149	290	0	0	NUM
aiti-4286	149	291	0.5	0.5	NUM
aiti-4286	149	292	1	1	NUM
aiti-4286	149	293	gmailchat	gmailchat	NOUN
aiti-4286	149	294	…	…	PUNCT
aiti-4286	149	295	…	…	PUNCT
aiti-4286	149	296	…	…	PUNCT
aiti-4286	149	297	…	…	PUNCT
aiti-4286	149	298	…	…	PUNCT
aiti-4286	149	299	…	…	PUNCT
aiti-4286	149	300	…	…	PUNCT
aiti-4286	149	301	…	…	PUNCT
aiti-4286	149	302	…	…	PUNCT
aiti-4286	149	303	…	…	PUNCT
aiti-4286	149	304	…	…	PUNCT
aiti-4286	149	305	…	…	PUNCT
aiti-4286	149	306	…	…	PUNCT
aiti-4286	149	307	advances	advance	NOUN
aiti-4286	149	308	in	in	ADP
aiti-4286	149	309	technology	technology	NOUN
aiti-4286	149	310	innovation	innovation	NOUN
aiti-4286	149	311	,	,	PUNCT
aiti-4286	149	312	vol	vol	NOUN
aiti-4286	149	313	.	.	PROPN
aiti-4286	150	1	5	5	NUM
aiti-4286	150	2	,	,	PUNCT
aiti-4286	150	3	no	no	INTJ
aiti-4286	150	4	.	.	NOUN
aiti-4286	150	5	4	4	NUM
aiti-4286	150	6	,	,	PUNCT
aiti-4286	150	7	2020	2020	NUM
aiti-4286	150	8	,	,	PUNCT
aiti-4286	150	9	pp	pp	ADV
aiti-4286	150	10	.	.	PUNCT
aiti-4286	151	1	216	216	NUM
aiti-4286	151	2	-	-	SYM
aiti-4286	151	3	229	229	NUM
aiti-4286	151	4	222	222	NUM
aiti-4286	151	5	so	so	ADV
aiti-4286	151	6	,	,	PUNCT
aiti-4286	151	7	we	we	PRON
aiti-4286	151	8	will	will	AUX
aiti-4286	151	9	have	have	VERB
aiti-4286	151	10	seven	seven	NUM
aiti-4286	151	11	labels	label	NOUN
aiti-4286	151	12	for	for	ADP
aiti-4286	151	13	all	all	DET
aiti-4286	151	14	deep	deep	ADJ
aiti-4286	151	15	learning	learning	NOUN
aiti-4286	151	16	models	model	NOUN
aiti-4286	151	17	.	.	PUNCT
aiti-4286	152	1	the	the	DET
aiti-4286	152	2	total	total	ADJ
aiti-4286	152	3	amount	amount	NOUN
aiti-4286	152	4	of	of	ADP
aiti-4286	152	5	training	training	NOUN
aiti-4286	152	6	dataset	dataset	NOUN
aiti-4286	152	7	is	be	AUX
aiti-4286	152	8	11090	11090	NUM
aiti-4286	152	9	,	,	PUNCT
aiti-4286	152	10	with	with	ADP
aiti-4286	152	11	which	which	PRON
aiti-4286	152	12	90	90	NUM
aiti-4286	152	13	%	%	NOUN
aiti-4286	152	14	of	of	ADP
aiti-4286	152	15	them	they	PRON
aiti-4286	152	16	is	be	AUX
aiti-4286	152	17	used	use	VERB
aiti-4286	152	18	for	for	ADP
aiti-4286	152	19	the	the	DET
aiti-4286	152	20	deep	deep	ADJ
aiti-4286	152	21	learning	learning	NOUN
aiti-4286	152	22	training	training	NOUN
aiti-4286	152	23	process	process	NOUN
aiti-4286	152	24	and	and	CCONJ
aiti-4286	152	25	10	10	NUM
aiti-4286	152	26	%	%	NOUN
aiti-4286	152	27	of	of	ADP
aiti-4286	152	28	them	they	PRON
aiti-4286	152	29	is	be	AUX
aiti-4286	152	30	used	use	VERB
aiti-4286	152	31	for	for	ADP
aiti-4286	152	32	the	the	DET
aiti-4286	152	33	deep	deep	ADJ
aiti-4286	152	34	learning	learning	NOUN
aiti-4286	152	35	validation	validation	NOUN
aiti-4286	152	36	process	process	NOUN
aiti-4286	152	37	.	.	PUNCT
aiti-4286	153	1	the	the	DET
aiti-4286	153	2	total	total	ADJ
aiti-4286	153	3	amount	amount	NOUN
aiti-4286	153	4	of	of	ADP
aiti-4286	153	5	testing	testing	NOUN
aiti-4286	153	6	dataset	dataset	NOUN
aiti-4286	153	7	is	be	AUX
aiti-4286	153	8	11091	11091	NUM
aiti-4286	153	9	,	,	PUNCT
aiti-4286	153	10	which	which	PRON
aiti-4286	153	11	is	be	AUX
aiti-4286	153	12	also	also	ADV
aiti-4286	153	13	injected	inject	VERB
aiti-4286	153	14	into	into	ADP
aiti-4286	153	15	tcpreplay	tcpreplay	NOUN
aiti-4286	153	16	and	and	CCONJ
aiti-4286	153	17	then	then	ADV
aiti-4286	153	18	replayed	replay	VERB
aiti-4286	153	19	one	one	NUM
aiti-4286	153	20	by	by	ADP
aiti-4286	153	21	one	one	NUM
aiti-4286	153	22	to	to	PART
aiti-4286	153	23	emulate	emulate	VERB
aiti-4286	153	24	the	the	DET
aiti-4286	153	25	online	online	ADJ
aiti-4286	153	26	traffic	traffic	NOUN
aiti-4286	153	27	in	in	ADP
aiti-4286	153	28	the	the	DET
aiti-4286	153	29	sdn	sdn	NOUN
aiti-4286	153	30	network	network	NOUN
aiti-4286	153	31	.	.	PUNCT
aiti-4286	154	1	because	because	SCONJ
aiti-4286	154	2	we	we	PRON
aiti-4286	154	3	emulate	emulate	VERB
aiti-4286	154	4	the	the	DET
aiti-4286	154	5	real	real	ADJ
aiti-4286	154	6	traffic	traffic	NOUN
aiti-4286	154	7	by	by	ADP
aiti-4286	154	8	using	use	VERB
aiti-4286	154	9	the	the	DET
aiti-4286	154	10	iscx	iscx	NOUN
aiti-4286	154	11	open	open	ADJ
aiti-4286	154	12	-	-	PUNCT
aiti-4286	154	13	source	source	NOUN
aiti-4286	154	14	dataset	dataset	NOUN
aiti-4286	154	15	,	,	PUNCT
aiti-4286	154	16	the	the	DET
aiti-4286	154	17	dataset	dataset	NOUN
aiti-4286	154	18	packets	packet	NOUN
aiti-4286	154	19	are	be	AUX
aiti-4286	154	20	handled	handle	VERB
aiti-4286	154	21	as	as	ADP
aiti-4286	154	22	tcpreplay	tcpreplay	NOUN
aiti-4286	154	23	pcap	pcap	NOUN
aiti-4286	154	24	packets	packet	NOUN
aiti-4286	154	25	.	.	PUNCT
aiti-4286	155	1	the	the	DET
aiti-4286	155	2	packet_in	packet_in	NOUN
aiti-4286	155	3	messages	message	NOUN
aiti-4286	155	4	due	due	ADJ
aiti-4286	155	5	to	to	ADP
aiti-4286	155	6	the	the	DET
aiti-4286	155	7	flow	flow	NOUN
aiti-4286	155	8	mismatch	mismatch	NOUN
aiti-4286	155	9	in	in	ADP
aiti-4286	155	10	ovs	ovs	NOUN
aiti-4286	155	11	switch	switch	NOUN
aiti-4286	155	12	and	and	CCONJ
aiti-4286	155	13	the	the	DET
aiti-4286	155	14	periodical	periodical	ADJ
aiti-4286	155	15	statistics	statistic	NOUN
aiti-4286	155	16	data	datum	NOUN
aiti-4286	155	17	responded	respond	VERB
aiti-4286	155	18	from	from	ADP
aiti-4286	155	19	ovs	ovs	NOUN
aiti-4286	155	20	switch	switch	NOUN
aiti-4286	155	21	to	to	ADP
aiti-4286	155	22	the	the	DET
aiti-4286	155	23	controller	controller	NOUN
aiti-4286	155	24	are	be	AUX
aiti-4286	155	25	collected	collect	VERB
aiti-4286	155	26	on	on	ADP
aiti-4286	155	27	the	the	DET
aiti-4286	155	28	ryu	ryu	PROPN
aiti-4286	155	29	controller	controller	NOUN
aiti-4286	155	30	.	.	PUNCT
aiti-4286	156	1	the	the	DET
aiti-4286	156	2	server	server	NOUN
aiti-4286	156	3	ip	ip	NOUN
aiti-4286	156	4	addresses	address	NOUN
aiti-4286	156	5	and	and	CCONJ
aiti-4286	156	6	transport	transport	NOUN
aiti-4286	156	7	port	port	NOUN
aiti-4286	156	8	numbers	number	NOUN
aiti-4286	156	9	in	in	ADP
aiti-4286	156	10	each	each	DET
aiti-4286	156	11	flow	flow	NOUN
aiti-4286	156	12	and	and	CCONJ
aiti-4286	156	13	the	the	DET
aiti-4286	156	14	byte	byte	NOUN
aiti-4286	156	15	counts	count	NOUN
aiti-4286	156	16	and	and	CCONJ
aiti-4286	156	17	packet	packet	NOUN
aiti-4286	156	18	counts	count	NOUN
aiti-4286	156	19	collected	collect	VERB
aiti-4286	156	20	from	from	ADP
aiti-4286	156	21	statistics	statistic	NOUN
aiti-4286	156	22	data	datum	NOUN
aiti-4286	156	23	are	be	AUX
aiti-4286	156	24	selected	select	VERB
aiti-4286	156	25	as	as	ADP
aiti-4286	156	26	the	the	DET
aiti-4286	156	27	deep	deep	ADJ
aiti-4286	156	28	learning	learning	NOUN
aiti-4286	156	29	features	feature	NOUN
aiti-4286	156	30	in	in	ADP
aiti-4286	156	31	our	our	PRON
aiti-4286	156	32	designed	design	VERB
aiti-4286	156	33	models	model	NOUN
aiti-4286	156	34	.	.	PUNCT
aiti-4286	157	1	the	the	DET
aiti-4286	157	2	server	server	NOUN
aiti-4286	157	3	ip	ip	NOUN
aiti-4286	157	4	addresses	address	NOUN
aiti-4286	157	5	and	and	CCONJ
aiti-4286	157	6	transport	transport	NOUN
aiti-4286	157	7	port	port	NOUN
aiti-4286	157	8	numbers	number	NOUN
aiti-4286	157	9	are	be	AUX
aiti-4286	157	10	handled	handle	VERB
aiti-4286	157	11	using	use	VERB
aiti-4286	157	12	the	the	DET
aiti-4286	157	13	one	one	NUM
aiti-4286	157	14	-	-	PUNCT
aiti-4286	157	15	hot	hot	ADJ
aiti-4286	157	16	input	input	NOUN
aiti-4286	157	17	scheme	scheme	NOUN
aiti-4286	157	18	.	.	PUNCT
aiti-4286	158	1	table	table	NOUN
aiti-4286	158	2	2	2	NUM
aiti-4286	158	3	shows	show	VERB
aiti-4286	158	4	the	the	DET
aiti-4286	158	5	examples	example	NOUN
aiti-4286	158	6	of	of	ADP
aiti-4286	158	7	the	the	DET
aiti-4286	158	8	selected	select	VERB
aiti-4286	158	9	features	feature	NOUN
aiti-4286	158	10	and	and	CCONJ
aiti-4286	158	11	labels	label	NOUN
aiti-4286	158	12	in	in	ADP
aiti-4286	158	13	our	our	PRON
aiti-4286	158	14	designed	design	VERB
aiti-4286	158	15	application	application	NOUN
aiti-4286	158	16	-	-	PUNCT
aiti-4286	158	17	based	base	VERB
aiti-4286	158	18	deep	deep	ADJ
aiti-4286	158	19	learning	learning	NOUN
aiti-4286	158	20	models	model	NOUN
aiti-4286	158	21	.	.	PUNCT
aiti-4286	159	1	the	the	DET
aiti-4286	159	2	top	top	ADJ
aiti-4286	159	3	305	305	NUM
aiti-4286	159	4	most	most	ADV
aiti-4286	159	5	frequent	frequent	ADJ
aiti-4286	159	6	server	server	NOUN
aiti-4286	159	7	ip	ip	NOUN
aiti-4286	159	8	addresses	address	NOUN
aiti-4286	159	9	and	and	CCONJ
aiti-4286	159	10	transport	transport	NOUN
aiti-4286	159	11	port	port	NOUN
aiti-4286	159	12	numbers	number	NOUN
aiti-4286	159	13	are	be	AUX
aiti-4286	159	14	selected	select	VERB
aiti-4286	159	15	as	as	ADP
aiti-4286	159	16	the	the	DET
aiti-4286	159	17	one	one	NUM
aiti-4286	159	18	-	-	PUNCT
aiti-4286	159	19	hot	hot	ADJ
aiti-4286	159	20	input	input	NOUN
aiti-4286	159	21	for	for	ADP
aiti-4286	159	22	deep	deep	ADJ
aiti-4286	159	23	learning	learning	NOUN
aiti-4286	159	24	models	model	NOUN
aiti-4286	159	25	.	.	PUNCT
aiti-4286	160	1	the	the	DET
aiti-4286	160	2	other	other	ADJ
aiti-4286	160	3	column	column	NOUN
aiti-4286	160	4	in	in	ADP
aiti-4286	160	5	one	one	NUM
aiti-4286	160	6	-	-	PUNCT
aiti-4286	160	7	hot	hot	ADJ
aiti-4286	160	8	input	input	NOUN
aiti-4286	160	9	is	be	AUX
aiti-4286	160	10	used	use	VERB
aiti-4286	160	11	for	for	ADP
aiti-4286	160	12	any	any	DET
aiti-4286	160	13	other	other	ADJ
aiti-4286	160	14	ip	ip	NOUN
aiti-4286	160	15	or	or	CCONJ
aiti-4286	160	16	port	port	NOUN
aiti-4286	160	17	number	number	NOUN
aiti-4286	160	18	,	,	PUNCT
aiti-4286	160	19	not	not	PART
aiti-4286	160	20	in	in	ADP
aiti-4286	160	21	the	the	DET
aiti-4286	160	22	top	top	ADJ
aiti-4286	160	23	305	305	NUM
aiti-4286	160	24	most	most	ADV
aiti-4286	160	25	frequent	frequent	ADJ
aiti-4286	160	26	lists	list	NOUN
aiti-4286	160	27	.	.	PUNCT
aiti-4286	161	1	3.3	3.3	NUM
aiti-4286	161	2	.	.	PUNCT
aiti-4286	162	1	deep	deep	ADJ
aiti-4286	162	2	learning	learning	NOUN
aiti-4286	162	3	model	model	NOUN
aiti-4286	162	4	design	design	NOUN
aiti-4286	162	5	in	in	ADP
aiti-4286	162	6	this	this	DET
aiti-4286	162	7	paper	paper	NOUN
aiti-4286	162	8	,	,	PUNCT
aiti-4286	162	9	we	we	PRON
aiti-4286	162	10	apply	apply	VERB
aiti-4286	162	11	three	three	NUM
aiti-4286	162	12	deep	deep	ADJ
aiti-4286	162	13	learning	learning	NOUN
aiti-4286	162	14	models	model	NOUN
aiti-4286	162	15	,	,	PUNCT
aiti-4286	162	16	including	include	VERB
aiti-4286	162	17	cnn	cnn	PROPN
aiti-4286	162	18	,	,	PUNCT
aiti-4286	162	19	mlp	mlp	PROPN
aiti-4286	162	20	,	,	PUNCT
aiti-4286	162	21	and	and	CCONJ
aiti-4286	162	22	sae	sae	PROPN
aiti-4286	162	23	models	model	NOUN
aiti-4286	162	24	,	,	PUNCT
aiti-4286	162	25	for	for	ADP
aiti-4286	162	26	our	our	PRON
aiti-4286	162	27	application	application	NOUN
aiti-4286	162	28	-	-	PUNCT
aiti-4286	162	29	based	base	VERB
aiti-4286	162	30	offline	offline	NOUN
aiti-4286	162	31	and	and	CCONJ
aiti-4286	162	32	online	online	ADJ
aiti-4286	162	33	traffic	traffic	NOUN
aiti-4286	162	34	classification	classification	NOUN
aiti-4286	162	35	.	.	PUNCT
aiti-4286	163	1	3.3.1	3.3.1	X
aiti-4286	163	2	.	.	PUNCT
aiti-4286	163	3	mlp	mlp	NOUN
aiti-4286	163	4	model	model	NOUN
aiti-4286	163	5	input	input	NOUN
aiti-4286	163	6	layer	layer	NOUN
aiti-4286	163	7	ae1	ae1	PROPN
aiti-4286	163	8	hiden	hiden	PROPN
aiti-4286	163	9	ae1	ae1	PROPN
aiti-4286	163	10	output	output	NOUN
aiti-4286	163	11	output	output	NOUN
aiti-4286	163	12	layer	layer	NOUN
aiti-4286	163	13	32	32	NUM
aiti-4286	163	14	units	unit	NOUN
aiti-4286	163	15	ae1	ae1	PROPN
aiti-4286	163	16	input	input	NOUN
aiti-4286	163	17	...	...	PUNCT
aiti-4286	163	18	...	...	PUNCT
aiti-4286	163	19	...	...	PUNCT
aiti-4286	163	20	...	...	PUNCT
aiti-4286	164	1	fig	fig	NOUN
aiti-4286	164	2	.	.	PUNCT
aiti-4286	165	1	2	2	NUM
aiti-4286	165	2	mlp	mlp	NOUN
aiti-4286	165	3	deep	deep	ADJ
aiti-4286	165	4	learning	learning	NOUN
aiti-4286	165	5	in	in	ADP
aiti-4286	165	6	our	our	PRON
aiti-4286	165	7	model	model	NOUN
aiti-4286	165	8	the	the	DET
aiti-4286	165	9	first	first	ADJ
aiti-4286	165	10	deep	deep	ADJ
aiti-4286	165	11	learning	learning	NOUN
aiti-4286	165	12	model	model	NOUN
aiti-4286	165	13	we	we	PRON
aiti-4286	165	14	apply	apply	VERB
aiti-4286	165	15	in	in	ADP
aiti-4286	165	16	this	this	DET
aiti-4286	165	17	research	research	NOUN
aiti-4286	165	18	is	be	AUX
aiti-4286	165	19	the	the	DET
aiti-4286	165	20	multilayer	multilayer	ADJ
aiti-4286	165	21	perceptron	perceptron	PROPN
aiti-4286	165	22	(	(	PUNCT
aiti-4286	165	23	mlp	mlp	PROPN
aiti-4286	165	24	)	)	PUNCT
aiti-4286	165	25	model	model	NOUN
aiti-4286	165	26	.	.	PUNCT
aiti-4286	166	1	the	the	DET
aiti-4286	166	2	designed	design	VERB
aiti-4286	166	3	mlp	mlp	NOUN
aiti-4286	166	4	deep	deep	ADJ
aiti-4286	166	5	learning	learning	PROPN
aiti-4286	166	6	model	model	NOUN
aiti-4286	166	7	,	,	PUNCT
aiti-4286	166	8	shown	show	VERB
aiti-4286	166	9	in	in	ADP
aiti-4286	166	10	fig	fig	NOUN
aiti-4286	166	11	.	.	PUNCT
aiti-4286	167	1	2	2	NUM
aiti-4286	167	2	,	,	PUNCT
aiti-4286	167	3	employs	employ	VERB
aiti-4286	167	4	back	back	ADV
aiti-4286	167	5	-	-	PUNCT
aiti-4286	167	6	propagating	propagate	VERB
aiti-4286	167	7	supervised	supervised	ADJ
aiti-4286	167	8	learning	learn	VERB
aiti-4286	167	9	techniques	technique	NOUN
aiti-4286	167	10	in	in	ADP
aiti-4286	167	11	artificial	artificial	ADJ
aiti-4286	167	12	neural	neural	ADJ
aiti-4286	167	13	networks	network	NOUN
aiti-4286	167	14	.	.	PUNCT
aiti-4286	168	1	it	it	PRON
aiti-4286	168	2	consists	consist	VERB
aiti-4286	168	3	of	of	ADP
aiti-4286	168	4	an	an	DET
aiti-4286	168	5	input	input	NOUN
aiti-4286	168	6	layer	layer	NOUN
aiti-4286	168	7	,	,	PUNCT
aiti-4286	168	8	three	three	NUM
aiti-4286	168	9	hidden	hidden	ADJ
aiti-4286	168	10	layers	layer	NOUN
aiti-4286	168	11	followed	follow	VERB
aiti-4286	168	12	by	by	ADP
aiti-4286	168	13	a	a	DET
aiti-4286	168	14	dropout	dropout	NOUN
aiti-4286	168	15	layer	layer	NOUN
aiti-4286	168	16	,	,	PUNCT
aiti-4286	168	17	and	and	CCONJ
aiti-4286	168	18	an	an	DET
aiti-4286	168	19	output	output	NOUN
aiti-4286	168	20	layer	layer	NOUN
aiti-4286	168	21	.	.	PUNCT
aiti-4286	169	1	the	the	DET
aiti-4286	169	2	input	input	NOUN
aiti-4286	169	3	layer	layer	NOUN
aiti-4286	169	4	consists	consist	VERB
aiti-4286	169	5	of	of	ADP
aiti-4286	169	6	305	305	NUM
aiti-4286	169	7	one	one	NUM
aiti-4286	169	8	-	-	PUNCT
aiti-4286	169	9	hot	hot	ADJ
aiti-4286	169	10	inputs	input	NOUN
aiti-4286	169	11	representing	represent	VERB
aiti-4286	169	12	the	the	DET
aiti-4286	169	13	most	most	ADV
aiti-4286	169	14	frequent	frequent	ADJ
aiti-4286	169	15	server	server	NOUN
aiti-4286	169	16	ip	ip	NOUN
aiti-4286	169	17	addresses	address	NOUN
aiti-4286	169	18	and	and	CCONJ
aiti-4286	169	19	transport	transport	NOUN
aiti-4286	169	20	port	port	NOUN
aiti-4286	169	21	numbers	number	NOUN
aiti-4286	169	22	plus	plus	CCONJ
aiti-4286	169	23	one	one	NUM
aiti-4286	169	24	other	other	ADJ
aiti-4286	169	25	column	column	NOUN
aiti-4286	169	26	one	one	NUM
aiti-4286	169	27	-	-	PUNCT
aiti-4286	169	28	hot	hot	ADJ
aiti-4286	169	29	input	input	NOUN
aiti-4286	169	30	representing	represent	VERB
aiti-4286	169	31	the	the	DET
aiti-4286	169	32	less	less	ADV
aiti-4286	169	33	frequent	frequent	ADJ
aiti-4286	169	34	server	server	NOUN
aiti-4286	169	35	ip	ip	NOUN
aiti-4286	169	36	addresses	address	NOUN
aiti-4286	169	37	and	and	CCONJ
aiti-4286	169	38	port	port	NOUN
aiti-4286	169	39	numbers	number	NOUN
aiti-4286	169	40	from	from	ADP
aiti-4286	169	41	the	the	DET
aiti-4286	169	42	packet_in	packet_in	NOUN
aiti-4286	169	43	headers	header	NOUN
aiti-4286	169	44	.	.	PUNCT
aiti-4286	170	1	besides	besides	SCONJ
aiti-4286	170	2	,	,	PUNCT
aiti-4286	170	3	two	two	NUM
aiti-4286	170	4	inputs	input	NOUN
aiti-4286	170	5	are	be	AUX
aiti-4286	170	6	representing	represent	VERB
aiti-4286	170	7	the	the	DET
aiti-4286	170	8	byte	byte	NOUN
aiti-4286	170	9	counts	count	NOUN
aiti-4286	170	10	and	and	CCONJ
aiti-4286	170	11	packet	packet	NOUN
aiti-4286	170	12	counts	count	NOUN
aiti-4286	170	13	in	in	ADP
aiti-4286	170	14	every	every	DET
aiti-4286	170	15	one	one	NUM
aiti-4286	170	16	-	-	PUNCT
aiti-4286	170	17	second	second	NOUN
aiti-4286	170	18	periodical	periodical	ADJ
aiti-4286	170	19	statistics	statistic	NOUN
aiti-4286	170	20	data	datum	NOUN
aiti-4286	170	21	.	.	PUNCT
aiti-4286	171	1	each	each	PRON
aiti-4286	171	2	of	of	ADP
aiti-4286	171	3	the	the	DET
aiti-4286	171	4	three	three	NUM
aiti-4286	171	5	hidden	hidden	ADJ
aiti-4286	171	6	layers	layer	NOUN
aiti-4286	171	7	is	be	AUX
aiti-4286	171	8	composed	compose	VERB
aiti-4286	171	9	of	of	ADP
aiti-4286	171	10	256	256	NUM
aiti-4286	171	11	neurons	neuron	NOUN
aiti-4286	171	12	.	.	PUNCT
aiti-4286	172	1	the	the	DET
aiti-4286	172	2	dropout	dropout	NOUN
aiti-4286	172	3	layer	layer	NOUN
aiti-4286	172	4	is	be	AUX
aiti-4286	172	5	used	use	VERB
aiti-4286	172	6	to	to	PART
aiti-4286	172	7	prevent	prevent	VERB
aiti-4286	172	8	the	the	DET
aiti-4286	172	9	overfitting	overfitte	VERB
aiti-4286	172	10	issue	issue	NOUN
aiti-4286	172	11	.	.	PUNCT
aiti-4286	173	1	the	the	DET
aiti-4286	173	2	output	output	NOUN
aiti-4286	173	3	layer	layer	NOUN
aiti-4286	173	4	consists	consist	VERB
aiti-4286	173	5	of	of	ADP
aiti-4286	173	6	seven	seven	NUM
aiti-4286	173	7	neurons	neuron	NOUN
aiti-4286	173	8	,	,	PUNCT
aiti-4286	173	9	and	and	CCONJ
aiti-4286	173	10	the	the	DET
aiti-4286	173	11	softmax	softmax	NOUN
aiti-4286	173	12	function	function	NOUN
aiti-4286	173	13	is	be	AUX
aiti-4286	173	14	applied	apply	VERB
aiti-4286	173	15	as	as	ADP
aiti-4286	173	16	a	a	DET
