id	sid	tid	token	lemma	pos
cana-4842	1	1	communications	communication	NOUN
cana-4842	1	2	on	on	ADP
cana-4842	1	3	applied	apply	VERB
cana-4842	1	4	nonlinear	nonlinear	ADJ
cana-4842	1	5	analysis	analysis	NOUN
cana-4842	1	6	issn	issn	NOUN
cana-4842	1	7	:	:	PUNCT
cana-4842	1	8	1074	1074	NUM
cana-4842	1	9	-	-	PUNCT
cana-4842	1	10	133x	133x	NUM
cana-4842	1	11	vol	vol	VERB
cana-4842	1	12	32	32	NUM
cana-4842	1	13	no	no	NOUN
cana-4842	1	14	.	.	PUNCT
cana-4842	2	1	10s	10	NOUN
cana-4842	2	2	(	(	PUNCT
cana-4842	2	3	2025	2025	NUM
cana-4842	2	4	)	)	PUNCT
cana-4842	2	5	469	469	NUM
cana-4842	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	2	7	rate	rate	NOUN
cana-4842	2	8	-	-	PUNCT
cana-4842	2	9	rad	rad	NOUN
cana-4842	2	10	:	:	PUNCT
cana-4842	2	11	a	a	DET
cana-4842	2	12	novel	novel	ADJ
cana-4842	2	13	framework	framework	NOUN
cana-4842	2	14	for	for	ADP
cana-4842	2	15	robust	robust	ADJ
cana-4842	2	16	anomaly	anomaly	NOUN
cana-4842	2	17	detection	detection	NOUN
cana-4842	2	18	in	in	ADP
cana-4842	2	19	network	network	NOUN
cana-4842	2	20	traffic	traffic	NOUN
cana-4842	2	21	by	by	ADP
cana-4842	2	22	integrating	integrate	VERB
cana-4842	2	23	relational	relational	ADJ
cana-4842	2	24	,	,	PUNCT
cana-4842	2	25	adversarial	adversarial	ADJ
cana-4842	2	26	,	,	PUNCT
cana-4842	2	27	and	and	CCONJ
cana-4842	2	28	temporal	temporal	ADJ
cana-4842	2	29	embedding	embed	VERB
cana-4842	2	30	p	p	X
cana-4842	2	31	vamsi	vamsi	PROPN
cana-4842	2	32	naidu1	naidu1	PROPN
cana-4842	2	33	,	,	PUNCT
cana-4842	2	34	dr	dr	PROPN
cana-4842	2	35	.	.	PROPN
cana-4842	2	36	bobba	bobba	PROPN
cana-4842	2	37	basaveswararao2	basaveswararao2	PROPN
cana-4842	2	38	,	,	PUNCT
cana-4842	2	39	dr	dr	PROPN
cana-4842	2	40	.	.	PROPN
cana-4842	2	41	guntupalli	guntupalli	PROPN
cana-4842	2	42	neelima3	neelima3	PROPN
cana-4842	2	43	,	,	PUNCT
cana-4842	2	44	simhadri	simhadri	PROPN
cana-4842	2	45	mallikarjuna	mallikarjuna	PROPN
cana-4842	2	46	rao4	rao4	PROPN
cana-4842	2	47	1,2,3	1,2,3	NUM
cana-4842	2	48	department	department	NOUN
cana-4842	2	49	of	of	ADP
cana-4842	2	50	computer	computer	NOUN
cana-4842	2	51	science	science	PROPN
cana-4842	2	52	&	&	CCONJ
cana-4842	2	53	engineering	engineering	PROPN
cana-4842	2	54	,	,	PUNCT
cana-4842	2	55	acharya	acharya	PROPN
cana-4842	2	56	nagarjuna	nagarjuna	PROPN
cana-4842	2	57	university	university	PROPN
cana-4842	2	58	,	,	PUNCT
cana-4842	2	59	guntur	guntur	PROPN
cana-4842	2	60	,	,	PUNCT
cana-4842	2	61	522510	522510	NUM
cana-4842	2	62	,	,	PUNCT
cana-4842	2	63	india	india	PROPN
cana-4842	2	64	.	.	PROPN
cana-4842	2	65	4	4	NUM
cana-4842	2	66	assistant	assistant	NOUN
cana-4842	2	67	professor	professor	NOUN
cana-4842	2	68	,	,	PUNCT
cana-4842	2	69	vasireddy	vasireddy	NOUN
cana-4842	2	70	venkatadri	venkatadri	NOUN
cana-4842	2	71	international	international	ADJ
cana-4842	2	72	technological	technological	ADJ
cana-4842	2	73	university	university	NOUN
cana-4842	2	74	,	,	PUNCT
cana-4842	2	75	nambur	nambur	PROPN
cana-4842	2	76	,	,	PUNCT
cana-4842	2	77	india	india	PROPN
cana-4842	2	78	*	*	PUNCT
cana-4842	2	79	corresponding	correspond	VERB
cana-4842	2	80	author	author	NOUN
cana-4842	2	81	’s	’s	PART
cana-4842	2	82	email	email	NOUN
cana-4842	2	83	:	:	PUNCT
cana-4842	2	84	simhadri.mallikarjun9@gmail.com	simhadri.mallikarjun9@gmail.com	X
cana-4842	2	85	article	article	NOUN
cana-4842	2	86	history	history	NOUN
cana-4842	2	87	:	:	PUNCT
cana-4842	2	88	received	receive	VERB
cana-4842	2	89	:	:	PUNCT
cana-4842	2	90	12	12	NUM
cana-4842	2	91	-	-	SYM
cana-4842	2	92	01	01	NUM
cana-4842	2	93	-	-	PUNCT
cana-4842	2	94	2025	2025	NUM
cana-4842	2	95	revised	revise	VERB
cana-4842	2	96	:	:	PUNCT
cana-4842	2	97	15	15	NUM
cana-4842	2	98	-	-	NUM
cana-4842	2	99	02	02	NUM
cana-4842	2	100	-	-	PUNCT
cana-4842	2	101	2025	2025	NUM
cana-4842	2	102	accepted	accept	VERB
cana-4842	2	103	:	:	PUNCT
cana-4842	2	104	01	01	NUM
cana-4842	2	105	-	-	SYM
cana-4842	2	106	03	03	NUM
cana-4842	2	107	-	-	PUNCT
cana-4842	2	108	2025	2025	NUM
cana-4842	2	109	abstract	abstract	NOUN
cana-4842	2	110	:	:	PUNCT
cana-4842	2	111	with	with	ADP
cana-4842	2	112	increased	increase	VERB
cana-4842	2	113	complexity	complexity	NOUN
cana-4842	2	114	and	and	CCONJ
cana-4842	2	115	volume	volume	NOUN
cana-4842	2	116	in	in	ADP
cana-4842	2	117	interactions	interaction	NOUN
cana-4842	2	118	within	within	ADP
cana-4842	2	119	the	the	DET
cana-4842	2	120	network	network	NOUN
cana-4842	2	121	,	,	PUNCT
cana-4842	2	122	there	there	PRON
cana-4842	2	123	is	be	VERB
cana-4842	2	124	a	a	DET
cana-4842	2	125	strong	strong	ADJ
cana-4842	2	126	need	need	NOUN
cana-4842	2	127	for	for	ADP
cana-4842	2	128	anomaly	anomaly	NOUN
cana-4842	2	129	detection	detection	NOUN
cana-4842	2	130	in	in	ADP
cana-4842	2	131	network	network	NOUN
cana-4842	2	132	traffic	traffic	NOUN
cana-4842	2	133	,	,	PUNCT
cana-4842	2	134	ensuring	ensure	VERB
cana-4842	2	135	that	that	SCONJ
cana-4842	2	136	the	the	DET
cana-4842	2	137	traditional	traditional	ADJ
cana-4842	2	138	ml	ml	NOUN
cana-4842	2	139	/	/	SYM
cana-4842	2	140	dl	dl	PROPN
cana-4842	2	141	approaches	approach	NOUN
cana-4842	2	142	of	of	ADP
cana-4842	2	143	network	network	NOUN
cana-4842	2	144	traffic	traffic	NOUN
cana-4842	2	145	monitoring	monitoring	NOUN
cana-4842	2	146	can	can	AUX
cana-4842	2	147	not	not	PART
cana-4842	2	148	be	be	AUX
cana-4842	2	149	easily	easily	ADV
cana-4842	2	150	detected	detect	VERB
cana-4842	2	151	.	.	PUNCT
cana-4842	3	1	the	the	DET
cana-4842	3	2	current	current	ADJ
cana-4842	3	3	approaches	approach	NOUN
cana-4842	3	4	can	can	AUX
cana-4842	3	5	not	not	PART
cana-4842	3	6	capture	capture	VERB
cana-4842	3	7	relational	relational	ADJ
cana-4842	3	8	,	,	PUNCT
cana-4842	3	9	adversarial	adversarial	ADJ
cana-4842	3	10	,	,	PUNCT
cana-4842	3	11	and	and	CCONJ
cana-4842	3	12	temporal	temporal	ADJ
cana-4842	3	13	patterns	pattern	NOUN
cana-4842	3	14	,	,	PUNCT
cana-4842	3	15	leading	lead	VERB
cana-4842	3	16	to	to	ADP
cana-4842	3	17	limited	limited	ADJ
cana-4842	3	18	precision	precision	NOUN
cana-4842	3	19	and	and	CCONJ
cana-4842	3	20	real	real	ADJ
cana-4842	3	21	-	-	PUNCT
cana-4842	3	22	time	time	NOUN
cana-4842	3	23	scalability	scalability	NOUN
cana-4842	3	24	in	in	ADP
cana-4842	3	25	anomaly	anomaly	NOUN
cana-4842	3	26	detection	detection	NOUN
cana-4842	3	27	.	.	PUNCT
cana-4842	4	1	to	to	PART
cana-4842	4	2	overcome	overcome	VERB
cana-4842	4	3	these	these	DET
cana-4842	4	4	problems	problem	NOUN
cana-4842	4	5	this	this	DET
cana-4842	4	6	study	study	NOUN
cana-4842	4	7	proposes	propose	VERB
cana-4842	4	8	a	a	DET
cana-4842	4	9	holistic	holistic	ADJ
cana-4842	4	10	,	,	PUNCT
cana-4842	4	11	multi	multi	ADJ
cana-4842	4	12	-	-	ADJ
cana-4842	4	13	method	method	ADJ
cana-4842	4	14	approach	approach	NOUN
cana-4842	4	15	by	by	ADP
cana-4842	4	16	harnessing	harness	VERB
cana-4842	4	17	advanced	advanced	ADJ
cana-4842	4	18	methods	method	NOUN
cana-4842	4	19	in	in	ADP
cana-4842	4	20	the	the	DET
cana-4842	4	21	detection	detection	NOUN
cana-4842	4	22	model	model	NOUN
cana-4842	4	23	,	,	PUNCT
cana-4842	4	24	which	which	PRON
cana-4842	4	25	will	will	AUX
cana-4842	4	26	incorporate	incorporate	VERB
cana-4842	4	27	relational	relational	ADJ
cana-4842	4	28	,	,	PUNCT
cana-4842	4	29	adversarial	adversarial	ADJ
cana-4842	4	30	,	,	PUNCT
cana-4842	4	31	temporal	temporal	ADJ
cana-4842	4	32	insights	insight	NOUN
cana-4842	4	33	for	for	ADP
cana-4842	4	34	robust	robust	ADJ
cana-4842	4	35	anomaly	anomaly	NOUN
cana-4842	4	36	detection	detection	NOUN
cana-4842	4	37	(	(	PUNCT
cana-4842	4	38	rate	rate	NOUN
cana-4842	4	39	-	-	PUNCT
cana-4842	4	40	rad	rad	NOUN
cana-4842	4	41	)	)	PUNCT
cana-4842	4	42	.	.	PUNCT
cana-4842	5	1	starting	start	VERB
cana-4842	5	2	with	with	ADP
cana-4842	5	3	graphsage	graphsage	NOUN
cana-4842	5	4	,	,	PUNCT
cana-4842	5	5	it	it	PRON
cana-4842	5	6	captures	capture	VERB
cana-4842	5	7	the	the	DET
cana-4842	5	8	real	real	ADJ
cana-4842	5	9	-	-	PUNCT
cana-4842	5	10	time	time	NOUN
cana-4842	5	11	detection	detection	NOUN
cana-4842	5	12	based	base	VERB
cana-4842	5	13	on	on	ADP
cana-4842	5	14	evolving	evolve	VERB
cana-4842	5	15	connections	connection	NOUN
cana-4842	5	16	from	from	ADP
cana-4842	5	17	graph	graph	NOUN
cana-4842	5	18	-	-	PUNCT
cana-4842	5	19	based	base	VERB
cana-4842	5	20	representations	representation	NOUN
cana-4842	5	21	of	of	ADP
cana-4842	5	22	the	the	DET
cana-4842	5	23	network	network	NOUN
cana-4842	5	24	's	's	PART
cana-4842	5	25	interactions	interaction	NOUN
cana-4842	5	26	.	.	PUNCT
cana-4842	6	1	simclr	simclr	NOUN
cana-4842	6	2	is	be	AUX
cana-4842	6	3	a	a	DET
cana-4842	6	4	selfsupervised	selfsupervise	VERB
cana-4842	6	5	contrastive	contrastive	ADJ
cana-4842	6	6	learning	learning	NOUN
cana-4842	6	7	framework	framework	NOUN
cana-4842	6	8	that	that	PRON
cana-4842	6	9	produces	produce	VERB
cana-4842	6	10	feature	feature	NOUN
cana-4842	6	11	-	-	PUNCT
cana-4842	6	12	rich	rich	ADJ
cana-4842	6	13	embeddings	embedding	NOUN
cana-4842	6	14	from	from	ADP
cana-4842	6	15	raw	raw	ADJ
cana-4842	6	16	traffic	traffic	NOUN
cana-4842	6	17	data	datum	NOUN
cana-4842	6	18	,	,	PUNCT
cana-4842	6	19	hence	hence	ADV
cana-4842	6	20	contributing	contribute	VERB
cana-4842	6	21	to	to	ADP
cana-4842	6	22	a	a	DET
cana-4842	6	23	minimized	minimized	ADJ
cana-4842	6	24	reliance	reliance	NOUN
cana-4842	6	25	on	on	ADP
cana-4842	6	26	labeled	label	VERB
cana-4842	6	27	data	datum	NOUN
cana-4842	6	28	while	while	SCONJ
cana-4842	6	29	enhancing	enhance	VERB
cana-4842	6	30	the	the	DET
cana-4842	6	31	representation	representation	NOUN
cana-4842	6	32	.	.	PUNCT
cana-4842	7	1	on	on	ADP
cana-4842	7	2	top	top	NOUN
cana-4842	7	3	of	of	ADP
cana-4842	7	4	that	that	PRON
cana-4842	7	5	,	,	PUNCT
cana-4842	7	6	temporal	temporal	ADJ
cana-4842	7	7	convolutional	convolutional	ADJ
cana-4842	7	8	transformers	transformer	NOUN
cana-4842	7	9	are	be	AUX
cana-4842	7	10	applied	apply	VERB
cana-4842	7	11	to	to	ADP
cana-4842	7	12	the	the	DET
cana-4842	7	13	sequential	sequential	ADJ
cana-4842	7	14	traffic	traffic	NOUN
cana-4842	7	15	data	datum	NOUN
cana-4842	7	16	in	in	ADP
cana-4842	7	17	order	order	NOUN
cana-4842	7	18	to	to	PART
cana-4842	7	19	capture	capture	VERB
cana-4842	7	20	long	long	ADJ
cana-4842	7	21	-	-	PUNCT
cana-4842	7	22	term	term	NOUN
cana-4842	7	23	dependencies	dependency	NOUN
cana-4842	7	24	,	,	PUNCT
cana-4842	7	25	making	make	VERB
cana-4842	7	26	recall	recall	NOUN
cana-4842	7	27	of	of	ADP
cana-4842	7	28	anomalies	anomaly	NOUN
cana-4842	7	29	,	,	PUNCT
cana-4842	7	30	especially	especially	ADV
cana-4842	7	31	those	those	PRON
cana-4842	7	32	with	with	ADP
cana-4842	7	33	temporal	temporal	ADJ
cana-4842	7	34	nature	nature	NOUN
cana-4842	7	35	,	,	PUNCT
cana-4842	7	36	easier	easy	ADJ
cana-4842	7	37	.	.	PUNCT
cana-4842	8	1	cyclegan	cyclegan	PROPN
cana-4842	8	2	can	can	AUX
cana-4842	8	3	be	be	AUX
cana-4842	8	4	used	use	VERB
cana-4842	8	5	for	for	ADP
cana-4842	8	6	the	the	DET
cana-4842	8	7	augmentation	augmentation	NOUN
cana-4842	8	8	of	of	ADP
cana-4842	8	9	the	the	DET
cana-4842	8	10	dataset	dataset	NOUN
cana-4842	8	11	,	,	PUNCT
cana-4842	8	12	injecting	inject	VERB
cana-4842	8	13	synthetic	synthetic	ADJ
cana-4842	8	14	anomalies	anomaly	NOUN
cana-4842	8	15	onto	onto	ADP
cana-4842	8	16	them	they	PRON
cana-4842	8	17	,	,	PUNCT
cana-4842	8	18	hence	hence	ADV
cana-4842	8	19	on	on	ADP
cana-4842	8	20	the	the	DET
cana-4842	8	21	models	model	NOUN
cana-4842	8	22	to	to	PART
cana-4842	8	23	make	make	VERB
cana-4842	8	24	them	they	PRON
cana-4842	8	25	more	more	ADV
cana-4842	8	26	robust	robust	ADJ
cana-4842	8	27	to	to	ADP
cana-4842	8	28	the	the	DET
cana-4842	8	29	novel	novel	ADJ
cana-4842	8	30	threats	threat	NOUN
cana-4842	8	31	.	.	PUNCT
cana-4842	9	1	the	the	DET
cana-4842	9	2	final	final	ADJ
cana-4842	9	3	step	step	NOUN
cana-4842	9	4	consists	consist	VERB
cana-4842	9	5	of	of	ADP
cana-4842	9	6	a	a	DET
cana-4842	9	7	hybrid	hybrid	ADJ
cana-4842	9	8	ensemble	ensemble	ADJ
cana-4842	9	9	model	model	NOUN
cana-4842	9	10	between	between	ADP
cana-4842	9	11	xgboost	xgboost	PROPN
cana-4842	9	12	and	and	CCONJ
cana-4842	9	13	lstm	lstm	NOUN
cana-4842	9	14	that	that	PRON
cana-4842	9	15	is	be	AUX
cana-4842	9	16	supported	support	VERB
cana-4842	9	17	with	with	ADP
cana-4842	9	18	highly	highly	ADV
cana-4842	9	19	accurate	accurate	ADJ
cana-4842	9	20	and	and	CCONJ
cana-4842	9	21	deducible	deducible	ADJ
cana-4842	9	22	results.while	results.while	PROPN
cana-4842	9	23	sem	sem	NOUN
cana-4842	9	24	provides	provide	VERB
cana-4842	9	25	the	the	DET
cana-4842	9	26	identification	identification	NOUN
cana-4842	9	27	of	of	ADP
cana-4842	9	28	causal	causal	ADJ
cana-4842	9	29	relationships	relationship	NOUN
cana-4842	9	30	within	within	ADP
cana-4842	9	31	the	the	DET
cana-4842	9	32	identified	identify	VERB
cana-4842	9	33	anomalies	anomaly	NOUN
cana-4842	9	34	.	.	PUNCT
cana-4842	10	1	the	the	DET
cana-4842	10	2	rate	rate	NOUN
cana-4842	10	3	-	-	PUNCT
cana-4842	10	4	rad	rad	NOUN
cana-4842	10	5	model	model	NOUN
cana-4842	10	6	brings	bring	VERB
cana-4842	10	7	about	about	ADP
cana-4842	10	8	significant	significant	ADJ
cana-4842	10	9	improvements	improvement	NOUN
cana-4842	10	10	such	such	ADJ
cana-4842	10	11	as	as	SCONJ
cana-4842	10	12	it	it	PRON
cana-4842	10	13	increases	increase	VERB
cana-4842	10	14	detection	detection	NOUN
cana-4842	10	15	accuracy	accuracy	NOUN
cana-4842	10	16	to	to	ADP
cana-4842	10	17	approximately	approximately	ADV
cana-4842	10	18	96	96	NUM
cana-4842	10	19	%	%	NOUN
cana-4842	10	20	,	,	PUNCT
cana-4842	10	21	reduces	reduce	VERB
cana-4842	10	22	false	false	ADJ
cana-4842	10	23	positives	positive	NOUN
cana-4842	10	24	by	by	ADP
cana-4842	10	25	15	15	NUM
cana-4842	10	26	%	%	NOUN
cana-4842	10	27	,	,	PUNCT
cana-4842	10	28	and	and	CCONJ
cana-4842	10	29	response	response	NOUN
cana-4842	10	30	time	time	NOUN
cana-4842	10	31	becomes	become	VERB
cana-4842	10	32	faster	fast	ADJ
cana-4842	10	33	for	for	ADP
cana-4842	10	34	analysts	analyst	NOUN
cana-4842	10	35	because	because	SCONJ
cana-4842	10	36	of	of	ADP
cana-4842	10	37	increased	increase	VERB
cana-4842	10	38	transparency	transparency	NOUN
cana-4842	10	39	.	.	PUNCT
cana-4842	11	1	this	this	DET
cana-4842	11	2	model	model	NOUN
cana-4842	11	3	does	do	AUX
cana-4842	11	4	not	not	PART
cana-4842	11	5	only	only	ADV
cana-4842	11	6	work	work	VERB
cana-4842	11	7	with	with	ADP
cana-4842	11	8	regards	regard	NOUN
cana-4842	11	9	to	to	ADP
cana-4842	11	10	the	the	DET
cana-4842	11	11	challenges	challenge	NOUN
cana-4842	11	12	of	of	ADP
cana-4842	11	13	scalability	scalability	NOUN
cana-4842	11	14	and	and	CCONJ
cana-4842	11	15	accuracy	accuracy	NOUN
cana-4842	11	16	in	in	ADP
cana-4842	11	17	anomaly	anomaly	NOUN
cana-4842	11	18	detection	detection	NOUN
cana-4842	11	19	but	but	CCONJ
cana-4842	11	20	also	also	ADV
cana-4842	11	21	offers	offer	VERB
cana-4842	11	22	actionable	actionable	ADJ
cana-4842	11	23	insights	insight	NOUN
cana-4842	11	24	,	,	PUNCT
cana-4842	11	25	rendering	render	VERB
cana-4842	11	26	it	it	PRON
cana-4842	11	27	a	a	DET
cana-4842	11	28	promising	promising	ADJ
cana-4842	11	29	solution	solution	NOUN
cana-4842	11	30	for	for	ADP
cana-4842	11	31	the	the	DET
cana-4842	11	32	secure	secure	ADJ
cana-4842	11	33	encryption	encryption	NOUN
cana-4842	11	34	of	of	ADP
cana-4842	11	35	network	network	NOUN
cana-4842	11	36	environments	environment	NOUN
cana-4842	11	37	.	.	PUNCT
cana-4842	12	1	keywords	keyword	NOUN
cana-4842	12	2	:	:	PUNCT
cana-4842	12	3	anomaly	anomaly	NOUN
cana-4842	12	4	detection	detection	NOUN
cana-4842	12	5	,	,	PUNCT
cana-4842	12	6	network	network	NOUN
cana-4842	12	7	traffic	traffic	NOUN
cana-4842	12	8	analysis	analysis	NOUN
cana-4842	12	9	,	,	PUNCT
cana-4842	12	10	graphsage	graphsage	NOUN
cana-4842	12	11	,	,	PUNCT
cana-4842	12	12	temporal	temporal	ADJ
cana-4842	12	13	transformers	transformer	NOUN
cana-4842	12	14	,	,	PUNCT
cana-4842	12	15	adversarial	adversarial	ADJ
cana-4842	12	16	training	training	NOUN
cana-4842	12	17	,	,	PUNCT
cana-4842	12	18	process	process	NOUN
cana-4842	12	19	1	1	NUM
cana-4842	12	20	.	.	PUNCT
cana-4842	12	21	introduction	introduction	NOUN
cana-4842	12	22	an	an	DET
cana-4842	12	23	exponential	exponential	ADJ
cana-4842	12	24	growth	growth	NOUN
cana-4842	12	25	in	in	ADP
cana-4842	12	26	the	the	DET
cana-4842	12	27	encryption	encryption	NOUN
cana-4842	12	28	of	of	ADP
cana-4842	12	29	network	network	NOUN
cana-4842	12	30	traffic	traffic	NOUN
cana-4842	12	31	based	base	VERB
cana-4842	12	32	on	on	ADP
cana-4842	12	33	privacy	privacy	NOUN
cana-4842	12	34	concerns	concern	NOUN
cana-4842	12	35	and	and	CCONJ
cana-4842	12	36	regulatory	regulatory	ADJ
cana-4842	12	37	compliance	compliance	NOUN
cana-4842	12	38	has	have	AUX
cana-4842	12	39	complicated	complicate	VERB
cana-4842	12	40	anomaly	anomaly	NOUN
cana-4842	12	41	detection	detection	NOUN
cana-4842	12	42	within	within	ADP
cana-4842	12	43	network	network	NOUN
cana-4842	12	44	security	security	NOUN
cana-4842	12	45	.	.	PUNCT
cana-4842	13	1	monitoring	monitor	VERB
cana-4842	13	2	systems	system	NOUN
cana-4842	13	3	,	,	PUNCT
cana-4842	13	4	that	that	SCONJ
cana-4842	13	5	communications	communication	NOUN
cana-4842	13	6	on	on	ADP
cana-4842	13	7	applied	apply	VERB
cana-4842	13	8	nonlinear	nonlinear	ADJ
cana-4842	13	9	analysis	analysis	NOUN
cana-4842	13	10	issn	issn	NOUN
cana-4842	13	11	:	:	PUNCT
cana-4842	13	12	1074	1074	NUM
cana-4842	13	13	-	-	PUNCT
cana-4842	13	14	133x	133x	NUM
cana-4842	13	15	vol	vol	VERB
cana-4842	13	16	32	32	NUM
cana-4842	13	17	no	no	NOUN
cana-4842	13	18	.	.	PUNCT
cana-4842	14	1	10s	10	NOUN
cana-4842	14	2	(	(	PUNCT
cana-4842	14	3	2025	2025	NUM
cana-4842	14	4	)	)	PUNCT
cana-4842	14	5	470	470	NUM
cana-4842	14	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	14	7	rely	rely	VERB
cana-4842	14	8	upon	upon	SCONJ
cana-4842	14	9	packet	packet	NOUN
cana-4842	14	10	content	content	NOUN
cana-4842	14	11	inspection	inspection	NOUN
cana-4842	14	12	as	as	ADP
cana-4842	14	13	their	their	PRON
cana-4842	14	14	significant	significant	ADJ
cana-4842	14	15	monitoring	monitoring	NOUN
cana-4842	14	16	event	event	NOUN
cana-4842	14	17	,	,	PUNCT
cana-4842	14	18	are	be	AUX
cana-4842	14	19	now	now	ADV
cana-4842	14	20	unable	unable	ADJ
cana-4842	14	21	to	to	PART
cana-4842	14	22	detect	detect	VERB
cana-4842	14	23	suspicious	suspicious	ADJ
cana-4842	14	24	patterns	pattern	NOUN
cana-4842	14	25	as	as	SCONJ
cana-4842	14	26	their	their	PRON
cana-4842	14	27	nature	nature	NOUN
cana-4842	14	28	has	have	AUX
cana-4842	14	29	been	be	AUX
cana-4842	14	30	encrypted	encrypt	VERB
cana-4842	14	31	,	,	PUNCT
cana-4842	14	32	hence	hence	ADV
cana-4842	14	33	preventing	prevent	VERB
cana-4842	14	34	direct	direct	ADJ
cana-4842	14	35	content	content	NOUN
cana-4842	14	36	analysis	analysis	NOUN
cana-4842	14	37	.	.	PUNCT
cana-4842	15	1	therefore	therefore	ADV
cana-4842	15	2	,	,	PUNCT
cana-4842	15	3	the	the	DET
cana-4842	15	4	current	current	ADJ
cana-4842	15	5	approaches	approach	NOUN
cana-4842	15	6	to	to	ADP
cana-4842	15	7	cybersecurity	cybersecurity	NOUN
cana-4842	15	8	[	[	X
cana-4842	15	9	1	1	NUM
cana-4842	15	10	,	,	PUNCT
cana-4842	15	11	2	2	NUM
cana-4842	15	12	,	,	PUNCT
cana-4842	15	13	3	3	NUM
cana-4842	15	14	]	]	PUNCT
cana-4842	15	15	imply	imply	VERB
cana-4842	15	16	sophisticated	sophisticated	ADJ
cana-4842	15	17	means	mean	NOUN
cana-4842	15	18	to	to	PART
cana-4842	15	19	detect	detect	VERB
cana-4842	15	20	anomalous	anomalous	ADJ
cana-4842	15	21	patterns	pattern	NOUN
cana-4842	15	22	using	use	VERB
cana-4842	15	23	metadata	metadata	NOUN
cana-4842	15	24	only	only	ADV
cana-4842	15	25	,	,	PUNCT
cana-4842	15	26	like	like	ADP
cana-4842	15	27	traffic	traffic	NOUN
cana-4842	15	28	flow	flow	NOUN
cana-4842	15	29	,	,	PUNCT
cana-4842	15	30	ip	ip	DET
cana-4842	15	31	addresses	address	NOUN
cana-4842	15	32	,	,	PUNCT
cana-4842	15	33	timestamps	timestamp	NOUN
cana-4842	15	34	,	,	PUNCT
cana-4842	15	35	and	and	CCONJ
cana-4842	15	36	connection	connection	NOUN
cana-4842	15	37	structures	structure	NOUN
cana-4842	15	38	.	.	PUNCT
cana-4842	16	1	the	the	DET
cana-4842	16	2	new	new	ADJ
cana-4842	16	3	challenges	challenge	NOUN
cana-4842	16	4	of	of	ADP
cana-4842	16	5	behaviour	behaviour	NOUN
cana-4842	16	6	-	-	PUNCT
cana-4842	16	7	based	base	VERB
cana-4842	16	8	anomaly	anomaly	NOUN
cana-4842	16	9	detection	detection	NOUN
cana-4842	16	10	compared	compare	VERB
cana-4842	16	11	with	with	ADP
cana-4842	16	12	content	content	NOUN
cana-4842	16	13	-	-	PUNCT
cana-4842	16	14	based	base	VERB
cana-4842	16	15	anomaly	anomaly	NOUN
cana-4842	16	16	detection	detection	NOUN
cana-4842	16	17	are	be	AUX
cana-4842	16	18	found	find	VERB
cana-4842	16	19	in	in	ADP
cana-4842	16	20	modelling	model	VERB
cana-4842	16	21	complex	complex	ADJ
cana-4842	16	22	interactions	interaction	NOUN
cana-4842	16	23	between	between	ADP
cana-4842	16	24	devices	device	NOUN
cana-4842	16	25	,	,	PUNCT
cana-4842	16	26	evolution	evolution	NOUN
cana-4842	16	27	of	of	ADP
cana-4842	16	28	malicious	malicious	ADJ
cana-4842	16	29	patterns	pattern	NOUN
cana-4842	16	30	,	,	PUNCT
cana-4842	16	31	and	and	CCONJ
cana-4842	16	32	subtle	subtle	ADJ
cana-4842	16	33	anomalies	anomaly	NOUN
cana-4842	16	34	occurring	occur	VERB
cana-4842	16	35	over	over	ADP
cana-4842	16	36	time	time	NOUN
cana-4842	16	37	,	,	PUNCT
cana-4842	16	38	usually	usually	ADV
cana-4842	16	39	in	in	ADP
cana-4842	16	40	real	real	ADJ
cana-4842	16	41	-	-	PUNCT
cana-4842	16	42	time	time	NOUN
cana-4842	16	43	and	and	CCONJ
cana-4842	16	44	scalable	scalable	ADJ
cana-4842	16	45	ways	way	NOUN
cana-4842	16	46	.	.	PUNCT
cana-4842	17	1	current	current	ADJ
cana-4842	17	2	anomaly	anomaly	NOUN
cana-4842	17	3	detection	detection	NOUN
cana-4842	17	4	models	model	NOUN
cana-4842	17	5	in	in	ADP
cana-4842	17	6	network	network	NOUN
cana-4842	17	7	traffic	traffic	NOUN
cana-4842	17	8	analysis	analysis	NOUN
cana-4842	17	9	generally	generally	ADV
cana-4842	17	10	do	do	AUX
cana-4842	17	11	not	not	PART
cana-4842	17	12	possess	possess	VERB
cana-4842	17	13	adequate	adequate	ADJ
cana-4842	17	14	robustness	robustness	NOUN
cana-4842	17	15	and	and	CCONJ
cana-4842	17	16	interpretability	interpretability	NOUN
cana-4842	17	17	for	for	ADP
cana-4842	17	18	the	the	DET
cana-4842	17	19	current	current	ADJ
cana-4842	17	20	encrypted	encrypt	VERB
cana-4842	17	21	environment	environment	NOUN
cana-4842	17	22	.	.	PUNCT
cana-4842	18	1	graph	graph	NOUN
cana-4842	18	2	-	-	PUNCT
cana-4842	18	3	based	base	VERB
cana-4842	18	4	models	model	NOUN
cana-4842	18	5	that	that	PRON
cana-4842	18	6	have	have	AUX
cana-4842	18	7	achieved	achieve	VERB
cana-4842	18	8	great	great	ADJ
cana-4842	18	9	excellence	excellence	NOUN
cana-4842	18	10	in	in	ADP
cana-4842	18	11	relational	relational	ADJ
cana-4842	18	12	learning	learning	NOUN
cana-4842	18	13	missed	miss	VERB
cana-4842	18	14	some	some	DET
cana-4842	18	15	temporal	temporal	ADJ
cana-4842	18	16	dependency	dependency	NOUN
cana-4842	18	17	,	,	PUNCT
cana-4842	18	18	while	while	SCONJ
cana-4842	18	19	deep	deep	ADJ
cana-4842	18	20	learning	learning	NOUN
cana-4842	18	21	models	model	NOUN
cana-4842	18	22	,	,	PUNCT
cana-4842	18	23	effective	effective	ADJ
cana-4842	18	24	in	in	ADP
cana-4842	18	25	identifying	identify	VERB
cana-4842	18	26	temporal	temporal	ADJ
cana-4842	18	27	or	or	CCONJ
cana-4842	18	28	spatial	spatial	ADJ
cana-4842	18	29	patterns	pattern	NOUN
cana-4842	18	30	,	,	PUNCT
cana-4842	18	31	often	often	ADV
cana-4842	18	32	fail	fail	VERB
cana-4842	18	33	to	to	PART
cana-4842	18	34	integrate	integrate	VERB
cana-4842	18	35	crucial	crucial	ADJ
cana-4842	18	36	relational	relational	ADJ
cana-4842	18	37	context	context	NOUN
cana-4842	18	38	.	.	PUNCT
cana-4842	19	1	it	it	PRON
cana-4842	19	2	also	also	ADV
cana-4842	19	3	involves	involve	VERB
cana-4842	19	4	adversarial	adversarial	ADJ
cana-4842	19	5	techniques	technique	NOUN
cana-4842	19	6	that	that	PRON
cana-4842	19	7	consider	consider	VERB
cana-4842	19	8	entirely	entirely	ADV
cana-4842	19	9	new	new	ADJ
cana-4842	19	10	attack	attack	NOUN
cana-4842	19	11	patterns	pattern	NOUN
cana-4842	19	12	very	very	ADV
cana-4842	19	13	rarely	rarely	ADV
cana-4842	19	14	incorporated	incorporate	VERB
cana-4842	19	15	into	into	ADP
cana-4842	19	16	conventional	conventional	ADJ
cana-4842	19	17	detection	detection	NOUN
cana-4842	19	18	frameworks	framework	NOUN
cana-4842	19	19	,	,	PUNCT
cana-4842	19	20	thus	thus	ADV
cana-4842	19	21	limiting	limit	VERB
cana-4842	19	22	resilience	resilience	NOUN
cana-4842	19	23	against	against	ADP
cana-4842	19	24	new	new	ADJ
cana-4842	19	25	sophisticated	sophisticated	ADJ
cana-4842	19	26	threats	threat	NOUN
cana-4842	19	27	.	.	PUNCT
cana-4842	20	1	moreover	moreover	ADV
cana-4842	20	2	,	,	PUNCT
cana-4842	20	3	labelled	label	VERB
cana-4842	20	4	data	datum	NOUN
cana-4842	20	5	are	be	AUX
cana-4842	20	6	scarce	scarce	ADJ
cana-4842	20	7	since	since	SCONJ
cana-4842	20	8	manual	manual	ADJ
cana-4842	20	9	labelling	labelling	NOUN
cana-4842	20	10	of	of	ADP
cana-4842	20	11	network	network	NOUN
cana-4842	20	12	anomalies	anomaly	NOUN
cana-4842	20	13	proves	prove	VERB
cana-4842	20	14	to	to	PART
cana-4842	20	15	be	be	AUX
cana-4842	20	16	time	time	NOUN
cana-4842	20	17	-	-	PUNCT
cana-4842	20	18	consuming	consume	VERB
cana-4842	20	19	and	and	CCONJ
cana-4842	20	20	resource	resource	NOUN
cana-4842	20	21	intensive	intensive	ADJ
cana-4842	20	22	,	,	PUNCT
cana-4842	20	23	often	often	ADV
cana-4842	20	24	requiring	require	VERB
cana-4842	20	25	domain	domain	NOUN
cana-4842	20	26	expertise	expertise	NOUN
cana-4842	20	27	.	.	PUNCT
cana-4842	21	1	to	to	PART
cana-4842	21	2	bridge	bridge	VERB
cana-4842	21	3	the	the	DET
cana-4842	21	4	gaps	gap	NOUN
cana-4842	21	5	,	,	PUNCT
cana-4842	21	6	this	this	DET
cana-4842	21	7	paper	paper	NOUN
cana-4842	21	8	proposes	propose	VERB
cana-4842	21	9	a	a	DET
cana-4842	21	10	hybrid	hybrid	NOUN
cana-4842	21	11	,	,	PUNCT
cana-4842	21	12	multi	multi	ADJ
cana-4842	21	13	-	-	ADJ
cana-4842	21	14	method	method	ADJ
cana-4842	21	15	approach	approach	NOUN
cana-4842	21	16	that	that	PRON
cana-4842	21	17	brings	bring	VERB
cana-4842	21	18	together	together	ADV
cana-4842	21	19	advanced	advance	VERB
cana-4842	21	20	relational	relational	ADJ
cana-4842	21	21	,	,	PUNCT
cana-4842	21	22	temporal	temporal	ADJ
cana-4842	21	23	,	,	PUNCT
cana-4842	21	24	and	and	CCONJ
cana-4842	21	25	adversarial	adversarial	ADJ
cana-4842	21	26	techniques	technique	NOUN
cana-4842	21	27	to	to	PART
cana-4842	21	28	maximize	maximize	VERB
cana-4842	21	29	the	the	DET
cana-4842	21	30	detection	detection	NOUN
cana-4842	21	31	of	of	ADP
cana-4842	21	32	anomalies	anomaly	NOUN
cana-4842	21	33	in	in	ADP
cana-4842	21	34	encrypted	encrypt	VERB
cana-4842	21	35	traffic	traffic	NOUN
cana-4842	21	36	.	.	PUNCT
cana-4842	22	1	motivating	motivate	VERB
cana-4842	22	2	the	the	DET
cana-4842	22	3	proposed	propose	VERB
cana-4842	22	4	model	model	NOUN
cana-4842	22	5	are	be	AUX
cana-4842	22	6	graphsage	graphsage	NOUN
cana-4842	22	7	nodes	node	NOUN
cana-4842	22	8	,	,	PUNCT
cana-4842	22	9	applying	apply	VERB
cana-4842	22	10	node	node	ADJ
cana-4842	22	11	sampling	sampling	NOUN
cana-4842	22	12	and	and	CCONJ
cana-4842	22	13	aggregation	aggregation	NOUN
cana-4842	22	14	to	to	PART
cana-4842	22	15	represent	represent	VERB
cana-4842	22	16	network	network	NOUN
cana-4842	22	17	interactions	interaction	NOUN
cana-4842	22	18	as	as	ADP
cana-4842	22	19	relational	relational	ADJ
cana-4842	22	20	embeddings	embedding	NOUN
cana-4842	22	21	while	while	SCONJ
cana-4842	22	22	maintaining	maintain	VERB
cana-4842	22	23	the	the	DET
cana-4842	22	24	discovery	discovery	NOUN
cana-4842	22	25	of	of	ADP
cana-4842	22	26	dynamic	dynamic	ADJ
cana-4842	22	27	connections	connection	NOUN
cana-4842	22	28	within	within	ADP
cana-4842	22	29	network	network	NOUN
cana-4842	22	30	traffic	traffic	NOUN
cana-4842	22	31	.	.	PUNCT
cana-4842	23	1	the	the	DET
cana-4842	23	2	proposed	propose	VERB
cana-4842	23	3	model	model	NOUN
cana-4842	23	4	employs	employ	VERB
cana-4842	23	5	the	the	DET
cana-4842	23	6	simclr	simclr	NOUN
cana-4842	23	7	approach	approach	NOUN
cana-4842	23	8	,	,	PUNCT
cana-4842	23	9	a	a	DET
cana-4842	23	10	self	self	NOUN
cana-4842	23	11	-	-	PUNCT
cana-4842	23	12	supervised	supervise	VERB
cana-4842	23	13	contrastive	contrastive	ADJ
cana-4842	23	14	learning	learning	NOUN
cana-4842	23	15	method	method	NOUN
cana-4842	23	16	,	,	PUNCT
cana-4842	23	17	to	to	PART
cana-4842	23	18	address	address	VERB
cana-4842	23	19	the	the	DET
cana-4842	23	20	shortage	shortage	NOUN
cana-4842	23	21	of	of	ADP
cana-4842	23	22	labelled	label	VERB
cana-4842	23	23	data	datum	NOUN
cana-4842	23	24	and	and	CCONJ
cana-4842	23	25	transforms	transform	VERB
cana-4842	23	26	raw	raw	ADJ
cana-4842	23	27	traffic	traffic	NOUN
cana-4842	23	28	metadata	metadata	NOUN
cana-4842	23	29	into	into	ADP
cana-4842	23	30	high	high	ADJ
cana-4842	23	31	-	-	PUNCT
cana-4842	23	32	dimensional	dimensional	ADJ
cana-4842	23	33	embeddings	embedding	NOUN
cana-4842	23	34	that	that	PRON
cana-4842	23	35	reveal	reveal	VERB
cana-4842	23	36	intrinsic	intrinsic	ADJ
cana-4842	23	37	traffic	traffic	NOUN
cana-4842	23	38	patterns	pattern	NOUN
cana-4842	23	39	without	without	ADP
cana-4842	23	40	manual	manual	ADJ
cana-4842	23	41	annotation	annotation	NOUN
cana-4842	23	42	.	.	PUNCT
cana-4842	24	1	the	the	DET
cana-4842	24	2	temporal	temporal	ADJ
cana-4842	24	3	convolutional	convolutional	ADJ
cana-4842	24	4	transformer	transformer	NOUN
cana-4842	24	5	is	be	AUX
cana-4842	24	6	further	far	ADV
cana-4842	24	7	added	add	VERB
cana-4842	24	8	to	to	PART
cana-4842	24	9	make	make	VERB
cana-4842	24	10	improvements	improvement	NOUN
cana-4842	24	11	upon	upon	SCONJ
cana-4842	24	12	this	this	DET
cana-4842	24	13	model	model	NOUN
cana-4842	24	14	with	with	ADP
cana-4842	24	15	a	a	DET
cana-4842	24	16	sense	sense	NOUN
cana-4842	24	17	of	of	ADP
cana-4842	24	18	capturing	capture	VERB
cana-4842	24	19	long	long	ADJ
cana-4842	24	20	-	-	PUNCT
cana-4842	24	21	term	term	NOUN
cana-4842	24	22	dependencies	dependency	NOUN
cana-4842	24	23	in	in	ADP
cana-4842	24	24	traffic	traffic	NOUN
cana-4842	24	25	flow	flow	NOUN
cana-4842	24	26	sequences	sequence	NOUN
cana-4842	24	27	to	to	PART
cana-4842	24	28	identify	identify	AUX
cana-4842	24	29	successfully	successfully	ADV
cana-4842	24	30	triggered	trigger	VERB
cana-4842	24	31	temporal	temporal	ADJ
cana-4842	24	32	anomalies	anomaly	NOUN
cana-4842	24	33	across	across	ADP
cana-4842	24	34	extended	extended	ADJ
cana-4842	24	35	timeframes	timeframe	NOUN
cana-4842	24	36	.	.	PUNCT
cana-4842	25	1	synthetic	synthetic	ADJ
cana-4842	25	2	anomalies	anomaly	NOUN
cana-4842	25	3	added	add	VERB
cana-4842	25	4	to	to	ADP
cana-4842	25	5	the	the	DET
cana-4842	25	6	dataset	dataset	NOUN
cana-4842	25	7	through	through	ADP
cana-4842	25	8	adversarial	adversarial	ADJ
cana-4842	25	9	training	training	NOUN
cana-4842	25	10	via	via	ADP
cana-4842	25	11	cyclegan	cyclegan	PROPN
cana-4842	25	12	enhance	enhance	VERB
cana-4842	25	13	the	the	DET
cana-4842	25	14	model	model	NOUN
cana-4842	25	15	's	's	PART
cana-4842	25	16	robustness	robustness	NOUN
cana-4842	25	17	and	and	CCONJ
cana-4842	25	18	generalizability	generalizability	NOUN
cana-4842	25	19	toward	toward	ADP
cana-4842	25	20	new	new	ADJ
cana-4842	25	21	,	,	PUNCT
cana-4842	25	22	unseen	unseen	ADJ
cana-4842	25	23	attack	attack	NOUN
cana-4842	25	24	patterns	pattern	NOUN
cana-4842	25	25	.	.	PUNCT
cana-4842	26	1	finally	finally	ADV
cana-4842	26	2	,	,	PUNCT
cana-4842	26	3	an	an	DET
cana-4842	26	4	ensemble	ensemble	NOUN
cana-4842	26	5	of	of	ADP
cana-4842	26	6	xgboost	xgboost	NOUN
cana-4842	26	7	and	and	CCONJ
cana-4842	26	8	lstm	lstm	VERB
cana-4842	26	9	both	both	PRON
cana-4842	26	10	leverages	leverage	NOUN
cana-4842	26	11	relational	relational	ADJ
cana-4842	26	12	as	as	ADV
cana-4842	26	13	well	well	ADV
cana-4842	26	14	as	as	ADP
cana-4842	26	15	temporal	temporal	ADJ
cana-4842	26	16	insights	insight	NOUN
cana-4842	26	17	to	to	PART
cana-4842	26	18	generate	generate	VERB
cana-4842	26	19	highly	highly	ADV
cana-4842	26	20	accurate	accurate	ADJ
cana-4842	26	21	anomaly	anomaly	NOUN
cana-4842	26	22	scores	score	NOUN
cana-4842	26	23	while	while	SCONJ
cana-4842	26	24	sem	sem	NOUN
cana-4842	26	25	provides	provide	VERB
cana-4842	26	26	causal	causal	ADJ
cana-4842	26	27	interpretability	interpretability	NOUN
cana-4842	26	28	to	to	PART
cana-4842	26	29	better	well	ADV
cana-4842	26	30	help	help	VERB
cana-4842	26	31	analysts	analyst	NOUN
cana-4842	26	32	understand	understand	VERB
cana-4842	26	33	feature	feature	NOUN
cana-4842	26	34	relationships	relationship	NOUN
cana-4842	26	35	behind	behind	ADP
cana-4842	26	36	detected	detect	VERB
cana-4842	26	37	anomalies	anomaly	NOUN
cana-4842	26	38	.	.	PUNCT
cana-4842	27	1	it	it	PRON
cana-4842	27	2	can	can	AUX
cana-4842	27	3	achieve	achieve	VERB
cana-4842	27	4	high	high	ADJ
cana-4842	27	5	detection	detection	NOUN
cana-4842	27	6	accuracy	accuracy	NOUN
cana-4842	27	7	and	and	CCONJ
cana-4842	27	8	ensures	ensure	VERB
cana-4842	27	9	high	high	ADJ
cana-4842	27	10	interpretability	interpretability	NOUN
cana-4842	27	11	to	to	PART
cana-4842	27	12	trigger	trigger	VERB
cana-4842	27	13	timely	timely	ADJ
cana-4842	27	14	and	and	CCONJ
cana-4842	27	15	confident	confident	ADJ
cana-4842	27	16	action	action	NOUN
cana-4842	27	17	from	from	ADP
cana-4842	27	18	the	the	DET
cana-4842	27	19	cyber	cyber	NOUN
cana-4842	27	20	-	-	PUNCT
cana-4842	27	21	defense	defense	NOUN
cana-4842	27	22	teams	team	NOUN
cana-4842	27	23	on	on	ADP
cana-4842	27	24	anomalies	anomaly	NOUN
cana-4842	27	25	flagged	flag	VERB
cana-4842	27	26	.	.	PUNCT
cana-4842	28	1	this	this	DET
cana-4842	28	2	study	study	NOUN
cana-4842	28	3	unifies	unify	VERB
cana-4842	28	4	relational	relational	ADJ
cana-4842	28	5	,	,	PUNCT
cana-4842	28	6	temporal	temporal	ADJ
cana-4842	28	7	,	,	PUNCT
cana-4842	28	8	and	and	CCONJ
cana-4842	28	9	adversarial	adversarial	ADJ
cana-4842	28	10	learning	learning	NOUN
cana-4842	28	11	into	into	ADP
cana-4842	28	12	a	a	DET
cana-4842	28	13	single	single	ADJ
cana-4842	28	14	framework	framework	NOUN
cana-4842	28	15	scalable	scalable	ADJ
cana-4842	28	16	and	and	CCONJ
cana-4842	28	17	effective	effective	ADJ
cana-4842	28	18	for	for	ADP
cana-4842	28	19	securing	secure	VERB
cana-4842	28	20	encrypted	encrypt	VERB
cana-4842	28	21	network	network	NOUN
cana-4842	28	22	traffic	traffic	NOUN
cana-4842	28	23	against	against	ADP
cana-4842	28	24	evolving	evolve	VERB
cana-4842	28	25	threats	threat	NOUN
cana-4842	28	26	.	.	PUNCT
cana-4842	29	1	motivation	motivation	NOUN
cana-4842	29	2	&	&	CCONJ
cana-4842	29	3	contribution	contribution	NOUN
cana-4842	29	4	but	but	CCONJ
cana-4842	29	5	the	the	DET
cana-4842	29	6	motivation	motivation	NOUN
cana-4842	29	7	for	for	ADP
cana-4842	29	8	this	this	DET
cana-4842	29	9	work	work	NOUN
cana-4842	29	10	arises	arise	VERB
cana-4842	29	11	from	from	ADP
cana-4842	29	12	the	the	DET
cana-4842	29	13	inadequacies	inadequacy	NOUN
cana-4842	29	14	of	of	ADP
cana-4842	29	15	traditional	traditional	ADJ
cana-4842	29	16	and	and	CCONJ
cana-4842	29	17	single	single	ADJ
cana-4842	29	18	-	-	PUNCT
cana-4842	29	19	method	method	NOUN
cana-4842	29	20	anomaly	anomaly	NOUN
cana-4842	29	21	detection	detection	NOUN
cana-4842	29	22	frameworks	framework	NOUN
cana-4842	29	23	:	:	PUNCT
cana-4842	29	24	the	the	DET
cana-4842	29	25	inability	inability	NOUN
cana-4842	29	26	to	to	PART
cana-4842	29	27	maintain	maintain	VERB
cana-4842	29	28	efficacy	efficacy	NOUN
cana-4842	29	29	in	in	ADP
cana-4842	29	30	encrypted	encrypt	VERB
cana-4842	29	31	and	and	CCONJ
cana-4842	29	32	high	high	ADJ
cana-4842	29	33	-	-	PUNCT
cana-4842	29	34	throughput	throughput	NOUN
cana-4842	29	35	network	network	NOUN
cana-4842	29	36	environments	environment	NOUN
cana-4842	29	37	.	.	PUNCT
cana-4842	30	1	because	because	SCONJ
cana-4842	30	2	encryption	encryption	NOUN
cana-4842	30	3	increasingly	increasingly	ADV
cana-4842	30	4	conceals	conceal	VERB
cana-4842	30	5	traffic	traffic	NOUN
cana-4842	30	6	content	content	NOUN
cana-4842	30	7	,	,	PUNCT
cana-4842	30	8	anomaly	anomaly	NOUN
cana-4842	30	9	detection	detection	NOUN
cana-4842	30	10	has	have	AUX
cana-4842	30	11	become	become	VERB
cana-4842	30	12	even	even	ADV
cana-4842	30	13	more	more	ADV
cana-4842	30	14	reliant	reliant	ADJ
cana-4842	30	15	on	on	ADP
cana-4842	30	16	indirect	indirect	ADJ
cana-4842	30	17	behavioral	behavioral	ADJ
cana-4842	30	18	analysis	analysis	NOUN
cana-4842	30	19	and	and	CCONJ
cana-4842	30	20	now	now	ADV
cana-4842	30	21	requires	require	VERB
cana-4842	30	22	diverse	diverse	ADJ
cana-4842	30	23	and	and	CCONJ
cana-4842	30	24	complex	complex	ADJ
cana-4842	30	25	metadata	metadata	NOUN
cana-4842	30	26	samples	sample	NOUN
cana-4842	30	27	.	.	PUNCT
cana-4842	31	1	current	current	ADJ
cana-4842	31	2	approaches	approach	NOUN
cana-4842	31	3	miss	miss	VERB
cana-4842	31	4	many	many	ADJ
cana-4842	31	5	crucial	crucial	ADJ
cana-4842	31	6	relational	relational	ADJ
cana-4842	31	7	and	and	CCONJ
cana-4842	31	8	temporal	temporal	ADJ
cana-4842	31	9	dependencies	dependency	NOUN
cana-4842	31	10	or	or	CCONJ
cana-4842	31	11	fail	fail	VERB
cana-4842	31	12	to	to	PART
cana-4842	31	13	produce	produce	VERB
cana-4842	31	14	sufficiently	sufficiently	ADV
cana-4842	31	15	rich	rich	ADJ
cana-4842	31	16	artificial	artificial	ADJ
cana-4842	31	17	anomalies	anomaly	NOUN
cana-4842	31	18	corresponding	correspond	VERB
cana-4842	31	19	to	to	ADP
cana-4842	31	20	changing	change	VERB
cana-4842	31	21	threat	threat	NOUN
cana-4842	31	22	landscapes	landscape	NOUN
cana-4842	31	23	.	.	PUNCT
cana-4842	32	1	both	both	DET
cana-4842	32	2	issues	issue	NOUN
cana-4842	32	3	impair	impair	VERB
cana-4842	32	4	the	the	DET
cana-4842	32	5	efficiency	efficiency	NOUN
cana-4842	32	6	and	and	CCONJ
cana-4842	32	7	utility	utility	NOUN
cana-4842	32	8	of	of	ADP
cana-4842	32	9	cybersecurity	cybersecurity	NOUN
cana-4842	32	10	solutions	solution	NOUN
cana-4842	32	11	,	,	PUNCT
cana-4842	32	12	which	which	PRON
cana-4842	32	13	especially	especially	ADV
cana-4842	32	14	today	today	NOUN
cana-4842	32	15	are	be	AUX
cana-4842	32	16	communications	communication	NOUN
cana-4842	32	17	on	on	ADP
cana-4842	32	18	applied	apply	VERB
cana-4842	32	19	nonlinear	nonlinear	ADJ
cana-4842	32	20	analysis	analysis	NOUN
cana-4842	32	21	issn	issn	NOUN
cana-4842	32	22	:	:	PUNCT
cana-4842	32	23	1074	1074	NUM
cana-4842	32	24	-	-	PUNCT
cana-4842	32	25	133x	133x	NUM
cana-4842	32	26	vol	vol	VERB
cana-4842	32	27	32	32	NUM
cana-4842	32	28	no	no	NOUN
cana-4842	32	29	.	.	PUNCT
cana-4842	33	1	10s	10	NOUN
cana-4842	33	2	(	(	PUNCT
cana-4842	33	3	2025	2025	NUM
cana-4842	33	4	)	)	PUNCT
cana-4842	33	5	471	471	NUM
cana-4842	33	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	33	7	growingly	growingly	ADV
cana-4842	33	8	evolving	evolve	VERB
cana-4842	33	9	and	and	CCONJ
cana-4842	33	10	functionally	functionally	ADV
cana-4842	33	11	more	more	ADV
cana-4842	33	12	diverse	diverse	ADJ
cana-4842	33	13	than	than	ADP
cana-4842	33	14	simple	simple	ADJ
cana-4842	33	15	detection	detection	NOUN
cana-4842	33	16	schemes	scheme	NOUN
cana-4842	33	17	can	can	AUX
cana-4842	33	18	account	account	VERB
cana-4842	33	19	for	for	ADP
cana-4842	33	20	.	.	PUNCT
cana-4842	34	1	finally	finally	ADV
cana-4842	34	2	,	,	PUNCT
cana-4842	34	3	models	model	NOUN
cana-4842	34	4	lacking	lack	VERB
cana-4842	34	5	interpretability	interpretability	NOUN
cana-4842	34	6	tend	tend	VERB
cana-4842	34	7	to	to	PART
cana-4842	34	8	"	"	PUNCT
cana-4842	34	9	blind	blind	VERB
cana-4842	34	10	"	"	PUNCT
cana-4842	34	11	analysts	analyst	NOUN
cana-4842	34	12	to	to	ADP
cana-4842	34	13	the	the	DET
cana-4842	34	14	reason	reason	NOUN
cana-4842	34	15	for	for	ADP
cana-4842	34	16	flagged	flagged	ADJ
cana-4842	34	17	anomalies	anomaly	NOUN
cana-4842	34	18	,	,	PUNCT
cana-4842	34	19	impeding	impede	VERB
cana-4842	34	20	timely	timely	ADJ
cana-4842	34	21	and	and	CCONJ
cana-4842	34	22	informed	informed	ADJ
cana-4842	34	23	responses	response	NOUN
cana-4842	34	24	.	.	PUNCT
cana-4842	35	1	the	the	DET
cana-4842	35	2	paper	paper	NOUN
cana-4842	35	3	uses	use	VERB
cana-4842	35	4	state	state	NOUN
cana-4842	35	5	-	-	PUNCT
cana-4842	35	6	of	of	ADP
cana-4842	35	7	-	-	PUNCT
cana-4842	35	8	the	the	DET
cana-4842	35	9	-	-	PUNCT
cana-4842	35	10	art	art	NOUN
cana-4842	35	11	techniques	technique	NOUN
cana-4842	35	12	to	to	PART
cana-4842	35	13	create	create	VERB
cana-4842	35	14	the	the	DET
cana-4842	35	15	multi	multi	ADJ
cana-4842	35	16	-	-	ADJ
cana-4842	35	17	faceted	faceted	ADJ
cana-4842	35	18	anomaly	anomaly	NOUN
cana-4842	35	19	detection	detection	NOUN
cana-4842	35	20	model	model	NOUN
cana-4842	35	21	as	as	SCONJ
cana-4842	35	22	outlined	outline	VERB
cana-4842	35	23	within	within	ADP
cana-4842	35	24	,	,	PUNCT
cana-4842	35	25	which	which	PRON
cana-4842	35	26	addresses	address	VERB
cana-4842	35	27	the	the	DET
cana-4842	35	28	above	above	ADV
cana-4842	35	29	-	-	PUNCT
cana-4842	35	30	cited	cite	VERB
cana-4842	35	31	critical	critical	ADJ
cana-4842	35	32	challenges	challenge	NOUN
cana-4842	35	33	using	use	VERB
cana-4842	35	34	a	a	DET
cana-4842	35	35	framework	framework	NOUN
cana-4842	35	36	of	of	ADP
cana-4842	35	37	complex	complex	ADJ
cana-4842	35	38	combination	combination	NOUN
cana-4842	35	39	.	.	PUNCT
