id	sid	tid	token	lemma	pos
cana-4166	1	1	communications	communication	NOUN
cana-4166	1	2	on	on	ADP
cana-4166	1	3	applied	apply	VERB
cana-4166	1	4	nonlinear	nonlinear	ADJ
cana-4166	1	5	analysis	analysis	NOUN
cana-4166	1	6	issn	issn	NOUN
cana-4166	1	7	:	:	PUNCT
cana-4166	1	8	1074	1074	NUM
cana-4166	1	9	-	-	PUNCT
cana-4166	1	10	133x	133x	NUM
cana-4166	1	11	vol	vol	NOUN
cana-4166	1	12	32	32	NUM
cana-4166	1	13	no	no	NOUN
cana-4166	1	14	.	.	PUNCT
cana-4166	2	1	9s	9s	NUM
cana-4166	2	2	(	(	PUNCT
cana-4166	2	3	2025	2025	NUM
cana-4166	2	4	)	)	PUNCT
cana-4166	2	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	2	6	1409	1409	NUM
cana-4166	2	7	quantum	quantum	NOUN
cana-4166	2	8	-	-	PUNCT
cana-4166	2	9	enhanced	enhance	VERB
cana-4166	2	10	ddos	ddos	NOUN
cana-4166	2	11	detection	detection	NOUN
cana-4166	2	12	in	in	ADP
cana-4166	2	13	5	5	NUM
cana-4166	2	14	g	g	NOUN
cana-4166	2	15	cloud	cloud	NOUN
cana-4166	2	16	networks	network	NOUN
cana-4166	2	17	using	use	VERB
cana-4166	2	18	bottleneck	bottleneck	NOUN
cana-4166	2	19	attention	attention	NOUN
cana-4166	2	20	mechanism	mechanism	NOUN
cana-4166	2	21	anukriti	anukriti	NOUN
cana-4166	2	22	naithani	naithani	ADJ
cana-4166	2	23	1	1	NUM
cana-4166	2	24	*	*	NUM
cana-4166	2	25	,	,	PUNCT
cana-4166	2	26	shailendra	shailendra	PROPN
cana-4166	2	27	narayan	narayan	PROPN
cana-4166	2	28	singh2	singh2	PROPN
cana-4166	3	1	1*scholar	1*scholar	NUM
cana-4166	3	2	,	,	PUNCT
cana-4166	3	3	amity	amity	NOUN
cana-4166	3	4	school	school	NOUN
cana-4166	3	5	of	of	ADP
cana-4166	3	6	engineering	engineering	NOUN
cana-4166	3	7	&	&	CCONJ
cana-4166	3	8	technology	technology	PROPN
cana-4166	3	9	,	,	PUNCT
cana-4166	3	10	amity	amity	NOUN
cana-4166	3	11	university	university	PROPN
cana-4166	3	12	,	,	PUNCT
cana-4166	3	13	noida	noida	PROPN
cana-4166	3	14	,	,	PUNCT
cana-4166	3	15	india	india	PROPN
cana-4166	3	16	.	.	PUNCT
cana-4166	4	1	mail	mail	NOUN
cana-4166	5	1	i	i	NOUN
cana-4166	5	2	d	d	PROPN
cana-4166	5	3	anni11180@gmail.com	anni11180@gmail.com	X
cana-4166	6	1	2professor	2professor	NUM
cana-4166	6	2	,	,	PUNCT
cana-4166	6	3	amity	amity	NOUN
cana-4166	6	4	school	school	NOUN
cana-4166	6	5	of	of	ADP
cana-4166	6	6	engineering	engineering	NOUN
cana-4166	6	7	&	&	CCONJ
cana-4166	6	8	technology	technology	PROPN
cana-4166	6	9	,	,	PUNCT
cana-4166	6	10	amity	amity	NOUN
cana-4166	6	11	university	university	PROPN
cana-4166	6	12	,	,	PUNCT
cana-4166	6	13	noida	noida	PROPN
cana-4166	6	14	,	,	PUNCT
cana-4166	6	15	india	india	PROPN
cana-4166	6	16	,	,	PUNCT
cana-4166	6	17	mail	mail	NOUN
cana-4166	6	18	i	i	NOUN
cana-4166	6	19	d	d	PROPN
cana-4166	6	20	snsingh36@amity.edu	snsingh36@amity.edu	PROPN
cana-4166	6	21	article	article	NOUN
cana-4166	6	22	history	history	NOUN
cana-4166	6	23	:	:	PUNCT
cana-4166	6	24	received	receive	VERB
cana-4166	6	25	:	:	PUNCT
cana-4166	6	26	12	12	NUM
cana-4166	6	27	-	-	SYM
cana-4166	6	28	01	01	NUM
cana-4166	6	29	-	-	PUNCT
cana-4166	6	30	2025	2025	NUM
cana-4166	6	31	revised	revise	VERB
cana-4166	6	32	:	:	PUNCT
cana-4166	6	33	15	15	NUM
cana-4166	6	34	-	-	NUM
cana-4166	6	35	02	02	NUM
cana-4166	6	36	-	-	PUNCT
cana-4166	6	37	2025	2025	NUM
cana-4166	6	38	accepted	accept	VERB
cana-4166	6	39	:	:	PUNCT
cana-4166	6	40	01	01	NUM
cana-4166	6	41	-	-	SYM
cana-4166	6	42	03	03	NUM
cana-4166	6	43	-	-	PUNCT
cana-4166	6	44	2025	2025	NUM
cana-4166	6	45	abstract	abstract	NOUN
cana-4166	6	46	:	:	PUNCT
cana-4166	6	47	the	the	DET
cana-4166	6	48	rapid	rapid	ADJ
cana-4166	6	49	expansion	expansion	NOUN
cana-4166	6	50	of	of	ADP
cana-4166	6	51	5	5	NUM
cana-4166	6	52	g	g	NOUN
cana-4166	6	53	networks	network	NOUN
cana-4166	6	54	and	and	CCONJ
cana-4166	6	55	cloud	cloud	NOUN
cana-4166	6	56	computing	computing	NOUN
cana-4166	6	57	has	have	AUX
cana-4166	6	58	heightened	heighten	VERB
cana-4166	6	59	the	the	DET
cana-4166	6	60	risk	risk	NOUN
cana-4166	6	61	of	of	ADP
cana-4166	6	62	“	"	PUNCT
cana-4166	6	63	distributed	distribute	VERB
cana-4166	6	64	denial	denial	NOUN
cana-4166	6	65	of	of	ADP
cana-4166	6	66	service	service	NOUN
cana-4166	6	67	(	(	PUNCT
cana-4166	6	68	ddos)201d	ddos)201d	NOUN
cana-4166	6	69	attacks	attack	NOUN
cana-4166	6	70	,	,	PUNCT
cana-4166	6	71	which	which	PRON
cana-4166	6	72	can	can	AUX
cana-4166	6	73	severely	severely	ADV
cana-4166	6	74	compromise	compromise	VERB
cana-4166	6	75	service	service	NOUN
cana-4166	6	76	availability	availability	NOUN
cana-4166	6	77	and	and	CCONJ
cana-4166	6	78	network	network	NOUN
cana-4166	6	79	performance	performance	NOUN
cana-4166	6	80	.	.	PUNCT
cana-4166	7	1	traditional	traditional	ADJ
cana-4166	7	2	machine	machine	NOUN
cana-4166	7	3	-	-	PUNCT
cana-4166	7	4	learning	learn	VERB
cana-4166	7	5	techniques	technique	NOUN
cana-4166	7	6	have	have	AUX
cana-4166	7	7	shown	show	VERB
cana-4166	7	8	limitations	limitation	NOUN
cana-4166	7	9	in	in	ADP
cana-4166	7	10	accurately	accurately	ADV
cana-4166	7	11	detecting	detect	VERB
cana-4166	7	12	these	these	DET
cana-4166	7	13	evolving	evolve	VERB
cana-4166	7	14	attacks	attack	NOUN
cana-4166	7	15	under	under	ADP
cana-4166	7	16	high	high	ADJ
cana-4166	7	17	-	-	PUNCT
cana-4166	7	18	traffic	traffic	NOUN
cana-4166	7	19	conditions	condition	NOUN
cana-4166	7	20	,	,	PUNCT
cana-4166	7	21	especially	especially	ADV
cana-4166	7	22	in	in	ADP
cana-4166	7	23	5	5	NUM
cana-4166	7	24	g	g	NOUN
cana-4166	7	25	environments	environment	NOUN
cana-4166	7	26	.	.	PUNCT
cana-4166	8	1	this	this	DET
cana-4166	8	2	research	research	NOUN
cana-4166	8	3	proposes	propose	VERB
cana-4166	8	4	an	an	DET
cana-4166	8	5	advanced	advanced	ADJ
cana-4166	8	6	ddos	ddos	NOUN
cana-4166	8	7	detection	detection	NOUN
cana-4166	8	8	framework	framework	NOUN
cana-4166	8	9	utilizing	utilize	VERB
cana-4166	8	10	a	a	DET
cana-4166	8	11	“	"	PUNCT
cana-4166	8	12	quantum	quantum	ADJ
cana-4166	8	13	convolutional	convolutional	ADJ
cana-4166	8	14	neural	neural	ADJ
cana-4166	8	15	network	network	NOUN
cana-4166	8	16	(	(	PUNCT
cana-4166	8	17	qcnn	qcnn	PROPN
cana-4166	8	18	)	)	PUNCT
cana-4166	8	19	”	"	PUNCT
cana-4166	8	20	combined	combine	VERB
cana-4166	8	21	with	with	ADP
cana-4166	8	22	a	a	DET
cana-4166	8	23	bottleneck	bottleneck	NOUN
cana-4166	8	24	attention	attention	NOUN
cana-4166	8	25	mechanism	mechanism	NOUN
cana-4166	8	26	.	.	PUNCT
cana-4166	9	1	the	the	DET
cana-4166	9	2	qcnn	qcnn	PROPN
cana-4166	9	3	extracts	extract	VERB
cana-4166	9	4	spatial	spatial	ADJ
cana-4166	9	5	and	and	CCONJ
cana-4166	9	6	temporal	temporal	ADJ
cana-4166	9	7	features	feature	NOUN
cana-4166	9	8	from	from	ADP
cana-4166	9	9	network	network	NOUN
cana-4166	9	10	traffic	traffic	NOUN
cana-4166	9	11	,	,	PUNCT
cana-4166	9	12	while	while	SCONJ
cana-4166	9	13	the	the	DET
cana-4166	9	14	bottleneck	bottleneck	NOUN
cana-4166	9	15	attention	attention	NOUN
cana-4166	9	16	mechanism	mechanism	NOUN
cana-4166	9	17	prioritizes	prioritize	VERB
cana-4166	9	18	critical	critical	ADJ
cana-4166	9	19	patterns	pattern	NOUN
cana-4166	9	20	,	,	PUNCT
cana-4166	9	21	improving	improve	VERB
cana-4166	9	22	accuracy	accuracy	NOUN
cana-4166	9	23	and	and	CCONJ
cana-4166	9	24	computational	computational	ADJ
cana-4166	9	25	efficiency	efficiency	NOUN
cana-4166	9	26	.	.	PUNCT
cana-4166	10	1	the	the	DET
cana-4166	10	2	framework	framework	NOUN
cana-4166	10	3	is	be	AUX
cana-4166	10	4	evaluated	evaluate	VERB
cana-4166	10	5	using	use	VERB
cana-4166	10	6	the	the	DET
cana-4166	10	7	5	5	NUM
cana-4166	10	8	g	g	NOUN
cana-4166	10	9	non	non	ADJ
cana-4166	10	10	-	-	ADJ
cana-4166	10	11	ip	ip	ADJ
cana-4166	10	12	data	datum	NOUN
cana-4166	10	13	delivery	delivery	NOUN
cana-4166	10	14	(	(	PUNCT
cana-4166	10	15	nidd	nidd	PROPN
cana-4166	10	16	)	)	PUNCT
cana-4166	10	17	and	and	CCONJ
cana-4166	10	18	cicddos2019	cicddos2019	VERB
cana-4166	10	19	datasets	dataset	NOUN
cana-4166	10	20	to	to	PART
cana-4166	10	21	ensure	ensure	VERB
cana-4166	10	22	robustness	robustness	NOUN
cana-4166	10	23	across	across	ADP
cana-4166	10	24	diverse	diverse	ADJ
cana-4166	10	25	attack	attack	NOUN
cana-4166	10	26	scenarios	scenario	NOUN
cana-4166	10	27	.	.	PUNCT
cana-4166	11	1	data	datum	NOUN
cana-4166	11	2	preprocessing	preprocesse	VERB
cana-4166	11	3	techniques	technique	NOUN
cana-4166	11	4	,	,	PUNCT
cana-4166	11	5	including	include	VERB
cana-4166	11	6	feature	feature	NOUN
cana-4166	11	7	engineering	engineering	NOUN
cana-4166	11	8	and	and	CCONJ
cana-4166	11	9	normalization	normalization	NOUN
cana-4166	11	10	,	,	PUNCT
cana-4166	11	11	are	be	AUX
cana-4166	11	12	employed	employ	VERB
cana-4166	11	13	to	to	PART
cana-4166	11	14	prepare	prepare	VERB
cana-4166	11	15	the	the	DET
cana-4166	11	16	datasets	dataset	NOUN
cana-4166	11	17	for	for	ADP
cana-4166	11	18	optimal	optimal	ADJ
cana-4166	11	19	model	model	NOUN
cana-4166	11	20	performance	performance	NOUN
cana-4166	11	21	.	.	PUNCT
cana-4166	12	1	the	the	DET
cana-4166	12	2	proposed	propose	VERB
cana-4166	12	3	model	model	NOUN
cana-4166	12	4	performs	perform	VERB
cana-4166	12	5	better	well	ADJ
cana-4166	12	6	than	than	ADP
cana-4166	12	7	conventional	conventional	ADJ
cana-4166	12	8	profound	profound	ADJ
cana-4166	12	9	learning	learning	NOUN
cana-4166	12	10	models	model	NOUN
cana-4166	12	11	,	,	PUNCT
cana-4166	12	12	such	such	ADJ
cana-4166	12	13	as	as	ADP
cana-4166	12	14	“	"	PUNCT
cana-4166	12	15	cnn	cnn	PROPN
cana-4166	12	16	,	,	PUNCT
cana-4166	12	17	lstm	lstm	ADJ
cana-4166	12	18	,	,	PUNCT
cana-4166	12	19	and	and	CCONJ
cana-4166	12	20	bi	bi	ADJ
cana-4166	12	21	-	-	ADJ
cana-4166	12	22	lstm	lstm	ADJ
cana-4166	12	23	”	"	PUNCT
cana-4166	12	24	in	in	ADP
cana-4166	12	25	terms	term	NOUN
cana-4166	12	26	of	of	ADP
cana-4166	12	27	accuracy	accuracy	NOUN
cana-4166	12	28	,	,	PUNCT
cana-4166	12	29	precision	precision	NOUN
cana-4166	12	30	,	,	PUNCT
cana-4166	12	31	recall	recall	NOUN
cana-4166	12	32	,	,	PUNCT
cana-4166	12	33	and	and	CCONJ
cana-4166	12	34	f1	f1	PROPN
cana-4166	12	35	score	score	NOUN
cana-4166	12	36	.	.	PUNCT
cana-4166	13	1	this	this	DET
cana-4166	13	2	study	study	NOUN
cana-4166	13	3	demonstrates	demonstrate	VERB
cana-4166	13	4	that	that	SCONJ
cana-4166	13	5	integrating	integrate	VERB
cana-4166	13	6	quantum	quantum	NOUN
cana-4166	13	7	-	-	PUNCT
cana-4166	13	8	inspired	inspire	VERB
cana-4166	13	9	learning	learning	NOUN
cana-4166	13	10	with	with	ADP
cana-4166	13	11	attention	attention	NOUN
cana-4166	13	12	mechanisms	mechanism	NOUN
cana-4166	13	13	significantly	significantly	ADV
cana-4166	13	14	enhances	enhance	VERB
cana-4166	13	15	ddos	ddo	NOUN
cana-4166	13	16	detection	detection	NOUN
cana-4166	13	17	capabilities	capability	NOUN
cana-4166	13	18	,	,	PUNCT
cana-4166	13	19	making	make	VERB
cana-4166	13	20	it	it	PRON
cana-4166	13	21	an	an	DET
cana-4166	13	22	effective	effective	ADJ
cana-4166	13	23	solution	solution	NOUN
cana-4166	13	24	for	for	ADP
cana-4166	13	25	safeguarding	safeguard	VERB
cana-4166	13	26	5g	5g	NUM
cana-4166	13	27	-	-	PUNCT
cana-4166	13	28	enabled	enable	VERB
cana-4166	13	29	cloud	cloud	NOUN
cana-4166	13	30	environments	environment	NOUN
cana-4166	13	31	.	.	PUNCT
cana-4166	14	1	the	the	DET
cana-4166	14	2	findings	finding	NOUN
cana-4166	14	3	emphasize	emphasize	VERB
cana-4166	14	4	the	the	DET
cana-4166	14	5	importance	importance	NOUN
cana-4166	14	6	of	of	ADP
cana-4166	14	7	advanced	advanced	ADJ
cana-4166	14	8	architectures	architecture	NOUN
cana-4166	14	9	for	for	ADP
cana-4166	14	10	real	real	ADJ
cana-4166	14	11	-	-	PUNCT
cana-4166	14	12	time	time	NOUN
cana-4166	14	13	,	,	PUNCT
cana-4166	14	14	high	high	ADJ
cana-4166	14	15	-	-	PUNCT
cana-4166	14	16	precision	precision	NOUN
cana-4166	14	17	ddos	ddo	NOUN
cana-4166	14	18	detection	detection	NOUN
cana-4166	14	19	,	,	PUNCT
cana-4166	14	20	essential	essential	ADJ
cana-4166	14	21	to	to	ADP
cana-4166	14	22	ensuring	ensure	VERB
cana-4166	14	23	future	future	ADJ
cana-4166	14	24	cloud	cloud	NOUN
cana-4166	14	25	infrastructures	infrastructure	NOUN
cana-4166	14	26	'	'	PART
cana-4166	14	27	security	security	NOUN
cana-4166	14	28	and	and	CCONJ
cana-4166	14	29	reliability	reliability	NOUN
cana-4166	14	30	.	.	PUNCT
cana-4166	15	1	keywords	keyword	NOUN
cana-4166	15	2	:	:	PUNCT
cana-4166	15	3	distributed	distribute	VERB
cana-4166	15	4	denial	denial	NOUN
cana-4166	15	5	of	of	ADP
cana-4166	15	6	service	service	NOUN
cana-4166	15	7	(	(	PUNCT
cana-4166	15	8	ddos	ddos	NOUN
cana-4166	15	9	)	)	PUNCT
cana-4166	15	10	,	,	PUNCT
cana-4166	15	11	machine	machine	NOUN
cana-4166	15	12	learning	learn	VERB
cana-4166	15	13	techniques	technique	NOUN
cana-4166	15	14	,	,	PUNCT
cana-4166	15	15	quantum	quantum	ADJ
cana-4166	15	16	convolutional	convolutional	ADJ
cana-4166	15	17	neural	neural	ADJ
cana-4166	15	18	network	network	NOUN
cana-4166	15	19	(	(	PUNCT
cana-4166	15	20	qcnn	qcnn	PROPN
cana-4166	15	21	)	)	PUNCT
cana-4166	15	22	,	,	PUNCT
cana-4166	15	23	bottleneck	bottleneck	NOUN
cana-4166	15	24	attention	attention	NOUN
cana-4166	15	25	mechanism	mechanism	NOUN
cana-4166	15	26	.	.	PUNCT
cana-4166	16	1	i	i	PRON
cana-4166	16	2	introduction	introduction	NOUN
cana-4166	16	3	flooding	flooding	NOUN
cana-4166	16	4	,	,	PUNCT
cana-4166	16	5	ping	ping	NOUN
cana-4166	16	6	of	of	ADP
cana-4166	16	7	death	death	NOUN
cana-4166	16	8	,	,	PUNCT
cana-4166	16	9	teardrop	teardrop	PROPN
cana-4166	16	10	,	,	PUNCT
cana-4166	16	11	smurf	smurf	NOUN
cana-4166	16	12	,	,	PUNCT
cana-4166	16	13	and	and	CCONJ
cana-4166	16	14	land	land	NOUN
cana-4166	16	15	attacks	attack	NOUN
cana-4166	16	16	were	be	AUX
cana-4166	16	17	among	among	ADP
cana-4166	16	18	the	the	DET
cana-4166	16	19	many	many	ADJ
cana-4166	16	20	simple	simple	ADJ
cana-4166	16	21	techniques	technique	NOUN
cana-4166	16	22	used	use	VERB
cana-4166	16	23	in	in	ADP
cana-4166	16	24	denial	denial	NOUN
cana-4166	16	25	-	-	PUNCT
cana-4166	16	26	of	of	ADP
cana-4166	16	27	-	-	PUNCT
cana-4166	16	28	service	service	NOUN
cana-4166	16	29	(	(	PUNCT
cana-4166	16	30	dos	do	NOUN
cana-4166	16	31	)	)	PUNCT
cana-4166	16	32	attacks	attack	NOUN
cana-4166	16	33	before	before	ADP
cana-4166	16	34	the	the	DET
cana-4166	16	35	year	year	NOUN
cana-4166	16	36	2000	2000	NUM
cana-4166	17	1	[	[	X
cana-4166	17	2	1	1	NUM
cana-4166	17	3	]	]	PUNCT
cana-4166	17	4	.	.	PUNCT
cana-4166	18	1	but	but	CCONJ
cana-4166	18	2	since	since	SCONJ
cana-4166	18	3	then	then	ADV
cana-4166	18	4	,	,	PUNCT
cana-4166	18	5	bad	bad	ADJ
cana-4166	18	6	actors	actor	NOUN
cana-4166	18	7	have	have	AUX
cana-4166	18	8	taken	take	VERB
cana-4166	18	9	use	use	NOUN
cana-4166	18	10	of	of	ADP
cana-4166	18	11	distributed	distribute	VERB
cana-4166	18	12	denial	denial	NOUN
cana-4166	18	13	of	of	ADP
cana-4166	18	14	service	service	NOUN
cana-4166	18	15	(	(	PUNCT
cana-4166	18	16	ddos	ddo	NOUN
cana-4166	18	17	)	)	PUNCT
cana-4166	18	18	attacks	attack	NOUN
cana-4166	18	19	against	against	ADP
cana-4166	18	20	dns	dns	NOUN
cana-4166	18	21	routing	routing	NOUN
cana-4166	18	22	servers	server	NOUN
cana-4166	18	23	to	to	PART
cana-4166	18	24	wreak	wreak	VERB
cana-4166	18	25	havoc	havoc	NOUN
cana-4166	18	26	on	on	ADP
cana-4166	18	27	urls	url	NOUN
cana-4166	18	28	and	and	CCONJ
cana-4166	18	29	ip	ip	PRON
cana-4166	18	30	addresses	address	NOUN
cana-4166	18	31	throughout	throughout	ADP
cana-4166	18	32	the	the	DET
cana-4166	18	33	web	web	NOUN
cana-4166	18	34	.	.	PUNCT
cana-4166	19	1	companies	company	NOUN
cana-4166	19	2	hurriedly	hurriedly	ADV
cana-4166	19	3	built	build	VERB
cana-4166	19	4	cyber	cyber	NOUN
cana-4166	19	5	defenses	defense	NOUN
cana-4166	19	6	in	in	ADP
cana-4166	19	7	response	response	NOUN
cana-4166	19	8	to	to	ADP
cana-4166	19	9	this	this	DET
cana-4166	19	10	type	type	NOUN
cana-4166	19	11	of	of	ADP
cana-4166	19	12	cybercrime	cybercrime	NOUN
cana-4166	19	13	;	;	PUNCT
cana-4166	19	14	nevertheless	nevertheless	ADV
cana-4166	19	15	,	,	PUNCT
cana-4166	19	16	distributed	distribute	VERB
cana-4166	19	17	denial	denial	NOUN
cana-4166	19	18	of	of	ADP
cana-4166	19	19	service	service	NOUN
cana-4166	19	20	(	(	PUNCT
cana-4166	19	21	ddos	ddo	NOUN
cana-4166	19	22	)	)	PUNCT
cana-4166	19	23	assaults	assault	NOUN
cana-4166	19	24	emerged	emerge	VERB
cana-4166	19	25	around	around	ADP
cana-4166	19	26	2005	2005	NUM
cana-4166	19	27	,	,	PUNCT
cana-4166	19	28	using	use	VERB
cana-4166	19	29	many	many	ADJ
cana-4166	19	30	botnets	botnet	NOUN
cana-4166	19	31	to	to	PART
cana-4166	19	32	overwhelm	overwhelm	VERB
cana-4166	19	33	the	the	DET
cana-4166	19	34	defensive	defensive	ADJ
cana-4166	19	35	infrastructure	infrastructure	NOUN
cana-4166	19	36	[	[	X
cana-4166	19	37	2	2	NUM
cana-4166	19	38	]	]	PUNCT
cana-4166	19	39	.	.	PUNCT
cana-4166	20	1	identifying	identify	VERB
cana-4166	20	2	signaling	signal	VERB
cana-4166	20	3	ddos	ddos	NOUN
cana-4166	20	4	attacks	attack	NOUN
cana-4166	20	5	in	in	ADP
cana-4166	20	6	5	5	NUM
cana-4166	20	7	g	g	NOUN
cana-4166	20	8	requires	require	VERB
cana-4166	20	9	analyzing	analyze	VERB
cana-4166	20	10	data	datum	NOUN
cana-4166	20	11	from	from	ADP
cana-4166	20	12	5	5	NUM
cana-4166	20	13	g	g	NOUN
cana-4166	20	14	networks	network	NOUN
cana-4166	20	15	.	.	PUNCT
cana-4166	21	1	the	the	DET
cana-4166	21	2	peak	peak	NOUN
cana-4166	21	3	download	download	NOUN
cana-4166	21	4	data	data	NOUN
cana-4166	21	5	speed	speed	NOUN
cana-4166	21	6	required	require	VERB
cana-4166	21	7	for	for	ADP
cana-4166	21	8	5	5	NUM
cana-4166	21	9	g	g	NOUN
cana-4166	21	10	mobile	mobile	ADJ
cana-4166	21	11	communication	communication	NOUN
cana-4166	21	12	technology	technology	NOUN
cana-4166	21	13	is	be	AUX
cana-4166	21	14	20	20	NUM
cana-4166	21	15	gbps	gbp	NOUN
cana-4166	21	16	per	per	ADP
cana-4166	21	17	user	user	NOUN
cana-4166	21	18	,	,	PUNCT
cana-4166	21	19	according	accord	VERB
cana-4166	21	20	to	to	ADP
cana-4166	21	21	the	the	DET
cana-4166	21	22	international	international	ADJ
cana-4166	21	23	telecommunication	telecommunication	NOUN
cana-4166	21	24	union	union	NOUN
cana-4166	21	25	(	(	PUNCT
cana-4166	21	26	itu	itu	PROPN
cana-4166	21	27	)	)	PUNCT
cana-4166	21	28	,	,	PUNCT
cana-4166	21	29	a	a	DET
cana-4166	21	30	well	well	ADV
cana-4166	21	31	-	-	PUNCT
cana-4166	21	32	known	know	VERB
cana-4166	21	33	international	international	ADJ
cana-4166	21	34	standards	standard	NOUN
cana-4166	21	35	communications	communication	NOUN
cana-4166	21	36	on	on	ADP
cana-4166	21	37	applied	apply	VERB
cana-4166	21	38	nonlinear	nonlinear	ADJ
cana-4166	21	39	analysis	analysis	NOUN
cana-4166	21	40	issn	issn	NOUN
cana-4166	21	41	:	:	PUNCT
cana-4166	21	42	1074	1074	NUM
cana-4166	21	43	-	-	PUNCT
cana-4166	21	44	133x	133x	NUM
cana-4166	21	45	vol	vol	NOUN
cana-4166	21	46	32	32	NUM
cana-4166	21	47	no	no	NOUN
cana-4166	21	48	.	.	PUNCT
cana-4166	22	1	9s	9s	NUM
cana-4166	22	2	(	(	PUNCT
cana-4166	22	3	2025	2025	NUM
cana-4166	22	4	)	)	PUNCT
cana-4166	22	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	22	6	1410	1410	NUM
cana-4166	22	7	group	group	NOUN
cana-4166	22	8	[	[	X
cana-4166	22	9	3	3	NUM
cana-4166	22	10	]	]	PUNCT
cana-4166	22	11	.	.	PUNCT
cana-4166	23	1	even	even	ADV
cana-4166	23	2	with	with	ADP
cana-4166	23	3	just	just	ADV
cana-4166	23	4	fifty	fifty	NUM
cana-4166	23	5	users	user	NOUN
cana-4166	23	6	on	on	ADP
cana-4166	23	7	a	a	DET
cana-4166	23	8	standalone	standalone	ADJ
cana-4166	23	9	network	network	NOUN
cana-4166	23	10	,	,	PUNCT
cana-4166	23	11	the	the	DET
cana-4166	23	12	5	5	NUM
cana-4166	23	13	g	g	NOUN
cana-4166	23	14	network	network	NOUN
cana-4166	23	15	is	be	AUX
cana-4166	23	16	necessary	necessary	ADJ
cana-4166	23	17	to	to	PART
cana-4166	23	18	handle	handle	VERB
cana-4166	23	19	traffic	traffic	NOUN
cana-4166	23	20	at	at	ADP
cana-4166	23	21	the	the	DET
cana-4166	23	22	terabit	terabit	NOUN
cana-4166	23	23	per	per	ADP
cana-4166	23	24	second	second	ADJ
cana-4166	23	25	level	level	NOUN
cana-4166	23	26	.	.	PUNCT
cana-4166	24	1	reports	report	NOUN
cana-4166	24	2	from	from	ADP
cana-4166	24	3	ericsson	ericsson	PROPN
cana-4166	24	4	show	show	VERB
cana-4166	24	5	that	that	SCONJ
cana-4166	24	6	mobile	mobile	ADJ
cana-4166	24	7	data	datum	NOUN
cana-4166	24	8	traffic	traffic	NOUN
cana-4166	24	9	has	have	AUX
cana-4166	24	10	increased	increase	VERB
cana-4166	24	11	by	by	ADP
cana-4166	24	12	a	a	DET
cana-4166	24	13	factor	factor	NOUN
cana-4166	24	14	of	of	ADP
cana-4166	24	15	300	300	NUM
cana-4166	24	16	since	since	SCONJ
cana-4166	24	17	2011	2011	NUM
cana-4166	24	18	.	.	PUNCT
cana-4166	25	1	statistical	statistical	ADJ
cana-4166	25	2	analytic	analytic	ADJ
cana-4166	25	3	tools	tool	NOUN
cana-4166	25	4	,	,	PUNCT
cana-4166	25	5	as	as	SCONJ
cana-4166	25	6	opposed	oppose	VERB
cana-4166	25	7	to	to	ADP
cana-4166	25	8	relying	rely	VERB
cana-4166	25	9	on	on	ADP
cana-4166	25	10	individual	individual	ADJ
cana-4166	25	11	network	network	NOUN
cana-4166	25	12	packets	packet	NOUN
cana-4166	25	13	,	,	PUNCT
cana-4166	25	14	are	be	AUX
cana-4166	25	15	vital	vital	ADJ
cana-4166	25	16	for	for	ADP
cana-4166	25	17	managing	manage	VERB
cana-4166	25	18	the	the	DET
cana-4166	25	19	significant	significant	ADJ
cana-4166	25	20	traffic	traffic	NOUN
cana-4166	25	21	volume	volume	NOUN
cana-4166	25	22	.	.	PUNCT
cana-4166	26	1	the	the	DET
cana-4166	26	2	most	most	ADV
cana-4166	26	3	efficient	efficient	ADJ
cana-4166	26	4	way	way	NOUN
cana-4166	26	5	to	to	PART
cana-4166	26	6	process	process	VERB
cana-4166	26	7	massive	massive	ADJ
cana-4166	26	8	amounts	amount	NOUN
cana-4166	26	9	of	of	ADP
cana-4166	26	10	data	datum	NOUN
cana-4166	26	11	requires	require	VERB
cana-4166	26	12	sophisticated	sophisticated	ADJ
cana-4166	26	13	analytical	analytical	ADJ
cana-4166	26	14	tools	tool	NOUN
cana-4166	26	15	,	,	PUNCT
cana-4166	26	16	especially	especially	ADV
cana-4166	26	17	algorithms	algorithm	NOUN
cana-4166	26	18	based	base	VERB
cana-4166	26	19	on	on	ADP
cana-4166	26	20	machine	machine	NOUN
cana-4166	26	21	learning	learning	NOUN
cana-4166	26	22	(	(	PUNCT
cana-4166	26	23	ml	ml	NOUN
cana-4166	26	24	)	)	PUNCT
cana-4166	27	1	[	[	X
cana-4166	27	2	4	4	NUM
cana-4166	27	3	]	]	PUNCT
cana-4166	27	4	.	.	PUNCT
cana-4166	28	1	many	many	ADJ
cana-4166	28	2	existing	exist	VERB
cana-4166	28	3	studies	study	NOUN
cana-4166	28	4	attempt	attempt	VERB
cana-4166	28	5	to	to	PART
cana-4166	28	6	detect	detect	VERB
cana-4166	28	7	ddos	ddos	NOUN
cana-4166	28	8	attacks	attack	NOUN
cana-4166	28	9	in	in	ADP
cana-4166	28	10	cloud	cloud	NOUN
cana-4166	28	11	computing	computing	NOUN
cana-4166	28	12	using	use	VERB
cana-4166	28	13	traditional	traditional	ADJ
cana-4166	28	14	machine	machine	NOUN
cana-4166	28	15	learning	learn	VERB
cana-4166	28	16	techniques	technique	NOUN
cana-4166	28	17	[	[	X
cana-4166	28	18	5]–[8	5]–[8	X
cana-4166	28	19	]	]	PUNCT
cana-4166	28	20	.	.	PUNCT
cana-4166	29	1	however	however	ADV
cana-4166	29	2	,	,	PUNCT
cana-4166	29	3	these	these	DET
cana-4166	29	4	approaches	approach	NOUN
cana-4166	29	5	often	often	ADV
cana-4166	29	6	suffer	suffer	VERB
cana-4166	29	7	from	from	ADP
cana-4166	29	8	poor	poor	ADJ
cana-4166	29	9	scalability	scalability	NOUN
cana-4166	29	10	,	,	PUNCT
cana-4166	29	11	slow	slow	ADJ
cana-4166	29	12	response	response	NOUN
cana-4166	29	13	times	time	NOUN
cana-4166	29	14	,	,	PUNCT
cana-4166	29	15	and	and	CCONJ
cana-4166	29	16	limited	limited	ADJ
cana-4166	29	17	accuracy	accuracy	NOUN
cana-4166	29	18	in	in	ADP
cana-4166	29	19	the	the	DET
cana-4166	29	20	dynamic	dynamic	ADJ
cana-4166	29	21	and	and	CCONJ
cana-4166	29	22	high	high	ADJ
cana-4166	29	23	-	-	PUNCT
cana-4166	29	24	traffic	traffic	NOUN
cana-4166	29	25	conditions	condition	NOUN
cana-4166	29	26	of	of	ADP
cana-4166	29	27	5	5	NUM
cana-4166	29	28	g	g	NOUN
cana-4166	29	29	networks	network	NOUN
cana-4166	29	30	.	.	PUNCT
cana-4166	30	1	moreover	moreover	ADV
cana-4166	30	2	,	,	PUNCT
cana-4166	30	3	conventional	conventional	ADJ
cana-4166	30	4	methods	method	NOUN
cana-4166	30	5	struggle	struggle	VERB
cana-4166	30	6	to	to	PART
cana-4166	30	7	efficiently	efficiently	ADV
cana-4166	30	8	detect	detect	VERB
cana-4166	30	9	complex	complex	ADJ
cana-4166	30	10	and	and	CCONJ
cana-4166	30	11	evolving	evolve	VERB
cana-4166	30	12	ddos	ddo	NOUN
cana-4166	30	13	patterns	pattern	NOUN
cana-4166	30	14	,	,	PUNCT
cana-4166	30	15	leading	lead	VERB
cana-4166	30	16	to	to	ADP
cana-4166	30	17	detection	detection	NOUN
cana-4166	30	18	rates	rate	NOUN
cana-4166	30	19	between	between	ADP
cana-4166	30	20	55	55	NUM
cana-4166	30	21	%	%	NOUN
cana-4166	30	22	and	and	CCONJ
cana-4166	30	23	65	65	NUM
cana-4166	30	24	%	%	NOUN
cana-4166	30	25	in	in	ADP
cana-4166	30	26	real	real	ADJ
cana-4166	30	27	-	-	PUNCT
cana-4166	30	28	time	time	NOUN
cana-4166	30	29	scenarios	scenario	NOUN
cana-4166	30	30	.	.	PUNCT
cana-4166	31	1	given	give	VERB
cana-4166	31	2	these	these	DET
cana-4166	31	3	challenges	challenge	NOUN
cana-4166	31	4	,	,	PUNCT
cana-4166	31	5	this	this	DET
cana-4166	31	6	study	study	NOUN
cana-4166	31	7	proposes	propose	VERB
cana-4166	31	8	an	an	DET
cana-4166	31	9	advanced	advanced	ADJ
cana-4166	31	10	ddos	ddos	NOUN
cana-4166	31	11	detection	detection	NOUN
cana-4166	31	12	framework	framework	NOUN
cana-4166	31	13	for	for	ADP
cana-4166	31	14	5g	5g	NUM
cana-4166	31	15	-	-	PUNCT
cana-4166	31	16	enabled	enable	VERB
cana-4166	31	17	cloud	cloud	NOUN
cana-4166	31	18	infrastructures	infrastructure	NOUN
cana-4166	31	19	.	.	PUNCT
cana-4166	32	1	the	the	DET
cana-4166	32	2	framework	framework	NOUN
cana-4166	32	3	leverages	leverage	VERB
cana-4166	32	4	a	a	DET
cana-4166	32	5	quantum	quantum	ADJ
cana-4166	32	6	convolutional	convolutional	ADJ
cana-4166	32	7	neural	neural	ADJ
cana-4166	32	8	network	network	NOUN
cana-4166	32	9	(	(	PUNCT
cana-4166	32	10	qcnn	qcnn	PROPN
cana-4166	32	11	)	)	PUNCT
cana-4166	32	12	integrated	integrate	VERB
cana-4166	32	13	with	with	ADP
cana-4166	32	14	a	a	DET
cana-4166	32	15	bottleneck	bottleneck	NOUN
cana-4166	32	16	attention	attention	NOUN
cana-4166	32	17	mechanism	mechanism	NOUN
cana-4166	32	18	to	to	PART
cana-4166	32	19	enhance	enhance	VERB
cana-4166	32	20	feature	feature	NOUN
cana-4166	32	21	extraction	extraction	NOUN
cana-4166	32	22	and	and	CCONJ
cana-4166	32	23	focus	focus	VERB
cana-4166	32	24	on	on	ADP
cana-4166	32	25	crucial	crucial	ADJ
cana-4166	32	26	network	network	NOUN
cana-4166	32	27	anomalies	anomaly	NOUN
cana-4166	32	28	.	.	PUNCT
cana-4166	33	1	this	this	DET
cana-4166	33	2	study	study	NOUN
cana-4166	33	3	aims	aim	VERB
cana-4166	33	4	to	to	PART
cana-4166	33	5	improve	improve	VERB
cana-4166	33	6	detection	detection	NOUN
cana-4166	33	7	accuracy	accuracy	NOUN
cana-4166	33	8	and	and	CCONJ
cana-4166	33	9	response	response	NOUN
cana-4166	33	10	times	time	NOUN
cana-4166	33	11	by	by	ADP
cana-4166	33	12	incorporating	incorporate	VERB
cana-4166	33	13	the	the	DET
cana-4166	33	14	strengths	strength	NOUN
cana-4166	33	15	of	of	ADP
cana-4166	33	16	quantum	quantum	NOUN
cana-4166	33	17	-	-	PUNCT
cana-4166	33	18	inspired	inspire	VERB
cana-4166	33	19	learning	learning	NOUN
cana-4166	33	20	and	and	CCONJ
cana-4166	33	21	attention	attention	NOUN
cana-4166	33	22	-	-	PUNCT
cana-4166	33	23	based	base	VERB
cana-4166	33	24	feature	feature	NOUN
cana-4166	33	25	refinement	refinement	NOUN
cana-4166	33	26	.	.	PUNCT
cana-4166	34	1	the	the	DET
cana-4166	34	2	evaluation	evaluation	NOUN
cana-4166	34	3	of	of	ADP
cana-4166	34	4	the	the	DET
cana-4166	34	5	proposed	propose	VERB
cana-4166	34	6	model	model	NOUN
cana-4166	34	7	will	will	AUX
cana-4166	34	8	focus	focus	VERB
cana-4166	34	9	on	on	ADP
cana-4166	34	10	key	key	ADJ
cana-4166	34	11	performance	performance	NOUN
cana-4166	34	12	metrics	metric	NOUN
cana-4166	34	13	,	,	PUNCT
cana-4166	34	14	such	such	ADJ
cana-4166	34	15	as	as	ADP
cana-4166	34	16	detection	detection	NOUN
cana-4166	34	17	rate	rate	NOUN
cana-4166	34	18	,	,	PUNCT
cana-4166	34	19	precision	precision	NOUN
cana-4166	34	20	,	,	PUNCT
cana-4166	34	21	recall	recall	NOUN
cana-4166	34	22	,	,	PUNCT
cana-4166	34	23	and	and	CCONJ
cana-4166	34	24	latency	latency	NOUN
cana-4166	34	25	,	,	PUNCT
cana-4166	34	26	under	under	ADP
