id	sid	tid	token	lemma	pos
cana-5400	1	1	communications	communication	NOUN
cana-5400	1	2	on	on	ADP
cana-5400	1	3	applied	apply	VERB
cana-5400	1	4	nonlinear	nonlinear	ADJ
cana-5400	1	5	analysis	analysis	NOUN
cana-5400	1	6	issn	issn	NOUN
cana-5400	1	7	:	:	PUNCT
cana-5400	1	8	1074	1074	NUM
cana-5400	1	9	-	-	PUNCT
cana-5400	1	10	133x	133x	NUM
cana-5400	1	11	vol	vol	NOUN
cana-5400	1	12	32	32	NUM
cana-5400	1	13	no	no	NOUN
cana-5400	1	14	.	.	PUNCT
cana-5400	2	1	icmasd	icmasd	NOUN
cana-5400	2	2	(	(	PUNCT
cana-5400	2	3	2025	2025	NUM
cana-5400	2	4	)	)	PUNCT
cana-5400	2	5	1842	1842	NUM
cana-5400	3	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	3	2	intrusion	intrusion	NOUN
cana-5400	3	3	detection	detection	NOUN
cana-5400	3	4	in	in	ADP
cana-5400	3	5	wireless	wireless	ADJ
cana-5400	3	6	sensor	sensor	NOUN
cana-5400	3	7	networks	network	NOUN
cana-5400	3	8	using	use	VERB
cana-5400	3	9	smote	smote	PROPN
cana-5400	3	10	tomek	tomek	PROPN
cana-5400	3	11	link	link	NOUN
cana-5400	3	12	sampling	sample	VERB
cana-5400	3	13	technique	technique	NOUN
cana-5400	3	14	gurpreet	gurpreet	NOUN
cana-5400	3	15	kaur1	kaur1	PROPN
cana-5400	3	16	,	,	PUNCT
cana-5400	3	17	kamal	kamal	PROPN
cana-5400	3	18	malik1	malik1	PROPN
cana-5400	3	19	1	1	NUM
cana-5400	3	20	department	department	NOUN
cana-5400	3	21	of	of	ADP
cana-5400	3	22	computer	computer	NOUN
cana-5400	3	23	science	science	PROPN
cana-5400	3	24	&	&	CCONJ
cana-5400	3	25	engineering	engineering	PROPN
cana-5400	3	26	,	,	PUNCT
cana-5400	3	27	ct	ct	PROPN
cana-5400	3	28	university	university	NOUN
cana-5400	3	29	,	,	PUNCT
cana-5400	3	30	ludhiana	ludhiana	PROPN
cana-5400	3	31	article	article	NOUN
cana-5400	3	32	history	history	NOUN
cana-5400	3	33	:	:	PUNCT
cana-5400	3	34	received	receive	VERB
cana-5400	3	35	:	:	PUNCT
cana-5400	3	36	12	12	NUM
cana-5400	3	37	-	-	SYM
cana-5400	3	38	12	12	NUM
cana-5400	3	39	-	-	PUNCT
cana-5400	3	40	2024	2024	NUM
cana-5400	3	41	revised	revise	VERB
cana-5400	3	42	:	:	PUNCT
cana-5400	3	43	25	25	NUM
cana-5400	3	44	-	-	PUNCT
cana-5400	3	45	01	01	NUM
cana-5400	3	46	-	-	PUNCT
cana-5400	3	47	2025	2025	NUM
cana-5400	3	48	accepted	accept	VERB
cana-5400	3	49	:	:	PUNCT
cana-5400	3	50	05	05	NUM
cana-5400	3	51	-	-	PUNCT
cana-5400	3	52	02	02	NUM
cana-5400	3	53	-	-	PUNCT
cana-5400	3	54	2025	2025	NUM
cana-5400	3	55	abstract	abstract	NOUN
cana-5400	3	56	:	:	PUNCT
cana-5400	3	57	wireless	wireless	ADJ
cana-5400	3	58	sensor	sensor	NOUN
cana-5400	3	59	networks	network	NOUN
cana-5400	3	60	(	(	PUNCT
cana-5400	3	61	wsns	wsns	NOUN
cana-5400	3	62	)	)	PUNCT
cana-5400	3	63	are	be	AUX
cana-5400	3	64	an	an	DET
cana-5400	3	65	essential	essential	ADJ
cana-5400	3	66	component	component	NOUN
cana-5400	3	67	of	of	ADP
cana-5400	3	68	cyber	cyber	NOUN
cana-5400	3	69	-	-	PUNCT
cana-5400	3	70	physical	physical	ADJ
cana-5400	3	71	systems	system	NOUN
cana-5400	3	72	,	,	PUNCT
cana-5400	3	73	characterized	characterize	VERB
cana-5400	3	74	by	by	ADP
cana-5400	3	75	the	the	DET
cana-5400	3	76	integration	integration	NOUN
cana-5400	3	77	of	of	ADP
cana-5400	3	78	stationary	stationary	ADJ
cana-5400	3	79	and	and	CCONJ
cana-5400	3	80	mobile	mobile	ADJ
cana-5400	3	81	sensors	sensor	NOUN
cana-5400	3	82	that	that	PRON
cana-5400	3	83	collaboratively	collaboratively	ADV
cana-5400	3	84	capture	capture	VERB
cana-5400	3	85	and	and	CCONJ
cana-5400	3	86	transmit	transmit	VERB
cana-5400	3	87	environmental	environmental	ADJ
cana-5400	3	88	data	datum	NOUN
cana-5400	3	89	.	.	PUNCT
cana-5400	4	1	these	these	DET
cana-5400	4	2	sensors	sensor	NOUN
cana-5400	4	3	utilize	utilize	VERB
cana-5400	4	4	self	self	NOUN
cana-5400	4	5	-	-	PUNCT
cana-5400	4	6	organization	organization	NOUN
cana-5400	4	7	and	and	CCONJ
cana-5400	4	8	multi	multi	ADJ
cana-5400	4	9	-	-	ADJ
cana-5400	4	10	hop	hop	ADJ
cana-5400	4	11	communication	communication	NOUN
cana-5400	4	12	mechanisms	mechanism	NOUN
cana-5400	4	13	,	,	PUNCT
cana-5400	4	14	which	which	PRON
cana-5400	4	15	enable	enable	VERB
cana-5400	4	16	them	they	PRON
cana-5400	4	17	to	to	PART
cana-5400	4	18	efficiently	efficiently	ADV
cana-5400	4	19	gather	gather	VERB
cana-5400	4	20	and	and	CCONJ
cana-5400	4	21	process	process	VERB
cana-5400	4	22	information	information	NOUN
cana-5400	4	23	from	from	ADP
cana-5400	4	24	their	their	PRON
cana-5400	4	25	surroundings	surrounding	NOUN
cana-5400	4	26	.	.	PUNCT
cana-5400	5	1	despite	despite	SCONJ
cana-5400	5	2	the	the	DET
cana-5400	5	3	advantages	advantage	NOUN
cana-5400	5	4	provided	provide	VERB
cana-5400	5	5	by	by	ADP
cana-5400	5	6	wsns	wsns	NOUN
cana-5400	5	7	,	,	PUNCT
cana-5400	5	8	they	they	PRON
cana-5400	5	9	are	be	AUX
cana-5400	5	10	vulnerable	vulnerable	ADJ
cana-5400	5	11	to	to	ADP
cana-5400	5	12	various	various	ADJ
cana-5400	5	13	attacks	attack	NOUN
cana-5400	5	14	that	that	PRON
cana-5400	5	15	can	can	AUX
cana-5400	5	16	severely	severely	ADV
cana-5400	5	17	compromise	compromise	VERB
cana-5400	5	18	their	their	PRON
cana-5400	5	19	functionality	functionality	NOUN
cana-5400	5	20	,	,	PUNCT
cana-5400	5	21	leading	lead	VERB
cana-5400	5	22	to	to	ADP
cana-5400	5	23	a	a	DET
cana-5400	5	24	pressing	press	VERB
cana-5400	5	25	need	need	NOUN
cana-5400	5	26	for	for	ADP
cana-5400	5	27	effective	effective	ADJ
cana-5400	5	28	intrusion	intrusion	NOUN
cana-5400	5	29	detection	detection	NOUN
cana-5400	5	30	systems	system	NOUN
cana-5400	5	31	.	.	PUNCT
cana-5400	6	1	traditional	traditional	ADJ
cana-5400	6	2	intrusion	intrusion	NOUN
cana-5400	6	3	detection	detection	NOUN
cana-5400	6	4	methods	method	NOUN
cana-5400	6	5	in	in	ADP
cana-5400	6	6	wsns	wsns	NOUN
cana-5400	6	7	face	face	NOUN
cana-5400	6	8	significant	significant	ADJ
cana-5400	6	9	challenges	challenge	NOUN
cana-5400	6	10	,	,	PUNCT
cana-5400	6	11	including	include	VERB
cana-5400	6	12	low	low	ADJ
cana-5400	6	13	detection	detection	NOUN
cana-5400	6	14	rates	rate	NOUN
cana-5400	6	15	,	,	PUNCT
cana-5400	6	16	imbalanced	imbalanced	ADJ
cana-5400	6	17	&	&	CCONJ
cana-5400	6	18	complex	complex	ADJ
cana-5400	6	19	higher	high	ADJ
cana-5400	6	20	dimensional	dimensional	ADJ
cana-5400	6	21	datasets	dataset	NOUN
cana-5400	6	22	and	and	CCONJ
cana-5400	6	23	false	false	ADJ
cana-5400	6	24	alarms	alarm	NOUN
cana-5400	6	25	.	.	PUNCT
cana-5400	7	1	to	to	PART
cana-5400	7	2	address	address	VERB
cana-5400	7	3	the	the	DET
cana-5400	7	4	aforementioned	aforementioned	ADJ
cana-5400	7	5	challenges	challenge	NOUN
cana-5400	7	6	,	,	PUNCT
cana-5400	7	7	an	an	DET
cana-5400	7	8	innovative	innovative	ADJ
cana-5400	7	9	intrusion	intrusion	NOUN
cana-5400	7	10	detection	detection	NOUN
cana-5400	7	11	approach	approach	NOUN
cana-5400	7	12	is	be	AUX
cana-5400	7	13	proposed	propose	VERB
cana-5400	7	14	,	,	PUNCT
cana-5400	7	15	which	which	PRON
cana-5400	7	16	integrates	integrate	VERB
cana-5400	7	17	machine	machine	NOUN
cana-5400	7	18	learning	learning	NOUN
cana-5400	7	19	(	(	PUNCT
cana-5400	7	20	ml	ml	NOUN
cana-5400	7	21	)	)	PUNCT
cana-5400	7	22	techniques	technique	NOUN
cana-5400	7	23	with	with	ADP
cana-5400	7	24	the	the	DET
cana-5400	7	25	synthetic	synthetic	ADJ
cana-5400	7	26	minority	minority	NOUN
cana-5400	7	27	oversampling	oversample	VERB
cana-5400	7	28	technique	technique	NOUN
cana-5400	7	29	tomek	tomek	PROPN
cana-5400	7	30	link	link	PROPN
cana-5400	7	31	(	(	PUNCT
cana-5400	7	32	smotetomeklink	smotetomeklink	NOUN
cana-5400	7	33	)	)	PUNCT
cana-5400	7	34	algorithm	algorithm	NOUN
cana-5400	7	35	.	.	PUNCT
cana-5400	8	1	this	this	DET
cana-5400	8	2	hybrid	hybrid	ADJ
cana-5400	8	3	methodology	methodology	NOUN
cana-5400	8	4	aims	aim	VERB
cana-5400	8	5	to	to	PART
cana-5400	8	6	synthesize	synthesize	VERB
cana-5400	8	7	minority	minority	NOUN
cana-5400	8	8	instances	instance	NOUN
cana-5400	8	9	within	within	ADP
cana-5400	8	10	the	the	DET
cana-5400	8	11	dataset	dataset	NOUN
cana-5400	8	12	while	while	SCONJ
cana-5400	8	13	removing	remove	VERB
cana-5400	8	14	tomek	tomek	PROPN
cana-5400	8	15	links	link	NOUN
cana-5400	8	16	,	,	PUNCT
cana-5400	8	17	thereby	thereby	ADV
cana-5400	8	18	creating	create	VERB
cana-5400	8	19	a	a	DET
cana-5400	8	20	balanced	balanced	ADJ
cana-5400	8	21	dataset	dataset	NOUN
cana-5400	8	22	that	that	PRON
cana-5400	8	23	enhances	enhance	VERB
cana-5400	8	24	the	the	DET
cana-5400	8	25	accuracy	accuracy	NOUN
cana-5400	8	26	of	of	ADP
cana-5400	8	27	intrusion	intrusion	NOUN
cana-5400	8	28	detection	detection	NOUN
cana-5400	8	29	systems	system	NOUN
cana-5400	8	30	tailored	tailor	VERB
cana-5400	8	31	for	for	ADP
cana-5400	8	32	wsns	wsns	NOUN
cana-5400	8	33	.	.	PUNCT
cana-5400	9	1	the	the	DET
cana-5400	9	2	application	application	NOUN
cana-5400	9	3	of	of	ADP
cana-5400	9	4	feature	feature	NOUN
cana-5400	9	5	scaling	scale	VERB
cana-5400	9	6	through	through	ADP
cana-5400	9	7	standardization	standardization	NOUN
cana-5400	9	8	is	be	AUX
cana-5400	9	9	another	another	DET
cana-5400	9	10	critical	critical	ADJ
cana-5400	9	11	element	element	NOUN
cana-5400	9	12	of	of	ADP
cana-5400	9	13	the	the	DET
cana-5400	9	14	proposed	propose	VERB
cana-5400	9	15	model	model	NOUN
cana-5400	9	16	.	.	PUNCT
cana-5400	10	1	furthermore	furthermore	ADV
cana-5400	10	2	,	,	PUNCT
cana-5400	10	3	implementing	implement	VERB
cana-5400	10	4	the	the	DET
cana-5400	10	5	smotetomek	smotetomek	NOUN
cana-5400	10	6	resampling	resample	VERB
cana-5400	10	7	technique	technique	NOUN
cana-5400	10	8	is	be	AUX
cana-5400	10	9	essential	essential	ADJ
cana-5400	10	10	for	for	ADP
cana-5400	10	11	counteracting	counteract	VERB
cana-5400	10	12	imbalances	imbalance	NOUN
cana-5400	10	13	in	in	ADP
cana-5400	10	14	wsn	wsn	PROPN
cana-5400	10	15	datasets	dataset	NOUN
cana-5400	10	16	,	,	PUNCT
cana-5400	10	17	which	which	PRON
cana-5400	10	18	addresses	address	VERB
cana-5400	10	19	the	the	DET
cana-5400	10	20	persistent	persistent	ADJ
cana-5400	10	21	issues	issue	NOUN
cana-5400	10	22	of	of	ADP
cana-5400	10	23	overfitting	overfitte	VERB
cana-5400	10	24	and	and	CCONJ
cana-5400	10	25	underfitting	underfitting	NOUN
cana-5400	10	26	often	often	ADV
cana-5400	10	27	observed	observe	VERB
cana-5400	10	28	in	in	ADP
cana-5400	10	29	machine	machine	NOUN
cana-5400	10	30	learning	learning	NOUN
cana-5400	10	31	applications	application	NOUN
cana-5400	10	32	.	.	PUNCT
cana-5400	11	1	a	a	DET
cana-5400	11	2	comprehensive	comprehensive	ADJ
cana-5400	11	3	evaluation	evaluation	NOUN
cana-5400	11	4	of	of	ADP
cana-5400	11	5	the	the	DET
cana-5400	11	6	proposed	propose	VERB
cana-5400	11	7	intrusion	intrusion	NOUN
cana-5400	11	8	detection	detection	NOUN
cana-5400	11	9	model	model	NOUN
cana-5400	11	10	was	be	AUX
cana-5400	11	11	conducted	conduct	VERB
cana-5400	11	12	using	use	VERB
cana-5400	11	13	the	the	DET
cana-5400	11	14	wireless	wireless	ADJ
cana-5400	11	15	sensor	sensor	NOUN
cana-5400	11	16	network	network	NOUN
cana-5400	11	17	dataset	dataset	NOUN
cana-5400	11	18	(	(	PUNCT
cana-5400	11	19	wsn	wsn	NOUN
cana-5400	11	20	-	-	PUNCT
cana-5400	11	21	ds	ds	ADJ
cana-5400	11	22	)	)	PUNCT
cana-5400	11	23	,	,	PUNCT
cana-5400	11	24	which	which	PRON
cana-5400	11	25	comprises	comprise	VERB
cana-5400	11	26	374,661	374,661	NUM
cana-5400	11	27	records	record	NOUN
cana-5400	11	28	.	.	PUNCT
cana-5400	12	1	the	the	DET
cana-5400	12	2	findings	finding	NOUN
cana-5400	12	3	achieved	achieve	VERB
cana-5400	12	4	a	a	DET
cana-5400	12	5	remarkable	remarkable	ADJ
cana-5400	12	6	accuracy	accuracy	NOUN
cana-5400	12	7	rate	rate	NOUN
cana-5400	12	8	of	of	ADP
cana-5400	12	9	99.78	99.78	NUM
cana-5400	12	10	%	%	NOUN
cana-5400	12	11	in	in	ADP
cana-5400	12	12	binary	binary	ADJ
cana-5400	12	13	classification	classification	NOUN
cana-5400	12	14	scenarios	scenario	NOUN
cana-5400	12	15	.	.	PUNCT
cana-5400	13	1	this	this	DET
cana-5400	13	2	high	high	ADJ
cana-5400	13	3	level	level	NOUN
cana-5400	13	4	of	of	ADP
cana-5400	13	5	accuracy	accuracy	NOUN
cana-5400	13	6	demonstrates	demonstrate	VERB
cana-5400	13	7	the	the	DET
cana-5400	13	8	efficacy	efficacy	NOUN
cana-5400	13	9	and	and	CCONJ
cana-5400	13	10	superiority	superiority	NOUN
cana-5400	13	11	of	of	ADP
cana-5400	13	12	the	the	DET
cana-5400	13	13	developed	develop	VERB
cana-5400	13	14	system	system	NOUN
cana-5400	13	15	within	within	ADP
cana-5400	13	16	the	the	DET
cana-5400	13	17	context	context	NOUN
cana-5400	13	18	of	of	ADP
cana-5400	13	19	wsn	wsn	PROPN
cana-5400	13	20	intrusion	intrusion	NOUN
cana-5400	13	21	detection	detection	NOUN
cana-5400	13	22	.	.	PUNCT
cana-5400	14	1	keywords	keyword	NOUN
cana-5400	14	2	:	:	PUNCT
cana-5400	14	3	intrusion	intrusion	NOUN
cana-5400	14	4	detection	detection	NOUN
cana-5400	14	5	,	,	PUNCT
cana-5400	14	6	machine	machine	NOUN
cana-5400	14	7	learning	learning	NOUN
cana-5400	14	8	,	,	PUNCT
cana-5400	14	9	wireless	wireless	ADJ
cana-5400	14	10	sensor	sensor	NOUN
cana-5400	14	11	network	network	NOUN
cana-5400	14	12	,	,	PUNCT
cana-5400	14	13	smote	smite	VERB
cana-5400	14	14	1	1	NUM
cana-5400	14	15	introduction	introduction	NOUN
cana-5400	14	16	wireless	wireless	ADJ
cana-5400	14	17	sensor	sensor	NOUN
cana-5400	14	18	networks	network	NOUN
cana-5400	14	19	(	(	PUNCT
cana-5400	14	20	wsns	wsns	NOUN
cana-5400	14	21	)	)	PUNCT
cana-5400	14	22	are	be	AUX
cana-5400	14	23	indeed	indeed	ADV
cana-5400	14	24	a	a	DET
cana-5400	14	25	transformative	transformative	ADJ
cana-5400	14	26	technology	technology	NOUN
cana-5400	14	27	that	that	PRON
cana-5400	14	28	facilitates	facilitate	VERB
cana-5400	14	29	data	data	NOUN
cana-5400	14	30	collection	collection	NOUN
cana-5400	14	31	,	,	PUNCT
cana-5400	14	32	processing	processing	NOUN
cana-5400	14	33	,	,	PUNCT
cana-5400	14	34	and	and	CCONJ
cana-5400	14	35	transmission	transmission	NOUN
cana-5400	14	36	from	from	ADP
cana-5400	14	37	distributed	distribute	VERB
cana-5400	14	38	sensor	sensor	NOUN
cana-5400	14	39	nodes	node	NOUN
cana-5400	14	40	.	.	PUNCT
cana-5400	15	1	these	these	DET
cana-5400	15	2	nodes	node	NOUN
cana-5400	15	3	,	,	PUNCT
cana-5400	15	4	equipped	equip	VERB
cana-5400	15	5	with	with	ADP
cana-5400	15	6	various	various	ADJ
cana-5400	15	7	sensors	sensor	NOUN
cana-5400	15	8	and	and	CCONJ
cana-5400	15	9	communication	communication	NOUN
cana-5400	15	10	capabilities	capability	NOUN
cana-5400	15	11	,	,	PUNCT
cana-5400	15	12	play	play	VERB
cana-5400	15	13	a	a	DET
cana-5400	15	14	critical	critical	ADJ
cana-5400	15	15	role	role	NOUN
cana-5400	15	16	in	in	ADP
cana-5400	15	17	monitoring	monitoring	NOUN
cana-5400	15	18	and	and	CCONJ
cana-5400	15	19	sensing	sense	VERB
cana-5400	15	20	environmental	environmental	ADJ
cana-5400	15	21	conditions	condition	NOUN
cana-5400	15	22	.	.	PUNCT
cana-5400	16	1	[	[	X
cana-5400	16	2	1	1	NUM
cana-5400	16	3	]	]	PUNCT
cana-5400	16	4	.	.	PUNCT
cana-5400	17	1	wsn	wsn	PROPN
cana-5400	17	2	security	security	NOUN
cana-5400	17	3	is	be	AUX
cana-5400	17	4	of	of	ADP
cana-5400	17	5	utmost	utmost	ADJ
cana-5400	17	6	importance	importance	NOUN
cana-5400	17	7	due	due	ADP
cana-5400	17	8	to	to	ADP
cana-5400	17	9	the	the	DET
cana-5400	17	10	sensitive	sensitive	ADJ
cana-5400	17	11	nature	nature	NOUN
cana-5400	17	12	of	of	ADP
cana-5400	17	13	the	the	DET
cana-5400	17	14	data	datum	NOUN
cana-5400	17	15	transmitted	transmit	VERB
cana-5400	17	16	and	and	CCONJ
cana-5400	17	17	the	the	DET
cana-5400	17	18	potential	potential	ADJ
cana-5400	17	19	vulnerabilities	vulnerability	NOUN
cana-5400	17	20	in	in	ADP
cana-5400	17	21	the	the	DET
cana-5400	17	22	network	network	NOUN
cana-5400	17	23	[	[	X
cana-5400	17	24	2	2	NUM
cana-5400	17	25	]	]	PUNCT
cana-5400	17	26	.	.	PUNCT
cana-5400	18	1	wsns	wsns	PROPN
cana-5400	18	2	face	face	NOUN
cana-5400	18	3	security	security	NOUN
cana-5400	18	4	threats	threat	NOUN
cana-5400	18	5	,	,	PUNCT
cana-5400	18	6	like	like	ADP
cana-5400	18	7	unauthorized	unauthorized	ADJ
cana-5400	18	8	access	access	NOUN
cana-5400	18	9	and	and	CCONJ
cana-5400	18	10	denial	denial	NOUN
cana-5400	18	11	of	of	ADP
cana-5400	18	12	service	service	NOUN
cana-5400	18	13	attacks	attack	NOUN
cana-5400	18	14	[	[	X
cana-5400	18	15	3	3	NUM
cana-5400	18	16	]	]	PUNCT
cana-5400	18	17	.	.	PUNCT
cana-5400	19	1	the	the	DET
cana-5400	19	2	distributed	distribute	VERB
cana-5400	19	3	and	and	CCONJ
cana-5400	19	4	wireless	wireless	ADJ
cana-5400	19	5	nature	nature	NOUN
cana-5400	19	6	of	of	ADP
cana-5400	19	7	wsns	wsns	NOUN
cana-5400	19	8	makes	make	VERB
cana-5400	19	9	them	they	PRON
cana-5400	19	10	more	more	ADV
cana-5400	19	11	susceptible	susceptible	ADJ
cana-5400	19	12	to	to	ADP
cana-5400	19	13	these	these	DET
cana-5400	19	14	threats	threat	NOUN
cana-5400	19	15	.	.	PUNCT
cana-5400	20	1	ensuring	ensure	VERB
cana-5400	20	2	the	the	DET
cana-5400	20	3	confidentiality	confidentiality	NOUN
cana-5400	20	4	,	,	PUNCT
cana-5400	20	5	integrity	integrity	NOUN
cana-5400	20	6	,	,	PUNCT
cana-5400	20	7	and	and	CCONJ
cana-5400	20	8	availability	availability	NOUN
cana-5400	20	9	of	of	ADP
cana-5400	20	10	data	datum	NOUN
cana-5400	20	11	within	within	ADP
cana-5400	20	12	wsns	wsns	NOUN
cana-5400	20	13	is	be	AUX
cana-5400	20	14	crucial	crucial	ADJ
cana-5400	20	15	to	to	ADP
cana-5400	20	16	maintaining	maintain	VERB
cana-5400	20	17	the	the	DET
cana-5400	20	18	trust	trust	NOUN
cana-5400	20	19	and	and	CCONJ
cana-5400	20	20	reliability	reliability	NOUN
cana-5400	20	21	of	of	ADP
cana-5400	20	22	these	these	DET
cana-5400	20	23	networks	network	NOUN
cana-5400	20	24	[	[	X
cana-5400	20	25	4	4	NUM
cana-5400	20	26	]	]	PUNCT
cana-5400	20	27	.	.	PUNCT
cana-5400	21	1	intrusion	intrusion	NOUN
cana-5400	21	2	detection	detection	NOUN
cana-5400	21	3	is	be	AUX
cana-5400	21	4	a	a	DET
cana-5400	21	5	critical	critical	ADJ
cana-5400	21	6	component	component	NOUN
cana-5400	21	7	of	of	ADP
cana-5400	21	8	wsn	wsn	PROPN
cana-5400	21	9	security	security	NOUN
cana-5400	21	10	,	,	PUNCT
cana-5400	21	11	aimed	aim	VERB
cana-5400	21	12	at	at	ADP
cana-5400	21	13	detecting	detect	VERB
cana-5400	21	14	and	and	CCONJ
cana-5400	21	15	mitigating	mitigate	VERB
cana-5400	21	16	malicious	malicious	ADJ
cana-5400	21	17	activities	activity	NOUN
cana-5400	21	18	within	within	ADP
cana-5400	21	19	the	the	DET
cana-5400	21	20	communications	communication	NOUN
cana-5400	21	21	on	on	ADP
cana-5400	21	22	applied	apply	VERB
cana-5400	21	23	nonlinear	nonlinear	ADJ
cana-5400	21	24	analysis	analysis	NOUN
cana-5400	21	25	issn	issn	NOUN
cana-5400	21	26	:	:	PUNCT
cana-5400	21	27	1074	1074	NUM
cana-5400	21	28	-	-	PUNCT
cana-5400	21	29	133x	133x	NUM
cana-5400	21	30	vol	vol	NOUN
cana-5400	21	31	32	32	NUM
cana-5400	21	32	no	no	NOUN
cana-5400	21	33	.	.	PUNCT
cana-5400	22	1	icmasd	icmasd	NOUN
cana-5400	22	2	(	(	PUNCT
cana-5400	22	3	2025	2025	NUM
cana-5400	22	4	)	)	PUNCT
cana-5400	22	5	1843	1843	NUM
cana-5400	22	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	22	7	network	network	NOUN
cana-5400	22	8	[	[	X
cana-5400	22	9	5	5	NUM
cana-5400	22	10	]	]	PUNCT
cana-5400	22	11	.	.	PUNCT
cana-5400	23	1	rule	rule	NOUN
cana-5400	23	2	-	-	PUNCT
cana-5400	23	3	based	base	VERB
cana-5400	23	4	intrusion	intrusion	NOUN
cana-5400	23	5	detection	detection	NOUN
cana-5400	23	6	systems	system	NOUN
cana-5400	23	7	(	(	PUNCT
cana-5400	23	8	ids	id	NOUN
cana-5400	23	9	)	)	PUNCT
cana-5400	23	10	are	be	AUX
cana-5400	23	11	increasingly	increasingly	ADV
cana-5400	23	12	viewed	view	VERB
cana-5400	23	13	as	as	ADP
cana-5400	23	14	inadequate	inadequate	ADJ
cana-5400	23	15	for	for	ADP
cana-5400	23	16	the	the	DET
cana-5400	23	17	demands	demand	NOUN
cana-5400	23	18	of	of	ADP
cana-5400	23	19	modern	modern	ADJ
cana-5400	23	20	cybersecurity	cybersecurity	NOUN
cana-5400	23	21	due	due	ADP
cana-5400	23	22	to	to	ADP
cana-5400	23	23	their	their	PRON
cana-5400	23	24	reliance	reliance	NOUN
cana-5400	23	25	on	on	ADP
cana-5400	23	26	predefined	predefine	VERB
cana-5400	23	27	signatures	signature	NOUN
cana-5400	23	28	and	and	CCONJ
cana-5400	23	29	static	static	ADJ
cana-5400	23	30	thresholds	threshold	NOUN
cana-5400	23	31	.	.	PUNCT
cana-5400	24	1	this	this	DET
cana-5400	24	2	reliance	reliance	NOUN
cana-5400	24	3	limits	limit	VERB
cana-5400	24	4	their	their	PRON
cana-5400	24	5	capability	capability	NOUN
cana-5400	24	6	in	in	ADP
cana-5400	24	7	identifying	identify	VERB
cana-5400	24	8	sophisticated	sophisticated	ADJ
cana-5400	24	9	or	or	CCONJ
cana-5400	24	10	novel	novel	ADJ
cana-5400	24	11	attacks	attack	NOUN
cana-5400	24	12	,	,	PUNCT
cana-5400	24	13	particularly	particularly	ADV
cana-5400	24	14	those	those	PRON
cana-5400	24	15	that	that	PRON
cana-5400	24	16	evolve	evolve	VERB
cana-5400	24	17	rapidly	rapidly	ADV
cana-5400	24	18	.	.	PUNCT
cana-5400	25	1	[	[	X
cana-5400	25	2	6	6	NUM
cana-5400	25	3	]	]	PUNCT
cana-5400	25	4	.	.	PUNCT
cana-5400	26	1	machine	machine	NOUN
cana-5400	26	2	learning	learning	NOUN
cana-5400	26	3	(	(	PUNCT
cana-5400	26	4	ml	ml	NOUN
cana-5400	26	5	)	)	PUNCT
cana-5400	26	6	techniques	technique	NOUN
cana-5400	26	7	have	have	AUX
cana-5400	26	8	emerged	emerge	VERB
cana-5400	26	9	as	as	ADP
cana-5400	26	10	a	a	DET
cana-5400	26	11	promising	promising	ADJ
cana-5400	26	12	approach	approach	NOUN
cana-5400	26	13	for	for	ADP
cana-5400	26	14	wsn	wsn	PROPN
cana-5400	26	15	intrusion	intrusion	NOUN
cana-5400	26	16	detection	detection	NOUN
cana-5400	26	17	[	[	X
cana-5400	26	18	1	1	NUM
cana-5400	26	19	]	]	PUNCT
cana-5400	26	20	.	.	PUNCT
cana-5400	27	1	ml	ml	PROPN
cana-5400	27	2	algorithms	algorithms	PROPN
cana-5400	27	3	,	,	PUNCT
cana-5400	27	4	such	such	ADJ
cana-5400	27	5	as	as	ADP
cana-5400	27	6	decision	decision	NOUN
cana-5400	27	7	trees	tree	NOUN
cana-5400	27	8	,	,	PUNCT
cana-5400	27	9	random	random	ADJ
cana-5400	27	10	forests	forest	NOUN
cana-5400	27	11	and	and	CCONJ
cana-5400	27	12	gradient	gradient	ADJ
cana-5400	27	13	boosting	boost	VERB
cana-5400	27	14	methods	method	NOUN
cana-5400	27	15	,	,	PUNCT
cana-5400	27	16	can	can	AUX
cana-5400	27	17	extract	extract	VERB
cana-5400	27	18	valuable	valuable	ADJ
cana-5400	27	19	insights	insight	NOUN
cana-5400	27	20	from	from	ADP
cana-5400	27	21	complex	complex	ADJ
cana-5400	27	22	wsn	wsn	ADJ
cana-5400	27	23	datasets	dataset	NOUN
cana-5400	27	24	,	,	PUNCT
cana-5400	27	25	improving	improve	VERB
cana-5400	27	26	the	the	DET
cana-5400	27	27	accuracy	accuracy	NOUN
cana-5400	27	28	and	and	CCONJ
cana-5400	27	29	effectiveness	effectiveness	NOUN
cana-5400	27	30	of	of	ADP
cana-5400	27	31	intrusion	intrusion	NOUN
cana-5400	27	32	detection	detection	NOUN
cana-5400	27	33	mechanisms	mechanism	NOUN
