id	sid	tid	token	lemma	pos
cana-4843	1	1	communications	communication	NOUN
cana-4843	1	2	on	on	ADP
cana-4843	1	3	applied	apply	VERB
cana-4843	1	4	nonlinear	nonlinear	ADJ
cana-4843	1	5	analysis	analysis	NOUN
cana-4843	1	6	issn	issn	NOUN
cana-4843	1	7	:	:	PUNCT
cana-4843	1	8	1074	1074	NUM
cana-4843	1	9	-	-	PUNCT
cana-4843	1	10	133x	133x	NUM
cana-4843	1	11	vol	vol	VERB
cana-4843	1	12	32	32	NUM
cana-4843	1	13	no	no	NOUN
cana-4843	1	14	.	.	PUNCT
cana-4843	2	1	10s	10	NOUN
cana-4843	2	2	(	(	PUNCT
cana-4843	2	3	2025	2025	NUM
cana-4843	2	4	)	)	PUNCT
cana-4843	2	5	489	489	NUM
cana-4843	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	2	7	investigate	investigate	VERB
cana-4843	2	8	effect	effect	NOUN
cana-4843	2	9	of	of	ADP
cana-4843	2	10	various	various	ADJ
cana-4843	2	11	feature	feature	NOUN
cana-4843	2	12	selection	selection	NOUN
cana-4843	2	13	methods	method	NOUN
cana-4843	2	14	for	for	ADP
cana-4843	2	15	attack	attack	NOUN
cana-4843	2	16	detection	detection	NOUN
cana-4843	2	17	of	of	ADP
cana-4843	2	18	doh	doh	PROPN
cana-4843	2	19	traffic	traffic	NOUN
cana-4843	2	20	vaka	vaka	VERB
cana-4843	2	21	padmavathi1	padmavathi1	PROPN
cana-4843	2	22	,	,	PUNCT
cana-4843	2	23	dr	dr	PROPN
cana-4843	2	24	.	.	PROPN
cana-4843	2	25	bobba	bobba	PROPN
cana-4843	2	26	basaveswararao2	basaveswararao2	PROPN
cana-4843	2	27	,	,	PUNCT
cana-4843	2	28	simhadri	simhadri	PROPN
cana-4843	2	29	mallikarjuna	mallikarjuna	PROPN
cana-4843	2	30	rao3	rao3	PROPN
cana-4843	2	31	*	*	PROPN
cana-4843	2	32	,	,	PUNCT
cana-4843	2	33	dr.guntupalli	dr.guntupalli	PROPN
cana-4843	2	34	neelima4	neelima4	PROPN
cana-4843	3	1	1,2,4	1,2,4	PROPN
cana-4843	3	2	department	department	NOUN
cana-4843	3	3	of	of	ADP
cana-4843	3	4	computer	computer	PROPN
cana-4843	3	5	science	science	PROPN
cana-4843	3	6	&	&	CCONJ
cana-4843	3	7	engineering	engineering	PROPN
cana-4843	3	8	,	,	PUNCT
cana-4843	3	9	acharya	acharya	PROPN
cana-4843	3	10	nagarjuna	nagarjuna	PROPN
cana-4843	3	11	university	university	PROPN
cana-4843	3	12	,	,	PUNCT
cana-4843	3	13	guntur	guntur	PROPN
cana-4843	3	14	,	,	PUNCT
cana-4843	3	15	522510	522510	NUM
cana-4843	3	16	,	,	PUNCT
cana-4843	3	17	india	india	PROPN
cana-4843	3	18	.	.	PROPN
cana-4843	3	19	3	3	NUM
cana-4843	3	20	assistant	assistant	NOUN
cana-4843	3	21	professor	professor	NOUN
cana-4843	3	22	,	,	PUNCT
cana-4843	3	23	vasireddy	vasireddy	NOUN
cana-4843	3	24	venkatadri	venkatadri	NOUN
cana-4843	3	25	international	international	ADJ
cana-4843	3	26	technological	technological	ADJ
cana-4843	3	27	university	university	NOUN
cana-4843	3	28	,	,	PUNCT
cana-4843	3	29	nambur	nambur	PROPN
cana-4843	3	30	,	,	PUNCT
cana-4843	3	31	india	india	PROPN
cana-4843	3	32	*	*	PUNCT
cana-4843	3	33	corresponding	correspond	VERB
cana-4843	3	34	author	author	NOUN
cana-4843	3	35	’s	’s	PART
cana-4843	3	36	email	email	NOUN
cana-4843	3	37	:	:	PUNCT
cana-4843	3	38	mallikarjun1254@gmail.com	mallikarjun1254@gmail.com	X
cana-4843	3	39	article	article	NOUN
cana-4843	3	40	history	history	NOUN
cana-4843	3	41	:	:	PUNCT
cana-4843	3	42	received	receive	VERB
cana-4843	3	43	:	:	PUNCT
cana-4843	3	44	12	12	NUM
cana-4843	3	45	-	-	SYM
cana-4843	3	46	01	01	NUM
cana-4843	3	47	-	-	PUNCT
cana-4843	3	48	2025	2025	NUM
cana-4843	3	49	revised	revise	VERB
cana-4843	3	50	:	:	PUNCT
cana-4843	3	51	15	15	NUM
cana-4843	3	52	-	-	NUM
cana-4843	3	53	02	02	NUM
cana-4843	3	54	-	-	PUNCT
cana-4843	3	55	2025	2025	NUM
cana-4843	3	56	accepted	accept	VERB
cana-4843	3	57	:	:	PUNCT
cana-4843	3	58	01	01	NUM
cana-4843	3	59	-	-	SYM
cana-4843	3	60	03	03	NUM
cana-4843	3	61	-	-	PUNCT
cana-4843	3	62	2025	2025	NUM
cana-4843	3	63	abstract	abstract	NOUN
cana-4843	3	64	:	:	PUNCT
cana-4843	3	65	dns	dns	NOUN
cana-4843	3	66	over	over	ADP
cana-4843	3	67	https	https	NOUN
cana-4843	3	68	(	(	PUNCT
cana-4843	3	69	doh	doh	PROPN
cana-4843	3	70	)	)	PUNCT
cana-4843	3	71	is	be	AUX
cana-4843	3	72	advance	advance	ADJ
cana-4843	3	73	version	version	NOUN
cana-4843	3	74	to	to	ADP
cana-4843	3	75	the	the	DET
cana-4843	3	76	current	current	ADJ
cana-4843	3	77	dns	dns	NOUN
cana-4843	3	78	protocol	protocol	NOUN
cana-4843	3	79	.	.	PUNCT
cana-4843	4	1	which	which	PRON
cana-4843	4	2	enhance	enhance	VERB
cana-4843	4	3	the	the	DET
cana-4843	4	4	security	security	NOUN
cana-4843	4	5	and	and	CCONJ
cana-4843	4	6	privacy	privacy	NOUN
cana-4843	4	7	to	to	ADP
cana-4843	4	8	the	the	DET
cana-4843	4	9	internet	internet	NOUN
cana-4843	4	10	browsing	browsing	NOUN
cana-4843	4	11	.	.	PUNCT
cana-4843	5	1	in	in	ADP
cana-4843	5	2	a	a	DET
cana-4843	5	3	existing	exist	VERB
cana-4843	5	4	dns	dns	NOUN
cana-4843	5	5	protocol	protocol	NOUN
cana-4843	5	6	,	,	PUNCT
cana-4843	5	7	when	when	SCONJ
cana-4843	5	8	address	address	NOUN
cana-4843	5	9	is	be	AUX
cana-4843	5	10	typed	type	VERB
cana-4843	5	11	in	in	ADP
cana-4843	5	12	the	the	DET
cana-4843	5	13	browser	browser	NOUN
cana-4843	5	14	,	,	PUNCT
cana-4843	5	15	the	the	DET
cana-4843	5	16	device	device	NOUN
cana-4843	5	17	queries	query	VERB
cana-4843	5	18	a	a	DET
cana-4843	5	19	dns	dns	NOUN
cana-4843	5	20	server	server	NOUN
cana-4843	5	21	to	to	PART
cana-4843	5	22	translate	translate	VERB
cana-4843	5	23	typed	type	VERB
cana-4843	5	24	web	web	NOUN
cana-4843	5	25	address	address	NOUN
cana-4843	5	26	into	into	ADP
cana-4843	5	27	ip	ip	DET
cana-4843	5	28	address	address	NOUN
cana-4843	5	29	.	.	PUNCT
cana-4843	6	1	this	this	DET
cana-4843	6	2	unscripted	unscripte	VERB
cana-4843	6	3	translate	translate	ADJ
cana-4843	6	4	process	process	NOUN
cana-4843	6	5	means	mean	VERB
cana-4843	6	6	dns	dns	NOUN
cana-4843	6	7	queries	query	NOUN
cana-4843	6	8	can	can	AUX
cana-4843	6	9	be	be	AUX
cana-4843	6	10	read	read	VERB
cana-4843	6	11	and	and	CCONJ
cana-4843	6	12	monitored	monitor	VERB
cana-4843	6	13	by	by	ADP
cana-4843	6	14	the	the	DET
cana-4843	6	15	third	third	ADJ
cana-4843	6	16	party	party	NOUN
cana-4843	6	17	,	,	PUNCT
cana-4843	6	18	leading	lead	VERB
cana-4843	6	19	to	to	ADP
cana-4843	6	20	unsecure	unsecure	NOUN
cana-4843	6	21	browsing	browse	VERB
cana-4843	6	22	.	.	PUNCT
cana-4843	7	1	to	to	PART
cana-4843	7	2	prevent	prevent	VERB
cana-4843	7	3	this	this	DET
cana-4843	7	4	unsecure	unsecure	NOUN
cana-4843	7	5	browsing	browsing	NOUN
cana-4843	7	6	,	,	PUNCT
cana-4843	7	7	doh	doh	PROPN
cana-4843	7	8	protocol	protocol	PROPN
cana-4843	7	9	is	be	AUX
cana-4843	7	10	introduced	introduce	VERB
cana-4843	7	11	.	.	PUNCT
cana-4843	8	1	doh	doh	PROPN
cana-4843	8	2	is	be	AUX
cana-4843	8	3	a	a	DET
cana-4843	8	4	modern	modern	ADJ
cana-4843	8	5	protocol	protocol	NOUN
cana-4843	8	6	that	that	PRON
cana-4843	8	7	performs	perform	VERB
cana-4843	8	8	domain	domain	NOUN
cana-4843	8	9	name	name	NOUN
cana-4843	8	10	system	system	NOUN
cana-4843	8	11	(	(	PUNCT
cana-4843	8	12	dns	dns	NOUN
cana-4843	8	13	)	)	PUNCT
cana-4843	8	14	resolution	resolution	NOUN
cana-4843	8	15	over	over	ADP
cana-4843	8	16	the	the	DET
cana-4843	8	17	https	https	NOUN
cana-4843	8	18	protocol	protocol	NOUN
cana-4843	8	19	;	;	PUNCT
cana-4843	8	20	enhance	enhance	VERB
cana-4843	8	21	the	the	DET
cana-4843	8	22	privacy	privacy	NOUN
cana-4843	8	23	and	and	CCONJ
cana-4843	8	24	integrity	integrity	NOUN
cana-4843	8	25	of	of	ADP
cana-4843	8	26	dns	dns	NOUN
cana-4843	8	27	queries	query	VERB
cana-4843	8	28	through	through	ADP
cana-4843	8	29	secure	secure	ADJ
cana-4843	8	30	,	,	PUNCT
cana-4843	8	31	encrypted	encrypt	VERB
cana-4843	8	32	channels	channel	NOUN
cana-4843	8	33	.	.	PUNCT
cana-4843	9	1	past	past	ADJ
cana-4843	9	2	research	research	NOUN
cana-4843	9	3	is	be	AUX
cana-4843	9	4	carried	carry	VERB
cana-4843	9	5	out	out	ADP
cana-4843	9	6	on	on	ADP
cana-4843	9	7	doh	doh	NOUN
cana-4843	9	8	using	use	VERB
cana-4843	9	9	various	various	ADJ
cana-4843	9	10	classifiers	classifier	NOUN
cana-4843	9	11	and	and	CCONJ
cana-4843	9	12	feature	feature	NOUN
cana-4843	9	13	selection	selection	NOUN
cana-4843	9	14	techniques	technique	NOUN
cana-4843	9	15	,	,	PUNCT
cana-4843	9	16	which	which	PRON
cana-4843	9	17	are	be	AUX
cana-4843	9	18	not	not	PART
cana-4843	9	19	given	give	VERB
cana-4843	9	20	satisfactory	satisfactory	ADJ
cana-4843	9	21	results	result	NOUN
cana-4843	9	22	.	.	PUNCT
cana-4843	10	1	this	this	DET
cana-4843	10	2	research	research	NOUN
cana-4843	10	3	uses	use	VERB
cana-4843	10	4	machine	machine	NOUN
cana-4843	10	5	learning	learning	NOUN
cana-4843	10	6	(	(	PUNCT
cana-4843	10	7	ml)-based	ml)-base	VERB
cana-4843	10	8	algorithms	algorithm	NOUN
cana-4843	10	9	to	to	PART
cana-4843	10	10	address	address	VERB
cana-4843	10	11	the	the	DET
cana-4843	10	12	challenge	challenge	NOUN
cana-4843	10	13	of	of	ADP
cana-4843	10	14	identifying	identify	VERB
cana-4843	10	15	malicious	malicious	ADJ
cana-4843	10	16	doh	doh	NOUN
cana-4843	10	17	connections	connection	NOUN
cana-4843	10	18	.	.	PUNCT
cana-4843	11	1	more	more	ADV
cana-4843	11	2	specifically	specifically	ADV
cana-4843	11	3	focused	focus	VERB
cana-4843	11	4	on	on	ADP
cana-4843	11	5	efficacy	efficacy	NOUN
cana-4843	11	6	of	of	ADP
cana-4843	11	7	the	the	DET
cana-4843	11	8	k	k	PROPN
cana-4843	11	9	-	-	PUNCT
cana-4843	11	10	nn	nn	ADJ
cana-4843	11	11	classifier	classifier	NOUN
cana-4843	11	12	for	for	ADP
cana-4843	11	13	detecting	detect	VERB
cana-4843	11	14	doh	doh	NOUN
cana-4843	11	15	tunnels	tunnel	NOUN
cana-4843	11	16	by	by	ADP
cana-4843	11	17	comparing	compare	VERB
cana-4843	11	18	its	its	PRON
cana-4843	11	19	performance	performance	NOUN
cana-4843	11	20	before	before	ADV
cana-4843	11	21	and	and	CCONJ
cana-4843	11	22	after	after	ADP
cana-4843	11	23	applying	apply	VERB
cana-4843	11	24	feature	feature	NOUN
cana-4843	11	25	selection	selection	NOUN
cana-4843	11	26	techniques	technique	NOUN
cana-4843	11	27	.	.	PUNCT
cana-4843	12	1	principal	principal	ADJ
cana-4843	12	2	component	component	NOUN
cana-4843	12	3	analysis	analysis	NOUN
cana-4843	12	4	(	(	PUNCT
cana-4843	12	5	pca	pca	NOUN
cana-4843	12	6	)	)	PUNCT
cana-4843	12	7	,	,	PUNCT
cana-4843	12	8	lasso	lasso	NOUN
cana-4843	12	9	regression	regression	NOUN
cana-4843	12	10	(	(	PUNCT
cana-4843	12	11	lr	lr	NOUN
cana-4843	12	12	)	)	PUNCT
cana-4843	12	13	,	,	PUNCT
cana-4843	12	14	logistic	logistic	ADJ
cana-4843	12	15	regression	regression	NOUN
cana-4843	12	16	(	(	PUNCT
cana-4843	12	17	lor	lor	NOUN
cana-4843	12	18	)	)	PUNCT
cana-4843	12	19	,	,	PUNCT
cana-4843	12	20	and	and	CCONJ
cana-4843	12	21	random	random	ADJ
cana-4843	12	22	forest	forest	NOUN
cana-4843	12	23	(	(	PUNCT
cana-4843	12	24	rf	rf	NOUN
cana-4843	12	25	)	)	PUNCT
cana-4843	12	26	are	be	AUX
cana-4843	12	27	the	the	DET
cana-4843	12	28	feature	feature	NOUN
cana-4843	12	29	selection	selection	NOUN
cana-4843	12	30	techniques	technique	NOUN
cana-4843	12	31	which	which	PRON
cana-4843	12	32	enhance	enhance	VERB
cana-4843	12	33	the	the	DET
cana-4843	12	34	robustness	robustness	NOUN
cana-4843	12	35	and	and	CCONJ
cana-4843	12	36	efficiency	efficiency	NOUN
cana-4843	12	37	of	of	ADP
cana-4843	12	38	the	the	DET
cana-4843	12	39	classifier	classifier	NOUN
cana-4843	12	40	.	.	PUNCT
cana-4843	13	1	two	two	NUM
cana-4843	13	2	main	main	ADJ
cana-4843	13	3	approaches	approach	NOUN
cana-4843	13	4	to	to	PART
cana-4843	13	5	feature	feature	NOUN
cana-4843	13	6	selection	selection	NOUN
cana-4843	13	7	are	be	AUX
cana-4843	13	8	explored	explore	VERB
cana-4843	13	9	:	:	PUNCT
cana-4843	13	10	selecting	select	VERB
cana-4843	13	11	features	feature	NOUN
cana-4843	13	12	before	before	ADP
cana-4843	13	13	training	train	VERB
cana-4843	13	14	the	the	DET
cana-4843	13	15	k	k	PROPN
cana-4843	13	16	-	-	PUNCT
cana-4843	13	17	nn	nn	PROPN
cana-4843	13	18	model	model	NOUN
cana-4843	13	19	to	to	PART
cana-4843	13	20	reduce	reduce	VERB
cana-4843	13	21	dimensionality	dimensionality	NOUN
cana-4843	13	22	and	and	CCONJ
cana-4843	13	23	eliminate	eliminate	VERB
cana-4843	13	24	potential	potential	ADJ
cana-4843	13	25	noise	noise	NOUN
cana-4843	13	26	,	,	PUNCT
cana-4843	13	27	and	and	CCONJ
cana-4843	13	28	selecting	select	VERB
cana-4843	13	29	features	feature	NOUN
cana-4843	13	30	after	after	ADP
cana-4843	13	31	training	training	NOUN
cana-4843	13	32	to	to	PART
cana-4843	13	33	leverage	leverage	VERB
cana-4843	13	34	insights	insight	NOUN
cana-4843	13	35	from	from	ADP
cana-4843	13	36	the	the	DET
cana-4843	13	37	k	k	PROPN
cana-4843	13	38	-	-	PUNCT
cana-4843	13	39	nn	nn	ADJ
cana-4843	13	40	model	model	NOUN
cana-4843	13	41	and	and	CCONJ
cana-4843	13	42	prioritize	prioritize	VERB
cana-4843	13	43	important	important	ADJ
cana-4843	13	44	features	feature	NOUN
cana-4843	13	45	.	.	PUNCT
cana-4843	14	1	the	the	DET
cana-4843	14	2	k	k	PROPN
cana-4843	14	3	-	-	PUNCT
cana-4843	14	4	nn	nn	PROPN
cana-4843	14	5	algorithm	algorithm	NOUN
cana-4843	14	6	's	's	PART
cana-4843	14	7	performance	performance	NOUN
cana-4843	14	8	is	be	AUX
cana-4843	14	9	evaluated	evaluate	VERB
cana-4843	14	10	before	before	ADP
cana-4843	14	11	and	and	CCONJ
cana-4843	14	12	after	after	ADP
cana-4843	14	13	feature	feature	NOUN
cana-4843	14	14	selection	selection	NOUN
cana-4843	14	15	to	to	PART
cana-4843	14	16	ensure	ensure	VERB
cana-4843	14	17	consistency	consistency	NOUN
cana-4843	14	18	and	and	CCONJ
cana-4843	14	19	reliability	reliability	NOUN
cana-4843	14	20	in	in	ADP
cana-4843	14	21	detecting	detect	VERB
cana-4843	14	22	malicious	malicious	ADJ
cana-4843	14	23	doh	doh	NOUN
cana-4843	14	24	connections	connection	NOUN
cana-4843	14	25	.	.	PUNCT
cana-4843	15	1	the	the	DET
cana-4843	15	2	results	result	NOUN
cana-4843	15	3	demonstrated	demonstrate	VERB
cana-4843	15	4	promising	promising	ADJ
cana-4843	15	5	outcomes	outcome	NOUN
cana-4843	15	6	,	,	PUNCT
cana-4843	15	7	achieved	achieve	VERB
cana-4843	15	8	tremendous	tremendous	ADJ
cana-4843	15	9	accuracy	accuracy	NOUN
cana-4843	15	10	in	in	ADP
cana-4843	15	11	the	the	DET
cana-4843	15	12	classification	classification	NOUN
cana-4843	15	13	task	task	NOUN
cana-4843	15	14	.	.	PUNCT
cana-4843	16	1	keywords	keyword	NOUN
cana-4843	16	2	:	:	PUNCT
cana-4843	16	3	dns	dns	NOUN
cana-4843	16	4	over	over	ADP
cana-4843	16	5	https	https	NOUN
cana-4843	16	6	,	,	PUNCT
cana-4843	16	7	malicious	malicious	ADJ
cana-4843	16	8	doh	doh	NOUN
cana-4843	16	9	,	,	PUNCT
cana-4843	16	10	machine	machine	NOUN
cana-4843	16	11	learning	learning	NOUN
cana-4843	16	12	,	,	PUNCT
cana-4843	16	13	classifier	classifier	NOUN
cana-4843	16	14	,	,	PUNCT
cana-4843	16	15	k	k	PROPN
cana-4843	16	16	-	-	PUNCT
cana-4843	16	17	nn	nn	ADJ
cana-4843	16	18	algorithm	algorithm	NOUN
cana-4843	16	19	,	,	PUNCT
cana-4843	16	20	feature	feature	NOUN
cana-4843	16	21	selection	selection	NOUN
cana-4843	16	22	techniques	technique	NOUN
cana-4843	16	23	.	.	PUNCT
cana-4843	17	1	1	1	X
cana-4843	17	2	.	.	X
cana-4843	17	3	introduction	introduction	NOUN
cana-4843	17	4	dns	dns	NOUN
cana-4843	17	5	plays	play	VERB
cana-4843	17	6	a	a	DET
cana-4843	17	7	vital	vital	ADJ
cana-4843	17	8	role	role	NOUN
cana-4843	17	9	in	in	ADP
cana-4843	17	10	internet	internet	NOUN
cana-4843	17	11	communication	communication	NOUN
cana-4843	17	12	by	by	ADP
cana-4843	17	13	translating	translate	VERB
cana-4843	17	14	domain	domain	NOUN
cana-4843	17	15	names	name	NOUN
cana-4843	17	16	(	(	PUNCT
cana-4843	17	17	e.g.	e.g.	ADV
cana-4843	17	18	,	,	PUNCT
cana-4843	17	19	www.example.com	www.example.com	PROPN
cana-4843	17	20	)	)	PUNCT
cana-4843	17	21	into	into	ADP
cana-4843	17	22	ip	ip	DET
cana-4843	17	23	addresses	address	NOUN
cana-4843	17	24	(	(	PUNCT
cana-4843	17	25	e.g.	e.g.	ADV
cana-4843	17	26	,	,	PUNCT
cana-4843	17	27	192.0.2.1	192.0.2.1	NUM
cana-4843	17	28	)	)	PUNCT
cana-4843	17	29	,	,	PUNCT
cana-4843	17	30	enabling	enable	VERB
cana-4843	17	31	computers	computer	NOUN
cana-4843	17	32	to	to	PART
cana-4843	17	33	locate	locate	VERB
cana-4843	17	34	and	and	CCONJ
cana-4843	17	35	connect	connect	VERB
cana-4843	17	36	to	to	ADP
cana-4843	17	37	resources	resource	NOUN
cana-4843	17	38	seamlessly	seamlessly	ADV
cana-4843	17	39	.	.	PUNCT
cana-4843	18	1	translation	translation	NOUN
cana-4843	18	2	of	of	ADP
cana-4843	18	3	human	human	ADJ
cana-4843	18	4	readable	readable	ADJ
cana-4843	18	5	domain	domain	NOUN
cana-4843	18	6	names	name	NOUN
cana-4843	18	7	into	into	ADP
cana-4843	18	8	machine	machine	NOUN
cana-4843	18	9	-	-	PUNCT
cana-4843	18	10	usable	usable	ADJ
cana-4843	18	11	ip	ip	DET
cana-4843	18	12	addresses	address	NOUN
cana-4843	18	13	and	and	CCONJ
cana-4843	18	14	vice	vice	NOUN
cana-4843	18	15	versa	versa	NOUN
cana-4843	18	16	is	be	AUX
cana-4843	18	17	an	an	DET
cana-4843	18	18	essential	essential	ADJ
cana-4843	18	19	feature	feature	NOUN
cana-4843	18	20	that	that	PRON
cana-4843	18	21	enables	enable	VERB
cana-4843	18	22	a	a	DET
cana-4843	18	23	user	user	NOUN
cana-4843	18	24	-	-	PUNCT
cana-4843	18	25	friendly	friendly	ADJ
cana-4843	18	26	usage	usage	NOUN
cana-4843	18	27	of	of	ADP
cana-4843	18	28	the	the	DET
cana-4843	18	29	network	network	NOUN
cana-4843	18	30	services	service	NOUN
cana-4843	18	31	.	.	PUNCT
cana-4843	19	1	traditionally	traditionally	ADV
cana-4843	19	2	,	,	PUNCT
cana-4843	19	3	this	this	DET
cana-4843	19	4	mechanism	mechanism	NOUN
cana-4843	19	5	is	be	AUX
cana-4843	19	6	performed	perform	VERB
cana-4843	19	7	by	by	ADP
cana-4843	19	8	domain	domain	NOUN
cana-4843	19	9	name	name	NOUN
cana-4843	19	10	system	system	NOUN
cana-4843	19	11	(	(	PUNCT
cana-4843	19	12	dns	dns	NOUN
cana-4843	19	13	)	)	PUNCT
cana-4843	20	1	[	[	X
cana-4843	20	2	1,2	1,2	NUM
cana-4843	20	3	]	]	PUNCT
cana-4843	20	4	in	in	ADP
cana-4843	20	5	the	the	DET
cana-4843	20	6	mailto:mallikarjun1254@gmail.com	mailto:mallikarjun1254@gmail.com	PROPN
cana-4843	20	7	communications	communication	NOUN
cana-4843	20	8	on	on	ADP
cana-4843	20	9	applied	apply	VERB
cana-4843	20	10	nonlinear	nonlinear	ADJ
cana-4843	20	11	analysis	analysis	NOUN
cana-4843	20	12	issn	issn	NOUN
cana-4843	20	13	:	:	PUNCT
cana-4843	20	14	1074	1074	NUM
cana-4843	20	15	-	-	PUNCT
cana-4843	20	16	133x	133x	NUM
cana-4843	20	17	vol	vol	VERB
cana-4843	20	18	32	32	NUM
cana-4843	20	19	no	no	NOUN
cana-4843	20	20	.	.	PUNCT
cana-4843	21	1	10s	10	NOUN
cana-4843	21	2	(	(	PUNCT
cana-4843	21	3	2025	2025	NUM
cana-4843	21	4	)	)	PUNCT
cana-4843	21	5	490	490	NUM
cana-4843	21	6	https://internationalpubls.com	https://internationalpubls.com	PROPN
cana-4843	21	7	internet	internet	NOUN
cana-4843	21	8	environment	environment	NOUN
cana-4843	21	9	.	.	PUNCT
cana-4843	22	1	dns	dns	NOUN
cana-4843	22	2	traffic	traffic	NOUN
cana-4843	22	3	plays	play	VERB
cana-4843	22	4	a	a	DET
cana-4843	22	5	vital	vital	ADJ
cana-4843	22	6	role	role	NOUN
cana-4843	22	7	in	in	ADP
cana-4843	22	8	various	various	ADJ
cana-4843	22	9	security	security	NOUN
cana-4843	22	10	systems	system	NOUN
cana-4843	22	11	.	.	PUNCT
cana-4843	23	1	before	before	SCONJ
cana-4843	23	2	an	an	DET
cana-4843	23	3	application	application	NOUN
cana-4843	23	4	can	can	AUX
cana-4843	23	5	establish	establish	VERB
cana-4843	23	6	a	a	DET
cana-4843	23	7	connection	connection	NOUN
cana-4843	23	8	,	,	PUNCT
cana-4843	23	9	it	it	PRON
cana-4843	23	10	must	must	AUX
cana-4843	23	11	translate	translate	VERB
cana-4843	23	12	a	a	DET
cana-4843	23	13	domain	domain	NOUN
cana-4843	23	14	name	name	NOUN
cana-4843	23	15	,	,	PUNCT
cana-4843	23	16	making	make	VERB
cana-4843	23	17	dns	dns	NOUN
cana-4843	23	18	traffic	traffic	NOUN
cana-4843	23	19	a	a	DET
cana-4843	23	20	key	key	ADJ
cana-4843	23	21	indicator	indicator	NOUN
cana-4843	23	22	of	of	ADP
cana-4843	23	23	potential	potential	ADJ
cana-4843	23	24	security	security	NOUN
cana-4843	23	25	threats	threat	NOUN