cana-4166	34	27	real	real	ADJ
cana-4166	34	28	-	-	PUNCT
cana-4166	34	29	world	world	NOUN
cana-4166	34	30	cloud	cloud	NOUN
cana-4166	34	31	and	and	CCONJ
cana-4166	34	32	5	5	NUM
cana-4166	34	33	g	g	NOUN
cana-4166	34	34	network	network	NOUN
cana-4166	34	35	traffic	traffic	NOUN
cana-4166	34	36	conditions	condition	NOUN
cana-4166	34	37	.	.	PUNCT
cana-4166	35	1	ii	ii	PROPN
cana-4166	35	2	literature	literature	PROPN
cana-4166	35	3	review	review	VERB
cana-4166	35	4	the	the	DET
cana-4166	35	5	original	original	ADJ
cana-4166	35	6	research	research	NOUN
cana-4166	35	7	on	on	ADP
cana-4166	35	8	signaling	signal	VERB
cana-4166	35	9	ddos	ddo	NOUN
cana-4166	35	10	overlooked	overlook	VERB
cana-4166	35	11	mobile	mobile	ADJ
cana-4166	35	12	networks	network	NOUN
cana-4166	35	13	in	in	ADP
cana-4166	35	14	favor	favor	NOUN
cana-4166	35	15	of	of	ADP
cana-4166	35	16	the	the	DET
cana-4166	35	17	more	more	ADV
cana-4166	35	18	generalized	generalized	ADJ
cana-4166	35	19	wired	wire	VERB
cana-4166	35	20	network	network	NOUN
cana-4166	35	21	setting	setting	NOUN
cana-4166	35	22	.	.	PUNCT
cana-4166	36	1	to	to	PART
cana-4166	36	2	detect	detect	VERB
cana-4166	36	3	generic	generic	ADJ
cana-4166	36	4	types	type	NOUN
cana-4166	36	5	of	of	ADP
cana-4166	36	6	ddos	ddos	NOUN
cana-4166	36	7	attacks	attack	NOUN
cana-4166	36	8	that	that	PRON
cana-4166	36	9	target	target	VERB
cana-4166	36	10	protocols	protocol	NOUN
cana-4166	36	11	such	such	ADJ
cana-4166	36	12	as	as	ADP
cana-4166	36	13	icmp	icmp	ADJ
cana-4166	36	14	,	,	PUNCT
cana-4166	36	15	david	david	PROPN
cana-4166	36	16	et	et	PROPN
cana-4166	36	17	al	al	PROPN
cana-4166	36	18	.	.	PUNCT
cana-4166	37	1	[	[	X
cana-4166	37	2	9	9	NUM
cana-4166	37	3	]	]	PUNCT
cana-4166	37	4	introduced	introduce	VERB
cana-4166	37	5	a	a	DET
cana-4166	37	6	technique	technique	NOUN
cana-4166	37	7	that	that	PRON
cana-4166	37	8	is	be	AUX
cana-4166	37	9	based	base	VERB
cana-4166	37	10	on	on	ADP
cana-4166	37	11	the	the	DET
cana-4166	37	12	fast	fast	ADJ
cana-4166	37	13	entropy	entropy	NOUN
cana-4166	37	14	method	method	NOUN
cana-4166	37	15	and	and	CCONJ
cana-4166	37	16	employs	employ	VERB
cana-4166	37	17	flowbased	flowbased	ADJ
cana-4166	37	18	analysis	analysis	NOUN
cana-4166	37	19	.	.	PUNCT
cana-4166	38	1	machine	machine	NOUN
cana-4166	38	2	learning	learning	NOUN
cana-4166	38	3	(	(	PUNCT
cana-4166	38	4	ml	ml	NOUN
cana-4166	38	5	)	)	PUNCT
cana-4166	38	6	methods	method	NOUN
cana-4166	38	7	for	for	ADP
cana-4166	38	8	ddos	ddos	NOUN
cana-4166	38	9	attack	attack	NOUN
cana-4166	38	10	detection	detection	NOUN
cana-4166	38	11	were	be	AUX
cana-4166	38	12	studied	study	VERB
cana-4166	38	13	by	by	ADP
cana-4166	38	14	kati	kati	PROPN
cana-4166	38	15	et	et	PROPN
cana-4166	38	16	al	al	PROPN
cana-4166	38	17	.	.	PUNCT
cana-4166	39	1	[	[	X
cana-4166	39	2	10	10	NUM
cana-4166	39	3	]	]	PUNCT
cana-4166	39	4	within	within	ADP
cana-4166	39	5	the	the	DET
cana-4166	39	6	cloud	cloud	NOUN
cana-4166	39	7	computing	computing	NOUN
cana-4166	39	8	environment	environment	NOUN
cana-4166	39	9	.	.	PUNCT
cana-4166	40	1	with	with	ADP
cana-4166	40	2	the	the	DET
cana-4166	40	3	utilization	utilization	NOUN
cana-4166	40	4	of	of	ADP
cana-4166	40	5	sessions	session	NOUN
cana-4166	40	6	,	,	PUNCT
cana-4166	40	7	jang	jang	PROPN
cana-4166	40	8	et	et	PROPN
cana-4166	40	9	al	al	PROPN
cana-4166	40	10	.	.	PUNCT
cana-4166	41	1	[	[	X
cana-4166	41	2	11	11	NUM
cana-4166	41	3	]	]	PUNCT
cana-4166	41	4	introduced	introduce	VERB
cana-4166	41	5	a	a	DET
cana-4166	41	6	threshold	threshold	NOUN
cana-4166	41	7	-	-	PUNCT
cana-4166	41	8	based	base	VERB
cana-4166	41	9	detection	detection	NOUN
cana-4166	41	10	method	method	NOUN
cana-4166	41	11	for	for	ADP
cana-4166	41	12	notifying	notify	VERB
cana-4166	41	13	dos	do	NOUN
cana-4166	41	14	occurrences	occurrence	NOUN
cana-4166	41	15	in	in	ADP
cana-4166	41	16	the	the	DET
cana-4166	41	17	lte	lte	PROPN
cana-4166	41	18	environment	environment	PROPN
cana-4166	41	19	's	's	PART
cana-4166	41	20	cn	cn	PROPN
cana-4166	41	21	.	.	PUNCT
cana-4166	42	1	the	the	DET
cana-4166	42	2	threshold	threshold	NOUN
cana-4166	42	3	-	-	PUNCT
cana-4166	42	4	based	base	VERB
cana-4166	42	5	detection	detection	NOUN
cana-4166	42	6	technique	technique	NOUN
cana-4166	42	7	is	be	AUX
cana-4166	42	8	designed	design	VERB
cana-4166	42	9	to	to	PART
cana-4166	42	10	prevent	prevent	VERB
cana-4166	42	11	attack	attack	NOUN
cana-4166	42	12	traffic	traffic	NOUN
cana-4166	42	13	from	from	ADP
cana-4166	42	14	exceeding	exceed	VERB
cana-4166	42	15	the	the	DET
cana-4166	42	16	detection	detection	NOUN
cana-4166	42	17	threshold	threshold	NOUN
cana-4166	42	18	set	set	VERB
cana-4166	42	19	by	by	ADP
cana-4166	42	20	network	network	NOUN
cana-4166	42	21	administrators	administrator	NOUN
cana-4166	42	22	.	.	PUNCT
cana-4166	43	1	however	however	ADV
cana-4166	43	2	,	,	PUNCT
cana-4166	43	3	it	it	PRON
cana-4166	43	4	becomes	become	VERB
cana-4166	43	5	difficult	difficult	ADJ
cana-4166	43	6	to	to	PART
cana-4166	43	7	locate	locate	VERB
cana-4166	43	8	trackers	tracker	NOUN
cana-4166	43	9	when	when	SCONJ
cana-4166	43	10	an	an	DET
cana-4166	43	11	attacker	attacker	NOUN
cana-4166	43	12	uses	use	VERB
cana-4166	43	13	a	a	DET
cana-4166	43	14	single	single	ADJ
cana-4166	43	15	legitimate	legitimate	ADJ
cana-4166	43	16	terminal	terminal	NOUN
cana-4166	43	17	in	in	ADP
cana-4166	43	18	a	a	DET
cana-4166	43	19	subtle	subtle	ADJ
cana-4166	43	20	attack	attack	NOUN
cana-4166	43	21	.	.	PUNCT
cana-4166	44	1	using	use	VERB
cana-4166	44	2	eba	eba	NOUN
cana-4166	44	3	and	and	CCONJ
cana-4166	44	4	features	feature	VERB
cana-4166	44	5	signaling	signal	VERB
cana-4166	44	6	ddos	ddo	NOUN
cana-4166	44	7	assaults	assault	NOUN
cana-4166	44	8	that	that	PRON
cana-4166	44	9	take	take	VERB
cana-4166	44	10	advantage	advantage	NOUN
cana-4166	44	11	of	of	ADP
cana-4166	44	12	3g/4	3g/4	NUM
cana-4166	44	13	g	g	NOUN
cana-4166	44	14	wake	wake	VERB
cana-4166	44	15	-	-	PUNCT
cana-4166	44	16	up	up	ADP
cana-4166	44	17	packets	packet	NOUN
cana-4166	44	18	,	,	PUNCT
cana-4166	44	19	gupta	gupta	PROPN
cana-4166	44	20	et	et	NOUN
cana-4166	44	21	al	al	PROPN
cana-4166	44	22	.	.	PUNCT
cana-4166	45	1	[	[	X
cana-4166	45	2	12	12	NUM
cana-4166	45	3	]	]	PUNCT
cana-4166	45	4	proposed	propose	VERB
cana-4166	45	5	an	an	DET
cana-4166	45	6	svm	svm	ADJ
cana-4166	45	7	-	-	PUNCT
cana-4166	45	8	based	base	VERB
cana-4166	45	9	detection	detection	NOUN
cana-4166	45	10	method	method	NOUN
cana-4166	45	11	to	to	PART
cana-4166	45	12	circumvent	circumvent	VERB
cana-4166	45	13	this	this	DET
cana-4166	45	14	constraint	constraint	NOUN
cana-4166	45	15	.	.	PUNCT
cana-4166	46	1	the	the	DET
cana-4166	46	2	detection	detection	NOUN
cana-4166	46	3	performance	performance	NOUN
cana-4166	46	4	of	of	ADP
cana-4166	46	5	this	this	DET
cana-4166	46	6	machine	machine	NOUN
cana-4166	46	7	-	-	PUNCT
cana-4166	46	8	learning	learn	VERB
cana-4166	46	9	algorithm	algorithm	NOUN
cana-4166	46	10	was	be	AUX
cana-4166	46	11	evaluated	evaluate	VERB
cana-4166	46	12	using	use	VERB
cana-4166	46	13	datasets	dataset	NOUN
cana-4166	46	14	consisting	consist	VERB
cana-4166	46	15	of	of	ADP
cana-4166	46	16	a	a	DET
cana-4166	46	17	week	week	NOUN
cana-4166	46	18	's	's	PART
cana-4166	46	19	worth	worth	NOUN
cana-4166	46	20	of	of	ADP
cana-4166	46	21	tcp	tcp	PROPN
cana-4166	46	22	,	,	PUNCT
cana-4166	46	23	udp	udp	NOUN
cana-4166	46	24	,	,	PUNCT
cana-4166	46	25	and	and	CCONJ
cana-4166	46	26	icmp	icmp	ADJ
cana-4166	46	27	packets	packet	NOUN
cana-4166	46	28	generated	generate	VERB
cana-4166	46	29	by	by	ADP
cana-4166	46	30	62	62	NUM
cana-4166	46	31	separate	separate	ADJ
cana-4166	46	32	cell	cell	NOUN
cana-4166	46	33	phones	phone	NOUN
cana-4166	46	34	.	.	PUNCT
cana-4166	47	1	the	the	DET
cana-4166	47	2	results	result	NOUN
cana-4166	47	3	of	of	ADP
cana-4166	47	4	the	the	DET
cana-4166	47	5	study	study	NOUN
cana-4166	47	6	proved	prove	VERB
cana-4166	47	7	that	that	SCONJ
cana-4166	47	8	the	the	DET
cana-4166	47	9	performance	performance	NOUN
cana-4166	47	10	was	be	AUX
cana-4166	47	11	unfit	unfit	ADJ
cana-4166	47	12	for	for	ADP
cana-4166	47	13	real	real	ADJ
cana-4166	47	14	-	-	PUNCT
cana-4166	47	15	world	world	NOUN
cana-4166	47	16	use	use	NOUN
cana-4166	47	17	,	,	PUNCT
cana-4166	47	18	with	with	ADP
cana-4166	47	19	a	a	DET
cana-4166	47	20	detection	detection	NOUN
cana-4166	47	21	rate	rate	NOUN
cana-4166	47	22	of	of	ADP
cana-4166	47	23	53.8	53.8	NUM
cana-4166	47	24	%	%	NOUN
cana-4166	47	25	.	.	PUNCT
cana-4166	48	1	ettiane	ettiane	PROPN
cana-4166	48	2	et	et	PROPN
cana-4166	48	3	al	al	PROPN
cana-4166	48	4	.	.	PUNCT
cana-4166	49	1	[	[	X
cana-4166	49	2	13	13	NUM
cana-4166	49	3	]	]	PUNCT
cana-4166	49	4	introduced	introduce	VERB
cana-4166	49	5	a	a	DET
cana-4166	49	6	randomization	randomization	NOUN
cana-4166	49	7	-	-	PUNCT
cana-4166	49	8	based	base	VERB
cana-4166	49	9	approach	approach	NOUN
cana-4166	49	10	to	to	PART
cana-4166	49	11	mitigate	mitigate	VERB
cana-4166	49	12	the	the	DET
cana-4166	49	13	impact	impact	NOUN
cana-4166	49	14	of	of	ADP
cana-4166	49	15	signaling	signal	VERB
cana-4166	49	16	ddos	ddos	NOUN
cana-4166	49	17	assaults	assault	NOUN
cana-4166	49	18	within	within	ADP
cana-4166	49	19	the	the	DET
cana-4166	49	20	framework	framework	NOUN
cana-4166	49	21	of	of	ADP
cana-4166	49	22	5	5	NUM
cana-4166	49	23	g	g	NOUN
cana-4166	49	24	mtc	mtc	NOUN
cana-4166	49	25	,	,	PUNCT
cana-4166	49	26	utilizing	utilize	VERB
cana-4166	49	27	rrc	rrc	PROPN
cana-4166	49	28	protocols	protocol	NOUN
cana-4166	49	29	.	.	PUNCT
cana-4166	50	1	in	in	ADP
cana-4166	50	2	addition	addition	NOUN
cana-4166	50	3	,	,	PUNCT
cana-4166	50	4	they	they	PRON
cana-4166	50	5	proposed	propose	VERB
cana-4166	50	6	a	a	DET
cana-4166	50	7	robust	robust	ADJ
cana-4166	50	8	defense	defense	NOUN
cana-4166	50	9	mechanism	mechanism	NOUN
cana-4166	50	10	that	that	PRON
cana-4166	50	11	can	can	AUX
cana-4166	50	12	reduce	reduce	VERB
cana-4166	50	13	false	false	ADJ
cana-4166	50	14	positives	positive	NOUN
cana-4166	50	15	independent	independent	ADJ
cana-4166	50	16	of	of	ADP
cana-4166	50	17	anomalous	anomalous	ADJ
cana-4166	50	18	traffic	traffic	NOUN
cana-4166	50	19	data	datum	NOUN
cana-4166	50	20	when	when	SCONJ
cana-4166	50	21	a	a	DET
cana-4166	50	22	signaling	signal	VERB
cana-4166	50	23	ddos	ddos	NOUN
cana-4166	50	24	assault	assault	NOUN
cana-4166	50	25	misuses	misuse	NOUN
cana-4166	50	26	the	the	DET
cana-4166	50	27	rrc	rrc	PROPN
cana-4166	50	28	protocol	protocol	NOUN
cana-4166	50	29	in	in	ADP
cana-4166	50	30	the	the	DET
cana-4166	50	31	4g/5	4g/5	NUM
cana-4166	50	32	g	g	NOUN
cana-4166	50	33	mtc	mtc	NOUN
cana-4166	50	34	setting	setting	NOUN
cana-4166	50	35	.	.	PUNCT
cana-4166	51	1	a	a	DET
cana-4166	51	2	robust	robust	ADJ
cana-4166	51	3	,	,	PUNCT
cana-4166	51	4	randomization	randomization	NOUN
cana-4166	51	5	-	-	PUNCT
cana-4166	51	6	based	base	VERB
cana-4166	51	7	response	response	NOUN
cana-4166	51	8	mechanism	mechanism	NOUN
cana-4166	51	9	against	against	ADP
cana-4166	51	10	signal	signal	ADJ
cana-4166	51	11	denial	denial	NOUN
cana-4166	51	12	of	of	ADP
cana-4166	51	13	service	service	NOUN
cana-4166	51	14	attacks	attack	NOUN
cana-4166	51	15	has	have	AUX
cana-4166	51	16	been	be	AUX
cana-4166	51	17	proposed	propose	VERB
cana-4166	51	18	by	by	ADP
cana-4166	51	19	them	they	PRON
cana-4166	51	20	to	to	PART
cana-4166	51	21	tamper	tamper	VERB
cana-4166	51	22	with	with	ADP
cana-4166	51	23	rrc	rrc	PROPN
cana-4166	51	24	protocols	protocol	NOUN
cana-4166	51	25	within	within	ADP
cana-4166	51	26	the	the	DET
cana-4166	51	27	framework	framework	NOUN
cana-4166	51	28	of	of	ADP
cana-4166	51	29	5	5	NUM
cana-4166	51	30	g	g	NOUN
cana-4166	51	31	mtc	mtc	NOUN
cana-4166	51	32	.	.	PUNCT
cana-4166	52	1	however	however	ADV
cana-4166	52	2	,	,	PUNCT
cana-4166	52	3	the	the	DET
cana-4166	52	4	results	result	NOUN
cana-4166	52	5	of	of	ADP
cana-4166	52	6	the	the	DET
cana-4166	52	7	communications	communication	NOUN
cana-4166	52	8	on	on	ADP
cana-4166	52	9	applied	apply	VERB
cana-4166	52	10	nonlinear	nonlinear	ADJ
cana-4166	52	11	analysis	analysis	NOUN
cana-4166	52	12	issn	issn	NOUN
cana-4166	52	13	:	:	PUNCT
cana-4166	52	14	1074	1074	NUM
cana-4166	52	15	-	-	PUNCT
cana-4166	52	16	133x	133x	NUM
cana-4166	52	17	vol	vol	NOUN
cana-4166	52	18	32	32	NUM
cana-4166	52	19	no	no	NOUN
cana-4166	52	20	.	.	PUNCT
cana-4166	53	1	9s	9s	NUM
cana-4166	53	2	(	(	PUNCT
cana-4166	53	3	2025	2025	NUM
cana-4166	53	4	)	)	PUNCT
cana-4166	53	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	53	6	1411	1411	NUM
cana-4166	53	7	performance	performance	NOUN
cana-4166	53	8	validation	validation	NOUN
cana-4166	53	9	test	test	NOUN
cana-4166	53	10	for	for	ADP
cana-4166	53	11	the	the	DET
cana-4166	53	12	detection	detection	NOUN
cana-4166	53	13	rate	rate	NOUN
cana-4166	53	14	showed	show	VERB
cana-4166	53	15	that	that	SCONJ
cana-4166	53	16	the	the	DET
cana-4166	53	17	accuracy	accuracy	NOUN
cana-4166	53	18	of	of	ADP
cana-4166	53	19	the	the	DET
cana-4166	53	20	detection	detection	NOUN
cana-4166	53	21	was	be	AUX
cana-4166	53	22	only	only	ADV
cana-4166	53	23	59.8	59.8	NUM
cana-4166	53	24	%	%	NOUN
cana-4166	53	25	[	[	X
cana-4166	53	26	14	14	NUM
cana-4166	53	27	]	]	PUNCT
cana-4166	53	28	.	.	PUNCT
cana-4166	54	1	recent	recent	ADJ
cana-4166	54	2	updates	update	NOUN
cana-4166	54	3	have	have	AUX
cana-4166	54	4	included	include	VERB
cana-4166	54	5	detection	detection	NOUN
cana-4166	54	6	methods	method	NOUN
cana-4166	54	7	based	base	VERB
cana-4166	54	8	on	on	ADP
cana-4166	54	9	deep	deep	ADJ
cana-4166	54	10	learning	learning	NOUN
cana-4166	54	11	to	to	PART
cana-4166	54	12	counter	counter	VERB
cana-4166	54	13	signaling	signal	VERB
cana-4166	54	14	ddos	ddo	NOUN
cana-4166	54	15	attacks	attack	NOUN
cana-4166	54	16	using	use	VERB
cana-4166	54	17	the	the	DET
cana-4166	54	18	rrc	rrc	PROPN
cana-4166	54	19	protocol	protocol	NOUN
cana-4166	54	20	,	,	PUNCT
cana-4166	54	21	volte	volte	PROPN
cana-4166	54	22	call	call	NOUN
cana-4166	54	23	assaults	assault	NOUN
cana-4166	54	24	,	,	PUNCT
cana-4166	54	25	and	and	CCONJ
cana-4166	54	26	sms	sm	VERB
cana-4166	54	27	flooding	flooding	NOUN
cana-4166	54	28	attacks	attack	NOUN
cana-4166	54	29	.	.	PUNCT
cana-4166	55	1	in	in	ADP
cana-4166	55	2	their	their	PRON
cana-4166	55	3	study	study	NOUN
cana-4166	55	4	on	on	ADP
cana-4166	55	5	5	5	NUM
cana-4166	55	6	g	g	PROPN
cana-4166	55	7	cps	cps	PROPN
cana-4166	55	8	,	,	PUNCT
cana-4166	55	9	hussain	hussain	PROPN
cana-4166	55	10	et	et	PROPN
cana-4166	55	11	al	al	PROPN
cana-4166	55	12	.	.	PUNCT
cana-4166	56	1	[	[	X
cana-4166	56	2	15	15	NUM
cana-4166	56	3	]	]	PUNCT
cana-4166	56	4	proposed	propose	VERB
cana-4166	56	5	a	a	DET
cana-4166	56	6	detection	detection	NOUN
cana-4166	56	7	method	method	NOUN
cana-4166	56	8	that	that	PRON
cana-4166	56	9	utilizes	utilize	VERB
cana-4166	56	10	the	the	DET
cana-4166	56	11	resnet	resnet	NOUN
cana-4166	56	12	and	and	CCONJ
cana-4166	56	13	drc	drc	PROPN
cana-4166	56	14	algorithms	algorithm	NOUN
cana-4166	56	15	to	to	PART
cana-4166	56	16	combat	combat	VERB
cana-4166	56	17	three	three	NUM
cana-4166	56	18	distinct	distinct	ADJ
cana-4166	56	19	types	type	NOUN
cana-4166	56	20	of	of	ADP
cana-4166	56	21	distributed	distribute	VERB
cana-4166	56	22	denial	denial	NOUN
cana-4166	56	23	of	of	ADP
cana-4166	56	24	service	service	NOUN
cana-4166	56	25	assaults	assault	NOUN
cana-4166	56	26	:	:	PUNCT
cana-4166	56	27	volte	volte	PROPN
cana-4166	56	28	call	call	PROPN
cana-4166	56	29	attacks	attack	NOUN
cana-4166	56	30	,	,	PUNCT
cana-4166	56	31	sms	sms	NOUN
cana-4166	56	32	flooding	flooding	NOUN
cana-4166	56	33	,	,	PUNCT
cana-4166	56	34	and	and	CCONJ
cana-4166	56	35	rrc	rrc	PROPN
cana-4166	56	36	signaling	signaling	NOUN
cana-4166	56	37	.	.	PUNCT
cana-4166	57	1	the	the	DET
cana-4166	57	2	detection	detection	NOUN
cana-4166	57	3	approach	approach	NOUN
cana-4166	57	4	utilizing	utilize	VERB
cana-4166	57	5	the	the	DET
cana-4166	57	6	drc	drc	PROPN
cana-4166	57	7	(	(	PUNCT
cana-4166	57	8	deep	deep	ADJ
cana-4166	57	9	rudimentary	rudimentary	ADJ
cana-4166	57	10	cnn	cnn	PROPN
cana-4166	57	11	)	)	PUNCT
cana-4166	57	12	algorithm	algorithm	PROPN
cana-4166	57	13	achieved	achieve	VERB
cana-4166	57	14	a	a	DET
cana-4166	57	15	detection	detection	NOUN
cana-4166	57	16	rate	rate	NOUN
cana-4166	57	17	of	of	ADP
cana-4166	57	18	at	at	ADV
cana-4166	57	19	least	least	ADV
cana-4166	57	20	91	91	NUM
cana-4166	57	21	%	%	NOUN
cana-4166	57	22	,	,	PUNCT
cana-4166	57	23	while	while	SCONJ
cana-4166	57	24	the	the	DET
cana-4166	57	25	technique	technique	NOUN
cana-4166	57	26	using	use	VERB
cana-4166	57	27	the	the	DET
cana-4166	57	28	resnet	resnet	NOUN
cana-4166	57	29	(	(	PUNCT
cana-4166	57	30	residual	residual	ADJ
cana-4166	57	31	network)50	network)50	ADJ
cana-4166	57	32	methodology	methodology	NOUN
cana-4166	57	33	achieved	achieve	VERB
cana-4166	57	34	a	a	DET
cana-4166	57	35	detection	detection	NOUN
cana-4166	57	36	rate	rate	NOUN
cana-4166	57	37	of	of	ADP
cana-4166	57	38	at	at	ADV
cana-4166	57	39	least	least	ADV
cana-4166	57	40	97	97	NUM
cana-4166	57	41	%	%	NOUN
cana-4166	57	42	.	.	PUNCT
cana-4166	58	1	both	both	DET
cana-4166	58	2	methods	method	NOUN
cana-4166	58	3	were	be	AUX
cana-4166	58	4	deemed	deem	VERB
cana-4166	58	5	extremely	extremely	ADV
cana-4166	58	6	effective	effective	ADJ
cana-4166	58	7	.	.	PUNCT
cana-4166	59	1	iii	iii	NUM
cana-4166	59	2	proposed	propose	VERB
cana-4166	59	3	model	model	NOUN
cana-4166	59	4	a.	a.	NOUN
cana-4166	59	5	quantum	quantum	PROPN
cana-4166	59	6	convolutional	convolutional	ADJ
cana-4166	59	7	neural	neural	ADJ
cana-4166	59	8	networks	network	NOUN
cana-4166	59	9	(	(	PUNCT
cana-4166	59	10	qcnn	qcnn	PROPN
cana-4166	59	11	)	)	PUNCT
cana-4166	59	12	a	a	PRON
cana-4166	59	13	)	)	PUNCT
cana-4166	59	14	quantum	quantum	NOUN
cana-4166	59	15	-	-	PUNCT
cana-4166	59	16	to	to	ADP
cana-4166	59	17	-	-	PUNCT
cana-4166	59	18	classical	classical	ADJ
cana-4166	59	19	parameter	parameter	NOUN
cana-4166	59	20	mapping	mapping	NOUN
cana-4166	59	21	first	first	ADV
cana-4166	59	22	,	,	PUNCT
cana-4166	59	23	it	it	PRON
cana-4166	59	24	constructs	construct	VERB
cana-4166	59	25	a	a	DET
cana-4166	59	26	traditional	traditional	ADJ
cana-4166	59	27	neural	neural	ADJ
cana-4166	59	28	network	network	NOUN
cana-4166	59	29	(	(	PUNCT
cana-4166	59	30	nn	nn	NOUN
cana-4166	59	31	)	)	PUNCT
cana-4166	59	32	using	use	VERB
cana-4166	59	33	the	the	DET
cana-4166	59	34	parameter	parameter	NOUN
cana-4166	59	35	vector	vector	NOUN
cana-4166	59	36	.	.	PUNCT
cana-4166	60	1	𝜃	𝜃	X
cana-4166	60	2	=	=	PUNCT
cana-4166	60	3	(	(	PUNCT
cana-4166	60	4	𝜃1	𝜃1	PROPN
cana-4166	60	5	,	,	PUNCT
cana-4166	60	6	𝜃2	𝜃2	PROPN
cana-4166	60	7	,	,	PUNCT
cana-4166	60	8	.	.	PUNCT
cana-4166	60	9	.	.	PUNCT
cana-4166	61	1	.	.	PUNCT
cana-4166	62	1	,	,	PUNCT
cana-4166	62	2	𝜃𝑀	𝜃𝑀	NUM
cana-4166	62	3	)	)	PUNCT
cana-4166	62	4	𝑁	𝑁	PROPN
cana-4166	62	5	=	=	SYM
cana-4166	63	1	[	[	X
cana-4166	63	2	𝑙𝑜𝑔2	𝑙𝑜𝑔2	PROPN
cana-4166	63	3	𝑀]u	𝑀]u	NOUN
cana-4166	63	4	-	-	PUNCT
cana-4166	63	5	bits	bit	NOUN
cana-4166	63	6	are	be	AUX
cana-4166	63	7	used	use	VERB
cana-4166	63	8	to	to	PART
cana-4166	63	9	encode	encode	VERB
cana-4166	63	10	a	a	DET
cana-4166	63	11	quantum	quantum	ADJ
cana-4166	63	12	state	state	NOUN
cana-4166	63	13	|𝜓⟩	|𝜓⟩	PROPN
cana-4166	63	14	,	,	PUNCT
cana-4166	63	15	resulting	result	VERB
cana-4166	63	16	in	in	ADP
cana-4166	63	17	a	a	DET
cana-4166	63	18	hilbert	hilbert	NOUN
cana-4166	63	19	space	space	NOUN
cana-4166	63	20	of	of	ADP
cana-4166	63	21	length	length	NOUN
cana-4166	63	22	2[𝑙𝑜𝑔2	2[𝑙𝑜𝑔2	PROPN
cana-4166	63	23	𝑀]to	𝑀]to	PROPN
cana-4166	63	24	,	,	PUNCT
cana-4166	63	25	represent	represent	VERB
cana-4166	63	26	the	the	DET
cana-4166	63	27	nn	nn	PROPN
cana-4166	63	28	parameters	parameter	NOUN
cana-4166	63	29	.	.	PUNCT
cana-4166	64	1	for	for	ADP
cana-4166	64	2	i	i	PROPN
cana-4166	64	3	∈	∈	PROPN
cana-4166	64	4	{	{	PUNCT
cana-4166	64	5	1,2	1,2	NUM
cana-4166	64	6	,	,	PUNCT
cana-4166	64	7	.	.	PUNCT
cana-4166	64	8	.	.	PUNCT
cana-4166	64	9	.	.	PUNCT
cana-4166	65	1	,	,	PUNCT
cana-4166	65	2	2n	2n	NUM
cana-4166	65	3	}	}	PUNCT
cana-4166	65	4	,	,	PUNCT
cana-4166	65	5	the	the	DET
cana-4166	65	6	quantum	quantum	ADJ
cana-4166	65	7	state	state	NOUN
cana-4166	65	8	's	's	PART
cana-4166	65	9	measurement	measurement	NOUN
cana-4166	65	10	probabilities	probability	NOUN
cana-4166	65	11	,	,	PUNCT
cana-4166	65	12	|⟨𝑖|𝜓⟩|2	|⟨𝑖|𝜓⟩|2	PROPN
cana-4166	65	13	,	,	PUNCT
cana-4166	65	14	vary	vary	VERB
cana-4166	65	15	from	from	ADP
cana-4166	65	16	0	0	NUM
cana-4166	65	17	to	to	ADP
cana-4166	65	18	1	1	NUM
cana-4166	65	19	.	.	PUNCT
cana-4166	66	1	mapping	map	VERB
cana-4166	66	2	these	these	DET
cana-4166	66	3	probabilities	probability	NOUN
cana-4166	66	4	to	to	ADP
cana-4166	66	5	the	the	DET
cana-4166	66	6	nn	nn	PROPN
cana-4166	66	7	parameters	parameter	NOUN
cana-4166	66	8	𝜃𝑖	𝜃𝑖	ADP
cana-4166	66	9	,	,	PUNCT
cana-4166	66	10	which	which	PRON
cana-4166	66	11	typically	typically	ADV
cana-4166	66	12	range	range	VERB
cana-4166	66	13	from	from	ADP
cana-4166	66	14	−∞	−∞	X
cana-4166	66	15	to	to	ADP
cana-4166	66	16	∞	∞	PROPN
cana-4166	66	17	,	,	PUNCT
cana-4166	66	18	it	it	PRON
cana-4166	66	19	is	be	AUX
cana-4166	66	20	the	the	DET
cana-4166	66	21	aim	aim	NOUN
cana-4166	66	22	.	.	PUNCT
cana-4166	67	1	based	base	VERB
cana-4166	67	2	on	on	ADP
cana-4166	67	3	a	a	DET
cana-4166	67	4	second	second	ADJ
cana-4166	67	5	nn	nn	NOUN
cana-4166	67	6	with	with	ADP
cana-4166	67	7	parameters	parameter	NOUN
cana-4166	67	8	�	�	PROPN
cana-4166	67	9	⃗	⃗	NOUN
cana-4166	67	10	�	�	PROPN
cana-4166	67	11	,	,	PUNCT
cana-4166	67	12	a	a	DET
cana-4166	67	13	mapping	mapping	NOUN
cana-4166	67	14	model	model	NOUN
cana-4166	67	15	𝐺	𝐺	PROPN
cana-4166	67	16	�	�	PROPN
cana-4166	67	17	⃗⃗⃗	⃗⃗⃗	PROPN
cana-4166	67	18	�	�	PROPN
cana-4166	67	19	is	be	AUX
cana-4166	67	20	presented	present	VERB
cana-4166	67	21	.	.	PUNCT
cana-4166	68	1	to	to	PART
cana-4166	68	2	integrate	integrate	VERB
cana-4166	68	3	basis	basis	NOUN
cana-4166	68	4	information	information	NOUN
cana-4166	68	5	and	and	CCONJ
cana-4166	68	6	measurement	measurement	NOUN
cana-4166	68	7	probabilities	probability	NOUN
cana-4166	68	8	requires	require	VERB
cana-4166	68	9	input	input	NOUN
cana-4166	68	10	vectors	vector	NOUN
cana-4166	68	11	𝑥𝑖⃗⃗⃗⃗	𝑥𝑖⃗⃗⃗⃗	PROPN
cana-4166	68	12	,	,	PUNCT
cana-4166	68	13	such	such	ADJ
cana-4166	68	14	as	as	ADP
cana-4166	68	15	[	[	X
cana-4166	68	16	0	0	NUM
cana-4166	68	17	,	,	PUNCT
cana-4166	68	18	1	1	NUM
cana-4166	68	19	,	,	PUNCT
cana-4166	68	20	0	0	NUM
cana-4166	68	21	,	,	PUNCT
cana-4166	68	22	0	0	NUM
cana-4166	68	23	,	,	PUNCT
cana-4166	68	24	1	1	NUM
cana-4166	68	25	,	,	PUNCT
cana-4166	68	26	0	0	NUM
cana-4166	68	27	,	,	PUNCT
cana-4166	68	28	0	0	NUM
cana-4166	68	29	,	,	PUNCT
cana-4166	68	30	0.023	0.023	NUM
cana-4166	68	31	]	]	PUNCT
cana-4166	68	32	for	for	ADP
cana-4166	68	33	a	a	DET
cana-4166	68	34	7	7	NUM
cana-4166	68	35	-	-	PUNCT
cana-4166	68	36	qubit	qubit	NOUN
cana-4166	68	37	system	system	NOUN
cana-4166	68	38	,	,	PUNCT
cana-4166	68	39	as	as	SCONJ
cana-4166	68	40	seen	see	VERB
cana-4166	68	41	in	in	ADP
cana-4166	68	42	|⟨0100100|𝜓⟩|2	|⟨0100100|𝜓⟩|2	NOUN
cana-4166	68	43	=	=	PROPN
cana-4166	68	44	0.023	0.023	NUM
cana-4166	68	45	.	.	PUNCT
cana-4166	69	1	in	in	ADP
cana-4166	69	2	contrast	contrast	NOUN
cana-4166	69	3	to	to	ADP
cana-4166	69	4	earlier	early	ADJ
cana-4166	69	5	models	model	NOUN
cana-4166	69	6	,	,	PUNCT
cana-4166	69	7	the	the	DET
cana-4166	69	8	mapping	mapping	NOUN
cana-4166	69	9	function	function	PROPN
cana-4166	69	10	𝐺	𝐺	PROPN
cana-4166	69	11	�	�	PROPN
cana-4166	69	12	⃗⃗⃗	⃗⃗⃗	PROPN
cana-4166	69	13	�	�	NOUN
cana-4166	69	14	(𝑥𝑖⃗⃗⃗⃗	(𝑥𝑖⃗⃗⃗⃗	NOUN
cana-4166	69	15	)	)	PUNCT
cana-4166	69	16	=	=	NOUN
cana-4166	69	17	𝜃𝑖	𝜃𝑖	ADP
cana-4166	69	18	dynamically	dynamically	ADV
cana-4166	69	19	determines	determine	VERB
cana-4166	69	20	,	,	PUNCT
cana-4166	69	21	allowing	allow	VERB
cana-4166	69	22	sign	sign	NOUN
cana-4166	69	23	flexibility	flexibility	NOUN
cana-4166	69	24	.	.	PUNCT
cana-4166	70	1	the	the	DET
cana-4166	70	2	model	model	NOUN
cana-4166	70	3	's	's	PART
cana-4166	70	4	applicability	applicability	NOUN
cana-4166	70	5	to	to	ADP
cana-4166	70	6	a	a	DET
cana-4166	70	7	wider	wide	ADJ
cana-4166	70	8	range	range	NOUN
cana-4166	70	9	of	of	ADP
cana-4166	70	10	machine	machine	NOUN
cana-4166	70	11	learning	learning	NOUN
cana-4166	70	12	(	(	PUNCT
cana-4166	70	13	ml	ml	NOUN
cana-4166	70	14	)	)	PUNCT
cana-4166	70	15	tasks	task	NOUN
cana-4166	70	16	is	be	AUX
cana-4166	70	17	increased	increase	VERB
cana-4166	70	18	by	by	ADP
cana-4166	70	19	this	this	DET
cana-4166	70	20	modification[16	modification[16	NOUN
cana-4166	70	21	]	]	PUNCT
cana-4166	70	22	.	.	PUNCT
cana-4166	71	1	b	b	X
cana-4166	71	2	)	)	PUNCT
cana-4166	71	3	construction	construction	NOUN
cana-4166	71	4	of	of	ADP
cana-4166	71	5	qnns	qnn	NOUN
cana-4166	71	6	the	the	DET
cana-4166	71	7	ry	ry	PROPN
cana-4166	71	8	gate	gate	PROPN
cana-4166	71	9	,	,	PUNCT
cana-4166	71	10	which	which	PRON
cana-4166	71	11	is	be	AUX
cana-4166	71	12	represented	represent	VERB
cana-4166	71	13	by	by	ADP
cana-4166	71	14	the	the	DET
cana-4166	71	15	following	following	NOUN
cana-4166	71	16	,	,	PUNCT
cana-4166	71	17	is	be	AUX
cana-4166	71	18	one	one	NUM
cana-4166	71	19	of	of	ADP
cana-4166	71	20	the	the	DET
cana-4166	71	21	parameterized	parameterized	ADJ
cana-4166	71	22	rotational	rotational	ADJ
cana-4166	71	23	gates	gate	NOUN
cana-4166	71	24	used	use	VERB
cana-4166	71	25	to	to	PART
cana-4166	71	26	produce	produce	VERB
cana-4166	71	27	the	the	DET
cana-4166	71	28	quantum	quantum	NOUN
cana-4166	71	29	state.⟨𝜓|	state.⟨𝜓|	NOUN
cana-4166	71	30	:	:	PUNCT
cana-4166	71	31	𝑅𝑦(𝜇	𝑅𝑦(𝜇	NOUN
cana-4166	71	32	)	)	PUNCT
cana-4166	71	33	=	=	PUNCT
cana-4166	71	34	[	[	PUNCT
cana-4166	71	35	𝑐𝑜𝑠(𝜇/2	𝑐𝑜𝑠(𝜇/2	PROPN
cana-4166	71	36	)	)	PUNCT
cana-4166	72	1	−	−	PROPN
cana-4166	72	2	𝑠	𝑠	NUM
cana-4166	72	3	𝑖	𝑖	SYM
cana-4166	72	4	𝑛(𝜇/2	𝑛(𝜇/2	PROPN
cana-4166	72	5	)	)	PUNCT
cana-4166	72	6	𝑠	𝑠	PROPN
cana-4166	72	7	𝑖	𝑖	SYM
cana-4166	72	8	𝑛(𝜇/2	𝑛(𝜇/2	PROPN
cana-4166	72	9	)	)	PUNCT
cana-4166	72	10	𝑐𝑜𝑠(𝜇/2	𝑐𝑜𝑠(𝜇/2	PROPN
cana-4166	72	11	)	)	PUNCT
cana-4166	72	12	]	]	PUNCT
cana-4166	73	1	(	(	PUNCT
cana-4166	73	2	1	1	X
cana-4166	73	3	)	)	PUNCT
cana-4166	73	4	in	in	ADP
cana-4166	73	5	a	a	DET
cana-4166	73	6	linear	linear	ADJ
cana-4166	73	7	arrangement	arrangement	NOUN
cana-4166	73	8	,	,	PUNCT
cana-4166	73	9	cnot	cnot	ADJ
cana-4166	73	10	gates	gate	NOUN
cana-4166	73	11	are	be	AUX
cana-4166	73	12	used	use	VERB
cana-4166	73	13	to	to	PART
cana-4166	73	14	induce	induce	VERB
cana-4166	73	15	entanglement	entanglement	NOUN
cana-4166	73	16	,	,	PUNCT
cana-4166	73	17	guaranteeing	guarantee	VERB
cana-4166	73	18	parameter	parameter	NOUN
cana-4166	73	19	scalability	scalability	NOUN
cana-4166	73	20	as	as	SCONJ
cana-4166	73	21	𝑂(𝑝𝑜𝑙𝑦	𝑂(𝑝𝑜𝑙𝑦	PROPN
cana-4166	73	22	𝑙𝑜𝑔(𝑀)).with	𝑙𝑜𝑔(𝑀)).with	PROPN
cana-4166	73	23	parameters	parameter	NOUN
cana-4166	73	24	�	�	PROPN
cana-4166	73	25	⃗⃗	⃗⃗	PROPN
cana-4166	73	26	�	�	PROPN
cana-4166	73	27	establishing	establish	VERB
cana-4166	73	28	the	the	DET
cana-4166	73	29	traditional	traditional	ADJ
cana-4166	73	30	nn	nn	ADJ
cana-4166	73	31	weights	weight	NOUN
cana-4166	73	32	via	via	ADP
cana-4166	73	33	the	the	DET
cana-4166	73	34	mapping	mapping	NOUN
cana-4166	73	35	model	model	NOUN
cana-4166	73	36	𝐺	𝐺	PROPN
cana-4166	73	37	�	�	PROPN
cana-4166	73	38	⃗⃗⃗	⃗⃗⃗	PROPN
cana-4166	73	39	�	�	PROPN
cana-4166	73	40	,	,	PUNCT
cana-4166	73	41	this	this	DET
cana-4166	73	42	configuration	configuration	NOUN
cana-4166	73	43	creates	create	VERB
cana-4166	73	44	the	the	DET
cana-4166	73	45	qnn	qnn	NOUN
cana-4166	73	46	.	.	PUNCT
cana-4166	74	1	c	c	X
cana-4166	74	2	)	)	PUNCT
cana-4166	74	3	training	training	NOUN
cana-4166	74	4	procedure	procedure	NOUN
cana-4166	74	5	for	for	ADP
cana-4166	74	6	quantum	quantum	NOUN
cana-4166	74	7	-	-	PUNCT