aiti-4286	173	17	classifier	classifier	NOUN
aiti-4286	173	18	for	for	ADP
aiti-4286	173	19	the	the	DET
aiti-4286	173	20	mlp	mlp	PROPN
aiti-4286	173	21	deep	deep	PROPN
aiti-4286	173	22	learning	learning	PROPN
aiti-4286	173	23	model	model	NOUN
aiti-4286	173	24	.	.	PUNCT
aiti-4286	174	1	3.3.2	3.3.2	NUM
aiti-4286	174	2	.	.	PUNCT
aiti-4286	174	3	sae	sae	PROPN
aiti-4286	174	4	model	model	PROPN
aiti-4286	174	5	in	in	ADP
aiti-4286	174	6	this	this	DET
aiti-4286	174	7	research	research	NOUN
aiti-4286	174	8	,	,	PUNCT
aiti-4286	174	9	we	we	PRON
aiti-4286	174	10	also	also	ADV
aiti-4286	174	11	apply	apply	VERB
aiti-4286	174	12	the	the	DET
aiti-4286	174	13	stacked	stacked	ADJ
aiti-4286	174	14	autoencoder	autoencoder	NOUN
aiti-4286	174	15	(	(	PUNCT
aiti-4286	174	16	sae	sae	PROPN
aiti-4286	174	17	)	)	PUNCT
aiti-4286	174	18	as	as	ADP
aiti-4286	174	19	one	one	NUM
aiti-4286	174	20	of	of	ADP
aiti-4286	174	21	the	the	DET
aiti-4286	174	22	deep	deep	ADJ
aiti-4286	174	23	learning	learning	NOUN
aiti-4286	174	24	training	training	NOUN
aiti-4286	174	25	models	model	NOUN
aiti-4286	174	26	.	.	PUNCT
aiti-4286	175	1	the	the	DET
aiti-4286	175	2	proposed	propose	VERB
aiti-4286	175	3	sae	sae	PROPN
aiti-4286	175	4	architecture	architecture	NOUN
aiti-4286	175	5	,	,	PUNCT
aiti-4286	175	6	containing	contain	VERB
aiti-4286	175	7	one	one	NUM
aiti-4286	175	8	single	single	ADJ
aiti-4286	175	9	encoding	encoding	NOUN
aiti-4286	175	10	and	and	CCONJ
aiti-4286	175	11	decoding	decoding	NOUN
aiti-4286	175	12	,	,	PUNCT
aiti-4286	175	13	is	be	AUX
aiti-4286	175	14	illustrated	illustrate	VERB
aiti-4286	175	15	in	in	ADP
aiti-4286	175	16	fig	fig	NOUN
aiti-4286	175	17	.	.	PUNCT
aiti-4286	176	1	3	3	X
aiti-4286	176	2	.	.	PUNCT
aiti-4286	176	3	the	the	DET
aiti-4286	176	4	encoders	encoder	NOUN
aiti-4286	176	5	of	of	ADP
aiti-4286	176	6	sae	sae	PROPN
aiti-4286	176	7	deep	deep	PROPN
aiti-4286	176	8	learning	learning	PROPN
aiti-4286	176	9	model	model	NOUN
aiti-4286	176	10	,	,	PUNCT
aiti-4286	176	11	used	use	VERB
aiti-4286	176	12	for	for	ADP
aiti-4286	176	13	dimension	dimension	NOUN
aiti-4286	176	14	reduction	reduction	NOUN
aiti-4286	176	15	or	or	CCONJ
aiti-4286	176	16	feature	feature	NOUN
aiti-4286	176	17	extraction	extraction	NOUN
aiti-4286	176	18	,	,	PUNCT
aiti-4286	176	19	contains	contain	VERB
aiti-4286	176	20	32	32	NUM
aiti-4286	176	21	neurons	neuron	NOUN
aiti-4286	176	22	in	in	ADP
aiti-4286	176	23	this	this	DET
aiti-4286	176	24	paper	paper	NOUN
aiti-4286	176	25	.	.	PUNCT
aiti-4286	177	1	advances	advance	NOUN
aiti-4286	177	2	in	in	ADP
aiti-4286	177	3	technology	technology	NOUN
aiti-4286	177	4	innovation	innovation	NOUN
aiti-4286	177	5	,	,	PUNCT
aiti-4286	177	6	vol	vol	NOUN
aiti-4286	177	7	.	.	PROPN
aiti-4286	177	8	5	5	NUM
aiti-4286	177	9	,	,	PUNCT
aiti-4286	177	10	no	no	INTJ
aiti-4286	177	11	.	.	NOUN
aiti-4286	177	12	4	4	NUM
aiti-4286	177	13	,	,	PUNCT
aiti-4286	177	14	2020	2020	NUM
aiti-4286	177	15	,	,	PUNCT
aiti-4286	177	16	pp	pp	ADV
aiti-4286	177	17	.	.	PUNCT
aiti-4286	178	1	216	216	NUM
aiti-4286	178	2	-	-	SYM
aiti-4286	178	3	229	229	NUM
aiti-4286	178	4	223	223	NUM
aiti-4286	178	5	input	input	NOUN
aiti-4286	178	6	layer	layer	NOUN
aiti-4286	178	7	ae1	ae1	PROPN
aiti-4286	178	8	hiden	hiden	PROPN
aiti-4286	178	9	ae1	ae1	PROPN
aiti-4286	178	10	output	output	NOUN
aiti-4286	178	11	output	output	NOUN
aiti-4286	178	12	layer	layer	NOUN
aiti-4286	178	13	32	32	NUM
aiti-4286	178	14	units	unit	NOUN
aiti-4286	178	15	ae1	ae1	PROPN
aiti-4286	178	16	input	input	NOUN
aiti-4286	178	17	...	...	PUNCT
aiti-4286	178	18	...	...	PUNCT
aiti-4286	178	19	...	...	PUNCT
aiti-4286	178	20	...	...	PUNCT
aiti-4286	179	1	fig	fig	NOUN
aiti-4286	179	2	.	.	PUNCT
aiti-4286	180	1	3	3	NUM
aiti-4286	180	2	sae	sae	PROPN
aiti-4286	180	3	deep	deep	ADJ
aiti-4286	180	4	learning	learning	NOUN
aiti-4286	180	5	in	in	ADP
aiti-4286	180	6	our	our	PRON
aiti-4286	180	7	model	model	NOUN
aiti-4286	180	8	3.3.3	3.3.3	NUM
aiti-4286	180	9	.	.	PUNCT
aiti-4286	181	1	cnn	cnn	PROPN
aiti-4286	181	2	model	model	VERB
aiti-4286	181	3	the	the	DET
aiti-4286	181	4	third	third	ADJ
aiti-4286	181	5	deep	deep	ADJ
aiti-4286	181	6	learning	learning	NOUN
aiti-4286	181	7	model	model	NOUN
aiti-4286	181	8	we	we	PRON
aiti-4286	181	9	apply	apply	VERB
aiti-4286	181	10	in	in	ADP
aiti-4286	181	11	our	our	PRON
aiti-4286	181	12	deep	deep	ADJ
aiti-4286	181	13	learning	learning	NOUN
aiti-4286	181	14	training	training	NOUN
aiti-4286	181	15	is	be	AUX
aiti-4286	181	16	the	the	DET
aiti-4286	181	17	cnn	cnn	PROPN
aiti-4286	181	18	model	model	NOUN
aiti-4286	181	19	which	which	PRON
aiti-4286	181	20	is	be	AUX
aiti-4286	181	21	a	a	DET
aiti-4286	181	22	typical	typical	ADJ
aiti-4286	181	23	deep	deep	ADJ
aiti-4286	181	24	learning	learning	NOUN
aiti-4286	181	25	model	model	NOUN
aiti-4286	181	26	used	use	VERB
aiti-4286	181	27	for	for	ADP
aiti-4286	181	28	classification	classification	NOUN
aiti-4286	181	29	.	.	PUNCT
aiti-4286	182	1	the	the	DET
aiti-4286	182	2	designed	design	VERB
aiti-4286	182	3	cnn	cnn	PROPN
aiti-4286	182	4	model	model	NOUN
aiti-4286	182	5	is	be	AUX
aiti-4286	182	6	specified	specify	VERB
aiti-4286	182	7	in	in	ADP
aiti-4286	182	8	fig	fig	NOUN
aiti-4286	182	9	.	.	PUNCT
aiti-4286	183	1	4	4	NUM
aiti-4286	183	2	which	which	PRON
aiti-4286	183	3	consists	consist	VERB
aiti-4286	183	4	of	of	ADP
aiti-4286	183	5	three	three	NUM
aiti-4286	183	6	convolution	convolution	NOUN
aiti-4286	183	7	layers	layer	NOUN
aiti-4286	183	8	,	,	PUNCT
aiti-4286	183	9	three	three	NUM
aiti-4286	183	10	max	max	NOUN
aiti-4286	183	11	-	-	PUNCT
aiti-4286	183	12	pooling	pool	VERB
aiti-4286	183	13	layers	layer	NOUN
aiti-4286	183	14	as	as	ADV
aiti-4286	183	15	well	well	ADV
aiti-4286	183	16	as	as	ADP
aiti-4286	183	17	one	one	NUM
aiti-4286	183	18	fully	fully	ADV
aiti-4286	183	19	connected	connected	ADJ
aiti-4286	183	20	layer	layer	NOUN
aiti-4286	183	21	with	with	ADP
aiti-4286	183	22	relu	relu	NOUN
aiti-4286	183	23	function	function	NOUN
aiti-4286	183	24	acting	act	VERB
aiti-4286	183	25	as	as	ADP
aiti-4286	183	26	an	an	DET
aiti-4286	183	27	activation	activation	NOUN
aiti-4286	183	28	function	function	NOUN
aiti-4286	183	29	,	,	PUNCT
aiti-4286	183	30	followed	follow	VERB
aiti-4286	183	31	by	by	ADP
aiti-4286	183	32	a	a	DET
aiti-4286	183	33	dropout	dropout	NOUN
aiti-4286	183	34	layer	layer	NOUN
aiti-4286	183	35	and	and	CCONJ
aiti-4286	183	36	an	an	DET
aiti-4286	183	37	output	output	NOUN
aiti-4286	183	38	layer	layer	NOUN
aiti-4286	183	39	.	.	PUNCT
aiti-4286	184	1	the	the	DET
aiti-4286	184	2	convolution	convolution	NOUN
aiti-4286	184	3	layer	layer	NOUN
aiti-4286	184	4	uses	use	VERB
aiti-4286	184	5	64	64	NUM
aiti-4286	184	6	filters	filter	NOUN
aiti-4286	184	7	to	to	PART
aiti-4286	184	8	process	process	VERB
aiti-4286	184	9	input	input	NOUN
aiti-4286	184	10	data	datum	NOUN
aiti-4286	184	11	.	.	PUNCT
aiti-4286	185	1	again	again	ADV
aiti-4286	185	2	,	,	PUNCT
aiti-4286	185	3	the	the	DET
aiti-4286	185	4	dropout	dropout	NOUN
aiti-4286	185	5	layer	layer	NOUN
aiti-4286	185	6	is	be	AUX
aiti-4286	185	7	used	use	VERB
aiti-4286	185	8	to	to	PART
aiti-4286	185	9	handle	handle	VERB
aiti-4286	185	10	the	the	DET
aiti-4286	185	11	overfitting	overfitte	VERB
aiti-4286	185	12	issues	issue	NOUN
aiti-4286	185	13	.	.	PUNCT
aiti-4286	186	1	input	input	NOUN
aiti-4286	186	2	layer	layer	NOUN
aiti-4286	186	3	...	...	PUNCT
aiti-4286	187	1	max1	max1	PROPN
aiti-4286	187	2	poolconv1	poolconv1	NOUN
aiti-4286	187	3	layer	layer	NOUN
aiti-4286	187	4	max2	max2	NOUN
aiti-4286	187	5	poolconv2	poolconv2	NOUN
aiti-4286	187	6	layer	layer	NOUN
aiti-4286	187	7	conv3	conv3	NOUN
aiti-4286	187	8	layer	layer	NOUN
aiti-4286	187	9	full	full	ADJ
aiti-4286	187	10	connect	connect	VERB
aiti-4286	187	11	64	64	NUM
aiti-4286	187	12	filter	filter	NOUN
aiti-4286	187	13	64	64	NUM
aiti-4286	187	14	filter	filter	NOUN
aiti-4286	187	15	64	64	NUM
aiti-4286	187	16	filter	filter	NOUN
aiti-4286	187	17	output	output	NOUN
aiti-4286	187	18	layer	layer	NOUN
aiti-4286	187	19	max3	max3	NOUN
aiti-4286	187	20	pool	pool	NOUN
aiti-4286	188	1	d	d	NOUN
aiti-4286	188	2	r	r	NOUN
aiti-4286	188	3	o	o	X
aiti-4286	188	4	p	p	X
aiti-4286	188	5	o	o	X
aiti-4286	188	6	u	u	NOUN
aiti-4286	188	7	t	t	NOUN
aiti-4286	188	8	r	r	NOUN
aiti-4286	188	9	e	e	NOUN
aiti-4286	188	10	lu	lu	NOUN
aiti-4286	188	11	2	2	NUM
aiti-4286	188	12	pool	pool	NOUN
aiti-4286	188	13	size	size	NOUN
aiti-4286	188	14	2	2	NUM
aiti-4286	188	15	pool	pool	NOUN
aiti-4286	188	16	size	size	NOUN
aiti-4286	188	17	2	2	NUM
aiti-4286	188	18	pool	pool	NOUN
aiti-4286	188	19	size	size	NOUN
aiti-4286	188	20	...	...	PUNCT
aiti-4286	188	21	...	...	PUNCT
aiti-4286	188	22	...	...	PUNCT
aiti-4286	188	23	...	...	PUNCT
aiti-4286	188	24	...	...	PUNCT
aiti-4286	188	25	...	...	PUNCT
aiti-4286	189	1	fig	fig	NOUN
aiti-4286	189	2	.	.	PUNCT
aiti-4286	190	1	4	4	NUM
aiti-4286	190	2	cnn	cnn	PROPN
aiti-4286	190	3	deep	deep	ADJ
aiti-4286	190	4	learning	learning	NOUN
aiti-4286	190	5	in	in	ADP
aiti-4286	190	6	our	our	PRON
aiti-4286	190	7	model	model	NOUN
aiti-4286	190	8	3.3.4	3.3.4	NUM
aiti-4286	190	9	.	.	PUNCT
aiti-4286	191	1	deep	deep	ADJ
aiti-4286	191	2	learning	learning	NOUN
aiti-4286	191	3	model	model	NOUN
aiti-4286	191	4	training	training	NOUN
aiti-4286	191	5	parameters	parameter	NOUN
aiti-4286	191	6	the	the	DET
aiti-4286	191	7	training	training	NOUN
aiti-4286	191	8	dataset	dataset	NOUN
aiti-4286	191	9	is	be	AUX
aiti-4286	191	10	divided	divide	VERB
aiti-4286	191	11	in	in	ADP
aiti-4286	191	12	9:1	9:1	NUM
aiti-4286	191	13	ratio	ratio	NOUN
aiti-4286	191	14	into	into	ADP
aiti-4286	191	15	training	training	NOUN
aiti-4286	191	16	and	and	CCONJ
aiti-4286	191	17	verification	verification	NOUN
aiti-4286	191	18	processes	process	NOUN
aiti-4286	191	19	for	for	ADP
aiti-4286	191	20	all	all	DET
aiti-4286	191	21	three	three	NUM
aiti-4286	191	22	mlp	mlp	NOUN
aiti-4286	191	23	,	,	PUNCT
aiti-4286	191	24	ase	ase	NOUN
aiti-4286	191	25	and	and	CCONJ
aiti-4286	191	26	cnn	cnn	PROPN
aiti-4286	191	27	models	model	NOUN
aiti-4286	191	28	in	in	ADP
aiti-4286	191	29	our	our	PRON
aiti-4286	191	30	deep	deep	ADJ
aiti-4286	191	31	learning	learning	NOUN
aiti-4286	191	32	training	training	NOUN
aiti-4286	191	33	processes	process	NOUN
aiti-4286	191	34	.	.	PUNCT
aiti-4286	192	1	the	the	DET
aiti-4286	192	2	training	training	NOUN
aiti-4286	192	3	parameters	parameter	NOUN
aiti-4286	192	4	,	,	PUNCT
aiti-4286	192	5	such	such	ADJ
aiti-4286	192	6	as	as	ADP
aiti-4286	192	7	epochs	epoch	NOUN
aiti-4286	192	8	,	,	PUNCT
aiti-4286	192	9	batch	batch	NOUN
aiti-4286	192	10	size	size	NOUN
aiti-4286	192	11	,	,	PUNCT
aiti-4286	192	12	learning	learn	VERB
aiti-4286	192	13	rate	rate	NOUN
aiti-4286	192	14	,	,	PUNCT
aiti-4286	192	15	as	as	ADV
aiti-4286	192	16	well	well	ADV
aiti-4286	192	17	as	as	ADP
aiti-4286	192	18	optimizers	optimizer	NOUN
aiti-4286	192	19	,	,	PUNCT
aiti-4286	192	20	of	of	ADP
aiti-4286	192	21	our	our	PRON
aiti-4286	192	22	deep	deep	ADJ
aiti-4286	192	23	learning	learning	NOUN
aiti-4286	192	24	models	model	NOUN
aiti-4286	192	25	are	be	AUX
aiti-4286	192	26	tabulated	tabulate	VERB
aiti-4286	192	27	in	in	ADP
aiti-4286	192	28	table	table	NOUN
aiti-4286	192	29	3	3	NUM
aiti-4286	192	30	.	.	PUNCT
aiti-4286	192	31	table	table	NOUN
aiti-4286	192	32	3	3	NUM
aiti-4286	192	33	deep	deep	ADJ
aiti-4286	192	34	learning	learning	NOUN
aiti-4286	192	35	model	model	NOUN
aiti-4286	192	36	training	training	NOUN
aiti-4286	192	37	parameters	parameter	NOUN
aiti-4286	192	38	models	model	NOUN
aiti-4286	192	39	epochs	epoch	NOUN
aiti-4286	192	40	batch	batch	NOUN
aiti-4286	192	41	rate	rate	NOUN
aiti-4286	192	42	optimizers	optimizer	NOUN
aiti-4286	192	43	mlp	mlp	PROPN
aiti-4286	192	44	100	100	NUM
aiti-4286	192	45	512	512	NUM
aiti-4286	192	46	0.01	0.01	NUM
aiti-4286	192	47	adam	adam	PROPN
aiti-4286	192	48	sae	sae	PROPN
aiti-4286	192	49	cnn	cnn	PROPN
aiti-4286	192	50	4	4	X
aiti-4286	192	51	.	.	PUNCT
aiti-4286	192	52	experimental	experimental	ADJ
aiti-4286	192	53	result	result	NOUN
aiti-4286	192	54	and	and	CCONJ
aiti-4286	192	55	analysis	analysis	NOUN
aiti-4286	192	56	4.1	4.1	NUM
aiti-4286	192	57	.	.	PUNCT
aiti-4286	193	1	offline	offline	ADJ
aiti-4286	193	2	training	training	NOUN
aiti-4286	193	3	result	result	NOUN
aiti-4286	193	4	in	in	ADP
aiti-4286	193	5	this	this	DET
aiti-4286	193	6	paper	paper	NOUN
aiti-4286	193	7	,	,	PUNCT
aiti-4286	193	8	we	we	PRON
aiti-4286	193	9	first	first	ADV
aiti-4286	193	10	apply	apply	VERB
aiti-4286	193	11	three	three	NUM
aiti-4286	193	12	deep	deep	ADJ
aiti-4286	193	13	learning	learning	NOUN
aiti-4286	193	14	models	model	NOUN
aiti-4286	193	15	,	,	PUNCT
aiti-4286	193	16	including	include	VERB
aiti-4286	193	17	mlp	mlp	PROPN
aiti-4286	193	18	,	,	PUNCT
aiti-4286	193	19	sae	sae	PROPN
aiti-4286	193	20	,	,	PUNCT
aiti-4286	193	21	and	and	CCONJ
aiti-4286	193	22	cnn	cnn	PROPN
aiti-4286	193	23	models	model	NOUN
aiti-4286	193	24	,	,	PUNCT
aiti-4286	193	25	for	for	ADP
aiti-4286	193	26	our	our	PRON
aiti-4286	193	27	application	application	NOUN
aiti-4286	193	28	-	-	PUNCT
aiti-4286	193	29	based	base	VERB
aiti-4286	193	30	offline	offline	ADJ
aiti-4286	193	31	traffic	traffic	NOUN
aiti-4286	193	32	classification	classification	NOUN
aiti-4286	193	33	.	.	PUNCT
aiti-4286	194	1	for	for	ADP
aiti-4286	194	2	the	the	DET
aiti-4286	194	3	model	model	NOUN
aiti-4286	194	4	training	training	NOUN
aiti-4286	194	5	of	of	ADP
aiti-4286	194	6	offline	offline	ADJ
aiti-4286	194	7	deep	deep	ADJ
aiti-4286	194	8	learning	learning	NOUN
aiti-4286	194	9	processes	process	NOUN
aiti-4286	194	10	,	,	PUNCT
aiti-4286	194	11	the	the	DET
aiti-4286	194	12	training	training	NOUN
aiti-4286	194	13	history	history	NOUN
aiti-4286	194	14	for	for	ADP
aiti-4286	194	15	three	three	NUM
aiti-4286	194	16	different	different	ADJ
aiti-4286	194	17	deep	deep	ADJ
aiti-4286	194	18	learning	learning	NOUN
aiti-4286	194	19	models	model	NOUN
aiti-4286	194	20	is	be	AUX
aiti-4286	194	21	presented	present	VERB
aiti-4286	194	22	in	in	ADP
aiti-4286	194	23	fig	fig	NOUN
aiti-4286	194	24	.	.	PUNCT
aiti-4286	195	1	5	5	X
aiti-4286	195	2	.	.	PUNCT
aiti-4286	195	3	the	the	DET
aiti-4286	195	4	experimental	experimental	ADJ
aiti-4286	195	5	results	result	NOUN
aiti-4286	195	6	of	of	ADP
aiti-4286	195	7	the	the	DET
aiti-4286	195	8	training	training	NOUN
aiti-4286	195	9	history	history	NOUN
aiti-4286	195	10	include	include	VERB
aiti-4286	195	11	the	the	DET
aiti-4286	195	12	accuracy	accuracy	NOUN
aiti-4286	195	13	and	and	CCONJ
aiti-4286	195	14	loss	loss	NOUN
aiti-4286	195	15	advances	advance	NOUN
aiti-4286	195	16	in	in	ADP
aiti-4286	195	17	technology	technology	NOUN
aiti-4286	195	18	innovation	innovation	NOUN
aiti-4286	195	19	,	,	PUNCT
aiti-4286	195	20	vol	vol	NOUN
aiti-4286	195	21	.	.	PROPN
aiti-4286	195	22	5	5	NUM
aiti-4286	195	23	,	,	PUNCT
aiti-4286	195	24	no	no	INTJ
aiti-4286	195	25	.	.	NOUN
aiti-4286	195	26	4	4	NUM
aiti-4286	195	27	,	,	PUNCT
aiti-4286	195	28	2020	2020	NUM
aiti-4286	195	29	,	,	PUNCT
aiti-4286	195	30	pp	pp	ADV
aiti-4286	195	31	.	.	PUNCT
aiti-4286	196	1	216	216	NUM
aiti-4286	196	2	-	-	SYM
aiti-4286	196	3	229	229	NUM
aiti-4286	196	4	224	224	NUM
aiti-4286	196	5	function	function	NOUN
aiti-4286	196	6	evolution	evolution	NOUN
aiti-4286	196	7	for	for	ADP
aiti-4286	196	8	both	both	PRON
aiti-4286	196	9	training	training	NOUN
aiti-4286	196	10	and	and	CCONJ
aiti-4286	196	11	validation	validation	NOUN
aiti-4286	196	12	processes	process	NOUN
aiti-4286	196	13	.	.	PUNCT
aiti-4286	197	1	the	the	DET
aiti-4286	197	2	accuracy	accuracy	NOUN
aiti-4286	197	3	and	and	CCONJ
aiti-4286	197	4	loss	loss	NOUN
aiti-4286	197	5	rate	rate	NOUN
aiti-4286	197	6	within	within	ADP
aiti-4286	197	7	ten	ten	NUM
aiti-4286	197	8	epochs	epoch	NOUN
aiti-4286	197	9	of	of	ADP
aiti-4286	197	10	validation	validation	NOUN
aiti-4286	197	11	process	process	NOUN
aiti-4286	197	12	for	for	ADP
aiti-4286	197	13	cnn	cnn	PROPN
aiti-4286	197	14	deep	deep	ADJ
aiti-4286	197	15	learning	learning	NOUN
aiti-4286	197	16	model	model	NOUN
aiti-4286	197	17	is	be	AUX
aiti-4286	197	18	about	about	ADV
aiti-4286	197	19	94.95	94.95	NUM
aiti-4286	197	20	%	%	NOUN
aiti-4286	197	21	and	and	CCONJ
aiti-4286	197	22	20.26	20.26	NUM
aiti-4286	197	23	%	%	NOUN
aiti-4286	197	24	,	,	PUNCT
aiti-4286	197	25	respectively	respectively	ADV
aiti-4286	197	26	.	.	PUNCT
aiti-4286	198	1	the	the	DET
aiti-4286	198	2	cnn	cnn	PROPN
aiti-4286	198	3	deep	deep	PROPN
aiti-4286	198	4	learning	learning	NOUN
aiti-4286	198	5	model	model	NOUN
aiti-4286	198	6	shows	show	VERB
aiti-4286	198	7	fairly	fairly	ADV
aiti-4286	198	8	steady	steady	ADJ
aiti-4286	198	9	convergence	convergence	NOUN
aiti-4286	198	10	within	within	ADP
aiti-4286	198	11	ten	ten	NUM
aiti-4286	198	12	epochs	epoch	NOUN
aiti-4286	198	13	.	.	PUNCT
aiti-4286	199	1	however	however	ADV
aiti-4286	199	2	,	,	PUNCT
aiti-4286	199	3	the	the	DET
aiti-4286	199	4	loss	loss	NOUN
aiti-4286	199	5	function	function	NOUN
aiti-4286	199	6	of	of	ADP
aiti-4286	199	7	validation	validation	NOUN
aiti-4286	199	8	process	process	NOUN
aiti-4286	199	9	keeps	keep	VERB
aiti-4286	199	10	almost	almost	ADV
aiti-4286	199	11	unchanged	unchanged	ADJ
aiti-4286	199	12	after	after	ADP
aiti-4286	199	13	ten	ten	NUM
aiti-4286	199	14	epochs	epoch	NOUN
aiti-4286	199	15	and	and	CCONJ
aiti-4286	199	16	even	even	ADV
aiti-4286	199	17	goes	go	VERB