cana-5400	27	34	[	[	X
cana-5400	27	35	1	1	NUM
cana-5400	27	36	,	,	PUNCT
cana-5400	27	37	7	7	NUM
cana-5400	27	38	]	]	PUNCT
cana-5400	27	39	.	.	PUNCT
cana-5400	28	1	existing	exist	VERB
cana-5400	28	2	works	work	NOUN
cana-5400	28	3	in	in	ADP
cana-5400	28	4	wsn	wsn	PROPN
cana-5400	28	5	intrusion	intrusion	NOUN
cana-5400	28	6	detection	detection	NOUN
cana-5400	28	7	face	face	VERB
cana-5400	28	8	many	many	ADJ
cana-5400	28	9	challenges	challenge	NOUN
cana-5400	28	10	.	.	PUNCT
cana-5400	29	1	limited	limited	ADJ
cana-5400	29	2	scalability	scalability	NOUN
cana-5400	29	3	is	be	AUX
cana-5400	29	4	a	a	DET
cana-5400	29	5	significant	significant	ADJ
cana-5400	29	6	concern	concern	NOUN
cana-5400	29	7	,	,	PUNCT
cana-5400	29	8	as	as	SCONJ
cana-5400	29	9	wsns	wsns	NOUN
cana-5400	29	10	often	often	ADV
cana-5400	29	11	involve	involve	VERB
cana-5400	29	12	a	a	DET
cana-5400	29	13	large	large	ADJ
cana-5400	29	14	number	number	NOUN
cana-5400	29	15	of	of	ADP
cana-5400	29	16	sensor	sensor	NOUN
cana-5400	29	17	nodes	node	NOUN
cana-5400	29	18	,	,	PUNCT
cana-5400	29	19	leading	lead	VERB
cana-5400	29	20	to	to	ADP
cana-5400	29	21	increased	increase	VERB
cana-5400	29	22	computational	computational	ADJ
cana-5400	29	23	complexity	complexity	NOUN
cana-5400	30	1	[	[	X
cana-5400	30	2	8	8	NUM
cana-5400	30	3	]	]	PUNCT
cana-5400	30	4	.	.	PUNCT
cana-5400	31	1	high	high	ADJ
cana-5400	31	2	false	false	ADJ
cana-5400	31	3	positive	positive	ADJ
cana-5400	31	4	rates	rate	NOUN
cana-5400	31	5	,	,	PUNCT
cana-5400	31	6	imbalanced	imbalanced	ADJ
cana-5400	31	7	datasets	dataset	NOUN
cana-5400	31	8	and	and	CCONJ
cana-5400	31	9	inadequate	inadequate	ADJ
cana-5400	31	10	adaptability	adaptability	NOUN
cana-5400	31	11	to	to	ADP
cana-5400	31	12	evolving	evolve	VERB
cana-5400	31	13	attack	attack	NOUN
cana-5400	31	14	techniques	technique	NOUN
cana-5400	31	15	are	be	AUX
cana-5400	31	16	also	also	ADV
cana-5400	31	17	challenges	challenge	NOUN
cana-5400	31	18	that	that	PRON
cana-5400	31	19	need	need	VERB
cana-5400	31	20	to	to	PART
cana-5400	31	21	be	be	AUX
cana-5400	31	22	addressed	address	VERB
cana-5400	32	1	[	[	PUNCT
cana-5400	32	2	9–11	9–11	NOUN
cana-5400	32	3	]	]	PUNCT
cana-5400	32	4	.	.	PUNCT
cana-5400	33	1	our	our	PRON
cana-5400	33	2	proposed	propose	VERB
cana-5400	33	3	model	model	NOUN
cana-5400	33	4	,	,	PUNCT
cana-5400	33	5	combines	combine	VERB
cana-5400	33	6	machine	machine	NOUN
cana-5400	33	7	learning	learning	NOUN
cana-5400	33	8	(	(	PUNCT
cana-5400	33	9	ml	ml	NOUN
cana-5400	33	10	)	)	PUNCT
cana-5400	33	11	techniques	technique	NOUN
cana-5400	33	12	with	with	ADP
cana-5400	33	13	the	the	DET
cana-5400	33	14	synthetic	synthetic	ADJ
cana-5400	33	15	minority	minority	NOUN
cana-5400	33	16	oversampling	oversample	VERB
cana-5400	33	17	technique	technique	NOUN
cana-5400	33	18	tomek	tomek	PROPN
cana-5400	33	19	(	(	PUNCT
cana-5400	33	20	smote	smote	PROPN
cana-5400	33	21	-	-	PUNCT
cana-5400	33	22	tomek	tomek	PROPN
cana-5400	33	23	)	)	PUNCT
cana-5400	33	24	,	,	PUNCT
cana-5400	33	25	offers	offer	VERB
cana-5400	33	26	a	a	DET
cana-5400	33	27	significant	significant	ADJ
cana-5400	33	28	advancement	advancement	NOUN
cana-5400	33	29	in	in	ADP
cana-5400	33	30	intrusion	intrusion	NOUN
cana-5400	33	31	detection	detection	NOUN
cana-5400	33	32	for	for	ADP
cana-5400	33	33	wsns	wsns	NOUN
cana-5400	33	34	(	(	PUNCT
cana-5400	33	35	wsns	wsns	NOUN
cana-5400	33	36	)	)	PUNCT
cana-5400	34	1	[	[	X
cana-5400	34	2	9	9	NUM
cana-5400	34	3	,	,	PUNCT
cana-5400	34	4	12	12	NUM
cana-5400	34	5	,	,	PUNCT
cana-5400	34	6	13	13	NUM
cana-5400	34	7	]	]	PUNCT
cana-5400	34	8	.	.	PUNCT
cana-5400	35	1	this	this	DET
cana-5400	35	2	model	model	NOUN
cana-5400	35	3	holds	hold	VERB
cana-5400	35	4	great	great	ADJ
cana-5400	35	5	importance	importance	NOUN
cana-5400	35	6	in	in	ADP
cana-5400	35	7	addressing	address	VERB
cana-5400	35	8	the	the	DET
cana-5400	35	9	limitations	limitation	NOUN
cana-5400	35	10	of	of	ADP
cana-5400	35	11	existing	exist	VERB
cana-5400	35	12	approaches	approach	NOUN
cana-5400	35	13	and	and	CCONJ
cana-5400	35	14	providing	provide	VERB
cana-5400	35	15	an	an	DET
cana-5400	35	16	optimal	optimal	ADJ
cana-5400	35	17	solution	solution	NOUN
cana-5400	35	18	for	for	ADP
cana-5400	35	19	intrusion	intrusion	NOUN
cana-5400	35	20	detection	detection	NOUN
cana-5400	35	21	in	in	ADP
cana-5400	35	22	wsns	wsns	PROPN
cana-5400	35	23	.	.	PUNCT
cana-5400	36	1	the	the	DET
cana-5400	36	2	primary	primary	ADJ
cana-5400	36	3	motivation	motivation	NOUN
cana-5400	36	4	behind	behind	ADP
cana-5400	36	5	our	our	PRON
cana-5400	36	6	work	work	NOUN
cana-5400	36	7	is	be	AUX
cana-5400	36	8	to	to	PART
cana-5400	36	9	deal	deal	VERB
cana-5400	36	10	with	with	ADP
cana-5400	36	11	imbalanced	imbalanced	ADJ
cana-5400	36	12	dataset	dataset	NOUN
cana-5400	36	13	in	in	ADP
cana-5400	36	14	wsns	wsns	NOUN
cana-5400	36	15	.	.	PUNCT
cana-5400	37	1	this	this	DET
cana-5400	37	2	imbalance	imbalance	NOUN
cana-5400	37	3	can	can	AUX
cana-5400	37	4	compromise	compromise	VERB
cana-5400	37	5	the	the	DET
cana-5400	37	6	accuracy	accuracy	NOUN
cana-5400	37	7	of	of	ADP
cana-5400	37	8	detection	detection	NOUN
cana-5400	37	9	results	result	NOUN
cana-5400	37	10	.	.	PUNCT
cana-5400	38	1	our	our	PRON
cana-5400	38	2	model	model	NOUN
cana-5400	38	3	aims	aim	VERB
cana-5400	38	4	to	to	PART
cana-5400	38	5	overcome	overcome	VERB
cana-5400	38	6	this	this	DET
cana-5400	38	7	challenge	challenge	NOUN
cana-5400	38	8	by	by	ADP
cana-5400	38	9	employing	employ	VERB
cana-5400	38	10	the	the	DET
cana-5400	38	11	smote	smote	ADJ
cana-5400	38	12	-	-	PUNCT
cana-5400	38	13	tomek	tomek	PROPN
cana-5400	38	14	technique	technique	NOUN
cana-5400	38	15	,	,	PUNCT
cana-5400	38	16	synthesizing	synthesize	VERB
cana-5400	38	17	minority	minority	NOUN
cana-5400	38	18	instances	instance	NOUN
cana-5400	38	19	and	and	CCONJ
cana-5400	38	20	removing	remove	VERB
cana-5400	38	21	tomek	tomek	PROPN
cana-5400	38	22	links	link	NOUN
cana-5400	38	23	to	to	PART
cana-5400	38	24	achieve	achieve	VERB
cana-5400	38	25	a	a	DET
cana-5400	38	26	balanced	balanced	ADJ
cana-5400	38	27	dataset	dataset	NOUN
cana-5400	38	28	[	[	X
cana-5400	38	29	14	14	NUM
cana-5400	38	30	]	]	PUNCT
cana-5400	38	31	.	.	PUNCT
cana-5400	39	1	additionally	additionally	ADV
cana-5400	39	2	,	,	PUNCT
cana-5400	39	3	our	our	PRON
cana-5400	39	4	model	model	NOUN
cana-5400	39	5	uses	use	VERB
cana-5400	39	6	the	the	DET
cana-5400	39	7	power	power	NOUN
cana-5400	39	8	of	of	ADP
cana-5400	39	9	various	various	ADJ
cana-5400	39	10	ml	ml	NOUN
cana-5400	39	11	algorithms	algorithm	NOUN
cana-5400	39	12	,	,	PUNCT
cana-5400	39	13	including	include	VERB
cana-5400	39	14	decision	decision	NOUN
cana-5400	39	15	trees	tree	NOUN
cana-5400	39	16	(	(	PUNCT
cana-5400	39	17	dt	dt	PROPN
cana-5400	39	18	)	)	PUNCT
cana-5400	39	19	,	,	PUNCT
cana-5400	39	20	random	random	ADJ
cana-5400	39	21	forests	forest	NOUN
cana-5400	39	22	(	(	PUNCT
cana-5400	39	23	rf	rf	NOUN
cana-5400	39	24	)	)	PUNCT
cana-5400	39	25	and	and	CCONJ
cana-5400	39	26	k	k	ADV
cana-5400	39	27	-	-	PUNCT
cana-5400	39	28	nearest	near	ADJ
cana-5400	39	29	neighbor	neighbor	NOUN
cana-5400	39	30	(	(	PUNCT
cana-5400	39	31	knn	knn	PROPN
cana-5400	39	32	)	)	PUNCT
cana-5400	39	33	.	.	PUNCT
cana-5400	40	1	these	these	DET
cana-5400	40	2	algorithms	algorithm	NOUN
cana-5400	40	3	enable	enable	VERB
cana-5400	40	4	the	the	DET
cana-5400	40	5	development	development	NOUN
cana-5400	40	6	of	of	ADP
cana-5400	40	7	a	a	DET
cana-5400	40	8	robust	robust	ADJ
cana-5400	40	9	intrusion	intrusion	NOUN
cana-5400	40	10	detection	detection	NOUN
cana-5400	40	11	system	system	NOUN
cana-5400	40	12	capable	capable	ADJ
cana-5400	40	13	of	of	ADP
cana-5400	40	14	learning	learn	VERB
cana-5400	40	15	complex	complex	ADJ
cana-5400	40	16	patterns	pattern	NOUN
cana-5400	40	17	and	and	CCONJ
cana-5400	40	18	anomalies	anomaly	NOUN
cana-5400	40	19	from	from	ADP
cana-5400	40	20	wsn	wsn	PROPN
cana-5400	40	21	data	datum	NOUN
cana-5400	40	22	.	.	PUNCT
cana-5400	41	1	the	the	DET
cana-5400	41	2	remaining	remain	VERB
cana-5400	41	3	sections	section	NOUN
cana-5400	41	4	of	of	ADP
cana-5400	41	5	this	this	DET
cana-5400	41	6	paper	paper	NOUN
cana-5400	41	7	are	be	AUX
cana-5400	41	8	structured	structure	VERB
cana-5400	41	9	as	as	SCONJ
cana-5400	41	10	follows	follow	VERB
cana-5400	41	11	:	:	PUNCT
cana-5400	41	12	in	in	ADP
cana-5400	41	13	section	section	NOUN
cana-5400	41	14	2	2	NUM
cana-5400	41	15	,	,	PUNCT
cana-5400	41	16	we	we	PRON
cana-5400	41	17	delve	delve	VERB
cana-5400	41	18	into	into	ADP
cana-5400	41	19	a	a	DET
cana-5400	41	20	comprehensive	comprehensive	ADJ
cana-5400	41	21	review	review	NOUN
cana-5400	41	22	of	of	ADP
cana-5400	41	23	the	the	DET
cana-5400	41	24	existing	exist	VERB
cana-5400	41	25	literature	literature	NOUN
cana-5400	41	26	,	,	PUNCT
cana-5400	41	27	with	with	ADP
cana-5400	41	28	a	a	DET
cana-5400	41	29	specific	specific	ADJ
cana-5400	41	30	focus	focus	NOUN
cana-5400	41	31	on	on	ADP
cana-5400	41	32	intrusion	intrusion	NOUN
cana-5400	41	33	detection	detection	NOUN
cana-5400	41	34	on	on	ADP
cana-5400	41	35	wsns	wsns	PROPN
cana-5400	41	36	.	.	PUNCT
cana-5400	42	1	section	section	NOUN
cana-5400	42	2	3	3	NUM
cana-5400	42	3	discusses	discuss	VERB
cana-5400	42	4	about	about	ADP
cana-5400	42	5	research	research	NOUN
cana-5400	42	6	methodology	methodology	NOUN
cana-5400	42	7	,	,	PUNCT
cana-5400	42	8	including	include	VERB
cana-5400	42	9	an	an	DET
cana-5400	42	10	extensive	extensive	ADJ
cana-5400	42	11	description	description	NOUN
cana-5400	42	12	of	of	ADP
cana-5400	42	13	the	the	DET
cana-5400	42	14	dataset	dataset	NOUN
cana-5400	42	15	employed	employ	VERB
cana-5400	42	16	.	.	PUNCT
cana-5400	43	1	the	the	DET
cana-5400	43	2	experimental	experimental	ADJ
cana-5400	43	3	setup	setup	NOUN
cana-5400	43	4	and	and	CCONJ
cana-5400	43	5	performance	performance	NOUN
cana-5400	43	6	evaluation	evaluation	NOUN
cana-5400	43	7	are	be	AUX
cana-5400	43	8	elaborated	elaborate	VERB
cana-5400	43	9	in	in	ADP
cana-5400	43	10	section	section	NOUN
cana-5400	43	11	4	4	NUM
cana-5400	43	12	.	.	PUNCT
cana-5400	44	1	finally	finally	ADV
cana-5400	44	2	,	,	PUNCT
cana-5400	44	3	section	section	NOUN
cana-5400	44	4	5	5	NUM
cana-5400	44	5	encapsulates	encapsulate	VERB
cana-5400	44	6	the	the	DET
cana-5400	44	7	conclusion	conclusion	NOUN
cana-5400	44	8	and	and	CCONJ
cana-5400	44	9	further	further	ADJ
cana-5400	44	10	enhancements	enhancement	NOUN
cana-5400	44	11	for	for	ADP
cana-5400	44	12	future	future	ADJ
cana-5400	44	13	research	research	NOUN
cana-5400	44	14	.	.	PUNCT
cana-5400	45	1	2	2	NUM
cana-5400	45	2	related	relate	VERB
cana-5400	45	3	works	work	NOUN
cana-5400	45	4	in	in	ADP
cana-5400	45	5	the	the	DET
cana-5400	45	6	work	work	NOUN
cana-5400	45	7	done	do	VERB
cana-5400	45	8	by	by	ADP
cana-5400	45	9	[	[	X
cana-5400	45	10	9	9	NUM
cana-5400	45	11	]	]	PUNCT
cana-5400	45	12	introduced	introduce	VERB
cana-5400	45	13	an	an	DET
cana-5400	45	14	approach	approach	NOUN
cana-5400	45	15	that	that	PRON
cana-5400	45	16	employs	employ	VERB
cana-5400	45	17	the	the	DET
cana-5400	45	18	synthetic	synthetic	ADJ
cana-5400	45	19	minority	minority	NOUN
cana-5400	45	20	oversampling	oversample	VERB
cana-5400	45	21	technique	technique	NOUN
cana-5400	45	22	(	(	PUNCT
cana-5400	45	23	smote	smote	NOUN
cana-5400	45	24	)	)	PUNCT
cana-5400	45	25	to	to	PART
cana-5400	45	26	address	address	VERB
cana-5400	45	27	dataset	dataset	ADJ
cana-5400	45	28	imbalance	imbalance	NOUN
cana-5400	45	29	,	,	PUNCT
cana-5400	45	30	followed	follow	VERB
cana-5400	45	31	by	by	ADP
cana-5400	45	32	training	train	VERB
cana-5400	45	33	a	a	DET
cana-5400	45	34	classifier	classifier	NOUN
cana-5400	45	35	using	use	VERB
cana-5400	45	36	the	the	DET
cana-5400	45	37	random	random	ADJ
cana-5400	45	38	forest	forest	NOUN
cana-5400	45	39	algorithm	algorithm	NOUN
cana-5400	45	40	to	to	PART
cana-5400	45	41	detect	detect	VERB
cana-5400	45	42	the	the	DET
cana-5400	45	43	intrusions	intrusion	NOUN
cana-5400	45	44	.	.	PUNCT
cana-5400	46	1	simulations	simulation	NOUN
cana-5400	46	2	were	be	AUX
cana-5400	46	3	performed	perform	VERB
cana-5400	46	4	on	on	ADP
cana-5400	46	5	a	a	DET
cana-5400	46	6	standard	standard	ADJ
cana-5400	46	7	intrusion	intrusion	NOUN
cana-5400	46	8	dataset	dataset	NOUN
cana-5400	46	9	,	,	PUNCT
cana-5400	46	10	demonstrating	demonstrate	VERB
cana-5400	46	11	that	that	SCONJ
cana-5400	46	12	the	the	DET
cana-5400	46	13	rf	rf	NOUN
cana-5400	46	14	achieved	achieve	VERB
cana-5400	46	15	an	an	DET
cana-5400	46	16	accuracy	accuracy	NOUN
cana-5400	46	17	of	of	ADP
cana-5400	46	18	92.39	92.39	NUM
cana-5400	46	19	%	%	NOUN
cana-5400	46	20	,	,	PUNCT
cana-5400	46	21	surpassing	surpass	VERB
cana-5400	46	22	other	other	ADJ
cana-5400	46	23	algorithms	algorithm	NOUN
cana-5400	46	24	in	in	ADP
cana-5400	46	25	comparison	comparison	NOUN
cana-5400	46	26	.	.	PUNCT
cana-5400	47	1	furthermore	furthermore	ADV
cana-5400	47	2	,	,	PUNCT
cana-5400	47	3	by	by	ADP
cana-5400	47	4	applying	apply	VERB
cana-5400	47	5	smote	smote	NOUN
cana-5400	47	6	to	to	ADP
cana-5400	47	7	oversample	oversample	NOUN
cana-5400	47	8	the	the	DET
cana-5400	47	9	minority	minority	NOUN
cana-5400	47	10	samples	sample	NOUN
cana-5400	47	11	,	,	PUNCT
cana-5400	47	12	the	the	DET
cana-5400	47	13	accuracy	accuracy	NOUN
cana-5400	47	14	of	of	ADP
cana-5400	47	15	the	the	DET
cana-5400	47	16	rf	rf	NOUN
cana-5400	47	17	classifier	classifier	NOUN
cana-5400	47	18	improved	improve	VERB
cana-5400	47	19	to	to	ADP
cana-5400	47	20	92.57	92.57	NUM
cana-5400	47	21	%	%	NOUN
cana-5400	47	22	.	.	PUNCT
cana-5400	48	1	this	this	DET
cana-5400	48	2	enhancement	enhancement	NOUN
cana-5400	48	3	highlights	highlight	VERB
cana-5400	48	4	the	the	DET
cana-5400	48	5	effectiveness	effectiveness	NOUN
cana-5400	48	6	of	of	ADP
cana-5400	48	7	smote	smote	NOUN
cana-5400	48	8	in	in	ADP
cana-5400	48	9	mitigating	mitigate	VERB
cana-5400	48	10	the	the	DET
cana-5400	48	11	adverse	adverse	ADJ
cana-5400	48	12	effects	effect	NOUN
cana-5400	48	13	of	of	ADP
cana-5400	48	14	class	class	NOUN
cana-5400	48	15	imbalance	imbalance	NOUN
cana-5400	48	16	,	,	PUNCT
cana-5400	48	17	enabling	enable	VERB
cana-5400	48	18	the	the	DET
cana-5400	48	19	model	model	NOUN
cana-5400	48	20	to	to	PART
cana-5400	48	21	better	well	ADV
cana-5400	48	22	recognize	recognize	VERB
cana-5400	48	23	and	and	CCONJ
cana-5400	48	24	classify	classify	VERB
cana-5400	48	25	minority	minority	NOUN
cana-5400	48	26	samples	sample	NOUN
cana-5400	48	27	within	within	ADP
cana-5400	48	28	the	the	DET
cana-5400	48	29	dataset	dataset	NOUN
cana-5400	48	30	.	.	PUNCT
cana-5400	49	1	the	the	DET
cana-5400	49	2	work	work	NOUN
cana-5400	49	3	proposed	propose	VERB
cana-5400	49	4	in	in	ADP
cana-5400	49	5	[	[	X
cana-5400	49	6	10	10	NUM
cana-5400	49	7	]	]	PUNCT
cana-5400	49	8	employed	employ	VERB
cana-5400	49	9	intrusion	intrusion	NOUN
cana-5400	49	10	detection	detection	NOUN
cana-5400	49	11	model	model	NOUN
cana-5400	49	12	tailored	tailor	VERB
cana-5400	49	13	to	to	ADP
cana-5400	49	14	wsns	wsns	NOUN
cana-5400	49	15	characteristics	characteristic	NOUN
cana-5400	49	16	,	,	PUNCT
cana-5400	49	17	using	use	VERB
cana-5400	49	18	information	information	NOUN
cana-5400	49	19	gain	gain	NOUN
cana-5400	49	20	ratio	ratio	NOUN
cana-5400	49	21	(	(	PUNCT
cana-5400	49	22	igr	igr	PROPN
cana-5400	49	23	)	)	PUNCT
cana-5400	49	24	and	and	CCONJ
cana-5400	49	25	the	the	DET
cana-5400	49	26	online	online	ADJ
cana-5400	49	27	passive	passive	ADJ
cana-5400	49	28	aggressive	aggressive	ADJ
cana-5400	49	29	(	(	PUNCT
cana-5400	49	30	pa	pa	NOUN
cana-5400	49	31	)	)	PUNCT
cana-5400	49	32	classifier	classifier	NOUN
cana-5400	49	33	.	.	PUNCT
cana-5400	50	1	experiments	experiment	NOUN
cana-5400	50	2	on	on	ADP
cana-5400	50	3	a	a	DET
cana-5400	50	4	wsn	wsn	ADJ
cana-5400	50	5	-	-	ADJ
cana-5400	50	6	ds	ds	ADJ
cana-5400	50	7	dataset	dataset	NOUN
cana-5400	50	8	resulted	result	VERB
cana-5400	50	9	in	in	ADP
cana-5400	50	10	the	the	DET
cana-5400	50	11	proposed	propose	VERB
cana-5400	50	12	model	model	NOUN
cana-5400	50	13	achieving	achieve	VERB
cana-5400	50	14	a	a	DET
cana-5400	50	15	96	96	NUM
cana-5400	50	16	%	%	NOUN
cana-5400	50	17	detection	detection	NOUN
cana-5400	50	18	rate	rate	NOUN
cana-5400	50	19	for	for	ADP
cana-5400	50	20	normal	normal	ADJ
cana-5400	50	21	behavior	behavior	NOUN
cana-5400	50	22	or	or	CCONJ
cana-5400	50	23	attacks	attack	NOUN
cana-5400	50	24	.	.	PUNCT
cana-5400	51	1	detection	detection	NOUN
cana-5400	51	2	accuracies	accuracy	NOUN
cana-5400	51	3	were	be	AUX
cana-5400	51	4	86	86	NUM
cana-5400	51	5	%	%	NOUN
cana-5400	51	6	for	for	ADP
cana-5400	51	7	scheduling	scheduling	NOUN
cana-5400	51	8	,	,	PUNCT
cana-5400	51	9	68	68	NUM
cana-5400	51	10	%	%	NOUN
cana-5400	51	11	for	for	ADP
cana-5400	51	12	grayhole	grayhole	NOUN
cana-5400	51	13	,	,	PUNCT
cana-5400	51	14	63	63	NUM
cana-5400	51	15	%	%	NOUN
cana-5400	51	16	for	for	ADP
cana-5400	51	17	flooding	flooding	NOUN
cana-5400	51	18	,	,	PUNCT
cana-5400	51	19	and	and	CCONJ
cana-5400	51	20	46	46	NUM
cana-5400	51	21	%	%	NOUN
cana-5400	51	22	for	for	ADP
cana-5400	51	23	blackhole	blackhole	NOUN
cana-5400	51	24	attacks	attack	NOUN
cana-5400	51	25	,	,	PUNCT
cana-5400	51	26	with	with	ADP
cana-5400	51	27	99	99	NUM
cana-5400	51	28	%	%	NOUN
cana-5400	51	29	accuracy	accuracy	NOUN
cana-5400	51	30	for	for	ADP
cana-5400	51	31	normal	normal	ADJ
cana-5400	51	32	traffic	traffic	NOUN
cana-5400	51	33	.	.	PUNCT
cana-5400	52	1	communications	communication	NOUN
cana-5400	52	2	on	on	ADP
cana-5400	52	3	applied	apply	VERB
cana-5400	52	4	nonlinear	nonlinear	ADJ
cana-5400	52	5	analysis	analysis	NOUN
cana-5400	52	6	issn	issn	NOUN
cana-5400	52	7	:	:	PUNCT
cana-5400	52	8	1074	1074	NUM
cana-5400	52	9	-	-	PUNCT
cana-5400	52	10	133x	133x	NUM
cana-5400	52	11	vol	vol	NOUN
cana-5400	52	12	32	32	NUM
cana-5400	52	13	no	no	NOUN
cana-5400	52	14	.	.	PUNCT
cana-5400	53	1	icmasd	icmasd	NOUN
cana-5400	53	2	(	(	PUNCT
cana-5400	53	3	2025	2025	NUM
cana-5400	53	4	)	)	PUNCT
cana-5400	53	5	1844	1844	NUM
cana-5400	53	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	54	1	in	in	ADP
cana-5400	54	2	[	[	X
cana-5400	54	3	15	15	NUM
cana-5400	54	4	]	]	PUNCT
cana-5400	54	5	,	,	PUNCT
cana-5400	54	6	presented	present	VERB
cana-5400	54	7	a	a	DET
cana-5400	54	8	data	data	NOUN
cana-5400	54	9	mining	mining	NOUN
cana-5400	54	10	approach	approach	NOUN
cana-5400	54	11	to	to	PART
cana-5400	54	12	detect	detect	VERB
cana-5400	54	13	various	various	ADJ
cana-5400	54	14	types	type	NOUN
cana-5400	54	15	of	of	ADP
cana-5400	54	16	dos	do	NOUN
cana-5400	54	17	attacks	attack	NOUN
cana-5400	54	18	,	,	PUNCT
cana-5400	54	19	where	where	SCONJ
cana-5400	54	20	they	they	PRON
cana-5400	54	21	applied	apply	VERB
cana-5400	54	22	several	several	ADJ
cana-5400	54	23	classification	classification	NOUN
cana-5400	54	24	algorithms	algorithm	NOUN
cana-5400	54	25	,	,	PUNCT
cana-5400	54	26	including	include	VERB
cana-5400	54	27	knn	knn	PROPN
cana-5400	54	28	,	,	PUNCT
cana-5400	54	29	naive	naive	ADJ
cana-5400	54	30	bayes	bayes	NOUN
cana-5400	54	31	,	,	PUNCT
cana-5400	54	32	logistic	logistic	ADJ
cana-5400	54	33	regression	regression	NOUN
cana-5400	54	34	,	,	PUNCT
cana-5400	54	35	support	support	NOUN
cana-5400	54	36	vector	vector	NOUN
cana-5400	54	37	machine	machine	NOUN
cana-5400	54	38	(	(	PUNCT
cana-5400	54	39	svm	svm	PROPN
cana-5400	54	40	)	)	PUNCT
cana-5400	54	41	,	,	PUNCT
cana-5400	54	42	and	and	CCONJ
cana-5400	54	43	artificial	artificial	ADJ
cana-5400	54	44	neural	neural	ADJ
cana-5400	54	45	network	network	NOUN
cana-5400	54	46	(	(	PUNCT
cana-5400	54	47	ann	ann	PROPN
cana-5400	54	48	)	)	PUNCT
cana-5400	54	49	,	,	PUNCT
cana-5400	54	50	to	to	ADP
cana-5400	54	51	the	the	DET
cana-5400	54	52	dataset	dataset	NOUN
cana-5400	54	53	and	and	CCONJ
cana-5400	54	54	assessed	assess	VERB
cana-5400	54	55	their	their	PRON
cana-5400	54	56	performance	performance	NOUN
cana-5400	54	57	in	in	ADP
cana-5400	54	58	identifying	identify	VERB
cana-5400	54	59	these	these	DET
cana-5400	54	60	attacks	attack	NOUN
cana-5400	54	61	.	.	PUNCT
cana-5400	55	1	the	the	DET
cana-5400	55	2	analysis	analysis	NOUN
cana-5400	55	3	revealed	reveal	VERB
cana-5400	55	4	that	that	SCONJ
cana-5400	55	5	ann	ann	PROPN
cana-5400	55	6	achieved	achieve	VERB
cana-5400	55	7	the	the	DET
cana-5400	55	8	highest	high	ADJ
cana-5400	55	9	accuracy	accuracy	NOUN
cana-5400	55	10	at	at	ADP
cana-5400	55	11	98.56	98.56	NUM
cana-5400	55	12	%	%	NOUN
cana-5400	55	13	,	,	PUNCT
cana-5400	55	14	followed	follow	VERB
cana-5400	55	15	closely	closely	ADV
cana-5400	55	16	by	by	ADP
cana-5400	55	17	knn	knn	PROPN
cana-5400	55	18	at	at	ADP
cana-5400	55	19	98.4	98.4	NUM
cana-5400	55	20	%	%	NOUN
cana-5400	55	21	.	.	PUNCT
cana-5400	56	1	these	these	DET
cana-5400	56	2	results	result	NOUN
cana-5400	56	3	suggest	suggest	VERB
cana-5400	56	4	that	that	SCONJ
cana-5400	56	5	ann	ann	PROPN
cana-5400	56	6	and	and	CCONJ
cana-5400	56	7	knn	knn	PROPN
cana-5400	56	8	are	be	AUX
cana-5400	56	9	strong	strong	ADJ
cana-5400	56	10	candidates	candidate	NOUN
cana-5400	56	11	for	for	ADP
cana-5400	56	12	intrusion	intrusion	NOUN
cana-5400	56	13	detection	detection	NOUN
cana-5400	56	14	,	,	PUNCT
cana-5400	56	15	making	make	VERB
cana-5400	56	16	them	they	PRON
cana-5400	56	17	suitable	suitable	ADJ
cana-5400	56	18	recommendations	recommendation	NOUN
cana-5400	56	19	for	for	ADP
cana-5400	56	20	network	network	NOUN
cana-5400	56	21	specialists	specialist	NOUN
cana-5400	56	22	and	and	CCONJ
cana-5400	56	23	analysts	analyst	NOUN
cana-5400	56	24	.	.	PUNCT
cana-5400	57	1	[	[	X
cana-5400	57	2	11	11	NUM
cana-5400	57	3	]	]	PUNCT
cana-5400	57	4	proposed	propose	VERB
cana-5400	57	5	a	a	DET
cana-5400	57	6	multitier	multitier	ADJ
cana-5400	57	7	intrusion	intrusion	NOUN
cana-5400	57	8	detection	detection	NOUN
cana-5400	57	9	framework	framework	NOUN
cana-5400	57	10	for	for	ADP
cana-5400	57	11	wsns	wsns	NOUN
cana-5400	57	12	,	,	PUNCT
cana-5400	57	13	implementing	implement	VERB
cana-5400	57	14	a	a	DET
cana-5400	57	15	security	security	NOUN
cana-5400	57	16	approach	approach	NOUN
cana-5400	57	17	with	with	ADP
cana-5400	57	18	two	two	NUM
cana-5400	57	19	detection	detection	NOUN
cana-5400	57	20	layers	layer	NOUN
cana-5400	57	21	.	.	PUNCT
cana-5400	58	1	the	the	DET
cana-5400	58	2	first	first	ADJ
cana-5400	58	3	layer	layer	NOUN