cana-4843	23	26	within	within	ADP
cana-4843	23	27	network	network	NOUN
cana-4843	23	28	traffic	traffic	NOUN
cana-4843	23	29	[	[	X
cana-4843	23	30	3	3	NUM
cana-4843	23	31	]	]	PUNCT
cana-4843	23	32	.	.	PUNCT
cana-4843	24	1	the	the	DET
cana-4843	24	2	ability	ability	NOUN
cana-4843	24	3	to	to	PART
cana-4843	24	4	read	read	VERB
cana-4843	24	5	these	these	DET
cana-4843	24	6	translated	translate	VERB
cana-4843	24	7	domain	domain	NOUN
cana-4843	24	8	names	name	NOUN
cana-4843	24	9	allows	allow	VERB
cana-4843	24	10	application	application	NOUN
cana-4843	24	11	firewalls	firewall	NOUN
cana-4843	24	12	to	to	PART
cana-4843	24	13	enforce	enforce	VERB
cana-4843	24	14	security	security	NOUN
cana-4843	24	15	policies	policy	NOUN
cana-4843	24	16	and	and	CCONJ
cana-4843	24	17	enables	enable	VERB
cana-4843	24	18	intrusion	intrusion	NOUN
cana-4843	24	19	detection	detection	NOUN
cana-4843	24	20	systems	system	NOUN
cana-4843	24	21	to	to	PART
cana-4843	24	22	identify	identify	VERB
cana-4843	24	23	suspicious	suspicious	ADJ
cana-4843	24	24	activities	activity	NOUN
cana-4843	24	25	,	,	PUNCT
cana-4843	24	26	such	such	ADJ
cana-4843	24	27	as	as	ADP
cana-4843	24	28	botnet	botnet	NOUN
cana-4843	24	29	operations	operation	NOUN
cana-4843	24	30	[	[	X
cana-4843	24	31	4	4	NUM
cana-4843	24	32	]	]	PUNCT
cana-4843	24	33	.	.	PUNCT
cana-4843	25	1	a	a	DET
cana-4843	25	2	surge	surge	NOUN
cana-4843	25	3	in	in	ADP
cana-4843	25	4	dns	dns	NOUN
cana-4843	25	5	queries	query	NOUN
cana-4843	25	6	can	can	AUX
cana-4843	25	7	suggest	suggest	VERB
cana-4843	25	8	the	the	DET
cana-4843	25	9	presence	presence	NOUN
cana-4843	25	10	of	of	ADP
cana-4843	25	11	communication	communication	NOUN
cana-4843	25	12	tunnels	tunnel	NOUN
cana-4843	25	13	over	over	ADP
cana-4843	25	14	dns	dns	NOUN
cana-4843	25	15	,	,	PUNCT
cana-4843	25	16	as	as	SCONJ
cana-4843	25	17	examined	examine	VERB
cana-4843	25	18	in	in	ADP
cana-4843	25	19	various	various	ADJ
cana-4843	25	20	studies	study	NOUN
cana-4843	25	21	[	[	X
cana-4843	25	22	5	5	NUM
cana-4843	25	23	]	]	PUNCT
cana-4843	25	24	.	.	PUNCT
cana-4843	26	1	this	this	DET
cana-4843	26	2	type	type	NOUN
cana-4843	26	3	of	of	ADP
cana-4843	26	4	suspicious	suspicious	ADJ
cana-4843	26	5	traffic	traffic	NOUN
cana-4843	26	6	may	may	AUX
cana-4843	26	7	indicate	indicate	VERB
cana-4843	26	8	data	datum	NOUN
cana-4843	26	9	exfiltration	exfiltration	NOUN
cana-4843	26	10	,	,	PUNCT
cana-4843	26	11	which	which	PRON
cana-4843	26	12	is	be	AUX
cana-4843	26	13	critical	critical	ADJ
cana-4843	26	14	to	to	PART
cana-4843	26	15	detect	detect	VERB
cana-4843	26	16	promptly	promptly	ADV
cana-4843	26	17	,	,	PUNCT
cana-4843	26	18	particularly	particularly	ADV
cana-4843	26	19	in	in	ADP
cana-4843	26	20	commercial	commercial	ADJ
cana-4843	26	21	settings	setting	NOUN
cana-4843	26	22	.	.	PUNCT
cana-4843	27	1	recently	recently	ADV
cana-4843	27	2	,	,	PUNCT
cana-4843	27	3	visibility	visibility	NOUN
cana-4843	27	4	into	into	ADP
cana-4843	27	5	dns	dns	NOUN
cana-4843	27	6	communication	communication	NOUN
cana-4843	27	7	has	have	AUX
cana-4843	27	8	been	be	AUX
cana-4843	27	9	linked	link	VERB
cana-4843	27	10	to	to	ADP
cana-4843	27	11	potential	potential	ADJ
cana-4843	27	12	eavesdropping	eavesdropping	NOUN
cana-4843	27	13	and	and	CCONJ
cana-4843	27	14	user	user	NOUN
cana-4843	27	15	activity	activity	NOUN
cana-4843	27	16	profiling	profiling	NOUN
cana-4843	27	17	,	,	PUNCT
cana-4843	27	18	often	often	ADV
cana-4843	27	19	driven	drive	VERB
cana-4843	27	20	by	by	ADP
cana-4843	27	21	commercial	commercial	ADJ
cana-4843	27	22	interests	interest	NOUN
cana-4843	27	23	.	.	PUNCT
cana-4843	28	1	this	this	PRON
cana-4843	28	2	is	be	AUX
cana-4843	28	3	because	because	SCONJ
cana-4843	28	4	anyone	anyone	PRON
cana-4843	28	5	along	along	ADP
cana-4843	28	6	the	the	DET
cana-4843	28	7	path	path	NOUN
cana-4843	28	8	of	of	ADP
cana-4843	28	9	the	the	DET
cana-4843	28	10	dns	dns	NOUN
cana-4843	28	11	query	query	NOUN
cana-4843	28	12	,	,	PUNCT
cana-4843	28	13	especially	especially	ADV
cana-4843	28	14	internet	internet	NOUN
cana-4843	28	15	service	service	NOUN
cana-4843	28	16	providers	provider	NOUN
cana-4843	28	17	(	(	PUNCT
cana-4843	28	18	isps	isps	NOUN
cana-4843	28	19	)	)	PUNCT
cana-4843	28	20	,	,	PUNCT
cana-4843	28	21	can	can	AUX
cana-4843	28	22	observe	observe	VERB
cana-4843	28	23	the	the	DET
cana-4843	28	24	contents	content	NOUN
cana-4843	28	25	of	of	ADP
cana-4843	28	26	these	these	DET
cana-4843	28	27	queries	query	NOUN
cana-4843	28	28	,	,	PUNCT
cana-4843	28	29	revealing	reveal	VERB
cana-4843	28	30	users	user	NOUN
cana-4843	28	31	'	'	PART
cana-4843	28	32	online	online	ADJ
cana-4843	28	33	activities	activity	NOUN
cana-4843	28	34	[	[	X
cana-4843	28	35	6	6	NUM
cana-4843	28	36	]	]	PUNCT
cana-4843	28	37	.	.	PUNCT
cana-4843	29	1	to	to	PART
cana-4843	29	2	enhance	enhance	VERB
cana-4843	29	3	user	user	NOUN
cana-4843	29	4	privacy	privacy	NOUN
cana-4843	29	5	and	and	CCONJ
cana-4843	29	6	reduce	reduce	VERB
cana-4843	29	7	the	the	DET
cana-4843	29	8	profiling	profiling	NOUN
cana-4843	29	9	of	of	ADP
cana-4843	29	10	dns	dns	NOUN
cana-4843	29	11	traffic	traffic	NOUN
cana-4843	29	12	by	by	ADP
cana-4843	29	13	network	network	NOUN
cana-4843	29	14	operators	operator	NOUN
cana-4843	29	15	,	,	PUNCT
cana-4843	29	16	the	the	DET
cana-4843	29	17	internet	internet	NOUN
cana-4843	29	18	engineering	engineering	NOUN
cana-4843	29	19	community	community	NOUN
cana-4843	29	20	developed	develop	VERB
cana-4843	29	21	dns	dns	NOUN
cana-4843	29	22	over	over	ADP
cana-4843	29	23	https	https	NOUN
cana-4843	29	24	(	(	PUNCT
cana-4843	29	25	doh	doh	NOUN
cana-4843	29	26	)	)	PUNCT
cana-4843	29	27	as	as	ADP
cana-4843	29	28	a	a	DET
cana-4843	29	29	natural	natural	ADJ
cana-4843	29	30	response	response	NOUN
cana-4843	29	31	.	.	PUNCT
cana-4843	30	1	the	the	DET
cana-4843	30	2	main	main	ADJ
cana-4843	30	3	focus	focus	NOUN
cana-4843	30	4	of	of	ADP
cana-4843	30	5	this	this	DET
cana-4843	30	6	paper	paper	NOUN
cana-4843	30	7	is	be	AUX
cana-4843	30	8	on	on	ADP
cana-4843	30	9	dns	dns	NOUN
cana-4843	30	10	over	over	ADP
cana-4843	30	11	https	https	NOUN
cana-4843	30	12	(	(	PUNCT
cana-4843	30	13	doh	doh	PROPN
cana-4843	30	14	)	)	PUNCT
cana-4843	30	15	,	,	PUNCT
cana-4843	30	16	was	be	AUX
cana-4843	30	17	introduced	introduce	VERB
cana-4843	30	18	in	in	ADP
cana-4843	30	19	october	october	PROPN
cana-4843	30	20	2018	2018	NUM
cana-4843	30	21	,	,	PUNCT
cana-4843	30	22	as	as	SCONJ
cana-4843	30	23	detailed	detailed	ADJ
cana-4843	30	24	in	in	ADP
cana-4843	30	25	[	[	X
cana-4843	30	26	7	7	NUM
cana-4843	30	27	]	]	PUNCT
cana-4843	30	28	.	.	PUNCT
cana-4843	31	1	communication	communication	NOUN
cana-4843	31	2	through	through	ADP
cana-4843	31	3	doh	doh	PROPN
cana-4843	31	4	is	be	AUX
cana-4843	31	5	encrypted	encrypt	VERB
cana-4843	31	6	,	,	PUNCT
cana-4843	31	7	making	make	VERB
cana-4843	31	8	it	it	PRON
cana-4843	31	9	visible	visible	ADJ
cana-4843	31	10	only	only	ADV
cana-4843	31	11	to	to	ADP
cana-4843	31	12	the	the	DET
cana-4843	31	13	user	user	NOUN
cana-4843	31	14	and	and	CCONJ
cana-4843	31	15	their	their	PRON
cana-4843	31	16	doh	doh	PROPN
cana-4843	31	17	service	service	NOUN
cana-4843	31	18	provider	provider	NOUN
cana-4843	31	19	,	,	PUNCT
cana-4843	31	20	thereby	thereby	ADV
cana-4843	31	21	rendering	render	VERB
cana-4843	31	22	profiling	profile	VERB
cana-4843	31	23	nearly	nearly	ADV
cana-4843	31	24	impossible	impossible	ADJ
cana-4843	31	25	.	.	PUNCT
cana-4843	32	1	in	in	ADP
cana-4843	32	2	addition	addition	NOUN
cana-4843	32	3	to	to	ADP
cana-4843	32	4	encrypting	encrypt	VERB
cana-4843	32	5	dns	dns	NOUN
cana-4843	32	6	data	datum	NOUN
cana-4843	32	7	,	,	PUNCT
cana-4843	32	8	doh	doh	VERB
cana-4843	32	9	shifts	shift	NOUN
cana-4843	32	10	the	the	DET
cana-4843	32	11	visibility	visibility	NOUN
cana-4843	32	12	of	of	ADP
cana-4843	32	13	queried	query	VERB
cana-4843	32	14	domain	domain	NOUN
cana-4843	32	15	names	name	NOUN
cana-4843	32	16	from	from	ADP
cana-4843	32	17	local	local	ADJ
cana-4843	32	18	dns	dns	NOUN
cana-4843	32	19	providers	provider	NOUN
cana-4843	32	20	to	to	ADP
cana-4843	32	21	more	more	ADV
cana-4843	32	22	centralized	centralized	ADJ
cana-4843	32	23	doh	doh	NOUN
cana-4843	32	24	providers	provider	NOUN
cana-4843	32	25	,	,	PUNCT
cana-4843	32	26	which	which	PRON
cana-4843	32	27	can	can	AUX
cana-4843	32	28	be	be	AUX
cana-4843	32	29	beneficial	beneficial	ADJ
cana-4843	32	30	for	for	ADP
cana-4843	32	31	users	user	NOUN
cana-4843	32	32	,	,	PUNCT
cana-4843	32	33	as	as	SCONJ
cana-4843	32	34	explored	explore	VERB
cana-4843	32	35	in	in	ADP
cana-4843	32	36	[	[	X
cana-4843	32	37	8	8	NUM
cana-4843	32	38	]	]	PUNCT
cana-4843	32	39	.	.	PUNCT
cana-4843	33	1	now	now	ADV
cana-4843	33	2	a	a	DET
cana-4843	33	3	days	day	NOUN
cana-4843	33	4	,	,	PUNCT
cana-4843	33	5	dns	dns	NOUN
cana-4843	33	6	not	not	PART
cana-4843	33	7	only	only	ADV
cana-4843	33	8	addresses	address	NOUN
cana-4843	33	9	translation	translation	NOUN
cana-4843	33	10	,	,	PUNCT
cana-4843	33	11	also	also	ADV
cana-4843	33	12	provide	provide	VERB
cana-4843	33	13	authentication	authentication	NOUN
cana-4843	33	14	and	and	CCONJ
cana-4843	33	15	better	well	ADJ
cana-4843	33	16	security	security	NOUN
cana-4843	33	17	services	service	NOUN
cana-4843	33	18	to	to	ADP
cana-4843	33	19	internet	internet	NOUN
cana-4843	33	20	applications	application	NOUN
cana-4843	33	21	[	[	X
cana-4843	33	22	9	9	NUM
cana-4843	33	23	]	]	PUNCT
cana-4843	33	24	.	.	PUNCT
cana-4843	34	1	recent	recent	ADJ
cana-4843	34	2	advancements	advancement	NOUN
cana-4843	34	3	in	in	ADP
cana-4843	34	4	cyber	cyber	ADJ
cana-4843	34	5	security	security	NOUN
cana-4843	34	6	,	,	PUNCT
cana-4843	34	7	especially	especially	ADV
cana-4843	34	8	in	in	ADP
cana-4843	34	9	addressing	address	VERB
cana-4843	34	10	dns	dns	NOUN
cana-4843	34	11	over	over	ADP
cana-4843	34	12	https	https	NOUN
cana-4843	34	13	(	(	PUNCT
cana-4843	34	14	doh	doh	NOUN
cana-4843	34	15	)	)	PUNCT
cana-4843	34	16	attacks	attack	NOUN
cana-4843	34	17	,	,	PUNCT
cana-4843	34	18	have	have	AUX
cana-4843	34	19	led	lead	VERB
cana-4843	34	20	to	to	ADP
cana-4843	34	21	the	the	DET
cana-4843	34	22	development	development	NOUN
cana-4843	34	23	of	of	ADP
cana-4843	34	24	innovative	innovative	ADJ
cana-4843	34	25	techniques	technique	NOUN
cana-4843	34	26	.	.	PUNCT
cana-4843	35	1	a	a	DET
cana-4843	35	2	notable	notable	ADJ
cana-4843	35	3	approach	approach	NOUN
cana-4843	35	4	features	feature	VERB
cana-4843	35	5	a	a	DET
cana-4843	35	6	two	two	NUM
cana-4843	35	7	-	-	PUNCT
cana-4843	35	8	layered	layer	VERB
cana-4843	35	9	intrusion	intrusion	NOUN
cana-4843	35	10	detection	detection	NOUN
cana-4843	35	11	system	system	NOUN
cana-4843	35	12	that	that	PRON
cana-4843	35	13	employs	employ	VERB
cana-4843	35	14	the	the	DET
cana-4843	35	15	random	random	ADJ
cana-4843	35	16	forest	forest	NOUN
cana-4843	35	17	ensemble	ensemble	ADJ
cana-4843	35	18	classifier	classifier	NOUN
cana-4843	35	19	[	[	X
cana-4843	35	20	10	10	NUM
cana-4843	35	21	]	]	PUNCT
cana-4843	35	22	.	.	PUNCT
cana-4843	36	1	in	in	ADP
cana-4843	36	2	this	this	DET
cana-4843	36	3	approach	approach	NOUN
cana-4843	36	4	,	,	PUNCT
cana-4843	36	5	random	random	ADJ
cana-4843	36	6	forest	forest	NOUN
cana-4843	36	7	generates	generate	VERB
cana-4843	36	8	multiple	multiple	ADJ
cana-4843	36	9	decision	decision	NOUN
cana-4843	36	10	tree	tree	NOUN
cana-4843	36	11	models	model	NOUN
cana-4843	36	12	during	during	ADP
cana-4843	36	13	the	the	DET
cana-4843	36	14	training	training	NOUN
cana-4843	36	15	phase	phase	NOUN
cana-4843	36	16	.	.	PUNCT
cana-4843	37	1	these	these	DET
cana-4843	37	2	models	model	NOUN
cana-4843	37	3	are	be	AUX
cana-4843	37	4	specifically	specifically	ADV
cana-4843	37	5	crafted	craft	VERB
cana-4843	37	6	to	to	PART
cana-4843	37	7	distinguish	distinguish	VERB
cana-4843	37	8	between	between	ADP
cana-4843	37	9	benign	benign	ADJ
cana-4843	37	10	and	and	CCONJ
cana-4843	37	11	malicious	malicious	ADJ
cana-4843	37	12	doh	doh	NOUN
cana-4843	37	13	traffic	traffic	NOUN
cana-4843	37	14	,	,	PUNCT
cana-4843	37	15	while	while	SCONJ
cana-4843	37	16	also	also	ADV
cana-4843	37	17	effectively	effectively	ADV
cana-4843	37	18	identifying	identify	VERB
cana-4843	37	19	non	non	ADJ
cana-4843	37	20	-	-	ADJ
cana-4843	37	21	doh	doh	ADJ
cana-4843	37	22	traffic	traffic	NOUN
cana-4843	37	23	.	.	PUNCT
cana-4843	38	1	the	the	DET
cana-4843	38	2	contribution	contribution	NOUN
cana-4843	38	3	of	of	ADP
cana-4843	38	4	this	this	DET
cana-4843	38	5	work	work	NOUN
cana-4843	38	6	can	can	AUX
cana-4843	38	7	be	be	AUX
cana-4843	38	8	summarized	summarize	VERB
cana-4843	38	9	as	as	SCONJ
cana-4843	38	10	follows	follow	VERB
cana-4843	38	11	:	:	PUNCT
cana-4843	38	12	1	1	X
cana-4843	38	13	)	)	PUNCT
cana-4843	38	14	the	the	DET
cana-4843	38	15	primary	primary	ADJ
cana-4843	38	16	objective	objective	NOUN
cana-4843	38	17	of	of	ADP
cana-4843	38	18	any	any	DET
cana-4843	38	19	ml	ml	NOUN
cana-4843	38	20	/	/	SYM
cana-4843	38	21	dl	dl	PROPN
cana-4843	38	22	algorithms	algorithm	NOUN
cana-4843	38	23	using	use	VERB
cana-4843	38	24	to	to	ADP
cana-4843	38	25	detection	detection	NOUN
cana-4843	38	26	of	of	ADP
cana-4843	38	27	doh	doh	PROPN
cana-4843	38	28	traffic	traffic	NOUN
cana-4843	38	29	is	be	AUX
cana-4843	38	30	evaluated	evaluate	VERB
cana-4843	38	31	with	with	ADP
cana-4843	38	32	minimum	minimum	ADJ
cana-4843	38	33	computational	computational	ADJ
cana-4843	38	34	complexity	complexity	NOUN
cana-4843	38	35	and	and	CCONJ
cana-4843	38	36	without	without	ADP
cana-4843	38	37	sacrificing	sacrifice	VERB
cana-4843	38	38	the	the	DET
cana-4843	38	39	accuracy	accuracy	NOUN
cana-4843	38	40	.	.	PUNCT
cana-4843	39	1	in	in	ADP
cana-4843	39	2	this	this	DET
cana-4843	39	3	study	study	NOUN
cana-4843	39	4	the	the	DET
cana-4843	39	5	knn	knn	PROPN
cana-4843	39	6	classifier	classifier	PROPN
cana-4843	39	7	is	be	AUX
cana-4843	39	8	identified	identify	VERB
cana-4843	39	9	for	for	ADP
cana-4843	39	10	evolutionary	evolutionary	ADJ
cana-4843	39	11	process	process	NOUN
cana-4843	39	12	of	of	ADP
cana-4843	39	13	doh	doh	PROPN
cana-4843	39	14	traffic	traffic	NOUN
cana-4843	39	15	.	.	PROPN
cana-4843	40	1	2	2	NUM
cana-4843	40	2	)	)	PUNCT
cana-4843	40	3	to	to	PART
cana-4843	40	4	achieve	achieve	VERB
cana-4843	40	5	above	above	ADP
cana-4843	40	6	objective	objective	NOUN
cana-4843	40	7	,	,	PUNCT
cana-4843	40	8	there	there	PRON
cana-4843	40	9	is	be	VERB
cana-4843	40	10	a	a	DET
cana-4843	40	11	need	need	NOUN
cana-4843	40	12	to	to	PART
cana-4843	40	13	investigate	investigate	VERB
cana-4843	40	14	proper	proper	ADJ
cana-4843	40	15	feature	feature	NOUN
cana-4843	40	16	selection	selection	NOUN
cana-4843	40	17	method	method	NOUN
cana-4843	40	18	among	among	ADP
cana-4843	40	19	the	the	DET
cana-4843	40	20	several	several	ADJ
cana-4843	40	21	methods	method	NOUN
cana-4843	40	22	for	for	ADP
cana-4843	40	23	reducing	reduce	VERB
cana-4843	40	24	computational	computational	ADJ
cana-4843	40	25	complexity	complexity	NOUN
cana-4843	40	26	.	.	PUNCT
cana-4843	41	1	for	for	ADP
cana-4843	41	2	this	this	DET
cana-4843	41	3	purpose	purpose	NOUN
cana-4843	41	4	,	,	PUNCT
cana-4843	41	5	a	a	DET
cana-4843	41	6	comprehensive	comprehensive	ADJ
cana-4843	41	7	performance	performance	NOUN
cana-4843	41	8	analysis	analysis	NOUN
cana-4843	41	9	of	of	ADP
cana-4843	41	10	feature	feature	NOUN
cana-4843	41	11	selection	selection	NOUN
cana-4843	41	12	methods	method	NOUN
cana-4843	41	13	is	be	AUX
cana-4843	41	14	carried	carry	VERB
cana-4843	41	15	out	out	ADP
cana-4843	41	16	and	and	CCONJ
cana-4843	41	17	discuss	discuss	VERB
cana-4843	41	18	pros	pro	NOUN
cana-4843	41	19	and	and	CCONJ
cana-4843	41	20	cons	con	NOUN
cana-4843	41	21	for	for	ADP
cana-4843	41	22	each	each	DET
cana-4843	41	23	method	method	NOUN
cana-4843	41	24	.	.	PUNCT
cana-4843	42	1	3	3	X
cana-4843	42	2	)	)	PUNCT
cana-4843	42	3	principal	principal	ADJ
cana-4843	42	4	component	component	NOUN
cana-4843	42	5	analysis	analysis	NOUN
cana-4843	42	6	(	(	PUNCT
cana-4843	42	7	pca	pca	NOUN
cana-4843	42	8	)	)	PUNCT
cana-4843	42	9	,	,	PUNCT
cana-4843	42	10	lasso	lasso	NOUN
cana-4843	42	11	regression	regression	NOUN
cana-4843	42	12	,	,	PUNCT
cana-4843	42	13	logistic	logistic	ADJ
cana-4843	42	14	regression	regression	NOUN
cana-4843	42	15	,	,	PUNCT
cana-4843	42	16	and	and	CCONJ
cana-4843	42	17	random	random	ADJ
cana-4843	42	18	forest	forest	NOUN
cana-4843	42	19	methods	method	NOUN
cana-4843	42	20	are	be	AUX
cana-4843	42	21	chosen	choose	VERB
cana-4843	42	22	for	for	ADP
cana-4843	42	23	comparative	comparative	ADJ
cana-4843	42	24	analysis	analysis	NOUN
cana-4843	42	25	and	and	CCONJ
cana-4843	42	26	the	the	DET
cana-4843	42	27	experiments	experiment	NOUN
cana-4843	42	28	are	be	AUX
cana-4843	42	29	conducted	conduct	VERB
cana-4843	42	30	on	on	ADP
cana-4843	42	31	adopted	adopt	VERB
cana-4843	42	32	dataset	dataset	VERB
cana-4843	42	33	cira	cira	PROPN
cana-4843	42	34	-	-	PUNCT
cana-4843	42	35	cic	cic	PROPN
cana-4843	42	36	-	-	PUNCT
cana-4843	42	37	doh	doh	NOUN
cana-4843	42	38	-	-	PUNCT
cana-4843	42	39	brw-2020	brw-2020	NOUN
cana-4843	42	40	.	.	PUNCT
cana-4843	43	1	4	4	X
cana-4843	43	2	)	)	PUNCT
cana-4843	43	3	finally	finally	ADV
cana-4843	43	4	decisive	decisive	ADJ
cana-4843	43	5	conclusions	conclusion	NOUN
cana-4843	43	6	are	be	AUX
cana-4843	43	7	drawn	draw	VERB
cana-4843	43	8	based	base	VERB
cana-4843	43	9	on	on	ADP
cana-4843	43	10	experimental	experimental	ADJ
cana-4843	43	11	results	result	NOUN
cana-4843	43	12	,	,	PUNCT
cana-4843	43	13	which	which	PRON
cana-4843	43	14	may	may	AUX
cana-4843	43	15	be	be	AUX
cana-4843	43	16	helpful	helpful	ADJ
cana-4843	43	17	to	to	ADP
cana-4843	43	18	the	the	DET
cana-4843	43	19	security	security	NOUN
cana-4843	43	20	professionals	professional	NOUN
cana-4843	43	21	for	for	ADP
cana-4843	43	22	mitigating	mitigating	NOUN
cana-4843	43	23	and	and	CCONJ
cana-4843	43	24	prevention	prevention	NOUN
cana-4843	43	25	of	of	ADP
cana-4843	43	26	malicious	malicious	ADJ
cana-4843	43	27	activities	activity	NOUN
cana-4843	43	28	of	of	ADP
cana-4843	43	29	dns	dns	NOUN
cana-4843	43	30	over	over	ADP
cana-4843	43	31	http	http	NOUN
cana-4843	43	32	systems	system	NOUN
cana-4843	43	33	.	.	PUNCT
cana-4843	44	1	communications	communication	NOUN
cana-4843	44	2	on	on	ADP
cana-4843	44	3	applied	apply	VERB
cana-4843	44	4	nonlinear	nonlinear	ADJ
cana-4843	44	5	analysis	analysis	NOUN
cana-4843	44	6	issn	issn	NOUN
cana-4843	44	7	:	:	PUNCT
cana-4843	44	8	1074	1074	NUM
cana-4843	44	9	-	-	PUNCT
cana-4843	44	10	133x	133x	NUM
cana-4843	44	11	vol	vol	VERB
cana-4843	44	12	32	32	NUM
cana-4843	44	13	no	no	NOUN
cana-4843	44	14	.	.	PUNCT
cana-4843	45	1	10s	10	NOUN
cana-4843	45	2	(	(	PUNCT
cana-4843	45	3	2025	2025	NUM
cana-4843	45	4	)	)	PUNCT
cana-4843	45	5	491	491	NUM
cana-4843	45	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	45	7	the	the	DET
cana-4843	45	8	remaining	remain	VERB
cana-4843	45	9	paper	paper	NOUN
cana-4843	45	10	is	be	AUX
cana-4843	45	11	organized	organize	VERB
cana-4843	45	12	as	as	SCONJ
cana-4843	45	13	follows	follow	VERB
cana-4843	45	14	:	:	PUNCT
cana-4843	45	15	section	section	NOUN
cana-4843	45	16	2	2	NUM
cana-4843	45	17	discusses	discuss	VERB
cana-4843	45	18	about	about	ADP
cana-4843	45	19	the	the	DET
cana-4843	45	20	past	past	ADJ
cana-4843	45	21	research	research	NOUN
cana-4843	45	22	related	relate	VERB
cana-4843	45	23	to	to	ADP
cana-4843	45	24	detection	detection	NOUN
cana-4843	45	25	of	of	ADP
cana-4843	45	26	malicious	malicious	ADJ