aiti-4286	199	18	little	little	ADJ
aiti-4286	199	19	bit	bit	NOUN
aiti-4286	199	20	higher	high	ADJ
aiti-4286	199	21	than	than	ADP
aiti-4286	199	22	that	that	PRON
aiti-4286	199	23	of	of	ADP
aiti-4286	199	24	training	training	NOUN
aiti-4286	199	25	process	process	NOUN
aiti-4286	199	26	.	.	PUNCT
aiti-4286	200	1	this	this	PRON
aiti-4286	200	2	could	could	AUX
aiti-4286	200	3	be	be	AUX
aiti-4286	200	4	due	due	ADJ
aiti-4286	200	5	to	to	ADP
aiti-4286	200	6	the	the	DET
aiti-4286	200	7	overfitting	overfitte	VERB
aiti-4286	200	8	issue	issue	NOUN
aiti-4286	200	9	.	.	PUNCT
aiti-4286	201	1	it	it	PRON
aiti-4286	201	2	might	might	AUX
aiti-4286	201	3	need	need	VERB
aiti-4286	201	4	further	further	ADJ
aiti-4286	201	5	optimization	optimization	NOUN
aiti-4286	201	6	of	of	ADP
aiti-4286	201	7	the	the	DET
aiti-4286	201	8	cnn	cnn	PROPN
aiti-4286	201	9	parameters	parameter	NOUN
aiti-4286	201	10	to	to	PART
aiti-4286	201	11	reduce	reduce	VERB
aiti-4286	201	12	the	the	DET
aiti-4286	201	13	overfitting	overfitte	VERB
aiti-4286	201	14	issue	issue	NOUN
aiti-4286	201	15	.	.	PUNCT
aiti-4286	202	1	fig	fig	NOUN
aiti-4286	202	2	.	.	PUNCT
aiti-4286	203	1	5	5	NUM
aiti-4286	203	2	offline	offline	ADJ
aiti-4286	203	3	training	training	NOUN
aiti-4286	203	4	results	result	NOUN
aiti-4286	203	5	for	for	ADP
aiti-4286	203	6	three	three	NUM
aiti-4286	203	7	different	different	ADJ
aiti-4286	203	8	deep	deep	ADJ
aiti-4286	203	9	learning	learning	NOUN
aiti-4286	203	10	models	model	NOUN
aiti-4286	203	11	the	the	DET
aiti-4286	203	12	accuracy	accuracy	NOUN
aiti-4286	203	13	and	and	CCONJ
aiti-4286	203	14	loss	loss	NOUN
aiti-4286	203	15	rate	rate	NOUN
aiti-4286	203	16	within	within	ADP
aiti-4286	203	17	ten	ten	NUM
aiti-4286	203	18	epochs	epoch	NOUN
aiti-4286	203	19	of	of	ADP
aiti-4286	203	20	validation	validation	NOUN
aiti-4286	203	21	process	process	NOUN
aiti-4286	203	22	for	for	ADP
aiti-4286	203	23	mlp	mlp	PROPN
aiti-4286	203	24	deep	deep	ADJ
aiti-4286	203	25	learning	learning	NOUN
aiti-4286	203	26	model	model	NOUN
aiti-4286	203	27	is	be	AUX
aiti-4286	203	28	about	about	ADV
aiti-4286	203	29	94.95	94.95	NUM
aiti-4286	203	30	%	%	NOUN
aiti-4286	203	31	and	and	CCONJ
aiti-4286	203	32	17.63	17.63	NUM
aiti-4286	203	33	%	%	NOUN
aiti-4286	203	34	,	,	PUNCT
aiti-4286	203	35	respectively	respectively	ADV
aiti-4286	203	36	.	.	PUNCT
aiti-4286	204	1	there	there	PRON
aiti-4286	204	2	are	be	VERB
aiti-4286	204	3	some	some	DET
aiti-4286	204	4	turbulences	turbulence	NOUN
aiti-4286	204	5	in	in	ADP
aiti-4286	204	6	training	training	NOUN
aiti-4286	204	7	and	and	CCONJ
aiti-4286	204	8	validation	validation	NOUN
aiti-4286	204	9	processes	process	NOUN
aiti-4286	204	10	after	after	ADP
aiti-4286	204	11	ten	ten	NUM
aiti-4286	204	12	epochs	epoch	NOUN
aiti-4286	204	13	.	.	PUNCT
aiti-4286	205	1	however	however	ADV
aiti-4286	205	2	,	,	PUNCT
aiti-4286	205	3	it	it	PRON
aiti-4286	205	4	achieves	achieve	VERB
aiti-4286	205	5	steady	steady	ADJ
aiti-4286	205	6	convergence	convergence	NOUN
aiti-4286	205	7	after	after	ADP
aiti-4286	205	8	about	about	ADV
aiti-4286	205	9	30	30	NUM
aiti-4286	205	10	epochs	epoch	NOUN
aiti-4286	205	11	.	.	PUNCT
aiti-4286	206	1	the	the	DET
aiti-4286	206	2	accuracy	accuracy	NOUN
aiti-4286	206	3	and	and	CCONJ
aiti-4286	206	4	loss	loss	NOUN
aiti-4286	206	5	rate	rate	NOUN
aiti-4286	206	6	within	within	ADP
aiti-4286	206	7	ten	ten	NUM
aiti-4286	206	8	epochs	epoch	NOUN
aiti-4286	206	9	of	of	ADP
aiti-4286	206	10	the	the	DET
aiti-4286	206	11	validation	validation	NOUN
aiti-4286	206	12	process	process	NOUN
aiti-4286	206	13	for	for	ADP
aiti-4286	206	14	sae	sae	PROPN
aiti-4286	206	15	deep	deep	ADJ
aiti-4286	206	16	learning	learning	NOUN
aiti-4286	206	17	model	model	NOUN
aiti-4286	206	18	is	be	AUX
aiti-4286	206	19	about	about	ADV
aiti-4286	206	20	94.86	94.86	NUM
aiti-4286	206	21	%	%	NOUN
aiti-4286	206	22	and	and	CCONJ
aiti-4286	206	23	19.638	19.638	NUM
aiti-4286	206	24	%	%	NOUN
aiti-4286	206	25	,	,	PUNCT
aiti-4286	206	26	respectively	respectively	ADV
aiti-4286	206	27	.	.	PUNCT
aiti-4286	207	1	unlike	unlike	ADP
aiti-4286	207	2	mlp	mlp	PROPN
aiti-4286	207	3	model	model	PROPN
aiti-4286	207	4	,	,	PUNCT
aiti-4286	207	5	the	the	DET
aiti-4286	207	6	sae	sae	PROPN
aiti-4286	207	7	deep	deep	PROPN
aiti-4286	207	8	learning	learning	NOUN
aiti-4286	207	9	model	model	NOUN
aiti-4286	207	10	shows	show	VERB
aiti-4286	207	11	fairly	fairly	ADV
aiti-4286	207	12	good	good	ADJ
aiti-4286	207	13	convergence	convergence	NOUN
aiti-4286	207	14	within	within	ADP
aiti-4286	207	15	five	five	NUM
aiti-4286	207	16	to	to	PART
aiti-4286	207	17	ten	ten	NUM
aiti-4286	207	18	epochs	epoch	NOUN
aiti-4286	207	19	.	.	PUNCT
aiti-4286	208	1	this	this	PRON
aiti-4286	208	2	could	could	AUX
aiti-4286	208	3	be	be	AUX
aiti-4286	208	4	due	due	ADJ
aiti-4286	208	5	to	to	ADP
aiti-4286	208	6	the	the	DET
aiti-4286	208	7	fine	fine	ADV
aiti-4286	208	8	-	-	PUNCT
aiti-4286	208	9	tuning	tune	VERB
aiti-4286	208	10	training	training	NOUN
aiti-4286	208	11	mechanism	mechanism	NOUN
aiti-4286	208	12	of	of	ADP
aiti-4286	208	13	the	the	DET
aiti-4286	208	14	sae	sae	PROPN
aiti-4286	208	15	pre	pre	NOUN
aiti-4286	208	16	-	-	NOUN
aiti-4286	208	17	training	training	NOUN
aiti-4286	208	18	.	.	PUNCT
aiti-4286	209	1	however	however	ADV
aiti-4286	209	2	,	,	PUNCT
aiti-4286	209	3	more	more	ADJ
aiti-4286	209	4	training	training	NOUN
aiti-4286	209	5	epochs	epoch	NOUN
aiti-4286	209	6	,	,	PUNCT
aiti-4286	209	7	less	less	ADJ
aiti-4286	209	8	than	than	ADP
aiti-4286	209	9	20	20	NUM
aiti-4286	209	10	epochs	epoch	NOUN
aiti-4286	209	11	,	,	PUNCT
aiti-4286	209	12	are	be	AUX
aiti-4286	209	13	enough	enough	ADJ
aiti-4286	209	14	for	for	SCONJ
aiti-4286	209	15	them	they	PRON
aiti-4286	209	16	to	to	PART
aiti-4286	209	17	obtain	obtain	VERB
aiti-4286	209	18	similar	similar	ADJ
aiti-4286	209	19	error	error	NOUN
aiti-4286	209	20	rates	rate	NOUN
aiti-4286	209	21	.	.	PUNCT
aiti-4286	210	1	advances	advance	NOUN
aiti-4286	210	2	in	in	ADP
aiti-4286	210	3	technology	technology	NOUN
aiti-4286	210	4	innovation	innovation	NOUN
aiti-4286	210	5	,	,	PUNCT
aiti-4286	210	6	vol	vol	NOUN
aiti-4286	210	7	.	.	PROPN
aiti-4286	210	8	5	5	NUM
aiti-4286	210	9	,	,	PUNCT
aiti-4286	210	10	no	no	INTJ
aiti-4286	210	11	.	.	NOUN
aiti-4286	210	12	4	4	NUM
aiti-4286	210	13	,	,	PUNCT
aiti-4286	210	14	2020	2020	NUM
aiti-4286	210	15	,	,	PUNCT
aiti-4286	210	16	pp	pp	ADV
aiti-4286	210	17	.	.	PUNCT
aiti-4286	211	1	216	216	NUM
aiti-4286	211	2	-	-	SYM
aiti-4286	211	3	229	229	NUM
aiti-4286	211	4	225	225	NUM
aiti-4286	211	5	table	table	NOUN
aiti-4286	211	6	4	4	NUM
aiti-4286	211	7	offline	offline	ADJ
aiti-4286	211	8	training	training	NOUN
aiti-4286	211	9	result	result	NOUN
aiti-4286	211	10	for	for	ADP
aiti-4286	211	11	different	different	ADJ
aiti-4286	211	12	models	model	NOUN
aiti-4286	211	13	cnn-1d	cnn-1d	VERB
aiti-4286	211	14	mlp	mlp	PROPN
aiti-4286	211	15	sae	sae	PROPN
aiti-4286	211	16	training	training	NOUN
aiti-4286	211	17	process	process	NOUN
aiti-4286	211	18	accuracy	accuracy	NOUN
aiti-4286	211	19	93.35	93.35	NUM
aiti-4286	211	20	%	%	NOUN
aiti-4286	211	21	93.21	93.21	NUM
aiti-4286	211	22	%	%	NOUN
aiti-4286	211	23	93.13	93.13	NUM
aiti-4286	211	24	%	%	NOUN
aiti-4286	211	25	training	training	NOUN
aiti-4286	211	26	loss	loss	NOUN
aiti-4286	211	27	rate	rate	NOUN
aiti-4286	211	28	16.77	16.77	NUM
aiti-4286	211	29	%	%	NOUN
aiti-4286	211	30	16.40	16.40	NUM
aiti-4286	211	31	%	%	NOUN
aiti-4286	211	32	15.97	15.97	NUM
aiti-4286	211	33	%	%	NOUN
aiti-4286	211	34	validation	validation	NOUN
aiti-4286	211	35	process	process	NOUN
aiti-4286	211	36	accuracy	accuracy	NOUN
aiti-4286	211	37	94.86	94.86	NUM
aiti-4286	211	38	%	%	NOUN
aiti-4286	211	39	94.59	94.59	NUM
aiti-4286	211	40	%	%	NOUN
aiti-4286	211	41	94.86	94.86	NUM
aiti-4286	211	42	%	%	NOUN
aiti-4286	211	43	validation	validation	NOUN
aiti-4286	211	44	loss	loss	NOUN
aiti-4286	211	45	rate	rate	NOUN
aiti-4286	211	46	19.64	19.64	NUM
aiti-4286	211	47	%	%	NOUN
aiti-4286	211	48	15.69	15.69	NUM
aiti-4286	211	49	%	%	NOUN
aiti-4286	211	50	19.64	19.64	NUM
aiti-4286	211	51	%	%	NOUN
aiti-4286	211	52	the	the	DET
aiti-4286	211	53	offline	offline	ADJ
aiti-4286	211	54	training	training	NOUN
aiti-4286	211	55	results	result	NOUN
aiti-4286	211	56	for	for	ADP
aiti-4286	211	57	three	three	NUM
aiti-4286	211	58	different	different	ADJ
aiti-4286	211	59	deep	deep	ADJ
aiti-4286	211	60	learning	learning	NOUN
aiti-4286	211	61	models	model	NOUN
aiti-4286	211	62	,	,	PUNCT
aiti-4286	211	63	mlp	mlp	PROPN
aiti-4286	211	64	,	,	PUNCT
aiti-4286	211	65	sae	sae	PROPN
aiti-4286	211	66	,	,	PUNCT
aiti-4286	211	67	and	and	CCONJ
aiti-4286	211	68	cnn	cnn	PROPN
aiti-4286	211	69	,	,	PUNCT
aiti-4286	211	70	are	be	AUX
aiti-4286	211	71	summarized	summarize	VERB
aiti-4286	211	72	in	in	ADP
aiti-4286	211	73	table	table	NOUN
aiti-4286	211	74	4	4	NUM
aiti-4286	211	75	.	.	PUNCT
aiti-4286	211	76	more	more	ADJ
aiti-4286	211	77	than	than	ADP
aiti-4286	211	78	93	93	NUM
aiti-4286	211	79	%	%	NOUN
aiti-4286	211	80	accuracy	accuracy	NOUN
aiti-4286	211	81	is	be	AUX
aiti-4286	211	82	achieved	achieve	VERB
aiti-4286	211	83	for	for	ADP
aiti-4286	211	84	all	all	DET
aiti-4286	211	85	three	three	NUM
aiti-4286	211	86	different	different	ADJ
aiti-4286	211	87	models	model	NOUN
aiti-4286	211	88	.	.	PUNCT
aiti-4286	212	1	the	the	DET
aiti-4286	212	2	offline	offline	ADJ
aiti-4286	212	3	training	training	NOUN
aiti-4286	212	4	time	time	NOUN
aiti-4286	212	5	,	,	PUNCT
aiti-4286	212	6	directly	directly	ADV
aiti-4286	212	7	measured	measure	VERB
aiti-4286	212	8	from	from	ADP
aiti-4286	212	9	the	the	DET
aiti-4286	212	10	system	system	NOUN
aiti-4286	212	11	,	,	PUNCT
aiti-4286	212	12	for	for	ADP
aiti-4286	212	13	cnn	cnn	PROPN
aiti-4286	212	14	,	,	PUNCT
aiti-4286	212	15	mlp	mlp	PROPN
aiti-4286	212	16	and	and	CCONJ
aiti-4286	212	17	sae	sae	PROPN
aiti-4286	212	18	models	model	NOUN
aiti-4286	212	19	are	be	AUX
aiti-4286	212	20	1,518	1,518	NUM
aiti-4286	212	21	,	,	PUNCT
aiti-4286	212	22	111	111	NUM
aiti-4286	212	23	,	,	PUNCT
aiti-4286	212	24	25	25	NUM
aiti-4286	212	25	sec	sec	PROPN
aiti-4286	212	26	,	,	PUNCT
aiti-4286	212	27	respectively	respectively	ADV
aiti-4286	212	28	.	.	PUNCT
aiti-4286	213	1	the	the	DET
aiti-4286	213	2	complexity	complexity	NOUN
aiti-4286	213	3	of	of	ADP
aiti-4286	213	4	ml	ml	NOUN
aiti-4286	213	5	models	model	NOUN
aiti-4286	213	6	,	,	PUNCT
aiti-4286	213	7	especially	especially	ADV
aiti-4286	213	8	for	for	ADP
aiti-4286	213	9	the	the	DET
aiti-4286	213	10	deep	deep	ADJ
aiti-4286	213	11	learning	learning	NOUN
aiti-4286	213	12	models	model	NOUN
aiti-4286	213	13	,	,	PUNCT
aiti-4286	213	14	has	have	AUX
aiti-4286	213	15	been	be	AUX
aiti-4286	213	16	significantly	significantly	ADV
aiti-4286	213	17	increasing	increase	VERB
aiti-4286	213	18	over	over	ADP
aiti-4286	213	19	recent	recent	ADJ
aiti-4286	213	20	years	year	NOUN
aiti-4286	213	21	.	.	PUNCT
aiti-4286	214	1	this	this	PRON
aiti-4286	214	2	is	be	AUX
aiti-4286	214	3	mainly	mainly	ADV
aiti-4286	214	4	due	due	ADJ
aiti-4286	214	5	to	to	ADP
aiti-4286	214	6	the	the	DET
aiti-4286	214	7	increasing	increase	VERB
aiti-4286	214	8	number	number	NOUN
aiti-4286	214	9	of	of	ADP
aiti-4286	214	10	deep	deep	ADJ
aiti-4286	214	11	learning	learning	NOUN
aiti-4286	214	12	network	network	NOUN
aiti-4286	214	13	layers	layer	NOUN
aiti-4286	214	14	and	and	CCONJ
aiti-4286	214	15	the	the	DET
aiti-4286	214	16	volume	volume	NOUN
aiti-4286	214	17	of	of	ADP
aiti-4286	214	18	dataset	dataset	NOUN
aiti-4286	214	19	which	which	PRON
aiti-4286	214	20	consequently	consequently	ADV
aiti-4286	214	21	increases	increase	VERB
aiti-4286	214	22	the	the	DET
aiti-4286	214	23	computational	computational	ADJ
aiti-4286	214	24	cost	cost	NOUN
aiti-4286	214	25	corresponding	correspond	VERB
aiti-4286	214	26	to	to	ADP
aiti-4286	214	27	the	the	DET
aiti-4286	214	28	execution	execution	NOUN
aiti-4286	214	29	time	time	NOUN
aiti-4286	214	30	required	require	VERB
aiti-4286	214	31	training	training	NOUN
aiti-4286	214	32	a	a	DET
aiti-4286	214	33	deep	deep	ADJ
aiti-4286	214	34	learning	learning	NOUN
aiti-4286	214	35	network	network	NOUN
aiti-4286	214	36	.	.	PUNCT
aiti-4286	215	1	fortunately	fortunately	ADV
aiti-4286	215	2	,	,	PUNCT
aiti-4286	215	3	this	this	DET
aiti-4286	215	4	computational	computational	ADJ
aiti-4286	215	5	cost	cost	NOUN
aiti-4286	215	6	is	be	AUX
aiti-4286	215	7	only	only	ADV
aiti-4286	215	8	effective	effective	ADJ
aiti-4286	215	9	during	during	ADP
aiti-4286	215	10	offline	offline	ADJ
aiti-4286	215	11	training	training	NOUN
aiti-4286	215	12	phase	phase	NOUN
aiti-4286	215	13	.	.	PUNCT
aiti-4286	216	1	in	in	ADP
aiti-4286	216	2	this	this	DET
aiti-4286	216	3	research	research	NOUN
aiti-4286	216	4	with	with	ADP
aiti-4286	216	5	online	online	ADJ
aiti-4286	216	6	traffic	traffic	NOUN
aiti-4286	216	7	classification	classification	NOUN
aiti-4286	216	8	in	in	ADP
aiti-4286	216	9	sdn	sdn	NOUN
aiti-4286	216	10	during	during	ADP
aiti-4286	216	11	testing	testing	NOUN
aiti-4286	216	12	phase	phase	NOUN
aiti-4286	216	13	,	,	PUNCT
aiti-4286	216	14	the	the	DET
aiti-4286	216	15	execution	execution	NOUN
aiti-4286	216	16	time	time	NOUN
aiti-4286	216	17	to	to	PART
aiti-4286	216	18	identify	identify	VERB
aiti-4286	216	19	an	an	DET
aiti-4286	216	20	application	application	NOUN
aiti-4286	216	21	for	for	ADP
aiti-4286	216	22	each	each	DET
aiti-4286	216	23	flow	flow	NOUN
aiti-4286	216	24	is	be	AUX
aiti-4286	216	25	within	within	ADP
aiti-4286	216	26	few	few	ADJ
aiti-4286	216	27	seconds	second	NOUN
aiti-4286	216	28	which	which	PRON
aiti-4286	216	29	is	be	AUX
aiti-4286	216	30	relatively	relatively	ADV
aiti-4286	216	31	small	small	ADJ
aiti-4286	216	32	.	.	PUNCT
aiti-4286	217	1	the	the	DET
aiti-4286	217	2	trained	train	VERB
aiti-4286	217	3	models	model	NOUN
aiti-4286	217	4	for	for	ADP
aiti-4286	217	5	online	online	ADJ
aiti-4286	217	6	testing	testing	NOUN
aiti-4286	217	7	can	can	AUX
aiti-4286	217	8	reach	reach	VERB
aiti-4286	217	9	a	a	DET
aiti-4286	217	10	very	very	ADV
aiti-4286	217	11	high	high	ADJ
aiti-4286	217	12	confidence	confidence	NOUN
aiti-4286	217	13	on	on	ADP
aiti-4286	217	14	classification	classification	NOUN
aiti-4286	217	15	within	within	ADP
aiti-4286	217	16	several	several	ADJ
aiti-4286	217	17	statistics	statistic	NOUN
aiti-4286	217	18	data	datum	NOUN
aiti-4286	217	19	which	which	PRON
aiti-4286	217	20	was	be	AUX
aiti-4286	217	21	collected	collect	VERB
aiti-4286	217	22	in	in	ADP
aiti-4286	217	23	every	every	DET
aiti-4286	217	24	second	second	NOUN
aiti-4286	217	25	.	.	PUNCT
aiti-4286	218	1	the	the	DET
aiti-4286	218	2	detailed	detailed	ADJ
aiti-4286	218	3	online	online	ADJ
aiti-4286	218	4	testing	testing	NOUN
aiti-4286	218	5	results	result	NOUN
aiti-4286	218	6	will	will	AUX
aiti-4286	218	7	be	be	AUX
aiti-4286	218	8	discussed	discuss	VERB
aiti-4286	218	9	in	in	ADP
aiti-4286	218	10	the	the	DET
aiti-4286	218	11	next	next	ADJ
aiti-4286	218	12	sub	sub	NOUN
aiti-4286	218	13	-	-	NOUN
aiti-4286	218	14	section	section	NOUN
aiti-4286	218	15	.	.	PUNCT
aiti-4286	219	1	4.2	4.2	NUM
aiti-4286	219	2	.	.	PUNCT
aiti-4286	220	1	online	online	ADJ
aiti-4286	220	2	testing	testing	NOUN
aiti-4286	220	3	result	result	NOUN
aiti-4286	220	4	as	as	SCONJ
aiti-4286	220	5	mentioned	mention	VERB
aiti-4286	220	6	earlier	early	ADV
aiti-4286	220	7	,	,	PUNCT
aiti-4286	220	8	we	we	PRON
aiti-4286	220	9	have	have	AUX
aiti-4286	220	10	injected	inject	VERB
aiti-4286	220	11	the	the	DET
aiti-4286	220	12	iscx	iscx	NOUN
aiti-4286	220	13	dataset	dataset	VERB
aiti-4286	220	14	into	into	ADP
aiti-4286	220	15	tcpreplay	tcpreplay	NOUN
aiti-4286	220	16	host	host	NOUN
aiti-4286	220	17	and	and	CCONJ
aiti-4286	220	18	then	then	ADV
aiti-4286	220	19	replayed	replay	VERB
aiti-4286	220	20	them	they	PRON
aiti-4286	220	21	one	one	NUM
aiti-4286	220	22	by	by	ADP
aiti-4286	220	23	one	one	NUM
aiti-4286	220	24	according	accord	VERB
aiti-4286	220	25	to	to	ADP
aiti-4286	220	26	the	the	DET
aiti-4286	220	27	same	same	ADJ
aiti-4286	220	28	processing	processing	NOUN
aiti-4286	220	29	time	time	NOUN
aiti-4286	220	30	and	and	CCONJ
aiti-4286	220	31	sequence	sequence	NOUN
aiti-4286	220	32	to	to	PART
aiti-4286	220	33	emulate	emulate	VERB
aiti-4286	220	34	the	the	DET
aiti-4286	220	35	online	online	ADJ
aiti-4286	220	36	traffic	traffic	NOUN
aiti-4286	220	37	for	for	ADP
aiti-4286	220	38	the	the	DET
aiti-4286	220	39	client	client	NOUN
aiti-4286	220	40	/	/	SYM
aiti-4286	220	41	server	server	NOUN
aiti-4286	220	42	communications	communication	NOUN
aiti-4286	220	43	in	in	ADP
aiti-4286	220	44	the	the	DET
aiti-4286	220	45	sdn	sdn	NOUN
aiti-4286	220	46	testbed	testbe	VERB
aiti-4286	220	47	.	.	PUNCT
aiti-4286	221	1	the	the	DET
aiti-4286	221	2	server	server	NOUN
aiti-4286	221	3	ip	ip	NOUN
aiti-4286	221	4	addresses	address	NOUN
aiti-4286	221	5	and	and	CCONJ
aiti-4286	221	6	transport	transport	NOUN
aiti-4286	221	7	port	port	NOUN
aiti-4286	221	8	numbers	number	NOUN
aiti-4286	221	9	in	in	ADP
aiti-4286	221	10	each	each	DET
aiti-4286	221	11	flow	flow	NOUN
aiti-4286	221	12	and	and	CCONJ
aiti-4286	221	13	the	the	DET
aiti-4286	221	14	byte	byte	NOUN
aiti-4286	221	15	counts	count	NOUN
aiti-4286	221	16	and	and	CCONJ
aiti-4286	221	17	packet	packet	NOUN
aiti-4286	221	18	counts	count	NOUN
aiti-4286	221	19	collected	collect	VERB
aiti-4286	221	20	from	from	ADP