cana-4842	36	1	this	this	DET
cana-4842	36	2	multi	multi	ADJ
cana-4842	36	3	-	-	ADJ
cana-4842	36	4	dimensional	dimensional	ADJ
cana-4842	36	5	model	model	NOUN
cana-4842	36	6	captures	capture	VERB
cana-4842	36	7	the	the	DET
cana-4842	36	8	comprehensive	comprehensive	ADJ
cana-4842	36	9	nature	nature	NOUN
cana-4842	36	10	of	of	ADP
cana-4842	36	11	network	network	NOUN
cana-4842	36	12	traffic	traffic	NOUN
cana-4842	36	13	by	by	ADP
cana-4842	36	14	using	use	VERB
cana-4842	36	15	graphsage	graphsage	NOUN
cana-4842	36	16	for	for	ADP
cana-4842	36	17	relational	relational	ADJ
cana-4842	36	18	embeddings	embedding	NOUN
cana-4842	36	19	,	,	PUNCT
cana-4842	36	20	simclr	simclr	NOUN
cana-4842	36	21	for	for	ADP
cana-4842	36	22	feature	feature	NOUN
cana-4842	36	23	-	-	PUNCT
cana-4842	36	24	rich	rich	ADJ
cana-4842	36	25	self	self	NOUN
cana-4842	36	26	-	-	PUNCT
cana-4842	36	27	supervised	supervise	VERB
cana-4842	36	28	embeddings	embedding	NOUN
cana-4842	36	29	,	,	PUNCT
cana-4842	36	30	and	and	CCONJ
cana-4842	36	31	temporal	temporal	ADJ
cana-4842	36	32	convolutional	convolutional	ADJ
cana-4842	36	33	transformers	transformer	NOUN
cana-4842	36	34	for	for	ADP
cana-4842	36	35	temporal	temporal	ADJ
cana-4842	36	36	anomaly	anomaly	NOUN
cana-4842	36	37	recognition	recognition	NOUN
cana-4842	36	38	.	.	PUNCT
cana-4842	37	1	with	with	ADP
cana-4842	37	2	the	the	DET
cana-4842	37	3	use	use	NOUN
cana-4842	37	4	of	of	ADP
cana-4842	37	5	cyclegan	cyclegan	NOUN
cana-4842	37	6	,	,	PUNCT
cana-4842	37	7	the	the	DET
cana-4842	37	8	model	model	NOUN
cana-4842	37	9	's	's	PART
cana-4842	37	10	robustness	robustness	NOUN
cana-4842	37	11	is	be	AUX
cana-4842	37	12	further	far	ADV
cana-4842	37	13	increased	increase	VERB
cana-4842	37	14	since	since	SCONJ
cana-4842	37	15	this	this	PRON
cana-4842	37	16	can	can	AUX
cana-4842	37	17	produce	produce	VERB
cana-4842	37	18	more	more	ADV
cana-4842	37	19	realistic	realistic	ADJ
cana-4842	37	20	synthetic	synthetic	ADJ
cana-4842	37	21	anomalies	anomaly	NOUN
cana-4842	37	22	that	that	PRON
cana-4842	37	23	then	then	ADV
cana-4842	37	24	prepare	prepare	VERB
cana-4842	37	25	a	a	DET
cana-4842	37	26	system	system	NOUN
cana-4842	37	27	to	to	PART
cana-4842	37	28	handle	handle	VERB
cana-4842	37	29	new	new	ADJ
cana-4842	37	30	threats	threat	NOUN
cana-4842	37	31	.	.	PUNCT
cana-4842	38	1	xgboost	xgboost	PROPN
cana-4842	38	2	and	and	CCONJ
cana-4842	38	3	lstm	lstm	PROPN
cana-4842	38	4	ensemble	ensemble	ADJ
cana-4842	38	5	offers	offer	VERB
cana-4842	38	6	an	an	DET
cana-4842	38	7	interpretive	interpretive	ADJ
cana-4842	38	8	yet	yet	CCONJ
cana-4842	38	9	complex	complex	ADJ
cana-4842	38	10	anomaly	anomaly	NOUN
cana-4842	38	11	scoring	scoring	NOUN
cana-4842	38	12	approach	approach	NOUN
cana-4842	38	13	,	,	PUNCT
cana-4842	38	14	while	while	SCONJ
cana-4842	38	15	sem	sem	NOUN
cana-4842	38	16	has	have	VERB
cana-4842	38	17	a	a	DET
cana-4842	38	18	layer	layer	NOUN
cana-4842	38	19	added	add	VERB
cana-4842	38	20	to	to	PART
cana-4842	38	21	facilitate	facilitate	VERB
cana-4842	38	22	causality	causality	NOUN
cana-4842	38	23	for	for	ADP
cana-4842	38	24	interpretability	interpretability	NOUN
cana-4842	38	25	-	-	PUNCT
cana-4842	38	26	a	a	DET
cana-4842	38	27	situation	situation	NOUN
cana-4842	38	28	that	that	PRON
cana-4842	38	29	depicts	depict	VERB
cana-4842	38	30	relations	relation	NOUN
cana-4842	38	31	in	in	ADP
cana-4842	38	32	influencing	influence	VERB
cana-4842	38	33	anomaly	anomaly	NOUN
cana-4842	38	34	predictions	prediction	NOUN
cana-4842	38	35	.	.	PUNCT
cana-4842	39	1	such	such	DET
cana-4842	39	2	a	a	DET
cana-4842	39	3	combination	combination	NOUN
cana-4842	39	4	improves	improve	VERB
cana-4842	39	5	the	the	DET
cana-4842	39	6	accuracy	accuracy	NOUN
cana-4842	39	7	of	of	ADP
cana-4842	39	8	detection	detection	NOUN
cana-4842	39	9	and	and	CCONJ
cana-4842	39	10	recall	recall	NOUN
cana-4842	39	11	while	while	SCONJ
cana-4842	39	12	reducing	reduce	VERB
cana-4842	39	13	the	the	DET
cana-4842	39	14	number	number	NOUN
cana-4842	39	15	of	of	ADP
cana-4842	39	16	false	false	ADJ
cana-4842	39	17	positives	positive	NOUN
cana-4842	39	18	,	,	PUNCT
cana-4842	39	19	along	along	ADP
cana-4842	39	20	with	with	ADP
cana-4842	39	21	better	well	ADJ
cana-4842	39	22	response	response	NOUN
cana-4842	39	23	times	time	NOUN
cana-4842	39	24	for	for	ADP
cana-4842	39	25	cybersecurity	cybersecurity	NOUN
cana-4842	39	26	analysts	analyst	NOUN
cana-4842	39	27	.	.	PUNCT
cana-4842	40	1	in	in	ADP
cana-4842	40	2	light	light	NOUN
cana-4842	40	3	of	of	ADP
cana-4842	40	4	these	these	DET
cana-4842	40	5	contributions	contribution	NOUN
cana-4842	40	6	,	,	PUNCT
cana-4842	40	7	the	the	DET
cana-4842	40	8	proposed	propose	VERB
cana-4842	40	9	framework	framework	NOUN
cana-4842	40	10	here	here	ADV
cana-4842	40	11	is	be	AUX
cana-4842	40	12	able	able	ADJ
cana-4842	40	13	to	to	PART
cana-4842	40	14	present	present	VERB
cana-4842	40	15	a	a	DET
cana-4842	40	16	scalable	scalable	ADJ
cana-4842	40	17	,	,	PUNCT
cana-4842	40	18	interpretable	interpretable	ADJ
cana-4842	40	19	,	,	PUNCT
cana-4842	40	20	and	and	CCONJ
cana-4842	40	21	highly	highly	ADV
cana-4842	40	22	effective	effective	ADJ
cana-4842	40	23	solution	solution	NOUN
cana-4842	40	24	for	for	ADP
cana-4842	40	25	encrypting	encrypt	VERB
cana-4842	40	26	network	network	NOUN
cana-4842	40	27	traffic	traffic	NOUN
cana-4842	40	28	in	in	ADP
cana-4842	40	29	complex	complex	ADJ
cana-4842	40	30	,	,	PUNCT
cana-4842	40	31	modern	modern	ADJ
cana-4842	40	32	network	network	NOUN
cana-4842	40	33	environments	environment	NOUN
cana-4842	40	34	.	.	PUNCT
cana-4842	41	1	the	the	DET
cana-4842	41	2	remaining	remain	VERB
cana-4842	41	3	paper	paper	NOUN
cana-4842	41	4	is	be	AUX
cana-4842	41	5	organized	organize	VERB
cana-4842	41	6	as	as	SCONJ
cana-4842	41	7	follows	follow	VERB
cana-4842	41	8	,	,	PUNCT
cana-4842	41	9	in	in	ADP
cana-4842	41	10	section	section	NOUN
cana-4842	41	11	2	2	NUM
cana-4842	41	12	briefly	briefly	ADV
cana-4842	41	13	discussed	discuss	VERB
cana-4842	41	14	about	about	ADP
cana-4842	41	15	the	the	DET
cana-4842	41	16	literature	literature	NOUN
cana-4842	41	17	available	available	ADJ
cana-4842	41	18	for	for	ADP
cana-4842	41	19	this	this	DET
cana-4842	41	20	problem	problem	NOUN
cana-4842	41	21	.	.	PUNCT
cana-4842	42	1	the	the	DET
cana-4842	42	2	proposed	propose	VERB
cana-4842	42	3	rate	rate	NOUN
cana-4842	42	4	-	-	PUNCT
cana-4842	42	5	rad	rad	NOUN
cana-4842	42	6	model	model	NOUN
cana-4842	42	7	architecture	architecture	NOUN
cana-4842	42	8	and	and	CCONJ
cana-4842	42	9	flow	flow	NOUN
cana-4842	42	10	of	of	ADP
cana-4842	42	11	the	the	DET
cana-4842	42	12	process	process	NOUN
cana-4842	42	13	is	be	AUX
cana-4842	42	14	explained	explain	VERB
cana-4842	42	15	in	in	ADP
cana-4842	42	16	section	section	NOUN
cana-4842	42	17	3	3	NUM
cana-4842	42	18	.	.	PUNCT
cana-4842	43	1	the	the	DET
cana-4842	43	2	experimental	experimental	ADJ
cana-4842	43	3	evaluated	evaluate	VERB
cana-4842	43	4	results	result	NOUN
cana-4842	43	5	of	of	ADP
cana-4842	43	6	this	this	DET
cana-4842	43	7	model	model	NOUN
cana-4842	43	8	with	with	ADP
cana-4842	43	9	comparative	comparative	ADJ
cana-4842	43	10	analysis	analysis	NOUN
cana-4842	43	11	of	of	ADP
cana-4842	43	12	contemporary	contemporary	ADJ
cana-4842	43	13	models	model	NOUN
cana-4842	43	14	are	be	AUX
cana-4842	43	15	presented	present	VERB
cana-4842	43	16	and	and	CCONJ
cana-4842	43	17	discussed	discuss	VERB
cana-4842	43	18	in	in	ADP
cana-4842	43	19	section	section	NOUN
cana-4842	43	20	4	4	NUM
cana-4842	43	21	.	.	PUNCT
cana-4842	44	1	finally	finally	ADV
cana-4842	44	2	the	the	DET
cana-4842	44	3	conclusions	conclusion	NOUN
cana-4842	44	4	and	and	CCONJ
cana-4842	44	5	future	future	ADJ
cana-4842	44	6	scope	scope	NOUN
cana-4842	44	7	of	of	ADP
cana-4842	44	8	this	this	DET
cana-4842	44	9	work	work	NOUN
cana-4842	44	10	is	be	AUX
cana-4842	44	11	given	give	VERB
cana-4842	44	12	in	in	ADP
cana-4842	44	13	section	section	NOUN
cana-4842	44	14	5	5	NUM
cana-4842	44	15	.	.	NOUN
cana-4842	44	16	2	2	NUM
cana-4842	44	17	.	.	X
cana-4842	44	18	literature	literature	NOUN
cana-4842	44	19	review	review	PROPN
cana-4842	44	20	network	network	NOUN
cana-4842	44	21	security	security	NOUN
cana-4842	44	22	,	,	PUNCT
cana-4842	44	23	especially	especially	ADV
cana-4842	44	24	anomaly	anomaly	NOUN
cana-4842	44	25	detection	detection	NOUN
cana-4842	44	26	in	in	ADP
cana-4842	44	27	encrypted	encrypt	VERB
cana-4842	44	28	traffic	traffic	NOUN
cana-4842	44	29	,	,	PUNCT
cana-4842	44	30	has	have	AUX
cana-4842	44	31	attracted	attract	VERB
cana-4842	44	32	an	an	DET
cana-4842	44	33	extensive	extensive	ADJ
cana-4842	44	34	amount	amount	NOUN
cana-4842	44	35	of	of	ADP
cana-4842	44	36	research	research	NOUN
cana-4842	44	37	in	in	ADP
cana-4842	44	38	recent	recent	ADJ
cana-4842	44	39	years	year	NOUN
cana-4842	44	40	.	.	PUNCT
cana-4842	45	1	after	after	ADP
cana-4842	45	2	critically	critically	ADV
cana-4842	45	3	reading	read	VERB
cana-4842	45	4	and	and	CCONJ
cana-4842	45	5	commenting	comment	VERB
cana-4842	45	6	on	on	ADP
cana-4842	45	7	these	these	DET
cana-4842	45	8	twenty	twenty	NUM
cana-4842	45	9	-	-	PUNCT
cana-4842	45	10	five	five	NUM
cana-4842	45	11	research	research	NOUN
cana-4842	45	12	papers	paper	NOUN
cana-4842	45	13	,	,	PUNCT
cana-4842	45	14	several	several	ADJ
cana-4842	45	15	critical	critical	ADJ
cana-4842	45	16	advances	advance	NOUN
cana-4842	45	17	and	and	CCONJ
cana-4842	45	18	innovations	innovation	NOUN
cana-4842	45	19	in	in	ADP
cana-4842	45	20	the	the	DET
cana-4842	45	21	field	field	NOUN
cana-4842	45	22	can	can	AUX
cana-4842	45	23	be	be	AUX
cana-4842	45	24	suggested	suggest	VERB
cana-4842	45	25	,	,	PUNCT
cana-4842	45	26	making	make	VERB
cana-4842	45	27	light	light	NOUN
cana-4842	45	28	of	of	ADP
cana-4842	45	29	the	the	DET
cana-4842	45	30	current	current	ADJ
cana-4842	45	31	landscape	landscape	NOUN
cana-4842	45	32	and	and	CCONJ
cana-4842	45	33	challenges	challenge	NOUN
cana-4842	45	34	in	in	ADP
cana-4842	45	35	network	network	NOUN
cana-4842	45	36	anomaly	anomaly	NOUN
cana-4842	45	37	detection	detection	NOUN
cana-4842	45	38	.	.	PUNCT
cana-4842	46	1	bayrak	bayrak	PROPN
cana-4842	47	1	[	[	X
cana-4842	47	2	1	1	X
cana-4842	47	3	]	]	PUNCT
cana-4842	47	4	primarily	primarily	ADV
cana-4842	47	5	tests	test	VERB
cana-4842	47	6	intrusion	intrusion	NOUN
cana-4842	47	7	detection	detection	NOUN
cana-4842	47	8	in	in	ADP
cana-4842	47	9	encrypted	encrypt	VERB
cana-4842	47	10	wi	wi	PROPN
cana-4842	47	11	-	-	PUNCT
cana-4842	47	12	fi	fi	NOUN
cana-4842	47	13	traffic	traffic	NOUN
cana-4842	47	14	by	by	ADP
cana-4842	47	15	constructing	construct	VERB
cana-4842	47	16	an	an	DET
cana-4842	47	17	explainable	explainable	ADJ
cana-4842	47	18	svm	svm	ADJ
cana-4842	47	19	approach	approach	NOUN
cana-4842	47	20	,	,	PUNCT
cana-4842	47	21	that	that	SCONJ
cana-4842	47	22	in	in	ADP
cana-4842	47	23	itself	itself	PRON
cana-4842	47	24	underscores	underscore	VERB
cana-4842	47	25	the	the	DET
cana-4842	47	26	demand	demand	NOUN
cana-4842	47	27	for	for	ADP
cana-4842	47	28	transparency	transparency	NOUN
cana-4842	47	29	in	in	ADP
cana-4842	47	30	network	network	NOUN
cana-4842	47	31	security	security	NOUN
cana-4842	47	32	,	,	PUNCT
cana-4842	47	33	particularly	particularly	ADV
cana-4842	47	34	in	in	ADP
cana-4842	47	35	uav	uav	PROPN
cana-4842	47	36	applications	application	NOUN
cana-4842	47	37	.	.	PUNCT
cana-4842	48	1	this	this	PRON
cana-4842	48	2	is	be	AUX
cana-4842	48	3	complemented	complement	VERB
cana-4842	48	4	by	by	ADP
cana-4842	48	5	hou	hou	PROPN
cana-4842	48	6	et	et	PROPN
cana-4842	48	7	al	al	PROPN
cana-4842	48	8	.	.	PUNCT
cana-4842	49	1	[	[	X
cana-4842	49	2	2	2	NUM
cana-4842	49	3	]	]	PUNCT
cana-4842	49	4	,	,	PUNCT
cana-4842	49	5	who	who	PRON
cana-4842	49	6	proposed	propose	VERB
cana-4842	49	7	a	a	DET
cana-4842	49	8	model	model	NOUN
cana-4842	49	9	of	of	ADP
cana-4842	49	10	a	a	DET
cana-4842	49	11	reweight	reweight	NOUN
cana-4842	49	12	-	-	PUNCT
cana-4842	49	13	long	long	ADJ
cana-4842	49	14	short	short	ADJ
cana-4842	49	15	-	-	PUNCT
cana-4842	49	16	term	term	NOUN
cana-4842	49	17	memory	memory	NOUN
cana-4842	49	18	(	(	PUNCT
cana-4842	49	19	rew	rew	NOUN
cana-4842	49	20	-	-	PUNCT
cana-4842	49	21	lstm	lstm	ADJ
cana-4842	49	22	)	)	PUNCT
cana-4842	49	23	network	network	NOUN
cana-4842	49	24	.	.	PUNCT
cana-4842	50	1	they	they	PRON
cana-4842	50	2	demonstrated	demonstrate	VERB
cana-4842	50	3	that	that	SCONJ
cana-4842	50	4	the	the	DET
cana-4842	50	5	packet	packet	NOUN
cana-4842	50	6	header	header	NOUN
cana-4842	50	7	information	information	NOUN
cana-4842	50	8	can	can	AUX
cana-4842	50	9	indeed	indeed	ADV
cana-4842	50	10	improve	improve	VERB
cana-4842	50	11	the	the	DET
cana-4842	50	12	classification	classification	NOUN
cana-4842	50	13	of	of	ADP
cana-4842	50	14	encrypted	encrypt	VERB
cana-4842	50	15	traffic	traffic	NOUN
cana-4842	50	16	.	.	PUNCT
cana-4842	51	1	zhou	zhou	PROPN
cana-4842	51	2	et	et	PROPN
cana-4842	51	3	al	al	PROPN
cana-4842	51	4	.	.	PUNCT
cana-4842	52	1	[	[	X
cana-4842	52	2	3	3	NUM
cana-4842	52	3	]	]	PUNCT
cana-4842	52	4	introduce	introduce	VERB
cana-4842	52	5	unsupervised	unsupervised	ADJ
cana-4842	52	6	feature	feature	NOUN
cana-4842	52	7	adaptive	adaptive	ADJ
cana-4842	52	8	learning	learning	NOUN
cana-4842	52	9	to	to	PART
cana-4842	52	10	extract	extract	VERB
cana-4842	52	11	malicious	malicious	ADJ
cana-4842	52	12	features	feature	NOUN
cana-4842	52	13	from	from	ADP
cana-4842	52	14	encrypted	encrypt	VERB
cana-4842	52	15	traffic	traffic	NOUN
cana-4842	52	16	,	,	PUNCT
cana-4842	52	17	thus	thus	ADV
cana-4842	52	18	filling	fill	VERB
cana-4842	52	19	up	up	ADP
cana-4842	52	20	one	one	NUM
cana-4842	52	21	of	of	ADP
cana-4842	52	22	the	the	DET
cana-4842	52	23	wellknown	wellknown	ADJ
cana-4842	52	24	gaps	gap	NOUN
cana-4842	52	25	as	as	SCONJ
cana-4842	52	26	proposed	propose	VERB
cana-4842	52	27	by	by	ADP
cana-4842	52	28	them	they	PRON
cana-4842	52	29	through	through	ADP
cana-4842	52	30	their	their	PRON
cana-4842	52	31	novel	novel	ADJ
cana-4842	52	32	approach	approach	NOUN
cana-4842	52	33	of	of	ADP
cana-4842	52	34	automatically	automatically	ADV
cana-4842	52	35	identifying	identify	VERB
cana-4842	52	36	potentially	potentially	ADV
cana-4842	52	37	hazardous	hazardous	ADJ
cana-4842	52	38	patterns	pattern	NOUN
cana-4842	52	39	without	without	ADP
cana-4842	52	40	labeled	label	VERB
cana-4842	52	41	data	data	NOUN
cana-4842	52	42	samples	sample	NOUN
cana-4842	52	43	.	.	PUNCT
cana-4842	53	1	this	this	DET
cana-4842	53	2	interest	interest	NOUN
cana-4842	53	3	in	in	ADP
cana-4842	53	4	interpretability	interpretability	NOUN
cana-4842	53	5	and	and	CCONJ
cana-4842	53	6	selfautomatic	selfautomatic	ADJ
cana-4842	53	7	feature	feature	NOUN
cana-4842	53	8	extraction	extraction	NOUN
cana-4842	53	9	is	be	AUX
cana-4842	53	10	then	then	ADV
cana-4842	53	11	further	far	ADV
cana-4842	53	12	elaborated	elaborate	VERB
cana-4842	53	13	upon	upon	SCONJ
cana-4842	53	14	in	in	ADP
cana-4842	53	15	the	the	DET
cana-4842	53	16	work	work	NOUN
cana-4842	53	17	of	of	ADP
cana-4842	53	18	niktabe	niktabe	PROPN
cana-4842	53	19	et	et	PROPN
cana-4842	53	20	al	al	PROPN
cana-4842	53	21	.	.	PROPN
cana-4842	54	1	concerning	concern	VERB
cana-4842	54	2	dns	dns	NOUN
cana-4842	54	3	-	-	PUNCT
cana-4842	54	4	over	over	ADP
cana-4842	54	5	-	-	PUNCT
cana-4842	54	6	https	https	NOUN
cana-4842	54	7	(	(	PUNCT
cana-4842	54	8	doh	doh	NOUN
cana-4842	54	9	)	)	PUNCT
cana-4842	54	10	traffic	traffic	NOUN
cana-4842	55	1	[	[	X
cana-4842	55	2	4	4	NUM
cana-4842	55	3	]	]	PUNCT
cana-4842	55	4	,	,	PUNCT
cana-4842	55	5	by	by	ADP
cana-4842	55	6	creating	create	VERB
cana-4842	55	7	a	a	DET
cana-4842	55	8	balanced	balanced	ADJ
cana-4842	55	9	dataset	dataset	NOUN
cana-4842	55	10	on	on	ADP
cana-4842	55	11	doh	doh	PROPN
cana-4842	55	12	,	,	PUNCT
cana-4842	55	13	which	which	PRON
cana-4842	55	14	highlights	highlight	VERB
cana-4842	55	15	the	the	DET
cana-4842	55	16	importance	importance	NOUN
cana-4842	55	17	of	of	ADP
cana-4842	55	18	diversity	diversity	NOUN
cana-4842	55	19	and	and	CCONJ
cana-4842	55	20	robustness	robustness	NOUN
cana-4842	55	21	within	within	ADP
cana-4842	55	22	the	the	DET
cana-4842	55	23	datasets	dataset	NOUN
cana-4842	55	24	for	for	ADP
cana-4842	55	25	accurate	accurate	ADJ
cana-4842	55	26	detection	detection	NOUN
cana-4842	55	27	within	within	ADP
cana-4842	55	28	encrypted	encrypt	VERB
cana-4842	55	29	networks	network	NOUN
cana-4842	55	30	.	.	PUNCT
cana-4842	56	1	meanwhile	meanwhile	ADV
cana-4842	56	2	,	,	PUNCT
cana-4842	56	3	yang	yang	PROPN
cana-4842	56	4	et	et	PROPN
cana-4842	56	5	al	al	PROPN
cana-4842	56	6	.	.	PUNCT
cana-4842	57	1	[	[	X
cana-4842	57	2	5	5	NUM
cana-4842	57	3	]	]	PUNCT
cana-4842	57	4	introduce	introduce	NOUN
cana-4842	57	5	flowspectrum	flowspectrum	ADJ
cana-4842	57	6	:	:	PUNCT
cana-4842	57	7	characterization	characterization	NOUN
cana-4842	57	8	model	model	NOUN
cana-4842	57	9	for	for	ADP
cana-4842	57	10	anomalyfocused	anomalyfocuse	VERB
cana-4842	57	11	network	network	NOUN
cana-4842	57	12	behavior	behavior	NOUN
cana-4842	57	13	detection	detection	NOUN
cana-4842	57	14	.	.	PUNCT
cana-4842	58	1	it	it	PRON
cana-4842	58	2	further	far	ADV
cana-4842	58	3	authenticated	authenticate	VERB
cana-4842	58	4	how	how	SCONJ
cana-4842	58	5	thorough	thorough	ADJ
cana-4842	58	6	traffic	traffic	NOUN
cana-4842	58	7	profiling	profiling	NOUN
cana-4842	58	8	is	be	AUX
cana-4842	58	9	important	important	ADJ
cana-4842	58	10	for	for	ADP
cana-4842	58	11	high	high	ADJ
cana-4842	58	12	anomaly	anomaly	NOUN
cana-4842	58	13	detection	detection	NOUN
cana-4842	58	14	accuracy	accuracy	NOUN
cana-4842	58	15	.	.	PUNCT
cana-4842	59	1	taking	take	VERB
cana-4842	59	2	the	the	DET
cana-4842	59	3	above	above	NOUN
cana-4842	59	4	to	to	ADP
cana-4842	59	5	the	the	DET
cana-4842	59	6	next	next	ADJ
cana-4842	59	7	level	level	NOUN
cana-4842	59	8	,	,	PUNCT
cana-4842	59	9	niktabe	niktabe	PROPN
cana-4842	59	10	et	et	PROPN
cana-4842	59	11	al	al	PROPN
cana-4842	59	12	.	.	PUNCT
cana-4842	60	1	[	[	X
cana-4842	60	2	6	6	NUM
cana-4842	60	3	]	]	PUNCT
cana-4842	60	4	communications	communication	NOUN
cana-4842	60	5	on	on	ADP
cana-4842	60	6	applied	apply	VERB
cana-4842	60	7	nonlinear	nonlinear	ADJ
cana-4842	60	8	analysis	analysis	NOUN
cana-4842	60	9	issn	issn	NOUN
cana-4842	60	10	:	:	PUNCT
cana-4842	60	11	1074	1074	NUM
cana-4842	60	12	-	-	PUNCT
cana-4842	60	13	133x	133x	NUM
cana-4842	60	14	vol	vol	VERB
cana-4842	60	15	32	32	NUM
cana-4842	60	16	no	no	NOUN
cana-4842	60	17	.	.	PUNCT
cana-4842	61	1	10s	10	NOUN
cana-4842	61	2	(	(	PUNCT
cana-4842	61	3	2025	2025	NUM
cana-4842	61	4	)	)	PUNCT
cana-4842	61	5	472	472	NUM
cana-4842	62	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	62	2	demonstrated	demonstrate	VERB
cana-4842	62	3	further	further	ADJ
cana-4842	62	4	investigation	investigation	NOUN
cana-4842	62	5	of	of	ADP
cana-4842	62	6	doh	doh	PROPN
cana-4842	62	7	traffic	traffic	NOUN
cana-4842	62	8	detection	detection	NOUN
cana-4842	62	9	by	by	ADP
cana-4842	62	10	integrating	integrate	VERB
cana-4842	62	11	statistical	statistical	ADJ
cana-4842	62	12	pattern	pattern	NOUN
cana-4842	62	13	recognition	recognition	NOUN
cana-4842	62	14	methods	method	NOUN
cana-4842	62	15	to	to	PART
cana-4842	62	16	provide	provide	VERB
cana-4842	62	17	enriched	enrich	VERB
cana-4842	62	18	,	,	PUNCT
cana-4842	62	19	interpretable	interpretable	ADJ
cana-4842	62	20	anomaly	anomaly	NOUN
cana-4842	62	21	detection	detection	NOUN
cana-4842	62	22	.	.	PUNCT
cana-4842	63	1	however	however	ADV
cana-4842	63	2	,	,	PUNCT
cana-4842	63	3	seydali	seydali	PROPN
cana-4842	63	4	et	et	PROPN
cana-4842	63	5	al	al	PROPN
cana-4842	63	6	.	.	PUNCT
cana-4842	64	1	[	[	X
cana-4842	64	2	7	7	NUM
cana-4842	64	3	]	]	PUNCT
cana-4842	64	4	are	be	AUX
cana-4842	64	5	well	well	ADV
cana-4842	64	6	-	-	PUNCT
cana-4842	64	7	placed	place	VERB
cana-4842	64	8	to	to	PART
cana-4842	64	9	deal	deal	VERB
cana-4842	64	10	with	with	ADP
cana-4842	64	11	the	the	DET
cana-4842	64	12	practicalities	practicality	NOUN
cana-4842	64	13	of	of	ADP
cana-4842	64	14	handling	handle	VERB
cana-4842	64	15	large	large	ADJ
cana-4842	64	16	-	-	PUNCT
cana-4842	64	17	scale	scale	NOUN
cana-4842	64	18	streaming	streaming	NOUN
cana-4842	64	19	traffic	traffic	NOUN
cana-4842	64	20	based	base	VERB
cana-4842	64	21	on	on	ADP
cana-4842	64	22	a	a	DET
cana-4842	64	23	hybrid	hybrid	ADJ
cana-4842	64	24	deep	deep	ADJ
cana-4842	64	25	learning	learning	NOUN
cana-4842	64	26	combined	combine	VERB
cana-4842	64	27	approach	approach	NOUN
cana-4842	64	28	with	with	ADP
cana-4842	64	29	big	big	ADJ
cana-4842	64	30	data	datum	NOUN
cana-4842	64	31	processing	processing	NOUN
cana-4842	64	32	,	,	PUNCT
cana-4842	64	33	thus	thus	ADV
cana-4842	64	34	showing	show	VERB
cana-4842	64	35	the	the	DET
cana-4842	64	36	need	need	NOUN
cana-4842	64	37	for	for	ADP
cana-4842	64	38	scalability	scalability	NOUN
cana-4842	64	39	when	when	SCONJ
cana-4842	64	40	one	one	PRON
cana-4842	64	41	is	be	AUX
cana-4842	64	42	dealing	deal	VERB
cana-4842	64	43	with	with	ADP
cana-4842	64	44	real	real	ADJ
cana-4842	64	45	-	-	PUNCT
cana-4842	64	46	time	time	NOUN
cana-4842	64	47	traffic	traffic	NOUN
cana-4842	64	48	analysis	analysis	NOUN
cana-4842	64	49	.	.	PUNCT
cana-4842	65	1	papanikolaou	papanikolaou	NOUN
cana-4842	65	2	et	et	PROPN
cana-4842	65	3	al	al	PROPN
cana-4842	65	4	.	.	PUNCT
cana-4842	66	1	[	[	X
cana-4842	66	2	8	8	NUM
cana-4842	66	3	]	]	PUNCT
cana-4842	66	4	explored	explore	VERB
cana-4842	66	5	automl	automl	ADJ
cana-4842	66	6	capabilities	capability	NOUN
cana-4842	66	7	for	for	ADP
cana-4842	66	8	network	network	NOUN
cana-4842	66	9	security	security	NOUN
cana-4842	66	10	by	by	ADP
cana-4842	66	11	designing	design	VERB
cana-4842	66	12	an	an	DET
cana-4842	66	13	automlbased	automlbased	ADJ
cana-4842	66	14	traffic	traffic	NOUN
cana-4842	66	15	analyzer	analyzer	NOUN
cana-4842	66	16	for	for	ADP
cana-4842	66	17	cyber	cyber	NOUN
cana-4842	66	18	threat	threat	NOUN
cana-4842	66	19	detection	detection	NOUN
cana-4842	66	20	.	.	PUNCT
cana-4842	67	1	since	since	SCONJ
cana-4842	67	2	today	today	NOUN
cana-4842	67	3	's	's	PART
cana-4842	67	4	threats	threat	NOUN
cana-4842	67	5	are	be	AUX
cana-4842	67	6	considered	consider	VERB
cana-4842	67	7	to	to	PART
cana-4842	67	8	be	be	AUX
cana-4842	67	9	dynamic	dynamic	ADJ
cana-4842	67	10	,	,	PUNCT
cana-4842	67	11	automation	automation	NOUN
cana-4842	67	12	in	in	ADP
cana-4842	67	13	model	model	NOUN
cana-4842	67	14	selection	selection	NOUN
cana-4842	67	15	is	be	AUX
cana-4842	67	16	an	an	DET
cana-4842	67	17	advantage	advantage	NOUN
cana-4842	67	18	to	to	PART
cana-4842	67	19	provide	provide	VERB
cana-4842	67	20	adaptive	adaptive	ADJ
cana-4842	67	21	,	,	PUNCT
cana-4842	67	22	self	self	NOUN
cana-4842	67	23	-	-	PUNCT
cana-4842	67	24	optimizing	optimize	VERB
cana-4842	67	25	network	network	NOUN
cana-4842	67	26	monitoring	monitoring	NOUN
cana-4842	67	27	.	.	PUNCT
cana-4842	68	1	in	in	ADP
cana-4842	68	2	the	the	DET
cana-4842	68	3	context	context	NOUN
cana-4842	68	4	of	of	ADP
cana-4842	68	5	industries	industry	NOUN
cana-4842	68	6	,	,	PUNCT
cana-4842	68	7	jayalaxmi	jayalaxmi	PROPN
cana-4842	68	8	et	et	PROPN
cana-4842	68	9	al	al	PROPN
cana-4842	68	10	.	.	PUNCT
cana-4842	69	1	[	[	X
cana-4842	69	2	9	9	NUM
cana-4842	69	3	]	]	PUNCT
cana-4842	69	4	explored	explore	VERB
cana-4842	69	5	malware	malware	NOUN
cana-4842	69	6	detection	detection	NOUN
cana-4842	69	7	using	use	VERB
cana-4842	69	8	madesant	madesant	NOUN
cana-4842	69	9	-	-	PUNCT
cana-4842	69	10	a	a	DET
cana-4842	69	11	technique	technique	NOUN
cana-4842	69	12	that	that	PRON
cana-4842	69	13	suits	suit	VERB
cana-4842	69	14	industrial	industrial	ADJ
cana-4842	69	15	domains	domain	NOUN
cana-4842	69	16	-	-	PUNCT
cana-4842	69	17	thus	thus	ADV
cana-4842	69	18	increasing	increase	VERB
cana-4842	69	19	the	the	DET
cana-4842	69	20	importance	importance	NOUN
cana-4842	69	21	of	of	ADP
cana-4842	69	22	domainspecific	domainspecific	NOUN
cana-4842	69	23	models	model	NOUN
cana-4842	69	24	to	to	PART
cana-4842	69	25	handle	handle	VERB
cana-4842	69	26	traffic	traffic	NOUN
cana-4842	69	27	.	.	PUNCT
cana-4842	70	1	gouda	gouda	NOUN
cana-4842	70	2	et	et	PROPN
cana-4842	70	3	al	al	PROPN
cana-4842	70	4	.	.	PUNCT
cana-4842	71	1	[	[	X
cana-4842	71	2	10	10	NUM
cana-4842	71	3	]	]	PUNCT
cana-4842	71	4	supports	support	VERB
cana-4842	71	5	anomaly	anomaly	NOUN
cana-4842	71	6	detection	detection	NOUN
cana-4842	71	7	through	through	ADP
cana-4842	71	8	optimization	optimization	NOUN
cana-4842	71	9	of	of	ADP
cana-4842	71	10	machine	machine	NOUN
cana-4842	71	11	learning	learn	VERB
cana-4842	71	12	classifiers	classifier	NOUN
cana-4842	71	13	with	with	ADP
cana-4842	71	14	respect	respect	NOUN
cana-4842	71	15	to	to	ADP
cana-4842	71	16	the	the	DET
cana-4842	71	17	trade	trade	NOUN
cana-4842	71	18	-	-	PUNCT
cana-4842	71	19	off	off	NOUN
cana-4842	71	20	between	between	ADP
cana-4842	71	21	sensitivity	sensitivity	NOUN
cana-4842	71	22	and	and	CCONJ
cana-4842	71	23	specificity	specificity	NOUN
cana-4842	71	24	.	.	PUNCT
cana-4842	72	1	finally	finally	ADV
cana-4842	72	2	,	,	PUNCT
cana-4842	72	3	cali	cali	PROPN
cana-4842	72	4	et	et	PROPN
cana-4842	72	5	al	al	PROPN
cana-4842	72	6	.	.	PUNCT
cana-4842	73	1	[	[	X
cana-4842	73	2	11	11	NUM
cana-4842	73	3	]	]	PUNCT
cana-4842	73	4	discuss	discuss	VERB
cana-4842	73	5	cyber	cyber	NOUN
cana-4842	73	6	-	-	PUNCT
cana-4842	73	7	physical	physical	ADJ
cana-4842	73	8	systems	system	NOUN
cana-4842	73	9	and	and	CCONJ
cana-4842	73	10	introduce	introduce	VERB
cana-4842	73	11	algorithms	algorithm	NOUN
cana-4842	73	12	for	for	ADP
cana-4842	73	13	pmu	pmu	PROPN
cana-4842	73	14	anomaly	anomaly	PROPN
cana-4842	73	15	detection	detection	NOUN
cana-4842	73	16	in	in	ADP
cana-4842	73	17	a	a	DET
cana-4842	73	18	sense	sense	NOUN
cana-4842	73	19	of	of	ADP
cana-4842	73	20	dueling	duel	VERB
cana-4842	73	21	.	.	PUNCT
cana-4842	74	1	specifically	specifically	ADV
cana-4842	74	2	,	,	PUNCT
cana-4842	74	3	tailored	tailor	VERB
cana-4842	74	4	algorithms	algorithm	NOUN
cana-4842	74	5	are	be	AUX
cana-4842	74	6	of	of	ADP
cana-4842	74	7	importance	importance	NOUN
cana-4842	74	8	because	because	SCONJ
cana-4842	74	9	power	power	NOUN
cana-4842	74	10	systems	system	NOUN
cana-4842	74	11	are	be	AUX
cana-4842	74	12	highly	highly	ADV
cana-4842	74	13	specialized	specialized	ADJ
cana-4842	74	14	and	and	CCONJ
cana-4842	74	15	sensitive	sensitive	ADJ
cana-4842	74	16	.	.	PUNCT
cana-4842	75	1	now	now	ADV
cana-4842	75	2	,	,	PUNCT
cana-4842	75	3	proceeding	proceed	VERB
cana-4842	75	4	towards	towards	ADP
cana-4842	75	5	the	the	DET
cana-4842	75	6	industrial	industrial	ADJ
cana-4842	75	7	domain	domain	NOUN
cana-4842	75	8	,	,	PUNCT
cana-4842	75	9	kim	kim	PROPN
cana-4842	75	10	and	and	CCONJ
cana-4842	75	11	shon	shon	PROPN
cana-4842	75	12	[	[	X
cana-4842	75	13	12	12	NUM
cana-4842	75	14	]	]	PUNCT
cana-4842	75	15	addressed	address	VERB
cana-4842	75	16	the	the	DET
cana-4842	75	17	problem	problem	NOUN
cana-4842	75	18	of	of	ADP
cana-4842	75	19	finding	find	VERB
cana-4842	75	20	behavioral	behavioral	ADJ
cana-4842	75	21	anomaly	anomaly	NOUN
cana-4842	75	22	in	in	ADP
cana-4842	75	23	the	the	DET
cana-4842	75	24	patterns	pattern	NOUN
cana-4842	75	25	of	of	ADP
cana-4842	75	26	smart	smart	ADJ
cana-4842	75	27	manufacturing	manufacturing	NOUN
cana-4842	75	28	systems	system	NOUN
cana-4842	75	29	denoted	denote	VERB
cana-4842	75	30	by	by	ADP
cana-4842	75	31	breakthroughs	breakthrough	NOUN
cana-4842	75	32	in	in	ADP
cana-4842	75	33	automated	automate	VERB
cana-4842	75	34	industrial	industrial	ADJ
cana-4842	75	35	operations	operation	NOUN
cana-4842	75	36	.	.	PUNCT
cana-4842	76	1	veena	veena	PROPN
cana-4842	76	2	and	and	CCONJ
cana-4842	76	3	brahmananda	brahmananda	NOUN
cana-4842	76	4	[	[	X
cana-4842	76	5	13	13	NUM
cana-4842	76	6	]	]	PUNCT
cana-4842	76	7	addressed	address	VERB
cana-4842	76	8	the	the	DET
cana-4842	76	9	problem	problem	NOUN
cana-4842	76	10	of	of	ADP
cana-4842	76	11	apt	apt	ADJ
cana-4842	76	12	identification	identification	NOUN
cana-4842	76	13	in	in	ADP
cana-4842	76	14	high	high	ADJ
cana-4842	76	15	-	-	PUNCT
cana-4842	76	16	volume	volume	NOUN
cana-4842	76	17	traffic	traffic	NOUN
cana-4842	76	18	through	through	ADP
cana-4842	76	19	designing	design	VERB
cana-4842	76	20	an	an	DET
cana-4842	76	21	efficient	efficient	ADJ
cana-4842	76	22	model	model	NOUN
cana-4842	76	23	for	for	ADP
cana-4842	76	24	eavesdropping	eavesdropping	NOUN
cana-4842	76	25	,	,	PUNCT
cana-4842	76	26	further	far	ADV
cana-4842	76	27	emphasizing	emphasize	VERB
cana-4842	76	28	the	the	DET
cana-4842	76	29	worth	worth	NOUN
cana-4842	76	30	of	of	ADP
cana-4842	76	31	high	high	ADJ
cana-4842	76	32	-	-	PUNCT
cana-4842	76	33	throughput	throughput	NOUN
cana-4842	76	34	capabilities	capability	NOUN
cana-4842	76	35	to	to	ADP
cana-4842	76	36	apt	apt	ADJ
cana-4842	76	37	identification	identification	NOUN
cana-4842	76	38	.	.	PUNCT
cana-4842	77	1	dhanaraj	dhanaraj	VERB
cana-4842	77	2	et	et	PROPN
cana-4842	77	3	al	al	PROPN
cana-4842	77	4	.	.	PUNCT
cana-4842	78	1	[	[	X
cana-4842	78	2	14	14	NUM
cana-4842	78	3	]	]	PUNCT
cana-4842	78	4	contribute	contribute	VERB
cana-4842	78	5	by	by	ADP
cana-4842	78	6	using	use	VERB
cana-4842	78	7	the	the	DET
cana-4842	78	8	use	use	NOUN
cana-4842	78	9	of	of	ADP
cana-4842	78	10	mmodpaddrl	mmodpaddrl	NOUN
cana-4842	78	11	,	,	PUNCT
cana-4842	78	12	a	a	DET
cana-4842	78	13	system	system	NOUN
cana-4842	78	14	that	that	PRON
cana-4842	78	15	enlists	enlist	VERB
cana-4842	78	16	deep	deep	ADJ
cana-4842	78	17	reinforcement	reinforcement	NOUN
cana-4842	78	18	learning	learning	NOUN
cana-4842	78	19	to	to	PART
cana-4842	78	20	work	work	VERB
cana-4842	78	21	on	on	ADP
cana-4842	78	22	anomaly	anomaly	NOUN
cana-4842	78	23	detection	detection	NOUN
cana-4842	78	24	in	in	ADP
cana-4842	78	25	zero	zero	NUM
cana-4842	78	26	-	-	PUNCT
cana-4842	78	27	trust	trust	NOUN
cana-4842	78	28	security	security	NOUN
cana-4842	78	29	networks	network	NOUN
cana-4842	78	30	.	.	PUNCT
cana-4842	79	1	the	the	DET
cana-4842	79	2	work	work	NOUN
cana-4842	79	3	lays	lay	VERB
cana-4842	79	4	emphasis	emphasis	NOUN
cana-4842	79	5	on	on	ADP
cana-4842	79	6	the	the	DET
cana-4842	79	7	role	role	NOUN
cana-4842	79	8	of	of	ADP
cana-4842	79	9	reinforcement	reinforcement	NOUN
cana-4842	79	10	learning	learning	NOUN
cana-4842	79	11	in	in	ADP
cana-4842	79	12	adaptive	adaptive	ADJ
cana-4842	79	13	response	response	NOUN
cana-4842	79	14	towards	towards	ADP
cana-4842	79	15	threats	threat	NOUN
cana-4842	79	16	particularly	particularly	ADV
cana-4842	79	17	in	in	ADP
cana-4842	79	18	trust	trust	NOUN
cana-4842	79	19	-	-	PUNCT
cana-4842	79	20	sensitive	sensitive	ADJ
cana-4842	79	21	environments	environment	NOUN
cana-4842	79	22	.	.	PUNCT
cana-4842	80	1	salman	salman	PROPN
cana-4842	80	2	et	et	PROPN
cana-4842	80	3	al	al	PROPN
cana-4842	80	4	.	.	PUNCT
cana-4842	81	1	[	[	X
cana-4842	81	2	15	15	NUM
cana-4842	81	3	]	]	PUNCT
cana-4842	81	4	also	also	ADV
cana-4842	81	5	utilized	utilize	VERB
cana-4842	81	6	adversarial	adversarial	ADJ
cana-4842	81	7	generative	generative	ADJ
cana-4842	81	8	techniques	technique	NOUN
cana-4842	81	9	for	for	ADP
cana-4842	81	10	recovering	recover	VERB
cana-4842	81	11	mutated	mutate	VERB
cana-4842	81	12	traffic	traffic	NOUN
cana-4842	81	13	by	by	ADP
cana-4842	81	14	developing	develop	VERB
cana-4842	81	15	new	new	ADJ
cana-4842	81	16	areas	area	NOUN
cana-4842	81	17	of	of	ADP
cana-4842	81	18	resilience	resilience	NOUN
cana-4842	81	19	against	against	ADP
cana-4842	81	20	modified	modify	VERB
cana-4842	81	21	or	or	CCONJ
cana-4842	81	22	evolving	evolve	VERB
cana-4842	81	23	attack	attack	NOUN
cana-4842	81	24	patterns	pattern	NOUN
cana-4842	81	25	.	.	PUNCT
cana-4842	82	1	the	the	DET
cana-4842	82	2	work	work	NOUN
cana-4842	82	3	by	by	ADP
cana-4842	82	4	arazzi	arazzi	PROPN
cana-4842	82	5	et	et	PROPN
cana-4842	82	6	al	al	PROPN
cana-4842	82	7	.	.	PUNCT
cana-4842	83	1	[	[	X
cana-4842	83	2	16	16	NUM
cana-4842	83	3	]	]	PUNCT
cana-4842	83	4	in	in	ADP
cana-4842	83	5	detecting	detect	VERB
cana-4842	83	6	privacy	privacy	NOUN
cana-4842	83	7	-	-	PUNCT
cana-4842	83	8	preserving	preserve	VERB
cana-4842	83	9	anomaly	anomaly	NOUN
cana-4842	83	10	detection	detection	NOUN
cana-4842	83	11	through	through	ADP
cana-4842	83	12	federated	federated	ADJ
cana-4842	83	13	learning	learning	NOUN
cana-4842	83	14	and	and	CCONJ
cana-4842	83	15	homomorphic	homomorphic	ADJ
cana-4842	83	16	encryption	encryption	NOUN
cana-4842	83	17	establishes	establish	VERB
cana-4842	83	18	a	a	DET
cana-4842	83	19	vital	vital	ADJ
cana-4842	83	20	advance	advance	NOUN
cana-4842	83	21	in	in	ADP
cana-4842	83	22	securing	secure	VERB
cana-4842	83	23	decentralized	decentralize	VERB
cana-4842	83	24	iot	iot	NOUN
cana-4842	83	25	applications	application	NOUN
cana-4842	83	26	without	without	ADP
cana-4842	83	27	compromising	compromise	VERB
cana-4842	83	28	data	datum	NOUN
cana-4842	83	29	confidentiality	confidentiality	NOUN
cana-4842	83	30	.	.	PUNCT
cana-4842	84	1	kasim	kasim	PROPN
cana-4842	85	1	[	[	X
cana-4842	85	2	17	17	NUM
cana-4842	85	3	]	]	PUNCT
cana-4842	85	4	introduced	introduce	VERB
cana-4842	85	5	a	a	DET
cana-4842	85	6	hybrid	hybrid	ADJ
cana-4842	85	7	model	model	NOUN
cana-4842	85	8	specifically	specifically	ADV
cana-4842	85	9	targeting	target	VERB
cana-4842	85	10	dns	dns	NOUN
cana-4842	85	11	-	-	PUNCT
cana-4842	85	12	over	over	ADP
cana-4842	85	13	-	-	PUNCT
cana-4842	85	14	http	http	NOUN
cana-4842	85	15	traffic	traffic	NOUN
cana-4842	85	16	to	to	PART
cana-4842	85	17	defend	defend	VERB
cana-4842	85	18	against	against	ADP
cana-4842	85	19	dns	dns	NOUN
cana-4842	85	20	attacks	attack	NOUN
cana-4842	85	21	,	,	PUNCT
cana-4842	85	22	pointing	point	VERB
cana-4842	85	23	out	out	ADP
cana-4842	85	24	the	the	DET
cana-4842	85	25	importance	importance	NOUN
cana-4842	85	26	of	of	ADP
cana-4842	85	27	multi	multi	ADJ
cana-4842	85	28	-	-	ADJ
cana-4842	85	29	layered	layered	ADJ
cana-4842	85	30	protection	protection	NOUN
cana-4842	85	31	in	in	ADP
cana-4842	85	32	traffic	traffic	NOUN
cana-4842	85	33	flows	flow	NOUN
cana-4842	85	34	vulnerable	vulnerable	ADJ
cana-4842	85	35	to	to	ADP
cana-4842	85	36	protocol	protocol	NOUN
cana-4842	85	37	exploitation	exploitation	NOUN
cana-4842	85	38	.	.	PUNCT
cana-4842	86	1	iliyasu	iliyasu	PROPN
cana-4842	86	2	and	and	CCONJ
cana-4842	86	3	deng	deng	PROPN
cana-4842	87	1	[	[	X
cana-4842	87	2	18	18	NUM
cana-4842	87	3	]	]	X
cana-4842	87	4	propose	propose	VERB
cana-4842	87	5	a	a	DET
cana-4842	87	6	n	n	ADV
cana-4842	87	7	-	-	PUNCT
cana-4842	87	8	gan	gin	VERB
cana-4842	87	9	,	,	PUNCT
cana-4842	87	10	an	an	DET
cana-4842	87	11	approach	approach	NOUN
cana-4842	87	12	based	base	VERB
cana-4842	87	13	on	on	ADP
cana-4842	87	14	generative	generative	ADJ
cana-4842	87	15	adversarial	adversarial	ADJ
cana-4842	87	16	networks	network	NOUN
cana-4842	87	17	,	,	PUNCT
cana-4842	87	18	to	to	PART
cana-4842	87	19	explain	explain	VERB
cana-4842	87	20	the	the	DET
cana-4842	87	21	efficiency	efficiency	NOUN
cana-4842	87	22	of	of	ADP
cana-4842	87	23	gans	gan	NOUN
cana-4842	87	24	in	in	ADP
cana-4842	87	25	simulating	simulate	VERB
cana-4842	87	26	benign	benign	ADJ
cana-4842	87	27	and	and	CCONJ
cana-4842	87	28	malicious	malicious	ADJ
cana-4842	87	29	traffic	traffic	NOUN
cana-4842	87	30	for	for	ADP
cana-4842	87	31	robust	robust	ADJ
cana-4842	87	32	training	training	NOUN
cana-4842	87	33	datasets	dataset	NOUN
cana-4842	87	34	in	in	ADP
cana-4842	87	35	anomaly	anomaly	NOUN
cana-4842	87	36	detection	detection	NOUN
cana-4842	87	37	.	.	PUNCT
cana-4842	88	1	darla	darla	PROPN
cana-4842	88	2	and	and	CCONJ
cana-4842	88	3	naveena	naveena	NOUN
cana-4842	88	4	[	[	X
cana-4842	88	5	19	19	NUM
cana-4842	88	6	]	]	PUNCT
cana-4842	88	7	center	center	NOUN
cana-4842	88	8	around	around	ADP
cana-4842	88	9	wireless	wireless	ADJ
cana-4842	88	10	sensor	sensor	NOUN
cana-4842	88	11	networks	network	NOUN
cana-4842	88	12	with	with	ADP
cana-4842	88	13	their	their	PRON
cana-4842	88	14	adaptive	adaptive	ADJ
cana-4842	88	15	spiral	spiral	ADJ
cana-4842	88	16	seagull	seagull	NOUN
cana-4842	88	17	optimizer	optimizer	NOUN
cana-4842	88	18	,	,	PUNCT
cana-4842	88	19	where	where	SCONJ
cana-4842	88	20	nature	nature	NOUN
cana-4842	88	21	-	-	PUNCT
cana-4842	88	22	inspired	inspire	VERB
cana-4842	88	23	algorithms	algorithm	NOUN
cana-4842	88	24	can	can	AUX
cana-4842	88	25	be	be	AUX
cana-4842	88	26	effectively	effectively	ADV
cana-4842	88	27	applied	apply	VERB
cana-4842	88	28	in	in	ADP
cana-4842	88	29	securing	secure	VERB
cana-4842	88	30	low	low	ADJ
cana-4842	88	31	-	-	PUNCT
cana-4842	88	32	power	power	NOUN
cana-4842	88	33	,	,	PUNCT
cana-4842	88	34	high	high	ADJ
cana-4842	88	35	-	-	PUNCT
cana-4842	88	36	risk	risk	NOUN
cana-4842	88	37	environments	environment	NOUN
cana-4842	88	38	.	.	PUNCT
cana-4842	89	1	deep	deep	ADJ
cana-4842	89	2	learning	learning	NOUN
cana-4842	89	3	is	be	AUX
cana-4842	89	4	able	able	ADJ
cana-4842	89	5	to	to	PART
cana-4842	89	6	enhance	enhance	VERB
cana-4842	89	7	the	the	DET
cana-4842	89	8	effectiveness	effectiveness	NOUN
cana-4842	89	9	of	of	ADP
cana-4842	89	10	distributed	distribute	VERB
cana-4842	89	11	denial	denial	NOUN
cana-4842	89	12	of	of	ADP
cana-4842	89	13	service	service	NOUN
cana-4842	89	14	(	(	PUNCT
cana-4842	89	15	ddos	ddo	NOUN
cana-4842	89	16	)	)	PUNCT
cana-4842	89	17	attacks	attack	NOUN
cana-4842	89	18	detection	detection	NOUN
cana-4842	89	19	,	,	PUNCT
cana-4842	89	20	as	as	ADP
cana-4842	89	21	ahuja	ahuja	PROPN
cana-4842	89	22	et	et	PROPN
cana-4842	89	23	al	al	PROPN
cana-4842	89	24	.	.	PUNCT
cana-4842	90	1	[	[	X
cana-4842	90	2	20	20	NUM
cana-4842	90	3	]	]	PUNCT
cana-4842	90	4	do	do	VERB
cana-4842	90	5	for	for	ADP
cana-4842	90	6	the	the	DET
cana-4842	90	7	field	field	NOUN
cana-4842	90	8	of	of	ADP
cana-4842	90	9	sdns	sdns	NOUN
cana-4842	90	10	.	.	PUNCT
cana-4842	91	1	from	from	ADP
cana-4842	91	2	table	table	NOUN
cana-4842	91	3	1	1	NUM
cana-4842	91	4	,	,	PUNCT
cana-4842	91	5	as	as	SCONJ
cana-4842	91	6	alangari	alangari	NOUN
cana-4842	91	7	[	[	X
cana-4842	91	8	21	21	NUM
cana-4842	91	9	]	]	PUNCT
cana-4842	91	10	applies	apply	VERB
cana-4842	91	11	unsupervised	unsupervised	ADJ
cana-4842	91	12	machine	machine	NOUN
cana-4842	91	13	learning	learn	VERB
cana-4842	91	14	to	to	PART
cana-4842	91	15	detect	detect	VERB
cana-4842	91	16	anomalous	anomalous	ADJ
cana-4842	91	17	iot	iot	NOUN
cana-4842	91	18	sensors	sensor	NOUN
cana-4842	91	19	in	in	ADP
cana-4842	91	20	iot	iot	ADJ
cana-4842	91	21	environments	environment	NOUN
cana-4842	91	22	,	,	PUNCT
cana-4842	91	23	automated	automate	VERB
cana-4842	91	24	feature	feature	NOUN
cana-4842	91	25	extraction	extraction	NOUN
cana-4842	91	26	shows	show	VERB
cana-4842	91	27	its	its	PRON
cana-4842	91	28	potential	potential	NOUN
cana-4842	91	29	in	in	ADP
cana-4842	91	30	limited	limited	ADJ
cana-4842	91	31	scenarios	scenario	NOUN
cana-4842	91	32	of	of	ADP
cana-4842	91	33	labeled	label	VERB
cana-4842	91	34	data	data	NOUN
cana-4842	91	35	samples	sample	NOUN
cana-4842	91	36	.	.	PUNCT
cana-4842	92	1	class	class	NOUN
cana-4842	92	2	imbalance	imbalance	NOUN
cana-4842	92	3	in	in	ADP
cana-4842	92	4	traffic	traffic	NOUN
cana-4842	92	5	data	datum	NOUN
cana-4842	92	6	is	be	AUX
cana-4842	92	7	addressed	address	VERB
cana-4842	92	8	by	by	ADP
cana-4842	92	9	abbasi	abbasi	PROPN
cana-4842	92	10	et	et	PROPN
cana-4842	92	11	al	al	PROPN
cana-4842	92	12	.	.	PUNCT
cana-4842	93	1	[	[	X
cana-4842	93	2	22	22	NUM
cana-4842	93	3	]	]	PUNCT
cana-4842	93	4	using	use	VERB
cana-4842	93	5	a	a	DET
cana-4842	93	6	bidirectional	bidirectional	ADJ
cana-4842	93	7	gru	gru	NOUN
cana-4842	93	8	model	model	NOUN
cana-4842	93	9	with	with	ADP
cana-4842	93	10	penalized	penalize	VERB
cana-4842	93	11	cross	cross	NOUN
cana-4842	93	12	-	-	NOUN
cana-4842	93	13	entropy	entropy	NOUN
cana-4842	93	14	to	to	PART
cana-4842	93	15	overcome	overcome	VERB
cana-4842	93	16	the	the	DET
cana-4842	93	17	difficulties	difficulty	NOUN
cana-4842	93	18	associated	associate	VERB
cana-4842	93	19	with	with	ADP
cana-4842	93	20	the	the	DET
cana-4842	93	21	detection	detection	NOUN
cana-4842	93	22	of	of	ADP
cana-4842	93	23	minority	minority	NOUN
cana-4842	93	24	class	class	NOUN
cana-4842	93	25	anomalies	anomaly	NOUN
cana-4842	93	26	.	.	PUNCT
cana-4842	94	1	communications	communication	NOUN
cana-4842	94	2	on	on	ADP
cana-4842	94	3	applied	apply	VERB
cana-4842	94	4	nonlinear	nonlinear	ADJ
cana-4842	94	5	analysis	analysis	NOUN
cana-4842	94	6	issn	issn	NOUN
cana-4842	94	7	:	:	PUNCT
cana-4842	94	8	1074	1074	NUM
cana-4842	94	9	-	-	PUNCT
cana-4842	94	10	133x	133x	NUM
cana-4842	94	11	vol	vol	VERB
cana-4842	94	12	32	32	NUM
cana-4842	94	13	no	no	NOUN
cana-4842	94	14	.	.	PUNCT
cana-4842	95	1	10s	10	NOUN
cana-4842	95	2	(	(	PUNCT
cana-4842	95	3	2025	2025	NUM
cana-4842	95	4	)	)	PUNCT
cana-4842	95	5	473	473	NUM
cana-4842	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	95	7	table	table	NOUN
cana-4842	95	8	1	1	NUM
cana-4842	95	9	.	.	PUNCT
cana-4842	95	10	comparative	comparative	ADJ
cana-4842	95	11	analysis	analysis	NOUN
cana-4842	95	12	of	of	ADP
cana-4842	95	13	existing	exist	VERB
cana-4842	95	14	methods	method	NOUN
cana-4842	95	15	method	method	NOUN
cana-4842	95	16	authors	author	NOUN
