id	sid	tid	token	lemma	pos
cana-5210	1	1	communications	communication	NOUN
cana-5210	1	2	on	on	ADP
cana-5210	1	3	applied	apply	VERB
cana-5210	1	4	nonlinear	nonlinear	ADJ
cana-5210	1	5	analysis	analysis	NOUN
cana-5210	1	6	issn	issn	NOUN
cana-5210	1	7	:	:	PUNCT
cana-5210	1	8	1074	1074	NUM
cana-5210	1	9	-	-	PUNCT
cana-5210	1	10	133x	133x	NUM
cana-5210	1	11	vol	vol	VERB
cana-5210	1	12	32	32	NUM
cana-5210	1	13	no	no	NOUN
cana-5210	1	14	.	.	PUNCT
cana-5210	2	1	10s	10	NOUN
cana-5210	2	2	(	(	PUNCT
cana-5210	2	3	2025	2025	NUM
cana-5210	2	4	)	)	PUNCT
cana-5210	2	5	1152	1152	NUM
cana-5210	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	2	7	network	network	NOUN
cana-5210	2	8	attack	attack	NOUN
cana-5210	2	9	detection	detection	NOUN
cana-5210	2	10	with	with	ADP
cana-5210	2	11	lstm	lstm	NOUN
cana-5210	2	12	-	-	PUNCT
cana-5210	2	13	based	base	VERB
cana-5210	2	14	model	model	NOUN
cana-5210	2	15	1s	1s	X
cana-5210	2	16	.	.	PUNCT
cana-5210	3	1	ravi	ravi	PROPN
cana-5210	3	2	kiran	kiran	PROPN
cana-5210	3	3	,	,	PUNCT
cana-5210	3	4	*	*	PROPN
cana-5210	3	5	2	2	NUM
cana-5210	3	6	dr	dr	PROPN
cana-5210	3	7	.	.	PROPN
cana-5210	3	8	n.	n.	PROPN
cana-5210	3	9	satheesh	satheesh	PROPN
cana-5210	3	10	kumar	kumar	PROPN
cana-5210	3	11	1	1	NUM
cana-5210	3	12	research	research	NOUN
cana-5210	3	13	scholar	scholar	NOUN
cana-5210	3	14	,	,	PUNCT
cana-5210	3	15	department	department	NOUN
cana-5210	3	16	of	of	ADP
cana-5210	3	17	cse	cse	PROPN
cana-5210	3	18	,	,	PUNCT
cana-5210	3	19	faculty	faculty	NOUN
cana-5210	3	20	of	of	ADP
cana-5210	3	21	engineering	engineering	PROPN
cana-5210	3	22	,	,	PUNCT
cana-5210	3	23	chaitanya	chaitanya	PROPN
cana-5210	3	24	(	(	PUNCT
cana-5210	3	25	deemed	deem	VERB
cana-5210	3	26	to	to	PART
cana-5210	3	27	be	be	AUX
cana-5210	3	28	university	university	NOUN
cana-5210	3	29	)	)	PUNCT
cana-5210	3	30	,	,	PUNCT
cana-5210	3	31	hyderabad	hyderabad	PROPN
cana-5210	3	32	.	.	PUNCT
cana-5210	4	1	sravikiran00@gmail.com	sravikiran00@gmail.com	X
cana-5210	5	1	*	*	PUNCT
cana-5210	5	2	2department	2department	NUM
cana-5210	5	3	of	of	ADP
cana-5210	5	4	cse	cse	PROPN
cana-5210	5	5	,	,	PUNCT
cana-5210	5	6	malla	malla	PROPN
cana-5210	5	7	reddy	reddy	PROPN
cana-5210	5	8	college	college	PROPN
cana-5210	5	9	of	of	ADP
cana-5210	5	10	engineering	engineering	NOUN
cana-5210	5	11	and	and	CCONJ
cana-5210	5	12	technology	technology	NOUN
cana-5210	5	13	,	,	PUNCT
cana-5210	5	14	hyderabad	hyderabad	PROPN
cana-5210	5	15	,	,	PUNCT
cana-5210	5	16	telangana	telangana	PROPN
cana-5210	5	17	meet.nskumar@gmail.com	meet.nskumar@gmail.com	PROPN
cana-5210	5	18	article	article	NOUN
cana-5210	5	19	history	history	NOUN
cana-5210	5	20	:	:	PUNCT
cana-5210	5	21	received	receive	VERB
cana-5210	5	22	:	:	PUNCT
cana-5210	5	23	27	27	NUM
cana-5210	5	24	-	-	SYM
cana-5210	5	25	01	01	NUM
cana-5210	5	26	-	-	PUNCT
cana-5210	5	27	2025	2025	NUM
cana-5210	5	28	revised	revise	VERB
cana-5210	5	29	:	:	PUNCT
cana-5210	5	30	15	15	NUM
cana-5210	5	31	-	-	SYM
cana-5210	5	32	03	03	NUM
cana-5210	5	33	-	-	PUNCT
cana-5210	5	34	2025	2025	NUM
cana-5210	5	35	accepted	accept	VERB
cana-5210	5	36	:	:	PUNCT
cana-5210	5	37	17	17	NUM
cana-5210	5	38	-	-	PUNCT
cana-5210	5	39	04	04	NUM
cana-5210	5	40	-	-	PUNCT
cana-5210	5	41	2025	2025	NUM
cana-5210	5	42	abstract	abstract	NOUN
cana-5210	5	43	:	:	PUNCT
cana-5210	5	44	the	the	DET
cana-5210	5	45	rising	rise	VERB
cana-5210	5	46	frequency	frequency	NOUN
cana-5210	5	47	of	of	ADP
cana-5210	5	48	network	network	NOUN
cana-5210	5	49	-	-	PUNCT
cana-5210	5	50	based	base	VERB
cana-5210	5	51	attacks	attack	NOUN
cana-5210	5	52	,	,	PUNCT
cana-5210	5	53	such	such	ADJ
cana-5210	5	54	as	as	ADP
cana-5210	5	55	distributed	distribute	VERB
cana-5210	5	56	denial	denial	NOUN
cana-5210	5	57	of	of	ADP
cana-5210	5	58	service	service	NOUN
cana-5210	5	59	(	(	PUNCT
cana-5210	5	60	ddos	ddos	NOUN
cana-5210	5	61	)	)	PUNCT
cana-5210	5	62	and	and	CCONJ
cana-5210	5	63	port	port	NOUN
cana-5210	5	64	scanning	scanning	NOUN
cana-5210	5	65	,	,	PUNCT
cana-5210	5	66	underscores	underscore	VERB
cana-5210	5	67	the	the	DET
cana-5210	5	68	critical	critical	ADJ
cana-5210	5	69	need	need	NOUN
cana-5210	5	70	for	for	ADP
cana-5210	5	71	advanced	advanced	ADJ
cana-5210	5	72	detection	detection	NOUN
cana-5210	5	73	systems	system	NOUN
cana-5210	5	74	.	.	PUNCT
cana-5210	6	1	this	this	DET
cana-5210	6	2	study	study	NOUN
cana-5210	6	3	presents	present	VERB
cana-5210	6	4	a	a	DET
cana-5210	6	5	long	long	ADJ
cana-5210	6	6	short	short	ADJ
cana-5210	6	7	-	-	PUNCT
cana-5210	6	8	term	term	NOUN
cana-5210	6	9	memory	memory	NOUN
cana-5210	6	10	(	(	PUNCT
cana-5210	6	11	lstm)-based	lstm)-based	ADJ
cana-5210	6	12	model	model	NOUN
cana-5210	6	13	tailored	tailor	VERB
cana-5210	6	14	for	for	ADP
cana-5210	6	15	the	the	DET
cana-5210	6	16	detection	detection	NOUN
cana-5210	6	17	of	of	ADP
cana-5210	6	18	network	network	NOUN
cana-5210	6	19	intrusions	intrusion	NOUN
cana-5210	6	20	.	.	PUNCT
cana-5210	7	1	leveraging	leverage	VERB
cana-5210	7	2	real	real	ADJ
cana-5210	7	3	-	-	PUNCT
cana-5210	7	4	time	time	NOUN
cana-5210	7	5	sequential	sequential	ADJ
cana-5210	7	6	data	datum	NOUN
cana-5210	7	7	,	,	PUNCT
cana-5210	7	8	the	the	DET
cana-5210	7	9	proposed	propose	VERB
cana-5210	7	10	system	system	NOUN
cana-5210	7	11	identifies	identify	VERB
cana-5210	7	12	malicious	malicious	ADJ
cana-5210	7	13	activities	activity	NOUN
cana-5210	7	14	by	by	ADP
cana-5210	7	15	analysing	analyse	VERB
cana-5210	7	16	network	network	NOUN
cana-5210	7	17	traffic	traffic	NOUN
cana-5210	7	18	patterns	pattern	NOUN
cana-5210	7	19	across	across	ADP
cana-5210	7	20	key	key	ADJ
cana-5210	7	21	attributes	attribute	NOUN
cana-5210	7	22	.	.	PUNCT
cana-5210	8	1	the	the	DET
cana-5210	8	2	dataset	dataset	NOUN
cana-5210	8	3	comprises	comprise	VERB
cana-5210	8	4	four	four	NUM
cana-5210	8	5	distinct	distinct	ADJ
cana-5210	8	6	classes	class	NOUN
cana-5210	8	7	:	:	PUNCT
cana-5210	8	8	benign	benign	ADJ
cana-5210	8	9	,	,	PUNCT
cana-5210	8	10	ddos	ddo	NOUN
cana-5210	8	11	,	,	PUNCT
cana-5210	8	12	portscan	portscan	NOUN
cana-5210	8	13	,	,	PUNCT
cana-5210	8	14	and	and	CCONJ
cana-5210	8	15	dos	do	NOUN
cana-5210	8	16	,	,	PUNCT
cana-5210	8	17	with	with	ADP
cana-5210	8	18	preprocessing	preprocesse	VERB
cana-5210	8	19	steps	step	NOUN
cana-5210	8	20	that	that	PRON
cana-5210	8	21	include	include	VERB
cana-5210	8	22	correlation	correlation	NOUN
cana-5210	8	23	-	-	PUNCT
cana-5210	8	24	based	base	VERB
cana-5210	8	25	feature	feature	NOUN
cana-5210	8	26	selection	selection	NOUN
cana-5210	8	27	,	,	PUNCT
cana-5210	8	28	scaling	scaling	NOUN
cana-5210	8	29	,	,	PUNCT
cana-5210	8	30	and	and	CCONJ
cana-5210	8	31	label	label	NOUN
cana-5210	8	32	encoding	encoding	NOUN
cana-5210	8	33	.	.	PUNCT
cana-5210	9	1	the	the	DET
cana-5210	9	2	lstm	lstm	PROPN
cana-5210	9	3	model	model	NOUN
cana-5210	9	4	architecture	architecture	NOUN
cana-5210	9	5	incorporates	incorporate	VERB
cana-5210	9	6	a	a	DET
cana-5210	9	7	128	128	NUM
cana-5210	9	8	-	-	PUNCT
cana-5210	9	9	unit	unit	NOUN
cana-5210	9	10	hidden	hide	VERB
cana-5210	9	11	layer	layer	NOUN
cana-5210	9	12	with	with	ADP
cana-5210	9	13	relu	relu	NOUN
cana-5210	9	14	activation	activation	NOUN
cana-5210	9	15	,	,	PUNCT
cana-5210	9	16	dropout	dropout	NOUN
cana-5210	9	17	for	for	ADP
cana-5210	9	18	overfitting	overfitte	VERB
cana-5210	9	19	mitigation	mitigation	NOUN
cana-5210	9	20	,	,	PUNCT
cana-5210	9	21	and	and	CCONJ
cana-5210	9	22	dense	dense	ADJ
cana-5210	9	23	layers	layer	NOUN
cana-5210	9	24	for	for	ADP
cana-5210	9	25	feature	feature	NOUN
cana-5210	9	26	extraction	extraction	NOUN
cana-5210	9	27	.	.	PUNCT
cana-5210	10	1	the	the	DET
cana-5210	10	2	model	model	NOUN
cana-5210	10	3	achieves	achieve	VERB
cana-5210	10	4	an	an	DET
cana-5210	10	5	accuracy	accuracy	NOUN
cana-5210	10	6	of	of	ADP
cana-5210	10	7	97	97	NUM
cana-5210	10	8	%	%	NOUN
cana-5210	10	9	,	,	PUNCT
cana-5210	10	10	with	with	ADP
cana-5210	10	11	detailed	detailed	ADJ
cana-5210	10	12	evaluation	evaluation	NOUN
cana-5210	10	13	metrics	metric	NOUN
cana-5210	10	14	such	such	ADJ
cana-5210	10	15	as	as	ADP
cana-5210	10	16	precision	precision	NOUN
cana-5210	10	17	,	,	PUNCT
cana-5210	10	18	recall	recall	NOUN
cana-5210	10	19	,	,	PUNCT
cana-5210	10	20	and	and	CCONJ
cana-5210	10	21	f1	f1	NOUN
cana-5210	10	22	-	-	PUNCT
cana-5210	10	23	scores	score	NOUN
cana-5210	10	24	for	for	ADP
cana-5210	10	25	all	all	DET
cana-5210	10	26	attack	attack	NOUN
cana-5210	10	27	classes	class	NOUN
cana-5210	10	28	.	.	PUNCT
cana-5210	11	1	this	this	DET
cana-5210	11	2	research	research	NOUN
cana-5210	11	3	demonstrates	demonstrate	VERB
cana-5210	11	4	the	the	DET
cana-5210	11	5	efficacy	efficacy	NOUN
cana-5210	11	6	of	of	ADP
cana-5210	11	7	deep	deep	ADJ
cana-5210	11	8	learning	learning	NOUN
cana-5210	11	9	in	in	ADP
cana-5210	11	10	network	network	NOUN
cana-5210	11	11	intrusion	intrusion	NOUN
cana-5210	11	12	detection	detection	NOUN
cana-5210	11	13	and	and	CCONJ
cana-5210	11	14	provides	provide	VERB
cana-5210	11	15	a	a	DET
cana-5210	11	16	scalable	scalable	ADJ
cana-5210	11	17	approach	approach	NOUN
cana-5210	11	18	for	for	ADP
cana-5210	11	19	real	real	ADJ
cana-5210	11	20	-	-	PUNCT
cana-5210	11	21	time	time	NOUN
cana-5210	11	22	deployment	deployment	NOUN
cana-5210	11	23	.	.	PUNCT
cana-5210	12	1	methods	method	NOUN
cana-5210	12	2	:	:	PUNCT
cana-5210	12	3	the	the	DET
cana-5210	12	4	data	datum	NOUN
cana-5210	12	5	has	have	VERB
cana-5210	12	6	to	to	PART
cana-5210	12	7	be	be	AUX
cana-5210	12	8	pre	pre	VERB
cana-5210	12	9	-	-	VERB
cana-5210	12	10	processed	process	VERB
cana-5210	12	11	to	to	PART
cana-5210	12	12	handle	handle	VERB
cana-5210	12	13	the	the	DET
cana-5210	12	14	missing	miss	VERB
cana-5210	12	15	values	value	NOUN
cana-5210	12	16	,	,	PUNCT
cana-5210	12	17	label	label	NOUN
cana-5210	12	18	encoding	encoding	NOUN
cana-5210	12	19	,	,	PUNCT
cana-5210	12	20	feature	feature	NOUN
cana-5210	12	21	selection	selection	NOUN
cana-5210	12	22	and	and	CCONJ
cana-5210	12	23	data	datum	NOUN
cana-5210	12	24	reshaping	reshape	VERB
cana-5210	12	25	.	.	PUNCT
cana-5210	13	1	the	the	DET
cana-5210	13	2	pre	pre	ADJ
cana-5210	13	3	-	-	ADJ
cana-5210	13	4	processed	processed	ADJ
cana-5210	13	5	data	datum	NOUN
cana-5210	13	6	will	will	AUX
cana-5210	13	7	be	be	AUX
cana-5210	13	8	used	use	VERB
cana-5210	13	9	for	for	ADP
cana-5210	13	10	training	training	NOUN
cana-5210	13	11	and	and	CCONJ
cana-5210	13	12	testing	testing	NOUN
cana-5210	13	13	purposes	purpose	NOUN
cana-5210	13	14	.	.	PUNCT
cana-5210	14	1	the	the	DET
cana-5210	14	2	proposed	propose	VERB
cana-5210	14	3	model	model	NOUN
cana-5210	14	4	uses	use	VERB
cana-5210	14	5	10	10	NUM
cana-5210	14	6	epochs	epoch	NOUN
cana-5210	14	7	on	on	ADP
cana-5210	14	8	the	the	DET
cana-5210	14	9	training	training	NOUN
cana-5210	14	10	dataset	dataset	NOUN
cana-5210	14	11	and	and	CCONJ
cana-5210	14	12	the	the	DET
cana-5210	14	13	model	model	NOUN
cana-5210	14	14	is	be	AUX
cana-5210	14	15	evaluated	evaluate	VERB
cana-5210	14	16	based	base	VERB
cana-5210	14	17	on	on	ADP
cana-5210	14	18	the	the	DET
cana-5210	14	19	test	test	NOUN
cana-5210	14	20	data	datum	NOUN
cana-5210	14	21	.	.	PUNCT
cana-5210	15	1	the	the	DET
cana-5210	15	2	input	input	NOUN
cana-5210	15	3	samples	sample	NOUN
cana-5210	15	4	will	will	AUX
cana-5210	15	5	be	be	AUX
cana-5210	15	6	supplied	supply	VERB
cana-5210	15	7	to	to	ADP
cana-5210	15	8	lstm	lstm	NOUN
cana-5210	15	9	with	with	ADP
cana-5210	15	10	128	128	NUM
cana-5210	15	11	units	unit	NOUN
cana-5210	15	12	and	and	CCONJ
cana-5210	15	13	relu	relu	NOUN
cana-5210	15	14	activation	activation	NOUN
cana-5210	15	15	function	function	NOUN
cana-5210	15	16	by	by	ADP
cana-5210	15	17	setting	set	VERB
cana-5210	15	18	the	the	DET
cana-5210	15	19	dropout	dropout	NOUN
cana-5210	15	20	layer	layer	NOUN
cana-5210	15	21	to	to	ADP
cana-5210	15	22	zero	zero	NUM
cana-5210	15	23	and	and	CCONJ
cana-5210	15	24	32	32	NUM
cana-5210	15	25	neurons	neuron	NOUN
cana-5210	15	26	at	at	ADP
cana-5210	15	27	dense	dense	ADJ
cana-5210	15	28	layer	layer	NOUN
cana-5210	15	29	to	to	PART
cana-5210	15	30	produce	produce	VERB
cana-5210	15	31	the	the	DET
cana-5210	15	32	four	four	NUM
cana-5210	15	33	possible	possible	ADJ
cana-5210	15	34	classes	class	NOUN
cana-5210	15	35	at	at	ADP
cana-5210	15	36	output	output	NOUN
cana-5210	15	37	layer	layer	NOUN
cana-5210	15	38	.	.	PUNCT
cana-5210	16	1	results	result	NOUN
cana-5210	16	2	:	:	PUNCT
cana-5210	16	3	the	the	DET
cana-5210	16	4	proposed	propose	VERB
cana-5210	16	5	system	system	NOUN
cana-5210	16	6	performance	performance	NOUN
cana-5210	16	7	is	be	AUX
cana-5210	16	8	evaluated	evaluate	VERB
cana-5210	16	9	based	base	VERB
cana-5210	16	10	on	on	ADP
cana-5210	16	11	the	the	DET
cana-5210	16	12	classification	classification	NOUN
cana-5210	16	13	report	report	NOUN
cana-5210	16	14	which	which	PRON
cana-5210	16	15	includes	include	VERB
cana-5210	16	16	precision	precision	NOUN
cana-5210	16	17	,	,	PUNCT
cana-5210	16	18	recall	recall	NOUN
cana-5210	16	19	and	and	CCONJ
cana-5210	16	20	f1	f1	NOUN
cana-5210	16	21	-	-	PUNCT
cana-5210	16	22	score	score	NOUN
cana-5210	16	23	which	which	PRON
cana-5210	16	24	showcase	showcase	VERB
cana-5210	16	25	the	the	DET
cana-5210	16	26	accuracy	accuracy	NOUN
cana-5210	16	27	of	of	ADP
cana-5210	16	28	97	97	NUM
cana-5210	16	29	%	%	NOUN
cana-5210	16	30	.	.	PUNCT
cana-5210	17	1	conclusion	conclusion	NOUN
cana-5210	17	2	:	:	PUNCT
cana-5210	17	3	the	the	DET
cana-5210	17	4	lstm	lstm	NOUN
cana-5210	17	5	offers	offer	VERB
cana-5210	17	6	a	a	DET
cana-5210	17	7	reliable	reliable	ADJ
cana-5210	17	8	method	method	NOUN
cana-5210	17	9	to	to	PART
cana-5210	17	10	enhance	enhance	VERB
cana-5210	17	11	the	the	DET
cana-5210	17	12	network	network	NOUN
cana-5210	17	13	threat	threat	NOUN
cana-5210	17	14	detection	detection	NOUN
cana-5210	17	15	capabilities	capability	NOUN
cana-5210	17	16	.	.	PUNCT
cana-5210	18	1	with	with	ADP
cana-5210	18	2	these	these	DET
cana-5210	18	3	enhanced	enhance	VERB
cana-5210	18	4	capabilities	capability	NOUN
cana-5210	18	5	,	,	PUNCT
cana-5210	18	6	the	the	DET
cana-5210	18	7	proposed	propose	VERB
cana-5210	18	8	system	system	NOUN
cana-5210	18	9	can	can	AUX
cana-5210	18	10	handle	handle	VERB
cana-5210	18	11	various	various	ADJ
cana-5210	18	12	attacks	attack	NOUN
cana-5210	18	13	in	in	ADP
cana-5210	18	14	real	real	ADJ
cana-5210	18	15	time	time	NOUN
cana-5210	18	16	environments	environment	NOUN
cana-5210	18	17	.	.	PUNCT
cana-5210	19	1	keywords	keyword	NOUN
cana-5210	19	2	:	:	PUNCT
cana-5210	19	3	denial	denial	NOUN
cana-5210	19	4	of	of	ADP
cana-5210	19	5	service	service	NOUN
cana-5210	19	6	,	,	PUNCT
cana-5210	19	7	long	long	ADJ
cana-5210	19	8	short	short	ADJ
cana-5210	19	9	-	-	PUNCT
cana-5210	19	10	term	term	NOUN
cana-5210	19	11	memory	memory	NOUN
cana-5210	19	12	,	,	PUNCT
cana-5210	19	13	machine	machine	NOUN
cana-5210	19	14	learning	learning	NOUN
cana-5210	19	15	,	,	PUNCT
cana-5210	19	16	softmax	softmax	NOUN
cana-5210	19	17	,	,	PUNCT
cana-5210	19	18	ddos	ddos	NOUN
cana-5210	19	19	1	1	NUM
cana-5210	19	20	.	.	PUNCT
cana-5210	19	21	introduction	introduction	NOUN
cana-5210	19	22	since	since	SCONJ
cana-5210	19	23	the	the	DET
cana-5210	19	24	beginning	beginning	NOUN
cana-5210	19	25	of	of	ADP
cana-5210	19	26	the	the	DET
cana-5210	19	27	internet	internet	NOUN
cana-5210	19	28	,	,	PUNCT
cana-5210	19	29	there	there	PRON
cana-5210	19	30	have	have	AUX
cana-5210	19	31	been	be	AUX
cana-5210	19	32	network	network	NOUN
cana-5210	19	33	attacks	attack	NOUN
cana-5210	19	34	.	.	PUNCT
cana-5210	20	1	these	these	DET
cana-5210	20	2	attacks	attack	NOUN
cana-5210	20	3	continue	continue	VERB
cana-5210	20	4	to	to	PART
cana-5210	20	5	be	be	AUX
cana-5210	20	6	significant	significant	ADJ
cana-5210	20	7	since	since	SCONJ
cana-5210	20	8	there	there	PRON
cana-5210	20	9	are	be	VERB
cana-5210	20	10	always	always	ADV
cana-5210	20	11	going	go	VERB
cana-5210	20	12	to	to	PART
cana-5210	20	13	be	be	AUX
cana-5210	20	14	hackers	hacker	NOUN
cana-5210	20	15	,	,	PUNCT
cana-5210	20	16	criminal	criminal	ADJ
cana-5210	20	17	organizations	organization	NOUN