aiti-4286	221	21	statistics	statistic	NOUN
aiti-4286	221	22	data	datum	NOUN
aiti-4286	221	23	are	be	AUX
aiti-4286	221	24	stored	store	VERB
aiti-4286	221	25	and	and	CCONJ
aiti-4286	221	26	selected	select	VERB
aiti-4286	221	27	in	in	ADP
aiti-4286	221	28	ryu	ryu	PROPN
aiti-4286	221	29	controller	controller	NOUN
aiti-4286	221	30	for	for	ADP
aiti-4286	221	31	further	further	ADJ
aiti-4286	221	32	data	datum	NOUN
aiti-4286	221	33	pre	pre	ADJ
aiti-4286	221	34	-	-	NOUN
aiti-4286	221	35	processing	process	VERB
aiti-4286	221	36	so	so	SCONJ
aiti-4286	221	37	that	that	SCONJ
aiti-4286	221	38	the	the	DET
aiti-4286	221	39	server	server	NOUN
aiti-4286	221	40	ip	ip	NOUN
aiti-4286	221	41	addresses	address	NOUN
aiti-4286	221	42	and	and	CCONJ
aiti-4286	221	43	transport	transport	NOUN
aiti-4286	221	44	port	port	NOUN
aiti-4286	221	45	numbers	number	NOUN
aiti-4286	221	46	can	can	AUX
aiti-4286	221	47	be	be	AUX
aiti-4286	221	48	handled	handle	VERB
aiti-4286	221	49	using	use	VERB
aiti-4286	221	50	one	one	NUM
aiti-4286	221	51	-	-	PUNCT
aiti-4286	221	52	hot	hot	ADJ
aiti-4286	221	53	input	input	NOUN
aiti-4286	221	54	scheme	scheme	NOUN
aiti-4286	221	55	.	.	PUNCT
aiti-4286	222	1	for	for	ADP
aiti-4286	222	2	online	online	ADJ
aiti-4286	222	3	testing	testing	NOUN
aiti-4286	222	4	,	,	PUNCT
aiti-4286	222	5	we	we	PRON
aiti-4286	222	6	use	use	VERB
aiti-4286	222	7	other	other	ADJ
aiti-4286	222	8	dataset	dataset	VERB
aiti-4286	222	9	files	file	NOUN
aiti-4286	222	10	with	with	ADP
aiti-4286	222	11	the	the	DET
aiti-4286	222	12	same	same	ADJ
aiti-4286	222	13	applications	application	NOUN
aiti-4286	222	14	and	and	CCONJ
aiti-4286	222	15	pre	pre	ADJ
aiti-4286	222	16	-	-	ADJ
aiti-4286	222	17	processing	processing	NOUN
aiti-4286	222	18	as	as	ADP
aiti-4286	222	19	the	the	DET
aiti-4286	222	20	training	training	NOUN
aiti-4286	222	21	model	model	NOUN
aiti-4286	222	22	to	to	PART
aiti-4286	222	23	match	match	VERB
aiti-4286	222	24	the	the	DET
aiti-4286	222	25	input	input	NOUN
aiti-4286	222	26	size	size	NOUN
aiti-4286	222	27	of	of	ADP
aiti-4286	222	28	the	the	DET
aiti-4286	222	29	training	training	NOUN
aiti-4286	222	30	model	model	NOUN
aiti-4286	222	31	.	.	PUNCT
aiti-4286	223	1	in	in	ADP
aiti-4286	223	2	order	order	NOUN
aiti-4286	223	3	to	to	PART
aiti-4286	223	4	response	response	VERB
aiti-4286	223	5	to	to	ADP
aiti-4286	223	6	the	the	DET
aiti-4286	223	7	unknown	unknown	ADJ
aiti-4286	223	8	applications	application	NOUN
aiti-4286	223	9	,	,	PUNCT
aiti-4286	223	10	we	we	PRON
aiti-4286	223	11	add	add	VERB
aiti-4286	223	12	a	a	DET
aiti-4286	223	13	server	server	NOUN
aiti-4286	223	14	to	to	PART
aiti-4286	223	15	mirror	mirror	VERB
aiti-4286	223	16	packet	packet	NOUN
aiti-4286	223	17	in	in	ADP
aiti-4286	223	18	message	message	NOUN
aiti-4286	223	19	in	in	ADP
aiti-4286	223	20	controller	controller	NOUN
aiti-4286	223	21	.	.	PUNCT
aiti-4286	224	1	the	the	DET
aiti-4286	224	2	mirror	mirror	NOUN
aiti-4286	224	3	server	server	NOUN
aiti-4286	224	4	will	will	AUX
aiti-4286	224	5	label	label	VERB
aiti-4286	224	6	the	the	DET
aiti-4286	224	7	online	online	ADJ
aiti-4286	224	8	applications	application	NOUN
aiti-4286	224	9	or	or	CCONJ
aiti-4286	224	10	services	service	NOUN
aiti-4286	224	11	for	for	ADP
aiti-4286	224	12	predicted	predict	VERB
aiti-4286	224	13	result	result	PROPN
aiti-4286	224	14	comparison	comparison	NOUN
aiti-4286	224	15	.	.	PUNCT
aiti-4286	225	1	furthermore	furthermore	ADV
aiti-4286	225	2	,	,	PUNCT
aiti-4286	225	3	in	in	ADP
aiti-4286	225	4	the	the	DET
aiti-4286	225	5	case	case	NOUN
aiti-4286	225	6	of	of	ADP
aiti-4286	225	7	vast	vast	ADJ
aiti-4286	225	8	amount	amount	NOUN
aiti-4286	225	9	of	of	ADP
aiti-4286	225	10	packets	packet	NOUN
aiti-4286	225	11	or	or	CCONJ
aiti-4286	225	12	flows	flow	NOUN
aiti-4286	225	13	injected	inject	VERB
aiti-4286	225	14	into	into	ADP
aiti-4286	225	15	the	the	DET
aiti-4286	225	16	ovs	ovs	NOUN
aiti-4286	225	17	switch	switch	NOUN
aiti-4286	225	18	,	,	PUNCT
aiti-4286	225	19	such	such	ADJ
aiti-4286	225	20	as	as	ADP
aiti-4286	225	21	abnormal	abnormal	ADJ
aiti-4286	225	22	intrusion	intrusion	NOUN
aiti-4286	225	23	,	,	PUNCT
aiti-4286	225	24	the	the	DET
aiti-4286	225	25	mirror	mirror	NOUN
aiti-4286	225	26	server	server	NOUN
aiti-4286	225	27	can	can	AUX
aiti-4286	225	28	play	play	VERB
aiti-4286	225	29	a	a	DET
aiti-4286	225	30	role	role	NOUN
aiti-4286	225	31	of	of	ADP
aiti-4286	225	32	ovs	ovs	NOUN
aiti-4286	225	33	buffering	buffer	VERB
aiti-4286	225	34	through	through	ADP
aiti-4286	225	35	the	the	DET
aiti-4286	225	36	dropping	dropping	NOUN
aiti-4286	225	37	of	of	ADP
aiti-4286	225	38	the	the	DET
aiti-4286	225	39	vast	vast	ADJ
aiti-4286	225	40	injected	inject	VERB
aiti-4286	225	41	packets	packet	NOUN
aiti-4286	225	42	on	on	ADP
aiti-4286	225	43	ovs	ovs	NOUN
aiti-4286	225	44	switch	switch	NOUN
aiti-4286	225	45	to	to	PART
aiti-4286	225	46	avoid	avoid	VERB
aiti-4286	225	47	the	the	DET
aiti-4286	225	48	bandwidth	bandwidth	ADJ
aiti-4286	225	49	exhaustion	exhaustion	NOUN
aiti-4286	225	50	.	.	PUNCT
aiti-4286	226	1	because	because	SCONJ
aiti-4286	226	2	of	of	ADP
aiti-4286	226	3	the	the	DET
aiti-4286	226	4	limitation	limitation	NOUN
aiti-4286	226	5	of	of	ADP
aiti-4286	226	6	the	the	DET
aiti-4286	226	7	processing	processing	NOUN
aiti-4286	226	8	speed	speed	NOUN
aiti-4286	226	9	of	of	ADP
aiti-4286	226	10	the	the	DET
aiti-4286	226	11	ryu	ryu	PROPN
aiti-4286	226	12	controller	controller	NOUN
aiti-4286	226	13	and	and	CCONJ
aiti-4286	226	14	ovs	ovs	NOUN
aiti-4286	226	15	switch	switch	NOUN
aiti-4286	226	16	hardware	hardware	NOUN
aiti-4286	226	17	,	,	PUNCT
aiti-4286	226	18	we	we	PRON
aiti-4286	226	19	might	might	AUX
aiti-4286	226	20	encounter	encounter	VERB
aiti-4286	226	21	statistics	statistic	NOUN
aiti-4286	226	22	packets	packet	NOUN
aiti-4286	226	23	drop	drop	VERB
aiti-4286	226	24	or	or	CCONJ
aiti-4286	226	25	tcpreplay	tcpreplay	NOUN
aiti-4286	226	26	packets	packet	NOUN
aiti-4286	226	27	drop	drop	VERB
aiti-4286	226	28	when	when	SCONJ
aiti-4286	226	29	the	the	DET
aiti-4286	226	30	testing	testing	NOUN
aiti-4286	226	31	dataset	dataset	NOUN
aiti-4286	226	32	injected	inject	VERB
aiti-4286	226	33	into	into	ADP
aiti-4286	226	34	the	the	DET
aiti-4286	226	35	ovs	ovs	NOUN
aiti-4286	226	36	switch	switch	NOUN
aiti-4286	226	37	according	accord	VERB
aiti-4286	226	38	to	to	ADP
aiti-4286	226	39	the	the	DET
aiti-4286	226	40	same	same	ADJ
aiti-4286	226	41	processing	processing	NOUN
aiti-4286	226	42	time	time	NOUN
aiti-4286	226	43	and	and	CCONJ
aiti-4286	226	44	sequence	sequence	NOUN
aiti-4286	226	45	.	.	PUNCT
aiti-4286	227	1	therefore	therefore	ADV
aiti-4286	227	2	,	,	PUNCT
aiti-4286	227	3	the	the	DET
aiti-4286	227	4	incomplete	incomplete	ADJ
aiti-4286	227	5	dataset	dataset	NOUN
aiti-4286	227	6	due	due	ADP
aiti-4286	227	7	to	to	ADP
aiti-4286	227	8	the	the	DET
aiti-4286	227	9	packets	packet	NOUN
aiti-4286	227	10	drop	drop	NOUN
aiti-4286	227	11	might	might	AUX
aiti-4286	227	12	cause	cause	VERB
aiti-4286	227	13	the	the	DET
aiti-4286	227	14	accuracy	accuracy	NOUN
aiti-4286	227	15	decline	decline	NOUN
aiti-4286	227	16	of	of	ADP
aiti-4286	227	17	the	the	DET
aiti-4286	227	18	online	online	ADJ
aiti-4286	227	19	prediction	prediction	NOUN
aiti-4286	227	20	for	for	ADP
aiti-4286	227	21	different	different	ADJ
aiti-4286	227	22	deep	deep	ADJ
aiti-4286	227	23	learning	learning	NOUN
aiti-4286	227	24	models	model	NOUN
aiti-4286	227	25	as	as	ADP
aiti-4286	227	26	compared	compare	VERB
aiti-4286	227	27	with	with	ADP
aiti-4286	227	28	the	the	DET
aiti-4286	227	29	offline	offline	ADJ
aiti-4286	227	30	cases	case	NOUN
aiti-4286	227	31	.	.	PUNCT
aiti-4286	228	1	in	in	ADP
aiti-4286	228	2	fig	fig	NOUN
aiti-4286	228	3	.	.	PUNCT
aiti-4286	229	1	6	6	NUM
aiti-4286	229	2	,	,	PUNCT
aiti-4286	229	3	we	we	PRON
aiti-4286	229	4	illustrate	illustrate	VERB
aiti-4286	229	5	the	the	DET
aiti-4286	229	6	predicted	predict	VERB
aiti-4286	229	7	result	result	NOUN
aiti-4286	229	8	,	,	PUNCT
aiti-4286	229	9	in	in	ADP
aiti-4286	229	10	terms	term	NOUN
aiti-4286	229	11	of	of	ADP
aiti-4286	229	12	confusion	confusion	NOUN
aiti-4286	229	13	matrix	matrix	NOUN
aiti-4286	229	14	,	,	PUNCT
aiti-4286	229	15	of	of	ADP
aiti-4286	229	16	application	application	NOUN
aiti-4286	229	17	-	-	PUNCT
aiti-4286	229	18	based	base	VERB
aiti-4286	229	19	online	online	ADJ
aiti-4286	229	20	traffic	traffic	NOUN
aiti-4286	229	21	classification	classification	NOUN
aiti-4286	229	22	with	with	ADP
aiti-4286	229	23	mlp	mlp	PROPN
aiti-4286	229	24	deep	deep	PROPN
aiti-4286	229	25	learning	learning	PROPN
aiti-4286	229	26	model	model	NOUN
aiti-4286	229	27	.	.	PUNCT
aiti-4286	230	1	the	the	DET
aiti-4286	230	2	diagonal	diagonal	ADJ
aiti-4286	230	3	values	value	NOUN
aiti-4286	230	4	in	in	ADP
aiti-4286	230	5	the	the	DET
aiti-4286	230	6	matrix	matrix	NOUN
aiti-4286	230	7	correspond	correspond	NOUN
aiti-4286	230	8	to	to	ADP
aiti-4286	230	9	the	the	DET
aiti-4286	230	10	true	true	ADJ
aiti-4286	230	11	positives	positive	NOUN
aiti-4286	230	12	of	of	ADP
aiti-4286	230	13	the	the	DET
aiti-4286	230	14	predicted	predict	VERB
aiti-4286	230	15	result	result	NOUN
aiti-4286	230	16	of	of	ADP
aiti-4286	230	17	facebookchat	facebookchat	NOUN
aiti-4286	230	18	,	,	PUNCT
aiti-4286	230	19	gmailchat	gmailchat	INTJ
aiti-4286	230	20	,	,	PUNCT
aiti-4286	230	21	handoutschat	handoutschat	PROPN
aiti-4286	230	22	,	,	PUNCT
aiti-4286	230	23	netflix	netflix	PROPN
aiti-4286	230	24	,	,	PUNCT
aiti-4286	230	25	skypeaudio	skypeaudio	NOUN
aiti-4286	230	26	,	,	PUNCT
aiti-4286	230	27	skypevideo	skypevideo	NOUN
aiti-4286	230	28	,	,	PUNCT
aiti-4286	230	29	and	and	CCONJ
aiti-4286	230	30	youtube	youtube	NOUN
aiti-4286	230	31	categories	category	NOUN
aiti-4286	230	32	,	,	PUNCT
aiti-4286	230	33	respectively	respectively	ADV
aiti-4286	230	34	.	.	PUNCT
aiti-4286	231	1	from	from	ADP
aiti-4286	231	2	the	the	DET
aiti-4286	231	3	illustration	illustration	NOUN
aiti-4286	231	4	shown	show	VERB
aiti-4286	231	5	in	in	ADP
aiti-4286	231	6	fig	fig	NOUN
aiti-4286	231	7	.	.	PUNCT
aiti-4286	232	1	6	6	NUM
aiti-4286	232	2	,	,	PUNCT
aiti-4286	232	3	the	the	DET
aiti-4286	232	4	number	number	NOUN
aiti-4286	232	5	of	of	ADP
aiti-4286	232	6	false	false	ADJ
aiti-4286	232	7	positives	positive	NOUN
aiti-4286	232	8	between	between	ADP
aiti-4286	232	9	skypeaudio	skypeaudio	NOUN
aiti-4286	232	10	and	and	CCONJ
aiti-4286	232	11	skypevideo	skypevideo	ADJ
aiti-4286	232	12	categories	category	NOUN
aiti-4286	232	13	is	be	AUX
aiti-4286	232	14	relatively	relatively	ADV
aiti-4286	232	15	high	high	ADJ
aiti-4286	232	16	.	.	PUNCT
aiti-4286	233	1	this	this	PRON
aiti-4286	233	2	is	be	AUX
aiti-4286	233	3	understandable	understandable	ADJ
aiti-4286	233	4	because	because	SCONJ
aiti-4286	233	5	the	the	DET
aiti-4286	233	6	flows	flow	NOUN
aiti-4286	233	7	from	from	ADP
aiti-4286	233	8	these	these	DET
aiti-4286	233	9	two	two	NUM
aiti-4286	233	10	categories	category	NOUN
aiti-4286	233	11	own	own	VERB
aiti-4286	233	12	the	the	DET
aiti-4286	233	13	same	same	ADJ
aiti-4286	233	14	server	server	NOUN
aiti-4286	233	15	ip	ip	NOUN
aiti-4286	233	16	and	and	CCONJ
aiti-4286	233	17	transport	transport	NOUN
aiti-4286	233	18	port	port	NOUN
aiti-4286	233	19	features	feature	NOUN
aiti-4286	233	20	.	.	PUNCT
aiti-4286	234	1	the	the	DET
aiti-4286	234	2	only	only	ADJ
aiti-4286	234	3	possible	possible	ADJ
aiti-4286	234	4	features	feature	NOUN
aiti-4286	234	5	which	which	PRON
aiti-4286	234	6	we	we	PRON
aiti-4286	234	7	can	can	AUX
aiti-4286	234	8	identify	identify	VERB
aiti-4286	234	9	could	could	AUX
aiti-4286	234	10	be	be	AUX
aiti-4286	234	11	byte	byte	NOUN
aiti-4286	234	12	counts	count	NOUN
aiti-4286	234	13	.	.	PUNCT
aiti-4286	235	1	however	however	ADV
aiti-4286	235	2	,	,	PUNCT
aiti-4286	235	3	the	the	DET
aiti-4286	235	4	dynamic	dynamic	ADJ
aiti-4286	235	5	encoding	encoding	NOUN
aiti-4286	235	6	schemes	scheme	NOUN
aiti-4286	235	7	of	of	ADP
aiti-4286	235	8	the	the	DET
aiti-4286	235	9	audio	audio	NOUN
aiti-4286	235	10	and	and	CCONJ
aiti-4286	235	11	video	video	NOUN
aiti-4286	235	12	could	could	AUX
aiti-4286	235	13	dim	dim	VERB
aiti-4286	235	14	the	the	DET
aiti-4286	235	15	byte	byte	NOUN
aiti-4286	235	16	count	count	NOUN
aiti-4286	235	17	feature	feature	NOUN
aiti-4286	235	18	.	.	PUNCT
aiti-4286	236	1	advances	advance	NOUN
aiti-4286	236	2	in	in	ADP
aiti-4286	236	3	technology	technology	NOUN
aiti-4286	236	4	innovation	innovation	NOUN
aiti-4286	236	5	,	,	PUNCT
aiti-4286	236	6	vol	vol	NOUN
aiti-4286	236	7	.	.	PROPN
aiti-4286	236	8	5	5	NUM
aiti-4286	236	9	,	,	PUNCT
aiti-4286	236	10	no	no	INTJ
aiti-4286	236	11	.	.	NOUN
aiti-4286	236	12	4	4	NUM
aiti-4286	236	13	,	,	PUNCT
aiti-4286	236	14	2020	2020	NUM
aiti-4286	236	15	,	,	PUNCT
aiti-4286	236	16	pp	pp	ADV
aiti-4286	236	17	.	.	PUNCT
aiti-4286	237	1	216	216	NUM
aiti-4286	237	2	-	-	SYM
aiti-4286	237	3	229	229	NUM
aiti-4286	237	4	226	226	NUM
aiti-4286	237	5	the	the	DET
aiti-4286	237	6	numbers	number	NOUN
aiti-4286	237	7	of	of	ADP
aiti-4286	237	8	false	false	ADJ
aiti-4286	237	9	positives	positive	NOUN
aiti-4286	237	10	between	between	ADP
aiti-4286	237	11	netflix	netflix	NOUN
aiti-4286	237	12	and	and	CCONJ
aiti-4286	237	13	skypeaudio	skypeaudio	NOUN
aiti-4286	237	14	or	or	CCONJ
aiti-4286	237	15	between	between	ADP
aiti-4286	237	16	youtube	youtube	NOUN
aiti-4286	237	17	and	and	CCONJ
aiti-4286	237	18	skypeaudio	skypeaudio	NOUN
aiti-4286	237	19	also	also	ADV
aiti-4286	237	20	show	show	VERB
aiti-4286	237	21	relatively	relatively	ADV
aiti-4286	237	22	higher	high	ADJ
aiti-4286	237	23	ratio	ratio	NOUN
aiti-4286	237	24	.	.	PUNCT
aiti-4286	238	1	although	although	SCONJ
aiti-4286	238	2	the	the	DET
aiti-4286	238	3	server	server	NOUN
aiti-4286	238	4	ip	ip	NOUN
aiti-4286	238	5	addresses	address	NOUN
aiti-4286	238	6	are	be	AUX
aiti-4286	238	7	different	different	ADJ
aiti-4286	238	8	for	for	ADP
aiti-4286	238	9	these	these	DET
aiti-4286	238	10	applications	application	NOUN
aiti-4286	238	11	,	,	PUNCT
aiti-4286	238	12	the	the	DET
aiti-4286	238	13	similar	similar	ADJ
aiti-4286	238	14	multimedia	multimedia	NOUN
aiti-4286	238	15	behavior	behavior	NOUN
aiti-4286	238	16	in	in	ADP
aiti-4286	238	17	terms	term	NOUN
aiti-4286	238	18	of	of	ADP
aiti-4286	238	19	byte	byte	NOUN
aiti-4286	238	20	counts	count	NOUN
aiti-4286	238	21	and	and	CCONJ
aiti-4286	238	22	packet	packet	NOUN
aiti-4286	238	23	counts	count	NOUN
aiti-4286	238	24	features	feature	VERB
aiti-4286	238	25	for	for	ADP
aiti-4286	238	26	deep	deep	ADJ
aiti-4286	238	27	learning	learning	NOUN
aiti-4286	238	28	will	will	AUX
aiti-4286	238	29	lead	lead	VERB
aiti-4286	238	30	the	the	DET
aiti-4286	238	31	miss	miss	NOUN
aiti-4286	238	32	-	-	PUNCT
aiti-4286	238	33	identification	identification	NOUN
aiti-4286	238	34	of	of	ADP
aiti-4286	238	35	such	such	ADJ
aiti-4286	238	36	streaming	stream	VERB
aiti-4286	238	37	category	category	NOUN
aiti-4286	238	38	to	to	ADP
aiti-4286	238	39	the	the	DET
aiti-4286	238	40	skypeaudio	skypeaudio	ADJ
aiti-4286	238	41	category	category	NOUN
aiti-4286	238	42	.	.	PUNCT
aiti-4286	239	1	as	as	ADP
aiti-4286	239	2	a	a	DET
aiti-4286	239	3	simple	simple	ADJ
aiti-4286	239	4	deep	deep	ADJ
aiti-4286	239	5	back	back	ADV
aiti-4286	239	6	-	-	PUNCT
aiti-4286	239	7	propagating	propagate	VERB
aiti-4286	239	8	learning	learn	VERB
aiti-4286	239	9	technique	technique	NOUN
aiti-4286	239	10	,	,	PUNCT
aiti-4286	239	11	the	the	DET
aiti-4286	239	12	mlp	mlp	PROPN
aiti-4286	239	13	deep	deep	ADJ
aiti-4286	239	14	learning	learning	NOUN
aiti-4286	239	15	model	model	NOUN
aiti-4286	239	16	may	may	AUX
aiti-4286	239	17	suffer	suffer	VERB
aiti-4286	239	18	from	from	ADP
aiti-4286	239	19	such	such	ADJ
aiti-4286	239	20	miss	miss	NOUN
aiti-4286	239	21	-	-	PUNCT
aiti-4286	239	22	identification	identification	NOUN
aiti-4286	239	23	easily	easily	ADV
aiti-4286	239	24	.	.	PUNCT
aiti-4286	240	1	therefore	therefore	ADV
aiti-4286	240	2	,	,	PUNCT
aiti-4286	240	3	a	a	DET
aiti-4286	240	4	relatively	relatively	ADV
aiti-4286	240	5	higher	high	ADJ
aiti-4286	240	6	error	error	NOUN
aiti-4286	240	7	rates	rate	NOUN
aiti-4286	240	8	were	be	AUX
aiti-4286	240	9	observed	observe	VERB
aiti-4286	240	10	between	between	ADP
aiti-4286	240	11	skypeaudio	skypeaudio	NOUN
aiti-4286	240	12	and	and	CCONJ
aiti-4286	240	13	skypevideo	skypevideo	NOUN
aiti-4286	240	14	or	or	CCONJ
aiti-4286	240	15	between	between	ADP
aiti-4286	240	16	netflix	netflix	NOUN
aiti-4286	240	17	and	and	CCONJ
aiti-4286	240	18	skypeaudio	skypeaudio	ADJ
aiti-4286	240	19	applications	application	NOUN
aiti-4286	240	20	.	.	PUNCT
aiti-4286	241	1	however	however	ADV
aiti-4286	241	2	,	,	PUNCT
aiti-4286	241	3	we	we	PRON
aiti-4286	241	4	still	still	ADV
aiti-4286	241	5	achieve	achieve	VERB
aiti-4286	241	6	about	about	ADV
aiti-4286	241	7	87	87	NUM
aiti-4286	241	8	%	%	NOUN
aiti-4286	241	9	accuracy	accuracy	NOUN
aiti-4286	241	10	on	on	ADP
aiti-4286	241	11	average	average	ADJ
aiti-4286	241	12	for	for	ADP
aiti-4286	241	13	application	application	NOUN
aiti-4286	241	14	-	-	PUNCT
aiti-4286	241	15	based	base	VERB
aiti-4286	241	16	online	online	ADJ
aiti-4286	241	17	traffic	traffic	NOUN
aiti-4286	241	18	classification	classification	NOUN
aiti-4286	241	19	with	with	ADP
aiti-4286	241	20	mlp	mlp	PROPN
aiti-4286	241	21	deep	deep	ADJ
aiti-4286	241	22	learning	learning	PROPN
aiti-4286	241	23	model	model	NOUN