cana-4842	95	17	approach	approach	VERB
cana-4842	95	18	key	key	ADJ
cana-4842	95	19	findings	finding	NOUN
cana-4842	95	20	explainable	explainable	ADJ
cana-4842	95	21	svm	svm	NOUN
cana-4842	95	22	for	for	ADP
cana-4842	95	23	encrypted	encrypt	VERB
cana-4842	95	24	traffic	traffic	NOUN
cana-4842	95	25	bayrak	bayrak	NOUN
cana-4842	96	1	[	[	X
cana-4842	96	2	1	1	X
cana-4842	96	3	]	]	X
cana-4842	96	4	explainable	explainable	ADJ
cana-4842	96	5	svm	svm	NOUN
cana-4842	96	6	enhanced	enhance	VERB
cana-4842	96	7	interpretability	interpretability	NOUN
cana-4842	96	8	for	for	ADP
cana-4842	96	9	intrusion	intrusion	NOUN
cana-4842	96	10	detection	detection	NOUN
cana-4842	96	11	in	in	ADP
cana-4842	96	12	uav	uav	PROPN
cana-4842	96	13	networks	network	NOUN
cana-4842	96	14	using	use	VERB
cana-4842	96	15	explainable	explainable	ADJ
cana-4842	96	16	svm	svm	ADJ
cana-4842	96	17	models	model	NOUN
cana-4842	96	18	.	.	PUNCT
cana-4842	97	1	reweight	reweight	VERB
cana-4842	97	2	-	-	PUNCT
cana-4842	97	3	long	long	ADV
cana-4842	97	4	short	short	ADJ
cana-4842	97	5	term	term	NOUN
cana-4842	97	6	memory	memory	NOUN
cana-4842	97	7	(	(	PUNCT
cana-4842	97	8	rewlstm	rewlstm	PROPN
cana-4842	97	9	)	)	PUNCT
cana-4842	97	10	hou	hou	PROPN
cana-4842	97	11	et	et	PROPN
cana-4842	97	12	al	al	PROPN
cana-4842	97	13	.	.	PUNCT
cana-4842	98	1	[	[	X
cana-4842	98	2	2	2	NUM
cana-4842	98	3	]	]	PUNCT
cana-4842	98	4	packet	packet	NOUN
cana-4842	98	5	headerbased	headerbase	VERB
cana-4842	98	6	lstm	lstm	NOUN
cana-4842	98	7	improved	improve	VERB
cana-4842	98	8	classification	classification	NOUN
cana-4842	98	9	accuracy	accuracy	NOUN
cana-4842	98	10	in	in	ADP
cana-4842	98	11	encrypted	encrypt	VERB
cana-4842	98	12	traffic	traffic	NOUN
cana-4842	98	13	through	through	ADP
cana-4842	98	14	reweighted	reweighte	VERB
cana-4842	98	15	lstm	lstm	NOUN
cana-4842	98	16	focusing	focus	VERB
cana-4842	98	17	on	on	ADP
cana-4842	98	18	headers	header	NOUN
cana-4842	98	19	.	.	PUNCT
cana-4842	99	1	unsupervised	unsupervised	ADJ
cana-4842	99	2	feature	feature	NOUN
cana-4842	99	3	adaptive	adaptive	ADJ
cana-4842	99	4	learning	learn	VERB
cana-4842	99	5	zhou	zhou	PROPN
cana-4842	99	6	et	et	PROPN
cana-4842	99	7	al	al	PROPN
cana-4842	99	8	.	.	PUNCT
cana-4842	100	1	[	[	X
cana-4842	100	2	3	3	NUM
cana-4842	100	3	]	]	X
cana-4842	100	4	unsupervised	unsupervised	ADJ
cana-4842	100	5	feature	feature	NOUN
cana-4842	100	6	learning	learn	VERB
cana-4842	100	7	automatically	automatically	ADV
cana-4842	100	8	extracted	extract	VERB
cana-4842	100	9	malicious	malicious	ADJ
cana-4842	100	10	features	feature	NOUN
cana-4842	100	11	,	,	PUNCT
cana-4842	100	12	improving	improve	VERB
cana-4842	100	13	detection	detection	NOUN
cana-4842	100	14	in	in	ADP
cana-4842	100	15	encrypted	encrypt	VERB
cana-4842	100	16	traffic	traffic	NOUN
cana-4842	100	17	without	without	ADP
cana-4842	100	18	labels	label	NOUN
cana-4842	100	19	.	.	PUNCT
cana-4842	101	1	automl	automl	PROPN
cana-4842	101	2	network	network	PROPN
cana-4842	101	3	traffic	traffic	NOUN
cana-4842	101	4	analyzer	analyzer	NOUN
cana-4842	101	5	papanikolaou	papanikolaou	NOUN
cana-4842	101	6	et	et	PROPN
cana-4842	101	7	al	al	PROPN
cana-4842	101	8	.	.	PUNCT
cana-4842	102	1	[	[	X
cana-4842	102	2	8	8	NUM
cana-4842	102	3	]	]	X
cana-4842	102	4	automl	automl	NOUN
cana-4842	102	5	for	for	ADP
cana-4842	102	6	threat	threat	NOUN
cana-4842	102	7	detection	detection	NOUN
cana-4842	102	8	automated	automate	VERB
cana-4842	102	9	model	model	NOUN
cana-4842	102	10	selection	selection	NOUN
cana-4842	102	11	and	and	CCONJ
cana-4842	102	12	self	self	NOUN
cana-4842	102	13	-	-	PUNCT
cana-4842	102	14	optimization	optimization	NOUN
cana-4842	102	15	enhanced	enhance	VERB
cana-4842	102	16	threat	threat	NOUN
cana-4842	102	17	detection	detection	NOUN
cana-4842	102	18	adaptability	adaptability	NOUN
cana-4842	102	19	.	.	PUNCT
cana-4842	103	1	statistical	statistical	ADJ
cana-4842	103	2	pattern	pattern	NOUN
cana-4842	103	3	recognition	recognition	NOUN
cana-4842	103	4	for	for	ADP
cana-4842	103	5	doh	doh	PROPN
cana-4842	103	6	traffic	traffic	PROPN
cana-4842	103	7	niktabe	niktabe	PROPN
cana-4842	103	8	et	et	PROPN
cana-4842	103	9	al	al	PROPN
cana-4842	103	10	.	.	PUNCT
cana-4842	104	1	[	[	X
cana-4842	104	2	6	6	NUM
cana-4842	104	3	]	]	X
cana-4842	104	4	statistical	statistical	ADJ
cana-4842	104	5	pattern	pattern	NOUN
cana-4842	104	6	recognition	recognition	NOUN
cana-4842	104	7	achieved	achieve	VERB
cana-4842	104	8	high	high	ADJ
cana-4842	104	9	detection	detection	NOUN
cana-4842	104	10	accuracy	accuracy	NOUN
cana-4842	104	11	in	in	ADP
cana-4842	104	12	dns	dns	PROPN
cana-4842	104	13	-	-	PUNCT
cana-4842	104	14	over	over	ADP
cana-4842	104	15	-	-	PUNCT
cana-4842	104	16	https	https	NOUN
cana-4842	104	17	traffic	traffic	NOUN
cana-4842	104	18	through	through	ADP
cana-4842	104	19	statistical	statistical	ADJ
cana-4842	104	20	profiling	profiling	NOUN
cana-4842	104	21	.	.	PUNCT
cana-4842	105	1	hybrid	hybrid	ADJ
cana-4842	105	2	deep	deep	ADJ
cana-4842	105	3	learning	learning	NOUN
cana-4842	105	4	for	for	ADP
cana-4842	105	5	streaming	stream	VERB
cana-4842	105	6	traffic	traffic	NOUN
cana-4842	105	7	seydali	seydali	PROPN
cana-4842	105	8	et	et	PROPN
cana-4842	105	9	al	al	PROPN
cana-4842	105	10	.	.	PUNCT
cana-4842	106	1	[	[	X
cana-4842	106	2	7	7	NUM
cana-4842	106	3	]	]	X
cana-4842	106	4	hybrid	hybrid	ADJ
cana-4842	106	5	deep	deep	ADJ
cana-4842	106	6	learning	learning	NOUN
cana-4842	106	7	&	&	CCONJ
cana-4842	106	8	big	big	ADJ
cana-4842	106	9	data	datum	NOUN
cana-4842	106	10	scalable	scalable	ADJ
cana-4842	106	11	detection	detection	NOUN
cana-4842	106	12	for	for	ADP
cana-4842	106	13	highthroughput	highthroughput	NOUN
cana-4842	106	14	networks	network	NOUN
cana-4842	106	15	,	,	PUNCT
cana-4842	106	16	demonstrating	demonstrate	VERB
cana-4842	106	17	performance	performance	NOUN
cana-4842	106	18	in	in	ADP
cana-4842	106	19	real	real	ADJ
cana-4842	106	20	-	-	PUNCT
cana-4842	106	21	time	time	NOUN
cana-4842	106	22	settings	setting	NOUN
cana-4842	106	23	.	.	PUNCT
cana-4842	107	1	madesant	madesant	NOUN
cana-4842	107	2	for	for	ADP
cana-4842	107	3	industrial	industrial	ADJ
cana-4842	107	4	malware	malware	NOUN
cana-4842	107	5	jayalaxmi	jayalaxmi	PROPN
cana-4842	107	6	et	et	PROPN
cana-4842	107	7	al	al	PROPN
cana-4842	107	8	.	.	PUNCT
cana-4842	108	1	[	[	X
cana-4842	108	2	9	9	NUM
cana-4842	108	3	]	]	SYM
cana-4842	108	4	domain	domain	NOUN
cana-4842	108	5	-	-	PUNCT
cana-4842	108	6	specific	specific	ADJ
cana-4842	108	7	malware	malware	NOUN
cana-4842	108	8	detection	detection	NOUN
cana-4842	108	9	domain	domain	NOUN
cana-4842	108	10	-	-	PUNCT
cana-4842	108	11	specific	specific	ADJ
cana-4842	108	12	model	model	NOUN
cana-4842	108	13	for	for	ADP
cana-4842	108	14	industrial	industrial	ADJ
cana-4842	108	15	malware	malware	NOUN
cana-4842	108	16	,	,	PUNCT
cana-4842	108	17	showing	show	VERB
cana-4842	108	18	improved	improve	VERB
cana-4842	108	19	anomaly	anomaly	NOUN
cana-4842	108	20	detection	detection	NOUN
cana-4842	108	21	in	in	ADP
cana-4842	108	22	industrial	industrial	ADJ
cana-4842	108	23	traffic	traffic	NOUN
cana-4842	108	24	.	.	PUNCT
cana-4842	109	1	federated	federated	ADJ
cana-4842	109	2	learning	learning	NOUN
cana-4842	109	3	with	with	ADP
cana-4842	109	4	homomorphic	homomorphic	ADJ
cana-4842	109	5	encryption	encryption	NOUN
cana-4842	109	6	arazzi	arazzi	NOUN
cana-4842	109	7	et	et	PROPN
cana-4842	109	8	al	al	PROPN
cana-4842	109	9	.	.	PUNCT
cana-4842	110	1	[	[	X
cana-4842	110	2	16	16	NUM
cana-4842	110	3	]	]	X
cana-4842	110	4	privacy	privacy	NOUN
cana-4842	110	5	-	-	PUNCT
cana-4842	110	6	preserving	preserve	VERB
cana-4842	110	7	federated	federated	ADJ
cana-4842	110	8	learning	learning	NOUN
cana-4842	110	9	enabled	enable	VERB
cana-4842	110	10	anomaly	anomaly	NOUN
cana-4842	110	11	detection	detection	NOUN
cana-4842	110	12	in	in	ADP
cana-4842	110	13	iot	iot	ADJ
cana-4842	110	14	networks	network	NOUN
cana-4842	110	15	without	without	ADP
cana-4842	110	16	compromising	compromise	VERB
cana-4842	110	17	data	datum	NOUN
cana-4842	110	18	privacy	privacy	NOUN
cana-4842	110	19	.	.	PUNCT
cana-4842	111	1	gan	gan	PROPN
cana-4842	111	2	-	-	PUNCT
cana-4842	111	3	based	base	VERB
cana-4842	111	4	anomaly	anomaly	NOUN
cana-4842	111	5	detection	detection	NOUN
cana-4842	111	6	(	(	PUNCT
cana-4842	111	7	n	n	CCONJ
cana-4842	111	8	-	-	PUNCT
cana-4842	111	9	gan	gin	VERB
cana-4842	111	10	)	)	PUNCT
cana-4842	111	11	iliyasu	iliyasu	PROPN
cana-4842	111	12	and	and	CCONJ
cana-4842	111	13	deng	deng	PROPN
cana-4842	112	1	[	[	X
cana-4842	112	2	18	18	NUM
cana-4842	112	3	]	]	PUNCT
cana-4842	112	4	generative	generative	ADJ
cana-4842	112	5	adversarial	adversarial	ADJ
cana-4842	112	6	network	network	NOUN
cana-4842	112	7	generated	generate	VERB
cana-4842	112	8	synthetic	synthetic	ADJ
cana-4842	112	9	anomalies	anomaly	NOUN
cana-4842	112	10	to	to	PART
cana-4842	112	11	enhance	enhance	VERB
cana-4842	112	12	model	model	NOUN
cana-4842	112	13	robustness	robustness	NOUN
cana-4842	112	14	against	against	ADP
cana-4842	112	15	novel	novel	ADJ
cana-4842	112	16	threats	threat	NOUN
cana-4842	112	17	.	.	PUNCT
cana-4842	113	1	hybrid	hybrid	ADJ
cana-4842	113	2	detection	detection	NOUN
cana-4842	113	3	in	in	ADP
cana-4842	113	4	sdn	sdn	PROPN
cana-4842	113	5	for	for	ADP
cana-4842	113	6	ddos	ddos	PROPN
cana-4842	113	7	ahuja	ahuja	PROPN
cana-4842	113	8	et	et	PROPN
cana-4842	113	9	al	al	PROPN
cana-4842	113	10	.	.	PUNCT
cana-4842	114	1	[	[	X
cana-4842	114	2	20	20	NUM
cana-4842	114	3	]	]	X
cana-4842	114	4	deep	deep	ADJ
cana-4842	114	5	learning	learning	NOUN
cana-4842	114	6	for	for	ADP
cana-4842	114	7	sdn	sdn	NOUN
cana-4842	114	8	-	-	PUNCT
cana-4842	114	9	based	base	VERB
cana-4842	114	10	detection	detection	NOUN
cana-4842	114	11	improved	improve	VERB
cana-4842	114	12	accuracy	accuracy	NOUN
cana-4842	114	13	in	in	ADP
cana-4842	114	14	identifying	identify	VERB
cana-4842	114	15	ddos	ddos	NOUN
cana-4842	114	16	attacks	attack	NOUN
cana-4842	114	17	within	within	ADP
cana-4842	114	18	sdn	sdn	NOUN
cana-4842	114	19	environments	environment	NOUN
cana-4842	114	20	using	use	VERB
cana-4842	114	21	deep	deep	ADJ
cana-4842	114	22	learning	learning	NOUN
cana-4842	114	23	.	.	PUNCT
cana-4842	115	1	communications	communication	NOUN
cana-4842	115	2	on	on	ADP
cana-4842	115	3	applied	apply	VERB
cana-4842	115	4	nonlinear	nonlinear	ADJ
cana-4842	115	5	analysis	analysis	NOUN
cana-4842	115	6	issn	issn	NOUN
cana-4842	115	7	:	:	PUNCT
cana-4842	115	8	1074	1074	NUM
cana-4842	115	9	-	-	PUNCT
cana-4842	115	10	133x	133x	NUM
cana-4842	115	11	vol	vol	VERB
cana-4842	115	12	32	32	NUM
cana-4842	115	13	no	no	NOUN
cana-4842	115	14	.	.	PUNCT
cana-4842	116	1	10s	10	NOUN
cana-4842	116	2	(	(	PUNCT
cana-4842	116	3	2025	2025	NUM
cana-4842	116	4	)	)	PUNCT
cana-4842	116	5	474	474	NUM
cana-4842	116	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	116	7	from	from	ADP
cana-4842	116	8	a	a	DET
cana-4842	116	9	holistic	holistic	ADJ
cana-4842	116	10	detection	detection	NOUN
cana-4842	116	11	and	and	CCONJ
cana-4842	116	12	prevention	prevention	NOUN
cana-4842	116	13	point	point	NOUN
cana-4842	116	14	of	of	ADP
cana-4842	116	15	view	view	NOUN
cana-4842	116	16	,	,	PUNCT
cana-4842	116	17	pradeepthi	pradeepthi	NOUN
cana-4842	116	18	and	and	CCONJ
cana-4842	116	19	maheswari	maheswari	PROPN
cana-4842	117	1	[	[	X
cana-4842	117	2	23	23	NUM
cana-4842	117	3	]	]	PUNCT
cana-4842	117	4	propose	propose	VERB
cana-4842	117	5	the	the	DET
cana-4842	117	6	adoption	adoption	NOUN
cana-4842	117	7	of	of	ADP
cana-4842	117	8	a	a	DET
cana-4842	117	9	hybrid	hybrid	NOUN
cana-4842	117	10	classifier	classifier	NOUN
cana-4842	117	11	with	with	ADP
cana-4842	117	12	encryption	encryption	NOUN
cana-4842	117	13	mechanisms	mechanism	NOUN
cana-4842	117	14	for	for	ADP
cana-4842	117	15	providing	provide	VERB
cana-4842	117	16	multi	multi	ADJ
cana-4842	117	17	-	-	ADJ
cana-4842	117	18	layered	layered	ADJ
cana-4842	117	19	defense	defense	NOUN
cana-4842	117	20	strategy	strategy	NOUN
cana-4842	117	21	.	.	PUNCT
cana-4842	118	1	gu	gu	NOUN
cana-4842	118	2	et	et	PROPN
cana-4842	118	3	al	al	PROPN
cana-4842	118	4	.	.	PUNCT
cana-4842	119	1	[	[	X
cana-4842	119	2	24	24	NUM
cana-4842	119	3	]	]	PUNCT
cana-4842	119	4	study	study	VERB
cana-4842	119	5	the	the	DET
cana-4842	119	6	identification	identification	NOUN
cana-4842	119	7	of	of	ADP
cana-4842	119	8	iot	iot	NOUN
cana-4842	119	9	devices	device	NOUN
cana-4842	119	10	using	use	VERB
cana-4842	119	11	traffic	traffic	NOUN
cana-4842	119	12	signatures	signature	NOUN
cana-4842	119	13	,	,	PUNCT
cana-4842	119	14	establishing	establish	VERB
cana-4842	119	15	the	the	DET
cana-4842	119	16	growing	grow	VERB
cana-4842	119	17	need	need	NOUN
cana-4842	119	18	for	for	ADP
cana-4842	119	19	device	device	NOUN
cana-4842	119	20	-	-	PUNCT
cana-4842	119	21	specific	specific	ADJ
cana-4842	119	22	profiling	profiling	NOUN
cana-4842	119	23	in	in	ADP
cana-4842	119	24	connected	connected	ADJ
cana-4842	119	25	environments	environment	NOUN
cana-4842	119	26	.	.	PUNCT
cana-4842	120	1	lastly	lastly	ADV
cana-4842	120	2	,	,	PUNCT
cana-4842	120	3	premkumar	premkumar	PROPN
cana-4842	120	4	et	et	PROPN
cana-4842	120	5	al	al	PROPN
cana-4842	120	6	.	.	PUNCT
cana-4842	121	1	[	[	X
cana-4842	121	2	25	25	NUM
cana-4842	121	3	]	]	PUNCT
cana-4842	121	4	present	present	NOUN
cana-4842	121	5	an	an	DET
cana-4842	121	6	anomaly	anomaly	NOUN
cana-4842	121	7	detection	detection	NOUN
cana-4842	121	8	mechanism	mechanism	NOUN
cana-4842	121	9	for	for	ADP
cana-4842	121	10	wsns	wsns	NOUN
cana-4842	121	11	in	in	ADP
cana-4842	121	12	the	the	DET
cana-4842	121	13	context	context	NOUN
cana-4842	121	14	of	of	ADP
cana-4842	121	15	a	a	DET
cana-4842	121	16	cluster	cluster	NOUN
cana-4842	121	17	-	-	PUNCT
cana-4842	121	18	based	base	VERB
cana-4842	121	19	approach	approach	NOUN
cana-4842	121	20	,	,	PUNCT
cana-4842	121	21	pushing	push	VERB
cana-4842	121	22	towards	towards	ADP
cana-4842	121	23	energy	energy	NOUN
cana-4842	121	24	-	-	PUNCT
cana-4842	121	25	effective	effective	ADJ
cana-4842	121	26	methods	method	NOUN
cana-4842	121	27	that	that	PRON
cana-4842	121	28	become	become	VERB
cana-4842	121	29	of	of	ADP
cana-4842	121	30	paramount	paramount	ADJ
cana-4842	121	31	importance	importance	NOUN
cana-4842	121	32	in	in	ADP
cana-4842	121	33	power	power	NOUN
cana-4842	121	34	-	-	PUNCT
cana-4842	121	35	sensitive	sensitive	ADJ
cana-4842	121	36	applications	application	NOUN
cana-4842	121	37	.	.	PUNCT
cana-4842	122	1	cumulatively	cumulatively	ADV
cana-4842	122	2	,	,	PUNCT
cana-4842	122	3	these	these	DET
cana-4842	122	4	works	work	NOUN
cana-4842	122	5	reflect	reflect	VERB
cana-4842	122	6	a	a	DET
cana-4842	122	7	considerable	considerable	ADJ
cana-4842	122	8	trend	trend	NOUN
cana-4842	122	9	toward	toward	ADP
cana-4842	122	10	explanation	explanation	NOUN
cana-4842	122	11	,	,	PUNCT
cana-4842	122	12	scalability	scalability	NOUN
cana-4842	122	13	,	,	PUNCT
cana-4842	122	14	and	and	CCONJ
cana-4842	122	15	dedicated	dedicated	ADJ
cana-4842	122	16	threat	threat	NOUN
cana-4842	122	17	models	model	NOUN
cana-4842	122	18	in	in	ADP
cana-4842	122	19	the	the	DET
cana-4842	122	20	area	area	NOUN
cana-4842	122	21	of	of	ADP
cana-4842	122	22	anomaly	anomaly	NOUN
cana-4842	122	23	detection	detection	NOUN
cana-4842	122	24	in	in	ADP
cana-4842	122	25	networks	network	NOUN
cana-4842	122	26	,	,	PUNCT
cana-4842	122	27	especially	especially	ADV
cana-4842	122	28	for	for	ADP
cana-4842	122	29	encrypted	encrypt	VERB
cana-4842	122	30	traffic	traffic	NOUN
cana-4842	122	31	.	.	PUNCT
cana-4842	123	1	integration	integration	NOUN
cana-4842	123	2	of	of	ADP
cana-4842	123	3	explainable	explainable	ADJ
cana-4842	123	4	ai	ai	NOUN
cana-4842	123	5	,	,	PUNCT
cana-4842	123	6	as	as	ADP
cana-4842	123	7	in	in	ADP
cana-4842	123	8	bayrak	bayrak	NOUN
cana-4842	123	9	[	[	X
cana-4842	123	10	1	1	X
cana-4842	123	11	]	]	PUNCT
cana-4842	123	12	and	and	CCONJ
cana-4842	123	13	niktabe	niktabe	PROPN
cana-4842	123	14	et	et	PROPN
cana-4842	123	15	al	al	PROPN
cana-4842	123	16	.	.	PUNCT
cana-4842	124	1	[	[	X
cana-4842	124	2	6	6	NUM
cana-4842	124	3	]	]	PUNCT
cana-4842	124	4	,	,	PUNCT
cana-4842	124	5	has	have	AUX
cana-4842	124	6	been	be	AUX
cana-4842	124	7	guiding	guide	VERB
cana-4842	124	8	cybersecurity	cybersecurity	NOUN
cana-4842	124	9	practitioners	practitioner	NOUN
cana-4842	124	10	toward	toward	ADP
cana-4842	124	11	learning	learn	VERB
cana-4842	124	12	insights	insight	NOUN
cana-4842	124	13	from	from	ADP
cana-4842	124	14	model	model	NOUN
cana-4842	124	15	decisions	decision	NOUN
cana-4842	124	16	for	for	ADP
cana-4842	124	17	transparently	transparently	ADV
cana-4842	124	18	implemented	implement	VERB
cana-4842	124	19	detection	detection	NOUN
cana-4842	124	20	strategies	strategy	NOUN
cana-4842	124	21	.	.	PUNCT
cana-4842	125	1	research	research	NOUN
cana-4842	125	2	such	such	ADJ
cana-4842	125	3	as	as	ADP
cana-4842	125	4	that	that	PRON
cana-4842	125	5	of	of	ADP
cana-4842	125	6	zhou	zhou	PROPN
cana-4842	125	7	et	et	PROPN
cana-4842	125	8	al	al	PROPN
cana-4842	125	9	.	.	PUNCT
cana-4842	126	1	[	[	X
cana-4842	126	2	3	3	X
cana-4842	126	3	]	]	PUNCT
cana-4842	126	4	and	and	CCONJ
cana-4842	126	5	alangari	alangari	NOUN
cana-4842	127	1	[	[	X
cana-4842	127	2	21	21	NUM
cana-4842	127	3	]	]	PUNCT
cana-4842	127	4	focuses	focus	VERB
cana-4842	127	5	on	on	ADP
cana-4842	127	6	unsupervised	unsupervised	ADJ
cana-4842	127	7	and	and	CCONJ
cana-4842	127	8	self	self	NOUN
cana-4842	127	9	-	-	PUNCT
cana-4842	127	10	learning	learn	VERB
cana-4842	127	11	methods	method	NOUN
cana-4842	127	12	,	,	PUNCT
cana-4842	127	13	with	with	ADP
cana-4842	127	14	models	model	NOUN
cana-4842	127	15	being	be	AUX
cana-4842	127	16	able	able	ADJ
cana-4842	127	17	to	to	PART
cana-4842	127	18	autonomously	autonomously	ADV
cana-4842	127	19	learn	learn	VERB
cana-4842	127	20	traffic	traffic	NOUN
cana-4842	127	21	patterns	pattern	NOUN
cana-4842	127	22	,	,	PUNCT
cana-4842	127	23	which	which	PRON
cana-4842	127	24	can	can	AUX
cana-4842	127	25	be	be	AUX
cana-4842	127	26	critical	critical	ADJ
cana-4842	127	27	in	in	ADP
cana-4842	127	28	limited	limited	ADJ
cana-4842	127	29	or	or	CCONJ
cana-4842	127	30	imbalanced	imbalanced	ADJ
cana-4842	127	31	data	datum	NOUN
cana-4842	127	32	samples	sample	NOUN
cana-4842	127	33	.	.	PUNCT
cana-4842	128	1	big	big	ADJ
cana-4842	128	2	data	datum	NOUN
cana-4842	128	3	compatibility	compatibility	NOUN
cana-4842	128	4	,	,	PUNCT
cana-4842	128	5	as	as	ADP
cana-4842	128	6	seydali	seydali	X
cana-4842	128	7	et	et	PROPN
cana-4842	128	8	al	al	PROPN
cana-4842	128	9	.	.	PUNCT
cana-4842	129	1	[	[	X
cana-4842	129	2	7	7	X
cana-4842	129	3	]	]	PUNCT
cana-4842	129	4	and	and	CCONJ
cana-4842	129	5	veena	veena	NOUN
cana-4842	129	6	and	and	CCONJ
cana-4842	129	7	brahmananda	brahmananda	NOUN
cana-4842	129	8	[	[	X
cana-4842	129	9	13	13	NUM
cana-4842	129	10	]	]	PUNCT
cana-4842	129	11	pointed	point	VERB
cana-4842	129	12	out	out	ADP
cana-4842	129	13	,	,	PUNCT
cana-4842	129	14	reflects	reflect	VERB
cana-4842	129	15	the	the	DET
cana-4842	129	16	use	use	NOUN
cana-4842	129	17	of	of	ADP
cana-4842	129	18	high	high	ADJ
cana-4842	129	19	-	-	PUNCT
cana-4842	129	20	performance	performance	NOUN
cana-4842	129	21	computing	computing	NOUN
cana-4842	129	22	in	in	ADP
cana-4842	129	23	real	real	ADJ
cana-4842	129	24	-	-	PUNCT
cana-4842	129	25	time	time	NOUN
cana-4842	129	26	anomaly	anomaly	NOUN
cana-4842	129	27	detection	detection	NOUN
cana-4842	129	28	,	,	PUNCT
cana-4842	129	29	especially	especially	ADV
cana-4842	129	30	in	in	ADP
cana-4842	129	31	high	high	ADJ
cana-4842	129	32	-	-	PUNCT
cana-4842	129	33	throughput	throughput	NOUN
cana-4842	129	34	environments	environment	NOUN
cana-4842	129	35	.	.	PUNCT
cana-4842	130	1	work	work	NOUN
cana-4842	130	2	by	by	ADP
cana-4842	130	3	papanikolaou	papanikolaou	NOUN
cana-4842	130	4	et	et	PROPN
cana-4842	130	5	al	al	PROPN
cana-4842	130	6	.	.	PUNCT
cana-4842	131	1	[	[	X
cana-4842	131	2	8	8	NUM
cana-4842	131	3	]	]	PUNCT
cana-4842	131	4	for	for	ADP
cana-4842	131	5	automl	automl	NOUN
cana-4842	131	6	and	and	CCONJ
cana-4842	131	7	work	work	NOUN
cana-4842	131	8	by	by	ADP
cana-4842	131	9	salman	salman	PROPN
cana-4842	131	10	et	et	PROPN
cana-4842	131	11	al	al	PROPN
cana-4842	131	12	.	.	PUNCT
cana-4842	132	1	[	[	X
cana-4842	132	2	15	15	NUM
cana-4842	132	3	]	]	PUNCT
cana-4842	132	4	for	for	ADP
cana-4842	132	5	adversarial	adversarial	ADJ
cana-4842	132	6	learning	learning	NOUN
cana-4842	132	7	present	present	ADJ
cana-4842	132	8	adaptive	adaptive	ADJ
cana-4842	132	9	frameworks	framework	NOUN
cana-4842	132	10	that	that	PRON
cana-4842	132	11	prove	prove	VERB
cana-4842	132	12	quite	quite	ADV
cana-4842	132	13	indispensable	indispensable	ADJ
cana-4842	132	14	in	in	ADP
cana-4842	132	15	these	these	DET
cana-4842	132	16	fast	fast	ADV
cana-4842	132	17	-	-	PUNCT
cana-4842	132	18	evolving	evolve	VERB
cana-4842	132	19	threat	threat	NOUN
cana-4842	132	20	landscapes	landscape	NOUN
cana-4842	132	21	where	where	SCONJ
cana-4842	132	22	traditional	traditional	ADJ
cana-4842	132	23	models	model	NOUN
cana-4842	132	24	may	may	AUX
cana-4842	132	25	trail	trail	VERB
cana-4842	132	26	behind	behind	ADV
cana-4842	132	27	in	in	ADP
cana-4842	132	28	process	process	NOUN
cana-4842	132	29	.	.	PUNCT
cana-4842	133	1	this	this	DET
cana-4842	133	2	set	set	NOUN
cana-4842	133	3	of	of	ADP
cana-4842	133	4	studies	study	NOUN
cana-4842	133	5	also	also	ADV
cana-4842	133	6	suggests	suggest	VERB
cana-4842	133	7	a	a	DET
cana-4842	133	8	strong	strong	ADJ
cana-4842	133	9	trend	trend	NOUN
cana-4842	133	10	in	in	ADP
cana-4842	133	11	customizing	customize	VERB
cana-4842	133	12	algorithms	algorithm	NOUN
cana-4842	133	13	specific	specific	ADJ
cana-4842	133	14	to	to	ADP
cana-4842	133	15	the	the	DET
cana-4842	133	16	problems	problem	NOUN
cana-4842	133	17	of	of	ADP
cana-4842	133	18	the	the	DET
cana-4842	133	19	domain	domain	NOUN
cana-4842	133	20	,	,	PUNCT
cana-4842	133	21	as	as	SCONJ
cana-4842	133	22	is	be	AUX
cana-4842	133	23	highlighted	highlight	VERB
cana-4842	133	24	by	by	ADP
cana-4842	133	25	kim	kim	PROPN
cana-4842	133	26	and	and	CCONJ
cana-4842	133	27	shon	shon	PROPN
cana-4842	134	1	[	[	X
cana-4842	134	2	12	12	NUM
cana-4842	134	3	]	]	PUNCT
cana-4842	134	4	in	in	ADP
cana-4842	134	5	smart	smart	ADJ
cana-4842	134	6	manufacturing	manufacturing	NOUN
cana-4842	134	7	and	and	CCONJ
cana-4842	134	8	cali	cali	VERB
cana-4842	134	9	et	et	PROPN
cana-4842	134	10	al	al	PROPN
cana-4842	134	11	.	.	PUNCT
cana-4842	135	1	[	[	X
cana-4842	135	2	11	11	NUM
cana-4842	135	3	]	]	PUNCT
cana-4842	135	4	in	in	ADP
cana-4842	135	5	cyber	cyber	ADJ
cana-4842	135	6	-	-	PUNCT
cana-4842	135	7	physical	physical	ADJ
cana-4842	135	8	power	power	NOUN
cana-4842	135	9	systems	system	NOUN
cana-4842	135	10	.	.	PUNCT
cana-4842	136	1	reinforcement	reinforcement	NOUN
cana-4842	136	2	learning	learning	NOUN
cana-4842	136	3	models	model	NOUN
cana-4842	136	4	like	like	ADP
cana-4842	136	5	mmodpad	mmodpad	NOUN
cana-4842	136	6	-	-	PUNCT
cana-4842	136	7	drl	drl	PROPN
cana-4842	136	8	,	,	PUNCT
cana-4842	136	9	dhanaraj	dhanaraj	VERB
cana-4842	136	10	et	et	PROPN
cana-4842	136	11	al	al	PROPN
cana-4842	136	12	.	.	PUNCT
cana-4842	137	1	[	[	X
cana-4842	137	2	14	14	NUM
cana-4842	137	3	]	]	PUNCT
cana-4842	137	4	,	,	PUNCT
cana-4842	137	5	demonstrate	demonstrate	VERB
cana-4842	137	6	the	the	DET
cana-4842	137	7	applicability	applicability	NOUN
cana-4842	137	8	of	of	ADP
cana-4842	137	9	deep	deep	ADJ
cana-4842	137	10	learning	learning	NOUN
cana-4842	137	11	methods	method	NOUN
cana-4842	137	12	in	in	ADP
cana-4842	137	13	zero	zero	NUM
cana-4842	137	14	-	-	PUNCT
cana-4842	137	15	trust	trust	NOUN
cana-4842	137	16	environments	environment	NOUN
cana-4842	137	17	characterized	characterize	VERB
cana-4842	137	18	by	by	ADP
cana-4842	137	19	dynamic	dynamic	ADJ
cana-4842	137	20	threat	threat	NOUN
cana-4842	137	21	-	-	PUNCT
cana-4842	137	22	evolution	evolution	NOUN
cana-4842	137	23	and	and	CCONJ
cana-4842	137	24	that	that	PRON
cana-4842	137	25	ought	ought	AUX
cana-4842	137	26	to	to	PART
cana-4842	137	27	represent	represent	VERB
cana-4842	137	28	dynamic	dynamic	ADJ
cana-4842	137	29	threat	threat	NOUN
cana-4842	137	30	models	model	NOUN
cana-4842	137	31	.	.	PUNCT
cana-4842	138	1	the	the	DET
cana-4842	138	2	privacy	privacy	NOUN
cana-4842	138	3	-	-	PUNCT
cana-4842	138	4	preserving	preserve	VERB
cana-4842	138	5	techniques	technique	NOUN
cana-4842	138	6	,	,	PUNCT
cana-4842	138	7	such	such	ADJ
cana-4842	138	8	as	as	ADP
cana-4842	138	9	anomaly	anomaly	NOUN
cana-4842	138	10	detection	detection	NOUN
cana-4842	138	11	that	that	PRON
cana-4842	138	12	federated	federate	VERB
cana-4842	138	13	learning	learning	NOUN
cana-4842	138	14	provides	provide	VERB
cana-4842	138	15	and	and	CCONJ
cana-4842	138	16	offered	offer	VERB
cana-4842	138	17	by	by	ADP
cana-4842	138	18	arazzi	arazzi	PROPN
cana-4842	138	19	et	et	PROPN
cana-4842	138	20	al	al	PROPN
cana-4842	138	21	.	.	PUNCT
cana-4842	139	1	[	[	X
cana-4842	139	2	16	16	NUM
cana-4842	139	3	]	]	PUNCT
cana-4842	139	4	,	,	PUNCT
cana-4842	139	5	can	can	AUX
cana-4842	139	6	be	be	AUX
cana-4842	139	7	used	use	VERB
cana-4842	139	8	to	to	PART
cana-4842	139	9	address	address	VERB
cana-4842	139	10	the	the	DET
cana-4842	139	11	privacy	privacy	NOUN
cana-4842	139	12	concerns	concern	NOUN
cana-4842	139	13	without	without	ADP
cana-4842	139	14	any	any	DET
cana-4842	139	15	loss	loss	NOUN
cana-4842	139	16	in	in	ADP
cana-4842	139	17	detection	detection	NOUN
cana-4842	139	18	accuracy	accuracy	NOUN
cana-4842	139	19	.	.	PUNCT
cana-4842	140	1	papers	paper	NOUN
cana-4842	140	2	presented	present	VERB
cana-4842	140	3	by	by	ADP
cana-4842	140	4	kasim	kasim	PROPN
cana-4842	140	5	[	[	X
cana-4842	140	6	17	17	NUM
cana-4842	140	7	]	]	PUNCT
cana-4842	140	8	and	and	CCONJ
cana-4842	140	9	iliyasu	iliyasu	PROPN
cana-4842	140	10	and	and	CCONJ
cana-4842	140	11	deng	deng	PROPN
cana-4842	141	1	[	[	X
cana-4842	141	2	18	18	NUM
cana-4842	141	3	]	]	PUNCT
cana-4842	141	4	reveal	reveal	VERB
cana-4842	141	5	that	that	SCONJ
cana-4842	141	6	hybrid	hybrid	NOUN
cana-4842	141	7	and	and	CCONJ
cana-4842	141	8	generative	generative	ADJ
cana-4842	141	9	models	model	NOUN
cana-4842	141	10	offer	offer	VERB
cana-4842	141	11	increased	increase	VERB
cana-4842	141	12	resistance	resistance	NOUN
cana-4842	141	13	against	against	ADP
cana-4842	141	14	protocol	protocol	NOUN
cana-4842	141	15	-	-	PUNCT
cana-4842	141	16	specific	specific	ADJ
cana-4842	141	17	attacks	attack	NOUN
cana-4842	141	18	as	as	ADV
cana-4842	141	19	well	well	ADV
cana-4842	141	20	as	as	ADP
cana-4842	141	21	novel	novel	ADJ
cana-4842	141	22	threats	threat	NOUN
cana-4842	141	23	as	as	ADP
cana-4842	141	24	compared	compare	VERB
cana-4842	141	25	to	to	ADP
cana-4842	141	26	traditional	traditional	ADJ
cana-4842	141	27	models	model	NOUN
cana-4842	141	28	.	.	PUNCT
cana-4842	142	1	in	in	ADP
cana-4842	142	2	addition	addition	NOUN
cana-4842	142	3	,	,	PUNCT
cana-4842	142	4	considering	consider	VERB
cana-4842	142	5	the	the	DET
cana-4842	142	6	growing	grow	VERB
cana-4842	142	7	interest	interest	NOUN
cana-4842	142	8	in	in	ADP
cana-4842	142	9	energy	energy	NOUN
cana-4842	142	10	-	-	PUNCT
cana-4842	142	11	efficient	efficient	ADJ
cana-4842	142	12	anomaly	anomaly	NOUN
cana-4842	142	13	detection	detection	NOUN
cana-4842	142	14	in	in	ADP
cana-4842	142	15	wsns	wsns	PROPN
cana-4842	142	16	from	from	ADP
cana-4842	142	17	darla	darla	PROPN
cana-4842	142	18	and	and	CCONJ
cana-4842	142	19	naveena	naveena	NOUN
cana-4842	143	1	[	[	X
cana-4842	143	2	19	19	NUM
cana-4842	143	3	]	]	PUNCT
cana-4842	143	4	and	and	CCONJ
cana-4842	143	5	premkumar	premkumar	PROPN
cana-4842	143	6	et	et	PROPN
cana-4842	143	7	al	al	PROPN
cana-4842	143	8	.	.	PUNCT
cana-4842	144	1	[	[	X
cana-4842	144	2	25	25	NUM
cana-4842	144	3	]	]	PUNCT
cana-4842	144	4	,	,	PUNCT
cana-4842	144	5	most	most	ADJ
cana-4842	144	6	security	security	NOUN
cana-4842	144	7	solutions	solution	NOUN
cana-4842	144	8	designed	design	VERB
cana-4842	144	9	for	for	ADP
cana-4842	144	10	such	such	ADJ
cana-4842	144	11	resource	resource	NOUN
cana-4842	144	12	-	-	PUNCT
cana-4842	144	13	limited	limit	VERB
cana-4842	144	14	environments	environment	NOUN
cana-4842	144	15	consider	consider	VERB
cana-4842	144	16	the	the	DET
cana-4842	144	17	operational	operational	ADJ
cana-4842	144	18	constraints	constraint	NOUN
cana-4842	144	19	of	of	ADP
cana-4842	144	20	such	such	ADJ
cana-4842	144	21	environments	environment	NOUN
cana-4842	144	22	.	.	PUNCT
cana-4842	145	1	such	such	ADJ
cana-4842	145	2	collective	collective	ADJ
cana-4842	145	3	advancements	advancement	NOUN
cana-4842	145	4	mean	mean	VERB
cana-4842	145	5	the	the	DET
cana-4842	145	6	future	future	NOUN
cana-4842	145	7	of	of	ADP
cana-4842	145	8	the	the	DET
cana-4842	145	9	above	above	ADJ
cana-4842	145	10	detection	detection	NOUN
cana-4842	145	11	in	in	ADP
cana-4842	145	12	encrypted	encrypt	VERB
cana-4842	145	13	environments	environment	NOUN
cana-4842	145	14	would	would	AUX
cana-4842	145	15	largely	largely	ADV
cana-4842	145	16	rely	rely	VERB
cana-4842	145	17	on	on	ADP
cana-4842	145	18	adaptable	adaptable	ADJ
cana-4842	145	19	,	,	PUNCT
cana-4842	145	20	explainable	explainable	ADJ
cana-4842	145	21	,	,	PUNCT
cana-4842	145	22	and	and	CCONJ
cana-4842	145	23	scalable	scalable	ADJ
cana-4842	145	24	models	model	NOUN
cana-4842	145	25	operating	operate	VERB
cana-4842	145	26	in	in	ADP
cana-4842	145	27	vast	vast	ADJ
cana-4842	145	28	network	network	NOUN
cana-4842	145	29	contexts	contexts	NOUN
cana-4842	145	30	-	-	PUNCT
cana-4842	145	31	from	from	ADP
cana-4842	145	32	industrial	industrial	ADJ
cana-4842	145	33	iot	iot	NOUN
cana-4842	145	34	to	to	PART
cana-4842	145	35	sdns	sdns	PROPN
cana-4842	145	36	,	,	PUNCT
cana-4842	145	37	wsns	wsns	PROPN
cana-4842	145	38	.	.	PUNCT
cana-4842	146	1	privacy	privacy	NOUN
cana-4842	146	2	-	-	PUNCT
cana-4842	146	3	preserving	preserve	VERB
cana-4842	146	4	techniques	technique	NOUN
cana-4842	146	5	,	,	PUNCT
cana-4842	146	6	as	as	ADP
cana-4842	146	7	in	in	ADP
cana-4842	146	8	arazzi	arazzi	PROPN
cana-4842	146	9	et	et	PROPN
cana-4842	146	10	al	al	PROPN
cana-4842	146	11	.	.	PUNCT
cana-4842	147	1	[	[	X
cana-4842	147	2	16	16	NUM
cana-4842	147	3	]	]	PUNCT
cana-4842	147	4	,	,	PUNCT
cana-4842	147	5	and	and	CCONJ
cana-4842	147	6	adaptive	adaptive	ADJ
cana-4842	147	7	learning	learning	NOUN
cana-4842	147	8	mechanisms	mechanism	NOUN
cana-4842	147	9	,	,	PUNCT
cana-4842	147	10	as	as	ADP
cana-4842	147	11	in	in	ADP
cana-4842	147	12	zhou	zhou	PROPN
cana-4842	147	13	et	et	PROPN
cana-4842	147	14	al	al	PROPN
cana-4842	147	15	.	.	PUNCT
cana-4842	148	1	[	[	X
cana-4842	148	2	3	3	X
cana-4842	148	3	]	]	PUNCT
cana-4842	148	4	and	and	CCONJ
cana-4842	148	5	dhanaraj	dhanaraj	VERB
cana-4842	148	6	et	et	PROPN
cana-4842	148	7	al	al	PROPN
cana-4842	148	8	.	.	PUNCT
cana-4842	149	1	[	[	X
cana-4842	149	2	14	14	NUM
cana-4842	149	3	]	]	PUNCT
cana-4842	149	4	,	,	PUNCT
cana-4842	149	5	will	will	AUX
cana-4842	149	6	be	be	AUX
cana-4842	149	7	instrumental	instrumental	ADJ
cana-4842	149	8	in	in	ADP
cana-4842	149	9	meeting	meet	VERB
cana-4842	149	10	regulatory	regulatory	ADJ
cana-4842	149	11	and	and	CCONJ
cana-4842	149	12	operational	operational	ADJ
cana-4842	149	13	requirements	requirement	NOUN
cana-4842	149	14	.	.	PUNCT
cana-4842	150	1	in	in	ADP
cana-4842	150	2	addition	addition	NOUN
cana-4842	150	3	,	,	PUNCT
cana-4842	150	4	generative	generative	ADJ
cana-4842	150	5	models	model	NOUN
cana-4842	150	6	designed	design	VERB
cana-4842	150	7	to	to	PART
cana-4842	150	8	improve	improve	VERB
cana-4842	150	9	training	training	NOUN
cana-4842	150	10	datasets	dataset	NOUN
cana-4842	150	11	in	in	ADP
cana-4842	150	12	such	such	DET
cana-4842	150	13	a	a	DET
cana-4842	150	14	way	way	NOUN
cana-4842	150	15	that	that	PRON
cana-4842	150	16	model	model	NOUN
cana-4842	150	17	robustness	robustness	NOUN
cana-4842	150	18	is	be	AUX
cana-4842	150	19	enhanced	enhance	VERB
cana-4842	150	20	are	be	AUX
cana-4842	150	21	seen	see	VERB
cana-4842	150	22	in	in	ADP
cana-4842	150	23	iliyasu	iliyasu	PROPN
cana-4842	150	24	and	and	CCONJ
cana-4842	150	25	deng	deng	PROPN
cana-4842	150	26	's	's	PART
cana-4842	150	27	n	n	ADV
cana-4842	150	28	-	-	PUNCT
cana-4842	150	29	gan	gan	NOUN
cana-4842	150	30	[	[	X
cana-4842	150	31	18	18	NUM
cana-4842	150	32	]	]	X
cana-4842	150	33	;	;	PUNCT
cana-4842	150	34	this	this	PRON
cana-4842	150	35	proves	prove	VERB
cana-4842	150	36	to	to	PART
cana-4842	150	37	be	be	AUX
cana-4842	150	38	a	a	DET
cana-4842	150	39	future	future	ADJ
cana-4842	150	40	promising	promising	ADJ
cana-4842	150	41	direction	direction	NOUN
cana-4842	150	42	in	in	ADP
cana-4842	150	43	dealing	deal	VERB
cana-4842	150	44	with	with	ADP
cana-4842	150	45	the	the	DET
cana-4842	150	46	scarcity	scarcity	NOUN
cana-4842	150	47	of	of	ADP
cana-4842	150	48	labeled	label	VERB
cana-4842	150	49	samples	sample	NOUN
cana-4842	150	50	.	.	PUNCT
cana-4842	151	1	these	these	DET
cana-4842	151	2	studies	study	NOUN
cana-4842	151	3	collectively	collectively	ADV
cana-4842	151	4	reinforce	reinforce	VERB
cana-4842	151	5	the	the	DET
cana-4842	151	6	notion	notion	NOUN
cana-4842	151	7	that	that	SCONJ
cana-4842	151	8	multi	multi	ADJ
cana-4842	151	9	-	-	ADJ
cana-4842	151	10	dimensional	dimensional	ADJ
cana-4842	151	11	learning	learning	NOUN
cana-4842	151	12	approaches	approach	NOUN
cana-4842	151	13	integrating	integrate	VERB
cana-4842	151	14	explainability	explainability	NOUN
cana-4842	151	15	,	,	PUNCT
cana-4842	151	16	privacy	privacy	NOUN
cana-4842	151	17	,	,	PUNCT
cana-4842	151	18	adaptability	adaptability	NOUN
cana-4842	151	19	,	,	PUNCT
cana-4842	151	20	and	and	CCONJ
cana-4842	151	21	scalability	scalability	NOUN
cana-4842	151	22	will	will	AUX
cana-4842	151	23	define	define	VERB
cana-4842	151	24	the	the	DET
cana-4842	151	25	next	next	ADJ
cana-4842	151	26	generation	generation	NOUN
cana-4842	151	27	of	of	ADP
cana-4842	151	28	network	network	NOUN
cana-4842	151	29	anomaly	anomaly	NOUN
cana-4842	151	30	detection	detection	NOUN
cana-4842	151	31	models	model	NOUN
cana-4842	151	32	.	.	PUNCT
cana-4842	152	1	communications	communication	NOUN
cana-4842	152	2	on	on	ADP
cana-4842	152	3	applied	apply	VERB
cana-4842	152	4	nonlinear	nonlinear	ADJ
cana-4842	152	5	analysis	analysis	NOUN
cana-4842	152	6	issn	issn	NOUN
cana-4842	152	7	:	:	PUNCT
cana-4842	152	8	1074	1074	NUM
cana-4842	152	9	-	-	PUNCT
cana-4842	152	10	133x	133x	NUM
cana-4842	152	11	vol	vol	VERB
cana-4842	152	12	32	32	NUM
cana-4842	152	13	no	no	NOUN
cana-4842	152	14	.	.	PUNCT
cana-4842	153	1	10s	10	NOUN
cana-4842	153	2	(	(	PUNCT
cana-4842	153	3	2025	2025	NUM
cana-4842	153	4	)	)	PUNCT
cana-4842	153	5	475	475	NUM
cana-4842	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	153	7	3	3	NUM
cana-4842	153	8	.	.	PUNCT
cana-4842	153	9	proposed	propose	VERB
cana-4842	153	10	rate	rate	NOUN
cana-4842	153	11	-	-	PUNCT
cana-4842	153	12	rad	rad	NOUN
cana-4842	153	13	model	model	NOUN
cana-4842	153	14	this	this	DET
cana-4842	153	15	section	section	NOUN
cana-4842	153	16	discusses	discuss	VERB
cana-4842	153	17	the	the	DET
cana-4842	153	18	design	design	NOUN
cana-4842	153	19	of	of	ADP
cana-4842	153	20	an	an	DET
cana-4842	153	21	improved	improved	ADJ
cana-4842	153	22	model	model	NOUN
cana-4842	153	23	with	with	ADP
cana-4842	153	24	integrated	integrated	ADJ
cana-4842	153	25	relational	relational	ADJ
cana-4842	153	26	,	,	PUNCT
cana-4842	153	27	temporal	temporal	ADJ
cana-4842	153	28	,	,	PUNCT
cana-4842	153	29	and	and	CCONJ
cana-4842	153	30	adversarial	adversarial	ADJ
cana-4842	153	31	embedding	embed	VERB
cana-4842	153	32	for	for	ADP
cana-4842	153	33	robust	robust	ADJ
cana-4842	153	34	anomaly	anomaly	NOUN
cana-4842	153	35	detection	detection	NOUN
cana-4842	153	36	in	in	ADP
cana-4842	153	37	encrypted	encrypt	VERB
cana-4842	153	38	network	network	NOUN
cana-4842	153	39	traffic	traffic	NOUN
cana-4842	153	40	sets	set	NOUN
cana-4842	153	41	to	to	PART
cana-4842	153	42	overcome	overcome	VERB
cana-4842	153	43	the	the	DET
cana-4842	153	44	low	low	ADJ
cana-4842	153	45	efficiency	efficiency	NOUN
cana-4842	153	46	&	&	CCONJ
cana-4842	153	47	high	high	ADJ
cana-4842	153	48	complexity	complexity	NOUN
cana-4842	153	49	issues	issue	NOUN
cana-4842	153	50	present	present	ADJ
cana-4842	153	51	in	in	ADP
cana-4842	153	52	existing	exist	VERB
cana-4842	153	53	deep	deep	ADJ
cana-4842	153	54	learning	learning	NOUN
cana-4842	153	55	methods	method	NOUN
cana-4842	153	56	.	.	PUNCT
cana-4842	154	1	in	in	ADP
cana-4842	154	2	the	the	DET
cana-4842	154	3	first	first	ADJ
cana-4842	154	4	version	version	NOUN
cana-4842	154	5	,	,	PUNCT
cana-4842	154	6	as	as	SCONJ
cana-4842	154	7	illustrated	illustrate	VERB
cana-4842	154	8	in	in	ADP
cana-4842	154	9	figure	figure	NOUN
cana-4842	154	10	1	1	NUM
cana-4842	154	11	,	,	PUNCT
cana-4842	154	12	the	the	DET
cana-4842	154	13	proposed	propose	VERB
cana-4842	154	14	model	model	NOUN
cana-4842	154	15	encompasses	encompass	VERB
cana-4842	154	16	several	several	ADJ
cana-4842	154	17	state	state	NOUN
cana-4842	154	18	-	-	PUNCT
cana-4842	154	19	of	of	ADP
cana-4842	154	20	-	-	PUNCT
cana-4842	154	21	the	the	DET
cana-4842	154	22	-	-	PUNCT
cana-4842	154	23	art	art	NOUN
cana-4842	154	24	techniques	technique	NOUN
cana-4842	154	25	in	in	ADP
cana-4842	154	26	a	a	DET
cana-4842	154	27	move	move	NOUN
cana-4842	154	28	to	to	PART
cana-4842	154	29	address	address	VERB
cana-4842	154	30	the	the	DET
cana-4842	154	31	complexity	complexity	NOUN
cana-4842	154	32	of	of	ADP
cana-4842	154	33	anomaly	anomaly	NOUN
cana-4842	154	34	detection	detection	NOUN
cana-4842	154	35	with	with	ADP
cana-4842	154	36	encrypted	encrypt	VERB
cana-4842	154	37	network	network	NOUN
cana-4842	154	38	traffic	traffic	NOUN
cana-4842	154	39	and	and	CCONJ
cana-4842	154	40	then	then	ADV
cana-4842	154	41	focuses	focus	VERB
cana-4842	154	42	on	on	ADP
cana-4842	154	43	relational	relational	ADJ
cana-4842	154	44	,	,	PUNCT
cana-4842	154	45	temporal	temporal	ADJ
cana-4842	154	46	,	,	PUNCT
cana-4842	154	47	and	and	CCONJ
cana-4842	154	48	adversarial	adversarial	ADJ
cana-4842	154	49	dimensions	dimension	NOUN
cana-4842	154	50	for	for	ADP
cana-4842	154	51	capturing	capture	VERB
cana-4842	154	52	both	both	DET
cana-4842	154	53	structural	structural	ADJ
cana-4842	154	54	and	and	CCONJ
cana-4842	154	55	sequential	sequential	ADJ
cana-4842	154	56	patterns	pattern	NOUN
cana-4842	154	57	.	.	PUNCT
cana-4842	155	1	these	these	PRON
cana-4842	155	2	should	should	AUX
cana-4842	155	3	include	include	VERB
cana-4842	155	4	a	a	DET
cana-4842	155	5	graph	graph	NOUN
cana-4842	155	6	model	model	NOUN
cana-4842	155	7	based	base	VERB
cana-4842	155	8	on	on	ADP
cana-4842	155	9	graphsage	graphsage	NOUN
cana-4842	155	10	for	for	ADP
cana-4842	155	11	relational	relational	ADJ
cana-4842	155	12	embeddings	embedding	NOUN
cana-4842	155	13	,	,	PUNCT
cana-4842	155	14	self	self	NOUN
cana-4842	155	15	-	-	PUNCT
cana-4842	155	16	supervised	supervise	VERB
cana-4842	155	17	feature	feature	NOUN
cana-4842	155	18	representation	representation	NOUN
cana-4842	155	19	with	with	ADP
cana-4842	155	20	simclr	simclr	NOUN
cana-4842	155	21	,	,	PUNCT
cana-4842	155	22	long	long	ADJ
cana-4842	155	23	-	-	PUNCT
cana-4842	155	24	term	term	NOUN
cana-4842	155	25	dependencies	dependency	NOUN
cana-4842	155	26	leveraging	leverage	VERB
cana-4842	155	27	the	the	DET
cana-4842	155	28	temporal	temporal	ADJ
cana-4842	155	29	convolutional	convolutional	ADJ
cana-4842	155	30	transformer	transformer	NOUN
cana-4842	155	31	,	,	PUNCT
cana-4842	155	32	adversarial	adversarial	ADJ
cana-4842	155	33	training	training	NOUN
cana-4842	155	34	using	use	VERB
cana-4842	155	35	cyclegan	cyclegan	NOUN
cana-4842	155	36	,	,	PUNCT
cana-4842	155	37	anomaly	anomaly	NOUN
cana-4842	155	38	scoring	score	VERB
cana-4842	155	39	with	with	ADP
cana-4842	155	40	an	an	DET
cana-4842	155	41	xgboost	xgboost	ADV
cana-4842	155	42	-	-	PUNCT
cana-4842	155	43	lstm	lstm	ADJ
cana-4842	155	44	ensemble	ensemble	ADJ
cana-4842	155	45	,	,	PUNCT
cana-4842	155	46	and	and	CCONJ
cana-4842	155	47	causal	causal	ADJ
cana-4842	155	48	inference	inference	NOUN
cana-4842	155	49	with	with	ADP
cana-4842	155	50	structural	structural	ADJ
cana-4842	155	51	equation	equation	NOUN
cana-4842	155	52	modeling	modeling	NOUN
cana-4842	155	53	.	.	PUNCT
cana-4842	156	1	the	the	DET
cana-4842	156	2	final	final	ADJ
cana-4842	156	3	anomaly	anomaly	NOUN
cana-4842	156	4	score	score	NOUN
cana-4842	156	5	is	be	AUX
cana-4842	156	6	calculated	calculate	VERB
cana-4842	156	7	as	as	ADP
cana-4842	156	8	a	a	DET
cana-4842	156	9	combination	combination	NOUN
cana-4842	156	10	of	of	ADP
cana-4842	156	11	all	all	DET
cana-4842	156	12	such	such	ADJ
cana-4842	156	13	methods	method	NOUN
cana-4842	156	14	that	that	PRON
cana-4842	156	15	have	have	AUX
cana-4842	156	16	been	be	AUX
cana-4842	156	17	calibrated	calibrate	VERB
cana-4842	156	18	and	and	CCONJ
cana-4842	156	19	fine	fine	ADV
cana-4842	156	20	-	-	PUNCT
cana-4842	156	21	tuned	tune	VERB
cana-4842	156	22	by	by	ADP
cana-4842	156	23	causal	causal	ADJ
cana-4842	156	24	analysis	analysis	NOUN
cana-4842	156	25	in	in	ADP
cana-4842	156	26	sem	sem	NOUN
cana-4842	156	27	to	to	PART
cana-4842	156	28	give	give	VERB