cana-4843	45	27	connections	connection	NOUN
cana-4843	45	28	for	for	ADP
cana-4843	45	29	doh	doh	NOUN
cana-4843	45	30	traffic	traffic	NOUN
cana-4843	45	31	using	use	VERB
cana-4843	45	32	ml	ml	PROPN
cana-4843	45	33	/	/	SYM
cana-4843	45	34	dl	dl	PROPN
cana-4843	45	35	algorithms	algorithm	NOUN
cana-4843	45	36	.	.	PUNCT
cana-4843	46	1	the	the	DET
cana-4843	46	2	description	description	NOUN
cana-4843	46	3	of	of	ADP
cana-4843	46	4	the	the	DET
cana-4843	46	5	dataset	dataset	NOUN
cana-4843	46	6	,	,	PUNCT
cana-4843	46	7	four	four	NUM
cana-4843	46	8	feature	feature	NOUN
cana-4843	46	9	selection	selection	NOUN
cana-4843	46	10	methods	method	NOUN
cana-4843	46	11	and	and	CCONJ
cana-4843	46	12	evolutionary	evolutionary	ADJ
cana-4843	46	13	process	process	NOUN
cana-4843	46	14	of	of	ADP
cana-4843	46	15	feature	feature	NOUN
cana-4843	46	16	selection	selection	NOUN
cana-4843	46	17	methods	method	NOUN
cana-4843	46	18	are	be	AUX
cana-4843	46	19	depicted	depict	VERB
cana-4843	46	20	in	in	ADP
cana-4843	46	21	section	section	NOUN
cana-4843	46	22	3	3	NUM
cana-4843	46	23	.	.	PUNCT
cana-4843	47	1	in	in	ADP
cana-4843	47	2	section	section	NOUN
cana-4843	47	3	4	4	NUM
cana-4843	47	4	,	,	PUNCT
cana-4843	47	5	obtained	obtain	VERB
cana-4843	47	6	performance	performance	NOUN
cana-4843	47	7	metrics	metric	NOUN
cana-4843	47	8	values	value	NOUN
cana-4843	47	9	are	be	AUX
cana-4843	47	10	presented	present	VERB
cana-4843	47	11	and	and	CCONJ
cana-4843	47	12	also	also	ADV
cana-4843	47	13	discuss	discuss	VERB
cana-4843	47	14	the	the	DET
cana-4843	47	15	merits	merit	NOUN
cana-4843	47	16	and	and	CCONJ
cana-4843	47	17	demerits	demerit	NOUN
cana-4843	47	18	of	of	ADP
cana-4843	47	19	each	each	DET
cana-4843	47	20	feature	feature	NOUN
cana-4843	47	21	selection	selection	NOUN
cana-4843	47	22	method	method	NOUN
cana-4843	47	23	.	.	PUNCT
cana-4843	48	1	finally	finally	ADV
cana-4843	48	2	the	the	DET
cana-4843	48	3	conclusions	conclusion	NOUN
cana-4843	48	4	and	and	CCONJ
cana-4843	48	5	future	future	ADJ
cana-4843	48	6	scope	scope	NOUN
cana-4843	48	7	of	of	ADP
cana-4843	48	8	this	this	DET
cana-4843	48	9	work	work	NOUN
cana-4843	48	10	is	be	AUX
cana-4843	48	11	given	give	VERB
cana-4843	48	12	in	in	ADP
cana-4843	48	13	section	section	NOUN
cana-4843	48	14	5	5	NUM
cana-4843	48	15	.	.	NOUN
cana-4843	48	16	2	2	NUM
cana-4843	48	17	.	.	X
cana-4843	48	18	literature	literature	NOUN
cana-4843	48	19	survey	survey	NOUN
cana-4843	48	20	this	this	DET
cana-4843	48	21	section	section	NOUN
cana-4843	48	22	briefly	briefly	NOUN
cana-4843	48	23	discusses	discuss	VERB
cana-4843	48	24	the	the	DET
cana-4843	48	25	research	research	NOUN
cana-4843	48	26	carried	carry	VERB
cana-4843	48	27	out	out	ADP
cana-4843	48	28	by	by	ADP
cana-4843	48	29	different	different	ADJ
cana-4843	48	30	researchers	researcher	NOUN
cana-4843	48	31	in	in	ADP
cana-4843	48	32	the	the	DET
cana-4843	48	33	field	field	NOUN
cana-4843	48	34	of	of	ADP
cana-4843	48	35	detecting	detect	VERB
cana-4843	48	36	dns	dns	NOUN
cana-4843	48	37	over	over	ADP
cana-4843	48	38	https	https	NOUN
cana-4843	48	39	(	(	PUNCT
cana-4843	48	40	doh	doh	PROPN
cana-4843	48	41	)	)	PUNCT
cana-4843	48	42	using	use	VERB
cana-4843	48	43	various	various	ADJ
cana-4843	48	44	approaches	approach	NOUN
cana-4843	48	45	,	,	PUNCT
cana-4843	48	46	focusing	focus	VERB
cana-4843	48	47	particularly	particularly	ADV
cana-4843	48	48	on	on	ADP
cana-4843	48	49	classification	classification	NOUN
cana-4843	48	50	techniques	technique	NOUN
cana-4843	48	51	.	.	PUNCT
cana-4843	49	1	“	"	PUNCT
cana-4843	49	2	a	a	DET
cana-4843	49	3	survey	survey	NOUN
cana-4843	49	4	of	of	ADP
cana-4843	49	5	feature	feature	NOUN
cana-4843	49	6	selection	selection	NOUN
cana-4843	49	7	techniques	technique	NOUN
cana-4843	49	8	in	in	ADP
cana-4843	49	9	machine	machine	NOUN
cana-4843	49	10	learning	learn	VERB
cana-4843	49	11	with	with	ADP
cana-4843	49	12	applications	application	NOUN
cana-4843	49	13	”	"	PUNCT
cana-4843	49	14	by	by	ADP
cana-4843	49	15	l.	l.	PROPN
cana-4843	49	16	a.	a.	PROPN
cana-4843	49	17	smith	smith	PROPN
cana-4843	49	18	and	and	CCONJ
cana-4843	49	19	j.	j.	PROPN
cana-4843	49	20	t.	t.	PROPN
cana-4843	49	21	wang	wang	PROPN
cana-4843	49	22	(	(	PUNCT
cana-4843	49	23	2018	2018	NUM
cana-4843	49	24	):	):	PUNCT
cana-4843	49	25	this	this	DET
cana-4843	49	26	survey	survey	NOUN
cana-4843	49	27	covers	cover	VERB
cana-4843	49	28	various	various	ADJ
cana-4843	49	29	feature	feature	NOUN
cana-4843	49	30	selection	selection	NOUN
cana-4843	49	31	techniques	technique	NOUN
cana-4843	49	32	and	and	CCONJ
cana-4843	49	33	their	their	PRON
cana-4843	49	34	applications	application	NOUN
cana-4843	49	35	,	,	PUNCT
cana-4843	49	36	"	"	PUNCT
cana-4843	49	37	providing	provide	VERB
cana-4843	49	38	a	a	DET
cana-4843	49	39	foundational	foundational	ADJ
cana-4843	49	40	understanding	understanding	NOUN
cana-4843	49	41	of	of	ADP
cana-4843	49	42	ensemble	ensemble	ADJ
cana-4843	49	43	methods	method	NOUN
cana-4843	49	44	in	in	ADP
cana-4843	49	45	feature	feature	NOUN
cana-4843	49	46	selection	selection	NOUN
cana-4843	49	47	“	"	PUNCT
cana-4843	49	48	detecting	detect	VERB
cana-4843	49	49	dns	dns	NOUN
cana-4843	49	50	over	over	ADP
cana-4843	49	51	https	https	NOUN
cana-4843	49	52	traffic	traffic	NOUN
cana-4843	49	53	using	use	VERB
cana-4843	49	54	ensemble	ensemble	ADJ
cana-4843	49	55	feature	feature	NOUN
cana-4843	49	56	-	-	PUNCT
cana-4843	49	57	based	base	VERB
cana-4843	49	58	machine	machine	NOUN
cana-4843	49	59	learning	learning	NOUN
cana-4843	49	60	“	"	PUNCT
cana-4843	49	61	by	by	ADP
cana-4843	49	62	sajal	sajal	ADJ
cana-4843	49	63	saha	saha	NOUN
cana-4843	50	1	[	[	X
cana-4843	50	2	2023]:proposes	2023]:proposes	NUM
cana-4843	50	3	an	an	DET
cana-4843	50	4	advanced	advanced	ADJ
cana-4843	50	5	approach	approach	NOUN
cana-4843	50	6	for	for	ADP
cana-4843	50	7	classifying	classify	VERB
cana-4843	50	8	dns	dns	NOUN
cana-4843	50	9	over	over	ADP
cana-4843	50	10	https	https	NOUN
cana-4843	50	11	(	(	PUNCT
cana-4843	50	12	doh	doh	NOUN
cana-4843	50	13	)	)	PUNCT
cana-4843	50	14	traffic	traffic	NOUN
cana-4843	50	15	using	use	VERB
cana-4843	50	16	machine	machine	NOUN
cana-4843	50	17	learning	learning	NOUN
cana-4843	50	18	.	.	PUNCT
cana-4843	51	1	this	this	DET
cana-4843	51	2	work	work	NOUN
cana-4843	51	3	introduces	introduce	VERB
cana-4843	51	4	an	an	DET
cana-4843	51	5	ensemble	ensemble	ADJ
cana-4843	51	6	feature	feature	NOUN
cana-4843	51	7	selection	selection	NOUN
cana-4843	51	8	technique	technique	NOUN
cana-4843	51	9	that	that	PRON
cana-4843	51	10	aims	aim	VERB
cana-4843	51	11	to	to	PART
cana-4843	51	12	enhance	enhance	VERB
cana-4843	51	13	the	the	DET
cana-4843	51	14	accuracy	accuracy	NOUN
cana-4843	51	15	and	and	CCONJ
cana-4843	51	16	robustness	robustness	NOUN
cana-4843	51	17	of	of	ADP
cana-4843	51	18	doh	doh	NOUN
cana-4843	51	19	traffic	traffic	NOUN
cana-4843	51	20	classification	classification	NOUN
cana-4843	51	21	.	.	PUNCT
cana-4843	52	1	“	"	PUNCT
cana-4843	52	2	detecting	detect	VERB
cana-4843	52	3	malicious	malicious	ADJ
cana-4843	52	4	dns	dns	NOUN
cana-4843	52	5	over	over	ADP
cana-4843	52	6	https	https	NOUN
cana-4843	52	7	(	(	PUNCT
cana-4843	52	8	doh	doh	NOUN
cana-4843	52	9	)	)	PUNCT
cana-4843	52	10	connections	connection	NOUN
cana-4843	52	11	via	via	ADP
cana-4843	52	12	machine	machine	NOUN
cana-4843	52	13	learning	learn	VERB
cana-4843	52	14	techniques	technique	NOUN
cana-4843	52	15	”	"	PUNCT
cana-4843	52	16	by	by	ADP
cana-4843	52	17	mhd	mhd	PROPN
cana-4843	52	18	raja	raja	PROPN
cana-4843	52	19	abou	abou	PROPN
cana-4843	52	20	harb	harb	PROPN
cana-4843	52	21	(	(	PUNCT
cana-4843	52	22	2021	2021	NUM
cana-4843	52	23	)	)	PUNCT
cana-4843	52	24	introduces	introduce	VERB
cana-4843	52	25	a	a	DET
cana-4843	52	26	novel	novel	ADJ
cana-4843	52	27	approach	approach	NOUN
cana-4843	52	28	to	to	ADP
cana-4843	52	29	classifying	classify	VERB
cana-4843	52	30	malicious	malicious	ADJ
cana-4843	52	31	dns	dns	NOUN
cana-4843	52	32	over	over	ADP
cana-4843	52	33	https	https	NOUN
cana-4843	52	34	(	(	PUNCT
cana-4843	52	35	doh	doh	NOUN
cana-4843	52	36	)	)	PUNCT
cana-4843	52	37	connections	connection	NOUN
cana-4843	52	38	through	through	ADP
cana-4843	52	39	the	the	DET
cana-4843	52	40	use	use	NOUN
cana-4843	52	41	of	of	ADP
cana-4843	52	42	advanced	advanced	ADJ
cana-4843	52	43	machine	machine	NOUN
cana-4843	52	44	learning	learn	VERB
cana-4843	52	45	techniques	technique	NOUN
cana-4843	52	46	.	.	PUNCT
cana-4843	53	1	this	this	DET
cana-4843	53	2	work	work	NOUN
cana-4843	53	3	focuses	focus	VERB
cana-4843	53	4	on	on	ADP
cana-4843	53	5	improving	improve	VERB
cana-4843	53	6	the	the	DET
cana-4843	53	7	detection	detection	NOUN
cana-4843	53	8	of	of	ADP
cana-4843	53	9	malicious	malicious	ADJ
cana-4843	53	10	activities	activity	NOUN
cana-4843	53	11	in	in	ADP
cana-4843	53	12	doh	doh	ADJ
cana-4843	53	13	traffic	traffic	NOUN
cana-4843	53	14	by	by	ADP
cana-4843	53	15	integrating	integrate	VERB
cana-4843	53	16	a	a	DET
cana-4843	53	17	feature	feature	NOUN
cana-4843	53	18	selection	selection	NOUN
cana-4843	53	19	process	process	NOUN
cana-4843	53	20	with	with	ADP
cana-4843	53	21	multiple	multiple	ADJ
cana-4843	53	22	supervised	supervised	ADJ
cana-4843	53	23	learning	learning	NOUN
cana-4843	53	24	algorithms	algorithm	NOUN
cana-4843	53	25	.	.	PUNCT
cana-4843	54	1	“	"	PUNCT
cana-4843	54	2	feature	feature	NOUN
cana-4843	54	3	engineering	engineering	NOUN
cana-4843	54	4	and	and	CCONJ
cana-4843	54	5	machine	machine	NOUN
cana-4843	54	6	learning	learn	VERB
cana-4843	54	7	model	model	NOUN
cana-4843	54	8	comparison	comparison	NOUN
cana-4843	54	9	for	for	ADP
cana-4843	54	10	malicious	malicious	ADJ
cana-4843	54	11	activity	activity	NOUN
cana-4843	54	12	detection	detection	NOUN
cana-4843	54	13	in	in	ADP
cana-4843	54	14	dns	dns	PROPN
cana-4843	54	15	-	-	PUNCT
cana-4843	54	16	over	over	ADP
cana-4843	54	17	-	-	PUNCT
cana-4843	54	18	https	https	NOUN
cana-4843	54	19	protocol	protocol	NOUN
cana-4843	54	20	”	"	PUNCT
cana-4843	54	21	by	by	ADP
cana-4843	54	22	matthew	matthew	PROPN
cana-4843	54	23	behnke	behnke	PROPN
cana-4843	54	24	(	(	PUNCT
cana-4843	54	25	2021	2021	NUM
cana-4843	54	26	)	)	PUNCT
cana-4843	54	27	investigates	investigate	VERB
cana-4843	54	28	the	the	DET
cana-4843	54	29	effectiveness	effectiveness	NOUN
cana-4843	54	30	of	of	ADP
cana-4843	54	31	various	various	ADJ
cana-4843	54	32	machine	machine	NOUN
cana-4843	54	33	learning	learn	VERB
cana-4843	54	34	classifiers	classifier	NOUN
cana-4843	54	35	in	in	ADP
cana-4843	54	36	detecting	detect	VERB
cana-4843	54	37	malicious	malicious	ADJ
cana-4843	54	38	activity	activity	NOUN
cana-4843	54	39	within	within	ADP
cana-4843	54	40	the	the	DET
cana-4843	54	41	dns	dns	NOUN
cana-4843	54	42	-	-	PUNCT
cana-4843	54	43	over	over	ADP
cana-4843	54	44	-	-	PUNCT
cana-4843	54	45	https	https	NOUN
cana-4843	54	46	(	(	PUNCT
cana-4843	54	47	doh	doh	NOUN
cana-4843	54	48	)	)	PUNCT
cana-4843	54	49	protocol	protocol	NOUN
cana-4843	54	50	.	.	PUNCT
cana-4843	55	1	by	by	ADP
cana-4843	55	2	leveraging	leverage	VERB
cana-4843	55	3	a	a	DET
cana-4843	55	4	publicly	publicly	ADV
cana-4843	55	5	available	available	ADJ
cana-4843	55	6	dataset	dataset	NOUN
cana-4843	55	7	,	,	PUNCT
cana-4843	55	8	behnke	behnke	PROPN
cana-4843	55	9	conducts	conduct	VERB
cana-4843	55	10	a	a	DET
cana-4843	55	11	comprehensive	comprehensive	ADJ
cana-4843	55	12	comparison	comparison	NOUN
cana-4843	55	13	of	of	ADP
cana-4843	55	14	ten	ten	NUM
cana-4843	55	15	different	different	ADJ
cana-4843	55	16	machine	machine	NOUN
cana-4843	55	17	learning	learning	NOUN
cana-4843	55	18	models	model	NOUN
cana-4843	55	19	,	,	PUNCT
cana-4843	55	20	utilizing	utilize	VERB
cana-4843	55	21	stratified	stratify	VERB
cana-4843	55	22	10	10	NUM
cana-4843	55	23	-	-	ADJ
cana-4843	55	24	fold	fold	ADJ
cana-4843	55	25	crossvalidation	crossvalidation	NOUN
cana-4843	55	26	to	to	PART
cana-4843	55	27	ensure	ensure	VERB
cana-4843	55	28	robust	robust	ADJ
cana-4843	55	29	evaluation	evaluation	NOUN
cana-4843	55	30	and	and	CCONJ
cana-4843	55	31	comparison	comparison	NOUN
cana-4843	55	32	.	.	PUNCT
cana-4843	56	1	“	"	PUNCT
cana-4843	56	2	an	an	DET
cana-4843	56	3	ensemble	ensemble	ADJ
cana-4843	56	4	framework	framework	NOUN
cana-4843	56	5	for	for	ADP
cana-4843	56	6	detection	detection	NOUN
cana-4843	56	7	of	of	ADP
cana-4843	56	8	dns	dns	PROPN
cana-4843	56	9	-	-	PUNCT
cana-4843	56	10	overhttps	overhttps	PROPN
cana-4843	56	11	(	(	PUNCT
cana-4843	56	12	doh	doh	NOUN
cana-4843	56	13	)	)	PUNCT
cana-4843	56	14	traffic	traffic	NOUN
cana-4843	56	15	”	"	PUNCT
cana-4843	56	16	by	by	ADP
cana-4843	56	17	akarsh	akarsh	NOUN
cana-4843	56	18	aggarwal	aggarwal	NOUN
cana-4843	56	19	(	(	PUNCT
cana-4843	56	20	2021	2021	NUM
cana-4843	56	21	)	)	PUNCT
cana-4843	56	22	proposes	propose	VERB
cana-4843	56	23	an	an	DET
cana-4843	56	24	innovative	innovative	ADJ
cana-4843	56	25	ensemble	ensemble	ADJ
cana-4843	56	26	framework	framework	NOUN
cana-4843	56	27	for	for	ADP
cana-4843	56	28	detecting	detect	VERB
cana-4843	56	29	dns	dns	NOUN
cana-4843	56	30	-	-	PUNCT
cana-4843	56	31	over	over	ADP
cana-4843	56	32	-	-	PUNCT
cana-4843	56	33	https	https	NOUN
cana-4843	56	34	(	(	PUNCT
cana-4843	56	35	doh	doh	NOUN
cana-4843	56	36	)	)	PUNCT
cana-4843	56	37	traffic	traffic	NOUN
cana-4843	56	38	.	.	PUNCT
cana-4843	57	1	this	this	DET
cana-4843	57	2	approach	approach	NOUN
cana-4843	57	3	leverages	leverage	VERB
cana-4843	57	4	advanced	advance	VERB
cana-4843	57	5	ensembling	ensemble	VERB
cana-4843	57	6	techniques	technique	NOUN
cana-4843	57	7	to	to	PART
cana-4843	57	8	enhance	enhance	VERB
cana-4843	57	9	the	the	DET
cana-4843	57	10	accuracy	accuracy	NOUN
cana-4843	57	11	and	and	CCONJ
cana-4843	57	12	reliability	reliability	NOUN
cana-4843	57	13	of	of	ADP
cana-4843	57	14	doh	doh	PROPN
cana-4843	57	15	traffic	traffic	NOUN
cana-4843	57	16	detection	detection	NOUN
cana-4843	57	17	,	,	PUNCT
cana-4843	57	18	addressing	address	VERB
cana-4843	57	19	the	the	DET
cana-4843	57	20	challenges	challenge	NOUN
cana-4843	57	21	associated	associate	VERB
cana-4843	57	22	with	with	ADP
cana-4843	57	23	identifying	identify	VERB
cana-4843	57	24	anomalies	anomaly	NOUN
cana-4843	57	25	in	in	ADP
cana-4843	57	26	network	network	NOUN
cana-4843	57	27	traffic	traffic	NOUN
cana-4843	57	28	.	.	PUNCT
cana-4843	58	1	“	"	PUNCT
cana-4843	58	2	an	an	DET
cana-4843	58	3	explainable	explainable	ADJ
cana-4843	58	4	ai	ai	NOUN
cana-4843	58	5	-	-	PUNCT
cana-4843	58	6	based	base	VERB
cana-4843	58	7	intrusion	intrusion	NOUN
cana-4843	58	8	detection	detection	NOUN
cana-4843	58	9	system	system	NOUN
cana-4843	58	10	for	for	ADP
cana-4843	58	11	dns	dns	NOUN
cana-4843	58	12	over	over	ADP
cana-4843	58	13	https	https	NOUN
cana-4843	58	14	(	(	PUNCT
cana-4843	58	15	doh	doh	NOUN
cana-4843	58	16	)	)	PUNCT
cana-4843	58	17	attacks	attack	NOUN
cana-4843	58	18	”	"	PUNCT
cana-4843	58	19	by	by	ADP
cana-4843	58	20	tahmina	tahmina	PROPN
cana-4843	58	21	zebin	zebin	PROPN
cana-4843	58	22	(	(	PUNCT
cana-4843	58	23	2021	2021	NUM
cana-4843	58	24	)	)	PUNCT
cana-4843	58	25	presents	present	VERB
cana-4843	58	26	a	a	DET
cana-4843	58	27	robust	robust	ADJ
cana-4843	58	28	approach	approach	NOUN
cana-4843	58	29	for	for	ADP
cana-4843	58	30	detecting	detect	VERB
cana-4843	58	31	and	and	CCONJ
cana-4843	58	32	classifying	classify	VERB
cana-4843	58	33	dns	dns	NOUN
cana-4843	58	34	over	over	ADP
cana-4843	58	35	https	https	NOUN
cana-4843	58	36	(	(	PUNCT
cana-4843	58	37	doh	doh	NOUN
cana-4843	58	38	)	)	PUNCT
cana-4843	58	39	attacks	attack	NOUN
cana-4843	58	40	using	use	VERB
cana-4843	58	41	an	an	DET
cana-4843	58	42	explainable	explainable	ADJ
cana-4843	58	43	ai	ai	NOUN
cana-4843	58	44	-	-	PUNCT
cana-4843	58	45	based	base	VERB
cana-4843	58	46	intrusion	intrusion	NOUN
cana-4843	58	47	detection	detection	NOUN
cana-4843	58	48	system	system	NOUN
cana-4843	58	49	.	.	PUNCT
cana-4843	59	1	leveraging	leverage	VERB
cana-4843	59	2	the	the	DET
cana-4843	59	3	publicly	publicly	ADV
cana-4843	59	4	available	available	ADJ
cana-4843	59	5	cira	cira	PROPN
cana-4843	59	6	-	-	PUNCT
cana-4843	59	7	cic	cic	PROPN
cana-4843	59	8	-	-	PUNCT
cana-4843	59	9	dohbrw-2020	dohbrw-2020	VERB
cana-4843	59	10	dataset	dataset	NOUN
cana-4843	59	11	,	,	PUNCT
cana-4843	59	12	zebin	zebin	PROPN
cana-4843	59	13	's	's	PART
cana-4843	59	14	work	work	NOUN
cana-4843	59	15	focuses	focus	VERB
cana-4843	59	16	on	on	ADP
cana-4843	59	17	achieving	achieve	VERB
cana-4843	59	18	high	high	ADJ
cana-4843	59	19	accuracy	accuracy	NOUN
cana-4843	59	20	in	in	ADP
cana-4843	59	21	identifying	identify	VERB
cana-4843	59	22	doh	doh	NOUN
cana-4843	59	23	attacks	attack	NOUN
cana-4843	59	24	while	while	SCONJ
cana-4843	59	25	providing	provide	VERB
cana-4843	59	26	transparency	transparency	NOUN
cana-4843	59	27	and	and	CCONJ
cana-4843	59	28	interpretability	interpretability	NOUN
cana-4843	59	29	through	through	ADP
cana-4843	59	30	explainable	explainable	ADJ
cana-4843	59	31	ai	ai	NOUN
cana-4843	59	32	methods	method	NOUN
cana-4843	59	33	.	.	PUNCT
cana-4843	60	1	3	3	X
cana-4843	60	2	.	.	NUM
cana-4843	60	3	proposed	propose	VERB
cana-4843	60	4	doh	doh	PROPN
cana-4843	60	5	detection	detection	PROPN
cana-4843	60	6	model	model	NOUN
cana-4843	60	7	the	the	DET
cana-4843	60	8	proposed	propose	VERB
cana-4843	60	9	doh	doh	PROPN
cana-4843	60	10	model	model	NOUN
cana-4843	60	11	enhances	enhance	VERB
cana-4843	60	12	security	security	NOUN
cana-4843	60	13	in	in	ADP
cana-4843	60	14	dns	dns	NOUN
cana-4843	60	15	over	over	ADP
cana-4843	60	16	https	https	NOUN
cana-4843	60	17	(	(	PUNCT
cana-4843	60	18	doh	doh	NOUN
cana-4843	60	19	)	)	PUNCT
cana-4843	60	20	connections	connection	NOUN
cana-4843	60	21	using	use	VERB
cana-4843	60	22	a	a	DET
cana-4843	60	23	knearest	knearest	NOUN
cana-4843	60	24	neighbours	neighbour	NOUN
cana-4843	60	25	(	(	PUNCT
cana-4843	60	26	knn	knn	PROPN
cana-4843	60	27	)	)	PUNCT
cana-4843	60	28	approach	approach	NOUN
cana-4843	60	29	integrated	integrate	VERB
cana-4843	60	30	with	with	ADP
cana-4843	60	31	pca	pca	PROPN
cana-4843	60	32	,	,	PUNCT
cana-4843	60	33	gini	gini	PROPN
cana-4843	60	34	index	index	PROPN
cana-4843	60	35	,	,	PUNCT
cana-4843	60	36	and	and	CCONJ
cana-4843	60	37	entropy	entropy	NOUN
cana-4843	60	38	for	for	ADP
cana-4843	60	39	feature	feature	NOUN
cana-4843	60	40	selection	selection	NOUN
cana-4843	60	41	.	.	PUNCT
cana-4843	61	1	it	it	PRON
cana-4843	61	2	starts	start	VERB
cana-4843	61	3	with	with	ADP
cana-4843	61	4	raw	raw	ADJ
cana-4843	61	5	data	datum	NOUN
cana-4843	61	6	input	input	NOUN
cana-4843	61	7	,	,	PUNCT
cana-4843	61	8	which	which	PRON
cana-4843	61	9	undergoes	undergo	VERB
cana-4843	61	10	cleaning	cleaning	NOUN
cana-4843	61	11	and	and	CCONJ
cana-4843	61	12	preparation	preparation	NOUN
cana-4843	61	13	in	in	ADP
cana-4843	61	14	the	the	DET
cana-4843	61	15	data	datum	NOUN
cana-4843	61	16	preprocessing	preprocessing	NOUN
cana-4843	61	17	module	module	NOUN
cana-4843	61	18	.	.	PUNCT
cana-4843	62	1	the	the	DET
cana-4843	62	2	processed	process	VERB
cana-4843	62	3	data	data	NOUN
cana-4843	62	4	is	be	AUX
cana-4843	62	5	then	then	ADV
cana-4843	62	6	stored	store	VERB
cana-4843	62	7	in	in	ADP
cana-4843	62	8	the	the	DET
cana-4843	62	9	database	database	NOUN
cana-4843	62	10	module	module	NOUN
cana-4843	62	11	.	.	PUNCT
cana-4843	63	1	the	the	DET
cana-4843	63	2	feature	feature	NOUN
cana-4843	63	3	selection	selection	NOUN
cana-4843	63	4	module	module	NOUN