aiti-4286	241	24	.	.	PUNCT
aiti-4286	242	1	especially	especially	ADV
aiti-4286	242	2	,	,	PUNCT
aiti-4286	242	3	we	we	PRON
aiti-4286	242	4	conduct	conduct	VERB
aiti-4286	242	5	the	the	DET
aiti-4286	242	6	application	application	NOUN
aiti-4286	242	7	services	service	NOUN
aiti-4286	242	8	with	with	ADP
aiti-4286	242	9	very	very	ADV
aiti-4286	242	10	similar	similar	ADJ
aiti-4286	242	11	characteristics	characteristic	NOUN
aiti-4286	242	12	,	,	PUNCT
aiti-4286	242	13	such	such	ADJ
aiti-4286	242	14	as	as	ADP
aiti-4286	242	15	multimedia	multimedia	NOUN
aiti-4286	242	16	,	,	PUNCT
aiti-4286	242	17	audio	audio	NOUN
aiti-4286	242	18	and	and	CCONJ
aiti-4286	242	19	video	video	NOUN
aiti-4286	242	20	streaming	streaming	NOUN
aiti-4286	242	21	,	,	PUNCT
aiti-4286	242	22	which	which	PRON
aiti-4286	242	23	could	could	AUX
aiti-4286	242	24	be	be	AUX
aiti-4286	242	25	very	very	ADV
aiti-4286	242	26	difficult	difficult	ADJ
aiti-4286	242	27	for	for	ADP
aiti-4286	242	28	network	network	NOUN
aiti-4286	242	29	traffic	traffic	NOUN
aiti-4286	242	30	classification	classification	NOUN
aiti-4286	242	31	.	.	PUNCT
aiti-4286	243	1	fig	fig	NOUN
aiti-4286	243	2	.	.	PUNCT
aiti-4286	244	1	6	6	NUM
aiti-4286	244	2	confusion	confusion	NOUN
aiti-4286	244	3	matrix	matrix	NOUN
aiti-4286	244	4	of	of	ADP
aiti-4286	244	5	mlp	mlp	PROPN
aiti-4286	244	6	online	online	PROPN
aiti-4286	244	7	test	test	NOUN
aiti-4286	244	8	result	result	PROPN
aiti-4286	244	9	fig	fig	NOUN
aiti-4286	244	10	.	.	PUNCT
aiti-4286	245	1	7	7	NUM
aiti-4286	245	2	confusion	confusion	NOUN
aiti-4286	245	3	matrix	matrix	NOUN
aiti-4286	245	4	of	of	ADP
aiti-4286	245	5	sae	sae	PROPN
aiti-4286	245	6	online	online	PROPN
aiti-4286	245	7	test	test	NOUN
aiti-4286	245	8	result	result	VERB
aiti-4286	245	9	the	the	DET
aiti-4286	245	10	predicted	predict	VERB
aiti-4286	245	11	result	result	NOUN
aiti-4286	245	12	,	,	PUNCT
aiti-4286	245	13	in	in	ADP
aiti-4286	245	14	terms	term	NOUN
aiti-4286	245	15	of	of	ADP
aiti-4286	245	16	confusion	confusion	NOUN
aiti-4286	245	17	matrix	matrix	NOUN
aiti-4286	245	18	,	,	PUNCT
aiti-4286	245	19	of	of	ADP
aiti-4286	245	20	application	application	NOUN
aiti-4286	245	21	-	-	PUNCT
aiti-4286	245	22	based	base	VERB
aiti-4286	245	23	online	online	ADJ
aiti-4286	245	24	traffic	traffic	NOUN
aiti-4286	245	25	classification	classification	NOUN
aiti-4286	245	26	with	with	ADP
aiti-4286	245	27	sae	sae	PROPN
aiti-4286	245	28	deep	deep	ADJ
aiti-4286	245	29	learning	learning	NOUN
aiti-4286	245	30	model	model	NOUN
aiti-4286	245	31	is	be	AUX
aiti-4286	245	32	illustrated	illustrate	VERB
aiti-4286	245	33	in	in	ADP
aiti-4286	245	34	fig	fig	NOUN
aiti-4286	245	35	.	.	PUNCT
aiti-4286	246	1	7	7	X
aiti-4286	246	2	.	.	X
aiti-4286	246	3	similarly	similarly	ADV
aiti-4286	246	4	,	,	PUNCT
aiti-4286	246	5	the	the	DET
aiti-4286	246	6	number	number	NOUN
aiti-4286	246	7	of	of	ADP
aiti-4286	246	8	false	false	ADJ
aiti-4286	246	9	positives	positive	NOUN
aiti-4286	246	10	between	between	ADP
aiti-4286	246	11	skypeaudio	skypeaudio	NOUN
aiti-4286	246	12	and	and	CCONJ
aiti-4286	246	13	skypevideo	skypevideo	ADJ
aiti-4286	246	14	categories	category	NOUN
aiti-4286	246	15	is	be	AUX
aiti-4286	246	16	relatively	relatively	ADV
aiti-4286	246	17	high	high	ADJ
aiti-4286	246	18	again	again	ADV
aiti-4286	246	19	for	for	ADP
aiti-4286	246	20	the	the	DET
aiti-4286	246	21	sae	sae	PROPN
aiti-4286	246	22	deep	deep	PROPN
aiti-4286	246	23	learning	learning	PROPN
aiti-4286	246	24	model	model	NOUN
aiti-4286	246	25	.	.	PUNCT
aiti-4286	247	1	the	the	DET
aiti-4286	247	2	numbers	number	NOUN
aiti-4286	247	3	of	of	ADP
aiti-4286	247	4	false	false	ADJ
aiti-4286	247	5	positives	positive	NOUN
aiti-4286	247	6	between	between	ADP
aiti-4286	247	7	netflix	netflix	NOUN
aiti-4286	247	8	and	and	CCONJ
aiti-4286	247	9	skypeaudio	skypeaudio	NOUN
aiti-4286	247	10	or	or	CCONJ
aiti-4286	247	11	between	between	ADP
aiti-4286	247	12	youtube	youtube	NOUN
aiti-4286	247	13	and	and	CCONJ
aiti-4286	247	14	skypeaudio	skypeaudio	NOUN
aiti-4286	247	15	also	also	ADV
aiti-4286	247	16	shows	show	VERB
aiti-4286	247	17	relatively	relatively	ADV
aiti-4286	247	18	higher	high	ADJ
aiti-4286	247	19	ratio	ratio	NOUN
aiti-4286	247	20	.	.	PUNCT
aiti-4286	248	1	because	because	SCONJ
aiti-4286	248	2	the	the	DET
aiti-4286	248	3	sae	sae	PROPN
aiti-4286	248	4	deep	deep	PROPN
aiti-4286	248	5	learning	learning	PROPN
aiti-4286	248	6	model	model	NOUN
aiti-4286	248	7	uses	use	VERB
aiti-4286	248	8	encoder	encoder	NOUN
aiti-4286	248	9	and	and	CCONJ
aiti-4286	248	10	decoder	decoder	NOUN
aiti-4286	248	11	for	for	ADP
aiti-4286	248	12	learning	learning	NOUN
aiti-4286	248	13	,	,	PUNCT
aiti-4286	248	14	the	the	DET
aiti-4286	248	15	selected	select	VERB
aiti-4286	248	16	features	feature	NOUN
aiti-4286	248	17	need	need	VERB
aiti-4286	248	18	to	to	PART
aiti-4286	248	19	be	be	AUX
aiti-4286	248	20	further	far	ADV
aiti-4286	248	21	adjusted	adjust	VERB
aiti-4286	248	22	to	to	PART
aiti-4286	248	23	distinguish	distinguish	VERB
aiti-4286	248	24	the	the	DET
aiti-4286	248	25	similar	similar	ADJ
aiti-4286	248	26	streaming	stream	VERB
aiti-4286	248	27	behavior	behavior	NOUN
aiti-4286	248	28	between	between	ADP
aiti-4286	248	29	skypeaudio	skypeaudio	NOUN
aiti-4286	248	30	and	and	CCONJ
aiti-4286	248	31	skypevideo	skypevideo	ADJ
aiti-4286	248	32	categories	category	NOUN
aiti-4286	248	33	or	or	CCONJ
aiti-4286	248	34	among	among	ADP
aiti-4286	248	35	different	different	ADJ
aiti-4286	248	36	multimedia	multimedia	NOUN
aiti-4286	248	37	streaming	streaming	NOUN
aiti-4286	248	38	properties	property	NOUN
aiti-4286	248	39	.	.	PUNCT
aiti-4286	249	1	fig	fig	NOUN
aiti-4286	249	2	.	.	PUNCT
aiti-4286	250	1	8	8	NUM
aiti-4286	250	2	confusion	confusion	NOUN
aiti-4286	250	3	matrix	matrix	NOUN
aiti-4286	250	4	of	of	ADP
aiti-4286	250	5	cnn	cnn	PROPN
aiti-4286	250	6	online	online	PROPN
aiti-4286	250	7	test	test	NOUN
aiti-4286	250	8	result	result	NOUN
aiti-4286	250	9	besides	besides	SCONJ
aiti-4286	250	10	,	,	PUNCT
aiti-4286	250	11	the	the	DET
aiti-4286	250	12	predicted	predict	VERB
aiti-4286	250	13	result	result	NOUN
aiti-4286	250	14	,	,	PUNCT
aiti-4286	250	15	in	in	ADP
aiti-4286	250	16	terms	term	NOUN
aiti-4286	250	17	of	of	ADP
aiti-4286	250	18	confusion	confusion	NOUN
aiti-4286	250	19	matrix	matrix	NOUN
aiti-4286	250	20	,	,	PUNCT
aiti-4286	250	21	of	of	ADP
aiti-4286	250	22	application	application	NOUN
aiti-4286	250	23	-	-	PUNCT
aiti-4286	250	24	based	base	VERB
aiti-4286	250	25	online	online	ADJ
aiti-4286	250	26	traffic	traffic	NOUN
aiti-4286	250	27	classification	classification	NOUN
aiti-4286	250	28	with	with	ADP
aiti-4286	250	29	cnn	cnn	PROPN
aiti-4286	250	30	deep	deep	PROPN
aiti-4286	250	31	learning	learning	NOUN
aiti-4286	250	32	model	model	NOUN
aiti-4286	250	33	is	be	AUX
aiti-4286	250	34	illustrated	illustrate	VERB
aiti-4286	250	35	in	in	ADP
aiti-4286	250	36	fig	fig	NOUN
aiti-4286	250	37	.	.	PUNCT
aiti-4286	251	1	8	8	X
aiti-4286	251	2	.	.	X
aiti-4286	252	1	similarly	similarly	ADV
aiti-4286	252	2	,	,	PUNCT
aiti-4286	252	3	the	the	DET
aiti-4286	252	4	numbers	number	NOUN
aiti-4286	252	5	of	of	ADP
aiti-4286	252	6	false	false	ADJ
aiti-4286	252	7	positives	positive	NOUN
aiti-4286	252	8	between	between	ADP
aiti-4286	252	9	skypeaudio	skypeaudio	NOUN
aiti-4286	252	10	and	and	CCONJ
aiti-4286	252	11	skypevideo	skypevideo	NOUN
aiti-4286	252	12	categories	category	NOUN
aiti-4286	252	13	are	be	AUX
aiti-4286	252	14	relatively	relatively	ADV
aiti-4286	252	15	high	high	ADJ
aiti-4286	252	16	for	for	ADP
aiti-4286	252	17	the	the	DET
aiti-4286	252	18	cnn	cnn	PROPN
aiti-4286	252	19	deep	deep	PROPN
aiti-4286	252	20	learning	learning	PROPN
aiti-4286	252	21	model	model	NOUN
aiti-4286	252	22	.	.	PUNCT
aiti-4286	253	1	the	the	DET
aiti-4286	253	2	numbers	number	NOUN
aiti-4286	253	3	of	of	ADP
aiti-4286	253	4	false	false	ADJ
aiti-4286	253	5	positives	positive	NOUN
aiti-4286	253	6	between	between	ADP
aiti-4286	253	7	netflix	netflix	NOUN
aiti-4286	253	8	and	and	CCONJ
aiti-4286	253	9	advances	advance	NOUN
aiti-4286	253	10	in	in	ADP
aiti-4286	253	11	technology	technology	NOUN
aiti-4286	253	12	innovation	innovation	NOUN
aiti-4286	253	13	,	,	PUNCT
aiti-4286	253	14	vol	vol	NOUN
aiti-4286	253	15	.	.	PROPN
aiti-4286	253	16	5	5	NUM
aiti-4286	253	17	,	,	PUNCT
aiti-4286	253	18	no	no	INTJ
aiti-4286	253	19	.	.	NOUN
aiti-4286	253	20	4	4	NUM
aiti-4286	253	21	,	,	PUNCT
aiti-4286	253	22	2020	2020	NUM
aiti-4286	253	23	,	,	PUNCT
aiti-4286	253	24	pp	pp	ADV
aiti-4286	253	25	.	.	PUNCT
aiti-4286	254	1	216	216	NUM
aiti-4286	254	2	-	-	SYM
aiti-4286	254	3	229	229	NUM
aiti-4286	254	4	227	227	NUM
aiti-4286	254	5	skypeaudio	skypeaudio	NOUN
aiti-4286	254	6	or	or	CCONJ
aiti-4286	254	7	between	between	ADP
aiti-4286	254	8	youtube	youtube	NOUN
aiti-4286	254	9	and	and	CCONJ
aiti-4286	254	10	skypeaudio	skypeaudio	NOUN
aiti-4286	254	11	also	also	ADV
aiti-4286	254	12	show	show	VERB
aiti-4286	254	13	relatively	relatively	ADV
aiti-4286	254	14	higher	high	ADJ
aiti-4286	254	15	ratio	ratio	NOUN
aiti-4286	254	16	which	which	PRON
aiti-4286	254	17	is	be	AUX
aiti-4286	254	18	believed	believe	VERB
aiti-4286	254	19	due	due	ADP
aiti-4286	254	20	to	to	ADP
aiti-4286	254	21	the	the	DET
aiti-4286	254	22	similar	similar	ADJ
aiti-4286	254	23	multimedia	multimedia	NOUN
aiti-4286	254	24	behavior	behavior	NOUN
aiti-4286	254	25	in	in	ADP
aiti-4286	254	26	terms	term	NOUN
aiti-4286	254	27	of	of	ADP
aiti-4286	254	28	byte	byte	NOUN
aiti-4286	254	29	counts	count	NOUN
aiti-4286	254	30	and	and	CCONJ
aiti-4286	254	31	packet	packet	NOUN
aiti-4286	254	32	counts	count	NOUN
aiti-4286	254	33	features	feature	VERB
aiti-4286	254	34	for	for	ADP
aiti-4286	254	35	deep	deep	ADJ
aiti-4286	254	36	learning	learning	NOUN
aiti-4286	254	37	.	.	PUNCT
aiti-4286	255	1	the	the	DET
aiti-4286	255	2	average	average	ADJ
aiti-4286	255	3	accuracy	accuracy	NOUN
aiti-4286	255	4	for	for	ADP
aiti-4286	255	5	application	application	NOUN
aiti-4286	255	6	-	-	PUNCT
aiti-4286	255	7	based	base	VERB
aiti-4286	255	8	online	online	ADJ
aiti-4286	255	9	traffic	traffic	NOUN
aiti-4286	255	10	classification	classification	NOUN
aiti-4286	255	11	with	with	ADP
aiti-4286	255	12	cnn	cnn	PROPN
aiti-4286	255	13	deep	deep	PROPN
aiti-4286	255	14	learning	learning	NOUN
aiti-4286	255	15	model	model	NOUN
aiti-4286	255	16	is	be	AUX
aiti-4286	255	17	about	about	ADV
aiti-4286	255	18	87.3	87.3	NUM
aiti-4286	255	19	%	%	NOUN
aiti-4286	255	20	.	.	PUNCT
aiti-4286	256	1	in	in	ADP
aiti-4286	256	2	this	this	DET
aiti-4286	256	3	paper	paper	NOUN
aiti-4286	256	4	,	,	PUNCT
aiti-4286	256	5	we	we	PRON
aiti-4286	256	6	reduce	reduce	VERB
aiti-4286	256	7	the	the	DET
aiti-4286	256	8	problem	problem	NOUN
aiti-4286	256	9	of	of	ADP
aiti-4286	256	10	multiclass	multiclass	ADJ
aiti-4286	256	11	classification	classification	NOUN
aiti-4286	256	12	to	to	ADP
aiti-4286	256	13	multiple	multiple	ADJ
aiti-4286	256	14	binary	binary	ADJ
aiti-4286	256	15	classification	classification	NOUN
aiti-4286	256	16	problems	problem	NOUN
aiti-4286	256	17	by	by	ADP
aiti-4286	256	18	using	use	VERB
aiti-4286	256	19	one	one	NUM
aiti-4286	256	20	vs	vs	ADP
aiti-4286	256	21	rest	rest	NOUN
aiti-4286	256	22	transformation	transformation	NOUN
aiti-4286	256	23	technique	technique	NOUN
aiti-4286	256	24	[	[	X
aiti-4286	256	25	25	25	NUM
aiti-4286	256	26	]	]	PUNCT
aiti-4286	256	27	.	.	PUNCT
aiti-4286	257	1	the	the	DET
aiti-4286	257	2	one	one	NOUN
aiti-4286	257	3	vs	vs	ADP
aiti-4286	257	4	rest	rest	NOUN
aiti-4286	257	5	transformation	transformation	NOUN
aiti-4286	257	6	technique	technique	NOUN
aiti-4286	257	7	will	will	AUX
aiti-4286	257	8	treat	treat	VERB
aiti-4286	257	9	a	a	DET
aiti-4286	257	10	single	single	ADJ
aiti-4286	257	11	classifier	classifier	NOUN
aiti-4286	257	12	per	per	ADP
aiti-4286	257	13	class	class	NOUN
aiti-4286	257	14	with	with	ADP
aiti-4286	257	15	the	the	DET
aiti-4286	257	16	predicted	predict	VERB
aiti-4286	257	17	labels	label	NOUN
aiti-4286	257	18	of	of	ADP
aiti-4286	257	19	that	that	DET
aiti-4286	257	20	class	class	NOUN
aiti-4286	257	21	as	as	ADP
aiti-4286	257	22	positive	positive	ADJ
aiti-4286	257	23	samples	sample	NOUN
aiti-4286	257	24	and	and	CCONJ
aiti-4286	257	25	all	all	DET
aiti-4286	257	26	other	other	ADJ
aiti-4286	257	27	predicted	predict	VERB
aiti-4286	257	28	labels	label	NOUN
aiti-4286	257	29	as	as	ADP
aiti-4286	257	30	negatives	negative	NOUN
aiti-4286	257	31	.	.	PUNCT
aiti-4286	258	1	thus	thus	ADV
aiti-4286	258	2	,	,	PUNCT
aiti-4286	258	3	four	four	NUM
aiti-4286	258	4	indicators	indicator	NOUN
aiti-4286	258	5	,	,	PUNCT
aiti-4286	258	6	accuracy	accuracy	NOUN
aiti-4286	258	7	,	,	PUNCT
aiti-4286	258	8	precision	precision	NOUN
aiti-4286	258	9	,	,	PUNCT
aiti-4286	258	10	recall	recall	NOUN
aiti-4286	258	11	,	,	PUNCT
aiti-4286	258	12	and	and	CCONJ
aiti-4286	258	13	f1	f1	NOUN
aiti-4286	258	14	,	,	PUNCT
aiti-4286	258	15	were	be	AUX
aiti-4286	258	16	calculated	calculate	VERB
aiti-4286	258	17	using	use	VERB
aiti-4286	258	18	the	the	DET
aiti-4286	258	19	confusion	confusion	NOUN
aiti-4286	258	20	matrix	matrix	NOUN
aiti-4286	258	21	to	to	PART
aiti-4286	258	22	evaluate	evaluate	VERB
aiti-4286	258	23	the	the	DET
aiti-4286	258	24	performance	performance	NOUN
aiti-4286	258	25	of	of	ADP
aiti-4286	258	26	application	application	NOUN
aiti-4286	258	27	-	-	PUNCT
aiti-4286	258	28	based	base	VERB
aiti-4286	258	29	online	online	ADJ
aiti-4286	258	30	traffic	traffic	NOUN
aiti-4286	258	31	classification	classification	NOUN
aiti-4286	258	32	with	with	ADP
aiti-4286	258	33	different	different	ADJ
aiti-4286	258	34	deep	deep	ADJ
aiti-4286	258	35	learning	learning	NOUN
aiti-4286	258	36	models	model	NOUN
aiti-4286	258	37	.	.	PUNCT
aiti-4286	259	1	the	the	DET
aiti-4286	259	2	online	online	ADJ
aiti-4286	259	3	testing	testing	NOUN
aiti-4286	259	4	result	result	NOUN
aiti-4286	259	5	with	with	ADP
aiti-4286	259	6	four	four	NUM
aiti-4286	259	7	indicators	indicator	NOUN
aiti-4286	259	8	in	in	ADP
aiti-4286	259	9	our	our	PRON
aiti-4286	259	10	sdn	sdn	NOUN
aiti-4286	259	11	testbed	testbe	VERB
aiti-4286	259	12	is	be	AUX
aiti-4286	259	13	shown	show	VERB
aiti-4286	259	14	in	in	ADP
aiti-4286	259	15	table	table	NOUN
aiti-4286	259	16	5	5	NUM
aiti-4286	259	17	.	.	PUNCT
aiti-4286	259	18	table	table	NOUN
aiti-4286	259	19	5	5	NUM
aiti-4286	259	20	online	online	ADJ
aiti-4286	259	21	testing	testing	NOUN
aiti-4286	259	22	result	result	NOUN
aiti-4286	259	23	for	for	ADP
aiti-4286	259	24	different	different	ADJ
aiti-4286	259	25	models	model	NOUN
aiti-4286	259	26	accuracy	accuracy	NOUN
aiti-4286	259	27	precision	precision	NOUN
aiti-4286	259	28	recall	recall	NOUN
aiti-4286	259	29	f1	f1	NOUN
aiti-4286	259	30	-	-	PUNCT
aiti-4286	259	31	score	score	NOUN
aiti-4286	259	32	cnn	cnn	PROPN
aiti-4286	259	33	87.208	87.208	NUM
aiti-4286	259	34	%	%	NOUN
aiti-4286	259	35	85.142	85.142	NUM
aiti-4286	259	36	%	%	NOUN
aiti-4286	259	37	84.428	84.428	NUM
aiti-4286	259	38	%	%	NOUN
aiti-4286	259	39	84.857	84.857	NUM
aiti-4286	259	40	%	%	NOUN
aiti-4286	259	41	mlp	mlp	NOUN
aiti-4286	259	42	87.167	87.167	NUM
aiti-4286	259	43	%	%	NOUN
aiti-4286	259	44	84.428	84.428	NUM
aiti-4286	259	45	%	%	NOUN
aiti-4286	259	46	87.714	87.714	NUM
aiti-4286	259	47	%	%	NOUN
aiti-4286	259	48	84.714	84.714	NUM
aiti-4286	259	49	%	%	NOUN
aiti-4286	259	50	sae	sae	PROPN
aiti-4286	259	51	87.079	87.079	NUM
aiti-4286	259	52	%	%	NOUN
aiti-4286	259	53	85.142	85.142	NUM
aiti-4286	259	54	%	%	NOUN
aiti-4286	259	55	84.285	84.285	NUM
aiti-4286	259	56	%	%	NOUN
aiti-4286	259	57	84.714	84.714	NUM
aiti-4286	259	58	%	%	NOUN
aiti-4286	259	59	based	base	VERB
aiti-4286	259	60	on	on	ADP
aiti-4286	259	61	the	the	DET
aiti-4286	259	62	experimental	experimental	ADJ
aiti-4286	259	63	results	result	NOUN
aiti-4286	259	64	,	,	PUNCT
aiti-4286	259	65	the	the	DET
aiti-4286	259	66	average	average	ADJ
aiti-4286	259	67	accuracies	accuracy	NOUN
aiti-4286	259	68	for	for	ADP
aiti-4286	259	69	different	different	ADJ
aiti-4286	259	70	deep	deep	ADJ
aiti-4286	259	71	learning	learning	NOUN
aiti-4286	259	72	models	model	NOUN
aiti-4286	259	73	are	be	AUX
aiti-4286	259	74	about	about	ADV
aiti-4286	259	75	the	the	DET
aiti-4286	259	76	same	same	ADJ
aiti-4286	259	77	,	,	PUNCT
aiti-4286	259	78	87	87	NUM
aiti-4286	259	79	%	%	NOUN
aiti-4286	259	80	,	,	PUNCT
aiti-4286	259	81	which	which	PRON
aiti-4286	259	82	is	be	AUX
aiti-4286	259	83	smaller	small	ADJ
aiti-4286	259	84	than	than	ADP
aiti-4286	259	85	our	our	PRON
aiti-4286	259	86	offline	offline	ADJ
aiti-4286	259	87	training	training	NOUN
aiti-4286	259	88	result	result	NOUN
aiti-4286	259	89	,	,	PUNCT
aiti-4286	259	90	above	above	ADP
aiti-4286	259	91	93	93	NUM
aiti-4286	259	92	%	%	NOUN
aiti-4286	259	93	.	.	PUNCT
aiti-4286	260	1	due	due	ADP
aiti-4286	260	2	to	to	ADP
aiti-4286	260	3	the	the	DET
aiti-4286	260	4	hardware	hardware	NOUN
aiti-4286	260	5	limitation	limitation	NOUN
aiti-4286	260	6	,	,	PUNCT
aiti-4286	260	7	we	we	PRON
aiti-4286	260	8	might	might	AUX
aiti-4286	260	9	encounter	encounter	VERB
aiti-4286	260	10	possible	possible	ADJ
aiti-4286	260	11	statistics	statistic	NOUN
aiti-4286	260	12	packets	packet	NOUN
aiti-4286	260	13	drop	drop	VERB
aiti-4286	260	14	or	or	CCONJ
aiti-4286	260	15	tcpreplay	tcpreplay	NOUN
aiti-4286	260	16	packets	packet	NOUN
aiti-4286	260	17	drop	drop	VERB