cana-4166	74	8	enhanced	enhance	VERB
cana-4166	74	9	learning	learning	NOUN
cana-4166	74	10	to	to	PART
cana-4166	74	11	increase	increase	VERB
cana-4166	74	12	capacity	capacity	NOUN
cana-4166	74	13	,	,	PUNCT
cana-4166	74	14	the	the	DET
cana-4166	74	15	qt	qt	NOUN
cana-4166	74	16	framework	framework	NOUN
cana-4166	74	17	entails	entail	VERB
cana-4166	74	18	building	build	VERB
cana-4166	74	19	an	an	DET
cana-4166	74	20	n	n	NUM
cana-4166	74	21	-	-	PUNCT
cana-4166	74	22	qubit	qubit	NOUN
cana-4166	74	23	qnn	qnn	NOUN
cana-4166	74	24	with	with	ADP
cana-4166	74	25	parameterized	parameterized	ADJ
cana-4166	74	26	ry	ry	NOUN
cana-4166	74	27	gates	gate	NOUN
cana-4166	74	28	in	in	ADP
cana-4166	74	29	blocks	block	NOUN
cana-4166	74	30	that	that	PRON
cana-4166	74	31	may	may	AUX
cana-4166	74	32	be	be	AUX
cana-4166	74	33	repeated	repeat	VERB
cana-4166	74	34	n	n	CCONJ
cana-4166	74	35	-	-	PUNCT
cana-4166	74	36	block	block	NOUN
cana-4166	74	37	times	time	NOUN
cana-4166	74	38	.	.	PUNCT
cana-4166	75	1	for	for	ADP
cana-4166	75	2	conventional	conventional	ADJ
cana-4166	75	3	training	training	NOUN
cana-4166	75	4	,	,	PUNCT
cana-4166	75	5	the	the	DET
cana-4166	75	6	classical	classical	ADJ
cana-4166	75	7	nn	nn	PROPN
cana-4166	75	8	employs	employ	VERB
cana-4166	75	9	parameters	parameter	NOUN
cana-4166	75	10	𝜃produced	𝜃produce	VERB
cana-4166	75	11	via	via	ADP
cana-4166	75	12	quantum	quantum	NOUN
cana-4166	75	13	-	-	PUNCT
cana-4166	75	14	classical	classical	ADJ
cana-4166	75	15	mapping	mapping	NOUN
cana-4166	75	16	,	,	PUNCT
cana-4166	75	17	directed	direct	VERB
cana-4166	75	18	by	by	ADP
cana-4166	75	19	the	the	DET
cana-4166	75	20	cross	cross	ADJ
cana-4166	75	21	-	-	ADJ
cana-4166	75	22	entropy	entropy	ADJ
cana-4166	75	23	loss	loss	NOUN
cana-4166	75	24	function	function	NOUN
cana-4166	75	25	:	:	PUNCT
cana-4166	75	26	communications	communication	NOUN
cana-4166	75	27	on	on	ADP
cana-4166	75	28	applied	apply	VERB
cana-4166	75	29	nonlinear	nonlinear	ADJ
cana-4166	75	30	analysis	analysis	NOUN
cana-4166	75	31	issn	issn	NOUN
cana-4166	75	32	:	:	PUNCT
cana-4166	75	33	1074	1074	NUM
cana-4166	75	34	-	-	PUNCT
cana-4166	75	35	133x	133x	NUM
cana-4166	75	36	vol	vol	NOUN
cana-4166	75	37	32	32	NUM
cana-4166	76	1	no	no	NOUN
cana-4166	76	2	.	.	PUNCT
cana-4166	77	1	9s	9s	NUM
cana-4166	77	2	(	(	PUNCT
cana-4166	77	3	2025	2025	NUM
cana-4166	77	4	)	)	PUNCT
cana-4166	78	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	78	2	1412	1412	NUM
cana-4166	78	3	ℓ𝐶𝐸	ℓ𝐶𝐸	NOUN
cana-4166	78	4	=	=	NOUN
cana-4166	78	5	−	−	PROPN
cana-4166	78	6	1	1	NUM
cana-4166	79	1	𝑁𝑑	𝑁𝑑	ADV
cana-4166	79	2	∑	∑	PROPN
cana-4166	79	3	[	[	X
cana-4166	79	4	𝑦𝑛	𝑦𝑛	ADP
cana-4166	79	5	𝑙𝑜𝑔	𝑙𝑜𝑔	PROPN
cana-4166	79	6	�	�	PROPN
cana-4166	79	7	̂	̂	NOUN
cana-4166	79	8	�	�	NOUN
cana-4166	79	9	𝑛	𝑛	PRON
cana-4166	79	10	+	+	X
cana-4166	79	11	(	(	PUNCT
cana-4166	79	12	1	1	NUM
cana-4166	79	13	−	−	NOUN
cana-4166	79	14	𝑦𝑛	𝑦𝑛	NOUN
cana-4166	79	15	)	)	PUNCT
cana-4166	79	16	𝑙𝑜𝑔(1	𝑙𝑜𝑔(1	PART
cana-4166	80	1	−	−	PROPN
cana-4166	80	2	�	�	SYM
cana-4166	80	3	̂	̂	SYM
cana-4166	80	4	�	�	NOUN
cana-4166	80	5	𝑛)]𝑁𝑑	𝑛)]𝑁𝑑	PART
cana-4166	80	6	𝑛=1	𝑛=1	NOUN
cana-4166	80	7	(	(	PUNCT
cana-4166	80	8	2	2	NUM
cana-4166	80	9	)	)	PUNCT
cana-4166	80	10	where	where	SCONJ
cana-4166	80	11	the	the	DET
cana-4166	80	12	real	real	ADJ
cana-4166	80	13	and	and	CCONJ
cana-4166	80	14	predicted	predict	VERB
cana-4166	80	15	labels	label	NOUN
cana-4166	80	16	are	be	AUX
cana-4166	80	17	denoted	denote	VERB
cana-4166	80	18	by	by	ADP
cana-4166	80	19	𝑦	𝑦	PROPN
cana-4166	80	20	𝑛	𝑛	ADJ
cana-4166	80	21	and	and	CCONJ
cana-4166	80	22	�	�	PROPN
cana-4166	80	23	̂	̂	NOUN
cana-4166	80	24	�	�	NOUN
cana-4166	80	25	𝑛	𝑛	PRON
cana-4166	80	26	respectively	respectively	ADV
cana-4166	80	27	.	.	PUNCT
cana-4166	81	1	for	for	ADP
cana-4166	81	2	shot	shot	NOUN
cana-4166	81	3	-	-	PUNCT
cana-4166	81	4	based	base	VERB
cana-4166	81	5	simulations	simulation	NOUN
cana-4166	81	6	,	,	PUNCT
cana-4166	81	7	gradients	gradient	NOUN
cana-4166	81	8	for	for	ADP
cana-4166	81	9	the	the	DET
cana-4166	81	10	qnn	qnn	NOUN
cana-4166	81	11	parameters	parameter	NOUN
cana-4166	81	12	�	�	PROPN
cana-4166	81	13	⃗⃗	⃗⃗	PROPN
cana-4166	81	14	�	�	PROPN
cana-4166	81	15	nd	nd	NOUN
cana-4166	81	16	mapping	mapping	NOUN
cana-4166	81	17	model	model	NOUN
cana-4166	81	18	⃗γ	⃗γ	ADV
cana-4166	81	19	are	be	AUX
cana-4166	81	20	calculated	calculate	VERB
cana-4166	81	21	analytically	analytically	ADV
cana-4166	81	22	or	or	CCONJ
cana-4166	81	23	via	via	ADP
cana-4166	81	24	the	the	DET
cana-4166	81	25	parameter	parameter	NOUN
cana-4166	81	26	-	-	PUNCT
cana-4166	81	27	shift	shift	NOUN
cana-4166	81	28	rule	rule	NOUN
cana-4166	81	29	.	.	PUNCT
cana-4166	82	1	by	by	ADP
cana-4166	82	2	directing	direct	VERB
cana-4166	82	3	repeated	repeat	VERB
cana-4166	82	4	updates	update	NOUN
cana-4166	82	5	,	,	PUNCT
cana-4166	82	6	these	these	DET
cana-4166	82	7	gradients	gradient	NOUN
cana-4166	82	8	help	help	VERB
cana-4166	82	9	to	to	PART
cana-4166	82	10	improve	improve	VERB
cana-4166	82	11	the	the	DET
cana-4166	82	12	nn	nn	PROPN
cana-4166	82	13	parameters	parameter	NOUN
cana-4166	82	14	.	.	PUNCT
cana-4166	83	1	b.	b.	PROPN
cana-4166	83	2	bottleneck	bottleneck	NOUN
cana-4166	83	3	attention	attention	NOUN
cana-4166	83	4	mechanism	mechanism	NOUN
cana-4166	83	5	the	the	DET
cana-4166	83	6	bottleneck	bottleneck	NOUN
cana-4166	83	7	attention	attention	NOUN
cana-4166	83	8	mechanism	mechanism	NOUN
cana-4166	83	9	(	(	PUNCT
cana-4166	83	10	bam	bam	NOUN
cana-4166	83	11	)	)	PUNCT
cana-4166	83	12	enhances	enhance	VERB
cana-4166	83	13	qcnn	qcnn	VERB
cana-4166	83	14	’s	’s	PART
cana-4166	83	15	ability	ability	NOUN
cana-4166	83	16	to	to	PART
cana-4166	83	17	focus	focus	VERB
cana-4166	83	18	on	on	ADP
cana-4166	83	19	key	key	ADJ
cana-4166	83	20	features	feature	NOUN
cana-4166	83	21	by	by	ADP
cana-4166	83	22	integrating	integrate	VERB
cana-4166	83	23	both	both	CCONJ
cana-4166	83	24	channel	channel	NOUN
cana-4166	83	25	and	and	CCONJ
cana-4166	83	26	spatial	spatial	ADJ
cana-4166	83	27	attention	attention	NOUN
cana-4166	83	28	.	.	PUNCT
cana-4166	84	1	channel	channel	NOUN
cana-4166	84	2	attention	attention	NOUN
cana-4166	84	3	learns	learn	VERB
cana-4166	84	4	to	to	PART
cana-4166	84	5	focus	focus	VERB
cana-4166	84	6	on	on	ADP
cana-4166	84	7	the	the	DET
cana-4166	84	8	most	most	ADV
cana-4166	84	9	important	important	ADJ
cana-4166	84	10	channels	channel	NOUN
cana-4166	84	11	(	(	PUNCT
cana-4166	84	12	features	feature	NOUN
cana-4166	84	13	)	)	PUNCT
cana-4166	84	14	by	by	ADP
cana-4166	84	15	computing	compute	VERB
cana-4166	84	16	a	a	DET
cana-4166	84	17	weight	weight	NOUN
cana-4166	84	18	vector	vector	NOUN
cana-4166	84	19	[	[	X
cana-4166	84	20	17	17	NUM
cana-4166	84	21	]	]	PUNCT
cana-4166	84	22	:	:	PUNCT
cana-4166	84	23	𝑊𝑐ℎ𝑎𝑛𝑛𝑒𝑙	𝑊𝑐ℎ𝑎𝑛𝑛𝑒𝑙	PROPN
cana-4166	84	24	=	=	SYM
cana-4166	84	25	𝜎	𝜎	PROPN
cana-4166	84	26	(	(	PUNCT
cana-4166	84	27	𝑀𝐿𝑃(𝐴𝑣𝑔𝑃𝑜𝑜𝑙(𝐹	𝑀𝐿𝑃(𝐴𝑣𝑔𝑃𝑜𝑜𝑙(𝐹	ADJ
cana-4166	84	28	)	)	PUNCT
cana-4166	84	29	+	+	SYM
cana-4166	84	30	𝑀𝑎𝑥𝑃𝑜𝑜𝑙(𝐹	𝑀𝑎𝑥𝑃𝑜𝑜𝑙(𝐹	NOUN
cana-4166	84	31	)	)	PUNCT
cana-4166	84	32	)	)	PUNCT
cana-4166	84	33	)	)	PUNCT
cana-4166	84	34	(	(	PUNCT
cana-4166	84	35	3	3	X
cana-4166	84	36	)	)	PUNCT
cana-4166	84	37	•	•	ADV
cana-4166	84	38	here	here	ADV
cana-4166	84	39	,	,	PUNCT
cana-4166	84	40	f	f	PROPN
cana-4166	84	41	is	be	AUX
cana-4166	84	42	the	the	DET
cana-4166	84	43	input	input	NOUN
cana-4166	84	44	feature	feature	NOUN
cana-4166	84	45	map	map	NOUN
cana-4166	84	46	,	,	PUNCT
cana-4166	84	47	and	and	CCONJ
cana-4166	84	48	σ	σ	PROPN
cana-4166	84	49	is	be	AUX
cana-4166	84	50	the	the	DET
cana-4166	84	51	sigmoid	sigmoid	NOUN
cana-4166	84	52	activation	activation	NOUN
cana-4166	84	53	function	function	NOUN
cana-4166	84	54	.	.	PUNCT
cana-4166	85	1	•	•	NOUN
cana-4166	85	2	the	the	DET
cana-4166	85	3	result	result	NOUN
cana-4166	85	4	is	be	AUX
cana-4166	85	5	a	a	DET
cana-4166	85	6	weight	weight	NOUN
cana-4166	85	7	vector	vector	NOUN
cana-4166	85	8	that	that	PRON
cana-4166	85	9	highlights	highlight	VERB
cana-4166	85	10	relevant	relevant	ADJ
cana-4166	85	11	feature	feature	NOUN
cana-4166	85	12	channels	channel	NOUN
cana-4166	85	13	.	.	PUNCT
cana-4166	86	1	spatial	spatial	ADJ
cana-4166	86	2	attention	attention	NOUN
cana-4166	86	3	emphasizes	emphasize	VERB
cana-4166	86	4	important	important	ADJ
cana-4166	86	5	regions	region	NOUN
cana-4166	86	6	in	in	ADP
cana-4166	86	7	the	the	DET
cana-4166	86	8	spatial	spatial	ADJ
cana-4166	86	9	dimension	dimension	NOUN
cana-4166	86	10	:	:	PUNCT
cana-4166	86	11	𝑊𝑠𝑝𝑎𝑡𝑖𝑎𝑙	𝑊𝑠𝑝𝑎𝑡𝑖𝑎𝑙	PROPN
cana-4166	86	12	=	=	PUNCT
cana-4166	86	13	𝜎(𝐶𝑜𝑛𝑣2𝐷([𝐴𝑣𝑔𝑃𝑜𝑜𝑙(𝐹	𝜎(𝐶𝑜𝑛𝑣2𝐷([𝐴𝑣𝑔𝑃𝑜𝑜𝑙(𝐹	PROPN
cana-4166	86	14	)	)	PUNCT
cana-4166	86	15	;	;	PUNCT
cana-4166	86	16	𝑀𝑎𝑥𝑃𝑜𝑜𝑙(𝐹	𝑀𝑎𝑥𝑃𝑜𝑜𝑙(𝐹	PROPN
cana-4166	86	17	)	)	PUNCT
cana-4166	86	18	]	]	PUNCT
cana-4166	86	19	)	)	PUNCT
cana-4166	86	20	)	)	PUNCT
cana-4166	87	1	(	(	PUNCT
cana-4166	87	2	4	4	X
cana-4166	87	3	)	)	PUNCT
cana-4166	87	4	the	the	DET
cana-4166	87	5	input	input	NOUN
cana-4166	87	6	to	to	ADP
cana-4166	87	7	the	the	DET
cana-4166	87	8	spatial	spatial	ADJ
cana-4166	87	9	attention	attention	NOUN
cana-4166	87	10	module	module	NOUN
cana-4166	87	11	is	be	AUX
cana-4166	87	12	a	a	DET
cana-4166	87	13	concatenation	concatenation	NOUN
cana-4166	87	14	of	of	ADP
cana-4166	87	15	average	average	ADJ
cana-4166	87	16	and	and	CCONJ
cana-4166	87	17	max	max	PROPN
cana-4166	87	18	-	-	PUNCT
cana-4166	87	19	pooled	pool	VERB
cana-4166	87	20	features	feature	NOUN
cana-4166	87	21	across	across	ADP
cana-4166	87	22	channels	channel	NOUN
cana-4166	87	23	.	.	PUNCT
cana-4166	88	1	the	the	DET
cana-4166	88	2	bottleneck	bottleneck	NOUN
cana-4166	88	3	attention	attention	NOUN
cana-4166	88	4	mechanism	mechanism	NOUN
cana-4166	88	5	multiplies	multiply	VERB
cana-4166	88	6	both	both	DET
cana-4166	88	7	channel	channel	NOUN
cana-4166	88	8	and	and	CCONJ
cana-4166	88	9	spatial	spatial	ADJ
cana-4166	88	10	attention	attention	NOUN
cana-4166	88	11	maps	map	NOUN
cana-4166	88	12	with	with	ADP
cana-4166	88	13	the	the	DET
cana-4166	88	14	input	input	NOUN
cana-4166	88	15	features	feature	VERB
cana-4166	88	16	:	:	PUNCT
cana-4166	88	17	𝐹′	𝐹′	PUNCT
cana-4166	88	18	=	=	PUNCT
cana-4166	88	19	𝑊𝑐ℎ𝑎𝑛𝑛𝑒𝑙(𝑊𝑠𝑝𝑎𝑡𝑖𝑎𝑙	𝑊𝑐ℎ𝑎𝑛𝑛𝑒𝑙(𝑊𝑠𝑝𝑎𝑡𝑖𝑎𝑙	ADJ
cana-4166	88	20	⋅	⋅	PROPN
cana-4166	88	21	𝐹	𝐹	PROPN
cana-4166	88	22	)	)	PUNCT
cana-4166	88	23	(	(	PUNCT
cana-4166	88	24	5	5	X
cana-4166	88	25	)	)	PUNCT
cana-4166	88	26	this	this	PRON
cana-4166	88	27	produces	produce	VERB
cana-4166	88	28	refined	refined	ADJ
cana-4166	88	29	features	feature	NOUN
cana-4166	88	30	that	that	PRON
cana-4166	88	31	are	be	AUX
cana-4166	88	32	fed	feed	VERB
cana-4166	88	33	into	into	ADP
cana-4166	88	34	the	the	DET
cana-4166	88	35	subsequent	subsequent	ADJ
cana-4166	88	36	layers	layer	NOUN
cana-4166	88	37	of	of	ADP
cana-4166	88	38	the	the	DET
cana-4166	88	39	qcnn	qcnn	PROPN
cana-4166	88	40	.	.	PUNCT
cana-4166	89	1	iv	iv	NUM
cana-4166	89	2	methodology	methodology	NOUN
cana-4166	89	3	the	the	DET
cana-4166	89	4	technique	technique	NOUN
cana-4166	89	5	entails	entail	VERB
cana-4166	89	6	data	datum	NOUN
cana-4166	89	7	preprocessing	preprocessing	NOUN
cana-4166	89	8	,	,	PUNCT
cana-4166	89	9	feature	feature	NOUN
cana-4166	89	10	encoding	encoding	NOUN
cana-4166	89	11	,	,	PUNCT
cana-4166	89	12	model	model	NOUN
cana-4166	89	13	creation	creation	NOUN
cana-4166	89	14	,	,	PUNCT
cana-4166	89	15	training	training	NOUN
cana-4166	89	16	,	,	PUNCT
cana-4166	89	17	and	and	CCONJ
cana-4166	89	18	assessment	assessment	NOUN
cana-4166	89	19	to	to	PART
cana-4166	89	20	identify	identify	VERB
cana-4166	89	21	unusual	unusual	ADJ
cana-4166	89	22	network	network	NOUN
cana-4166	89	23	activity	activity	NOUN
cana-4166	89	24	in	in	ADP
cana-4166	89	25	diverse	diverse	ADJ
cana-4166	89	26	cloud	cloud	NOUN
cana-4166	89	27	environments	environment	NOUN
cana-4166	89	28	such	such	ADJ
cana-4166	89	29	as	as	ADP
cana-4166	89	30	5	5	NUM
cana-4166	89	31	g	g	NOUN
cana-4166	89	32	and	and	CCONJ
cana-4166	89	33	ddos	ddo	VERB
cana-4166	89	34	attack	attack	NOUN
cana-4166	89	35	data	datum	NOUN
cana-4166	89	36	.	.	PUNCT
cana-4166	90	1	every	every	DET
cana-4166	90	2	step	step	NOUN
cana-4166	90	3	is	be	AUX
cana-4166	90	4	designed	design	VERB
cana-4166	90	5	to	to	PART
cana-4166	90	6	improve	improve	VERB
cana-4166	90	7	model	model	NOUN
cana-4166	90	8	performance	performance	NOUN
cana-4166	90	9	and	and	CCONJ
cana-4166	90	10	input	input	NOUN
cana-4166	90	11	data	datum	NOUN
cana-4166	90	12	quality	quality	NOUN
cana-4166	90	13	for	for	ADP
cana-4166	90	14	precise	precise	ADJ
cana-4166	90	15	attack	attack	NOUN
cana-4166	90	16	type	type	NOUN
cana-4166	90	17	categorization	categorization	NOUN
cana-4166	90	18	.	.	PUNCT
cana-4166	91	1	a.	a.	NOUN
cana-4166	91	2	data	data	PROPN
cana-4166	91	3	collection	collection	NOUN
cana-4166	91	4	this	this	DET
cana-4166	91	5	study	study	NOUN
cana-4166	91	6	used	use	VERB
cana-4166	91	7	two	two	NUM
cana-4166	91	8	datasets	dataset	NOUN
cana-4166	91	9	:	:	PUNCT
cana-4166	91	10	one	one	NUM
cana-4166	91	11	for	for	ADP
cana-4166	91	12	ddos	ddos	NOUN
cana-4166	91	13	evaluation	evaluation	NOUN
cana-4166	91	14	and	and	CCONJ
cana-4166	91	15	the	the	DET
cana-4166	91	16	other	other	ADJ
cana-4166	91	17	for	for	ADP
cana-4166	91	18	5	5	NUM
cana-4166	91	19	g	g	NOUN
cana-4166	91	20	non	non	ADJ
cana-4166	91	21	-	-	ADJ
cana-4166	91	22	ip	ip	ADJ
cana-4166	91	23	data	datum	NOUN
cana-4166	91	24	delivery	delivery	NOUN
cana-4166	91	25	(	(	PUNCT
cana-4166	91	26	nidd	nidd	PROPN
cana-4166	91	27	)	)	PUNCT
cana-4166	91	28	.	.	PUNCT
cana-4166	92	1	[	[	X
cana-4166	92	2	18],[19	18],[19	NUM
cana-4166	92	3	]	]	X
cana-4166	92	4	the	the	DET
cana-4166	92	5	datasets	dataset	NOUN
cana-4166	92	6	,	,	PUNCT
cana-4166	92	7	including	include	VERB
cana-4166	92	8	comprehensive	comprehensive	ADJ
cana-4166	92	9	network	network	NOUN
cana-4166	92	10	traffic	traffic	NOUN
cana-4166	92	11	records	record	NOUN
cana-4166	92	12	with	with	ADP
cana-4166	92	13	identified	identify	VERB
cana-4166	92	14	attack	attack	NOUN
cana-4166	92	15	types	type	NOUN
cana-4166	92	16	,	,	PUNCT
cana-4166	92	17	were	be	AUX
cana-4166	92	18	obtained	obtain	VERB
cana-4166	92	19	from	from	ADP
cana-4166	92	20	kaggle	kaggle	PROPN
cana-4166	92	21	.	.	PUNCT
cana-4166	93	1	the	the	DET
cana-4166	93	2	first	first	ADJ
cana-4166	93	3	phases	phase	NOUN
cana-4166	93	4	concentrated	concentrate	VERB
cana-4166	93	5	on	on	ADP
cana-4166	93	6	finding	find	VERB
cana-4166	93	7	common	common	ADJ
cana-4166	93	8	feature	feature	NOUN
cana-4166	93	9	columns	column	NOUN
cana-4166	93	10	for	for	ADP
cana-4166	93	11	a	a	DET
cana-4166	93	12	smooth	smooth	ADJ
cana-4166	93	13	merge	merge	NOUN
cana-4166	93	14	because	because	SCONJ
cana-4166	93	15	the	the	DET
cana-4166	93	16	datasets	dataset	NOUN
cana-4166	93	17	were	be	AUX
cana-4166	93	18	from	from	ADP
cana-4166	93	19	different	different	ADJ
cana-4166	93	20	sources	source	NOUN
cana-4166	93	21	.	.	PUNCT
cana-4166	94	1	high	high	ADJ
cana-4166	94	2	-	-	PUNCT
cana-4166	94	3	cardinality	cardinality	NOUN
cana-4166	94	4	categorical	categorical	ADJ
cana-4166	94	5	fields	field	NOUN
cana-4166	94	6	and	and	CCONJ
cana-4166	94	7	uncommon	uncommon	ADJ
cana-4166	94	8	characteristics	characteristic	NOUN
cana-4166	94	9	were	be	AUX
cana-4166	94	10	eliminated	eliminate	VERB
cana-4166	94	11	to	to	PART
cana-4166	94	12	reduce	reduce	VERB
cana-4166	94	13	noise	noise	NOUN
cana-4166	94	14	and	and	CCONJ
cana-4166	94	15	eliminate	eliminate	VERB
cana-4166	94	16	redundant	redundant	ADJ
cana-4166	94	17	information	information	NOUN
cana-4166	94	18	during	during	ADP
cana-4166	94	19	model	model	NOUN
cana-4166	94	20	training	training	NOUN
cana-4166	94	21	.	.	PUNCT
cana-4166	95	1	they	they	PRON
cana-4166	95	2	preserved	preserve	VERB
cana-4166	95	3	a	a	DET
cana-4166	95	4	consistent	consistent	ADJ
cana-4166	95	5	structure	structure	NOUN
cana-4166	95	6	across	across	ADP
cana-4166	95	7	datasets	dataset	NOUN
cana-4166	95	8	by	by	ADP
cana-4166	95	9	concentrating	concentrate	VERB
cana-4166	95	10	on	on	ADP
cana-4166	95	11	intersecting	intersecting	ADJ
cana-4166	95	12	columns	column	NOUN
cana-4166	95	13	,	,	PUNCT
cana-4166	95	14	which	which	PRON
cana-4166	95	15	enabled	enable	VERB
cana-4166	95	16	the	the	DET
cana-4166	95	17	model	model	NOUN
cana-4166	95	18	to	to	PART
cana-4166	95	19	generalize	generalize	VERB
cana-4166	95	20	well	well	ADV
cana-4166	95	21	across	across	ADP
cana-4166	95	22	various	various	ADJ
cana-4166	95	23	data	datum	NOUN
cana-4166	95	24	kinds	kind	NOUN
cana-4166	95	25	.	.	PUNCT
cana-4166	96	1	communications	communication	NOUN
cana-4166	96	2	on	on	ADP
cana-4166	96	3	applied	apply	VERB
cana-4166	96	4	nonlinear	nonlinear	ADJ
cana-4166	96	5	analysis	analysis	NOUN
cana-4166	96	6	issn	issn	NOUN
cana-4166	96	7	:	:	PUNCT
cana-4166	96	8	1074	1074	NUM
cana-4166	96	9	-	-	PUNCT
cana-4166	96	10	133x	133x	NUM
cana-4166	96	11	vol	vol	NOUN
cana-4166	96	12	32	32	NUM
cana-4166	96	13	no	no	NOUN
cana-4166	96	14	.	.	PUNCT
cana-4166	97	1	9s	9s	NUM
cana-4166	97	2	(	(	PUNCT
cana-4166	97	3	2025	2025	NUM
cana-4166	97	4	)	)	PUNCT
cana-4166	97	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	97	6	1413	1413	NUM
cana-4166	97	7	b.	b.	PROPN
cana-4166	97	8	data	data	PROPN
cana-4166	97	9	description	description	NOUN
cana-4166	97	10	the	the	DET
cana-4166	97	11	classification	classification	NOUN
cana-4166	97	12	model	model	NOUN
cana-4166	97	13	for	for	ADP
cana-4166	97	14	intrusion	intrusion	NOUN
cana-4166	97	15	detection	detection	NOUN
cana-4166	97	16	in	in	ADP
cana-4166	97	17	5	5	NUM
cana-4166	97	18	g	g	NOUN
cana-4166	97	19	and	and	CCONJ
cana-4166	97	20	ddos	ddo	NOUN
cana-4166	97	21	traffic	traffic	NOUN
cana-4166	97	22	was	be	AUX
cana-4166	97	23	constructed	construct	VERB
cana-4166	97	24	and	and	CCONJ
cana-4166	97	25	assessed	assess	VERB
cana-4166	97	26	in	in	ADP
cana-4166	97	27	this	this	DET
cana-4166	97	28	work	work	NOUN
cana-4166	97	29	using	use	VERB
cana-4166	97	30	two	two	NUM
cana-4166	97	31	main	main	ADJ
cana-4166	97	32	datasets	dataset	NOUN
cana-4166	97	33	.	.	PUNCT
cana-4166	98	1	the	the	DET
cana-4166	98	2	following	follow	VERB
cana-4166	98	3	are	be	AUX
cana-4166	98	4	these	these	DET
cana-4166	98	5	datasets	dataset	NOUN
cana-4166	98	6	:	:	PUNCT
cana-4166	98	7	•	•	NUM
cana-4166	98	8	5g	5g	NUM
cana-4166	98	9	-	-	PUNCT
cana-4166	98	10	nidd	nidd	ADJ
cana-4166	98	11	dataset	dataset	NOUN
cana-4166	98	12	:	:	PUNCT
cana-4166	98	13	created	create	VERB
cana-4166	98	14	to	to	PART
cana-4166	98	15	model	model	VERB
cana-4166	98	16	5	5	NUM
cana-4166	98	17	g	g	NOUN
cana-4166	98	18	non	non	ADJ
cana-4166	98	19	-	-	ADJ
cana-4166	98	20	ip	ip	ADJ
cana-4166	98	21	data	datum	NOUN
cana-4166	98	22	delivery	delivery	NOUN
cana-4166	98	23	(	(	PUNCT
cana-4166	98	24	nidd	nidd	PROPN
cana-4166	98	25	)	)	PUNCT
cana-4166	98	26	traffic	traffic	NOUN
cana-4166	98	27	,	,	PUNCT
cana-4166	98	28	this	this	DET
cana-4166	98	29	dataset	dataset	NOUN
cana-4166	98	30	classifies	classify	VERB
cana-4166	98	31	network	network	NOUN
cana-4166	98	32	behaviors	behavior	NOUN
cana-4166	98	33	into	into	ADP
cana-4166	98	34	several	several	ADJ
cana-4166	98	35	attack	attack	NOUN
cana-4166	98	36	and	and	CCONJ
cana-4166	98	37	non	non	ADJ
cana-4166	98	38	-	-	ADJ
cana-4166	98	39	attack	attack	ADJ
cana-4166	98	40	classifications	classification	NOUN
cana-4166	98	41	and	and	CCONJ
cana-4166	98	42	contains	contain	VERB
cana-4166	98	43	attributes	attribute	NOUN
cana-4166	98	44	pertinent	pertinent	ADJ
cana-4166	98	45	to	to	ADP
cana-4166	98	46	5	5	NUM
cana-4166	98	47	g	g	NOUN
cana-4166	98	48	network	network	NOUN
cana-4166	98	49	activity	activity	NOUN
cana-4166	98	50	.	.	PUNCT
cana-4166	99	1	this	this	DET
cana-4166	99	2	dataset	dataset	NOUN
cana-4166	99	3	's	's	PART
cana-4166	99	4	properties	property	NOUN
cana-4166	99	5	,	,	PUNCT
cana-4166	99	6	which	which	PRON
cana-4166	99	7	include	include	VERB
cana-4166	99	8	protocol	protocol	NOUN
cana-4166	99	9	type	type	NOUN
cana-4166	99	10	,	,	PUNCT
cana-4166	99	11	packet	packet	NOUN
cana-4166	99	12	flow	flow	NOUN
cana-4166	99	13	,	,	PUNCT
cana-4166	99	14	source	source	NOUN
cana-4166	99	15	and	and	CCONJ
cana-4166	99	16	destination	destination	NOUN
cana-4166	99	17	ip	ip	NOUN
cana-4166	99	18	,	,	PUNCT
cana-4166	99	19	timestamps	timestamp	NOUN
cana-4166	99	20	,	,	PUNCT
cana-4166	99	21	and	and	CCONJ
cana-4166	99	22	more	more	ADV
cana-4166	99	23	,	,	PUNCT
cana-4166	99	24	make	make	VERB
cana-4166	99	25	it	it	PRON
cana-4166	99	26	appropriate	appropriate	ADJ
cana-4166	99	27	for	for	ADP
cana-4166	99	28	identifying	identify	VERB
cana-4166	99	29	malicious	malicious	ADJ
cana-4166	99	30	or	or	CCONJ
cana-4166	99	31	unusual	unusual	ADJ
cana-4166	99	32	activity	activity	NOUN
cana-4166	99	33	in	in	ADP
cana-4166	99	34	a	a	DET
cana-4166	99	35	5	5	NUM
cana-4166	99	36	g	g	NOUN
cana-4166	99	37	network	network	NOUN
cana-4166	99	38	.	.	PUNCT
cana-4166	100	1	•	•	NUM
cana-4166	100	2	cic	cic	PROPN
cana-4166	100	3	-	-	PUNCT
cana-4166	100	4	ddos2019	ddos2019	PROPN
cana-4166	100	5	:	:	PUNCT
cana-4166	100	6	dataset	dataset	VERB
cana-4166	100	7	this	this	DET
cana-4166	100	8	dataset	dataset	NOUN
cana-4166	100	9	,	,	PUNCT
cana-4166	100	10	developed	develop	VERB
cana-4166	100	11	by	by	ADP
cana-4166	100	12	the	the	DET
cana-4166	100	13	canadian	canadian	PROPN
cana-4166	100	14	institute	institute	PROPN
cana-4166	100	15	for	for	ADP
cana-4166	100	16	cybersecurity	cybersecurity	NOUN
cana-4166	100	17	,	,	PUNCT
cana-4166	100	18	replicates	replicate	VERB
cana-4166	100	19	distributed	distribute	VERB
cana-4166	100	20	denial	denial	NOUN
cana-4166	100	21	-	-	PUNCT
cana-4166	100	22	of	of	ADP
cana-4166	100	23	-	-	PUNCT
cana-4166	100	24	service	service	NOUN
cana-4166	100	25	(	(	PUNCT
cana-4166	100	26	ddos	ddo	NOUN
cana-4166	100	27	)	)	PUNCT
cana-4166	100	28	assaults	assault	NOUN
cana-4166	100	29	using	use	VERB
cana-4166	100	30	a	a	DET
cana-4166	100	31	range	range	NOUN
cana-4166	100	32	of	of	ADP
cana-4166	100	33	protocols	protocol	NOUN
cana-4166	100	34	and	and	CCONJ
cana-4166	100	35	situations	situation	NOUN
cana-4166	100	36	.	.	PUNCT
cana-4166	101	1	it	it	PRON
cana-4166	101	2	is	be	AUX
cana-4166	101	3	perfect	perfect	ADJ
cana-4166	101	4	for	for	ADP
cana-4166	101	5	testing	test	VERB
cana-4166	101	6	the	the	DET
cana-4166	101	7	model	model	NOUN
cana-4166	101	8	's	's	PART
cana-4166	101	9	resilience	resilience	NOUN
cana-4166	101	10	to	to	PART
cana-4166	101	11	ddos	ddos	NOUN
cana-4166	101	12	attacks	attack	NOUN
cana-4166	101	13	.	.	PUNCT
cana-4166	102	1	it	it	PRON
cana-4166	102	2	contains	contain	VERB
cana-4166	102	3	comprehensive	comprehensive	ADJ
cana-4166	102	4	network	network	NOUN
cana-4166	102	5	flow	flow	NOUN
cana-4166	102	6	information	information	NOUN
cana-4166	102	7	,	,	PUNCT
cana-4166	102	8	such	such	ADJ
cana-4166	102	9	as	as	ADP
cana-4166	102	10	packet	packet	NOUN
cana-4166	102	11	size	size	NOUN
cana-4166	102	12	,	,	PUNCT
cana-4166	102	13	flow	flow	NOUN
cana-4166	102	14	time	time	NOUN
cana-4166	102	15	,	,	PUNCT
cana-4166	102	16	source	source	NOUN
cana-4166	102	17	and	and	CCONJ
cana-4166	102	18	destination	destination	NOUN
cana-4166	102	19	ports	port	NOUN
cana-4166	102	20	,	,	PUNCT
cana-4166	102	21	and	and	CCONJ
cana-4166	102	22	features	feature	VERB
cana-4166	102	23	that	that	DET
cana-4166	102	24	record	record	NOUN
cana-4166	102	25	ddos	ddos	NOUN
cana-4166	102	26	patterns	pattern	NOUN
cana-4166	102	27	.	.	PUNCT
cana-4166	103	1	c.	c.	PROPN
cana-4166	103	2	data	data	PROPN
cana-4166	103	3	preprocessing	preprocesse	VERB
cana-4166	103	4	a	a	DET
cana-4166	103	5	)	)	PUNCT
cana-4166	103	6	data	datum	NOUN
cana-4166	103	7	cleaning	clean	VERB
cana-4166	103	8	data	datum	NOUN
cana-4166	103	9	cleaning	cleaning	NOUN
cana-4166	103	10	was	be	AUX
cana-4166	103	11	done	do	VERB
cana-4166	103	12	to	to	PART
cana-4166	103	13	fix	fix	VERB
cana-4166	103	14	missing	missing	ADJ
cana-4166	103	15	values	value	NOUN
cana-4166	103	16	,	,	PUNCT
cana-4166	103	17	guarantee	guarantee	VERB
cana-4166	103	18	data	datum	NOUN
cana-4166	103	19	consistency	consistency	NOUN
cana-4166	103	20	,	,	PUNCT
cana-4166	103	21	and	and	CCONJ
cana-4166	103	22	get	get	VERB
cana-4166	103	23	features	feature	NOUN
cana-4166	103	24	ready	ready	ADJ
cana-4166	103	25	for	for	ADP
cana-4166	103	26	model	model	NOUN
cana-4166	103	27	feeding	feeding	NOUN
cana-4166	103	28	.	.	PUNCT
cana-4166	104	1	whereas	whereas	SCONJ
cana-4166	104	2	categorical	categorical	ADJ
cana-4166	104	3	fields	field	NOUN
cana-4166	104	4	with	with	ADP
cana-4166	104	5	missing	missing	ADJ
cana-4166	104	6	entries	entry	NOUN
cana-4166	104	7	were	be	AUX
cana-4166	104	8	supplied	supply	VERB
cana-4166	104	9	with	with	ADP
cana-4166	104	10	a	a	DET
cana-4166	104	11	placeholder	placeholder	NOUN
cana-4166	104	12	,	,	PUNCT
cana-4166	104	13	numerical	numerical	ADJ
cana-4166	104	14	columns	column	NOUN
cana-4166	104	15	with	with	ADP
cana-4166	104	16	missing	miss	VERB
cana-4166	104	17	values	value	NOUN
cana-4166	104	18	were	be	AUX
cana-4166	104	19	approximated	approximate	VERB
cana-4166	104	20	using	use	VERB
cana-4166	104	21	column	column	NOUN
cana-4166	104	22	means	mean	VERB
cana-4166	104	23	[	[	X
cana-4166	104	24	20	20	NUM
cana-4166	104	25	]	]	PUNCT
cana-4166	104	26	.	.	PUNCT
cana-4166	105	1	since	since	SCONJ
cana-4166	105	2	they	they	PRON
cana-4166	105	3	do	do	AUX
cana-4166	105	4	n't	not	PART
cana-4166	105	5	improve	improve	VERB
cana-4166	105	6	model	model	NOUN
cana-4166	105	7	performance	performance	NOUN
cana-4166	105	8	and	and	CCONJ
cana-4166	105	9	might	might	AUX
cana-4166	105	10	introduce	introduce	VERB
cana-4166	105	11	noise	noise	NOUN
cana-4166	105	12	,	,	PUNCT
cana-4166	105	13	identifier	identifier	NOUN
cana-4166	105	14	columns	column	NOUN
cana-4166	105	15	(	(	PUNCT
cana-4166	105	16	such	such	ADJ
cana-4166	105	17	as	as	ADP
cana-4166	105	18	source	source	NOUN
cana-4166	105	19	ip	ip	NOUN
cana-4166	105	20	and	and	CCONJ
cana-4166	105	21	date	date	NOUN
cana-4166	105	22	)	)	PUNCT
cana-4166	105	23	were	be	AUX
cana-4166	105	24	removed	remove	VERB
cana-4166	105	25	[	[	X
cana-4166	105	26	21	21	NUM
cana-4166	105	27	]	]	PUNCT
cana-4166	105	28	.	.	PUNCT
cana-4166	106	1	b	b	X
cana-4166	106	2	)	)	PUNCT
cana-4166	106	3	feature	feature	NOUN
cana-4166	106	4	engineering	engineering	NOUN
cana-4166	106	5	to	to	PART
cana-4166	106	6	assure	assure	VERB
cana-4166	106	7	compatibility	compatibility	NOUN
cana-4166	106	8	with	with	ADP
cana-4166	106	9	convolutional	convolutional	ADJ
cana-4166	106	10	neural	neural	ADJ
cana-4166	106	11	networks	network	NOUN
cana-4166	106	12	(	(	PUNCT
cana-4166	106	13	cnn	cnn	PROPN
cana-4166	106	14	)	)	PUNCT
cana-4166	107	1	,	,	PUNCT
cana-4166	107	2	categorical	categorical	ADJ
cana-4166	107	3	features	feature	NOUN
cana-4166	107	4	were	be	AUX
cana-4166	107	5	then	then	ADV
cana-4166	107	6	one	one	NUM
cana-4166	107	7	-	-	PUNCT
cana-4166	107	8	hot	hot	ADJ
cana-4166	107	9	encoded	encode	VERB
cana-4166	107	10	using	use	VERB
cana-4166	107	11	one	one	NUM
cana-4166	107	12	hot	hot	ADJ
cana-4166	107	13	encoder	encoder	NOUN
cana-4166	107	14	,	,	PUNCT
cana-4166	107	15	an	an	DET
cana-4166	107	16	efficient	efficient	ADJ
cana-4166	107	17	technique	technique	NOUN
cana-4166	107	18	for	for	ADP
cana-4166	107	19	processing	process	VERB
cana-4166	107	20	non	non	ADJ
cana-4166	107	21	-	-	ADJ
cana-4166	107	22	numeric	numeric	ADJ
cana-4166	107	23	input	input	NOUN
cana-4166	107	24	that	that	PRON
cana-4166	107	25	transforms	transform	VERB
cana-4166	107	26	categorical	categorical	ADJ
cana-4166	107	27	columns	column	NOUN
cana-4166	107	28	into	into	ADP
cana-4166	107	29	binary	binary	ADJ
cana-4166	107	30	vectors	vector	NOUN
cana-4166	107	31	[	[	X
cana-4166	107	32	22	22	NUM
cana-4166	107	33	]	]	PUNCT
cana-4166	107	34	.	.	PUNCT
cana-4166	108	1	to	to	PART
cana-4166	108	2	lessen	lessen	VERB