cana-4843	63	5	applies	apply	VERB
cana-4843	63	6	pca	pca	PROPN
cana-4843	63	7	to	to	PART
cana-4843	63	8	identify	identify	VERB
cana-4843	63	9	the	the	DET
cana-4843	63	10	most	most	ADV
cana-4843	63	11	significant	significant	ADJ
cana-4843	63	12	features	feature	NOUN
cana-4843	63	13	,	,	PUNCT
cana-4843	63	14	storing	store	VERB
cana-4843	63	15	them	they	PRON
cana-4843	63	16	in	in	ADP
cana-4843	63	17	the	the	DET
cana-4843	63	18	feature	feature	NOUN
cana-4843	63	19	communications	communication	NOUN
cana-4843	63	20	on	on	ADP
cana-4843	63	21	applied	apply	VERB
cana-4843	63	22	nonlinear	nonlinear	ADJ
cana-4843	63	23	analysis	analysis	NOUN
cana-4843	63	24	issn	issn	NOUN
cana-4843	63	25	:	:	PUNCT
cana-4843	63	26	1074	1074	NUM
cana-4843	63	27	-	-	PUNCT
cana-4843	63	28	133x	133x	NUM
cana-4843	63	29	vol	vol	VERB
cana-4843	63	30	32	32	NUM
cana-4843	63	31	no	no	NOUN
cana-4843	63	32	.	.	PUNCT
cana-4843	64	1	10s	10	NOUN
cana-4843	64	2	(	(	PUNCT
cana-4843	64	3	2025	2025	NUM
cana-4843	64	4	)	)	PUNCT
cana-4843	64	5	492	492	NUM
cana-4843	64	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	64	7	library	library	NOUN
cana-4843	64	8	.	.	PUNCT
cana-4843	65	1	these	these	DET
cana-4843	65	2	features	feature	NOUN
cana-4843	65	3	are	be	AUX
cana-4843	65	4	used	use	VERB
cana-4843	65	5	by	by	ADP
cana-4843	65	6	the	the	DET
cana-4843	65	7	classification	classification	NOUN
cana-4843	65	8	module	module	NOUN
cana-4843	65	9	to	to	PART
cana-4843	65	10	train	train	VERB
cana-4843	65	11	a	a	DET
cana-4843	65	12	k	k	PROPN
cana-4843	65	13	-	-	PUNCT
cana-4843	65	14	nn	nn	ADJ
cana-4843	65	15	classifier	classifier	NOUN
cana-4843	65	16	that	that	PRON
cana-4843	65	17	predicts	predict	VERB
cana-4843	65	18	outcomes	outcome	NOUN
cana-4843	65	19	based	base	VERB
cana-4843	65	20	on	on	ADP
cana-4843	65	21	new	new	ADJ
cana-4843	65	22	data	datum	NOUN
cana-4843	65	23	.	.	PUNCT
cana-4843	66	1	the	the	DET
cana-4843	66	2	classifier	classifier	NOUN
cana-4843	66	3	's	's	PART
cana-4843	66	4	predictions	prediction	NOUN
cana-4843	66	5	are	be	AUX
cana-4843	66	6	provided	provide	VERB
cana-4843	66	7	as	as	ADP
cana-4843	66	8	results	result	NOUN
cana-4843	66	9	.	.	PUNCT
cana-4843	67	1	the	the	DET
cana-4843	67	2	evaluation	evaluation	NOUN
cana-4843	67	3	module	module	NOUN
cana-4843	67	4	assesses	assess	VERB
cana-4843	67	5	the	the	DET
cana-4843	67	6	classifier	classifier	NOUN
cana-4843	67	7	's	's	PART
cana-4843	67	8	performance	performance	NOUN
cana-4843	67	9	,	,	PUNCT
cana-4843	67	10	and	and	CCONJ
cana-4843	67	11	the	the	DET
cana-4843	67	12	resulting	result	VERB
cana-4843	67	13	feedback	feedback	NOUN
cana-4843	67	14	is	be	AUX
cana-4843	67	15	used	use	VERB
cana-4843	67	16	to	to	PART
cana-4843	67	17	retrain	retrain	VERB
cana-4843	67	18	the	the	DET
cana-4843	67	19	classifier	classifier	NOUN
cana-4843	67	20	,	,	PUNCT
cana-4843	67	21	creating	create	VERB
cana-4843	67	22	a	a	DET
cana-4843	67	23	feedback	feedback	NOUN
cana-4843	67	24	loop	loop	NOUN
cana-4843	67	25	that	that	PRON
cana-4843	67	26	continuously	continuously	ADV
cana-4843	67	27	enhances	enhance	VERB
cana-4843	67	28	the	the	DET
cana-4843	67	29	model	model	NOUN
cana-4843	67	30	's	's	PART
cana-4843	67	31	accuracy	accuracy	NOUN
cana-4843	67	32	and	and	CCONJ
cana-4843	67	33	effectiveness	effectiveness	NOUN
cana-4843	67	34	.	.	PUNCT
cana-4843	68	1	finally	finally	ADV
cana-4843	68	2	,	,	PUNCT
cana-4843	68	3	patterns	pattern	NOUN
cana-4843	68	4	for	for	ADP
cana-4843	68	5	malicious	malicious	ADJ
cana-4843	68	6	and	and	CCONJ
cana-4843	68	7	benign	benign	ADJ
cana-4843	68	8	,	,	PUNCT
cana-4843	68	9	as	as	ADV
cana-4843	68	10	well	well	ADV
cana-4843	68	11	as	as	ADP
cana-4843	68	12	doh	doh	NOUN
cana-4843	68	13	and	and	CCONJ
cana-4843	68	14	non	non	ADJ
cana-4843	68	15	-	-	ADJ
cana-4843	68	16	doh	doh	ADJ
cana-4843	68	17	traffic	traffic	NOUN
cana-4843	68	18	,	,	PUNCT
cana-4843	68	19	are	be	AUX
cana-4843	68	20	generated	generate	VERB
cana-4843	68	21	.	.	PUNCT
cana-4843	69	1	these	these	DET
cana-4843	69	2	features	feature	NOUN
cana-4843	69	3	are	be	AUX
cana-4843	69	4	typically	typically	ADV
cana-4843	69	5	collected	collect	VERB
cana-4843	69	6	and	and	CCONJ
cana-4843	69	7	analyzed	analyze	VERB
cana-4843	69	8	in	in	ADP
cana-4843	69	9	network	network	NOUN
cana-4843	69	10	traffic	traffic	NOUN
cana-4843	69	11	,	,	PUNCT
cana-4843	69	12	performance	performance	NOUN
cana-4843	69	13	monitoring	monitoring	NOUN
cana-4843	69	14	,	,	PUNCT
cana-4843	69	15	and	and	CCONJ
cana-4843	69	16	cybersecurity	cybersecurity	NOUN
cana-4843	69	17	contexts	context	NOUN
cana-4843	69	18	to	to	PART
cana-4843	69	19	understand	understand	VERB
cana-4843	69	20	communication	communication	NOUN
cana-4843	69	21	patterns	pattern	NOUN
cana-4843	69	22	,	,	PUNCT
cana-4843	69	23	detect	detect	NOUN
cana-4843	69	24	anomalies	anomaly	NOUN
cana-4843	69	25	,	,	PUNCT
cana-4843	69	26	and	and	CCONJ
cana-4843	69	27	assess	assess	VERB
cana-4843	69	28	overall	overall	ADJ
cana-4843	69	29	network	network	NOUN
cana-4843	69	30	health	health	NOUN
cana-4843	69	31	and	and	CCONJ
cana-4843	69	32	security	security	NOUN
cana-4843	69	33	.	.	PUNCT
cana-4843	70	1	each	each	DET
cana-4843	70	2	feature	feature	NOUN
cana-4843	70	3	provides	provide	VERB
cana-4843	70	4	specific	specific	ADJ
cana-4843	70	5	metrics	metric	NOUN
cana-4843	70	6	or	or	CCONJ
cana-4843	70	7	characteristics	characteristic	NOUN
cana-4843	70	8	about	about	ADP
cana-4843	70	9	the	the	DET
cana-4843	70	10	network	network	NOUN
cana-4843	70	11	traffic	traffic	NOUN
cana-4843	70	12	or	or	CCONJ
cana-4843	70	13	communication	communication	NOUN
cana-4843	70	14	behavior	behavior	NOUN
cana-4843	70	15	between	between	ADP
cana-4843	70	16	machines	machine	NOUN
cana-4843	70	17	.	.	PUNCT
cana-4843	71	1	the	the	DET
cana-4843	71	2	list	list	NOUN
cana-4843	71	3	of	of	ADP
cana-4843	71	4	all	all	DET
cana-4843	71	5	34	34	NUM
cana-4843	71	6	features	feature	NOUN
cana-4843	71	7	and	and	CCONJ
cana-4843	71	8	their	their	PRON
cana-4843	71	9	descriptions	description	NOUN
cana-4843	71	10	and	and	CCONJ
cana-4843	71	11	examples	example	NOUN
cana-4843	71	12	of	of	ADP
cana-4843	71	13	the	the	DET
cana-4843	71	14	adopted	adopt	VERB
cana-4843	71	15	dataset	dataset	NOUN
cana-4843	71	16	are	be	AUX
cana-4843	71	17	listed	list	VERB
cana-4843	71	18	in	in	ADP
cana-4843	71	19	table	table	NOUN
cana-4843	71	20	1	1	NUM
cana-4843	71	21	.	.	PUNCT
cana-4843	72	1	table.1	table.1	NOUN
cana-4843	72	2	list	list	NOUN
cana-4843	72	3	of	of	ADP
cana-4843	72	4	34	34	NUM
cana-4843	72	5	statistical	statistical	ADJ
cana-4843	72	6	features	feature	NOUN
cana-4843	72	7	and	and	CCONJ
cana-4843	72	8	their	their	PRON
cana-4843	72	9	description	description	NOUN
cana-4843	72	10	of	of	ADP
cana-4843	72	11	the	the	DET
cana-4843	72	12	dataset	dataset	NOUN
cana-4843	72	13	feature	feature	NOUN
cana-4843	72	14	#	#	NOUN
cana-4843	72	15	feature	feature	NOUN
cana-4843	72	16	name	name	NOUN
cana-4843	72	17	description	description	NOUN
cana-4843	72	18	1	1	NUM
cana-4843	72	19	sourceip	sourceip	NOUN
cana-4843	72	20	ip	ip	PRON
cana-4843	72	21	address	address	NOUN
cana-4843	72	22	of	of	ADP
cana-4843	72	23	the	the	DET
cana-4843	72	24	source	source	NOUN
cana-4843	72	25	machine	machine	NOUN
cana-4843	72	26	2	2	NUM
cana-4843	72	27	destinationip	destinationip	VERB
cana-4843	72	28	ip	ip	DET
cana-4843	72	29	address	address	NOUN
cana-4843	72	30	of	of	ADP
cana-4843	72	31	the	the	DET
cana-4843	72	32	destination	destination	NOUN
cana-4843	72	33	machine	machine	NOUN
cana-4843	72	34	3	3	NUM
cana-4843	72	35	sourceport	sourceport	NOUN
cana-4843	72	36	port	port	NOUN
cana-4843	72	37	number	number	NOUN
cana-4843	72	38	of	of	ADP
cana-4843	72	39	source	source	NOUN
cana-4843	72	40	machine	machine	NOUN
cana-4843	72	41	4	4	NUM
cana-4843	72	42	destinationport	destinationport	NOUN
cana-4843	72	43	port	port	NOUN
cana-4843	72	44	number	number	NOUN
cana-4843	72	45	of	of	ADP
cana-4843	72	46	destination	destination	NOUN
cana-4843	72	47	machine	machine	NOUN
cana-4843	72	48	5	5	NUM
cana-4843	72	49	timestamp	timestamp	NOUN
cana-4843	72	50	time	time	NOUN
cana-4843	72	51	stamp	stamp	NOUN
cana-4843	72	52	of	of	ADP
cana-4843	72	53	the	the	DET
cana-4843	72	54	traffic	traffic	NOUN
cana-4843	72	55	packet	packet	NOUN
cana-4843	72	56	6	6	NUM
cana-4843	72	57	duration	duration	NOUN
cana-4843	72	58	duration	duration	NOUN
cana-4843	72	59	of	of	ADP
cana-4843	72	60	the	the	DET
cana-4843	72	61	communication	communication	NOUN
cana-4843	72	62	7	7	NUM
cana-4843	72	63	flowbytessent	flowbytessent	ADJ
cana-4843	72	64	total	total	ADJ
cana-4843	72	65	number	number	NOUN
cana-4843	72	66	of	of	ADP
cana-4843	72	67	bytes	byte	NOUN
cana-4843	72	68	transmitted	transmit	VERB
cana-4843	72	69	from	from	ADP
cana-4843	72	70	source	source	NOUN
cana-4843	72	71	to	to	ADP
cana-4843	72	72	destination	destination	NOUN
cana-4843	72	73	8	8	NUM
cana-4843	72	74	flowsentrate	flowsentrate	NOUN
cana-4843	72	75	%	%	NOUN
cana-4843	72	76	of	of	ADP
cana-4843	72	77	bytes	byte	NOUN
cana-4843	72	78	transmitted	transmit	VERB
cana-4843	72	79	from	from	ADP
cana-4843	72	80	source	source	NOUN
cana-4843	72	81	to	to	ADP
cana-4843	72	82	destination	destination	NOUN
cana-4843	72	83	9	9	NUM
cana-4843	72	84	flowbytesreceived	flowbytesreceive	VERB
cana-4843	72	85	total	total	ADJ
cana-4843	72	86	number	number	NOUN
cana-4843	72	87	of	of	ADP
cana-4843	72	88	bytes	byte	NOUN
cana-4843	72	89	transmitted	transmit	VERB
cana-4843	72	90	from	from	ADP
cana-4843	72	91	destination	destination	NOUN
cana-4843	72	92	to	to	ADP
cana-4843	72	93	the	the	DET
cana-4843	72	94	source	source	NOUN
cana-4843	72	95	10	10	NUM
cana-4843	72	96	flowreceivedrate	flowreceivedrate	ADJ
cana-4843	72	97	%	%	NOUN
cana-4843	72	98	of	of	ADP
cana-4843	72	99	bytes	byte	NOUN
cana-4843	72	100	transmitted	transmit	VERB
cana-4843	72	101	from	from	ADP
cana-4843	72	102	destination	destination	NOUN
cana-4843	72	103	to	to	PART
cana-4843	72	104	source	source	VERB
cana-4843	72	105	11	11	NUM
cana-4843	72	106	packetlengthvariance	packetlengthvariance	NOUN
cana-4843	72	107	variance	variance	NOUN
cana-4843	72	108	value	value	NOUN
cana-4843	72	109	for	for	ADP
cana-4843	72	110	the	the	DET
cana-4843	72	111	length	length	NOUN
cana-4843	72	112	of	of	ADP
cana-4843	72	113	the	the	DET
cana-4843	72	114	packet	packet	NOUN
cana-4843	72	115	12	12	NUM
cana-4843	72	116	packetlengthstandarddeviation	packetlengthstandarddeviation	NOUN
cana-4843	72	117	standard	standard	ADJ
cana-4843	72	118	deviation	deviation	NOUN
cana-4843	72	119	for	for	ADP
cana-4843	72	120	the	the	DET
cana-4843	72	121	length	length	NOUN
cana-4843	72	122	of	of	ADP
cana-4843	72	123	the	the	DET
cana-4843	72	124	packet	packet	NOUN
cana-4843	72	125	13	13	NUM
cana-4843	72	126	packetlengthmean	packetlengthmean	NOUN
cana-4843	72	127	mean	mean	NOUN
cana-4843	72	128	of	of	ADP
cana-4843	72	129	packet	packet	NOUN
cana-4843	72	130	length	length	NOUN
cana-4843	72	131	14	14	NUM
cana-4843	72	132	packetlengthmedian	packetlengthmedian	ADJ
cana-4843	72	133	median	median	NOUN
cana-4843	72	134	of	of	ADP
cana-4843	72	135	packet	packet	NOUN
cana-4843	72	136	length	length	NOUN
cana-4843	72	137	15	15	NUM
cana-4843	72	138	packetlengthmode	packetlengthmode	NOUN
cana-4843	72	139	mode	mode	NOUN
cana-4843	72	140	value	value	NOUN
cana-4843	72	141	of	of	ADP
cana-4843	72	142	packet	packet	NOUN
cana-4843	72	143	length	length	NOUN
cana-4843	72	144	16	16	NUM
cana-4843	72	145	packetlengthskewfrommedian	packetlengthskewfrommedian	NOUN
cana-4843	72	146	skewness	skewness	NOUN
cana-4843	72	147	from	from	ADP
cana-4843	72	148	median	median	PROPN
cana-4843	72	149	for	for	ADP
cana-4843	72	150	the	the	DET
cana-4843	72	151	packet	packet	NOUN
cana-4843	72	152	communications	communication	NOUN
cana-4843	72	153	on	on	ADP
cana-4843	72	154	applied	apply	VERB
cana-4843	72	155	nonlinear	nonlinear	ADJ
cana-4843	72	156	analysis	analysis	NOUN
cana-4843	72	157	issn	issn	NOUN
cana-4843	72	158	:	:	PUNCT
cana-4843	72	159	1074	1074	NUM
cana-4843	72	160	-	-	PUNCT
cana-4843	72	161	133x	133x	NUM
cana-4843	72	162	vol	vol	VERB
cana-4843	72	163	32	32	NUM
cana-4843	72	164	no	no	NOUN
cana-4843	72	165	.	.	PUNCT
cana-4843	73	1	10s	10	NOUN
cana-4843	73	2	(	(	PUNCT
cana-4843	73	3	2025	2025	NUM
cana-4843	73	4	)	)	PUNCT
cana-4843	73	5	493	493	NUM
cana-4843	73	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	73	7	length	length	NOUN
cana-4843	73	8	17	17	NUM
cana-4843	73	9	packetlengthskewfrommode	packetlengthskewfrommode	ADJ
cana-4843	73	10	skewness	skewness	NOUN
cana-4843	73	11	from	from	ADP
cana-4843	73	12	mode	mode	NOUN
cana-4843	73	13	for	for	ADP
cana-4843	73	14	the	the	DET
cana-4843	73	15	packet	packet	NOUN
cana-4843	73	16	length	length	NOUN
cana-4843	73	17	18	18	NUM
cana-4843	73	18	packetlengthcoefficientofvariation	packetlengthcoefficientofvariation	NOUN
cana-4843	73	19	coefficient	coefficient	NOUN
cana-4843	73	20	of	of	ADP
cana-4843	73	21	the	the	DET
cana-4843	73	22	variation	variation	NOUN
cana-4843	73	23	value	value	NOUN
cana-4843	73	24	for	for	ADP
cana-4843	73	25	the	the	DET
cana-4843	73	26	packet	packet	NOUN
cana-4843	73	27	length	length	NOUN
cana-4843	73	28	19	19	NUM
cana-4843	73	29	packettimevariance	packettimevariance	NOUN
cana-4843	73	30	variance	variance	NOUN
cana-4843	73	31	of	of	ADP
cana-4843	73	32	the	the	DET
cana-4843	73	33	time	time	NOUN
cana-4843	73	34	of	of	ADP
cana-4843	73	35	packet	packet	NOUN
cana-4843	73	36	received	receive	VERB
cana-4843	73	37	20	20	NUM
cana-4843	73	38	packettimestandarddeviation	packettimestandarddeviation	NOUN
cana-4843	73	39	standard	standard	ADJ
cana-4843	73	40	deviation	deviation	NOUN
cana-4843	73	41	value	value	NOUN
cana-4843	73	42	for	for	ADP
cana-4843	73	43	the	the	DET
cana-4843	73	44	packet	packet	ADJ
cana-4843	73	45	time	time	NOUN
cana-4843	73	46	21	21	NUM
cana-4843	73	47	packettimemean	packettimemean	ADJ
cana-4843	73	48	mean	mean	ADJ
cana-4843	73	49	value	value	NOUN
cana-4843	73	50	for	for	ADP
cana-4843	73	51	the	the	DET
cana-4843	73	52	packet	packet	ADJ
cana-4843	73	53	time	time	NOUN
cana-4843	73	54	22	22	NUM
cana-4843	73	55	packettimemedian	packettimemedian	ADJ
cana-4843	73	56	median	median	ADJ
cana-4843	73	57	value	value	NOUN
cana-4843	73	58	for	for	ADP
cana-4843	73	59	the	the	DET
cana-4843	73	60	packet	packet	ADJ
cana-4843	73	61	time	time	NOUN
cana-4843	73	62	23	23	NUM
cana-4843	73	63	packettimemode	packettimemode	NOUN
cana-4843	73	64	mode	mode	NOUN
cana-4843	73	65	value	value	NOUN
cana-4843	73	66	for	for	ADP
cana-4843	73	67	the	the	DET
cana-4843	73	68	packet	packet	ADJ
cana-4843	73	69	time	time	NOUN
cana-4843	73	70	24	24	NUM
cana-4843	73	71	packettimeskewfrommedian	packettimeskewfrommedian	NOUN
cana-4843	73	72	skewness	skewness	NOUN
cana-4843	73	73	of	of	ADP
cana-4843	73	74	median	median	PROPN
cana-4843	73	75	for	for	ADP
cana-4843	73	76	the	the	DET
cana-4843	73	77	packet	packet	ADJ
cana-4843	73	78	time	time	NOUN
cana-4843	73	79	25	25	NUM
cana-4843	73	80	packettimeskewfrommode	packettimeskewfrommode	ADJ
cana-4843	73	81	skewness	skewness	NOUN
cana-4843	73	82	of	of	ADP
cana-4843	73	83	mode	mode	NOUN
cana-4843	73	84	for	for	ADP
cana-4843	73	85	the	the	DET
cana-4843	73	86	packet	packet	ADJ
cana-4843	73	87	time	time	NOUN
cana-4843	73	88	26	26	NUM
cana-4843	73	89	packettimecoefficientofvariation	packettimecoefficientofvariation	NOUN
cana-4843	73	90	coefficient	coefficient	NOUN
cana-4843	73	91	of	of	ADP
cana-4843	73	92	variation	variation	NOUN
cana-4843	73	93	values	value	NOUN
cana-4843	73	94	for	for	ADP
cana-4843	73	95	packet	packet	NOUN
cana-4843	73	96	time	time	NOUN
cana-4843	73	97	of	of	ADP
cana-4843	73	98	the	the	DET
cana-4843	73	99	server	server	NOUN
cana-4843	73	100	27	27	NUM
cana-4843	73	101	responsetimetimevariance	responsetimetimevariance	NOUN
cana-4843	73	102	time	time	NOUN
cana-4843	73	103	variance	variance	NOUN
cana-4843	73	104	of	of	ADP
cana-4843	73	105	response	response	NOUN
cana-4843	73	106	time	time	NOUN
cana-4843	73	107	28	28	NUM
cana-4843	73	108	response	response	NOUN
cana-4843	73	109	timetimestandarddeviation	timetimestandarddeviation	NOUN
cana-4843	73	110	standard	standard	ADJ
cana-4843	73	111	deviation	deviation	NOUN
cana-4843	73	112	values	value	NOUN
cana-4843	73	113	for	for	ADP
cana-4843	73	114	response	response	NOUN
cana-4843	73	115	time	time	NOUN
cana-4843	73	116	of	of	ADP
cana-4843	73	117	the	the	DET
cana-4843	73	118	server	server	NOUN
cana-4843	73	119	29	29	NUM
cana-4843	73	120	responsetimetimemean	responsetimetimemean	ADJ
cana-4843	73	121	mean	mean	NOUN
cana-4843	73	122	value	value	NOUN
cana-4843	73	123	of	of	ADP
cana-4843	73	124	response	response	NOUN
cana-4843	73	125	time	time	NOUN
cana-4843	73	126	of	of	ADP
cana-4843	73	127	the	the	DET
cana-4843	73	128	server	server	NOUN
cana-4843	73	129	30	30	NUM
cana-4843	73	130	responsetimetimemedian	responsetimetimemedian	ADJ
cana-4843	73	131	median	median	ADJ
cana-4843	73	132	time	time	NOUN
cana-4843	73	133	of	of	ADP
cana-4843	73	134	response	response	NOUN
cana-4843	73	135	time	time	NOUN
cana-4843	73	136	of	of	ADP
cana-4843	73	137	the	the	DET
cana-4843	73	138	server	server	NOUN
cana-4843	73	139	31	31	NUM
cana-4843	73	140	responsetimetimemode	responsetimetimemode	ADJ
cana-4843	73	141	mode	mode	NOUN
cana-4843	73	142	of	of	ADP
cana-4843	73	143	the	the	DET
cana-4843	73	144	response	response	NOUN
cana-4843	73	145	time	time	NOUN
cana-4843	73	146	of	of	ADP
cana-4843	73	147	the	the	DET
cana-4843	73	148	server	server	NOUN
cana-4843	73	149	32	32	NUM
cana-4843	73	150	responsetimetimeskewfrommedian	responsetimetimeskewfrommedian	PROPN
cana-4843	73	151	skewness	skewness	NOUN
cana-4843	73	152	from	from	ADP
cana-4843	73	153	median	median	PROPN
cana-4843	73	154	for	for	ADP
cana-4843	73	155	response	response	NOUN
cana-4843	73	156	time	time	NOUN
cana-4843	73	157	of	of	ADP
cana-4843	73	158	the	the	DET
cana-4843	73	159	server	server	NOUN
cana-4843	73	160	33	33	NUM
cana-4843	73	161	responsetimetimeskewfrommode	responsetimetimeskewfrommode	NOUN
cana-4843	73	162	skewness	skewness	NOUN
cana-4843	73	163	from	from	ADP
cana-4843	73	164	mode	mode	NOUN
cana-4843	73	165	of	of	ADP
cana-4843	73	166	the	the	DET
cana-4843	73	167	response	response	NOUN
cana-4843	73	168	time	time	NOUN
cana-4843	73	169	34	34	NUM
cana-4843	73	170	responsetimetimecoefficientofvariation	responsetimetimecoefficientofvariation	NOUN
cana-4843	73	171	coefficient	coefficient	NOUN
cana-4843	73	172	of	of	ADP
cana-4843	73	173	variation	variation	NOUN
cana-4843	73	174	for	for	ADP
cana-4843	73	175	response	response	NOUN
cana-4843	73	176	time	time	NOUN
cana-4843	73	177	proposed	propose	VERB
cana-4843	73	178	doh	doh	PROPN
cana-4843	73	179	detection	detection	NOUN
cana-4843	73	180	model	model	NOUN
cana-4843	73	181	is	be	AUX
cana-4843	73	182	shown	show	VERB
cana-4843	73	183	figure.2	figure.2	PROPN
cana-4843	73	184	.	.	PUNCT
cana-4843	74	1	this	this	DET
cana-4843	74	2	model	model	NOUN
cana-4843	74	3	describes	describe	VERB
cana-4843	74	4	that	that	SCONJ
cana-4843	74	5	the	the	DET
cana-4843	74	6	raw	raw	ADJ
cana-4843	74	7	data	datum	NOUN
cana-4843	74	8	is	be	AUX
cana-4843	74	9	preprocessed	preprocesse	VERB
cana-4843	74	10	.	.	PUNCT
cana-4843	75	1	identifying	identify	VERB
cana-4843	75	2	and	and	CCONJ
cana-4843	75	3	selecting	select	VERB
cana-4843	75	4	relevant	relevant	ADJ
cana-4843	75	5	features	feature	NOUN
cana-4843	75	6	(	(	PUNCT
cana-4843	75	7	attributes	attribute	NOUN