aiti-4286	260	18	when	when	SCONJ
aiti-4286	260	19	the	the	DET
aiti-4286	260	20	testing	testing	NOUN
aiti-4286	260	21	dataset	dataset	NOUN
aiti-4286	260	22	injected	inject	VERB
aiti-4286	260	23	into	into	ADP
aiti-4286	260	24	the	the	DET
aiti-4286	260	25	ovs	ovs	NOUN
aiti-4286	260	26	switch	switch	NOUN
aiti-4286	260	27	according	accord	VERB
aiti-4286	260	28	to	to	ADP
aiti-4286	260	29	the	the	DET
aiti-4286	260	30	same	same	ADJ
aiti-4286	260	31	processing	processing	NOUN
aiti-4286	260	32	time	time	NOUN
aiti-4286	260	33	and	and	CCONJ
aiti-4286	260	34	sequence	sequence	NOUN
aiti-4286	260	35	.	.	PUNCT
aiti-4286	261	1	consequently	consequently	ADV
aiti-4286	261	2	,	,	PUNCT
aiti-4286	261	3	the	the	DET
aiti-4286	261	4	incomplete	incomplete	ADJ
aiti-4286	261	5	dataset	dataset	NOUN
aiti-4286	261	6	due	due	ADP
aiti-4286	261	7	to	to	ADP
aiti-4286	261	8	the	the	DET
aiti-4286	261	9	packets	packet	NOUN
aiti-4286	261	10	drop	drop	NOUN
aiti-4286	261	11	might	might	AUX
aiti-4286	261	12	cause	cause	VERB
aiti-4286	261	13	the	the	DET
aiti-4286	261	14	accuracy	accuracy	NOUN
aiti-4286	261	15	decline	decline	NOUN
aiti-4286	261	16	of	of	ADP
aiti-4286	261	17	the	the	DET
aiti-4286	261	18	online	online	ADJ
aiti-4286	261	19	prediction	prediction	NOUN
aiti-4286	261	20	for	for	ADP
aiti-4286	261	21	different	different	ADJ
aiti-4286	261	22	deep	deep	ADJ
aiti-4286	261	23	learning	learning	NOUN
aiti-4286	261	24	models	model	NOUN
aiti-4286	261	25	as	as	ADP
aiti-4286	261	26	compared	compare	VERB
aiti-4286	261	27	with	with	ADP
aiti-4286	261	28	the	the	DET
aiti-4286	261	29	offline	offline	ADJ
aiti-4286	261	30	cases	case	NOUN
aiti-4286	261	31	.	.	PUNCT
aiti-4286	262	1	on	on	ADP
aiti-4286	262	2	the	the	DET
aiti-4286	262	3	other	other	ADJ
aiti-4286	262	4	hand	hand	NOUN
aiti-4286	262	5	,	,	PUNCT
aiti-4286	262	6	the	the	DET
aiti-4286	262	7	increasing	increase	VERB
aiti-4286	262	8	number	number	NOUN
aiti-4286	262	9	and	and	CCONJ
aiti-4286	262	10	variation	variation	NOUN
aiti-4286	262	11	of	of	ADP
aiti-4286	262	12	application	application	NOUN
aiti-4286	262	13	services	service	NOUN
aiti-4286	262	14	might	might	AUX
aiti-4286	262	15	increase	increase	VERB
aiti-4286	262	16	the	the	DET
aiti-4286	262	17	difficulty	difficulty	NOUN
aiti-4286	262	18	on	on	ADP
aiti-4286	262	19	application	application	NOUN
aiti-4286	262	20	-	-	PUNCT
aiti-4286	262	21	based	base	VERB
aiti-4286	262	22	online	online	ADJ
aiti-4286	262	23	traffic	traffic	NOUN
aiti-4286	262	24	classification	classification	NOUN
aiti-4286	262	25	on	on	ADP
aiti-4286	262	26	sdn	sdn	PROPN
aiti-4286	262	27	networks	network	NOUN
aiti-4286	262	28	with	with	ADP
aiti-4286	262	29	deep	deep	ADJ
aiti-4286	262	30	learning	learning	NOUN
aiti-4286	262	31	models	model	NOUN
aiti-4286	262	32	.	.	PUNCT
aiti-4286	263	1	although	although	SCONJ
aiti-4286	263	2	the	the	DET
aiti-4286	263	3	numbers	number	NOUN
aiti-4286	263	4	of	of	ADP
aiti-4286	263	5	false	false	ADJ
aiti-4286	263	6	positives	positive	NOUN
aiti-4286	263	7	between	between	ADP
aiti-4286	263	8	skypeaudio	skypeaudio	NOUN
aiti-4286	263	9	and	and	CCONJ
aiti-4286	263	10	skypevideo	skypevideo	NOUN
aiti-4286	263	11	categories	category	NOUN
aiti-4286	263	12	are	be	AUX
aiti-4286	263	13	relatively	relatively	ADV
aiti-4286	263	14	high	high	ADJ
aiti-4286	263	15	and	and	CCONJ
aiti-4286	263	16	the	the	DET
aiti-4286	263	17	numbers	number	NOUN
aiti-4286	263	18	of	of	ADP
aiti-4286	263	19	false	false	ADJ
aiti-4286	263	20	positives	positive	NOUN
aiti-4286	263	21	between	between	ADP
aiti-4286	263	22	netflix	netflix	NOUN
aiti-4286	263	23	and	and	CCONJ
aiti-4286	263	24	skypeaudio	skypeaudio	NOUN
aiti-4286	263	25	or	or	CCONJ
aiti-4286	263	26	between	between	ADP
aiti-4286	263	27	youtube	youtube	NOUN
aiti-4286	263	28	and	and	CCONJ
aiti-4286	263	29	skypeaudio	skypeaudio	NOUN
aiti-4286	263	30	also	also	ADV
aiti-4286	263	31	show	show	VERB
aiti-4286	263	32	relatively	relatively	ADV
aiti-4286	263	33	higher	high	ADJ
aiti-4286	263	34	ratio	ratio	NOUN
aiti-4286	263	35	for	for	ADP
aiti-4286	263	36	all	all	DET
aiti-4286	263	37	deep	deep	ADJ
aiti-4286	263	38	learning	learning	NOUN
aiti-4286	263	39	models	model	NOUN
aiti-4286	263	40	,	,	PUNCT
aiti-4286	263	41	the	the	DET
aiti-4286	263	42	values	value	NOUN
aiti-4286	263	43	of	of	ADP
aiti-4286	263	44	precision	precision	NOUN
aiti-4286	263	45	,	,	PUNCT
aiti-4286	263	46	recall	recall	NOUN
aiti-4286	263	47	and	and	CCONJ
aiti-4286	263	48	f1	f1	NOUN
aiti-4286	263	49	-	-	PUNCT
aiti-4286	263	50	score	score	NOUN
aiti-4286	263	51	are	be	AUX
aiti-4286	263	52	all	all	ADV
aiti-4286	263	53	above	above	ADP
aiti-4286	263	54	84	84	NUM
aiti-4286	263	55	%	%	NOUN
aiti-4286	263	56	and	and	CCONJ
aiti-4286	263	57	quite	quite	ADV
aiti-4286	263	58	close	close	ADJ
aiti-4286	263	59	to	to	ADP
aiti-4286	263	60	the	the	DET
aiti-4286	263	61	accuracy	accuracy	NOUN
aiti-4286	263	62	value	value	NOUN
aiti-4286	263	63	.	.	PUNCT
aiti-4286	264	1	as	as	SCONJ
aiti-4286	264	2	we	we	PRON
aiti-4286	264	3	commented	comment	VERB
aiti-4286	264	4	,	,	PUNCT
aiti-4286	264	5	the	the	DET
aiti-4286	264	6	application	application	NOUN
aiti-4286	264	7	services	service	NOUN
aiti-4286	264	8	conducted	conduct	VERB
aiti-4286	264	9	in	in	ADP
aiti-4286	264	10	this	this	DET
aiti-4286	264	11	paper	paper	NOUN
aiti-4286	264	12	with	with	ADP
aiti-4286	264	13	very	very	ADV
aiti-4286	264	14	similar	similar	ADJ
aiti-4286	264	15	characteristics	characteristic	NOUN
aiti-4286	264	16	,	,	PUNCT
aiti-4286	264	17	such	such	ADJ
aiti-4286	264	18	as	as	ADP
aiti-4286	264	19	multimedia	multimedia	NOUN
aiti-4286	264	20	,	,	PUNCT
aiti-4286	264	21	audio	audio	NOUN
aiti-4286	264	22	and	and	CCONJ
aiti-4286	264	23	video	video	NOUN
aiti-4286	264	24	streaming	streaming	NOUN
aiti-4286	264	25	,	,	PUNCT
aiti-4286	264	26	could	could	AUX
aiti-4286	264	27	be	be	AUX
aiti-4286	264	28	very	very	ADV
aiti-4286	264	29	difficult	difficult	ADJ
aiti-4286	264	30	for	for	ADP
aiti-4286	264	31	network	network	NOUN
aiti-4286	264	32	traffic	traffic	NOUN
aiti-4286	264	33	classification	classification	NOUN
aiti-4286	264	34	.	.	PUNCT
aiti-4286	265	1	however	however	ADV
aiti-4286	265	2	,	,	PUNCT
aiti-4286	265	3	with	with	ADP
aiti-4286	265	4	the	the	DET
aiti-4286	265	5	help	help	NOUN
aiti-4286	265	6	of	of	ADP
aiti-4286	265	7	deep	deep	ADJ
aiti-4286	265	8	learning	learning	NOUN
aiti-4286	265	9	models	model	NOUN
aiti-4286	265	10	,	,	PUNCT
aiti-4286	265	11	including	include	VERB
aiti-4286	265	12	cnn	cnn	PROPN
aiti-4286	265	13	,	,	PUNCT
aiti-4286	265	14	mlp	mlp	PROPN
aiti-4286	265	15	and	and	CCONJ
aiti-4286	265	16	sae	sae	PROPN
aiti-4286	265	17	,	,	PUNCT
aiti-4286	265	18	the	the	DET
aiti-4286	265	19	average	average	ADJ
aiti-4286	265	20	online	online	ADJ
aiti-4286	265	21	testing	testing	NOUN
aiti-4286	265	22	accuracies	accuracy	NOUN
aiti-4286	265	23	for	for	ADP
aiti-4286	265	24	all	all	DET
aiti-4286	265	25	models	model	NOUN
aiti-4286	265	26	are	be	AUX
aiti-4286	265	27	all	all	ADV
aiti-4286	265	28	above	above	ADP
aiti-4286	265	29	87	87	NUM
aiti-4286	265	30	%	%	NOUN
aiti-4286	265	31	with	with	ADP
aiti-4286	265	32	quite	quite	ADV
aiti-4286	265	33	close	close	ADJ
aiti-4286	265	34	precision	precision	NOUN
aiti-4286	265	35	,	,	PUNCT
aiti-4286	265	36	recall	recall	NOUN
aiti-4286	265	37	and	and	CCONJ
aiti-4286	265	38	f1	f1	ADJ
aiti-4286	265	39	-	-	PUNCT
aiti-4286	265	40	score	score	NOUN
aiti-4286	265	41	values	value	NOUN
aiti-4286	265	42	.	.	PUNCT
aiti-4286	266	1	5	5	X
aiti-4286	266	2	.	.	X
aiti-4286	266	3	conclusions	conclusion	NOUN
aiti-4286	266	4	deep	deep	ADJ
aiti-4286	266	5	learning	learning	NOUN
aiti-4286	266	6	techniques	technique	NOUN
aiti-4286	266	7	have	have	AUX
aiti-4286	266	8	become	become	VERB
aiti-4286	266	9	one	one	NUM
aiti-4286	266	10	of	of	ADP
aiti-4286	266	11	the	the	DET
aiti-4286	266	12	most	most	ADV
aiti-4286	266	13	interesting	interesting	ADJ
aiti-4286	266	14	and	and	CCONJ
aiti-4286	266	15	practical	practical	ADJ
aiti-4286	266	16	topics	topic	NOUN
aiti-4286	266	17	being	be	AUX
aiti-4286	266	18	applied	apply	VERB
aiti-4286	266	19	on	on	ADP
aiti-4286	266	20	all	all	DET
aiti-4286	266	21	kinds	kind	NOUN
aiti-4286	266	22	of	of	ADP
aiti-4286	266	23	fields	field	NOUN
aiti-4286	266	24	,	,	PUNCT
aiti-4286	266	25	such	such	ADJ
aiti-4286	266	26	as	as	ADP
aiti-4286	266	27	computer	computer	NOUN
aiti-4286	266	28	vision	vision	NOUN
aiti-4286	266	29	,	,	PUNCT
aiti-4286	266	30	audio	audio	ADJ
aiti-4286	266	31	recognition	recognition	NOUN
aiti-4286	266	32	and	and	CCONJ
aiti-4286	266	33	natural	natural	ADJ
aiti-4286	266	34	language	language	NOUN
aiti-4286	266	35	processing	processing	NOUN
aiti-4286	266	36	.	.	PUNCT
aiti-4286	267	1	in	in	ADP
aiti-4286	267	2	this	this	DET
aiti-4286	267	3	paper	paper	NOUN
aiti-4286	267	4	,	,	PUNCT
aiti-4286	267	5	we	we	PRON
aiti-4286	267	6	have	have	AUX
aiti-4286	267	7	proposed	propose	VERB
aiti-4286	267	8	an	an	DET
aiti-4286	267	9	application	application	NOUN
aiti-4286	267	10	-	-	PUNCT
aiti-4286	267	11	based	base	VERB
aiti-4286	267	12	online	online	ADJ
aiti-4286	267	13	and	and	CCONJ
aiti-4286	267	14	offline	offline	ADJ
aiti-4286	267	15	traffic	traffic	NOUN
aiti-4286	267	16	classification	classification	NOUN
aiti-4286	267	17	,	,	PUNCT
aiti-4286	267	18	based	base	VERB
aiti-4286	267	19	on	on	ADP
aiti-4286	267	20	deep	deep	ADJ
aiti-4286	267	21	learning	learning	NOUN
aiti-4286	267	22	mechanisms	mechanism	NOUN
aiti-4286	267	23	,	,	PUNCT
aiti-4286	267	24	over	over	ADP
aiti-4286	267	25	sdn	sdn	PROPN
aiti-4286	267	26	testbed	testbe	VERB
aiti-4286	267	27	.	.	PUNCT
aiti-4286	268	1	the	the	DET
aiti-4286	268	2	designed	design	VERB
aiti-4286	268	3	deep	deep	ADJ
aiti-4286	268	4	learning	learning	NOUN
aiti-4286	268	5	architecture	architecture	NOUN
aiti-4286	268	6	and	and	CCONJ
aiti-4286	268	7	scheme	scheme	NOUN
aiti-4286	268	8	consists	consist	NOUN
aiti-4286	268	9	of	of	ADP
aiti-4286	268	10	three	three	NUM
aiti-4286	268	11	deep	deep	ADJ
aiti-4286	268	12	learning	learning	NOUN
aiti-4286	268	13	models	model	NOUN
aiti-4286	268	14	,	,	PUNCT
aiti-4286	268	15	mlp	mlp	PROPN
aiti-4286	268	16	,	,	PUNCT
aiti-4286	268	17	sae	sae	PROPN
aiti-4286	268	18	,	,	PUNCT
aiti-4286	268	19	and	and	CCONJ
aiti-4286	268	20	cnn	cnn	PROPN
aiti-4286	268	21	,	,	PUNCT
aiti-4286	268	22	in	in	ADP
aiti-4286	268	23	the	the	DET
aiti-4286	268	24	sdn	sdn	NOUN
aiti-4286	268	25	testbed	testbe	VERB
aiti-4286	268	26	.	.	PUNCT
aiti-4286	269	1	we	we	PRON
aiti-4286	269	2	have	have	AUX
aiti-4286	269	3	applied	apply	VERB
aiti-4286	269	4	an	an	DET
aiti-4286	269	5	open	open	ADJ
aiti-4286	269	6	network	network	NOUN
aiti-4286	269	7	traffic	traffic	NOUN
aiti-4286	269	8	dataset	dataset	VERB
aiti-4286	269	9	with	with	ADP
aiti-4286	269	10	seven	seven	NUM
aiti-4286	269	11	most	most	ADV
aiti-4286	269	12	popular	popular	ADJ
aiti-4286	269	13	applications	application	NOUN
aiti-4286	269	14	as	as	ADP
aiti-4286	269	15	the	the	DET
aiti-4286	269	16	deep	deep	ADJ
aiti-4286	269	17	learning	learning	NOUN
aiti-4286	269	18	training	training	NOUN
aiti-4286	269	19	and	and	CCONJ
aiti-4286	269	20	testing	testing	NOUN
aiti-4286	269	21	datasets	dataset	NOUN
aiti-4286	269	22	.	.	PUNCT
aiti-4286	270	1	by	by	ADP
aiti-4286	270	2	using	use	VERB
aiti-4286	270	3	the	the	DET
aiti-4286	270	4	tcpreplay	tcpreplay	NOUN
aiti-4286	270	5	tool	tool	NOUN
aiti-4286	270	6	,	,	PUNCT
aiti-4286	270	7	the	the	DET
aiti-4286	270	8	dataset	dataset	NOUN
aiti-4286	270	9	traffic	traffic	NOUN
aiti-4286	270	10	samples	sample	NOUN
aiti-4286	270	11	are	be	AUX
aiti-4286	270	12	re	re	VERB
aiti-4286	270	13	-	-	VERB
aiti-4286	270	14	produced	produce	VERB
aiti-4286	270	15	and	and	CCONJ
aiti-4286	270	16	analyzed	analyze	VERB
aiti-4286	270	17	in	in	ADP
aiti-4286	270	18	our	our	PRON
aiti-4286	270	19	sdn	sdn	NOUN
aiti-4286	270	20	testbed	testbe	VERB
aiti-4286	270	21	to	to	PART
aiti-4286	270	22	emulate	emulate	VERB
aiti-4286	270	23	the	the	DET
aiti-4286	270	24	online	online	ADJ
aiti-4286	270	25	traffic	traffic	NOUN
aiti-4286	270	26	service	service	NOUN
aiti-4286	270	27	.	.	PUNCT
aiti-4286	271	1	we	we	PRON
aiti-4286	271	2	have	have	AUX
aiti-4286	271	3	conducted	conduct	VERB
aiti-4286	271	4	performance	performance	NOUN
aiti-4286	271	5	analysis	analysis	NOUN
aiti-4286	271	6	,	,	PUNCT
aiti-4286	271	7	in	in	ADP
aiti-4286	271	8	terms	term	NOUN
aiti-4286	271	9	of	of	ADP
aiti-4286	271	10	accuracy	accuracy	NOUN
aiti-4286	271	11	,	,	PUNCT
aiti-4286	271	12	precision	precision	NOUN
aiti-4286	271	13	,	,	PUNCT
aiti-4286	271	14	recall	recall	NOUN
aiti-4286	271	15	,	,	PUNCT
aiti-4286	271	16	and	and	CCONJ
aiti-4286	271	17	f1	f1	NOUN
aiti-4286	271	18	indicators	indicator	NOUN
aiti-4286	271	19	,	,	PUNCT
aiti-4286	271	20	and	and	CCONJ
aiti-4286	271	21	compared	compare	VERB
aiti-4286	271	22	the	the	DET
aiti-4286	271	23	results	result	NOUN
aiti-4286	271	24	with	with	ADP
aiti-4286	271	25	three	three	NUM
aiti-4286	271	26	deep	deep	ADJ
aiti-4286	271	27	learning	learning	NOUN
aiti-4286	271	28	models	model	NOUN
aiti-4286	271	29	.	.	PUNCT
aiti-4286	272	1	the	the	DET
aiti-4286	272	2	offline	offline	ADJ
aiti-4286	272	3	training	training	NOUN
aiti-4286	272	4	results	result	NOUN
aiti-4286	272	5	have	have	AUX
aiti-4286	272	6	achieved	achieve	VERB
aiti-4286	272	7	more	more	ADJ
aiti-4286	272	8	than	than	ADP
aiti-4286	272	9	93	93	NUM
aiti-4286	272	10	%	%	NOUN
aiti-4286	272	11	accuracy	accuracy	NOUN
aiti-4286	272	12	on	on	ADP
aiti-4286	272	13	identifying	identify	VERB
aiti-4286	272	14	seven	seven	NUM
aiti-4286	272	15	popular	popular	ADJ
aiti-4286	272	16	applications	application	NOUN
aiti-4286	272	17	for	for	ADP
aiti-4286	272	18	all	all	DET
aiti-4286	272	19	three	three	NUM
aiti-4286	272	20	different	different	ADJ
aiti-4286	272	21	models	model	NOUN
aiti-4286	272	22	.	.	PUNCT
aiti-4286	273	1	furthermore	furthermore	ADV
aiti-4286	273	2	,	,	PUNCT
aiti-4286	273	3	we	we	PRON
aiti-4286	273	4	have	have	AUX
aiti-4286	273	5	achieved	achieve	VERB
aiti-4286	273	6	87	87	NUM
aiti-4286	273	7	%	%	NOUN
aiti-4286	273	8	accuracy	accuracy	NOUN
aiti-4286	273	9	for	for	ADP
aiti-4286	273	10	the	the	DET
aiti-4286	273	11	application	application	NOUN
aiti-4286	273	12	-	-	PUNCT
aiti-4286	273	13	based	base	VERB
aiti-4286	273	14	online	online	ADJ
aiti-4286	273	15	testing	testing	NOUN
aiti-4286	273	16	prediction	prediction	NOUN
aiti-4286	273	17	.	.	PUNCT
aiti-4286	274	1	advances	advance	NOUN
aiti-4286	274	2	in	in	ADP
aiti-4286	274	3	technology	technology	NOUN
aiti-4286	274	4	innovation	innovation	NOUN
aiti-4286	274	5	,	,	PUNCT
aiti-4286	274	6	vol	vol	NOUN
aiti-4286	274	7	.	.	PROPN
aiti-4286	274	8	5	5	NUM
aiti-4286	274	9	,	,	PUNCT
aiti-4286	274	10	no	no	INTJ
aiti-4286	274	11	.	.	NOUN
aiti-4286	274	12	4	4	NUM
aiti-4286	274	13	,	,	PUNCT
aiti-4286	274	14	2020	2020	NUM
aiti-4286	274	15	,	,	PUNCT
aiti-4286	274	16	pp	pp	ADV
aiti-4286	274	17	.	.	PUNCT
aiti-4286	275	1	216	216	NUM
aiti-4286	275	2	-	-	SYM
aiti-4286	275	3	229	229	NUM
aiti-4286	275	4	228	228	NUM
aiti-4286	275	5	in	in	ADP
aiti-4286	275	6	the	the	DET
aiti-4286	275	7	future	future	NOUN
aiti-4286	275	8	,	,	PUNCT
aiti-4286	275	9	we	we	PRON
aiti-4286	275	10	will	will	AUX
aiti-4286	275	11	correlate	correlate	VERB
aiti-4286	275	12	the	the	DET
aiti-4286	275	13	deep	deep	ADJ
aiti-4286	275	14	learning	learning	NOUN
aiti-4286	275	15	parameters	parameter	NOUN
aiti-4286	275	16	,	,	PUNCT
aiti-4286	275	17	models	model	NOUN
aiti-4286	275	18	and	and	CCONJ
aiti-4286	275	19	accuracy	accuracy	NOUN
aiti-4286	275	20	to	to	PART
aiti-4286	275	21	improve	improve	VERB
aiti-4286	275	22	the	the	DET
aiti-4286	275	23	overall	overall	ADJ
aiti-4286	275	24	learning	learning	NOUN
aiti-4286	275	25	performance	performance	NOUN
aiti-4286	275	26	.	.	PUNCT
aiti-4286	276	1	the	the	DET
aiti-4286	276	2	real	real	ADJ
aiti-4286	276	3	online	online	ADJ
aiti-4286	276	4	packets	packet	NOUN
aiti-4286	276	5	measurement	measurement	NOUN
aiti-4286	276	6	and	and	CCONJ
aiti-4286	276	7	analysis	analysis	NOUN
aiti-4286	276	8	in	in	ADP
aiti-4286	276	9	sdn	sdn	NOUN
aiti-4286	276	10	network	network	NOUN
aiti-4286	276	11	will	will	AUX
aiti-4286	276	12	be	be	AUX
aiti-4286	276	13	conducted	conduct	VERB
aiti-4286	276	14	in	in	ADP
aiti-4286	276	15	the	the	DET
aiti-4286	276	16	next	next	ADJ
aiti-4286	276	17	step	step	NOUN
aiti-4286	276	18	.	.	PUNCT
aiti-4286	277	1	the	the	DET
aiti-4286	277	2	network	network	NOUN
aiti-4286	277	3	slicing	slice	VERB
aiti-4286	277	4	in	in	ADP
aiti-4286	277	5	sdn	sdn	PROPN
aiti-4286	277	6	network	network	NOUN
aiti-4286	277	7	with	with	ADP
aiti-4286	277	8	qos	qos	PROPN
aiti-4286	277	9	mechanism	mechanism	NOUN
aiti-4286	277	10	followed	follow	VERB
aiti-4286	277	11	by	by	ADP
aiti-4286	277	12	successful	successful	ADJ
aiti-4286	277	13	traffic	traffic	NOUN
aiti-4286	277	14	classification	classification	NOUN
aiti-4286	277	15	could	could	AUX
aiti-4286	277	16	be	be	AUX
aiti-4286	277	17	the	the	DET
aiti-4286	277	18	further	further	ADJ
aiti-4286	277	19	research	research	NOUN
aiti-4286	277	20	.	.	PUNCT
aiti-4286	278	1	acknowledgement	acknowledgement	NOUN
aiti-4286	278	2	this	this	DET
aiti-4286	278	3	research	research	NOUN
aiti-4286	278	4	was	be	AUX
aiti-4286	278	5	supported	support	VERB
aiti-4286	278	6	by	by	ADP
aiti-4286	278	7	research	research	NOUN
aiti-4286	278	8	grants	grant	NOUN