cana-4842	156	29	interpretable	interpretable	ADJ
cana-4842	156	30	,	,	PUNCT
cana-4842	156	31	actionable	actionable	ADJ
cana-4842	156	32	insights	insight	NOUN
cana-4842	156	33	in	in	ADP
cana-4842	156	34	the	the	DET
cana-4842	156	35	process	process	NOUN
cana-4842	156	36	.	.	PUNCT
cana-4842	157	1	graphsage	graphsage	NOUN
cana-4842	157	2	works	work	VERB
cana-4842	157	3	on	on	ADP
cana-4842	157	4	graph	graph	NOUN
cana-4842	157	5	-	-	PUNCT
cana-4842	157	6	structured	structure	VERB
cana-4842	157	7	data	datum	NOUN
cana-4842	157	8	where	where	SCONJ
cana-4842	157	9	network	network	NOUN
cana-4842	157	10	entities	entity	NOUN
cana-4842	157	11	,	,	PUNCT
cana-4842	157	12	such	such	ADJ
cana-4842	157	13	as	as	ADP
cana-4842	157	14	ip	ip	DET
cana-4842	157	15	addresses	address	NOUN
cana-4842	157	16	and	and	CCONJ
cana-4842	157	17	ports	port	NOUN
cana-4842	157	18	,	,	PUNCT
cana-4842	157	19	are	be	AUX
cana-4842	157	20	treated	treat	VERB
cana-4842	157	21	as	as	ADP
cana-4842	157	22	nodes	node	NOUN
cana-4842	157	23	,	,	PUNCT
cana-4842	157	24	and	and	CCONJ
cana-4842	157	25	edges	edge	NOUN
cana-4842	157	26	denote	denote	VERB
cana-4842	157	27	the	the	DET
cana-4842	157	28	connections	connection	NOUN
cana-4842	157	29	.	.	PUNCT
cana-4842	158	1	given	give	VERB
cana-4842	158	2	a	a	DET
cana-4842	158	3	node	node	NOUN
cana-4842	158	4	'	'	PUNCT
cana-4842	158	5	v	v	NOUN
cana-4842	158	6	'	'	PUNCT
cana-4842	158	7	,	,	PUNCT
cana-4842	158	8	graphsage	graphsage	NOUN
cana-4842	158	9	samples	sample	VERB
cana-4842	158	10	a	a	DET
cana-4842	158	11	fixed	fix	VERB
cana-4842	158	12	-	-	PUNCT
cana-4842	158	13	size	size	NOUN
cana-4842	158	14	neighborhood	neighborhood	NOUN
cana-4842	158	15	n(v	n(v	PROPN
cana-4842	158	16	)	)	PUNCT
cana-4842	158	17	and	and	CCONJ
cana-4842	158	18	aggregates	aggregate	VERB
cana-4842	158	19	neighbor	neighbor	NOUN
cana-4842	158	20	embeddings	embedding	NOUN
cana-4842	158	21	to	to	PART
cana-4842	158	22	create	create	VERB
cana-4842	158	23	an	an	DET
cana-4842	158	24	updated	update	VERB
cana-4842	158	25	embedding	embed	VERB
cana-4842	158	26	hv((l+1	hv((l+1	NOUN
cana-4842	158	27	)	)	PUNCT
cana-4842	158	28	)	)	PUNCT
cana-4842	158	29	at	at	ADP
cana-4842	158	30	layer	layer	NOUN
cana-4842	158	31	(	(	PUNCT
cana-4842	158	32	l+1	l+1	X
cana-4842	158	33	)	)	PUNCT
cana-4842	158	34	via	via	ADP
cana-4842	158	35	equation	equation	NOUN
cana-4842	158	36	1	1	NUM
cana-4842	158	37	,	,	PUNCT
cana-4842	158	38	ℎ𝑣((𝑙	ℎ𝑣((𝑙	ADV
cana-4842	158	39	+	+	NOUN
cana-4842	158	40	1	1	NUM
cana-4842	158	41	)	)	PUNCT
cana-4842	158	42	)	)	PUNCT
cana-4842	159	1	=	=	SYM
cana-4842	159	2	𝜎(𝑊(𝑙	𝜎(𝑊(𝑙	NOUN
cana-4842	159	3	)	)	PUNCT
cana-4842	159	4	⋅	⋅	PROPN
cana-4842	159	5	𝐴𝐺𝐺𝑅𝐸𝐺𝐴𝑇𝐸	𝐴𝐺𝐺𝑅𝐸𝐺𝐴𝑇𝐸	PROPN
cana-4842	159	6	(	(	PUNCT
cana-4842	159	7	{	{	PUNCT
cana-4842	159	8	ℎ𝑢(𝑙	ℎ𝑢(𝑙	NOUN
cana-4842	159	9	)	)	PUNCT
cana-4842	159	10	  	  	SPACE
cana-4842	159	11	∣	∣	VERB
cana-4842	159	12	 	 	SPACE
cana-4842	159	13	𝑢	𝑢	ADP
cana-4842	159	14	∈	∈	NOUN
cana-4842	159	15	𝑁(𝑣	𝑁(𝑣	NUM
cana-4842	159	16	)	)	PUNCT
cana-4842	159	17	}	}	PUNCT
cana-4842	159	18	)	)	PUNCT
cana-4842	159	19	)	)	PUNCT
cana-4842	159	20	…	…	PUNCT
cana-4842	159	21	(	(	PUNCT
cana-4842	159	22	1	1	X
cana-4842	159	23	)	)	PUNCT
cana-4842	159	24	where	where	SCONJ
cana-4842	159	25	,	,	PUNCT
cana-4842	159	26	σ	σ	PROPN
cana-4842	159	27	is	be	AUX
cana-4842	159	28	an	an	DET
cana-4842	159	29	activation	activation	NOUN
cana-4842	159	30	function(relu	function(relu	PROPN
cana-4842	159	31	)	)	PUNCT
cana-4842	159	32	,	,	PUNCT
cana-4842	159	33	w(l	w(l	PROPN
cana-4842	159	34	)	)	PUNCT
cana-4842	159	35	is	be	AUX
cana-4842	159	36	a	a	DET
cana-4842	159	37	learnable	learnable	ADJ
cana-4842	159	38	weight	weight	NOUN
cana-4842	159	39	matrix	matrix	NOUN
cana-4842	159	40	,	,	PUNCT
cana-4842	159	41	and	and	CCONJ
cana-4842	159	42	aggregate	aggregate	ADJ
cana-4842	159	43	multiples	multiple	NOUN
cana-4842	159	44	and	and	CCONJ
cana-4842	159	45	takes	take	VERB
cana-4842	159	46	the	the	DET
cana-4842	159	47	forms	form	NOUN
cana-4842	159	48	including	include	VERB
cana-4842	159	49	mean	mean	NOUN
cana-4842	159	50	,	,	PUNCT
cana-4842	159	51	max	max	PROPN
cana-4842	159	52	pooling	pooling	NOUN
cana-4842	159	53	,	,	PUNCT
cana-4842	159	54	and	and	CCONJ
cana-4842	159	55	an	an	DET
cana-4842	159	56	lstm	lstm	ADJ
cana-4842	159	57	aggregator	aggregator	NOUN
cana-4842	159	58	to	to	PART
cana-4842	159	59	capture	capture	VERB
cana-4842	159	60	specific	specific	ADJ
cana-4842	159	61	neighborhood	neighborhood	NOUN
cana-4842	159	62	features	feature	NOUN
cana-4842	159	63	.	.	PUNCT
cana-4842	160	1	this	this	DET
cana-4842	160	2	relational	relational	ADJ
cana-4842	160	3	embedding	embed	VERB
cana-4842	160	4	hv((l+1	hv((l+1	NOUN
cana-4842	160	5	)	)	PUNCT
cana-4842	160	6	)	)	PUNCT
cana-4842	160	7	shares	share	VERB
cana-4842	160	8	awareness	awareness	NOUN
cana-4842	160	9	of	of	ADP
cana-4842	160	10	network	network	NOUN
cana-4842	160	11	topology	topology	NOUN
cana-4842	160	12	which	which	PRON
cana-4842	160	13	will	will	AUX
cana-4842	160	14	aid	aid	VERB
cana-4842	160	15	in	in	ADP
cana-4842	160	16	discovering	discover	VERB
cana-4842	160	17	anomalous	anomalous	ADJ
cana-4842	160	18	interactions	interaction	NOUN
cana-4842	160	19	during	during	ADP
cana-4842	160	20	this	this	DET
cana-4842	160	21	process	process	NOUN
cana-4842	160	22	.	.	PUNCT
cana-4842	161	1	sampling	sampling	NOUN
cana-4842	161	2	and	and	CCONJ
cana-4842	161	3	aggregation	aggregation	NOUN
cana-4842	161	4	in	in	ADP
cana-4842	161	5	graphsage	graphsage	NOUN
cana-4842	161	6	provide	provide	VERB
cana-4842	161	7	scalability	scalability	NOUN
cana-4842	161	8	while	while	SCONJ
cana-4842	161	9	preserving	preserve	VERB
cana-4842	161	10	key	key	ADJ
cana-4842	161	11	structure	structure	NOUN
cana-4842	161	12	in	in	ADP
cana-4842	161	13	high	high	ADJ
cana-4842	161	14	throughput	throughput	NOUN
cana-4842	161	15	networks	network	NOUN
cana-4842	161	16	.	.	PUNCT
cana-4842	162	1	iteratively	iteratively	ADV
cana-4842	162	2	next	next	ADV
cana-4842	162	3	,	,	PUNCT
cana-4842	162	4	figure	figure	NOUN
cana-4842	162	5	1	1	NUM
cana-4842	162	6	describes	describe	VERB
cana-4842	162	7	how	how	SCONJ
cana-4842	162	8	simclr	simclr	NOUN
cana-4842	162	9	improves	improve	VERB
cana-4842	162	10	feature	feature	NOUN
cana-4842	162	11	representation	representation	NOUN
cana-4842	162	12	through	through	ADP
cana-4842	162	13	contrastive	contrastive	ADJ
cana-4842	162	14	learning	learning	NOUN
cana-4842	162	15	to	to	PART
cana-4842	162	16	derive	derive	VERB
cana-4842	162	17	embeddings	embedding	NOUN
cana-4842	162	18	given	give	VERB
cana-4842	162	19	that	that	SCONJ
cana-4842	162	20	no	no	DET
cana-4842	162	21	labelled	label	VERB
cana-4842	162	22	data	data	NOUN
cana-4842	162	23	sample	sample	NOUN
cana-4842	162	24	exists	exist	VERB
cana-4842	162	25	.	.	PUNCT
cana-4842	163	1	given	give	VERB
cana-4842	163	2	augmented	augment	VERB
cana-4842	163	3	views	view	NOUN
cana-4842	163	4	zi	zi	PROPN
cana-4842	163	5	and	and	CCONJ
cana-4842	163	6	zj	zj	PROPN
cana-4842	163	7	of	of	ADP
cana-4842	163	8	the	the	DET
cana-4842	163	9	same	same	ADJ
cana-4842	163	10	network	network	NOUN
cana-4842	163	11	sample	sample	NOUN
cana-4842	163	12	,	,	PUNCT
cana-4842	163	13	simclr	simclr	NOUN
cana-4842	163	14	minimizes	minimize	VERB
cana-4842	163	15	contrastive	contrastive	ADJ
cana-4842	163	16	loss	loss	NOUN
cana-4842	163	17	,	,	PUNCT
cana-4842	163	18	lcontrastive	lcontrastive	NOUN
cana-4842	163	19	,	,	PUNCT
cana-4842	163	20	which	which	PRON
cana-4842	163	21	encourages	encourage	VERB
cana-4842	163	22	closer	close	ADV
cana-4842	163	23	embedding	embed	VERB
cana-4842	163	24	alignment	alignment	NOUN
cana-4842	163	25	between	between	ADP
cana-4842	163	26	positive	positive	ADJ
cana-4842	163	27	pairs	pair	NOUN
cana-4842	163	28	via	via	ADP
cana-4842	163	29	equation	equation	NOUN
cana-4842	163	30	2	2	NUM
cana-4842	163	31	,	,	PUNCT
cana-4842	163	32	𝐿𝑐𝑜𝑛𝑡𝑟𝑎𝑠𝑡𝑖𝑣𝑒	𝐿𝑐𝑜𝑛𝑡𝑟𝑎𝑠𝑡𝑖𝑣𝑒	PROPN
cana-4842	163	33	=	=	SYM
cana-4842	163	34	−∑log	−∑log	PROPN
cana-4842	164	1	[	[	PUNCT
cana-4842	164	2	𝑒𝑥	𝑒𝑥	PROPN
cana-4842	164	3	𝑝	𝑝	PROPN
cana-4842	164	4	(	(	PUNCT
cana-4842	164	5	𝑠𝑖𝑚(𝑧𝑖,𝑧𝑗	𝑠𝑖𝑚(𝑧𝑖,𝑧𝑗	PROPN
cana-4842	164	6	)	)	PUNCT
cana-4842	164	7	𝜏	𝜏	NOUN
cana-4842	164	8	)	)	PUNCT
cana-4842	164	9	∑	∑	PROPN
cana-4842	164	10	𝐼[𝑘	𝐼[𝑘	NOUN
cana-4842	164	11	≠	≠	PROPN
cana-4842	164	12	𝑖]𝑒𝑥	𝑖]𝑒𝑥	PROPN
cana-4842	164	13	𝑝	𝑝	PROPN
cana-4842	164	14	(	(	PUNCT
cana-4842	164	15	𝑠𝑖𝑚(𝑧𝑖,𝑧𝑘	𝑠𝑖𝑚(𝑧𝑖,𝑧𝑘	NOUN
cana-4842	164	16	)	)	PUNCT
cana-4842	164	17	𝜏	𝜏	NOUN
cana-4842	164	18	)	)	PUNCT
cana-4842	164	19	2𝑁	2𝑁	NOUN
cana-4842	164	20	𝑘=1	𝑘=1	PUNCT
cana-4842	164	21	]	]	X
cana-4842	164	22	…	…	PUNCT
cana-4842	164	23	(	(	PUNCT
cana-4842	164	24	2)⁡	2)⁡	NUM
cana-4842	164	25	(	(	PUNCT
cana-4842	164	26	𝑖,𝑗	𝑖,𝑗	NOUN
cana-4842	164	27	)	)	PUNCT
cana-4842	164	28	where	where	SCONJ
cana-4842	164	29	,	,	PUNCT
cana-4842	164	30	τ	τ	PROPN
cana-4842	164	31	is	be	AUX
cana-4842	164	32	a	a	DET
cana-4842	164	33	temperature	temperature	NOUN
cana-4842	164	34	parameter	parameter	NOUN
cana-4842	164	35	,	,	PUNCT
cana-4842	164	36	sim(zi	sim(zi	NOUN
cana-4842	164	37	,	,	PUNCT
cana-4842	164	38	zj	zj	PROPN
cana-4842	164	39	)	)	PUNCT
cana-4842	164	40	is	be	AUX
cana-4842	164	41	represented	represent	VERB
cana-4842	164	42	via	via	ADP
cana-4842	164	43	equation	equation	NOUN
cana-4842	164	44	3	3	NUM
cana-4842	164	45	,	,	PUNCT
cana-4842	164	46	𝑠𝑖𝑚(𝑧𝑖	𝑠𝑖𝑚(𝑧𝑖	NOUN
cana-4842	164	47	,	,	PUNCT
cana-4842	164	48	𝑧𝑗	𝑧𝑗	NOUN
cana-4842	164	49	)	)	PUNCT
cana-4842	164	50	=	=	SYM
cana-4842	164	51	(	(	PUNCT
cana-4842	164	52	𝑧𝑖⊤𝑧𝑗	𝑧𝑖⊤𝑧𝑗	NOUN
cana-4842	164	53	)	)	PUNCT
cana-4842	165	1	∥	∥	X
cana-4842	165	2	𝑧𝑖	𝑧𝑖	INTJ
cana-4842	165	3	∥∥	∥∥	INTJ
cana-4842	165	4	𝑧𝑗	𝑧𝑗	ADV
cana-4842	165	5	∥	∥	PUNCT
cana-4842	165	6	…	…	PUNCT
cana-4842	165	7	(	(	PUNCT
cana-4842	165	8	3	3	X
cana-4842	165	9	)	)	PUNCT
cana-4842	165	10	which	which	PRON
cana-4842	165	11	measures	measure	VERB
cana-4842	165	12	cosine	cosine	NOUN
cana-4842	165	13	similarity	similarity	NOUN
cana-4842	165	14	,	,	PUNCT
cana-4842	165	15	and	and	CCONJ
cana-4842	165	16	'	'	PUNCT
cana-4842	165	17	n	n	CCONJ
cana-4842	165	18	'	'	PUNCT
cana-4842	165	19	represents	represent	VERB
cana-4842	165	20	the	the	DET
cana-4842	165	21	batch	batch	NOUN
cana-4842	165	22	sizes	size	NOUN
cana-4842	165	23	.	.	PUNCT
cana-4842	166	1	simclr	simclr	PROPN
cana-4842	166	2	's	's	PART
cana-4842	166	3	self	self	NOUN
cana-4842	166	4	-	-	PUNCT
cana-4842	166	5	supervised	supervise	VERB
cana-4842	166	6	technique	technique	NOUN
cana-4842	166	7	improves	improve	VERB
cana-4842	166	8	model	model	NOUN
cana-4842	166	9	robustness	robustness	NOUN
cana-4842	166	10	using	use	VERB
cana-4842	166	11	fine	fine	ADV
cana-4842	166	12	-	-	PUNCT
cana-4842	166	13	grained	grain	VERB
cana-4842	166	14	extraction	extraction	NOUN
cana-4842	166	15	of	of	ADP
cana-4842	166	16	subtle	subtle	ADJ
cana-4842	166	17	traffic	traffic	NOUN
cana-4842	166	18	patterns	pattern	NOUN
cana-4842	166	19	,	,	PUNCT
cana-4842	166	20	reduces	reduce	VERB
cana-4842	166	21	dependency	dependency	NOUN
cana-4842	166	22	on	on	ADP
cana-4842	166	23	labeled	label	VERB
cana-4842	166	24	data	datum	NOUN
cana-4842	166	25	,	,	PUNCT
cana-4842	166	26	and	and	CCONJ
cana-4842	166	27	improves	improve	VERB
cana-4842	166	28	input	input	NOUN
cana-4842	166	29	embeddings	embedding	NOUN
cana-4842	166	30	for	for	ADP
cana-4842	166	31	further	further	ADJ
cana-4842	166	32	models	model	NOUN
cana-4842	166	33	.	.	PUNCT
cana-4842	167	1	in	in	ADP
cana-4842	167	2	order	order	NOUN
cana-4842	167	3	to	to	PART
cana-4842	167	4	collect	collect	VERB
cana-4842	167	5	long	long	ADJ
cana-4842	167	6	-	-	PUNCT
cana-4842	167	7	term	term	NOUN
cana-4842	167	8	dependencies	dependency	NOUN
cana-4842	167	9	within	within	ADP
cana-4842	167	10	the	the	DET
cana-4842	167	11	sequences	sequence	NOUN
cana-4842	167	12	,	,	PUNCT
cana-4842	167	13	the	the	DET
cana-4842	167	14	temporal	temporal	ADJ
cana-4842	167	15	convolutional	convolutional	ADJ
cana-4842	167	16	transformer	transformer	NOUN
cana-4842	167	17	is	be	AUX
cana-4842	167	18	used	use	VERB
cana-4842	167	19	.	.	PUNCT
cana-4842	168	1	first	first	ADV
cana-4842	168	2	,	,	PUNCT
cana-4842	168	3	tct	tct	PROPN
cana-4842	168	4	applies	apply	VERB
cana-4842	168	5	temporal	temporal	ADJ
cana-4842	168	6	convolutions	convolution	NOUN
cana-4842	168	7	to	to	PART
cana-4842	168	8	identify	identify	VERB
cana-4842	168	9	short	short	ADJ
cana-4842	168	10	-	-	PUNCT
cana-4842	168	11	term	term	NOUN
cana-4842	168	12	dependencies	dependency	NOUN
cana-4842	168	13	.	.	PUNCT
cana-4842	169	1	communications	communication	NOUN
cana-4842	169	2	on	on	ADP
cana-4842	169	3	applied	apply	VERB
cana-4842	169	4	nonlinear	nonlinear	ADJ
cana-4842	169	5	analysis	analysis	NOUN
cana-4842	169	6	issn	issn	NOUN
cana-4842	169	7	:	:	PUNCT
cana-4842	169	8	1074	1074	NUM
cana-4842	169	9	-	-	PUNCT
cana-4842	169	10	133x	133x	NUM
cana-4842	169	11	vol	vol	VERB
cana-4842	169	12	32	32	NUM
cana-4842	169	13	no	no	NOUN
cana-4842	169	14	.	.	PUNCT
cana-4842	170	1	10s	10	NOUN
cana-4842	170	2	(	(	PUNCT
cana-4842	170	3	2025	2025	NUM
cana-4842	170	4	)	)	PUNCT
cana-4842	170	5	476	476	NUM
cana-4842	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	170	7	figure	figure	NOUN
cana-4842	170	8	1	1	NUM
cana-4842	170	9	.	.	PUNCT
cana-4842	170	10	architecture	architecture	NOUN
cana-4842	170	11	of	of	ADP
cana-4842	170	12	the	the	DET
cana-4842	170	13	proposed	propose	VERB
cana-4842	170	14	rate	rate	NOUN
cana-4842	170	15	-	-	PUNCT
cana-4842	170	16	rad	rad	NOUN
cana-4842	170	17	model	model	NOUN
cana-4842	170	18	for	for	ADP
cana-4842	170	19	a	a	DET
cana-4842	170	20	sequence	sequence	NOUN
cana-4842	170	21	{	{	PUNCT
cana-4842	170	22	𝑥𝑡}𝑡	𝑥𝑡}𝑡	PUNCT
cana-4842	170	23	=	=	SYM
cana-4842	170	24	1	1	NUM
cana-4842	170	25	…	…	SYM
cana-4842	170	26	𝑇	𝑇	PROPN
cana-4842	170	27	,	,	PUNCT
cana-4842	170	28	the	the	DET
cana-4842	170	29	output	output	NOUN
cana-4842	170	30	at	at	ADP
cana-4842	170	31	timestamp	timestamp	NOUN
cana-4842	170	32	‘	'	PUNCT
cana-4842	170	33	t	t	NOUN
cana-4842	170	34	’	'	PUNCT
cana-4842	170	35	,	,	PUNCT
cana-4842	170	36	‘	'	PUNCT
cana-4842	170	37	ht	ht	X
cana-4842	170	38	’	'	PUNCT
cana-4842	170	39	,	,	PUNCT
cana-4842	170	40	is	be	AUX
cana-4842	170	41	defined	define	VERB
cana-4842	170	42	via	via	ADP
cana-4842	170	43	equation	equation	NOUN
cana-4842	170	44	4	4	NUM
cana-4842	170	45	,	,	PUNCT
cana-4842	170	46	ℎ𝑡	ℎ𝑡	NOUN
cana-4842	170	47	=	=	PROPN
cana-4842	170	48	∑𝑊𝑖	∑𝑊𝑖	PROPN
cana-4842	170	49	⋅	⋅	PROPN
cana-4842	170	50	𝑥(𝑡	𝑥(𝑡	PROPN
cana-4842	170	51	−	−	PROPN
cana-4842	170	52	𝑖	𝑖	SYM
cana-4842	171	1	+	+	NOUN
cana-4842	171	2	1	1	NUM
cana-4842	171	3	)	)	PUNCT
cana-4842	171	4	+	+	CCONJ
cana-4842	171	5	𝑏	𝑏	PROPN
cana-4842	171	6	𝑘	𝑘	X
cana-4842	171	7	𝑖=1	𝑖=1	PROPN
cana-4842	171	8	…	…	PUNCT
cana-4842	171	9	(	(	PUNCT
cana-4842	171	10	4	4	NUM
cana-4842	171	11	)	)	PUNCT
cana-4842	171	12	where	where	SCONJ
cana-4842	171	13	,	,	PUNCT
cana-4842	171	14	'	'	PUNCT
cana-4842	171	15	k	k	X
cana-4842	171	16	'	'	PUNCT
cana-4842	171	17	is	be	AUX
cana-4842	171	18	the	the	DET
cana-4842	171	19	kernel	kernel	NOUN
cana-4842	171	20	size	size	NOUN
cana-4842	172	1	,	,	PUNCT
cana-4842	172	2	wi	wi	PROPN
cana-4842	172	3	are	be	AUX
cana-4842	172	4	learnable	learnable	ADJ
cana-4842	172	5	convolutional	convolutional	ADJ
cana-4842	172	6	weights	weight	NOUN
cana-4842	172	7	and	and	CCONJ
cana-4842	172	8	'	'	PUNCT
cana-4842	172	9	b	b	NOUN
cana-4842	172	10	'	'	PUNCT
cana-4842	172	11	is	be	AUX
cana-4842	172	12	the	the	DET
cana-4842	172	13	bias	bias	NOUN
cana-4842	172	14	term	term	NOUN
cana-4842	172	15	in	in	ADP
cana-4842	172	16	process	process	NOUN
cana-4842	172	17	.	.	PUNCT
cana-4842	173	1	after	after	ADP
cana-4842	173	2	the	the	DET
cana-4842	173	3	temporal	temporal	ADJ
cana-4842	173	4	convolution	convolution	NOUN
cana-4842	173	5	,	,	PUNCT
cana-4842	173	6	the	the	DET
cana-4842	173	7	sequence	sequence	NOUN
cana-4842	173	8	goes	go	VERB
cana-4842	173	9	to	to	ADP
cana-4842	173	10	the	the	DET
cana-4842	173	11	transformer	transformer	ADJ
cana-4842	173	12	layers	layer	NOUN
cana-4842	173	13	with	with	ADP
cana-4842	173	14	selfattention	selfattention	NOUN
cana-4842	173	15	process	process	NOUN
cana-4842	173	16	.	.	PUNCT
cana-4842	174	1	the	the	DET
cana-4842	174	2	self	self	NOUN
cana-4842	174	3	-	-	PUNCT
cana-4842	174	4	attention	attention	NOUN
cana-4842	174	5	mechanism	mechanism	NOUN
cana-4842	174	6	for	for	ADP
cana-4842	174	7	a	a	DET
cana-4842	174	8	query	query	NOUN
cana-4842	174	9	'	'	PUNCT
cana-4842	174	10	q	q	NOUN
cana-4842	174	11	'	'	PUNCT
cana-4842	174	12	,	,	PUNCT
cana-4842	174	13	key	key	ADJ
cana-4842	174	14	'	'	PUNCT
cana-4842	174	15	k	k	NOUN
cana-4842	174	16	'	'	PUNCT
cana-4842	174	17	,	,	PUNCT
cana-4842	174	18	and	and	CCONJ
cana-4842	174	19	value	value	NOUN
cana-4842	174	20	'	'	PUNCT
cana-4842	174	21	v	v	NOUN
cana-4842	174	22	'	'	PUNCT
cana-4842	174	23	works	work	NOUN
cana-4842	174	24	via	via	ADP
cana-4842	174	25	equation	equation	NOUN
cana-4842	174	26	5	5	NUM
cana-4842	174	27	,	,	PUNCT
cana-4842	174	28	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛(𝑄,𝐾	𝐴𝑡𝑡𝑒𝑛𝑡𝑖𝑜𝑛(𝑄,𝐾	PROPN
cana-4842	174	29	,	,	PUNCT
cana-4842	174	30	𝑉	𝑉	PROPN
cana-4842	174	31	)	)	PUNCT
cana-4842	174	32	=	=	VERB
cana-4842	174	33	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	𝑠𝑜𝑓𝑡𝑚𝑎𝑥	NOUN
cana-4842	174	34	(	(	PUNCT
cana-4842	174	35	𝑄𝐾⊤	𝑄𝐾⊤	PROPN
cana-4842	174	36	√𝑑𝑘	√𝑑𝑘	PROPN
cana-4842	174	37	)	)	PUNCT
cana-4842	174	38	𝑉	𝑉	PROPN
cana-4842	174	39	…	…	PUNCT
cana-4842	174	40	(	(	PUNCT
cana-4842	174	41	5	5	NUM
cana-4842	174	42	)	)	PUNCT
cana-4842	174	43	where	where	SCONJ
cana-4842	174	44	,	,	PUNCT
cana-4842	174	45	dk	dk	PROPN
cana-4842	174	46	is	be	AUX
cana-4842	174	47	the	the	DET
cana-4842	174	48	dimensionality	dimensionality	NOUN
cana-4842	174	49	of	of	ADP
cana-4842	174	50	‘	'	PUNCT
cana-4842	174	51	k	k	NOUN
cana-4842	174	52	’	'	PUNCT
cana-4842	174	53	,	,	PUNCT
cana-4842	174	54	and	and	CCONJ
cana-4842	174	55	the	the	DET
cana-4842	174	56	softmax	softmax	NOUN
cana-4842	174	57	function	function	NOUN
cana-4842	174	58	normalizes	normalize	VERB
cana-4842	174	59	attention	attention	NOUN
cana-4842	174	60	weights	weight	NOUN
cana-4842	174	61	across	across	ADP
cana-4842	174	62	sequence	sequence	NOUN
cana-4842	174	63	positions	position	NOUN
cana-4842	174	64	.	.	PUNCT
cana-4842	175	1	capturing	capture	VERB
cana-4842	175	2	the	the	DET
cana-4842	175	3	time	time	NOUN
cana-4842	175	4	dependencies	dependency	NOUN
cana-4842	175	5	that	that	PRON
cana-4842	175	6	are	be	AUX
cana-4842	175	7	pertinent	pertinent	ADJ
cana-4842	175	8	to	to	ADP
cana-4842	175	9	long	long	ADJ
cana-4842	175	10	-	-	PUNCT
cana-4842	175	11	term	term	NOUN
cana-4842	175	12	anomaly	anomaly	NOUN
cana-4842	175	13	traffic	traffic	NOUN
cana-4842	175	14	detection	detection	NOUN
cana-4842	175	15	,	,	PUNCT
cana-4842	175	16	the	the	DET
cana-4842	175	17	composite	composite	ADJ
cana-4842	175	18	architecture	architecture	NOUN
cana-4842	175	19	completes	complete	VERB
cana-4842	175	20	the	the	DET
cana-4842	175	21	modeling	modeling	NOUN
cana-4842	175	22	of	of	ADP
cana-4842	175	23	traffic	traffic	NOUN
cana-4842	175	24	streams	stream	NOUN
cana-4842	175	25	.	.	PUNCT
cana-4842	176	1	the	the	DET
cana-4842	176	2	synthetic	synthetic	ADJ
cana-4842	176	3	generation	generation	NOUN
cana-4842	176	4	of	of	ADP
cana-4842	176	5	anomalies	anomaly	NOUN
cana-4842	176	6	with	with	ADP
cana-4842	176	7	the	the	DET
cana-4842	176	8	help	help	NOUN
cana-4842	176	9	of	of	ADP
cana-4842	176	10	cyclegan	cyclegan	NOUN
cana-4842	176	11	enhances	enhance	VERB
cana-4842	176	12	model	model	NOUN
cana-4842	176	13	robustness	robustness	NOUN
cana-4842	176	14	.	.	PUNCT
cana-4842	177	1	consider	consider	VERB
cana-4842	177	2	two	two	NUM
cana-4842	177	3	domains	domain	NOUN
cana-4842	177	4	x	x	PUNCT
cana-4842	177	5	(	(	PUNCT
cana-4842	177	6	benign	benign	ADJ
cana-4842	177	7	communications	communication	NOUN
cana-4842	177	8	on	on	ADP
cana-4842	177	9	applied	apply	VERB
cana-4842	177	10	nonlinear	nonlinear	ADJ
cana-4842	177	11	analysis	analysis	NOUN
cana-4842	177	12	issn	issn	NOUN
cana-4842	177	13	:	:	PUNCT
cana-4842	177	14	1074	1074	NUM
cana-4842	177	15	-	-	PUNCT
cana-4842	177	16	133x	133x	NUM
cana-4842	177	17	vol	vol	VERB
cana-4842	177	18	32	32	NUM
cana-4842	177	19	no	no	NOUN
cana-4842	177	20	.	.	PUNCT
cana-4842	178	1	10s	10	NOUN
cana-4842	178	2	(	(	PUNCT
cana-4842	178	3	2025	2025	NUM
cana-4842	178	4	)	)	PUNCT
cana-4842	178	5	477	477	NUM
cana-4842	178	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	178	7	traffic	traffic	NOUN
cana-4842	178	8	)	)	PUNCT
cana-4842	178	9	and	and	CCONJ
cana-4842	178	10	y	y	PROPN
cana-4842	178	11	(	(	PUNCT
cana-4842	178	12	anomalous	anomalous	ADJ
cana-4842	178	13	traffic	traffic	NOUN
cana-4842	178	14	)	)	PUNCT
cana-4842	178	15	.	.	PUNCT
cana-4842	179	1	given	give	VERB
cana-4842	179	2	these	these	DET
cana-4842	179	3	domains	domain	NOUN
cana-4842	179	4	,	,	PUNCT
cana-4842	179	5	the	the	DET
cana-4842	179	6	mappings	mapping	NOUN
cana-4842	179	7	g	g	NOUN
cana-4842	179	8	:	:	PUNCT
cana-4842	179	9	x→y	x→y	NUM
cana-4842	179	10	and	and	CCONJ
cana-4842	179	11	f	f	X
cana-4842	179	12	:	:	PUNCT
cana-4842	179	13	y→x	y→x	NUM
cana-4842	179	14	are	be	AUX
cana-4842	179	15	learned	learn	VERB
cana-4842	179	16	subject	subject	ADJ
cana-4842	179	17	to	to	ADP
cana-4842	179	18	cycle	cycle	NOUN
cana-4842	179	19	consistency	consistency	NOUN
cana-4842	179	20	,	,	PUNCT
cana-4842	179	21	as	as	SCONJ
cana-4842	179	22	enforced	enforce	VERB
cana-4842	179	23	via	via	ADP
cana-4842	179	24	equation	equation	NOUN
cana-4842	179	25	6	6	NUM
cana-4842	179	26	,	,	PUNCT
cana-4842	179	27	𝐿𝑐𝑦𝑐𝑙𝑒(𝐺	𝐿𝑐𝑦𝑐𝑙𝑒(𝐺	PROPN
cana-4842	179	28	,	,	PUNCT
cana-4842	179	29	𝐹	𝐹	PROPN
cana-4842	179	30	)	)	PUNCT
cana-4842	179	31	=	=	PUNCT
cana-4842	180	1	𝐸𝑥	𝐸𝑥	ADP
cana-4842	180	2	∼	∼	NOUN
cana-4842	180	3	𝑋[∥	𝑋[∥	NOUN
cana-4842	180	4	𝐹(𝐺(𝑥	𝐹(𝐺(𝑥	NOUN
cana-4842	180	5	)	)	PUNCT
cana-4842	180	6	)	)	PUNCT
cana-4842	181	1	−	−	ADP
cana-4842	181	2	𝑥	𝑥	NOUN
cana-4842	181	3	∥	∥	X
cana-4842	181	4	]	]	PUNCT
cana-4842	182	1	+	+	CCONJ
cana-4842	182	2	𝐸𝑦	𝐸𝑦	PROPN
cana-4842	182	3	∼	∼	NOUN
cana-4842	182	4	𝑌[∥	𝑌[∥	NOUN
cana-4842	182	5	𝐺(𝐹(𝑦	𝐺(𝐹(𝑦	VERB
cana-4842	182	6	)	)	PUNCT
cana-4842	182	7	)	)	PUNCT
cana-4842	183	1	−	−	PROPN
cana-4842	183	2	𝑦	𝑦	NOUN
cana-4842	183	3	∥	∥	X
cana-4842	183	4	]	]	X
cana-4842	183	5	…	…	PUNCT
cana-4842	183	6	(	(	PUNCT
cana-4842	183	7	6	6	X
cana-4842	183	8	)	)	PUNCT
cana-4842	183	9	this	this	DET
cana-4842	183	10	loss	loss	NOUN
cana-4842	183	11	preserves	preserve	VERB
cana-4842	183	12	structural	structural	ADJ
cana-4842	183	13	integrity	integrity	NOUN
cana-4842	183	14	between	between	ADP
cana-4842	183	15	synthetic	synthetic	ADJ
cana-4842	183	16	and	and	CCONJ
cana-4842	183	17	real	real	ADJ
cana-4842	183	18	samples	sample	NOUN
cana-4842	183	19	.	.	PUNCT
cana-4842	184	1	the	the	DET
cana-4842	184	2	adversarial	adversarial	ADJ
cana-4842	184	3	loss	loss	NOUN
cana-4842	184	4	encourages	encourage	VERB
cana-4842	184	5	the	the	DET
cana-4842	184	6	generation	generation	NOUN
cana-4842	184	7	of	of	ADP
cana-4842	184	8	realistic	realistic	ADJ
cana-4842	184	9	anomalies	anomaly	NOUN
cana-4842	184	10	,	,	PUNCT
cana-4842	184	11	given	give	VERB
cana-4842	184	12	via	via	ADP
cana-4842	184	13	equation	equation	NOUN
cana-4842	184	14	7	7	NUM
cana-4842	184	15	,	,	PUNCT
cana-4842	184	16	𝐿𝐺𝐴𝑁(𝐺,𝐷𝑌	𝐿𝐺𝐴𝑁(𝐺,𝐷𝑌	ADJ
cana-4842	184	17	)	)	PUNCT
cana-4842	184	18	=	=	SYM
cana-4842	185	1	𝐸𝑦	𝐸𝑦	PROPN
cana-4842	185	2	∼	∼	NOUN
cana-4842	185	3	𝑌[𝑙𝑜	𝑌[𝑙𝑜	CCONJ
cana-4842	185	4	𝑔	𝑔	NOUN
cana-4842	185	5	𝐷𝑌(𝑦	𝐷𝑌(𝑦	NOUN
cana-4842	185	6	)	)	PUNCT
cana-4842	185	7	]	]	PUNCT
cana-4842	186	1	+	+	CCONJ
cana-4842	187	1	𝐸𝑥	𝐸𝑥	ADP
cana-4842	187	2	∼	∼	NOUN
cana-4842	187	3	𝑋	𝑋	NOUN
cana-4842	187	4	[	[	X
cana-4842	187	5	𝑙𝑜	𝑙𝑜	ADP
cana-4842	187	6	𝑔	𝑔	PROPN
cana-4842	187	7	(	(	PUNCT
cana-4842	187	8	1	1	NUM
cana-4842	187	9	−	−	NOUN
cana-4842	187	10	𝐷𝑌(𝐺(𝑥	𝐷𝑌(𝐺(𝑥	NOUN
cana-4842	187	11	)	)	PUNCT
cana-4842	187	12	)	)	PUNCT
cana-4842	187	13	)	)	PUNCT
cana-4842	188	1	]	]	PUNCT
cana-4842	188	2	…	…	PUNCT
cana-4842	188	3	(	(	PUNCT
cana-4842	188	4	7	7	NUM
cana-4842	188	5	)	)	PUNCT
cana-4842	188	6	where	where	SCONJ
cana-4842	188	7	,	,	PUNCT
cana-4842	188	8	dy	dy	NOUN
cana-4842	188	9	is	be	AUX
cana-4842	188	10	a	a	DET
cana-4842	188	11	discriminator	discriminator	NOUN
cana-4842	188	12	trained	train	VERB
cana-4842	188	13	to	to	PART
cana-4842	188	14	discriminate	discriminate	VERB
cana-4842	188	15	between	between	ADP
cana-4842	188	16	real	real	ADJ
cana-4842	188	17	and	and	CCONJ
cana-4842	188	18	synthetic	synthetic	ADJ
cana-4842	188	19	anomalies	anomaly	NOUN
cana-4842	188	20	.	.	PUNCT
cana-4842	189	1	cyclegan	cyclegan	PROPN
cana-4842	189	2	thus	thus	ADV
cana-4842	189	3	augment	augment	VERB
cana-4842	189	4	the	the	DET
cana-4842	189	5	dataset	dataset	NOUN
cana-4842	189	6	strengthening	strengthen	VERB
cana-4842	189	7	resilience	resilience	NOUN
cana-4842	189	8	against	against	ADP
cana-4842	189	9	novel	novel	ADJ
cana-4842	189	10	threats	threat	NOUN
cana-4842	189	11	.	.	PUNCT
cana-4842	190	1	the	the	DET
cana-4842	190	2	hybrid	hybrid	ADJ
cana-4842	190	3	ensemble	ensemble	ADJ
cana-4842	190	4	combines	combine	NOUN
cana-4842	190	5	xgboost	xgboost	X
cana-4842	190	6	which	which	PRON
cana-4842	190	7	captures	capture	VERB
cana-4842	190	8	non	non	ADJ
cana-4842	190	9	-	-	ADJ
cana-4842	190	10	linear	linear	ADJ
cana-4842	190	11	feature	feature	NOUN
cana-4842	190	12	importance	importance	NOUN
cana-4842	190	13	with	with	ADP
cana-4842	190	14	lstm	lstm	NOUN
cana-4842	190	15	which	which	PRON
cana-4842	190	16	models	model	VERB
cana-4842	190	17	sequential	sequential	ADJ
cana-4842	190	18	dependencies	dependency	NOUN
cana-4842	190	19	.	.	PUNCT
cana-4842	191	1	xgboost	xgboost	PROPN
cana-4842	191	2	optimizes	optimize	VERB
cana-4842	191	3	a	a	DET
cana-4842	191	4	boosted	boosted	ADJ
cana-4842	191	5	tree	tree	NOUN
cana-4842	191	6	ensemble	ensemble	ADJ
cana-4842	191	7	whose	whose	DET
cana-4842	191	8	objective	objective	ADJ
cana-4842	191	9	function	function	NOUN
cana-4842	191	10	is	be	AUX
cana-4842	191	11	represented	represent	VERB
cana-4842	191	12	via	via	ADP
cana-4842	191	13	equation	equation	NOUN
cana-4842	191	14	8	8	NUM
cana-4842	191	15	,	,	PUNCT
cana-4842	191	16	𝐿𝑏𝑜𝑜𝑠𝑡	𝐿𝑏𝑜𝑜𝑠𝑡	PROPN
cana-4842	191	17	=	=	PRON
cana-4842	191	18	∑𝑙(𝑦𝑖	∑𝑙(𝑦𝑖	NUM
cana-4842	191	19	,	,	PUNCT
cana-4842	191	20	𝑦′𝑖	𝑦′𝑖	NOUN
cana-4842	191	21	)	)	PUNCT
cana-4842	191	22	𝑛	𝑛	PRON
cana-4842	191	23	𝑖=1	𝑖=1	PUNCT
cana-4842	192	1	+	+	ADJ
cana-4842	192	2	∑𝛺(𝑓𝑘	∑𝛺(𝑓𝑘	ADJ
cana-4842	192	3	)	)	PUNCT
cana-4842	192	4	𝐾	𝐾	PROPN
cana-4842	192	5	𝑘=1	𝑘=1	PROPN
cana-4842	192	6	…	…	PUNCT
cana-4842	192	7	(	(	PUNCT
cana-4842	192	8	8)	8)	NUM
cana-4842	192	9	with	with	ADP
cana-4842	192	10	,	,	PUNCT
cana-4842	192	11	l(yi	l(yi	PROPN
cana-4842	192	12	,	,	PUNCT
cana-4842	192	13	y’i	y’i	PROPN
cana-4842	192	14	)	)	PUNCT
cana-4842	192	15	as	as	ADP
cana-4842	192	16	the	the	DET
cana-4842	192	17	differentiable	differentiable	ADJ
cana-4842	192	18	loss	loss	NOUN
cana-4842	192	19	between	between	ADP
cana-4842	192	20	actual	actual	ADJ
cana-4842	192	21	and	and	CCONJ
cana-4842	192	22	predicted	predict	VERB
cana-4842	192	23	labels	label	NOUN
cana-4842	192	24	,	,	PUNCT
cana-4842	192	25	and	and	CCONJ
cana-4842	192	26	ω(fk	ω(fk	NUM
cana-4842	192	27	)	)	PUNCT
cana-4842	192	28	as	as	ADP
cana-4842	192	29	a	a	DET
cana-4842	192	30	regularization	regularization	NOUN
cana-4842	192	31	term	term	NOUN
cana-4842	192	32	in	in	ADP
cana-4842	192	33	the	the	DET
cana-4842	192	34	process	process	NOUN
cana-4842	192	35	.	.	PUNCT
cana-4842	193	1	the	the	DET
cana-4842	193	2	lstm	lstm	NOUN
cana-4842	193	3	,	,	PUNCT
cana-4842	193	4	processing	processing	NOUN
cana-4842	193	5	embeddings	embedding	NOUN
cana-4842	193	6	sequentially	sequentially	ADV
cana-4842	193	7	,	,	PUNCT
cana-4842	193	8	updates	update	VERB
cana-4842	193	9	the	the	DET
cana-4842	193	10	cell	cell	NOUN
cana-4842	193	11	state	state	NOUN
cana-4842	193	12	ct	ct	PROPN
cana-4842	193	13	based	base	VERB
cana-4842	193	14	on	on	ADP
cana-4842	193	15	input	input	NOUN
cana-4842	193	16	xt	xt	PROPN
cana-4842	193	17	,	,	PUNCT
cana-4842	193	18	the	the	DET
cana-4842	193	19	forget	forget	PROPN
cana-4842	193	20	gate	gate	PROPN
cana-4842	193	21	ft	ft	PROPN
cana-4842	193	22	,	,	PUNCT
cana-4842	193	23	and	and	CCONJ
cana-4842	193	24	the	the	DET
cana-4842	193	25	input	input	NOUN
cana-4842	193	26	gate	gate	NOUN
cana-4842	193	27	‘	'	PUNCT
cana-4842	193	28	it	it	PRON
cana-4842	193	29	’	'	PUNCT
cana-4842	193	30	via	via	ADP
cana-4842	193	31	equation	equation	NOUN
cana-4842	193	32	9	9	NUM
cana-4842	193	33	,	,	PUNCT
cana-4842	193	34	𝐶𝑡	𝐶𝑡	PROPN
cana-4842	193	35	=	=	PROPN
cana-4842	193	36	𝑓𝑡	𝑓𝑡	PROPN
cana-4842	193	37	⋅	⋅	PROPN
cana-4842	193	38	𝐶(𝑡	𝐶(𝑡	PUNCT
cana-4842	193	39	−	−	PROPN
cana-4842	193	40	1	1	NUM
cana-4842	193	41	)	)	PUNCT
cana-4842	193	42	+	+	CCONJ
cana-4842	193	43	𝑖𝑡	𝑖𝑡	ADP
cana-4842	193	44	⋅	⋅	PROPN
cana-4842	193	45	𝐶~𝑡	𝐶~𝑡	X
cana-4842	193	46	…	…	PUNCT
cana-4842	193	47	(	(	PUNCT
cana-4842	193	48	9	9	NUM
cana-4842	193	49	)	)	PUNCT
cana-4842	193	50	where	where	SCONJ
cana-4842	193	51	,	,	PUNCT
cana-4842	193	52	c	c	PROPN
cana-4842	193	53	~	~	PROPN
cana-4842	193	54	t	t	PROPN
cana-4842	193	55	is	be	AUX
cana-4842	193	56	the	the	DET
cana-4842	193	57	candidate	candidate	NOUN
cana-4842	193	58	cell	cell	NOUN
cana-4842	193	59	state	state	NOUN
cana-4842	193	60	for	for	ADP
cana-4842	193	61	this	this	DET
cana-4842	193	62	process	process	NOUN
cana-4842	193	63	.	.	PUNCT
cana-4842	194	1	the	the	DET
cana-4842	194	2	hybrid	hybrid	NOUN
cana-4842	194	3	model	model	NOUN
cana-4842	194	4	combines	combine	VERB
cana-4842	194	5	xgboost	xgboost	ADV
cana-4842	194	6	interpretability	interpretability	NOUN
cana-4842	194	7	with	with	ADP
cana-4842	194	8	lstm	lstm	PROPN
cana-4842	194	9	sequential	sequential	ADJ
cana-4842	194	10	strength	strength	NOUN
cana-4842	194	11	to	to	PART
cana-4842	194	12	compute	compute	VERB
cana-4842	194	13	anomaly	anomaly	NOUN
cana-4842	194	14	scores	score	NOUN
cana-4842	194	15	that	that	PRON
cana-4842	194	16	reflect	reflect	VERB
cana-4842	194	17	both	both	PRON
cana-4842	194	18	feature	feature	NOUN
cana-4842	194	19	importance	importance	NOUN
cana-4842	194	20	and	and	CCONJ
cana-4842	194	21	temporal	temporal	ADJ
cana-4842	194	22	patterns	pattern	NOUN
cana-4842	194	23	.	.	PUNCT
cana-4842	195	1	structural	structural	ADJ
cana-4842	195	2	equation	equation	NOUN
cana-4842	195	3	modeling	model	VERB
cana-4842	195	4	finally	finally	ADV
cana-4842	195	5	,	,	PUNCT
cana-4842	195	6	introduces	introduce	VERB
cana-4842	195	7	causal	causal	ADJ
cana-4842	195	8	interpretability	interpretability	NOUN
cana-4842	195	9	by	by	ADP
cana-4842	195	10	modeling	model	VERB
cana-4842	195	11	relationships	relationship	NOUN
cana-4842	195	12	between	between	ADP
cana-4842	195	13	features	feature	NOUN
cana-4842	195	14	and	and	CCONJ
cana-4842	195	15	anomaly	anomaly	NOUN
cana-4842	195	16	scores	score	NOUN
cana-4842	195	17	.	.	PUNCT
cana-4842	196	1	sem	sem	PROPN
cana-4842	196	2	represents	represent	VERB
cana-4842	196	3	a	a	DET
cana-4842	196	4	linear	linear	ADJ
cana-4842	196	5	relationship	relationship	NOUN
cana-4842	196	6	via	via	ADP
cana-4842	196	7	equation	equation	NOUN
cana-4842	196	8	10	10	NUM
cana-4842	196	9	,	,	PUNCT
cana-4842	196	10	𝑌	𝑌	PROPN
cana-4842	196	11	=	=	SYM
cana-4842	196	12	𝛼	𝛼	PROPN
cana-4842	197	1	+	+	NOUN
cana-4842	197	2	𝛽𝑋	𝛽𝑋	PROPN
cana-4842	197	3	+	+	CCONJ
cana-4842	197	4	𝜖	𝜖	X
cana-4842	197	5	…	…	PUNCT
cana-4842	197	6	(	(	PUNCT
cana-4842	197	7	10	10	NUM
cana-4842	197	8	)	)	PUNCT
cana-4842	197	9	here	here	ADV
cana-4842	197	10	,	,	PUNCT
cana-4842	197	11	'	'	PUNCT
cana-4842	197	12	y	y	X
cana-4842	197	13	'	'	PUNCT
cana-4842	197	14	is	be	AUX
cana-4842	197	15	an	an	DET
cana-4842	197	16	output	output	NOUN
cana-4842	197	17	variable	variable	NOUN
cana-4842	197	18	(	(	PUNCT
cana-4842	197	19	anomalous	anomalous	ADJ
cana-4842	197	20	score	score	NOUN
cana-4842	197	21	)	)	PUNCT
cana-4842	197	22	,	,	PUNCT
cana-4842	197	23	'	'	PUNCT
cana-4842	197	24	x	x	X
cana-4842	197	25	'	'	PUNCT
cana-4842	197	26	is	be	AUX
cana-4842	197	27	a	a	DET
cana-4842	197	28	predictor	predictor	NOUN
cana-4842	197	29	,	,	PUNCT
cana-4842	197	30	β	β	X
cana-4842	197	31	is	be	AUX
cana-4842	197	32	causal	causal	ADJ
cana-4842	197	33	weight	weight	NOUN
cana-4842	197	34	and	and	CCONJ
cana-4842	197	35	ϵ	ϵ	X
cana-4842	197	36	represents	represent	VERB
cana-4842	197	37	unexplained	unexplained	ADJ
cana-4842	197	38	levels	level	NOUN
cana-4842	197	39	of	of	ADP
cana-4842	197	40	variance	variance	NOUN
cana-4842	197	41	.	.	PUNCT
cana-4842	198	1	the	the	DET
cana-4842	198	2	sem	sem	PROPN
cana-4842	198	3	model	model	NOUN
cana-4842	198	4	is	be	AUX
cana-4842	198	5	thereby	thereby	ADV
cana-4842	198	6	estimated	estimate	VERB
cana-4842	198	7	to	to	PART
cana-4842	198	8	understand	understand	VERB
cana-4842	198	9	pathways	pathway	NOUN
cana-4842	198	10	and	and	CCONJ
cana-4842	198	11	indirect	indirect	ADJ
cana-4842	198	12	effects	effect	NOUN
cana-4842	198	13	,	,	PUNCT
cana-4842	198	14	hence	hence	ADV
cana-4842	198	15	,	,	PUNCT
cana-4842	198	16	explaining	explain	VERB
cana-4842	198	17	the	the	DET
cana-4842	198	18	reasoning	reasoning	NOUN
cana-4842	198	19	behind	behind	ADP
cana-4842	198	20	flagged	flag	VERB
cana-4842	198	21	anomalies	anomaly	NOUN
cana-4842	198	22	.	.	PUNCT
cana-4842	199	1	lastly	lastly	ADV
cana-4842	199	2	,	,	PUNCT
cana-4842	199	3	the	the	DET
cana-4842	199	4	anomalous	anomalous	ADJ
cana-4842	199	5	score	score	NOUN
cana-4842	199	6	's	's	PART
cana-4842	199	7	'	'	PUNCT
cana-4842	199	8	incorporates	incorporate	VERB
cana-4842	199	9	all	all	DET
cana-4842	199	10	the	the	DET
cana-4842	199	11	outputs	output	NOUN
cana-4842	199	12	of	of	ADP
cana-4842	199	13	the	the	DET
cana-4842	199	14	components	component	NOUN
cana-4842	199	15	.	.	PUNCT
cana-4842	200	1	each	each	PRON
cana-4842	200	2	of	of	ADP
cana-4842	200	3	the	the	DET
cana-4842	200	4	embeddings	embedding	NOUN
cana-4842	200	5	ei	ei	NOUN
cana-4842	200	6	obtained	obtain	VERB
cana-4842	200	7	from	from	ADP
cana-4842	200	8	the	the	DET
cana-4842	200	9	above	above	ADJ
cana-4842	200	10	three	three	NUM
cana-4842	200	11	types	type	NOUN
cana-4842	200	12	,	,	PUNCT
cana-4842	200	13	namely	namely	ADV
cana-4842	200	14	graphsage	graphsage	NOUN
cana-4842	200	15	,	,	PUNCT
cana-4842	200	16	simclr	simclr	NOUN
cana-4842	200	17	,	,	PUNCT
cana-4842	200	18	and	and	CCONJ
cana-4842	200	19	tct	tct	PROPN
cana-4842	200	20	can	can	AUX
cana-4842	200	21	now	now	ADV
cana-4842	200	22	contribute	contribute	VERB
cana-4842	200	23	towards	towards	ADP
cana-4842	200	24	generating	generate	VERB
cana-4842	200	25	an	an	DET
cana-4842	200	26	integrated	integrate	VERB
cana-4842	200	27	process	process	NOUN
cana-4842	200	28	represented	represent	VERB
cana-4842	200	29	via	via	ADP
cana-4842	200	30	equation	equation	NOUN
cana-4842	200	31	11	11	NUM
cana-4842	200	32	,	,	PUNCT
cana-4842	200	33	where	where	SCONJ
cana-4842	200	34	wi	wi	PROPN
cana-4842	200	35	depends	depend	VERB
cana-4842	200	36	upon	upon	SCONJ
cana-4842	200	37	its	its	PRON
cana-4842	200	38	relevance	relevance	NOUN
cana-4842	200	39	,	,	PUNCT
cana-4842	200	40	𝑆	𝑆	PROPN
cana-4842	200	41	=	=	SYM
cana-4842	200	42	∑𝑤𝑖	∑𝑤𝑖	NOUN
cana-4842	200	43	∗	∗	VERB
cana-4842	200	44	𝑒𝑖	𝑒𝑖	ADP
cana-4842	200	45	𝑖	𝑖	PROPN
cana-4842	201	1	+	+	CCONJ
cana-4842	201	2	𝛾	𝛾	ADP
cana-4842	201	3	⋅	⋅	PROPN
cana-4842	201	4	𝐷𝐶𝑦𝑐𝑙𝑒𝐺𝐴𝑁	𝐷𝐶𝑦𝑐𝑙𝑒𝐺𝐴𝑁	PROPN
cana-4842	201	5	+	+	CCONJ
cana-4842	201	6	𝛿	𝛿	DET
cana-4842	201	7	⋅	⋅	PROPN
cana-4842	201	8	𝑆𝐸𝑀(𝑌	𝑆𝐸𝑀(𝑌	ADP
cana-4842	201	9	∣	∣	ADJ
cana-4842	201	10	𝑋	𝑋	NOUN
cana-4842	201	11	)	)	PUNCT
cana-4842	201	12	…	…	PUNCT
cana-4842	201	13	(	(	PUNCT
cana-4842	201	14	11	11	NUM
cana-4842	201	15	)	)	PUNCT
cana-4842	201	16	where	where	SCONJ
cana-4842	201	17	,	,	PUNCT
cana-4842	201	18	dcyclegan	dcyclegan	PROPN
cana-4842	201	19	is	be	AUX
cana-4842	201	20	the	the	DET
cana-4842	201	21	discriminator	discriminator	NOUN
cana-4842	201	22	score	score	NOUN
cana-4842	201	23	of	of	ADP
cana-4842	201	24	the	the	DET
cana-4842	201	25	cyclegan	cyclegan	NOUN
cana-4842	201	26	,	,	PUNCT
cana-4842	201	27	and	and	CCONJ
cana-4842	201	28	δ	δ	PROPN
cana-4842	201	29	and	and	CCONJ
cana-4842	201	30	γ	γ	NOUN
cana-4842	201	31	are	be	AUX
cana-4842	201	32	values	value	NOUN
cana-4842	201	33	that	that	PRON
cana-4842	201	34	adapt	adapt	VERB
cana-4842	201	35	to	to	ADP
cana-4842	201	36	adversarial	adversarial	ADJ
cana-4842	201	37	robustness	robustness	NOUN
cana-4842	201	38	and	and	CCONJ
cana-4842	201	39	level	level	NOUN
cana-4842	201	40	of	of	ADP
cana-4842	201	41	interpretability	interpretability	NOUN
cana-4842	201	42	.	.	PUNCT
cana-4842	202	1	this	this	DET
cana-4842	202	2	final	final	ADJ
cana-4842	202	3	score	score	NOUN
cana-4842	202	4	's	's	PART
cana-4842	202	5	'	'	PUNCT
cana-4842	202	6	generates	generate	VERB
cana-4842	202	7	a	a	DET
cana-4842	202	8	holistic	holistic	ADJ
cana-4842	202	9	anomaly	anomaly	NOUN
cana-4842	202	10	score	score	NOUN
cana-4842	202	11	with	with	ADP
cana-4842	202	12	multiple	multiple	ADJ
cana-4842	202	13	features	feature	NOUN
cana-4842	202	14	:	:	PUNCT
cana-4842	202	15	relational	relational	ADJ
cana-4842	202	16	,	,	PUNCT
cana-4842	202	17	temporal	temporal	ADJ
cana-4842	202	18	,	,	PUNCT
cana-4842	202	19	adversarial	adversarial	ADJ
cana-4842	202	20	,	,	PUNCT
cana-4842	202	21	and	and	CCONJ
cana-4842	202	22	causal	causal	NOUN
cana-4842	202	23	,	,	PUNCT
cana-4842	202	24	which	which	PRON
cana-4842	202	25	makes	make	VERB
cana-4842	202	26	it	it	PRON
cana-4842	202	27	the	the	DET
cana-4842	202	28	optimal	optimal	ADJ
cana-4842	202	29	metric	metric	NOUN
cana-4842	202	30	for	for	ADP
cana-4842	202	31	real	real	ADJ
cana-4842	202	32	-	-	PUNCT
cana-4842	202	33	time	time	NOUN
cana-4842	202	34	anomaly	anomaly	NOUN
cana-4842	202	35	detection	detection	NOUN
cana-4842	202	36	in	in	ADP
cana-4842	202	37	encrypted	encrypt	VERB
cana-4842	202	38	network	network	NOUN
cana-4842	202	39	traffic	traffic	NOUN
cana-4842	202	40	sets	set	NOUN
cana-4842	202	41	.	.	PUNCT
cana-4842	203	1	then	then	ADV
cana-4842	203	2	,	,	PUNCT
cana-4842	203	3	in	in	ADP
cana-4842	203	4	the	the	DET
cana-4842	203	5	following	follow	VERB
cana-4842	203	6	communications	communication	NOUN
cana-4842	203	7	on	on	ADP
cana-4842	203	8	applied	apply	VERB
cana-4842	203	9	nonlinear	nonlinear	ADJ
cana-4842	203	10	analysis	analysis	NOUN
cana-4842	203	11	issn	issn	NOUN
cana-4842	203	12	:	:	PUNCT
cana-4842	203	13	1074	1074	NUM
cana-4842	203	14	-	-	PUNCT
cana-4842	203	15	133x	133x	NUM
cana-4842	203	16	vol	vol	VERB
cana-4842	203	17	32	32	NUM
cana-4842	203	18	no	no	NOUN
cana-4842	203	19	.	.	PUNCT
cana-4842	204	1	10s	10	NOUN
cana-4842	204	2	(	(	PUNCT
cana-4842	204	3	2025	2025	NUM
cana-4842	204	4	)	)	PUNCT
cana-4842	204	5	478	478	NUM
cana-4842	204	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	204	7	section	section	NOUN
cana-4842	204	8	,	,	PUNCT
cana-4842	204	9	we	we	PRON
cana-4842	204	10	discuss	discuss	VERB
cana-4842	204	11	the	the	DET
cana-4842	204	12	efficiency	efficiency	NOUN
cana-4842	204	13	of	of	ADP
cana-4842	204	14	this	this	DET
cana-4842	204	15	model	model	NOUN
cana-4842	204	16	in	in	ADP
cana-4842	204	17	terms	term	NOUN
cana-4842	204	18	of	of	ADP
cana-4842	204	19	various	various	ADJ
cana-4842	204	20	metrics	metric	NOUN
cana-4842	204	21	and	and	CCONJ
cana-4842	204	22	compare	compare	VERB
cana-4842	204	23	its	its	PRON
cana-4842	204	24	performance	performance	NOUN
cana-4842	204	25	with	with	ADP
cana-4842	204	26	existing	exist	VERB
cana-4842	204	27	methods	method	NOUN
cana-4842	204	28	under	under	ADP
cana-4842	204	29	different	different	ADJ
cana-4842	204	30	scenarios	scenario	NOUN
cana-4842	204	31	.	.	PUNCT
cana-4842	205	1	4	4	X
cana-4842	205	2	.	.	X
cana-4842	205	3	comparative	comparative	ADJ
cana-4842	205	4	result	result	NOUN
cana-4842	205	5	analysis	analysis	NOUN
cana-4842	205	6	this	this	DET
cana-4842	205	7	experimental	experimental	ADJ
cana-4842	205	8	setup	setup	NOUN
cana-4842	205	9	involves	involve	VERB
cana-4842	205	10	creating	create	VERB
cana-4842	205	11	curated	curate	VERB
cana-4842	205	12	pipeline	pipeline	NOUN
cana-4842	205	13	,	,	PUNCT
cana-4842	205	14	covering	cover	VERB
cana-4842	205	15	data	datum	NOUN
cana-4842	205	16	preprocessing	preprocessing	NOUN
cana-4842	205	17	,	,	PUNCT
cana-4842	205	18	feature	feature	NOUN
cana-4842	205	19	engineering	engineering	NOUN
cana-4842	205	20	,	,	PUNCT
cana-4842	205	21	model	model	NOUN
cana-4842	205	22	training	training	NOUN
cana-4842	205	23	,	,	PUNCT
cana-4842	205	24	and	and	CCONJ
cana-4842	205	25	evaluation	evaluation	NOUN
cana-4842	205	26	on	on	ADP
cana-4842	205	27	several	several	ADJ
cana-4842	205	28	real	real	ADJ
cana-4842	205	29	-	-	PUNCT
cana-4842	205	30	world	world	NOUN
cana-4842	205	31	encrypted	encrypt	VERB
cana-4842	205	32	network	network	NOUN
cana-4842	205	33	traffic	traffic	NOUN
cana-4842	205	34	datasets	dataset	NOUN
cana-4842	205	35	and	and	CCONJ
cana-4842	205	36	samples	sample	NOUN
cana-4842	205	37	.	.	PUNCT
cana-4842	206	1	this	this	DET
cana-4842	206	2	part	part	NOUN
cana-4842	206	3	of	of	ADP
cana-4842	206	4	the	the	DET