cana-4843	75	8	)	)	PUNCT
cana-4843	75	9	from	from	ADP
cana-4843	75	10	the	the	DET
cana-4843	75	11	dataset	dataset	NOUN
cana-4843	75	12	are	be	AUX
cana-4843	75	13	most	most	ADV
cana-4843	75	14	informative	informative	ADJ
cana-4843	75	15	for	for	ADP
cana-4843	75	16	detecting	detect	VERB
cana-4843	75	17	malicious	malicious	ADJ
cana-4843	75	18	doh	doh	NOUN
cana-4843	75	19	traffic	traffic	NOUN
cana-4843	75	20	.	.	PUNCT
cana-4843	76	1	split	split	VERB
cana-4843	76	2	the	the	DET
cana-4843	76	3	dataset	dataset	NOUN
cana-4843	76	4	into	into	ADP
cana-4843	76	5	training	training	NOUN
cana-4843	76	6	set	set	NOUN
cana-4843	76	7	and	and	CCONJ
cana-4843	76	8	testing	testing	NOUN
cana-4843	76	9	set	set	VERB
cana-4843	76	10	.	.	PUNCT
cana-4843	77	1	train	train	VERB
cana-4843	77	2	the	the	DET
cana-4843	77	3	k	k	PROPN
cana-4843	77	4	-	-	PUNCT
cana-4843	77	5	nn	nn	ADJ
cana-4843	77	6	model	model	NOUN
cana-4843	77	7	using	use	VERB
cana-4843	77	8	the	the	DET
cana-4843	77	9	selected	select	VERB
cana-4843	77	10	features	feature	NOUN
cana-4843	77	11	from	from	ADP
cana-4843	77	12	the	the	DET
cana-4843	77	13	feature	feature	NOUN
cana-4843	77	14	selection	selection	NOUN
cana-4843	77	15	module	module	NOUN
cana-4843	77	16	.	.	PUNCT
cana-4843	78	1	assess	assess	VERB
cana-4843	78	2	the	the	DET
cana-4843	78	3	performance	performance	NOUN
cana-4843	78	4	of	of	ADP
cana-4843	78	5	the	the	DET
cana-4843	78	6	k	k	PROPN
cana-4843	78	7	-	-	PUNCT
cana-4843	78	8	nn	nn	ADJ
cana-4843	78	9	model	model	NOUN
cana-4843	78	10	using	use	VERB
cana-4843	78	11	metrics	metric	NOUN
cana-4843	78	12	such	such	ADJ
cana-4843	78	13	as	as	ADP
cana-4843	78	14	accuracy	accuracy	NOUN
cana-4843	78	15	,	,	PUNCT
cana-4843	78	16	precision	precision	NOUN
cana-4843	78	17	,	,	PUNCT
cana-4843	78	18	recall	recall	NOUN
cana-4843	78	19	,	,	PUNCT
cana-4843	78	20	and	and	CCONJ
cana-4843	78	21	f1	f1	NOUN
cana-4843	78	22	-	-	PUNCT
cana-4843	78	23	score	score	NOUN
cana-4843	78	24	.	.	PUNCT
cana-4843	79	1	reassess	reassess	NOUN
cana-4843	79	2	feature	feature	NOUN
cana-4843	79	3	importance	importance	NOUN
cana-4843	79	4	using	use	VERB
cana-4843	79	5	the	the	DET
cana-4843	79	6	trained	train	VERB
cana-4843	79	7	k	k	PROPN
cana-4843	79	8	-	-	PUNCT
cana-4843	79	9	nn	nn	PROPN
cana-4843	79	10	model	model	NOUN
cana-4843	79	11	.	.	PUNCT
cana-4843	80	1	refine	refine	VERB
cana-4843	80	2	feature	feature	NOUN
cana-4843	80	3	selection	selection	NOUN
cana-4843	80	4	based	base	VERB
cana-4843	80	5	on	on	ADP
cana-4843	80	6	insights	insight	NOUN
cana-4843	80	7	gained	gain	VERB
cana-4843	80	8	and	and	CCONJ
cana-4843	80	9	re	re	VERB
cana-4843	80	10	-	-	VERB
cana-4843	80	11	train	train	VERB
cana-4843	80	12	the	the	DET
cana-4843	80	13	k	k	PROPN
cana-4843	80	14	-	-	PUNCT
cana-4843	80	15	nn	nn	ADJ
cana-4843	80	16	model	model	NOUN
cana-4843	80	17	if	if	SCONJ
cana-4843	80	18	necessary	necessary	ADJ
cana-4843	80	19	.	.	PUNCT
cana-4843	81	1	evaluate	evaluate	VERB
cana-4843	81	2	the	the	DET
cana-4843	81	3	final	final	ADJ
cana-4843	81	4	model	model	NOUN
cana-4843	81	5	using	use	VERB
cana-4843	81	6	the	the	DET
cana-4843	81	7	testing	testing	NOUN
cana-4843	81	8	set	set	VERB
cana-4843	81	9	.	.	PUNCT
cana-4843	82	1	communications	communication	NOUN
cana-4843	82	2	on	on	ADP
cana-4843	82	3	applied	apply	VERB
cana-4843	82	4	nonlinear	nonlinear	ADJ
cana-4843	82	5	analysis	analysis	NOUN
cana-4843	82	6	issn	issn	NOUN
cana-4843	82	7	:	:	PUNCT
cana-4843	82	8	1074	1074	NUM
cana-4843	82	9	-	-	PUNCT
cana-4843	82	10	133x	133x	NUM
cana-4843	82	11	vol	vol	VERB
cana-4843	82	12	32	32	NUM
cana-4843	82	13	no	no	NOUN
cana-4843	82	14	.	.	PUNCT
cana-4843	83	1	10s	10	NOUN
cana-4843	83	2	(	(	PUNCT
cana-4843	83	3	2025	2025	NUM
cana-4843	83	4	)	)	PUNCT
cana-4843	83	5	494	494	NUM
cana-4843	83	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	83	7	figure	figure	NOUN
cana-4843	83	8	1	1	NUM
cana-4843	83	9	:	:	PUNCT
cana-4843	83	10	evolutionary	evolutionary	ADJ
cana-4843	83	11	process	process	NOUN
cana-4843	83	12	of	of	ADP
cana-4843	83	13	feature	feature	NOUN
cana-4843	83	14	selection	selection	NOUN
cana-4843	83	15	methods	method	NOUN
cana-4843	83	16	the	the	DET
cana-4843	83	17	proposed	propose	VERB
cana-4843	83	18	detection	detection	NOUN
cana-4843	83	19	of	of	ADP
cana-4843	83	20	dns	dns	NOUN
cana-4843	83	21	over	over	ADP
cana-4843	83	22	https	https	NOUN
cana-4843	83	23	(	(	PUNCT
cana-4843	83	24	doh	doh	PROPN
cana-4843	83	25	)	)	PUNCT
cana-4843	83	26	model	model	NOUN
cana-4843	83	27	described	describe	VERB
cana-4843	83	28	in	in	ADP
cana-4843	83	29	figure	figure	NOUN
cana-4843	83	30	2	2	NUM
cana-4843	83	31	follows	follow	VERB
cana-4843	83	32	a	a	DET
cana-4843	83	33	structured	structured	ADJ
cana-4843	83	34	approach	approach	NOUN
cana-4843	83	35	to	to	PART
cana-4843	83	36	identify	identify	VERB
cana-4843	83	37	and	and	CCONJ
cana-4843	83	38	classify	classify	VERB
cana-4843	83	39	malicious	malicious	ADJ
cana-4843	83	40	doh	doh	NOUN
cana-4843	83	41	traffic	traffic	NOUN
cana-4843	83	42	.	.	PUNCT
cana-4843	84	1	3.1	3.1	NUM
cana-4843	84	2	data	datum	NOUN
cana-4843	84	3	pre	pre	NOUN
cana-4843	84	4	-	-	NOUN
cana-4843	84	5	processing	processing	ADJ
cana-4843	84	6	:	:	PUNCT
cana-4843	84	7	this	this	DET
cana-4843	84	8	step	step	NOUN
cana-4843	84	9	involves	involve	VERB
cana-4843	84	10	handling	handle	VERB
cana-4843	84	11	missing	missing	ADJ
cana-4843	84	12	or	or	CCONJ
cana-4843	84	13	erroneous	erroneous	ADJ
cana-4843	84	14	data	datum	NOUN
cana-4843	84	15	points	point	NOUN
cana-4843	84	16	in	in	ADP
cana-4843	84	17	the	the	DET
cana-4843	84	18	dataset	dataset	NOUN
cana-4843	84	19	.	.	PUNCT
cana-4843	85	1	it	it	PRON
cana-4843	85	2	may	may	AUX
cana-4843	85	3	include	include	VERB
cana-4843	85	4	techniques	technique	NOUN
cana-4843	85	5	such	such	ADJ
cana-4843	85	6	as	as	ADP
cana-4843	85	7	imputation	imputation	NOUN
cana-4843	85	8	(	(	PUNCT
cana-4843	85	9	replacing	replace	VERB
cana-4843	85	10	missing	missing	ADJ
cana-4843	85	11	values	value	NOUN
cana-4843	85	12	)	)	PUNCT
cana-4843	85	13	or	or	CCONJ
cana-4843	85	14	removal	removal	NOUN
cana-4843	85	15	of	of	ADP
cana-4843	85	16	incomplete	incomplete	ADJ
cana-4843	85	17	records	record	NOUN
cana-4843	85	18	.	.	PUNCT
cana-4843	86	1	this	this	DET
cana-4843	86	2	step	step	NOUN
cana-4843	86	3	ensures	ensure	VERB
cana-4843	86	4	that	that	SCONJ
cana-4843	86	5	the	the	DET
cana-4843	86	6	data	data	NOUN
cana-4843	86	7	is	be	AUX
cana-4843	86	8	in	in	ADP
cana-4843	86	9	a	a	DET
cana-4843	86	10	suitable	suitable	ADJ
cana-4843	86	11	format	format	NOUN
cana-4843	86	12	for	for	ADP
cana-4843	86	13	feature	feature	NOUN
cana-4843	86	14	selection	selection	NOUN
cana-4843	86	15	and	and	CCONJ
cana-4843	86	16	model	model	NOUN
cana-4843	86	17	training	training	NOUN
cana-4843	86	18	.	.	PUNCT
cana-4843	87	1	feature	feature	NOUN
cana-4843	87	2	selection	selection	NOUN
cana-4843	87	3	:	:	PUNCT
cana-4843	87	4	feature	feature	NOUN
cana-4843	87	5	selection	selection	NOUN
cana-4843	87	6	aims	aim	VERB
cana-4843	87	7	to	to	PART
cana-4843	87	8	choose	choose	VERB
cana-4843	87	9	attributes	attribute	NOUN
cana-4843	87	10	that	that	PRON
cana-4843	87	11	are	be	AUX
cana-4843	87	12	most	most	ADV
cana-4843	87	13	informative	informative	ADJ
cana-4843	87	14	for	for	ADP
cana-4843	87	15	detecting	detect	VERB
cana-4843	87	16	malicious	malicious	ADJ
cana-4843	87	17	doh	doh	NOUN
cana-4843	87	18	traffic	traffic	NOUN
cana-4843	87	19	.	.	PUNCT
cana-4843	88	1	this	this	DET
cana-4843	88	2	process	process	NOUN
cana-4843	88	3	helps	help	VERB
cana-4843	88	4	in	in	ADP
cana-4843	88	5	reducing	reduce	VERB
cana-4843	88	6	dimensionality	dimensionality	NOUN
cana-4843	88	7	and	and	CCONJ
cana-4843	88	8	focusing	focus	VERB
cana-4843	88	9	on	on	ADP
cana-4843	88	10	the	the	DET
cana-4843	88	11	most	most	ADV
cana-4843	88	12	predictive	predictive	ADJ
cana-4843	88	13	features	feature	NOUN
cana-4843	88	14	.	.	PUNCT
cana-4843	89	1	i.	i.	PROPN
cana-4843	89	2	principal	principal	PROPN
cana-4843	89	3	component	component	NOUN
cana-4843	89	4	analysis	analysis	NOUN
cana-4843	89	5	(	(	PUNCT
cana-4843	89	6	pca	pca	NOUN
cana-4843	89	7	):	):	PUNCT
cana-4843	89	8	pca	pca	PROPN
cana-4843	89	9	reduces	reduce	VERB
cana-4843	89	10	the	the	DET
cana-4843	89	11	dimensionality	dimensionality	NOUN
cana-4843	89	12	of	of	ADP
cana-4843	89	13	data	datum	NOUN
cana-4843	89	14	while	while	SCONJ
cana-4843	89	15	preserving	preserve	VERB
cana-4843	89	16	as	as	ADV
cana-4843	89	17	much	much	ADJ
cana-4843	89	18	variance	variance	NOUN
cana-4843	89	19	as	as	ADP
cana-4843	89	20	possible	possible	ADJ
cana-4843	89	21	.	.	PUNCT
cana-4843	90	1	this	this	PRON
cana-4843	90	2	is	be	AUX
cana-4843	90	3	achieved	achieve	VERB
cana-4843	90	4	by	by	ADP
cana-4843	90	5	transforming	transform	VERB
cana-4843	90	6	the	the	DET
cana-4843	90	7	original	original	ADJ
cana-4843	90	8	features	feature	NOUN
cana-4843	90	9	into	into	ADP
cana-4843	90	10	a	a	DET
cana-4843	90	11	new	new	ADJ
cana-4843	90	12	set	set	NOUN
cana-4843	90	13	of	of	ADP
cana-4843	90	14	orthogonal	orthogonal	ADJ
cana-4843	90	15	features	feature	NOUN
cana-4843	90	16	called	call	VERB
cana-4843	90	17	principal	principal	ADJ
cana-4843	90	18	components	component	NOUN
cana-4843	90	19	.	.	PUNCT
cana-4843	91	1	covariance	covariance	NOUN
cana-4843	91	2	matrix	matrix	NOUN
cana-4843	91	3	calculation	calculation	NOUN
cana-4843	91	4	given	give	VERB
cana-4843	91	5	the	the	DET
cana-4843	91	6	data	datum	NOUN
cana-4843	91	7	matrix	matrix	NOUN
cana-4843	91	8	x	x	NOUN
cana-4843	91	9	,	,	PUNCT
cana-4843	91	10	where	where	SCONJ
cana-4843	91	11	rows	row	NOUN
cana-4843	91	12	represent	represent	VERB
cana-4843	91	13	samples	sample	NOUN
cana-4843	91	14	and	and	CCONJ
cana-4843	91	15	columns	column	NOUN
cana-4843	91	16	represent	represent	VERB
cana-4843	91	17	features	feature	NOUN
cana-4843	91	18	,	,	PUNCT
cana-4843	91	19	the	the	DET
cana-4843	91	20	covariance	covariance	NOUN
cana-4843	91	21	matrix	matrix	NOUN
cana-4843	91	22	c	c	NOUN
cana-4843	91	23	is	be	AUX
cana-4843	91	24	calculated	calculate	VERB
cana-4843	91	25	as	as	ADP
cana-4843	91	26	:	:	PUNCT
cana-4843	91	27	c	c	NOUN
cana-4843	91	28	=	=	SYM
cana-4843	91	29	1	1	NUM
cana-4843	91	30	n	n	NUM
cana-4843	91	31	−	−	PROPN
cana-4843	91	32	1	1	NUM
cana-4843	91	33	xtx	xtx	X
cana-4843	91	34	(	(	PUNCT
cana-4843	91	35	1	1	NUM
cana-4843	91	36	)	)	PUNCT
cana-4843	91	37	where	where	SCONJ
cana-4843	91	38	,	,	PUNCT
cana-4843	91	39	n	n	PRON
cana-4843	91	40	is	be	AUX
cana-4843	91	41	the	the	DET
cana-4843	91	42	number	number	NOUN
cana-4843	91	43	of	of	ADP
cana-4843	91	44	samples	sample	NOUN
cana-4843	91	45	,	,	PUNCT
cana-4843	91	46	xt	xt	X
cana-4843	91	47	is	be	AUX
cana-4843	91	48	the	the	DET
cana-4843	91	49	transpose	transpose	NOUN
cana-4843	91	50	of	of	ADP
cana-4843	91	51	x.	x.	NOUN
cana-4843	91	52	communications	communication	NOUN
cana-4843	91	53	on	on	ADP
cana-4843	91	54	applied	apply	VERB
cana-4843	91	55	nonlinear	nonlinear	ADJ
cana-4843	91	56	analysis	analysis	NOUN
cana-4843	91	57	issn	issn	NOUN
cana-4843	91	58	:	:	PUNCT
cana-4843	91	59	1074	1074	NUM
cana-4843	91	60	-	-	PUNCT
cana-4843	91	61	133x	133x	NUM
cana-4843	91	62	vol	vol	VERB
cana-4843	91	63	32	32	NUM
cana-4843	91	64	no	no	NOUN
cana-4843	91	65	.	.	PUNCT
cana-4843	92	1	10s	10	NOUN
cana-4843	92	2	(	(	PUNCT
cana-4843	92	3	2025	2025	NUM
cana-4843	92	4	)	)	PUNCT
cana-4843	92	5	495	495	NUM
cana-4843	92	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4843	92	7	ii	ii	PROPN
cana-4843	92	8	.	.	PUNCT
cana-4843	93	1	lasso	lasso	PROPN
cana-4843	93	2	regression	regression	NOUN
cana-4843	93	3	(	(	PUNCT
cana-4843	93	4	lr	lr	PROPN
cana-4843	93	5	)	)	PUNCT
cana-4843	93	6	knn	knn	PROPN
cana-4843	93	7	is	be	AUX
cana-4843	93	8	a	a	DET
cana-4843	93	9	popular	popular	ADJ
cana-4843	93	10	supervised	supervised	ADJ
cana-4843	93	11	learning	learn	VERB
cana-4843	93	12	algorithm	algorithm	NOUN
cana-4843	93	13	primarily	primarily	ADV
cana-4843	93	14	used	use	VERB
cana-4843	93	15	for	for	ADP
cana-4843	93	16	classification	classification	NOUN
cana-4843	93	17	tasks	task	NOUN
cana-4843	93	18	.	.	PUNCT
cana-4843	94	1	knn	knn	PROPN
cana-4843	94	2	works	work	VERB
cana-4843	94	3	by	by	ADP
cana-4843	94	4	identifying	identify	VERB
cana-4843	94	5	the	the	DET
cana-4843	94	6	closest	close	ADJ
cana-4843	94	7	training	training	NOUN
cana-4843	94	8	examples	example	NOUN
cana-4843	94	9	in	in	ADP
cana-4843	94	10	the	the	DET
cana-4843	94	11	feature	feature	NOUN
cana-4843	94	12	space	space	NOUN
cana-4843	94	13	,	,	PUNCT
cana-4843	94	14	making	make	VERB
cana-4843	94	15	it	it	PRON
cana-4843	94	16	effective	effective	ADJ
cana-4843	94	17	for	for	ADP
cana-4843	94	18	detecting	detect	VERB
cana-4843	94	19	patterns	pattern	NOUN
cana-4843	94	20	associated	associate	VERB
cana-4843	94	21	with	with	ADP
cana-4843	94	22	different	different	ADJ
cana-4843	94	23	types	type	NOUN
cana-4843	94	24	of	of	ADP
cana-4843	94	25	attacks	attack	NOUN
cana-4843	94	26	.	.	PUNCT
cana-4843	95	1	however	however	ADV
cana-4843	95	2	,	,	PUNCT
cana-4843	95	3	knn	knn	PROPN
cana-4843	95	4	alone	alone	ADV
cana-4843	95	5	can	can	AUX
cana-4843	95	6	struggle	struggle	VERB
cana-4843	95	7	when	when	SCONJ
cana-4843	95	8	irrelevant	irrelevant	ADJ
cana-4843	95	9	or	or	CCONJ
cana-4843	95	10	redundant	redundant	ADJ
cana-4843	95	11	features	feature	NOUN
cana-4843	95	12	are	be	AUX
cana-4843	95	13	present	present	ADJ
cana-4843	95	14	,	,	PUNCT
cana-4843	95	15	potentially	potentially	ADV
cana-4843	95	16	leading	lead	VERB
cana-4843	95	17	to	to	ADP
cana-4843	95	18	overfitting	overfitte	VERB
cana-4843	95	19	or	or	CCONJ
cana-4843	95	20	reduced	reduce	VERB
cana-4843	95	21	accuracy	accuracy	NOUN
cana-4843	95	22	.	.	PUNCT
cana-4843	96	1	lr	lr	NOUN
cana-4843	96	2	,	,	PUNCT
cana-4843	96	3	is	be	AUX
cana-4843	96	4	a	a	DET
cana-4843	96	5	linear	linear	ADJ
cana-4843	96	6	regression	regression	NOUN
cana-4843	96	7	that	that	PRON
cana-4843	96	8	applies	apply	VERB
cana-4843	96	9	l1	l1	PROPN
cana-4843	96	10	regularization	regularization	NOUN
cana-4843	96	11	,	,	PUNCT
cana-4843	96	12	is	be	AUX
cana-4843	96	13	useful	useful	ADJ
cana-4843	96	14	for	for	ADP
cana-4843	96	15	feature	feature	NOUN
cana-4843	96	16	selection	selection	NOUN
cana-4843	96	17	.	.	PUNCT
cana-4843	97	1	by	by	ADP
cana-4843	97	2	penalizing	penalize	VERB
cana-4843	97	3	less	less	ADV
cana-4843	97	4	informative	informative	ADJ
cana-4843	97	5	features	feature	NOUN
cana-4843	97	6	and	and	CCONJ
cana-4843	97	7	assigning	assign	VERB
cana-4843	97	8	them	they	PRON
cana-4843	97	9	a	a	DET
cana-4843	97	10	zero	zero	NUM
cana-4843	97	11	weight	weight	NOUN
cana-4843	97	12	,	,	PUNCT
cana-4843	97	13	lasso	lasso	NOUN
cana-4843	97	14	helps	help	VERB
cana-4843	97	15	reduce	reduce	VERB
cana-4843	97	16	dimensionality	dimensionality	NOUN
cana-4843	97	17	and	and	CCONJ
cana-4843	97	18	improve	improve	VERB
cana-4843	97	19	model	model	NOUN
cana-4843	97	20	interpretability	interpretability	NOUN
cana-4843	97	21	,	,	PUNCT
cana-4843	97	22	retaining	retain	VERB
cana-4843	97	23	only	only	ADV
cana-4843	97	24	the	the	DET
cana-4843	97	25	most	most	ADV
cana-4843	97	26	significant	significant	ADJ
cana-4843	97	27	features	feature	NOUN
cana-4843	97	28	.	.	PUNCT
cana-4843	98	1	it	it	PRON
cana-4843	98	2	is	be	AUX
cana-4843	98	3	an	an	DET
cana-4843	98	4	ideal	ideal	ADJ
cana-4843	98	5	companion	companion	NOUN
cana-4843	98	6	for	for	ADP
cana-4843	98	7	knn	knn	PROPN
cana-4843	98	8	,	,	PUNCT
cana-4843	98	9	as	as	SCONJ
cana-4843	98	10	it	it	PRON
cana-4843	98	11	can	can	AUX
cana-4843	98	12	preprocess	preprocess	VERB
cana-4843	98	13	data	datum	NOUN
cana-4843	98	14	by	by	ADP
cana-4843	98	15	reducing	reduce	VERB
cana-4843	98	16	feature	feature	NOUN
cana-4843	98	17	noise	noise	NOUN
cana-4843	98	18	.	.	PUNCT
cana-4843	99	1	lasso	lasso	NOUN
cana-4843	99	2	(	(	PUNCT
cana-4843	99	3	least	least	ADJ
cana-4843	99	4	absolute	absolute	ADJ
cana-4843	99	5	shrinkage	shrinkage	NOUN
cana-4843	99	6	and	and	CCONJ
cana-4843	99	7	selection	selection	NOUN
cana-4843	99	8	operator	operator	NOUN
cana-4843	99	9	)	)	PUNCT
cana-4843	99	10	regression	regression	NOUN
cana-4843	99	11	minimizes	minimize	VERB
cana-4843	99	12	the	the	DET
cana-4843	99	13	sum	sum	NOUN
cana-4843	99	14	of	of	ADP
cana-4843	99	15	squared	square	VERB
cana-4843	99	16	errors	error	NOUN
cana-4843	99	17	with	with	ADP
cana-4843	99	18	a	a	DET
cana-4843	99	19	penalty	penalty	NOUN
cana-4843	99	20	proportional	proportional	NOUN
cana-4843	99	21	to	to	ADP
cana-4843	99	22	the	the	DET
cana-4843	99	23	absolute	absolute	ADJ
cana-4843	99	24	value	value	NOUN
cana-4843	99	25	of	of	ADP
cana-4843	99	26	the	the	DET
cana-4843	99	27	coefficients	coefficient	NOUN
cana-4843	99	28	,	,	PUNCT
cana-4843	99	29	effectively	effectively	ADV
cana-4843	99	30	setting	set	VERB
cana-4843	99	31	some	some	DET
cana-4843	99	32	coefficients	coefficient	NOUN
cana-4843	99	33	to	to	ADP
cana-4843	99	34	zero	zero	NUM
cana-4843	99	35	and	and	CCONJ
cana-4843	99	36	performing	perform	VERB
cana-4843	99	37	feature	feature	NOUN
cana-4843	99	38	selection	selection	NOUN
cana-4843	99	39	.	.	PUNCT
cana-4843	100	1	this	this	PRON
cana-4843	100	2	can	can	AUX
cana-4843	100	3	help	help	VERB
cana-4843	100	4	to	to	PART
cana-4843	100	5	reduce	reduce	VERB
cana-4843	100	6	dimensionality	dimensionality	NOUN
cana-4843	100	7	before	before	ADP
cana-4843	100	8	using	use	VERB
cana-4843	100	9	knn	knn	PROPN
cana-4843	100	10	.	.	PUNCT
cana-4843	101	1	the	the	DET
cana-4843	101	2	lr	lr	PROPN
cana-4843	101	3	objective	objective	ADJ
cana-4843	101	4	function	function	NOUN
cana-4843	101	5	is	be	AUX
cana-4843	101	6	:	:	PUNCT
cana-4843	101	7	min	min	X
cana-4843	101	8	β	β	X
cana-4843	101	9	(	(	PUNCT
cana-4843	101	10	∑(yi	∑(yi	PROPN
cana-4843	101	11	−	−	PROPN
cana-4843	101	12	n	n	CCONJ
cana-4843	101	13	i=1	i=1	PROPN
cana-4843	101	14	∑	∑	PUNCT
cana-4843	101	15	xijβj	xijβj	ADJ
cana-4843	101	16	)	)	PUNCT
cana-4843	101	17	2	2	NUM
cana-4843	101	18	+	+	NUM
cana-4843	101	19	⋋	⋋	NUM
cana-4843	101	20	∑	∑	SYM
cana-4843	101	21	|βj)|	|βj)|	NOUN
cana-4843	101	22	p	p	X
cana-4843	101	23	j−1	j−1	PROPN
cana-4843	101	24	p	p	X
cana-4843	101	25	j=1	j=1	NOUN
cana-4843	101	26	(	(	PUNCT
cana-4843	101	27	5	5	X
cana-4843	101	28	)	)	PUNCT
cana-4843	101	29	yi	yi	NOUN
cana-4843	101	30	:	:	PUNCT
cana-4843	101	31	target	target	VERB
cana-4843	101	32	variable	variable	NOUN
cana-4843	101	33	for	for	ADP
cana-4843	101	34	observation	observation	NOUN
cana-4843	101	35	i.	i.	NOUN
cana-4843	101	36	xij	xij	PROPN
cana-4843	101	37	:	:	PUNCT
cana-4843	101	38	feature	feature	VERB
cana-4843	101	39	𝑗	𝑗	INTJ
cana-4843	101	40	for	for	ADP
cana-4843	101	41	observation	observation	NOUN
cana-4843	101	42	i.	i.	NOUN
cana-4843	101	43	βj	βj	PRON
cana-4843	101	44	:	:	PUNCT
cana-4843	101	45	coefficient	coefficient	NOUN
cana-4843	101	46	for	for	ADP
cana-4843	101	47	feature	feature	NOUN
cana-4843	101	48	i.	i.	NOUN
cana-4843	101	49	⋋	⋋	ADP
cana-4843	101	50	regularization	regularization	NOUN
cana-4843	101	51	parameter	parameter	NOUN
cana-4843	101	52	controlling	control	VERB
cana-4843	101	53	the	the	DET
cana-4843	101	54	penalty	penalty	NOUN
cana-4843	101	55	for	for	ADP
cana-4843	101	56	larger	large	ADJ
cana-4843	101	57	coefficients	coefficient	NOUN
cana-4843	101	58	.	.	PUNCT
cana-4843	102	1	iii	iii	X
cana-4843	102	2	.	.	PUNCT
cana-4843	102	3	logistic	logistic	ADJ
cana-4843	102	4	regression	regression	NOUN