aiti-4286	278	9	from	from	ADP
aiti-4286	278	10	ministry	ministry	PROPN
aiti-4286	278	11	of	of	ADP
aiti-4286	278	12	science	science	NOUN
aiti-4286	278	13	and	and	CCONJ
aiti-4286	278	14	technology	technology	NOUN
aiti-4286	278	15	,	,	PUNCT
aiti-4286	278	16	taiwan	taiwan	PROPN
aiti-4286	278	17	(	(	PUNCT
aiti-4286	278	18	most	most	ADJ
aiti-4286	278	19	107	107	NUM
aiti-4286	278	20	-	-	SYM
aiti-4286	278	21	2221	2221	NUM
aiti-4286	278	22	-	-	PUNCT
aiti-4286	278	23	e-142	e-142	NOUN
aiti-4286	278	24	-	-	PUNCT
aiti-4286	278	25	002	002	NUM
aiti-4286	278	26	-	-	PUNCT
aiti-4286	278	27	my2	my2	NOUN
aiti-4286	278	28	)	)	PUNCT
aiti-4286	278	29	as	as	ADV
aiti-4286	278	30	well	well	ADV
aiti-4286	278	31	as	as	ADP
aiti-4286	278	32	mobile	mobile	ADJ
aiti-4286	278	33	broadband	broadband	NOUN
aiti-4286	278	34	promotion	promotion	NOUN
aiti-4286	278	35	project	project	NOUN
aiti-4286	278	36	,	,	PUNCT
aiti-4286	278	37	ministry	ministry	PROPN
aiti-4286	278	38	of	of	ADP
aiti-4286	278	39	education	education	PROPN
aiti-4286	278	40	,	,	PUNCT
aiti-4286	278	41	taiwan	taiwan	PROPN
aiti-4286	278	42	(	(	PUNCT
aiti-4286	278	43	no	no	INTJ
aiti-4286	278	44	.	.	NOUN
aiti-4286	278	45	1070208431	1070208431	NUM
aiti-4286	278	46	g	g	NOUN
aiti-4286	278	47	)	)	PUNCT
aiti-4286	278	48	.	.	PUNCT
aiti-4286	279	1	conflicts	conflict	NOUN
aiti-4286	279	2	of	of	ADP
aiti-4286	279	3	interest	interest	NOUN
aiti-4286	279	4	the	the	DET
aiti-4286	279	5	authors	author	NOUN
aiti-4286	279	6	declare	declare	VERB
aiti-4286	279	7	no	no	DET
aiti-4286	279	8	conflict	conflict	NOUN
aiti-4286	279	9	of	of	ADP
aiti-4286	279	10	interest	interest	NOUN
aiti-4286	279	11	.	.	PUNCT
aiti-4286	280	1	references	reference	NOUN
aiti-4286	280	2	[	[	X
aiti-4286	280	3	1	1	NUM
aiti-4286	280	4	]	]	PUNCT
aiti-4286	280	5	m.	m.	NOUN
aiti-4286	280	6	n.	n.	PROPN
aiti-4286	280	7	a.	a.	PROPN
aiti-4286	280	8	sheikh	sheikh	PROPN
aiti-4286	280	9	,	,	PUNCT
aiti-4286	280	10	“	"	PUNCT
aiti-4286	280	11	sdn	sdn	NOUN
aiti-4286	280	12	-	-	PUNCT
aiti-4286	280	13	based	base	VERB
aiti-4286	280	14	approach	approach	NOUN
aiti-4286	280	15	to	to	PART
aiti-4286	280	16	evaluate	evaluate	VERB
aiti-4286	280	17	the	the	DET
aiti-4286	280	18	best	good	ADJ
aiti-4286	280	19	controller	controller	NOUN
aiti-4286	280	20	:	:	PUNCT
aiti-4286	280	21	internal	internal	ADJ
aiti-4286	280	22	controller	controller	NOUN
aiti-4286	280	23	nox	nox	NOUN
aiti-4286	280	24	and	and	CCONJ
aiti-4286	280	25	external	external	ADJ
aiti-4286	280	26	controllers	controller	NOUN
aiti-4286	280	27	pox	pox	NOUN
aiti-4286	280	28	,	,	PUNCT
aiti-4286	280	29	onos	onos	PROPN
aiti-4286	280	30	,	,	PUNCT
aiti-4286	280	31	ryu	ryu	PROPN
aiti-4286	280	32	,	,	PUNCT
aiti-4286	280	33	”	"	PUNCT
aiti-4286	280	34	global	global	ADJ
aiti-4286	280	35	journal	journal	NOUN
aiti-4286	280	36	of	of	ADP
aiti-4286	280	37	computer	computer	NOUN
aiti-4286	280	38	science	science	NOUN
aiti-4286	280	39	and	and	CCONJ
aiti-4286	280	40	technology	technology	NOUN
aiti-4286	280	41	,	,	PUNCT
aiti-4286	280	42	vol	vol	NOUN
aiti-4286	280	43	.	.	PROPN
aiti-4286	281	1	19	19	NUM
aiti-4286	281	2	,	,	PUNCT
aiti-4286	281	3	no	no	INTJ
aiti-4286	281	4	.	.	NOUN
aiti-4286	281	5	1	1	NUM
aiti-4286	281	6	-	-	SYM
aiti-4286	281	7	e	e	NOUN
aiti-4286	281	8	,	,	PUNCT
aiti-4286	281	9	february	february	PROPN
aiti-4286	281	10	2019	2019	NUM
aiti-4286	281	11	.	.	PUNCT
aiti-4286	282	1	[	[	X
aiti-4286	282	2	2	2	NUM
aiti-4286	282	3	]	]	X
aiti-4286	282	4	h.	h.	PROPN
aiti-4286	282	5	c.	c.	PROPN
aiti-4286	282	6	chu	chu	PROPN
aiti-4286	282	7	,	,	PUNCT
aiti-4286	282	8	y.	y.	PROPN
aiti-4286	282	9	x.	x.	PROPN
aiti-4286	282	10	liao	liao	PROPN
aiti-4286	282	11	,	,	PUNCT
aiti-4286	282	12	l.	l.	PROPN
aiti-4286	282	13	h.	h.	PROPN
aiti-4286	282	14	chang	chang	PROPN
aiti-4286	282	15	,	,	PUNCT
aiti-4286	282	16	and	and	CCONJ
aiti-4286	282	17	y.	y.	PROPN
aiti-4286	282	18	h.	h.	PROPN
aiti-4286	282	19	lee	lee	PROPN
aiti-4286	282	20	,	,	PUNCT
aiti-4286	282	21	“	"	PUNCT
aiti-4286	282	22	traffic	traffic	NOUN
aiti-4286	282	23	light	light	NOUN
aiti-4286	282	24	cycle	cycle	NOUN
aiti-4286	282	25	configuration	configuration	NOUN
aiti-4286	282	26	of	of	ADP
aiti-4286	282	27	single	single	ADJ
aiti-4286	282	28	intersection	intersection	NOUN
aiti-4286	282	29	based	base	VERB
aiti-4286	282	30	on	on	ADP
aiti-4286	282	31	modified	modified	ADJ
aiti-4286	282	32	q	q	ADJ
aiti-4286	282	33	-	-	PUNCT
aiti-4286	282	34	learning	learning	NOUN
aiti-4286	282	35	”	"	PUNCT
aiti-4286	282	36	,	,	PUNCT
aiti-4286	282	37	applied	apply	VERB
aiti-4286	282	38	sciences	science	NOUN
aiti-4286	282	39	,	,	PUNCT
aiti-4286	282	40	vol	vol	NOUN
aiti-4286	282	41	.	.	NOUN
aiti-4286	282	42	9	9	NUM
aiti-4286	282	43	,	,	PUNCT
aiti-4286	282	44	no	no	INTJ
aiti-4286	282	45	.	.	NOUN
aiti-4286	282	46	21	21	NUM
aiti-4286	282	47	,	,	PUNCT
aiti-4286	282	48	article	article	NOUN
aiti-4286	282	49	4558	4558	NUM
aiti-4286	282	50	,	,	PUNCT
aiti-4286	282	51	october	october	PROPN
aiti-4286	282	52	2019	2019	NUM
aiti-4286	282	53	.	.	PUNCT
aiti-4286	283	1	[	[	X
aiti-4286	283	2	3	3	X
aiti-4286	283	3	]	]	X
aiti-4286	283	4	s.	s.	PROPN
aiti-4286	283	5	rezaei	rezaei	PROPN
aiti-4286	283	6	and	and	CCONJ
aiti-4286	283	7	x.	x.	PROPN
aiti-4286	283	8	liu	liu	PROPN
aiti-4286	283	9	,	,	PUNCT
aiti-4286	283	10	“	"	PUNCT
aiti-4286	283	11	deep	deep	ADJ
aiti-4286	283	12	learning	learning	NOUN
aiti-4286	283	13	for	for	ADP
aiti-4286	283	14	encrypted	encrypt	VERB
aiti-4286	283	15	traffic	traffic	NOUN
aiti-4286	283	16	classification	classification	NOUN
aiti-4286	283	17	:	:	PUNCT
aiti-4286	283	18	an	an	DET
aiti-4286	283	19	overview	overview	NOUN
aiti-4286	283	20	,	,	PUNCT
aiti-4286	283	21	”	"	PUNCT
aiti-4286	283	22	ieee	ieee	NOUN
aiti-4286	283	23	communications	communication	NOUN
aiti-4286	283	24	magazine	magazine	NOUN
aiti-4286	283	25	,	,	PUNCT
aiti-4286	283	26	vol	vol	NOUN
aiti-4286	283	27	.	.	PROPN
aiti-4286	283	28	57	57	NUM
aiti-4286	283	29	,	,	PUNCT
aiti-4286	283	30	no	no	INTJ
aiti-4286	283	31	.	.	NOUN
aiti-4286	283	32	5	5	NUM
aiti-4286	283	33	,	,	PUNCT
aiti-4286	283	34	pp	pp	ADJ
aiti-4286	283	35	.	.	PUNCT
aiti-4286	284	1	76	76	NUM
aiti-4286	284	2	-	-	SYM
aiti-4286	284	3	81	81	NUM
aiti-4286	284	4	,	,	PUNCT
aiti-4286	284	5	may	may	AUX
aiti-4286	284	6	2019	2019	NUM
aiti-4286	284	7	.	.	PUNCT
aiti-4286	285	1	[	[	X
aiti-4286	285	2	4	4	X
aiti-4286	285	3	]	]	PUNCT
aiti-4286	285	4	m.	m.	NOUN
aiti-4286	285	5	abadi	abadi	PROPN
aiti-4286	285	6	,	,	PUNCT
aiti-4286	285	7	p.	p.	PROPN
aiti-4286	285	8	barham	barham	PROPN
aiti-4286	285	9	,	,	PUNCT
aiti-4286	285	10	j.	j.	PROPN
aiti-4286	285	11	chen	chen	PROPN
aiti-4286	285	12	,	,	PUNCT
aiti-4286	285	13	z.	z.	PROPN
aiti-4286	285	14	chen	chen	PROPN
aiti-4286	285	15	,	,	PUNCT
aiti-4286	285	16	a.	a.	PROPN
aiti-4286	285	17	davis	davis	PROPN
aiti-4286	285	18	,	,	PUNCT
aiti-4286	285	19	j.	j.	PROPN
aiti-4286	285	20	dean	dean	PROPN
aiti-4286	285	21	,	,	PUNCT
aiti-4286	285	22	et	et	PROPN
aiti-4286	285	23	al	al	PROPN
aiti-4286	285	24	,	,	PUNCT
aiti-4286	285	25	“	"	PUNCT
aiti-4286	285	26	tensorflow	tensorflow	NOUN
aiti-4286	285	27	:	:	PUNCT
aiti-4286	285	28	a	a	DET
aiti-4286	285	29	system	system	NOUN
aiti-4286	285	30	for	for	ADP
aiti-4286	285	31	large	large	ADJ
aiti-4286	285	32	-	-	PUNCT
aiti-4286	285	33	scale	scale	NOUN
aiti-4286	285	34	machine	machine	NOUN
aiti-4286	285	35	learning	learning	NOUN
aiti-4286	285	36	,	,	PUNCT
aiti-4286	285	37	”	"	PUNCT
aiti-4286	285	38	12th	12th	ADJ
aiti-4286	285	39	usenix	usenix	NOUN
aiti-4286	285	40	conference	conference	NOUN
aiti-4286	285	41	on	on	ADP
aiti-4286	285	42	operating	operating	NOUN
aiti-4286	285	43	systems	system	NOUN
aiti-4286	285	44	design	design	NOUN
aiti-4286	285	45	and	and	CCONJ
aiti-4286	285	46	implementation	implementation	NOUN
aiti-4286	285	47	,	,	PUNCT
aiti-4286	285	48	august	august	PROPN
aiti-4286	285	49	.	.	PROPN
aiti-4286	285	50	2016	2016	NUM
aiti-4286	285	51	,	,	PUNCT
aiti-4286	285	52	pp	pp	ADJ
aiti-4286	285	53	.	.	PUNCT
aiti-4286	286	1	265	265	NUM
aiti-4286	286	2	-	-	SYM
aiti-4286	286	3	283	283	NUM
aiti-4286	286	4	.	.	PUNCT
aiti-4286	287	1	[	[	X
aiti-4286	287	2	5	5	NUM
aiti-4286	287	3	]	]	PUNCT
aiti-4286	287	4	“	"	PUNCT
aiti-4286	287	5	keras	keras	PROPN
aiti-4286	287	6	,	,	PUNCT
aiti-4286	287	7	”	"	PUNCT
aiti-4286	287	8	https://keras.io/	https://keras.io/	PROPN
aiti-4286	287	9	,	,	PUNCT
aiti-4286	287	10	june	june	PROPN
aiti-4286	287	11	2019	2019	NUM
aiti-4286	287	12	.	.	PUNCT
aiti-4286	288	1	[	[	X
aiti-4286	288	2	6	6	NUM
aiti-4286	288	3	]	]	PUNCT
aiti-4286	288	4	“	"	PUNCT
aiti-4286	288	5	open	open	ADJ
aiti-4286	288	6	networking	network	VERB
aiti-4286	288	7	foundation	foundation	NOUN
aiti-4286	288	8	,	,	PUNCT
aiti-4286	288	9	”	"	PUNCT
aiti-4286	288	10	https://www.opennetworking.org/	https://www.opennetworking.org/	NOUN
aiti-4286	288	11	,	,	PUNCT
aiti-4286	288	12	june	june	PROPN
aiti-4286	288	13	2019	2019	NUM
aiti-4286	288	14	.	.	PUNCT
aiti-4286	289	1	[	[	X
aiti-4286	289	2	7	7	X
aiti-4286	289	3	]	]	PUNCT
aiti-4286	289	4	“	"	PUNCT
aiti-4286	289	5	ryu	ryu	PROPN
aiti-4286	289	6	sdn	sdn	PROPN
aiti-4286	289	7	framework	framework	NOUN
aiti-4286	289	8	community	community	NOUN
aiti-4286	289	9	,	,	PUNCT
aiti-4286	289	10	”	"	PUNCT
aiti-4286	289	11	https://ryu-sdn.org/	https://ryu-sdn.org/	PROPN
aiti-4286	289	12	,	,	PUNCT
aiti-4286	289	13	june	june	PROPN
aiti-4286	289	14	2019	2019	NUM
aiti-4286	289	15	.	.	PUNCT
aiti-4286	290	1	[	[	X
aiti-4286	290	2	8	8	NUM
aiti-4286	290	3	]	]	PUNCT
aiti-4286	290	4	“	"	PUNCT
aiti-4286	290	5	tcpreplay	tcpreplay	NOUN
aiti-4286	290	6	,	,	PUNCT
aiti-4286	290	7	”	"	PUNCT
aiti-4286	290	8	https://tcpreplay.appneta.com/.	https://tcpreplay.appneta.com/.	NOUN
aiti-4286	290	9	[	[	X
aiti-4286	290	10	9	9	NUM
aiti-4286	290	11	]	]	X
aiti-4286	290	12	g.	g.	PROPN
aiti-4286	290	13	draper	draper	PROPN
aiti-4286	290	14	-	-	PUNCT
aiti-4286	290	15	gil	gil	PROPN
aiti-4286	290	16	,	,	PUNCT
aiti-4286	290	17	a.	a.	PROPN
aiti-4286	290	18	h.	h.	PROPN
aiti-4286	290	19	lashkari	lashkari	PROPN
aiti-4286	290	20	,	,	PUNCT
aiti-4286	290	21	m.	m.	PROPN
aiti-4286	290	22	mamun	mamun	PROPN
aiti-4286	290	23	,	,	PUNCT
aiti-4286	290	24	and	and	CCONJ
aiti-4286	290	25	a.	a.	NOUN
aiti-4286	290	26	a.	a.	NOUN
aiti-4286	290	27	ghorbani	ghorbani	PROPN
aiti-4286	290	28	,	,	PUNCT
aiti-4286	290	29	“	"	PUNCT
aiti-4286	290	30	characterization	characterization	NOUN
aiti-4286	290	31	of	of	ADP
aiti-4286	290	32	encrypted	encrypt	VERB
aiti-4286	290	33	and	and	CCONJ
aiti-4286	290	34	vpn	vpn	NOUN
aiti-4286	290	35	traffic	traffic	NOUN
aiti-4286	290	36	using	use	VERB
aiti-4286	290	37	time	time	NOUN
aiti-4286	290	38	-	-	PUNCT
aiti-4286	290	39	related	relate	VERB
aiti-4286	290	40	features	feature	NOUN
aiti-4286	290	41	,	,	PUNCT
aiti-4286	290	42	”	"	PUNCT
aiti-4286	290	43	proc	proc	NOUN
aiti-4286	290	44	.	.	PUNCT
aiti-4286	291	1	2nd	2nd	ADJ
aiti-4286	291	2	international	international	ADJ
aiti-4286	291	3	conference	conference	NOUN
aiti-4286	291	4	on	on	ADP
aiti-4286	291	5	information	information	NOUN
aiti-4286	291	6	systems	system	NOUN
aiti-4286	291	7	security	security	NOUN
aiti-4286	291	8	and	and	CCONJ
aiti-4286	291	9	privacy	privacy	NOUN
aiti-4286	291	10	,	,	PUNCT
aiti-4286	291	11	february	february	PROPN
aiti-4286	291	12	2016	2016	NUM
aiti-4286	291	13	,	,	PUNCT
aiti-4286	291	14	pp	pp	ADV
aiti-4286	291	15	.	.	PUNCT
aiti-4286	292	1	407	407	NUM
aiti-4286	292	2	-	-	SYM
aiti-4286	292	3	414	414	NUM
aiti-4286	292	4	.	.	PUNCT
aiti-4286	293	1	[	[	X
aiti-4286	293	2	10	10	NUM
aiti-4286	293	3	]	]	PUNCT
aiti-4286	293	4	j.	j.	PROPN
aiti-4286	293	5	xie	xie	PROPN
aiti-4286	293	6	,	,	PUNCT
aiti-4286	293	7	f.	f.	PROPN
aiti-4286	293	8	r.	r.	PROPN
aiti-4286	293	9	yu	yu	PROPN
aiti-4286	293	10	,	,	PUNCT
aiti-4286	293	11	t.	t.	PROPN
aiti-4286	293	12	huang	huang	PROPN
aiti-4286	293	13	,	,	PUNCT
aiti-4286	293	14	r.	r.	PROPN
aiti-4286	293	15	xie	xie	PROPN
aiti-4286	293	16	,	,	PUNCT
aiti-4286	293	17	j.	j.	PROPN
aiti-4286	293	18	liu	liu	PROPN
aiti-4286	293	19	,	,	PUNCT
aiti-4286	293	20	c.	c.	PROPN
aiti-4286	293	21	wang	wang	PROPN
aiti-4286	293	22	,	,	PUNCT
aiti-4286	293	23	and	and	CCONJ
aiti-4286	293	24	y.	y.	PROPN
aiti-4286	293	25	liu	liu	PROPN
aiti-4286	293	26	,	,	PUNCT
aiti-4286	293	27	“	"	PUNCT
aiti-4286	293	28	a	a	DET
aiti-4286	293	29	survey	survey	NOUN
aiti-4286	293	30	of	of	ADP
aiti-4286	293	31	machine	machine	NOUN
aiti-4286	293	32	learning	learn	VERB
aiti-4286	293	33	techniques	technique	NOUN
aiti-4286	293	34	applied	apply	VERB
aiti-4286	293	35	to	to	ADP
aiti-4286	293	36	software	software	NOUN
aiti-4286	293	37	defined	define	VERB
aiti-4286	293	38	networking	network	VERB
aiti-4286	293	39	(	(	PUNCT
aiti-4286	293	40	sdn	sdn	PROPN
aiti-4286	293	41	):	):	PUNCT
aiti-4286	293	42	research	research	NOUN
aiti-4286	293	43	issues	issue	NOUN
aiti-4286	293	44	and	and	CCONJ
aiti-4286	293	45	challenges	challenge	NOUN
aiti-4286	293	46	,	,	PUNCT
aiti-4286	293	47	”	"	PUNCT
aiti-4286	293	48	ieee	ieee	NOUN
aiti-4286	293	49	communications	communication	NOUN
aiti-4286	293	50	surveys	survey	NOUN
aiti-4286	293	51	&	&	CCONJ
aiti-4286	293	52	tutorials	tutorial	NOUN
aiti-4286	293	53	,	,	PUNCT
aiti-4286	293	54	vol	vol	NOUN
aiti-4286	293	55	.	.	PROPN
aiti-4286	294	1	21	21	NUM
aiti-4286	294	2	,	,	PUNCT
aiti-4286	294	3	no	no	INTJ
aiti-4286	294	4	.	.	NOUN
aiti-4286	294	5	1	1	NUM
aiti-4286	294	6	,	,	PUNCT
aiti-4286	294	7	pp	pp	ADJ
aiti-4286	294	8	.	.	PUNCT
aiti-4286	295	1	393	393	NUM
aiti-4286	295	2	-	-	SYM
aiti-4286	295	3	430	430	NUM
aiti-4286	295	4	,	,	PUNCT
aiti-4286	295	5	2019	2019	NUM
aiti-4286	295	6	.	.	PUNCT
aiti-4286	296	1	[	[	X
aiti-4286	296	2	11	11	NUM
aiti-4286	296	3	]	]	PUNCT
aiti-4286	296	4	p.	p.	NOUN
aiti-4286	296	5	amaral	amaral	PROPN
aiti-4286	296	6	,	,	PUNCT
aiti-4286	296	7	j.	j.	PROPN
aiti-4286	296	8	dinis	dinis	PROPN
aiti-4286	296	9	,	,	PUNCT
aiti-4286	296	10	p.	p.	NOUN
aiti-4286	296	11	pinto	pinto	PROPN
aiti-4286	296	12	,	,	PUNCT
aiti-4286	296	13	l.	l.	PROPN
aiti-4286	296	14	bernardo	bernardo	PROPN
aiti-4286	296	15	,	,	PUNCT
aiti-4286	296	16	j.	j.	PROPN
aiti-4286	296	17	tavares	tavares	PROPN
aiti-4286	296	18	,	,	PUNCT
aiti-4286	296	19	and	and	CCONJ
aiti-4286	296	20	h.	h.	PROPN
aiti-4286	296	21	s.	s.	PROPN
aiti-4286	296	22	mamede	mamede	PROPN
aiti-4286	296	23	,	,	PUNCT
aiti-4286	296	24	“	"	PUNCT
aiti-4286	296	25	machine	machine	NOUN
aiti-4286	296	26	learning	learning	NOUN
aiti-4286	296	27	in	in	ADP
aiti-4286	296	28	software	software	NOUN
aiti-4286	296	29	defined	define	VERB
aiti-4286	296	30	networks	network	NOUN
aiti-4286	296	31	:	:	PUNCT
aiti-4286	296	32	data	datum	NOUN
aiti-4286	296	33	collection	collection	NOUN
aiti-4286	296	34	and	and	CCONJ
aiti-4286	296	35	traffic	traffic	NOUN
aiti-4286	296	36	classification	classification	NOUN
aiti-4286	296	37	,	,	PUNCT
aiti-4286	296	38	”	"	PUNCT
aiti-4286	296	39	ieee	ieee	NOUN
aiti-4286	296	40	24th	24th	NOUN
aiti-4286	296	41	international	international	ADJ
aiti-4286	296	42	conference	conference	NOUN
aiti-4286	296	43	on	on	ADP
aiti-4286	296	44	network	network	NOUN
aiti-4286	296	45	protocols	protocol	NOUN
aiti-4286	296	46	,	,	PUNCT
aiti-4286	296	47	ieee	ieee	NOUN
aiti-4286	296	48	press	press	NOUN
aiti-4286	296	49	,	,	PUNCT
aiti-4286	296	50	november	november	PROPN
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aiti-4286	296	52	,	,	PUNCT
aiti-4286	296	53	pp	pp	ADJ
aiti-4286	296	54	.	.	PUNCT
aiti-4286	297	1	1	1	NUM
aiti-4286	297	2	-	-	SYM
aiti-4286	297	3	5	5	NUM
aiti-4286	297	4	.	.	PUNCT
aiti-4286	298	1	[	[	X
aiti-4286	298	2	12	12	NUM
aiti-4286	298	3	]	]	PUNCT
aiti-4286	298	4	p.	p.	PROPN
aiti-4286	298	5	wang	wang	PROPN
aiti-4286	298	6	,	,	PUNCT
aiti-4286	298	7	s.	s.	PROPN
aiti-4286	298	8	c.	c.	PROPN
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aiti-4286	298	10	,	,	PUNCT
aiti-4286	298	11	and	and	CCONJ
aiti-4286	298	12	m.	m.	PROPN
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aiti-4286	298	14	,	,	PUNCT
aiti-4286	298	15	“	"	PUNCT
aiti-4286	298	16	a	a	DET
aiti-4286	298	17	framework	framework	NOUN
aiti-4286	298	18	for	for	ADP
aiti-4286	298	19	qos	qos	NOUN
aiti-4286	298	20	-	-	PUNCT
aiti-4286	298	21	aware	aware	ADJ
aiti-4286	298	22	traffic	traffic	NOUN
aiti-4286	298	23	classification	classification	NOUN
aiti-4286	298	24	using	use	VERB
aiti-4286	298	25	semi	semi	ADJ
aiti-4286	298	26	-	-	ADJ
aiti-4286	298	27	supervised	supervised	ADJ
aiti-4286	298	28	machine	machine	NOUN
aiti-4286	298	29	learning	learning	NOUN
aiti-4286	298	30	in	in	ADP
aiti-4286	298	31	sdns	sdns	NOUN
aiti-4286	298	32	,	,	PUNCT
aiti-4286	298	33	”	"	PUNCT
aiti-4286	298	34	proc	proc	NOUN
aiti-4286	298	35	.	.	PUNCT
aiti-4286	299	1	ieee	ieee	PROPN
aiti-4286	299	2	international	international	PROPN
aiti-4286	299	3	conference	conference	NOUN
aiti-4286	299	4	on	on	ADP
aiti-4286	299	5	services	service	NOUN
aiti-4286	299	6	computing	computing	NOUN
aiti-4286	299	7	,	,	PUNCT
aiti-4286	299	8	ieee	ieee	NOUN
aiti-4286	299	9	press	press	PROPN
aiti-4286	299	10	,	,	PUNCT
aiti-4286	299	11	june	june	PROPN
aiti-4286	299	12	2016	2016	NUM
aiti-4286	299	13	,	,	PUNCT
aiti-4286	299	14	pp	pp	ADJ
aiti-4286	299	15	.	.	PUNCT
aiti-4286	300	1	760	760	NUM
aiti-4286	300	2	-	-	SYM
aiti-4286	300	3	765	765	NUM
aiti-4286	300	4	.	.	PUNCT
aiti-4286	301	1	[	[	X
aiti-4286	301	2	13	13	NUM