cana-5400	58	4	,	,	PUNCT
cana-5400	58	5	situated	situate	VERB
cana-5400	58	6	at	at	ADP
cana-5400	58	7	the	the	DET
cana-5400	58	8	edge	edge	NOUN
cana-5400	58	9	of	of	ADP
cana-5400	58	10	the	the	DET
cana-5400	58	11	distributed	distribute	VERB
cana-5400	58	12	network	network	NOUN
cana-5400	58	13	,	,	PUNCT
cana-5400	58	14	utilizes	utilize	VERB
cana-5400	58	15	a	a	DET
cana-5400	58	16	naive	naive	ADJ
cana-5400	58	17	bayes	bayes	NOUN
cana-5400	58	18	classifier	classifier	NOUN
cana-5400	58	19	for	for	ADP
cana-5400	58	20	quick	quick	ADJ
cana-5400	58	21	decisions	decision	NOUN
cana-5400	58	22	concerning	concern	VERB
cana-5400	58	23	inspected	inspect	VERB
cana-5400	58	24	packets	packet	NOUN
cana-5400	58	25	.	.	PUNCT
cana-5400	59	1	the	the	DET
cana-5400	59	2	second	second	ADJ
cana-5400	59	3	layer	layer	NOUN
cana-5400	59	4	,	,	PUNCT
cana-5400	59	5	positioned	position	VERB
cana-5400	59	6	in	in	ADP
cana-5400	59	7	the	the	DET
cana-5400	59	8	cloud	cloud	NOUN
cana-5400	59	9	,	,	PUNCT
cana-5400	59	10	employed	employ	VERB
cana-5400	59	11	a	a	DET
cana-5400	59	12	random	random	ADJ
cana-5400	59	13	forest	forest	NOUN
cana-5400	59	14	multi	multi	ADJ
cana-5400	59	15	-	-	ADJ
cana-5400	59	16	class	class	ADJ
cana-5400	59	17	classifier	classifier	NOUN
cana-5400	59	18	for	for	ADP
cana-5400	59	19	thorough	thorough	ADJ
cana-5400	59	20	packet	packet	NOUN
cana-5400	59	21	analysis	analysis	NOUN
cana-5400	59	22	.	.	PUNCT
cana-5400	60	1	it	it	PRON
cana-5400	60	2	achieved	achieve	VERB
cana-5400	60	3	excellent	excellent	ADJ
cana-5400	60	4	performance	performance	NOUN
cana-5400	60	5	scores	score	NOUN
cana-5400	60	6	,	,	PUNCT
cana-5400	60	7	including	include	VERB
cana-5400	60	8	a	a	DET
cana-5400	60	9	100	100	NUM
cana-5400	60	10	%	%	NOUN
cana-5400	60	11	precision	precision	NOUN
cana-5400	60	12	rate	rate	NOUN
cana-5400	60	13	for	for	ADP
cana-5400	60	14	normal	normal	ADJ
cana-5400	60	15	attacks	attack	NOUN
cana-5400	60	16	,	,	PUNCT
cana-5400	60	17	90.4	90.4	NUM
cana-5400	60	18	%	%	NOUN
cana-5400	60	19	for	for	ADP
cana-5400	60	20	flooding	flooding	NOUN
cana-5400	60	21	attacks	attack	NOUN
cana-5400	60	22	,	,	PUNCT
cana-5400	60	23	99.5	99.5	NUM
cana-5400	60	24	%	%	NOUN
cana-5400	60	25	for	for	ADP
cana-5400	60	26	scheduling	scheduling	NOUN
cana-5400	60	27	attacks	attack	NOUN
cana-5400	60	28	,	,	PUNCT
cana-5400	60	29	97	97	NUM
cana-5400	60	30	%	%	NOUN
cana-5400	60	31	for	for	ADP
cana-5400	60	32	grayhole	grayhole	NOUN
cana-5400	60	33	attacks	attack	NOUN
cana-5400	60	34	,	,	PUNCT
cana-5400	60	35	and	and	CCONJ
cana-5400	60	36	99.9	99.9	NUM
cana-5400	60	37	%	%	NOUN
cana-5400	60	38	for	for	ADP
cana-5400	60	39	blackhole	blackhole	NOUN
cana-5400	60	40	attacks	attack	NOUN
cana-5400	60	41	.	.	PUNCT
cana-5400	61	1	work	work	NOUN
cana-5400	61	2	done	do	VERB
cana-5400	61	3	by	by	ADP
cana-5400	61	4	[	[	X
cana-5400	61	5	16	16	NUM
cana-5400	61	6	]	]	PUNCT
cana-5400	61	7	introduced	introduce	VERB
cana-5400	61	8	a	a	DET
cana-5400	61	9	deep	deep	ADJ
cana-5400	61	10	learning	learning	NOUN
cana-5400	61	11	model	model	NOUN
cana-5400	61	12	that	that	PRON
cana-5400	61	13	utilized	utilize	VERB
cana-5400	61	14	a	a	DET
cana-5400	61	15	convolutional	convolutional	ADJ
cana-5400	61	16	neural	neural	ADJ
cana-5400	61	17	network	network	NOUN
cana-5400	61	18	.	.	PUNCT
cana-5400	62	1	this	this	DET
cana-5400	62	2	model	model	NOUN
cana-5400	62	3	encompassed	encompass	VERB
cana-5400	62	4	two	two	NUM
cana-5400	62	5	essential	essential	ADJ
cana-5400	62	6	phases	phase	NOUN
cana-5400	62	7	:	:	PUNCT
cana-5400	62	8	detecting	detect	VERB
cana-5400	62	9	intrusions	intrusion	NOUN
cana-5400	62	10	and	and	CCONJ
cana-5400	62	11	preventing	prevent	VERB
cana-5400	62	12	them	they	PRON
cana-5400	62	13	.	.	PUNCT
cana-5400	63	1	it	it	PRON
cana-5400	63	2	acquired	acquire	VERB
cana-5400	63	3	meaningful	meaningful	ADJ
cana-5400	63	4	feature	feature	NOUN
cana-5400	63	5	representations	representation	NOUN
cana-5400	63	6	from	from	ADP
cana-5400	63	7	a	a	DET
cana-5400	63	8	labeled	label	VERB
cana-5400	63	9	dataset	dataset	NOUN
cana-5400	63	10	and	and	CCONJ
cana-5400	63	11	performed	perform	VERB
cana-5400	63	12	accurate	accurate	ADJ
cana-5400	63	13	classifications	classification	NOUN
cana-5400	63	14	.	.	PUNCT
cana-5400	64	1	they	they	PRON
cana-5400	64	2	harnessed	harness	VERB
cana-5400	64	3	the	the	DET
cana-5400	64	4	power	power	NOUN
cana-5400	64	5	of	of	ADP
cana-5400	64	6	the	the	DET
cana-5400	64	7	convolutional	convolutional	ADJ
cana-5400	64	8	neural	neural	ADJ
cana-5400	64	9	network	network	NOUN
cana-5400	64	10	to	to	PART
cana-5400	64	11	prevent	prevent	VERB
cana-5400	64	12	intrusions	intrusion	NOUN
cana-5400	64	13	in	in	ADP
cana-5400	64	14	wsns	wsns	NOUN
cana-5400	64	15	.	.	PUNCT
cana-5400	65	1	they	they	PRON
cana-5400	65	2	employed	employ	VERB
cana-5400	65	3	the	the	DET
cana-5400	65	4	wsn	wsn	NOUN
cana-5400	65	5	-	-	ADJ
cana-5400	65	6	ds	ds	ADJ
cana-5400	65	7	to	to	PART
cana-5400	65	8	assess	assess	VERB
cana-5400	65	9	the	the	DET
cana-5400	65	10	system	system	NOUN
cana-5400	65	11	’s	’s	PART
cana-5400	65	12	effectiveness	effectiveness	NOUN
cana-5400	65	13	.	.	PUNCT
cana-5400	66	1	the	the	DET
cana-5400	66	2	test	test	NOUN
cana-5400	66	3	outcomes	outcome	NOUN
cana-5400	66	4	showed	show	VERB
cana-5400	66	5	that	that	SCONJ
cana-5400	66	6	the	the	DET
cana-5400	66	7	proposed	propose	VERB
cana-5400	66	8	system	system	NOUN
cana-5400	66	9	achieved	achieve	VERB
cana-5400	66	10	a	a	DET
cana-5400	66	11	remarkable	remarkable	ADJ
cana-5400	66	12	accuracy	accuracy	NOUN
cana-5400	66	13	rate	rate	NOUN
cana-5400	66	14	of	of	ADP
cana-5400	66	15	97	97	NUM
cana-5400	66	16	%	%	NOUN
cana-5400	66	17	.	.	PUNCT
cana-5400	67	1	an	an	DET
cana-5400	67	2	optimized	optimize	VERB
cana-5400	67	3	collaborative	collaborative	ADJ
cana-5400	67	4	intrusion	intrusion	NOUN
cana-5400	67	5	detection	detection	NOUN
cana-5400	67	6	system	system	NOUN
cana-5400	67	7	(	(	PUNCT
cana-5400	67	8	ocids	ocid	NOUN
cana-5400	67	9	)	)	PUNCT
cana-5400	67	10	was	be	AUX
cana-5400	67	11	developed	develop	VERB
cana-5400	67	12	by	by	ADP
cana-5400	67	13	[	[	X
cana-5400	67	14	17	17	NUM
cana-5400	67	15	]	]	PUNCT
cana-5400	67	16	for	for	ADP
cana-5400	67	17	wsns	wsns	NOUN
cana-5400	67	18	using	use	VERB
cana-5400	67	19	an	an	DET
cana-5400	67	20	enhanced	enhanced	ADJ
cana-5400	67	21	artificial	artificial	ADJ
cana-5400	67	22	bee	bee	NOUN
cana-5400	67	23	colony	colony	NOUN
cana-5400	67	24	optimization	optimization	NOUN
cana-5400	67	25	(	(	PUNCT
cana-5400	67	26	bco	bco	NOUN
cana-5400	67	27	)	)	PUNCT
cana-5400	67	28	algorithm	algorithm	NOUN
cana-5400	67	29	.	.	PUNCT
cana-5400	68	1	it	it	PRON
cana-5400	68	2	improved	improve	VERB
cana-5400	68	3	the	the	DET
cana-5400	68	4	accuracy	accuracy	NOUN
cana-5400	68	5	of	of	ADP
cana-5400	68	6	intrusion	intrusion	NOUN
cana-5400	68	7	detection	detection	NOUN
cana-5400	68	8	and	and	CCONJ
cana-5400	68	9	resource	resource	NOUN
cana-5400	68	10	efficiency	efficiency	NOUN
cana-5400	68	11	.	.	PUNCT
cana-5400	69	1	the	the	DET
cana-5400	69	2	ocids	ocid	NOUN
cana-5400	69	3	also	also	ADV
cana-5400	69	4	enhanced	enhance	VERB
cana-5400	69	5	the	the	DET
cana-5400	69	6	weighted	weighted	ADJ
cana-5400	69	7	support	support	NOUN
cana-5400	69	8	vector	vector	NOUN
cana-5400	69	9	machine	machine	NOUN
cana-5400	69	10	(	(	PUNCT
cana-5400	69	11	svm	svm	ADJ
cana-5400	69	12	)	)	PUNCT
cana-5400	69	13	algorithm	algorithm	NOUN
cana-5400	69	14	to	to	PART
cana-5400	69	15	reduce	reduce	VERB
cana-5400	69	16	false	false	ADJ
cana-5400	69	17	alarms	alarm	NOUN
cana-5400	69	18	.	.	PUNCT
cana-5400	70	1	the	the	DET
cana-5400	70	2	outcome	outcome	NOUN
cana-5400	70	3	of	of	ADP
cana-5400	70	4	ocids	ocid	NOUN
cana-5400	70	5	outperformed	outperform	VERB
cana-5400	70	6	other	other	ADJ
cana-5400	70	7	systems	system	NOUN
cana-5400	70	8	with	with	ADP
cana-5400	70	9	a	a	DET
cana-5400	70	10	97.9	97.9	NUM
cana-5400	70	11	%	%	NOUN
cana-5400	70	12	detection	detection	NOUN
cana-5400	70	13	rate	rate	NOUN
cana-5400	70	14	and	and	CCONJ
cana-5400	70	15	a	a	DET
cana-5400	70	16	1.8	1.8	NUM
cana-5400	70	17	%	%	NOUN
cana-5400	70	18	false	false	ADJ
cana-5400	70	19	alarm	alarm	NOUN
cana-5400	70	20	rate	rate	NOUN
cana-5400	70	21	,	,	PUNCT
cana-5400	70	22	demonstrating	demonstrate	VERB
cana-5400	70	23	a	a	DET
cana-5400	70	24	clear	clear	ADJ
cana-5400	70	25	advantage	advantage	NOUN
cana-5400	70	26	of	of	ADP
cana-5400	70	27	using	use	VERB
cana-5400	70	28	it	it	PRON
cana-5400	70	29	.	.	PUNCT
cana-5400	71	1	in	in	ADP
cana-5400	71	2	[	[	X
cana-5400	71	3	18	18	NUM
cana-5400	71	4	]	]	PUNCT
cana-5400	71	5	,	,	PUNCT
cana-5400	71	6	it	it	PRON
cana-5400	71	7	employed	employ	VERB
cana-5400	71	8	the	the	DET
cana-5400	71	9	use	use	NOUN
cana-5400	71	10	of	of	ADP
cana-5400	71	11	xgboost	xgboost	NOUN
cana-5400	71	12	in	in	ADP
cana-5400	71	13	intrusion	intrusion	NOUN
cana-5400	71	14	detection	detection	NOUN
cana-5400	71	15	systems	system	NOUN
cana-5400	71	16	(	(	PUNCT
cana-5400	71	17	ids	id	NOUN
cana-5400	71	18	)	)	PUNCT
cana-5400	71	19	for	for	ADP
cana-5400	71	20	imbalanced	imbalanced	ADJ
cana-5400	71	21	data	datum	NOUN
cana-5400	71	22	in	in	ADP
cana-5400	71	23	wsns	wsns	PROPN
cana-5400	71	24	cyber	cyber	NOUN
cana-5400	71	25	-	-	PUNCT
cana-5400	71	26	attacks	attack	NOUN
cana-5400	71	27	.	.	PUNCT
cana-5400	72	1	to	to	PART
cana-5400	72	2	assess	assess	VERB
cana-5400	72	3	its	its	PRON
cana-5400	72	4	performance	performance	NOUN
cana-5400	72	5	,	,	PUNCT
cana-5400	72	6	comparison	comparison	NOUN
cana-5400	72	7	of	of	ADP
cana-5400	72	8	xgboost	xgboost	ADV
cana-5400	72	9	to	to	PART
cana-5400	72	10	decision	decision	VERB
cana-5400	72	11	trees	tree	NOUN
cana-5400	72	12	and	and	CCONJ
cana-5400	72	13	naive	naive	ADJ
cana-5400	72	14	bayes	bayes	NOUN
cana-5400	72	15	was	be	AUX
cana-5400	72	16	done	do	VERB
cana-5400	72	17	,	,	PUNCT
cana-5400	72	18	employing	employ	VERB
cana-5400	72	19	various	various	ADJ
cana-5400	72	20	evaluation	evaluation	NOUN
cana-5400	72	21	metrics	metric	NOUN
cana-5400	72	22	.	.	PUNCT
cana-5400	73	1	the	the	DET
cana-5400	73	2	results	result	NOUN
cana-5400	73	3	showed	show	VERB
cana-5400	73	4	xgboost	xgboost	PROPN
cana-5400	73	5	’s	’s	PART
cana-5400	73	6	superiority	superiority	NOUN
cana-5400	73	7	,	,	PUNCT
cana-5400	73	8	with	with	ADP
cana-5400	73	9	the	the	DET
cana-5400	73	10	highest	high	ADJ
cana-5400	73	11	auc	auc	NOUN
cana-5400	73	12	values	value	NOUN
cana-5400	73	13	across	across	ADP
cana-5400	73	14	scheduling	scheduling	NOUN
cana-5400	73	15	,	,	PUNCT
cana-5400	73	16	normal	normal	ADJ
cana-5400	73	17	,	,	PUNCT
cana-5400	73	18	grayhole	grayhole	NOUN
cana-5400	73	19	,	,	PUNCT
cana-5400	73	20	flooding	flooding	NOUN
cana-5400	73	21	,	,	PUNCT
cana-5400	73	22	and	and	CCONJ
cana-5400	73	23	blackhole	blackhole	PROPN
cana-5400	73	24	classes	class	NOUN
cana-5400	73	25	,	,	PUNCT
cana-5400	73	26	achieving	achieve	VERB
cana-5400	73	27	98.7	98.7	NUM
cana-5400	73	28	%	%	NOUN
cana-5400	73	29	,	,	PUNCT
cana-5400	73	30	99.63	99.63	NUM
cana-5400	73	31	%	%	NOUN
cana-5400	73	32	,	,	PUNCT
cana-5400	73	33	99.94	99.94	NUM
cana-5400	73	34	%	%	NOUN
cana-5400	73	35	,	,	PUNCT
cana-5400	73	36	99.97	99.97	NUM
cana-5400	73	37	%	%	NOUN
cana-5400	73	38	,	,	PUNCT
cana-5400	73	39	and	and	CCONJ
cana-5400	73	40	99.99	99.99	NUM
cana-5400	73	41	%	%	NOUN
cana-5400	73	42	,	,	PUNCT
cana-5400	73	43	respectively	respectively	ADV
cana-5400	73	44	.	.	PUNCT
cana-5400	74	1	the	the	DET
cana-5400	74	2	work	work	NOUN
cana-5400	74	3	done	do	VERB
cana-5400	74	4	by	by	ADP
cana-5400	74	5	[	[	X
cana-5400	74	6	19	19	NUM
cana-5400	74	7	]	]	PUNCT
cana-5400	74	8	proposed	propose	VERB
cana-5400	74	9	an	an	DET
cana-5400	74	10	autoencoder	autoencoder	NOUN
cana-5400	74	11	-	-	PUNCT
cana-5400	74	12	based	base	VERB
cana-5400	74	13	framework	framework	NOUN
cana-5400	74	14	using	use	VERB
cana-5400	74	15	convolutional	convolutional	ADJ
cana-5400	74	16	and	and	CCONJ
cana-5400	74	17	recurrent	recurrent	ADJ
cana-5400	74	18	networks	network	NOUN
cana-5400	74	19	for	for	ADP
cana-5400	74	20	cyber	cyber	NOUN
cana-5400	74	21	threat	threat	NOUN
cana-5400	74	22	detection	detection	NOUN
cana-5400	74	23	in	in	ADP
cana-5400	74	24	iiot	iiot	NOUN
cana-5400	74	25	networks	network	NOUN
cana-5400	74	26	.	.	PUNCT
cana-5400	75	1	fully	fully	ADV
cana-5400	75	2	connected	connect	VERB
cana-5400	75	3	networks	network	NOUN
cana-5400	75	4	leverage	leverage	NOUN
cana-5400	75	5	extracted	extract	VERB
cana-5400	75	6	features	feature	NOUN
cana-5400	75	7	for	for	ADP
cana-5400	75	8	attack	attack	NOUN
cana-5400	75	9	event	event	NOUN
cana-5400	75	10	classification	classification	NOUN
cana-5400	75	11	.	.	PUNCT
cana-5400	76	1	empirical	empirical	ADJ
cana-5400	76	2	results	result	NOUN
cana-5400	76	3	highlight	highlight	VERB
cana-5400	76	4	the	the	DET
cana-5400	76	5	framework	framework	NOUN
cana-5400	76	6	’s	’s	PART
cana-5400	76	7	efficacy	efficacy	NOUN
cana-5400	76	8	,	,	PUNCT
cana-5400	76	9	outperforming	outperform	VERB
cana-5400	76	10	contemporary	contemporary	ADJ
cana-5400	76	11	methods	method	NOUN
cana-5400	76	12	and	and	CCONJ
cana-5400	76	13	showcasing	showcase	VERB
cana-5400	76	14	suitability	suitability	NOUN
cana-5400	76	15	for	for	ADP
cana-5400	76	16	real	real	ADJ
cana-5400	76	17	-	-	PUNCT
cana-5400	76	18	world	world	NOUN
cana-5400	76	19	iiot	iiot	NOUN
cana-5400	76	20	networks	network	NOUN
cana-5400	76	21	.	.	PUNCT
cana-5400	77	1	3	3	NUM
cana-5400	77	2	methodology	methodology	NOUN
cana-5400	77	3	detailed	detailed	ADJ
cana-5400	77	4	description	description	NOUN
cana-5400	77	5	of	of	ADP
cana-5400	77	6	the	the	DET
cana-5400	77	7	experimental	experimental	ADJ
cana-5400	77	8	procedures	procedure	NOUN
cana-5400	77	9	and	and	CCONJ
cana-5400	77	10	implementation	implementation	NOUN
cana-5400	77	11	specifics	specific	NOUN
cana-5400	77	12	are	be	AUX
cana-5400	77	13	as	as	SCONJ
cana-5400	77	14	follows	follow	VERB
cana-5400	77	15	:	:	PUNCT
cana-5400	77	16	•	•	NUM
cana-5400	77	17	data	data	NOUN
cana-5400	77	18	collection	collection	NOUN
cana-5400	77	19	:	:	PUNCT
cana-5400	77	20	raw	raw	ADJ
cana-5400	77	21	data	datum	NOUN
cana-5400	77	22	from	from	ADP
cana-5400	77	23	wsns	wsns	NOUN
cana-5400	77	24	was	be	AUX
cana-5400	77	25	collected	collect	VERB
cana-5400	77	26	to	to	PART
cana-5400	77	27	form	form	VERB
cana-5400	77	28	the	the	DET
cana-5400	77	29	foundation	foundation	NOUN
cana-5400	77	30	for	for	ADP
cana-5400	77	31	the	the	DET
cana-5400	77	32	experimental	experimental	ADJ
cana-5400	77	33	dataset	dataset	NOUN
cana-5400	77	34	.	.	PUNCT
cana-5400	78	1	•	•	NUM
cana-5400	78	2	preprocessing	preprocesse	VERB
cana-5400	78	3	techniques	technique	NOUN
cana-5400	78	4	:	:	PUNCT
cana-5400	78	5	a	a	DET
cana-5400	78	6	crucial	crucial	ADJ
cana-5400	78	7	aspect	aspect	NOUN
cana-5400	78	8	of	of	ADP
cana-5400	78	9	the	the	DET
cana-5400	78	10	methodology	methodology	NOUN
cana-5400	78	11	involved	involve	VERB
cana-5400	78	12	the	the	DET
cana-5400	78	13	preprocessing	preprocessing	NOUN
cana-5400	78	14	of	of	ADP
cana-5400	78	15	the	the	DET
cana-5400	78	16	collected	collect	VERB
cana-5400	78	17	data	datum	NOUN
cana-5400	78	18	.	.	PUNCT
cana-5400	79	1	standardization	standardization	NOUN
cana-5400	79	2	was	be	AUX
cana-5400	79	3	applied	apply	VERB
cana-5400	79	4	to	to	PART
cana-5400	79	5	normalize	normalize	VERB
cana-5400	79	6	input	input	NOUN
cana-5400	79	7	features	feature	NOUN
cana-5400	79	8	.	.	PUNCT
cana-5400	80	1	further	far	ADV
cana-5400	80	2	,	,	PUNCT
cana-5400	80	3	label	label	NOUN
cana-5400	80	4	encoding	encoding	NOUN
cana-5400	80	5	was	be	AUX
cana-5400	80	6	communications	communication	NOUN
cana-5400	80	7	on	on	ADP
cana-5400	80	8	applied	apply	VERB
cana-5400	80	9	nonlinear	nonlinear	ADJ
cana-5400	80	10	analysis	analysis	NOUN
cana-5400	80	11	issn	issn	NOUN
cana-5400	80	12	:	:	PUNCT
cana-5400	80	13	1074	1074	NUM
cana-5400	80	14	-	-	PUNCT
cana-5400	80	15	133x	133x	NUM
cana-5400	80	16	vol	vol	NOUN
cana-5400	80	17	32	32	NUM
cana-5400	80	18	no	no	NOUN
cana-5400	80	19	.	.	PUNCT
cana-5400	81	1	icmasd	icmasd	NOUN
cana-5400	81	2	(	(	PUNCT
cana-5400	81	3	2025	2025	NUM
cana-5400	81	4	)	)	PUNCT
cana-5400	81	5	1845	1845	NUM
cana-5400	82	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	82	2	done	do	VERB
cana-5400	82	3	to	to	PART
cana-5400	82	4	convert	convert	VERB
cana-5400	82	5	categorical	categorical	ADJ
cana-5400	82	6	target	target	NOUN
cana-5400	82	7	feature	feature	NOUN
cana-5400	82	8	into	into	ADP
cana-5400	82	9	a	a	DET
cana-5400	82	10	numerical	numerical	ADJ
cana-5400	82	11	format	format	NOUN
cana-5400	82	12	,	,	PUNCT
cana-5400	82	13	facilitating	facilitate	VERB
cana-5400	82	14	compatibility	compatibility	NOUN
cana-5400	82	15	with	with	ADP
cana-5400	82	16	machine	machine	NOUN
cana-5400	82	17	algorithms	algorithm	NOUN
cana-5400	82	18	.	.	PUNCT
cana-5400	83	1	•	•	NUM
cana-5400	83	2	data	datum	NOUN
cana-5400	83	3	balancing	balancing	NOUN
cana-5400	83	4	:	:	PUNCT
cana-5400	83	5	to	to	PART
cana-5400	83	6	address	address	VERB
cana-5400	83	7	the	the	DET
cana-5400	83	8	challenge	challenge	NOUN
cana-5400	83	9	of	of	ADP
cana-5400	83	10	imbalanced	imbalanced	ADJ
cana-5400	83	11	datasets	dataset	NOUN
cana-5400	83	12	and	and	CCONJ
cana-5400	83	13	potential	potential	ADJ
cana-5400	83	14	overfitting	overfitting	NOUN
cana-5400	83	15	,	,	PUNCT
cana-5400	83	16	the	the	DET
cana-5400	83	17	synthetic	synthetic	ADJ
cana-5400	83	18	minority	minority	NOUN
cana-5400	83	19	over	over	ADP
cana-5400	83	20	-	-	PUNCT
cana-5400	83	21	sampling	sample	VERB
cana-5400	83	22	technique	technique	NOUN
cana-5400	83	23	(	(	PUNCT
cana-5400	83	24	smote	smote	NOUN
cana-5400	83	25	)	)	PUNCT
cana-5400	83	26	combined	combine	VERB
cana-5400	83	27	with	with	ADP
cana-5400	83	28	the	the	DET
cana-5400	83	29	tomek	tomek	PROPN
cana-5400	83	30	links	link	NOUN
cana-5400	83	31	removal	removal	NOUN
cana-5400	83	32	method	method	NOUN
cana-5400	83	33	(	(	PUNCT
cana-5400	83	34	smotetomek	smotetomek	PROPN
cana-5400	83	35	)	)	PUNCT
cana-5400	83	36	was	be	AUX
cana-5400	83	37	utilized	utilize	VERB
cana-5400	83	38	.	.	PUNCT
cana-5400	84	1	this	this	DET
cana-5400	84	2	technique	technique	NOUN
cana-5400	84	3	ensured	ensure	VERB
cana-5400	84	4	a	a	DET
cana-5400	84	5	balanced	balanced	ADJ
cana-5400	84	6	representation	representation	NOUN
cana-5400	84	7	of	of	ADP
cana-5400	84	8	both	both	CCONJ
cana-5400	84	9	normal	normal	ADJ
cana-5400	84	10	and	and	CCONJ
cana-5400	84	11	intrusion	intrusion	NOUN
cana-5400	84	12	instances	instance	NOUN
cana-5400	84	13	in	in	ADP
cana-5400	84	14	the	the	DET
cana-5400	84	15	dataset	dataset	NOUN
cana-5400	84	16	,	,	PUNCT
cana-5400	84	17	contributing	contribute	VERB
cana-5400	84	18	to	to	ADP
cana-5400	84	19	improved	improved	ADJ
cana-5400	84	20	model	model	NOUN
cana-5400	84	21	generalization	generalization	NOUN
cana-5400	84	22	.	.	PUNCT
cana-5400	85	1	•	•	NUM
cana-5400	85	2	data	datum	NOUN
cana-5400	85	3	splitting	splitting	NOUN
cana-5400	85	4	:	:	PUNCT
cana-5400	85	5	the	the	DET
cana-5400	85	6	experimental	experimental	ADJ
cana-5400	85	7	dataset	dataset	NOUN
cana-5400	85	8	underwent	underwent	NOUN
cana-5400	85	9	k	k	ADJ
cana-5400	85	10	-	-	ADJ
cana-5400	85	11	fold	fold	ADJ
cana-5400	85	12	cross	cross	NOUN
cana-5400	85	13	-	-	NOUN
cana-5400	85	14	validation	validation	ADJ
cana-5400	85	15	,	,	PUNCT
cana-5400	85	16	specifically	specifically	ADV
cana-5400	85	17	with	with	ADP
cana-5400	85	18	10	10	NUM
cana-5400	85	19	folds	fold	NOUN
cana-5400	85	20	,	,	PUNCT
cana-5400	85	21	to	to	PART
cana-5400	85	22	split	split	VERB
cana-5400	85	23	it	it	PRON
cana-5400	85	24	into	into	ADP
cana-5400	85	25	training	training	NOUN
cana-5400	85	26	and	and	CCONJ
cana-5400	85	27	testing	testing	NOUN
cana-5400	85	28	sets	set	NOUN
cana-5400	85	29	.	.	PUNCT
cana-5400	86	1	this	this	DET
cana-5400	86	2	process	process	NOUN
cana-5400	86	3	enhances	enhance	VERB
cana-5400	86	4	the	the	DET
cana-5400	86	5	model	model	NOUN
cana-5400	86	6	’s	’s	PART
cana-5400	86	7	performance	performance	NOUN
cana-5400	86	8	.	.	PUNCT
cana-5400	87	1	•	•	NUM
cana-5400	87	2	model	model	NOUN
cana-5400	87	3	building	building	NOUN
cana-5400	87	4	:	:	PUNCT
cana-5400	87	5	several	several	ADJ
cana-5400	87	6	machine	machine	NOUN
cana-5400	87	7	learning	learn	VERB
cana-5400	87	8	algorithms	algorithm	NOUN
cana-5400	87	9	like	like	ADP
cana-5400	87	10	rf	rf	VERB
cana-5400	87	11	,	,	PUNCT
cana-5400	87	12	dt	dt	PUNCT
cana-5400	87	13	and	and	CCONJ
cana-5400	87	14	knn	knn	PROPN
cana-5400	87	15	were	be	AUX
cana-5400	87	16	implemented	implement	VERB
cana-5400	87	17	for	for	ADP
cana-5400	87	18	intrusion	intrusion	NOUN
cana-5400	87	19	detection	detection	NOUN
cana-5400	87	20	model	model	NOUN
cana-5400	87	21	development	development	NOUN
cana-5400	87	22	.	.	PUNCT
cana-5400	88	1	•	•	NUM
cana-5400	88	2	model	model	NOUN
cana-5400	88	3	evaluation	evaluation	NOUN
cana-5400	88	4	:	:	PUNCT
cana-5400	88	5	various	various	ADJ
cana-5400	88	6	evaluation	evaluation	NOUN
cana-5400	88	7	metrics	metric	NOUN
cana-5400	88	8	,	,	PUNCT
cana-5400	88	9	including	include	VERB
cana-5400	88	10	accuracy	accuracy	NOUN
cana-5400	88	11	,	,	PUNCT
cana-5400	88	12	precision	precision	NOUN
cana-5400	88	13	,	,	PUNCT
cana-5400	88	14	recall	recall	NOUN
cana-5400	88	15	,	,	PUNCT
cana-5400	88	16	and	and	CCONJ
cana-5400	88	17	f1	f1	NOUN
cana-5400	88	18	-	-	PUNCT
cana-5400	88	19	score	score	NOUN
cana-5400	88	20	,	,	PUNCT
cana-5400	88	21	were	be	AUX
cana-5400	88	22	employed	employ	VERB
cana-5400	88	23	to	to	PART
cana-5400	88	24	showcase	showcase	VERB
cana-5400	88	25	the	the	DET
cana-5400	88	26	effectiveness	effectiveness	NOUN
cana-5400	88	27	in	in	ADP
cana-5400	88	28	detecting	detect	VERB
cana-5400	88	29	and	and	CCONJ
cana-5400	88	30	classifying	classify	VERB
cana-5400	88	31	intrusions	intrusion	NOUN
cana-5400	88	32	.	.	PUNCT
cana-5400	89	1	•	•	NUM
cana-5400	89	2	model	model	NOUN
cana-5400	89	3	selection	selection	NOUN
cana-5400	89	4	:	:	PUNCT
cana-5400	89	5	the	the	DET
cana-5400	89	6	final	final	ADJ
cana-5400	89	7	step	step	NOUN
cana-5400	89	8	involved	involve	VERB
cana-5400	89	9	selecting	select	VERB
cana-5400	89	10	the	the	DET
cana-5400	89	11	best	well	ADV
cana-5400	89	12	-	-	PUNCT
cana-5400	89	13	performing	perform	VERB
cana-5400	89	14	model	model	NOUN