cana-4843	102	5	(	(	PUNCT
cana-4843	102	6	lor	lor	NOUN
cana-4843	102	7	)	)	PUNCT
cana-4843	102	8	in	in	ADP
cana-4843	102	9	recent	recent	ADJ
cana-4843	102	10	years	year	NOUN
cana-4843	102	11	,	,	PUNCT
cana-4843	102	12	with	with	ADP
cana-4843	102	13	the	the	DET
cana-4843	102	14	exponential	exponential	ADJ
cana-4843	102	15	growth	growth	NOUN
cana-4843	102	16	of	of	ADP
cana-4843	102	17	digital	digital	ADJ
cana-4843	102	18	traffic	traffic	NOUN
cana-4843	102	19	and	and	CCONJ
cana-4843	102	20	increasing	increase	VERB
cana-4843	102	21	dependency	dependency	NOUN
cana-4843	102	22	on	on	ADP
cana-4843	102	23	internetbased	internetbased	ADJ
cana-4843	102	24	applications	application	NOUN
cana-4843	102	25	,	,	PUNCT
cana-4843	102	26	the	the	DET
cana-4843	102	27	need	need	NOUN
cana-4843	102	28	for	for	ADP
cana-4843	102	29	robust	robust	ADJ
cana-4843	102	30	cybersecurity	cybersecurity	NOUN
cana-4843	102	31	measures	measure	NOUN
cana-4843	102	32	has	have	AUX
cana-4843	102	33	become	become	VERB
cana-4843	102	34	more	more	ADV
cana-4843	102	35	pressing	pressing	ADJ
cana-4843	102	36	.	.	PUNCT
cana-4843	103	1	cyberattacks	cyberattack	NOUN
cana-4843	103	2	continue	continue	VERB
cana-4843	103	3	to	to	PART
cana-4843	103	4	evolve	evolve	VERB
cana-4843	103	5	,	,	PUNCT
cana-4843	103	6	exploiting	exploit	VERB
cana-4843	103	7	vulnerabilities	vulnerability	NOUN
cana-4843	103	8	across	across	ADP
cana-4843	103	9	various	various	ADJ
cana-4843	103	10	layers	layer	NOUN
cana-4843	103	11	of	of	ADP
cana-4843	103	12	network	network	NOUN
cana-4843	103	13	and	and	CCONJ
cana-4843	103	14	application	application	NOUN
cana-4843	103	15	protocols	protocol	NOUN
cana-4843	103	16	.	.	PUNCT
cana-4843	104	1	among	among	ADP
cana-4843	104	2	these	these	DET
cana-4843	104	3	attacks	attack	NOUN
cana-4843	104	4	,	,	PUNCT
cana-4843	104	5	domain	domain	NOUN
cana-4843	104	6	name	name	NOUN
cana-4843	104	7	system	system	NOUN
cana-4843	104	8	(	(	PUNCT
cana-4843	104	9	dns	dns	NOUN
cana-4843	104	10	)	)	PUNCT
cana-4843	104	11	abuse	abuse	NOUN
cana-4843	104	12	through	through	ADP
cana-4843	104	13	encrypted	encrypt	VERB
cana-4843	104	14	dns	dns	NOUN
cana-4843	104	15	protocols	protocol	NOUN
cana-4843	104	16	,	,	PUNCT
cana-4843	104	17	such	such	ADJ
cana-4843	104	18	as	as	ADP
cana-4843	104	19	dns	dns	NOUN
cana-4843	104	20	over	over	ADP
cana-4843	104	21	https	https	NOUN
cana-4843	104	22	(	(	PUNCT
cana-4843	104	23	doh	doh	PROPN
cana-4843	104	24	)	)	PUNCT
cana-4843	104	25	,	,	PUNCT
cana-4843	104	26	has	have	AUX
cana-4843	104	27	become	become	VERB
cana-4843	104	28	particularly	particularly	ADV
cana-4843	104	29	challenging	challenging	ADJ
cana-4843	104	30	for	for	ADP
cana-4843	104	31	detection	detection	NOUN
cana-4843	104	32	mechanisms	mechanism	NOUN
cana-4843	104	33	,	,	PUNCT
cana-4843	104	34	as	as	SCONJ
cana-4843	104	35	the	the	DET
cana-4843	104	36	encryption	encryption	NOUN
cana-4843	104	37	obscures	obscure	VERB
cana-4843	104	38	traditional	traditional	ADJ
cana-4843	104	39	security	security	NOUN
cana-4843	104	40	inspections	inspection	NOUN
cana-4843	104	41	.	.	PUNCT
cana-4843	105	1	the	the	DET
cana-4843	105	2	cira	cira	PROPN
cana-4843	105	3	-	-	PUNCT
cana-4843	105	4	cic	cic	PROPN
cana-4843	105	5	-	-	PUNCT
cana-4843	105	6	dohbrw2020	dohbrw2020	VERB
cana-4843	105	7	dataset	dataset	NOUN
cana-4843	105	8	provides	provide	VERB
cana-4843	105	9	a	a	DET
cana-4843	105	10	valuable	valuable	ADJ
cana-4843	105	11	resource	resource	NOUN
cana-4843	105	12	to	to	PART
cana-4843	105	13	analyze	analyze	VERB
cana-4843	105	14	and	and	CCONJ
cana-4843	105	15	classify	classify	VERB
cana-4843	105	16	such	such	ADJ
cana-4843	105	17	attacks	attack	NOUN
cana-4843	105	18	,	,	PUNCT
cana-4843	105	19	enabling	enable	VERB
cana-4843	105	20	researchers	researcher	NOUN
cana-4843	105	21	and	and	CCONJ
cana-4843	105	22	security	security	NOUN
cana-4843	105	23	professionals	professional	NOUN
cana-4843	105	24	to	to	PART
cana-4843	105	25	develop	develop	VERB
cana-4843	105	26	models	model	NOUN
cana-4843	105	27	that	that	PRON
cana-4843	105	28	can	can	AUX
cana-4843	105	29	effectively	effectively	ADV
cana-4843	105	30	detect	detect	VERB
cana-4843	105	31	and	and	CCONJ
cana-4843	105	32	prevent	prevent	VERB
cana-4843	105	33	these	these	DET
cana-4843	105	34	threats	threat	NOUN
cana-4843	105	35	.	.	PUNCT
cana-4843	106	1	this	this	DET
cana-4843	106	2	project	project	NOUN
cana-4843	106	3	explores	explore	VERB
cana-4843	106	4	the	the	DET
cana-4843	106	5	use	use	NOUN
cana-4843	106	6	of	of	ADP
cana-4843	106	7	logistic	logistic	ADJ
cana-4843	106	8	regression	regression	NOUN
cana-4843	106	9	for	for	ADP
cana-4843	106	10	classifying	classify	VERB
cana-4843	106	11	types	type	NOUN
cana-4843	106	12	of	of	ADP
cana-4843	106	13	cyber	cyber	NOUN
cana-4843	106	14	attacks	attack	NOUN
cana-4843	106	15	in	in	ADP
cana-4843	106	16	the	the	DET
cana-4843	106	17	ciracic	ciracic	NOUN
cana-4843	106	18	-	-	PUNCT
cana-4843	106	19	dohbrw-2020	dohbrw-2020	VERB
cana-4843	106	20	dataset	dataset	NOUN
cana-4843	106	21	.	.	PUNCT
cana-4843	107	1	lor	lor	PROPN
cana-4843	107	2	,	,	PUNCT
cana-4843	107	3	a	a	DET
cana-4843	107	4	statistical	statistical	ADJ
cana-4843	107	5	method	method	NOUN
cana-4843	107	6	commonly	commonly	ADV
cana-4843	107	7	used	use	VERB
cana-4843	107	8	for	for	ADP
cana-4843	107	9	binary	binary	ADJ
cana-4843	107	10	and	and	CCONJ
cana-4843	107	11	multiclass	multiclass	ADJ
cana-4843	107	12	classification	classification	NOUN
cana-4843	107	13	problems	problem	NOUN
cana-4843	107	14	,	,	PUNCT
cana-4843	107	15	is	be	AUX
cana-4843	107	16	particularly	particularly	ADV
cana-4843	107	17	suitable	suitable	ADJ
cana-4843	107	18	for	for	ADP
cana-4843	107	19	understanding	understand	VERB
cana-4843	107	20	relationships	relationship	NOUN
cana-4843	107	21	between	between	ADP
cana-4843	107	22	various	various	ADJ
cana-4843	107	23	network	network	NOUN
cana-4843	107	24	features	feature	NOUN
cana-4843	107	25	and	and	CCONJ
cana-4843	107	26	the	the	DET
cana-4843	107	27	likelihood	likelihood	NOUN
cana-4843	107	28	of	of	ADP
cana-4843	107	29	attack	attack	NOUN
cana-4843	107	30	.	.	PUNCT
cana-4843	108	1	by	by	ADP
cana-4843	108	2	leveraging	leverage	VERB
cana-4843	108	3	lor	lor	NOUN
cana-4843	108	4	interpretability	interpretability	NOUN
cana-4843	108	5	and	and	CCONJ
cana-4843	108	6	efficiency	efficiency	NOUN
cana-4843	108	7	,	,	PUNCT
cana-4843	108	8	this	this	DET
cana-4843	108	9	study	study	NOUN
cana-4843	108	10	aims	aim	VERB
cana-4843	108	11	to	to	PART
cana-4843	108	12	achieve	achieve	VERB
cana-4843	108	13	accurate	accurate	ADJ
cana-4843	108	14	classification	classification	NOUN
cana-4843	108	15	results	result	NOUN
cana-4843	108	16	while	while	SCONJ
cana-4843	108	17	providing	provide	VERB
cana-4843	108	18	insights	insight	NOUN
cana-4843	108	19	into	into	ADP
cana-4843	108	20	feature	feature	NOUN
cana-4843	108	21	importance	importance	NOUN
cana-4843	108	22	and	and	CCONJ
cana-4843	108	23	attack	attack	NOUN
cana-4843	108	24	behavior	behavior	NOUN
cana-4843	108	25	patterns	pattern	NOUN
cana-4843	108	26	in	in	ADP
cana-4843	108	27	encrypted	encrypt	VERB
cana-4843	108	28	dns	dns	NOUN
cana-4843	108	29	traffic	traffic	NOUN
cana-4843	108	30	.	.	PUNCT
cana-4843	109	1	the	the	DET
cana-4843	109	2	scope	scope	NOUN
cana-4843	109	3	of	of	ADP
cana-4843	109	4	this	this	DET
cana-4843	109	5	project	project	NOUN
cana-4843	109	6	involves	involve	VERB
cana-4843	109	7	data	datum	NOUN
cana-4843	109	8	preprocessing	preprocessing	NOUN
cana-4843	109	9	,	,	PUNCT
cana-4843	109	10	feature	feature	NOUN
cana-4843	109	11	selection	selection	NOUN
cana-4843	109	12	,	,	PUNCT
cana-4843	109	13	and	and	CCONJ
cana-4843	109	14	model	model	NOUN
cana-4843	109	15	training	training	NOUN
cana-4843	109	16	and	and	CCONJ
cana-4843	109	17	evaluation	evaluation	NOUN
cana-4843	109	18	.	.	PUNCT
cana-4843	110	1	emphasis	emphasis	NOUN
cana-4843	110	2	will	will	AUX
cana-4843	110	3	be	be	AUX
cana-4843	110	4	placed	place	VERB
cana-4843	110	5	on	on	ADP
cana-4843	110	6	assessing	assess	VERB
cana-4843	110	7	the	the	DET
cana-4843	110	8	performance	performance	NOUN
cana-4843	110	9	of	of	ADP
cana-4843	110	10	logistic	logistic	ADJ
cana-4843	110	11	regression	regression	NOUN
cana-4843	110	12	in	in	ADP
cana-4843	110	13	comparison	comparison	NOUN
cana-4843	110	14	to	to	ADP
cana-4843	110	15	other	other	ADJ
cana-4843	110	16	algorithms	algorithm	NOUN
cana-4843	110	17	for	for	ADP
cana-4843	110	18	cyber	cyber	NOUN
cana-4843	110	19	attack	attack	NOUN
cana-4843	110	20	detection	detection	NOUN
cana-4843	110	21	and	and	CCONJ
cana-4843	110	22	evaluating	evaluate	VERB
cana-4843	110	23	the	the	DET
cana-4843	110	24	model	model	NOUN
cana-4843	110	25	’s	’s	PART
cana-4843	110	26	efficacy	efficacy	NOUN
cana-4843	110	27	in	in	ADP
cana-4843	110	28	real	real	ADJ
cana-4843	110	29	-	-	PUNCT
cana-4843	110	30	time	time	NOUN
cana-4843	110	31	applications	application	NOUN
cana-4843	110	32	.	.	PUNCT
cana-4843	111	1	through	through	ADP
cana-4843	111	2	this	this	DET
cana-4843	111	3	approach	approach	NOUN
cana-4843	111	4	,	,	PUNCT
cana-4843	111	5	this	this	DET
cana-4843	111	6	project	project	NOUN
cana-4843	111	7	contributes	contribute	VERB
cana-4843	111	8	to	to	ADP
cana-4843	111	9	the	the	DET
cana-4843	111	10	development	development	NOUN
cana-4843	111	11	of	of	ADP
cana-4843	111	12	lightweight	lightweight	ADJ
cana-4843	111	13	and	and	CCONJ
cana-4843	111	14	interpretable	interpretable	ADJ
cana-4843	111	15	solutions	solution	NOUN
cana-4843	111	16	for	for	ADP
cana-4843	111	17	detecting	detect	VERB
cana-4843	111	18	communications	communication	NOUN
cana-4843	111	19	on	on	ADP
cana-4843	111	20	applied	apply	VERB
cana-4843	111	21	nonlinear	nonlinear	ADJ
cana-4843	111	22	analysis	analysis	NOUN
cana-4843	111	23	issn	issn	NOUN
cana-4843	111	24	:	:	PUNCT
cana-4843	111	25	1074	1074	NUM
cana-4843	111	26	-	-	PUNCT
cana-4843	111	27	133x	133x	NUM
cana-4843	111	28	vol	vol	VERB
cana-4843	111	29	32	32	NUM
cana-4843	111	30	no	no	NOUN
cana-4843	111	31	.	.	PUNCT
cana-4843	112	1	10s	10	NOUN
cana-4843	112	2	(	(	PUNCT
cana-4843	112	3	2025	2025	NUM
cana-4843	112	4	)	)	PUNCT
cana-4843	112	5	496	496	NUM
cana-4843	112	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4843	112	7	encrypted	encrypt	VERB
cana-4843	112	8	dns	dns	NOUN
cana-4843	112	9	-	-	PUNCT
cana-4843	112	10	based	base	VERB
cana-4843	112	11	attacks	attack	NOUN
cana-4843	112	12	,	,	PUNCT
cana-4843	112	13	which	which	PRON
cana-4843	112	14	can	can	AUX
cana-4843	112	15	be	be	AUX
cana-4843	112	16	integrated	integrate	VERB
cana-4843	112	17	into	into	ADP
cana-4843	112	18	real	real	ADJ
cana-4843	112	19	-	-	PUNCT
cana-4843	112	20	time	time	NOUN
cana-4843	112	21	security	security	NOUN
cana-4843	112	22	systems	system	NOUN
cana-4843	112	23	.	.	PUNCT
cana-4843	113	1	the	the	DET
cana-4843	113	2	following	follow	VERB
cana-4843	113	3	steps	step	NOUN
cana-4843	113	4	used	use	VERB
cana-4843	113	5	in	in	ADP
cana-4843	113	6	this	this	DET
cana-4843	113	7	context	context	NOUN
cana-4843	113	8	:	:	PUNCT
cana-4843	113	9	step	step	NOUN
cana-4843	113	10	1	1	NUM
cana-4843	113	11	:	:	PUNCT
cana-4843	113	12	sigmoid	sigmoid	NOUN
cana-4843	113	13	function	function	NOUN
cana-4843	113	14	(	(	PUNCT
cana-4843	113	15	logistic	logistic	ADJ
cana-4843	113	16	function	function	NOUN
cana-4843	113	17	):	):	PUNCT
cana-4843	113	18	the	the	DET
cana-4843	113	19	logistic	logistic	ADJ
cana-4843	113	20	regression	regression	NOUN
cana-4843	113	21	model	model	NOUN
cana-4843	113	22	uses	use	VERB
cana-4843	113	23	the	the	DET
cana-4843	113	24	sigmoid	sigmoid	NOUN
cana-4843	113	25	function	function	NOUN
cana-4843	113	26	to	to	PART
cana-4843	113	27	transform	transform	VERB
cana-4843	113	28	the	the	DET
cana-4843	113	29	linear	linear	ADJ
cana-4843	113	30	combination	combination	NOUN
cana-4843	113	31	of	of	ADP
cana-4843	113	32	input	input	NOUN
cana-4843	113	33	features	feature	NOUN
cana-4843	113	34	into	into	ADP
cana-4843	113	35	a	a	DET
cana-4843	113	36	probability	probability	NOUN
cana-4843	113	37	output	output	NOUN
cana-4843	113	38	between	between	ADP
cana-4843	113	39	0	0	NUM
cana-4843	113	40	and	and	CCONJ
cana-4843	113	41	1	1	NUM
cana-4843	113	42	.	.	PUNCT
cana-4843	114	1	the	the	DET
cana-4843	114	2	sigmoid	sigmoid	NOUN
cana-4843	114	3	function	function	NOUN
cana-4843	114	4	is	be	AUX
cana-4843	114	5	defined	define	VERB
cana-4843	114	6	as	as	ADP
cana-4843	114	7	:	:	PUNCT
cana-4843	114	8	σ(z	σ(z	X
cana-4843	114	9	)	)	PUNCT
cana-4843	114	10	=	=	SYM
cana-4843	114	11	1	1	NUM
cana-4843	114	12	1	1	NUM
cana-4843	114	13	+	+	NUM
cana-4843	114	14	e−z	e−z	NOUN
cana-4843	114	15	(	(	PUNCT
cana-4843	114	16	6	6	NUM
cana-4843	114	17	)	)	PUNCT
cana-4843	115	1	where	where	SCONJ
cana-4843	115	2	z	z	NOUN
cana-4843	115	3	=	=	SYM
cana-4843	115	4	wtx	wtx	PROPN
cana-4843	116	1	+	+	CCONJ
cana-4843	116	2	b	b	NOUN
cana-4843	116	3	is	be	AUX
cana-4843	116	4	the	the	DET
cana-4843	116	5	linear	linear	ADJ
cana-4843	116	6	combination	combination	NOUN
cana-4843	116	7	of	of	ADP
cana-4843	116	8	the	the	DET
cana-4843	116	9	weights	weight	NOUN
cana-4843	116	10	w	w	NOUN
cana-4843	116	11	and	and	CCONJ
cana-4843	116	12	features	feature	VERB
cana-4843	116	13	x	x	X
cana-4843	116	14	,	,	PUNCT
cana-4843	116	15	with	with	ADP
cana-4843	116	16	b	b	X
cana-4843	116	17	as	as	ADP
cana-4843	116	18	the	the	DET
cana-4843	116	19	bias	bias	NOUN
cana-4843	116	20	term	term	NOUN
cana-4843	116	21	.	.	PUNCT
cana-4843	117	1	step	step	NOUN
cana-4843	117	2	2	2	NUM
cana-4843	117	3	:	:	PUNCT
cana-4843	117	4	model	model	NOUN
cana-4843	117	5	output	output	NOUN
cana-4843	117	6	(	(	PUNCT
cana-4843	117	7	probability	probability	NOUN
cana-4843	117	8	of	of	ADP
cana-4843	117	9	class	class	NOUN
cana-4843	117	10	1	1	NUM
cana-4843	117	11	):	):	PUNCT
cana-4843	117	12	the	the	DET
cana-4843	117	13	output	output	NOUN
cana-4843	117	14	of	of	ADP
cana-4843	117	15	the	the	DET
cana-4843	117	16	logistic	logistic	ADJ
cana-4843	117	17	regression	regression	NOUN
cana-4843	117	18	model	model	NOUN
cana-4843	117	19	represents	represent	VERB
cana-4843	117	20	the	the	DET
cana-4843	117	21	probability	probability	NOUN
cana-4843	117	22	that	that	SCONJ
cana-4843	117	23	a	a	DET
cana-4843	117	24	given	give	VERB
cana-4843	117	25	instance	instance	NOUN
cana-4843	117	26	belongs	belong	VERB
cana-4843	117	27	to	to	ADP
cana-4843	117	28	class	class	NOUN
cana-4843	117	29	1	1	NUM
cana-4843	117	30	(	(	PUNCT
cana-4843	117	31	e.g.	e.g.	ADV
cana-4843	117	32	,	,	PUNCT
cana-4843	117	33	indicating	indicate	VERB
cana-4843	117	34	a	a	DET
cana-4843	117	35	cyber	cyber	NOUN
cana-4843	117	36	attack	attack	NOUN
cana-4843	117	37	):	):	PUNCT
cana-4843	117	38	ŷ	ŷ	X
cana-4843	117	39	=	=	PUNCT
cana-4843	118	1	p(y	p(y	NOUN
cana-4843	118	2	=	=	SYM
cana-4843	118	3	1	1	X
cana-4843	119	1	x⁄	x⁄	NUM
cana-4843	119	2	=	=	SYM
cana-4843	119	3	1	1	NUM
cana-4843	119	4	1	1	NUM
cana-4843	119	5	+	+	NUM
cana-4843	119	6	e−(wtx+b	e−(wtx+b	NOUN
cana-4843	119	7	)	)	PUNCT
cana-4843	119	8	(	(	PUNCT
cana-4843	119	9	7	7	X
cana-4843	119	10	)	)	PUNCT
cana-4843	119	11	here	here	ADV
cana-4843	119	12	,	,	PUNCT
cana-4843	119	13	wtx	wtx	X
cana-4843	120	1	+	+	CCONJ
cana-4843	120	2	b	b	NOUN
cana-4843	120	3	represents	represent	VERB
cana-4843	120	4	the	the	DET
cana-4843	120	5	linear	linear	ADJ
cana-4843	120	6	decision	decision	NOUN
cana-4843	120	7	boundary	boundary	NOUN
cana-4843	120	8	.	.	PUNCT
cana-4843	121	1	step	step	NOUN
cana-4843	121	2	3	3	NUM
cana-4843	121	3	:	:	PUNCT
cana-4843	121	4	decision	decision	NOUN
cana-4843	121	5	boundary	boundary	NOUN
cana-4843	121	6	:	:	PUNCT
cana-4843	121	7	for	for	ADP
cana-4843	121	8	binary	binary	ADJ
cana-4843	121	9	classification	classification	NOUN
cana-4843	121	10	(	(	PUNCT
cana-4843	121	11	cyber	cyber	NOUN
cana-4843	121	12	attack	attack	NOUN
cana-4843	121	13	vs.	vs.	ADP
cana-4843	121	14	normal	normal	ADJ
cana-4843	121	15	)	)	PUNCT
cana-4843	121	16	,	,	PUNCT
cana-4843	121	17	a	a	DET
cana-4843	121	18	threshold	threshold	NOUN
cana-4843	121	19	τ	τ	PROPN
cana-4843	121	20	is	be	AUX
cana-4843	121	21	set	set	VERB
cana-4843	121	22	,	,	PUNCT
cana-4843	121	23	typically	typically	ADV
cana-4843	121	24	at	at	ADP
cana-4843	121	25	0.5	0.5	NUM
cana-4843	121	26	.	.	PUNCT
cana-4843	122	1	if	if	SCONJ
cana-4843	122	2	�	�	PROPN
cana-4843	122	3	̂	̂	SYM
cana-4843	122	4	�	�	PROPN
cana-4843	122	5	≥	≥	NUM
cana-4843	122	6	τ	τ	PROPN
cana-4843	122	7	,	,	PUNCT
cana-4843	122	8	the	the	DET
cana-4843	122	9	instance	instance	NOUN
cana-4843	122	10	is	be	AUX
cana-4843	122	11	classified	classify	VERB
cana-4843	122	12	as	as	ADP
cana-4843	122	13	class	class	NOUN
cana-4843	122	14	1	1	NUM
cana-4843	122	15	(	(	PUNCT
cana-4843	122	16	cyber	cyber	NOUN
cana-4843	122	17	attack	attack	NOUN
cana-4843	122	18	)	)	PUNCT
cana-4843	122	19	,	,	PUNCT
cana-4843	122	20	and	and	CCONJ
cana-4843	122	21	if	if	SCONJ
cana-4843	122	22	�	�	PROPN
cana-4843	122	23	̂	̂	SYM
cana-4843	122	24	�	�	PROPN
cana-4843	122	25	<	<	X
cana-4843	122	26	τ	τ	PROPN
cana-4843	122	27	,	,	PUNCT
cana-4843	122	28	it	it	PRON
cana-4843	122	29	is	be	AUX
cana-4843	122	30	classified	classify	VERB
cana-4843	122	31	as	as	ADP
cana-4843	122	32	class	class	NOUN
cana-4843	122	33	0	0	NUM
cana-4843	122	34	(	(	PUNCT
cana-4843	122	35	normal	normal	ADJ
cana-4843	122	36	traffic	traffic	NOUN
cana-4843	122	37	)	)	PUNCT
cana-4843	122	38	.	.	PUNCT
cana-4843	123	1	𝑃𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	𝑃𝑟𝑒𝑑𝑖𝑐𝑡𝑒𝑑	PROPN
cana-4843	123	2	𝐶𝑙𝑎𝑠𝑠	𝐶𝑙𝑎𝑠𝑠	PROPN
cana-4843	123	3	=	=	PUNCT
cana-4843	123	4	{	{	PUNCT
cana-4843	123	5	1	1	NUM
cana-4843	123	6	𝑖𝑓	𝑖𝑓	ADP
cana-4843	123	7	�	�	PROPN
cana-4843	123	8	̂	̂	PROPN
cana-4843	123	9	�	�	PROPN
cana-4843	123	10	≥	≥	NUM
cana-4843	123	11	τ	τ	PROPN
cana-4843	123	12	0	0	NUM
cana-4843	123	13	𝑖𝑓	𝑖𝑓	PRON
cana-4843	123	14	�	�	PROPN
cana-4843	123	15	̂	̂	PROPN
cana-4843	123	16	�	�	PROPN
cana-4843	123	17	<	<	X
cana-4843	123	18	τ	τ	X
cana-4843	123	19	(	(	PUNCT
cana-4843	123	20	8)	8)	NUM
cana-4843	123	21	step	step	NOUN
cana-4843	123	22	4	4	NUM
cana-4843	123	23	:	:	PUNCT
cana-4843	123	24	loss	loss	NOUN
cana-4843	123	25	function	function	NOUN
cana-4843	123	26	(	(	PUNCT
cana-4843	123	27	log	log	NOUN
cana-4843	123	28	-	-	PUNCT
cana-4843	123	29	loss	loss	NOUN
cana-4843	123	30	or	or	CCONJ
cana-4843	123	31	binary	binary	NOUN
cana-4843	123	32	cross	cross	NOUN
cana-4843	123	33	-	-	NOUN
cana-4843	123	34	entropy	entropy	ADJ
cana-4843	123	35	):	):	PUNCT
cana-4843	123	36	to	to	PART
cana-4843	123	37	optimize	optimize	VERB
cana-4843	123	38	the	the	DET
cana-4843	123	39	logistic	logistic	ADJ
cana-4843	123	40	regression	regression	NOUN
cana-4843	123	41	model	model	NOUN
cana-4843	123	42	,	,	PUNCT
cana-4843	123	43	the	the	DET
cana-4843	123	44	log	log	NOUN
cana-4843	123	45	-	-	PUNCT
cana-4843	123	46	loss	loss	NOUN
cana-4843	123	47	(	(	PUNCT
cana-4843	123	48	or	or	CCONJ
cana-4843	123	49	binary	binary	ADJ
cana-4843	123	50	cross	cross	NOUN
cana-4843	123	51	-	-	NOUN
cana-4843	123	52	entropy	entropy	NOUN
cana-4843	123	53	)	)	PUNCT
cana-4843	123	54	is	be	AUX
cana-4843	123	55	used	use	VERB
cana-4843	123	56	as	as	ADP
cana-4843	123	57	the	the	DET
cana-4843	123	58	cost	cost	NOUN
cana-4843	123	59	function	function	NOUN
cana-4843	123	60	:	:	PUNCT
cana-4843	124	1	j(w	j(w	PROPN
cana-4843	124	2	,	,	PUNCT
cana-4843	124	3	b	b	NOUN
cana-4843	124	4	)	)	PUNCT
cana-4843	124	5	=	=	SYM
cana-4843	125	1	−	−	PROPN
cana-4843	125	2	1	1	NUM
cana-4843	125	3	m	m	PROPN