cana-4842	206	5	data	datum	NOUN
cana-4842	206	6	preprocessing	preprocessing	NOUN
cana-4842	206	7	included	include	VERB
cana-4842	206	8	first	first	ADV
cana-4842	206	9	collecting	collect	VERB
cana-4842	206	10	the	the	DET
cana-4842	206	11	encrypted	encrypt	VERB
cana-4842	206	12	network	network	NOUN
cana-4842	206	13	traffic	traffic	NOUN
cana-4842	206	14	data	datum	NOUN
cana-4842	206	15	from	from	ADP
cana-4842	206	16	a	a	DET
cana-4842	206	17	variety	variety	NOUN
cana-4842	206	18	of	of	ADP
cana-4842	206	19	standard	standard	ADJ
cana-4842	206	20	network	network	NOUN
cana-4842	206	21	datasets	dataset	NOUN
cana-4842	206	22	,	,	PUNCT
cana-4842	206	23	including	include	VERB
cana-4842	206	24	the	the	DET
cana-4842	206	25	cicids	cicid	NOUN
cana-4842	206	26	2017	2017	NUM
cana-4842	206	27	dataset	dataset	NOUN
cana-4842	206	28	,	,	PUNCT
cana-4842	206	29	along	along	ADP
cana-4842	206	30	with	with	ADP
cana-4842	206	31	custom	custom	NOUN
cana-4842	206	32	logs	log	NOUN
cana-4842	206	33	from	from	ADP
cana-4842	206	34	a	a	DET
cana-4842	206	35	simulated	simulate	VERB
cana-4842	206	36	enterprise	enterprise	NOUN
cana-4842	206	37	network	network	NOUN
cana-4842	206	38	environment	environment	NOUN
cana-4842	206	39	.	.	PUNCT
cana-4842	207	1	the	the	DET
cana-4842	207	2	data	data	NOUN
cana-4842	207	3	sets	set	NOUN
cana-4842	207	4	are	be	AUX
cana-4842	207	5	presented	present	VERB
cana-4842	207	6	with	with	ADP
cana-4842	207	7	network	network	NOUN
cana-4842	207	8	flows	flow	NOUN
cana-4842	207	9	,	,	PUNCT
cana-4842	207	10	along	along	ADP
cana-4842	207	11	with	with	ADP
cana-4842	207	12	attributes	attribute	NOUN
cana-4842	207	13	concerning	concern	VERB
cana-4842	207	14	ip	ip	DET
cana-4842	207	15	addresses	address	NOUN
cana-4842	207	16	,	,	PUNCT
cana-4842	207	17	ports	port	NOUN
cana-4842	207	18	,	,	PUNCT
cana-4842	207	19	protocols	protocol	NOUN
cana-4842	207	20	,	,	PUNCT
cana-4842	207	21	timestamps	timestamp	NOUN
cana-4842	207	22	,	,	PUNCT
cana-4842	207	23	packet	packet	NOUN
cana-4842	207	24	size	size	NOUN
cana-4842	207	25	distributions	distribution	NOUN
cana-4842	207	26	,	,	PUNCT
cana-4842	207	27	and	and	CCONJ
cana-4842	207	28	session	session	NOUN
cana-4842	207	29	durations	duration	NOUN
cana-4842	207	30	in	in	ADP
cana-4842	207	31	order	order	NOUN
cana-4842	207	32	to	to	PART
cana-4842	207	33	analyze	analyze	VERB
cana-4842	207	34	benign	benign	ADJ
cana-4842	207	35	and	and	CCONJ
cana-4842	207	36	malicious	malicious	ADJ
cana-4842	207	37	behaviors	behavior	NOUN
cana-4842	207	38	.	.	PUNCT
cana-4842	208	1	each	each	DET
cana-4842	208	2	data	datum	NOUN
cana-4842	208	3	sample	sample	NOUN
cana-4842	208	4	is	be	AUX
cana-4842	208	5	represented	represent	VERB
cana-4842	208	6	by	by	ADP
cana-4842	208	7	converting	convert	VERB
cana-4842	208	8	it	it	PRON
cana-4842	208	9	into	into	ADP
cana-4842	208	10	a	a	DET
cana-4842	208	11	graph	graph	NOUN
cana-4842	208	12	-	-	PUNCT
cana-4842	208	13	based	base	VERB
cana-4842	208	14	representation	representation	NOUN
cana-4842	208	15	,	,	PUNCT
cana-4842	208	16	in	in	ADP
cana-4842	208	17	which	which	PRON
cana-4842	208	18	each	each	DET
cana-4842	208	19	node	node	NOUN
cana-4842	208	20	stands	stand	VERB
cana-4842	208	21	for	for	ADP
cana-4842	208	22	an	an	DET
cana-4842	208	23	ip	ip	ADJ
cana-4842	208	24	address	address	NOUN
cana-4842	208	25	or	or	CCONJ
cana-4842	208	26	device	device	NOUN
cana-4842	208	27	,	,	PUNCT
cana-4842	208	28	and	and	CCONJ
cana-4842	208	29	each	each	DET
cana-4842	208	30	edge	edge	NOUN
cana-4842	208	31	represents	represent	VERB
cana-4842	208	32	how	how	SCONJ
cana-4842	208	33	they	they	PRON
cana-4842	208	34	are	be	AUX
cana-4842	208	35	connected	connect	VERB
cana-4842	208	36	.	.	PUNCT
cana-4842	209	1	most	most	ADJ
cana-4842	209	2	data	datum	NOUN
cana-4842	209	3	sets	set	NOUN
cana-4842	209	4	have	have	VERB
cana-4842	209	5	up	up	ADP
cana-4842	209	6	to	to	PART
cana-4842	209	7	500,000	500,000	NUM
cana-4842	209	8	nodes	node	NOUN
cana-4842	209	9	and	and	CCONJ
cana-4842	209	10	2	2	NUM
cana-4842	209	11	million	million	NUM
cana-4842	209	12	edges	edge	NOUN
cana-4842	209	13	simulating	simulate	VERB
cana-4842	209	14	the	the	DET
cana-4842	209	15	mid	mid	ADJ
cana-4842	209	16	-	-	ADJ
cana-4842	209	17	scale	scale	ADJ
cana-4842	209	18	network	network	NOUN
cana-4842	209	19	environment	environment	NOUN
cana-4842	209	20	.	.	PUNCT
cana-4842	210	1	contextual	contextual	ADJ
cana-4842	210	2	data	datum	NOUN
cana-4842	210	3	samples	sample	NOUN
cana-4842	210	4	to	to	PART
cana-4842	210	5	include	include	VERB
cana-4842	210	6	benign	benign	ADJ
cana-4842	210	7	activity	activity	NOUN
cana-4842	210	8	interleaved	interleave	VERB
cana-4842	210	9	with	with	ADP
cana-4842	210	10	anomalies	anomaly	NOUN
cana-4842	210	11	such	such	ADJ
cana-4842	210	12	as	as	ADP
cana-4842	210	13	port	port	NOUN
cana-4842	210	14	scanning	scanning	NOUN
cana-4842	210	15	,	,	PUNCT
cana-4842	210	16	brute	brute	ADJ
cana-4842	210	17	-	-	PUNCT
cana-4842	210	18	force	force	NOUN
cana-4842	210	19	login	login	NOUN
cana-4842	210	20	attempts	attempt	NOUN
cana-4842	210	21	,	,	PUNCT
cana-4842	210	22	and	and	CCONJ
cana-4842	210	23	data	datum	NOUN
cana-4842	210	24	exfiltration	exfiltration	NOUN
cana-4842	210	25	,	,	PUNCT
cana-4842	210	26	where	where	SCONJ
cana-4842	210	27	encryption	encryption	NOUN
cana-4842	210	28	hides	hide	VERB
cana-4842	210	29	content	content	NOUN
cana-4842	210	30	but	but	CCONJ
cana-4842	210	31	not	not	PART
cana-4842	210	32	connection	connection	NOUN
cana-4842	210	33	patterns	pattern	NOUN
cana-4842	210	34	.	.	PUNCT
cana-4842	211	1	for	for	ADP
cana-4842	211	2	meaningful	meaningful	ADJ
cana-4842	211	3	model	model	NOUN
cana-4842	211	4	evaluations	evaluation	NOUN
cana-4842	211	5	,	,	PUNCT
cana-4842	211	6	the	the	DET
cana-4842	211	7	dataset	dataset	NOUN
cana-4842	211	8	splits	split	NOUN
cana-4842	211	9	are	be	AUX
cana-4842	211	10	done	do	VERB
cana-4842	211	11	into	into	ADP
cana-4842	211	12	training	training	NOUN
cana-4842	211	13	,	,	PUNCT
cana-4842	211	14	validation	validation	NOUN
cana-4842	211	15	,	,	PUNCT
cana-4842	211	16	and	and	CCONJ
cana-4842	211	17	test	test	NOUN
cana-4842	211	18	sets	set	NOUN
cana-4842	211	19	using	use	VERB
cana-4842	211	20	an	an	DET
cana-4842	211	21	80:10:10	80:10:10	NUM
cana-4842	211	22	ratio	ratio	NOUN
cana-4842	211	23	,	,	PUNCT
cana-4842	211	24	with	with	ADP
cana-4842	211	25	stratification	stratification	NOUN
cana-4842	211	26	so	so	SCONJ
cana-4842	211	27	that	that	SCONJ
cana-4842	211	28	the	the	DET
cana-4842	211	29	class	class	NOUN
cana-4842	211	30	distribution	distribution	NOUN
cana-4842	211	31	is	be	AUX
cana-4842	211	32	equally	equally	ADV
cana-4842	211	33	well	well	ADV
cana-4842	211	34	maintained	maintain	VERB
cana-4842	211	35	across	across	ADP
cana-4842	211	36	anomalous	anomalous	ADJ
cana-4842	211	37	and	and	CCONJ
cana-4842	211	38	benign	benign	ADJ
cana-4842	211	39	instances	instance	NOUN
cana-4842	211	40	.	.	PUNCT
cana-4842	212	1	all	all	DET
cana-4842	212	2	the	the	DET
cana-4842	212	3	derived	derive	VERB
cana-4842	212	4	metrics	metric	NOUN
cana-4842	212	5	average	average	ADJ
cana-4842	212	6	packet	packet	NOUN
cana-4842	212	7	size	size	NOUN
cana-4842	212	8	per	per	ADP
cana-4842	212	9	flow	flow	NOUN
cana-4842	212	10	,	,	PUNCT
cana-4842	212	11	connection	connection	NOUN
cana-4842	212	12	frequency	frequency	NOUN
cana-4842	212	13	,	,	PUNCT
cana-4842	212	14	etcare	etcare	VERB
cana-4842	212	15	node	node	NOUN
cana-4842	212	16	degrees	degree	NOUN
cana-4842	212	17	within	within	ADP
cana-4842	212	18	the	the	DET
cana-4842	212	19	graph	graph	NOUN
cana-4842	212	20	.	.	PUNCT
cana-4842	213	1	consequently	consequently	ADV
cana-4842	213	2	,	,	PUNCT
cana-4842	213	3	the	the	DET
cana-4842	213	4	nature	nature	NOUN
cana-4842	213	5	of	of	ADP
cana-4842	213	6	these	these	DET
cana-4842	213	7	derived	derive	VERB
cana-4842	213	8	features	feature	NOUN
cana-4842	213	9	is	be	AUX
cana-4842	213	10	important	important	ADJ
cana-4842	213	11	in	in	ADP
cana-4842	213	12	understanding	understand	VERB
cana-4842	213	13	the	the	DET
cana-4842	213	14	given	give	VERB
cana-4842	213	15	structure	structure	NOUN
cana-4842	213	16	of	of	ADP
cana-4842	213	17	the	the	DET
cana-4842	213	18	network	network	NOUN
cana-4842	213	19	as	as	ADV
cana-4842	213	20	well	well	ADV
cana-4842	213	21	as	as	ADP
cana-4842	213	22	useful	useful	ADJ
cana-4842	213	23	for	for	ADP
cana-4842	213	24	detecting	detect	VERB
cana-4842	213	25	behavioral	behavioral	ADJ
cana-4842	213	26	anomalies	anomaly	NOUN
cana-4842	213	27	without	without	ADP
cana-4842	213	28	referring	refer	VERB
cana-4842	213	29	to	to	ADP
cana-4842	213	30	packet	packet	NOUN
cana-4842	213	31	contents	content	NOUN
cana-4842	213	32	.	.	PUNCT
cana-4842	214	1	for	for	ADP
cana-4842	214	2	this	this	DET
cana-4842	214	3	paper	paper	NOUN
cana-4842	214	4	,	,	PUNCT
cana-4842	214	5	two	two	NUM
cana-4842	214	6	popular	popular	ADJ
cana-4842	214	7	datasets	dataset	NOUN
cana-4842	214	8	that	that	PRON
cana-4842	214	9	are	be	AUX
cana-4842	214	10	employed	employ	VERB
cana-4842	214	11	as	as	ADP
cana-4842	214	12	benchmarks	benchmark	NOUN
cana-4842	214	13	in	in	ADP
cana-4842	214	14	the	the	DET
cana-4842	214	15	network	network	NOUN
cana-4842	214	16	intrusion	intrusion	NOUN
cana-4842	214	17	detection	detection	NOUN
cana-4842	214	18	domain	domain	NOUN
cana-4842	214	19	,	,	PUNCT
cana-4842	214	20	including	include	VERB
cana-4842	214	21	most	most	ADJ
cana-4842	214	22	network	network	NOUN
cana-4842	214	23	traffic	traffic	NOUN
cana-4842	214	24	scenarios	scenario	NOUN
cana-4842	214	25	covered	cover	VERB
cana-4842	214	26	by	by	ADP
cana-4842	214	27	both	both	CCONJ
cana-4842	214	28	the	the	DET
cana-4842	214	29	cicids	cicid	NOUN
cana-4842	214	30	2017	2017	NUM
cana-4842	214	31	and	and	CCONJ
cana-4842	214	32	unsw	unsw	NOUN
cana-4842	214	33	-	-	PUNCT
cana-4842	214	34	nb15	nb15	PROPN
cana-4842	214	35	datasets	dataset	NOUN
cana-4842	214	36	,	,	PUNCT
cana-4842	214	37	were	be	AUX
cana-4842	214	38	utilized	utilize	VERB
cana-4842	214	39	.	.	PUNCT
cana-4842	215	1	the	the	DET
cana-4842	215	2	canadian	canadian	PROPN
cana-4842	215	3	institute	institute	PROPN
cana-4842	215	4	for	for	ADP
cana-4842	215	5	cybersecurity	cybersecurity	NOUN
cana-4842	215	6	has	have	AUX
cana-4842	215	7	created	create	VERB
cana-4842	215	8	the	the	DET
cana-4842	215	9	cicids	cicid	NOUN
cana-4842	215	10	2017	2017	NUM
cana-4842	215	11	dataset	dataset	NOUN
cana-4842	215	12	,	,	PUNCT
cana-4842	215	13	with	with	ADP
cana-4842	215	14	a	a	DET
cana-4842	215	15	wellbalanced	wellbalanced	ADJ
cana-4842	215	16	mix	mix	NOUN
cana-4842	215	17	of	of	ADP
cana-4842	215	18	benign	benign	ADJ
cana-4842	215	19	and	and	CCONJ
cana-4842	215	20	malicious	malicious	ADJ
cana-4842	215	21	network	network	NOUN
cana-4842	215	22	flows	flow	VERB
cana-4842	215	23	.	.	PUNCT
cana-4842	216	1	it	it	PRON
cana-4842	216	2	simulates	simulate	VERB
cana-4842	216	3	real	real	ADJ
cana-4842	216	4	networks	network	NOUN
cana-4842	216	5	,	,	PUNCT
cana-4842	216	6	attacks	attack	NOUN
cana-4842	216	7	of	of	ADP
cana-4842	216	8	various	various	ADJ
cana-4842	216	9	types	type	NOUN
cana-4842	216	10	,	,	PUNCT
cana-4842	216	11	including	include	VERB
cana-4842	216	12	brute	brute	ADJ
cana-4842	216	13	-	-	PUNCT
cana-4842	216	14	force	force	NOUN
cana-4842	216	15	attacks	attack	NOUN
cana-4842	216	16	,	,	PUNCT
cana-4842	216	17	dos	do	NOUN
cana-4842	216	18	,	,	PUNCT
cana-4842	216	19	distributed	distribute	VERB
cana-4842	216	20	dos	do	NOUN
cana-4842	216	21	,	,	PUNCT
cana-4842	216	22	infiltration	infiltration	NOUN
cana-4842	216	23	,	,	PUNCT
cana-4842	216	24	botnet	botnet	NOUN
cana-4842	216	25	traffic	traffic	NOUN
cana-4842	216	26	,	,	PUNCT
cana-4842	216	27	and	and	CCONJ
cana-4842	216	28	web	web	NOUN
cana-4842	216	29	attacks	attack	NOUN
cana-4842	216	30	.	.	PUNCT
cana-4842	217	1	this	this	DET
cana-4842	217	2	data	datum	NOUN
cana-4842	217	3	includes	include	VERB
cana-4842	217	4	about	about	ADV
cana-4842	217	5	2.8	2.8	NUM
cana-4842	217	6	million	million	NUM
cana-4842	217	7	records	record	NOUN
cana-4842	217	8	across	across	ADP
cana-4842	217	9	the	the	DET
cana-4842	217	10	different	different	ADJ
cana-4842	217	11	features	feature	NOUN
cana-4842	217	12	that	that	PRON
cana-4842	217	13	include	include	VERB
cana-4842	217	14	source	source	NOUN
cana-4842	217	15	ips	ip	NOUN
cana-4842	217	16	,	,	PUNCT
cana-4842	217	17	destination	destination	NOUN
cana-4842	217	18	ips	ip	NOUN
cana-4842	217	19	,	,	PUNCT
cana-4842	217	20	time	time	NOUN
cana-4842	217	21	stamps	stamp	NOUN
cana-4842	217	22	,	,	PUNCT
cana-4842	217	23	types	type	NOUN
cana-4842	217	24	of	of	ADP
cana-4842	217	25	protocols	protocol	NOUN
cana-4842	217	26	,	,	PUNCT
cana-4842	217	27	packet	packet	NOUN
cana-4842	217	28	lengths	length	NOUN
cana-4842	217	29	,	,	PUNCT
cana-4842	217	30	connection	connection	NOUN
cana-4842	217	31	durations	duration	NOUN
cana-4842	217	32	,	,	PUNCT
cana-4842	217	33	and	and	CCONJ
cana-4842	217	34	even	even	ADV
cana-4842	217	35	flag	flag	NOUN
cana-4842	217	36	statuses	status	NOUN
cana-4842	217	37	,	,	PUNCT
cana-4842	217	38	therefore	therefore	ADV
cana-4842	217	39	allowing	allow	VERB
cana-4842	217	40	a	a	DET
cana-4842	217	41	granular	granular	ADJ
cana-4842	217	42	analysis	analysis	NOUN
cana-4842	217	43	of	of	ADP
cana-4842	217	44	network	network	NOUN
cana-4842	217	45	traffic	traffic	NOUN
cana-4842	217	46	patterns	pattern	NOUN
cana-4842	217	47	both	both	CCONJ
cana-4842	217	48	in	in	ADP
cana-4842	217	49	the	the	DET
cana-4842	217	50	encrypted	encrypt	VERB
cana-4842	217	51	and	and	CCONJ
cana-4842	217	52	unencrypted	unencrypted	ADJ
cana-4842	217	53	forms	form	NOUN
cana-4842	217	54	.	.	PUNCT
cana-4842	218	1	the	the	DET
cana-4842	218	2	unsw	unsw	PROPN
cana-4842	218	3	-	-	PUNCT
cana-4842	218	4	nb15	nb15	PROPN
cana-4842	218	5	dataset	dataset	NOUN
cana-4842	218	6	,	,	PUNCT
cana-4842	218	7	produced	produce	VERB
cana-4842	218	8	by	by	ADP
cana-4842	218	9	the	the	DET
cana-4842	218	10	australian	australian	ADJ
cana-4842	218	11	centre	centre	NOUN
cana-4842	218	12	for	for	ADP
cana-4842	218	13	cyber	cyber	ADJ
cana-4842	218	14	security	security	NOUN
cana-4842	218	15	(	(	PUNCT
cana-4842	218	16	accs	accs	PROPN
cana-4842	218	17	)	)	PUNCT
cana-4842	218	18	,	,	PUNCT
cana-4842	218	19	is	be	AUX
cana-4842	218	20	more	more	ADV
cana-4842	218	21	detailed	detailed	ADJ
cana-4842	218	22	than	than	ADP
cana-4842	218	23	the	the	DET
cana-4842	218	24	others	other	NOUN
cana-4842	218	25	because	because	SCONJ
cana-4842	218	26	it	it	PRON
cana-4842	218	27	has	have	VERB
cana-4842	218	28	a	a	DET
cana-4842	218	29	wider	wide	ADJ
cana-4842	218	30	range	range	NOUN
cana-4842	218	31	of	of	ADP
cana-4842	218	32	types	type	NOUN
cana-4842	218	33	of	of	ADP
cana-4842	218	34	attacks	attack	NOUN
cana-4842	218	35	:	:	PUNCT
cana-4842	218	36	backdoors	backdoor	NOUN
cana-4842	218	37	,	,	PUNCT
cana-4842	218	38	exploits	exploit	NOUN
cana-4842	218	39	,	,	PUNCT
cana-4842	218	40	worms	worm	NOUN
cana-4842	218	41	,	,	PUNCT
cana-4842	218	42	shellcode	shellcode	NOUN
cana-4842	218	43	,	,	PUNCT
cana-4842	218	44	and	and	CCONJ
cana-4842	218	45	reconnaissance	reconnaissance	NOUN
cana-4842	218	46	.	.	PUNCT
cana-4842	219	1	in	in	ADP
cana-4842	219	2	total	total	NOUN
cana-4842	219	3	,	,	PUNCT
cana-4842	219	4	the	the	DET
cana-4842	219	5	dataset	dataset	NOUN
cana-4842	219	6	comprises	comprise	VERB
cana-4842	219	7	about	about	ADV
cana-4842	219	8	2.5	2.5	NUM
cana-4842	219	9	million	million	NUM
cana-4842	219	10	records	record	NOUN
cana-4842	219	11	with	with	ADP
cana-4842	219	12	49	49	NUM
cana-4842	219	13	features	feature	NOUN
cana-4842	219	14	,	,	PUNCT
cana-4842	219	15	some	some	PRON
cana-4842	219	16	of	of	ADP
cana-4842	219	17	which	which	PRON
cana-4842	219	18	are	be	AUX
cana-4842	219	19	flow	flow	NOUN
cana-4842	219	20	-	-	PUNCT
cana-4842	219	21	based	base	VERB
cana-4842	219	22	and	and	CCONJ
cana-4842	219	23	some	some	DET
cana-4842	219	24	content	content	NOUN
cana-4842	219	25	-	-	PUNCT
cana-4842	219	26	based	base	VERB
cana-4842	219	27	,	,	PUNCT
cana-4842	219	28	including	include	VERB
cana-4842	219	29	the	the	DET
cana-4842	219	30	source	source	NOUN
cana-4842	219	31	and	and	CCONJ
cana-4842	219	32	destination	destination	NOUN
cana-4842	219	33	bytes	byte	NOUN
cana-4842	219	34	,	,	PUNCT
cana-4842	219	35	tcp	tcp	ADJ
cana-4842	219	36	flags	flag	NOUN
cana-4842	219	37	,	,	PUNCT
cana-4842	219	38	and	and	CCONJ
cana-4842	219	39	state	state	NOUN
cana-4842	219	40	transition	transition	NOUN
cana-4842	219	41	metrics	metric	NOUN
cana-4842	219	42	.	.	PUNCT
cana-4842	220	1	together	together	ADV
cana-4842	220	2	,	,	PUNCT
cana-4842	220	3	the	the	DET
cana-4842	220	4	datasets	dataset	NOUN
cana-4842	220	5	offer	offer	VERB
cana-4842	220	6	an	an	DET
cana-4842	220	7	overall	overall	ADJ
cana-4842	220	8	and	and	CCONJ
cana-4842	220	9	very	very	ADV
cana-4842	220	10	detailed	detailed	ADJ
cana-4842	220	11	spectrum	spectrum	NOUN
cana-4842	220	12	of	of	ADP
cana-4842	220	13	network	network	NOUN
cana-4842	220	14	behaviors	behavior	NOUN
cana-4842	220	15	and	and	CCONJ
cana-4842	220	16	attack	attack	NOUN
cana-4842	220	17	strategies	strategy	NOUN
cana-4842	220	18	.	.	PUNCT
cana-4842	221	1	this	this	PRON
cana-4842	221	2	will	will	AUX
cana-4842	221	3	create	create	VERB
cana-4842	221	4	an	an	DET
cana-4842	221	5	overall	overall	ADJ
cana-4842	221	6	large	large	ADJ
cana-4842	221	7	ground	ground	NOUN
cana-4842	221	8	for	for	ADP
cana-4842	221	9	the	the	DET
cana-4842	221	10	training	training	NOUN
cana-4842	221	11	and	and	CCONJ
cana-4842	221	12	validation	validation	NOUN
cana-4842	221	13	of	of	ADP
cana-4842	221	14	models	model	NOUN
cana-4842	221	15	in	in	ADP
cana-4842	221	16	encrypted	encrypt	VERB
cana-4842	221	17	traffic	traffic	NOUN
cana-4842	221	18	analysis	analysis	NOUN
cana-4842	221	19	.	.	PUNCT
cana-4842	222	1	moreover	moreover	ADV
cana-4842	222	2	,	,	PUNCT
cana-4842	222	3	this	this	DET
cana-4842	222	4	diversity	diversity	NOUN
cana-4842	222	5	and	and	CCONJ
cana-4842	222	6	granularity	granularity	NOUN
cana-4842	222	7	allow	allow	VERB
cana-4842	222	8	the	the	DET
cana-4842	222	9	model	model	NOUN
cana-4842	222	10	to	to	PART
cana-4842	222	11	learn	learn	VERB
cana-4842	222	12	different	different	ADJ
cana-4842	222	13	patterns	pattern	NOUN
cana-4842	222	14	of	of	ADP
cana-4842	222	15	traffic	traffic	NOUN
cana-4842	222	16	and	and	CCONJ
cana-4842	222	17	thus	thus	ADV
cana-4842	222	18	make	make	VERB
cana-4842	222	19	it	it	PRON
cana-4842	222	20	robust	robust	ADJ
cana-4842	222	21	against	against	ADP
cana-4842	222	22	diverse	diverse	ADJ
cana-4842	222	23	cyber	cyber	NOUN
cana-4842	222	24	threats	threat	NOUN
cana-4842	222	25	and	and	CCONJ
cana-4842	222	26	strengthen	strengthen	VERB
cana-4842	222	27	the	the	DET
cana-4842	222	28	capabilities	capability	NOUN
cana-4842	222	29	of	of	ADP
cana-4842	222	30	anomaly	anomaly	NOUN
cana-4842	222	31	-	-	PUNCT
cana-4842	222	32	based	base	VERB
cana-4842	222	33	models	model	NOUN
cana-4842	222	34	in	in	ADP
cana-4842	222	35	detecting	detect	VERB
cana-4842	222	36	malicious	malicious	ADJ
cana-4842	222	37	activity	activity	NOUN
cana-4842	222	38	in	in	ADP
cana-4842	222	39	real	real	ADJ
cana-4842	222	40	environments	environment	NOUN
cana-4842	222	41	with	with	ADP
cana-4842	222	42	encrypted	encrypt	VERB
cana-4842	222	43	networks	network	NOUN
cana-4842	222	44	.	.	PUNCT
cana-4842	223	1	during	during	ADP
cana-4842	223	2	training	training	NOUN
cana-4842	223	3	of	of	ADP
cana-4842	223	4	the	the	DET
cana-4842	223	5	model	model	NOUN
cana-4842	223	6	,	,	PUNCT
cana-4842	223	7	a	a	DET
cana-4842	223	8	number	number	NOUN
cana-4842	223	9	of	of	ADP
cana-4842	223	10	parameters	parameter	NOUN
cana-4842	223	11	set	set	VERB
cana-4842	223	12	up	up	ADP
cana-4842	223	13	to	to	PART
cana-4842	223	14	optimize	optimize	VERB
cana-4842	223	15	the	the	DET
cana-4842	223	16	learning	learning	NOUN
cana-4842	223	17	process	process	NOUN
cana-4842	223	18	.	.	PUNCT
cana-4842	224	1	for	for	ADP
cana-4842	224	2	instance	instance	NOUN
cana-4842	224	3	,	,	PUNCT
cana-4842	224	4	in	in	ADP
cana-4842	224	5	graphsage	graphsage	NOUN
cana-4842	224	6	,	,	PUNCT
cana-4842	224	7	sampling	sample	VERB
cana-4842	224	8	neighborhood	neighborhood	NOUN
cana-4842	224	9	size	size	NOUN
cana-4842	224	10	'	'	PUNCT
cana-4842	224	11	k	k	X
cana-4842	224	12	'	'	PUNCT
cana-4842	224	13	was	be	AUX
cana-4842	224	14	set	set	VERB
cana-4842	224	15	to	to	ADP
cana-4842	224	16	25	25	NUM
cana-4842	224	17	for	for	ADP
cana-4842	224	18	nodes	node	NOUN
cana-4842	224	19	and	and	CCONJ
cana-4842	224	20	embedding	embed	VERB
cana-4842	224	21	dimensions	dimension	NOUN
cana-4842	224	22	are	be	AUX
cana-4842	224	23	set	set	VERB
cana-4842	224	24	to	to	ADP
cana-4842	224	25	128	128	NUM
cana-4842	224	26	to	to	ADP
cana-4842	224	27	communications	communication	NOUN
cana-4842	224	28	on	on	ADP
cana-4842	224	29	applied	apply	VERB
cana-4842	224	30	nonlinear	nonlinear	ADJ
cana-4842	224	31	analysis	analysis	NOUN
cana-4842	224	32	issn	issn	NOUN
cana-4842	224	33	:	:	PUNCT
cana-4842	224	34	1074	1074	NUM
cana-4842	224	35	-	-	PUNCT
cana-4842	224	36	133x	133x	NUM
cana-4842	224	37	vol	vol	VERB
cana-4842	224	38	32	32	NUM
cana-4842	224	39	no	no	NOUN
cana-4842	224	40	.	.	PUNCT
cana-4842	225	1	10s	10	NOUN
cana-4842	225	2	(	(	PUNCT
cana-4842	225	3	2025	2025	NUM
cana-4842	225	4	)	)	PUNCT
cana-4842	225	5	479	479	NUM
cana-4842	226	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	226	2	balance	balance	NOUN
cana-4842	226	3	between	between	ADP
cana-4842	226	4	the	the	DET
cana-4842	226	5	richness	richness	NOUN
cana-4842	226	6	of	of	ADP
cana-4842	226	7	memory	memory	NOUN
cana-4842	226	8	efficiency	efficiency	NOUN
cana-4842	226	9	and	and	CCONJ
cana-4842	226	10	relational	relational	ADJ
cana-4842	226	11	features	feature	NOUN
cana-4842	226	12	.	.	PUNCT
cana-4842	227	1	simclr	simclr	NOUN
cana-4842	227	2	provides	provide	VERB
cana-4842	227	3	a	a	DET
cana-4842	227	4	batch	batch	NOUN
cana-4842	227	5	size	size	NOUN
cana-4842	227	6	to	to	PART
cana-4842	227	7	be	be	AUX
cana-4842	227	8	512	512	NUM
cana-4842	227	9	along	along	ADP
cana-4842	227	10	with	with	ADP
cana-4842	227	11	the	the	DET
cana-4842	227	12	temperature	temperature	NOUN
cana-4842	227	13	parameter	parameter	NOUN
cana-4842	227	14	τ\\\\tauτ	τ\\\\tauτ	PROPN
cana-4842	227	15	of	of	ADP
cana-4842	227	16	0.5	0.5	NUM
cana-4842	227	17	in	in	ADP
cana-4842	227	18	contrastive	contrastive	ADJ
cana-4842	227	19	loss	loss	NOUN
cana-4842	227	20	for	for	ADP
cana-4842	227	21	efficient	efficient	ADJ
cana-4842	227	22	separation	separation	NOUN
cana-4842	227	23	between	between	ADP
cana-4842	227	24	positive	positive	ADJ
cana-4842	227	25	and	and	CCONJ
cana-4842	227	26	negative	negative	ADJ
cana-4842	227	27	samples	sample	NOUN
cana-4842	227	28	in	in	ADP
cana-4842	227	29	high	high	ADJ
cana-4842	227	30	-	-	PUNCT
cana-4842	227	31	dimensional	dimensional	ADJ
cana-4842	227	32	space	space	NOUN
cana-4842	227	33	.	.	PUNCT
cana-4842	228	1	the	the	DET
cana-4842	228	2	temporal	temporal	ADJ
cana-4842	228	3	convolutional	convolutional	ADJ
cana-4842	228	4	transformer	transformer	NOUN
cana-4842	228	5	has	have	AUX
cana-4842	228	6	used	use	VERB
cana-4842	228	7	a	a	DET
cana-4842	228	8	kernel	kernel	NOUN
cana-4842	228	9	size	size	NOUN
cana-4842	228	10	of	of	ADP
cana-4842	228	11	3	3	NUM
cana-4842	228	12	for	for	ADP
cana-4842	228	13	temporal	temporal	ADJ
cana-4842	228	14	convolutions	convolution	NOUN
cana-4842	228	15	and	and	CCONJ
cana-4842	228	16	4	4	NUM
cana-4842	228	17	self	self	NOUN
cana-4842	228	18	-	-	PUNCT
cana-4842	228	19	attention	attention	NOUN
cana-4842	228	20	heads	head	NOUN
cana-4842	228	21	to	to	PART
cana-4842	228	22	capture	capture	VERB
cana-4842	228	23	localized	localized	ADJ
cana-4842	228	24	and	and	CCONJ
cana-4842	228	25	long	long	ADJ
cana-4842	228	26	-	-	PUNCT
cana-4842	228	27	term	term	NOUN
cana-4842	228	28	dependencies	dependency	NOUN
cana-4842	228	29	,	,	PUNCT
cana-4842	228	30	with	with	ADP
cana-4842	228	31	a	a	DET
cana-4842	228	32	maximum	maximum	ADJ
cana-4842	228	33	sequence	sequence	NOUN
cana-4842	228	34	length	length	NOUN
cana-4842	228	35	of	of	ADP
cana-4842	228	36	1000	1000	NUM
cana-4842	228	37	packets	packet	NOUN
cana-4842	228	38	per	per	ADP
cana-4842	228	39	flow	flow	NOUN
cana-4842	228	40	.	.	PUNCT
cana-4842	229	1	for	for	ADP
cana-4842	229	2	cyclegan	cyclegan	NOUN
cana-4842	229	3	,	,	PUNCT
cana-4842	229	4	a	a	DET
cana-4842	229	5	learning	learn	VERB
cana-4842	229	6	rate	rate	NOUN
cana-4842	229	7	of	of	ADP
cana-4842	229	8	0.0002	0.0002	NUM
cana-4842	229	9	on	on	ADP
cana-4842	229	10	generator	generator	NOUN
cana-4842	229	11	-	-	PUNCT
cana-4842	229	12	discriminator	discriminator	NOUN
cana-4842	229	13	is	be	AUX
cana-4842	229	14	applied	apply	VERB
cana-4842	229	15	while	while	SCONJ
cana-4842	229	16	50	50	NUM
cana-4842	229	17	epochs	epoch	NOUN
cana-4842	229	18	of	of	ADP
cana-4842	229	19	adversarial	adversarial	ADJ
cana-4842	229	20	training	training	NOUN
cana-4842	229	21	are	be	AUX
cana-4842	229	22	done	do	VERB
cana-4842	229	23	to	to	PART
cana-4842	229	24	produce	produce	VERB
cana-4842	229	25	synthetic	synthetic	ADJ
cana-4842	229	26	anomalies	anomaly	NOUN
cana-4842	229	27	that	that	PRON
cana-4842	229	28	mimic	mimic	VERB
cana-4842	229	29	real	real	ADJ
cana-4842	229	30	traffic	traffic	NOUN
cana-4842	229	31	patterns	pattern	NOUN
cana-4842	229	32	,	,	PUNCT
cana-4842	229	33	hence	hence	ADV
cana-4842	229	34	augmenting	augment	VERB
cana-4842	229	35	robustness	robustness	NOUN
cana-4842	229	36	against	against	ADP
cana-4842	229	37	previously	previously	ADV
cana-4842	229	38	unseen	unseen	ADJ
cana-4842	229	39	threats	threat	NOUN
cana-4842	229	40	.	.	PUNCT
cana-4842	230	1	the	the	DET
cana-4842	230	2	xgboost	xgboost	NOUN
cana-4842	230	3	is	be	AUX
cana-4842	230	4	configured	configure	VERB
cana-4842	230	5	to	to	ADP
cana-4842	230	6	500	500	NUM
cana-4842	230	7	trees	tree	NOUN
cana-4842	230	8	,	,	PUNCT
cana-4842	230	9	a	a	DET
cana-4842	230	10	maximum	maximum	ADJ
cana-4842	230	11	depth	depth	NOUN
cana-4842	230	12	of	of	ADP
cana-4842	230	13	6	6	NUM
cana-4842	230	14	,	,	PUNCT
cana-4842	230	15	and	and	CCONJ
cana-4842	230	16	a	a	DET
cana-4842	230	17	learning	learning	NOUN
cana-4842	230	18	rate	rate	NOUN
cana-4842	230	19	at	at	ADP
cana-4842	230	20	0.1	0.1	NUM
cana-4842	230	21	,	,	PUNCT
cana-4842	230	22	for	for	ADP
cana-4842	230	23	understandable	understandable	ADJ
cana-4842	230	24	,	,	PUNCT
cana-4842	230	25	nonlinear	nonlinear	ADJ
cana-4842	230	26	feature	feature	NOUN
cana-4842	230	27	interactions	interaction	NOUN
cana-4842	230	28	.	.	PUNCT
cana-4842	231	1	the	the	DET
cana-4842	231	2	lstm	lstm	NOUN
cana-4842	231	3	makes	make	VERB
cana-4842	231	4	use	use	NOUN
cana-4842	231	5	of	of	ADP
cana-4842	231	6	a	a	DET
cana-4842	231	7	hidden	hide	VERB
cana-4842	231	8	layer	layer	NOUN
cana-4842	231	9	size	size	NOUN
cana-4842	231	10	of	of	ADP
cana-4842	231	11	64	64	NUM
cana-4842	231	12	and	and	CCONJ
cana-4842	231	13	a	a	DET
cana-4842	231	14	time	time	NOUN
cana-4842	231	15	step	step	NOUN
cana-4842	231	16	at	at	ADP
cana-4842	231	17	10	10	NUM
cana-4842	231	18	,	,	PUNCT
cana-4842	231	19	which	which	PRON
cana-4842	231	20	would	would	AUX
cana-4842	231	21	be	be	AUX
cana-4842	231	22	suitable	suitable	ADJ
cana-4842	231	23	in	in	ADP
cana-4842	231	24	the	the	DET
cana-4842	231	25	modeling	modeling	NOUN
cana-4842	231	26	of	of	ADP
cana-4842	231	27	network	network	NOUN
cana-4842	231	28	-	-	PUNCT
cana-4842	231	29	traffic	traffic	NOUN
cana-4842	231	30	and	and	CCONJ
cana-4842	231	31	the	the	DET
cana-4842	231	32	subsequent	subsequent	ADJ
cana-4842	231	33	dependence	dependence	NOUN
cana-4842	231	34	it	it	PRON
cana-4842	231	35	carries	carry	VERB
cana-4842	231	36	.	.	PUNCT
cana-4842	232	1	finally	finally	ADV
cana-4842	232	2	,	,	PUNCT
cana-4842	232	3	the	the	DET
cana-4842	232	4	sem	sem	PROPN
cana-4842	232	5	model	model	NOUN
cana-4842	232	6	incorporates	incorporate	VERB
cana-4842	232	7	a	a	DET
cana-4842	232	8	structured	structured	ADJ
cana-4842	232	9	causal	causal	NOUN
cana-4842	232	10	inference	inference	NOUN
cana-4842	232	11	approach	approach	NOUN
cana-4842	232	12	which	which	PRON
cana-4842	232	13	sets	set	VERB
cana-4842	232	14	up	up	ADP
cana-4842	232	15	associations	association	NOUN
cana-4842	232	16	between	between	ADP
cana-4842	232	17	anomaly	anomaly	NOUN
cana-4842	232	18	scores	score	NOUN
cana-4842	232	19	and	and	CCONJ
cana-4842	232	20	the	the	DET
cana-4842	232	21	actual	actual	ADJ
cana-4842	232	22	feature	feature	NOUN
cana-4842	232	23	attributions	attribution	NOUN
cana-4842	232	24	,	,	PUNCT
cana-4842	232	25	thereby	thereby	ADV
cana-4842	232	26	enhancing	enhance	VERB
cana-4842	232	27	interpretability	interpretability	NOUN
cana-4842	232	28	during	during	ADP
cana-4842	232	29	the	the	DET
cana-4842	232	30	evaluation	evaluation	NOUN
cana-4842	232	31	period	period	NOUN
cana-4842	232	32	.	.	PUNCT
cana-4842	233	1	it	it	PRON
cana-4842	233	2	therefore	therefore	ADV
cana-4842	233	3	ensures	ensure	VERB
cana-4842	233	4	that	that	SCONJ
cana-4842	233	5	the	the	DET
cana-4842	233	6	model	model	NOUN
cana-4842	233	7	will	will	AUX
cana-4842	233	8	appropriately	appropriately	ADV
cana-4842	233	9	handle	handle	VERB
cana-4842	233	10	the	the	DET
cana-4842	233	11	dynamic	dynamic	ADJ
cana-4842	233	12	and	and	CCONJ
cana-4842	233	13	opaque	opaque	ADJ
cana-4842	233	14	nature	nature	NOUN
cana-4842	233	15	of	of	ADP
cana-4842	233	16	the	the	DET
cana-4842	233	17	encrypted	encrypt	VERB
cana-4842	233	18	traffic	traffic	NOUN
cana-4842	233	19	in	in	ADP
cana-4842	233	20	large	large	ADJ
cana-4842	233	21	-	-	PUNCT
cana-4842	233	22	scale	scale	NOUN
cana-4842	233	23	network	network	NOUN
cana-4842	233	24	environments	environment	NOUN
cana-4842	233	25	.	.	PUNCT
cana-4842	234	1	the	the	DET
cana-4842	234	2	proposed	propose	VERB
cana-4842	234	3	model	model	NOUN
cana-4842	234	4	was	be	AUX
cana-4842	234	5	tested	test	VERB
cana-4842	234	6	on	on	ADP
cana-4842	234	7	both	both	DET
cana-4842	234	8	datasets	dataset	NOUN
cana-4842	234	9	,	,	PUNCT
cana-4842	234	10	cicids	cicid	NOUN
cana-4842	234	11	2017	2017	NUM
cana-4842	234	12	and	and	CCONJ
cana-4842	234	13	unsw	unsw	NOUN
cana-4842	234	14	-	-	PUNCT
cana-4842	234	15	nb15	nb15	PROPN
cana-4842	234	16	,	,	PUNCT
cana-4842	234	17	with	with	ADP
cana-4842	234	18	results	result	NOUN
cana-4842	234	19	benchmarked	benchmarke	VERB
cana-4842	234	20	to	to	ADP
cana-4842	234	21	three	three	NUM
cana-4842	234	22	comparative	comparative	ADJ
cana-4842	234	23	methods	method	NOUN
cana-4842	234	24	:	:	PUNCT
cana-4842	234	25	method	method	NOUN
cana-4842	234	26	[	[	X
cana-4842	234	27	3	3	NUM
cana-4842	234	28	]	]	PUNCT
cana-4842	234	29	,	,	PUNCT
cana-4842	234	30	method	method	NOUN
cana-4842	234	31	[	[	X
cana-4842	234	32	8	8	NUM
cana-4842	234	33	]	]	PUNCT
cana-4842	234	34	,	,	PUNCT
cana-4842	234	35	and	and	CCONJ
cana-4842	234	36	method	method	NOUN
cana-4842	234	37	[	[	X
cana-4842	234	38	18	18	NUM
cana-4842	234	39	]	]	PUNCT
cana-4842	234	40	.	.	PUNCT
cana-4842	235	1	these	these	PRON
cana-4842	235	2	are	be	AUX
cana-4842	235	3	baseline	baseline	ADJ
cana-4842	235	4	approaches	approach	NOUN
cana-4842	235	5	that	that	PRON
cana-4842	235	6	implement	implement	VERB
cana-4842	235	7	different	different	ADJ
cana-4842	235	8	settings	setting	NOUN
cana-4842	235	9	of	of	ADP
cana-4842	235	10	relational	relational	ADJ
cana-4842	235	11	embedding	embed	VERB
cana-4842	235	12	,	,	PUNCT
cana-4842	235	13	temporal	temporal	ADJ
cana-4842	235	14	learning	learning	NOUN
cana-4842	235	15	,	,	PUNCT
cana-4842	235	16	and	and	CCONJ
cana-4842	235	17	feature	feature	NOUN
cana-4842	235	18	-	-	PUNCT
cana-4842	235	19	based	base	VERB
cana-4842	235	20	anomaly	anomaly	NOUN
cana-4842	235	21	detection	detection	NOUN
cana-4842	235	22	without	without	ADP
cana-4842	235	23	the	the	DET
cana-4842	235	24	integration	integration	NOUN
cana-4842	235	25	into	into	ADP
cana-4842	235	26	a	a	DET
cana-4842	235	27	multi	multi	ADJ
cana-4842	235	28	-	-	ADJ
cana-4842	235	29	dimensional	dimensional	ADJ
cana-4842	235	30	format	format	NOUN
cana-4842	235	31	as	as	SCONJ
cana-4842	235	32	presented	present	VERB
cana-4842	235	33	by	by	ADP
cana-4842	235	34	the	the	DET
cana-4842	235	35	proposed	propose	VERB
cana-4842	235	36	model	model	NOUN
cana-4842	235	37	.	.	PUNCT
cana-4842	236	1	the	the	DET
cana-4842	236	2	given	give	VERB
cana-4842	236	3	assessment	assessment	NOUN
cana-4842	236	4	metrics	metric	NOUN
cana-4842	236	5	include	include	VERB
cana-4842	236	6	detection	detection	NOUN
cana-4842	236	7	accuracy	accuracy	NOUN
cana-4842	236	8	,	,	PUNCT
cana-4842	236	9	precision	precision	NOUN
cana-4842	236	10	,	,	PUNCT
cana-4842	236	11	recall	recall	NOUN
cana-4842	236	12	,	,	PUNCT
cana-4842	236	13	f1	f1	NOUN
cana-4842	236	14	-	-	PUNCT
cana-4842	236	15	score	score	NOUN
cana-4842	236	16	,	,	PUNCT
cana-4842	236	17	false	false	ADJ
cana-4842	236	18	positive	positive	ADJ
cana-4842	236	19	rate	rate	NOUN
cana-4842	236	20	(	(	PUNCT
cana-4842	236	21	fpr	fpr	NOUN
cana-4842	236	22	)	)	PUNCT
cana-4842	236	23	,	,	PUNCT
cana-4842	236	24	and	and	CCONJ
cana-4842	236	25	interpretability	interpretability	NOUN
cana-4842	236	26	score	score	NOUN
cana-4842	236	27	levels	level	NOUN
cana-4842	236	28	.	.	PUNCT
cana-4842	237	1	the	the	DET
cana-4842	237	2	interpretability	interpretability	NOUN
cana-4842	237	3	score	score	NOUN
cana-4842	237	4	reflects	reflect	VERB
cana-4842	237	5	the	the	DET
cana-4842	237	6	extent	extent	NOUN
cana-4842	237	7	to	to	PART
cana-4842	237	8	which	which	PRON
cana-4842	237	9	each	each	DET
cana-4842	237	10	model	model	NOUN
cana-4842	237	11	can	can	AUX
cana-4842	237	12	give	give	VERB
cana-4842	237	13	meaningful	meaningful	ADJ
cana-4842	237	14	,	,	PUNCT
cana-4842	237	15	causal	causal	ADJ
cana-4842	237	16	explanations	explanation	NOUN
cana-4842	237	17	for	for	ADP
cana-4842	237	18	its	its	PRON
cana-4842	237	19	anomaly	anomaly	NOUN
cana-4842	237	20	detections	detection	NOUN
cana-4842	237	21	:	:	PUNCT
cana-4842	237	22	that	that	PRON
cana-4842	237	23	is	be	AUX
cana-4842	237	24	an	an	DET
cana-4842	237	25	important	important	ADJ
cana-4842	237	26	ingredient	ingredient	NOUN
cana-4842	237	27	for	for	ADP
cana-4842	237	28	applications	application	NOUN
cana-4842	237	29	in	in	ADP
cana-4842	237	30	security	security	NOUN
cana-4842	237	31	levels	level	NOUN
cana-4842	237	32	.	.	PUNCT
cana-4842	238	1	figure	figure	NOUN
cana-4842	238	2	2	2	NUM
cana-4842	238	3	.	.	PUNCT
cana-4842	238	4	integrated	integrate	VERB
cana-4842	238	5	visual	visual	ADJ
cana-4842	238	6	analysis	analysis	NOUN
cana-4842	238	7	of	of	ADP
cana-4842	238	8	the	the	DET
cana-4842	238	9	proposed	propose	VERB
cana-4842	238	10	process	process	NOUN
cana-4842	238	11	communications	communication	NOUN
cana-4842	238	12	on	on	ADP
cana-4842	238	13	applied	apply	VERB
cana-4842	238	14	nonlinear	nonlinear	ADJ
cana-4842	238	15	analysis	analysis	NOUN
cana-4842	238	16	issn	issn	NOUN
cana-4842	238	17	:	:	PUNCT
cana-4842	238	18	1074	1074	NUM
cana-4842	238	19	-	-	PUNCT
cana-4842	238	20	133x	133x	NUM
cana-4842	238	21	vol	vol	VERB
cana-4842	238	22	32	32	NUM
cana-4842	238	23	no	no	NOUN
cana-4842	238	24	.	.	PUNCT
cana-4842	239	1	10s	10	NOUN
cana-4842	239	2	(	(	PUNCT
cana-4842	239	3	2025	2025	NUM
cana-4842	239	4	)	)	PUNCT
cana-4842	239	5	480	480	NUM
cana-4842	239	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	239	7	table	table	NOUN
cana-4842	239	8	2	2	NUM
cana-4842	239	9	:	:	PUNCT
cana-4842	239	10	detection	detection	NOUN
cana-4842	239	11	accuracy	accuracy	NOUN
cana-4842	239	12	comparison	comparison	NOUN
cana-4842	239	13	model	model	NOUN
cana-4842	239	14	cicids	cicid	NOUN
cana-4842	239	15	2017	2017	NUM
cana-4842	239	16	(	(	PUNCT
cana-4842	239	17	%	%	INTJ
cana-4842	239	18	)	)	PUNCT
cana-4842	239	19	unsw	unsw	PROPN
cana-4842	239	20	-	-	PUNCT
cana-4842	239	21	nb15	nb15	PROPN
cana-4842	239	22	(	(	PUNCT
cana-4842	239	23	%	%	INTJ
cana-4842	239	24	)	)	PUNCT
cana-4842	239	25	proposed	propose	VERB
cana-4842	239	26	model	model	NOUN
cana-4842	239	27	96.5	96.5	NUM
cana-4842	239	28	95.8	95.8	NUM
cana-4842	239	29	method	method	NOUN
cana-4842	239	30	[	[	X
cana-4842	239	31	3	3	NUM
cana-4842	239	32	]	]	SYM
cana-4842	239	33	91.2	91.2	NUM
cana-4842	239	34	89.7	89.7	NUM
cana-4842	239	35	method	method	NOUN
cana-4842	239	36	[	[	X
cana-4842	239	37	8	8	NUM
cana-4842	239	38	]	]	SYM
cana-4842	239	39	92.5	92.5	NUM
cana-4842	239	40	91.0	91.0	NUM
cana-4842	239	41	method	method	NOUN
cana-4842	239	42	[	[	X
cana-4842	239	43	18	18	NUM
cana-4842	239	44	]	]	SYM
cana-4842	239	45	90.8	90.8	NUM
cana-4842	239	46	89.2	89.2	NUM
cana-4842	239	47	table	table	NOUN
cana-4842	239	48	2	2	NUM
cana-4842	239	49	provides	provide	VERB
cana-4842	239	50	the	the	DET
cana-4842	239	51	accuracy	accuracy	NOUN
cana-4842	239	52	of	of	ADP
cana-4842	239	53	the	the	DET
cana-4842	239	54	proposed	propose	VERB
cana-4842	239	55	model	model	NOUN
cana-4842	239	56	on	on	ADP
cana-4842	239	57	both	both	CCONJ
cana-4842	239	58	the	the	DET
cana-4842	239	59	datasets	dataset	NOUN
cana-4842	239	60	&	&	CCONJ
cana-4842	239	61	samples	sample	NOUN
cana-4842	239	62	.	.	PUNCT
cana-4842	240	1	the	the	DET
cana-4842	240	2	high	high	ADJ
cana-4842	240	3	accuracy	accuracy	NOUN
cana-4842	240	4	attained	attain	VERB
cana-4842	240	5	by	by	ADP
cana-4842	240	6	the	the	DET
cana-4842	240	7	proposed	propose	VERB
cana-4842	240	8	model	model	NOUN
cana-4842	240	9	in	in	ADP
cana-4842	240	10	cicids	cicid	NOUN
cana-4842	240	11	2017	2017	NUM
cana-4842	240	12	with	with	ADP
cana-4842	240	13	96.5	96.5	NUM
cana-4842	240	14	%	%	NOUN
cana-4842	240	15	and	and	CCONJ
cana-4842	240	16	unsw	unsw	NOUN
cana-4842	240	17	-	-	PUNCT
cana-4842	240	18	nb15	nb15	PROPN
cana-4842	240	19	with	with	ADP
cana-4842	240	20	95.8	95.8	NUM
cana-4842	240	21	%	%	NOUN
cana-4842	240	22	is	be	AUX
cana-4842	240	23	due	due	ADJ
cana-4842	240	24	to	to	ADP
cana-4842	240	25	the	the	DET
cana-4842	240	26	embedding	embedding	NOUN
cana-4842	240	27	of	of	ADP
cana-4842	240	28	relational	relational	ADJ
cana-4842	240	29	,	,	PUNCT
cana-4842	240	30	temporal	temporal	ADJ
cana-4842	240	31	,	,	PUNCT
cana-4842	240	32	and	and	CCONJ
cana-4842	240	33	adversarial	adversarial	ADJ
cana-4842	240	34	insights	insight	NOUN
cana-4842	240	35	.	.	PUNCT
cana-4842	241	1	methods	method	NOUN
cana-4842	241	2	[	[	X
cana-4842	241	3	3	3	NUM
cana-4842	241	4	]	]	PUNCT
cana-4842	241	5	,	,	PUNCT
cana-4842	241	6	[	[	X
cana-4842	241	7	8	8	NUM
cana-4842	241	8	]	]	PUNCT
cana-4842	241	9	,	,	PUNCT
cana-4842	241	10	and	and	CCONJ
cana-4842	241	11	[	[	X
cana-4842	241	12	18	18	NUM
cana-4842	241	13	]	]	PUNCT
cana-4842	241	14	possess	possess	VERB
cana-4842	241	15	lesser	less	ADJ
cana-4842	241	16	accuracy	accuracy	NOUN
cana-4842	241	17	than	than	ADP
cana-4842	241	18	this	this	DET
cana-4842	241	19	one	one	NOUN
cana-4842	241	20	because	because	SCONJ
cana-4842	241	21	they	they	PRON
cana-4842	241	22	lack	lack	VERB
cana-4842	241	23	multiple	multiple	ADJ
cana-4842	241	24	-	-	PUNCT
cana-4842	241	25	dimensional	dimensional	ADJ
cana-4842	241	26	embeddings	embedding	NOUN
cana-4842	241	27	which	which	PRON
cana-4842	241	28	enhance	enhance	VERB
cana-4842	241	29	pattern	pattern	NOUN
cana-4842	241	30	recognition	recognition	NOUN
cana-4842	241	31	in	in	ADP
cana-4842	241	32	intricate	intricate	ADJ
cana-4842	241	33	network	network	NOUN
cana-4842	241	34	traffic	traffic	NOUN
cana-4842	241	35	.	.	PUNCT
cana-4842	242	1	figure	figure	NOUN
cana-4842	242	2	3	3	NUM
cana-4842	242	3	.	.	PUNCT
cana-4842	242	4	accuracy	accuracy	NOUN
cana-4842	242	5	analysis	analysis	NOUN
cana-4842	242	6	table	table	NOUN
cana-4842	242	7	3	3	NUM
cana-4842	242	8	:	:	PUNCT
cana-4842	242	9	precision	precision	NOUN
cana-4842	242	10	and	and	CCONJ
cana-4842	242	11	recall	recall	VERB
cana-4842	242	12	comparison	comparison	NOUN
cana-4842	242	13	model	model	NOUN
cana-4842	242	14	precision	precision	PROPN
cana-4842	242	15	(	(	PUNCT
cana-4842	242	16	cicids	cicid	NOUN
cana-4842	242	17	)	)	PUNCT
cana-4842	242	18	recall	recall	NOUN
cana-4842	242	19	(	(	PUNCT
cana-4842	242	20	cicids	cicid	NOUN
cana-4842	242	21	)	)	PUNCT
cana-4842	242	22	precision	precision	NOUN
cana-4842	242	23	(	(	PUNCT
cana-4842	242	24	unswnb15	unswnb15	NOUN
cana-4842	242	25	)	)	PUNCT
cana-4842	242	26	recall	recall	NOUN
cana-4842	242	27	(	(	PUNCT
cana-4842	242	28	unswnb15	unswnb15	NOUN
cana-4842	242	29	)	)	PUNCT
cana-4842	242	30	proposed	propose	VERB
cana-4842	242	31	model	model	NOUN
cana-4842	242	32	95.1	95.1	NUM
cana-4842	242	33	94.3	94.3	NUM
cana-4842	242	34	94.8	94.8	NUM
cana-4842	242	35	93.7	93.7	NUM
cana-4842	242	36	method	method	NOUN
cana-4842	242	37	[	[	X
cana-4842	242	38	3	3	X
cana-4842	242	39	]	]	SYM
cana-4842	242	40	88.9	88.9	NUM
cana-4842	242	41	87.2	87.2	NUM
cana-4842	242	42	89.5	89.5	NUM
cana-4842	242	43	86.4	86.4	NUM
cana-4842	242	44	method	method	NOUN
cana-4842	242	45	[	[	X
cana-4842	242	46	8	8	NUM
cana-4842	242	47	]	]	SYM
cana-4842	242	48	90.3	90.3	NUM
cana-4842	242	49	89.8	89.8	NUM
cana-4842	242	50	90.9	90.9	NUM
cana-4842	242	51	88.1	88.1	NUM
cana-4842	242	52	method	method	NOUN
cana-4842	242	53	[	[	X
cana-4842	242	54	18	18	NUM
cana-4842	242	55	]	]	SYM
cana-4842	242	56	87.8	87.8	NUM
cana-4842	242	57	85.5	85.5	NUM