cana-5400	89	15	based	base	VERB
cana-5400	89	16	on	on	ADP
cana-5400	89	17	the	the	DET
cana-5400	89	18	comprehensive	comprehensive	ADJ
cana-5400	89	19	evaluation	evaluation	NOUN
cana-5400	89	20	results	result	NOUN
cana-5400	89	21	.	.	PUNCT
cana-5400	90	1	the	the	DET
cana-5400	90	2	overall	overall	ADJ
cana-5400	90	3	algorithmic	algorithmic	ADJ
cana-5400	90	4	steps	step	NOUN
cana-5400	90	5	of	of	ADP
cana-5400	90	6	our	our	PRON
cana-5400	90	7	proposal	proposal	NOUN
cana-5400	90	8	for	for	ADP
cana-5400	90	9	intrusion	intrusion	NOUN
cana-5400	90	10	detection	detection	NOUN
cana-5400	90	11	in	in	ADP
cana-5400	90	12	wsns	wsns	NOUN
cana-5400	90	13	is	be	AUX
cana-5400	90	14	shown	show	VERB
cana-5400	90	15	in	in	ADP
cana-5400	90	16	algorithm	algorithm	NOUN
cana-5400	90	17	1	1	NUM
cana-5400	90	18	as	as	SCONJ
cana-5400	90	19	follows	follow	VERB
cana-5400	90	20	:	:	PUNCT
cana-5400	90	21	algorithm	algorithm	NOUN
cana-5400	90	22	1	1	NUM
cana-5400	90	23	:	:	PUNCT
cana-5400	90	24	procedure	procedure	NOUN
cana-5400	90	25	for	for	ADP
cana-5400	90	26	ids	id	NOUN
cana-5400	90	27	-	-	PUNCT
cana-5400	90	28	wsn	wsn	NOUN
cana-5400	90	29	1	1	NUM
cana-5400	90	30	.	.	PUNCT
cana-5400	90	31	procedure	procedure	NOUN
cana-5400	90	32	intrusiondetectionwsn(file_path	intrusiondetectionwsn(file_path	NOUN
cana-5400	90	33	,	,	PUNCT
cana-5400	90	34	target_column	target_column	PROPN
cana-5400	90	35	)	)	PUNCT
cana-5400	91	1	2	2	NUM
cana-5400	91	2	.	.	X
cana-5400	91	3	input	input	NOUN
cana-5400	91	4	:	:	PUNCT
cana-5400	91	5	wsn	wsn	NOUN
cana-5400	91	6	-	-	ADJ
cana-5400	91	7	ds	ds	NOUN
cana-5400	91	8	as	as	ADP
cana-5400	91	9	a	a	DET
cana-5400	91	10	csv	csv	NOUN
cana-5400	91	11	file	file	NOUN
cana-5400	91	12	path	path	NOUN
cana-5400	91	13	(	(	PUNCT
cana-5400	91	14	file_path	file_path	NOUN
cana-5400	91	15	)	)	PUNCT
cana-5400	91	16	3	3	NUM
cana-5400	91	17	.	.	X
cana-5400	92	1	output	output	NOUN
cana-5400	92	2	:	:	PUNCT
cana-5400	92	3	trained	train	VERB
cana-5400	92	4	ml	ml	NOUN
cana-5400	92	5	models	model	NOUN
cana-5400	92	6	,	,	PUNCT
cana-5400	92	7	evaluate	evaluate	VERB
cana-5400	92	8	performance	performance	NOUN
cana-5400	92	9	of	of	ADP
cana-5400	92	10	each	each	DET
cana-5400	92	11	model	model	NOUN
cana-5400	92	12	4	4	NUM
cana-5400	92	13	.	.	PUNCT
cana-5400	92	14	procedure	procedure	NOUN
cana-5400	92	15	readcsv	readcsv	ADV
cana-5400	92	16	(	(	PUNCT
cana-5400	92	17	file_path	file_path	NOUN
cana-5400	92	18	)	)	PUNCT
cana-5400	92	19	5	5	NUM
cana-5400	92	20	.	.	X
cana-5400	92	21	initialize	initialize	VERB
cana-5400	92	22	dataframe	dataframe	ADJ
cana-5400	92	23	:	:	PUNCT
cana-5400	92	24	df	df	PROPN
cana-5400	92	25	6	6	NUM
cana-5400	92	26	.	.	PUNCT
cana-5400	93	1	df	df	PROPN
cana-5400	93	2			PROPN
cana-5400	93	3	read	read	NOUN
cana-5400	93	4	csv	csv	NOUN
cana-5400	93	5	file	file	NOUN
cana-5400	93	6	located	locate	VERB
cana-5400	93	7	at	at	ADP
cana-5400	93	8	file_path	file_path	PROPN
cana-5400	93	9	7	7	NUM
cana-5400	93	10	.	.	NOUN
cana-5400	93	11	end	end	NOUN
cana-5400	93	12	procedure	procedure	NOUN
cana-5400	93	13	8	8	NUM
cana-5400	93	14	.	.	PUNCT
cana-5400	93	15	procedure	procedure	NOUN
cana-5400	93	16	preprocessdata(df	preprocessdata(df	NOUN
cana-5400	93	17	,	,	PUNCT
cana-5400	93	18	target_coulmn	target_coulmn	NOUN
cana-5400	93	19	)	)	PUNCT
cana-5400	93	20	9	9	NUM
cana-5400	93	21	.	.	X
cana-5400	93	22	initialize	initialize	VERB
cana-5400	93	23	features	feature	NOUN
cana-5400	93	24	:	:	PUNCT
cana-5400	93	25	x	x	SYM
cana-5400	93	26	10	10	X
cana-5400	93	27	.	.	PUNCT
cana-5400	93	28	initialize	initialize	VERB
cana-5400	93	29	target_variable	target_variable	ADJ
cana-5400	93	30	:	:	PUNCT
cana-5400	93	31	y	y	PROPN
cana-5400	93	32	11	11	NUM
cana-5400	93	33	.	.	PUNCT
cana-5400	94	1	x	x	X
cana-5400	94	2	,	,	PUNCT
cana-5400	94	3	y	y	PROPN
cana-5400	94	4			PROPN
cana-5400	94	5	extract	extract	NOUN
cana-5400	94	6	features	feature	NOUN
cana-5400	94	7	and	and	CCONJ
cana-5400	94	8	target	target	VERB
cana-5400	94	9	variable	variable	NOUN
cana-5400	94	10	from	from	ADP
cana-5400	94	11	df	df	PROPN
cana-5400	94	12	12	12	NUM
cana-5400	94	13	.	.	PUNCT
cana-5400	95	1	applystandardization(x	applystandardization(x	X
cana-5400	95	2	)	)	PUNCT
cana-5400	95	3	13	13	NUM
cana-5400	95	4	.	.	PUNCT
cana-5400	96	1	x	x	PRON
cana-5400	96	2			PROPN
cana-5400	96	3	standardize	standardize	VERB
cana-5400	96	4	numerical	numerical	ADJ
cana-5400	96	5	features	feature	NOUN
cana-5400	96	6	in	in	ADP
cana-5400	96	7	x	x	PROPN
cana-5400	96	8	14	14	NUM
cana-5400	96	9	.	.	PUNCT
cana-5400	97	1	encodelabels(y	encodelabels(y	NOUN
cana-5400	97	2	)	)	PUNCT
cana-5400	97	3	communications	communication	NOUN
cana-5400	97	4	on	on	ADP
cana-5400	97	5	applied	apply	VERB
cana-5400	97	6	nonlinear	nonlinear	ADJ
cana-5400	97	7	analysis	analysis	NOUN
cana-5400	97	8	issn	issn	NOUN
cana-5400	97	9	:	:	PUNCT
cana-5400	97	10	1074	1074	NUM
cana-5400	97	11	-	-	PUNCT
cana-5400	97	12	133x	133x	NUM
cana-5400	97	13	vol	vol	NOUN
cana-5400	97	14	32	32	NUM
cana-5400	97	15	no	no	NOUN
cana-5400	97	16	.	.	PUNCT
cana-5400	98	1	icmasd	icmasd	NOUN
cana-5400	98	2	(	(	PUNCT
cana-5400	98	3	2025	2025	NUM
cana-5400	98	4	)	)	PUNCT
cana-5400	98	5	1846	1846	NUM
cana-5400	98	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	98	7	15	15	NUM
cana-5400	98	8	.	.	PUNCT
cana-5400	99	1	y	y	PROPN
cana-5400	99	2			VERB
cana-5400	99	3	encode	encode	ADJ
cana-5400	99	4	categorical	categorical	ADJ
cana-5400	99	5	labels	label	NOUN
cana-5400	99	6	in	in	ADP
cana-5400	99	7	y	y	NOUN
cana-5400	99	8	using	use	VERB
cana-5400	99	9	labelencoder	labelencoder	PROPN
cana-5400	99	10	16	16	NUM
cana-5400	99	11	.	.	PUNCT
cana-5400	100	1	end	end	NOUN
cana-5400	100	2	procedure	procedure	NOUN
cana-5400	100	3	17	17	NUM
cana-5400	100	4	.	.	PUNCT
cana-5400	101	1	procedure	procedure	NOUN
cana-5400	101	2	databalancing	databalance	VERB
cana-5400	101	3	(	(	PUNCT
cana-5400	101	4	x	x	X
cana-5400	101	5	,	,	PUNCT
cana-5400	101	6	y	y	PROPN
cana-5400	101	7	)	)	PUNCT
cana-5400	101	8	18	18	NUM
cana-5400	101	9	.	.	PUNCT
cana-5400	102	1	balancedata(x	balancedata(x	PROPN
cana-5400	102	2	,	,	PUNCT
cana-5400	102	3	y	y	PROPN
cana-5400	102	4	)	)	PUNCT
cana-5400	102	5	19	19	NUM
cana-5400	102	6	.	.	PUNCT
cana-5400	103	1	x	x	X
cana-5400	103	2	,	,	PUNCT
cana-5400	103	3	y	y	PROPN
cana-5400	103	4			VERB
cana-5400	103	5	apply	apply	VERB
cana-5400	103	6	smotetomek	smotetomek	NOUN
cana-5400	103	7	to	to	PART
cana-5400	103	8	balance	balance	VERB
cana-5400	103	9	the	the	DET
cana-5400	103	10	dataset	dataset	NOUN
cana-5400	103	11	20	20	NUM
cana-5400	103	12	.	.	PUNCT
cana-5400	104	1	end	end	NOUN
cana-5400	104	2	procedure	procedure	NOUN
cana-5400	104	3	21	21	NUM
cana-5400	104	4	.	.	PUNCT
cana-5400	105	1	procedure	procedure	NOUN
cana-5400	105	2	splitdata(x	splitdata(x	PROPN
cana-5400	105	3	,	,	PUNCT
cana-5400	105	4	y	y	PROPN
cana-5400	105	5	)	)	PUNCT
cana-5400	105	6	22	22	NUM
cana-5400	105	7	.	.	PUNCT
cana-5400	106	1	initialize	initialize	VERB
cana-5400	106	2	k	k	ADJ
cana-5400	106	3	-	-	ADJ
cana-5400	106	4	fold	fold	ADJ
cana-5400	106	5	cross	cross	NOUN
cana-5400	106	6	-	-	NOUN
cana-5400	106	7	validator	validator	NOUN
cana-5400	106	8	:	:	PUNCT
cana-5400	107	1	k	k	PROPN
cana-5400	107	2	f	f	PROPN
cana-5400	107	3	23	23	NUM
cana-5400	107	4	.	.	PUNCT
cana-5400	108	1	k	k	PROPN
cana-5400	108	2	f	f	PROPN
cana-5400	108	3			PROPN
cana-5400	108	4	initialize	initialize	NOUN
cana-5400	108	5	kfold(n_splits	kfold(n_split	NOUN
cana-5400	108	6	=	=	SYM
cana-5400	108	7	10	10	NUM
cana-5400	108	8	,	,	PUNCT
cana-5400	108	9	shuffle	shuffle	NOUN
cana-5400	108	10	=	=	SYM
cana-5400	108	11	true	true	ADJ
cana-5400	108	12	)	)	PUNCT
cana-5400	108	13	24	24	NUM
cana-5400	108	14	.	.	PUNCT
cana-5400	109	1	for	for	ADP
cana-5400	109	2	train_index	train_index	PROPN
cana-5400	109	3	,	,	PUNCT
cana-5400	109	4	test_index	test_index	NOUN
cana-5400	109	5	in	in	ADP
cana-5400	109	6	k	k	PROPN
cana-5400	109	7	f.	f.	PROPN
cana-5400	109	8	split	split	PROPN
cana-5400	109	9	(	(	PUNCT
cana-5400	109	10	x	x	NOUN
cana-5400	109	11	,	,	PUNCT
cana-5400	109	12	y	y	PROPN
cana-5400	109	13	)	)	PUNCT
cana-5400	109	14	do	do	VERB
cana-5400	109	15	25	25	NUM
cana-5400	109	16	.	.	PUNCT
cana-5400	110	1	x_train	x_train	PROPN
cana-5400	110	2	,	,	PUNCT
cana-5400	110	3	x_test	x_test	X
cana-5400	110	4	split	split	ADJ
cana-5400	110	5	x	x	VERB
cana-5400	110	6	into	into	ADP
cana-5400	110	7	training	training	NOUN
cana-5400	110	8	and	and	CCONJ
cana-5400	110	9	testing	testing	NOUN
cana-5400	110	10	sets	set	VERB
cana-5400	110	11	26	26	NUM
cana-5400	110	12	.	.	PUNCT
cana-5400	111	1	y_train	y_train	PROPN
cana-5400	111	2	,	,	PUNCT
cana-5400	111	3	y_test	y_test	X
cana-5400	111	4			VERB
cana-5400	111	5	split	split	VERB
cana-5400	111	6	y	y	PROPN
cana-5400	111	7	into	into	ADP
cana-5400	111	8	training	training	NOUN
cana-5400	111	9	and	and	CCONJ
cana-5400	111	10	testing	testing	NOUN
cana-5400	111	11	sets	set	VERB
cana-5400	111	12	27	27	NUM
cana-5400	111	13	.	.	PUNCT
cana-5400	112	1	buildmodels(x_train	buildmodels(x_train	PROPN
cana-5400	112	2	,	,	PUNCT
cana-5400	112	3	y_train	y_train	PROPN
cana-5400	112	4	)	)	PUNCT
cana-5400	112	5	28	28	NUM
cana-5400	112	6	.	.	PUNCT
cana-5400	113	1	initialize	initialize	VERB
cana-5400	113	2	each	each	DET
cana-5400	113	3	ml	ml	NOUN
cana-5400	113	4	model	model	NOUN
cana-5400	113	5	:	:	PUNCT
cana-5400	113	6	dt	dt	X
cana-5400	113	7	,	,	PUNCT
cana-5400	113	8	rf	rf	PROPN
cana-5400	113	9	,	,	PUNCT
cana-5400	113	10	knn	knn	PROPN
cana-5400	113	11	29	29	NUM
cana-5400	113	12	.	.	PUNCT
cana-5400	114	1	evaluateperformance	evaluateperformance	NOUN
cana-5400	114	2	(	(	PUNCT
cana-5400	114	3	x_test	x_test	NUM
cana-5400	114	4	,	,	PUNCT
cana-5400	114	5	y_test	y_test	X
cana-5400	114	6	)	)	PUNCT
cana-5400	114	7	30	30	NUM
cana-5400	114	8	.	.	PUNCT
cana-5400	115	1	evaluate	evaluate	VERB
cana-5400	115	2	performances	performance	NOUN
cana-5400	115	3	for	for	ADP
cana-5400	115	4	each	each	DET
cana-5400	115	5	ml	ml	PROPN
cana-5400	115	6	model	model	NOUN
cana-5400	115	7	31	31	NUM
cana-5400	115	8	.	.	PUNCT
cana-5400	116	1	end	end	VERB
cana-5400	116	2	for	for	ADP
cana-5400	116	3	32	32	NUM
cana-5400	116	4	.	.	PUNCT
cana-5400	117	1	end	end	NOUN
cana-5400	117	2	procedure	procedure	NOUN
cana-5400	117	3	33	33	NUM
cana-5400	117	4	.	.	PUNCT
cana-5400	118	1	end	end	NOUN
cana-5400	118	2	procedure	procedure	NOUN
cana-5400	118	3	3.1	3.1	NUM
cana-5400	118	4	dataset	dataset	NOUN
cana-5400	118	5	description	description	NOUN
cana-5400	118	6	the	the	DET
cana-5400	118	7	wireless	wireless	ADJ
cana-5400	118	8	sensor	sensor	NOUN
cana-5400	118	9	network	network	NOUN
cana-5400	118	10	dos	do	NOUN
cana-5400	118	11	detection	detection	NOUN
cana-5400	118	12	dataset	dataset	NOUN
cana-5400	118	13	(	(	PUNCT
cana-5400	118	14	wsn	wsn	NOUN
cana-5400	118	15	-	-	PUNCT
cana-5400	118	16	ds	ds	ADJ
cana-5400	118	17	)	)	PUNCT
cana-5400	119	1	[	[	X
cana-5400	119	2	20	20	NUM
cana-5400	119	3	]	]	PUNCT
cana-5400	119	4	is	be	AUX
cana-5400	119	5	a	a	DET
cana-5400	119	6	comprehensive	comprehensive	ADJ
cana-5400	119	7	collection	collection	NOUN
cana-5400	119	8	crafted	craft	VERB
cana-5400	119	9	for	for	ADP
cana-5400	119	10	the	the	DET
cana-5400	119	11	specific	specific	ADJ
cana-5400	119	12	purpose	purpose	NOUN
cana-5400	119	13	of	of	ADP
cana-5400	119	14	identifying	identify	VERB
cana-5400	119	15	denial	denial	NOUN
cana-5400	119	16	-	-	PUNCT
cana-5400	119	17	of	of	ADP
cana-5400	119	18	-	-	PUNCT
cana-5400	119	19	service	service	NOUN
cana-5400	119	20	(	(	PUNCT
cana-5400	119	21	dos	do	NOUN
cana-5400	119	22	)	)	PUNCT
cana-5400	119	23	attacks	attack	NOUN
cana-5400	119	24	in	in	ADP
cana-5400	119	25	wsns	wsns	PROPN
cana-5400	119	26	(	(	PUNCT
cana-5400	119	27	wsns	wsns	PROPN
cana-5400	119	28	)	)	PUNCT
cana-5400	119	29	.	.	PUNCT
cana-5400	120	1	this	this	DET
cana-5400	120	2	dataset	dataset	NOUN
cana-5400	120	3	,	,	PUNCT
cana-5400	120	4	consisting	consist	VERB
cana-5400	120	5	of	of	ADP
cana-5400	120	6	374,661	374,661	NUM
cana-5400	120	7	records	record	NOUN
cana-5400	120	8	,	,	PUNCT
cana-5400	120	9	was	be	AUX
cana-5400	120	10	assembled	assemble	VERB
cana-5400	120	11	using	use	VERB
cana-5400	120	12	the	the	DET
cana-5400	120	13	leach	leach	NOUN
cana-5400	120	14	protocol	protocol	NOUN
cana-5400	120	15	,	,	PUNCT
cana-5400	120	16	a	a	DET
cana-5400	120	17	widely	widely	ADV
cana-5400	120	18	adopted	adopt	VERB
cana-5400	120	19	routing	routing	NOUN
cana-5400	120	20	protocol	protocol	NOUN
cana-5400	120	21	in	in	ADP
cana-5400	120	22	wsns	wsns	NOUN
cana-5400	120	23	,	,	PUNCT
cana-5400	120	24	and	and	CCONJ
cana-5400	120	25	includes	include	VERB
cana-5400	120	26	instances	instance	NOUN
cana-5400	120	27	of	of	ADP
cana-5400	120	28	four	four	NUM
cana-5400	120	29	types	type	NOUN
cana-5400	120	30	of	of	ADP
cana-5400	120	31	dos	do	NOUN
cana-5400	120	32	attacks	attack	NOUN
cana-5400	120	33	(	(	PUNCT
cana-5400	120	34	blackhole	blackhole	NOUN
cana-5400	120	35	,	,	PUNCT
cana-5400	120	36	grayhole	grayhole	NOUN
cana-5400	120	37	,	,	PUNCT
cana-5400	120	38	flooding	flooding	NOUN
cana-5400	120	39	,	,	PUNCT
cana-5400	120	40	and	and	CCONJ
cana-5400	120	41	scheduling	scheduling	NOUN
cana-5400	120	42	)	)	PUNCT
cana-5400	120	43	as	as	ADV
cana-5400	120	44	well	well	ADV
cana-5400	120	45	as	as	ADP
cana-5400	120	46	normal	normal	ADJ
cana-5400	120	47	network	network	NOUN
cana-5400	120	48	behavior	behavior	NOUN
cana-5400	120	49	scenarios	scenario	NOUN
cana-5400	120	50	.	.	PUNCT
cana-5400	121	1	3.2	3.2	NUM
cana-5400	121	2	data	datum	NOUN
cana-5400	121	3	preprocessing	preprocessing	NOUN
cana-5400	121	4	in	in	ADP
cana-5400	121	5	this	this	DET
cana-5400	121	6	section	section	NOUN
cana-5400	121	7	,	,	PUNCT
cana-5400	121	8	we	we	PRON
cana-5400	121	9	describe	describe	VERB
cana-5400	121	10	the	the	DET
cana-5400	121	11	key	key	ADJ
cana-5400	121	12	data	datum	NOUN
cana-5400	121	13	preprocessing	preprocessing	NOUN
cana-5400	121	14	steps	step	NOUN
cana-5400	121	15	we	we	PRON
cana-5400	121	16	have	have	AUX
cana-5400	121	17	applied	apply	VERB
cana-5400	121	18	to	to	ADP
cana-5400	121	19	our	our	PRON
cana-5400	121	20	dataset	dataset	NOUN
cana-5400	121	21	.	.	PUNCT
cana-5400	122	1	1	1	X
cana-5400	122	2	.	.	X
cana-5400	122	3	standardization	standardization	NOUN
cana-5400	122	4	:	:	PUNCT
cana-5400	122	5	it	it	PRON
cana-5400	122	6	is	be	AUX
cana-5400	122	7	the	the	DET
cana-5400	122	8	process	process	NOUN
cana-5400	122	9	of	of	ADP
cana-5400	122	10	transforming	transform	VERB
cana-5400	122	11	data	datum	NOUN
cana-5400	122	12	such	such	ADJ
cana-5400	122	13	that	that	SCONJ
cana-5400	122	14	it	it	PRON
cana-5400	122	15	has	have	VERB
cana-5400	122	16	a	a	DET
cana-5400	122	17	mean	mean	NOUN
cana-5400	122	18	of	of	ADP
cana-5400	122	19	0	0	NUM
cana-5400	122	20	and	and	CCONJ
cana-5400	122	21	a	a	DET
cana-5400	122	22	standard	standard	ADJ
cana-5400	122	23	deviation	deviation	NOUN
cana-5400	122	24	of	of	ADP
cana-5400	122	25	1	1	NUM
cana-5400	122	26	.	.	PUNCT
cana-5400	123	1	this	this	DET
cana-5400	123	2	step	step	NOUN
cana-5400	123	3	is	be	AUX
cana-5400	123	4	essential	essential	ADJ
cana-5400	123	5	when	when	SCONJ
cana-5400	123	6	dealing	deal	VERB
cana-5400	123	7	with	with	ADP
cana-5400	123	8	features	feature	NOUN
cana-5400	123	9	that	that	PRON
cana-5400	123	10	have	have	VERB
cana-5400	123	11	different	different	ADJ
cana-5400	123	12	scales	scale	NOUN
cana-5400	123	13	or	or	CCONJ
cana-5400	123	14	units	unit	NOUN
cana-5400	123	15	.	.	PUNCT
cana-5400	124	1	in	in	ADP
cana-5400	124	2	wsn	wsn	PROPN
cana-5400	124	3	intrusion	intrusion	NOUN
cana-5400	124	4	detection	detection	NOUN
cana-5400	124	5	,	,	PUNCT
cana-5400	124	6	sensor	sensor	NOUN
cana-5400	124	7	data	datum	NOUN
cana-5400	124	8	may	may	AUX
cana-5400	124	9	have	have	VERB
cana-5400	124	10	varying	vary	VERB
cana-5400	124	11	measurement	measurement	NOUN
cana-5400	124	12	units	unit	NOUN
cana-5400	124	13	and	and	CCONJ
cana-5400	124	14	scales	scale	NOUN
cana-5400	124	15	.	.	PUNCT
cana-5400	125	1	standardization	standardization	NOUN
cana-5400	125	2	helps	help	VERB
cana-5400	125	3	in	in	ADP
cana-5400	125	4	bringing	bring	VERB
cana-5400	125	5	all	all	DET
cana-5400	125	6	features	feature	NOUN
cana-5400	125	7	to	to	ADP
cana-5400	125	8	a	a	DET
cana-5400	125	9	common	common	ADJ
cana-5400	125	10	scale	scale	NOUN
cana-5400	125	11	,	,	PUNCT
cana-5400	125	12	which	which	PRON
cana-5400	125	13	is	be	AUX
cana-5400	125	14	important	important	ADJ
cana-5400	125	15	for	for	ADP
cana-5400	125	16	machine	machine	NOUN
cana-5400	125	17	learning	learning	NOUN
cana-5400	125	18	algorithms	algorithm	NOUN
cana-5400	125	19	that	that	PRON
cana-5400	125	20	rely	rely	VERB
cana-5400	125	21	on	on	ADP
cana-5400	125	22	distance	distance	NOUN
cana-5400	125	23	metrics	metric	NOUN
cana-5400	125	24	or	or	CCONJ
cana-5400	125	25	gradient	gradient	NOUN
cana-5400	125	26	-	-	PUNCT
cana-5400	125	27	based	base	VERB
cana-5400	125	28	optimization	optimization	NOUN
cana-5400	125	29	.	.	PUNCT
cana-5400	126	1	communications	communication	NOUN
cana-5400	126	2	on	on	ADP
cana-5400	126	3	applied	apply	VERB
cana-5400	126	4	nonlinear	nonlinear	ADJ
cana-5400	126	5	analysis	analysis	NOUN
cana-5400	126	6	issn	issn	NOUN
cana-5400	126	7	:	:	PUNCT
cana-5400	126	8	1074	1074	NUM
cana-5400	126	9	-	-	PUNCT
cana-5400	126	10	133x	133x	NUM
cana-5400	126	11	vol	vol	NOUN
cana-5400	126	12	32	32	NUM
cana-5400	126	13	no	no	NOUN
cana-5400	126	14	.	.	PUNCT
cana-5400	127	1	icmasd	icmasd	NOUN
cana-5400	127	2	(	(	PUNCT
cana-5400	127	3	2025	2025	NUM
cana-5400	127	4	)	)	PUNCT
cana-5400	127	5	1847	1847	NUM
cana-5400	127	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	128	1	the	the	DET
cana-5400	128	2	formula	formula	NOUN
cana-5400	128	3	for	for	ADP
cana-5400	128	4	standardization	standardization	NOUN
cana-5400	128	5	is	be	AUX
cana-5400	128	6	as	as	SCONJ
cana-5400	128	7	follows	follow	VERB
cana-5400	128	8	:	:	PUNCT
cana-5400	128	9	xstandardized	xstandardize	VERB
cana-5400	128	10	=	=	PUNCT
cana-5400	129	1	x	x	SYM
cana-5400	129	2	−	−	PROPN
cana-5400	129	3	µ	µ	X
cana-5400	129	4	σ	σ	NUM
cana-5400	129	5	where	where	SCONJ
cana-5400	129	6	:	:	PUNCT
cana-5400	129	7	•	•	NUM
cana-5400	129	8	xstandardized	xstandardized	ADJ
cana-5400	129	9	is	be	AUX
cana-5400	129	10	the	the	DET
cana-5400	129	11	standardized	standardized	ADJ
cana-5400	129	12	value	value	NOUN
cana-5400	129	13	of	of	ADP
cana-5400	129	14	feature	feature	NOUN
cana-5400	129	15	x.	x.	NOUN
cana-5400	129	16	•	•	NOUN
cana-5400	129	17	x	x	VERB
cana-5400	129	18	is	be	AUX
cana-5400	129	19	the	the	DET
cana-5400	129	20	original	original	ADJ
cana-5400	129	21	feature	feature	NOUN
cana-5400	129	22	value	value	NOUN
cana-5400	129	23	.	.	PUNCT
cana-5400	130	1	•	•	NUM
cana-5400	130	2	µ	µ	X
cana-5400	130	3	is	be	AUX
cana-5400	130	4	the	the	DET
cana-5400	130	5	mean	mean	NOUN
cana-5400	130	6	of	of	ADP
cana-5400	130	7	the	the	DET
cana-5400	130	8	feature	feature	NOUN
cana-5400	130	9	x.	x.	NOUN
cana-5400	130	10	•	•	PROPN
cana-5400	131	1	σ	σ	PROPN
cana-5400	131	2	is	be	AUX
cana-5400	131	3	the	the	DET
cana-5400	131	4	standard	standard	ADJ
cana-5400	131	5	deviation	deviation	NOUN
cana-5400	131	6	of	of	ADP
cana-5400	131	7	the	the	DET
cana-5400	131	8	feature	feature	NOUN
cana-5400	131	9	x.	x.	NOUN
cana-5400	131	10	2	2	X
cana-5400	131	11	.	.	X
cana-5400	131	12	label	label	NOUN
cana-5400	131	13	encoding	encoding	NOUN
cana-5400	131	14	:	:	PUNCT
cana-5400	131	15	label	label	NOUN
cana-5400	131	16	encoding	encoding	NOUN
cana-5400	131	17	is	be	AUX
cana-5400	131	18	a	a	DET
cana-5400	131	19	technique	technique	NOUN
cana-5400	131	20	used	use	VERB
cana-5400	131	21	to	to	PART
cana-5400	131	22	transform	transform	VERB
cana-5400	131	23	categorical	categorical	ADJ
cana-5400	131	24	data	datum	NOUN
cana-5400	131	25	into	into	ADP
cana-5400	131	26	numerical	numerical	ADJ
cana-5400	131	27	labels	label	NOUN
cana-5400	131	28	.	.	PUNCT
cana-5400	132	1	•	•	NUM
cana-5400	132	2	binary	binary	NOUN
cana-5400	132	3	classification	classification	NOUN
cana-5400	132	4	for	for	ADP
cana-5400	132	5	binary	binary	ADJ
cana-5400	132	6	classification	classification	NOUN
cana-5400	132	7	,	,	PUNCT
cana-5400	132	8	where	where	SCONJ
cana-5400	132	9	we	we	PRON
cana-5400	132	10	have	have	VERB
cana-5400	132	11	two	two	NUM
cana-5400	132	12	classes	class	NOUN
cana-5400	132	13	,	,	PUNCT
cana-5400	132	14	”	"	PUNCT
cana-5400	132	15	normal	normal	ADJ
cana-5400	132	16	”	"	PUNCT
cana-5400	132	17	and	and	CCONJ
cana-5400	132	18	”	"	PUNCT
cana-5400	132	19	attack	attack	NOUN
cana-5400	132	20	,	,	PUNCT
cana-5400	132	21	”	"	PUNCT
cana-5400	132	22	we	we	PRON
cana-5400	132	23	perform	perform	VERB
cana-5400	132	24	label	label	NOUN
cana-5400	132	25	encoding	encoding	NOUN
cana-5400	132	26	as	as	SCONJ
cana-5400	132	27	shown	show	VERB
cana-5400	132	28	in	in	ADP
cana-5400	132	29	table	table	NOUN
cana-5400	132	30	1	1	NUM
cana-5400	132	31	:	:	PUNCT
cana-5400	132	32	table	table	NOUN
cana-5400	132	33	1	1	NUM
cana-5400	132	34	.	.	PUNCT
cana-5400	132	35	label	label	NOUN
cana-5400	132	36	encoding	encoding	NOUN
cana-5400	132	37	for	for	ADP
cana-5400	132	38	binary	binary	ADJ
cana-5400	132	39	classification	classification	NOUN
cana-5400	132	40	class	class	NOUN
cana-5400	132	41	label	label	NOUN
cana-5400	132	42	encoding	encode	VERB
cana-5400	132	43	normal	normal	ADJ
cana-5400	132	44	0	0	NUM
cana-5400	132	45	attack	attack	NOUN
cana-5400	132	46	1	1	NUM
cana-5400	132	47	3.3	3.3	NUM
cana-5400	132	48	data	datum	NOUN
cana-5400	132	49	balancing	balance	VERB
cana-5400	132	50	using	use	VERB
cana-5400	132	51	smote	smote	NOUN
cana-5400	132	52	-	-	PUNCT
cana-5400	132	53	tomeklink	tomeklink	NOUN
cana-5400	132	54	this	this	DET
cana-5400	132	55	approach	approach	NOUN
cana-5400	132	56	combines	combine	VERB
cana-5400	132	57	smote	smote	ADJ
cana-5400	132	58	and	and	CCONJ
cana-5400	132	59	tomek	tomek	PROPN
cana-5400	132	60	-	-	PUNCT
cana-5400	132	61	links	link	NOUN
cana-5400	132	62	oversampling	oversample	VERB
cana-5400	132	63	and	and	CCONJ
cana-5400	132	64	undersampling	undersampling	ADJ
cana-5400	132	65	methods	method	NOUN
cana-5400	132	66	.	.	PUNCT
cana-5400	133	1	smote	smote	NOUN
cana-5400	133	2	is	be	AUX
cana-5400	133	3	an	an	DET
cana-5400	133	4	oversampling	oversampling	ADJ
cana-5400	133	5	technique	technique	NOUN