cana-4166	108	3	feature	feature	NOUN
cana-4166	108	4	magnitude	magnitude	NOUN
cana-4166	108	5	bias	bias	NOUN
cana-4166	108	6	and	and	CCONJ
cana-4166	108	7	encourage	encourage	VERB
cana-4166	108	8	quicker	quick	ADJ
cana-4166	108	9	convergence	convergence	NOUN
cana-4166	108	10	during	during	ADP
cana-4166	108	11	model	model	NOUN
cana-4166	108	12	training	training	NOUN
cana-4166	108	13	,	,	PUNCT
cana-4166	108	14	all	all	DET
cana-4166	108	15	numerical	numerical	ADJ
cana-4166	108	16	features	feature	NOUN
cana-4166	108	17	were	be	AUX
cana-4166	108	18	also	also	ADV
cana-4166	108	19	normalized	normalize	VERB
cana-4166	108	20	using	use	VERB
cana-4166	108	21	standard	standard	ADJ
cana-4166	108	22	scaler	scaler	NOUN
cana-4166	108	23	[	[	X
cana-4166	108	24	23	23	NUM
cana-4166	108	25	]	]	PUNCT
cana-4166	108	26	.	.	PUNCT
cana-4166	109	1	algorithm	algorithm	NOUN
cana-4166	109	2	1	1	NUM
cana-4166	109	3	data	datum	NOUN
cana-4166	109	4	preprocessing	preprocesse	VERB
cana-4166	109	5	for	for	ADP
cana-4166	109	6	5g	5g	NUM
cana-4166	109	7	-	-	PUNCT
cana-4166	109	8	nidd	nidd	VERB
cana-4166	109	9	and	and	CCONJ
cana-4166	109	10	ddos	ddo	NOUN
cana-4166	109	11	dataset	dataset	VERB
cana-4166	109	12	1	1	NUM
cana-4166	109	13	.	.	PUNCT
cana-4166	110	1	input	input	NOUN
cana-4166	110	2	:	:	PUNCT
cana-4166	110	3	raw	raw	ADJ
cana-4166	110	4	datasets	dataset	NOUN
cana-4166	110	5	d5	d5	PROPN
cana-4166	110	6	g	g	NOUN
cana-4166	110	7	and	and	CCONJ
cana-4166	110	8	ddos	ddo	NOUN
cana-4166	110	9	2	2	NUM
cana-4166	110	10	.	.	PUNCT
cana-4166	111	1	output	output	NOUN
cana-4166	111	2	:	:	PUNCT
cana-4166	111	3	cleaned	clean	VERB
cana-4166	111	4	and	and	CCONJ
cana-4166	111	5	merged	merge	VERB
cana-4166	111	6	dataset	dataset	NOUN
cana-4166	111	7	dcleaned	dcleane	VERB
cana-4166	111	8	3	3	NUM
cana-4166	111	9	.	.	PUNCT
cana-4166	111	10	procedure	procedure	NOUN
cana-4166	111	11	:	:	PUNCT
cana-4166	111	12	data	datum	NOUN
cana-4166	111	13	preprocessing	preprocesse	VERB
cana-4166	111	14	4	4	NUM
cana-4166	111	15	.	.	PUNCT
cana-4166	111	16	step	step	NOUN
cana-4166	111	17	1	1	NUM
cana-4166	111	18	.	.	PUNCT
cana-4166	111	19	load	load	VERB
cana-4166	111	20	the	the	DET
cana-4166	111	21	5g	5g	NUM
cana-4166	111	22	-	-	PUNCT
cana-4166	111	23	nidd	nidd	ADJ
cana-4166	111	24	dataset	dataset	NOUN
cana-4166	111	25	as	as	ADP
cana-4166	111	26	d5	d5	NOUN
cana-4166	111	27	g	g	PROPN
cana-4166	111	28	and	and	CCONJ
cana-4166	111	29	the	the	DET
cana-4166	111	30	cic	cic	PROPN
cana-4166	111	31	-	-	PUNCT
cana-4166	111	32	ddos2019	ddos2019	VERB
cana-4166	111	33	dataset	dataset	VERB
cana-4166	111	34	as	as	ADP
cana-4166	111	35	ddos	ddo	NOUN
cana-4166	111	36	.	.	PUNCT
cana-4166	112	1	5	5	NUM
cana-4166	112	2	.	.	X
cana-4166	112	3	step	step	NOUN
cana-4166	112	4	2	2	NUM
cana-4166	112	5	.	.	PUNCT
cana-4166	112	6	standardize	standardize	VERB
cana-4166	112	7	column	column	NOUN
cana-4166	112	8	names	name	NOUN
cana-4166	112	9	6	6	NUM
cana-4166	112	10	.	.	PUNCT
cana-4166	113	1	for	for	ADP
cana-4166	113	2	each	each	DET
cana-4166	113	3	dataset	dataset	VERB
cana-4166	113	4	d	d	PROPN
cana-4166	113	5	in	in	ADP
cana-4166	113	6	{	{	PUNCT
cana-4166	113	7	d5	d5	NOUN
cana-4166	113	8	g	g	NOUN
cana-4166	113	9	,	,	PUNCT
cana-4166	113	10	ddos	ddo	NOUN
cana-4166	113	11	}	}	PUNCT
cana-4166	113	12	do	do	VERB
cana-4166	113	13	#	#	NOUN
cana-4166	113	14	process	process	NOUN
cana-4166	113	15	each	each	DET
cana-4166	113	16	dataset	dataset	NOUN
cana-4166	113	17	.	.	PUNCT
cana-4166	114	1	7	7	X
cana-4166	114	2	.	.	X
cana-4166	114	3	convert	convert	VERB
cana-4166	114	4	all	all	DET
cana-4166	114	5	column	column	NOUN
cana-4166	114	6	names	name	NOUN
cana-4166	114	7	to	to	PART
cana-4166	114	8	lowercase	lowercase	VERB
cana-4166	114	9	.	.	PUNCT
cana-4166	115	1	#	#	NOUN
cana-4166	115	2	ensure	ensure	VERB
cana-4166	115	3	uniformity	uniformity	NOUN
cana-4166	115	4	in	in	ADP
cana-4166	115	5	case	case	NOUN
cana-4166	115	6	.	.	PUNCT
cana-4166	116	1	8	8	X
cana-4166	116	2	.	.	X
cana-4166	116	3	remove	remove	VERB
cana-4166	116	4	leading	lead	VERB
cana-4166	116	5	/	/	SYM
cana-4166	116	6	trailing	trail	VERB
cana-4166	116	7	whitespaces	whitespace	NOUN
cana-4166	116	8	from	from	ADP
cana-4166	116	9	column	column	NOUN
cana-4166	116	10	names	name	NOUN
cana-4166	116	11	.	.	PUNCT
cana-4166	117	1	#	#	NOUN
cana-4166	117	2	clean	clean	ADJ
cana-4166	117	3	column	column	NOUN
cana-4166	117	4	names	name	NOUN
cana-4166	117	5	.	.	PUNCT
cana-4166	118	1	9	9	X
cana-4166	118	2	.	.	X
cana-4166	118	3	end	end	NOUN
cana-4166	118	4	for	for	ADP
cana-4166	118	5	10	10	NUM
cana-4166	118	6	.	.	PUNCT
cana-4166	119	1	step	step	NOUN
cana-4166	119	2	3	3	NUM
cana-4166	119	3	.	.	PUNCT
cana-4166	119	4	retain	retain	VERB
cana-4166	119	5	common	common	ADJ
cana-4166	119	6	columns	column	NOUN
cana-4166	119	7	communications	communication	NOUN
cana-4166	119	8	on	on	ADP
cana-4166	119	9	applied	apply	VERB
cana-4166	119	10	nonlinear	nonlinear	ADJ
cana-4166	119	11	analysis	analysis	NOUN
cana-4166	119	12	issn	issn	NOUN
cana-4166	119	13	:	:	PUNCT
cana-4166	119	14	1074	1074	NUM
cana-4166	119	15	-	-	PUNCT
cana-4166	119	16	133x	133x	NUM
cana-4166	119	17	vol	vol	NOUN
cana-4166	119	18	32	32	NUM
cana-4166	120	1	no	no	NOUN
cana-4166	120	2	.	.	PUNCT
cana-4166	121	1	9s	9s	NUM
cana-4166	121	2	(	(	PUNCT
cana-4166	121	3	2025	2025	NUM
cana-4166	121	4	)	)	PUNCT
cana-4166	121	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	121	6	1414	1414	NUM
cana-4166	121	7	11	11	NUM
cana-4166	121	8	.	.	PUNCT
cana-4166	122	1	identify	identify	VERB
cana-4166	122	2	common	common	ADJ
cana-4166	122	3	columns	column	NOUN
cana-4166	122	4	between	between	ADP
cana-4166	122	5	d5	d5	NOUN
cana-4166	122	6	g	g	PROPN
cana-4166	122	7	and	and	CCONJ
cana-4166	122	8	ddos	ddo	NOUN
cana-4166	122	9	,	,	PUNCT
cana-4166	122	10	denoted	denote	VERB
cana-4166	122	11	as	as	ADP
cana-4166	122	12	common	common	ADJ
cana-4166	122	13	.	.	PUNCT
cana-4166	123	1	12	12	NUM
cana-4166	123	2	.	.	PUNCT
cana-4166	124	1	create	create	VERB
cana-4166	124	2	merged	merge	VERB
cana-4166	124	3	dataset	dataset	NOUN
cana-4166	124	4	dmerged	dmerge	VERB
cana-4166	125	1	=	=	SYM
cana-4166	125	2	d5g[common	d5g[common	PROPN
cana-4166	125	3	]	]	PUNCT
cana-4166	125	4	∪	∪	NOUN
cana-4166	125	5	ddos	ddo	NOUN
cana-4166	125	6	[	[	X
cana-4166	125	7	common	common	ADJ
cana-4166	125	8	]	]	X
cana-4166	125	9	.	.	PUNCT
cana-4166	126	1	13	13	NUM
cana-4166	126	2	.	.	X
cana-4166	126	3	step	step	NOUN
cana-4166	126	4	4	4	NUM
cana-4166	126	5	.	.	PUNCT
cana-4166	126	6	label	label	NOUN
cana-4166	126	7	standardization	standardization	NOUN
cana-4166	126	8	14	14	NUM
cana-4166	126	9	.	.	PUNCT
cana-4166	127	1	replace	replace	VERB
cana-4166	127	2	the	the	DET
cana-4166	127	3	"	"	PUNCT
cana-4166	127	4	benign	benign	ADJ
cana-4166	127	5	"	"	PUNCT
cana-4166	127	6	label	label	NOUN
cana-4166	127	7	in	in	ADP
cana-4166	127	8	ddos	ddo	NOUN
cana-4166	127	9	with	with	ADP
cana-4166	127	10	"	"	PUNCT
cana-4166	127	11	benign	benign	NOUN
cana-4166	127	12	"	"	PUNCT
cana-4166	127	13	for	for	ADP
cana-4166	127	14	consistency	consistency	NOUN
cana-4166	127	15	.	.	PUNCT
cana-4166	128	1	#	#	NOUN
cana-4166	128	2	standardize	standardize	NOUN
cana-4166	128	3	class	class	NOUN
cana-4166	128	4	labels	label	NOUN
cana-4166	128	5	.	.	PUNCT
cana-4166	129	1	15	15	NUM
cana-4166	129	2	.	.	X
cana-4166	129	3	step	step	NOUN
cana-4166	129	4	5	5	NUM
cana-4166	129	5	.	.	PUNCT
cana-4166	129	6	handle	handle	VERB
cana-4166	129	7	missing	miss	VERB
cana-4166	129	8	values	value	NOUN
cana-4166	129	9	for	for	ADP
cana-4166	129	10	each	each	DET
cana-4166	129	11	column	column	NOUN
cana-4166	129	12	in	in	ADP
cana-4166	129	13	dmerged	dmerged	ADJ
cana-4166	129	14	do	do	VERB
cana-4166	129	15	#	#	NOUN
cana-4166	129	16	iterate	iterate	NOUN
cana-4166	129	17	through	through	ADP
cana-4166	129	18	each	each	DET
cana-4166	129	19	column	column	NOUN
cana-4166	129	20	.	.	PUNCT
cana-4166	130	1	16	16	NUM
cana-4166	130	2	.	.	PUNCT
cana-4166	131	1	if	if	SCONJ
cana-4166	131	2	the	the	DET
cana-4166	131	3	column	column	NOUN
cana-4166	131	4	type	type	NOUN
cana-4166	131	5	is	be	AUX
cana-4166	131	6	numeric	numeric	ADJ
cana-4166	131	7	then	then	ADV
cana-4166	131	8	replace	replace	VERB
cana-4166	131	9	missing	missing	ADJ
cana-4166	131	10	values	value	NOUN
cana-4166	131	11	with	with	ADP
cana-4166	131	12	the	the	DET
cana-4166	131	13	column	column	NOUN
cana-4166	131	14	mean	mean	NOUN
cana-4166	131	15	.	.	PUNCT
cana-4166	132	1	17	17	NUM
cana-4166	132	2	.	.	X
cana-4166	132	3	else	else	ADV
cana-4166	132	4	18	18	NUM
cana-4166	132	5	.	.	PUNCT
cana-4166	133	1	replace	replace	VERB
cana-4166	133	2	missing	miss	VERB
cana-4166	133	3	values	value	NOUN
cana-4166	133	4	with	with	ADP
cana-4166	133	5	"	"	PUNCT
cana-4166	133	6	0	0	NUM
cana-4166	133	7	"	"	PUNCT
cana-4166	133	8	or	or	CCONJ
cana-4166	133	9	a	a	DET
cana-4166	133	10	suitable	suitable	ADJ
cana-4166	133	11	placeholder	placeholder	NOUN
cana-4166	133	12	.	.	PUNCT
cana-4166	134	1	#	#	NOUN
cana-4166	134	2	impute	impute	NOUN
cana-4166	134	3	non	non	ADJ
cana-4166	134	4	-	-	ADJ
cana-4166	134	5	numeric	numeric	ADJ
cana-4166	134	6	missing	missing	ADJ
cana-4166	134	7	values	value	NOUN
cana-4166	134	8	.	.	PUNCT
cana-4166	135	1	19	19	NUM
cana-4166	135	2	.	.	NOUN
cana-4166	135	3	end	end	VERB
cana-4166	135	4	if	if	SCONJ
cana-4166	135	5	20	20	NUM
cana-4166	135	6	.	.	PUNCT
cana-4166	135	7	end	end	VERB
cana-4166	135	8	for	for	ADP
cana-4166	135	9	21	21	NUM
cana-4166	135	10	.	.	PUNCT
cana-4166	136	1	step	step	NOUN
cana-4166	136	2	6	6	NUM
cana-4166	136	3	.	.	PUNCT
cana-4166	137	1	drop	drop	VERB
cana-4166	137	2	irrelevant	irrelevant	ADJ
cana-4166	137	3	columns	column	NOUN
cana-4166	137	4	22	22	NUM
cana-4166	137	5	.	.	PUNCT
cana-4166	138	1	define	define	VERB
cana-4166	138	2	columns	column	NOUN
cana-4166	138	3	to	to	PART
cana-4166	138	4	drop	drop	VERB
cana-4166	138	5	as	as	ADP
cana-4166	138	6	cdrop	cdrop	NOUN
cana-4166	138	7	=	=	SYM
cana-4166	138	8	{	{	PUNCT
cana-4166	138	9	"	"	PUNCT
cana-4166	138	10	flow	flow	NOUN
cana-4166	138	11	-	-	PUNCT
cana-4166	138	12	id	id	NOUN
cana-4166	138	13	"	"	PUNCT
cana-4166	138	14	,	,	PUNCT
cana-4166	138	15	"	"	PUNCT
cana-4166	138	16	source	source	NOUN
cana-4166	138	17	ip	ip	NOUN
cana-4166	138	18	"	"	PUNCT
cana-4166	138	19	,	,	PUNCT
cana-4166	138	20	"	"	PUNCT
cana-4166	138	21	destination	destination	NOUN
cana-4166	138	22	ip	ip	NOUN
cana-4166	138	23	"	"	PUNCT
cana-4166	138	24	,	,	PUNCT
cana-4166	138	25	"	"	PUNCT
cana-4166	138	26	timestamp	timestamp	NOUN
cana-4166	138	27	"	"	PUNCT
cana-4166	138	28	,	,	PUNCT
cana-4166	138	29	23	23	NUM
cana-4166	138	30	.	.	PUNCT
cana-4166	139	1	"	"	PUNCT
cana-4166	139	2	proto	proto	NOUN
cana-4166	139	3	"	"	PUNCT
cana-4166	139	4	,	,	PUNCT
cana-4166	139	5	"	"	PUNCT
cana-4166	139	6	attack	attack	NOUN
cana-4166	139	7	type	type	NOUN
cana-4166	139	8	"	"	PUNCT
cana-4166	139	9	,	,	PUNCT
cana-4166	139	10	"	"	PUNCT
cana-4166	139	11	state	state	NOUN
cana-4166	139	12	"	"	PUNCT
cana-4166	139	13	,	,	PUNCT
cana-4166	139	14	"	"	PUNCT
cana-4166	139	15	attack	attack	NOUN
cana-4166	139	16	tool	tool	NOUN
cana-4166	139	17	"	"	PUNCT
cana-4166	139	18	}	}	PUNCT
cana-4166	139	19	.	.	PUNCT
cana-4166	140	1	#	#	NOUN
cana-4166	140	2	identify	identify	VERB
cana-4166	140	3	irrelevant	irrelevant	ADJ
cana-4166	140	4	columns	column	NOUN
cana-4166	140	5	.	.	PUNCT
cana-4166	141	1	24	24	NUM
cana-4166	141	2	.	.	PUNCT
cana-4166	142	1	drop	drop	VERB
cana-4166	142	2	columns	column	NOUN
cana-4166	142	3	in	in	ADP
cana-4166	142	4	cdrop	cdrop	NOUN
cana-4166	142	5	from	from	ADP
cana-4166	142	6	dmerged	dmerge	VERB
cana-4166	142	7	.	.	PUNCT
cana-4166	143	1	#	#	NOUN
cana-4166	143	2	remove	remove	VERB
cana-4166	143	3	irrelevant	irrelevant	ADJ
cana-4166	143	4	data	datum	NOUN
cana-4166	143	5	.	.	PUNCT
cana-4166	144	1	25	25	NUM
cana-4166	144	2	.	.	PUNCT
cana-4166	144	3	step	step	NOUN
cana-4166	144	4	7	7	NUM
cana-4166	144	5	.	.	PUNCT
cana-4166	144	6	one	one	NUM
cana-4166	144	7	-	-	PUNCT
cana-4166	144	8	hot	hot	ADJ
cana-4166	144	9	encode	encode	ADJ
cana-4166	144	10	categorical	categorical	ADJ
cana-4166	144	11	features	feature	NOUN
cana-4166	144	12	26	26	NUM
cana-4166	144	13	.	.	PUNCT
cana-4166	145	1	for	for	ADP
cana-4166	145	2	each	each	DET
cana-4166	145	3	categorical	categorical	ADJ
cana-4166	145	4	column	column	NOUN
cana-4166	145	5	in	in	ADP
cana-4166	145	6	dmerged	dmerged	ADJ
cana-4166	145	7	do	do	VERB
cana-4166	145	8	#	#	NOUN
cana-4166	145	9	process	process	NOUN
cana-4166	145	10	categorical	categorical	ADJ
cana-4166	145	11	attributes	attribute	NOUN
cana-4166	145	12	.	.	PUNCT
cana-4166	146	1	27	27	NUM
cana-4166	146	2	.	.	PUNCT
cana-4166	146	3	apply	apply	VERB
cana-4166	146	4	one	one	NUM
cana-4166	146	5	-	-	PUNCT
cana-4166	146	6	hot	hot	ADJ
cana-4166	146	7	encoding	encoding	NOUN
cana-4166	146	8	.	.	PUNCT
cana-4166	147	1	#	#	NOUN
cana-4166	147	2	convert	convert	NOUN
cana-4166	147	3	categories	category	NOUN
cana-4166	147	4	into	into	ADP
cana-4166	147	5	binary	binary	ADJ
cana-4166	147	6	indicators	indicator	NOUN
cana-4166	147	7	.	.	PUNCT
cana-4166	148	1	28	28	NUM
cana-4166	148	2	.	.	X
cana-4166	148	3	end	end	VERB
cana-4166	148	4	for	for	ADP
cana-4166	148	5	29	29	NUM
cana-4166	148	6	.	.	PUNCT
cana-4166	149	1	step	step	NOUN
cana-4166	149	2	8	8	NUM
cana-4166	149	3	.	.	PUNCT
cana-4166	150	1	normalize	normalize	VERB
cana-4166	150	2	features	feature	VERB
cana-4166	150	3	30	30	NUM
cana-4166	150	4	.	.	PUNCT
cana-4166	151	1	normalize	normalize	VERB
cana-4166	151	2	numeric	numeric	ADJ
cana-4166	151	3	features	feature	NOUN
cana-4166	151	4	using	use	VERB
cana-4166	151	5	a	a	DET
cana-4166	151	6	standard	standard	ADJ
cana-4166	151	7	scaler	scaler	NOUN
cana-4166	151	8	to	to	PART
cana-4166	151	9	have	have	VERB
cana-4166	151	10	zero	zero	NUM
cana-4166	151	11	mean	mean	NOUN
cana-4166	151	12	and	and	CCONJ
cana-4166	151	13	unit	unit	NOUN
cana-4166	151	14	variance	variance	NOUN
cana-4166	151	15	.	.	PUNCT
cana-4166	152	1	31	31	NUM
cana-4166	152	2	.	.	PUNCT
cana-4166	153	1	output	output	NOUN
cana-4166	153	2	:	:	PUNCT
cana-4166	153	3	cleaned	clean	VERB
cana-4166	153	4	and	and	CCONJ
cana-4166	153	5	merged	merge	VERB
cana-4166	153	6	dataset	dataset	NOUN
cana-4166	153	7	dcleaned	dcleane	VERB
cana-4166	153	8	.	.	PUNCT
cana-4166	154	1	c	c	X
cana-4166	154	2	)	)	PUNCT
cana-4166	154	3	algorithm	algorithm	NOUN
cana-4166	154	4	for	for	ADP
cana-4166	154	5	combined	combine	VERB
cana-4166	154	6	dataset	dataset	NOUN
cana-4166	154	7	generation	generation	NOUN
cana-4166	154	8	here	here	ADV
cana-4166	154	9	is	be	AUX
cana-4166	154	10	an	an	DET
cana-4166	154	11	algorithm	algorithm	NOUN
cana-4166	154	12	for	for	ADP
cana-4166	154	13	the	the	DET
cana-4166	154	14	data	data	NOUN
cana-4166	154	15	production	production	NOUN
cana-4166	154	16	process	process	NOUN
cana-4166	154	17	that	that	PRON
cana-4166	154	18	can	can	AUX
cana-4166	154	19	manage	manage	VERB
cana-4166	154	20	the	the	DET
cana-4166	154	21	standardizing	standardizing	NOUN
cana-4166	154	22	,	,	PUNCT
cana-4166	154	23	merging	merging	NOUN
cana-4166	154	24	,	,	PUNCT
cana-4166	154	25	and	and	CCONJ
cana-4166	154	26	cleaning	cleaning	NOUN
cana-4166	154	27	procedures	procedure	NOUN
cana-4166	154	28	to	to	PART
cana-4166	154	29	produce	produce	VERB
cana-4166	154	30	a	a	DET
cana-4166	154	31	merged	merge	VERB
cana-4166	154	32	dataset	dataset	NOUN
cana-4166	154	33	from	from	ADP
cana-4166	154	34	two	two	NUM
cana-4166	154	35	data	datum	NOUN
cana-4166	154	36	sources	source	NOUN
cana-4166	154	37	with	with	ADP
cana-4166	154	38	distinct	distinct	ADJ
cana-4166	154	39	structures	structure	NOUN
cana-4166	154	40	.	.	PUNCT
cana-4166	155	1	this	this	PRON
cana-4166	155	2	will	will	AUX
cana-4166	155	3	ensure	ensure	VERB
cana-4166	155	4	the	the	DET
cana-4166	155	5	combined	combine	VERB
cana-4166	155	6	data	datum	NOUN
cana-4166	155	7	is	be	AUX
cana-4166	155	8	ready	ready	ADJ
cana-4166	155	9	to	to	PART
cana-4166	155	10	train	train	VERB
cana-4166	155	11	a	a	DET
cana-4166	155	12	machine	machine	NOUN
cana-4166	155	13	-	-	PUNCT
cana-4166	155	14	learning	learn	VERB
cana-4166	155	15	model	model	NOUN
cana-4166	155	16	.	.	PUNCT
cana-4166	156	1	algorithm	algorithm	NOUN
cana-4166	156	2	2	2	NUM
cana-4166	156	3	combined	combine	VERB
cana-4166	156	4	dataset	dataset	NOUN
cana-4166	156	5	generation	generation	NOUN
cana-4166	156	6	from	from	ADP
cana-4166	156	7	5	5	NUM
cana-4166	156	8	g	g	NOUN
cana-4166	156	9	nidd2023	nidd2023	NOUN
cana-4166	156	10	and	and	CCONJ
cana-4166	156	11	cicddos2019	cicddos2019	PROPN
cana-4166	156	12	1	1	NUM
cana-4166	156	13	.	.	PUNCT
cana-4166	157	1	input	input	NOUN
cana-4166	157	2	:	:	PUNCT
cana-4166	157	3	2	2	X
cana-4166	157	4	.	.	X
cana-4166	157	5	dataset	dataset	VERB
cana-4166	157	6	1	1	NUM
cana-4166	157	7	:	:	PUNCT
cana-4166	157	8	first	first	ADJ
cana-4166	157	9	dataset	dataset	ADJ
cana-4166	157	10	file	file	NOUN
cana-4166	157	11	(	(	PUNCT
cana-4166	157	12	e.g.	e.g.	ADV
cana-4166	157	13	,	,	PUNCT
cana-4166	157	14	5	5	NUM
cana-4166	157	15	g	g	NOUN
cana-4166	157	16	nidd2023	nidd2023	NUM
cana-4166	157	17	)	)	PUNCT
cana-4166	157	18	.	.	PUNCT
cana-4166	158	1	3	3	X
cana-4166	158	2	.	.	X
cana-4166	158	3	dataset2	dataset2	NOUN
cana-4166	158	4	:	:	PUNCT
cana-4166	158	5	second	second	ADJ
cana-4166	158	6	dataset	dataset	NOUN
cana-4166	158	7	file	file	NOUN
cana-4166	158	8	(	(	PUNCT
cana-4166	158	9	e.g.	e.g.	ADV
cana-4166	158	10	,	,	PUNCT
cana-4166	158	11	cicd	cicd	NOUN
cana-4166	158	12	-	-	PUNCT
cana-4166	158	13	dos2019	dos2019	NUM
cana-4166	158	14	)	)	PUNCT
cana-4166	158	15	.	.	PUNCT
cana-4166	159	1	4	4	X
cana-4166	159	2	.	.	X
cana-4166	159	3	output	output	NOUN
cana-4166	159	4	:	:	PUNCT
cana-4166	159	5	5	5	X
cana-4166	159	6	.	.	PUNCT
cana-4166	159	7	combined	combined	ADJ
cana-4166	159	8	dataset	dataset	NOUN
cana-4166	159	9	:	:	PUNCT
cana-4166	159	10	a	a	DET
cana-4166	159	11	single	single	ADJ
cana-4166	159	12	,	,	PUNCT
cana-4166	159	13	clean	clean	ADJ
cana-4166	159	14	data	datum	NOUN
cana-4166	159	15	frame	frame	NOUN
cana-4166	159	16	with	with	ADP
cana-4166	159	17	merged	merged	ADJ
cana-4166	159	18	data	datum	NOUN
cana-4166	159	19	from	from	ADP
cana-4166	159	20	both	both	DET
cana-4166	159	21	sources	source	NOUN
cana-4166	159	22	.	.	PUNCT
cana-4166	160	1	6	6	X
cana-4166	160	2	.	.	X
cana-4166	160	3	procedure	procedure	NOUN
cana-4166	160	4	:	:	PUNCT
cana-4166	160	5	dataset	dataset	NOUN
cana-4166	160	6	generation	generation	NOUN
cana-4166	160	7	7	7	NUM
cana-4166	160	8	.	.	PUNCT
cana-4166	160	9	step	step	NOUN
cana-4166	160	10	1	1	NUM
cana-4166	160	11	.	.	PUNCT
cana-4166	160	12	load	load	NOUN
cana-4166	160	13	dataset	dataset	NOUN
cana-4166	160	14	communications	communication	NOUN
cana-4166	160	15	on	on	ADP
cana-4166	160	16	applied	apply	VERB
cana-4166	160	17	nonlinear	nonlinear	ADJ
cana-4166	160	18	analysis	analysis	NOUN
cana-4166	160	19	issn	issn	NOUN
cana-4166	160	20	:	:	PUNCT
cana-4166	160	21	1074	1074	NUM
cana-4166	160	22	-	-	PUNCT
cana-4166	160	23	133x	133x	NUM
cana-4166	160	24	vol	vol	NOUN
cana-4166	160	25	32	32	NUM
cana-4166	160	26	no	no	NOUN
cana-4166	160	27	.	.	PUNCT
cana-4166	161	1	9s	9s	NUM
cana-4166	161	2	(	(	PUNCT
cana-4166	161	3	2025	2025	NUM
cana-4166	161	4	)	)	PUNCT
cana-4166	161	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	161	6	1415	1415	NUM
cana-4166	161	7	8	8	NUM
cana-4166	161	8	.	.	PUNCT
cana-4166	161	9	load	load	NOUN
cana-4166	161	10	dataset1	dataset1	NOUN
cana-4166	161	11	as	as	ADP
cana-4166	161	12	data1	data1	PROPN
cana-4166	161	13	.	.	PUNCT
cana-4166	162	1	#	#	NOUN
cana-4166	162	2	load	load	VERB
cana-4166	162	3	the	the	DET
cana-4166	162	4	first	first	ADJ
cana-4166	162	5	dataset	dataset	NOUN
cana-4166	162	6	.	.	PUNCT
cana-4166	163	1	9	9	X
cana-4166	163	2	.	.	X
cana-4166	163	3	load	load	NOUN
cana-4166	163	4	dataset2	dataset2	NOUN
cana-4166	163	5	as	as	ADP
cana-4166	163	6	data2	data2	PROPN
cana-4166	163	7	.	.	PUNCT
cana-4166	164	1	#	#	NOUN
cana-4166	164	2	load	load	VERB
cana-4166	164	3	the	the	DET
cana-4166	164	4	second	second	ADJ
cana-4166	164	5	dataset	dataset	NOUN
cana-4166	164	6	.	.	PUNCT
cana-4166	165	1	10	10	NUM
cana-4166	165	2	.	.	X
cana-4166	166	1	step	step	NOUN
cana-4166	166	2	2	2	NUM
cana-4166	166	3	.	.	PUNCT
cana-4166	166	4	standardize	standardize	NOUN
cana-4166	166	5	column	column	NOUN
cana-4166	166	6	na	na	ADP
cana-4166	166	7	11	11	NUM
cana-4166	166	8	.	.	PUNCT
cana-4166	167	1	for	for	SCONJ
cana-4166	167	2	each	each	DET
cana-4166	167	3	dataset	dataset	NOUN
cana-4166	167	4	ddd	ddd	NOUN
cana-4166	167	5	in	in	ADP
cana-4166	167	6	{	{	PUNCT
cana-4166	167	7	data1	data1	PROPN
cana-4166	167	8	,	,	PUNCT
cana-4166	167	9	data2	data2	PROPN
cana-4166	167	10	}	}	PUNCT
cana-4166	167	11	do	do	VERB
cana-4166	167	12	:	:	PUNCT
cana-4166	167	13	#	#	NOUN
cana-4166	167	14	process	process	NOUN
cana-4166	167	15	both	both	DET
cana-4166	167	16	datasets	dataset	NOUN
cana-4166	167	17	.	.	PUNCT
cana-4166	168	1	12	12	NUM
cana-4166	168	2	.	.	PUNCT
cana-4166	169	1	convert	convert	VERB
cana-4166	169	2	all	all	DET
cana-4166	169	3	column	column	NOUN
cana-4166	169	4	names	name	NOUN
cana-4166	169	5	to	to	PART
cana-4166	169	6	lowercase	lowercase	VERB
cana-4166	169	7	.	.	PUNCT
cana-4166	170	1	#	#	NOUN
cana-4166	170	2	ensure	ensure	VERB
cana-4166	170	3	uniformity	uniformity	NOUN
cana-4166	170	4	in	in	ADP
cana-4166	170	5	case	case	NOUN
cana-4166	170	6	.	.	PUNCT
cana-4166	171	1	13	13	NUM
cana-4166	171	2	.	.	X
cana-4166	171	3	remove	remove	VERB
cana-4166	171	4	whitespaces	whitespace	NOUN
cana-4166	171	5	from	from	ADP
cana-4166	171	6	column	column	NOUN
cana-4166	171	7	names	name	NOUN
cana-4166	171	8	.	.	PUNCT
cana-4166	172	1	#	#	NOUN
cana-4166	172	2	clean	clean	ADJ
cana-4166	172	3	column	column	NOUN
cana-4166	172	4	names	name	NOUN
cana-4166	172	5	.	.	PUNCT
cana-4166	173	1	14	14	NUM
cana-4166	173	2	.	.	PUNCT
cana-4166	174	1	step	step	NOUN
cana-4166	174	2	3	3	NUM
cana-4166	174	3	.	.	PUNCT
cana-4166	174	4	label	label	NOUN
cana-4166	174	5	adjustment	adjustment	NOUN
cana-4166	174	6	15	15	NUM
cana-4166	174	7	.	.	PUNCT
cana-4166	174	8	identify	identify	VERB
cana-4166	174	9	the	the	DET
cana-4166	174	10	primary	primary	ADJ
cana-4166	174	11	label	label	NOUN
cana-4166	174	12	column	column	NOUN
cana-4166	174	13	(	(	PUNCT
cana-4166	174	14	e.g.	e.g.	ADV
cana-4166	174	15	,	,	PUNCT
cana-4166	174	16	"	"	PUNCT
cana-4166	174	17	attack	attack	NOUN
cana-4166	174	18	type	type	NOUN
cana-4166	174	19	"	"	PUNCT
cana-4166	174	20	)	)	PUNCT
cana-4166	174	21	.	.	PUNCT
cana-4166	175	1	#	#	NOUN
cana-4166	175	2	detect	detect	VERB
cana-4166	175	3	key	key	ADJ
cana-4166	175	4	label	label	NOUN
cana-4166	175	5	column	column	NOUN
cana-4166	175	6	.	.	PUNCT
cana-4166	176	1	16	16	NUM
cana-4166	176	2	.	.	X
cana-4166	177	1	rename	rename	VERB
cana-4166	177	2	this	this	DET
cana-4166	177	3	column	column	NOUN
cana-4166	177	4	to	to	ADP
cana-4166	177	5	"	"	PUNCT
cana-4166	177	6	label	label	VERB
cana-4166	177	7	"	"	PUNCT
cana-4166	177	8	in	in	ADP
cana-4166	177	9	both	both	DET
cana-4166	177	10	datasets	dataset	NOUN
cana-4166	177	11	.	.	PUNCT
cana-4166	178	1	#	#	NOUN
cana-4166	178	2	rename	rename	NOUN
cana-4166	178	3	for	for	ADP
cana-4166	178	4	consistency	consistency	NOUN
cana-4166	178	5	.	.	PUNCT
cana-4166	179	1	17	17	NUM
cana-4166	179	2	.	.	X
cana-4166	179	3	standardize	standardize	VERB
cana-4166	179	4	label	label	NOUN
cana-4166	179	5	values	value	NOUN
cana-4166	179	6	(	(	PUNCT
cana-4166	179	7	e.g.	e.g.	ADV
cana-4166	179	8	,	,	PUNCT
cana-4166	179	9	replace	replace	VERB
cana-4166	179	10	"	"	PUNCT
cana-4166	179	11	benign	benign	NOUN
cana-4166	179	12	"	"	PUNCT
cana-4166	179	13	with	with	ADP
cana-4166	179	14	"	"	PUNCT
cana-4166	179	15	benign	benign	ADJ
cana-4166	179	16	"	"	PUNCT
cana-4166	179	17	)	)	PUNCT
cana-4166	179	18	.	.	PUNCT
cana-4166	180	1	#	#	NOUN
cana-4166	180	2	harmonize	harmonize	VERB
cana-4166	180	3	label	label	NOUN
cana-4166	180	4	values	value	NOUN
cana-4166	180	5	.	.	PUNCT
cana-4166	181	1	18	18	NUM
cana-4166	181	2	.	.	X
cana-4166	181	3	step	step	NOUN
cana-4166	181	4	4	4	NUM
cana-4166	181	5	.	.	PUNCT
cana-4166	181	6	identify	identify	VERB
cana-4166	181	7	common	common	ADJ
cana-4166	181	8	columns	column	NOUN
cana-4166	181	9	19	19	NUM
cana-4166	181	10	.	.	PUNCT
cana-4166	181	11	identify	identify	VERB
cana-4166	181	12	the	the	DET
cana-4166	181	13	intersection	intersection	NOUN
cana-4166	181	14	of	of	ADP
cana-4166	181	15	column	column	NOUN
cana-4166	181	16	names	name	NOUN
cana-4166	181	17	between	between	ADP
cana-4166	181	18	data1	data1	PROPN
cana-4166	181	19	and	and	CCONJ
cana-4166	181	20	data2	data2	PROPN
cana-4166	181	21	.	.	PUNCT
cana-4166	182	1	#	#	NOUN
cana-4166	182	2	find	find	VERB
cana-4166	182	3	shared	share	VERB
cana-4166	182	4	attributes	attribute	NOUN
cana-4166	182	5	.	.	PUNCT
cana-4166	183	1	20	20	NUM
cana-4166	183	2	.	.	PUNCT
cana-4166	184	1	retain	retain	VERB
cana-4166	184	2	only	only	ADV
cana-4166	184	3	the	the	DET
cana-4166	184	4	common	common	ADJ
cana-4166	184	5	columns	column	NOUN
cana-4166	184	6	in	in	ADP
cana-4166	184	7	both	both	DET
cana-4166	184	8	datasets	dataset	NOUN
cana-4166	184	9	.	.	PUNCT
cana-4166	185	1	#	#	NOUN
cana-4166	185	2	keep	keep	VERB
cana-4166	185	3	shared	share	VERB
cana-4166	185	4	columns	column	NOUN
cana-4166	185	5	.	.	PUNCT
cana-4166	186	1	21	21	NUM
cana-4166	186	2	.	.	X
cana-4166	186	3	step	step	NOUN
cana-4166	186	4	5	5	NUM
cana-4166	186	5	.	.	PUNCT
cana-4166	186	6	concatenate	concatenate	ADJ
cana-4166	186	7	datasets	dataset	NOUN
cana-4166	186	8	22	22	NUM
cana-4166	186	9	.	.	PUNCT
cana-4166	187	1	merge	merge	VERB
cana-4166	187	2	data1	data1	PROPN
cana-4166	187	3	and	and	CCONJ
cana-4166	187	4	data2	data2	PROPN
cana-4166	187	5	along	along	ADP
cana-4166	187	6	rows	row	NOUN
cana-4166	187	7	using	use	VERB
cana-4166	187	8	only	only	ADV
cana-4166	187	9	the	the	DET
cana-4166	187	10	common	common	ADJ
cana-4166	187	11	columns	column	NOUN
cana-4166	187	12	.	.	PUNCT
cana-4166	188	1	#	#	NOUN
cana-4166	188	2	combine	combine	VERB
cana-4166	188	3	datasets	dataset	NOUN
cana-4166	188	4	.	.	PUNCT
cana-4166	189	1	23	23	NUM
cana-4166	189	2	.	.	PUNCT
cana-4166	190	1	store	store	VERB
cana-4166	190	2	the	the	DET
cana-4166	190	3	result	result	NOUN
cana-4166	190	4	as	as	ADP
cana-4166	190	5	combined_data	combined_data	PROPN
cana-4166	190	6	.	.	PUNCT
cana-4166	191	1	#	#	NOUN
cana-4166	191	2	save	save	VERB
cana-4166	191	3	the	the	DET
cana-4166	191	4	merged	merge	VERB
cana-4166	191	5	dataset	dataset	NOUN
cana-4166	191	6	.	.	PUNCT
cana-4166	192	1	24	24	NUM
cana-4166	192	2	.	.	X
cana-4166	192	3	step	step	NOUN
cana-4166	192	4	6	6	NUM
cana-4166	192	5	.	.	PUNCT
cana-4166	193	1	handle	handle	VERB
cana-4166	193	2	missing	miss	VERB
cana-4166	193	3	values	value	NOUN
cana-4166	193	4	25	25	NUM
cana-4166	193	5	.	.	PUNCT
cana-4166	194	1	separate	separate	VERB
cana-4166	194	2	numeric	numeric	ADJ
cana-4166	194	3	and	and	CCONJ
cana-4166	194	4	non	non	ADJ
cana-4166	194	5	-	-	ADJ
cana-4166	194	6	numeric	numeric	ADJ
cana-4166	194	7	columns	column	NOUN
cana-4166	194	8	in	in	ADP
cana-4166	194	9	combined_data	combined_data	PROPN
cana-4166	194	10	.	.	PUNCT
cana-4166	195	1	#	#	NOUN
cana-4166	195	2	distinguish	distinguish	VERB
cana-4166	195	3	data	datum	NOUN
cana-4166	195	4	types	type	NOUN
cana-4166	195	5	.	.	PUNCT
cana-4166	196	1	26	26	NUM
cana-4166	196	2	.	.	X
cana-4166	197	1	for	for	ADP
cana-4166	197	2	numeric	numeric	ADJ
cana-4166	197	3	columns	column	NOUN
cana-4166	197	4	:	:	PUNCT
cana-4166	197	5	fill	fill	VERB
cana-4166	197	6	missing	miss	VERB
cana-4166	197	7	values	value	NOUN
cana-4166	197	8	with	with	ADP
cana-4166	197	9	the	the	DET
cana-4166	197	10	column	column	NOUN
cana-4166	197	11	mean	mean	NOUN
cana-4166	197	12	.	.	PUNCT
cana-4166	198	1	#	#	NOUN
cana-4166	198	2	impute	impute	NOUN