cana-4842	242	58	88.2	88.2	NUM
cana-4842	242	59	85.0	85.0	NUM
cana-4842	242	60	communications	communication	NOUN
cana-4842	242	61	on	on	ADP
cana-4842	242	62	applied	apply	VERB
cana-4842	242	63	nonlinear	nonlinear	ADJ
cana-4842	242	64	analysis	analysis	NOUN
cana-4842	242	65	issn	issn	NOUN
cana-4842	242	66	:	:	PUNCT
cana-4842	242	67	1074	1074	NUM
cana-4842	242	68	-	-	PUNCT
cana-4842	242	69	133x	133x	NUM
cana-4842	242	70	vol	vol	VERB
cana-4842	242	71	32	32	NUM
cana-4842	242	72	no	no	NOUN
cana-4842	242	73	.	.	PUNCT
cana-4842	243	1	10s	10	NOUN
cana-4842	243	2	(	(	PUNCT
cana-4842	243	3	2025	2025	NUM
cana-4842	243	4	)	)	PUNCT
cana-4842	243	5	481	481	NUM
cana-4842	243	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	243	7	as	as	SCONJ
cana-4842	243	8	it	it	PRON
cana-4842	243	9	can	can	AUX
cana-4842	243	10	be	be	AUX
cana-4842	243	11	seen	see	VERB
cana-4842	243	12	from	from	ADP
cana-4842	243	13	table	table	NOUN
cana-4842	243	14	3	3	NUM
cana-4842	243	15	,	,	PUNCT
cana-4842	243	16	the	the	DET
cana-4842	243	17	proposed	propose	VERB
cana-4842	243	18	model	model	NOUN
cana-4842	243	19	balances	balance	VERB
cana-4842	243	20	both	both	DET
cana-4842	243	21	precision	precision	NOUN
cana-4842	243	22	and	and	CCONJ
cana-4842	243	23	recall	recall	NOUN
cana-4842	243	24	:	:	PUNCT
cana-4842	243	25	the	the	DET
cana-4842	243	26	balance	balance	NOUN
cana-4842	243	27	on	on	ADP
cana-4842	243	28	two	two	NUM
cana-4842	243	29	metrics	metric	NOUN
cana-4842	243	30	indicates	indicate	VERB
cana-4842	243	31	reliable	reliable	ADJ
cana-4842	243	32	true	true	ADJ
cana-4842	243	33	anomaly	anomaly	NOUN
cana-4842	243	34	detection	detection	NOUN
cana-4842	243	35	with	with	ADP
cana-4842	243	36	relatively	relatively	ADV
cana-4842	243	37	few	few	ADJ
cana-4842	243	38	missed	miss	VERB
cana-4842	243	39	detections	detection	NOUN
cana-4842	243	40	.	.	PUNCT
cana-4842	244	1	on	on	ADP
cana-4842	244	2	the	the	DET
cana-4842	244	3	other	other	ADJ
cana-4842	244	4	hand	hand	NOUN
cana-4842	244	5	,	,	PUNCT
cana-4842	244	6	method	method	NOUN
cana-4842	244	7	[	[	X
cana-4842	244	8	3	3	NUM
cana-4842	244	9	]	]	PUNCT
cana-4842	244	10	and	and	CCONJ
cana-4842	244	11	method	method	NOUN
cana-4842	245	1	[	[	X
cana-4842	245	2	18	18	NUM
cana-4842	245	3	]	]	PUNCT
cana-4842	245	4	get	get	VERB
cana-4842	245	5	lower	low	ADJ
cana-4842	245	6	recall	recall	NOUN
cana-4842	245	7	,	,	PUNCT
cana-4842	245	8	where	where	SCONJ
cana-4842	245	9	false	false	ADJ
cana-4842	245	10	negative	negative	ADJ
cana-4842	245	11	rates	rate	NOUN
cana-4842	245	12	are	be	AUX
cana-4842	245	13	higher	high	ADJ
cana-4842	245	14	.	.	PUNCT
cana-4842	246	1	the	the	DET
cana-4842	246	2	detection	detection	NOUN
cana-4842	246	3	performance	performance	NOUN
cana-4842	246	4	of	of	ADP
cana-4842	246	5	method	method	NOUN
cana-4842	246	6	[	[	X
cana-4842	246	7	8	8	NUM
cana-4842	246	8	]	]	PUNCT
cana-4842	246	9	is	be	AUX
cana-4842	246	10	quite	quite	ADV
cana-4842	246	11	mediocre	mediocre	ADJ
cana-4842	246	12	compared	compare	VERB
cana-4842	246	13	with	with	ADP
cana-4842	246	14	the	the	DET
cana-4842	246	15	proposed	propose	VERB
cana-4842	246	16	model	model	NOUN
cana-4842	246	17	.	.	PUNCT
cana-4842	247	1	figure	figure	VERB
cana-4842	247	2	4	4	NUM
cana-4842	247	3	.	.	NOUN
cana-4842	247	4	false	false	ADJ
cana-4842	247	5	positive	positive	ADJ
cana-4842	247	6	rate	rate	NOUN
cana-4842	247	7	analysis	analysis	NOUN
cana-4842	247	8	table	table	NOUN
cana-4842	247	9	4	4	NUM
cana-4842	247	10	:	:	PUNCT
cana-4842	247	11	f1	f1	ADJ
cana-4842	247	12	-	-	PUNCT
cana-4842	247	13	score	score	NOUN
cana-4842	247	14	comparison	comparison	NOUN
cana-4842	247	15	model	model	NOUN
cana-4842	247	16	f1	f1	NOUN
cana-4842	247	17	-	-	PUNCT
cana-4842	247	18	score	score	NOUN
cana-4842	247	19	(	(	PUNCT
cana-4842	247	20	cicids	cicid	NOUN
cana-4842	247	21	)	)	PUNCT
cana-4842	247	22	f1	f1	NOUN
cana-4842	247	23	-	-	PUNCT
cana-4842	247	24	score	score	NOUN
cana-4842	247	25	(	(	PUNCT
cana-4842	247	26	unsw	unsw	NOUN
cana-4842	247	27	-	-	PUNCT
cana-4842	247	28	nb15	nb15	PROPN
cana-4842	247	29	)	)	PUNCT
cana-4842	247	30	proposed	propose	VERB
cana-4842	247	31	model	model	NOUN
cana-4842	247	32	94.7	94.7	NUM
cana-4842	247	33	94.2	94.2	NUM
cana-4842	247	34	method	method	NOUN
cana-4842	247	35	[	[	X
cana-4842	247	36	3	3	NUM
cana-4842	247	37	]	]	SYM
cana-4842	247	38	88.0	88.0	NUM
cana-4842	247	39	87.9	87.9	NUM
cana-4842	247	40	method	method	NOUN
cana-4842	247	41	[	[	X
cana-4842	247	42	8	8	NUM
cana-4842	247	43	]	]	SYM
cana-4842	247	44	90.1	90.1	NUM
cana-4842	247	45	89.6	89.6	NUM
cana-4842	247	46	method	method	NOUN
cana-4842	247	47	[	[	X
cana-4842	247	48	18	18	NUM
cana-4842	247	49	]	]	SYM
cana-4842	247	50	86.6	86.6	NUM
cana-4842	247	51	85.7	85.7	NUM
cana-4842	247	52	table	table	NOUN
cana-4842	247	53	4	4	NUM
cana-4842	247	54	.	.	PUNCT
cana-4842	247	55	comparison	comparison	NOUN
cana-4842	247	56	of	of	ADP
cana-4842	247	57	f1	f1	NOUN
cana-4842	247	58	-	-	PUNCT
cana-4842	247	59	score	score	NOUN
cana-4842	247	60	with	with	ADP
cana-4842	247	61	emphasis	emphasis	NOUN
cana-4842	247	62	that	that	SCONJ
cana-4842	247	63	the	the	DET
cana-4842	247	64	proposed	propose	VERB
cana-4842	247	65	model	model	NOUN
cana-4842	247	66	retains	retain	VERB
cana-4842	247	67	a	a	DET
cana-4842	247	68	high	high	ADJ
cana-4842	247	69	harmonic	harmonic	ADJ
cana-4842	247	70	mean	mean	NOUN
cana-4842	247	71	of	of	ADP
cana-4842	247	72	precision	precision	NOUN
cana-4842	247	73	and	and	CCONJ
cana-4842	247	74	recall	recall	NOUN
cana-4842	247	75	.	.	PUNCT
cana-4842	248	1	its	its	PRON
cana-4842	248	2	f1	f1	NOUN
cana-4842	248	3	-	-	PUNCT
cana-4842	248	4	score	score	NOUN
cana-4842	248	5	is	be	AUX
cana-4842	248	6	94.7	94.7	NUM
cana-4842	248	7	%	%	NOUN
cana-4842	248	8	on	on	ADP
cana-4842	248	9	cicids	cicid	NOUN
cana-4842	248	10	2017	2017	NUM
cana-4842	248	11	and	and	CCONJ
cana-4842	248	12	94.2	94.2	NUM
cana-4842	248	13	%	%	NOUN
cana-4842	248	14	on	on	ADP
cana-4842	248	15	unsw	unsw	NOUN
cana-4842	248	16	-	-	PUNCT
cana-4842	248	17	nb15	nb15	PROPN
cana-4842	248	18	,	,	PUNCT
cana-4842	248	19	far	far	ADV
cana-4842	248	20	above	above	ADP
cana-4842	248	21	all	all	DET
cana-4842	248	22	baseline	baseline	ADJ
cana-4842	248	23	methods	method	NOUN
cana-4842	248	24	in	in	ADP
cana-4842	248	25	showing	show	VERB
cana-4842	248	26	good	good	ADJ
cana-4842	248	27	robustness	robustness	NOUN
cana-4842	248	28	in	in	ADP
cana-4842	248	29	balanced	balanced	ADJ
cana-4842	248	30	anomaly	anomaly	NOUN
cana-4842	248	31	detection	detection	NOUN
cana-4842	248	32	.	.	PUNCT
cana-4842	249	1	communications	communication	NOUN
cana-4842	249	2	on	on	ADP
cana-4842	249	3	applied	apply	VERB
cana-4842	249	4	nonlinear	nonlinear	ADJ
cana-4842	249	5	analysis	analysis	NOUN
cana-4842	249	6	issn	issn	NOUN
cana-4842	249	7	:	:	PUNCT
cana-4842	249	8	1074	1074	NUM
cana-4842	249	9	-	-	PUNCT
cana-4842	249	10	133x	133x	NUM
cana-4842	249	11	vol	vol	VERB
cana-4842	249	12	32	32	NUM
cana-4842	249	13	no	no	NOUN
cana-4842	249	14	.	.	PUNCT
cana-4842	250	1	10s	10	NOUN
cana-4842	250	2	(	(	PUNCT
cana-4842	250	3	2025	2025	NUM
cana-4842	250	4	)	)	PUNCT
cana-4842	250	5	482	482	NUM
cana-4842	250	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	250	7	table	table	NOUN
cana-4842	250	8	5	5	NUM
cana-4842	250	9	:	:	PUNCT
cana-4842	250	10	false	false	ADJ
cana-4842	250	11	positive	positive	ADJ
cana-4842	250	12	rate	rate	NOUN
cana-4842	250	13	(	(	PUNCT
cana-4842	250	14	fpr	fpr	NOUN
cana-4842	250	15	)	)	PUNCT
cana-4842	250	16	comparison	comparison	NOUN
cana-4842	250	17	model	model	NOUN
cana-4842	250	18	fpr	fpr	PROPN
cana-4842	250	19	(	(	PUNCT
cana-4842	250	20	cicids	cicid	NOUN
cana-4842	250	21	)	)	PUNCT
cana-4842	250	22	fpr	fpr	NOUN
cana-4842	250	23	(	(	PUNCT
cana-4842	250	24	unsw	unsw	NOUN
cana-4842	250	25	-	-	PUNCT
cana-4842	250	26	nb15	nb15	PROPN
cana-4842	250	27	)	)	PUNCT
cana-4842	250	28	proposed	propose	VERB
cana-4842	250	29	model	model	NOUN
cana-4842	250	30	3.4	3.4	NUM
cana-4842	250	31	3.8	3.8	NUM
cana-4842	250	32	method	method	NOUN
cana-4842	250	33	[	[	X
cana-4842	250	34	3	3	NUM
cana-4842	250	35	]	]	SYM
cana-4842	250	36	8.1	8.1	NUM
cana-4842	250	37	8.4	8.4	NUM
cana-4842	250	38	method	method	NOUN
cana-4842	250	39	[	[	X
cana-4842	250	40	8	8	NUM
cana-4842	250	41	]	]	SYM
cana-4842	250	42	7.3	7.3	NUM
cana-4842	250	43	6.9	6.9	NUM
cana-4842	250	44	method	method	NOUN
cana-4842	250	45	[	[	X
cana-4842	250	46	18	18	NUM
cana-4842	250	47	]	]	SYM
cana-4842	250	48	9.2	9.2	NUM
cana-4842	250	49	9.0	9.0	NUM
cana-4842	250	50	table	table	NOUN
cana-4842	250	51	5	5	NUM
cana-4842	250	52	the	the	DET
cana-4842	250	53	obtained	obtain	VERB
cana-4842	250	54	fprs	fprs	NOUN
cana-4842	250	55	of	of	ADP
cana-4842	250	56	the	the	DET
cana-4842	250	57	proposed	propose	VERB
cana-4842	250	58	method	method	NOUN
cana-4842	250	59	in	in	ADP
cana-4842	250	60	comparison	comparison	NOUN
cana-4842	250	61	with	with	ADP
cana-4842	250	62	other	other	ADJ
cana-4842	250	63	methods	method	NOUN
cana-4842	250	64	.	.	PUNCT
cana-4842	251	1	it	it	PRON
cana-4842	251	2	can	can	AUX
cana-4842	251	3	be	be	AUX
cana-4842	251	4	seen	see	VERB
cana-4842	251	5	that	that	SCONJ
cana-4842	251	6	the	the	DET
cana-4842	251	7	proposed	propose	VERB
cana-4842	251	8	model	model	NOUN
cana-4842	251	9	obtains	obtain	VERB
cana-4842	251	10	notably	notably	ADV
cana-4842	251	11	lower	low	ADJ
cana-4842	251	12	fpr	fpr	NOUN
cana-4842	251	13	values	value	NOUN
cana-4842	251	14	compared	compare	VERB
cana-4842	251	15	to	to	ADP
cana-4842	251	16	other	other	ADJ
cana-4842	251	17	methods	method	NOUN
cana-4842	251	18	;	;	PUNCT
cana-4842	251	19	this	this	PRON
cana-4842	251	20	is	be	AUX
cana-4842	251	21	mainly	mainly	ADV
cana-4842	251	22	because	because	SCONJ
cana-4842	251	23	of	of	ADP
cana-4842	251	24	the	the	DET
cana-4842	251	25	overall	overall	ADJ
cana-4842	251	26	embeddings	embedding	NOUN
cana-4842	251	27	and	and	CCONJ
cana-4842	251	28	adversarial	adversarial	ADJ
cana-4842	251	29	training	training	NOUN
cana-4842	251	30	by	by	ADP
cana-4842	251	31	cyclegan	cyclegan	NOUN
cana-4842	251	32	,	,	PUNCT
cana-4842	251	33	which	which	PRON
cana-4842	251	34	seems	seem	VERB
cana-4842	251	35	to	to	PART
cana-4842	251	36	get	get	VERB
cana-4842	251	37	a	a	DET
cana-4842	251	38	more	more	ADV
cana-4842	251	39	accurate	accurate	ADJ
cana-4842	251	40	distinction	distinction	NOUN
cana-4842	251	41	between	between	ADP
cana-4842	251	42	benign	benign	ADJ
cana-4842	251	43	and	and	CCONJ
cana-4842	251	44	malicious	malicious	ADJ
cana-4842	251	45	traffic	traffic	NOUN
cana-4842	251	46	.	.	PUNCT
cana-4842	252	1	table	table	NOUN
cana-4842	252	2	:	:	PUNCT
cana-4842	252	3	performance	performance	NOUN
cana-4842	252	4	metrics	metric	NOUN
cana-4842	252	5	are	be	AUX
cana-4842	252	6	evaluated	evaluate	VERB
cana-4842	252	7	for	for	ADP
cana-4842	252	8	cicids2017	cicids2017	PROPN
cana-4842	252	9	method	method	NOUN
cana-4842	252	10	accuracy	accuracy	NOUN
cana-4842	252	11	precision	precision	NOUN
cana-4842	252	12	precall	precall	NOUN
cana-4842	252	13	f1	f1	PROPN
cana-4842	252	14	score	score	NOUN
cana-4842	252	15	fpr	fpr	NOUN
cana-4842	252	16	is	be	AUX
cana-4842	252	17	rs	rs	PROPN
cana-4842	252	18	raterad	raterad	NOUN
cana-4842	252	19	96.5	96.5	NUM
cana-4842	252	20	95.1	95.1	NUM
cana-4842	252	21	94.3	94.3	NUM
cana-4842	252	22	94.7	94.7	NUM
cana-4842	252	23	3.4	3.4	NUM
cana-4842	252	24	9.5	9.5	NUM
cana-4842	252	25	9.2	9.2	NUM
cana-4842	253	1	[	[	X
cana-4842	253	2	3]zhou	3]zhou	NUM
cana-4842	253	3	,	,	PUNCT
cana-4842	253	4	z.	z.	PROPN
cana-4842	253	5	,et	,et	PUNCT
cana-4842	253	6	al	al	PROPN
cana-4842	253	7	91.2	91.2	NUM
cana-4842	253	8	88.9	88.9	NUM
cana-4842	253	9	87.2	87.2	NUM
cana-4842	253	10	88.0	88.0	NUM
cana-4842	253	11	8.1	8.1	NUM
cana-4842	253	12	5.0	5.0	NUM
cana-4842	253	13	5.8	5.8	NUM
cana-4842	254	1	[	[	X
cana-4842	254	2	8]papan	8]papan	NUM
cana-4842	254	3	ikolaou	ikolaou	NOUN
cana-4842	254	4	.	.	PROPN
cana-4842	254	5	,	,	PUNCT
cana-4842	254	6	et	et	PROPN
cana-4842	254	7	al	al	PROPN
cana-4842	254	8	92.5	92.5	NUM
cana-4842	254	9	90.3	90.3	NUM
cana-4842	254	10	89.8	89.8	NUM
cana-4842	254	11	90.1	90.1	NUM
cana-4842	254	12	7.3	7.3	NUM
cana-4842	254	13	6.5	6.5	NUM
cana-4842	254	14	6.3	6.3	NUM
cana-4842	255	1	[	[	X
cana-4842	255	2	18]iliya	18]iliya	NUM
cana-4842	255	3	su	su	PROPN
cana-4842	255	4	.	.	PROPN
cana-4842	255	5	,et	,et	PUNCT
cana-4842	256	1	al	al	PROPN
cana-4842	256	2	90.8	90.8	NUM
cana-4842	256	3	87.8	87.8	NUM
cana-4842	256	4	85.5	85.5	NUM
cana-4842	256	5	86.6	86.6	NUM
cana-4842	256	6	9.2	9.2	NUM
cana-4842	256	7	4.5	4.5	NUM
cana-4842	256	8	5.2	5.2	NUM
cana-4842	256	9	table	table	NOUN
cana-4842	256	10	6	6	NUM
cana-4842	256	11	gives	give	VERB
cana-4842	256	12	performance	performance	NOUN
cana-4842	256	13	metrics	metric	NOUN
cana-4842	256	14	comparison	comparison	NOUN
cana-4842	256	15	with	with	ADP
cana-4842	256	16	other	other	ADJ
cana-4842	256	17	models	model	NOUN
cana-4842	256	18	.	.	PUNCT
cana-4842	257	1	based	base	VERB
cana-4842	257	2	on	on	ADP
cana-4842	257	3	the	the	DET
cana-4842	257	4	above	above	ADJ
cana-4842	257	5	metrics	metric	NOUN
cana-4842	257	6	it	it	PRON
cana-4842	257	7	gives	give	VERB
cana-4842	257	8	the	the	DET
cana-4842	257	9	performance	performance	NOUN
cana-4842	257	10	with	with	ADP
cana-4842	257	11	cicids	cicid	NOUN
cana-4842	257	12	dataset	dataset	PROPN
cana-4842	257	13	.	.	PUNCT
cana-4842	258	1	the	the	DET
cana-4842	258	2	proposed	propose	VERB
cana-4842	258	3	model	model	NOUN
cana-4842	258	4	scores	score	NOUN
cana-4842	258	5	highly	highly	ADV
cana-4842	258	6	with	with	ADP
cana-4842	258	7	9.5	9.5	NUM
cana-4842	258	8	since	since	SCONJ
cana-4842	258	9	sem	sem	NOUN
cana-4842	258	10	allows	allow	VERB
cana-4842	258	11	for	for	ADP
cana-4842	258	12	causal	causal	ADJ
cana-4842	258	13	insights	insight	NOUN
cana-4842	258	14	into	into	ADP
cana-4842	258	15	detected	detect	VERB
cana-4842	258	16	anomalies	anomaly	NOUN
cana-4842	258	17	.	.	PUNCT
cana-4842	259	1	methods	method	NOUN
cana-4842	259	2	[	[	X
cana-4842	259	3	3	3	NUM
cana-4842	259	4	]	]	PUNCT
cana-4842	259	5	,	,	PUNCT
cana-4842	259	6	[	[	X
cana-4842	259	7	8	8	NUM
cana-4842	259	8	]	]	PUNCT
cana-4842	259	9	and	and	CCONJ
cana-4842	259	10	[	[	X
cana-4842	259	11	18	18	NUM
cana-4842	259	12	]	]	PUNCT
cana-4842	259	13	offer	offer	VERB
cana-4842	259	14	lower	low	ADJ
cana-4842	259	15	scores	score	NOUN
cana-4842	259	16	regarding	regard	VERB
cana-4842	259	17	interpretability	interpretability	NOUN
cana-4842	259	18	:	:	PUNCT
cana-4842	259	19	they	they	PRON
cana-4842	259	20	do	do	AUX
cana-4842	259	21	not	not	PART
cana-4842	259	22	apply	apply	VERB
cana-4842	259	23	causal	causal	ADJ
cana-4842	259	24	modeling	modeling	NOUN
cana-4842	259	25	techniques	technique	NOUN
cana-4842	259	26	.	.	PUNCT
cana-4842	260	1	table	table	NOUN
cana-4842	260	2	7	7	NUM
cana-4842	260	3	:	:	PUNCT
cana-4842	260	4	performance	performance	NOUN
cana-4842	260	5	metrics	metric	NOUN
cana-4842	260	6	are	be	AUX
cana-4842	260	7	evaluated	evaluate	VERB
cana-4842	260	8	for	for	ADP
cana-4842	260	9	unsw	unsw	NOUN
cana-4842	260	10	-	-	PUNCT
cana-4842	260	11	nb15	nb15	PROPN
cana-4842	260	12	method	method	NOUN
cana-4842	260	13	accuracy	accuracy	NOUN
cana-4842	260	14	precision	precision	NOUN
cana-4842	260	15	precall	precall	NOUN
cana-4842	260	16	f1	f1	PROPN
cana-4842	260	17	score	score	NOUN
cana-4842	260	18	fpr	fpr	NOUN
cana-4842	260	19	is	be	AUX
cana-4842	260	20	rs	rs	NOUN
cana-4842	260	21	raterad	raterad	NOUN
cana-4842	260	22	95.8	95.8	NUM
cana-4842	260	23	94.8	94.8	NUM
cana-4842	260	24	93.7	93.7	NUM
cana-4842	260	25	94.2	94.2	NUM
cana-4842	261	1	3.8	3.8	NUM
cana-4842	261	2	9.5	9.5	NUM
cana-4842	261	3	9.2	9.2	NUM
cana-4842	262	1	[	[	X
cana-4842	262	2	3]zhou	3]zhou	NUM
cana-4842	262	3	,	,	PUNCT
cana-4842	262	4	z.	z.	PROPN
cana-4842	262	5	,et	,et	PUNCT
cana-4842	262	6	al	al	PROPN
cana-4842	262	7	89.7	89.7	NUM
cana-4842	262	8	89.5	89.5	NUM
cana-4842	262	9	86.4	86.4	NUM
cana-4842	262	10	87.9	87.9	NUM
cana-4842	262	11	8.4	8.4	NUM
cana-4842	262	12	5.0	5.0	NUM
cana-4842	262	13	5.8	5.8	NUM
cana-4842	262	14	communications	communication	NOUN
cana-4842	262	15	on	on	ADP
cana-4842	262	16	applied	apply	VERB
cana-4842	262	17	nonlinear	nonlinear	ADJ
cana-4842	262	18	analysis	analysis	NOUN
cana-4842	262	19	issn	issn	NOUN
cana-4842	262	20	:	:	PUNCT
cana-4842	262	21	1074	1074	NUM
cana-4842	262	22	-	-	PUNCT
cana-4842	262	23	133x	133x	NUM
cana-4842	262	24	vol	vol	VERB
cana-4842	262	25	32	32	NUM
cana-4842	262	26	no	no	NOUN
cana-4842	262	27	.	.	PUNCT
cana-4842	263	1	10s	10	NOUN
cana-4842	263	2	(	(	PUNCT
cana-4842	263	3	2025	2025	NUM
cana-4842	263	4	)	)	PUNCT
cana-4842	263	5	483	483	NUM
cana-4842	263	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	264	1	[	[	X
cana-4842	264	2	8]papan	8]papan	NUM
cana-4842	264	3	ikolaou	ikolaou	NOUN
cana-4842	264	4	.	.	PROPN
cana-4842	264	5	,	,	PUNCT
cana-4842	264	6	et	et	PROPN
cana-4842	264	7	al	al	PROPN
cana-4842	264	8	91.0	91.0	NUM
cana-4842	264	9	90.9	90.9	NUM
cana-4842	264	10	88.1	88.1	NUM
cana-4842	264	11	89.6	89.6	NUM
cana-4842	264	12	6.9	6.9	NUM
cana-4842	264	13	6.5	6.5	NUM
cana-4842	264	14	6.3	6.3	NUM
cana-4842	265	1	[	[	X
cana-4842	265	2	18]iliya	18]iliya	NUM
cana-4842	265	3	su	su	PROPN
cana-4842	265	4	.	.	PROPN
cana-4842	265	5	,et	,et	PUNCT
cana-4842	266	1	al	al	PROPN
cana-4842	266	2	89.2	89.2	NUM
cana-4842	266	3	88.2	88.2	NUM
cana-4842	266	4	85.0	85.0	NUM
cana-4842	266	5	85.7	85.7	NUM
cana-4842	266	6	9.0	9.0	NUM
cana-4842	266	7	4.5	4.5	NUM
cana-4842	266	8	5.2	5.2	NUM
cana-4842	266	9	table	table	NOUN
cana-4842	266	10	7	7	NUM
cana-4842	266	11	gives	give	VERB
cana-4842	266	12	performance	performance	NOUN
cana-4842	266	13	metrics	metric	NOUN
cana-4842	266	14	based	base	VERB
cana-4842	266	15	on	on	ADP
cana-4842	266	16	confusion	confusion	NOUN
cana-4842	266	17	matrix	matrix	NOUN
cana-4842	266	18	with	with	ADP
cana-4842	266	19	unsw	unsw	NOUN
cana-4842	266	20	-	-	PUNCT
cana-4842	266	21	nb15	nb15	PROPN
cana-4842	266	22	for	for	ADP
cana-4842	266	23	the	the	DET
cana-4842	266	24	proposed	propose	VERB
cana-4842	266	25	model	model	NOUN
cana-4842	266	26	,	,	PUNCT
cana-4842	266	27	getting	get	VERB
cana-4842	266	28	the	the	DET
cana-4842	266	29	best	good	ADJ
cana-4842	266	30	score	score	NOUN
cana-4842	266	31	since	since	SCONJ
cana-4842	266	32	it	it	PRON
cana-4842	266	33	makes	make	VERB
cana-4842	266	34	use	use	NOUN
cana-4842	266	35	of	of	ADP
cana-4842	266	36	synthetic	synthetic	ADJ
cana-4842	266	37	anomalies	anomaly	NOUN
cana-4842	266	38	created	create	VERB
cana-4842	266	39	through	through	ADP
cana-4842	266	40	cyclegan	cyclegan	NOUN
cana-4842	266	41	.	.	PUNCT
cana-4842	267	1	this	this	PRON
cana-4842	267	2	enhances	enhance	VERB
cana-4842	267	3	its	its	PRON
cana-4842	267	4	robustness	robustness	NOUN
cana-4842	267	5	to	to	ADP
cana-4842	267	6	unknown	unknown	ADJ
cana-4842	267	7	attacks	attack	NOUN
cana-4842	267	8	while	while	SCONJ
cana-4842	267	9	methods	method	NOUN
cana-4842	267	10	[	[	X
cana-4842	267	11	3	3	NUM
cana-4842	267	12	]	]	PUNCT
cana-4842	267	13	,	,	PUNCT
cana-4842	267	14	[	[	X
cana-4842	267	15	8	8	NUM
cana-4842	267	16	]	]	PUNCT
cana-4842	267	17	,	,	PUNCT
cana-4842	267	18	and	and	CCONJ
cana-4842	267	19	[	[	X
cana-4842	267	20	18	18	NUM
cana-4842	267	21	]	]	PUNCT
cana-4842	267	22	obtain	obtain	VERB
cana-4842	267	23	lower	low	ADJ
cana-4842	267	24	scores	score	NOUN
cana-4842	267	25	,	,	PUNCT
cana-4842	267	26	thereby	thereby	ADV
cana-4842	267	27	reflecting	reflect	VERB
cana-4842	267	28	less	less	ADJ
cana-4842	267	29	generalization	generalization	NOUN
cana-4842	267	30	toward	toward	ADP
cana-4842	267	31	unseen	unseen	ADJ
cana-4842	267	32	or	or	CCONJ
cana-4842	267	33	sophisticated	sophisticated	ADJ
cana-4842	267	34	attacks	attack	NOUN
cana-4842	267	35	.	.	PUNCT
cana-4842	268	1	these	these	DET
cana-4842	268	2	results	result	NOUN
cana-4842	268	3	generally	generally	ADV
cana-4842	268	4	suggest	suggest	VERB
cana-4842	268	5	that	that	SCONJ
cana-4842	268	6	the	the	DET
cana-4842	268	7	proposed	propose	VERB
cana-4842	268	8	model	model	NOUN
cana-4842	268	9	provides	provide	VERB
cana-4842	268	10	superiority	superiority	NOUN
cana-4842	268	11	in	in	ADP
cana-4842	268	12	terms	term	NOUN
cana-4842	268	13	of	of	ADP
cana-4842	268	14	detection	detection	NOUN
cana-4842	268	15	accuracy	accuracy	NOUN
cana-4842	268	16	,	,	PUNCT
cana-4842	268	17	interpretability	interpretability	NOUN
cana-4842	268	18	,	,	PUNCT
cana-4842	268	19	and	and	CCONJ
cana-4842	268	20	robustness	robustness	NOUN
cana-4842	268	21	against	against	ADP
cana-4842	268	22	adversarial	adversarial	ADJ
cana-4842	268	23	attacks	attack	NOUN
cana-4842	268	24	when	when	SCONJ
cana-4842	268	25	in	in	ADP
cana-4842	268	26	essence	essence	NOUN
cana-4842	268	27	qualifying	qualify	VERB
cana-4842	268	28	the	the	DET
cana-4842	268	29	model	model	NOUN
cana-4842	268	30	for	for	ADP
cana-4842	268	31	use	use	NOUN
cana-4842	268	32	in	in	ADP
cana-4842	268	33	encrypted	encrypt	VERB
cana-4842	268	34	network	network	NOUN
cana-4842	268	35	anomaly	anomaly	NOUN
cana-4842	268	36	detection	detection	NOUN
cana-4842	268	37	.	.	PUNCT
cana-4842	269	1	the	the	DET
cana-4842	269	2	final	final	ADJ
cana-4842	269	3	section	section	NOUN
cana-4842	269	4	would	would	AUX
cana-4842	269	5	further	far	ADV
cana-4842	269	6	introduce	introduce	VERB
cana-4842	269	7	a	a	DET
cana-4842	269	8	use	use	NOUN
cana-4842	269	9	case	case	NOUN
cana-4842	269	10	for	for	ADP
cana-4842	269	11	iterative	iterative	NOUN
cana-4842	269	12	validation	validation	NOUN
cana-4842	269	13	of	of	ADP
cana-4842	269	14	the	the	DET
cana-4842	269	15	proposed	propose	VERB
cana-4842	269	16	model	model	NOUN
cana-4842	269	17	process	process	NOUN
cana-4842	269	18	.	.	PUNCT
cana-4842	270	1	validation	validation	NOUN
cana-4842	270	2	of	of	ADP
cana-4842	270	3	iterative	iterative	NOUN
cana-4842	270	4	process	process	NOUN
cana-4842	270	5	&	&	CCONJ
cana-4842	270	6	model	model	NOUN
cana-4842	270	7	using	use	VERB
cana-4842	270	8	practical	practical	ADJ
cana-4842	270	9	use	use	NOUN
cana-4842	270	10	case	case	NOUN
cana-4842	270	11	scenario	scenario	NOUN
cana-4842	270	12	analysis	analysis	NOUN
cana-4842	270	13	this	this	DET
cana-4842	270	14	section	section	NOUN
cana-4842	270	15	uses	use	VERB
cana-4842	270	16	a	a	DET
cana-4842	270	17	simulated	simulate	VERB
cana-4842	270	18	use	use	NOUN
cana-4842	270	19	case	case	NOUN
cana-4842	270	20	to	to	PART
cana-4842	270	21	demonstrate	demonstrate	VERB
cana-4842	270	22	the	the	DET
cana-4842	270	23	functionality	functionality	NOUN
cana-4842	270	24	and	and	CCONJ
cana-4842	270	25	output	output	NOUN
cana-4842	270	26	of	of	ADP
cana-4842	270	27	each	each	DET
cana-4842	270	28	model	model	NOUN
cana-4842	270	29	component	component	NOUN
cana-4842	270	30	as	as	ADP
cana-4842	270	31	an	an	DET
cana-4842	270	32	example	example	NOUN
cana-4842	270	33	of	of	ADP
cana-4842	270	34	encrypted	encrypt	VERB
cana-4842	270	35	network	network	NOUN
cana-4842	270	36	traffic	traffic	NOUN
cana-4842	270	37	data	datum	NOUN
cana-4842	270	38	passed	pass	VERB
cana-4842	270	39	through	through	ADP
cana-4842	270	40	each	each	DET
cana-4842	270	41	module	module	NOUN
cana-4842	270	42	:	:	PUNCT
cana-4842	270	43	graphsage	graphsage	NOUN
cana-4842	270	44	,	,	PUNCT
cana-4842	270	45	simclr	simclr	NOUN
cana-4842	270	46	,	,	PUNCT
cana-4842	270	47	temporal	temporal	ADJ
cana-4842	270	48	convolutional	convolutional	ADJ
cana-4842	270	49	transformer	transformer	NOUN
cana-4842	270	50	,	,	PUNCT
cana-4842	270	51	cyclegan	cyclegan	NOUN
cana-4842	270	52	,	,	PUNCT
cana-4842	270	53	xgboost	xgboost	X
cana-4842	270	54	with	with	ADP
cana-4842	270	55	lstm	lstm	NOUN
cana-4842	270	56	integration	integration	NOUN
cana-4842	270	57	,	,	PUNCT
cana-4842	270	58	and	and	CCONJ
cana-4842	270	59	causal	causal	ADJ
cana-4842	270	60	inference	inference	NOUN
cana-4842	270	61	with	with	ADP
cana-4842	270	62	sem	sem	NOUN
cana-4842	270	63	for	for	ADP
cana-4842	270	64	interpretability	interpretability	NOUN
cana-4842	270	65	.	.	PUNCT
cana-4842	271	1	below	below	ADV
cana-4842	271	2	are	be	AUX
cana-4842	271	3	each	each	DET
cana-4842	271	4	table	table	NOUN
cana-4842	271	5	giving	give	VERB
cana-4842	271	6	sample	sample	NOUN
cana-4842	271	7	values	value	NOUN
cana-4842	271	8	and	and	CCONJ
cana-4842	271	9	outputs	output	NOUN
cana-4842	271	10	of	of	ADP
cana-4842	271	11	key	key	ADJ
cana-4842	271	12	features	feature	NOUN
cana-4842	271	13	and	and	CCONJ
cana-4842	271	14	indicators	indicator	NOUN
cana-4842	271	15	for	for	ADP
cana-4842	271	16	a	a	DET
cana-4842	271	17	subset	subset	NOUN
cana-4842	271	18	of	of	ADP
cana-4842	271	19	network	network	NOUN
cana-4842	271	20	flows	flow	VERB
cana-4842	271	21	,	,	PUNCT
cana-4842	271	22	giving	give	VERB
cana-4842	271	23	you	you	PRON
cana-4842	271	24	a	a	DET
cana-4842	271	25	detailed	detailed	ADJ
cana-4842	271	26	view	view	NOUN
cana-4842	271	27	of	of	ADP
cana-4842	271	28	how	how	SCONJ
cana-4842	271	29	every	every	DET
cana-4842	271	30	bit	bit	NOUN
cana-4842	271	31	contributes	contribute	VERB
cana-4842	271	32	to	to	ADP
cana-4842	271	33	the	the	DET
cana-4842	271	34	overall	overall	ADJ
cana-4842	271	35	pipeline	pipeline	NOUN
cana-4842	271	36	of	of	ADP
cana-4842	271	37	detecting	detect	VERB
cana-4842	271	38	anomalies	anomaly	NOUN
cana-4842	271	39	.	.	PUNCT
cana-4842	272	1	this	this	DET
cana-4842	272	2	example	example	NOUN
cana-4842	272	3	gives	give	VERB
cana-4842	272	4	typical	typical	ADJ
cana-4842	272	5	network	network	NOUN
cana-4842	272	6	traffic	traffic	NOUN
cana-4842	272	7	parameters	parameter	NOUN
cana-4842	272	8	such	such	ADJ
cana-4842	272	9	as	as	ADP
cana-4842	272	10	node	node	ADJ
cana-4842	272	11	connectivity	connectivity	NOUN
cana-4842	272	12	,	,	PUNCT
cana-4842	272	13	packet	packet	NOUN
cana-4842	272	14	timings	timing	NOUN
cana-4842	272	15	,	,	PUNCT
cana-4842	272	16	and	and	CCONJ
cana-4842	272	17	flow	flow	NOUN
cana-4842	272	18	characteristics	characteristic	NOUN
cana-4842	272	19	with	with	ADP
cana-4842	272	20	intermediate	intermediate	ADJ
cana-4842	272	21	outputs	output	NOUN
cana-4842	272	22	corresponding	correspond	VERB
cana-4842	272	23	to	to	ADP
cana-4842	272	24	relational	relational	ADJ
cana-4842	272	25	,	,	PUNCT
cana-4842	272	26	temporal	temporal	ADJ
cana-4842	272	27	,	,	PUNCT
cana-4842	272	28	and	and	CCONJ
cana-4842	272	29	adversarial	adversarial	ADJ
cana-4842	272	30	aspects	aspect	NOUN
cana-4842	272	31	of	of	ADP
cana-4842	272	32	the	the	DET
cana-4842	272	33	processed	process	VERB
cana-4842	272	34	data	data	NOUN
cana-4842	272	35	samples	sample	NOUN
cana-4842	272	36	.	.	PUNCT
cana-4842	273	1	sample	sample	NOUN
cana-4842	273	2	and	and	CCONJ
cana-4842	273	3	entities	entity	NOUN
cana-4842	273	4	in	in	ADP
cana-4842	273	5	this	this	DET
cana-4842	273	6	practical	practical	ADJ
cana-4842	273	7	use	use	NOUN
cana-4842	273	8	case	case	NOUN
cana-4842	273	9	analysis	analysis	NOUN
cana-4842	273	10	have	have	AUX
cana-4842	273	11	been	be	AUX
cana-4842	273	12	derived	derive	VERB
cana-4842	273	13	from	from	ADP
cana-4842	273	14	real	real	ADJ
cana-4842	273	15	world	world	NOUN
cana-4842	273	16	networked	network	VERB
cana-4842	273	17	entities	entity	NOUN
cana-4842	273	18	,	,	PUNCT
cana-4842	273	19	which	which	PRON
cana-4842	273	20	belong	belong	VERB
cana-4842	273	21	to	to	ADP
cana-4842	273	22	both	both	DET
cana-4842	273	23	enterprise	enterprise	NOUN
cana-4842	273	24	as	as	ADV
cana-4842	273	25	well	well	ADV
cana-4842	273	26	as	as	ADP
cana-4842	273	27	public	public	ADJ
cana-4842	273	28	internet	internet	NOUN
cana-4842	273	29	environments	environment	NOUN
cana-4842	273	30	and	and	CCONJ
cana-4842	273	31	comprise	comprise	VERB
cana-4842	273	32	some	some	DET
cana-4842	273	33	common	common	ADJ
cana-4842	273	34	indicators	indicator	NOUN
cana-4842	273	35	such	such	ADJ
cana-4842	273	36	as	as	ADP
cana-4842	273	37	ip	ip	PRON
cana-4842	273	38	address	address	NOUN
cana-4842	273	39	,	,	PUNCT
cana-4842	273	40	device	device	NOUN
cana-4842	273	41	as	as	ADV
cana-4842	273	42	well	well	ADV
cana-4842	273	43	as	as	ADP
cana-4842	273	44	user	user	NOUN
cana-4842	273	45	session	session	NOUN
cana-4842	273	46	.	.	PUNCT
cana-4842	274	1	each	each	DET
cana-4842	274	2	sample	sample	NOUN
cana-4842	274	3	that	that	PRON
cana-4842	274	4	can	can	AUX
cana-4842	274	5	be	be	AUX
cana-4842	274	6	found	find	VERB
cana-4842	274	7	in	in	ADP
cana-4842	274	8	this	this	DET
cana-4842	274	9	collection	collection	NOUN
cana-4842	274	10	represents	represent	VERB
cana-4842	274	11	a	a	DET
cana-4842	274	12	network	network	NOUN
cana-4842	274	13	flow	flow	NOUN
cana-4842	274	14	that	that	PRON
cana-4842	274	15	may	may	AUX
cana-4842	274	16	include	include	VERB
cana-4842	274	17	source	source	NOUN
cana-4842	274	18	and	and	CCONJ
cana-4842	274	19	destination	destination	NOUN
cana-4842	274	20	ips	ip	NOUN
cana-4842	274	21	,	,	PUNCT
cana-4842	274	22	ports	port	NOUN
cana-4842	274	23	,	,	PUNCT
cana-4842	274	24	protocols	protocol	NOUN
cana-4842	274	25	,	,	PUNCT
cana-4842	274	26	durations	duration	NOUN
cana-4842	274	27	of	of	ADP
cana-4842	274	28	the	the	DET
cana-4842	274	29	connection	connection	NOUN
cana-4842	274	30	,	,	PUNCT
cana-4842	274	31	packet	packet	NOUN
cana-4842	274	32	sequence	sequence	NOUN
cana-4842	274	33	as	as	ADV
cana-4842	274	34	well	well	ADV
cana-4842	274	35	as	as	ADP
cana-4842	274	36	the	the	DET
cana-4842	274	37	average	average	ADJ
cana-4842	274	38	packet	packet	NOUN
cana-4842	274	39	sizes	size	NOUN
cana-4842	274	40	.	.	PUNCT
cana-4842	275	1	these	these	DET
cana-4842	275	2	features	feature	NOUN
cana-4842	275	3	can	can	AUX
cana-4842	275	4	express	express	VERB
cana-4842	275	5	basic	basic	ADJ
cana-4842	275	6	interactions	interaction	NOUN
cana-4842	275	7	between	between	ADP
cana-4842	275	8	clients	client	NOUN
cana-4842	275	9	and	and	CCONJ
cana-4842	275	10	server	server	NOUN
cana-4842	275	11	endpoints	endpoint	NOUN
cana-4842	275	12	in	in	ADP
cana-4842	275	13	the	the	DET
cana-4842	275	14	network	network	NOUN
cana-4842	275	15	,	,	PUNCT
cana-4842	275	16	which	which	PRON
cana-4842	275	17	then	then	ADV
cana-4842	275	18	characterize	characterize	VERB
cana-4842	275	19	benign	benign	NOUN
cana-4842	275	20	and	and	CCONJ
cana-4842	275	21	potentially	potentially	ADV
cana-4842	275	22	anomalous	anomalous	ADJ
cana-4842	275	23	behaviors	behavior	NOUN
cana-4842	275	24	.	.	PUNCT
cana-4842	276	1	thus	thus	ADV
cana-4842	276	2	,	,	PUNCT
cana-4842	276	3	samples	sample	NOUN
cana-4842	276	4	would	would	AUX
cana-4842	276	5	encompass	encompass	VERB
cana-4842	276	6	standard	standard	ADJ
cana-4842	276	7	web	web	NOUN
cana-4842	276	8	sessions	session	NOUN
cana-4842	276	9	,	,	PUNCT
cana-4842	276	10	file	file	NOUN
cana-4842	276	11	transfers	transfer	NOUN
cana-4842	276	12	,	,	PUNCT
cana-4842	276	13	and	and	CCONJ
cana-4842	276	14	email	email	NOUN
cana-4842	276	15	communications	communication	NOUN
cana-4842	276	16	,	,	PUNCT
cana-4842	276	17	all	all	PRON
cana-4842	276	18	mixed	mix	VERB
cana-4842	276	19	up	up	ADP
cana-4842	276	20	with	with	ADP
cana-4842	276	21	distinctive	distinctive	ADJ
cana-4842	276	22	patterns	pattern	NOUN
cana-4842	276	23	of	of	ADP
cana-4842	276	24	security	security	NOUN
cana-4842	276	25	threats	threat	NOUN
cana-4842	276	26	,	,	PUNCT
cana-4842	276	27	such	such	ADJ
cana-4842	276	28	as	as	ADP
cana-4842	276	29	brute	brute	ADJ
cana-4842	276	30	-	-	PUNCT
cana-4842	276	31	force	force	NOUN
cana-4842	276	32	login	login	NOUN
cana-4842	276	33	attempts	attempt	NOUN
cana-4842	276	34	,	,	PUNCT
cana-4842	276	35	port	port	NOUN
cana-4842	276	36	scanning	scanning	NOUN
cana-4842	276	37	,	,	PUNCT
cana-4842	276	38	and	and	CCONJ
cana-4842	276	39	exfiltration	exfiltration	NOUN
cana-4842	276	40	attacks	attack	NOUN
cana-4842	276	41	.	.	PUNCT
cana-4842	277	1	the	the	DET
cana-4842	277	2	specific	specific	ADJ
cana-4842	277	3	ip	ip	NOUN
cana-4842	277	4	nodes	node	NOUN
cana-4842	277	5	having	have	VERB
cana-4842	277	6	high	high	ADJ
cana-4842	277	7	degrees	degree	NOUN
cana-4842	277	8	of	of	ADP
cana-4842	277	9	connectivity	connectivity	NOUN
cana-4842	277	10	and	and	CCONJ
cana-4842	277	11	unusual	unusual	ADJ
cana-4842	277	12	packet	packet	NOUN
cana-4842	277	13	timing	timing	NOUN
cana-4842	277	14	intervals	interval	NOUN
cana-4842	277	15	act	act	VERB
cana-4842	277	16	as	as	ADP
cana-4842	277	17	foci	focus	NOUN
cana-4842	277	18	for	for	ADP
cana-4842	277	19	the	the	DET
cana-4842	277	20	detection	detection	NOUN
cana-4842	277	21	of	of	ADP
cana-4842	277	22	structural	structural	ADJ
cana-4842	277	23	and	and	CCONJ
cana-4842	277	24	behavioral	behavioral	ADJ
cana-4842	277	25	anomalies	anomaly	NOUN
cana-4842	277	26	.	.	PUNCT
cana-4842	278	1	the	the	DET
cana-4842	278	2	configuration	configuration	NOUN
cana-4842	278	3	of	of	ADP
cana-4842	278	4	these	these	DET
cana-4842	278	5	elements	element	NOUN
cana-4842	278	6	has	have	AUX
cana-4842	278	7	been	be	AUX
cana-4842	278	8	primarily	primarily	ADV
cana-4842	278	9	designed	design	VERB
cana-4842	278	10	to	to	PART
cana-4842	278	11	be	be	AUX
cana-4842	278	12	akin	akin	ADJ
cana-4842	278	13	to	to	ADP
cana-4842	278	14	real	real	ADJ
cana-4842	278	15	operational	operational	ADJ
cana-4842	278	16	environments	environment	NOUN
cana-4842	278	17	and	and	CCONJ
cana-4842	278	18	covers	cover	VERB
cana-4842	278	19	all	all	DET
cana-4842	278	20	kinds	kind	NOUN
cana-4842	278	21	of	of	ADP
cana-4842	278	22	network	network	NOUN
cana-4842	278	23	transactions	transaction	NOUN
cana-4842	278	24	,	,	PUNCT
cana-4842	278	25	that	that	ADV
cana-4842	278	26	is	is	ADV
cana-4842	278	27	,	,	PUNCT
cana-4842	278	28	both	both	PRON
cana-4842	278	29	encrypted	encrypt	VERB
cana-4842	278	30	as	as	ADV
cana-4842	278	31	well	well	ADV
cana-4842	278	32	as	as	ADP
cana-4842	278	33	unencrypted	unencrypted	ADJ
cana-4842	278	34	ones	one	NOUN
cana-4842	278	35	,	,	PUNCT
cana-4842	278	36	so	so	SCONJ
cana-4842	278	37	the	the	DET
cana-4842	278	38	capabilities	capability	NOUN
cana-4842	278	39	of	of	ADP
cana-4842	278	40	this	this	DET
cana-4842	278	41	model	model	NOUN
cana-4842	278	42	for	for	ADP
cana-4842	278	43	detection	detection	NOUN
cana-4842	278	44	,	,	PUNCT
cana-4842	278	45	interpretation	interpretation	NOUN
cana-4842	278	46	,	,	PUNCT
cana-4842	278	47	and	and	CCONJ
cana-4842	278	48	management	management	NOUN
cana-4842	278	49	can	can	AUX
cana-4842	278	50	be	be	AUX
cana-4842	278	51	tested	test	VERB
cana-4842	278	52	holistically	holistically	ADV
cana-4842	278	53	across	across	ADP
cana-4842	278	54	diversified	diversified	ADJ
cana-4842	278	55	traffic	traffic	NOUN
cana-4842	278	56	types	type	NOUN
cana-4842	278	57	.	.	PUNCT
cana-4842	279	1	communications	communication	NOUN
cana-4842	279	2	on	on	ADP
cana-4842	279	3	applied	apply	VERB
cana-4842	279	4	nonlinear	nonlinear	ADJ
cana-4842	279	5	analysis	analysis	NOUN
cana-4842	279	6	issn	issn	NOUN
cana-4842	279	7	:	:	PUNCT
cana-4842	279	8	1074	1074	NUM
cana-4842	279	9	-	-	PUNCT
cana-4842	279	10	133x	133x	NUM
cana-4842	279	11	vol	vol	VERB
cana-4842	279	12	32	32	NUM
cana-4842	279	13	no	no	NOUN
cana-4842	279	14	.	.	PUNCT
cana-4842	280	1	10s	10	NOUN
cana-4842	280	2	(	(	PUNCT
cana-4842	280	3	2025	2025	NUM
cana-4842	280	4	)	)	PUNCT
cana-4842	280	5	484	484	NUM
cana-4842	280	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	280	7	table	table	NOUN
cana-4842	280	8	8	8	NUM
cana-4842	280	9	:	:	PUNCT
cana-4842	280	10	graphsage	graphsage	VERB
cana-4842	280	11	relational	relational	ADJ
cana-4842	280	12	embeddings	embedding	NOUN
cana-4842	280	13	node	node	VERB
cana-4842	280	14	i	i	PROPN
cana-4842	280	15	d	d	PROPN
cana-4842	280	16	degree	degree	NOUN
cana-4842	280	17	neighborhood	neighborhood	NOUN
cana-4842	280	18	size	size	NOUN
cana-4842	280	19	aggregated	aggregate	VERB
cana-4842	280	20	feature	feature	NOUN
cana-4842	280	21	vector	vector	NOUN
cana-4842	280	22	(	(	PUNCT
cana-4842	280	23	sample	sample	NOUN
cana-4842	280	24	)	)	PUNCT
cana-4842	280	25	relational	relational	NOUN
cana-4842	280	26	embedding	embed	VERB
cana-4842	280	27	(	(	PUNCT
cana-4842	280	28	128	128	NUM
cana-4842	280	29	-	-	SYM
cana-4842	280	30	d	d	NOUN
cana-4842	280	31	)	)	PUNCT
cana-4842	280	32	101	101	NUM
cana-4842	280	33	15	15	NUM
cana-4842	280	34	10	10	NUM
cana-4842	280	35	[	[	X
cana-4842	280	36	0.23	0.23	NUM
cana-4842	280	37	,	,	PUNCT
cana-4842	280	38	0.45	0.45	NUM
cana-4842	280	39	,	,	PUNCT
cana-4842	280	40	0.12	0.12	NUM
cana-4842	280	41	,	,	PUNCT
cana-4842	280	42	...	...	PUNCT
cana-4842	280	43	,	,	PUNCT
cana-4842	281	1	0.58	0.58	NUM
cana-4842	281	2	]	]	PUNCT
cana-4842	282	1	[	[	X
cana-4842	282	2	0.12	0.12	NUM
cana-4842	282	3	,	,	PUNCT
cana-4842	282	4	-0.34	-0.34	NOUN
cana-4842	282	5	,	,	PUNCT
cana-4842	282	6	0.08	0.08	NUM
cana-4842	282	7	,	,	PUNCT
cana-4842	282	8	...	...	PUNCT
cana-4842	282	9	,	,	PUNCT
cana-4842	282	10	0.56	0.56	NUM
cana-4842	282	11	]	]	SYM
cana-4842	282	12	102	102	NUM
cana-4842	282	13	8	8	NUM
cana-4842	282	14	6	6	NUM
cana-4842	282	15	[	[	X
cana-4842	282	16	0.11	0.11	NUM
cana-4842	282	17	,	,	PUNCT
cana-4842	282	18	0.48	0.48	NUM
cana-4842	282	19	,	,	PUNCT
cana-4842	282	20	0.25	0.25	NUM
cana-4842	282	21	,	,	PUNCT
cana-4842	282	22	...	...	PUNCT
cana-4842	282	23	,	,	PUNCT
cana-4842	282	24	0.33	0.33	NUM
cana-4842	282	25	]	]	X
cana-4842	283	1	[	[	X
cana-4842	283	2	-0.15	-0.15	NUM
cana-4842	283	3	,	,	PUNCT
cana-4842	283	4	0.38	0.38	NUM
cana-4842	283	5	,	,	PUNCT
cana-4842	283	6	-0.12	-0.12	NUM
cana-4842	283	7	,	,	PUNCT
cana-4842	283	8	...	...	PUNCT
cana-4842	283	9	,	,	PUNCT
cana-4842	283	10	0.44	0.44	NUM
cana-4842	283	11	]	]	SYM
cana-4842	283	12	103	103	NUM
cana-4842	283	13	20	20	NUM
cana-4842	283	14	15	15	NUM
cana-4842	283	15	[	[	X
cana-4842	283	16	0.34	0.34	NUM
cana-4842	283	17	,	,	PUNCT
cana-4842	283	18	0.52	0.52	NUM
cana-4842	283	19	,	,	PUNCT
cana-4842	283	20	0.18	0.18	NUM
cana-4842	283	21	,	,	PUNCT
cana-4842	283	22	...	...	PUNCT
cana-4842	283	23	,	,	PUNCT
cana-4842	283	24	0.49	0.49	NUM
cana-4842	283	25	]	]	PUNCT
cana-4842	284	1	[	[	X
cana-4842	284	2	0.10	0.10	NUM
cana-4842	284	3	,	,	PUNCT
cana-4842	284	4	-0.40	-0.40	NOUN
cana-4842	284	5	,	,	PUNCT
cana-4842	284	6	0.15	0.15	NUM
cana-4842	284	7	,	,	PUNCT
cana-4842	284	8	...	...	PUNCT
cana-4842	284	9	,	,	PUNCT
cana-4842	284	10	0.53	0.53	NUM
cana-4842	284	11	]	]	PUNCT
cana-4842	284	12	graphsage	graphsage	NOUN
cana-4842	284	13	takes	take	VERB
cana-4842	284	14	the	the	DET
cana-4842	284	15	neighbourhood	neighbourhood	NOUN
cana-4842	284	16	connections	connection	NOUN
cana-4842	284	17	and	and	CCONJ
cana-4842	284	18	node	node	NOUN
cana-4842	284	19	features	feature	NOUN
cana-4842	284	20	for	for	ADP
cana-4842	284	21	each	each	DET
cana-4842	284	22	node	node	NOUN
cana-4842	284	23	to	to	PART
cana-4842	284	24	generate	generate	VERB
cana-4842	284	25	a	a	DET
cana-4842	284	26	relational	relational	ADJ
cana-4842	284	27	embedding	embed	VERB
cana-4842	284	28	in	in	ADP
cana-4842	284	29	the	the	DET
cana-4842	284	30	128	128	NUM
cana-4842	284	31	-	-	PUNCT
cana-4842	284	32	dimensional	dimensional	ADJ
cana-4842	284	33	space	space	NOUN
cana-4842	284	34	shown	show	VERB
cana-4842	284	35	in	in	ADP
cana-4842	284	36	table	table	NOUN
cana-4842	284	37	8	8	NUM
cana-4842	284	38	.	.	PUNCT
cana-4842	284	39	nodes	node	NOUN
cana-4842	284	40	with	with	ADP
cana-4842	284	41	higher	high	ADJ
cana-4842	284	42	degrees	degree	NOUN
cana-4842	284	43	and	and	CCONJ
cana-4842	284	44	larger	large	ADJ
cana-4842	284	45	neighbourhoods	neighbourhood	NOUN
cana-4842	284	46	usually	usually	ADV
cana-4842	284	47	hold	hold	VERB
cana-4842	284	48	complex	complex	ADJ
cana-4842	284	49	embeddings	embedding	NOUN
cana-4842	284	50	that	that	PRON
cana-4842	284	51	capture	capture	VERB
cana-4842	284	52	the	the	DET
cana-4842	284	53	more	more	ADV
cana-4842	284	54	important	important	ADJ
cana-4842	284	55	interaction	interaction	NOUN
cana-4842	284	56	patterns	pattern	NOUN
cana-4842	284	57	of	of	ADP
cana-4842	284	58	the	the	DET
cana-4842	284	59	network	network	NOUN
cana-4842	284	60	.	.	PUNCT
cana-4842	285	1	the	the	DET
cana-4842	285	2	embeddings	embedding	NOUN
cana-4842	285	3	,	,	PUNCT
cana-4842	285	4	therefore	therefore	ADV
cana-4842	285	5	,	,	PUNCT
cana-4842	285	6	bring	bring	VERB
cana-4842	285	7	out	out	ADP
cana-4842	285	8	the	the	DET
cana-4842	285	9	structural	structural	ADJ
cana-4842	285	10	relationships	relationship	NOUN
cana-4842	285	11	among	among	ADP
cana-4842	285	12	nodes	node	NOUN
cana-4842	285	13	,	,	PUNCT
cana-4842	285	14	which	which	PRON
cana-4842	285	15	are	be	AUX
cana-4842	285	16	critical	critical	ADJ
cana-4842	285	17	for	for	ADP
cana-4842	285	18	connectivity	connectivity	NOUN
cana-4842	285	19	patterns	pattern	NOUN
cana-4842	285	20	and	and	CCONJ
cana-4842	285	21	that	that	PRON
cana-4842	285	22	may	may	AUX
cana-4842	285	23	indicate	indicate	VERB
cana-4842	285	24	anomalies	anomaly	NOUN
cana-4842	285	25	.	.	PUNCT
cana-4842	286	1	table	table	NOUN
cana-4842	286	2	9	9	NUM
cana-4842	286	3	:	:	PUNCT
cana-4842	286	4	simclr	simclr	VERB
cana-4842	286	5	feature	feature	NOUN
cana-4842	286	6	embeddings	embedding	NOUN
cana-4842	286	7	sample	sample	NOUN
cana-4842	286	8	i	i	PROPN
cana-4842	286	9	d	d	PROPN
cana-4842	286	10	augmented	augment	VERB
cana-4842	286	11	feature	feature	NOUN
cana-4842	286	12	1	1	NUM
cana-4842	286	13	augmented	augment	VERB