cana-5210	20	18	,	,	PUNCT
cana-5210	20	19	and	and	CCONJ
cana-5210	20	20	state	state	NOUN
cana-5210	20	21	-	-	PUNCT
cana-5210	20	22	sponsored	sponsor	VERB
cana-5210	20	23	hacking	hack	VERB
cana-5210	20	24	teams	team	NOUN
cana-5210	20	25	trying	try	VERB
cana-5210	20	26	to	to	PART
cana-5210	20	27	breach	breach	VERB
cana-5210	20	28	other	other	ADJ
cana-5210	20	29	networks	network	NOUN
cana-5210	20	30	.	.	PUNCT
cana-5210	21	1	academics	academic	NOUN
cana-5210	21	2	and	and	CCONJ
cana-5210	21	3	businesses	business	NOUN
cana-5210	21	4	alike	alike	ADV
cana-5210	21	5	have	have	AUX
cana-5210	21	6	been	be	AUX
cana-5210	21	7	hard	hard	ADJ
cana-5210	21	8	at	at	ADP
cana-5210	21	9	work	work	NOUN
cana-5210	21	10	perfecting	perfect	VERB
cana-5210	21	11	defences	defence	NOUN
cana-5210	21	12	against	against	ADP
cana-5210	21	13	ever	ever	ADV
cana-5210	21	14	-	-	PUNCT
cana-5210	21	15	evolving	evolve	VERB
cana-5210	21	16	forms	form	NOUN
cana-5210	21	17	of	of	ADP
cana-5210	21	18	network	network	NOUN
cana-5210	21	19	intrusion	intrusion	NOUN
cana-5210	21	20	.	.	PUNCT
cana-5210	22	1	the	the	DET
cana-5210	22	2	use	use	NOUN
cana-5210	22	3	of	of	ADP
cana-5210	22	4	ml	ml	NOUN
cana-5210	22	5	and	and	CCONJ
cana-5210	22	6	deep	deep	ADJ
cana-5210	22	7	learning	learning	NOUN
cana-5210	22	8	to	to	PART
cana-5210	22	9	detect	detect	VERB
cana-5210	22	10	and	and	CCONJ
cana-5210	22	11	stop	stop	VERB
cana-5210	22	12	network	network	NOUN
cana-5210	22	13	attacks	attack	NOUN
cana-5210	22	14	has	have	AUX
cana-5210	22	15	shown	show	VERB
cana-5210	22	16	encouraging	encouraging	ADJ
cana-5210	22	17	results	result	NOUN
cana-5210	22	18	.	.	PUNCT
cana-5210	23	1	cyber	cyber	ADJ
cana-5210	23	2	risks	risk	NOUN
cana-5210	23	3	are	be	AUX
cana-5210	23	4	becoming	become	VERB
cana-5210	23	5	increasingly	increasingly	ADV
cana-5210	23	6	important	important	ADJ
cana-5210	23	7	as	as	ADP
cana-5210	23	8	a	a	DET
cana-5210	23	9	result	result	NOUN
cana-5210	23	10	of	of	ADP
cana-5210	23	11	the	the	DET
cana-5210	23	12	heavy	heavy	ADJ
cana-5210	23	13	reliance	reliance	NOUN
cana-5210	23	14	on	on	ADP
cana-5210	23	15	the	the	DET
cana-5210	23	16	internet	internet	NOUN
cana-5210	23	17	for	for	ADP
cana-5210	23	18	daily	daily	ADJ
cana-5210	23	19	operations	operation	NOUN
cana-5210	23	20	by	by	ADP
cana-5210	23	21	government	government	NOUN
cana-5210	23	22	,	,	PUNCT
cana-5210	23	23	military	military	NOUN
cana-5210	23	24	,	,	PUNCT
cana-5210	23	25	and	and	CCONJ
cana-5210	23	26	commercial	commercial	ADJ
cana-5210	23	27	groups	group	NOUN
cana-5210	23	28	.	.	PUNCT
cana-5210	24	1	with	with	ADP
cana-5210	24	2	over	over	ADP
cana-5210	24	3	26	26	NUM
cana-5210	24	4	billion	billion	NUM
cana-5210	24	5	devices	device	NOUN
cana-5210	24	6	linked	link	VERB
cana-5210	24	7	in	in	ADP
cana-5210	24	8	2019	2019	NUM
cana-5210	24	9	,	,	PUNCT
cana-5210	24	10	network	network	NOUN
cana-5210	24	11	attacks	attack	NOUN
cana-5210	24	12	are	be	AUX
cana-5210	24	13	also	also	ADV
cana-5210	24	14	evolving	evolve	VERB
cana-5210	24	15	frequently	frequently	ADV
cana-5210	24	16	.	.	PUNCT
cana-5210	25	1	an	an	DET
cana-5210	25	2	intrusion	intrusion	NOUN
cana-5210	25	3	detection	detection	NOUN
cana-5210	25	4	system	system	NOUN
cana-5210	25	5	(	(	PUNCT
cana-5210	25	6	ids	id	NOUN
cana-5210	25	7	)	)	PUNCT
cana-5210	25	8	is	be	AUX
cana-5210	25	9	a	a	DET
cana-5210	25	10	crucial	crucial	ADJ
cana-5210	25	11	mailto:sravikiran00@gmail.com	mailto:sravikiran00@gmail.com	NOUN
cana-5210	25	12	mailto:meet.nskumar@gmail.com	mailto:meet.nskumar@gmail.com	NOUN
cana-5210	25	13	communications	communication	NOUN
cana-5210	25	14	on	on	ADP
cana-5210	25	15	applied	apply	VERB
cana-5210	25	16	nonlinear	nonlinear	ADJ
cana-5210	25	17	analysis	analysis	NOUN
cana-5210	25	18	issn	issn	NOUN
cana-5210	25	19	:	:	PUNCT
cana-5210	25	20	1074	1074	NUM
cana-5210	25	21	-	-	PUNCT
cana-5210	25	22	133x	133x	NUM
cana-5210	25	23	vol	vol	VERB
cana-5210	25	24	32	32	NUM
cana-5210	25	25	no	no	NOUN
cana-5210	25	26	.	.	PUNCT
cana-5210	26	1	10s	10	NOUN
cana-5210	26	2	(	(	PUNCT
cana-5210	26	3	2025	2025	NUM
cana-5210	26	4	)	)	PUNCT
cana-5210	26	5	1153	1153	NUM
cana-5210	26	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	26	7	component	component	NOUN
cana-5210	26	8	of	of	ADP
cana-5210	26	9	security	security	NOUN
cana-5210	26	10	infrastructures	infrastructure	NOUN
cana-5210	26	11	that	that	PRON
cana-5210	26	12	are	be	AUX
cana-5210	26	13	used	use	VERB
cana-5210	26	14	to	to	PART
cana-5210	26	15	enhance	enhance	VERB
cana-5210	26	16	computer	computer	NOUN
cana-5210	26	17	system	system	NOUN
cana-5210	26	18	security[1][2	security[1][2	NOUN
cana-5210	26	19	]	]	PUNCT
cana-5210	26	20	.	.	PUNCT
cana-5210	27	1	there	there	PRON
cana-5210	27	2	have	have	AUX
cana-5210	27	3	been	be	AUX
cana-5210	27	4	a	a	DET
cana-5210	27	5	plethora	plethora	NOUN
cana-5210	27	6	of	of	ADP
cana-5210	27	7	machine	machine	NOUN
cana-5210	27	8	learning	learning	NOUN
cana-5210	27	9	models	model	NOUN
cana-5210	27	10	developed	develop	VERB
cana-5210	27	11	and	and	CCONJ
cana-5210	27	12	evaluated	evaluate	VERB
cana-5210	27	13	recently	recently	ADV
cana-5210	27	14	.	.	PUNCT
cana-5210	28	1	some	some	DET
cana-5210	28	2	intrusion	intrusion	NOUN
cana-5210	28	3	detection	detection	NOUN
cana-5210	28	4	systems	system	NOUN
cana-5210	28	5	rely	rely	VERB
cana-5210	28	6	on	on	ADP
cana-5210	28	7	feature	feature	NOUN
cana-5210	28	8	selection	selection	NOUN
cana-5210	28	9	,	,	PUNCT
cana-5210	28	10	while	while	SCONJ
cana-5210	28	11	others	other	NOUN
cana-5210	28	12	make	make	VERB
cana-5210	28	13	use	use	NOUN
cana-5210	28	14	of	of	ADP
cana-5210	28	15	classification	classification	NOUN
cana-5210	28	16	methods	method	NOUN
cana-5210	28	17	such	such	ADJ
cana-5210	28	18	as	as	ADP
cana-5210	28	19	k	k	NOUN
cana-5210	28	20	-	-	PUNCT
cana-5210	28	21	nearest	near	ADJ
cana-5210	28	22	,	,	PUNCT
cana-5210	28	23	svm	svm	PROPN
cana-5210	28	24	,	,	PUNCT
cana-5210	28	25	etc	etc	X
cana-5210	28	26	.	.	X
cana-5210	29	1	all	all	DET
cana-5210	29	2	machine	machine	NOUN
cana-5210	29	3	learning	learn	VERB
cana-5210	29	4	intrusion	intrusion	NOUN
cana-5210	29	5	detection	detection	NOUN
cana-5210	29	6	systems	system	NOUN
cana-5210	29	7	use	use	VERB
cana-5210	29	8	shallow	shallow	ADJ
cana-5210	29	9	learning	learning	NOUN
cana-5210	29	10	,	,	PUNCT
cana-5210	29	11	also	also	ADV
cana-5210	29	12	known	know	VERB
cana-5210	29	13	as	as	ADP
cana-5210	29	14	single	single	ADJ
cana-5210	29	15	feed	feed	NOUN
cana-5210	29	16	forward	forward	ADV
cana-5210	29	17	networks	network	NOUN
cana-5210	29	18	,	,	PUNCT
cana-5210	29	19	which	which	PRON
cana-5210	29	20	produce	produce	VERB
cana-5210	29	21	ml	ml	NOUN
cana-5210	29	22	model	model	NOUN
cana-5210	29	23	features	feature	NOUN
cana-5210	29	24	by	by	ADP
cana-5210	29	25	human	human	ADJ
cana-5210	29	26	feature	feature	NOUN
cana-5210	29	27	engineering	engineering	NOUN
cana-5210	29	28	[	[	X
cana-5210	29	29	1	1	NUM
cana-5210	29	30	]	]	PUNCT
cana-5210	29	31	.	.	PUNCT
cana-5210	30	1	furthermore	furthermore	ADV
cana-5210	30	2	,	,	PUNCT
cana-5210	30	3	shallow	shallow	ADJ
cana-5210	30	4	learning	learning	NOUN
cana-5210	30	5	was	be	AUX
cana-5210	30	6	unable	unable	ADJ
cana-5210	30	7	to	to	PART
cana-5210	30	8	handle	handle	VERB
cana-5210	30	9	environmental	environmental	ADJ
cana-5210	30	10	difficulties	difficulty	NOUN
cana-5210	30	11	occurring	occur	VERB
cana-5210	30	12	in	in	ADP
cana-5210	30	13	real	real	ADJ
cana-5210	30	14	-	-	PUNCT
cana-5210	30	15	time	time	NOUN
cana-5210	30	16	because	because	SCONJ
cana-5210	30	17	of	of	ADP
cana-5210	30	18	the	the	DET
cana-5210	30	19	large	large	ADJ
cana-5210	30	20	amount	amount	NOUN
cana-5210	30	21	of	of	ADP
cana-5210	30	22	data	datum	NOUN
cana-5210	30	23	inputs	input	NOUN
cana-5210	30	24	.	.	PUNCT
cana-5210	31	1	this	this	PRON
cana-5210	31	2	has	have	AUX
cana-5210	31	3	led	lead	VERB
cana-5210	31	4	to	to	ADP
cana-5210	31	5	a	a	DET
cana-5210	31	6	rise	rise	NOUN
cana-5210	31	7	in	in	ADP
cana-5210	31	8	the	the	DET
cana-5210	31	9	popularity	popularity	NOUN
cana-5210	31	10	of	of	ADP
cana-5210	31	11	models	model	NOUN
cana-5210	31	12	that	that	PRON
cana-5210	31	13	rely	rely	VERB
cana-5210	31	14	on	on	ADP
cana-5210	31	15	deep	deep	ADJ
cana-5210	31	16	learning	learning	NOUN
cana-5210	31	17	,	,	PUNCT
cana-5210	31	18	such	such	ADJ
cana-5210	31	19	as	as	ADP
cana-5210	31	20	rnns	rnn	NOUN
cana-5210	31	21	,	,	PUNCT
cana-5210	31	22	variation	variation	NOUN
cana-5210	31	23	auto	auto	NOUN
cana-5210	31	24	encoders	encoder	NOUN
cana-5210	31	25	(	(	PUNCT
cana-5210	31	26	vae	vae	PROPN
cana-5210	31	27	)	)	PUNCT
cana-5210	31	28	,	,	PUNCT
cana-5210	31	29	and	and	CCONJ
cana-5210	31	30	long	long	ADJ
cana-5210	31	31	shortterm	shortterm	PROPN
cana-5210	31	32	memory	memory	NOUN
cana-5210	31	33	(	(	PUNCT
cana-5210	31	34	lstm	lstm	NOUN
cana-5210	31	35	)	)	PUNCT
cana-5210	31	36	.	.	PUNCT
cana-5210	32	1	for	for	ADP
cana-5210	32	2	a	a	DET
cana-5210	32	3	long	long	ADJ
cana-5210	32	4	time	time	NOUN
cana-5210	32	5	now	now	ADV
cana-5210	32	6	,	,	PUNCT
cana-5210	32	7	denial	denial	NOUN
cana-5210	32	8	-	-	PUNCT
cana-5210	32	9	of	of	ADP
cana-5210	32	10	-	-	PUNCT
cana-5210	32	11	service	service	NOUN
cana-5210	32	12	(	(	PUNCT
cana-5210	32	13	dos	do	NOUN
cana-5210	32	14	)	)	PUNCT
cana-5210	32	15	attacks	attack	NOUN
cana-5210	32	16	have	have	AUX
cana-5210	32	17	been	be	AUX
cana-5210	32	18	a	a	DET
cana-5210	32	19	major	major	ADJ
cana-5210	32	20	problem	problem	NOUN
cana-5210	32	21	with	with	ADP
cana-5210	32	22	network	network	NOUN
cana-5210	32	23	security	security	NOUN
cana-5210	32	24	.	.	PUNCT
cana-5210	33	1	the	the	DET
cana-5210	33	2	danger	danger	NOUN
cana-5210	33	3	of	of	ADP
cana-5210	33	4	distributed	distribute	VERB
cana-5210	33	5	denial	denial	NOUN
cana-5210	33	6	of	of	ADP
cana-5210	33	7	service	service	NOUN
cana-5210	33	8	(	(	PUNCT
cana-5210	33	9	ddos)/denial	ddos)/denial	NOUN
cana-5210	33	10	of	of	ADP
cana-5210	33	11	service	service	NOUN
cana-5210	33	12	attacks	attack	NOUN
cana-5210	33	13	remains	remain	VERB
cana-5210	33	14	constant	constant	ADJ
cana-5210	33	15	,	,	PUNCT
cana-5210	33	16	and	and	CCONJ
cana-5210	33	17	their	their	PRON
cana-5210	33	18	frequency	frequency	NOUN
cana-5210	33	19	grows	grow	VERB
cana-5210	33	20	annually	annually	ADV
cana-5210	33	21	,	,	PUNCT
cana-5210	33	22	despite	despite	SCONJ
cana-5210	33	23	the	the	DET
cana-5210	33	24	fact	fact	NOUN
cana-5210	33	25	that	that	SCONJ
cana-5210	33	26	many	many	ADJ
cana-5210	33	27	investigative	investigative	ADJ
cana-5210	33	28	and	and	CCONJ
cana-5210	33	29	preventative	preventative	ADJ
cana-5210	33	30	methods	method	NOUN
cana-5210	33	31	have	have	AUX
cana-5210	33	32	been	be	AUX
cana-5210	33	33	devised	devise	VERB
cana-5210	33	34	[	[	PUNCT
cana-5210	33	35	2].the	2].the	DET
cana-5210	33	36	internet	internet	NOUN
cana-5210	33	37	is	be	AUX
cana-5210	33	38	crucial	crucial	ADJ
cana-5210	33	39	in	in	ADP
cana-5210	33	40	many	many	ADJ
cana-5210	33	41	areas	area	NOUN
cana-5210	33	42	of	of	ADP
cana-5210	33	43	modern	modern	ADJ
cana-5210	33	44	life	life	NOUN
cana-5210	33	45	,	,	PUNCT
cana-5210	33	46	such	such	ADJ
cana-5210	33	47	as	as	ADP
cana-5210	33	48	transportation	transportation	NOUN
cana-5210	33	49	,	,	PUNCT
cana-5210	33	50	education	education	NOUN
cana-5210	33	51	,	,	PUNCT
cana-5210	33	52	healthcare	healthcare	PROPN
cana-5210	33	53	,	,	PUNCT
cana-5210	33	54	entertainment	entertainment	NOUN
cana-5210	33	55	,	,	PUNCT
cana-5210	33	56	administration	administration	NOUN
cana-5210	33	57	,	,	PUNCT
cana-5210	33	58	trade	trade	NOUN
cana-5210	33	59	,	,	PUNCT
cana-5210	33	60	communication	communication	NOUN
cana-5210	33	61	,	,	PUNCT
cana-5210	33	62	e	e	NOUN
cana-5210	33	63	-	-	NOUN
cana-5210	33	64	commerce	commerce	NOUN
cana-5210	33	65	,	,	PUNCT
cana-5210	33	66	the	the	DET
cana-5210	33	67	environment	environment	NOUN
cana-5210	33	68	,	,	PUNCT
cana-5210	33	69	and	and	CCONJ
cana-5210	33	70	many	many	ADJ
cana-5210	33	71	more	more	ADJ
cana-5210	33	72	.	.	PUNCT
cana-5210	34	1	it	it	PRON
cana-5210	34	2	revolutionized	revolutionize	VERB
cana-5210	34	3	communication	communication	NOUN
cana-5210	34	4	and	and	CCONJ
cana-5210	34	5	technology	technology	NOUN
cana-5210	34	6	,	,	PUNCT
cana-5210	34	7	making	make	VERB
cana-5210	34	8	people	people	NOUN
cana-5210	34	9	's	's	PART
cana-5210	34	10	lives	life	NOUN
cana-5210	34	11	better	well	ADV
cana-5210	34	12	.	.	PUNCT
cana-5210	35	1	new	new	ADJ
cana-5210	35	2	security	security	NOUN
cana-5210	35	3	dangers	danger	NOUN
cana-5210	35	4	emerge	emerge	VERB
cana-5210	35	5	and	and	CCONJ
cana-5210	35	6	grow	grow	VERB
cana-5210	35	7	in	in	ADP
cana-5210	35	8	frequency	frequency	NOUN
cana-5210	35	9	in	in	ADP
cana-5210	35	10	tandem	tandem	NOUN
cana-5210	35	11	with	with	ADP
cana-5210	35	12	technological	technological	ADJ
cana-5210	35	13	advancements	advancement	NOUN
cana-5210	35	14	.	.	PUNCT
cana-5210	36	1	this	this	PRON
cana-5210	36	2	is	be	AUX
cana-5210	36	3	also	also	ADV
cana-5210	36	4	true	true	ADJ
cana-5210	36	5	in	in	ADP
cana-5210	36	6	terms	term	NOUN
cana-5210	36	7	of	of	ADP
cana-5210	36	8	internet	internet	NOUN
cana-5210	36	9	security	security	NOUN
cana-5210	36	10	,	,	PUNCT
cana-5210	36	11	where	where	SCONJ
cana-5210	36	12	incidents	incident	NOUN
cana-5210	36	13	of	of	ADP
cana-5210	36	14	data	datum	NOUN
cana-5210	36	15	loss	loss	NOUN
cana-5210	36	16	,	,	PUNCT
cana-5210	36	17	theft	theft	NOUN
cana-5210	36	18	of	of	ADP
cana-5210	36	19	resources	resource	NOUN
cana-5210	36	20	,	,	PUNCT
cana-5210	36	21	violation	violation	NOUN
cana-5210	36	22	of	of	ADP
cana-5210	36	23	confidentiality	confidentiality	NOUN
cana-5210	36	24	,	,	PUNCT
cana-5210	36	25	social	social	ADJ
cana-5210	36	26	harassment	harassment	NOUN
cana-5210	36	27	,	,	PUNCT
cana-5210	36	28	online	online	ADJ
cana-5210	36	29	fraud	fraud	NOUN
cana-5210	36	30	,	,	PUNCT
cana-5210	36	31	etc	etc	X
cana-5210	36	32	.	.	X
cana-5210	36	33	,	,	PUNCT
cana-5210	36	34	have	have	AUX
cana-5210	36	35	grown	grow	VERB
cana-5210	36	36	significantly	significantly	ADV
cana-5210	36	37	in	in	ADP
cana-5210	36	38	recent	recent	ADJ
cana-5210	36	39	years	year	NOUN
cana-5210	37	1	[	[	X
cana-5210	37	2	5	5	NUM
cana-5210	37	3	]	]	PUNCT
cana-5210	37	4	.	.	PUNCT
cana-5210	38	1	2	2	X
cana-5210	38	2	.	.	X
cana-5210	38	3	literature	literature	PROPN
cana-5210	38	4	review	review	PROPN
cana-5210	38	5	:	:	PUNCT
cana-5210	38	6	md	md	PROPN
cana-5210	38	7	delwar	delwar	PROPN
cana-5210	38	8	hossain	hossain	PROPN
cana-5210	38	9	,	,	PUNCT
cana-5210	38	10	hideya	hideya	PROPN
cana-5210	38	11	ochiai	ochiai	PROPN
cana-5210	38	12	,	,	PUNCT
cana-5210	38	13	and	and	CCONJ
cana-5210	38	14	colleagues	colleague	NOUN
cana-5210	38	15	[	[	X
cana-5210	38	16	6	6	NUM
cana-5210	38	17	]	]	PUNCT
cana-5210	38	18	made	make	VERB
cana-5210	38	19	notable	notable	ADJ
cana-5210	38	20	advancements	advancement	NOUN
cana-5210	38	21	by	by	ADP
cana-5210	38	22	utilizing	utilize	VERB
cana-5210	38	23	a	a	DET
cana-5210	38	24	network	network	NOUN
cana-5210	38	25	attack	attack	NOUN
cana-5210	38	26	detection	detection	NOUN
cana-5210	38	27	system	system	NOUN
cana-5210	38	28	based	base	VERB
cana-5210	38	29	on	on	ADP
cana-5210	38	30	long	long	ADJ
cana-5210	38	31	short	short	ADJ
cana-5210	38	32	-	-	PUNCT
cana-5210	38	33	term	term	NOUN
cana-5210	38	34	memory	memory	NOUN
cana-5210	38	35	(	(	PUNCT
cana-5210	38	36	lstm	lstm	NOUN
cana-5210	38	37	)	)	PUNCT
cana-5210	38	38	.	.	PUNCT
cana-5210	39	1	their	their	PRON
cana-5210	39	2	research	research	NOUN
cana-5210	39	3	demonstrated	demonstrate	VERB
cana-5210	39	4	that	that	SCONJ
cana-5210	39	5	lstm	lstm	NOUN
cana-5210	39	6	could	could	AUX
cana-5210	39	7	identify	identify	VERB
cana-5210	39	8	network	network	NOUN
cana-5210	39	9	attacks	attack	NOUN
cana-5210	39	10	with	with	ADP
cana-5210	39	11	impressive	impressive	ADJ
cana-5210	39	12	accuracy	accuracy	NOUN
cana-5210	39	13	and	and	CCONJ
cana-5210	39	14	efficiency	efficiency	NOUN
cana-5210	39	15	.	.	PUNCT
cana-5210	40	1	by	by	ADP
cana-5210	40	2	optimizing	optimize	VERB
cana-5210	40	3	hyper	hyper	ADJ