cana-4166	198	3	numeric	numeric	ADJ
cana-4166	198	4	data	datum	NOUN
cana-4166	198	5	.	.	PUNCT
cana-4166	199	1	27	27	NUM
cana-4166	199	2	.	.	X
cana-4166	200	1	for	for	ADP
cana-4166	200	2	non	non	ADJ
cana-4166	200	3	-	-	ADJ
cana-4166	200	4	numeric	numeric	ADJ
cana-4166	200	5	columns	column	NOUN
cana-4166	200	6	:	:	PUNCT
cana-4166	200	7	fill	fill	VERB
cana-4166	200	8	missing	miss	VERB
cana-4166	200	9	values	value	NOUN
cana-4166	200	10	with	with	ADP
cana-4166	200	11	a	a	DET
cana-4166	200	12	placeholder	placeholder	NOUN
cana-4166	200	13	(	(	PUNCT
cana-4166	200	14	e.g.	e.g.	ADV
cana-4166	200	15	,	,	PUNCT
cana-4166	200	16	"	"	PUNCT
cana-4166	200	17	0	0	NUM
cana-4166	200	18	"	"	PUNCT
cana-4166	200	19	)	)	PUNCT
cana-4166	200	20	or	or	CCONJ
cana-4166	200	21	the	the	DET
cana-4166	200	22	mode	mode	NOUN
cana-4166	200	23	.	.	PUNCT
cana-4166	201	1	28	28	NUM
cana-4166	201	2	.	.	PUNCT
cana-4166	202	1	step	step	NOUN
cana-4166	202	2	7	7	NUM
cana-4166	202	3	.	.	PUNCT
cana-4166	202	4	drop	drop	VERB
cana-4166	202	5	irrelevant	irrelevant	ADJ
cana-4166	202	6	columns	column	NOUN
cana-4166	202	7	29	29	NUM
cana-4166	202	8	.	.	PUNCT
cana-4166	203	1	identify	identify	VERB
cana-4166	203	2	irrelevant	irrelevant	ADJ
cana-4166	203	3	columns	column	NOUN
cana-4166	203	4	(	(	PUNCT
cana-4166	203	5	e.g.	e.g.	ADV
cana-4166	203	6	,	,	PUNCT
cana-4166	203	7	"	"	PUNCT
cana-4166	203	8	flow	flow	VERB
cana-4166	203	9	i	i	PROPN
cana-4166	203	10	d	d	NOUN
cana-4166	203	11	"	"	PUNCT
cana-4166	203	12	,	,	PUNCT
cana-4166	203	13	"	"	PUNCT
cana-4166	203	14	ip	ip	DET
cana-4166	203	15	addresses	address	NOUN
cana-4166	203	16	"	"	PUNCT
cana-4166	203	17	)	)	PUNCT
cana-4166	203	18	.	.	PUNCT
cana-4166	204	1	#	#	NOUN
cana-4166	204	2	specify	specify	VERB
cana-4166	204	3	irrelevant	irrelevant	ADJ
cana-4166	204	4	fields	field	NOUN
cana-4166	204	5	.	.	PUNCT
cana-4166	205	1	30	30	NUM
cana-4166	205	2	.	.	PUNCT
cana-4166	206	1	drop	drop	VERB
cana-4166	206	2	these	these	DET
cana-4166	206	3	columns	column	NOUN
cana-4166	206	4	from	from	ADP
cana-4166	206	5	combined_data	combined_data	PROPN
cana-4166	206	6	.	.	PUNCT
cana-4166	207	1	#	#	NOUN
cana-4166	207	2	remove	remove	VERB
cana-4166	207	3	unnecessary	unnecessary	ADJ
cana-4166	207	4	columns	column	NOUN
cana-4166	207	5	.	.	PUNCT
cana-4166	208	1	31	31	NUM
cana-4166	208	2	.	.	PUNCT
cana-4166	209	1	step	step	NOUN
cana-4166	209	2	8	8	NUM
cana-4166	209	3	.	.	PUNCT
cana-4166	210	1	one	one	NUM
cana-4166	210	2	-	-	PUNCT
cana-4166	210	3	hot	hot	ADJ
cana-4166	210	4	encode	encode	ADJ
cana-4166	210	5	categorical	categorical	ADJ
cana-4166	210	6	variables	variable	NOUN
cana-4166	210	7	32	32	NUM
cana-4166	210	8	.	.	PUNCT
cana-4166	210	9	identify	identify	VERB
cana-4166	210	10	remaining	remain	VERB
cana-4166	210	11	non	non	ADJ
cana-4166	210	12	-	-	ADJ
cana-4166	210	13	numeric	numeric	ADJ
cana-4166	210	14	columns	column	NOUN
cana-4166	210	15	.	.	PUNCT
cana-4166	211	1	#	#	NOUN
cana-4166	211	2	locate	locate	ADJ
cana-4166	211	3	categorical	categorical	ADJ
cana-4166	211	4	data	datum	NOUN
cana-4166	211	5	.	.	PUNCT
cana-4166	212	1	33	33	NUM
cana-4166	212	2	.	.	PUNCT
cana-4166	212	3	apply	apply	VERB
cana-4166	212	4	one	one	NUM
cana-4166	212	5	-	-	PUNCT
cana-4166	212	6	hot	hot	ADJ
cana-4166	212	7	encoding	encoding	NOUN
cana-4166	212	8	to	to	ADP
cana-4166	212	9	these	these	DET
cana-4166	212	10	columns	column	NOUN
cana-4166	212	11	.	.	PUNCT
cana-4166	213	1	#	#	NOUN
cana-4166	213	2	convert	convert	NOUN
cana-4166	213	3	to	to	ADP
cana-4166	213	4	binary	binary	ADJ
cana-4166	213	5	indicators	indicator	NOUN
cana-4166	213	6	.	.	PUNCT
cana-4166	214	1	34	34	NUM
cana-4166	214	2	.	.	PUNCT
cana-4166	214	3	step	step	NOUN
cana-4166	214	4	9	9	NUM
cana-4166	214	5	.	.	PUNCT
cana-4166	214	6	standardize	standardize	NOUN
cana-4166	214	7	features	feature	VERB
cana-4166	214	8	35	35	NUM
cana-4166	214	9	.	.	PUNCT
cana-4166	215	1	scale	scale	NOUN
cana-4166	215	2	numeric	numeric	ADJ
cana-4166	215	3	columns	column	NOUN
cana-4166	215	4	in	in	ADP
cana-4166	215	5	combined_data	combined_data	PROPN
cana-4166	215	6	for	for	ADP
cana-4166	215	7	uniformity	uniformity	NOUN
cana-4166	215	8	(	(	PUNCT
cana-4166	215	9	e.g.	e.g.	ADV
cana-4166	215	10	,	,	PUNCT
cana-4166	215	11	using	use	VERB
cana-4166	215	12	a	a	DET
cana-4166	215	13	standard	standard	ADJ
cana-4166	215	14	scaler	scaler	NOUN
cana-4166	215	15	)	)	PUNCT
cana-4166	215	16	.	.	PUNCT
cana-4166	216	1	36	36	NUM
cana-4166	216	2	.	.	X
cana-4166	216	3	step	step	NOUN
cana-4166	216	4	10	10	NUM
cana-4166	216	5	.	.	PUNCT
cana-4166	217	1	final	final	ADJ
cana-4166	217	2	output	output	NOUN
cana-4166	217	3	:	:	PUNCT
cana-4166	217	4	return	return	NOUN
cana-4166	217	5	combined_data	combined_data	VERB
cana-4166	217	6	as	as	ADP
cana-4166	217	7	the	the	DET
cana-4166	217	8	combined	combined	ADJ
cana-4166	217	9	dataset	dataset	NOUN
cana-4166	217	10	.	.	PUNCT
cana-4166	218	1	#	#	NOUN
cana-4166	218	2	output	output	NOUN
cana-4166	218	3	the	the	DET
cana-4166	218	4	final	final	ADJ
cana-4166	218	5	clean	clean	ADJ
cana-4166	218	6	dataset	dataset	NOUN
cana-4166	218	7	.	.	PUNCT
cana-4166	219	1	d	d	X
cana-4166	219	2	)	)	PUNCT
cana-4166	219	3	model	model	NOUN
cana-4166	219	4	building	build	VERB
cana-4166	219	5	the	the	DET
cana-4166	219	6	suggested	suggest	VERB
cana-4166	219	7	ddos	ddos	NOUN
cana-4166	219	8	attack	attack	NOUN
cana-4166	219	9	detection	detection	NOUN
cana-4166	219	10	approach	approach	NOUN
cana-4166	219	11	combines	combine	VERB
cana-4166	219	12	a	a	DET
cana-4166	219	13	bottleneck	bottleneck	NOUN
cana-4166	219	14	attention	attention	NOUN
cana-4166	219	15	mechanism	mechanism	NOUN
cana-4166	219	16	with	with	ADP
cana-4166	219	17	a	a	DET
cana-4166	219	18	quantum	quantum	ADJ
cana-4166	219	19	convolutional	convolutional	ADJ
cana-4166	219	20	neural	neural	ADJ
cana-4166	219	21	network	network	NOUN
cana-4166	219	22	(	(	PUNCT
cana-4166	219	23	qcnn	qcnn	PROPN
cana-4166	219	24	)	)	PUNCT
cana-4166	219	25	.	.	PUNCT
cana-4166	220	1	this	this	DET
cana-4166	220	2	architecture	architecture	NOUN
cana-4166	220	3	emphasizes	emphasize	VERB
cana-4166	220	4	key	key	ADJ
cana-4166	220	5	features	feature	NOUN
cana-4166	220	6	crucial	crucial	ADJ
cana-4166	220	7	to	to	ADP
cana-4166	220	8	the	the	DET
cana-4166	220	9	classification	classification	NOUN
cana-4166	220	10	process	process	NOUN
cana-4166	220	11	while	while	SCONJ
cana-4166	220	12	efficiently	efficiently	ADV
cana-4166	220	13	capturing	capture	VERB
cana-4166	220	14	the	the	DET
cana-4166	220	15	dataset	dataset	NOUN
cana-4166	220	16	's	's	PART
cana-4166	220	17	temporal	temporal	ADJ
cana-4166	220	18	and	and	CCONJ
cana-4166	220	19	geographical	geographical	ADJ
cana-4166	220	20	features	feature	NOUN
cana-4166	220	21	.	.	PUNCT
cana-4166	221	1	a	a	DET
cana-4166	221	2	)	)	PUNCT
cana-4166	221	3	quantum	quantum	ADJ
cana-4166	221	4	convolutional	convolutional	ADJ
cana-4166	221	5	neural	neural	ADJ
cana-4166	221	6	network	network	NOUN
cana-4166	221	7	(	(	PUNCT
cana-4166	221	8	qcnn	qcnn	PROPN
cana-4166	221	9	)	)	PUNCT
cana-4166	221	10	for	for	ADP
cana-4166	221	11	feature	feature	NOUN
cana-4166	221	12	extraction	extraction	NOUN
cana-4166	221	13	the	the	DET
cana-4166	221	14	input	input	NOUN
cana-4166	221	15	data	datum	NOUN
cana-4166	221	16	is	be	AUX
cana-4166	221	17	processed	process	VERB
cana-4166	221	18	by	by	ADP
cana-4166	221	19	several	several	ADJ
cana-4166	221	20	quantum	quantum	ADJ
cana-4166	221	21	convolutional	convolutional	ADJ
cana-4166	221	22	layers	layer	NOUN
cana-4166	221	23	at	at	ADP
cana-4166	221	24	the	the	DET
cana-4166	221	25	start	start	NOUN
cana-4166	221	26	of	of	ADP
cana-4166	221	27	the	the	DET
cana-4166	221	28	model	model	NOUN
cana-4166	221	29	.	.	PUNCT
cana-4166	222	1	compared	compare	VERB
cana-4166	222	2	to	to	ADP
cana-4166	222	3	classical	classical	ADJ
cana-4166	222	4	cnns	cnn	NOUN
cana-4166	222	5	,	,	PUNCT
cana-4166	222	6	these	these	DET
cana-4166	222	7	layers	layer	NOUN
cana-4166	222	8	enable	enable	VERB
cana-4166	222	9	more	more	ADV
cana-4166	222	10	sophisticated	sophisticated	ADJ
cana-4166	222	11	transformations	transformation	NOUN
cana-4166	222	12	by	by	ADP
cana-4166	222	13	utilizing	utilize	VERB
cana-4166	222	14	quantum	quantum	ADJ
cana-4166	222	15	computing	computing	NOUN
cana-4166	222	16	concepts	concept	NOUN
cana-4166	222	17	to	to	PART
cana-4166	222	18	improve	improve	VERB
cana-4166	222	19	feature	feature	NOUN
cana-4166	222	20	extraction	extraction	NOUN
cana-4166	222	21	through	through	ADP
cana-4166	222	22	quantum	quantum	ADJ
cana-4166	222	23	gates	gate	NOUN
cana-4166	222	24	and	and	CCONJ
cana-4166	222	25	measurements	measurement	NOUN
cana-4166	222	26	.	.	PUNCT
cana-4166	223	1	communications	communication	NOUN
cana-4166	223	2	on	on	ADP
cana-4166	223	3	applied	apply	VERB
cana-4166	223	4	nonlinear	nonlinear	ADJ
cana-4166	223	5	analysis	analysis	NOUN
cana-4166	223	6	issn	issn	NOUN
cana-4166	223	7	:	:	PUNCT
cana-4166	223	8	1074	1074	NUM
cana-4166	223	9	-	-	PUNCT
cana-4166	223	10	133x	133x	NUM
cana-4166	223	11	vol	vol	NOUN
cana-4166	223	12	32	32	NUM
cana-4166	223	13	no	no	NOUN
cana-4166	223	14	.	.	PUNCT
cana-4166	224	1	9s	9s	NUM
cana-4166	224	2	(	(	PUNCT
cana-4166	224	3	2025	2025	NUM
cana-4166	224	4	)	)	PUNCT
cana-4166	224	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	224	6	1416	1416	NUM
cana-4166	224	7	to	to	PART
cana-4166	224	8	preserve	preserve	VERB
cana-4166	224	9	the	the	DET
cana-4166	224	10	quantum	quantum	ADJ
cana-4166	224	11	nature	nature	NOUN
cana-4166	224	12	of	of	ADP
cana-4166	224	13	the	the	DET
cana-4166	224	14	data	datum	NOUN
cana-4166	224	15	,	,	PUNCT
cana-4166	224	16	each	each	DET
cana-4166	224	17	qcnn	qcnn	NOUN
cana-4166	224	18	layer	layer	NOUN
cana-4166	224	19	processes	process	VERB
cana-4166	224	20	the	the	DET
cana-4166	224	21	input	input	NOUN
cana-4166	224	22	features	feature	VERB
cana-4166	224	23	through	through	ADP
cana-4166	224	24	convolution	convolution	NOUN
cana-4166	224	25	operations	operation	NOUN
cana-4166	224	26	.	.	PUNCT
cana-4166	225	1	the	the	DET
cana-4166	225	2	objective	objective	NOUN
cana-4166	225	3	is	be	AUX
cana-4166	225	4	to	to	PART
cana-4166	225	5	extract	extract	VERB
cana-4166	225	6	patterns	pattern	NOUN
cana-4166	225	7	and	and	CCONJ
cana-4166	225	8	spatial	spatial	ADJ
cana-4166	225	9	hierarchies	hierarchy	NOUN
cana-4166	225	10	essential	essential	ADJ
cana-4166	225	11	for	for	ADP
cana-4166	225	12	identifying	identify	VERB
cana-4166	225	13	patterns	pattern	NOUN
cana-4166	225	14	in	in	ADP
cana-4166	225	15	ddos	ddo	NOUN
cana-4166	225	16	attacks[24	attacks[24	NOUN
cana-4166	225	17	]	]	PUNCT
cana-4166	225	18	.	.	PUNCT
cana-4166	226	1	the	the	DET
cana-4166	226	2	architecture	architecture	NOUN
cana-4166	226	3	makes	make	VERB
cana-4166	226	4	use	use	NOUN
cana-4166	226	5	of	of	ADP
cana-4166	226	6	:	:	PUNCT
cana-4166	226	7	1	1	X
cana-4166	226	8	.	.	X
cana-4166	226	9	using	use	VERB
cana-4166	226	10	a	a	DET
cana-4166	226	11	relu	relu	NOUN
cana-4166	226	12	activation	activation	NOUN
cana-4166	226	13	function	function	NOUN
cana-4166	226	14	,	,	PUNCT
cana-4166	226	15	convolutional	convolutional	ADJ
cana-4166	226	16	layers	layer	NOUN
cana-4166	226	17	with	with	ADP
cana-4166	226	18	32	32	NUM
cana-4166	226	19	and	and	CCONJ
cana-4166	226	20	64	64	NUM
cana-4166	226	21	filters	filter	NOUN
cana-4166	226	22	are	be	AUX
cana-4166	226	23	intended	intend	VERB
cana-4166	226	24	to	to	PART
cana-4166	226	25	extract	extract	VERB
cana-4166	226	26	spatial	spatial	ADJ
cana-4166	226	27	characteristics	characteristic	NOUN
cana-4166	226	28	.	.	PUNCT
cana-4166	227	1	2	2	X
cana-4166	227	2	.	.	X
cana-4166	227	3	max	max	PROPN
cana-4166	227	4	-	-	PUNCT
cana-4166	227	5	pooling	pool	VERB
cana-4166	227	6	layers	layer	NOUN
cana-4166	227	7	let	let	VERB
cana-4166	227	8	the	the	DET
cana-4166	227	9	model	model	NOUN
cana-4166	227	10	concentrate	concentrate	VERB
cana-4166	227	11	on	on	ADP
cana-4166	227	12	the	the	DET
cana-4166	227	13	most	most	ADV
cana-4166	227	14	important	important	ADJ
cana-4166	227	15	features	feature	NOUN
cana-4166	227	16	by	by	ADP
cana-4166	227	17	lowering	lower	VERB
cana-4166	227	18	the	the	DET
cana-4166	227	19	computational	computational	ADJ
cana-4166	227	20	demands	demand	NOUN
cana-4166	227	21	and	and	CCONJ
cana-4166	227	22	feature	feature	NOUN
cana-4166	227	23	space	space	NOUN
cana-4166	227	24	dimensionality	dimensionality	NOUN
cana-4166	227	25	.	.	PUNCT
cana-4166	228	1	3	3	X
cana-4166	228	2	.	.	X
cana-4166	228	3	a	a	DET
cana-4166	228	4	softmax	softmax	NOUN
cana-4166	228	5	layer	layer	NOUN
cana-4166	228	6	is	be	AUX
cana-4166	228	7	used	use	VERB
cana-4166	228	8	for	for	ADP
cana-4166	228	9	final	final	ADJ
cana-4166	228	10	classification	classification	NOUN
cana-4166	228	11	into	into	ADP
cana-4166	228	12	discrete	discrete	ADJ
cana-4166	228	13	assault	assault	NOUN
cana-4166	228	14	types	type	NOUN
cana-4166	228	15	after	after	ADP
cana-4166	228	16	dense	dense	ADJ
cana-4166	228	17	layers	layer	NOUN
cana-4166	228	18	with	with	ADP
cana-4166	228	19	relu	relu	NOUN
cana-4166	228	20	activation	activation	NOUN
cana-4166	228	21	1986	1986	NUM
cana-4166	228	22	is	be	AUX
cana-4166	228	23	given	give	VERB
cana-4166	228	24	by	by	ADP
cana-4166	228	25	:	:	PUNCT
cana-4166	228	26	𝑌𝑗,𝑘	𝑌𝑗,𝑘	PROPN
cana-4166	228	27	=	=	PUNCT
cana-4166	229	1	∑	∑	PUNCT
cana-4166	229	2	∑	∑	PUNCT
cana-4166	229	3	𝑋𝑖=𝑚,𝑗+𝑛.	𝑋𝑖=𝑚,𝑗+𝑛.	PROPN
cana-4166	229	4	𝐾𝑚,𝑛	𝐾𝑚,𝑛	PROPN
cana-4166	229	5	𝑁	𝑁	PROPN
cana-4166	229	6	𝑛=−𝑁	𝑛=−𝑁	NUM
cana-4166	229	7	𝑀	𝑀	PROPN
cana-4166	229	8	𝑚=−𝑀	𝑚=−𝑀	NUM
cana-4166	229	9	where	where	SCONJ
cana-4166	229	10	,	,	PUNCT
cana-4166	229	11	•	•	PROPN
cana-4166	229	12	𝑌𝑗,𝑘	𝑌𝑗,𝑘	PROPN
cana-4166	229	13	is	be	AUX
cana-4166	229	14	the	the	DET
cana-4166	229	15	output	output	NOUN
cana-4166	229	16	feature	feature	NOUN
cana-4166	229	17	map	map	NOUN
cana-4166	229	18	at	at	ADP
cana-4166	229	19	position	position	NOUN
cana-4166	229	20	(	(	PUNCT
cana-4166	229	21	j	j	PROPN
cana-4166	229	22	,	,	PUNCT
cana-4166	229	23	k	k	PROPN
cana-4166	229	24	)	)	PUNCT
cana-4166	229	25	?	?	PUNCT
cana-4166	230	1	•	•	NOUN
cana-4166	230	2	xi	xi	PROPN
cana-4166	230	3	,	,	PUNCT
cana-4166	230	4	j	j	PROPN
cana-4166	230	5	is	be	AUX
cana-4166	230	6	the	the	DET
cana-4166	230	7	input	input	NOUN
cana-4166	230	8	feature	feature	NOUN
cana-4166	230	9	map	map	NOUN
cana-4166	230	10	.	.	PUNCT
cana-4166	231	1	•	•	NUM
cana-4166	231	2	km	km	PROPN
cana-4166	231	3	,	,	PUNCT
cana-4166	231	4	n	n	X
cana-4166	231	5	is	be	AUX
cana-4166	231	6	the	the	DET
cana-4166	231	7	convolutional	convolutional	ADJ
cana-4166	231	8	kernel	kernel	NOUN
cana-4166	231	9	of	of	ADP
cana-4166	231	10	size	size	NOUN
cana-4166	231	11	(	(	PUNCT
cana-4166	231	12	2m+1	2m+1	PROPN
cana-4166	231	13	)	)	PUNCT
cana-4166	231	14	×(2n+1	×(2n+1	NOUN
cana-4166	231	15	)	)	PUNCT
cana-4166	231	16	.	.	PUNCT
cana-4166	232	1	b	b	X
cana-4166	232	2	)	)	PUNCT
cana-4166	232	3	bottleneck	bottleneck	NOUN
cana-4166	232	4	attention	attention	NOUN
cana-4166	232	5	mechanism	mechanism	NOUN
cana-4166	232	6	for	for	ADP
cana-4166	232	7	reducing	reduce	VERB
cana-4166	232	8	computational	computational	ADJ
cana-4166	232	9	complexity	complexity	NOUN
cana-4166	232	10	a	a	DET
cana-4166	232	11	bottleneck	bottleneck	NOUN
cana-4166	232	12	attention	attention	NOUN
cana-4166	232	13	mechanism	mechanism	NOUN
cana-4166	232	14	is	be	AUX
cana-4166	232	15	added	add	VERB
cana-4166	232	16	after	after	ADP
cana-4166	232	17	the	the	DET
cana-4166	232	18	qcnn	qcnn	PROPN
cana-4166	232	19	layers	layer	NOUN
cana-4166	232	20	.	.	PUNCT
cana-4166	233	1	this	this	DET
cana-4166	233	2	approach	approach	NOUN
cana-4166	233	3	seeks	seek	VERB
cana-4166	233	4	to	to	PART
cana-4166	233	5	reduce	reduce	VERB
cana-4166	233	6	computational	computational	ADJ
cana-4166	233	7	complexity	complexity	NOUN
cana-4166	233	8	while	while	SCONJ
cana-4166	233	9	concentrating	concentrate	VERB
cana-4166	233	10	the	the	DET
cana-4166	233	11	model	model	NOUN
cana-4166	233	12	's	's	PART
cana-4166	233	13	capacity	capacity	NOUN
cana-4166	233	14	on	on	ADP
cana-4166	233	15	the	the	DET
cana-4166	233	16	most	most	ADV
cana-4166	233	17	informative	informative	ADJ
cana-4166	233	18	aspects	aspect	NOUN
cana-4166	233	19	.	.	PUNCT
cana-4166	234	1	the	the	DET
cana-4166	234	2	process	process	NOUN
cana-4166	234	3	uses	use	VERB
cana-4166	234	4	the	the	DET
cana-4166	234	5	qcnn	qcnn	PROPN
cana-4166	234	6	layers	layer	NOUN
cana-4166	234	7	'	'	PART
cana-4166	234	8	output	output	NOUN
cana-4166	234	9	to	to	PART
cana-4166	234	10	determine	determine	VERB
cana-4166	234	11	attention	attention	NOUN
cana-4166	234	12	scores	score	NOUN
cana-4166	234	13	.	.	PUNCT
cana-4166	235	1	by	by	ADP
cana-4166	235	2	learning	learn	VERB
cana-4166	235	3	a	a	DET
cana-4166	235	4	weighted	weight	VERB
cana-4166	235	5	representation	representation	NOUN
cana-4166	235	6	,	,	PUNCT
cana-4166	235	7	these	these	DET
cana-4166	235	8	scores	score	NOUN
cana-4166	235	9	establish	establish	VERB
cana-4166	235	10	the	the	DET
cana-4166	235	11	significance	significance	NOUN
cana-4166	235	12	of	of	ADP
cana-4166	235	13	every	every	DET
cana-4166	235	14	attribute	attribute	NOUN
cana-4166	235	15	.	.	PUNCT
cana-4166	236	1	the	the	DET
cana-4166	236	2	qcnn	qcnn	PROPN
cana-4166	236	3	's	's	PART
cana-4166	236	4	output	output	NOUN
cana-4166	236	5	characteristics	characteristic	NOUN
cana-4166	236	6	are	be	AUX
cana-4166	236	7	scaled	scale	VERB
cana-4166	236	8	based	base	VERB
cana-4166	236	9	on	on	ADP
cana-4166	236	10	their	their	PRON
cana-4166	236	11	attention	attention	NOUN
cana-4166	236	12	scores	score	NOUN
cana-4166	236	13	.	.	PUNCT
cana-4166	237	1	the	the	DET
cana-4166	237	2	model	model	NOUN
cana-4166	237	3	can	can	AUX
cana-4166	237	4	prioritize	prioritize	VERB
cana-4166	237	5	essential	essential	ADJ
cana-4166	237	6	features	feature	NOUN
cana-4166	237	7	for	for	ADP
cana-4166	237	8	differentiating	differentiate	VERB
cana-4166	237	9	between	between	ADP
cana-4166	237	10	malicious	malicious	ADJ
cana-4166	237	11	and	and	CCONJ
cana-4166	237	12	benign	benign	ADJ
cana-4166	237	13	traffic	traffic	NOUN
cana-4166	237	14	thanks	thank	NOUN
cana-4166	237	15	to	to	ADP
cana-4166	237	16	this	this	DET
cana-4166	237	17	scaling	scaling	ADJ
cana-4166	237	18	process[25	process[25	NOUN
cana-4166	237	19	]	]	PUNCT
cana-4166	237	20	.	.	PUNCT
cana-4166	238	1	c	c	X
cana-4166	238	2	)	)	PUNCT
cana-4166	238	3	algorithm	algorithm	NOUN
cana-4166	238	4	for	for	ADP
cana-4166	238	5	qcnn	qcnn	PROPN
cana-4166	238	6	with	with	ADP
cana-4166	238	7	qcnn	qcnn	PROPN
cana-4166	238	8	and	and	CCONJ
cana-4166	238	9	bottleneck	bottleneck	VERB
cana-4166	238	10	attention	attention	NOUN
cana-4166	238	11	mechanism	mechanism	NOUN
cana-4166	238	12	.	.	PUNCT
cana-4166	239	1	algorithm	algorithm	NOUN
cana-4166	239	2	3	3	NUM
cana-4166	239	3	ddos	ddo	NOUN
cana-4166	239	4	attack	attack	NOUN
cana-4166	239	5	detection	detection	NOUN
cana-4166	239	6	using	use	VERB
cana-4166	239	7	qcnn	qcnn	PROPN
cana-4166	239	8	and	and	CCONJ
cana-4166	239	9	bottleneck	bottleneck	VERB
cana-4166	239	10	attention	attention	NOUN
cana-4166	239	11	mechanism	mechanism	NOUN
cana-4166	239	12	1	1	NUM
cana-4166	239	13	.	.	PUNCT
cana-4166	239	14	require	require	VERB
cana-4166	239	15	input	input	NOUN
cana-4166	239	16	data	datum	NOUN
cana-4166	239	17	xxx	xxx	NOUN
cana-4166	239	18	.	.	PUNCT
cana-4166	240	1	2	2	X
cana-4166	240	2	.	.	X
cana-4166	240	3	ensure	ensure	VERB
cana-4166	240	4	:	:	PUNCT
cana-4166	240	5	classification	classification	NOUN
cana-4166	240	6	result	result	NOUN
cana-4166	240	7	yyy	yyy	PROPN
cana-4166	240	8	.	.	PUNCT
cana-4166	241	1	3	3	X
cana-4166	241	2	.	.	X
cana-4166	241	3	step	step	NOUN
cana-4166	241	4	1	1	NUM
cana-4166	241	5	.	.	PUNCT
cana-4166	242	1	qcnn	qcnn	PROPN
cana-4166	242	2	layer	layer	NOUN
cana-4166	242	3	processing	process	VERB
cana-4166	242	4	4	4	NUM
cana-4166	242	5	.	.	PUNCT
cana-4166	243	1	for	for	ADP
cana-4166	243	2	each	each	DET
cana-4166	243	3	input	input	NOUN
cana-4166	243	4	sample	sample	NOUN
cana-4166	243	5	x	x	PUNCT
cana-4166	243	6	in	in	ADP
cana-4166	243	7	x	x	NOUN
cana-4166	243	8	#	#	NOUN
cana-4166	243	9	process	process	NOUN
cana-4166	243	10	each	each	DET
cana-4166	243	11	input	input	NOUN
cana-4166	243	12	sample	sample	NOUN
cana-4166	243	13	.	.	PUNCT
cana-4166	244	1	5	5	X
cana-4166	244	2	.	.	X
cana-4166	244	3	for	for	ADP
cana-4166	244	4	each	each	DET
cana-4166	244	5	qcnn	qcnn	ADJ
cana-4166	244	6	layer	layer	NOUN
cana-4166	244	7	in	in	ADP
cana-4166	244	8	the	the	DET
cana-4166	244	9	model	model	NOUN
cana-4166	244	10	:	:	PUNCT
cana-4166	244	11	#	#	NOUN
cana-4166	244	12	process	process	NOUN
cana-4166	244	13	through	through	ADP
cana-4166	244	14	qcnn	qcnn	PROPN
cana-4166	244	15	layers	layer	NOUN
cana-4166	244	16	.	.	PUNCT
cana-4166	245	1	6	6	X
cana-4166	245	2	.	.	X
cana-4166	245	3	apply	apply	VERB
cana-4166	245	4	quantum	quantum	NOUN
cana-4166	245	5	convolution	convolution	NOUN
cana-4166	245	6	operation	operation	NOUN
cana-4166	245	7	:	:	PUNCT
cana-4166	245	8	𝑌(𝑗,𝑘	𝑌(𝑗,𝑘	X
cana-4166	245	9	)	)	PUNCT
cana-4166	245	10	=	=	PUNCT
cana-4166	246	1	∑	∑	PUNCT
cana-4166	246	2	∑	∑	PUNCT
cana-4166	246	3	𝑥(𝑖+𝑚,𝑗+𝑛	𝑥(𝑖+𝑚,𝑗+𝑛	ADV
cana-4166	246	4	)	)	PUNCT
cana-4166	247	1	𝑁	𝑁	PROPN
cana-4166	247	2	𝑛=−𝑁	𝑛=−𝑁	NUM
cana-4166	247	3	𝑀	𝑀	PROPN
cana-4166	247	4	𝑚=−𝑀	𝑚=−𝑀	NUM
cana-4166	247	5	𝐾(𝑚,𝑛	𝐾(𝑚,𝑛	NOUN
cana-4166	247	6	)	)	PUNCT
cana-4166	247	7	7	7	NUM
cana-4166	247	8	.	.	X
cana-4166	247	9	apply	apply	VERB
cana-4166	247	10	the	the	DET
cana-4166	247	11	relu	relu	NOUN
cana-4166	247	12	activation	activation	NOUN
cana-4166	247	13	function	function	NOUN
cana-4166	247	14	:	:	PUNCT
cana-4166	247	15	y(j	y(j	NOUN
cana-4166	247	16	,	,	PUNCT
cana-4166	247	17	k)=max	k)=max	PROPN
cana-4166	247	18	(	(	PUNCT
cana-4166	247	19	0,y(j	0,y(j	NOUN
cana-4166	247	20	,	,	PUNCT
cana-4166	247	21	k	k	NOUN
cana-4166	247	22	)	)	PUNCT
cana-4166	247	23	)	)	PUNCT
cana-4166	247	24	#	#	NOUN
cana-4166	247	25	activate	activate	VERB
cana-4166	247	26	using	use	VERB
cana-4166	247	27	relu	relu	NOUN
cana-4166	247	28	.	.	PUNCT
cana-4166	248	1	8	8	X
cana-4166	248	2	.	.	X
cana-4166	248	3	end	end	VERB
cana-4166	248	4	for	for	ADP
cana-4166	248	5	.	.	PUNCT
cana-4166	249	1	#	#	NOUN
cana-4166	249	2	end	end	NOUN
cana-4166	249	3	layer	layer	NOUN
cana-4166	249	4	processing	processing	NOUN
cana-4166	249	5	.	.	PUNCT
cana-4166	250	1	communications	communication	NOUN
cana-4166	250	2	on	on	ADP
cana-4166	250	3	applied	apply	VERB
cana-4166	250	4	nonlinear	nonlinear	ADJ
cana-4166	250	5	analysis	analysis	NOUN
cana-4166	250	6	issn	issn	NOUN
cana-4166	250	7	:	:	PUNCT
cana-4166	250	8	1074	1074	NUM
cana-4166	250	9	-	-	PUNCT
cana-4166	250	10	133x	133x	NUM
cana-4166	250	11	vol	vol	NOUN
cana-4166	250	12	32	32	NUM
cana-4166	250	13	no	no	NOUN
cana-4166	250	14	.	.	PUNCT
cana-4166	251	1	9s	9s	NUM
cana-4166	251	2	(	(	PUNCT
cana-4166	251	3	2025	2025	NUM
cana-4166	251	4	)	)	PUNCT
cana-4166	252	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	252	2	1417	1417	NUM
cana-4166	252	3	9	9	NUM
cana-4166	252	4	.	.	PUNCT
cana-4166	252	5	end	end	NOUN
cana-4166	252	6	for	for	ADP
cana-4166	252	7	.	.	PUNCT
cana-4166	253	1	#	#	NOUN
cana-4166	253	2	end	end	NOUN
cana-4166	253	3	sample	sample	NOUN
cana-4166	253	4	processing	processing	NOUN
cana-4166	253	5	.	.	PUNCT
cana-4166	254	1	10	10	NUM
cana-4166	254	2	.	.	X
cana-4166	254	3	step	step	NOUN
cana-4166	254	4	2	2	NUM
cana-4166	254	5	.	.	PUNCT
cana-4166	254	6	max	max	PROPN
cana-4166	254	7	-	-	PUNCT
cana-4166	254	8	pooling	pool	VERB
cana-4166	254	9	11	11	NUM
cana-4166	254	10	.	.	PUNCT
cana-4166	255	1	for	for	ADP
cana-4166	255	2	each	each	DET
cana-4166	255	3	output	output	NOUN
cana-4166	255	4	from	from	ADP
cana-4166	255	5	qcnn	qcnn	PROPN
cana-4166	255	6	layers	layer	NOUN
cana-4166	255	7	:	:	PUNCT
cana-4166	255	8	#	#	NOUN
cana-4166	255	9	process	process	NOUN
cana-4166	255	10	outputs	output	NOUN
cana-4166	255	11	from	from	ADP
cana-4166	255	12	qcnn	qcnn	PROPN
cana-4166	255	13	.	.	PUNCT
cana-4166	256	1	12	12	NUM
cana-4166	256	2	.	.	PUNCT
cana-4166	256	3	apply	apply	VERB
cana-4166	256	4	max	max	PROPN
cana-4166	256	5	-	-	PUNCT
cana-4166	256	6	pooling	pooling	NOUN
cana-4166	256	7	to	to	PART
cana-4166	256	8	reduce	reduce	VERB
cana-4166	256	9	dimensionality	dimensionality	NOUN
cana-4166	256	10	.	.	PUNCT
cana-4166	257	1	#	#	NOUN
cana-4166	257	2	down	down	ADP
cana-4166	257	3	sample	sample	NOUN
cana-4166	257	4	the	the	DET
cana-4166	257	5	feature	feature	NOUN
cana-4166	257	6	maps	map	NOUN
cana-4166	257	7	.	.	PUNCT
cana-4166	258	1	13	13	NUM
cana-4166	258	2	.	.	X
cana-4166	258	3	end	end	VERB
cana-4166	258	4	for	for	ADP
cana-4166	258	5	.	.	PUNCT
cana-4166	259	1	#	#	NOUN
cana-4166	259	2	end	end	NOUN
cana-4166	259	3	pooling	pool	VERB
cana-4166	259	4	operation	operation	NOUN
cana-4166	259	5	.	.	PUNCT
cana-4166	260	1	14	14	NUM
cana-4166	260	2	.	.	PUNCT
cana-4166	261	1	step	step	NOUN
cana-4166	261	2	3	3	NUM
cana-4166	261	3	.	.	PUNCT
cana-4166	262	1	dense	dense	ADJ
cana-4166	262	2	layers	layer	NOUN
cana-4166	262	3	15	15	NUM
cana-4166	262	4	.	.	PUNCT
cana-4166	262	5	flatten	flatten	VERB
cana-4166	262	6	the	the	DET
cana-4166	262	7	pooled	pooled	ADJ
cana-4166	262	8	feature	feature	NOUN
cana-4166	262	9	map	map	NOUN
cana-4166	262	10	.	.	PUNCT
cana-4166	263	1	#	#	NOUN
cana-4166	263	2	prepare	prepare	VERB
cana-4166	263	3	data	datum	NOUN
cana-4166	263	4	for	for	ADP
cana-4166	263	5	dense	dense	ADJ
cana-4166	263	6	layers	layer	NOUN
cana-4166	263	7	.	.	PUNCT
cana-4166	264	1	16	16	NUM
cana-4166	264	2	.	.	PUNCT
cana-4166	265	1	for	for	ADP
cana-4166	265	2	each	each	DET
cana-4166	265	3	dense	dense	ADJ
cana-4166	265	4	layer	layer	NOUN
cana-4166	265	5	in	in	ADP
cana-4166	265	6	the	the	DET
cana-4166	265	7	model	model	NOUN
cana-4166	265	8	:	:	PUNCT
cana-4166	265	9	#	#	NOUN
cana-4166	265	10	process	process	NOUN
cana-4166	265	11	through	through	ADP
cana-4166	265	12	dense	dense	ADJ
cana-4166	265	13	layers	layer	NOUN
cana-4166	265	14	.	.	PUNCT
cana-4166	266	1	17	17	NUM
cana-4166	266	2	.	.	X
cana-4166	266	3	apply	apply	VERB
cana-4166	266	4	dense	dense	ADJ
cana-4166	266	5	layer	layer	NOUN
cana-4166	266	6	with	with	ADP
cana-4166	266	7	relu	relu	NOUN
cana-4166	266	8	activation	activation	NOUN
cana-4166	266	9	:	:	PUNCT
cana-4166	266	10	y	y	NOUN
cana-4166	266	11	=	=	PRON
cana-4166	266	12	max(0,dense	max(0,dense	NOUN
cana-4166	266	13	layer(y	layer(y	ADJ
cana-4166	266	14	)	)	PUNCT
cana-4166	266	15	)	)	PUNCT
cana-4166	266	16	#	#	NOUN
cana-4166	266	17	apply	apply	VERB
cana-4166	266	18	relu	relu	NOUN
cana-4166	266	19	activation	activation	NOUN
cana-4166	266	20	.	.	PUNCT
cana-4166	267	1	18	18	NUM
cana-4166	267	2	.	.	X
cana-4166	267	3	end	end	VERB
cana-4166	267	4	for	for	ADP
cana-4166	267	5	.	.	PUNCT
cana-4166	268	1	#	#	NOUN
cana-4166	268	2	end	end	VERB
cana-4166	268	3	dense	dense	ADJ
cana-4166	268	4	layer	layer	NOUN
cana-4166	268	5	processing	processing	NOUN
cana-4166	268	6	.	.	PUNCT
cana-4166	269	1	19	19	NUM
cana-4166	269	2	.	.	X
cana-4166	269	3	step	step	NOUN
cana-4166	269	4	4	4	NUM
cana-4166	269	5	.	.	PUNCT
cana-4166	269	6	softmax	softmax	NOUN
cana-4166	269	7	classification	classification	NOUN
cana-4166	269	8	20	20	NUM
cana-4166	269	9	.	.	PUNCT
cana-4166	269	10	apply	apply	VERB
cana-4166	269	11	softmax	softmax	NOUN
cana-4166	269	12	layer	layer	NOUN
cana-4166	269	13	to	to	PART
cana-4166	269	14	output	output	VERB
cana-4166	269	15	for	for	ADP
cana-4166	269	16	discrete	discrete	ADJ
cana-4166	269	17	attack	attack	NOUN
cana-4166	269	18	types	type	NOUN
cana-4166	269	19	:	:	PUNCT
cana-4166	270	1	y	y	X
cana-4166	270	2	=	=	NOUN
cana-4166	270	3	softmax	softmax	X
cana-4166	270	4	(	(	PUNCT
cana-4166	270	5	y	y	NOUN
cana-4166	270	6	)	)	PUNCT
cana-4166	270	7	21	21	NUM
cana-4166	270	8	.	.	PUNCT
cana-4166	271	1	step	step	NOUN