cana-5400	133	6	and	and	CCONJ
cana-5400	133	7	a	a	DET
cana-5400	133	8	statistical	statistical	ADJ
cana-5400	133	9	method	method	NOUN
cana-5400	133	10	for	for	ADP
cana-5400	133	11	balancing	balance	VERB
cana-5400	133	12	the	the	DET
cana-5400	133	13	class	class	NOUN
cana-5400	133	14	distribution	distribution	NOUN
cana-5400	133	15	by	by	ADP
cana-5400	133	16	generating	generate	VERB
cana-5400	133	17	new	new	ADJ
cana-5400	133	18	synthetic	synthetic	ADJ
cana-5400	133	19	minority	minority	NOUN
cana-5400	133	20	class	class	NOUN
cana-5400	133	21	samples	sample	NOUN
cana-5400	133	22	.	.	PUNCT
cana-5400	134	1	this	this	DET
cana-5400	134	2	approach	approach	NOUN
cana-5400	134	3	helps	help	VERB
cana-5400	134	4	mitigate	mitigate	VERB
cana-5400	134	5	overfitting	overfitte	VERB
cana-5400	134	6	issues	issue	NOUN
cana-5400	134	7	associated	associate	VERB
cana-5400	134	8	with	with	ADP
cana-5400	134	9	random	random	ADJ
cana-5400	134	10	oversampling	oversampling	ADJ
cana-5400	134	11	methods	method	NOUN
cana-5400	134	12	and	and	CCONJ
cana-5400	134	13	has	have	AUX
cana-5400	134	14	been	be	AUX
cana-5400	134	15	widely	widely	ADV
cana-5400	134	16	adopted	adopt	VERB
cana-5400	134	17	to	to	PART
cana-5400	134	18	address	address	VERB
cana-5400	134	19	class	class	NOUN
cana-5400	134	20	imbalance	imbalance	NOUN
cana-5400	134	21	problems	problem	NOUN
cana-5400	134	22	.	.	PUNCT
cana-5400	135	1	on	on	ADP
cana-5400	135	2	the	the	DET
cana-5400	135	3	other	other	ADJ
cana-5400	135	4	hand	hand	NOUN
cana-5400	135	5	,	,	PUNCT
cana-5400	135	6	tomek	tomek	PROPN
cana-5400	135	7	-	-	PUNCT
cana-5400	135	8	links	link	NOUN
cana-5400	135	9	is	be	AUX
cana-5400	135	10	an	an	DET
cana-5400	135	11	undersampling	undersampling	ADJ
cana-5400	135	12	technique	technique	NOUN
cana-5400	135	13	designed	design	VERB
cana-5400	135	14	to	to	PART
cana-5400	135	15	remove	remove	VERB
cana-5400	135	16	instances	instance	NOUN
cana-5400	135	17	on	on	ADP
cana-5400	135	18	the	the	DET
cana-5400	135	19	”	"	PUNCT
cana-5400	135	20	tomek	tomek	PROPN
cana-5400	135	21	link	link	NOUN
cana-5400	135	22	,	,	PUNCT
cana-5400	135	23	”	"	PUNCT
cana-5400	135	24	which	which	PRON
cana-5400	135	25	are	be	AUX
cana-5400	135	26	pairs	pair	NOUN
cana-5400	135	27	of	of	ADP
cana-5400	135	28	data	datum	NOUN
cana-5400	135	29	points	point	NOUN
cana-5400	135	30	from	from	ADP
cana-5400	135	31	different	different	ADJ
cana-5400	135	32	classes	class	NOUN
cana-5400	135	33	that	that	PRON
cana-5400	135	34	are	be	AUX
cana-5400	135	35	close	close	ADJ
cana-5400	135	36	to	to	ADP
cana-5400	135	37	each	each	DET
cana-5400	135	38	other	other	ADJ
cana-5400	135	39	in	in	ADP
cana-5400	135	40	the	the	DET
cana-5400	135	41	dataset	dataset	NOUN
cana-5400	135	42	.	.	PUNCT
cana-5400	136	1	removing	remove	VERB
cana-5400	136	2	these	these	DET
cana-5400	136	3	pairs	pair	NOUN
cana-5400	136	4	helps	help	VERB
cana-5400	136	5	separate	separate	ADJ
cana-5400	136	6	minority	minority	NOUN
cana-5400	136	7	and	and	CCONJ
cana-5400	136	8	majority	majority	NOUN
cana-5400	136	9	classes	class	NOUN
cana-5400	136	10	,	,	PUNCT
cana-5400	136	11	reducing	reduce	VERB
cana-5400	136	12	noise	noise	NOUN
cana-5400	136	13	in	in	ADP
cana-5400	136	14	the	the	DET
cana-5400	136	15	majority	majority	NOUN
cana-5400	136	16	class	class	NOUN
cana-5400	136	17	.	.	PUNCT
cana-5400	137	1	by	by	ADP
cana-5400	137	2	combining	combine	VERB
cana-5400	137	3	the	the	DET
cana-5400	137	4	smote	smote	NOUN
cana-5400	137	5	and	and	CCONJ
cana-5400	137	6	tomek	tomek	PROPN
cana-5400	137	7	-	-	PUNCT
cana-5400	137	8	links	link	NOUN
cana-5400	137	9	(	(	PUNCT
cana-5400	137	10	stl	stl	PROPN
cana-5400	137	11	)	)	PUNCT
cana-5400	137	12	,	,	PUNCT
cana-5400	137	13	the	the	DET
cana-5400	137	14	study	study	NOUN
cana-5400	137	15	aims	aim	VERB
cana-5400	137	16	to	to	PART
cana-5400	137	17	effectively	effectively	ADV
cana-5400	137	18	tackle	tackle	VERB
cana-5400	137	19	the	the	DET
cana-5400	137	20	imbalanced	imbalanced	ADJ
cana-5400	137	21	class	class	NOUN
cana-5400	137	22	problem	problem	NOUN
cana-5400	137	23	in	in	ADP
cana-5400	137	24	wsn	wsn	PROPN
cana-5400	137	25	data	data	PROPN
cana-5400	137	26	,	,	PUNCT
cana-5400	137	27	providing	provide	VERB
cana-5400	137	28	a	a	DET
cana-5400	137	29	balanced	balanced	ADJ
cana-5400	137	30	dataset	dataset	NOUN
cana-5400	137	31	for	for	ADP
cana-5400	137	32	more	more	ADV
cana-5400	137	33	accurate	accurate	ADJ
cana-5400	137	34	intrusion	intrusion	NOUN
cana-5400	137	35	detection	detection	NOUN
cana-5400	137	36	.	.	PUNCT
cana-5400	138	1	this	this	DET
cana-5400	138	2	strategy	strategy	NOUN
cana-5400	138	3	enhances	enhance	VERB
cana-5400	138	4	class	class	NOUN
cana-5400	138	5	separation	separation	NOUN
cana-5400	138	6	,	,	PUNCT
cana-5400	138	7	stabilizes	stabilize	VERB
cana-5400	138	8	data	datum	NOUN
cana-5400	138	9	distribution	distribution	NOUN
cana-5400	138	10	,	,	PUNCT
cana-5400	138	11	and	and	CCONJ
cana-5400	138	12	ultimately	ultimately	ADV
cana-5400	138	13	improves	improve	VERB
cana-5400	138	14	the	the	DET
cana-5400	138	15	performance	performance	NOUN
cana-5400	138	16	of	of	ADP
cana-5400	138	17	intrusion	intrusion	NOUN
cana-5400	138	18	detection	detection	NOUN
cana-5400	138	19	systems	system	NOUN
cana-5400	138	20	in	in	ADP
cana-5400	138	21	the	the	DET
cana-5400	138	22	context	context	NOUN
cana-5400	138	23	of	of	ADP
cana-5400	138	24	wsns	wsns	NOUN
cana-5400	138	25	.	.	PUNCT
cana-5400	139	1	now	now	ADV
cana-5400	139	2	,	,	PUNCT
cana-5400	139	3	in	in	ADP
cana-5400	139	4	this	this	DET
cana-5400	139	5	case	case	NOUN
cana-5400	139	6	of	of	ADP
cana-5400	139	7	binary	binary	ADJ
cana-5400	139	8	classification	classification	NOUN
cana-5400	139	9	,	,	PUNCT
cana-5400	139	10	distribution	distribution	NOUN
cana-5400	139	11	of	of	ADP
cana-5400	139	12	classes	class	NOUN
cana-5400	139	13	without	without	ADP
cana-5400	139	14	and	and	CCONJ
cana-5400	139	15	with	with	ADP
cana-5400	139	16	smote	smote	ADJ
cana-5400	139	17	-	-	PUNCT
cana-5400	139	18	tomek	tomek	PROPN
cana-5400	139	19	-	-	PUNCT
cana-5400	139	20	link	link	NOUN
cana-5400	139	21	is	be	AUX
cana-5400	139	22	shown	show	VERB
cana-5400	139	23	in	in	ADP
cana-5400	139	24	the	the	DET
cana-5400	139	25	table	table	NOUN
cana-5400	139	26	below	below	ADV
cana-5400	139	27	:	:	PUNCT
cana-5400	139	28	table	table	NOUN
cana-5400	139	29	2	2	NUM
cana-5400	139	30	.	.	PUNCT
cana-5400	139	31	binary	binary	ADJ
cana-5400	139	32	classification	classification	NOUN
cana-5400	139	33	class	class	NOUN
cana-5400	139	34	distribution	distribution	NOUN
cana-5400	139	35	class	class	NOUN
cana-5400	139	36	wostl	wostl	PROPN
cana-5400	139	37	wistl	wistl	NOUN
cana-5400	139	38	normal	normal	ADJ
cana-5400	139	39	340,066	340,066	NUM
cana-5400	139	40	340,056	340,056	NUM
cana-5400	139	41	attack	attack	NOUN
cana-5400	139	42	34,595	34,595	NUM
cana-5400	139	43	339,610	339,610	NUM
cana-5400	139	44	communications	communication	NOUN
cana-5400	139	45	on	on	ADP
cana-5400	139	46	applied	apply	VERB
cana-5400	139	47	nonlinear	nonlinear	ADJ
cana-5400	139	48	analysis	analysis	NOUN
cana-5400	139	49	issn	issn	NOUN
cana-5400	139	50	:	:	PUNCT
cana-5400	139	51	1074	1074	NUM
cana-5400	139	52	-	-	PUNCT
cana-5400	139	53	133x	133x	NUM
cana-5400	139	54	vol	vol	NOUN
cana-5400	139	55	32	32	NUM
cana-5400	139	56	no	no	NOUN
cana-5400	139	57	.	.	PUNCT
cana-5400	140	1	icmasd	icmasd	NOUN
cana-5400	140	2	(	(	PUNCT
cana-5400	140	3	2025	2025	NUM
cana-5400	140	4	)	)	PUNCT
cana-5400	140	5	1848	1848	NUM
cana-5400	141	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	141	2	3.4	3.4	NUM
cana-5400	141	3	machine	machine	NOUN
cana-5400	141	4	learning	learn	VERB
cana-5400	141	5	algorithms	algorithm	NOUN
cana-5400	141	6	used	use	VERB
cana-5400	141	7	in	in	ADP
cana-5400	141	8	the	the	DET
cana-5400	141	9	proposed	propose	VERB
cana-5400	141	10	approach	approach	NOUN
cana-5400	141	11	•	•	NUM
cana-5400	141	12	decision	decision	NOUN
cana-5400	141	13	trees	tree	NOUN
cana-5400	141	14	(	(	PUNCT
cana-5400	141	15	dt	dt	ADJ
cana-5400	141	16	):	):	PUNCT
cana-5400	141	17	decision	decision	NOUN
cana-5400	141	18	trees	tree	NOUN
cana-5400	141	19	are	be	AUX
cana-5400	141	20	versatile	versatile	ADJ
cana-5400	141	21	tools	tool	NOUN
cana-5400	141	22	widely	widely	ADV
cana-5400	141	23	applied	apply	VERB
cana-5400	141	24	in	in	ADP
cana-5400	141	25	various	various	ADJ
cana-5400	141	26	domains	domain	NOUN
cana-5400	141	27	,	,	PUNCT
cana-5400	141	28	including	include	VERB
cana-5400	141	29	machine	machine	NOUN
cana-5400	141	30	learning	learning	NOUN
cana-5400	141	31	,	,	PUNCT
cana-5400	141	32	image	image	NOUN
cana-5400	141	33	processing	processing	NOUN
cana-5400	141	34	,	,	PUNCT
cana-5400	141	35	and	and	CCONJ
cana-5400	141	36	pattern	pattern	NOUN
cana-5400	141	37	recognition	recognition	NOUN
cana-5400	141	38	.	.	PUNCT
cana-5400	142	1	a	a	DET
cana-5400	142	2	decision	decision	NOUN
cana-5400	142	3	tree	tree	NOUN
cana-5400	142	4	comprises	comprise	VERB
cana-5400	142	5	essential	essential	ADJ
cana-5400	142	6	components	component	NOUN
cana-5400	142	7	:	:	PUNCT
cana-5400	142	8	the	the	DET
cana-5400	142	9	root	root	NOUN
cana-5400	142	10	node	node	NOUN
cana-5400	142	11	,	,	PUNCT
cana-5400	142	12	branches	branch	NOUN
cana-5400	142	13	,	,	PUNCT
cana-5400	142	14	and	and	CCONJ
cana-5400	142	15	leaf	leaf	NOUN
cana-5400	142	16	nodes	node	NOUN
cana-5400	142	17	.	.	PUNCT
cana-5400	143	1	the	the	DET
cana-5400	143	2	root	root	NOUN
cana-5400	143	3	node	node	NOUN
cana-5400	143	4	represents	represent	VERB
cana-5400	143	5	the	the	DET
cana-5400	143	6	entire	entire	ADJ
cana-5400	143	7	dataset	dataset	NOUN
cana-5400	143	8	,	,	PUNCT
cana-5400	143	9	which	which	PRON
cana-5400	143	10	is	be	AUX
cana-5400	143	11	partitioned	partition	VERB
cana-5400	143	12	into	into	ADP
cana-5400	143	13	homogenous	homogenous	ADJ
cana-5400	143	14	subsets	subset	NOUN
cana-5400	143	15	.	.	PUNCT
cana-5400	144	1	branches	branch	NOUN
cana-5400	144	2	represent	represent	VERB
cana-5400	144	3	combinations	combination	NOUN
cana-5400	144	4	of	of	ADP
cana-5400	144	5	attributes	attribute	NOUN
cana-5400	144	6	,	,	PUNCT
cana-5400	144	7	while	while	SCONJ
cana-5400	144	8	leaf	leaf	NOUN
cana-5400	144	9	nodes	node	NOUN
cana-5400	144	10	mark	mark	VERB
cana-5400	144	11	the	the	DET
cana-5400	144	12	end	end	NOUN
cana-5400	144	13	of	of	ADP
cana-5400	144	14	the	the	DET
cana-5400	144	15	decision	decision	NOUN
cana-5400	144	16	-	-	PUNCT
cana-5400	144	17	making	make	VERB
cana-5400	144	18	process	process	NOUN
cana-5400	144	19	[	[	X
cana-5400	144	20	21	21	NUM
cana-5400	144	21	]	]	PUNCT
cana-5400	144	22	.	.	PUNCT
cana-5400	145	1	•	•	NUM
cana-5400	145	2	random	random	ADJ
cana-5400	145	3	forest	forest	NOUN
cana-5400	145	4	(	(	PUNCT
cana-5400	145	5	rf	rf	ADJ
cana-5400	145	6	):	):	PUNCT
cana-5400	145	7	random	random	ADJ
cana-5400	145	8	forest	forest	NOUN
cana-5400	145	9	,	,	PUNCT
cana-5400	145	10	a	a	DET
cana-5400	145	11	meta	meta	ADJ
cana-5400	145	12	-	-	PUNCT
cana-5400	145	13	approximation	approximation	NOUN
cana-5400	145	14	technique	technique	NOUN
cana-5400	145	15	,	,	PUNCT
cana-5400	145	16	enhances	enhance	VERB
cana-5400	145	17	accuracy	accuracy	NOUN
cana-5400	145	18	through	through	ADP
cana-5400	145	19	averaging	average	VERB
cana-5400	145	20	.	.	PUNCT
cana-5400	146	1	it	it	PRON
cana-5400	146	2	prevents	prevent	VERB
cana-5400	146	3	overfitting	overfitte	VERB
cana-5400	146	4	by	by	ADP
cana-5400	146	5	fitting	fitting	ADJ
cana-5400	146	6	multiple	multiple	ADJ
cana-5400	146	7	decision	decision	NOUN
cana-5400	146	8	tree	tree	NOUN
cana-5400	146	9	classifiers	classifier	NOUN
cana-5400	146	10	to	to	ADP
cana-5400	146	11	various	various	ADJ
cana-5400	146	12	subsets	subset	NOUN
cana-5400	146	13	of	of	ADP
cana-5400	146	14	the	the	DET
cana-5400	146	15	dataset	dataset	NOUN
cana-5400	146	16	.	.	PUNCT
cana-5400	147	1	each	each	DET
cana-5400	147	2	subset	subset	NOUN
cana-5400	147	3	is	be	AUX
cana-5400	147	4	chosen	choose	VERB
cana-5400	147	5	independently	independently	ADV
cana-5400	147	6	from	from	ADP
cana-5400	147	7	the	the	DET
cana-5400	147	8	feature	feature	NOUN
cana-5400	147	9	space	space	NOUN
cana-5400	147	10	,	,	PUNCT
cana-5400	147	11	resulting	result	VERB
cana-5400	147	12	in	in	ADP
cana-5400	147	13	a	a	DET
cana-5400	147	14	set	set	NOUN
cana-5400	147	15	of	of	ADP
cana-5400	147	16	uncorrelated	uncorrelated	ADJ
cana-5400	147	17	decision	decision	NOUN
cana-5400	147	18	trees	tree	NOUN
cana-5400	147	19	derived	derive	VERB
cana-5400	147	20	from	from	ADP
cana-5400	147	21	different	different	ADJ
cana-5400	147	22	training	training	NOUN
cana-5400	147	23	data	datum	NOUN
cana-5400	147	24	points	point	NOUN
cana-5400	147	25	.	.	PUNCT
cana-5400	148	1	each	each	DET
cana-5400	148	2	tree	tree	NOUN
cana-5400	148	3	predicts	predict	VERB
cana-5400	148	4	a	a	DET
cana-5400	148	5	class	class	NOUN
cana-5400	148	6	,	,	PUNCT
cana-5400	148	7	and	and	CCONJ
cana-5400	148	8	the	the	DET
cana-5400	148	9	majority	majority	NOUN
cana-5400	148	10	vote	vote	NOUN
cana-5400	148	11	among	among	ADP
cana-5400	148	12	the	the	DET
cana-5400	148	13	trees	tree	NOUN
cana-5400	148	14	determines	determine	VERB
cana-5400	148	15	the	the	DET
cana-5400	148	16	model	model	NOUN
cana-5400	148	17	’s	’s	PART
cana-5400	148	18	prediction	prediction	NOUN
cana-5400	149	1	[	[	X
cana-5400	149	2	22	22	NUM
cana-5400	149	3	]	]	PUNCT
cana-5400	149	4	.	.	PUNCT
cana-5400	150	1	•	•	NUM
cana-5400	150	2	k	k	X
cana-5400	150	3	-	-	PUNCT
cana-5400	150	4	nearest	near	ADJ
cana-5400	150	5	neighbour	neighbour	NOUN
cana-5400	150	6	(	(	PUNCT
cana-5400	150	7	knn	knn	PROPN
cana-5400	150	8	):	):	PUNCT
cana-5400	150	9	k	k	ADJ
cana-5400	150	10	-	-	PUNCT
cana-5400	150	11	nearest	near	ADJ
cana-5400	150	12	neighbour	neighbour	NOUN
cana-5400	150	13	is	be	AUX
cana-5400	150	14	a	a	DET
cana-5400	150	15	simple	simple	ADJ
cana-5400	150	16	yet	yet	CCONJ
cana-5400	150	17	effective	effective	ADJ
cana-5400	150	18	supervised	supervised	ADJ
cana-5400	150	19	machine	machine	NOUN
cana-5400	150	20	learning	learn	VERB
cana-5400	150	21	algorithm	algorithm	NOUN
cana-5400	150	22	for	for	ADP
cana-5400	150	23	classification	classification	NOUN
cana-5400	150	24	and	and	CCONJ
cana-5400	150	25	regression	regression	NOUN
cana-5400	150	26	tasks	task	NOUN
cana-5400	150	27	.	.	PUNCT
cana-5400	151	1	it	it	PRON
cana-5400	151	2	operates	operate	VERB
cana-5400	151	3	on	on	ADP
cana-5400	151	4	the	the	DET
cana-5400	151	5	principle	principle	NOUN
cana-5400	151	6	of	of	ADP
cana-5400	151	7	proximity	proximity	NOUN
cana-5400	151	8	,	,	PUNCT
cana-5400	151	9	classifying	classify	VERB
cana-5400	151	10	data	datum	NOUN
cana-5400	151	11	points	point	NOUN
cana-5400	151	12	based	base	VERB
cana-5400	151	13	on	on	ADP
cana-5400	151	14	the	the	DET
cana-5400	151	15	majority	majority	NOUN
cana-5400	151	16	class	class	NOUN
cana-5400	151	17	among	among	ADP
cana-5400	151	18	their	their	PRON
cana-5400	151	19	nearest	near	ADJ
cana-5400	151	20	neighbors	neighbor	NOUN
cana-5400	151	21	.	.	PUNCT
cana-5400	152	1	knn	knn	PROPN
cana-5400	152	2	’s	’s	PART
cana-5400	152	3	flexibility	flexibility	NOUN
cana-5400	152	4	allows	allow	VERB
cana-5400	152	5	it	it	PRON
cana-5400	152	6	to	to	PART
cana-5400	152	7	adapt	adapt	VERB
cana-5400	152	8	to	to	ADP
cana-5400	152	9	various	various	ADJ
cana-5400	152	10	data	datum	NOUN
cana-5400	152	11	distributions	distribution	NOUN
cana-5400	152	12	,	,	PUNCT
cana-5400	152	13	making	make	VERB
cana-5400	152	14	it	it	PRON
cana-5400	152	15	a	a	DET
cana-5400	152	16	valuable	valuable	ADJ
cana-5400	152	17	choice	choice	NOUN
cana-5400	152	18	for	for	ADP
cana-5400	152	19	both	both	CCONJ
cana-5400	152	20	simple	simple	ADJ
cana-5400	152	21	and	and	CCONJ
cana-5400	152	22	complex	complex	ADJ
cana-5400	152	23	datasets	dataset	NOUN
cana-5400	152	24	.	.	PUNCT
cana-5400	153	1	4	4	NUM
cana-5400	153	2	results	result	NOUN
cana-5400	153	3	and	and	CCONJ
cana-5400	153	4	discussion	discussion	NOUN
cana-5400	153	5	4.1	4.1	NUM
cana-5400	153	6	experimental	experimental	ADJ
cana-5400	153	7	setup	setup	NOUN
cana-5400	153	8	the	the	DET
cana-5400	153	9	experiments	experiment	NOUN
cana-5400	153	10	are	be	AUX
cana-5400	153	11	carried	carry	VERB
cana-5400	153	12	out	out	ADP
cana-5400	153	13	on	on	ADP
cana-5400	153	14	a	a	DET
cana-5400	153	15	system	system	NOUN
cana-5400	153	16	running	run	VERB
cana-5400	153	17	microsoft	microsoft	PROPN
cana-5400	153	18	windows	windows	PROPN
cana-5400	153	19	10	10	NUM
cana-5400	153	20	,	,	PUNCT
cana-5400	153	21	which	which	PRON
cana-5400	153	22	is	be	AUX
cana-5400	153	23	equipped	equip	VERB
cana-5400	153	24	with	with	ADP
cana-5400	153	25	an	an	DET
cana-5400	153	26	intel(r	intel(r	NOUN
cana-5400	153	27	)	)	PUNCT
cana-5400	153	28	core(tm	core(tm	NOUN
cana-5400	153	29	)	)	PUNCT
cana-5400	153	30	i5	i5	NOUN
cana-5400	153	31	operating	operate	VERB
cana-5400	153	32	at	at	ADP
cana-5400	153	33	1.90ghz	1.90ghz	NUM
cana-5400	153	34	,	,	PUNCT
cana-5400	153	35	complemented	complement	VERB
cana-5400	153	36	by	by	ADP
cana-5400	153	37	a	a	DET
cana-5400	153	38	500	500	NUM
cana-5400	153	39	gb	gb	NOUN
cana-5400	153	40	ssd	ssd	NOUN
cana-5400	153	41	and	and	CCONJ
cana-5400	153	42	8	8	NUM
cana-5400	153	43	gb	gb	NOUN
cana-5400	153	44	of	of	ADP
cana-5400	153	45	ram	ram	NOUN
cana-5400	153	46	.	.	PUNCT
cana-5400	154	1	the	the	DET
cana-5400	154	2	implementation	implementation	NOUN
cana-5400	154	3	of	of	ADP
cana-5400	154	4	the	the	DET
cana-5400	154	5	proposed	propose	VERB
cana-5400	154	6	model	model	NOUN
cana-5400	154	7	was	be	AUX
cana-5400	154	8	done	do	VERB
cana-5400	154	9	using	use	VERB
cana-5400	154	10	the	the	DET
cana-5400	154	11	python	python	NOUN
cana-5400	154	12	programming	programming	NOUN
cana-5400	154	13	language	language	NOUN
cana-5400	154	14	,	,	PUNCT
cana-5400	154	15	making	make	VERB
cana-5400	154	16	use	use	NOUN
cana-5400	154	17	of	of	ADP
cana-5400	154	18	a	a	DET
cana-5400	154	19	selection	selection	NOUN
cana-5400	154	20	of	of	ADP
cana-5400	154	21	commonly	commonly	ADV
cana-5400	154	22	utilized	utilize	VERB
cana-5400	154	23	libraries	library	NOUN
cana-5400	154	24	,	,	PUNCT
cana-5400	154	25	including	include	VERB
cana-5400	154	26	pandas	panda	NOUN
cana-5400	154	27	,	,	PUNCT
cana-5400	154	28	numpy	numpy	NOUN
cana-5400	154	29	,	,	PUNCT
cana-5400	154	30	matplotlib	matplotlib	PROPN
cana-5400	154	31	,	,	PUNCT
cana-5400	154	32	seaborn	seaborn	PROPN
cana-5400	154	33	,	,	PUNCT
cana-5400	154	34	tensorflow	tensorflow	PROPN
cana-5400	154	35	,	,	PUNCT
cana-5400	154	36	keras	keras	PROPN
cana-5400	154	37	,	,	PUNCT
cana-5400	154	38	scikit	scikit	NOUN
cana-5400	154	39	-	-	PUNCT
cana-5400	154	40	learn	learn	VERB
cana-5400	154	41	,	,	PUNCT
cana-5400	154	42	and	and	CCONJ
cana-5400	154	43	others	other	NOUN
cana-5400	154	44	.	.	PUNCT
cana-5400	155	1	4.2	4.2	NUM
cana-5400	155	2	performance	performance	NOUN
cana-5400	155	3	evaluation	evaluation	NOUN
cana-5400	155	4	metrics	metric	NOUN
cana-5400	155	5	the	the	DET
cana-5400	155	6	evaluation	evaluation	NOUN
cana-5400	155	7	of	of	ADP
cana-5400	155	8	our	our	PRON
cana-5400	155	9	proposed	propose	VERB
cana-5400	155	10	model	model	NOUN
cana-5400	155	11	involved	involve	VERB
cana-5400	155	12	the	the	DET
cana-5400	155	13	utilization	utilization	NOUN
cana-5400	155	14	of	of	ADP
cana-5400	155	15	multiple	multiple	ADJ
cana-5400	155	16	performance	performance	NOUN
cana-5400	155	17	metrics	metric	NOUN
cana-5400	155	18	to	to	PART
cana-5400	155	19	assess	assess	VERB
cana-5400	155	20	its	its	PRON
cana-5400	155	21	effectiveness	effectiveness	NOUN
cana-5400	155	22	.	.	PUNCT
cana-5400	156	1	these	these	DET
cana-5400	156	2	metrics	metric	NOUN
cana-5400	156	3	are	be	AUX
cana-5400	156	4	defined	define	VERB
cana-5400	156	5	as	as	SCONJ
cana-5400	156	6	follows	follow	VERB
cana-5400	156	7	:	:	PUNCT
cana-5400	156	8	•	•	NUM
cana-5400	156	9	confusion	confusion	NOUN
cana-5400	156	10	matrix	matrix	NOUN
cana-5400	156	11	:	:	PUNCT
cana-5400	156	12	table	table	NOUN
cana-5400	156	13	3	3	NUM
cana-5400	156	14	shows	show	VERB
cana-5400	156	15	the	the	DET
cana-5400	156	16	confusion	confusion	NOUN
cana-5400	156	17	matrix	matrix	NOUN
cana-5400	156	18	where	where	SCONJ
cana-5400	156	19	tp	tp	NOUN
cana-5400	156	20	represents	represent	VERB
cana-5400	156	21	true	true	ADJ
cana-5400	156	22	positive	positive	ADJ
cana-5400	156	23	,	,	PUNCT
cana-5400	156	24	tn	tn	PROPN
cana-5400	156	25	represents	represent	VERB
cana-5400	156	26	true	true	ADJ
cana-5400	156	27	negative	negative	ADJ
cana-5400	156	28	,	,	PUNCT
cana-5400	156	29	fp	fp	X
cana-5400	156	30	stands	stand	VERB
cana-5400	156	31	for	for	ADP
cana-5400	156	32	false	false	ADJ
cana-5400	156	33	positive	positive	ADJ
cana-5400	156	34	,	,	PUNCT
cana-5400	156	35	and	and	CCONJ
cana-5400	156	36	fn	fn	NOUN
cana-5400	156	37	denotes	denote	NOUN
cana-5400	156	38	false	false	ADJ
cana-5400	156	39	negative	negative	ADJ
cana-5400	156	40	.	.	PUNCT
cana-5400	157	1	•	•	NUM
cana-5400	157	2	accuracy	accuracy	NOUN
cana-5400	157	3	:	:	PUNCT
cana-5400	157	4	it	it	PRON
cana-5400	157	5	is	be	AUX
cana-5400	157	6	defined	define	VERB
cana-5400	157	7	as	as	ADP
cana-5400	157	8	accuracy	accuracy	NOUN
cana-5400	157	9	=	=	PUNCT
cana-5400	158	1	_	_	PUNCT
cana-5400	159	1	_	_	PUNCT
cana-5400	160	1	_	_	PUNCT
cana-5400	161	1	_	_	PUNCT
cana-5400	162	1	_	_	PUNCT
cana-5400	163	1	_	_	PUNCT
cana-5400	163	2	tp	tp	ADP
cana-5400	163	3	+	+	CCONJ
cana-5400	163	4	tn	tn	NOUN
cana-5400	164	1	_	_	NOUN
cana-5400	164	2	_	_	PUNCT
cana-5400	165	1	_	_	PUNCT
cana-5400	166	1	_	_	PUNCT
cana-5400	167	1	_	_	PUNCT
cana-5400	168	1	_	_	PUNCT
cana-5400	169	1	_	_	PUNCT
cana-5400	170	1	t	t	X
cana-5400	171	1	p	p	NOUN
cana-5400	172	1	+	+	NOUN
cana-5400	172	2	f	f	PROPN
cana-5400	173	1	p	p	X
cana-5400	174	1	+	+	CCONJ
cana-5400	174	2	f	f	PROPN
cana-5400	174	3	n	n	PROPN
cana-5400	174	4	+	+	SYM
cana-5400	174	5	t	t	PROPN
cana-5400	174	6	n	n	CCONJ
cana-5400	174	7	(	(	PUNCT
cana-5400	174	8	1	1	NUM
cana-5400	174	9	)	)	PUNCT
cana-5400	174	10	•	•	NUM
cana-5400	174	11	precision	precision	NOUN
cana-5400	174	12	:	:	PUNCT
cana-5400	174	13	it	it	PRON
cana-5400	174	14	is	be	AUX
cana-5400	174	15	defined	define	VERB
cana-5400	174	16	as	as	ADP
cana-5400	174	17	precision	precision	NOUN
cana-5400	174	18	=	=	PUNCT
cana-5400	175	1	_	_	PUNCT
cana-5400	176	1	_	_	PUNCT