cana-4843	125	4	∑[y(i	∑[y(i	PROPN
cana-4843	125	5	)	)	PUNCT
cana-4843	125	6	log(ŷ(i	log(ŷ(i	PROPN
cana-4843	125	7	)	)	PUNCT
cana-4843	125	8	)	)	PUNCT
cana-4843	126	1	+	+	CCONJ
cana-4843	126	2	(	(	PUNCT
cana-4843	126	3	1	1	NUM
cana-4843	126	4	−	−	NOUN
cana-4843	126	5	y(i))log	y(i))log	NUM
cana-4843	127	1	(	(	PUNCT
cana-4843	127	2	1	1	NUM
cana-4843	127	3	−	−	PROPN
cana-4843	127	4	m	m	VERB
cana-4843	127	5	i=1	i=1	PROPN
cana-4843	127	6	ŷ(i	ŷ(i	NOUN
cana-4843	127	7	)	)	PUNCT
cana-4843	127	8	)	)	PUNCT
cana-4843	127	9	]	]	PUNCT
cana-4843	128	1	(	(	PUNCT
cana-4843	128	2	9	9	NUM
cana-4843	128	3	)	)	PUNCT
cana-4843	128	4	here	here	ADV
cana-4843	128	5	,	,	PUNCT
cana-4843	128	6	m	m	VERB
cana-4843	128	7	is	be	AUX
cana-4843	128	8	the	the	DET
cana-4843	128	9	number	number	NOUN
cana-4843	128	10	of	of	ADP
cana-4843	128	11	training	training	NOUN
cana-4843	128	12	examples	example	NOUN
cana-4843	128	13	,	,	PUNCT
cana-4843	128	14	y(i	y(i	PROPN
cana-4843	128	15	)	)	PUNCT
cana-4843	128	16	is	be	AUX
cana-4843	128	17	the	the	DET
cana-4843	128	18	actual	actual	ADJ
cana-4843	128	19	label	label	NOUN
cana-4843	128	20	,	,	PUNCT
cana-4843	128	21	and	and	CCONJ
cana-4843	128	22	ŷ(i	ŷ(i	PRON
cana-4843	128	23	)	)	PUNCT
cana-4843	128	24	is	be	AUX
cana-4843	128	25	the	the	DET
cana-4843	128	26	predicted	predict	VERB
cana-4843	128	27	probability	probability	NOUN
cana-4843	128	28	for	for	ADP
cana-4843	128	29	the	the	DET
cana-4843	128	30	i	i	PROPN
cana-4843	128	31	-	-	PUNCT
cana-4843	128	32	th	th	X
cana-4843	128	33	instance	instance	NOUN
cana-4843	128	34	.	.	PUNCT
cana-4843	129	1	step	step	NOUN
cana-4843	129	2	5	5	NUM
cana-4843	129	3	:	:	PUNCT
cana-4843	129	4	parameter	parameter	NOUN
cana-4843	129	5	update	update	NOUN
cana-4843	129	6	(	(	PUNCT
cana-4843	129	7	gradient	gradient	ADJ
cana-4843	129	8	descent	descent	NOUN
cana-4843	129	9	):	):	PUNCT
cana-4843	129	10	the	the	DET
cana-4843	129	11	model	model	NOUN
cana-4843	129	12	parameters	parameter	NOUN
cana-4843	129	13	𝑤	𝑤	PROPN
cana-4843	129	14	and	and	CCONJ
cana-4843	129	15	𝑏	𝑏	PROPN
cana-4843	129	16	are	be	AUX
cana-4843	129	17	updated	update	VERB
cana-4843	129	18	using	use	VERB
cana-4843	129	19	gradient	gradient	ADJ
cana-4843	129	20	descent	descent	NOUN
cana-4843	129	21	to	to	PART
cana-4843	129	22	minimize	minimize	VERB
cana-4843	129	23	the	the	DET
cana-4843	129	24	loss	loss	NOUN
cana-4843	129	25	function	function	NOUN
cana-4843	129	26	:	:	PUNCT
cana-4843	130	1	w	w	NOUN
cana-4843	130	2	∶=	∶=	NUM
cana-4843	130	3	w−∝	w−∝	ADP
cana-4843	130	4	∂j	∂j	PROPN
cana-4843	130	5	∂w	∂w	PROPN
cana-4843	130	6	(	(	PUNCT
cana-4843	130	7	10	10	NUM
cana-4843	130	8	)	)	PUNCT
cana-4843	130	9	b	b	NOUN
cana-4843	130	10	∶=	∶=	NUM
cana-4843	130	11	b−∝	b−∝	NUM
cana-4843	130	12	∂j	∂j	PROPN
cana-4843	130	13	∂b	∂b	PROPN
cana-4843	130	14	(	(	PUNCT
cana-4843	130	15	11	11	NUM
cana-4843	130	16	)	)	PUNCT
cana-4843	130	17	where	where	SCONJ
cana-4843	130	18	α	α	NOUN
cana-4843	130	19	is	be	AUX
cana-4843	130	20	the	the	DET
cana-4843	130	21	learning	learning	NOUN
cana-4843	130	22	rate	rate	NOUN
cana-4843	130	23	,	,	PUNCT
cana-4843	130	24	and	and	CCONJ
cana-4843	130	25	∂j	∂j	PROPN
cana-4843	130	26	∂w	∂w	PROPN
cana-4843	130	27	and	and	CCONJ
cana-4843	130	28	∂j	∂j	PROPN
cana-4843	130	29	∂b	∂b	PROPN
cana-4843	130	30	are	be	AUX
cana-4843	130	31	the	the	DET
cana-4843	130	32	gradients	gradient	NOUN
cana-4843	130	33	of	of	ADP
cana-4843	130	34	the	the	DET
cana-4843	130	35	loss	loss	NOUN
cana-4843	130	36	function	function	NOUN
cana-4843	130	37	with	with	ADP
cana-4843	130	38	respect	respect	NOUN
cana-4843	130	39	to	to	ADP
cana-4843	130	40	w	w	PROPN
cana-4843	130	41	and	and	CCONJ
cana-4843	130	42	b	b	NOUN
cana-4843	130	43	,	,	PUNCT
cana-4843	130	44	respectively	respectively	ADV
cana-4843	130	45	.	.	PUNCT
cana-4843	131	1	by	by	ADP
cana-4843	131	2	applying	apply	VERB
cana-4843	131	3	these	these	DET
cana-4843	131	4	equations	equation	NOUN
cana-4843	131	5	to	to	PART
cana-4843	131	6	features	feature	NOUN
cana-4843	131	7	derived	derive	VERB
cana-4843	131	8	from	from	ADP
cana-4843	131	9	the	the	DET
cana-4843	131	10	cira	cira	PROPN
cana-4843	131	11	-	-	PUNCT
cana-4843	131	12	cic	cic	PROPN
cana-4843	131	13	-	-	PUNCT
cana-4843	131	14	dohbrw-2020	dohbrw-2020	VERB
cana-4843	131	15	dataset	dataset	NOUN
cana-4843	131	16	,	,	PUNCT
cana-4843	131	17	logistic	logistic	ADJ
cana-4843	131	18	regression	regression	NOUN
cana-4843	131	19	can	can	AUX
cana-4843	131	20	be	be	AUX
cana-4843	131	21	used	use	VERB
cana-4843	131	22	to	to	PART
cana-4843	131	23	distinguish	distinguish	VERB
cana-4843	131	24	between	between	ADP
cana-4843	131	25	normal	normal	ADJ
cana-4843	131	26	and	and	CCONJ
cana-4843	131	27	malicious	malicious	ADJ
cana-4843	131	28	network	network	NOUN
cana-4843	131	29	behaviors	behavior	NOUN
cana-4843	131	30	.	.	PUNCT
cana-4843	132	1	communications	communication	NOUN
cana-4843	132	2	on	on	ADP
cana-4843	132	3	applied	apply	VERB
cana-4843	132	4	nonlinear	nonlinear	ADJ
cana-4843	132	5	analysis	analysis	NOUN
cana-4843	132	6	issn	issn	NOUN
cana-4843	132	7	:	:	PUNCT
cana-4843	132	8	1074	1074	NUM
cana-4843	132	9	-	-	PUNCT
cana-4843	132	10	133x	133x	NUM
cana-4843	132	11	vol	vol	VERB
cana-4843	132	12	32	32	NUM
cana-4843	132	13	no	no	NOUN
cana-4843	132	14	.	.	PUNCT
cana-4843	133	1	10s	10	NOUN
cana-4843	133	2	(	(	PUNCT
cana-4843	133	3	2025	2025	NUM
cana-4843	133	4	)	)	PUNCT
cana-4843	133	5	497	497	NUM
cana-4843	133	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-4843	133	7	iv	iv	NOUN
cana-4843	133	8	.	.	PUNCT
cana-4843	133	9	random	random	ADJ
cana-4843	133	10	forest	forest	NOUN
cana-4843	133	11	(	(	PUNCT
cana-4843	133	12	rf	rf	NOUN
cana-4843	133	13	)	)	PUNCT
cana-4843	133	14	in	in	ADP
cana-4843	133	15	this	this	DET
cana-4843	133	16	context	context	NOUN
cana-4843	133	17	,	,	PUNCT
cana-4843	133	18	another	another	DET
cana-4843	133	19	rf	rf	NOUN
cana-4843	133	20	algorithm	algorithm	NOUN
cana-4843	133	21	is	be	AUX
cana-4843	133	22	model	model	NOUN
cana-4843	133	23	that	that	PRON
cana-4843	133	24	leverages	leverage	VERB
cana-4843	133	25	the	the	DET
cana-4843	133	26	strengths	strength	NOUN
cana-4843	133	27	of	of	ADP
cana-4843	133	28	both	both	DET
cana-4843	133	29	algorithms	algorithm	NOUN
cana-4843	133	30	to	to	PART
cana-4843	133	31	improve	improve	VERB
cana-4843	133	32	detection	detection	NOUN
cana-4843	133	33	accuracy	accuracy	NOUN
cana-4843	133	34	.	.	PUNCT
cana-4843	134	1	random	random	ADJ
cana-4843	134	2	forest	forest	NOUN
cana-4843	134	3	,	,	PUNCT
cana-4843	134	4	a	a	DET
cana-4843	134	5	robust	robust	ADJ
cana-4843	134	6	ensemble	ensemble	ADJ
cana-4843	134	7	learning	learning	NOUN
cana-4843	134	8	method	method	NOUN
cana-4843	134	9	,	,	PUNCT
cana-4843	134	10	complements	complement	NOUN
cana-4843	134	11	knn	knn	VERB
cana-4843	134	12	by	by	ADP
cana-4843	134	13	aggregating	aggregate	VERB
cana-4843	134	14	the	the	DET
cana-4843	134	15	decisions	decision	NOUN
cana-4843	134	16	from	from	ADP
cana-4843	134	17	multiple	multiple	ADJ
cana-4843	134	18	decision	decision	NOUN
cana-4843	134	19	trees	tree	NOUN
cana-4843	134	20	,	,	PUNCT
cana-4843	134	21	thereby	thereby	ADV
cana-4843	134	22	reducing	reduce	VERB
cana-4843	134	23	overfitting	overfitte	VERB
cana-4843	134	24	and	and	CCONJ
cana-4843	134	25	enhancing	enhance	VERB
cana-4843	134	26	generalizability	generalizability	NOUN
cana-4843	134	27	.	.	PUNCT
cana-4843	135	1	the	the	DET
cana-4843	135	2	rf	rf	NOUN
cana-4843	135	3	is	be	AUX
cana-4843	135	4	used	use	VERB
cana-4843	135	5	as	as	ADP
cana-4843	135	6	feature	feature	NOUN
cana-4843	135	7	extraction	extraction	NOUN
cana-4843	135	8	technique	technique	NOUN
cana-4843	135	9	that	that	PRON
cana-4843	135	10	obtaines	obtain	VERB
cana-4843	135	11	the	the	DET
cana-4843	135	12	significant	significant	ADJ
cana-4843	135	13	attack	attack	NOUN
cana-4843	135	14	patterns	pattern	NOUN
cana-4843	135	15	which	which	PRON
cana-4843	135	16	is	be	AUX
cana-4843	135	17	also	also	ADV
cana-4843	135	18	called	call	VERB
cana-4843	135	19	features	feature	NOUN
cana-4843	135	20	shows	show	VERB
cana-4843	135	21	the	the	DET
cana-4843	135	22	both	both	CCONJ
cana-4843	135	23	accurate	accurate	ADJ
cana-4843	135	24	and	and	CCONJ
cana-4843	135	25	resilient	resilient	ADJ
cana-4843	135	26	to	to	ADP
cana-4843	135	27	various	various	ADJ
cana-4843	135	28	attack	attack	NOUN
cana-4843	135	29	patterns	pattern	NOUN
cana-4843	135	30	.	.	PUNCT
cana-4843	136	1	this	this	DET
cana-4843	136	2	approach	approach	NOUN
cana-4843	136	3	offers	offer	VERB
cana-4843	136	4	a	a	DET
cana-4843	136	5	promising	promising	ADJ
cana-4843	136	6	solution	solution	NOUN
cana-4843	136	7	for	for	ADP
cana-4843	136	8	real	real	ADJ
cana-4843	136	9	-	-	PUNCT
cana-4843	136	10	time	time	NOUN
cana-4843	136	11	,	,	PUNCT
cana-4843	136	12	accurate	accurate	ADJ
cana-4843	136	13	classification	classification	NOUN
cana-4843	136	14	of	of	ADP
cana-4843	136	15	cyber	cyber	ADJ
cana-4843	136	16	attacks	attack	NOUN
cana-4843	136	17	in	in	ADP
cana-4843	136	18	encrypted	encrypt	VERB
cana-4843	136	19	traffic	traffic	NOUN
cana-4843	136	20	,	,	PUNCT
cana-4843	136	21	thereby	thereby	ADV
cana-4843	136	22	enhancing	enhance	VERB
cana-4843	136	23	the	the	DET
cana-4843	136	24	security	security	NOUN
cana-4843	136	25	of	of	ADP
cana-4843	136	26	networks	network	NOUN
cana-4843	136	27	against	against	ADP
cana-4843	136	28	sophisticated	sophisticated	ADJ
cana-4843	136	29	threats	threat	NOUN
cana-4843	136	30	in	in	ADP
cana-4843	136	31	the	the	DET
cana-4843	136	32	doh	doh	PROPN
cana-4843	136	33	environment	environment	PROPN
cana-4843	136	34	.	.	PUNCT
cana-4843	137	1	in	in	ADP
cana-4843	137	2	the	the	DET
cana-4843	137	3	following	follow	VERB
cana-4843	137	4	sections	section	NOUN
cana-4843	137	5	,	,	PUNCT
cana-4843	137	6	we	we	PRON
cana-4843	137	7	discuss	discuss	VERB
cana-4843	137	8	the	the	DET
cana-4843	137	9	methodology	methodology	NOUN
cana-4843	137	10	,	,	PUNCT
cana-4843	137	11	implementation	implementation	NOUN
cana-4843	137	12	,	,	PUNCT
cana-4843	137	13	and	and	CCONJ
cana-4843	137	14	results	result	NOUN
cana-4843	137	15	of	of	ADP
cana-4843	137	16	applying	apply	VERB
cana-4843	137	17	this	this	DET
cana-4843	137	18	combined	combine	VERB
cana-4843	137	19	approach	approach	NOUN
cana-4843	137	20	to	to	ADP
cana-4843	137	21	the	the	DET
cana-4843	137	22	cira	cira	PROPN
cana-4843	137	23	-	-	PUNCT
cana-4843	137	24	cic	cic	PROPN
cana-4843	137	25	-	-	PUNCT
cana-4843	137	26	dohbrw-2020	dohbrw-2020	VERB
cana-4843	137	27	dataset	dataset	NOUN
cana-4843	137	28	.	.	PUNCT
cana-4843	138	1	rf	rf	PRON
cana-4843	138	2	uses	use	VERB
cana-4843	138	3	an	an	DET
cana-4843	138	4	ensemble	ensemble	NOUN
cana-4843	138	5	of	of	ADP
cana-4843	138	6	decision	decision	NOUN
cana-4843	138	7	trees	tree	NOUN
cana-4843	138	8	for	for	ADP
cana-4843	138	9	classification	classification	NOUN
cana-4843	138	10	,	,	PUNCT
cana-4843	138	11	where	where	SCONJ
cana-4843	138	12	each	each	DET
cana-4843	138	13	tree	tree	NOUN
cana-4843	138	14	contributes	contribute	VERB
cana-4843	138	15	a	a	DET
cana-4843	138	16	“	"	PUNCT
cana-4843	138	17	vote	vote	NOUN
cana-4843	138	18	”	"	PUNCT
cana-4843	138	19	to	to	ADP
cana-4843	138	20	the	the	DET
cana-4843	138	21	final	final	ADJ
cana-4843	138	22	prediction	prediction	NOUN
cana-4843	138	23	.	.	PUNCT
cana-4843	139	1	1	1	X
cana-4843	139	2	.	.	X
cana-4843	139	3	prediction	prediction	NOUN
cana-4843	139	4	from	from	ADP
cana-4843	139	5	each	each	DET
cana-4843	139	6	tree	tree	NOUN
cana-4843	139	7	:	:	PUNCT
cana-4843	139	8	given	give	VERB
cana-4843	139	9	m	m	NOUN
cana-4843	139	10	trees	tree	NOUN
cana-4843	139	11	,	,	PUNCT
cana-4843	139	12	each	each	DET
cana-4843	139	13	tree	tree	NOUN
cana-4843	139	14	tm	tm	NOUN
cana-4843	139	15	(	(	PUNCT
cana-4843	139	16	where	where	SCONJ
cana-4843	139	17	m=1	m=1	PROPN
cana-4843	139	18	,	,	PUNCT
cana-4843	139	19	2	2	NUM
cana-4843	139	20	,	,	PUNCT
cana-4843	139	21	…	…	PUNCT
cana-4843	139	22	.	.	NUM
cana-4843	139	23	,	,	PUNCT
cana-4843	139	24	m	m	PROPN
cana-4843	139	25	)	)	PUNCT
cana-4843	139	26	predicts	predict	VERB
cana-4843	139	27	a	a	DET
cana-4843	139	28	class	class	NOUN
cana-4843	139	29	label	label	NOUN
cana-4843	139	30	ŷm	ŷm	NOUN
cana-4843	139	31	.	.	PUNCT
cana-4843	140	1	each	each	DET
cana-4843	140	2	tm	tm	PROPN
cana-4843	140	3	is	be	AUX
cana-4843	140	4	trained	train	VERB
cana-4843	140	5	on	on	ADP
cana-4843	140	6	a	a	DET
cana-4843	140	7	bootstrapped	bootstrapped	NOUN
cana-4843	140	8	subset	subset	NOUN
cana-4843	140	9	of	of	ADP
cana-4843	140	10	the	the	DET
cana-4843	140	11	data	datum	NOUN
cana-4843	140	12	.	.	PUNCT
cana-4843	141	1	2	2	X
cana-4843	141	2	.	.	X
cana-4843	141	3	majority	majority	NOUN
cana-4843	141	4	voting	voting	NOUN
cana-4843	141	5	:	:	PUNCT
cana-4843	141	6	the	the	DET
cana-4843	141	7	final	final	ADJ
cana-4843	141	8	class	class	NOUN
cana-4843	141	9	prediction	prediction	NOUN
cana-4843	141	10	ŷ	ŷ	NUM
cana-4843	141	11	for	for	ADP
cana-4843	141	12	a	a	DET
cana-4843	141	13	given	give	VERB
cana-4843	141	14	sample	sample	NOUN
cana-4843	141	15	x	x	VERB
cana-4843	141	16	is	be	AUX
cana-4843	141	17	determined	determine	VERB
cana-4843	141	18	by	by	ADP
cana-4843	141	19	majority	majority	NOUN
cana-4843	141	20	voting	voting	NOUN
cana-4843	141	21	across	across	ADP
cana-4843	141	22	all	all	DET
cana-4843	141	23	m	m	NOUN
cana-4843	141	24	trees	tree	NOUN
cana-4843	141	25	.	.	PUNCT
cana-4843	142	1	ŷ	ŷ	NUM
cana-4843	143	1	=	=	SYM
cana-4843	143	2	𝑚𝑜𝑑𝑒{ŷ1	𝑚𝑜𝑑𝑒{ŷ1	PROPN
cana-4843	143	3	,	,	PUNCT
cana-4843	143	4	ŷ2	ŷ2	PROPN
cana-4843	143	5	,	,	PUNCT
cana-4843	143	6	…	…	PUNCT
cana-4843	143	7	.	.	PUNCT
cana-4843	144	1	,	,	PUNCT
cana-4843	144	2	,	,	PUNCT
cana-4843	144	3	ŷm	ŷm	X
cana-4843	144	4	}	}	PUNCT
cana-4843	144	5	(	(	PUNCT
cana-4843	144	6	12	12	NUM
cana-4843	144	7	)	)	PUNCT
cana-4843	144	8	4	4	NUM
cana-4843	144	9	.	.	NOUN
cana-4843	144	10	results	result	NOUN
cana-4843	144	11	and	and	CCONJ
cana-4843	144	12	discussions	discussion	NOUN
cana-4843	144	13	in	in	ADP
cana-4843	144	14	this	this	DET
cana-4843	144	15	section	section	NOUN
cana-4843	144	16	the	the	DET
cana-4843	144	17	feature	feature	NOUN
cana-4843	144	18	selection	selection	NOUN
cana-4843	144	19	methods	method	NOUN
cana-4843	144	20	principle	principle	PROPN
cana-4843	144	21	component	component	NOUN
cana-4843	144	22	analysis(pca	analysis(pca	PROPN
cana-4843	144	23	)	)	PUNCT
cana-4843	144	24	,	,	PUNCT
cana-4843	144	25	linear	linear	NOUN
cana-4843	144	26	regression(lr	regression(lr	ADJ
cana-4843	144	27	)	)	PUNCT
cana-4843	144	28	,	,	PUNCT
cana-4843	144	29	lasso	lasso	NOUN
cana-4843	144	30	regression(lor	regression(lor	NOUN
cana-4843	144	31	)	)	PUNCT
cana-4843	144	32	,	,	PUNCT
cana-4843	144	33	random	random	ADJ
cana-4843	144	34	forest(rf	forest(rf	NOUN
cana-4843	144	35	)	)	PUNCT
cana-4843	144	36	are	be	AUX
cana-4843	144	37	evaluated	evaluate	VERB
cana-4843	144	38	through	through	ADP
cana-4843	144	39	k	k	PROPN
cana-4843	144	40	-	-	PUNCT
cana-4843	144	41	nn	nn	ADJ
cana-4843	144	42	classification	classification	NOUN
cana-4843	144	43	with	with	ADP
cana-4843	144	44	adoption	adoption	NOUN
cana-4843	144	45	of	of	ADP
cana-4843	144	46	cira	cira	PROPN
cana-4843	144	47	-	-	PUNCT
cana-4843	144	48	cic	cic	PROPN
cana-4843	144	49	-	-	PUNCT
cana-4843	144	50	dohbrw-2020	dohbrw-2020	VERB
cana-4843	144	51	dataset	dataset	NOUN
cana-4843	144	52	.	.	PUNCT
cana-4843	145	1	the	the	DET
cana-4843	145	2	dataset	dataset	NOUN
cana-4843	145	3	contains	contain	VERB
cana-4843	145	4	two	two	NUM
cana-4843	145	5	types	type	NOUN
cana-4843	145	6	of	of	ADP
cana-4843	145	7	dns	dns	NOUN
cana-4843	145	8	over	over	ADP
cana-4843	145	9	https	https	NOUN
cana-4843	145	10	traffic	traffic	NOUN
cana-4843	145	11	,	,	PUNCT
cana-4843	145	12	they	they	PRON
cana-4843	145	13	are	be	AUX
cana-4843	145	14	doh	doh	ADJ
cana-4843	145	15	,	,	PUNCT
cana-4843	145	16	and	and	CCONJ
cana-4843	145	17	non	non	PROPN
cana-4843	145	18	doh	doh	PROPN
cana-4843	145	19	traffic	traffic	PROPN
cana-4843	145	20	.	.	PUNCT
cana-4843	146	1	the	the	DET
cana-4843	146	2	doh	doh	PROPN
cana-4843	146	3	traffic	traffic	NOUN
cana-4843	146	4	includes	include	VERB
cana-4843	146	5	malicious	malicious	ADJ
cana-4843	146	6	and	and	CCONJ
cana-4843	146	7	benigin	benigin	NOUN
cana-4843	146	8	traffics	traffic	NOUN
cana-4843	146	9	.	.	PUNCT
cana-4843	147	1	the	the	DET
cana-4843	147	2	k	k	PROPN
cana-4843	147	3	-	-	PUNCT
cana-4843	147	4	nn	nn	ADJ
cana-4843	147	5	classification	classification	NOUN
cana-4843	147	6	algorithm	algorithm	NOUN
cana-4843	147	7	is	be	AUX
cana-4843	147	8	adopted	adopt	VERB
cana-4843	147	9	for	for	ADP
cana-4843	147	10	classification	classification	NOUN
cana-4843	147	11	evolutionary	evolutionary	ADJ
cana-4843	147	12	process	process	NOUN
cana-4843	147	13	.	.	PUNCT
cana-4843	148	1	the	the	DET
cana-4843	148	2	classification	classification	NOUN
cana-4843	148	3	process	process	NOUN
cana-4843	148	4	divided	divide	VERB
cana-4843	148	5	into	into	ADP
cana-4843	148	6	two	two	NUM
cana-4843	148	7	models	model	NOUN
cana-4843	148	8	i.e.	i.e.	X
cana-4843	148	9	doh	doh	PROPN
cana-4843	148	10	and	and	CCONJ
cana-4843	148	11	non	non	ADJ
cana-4843	148	12	-	-	ADJ
cana-4843	148	13	doh	doh	ADJ
cana-4843	148	14	(	(	PUNCT
cana-4843	148	15	model	model	NOUN
cana-4843	148	16	1	1	NUM
cana-4843	148	17	)	)	PUNCT
cana-4843	148	18	,	,	PUNCT
cana-4843	148	19	and	and	CCONJ
cana-4843	148	20	the	the	DET
cana-4843	148	21	doh	doh	PROPN
cana-4843	148	22	traffic	traffic	NOUN
cana-4843	148	23	classified	classify	VERB
cana-4843	148	24	into	into	ADP
cana-4843	148	25	malicious	malicious	ADJ
cana-4843	148	26	and	and	CCONJ
cana-4843	148	27	benigin	benigin	NOUN
cana-4843	148	28	(	(	PUNCT
cana-4843	148	29	model	model	NOUN
cana-4843	148	30	2	2	NUM
cana-4843	148	31	)	)	PUNCT
cana-4843	148	32	.	.	PUNCT
cana-4843	149	1	the	the	DET
cana-4843	149	2	performance	performance	NOUN
cana-4843	149	3	metrics	metric	NOUN
cana-4843	149	4	are	be	AUX
cana-4843	149	5	presented	present	VERB
cana-4843	149	6	below	below	ADP
cana-4843	149	7	for	for	ADP
cana-4843	149	8	four	four	NUM
cana-4843	149	9	feature	feature	NOUN
cana-4843	149	10	selection	selection	NOUN
cana-4843	149	11	methods	method	NOUN
cana-4843	149	12	of	of	ADP
cana-4843	149	13	two	two	NUM
cana-4843	149	14	models	model	NOUN
cana-4843	149	15	.	.	PUNCT
cana-4843	150	1	i.	i.	PROPN
cana-4843	150	2	pca	pca	PROPN
cana-4843	150	3	index	index	PROPN
cana-4843	150	4	based	base	VERB
cana-4843	150	5	feature	feature	NOUN
cana-4843	150	6	selection	selection	NOUN
cana-4843	150	7	the	the	DET
cana-4843	150	8	feature	feature	NOUN
cana-4843	150	9	subsets	subset	NOUN
cana-4843	150	10	are	be	AUX
cana-4843	150	11	obtained	obtain	VERB
cana-4843	150	12	based	base	VERB
cana-4843	150	13	on	on	ADP
cana-4843	150	14	eigen	eigen	PROPN
cana-4843	150	15	values	value	NOUN
cana-4843	150	16	and	and	CCONJ
cana-4843	150	17	eigenvectors	eigenvector	NOUN
cana-4843	150	18	of	of	ADP
cana-4843	150	19	the	the	DET
cana-4843	150	20	covariance	covariance	NOUN
cana-4843	150	21	matrix	matrix	NOUN
cana-4843	150	22	.	.	PUNCT
cana-4843	151	1	the	the	DET
cana-4843	151	2	eigenvectors	eigenvector	NOUN
cana-4843	151	3	are	be	AUX
cana-4843	151	4	directions	direction	NOUN
cana-4843	151	5	(	(	PUNCT
cana-4843	151	6	axes	axis	NOUN
cana-4843	151	7	)	)	PUNCT
cana-4843	151	8	in	in	ADP
cana-4843	151	9	which	which	PRON
cana-4843	151	10	data	datum	NOUN
cana-4843	151	11	varies	vary	VERB