cana-4166	271	2	5	5	NUM
cana-4166	271	3	.	.	PUNCT
cana-4166	271	4	bottleneck	bottleneck	NOUN
cana-4166	271	5	attention	attention	NOUN
cana-4166	271	6	mechanism	mechanism	NOUN
cana-4166	271	7	22	22	NUM
cana-4166	271	8	.	.	PUNCT
cana-4166	271	9	calculate	calculate	VERB
cana-4166	271	10	attention	attention	NOUN
cana-4166	271	11	scores	score	NOUN
cana-4166	271	12	from	from	ADP
cana-4166	271	13	qcnn	qcnn	PROPN
cana-4166	271	14	output	output	NOUN
cana-4166	271	15	.	.	PUNCT
cana-4166	272	1	#	#	NOUN
cana-4166	272	2	derive	derive	ADJ
cana-4166	272	3	attention	attention	NOUN
cana-4166	272	4	weights	weight	NOUN
cana-4166	272	5	.	.	PUNCT
cana-4166	273	1	23	23	NUM
cana-4166	273	2	.	.	PUNCT
cana-4166	274	1	scale	scale	NOUN
cana-4166	274	2	features	feature	NOUN
cana-4166	274	3	based	base	VERB
cana-4166	274	4	on	on	ADP
cana-4166	274	5	attention	attention	NOUN
cana-4166	274	6	scores	score	NOUN
cana-4166	274	7	.	.	PUNCT
cana-4166	275	1	#	#	NOUN
cana-4166	275	2	emphasize	emphasize	VERB
cana-4166	275	3	significant	significant	ADJ
cana-4166	275	4	features	feature	NOUN
cana-4166	275	5	.	.	PUNCT
cana-4166	276	1	24	24	NUM
cana-4166	276	2	.	.	PUNCT
cana-4166	276	3	prioritize	prioritize	VERB
cana-4166	276	4	significant	significant	ADJ
cana-4166	276	5	features	feature	NOUN
cana-4166	276	6	for	for	ADP
cana-4166	276	7	classification	classification	NOUN
cana-4166	276	8	.	.	PUNCT
cana-4166	277	1	#	#	NOUN
cana-4166	277	2	focus	focus	NOUN
cana-4166	277	3	on	on	ADP
cana-4166	277	4	key	key	ADJ
cana-4166	277	5	attributes	attribute	NOUN
cana-4166	277	6	.	.	PUNCT
cana-4166	278	1	25	25	NUM
cana-4166	278	2	.	.	X
cana-4166	278	3	step	step	NOUN
cana-4166	278	4	6	6	NUM
cana-4166	278	5	.	.	PUNCT
cana-4166	278	6	final	final	ADJ
cana-4166	278	7	output	output	NOUN
cana-4166	278	8	26	26	NUM
cana-4166	278	9	.	.	PUNCT
cana-4166	279	1	return	return	VERB
cana-4166	279	2	y	y	PROPN
cana-4166	279	3	(	(	PUNCT
cana-4166	279	4	classification	classification	NOUN
cana-4166	279	5	)	)	PUNCT
cana-4166	279	6	.	.	PUNCT
cana-4166	280	1	#	#	NOUN
cana-4166	280	2	output	output	NOUN
cana-4166	280	3	the	the	DET
cana-4166	280	4	final	final	ADJ
cana-4166	280	5	prediction	prediction	NOUN
cana-4166	280	6	.	.	PUNCT
cana-4166	281	1	d.	d.	NOUN
cana-4166	281	2	performance	performance	NOUN
cana-4166	281	3	metrics	metric	NOUN
cana-4166	281	4	accuracy	accuracy	NOUN
cana-4166	281	5	:	:	PUNCT
cana-4166	281	6	the	the	DET
cana-4166	281	7	simplest	simple	ADJ
cana-4166	281	8	way	way	NOUN
cana-4166	281	9	to	to	PART
cana-4166	281	10	measure	measure	VERB
cana-4166	281	11	how	how	SCONJ
cana-4166	281	12	often	often	ADV
cana-4166	281	13	the	the	DET
cana-4166	281	14	classifier	classifier	NOUN
cana-4166	281	15	makes	make	VERB
cana-4166	281	16	correct	correct	ADJ
cana-4166	281	17	predictions	prediction	NOUN
cana-4166	281	18	is	be	AUX
cana-4166	281	19	by	by	ADP
cana-4166	281	20	using	use	VERB
cana-4166	281	21	accuracy	accuracy	NOUN
cana-4166	281	22	.	.	PUNCT
cana-4166	282	1	this	this	PRON
cana-4166	282	2	might	might	AUX
cana-4166	282	3	instead	instead	ADV
cana-4166	282	4	be	be	AUX
cana-4166	282	5	interpreted	interpret	VERB
cana-4166	282	6	as	as	SCONJ
cana-4166	282	7	the	the	DET
cana-4166	282	8	proportion	proportion	NOUN
cana-4166	282	9	of	of	ADP
cana-4166	282	10	all	all	PRON
cana-4166	282	11	correctly	correctly	ADV
cana-4166	282	12	predicted	predict	VERB
cana-4166	282	13	positive	positive	ADJ
cana-4166	282	14	outcomes	outcome	NOUN
cana-4166	282	15	divided	divide	VERB
cana-4166	282	16	by	by	ADP
cana-4166	282	17	the	the	DET
cana-4166	282	18	total	total	ADJ
cana-4166	282	19	amount	amount	NOUN
cana-4166	282	20	of	of	ADP
cana-4166	282	21	forecasts	forecast	NOUN
cana-4166	282	22	made	make	VERB
cana-4166	282	23	.	.	PUNCT
cana-4166	283	1	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	𝐴𝑐𝑐𝑢𝑟𝑎𝑐𝑦	PROPN
cana-4166	283	2	=	=	PUNCT
cana-4166	283	3	𝑇𝑃	𝑇𝑃	PROPN
cana-4166	283	4	+	+	CCONJ
cana-4166	283	5	𝑇𝑁	𝑇𝑁	PROPN
cana-4166	283	6	𝑆	𝑆	PROPN
cana-4166	283	7	(	(	PUNCT
cana-4166	283	8	1	1	NUM
cana-4166	283	9	)	)	PUNCT
cana-4166	283	10	precision	precision	NOUN
cana-4166	283	11	:	:	PUNCT
cana-4166	283	12	in	in	ADP
cana-4166	283	13	contrast	contrast	NOUN
cana-4166	283	14	to	to	ADP
cana-4166	283	15	this	this	DET
cana-4166	283	16	ratio	ratio	NOUN
cana-4166	283	17	in	in	ADP
cana-4166	283	18	addition	addition	NOUN
cana-4166	283	19	to	to	ADP
cana-4166	283	20	one	one	NUM
cana-4166	283	21	minus	minus	NOUN
cana-4166	283	22	from	from	ADP
cana-4166	283	23	it	it	PRON
cana-4166	283	24	,	,	PUNCT
cana-4166	283	25	i.e.	i.e.	X
cana-4166	283	26	,	,	PUNCT
cana-4166	283	27	(	(	PUNCT
cana-4166	283	28	1	1	NUM
cana-4166	283	29	–	–	PUNCT
cana-4166	283	30	precision	precision	NOUN
cana-4166	283	31	)	)	PUNCT
cana-4166	283	32	,	,	PUNCT
cana-4166	283	33	which	which	PRON
cana-4166	283	34	presents	present	VERB
cana-4166	283	35	the	the	DET
cana-4166	283	36	percentage	percentage	NOUN
cana-4166	283	37	of	of	ADP
cana-4166	283	38	false	false	ADJ
cana-4166	283	39	negatives	negative	NOUN
cana-4166	283	40	;	;	PUNCT
cana-4166	283	41	1	1	NUM
cana-4166	283	42	/	/	SYM
cana-4166	283	43	precision	precision	NOUN
cana-4166	283	44	yields	yield	NOUN
cana-4166	283	45	recall	recall	VERB
cana-4166	283	46	.	.	PUNCT
cana-4166	284	1	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑖𝑜𝑛	PROPN
cana-4166	284	2	=	=	SYM
cana-4166	284	3	𝑇𝑃	𝑇𝑃	PROPN
cana-4166	284	4	𝑇𝑃	𝑇𝑃	PROPN
cana-4166	284	5	+	+	CCONJ
cana-4166	284	6	𝐹𝑃	𝐹𝑃	PROPN
cana-4166	284	7	(	(	PUNCT
cana-4166	284	8	2	2	NUM
cana-4166	284	9	)	)	PUNCT
cana-4166	284	10	recall	recall	NOUN
cana-4166	284	11	:	:	PUNCT
cana-4166	284	12	on	on	ADP
cana-4166	284	13	the	the	DET
cana-4166	284	14	other	other	ADJ
cana-4166	284	15	hand	hand	NOUN
cana-4166	284	16	,	,	PUNCT
cana-4166	284	17	there	there	PRON
cana-4166	284	18	are	be	VERB
cana-4166	284	19	called	call	VERB
cana-4166	284	20	false	false	ADJ
cana-4166	284	21	negatives	negative	NOUN
cana-4166	284	22	about	about	ADP
cana-4166	284	23	true	true	ADJ
cana-4166	284	24	negatives	negative	NOUN
cana-4166	284	25	.	.	PUNCT
cana-4166	285	1	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-4166	285	2	=	=	SYM
cana-4166	285	3	𝑇𝑃	𝑇𝑃	PROPN
cana-4166	285	4	𝑇𝑃	𝑇𝑃	PROPN
cana-4166	285	5	+	+	CCONJ
cana-4166	285	6	𝐹𝑁	𝐹𝑁	PROPN
cana-4166	285	7	(	(	PUNCT
cana-4166	285	8	3	3	NUM
cana-4166	285	9	)	)	PUNCT
cana-4166	285	10	f1	f1	NOUN
cana-4166	285	11	-	-	PUNCT
cana-4166	285	12	score	score	NOUN
cana-4166	285	13	:	:	PUNCT
cana-4166	285	14	the	the	DET
cana-4166	285	15	harmonic	harmonic	ADJ
cana-4166	285	16	mean	mean	NOUN
cana-4166	285	17	of	of	ADP
cana-4166	285	18	the	the	DET
cana-4166	285	19	recall	recall	NOUN
cana-4166	285	20	and	and	CCONJ
cana-4166	285	21	accuracy	accuracy	NOUN
cana-4166	285	22	scores	score	NOUN
cana-4166	285	23	is	be	AUX
cana-4166	285	24	used	use	VERB
cana-4166	285	25	to	to	PART
cana-4166	285	26	calculate	calculate	VERB
cana-4166	285	27	it	it	PRON
cana-4166	285	28	.	.	PUNCT
cana-4166	286	1	communications	communication	NOUN
cana-4166	286	2	on	on	ADP
cana-4166	286	3	applied	apply	VERB
cana-4166	286	4	nonlinear	nonlinear	ADJ
cana-4166	286	5	analysis	analysis	NOUN
cana-4166	286	6	issn	issn	NOUN
cana-4166	286	7	:	:	PUNCT
cana-4166	286	8	1074	1074	NUM
cana-4166	286	9	-	-	PUNCT
cana-4166	286	10	133x	133x	NUM
cana-4166	286	11	vol	vol	NOUN
cana-4166	286	12	32	32	NUM
cana-4166	286	13	no	no	NOUN
cana-4166	286	14	.	.	PUNCT
cana-4166	287	1	9s	9s	NUM
cana-4166	287	2	(	(	PUNCT
cana-4166	287	3	2025	2025	NUM
cana-4166	287	4	)	)	PUNCT
cana-4166	287	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	287	6	1418	1418	NUM
cana-4166	287	7	𝐹1	𝐹1	NOUN
cana-4166	287	8	=	=	SYM
cana-4166	287	9	2	2	NUM
cana-4166	287	10	∗	∗	NOUN
cana-4166	287	11	𝑃𝑟	𝑃𝑟	PROPN
cana-4166	287	12	𝑒	𝑒	PROPN
cana-4166	287	13	𝑐𝑖𝑠𝑖𝑜𝑛	𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
cana-4166	287	14	∗	∗	NOUN
cana-4166	288	1	𝑅𝑒	𝑅𝑒	VERB
cana-4166	288	2	𝑐	𝑐	NOUN
cana-4166	288	3	𝑎𝑙𝑙	𝑎𝑙𝑙	VERB
cana-4166	288	4	𝑃𝑟	𝑃𝑟	PROPN
cana-4166	288	5	𝑒	𝑒	PROPN
cana-4166	288	6	𝑐𝑖𝑠𝑖𝑜𝑛	𝑐𝑖𝑠𝑖𝑜𝑛	NOUN
cana-4166	288	7	+	+	CCONJ
cana-4166	289	1	𝑅𝑒	𝑅𝑒	PROPN
cana-4166	289	2	𝑐	𝑐	PROPN
cana-4166	289	3	𝑎𝑙𝑙	𝑎𝑙𝑙	X
cana-4166	289	4	(	(	PUNCT
cana-4166	289	5	4	4	NUM
cana-4166	289	6	)	)	PUNCT
cana-4166	289	7	v	v	NOUN
cana-4166	289	8	result	result	VERB
cana-4166	289	9	advanced	advanced	ADJ
cana-4166	289	10	ddos	ddos	NOUN
cana-4166	289	11	detection	detection	NOUN
cana-4166	289	12	systems	system	NOUN
cana-4166	289	13	are	be	AUX
cana-4166	289	14	needed	need	VERB
cana-4166	289	15	in	in	ADP
cana-4166	289	16	5g	5g	NUM
cana-4166	289	17	-	-	PUNCT
cana-4166	289	18	enabled	enable	VERB
cana-4166	289	19	cloud	cloud	NOUN
cana-4166	289	20	computing	computing	NOUN
cana-4166	289	21	settings	setting	NOUN
cana-4166	289	22	due	due	ADP
cana-4166	289	23	to	to	ADP
cana-4166	289	24	network	network	NOUN
cana-4166	289	25	traffic	traffic	NOUN
cana-4166	289	26	complexity	complexity	NOUN
cana-4166	289	27	and	and	CCONJ
cana-4166	289	28	volume	volume	NOUN
cana-4166	289	29	.	.	PUNCT
cana-4166	290	1	this	this	DET
cana-4166	290	2	study	study	NOUN
cana-4166	290	3	compares	compare	VERB
cana-4166	290	4	deep	deep	ADJ
cana-4166	290	5	learning	learning	NOUN
cana-4166	290	6	architectures	architecture	NOUN
cana-4166	290	7	to	to	PART
cana-4166	290	8	find	find	VERB
cana-4166	290	9	the	the	DET
cana-4166	290	10	best	good	ADJ
cana-4166	290	11	way	way	NOUN
cana-4166	290	12	to	to	PART
cana-4166	290	13	detect	detect	VERB
cana-4166	290	14	legal	legal	ADJ
cana-4166	290	15	and	and	CCONJ
cana-4166	290	16	malicious	malicious	ADJ
cana-4166	290	17	communications	communication	NOUN
cana-4166	290	18	.	.	PUNCT
cana-4166	291	1	the	the	DET
cana-4166	291	2	investigation	investigation	NOUN
cana-4166	291	3	shows	show	VERB
cana-4166	291	4	considerable	considerable	ADJ
cana-4166	291	5	disparities	disparity	NOUN
cana-4166	291	6	in	in	ADP
cana-4166	291	7	detection	detection	NOUN
cana-4166	291	8	skills	skill	NOUN
cana-4166	291	9	across	across	ADP
cana-4166	291	10	the	the	DET
cana-4166	291	11	investigated	investigate	VERB
cana-4166	291	12	approaches	approach	NOUN
cana-4166	291	13	using	use	VERB
cana-4166	291	14	confusion	confusion	NOUN
cana-4166	291	15	matrices	matrix	NOUN
cana-4166	291	16	,	,	PUNCT
cana-4166	291	17	roc	roc	PROPN
cana-4166	291	18	curves	curve	NOUN
cana-4166	291	19	,	,	PUNCT
cana-4166	291	20	and	and	CCONJ
cana-4166	291	21	important	important	ADJ
cana-4166	291	22	performance	performance	NOUN
cana-4166	291	23	measures	measure	NOUN
cana-4166	291	24	.	.	PUNCT
cana-4166	292	1	the	the	DET
cana-4166	292	2	results	result	NOUN
cana-4166	292	3	demonstrate	demonstrate	VERB
cana-4166	292	4	the	the	DET
cana-4166	292	5	importance	importance	NOUN
cana-4166	292	6	of	of	ADP
cana-4166	292	7	complex	complex	ADJ
cana-4166	292	8	model	model	NOUN
cana-4166	292	9	architectures	architecture	NOUN
cana-4166	292	10	in	in	ADP
cana-4166	292	11	real	real	ADJ
cana-4166	292	12	-	-	PUNCT
cana-4166	292	13	time	time	NOUN
cana-4166	292	14	ddos	ddos	NOUN
cana-4166	292	15	detection	detection	NOUN
cana-4166	292	16	accuracy	accuracy	NOUN
cana-4166	292	17	and	and	CCONJ
cana-4166	292	18	reliability	reliability	NOUN
cana-4166	292	19	for	for	ADP
cana-4166	292	20	current	current	ADJ
cana-4166	292	21	cloud	cloud	NOUN
cana-4166	292	22	infrastructure	infrastructure	NOUN
cana-4166	292	23	security	security	NOUN
cana-4166	292	24	and	and	CCONJ
cana-4166	292	25	integrity	integrity	NOUN
cana-4166	292	26	.	.	PUNCT
cana-4166	293	1	a.	a.	NOUN
cana-4166	293	2	confusion	confusion	NOUN
cana-4166	293	3	matrix	matrix	NOUN
cana-4166	293	4	figure	figure	NOUN
cana-4166	293	5	4	4	NUM
cana-4166	293	6	:	:	PUNCT
cana-4166	293	7	confusion	confusion	NOUN
cana-4166	293	8	matrix	matrix	NOUN
cana-4166	293	9	of	of	ADP
cana-4166	293	10	lstm	lstm	PROPN
cana-4166	293	11	cnn	cnn	PROPN
cana-4166	293	12	,	,	PUNCT
cana-4166	293	13	showing	show	VERB
cana-4166	293	14	difficulty	difficulty	NOUN
cana-4166	293	15	identifying	identify	VERB
cana-4166	293	16	attack	attack	NOUN
cana-4166	293	17	patterns	pattern	NOUN
cana-4166	293	18	.	.	PUNCT
cana-4166	294	1	lstm	lstm	NOUN
cana-4166	294	2	can	can	AUX
cana-4166	294	3	predict	predict	VERB
cana-4166	294	4	traffic	traffic	NOUN
cana-4166	294	5	patterns	pattern	NOUN
cana-4166	294	6	over	over	ADP
cana-4166	294	7	time	time	NOUN
cana-4166	294	8	by	by	ADP
cana-4166	294	9	collecting	collect	VERB
cana-4166	294	10	temporal	temporal	ADJ
cana-4166	294	11	sequences	sequence	NOUN
cana-4166	294	12	,	,	PUNCT
cana-4166	294	13	however	however	ADV
cana-4166	294	14	its	its	PRON
cana-4166	294	15	distribution	distribution	NOUN
cana-4166	294	16	of	of	ADP
cana-4166	294	17	off	off	ADP
cana-4166	294	18	-	-	PUNCT
cana-4166	294	19	diagonal	diagonal	ADJ
cana-4166	294	20	values	value	NOUN
cana-4166	294	21	may	may	AUX
cana-4166	294	22	make	make	VERB
cana-4166	294	23	it	it	PRON
cana-4166	294	24	less	less	ADV
cana-4166	294	25	accurate	accurate	ADJ
cana-4166	294	26	at	at	ADP
cana-4166	294	27	identifying	identify	VERB
cana-4166	294	28	all	all	DET
cana-4166	294	29	ddos	ddo	NOUN
cana-4166	294	30	occurrences	occurrence	NOUN
cana-4166	294	31	.	.	PUNCT
cana-4166	295	1	figure	figure	NOUN
cana-4166	295	2	4	4	NUM
cana-4166	295	3	demonstrates	demonstrate	VERB
cana-4166	295	4	bi	bi	ADJ
cana-4166	295	5	-	-	ADJ
cana-4166	295	6	lstm	lstm	ADJ
cana-4166	295	7	confusion	confusion	NOUN
cana-4166	295	8	matrix	matrix	NOUN
cana-4166	295	9	has	have	VERB
cana-4166	295	10	the	the	DET
cana-4166	295	11	most	most	ADJ
cana-4166	295	12	misclassifications	misclassification	NOUN
cana-4166	295	13	in	in	ADP
cana-4166	295	14	distributed	distribute	VERB
cana-4166	295	15	off	off	ADP
cana-4166	295	16	-	-	PUNCT
cana-4166	295	17	diagonal	diagonal	ADJ
cana-4166	295	18	values	value	NOUN
cana-4166	295	19	.	.	PUNCT
cana-4166	296	1	while	while	SCONJ
cana-4166	296	2	bi	bi	NOUN
cana-4166	296	3	-	-	ADJ
cana-4166	296	4	lstm	lstm	ADJ
cana-4166	296	5	can	can	AUX
cana-4166	296	6	evaluate	evaluate	VERB
cana-4166	296	7	traffic	traffic	NOUN
cana-4166	296	8	flows	flow	NOUN
cana-4166	296	9	from	from	ADP
cana-4166	296	10	both	both	DET
cana-4166	296	11	directions	direction	NOUN
cana-4166	296	12	,	,	PUNCT
cana-4166	296	13	this	this	DET
cana-4166	296	14	complexity	complexity	NOUN
cana-4166	296	15	communications	communication	NOUN
cana-4166	296	16	on	on	ADP
cana-4166	296	17	applied	apply	VERB
cana-4166	296	18	nonlinear	nonlinear	ADJ
cana-4166	296	19	analysis	analysis	NOUN
cana-4166	296	20	issn	issn	NOUN
cana-4166	296	21	:	:	PUNCT
cana-4166	296	22	1074	1074	NUM
cana-4166	296	23	-	-	PUNCT
cana-4166	296	24	133x	133x	NUM
cana-4166	296	25	vol	vol	NOUN
cana-4166	296	26	32	32	NUM
cana-4166	296	27	no	no	NOUN
cana-4166	296	28	.	.	PUNCT
cana-4166	297	1	9s	9s	NUM
cana-4166	297	2	(	(	PUNCT
cana-4166	297	3	2025	2025	NUM
cana-4166	297	4	)	)	PUNCT
cana-4166	297	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	297	6	1419	1419	NUM
cana-4166	297	7	figure	figure	NOUN
cana-4166	297	8	5	5	NUM
cana-4166	297	9	:	:	PUNCT
cana-4166	297	10	confusion	confusion	NOUN
cana-4166	297	11	matrix	matrix	NOUN
cana-4166	297	12	of	of	ADP
cana-4166	297	13	qcnn	qcnn	PROPN
cana-4166	297	14	figure	figure	VERB
cana-4166	297	15	6	6	NUM
cana-4166	297	16	:	:	PUNCT
cana-4166	297	17	confusion	confusion	NOUN
cana-4166	297	18	matrix	matrix	NOUN
cana-4166	297	19	of	of	ADP
cana-4166	297	20	cnn	cnn	PROPN
cana-4166	297	21	does	do	AUX
cana-4166	297	22	not	not	PART
cana-4166	297	23	appear	appear	VERB
cana-4166	297	24	to	to	PART
cana-4166	297	25	improve	improve	VERB
cana-4166	297	26	ddos	ddos	NOUN
cana-4166	297	27	detection	detection	NOUN
cana-4166	297	28	accuracy	accuracy	NOUN
cana-4166	297	29	in	in	ADP
cana-4166	297	30	this	this	DET
cana-4166	297	31	situation	situation	NOUN
cana-4166	297	32	,	,	PUNCT
cana-4166	297	33	making	make	VERB
cana-4166	297	34	it	it	PRON
cana-4166	297	35	the	the	DET
cana-4166	297	36	least	least	ADV
cana-4166	297	37	successful	successful	ADJ
cana-4166	297	38	model	model	NOUN
cana-4166	297	39	of	of	ADP
cana-4166	297	40	the	the	DET
cana-4166	297	41	four	four	NUM
cana-4166	297	42	for	for	ADP
cana-4166	297	43	this	this	DET
cana-4166	297	44	application	application	NOUN
cana-4166	297	45	.	.	PUNCT
cana-4166	298	1	in	in	ADP
cana-4166	298	2	conclusion	conclusion	NOUN
cana-4166	298	3	,	,	PUNCT
cana-4166	298	4	qcnn	qcnn	PROPN
cana-4166	298	5	(	(	PUNCT
cana-4166	298	6	figure	figure	NOUN
cana-4166	298	7	6	6	NUM
cana-4166	298	8	)	)	PUNCT
cana-4166	298	9	is	be	AUX
cana-4166	298	10	the	the	DET
cana-4166	298	11	best	good	ADJ
cana-4166	298	12	model	model	NOUN
cana-4166	298	13	for	for	ADP
cana-4166	298	14	5genabled	5genabled	NUM
cana-4166	298	15	cloud	cloud	ADJ
cana-4166	298	16	ddos	ddo	NOUN
cana-4166	298	17	detection	detection	NOUN
cana-4166	298	18	,	,	PUNCT
cana-4166	298	19	followed	follow	VERB
cana-4166	298	20	by	by	ADP
cana-4166	298	21	cnn	cnn	PROPN
cana-4166	298	22	,	,	PUNCT
cana-4166	298	23	lstm	lstm	ADJ
cana-4166	298	24	,	,	PUNCT
cana-4166	298	25	and	and	CCONJ
cana-4166	298	26	bi	bi	NOUN
cana-4166	298	27	-	-	NOUN
cana-4166	298	28	lstm	lstm	ADJ
cana-4166	298	29	.	.	PUNCT
cana-4166	299	1	these	these	DET
cana-4166	299	2	findings	finding	NOUN
cana-4166	299	3	show	show	VERB
cana-4166	299	4	that	that	SCONJ
cana-4166	299	5	cloud	cloud	NOUN
cana-4166	299	6	-	-	PUNCT
cana-4166	299	7	based	base	VERB
cana-4166	299	8	ddos	ddos	NOUN
cana-4166	299	9	security	security	NOUN
cana-4166	299	10	systems	system	NOUN
cana-4166	299	11	in	in	ADP
cana-4166	299	12	5	5	NUM
cana-4166	299	13	g	g	NOUN
cana-4166	299	14	networks	network	NOUN
cana-4166	299	15	need	need	VERB
cana-4166	299	16	the	the	DET
cana-4166	299	17	correct	correct	ADJ
cana-4166	299	18	model	model	NOUN
cana-4166	299	19	architecture	architecture	NOUN
cana-4166	299	20	for	for	ADP
cana-4166	299	21	high	high	ADJ
cana-4166	299	22	accuracy	accuracy	NOUN
cana-4166	299	23	and	and	CCONJ
cana-4166	299	24	real	real	ADJ
cana-4166	299	25	-	-	PUNCT
cana-4166	299	26	time	time	NOUN
cana-4166	299	27	detection	detection	NOUN
cana-4166	299	28	.	.	PUNCT
cana-4166	300	1	communications	communication	NOUN
cana-4166	300	2	on	on	ADP
cana-4166	300	3	applied	apply	VERB
cana-4166	300	4	nonlinear	nonlinear	ADJ
cana-4166	300	5	analysis	analysis	NOUN
cana-4166	300	6	issn	issn	NOUN
cana-4166	300	7	:	:	PUNCT
cana-4166	300	8	1074	1074	NUM
cana-4166	300	9	-	-	PUNCT
cana-4166	300	10	133x	133x	NUM
cana-4166	300	11	vol	vol	NOUN
cana-4166	300	12	32	32	NUM
cana-4166	300	13	no	no	NOUN
cana-4166	300	14	.	.	PUNCT
cana-4166	301	1	9s	9s	NUM
cana-4166	301	2	(	(	PUNCT
cana-4166	301	3	2025	2025	NUM
cana-4166	301	4	)	)	PUNCT
cana-4166	301	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	301	6	1420	1420	NUM
cana-4166	301	7	figure	figure	NOUN
cana-4166	301	8	7	7	NUM
cana-4166	301	9	:	:	PUNCT
cana-4166	301	10	confusion	confusion	NOUN
cana-4166	301	11	matrix	matrix	NOUN
cana-4166	301	12	of	of	ADP
cana-4166	301	13	bi	bi	NOUN
cana-4166	301	14	-	-	NOUN
cana-4166	301	15	lstm	lstm	ADJ
cana-4166	301	16	this	this	DET
cana-4166	301	17	evaluation	evaluation	NOUN
cana-4166	301	18	uses	use	VERB
cana-4166	301	19	confusion	confusion	NOUN
cana-4166	301	20	matrices	matrix	NOUN
cana-4166	301	21	to	to	PART
cana-4166	301	22	compare	compare	VERB
cana-4166	301	23	the	the	DET
cana-4166	301	24	performance	performance	NOUN
cana-4166	301	25	of	of	ADP
cana-4166	301	26	quantum	quantum	ADJ
cana-4166	301	27	convolutional	convolutional	ADJ
cana-4166	301	28	neural	neural	ADJ
cana-4166	301	29	network	network	NOUN
cana-4166	301	30	(	(	PUNCT
cana-4166	301	31	qcnn	qcnn	PROPN
cana-4166	301	32	)	)	PUNCT
cana-4166	301	33	,	,	PUNCT
cana-4166	301	34	cnn	cnn	PROPN
cana-4166	301	35	,	,	PUNCT
cana-4166	301	36	lstm	lstm	ADJ
cana-4166	301	37	,	,	PUNCT
cana-4166	301	38	and	and	CCONJ
cana-4166	301	39	bi	bi	ADJ
cana-4166	301	40	-	-	ADJ
cana-4166	301	41	lstm	lstm	ADJ
cana-4166	301	42	deep	deep	ADJ
cana-4166	301	43	learning	learning	NOUN
cana-4166	301	44	models	model	NOUN
cana-4166	301	45	for	for	ADP
cana-4166	301	46	ddos	ddos	NOUN
cana-4166	301	47	attack	attack	NOUN
cana-4166	301	48	detection	detection	NOUN
cana-4166	301	49	in	in	ADP
cana-4166	301	50	5g	5g	NUM
cana-4166	301	51	-	-	PUNCT
cana-4166	301	52	enabled	enable	VERB
cana-4166	301	53	cloud	cloud	NOUN
cana-4166	301	54	computing	computing	NOUN
cana-4166	301	55	.	.	PUNCT
cana-4166	302	1	the	the	DET
cana-4166	302	2	breakdown	breakdown	NOUN
cana-4166	302	3	includes	include	VERB
cana-4166	302	4	figures	figure	NOUN
cana-4166	302	5	:	:	PUNCT
cana-4166	302	6	qcnn	qcnn	PROPN
cana-4166	302	7	with	with	ADP
cana-4166	302	8	bottleneck	bottleneck	NOUN
cana-4166	302	9	and	and	CCONJ
cana-4166	302	10	attention	attention	NOUN
cana-4166	302	11	mechanism	mechanism	NOUN
cana-4166	302	12	has	have	VERB
cana-4166	302	13	a	a	DET
cana-4166	302	14	strong	strong	ADJ
cana-4166	302	15	diagonal	diagonal	NOUN
cana-4166	302	16	in	in	ADP
cana-4166	302	17	the	the	DET
cana-4166	302	18	confusion	confusion	NOUN
cana-4166	302	19	matrix	matrix	NOUN
cana-4166	302	20	,	,	PUNCT
cana-4166	302	21	indicating	indicate	VERB
cana-4166	302	22	few	few	ADJ
cana-4166	302	23	misclassifications	misclassification	NOUN
cana-4166	302	24	(	(	PUNCT
cana-4166	302	25	figure	figure	NOUN
cana-4166	302	26	5	5	NUM
cana-4166	302	27	)	)	PUNCT
cana-4166	302	28	.	.	PUNCT
cana-4166	303	1	in	in	ADP
cana-4166	303	2	cloud	cloud	NOUN
cana-4166	303	3	ddos	ddo	NOUN
cana-4166	303	4	detection	detection	NOUN
cana-4166	303	5	,	,	PUNCT
cana-4166	303	6	qcnn	qcnn	PROPN
cana-4166	303	7	can	can	AUX
cana-4166	303	8	distinguish	distinguish	VERB
cana-4166	303	9	between	between	ADP
cana-4166	303	10	regular	regular	ADJ
cana-4166	303	11	and	and	CCONJ
cana-4166	303	12	malicious	malicious	ADJ
cana-4166	303	13	traffic	traffic	NOUN
cana-4166	303	14	,	,	PUNCT
cana-4166	303	15	which	which	PRON
cana-4166	303	16	is	be	AUX
cana-4166	303	17	crucial	crucial	ADJ
cana-4166	303	18	.	.	PUNCT
cana-4166	304	1	qcnn	qcnn	PROPN
cana-4166	304	2	is	be	AUX
cana-4166	304	3	a	a	DET
cana-4166	304	4	top	top	ADJ
cana-4166	304	5	model	model	NOUN
cana-4166	304	6	that	that	PRON
cana-4166	304	7	can	can	AUX
cana-4166	304	8	handle	handle	VERB
cana-4166	304	9	5	5	NUM
cana-4166	304	10	g	g	NOUN
cana-4166	304	11	network	network	NOUN
cana-4166	304	12	complexity	complexity	NOUN
cana-4166	304	13	and	and	CCONJ
cana-4166	304	14	data	datum	NOUN
cana-4166	304	15	flow	flow	NOUN
cana-4166	304	16	because	because	SCONJ
cana-4166	304	17	of	of	ADP
cana-4166	304	18	its	its	PRON
cana-4166	304	19	excellent	excellent	ADJ
cana-4166	304	20	precision	precision	NOUN
cana-4166	304	21	and	and	CCONJ
cana-4166	304	22	recall	recall	NOUN
cana-4166	304	23	metrics	metric	NOUN
cana-4166	304	24	.	.	PUNCT
cana-4166	305	1	in	in	ADP
cana-4166	305	2	figure	figure	NOUN
cana-4166	305	3	6	6	NUM
cana-4166	305	4	,	,	PUNCT
cana-4166	305	5	cnn	cnn	PROPN
cana-4166	305	6	's	's	PART
cana-4166	305	7	confusion	confusion	NOUN
cana-4166	305	8	matrix	matrix	NOUN
cana-4166	305	9	shows	show	VERB
cana-4166	305	10	solid	solid	ADJ
cana-4166	305	11	performance	performance	NOUN
cana-4166	305	12	with	with	ADP
cana-4166	305	13	a	a	DET
cana-4166	305	14	concentrated	concentrate	VERB
cana-4166	305	15	diagonal	diagonal	ADJ
cana-4166	305	16	,	,	PUNCT
cana-4166	305	17	but	but	CCONJ
cana-4166	305	18	more	more	ADJ
cana-4166	305	19	misclassifications	misclassification	NOUN
cana-4166	305	20	than	than	ADP
cana-4166	305	21	figure	figure	NOUN
cana-4166	305	22	8	8	NUM
cana-4166	305	23	:	:	PUNCT
cana-4166	305	24	roc	roc	PROPN
cana-4166	305	25	curve	curve	NOUN
cana-4166	305	26	of	of	ADP
cana-4166	305	27	qcnn	qcnn	PROPN
cana-4166	305	28	communications	communication	NOUN
cana-4166	305	29	on	on	ADP
cana-4166	305	30	applied	apply	VERB
cana-4166	305	31	nonlinear	nonlinear	ADJ
cana-4166	305	32	analysis	analysis	NOUN
cana-4166	305	33	issn	issn	NOUN
cana-4166	305	34	:	:	PUNCT
cana-4166	305	35	1074	1074	NUM
cana-4166	305	36	-	-	PUNCT
cana-4166	305	37	133x	133x	NUM
cana-4166	305	38	vol	vol	NOUN
cana-4166	305	39	32	32	NUM
cana-4166	305	40	no	no	NOUN
cana-4166	305	41	.	.	PUNCT
cana-4166	306	1	9s	9s	NUM
cana-4166	306	2	(	(	PUNCT
cana-4166	306	3	2025	2025	NUM
cana-4166	306	4	)	)	PUNCT
cana-4166	306	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	306	6	1421	1421	NUM
cana-4166	306	7	figure	figure	NOUN
cana-4166	306	8	9	9	NUM
cana-4166	306	9	:	:	PUNCT
cana-4166	306	10	roc	roc	PROPN
cana-4166	306	11	curve	curve	NOUN
cana-4166	306	12	of	of	ADP
cana-4166	306	13	cnn	cnn	PROPN
cana-4166	306	14	figure	figure	NOUN
cana-4166	306	15	10	10	NUM
cana-4166	306	16	:	:	PUNCT
cana-4166	306	17	roc	roc	PROPN
cana-4166	306	18	curve	curve	NOUN
cana-4166	306	19	of	of	ADP
cana-4166	306	20	lstm	lstm	ADJ
cana-4166	306	21	communications	communication	NOUN
cana-4166	306	22	on	on	ADP
cana-4166	306	23	applied	apply	VERB
cana-4166	306	24	nonlinear	nonlinear	ADJ
cana-4166	306	25	analysis	analysis	NOUN
cana-4166	306	26	issn	issn	NOUN
cana-4166	306	27	:	:	PUNCT
cana-4166	306	28	1074	1074	NUM
cana-4166	306	29	-	-	PUNCT
cana-4166	306	30	133x	133x	NUM
cana-4166	306	31	vol	vol	NOUN
cana-4166	306	32	32	32	NUM
cana-4166	306	33	no	no	NOUN
cana-4166	306	34	.	.	PUNCT
cana-4166	307	1	9s	9s	NUM
cana-4166	307	2	(	(	PUNCT
cana-4166	307	3	2025	2025	NUM
cana-4166	307	4	)	)	PUNCT
cana-4166	307	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	307	6	1422	1422	NUM
cana-4166	307	7	figure	figure	NOUN
cana-4166	307	8	11	11	NUM
cana-4166	307	9	:	:	PUNCT
cana-4166	307	10	roc	roc	PROPN
cana-4166	307	11	curve	curve	NOUN
cana-4166	307	12	of	of	ADP
cana-4166	307	13	bi	bi	NOUN
cana-4166	307	14	-	-	NOUN
cana-4166	307	15	lstm	lstm	ADJ
cana-4166	307	16	the	the	DET
cana-4166	307	17	picture	picture	NOUN
cana-4166	307	18	shows	show	VERB
cana-4166	307	19	the	the	DET
cana-4166	307	20	roc	roc	PROPN
cana-4166	307	21	curves	curve	NOUN
cana-4166	307	22	for	for	ADP
cana-4166	307	23	four	four	NUM
cana-4166	307	24	neural	neural	ADJ
cana-4166	307	25	network	network	NOUN
cana-4166	307	26	models	model	NOUN
cana-4166	307	27	that	that	PRON
cana-4166	307	28	were	be	AUX
cana-4166	307	29	tested	test	VERB
cana-4166	307	30	on	on	ADP
cana-4166	307	31	a	a	DET
cana-4166	307	32	multi	multi	ADJ
cana-4166	307	33	-	-	ADJ
cana-4166	307	34	class	class	ADJ
cana-4166	307	35	classification	classification	NOUN
cana-4166	307	36	task	task	NOUN
cana-4166	307	37	:	:	PUNCT
cana-4166	307	38	cnn	cnn	PROPN
cana-4166	307	39	,	,	PUNCT
cana-4166	307	40	lstm	lstm	PROPN
cana-4166	307	41	,	,	PUNCT
cana-4166	307	42	bi	bi	NOUN
cana-4166	307	43	-	-	ADJ
cana-4166	307	44	lstm	lstm	ADJ
cana-4166	307	45	,	,	PUNCT
cana-4166	307	46	and	and	CCONJ
cana-4166	307	47	qccnn	qccnn	VERB
cana-4166	307	48	with	with	ADP
cana-4166	307	49	bottleneck	bottleneck	NOUN
cana-4166	307	50	.	.	PUNCT
cana-4166	308	1	the	the	DET
cana-4166	308	2	roc	roc	PROPN
cana-4166	308	3	curves	curve	NOUN
cana-4166	308	4	for	for	ADP
cana-4166	308	5	each	each	DET
cana-4166	308	6	model	model	NOUN
cana-4166	308	7	,	,	PUNCT
cana-4166	308	8	which	which	PRON
cana-4166	308	9	range	range	VERB
cana-4166	308	10	from	from	ADP
cana-4166	308	11	0	0	NUM
cana-4166	308	12	to	to	ADP
cana-4166	308	13	9	9	NUM
cana-4166	308	14	,	,	PUNCT
cana-4166	308	15	show	show	VERB
cana-4166	308	16	how	how	SCONJ
cana-4166	308	17	well	well	ADV
cana-4166	308	18	it	it	PRON
cana-4166	308	19	can	can	AUX
cana-4166	308	20	differentiate	differentiate	VERB
cana-4166	308	21	between	between	ADP
cana-4166	308	22	classes	class	NOUN
cana-4166	308	23	.	.	PUNCT
cana-4166	309	1	each	each	DET
cana-4166	309	2	curve	curve	NOUN
cana-4166	309	3	is	be	AUX
cana-4166	309	4	accompanied	accompany	VERB
cana-4166	309	5	by	by	ADP
cana-4166	309	6	an	an	DET
cana-4166	309	7	auc	auc	NOUN
cana-4166	309	8	value	value	NOUN
cana-4166	309	9	.	.	PUNCT
cana-4166	310	1	strong	strong	ADJ
cana-4166	310	2	performance	performance	NOUN