cana-5210	40	4	-	-	ADJ
cana-5210	40	5	parameter	parameter	NOUN
cana-5210	40	6	values	value	NOUN
cana-5210	40	7	,	,	PUNCT
cana-5210	40	8	the	the	DET
cana-5210	40	9	proposed	propose	VERB
cana-5210	40	10	lstm	lstm	NOUN
cana-5210	40	11	model	model	NOUN
cana-5210	40	12	achieved	achieve	VERB
cana-5210	40	13	a	a	DET
cana-5210	40	14	detection	detection	NOUN
cana-5210	40	15	rate	rate	NOUN
cana-5210	40	16	of	of	ADP
cana-5210	40	17	0.93	0.93	NUM
cana-5210	40	18	and	and	CCONJ
cana-5210	40	19	an	an	DET
cana-5210	40	20	overall	overall	ADJ
cana-5210	40	21	detection	detection	NOUN
cana-5210	40	22	accuracy	accuracy	NOUN
cana-5210	40	23	of	of	ADP
cana-5210	40	24	99.08	99.08	NUM
cana-5210	40	25	%	%	NOUN
cana-5210	40	26	.	.	PUNCT
cana-5210	41	1	additionally	additionally	ADV
cana-5210	41	2	,	,	PUNCT
cana-5210	41	3	sumathi	sumathi	AUX
cana-5210	41	4	et	et	PROPN
cana-5210	41	5	al	al	PROPN
cana-5210	41	6	.	.	PUNCT
cana-5210	42	1	[	[	X
cana-5210	42	2	7	7	X
cana-5210	42	3	]	]	PUNCT
cana-5210	42	4	introduced	introduce	VERB
cana-5210	42	5	an	an	DET
cana-5210	42	6	lstm	lstm	ADJ
cana-5210	42	7	recurrent	recurrent	ADJ
cana-5210	42	8	neural	neural	ADJ
cana-5210	42	9	network	network	NOUN
cana-5210	42	10	using	use	VERB
cana-5210	42	11	a	a	DET
cana-5210	42	12	gradient	gradient	ADJ
cana-5210	42	13	descent	descent	NOUN
cana-5210	42	14	learning	learn	VERB
cana-5210	42	15	algorithm	algorithm	NOUN
cana-5210	42	16	alongside	alongside	ADP
cana-5210	42	17	a	a	DET
cana-5210	42	18	deep	deep	ADJ
cana-5210	42	19	learning	learning	NOUN
cana-5210	42	20	framework	framework	NOUN
cana-5210	42	21	based	base	VERB
cana-5210	42	22	on	on	ADP
cana-5210	42	23	autoencoder	autoencoder	NOUN
cana-5210	42	24	and	and	CCONJ
cana-5210	42	25	decoder	decoder	NOUN
cana-5210	42	26	techniques	technique	NOUN
cana-5210	42	27	.	.	PUNCT
cana-5210	43	1	its	its	PRON
cana-5210	43	2	application	application	NOUN
cana-5210	43	3	in	in	ADP
cana-5210	43	4	cybersecurity	cybersecurity	NOUN
cana-5210	43	5	allows	allow	VERB
cana-5210	43	6	for	for	ADP
cana-5210	43	7	the	the	DET
cana-5210	43	8	attainment	attainment	NOUN
cana-5210	43	9	of	of	ADP
cana-5210	43	10	adequate	adequate	ADJ
cana-5210	43	11	,	,	PUNCT
cana-5210	43	12	if	if	SCONJ
cana-5210	43	13	not	not	PART
cana-5210	43	14	optimal	optimal	ADJ
cana-5210	43	15	,	,	PUNCT
cana-5210	43	16	solutions	solution	NOUN
cana-5210	43	17	that	that	PRON
cana-5210	43	18	meet	meet	VERB
cana-5210	43	19	the	the	DET
cana-5210	43	20	problem	problem	NOUN
cana-5210	43	21	's	's	PART
cana-5210	43	22	design	design	NOUN
cana-5210	43	23	parameters	parameter	NOUN
cana-5210	43	24	.	.	PUNCT
cana-5210	44	1	distributed	distribute	VERB
cana-5210	44	2	denial	denial	NOUN
cana-5210	44	3	of	of	ADP
cana-5210	44	4	service	service	NOUN
cana-5210	44	5	attacks	attack	NOUN
cana-5210	44	6	(	(	PUNCT
cana-5210	44	7	ddos	ddo	NOUN
cana-5210	44	8	)	)	PUNCT
cana-5210	44	9	are	be	AUX
cana-5210	44	10	one	one	NUM
cana-5210	44	11	kind	kind	NOUN
cana-5210	44	12	of	of	ADP
cana-5210	44	13	cyberattack	cyberattack	NOUN
cana-5210	44	14	in	in	ADP
cana-5210	44	15	which	which	PRON
cana-5210	44	16	hackers	hacker	NOUN
cana-5210	44	17	rapidly	rapidly	ADV
cana-5210	44	18	flood	flood	VERB
cana-5210	44	19	a	a	DET
cana-5210	44	20	network	network	NOUN
cana-5210	44	21	with	with	ADP
cana-5210	44	22	tcp	tcp	NOUN
cana-5210	44	23	or	or	CCONJ
cana-5210	44	24	udp	udp	NOUN
cana-5210	44	25	requests	request	NOUN
cana-5210	44	26	from	from	ADP
cana-5210	44	27	a	a	DET
cana-5210	44	28	wide	wide	ADJ
cana-5210	44	29	variety	variety	NOUN
cana-5210	44	30	of	of	ADP
cana-5210	44	31	sources	source	NOUN
cana-5210	44	32	in	in	ADP
cana-5210	44	33	an	an	DET
cana-5210	44	34	effort	effort	NOUN
cana-5210	44	35	to	to	PART
cana-5210	44	36	overwhelm	overwhelm	VERB
cana-5210	44	37	its	its	PRON
cana-5210	44	38	essential	essential	ADJ
cana-5210	44	39	resources	resource	NOUN
cana-5210	44	40	.	.	PUNCT
cana-5210	45	1	defenders	defender	NOUN
cana-5210	45	2	can	can	AUX
cana-5210	45	3	employ	employ	VERB
cana-5210	45	4	the	the	DET
cana-5210	45	5	metaheuristic	metaheuristic	ADJ
cana-5210	45	6	technique	technique	NOUN
cana-5210	45	7	to	to	PART
cana-5210	45	8	detect	detect	VERB
cana-5210	45	9	the	the	DET
cana-5210	45	10	attacks	attack	NOUN
cana-5210	45	11	as	as	SCONJ
cana-5210	45	12	they	they	PRON
cana-5210	45	13	spread	spread	VERB
cana-5210	45	14	.	.	PUNCT
cana-5210	46	1	research	research	NOUN
cana-5210	46	2	by	by	ADP
cana-5210	46	3	chen	chen	PROPN
cana-5210	46	4	et	et	PROPN
cana-5210	46	5	al	al	PROPN
cana-5210	46	6	.	.	PUNCT
cana-5210	47	1	[	[	X
cana-5210	47	2	8	8	NUM
cana-5210	47	3	]	]	PUNCT
cana-5210	47	4	demonstrates	demonstrate	VERB
cana-5210	47	5	how	how	SCONJ
cana-5210	47	6	this	this	DET
cana-5210	47	7	strategy	strategy	NOUN
cana-5210	47	8	can	can	AUX
cana-5210	47	9	be	be	AUX
cana-5210	47	10	applied	apply	VERB
cana-5210	47	11	to	to	PART
cana-5210	47	12	solve	solve	VERB
cana-5210	47	13	distributed	distribute	VERB
cana-5210	47	14	denial	denial	NOUN
cana-5210	47	15	of	of	ADP
cana-5210	47	16	service	service	NOUN
cana-5210	47	17	issues	issue	NOUN
cana-5210	47	18	with	with	ADP
cana-5210	47	19	low	low	ADJ
cana-5210	47	20	rates	rate	NOUN
cana-5210	47	21	.	.	PUNCT
cana-5210	48	1	finding	find	VERB
cana-5210	48	2	suitable	suitable	ADJ
cana-5210	48	3	metaheuristic	metaheuristic	ADJ
cana-5210	48	4	methods	method	NOUN
cana-5210	48	5	to	to	PART
cana-5210	48	6	solve	solve	VERB
cana-5210	48	7	this	this	DET
cana-5210	48	8	kind	kind	NOUN
cana-5210	48	9	of	of	ADP
cana-5210	48	10	optimization	optimization	NOUN
cana-5210	48	11	problem	problem	NOUN
cana-5210	48	12	is	be	AUX
cana-5210	48	13	in	in	ADP
cana-5210	48	14	[	[	X
cana-5210	48	15	9	9	NUM
cana-5210	48	16	]	]	PUNCT
cana-5210	48	17	,	,	PUNCT
cana-5210	48	18	the	the	DET
cana-5210	48	19	optimisation	optimisation	NOUN
cana-5210	48	20	problem	problem	NOUN
cana-5210	48	21	is	be	AUX
cana-5210	48	22	emphasised	emphasise	VERB
cana-5210	48	23	.	.	PUNCT
cana-5210	49	1	palaniswamy	palaniswamy	NOUN
cana-5210	49	2	and	and	CCONJ
cana-5210	49	3	kandhasamy	kandhasamy	ADJ
cana-5210	49	4	[	[	X
cana-5210	49	5	10	10	NUM
cana-5210	49	6	]	]	PUNCT
cana-5210	49	7	state	state	NOUN
cana-5210	49	8	that	that	SCONJ
cana-5210	49	9	current	current	ADJ
cana-5210	49	10	approaches	approach	NOUN
cana-5210	49	11	use	use	VERB
cana-5210	49	12	a	a	DET
cana-5210	49	13	switching	switch	VERB
cana-5210	49	14	approximation	approximation	NOUN
cana-5210	49	15	factor	factor	NOUN
cana-5210	49	16	that	that	PRON
cana-5210	49	17	establishes	establish	VERB
cana-5210	49	18	upper	upper	ADJ
cana-5210	49	19	and	and	CCONJ
cana-5210	49	20	lower	low	ADJ
cana-5210	49	21	boundaries	boundary	NOUN
cana-5210	49	22	between	between	ADP
cana-5210	49	23	0	0	NUM
cana-5210	49	24	and	and	CCONJ
cana-5210	49	25	1	1	NUM
cana-5210	49	26	.	.	PUNCT
cana-5210	49	27	higher	high	ADJ
cana-5210	49	28	approximations	approximation	NOUN
cana-5210	49	29	typically	typically	ADV
cana-5210	49	30	fall	fall	VERB
cana-5210	49	31	between	between	ADP
cana-5210	49	32	0.7	0.7	NUM
cana-5210	49	33	and	and	CCONJ
cana-5210	49	34	0.9	0.9	NUM
cana-5210	49	35	,	,	PUNCT
cana-5210	49	36	whilst	whilst	SCONJ
cana-5210	49	37	lower	low	ADJ
cana-5210	49	38	approximations	approximation	NOUN
cana-5210	49	39	typically	typically	ADV
cana-5210	49	40	fall	fall	VERB
cana-5210	49	41	between	between	ADP
cana-5210	49	42	0.1	0.1	NUM
cana-5210	49	43	and	and	CCONJ
cana-5210	49	44	0.3	0.3	NUM
cana-5210	49	45	.	.	PUNCT
cana-5210	50	1	metaheuristic	metaheuristic	ADJ
cana-5210	50	2	search	search	NOUN
cana-5210	50	3	algorithms	algorithm	NOUN
cana-5210	50	4	can	can	AUX
cana-5210	50	5	be	be	AUX
cana-5210	50	6	made	make	VERB
cana-5210	50	7	much	much	ADV
cana-5210	50	8	more	more	ADV
cana-5210	50	9	efficient	efficient	ADJ
cana-5210	50	10	by	by	ADP
cana-5210	50	11	adjusting	adjust	VERB
cana-5210	50	12	their	their	PRON
cana-5210	50	13	parameters	parameter	NOUN
cana-5210	50	14	[	[	X
cana-5210	50	15	11	11	NUM
cana-5210	50	16	]	]	PUNCT
cana-5210	50	17	.	.	PUNCT
cana-5210	51	1	as	as	ADP
cana-5210	51	2	part	part	NOUN
cana-5210	51	3	of	of	ADP
cana-5210	51	4	optimising	optimise	VERB
cana-5210	51	5	network	network	NOUN
cana-5210	51	6	traffic	traffic	NOUN
cana-5210	51	7	features	feature	NOUN
cana-5210	51	8	,	,	PUNCT
cana-5210	51	9	it	it	PRON
cana-5210	51	10	is	be	AUX
cana-5210	51	11	necessary	necessary	ADJ
cana-5210	51	12	to	to	PART
cana-5210	51	13	examine	examine	VERB
cana-5210	51	14	the	the	DET
cana-5210	51	15	values	value	NOUN
cana-5210	51	16	of	of	ADP
cana-5210	51	17	particular	particular	ADJ
cana-5210	51	18	parameters	parameter	NOUN
cana-5210	51	19	in	in	ADP
cana-5210	51	20	order	order	NOUN
cana-5210	51	21	to	to	PART
cana-5210	51	22	enhance	enhance	VERB
cana-5210	51	23	these	these	DET
cana-5210	51	24	algorithms	algorithm	NOUN
cana-5210	51	25	.	.	PUNCT
cana-5210	52	1	a	a	DET
cana-5210	52	2	more	more	ADV
cana-5210	52	3	accurate	accurate	ADJ
cana-5210	52	4	detection	detection	NOUN
cana-5210	52	5	of	of	ADP
cana-5210	52	6	this	this	DET
cana-5210	52	7	kind	kind	NOUN
cana-5210	52	8	of	of	ADP
cana-5210	52	9	attack	attack	NOUN
cana-5210	52	10	can	can	AUX
cana-5210	52	11	be	be	AUX
cana-5210	52	12	achieved	achieve	VERB
cana-5210	52	13	by	by	ADP
cana-5210	52	14	determining	determine	VERB
cana-5210	52	15	suitable	suitable	ADJ
cana-5210	52	16	values	value	NOUN
cana-5210	52	17	.	.	PUNCT
cana-5210	53	1	table.1	table.1	VERB
cana-5210	53	2	provides	provide	VERB
cana-5210	53	3	the	the	DET
cana-5210	53	4	comparison	comparison	NOUN
cana-5210	53	5	of	of	ADP
cana-5210	53	6	previous	previous	ADJ
cana-5210	53	7	research	research	NOUN
cana-5210	53	8	done	do	VERB
cana-5210	53	9	in	in	ADP
cana-5210	53	10	the	the	DET
cana-5210	53	11	attack	attack	NOUN
cana-5210	53	12	detection	detection	NOUN
cana-5210	53	13	.	.	PUNCT
cana-5210	54	1	communications	communication	NOUN
cana-5210	54	2	on	on	ADP
cana-5210	54	3	applied	apply	VERB
cana-5210	54	4	nonlinear	nonlinear	ADJ
cana-5210	54	5	analysis	analysis	NOUN
cana-5210	54	6	issn	issn	NOUN
cana-5210	54	7	:	:	PUNCT
cana-5210	54	8	1074	1074	NUM
cana-5210	54	9	-	-	PUNCT
cana-5210	54	10	133x	133x	NUM
cana-5210	54	11	vol	vol	VERB
cana-5210	54	12	32	32	NUM
cana-5210	54	13	no	no	NOUN
cana-5210	54	14	.	.	PUNCT
cana-5210	55	1	10s	10	NOUN
cana-5210	55	2	(	(	PUNCT
cana-5210	55	3	2025	2025	NUM
cana-5210	55	4	)	)	PUNCT
cana-5210	55	5	1154	1154	NUM
cana-5210	55	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	55	7	table.1	table.1	PROPN
cana-5210	55	8	.	.	PUNCT
cana-5210	56	1	summary	summary	NOUN
cana-5210	56	2	of	of	ADP
cana-5210	56	3	related	related	ADJ
cana-5210	56	4	studies	study	NOUN
cana-5210	56	5	on	on	ADP
cana-5210	56	6	network	network	NOUN
cana-5210	56	7	intrusion	intrusion	NOUN
cana-5210	56	8	detection	detection	NOUN
cana-5210	56	9	study	study	NOUN
cana-5210	56	10	methodology	methodology	NOUN
cana-5210	56	11	results	result	VERB
cana-5210	56	12	limitations	limitation	NOUN
cana-5210	56	13	md	md	PROPN
cana-5210	56	14	delwar	delwar	VERB
cana-5210	56	15	hossain	hossain	PROPN
cana-5210	56	16	et	et	PROPN
cana-5210	56	17	al.[6	al.[6	PROPN
cana-5210	56	18	]	]	PUNCT
cana-5210	56	19	lstm	lstm	PROPN
cana-5210	56	20	-	-	PUNCT
cana-5210	56	21	based	base	VERB
cana-5210	56	22	attack	attack	NOUN
cana-5210	56	23	detection	detection	NOUN
cana-5210	56	24	with	with	ADP
cana-5210	56	25	optimized	optimize	VERB
cana-5210	56	26	hyperparameters	hyperparameter	NOUN
cana-5210	56	27	99.08	99.08	NUM
cana-5210	56	28	%	%	NOUN
cana-5210	56	29	detection	detection	NOUN
cana-5210	56	30	accuracy	accuracy	NOUN
cana-5210	56	31	limited	limited	ADJ
cana-5210	56	32	scalability	scalability	NOUN
cana-5210	56	33	for	for	ADP
cana-5210	56	34	largescale	largescale	NOUN
cana-5210	56	35	networks	network	NOUN
cana-5210	56	36	sumathi	sumathi	AUX
cana-5210	56	37	et	et	NOUN
cana-5210	56	38	al.[7	al.[7	PROPN
cana-5210	56	39	]	]	PUNCT
cana-5210	56	40	autoencoder	autoencoder	NOUN
cana-5210	56	41	-	-	PUNCT
cana-5210	56	42	based	base	VERB
cana-5210	56	43	lstm	lstm	PROPN
cana-5210	56	44	recurrent	recurrent	ADJ
cana-5210	56	45	neural	neural	ADJ
cana-5210	56	46	network	network	NOUN
cana-5210	56	47	high	high	ADJ
cana-5210	56	48	detection	detection	NOUN
cana-5210	56	49	accuracy	accuracy	NOUN
cana-5210	56	50	with	with	ADP
cana-5210	56	51	parameter	parameter	NOUN
cana-5210	56	52	tuning	tune	VERB
cana-5210	56	53	complex	complex	ADJ
cana-5210	56	54	hyperparameter	hyperparameter	NOUN
cana-5210	56	55	tuning	tune	VERB
cana-5210	56	56	required	require	VERB
cana-5210	56	57	chen	chen	PROPN
cana-5210	56	58	et	et	PROPN
cana-5210	56	59	al.[8	al.[8	PROPN
cana-5210	56	60	]	]	PUNCT
cana-5210	56	61	ant	ant	ADJ
cana-5210	56	62	-	-	PUNCT
cana-5210	56	63	agent	agent	NOUN
cana-5210	56	64	framework	framework	NOUN
cana-5210	56	65	for	for	ADP
cana-5210	56	66	detecting	detect	VERB
cana-5210	56	67	dos	do	NOUN
cana-5210	56	68	attacks	attack	NOUN
cana-5210	56	69	effective	effective	ADJ
cana-5210	56	70	low	low	ADJ
cana-5210	56	71	-	-	PUNCT
cana-5210	56	72	rate	rate	NOUN
cana-5210	56	73	dos	do	NOUN
cana-5210	56	74	detection	detection	NOUN
cana-5210	56	75	difficulty	difficulty	NOUN
cana-5210	56	76	in	in	ADP
cana-5210	56	77	extending	extend	VERB
cana-5210	56	78	to	to	ADP
cana-5210	56	79	high	high	ADJ
cana-5210	56	80	-	-	PUNCT
cana-5210	56	81	rate	rate	NOUN
cana-5210	56	82	attacks	attack	NOUN
cana-5210	56	83	palaniswamy	palaniswamy	NOUN
cana-5210	56	84	&	&	CCONJ
cana-5210	56	85	kandhasamy[9	kandhasamy[9	PROPN
cana-5210	56	86	]	]	X
cana-5210	56	87	metaheuristic	metaheuristic	ADJ
cana-5210	56	88	-	-	PUNCT
cana-5210	56	89	based	base	VERB
cana-5210	56	90	optimization	optimization	NOUN
cana-5210	56	91	for	for	ADP
cana-5210	56	92	network	network	NOUN
cana-5210	56	93	traffic	traffic	NOUN
cana-5210	56	94	improved	improve	VERB
cana-5210	56	95	efficiency	efficiency	NOUN
cana-5210	56	96	with	with	ADP
cana-5210	56	97	optimized	optimize	VERB
cana-5210	56	98	parameters	parameter	NOUN
cana-5210	56	99	challenges	challenge	NOUN
cana-5210	56	100	in	in	ADP
cana-5210	56	101	balancing	balance	VERB
cana-5210	56	102	resource	resource	NOUN
cana-5210	56	103	efficiency	efficiency	NOUN
cana-5210	56	104	vasilomanolakis	vasilomanolaki	NOUN
cana-5210	56	105	et	et	NOUN
cana-5210	56	106	al.[12	al.[12	PROPN
cana-5210	56	107	]	]	PUNCT
cana-5210	56	108	collaborative	collaborative	ADJ
cana-5210	56	109	intrusion	intrusion	NOUN
cana-5210	56	110	detection	detection	NOUN
cana-5210	56	111	taxonomy	taxonomy	NOUN
cana-5210	56	112	and	and	CCONJ
cana-5210	56	113	survey	survey	NOUN
cana-5210	56	114	framework	framework	NOUN
cana-5210	56	115	for	for	ADP
cana-5210	56	116	collaborative	collaborative	ADJ
cana-5210	56	117	detection	detection	NOUN
cana-5210	56	118	systems	system	NOUN
cana-5210	56	119	theoretical	theoretical	ADJ
cana-5210	56	120	framework	framework	NOUN
cana-5210	56	121	,	,	PUNCT
cana-5210	56	122	lacks	lack	VERB
cana-5210	56	123	practical	practical	ADJ
cana-5210	56	124	evaluation	evaluation	NOUN
cana-5210	56	125	islam	islam	PROPN
cana-5210	56	126	et	et	PROPN
cana-5210	56	127	al.[13	al.[13	NOUN
cana-5210	56	128	]	]	PUNCT
cana-5210	56	129	machine	machine	NOUN
cana-5210	56	130	learning	learning	NOUN
cana-5210	56	131	-	-	PUNCT
cana-5210	56	132	based	base	VERB
cana-5210	56	133	ddos	ddos	NOUN
cana-5210	56	134	detection	detection	NOUN
cana-5210	56	135	in	in	ADP
cana-5210	56	136	iot	iot	PROPN
cana-5210	56	137	systems	system	NOUN
cana-5210	56	138	sustainable	sustainable	ADJ
cana-5210	56	139	ddos	ddo	NOUN
cana-5210	56	140	detection	detection	NOUN
cana-5210	56	141	in	in	ADP
cana-5210	56	142	iot	iot	ADJ
cana-5210	56	143	environments	environment	NOUN
cana-5210	56	144	focuses	focus	VERB
cana-5210	56	145	on	on	ADP
cana-5210	56	146	iot	iot	ADJ
cana-5210	56	147	,	,	PUNCT
cana-5210	56	148	limited	limited	ADJ
cana-5210	56	149	scalability	scalability	NOUN
cana-5210	56	150	for	for	ADP
cana-5210	56	151	general	general	ADJ
cana-5210	56	152	networks	network	NOUN
cana-5210	56	153	george	george	PROPN
cana-5210	56	154	et	et	PROPN
cana-5210	56	155	al.[14	al.[14	PROPN