cana-5400	177	1	_	_	PUNCT
cana-5400	178	1	_	_	PUNCT
cana-5400	179	1	_	_	PUNCT
cana-5400	179	2	tp	tp	PART
cana-5400	180	1	_	_	PUNCT
cana-5400	180	2	_	_	PUNCT
cana-5400	181	1	_	_	PUNCT
cana-5400	182	1	_	_	PUNCT
cana-5400	183	1	_	_	PUNCT
cana-5400	184	1	_	_	PUNCT
cana-5400	185	1	_	_	PUNCT
cana-5400	186	1	_	_	PUNCT
cana-5400	186	2	(	(	PUNCT
cana-5400	186	3	2	2	X
cana-5400	186	4	)	)	PUNCT
cana-5400	186	5	t	t	NOUN
cana-5400	186	6	p	p	NOUN
cana-5400	187	1	+	+	CCONJ
cana-5400	187	2	f	f	PROPN
cana-5400	187	3	p	p	NOUN
cana-5400	187	4	•	•	NUM
cana-5400	187	5	recall	recall	NOUN
cana-5400	187	6	:	:	PUNCT
cana-5400	187	7	it	it	PRON
cana-5400	187	8	is	be	AUX
cana-5400	187	9	defined	define	VERB
cana-5400	187	10	as	as	ADP
cana-5400	187	11	recall	recall	NOUN
cana-5400	187	12	=	=	PUNCT
cana-5400	188	1	_	_	PUNCT
cana-5400	189	1	_	_	PUNCT
cana-5400	190	1	_	_	PUNCT
cana-5400	191	1	_	_	PUNCT
cana-5400	192	1	_	_	PUNCT
cana-5400	192	2	tp	tp	PART
cana-5400	193	1	_	_	PUNCT
cana-5400	193	2	_	_	PUNCT
cana-5400	194	1	_	_	PUNCT
cana-5400	195	1	_	_	PUNCT
cana-5400	196	1	_	_	PUNCT
cana-5400	197	1	_	_	PUNCT
cana-5400	198	1	_	_	PUNCT
cana-5400	199	1	_	_	PUNCT
cana-5400	199	2	(	(	PUNCT
cana-5400	199	3	3	3	X
cana-5400	199	4	)	)	PUNCT
cana-5400	199	5	tp	tp	NOUN
cana-5400	199	6	+	+	CCONJ
cana-5400	199	7	fn	fn	NOUN
cana-5400	199	8	•	•	NOUN
cana-5400	199	9	f1	f1	NOUN
cana-5400	199	10	-	-	PUNCT
cana-5400	199	11	score	score	NOUN
cana-5400	199	12	:	:	PUNCT
cana-5400	199	13	it	it	PRON
cana-5400	199	14	is	be	AUX
cana-5400	199	15	defined	define	VERB
cana-5400	199	16	as	as	ADP
cana-5400	199	17	f1	f1	NOUN
cana-5400	199	18	-	-	PUNCT
cana-5400	199	19	score	score	NOUN
cana-5400	199	20	=	=	SYM
cana-5400	199	21	2	2	NUM
cana-5400	199	22	*	*	PUNCT
cana-5400	200	1	_	_	PUNCT
cana-5400	200	2	_	_	PUNCT
cana-5400	200	3	precision	precision	NOUN
cana-5400	200	4	*	*	PUNCT
cana-5400	200	5	recall	recall	VERB
cana-5400	200	6	_	_	PUNCT
cana-5400	201	1	_	_	PUNCT
cana-5400	201	2	communications	communication	NOUN
cana-5400	201	3	on	on	ADP
cana-5400	201	4	applied	apply	VERB
cana-5400	201	5	nonlinear	nonlinear	ADJ
cana-5400	201	6	analysis	analysis	NOUN
cana-5400	201	7	issn	issn	NOUN
cana-5400	201	8	:	:	PUNCT
cana-5400	201	9	1074	1074	NUM
cana-5400	201	10	-	-	PUNCT
cana-5400	201	11	133x	133x	NUM
cana-5400	201	12	vol	vol	NOUN
cana-5400	201	13	32	32	NUM
cana-5400	201	14	no	no	NOUN
cana-5400	201	15	.	.	PUNCT
cana-5400	202	1	icmasd	icmasd	NOUN
cana-5400	202	2	(	(	PUNCT
cana-5400	202	3	2025	2025	NUM
cana-5400	202	4	)	)	PUNCT
cana-5400	202	5	1849	1849	NUM
cana-5400	202	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	202	7	precision	precision	NOUN
cana-5400	202	8	+	+	CCONJ
cana-5400	202	9	recall	recall	NOUN
cana-5400	202	10	(	(	PUNCT
cana-5400	202	11	4	4	NUM
cana-5400	202	12	)	)	PUNCT
cana-5400	202	13	•	•	NOUN
cana-5400	202	14	roc	roc	PROPN
cana-5400	202	15	curves	curve	NOUN
cana-5400	202	16	are	be	AUX
cana-5400	202	17	two	two	NUM
cana-5400	202	18	-	-	PUNCT
cana-5400	202	19	dimensional	dimensional	ADJ
cana-5400	202	20	plots	plot	NOUN
cana-5400	202	21	commonly	commonly	ADV
cana-5400	202	22	employed	employ	VERB
cana-5400	202	23	for	for	ADP
cana-5400	202	24	evaluating	evaluate	VERB
cana-5400	202	25	classifier	classifier	NOUN
cana-5400	202	26	effectiveness	effectiveness	NOUN
cana-5400	202	27	.	.	PUNCT
cana-5400	203	1	an	an	DET
cana-5400	203	2	auc	auc	NOUN
cana-5400	203	3	(	(	PUNCT
cana-5400	203	4	area	area	NOUN
cana-5400	203	5	under	under	ADP
cana-5400	203	6	the	the	DET
cana-5400	203	7	curve	curve	NOUN
cana-5400	203	8	)	)	PUNCT
cana-5400	203	9	value	value	NOUN
cana-5400	203	10	approaching	approach	VERB
cana-5400	203	11	1	1	NUM
cana-5400	203	12	indicates	indicate	VERB
cana-5400	203	13	strong	strong	ADJ
cana-5400	203	14	class	class	NOUN
cana-5400	203	15	separability	separability	NOUN
cana-5400	203	16	,	,	PUNCT
cana-5400	203	17	while	while	SCONJ
cana-5400	203	18	an	an	DET
cana-5400	203	19	auc	auc	NOUN
cana-5400	203	20	value	value	NOUN
cana-5400	203	21	approaching	approach	VERB
cana-5400	203	22	0	0	NUM
cana-5400	203	23	indicates	indicate	VERB
cana-5400	203	24	suboptimal	suboptimal	ADJ
cana-5400	203	25	performance	performance	NOUN
cana-5400	203	26	.	.	PUNCT
cana-5400	204	1	4.3	4.3	NUM
cana-5400	204	2	result	result	VERB
cana-5400	204	3	analysis	analysis	NOUN
cana-5400	204	4	in	in	ADP
cana-5400	204	5	the	the	DET
cana-5400	204	6	binary	binary	ADJ
cana-5400	204	7	results	result	NOUN
cana-5400	204	8	analysis	analysis	NOUN
cana-5400	204	9	,	,	PUNCT
cana-5400	204	10	we	we	PRON
cana-5400	204	11	evaluated	evaluate	VERB
cana-5400	204	12	the	the	DET
cana-5400	204	13	performance	performance	NOUN
cana-5400	204	14	of	of	ADP
cana-5400	204	15	different	different	ADJ
cana-5400	204	16	ml	ml	NOUN
cana-5400	204	17	algorithms	algorithm	NOUN
cana-5400	204	18	for	for	ADP
cana-5400	204	19	intrusion	intrusion	NOUN
cana-5400	204	20	detection	detection	NOUN
cana-5400	204	21	in	in	ADP
cana-5400	204	22	wsns	wsns	PROPN
cana-5400	204	23	.	.	PUNCT
cana-5400	205	1	two	two	NUM
cana-5400	205	2	experiments	experiment	NOUN
cana-5400	205	3	were	be	AUX
cana-5400	205	4	conducted	conduct	VERB
cana-5400	205	5	:	:	PUNCT
cana-5400	205	6	one	one	NUM
cana-5400	205	7	with	with	ADP
cana-5400	205	8	smotetomek	smotetomek	NOUN
cana-5400	205	9	-	-	PUNCT
cana-5400	205	10	link	link	NOUN
cana-5400	205	11	(	(	PUNCT
cana-5400	205	12	wistl	wistl	PROPN
cana-5400	205	13	)	)	PUNCT
cana-5400	205	14	and	and	CCONJ
cana-5400	205	15	another	another	PRON
cana-5400	205	16	without	without	ADP
cana-5400	205	17	smotetomek	smotetomek	NOUN
cana-5400	205	18	-	-	PUNCT
cana-5400	205	19	link	link	NOUN
cana-5400	205	20	(	(	PUNCT
cana-5400	205	21	wostl	wostl	NOUN
cana-5400	205	22	)	)	PUNCT
cana-5400	205	23	.	.	PUNCT
cana-5400	206	1	in	in	ADP
cana-5400	206	2	evaluating	evaluate	VERB
cana-5400	206	3	the	the	DET
cana-5400	206	4	binary	binary	ADJ
cana-5400	206	5	performance	performance	NOUN
cana-5400	206	6	of	of	ADP
cana-5400	206	7	accuracy	accuracy	NOUN
cana-5400	206	8	,	,	PUNCT
cana-5400	206	9	precision	precision	NOUN
cana-5400	206	10	,	,	PUNCT
cana-5400	206	11	recall	recall	NOUN
cana-5400	206	12	,	,	PUNCT
cana-5400	206	13	and	and	CCONJ
cana-5400	206	14	f1score	f1score	NOUN
cana-5400	206	15	performances	performance	NOUN
cana-5400	206	16	of	of	ADP
cana-5400	206	17	various	various	ADJ
cana-5400	206	18	ml	ml	NOUN
cana-5400	206	19	models	model	NOUN
cana-5400	206	20	for	for	ADP
cana-5400	206	21	intrusion	intrusion	NOUN
cana-5400	206	22	detection	detection	NOUN
cana-5400	206	23	in	in	ADP
cana-5400	206	24	wsns	wsns	PROPN
cana-5400	206	25	,	,	PUNCT
cana-5400	206	26	the	the	DET
cana-5400	206	27	presented	present	VERB
cana-5400	206	28	table	table	NOUN
cana-5400	206	29	below	below	ADV
cana-5400	206	30	reveals	reveal	VERB
cana-5400	206	31	performance	performance	NOUN
cana-5400	206	32	across	across	ADP
cana-5400	206	33	all	all	DET
cana-5400	206	34	techniques	technique	NOUN
cana-5400	206	35	.	.	PUNCT
cana-5400	207	1	in	in	ADP
cana-5400	207	2	the	the	DET
cana-5400	207	3	scenario	scenario	NOUN
cana-5400	207	4	of	of	ADP
cana-5400	207	5	wostl	wostl	NOUN
cana-5400	207	6	,	,	PUNCT
cana-5400	207	7	dt	dt	X
cana-5400	207	8	,	,	PUNCT
cana-5400	207	9	rf	rf	PRON
cana-5400	207	10	and	and	CCONJ
cana-5400	207	11	knn	knn	PROPN
cana-5400	207	12	achieved	achieve	VERB
cana-5400	207	13	accuracies	accuracy	NOUN
cana-5400	207	14	of	of	ADP
cana-5400	207	15	99.52	99.52	NUM
cana-5400	207	16	%	%	NOUN
cana-5400	207	17	,	,	PUNCT
cana-5400	207	18	99.69	99.69	NUM
cana-5400	207	19	%	%	NOUN
cana-5400	207	20	and	and	CCONJ
cana-5400	207	21	99.63	99.63	NUM
cana-5400	207	22	%	%	NOUN
cana-5400	207	23	respectively	respectively	ADV
cana-5400	207	24	.	.	PUNCT
cana-5400	208	1	the	the	DET
cana-5400	208	2	corresponding	corresponding	ADJ
cana-5400	208	3	precision	precision	NOUN
cana-5400	208	4	values	value	NOUN
cana-5400	208	5	of	of	ADP
cana-5400	208	6	98.63	98.63	NUM
cana-5400	208	7	%	%	NOUN
cana-5400	208	8	,	,	PUNCT
cana-5400	208	9	99.26	99.26	NUM
cana-5400	208	10	%	%	NOUN
cana-5400	208	11	,	,	PUNCT
cana-5400	208	12	and	and	CCONJ
cana-5400	208	13	99.17	99.17	NUM
cana-5400	208	14	%	%	NOUN
cana-5400	208	15	respectively	respectively	ADV
cana-5400	208	16	.	.	PUNCT
cana-5400	209	1	the	the	DET
cana-5400	209	2	corresponding	correspond	VERB
cana-5400	209	3	recall	recall	NOUN
cana-5400	209	4	values	value	NOUN
cana-5400	209	5	for	for	ADP
cana-5400	209	6	these	these	DET
cana-5400	209	7	models	model	NOUN
cana-5400	209	8	are	be	AUX
cana-5400	209	9	98.57	98.57	NUM
cana-5400	209	10	%	%	NOUN
cana-5400	209	11	,	,	PUNCT
cana-5400	209	12	98.9	98.9	NUM
cana-5400	209	13	%	%	NOUN
cana-5400	209	14	,	,	PUNCT
cana-5400	209	15	and	and	CCONJ
cana-5400	209	16	98.68	98.68	NUM
cana-5400	209	17	%	%	NOUN
cana-5400	209	18	respectively	respectively	ADV
cana-5400	209	19	.	.	PUNCT
cana-5400	210	1	the	the	DET
cana-5400	210	2	corresponding	corresponding	ADJ
cana-5400	210	3	f1	f1	ADJ
cana-5400	210	4	-	-	PUNCT
cana-5400	210	5	score	score	NOUN
cana-5400	210	6	values	value	NOUN
cana-5400	210	7	of	of	ADP
cana-5400	210	8	98.6	98.6	NUM
cana-5400	210	9	%	%	NOUN
cana-5400	210	10	,	,	PUNCT
cana-5400	210	11	99.08	99.08	NUM
cana-5400	210	12	%	%	NOUN
cana-5400	210	13	,	,	PUNCT
cana-5400	210	14	and	and	CCONJ
cana-5400	210	15	98.92	98.92	NUM
cana-5400	210	16	%	%	NOUN
cana-5400	210	17	respectively	respectively	ADV
cana-5400	210	18	.	.	PUNCT
cana-5400	211	1	when	when	SCONJ
cana-5400	211	2	applying	apply	VERB
cana-5400	211	3	data	datum	NOUN
cana-5400	211	4	balancing	balance	VERB
cana-5400	211	5	with	with	ADP
cana-5400	211	6	smotetomek	smotetomek	PROPN
cana-5400	211	7	(	(	PUNCT
cana-5400	211	8	wistl	wistl	PROPN
cana-5400	211	9	)	)	PUNCT
cana-5400	211	10	,	,	PUNCT
cana-5400	211	11	accuracy	accuracy	NOUN
cana-5400	211	12	,	,	PUNCT
cana-5400	211	13	precision	precision	NOUN
cana-5400	211	14	,	,	PUNCT
cana-5400	211	15	recall	recall	NOUN
cana-5400	211	16	,	,	PUNCT
cana-5400	211	17	and	and	CCONJ
cana-5400	211	18	f1	f1	ADJ
cana-5400	211	19	-	-	PUNCT
cana-5400	211	20	score	score	NOUN
cana-5400	211	21	values	value	NOUN
cana-5400	211	22	generally	generally	ADV
cana-5400	211	23	improved	improve	VERB
cana-5400	211	24	.	.	PUNCT
cana-5400	212	1	in	in	ADP
cana-5400	212	2	the	the	DET
cana-5400	212	3	scenario	scenario	NOUN
cana-5400	212	4	of	of	ADP
cana-5400	212	5	wistl	wistl	NOUN
cana-5400	212	6	,	,	PUNCT
cana-5400	212	7	dt	dt	X
cana-5400	212	8	,	,	PUNCT
cana-5400	212	9	rf	rf	ADJ
cana-5400	212	10	,	,	PUNCT
cana-5400	212	11	and	and	CCONJ
cana-5400	212	12	knn	knn	PROPN
cana-5400	212	13	achieved	achieve	VERB
cana-5400	212	14	accuracies	accuracy	NOUN
cana-5400	212	15	of	of	ADP
cana-5400	212	16	99.65	99.65	NUM
cana-5400	212	17	%	%	NOUN
cana-5400	212	18	,	,	PUNCT
cana-5400	212	19	99.78	99.78	NUM
cana-5400	212	20	%	%	NOUN
cana-5400	212	21	,	,	PUNCT
cana-5400	212	22	and	and	CCONJ
cana-5400	212	23	99.5	99.5	NUM
cana-5400	212	24	%	%	NOUN
cana-5400	212	25	respectively	respectively	ADV
cana-5400	212	26	.	.	PUNCT
cana-5400	213	1	the	the	DET
cana-5400	213	2	corresponding	corresponding	ADJ
cana-5400	213	3	precision	precision	NOUN
cana-5400	213	4	values	value	NOUN
cana-5400	213	5	of	of	ADP
cana-5400	213	6	99.65	99.65	NUM
cana-5400	213	7	%	%	NOUN
cana-5400	213	8	,	,	PUNCT
cana-5400	213	9	99.78	99.78	NUM
cana-5400	213	10	%	%	NOUN
cana-5400	213	11	,	,	PUNCT
cana-5400	213	12	and	and	CCONJ
cana-5400	213	13	99.5	99.5	NUM
cana-5400	213	14	%	%	NOUN
cana-5400	213	15	respectively	respectively	ADV
cana-5400	213	16	.	.	PUNCT
cana-5400	214	1	the	the	DET
cana-5400	214	2	corresponding	correspond	VERB
cana-5400	214	3	recall	recall	NOUN
cana-5400	214	4	values	value	NOUN
cana-5400	214	5	for	for	ADP
cana-5400	214	6	these	these	DET
cana-5400	214	7	models	model	NOUN
cana-5400	214	8	are	be	AUX
cana-5400	214	9	99.65	99.65	NUM
cana-5400	214	10	%	%	NOUN
cana-5400	214	11	,	,	PUNCT
cana-5400	214	12	99.78	99.78	NUM
cana-5400	214	13	%	%	NOUN
cana-5400	214	14	,	,	PUNCT
cana-5400	214	15	and	and	CCONJ
cana-5400	214	16	99.5	99.5	NUM
cana-5400	214	17	%	%	NOUN
cana-5400	214	18	respectively	respectively	ADV
cana-5400	214	19	.	.	PUNCT
cana-5400	215	1	the	the	DET
cana-5400	215	2	corresponding	corresponding	ADJ
cana-5400	215	3	f1	f1	ADJ
cana-5400	215	4	-	-	PUNCT
cana-5400	215	5	score	score	NOUN
cana-5400	215	6	values	value	NOUN
cana-5400	215	7	of	of	ADP
cana-5400	215	8	99.63	99.63	NUM
cana-5400	215	9	%	%	NOUN
cana-5400	215	10	,	,	PUNCT
cana-5400	215	11	99.74	99.74	NUM
cana-5400	215	12	%	%	NOUN
cana-5400	215	13	,	,	PUNCT
cana-5400	215	14	and	and	CCONJ
cana-5400	215	15	99.5	99.5	NUM
cana-5400	215	16	%	%	NOUN
cana-5400	215	17	respectively	respectively	ADV
cana-5400	215	18	.	.	PUNCT
cana-5400	216	1	among	among	ADP
cana-5400	216	2	these	these	PRON
cana-5400	216	3	,	,	PUNCT
cana-5400	216	4	random	random	ADJ
cana-5400	216	5	forest	forest	NOUN
cana-5400	216	6	consistently	consistently	ADV
cana-5400	216	7	demonstrated	demonstrate	VERB
cana-5400	216	8	the	the	DET
cana-5400	216	9	highest	high	ADJ
cana-5400	216	10	performance	performance	NOUN
cana-5400	216	11	scores	score	NOUN
cana-5400	216	12	in	in	ADP
cana-5400	216	13	all	all	DET
cana-5400	216	14	scenarios	scenario	NOUN
cana-5400	216	15	,	,	PUNCT
cana-5400	216	16	making	make	VERB
cana-5400	216	17	it	it	PRON
cana-5400	216	18	the	the	DET
cana-5400	216	19	model	model	NOUN
cana-5400	216	20	providing	provide	VERB
cana-5400	216	21	superior	superior	ADJ
cana-5400	216	22	performance	performance	NOUN
cana-5400	216	23	for	for	ADP
cana-5400	216	24	intrusion	intrusion	NOUN
cana-5400	216	25	detection	detection	NOUN
cana-5400	216	26	in	in	ADP
cana-5400	216	27	wsns	wsns	NOUN
cana-5400	216	28	in	in	ADP
cana-5400	216	29	the	the	DET
cana-5400	216	30	given	give	VERB
cana-5400	216	31	context	context	NOUN
cana-5400	216	32	.	.	PUNCT
cana-5400	217	1	table	table	NOUN
cana-5400	217	2	3	3	NUM
cana-5400	217	3	.	.	PUNCT
cana-5400	217	4	binary	binary	ADJ
cana-5400	217	5	performance	performance	NOUN
cana-5400	217	6	analysis	analysis	NOUN
cana-5400	217	7	of	of	ADP
cana-5400	217	8	with	with	ADP
cana-5400	217	9	and	and	CCONJ
cana-5400	217	10	without	without	ADP
cana-5400	217	11	data	data	NOUN
cana-5400	217	12	balancing	balancing	NOUN
cana-5400	217	13	using	use	VERB
cana-5400	217	14	smotetomek	smotetomek	PROPN
cana-5400	217	15	technique	technique	NOUN
cana-5400	217	16	ml	ml	NOUN
cana-5400	217	17	accuracy	accuracy	NOUN
cana-5400	217	18	precision	precision	NOUN
cana-5400	217	19	recall	recall	VERB
cana-5400	217	20	f1	f1	NOUN
cana-5400	217	21	-	-	PUNCT
cana-5400	217	22	score	score	NOUN
cana-5400	217	23	wostl	wostl	NOUN
cana-5400	217	24	dt	dt	PROPN
cana-5400	218	1	99.52	99.52	NUM
cana-5400	218	2	98.63	98.63	NUM
cana-5400	218	3	98.57	98.57	NUM
cana-5400	218	4	98.6	98.6	NUM
cana-5400	218	5	rf	rf	NUM
cana-5400	218	6	99.69	99.69	NUM
cana-5400	218	7	99.26	99.26	NUM
cana-5400	218	8	98.9	98.9	NUM
cana-5400	218	9	99.08	99.08	NUM
cana-5400	218	10	knn	knn	PROPN
cana-5400	218	11	99.63	99.63	NUM
cana-5400	218	12	99.17	99.17	NUM
cana-5400	218	13	98.68	98.68	NUM
cana-5400	218	14	98.92	98.92	NUM
cana-5400	218	15	wistl	wistl	NOUN
cana-5400	218	16	dt	dt	ADP
cana-5400	218	17	99.65	99.65	NUM
cana-5400	218	18	99.65	99.65	NUM
cana-5400	218	19	99.65	99.65	NUM
cana-5400	218	20	99.63	99.63	NUM
cana-5400	218	21	rf	rf	PROPN
cana-5400	218	22	99.78	99.78	NUM
cana-5400	218	23	99.78	99.78	NUM
cana-5400	218	24	99.78	99.78	NUM
cana-5400	218	25	99.78	99.78	NUM
cana-5400	218	26	knn	knn	PROPN
cana-5400	218	27	99.5	99.5	NUM
cana-5400	218	28	99.5	99.5	NUM
cana-5400	218	29	99.5	99.5	NUM
cana-5400	218	30	99.5	99.5	NUM
cana-5400	218	31	communications	communication	NOUN
cana-5400	218	32	on	on	ADP
cana-5400	218	33	applied	apply	VERB
cana-5400	218	34	nonlinear	nonlinear	ADJ
cana-5400	218	35	analysis	analysis	NOUN
cana-5400	218	36	issn	issn	NOUN
cana-5400	218	37	:	:	PUNCT
cana-5400	218	38	1074	1074	NUM
cana-5400	218	39	-	-	PUNCT
cana-5400	218	40	133x	133x	NUM
cana-5400	218	41	vol	vol	NOUN
cana-5400	218	42	32	32	NUM
cana-5400	218	43	no	no	NOUN
cana-5400	218	44	.	.	PUNCT
cana-5400	219	1	icmasd	icmasd	NOUN
cana-5400	219	2	(	(	PUNCT
cana-5400	219	3	2025	2025	NUM
cana-5400	219	4	)	)	PUNCT
cana-5400	219	5	1850	1850	NUM
cana-5400	219	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	219	7	fig	fig	NOUN
cana-5400	219	8	.	.	PUNCT
cana-5400	220	1	1	1	X
cana-5400	220	2	.	.	X
cana-5400	220	3	binary	binary	ADJ
cana-5400	220	4	accuracy	accuracy	NOUN
cana-5400	220	5	analysis	analysis	NOUN
cana-5400	220	6	of	of	ADP
cana-5400	220	7	ml	ml	NOUN
cana-5400	220	8	model	model	NOUN
cana-5400	220	9	for	for	ADP
cana-5400	220	10	wireless	wireless	ADJ
cana-5400	220	11	sensor	sensor	NOUN
cana-5400	220	12	networks	network	NOUN
cana-5400	220	13	figure	figure	VERB
cana-5400	220	14	1	1	NUM
cana-5400	220	15	compares	compare	VERB
cana-5400	220	16	the	the	DET
cana-5400	220	17	accuracy	accuracy	NOUN
cana-5400	220	18	in	in	ADP
cana-5400	220	19	graphical	graphical	ADJ
cana-5400	220	20	form	form	NOUN
cana-5400	220	21	of	of	ADP
cana-5400	220	22	various	various	ADJ
cana-5400	220	23	ml	ml	NOUN
cana-5400	220	24	models	model	NOUN
cana-5400	220	25	on	on	ADP
cana-5400	220	26	wostl	wostl	NOUN
cana-5400	220	27	and	and	CCONJ
cana-5400	220	28	wistl	wistl	NOUN
cana-5400	220	29	models	model	NOUN
cana-5400	220	30	.	.	PUNCT
cana-5400	221	1	however	however	ADV
cana-5400	221	2	,	,	PUNCT
cana-5400	221	3	in	in	ADP
cana-5400	221	4	wistl	wistl	NOUN
cana-5400	221	5	,	,	PUNCT
cana-5400	221	6	where	where	SCONJ
cana-5400	221	7	the	the	DET
cana-5400	221	8	smotetomek	smotetomek	PROPN
cana-5400	221	9	-	-	PUNCT
cana-5400	221	10	link	link	NOUN
cana-5400	221	11	technique	technique	NOUN
cana-5400	221	12	was	be	AUX
cana-5400	221	13	employed	employ	VERB
cana-5400	221	14	for	for	ADP
cana-5400	221	15	data	data	NOUN
cana-5400	221	16	balancing	balancing	NOUN
cana-5400	221	17	,	,	PUNCT
cana-5400	221	18	the	the	DET
cana-5400	221	19	accuracy	accuracy	NOUN
cana-5400	221	20	rates	rate	NOUN
cana-5400	221	21	of	of	ADP
cana-5400	221	22	ml	ml	ADP
cana-5400	221	23	algorithms	algorithm	NOUN
cana-5400	221	24	were	be	AUX
cana-5400	221	25	improved	improve	VERB
cana-5400	221	26	.	.	PUNCT
cana-5400	222	1	from	from	ADP
cana-5400	222	2	figure	figure	NOUN
cana-5400	222	3	2	2	NUM
cana-5400	222	4	,	,	PUNCT
cana-5400	222	5	it	it	PRON
cana-5400	222	6	is	be	AUX
cana-5400	222	7	evident	evident	ADJ
cana-5400	222	8	that	that	SCONJ
cana-5400	222	9	rf	rf	NOUN
cana-5400	222	10	outperforms	outperform	VERB
cana-5400	222	11	other	other	ADJ
cana-5400	222	12	algorithms	algorithm	NOUN
cana-5400	222	13	in	in	ADP
cana-5400	222	14	terms	term	NOUN
cana-5400	222	15	of	of	ADP
cana-5400	222	16	performance	performance	NOUN
cana-5400	222	17	metrics	metric	NOUN
cana-5400	222	18	in	in	ADP
cana-5400	222	19	the	the	DET
cana-5400	222	20	wistl	wistl	NOUN
cana-5400	222	21	experiment	experiment	NOUN
cana-5400	222	22	for	for	ADP
cana-5400	222	23	intrusion	intrusion	NOUN
cana-5400	222	24	detection	detection	NOUN
cana-5400	222	25	in	in	ADP
cana-5400	222	26	wsns	wsns	NOUN
cana-5400	222	27	.	.	PUNCT
cana-5400	223	1	rf	rf	PRON
cana-5400	223	2	consistently	consistently	ADV
cana-5400	223	3	achieves	achieve	VERB
cana-5400	223	4	the	the	DET
cana-5400	223	5	highest	high	ADJ
cana-5400	223	6	accuracy	accuracy	NOUN
cana-5400	223	7	rate	rate	NOUN
cana-5400	223	8	of	of	ADP
cana-5400	223	9	99.78	99.78	NUM
cana-5400	223	10	%	%	NOUN
cana-5400	223	11	,	,	PUNCT
cana-5400	223	12	indicating	indicate	VERB
cana-5400	223	13	its	its	PRON
cana-5400	223	14	ability	ability	NOUN
cana-5400	223	15	to	to	PART
cana-5400	223	16	correctly	correctly	ADV
cana-5400	223	17	classify	classify	VERB
cana-5400	223	18	instances	instance	NOUN
cana-5400	223	19	as	as	ADP
cana-5400	223	20	either	either	CCONJ
cana-5400	223	21	normal	normal	ADJ
cana-5400	223	22	or	or	CCONJ
cana-5400	223	23	intrusions	intrusion	NOUN
cana-5400	223	24	.	.	PUNCT
cana-5400	224	1	fig	fig	NOUN
cana-5400	224	2	.	.	PUNCT
cana-5400	225	1	2	2	X
cana-5400	225	2	.	.	X
cana-5400	225	3	binary	binary	ADJ
cana-5400	225	4	performance	performance	NOUN
cana-5400	225	5	analysis	analysis	NOUN
cana-5400	225	6	for	for	ADP
cana-5400	225	7	wsn	wsn	PROPN
cana-5400	225	8	from	from	ADP
cana-5400	225	9	figure	figure	NOUN
cana-5400	225	10	3	3	NUM
cana-5400	225	11	,	,	PUNCT
cana-5400	225	12	rf	rf	PRON
cana-5400	225	13	demonstrates	demonstrate	VERB
cana-5400	225	14	higher	high	ADJ
cana-5400	225	15	true	true	ADJ
cana-5400	225	16	positive	positive	ADJ
cana-5400	225	17	and	and	CCONJ
cana-5400	225	18	true	true	ADJ
cana-5400	225	19	negative	negative	ADJ
cana-5400	225	20	rates	rate	NOUN
cana-5400	225	21	compared	compare	VERB
cana-5400	225	22	to	to	ADP
cana-5400	225	23	other	other	ADJ
cana-5400	225	24	algorithms	algorithm	NOUN
cana-5400	225	25	,	,	PUNCT
cana-5400	225	26	indicating	indicate	VERB
cana-5400	225	27	its	its	PRON
cana-5400	225	28	superior	superior	ADJ
cana-5400	225	29	ability	ability	NOUN
cana-5400	225	30	to	to	PART
cana-5400	225	31	correctly	correctly	ADV
cana-5400	225	32	identify	identify	VERB
cana-5400	225	33	both	both	DET
cana-5400	225	34	normal	normal	ADJ
cana-5400	225	35	instances	instance	NOUN
cana-5400	225	36	and	and	CCONJ
cana-5400	225	37	intrusions	intrusion	NOUN
cana-5400	225	38	.	.	PUNCT
cana-5400	226	1	specifically	specifically	ADV
cana-5400	226	2	,	,	PUNCT
cana-5400	226	3	rf	rf	PRON
cana-5400	226	4	achieves	achieve	VERB
cana-5400	226	5	a	a	DET
cana-5400	226	6	true	true	ADJ
cana-5400	226	7	positive	positive	ADJ
cana-5400	226	8	rate	rate	NOUN
cana-5400	226	9	of	of	ADP
cana-5400	226	10	33,873	33,873	NUM
cana-5400	226	11	and	and	CCONJ
cana-5400	226	12	a	a	DET
cana-5400	226	13	true	true	ADJ
cana-5400	226	14	negative	negative	ADJ
cana-5400	226	15	rate	rate	NOUN
cana-5400	226	16	of	of	ADP
cana-5400	226	17	33,898	33,898	NUM
cana-5400	226	18	,	,	PUNCT
cana-5400	226	19	suggesting	suggest	VERB
cana-5400	226	20	its	its	PRON
cana-5400	226	21	effectiveness	effectiveness	NOUN
cana-5400	226	22	in	in	ADP
cana-5400	226	23	accurately	accurately	ADV
cana-5400	226	24	detecting	detect	VERB
cana-5400	226	25	intrusions	intrusion	NOUN
cana-5400	226	26	.	.	PUNCT
cana-5400	227	1	in	in	ADP
cana-5400	227	2	contrast	contrast	NOUN
cana-5400	227	3	,	,	PUNCT
cana-5400	227	4	rf	rf	NOUN
cana-5400	227	5	exhibits	exhibit	VERB