cana-4842	286	14	feature	feature	NOUN
cana-4842	286	15	2	2	NUM
cana-4842	286	16	positive	positive	ADJ
cana-4842	286	17	pair	pair	NOUN
cana-4842	286	18	similarity	similarity	NOUN
cana-4842	286	19	embedding	embed	VERB
cana-4842	286	20	vector	vector	NOUN
cana-4842	286	21	(	(	PUNCT
cana-4842	286	22	128	128	NUM
cana-4842	286	23	-	-	SYM
cana-4842	286	24	d	d	NOUN
cana-4842	286	25	)	)	PUNCT
cana-4842	286	26	s1	s1	NOUN
cana-4842	286	27	0.34	0.34	NUM
cana-4842	286	28	0.29	0.29	NUM
cana-4842	286	29	0.85	0.85	NUM
cana-4842	287	1	[	[	X
cana-4842	287	2	0.10	0.10	NUM
cana-4842	287	3	,	,	PUNCT
cana-4842	287	4	0.14	0.14	NUM
cana-4842	287	5	,	,	PUNCT
cana-4842	287	6	-0.20	-0.20	NUM
cana-4842	287	7	,	,	PUNCT
cana-4842	287	8	...	...	PUNCT
cana-4842	287	9	,	,	PUNCT
cana-4842	287	10	0.53	0.53	NUM
cana-4842	287	11	]	]	PUNCT
cana-4842	287	12	s2	s2	NOUN
cana-4842	287	13	0.45	0.45	NUM
cana-4842	287	14	0.43	0.43	NUM
cana-4842	287	15	0.92	0.92	NUM
cana-4842	288	1	[	[	X
cana-4842	288	2	-0.11	-0.11	NUM
cana-4842	288	3	,	,	PUNCT
cana-4842	288	4	0.22	0.22	NUM
cana-4842	288	5	,	,	PUNCT
cana-4842	288	6	0.15	0.15	NUM
cana-4842	288	7	,	,	PUNCT
cana-4842	288	8	...	...	PUNCT
cana-4842	288	9	,	,	PUNCT
cana-4842	288	10	0.47	0.47	NUM
cana-4842	288	11	]	]	X
cana-4842	288	12	s3	s3	PROPN
cana-4842	288	13	0.31	0.31	NUM
cana-4842	288	14	0.36	0.36	NUM
cana-4842	288	15	0.87	0.87	NUM
cana-4842	288	16	[	[	X
cana-4842	288	17	0.08	0.08	NUM
cana-4842	288	18	,	,	PUNCT
cana-4842	288	19	-0.28	-0.28	NUM
cana-4842	288	20	,	,	PUNCT
cana-4842	288	21	0.10	0.10	NUM
cana-4842	288	22	,	,	PUNCT
cana-4842	288	23	...	...	PUNCT
cana-4842	288	24	,	,	PUNCT
cana-4842	288	25	0.51	0.51	NUM
cana-4842	288	26	]	]	PUNCT
cana-4842	288	27	simclr	simclr	NOUN
cana-4842	288	28	produces	produce	VERB
cana-4842	288	29	embeddings	embedding	NOUN
cana-4842	288	30	as	as	ADP
cana-4842	288	31	a	a	DET
cana-4842	288	32	function	function	NOUN
cana-4842	288	33	of	of	ADP
cana-4842	288	34	each	each	DET
cana-4842	288	35	sample	sample	NOUN
cana-4842	288	36	's	's	PART
cana-4842	288	37	augmented	augment	VERB
cana-4842	288	38	version	version	NOUN
cana-4842	288	39	;	;	PUNCT
cana-4842	288	40	it	it	PRON
cana-4842	288	41	maximizes	maximize	VERB
cana-4842	288	42	the	the	DET
cana-4842	288	43	similarity	similarity	NOUN
cana-4842	288	44	between	between	ADP
cana-4842	288	45	the	the	DET
cana-4842	288	46	positive	positive	ADJ
cana-4842	288	47	pairs	pair	NOUN
cana-4842	288	48	using	use	VERB
cana-4842	288	49	contrastive	contrastive	ADJ
cana-4842	288	50	learning	learning	NOUN
cana-4842	288	51	.	.	PUNCT
cana-4842	289	1	table	table	NOUN
cana-4842	289	2	9	9	NUM
cana-4842	289	3	illustrates	illustrate	VERB
cana-4842	289	4	the	the	DET
cana-4842	289	5	similarity	similarity	NOUN
cana-4842	289	6	scores	score	NOUN
cana-4842	289	7	and	and	CCONJ
cana-4842	289	8	obtained	obtain	VERB
cana-4842	289	9	embeddings	embedding	NOUN
cana-4842	289	10	.	.	PUNCT
cana-4842	290	1	the	the	DET
cana-4842	290	2	feature	feature	NOUN
cana-4842	290	3	-	-	PUNCT
cana-4842	290	4	rich	rich	ADJ
cana-4842	290	5	embedding	embed	VERB
cana-4842	290	6	learned	learn	VERB
cana-4842	290	7	by	by	ADP
cana-4842	290	8	these	these	DET
cana-4842	290	9	methods	method	NOUN
cana-4842	290	10	depicts	depict	VERB
cana-4842	290	11	the	the	DET
cana-4842	290	12	unique	unique	ADJ
cana-4842	290	13	flow	flow	NOUN
cana-4842	290	14	pattern	pattern	NOUN
cana-4842	290	15	in	in	ADP
cana-4842	290	16	high	high	ADJ
cana-4842	290	17	-	-	PUNCT
cana-4842	290	18	dimensional	dimensional	ADJ
cana-4842	290	19	space	space	NOUN
cana-4842	290	20	,	,	PUNCT
cana-4842	290	21	which	which	PRON
cana-4842	290	22	is	be	AUX
cana-4842	290	23	essential	essential	ADJ
cana-4842	290	24	for	for	ADP
cana-4842	290	25	detecting	detect	VERB
cana-4842	290	26	anomalous	anomalous	ADJ
cana-4842	290	27	behavior	behavior	NOUN
cana-4842	290	28	of	of	ADP
cana-4842	290	29	the	the	DET
cana-4842	290	30	network	network	NOUN
cana-4842	290	31	.	.	PUNCT
cana-4842	291	1	table	table	NOUN
cana-4842	291	2	10	10	NUM
cana-4842	291	3	:	:	PUNCT
cana-4842	291	4	temporal	temporal	ADJ
cana-4842	291	5	convolutional	convolutional	ADJ
cana-4842	291	6	transformer	transformer	ADJ
cana-4842	291	7	temporal	temporal	ADJ
cana-4842	291	8	embeddings	embedding	NOUN
cana-4842	291	9	flow	flow	NOUN
cana-4842	291	10	i	i	PROPN
cana-4842	291	11	d	d	PROPN
cana-4842	291	12	packet	packet	NOUN
cana-4842	291	13	sequence	sequence	NOUN
cana-4842	291	14	local	local	ADJ
cana-4842	291	15	temporal	temporal	ADJ
cana-4842	291	16	features	feature	VERB
cana-4842	291	17	attention	attention	NOUN
cana-4842	291	18	weights	weight	NOUN
cana-4842	291	19	(	(	PUNCT
cana-4842	291	20	self	self	NOUN
cana-4842	291	21	-	-	PUNCT
cana-4842	291	22	attention	attention	NOUN
cana-4842	291	23	)	)	PUNCT
cana-4842	291	24	temporal	temporal	ADJ
cana-4842	291	25	embedding	embed	VERB
cana-4842	291	26	(	(	PUNCT
cana-4842	291	27	64	64	NUM
cana-4842	291	28	-	-	PUNCT
cana-4842	291	29	d	d	NOUN
cana-4842	291	30	)	)	PUNCT
cana-4842	291	31	f1	f1	NOUN
cana-4842	291	32	[	[	X
cana-4842	291	33	0.12	0.12	NUM
cana-4842	291	34	,	,	PUNCT
cana-4842	291	35	0.20	0.20	NUM
cana-4842	291	36	,	,	PUNCT
cana-4842	291	37	...	...	PUNCT
cana-4842	291	38	]	]	PUNCT
cana-4842	292	1	[	[	X
cana-4842	292	2	0.35	0.35	NUM
cana-4842	292	3	,	,	PUNCT
cana-4842	292	4	0.42	0.42	NUM
cana-4842	292	5	,	,	PUNCT
cana-4842	292	6	...	...	PUNCT
cana-4842	292	7	]	]	PUNCT
cana-4842	293	1	[	[	X
cana-4842	293	2	0.25	0.25	NUM
cana-4842	293	3	,	,	PUNCT
cana-4842	293	4	0.15	0.15	NUM
cana-4842	293	5	,	,	PUNCT
cana-4842	293	6	...	...	PUNCT
cana-4842	293	7	,	,	PUNCT
cana-4842	293	8	0.30	0.30	NUM
cana-4842	293	9	]	]	PUNCT
cana-4842	294	1	[	[	X
cana-4842	294	2	0.21	0.21	NUM
cana-4842	294	3	,	,	PUNCT
cana-4842	294	4	-0.18	-0.18	PRON
cana-4842	294	5	,	,	PUNCT
cana-4842	294	6	0.07	0.07	NUM
cana-4842	294	7	,	,	PUNCT
cana-4842	294	8	...	...	PUNCT
cana-4842	294	9	,	,	PUNCT
cana-4842	294	10	0.40	0.40	NUM
cana-4842	294	11	]	]	PUNCT
cana-4842	294	12	communications	communication	NOUN
cana-4842	294	13	on	on	ADP
cana-4842	294	14	applied	apply	VERB
cana-4842	294	15	nonlinear	nonlinear	ADJ
cana-4842	294	16	analysis	analysis	NOUN
cana-4842	294	17	issn	issn	NOUN
cana-4842	294	18	:	:	PUNCT
cana-4842	294	19	1074	1074	NUM
cana-4842	294	20	-	-	PUNCT
cana-4842	294	21	133x	133x	NUM
cana-4842	294	22	vol	vol	VERB
cana-4842	294	23	32	32	NUM
cana-4842	294	24	no	no	NOUN
cana-4842	294	25	.	.	PUNCT
cana-4842	295	1	10s	10	NOUN
cana-4842	295	2	(	(	PUNCT
cana-4842	295	3	2025	2025	NUM
cana-4842	295	4	)	)	PUNCT
cana-4842	295	5	485	485	NUM
cana-4842	295	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	295	7	f2	f2	PROPN
cana-4842	295	8	[	[	X
cana-4842	295	9	0.14	0.14	NUM
cana-4842	295	10	,	,	PUNCT
cana-4842	295	11	0.18	0.18	NUM
cana-4842	295	12	,	,	PUNCT
cana-4842	295	13	...	...	PUNCT
cana-4842	295	14	]	]	PUNCT
cana-4842	296	1	[	[	X
cana-4842	296	2	0.29	0.29	NUM
cana-4842	296	3	,	,	PUNCT
cana-4842	296	4	0.38	0.38	NUM
cana-4842	296	5	,	,	PUNCT
cana-4842	296	6	...	...	PUNCT
cana-4842	296	7	]	]	PUNCT
cana-4842	297	1	[	[	X
cana-4842	297	2	0.18	0.18	NUM
cana-4842	297	3	,	,	PUNCT
cana-4842	297	4	0.22	0.22	NUM
cana-4842	297	5	,	,	PUNCT
cana-4842	297	6	...	...	PUNCT
cana-4842	297	7	,	,	PUNCT
cana-4842	297	8	0.27	0.27	NUM
cana-4842	297	9	]	]	X
cana-4842	297	10	[	[	X
cana-4842	297	11	0.19	0.19	NUM
cana-4842	297	12	,	,	PUNCT
cana-4842	297	13	-0.20	-0.20	NUM
cana-4842	297	14	,	,	PUNCT
cana-4842	297	15	0.09	0.09	NUM
cana-4842	297	16	,	,	PUNCT
cana-4842	297	17	...	...	PUNCT
cana-4842	297	18	,	,	PUNCT
cana-4842	297	19	0.35	0.35	NUM
cana-4842	297	20	]	]	PUNCT
cana-4842	297	21	f3	f3	PROPN
cana-4842	298	1	[	[	X
cana-4842	298	2	0.13	0.13	NUM
cana-4842	298	3	,	,	PUNCT
cana-4842	298	4	0.22	0.22	NUM
cana-4842	298	5	,	,	PUNCT
cana-4842	298	6	...	...	PUNCT
cana-4842	298	7	]	]	PUNCT
cana-4842	299	1	[	[	X
cana-4842	299	2	0.31	0.31	NUM
cana-4842	299	3	,	,	PUNCT
cana-4842	299	4	0.40	0.40	NUM
cana-4842	299	5	,	,	PUNCT
cana-4842	299	6	...	...	PUNCT
cana-4842	299	7	]	]	PUNCT
cana-4842	300	1	[	[	X
cana-4842	300	2	0.22	0.22	NUM
cana-4842	300	3	,	,	PUNCT
cana-4842	300	4	0.17	0.17	NUM
cana-4842	300	5	,	,	PUNCT
cana-4842	300	6	...	...	PUNCT
cana-4842	300	7	,	,	PUNCT
cana-4842	300	8	0.29	0.29	X
cana-4842	300	9	]	]	PUNCT
cana-4842	301	1	[	[	X
cana-4842	301	2	0.23	0.23	NUM
cana-4842	301	3	,	,	PUNCT
cana-4842	301	4	-0.17	-0.17	ADJ
cana-4842	301	5	,	,	PUNCT
cana-4842	301	6	0.08	0.08	NUM
cana-4842	301	7	,	,	PUNCT
cana-4842	301	8	...	...	PUNCT
cana-4842	301	9	,	,	PUNCT
cana-4842	301	10	0.37	0.37	NUM
cana-4842	301	11	]	]	PUNCT
cana-4842	301	12	table	table	NOUN
cana-4842	301	13	10	10	NUM
cana-4842	301	14	shows	show	VERB
cana-4842	301	15	the	the	DET
cana-4842	301	16	temporal	temporal	ADJ
cana-4842	301	17	embeddings	embedding	NOUN
cana-4842	301	18	generated	generate	VERB
cana-4842	301	19	by	by	ADP
cana-4842	301	20	the	the	DET
cana-4842	301	21	temporal	temporal	ADJ
cana-4842	301	22	convolutional	convolutional	ADJ
cana-4842	301	23	transformer	transformer	NOUN
cana-4842	301	24	.	.	PUNCT
cana-4842	302	1	for	for	ADP
cana-4842	302	2	each	each	DET
cana-4842	302	3	flow	flow	NOUN
cana-4842	302	4	,	,	PUNCT
cana-4842	302	5	the	the	DET
cana-4842	302	6	self	self	NOUN
cana-4842	302	7	-	-	PUNCT
cana-4842	302	8	attention	attention	NOUN
cana-4842	302	9	mechanisms	mechanism	NOUN
cana-4842	302	10	are	be	AUX
cana-4842	302	11	fed	feed	VERB
cana-4842	302	12	as	as	ADP
cana-4842	302	13	the	the	DET
cana-4842	302	14	input	input	NOUN
cana-4842	302	15	while	while	SCONJ
cana-4842	302	16	the	the	DET
cana-4842	302	17	output	output	NOUN
cana-4842	302	18	is	be	AUX
cana-4842	302	19	provided	provide	VERB
cana-4842	302	20	in	in	ADP
cana-4842	302	21	terms	term	NOUN
cana-4842	302	22	of	of	ADP
cana-4842	302	23	both	both	CCONJ
cana-4842	302	24	localized	localized	ADJ
cana-4842	302	25	and	and	CCONJ
cana-4842	302	26	long	long	ADJ
cana-4842	302	27	-	-	PUNCT
cana-4842	302	28	term	term	NOUN
cana-4842	302	29	dependencies	dependency	NOUN
cana-4842	302	30	along	along	ADP
cana-4842	302	31	the	the	DET
cana-4842	302	32	packet	packet	NOUN
cana-4842	302	33	sequences	sequence	NOUN
cana-4842	302	34	.	.	PUNCT
cana-4842	303	1	these	these	PRON
cana-4842	303	2	thus	thus	ADV
cana-4842	303	3	improve	improve	VERB
cana-4842	303	4	the	the	DET
cana-4842	303	5	anomaly	anomaly	NOUN
cana-4842	303	6	detection	detection	NOUN
cana-4842	303	7	capability	capability	NOUN
cana-4842	303	8	of	of	ADP
cana-4842	303	9	the	the	DET
cana-4842	303	10	model	model	NOUN
cana-4842	303	11	as	as	SCONJ
cana-4842	303	12	it	it	PRON
cana-4842	303	13	focuses	focus	VERB
cana-4842	303	14	on	on	ADP
cana-4842	303	15	timing	time	VERB
cana-4842	303	16	variations	variation	NOUN
cana-4842	303	17	and	and	CCONJ
cana-4842	303	18	flow	flow	NOUN
cana-4842	303	19	dynamics	dynamic	NOUN
cana-4842	303	20	.	.	PUNCT
cana-4842	304	1	table	table	NOUN
cana-4842	304	2	11	11	NUM
cana-4842	304	3	:	:	PUNCT
cana-4842	304	4	cyclegan	cyclegan	NOUN
cana-4842	304	5	synthetic	synthetic	ADJ
cana-4842	304	6	anomaly	anomaly	NOUN
cana-4842	304	7	generation	generation	NOUN
cana-4842	304	8	anomaly	anomaly	NOUN
cana-4842	304	9	i	i	PROPN
cana-4842	304	10	d	d	PROPN
cana-4842	304	11	real	real	ADJ
cana-4842	304	12	feature	feature	NOUN
cana-4842	304	13	vector	vector	NOUN
cana-4842	304	14	generated	generate	VERB
cana-4842	304	15	feature	feature	NOUN
cana-4842	304	16	vector	vector	NOUN
cana-4842	304	17	cycle	cycle	NOUN
cana-4842	304	18	consistency	consistency	NOUN
cana-4842	304	19	loss	loss	NOUN
cana-4842	304	20	discriminator	discriminator	NOUN
cana-4842	304	21	score	score	NOUN
cana-4842	304	22	a1	a1	NOUN
cana-4842	305	1	[	[	X
cana-4842	305	2	0.14	0.14	NUM
cana-4842	305	3	,	,	PUNCT
cana-4842	305	4	0.22	0.22	NUM
cana-4842	305	5	,	,	PUNCT
cana-4842	305	6	...	...	PUNCT
cana-4842	305	7	]	]	PUNCT
cana-4842	306	1	[	[	X
cana-4842	306	2	0.16	0.16	NUM
cana-4842	306	3	,	,	PUNCT
cana-4842	306	4	0.20	0.20	NUM
cana-4842	306	5	,	,	PUNCT
cana-4842	306	6	...	...	PUNCT
cana-4842	306	7	]	]	PUNCT
cana-4842	306	8	0.045	0.045	NUM
cana-4842	306	9	0.92	0.92	NUM
cana-4842	306	10	a2	a2	PROPN
cana-4842	307	1	[	[	X
cana-4842	307	2	0.21	0.21	NUM
cana-4842	307	3	,	,	PUNCT
cana-4842	307	4	0.25	0.25	NUM
cana-4842	307	5	,	,	PUNCT
cana-4842	307	6	...	...	PUNCT
cana-4842	307	7	]	]	PUNCT
cana-4842	308	1	[	[	X
cana-4842	308	2	0.19	0.19	NUM
cana-4842	308	3	,	,	PUNCT
cana-4842	308	4	0.23	0.23	NUM
cana-4842	308	5	,	,	PUNCT
cana-4842	308	6	...	...	PUNCT
cana-4842	308	7	]	]	PUNCT
cana-4842	308	8	0.038	0.038	NUM
cana-4842	308	9	0.89	0.89	NUM
cana-4842	308	10	a3	a3	NOUN
cana-4842	308	11	[	[	X
cana-4842	308	12	0.18	0.18	NUM
cana-4842	308	13	,	,	PUNCT
cana-4842	308	14	0.24	0.24	NUM
cana-4842	308	15	,	,	PUNCT
cana-4842	308	16	...	...	PUNCT
cana-4842	308	17	]	]	PUNCT
cana-4842	309	1	[	[	X
cana-4842	309	2	0.17	0.17	NUM
cana-4842	309	3	,	,	PUNCT
cana-4842	309	4	0.22	0.22	NUM
cana-4842	309	5	,	,	PUNCT
cana-4842	309	6	...	...	PUNCT
cana-4842	309	7	]	]	PUNCT
cana-4842	309	8	0.042	0.042	NUM
cana-4842	309	9	0.91	0.91	NUM
cana-4842	309	10	synthetic	synthetic	ADJ
cana-4842	309	11	anomalies	anomaly	NOUN
cana-4842	309	12	generated	generate	VERB
cana-4842	309	13	by	by	ADP
cana-4842	309	14	cyclegan	cyclegan	NOUN
cana-4842	309	15	look	look	VERB
cana-4842	309	16	more	more	ADV
cana-4842	309	17	or	or	CCONJ
cana-4842	309	18	less	less	ADJ
cana-4842	309	19	real	real	ADJ
cana-4842	309	20	patterns	pattern	NOUN
cana-4842	309	21	of	of	ADP
cana-4842	309	22	traffic	traffic	NOUN
cana-4842	309	23	;	;	PUNCT
cana-4842	309	24	table	table	NOUN
cana-4842	309	25	11	11	NUM
cana-4842	309	26	shows	show	VERB
cana-4842	309	27	the	the	DET
cana-4842	309	28	real	real	ADJ
cana-4842	309	29	and	and	CCONJ
cana-4842	309	30	generated	generate	VERB
cana-4842	309	31	feature	feature	NOUN
cana-4842	309	32	vectors	vector	NOUN
cana-4842	309	33	along	along	ADP
cana-4842	309	34	with	with	ADP
cana-4842	309	35	cycle	cycle	NOUN
cana-4842	309	36	consistency	consistency	NOUN
cana-4842	309	37	loss	loss	NOUN
cana-4842	309	38	and	and	CCONJ
cana-4842	309	39	discriminator	discriminator	NOUN
cana-4842	309	40	scores	score	NOUN
cana-4842	309	41	.	.	PUNCT
cana-4842	310	1	low	low	ADJ
cana-4842	310	2	values	value	NOUN
cana-4842	310	3	for	for	ADP
cana-4842	310	4	cycle	cycle	NOUN
cana-4842	310	5	consistency	consistency	NOUN
cana-4842	310	6	loss	loss	NOUN
cana-4842	310	7	confirm	confirm	VERB
cana-4842	310	8	structural	structural	ADJ
cana-4842	310	9	integrity	integrity	NOUN
cana-4842	310	10	between	between	ADP
cana-4842	310	11	real	real	ADJ
cana-4842	310	12	and	and	CCONJ
cana-4842	310	13	generated	generated	ADJ
cana-4842	310	14	anomalies	anomaly	NOUN
cana-4842	310	15	;	;	PUNCT
cana-4842	310	16	high	high	ADJ
cana-4842	310	17	discriminator	discriminator	NOUN
cana-4842	310	18	scores	score	NOUN
cana-4842	310	19	confirm	confirm	VERB
cana-4842	310	20	generation	generation	NOUN
cana-4842	310	21	of	of	ADP
cana-4842	310	22	realistic	realistic	ADJ
cana-4842	310	23	anomalies	anomaly	NOUN
cana-4842	310	24	,	,	PUNCT
cana-4842	310	25	further	far	ADV
cana-4842	310	26	pushing	push	VERB
cana-4842	310	27	up	up	ADP
cana-4842	310	28	the	the	DET
cana-4842	310	29	model	model	NOUN
cana-4842	310	30	's	's	PART
cana-4842	310	31	adversarial	adversarial	ADJ
cana-4842	310	32	robustness	robustness	NOUN
cana-4842	310	33	.	.	PUNCT
cana-4842	311	1	table	table	NOUN
cana-4842	311	2	12	12	NUM
cana-4842	311	3	:	:	PUNCT
cana-4842	311	4	xgboost	xgboost	PROPN
cana-4842	311	5	and	and	CCONJ
cana-4842	311	6	lstm	lstm	ADJ
cana-4842	312	1	hybrid	hybrid	NOUN
cana-4842	312	2	anomaly	anomaly	NOUN
cana-4842	312	3	scoring	scoring	NOUN
cana-4842	312	4	embedding	embed	VERB
cana-4842	312	5	i	i	PROPN
cana-4842	312	6	d	d	PROPN
cana-4842	312	7	xgboost	xgboost	X
cana-4842	312	8	score	score	VERB
cana-4842	312	9	lstm	lstm	ADJ
cana-4842	312	10	sequence	sequence	NOUN
cana-4842	312	11	score	score	NOUN
cana-4842	312	12	combined	combine	VERB
cana-4842	312	13	anomaly	anomaly	NOUN
cana-4842	312	14	score	score	NOUN
cana-4842	312	15	e1	e1	PROPN
cana-4842	312	16	0.88	0.88	NUM
cana-4842	312	17	0.76	0.76	NUM
cana-4842	312	18	0.82	0.82	NUM
cana-4842	312	19	e2	e2	PROPN
cana-4842	312	20	0.92	0.92	NUM
cana-4842	312	21	0.80	0.80	NUM
cana-4842	312	22	0.86	0.86	NUM
cana-4842	312	23	e3	e3	NOUN
cana-4842	312	24	0.85	0.85	NUM
cana-4842	312	25	0.78	0.78	NUM
cana-4842	312	26	0.81	0.81	NUM
cana-4842	312	27	table	table	NOUN
cana-4842	312	28	12	12	NUM
cana-4842	312	29	represents	represent	VERB
cana-4842	312	30	the	the	DET
cana-4842	312	31	anomaly	anomaly	NOUN
cana-4842	312	32	score	score	NOUN
cana-4842	312	33	generated	generate	VERB
cana-4842	312	34	by	by	ADP
cana-4842	312	35	the	the	DET
cana-4842	312	36	hybrid	hybrid	NOUN
cana-4842	312	37	xgboost	xgboost	NOUN
cana-4842	312	38	and	and	CCONJ
cana-4842	312	39	lstm	lstm	ADJ
cana-4842	312	40	.	.	PUNCT
cana-4842	313	1	xgboost	xgboost	PROPN
cana-4842	313	2	retrieves	retrieve	VERB
cana-4842	313	3	feature	feature	NOUN
cana-4842	313	4	importance	importance	NOUN
cana-4842	313	5	in	in	ADP
cana-4842	313	6	a	a	DET
cana-4842	313	7	nonlinear	nonlinear	ADJ
cana-4842	313	8	fashion	fashion	NOUN
cana-4842	313	9	while	while	SCONJ
cana-4842	313	10	lstm	lstm	NOUN
cana-4842	313	11	processes	process	VERB
cana-4842	313	12	sequential	sequential	ADJ
cana-4842	313	13	dependencies	dependency	NOUN
cana-4842	313	14	.	.	PUNCT
cana-4842	314	1	the	the	DET
cana-4842	314	2	resulting	result	VERB
cana-4842	314	3	anomaly	anomaly	NOUN
cana-4842	314	4	score	score	NOUN
cana-4842	314	5	is	be	AUX
cana-4842	314	6	given	give	VERB
cana-4842	314	7	as	as	ADP
cana-4842	314	8	the	the	DET
cana-4842	314	9	weighted	weighted	ADJ
cana-4842	314	10	average	average	NOUN
cana-4842	314	11	of	of	ADP
cana-4842	314	12	individual	individual	ADJ
cana-4842	314	13	scores	score	NOUN
cana-4842	314	14	,	,	PUNCT
cana-4842	314	15	thus	thus	ADV
cana-4842	314	16	giving	give	VERB
cana-4842	314	17	a	a	DET
cana-4842	314	18	comprehensive	comprehensive	ADJ
cana-4842	314	19	indication	indication	NOUN
cana-4842	314	20	of	of	ADP
cana-4842	314	21	what	what	PRON
cana-4842	314	22	threats	threat	NOUN
cana-4842	314	23	could	could	AUX
cana-4842	314	24	exist	exist	VERB
cana-4842	314	25	within	within	ADP
cana-4842	314	26	the	the	DET
cana-4842	314	27	network	network	NOUN
cana-4842	314	28	.	.	PUNCT
cana-4842	315	1	table	table	NOUN
cana-4842	315	2	13	13	NUM
cana-4842	315	3	:	:	PUNCT
cana-4842	315	4	causal	causal	ADJ
cana-4842	315	5	inference	inference	NOUN
cana-4842	315	6	with	with	ADP
cana-4842	315	7	structural	structural	ADJ
cana-4842	315	8	equation	equation	NOUN
cana-4842	315	9	modeling	modeling	NOUN
cana-4842	315	10	(	(	PUNCT
cana-4842	315	11	sem	sem	NOUN
cana-4842	315	12	)	)	PUNCT
cana-4842	315	13	for	for	ADP
cana-4842	315	14	explainability	explainability	NOUN
cana-4842	315	15	feature	feature	VERB
cana-4842	315	16	direct	direct	ADJ
cana-4842	315	17	effect	effect	NOUN
cana-4842	315	18	on	on	ADP
cana-4842	315	19	anomaly	anomaly	NOUN
cana-4842	315	20	score	score	NOUN
cana-4842	315	21	indirect	indirect	ADJ
cana-4842	315	22	effect	effect	NOUN
cana-4842	315	23	via	via	ADP
cana-4842	315	24	node	node	NOUN
cana-4842	315	25	degree	degree	NOUN
cana-4842	315	26	total	total	NOUN
cana-4842	315	27	causal	causal	PROPN
cana-4842	315	28	impact	impact	PROPN
cana-4842	315	29	avg	avg	PROPN
cana-4842	315	30	.	.	PUNCT
cana-4842	315	31	packet	packet	ADJ
cana-4842	315	32	size	size	NOUN
cana-4842	315	33	0.32	0.32	NUM
cana-4842	315	34	0.15	0.15	NUM
cana-4842	315	35	0.47	0.47	NUM
cana-4842	315	36	connection	connection	NOUN
cana-4842	315	37	0.28	0.28	NUM
cana-4842	315	38	0.12	0.12	NUM
cana-4842	315	39	0.40	0.40	NUM
cana-4842	315	40	communications	communication	NOUN
cana-4842	315	41	on	on	ADP
cana-4842	315	42	applied	apply	VERB
cana-4842	315	43	nonlinear	nonlinear	ADJ
cana-4842	315	44	analysis	analysis	NOUN
cana-4842	315	45	issn	issn	NOUN
cana-4842	315	46	:	:	PUNCT
cana-4842	315	47	1074	1074	NUM
cana-4842	315	48	-	-	PUNCT
cana-4842	315	49	133x	133x	NUM
cana-4842	315	50	vol	vol	VERB
cana-4842	315	51	32	32	NUM
cana-4842	315	52	no	no	NOUN
cana-4842	315	53	.	.	PUNCT
cana-4842	316	1	10s	10	NOUN
cana-4842	316	2	(	(	PUNCT
cana-4842	316	3	2025	2025	NUM
cana-4842	316	4	)	)	PUNCT
cana-4842	316	5	486	486	NUM
cana-4842	316	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	316	7	frequency	frequency	NOUN
cana-4842	316	8	node	node	NOUN
cana-4842	316	9	centrality	centrality	NOUN
cana-4842	316	10	0.25	0.25	NUM
cana-4842	316	11	0.18	0.18	NUM
cana-4842	316	12	0.43	0.43	NUM
cana-4842	316	13	the	the	DET
cana-4842	316	14	sem	sem	NOUN
cana-4842	316	15	reveals	reveal	VERB
cana-4842	316	16	the	the	DET
cana-4842	316	17	causals	causal	NOUN
cana-4842	316	18	between	between	ADP
cana-4842	316	19	features	feature	NOUN
cana-4842	316	20	and	and	CCONJ
cana-4842	316	21	the	the	DET
cana-4842	316	22	anomaly	anomaly	NOUN
cana-4842	316	23	score	score	NOUN
cana-4842	316	24	as	as	ADP
cana-4842	316	25	in	in	ADP
cana-4842	316	26	table	table	NOUN
cana-4842	316	27	13	13	NUM
cana-4842	316	28	.	.	PUNCT
cana-4842	317	1	for	for	ADP
cana-4842	317	2	example	example	NOUN
cana-4842	317	3	,	,	PUNCT
cana-4842	317	4	the	the	DET
cana-4842	317	5	average	average	ADJ
cana-4842	317	6	packet	packet	NOUN
cana-4842	317	7	size	size	NOUN
cana-4842	317	8	has	have	VERB
cana-4842	317	9	a	a	DET
cana-4842	317	10	total	total	ADJ
cana-4842	317	11	causal	causal	ADJ
cana-4842	317	12	impact	impact	NOUN
cana-4842	317	13	of	of	ADP
cana-4842	317	14	0.47	0.47	NUM
cana-4842	317	15	with	with	ADP
cana-4842	317	16	summation	summation	NOUN
cana-4842	317	17	of	of	ADP
cana-4842	317	18	direct	direct	ADJ
cana-4842	317	19	and	and	CCONJ
cana-4842	317	20	indirect	indirect	ADJ
cana-4842	317	21	effects	effect	NOUN
cana-4842	317	22	through	through	ADP
cana-4842	317	23	node	node	NOUN
cana-4842	317	24	degree	degree	NOUN
cana-4842	317	25	,	,	PUNCT
cana-4842	317	26	hence	hence	ADV
cana-4842	317	27	giving	give	VERB
cana-4842	317	28	deeper	deep	ADJ
cana-4842	317	29	insights	insight	NOUN
cana-4842	317	30	into	into	ADP
cana-4842	317	31	why	why	SCONJ
cana-4842	317	32	the	the	DET
cana-4842	317	33	model	model	NOUN
cana-4842	317	34	is	be	AUX
cana-4842	317	35	making	make	VERB
cana-4842	317	36	such	such	ADJ
cana-4842	317	37	predictions	prediction	NOUN
cana-4842	317	38	.	.	PUNCT
cana-4842	318	1	table	table	NOUN
cana-4842	318	2	14	14	NUM
cana-4842	318	3	:	:	PUNCT
cana-4842	318	4	final	final	ADJ
cana-4842	318	5	outputs	output	NOUN
cana-4842	318	6	and	and	CCONJ
cana-4842	318	7	anomaly	anomaly	NOUN
cana-4842	318	8	detection	detection	NOUN
cana-4842	318	9	results	result	NOUN
cana-4842	318	10	flow	flow	VERB
cana-4842	318	11	i	i	PRON
cana-4842	318	12	d	d	PROPN
cana-4842	318	13	combined	combine	VERB
cana-4842	318	14	embedding	embed	VERB
cana-4842	318	15	vector	vector	NOUN
cana-4842	318	16	anomaly	anomaly	NOUN
cana-4842	318	17	score	score	NOUN
cana-4842	318	18	detection	detection	NOUN
cana-4842	318	19	outcome	outcome	NOUN
cana-4842	318	20	f1	f1	NOUN
cana-4842	319	1	[	[	X
cana-4842	319	2	0.21	0.21	NUM
cana-4842	319	3	,	,	PUNCT
cana-4842	319	4	-0.10	-0.10	NUM
cana-4842	319	5	,	,	PUNCT
cana-4842	319	6	...	...	PUNCT
cana-4842	319	7	,	,	PUNCT
cana-4842	319	8	0.40	0.40	NUM
cana-4842	319	9	]	]	PUNCT
cana-4842	319	10	0.82	0.82	NUM
cana-4842	319	11	anomaly	anomaly	NOUN
cana-4842	319	12	detected	detect	VERB
cana-4842	319	13	f2	f2	PROPN
cana-4842	319	14	[	[	X
cana-4842	319	15	0.19	0.19	NUM
cana-4842	319	16	,	,	PUNCT
cana-4842	319	17	-0.08	-0.08	NUM
cana-4842	319	18	,	,	PUNCT
cana-4842	319	19	...	...	PUNCT
cana-4842	319	20	,	,	PUNCT
cana-4842	319	21	0.35	0.35	NUM
cana-4842	319	22	]	]	PUNCT
cana-4842	319	23	0.76	0.76	NUM
cana-4842	319	24	benign	benign	ADJ
cana-4842	319	25	f3	f3	NOUN
cana-4842	320	1	[	[	X
cana-4842	320	2	0.23	0.23	NUM
cana-4842	320	3	,	,	PUNCT
cana-4842	320	4	-0.09	-0.09	NUM
cana-4842	320	5	,	,	PUNCT
cana-4842	320	6	...	...	PUNCT
cana-4842	320	7	,	,	PUNCT
cana-4842	320	8	0.37	0.37	NUM
cana-4842	320	9	]	]	PUNCT
cana-4842	320	10	0.81	0.81	NUM
cana-4842	320	11	anomaly	anomaly	NOUN
cana-4842	320	12	detected	detect	VERB
cana-4842	320	13	the	the	DET
cana-4842	320	14	final	final	ADJ
cana-4842	320	15	output	output	NOUN
cana-4842	320	16	of	of	ADP
cana-4842	320	17	the	the	DET
cana-4842	320	18	model	model	NOUN
cana-4842	320	19	in	in	ADP
cana-4842	320	20	table	table	NOUN
cana-4842	320	21	14	14	NUM
cana-4842	320	22	gives	give	VERB
cana-4842	320	23	an	an	DET
cana-4842	320	24	aggregated	aggregated	ADJ
cana-4842	320	25	embedding	embed	VERB
cana-4842	320	26	vector	vector	NOUN
cana-4842	320	27	,	,	PUNCT
cana-4842	320	28	a	a	DET
cana-4842	320	29	corresponding	corresponding	ADJ
cana-4842	320	30	anomaly	anomaly	NOUN
cana-4842	320	31	score	score	NOUN
cana-4842	320	32	and	and	CCONJ
cana-4842	320	33	a	a	DET
cana-4842	320	34	detection	detection	NOUN
cana-4842	320	35	outcome	outcome	NOUN
cana-4842	320	36	for	for	ADP
cana-4842	320	37	all	all	DET
cana-4842	320	38	the	the	DET
cana-4842	320	39	flow	flow	NOUN
cana-4842	320	40	sets	set	NOUN
cana-4842	320	41	.	.	PUNCT
cana-4842	321	1	those	those	DET
cana-4842	321	2	anomaly	anomaly	NOUN
cana-4842	321	3	scores	score	NOUN
cana-4842	321	4	which	which	PRON
cana-4842	321	5	are	be	AUX
cana-4842	321	6	above	above	ADP
cana-4842	321	7	a	a	DET
cana-4842	321	8	given	give	VERB
cana-4842	321	9	threshold	threshold	NOUN
cana-4842	321	10	are	be	AUX
cana-4842	321	11	marked	mark	VERB
cana-4842	321	12	as	as	ADP
cana-4842	321	13	anomalies	anomaly	NOUN
cana-4842	321	14	based	base	VERB
cana-4842	321	15	on	on	ADP
cana-4842	321	16	this	this	DET
cana-4842	321	17	all	all	ADV
cana-4842	321	18	-	-	PUNCT
cana-4842	321	19	encompassing	encompass	VERB
cana-4842	321	20	embedding	embed	VERB
cana-4842	321	21	and	and	CCONJ
cana-4842	321	22	scoring	scoring	NOUN
cana-4842	321	23	methods	method	NOUN
cana-4842	321	24	.	.	PUNCT
cana-4842	322	1	this	this	DET
cana-4842	322	2	method	method	NOUN
cana-4842	322	3	infuses	infuse	VERB
cana-4842	322	4	relational	relational	ADJ
cana-4842	322	5	,	,	PUNCT
cana-4842	322	6	temporal	temporal	ADJ
cana-4842	322	7	,	,	PUNCT
cana-4842	322	8	and	and	CCONJ
cana-4842	322	9	adversarial	adversarial	ADJ
cana-4842	322	10	insights	insight	NOUN
cana-4842	322	11	,	,	PUNCT
cana-4842	322	12	hence	hence	ADV
cana-4842	322	13	yielding	yield	VERB
cana-4842	322	14	a	a	DET
cana-4842	322	15	powerful	powerful	ADJ
cana-4842	322	16	and	and	CCONJ
cana-4842	322	17	interpretable	interpretable	ADJ
cana-4842	322	18	detection	detection	NOUN
cana-4842	322	19	outcome	outcome	VERB
cana-4842	322	20	important	important	ADJ
cana-4842	322	21	in	in	ADP
cana-4842	322	22	detecting	detect	VERB
cana-4842	322	23	threats	threat	NOUN
cana-4842	322	24	within	within	ADP
cana-4842	322	25	sets	set	NOUN
cana-4842	322	26	of	of	ADP
cana-4842	322	27	encrypted	encrypt	VERB
cana-4842	322	28	network	network	NOUN
cana-4842	322	29	traffic	traffic	NOUN
cana-4842	322	30	sets	set	NOUN
cana-4842	322	31	.	.	PUNCT
cana-4842	323	1	5	5	X
cana-4842	323	2	.	.	X
cana-4842	323	3	conclusion	conclusion	NOUN
cana-4842	323	4	and	and	CCONJ
cana-4842	323	5	future	future	ADJ
cana-4842	323	6	scopes	scope	NOUN
cana-4842	323	7	this	this	DET
cana-4842	323	8	paper	paper	NOUN
cana-4842	323	9	presents	present	VERB
cana-4842	323	10	a	a	DET
cana-4842	323	11	holistic	holistic	ADJ
cana-4842	323	12	model	model	NOUN
cana-4842	323	13	of	of	ADP
cana-4842	323	14	anomaly	anomaly	NOUN
cana-4842	323	15	detection	detection	NOUN
cana-4842	323	16	in	in	ADP
cana-4842	323	17	encrypted	encrypt	VERB
cana-4842	323	18	network	network	NOUN
cana-4842	323	19	traffic	traffic	NOUN
cana-4842	323	20	.	.	PUNCT
cana-4842	324	1	to	to	ADP
cana-4842	324	2	this	this	DET
cana-4842	324	3	effect	effect	NOUN
cana-4842	324	4	,	,	PUNCT
cana-4842	324	5	graphsage	graphsage	NOUN
cana-4842	324	6	,	,	PUNCT
cana-4842	324	7	simclr	simclr	NOUN
cana-4842	324	8	,	,	PUNCT
cana-4842	324	9	temporal	temporal	ADJ
cana-4842	324	10	convolutional	convolutional	ADJ
cana-4842	324	11	transformer	transformer	NOUN
cana-4842	324	12	,	,	PUNCT
cana-4842	324	13	cyclegan	cyclegan	NOUN
cana-4842	324	14	,	,	PUNCT
cana-4842	324	15	an	an	DET
cana-4842	324	16	xgboost	xgboost	ADV
cana-4842	324	17	-	-	PUNCT
cana-4842	324	18	lstm	lstm	ADJ
cana-4842	324	19	hybrid	hybrid	NOUN
cana-4842	324	20	ensemble	ensemble	ADJ
cana-4842	324	21	,	,	PUNCT
cana-4842	324	22	and	and	CCONJ
cana-4842	324	23	sem	sem	NOUN
cana-4842	324	24	have	have	AUX
cana-4842	324	25	been	be	AUX
cana-4842	324	26	applied	apply	VERB
cana-4842	324	27	for	for	ADP
cana-4842	324	28	interpretability	interpretability	NOUN
cana-4842	324	29	.	.	PUNCT
cana-4842	325	1	the	the	DET
cana-4842	325	2	results	result	NOUN
cana-4842	325	3	yield	yield	VERB
cana-4842	325	4	sufficient	sufficient	ADJ
cana-4842	325	5	evidence	evidence	NOUN
cana-4842	325	6	of	of	ADP
cana-4842	325	7	the	the	DET
cana-4842	325	8	proficiency	proficiency	NOUN
cana-4842	325	9	of	of	ADP
cana-4842	325	10	the	the	DET
cana-4842	325	11	model	model	NOUN
cana-4842	325	12	;	;	PUNCT
cana-4842	325	13	for	for	ADP
cana-4842	325	14	instance	instance	NOUN
cana-4842	325	15	,	,	PUNCT
cana-4842	325	16	while	while	SCONJ
cana-4842	325	17	attaining	attain	VERB
cana-4842	325	18	96.5	96.5	NUM
cana-4842	325	19	%	%	NOUN
cana-4842	325	20	accuracy	accuracy	NOUN
cana-4842	325	21	of	of	ADP
cana-4842	325	22	the	the	DET
cana-4842	325	23	detection	detection	NOUN
cana-4842	325	24	on	on	ADP
cana-4842	325	25	the	the	DET
cana-4842	325	26	cicids	cicid	NOUN
cana-4842	325	27	2017	2017	NUM
cana-4842	325	28	dataset	dataset	NOUN
cana-4842	325	29	and	and	CCONJ
cana-4842	325	30	95.8	95.8	NUM
cana-4842	325	31	%	%	NOUN
cana-4842	325	32	for	for	ADP
cana-4842	325	33	the	the	DET
cana-4842	325	34	unsw	unsw	PROPN
cana-4842	325	35	-	-	PUNCT
cana-4842	325	36	nb15	nb15	PROPN
cana-4842	325	37	dataset	dataset	NOUN
cana-4842	325	38	,	,	PUNCT
cana-4842	325	39	which	which	PRON
cana-4842	325	40	outpaces	outpace	VERB
cana-4842	325	41	a	a	DET
cana-4842	325	42	precision	precision	NOUN
cana-4842	325	43	gap	gap	NOUN
cana-4842	325	44	of	of	ADP
cana-4842	325	45	nearly	nearly	ADV
cana-4842	325	46	5	5	NUM
cana-4842	325	47	-	-	SYM
cana-4842	325	48	7	7	NUM
cana-4842	325	49	%	%	NOUN
cana-4842	325	50	compared	compare	VERB
cana-4842	325	51	to	to	ADP
cana-4842	325	52	the	the	DET
cana-4842	325	53	precision	precision	NOUN
cana-4842	325	54	offered	offer	VERB
cana-4842	325	55	by	by	ADP
cana-4842	325	56	the	the	DET
cana-4842	325	57	traditional	traditional	ADJ
cana-4842	325	58	models	model	NOUN
cana-4842	325	59	.	.	PUNCT
cana-4842	326	1	this	this	PRON
cana-4842	326	2	brings	bring	VERB
cana-4842	326	3	the	the	DET
cana-4842	326	4	precision	precision	NOUN
cana-4842	326	5	of	of	ADP
cana-4842	326	6	95.1	95.1	NUM
cana-4842	326	7	%	%	NOUN
cana-4842	326	8	,	,	PUNCT
cana-4842	326	9	as	as	ADV
cana-4842	326	10	well	well	ADV
cana-4842	326	11	as	as	ADP
cana-4842	326	12	recall	recall	NOUN
cana-4842	326	13	of	of	ADP
cana-4842	326	14	94.3	94.3	NUM
cana-4842	326	15	%	%	NOUN
cana-4842	326	16	,	,	PUNCT
cana-4842	326	17	on	on	ADP
cana-4842	326	18	cicids	cicid	NOUN
cana-4842	326	19	2017	2017	NUM
cana-4842	326	20	,	,	PUNCT
cana-4842	326	21	with	with	ADP
cana-4842	326	22	a	a	DET
cana-4842	326	23	false	false	ADJ
cana-4842	326	24	positive	positive	ADJ
cana-4842	326	25	rate	rate	NOUN
cana-4842	326	26	as	as	ADV
cana-4842	326	27	low	low	ADJ
cana-4842	326	28	as	as	ADP
cana-4842	326	29	3.4	3.4	NUM
cana-4842	326	30	%	%	NOUN
cana-4842	326	31	,	,	PUNCT
cana-4842	326	32	quite	quite	ADV
cana-4842	326	33	clearly	clearly	ADV
cana-4842	326	34	to	to	PART
cana-4842	326	35	show	show	VERB
cana-4842	326	36	this	this	DET
cana-4842	326	37	model	model	NOUN
cana-4842	326	38	's	's	PART
cana-4842	326	39	balanced	balanced	ADJ
cana-4842	326	40	performance	performance	NOUN
cana-4842	326	41	between	between	ADP
cana-4842	326	42	identifying	identify	VERB
cana-4842	326	43	anomalies	anomaly	NOUN
cana-4842	326	44	and	and	CCONJ
cana-4842	326	45	minimizing	minimize	VERB
cana-4842	326	46	false	false	ADJ
cana-4842	326	47	alarms	alarm	NOUN
cana-4842	326	48	.	.	PUNCT
cana-4842	327	1	balancing	balance	VERB
cana-4842	327	2	this	this	PRON
cana-4842	327	3	within	within	ADP
cana-4842	327	4	environments	environment	NOUN
cana-4842	327	5	where	where	SCONJ
cana-4842	327	6	encryption	encryption	NOUN
cana-4842	327	7	is	be	AUX
cana-4842	327	8	required	require	VERB
cana-4842	327	9	-	-	PUNCT
cana-4842	327	10	that	that	ADV
cana-4842	327	11	is	be	AUX
cana-4842	327	12	,	,	PUNCT
cana-4842	327	13	detection	detection	NOUN
cana-4842	327	14	relies	rely	VERB
cana-4842	327	15	entirely	entirely	ADV
cana-4842	327	16	on	on	ADP
cana-4842	327	17	traffic	traffic	NOUN
cana-4842	327	18	metadata	metadata	NOUN
cana-4842	327	19	and	and	CCONJ
cana-4842	327	20	interaction	interaction	NOUN
cana-4842	327	21	patterns	pattern	NOUN
cana-4842	327	22	-	-	PUNCT
cana-4842	327	23	is	be	AUX
cana-4842	327	24	fundamentally	fundamentally	ADV
cana-4842	327	25	important	important	ADJ
cana-4842	327	26	in	in	ADP
cana-4842	327	27	process	process	NOUN
cana-4842	327	28	.	.	PUNCT
cana-4842	328	1	in	in	ADP
cana-4842	328	2	addition	addition	NOUN
cana-4842	328	3	,	,	PUNCT
cana-4842	328	4	with	with	ADP
cana-4842	328	5	an	an	DET
cana-4842	328	6	interpretability	interpretability	NOUN
cana-4842	328	7	score	score	NOUN
cana-4842	328	8	of	of	ADP
cana-4842	328	9	9.5	9.5	NUM
cana-4842	328	10	and	and	CCONJ
cana-4842	328	11	an	an	DET
cana-4842	328	12	adversarial	adversarial	ADJ
cana-4842	328	13	robustness	robustness	NOUN
cana-4842	328	14	score	score	NOUN
cana-4842	328	15	of	of	ADP
cana-4842	328	16	9.2	9.2	NUM
cana-4842	328	17	,	,	PUNCT
cana-4842	328	18	the	the	DET
cana-4842	328	19	model	model	NOUN
cana-4842	328	20	has	have	VERB
cana-4842	328	21	great	great	ADJ
cana-4842	328	22	practical	practical	ADJ
cana-4842	328	23	value	value	NOUN
cana-4842	328	24	sets	set	NOUN
cana-4842	328	25	.	.	PUNCT
cana-4842	329	1	this	this	PRON
cana-4842	329	2	is	be	AUX
cana-4842	329	3	based	base	VERB
cana-4842	329	4	on	on	ADP
cana-4842	329	5	the	the	DET
cana-4842	329	6	actionability	actionability	NOUN
cana-4842	329	7	and	and	CCONJ
cana-4842	329	8	the	the	DET
cana-4842	329	9	resilience	resilience	NOUN
cana-4842	329	10	to	to	PART
cana-4842	329	11	novel	novel	ADJ
cana-4842	329	12	threats	threat	NOUN
cana-4842	329	13	by	by	ADP
cana-4842	329	14	sem	sem	NOUN
cana-4842	329	15	and	and	CCONJ
cana-4842	329	16	cyclegan	cyclegan	NOUN
cana-4842	329	17	-	-	PUNCT
cana-4842	329	18	based	base	VERB
cana-4842	329	19	synthetic	synthetic	ADJ
cana-4842	329	20	anomaly	anomaly	NOUN
cana-4842	329	21	generation	generation	NOUN
cana-4842	329	22	.	.	PUNCT
cana-4842	330	1	the	the	DET
cana-4842	330	2	obtained	obtain	VERB
cana-4842	330	3	results	result	NOUN
cana-4842	330	4	validate	validate	VERB
cana-4842	330	5	the	the	DET
cana-4842	330	6	design	design	NOUN
cana-4842	330	7	of	of	ADP
cana-4842	330	8	the	the	DET
cana-4842	330	9	model	model	NOUN
cana-4842	330	10	in	in	ADP
cana-4842	330	11	which	which	PRON
cana-4842	330	12	every	every	DET
cana-4842	330	13	component	component	NOUN
cana-4842	330	14	uniquely	uniquely	ADV
cana-4842	330	15	contributes	contribute	VERB
cana-4842	330	16	to	to	ADP
cana-4842	330	17	the	the	DET
cana-4842	330	18	detection	detection	NOUN
cana-4842	330	19	and	and	CCONJ
cana-4842	330	20	explanation	explanation	NOUN
cana-4842	330	21	as	as	ADV
cana-4842	330	22	well	well	ADV
cana-4842	330	23	as	as	ADP
cana-4842	330	24	handling	handle	VERB
cana-4842	330	25	encrypted	encrypt	VERB
cana-4842	330	26	anomalies	anomaly	NOUN
cana-4842	330	27	.	.	PUNCT
cana-4842	331	1	future	future	ADJ
cana-4842	331	2	work	work	NOUN
cana-4842	331	3	will	will	AUX
cana-4842	331	4	be	be	AUX
cana-4842	331	5	able	able	ADJ
cana-4842	331	6	to	to	PART
cana-4842	331	7	enrich	enrich	VERB
cana-4842	331	8	each	each	DET
cana-4842	331	9	feature	feature	NOUN
cana-4842	331	10	specifically	specifically	ADV
cana-4842	331	11	for	for	ADP
cana-4842	331	12	different	different	ADJ
cana-4842	331	13	network	network	NOUN
cana-4842	331	14	settings	setting	NOUN
cana-4842	331	15	and	and	CCONJ
cana-4842	331	16	attack	attack	NOUN
cana-4842	331	17	types	type	NOUN
cana-4842	331	18	.	.	PUNCT
cana-4842	332	1	advanced	advanced	ADJ
cana-4842	332	2	advanced	advanced	ADJ
cana-4842	332	3	attention	attention	NOUN
cana-4842	332	4	mechanisms	mechanism	NOUN
cana-4842	332	5	or	or	CCONJ
cana-4842	332	6	adaptive	adaptive	ADJ
cana-4842	332	7	time	time	NOUN
cana-4842	332	8	-	-	PUNCT
cana-4842	332	9	series	series	NOUN
cana-4842	332	10	modeling	modeling	NOUN
cana-4842	332	11	may	may	AUX
cana-4842	332	12	help	help	VERB
cana-4842	332	13	in	in	ADP
cana-4842	332	14	improved	improved	ADJ
cana-4842	332	15	detection	detection	NOUN
cana-4842	332	16	of	of	ADP
cana-4842	332	17	subtle	subtle	ADJ
cana-4842	332	18	long	long	ADJ
cana-4842	332	19	-	-	PUNCT
cana-4842	332	20	term	term	NOUN
cana-4842	332	21	anomalies	anomaly	NOUN
cana-4842	332	22	in	in	ADP
cana-4842	332	23	the	the	DET
cana-4842	332	24	temporal	temporal	ADJ
cana-4842	332	25	convolutional	convolutional	ADJ
cana-4842	332	26	transformer	transformer	NOUN
cana-4842	332	27	.	.	PUNCT
cana-4842	333	1	the	the	DET
cana-4842	333	2	communications	communication	NOUN
cana-4842	333	3	on	on	ADP
cana-4842	333	4	applied	apply	VERB
cana-4842	333	5	nonlinear	nonlinear	ADJ
cana-4842	333	6	analysis	analysis	NOUN
cana-4842	333	7	issn	issn	NOUN
cana-4842	333	8	:	:	PUNCT
cana-4842	333	9	1074	1074	NUM
cana-4842	333	10	-	-	PUNCT
cana-4842	333	11	133x	133x	NUM
cana-4842	333	12	vol	vol	VERB
cana-4842	333	13	32	32	NUM
cana-4842	333	14	no	no	NOUN
cana-4842	333	15	.	.	PUNCT
cana-4842	334	1	10s	10	NOUN
cana-4842	334	2	(	(	PUNCT
cana-4842	334	3	2025	2025	NUM
cana-4842	334	4	)	)	PUNCT
cana-4842	334	5	487	487	NUM
cana-4842	334	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	334	7	adversarial	adversarial	ADJ
cana-4842	334	8	training	training	NOUN
cana-4842	334	9	component	component	NOUN
cana-4842	334	10	can	can	AUX
cana-4842	334	11	also	also	ADV
cana-4842	334	12	experiment	experiment	VERB
cana-4842	334	13	with	with	ADP
cana-4842	334	14	other	other	ADJ
cana-4842	334	15	generative	generative	ADJ
cana-4842	334	16	models	model	NOUN
cana-4842	334	17	,	,	PUNCT
cana-4842	334	18	such	such	ADJ
cana-4842	334	19	as	as	ADP
cana-4842	334	20	wasserstein	wasserstein	NOUN
cana-4842	334	21	gans	gan	NOUN
cana-4842	334	22	,	,	PUNCT
cana-4842	334	23	to	to	PART
cana-4842	334	24	generate	generate	VERB
cana-4842	334	25	even	even	ADV
cana-4842	334	26	more	more	ADV
cana-4842	334	27	realistic	realistic	ADJ
cana-4842	334	28	synthetic	synthetic	ADJ
cana-4842	334	29	data	datum	NOUN
cana-4842	334	30	to	to	PART
cana-4842	334	31	increase	increase	VERB
cana-4842	334	32	model	model	NOUN
cana-4842	334	33	robustness	robustness	NOUN
cana-4842	334	34	against	against	ADP
cana-4842	334	35	evolving	evolve	VERB
cana-4842	334	36	adversarial	adversarial	ADJ
cana-4842	334	37	tactics	tactic	NOUN
cana-4842	334	38	.	.	PUNCT
cana-4842	335	1	federated	federate	VERB
cana-4842	335	2	learning	learning	NOUN
cana-4842	335	3	for	for	ADP
cana-4842	335	4	model	model	NOUN
cana-4842	335	5	training	training	NOUN
cana-4842	335	6	represents	represent	VERB
cana-4842	335	7	another	another	DET
cana-4842	335	8	area	area	NOUN
cana-4842	335	9	with	with	ADP
cana-4842	335	10	significant	significant	ADJ
cana-4842	335	11	promise	promise	NOUN
cana-4842	335	12	:	:	PUNCT
cana-4842	335	13	it	it	PRON
cana-4842	335	14	should	should	AUX
cana-4842	335	15	allow	allow	VERB
cana-4842	335	16	models	model	NOUN
cana-4842	335	17	to	to	PART
cana-4842	335	18	be	be	AUX
cana-4842	335	19	learned	learn	VERB
cana-4842	335	20	over	over	ADP
cana-4842	335	21	distributed	distribute	VERB
cana-4842	335	22	data	datum	NOUN
cana-4842	335	23	across	across	ADP
cana-4842	335	24	multiple	multiple	ADJ
cana-4842	335	25	network	network	NOUN
cana-4842	335	26	environments	environment	NOUN
cana-4842	335	27	without	without	ADP
cana-4842	335	28	relaxing	relax	VERB
cana-4842	335	29	the	the	DET
cana-4842	335	30	privacy	privacy	NOUN
cana-4842	335	31	of	of	ADP
cana-4842	335	32	the	the	DET
cana-4842	335	33	data	datum	NOUN
cana-4842	335	34	,	,	PUNCT
cana-4842	335	35	opening	open	VERB
cana-4842	335	36	the	the	DET
cana-4842	335	37	possibility	possibility	NOUN
cana-4842	335	38	for	for	ADP
cana-4842	335	39	even	even	ADV
cana-4842	335	40	more	more	ADV
cana-4842	335	41	flexible	flexible	ADJ
cana-4842	335	42	context	context	NOUN
cana-4842	335	43	-	-	PUNCT
cana-4842	335	44	aware	aware	ADJ
cana-4842	335	45	models	model	NOUN
cana-4842	335	46	.	.	PUNCT
cana-4842	336	1	even	even	ADV
cana-4842	336	2	more	more	ADV
cana-4842	336	3	profound	profound	ADJ
cana-4842	336	4	depths	depth	NOUN
cana-4842	336	5	of	of	ADP
cana-4842	336	6	integration	integration	NOUN
cana-4842	336	7	of	of	ADP
cana-4842	336	8	network	network	NOUN
cana-4842	336	9	-	-	PUNCT
cana-4842	336	10	wide	wide	ADJ
cana-4842	336	11	causal	causal	NOUN
cana-4842	336	12	inference	inference	NOUN
cana-4842	336	13	techniques	technique	NOUN
cana-4842	336	14	will	will	AUX
cana-4842	336	15	also	also	ADV
cana-4842	336	16	unlock	unlock	VERB