cana-5210	56	156	]	]	PUNCT
cana-5210	56	157	latency	latency	NOUN
cana-5210	56	158	-	-	PUNCT
cana-5210	56	159	sensitive	sensitive	ADJ
cana-5210	56	160	messaging	messaging	NOUN
cana-5210	56	161	system	system	NOUN
cana-5210	56	162	for	for	ADP
cana-5210	56	163	iot	iot	ADJ
cana-5210	56	164	edge	edge	NOUN
cana-5210	56	165	improved	improve	VERB
cana-5210	56	166	system	system	NOUN
cana-5210	56	167	latency	latency	NOUN
cana-5210	56	168	in	in	ADP
cana-5210	56	169	edge	edge	NOUN
cana-5210	56	170	devices	device	NOUN
cana-5210	56	171	application	application	NOUN
cana-5210	56	172	-	-	PUNCT
cana-5210	56	173	specific	specific	ADJ
cana-5210	56	174	solution	solution	NOUN
cana-5210	56	175	,	,	PUNCT
cana-5210	56	176	not	not	PART
cana-5210	56	177	generalizable	generalizable	ADJ
cana-5210	56	178	gupta	gupta	NOUN
cana-5210	56	179	et	et	NOUN
cana-5210	56	180	al.[15	al.[15	PROPN
cana-5210	56	181	]	]	PUNCT
cana-5210	56	182	security	security	NOUN
cana-5210	56	183	and	and	CCONJ
cana-5210	56	184	privacy	privacy	NOUN
cana-5210	56	185	solutions	solution	NOUN
cana-5210	56	186	for	for	ADP
cana-5210	56	187	smart	smart	ADJ
cana-5210	56	188	farming	farming	NOUN
cana-5210	56	189	enhanced	enhanced	ADJ
cana-5210	56	190	privacy	privacy	NOUN
cana-5210	56	191	and	and	CCONJ
cana-5210	56	192	security	security	NOUN
cana-5210	56	193	for	for	ADP
cana-5210	56	194	smart	smart	ADJ
cana-5210	56	195	farms	farm	NOUN
cana-5210	56	196	narrow	narrow	ADJ
cana-5210	56	197	focus	focus	NOUN
cana-5210	56	198	on	on	ADP
cana-5210	56	199	smart	smart	ADJ
cana-5210	56	200	farming	farming	NOUN
cana-5210	56	201	use	use	NOUN
cana-5210	56	202	cases	case	NOUN
cana-5210	56	203	3	3	NUM
cana-5210	56	204	.	.	PUNCT
cana-5210	56	205	proposed	propose	VERB
cana-5210	56	206	methodology	methodology	NOUN
cana-5210	56	207	packet	packet	NOUN
cana-5210	56	208	sizes	size	NOUN
cana-5210	56	209	,	,	PUNCT
cana-5210	56	210	flow	flow	NOUN
cana-5210	56	211	intervals	interval	NOUN
cana-5210	56	212	,	,	PUNCT
cana-5210	56	213	and	and	CCONJ
cana-5210	56	214	idle	idle	ADJ
cana-5210	56	215	durations	duration	NOUN
cana-5210	56	216	are	be	AUX
cana-5210	56	217	only	only	ADV
cana-5210	56	218	a	a	DET
cana-5210	56	219	few	few	ADJ
cana-5210	56	220	of	of	ADP
cana-5210	56	221	the	the	DET
cana-5210	56	222	characteristics	characteristic	NOUN
cana-5210	56	223	that	that	PRON
cana-5210	56	224	characterize	characterize	VERB
cana-5210	56	225	the	the	DET
cana-5210	56	226	network	network	NOUN
cana-5210	56	227	packet	packet	NOUN
cana-5210	56	228	statistics	statistic	NOUN
cana-5210	56	229	included	include	VERB
cana-5210	56	230	in	in	ADP
cana-5210	56	231	the	the	DET
cana-5210	56	232	dataset	dataset	NOUN
cana-5210	56	233	utilized	utilize	VERB
cana-5210	56	234	by	by	ADP
cana-5210	56	235	this	this	DET
cana-5210	56	236	system	system	NOUN
cana-5210	56	237	.	.	PUNCT
cana-5210	57	1	the	the	DET
cana-5210	57	2	'	'	PUNCT
cana-5210	57	3	label	label	NOUN
cana-5210	57	4	'	'	PUNCT
cana-5210	57	5	column	column	NOUN
cana-5210	57	6	,	,	PUNCT
cana-5210	57	7	which	which	PRON
cana-5210	57	8	indicates	indicate	VERB
cana-5210	57	9	the	the	DET
cana-5210	57	10	nature	nature	NOUN
cana-5210	57	11	of	of	ADP
cana-5210	57	12	the	the	DET
cana-5210	57	13	assault	assault	NOUN
cana-5210	57	14	or	or	CCONJ
cana-5210	57	15	the	the	DET
cana-5210	57	16	presence	presence	NOUN
cana-5210	57	17	or	or	CCONJ
cana-5210	57	18	absence	absence	NOUN
cana-5210	57	19	of	of	ADP
cana-5210	57	20	benign	benign	ADJ
cana-5210	57	21	(	(	PUNCT
cana-5210	57	22	normal	normal	ADJ
cana-5210	57	23	)	)	PUNCT
cana-5210	57	24	traffic	traffic	NOUN
cana-5210	57	25	,	,	PUNCT
cana-5210	57	26	is	be	AUX
cana-5210	57	27	the	the	DET
cana-5210	57	28	intended	intend	VERB
cana-5210	57	29	variable	variable	NOUN
cana-5210	57	30	for	for	ADP
cana-5210	57	31	classification	classification	NOUN
cana-5210	57	32	.	.	PUNCT
cana-5210	58	1	the	the	DET
cana-5210	58	2	four	four	NUM
cana-5210	58	3	labels	label	NOUN
cana-5210	58	4	in	in	ADP
cana-5210	58	5	the	the	DET
cana-5210	58	6	dataset	dataset	NOUN
cana-5210	58	7	are	be	AUX
cana-5210	58	8	:	:	PUNCT
cana-5210	58	9	benign	benign	ADJ
cana-5210	58	10	:	:	PUNCT
cana-5210	58	11	non	non	ADJ
cana-5210	58	12	-	-	ADJ
cana-5210	58	13	attack	attack	ADJ
cana-5210	58	14	(	(	PUNCT
cana-5210	58	15	normal	normal	ADJ
cana-5210	58	16	)	)	PUNCT
cana-5210	58	17	traffic	traffic	NOUN
cana-5210	58	18	.	.	PUNCT
cana-5210	59	1	ddos	ddos	NOUN
cana-5210	59	2	:	:	PUNCT
cana-5210	59	3	distributed	distribute	VERB
cana-5210	59	4	denial	denial	NOUN
cana-5210	59	5	of	of	ADP
cana-5210	59	6	service	service	NOUN
cana-5210	59	7	attack	attack	NOUN
cana-5210	59	8	.	.	PUNCT
cana-5210	60	1	portscan	portscan	NOUN
cana-5210	60	2	:	:	PUNCT
cana-5210	60	3	port	port	NOUN
cana-5210	60	4	scanning	scan	VERB
cana-5210	60	5	attack	attack	NOUN
cana-5210	60	6	.	.	PUNCT
cana-5210	61	1	dos	do	NOUN
cana-5210	61	2	:	:	PUNCT
cana-5210	61	3	denial	denial	NOUN
cana-5210	61	4	of	of	ADP
cana-5210	61	5	service	service	NOUN
cana-5210	61	6	attack	attack	NOUN
cana-5210	61	7	.	.	PUNCT
cana-5210	62	1	each	each	DET
cana-5210	62	2	row	row	NOUN
cana-5210	62	3	in	in	ADP
cana-5210	62	4	the	the	DET
cana-5210	62	5	csv	csv	NOUN
cana-5210	62	6	file	file	NOUN
cana-5210	62	7	represents	represent	VERB
cana-5210	62	8	a	a	DET
cana-5210	62	9	network	network	NOUN
cana-5210	62	10	traffic	traffic	NOUN
cana-5210	62	11	occurrence	occurrence	NOUN
cana-5210	62	12	,	,	PUNCT
cana-5210	62	13	while	while	SCONJ
cana-5210	62	14	the	the	DET
cana-5210	62	15	columns	column	NOUN
cana-5210	62	16	show	show	VERB
cana-5210	62	17	different	different	ADJ
cana-5210	62	18	traffic	traffic	NOUN
cana-5210	62	19	characteristics	characteristic	NOUN
cana-5210	62	20	.	.	PUNCT
cana-5210	63	1	3.1.data	3.1.data	NUM
cana-5210	63	2	preprocessing	preprocessing	NOUN
cana-5210	63	3	for	for	ADP
cana-5210	63	4	the	the	DET
cana-5210	63	5	model	model	NOUN
cana-5210	63	6	to	to	PART
cana-5210	63	7	work	work	VERB
cana-5210	63	8	as	as	SCONJ
cana-5210	63	9	intended	intend	VERB
cana-5210	63	10	,	,	PUNCT
cana-5210	63	11	data	datum	NOUN
cana-5210	63	12	preparation	preparation	NOUN
cana-5210	63	13	is	be	AUX
cana-5210	63	14	an	an	DET
cana-5210	63	15	absolute	absolute	ADJ
cana-5210	63	16	must	must	NOUN
cana-5210	63	17	.	.	PUNCT
cana-5210	64	1	the	the	DET
cana-5210	64	2	diversity	diversity	NOUN
cana-5210	64	3	and	and	CCONJ
cana-5210	64	4	quick	quick	ADJ
cana-5210	64	5	growth	growth	NOUN
cana-5210	64	6	of	of	ADP
cana-5210	64	7	machine	machine	NOUN
cana-5210	64	8	learning	learn	VERB
cana-5210	64	9	applications	application	NOUN
cana-5210	64	10	across	across	ADP
cana-5210	64	11	all	all	DET
cana-5210	64	12	technological	technological	ADJ
cana-5210	64	13	domains	domain	NOUN
cana-5210	64	14	and	and	CCONJ
cana-5210	64	15	in	in	ADP
cana-5210	64	16	solving	solve	VERB
cana-5210	64	17	real	real	ADJ
cana-5210	64	18	-	-	PUNCT
cana-5210	64	19	world	world	NOUN
cana-5210	64	20	problems	problem	NOUN
cana-5210	64	21	are	be	AUX
cana-5210	64	22	ongoing	ongoing	ADJ
cana-5210	64	23	trends	trend	NOUN
cana-5210	64	24	.	.	PUNCT
cana-5210	65	1	numerous	numerous	ADJ
cana-5210	65	2	sources	source	NOUN
cana-5210	65	3	,	,	PUNCT
cana-5210	65	4	such	such	ADJ
cana-5210	65	5	as	as	ADP
cana-5210	65	6	people	people	NOUN
cana-5210	65	7	and	and	CCONJ
cana-5210	65	8	sensors	sensor	NOUN
cana-5210	65	9	,	,	PUNCT
cana-5210	65	10	can	can	AUX
cana-5210	65	11	provide	provide	VERB
cana-5210	65	12	data	datum	NOUN
cana-5210	65	13	in	in	ADP
cana-5210	65	14	both	both	DET
cana-5210	65	15	numerical	numerical	ADJ
cana-5210	65	16	communications	communication	NOUN
cana-5210	65	17	on	on	ADP
cana-5210	65	18	applied	apply	VERB
cana-5210	65	19	nonlinear	nonlinear	ADJ
cana-5210	65	20	analysis	analysis	NOUN
cana-5210	65	21	issn	issn	NOUN
cana-5210	65	22	:	:	PUNCT
cana-5210	65	23	1074	1074	NUM
cana-5210	65	24	-	-	PUNCT
cana-5210	65	25	133x	133x	NUM
cana-5210	65	26	vol	vol	VERB
cana-5210	65	27	32	32	NUM
cana-5210	65	28	no	no	NOUN
cana-5210	65	29	.	.	PUNCT
cana-5210	65	30	10s	10	NOUN
cana-5210	65	31	(	(	PUNCT
cana-5210	65	32	2025	2025	NUM
cana-5210	65	33	)	)	PUNCT
cana-5210	65	34	1155	1155	NUM
cana-5210	65	35	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	65	36	and	and	CCONJ
cana-5210	65	37	symbolic	symbolic	ADJ
cana-5210	65	38	formats	format	NOUN
cana-5210	65	39	,	,	PUNCT
cana-5210	65	40	with	with	ADP
cana-5210	65	41	differing	differ	VERB
cana-5210	65	42	levels	level	NOUN
cana-5210	65	43	of	of	ADP
cana-5210	65	44	complexity	complexity	NOUN
cana-5210	65	45	and	and	CCONJ
cana-5210	65	46	dependability	dependability	NOUN
cana-5210	65	47	[	[	X
cana-5210	65	48	12	12	NUM
cana-5210	65	49	]	]	PUNCT
cana-5210	65	50	.	.	PUNCT
cana-5210	66	1	here	here	ADV
cana-5210	66	2	's	be	AUX
cana-5210	66	3	a	a	DET
cana-5210	66	4	detailed	detailed	ADJ
cana-5210	66	5	breakdown	breakdown	NOUN
cana-5210	66	6	of	of	ADP
cana-5210	66	7	the	the	DET
cana-5210	66	8	steps	step	NOUN
cana-5210	66	9	involved	involve	VERB
cana-5210	66	10	in	in	ADP
cana-5210	66	11	preprocessing	preprocessing	NOUN
cana-5210	66	12	:	:	PUNCT
cana-5210	66	13	i.	i.	NOUN
cana-5210	66	14	handling	handle	VERB
cana-5210	66	15	missing	miss	VERB
cana-5210	66	16	values	value	NOUN
cana-5210	66	17	missing	miss	VERB
cana-5210	66	18	values	value	NOUN
cana-5210	66	19	can	can	AUX
cana-5210	66	20	degrade	degrade	VERB
cana-5210	66	21	a	a	DET
cana-5210	66	22	machine	machine	NOUN
cana-5210	66	23	learning	learn	VERB
cana-5210	66	24	model	model	NOUN
cana-5210	66	25	's	's	PART
cana-5210	66	26	performance	performance	NOUN
cana-5210	66	27	.	.	PUNCT
cana-5210	67	1	since	since	SCONJ
cana-5210	67	2	your	your	PRON
cana-5210	67	3	dataset	dataset	NOUN
cana-5210	67	4	has	have	VERB
cana-5210	67	5	no	no	DET
cana-5210	67	6	missing	miss	VERB
cana-5210	67	7	values	value	NOUN
cana-5210	67	8	,	,	PUNCT
cana-5210	67	9	this	this	DET
cana-5210	67	10	step	step	NOUN
cana-5210	67	11	is	be	AUX
cana-5210	67	12	bypassed	bypass	VERB
cana-5210	67	13	.	.	PUNCT
cana-5210	68	1	if	if	SCONJ
cana-5210	68	2	there	there	PRON
cana-5210	68	3	were	be	VERB
cana-5210	68	4	missing	miss	VERB
cana-5210	68	5	values	value	NOUN
cana-5210	68	6	,	,	PUNCT
cana-5210	68	7	techniques	technique	NOUN
cana-5210	68	8	like	like	AUX
cana-5210	68	9	mean	mean	VERB
cana-5210	68	10	,	,	PUNCT
cana-5210	68	11	median	median	ADJ
cana-5210	68	12	imputation	imputation	NOUN
cana-5210	68	13	,	,	PUNCT
cana-5210	68	14	or	or	CCONJ
cana-5210	68	15	interpolation	interpolation	NOUN
cana-5210	68	16	would	would	AUX
cana-5210	68	17	be	be	AUX
cana-5210	68	18	used	use	VERB
cana-5210	68	19	.	.	PUNCT
cana-5210	69	1	ii	ii	X
cana-5210	69	2	.	.	PUNCT
cana-5210	69	3	label	label	NOUN
cana-5210	69	4	encoding	encode	VERB
cana-5210	69	5	your	your	PRON
cana-5210	69	6	dataset	dataset	NOUN
cana-5210	69	7	's	's	PART
cana-5210	69	8	target	target	NOUN
cana-5210	69	9	variable	variable	NOUN
cana-5210	69	10	,	,	PUNCT
cana-5210	69	11	label	label	NOUN
cana-5210	69	12	,	,	PUNCT
cana-5210	69	13	contains	contain	VERB
cana-5210	69	14	categorical	categorical	ADJ
cana-5210	69	15	values	value	NOUN
cana-5210	69	16	(	(	PUNCT
cana-5210	69	17	benign	benign	ADJ
cana-5210	69	18	,	,	PUNCT
cana-5210	69	19	ddos	ddo	NOUN
cana-5210	69	20	,	,	PUNCT
cana-5210	69	21	etc	etc	X
cana-5210	69	22	.	.	X
cana-5210	69	23	)	)	PUNCT
cana-5210	69	24	that	that	PRON
cana-5210	69	25	need	need	VERB
cana-5210	69	26	to	to	PART
cana-5210	69	27	be	be	AUX
cana-5210	69	28	converted	convert	VERB
cana-5210	69	29	into	into	ADP
cana-5210	69	30	numerical	numerical	ADJ
cana-5210	69	31	values	value	NOUN
cana-5210	69	32	for	for	ADP
cana-5210	69	33	compatibility	compatibility	NOUN
cana-5210	69	34	with	with	ADP
cana-5210	69	35	machine	machine	NOUN
cana-5210	69	36	learning	learn	VERB
cana-5210	69	37	algorithms	algorithm	NOUN
cana-5210	69	38	.	.	PUNCT
cana-5210	70	1	this	this	PRON
cana-5210	70	2	is	be	AUX
cana-5210	70	3	done	do	VERB
cana-5210	70	4	using	use	VERB
cana-5210	70	5	label	label	NOUN
cana-5210	70	6	encoding	encoding	NOUN
cana-5210	70	7	:	:	PUNCT
cana-5210	70	8	for	for	ADP
cana-5210	70	9	a	a	DET
cana-5210	70	10	label	label	NOUN
cana-5210	70	11	y	y	NOUN
cana-5210	70	12	:	:	PUNCT
cana-5210	70	13	encoded	encode	VERB
cana-5210	70	14	 	 	SPACE
cana-5210	70	15	label=	label=	NUM
cana-5210	70	16	iii	iii	PROPN
cana-5210	70	17	.	.	PROPN
cana-5210	70	18	feature	feature	NOUN
cana-5210	70	19	selection	selection	NOUN
cana-5210	70	20	feature	feature	NOUN
cana-5210	70	21	selection	selection	NOUN
cana-5210	70	22	helps	helps	AUX
cana-5210	70	23	identify	identify	VERB
cana-5210	70	24	the	the	DET
cana-5210	70	25	most	most	ADV
cana-5210	70	26	relevant	relevant	ADJ
cana-5210	70	27	features	feature	NOUN
cana-5210	70	28	correlated	correlate	VERB
cana-5210	70	29	with	with	ADP
cana-5210	70	30	the	the	DET
cana-5210	70	31	target	target	NOUN
cana-5210	70	32	variable	variable	NOUN
cana-5210	70	33	.	.	PUNCT
cana-5210	71	1	in	in	ADP
cana-5210	71	2	this	this	DET
cana-5210	71	3	study	study	NOUN
cana-5210	71	4	,	,	PUNCT
cana-5210	71	5	correlation	correlation	NOUN
cana-5210	71	6	analysis	analysis	NOUN
cana-5210	71	7	is	be	AUX
cana-5210	71	8	used	use	VERB
cana-5210	71	9	,	,	PUNCT
cana-5210	71	10	and	and	CCONJ
cana-5210	71	11	features	feature	VERB
cana-5210	71	12	with	with	ADP
cana-5210	71	13	a	a	DET
cana-5210	71	14	correlation	correlation	NOUN
cana-5210	71	15	threshold	threshold	NOUN
cana-5210	71	16	r≥0.3	r≥0.3	PRON
cana-5210	71	17	are	be	AUX
cana-5210	71	18	selected	select	VERB
cana-5210	71	19	.	.	PUNCT
cana-5210	72	1	the	the	DET
cana-5210	72	2	pearson	pearson	NOUN
cana-5210	72	3	correlation(r	correlation(r	PROPN
cana-5210	72	4	)	)	PUNCT
cana-5210	72	5	coefficient	coefficient	NOUN
cana-5210	72	6	is	be	AUX
cana-5210	72	7	calculated	calculate	VERB
cana-5210	72	8	as	as	ADP
cana-5210	72	9	:	:	PUNCT
cana-5210	72	10	(	(	PUNCT
cana-5210	72	11	1	1	X
cana-5210	72	12	)	)	PUNCT
cana-5210	72	13	where	where	SCONJ
cana-5210	72	14	:	:	PUNCT
cana-5210	72	15	xi	xi	PROPN
cana-5210	72	16	,	,	PUNCT
cana-5210	72	17	yi	yi	PROPN
cana-5210	72	18	:	:	PUNCT
cana-5210	72	19	data	datum	NOUN
cana-5210	72	20	points	point	NOUN
cana-5210	72	21	of	of	ADP
cana-5210	72	22	features	feature	NOUN
cana-5210	72	23	and	and	CCONJ
cana-5210	72	24	labels	label	NOUN
cana-5210	72	25	.	.	PUNCT
cana-5210	73	1	xˉ,yˉ	xˉ,yˉ	NOUN
cana-5210	73	2	:	:	PUNCT
cana-5210	74	1	mean	mean	VERB
cana-5210	74	2	values	value	NOUN
cana-5210	74	3	of	of	ADP
cana-5210	74	4	features	feature	NOUN
cana-5210	74	5	and	and	CCONJ
cana-5210	74	6	labels	label	NOUN
cana-5210	74	7	.	.	PUNCT
cana-5210	75	1	the	the	PRON
cana-5210	75	2	stronger	strong	ADJ
cana-5210	75	3	the	the	DET
cana-5210	75	4	correlation	correlation	NOUN
cana-5210	75	5	between	between	ADP
cana-5210	75	6	the	the	DET
cana-5210	75	7	characteristic	characteristic	NOUN
cana-5210	75	8	and	and	CCONJ
cana-5210	75	9	the	the	DET
cana-5210	75	10	target	target	NOUN
cana-5210	75	11	variable	variable	NOUN
cana-5210	75	12	,	,	PUNCT
cana-5210	75	13	the	the	PRON
cana-5210	75	14	higher	high	ADJ
cana-5210	75	15	the	the	DET
cana-5210	75	16	absolute	absolute	ADJ
cana-5210	75	17	value	value	NOUN
cana-5210	75	18	of	of	ADP
cana-5210	75	19	r.	r.	PROPN
cana-5210	75	20	iv	iv	PROPN
cana-5210	75	21	.	.	PUNCT
cana-5210	76	1	feature	feature	NOUN
cana-5210	76	2	scaling	scale	VERB
cana-5210	76	3	by	by	ADP
cana-5210	76	4	standardising	standardise	VERB
cana-5210	76	5	the	the	DET
cana-5210	76	6	data	datum	NOUN
cana-5210	76	7	,	,	PUNCT
cana-5210	76	8	feature	feature	NOUN
cana-5210	76	9	scaling	scaling	NOUN
cana-5210	76	10	ensures	ensure	VERB
cana-5210	76	11	that	that	SCONJ
cana-5210	76	12	each	each	DET
cana-5210	76	13	feature	feature	NOUN
cana-5210	76	14	makes	make	VERB
cana-5210	76	15	an	an	DET
cana-5210	76	16	equal	equal	ADJ
cana-5210	76	17	contribution	contribution	NOUN
cana-5210	76	18	to	to	ADP
cana-5210	76	19	the	the	DET
cana-5210	76	20	learning	learning	NOUN
cana-5210	76	21	of	of	ADP
cana-5210	76	22	the	the	DET
cana-5210	76	23	model	model	NOUN
cana-5210	76	24	.	.	PUNCT
cana-5210	77	1	here	here	ADV
cana-5210	77	2	,	,	PUNCT