cana-4166	310	3	is	be	AUX
cana-4166	310	4	demonstrated	demonstrate	VERB
cana-4166	310	5	by	by	ADP
cana-4166	310	6	the	the	DET
cana-4166	310	7	qcnn	qcnn	PROPN
cana-4166	310	8	model	model	PROPN
cana-4166	310	9	,	,	PUNCT
cana-4166	310	10	which	which	PRON
cana-4166	310	11	obtains	obtain	VERB
cana-4166	310	12	the	the	DET
cana-4166	310	13	highest	high	ADJ
cana-4166	310	14	and	and	CCONJ
cana-4166	310	15	most	most	ADV
cana-4166	310	16	reliable	reliable	ADJ
cana-4166	310	17	auc	auc	NOUN
cana-4166	310	18	scores	score	NOUN
cana-4166	310	19	across	across	ADP
cana-4166	310	20	all	all	DET
cana-4166	310	21	classes	class	NOUN
cana-4166	310	22	.	.	PUNCT
cana-4166	311	1	the	the	DET
cana-4166	311	2	cnn	cnn	PROPN
cana-4166	311	3	model	model	NOUN
cana-4166	311	4	comes	come	VERB
cana-4166	311	5	in	in	ADP
cana-4166	311	6	second	second	ADJ
cana-4166	311	7	,	,	PUNCT
cana-4166	311	8	with	with	ADP
cana-4166	311	9	auc	auc	NOUN
cana-4166	311	10	values	value	NOUN
cana-4166	311	11	that	that	PRON
cana-4166	311	12	are	be	AUX
cana-4166	311	13	marginally	marginally	ADV
cana-4166	311	14	lower	low	ADJ
cana-4166	311	15	than	than	SCONJ
cana-4166	311	16	qcnn	qcnn	PROPN
cana-4166	311	17	's	's	PART
cana-4166	311	18	but	but	CCONJ
cana-4166	311	19	still	still	ADV
cana-4166	311	20	generally	generally	ADV
cana-4166	311	21	high	high	ADJ
cana-4166	311	22	.	.	PUNCT
cana-4166	312	1	although	although	SCONJ
cana-4166	312	2	the	the	DET
cana-4166	312	3	auc	auc	NOUN
cana-4166	312	4	ratings	rating	NOUN
cana-4166	312	5	of	of	ADP
cana-4166	312	6	the	the	DET
cana-4166	312	7	lstm	lstm	NOUN
cana-4166	312	8	and	and	CCONJ
cana-4166	312	9	bi	bi	ADJ
cana-4166	312	10	-	-	ADJ
cana-4166	312	11	lstm	lstm	ADJ
cana-4166	312	12	models	model	NOUN
cana-4166	312	13	show	show	VERB
cana-4166	312	14	more	more	ADJ
cana-4166	312	15	fluctuation	fluctuation	NOUN
cana-4166	312	16	across	across	ADP
cana-4166	312	17	classes	class	NOUN
cana-4166	312	18	,	,	PUNCT
cana-4166	312	19	indicating	indicate	VERB
cana-4166	312	20	less	less	ADV
cana-4166	312	21	consistent	consistent	ADJ
cana-4166	312	22	performance	performance	NOUN
cana-4166	312	23	in	in	ADP
cana-4166	312	24	differentiating	differentiate	VERB
cana-4166	312	25	particular	particular	ADJ
cana-4166	312	26	classes	class	NOUN
cana-4166	312	27	,	,	PUNCT
cana-4166	312	28	they	they	PRON
cana-4166	312	29	still	still	ADV
cana-4166	312	30	perform	perform	VERB
cana-4166	312	31	well	well	ADV
cana-4166	312	32	.	.	PUNCT
cana-4166	313	1	while	while	SCONJ
cana-4166	313	2	lstm	lstm	NOUN
cana-4166	313	3	and	and	CCONJ
cana-4166	313	4	bi	bi	NOUN
cana-4166	313	5	-	-	NOUN
cana-4166	313	6	lstm	lstm	NOUN
cana-4166	313	7	have	have	VERB
cana-4166	313	8	greater	great	ADJ
cana-4166	313	9	accuracy	accuracy	NOUN
cana-4166	313	10	fluctuations	fluctuation	NOUN
cana-4166	313	11	across	across	ADP
cana-4166	313	12	the	the	DET
cana-4166	313	13	various	various	ADJ
cana-4166	313	14	classes	class	NOUN
cana-4166	313	15	,	,	PUNCT
cana-4166	313	16	qcnn	qcnn	VERB
cana-4166	313	17	with	with	ADP
cana-4166	313	18	bottleneck	bottleneck	NOUN
cana-4166	313	19	exhibits	exhibit	VERB
cana-4166	313	20	the	the	DET
cana-4166	313	21	best	good	ADJ
cana-4166	313	22	classification	classification	NOUN
cana-4166	313	23	capabilities	capability	NOUN
cana-4166	313	24	overall	overall	ADV
cana-4166	313	25	,	,	PUNCT
cana-4166	313	26	followed	follow	VERB
cana-4166	313	27	by	by	ADP
cana-4166	313	28	cnn	cnn	PROPN
cana-4166	313	29	.	.	PUNCT
cana-4166	314	1	b	b	NOUN
cana-4166	314	2	performance	performance	NOUN
cana-4166	314	3	metrics	metric	NOUN
cana-4166	314	4	figure	figure	VERB
cana-4166	314	5	12	12	NUM
cana-4166	314	6	:	:	PUNCT
cana-4166	314	7	performance	performance	NOUN
cana-4166	314	8	metrics	metric	NOUN
cana-4166	314	9	0.8	0.8	NUM
cana-4166	314	10	0.85	0.85	NUM
cana-4166	314	11	0.9	0.9	NUM
cana-4166	314	12	0.95	0.95	NUM
cana-4166	314	13	1	1	NUM
cana-4166	314	14	qcnn	qcnn	NOUN
cana-4166	314	15	with	with	ADP
cana-4166	314	16	bottleneck	bottleneck	NOUN
cana-4166	314	17	cnn	cnn	PROPN
cana-4166	314	18	lstm	lstm	PROPN
cana-4166	314	19	bilstm	bilstm	NOUN
cana-4166	314	20	performance	performance	NOUN
cana-4166	314	21	metrics	metric	NOUN
cana-4166	314	22	accuracy	accuracy	NOUN
cana-4166	314	23	precision	precision	NOUN
cana-4166	314	24	recall	recall	VERB
cana-4166	314	25	f1	f1	NOUN
cana-4166	314	26	-	-	PUNCT
cana-4166	314	27	score	score	NOUN
cana-4166	314	28	communications	communication	NOUN
cana-4166	314	29	on	on	ADP
cana-4166	314	30	applied	apply	VERB
cana-4166	314	31	nonlinear	nonlinear	ADJ
cana-4166	314	32	analysis	analysis	NOUN
cana-4166	314	33	issn	issn	NOUN
cana-4166	314	34	:	:	PUNCT
cana-4166	314	35	1074	1074	NUM
cana-4166	314	36	-	-	PUNCT
cana-4166	314	37	133x	133x	NUM
cana-4166	314	38	vol	vol	NOUN
cana-4166	314	39	32	32	NUM
cana-4166	314	40	no	no	NOUN
cana-4166	314	41	.	.	PUNCT
cana-4166	315	1	9s	9s	NUM
cana-4166	315	2	(	(	PUNCT
cana-4166	315	3	2025	2025	NUM
cana-4166	315	4	)	)	PUNCT
cana-4166	316	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	316	2	1423	1423	NUM
cana-4166	316	3	the	the	DET
cana-4166	316	4	bar	bar	NOUN
cana-4166	316	5	graph	graph	NOUN
cana-4166	316	6	shows	show	VERB
cana-4166	316	7	accuracy	accuracy	NOUN
cana-4166	316	8	,	,	PUNCT
cana-4166	316	9	precision	precision	NOUN
cana-4166	316	10	,	,	PUNCT
cana-4166	316	11	recall	recall	NOUN
cana-4166	316	12	,	,	PUNCT
cana-4166	316	13	and	and	CCONJ
cana-4166	316	14	f1	f1	NOUN
cana-4166	316	15	-	-	PUNCT
cana-4166	316	16	score	score	NOUN
cana-4166	316	17	for	for	ADP
cana-4166	316	18	four	four	NUM
cana-4166	316	19	neural	neural	ADJ
cana-4166	316	20	network	network	NOUN
cana-4166	316	21	models	model	NOUN
cana-4166	316	22	:	:	PUNCT
cana-4166	316	23	qcnn	qcnn	PROPN
cana-4166	316	24	,	,	PUNCT
cana-4166	316	25	cnn	cnn	PROPN
cana-4166	316	26	,	,	PUNCT
cana-4166	316	27	lstm	lstm	ADJ
cana-4166	316	28	,	,	PUNCT
cana-4166	316	29	and	and	CCONJ
cana-4166	316	30	bi	bi	NOUN
cana-4166	316	31	-	-	NOUN
cana-4166	316	32	lstm	lstm	NOUN
cana-4166	316	33	.	.	PUNCT
cana-4166	317	1	with	with	ADP
cana-4166	317	2	0.98	0.98	NUM
cana-4166	317	3	accuracy	accuracy	NOUN
cana-4166	317	4	,	,	PUNCT
cana-4166	317	5	0.99	0.99	NUM
cana-4166	317	6	precision	precision	NOUN
cana-4166	317	7	,	,	PUNCT
cana-4166	317	8	0.98	0.98	NUM
cana-4166	317	9	recall	recall	NOUN
cana-4166	317	10	,	,	PUNCT
cana-4166	317	11	and	and	CCONJ
cana-4166	317	12	0.99	0.99	NUM
cana-4166	317	13	f1score	f1score	NOUN
cana-4166	317	14	,	,	PUNCT
cana-4166	317	15	qcnn	qcnn	VERB
cana-4166	317	16	with	with	ADP
cana-4166	317	17	bottleneck	bottleneck	NOUN
cana-4166	317	18	has	have	VERB
cana-4166	317	19	the	the	DET
cana-4166	317	20	top	top	ADJ
cana-4166	317	21	scores	score	NOUN
cana-4166	317	22	across	across	ADP
cana-4166	317	23	all	all	DET
cana-4166	317	24	criteria	criterion	NOUN
cana-4166	317	25	.	.	PUNCT
cana-4166	318	1	the	the	DET
cana-4166	318	2	high	high	ADJ
cana-4166	318	3	f1	f1	NOUN
cana-4166	318	4	score	score	NOUN
cana-4166	318	5	indicates	indicate	VERB
cana-4166	318	6	that	that	SCONJ
cana-4166	318	7	qcnn	qcnn	PROPN
cana-4166	318	8	is	be	AUX
cana-4166	318	9	effective	effective	ADJ
cana-4166	318	10	due	due	ADP
cana-4166	318	11	to	to	ADP
cana-4166	318	12	its	its	PRON
cana-4166	318	13	great	great	ADJ
cana-4166	318	14	precision	precision	NOUN
cana-4166	318	15	-	-	PUNCT
cana-4166	318	16	recall	recall	NOUN
cana-4166	318	17	balance	balance	NOUN
cana-4166	318	18	.	.	PUNCT
cana-4166	319	1	results	result	NOUN
cana-4166	319	2	indicate	indicate	VERB
cana-4166	319	3	that	that	SCONJ
cana-4166	319	4	qcnn	qcnn	PROPN
cana-4166	319	5	classifies	classify	VERB
cana-4166	319	6	with	with	ADP
cana-4166	319	7	high	high	ADJ
cana-4166	319	8	reliability	reliability	NOUN
cana-4166	319	9	and	and	CCONJ
cana-4166	319	10	low	low	ADJ
cana-4166	319	11	error	error	NOUN
cana-4166	319	12	.	.	PUNCT
cana-4166	320	1	cnn	cnn	PROPN
cana-4166	320	2	has	have	VERB
cana-4166	320	3	0.9	0.9	NUM
cana-4166	320	4	accuracy	accuracy	NOUN
cana-4166	320	5	,	,	PUNCT
cana-4166	320	6	0.89	0.89	NUM
cana-4166	320	7	precision	precision	NOUN
cana-4166	320	8	,	,	PUNCT
cana-4166	320	9	0.9	0.9	NUM
cana-4166	320	10	recall	recall	NOUN
cana-4166	320	11	,	,	PUNCT
cana-4166	320	12	and	and	CCONJ
cana-4166	320	13	0.9	0.9	NUM
cana-4166	320	14	f1	f1	NOUN
cana-4166	320	15	-	-	PUNCT
cana-4166	320	16	score	score	NOUN
cana-4166	320	17	.	.	PUNCT
cana-4166	321	1	cnn	cnn	PROPN
cana-4166	321	2	has	have	VERB
cana-4166	321	3	lower	low	ADJ
cana-4166	321	4	metrics	metric	NOUN
cana-4166	321	5	than	than	ADP
cana-4166	321	6	qcnn	qcnn	PROPN
cana-4166	321	7	,	,	PUNCT
cana-4166	321	8	but	but	CCONJ
cana-4166	321	9	its	its	PRON
cana-4166	321	10	values	value	NOUN
cana-4166	321	11	are	be	AUX
cana-4166	321	12	high	high	ADJ
cana-4166	321	13	,	,	PUNCT
cana-4166	321	14	indicating	indicate	VERB
cana-4166	321	15	a	a	DET
cana-4166	321	16	good	good	ADJ
cana-4166	321	17	model	model	NOUN
cana-4166	321	18	.	.	PUNCT
cana-4166	322	1	cnn	cnn	PROPN
cana-4166	322	2	's	's	PART
cana-4166	322	3	balanced	balanced	ADJ
cana-4166	322	4	precision	precision	NOUN
cana-4166	322	5	and	and	CCONJ
cana-4166	322	6	recall	recall	NOUN
cana-4166	322	7	show	show	VERB
cana-4166	322	8	consistent	consistent	ADJ
cana-4166	322	9	performance	performance	NOUN
cana-4166	322	10	,	,	PUNCT
cana-4166	322	11	although	although	SCONJ
cana-4166	322	12	qcnn	qcnn	PROPN
cana-4166	322	13	may	may	AUX
cana-4166	322	14	be	be	AUX
cana-4166	322	15	more	more	ADV
cana-4166	322	16	generalized	generalized	ADJ
cana-4166	322	17	and	and	CCONJ
cana-4166	322	18	robust	robust	ADJ
cana-4166	322	19	.	.	PUNCT
cana-4166	323	1	lstm	lstm	NOUN
cana-4166	323	2	has	have	VERB
cana-4166	323	3	0.92	0.92	NUM
cana-4166	323	4	accuracy	accuracy	NOUN
cana-4166	323	5	,	,	PUNCT
cana-4166	323	6	0.93	0.93	NUM
cana-4166	323	7	precision	precision	NOUN
cana-4166	323	8	,	,	PUNCT
cana-4166	323	9	0.92	0.92	NUM
cana-4166	323	10	recall	recall	NOUN
cana-4166	323	11	,	,	PUNCT
cana-4166	323	12	and	and	CCONJ
cana-4166	323	13	0.91	0.91	NUM
cana-4166	323	14	f1	f1	NOUN
cana-4166	323	15	-	-	PUNCT
cana-4166	323	16	score	score	NOUN
cana-4166	323	17	.	.	PUNCT
cana-4166	324	1	precision	precision	NOUN
cana-4166	324	2	and	and	CCONJ
cana-4166	324	3	recall	recall	NOUN
cana-4166	324	4	are	be	AUX
cana-4166	324	5	better	well	ADJ
cana-4166	324	6	than	than	ADP
cana-4166	324	7	cnn	cnn	PROPN
cana-4166	324	8	,	,	PUNCT
cana-4166	324	9	demonstrating	demonstrate	VERB
cana-4166	324	10	this	this	DET
cana-4166	324	11	model	model	NOUN
cana-4166	324	12	can	can	AUX
cana-4166	324	13	capture	capture	VERB
cana-4166	324	14	sequential	sequential	ADJ
cana-4166	324	15	data	datum	NOUN
cana-4166	324	16	dependencies	dependency	NOUN
cana-4166	324	17	.	.	PUNCT
cana-4166	325	1	lstm	lstm	PROPN
cana-4166	325	2	's	's	PART
cana-4166	325	3	well	well	ADV
cana-4166	325	4	-	-	PUNCT
cana-4166	325	5	rounded	rounded	ADJ
cana-4166	325	6	performance	performance	NOUN
cana-4166	325	7	and	and	CCONJ
cana-4166	325	8	slightly	slightly	ADV
cana-4166	325	9	higher	high	ADJ
cana-4166	325	10	precision	precision	NOUN
cana-4166	325	11	make	make	VERB
cana-4166	325	12	it	it	PRON
cana-4166	325	13	suited	suit	VERB
cana-4166	325	14	for	for	ADP
cana-4166	325	15	sequence	sequence	NOUN
cana-4166	325	16	order	order	NOUN
cana-4166	325	17	problems	problem	NOUN
cana-4166	325	18	.	.	PUNCT
cana-4166	326	1	with	with	ADP
cana-4166	326	2	0.89	0.89	NUM
cana-4166	326	3	accuracies	accuracy	NOUN
cana-4166	326	4	,	,	PUNCT
cana-4166	326	5	0.9	0.9	NUM
cana-4166	326	6	precision	precision	NOUN
cana-4166	326	7	,	,	PUNCT
cana-4166	326	8	0.9	0.9	NUM
cana-4166	326	9	recall	recall	NOUN
cana-4166	326	10	,	,	PUNCT
cana-4166	326	11	and	and	CCONJ
cana-4166	326	12	0.89	0.89	NUM
cana-4166	326	13	f1	f1	NOUN
cana-4166	326	14	-	-	PUNCT
cana-4166	326	15	score	score	NOUN
cana-4166	326	16	,	,	PUNCT
cana-4166	326	17	bi	bi	ADJ
cana-4166	326	18	-	-	ADJ
cana-4166	326	19	lstm	lstm	ADJ
cana-4166	326	20	scores	score	NOUN
cana-4166	326	21	lowest	low	ADJ
cana-4166	326	22	in	in	ADP
cana-4166	326	23	the	the	DET
cana-4166	326	24	table	table	NOUN
cana-4166	326	25	.	.	PUNCT
cana-4166	327	1	bi	bi	ADJ
cana-4166	327	2	-	-	NOUN
cana-4166	327	3	lstm	lstm	NOUN
cana-4166	327	4	has	have	VERB
cana-4166	327	5	decent	decent	ADJ
cana-4166	327	6	precision	precision	NOUN
cana-4166	327	7	and	and	CCONJ
cana-4166	327	8	recall	recall	NOUN
cana-4166	327	9	but	but	CCONJ
cana-4166	327	10	lower	low	ADJ
cana-4166	327	11	performance	performance	NOUN
cana-4166	327	12	than	than	ADP
cana-4166	327	13	other	other	ADJ
cana-4166	327	14	models	model	NOUN
cana-4166	327	15	.	.	PUNCT
cana-4166	328	1	this	this	PRON
cana-4166	328	2	may	may	AUX
cana-4166	328	3	indicate	indicate	VERB
cana-4166	328	4	that	that	SCONJ
cana-4166	328	5	bidirectionality	bidirectionality	NOUN
cana-4166	328	6	does	do	AUX
cana-4166	328	7	not	not	PART
cana-4166	328	8	improve	improve	VERB
cana-4166	328	9	this	this	DET
cana-4166	328	10	task	task	NOUN
cana-4166	328	11	,	,	PUNCT
cana-4166	328	12	potentially	potentially	ADV
cana-4166	328	13	due	due	ADJ
cana-4166	328	14	to	to	ADP
cana-4166	328	15	limited	limit	VERB
cana-4166	328	16	future	future	ADJ
cana-4166	328	17	context	context	NOUN
cana-4166	328	18	information	information	NOUN
cana-4166	328	19	relevance	relevance	NOUN
cana-4166	328	20	.	.	PUNCT
cana-4166	329	1	the	the	DET
cana-4166	329	2	best	good	ADJ
cana-4166	329	3	model	model	NOUN
cana-4166	329	4	for	for	ADP
cana-4166	329	5	the	the	DET
cana-4166	329	6	task	task	NOUN
cana-4166	329	7	is	be	AUX
cana-4166	329	8	qcnn	qcnn	VERB
cana-4166	329	9	with	with	ADP
cana-4166	329	10	bottleneck	bottleneck	NOUN
cana-4166	329	11	,	,	PUNCT
cana-4166	329	12	while	while	SCONJ
cana-4166	329	13	bi	bi	ADJ
cana-4166	329	14	-	-	ADJ
cana-4166	329	15	lstm	lstm	ADJ
cana-4166	329	16	is	be	AUX
cana-4166	329	17	the	the	DET
cana-4166	329	18	least	least	ADJ
cana-4166	329	19	effective	effective	ADJ
cana-4166	329	20	of	of	ADP
cana-4166	329	21	the	the	DET
cana-4166	329	22	four	four	NUM
cana-4166	329	23	architectures	architecture	NOUN
cana-4166	329	24	.	.	PUNCT
cana-4166	330	1	this	this	DET
cana-4166	330	2	comparison	comparison	NOUN
cana-4166	330	3	shows	show	VERB
cana-4166	330	4	that	that	SCONJ
cana-4166	330	5	qcnn	qcnn	PROPN
cana-4166	330	6	and	and	CCONJ
cana-4166	330	7	lstm	lstm	NOUN
cana-4166	330	8	are	be	AUX
cana-4166	330	9	best	good	ADJ
cana-4166	330	10	for	for	ADP
cana-4166	330	11	different	different	ADJ
cana-4166	330	12	tasks	task	NOUN
cana-4166	330	13	.	.	PUNCT
cana-4166	331	1	table	table	NOUN
cana-4166	331	2	1	1	NUM
cana-4166	331	3	:	:	PUNCT
cana-4166	331	4	performance	performance	NOUN
cana-4166	331	5	metrics	metric	NOUN
cana-4166	331	6	of	of	ADP
cana-4166	331	7	neural	neural	ADJ
cana-4166	331	8	network	network	NOUN
cana-4166	331	9	models	model	NOUN
cana-4166	331	10	model	model	NOUN
cana-4166	331	11	accuracy	accuracy	NOUN
cana-4166	331	12	precision	precision	NOUN
cana-4166	331	13	recall	recall	VERB
cana-4166	331	14	f1	f1	NOUN
cana-4166	331	15	-	-	PUNCT
cana-4166	331	16	score	score	NOUN
cana-4166	331	17	qcnn	qcnn	NOUN
cana-4166	331	18	with	with	ADP
cana-4166	331	19	bottleneck	bottleneck	NOUN
cana-4166	331	20	0.98	0.98	NUM
cana-4166	331	21	0.99	0.99	NUM
cana-4166	331	22	0.98	0.98	NUM
cana-4166	331	23	0.99	0.99	NUM
cana-4166	331	24	cnn	cnn	NOUN
cana-4166	331	25	0.90	0.90	NUM
cana-4166	331	26	0.89	0.89	NUM
cana-4166	331	27	0.90	0.90	NUM
cana-4166	331	28	0.90	0.90	NUM
cana-4166	331	29	lstm	lstm	NOUN
cana-4166	331	30	0.92	0.92	NUM
cana-4166	331	31	0.93	0.93	NUM
cana-4166	331	32	0.92	0.92	NUM
cana-4166	331	33	0.91	0.91	NUM
cana-4166	331	34	bi	bi	NOUN
cana-4166	331	35	-	-	NOUN
cana-4166	331	36	lstm	lstm	ADJ
cana-4166	331	37	0.89	0.89	NUM
cana-4166	331	38	0.90	0.90	NUM
cana-4166	331	39	0.90	0.90	NUM
cana-4166	331	40	0.89	0.89	NUM
cana-4166	331	41	table	table	NOUN
cana-4166	331	42	1	1	NUM
cana-4166	331	43	summarizes	summarize	NOUN
cana-4166	331	44	the	the	DET
cana-4166	331	45	performance	performance	NOUN
cana-4166	331	46	metrics	metric	NOUN
cana-4166	331	47	for	for	ADP
cana-4166	331	48	four	four	NUM
cana-4166	331	49	architectures	architecture	NOUN
cana-4166	331	50	:	:	PUNCT
cana-4166	331	51	qcnn	qcnn	PROPN
cana-4166	331	52	with	with	ADP
cana-4166	331	53	bottleneck	bottleneck	NOUN
cana-4166	331	54	,	,	PUNCT
cana-4166	331	55	cnn	cnn	PROPN
cana-4166	331	56	,	,	PUNCT
cana-4166	331	57	lstm	lstm	ADJ
cana-4166	331	58	,	,	PUNCT
cana-4166	331	59	and	and	CCONJ
cana-4166	331	60	bi	bi	NOUN
cana-4166	331	61	-	-	NOUN
cana-4166	331	62	lstm	lstm	ADJ
cana-4166	331	63	,	,	PUNCT
cana-4166	331	64	and	and	CCONJ
cana-4166	331	65	benchmarked	benchmarke	VERB
cana-4166	331	66	with	with	ADP
cana-4166	331	67	accuracy	accuracy	NOUN
cana-4166	331	68	,	,	PUNCT
cana-4166	331	69	precision	precision	NOUN
cana-4166	331	70	,	,	PUNCT
cana-4166	331	71	recall	recall	NOUN
cana-4166	331	72	,	,	PUNCT
cana-4166	331	73	and	and	CCONJ
cana-4166	331	74	f1	f1	NOUN
cana-4166	331	75	-	-	PUNCT
cana-4166	331	76	score	score	NOUN
cana-4166	331	77	.	.	PUNCT
cana-4166	332	1	qcnn	qcnn	PROPN
cana-4166	332	2	with	with	ADP
cana-4166	332	3	bottleneck	bottleneck	NOUN
cana-4166	332	4	shows	show	VERB
cana-4166	332	5	excellent	excellent	ADJ
cana-4166	332	6	performance	performance	NOUN
cana-4166	332	7	than	than	ADP
cana-4166	332	8	all	all	DET
cana-4166	332	9	other	other	ADJ
cana-4166	332	10	designs	design	NOUN
cana-4166	332	11	,	,	PUNCT
cana-4166	332	12	which	which	PRON
cana-4166	332	13	,	,	PUNCT
cana-4166	332	14	at	at	ADP
cana-4166	332	15	an	an	DET
cana-4166	332	16	f1	f1	NOUN
cana-4166	332	17	-	-	PUNCT
cana-4166	332	18	score	score	NOUN
cana-4166	332	19	of	of	ADP
cana-4166	332	20	0.99	0.99	NUM
cana-4166	332	21	,	,	PUNCT
cana-4166	332	22	signifies	signify	VERB
cana-4166	332	23	an	an	DET
cana-4166	332	24	excellent	excellent	ADJ
cana-4166	332	25	balance	balance	NOUN
cana-4166	332	26	between	between	ADP
cana-4166	332	27	precision	precision	NOUN
cana-4166	332	28	and	and	CCONJ
cana-4166	332	29	recall	recall	NOUN
cana-4166	332	30	.	.	PUNCT
cana-4166	333	1	after	after	SCONJ
cana-4166	333	2	that	that	PRON
cana-4166	333	3	follows	follow	VERB
cana-4166	333	4	the	the	DET
cana-4166	333	5	model	model	NOUN
cana-4166	333	6	lstm	lstm	NOUN
cana-4166	333	7	that	that	PRON
cana-4166	333	8	also	also	ADV
cana-4166	333	9	shows	show	VERB
cana-4166	333	10	a	a	DET
cana-4166	333	11	very	very	ADV
cana-4166	333	12	good	good	ADJ
cana-4166	333	13	f1	f1	NOUN
cana-4166	333	14	-	-	PUNCT
cana-4166	333	15	score	score	NOUN
cana-4166	333	16	of	of	ADP
cana-4166	333	17	0.91	0.91	NUM
cana-4166	333	18	.	.	PUNCT
cana-4166	334	1	the	the	DET
cana-4166	334	2	metrics	metric	NOUN
cana-4166	334	3	for	for	ADP
cana-4166	334	4	the	the	DET
cana-4166	334	5	cnn	cnn	PROPN
cana-4166	334	6	and	and	CCONJ
cana-4166	334	7	bi	bi	ADJ
cana-4166	334	8	-	-	ADJ
cana-4166	334	9	lstm	lstm	ADJ
cana-4166	334	10	models	model	NOUN
cana-4166	334	11	are	be	AUX
cana-4166	334	12	relatively	relatively	ADV
cana-4166	334	13	inferior	inferior	ADJ
cana-4166	334	14	,	,	PUNCT
cana-4166	334	15	recording	recording	NOUN
cana-4166	334	16	f1	f1	NOUN
cana-4166	334	17	scores	score	NOUN
cana-4166	334	18	of	of	ADP
cana-4166	334	19	0.90	0.90	NUM
cana-4166	334	20	and	and	CCONJ
cana-4166	334	21	0.89	0.89	NUM
cana-4166	334	22	,	,	PUNCT
cana-4166	334	23	respectively	respectively	ADV
cana-4166	334	24	.	.	PUNCT
cana-4166	335	1	this	this	PRON
cana-4166	335	2	implies	imply	VERB
cana-4166	335	3	that	that	SCONJ
cana-4166	335	4	,	,	PUNCT
cana-4166	335	5	although	although	SCONJ
cana-4166	335	6	they	they	PRON
cana-4166	335	7	show	show	VERB
cana-4166	335	8	satisfactory	satisfactory	ADJ
cana-4166	335	9	performance	performance	NOUN
cana-4166	335	10	,	,	PUNCT
cana-4166	335	11	their	their	PRON
cana-4166	335	12	appropriateness	appropriateness	NOUN
cana-4166	335	13	for	for	ADP
cana-4166	335	14	this	this	DET
cana-4166	335	15	particular	particular	ADJ
cana-4166	335	16	task	task	NOUN
cana-4166	335	17	is	be	AUX
cana-4166	335	18	inferior	inferior	ADJ
cana-4166	335	19	when	when	SCONJ
cana-4166	335	20	compared	compare	VERB
cana-4166	335	21	with	with	ADP
cana-4166	335	22	qcnn	qcnn	PROPN
cana-4166	335	23	and	and	CCONJ
cana-4166	335	24	lstm	lstm	PROPN
cana-4166	335	25	.	.	PUNCT
cana-4166	336	1	in	in	ADP
cana-4166	336	2	summary	summary	NOUN
cana-4166	336	3	,	,	PUNCT
cana-4166	336	4	the	the	DET
cana-4166	336	5	qcnn	qcnn	PROPN
cana-4166	336	6	with	with	ADP
cana-4166	336	7	bottleneck	bottleneck	NOUN
cana-4166	336	8	emerges	emerge	VERB
cana-4166	336	9	as	as	ADP
cana-4166	336	10	the	the	DET
cana-4166	336	11	most	most	ADV
cana-4166	336	12	reliable	reliable	ADJ
cana-4166	336	13	model	model	NOUN
cana-4166	336	14	for	for	ADP
cana-4166	336	15	this	this	DET
cana-4166	336	16	particular	particular	ADJ
cana-4166	336	17	application	application	NOUN
cana-4166	336	18	,	,	PUNCT
cana-4166	336	19	whereas	whereas	SCONJ
cana-4166	336	20	bi	bi	ADJ
cana-4166	336	21	-	-	ADJ
cana-4166	336	22	lstm	lstm	ADJ
cana-4166	336	23	is	be	AUX
cana-4166	336	24	found	find	VERB
cana-4166	336	25	to	to	PART
cana-4166	336	26	be	be	AUX
cana-4166	336	27	the	the	DET
cana-4166	336	28	least	least	ADV
cana-4166	336	29	effective	effective	ADJ
cana-4166	336	30	.	.	PUNCT
cana-4166	337	1	vi	vi	NOUN
cana-4166	337	2	discussion	discussion	NOUN
cana-4166	337	3	and	and	CCONJ
cana-4166	337	4	conclusion	conclusion	NOUN
cana-4166	337	5	complex	complex	ADJ
cana-4166	337	6	ddos	ddo	NOUN
cana-4166	337	7	detection	detection	NOUN
cana-4166	337	8	in	in	ADP
cana-4166	337	9	5g	5g	NUM
cana-4166	337	10	-	-	PUNCT
cana-4166	337	11	enabled	enable	VERB
cana-4166	337	12	cloud	cloud	NOUN
cana-4166	337	13	computing	computing	NOUN
cana-4166	337	14	settings	setting	NOUN
cana-4166	337	15	requires	require	VERB
cana-4166	337	16	robust	robust	ADJ
cana-4166	337	17	models	model	NOUN
cana-4166	337	18	that	that	PRON
cana-4166	337	19	can	can	AUX
cana-4166	337	20	manage	manage	VERB
cana-4166	337	21	high	high	ADJ
cana-4166	337	22	-	-	PUNCT
cana-4166	337	23	volume	volume	NOUN
cana-4166	337	24	,	,	PUNCT
cana-4166	337	25	high	high	ADJ
cana-4166	337	26	-	-	PUNCT
cana-4166	337	27	speed	speed	NOUN
cana-4166	337	28	data	datum	NOUN
cana-4166	337	29	in	in	ADP
cana-4166	337	30	real	real	ADJ
cana-4166	337	31	time	time	NOUN
cana-4166	337	32	.	.	PUNCT
cana-4166	338	1	this	this	DET
cana-4166	338	2	study	study	NOUN
cana-4166	338	3	compares	compare	VERB
cana-4166	338	4	four	four	NUM
cana-4166	338	5	architectures	architecture	NOUN
cana-4166	338	6	—	—	PUNCT
cana-4166	338	7	qcnn	qcnn	PROPN
cana-4166	338	8	,	,	PUNCT
cana-4166	338	9	cnn	cnn	PROPN
cana-4166	338	10	,	,	PUNCT
cana-4166	338	11	lstm	lstm	ADJ
cana-4166	338	12	,	,	PUNCT
cana-4166	338	13	and	and	CCONJ
cana-4166	338	14	bi	bi	NOUN
cana-4166	338	15	-	-	ADJ
cana-4166	338	16	lstm	lstm	ADJ
cana-4166	338	17	—	—	PUNCT
cana-4166	338	18	to	to	PART
cana-4166	338	19	find	find	VERB
cana-4166	338	20	the	the	DET
cana-4166	338	21	best	good	ADJ
cana-4166	338	22	ddos	ddos	NOUN
cana-4166	338	23	detection	detection	NOUN
cana-4166	338	24	model	model	NOUN
cana-4166	338	25	in	in	ADP
cana-4166	338	26	advanced	advanced	ADJ
cana-4166	338	27	frameworks	framework	NOUN
cana-4166	338	28	.	.	PUNCT
cana-4166	339	1	due	due	ADP
cana-4166	339	2	to	to	ADP
cana-4166	339	3	its	its	PRON
cana-4166	339	4	bottleneck	bottleneck	NOUN
cana-4166	339	5	and	and	CCONJ
cana-4166	339	6	attention	attention	NOUN
cana-4166	339	7	mechanism	mechanism	NOUN
cana-4166	339	8	,	,	PUNCT
cana-4166	339	9	qcnn	qcnn	PROPN
cana-4166	339	10	has	have	VERB
cana-4166	339	11	a	a	DET
cana-4166	339	12	strong	strong	ADJ
cana-4166	339	13	diagonal	diagonal	ADJ
cana-4166	339	14	and	and	CCONJ
cana-4166	339	15	low	low	ADJ
cana-4166	339	16	misclassification	misclassification	NOUN
cana-4166	339	17	,	,	PUNCT
cana-4166	339	18	making	make	VERB
cana-4166	339	19	it	it	PRON
cana-4166	339	20	the	the	DET
cana-4166	339	21	best	good	ADJ
cana-4166	339	22	model	model	NOUN
cana-4166	339	23	for	for	ADP
cana-4166	339	24	prioritizing	prioritize	VERB
cana-4166	339	25	critical	critical	ADJ
cana-4166	339	26	characteristics	characteristic	NOUN
cana-4166	339	27	in	in	ADP
cana-4166	339	28	dynamic	dynamic	ADJ
cana-4166	339	29	5	5	NUM
cana-4166	339	30	g	g	NOUN
cana-4166	339	31	network	network	NOUN
cana-4166	339	32	data	datum	NOUN
cana-4166	339	33	.	.	PUNCT
cana-4166	340	1	cnn	cnn	PROPN
cana-4166	340	2	had	have	VERB
cana-4166	340	3	good	good	ADJ
cana-4166	340	4	classification	classification	NOUN
cana-4166	340	5	accuracy	accuracy	NOUN
cana-4166	340	6	but	but	CCONJ
cana-4166	340	7	a	a	DET
cana-4166	340	8	slightly	slightly	ADV
cana-4166	340	9	higher	high	ADJ
cana-4166	340	10	misclassification	misclassification	NOUN
cana-4166	340	11	rate	rate	NOUN
cana-4166	340	12	than	than	ADP
cana-4166	340	13	qcnn	qcnn	PROPN
cana-4166	340	14	,	,	PUNCT
cana-4166	340	15	presumably	presumably	ADV
cana-4166	340	16	due	due	ADP
cana-4166	340	17	to	to	ADP
cana-4166	340	18	its	its	PRON
cana-4166	340	19	lack	lack	NOUN
cana-4166	340	20	of	of	ADP
cana-4166	340	21	temporal	temporal	ADJ
cana-4166	340	22	analysis	analysis	NOUN
cana-4166	340	23	.	.	PUNCT
cana-4166	341	1	lstm	lstm	NOUN
cana-4166	341	2	and	and	CCONJ
cana-4166	341	3	bi	bi	NOUN
cana-4166	341	4	-	-	ADJ
cana-4166	341	5	lstm	lstm	ADJ
cana-4166	341	6	were	be	AUX
cana-4166	341	7	misclassified	misclassifie	VERB
cana-4166	341	8	more	more	ADJ
cana-4166	341	9	,	,	PUNCT
cana-4166	341	10	with	with	ADP
cana-4166	341	11	bi	bi	NOUN
cana-4166	341	12	-	-	ADJ
cana-4166	341	13	lstm	lstm	ADJ
cana-4166	341	14	having	have	VERB
cana-4166	341	15	the	the	DET
cana-4166	341	16	greatest	great	ADJ
cana-4166	341	17	off	off	ADP
cana-4166	341	18	-	-	PUNCT
cana-4166	341	19	diagonal	diagonal	ADJ
cana-4166	341	20	values	value	NOUN
cana-4166	341	21	,	,	PUNCT
cana-4166	341	22	suggesting	suggest	VERB
cana-4166	341	23	bidirectionality	bidirectionality	NOUN
cana-4166	341	24	added	add	VERB
cana-4166	341	25	complexity	complexity	NOUN
cana-4166	341	26	without	without	ADP
cana-4166	341	27	improving	improve	VERB
cana-4166	341	28	communications	communication	NOUN
cana-4166	341	29	on	on	ADP
cana-4166	341	30	applied	apply	VERB
cana-4166	341	31	nonlinear	nonlinear	ADJ
cana-4166	341	32	analysis	analysis	NOUN
cana-4166	341	33	issn	issn	NOUN
cana-4166	341	34	:	:	PUNCT
cana-4166	341	35	1074	1074	NUM
cana-4166	341	36	-	-	PUNCT
cana-4166	341	37	133x	133x	NUM
cana-4166	341	38	vol	vol	NOUN
cana-4166	341	39	32	32	NUM
cana-4166	341	40	no	no	NOUN
cana-4166	341	41	.	.	PUNCT
cana-4166	342	1	9s	9s	NUM
cana-4166	342	2	(	(	PUNCT
cana-4166	342	3	2025	2025	NUM
cana-4166	342	4	)	)	PUNCT
cana-4166	342	5	https://internationalpubls.com	https://internationalpubls.com	X
cana-4166	342	6	1424	1424	NUM
cana-4166	342	7	ddos	ddo	NOUN
cana-4166	342	8	detection	detection	NOUN
cana-4166	342	9	curve	curve	NOUN
cana-4166	342	10	study	study	NOUN
cana-4166	342	11	showed	show	VERB
cana-4166	342	12	qcnn	qcnn	PROPN
cana-4166	342	13	's	's	PART
cana-4166	342	14	persistent	persistent	ADJ
cana-4166	342	15	high	high	ADJ
cana-4166	342	16	auc	auc	NOUN
cana-4166	342	17	scores	score	NOUN
cana-4166	342	18	across	across	ADP
cana-4166	342	19	classes	class	NOUN
cana-4166	342	20	,	,	PUNCT
cana-4166	342	21	demonstrating	demonstrate	VERB
cana-4166	342	22	its	its	PRON
cana-4166	342	23	adaptability	adaptability	NOUN
cana-4166	342	24	to	to	ADP
cana-4166	342	25	varied	varied	ADJ
cana-4166	342	26	ddos	ddos	NOUN
cana-4166	342	27	attack	attack	NOUN
cana-4166	342	28	patterns	pattern	NOUN
cana-4166	342	29	needed	need	VERB
cana-4166	342	30	for	for	ADP
cana-4166	342	31	real	real	ADJ
cana-4166	342	32	-	-	PUNCT
cana-4166	342	33	time	time	NOUN
cana-4166	342	34	5	5	NUM
cana-4166	342	35	g	g	NOUN
cana-4166	342	36	cloud	cloud	NOUN
cana-4166	342	37	detection	detection	NOUN
cana-4166	342	38	.	.	PUNCT