cana-4842	336	17	new	new	ADJ
cana-4842	336	18	ability	ability	NOUN
cana-4842	336	19	within	within	ADP
cana-4842	336	20	sem	sem	NOUN
cana-4842	336	21	to	to	PART
cana-4842	336	22	provide	provide	VERB
cana-4842	336	23	even	even	ADV
cana-4842	336	24	greater	great	ADJ
cana-4842	336	25	insights	insight	NOUN
cana-4842	336	26	into	into	ADP
cana-4842	336	27	specific	specific	ADJ
cana-4842	336	28	relations	relation	NOUN
cana-4842	336	29	between	between	ADP
cana-4842	336	30	traffic	traffic	NOUN
cana-4842	336	31	attributes	attribute	NOUN
cana-4842	336	32	and	and	CCONJ
cana-4842	336	33	security	security	NOUN
cana-4842	336	34	events	event	NOUN
cana-4842	336	35	,	,	PUNCT
cana-4842	336	36	for	for	ADP
cana-4842	336	37	quick	quick	ADJ
cana-4842	336	38	,	,	PUNCT
cana-4842	336	39	accurate	accurate	ADJ
cana-4842	336	40	responses	response	NOUN
cana-4842	336	41	to	to	ADP
cana-4842	336	42	complex	complex	ADJ
cana-4842	336	43	threats	threat	NOUN
cana-4842	336	44	in	in	ADP
cana-4842	336	45	the	the	DET
cana-4842	336	46	encrypted	encrypt	VERB
cana-4842	336	47	network	network	NOUN
cana-4842	336	48	ecosystem	ecosystem	NOUN
cana-4842	336	49	.	.	PUNCT
cana-4842	337	1	this	this	PRON
cana-4842	337	2	would	would	AUX
cana-4842	337	3	,	,	PUNCT
cana-4842	337	4	on	on	ADP
cana-4842	337	5	its	its	PRON
cana-4842	337	6	own	own	ADJ
cana-4842	337	7	,	,	PUNCT
cana-4842	337	8	enhance	enhance	VERB
cana-4842	337	9	anomaly	anomaly	NOUN
cana-4842	337	10	detection	detection	NOUN
cana-4842	337	11	capabilities	capability	NOUN
cana-4842	337	12	but	but	CCONJ
cana-4842	337	13	also	also	ADV
cana-4842	337	14	facilitate	facilitate	VERB
cana-4842	337	15	adaptability	adaptability	NOUN
cana-4842	337	16	and	and	CCONJ
cana-4842	337	17	scalability	scalability	NOUN
cana-4842	337	18	,	,	PUNCT
cana-4842	337	19	thus	thus	ADV
cana-4842	337	20	making	make	VERB
cana-4842	337	21	the	the	DET
cana-4842	337	22	proposed	propose	VERB
cana-4842	337	23	model	model	NOUN
cana-4842	337	24	one	one	NUM
cana-4842	337	25	step	step	NOUN
cana-4842	337	26	ahead	ahead	ADV
cana-4842	337	27	in	in	ADP
cana-4842	337	28	a	a	DET
cana-4842	337	29	vision	vision	NOUN
cana-4842	337	30	to	to	PART
cana-4842	337	31	be	be	AUX
cana-4842	337	32	at	at	ADP
cana-4842	337	33	the	the	DET
cana-4842	337	34	forefront	forefront	NOUN
cana-4842	337	35	of	of	ADP
cana-4842	337	36	the	the	DET
cana-4842	337	37	changing	change	VERB
cana-4842	337	38	landscape	landscape	NOUN
cana-4842	337	39	of	of	ADP
cana-4842	337	40	network	network	NOUN
cana-4842	337	41	security	security	NOUN
cana-4842	337	42	levels	level	NOUN
cana-4842	337	43	.	.	PUNCT
cana-4842	338	1	6	6	X
cana-4842	338	2	.	.	NUM
cana-4842	338	3	references	reference	NOUN
cana-4842	338	4	[	[	X
cana-4842	338	5	1	1	NUM
cana-4842	338	6	]	]	PUNCT
cana-4842	338	7	bayrak	bayrak	PROPN
cana-4842	338	8	,	,	PUNCT
cana-4842	338	9	s.	s.	PROPN
cana-4842	338	10	unveiling	unveil	VERB
cana-4842	338	11	intrusions	intrusion	NOUN
cana-4842	338	12	:	:	PUNCT
cana-4842	338	13	explainable	explainable	ADJ
cana-4842	338	14	svm	svm	ADJ
cana-4842	338	15	approaches	approach	NOUN
cana-4842	338	16	for	for	ADP
cana-4842	338	17	addressing	address	VERB
cana-4842	338	18	encrypted	encrypt	VERB
cana-4842	338	19	wi	wi	PROPN
cana-4842	338	20	-	-	PUNCT
cana-4842	338	21	fi	fi	NOUN
cana-4842	338	22	traffic	traffic	NOUN
cana-4842	338	23	in	in	ADP
cana-4842	338	24	uav	uav	PROPN
cana-4842	338	25	networks	network	NOUN
cana-4842	338	26	.	.	PUNCT
cana-4842	339	1	knowl	knowl	PROPN
cana-4842	339	2	inf	inf	PROPN
cana-4842	339	3	syst	syst	PROPN
cana-4842	339	4	66	66	NUM
cana-4842	339	5	,	,	PUNCT
cana-4842	339	6	6675–6695	6675–6695	NUM
cana-4842	339	7	(	(	PUNCT
cana-4842	339	8	2024	2024	NUM
cana-4842	339	9	)	)	PUNCT
cana-4842	339	10	.	.	PUNCT
cana-4842	340	1	https://doi.org/10.1007/s10115-024-02181-9	https://doi.org/10.1007/s10115-024-02181-9	NUM
cana-4842	341	1	[	[	X
cana-4842	341	2	2	2	NUM
cana-4842	341	3	]	]	X
cana-4842	341	4	hou	hou	PROPN
cana-4842	341	5	,	,	PUNCT
cana-4842	341	6	j.	j.	PROPN
cana-4842	341	7	,	,	PUNCT
cana-4842	341	8	li	li	PROPN
cana-4842	341	9	,	,	PUNCT
cana-4842	341	10	x.	x.	PROPN
cana-4842	341	11	,	,	PUNCT
cana-4842	341	12	xu	xu	PROPN
cana-4842	341	13	,	,	PUNCT
cana-4842	341	14	h.	h.	PROPN
cana-4842	341	15	et	et	PROPN
cana-4842	341	16	al	al	PROPN
cana-4842	341	17	.	.	PUNCT
cana-4842	342	1	packet	packet	NOUN
cana-4842	342	2	header	header	NOUN
cana-4842	342	3	-	-	PUNCT
cana-4842	342	4	based	base	VERB
cana-4842	342	5	reweight	reweight	NOUN
cana-4842	342	6	-	-	PUNCT
cana-4842	342	7	long	long	ADJ
cana-4842	342	8	short	short	ADJ
cana-4842	342	9	term	term	NOUN
cana-4842	342	10	memory	memory	NOUN
cana-4842	342	11	(	(	PUNCT
cana-4842	342	12	rewlstm	rewlstm	PROPN
cana-4842	342	13	)	)	PUNCT
cana-4842	342	14	method	method	NOUN
cana-4842	342	15	for	for	ADP
cana-4842	342	16	encrypted	encrypt	VERB
cana-4842	342	17	network	network	NOUN
cana-4842	342	18	traffic	traffic	NOUN
cana-4842	342	19	classification	classification	NOUN
cana-4842	342	20	.	.	PUNCT
cana-4842	343	1	computing	compute	VERB
cana-4842	343	2	106	106	NUM
cana-4842	343	3	,	,	PUNCT
cana-4842	343	4	2875–2896	2875–2896	NUM
cana-4842	343	5	(	(	PUNCT
cana-4842	343	6	2024	2024	NUM
cana-4842	343	7	)	)	PUNCT
cana-4842	343	8	.	.	PUNCT
cana-4842	344	1	https://doi.org/10.1007/s00607-024-01306-w	https://doi.org/10.1007/s00607-024-01306-w	NOUN
cana-4842	344	2	[	[	X
cana-4842	344	3	3	3	NUM
cana-4842	344	4	]	]	X
cana-4842	344	5	zhou	zhou	PROPN
cana-4842	344	6	,	,	PUNCT
cana-4842	344	7	z.	z.	PROPN
cana-4842	344	8	,	,	PUNCT
cana-4842	344	9	bin	bin	PROPN
cana-4842	344	10	,	,	PUNCT
cana-4842	344	11	h.	h.	PROPN
cana-4842	344	12	,	,	PUNCT
cana-4842	344	13	li	li	PROPN
cana-4842	344	14	,	,	PUNCT
cana-4842	344	15	j.	j.	PROPN
cana-4842	344	16	et	et	PROPN
cana-4842	344	17	al	al	PROPN
cana-4842	344	18	.	.	PROPN
cana-4842	344	19	malicious	malicious	ADJ
cana-4842	344	20	encrypted	encrypt	VERB
cana-4842	344	21	traffic	traffic	NOUN
cana-4842	344	22	features	feature	VERB
cana-4842	344	23	extraction	extraction	NOUN
cana-4842	344	24	model	model	NOUN
cana-4842	344	25	based	base	VERB
cana-4842	344	26	on	on	ADP
cana-4842	344	27	unsupervised	unsupervised	ADJ
cana-4842	344	28	feature	feature	NOUN
cana-4842	344	29	adaptive	adaptive	ADJ
cana-4842	344	30	learning	learning	NOUN
cana-4842	344	31	.	.	PUNCT
cana-4842	345	1	j	j	PROPN
cana-4842	345	2	comput	comput	PROPN
cana-4842	345	3	virol	virol	PROPN
cana-4842	345	4	hack	hack	VERB
cana-4842	345	5	tech	tech	NOUN
cana-4842	345	6	18	18	NUM
cana-4842	345	7	,	,	PUNCT
cana-4842	345	8	453–463	453–463	NUM
cana-4842	345	9	(	(	PUNCT
cana-4842	345	10	2022	2022	NUM
cana-4842	345	11	)	)	PUNCT
cana-4842	345	12	.	.	PUNCT
cana-4842	346	1	https://doi.org/10.1007/s11416-022-00429-y	https://doi.org/10.1007/s11416-022-00429-y	PROPN
cana-4842	346	2	[	[	X
cana-4842	346	3	4	4	NUM
cana-4842	346	4	]	]	X
cana-4842	346	5	niktabe	niktabe	PROPN
cana-4842	346	6	,	,	PUNCT
cana-4842	346	7	s.	s.	PROPN
cana-4842	346	8	,	,	PUNCT
cana-4842	346	9	lashkari	lashkari	PROPN
cana-4842	346	10	,	,	PUNCT
cana-4842	346	11	a.h	a.h	PROPN
cana-4842	346	12	.	.	PROPN
cana-4842	346	13	&	&	CCONJ
cana-4842	346	14	roudsari	roudsari	PROPN
cana-4842	346	15	,	,	PUNCT
cana-4842	346	16	a.h	a.h	PROPN
cana-4842	346	17	.	.	PROPN
cana-4842	346	18	unveiling	unveil	VERB
cana-4842	346	19	doh	doh	PROPN
cana-4842	346	20	tunnel	tunnel	NOUN
cana-4842	346	21	:	:	PUNCT
cana-4842	346	22	toward	toward	ADP
cana-4842	346	23	generating	generate	VERB
cana-4842	346	24	a	a	DET
cana-4842	346	25	balanced	balanced	ADJ
cana-4842	346	26	doh	doh	NOUN
cana-4842	346	27	encrypted	encrypt	VERB
cana-4842	346	28	traffic	traffic	NOUN
cana-4842	346	29	dataset	dataset	NOUN
cana-4842	346	30	and	and	CCONJ
cana-4842	346	31	profiling	profile	VERB
cana-4842	346	32	malicious	malicious	ADJ
cana-4842	346	33	behavior	behavior	NOUN
cana-4842	346	34	using	use	VERB
cana-4842	346	35	inherently	inherently	ADV
cana-4842	346	36	interpretable	interpretable	ADJ
cana-4842	346	37	machine	machine	NOUN
cana-4842	346	38	learning	learning	NOUN
cana-4842	346	39	.	.	PUNCT
cana-4842	347	1	peer	peer	NOUN
cana-4842	347	2	-	-	PUNCT
cana-4842	347	3	to	to	ADP
cana-4842	347	4	-	-	PUNCT
cana-4842	347	5	peer	peer	NOUN
cana-4842	347	6	netw	netw	NOUN
cana-4842	347	7	.	.	PUNCT
cana-4842	348	1	appl	appl	PROPN
cana-4842	348	2	.	.	PROPN
cana-4842	349	1	17	17	NUM
cana-4842	349	2	,	,	PUNCT
cana-4842	349	3	507–531	507–531	NUM
cana-4842	349	4	(	(	PUNCT
cana-4842	349	5	2024	2024	NUM
cana-4842	349	6	)	)	PUNCT
cana-4842	349	7	.	.	PUNCT
cana-4842	350	1	https://doi.org/10.1007/s12083-023-01597-4	https://doi.org/10.1007/s12083-023-01597-4	NOUN
cana-4842	351	1	[	[	X
cana-4842	351	2	5	5	NUM
cana-4842	351	3	]	]	SYM
cana-4842	351	4	yang	yang	PROPN
cana-4842	351	5	,	,	PUNCT
cana-4842	351	6	l.	l.	PROPN
cana-4842	351	7	,	,	PUNCT
cana-4842	351	8	fu	fu	PROPN
cana-4842	351	9	,	,	PUNCT
cana-4842	351	10	s.	s.	PROPN
cana-4842	351	11	,	,	PUNCT
cana-4842	351	12	zhang	zhang	PROPN
cana-4842	351	13	,	,	PUNCT
cana-4842	352	1	x.	x.	PROPN
cana-4842	352	2	et	et	PROPN
cana-4842	352	3	al	al	PROPN
cana-4842	352	4	.	.	PROPN
cana-4842	352	5	flowspectrum	flowspectrum	PROPN
cana-4842	352	6	:	:	PUNCT
cana-4842	352	7	a	a	DET
cana-4842	352	8	concrete	concrete	ADJ
cana-4842	352	9	characterization	characterization	NOUN
cana-4842	352	10	scheme	scheme	NOUN
cana-4842	352	11	of	of	ADP
cana-4842	352	12	network	network	NOUN
cana-4842	352	13	traffic	traffic	NOUN
cana-4842	352	14	behavior	behavior	NOUN
cana-4842	352	15	for	for	ADP
cana-4842	352	16	anomaly	anomaly	NOUN
cana-4842	352	17	detection	detection	NOUN
cana-4842	352	18	.	.	PUNCT
cana-4842	353	1	world	world	NOUN
cana-4842	353	2	wide	wide	ADJ
cana-4842	353	3	web	web	NOUN
cana-4842	353	4	25	25	NUM
cana-4842	353	5	,	,	PUNCT
cana-4842	353	6	2139–2161	2139–2161	NUM
cana-4842	353	7	(	(	PUNCT
cana-4842	353	8	2022	2022	NUM
cana-4842	353	9	)	)	PUNCT
cana-4842	353	10	.	.	PUNCT
cana-4842	354	1	https://doi.org/10.1007/s11280-022-01057-8	https://doi.org/10.1007/s11280-022-01057-8	NUM
cana-4842	355	1	[	[	X
cana-4842	355	2	6	6	NUM
cana-4842	355	3	]	]	X
cana-4842	355	4	niktabe	niktabe	PROPN
cana-4842	355	5	,	,	PUNCT
cana-4842	355	6	s.	s.	PROPN
cana-4842	355	7	,	,	PUNCT
cana-4842	355	8	lashkari	lashkari	PROPN
cana-4842	355	9	,	,	PUNCT
cana-4842	355	10	a.h	a.h	PROPN
cana-4842	355	11	.	.	PROPN
cana-4842	355	12	&	&	CCONJ
cana-4842	355	13	sharma	sharma	PROPN
cana-4842	355	14	,	,	PUNCT
cana-4842	355	15	d.p	d.p	PROPN
cana-4842	355	16	.	.	PROPN
cana-4842	355	17	detection	detection	NOUN
cana-4842	355	18	,	,	PUNCT
cana-4842	355	19	characterization	characterization	NOUN
cana-4842	355	20	,	,	PUNCT
cana-4842	355	21	and	and	CCONJ
cana-4842	355	22	profiling	profile	VERB
cana-4842	355	23	doh	doh	NOUN
cana-4842	355	24	malicious	malicious	ADJ
cana-4842	355	25	traffic	traffic	NOUN
cana-4842	355	26	using	use	VERB
cana-4842	355	27	statistical	statistical	ADJ
cana-4842	355	28	pattern	pattern	NOUN
cana-4842	355	29	recognition	recognition	NOUN
cana-4842	355	30	.	.	PUNCT
cana-4842	356	1	int	int	NOUN
cana-4842	356	2	.	.	PUNCT
cana-4842	357	1	j.	j.	PROPN
cana-4842	357	2	inf	inf	PROPN
cana-4842	357	3	.	.	PROPN
cana-4842	357	4	secur	secur	PROPN
cana-4842	357	5	.	.	PUNCT
cana-4842	358	1	23	23	NUM
cana-4842	358	2	,	,	PUNCT
cana-4842	358	3	1293–1316	1293–1316	NUM
cana-4842	358	4	(	(	PUNCT
cana-4842	358	5	2024	2024	NUM
cana-4842	358	6	)	)	PUNCT
cana-4842	358	7	.	.	PUNCT
cana-4842	359	1	https://doi.org/10.1007/s10207-023-00790-z	https://doi.org/10.1007/s10207-023-00790-z	PROPN
cana-4842	360	1	[	[	X
cana-4842	360	2	7	7	NUM
cana-4842	360	3	]	]	X
cana-4842	360	4	seydali	seydali	ADJ
cana-4842	360	5	,	,	PUNCT
cana-4842	360	6	m.	m.	NOUN
cana-4842	360	7	,	,	PUNCT
cana-4842	360	8	khunjush	khunjush	PROPN
cana-4842	360	9	,	,	PUNCT
cana-4842	360	10	f.	f.	PROPN
cana-4842	360	11	&	&	CCONJ
cana-4842	360	12	dogani	dogani	PROPN
cana-4842	360	13	,	,	PUNCT
cana-4842	360	14	j.	j.	PROPN
cana-4842	360	15	streaming	streaming	NOUN
cana-4842	360	16	traffic	traffic	NOUN
cana-4842	360	17	classification	classification	NOUN
cana-4842	360	18	:	:	PUNCT
cana-4842	360	19	a	a	DET
cana-4842	360	20	hybrid	hybrid	ADJ
cana-4842	360	21	deep	deep	ADJ
cana-4842	360	22	learning	learning	NOUN
cana-4842	360	23	and	and	CCONJ
cana-4842	360	24	big	big	ADJ
cana-4842	360	25	data	datum	NOUN
cana-4842	360	26	approach	approach	NOUN
cana-4842	360	27	.	.	PUNCT
cana-4842	361	1	cluster	cluster	NOUN
cana-4842	361	2	comput	comput	NOUN
cana-4842	361	3	27	27	NUM
cana-4842	361	4	,	,	PUNCT
cana-4842	361	5	5165–5193	5165–5193	NUM
cana-4842	361	6	(	(	PUNCT
cana-4842	361	7	2024	2024	NUM
cana-4842	361	8	)	)	PUNCT
cana-4842	361	9	.	.	PUNCT
cana-4842	362	1	https://doi.org/10.1007/s10586023-04234-0	https://doi.org/10.1007/s10586023-04234-0	NOUN
cana-4842	362	2	[	[	X
cana-4842	362	3	8	8	NUM
cana-4842	362	4	]	]	PUNCT
cana-4842	362	5	papanikolaou	papanikolaou	NOUN
cana-4842	362	6	,	,	PUNCT
cana-4842	362	7	a.	a.	NOUN
cana-4842	362	8	,	,	PUNCT
cana-4842	362	9	alevizopoulos	alevizopoulo	NOUN
cana-4842	362	10	,	,	PUNCT
cana-4842	362	11	a.	a.	NOUN
cana-4842	362	12	,	,	PUNCT
cana-4842	362	13	ilioudis	ilioudis	PROPN
cana-4842	362	14	,	,	PUNCT
cana-4842	362	15	c.	c.	PROPN
cana-4842	362	16	et	et	PROPN
cana-4842	362	17	al	al	PROPN
cana-4842	362	18	.	.	PUNCT
cana-4842	363	1	an	an	DET
cana-4842	363	2	automl	automl	PROPN
cana-4842	363	3	network	network	NOUN
cana-4842	363	4	traffic	traffic	NOUN
cana-4842	363	5	analyzer	analyzer	NOUN
cana-4842	363	6	for	for	ADP
cana-4842	363	7	cyber	cyber	NOUN
cana-4842	363	8	threat	threat	NOUN
cana-4842	363	9	detection	detection	NOUN
cana-4842	363	10	.	.	PUNCT
cana-4842	364	1	int	int	NOUN
cana-4842	364	2	.	.	PUNCT
cana-4842	365	1	j.	j.	PROPN
cana-4842	365	2	inf	inf	PROPN
cana-4842	365	3	.	.	PROPN
cana-4842	365	4	secur	secur	PROPN
cana-4842	365	5	.	.	PUNCT
cana-4842	366	1	22	22	NUM
cana-4842	366	2	,	,	PUNCT
cana-4842	366	3	1511–1530	1511–1530	NUM
cana-4842	366	4	(	(	PUNCT
cana-4842	366	5	2023	2023	NUM
cana-4842	366	6	)	)	PUNCT
cana-4842	366	7	.	.	PUNCT
cana-4842	367	1	https://doi.org/10.1007/s10207023-00703-0	https://doi.org/10.1007/s10207023-00703-0	NOUN
cana-4842	368	1	[	[	X
cana-4842	368	2	9	9	NUM
cana-4842	368	3	]	]	SYM
cana-4842	368	4	jayalaxmi	jayalaxmi	NOUN
cana-4842	368	5	,	,	PUNCT
cana-4842	368	6	p.l.s	p.l.s	PROPN
cana-4842	368	7	.	.	PROPN
cana-4842	368	8	,	,	PUNCT
cana-4842	368	9	chakraborty	chakraborty	PROPN
cana-4842	368	10	,	,	PUNCT
cana-4842	368	11	m.	m.	NOUN
cana-4842	368	12	,	,	PUNCT
cana-4842	368	13	saha	saha	PROPN
cana-4842	368	14	,	,	PUNCT
cana-4842	368	15	r.	r.	PROPN
cana-4842	368	16	et	et	PROPN
cana-4842	368	17	al	al	PROPN
cana-4842	368	18	.	.	PROPN
cana-4842	368	19	madesant	madesant	PROPN
cana-4842	368	20	:	:	PUNCT
cana-4842	368	21	malware	malware	NOUN
cana-4842	368	22	detection	detection	NOUN
cana-4842	368	23	and	and	CCONJ
cana-4842	368	24	severity	severity	NOUN
cana-4842	368	25	analysis	analysis	NOUN
cana-4842	368	26	in	in	ADP
cana-4842	368	27	industrial	industrial	ADJ
cana-4842	368	28	environments	environment	NOUN
cana-4842	368	29	.	.	PUNCT
cana-4842	369	1	cluster	cluster	NOUN
cana-4842	369	2	comput	comput	NOUN
cana-4842	369	3	27	27	NUM
cana-4842	369	4	,	,	PUNCT
cana-4842	369	5	11347–11367	11347–11367	NUM
cana-4842	369	6	(	(	PUNCT
cana-4842	369	7	2024	2024	NUM
cana-4842	369	8	)	)	PUNCT
cana-4842	369	9	.	.	PUNCT
cana-4842	370	1	https://doi.org/10.1007/s10586-024-04527-y	https://doi.org/10.1007/s10586-024-04527-y	PROPN
cana-4842	371	1	[	[	X
cana-4842	371	2	10	10	NUM
cana-4842	371	3	]	]	X
cana-4842	371	4	gouda	gouda	NOUN
cana-4842	371	5	,	,	PUNCT
cana-4842	371	6	h.a	h.a	PROPN
cana-4842	371	7	.	.	PROPN
cana-4842	371	8	,	,	PUNCT
cana-4842	371	9	ahmed	ahmed	PROPN
cana-4842	371	10	,	,	PUNCT
cana-4842	371	11	m.a	m.a	PROPN
cana-4842	371	12	.	.	PROPN
cana-4842	371	13	&	&	CCONJ
cana-4842	371	14	roushdy	roushdy	PROPN
cana-4842	371	15	,	,	PUNCT
cana-4842	371	16	m.i	m.i	PROPN
cana-4842	371	17	.	.	PROPN
cana-4842	371	18	optimizing	optimize	VERB
cana-4842	371	19	anomaly	anomaly	NOUN
cana-4842	371	20	-	-	PUNCT
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cana-4842	371	22	attack	attack	NOUN
cana-4842	371	23	detection	detection	NOUN
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cana-4842	371	26	machine	machine	NOUN
cana-4842	371	27	learning	learning	NOUN
cana-4842	371	28	.	.	PUNCT
cana-4842	372	1	neural	neural	ADJ
cana-4842	372	2	comput	comput	PROPN
cana-4842	372	3	&	&	CCONJ
cana-4842	372	4	applic	applic	PROPN
cana-4842	372	5	36	36	NUM
cana-4842	372	6	,	,	PUNCT
cana-4842	372	7	3239–3257	3239–3257	NUM
cana-4842	372	8	(	(	PUNCT
cana-4842	372	9	2024	2024	NUM
cana-4842	372	10	)	)	PUNCT
cana-4842	372	11	.	.	PUNCT
cana-4842	373	1	https://doi.org/10.1007/s00521-023-09309-y	https://doi.org/10.1007/s00521-023-09309-y	PROPN
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cana-4842	373	3	https://doi.org/10.1007/s00607-024-01306-w	https://doi.org/10.1007/s00607-024-01306-w	NOUN
cana-4842	373	4	https://doi.org/10.1007/s11416-022-00429-y	https://doi.org/10.1007/s11416-022-00429-y	PROPN
cana-4842	373	5	https://doi.org/10.1007/s12083-023-01597-4	https://doi.org/10.1007/s12083-023-01597-4	VERB
cana-4842	373	6	https://doi.org/10.1007/s11280-022-01057-8	https://doi.org/10.1007/s11280-022-01057-8	NUM
cana-4842	373	7	https://doi.org/10.1007/s10207-023-00790-z	https://doi.org/10.1007/s10207-023-00790-z	NOUN
cana-4842	373	8	https://doi.org/10.1007/s10586-023-04234-0	https://doi.org/10.1007/s10586-023-04234-0	PROPN
cana-4842	373	9	https://doi.org/10.1007/s10586-023-04234-0	https://doi.org/10.1007/s10586-023-04234-0	NUM
cana-4842	373	10	https://doi.org/10.1007/s10207-023-00703-0	https://doi.org/10.1007/s10207-023-00703-0	PROPN
cana-4842	373	11	https://doi.org/10.1007/s10207-023-00703-0	https://doi.org/10.1007/s10207-023-00703-0	PROPN
cana-4842	373	12	https://doi.org/10.1007/s10586-024-04527-y	https://doi.org/10.1007/s10586-024-04527-y	PROPN
cana-4842	373	13	https://doi.org/10.1007/s00521-023-09309-y	https://doi.org/10.1007/s00521-023-09309-y	PROPN
cana-4842	373	14	communications	communication	NOUN
cana-4842	373	15	on	on	ADP
cana-4842	373	16	applied	apply	VERB
cana-4842	373	17	nonlinear	nonlinear	ADJ
cana-4842	373	18	analysis	analysis	NOUN
cana-4842	373	19	issn	issn	NOUN
cana-4842	373	20	:	:	PUNCT
cana-4842	373	21	1074	1074	NUM
cana-4842	373	22	-	-	PUNCT
cana-4842	373	23	133x	133x	NUM
cana-4842	373	24	vol	vol	VERB
cana-4842	373	25	32	32	NUM
cana-4842	373	26	no	no	NOUN
cana-4842	373	27	.	.	PUNCT
cana-4842	374	1	10s	10	NOUN
cana-4842	374	2	(	(	PUNCT
cana-4842	374	3	2025	2025	NUM
cana-4842	374	4	)	)	PUNCT
cana-4842	374	5	488	488	NUM
cana-4842	374	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4842	375	1	[	[	X
cana-4842	375	2	11	11	NUM
cana-4842	375	3	]	]	X
cana-4842	375	4	cali	cali	ADJ
cana-4842	375	5	,	,	PUNCT
cana-4842	375	6	u.	u.	PROPN
cana-4842	375	7	,	,	PUNCT
cana-4842	375	8	catak	catak	PROPN
cana-4842	375	9	,	,	PUNCT
cana-4842	375	10	f.o	f.o	PROPN
cana-4842	375	11	.	.	PROPN
cana-4842	375	12	&	&	CCONJ
cana-4842	375	13	halden	halden	PROPN
cana-4842	375	14	,	,	PUNCT
cana-4842	375	15	u.	u.	PROPN
cana-4842	375	16	trustworthy	trustworthy	PROPN
cana-4842	375	17	cyber	cyber	PROPN
cana-4842	375	18	-	-	PUNCT
cana-4842	375	19	physical	physical	ADJ
cana-4842	375	20	power	power	NOUN
cana-4842	375	21	systems	system	NOUN
cana-4842	375	22	using	use	VERB
cana-4842	375	23	ai	ai	VERB
cana-4842	375	24	:	:	PUNCT
cana-4842	375	25	dueling	duel	VERB
cana-4842	375	26	algorithms	algorithm	NOUN
cana-4842	375	27	for	for	ADP
cana-4842	375	28	pmu	pmu	PROPN
cana-4842	375	29	anomaly	anomaly	NOUN
cana-4842	375	30	detection	detection	NOUN
cana-4842	375	31	and	and	CCONJ
cana-4842	375	32	cybersecurity	cybersecurity	NOUN
cana-4842	375	33	.	.	PUNCT
cana-4842	376	1	artif	artif	PROPN
cana-4842	376	2	intell	intell	PROPN
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cana-4842	376	4	57	57	NUM
cana-4842	376	5	,	,	PUNCT
cana-4842	376	6	183	183	NUM
cana-4842	376	7	(	(	PUNCT
cana-4842	376	8	2024	2024	NUM
cana-4842	376	9	)	)	PUNCT
cana-4842	376	10	.	.	PUNCT
cana-4842	377	1	https://doi.org/10.1007/s10462-024-10827-x	https://doi.org/10.1007/s10462-024-10827-x	VERB
cana-4842	377	2	[	[	X
cana-4842	377	3	12	12	NUM
cana-4842	377	4	]	]	X
cana-4842	377	5	kim	kim	PROPN
cana-4842	377	6	,	,	PUNCT
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cana-4842	377	8	,	,	PUNCT
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cana-4842	377	10	,	,	PUNCT
cana-4842	377	11	t.	t.	PROPN
cana-4842	377	12	industrial	industrial	ADJ
cana-4842	377	13	network	network	NOUN
cana-4842	377	14	-	-	PUNCT
cana-4842	377	15	based	base	VERB
cana-4842	377	16	behavioral	behavioral	ADJ
cana-4842	377	17	anomaly	anomaly	NOUN
cana-4842	377	18	detection	detection	NOUN
cana-4842	377	19	in	in	ADP
cana-4842	377	20	ai	ai	ADJ
cana-4842	377	21	-	-	PUNCT
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cana-4842	377	24	manufacturing	manufacturing	NOUN
cana-4842	377	25	.	.	PUNCT
cana-4842	378	1	j	j	PROPN
cana-4842	378	2	supercomput	supercomput	VERB
cana-4842	378	3	78	78	NUM
cana-4842	378	4	,	,	PUNCT
cana-4842	378	5	13554–13563	13554–13563	NUM
cana-4842	378	6	(	(	PUNCT
cana-4842	378	7	2022	2022	NUM
cana-4842	378	8	)	)	PUNCT
cana-4842	378	9	.	.	PUNCT
cana-4842	379	1	https://doi.org/10.1007/s11227-02204408-4	https://doi.org/10.1007/s11227-02204408-4	NOUN
cana-4842	379	2	[	[	X
cana-4842	379	3	13	13	NUM
cana-4842	379	4	]	]	PUNCT
cana-4842	379	5	veena	veena	NOUN
cana-4842	379	6	,	,	PUNCT
cana-4842	379	7	r.c	r.c	PROPN
cana-4842	379	8	.	.	PROPN
cana-4842	379	9	,	,	PUNCT
cana-4842	379	10	brahmananda	brahmananda	PROPN
cana-4842	379	11	,	,	PUNCT
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cana-4842	379	13	.	.	PUNCT
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cana-4842	380	6	detection	detection	NOUN
cana-4842	380	7	of	of	ADP
cana-4842	380	8	advanced	advanced	ADJ
cana-4842	380	9	persistent	persistent	ADJ
cana-4842	380	10	threat	threat	NOUN
cana-4842	380	11	(	(	PUNCT
cana-4842	380	12	apt	apt	ADJ
cana-4842	380	13	)	)	PUNCT
cana-4842	380	14	in	in	ADP
cana-4842	380	15	high	high	ADJ
cana-4842	380	16	volume	volume	NOUN
cana-4842	380	17	network	network	NOUN
cana-4842	380	18	traffic	traffic	NOUN
cana-4842	380	19	.	.	PUNCT
cana-4842	381	1	multimed	multime	VERB
cana-4842	381	2	tools	tool	NOUN
cana-4842	381	3	appl	appl	NOUN
cana-4842	381	4	83	83	NUM
cana-4842	381	5	,	,	PUNCT
cana-4842	381	6	32123–32139	32123–32139	NUM
cana-4842	381	7	(	(	PUNCT
cana-4842	381	8	2024	2024	NUM
cana-4842	381	9	)	)	PUNCT
cana-4842	381	10	.	.	PUNCT
cana-4842	382	1	https://doi.org/10.1007/s11042-023-16684-0	https://doi.org/10.1007/s11042-023-16684-0	NUM
cana-4842	383	1	[	[	X
cana-4842	383	2	14	14	NUM
cana-4842	383	3	]	]	PUNCT
cana-4842	383	4	dhanaraj	dhanaraj	NOUN
cana-4842	383	5	,	,	PUNCT
cana-4842	383	6	r.k	r.k	PROPN
cana-4842	383	7	.	.	PROPN
cana-4842	383	8	,	,	PUNCT
cana-4842	383	9	singh	singh	PROPN
cana-4842	383	10	,	,	PUNCT
cana-4842	383	11	a.	a.	PROPN
cana-4842	383	12	&	&	CCONJ
cana-4842	383	13	nayyar	nayyar	PROPN
cana-4842	383	14	,	,	PUNCT
cana-4842	383	15	a.	a.	NOUN
cana-4842	383	16	matyas	matyas	PROPN
cana-4842	383	17	–	–	PUNCT
cana-4842	383	18	meyer	meyer	PROPN
cana-4842	383	19	oseas	osea	NOUN
cana-4842	383	20	based	base	VERB
cana-4842	383	21	device	device	NOUN
cana-4842	383	22	profiling	profiling	NOUN
cana-4842	383	23	for	for	ADP
cana-4842	383	24	anomaly	anomaly	NOUN
cana-4842	383	25	detection	detection	NOUN
cana-4842	383	26	via	via	ADP
cana-4842	383	27	deep	deep	ADJ
cana-4842	383	28	reinforcement	reinforcement	NOUN
cana-4842	383	29	learning	learning	NOUN
cana-4842	383	30	(	(	PUNCT
cana-4842	383	31	mmodpad	mmodpad	NOUN
cana-4842	383	32	-	-	PUNCT
cana-4842	383	33	drl	drl	PROPN
cana-4842	383	34	)	)	PUNCT
cana-4842	383	35	in	in	ADP
cana-4842	383	36	zero	zero	NUM
cana-4842	383	37	trust	trust	NOUN
cana-4842	383	38	security	security	NOUN
cana-4842	383	39	network	network	NOUN
cana-4842	383	40	.	.	PUNCT
cana-4842	384	1	computing	compute	VERB
cana-4842	384	2	106	106	NUM
cana-4842	384	3	,	,	PUNCT
cana-4842	384	4	1933–1962	1933–1962	NUM
cana-4842	384	5	(	(	PUNCT
cana-4842	384	6	2024	2024	NUM
cana-4842	384	7	)	)	PUNCT
cana-4842	384	8	.	.	PUNCT
cana-4842	385	1	https://doi.org/10.1007/s00607-024-01269-y	https://doi.org/10.1007/s00607-024-01269-y	X
cana-4842	386	1	[	[	X
cana-4842	386	2	15	15	NUM
cana-4842	386	3	]	]	X
cana-4842	386	4	salman	salman	PROPN
cana-4842	386	5	,	,	PUNCT
cana-4842	386	6	o.	o.	PROPN
cana-4842	386	7	,	,	PUNCT
cana-4842	386	8	elhajj	elhajj	NOUN
cana-4842	386	9	,	,	PUNCT
cana-4842	386	10	i.h	i.h	PROPN
cana-4842	386	11	.	.	PROPN
cana-4842	386	12	,	,	PUNCT
cana-4842	386	13	kayssi	kayssi	PROPN
cana-4842	386	14	,	,	PUNCT
cana-4842	386	15	a.	a.	PROPN
cana-4842	386	16	et	et	PROPN
cana-4842	386	17	al	al	PROPN
cana-4842	386	18	.	.	PROPN
cana-4842	386	19	mutated	mutate	VERB
cana-4842	386	20	traffic	traffic	NOUN
cana-4842	386	21	detection	detection	NOUN
cana-4842	386	22	and	and	CCONJ
cana-4842	386	23	recovery	recovery	NOUN
cana-4842	386	24	:	:	PUNCT
cana-4842	386	25	an	an	DET
cana-4842	386	26	adversarial	adversarial	ADJ
cana-4842	386	27	generative	generative	ADJ
cana-4842	386	28	deep	deep	ADJ
cana-4842	386	29	learning	learning	NOUN
cana-4842	386	30	approach	approach	NOUN
cana-4842	386	31	.	.	PUNCT
cana-4842	387	1	ann	ann	AUX
cana-4842	387	2	.	.	PUNCT
cana-4842	387	3	telecommun	telecommun	PROPN
cana-4842	387	4	.	.	PROPN
cana-4842	388	1	77	77	NUM
cana-4842	388	2	,	,	PUNCT
cana-4842	388	3	395–406	395–406	NUM
cana-4842	388	4	(	(	PUNCT
cana-4842	388	5	2022	2022	NUM
cana-4842	388	6	)	)	PUNCT
cana-4842	388	7	.	.	PUNCT
cana-4842	389	1	https://doi.org/10.1007/s12243-022-00909-8	https://doi.org/10.1007/s12243-022-00909-8	NOUN
cana-4842	390	1	[	[	X
cana-4842	390	2	16	16	NUM
cana-4842	390	3	]	]	X
cana-4842	390	4	arazzi	arazzi	PROPN
cana-4842	390	5	,	,	PUNCT
cana-4842	390	6	m.	m.	NOUN
cana-4842	390	7	,	,	PUNCT
cana-4842	390	8	nicolazzo	nicolazzo	PROPN
cana-4842	390	9	,	,	PUNCT
cana-4842	390	10	s.	s.	PROPN
cana-4842	390	11	&	&	CCONJ
cana-4842	390	12	nocera	nocera	PROPN
cana-4842	390	13	,	,	PUNCT
cana-4842	390	14	a.	a.	NOUN
cana-4842	390	15	a	a	DET
cana-4842	390	16	fully	fully	ADV
cana-4842	390	17	privacy	privacy	NOUN
cana-4842	390	18	-	-	PUNCT
cana-4842	390	19	preserving	preserve	VERB
cana-4842	390	20	solution	solution	NOUN
cana-4842	390	21	for	for	ADP
cana-4842	390	22	anomaly	anomaly	NOUN
cana-4842	390	23	detection	detection	NOUN
cana-4842	390	24	in	in	ADP
cana-4842	390	25	iot	iot	NOUN
cana-4842	390	26	using	use	VERB
cana-4842	390	27	federated	federated	ADJ
cana-4842	390	28	learning	learning	NOUN
cana-4842	390	29	and	and	CCONJ
cana-4842	390	30	homomorphic	homomorphic	ADJ
cana-4842	390	31	encryption	encryption	NOUN
cana-4842	390	32	.	.	PUNCT
cana-4842	391	1	inf	inf	PROPN
cana-4842	391	2	syst	syst	PROPN
cana-4842	391	3	front	front	NOUN
cana-4842	391	4	(	(	PUNCT
cana-4842	391	5	2023	2023	NUM
cana-4842	391	6	)	)	PUNCT
cana-4842	391	7	.	.	PUNCT
cana-4842	391	8	https://doi.org/10.1007/s10796-023-10443-0	https://doi.org/10.1007/s10796-023-10443-0	PROPN
cana-4842	392	1	[	[	X
cana-4842	392	2	17	17	NUM
cana-4842	392	3	]	]	X
cana-4842	392	4	kasim	kasim	PROPN
cana-4842	392	5	,	,	PUNCT
cana-4842	392	6	ö.	ö.	VERB
cana-4842	392	7	hybrid	hybrid	NOUN
cana-4842	392	8	deeper	deep	ADJ
cana-4842	392	9	neural	neural	ADJ
cana-4842	392	10	network	network	NOUN
cana-4842	392	11	model	model	NOUN
cana-4842	392	12	for	for	ADP
cana-4842	392	13	detection	detection	NOUN
cana-4842	392	14	of	of	ADP
cana-4842	392	15	the	the	DET
cana-4842	392	16	domain	domain	NOUN
cana-4842	392	17	name	name	NOUN
cana-4842	392	18	system	system	NOUN
cana-4842	392	19	over	over	ADP
cana-4842	392	20	hypertext	hypertext	NOUN
cana-4842	392	21	markup	markup	NOUN
cana-4842	392	22	language	language	NOUN
cana-4842	392	23	protocol	protocol	NOUN
cana-4842	392	24	traffic	traffic	NOUN
cana-4842	392	25	flooding	flooding	NOUN
cana-4842	392	26	attacks	attack	NOUN
cana-4842	392	27	.	.	PUNCT
cana-4842	393	1	soft	soft	ADJ
cana-4842	393	2	comput	comput	NOUN
cana-4842	393	3	27	27	NUM
cana-4842	393	4	,	,	PUNCT
cana-4842	393	5	5923–5932	5923–5932	NUM
cana-4842	393	6	(	(	PUNCT
cana-4842	393	7	2023	2023	NUM
cana-4842	393	8	)	)	PUNCT
cana-4842	393	9	.	.	PUNCT
cana-4842	393	10	https://doi.org/10.1007/s00500-022-07631-6	https://doi.org/10.1007/s00500-022-07631-6	NUM
cana-4842	394	1	[	[	X
cana-4842	394	2	18	18	NUM
cana-4842	394	3	]	]	SYM
cana-4842	394	4	iliyasu	iliyasu	PROPN
cana-4842	394	5	,	,	PUNCT
cana-4842	394	6	a.s	a.s	PROPN
cana-4842	394	7	.	.	PROPN
cana-4842	394	8	,	,	PUNCT
cana-4842	394	9	deng	deng	PROPN
cana-4842	394	10	,	,	PUNCT
cana-4842	394	11	h.	h.	PROPN
cana-4842	394	12	n	n	CCONJ
cana-4842	394	13	-	-	PUNCT
cana-4842	394	14	gan	gan	PROPN
cana-4842	394	15	:	:	PUNCT
cana-4842	394	16	a	a	DET
cana-4842	394	17	novel	novel	ADJ
cana-4842	394	18	anomaly	anomaly	NOUN
cana-4842	394	19	-	-	PUNCT
cana-4842	394	20	based	base	VERB
cana-4842	394	21	network	network	NOUN
cana-4842	394	22	intrusion	intrusion	NOUN
cana-4842	394	23	detection	detection	NOUN
cana-4842	394	24	with	with	ADP
cana-4842	394	25	generative	generative	ADJ
cana-4842	394	26	adversarial	adversarial	ADJ
cana-4842	394	27	networks	network	NOUN
cana-4842	394	28	.	.	PUNCT
cana-4842	395	1	int	int	NOUN
cana-4842	395	2	.	.	PUNCT
cana-4842	396	1	j.	j.	PROPN
cana-4842	396	2	inf	inf	PROPN
cana-4842	396	3	.	.	PUNCT
cana-4842	396	4	tecnol	tecnol	PROPN
cana-4842	396	5	.	.	PUNCT
cana-4842	397	1	14	14	NUM
cana-4842	397	2	,	,	PUNCT
cana-4842	397	3	3365–3375	3365–3375	NUM
cana-4842	397	4	(	(	PUNCT
cana-4842	397	5	2022	2022	NUM
cana-4842	397	6	)	)	PUNCT
cana-4842	397	7	.	.	PUNCT
cana-4842	398	1	https://doi.org/10.1007/s41870-022-00910-3	https://doi.org/10.1007/s41870-022-00910-3	NUM
cana-4842	399	1	[	[	X
cana-4842	399	2	19	19	NUM
cana-4842	399	3	]	]	X
cana-4842	399	4	darla	darla	PROPN
cana-4842	399	5	,	,	PUNCT
cana-4842	399	6	s.	s.	PROPN
cana-4842	399	7	,	,	PUNCT
cana-4842	399	8	naveena	naveena	PROPN
cana-4842	399	9	,	,	PUNCT
cana-4842	399	10	c.	c.	PROPN
cana-4842	399	11	improved	improve	VERB
cana-4842	399	12	adaptive	adaptive	ADJ
cana-4842	399	13	spiral	spiral	ADJ
cana-4842	399	14	seagull	seagull	NOUN
cana-4842	399	15	optimizer	optimizer	NOUN
cana-4842	399	16	for	for	ADP
cana-4842	399	17	intrusion	intrusion	NOUN
cana-4842	399	18	detection	detection	NOUN
cana-4842	399	19	and	and	CCONJ
cana-4842	399	20	mitigation	mitigation	NOUN
cana-4842	399	21	in	in	ADP
cana-4842	399	22	wireless	wireless	ADJ
cana-4842	399	23	sensor	sensor	NOUN
cana-4842	399	24	network	network	NOUN
cana-4842	399	25	.	.	PUNCT
cana-4842	400	1	sn	sn	PROPN
cana-4842	400	2	comput	comput	PROPN
cana-4842	400	3	.	.	PUNCT
cana-4842	401	1	sci	sci	PROPN
cana-4842	401	2	.	.	PROPN
cana-4842	401	3	5	5	NUM
cana-4842	401	4	,	,	PUNCT
cana-4842	401	5	394	394	NUM
cana-4842	401	6	(	(	PUNCT
cana-4842	401	7	2024	2024	NUM
cana-4842	401	8	)	)	PUNCT
cana-4842	401	9	.	.	PUNCT
cana-4842	402	1	https://doi.org/10.1007/s42979-024-02725-4	https://doi.org/10.1007/s42979-024-02725-4	NUM
cana-4842	403	1	[	[	X
cana-4842	403	2	20	20	NUM
cana-4842	403	3	]	]	X
cana-4842	403	4	ahuja	ahuja	PROPN
cana-4842	403	5	,	,	PUNCT
cana-4842	403	6	n.	n.	PROPN
cana-4842	403	7	,	,	PUNCT
cana-4842	403	8	mukhopadhyay	mukhopadhyay	PROPN
cana-4842	403	9	,	,	PUNCT
cana-4842	403	10	d.	d.	PROPN
cana-4842	403	11	&	&	CCONJ
cana-4842	403	12	singal	singal	PROPN
cana-4842	403	13	,	,	PUNCT
cana-4842	403	14	g.	g.	PROPN
cana-4842	403	15	ddos	ddos	PROPN
cana-4842	403	16	attack	attack	PROPN
cana-4842	403	17	traffic	traffic	NOUN
cana-4842	403	18	classification	classification	NOUN
cana-4842	403	19	in	in	ADP
cana-4842	403	20	sdn	sdn	NOUN
cana-4842	403	21	using	use	VERB
cana-4842	403	22	deep	deep	ADJ
cana-4842	403	23	learning	learning	NOUN
cana-4842	403	24	.	.	PUNCT
cana-4842	404	1	pers	per	NOUN
cana-4842	404	2	ubiquit	ubiquit	NOUN
cana-4842	404	3	comput	comput	ADJ
cana-4842	404	4	28	28	NUM
cana-4842	404	5	,	,	PUNCT
cana-4842	404	6	417–429	417–429	NUM
cana-4842	404	7	(	(	PUNCT
cana-4842	404	8	2024	2024	NUM
cana-4842	404	9	)	)	PUNCT
cana-4842	404	10	.	.	PUNCT
cana-4842	405	1	https://doi.org/10.1007/s00779-02301785-2	https://doi.org/10.1007/s00779-02301785-2	PROPN
cana-4842	405	2	[	[	X
cana-4842	405	3	21	21	NUM
cana-4842	405	4	]	]	PUNCT
cana-4842	405	5	alangari	alangari	PROPN
cana-4842	405	6	,	,	PUNCT
cana-4842	405	7	s.	s.	PROPN
cana-4842	405	8	an	an	DET
cana-4842	405	9	unsupervised	unsupervised	ADJ
cana-4842	405	10	machine	machine	NOUN
cana-4842	405	11	learning	learn	VERB
cana-4842	405	12	algorithm	algorithm	NOUN
cana-4842	405	13	for	for	ADP
cana-4842	405	14	attack	attack	NOUN
cana-4842	405	15	and	and	CCONJ
cana-4842	405	16	anomaly	anomaly	NOUN
cana-4842	405	17	detection	detection	NOUN
cana-4842	405	18	in	in	ADP
cana-4842	405	19	iot	iot	ADJ
cana-4842	405	20	sensors	sensor	NOUN
cana-4842	405	21	.	.	PUNCT
cana-4842	406	1	wireless	wireless	ADJ
cana-4842	406	2	pers	per	NOUN
cana-4842	406	3	commun	commun	X
cana-4842	406	4	(	(	PUNCT
cana-4842	406	5	2024	2024	NUM
cana-4842	406	6	)	)	PUNCT
cana-4842	406	7	.	.	PUNCT
cana-4842	407	1	https://doi.org/10.1007/s11277-023-10811-8	https://doi.org/10.1007/s11277-023-10811-8	NUM
cana-4842	408	1	[	[	X
cana-4842	408	2	22	22	NUM
cana-4842	408	3	]	]	X
cana-4842	408	4	abbasi	abbasi	PROPN
cana-4842	408	5	,	,	PUNCT
cana-4842	408	6	a.a	a.a	PROPN
cana-4842	408	7	.	.	PROPN
cana-4842	408	8	,	,	PUNCT
cana-4842	408	9	zameer	zameer	NOUN
cana-4842	408	10	,	,	PUNCT
cana-4842	408	11	a.	a.	PROPN
cana-4842	408	12	&	&	CCONJ
cana-4842	408	13	raja	raja	PROPN
cana-4842	408	14	,	,	PUNCT
cana-4842	408	15	m.a.z	m.a.z	PROPN
cana-4842	408	16	.	.	PUNCT
cana-4842	408	17	an	an	DET
cana-4842	408	18	enhanced	enhanced	ADJ
cana-4842	408	19	strategy	strategy	NOUN
cana-4842	408	20	for	for	ADP
cana-4842	408	21	minority	minority	NOUN
cana-4842	408	22	class	class	NOUN
cana-4842	408	23	detection	detection	NOUN
cana-4842	408	24	using	use	VERB
cana-4842	408	25	bidirectional	bidirectional	ADJ
cana-4842	408	26	gru	gru	NOUN
cana-4842	408	27	employing	employ	VERB
cana-4842	408	28	penalized	penalize	VERB
cana-4842	408	29	cross	cross	NOUN
cana-4842	408	30	-	-	NOUN
cana-4842	408	31	entropy	entropy	ADJ
cana-4842	408	32	and	and	CCONJ
cana-4842	408	33	self	self	NOUN
cana-4842	408	34	-	-	PUNCT
cana-4842	408	35	attention	attention	NOUN
cana-4842	408	36	mechanisms	mechanism	NOUN
cana-4842	408	37	for	for	ADP
cana-4842	408	38	imbalance	imbalance	NOUN
cana-4842	408	39	network	network	NOUN
cana-4842	408	40	traffic	traffic	NOUN
cana-4842	408	41	.	.	PUNCT
cana-4842	409	1	eur	eur	PROPN
cana-4842	409	2	.	.	PUNCT
cana-4842	410	1	phys	phy	NOUN
cana-4842	410	2	.	.	PUNCT
cana-4842	411	1	j.	j.	PROPN
cana-4842	411	2	plus	plus	CCONJ
cana-4842	411	3	139	139	NUM
cana-4842	411	4	,	,	PUNCT
cana-4842	411	5	530	530	NUM
cana-4842	411	6	(	(	PUNCT
cana-4842	411	7	2024	2024	NUM
cana-4842	411	8	)	)	PUNCT
cana-4842	411	9	.	.	PUNCT
cana-4842	412	1	https://doi.org/10.1140/epjp/s13360-024-05320-x	https://doi.org/10.1140/epjp/s13360-024-05320-x	PROPN
cana-4842	413	1	[	[	X
cana-4842	413	2	23	23	NUM
cana-4842	413	3	]	]	X
cana-4842	413	4	pradeepthi	pradeepthi	NOUN
cana-4842	413	5	,	,	PUNCT
cana-4842	413	6	c.	c.	PROPN
cana-4842	413	7	,	,	PUNCT
cana-4842	413	8	maheswari	maheswari	PROPN
cana-4842	413	9	,	,	PUNCT
cana-4842	413	10	b.u	b.u	PROPN
cana-4842	413	11	.	.	PROPN
cana-4842	413	12	network	network	PROPN
cana-4842	413	13	intrusion	intrusion	PROPN
cana-4842	413	14	detection	detection	PROPN
cana-4842	413	15	and	and	CCONJ
cana-4842	413	16	prevention	prevention	NOUN
cana-4842	413	17	strategy	strategy	NOUN
cana-4842	413	18	with	with	ADP
cana-4842	413	19	data	datum	NOUN
cana-4842	413	20	encryption	encryption	NOUN
cana-4842	413	21	using	use	VERB
cana-4842	413	22	hybrid	hybrid	ADJ
cana-4842	413	23	detection	detection	NOUN
cana-4842	413	24	classifier	classifier	NOUN
cana-4842	413	25	.	.	PUNCT
cana-4842	414	1	multimed	multime	VERB
cana-4842	414	2	tools	tool	NOUN
cana-4842	414	3	appl	appl	NOUN
cana-4842	414	4	83	83	NUM
cana-4842	414	5	,	,	PUNCT
cana-4842	414	6	40147–40178	40147–40178	NUM
cana-4842	414	7	(	(	PUNCT
cana-4842	414	8	2024	2024	NUM
cana-4842	414	9	)	)	PUNCT
cana-4842	414	10	.	.	PUNCT
cana-4842	415	1	https://doi.org/10.1007/s11042-023-16853-1	https://doi.org/10.1007/s11042-023-16853-1	NUM
cana-4842	416	1	[	[	X
cana-4842	416	2	24	24	NUM
cana-4842	416	3	]	]	SYM
cana-4842	416	4	gu	gu	NOUN
cana-4842	416	5	,	,	PUNCT
cana-4842	416	6	d.	d.	PROPN
cana-4842	416	7	,	,	PUNCT
cana-4842	416	8	zhang	zhang	PROPN
cana-4842	416	9	,	,	PUNCT
cana-4842	416	10	j.	j.	PROPN
cana-4842	416	11	,	,	PUNCT
cana-4842	416	12	tang	tang	PROPN
cana-4842	416	13	,	,	PUNCT
cana-4842	417	1	z.	z.	PROPN
cana-4842	417	2	et	et	PROPN
cana-4842	417	3	al	al	PROPN
cana-4842	417	4	.	.	PUNCT
cana-4842	418	1	iot	iot	PROPN
cana-4842	418	2	device	device	NOUN
cana-4842	418	3	identification	identification	NOUN
cana-4842	418	4	based	base	VERB
cana-4842	418	5	on	on	ADP
cana-4842	418	6	network	network	NOUN
cana-4842	418	7	traffic	traffic	NOUN
cana-4842	418	8	.	.	PUNCT
cana-4842	419	1	wireless	wireless	ADJ
cana-4842	419	2	netw	netw	NOUN
cana-4842	419	3	(	(	PUNCT
cana-4842	419	4	2024	2024	NUM
cana-4842	419	5	)	)	PUNCT
cana-4842	419	6	.	.	PUNCT
cana-4842	420	1	https://doi.org/10.1007/s11276-024-03832-z	https://doi.org/10.1007/s11276-024-03832-z	PRON
cana-4842	420	2	[	[	X
cana-4842	420	3	25	25	NUM
cana-4842	420	4	]	]	X
cana-4842	420	5	premkumar	premkumar	PROPN
cana-4842	420	6	,	,	PUNCT
cana-4842	420	7	m.	m.	NOUN
cana-4842	420	8	,	,	PUNCT
cana-4842	420	9	ashokkumar	ashokkumar	PROPN
cana-4842	420	10	,	,	PUNCT
cana-4842	420	11	s.r	s.r	PROPN
cana-4842	420	12	.	.	PROPN
cana-4842	420	13	,	,	PUNCT
cana-4842	420	14	jeevanantham	jeevanantham	PROPN
cana-4842	420	15	,	,	PUNCT
cana-4842	420	16	v.	v.	ADP
cana-4842	420	17	et	et	PROPN
cana-4842	420	18	al	al	PROPN
cana-4842	420	19	.	.	PROPN
cana-4842	420	20	scalable	scalable	ADJ
cana-4842	420	21	and	and	CCONJ
cana-4842	420	22	energy	energy	NOUN
cana-4842	420	23	efficient	efficient	ADJ
cana-4842	420	24	cluster	cluster	NOUN
cana-4842	420	25	based	base	VERB
cana-4842	420	26	anomaly	anomaly	NOUN
cana-4842	420	27	detection	detection	NOUN
cana-4842	420	28	against	against	ADP
cana-4842	420	29	denial	denial	NOUN
cana-4842	420	30	of	of	ADP
cana-4842	420	31	service	service	NOUN
cana-4842	420	32	attacks	attack	NOUN
cana-4842	420	33	in	in	ADP
cana-4842	420	34	wireless	wireless	ADJ
cana-4842	420	35	sensor	sensor	NOUN
cana-4842	420	36	networks	network	NOUN
cana-4842	420	37	.	.	PUNCT
cana-4842	421	1	wireless	wireless	ADJ
cana-4842	421	2	pers	per	NOUN
cana-4842	421	3	commun	commun	VERB
cana-4842	421	4	129	129	NUM
cana-4842	421	5	,	,	PUNCT
cana-4842	421	6	2669–2691	2669–2691	NUM
cana-4842	421	7	(	(	PUNCT
cana-4842	421	8	2023	2023	NUM
cana-4842	421	9	)	)	PUNCT
cana-4842	421	10	.	.	PUNCT
cana-4842	422	1	https://doi.org/10.1007/s11277023-10252-3	https://doi.org/10.1007/s11277023-10252-3	PROPN
cana-4842	422	2	https://doi.org/10.1007/s10462-024-10827-x	https://doi.org/10.1007/s10462-024-10827-x	PROPN
cana-4842	422	3	https://doi.org/10.1007/s11227-022-04408-4	https://doi.org/10.1007/s11227-022-04408-4	PROPN
cana-4842	422	4	https://doi.org/10.1007/s11227-022-04408-4	https://doi.org/10.1007/s11227-022-04408-4	NUM
cana-4842	422	5	https://doi.org/10.1007/s11042-023-16684-0	https://doi.org/10.1007/s11042-023-16684-0	NUM
cana-4842	422	6	https://doi.org/10.1007/s00607-024-01269-y	https://doi.org/10.1007/s00607-024-01269-y	ADP
cana-4842	422	7	https://doi.org/10.1007/s12243-022-00909-8	https://doi.org/10.1007/s12243-022-00909-8	PROPN
cana-4842	422	8	https://doi.org/10.1007/s10796-023-10443-0	https://doi.org/10.1007/s10796-023-10443-0	PROPN
cana-4842	422	9	https://doi.org/10.1007/s00500-022-07631-6	https://doi.org/10.1007/s00500-022-07631-6	NUM
cana-4842	422	10	https://doi.org/10.1007/s41870-022-00910-3	https://doi.org/10.1007/s41870-022-00910-3	NUM
cana-4842	422	11	https://doi.org/10.1007/s42979-024-02725-4	https://doi.org/10.1007/s42979-024-02725-4	NUM
cana-4842	422	12	https://doi.org/10.1007/s00779-023-01785-2	https://doi.org/10.1007/s00779-023-01785-2	NUM
cana-4842	422	13	https://doi.org/10.1007/s00779-023-01785-2	https://doi.org/10.1007/s00779-023-01785-2	NUM
cana-4842	422	14	https://doi.org/10.1007/s11277-023-10811-8	https://doi.org/10.1007/s11277-023-10811-8	NUM
cana-4842	422	15	https://doi.org/10.1140/epjp/s13360-024-05320-x	https://doi.org/10.1140/epjp/s13360-024-05320-x	PROPN
cana-4842	422	16	https://doi.org/10.1007/s11042-023-16853-1	https://doi.org/10.1007/s11042-023-16853-1	NUM
cana-4842	422	17	https://doi.org/10.1007/s11276-024-03832-z	https://doi.org/10.1007/s11276-024-03832-z	NUM
cana-4842	422	18	https://doi.org/10.1007/s11277-023-10252-3	https://doi.org/10.1007/s11277-023-10252-3	NUM
cana-4842	422	19	https://doi.org/10.1007/s11277-023-10252-3	https://doi.org/10.1007/s11277-023-10252-3	NUM