cana-5210	77	3	the	the	DET
cana-5210	77	4	mean	mean	ADJ
cana-5210	77	5	and	and	CCONJ
cana-5210	77	6	scale	scale	NOUN
cana-5210	77	7	features	feature	NOUN
cana-5210	77	8	to	to	ADP
cana-5210	77	9	unit	unit	NOUN
cana-5210	77	10	variance	variance	NOUN
cana-5210	77	11	are	be	AUX
cana-5210	77	12	eliminated	eliminate	VERB
cana-5210	77	13	using	use	VERB
cana-5210	77	14	standard	standard	ADJ
cana-5210	77	15	scaler	scaler	NOUN
cana-5210	77	16	.	.	PUNCT
cana-5210	78	1	the	the	DET
cana-5210	78	2	formula	formula	NOUN
cana-5210	78	3	for	for	ADP
cana-5210	78	4	scaling	scaling	NOUN
cana-5210	78	5	is	be	AUX
cana-5210	78	6	:	:	PUNCT
cana-5210	78	7	z=(x−μ)/σ	z=(x−μ)/σ	X
cana-5210	78	8	(	(	PUNCT
cana-5210	78	9	2	2	X
cana-5210	78	10	)	)	PUNCT
cana-5210	78	11	communications	communication	NOUN
cana-5210	78	12	on	on	ADP
cana-5210	78	13	applied	apply	VERB
cana-5210	78	14	nonlinear	nonlinear	ADJ
cana-5210	78	15	analysis	analysis	NOUN
cana-5210	78	16	issn	issn	NOUN
cana-5210	78	17	:	:	PUNCT
cana-5210	78	18	1074	1074	NUM
cana-5210	78	19	-	-	PUNCT
cana-5210	78	20	133x	133x	NUM
cana-5210	78	21	vol	vol	VERB
cana-5210	78	22	32	32	NUM
cana-5210	78	23	no	no	NOUN
cana-5210	78	24	.	.	PUNCT
cana-5210	79	1	10s	10	NOUN
cana-5210	79	2	(	(	PUNCT
cana-5210	79	3	2025	2025	NUM
cana-5210	79	4	)	)	PUNCT
cana-5210	79	5	1156	1156	NUM
cana-5210	79	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	80	1	where	where	SCONJ
cana-5210	80	2	:	:	PUNCT
cana-5210	80	3	z	z	X
cana-5210	80	4	:	:	PUNCT
cana-5210	80	5	standardized	standardized	ADJ
cana-5210	80	6	feature	feature	NOUN
cana-5210	80	7	value	value	NOUN
cana-5210	80	8	.	.	PUNCT
cana-5210	81	1	x	x	X
cana-5210	81	2	:	:	PUNCT
cana-5210	81	3	actual	actual	ADJ
cana-5210	81	4	value	value	NOUN
cana-5210	81	5	of	of	ADP
cana-5210	81	6	feature	feature	NOUN
cana-5210	81	7	.	.	PUNCT
cana-5210	82	1	μ	μ	NOUN
cana-5210	82	2	:	:	PUNCT
cana-5210	82	3	mean	mean	NOUN
cana-5210	82	4	of	of	ADP
cana-5210	82	5	the	the	DET
cana-5210	82	6	feature	feature	NOUN
cana-5210	82	7	.	.	PUNCT
cana-5210	83	1	σ	σ	NOUN
cana-5210	83	2	:	:	PUNCT
cana-5210	83	3	standard	standard	ADJ
cana-5210	83	4	deviation	deviation	NOUN
cana-5210	83	5	v.	v.	ADP
cana-5210	83	6	data	datum	NOUN
cana-5210	83	7	reshaping	reshape	VERB
cana-5210	83	8	the	the	DET
cana-5210	83	9	lstm	lstm	NOUN
cana-5210	83	10	model	model	NOUN
cana-5210	83	11	expects	expect	VERB
cana-5210	83	12	input	input	NOUN
cana-5210	83	13	in	in	ADP
cana-5210	83	14	a	a	DET
cana-5210	83	15	specific	specific	ADJ
cana-5210	83	16	format	format	NOUN
cana-5210	83	17	:	:	PUNCT
cana-5210	83	18	(	(	PUNCT
cana-5210	83	19	samples	sample	NOUN
cana-5210	83	20	,	,	PUNCT
cana-5210	83	21	time_steps	time_step	NOUN
cana-5210	83	22	,	,	PUNCT
cana-5210	83	23	features	feature	NOUN
cana-5210	83	24	.	.	PUNCT
cana-5210	84	1	the	the	DET
cana-5210	84	2	data	data	NOUN
cana-5210	84	3	is	be	AUX
cana-5210	84	4	reshaped	reshape	VERB
cana-5210	84	5	to	to	PART
cana-5210	84	6	fit	fit	VERB
cana-5210	84	7	this	this	DET
cana-5210	84	8	format	format	NOUN
cana-5210	84	9	,	,	PUNCT
cana-5210	84	10	where	where	SCONJ
cana-5210	84	11	:	:	PUNCT
cana-5210	84	12	samples	sample	NOUN
cana-5210	84	13	:	:	PUNCT
cana-5210	84	14	number	number	NOUN
cana-5210	84	15	of	of	ADP
cana-5210	84	16	training	training	NOUN
cana-5210	84	17	examples	example	NOUN
cana-5210	84	18	.	.	PUNCT
cana-5210	85	1	time_steps	time_step	NOUN
cana-5210	85	2	:	:	SYM
cana-5210	85	3	1	1	NUM
cana-5210	85	4	(	(	PUNCT
cana-5210	85	5	since	since	SCONJ
cana-5210	85	6	this	this	DET
cana-5210	85	7	model	model	NOUN
cana-5210	85	8	uses	use	VERB
cana-5210	85	9	single	single	ADJ
cana-5210	85	10	observations	observation	NOUN
cana-5210	85	11	)	)	PUNCT
cana-5210	85	12	.	.	PUNCT
cana-5210	86	1	features	feature	NOUN
cana-5210	86	2	:	:	PUNCT
cana-5210	86	3	number	number	NOUN
cana-5210	86	4	of	of	ADP
cana-5210	86	5	selected	select	VERB
cana-5210	86	6	features	feature	NOUN
cana-5210	86	7	.	.	PUNCT
cana-5210	87	1	3.2	3.2	NUM
cana-5210	87	2	model	model	NOUN
cana-5210	87	3	architecture	architecture	NOUN
cana-5210	87	4	the	the	DET
cana-5210	87	5	core	core	NOUN
cana-5210	87	6	of	of	ADP
cana-5210	87	7	this	this	DET
cana-5210	87	8	system	system	NOUN
cana-5210	87	9	is	be	AUX
cana-5210	87	10	an	an	DET
cana-5210	87	11	lstm	lstm	NOUN
cana-5210	87	12	(	(	PUNCT
cana-5210	87	13	long	long	ADJ
cana-5210	87	14	short	short	ADJ
cana-5210	87	15	-	-	PUNCT
cana-5210	87	16	term	term	NOUN
cana-5210	87	17	memory	memory	NOUN
cana-5210	87	18	)	)	PUNCT
cana-5210	87	19	network	network	NOUN
cana-5210	87	20	,	,	PUNCT
cana-5210	87	21	which	which	PRON
cana-5210	87	22	is	be	AUX
cana-5210	87	23	a	a	DET
cana-5210	87	24	type	type	NOUN
cana-5210	87	25	of	of	ADP
cana-5210	87	26	recurrent	recurrent	ADJ
cana-5210	87	27	neural	neural	ADJ
cana-5210	87	28	network	network	NOUN
cana-5210	87	29	(	(	PUNCT
cana-5210	87	30	rnn	rnn	PROPN
cana-5210	87	31	)	)	PUNCT
cana-5210	87	32	designed	design	VERB
cana-5210	87	33	to	to	PART
cana-5210	87	34	work	work	VERB
cana-5210	87	35	with	with	ADP
cana-5210	87	36	sequential	sequential	ADJ
cana-5210	87	37	data	datum	NOUN
cana-5210	87	38	.	.	PUNCT
cana-5210	88	1	in	in	ADP
cana-5210	88	2	this	this	DET
cana-5210	88	3	case	case	NOUN
cana-5210	88	4	,	,	PUNCT
cana-5210	88	5	the	the	DET
cana-5210	88	6	network	network	NOUN
cana-5210	88	7	traffic	traffic	NOUN
cana-5210	88	8	data	datum	NOUN
cana-5210	88	9	is	be	AUX
cana-5210	88	10	structured	structure	VERB
cana-5210	88	11	to	to	PART
cana-5210	88	12	work	work	VERB
cana-5210	88	13	with	with	ADP
cana-5210	88	14	the	the	DET
cana-5210	88	15	lstm	lstm	PROPN
cana-5210	88	16	model	model	NOUN
cana-5210	88	17	by	by	ADP
cana-5210	88	18	reshaping	reshape	VERB
cana-5210	88	19	the	the	DET
cana-5210	88	20	data	datum	NOUN
cana-5210	88	21	into	into	ADP
cana-5210	88	22	a	a	DET
cana-5210	88	23	format	format	NOUN
cana-5210	88	24	suitable	suitable	ADJ
cana-5210	88	25	for	for	ADP
cana-5210	88	26	time	time	NOUN
cana-5210	88	27	-	-	PUNCT
cana-5210	88	28	series	series	NOUN
cana-5210	88	29	analysis	analysis	NOUN
cana-5210	88	30	.	.	PUNCT
cana-5210	89	1	in	in	ADP
cana-5210	89	2	core	core	ADJ
cana-5210	89	3	components	component	NOUN
cana-5210	89	4	gates	gate	NOUN
cana-5210	89	5	are	be	AUX
cana-5210	89	6	very	very	ADV
cana-5210	89	7	important	important	ADJ
cana-5210	89	8	in	in	ADP
cana-5210	89	9	lstm	lstm	NOUN
cana-5210	89	10	they	they	PRON
cana-5210	89	11	defined	define	VERB
cana-5210	89	12	as	as	ADP
cana-5210	89	13	i.	i.	PROPN
cana-5210	89	14	lstms	lstms	PROPN
cana-5210	89	15	use	use	NOUN
cana-5210	89	16	gates	gate	NOUN
cana-5210	89	17	to	to	PART
cana-5210	89	18	control	control	VERB
cana-5210	89	19	the	the	DET
cana-5210	89	20	flow	flow	NOUN
cana-5210	89	21	of	of	ADP
cana-5210	89	22	information	information	NOUN
cana-5210	89	23	into	into	ADP
cana-5210	89	24	and	and	CCONJ
cana-5210	89	25	out	out	ADP
cana-5210	89	26	of	of	ADP
cana-5210	89	27	the	the	DET
cana-5210	89	28	memory	memory	NOUN
cana-5210	89	29	cell	cell	NOUN
cana-5210	89	30	:	:	PUNCT
cana-5210	89	31	forget	forget	VERB
cana-5210	89	32	gate	gate	NOUN
cana-5210	89	33	(	(	PUNCT
cana-5210	89	34	ft	ft	NOUN
cana-5210	89	35	):	):	PUNCT
cana-5210	89	36	chooses	choose	NOUN
cana-5210	89	37	which	which	PRON
cana-5210	89	38	facts	fact	VERB
cana-5210	89	39	to	to	PART
cana-5210	89	40	ignore	ignore	VERB
cana-5210	89	41	.	.	PUNCT
cana-5210	90	1	(	(	PUNCT
cana-5210	90	2	3	3	X
cana-5210	90	3	)	)	PUNCT
cana-5210	90	4	input	input	NOUN
cana-5210	90	5	gate	gate	NOUN
cana-5210	90	6	(	(	PUNCT
cana-5210	90	7	it	it	PRON
cana-5210	90	8	):	):	PUNCT
cana-5210	90	9	decides	decide	VERB
cana-5210	90	10	what	what	DET
cana-5210	90	11	fresh	fresh	ADJ
cana-5210	90	12	data	datum	NOUN
cana-5210	90	13	should	should	AUX
cana-5210	90	14	be	be	AUX
cana-5210	90	15	kept	keep	VERB
cana-5210	90	16	in	in	ADP
cana-5210	90	17	the	the	DET
cana-5210	90	18	cell	cell	NOUN
cana-5210	90	19	.	.	PUNCT
cana-5210	91	1	(	(	PUNCT
cana-5210	91	2	4	4	X
cana-5210	91	3	)	)	PUNCT
cana-5210	91	4	output	output	NOUN
cana-5210	91	5	gate	gate	NOUN
cana-5210	91	6	(	(	PUNCT
cana-5210	91	7	ot	ot	INTJ
cana-5210	91	8	):	):	PUNCT
cana-5210	91	9	regulates	regulate	VERB
cana-5210	91	10	the	the	DET
cana-5210	91	11	cell	cell	NOUN
cana-5210	91	12	's	's	PART
cana-5210	91	13	production	production	NOUN
cana-5210	91	14	.	.	PUNCT
cana-5210	92	1	(	(	PUNCT
cana-5210	92	2	5	5	NUM
cana-5210	92	3	)	)	PUNCT
cana-5210	92	4	ii	ii	PROPN
cana-5210	92	5	.	.	PUNCT
cana-5210	93	1	candidate	candidate	NOUN
cana-5210	93	2	values	value	NOUN
cana-5210	93	3	(	(	PUNCT
cana-5210	93	4	c	c	X
cana-5210	93	5	~	~	SYM
cana-5210	93	6	t	t	PROPN
cana-5210	93	7	):	):	PUNCT
cana-5210	93	8	the	the	DET
cana-5210	93	9	new	new	ADJ
cana-5210	93	10	data	datum	NOUN
cana-5210	93	11	that	that	PRON
cana-5210	93	12	might	might	AUX
cana-5210	93	13	be	be	AUX
cana-5210	93	14	added	add	VERB
cana-5210	93	15	to	to	ADP
cana-5210	93	16	the	the	DET
cana-5210	93	17	cell	cell	NOUN
cana-5210	93	18	state	state	NOUN
cana-5210	93	19	is	be	AUX
cana-5210	93	20	as	as	SCONJ
cana-5210	93	21	follows	follow	VERB
cana-5210	93	22	:	:	PUNCT
cana-5210	93	23	(	(	PUNCT
cana-5210	93	24	6	6	NUM
cana-5210	93	25	)	)	PUNCT
cana-5210	93	26	iii	iii	PROPN
cana-5210	93	27	.	.	PUNCT
cana-5210	93	28	cell	cell	NOUN
cana-5210	93	29	state	state	NOUN
cana-5210	93	30	update	update	NOUN
cana-5210	93	31	:	:	PUNCT
cana-5210	93	32	updates	update	VERB
cana-5210	93	33	the	the	DET
cana-5210	93	34	memory	memory	NOUN
cana-5210	93	35	cell	cell	NOUN
cana-5210	93	36	by	by	ADP
cana-5210	93	37	combining	combine	VERB
cana-5210	93	38	the	the	DET
cana-5210	93	39	input	input	NOUN
cana-5210	93	40	and	and	CCONJ
cana-5210	93	41	forget	forget	VERB
cana-5210	93	42	gates	gate	NOUN
cana-5210	93	43	:	:	PUNCT
cana-5210	93	44	(	(	PUNCT
cana-5210	93	45	7	7	X
cana-5210	93	46	)	)	PUNCT
cana-5210	93	47	iv	iv	NUM
cana-5210	93	48	.	.	PUNCT
cana-5210	94	1	hidden	hide	VERB
cana-5210	94	2	state	state	NOUN
cana-5210	94	3	(	(	PUNCT
cana-5210	94	4	ht	ht	INTJ
cana-5210	94	5	):	):	PUNCT
cana-5210	94	6	outputs	output	NOUN
cana-5210	94	7	the	the	DET
cana-5210	94	8	pertinent	pertinent	ADJ
cana-5210	94	9	data	datum	NOUN
cana-5210	94	10	according	accord	VERB
cana-5210	94	11	to	to	ADP
cana-5210	94	12	the	the	DET
cana-5210	94	13	output	output	NOUN
cana-5210	94	14	gate	gate	NOUN
cana-5210	94	15	and	and	CCONJ
cana-5210	94	16	the	the	DET
cana-5210	94	17	cell	cell	NOUN
cana-5210	94	18	state	state	NOUN
cana-5210	94	19	:	:	PUNCT
cana-5210	94	20	(	(	PUNCT
cana-5210	94	21	8)	8)	NUM
cana-5210	94	22	communications	communication	NOUN
cana-5210	94	23	on	on	ADP
cana-5210	94	24	applied	apply	VERB
cana-5210	94	25	nonlinear	nonlinear	ADJ
cana-5210	94	26	analysis	analysis	NOUN
cana-5210	94	27	issn	issn	NOUN
cana-5210	94	28	:	:	PUNCT
cana-5210	94	29	1074	1074	NUM
cana-5210	94	30	-	-	PUNCT
cana-5210	94	31	133x	133x	NUM
cana-5210	94	32	vol	vol	VERB
cana-5210	94	33	32	32	NUM
cana-5210	94	34	no	no	NOUN
cana-5210	94	35	.	.	PUNCT
cana-5210	95	1	10s	10	NOUN
cana-5210	95	2	(	(	PUNCT
cana-5210	95	3	2025	2025	NUM
cana-5210	95	4	)	)	PUNCT
cana-5210	95	5	1157	1157	NUM
cana-5210	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	96	1	the	the	DET
cana-5210	96	2	architecture	architecture	NOUN
cana-5210	96	3	of	of	ADP
cana-5210	96	4	the	the	DET
cana-5210	96	5	model	model	NOUN
cana-5210	96	6	includes	include	VERB
cana-5210	96	7	:	:	PUNCT
cana-5210	96	8	•	•	ADJ
cana-5210	96	9	input	input	NOUN
cana-5210	96	10	layer	layer	NOUN
cana-5210	96	11	:	:	PUNCT
cana-5210	96	12	the	the	DET
cana-5210	96	13	quantity	quantity	NOUN
cana-5210	96	14	of	of	ADP
cana-5210	96	15	chosen	choose	VERB
cana-5210	96	16	characteristics	characteristic	NOUN
cana-5210	96	17	determines	determine	VERB
cana-5210	96	18	the	the	DET
cana-5210	96	19	input	input	NOUN
cana-5210	96	20	shape	shape	NOUN
cana-5210	96	21	.	.	PUNCT
cana-5210	97	1	the	the	DET
cana-5210	97	2	input	input	NOUN
cana-5210	97	3	structure	structure	NOUN
cana-5210	97	4	is	be	AUX
cana-5210	97	5	changed	change	VERB
cana-5210	97	6	to	to	ADP
cana-5210	97	7	(	(	PUNCT
cana-5210	97	8	samples	sample	NOUN
cana-5210	97	9	,	,	PUNCT
cana-5210	97	10	1	1	NUM
cana-5210	97	11	,	,	PUNCT
cana-5210	97	12	features	feature	NOUN
cana-5210	97	13	)	)	PUNCT
cana-5210	97	14	since	since	SCONJ
cana-5210	97	15	the	the	DET
cana-5210	97	16	data	data	NOUN
cana-5210	97	17	is	be	AUX
cana-5210	97	18	processed	process	VERB
cana-5210	97	19	as	as	ADP
cana-5210	97	20	a	a	DET
cana-5210	97	21	sequence	sequence	NOUN
cana-5210	97	22	,	,	PUNCT
cana-5210	97	23	where	where	SCONJ
cana-5210	97	24	samples	sample	NOUN
cana-5210	97	25	stand	stand	VERB
cana-5210	97	26	for	for	ADP
cana-5210	97	27	the	the	DET
cana-5210	97	28	number	number	NOUN
cana-5210	97	29	of	of	ADP
cana-5210	97	30	training	training	NOUN
cana-5210	97	31	instances	instance	NOUN
cana-5210	97	32	and	and	CCONJ
cana-5210	97	33	features	feature	NOUN
cana-5210	97	34	for	for	ADP
cana-5210	97	35	the	the	DET
cana-5210	97	36	number	number	NOUN
cana-5210	97	37	of	of	ADP
cana-5210	97	38	features	feature	NOUN
cana-5210	97	39	chosen	choose	VERB
cana-5210	97	40	from	from	ADP
cana-5210	97	41	the	the	DET
cana-5210	97	42	dataset	dataset	NOUN
cana-5210	97	43	.	.	PUNCT
cana-5210	98	1	•	•	NUM
cana-5210	98	2	lstm	lstm	ADJ
cana-5210	98	3	layer	layer	NOUN
cana-5210	98	4	:	:	PUNCT
cana-5210	98	5	this	this	DET
cana-5210	98	6	layer	layer	NOUN
cana-5210	98	7	,	,	PUNCT
cana-5210	98	8	which	which	PRON
cana-5210	98	9	has	have	VERB
cana-5210	98	10	128	128	NUM
cana-5210	98	11	units	unit	NOUN
cana-5210	98	12	and	and	CCONJ
cana-5210	98	13	relu	relu	NOUN
cana-5210	98	14	activation	activation	NOUN
cana-5210	98	15	,	,	PUNCT
cana-5210	98	16	aids	aid	NOUN
cana-5210	98	17	in	in	ADP
cana-5210	98	18	identifying	identify	VERB
cana-5210	98	19	the	the	DET
cana-5210	98	20	data	datum	NOUN
cana-5210	98	21	's	's	PART
cana-5210	98	22	sequential	sequential	ADJ
cana-5210	98	23	dependencies	dependency	NOUN
cana-5210	98	24	.	.	PUNCT
cana-5210	99	1	•	•	NOUN
cana-5210	99	2	dropout	dropout	NOUN
cana-5210	99	3	layer	layer	NOUN
cana-5210	99	4	:	:	PUNCT
cana-5210	99	5	to	to	PART
cana-5210	99	6	avoid	avoid	VERB
cana-5210	99	7	overfitting	overfitte	VERB
cana-5210	99	8	,	,	PUNCT
cana-5210	99	9	a	a	DET
cana-5210	99	10	dropout	dropout	NOUN
cana-5210	99	11	layer	layer	NOUN
cana-5210	99	12	with	with	ADP
cana-5210	99	13	a	a	DET
cana-5210	99	14	rate	rate	NOUN
cana-5210	99	15	of	of	ADP
cana-5210	99	16	0.2	0.2	NUM
cana-5210	99	17	is	be	AUX
cana-5210	99	18	introduced	introduce	VERB
cana-5210	99	19	,	,	PUNCT
cana-5210	99	20	randomly	randomly	ADV
cana-5210	99	21	setting	set	VERB
cana-5210	99	22	a	a	DET
cana-5210	99	23	portion	portion	NOUN
cana-5210	99	24	of	of	ADP
cana-5210	99	25	the	the	DET
cana-5210	99	26	lstm	lstm	ADJ
cana-5210	99	27	layer	layer	NOUN
cana-5210	99	28	's	's	PART
cana-5210	99	29	output	output	NOUN
cana-5210	99	30	to	to	ADP
cana-5210	99	31	zero	zero	NUM
cana-5210	99	32	during	during	ADP
cana-5210	99	33	training	training	NOUN
cana-5210	99	34	.	.	PUNCT
cana-5210	100	1	figure	figure	NOUN
cana-5210	100	2	2	2	NUM
cana-5210	100	3	:	:	PUNCT
cana-5210	100	4	architecture	architecture	NOUN
cana-5210	100	5	model	model	NOUN
cana-5210	100	6	•	•	ADP
cana-5210	100	7	dense	dense	ADJ
cana-5210	100	8	layers	layer	NOUN
cana-5210	100	9	:	:	PUNCT
cana-5210	100	10	to	to	PART
cana-5210	100	11	further	far	ADV
cana-5210	100	12	process	process	VERB
cana-5210	100	13	the	the	DET
cana-5210	100	14	characteristics	characteristic	NOUN
cana-5210	100	15	and	and	CCONJ
cana-5210	100	16	uncover	uncover	VERB
cana-5210	100	17	non	non	ADJ
cana-5210	100	18	-	-	ADJ
cana-5210	100	19	linear	linear	ADJ
cana-5210	100	20	correlations	correlation	NOUN
cana-5210	100	21	between	between	ADP
cana-5210	100	22	them	they	PRON
cana-5210	100	23	,	,	PUNCT
cana-5210	100	24	the	the	DET
cana-5210	100	25	model	model	NOUN
cana-5210	100	26	has	have	VERB
cana-5210	100	27	two	two	NUM
cana-5210	100	28	fully	fully	ADV
cana-5210	100	29	linked	link	VERB
cana-5210	100	30	dense	dense	ADJ
cana-5210	100	31	layers	layer	NOUN
cana-5210	100	32	,	,	PUNCT