cana-5400	227	6	lower	low	ADJ
cana-5400	227	7	false	false	ADJ
cana-5400	227	8	positive	positive	ADJ
cana-5400	227	9	and	and	CCONJ
cana-5400	227	10	false	false	ADJ
cana-5400	227	11	negative	negative	ADJ
cana-5400	227	12	rates	rate	NOUN
cana-5400	227	13	,	,	PUNCT
cana-5400	227	14	with	with	ADP
cana-5400	227	15	only	only	ADV
cana-5400	227	16	77	77	NUM
cana-5400	227	17	false	false	ADJ
cana-5400	227	18	positive	positive	ADJ
cana-5400	227	19	and	and	CCONJ
cana-5400	227	20	74	74	NUM
cana-5400	227	21	false	false	ADJ
cana-5400	227	22	negative	negative	ADJ
cana-5400	227	23	instances	instance	NOUN
cana-5400	227	24	.	.	PUNCT
cana-5400	228	1	99.3	99.3	NUM
cana-5400	228	2	99.4	99.4	NUM
cana-5400	228	3	99.5	99.5	NUM
cana-5400	228	4	99.6	99.6	NUM
cana-5400	228	5	99.7	99.7	NUM
cana-5400	228	6	99.8	99.8	NUM
cana-5400	228	7	dt	dt	NOUN
cana-5400	228	8	rf	rf	PROPN
cana-5400	228	9	knn	knn	PROPN
cana-5400	228	10	dt	dt	PROPN
cana-5400	228	11	rf	rf	PROPN
cana-5400	228	12	knnwostl	knnwostl	PROPN
cana-5400	228	13	wistl	wistl	PROPN
cana-5400	228	14	accuracy	accuracy	NOUN
cana-5400	228	15	score	score	NOUN
cana-5400	228	16	in	in	ADP
cana-5400	228	17	(	(	PUNCT
cana-5400	228	18	%	%	INTJ
cana-5400	228	19	)	)	PUNCT
cana-5400	228	20	99.35	99.35	NUM
cana-5400	228	21	99.4	99.4	NUM
cana-5400	228	22	99.45	99.45	NUM
cana-5400	228	23	99.5	99.5	NUM
cana-5400	228	24	99.55	99.55	NUM
cana-5400	228	25	99.6	99.6	NUM
cana-5400	228	26	99.65	99.65	NUM
cana-5400	228	27	99.7	99.7	NUM
cana-5400	228	28	99.75	99.75	NUM
cana-5400	228	29	99.8	99.8	NUM
cana-5400	228	30	99.85	99.85	NUM
cana-5400	228	31	precision	precision	NOUN
cana-5400	228	32	recall	recall	NOUN
cana-5400	228	33	f1	f1	PROPN
cana-5400	228	34	score	score	NOUN
cana-5400	229	1	p	p	NOUN
cana-5400	229	2	er	er	INTJ
cana-5400	229	3	fo	fo	INTJ
cana-5400	229	4	rm	rm	PROPN
cana-5400	229	5	an	an	DET
cana-5400	229	6	ce	ce	PROPN
cana-5400	229	7	s	s	PART
cana-5400	229	8	co	co	X
cana-5400	229	9	re	re	VERB
cana-5400	229	10	in	in	ADP
cana-5400	229	11	(	(	PUNCT
cana-5400	229	12	%	%	NOUN
cana-5400	229	13	)	)	PUNCT
cana-5400	229	14	performance	performance	NOUN
cana-5400	229	15	metrics	metric	NOUN
cana-5400	229	16	dt	dt	PROPN
cana-5400	229	17	rf	rf	PROPN
cana-5400	229	18	knn	knn	PROPN
cana-5400	229	19	communications	communication	NOUN
cana-5400	229	20	on	on	ADP
cana-5400	229	21	applied	apply	VERB
cana-5400	229	22	nonlinear	nonlinear	ADJ
cana-5400	229	23	analysis	analysis	NOUN
cana-5400	229	24	issn	issn	NOUN
cana-5400	229	25	:	:	PUNCT
cana-5400	229	26	1074	1074	NUM
cana-5400	229	27	-	-	PUNCT
cana-5400	229	28	133x	133x	NUM
cana-5400	229	29	vol	vol	NOUN
cana-5400	229	30	32	32	NUM
cana-5400	229	31	no	no	NOUN
cana-5400	229	32	.	.	PUNCT
cana-5400	230	1	icmasd	icmasd	NOUN
cana-5400	230	2	(	(	PUNCT
cana-5400	230	3	2025	2025	NUM
cana-5400	230	4	)	)	PUNCT
cana-5400	230	5	1851	1851	NUM
cana-5400	231	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	231	2	a	a	X
cana-5400	231	3	)	)	PUNCT
cana-5400	231	4	dt	dt	NOUN
cana-5400	231	5	b	b	X
cana-5400	231	6	)	)	PUNCT
cana-5400	231	7	rf	rf	NOUN
cana-5400	231	8	c	c	NOUN
cana-5400	231	9	)	)	PUNCT
cana-5400	231	10	knn	knn	PROPN
cana-5400	231	11	fig.3	fig.3	PROPN
cana-5400	231	12	confusion	confusion	NOUN
cana-5400	231	13	matrix	matrix	NOUN
cana-5400	231	14	fig	fig	NOUN
cana-5400	231	15	.	.	PUNCT
cana-5400	232	1	4	4	NUM
cana-5400	232	2	roc	roc	PROPN
cana-5400	232	3	curve	curve	NOUN
cana-5400	232	4	for	for	ADP
cana-5400	232	5	binary	binary	ADJ
cana-5400	232	6	classification	classification	NOUN
cana-5400	232	7	furthermore	furthermore	ADV
cana-5400	232	8	,	,	PUNCT
cana-5400	232	9	the	the	DET
cana-5400	232	10	roc	roc	PROPN
cana-5400	232	11	curve	curve	NOUN
cana-5400	232	12	in	in	ADP
cana-5400	232	13	figure	figure	NOUN
cana-5400	232	14	4	4	NUM
cana-5400	232	15	demonstrates	demonstrate	VERB
cana-5400	232	16	the	the	DET
cana-5400	232	17	auc	auc	NOUN
cana-5400	232	18	score	score	NOUN
cana-5400	232	19	,	,	PUNCT
cana-5400	232	20	which	which	PRON
cana-5400	232	21	serves	serve	VERB
cana-5400	232	22	as	as	ADP
cana-5400	232	23	a	a	DET
cana-5400	232	24	measure	measure	NOUN
cana-5400	232	25	of	of	ADP
cana-5400	232	26	the	the	DET
cana-5400	232	27	overall	overall	ADJ
cana-5400	232	28	performance	performance	NOUN
cana-5400	232	29	of	of	ADP
cana-5400	232	30	the	the	DET
cana-5400	232	31	ml	ml	NOUN
cana-5400	232	32	algorithms	algorithm	NOUN
cana-5400	232	33	.	.	PUNCT
cana-5400	233	1	rf	rf	PRON
cana-5400	233	2	achieves	achieve	VERB
cana-5400	233	3	an	an	DET
cana-5400	233	4	impressive	impressive	ADJ
cana-5400	233	5	auc	auc	NOUN
cana-5400	233	6	score	score	NOUN
cana-5400	233	7	of	of	ADP
cana-5400	233	8	99.99	99.99	NUM
cana-5400	233	9	%	%	NOUN
cana-5400	233	10	,	,	PUNCT
cana-5400	233	11	by	by	ADP
cana-5400	233	12	proving	prove	VERB
cana-5400	233	13	its	its	PRON
cana-5400	233	14	superiority	superiority	NOUN
cana-5400	233	15	in	in	ADP
cana-5400	233	16	detecting	detect	VERB
cana-5400	233	17	intrusions	intrusion	NOUN
cana-5400	233	18	.	.	PUNCT
cana-5400	234	1	the	the	DET
cana-5400	234	2	high	high	ADJ
cana-5400	234	3	auc	auc	NOUN
cana-5400	234	4	score	score	NOUN
cana-5400	234	5	indicates	indicate	VERB
cana-5400	234	6	that	that	SCONJ
cana-5400	234	7	rf	rf	NOUN
cana-5400	234	8	exhibits	exhibit	VERB
cana-5400	234	9	a	a	DET
cana-5400	234	10	high	high	ADJ
cana-5400	234	11	true	true	ADJ
cana-5400	234	12	positive	positive	ADJ
cana-5400	234	13	rate	rate	NOUN
cana-5400	234	14	while	while	SCONJ
cana-5400	234	15	maintaining	maintain	VERB
cana-5400	234	16	a	a	DET
cana-5400	234	17	low	low	ADJ
cana-5400	234	18	false	false	ADJ
cana-5400	234	19	positive	positive	ADJ
cana-5400	234	20	rate	rate	NOUN
cana-5400	234	21	,	,	PUNCT
cana-5400	234	22	making	make	VERB
cana-5400	234	23	it	it	PRON
cana-5400	234	24	an	an	DET
cana-5400	234	25	ideal	ideal	ADJ
cana-5400	234	26	choice	choice	NOUN
cana-5400	234	27	for	for	ADP
cana-5400	234	28	intrusion	intrusion	NOUN
cana-5400	234	29	detection	detection	NOUN
cana-5400	234	30	in	in	ADP
cana-5400	234	31	wsns	wsns	NOUN
cana-5400	234	32	.	.	PUNCT
cana-5400	235	1	5	5	NUM
cana-5400	235	2	conclusion	conclusion	NOUN
cana-5400	235	3	in	in	ADP
cana-5400	235	4	conclusion	conclusion	NOUN
cana-5400	235	5	,	,	PUNCT
cana-5400	235	6	proposed	propose	VERB
cana-5400	235	7	intrusion	intrusion	NOUN
cana-5400	235	8	detection	detection	NOUN
cana-5400	235	9	model	model	NOUN
cana-5400	235	10	,	,	PUNCT
cana-5400	235	11	combining	combine	VERB
cana-5400	235	12	machine	machine	NOUN
cana-5400	235	13	learning	learn	VERB
cana-5400	235	14	techniques	technique	NOUN
cana-5400	235	15	with	with	ADP
cana-5400	235	16	the	the	DET
cana-5400	235	17	smote	smote	ADJ
cana-5400	235	18	-	-	PUNCT
cana-5400	235	19	tomeklink	tomeklink	NOUN
cana-5400	235	20	resampling	resampling	NOUN
cana-5400	235	21	method	method	NOUN
cana-5400	235	22	effectively	effectively	ADV
cana-5400	235	23	balanced	balanced	ADJ
cana-5400	235	24	imbalanced	imbalanced	ADJ
cana-5400	235	25	wsn	wsn	NOUN
cana-5400	235	26	dataset	dataset	NOUN
cana-5400	235	27	.	.	PUNCT
cana-5400	236	1	feature	feature	NOUN
cana-5400	236	2	scaling	scale	VERB
cana-5400	236	3	through	through	ADP
cana-5400	236	4	standardization	standardization	NOUN
cana-5400	236	5	is	be	AUX
cana-5400	236	6	employed	employ	VERB
cana-5400	236	7	to	to	PART
cana-5400	236	8	normalize	normalize	VERB
cana-5400	236	9	input	input	NOUN
cana-5400	236	10	features	feature	NOUN
cana-5400	236	11	,	,	PUNCT
cana-5400	236	12	enhancing	enhance	VERB
cana-5400	236	13	the	the	DET
cana-5400	236	14	model	model	NOUN
cana-5400	236	15	’s	’s	PART
cana-5400	236	16	accuracy	accuracy	NOUN
cana-5400	236	17	and	and	CCONJ
cana-5400	236	18	robustness	robustness	NOUN
cana-5400	236	19	.	.	PUNCT
cana-5400	237	1	the	the	DET
cana-5400	237	2	result	result	NOUN
cana-5400	237	3	of	of	ADP
cana-5400	237	4	findings	finding	NOUN
cana-5400	237	5	is	be	AUX
cana-5400	237	6	the	the	DET
cana-5400	237	7	remarkable	remarkable	ADJ
cana-5400	237	8	performance	performance	NOUN
cana-5400	237	9	achieved	achieve	VERB
cana-5400	237	10	by	by	ADP
cana-5400	237	11	our	our	PRON
cana-5400	237	12	model	model	NOUN
cana-5400	237	13	,	,	PUNCT
cana-5400	237	14	with	with	ADP
cana-5400	237	15	an	an	DET
cana-5400	237	16	accuracy	accuracy	NOUN
cana-5400	237	17	rate	rate	NOUN
cana-5400	237	18	of	of	ADP
cana-5400	237	19	99.78	99.78	NUM
cana-5400	237	20	%	%	NOUN
cana-5400	237	21	in	in	ADP
cana-5400	237	22	binary	binary	ADJ
cana-5400	237	23	classification	classification	NOUN
cana-5400	237	24	.	.	PUNCT
cana-5400	238	1	these	these	DET
cana-5400	238	2	results	result	NOUN
cana-5400	238	3	highlight	highlight	VERB
cana-5400	238	4	the	the	DET
cana-5400	238	5	effectiveness	effectiveness	NOUN
cana-5400	238	6	and	and	CCONJ
cana-5400	238	7	superiority	superiority	NOUN
cana-5400	238	8	of	of	ADP
cana-5400	238	9	proposed	propose	VERB
cana-5400	238	10	model	model	NOUN
cana-5400	238	11	.	.	PUNCT
cana-5400	239	1	future	future	ADJ
cana-5400	239	2	research	research	NOUN
cana-5400	239	3	in	in	ADP
cana-5400	239	4	wsn	wsn	PROPN
cana-5400	239	5	intrusion	intrusion	NOUN
cana-5400	239	6	detection	detection	NOUN
cana-5400	239	7	can	can	AUX
cana-5400	239	8	explore	explore	VERB
cana-5400	239	9	hybrid	hybrid	ADJ
cana-5400	239	10	feature	feature	NOUN
cana-5400	239	11	selection	selection	NOUN
cana-5400	239	12	to	to	PART
cana-5400	239	13	reduce	reduce	VERB
cana-5400	239	14	computational	computational	ADJ
cana-5400	239	15	complexity	complexity	NOUN
cana-5400	239	16	,	,	PUNCT
cana-5400	239	17	employ	employ	VERB
cana-5400	239	18	deep	deep	ADJ
cana-5400	239	19	learning	learning	NOUN
cana-5400	239	20	models	model	NOUN
cana-5400	239	21	,	,	PUNCT
cana-5400	239	22	especially	especially	ADV
cana-5400	239	23	fine	fine	ADV
cana-5400	239	24	-	-	PUNCT
cana-5400	239	25	tuned	tune	VERB
cana-5400	239	26	models	model	NOUN
cana-5400	239	27	in	in	ADP
cana-5400	239	28	ids	id	NOUN
cana-5400	239	29	,	,	PUNCT
cana-5400	239	30	and	and	CCONJ
cana-5400	239	31	consider	consider	VERB
cana-5400	239	32	a	a	DET
cana-5400	239	33	hierarchical	hierarchical	ADJ
cana-5400	239	34	approach	approach	NOUN
cana-5400	239	35	in	in	ADP
cana-5400	239	36	wsns	wsns	NOUN
cana-5400	239	37	to	to	PART
cana-5400	239	38	improve	improve	VERB
cana-5400	239	39	performance	performance	NOUN
cana-5400	239	40	.	.	PUNCT
cana-5400	240	1	communications	communication	NOUN
cana-5400	240	2	on	on	ADP
cana-5400	240	3	applied	apply	VERB
cana-5400	240	4	nonlinear	nonlinear	ADJ
cana-5400	240	5	analysis	analysis	NOUN
cana-5400	240	6	issn	issn	NOUN
cana-5400	240	7	:	:	PUNCT
cana-5400	240	8	1074	1074	NUM
cana-5400	240	9	-	-	PUNCT
cana-5400	240	10	133x	133x	NUM
cana-5400	240	11	vol	vol	NOUN
cana-5400	240	12	32	32	NUM
cana-5400	240	13	no	no	NOUN
cana-5400	240	14	.	.	PUNCT
cana-5400	241	1	icmasd	icmasd	NOUN
cana-5400	241	2	(	(	PUNCT
cana-5400	241	3	2025	2025	NUM
cana-5400	241	4	)	)	PUNCT
cana-5400	241	5	1852	1852	NUM
cana-5400	242	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	242	2	references	reference	NOUN
cana-5400	242	3	[	[	X
cana-5400	242	4	1	1	NUM
cana-5400	242	5	]	]	X
cana-5400	242	6	gebremariam	gebremariam	PROPN
cana-5400	242	7	,	,	PUNCT
cana-5400	242	8	g.g	g.g	PROPN
cana-5400	242	9	.	.	PROPN
cana-5400	242	10	,	,	PUNCT
cana-5400	242	11	panda	panda	NOUN
cana-5400	242	12	,	,	PUNCT
cana-5400	242	13	j.	j.	PROPN
cana-5400	242	14	,	,	PUNCT
cana-5400	242	15	indu	indu	NOUN
cana-5400	242	16	,	,	PUNCT
cana-5400	242	17	s.	s.	PROPN
cana-5400	242	18	:	:	PUNCT
cana-5400	243	1	design	design	NOUN
cana-5400	243	2	of	of	ADP
cana-5400	243	3	advanced	advanced	ADJ
cana-5400	243	4	intrusion	intrusion	NOUN
cana-5400	243	5	detection	detection	NOUN
cana-5400	243	6	systems	system	NOUN
cana-5400	243	7	based	base	VERB
cana-5400	243	8	on	on	ADP
cana-5400	243	9	hybrid	hybrid	ADJ
cana-5400	243	10	machine	machine	NOUN
cana-5400	243	11	learning	learn	VERB
cana-5400	243	12	techniques	technique	NOUN
cana-5400	243	13	in	in	ADP
cana-5400	243	14	hierarchically	hierarchically	ADJ
cana-5400	243	15	wireless	wireless	ADJ
cana-5400	243	16	sensor	sensor	NOUN
cana-5400	243	17	networks	network	NOUN
cana-5400	243	18	.	.	PUNCT
cana-5400	244	1	connection	connection	NOUN
cana-5400	244	2	science	science	PROPN
cana-5400	244	3	35(1	35(1	PROPN
cana-5400	244	4	)	)	PUNCT
cana-5400	244	5	,	,	PUNCT
cana-5400	244	6	2246703	2246703	NUM
cana-5400	244	7	(	(	PUNCT
cana-5400	244	8	2023	2023	NUM
cana-5400	244	9	)	)	PUNCT
cana-5400	244	10	.	.	PUNCT
cana-5400	245	1	[	[	X
cana-5400	245	2	2	2	NUM
cana-5400	245	3	]	]	X
cana-5400	245	4	yakubu	yakubu	PROPN
cana-5400	245	5	,	,	PUNCT
cana-5400	245	6	m.m	m.m	PROPN
cana-5400	245	7	.	.	PROPN
cana-5400	245	8	,	,	PUNCT
cana-5400	245	9	maiwada	maiwada	PROPN
cana-5400	245	10	,	,	PUNCT
cana-5400	245	11	u.d	u.d	PROPN
cana-5400	245	12	.	.	PUNCT
cana-5400	245	13	:	:	PUNCT
cana-5400	245	14	resource	resource	NOUN
cana-5400	245	15	limitations	limitation	NOUN
cana-5400	245	16	for	for	ADP
cana-5400	245	17	wireless	wireless	ADJ
cana-5400	245	18	sensor	sensor	NOUN
cana-5400	245	19	networks	network	NOUN
cana-5400	245	20	to	to	PART
cana-5400	245	21	establish	establish	VERB
cana-5400	245	22	a	a	DET
cana-5400	245	23	comprehensive	comprehensive	ADJ
cana-5400	245	24	security	security	NOUN
cana-5400	245	25	system	system	NOUN
cana-5400	245	26	in	in	ADP
cana-5400	245	27	the	the	DET
cana-5400	245	28	5	5	NUM
cana-5400	245	29	g	g	NOUN
cana-5400	245	30	network	network	NOUN
cana-5400	245	31	.	.	PUNCT
cana-5400	245	32	umyu	umyu	PROPN
cana-5400	245	33	scientifica	scientifica	PROPN
cana-5400	245	34	2(2	2(2	NUM
cana-5400	245	35	)	)	PUNCT
cana-5400	245	36	,	,	PUNCT
cana-5400	245	37	44–52	44–52	NUM
cana-5400	245	38	(	(	PUNCT
cana-5400	245	39	2023	2023	NUM
cana-5400	245	40	)	)	PUNCT
cana-5400	245	41	.	.	PUNCT
cana-5400	246	1	[	[	X
cana-5400	246	2	3	3	NUM
cana-5400	246	3	]	]	X
cana-5400	246	4	nimbalkar	nimbalkar	PROPN
cana-5400	246	5	,	,	PUNCT
cana-5400	246	6	a.d	a.d	PROPN
cana-5400	246	7	.	.	PROPN
cana-5400	246	8	,	,	PUNCT
cana-5400	246	9	azmat	azmat	PROPN
cana-5400	246	10	,	,	PUNCT
cana-5400	246	11	a.	a.	PROPN
cana-5400	246	12	,	,	PUNCT
cana-5400	246	13	patil	patil	PROPN
cana-5400	246	14	,	,	PUNCT
cana-5400	246	15	y.	y.	NOUN
cana-5400	246	16	:	:	PUNCT
cana-5400	246	17	security	security	NOUN
cana-5400	246	18	issues	issue	NOUN
cana-5400	246	19	in	in	ADP
cana-5400	246	20	wireless	wireless	ADJ
cana-5400	246	21	sensor	sensor	NOUN
cana-5400	246	22	networks	network	NOUN
cana-5400	246	23	.	.	PUNCT
cana-5400	247	1	i	i	PROPN
cana-5400	247	2	-	-	PUNCT
cana-5400	247	3	manager	manager	NOUN
cana-5400	247	4	’s	’s	PART
cana-5400	247	5	journal	journal	NOUN
cana-5400	247	6	on	on	ADP
cana-5400	247	7	wireless	wireless	ADJ
cana-5400	247	8	communication	communication	NOUN
cana-5400	247	9	networks	network	NOUN
cana-5400	247	10	11(2	11(2	NUM
cana-5400	247	11	)	)	PUNCT
cana-5400	247	12	,	,	PUNCT
cana-5400	247	13	32	32	NUM
cana-5400	247	14	(	(	PUNCT
cana-5400	247	15	2023	2023	NUM
cana-5400	247	16	)	)	PUNCT
cana-5400	248	1	[	[	X
cana-5400	248	2	4	4	NUM
cana-5400	248	3	]	]	X
cana-5400	248	4	alghamdi	alghamdi	NOUN
cana-5400	248	5	,	,	PUNCT
cana-5400	248	6	r.	r.	PROPN
cana-5400	248	7	,	,	PUNCT
cana-5400	248	8	bellaiche	bellaiche	NOUN
cana-5400	248	9	,	,	PUNCT
cana-5400	248	10	m.	m.	NOUN
cana-5400	248	11	:	:	PUNCT
cana-5400	248	12	a	a	DET
cana-5400	248	13	cascaded	cascade	VERB
cana-5400	248	14	federated	federated	ADJ
cana-5400	248	15	deep	deep	ADJ
cana-5400	248	16	learning	learning	NOUN
cana-5400	248	17	based	base	VERB
cana-5400	248	18	framework	framework	NOUN
cana-5400	248	19	for	for	ADP
cana-5400	248	20	detecting	detect	VERB
cana-5400	248	21	wormhole	wormhole	NOUN
cana-5400	248	22	attacks	attack	NOUN
cana-5400	248	23	in	in	ADP
cana-5400	248	24	iot	iot	ADJ
cana-5400	248	25	networks	network	NOUN
cana-5400	248	26	.	.	PUNCT
cana-5400	249	1	computers	computer	NOUN
cana-5400	249	2	&	&	CCONJ
cana-5400	249	3	security	security	NOUN
cana-5400	249	4	125	125	NUM
cana-5400	249	5	,	,	PUNCT
cana-5400	249	6	103014	103014	NUM
cana-5400	249	7	(	(	PUNCT
cana-5400	249	8	2023	2023	NUM
cana-5400	249	9	)	)	PUNCT
cana-5400	250	1	[	[	X
cana-5400	250	2	5	5	NUM
cana-5400	250	3	]	]	X
cana-5400	250	4	heidari	heidari	ADJ
cana-5400	250	5	,	,	PUNCT
cana-5400	250	6	a.	a.	NOUN
cana-5400	250	7	,	,	PUNCT
cana-5400	250	8	jabraeil	jabraeil	PROPN
cana-5400	250	9	jamali	jamali	PROPN
cana-5400	250	10	,	,	PUNCT
cana-5400	250	11	m.a	m.a	PROPN
cana-5400	250	12	.	.	PROPN
cana-5400	250	13	:	:	PUNCT
cana-5400	250	14	internet	internet	NOUN
cana-5400	250	15	of	of	ADP
cana-5400	250	16	things	thing	NOUN
cana-5400	250	17	intrusion	intrusion	NOUN
cana-5400	250	18	detection	detection	NOUN
cana-5400	250	19	systems	system	NOUN
cana-5400	250	20	:	:	PUNCT
cana-5400	250	21	a	a	DET
cana-5400	250	22	comprehensive	comprehensive	ADJ
cana-5400	250	23	review	review	NOUN
cana-5400	250	24	and	and	CCONJ
cana-5400	250	25	future	future	ADJ
cana-5400	250	26	directions	direction	NOUN
cana-5400	250	27	.	.	PUNCT
cana-5400	251	1	cluster	cluster	NOUN
cana-5400	251	2	computing	computing	NOUN
cana-5400	251	3	,	,	PUNCT
cana-5400	251	4	1–28	1–28	PROPN
cana-5400	251	5	(	(	PUNCT
cana-5400	251	6	2022	2022	NUM
cana-5400	251	7	)	)	PUNCT
cana-5400	252	1	[	[	X
cana-5400	252	2	6	6	NUM
cana-5400	252	3	]	]	PUNCT
cana-5400	252	4	sezgin	sezgin	NOUN
cana-5400	252	5	,	,	PUNCT
cana-5400	252	6	a.	a.	NOUN
cana-5400	252	7	,	,	PUNCT
cana-5400	252	8	boyacı	boyacı	NOUN
cana-5400	252	9	,	,	PUNCT
cana-5400	252	10	a.	a.	NOUN
cana-5400	252	11	:	:	PUNCT
cana-5400	252	12	aid4i	aid4i	NOUN
cana-5400	252	13	:	:	PUNCT
cana-5400	252	14	an	an	DET
cana-5400	252	15	intrusion	intrusion	NOUN
cana-5400	252	16	detection	detection	NOUN
cana-5400	252	17	framework	framework	NOUN
cana-5400	252	18	for	for	ADP
cana-5400	252	19	industrial	industrial	ADJ
cana-5400	252	20	internet	internet	NOUN
cana-5400	252	21	of	of	ADP
cana-5400	252	22	things	thing	NOUN
cana-5400	252	23	using	use	VERB
cana-5400	252	24	automated	automate	VERB
cana-5400	252	25	machine	machine	NOUN
cana-5400	252	26	learning	learning	NOUN
cana-5400	252	27	.	.	PUNCT
cana-5400	253	1	computers	computer	NOUN
cana-5400	253	2	,	,	PUNCT
cana-5400	253	3	materials	material	NOUN
cana-5400	253	4	&	&	CCONJ
cana-5400	253	5	continua	continua	PROPN
cana-5400	253	6	76(2	76(2	NUM
cana-5400	253	7	)	)	PUNCT
cana-5400	253	8	(	(	PUNCT
cana-5400	253	9	2023	2023	NUM
cana-5400	253	10	)	)	PUNCT
cana-5400	253	11	.	.	PUNCT
cana-5400	254	1	[	[	X
cana-5400	254	2	7	7	NUM
cana-5400	254	3	]	]	X
cana-5400	254	4	talukder	talukder	NOUN
cana-5400	254	5	,	,	PUNCT
cana-5400	254	6	m.a	m.a	PROPN
cana-5400	254	7	.	.	PROPN
cana-5400	254	8	,	,	PUNCT
cana-5400	254	9	hasan	hasan	PROPN
cana-5400	254	10	,	,	PUNCT
cana-5400	254	11	k.f	k.f	PROPN
cana-5400	254	12	.	.	PROPN
cana-5400	254	13	,	,	PUNCT
cana-5400	254	14	islam	islam	PROPN
cana-5400	254	15	,	,	PUNCT
cana-5400	254	16	m.m	m.m	PROPN
cana-5400	254	17	.	.	PROPN
cana-5400	254	18	,	,	PUNCT
cana-5400	254	19	uddin	uddin	PROPN
cana-5400	254	20	,	,	PUNCT
cana-5400	254	21	m.a	m.a	PROPN
cana-5400	254	22	.	.	PROPN
cana-5400	254	23	,	,	PUNCT
cana-5400	254	24	akhter	akhter	PROPN
cana-5400	254	25	,	,	PUNCT
cana-5400	254	26	a.	a.	PROPN
cana-5400	254	27	,	,	PUNCT
cana-5400	254	28	yousuf	yousuf	PROPN
cana-5400	254	29	,	,	PUNCT
cana-5400	254	30	m.a	m.a	PROPN
cana-5400	254	31	.	.	PROPN
cana-5400	254	32	,	,	PUNCT
cana-5400	254	33	alharbi	alharbi	PROPN
cana-5400	254	34	,	,	PUNCT
cana-5400	254	35	f.	f.	PROPN
cana-5400	254	36	,	,	PUNCT
cana-5400	254	37	moni	moni	PROPN
cana-5400	254	38	,	,	PUNCT
cana-5400	254	39	m.a	m.a	PROPN
cana-5400	254	40	.	.	PROPN
cana-5400	254	41	:	:	PUNCT
cana-5400	255	1	a	a	DET
cana-5400	255	2	dependable	dependable	ADJ
cana-5400	255	3	hybrid	hybrid	ADJ
cana-5400	255	4	machine	machine	NOUN
cana-5400	255	5	learning	learning	NOUN
cana-5400	255	6	model	model	NOUN
cana-5400	255	7	for	for	ADP
cana-5400	255	8	network	network	NOUN
cana-5400	255	9	intrusion	intrusion	NOUN
cana-5400	255	10	detection	detection	NOUN
cana-5400	255	11	.	.	PUNCT
cana-5400	256	1	journal	journal	NOUN
cana-5400	256	2	of	of	ADP
cana-5400	256	3	information	information	NOUN
cana-5400	256	4	security	security	NOUN
cana-5400	256	5	and	and	CCONJ
cana-5400	256	6	applications	application	NOUN
cana-5400	256	7	72	72	NUM
cana-5400	256	8	,	,	PUNCT
cana-5400	256	9	103405	103405	NUM
cana-5400	256	10	(	(	PUNCT
cana-5400	256	11	2023	2023	NUM
cana-5400	256	12	)	)	PUNCT
cana-5400	256	13	.	.	PUNCT
cana-5400	257	1	[	[	X
cana-5400	257	2	8	8	NUM
cana-5400	257	3	]	]	X
cana-5400	257	4	sharmin	sharmin	PROPN
cana-5400	257	5	,	,	PUNCT
cana-5400	257	6	s.	s.	PROPN
cana-5400	257	7	,	,	PUNCT
cana-5400	257	8	ahmedy	ahmedy	PROPN
cana-5400	257	9	,	,	PUNCT
cana-5400	257	10	i.	i.	PROPN
cana-5400	257	11	,	,	PUNCT
cana-5400	257	12	md	md	PROPN
cana-5400	257	13	noor	noor	PROPN
cana-5400	257	14	,	,	PUNCT
cana-5400	257	15	r.	r.	PROPN
cana-5400	257	16	:	:	PUNCT
cana-5400	257	17	an	an	DET
cana-5400	257	18	energy	energy	NOUN
cana-5400	257	19	-	-	PUNCT
cana-5400	257	20	efficient	efficient	ADJ
cana-5400	257	21	data	data	NOUN
cana-5400	257	22	aggregation	aggregation	NOUN
cana-5400	257	23	clustering	cluster	VERB
cana-5400	257	24	algorithm	algorithm	NOUN
cana-5400	257	25	for	for	ADP
cana-5400	257	26	wireless	wireless	ADJ
cana-5400	257	27	sensor	sensor	NOUN
cana-5400	257	28	networks	network	NOUN
cana-5400	257	29	using	use	VERB
cana-5400	257	30	hybrid	hybrid	ADJ
cana-5400	257	31	pso	pso	NOUN
cana-5400	257	32	.	.	PUNCT
cana-5400	258	1	energies	energy	NOUN
cana-5400	258	2	16(5	16(5	NUM
cana-5400	258	3	)	)	PUNCT
cana-5400	258	4	,	,	PUNCT
cana-5400	258	5	2487	2487	NUM
cana-5400	258	6	(	(	PUNCT
cana-5400	258	7	2023	2023	NUM
cana-5400	258	8	)	)	PUNCT
cana-5400	258	9	.	.	PUNCT
cana-5400	259	1	[	[	X
cana-5400	259	2	9	9	NUM
cana-5400	259	3	]	]	PUNCT
cana-5400	259	4	tan	tan	PROPN
cana-5400	259	5	,	,	PUNCT
cana-5400	259	6	x.	x.	PROPN
cana-5400	259	7	,	,	PUNCT
cana-5400	259	8	su	su	PROPN
cana-5400	259	9	,	,	PUNCT
cana-5400	259	10	s.	s.	PROPN
cana-5400	259	11	,	,	PUNCT
cana-5400	259	12	huang	huang	PROPN
cana-5400	259	13	,	,	PUNCT
cana-5400	259	14	z.	z.	PROPN
cana-5400	259	15	,	,	PUNCT
cana-5400	259	16	guo	guo	PROPN
cana-5400	259	17	,	,	PUNCT
cana-5400	259	18	x.	x.	PROPN