cana-4166	343	1	cnn	cnn	PROPN
cana-4166	343	2	's	's	PART
cana-4166	343	3	auc	auc	NOUN
cana-4166	343	4	ratings	rating	NOUN
cana-4166	343	5	were	be	AUX
cana-4166	343	6	slightly	slightly	ADV
cana-4166	343	7	lower	low	ADJ
cana-4166	343	8	,	,	PUNCT
cana-4166	343	9	reflecting	reflect	VERB
cana-4166	343	10	its	its	PRON
cana-4166	343	11	balanced	balanced	ADJ
cana-4166	343	12	but	but	CCONJ
cana-4166	343	13	less	less	ADV
cana-4166	343	14	precise	precise	ADJ
cana-4166	343	15	classification	classification	NOUN
cana-4166	343	16	.	.	PUNCT
cana-4166	344	1	lstm	lstm	NOUN
cana-4166	344	2	and	and	CCONJ
cana-4166	344	3	bi	bi	NOUN
cana-4166	344	4	-	-	ADJ
cana-4166	344	5	lstm	lstm	NOUN
cana-4166	344	6	have	have	VERB
cana-4166	344	7	inconsistent	inconsistent	ADJ
cana-4166	344	8	auc	auc	NOUN
cana-4166	344	9	ratings	rating	NOUN
cana-4166	344	10	across	across	ADP
cana-4166	344	11	traffic	traffic	NOUN
cana-4166	344	12	classes	class	NOUN
cana-4166	344	13	,	,	PUNCT
cana-4166	344	14	limiting	limit	VERB
cana-4166	344	15	complicated	complicated	ADJ
cana-4166	344	16	,	,	PUNCT
cana-4166	344	17	multi	multi	ADJ
cana-4166	344	18	-	-	ADJ
cana-4166	344	19	class	class	ADJ
cana-4166	344	20	ddos	ddo	NOUN
cana-4166	344	21	detection	detection	NOUN
cana-4166	344	22	.	.	PUNCT
cana-4166	345	1	according	accord	VERB
cana-4166	345	2	to	to	ADP
cana-4166	345	3	the	the	DET
cana-4166	345	4	performance	performance	NOUN
cana-4166	345	5	metrics	metric	NOUN
cana-4166	345	6	comparison	comparison	NOUN
cana-4166	345	7	,	,	PUNCT
cana-4166	345	8	qcnn	qcnn	PROPN
cana-4166	345	9	had	have	VERB
cana-4166	345	10	the	the	DET
cana-4166	345	11	highest	high	ADJ
cana-4166	345	12	accuracy	accuracy	NOUN
cana-4166	345	13	,	,	PUNCT
cana-4166	345	14	precision	precision	NOUN
cana-4166	345	15	,	,	PUNCT
cana-4166	345	16	recall	recall	NOUN
cana-4166	345	17	,	,	PUNCT
cana-4166	345	18	and	and	CCONJ
cana-4166	345	19	f1	f1	NOUN
cana-4166	345	20	-	-	PUNCT
cana-4166	345	21	score	score	NOUN
cana-4166	345	22	,	,	PUNCT
cana-4166	345	23	indicating	indicate	VERB
cana-4166	345	24	a	a	DET
cana-4166	345	25	good	good	ADJ
cana-4166	345	26	balance	balance	NOUN
cana-4166	345	27	between	between	ADP
cana-4166	345	28	detection	detection	NOUN
cana-4166	345	29	precision	precision	NOUN
cana-4166	345	30	and	and	CCONJ
cana-4166	345	31	recall	recall	NOUN
cana-4166	345	32	.	.	PUNCT
cana-4166	346	1	cnn	cnn	PROPN
cana-4166	346	2	followed	follow	VERB
cana-4166	346	3	with	with	ADP
cana-4166	346	4	lower	low	ADJ
cana-4166	346	5	precision	precision	NOUN
cana-4166	346	6	-	-	PUNCT
cana-4166	346	7	recall	recall	NOUN
cana-4166	346	8	values	value	NOUN
cana-4166	346	9	,	,	PUNCT
cana-4166	346	10	while	while	SCONJ
cana-4166	346	11	lstm	lstm	NOUN
cana-4166	346	12	gained	gain	VERB
cana-4166	346	13	some	some	DET
cana-4166	346	14	ground	ground	NOUN
cana-4166	346	15	due	due	ADP
cana-4166	346	16	to	to	ADP
cana-4166	346	17	sequential	sequential	ADJ
cana-4166	346	18	data	datum	NOUN
cana-4166	346	19	handling	handling	NOUN
cana-4166	346	20	.	.	PUNCT
cana-4166	347	1	bi	bi	ADJ
cana-4166	347	2	-	-	NOUN
cana-4166	347	3	lstm	lstm	NOUN
cana-4166	347	4	had	have	VERB
cana-4166	347	5	the	the	DET
cana-4166	347	6	lowest	low	ADJ
cana-4166	347	7	metrics	metric	NOUN
cana-4166	347	8	,	,	PUNCT
cana-4166	347	9	showing	show	VERB
cana-4166	347	10	that	that	SCONJ
cana-4166	347	11	bidirectionality	bidirectionality	NOUN
cana-4166	347	12	for	for	ADP
cana-4166	347	13	ddos	ddos	NOUN
cana-4166	347	14	detection	detection	NOUN
cana-4166	347	15	is	be	AUX
cana-4166	347	16	restricted	restrict	VERB
cana-4166	347	17	.	.	PUNCT
cana-4166	348	1	qcnn	qcnn	PROPN
cana-4166	348	2	was	be	AUX
cana-4166	348	3	the	the	DET
cana-4166	348	4	best	good	ADJ
cana-4166	348	5	choice	choice	NOUN
cana-4166	348	6	for	for	ADP
cana-4166	348	7	advanced	advanced	ADJ
cana-4166	348	8	ddos	ddos	NOUN
cana-4166	348	9	detection	detection	NOUN
cana-4166	348	10	in	in	ADP
cana-4166	348	11	5g	5g	NUM
cana-4166	348	12	-	-	PUNCT
cana-4166	348	13	enabled	enable	VERB
cana-4166	348	14	cloud	cloud	NOUN
cana-4166	348	15	frameworks	framework	NOUN
cana-4166	348	16	,	,	PUNCT
cana-4166	348	17	proving	prove	VERB
cana-4166	348	18	that	that	SCONJ
cana-4166	348	19	sophisticated	sophisticated	ADJ
cana-4166	348	20	model	model	NOUN
cana-4166	348	21	architectures	architecture	NOUN
cana-4166	348	22	are	be	AUX
cana-4166	348	23	essential	essential	ADJ
cana-4166	348	24	for	for	ADP
cana-4166	348	25	high	high	ADJ
cana-4166	348	26	detection	detection	NOUN
cana-4166	348	27	accuracy	accuracy	NOUN
cana-4166	348	28	and	and	CCONJ
cana-4166	348	29	system	system	NOUN
cana-4166	348	30	reliability	reliability	NOUN
cana-4166	348	31	.	.	PUNCT
cana-4166	349	1	the	the	DET
cana-4166	349	2	study	study	NOUN
cana-4166	349	3	concludes	conclude	VERB
cana-4166	349	4	that	that	SCONJ
cana-4166	349	5	5g	5g	NUM
cana-4166	349	6	-	-	PUNCT
cana-4166	349	7	enabled	enable	VERB
cana-4166	349	8	cloud	cloud	NOUN
cana-4166	349	9	settings	setting	NOUN
cana-4166	349	10	require	require	VERB
cana-4166	349	11	strong	strong	ADJ
cana-4166	349	12	,	,	PUNCT
cana-4166	349	13	high	high	ADV
cana-4166	349	14	-	-	PUNCT
cana-4166	349	15	performing	perform	VERB
cana-4166	349	16	deep	deep	ADJ
cana-4166	349	17	learning	learning	NOUN
cana-4166	349	18	models	model	NOUN
cana-4166	349	19	for	for	ADP
cana-4166	349	20	ddos	ddos	NOUN
cana-4166	349	21	detection	detection	NOUN
cana-4166	349	22	due	due	ADP
cana-4166	349	23	to	to	ADP
cana-4166	349	24	network	network	NOUN
cana-4166	349	25	traffic	traffic	NOUN
cana-4166	349	26	volume	volume	NOUN
cana-4166	349	27	,	,	PUNCT
cana-4166	349	28	speed	speed	NOUN
cana-4166	349	29	,	,	PUNCT
cana-4166	349	30	and	and	CCONJ
cana-4166	349	31	complexity	complexity	NOUN
cana-4166	349	32	.	.	PUNCT
cana-4166	350	1	the	the	DET
cana-4166	350	2	quantum	quantum	ADJ
cana-4166	350	3	convolutional	convolutional	ADJ
cana-4166	350	4	neural	neural	ADJ
cana-4166	350	5	network	network	NOUN
cana-4166	350	6	(	(	PUNCT
cana-4166	350	7	qcnn	qcnn	PROPN
cana-4166	350	8	)	)	PUNCT
cana-4166	350	9	with	with	ADP
cana-4166	350	10	bottleneck	bottleneck	NOUN
cana-4166	350	11	attention	attention	NOUN
cana-4166	350	12	mechanism	mechanism	NOUN
cana-4166	350	13	outperformed	outperform	VERB
cana-4166	350	14	the	the	DET
cana-4166	350	15	cnn	cnn	PROPN
cana-4166	350	16	,	,	PUNCT
cana-4166	350	17	lstm	lstm	ADJ
cana-4166	350	18	,	,	PUNCT
cana-4166	350	19	and	and	CCONJ
cana-4166	350	20	bi	bi	ADJ
cana-4166	350	21	-	-	ADJ
cana-4166	350	22	lstm	lstm	ADJ
cana-4166	350	23	models	model	NOUN
cana-4166	350	24	in	in	ADP
cana-4166	350	25	accuracy	accuracy	NOUN
cana-4166	350	26	,	,	PUNCT
cana-4166	350	27	precision	precision	NOUN
cana-4166	350	28	,	,	PUNCT
cana-4166	350	29	recall	recall	NOUN
cana-4166	350	30	,	,	PUNCT
cana-4166	350	31	and	and	CCONJ
cana-4166	350	32	f1	f1	NOUN
cana-4166	350	33	-	-	PUNCT
cana-4166	350	34	score	score	NOUN
cana-4166	350	35	.	.	PUNCT
cana-4166	351	1	qcnn	qcnn	PROPN
cana-4166	351	2	's	's	PART
cana-4166	351	3	strong	strong	ADJ
cana-4166	351	4	diagonal	diagonal	ADJ
cana-4166	351	5	in	in	ADP
cana-4166	351	6	the	the	DET
cana-4166	351	7	confusion	confusion	NOUN
cana-4166	351	8	matrix	matrix	NOUN
cana-4166	351	9	,	,	PUNCT
cana-4166	351	10	stable	stable	ADJ
cana-4166	351	11	high	high	ADJ
cana-4166	351	12	auc	auc	NOUN
cana-4166	351	13	scores	score	NOUN
cana-4166	351	14	,	,	PUNCT
cana-4166	351	15	and	and	CCONJ
cana-4166	351	16	few	few	ADJ
cana-4166	351	17	misclassifications	misclassification	NOUN
cana-4166	351	18	allow	allow	VERB
cana-4166	351	19	it	it	PRON
cana-4166	351	20	to	to	PART
cana-4166	351	21	accurately	accurately	ADV
cana-4166	351	22	distinguish	distinguish	VERB
cana-4166	351	23	between	between	ADP
cana-4166	351	24	regular	regular	ADJ
cana-4166	351	25	and	and	CCONJ
cana-4166	351	26	malicious	malicious	ADJ
cana-4166	351	27	traffic	traffic	NOUN
cana-4166	351	28	in	in	ADP
cana-4166	351	29	real	real	ADJ
cana-4166	351	30	time	time	NOUN
cana-4166	351	31	,	,	PUNCT
cana-4166	351	32	making	make	VERB
cana-4166	351	33	it	it	PRON
cana-4166	351	34	ideal	ideal	ADJ
cana-4166	351	35	for	for	ADP
cana-4166	351	36	5	5	NUM
cana-4166	351	37	g	g	NOUN
cana-4166	351	38	ddos	ddos	NOUN
cana-4166	351	39	detection	detection	NOUN
cana-4166	351	40	.	.	PUNCT
cana-4166	352	1	cnn	cnn	PROPN
cana-4166	352	2	was	be	AUX
cana-4166	352	3	also	also	ADV
cana-4166	352	4	reliable	reliable	ADJ
cana-4166	352	5	;	;	PUNCT
cana-4166	352	6	however	however	ADV
cana-4166	352	7	,	,	PUNCT
cana-4166	352	8	it	it	PRON
cana-4166	352	9	had	have	VERB
cana-4166	352	10	more	more	ADJ
cana-4166	352	11	misclassifications	misclassification	NOUN
cana-4166	352	12	and	and	CCONJ
cana-4166	352	13	less	less	ADV
cana-4166	352	14	temporal	temporal	ADJ
cana-4166	352	15	handling	handling	NOUN
cana-4166	352	16	than	than	ADP
cana-4166	352	17	qcnn	qcnn	PROPN
cana-4166	352	18	with	with	ADP
cana-4166	352	19	the	the	DET
cana-4166	352	20	bottleneck	bottleneck	NOUN
cana-4166	352	21	attention	attention	NOUN
cana-4166	352	22	mechanism	mechanism	NOUN
cana-4166	352	23	.	.	PUNCT
cana-4166	353	1	lstm	lstm	NOUN
cana-4166	353	2	and	and	CCONJ
cana-4166	353	3	bi	bi	ADJ
cana-4166	353	4	-	-	ADJ
cana-4166	353	5	lstm	lstm	ADJ
cana-4166	353	6	models	model	NOUN
cana-4166	353	7	use	use	VERB
cana-4166	353	8	sequential	sequential	ADJ
cana-4166	353	9	data	datum	NOUN
cana-4166	353	10	learning	learning	NOUN
cana-4166	353	11	;	;	PUNCT
cana-4166	353	12	however	however	ADV
cana-4166	353	13	,	,	PUNCT
cana-4166	353	14	bi	bi	NOUN
cana-4166	353	15	-	-	ADJ
cana-4166	353	16	lstm	lstm	NOUN
cana-4166	353	17	had	have	VERB
cana-4166	353	18	the	the	DET
cana-4166	353	19	highest	high	ADJ
cana-4166	353	20	off	off	ADP
cana-4166	353	21	-	-	PUNCT
cana-4166	353	22	diagonal	diagonal	ADJ
cana-4166	353	23	values	value	NOUN
cana-4166	353	24	,	,	PUNCT
cana-4166	353	25	demonstrating	demonstrate	VERB
cana-4166	353	26	that	that	SCONJ
cana-4166	353	27	bidirectionality	bidirectionality	NOUN
cana-4166	353	28	did	do	AUX
cana-4166	353	29	not	not	PART
cana-4166	353	30	improve	improve	VERB
cana-4166	353	31	detection	detection	NOUN
cana-4166	353	32	accuracy	accuracy	NOUN
cana-4166	353	33	.	.	PUNCT
cana-4166	354	1	advanced	advanced	ADJ
cana-4166	354	2	architectures	architecture	NOUN
cana-4166	354	3	like	like	ADP
cana-4166	354	4	qcnn	qcnn	PROPN
cana-4166	354	5	with	with	ADP
cana-4166	354	6	integrated	integrate	VERB
cana-4166	354	7	spatial	spatial	ADJ
cana-4166	354	8	-	-	PUNCT
cana-4166	354	9	temporal	temporal	ADJ
cana-4166	354	10	feature	feature	NOUN
cana-4166	354	11	extraction	extraction	NOUN
cana-4166	354	12	are	be	AUX
cana-4166	354	13	essential	essential	ADJ
cana-4166	354	14	for	for	ADP
cana-4166	354	15	effective	effective	ADJ
cana-4166	354	16	ddos	ddo	NOUN
cana-4166	354	17	detection	detection	NOUN
cana-4166	354	18	in	in	ADP
cana-4166	354	19	cloud	cloud	NOUN
cana-4166	354	20	-	-	PUNCT
cana-4166	354	21	based	base	VERB
cana-4166	354	22	5	5	NUM
cana-4166	354	23	g	g	NOUN
cana-4166	354	24	networks	network	NOUN
cana-4166	354	25	,	,	PUNCT
cana-4166	354	26	highlighting	highlight	VERB
cana-4166	354	27	the	the	DET
cana-4166	354	28	need	need	NOUN
cana-4166	354	29	for	for	ADP
cana-4166	354	30	specialized	specialized	ADJ
cana-4166	354	31	model	model	NOUN
cana-4166	354	32	architectures	architecture	NOUN
cana-4166	354	33	to	to	PART
cana-4166	354	34	quickly	quickly	ADV
cana-4166	354	35	and	and	CCONJ
cana-4166	354	36	accurately	accurately	ADV
cana-4166	354	37	identify	identify	VERB
cana-4166	354	38	threats	threat	NOUN
cana-4166	354	39	,	,	PUNCT
cana-4166	354	40	which	which	PRON
cana-4166	354	41	are	be	AUX
cana-4166	354	42	essential	essential	ADJ
cana-4166	354	43	for	for	ADP
cana-4166	354	44	cloud	cloud	NOUN
cana-4166	354	45	computing	computing	NOUN
cana-4166	354	46	integrity	integrity	NOUN
cana-4166	354	47	and	and	CCONJ
cana-4166	354	48	security	security	NOUN
cana-4166	354	49	.	.	PUNCT
cana-4166	355	1	future	future	ADJ
cana-4166	355	2	research	research	NOUN
cana-4166	355	3	could	could	AUX
cana-4166	355	4	optimize	optimize	VERB
cana-4166	355	5	qcnns	qcnns	NOUN
cana-4166	355	6	with	with	ADP
cana-4166	355	7	the	the	DET
cana-4166	355	8	bottleneck	bottleneck	NOUN
cana-4166	355	9	attention	attention	NOUN
cana-4166	355	10	mechanism	mechanism	NOUN
cana-4166	355	11	by	by	ADP
cana-4166	355	12	hybridizing	hybridize	VERB
cana-4166	355	13	with	with	ADP
cana-4166	355	14	other	other	ADJ
cana-4166	355	15	temporal	temporal	ADJ
cana-4166	355	16	models	model	NOUN
cana-4166	355	17	to	to	PART
cana-4166	355	18	improve	improve	VERB
cana-4166	355	19	ddos	ddos	NOUN
cana-4166	355	20	detection	detection	NOUN
cana-4166	355	21	accuracy	accuracy	NOUN
cana-4166	355	22	increasingly	increasingly	ADV
cana-4166	355	23	.	.	PUNCT
cana-4166	356	1	references	reference	NOUN
cana-4166	356	2	[	[	X
cana-4166	356	3	1	1	NUM
cana-4166	356	4	]	]	PUNCT
cana-4166	356	5	q.	q.	NOUN
cana-4166	356	6	ddos	ddos	PROPN
cana-4166	356	7	and	and	CCONJ
cana-4166	356	8	a.	a.	NOUN
cana-4166	356	9	report	report	NOUN
cana-4166	356	10	,	,	PUNCT
cana-4166	356	11	“	"	PUNCT
cana-4166	356	12	quarterly	quarterly	ADJ
cana-4166	356	13	ddos	ddos	NOUN
cana-4166	356	14	attack	attack	NOUN
cana-4166	356	15	report	report	NOUN
cana-4166	356	16	,	,	PUNCT
cana-4166	356	17	”	"	PUNCT
cana-4166	356	18	no	no	INTJ
cana-4166	356	19	.	.	PUNCT
cana-4166	357	1	may	may	AUX
cana-4166	357	2	,	,	PUNCT
cana-4166	357	3	pp	pp	ADV
cana-4166	357	4	.	.	PUNCT
cana-4166	358	1	1–14	1–14	PROPN
cana-4166	358	2	,	,	PUNCT
cana-4166	358	3	2021	2021	NUM
cana-4166	358	4	.	.	PUNCT
cana-4166	359	1	[	[	X
cana-4166	359	2	2	2	NUM
cana-4166	359	3	]	]	X
cana-4166	359	4	alert	alert	ADJ
cana-4166	359	5	codeta14	codeta14	NOUN
cana-4166	359	6	-	-	PUNCT
cana-4166	359	7	017a	017a	PROPN
cana-4166	359	8	,	,	PUNCT
cana-4166	359	9	“	"	PUNCT
cana-4166	359	10	udp	udp	NOUN
cana-4166	359	11	-	-	PUNCT
cana-4166	359	12	based	base	VERB
cana-4166	359	13	amplification	amplification	NOUN
cana-4166	359	14	attacks	attack	NOUN
cana-4166	359	15	,	,	PUNCT
cana-4166	359	16	”	"	PUNCT
cana-4166	359	17	americas	americas	PROPN
cana-4166	359	18	cyber	cyber	PROPN
cana-4166	359	19	defense	defense	PROPN
cana-4166	359	20	agency	agency	NOUN
cana-4166	359	21	,	,	PUNCT
cana-4166	359	22	2019	2019	NUM
cana-4166	359	23	.	.	PUNCT
cana-4166	360	1	[	[	X
cana-4166	360	2	3	3	X
cana-4166	360	3	]	]	PUNCT
cana-4166	360	4	l.	l.	PROPN
cana-4166	360	5	k.	k.	PROPN
cana-4166	360	6	ming	ming	PROPN
cana-4166	360	7	,	,	PUNCT
cana-4166	360	8	“	"	PUNCT
cana-4166	360	9	"	"	PUNCT
cana-4166	360	10	cybersecurity	cybersecurity	NOUN
cana-4166	360	11	in	in	ADP
cana-4166	360	12	the	the	DET
cana-4166	360	13	era	era	NOUN
cana-4166	360	14	of	of	ADP
cana-4166	360	15	5	5	NUM
cana-4166	360	16	g	g	NOUN
cana-4166	360	17	 	 	SPACE
cana-4166	360	18	:	:	PUNCT
cana-4166	360	19	threats	threat	NOUN
cana-4166	360	20	,	,	PUNCT
cana-4166	360	21	vulnerabilities	vulnerability	NOUN
cana-4166	360	22	,	,	PUNCT
cana-4166	360	23	and	and	CCONJ
cana-4166	360	24	solutions	solution	NOUN
cana-4166	360	25	"	"	PUNCT
cana-4166	360	26	,	,	PUNCT
cana-4166	360	27	”	"	PUNCT
cana-4166	360	28	vol	vol	NOUN
cana-4166	360	29	.	.	PROPN
cana-4166	361	1	1	1	NUM
cana-4166	361	2	,	,	PUNCT
cana-4166	361	3	no	no	INTJ
cana-4166	361	4	.	.	NOUN
cana-4166	361	5	1	1	NUM
cana-4166	361	6	,	,	PUNCT
cana-4166	361	7	pp	pp	ADJ
cana-4166	361	8	.	.	PUNCT
cana-4166	362	1	10–18	10–18	NUM
cana-4166	362	2	,	,	PUNCT
cana-4166	362	3	2023	2023	NUM
cana-4166	362	4	.	.	PUNCT
cana-4166	363	1	[	[	X
cana-4166	363	2	4	4	NUM
cana-4166	363	3	]	]	PUNCT
cana-4166	363	4	a.	a.	NOUN
cana-4166	363	5	j.	j.	PROPN
cana-4166	363	6	l.	l.	PROPN
cana-4166	363	7	giron	giron	PROPN
cana-4166	363	8	,	,	PUNCT
cana-4166	363	9	“	"	PUNCT
cana-4166	363	10	analysis	analysis	NOUN
cana-4166	363	11	of	of	ADP
cana-4166	363	12	machine	machine	NOUN
cana-4166	363	13	learning	learn	VERB
cana-4166	363	14	techniques	technique	NOUN
cana-4166	363	15	to	to	PART
cana-4166	363	16	secure	secure	VERB
cana-4166	363	17	5	5	NUM
cana-4166	363	18	g	g	NOUN
cana-4166	363	19	networks	network	NOUN
cana-4166	363	20	,	,	PUNCT
cana-4166	363	21	”	"	PUNCT
cana-4166	363	22	no	no	NOUN
cana-4166	363	23	.	.	PUNCT
cana-4166	364	1	february	february	PROPN
cana-4166	364	2	,	,	PUNCT
cana-4166	364	3	2021	2021	NUM
cana-4166	364	4	,	,	PUNCT
cana-4166	365	1	[	[	X
cana-4166	365	2	online	online	X
cana-4166	365	3	]	]	X
cana-4166	365	4	.	.	PUNCT
cana-4166	366	1	available	available	ADJ
cana-4166	366	2	:	:	PUNCT
cana-4166	366	3	https://era.library.ualberta.ca/items/2611fb76-8e70-47b3-8bf79ead4af041b6/download/db0c1703-4608-4ccc-b6f1-585275ad08e6	https://era.library.ualberta.ca/items/2611fb76-8e70-47b3-8bf79ead4af041b6/download/db0c1703-4608-4ccc-b6f1-585275ad08e6	NOUN
cana-4166	366	4	[	[	X
cana-4166	366	5	5	5	NUM
cana-4166	366	6	]	]	PUNCT
cana-4166	366	7	s.	s.	PROPN
cana-4166	366	8	sambangi	sambangi	PROPN
cana-4166	366	9	,	,	PUNCT
cana-4166	366	10	l.	l.	PROPN
cana-4166	366	11	gondi	gondi	PROPN
cana-4166	366	12	,	,	PUNCT
cana-4166	366	13	and	and	CCONJ
cana-4166	366	14	s.	s.	PROPN
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cana-4166	366	17	“	"	PUNCT
cana-4166	366	18	a	a	DET
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cana-4166	366	22	learning	learning	NOUN
cana-4166	366	23	model	model	NOUN
cana-4166	366	24	for	for	ADP
cana-4166	366	25	ddos	ddos	NOUN
cana-4166	366	26	attack	attack	NOUN
cana-4166	366	27	detection	detection	NOUN
cana-4166	366	28	in	in	ADP
cana-4166	366	29	modern	modern	ADJ
cana-4166	366	30	network	network	NOUN
cana-4166	366	31	environments	environment	NOUN
cana-4166	366	32	for	for	ADP
cana-4166	366	33	industry	industry	NOUN
cana-4166	366	34	4.0	4.0	NUM
cana-4166	366	35	,	,	PUNCT
cana-4166	366	36	”	"	PUNCT
cana-4166	366	37	comput	comput	NOUN
cana-4166	366	38	.	.	PUNCT
cana-4166	367	1	electr	electr	PROPN
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cana-4166	368	1	eng	eng	PROPN
cana-4166	368	2	.	.	PROPN
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cana-4166	368	5	.	.	PROPN
cana-4166	368	6	100	100	NUM
cana-4166	368	7	,	,	PUNCT
cana-4166	368	8	p.	p.	NOUN
cana-4166	368	9	107955	107955	NUM
cana-4166	368	10	,	,	PUNCT
cana-4166	368	11	2022	2022	NUM
cana-4166	368	12	,	,	PUNCT
cana-4166	368	13	doi	doi	NOUN
cana-4166	368	14	:	:	PUNCT
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cana-4166	368	16	.	.	PUNCT
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cana-4166	369	2	6	6	NUM
cana-4166	369	3	]	]	PUNCT
cana-4166	369	4	m.	m.	NOUN
cana-4166	369	5	a.	a.	PROPN
cana-4166	369	6	al	al	PROPN
cana-4166	369	7	-	-	PUNCT
cana-4166	369	8	shareeda	shareeda	NOUN
cana-4166	369	9	,	,	PUNCT
cana-4166	369	10	s.	s.	PROPN
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cana-4166	369	13	and	and	CCONJ
cana-4166	369	14	m.	m.	NOUN
cana-4166	369	15	a.	a.	PROPN
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cana-4166	369	25	on	on	ADP
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cana-4166	369	27	nonlinear	nonlinear	ADJ
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cana-4166	369	29	issn	issn	NOUN
cana-4166	369	30	:	:	PUNCT
cana-4166	369	31	1074	1074	NUM
cana-4166	369	32	-	-	PUNCT
cana-4166	369	33	133x	133x	NUM
cana-4166	369	34	vol	vol	NOUN
cana-4166	369	35	32	32	NUM
cana-4166	369	36	no	no	NOUN
cana-4166	369	37	.	.	PUNCT
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cana-4166	370	2	(	(	PUNCT
cana-4166	370	3	2025	2025	NUM
cana-4166	370	4	)	)	PUNCT
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cana-4166	370	8	and	and	CCONJ
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cana-4166	370	17	”	"	PUNCT
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cana-4166	372	2	.	.	PUNCT
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cana-4166	373	10	,	,	PUNCT
cana-4166	373	11	pp	pp	ADJ
cana-4166	373	12	.	.	PUNCT
cana-4166	374	1	930–939	930–939	NUM
cana-4166	374	2	,	,	PUNCT
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cana-4166	374	4	,	,	PUNCT
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cana-4166	374	9	eei.v12i2.4466	eei.v12i2.4466	PROPN
cana-4166	374	10	.	.	PUNCT
cana-4166	375	1	[	[	X
cana-4166	375	2	7	7	NUM
cana-4166	375	3	]	]	PUNCT
cana-4166	375	4	a.	a.	NOUN
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cana-4166	375	6	and	and	CCONJ
cana-4166	375	7	a.	a.	NOUN
cana-4166	375	8	aldribi	aldribi	NOUN
cana-4166	375	9	,	,	PUNCT
cana-4166	375	10	“	"	PUNCT
cana-4166	375	11	apply	apply	VERB
cana-4166	375	12	machine	machine	NOUN
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cana-4166	375	14	techniques	technique	NOUN
cana-4166	375	15	to	to	PART
cana-4166	375	16	detect	detect	VERB
cana-4166	375	17	malicious	malicious	ADJ
cana-4166	375	18	network	network	NOUN
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cana-4166	375	24	”	"	PUNCT
cana-4166	375	25	j.	j.	PROPN
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cana-4166	375	30	.	.	PROPN
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cana-4166	375	39	,	,	PUNCT
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cana-4166	375	41	,	,	PUNCT
cana-4166	375	42	doi	doi	NOUN
cana-4166	375	43	:	:	PUNCT
cana-4166	375	44	10.1186	10.1186	NUM
cana-4166	375	45	/	/	SYM
cana-4166	375	46	s40537	s40537	NOUN
cana-4166	375	47	-	-	PUNCT
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cana-4166	376	16	in	in	ADP
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cana-4166	376	20	machine	machine	NOUN
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cana-4166	376	23	,	,	PUNCT
cana-4166	376	24	”	"	PUNCT
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cana-4166	376	42	,	,	PUNCT
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cana-4166	376	44	:	:	PUNCT
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cana-4166	376	50	-	-	PUNCT
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cana-4166	377	23	”	"	PUNCT
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cana-4166	382	1	j.	j.	PROPN
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cana-4166	382	4	.	.	PUNCT
cana-4166	383	1	1–14	1–14	PROPN
cana-4166	383	2	,	,	PUNCT
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cana-4166	383	4	,	,	PUNCT
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cana-4166	388	1	networks	network	NOUN
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cana-4166	389	1	159–162	159–162	NUM
cana-4166	389	2	,	,	PUNCT
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cana-4166	389	4	,	,	PUNCT
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cana-4166	390	41	(	(	PUNCT
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cana-4166	391	1	1–60	1–60	PROPN
cana-4166	391	2	.	.	PUNCT
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cana-4166	392	6	.	.	PUNCT
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cana-4166	393	2	13	13	NUM
cana-4166	393	3	]	]	PUNCT
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cana-4166	393	22	,	,	PUNCT
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cana-4166	396	9	,	,	PUNCT
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cana-4166	401	12	,	,	PUNCT
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cana-4166	406	1	[	[	X
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cana-4166	410	18	.	.	PUNCT
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cana-4166	412	1	476–486	476–486	NUM
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cana-4166	413	1	[	[	X
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cana-4166	413	20	“	"	PUNCT
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cana-4166	416	7	:	:	PUNCT
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cana-4166	417	2	(	(	PUNCT
cana-4166	417	3	2025	2025	NUM
cana-4166	417	4	)	)	PUNCT
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cana-4166	417	6	1426	1426	NUM
cana-4166	417	7	[	[	SYM
cana-4166	417	8	20	20	NUM
cana-4166	417	9	]	]	X
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cana-4166	417	16	,	,	PUNCT
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cana-4166	417	18	moysis	moysis	PROPN
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cana-4166	417	20	and	and	CCONJ
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cana-4166	417	22	f.	f.	PROPN
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cana-4166	417	28	of	of	ADP
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cana-4166	417	30	learning	learning	NOUN
cana-4166	417	31	and	and	CCONJ
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cana-4166	417	47	and	and	CCONJ
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cana-4166	417	50	,	,	PUNCT
cana-4166	417	51	”	"	PUNCT
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cana-4166	418	6	.	.	NUM
cana-4166	418	7	2024	2024	NUM
cana-4166	418	8	.	.	PUNCT
cana-4166	419	1	doi	doi	NOUN
cana-4166	419	2	:	:	PUNCT
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cana-4166	419	4	/	/	SYM
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cana-4166	419	6	.	.	PUNCT
cana-4166	420	1	[	[	X
cana-4166	420	2	21	21	NUM
cana-4166	420	3	]	]	PUNCT
cana-4166	420	4	a.	a.	NOUN
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cana-4166	420	10	“	"	PUNCT
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cana-4166	420	14	and	and	CCONJ
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cana-4166	420	16	engineering	engineering	NOUN
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cana-4166	420	18	deep	deep	ADJ
cana-4166	420	19	learning	learning	NOUN
cana-4166	420	20	and	and	CCONJ
cana-4166	420	21	big	big	ADJ
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cana-4166	420	25	a	a	DET
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cana-4166	420	34	,	,	PUNCT
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cana-4166	420	36	,	,	PUNCT
cana-4166	420	37	doi	doi	NOUN
cana-4166	420	38	:	:	PUNCT
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cana-4166	420	40	.	.	PUNCT
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cana-4166	421	2	22	22	NUM
cana-4166	421	3	]	]	PUNCT
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cana-4166	421	5	.	.	PUNCT
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cana-4166	426	10	,	,	PUNCT
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cana-4166	426	12	,	,	PUNCT
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cana-4166	427	22	“	"	PUNCT
cana-4166	427	23	ddcnn	ddcnn	PROPN
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cana-4166	427	30	neural	neural	ADJ
cana-4166	427	31	network	network	NOUN
cana-4166	427	32	‘	'	PUNCT
cana-4166	427	33	f	f	X
cana-4166	427	34	’	'	PUNCT
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cana-4166	428	11	,	,	PUNCT
cana-4166	428	12	doi	doi	NOUN
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cana-4166	428	20	49721x	49721x	NUM
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cana-4166	429	10	“	"	PUNCT
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cana-4166	429	17	transformer	transformer	ADJ
cana-4166	429	18	bottleneck	bottleneck	NOUN
cana-4166	429	19	and	and	CCONJ
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cana-4166	429	33	,	,	PUNCT
cana-4166	429	34	2024	2024	NUM
cana-4166	429	35	,	,	PUNCT
cana-4166	429	36	doi	doi	NOUN
cana-4166	429	37	:	:	PUNCT
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cana-4166	430	5	dataset	dataset	PROPN
cana-4166	430	6	url	url	PROPN
cana-4166	430	7	:	:	PUNCT
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cana-4166	430	30	-	-	PUNCT
cana-4166	430	31	nidd	nidd	ADJ
cana-4166	430	32	-	-	PUNCT
cana-4166	430	33	dataset	dataset	VERB
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cana-4166	430	35	https://www.kaggle.com/datasets/aymenabb/ddos-evaluation-dataset-cic-ddos2019	https://www.kaggle.com/datasets/aymenabb/ddos-evaluation-dataset-cic-ddos2019	PRON