cana-5210	100	33	each	each	PRON
cana-5210	100	34	with	with	ADP
cana-5210	100	35	64	64	NUM
cana-5210	100	36	and	and	CCONJ
cana-5210	100	37	32	32	NUM
cana-5210	100	38	neurones	neurone	NOUN
cana-5210	100	39	.	.	PUNCT
cana-5210	101	1	•	•	NUM
cana-5210	101	2	output	output	NOUN
cana-5210	101	3	layer	layer	NOUN
cana-5210	101	4	:	:	PUNCT
cana-5210	101	5	the	the	DET
cana-5210	101	6	last	last	ADJ
cana-5210	101	7	output	output	NOUN
cana-5210	101	8	layer	layer	NOUN
cana-5210	101	9	classifies	classify	VERB
cana-5210	101	10	the	the	DET
cana-5210	101	11	input	input	NOUN
cana-5210	101	12	into	into	ADP
cana-5210	101	13	one	one	NUM
cana-5210	101	14	of	of	ADP
cana-5210	101	15	four	four	NUM
cana-5210	101	16	possible	possible	ADJ
cana-5210	101	17	classes	class	NOUN
cana-5210	101	18	:	:	PUNCT
cana-5210	101	19	"	"	PUNCT
cana-5210	101	20	benign	benign	ADJ
cana-5210	101	21	,	,	PUNCT
cana-5210	101	22	"	"	PUNCT
cana-5210	101	23	"	"	PUNCT
cana-5210	101	24	ddos	ddo	NOUN
cana-5210	101	25	,	,	PUNCT
cana-5210	101	26	"	"	PUNCT
cana-5210	101	27	"	"	PUNCT
cana-5210	101	28	portscan	portscan	ADJ
cana-5210	101	29	,	,	PUNCT
cana-5210	101	30	"	"	PUNCT
cana-5210	101	31	or	or	CCONJ
cana-5210	101	32	"	"	PUNCT
cana-5210	101	33	dos	do	NOUN
cana-5210	101	34	"	"	PUNCT
cana-5210	101	35	using	use	VERB
cana-5210	101	36	a	a	DET
cana-5210	101	37	softmax	softmax	ADJ
cana-5210	101	38	activation	activation	NOUN
cana-5210	101	39	function	function	NOUN
cana-5210	101	40	.	.	PUNCT
cana-5210	102	1	the	the	DET
cana-5210	102	2	model	model	NOUN
cana-5210	102	3	is	be	AUX
cana-5210	102	4	compiled	compile	VERB
cana-5210	102	5	using	use	VERB
cana-5210	102	6	the	the	DET
cana-5210	102	7	adam	adam	PROPN
cana-5210	102	8	optimizer	optimizer	NOUN
cana-5210	102	9	and	and	CCONJ
cana-5210	102	10	sparse	sparse	VERB
cana-5210	102	11	categorical	categorical	ADJ
cana-5210	102	12	crossentropy	crossentropy	NOUN
cana-5210	102	13	loss	loss	NOUN
cana-5210	102	14	,	,	PUNCT
cana-5210	102	15	as	as	SCONJ
cana-5210	102	16	this	this	PRON
cana-5210	102	17	is	be	AUX
cana-5210	102	18	a	a	DET
cana-5210	102	19	multi	multi	ADJ
cana-5210	102	20	-	-	ADJ
cana-5210	102	21	class	class	ADJ
cana-5210	102	22	classification	classification	NOUN
cana-5210	102	23	problem	problem	NOUN
cana-5210	102	24	.	.	PUNCT
cana-5210	103	1	softmax	softmax	ADJ
cana-5210	103	2	activation	activation	NOUN
cana-5210	103	3	for	for	ADP
cana-5210	103	4	output	output	NOUN
cana-5210	103	5	layer	layer	NOUN
cana-5210	103	6	used	use	VERB
cana-5210	103	7	to	to	PART
cana-5210	103	8	classify	classify	VERB
cana-5210	103	9	inputs	input	NOUN
cana-5210	103	10	into	into	ADP
cana-5210	103	11	one	one	NUM
cana-5210	103	12	of	of	ADP
cana-5210	103	13	four	four	NUM
cana-5210	103	14	classes	class	NOUN
cana-5210	103	15	(	(	PUNCT
cana-5210	103	16	benign	benign	ADJ
cana-5210	103	17	,	,	PUNCT
cana-5210	103	18	ddos	ddo	NOUN
cana-5210	103	19	,	,	PUNCT
cana-5210	103	20	portscan	portscan	NOUN
cana-5210	103	21	,	,	PUNCT
cana-5210	103	22	dos	do	NOUN
cana-5210	103	23	):	):	PUNCT
cana-5210	103	24	p(y	p(y	PROPN
cana-5210	103	25	=	=	NOUN
cana-5210	103	26	c∣x	c∣x	VERB
cana-5210	103	27	)	)	PUNCT
cana-5210	104	1	=	=	PUNCT
cana-5210	104	2	(	(	PUNCT
cana-5210	104	3	9	9	NUM
cana-5210	104	4	)	)	PUNCT
cana-5210	104	5	where	where	SCONJ
cana-5210	104	6	zc	zc	NOUN
cana-5210	104	7	is	be	AUX
cana-5210	104	8	the	the	DET
cana-5210	104	9	logit	logit	NOUN
cana-5210	104	10	of	of	ADP
cana-5210	104	11	class	class	NOUN
cana-5210	104	12	c	c	NOUN
cana-5210	104	13	,	,	PUNCT
cana-5210	104	14	and	and	CCONJ
cana-5210	104	15	k	k	PROPN
cana-5210	104	16	is	be	AUX
cana-5210	104	17	the	the	DET
cana-5210	104	18	total	total	ADJ
cana-5210	104	19	number	number	NOUN
cana-5210	104	20	of	of	ADP
cana-5210	104	21	classes	class	NOUN
cana-5210	104	22	and	and	CCONJ
cana-5210	104	23	the	the	DET
cana-5210	104	24	loss	loss	NOUN
cana-5210	104	25	function	function	NOUN
cana-5210	104	26	of	of	ADP
cana-5210	104	27	multiclass	multiclass	ADJ
cana-5210	104	28	classification	classification	NOUN
cana-5210	104	29	uses	use	VERB
cana-5210	104	30	sparse	sparse	ADJ
cana-5210	104	31	categorical	categorical	ADJ
cana-5210	104	32	cross	cross	ADJ
cana-5210	104	33	-	-	ADJ
cana-5210	104	34	entropy	entropy	ADJ
cana-5210	104	35	loss	loss	NOUN
cana-5210	104	36	defined	define	VERB
cana-5210	104	37	as	as	ADP
cana-5210	104	38	loss=	loss=	NUM
cana-5210	104	39	(	(	PUNCT
cana-5210	104	40	10	10	NUM
cana-5210	104	41	)	)	PUNCT
cana-5210	104	42	where	where	SCONJ
cana-5210	104	43	:	:	PUNCT
cana-5210	104	44	n	n	CCONJ
cana-5210	104	45	:	:	PUNCT
cana-5210	104	46	number	number	NOUN
cana-5210	104	47	of	of	ADP
cana-5210	104	48	samples	sample	NOUN
cana-5210	104	49	.	.	PUNCT
cana-5210	105	1	communications	communication	NOUN
cana-5210	105	2	on	on	ADP
cana-5210	105	3	applied	apply	VERB
cana-5210	105	4	nonlinear	nonlinear	ADJ
cana-5210	105	5	analysis	analysis	NOUN
cana-5210	105	6	issn	issn	NOUN
cana-5210	105	7	:	:	PUNCT
cana-5210	105	8	1074	1074	NUM
cana-5210	105	9	-	-	PUNCT
cana-5210	105	10	133x	133x	NUM
cana-5210	105	11	vol	vol	VERB
cana-5210	105	12	32	32	NUM
cana-5210	105	13	no	no	NOUN
cana-5210	105	14	.	.	PUNCT
cana-5210	106	1	10s	10	NOUN
cana-5210	106	2	(	(	PUNCT
cana-5210	106	3	2025	2025	NUM
cana-5210	106	4	)	)	PUNCT
cana-5210	106	5	1158	1158	NUM
cana-5210	106	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	107	1	c	c	X
cana-5210	107	2	:	:	PUNCT
cana-5210	107	3	number	number	NOUN
cana-5210	107	4	of	of	ADP
cana-5210	107	5	classes	class	NOUN
cana-5210	107	6	.	.	PUNCT
cana-5210	108	1	yi	yi	PROPN
cana-5210	108	2	,	,	PUNCT
cana-5210	108	3	c	c	NOUN
cana-5210	108	4	:	:	PUNCT
cana-5210	108	5	actual	actual	ADJ
cana-5210	108	6	label	label	NOUN
cana-5210	108	7	.	.	PUNCT
cana-5210	109	1	y^i	y^i	NOUN
cana-5210	109	2	,	,	PUNCT
cana-5210	109	3	c	c	NOUN
cana-5210	109	4	:	:	PUNCT
cana-5210	109	5	predicted	predict	VERB
cana-5210	109	6	probability	probability	NOUN
cana-5210	109	7	for	for	ADP
cana-5210	109	8	class	class	NOUN
cana-5210	109	9	c.	c.	NOUN
cana-5210	109	10	optimizer	optimizer	NOUN
cana-5210	109	11	(	(	PUNCT
cana-5210	109	12	adam	adam	PROPN
cana-5210	109	13	):	):	PUNCT
cana-5210	109	14	adam	adam	PROPN
cana-5210	109	15	combines	combine	VERB
cana-5210	109	16	momentum	momentum	NOUN
cana-5210	109	17	and	and	CCONJ
cana-5210	109	18	adaptive	adaptive	ADJ
cana-5210	109	19	learning	learning	NOUN
cana-5210	109	20	rates	rate	NOUN
cana-5210	109	21	:	:	PUNCT
cana-5210	109	22	(	(	PUNCT
cana-5210	109	23	11	11	NUM
cana-5210	109	24	)	)	PUNCT
cana-5210	109	25	(	(	PUNCT
cana-5210	109	26	12	12	NUM
cana-5210	109	27	)	)	PUNCT
cana-5210	109	28	(	(	PUNCT
cana-5210	109	29	13	13	NUM
cana-5210	109	30	)	)	PUNCT
cana-5210	109	31	where	where	SCONJ
cana-5210	109	32	:	:	PUNCT
cana-5210	109	33	gt	gt	PROPN
cana-5210	109	34	:	:	PUNCT
cana-5210	109	35	the	the	DET
cana-5210	109	36	loss	loss	NOUN
cana-5210	109	37	function	function	NOUN
cana-5210	109	38	's	's	PART
cana-5210	109	39	gradient	gradient	NOUN
cana-5210	109	40	at	at	ADP
cana-5210	109	41	time	time	NOUN
cana-5210	109	42	t	t	PROPN
cana-5210	109	43	mt	mt	PROPN
cana-5210	109	44	,	,	PUNCT
cana-5210	109	45	vt	vt	PROPN
cana-5210	109	46	:	:	PUNCT
cana-5210	109	47	exponential	exponential	ADJ
cana-5210	109	48	moving	moving	NOUN
cana-5210	109	49	averages	average	NOUN
cana-5210	109	50	of	of	ADP
cana-5210	109	51	the	the	DET
cana-5210	109	52	gradient	gradient	NOUN
cana-5210	109	53	and	and	CCONJ
cana-5210	109	54	its	its	PRON
cana-5210	109	55	square	square	NOUN
cana-5210	109	56	.	.	PUNCT
cana-5210	110	1	η	η	PROPN
cana-5210	110	2	:	:	PUNCT
cana-5210	110	3	learning	learn	VERB
cana-5210	110	4	rate	rate	NOUN
cana-5210	110	5	.	.	PUNCT
cana-5210	111	1	3.3.training	3.3.training	NUM
cana-5210	111	2	the	the	DET
cana-5210	111	3	model	model	NOUN
cana-5210	111	4	using	use	VERB
cana-5210	111	5	a	a	DET
cana-5210	111	6	batch	batch	NOUN
cana-5210	111	7	size	size	NOUN
cana-5210	111	8	of	of	ADP
cana-5210	111	9	32	32	NUM
cana-5210	111	10	,	,	PUNCT
cana-5210	111	11	the	the	DET
cana-5210	111	12	model	model	NOUN
cana-5210	111	13	is	be	AUX
cana-5210	111	14	trained	train	VERB
cana-5210	111	15	across	across	ADP
cana-5210	111	16	10	10	NUM
cana-5210	111	17	epochs	epoch	NOUN
cana-5210	111	18	on	on	ADP
cana-5210	111	19	the	the	DET
cana-5210	111	20	training	training	NOUN
cana-5210	111	21	dataset	dataset	NOUN
cana-5210	111	22	.	.	PUNCT
cana-5210	112	1	the	the	DET
cana-5210	112	2	validation	validation	NOUN
cana-5210	112	3	dataset	dataset	NOUN
cana-5210	112	4	(	(	PUNCT
cana-5210	112	5	x_val	x_val	PROPN
cana-5210	112	6	,	,	PUNCT
cana-5210	112	7	y_val	y_val	NOUN
cana-5210	112	8	)	)	PUNCT
cana-5210	112	9	is	be	AUX
cana-5210	112	10	used	use	VERB
cana-5210	112	11	to	to	PART
cana-5210	112	12	track	track	VERB
cana-5210	112	13	performance	performance	NOUN
cana-5210	112	14	and	and	CCONJ
cana-5210	112	15	avoid	avoid	VERB
cana-5210	112	16	overfitting	overfitte	VERB
cana-5210	112	17	during	during	ADP
cana-5210	112	18	training	training	NOUN
cana-5210	112	19	.	.	PUNCT
cana-5210	113	1	following	follow	VERB
cana-5210	113	2	training	training	NOUN
cana-5210	113	3	,	,	PUNCT
cana-5210	113	4	the	the	DET
cana-5210	113	5	test	test	NOUN
cana-5210	113	6	dataset	dataset	NOUN
cana-5210	113	7	(	(	PUNCT
cana-5210	113	8	x_test	x_test	NUM
cana-5210	113	9	,	,	PUNCT
cana-5210	113	10	y_test	y_test	X
cana-5210	113	11	)	)	PUNCT
cana-5210	113	12	is	be	AUX
cana-5210	113	13	used	use	VERB
cana-5210	113	14	to	to	PART
cana-5210	113	15	evaluate	evaluate	VERB
cana-5210	113	16	the	the	DET
cana-5210	113	17	model	model	NOUN
cana-5210	113	18	's	's	PART
cana-5210	113	19	performance	performance	NOUN
cana-5210	113	20	.	.	PUNCT
cana-5210	114	1	metrics	metric	NOUN
cana-5210	114	2	like	like	ADP
cana-5210	114	3	accuracy	accuracy	NOUN
cana-5210	114	4	,	,	PUNCT
cana-5210	114	5	loss	loss	NOUN
cana-5210	114	6	,	,	PUNCT
cana-5210	114	7	and	and	CCONJ
cana-5210	114	8	a	a	DET
cana-5210	114	9	classification	classification	NOUN
cana-5210	114	10	report	report	NOUN
cana-5210	114	11	that	that	PRON
cana-5210	114	12	provide	provide	VERB
cana-5210	114	13	comprehensive	comprehensive	ADJ
cana-5210	114	14	information	information	NOUN
cana-5210	114	15	on	on	ADP
cana-5210	114	16	precision	precision	NOUN
cana-5210	114	17	,	,	PUNCT
cana-5210	114	18	recall	recall	NOUN
cana-5210	114	19	,	,	PUNCT
cana-5210	114	20	f1	f1	NOUN
cana-5210	114	21	-	-	PUNCT
cana-5210	114	22	score	score	NOUN
cana-5210	114	23	,	,	PUNCT
cana-5210	114	24	and	and	CCONJ
cana-5210	114	25	support	support	NOUN
cana-5210	114	26	for	for	ADP
cana-5210	114	27	every	every	DET
cana-5210	114	28	class	class	NOUN
cana-5210	114	29	are	be	AUX
cana-5210	114	30	all	all	PRON
cana-5210	114	31	part	part	NOUN
cana-5210	114	32	of	of	ADP
cana-5210	114	33	the	the	DET
cana-5210	114	34	study	study	NOUN
cana-5210	114	35	.	.	PUNCT
cana-5210	115	1	4	4	X
cana-5210	115	2	.	.	X
cana-5210	115	3	results	result	NOUN
cana-5210	115	4	after	after	ADP
cana-5210	115	5	training	train	VERB
cana-5210	115	6	the	the	DET
cana-5210	115	7	model	model	NOUN
cana-5210	115	8	,	,	PUNCT
cana-5210	115	9	the	the	DET
cana-5210	115	10	following	follow	VERB
cana-5210	115	11	evaluation	evaluation	NOUN
cana-5210	115	12	techniques	technique	NOUN
cana-5210	115	13	are	be	AUX
cana-5210	115	14	applied	apply	VERB
cana-5210	115	15	:	:	PUNCT
cana-5210	115	16	•	•	NUM
cana-5210	115	17	accuracy	accuracy	NOUN
cana-5210	115	18	:	:	PUNCT
cana-5210	115	19	the	the	DET
cana-5210	115	20	test	test	NOUN
cana-5210	115	21	dataset	dataset	NOUN
cana-5210	115	22	is	be	AUX
cana-5210	115	23	used	use	VERB
cana-5210	115	24	to	to	PART
cana-5210	115	25	calculate	calculate	VERB
cana-5210	115	26	the	the	DET
cana-5210	115	27	model	model	NOUN
cana-5210	115	28	's	's	PART
cana-5210	115	29	overall	overall	ADJ
cana-5210	115	30	accuracy	accuracy	NOUN
cana-5210	115	31	.	.	PUNCT
cana-5210	116	1	the	the	DET
cana-5210	116	2	percentage	percentage	NOUN
cana-5210	116	3	of	of	ADP
cana-5210	116	4	accurately	accurately	ADV
cana-5210	116	5	anticipated	anticipate	VERB
cana-5210	116	6	cases	case	NOUN
cana-5210	116	7	is	be	AUX
cana-5210	116	8	shown	show	VERB
cana-5210	116	9	by	by	ADP
cana-5210	116	10	the	the	DET
cana-5210	116	11	accuracy	accuracy	NOUN
cana-5210	116	12	statistic	statistic	NOUN
cana-5210	116	13	.	.	PUNCT
cana-5210	117	1	•	•	NUM
cana-5210	117	2	confusion	confusion	NOUN
cana-5210	117	3	matrix	matrix	NOUN
cana-5210	117	4	:	:	PUNCT
cana-5210	117	5	the	the	DET
cana-5210	117	6	model	model	NOUN
cana-5210	117	7	's	's	PART
cana-5210	117	8	performance	performance	NOUN
cana-5210	117	9	across	across	ADP
cana-5210	117	10	various	various	ADJ
cana-5210	117	11	classes	class	NOUN
cana-5210	117	12	is	be	AUX
cana-5210	117	13	visualised	visualise	VERB
cana-5210	117	14	using	use	VERB
cana-5210	117	15	the	the	DET
cana-5210	117	16	confusion	confusion	NOUN
cana-5210	117	17	matrix	matrix	NOUN
cana-5210	117	18	.	.	PUNCT
cana-5210	118	1	it	it	PRON
cana-5210	118	2	provides	provide	VERB
cana-5210	118	3	information	information	NOUN
cana-5210	118	4	about	about	ADP
cana-5210	118	5	potential	potential	ADJ
cana-5210	118	6	error	error	NOUN
cana-5210	118	7	areas	area	NOUN
cana-5210	118	8	in	in	ADP
cana-5210	118	9	the	the	DET
cana-5210	118	10	model	model	NOUN
cana-5210	118	11	by	by	ADP
cana-5210	118	12	displaying	display	VERB
cana-5210	118	13	the	the	DET
cana-5210	118	14	true	true	ADJ
cana-5210	118	15	positive	positive	ADJ
cana-5210	118	16	,	,	PUNCT
cana-5210	118	17	true	true	ADJ
cana-5210	118	18	negative	negative	ADJ
cana-5210	118	19	,	,	PUNCT
cana-5210	118	20	false	false	ADJ
cana-5210	118	21	positive	positive	ADJ
cana-5210	118	22	,	,	PUNCT
cana-5210	118	23	and	and	CCONJ
cana-5210	118	24	false	false	ADJ
cana-5210	118	25	negative	negative	ADJ
cana-5210	118	26	values	value	NOUN
cana-5210	118	27	for	for	ADP
cana-5210	118	28	each	each	DET
cana-5210	118	29	class	class	NOUN
cana-5210	118	30	.	.	PUNCT
cana-5210	119	1	communications	communication	NOUN
cana-5210	119	2	on	on	ADP
cana-5210	119	3	applied	apply	VERB
cana-5210	119	4	nonlinear	nonlinear	ADJ
cana-5210	119	5	analysis	analysis	NOUN
cana-5210	119	6	issn	issn	NOUN
cana-5210	119	7	:	:	PUNCT
cana-5210	119	8	1074	1074	NUM
cana-5210	119	9	-	-	PUNCT
cana-5210	119	10	133x	133x	NUM
cana-5210	119	11	vol	vol	VERB
cana-5210	119	12	32	32	NUM
cana-5210	119	13	no	no	NOUN
cana-5210	119	14	.	.	PUNCT
cana-5210	120	1	10s	10	NOUN
cana-5210	120	2	(	(	PUNCT
cana-5210	120	3	2025	2025	NUM
cana-5210	120	4	)	)	PUNCT
cana-5210	120	5	1159	1159	NUM
cana-5210	121	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	121	2	figure	figure	NOUN
cana-5210	121	3	3	3	NUM
cana-5210	121	4	:	:	PUNCT
cana-5210	121	5	confusion	confusion	NOUN
cana-5210	121	6	matrix	matrix	NOUN
cana-5210	121	7	across	across	ADP
cana-5210	121	8	different	different	ADJ
cana-5210	121	9	classes	class	NOUN
cana-5210	121	10	classification	classification	NOUN
cana-5210	121	11	report	report	NOUN
cana-5210	121	12	:	:	PUNCT
cana-5210	121	13	for	for	ADP
cana-5210	121	14	every	every	DET
cana-5210	121	15	class	class	NOUN
cana-5210	121	16	,	,	PUNCT
cana-5210	121	17	this	this	DET
cana-5210	121	18	report	report	NOUN
cana-5210	121	19	offers	offer	VERB
cana-5210	121	20	comprehensive	comprehensive	ADJ
cana-5210	121	21	metrics	metric	NOUN
cana-5210	121	22	including	include	VERB
cana-5210	121	23	precision	precision	NOUN
cana-5210	121	24	,	,	PUNCT
cana-5210	121	25	recall	recall	NOUN
cana-5210	121	26	,	,	PUNCT
cana-5210	121	27	f1	f1	NOUN
cana-5210	121	28	-	-	PUNCT
cana-5210	121	29	score	score	NOUN
cana-5210	121	30	,	,	PUNCT
cana-5210	121	31	and	and	CCONJ
cana-5210	121	32	support	support	NOUN
cana-5210	121	33	.	.	PUNCT
cana-5210	122	1	it	it	PRON
cana-5210	122	2	aids	aid	VERB
cana-5210	122	3	in	in	ADP
cana-5210	122	4	evaluating	evaluate	VERB
cana-5210	122	5	the	the	DET
cana-5210	122	6	model	model	NOUN
cana-5210	122	7	's	's	PART
cana-5210	122	8	performance	performance	NOUN
cana-5210	122	9	for	for	ADP
cana-5210	122	10	every	every	DET
cana-5210	122	11	innocuous	innocuous	ADJ
cana-5210	122	12	class	class	NOUN
cana-5210	122	13	and	and	CCONJ