cana-5400	259	19	,	,	PUNCT
cana-5400	259	20	zuo	zuo	PROPN
cana-5400	259	21	,	,	PUNCT
cana-5400	259	22	z.	z.	PROPN
cana-5400	259	23	,	,	PUNCT
cana-5400	259	24	sun	sun	PROPN
cana-5400	259	25	,	,	PUNCT
cana-5400	259	26	x.	x.	PROPN
cana-5400	259	27	,	,	PUNCT
cana-5400	259	28	li	li	PROPN
cana-5400	259	29	,	,	PUNCT
cana-5400	259	30	l.	l.	PROPN
cana-5400	259	31	:	:	PUNCT
cana-5400	259	32	wireless	wireless	ADJ
cana-5400	259	33	sensor	sensor	NOUN
cana-5400	259	34	networks	network	NOUN
cana-5400	259	35	intrusion	intrusion	NOUN
cana-5400	259	36	detection	detection	NOUN
cana-5400	259	37	based	base	VERB
cana-5400	259	38	on	on	ADP
cana-5400	259	39	smote	smote	NOUN
cana-5400	259	40	and	and	CCONJ
cana-5400	259	41	the	the	DET
cana-5400	259	42	random	random	ADJ
cana-5400	259	43	forest	forest	NOUN
cana-5400	259	44	algorithm	algorithm	NOUN
cana-5400	259	45	.	.	PUNCT
cana-5400	260	1	sensors	sensor	NOUN
cana-5400	260	2	19(1	19(1	NUM
cana-5400	260	3	)	)	PUNCT
cana-5400	260	4	,	,	PUNCT
cana-5400	260	5	203	203	NUM
cana-5400	260	6	(	(	PUNCT
cana-5400	260	7	2019	2019	NUM
cana-5400	260	8	)	)	PUNCT
cana-5400	261	1	[	[	X
cana-5400	261	2	10	10	NUM
cana-5400	261	3	]	]	PUNCT
cana-5400	261	4	ifzarne	ifzarne	ADJ
cana-5400	261	5	,	,	PUNCT
cana-5400	261	6	s.	s.	PROPN
cana-5400	261	7	,	,	PUNCT
cana-5400	261	8	tabbaa	tabbaa	PROPN
cana-5400	261	9	,	,	PUNCT
cana-5400	261	10	h.	h.	PROPN
cana-5400	261	11	,	,	PUNCT
cana-5400	261	12	hafidi	hafidi	NOUN
cana-5400	261	13	,	,	PUNCT
cana-5400	261	14	i.	i.	NOUN
cana-5400	261	15	,	,	PUNCT
cana-5400	261	16	lamghari	lamghari	PROPN
cana-5400	261	17	,	,	PUNCT
cana-5400	261	18	n.	n.	NOUN
cana-5400	261	19	:	:	PUNCT
cana-5400	261	20	anomaly	anomaly	NOUN
cana-5400	261	21	detection	detection	NOUN
cana-5400	261	22	using	use	VERB
cana-5400	261	23	machine	machine	NOUN
cana-5400	261	24	learning	learn	VERB
cana-5400	261	25	techniques	technique	NOUN
cana-5400	261	26	in	in	ADP
cana-5400	261	27	wireless	wireless	ADJ
cana-5400	261	28	sensor	sensor	NOUN
cana-5400	261	29	networks	network	NOUN
cana-5400	261	30	.	.	PUNCT
cana-5400	262	1	in	in	ADP
cana-5400	262	2	:	:	PUNCT
cana-5400	262	3	journal	journal	PROPN
cana-5400	262	4	of	of	ADP
cana-5400	262	5	physics	physics	PROPN
cana-5400	262	6	:	:	PUNCT
cana-5400	262	7	conference	conference	NOUN
cana-5400	262	8	series	series	NOUN
cana-5400	262	9	,	,	PUNCT
cana-5400	262	10	vol	vol	NOUN
cana-5400	262	11	.	.	PROPN
cana-5400	262	12	1743	1743	NUM
cana-5400	262	13	,	,	PUNCT
cana-5400	262	14	p.	p.	NOUN
cana-5400	262	15	012021	012021	NUM
cana-5400	262	16	(	(	PUNCT
cana-5400	262	17	2021	2021	NUM
cana-5400	262	18	)	)	PUNCT
cana-5400	262	19	.	.	PUNCT
cana-5400	263	1	iop	iop	NOUN
cana-5400	263	2	publishing	publish	VERB
cana-5400	263	3	[	[	X
cana-5400	263	4	11	11	NUM
cana-5400	263	5	]	]	PUNCT
cana-5400	263	6	alruhaily	alruhaily	ADV
cana-5400	263	7	,	,	PUNCT
cana-5400	263	8	n.m	n.m	PROPN
cana-5400	263	9	.	.	PROPN
cana-5400	263	10	,	,	PUNCT
cana-5400	263	11	ibrahim	ibrahim	PROPN
cana-5400	263	12	,	,	PUNCT
cana-5400	263	13	d.m	d.m	PROPN
cana-5400	263	14	.	.	PUNCT
cana-5400	263	15	:	:	PUNCT
cana-5400	263	16	a	a	DET
cana-5400	263	17	multi	multi	ADJ
cana-5400	263	18	-	-	ADJ
cana-5400	263	19	layer	layer	ADJ
cana-5400	263	20	machine	machine	NOUN
cana-5400	263	21	learning	learning	NOUN
cana-5400	263	22	-	-	PUNCT
cana-5400	263	23	based	base	VERB
cana-5400	263	24	intrusion	intrusion	NOUN
cana-5400	263	25	detection	detection	NOUN
cana-5400	263	26	system	system	NOUN
cana-5400	263	27	for	for	ADP
cana-5400	263	28	wireless	wireless	ADJ
cana-5400	263	29	sensor	sensor	NOUN
cana-5400	263	30	networks	network	NOUN
cana-5400	263	31	.	.	PUNCT
cana-5400	264	1	international	international	ADJ
cana-5400	264	2	journal	journal	NOUN
cana-5400	264	3	of	of	ADP
cana-5400	264	4	advanced	advanced	ADJ
cana-5400	264	5	computer	computer	NOUN
cana-5400	264	6	science	science	NOUN
cana-5400	264	7	and	and	CCONJ
cana-5400	264	8	applications	application	NOUN
cana-5400	264	9	12(4	12(4	NUM
cana-5400	264	10	)	)	PUNCT
cana-5400	264	11	,	,	PUNCT
cana-5400	264	12	281–288	281–288	NUM
cana-5400	264	13	(	(	PUNCT
cana-5400	264	14	2021	2021	NUM
cana-5400	264	15	)	)	PUNCT
cana-5400	264	16	.	.	PUNCT
cana-5400	265	1	[	[	X
cana-5400	265	2	12	12	NUM
cana-5400	265	3	]	]	X
cana-5400	265	4	zhang	zhang	PROPN
cana-5400	265	5	,	,	PUNCT
cana-5400	265	6	h.	h.	PROPN
cana-5400	265	7	,	,	PUNCT
cana-5400	265	8	huang	huang	PROPN
cana-5400	265	9	,	,	PUNCT
cana-5400	265	10	l.	l.	PROPN
cana-5400	265	11	,	,	PUNCT
cana-5400	265	12	wu	wu	PROPN
cana-5400	265	13	,	,	PUNCT
cana-5400	265	14	c.q	c.q	PROPN
cana-5400	265	15	.	.	PROPN
cana-5400	265	16	,	,	PUNCT
cana-5400	265	17	li	li	PROPN
cana-5400	265	18	,	,	PUNCT
cana-5400	265	19	z.	z.	PROPN
cana-5400	265	20	:	:	PUNCT
cana-5400	265	21	an	an	DET
cana-5400	265	22	effective	effective	ADJ
cana-5400	265	23	convolutional	convolutional	ADJ
cana-5400	265	24	neural	neural	ADJ
cana-5400	265	25	network	network	NOUN
cana-5400	265	26	based	base	VERB
cana-5400	265	27	on	on	ADP
cana-5400	265	28	smote	smote	ADJ
cana-5400	265	29	and	and	CCONJ
cana-5400	265	30	gaussian	gaussian	ADJ
cana-5400	265	31	mixture	mixture	NOUN
cana-5400	265	32	model	model	NOUN
cana-5400	265	33	for	for	ADP
cana-5400	265	34	intrusion	intrusion	NOUN
cana-5400	265	35	detection	detection	NOUN
cana-5400	265	36	in	in	ADP
cana-5400	265	37	imbalanced	imbalanced	ADJ
cana-5400	265	38	dataset	dataset	NOUN
cana-5400	265	39	.	.	PUNCT
cana-5400	266	1	computer	computer	NOUN
cana-5400	266	2	networks	network	NOUN
cana-5400	266	3	177	177	NUM
cana-5400	266	4	,	,	PUNCT
cana-5400	266	5	107315	107315	NUM
cana-5400	266	6	(	(	PUNCT
cana-5400	266	7	2020	2020	NUM
cana-5400	266	8	)	)	PUNCT
cana-5400	267	1	[	[	X
cana-5400	267	2	13	13	NUM
cana-5400	267	3	]	]	SYM
cana-5400	267	4	mohammadi	mohammadi	NOUN
cana-5400	267	5	,	,	PUNCT
cana-5400	267	6	s.	s.	PROPN
cana-5400	267	7	,	,	PUNCT
cana-5400	267	8	babagoli	babagoli	NOUN
cana-5400	267	9	,	,	PUNCT
cana-5400	267	10	m.	m.	NOUN
cana-5400	267	11	:	:	PUNCT
cana-5400	267	12	a	a	DET
cana-5400	267	13	novel	novel	ADJ
cana-5400	267	14	hybrid	hybrid	ADJ
cana-5400	267	15	hunger	hunger	NOUN
cana-5400	267	16	games	game	NOUN
cana-5400	267	17	algorithm	algorithm	NOUN
cana-5400	267	18	for	for	ADP
cana-5400	267	19	intrusion	intrusion	NOUN
cana-5400	267	20	detection	detection	NOUN
cana-5400	267	21	systems	system	NOUN
cana-5400	267	22	based	base	VERB
cana-5400	267	23	on	on	ADP
cana-5400	267	24	nonlinear	nonlinear	ADJ
cana-5400	267	25	regression	regression	NOUN
cana-5400	267	26	modeling	modeling	NOUN
cana-5400	267	27	.	.	PUNCT
cana-5400	268	1	international	international	ADJ
cana-5400	268	2	journal	journal	PROPN
cana-5400	268	3	of	of	ADP
cana-5400	268	4	information	information	NOUN
cana-5400	268	5	security	security	NOUN
cana-5400	268	6	,	,	PUNCT
cana-5400	268	7	1–19	1–19	PROPN
cana-5400	268	8	(	(	PUNCT
cana-5400	268	9	2023	2023	NUM
cana-5400	268	10	)	)	PUNCT
cana-5400	269	1	[	[	X
cana-5400	269	2	14	14	NUM
cana-5400	269	3	]	]	X
cana-5400	269	4	chandra	chandra	PROPN
cana-5400	269	5	,	,	PUNCT
cana-5400	269	6	w.	w.	PROPN
cana-5400	269	7	,	,	PUNCT
cana-5400	269	8	suprihatin	suprihatin	PROPN
cana-5400	269	9	,	,	PUNCT
cana-5400	269	10	b.	b.	PROPN
cana-5400	269	11	,	,	PUNCT
cana-5400	269	12	resti	resti	NOUN
cana-5400	269	13	,	,	PUNCT
cana-5400	269	14	y.	y.	NOUN
cana-5400	269	15	:	:	PUNCT
cana-5400	269	16	median	median	ADJ
cana-5400	269	17	-	-	PUNCT
cana-5400	269	18	knn	knn	PROPN
cana-5400	269	19	regressor	regressor	PROPN
cana-5400	269	20	-	-	PUNCT
cana-5400	269	21	smote	smote	PROPN
cana-5400	269	22	-	-	PUNCT
cana-5400	269	23	tomek	tomek	NOUN
cana-5400	269	24	links	link	NOUN
cana-5400	269	25	for	for	ADP
cana-5400	269	26	handling	handle	VERB
cana-5400	269	27	missing	missing	ADJ
cana-5400	269	28	and	and	CCONJ
cana-5400	269	29	imbalanced	imbalanced	ADJ
cana-5400	269	30	data	datum	NOUN
cana-5400	269	31	in	in	ADP
cana-5400	269	32	air	air	NOUN
cana-5400	269	33	quality	quality	NOUN
cana-5400	269	34	prediction	prediction	NOUN
cana-5400	269	35	.	.	PUNCT
cana-5400	270	1	symmetry	symmetry	NOUN
cana-5400	270	2	15(4	15(4	NUM
cana-5400	270	3	)	)	PUNCT
cana-5400	270	4	,	,	PUNCT
cana-5400	270	5	887	887	NUM
cana-5400	270	6	(	(	PUNCT
cana-5400	270	7	2023	2023	NUM
cana-5400	270	8	)	)	PUNCT
cana-5400	270	9	.	.	PUNCT
cana-5400	271	1	communications	communication	NOUN
cana-5400	271	2	on	on	ADP
cana-5400	271	3	applied	apply	VERB
cana-5400	271	4	nonlinear	nonlinear	ADJ
cana-5400	271	5	analysis	analysis	NOUN
cana-5400	271	6	issn	issn	NOUN
cana-5400	271	7	:	:	PUNCT
cana-5400	271	8	1074	1074	NUM
cana-5400	271	9	-	-	PUNCT
cana-5400	271	10	133x	133x	NUM
cana-5400	271	11	vol	vol	NOUN
cana-5400	271	12	32	32	NUM
cana-5400	271	13	no	no	NOUN
cana-5400	271	14	.	.	PUNCT
cana-5400	272	1	icmasd	icmasd	NOUN
cana-5400	272	2	(	(	PUNCT
cana-5400	272	3	2025	2025	NUM
cana-5400	272	4	)	)	PUNCT
cana-5400	272	5	1853	1853	NUM
cana-5400	272	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5400	273	1	[	[	X
cana-5400	273	2	15	15	NUM
cana-5400	273	3	]	]	PUNCT
cana-5400	273	4	rezvi	rezvi	VERB
cana-5400	273	5	,	,	PUNCT
cana-5400	273	6	m.a	m.a	PROPN
cana-5400	273	7	.	.	PROPN
cana-5400	273	8	,	,	PUNCT
cana-5400	273	9	moontaha	moontaha	PROPN
cana-5400	273	10	,	,	PUNCT
cana-5400	273	11	s.	s.	PROPN
cana-5400	273	12	,	,	PUNCT
cana-5400	273	13	trisha	trisha	PROPN
cana-5400	273	14	,	,	PUNCT
cana-5400	273	15	k.a	k.a	PROPN
cana-5400	273	16	.	.	PROPN
cana-5400	273	17	,	,	PUNCT
cana-5400	273	18	cynthia	cynthia	PROPN
cana-5400	273	19	,	,	PUNCT
cana-5400	273	20	s.t	s.t	PROPN
cana-5400	273	21	.	.	PROPN
cana-5400	273	22	,	,	PUNCT
cana-5400	273	23	ripon	ripon	PROPN
cana-5400	273	24	,	,	PUNCT
cana-5400	273	25	s.	s.	PROPN
cana-5400	273	26	:	:	PUNCT
cana-5400	273	27	data	data	PROPN
cana-5400	273	28	mining	mining	NOUN
cana-5400	273	29	approach	approach	NOUN
cana-5400	273	30	to	to	ADP
cana-5400	273	31	analyzing	analyze	VERB
cana-5400	273	32	intrusion	intrusion	NOUN
cana-5400	273	33	detection	detection	NOUN
cana-5400	273	34	of	of	ADP
cana-5400	273	35	wireless	wireless	ADJ
cana-5400	273	36	sensor	sensor	NOUN
cana-5400	273	37	network	network	NOUN
cana-5400	273	38	.	.	PUNCT
cana-5400	274	1	indonesian	indonesian	PROPN
cana-5400	274	2	j.	j.	PROPN
cana-5400	274	3	electric	electric	PROPN
cana-5400	274	4	.	.	PUNCT
cana-5400	275	1	eng	eng	PROPN
cana-5400	275	2	.	.	PUNCT
cana-5400	276	1	comput	comput	PROPN
cana-5400	276	2	.	.	PUNCT
cana-5400	277	1	sci	sci	PROPN
cana-5400	277	2	21(1	21(1	NUM
cana-5400	277	3	)	)	PUNCT
cana-5400	277	4	,	,	PUNCT
cana-5400	277	5	516–523	516–523	NUM
cana-5400	277	6	(	(	PUNCT
cana-5400	277	7	2021	2021	NUM
cana-5400	277	8	)	)	PUNCT
cana-5400	277	9	.	.	PUNCT
cana-5400	278	1	[	[	X
cana-5400	278	2	16	16	NUM
cana-5400	278	3	]	]	PUNCT
cana-5400	278	4	chandre	chandre	PROPN
cana-5400	278	5	,	,	PUNCT
cana-5400	278	6	p.	p.	PROPN
cana-5400	278	7	,	,	PUNCT
cana-5400	278	8	mahalle	mahalle	PROPN
cana-5400	278	9	,	,	PUNCT
cana-5400	278	10	p.	p.	PROPN
cana-5400	278	11	,	,	PUNCT
cana-5400	278	12	shinde	shinde	PROPN
cana-5400	278	13	,	,	PUNCT
cana-5400	278	14	g.	g.	PROPN
cana-5400	278	15	:	:	PUNCT
cana-5400	278	16	intrusion	intrusion	NOUN
cana-5400	278	17	prevention	prevention	NOUN
cana-5400	278	18	system	system	NOUN
cana-5400	278	19	using	use	VERB
cana-5400	278	20	convolutional	convolutional	ADJ
cana-5400	278	21	neural	neural	ADJ
cana-5400	278	22	network	network	NOUN
cana-5400	278	23	for	for	ADP
cana-5400	278	24	wireless	wireless	ADJ
cana-5400	278	25	sensor	sensor	NOUN
cana-5400	278	26	network	network	NOUN
cana-5400	278	27	.	.	PUNCT
cana-5400	279	1	int	int	PROPN
cana-5400	280	1	j	j	PROPN
cana-5400	280	2	artif	artif	PROPN
cana-5400	280	3	intell	intell	PROPN
cana-5400	280	4	issn	issn	PROPN
cana-5400	280	5	2252(8938	2252(8938	NUM
cana-5400	280	6	)	)	PUNCT
cana-5400	280	7	,	,	PUNCT
cana-5400	280	8	8938	8938	NUM
cana-5400	280	9	(	(	PUNCT
cana-5400	280	10	2022	2022	NUM
cana-5400	280	11	)	)	PUNCT
cana-5400	280	12	.	.	PUNCT
cana-5400	281	1	[	[	X
cana-5400	281	2	17	17	NUM
cana-5400	281	3	]	]	X
cana-5400	281	4	elsaid	elsaid	PROPN
cana-5400	281	5	,	,	PUNCT
cana-5400	281	6	s.a	s.a	PROPN
cana-5400	281	7	.	.	PROPN
cana-5400	281	8	,	,	PUNCT
cana-5400	281	9	albatati	albatati	PROPN
cana-5400	281	10	,	,	PUNCT
cana-5400	281	11	n.s	n.s	PROPN
cana-5400	281	12	.	.	PROPN
cana-5400	281	13	:	:	PUNCT
cana-5400	282	1	an	an	DET
cana-5400	282	2	optimized	optimize	VERB
cana-5400	282	3	collaborative	collaborative	ADJ
cana-5400	282	4	intrusion	intrusion	NOUN
cana-5400	282	5	detection	detection	NOUN
cana-5400	282	6	system	system	NOUN
cana-5400	282	7	for	for	ADP
cana-5400	282	8	wireless	wireless	ADJ
cana-5400	282	9	sensor	sensor	NOUN
cana-5400	282	10	networks	network	NOUN
cana-5400	282	11	.	.	PUNCT
cana-5400	283	1	soft	soft	ADJ
cana-5400	283	2	computing	computing	ADJ
cana-5400	283	3	24(16	24(16	PROPN
cana-5400	283	4	)	)	PUNCT
cana-5400	283	5	,	,	PUNCT
cana-5400	283	6	12553	12553	NUM
cana-5400	283	7	–	–	PUNCT
cana-5400	283	8	12567	12567	NUM
cana-5400	283	9	(	(	PUNCT
cana-5400	283	10	2020	2020	NUM
cana-5400	283	11	)	)	PUNCT
cana-5400	283	12	.	.	PUNCT
cana-5400	284	1	[	[	X
cana-5400	284	2	18	18	NUM
cana-5400	284	3	]	]	X
cana-5400	284	4	putrada	putrada	PROPN
cana-5400	284	5	,	,	PUNCT
cana-5400	284	6	a.g	a.g	PROPN
cana-5400	284	7	.	.	PROPN
cana-5400	284	8	,	,	PUNCT
cana-5400	284	9	alamsyah	alamsyah	PROPN
cana-5400	284	10	,	,	PUNCT
cana-5400	284	11	n.	n.	NOUN
cana-5400	284	12	,	,	PUNCT
cana-5400	284	13	pane	pane	PROPN
cana-5400	284	14	,	,	PUNCT
cana-5400	284	15	s.f	s.f	PROPN
cana-5400	284	16	.	.	PROPN
cana-5400	284	17	,	,	PUNCT
cana-5400	284	18	fauzan	fauzan	NOUN
cana-5400	284	19	,	,	PUNCT
cana-5400	284	20	m.n	m.n	PROPN
cana-5400	284	21	.	.	PUNCT
cana-5400	284	22	:	:	PUNCT
cana-5400	285	1	xgboost	xgboost	PROPN
cana-5400	285	2	for	for	ADP
cana-5400	285	3	ids	id	NOUN
cana-5400	285	4	on	on	ADP
cana-5400	285	5	wsn	wsn	PROPN
cana-5400	285	6	cyber	cyber	NOUN
cana-5400	285	7	attacks	attack	NOUN
cana-5400	285	8	with	with	ADP
cana-5400	285	9	imbalanced	imbalanced	ADJ
cana-5400	285	10	data	datum	NOUN
cana-5400	285	11	.	.	PUNCT
cana-5400	286	1	in	in	ADP
cana-5400	286	2	:	:	PUNCT
cana-5400	286	3	2022	2022	NUM
cana-5400	286	4	international	international	ADJ
cana-5400	286	5	symposium	symposium	NOUN
cana-5400	286	6	on	on	ADP
cana-5400	286	7	electronics	electronic	NOUN
cana-5400	286	8	and	and	CCONJ
cana-5400	286	9	smart	smart	ADJ
cana-5400	286	10	devices	device	NOUN
cana-5400	286	11	(	(	PUNCT
cana-5400	286	12	isesd	isesd	NOUN
cana-5400	286	13	)	)	PUNCT
cana-5400	286	14	,	,	PUNCT
cana-5400	286	15	pp	pp	PROPN
cana-5400	286	16	.	.	PUNCT
cana-5400	287	1	1–7	1–7	NUM
cana-5400	287	2	(	(	PUNCT
cana-5400	287	3	2022	2022	NUM
cana-5400	287	4	)	)	PUNCT
cana-5400	287	5	.	.	PUNCT
cana-5400	288	1	ieee	ieee	NOUN
cana-5400	288	2	.	.	PUNCT
cana-5400	289	1	[	[	X
cana-5400	289	2	19	19	NUM
cana-5400	289	3	]	]	X
cana-5400	289	4	khan	khan	PROPN
cana-5400	289	5	,	,	PUNCT
cana-5400	289	6	i.a	i.a	PROPN
cana-5400	289	7	.	.	PROPN
cana-5400	289	8	,	,	PUNCT
cana-5400	289	9	moustafa	moustafa	PROPN
cana-5400	289	10	,	,	PUNCT
cana-5400	289	11	n.	n.	NOUN
cana-5400	289	12	,	,	PUNCT
cana-5400	289	13	pi	pi	PROPN
cana-5400	289	14	,	,	PUNCT
cana-5400	289	15	d.	d.	PROPN
cana-5400	289	16	,	,	PUNCT
cana-5400	289	17	sallam	sallam	PROPN
cana-5400	289	18	,	,	PUNCT
cana-5400	289	19	k.m	k.m	PROPN
cana-5400	289	20	.	.	PROPN
cana-5400	289	21	,	,	PUNCT
cana-5400	289	22	zomaya	zomaya	PROPN
cana-5400	289	23	,	,	PUNCT
cana-5400	289	24	a.y	a.y	PROPN
cana-5400	289	25	.	.	PROPN
cana-5400	289	26	,	,	PUNCT
cana-5400	289	27	li	li	PROPN
cana-5400	289	28	,	,	PUNCT
cana-5400	289	29	b.	b.	PROPN
cana-5400	289	30	:	:	PUNCT
cana-5400	289	31	a	a	DET
cana-5400	289	32	new	new	ADJ
cana-5400	289	33	explainable	explainable	ADJ
cana-5400	289	34	deep	deep	ADJ
cana-5400	289	35	learning	learning	NOUN
cana-5400	289	36	framework	framework	NOUN
cana-5400	289	37	for	for	ADP
cana-5400	289	38	cyber	cyber	ADJ
cana-5400	289	39	threat	threat	NOUN
cana-5400	289	40	discovery	discovery	NOUN
cana-5400	289	41	in	in	ADP
cana-5400	289	42	industrial	industrial	ADJ
cana-5400	289	43	iot	iot	NOUN
cana-5400	289	44	networks	network	NOUN
cana-5400	289	45	.	.	PUNCT
cana-5400	290	1	ieee	ieee	PROPN
cana-5400	290	2	internet	internet	NOUN
cana-5400	290	3	of	of	ADP
cana-5400	290	4	things	thing	NOUN
cana-5400	290	5	journal	journal	PROPN
cana-5400	290	6	9(13	9(13	NUM
cana-5400	290	7	)	)	PUNCT
cana-5400	290	8	,	,	PUNCT
cana-5400	290	9	11604	11604	NUM
cana-5400	290	10	–	–	PUNCT
cana-5400	290	11	11613	11613	NUM
cana-5400	290	12	(	(	PUNCT
cana-5400	290	13	2021	2021	NUM
cana-5400	290	14	)	)	PUNCT
cana-5400	290	15	.	.	PUNCT
cana-5400	291	1	[	[	X
cana-5400	291	2	20	20	NUM
cana-5400	291	3	]	]	PUNCT
cana-5400	291	4	almomani	almomani	PROPN
cana-5400	291	5	,	,	PUNCT
cana-5400	291	6	i.	i.	PROPN
cana-5400	291	7	,	,	PUNCT
cana-5400	291	8	al	al	PROPN
cana-5400	291	9	-	-	PUNCT
cana-5400	291	10	kasasbeh	kasasbeh	PROPN
cana-5400	291	11	,	,	PUNCT
cana-5400	291	12	b.	b.	PROPN
cana-5400	291	13	,	,	PUNCT
cana-5400	291	14	al	al	PROPN
cana-5400	291	15	-	-	PUNCT
cana-5400	291	16	akhras	akhras	PROPN
cana-5400	291	17	,	,	PUNCT
cana-5400	291	18	m.	m.	NOUN
cana-5400	291	19	,	,	PUNCT
cana-5400	291	20	et	et	PROPN
cana-5400	291	21	al	al	PROPN
cana-5400	291	22	.	.	PROPN
cana-5400	291	23	:	:	PUNCT
cana-5400	291	24	wsn	wsn	PROPN
cana-5400	291	25	-	-	PUNCT
cana-5400	291	26	ds	ds	ADJ
cana-5400	291	27	:	:	PUNCT
cana-5400	291	28	a	a	DET
cana-5400	291	29	dataset	dataset	NOUN
cana-5400	291	30	for	for	ADP
cana-5400	291	31	intrusion	intrusion	NOUN
cana-5400	291	32	detection	detection	NOUN
cana-5400	291	33	systems	system	NOUN
cana-5400	291	34	in	in	ADP
cana-5400	291	35	wireless	wireless	ADJ
cana-5400	291	36	sensor	sensor	NOUN
cana-5400	291	37	networks	network	NOUN
cana-5400	291	38	.	.	PUNCT
cana-5400	292	1	journal	journal	NOUN
cana-5400	292	2	of	of	ADP
cana-5400	292	3	sensors	sensor	NOUN
cana-5400	292	4	2016	2016	NUM
cana-5400	292	5	(	(	PUNCT
cana-5400	292	6	2016	2016	NUM
cana-5400	292	7	)	)	PUNCT
cana-5400	292	8	.	.	PUNCT
cana-5400	293	1	[	[	X
cana-5400	293	2	21	21	NUM
cana-5400	293	3	]	]	X
cana-5400	293	4	ahmed	ahmed	PROPN
cana-5400	293	5	,	,	PUNCT
cana-5400	293	6	n.	n.	PROPN
cana-5400	293	7	,	,	PUNCT
cana-5400	293	8	ahammed	ahamme	VERB
cana-5400	293	9	,	,	PUNCT
cana-5400	293	10	r.	r.	PROPN
cana-5400	293	11	,	,	PUNCT
cana-5400	293	12	islam	islam	PROPN
cana-5400	293	13	,	,	PUNCT
cana-5400	293	14	m.m	m.m	PROPN
cana-5400	293	15	.	.	PROPN
cana-5400	293	16	,	,	PUNCT
cana-5400	293	17	uddin	uddin	PROPN
cana-5400	293	18	,	,	PUNCT
cana-5400	293	19	m.a	m.a	PROPN
cana-5400	293	20	.	.	PROPN
cana-5400	293	21	,	,	PUNCT
cana-5400	293	22	akhter	akhter	PROPN
cana-5400	293	23	,	,	PUNCT
cana-5400	293	24	a.	a.	NOUN
cana-5400	293	25	,	,	PUNCT
cana-5400	293	26	talukder	talukder	NOUN
cana-5400	293	27	,	,	PUNCT
cana-5400	293	28	m.a	m.a	PROPN
cana-5400	293	29	.	.	PROPN
cana-5400	293	30	,	,	PUNCT
cana-5400	293	31	paul	paul	PROPN
cana-5400	293	32	,	,	PUNCT
cana-5400	293	33	b.k	b.k	PROPN
cana-5400	293	34	.	.	PUNCT
cana-5400	293	35	:	:	PUNCT
cana-5400	293	36	machine	machine	NOUN
cana-5400	293	37	learning	learning	NOUN
cana-5400	293	38	based	base	VERB
cana-5400	293	39	diabetes	diabetes	NOUN
cana-5400	293	40	prediction	prediction	NOUN
cana-5400	293	41	and	and	CCONJ
cana-5400	293	42	development	development	NOUN
cana-5400	293	43	of	of	ADP
cana-5400	293	44	smart	smart	ADJ
cana-5400	293	45	web	web	NOUN
cana-5400	293	46	application	application	NOUN
cana-5400	293	47	.	.	PUNCT
cana-5400	294	1	international	international	ADJ
cana-5400	294	2	journal	journal	PROPN
cana-5400	294	3	of	of	ADP
cana-5400	294	4	cognitive	cognitive	ADJ
cana-5400	294	5	computing	computing	NOUN
cana-5400	294	6	in	in	ADP
cana-5400	294	7	engineering	engineering	NOUN
cana-5400	294	8	2	2	NUM
cana-5400	294	9	,	,	PUNCT
cana-5400	294	10	229–241	229–241	NUM
cana-5400	294	11	(	(	PUNCT
cana-5400	294	12	2021	2021	NUM
cana-5400	294	13	)	)	PUNCT
cana-5400	294	14	.	.	PUNCT
cana-5400	295	1	[	[	X
cana-5400	295	2	22	22	NUM
cana-5400	295	3	]	]	X
cana-5400	295	4	ahmad	ahmad	PROPN
cana-5400	295	5	,	,	PUNCT
cana-5400	295	6	m.	m.	NOUN
cana-5400	295	7	,	,	PUNCT
cana-5400	295	8	riaz	riaz	PROPN
cana-5400	295	9	,	,	PUNCT
cana-5400	295	10	q.	q.	PROPN
cana-5400	295	11	,	,	PUNCT
cana-5400	295	12	zeeshan	zeeshan	PROPN
cana-5400	295	13	,	,	PUNCT
cana-5400	295	14	m.	m.	NOUN
cana-5400	295	15	,	,	PUNCT
cana-5400	295	16	tahir	tahir	PROPN
cana-5400	295	17	,	,	PUNCT
cana-5400	295	18	h.	h.	PROPN
cana-5400	295	19	,	,	PUNCT
cana-5400	295	20	haider	haider	PROPN
cana-5400	295	21	,	,	PUNCT
cana-5400	295	22	s.a	s.a	PROPN
cana-5400	295	23	.	.	PROPN
cana-5400	295	24	,	,	PUNCT
cana-5400	295	25	khan	khan	PROPN
cana-5400	295	26	,	,	PUNCT
cana-5400	295	27	m.s	m.s	PROPN
cana-5400	295	28	.	.	PROPN
cana-5400	295	29	:	:	PUNCT
cana-5400	295	30	intrusion	intrusion	NOUN
cana-5400	295	31	detection	detection	NOUN
cana-5400	295	32	in	in	ADP
cana-5400	295	33	internet	internet	NOUN
cana-5400	295	34	of	of	ADP
cana-5400	295	35	things	thing	NOUN
cana-5400	295	36	using	use	VERB
cana-5400	295	37	supervised	supervised	ADJ
cana-5400	295	38	machine	machine	NOUN
cana-5400	295	39	learning	learning	NOUN
cana-5400	295	40	based	base	VERB
cana-5400	295	41	on	on	ADP
cana-5400	295	42	application	application	NOUN
cana-5400	295	43	and	and	CCONJ
cana-5400	295	44	transport	transport	NOUN
cana-5400	295	45	layer	layer	NOUN
cana-5400	295	46	features	feature	VERB
cana-5400	295	47	using	use	VERB
cana-5400	295	48	unsw	unsw	PROPN
cana-5400	295	49	-	-	PUNCT
cana-5400	295	50	nb15	nb15	PROPN
cana-5400	295	51	data	data	NOUN
cana-5400	295	52	-	-	PUNCT
cana-5400	295	53	set	set	NOUN
cana-5400	295	54	.	.	PUNCT
cana-5400	296	1	eurasip	eurasip	PROPN
cana-5400	296	2	journal	journal	PROPN
cana-5400	296	3	on	on	ADP
cana-5400	296	4	wireless	wireless	ADJ
cana-5400	296	5	communications	communication	NOUN
cana-5400	296	6	and	and	CCONJ
cana-5400	296	7	networking	networking	NOUN
cana-5400	296	8	2021(1	2021(1	NUM
cana-5400	296	9	)	)	PUNCT
cana-5400	296	10	,	,	PUNCT
cana-5400	296	11	1–23	1–23	PROPN
cana-5400	296	12	(	(	PUNCT
cana-5400	296	13	2021	2021	NUM
cana-5400	296	14	)	)	PUNCT
cana-5400	296	15	.	.	PUNCT