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aiti-4286	301	4	r.	r.	PROPN
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aiti-4286	301	6	,	,	PUNCT
aiti-4286	301	7	b.	b.	PROPN
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aiti-4286	301	9	,	,	PUNCT
aiti-4286	301	10	n.	n.	PROPN
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aiti-4286	301	12	,	,	PUNCT
aiti-4286	301	13	and	and	CCONJ
aiti-4286	301	14	a.	a.	NOUN
aiti-4286	301	15	m.	m.	NOUN
aiti-4286	301	16	abu	abu	PROPN
aiti-4286	301	17	-	-	PUNCT
aiti-4286	301	18	mahfouz	mahfouz	PROPN
aiti-4286	301	19	,	,	PUNCT
aiti-4286	301	20	“	"	PUNCT
aiti-4286	301	21	machine	machine	NOUN
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aiti-4286	301	23	techniques	technique	NOUN
aiti-4286	301	24	for	for	ADP
aiti-4286	301	25	traffic	traffic	NOUN
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aiti-4286	301	28	classification	classification	NOUN
aiti-4286	301	29	in	in	ADP
aiti-4286	301	30	sdwsn	sdwsn	NOUN
aiti-4286	301	31	:	:	PUNCT
aiti-4286	301	32	a	a	DET
aiti-4286	301	33	survey	survey	NOUN
aiti-4286	301	34	,	,	PUNCT
aiti-4286	301	35	”	"	PUNCT
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aiti-4286	301	37	annual	annual	ADJ
aiti-4286	301	38	conference	conference	NOUN
aiti-4286	301	39	of	of	ADP
aiti-4286	301	40	the	the	DET
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aiti-4286	301	42	industrial	industrial	PROPN
aiti-4286	301	43	electronics	electronics	PROPN
aiti-4286	301	44	society	society	NOUN
aiti-4286	301	45	in	in	ADP
aiti-4286	301	46	iecon	iecon	NOUN
aiti-4286	301	47	,	,	PUNCT
aiti-4286	301	48	ieee	ieee	NOUN
aiti-4286	301	49	press	press	NOUN
aiti-4286	301	50	,	,	PUNCT
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aiti-4286	301	53	,	,	PUNCT
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aiti-4286	302	2	-	-	SYM
aiti-4286	302	3	4650	4650	NUM
aiti-4286	302	4	.	.	PUNCT
aiti-4286	303	1	[	[	X
aiti-4286	303	2	14	14	NUM
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aiti-4286	303	4	h.	h.	PROPN
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aiti-4286	303	8	j.	j.	PROPN
aiti-4286	303	9	b.	b.	PROPN
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aiti-4286	303	12	j.	j.	PROPN
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aiti-4286	303	16	k.	k.	PROPN
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aiti-4286	303	24	y.	y.	PROPN
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aiti-4286	303	33	traffic	traffic	NOUN
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aiti-4286	303	35	using	use	VERB
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aiti-4286	303	38	,	,	PUNCT
aiti-4286	303	39	”	"	PUNCT
aiti-4286	303	40	international	international	ADJ
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aiti-4286	303	42	on	on	ADP
aiti-4286	303	43	artificial	artificial	ADJ
aiti-4286	303	44	intelligence	intelligence	NOUN
aiti-4286	303	45	in	in	ADP
aiti-4286	303	46	information	information	NOUN
aiti-4286	303	47	and	and	CCONJ
aiti-4286	303	48	communication	communication	NOUN
aiti-4286	303	49	,	,	PUNCT
aiti-4286	303	50	ieee	ieee	NOUN
aiti-4286	303	51	press	press	NOUN
aiti-4286	303	52	,	,	PUNCT
aiti-4286	303	53	february	february	PROPN
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aiti-4286	303	55	,	,	PUNCT
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aiti-4286	303	58	046	046	NUM
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aiti-4286	304	1	[	[	X
aiti-4286	304	2	15	15	NUM
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aiti-4286	304	4	p.	p.	PROPN
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aiti-4286	304	6	,	,	PUNCT
aiti-4286	304	7	f.	f.	PROPN
aiti-4286	304	8	ye	ye	PROPN
aiti-4286	304	9	,	,	PUNCT
aiti-4286	304	10	x.	x.	PROPN
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aiti-4286	304	12	,	,	PUNCT
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aiti-4286	304	14	y.	y.	PROPN
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aiti-4286	304	21	learning	learning	NOUN
aiti-4286	304	22	based	base	VERB
aiti-4286	304	23	encrypted	encrypt	VERB
aiti-4286	304	24	network	network	NOUN
aiti-4286	304	25	traffic	traffic	NOUN
aiti-4286	304	26	classification	classification	NOUN
aiti-4286	304	27	in	in	ADP
aiti-4286	304	28	sdn	sdn	PROPN
aiti-4286	304	29	home	home	NOUN
aiti-4286	304	30	gateway	gateway	NOUN
aiti-4286	304	31	,	,	PUNCT
aiti-4286	304	32	”	"	PUNCT
aiti-4286	304	33	vol	vol	NOUN
aiti-4286	304	34	.	.	PROPN
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aiti-4286	304	36	,	,	PUNCT
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aiti-4286	304	39	,	,	PUNCT
aiti-4286	304	40	pp	pp	ADP
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aiti-4286	305	1	55380	55380	NUM
aiti-4286	305	2	-	-	SYM
aiti-4286	305	3	55391	55391	NUM
aiti-4286	305	4	,	,	PUNCT
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aiti-4286	305	7	.	.	PUNCT
aiti-4286	306	1	[	[	X
aiti-4286	306	2	16	16	NUM
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aiti-4286	306	4	r.	r.	PROPN
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aiti-4286	306	7	h.	h.	PROPN
aiti-4286	306	8	guyennet	guyennet	PROPN
aiti-4286	306	9	,	,	PUNCT
aiti-4286	306	10	and	and	CCONJ
aiti-4286	306	11	t.	t.	NOUN
aiti-4286	306	12	moulahi	moulahi	NOUN
aiti-4286	306	13	,	,	PUNCT
aiti-4286	306	14	“	"	PUNCT
aiti-4286	306	15	a	a	DET
aiti-4286	306	16	survey	survey	NOUN
aiti-4286	306	17	on	on	ADP
aiti-4286	306	18	heuristic	heuristic	NOUN
aiti-4286	306	19	-	-	PUNCT
aiti-4286	306	20	based	base	VERB
aiti-4286	306	21	routing	routing	NOUN
aiti-4286	306	22	methods	method	NOUN
aiti-4286	306	23	in	in	ADP
aiti-4286	306	24	vehicular	vehicular	ADJ
aiti-4286	306	25	ad	ad	NOUN
aiti-4286	306	26	-	-	PUNCT
aiti-4286	306	27	hoc	hoc	X
aiti-4286	306	28	network	network	NOUN
aiti-4286	306	29	:	:	PUNCT
aiti-4286	306	30	technical	technical	ADJ
aiti-4286	306	31	challenges	challenge	NOUN
aiti-4286	306	32	and	and	CCONJ
aiti-4286	306	33	future	future	ADJ
aiti-4286	306	34	trends	trend	NOUN
aiti-4286	306	35	,	,	PUNCT
aiti-4286	306	36	”	"	PUNCT
aiti-4286	306	37	ieee	ieee	NOUN
aiti-4286	306	38	sensors	sensor	NOUN
aiti-4286	306	39	journal	journal	PROPN
aiti-4286	306	40	,	,	PUNCT
aiti-4286	306	41	vol	vol	NOUN
aiti-4286	306	42	.	.	PROPN
aiti-4286	306	43	16	16	NUM
aiti-4286	306	44	,	,	PUNCT
aiti-4286	306	45	no	no	INTJ
aiti-4286	306	46	.	.	NOUN
aiti-4286	306	47	17	17	NUM
aiti-4286	306	48	,	,	PUNCT
aiti-4286	306	49	pp	pp	ADJ
aiti-4286	306	50	.	.	PUNCT
aiti-4286	306	51	6782	6782	NUM
aiti-4286	306	52	-	-	SYM
aiti-4286	306	53	6792	6792	NUM
aiti-4286	306	54	,	,	PUNCT
aiti-4286	306	55	september	september	PROPN
aiti-4286	306	56	2016	2016	NUM
aiti-4286	306	57	.	.	PUNCT
aiti-4286	307	1	[	[	X
aiti-4286	307	2	17	17	NUM
aiti-4286	307	3	]	]	PUNCT
aiti-4286	307	4	a.	a.	NOUN
aiti-4286	307	5	azzouni	azzouni	PROPN
aiti-4286	307	6	,	,	PUNCT
aiti-4286	307	7	r.	r.	PROPN
aiti-4286	307	8	boutaba	boutaba	PROPN
aiti-4286	307	9	,	,	PUNCT
aiti-4286	307	10	and	and	CCONJ
aiti-4286	307	11	g.	g.	PROPN
aiti-4286	307	12	pujolle	pujolle	NOUN
aiti-4286	307	13	,	,	PUNCT
aiti-4286	307	14	“	"	PUNCT
aiti-4286	307	15	neuroute	neuroute	NOUN
aiti-4286	307	16	:	:	PUNCT
aiti-4286	307	17	predictive	predictive	ADJ
aiti-4286	307	18	dynamic	dynamic	ADJ
aiti-4286	307	19	routing	routing	NOUN
aiti-4286	307	20	for	for	ADP
aiti-4286	307	21	software	software	NOUN
aiti-4286	307	22	-	-	PUNCT
aiti-4286	307	23	defined	define	VERB
aiti-4286	307	24	networks	network	NOUN
aiti-4286	307	25	,	,	PUNCT
aiti-4286	307	26	”	"	PUNCT
aiti-4286	307	27	13th	13th	NOUN
aiti-4286	307	28	international	international	ADJ
aiti-4286	307	29	conference	conference	NOUN
aiti-4286	307	30	on	on	ADP
aiti-4286	307	31	network	network	NOUN
aiti-4286	307	32	and	and	CCONJ
aiti-4286	307	33	service	service	NOUN
aiti-4286	307	34	management	management	NOUN
aiti-4286	307	35	,	,	PUNCT
aiti-4286	307	36	ieee	ieee	NOUN
aiti-4286	307	37	press	press	NOUN
aiti-4286	307	38	,	,	PUNCT
aiti-4286	307	39	january	january	PROPN
aiti-4286	307	40	2017	2017	NUM
aiti-4286	307	41	,	,	PUNCT
aiti-4286	307	42	pp	pp	ADJ
aiti-4286	307	43	.	.	PUNCT
aiti-4286	307	44	1	1	NUM
aiti-4286	307	45	-	-	SYM
aiti-4286	307	46	6	6	NUM
aiti-4286	307	47	.	.	PUNCT
aiti-4286	307	48	advances	advance	NOUN
aiti-4286	307	49	in	in	ADP
aiti-4286	307	50	technology	technology	NOUN
aiti-4286	307	51	innovation	innovation	NOUN
aiti-4286	307	52	,	,	PUNCT
aiti-4286	307	53	vol	vol	NOUN
aiti-4286	307	54	.	.	PROPN
aiti-4286	307	55	5	5	NUM
aiti-4286	307	56	,	,	PUNCT
aiti-4286	307	57	no	no	INTJ
aiti-4286	307	58	.	.	NOUN
aiti-4286	307	59	4	4	NUM
aiti-4286	307	60	,	,	PUNCT
aiti-4286	307	61	2020	2020	NUM
aiti-4286	307	62	,	,	PUNCT
aiti-4286	307	63	pp	pp	ADV
aiti-4286	307	64	.	.	PUNCT
aiti-4286	308	1	216	216	NUM
aiti-4286	308	2	-	-	SYM
aiti-4286	308	3	229	229	NUM
aiti-4286	308	4	229	229	NUM
aiti-4286	308	5	[	[	X
aiti-4286	308	6	18	18	NUM
aiti-4286	308	7	]	]	PUNCT
aiti-4286	308	8	j.	j.	PROPN
aiti-4286	308	9	carner	carner	PROPN
aiti-4286	308	10	,	,	PUNCT
aiti-4286	308	11	a.	a.	PROPN
aiti-4286	308	12	mestres	mestres	PROPN
aiti-4286	308	13	,	,	PUNCT
aiti-4286	308	14	e.	e.	PROPN
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aiti-4286	308	16	,	,	PUNCT
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aiti-4286	308	18	a.	a.	NOUN
aiti-4286	308	19	cabellos	cabellos	NOUN
aiti-4286	308	20	,	,	PUNCT
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aiti-4286	308	22	machine	machine	NOUN
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aiti-4286	308	24	based	base	VERB
aiti-4286	308	25	network	network	NOUN
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aiti-4286	308	27	:	:	PUNCT
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aiti-4286	308	29	artificial	artificial	ADJ
aiti-4286	308	30	neural	neural	ADJ
aiti-4286	308	31	network	network	NOUN
aiti-4286	308	32	model	model	NOUN
aiti-4286	308	33	vs	vs	ADP
aiti-4286	308	34	a	a	DET
aiti-4286	308	35	theoretical	theoretical	ADJ
aiti-4286	308	36	inspired	inspire	VERB
aiti-4286	308	37	model	model	NOUN
aiti-4286	308	38	,	,	PUNCT
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aiti-4286	308	40	ninth	ninth	ADJ
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aiti-4286	308	42	conference	conference	NOUN
aiti-4286	308	43	on	on	ADP
aiti-4286	308	44	ubiquitous	ubiquitous	ADJ
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aiti-4286	308	46	future	future	ADJ
aiti-4286	308	47	networks	network	NOUN
aiti-4286	308	48	,	,	PUNCT
aiti-4286	308	49	ieee	ieee	NOUN
aiti-4286	308	50	press	press	NOUN
aiti-4286	308	51	,	,	PUNCT
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aiti-4286	308	54	,	,	PUNCT
aiti-4286	308	55	pp	pp	ADJ
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aiti-4286	309	1	522	522	NUM
aiti-4286	309	2	-	-	SYM
aiti-4286	309	3	524	524	NUM
aiti-4286	309	4	.	.	PUNCT
aiti-4286	310	1	[	[	X
aiti-4286	310	2	19	19	NUM
aiti-4286	310	3	]	]	PUNCT
aiti-4286	310	4	t.	t.	PROPN
aiti-4286	310	5	h.	h.	PROPN
aiti-4286	310	6	lee	lee	PROPN
aiti-4286	310	7	,	,	PUNCT
aiti-4286	310	8	l.	l.	PROPN
aiti-4286	310	9	h.	h.	PROPN
aiti-4286	310	10	chang	chang	PROPN
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aiti-4286	310	12	and	and	CCONJ
aiti-4286	310	13	w.	w.	PROPN
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aiti-4286	310	16	,	,	PUNCT
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aiti-4286	310	23	-	-	PUNCT
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aiti-4286	310	30	heterogeneous	heterogeneous	ADJ
aiti-4286	310	31	wsn	wsn	NOUN
aiti-4286	310	32	and	and	CCONJ
aiti-4286	310	33	internet	internet	NOUN
aiti-4286	310	34	,	,	PUNCT
aiti-4286	310	35	”	"	PUNCT
aiti-4286	310	36	ksii	ksii	ADJ
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aiti-4286	310	40	&	&	CCONJ
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aiti-4286	310	42	systems	system	NOUN
aiti-4286	310	43	,	,	PUNCT
aiti-4286	310	44	vol	vol	NOUN
aiti-4286	310	45	.	.	PROPN
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aiti-4286	310	49	.	.	NOUN
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aiti-4286	310	51	,	,	PUNCT
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aiti-4286	311	2	-	-	SYM
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aiti-4286	312	2	20	20	NUM
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aiti-4286	312	4	n.	n.	NOUN
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aiti-4286	312	14	r.	r.	PROPN
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aiti-4286	312	22	network	network	NOUN
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aiti-4286	312	30	,	,	PUNCT
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aiti-4286	312	35	-	-	PUNCT
aiti-4286	312	36	peer	peer	NOUN
aiti-4286	312	37	networking	networking	NOUN
aiti-4286	312	38	and	and	CCONJ
aiti-4286	312	39	applications	application	NOUN
aiti-4286	312	40	,	,	PUNCT
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aiti-4286	312	48	,	,	PUNCT
aiti-4286	312	49	pp	pp	ADJ
aiti-4286	312	50	.	.	PUNCT
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aiti-4286	314	45	networks	network	NOUN
aiti-4286	314	46	,	,	PUNCT
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aiti-4286	314	52	,	,	PUNCT
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aiti-4286	316	2	22	22	NUM
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aiti-4286	316	11	and	and	CCONJ
aiti-4286	316	12	a.	a.	PROPN
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aiti-4286	316	27	networking	networking	NOUN
aiti-4286	316	28	,	,	PUNCT
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aiti-4286	316	33	conference	conference	NOUN
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aiti-4286	316	35	machine	machine	NOUN
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aiti-4286	316	38	applications	application	NOUN
aiti-4286	316	39	,	,	PUNCT
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aiti-4286	316	41	press	press	NOUN
aiti-4286	316	42	,	,	PUNCT
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aiti-4286	316	45	,	,	PUNCT
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aiti-4286	317	2	-	-	SYM
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aiti-4286	318	4	“	"	PUNCT
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aiti-4286	319	4	“	"	PUNCT
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aiti-4286	319	6	-	-	PUNCT
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aiti-4286	319	8	,	,	PUNCT
aiti-4286	319	9	”	"	PUNCT
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aiti-4286	320	5	l.	l.	PROPN
aiti-4286	320	6	zhang	zhang	PROPN
aiti-4286	320	7	and	and	CCONJ
aiti-4286	320	8	z.	z.	PROPN
aiti-4286	320	9	h.	h.	PROPN
aiti-4286	320	10	zhou	zhou	PROPN
aiti-4286	320	11	,	,	PUNCT
aiti-4286	320	12	“	"	PUNCT
aiti-4286	320	13	a	a	DET
aiti-4286	320	14	review	review	NOUN
aiti-4286	320	15	on	on	ADP
aiti-4286	320	16	multi	multi	ADJ
aiti-4286	320	17	-	-	ADJ
aiti-4286	320	18	label	label	ADJ
aiti-4286	320	19	learning	learning	NOUN
aiti-4286	320	20	algorithms	algorithm	NOUN
aiti-4286	320	21	,	,	PUNCT
aiti-4286	320	22	”	"	PUNCT
aiti-4286	320	23	ieee	ieee	NOUN
aiti-4286	320	24	transactions	transaction	NOUN
aiti-4286	320	25	on	on	ADP
aiti-4286	320	26	knowledge	knowledge	NOUN
aiti-4286	320	27	and	and	CCONJ
aiti-4286	320	28	data	datum	NOUN
aiti-4286	320	29	engineering	engineering	NOUN
aiti-4286	320	30	,	,	PUNCT
aiti-4286	320	31	vol	vol	NOUN
aiti-4286	320	32	.	.	PROPN
aiti-4286	320	33	26	26	NUM
aiti-4286	320	34	,	,	PUNCT
aiti-4286	320	35	no	no	INTJ
aiti-4286	320	36	.	.	NOUN
aiti-4286	320	37	8	8	NUM
aiti-4286	320	38	,	,	PUNCT
aiti-4286	320	39	pp	pp	ADJ
aiti-4286	320	40	.	.	PUNCT
aiti-4286	321	1	1819	1819	NUM
aiti-4286	321	2	-	-	SYM
aiti-4286	321	3	1837	1837	NUM
aiti-4286	321	4	,	,	PUNCT
aiti-4286	321	5	august	august	PROPN
aiti-4286	321	6	2014	2014	NUM
aiti-4286	321	7	.	.	PUNCT
aiti-4286	322	1	copyright	copyright	NOUN
aiti-4286	322	2	©	©	PROPN
aiti-4286	322	3	by	by	ADP
aiti-4286	322	4	the	the	DET
aiti-4286	322	5	authors	author	NOUN
aiti-4286	322	6	.	.	PUNCT
aiti-4286	323	1	licensee	licensee	PROPN
aiti-4286	323	2	taeti	taeti	PROPN
aiti-4286	323	3	,	,	PUNCT
aiti-4286	323	4	taiwan	taiwan	PROPN
aiti-4286	323	5	.	.	PUNCT
aiti-4286	324	1	this	this	DET
aiti-4286	324	2	article	article	NOUN
aiti-4286	324	3	is	be	AUX
aiti-4286	324	4	an	an	DET
aiti-4286	324	5	open	open	ADJ
aiti-4286	324	6	access	access	NOUN
aiti-4286	324	7	article	article	NOUN
aiti-4286	324	8	distributed	distribute	VERB
aiti-4286	324	9	under	under	ADP
aiti-4286	324	10	the	the	DET
aiti-4286	324	11	terms	term	NOUN
aiti-4286	324	12	and	and	CCONJ
aiti-4286	324	13	conditions	condition	NOUN
aiti-4286	324	14	of	of	ADP
aiti-4286	324	15	the	the	DET
aiti-4286	324	16	creative	creative	ADJ
aiti-4286	324	17	commons	common	NOUN
aiti-4286	324	18	attribution	attribution	NOUN
aiti-4286	324	19	(	(	PUNCT
aiti-4286	324	20	cc	cc	NOUN
aiti-4286	324	21	by	by	ADP
aiti-4286	324	22	-	-	PUNCT
aiti-4286	324	23	nc	nc	NOUN
aiti-4286	324	24	)	)	PUNCT
aiti-4286	324	25	license	license	NOUN
aiti-4286	324	26	(	(	PUNCT
aiti-4286	324	27	https://creativecommons.org/licenses/by-nc/4.0/	https://creativecommons.org/licenses/by-nc/4.0/	NOUN
aiti-4286	324	28	)	)	PUNCT
aiti-4286	324	29	.	.	PUNCT