cana-5210	122	14	attack	attack	NOUN
cana-5210	122	15	type	type	NOUN
cana-5210	122	16	.	.	PUNCT
cana-5210	123	1	figure	figure	NOUN
cana-5210	123	2	4	4	NUM
cana-5210	123	3	:	:	PUNCT
cana-5210	123	4	classification	classification	NOUN
cana-5210	123	5	report	report	NOUN
cana-5210	123	6	metrics	metric	NOUN
cana-5210	123	7	3.4.real	3.4.real	NUM
cana-5210	123	8	-	-	PUNCT
cana-5210	123	9	time	time	NOUN
cana-5210	123	10	prediction	prediction	NOUN
cana-5210	123	11	once	once	SCONJ
cana-5210	123	12	the	the	DET
cana-5210	123	13	model	model	NOUN
cana-5210	123	14	is	be	AUX
cana-5210	123	15	trained	train	VERB
cana-5210	123	16	,	,	PUNCT
cana-5210	123	17	it	it	PRON
cana-5210	123	18	is	be	AUX
cana-5210	123	19	saved	save	VERB
cana-5210	123	20	to	to	ADP
cana-5210	123	21	a	a	DET
cana-5210	123	22	.h5	.h5	NOUN
cana-5210	123	23	file	file	NOUN
cana-5210	123	24	,	,	PUNCT
cana-5210	123	25	which	which	PRON
cana-5210	123	26	is	be	AUX
cana-5210	123	27	then	then	ADV
cana-5210	123	28	loaded	load	VERB
cana-5210	123	29	for	for	ADP
cana-5210	123	30	real	real	ADJ
cana-5210	123	31	-	-	PUNCT
cana-5210	123	32	time	time	NOUN
cana-5210	123	33	predictions	prediction	NOUN
cana-5210	123	34	.	.	PUNCT
cana-5210	124	1	the	the	DET
cana-5210	124	2	model	model	NOUN
cana-5210	124	3	is	be	AUX
cana-5210	124	4	used	use	VERB
cana-5210	124	5	to	to	PART
cana-5210	124	6	classify	classify	VERB
cana-5210	124	7	new	new	ADJ
cana-5210	124	8	network	network	NOUN
cana-5210	124	9	traffic	traffic	NOUN
cana-5210	124	10	data	datum	NOUN
cana-5210	124	11	in	in	ADP
cana-5210	124	12	real	real	ADJ
cana-5210	124	13	time	time	NOUN
cana-5210	124	14	.	.	PUNCT
cana-5210	125	1	the	the	DET
cana-5210	125	2	real	real	ADJ
cana-5210	125	3	-	-	PUNCT
cana-5210	125	4	time	time	NOUN
cana-5210	125	5	data	datum	NOUN
cana-5210	125	6	is	be	AUX
cana-5210	125	7	first	first	ADV
cana-5210	125	8	preprocessed	preprocesse	VERB
cana-5210	125	9	(	(	PUNCT
cana-5210	125	10	scaled	scale	VERB
cana-5210	125	11	and	and	CCONJ
cana-5210	125	12	reshaped	reshape	VERB
cana-5210	125	13	)	)	PUNCT
cana-5210	125	14	and	and	CCONJ
cana-5210	125	15	then	then	ADV
cana-5210	125	16	fed	feed	VERB
cana-5210	125	17	into	into	ADP
cana-5210	125	18	the	the	DET
cana-5210	125	19	model	model	NOUN
cana-5210	125	20	for	for	ADP
cana-5210	125	21	prediction	prediction	NOUN
cana-5210	125	22	.	.	PUNCT
cana-5210	126	1	communications	communication	NOUN
cana-5210	126	2	on	on	ADP
cana-5210	126	3	applied	apply	VERB
cana-5210	126	4	nonlinear	nonlinear	ADJ
cana-5210	126	5	analysis	analysis	NOUN
cana-5210	126	6	issn	issn	NOUN
cana-5210	126	7	:	:	PUNCT
cana-5210	126	8	1074	1074	NUM
cana-5210	126	9	-	-	PUNCT
cana-5210	126	10	133x	133x	NUM
cana-5210	126	11	vol	vol	VERB
cana-5210	126	12	32	32	NUM
cana-5210	126	13	no	no	NOUN
cana-5210	126	14	.	.	PUNCT
cana-5210	127	1	10s	10	NOUN
cana-5210	127	2	(	(	PUNCT
cana-5210	127	3	2025	2025	NUM
cana-5210	127	4	)	)	PUNCT
cana-5210	127	5	1160	1160	NUM
cana-5210	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	127	7	figure	figure	NOUN
cana-5210	127	8	5	5	NUM
cana-5210	127	9	:	:	PUNCT
cana-5210	127	10	different	different	ADJ
cana-5210	127	11	statistics	statistic	NOUN
cana-5210	127	12	and	and	CCONJ
cana-5210	127	13	correlation	correlation	NOUN
cana-5210	127	14	of	of	ADP
cana-5210	127	15	model	model	NOUN
cana-5210	127	16	real	real	ADJ
cana-5210	127	17	-	-	PUNCT
cana-5210	127	18	time	time	NOUN
cana-5210	127	19	data	datum	NOUN
cana-5210	127	20	:	:	PUNCT
cana-5210	127	21	a	a	DET
cana-5210	127	22	sample	sample	NOUN
cana-5210	127	23	of	of	ADP
cana-5210	127	24	real	real	ADJ
cana-5210	127	25	-	-	PUNCT
cana-5210	127	26	time	time	NOUN
cana-5210	127	27	data	datum	NOUN
cana-5210	127	28	is	be	AUX
cana-5210	127	29	created	create	VERB
cana-5210	127	30	with	with	ADP
cana-5210	127	31	various	various	ADJ
cana-5210	127	32	network	network	NOUN
cana-5210	127	33	traffic	traffic	NOUN
cana-5210	127	34	features	feature	NOUN
cana-5210	127	35	,	,	PUNCT
cana-5210	127	36	such	such	ADJ
cana-5210	127	37	as	as	ADP
cana-5210	127	38	'	'	PUNCT
cana-5210	127	39	idle	idle	ADJ
cana-5210	127	40	mean	mean	NOUN
cana-5210	127	41	'	'	PUNCT
cana-5210	127	42	,	,	PUNCT
cana-5210	127	43	'	'	PUNCT
cana-5210	127	44	fwd	fwd	VERB
cana-5210	127	45	iat	iat	PROPN
cana-5210	127	46	std	std	PROPN
cana-5210	127	47	'	'	PROPN
cana-5210	127	48	,	,	PUNCT
cana-5210	127	49	'	'	PUNCT
cana-5210	127	50	idle	idle	ADJ
cana-5210	127	51	min	min	NOUN
cana-5210	127	52	'	'	PUNCT
cana-5210	127	53	,	,	PUNCT
cana-5210	127	54	and	and	CCONJ
cana-5210	127	55	so	so	ADV
cana-5210	127	56	on	on	ADV
cana-5210	127	57	.	.	PUNCT
cana-5210	128	1	this	this	DET
cana-5210	128	2	data	data	NOUN
cana-5210	128	3	is	be	AUX
cana-5210	128	4	scaled	scale	VERB
cana-5210	128	5	using	use	VERB
cana-5210	128	6	the	the	DET
cana-5210	128	7	same	same	ADJ
cana-5210	128	8	scaler	scaler	NOUN
cana-5210	128	9	as	as	ADP
cana-5210	128	10	during	during	ADP
cana-5210	128	11	training	training	NOUN
cana-5210	128	12	and	and	CCONJ
cana-5210	128	13	reshaped	reshape	VERB
cana-5210	128	14	into	into	ADP
cana-5210	128	15	the	the	DET
cana-5210	128	16	required	require	VERB
cana-5210	128	17	input	input	NOUN
cana-5210	128	18	format	format	NOUN
cana-5210	128	19	for	for	ADP
cana-5210	128	20	the	the	DET
cana-5210	128	21	lstm	lstm	PROPN
cana-5210	128	22	model	model	PROPN
cana-5210	128	23	.	.	PUNCT
cana-5210	129	1	figure	figure	VERB
cana-5210	129	2	6	6	NUM
cana-5210	129	3	:	:	PUNCT
cana-5210	129	4	feature	feature	NOUN
cana-5210	129	5	correlation	correlation	NOUN
cana-5210	129	6	chart	chart	NOUN
cana-5210	129	7	predicted	predict	VERB
cana-5210	129	8	label	label	NOUN
cana-5210	129	9	:	:	PUNCT
cana-5210	129	10	the	the	DET
cana-5210	129	11	model	model	NOUN
cana-5210	129	12	predicts	predict	VERB
cana-5210	129	13	the	the	DET
cana-5210	129	14	attack	attack	NOUN
cana-5210	129	15	label	label	NOUN
cana-5210	129	16	for	for	ADP
cana-5210	129	17	the	the	DET
cana-5210	129	18	real	real	ADJ
cana-5210	129	19	-	-	PUNCT
cana-5210	129	20	time	time	NOUN
cana-5210	129	21	data	datum	NOUN
cana-5210	129	22	,	,	PUNCT
cana-5210	129	23	and	and	CCONJ
cana-5210	129	24	the	the	DET
cana-5210	129	25	predicted	predict	VERB
cana-5210	129	26	label	label	NOUN
cana-5210	129	27	is	be	AUX
cana-5210	129	28	converted	convert	VERB
cana-5210	129	29	back	back	ADV
cana-5210	129	30	to	to	ADP
cana-5210	129	31	its	its	PRON
cana-5210	129	32	original	original	ADJ
cana-5210	129	33	string	string	NOUN
cana-5210	129	34	form	form	NOUN
cana-5210	129	35	(	(	PUNCT
cana-5210	129	36	e.g.	e.g.	ADV
cana-5210	129	37	,	,	PUNCT
cana-5210	129	38	'	'	PUNCT
cana-5210	129	39	ddos	ddo	NOUN
cana-5210	129	40	'	'	PUNCT
cana-5210	129	41	,	,	PUNCT
cana-5210	129	42	'	'	PUNCT
cana-5210	129	43	benign	benign	ADJ
cana-5210	129	44	'	'	PUNCT
cana-5210	129	45	)	)	PUNCT
cana-5210	129	46	using	use	VERB
cana-5210	129	47	label	label	NOUN
cana-5210	129	48	encoder	encoder	NOUN
cana-5210	129	49	.	.	PUNCT
cana-5210	130	1	figure	figure	VERB
cana-5210	130	2	7	7	NUM
cana-5210	130	3	:	:	PUNCT
cana-5210	130	4	predicted	predict	VERB
cana-5210	130	5	attack	attack	NOUN
cana-5210	130	6	label	label	NOUN
cana-5210	130	7	communications	communication	NOUN
cana-5210	130	8	on	on	ADP
cana-5210	130	9	applied	apply	VERB
cana-5210	130	10	nonlinear	nonlinear	ADJ
cana-5210	130	11	analysis	analysis	NOUN
cana-5210	130	12	issn	issn	NOUN
cana-5210	130	13	:	:	PUNCT
cana-5210	130	14	1074	1074	NUM
cana-5210	130	15	-	-	PUNCT
cana-5210	130	16	133x	133x	NUM
cana-5210	130	17	vol	vol	VERB
cana-5210	130	18	32	32	NUM
cana-5210	130	19	no	no	NOUN
cana-5210	130	20	.	.	PUNCT
cana-5210	131	1	10s	10	NOUN
cana-5210	131	2	(	(	PUNCT
cana-5210	131	3	2025	2025	NUM
cana-5210	131	4	)	)	PUNCT
cana-5210	131	5	1161	1161	NUM
cana-5210	131	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	132	1	the	the	DET
cana-5210	132	2	comparison	comparison	NOUN
cana-5210	132	3	of	of	ADP
cana-5210	132	4	three	three	NUM
cana-5210	132	5	key	key	ADJ
cana-5210	132	6	evaluation	evaluation	NOUN
cana-5210	132	7	metrics	metric	NOUN
cana-5210	132	8	precision	precision	NOUN
cana-5210	132	9	,	,	PUNCT
cana-5210	132	10	recall	recall	NOUN
cana-5210	132	11	,	,	PUNCT
cana-5210	132	12	and	and	CCONJ
cana-5210	132	13	f1	f1	NOUN
cana-5210	132	14	-	-	PUNCT
cana-5210	132	15	score	score	NOUN
cana-5210	132	16	across	across	ADP
cana-5210	132	17	four	four	NUM
cana-5210	132	18	network	network	NOUN
cana-5210	132	19	traffic	traffic	NOUN
cana-5210	132	20	classes	class	NOUN
cana-5210	132	21	:	:	PUNCT
cana-5210	132	22	benign	benign	ADJ
cana-5210	132	23	,	,	PUNCT
cana-5210	132	24	ddos	ddo	NOUN
cana-5210	132	25	,	,	PUNCT
cana-5210	132	26	dos	do	NOUN
cana-5210	132	27	,	,	PUNCT
cana-5210	132	28	and	and	CCONJ
cana-5210	132	29	portscan	portscan	NOUN
cana-5210	132	30	as	as	SCONJ
cana-5210	132	31	shown	show	VERB
cana-5210	132	32	below	below	ADP
cana-5210	132	33	figure	figure	NOUN
cana-5210	132	34	8	8	NUM
cana-5210	132	35	.	.	PUNCT
cana-5210	133	1	figure.8	figure.8	NOUN
cana-5210	133	2	.	.	NOUN
cana-5210	133	3	comparison	comparison	NOUN
cana-5210	133	4	of	of	ADP
cana-5210	133	5	metrics	metric	NOUN
cana-5210	133	6	observations	observation	NOUN
cana-5210	133	7	:	:	PUNCT
cana-5210	133	8	•	•	NUM
cana-5210	133	9	benign	benign	ADJ
cana-5210	133	10	class	class	NOUN
cana-5210	133	11	:	:	PUNCT
cana-5210	133	12	high	high	ADJ
cana-5210	133	13	metrics	metric	NOUN
cana-5210	133	14	across	across	ADP
cana-5210	133	15	the	the	DET
cana-5210	133	16	board	board	NOUN
cana-5210	133	17	(	(	PUNCT
cana-5210	133	18	precision	precision	NOUN
cana-5210	133	19	:	:	PUNCT
cana-5210	133	20	0.97	0.97	NUM
cana-5210	133	21	,	,	PUNCT
cana-5210	133	22	recall	recall	NOUN
cana-5210	133	23	:	:	PUNCT
cana-5210	133	24	0.99	0.99	NUM
cana-5210	133	25	,	,	PUNCT
cana-5210	133	26	f1	f1	NOUN
cana-5210	133	27	-	-	PUNCT
cana-5210	133	28	score	score	NOUN
cana-5210	133	29	:	:	PUNCT
cana-5210	133	30	0.98	0.98	NUM
cana-5210	133	31	)	)	PUNCT
cana-5210	133	32	,	,	PUNCT
cana-5210	133	33	indicating	indicate	VERB
cana-5210	133	34	excellent	excellent	ADJ
cana-5210	133	35	detection	detection	NOUN
cana-5210	133	36	of	of	ADP
cana-5210	133	37	normal	normal	ADJ
cana-5210	133	38	traffic	traffic	NOUN
cana-5210	133	39	.	.	PUNCT
cana-5210	134	1	•	•	NUM
cana-5210	134	2	ddos	ddos	NOUN
cana-5210	134	3	class	class	NOUN
cana-5210	134	4	:	:	PUNCT
cana-5210	134	5	slightly	slightly	ADV
cana-5210	134	6	lower	low	ADJ
cana-5210	134	7	recall	recall	NOUN
cana-5210	134	8	(	(	PUNCT
cana-5210	134	9	0.95	0.95	NUM
cana-5210	134	10	)	)	PUNCT
cana-5210	134	11	compared	compare	VERB
cana-5210	134	12	to	to	ADP
cana-5210	134	13	precision	precision	NOUN
cana-5210	134	14	and	and	CCONJ
cana-5210	134	15	f1	f1	NOUN
cana-5210	134	16	-	-	PUNCT
cana-5210	134	17	score	score	NOUN
cana-5210	134	18	(	(	PUNCT
cana-5210	134	19	0.97	0.97	NUM
cana-5210	134	20	and	and	CCONJ
cana-5210	134	21	0.96	0.96	NUM
cana-5210	134	22	)	)	PUNCT
cana-5210	134	23	,	,	PUNCT
cana-5210	134	24	showing	show	VERB
cana-5210	134	25	a	a	DET
cana-5210	134	26	minor	minor	ADJ
cana-5210	134	27	issue	issue	NOUN
cana-5210	134	28	in	in	ADP
cana-5210	134	29	identifying	identify	VERB
cana-5210	134	30	all	all	DET
cana-5210	134	31	ddos	ddo	NOUN
cana-5210	134	32	attacks	attack	NOUN
cana-5210	134	33	.	.	PUNCT
cana-5210	135	1	•	•	NUM
cana-5210	135	2	dos	do	NOUN
cana-5210	135	3	class	class	NOUN
cana-5210	135	4	:	:	PUNCT
cana-5210	135	5	noticeable	noticeable	ADJ
cana-5210	135	6	drop	drop	NOUN
cana-5210	135	7	in	in	ADP
cana-5210	135	8	recall	recall	NOUN
cana-5210	135	9	(	(	PUNCT
cana-5210	135	10	0.89	0.89	NUM
cana-5210	135	11	)	)	PUNCT
cana-5210	135	12	,	,	PUNCT
cana-5210	135	13	resulting	result	VERB
cana-5210	135	14	in	in	ADP
cana-5210	135	15	a	a	DET
cana-5210	135	16	slightly	slightly	ADV
cana-5210	135	17	lower	low	ADJ
cana-5210	135	18	f1	f1	NOUN
cana-5210	135	19	-	-	PUNCT
cana-5210	135	20	score	score	NOUN
cana-5210	135	21	(	(	PUNCT
cana-5210	135	22	0.93	0.93	NUM
cana-5210	135	23	)	)	PUNCT
cana-5210	135	24	.	.	PUNCT
cana-5210	136	1	this	this	PRON
cana-5210	136	2	suggests	suggest	VERB
cana-5210	136	3	room	room	NOUN
cana-5210	136	4	for	for	ADP
cana-5210	136	5	improvement	improvement	NOUN
cana-5210	136	6	in	in	ADP
cana-5210	136	7	detecting	detect	VERB
cana-5210	136	8	dos	do	NOUN
cana-5210	136	9	attacks	attack	NOUN
cana-5210	136	10	.	.	PUNCT
cana-5210	137	1	•	•	NUM
cana-5210	137	2	portscan	portscan	NOUN
cana-5210	137	3	class	class	NOUN
cana-5210	137	4	:	:	PUNCT
cana-5210	137	5	balanced	balanced	ADJ
cana-5210	137	6	performance	performance	NOUN
cana-5210	137	7	with	with	ADP
cana-5210	137	8	high	high	ADJ
cana-5210	137	9	recall	recall	NOUN
cana-5210	137	10	(	(	PUNCT
cana-5210	137	11	0.99	0.99	NUM
cana-5210	137	12	)	)	PUNCT
cana-5210	137	13	but	but	CCONJ
cana-5210	137	14	slightly	slightly	ADV
cana-5210	137	15	lower	low	ADJ
cana-5210	137	16	precision	precision	NOUN
cana-5210	137	17	(	(	PUNCT
cana-5210	137	18	0.96	0.96	NUM
cana-5210	137	19	)	)	PUNCT
cana-5210	137	20	,	,	PUNCT
cana-5210	137	21	indicating	indicate	VERB
cana-5210	137	22	occasional	occasional	ADJ
cana-5210	137	23	false	false	ADJ
cana-5210	137	24	positives	positive	NOUN
cana-5210	137	25	.	.	PUNCT
cana-5210	138	1	figure.9	figure.9	NOUN
cana-5210	138	2	.	.	PUNCT
cana-5210	139	1	metrics	metric	NOUN
cana-5210	139	2	across	across	ADP
cana-5210	139	3	classes	class	NOUN
cana-5210	139	4	communications	communication	NOUN
cana-5210	139	5	on	on	ADP
cana-5210	139	6	applied	apply	VERB
cana-5210	139	7	nonlinear	nonlinear	ADJ
cana-5210	139	8	analysis	analysis	NOUN
cana-5210	139	9	issn	issn	NOUN
cana-5210	139	10	:	:	PUNCT
cana-5210	139	11	1074	1074	NUM
cana-5210	139	12	-	-	PUNCT
cana-5210	139	13	133x	133x	NUM
cana-5210	139	14	vol	vol	VERB
cana-5210	139	15	32	32	NUM
cana-5210	139	16	no	no	NOUN
cana-5210	139	17	.	.	PUNCT
cana-5210	140	1	10s	10	NOUN
cana-5210	140	2	(	(	PUNCT
cana-5210	140	3	2025	2025	NUM
cana-5210	140	4	)	)	PUNCT
cana-5210	140	5	1162	1162	NUM
cana-5210	140	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5210	140	7	overall	overall	ADJ
cana-5210	140	8	,	,	PUNCT
cana-5210	140	9	the	the	DET
cana-5210	140	10	lstm	lstm	NOUN
cana-5210	140	11	model	model	NOUN
cana-5210	140	12	demonstrates	demonstrate	VERB
cana-5210	140	13	high	high	ADJ
cana-5210	140	14	performance	performance	NOUN
cana-5210	140	15	in	in	ADP
cana-5210	140	16	detecting	detect	VERB
cana-5210	140	17	benign	benign	ADJ
cana-5210	140	18	and	and	CCONJ
cana-5210	140	19	portscan	portscan	ADJ
cana-5210	140	20	traffic	traffic	NOUN
cana-5210	140	21	,	,	PUNCT
cana-5210	140	22	with	with	ADP
cana-5210	140	23	slight	slight	ADJ
cana-5210	140	24	room	room	NOUN
cana-5210	140	25	for	for	ADP
cana-5210	140	26	improvement	improvement	NOUN
cana-5210	140	27	in	in	ADP
cana-5210	140	28	detecting	detect	VERB
cana-5210	140	29	ddos	ddo	NOUN
cana-5210	140	30	and	and	CCONJ
cana-5210	140	31	dos	do	NOUN
cana-5210	140	32	attacks	attack	NOUN
cana-5210	140	33	,	,	PUNCT
cana-5210	140	34	particularly	particularly	ADV
cana-5210	140	35	in	in	ADP
cana-5210	140	36	recall	recall	NOUN
cana-5210	140	37	for	for	ADP
cana-5210	140	38	dos	do	NOUN
cana-5210	140	39	.	.	PUNCT
cana-5210	141	1	4	4	X
cana-5210	141	2	.	.	X
cana-5210	141	3	conclusion	conclusion	NOUN
cana-5210	141	4	using	use	VERB
cana-5210	141	5	machine	machine	NOUN
cana-5210	141	6	learning	learning	NOUN
cana-5210	141	7	,	,	PUNCT
cana-5210	141	8	and	and	CCONJ
cana-5210	141	9	more	more	ADV
cana-5210	141	10	especially	especially	ADV
cana-5210	141	11	lstm	lstm	ADJ
cana-5210	141	12	-	-	PUNCT
cana-5210	141	13	based	base	VERB
cana-5210	141	14	neural	neural	ADJ
cana-5210	141	15	networks	network	NOUN
cana-5210	141	16	,	,	PUNCT
cana-5210	141	17	this	this	DET
cana-5210	141	18	system	system	NOUN
cana-5210	141	19	offers	offer	VERB
cana-5210	141	20	a	a	DET
cana-5210	141	21	reliable	reliable	ADJ
cana-5210	141	22	method	method	NOUN
cana-5210	141	23	for	for	ADP
cana-5210	141	24	identifying	identify	VERB
cana-5210	141	25	network	network	NOUN
cana-5210	141	26	threats	threat	NOUN
cana-5210	141	27	.	.	PUNCT
cana-5210	142	1	the	the	DET
cana-5210	142	2	system	system	NOUN
cana-5210	142	3	can	can	AUX
cana-5210	142	4	separate	separate	VERB
cana-5210	142	5	several	several	ADJ
cana-5210	142	6	types	type	NOUN
cana-5210	142	7	of	of	ADP
cana-5210	142	8	attacks	attack	NOUN
cana-5210	142	9	based	base	VERB
cana-5210	142	10	on	on	ADP
cana-5210	142	11	patterns	pattern	NOUN
cana-5210	142	12	it	it	PRON
cana-5210	142	13	detects	detect	VERB
cana-5210	142	14	in	in	ADP
cana-5210	142	15	network	network	NOUN
cana-5210	142	16	traffic	traffic	NOUN
cana-5210	142	17	by	by	ADP
cana-5210	142	18	using	use	VERB
cana-5210	142	19	sequential	sequential	ADJ
cana-5210	142	20	data	datum	NOUN
cana-5210	142	21	modelling	modelling	NOUN
cana-5210	142	22	.	.	PUNCT
cana-5210	143	1	by	by	ADP
cana-5210	143	2	deploying	deploy	VERB
cana-5210	143	3	the	the	DET
cana-5210	143	4	model	model	NOUN
cana-5210	143	5	for	for	ADP
cana-5210	143	6	real	real	ADJ
cana-5210	143	7	-	-	PUNCT
cana-5210	143	8	time	time	NOUN
cana-5210	143	9	network	network	NOUN
cana-5210	143	10	monitoring	monitoring	NOUN
cana-5210	143	11	,	,	PUNCT
cana-5210	143	12	networks	network	NOUN
cana-5210	143	13	can	can	AUX
cana-5210	143	14	be	be	AUX
cana-5210	143	15	better	well	ADV
cana-5210	143	16	protected	protect	VERB
cana-5210	143	17	from	from	ADP
cana-5210	143	18	security	security	NOUN
cana-5210	143	19	threats	threat	NOUN
cana-5210	143	20	and	and	CCONJ
cana-5210	143	21	harmful	harmful	ADJ
cana-5210	143	22	actions	action	NOUN
cana-5210	143	23	can	can	AUX
cana-5210	143	24	be	be	AUX
cana-5210	143	25	more	more	ADV
cana-5210	143	26	easily	easily	ADV
cana-5210	143	27	identified	identify	VERB
cana-5210	143	28	.	.	PUNCT
cana-5210	144	1	in	in	ADP
cana-5210	144	2	order	order	NOUN
cana-5210	144	3	to	to	PART
cana-5210	144	4	enhance	enhance	VERB
cana-5210	144	5	the	the	DET
cana-5210	144	6	detection	detection	NOUN
cana-5210	144	7	capabilities	capability	NOUN
cana-5210	144	8	even	even	ADV
cana-5210	144	9	more	more	ADV
cana-5210	144	10	,	,	PUNCT
cana-5210	144	11	future	future	ADJ
cana-5210	144	12	enhancements	enhancement	NOUN
cana-5210	144	13	could	could	AUX
cana-5210	144	14	involve	involve	VERB
cana-5210	144	15	tweaking	tweak	VERB
cana-5210	144	16	the	the	DET
cana-5210	144	17	model	model	NOUN
cana-5210	144	18	,	,	PUNCT
cana-5210	144	19	trying	try	VERB
cana-5210	144	20	out	out	ADP
cana-5210	144	21	new	new	ADJ
cana-5210	144	22	architectures	architecture	NOUN
cana-5210	144	23	,	,	PUNCT
cana-5210	144	24	or	or	CCONJ
cana-5210	144	25	employing	employ	VERB
cana-5210	144	26	more	more	ADV
cana-5210	144	27	sophisticated	sophisticated	ADJ
cana-5210	144	28	strategies	strategy	NOUN
cana-5210	144	29	such	such	ADJ
cana-5210	144	30	as	as	ADP
cana-5210	144	31	attention	attention	NOUN
cana-5210	144	32	mechanisms	mechanism	NOUN
cana-5210	144	33	or	or	CCONJ
cana-5210	144	34	transformer	transformer	NOUN
cana-5210	144	35	-	-	PUNCT
cana-5210	144	36	based	base	VERB
cana-5210	144	37	models	model	NOUN
cana-5210	144	38	.	.	PUNCT
cana-5210	145	1	references	reference	NOUN
cana-5210	145	2	[	[	X
cana-5210	145	3	1	1	X
cana-5210	145	4	]	]	PUNCT
cana-5210	145	5	vasilomanolakis	vasilomanolakis	NOUN
cana-5210	145	6	e	e	PROPN
cana-5210	145	7	,	,	PUNCT
cana-5210	145	8	karuppayah	karuppayah	PROPN
cana-5210	145	9	s	s	PROPN
cana-5210	145	10	,	,	PUNCT
cana-5210	145	11	muhlhauser	muhlhauser	PROPN
cana-5210	145	12	m	m	PROPN
cana-5210	145	13	,	,	PUNCT
cana-5210	145	14	fischer	fischer	PROPN
cana-5210	145	15	m.	m.	NOUN
cana-5210	145	16	taxonomy	taxonomy	NOUN
cana-5210	145	17	and	and	CCONJ
cana-5210	145	18	survey	survey	NOUN
cana-5210	145	19	of	of	ADP
cana-5210	145	20	collaborative	collaborative	ADJ
cana-5210	145	21	intrusion	intrusion	NOUN
cana-5210	145	22	detection	detection	NOUN
cana-5210	145	23	.	.	PUNCT
cana-5210	146	1	acm	acm	PROPN
cana-5210	146	2	computsurv	computsurv	PROPN
cana-5210	146	3	.	.	PUNCT
cana-5210	147	1	2015;47:55	2015;47:55	INTJ
cana-5210	147	2	.	.	PUNCT
cana-5210	148	1	https://doi.org/10.1145/2716260	https://doi.org/10.1145/2716260	NOUN
cana-5210	148	2	.	.	PUNCT
cana-5210	149	1	[	[	X
cana-5210	149	2	2	2	NUM
cana-5210	149	3	]	]	X
cana-5210	149	4	islam	islam	PROPN
cana-5210	149	5	,	,	PUNCT
cana-5210	149	6	u.	u.	PROPN
cana-5210	149	7	;	;	PUNCT
cana-5210	149	8	muhammad	muhammad	PROPN
cana-5210	149	9	,	,	PUNCT
cana-5210	149	10	a.	a.	NOUN
cana-5210	149	11	;	;	PUNCT
cana-5210	149	12	mansoor	mansoor	PROPN
cana-5210	149	13	,	,	PUNCT
cana-5210	149	14	r.	r.	PROPN
cana-5210	149	15	;	;	PUNCT
cana-5210	149	16	hossain	hossain	PROPN
cana-5210	149	17	,	,	PUNCT
cana-5210	149	18	m.s	m.s	PROPN
cana-5210	149	19	.	.	PROPN
cana-5210	149	20	;	;	PUNCT
cana-5210	149	21	ahmad	ahmad	PROPN
cana-5210	149	22	,	,	PUNCT
cana-5210	149	23	i.	i.	PROPN
cana-5210	149	24	;	;	PUNCT
cana-5210	149	25	eldin	eldin	PROPN
cana-5210	149	26	,	,	PUNCT
cana-5210	149	27	e.t	e.t	PROPN
cana-5210	149	28	.	.	PROPN
cana-5210	149	29	;	;	PUNCT
cana-5210	149	30	khan	khan	PROPN
cana-5210	149	31	,	,	PUNCT
cana-5210	149	32	j.a	j.a	PROPN
cana-5210	149	33	.	.	PROPN
cana-5210	149	34	;	;	PUNCT
cana-5210	149	35	rehman	rehman	PROPN
cana-5210	149	36	,	,	PUNCT
cana-5210	149	37	a.u	a.u	PROPN
cana-5210	149	38	.	.	PROPN
cana-5210	149	39	;	;	PUNCT
cana-5210	149	40	shafiq	shafiq	PROPN
cana-5210	149	41	,	,	PUNCT
cana-5210	149	42	m.	m.	NOUN
cana-5210	149	43	detection	detection	NOUN
cana-5210	149	44	of	of	ADP
cana-5210	149	45	distributed	distribute	VERB
cana-5210	149	46	denial	denial	NOUN
cana-5210	149	47	of	of	ADP
cana-5210	149	48	service	service	NOUN
cana-5210	149	49	(	(	PUNCT
cana-5210	149	50	ddos	ddo	NOUN
cana-5210	149	51	)	)	PUNCT
cana-5210	149	52	attacks	attack	NOUN
cana-5210	149	53	in	in	ADP
cana-5210	149	54	iot	iot	PROPN
cana-5210	149	55	based	base	VERB
cana-5210	149	56	monitoring	monitoring	NOUN
cana-5210	149	57	system	system	NOUN
cana-5210	149	58	of	of	ADP
cana-5210	149	59	banking	banking	NOUN
cana-5210	149	60	sector	sector	NOUN
cana-5210	149	61	using	use	VERB
cana-5210	149	62	machine	machine	NOUN
cana-5210	149	63	learning	learning	NOUN
cana-5210	149	64	models	model	NOUN
cana-5210	149	65	.	.	PUNCT
cana-5210	150	1	sustainability	sustainability	NOUN
cana-5210	150	2	2022	2022	NUM
cana-5210	150	3	,	,	PUNCT
cana-5210	150	4	14	14	NUM
cana-5210	150	5	,	,	PUNCT
cana-5210	150	6	8374	8374	NUM
cana-5210	150	7	.	.	PUNCT
cana-5210	151	1	https://doi.org/10.3390/su14148374	https://doi.org/10.3390/su14148374	PUNCT
cana-5210	152	1	[	[	X
cana-5210	152	2	3	3	NUM
cana-5210	152	3	]	]	X
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cana-5210	152	5	,	,	PUNCT
cana-5210	152	6	h.	h.	PROPN
cana-5210	152	7	;	;	PUNCT
cana-5210	152	8	venkatesan	venkatesan	PROPN
cana-5210	152	9	,	,	PUNCT
cana-5210	152	10	v.p	v.p	PROPN
cana-5210	152	11	.	.	PROPN
cana-5210	152	12	conceptual	conceptual	ADJ
cana-5210	152	13	analysis	analysis	NOUN
cana-5210	152	14	of	of	ADP
cana-5210	152	15	internet	internet	NOUN
cana-5210	152	16	of	of	ADP
cana-5210	152	17	things	thing	NOUN
cana-5210	152	18	use	use	VERB
cana-5210	152	19	cases	case	NOUN
cana-5210	152	20	in	in	ADP
cana-5210	152	21	banking	banking	NOUN
cana-5210	152	22	domain	domain	NOUN
cana-5210	152	23	.	.	PUNCT
cana-5210	153	1	in	in	ADP
cana-5210	153	2	proceedings	proceeding	NOUN
cana-5210	153	3	of	of	ADP
cana-5210	153	4	the	the	DET
cana-5210	153	5	tencon	tencon	NOUN
cana-5210	153	6	2019	2019	NUM
cana-5210	153	7	-	-	SYM
cana-5210	153	8	2019	2019	NUM
cana-5210	153	9	ieee	ieee	NOUN
cana-5210	153	10	region	region	NOUN
cana-5210	153	11	10	10	NUM
cana-5210	153	12	conference	conference	NOUN
cana-5210	153	13	(	(	PUNCT
cana-5210	153	14	tencon	tencon	NOUN
cana-5210	153	15	)	)	PUNCT
cana-5210	153	16	,	,	PUNCT
cana-5210	153	17	kochi	kochi	PROPN
cana-5210	153	18	,	,	PUNCT
cana-5210	153	19	india	india	PROPN
cana-5210	153	20	,	,	PUNCT
cana-5210	153	21	17–20	17–20	NUM
cana-5210	153	22	october	october	NOUN
cana-5210	153	23	2019	2019	NUM
cana-5210	153	24	;	;	PUNCT
cana-5210	153	25	pp	pp	ADP
cana-5210	153	26	.	.	PUNCT
cana-5210	154	1	2034–2039	2034–2039	NUM
cana-5210	154	2	.	.	PUNCT
cana-5210	155	1	[	[	X
cana-5210	155	2	4	4	NUM
cana-5210	155	3	]	]	X
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cana-5210	155	5	.	.	PUNCT
cana-5210	156	1	[	[	X
cana-5210	156	2	5	5	NUM
cana-5210	156	3	]	]	X
cana-5210	156	4	george	george	PROPN
cana-5210	156	5	,	,	PUNCT
cana-5210	156	6	a.	a.	NOUN
cana-5210	156	7	;	;	PUNCT
cana-5210	156	8	ravindran	ravindran	NOUN
cana-5210	156	9	,	,	PUNCT
cana-5210	156	10	a.	a.	NOUN
cana-5210	156	11	;	;	PUNCT
cana-5210	156	12	mendieta	mendieta	PROPN
cana-5210	156	13	,	,	PUNCT
cana-5210	156	14	m.	m.	NOUN
cana-5210	156	15	;	;	PUNCT
cana-5210	156	16	tabkhi	tabkhi	PROPN
cana-5210	156	17	,	,	PUNCT
cana-5210	156	18	h.	h.	PROPN
cana-5210	156	19	mez	mez	PROPN
cana-5210	156	20	:	:	PUNCT
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cana-5210	156	23	messaging	messaging	NOUN
cana-5210	156	24	system	system	NOUN
cana-5210	156	25	for	for	ADP
cana-5210	156	26	latency	latency	NOUN
cana-5210	156	27	-	-	PUNCT
cana-5210	156	28	sensitive	sensitive	ADJ
cana-5210	156	29	multi	multi	ADJ
cana-5210	156	30	-	-	ADJ
cana-5210	156	31	camera	camera	ADJ
cana-5210	156	32	machine	machine	NOUN
cana-5210	156	33	vision	vision	NOUN
cana-5210	156	34	at	at	ADP
cana-5210	156	35	the	the	DET
cana-5210	156	36	iot	iot	PROPN
cana-5210	156	37	edge	edge	NOUN
cana-5210	156	38	.	.	PUNCT
cana-5210	157	1	ieee	ieee	NOUN
cana-5210	157	2	access	access	NOUN
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cana-5210	157	4	,	,	PUNCT
cana-5210	157	5	9	9	NUM
cana-5210	157	6	,	,	PUNCT
cana-5210	157	7	21457	21457	NUM
cana-5210	157	8	–	–	PUNCT
cana-5210	157	9	21473	21473	NUM
cana-5210	157	10	.	.	PUNCT
cana-5210	158	1	https://doi.org/10.1109/access.2021.3055775	https://doi.org/10.1109/access.2021.3055775	NOUN
cana-5210	158	2	.	.	PUNCT
cana-5210	159	1	[	[	X
cana-5210	159	2	6	6	NUM
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cana-5210	159	5	,	,	PUNCT
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cana-5210	159	7	;	;	PUNCT
cana-5210	159	8	abdelsalam	abdelsalam	PROPN
cana-5210	159	9	,	,	PUNCT
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cana-5210	159	11	;	;	PUNCT
cana-5210	159	12	khorsandroo	khorsandroo	PROPN
cana-5210	159	13	,	,	PUNCT
cana-5210	159	14	s.	s.	PROPN
cana-5210	159	15	;	;	PUNCT
cana-5210	159	16	mittal	mittal	PROPN
cana-5210	159	17	,	,	PUNCT
cana-5210	159	18	s.	s.	PROPN
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cana-5210	159	21	privacy	privacy	NOUN
cana-5210	159	22	in	in	ADP
cana-5210	159	23	smart	smart	ADJ
cana-5210	159	24	farming	farming	NOUN
cana-5210	159	25	:	:	PUNCT
cana-5210	159	26	challenges	challenge	NOUN
cana-5210	159	27	and	and	CCONJ
cana-5210	159	28	opportunities	opportunity	NOUN
cana-5210	159	29	.	.	PUNCT
cana-5210	160	1	ieee	ieee	NOUN
cana-5210	160	2	access	access	NOUN
cana-5210	160	3	2020	2020	NUM
cana-5210	160	4	,	,	PUNCT
cana-5210	160	5	8	8	NUM
cana-5210	160	6	,	,	PUNCT
cana-5210	160	7	34564–34584	34564–34584	NUM
cana-5210	160	8	.	.	PUNCT
cana-5210	161	1	[	[	X
cana-5210	161	2	7	7	X
cana-5210	161	3	]	]	X
cana-5210	161	4	https://doi.org/10.1109/access.2020.2975142	https://doi.org/10.1109/access.2020.2975142	PROPN
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cana-5210	162	1	[	[	X
cana-5210	162	2	8	8	NUM
cana-5210	162	3	]	]	X
cana-5210	162	4	md	md	PROPN
cana-5210	162	5	delwar	delwar	PROPN
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cana-5210	162	8	hideyaochiai	hideyaochiai	PROPN
cana-5210	162	9	,	,	PUNCT
cana-5210	162	10	doudou	doudou	NOUN
cana-5210	162	11	fall	fall	PROPN
cana-5210	162	12	,	,	PUNCT
cana-5210	162	13	youkikadobayashi	youkikadobayashi	PRON
cana-5210	162	14	,	,	PUNCT
cana-5210	162	15	“	"	PUNCT
cana-5210	162	16	lstm	lstm	NOUN
cana-5210	162	17	-	-	PUNCT
cana-5210	162	18	based	base	VERB
cana-5210	162	19	network	network	NOUN
cana-5210	162	20	attack	attack	NOUN
cana-5210	162	21	detection	detection	NOUN
cana-5210	162	22	:	:	PUNCT
cana-5210	162	23	performance	performance	NOUN
cana-5210	162	24	comparison	comparison	NOUN
cana-5210	162	25	by	by	ADP
cana-5210	162	26	hyper	hyper	ADJ
cana-5210	162	27	-	-	ADJ
cana-5210	162	28	parameter	parameter	ADJ
cana-5210	162	29	values	value	NOUN
cana-5210	162	30	tuning	tune	VERB
cana-5210	162	31	”	"	PUNCT
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cana-5210	163	1	[	[	X
cana-5210	163	2	9	9	NUM
cana-5210	163	3	]	]	PUNCT
cana-5210	163	4	s.	s.	PROPN
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cana-5210	163	6	,	,	PUNCT
cana-5210	163	7	r.	r.	PROPN
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cana-5210	163	9	,	,	PUNCT
cana-5210	163	10	sangsoon	sangsoon	PROPN
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cana-5210	163	13	“	"	PUNCT
cana-5210	163	14	recurrent	recurrent	ADJ
cana-5210	163	15	and	and	CCONJ
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cana-5210	163	18	neural	neural	ADJ
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cana-5210	163	20	models	model	NOUN
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cana-5210	163	25	”	"	PUNCT
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cana-5210	164	2	10	10	NUM
cana-5210	164	3	]	]	X
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cana-5210	164	6	h.h	h.h	PROPN
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cana-5210	164	8	;	;	PUNCT
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cana-5210	164	11	c.h	c.h	PROPN
cana-5210	164	12	.	.	PROPN
cana-5210	164	13	;	;	PUNCT
cana-5210	164	14	huang	huang	PROPN
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cana-5210	164	16	s.k	s.k	PROPN
cana-5210	164	17	.	.	PUNCT
cana-5210	164	18	a	a	DET
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cana-5210	164	20	ant	ant	ADJ
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cana-5210	165	3	.	.	PUNCT
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cana-5210	166	2	.	.	PUNCT
cana-5210	167	1	eng	eng	PROPN
cana-5210	167	2	.	.	PROPN
cana-5210	167	3	2016	2016	NUM
cana-5210	167	4	,	,	PUNCT
cana-5210	167	5	32	32	NUM
cana-5210	167	6	,	,	PUNCT
cana-5210	167	7	1397–1434	1397–1434	NUM
cana-5210	167	8	.	.	PUNCT
cana-5210	168	1	https://jise.iis.sinica.edu.tw	https://jise.iis.sinica.edu.tw	NOUN
cana-5210	168	2	.	.	PUNCT
cana-5210	169	1	[	[	X
cana-5210	169	2	11	11	NUM
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cana-5210	187	11	.	.	PUNCT
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cana-5210	194	1	"	"	PUNCT
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cana-5210	194	13	-	-	ADJ
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cana-5210	194	19	iot	iot	PROPN
cana-5210	194	20	edge	edge	NOUN
cana-5210	194	21	.	.	PUNCT
cana-5210	194	22	"	"	PUNCT
cana-5210	195	1	ieee	ieee	NOUN
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cana-5210	195	3	,	,	PUNCT
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cana-5210	195	7	,	,	PUNCT
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cana-5210	195	9	,	,	PUNCT
cana-5210	195	10	pp	pp	ADJ
cana-5210	195	11	.	.	PUNCT
cana-5210	195	12	21457–21473	21457–21473	NUM
cana-5210	195	13	.	.	PUNCT
cana-5210	196	1	https://doi.org/10.1109/access.2021.3055775	https://doi.org/10.1109/access.2021.3055775	NOUN
cana-5210	196	2	.	.	PUNCT
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cana-5210	197	10	.	.	PUNCT
cana-5210	198	1	"	"	PUNCT
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cana-5210	198	8	:	:	PUNCT
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cana-5210	198	12	.	.	PUNCT
cana-5210	198	13	"	"	PUNCT
cana-5210	198	14	ieee	ieee	NOUN
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cana-5210	198	16	,	,	PUNCT
cana-5210	198	17	vol	vol	NOUN
cana-5210	198	18	.	.	NOUN
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cana-5210	198	20	,	,	PUNCT
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cana-5210	198	22	,	,	PUNCT
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cana-5210	199	2	.	.	PUNCT
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cana-5210	200	2	.	.	PUNCT
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