cana-4843	151	12	under	under	ADP
cana-4843	151	13	pca	pca	PROPN
cana-4843	151	14	,	,	PUNCT
cana-4843	151	15	and	and	CCONJ
cana-4843	151	16	the	the	DET
cana-4843	151	17	eigen	eigen	PROPN
cana-4843	151	18	values	value	NOUN
cana-4843	151	19	tell	tell	VERB
cana-4843	151	20	how	how	SCONJ
cana-4843	151	21	much	much	ADJ
cana-4843	151	22	variation	variation	NOUN
cana-4843	151	23	is	be	AUX
cana-4843	151	24	there	there	ADV
cana-4843	151	25	along	along	ADP
cana-4843	151	26	them	they	PRON
cana-4843	151	27	.	.	PUNCT
cana-4843	152	1	eigen	eigen	PROPN
cana-4843	152	2	values	value	NOUN
cana-4843	152	3	are	be	AUX
cana-4843	152	4	arranged	arrange	VERB
cana-4843	152	5	in	in	ADP
cana-4843	152	6	descending	descend	VERB
cana-4843	152	7	order	order	NOUN
cana-4843	152	8	.	.	PUNCT
cana-4843	153	1	the	the	DET
cana-4843	153	2	first	first	ADJ
cana-4843	153	3	principal	principal	ADJ
cana-4843	153	4	component	component	NOUN
cana-4843	153	5	(	(	PUNCT
cana-4843	153	6	pc1	pc1	PROPN
cana-4843	153	7	)	)	PUNCT
cana-4843	153	8	,	,	PUNCT
cana-4843	153	9	which	which	PRON
cana-4843	153	10	explains	explain	VERB
cana-4843	153	11	most	most	ADJ
cana-4843	153	12	variance	variance	NOUN
cana-4843	153	13	in	in	ADP
cana-4843	153	14	the	the	DET
cana-4843	153	15	data	datum	NOUN
cana-4843	153	16	,	,	PUNCT
cana-4843	153	17	is	be	AUX
cana-4843	153	18	the	the	DET
cana-4843	153	19	eigenvector	eigenvector	NOUN
cana-4843	153	20	corresponding	correspond	VERB
cana-4843	153	21	to	to	ADP
cana-4843	153	22	the	the	DET
cana-4843	153	23	largest	large	ADJ
cana-4843	153	24	eigen	eigen	NOUN
cana-4843	153	25	value	value	NOUN
cana-4843	153	26	.	.	PUNCT
cana-4843	154	1	a	a	DET
cana-4843	154	2	subset	subset	NOUN
cana-4843	154	3	k	k	NOUN
cana-4843	154	4	of	of	ADP
cana-4843	154	5	principal	principal	ADJ
cana-4843	154	6	components	component	NOUN
cana-4843	154	7	is	be	AUX
cana-4843	154	8	selected	select	VERB
cana-4843	154	9	based	base	VERB
cana-4843	154	10	on	on	ADP
cana-4843	154	11	the	the	DET
cana-4843	154	12	explained	explain	VERB
cana-4843	154	13	variance	variance	NOUN
cana-4843	154	14	ratio	ratio	NOUN
cana-4843	154	15	(	(	PUNCT
cana-4843	154	16	sum	sum	NOUN
cana-4843	154	17	of	of	ADP
cana-4843	154	18	eigen	eigen	PROPN
cana-4843	154	19	values	value	NOUN
cana-4843	154	20	of	of	ADP
cana-4843	154	21	selected	select	VERB
cana-4843	154	22	components	component	NOUN
cana-4843	154	23	/	/	SYM
cana-4843	154	24	total	total	ADJ
cana-4843	154	25	eigen	eigen	PROPN
cana-4843	154	26	values	value	NOUN
cana-4843	154	27	)	)	PUNCT
cana-4843	154	28	.	.	PUNCT
cana-4843	155	1	it	it	PRON
cana-4843	155	2	establishes	establish	VERB
cana-4843	155	3	the	the	DET
cana-4843	155	4	dimensionality	dimensionality	NOUN
cana-4843	155	5	of	of	ADP
cana-4843	155	6	the	the	DET
cana-4843	155	7	condensed	condense	VERB
cana-4843	155	8	feature	feature	NOUN
cana-4843	155	9	space	space	NOUN
cana-4843	155	10	.	.	PUNCT
cana-4843	156	1	the	the	DET
cana-4843	156	2	other	other	ADJ
cana-4843	156	3	features	feature	NOUN
cana-4843	156	4	with	with	ADP
cana-4843	156	5	numbers	number	NOUN
cana-4843	156	6	10,15,20,25,30	10,15,20,25,30	PROPN
cana-4843	156	7	,	,	PUNCT
cana-4843	156	8	16,18,21,22,24	16,18,21,22,24	NUM
cana-4843	156	9	and	and	CCONJ
cana-4843	156	10	13,15,16,17,18	13,15,16,17,18	NUM
cana-4843	156	11	are	be	AUX
cana-4843	156	12	coefficients	coefficient	NOUN
cana-4843	156	13	(	(	PUNCT
cana-4843	156	14	from	from	ADP
cana-4843	156	15	eigenvectors	eigenvector	NOUN
cana-4843	156	16	)	)	PUNCT
cana-4843	156	17	that	that	PRON
cana-4843	156	18	define	define	VERB
cana-4843	156	19	the	the	DET
cana-4843	156	20	contribution	contribution	NOUN
cana-4843	156	21	of	of	ADP
cana-4843	156	22	each	each	DET
cana-4843	156	23	original	original	ADJ
cana-4843	156	24	feature	feature	NOUN
cana-4843	156	25	to	to	ADP
cana-4843	156	26	the	the	DET
cana-4843	156	27	new	new	ADJ
cana-4843	156	28	feature	feature	NOUN
cana-4843	156	29	.	.	PUNCT
cana-4843	157	1	these	these	DET
cana-4843	157	2	three	three	NUM
cana-4843	157	3	feature	feature	NOUN
cana-4843	157	4	subsets	subset	NOUN
cana-4843	157	5	are	be	AUX
cana-4843	157	6	evaluate	evaluate	VERB
cana-4843	157	7	for	for	ADP
cana-4843	157	8	model	model	NOUN
cana-4843	157	9	1	1	NUM
cana-4843	157	10	and	and	CCONJ
cana-4843	157	11	model	model	NOUN
cana-4843	157	12	2	2	NUM
cana-4843	157	13	through	through	ADP
cana-4843	157	14	k	k	PROPN
cana-4843	157	15	-	-	PUNCT
cana-4843	157	16	nn	nn	ADJ
cana-4843	157	17	classification	classification	NOUN
cana-4843	157	18	and	and	CCONJ
cana-4843	157	19	the	the	DET
cana-4843	157	20	results	result	NOUN
cana-4843	157	21	are	be	AUX
cana-4843	157	22	presented	present	VERB
cana-4843	157	23	in	in	ADP
cana-4843	157	24	table	table	NOUN
cana-4843	157	25	2	2	NUM
cana-4843	157	26	as	as	ADV
cana-4843	157	27	well	well	ADV
cana-4843	157	28	as	as	ADP
cana-4843	157	29	graphs	graph	NOUN
cana-4843	157	30	.	.	PUNCT
cana-4843	158	1	communications	communication	NOUN
cana-4843	158	2	on	on	ADP
cana-4843	158	3	applied	apply	VERB
cana-4843	158	4	nonlinear	nonlinear	ADJ
cana-4843	158	5	analysis	analysis	NOUN
cana-4843	158	6	issn	issn	NOUN
cana-4843	158	7	:	:	PUNCT
cana-4843	158	8	1074	1074	NUM
cana-4843	158	9	-	-	PUNCT
cana-4843	158	10	133x	133x	NUM
cana-4843	158	11	vol	vol	VERB
cana-4843	158	12	32	32	NUM
cana-4843	158	13	no	no	NOUN
cana-4843	158	14	.	.	PUNCT
cana-4843	159	1	10s	10	NOUN
cana-4843	159	2	(	(	PUNCT
cana-4843	159	3	2025	2025	NUM
cana-4843	159	4	)	)	PUNCT
cana-4843	159	5	498	498	NUM
cana-4843	159	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	159	7	table	table	NOUN
cana-4843	159	8	2	2	NUM
cana-4843	159	9	:	:	PUNCT
cana-4843	159	10	performance	performance	NOUN
cana-4843	159	11	measures	measure	NOUN
cana-4843	159	12	for	for	ADP
cana-4843	159	13	model	model	NOUN
cana-4843	159	14	1	1	NUM
cana-4843	159	15	features	feature	VERB
cana-4843	159	16	#	#	NOUN
cana-4843	159	17	accuracy	accuracy	NOUN
cana-4843	159	18	precision	precision	NOUN
cana-4843	159	19	recall	recall	NOUN
cana-4843	159	20	f1	f1	PROPN
cana-4843	159	21	roc	roc	PROPN
cana-4843	159	22	auc	auc	PROPN
cana-4843	159	23	10,15	10,15	NUM
cana-4843	159	24	,	,	PUNCT
cana-4843	159	25	0.996	0.996	NUM
cana-4843	159	26	0.99	0.99	NUM
cana-4843	159	27	0.999	0.999	NUM
cana-4843	159	28	0.998	0.998	NUM
cana-4843	159	29	0.984	0.984	NUM
cana-4843	159	30	20,25,30	20,25,30	NUM
cana-4843	159	31	958	958	NUM
cana-4843	159	32	7543	7543	NUM
cana-4843	159	33	179	179	NUM
cana-4843	159	34	360	360	NUM
cana-4843	159	35	0	0	NUM
cana-4843	159	36	16,18	16,18	NUM
cana-4843	159	37	,	,	PUNCT
cana-4843	159	38	0.997	0.997	NUM
cana-4843	159	39	0.99	0.99	NUM
cana-4843	159	40	0.999	0.999	NUM
cana-4843	159	41	0.998	0.998	NUM
cana-4843	159	42	0.986	0.986	NUM
cana-4843	159	43	21,22,24	21,22,24	NUM
cana-4843	159	44	607	607	NUM
cana-4843	159	45	7981	7981	NUM
cana-4843	159	46	439	439	NUM
cana-4843	159	47	709	709	NUM
cana-4843	159	48	986	986	NUM
cana-4843	159	49	13,15	13,15	NUM
cana-4843	159	50	,	,	PUNCT
cana-4843	159	51	0.9	0.9	NUM
cana-4843	159	52	0.99	0.99	NUM
cana-4843	159	53	0.999	0.999	NUM
cana-4843	159	54	0.99	0.99	NUM
cana-4843	159	55	0.986	0.986	NUM
cana-4843	159	56	16,17,18	16,17,18	NUM
cana-4843	159	57	97441	97441	NUM
cana-4843	159	58	7986	7986	NUM
cana-4843	159	59	261	261	NUM
cana-4843	159	60	862	862	NUM
cana-4843	159	61	459	459	NUM
cana-4843	159	62	figure	figure	NOUN
cana-4843	159	63	2	2	NUM
cana-4843	159	64	:	:	PUNCT
cana-4843	159	65	bening	bening	NOUN
cana-4843	159	66	-	-	PUNCT
cana-4843	159	67	malicious	malicious	ADJ
cana-4843	159	68	for	for	ADP
cana-4843	159	69	model1	model1	NOUN
cana-4843	159	70	the	the	DET
cana-4843	159	71	k	k	PROPN
cana-4843	159	72	-	-	PUNCT
cana-4843	159	73	nn	nn	ADJ
cana-4843	159	74	classification	classification	NOUN
cana-4843	159	75	evaluating	evaluating	NOUN
cana-4843	159	76	results	result	NOUN
cana-4843	159	77	for	for	ADP
cana-4843	159	78	various	various	ADJ
cana-4843	159	79	metrics	metric	NOUN
cana-4843	159	80	are	be	AUX
cana-4843	159	81	presented	present	VERB
cana-4843	159	82	below	below	ADP
cana-4843	159	83	with	with	ADP
cana-4843	159	84	discussions	discussion	NOUN
cana-4843	159	85	.	.	PUNCT
cana-4843	160	1	this	this	DET
cana-4843	160	2	figure	figure	NOUN
cana-4843	160	3	shows	show	VERB
cana-4843	160	4	a	a	DET
cana-4843	160	5	comparison	comparison	NOUN
cana-4843	160	6	of	of	ADP
cana-4843	160	7	the	the	DET
cana-4843	160	8	performance	performance	NOUN
cana-4843	160	9	metrics	metric	NOUN
cana-4843	160	10	for	for	ADP
cana-4843	160	11	model-1	model-1	NUM
cana-4843	160	12	based	base	VERB
cana-4843	160	13	on	on	ADP
cana-4843	160	14	different	different	ADJ
cana-4843	160	15	sets	set	NOUN
cana-4843	160	16	of	of	ADP
cana-4843	160	17	features	feature	NOUN
cana-4843	160	18	used	use	VERB
cana-4843	160	19	in	in	ADP
cana-4843	160	20	the	the	DET
cana-4843	160	21	context	context	NOUN
cana-4843	160	22	of	of	ADP
cana-4843	160	23	benign	benign	ADJ
cana-4843	160	24	and	and	CCONJ
cana-4843	160	25	malicious	malicious	ADJ
cana-4843	160	26	classification	classification	NOUN
cana-4843	160	27	with	with	ADP
cana-4843	160	28	pca	pca	PROPN
cana-4843	160	29	(	(	PUNCT
cana-4843	160	30	principal	principal	ADJ
cana-4843	160	31	component	component	NOUN
cana-4843	160	32	analysis	analysis	NOUN
cana-4843	160	33	)	)	PUNCT
cana-4843	160	34	.	.	PUNCT
cana-4843	161	1	from	from	ADP
cana-4843	161	2	the	the	DET
cana-4843	161	3	above	above	ADJ
cana-4843	161	4	observations	observation	NOUN
cana-4843	161	5	on	on	ADP
cana-4843	161	6	performance	performance	NOUN
cana-4843	161	7	metrics	metric	NOUN
cana-4843	161	8	are	be	AUX
cana-4843	161	9	accuracy	accuracy	NOUN
cana-4843	161	10	,	,	PUNCT
cana-4843	161	11	precision	precision	NOUN
cana-4843	161	12	,	,	PUNCT
cana-4843	161	13	recall	recall	NOUN
cana-4843	161	14	,	,	PUNCT
cana-4843	161	15	f1score	f1score	NOUN
cana-4843	161	16	,	,	PUNCT
cana-4843	161	17	and	and	CCONJ
cana-4843	161	18	roc	roc	NOUN
cana-4843	161	19	-	-	PUNCT
cana-4843	161	20	auc	auc	NOUN
cana-4843	161	21	reach	reach	VERB
cana-4843	161	22	nearly	nearly	ADV
cana-4843	161	23	100	100	NUM
cana-4843	161	24	%	%	NOUN
cana-4843	161	25	for	for	ADP
cana-4843	161	26	all	all	DET
cana-4843	161	27	three	three	NUM
cana-4843	161	28	feature	feature	NOUN
cana-4843	161	29	sets	set	NOUN
cana-4843	161	30	.	.	PUNCT
cana-4843	162	1	this	this	PRON
cana-4843	162	2	indicates	indicate	VERB
cana-4843	162	3	that	that	SCONJ
cana-4843	162	4	model-1	model-1	NUM
cana-4843	162	5	performs	perform	VERB
cana-4843	162	6	exceptionally	exceptionally	ADV
cana-4843	162	7	well	well	ADV
cana-4843	162	8	in	in	ADP
cana-4843	162	9	classifying	classify	VERB
cana-4843	162	10	benign	benign	ADJ
cana-4843	162	11	and	and	CCONJ
cana-4843	162	12	malicious	malicious	ADJ
cana-4843	162	13	data	datum	NOUN
cana-4843	162	14	in	in	ADP
cana-4843	162	15	every	every	DET
cana-4843	162	16	feature	feature	NOUN
cana-4843	162	17	context	context	NOUN
cana-4843	162	18	.	.	PUNCT
cana-4843	163	1	there	there	PRON
cana-4843	163	2	is	be	VERB
cana-4843	163	3	minimal	minimal	ADJ
cana-4843	163	4	to	to	ADP
cana-4843	163	5	no	no	DET
cana-4843	163	6	variation	variation	NOUN
cana-4843	163	7	and	and	CCONJ
cana-4843	163	8	exhibits	exhibit	VERB
cana-4843	163	9	consistency	consistency	NOUN
cana-4843	163	10	in	in	ADP
cana-4843	163	11	the	the	DET
cana-4843	163	12	metrics	metric	NOUN
cana-4843	163	13	across	across	ADP
cana-4843	163	14	the	the	DET
cana-4843	163	15	three	three	NUM
cana-4843	163	16	feature	feature	NOUN
cana-4843	163	17	sets	set	NOUN
cana-4843	163	18	.	.	PUNCT
cana-4843	164	1	set-1	set-1	PUNCT
cana-4843	164	2	are	be	AUX
cana-4843	164	3	10	10	NUM
cana-4843	164	4	,	,	PUNCT
cana-4843	164	5	15	15	NUM
cana-4843	164	6	,	,	PUNCT
cana-4843	164	7	20	20	NUM
cana-4843	164	8	,	,	PUNCT
cana-4843	164	9	25	25	NUM
cana-4843	164	10	,	,	PUNCT
cana-4843	164	11	30	30	NUM
cana-4843	164	12	,	,	PUNCT
cana-4843	164	13	set	set	VERB
cana-4843	164	14	-2	-2	INTJ
cana-4843	164	15	are	be	AUX
cana-4843	164	16	16	16	NUM
cana-4843	164	17	,	,	PUNCT
cana-4843	164	18	18	18	NUM
cana-4843	164	19	,	,	PUNCT
cana-4843	164	20	21	21	NUM
cana-4843	164	21	,	,	PUNCT
cana-4843	164	22	22	22	NUM
cana-4843	164	23	,	,	PUNCT
cana-4843	164	24	24	24	NUM
cana-4843	164	25	set-3	set-3	PRON
cana-4843	164	26	are	be	AUX
cana-4843	164	27	13	13	NUM
cana-4843	164	28	,	,	PUNCT
cana-4843	164	29	15	15	NUM
cana-4843	164	30	,	,	PUNCT
cana-4843	164	31	16	16	NUM
cana-4843	164	32	,	,	PUNCT
cana-4843	164	33	17	17	NUM
cana-4843	164	34	,	,	PUNCT
cana-4843	164	35	18	18	NUM
cana-4843	164	36	this	this	PRON
cana-4843	164	37	implies	imply	VERB
cana-4843	164	38	that	that	SCONJ
cana-4843	164	39	the	the	DET
cana-4843	164	40	model	model	NOUN
cana-4843	164	41	's	's	PART
cana-4843	164	42	performance	performance	NOUN
cana-4843	164	43	is	be	AUX
cana-4843	164	44	stable	stable	ADJ
cana-4843	164	45	and	and	CCONJ
cana-4843	164	46	not	not	PART
cana-4843	164	47	significantly	significantly	ADV
cana-4843	164	48	affected	affect	VERB
cana-4843	164	49	by	by	ADP
cana-4843	164	50	changes	change	NOUN
cana-4843	164	51	in	in	ADP
cana-4843	164	52	the	the	DET
cana-4843	164	53	selected	select	VERB
cana-4843	164	54	feature	feature	NOUN
cana-4843	164	55	sets	set	NOUN
cana-4843	164	56	.	.	PUNCT
cana-4843	165	1	communications	communication	NOUN
cana-4843	165	2	on	on	ADP
cana-4843	165	3	applied	apply	VERB
cana-4843	165	4	nonlinear	nonlinear	ADJ
cana-4843	165	5	analysis	analysis	NOUN
cana-4843	165	6	issn	issn	NOUN
cana-4843	165	7	:	:	PUNCT
cana-4843	165	8	1074	1074	NUM
cana-4843	165	9	-	-	PUNCT
cana-4843	165	10	133x	133x	NUM
cana-4843	165	11	vol	vol	VERB
cana-4843	165	12	32	32	NUM
cana-4843	165	13	no	no	NOUN
cana-4843	165	14	.	.	PUNCT
cana-4843	166	1	10s	10	NOUN
cana-4843	166	2	(	(	PUNCT
cana-4843	166	3	2025	2025	NUM
cana-4843	166	4	)	)	PUNCT
cana-4843	166	5	499	499	NUM
cana-4843	166	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	166	7	table	table	NOUN
cana-4843	166	8	3	3	NUM
cana-4843	166	9	:	:	PUNCT
cana-4843	166	10	performance	performance	NOUN
cana-4843	166	11	measures	measure	NOUN
cana-4843	166	12	for	for	ADP
cana-4843	166	13	model-2(b	model-2(b	NOUN
cana-4843	166	14	-	-	PUNCT
cana-4843	166	15	m	m	NOUN
cana-4843	166	16	)	)	PUNCT
cana-4843	166	17	features	feature	VERB
cana-4843	166	18	#	#	NOUN
cana-4843	166	19	accuracy	accuracy	NOUN
cana-4843	166	20	precision	precision	NOUN
cana-4843	166	21	recall	recall	NOUN
cana-4843	166	22	f1	f1	PROPN
cana-4843	166	23	roc	roc	PROPN
cana-4843	166	24	auc	auc	PROPN
cana-4843	166	25	10,15	10,15	NUM
cana-4843	166	26	,	,	PUNCT
cana-4843	166	27	0.997	0.997	NUM
cana-4843	166	28	0.998	0.998	NUM
cana-4843	166	29	0.999	0.999	NUM
cana-4843	166	30	0.998	0.998	NUM
cana-4843	166	31	0.987	0.987	NUM
cana-4843	166	32	20,25,30	20,25,30	NUM
cana-4843	166	33	552	552	NUM
cana-4843	166	34	161	161	NUM
cana-4843	166	35	199	199	NUM
cana-4843	166	36	680	680	NUM
cana-4843	166	37	939	939	NUM
cana-4843	166	38	16,18	16,18	NUM
cana-4843	166	39	,	,	PUNCT
cana-4843	166	40	0.99	0.99	NUM
cana-4843	166	41	0.99	0.99	NUM
cana-4843	166	42	0.999	0.999	NUM
cana-4843	166	43	0.998	0.998	NUM
cana-4843	166	44	0.987	0.987	NUM
cana-4843	166	45	21,22,24	21,22,24	NUM
cana-4843	166	46	775	775	NUM
cana-4843	166	47	814	814	NUM
cana-4843	166	48	439	439	NUM
cana-4843	166	49	789	789	NUM
cana-4843	166	50	995	995	NUM
cana-4843	166	51	13,15	13,15	NUM
cana-4843	166	52	,	,	PUNCT
cana-4843	166	53	0.997	0.997	NUM
cana-4843	166	54	0.998	0.998	NUM
cana-4843	166	55	0.999	0.999	NUM
cana-4843	166	56	0.998	0.998	NUM
cana-4843	166	57	0.988	0.988	NUM
cana-4843	166	58	16,17,18	16,17,18	NUM
cana-4843	166	59	737	737	NUM
cana-4843	166	60	304	304	NUM
cana-4843	166	61	261	261	NUM
cana-4843	166	62	782	782	NUM
cana-4843	166	63	545	545	NUM
cana-4843	166	64	figure	figure	NOUN
cana-4843	166	65	3	3	NUM
cana-4843	166	66	:	:	PUNCT
cana-4843	166	67	feature	feature	NOUN
cana-4843	166	68	based	base	VERB
cana-4843	166	69	performance	performance	NOUN
cana-4843	166	70	of	of	ADP
cana-4843	166	71	model2	model2	NOUN
cana-4843	166	72	figure	figure	NOUN
cana-4843	166	73	:	:	PUNCT
cana-4843	166	74	4	4	NUM
cana-4843	166	75	pca	pca	NOUN
cana-4843	166	76	based	base	VERB
cana-4843	166	77	roc	roc	PROPN
cana-4843	166	78	curve	curve	NOUN
cana-4843	166	79	for	for	ADP
cana-4843	166	80	two	two	NUM
cana-4843	166	81	models	model	NOUN
cana-4843	166	82	as	as	SCONJ
cana-4843	166	83	shown	show	VERB
cana-4843	166	84	in	in	ADP
cana-4843	166	85	table	table	NOUN
cana-4843	166	86	5	5	NUM
cana-4843	166	87	.	.	PUNCT
cana-4843	167	1	the	the	DET
cana-4843	167	2	curves	curve	NOUN
cana-4843	167	3	for	for	ADP
cana-4843	167	4	model-1	model-1	PROPN
cana-4843	167	5	(	(	PUNCT
cana-4843	167	6	blue	blue	ADJ
cana-4843	167	7	)	)	PUNCT
cana-4843	167	8	and	and	CCONJ
cana-4843	167	9	model-2	model-2	NUM
cana-4843	167	10	(	(	PUNCT
cana-4843	167	11	green	green	ADJ
cana-4843	167	12	)	)	PUNCT
cana-4843	167	13	overlap	overlap	NOUN
cana-4843	167	14	significantly	significantly	ADV
cana-4843	167	15	,	,	PUNCT
cana-4843	167	16	indicating	indicate	VERB
cana-4843	167	17	that	that	SCONJ
cana-4843	167	18	the	the	DET
cana-4843	167	19	two	two	NUM
cana-4843	167	20	models	model	NOUN
cana-4843	167	21	perform	perform	VERB
cana-4843	167	22	almost	almost	ADV
cana-4843	167	23	identically	identically	ADV
cana-4843	167	24	in	in	ADP
cana-4843	167	25	terms	term	NOUN
cana-4843	167	26	of	of	ADP
cana-4843	167	27	classification	classification	NOUN
cana-4843	167	28	.	.	PUNCT
cana-4843	168	1	both	both	DET
cana-4843	168	2	curves	curve	NOUN
cana-4843	168	3	flatten	flatten	VERB
cana-4843	168	4	after	after	ADP
cana-4843	168	5	the	the	DET
cana-4843	168	6	steep	steep	ADJ
cana-4843	168	7	rise	rise	NOUN
cana-4843	168	8	,	,	PUNCT
cana-4843	168	9	maintaining	maintain	VERB
cana-4843	168	10	a	a	DET
cana-4843	168	11	high	high	ADJ
cana-4843	168	12	tpr	tpr	NOUN
cana-4843	168	13	as	as	ADP
cana-4843	168	14	fpr	fpr	NOUN
cana-4843	168	15	increases	increase	NOUN
cana-4843	168	16	.	.	PUNCT
cana-4843	169	1	this	this	PRON
cana-4843	169	2	suggests	suggest	VERB
cana-4843	169	3	that	that	SCONJ
cana-4843	169	4	the	the	DET
cana-4843	169	5	models	model	NOUN
cana-4843	169	6	perform	perform	VERB
cana-4843	169	7	consistently	consistently	ADV
cana-4843	169	8	well	well	ADV
cana-4843	169	9	across	across	ADP
cana-4843	169	10	different	different	ADJ
cana-4843	169	11	decision	decision	NOUN
cana-4843	169	12	thresholds	threshold	NOUN
cana-4843	169	13	.	.	PUNCT
cana-4843	170	1	although	although	SCONJ
cana-4843	170	2	the	the	DET
cana-4843	170	3	auc	auc	NOUN
cana-4843	170	4	is	be	AUX
cana-4843	170	5	not	not	PART
cana-4843	170	6	explicitly	explicitly	ADV
cana-4843	170	7	mentioned	mention	VERB
cana-4843	170	8	,	,	PUNCT
cana-4843	170	9	the	the	DET
cana-4843	170	10	close	close	ADJ
cana-4843	170	11	-	-	PUNCT
cana-4843	170	12	tooptimal	tooptimal	ADJ
cana-4843	170	13	shape	shape	NOUN
cana-4843	170	14	of	of	ADP
cana-4843	170	15	the	the	DET
cana-4843	170	16	curves	curve	NOUN
cana-4843	170	17	implies	imply	VERB
cana-4843	170	18	that	that	SCONJ
cana-4843	170	19	the	the	DET
cana-4843	170	20	auc	auc	NOUN
cana-4843	170	21	for	for	ADP
cana-4843	170	22	both	both	DET
cana-4843	170	23	models	model	NOUN
cana-4843	170	24	is	be	AUX
cana-4843	170	25	likely	likely	ADJ
cana-4843	170	26	near	near	ADP
cana-4843	170	27	1	1	NUM
cana-4843	170	28	.	.	PUNCT
cana-4843	171	1	this	this	PRON
cana-4843	171	2	indicates	indicate	VERB
cana-4843	171	3	excellent	excellent	ADJ
cana-4843	171	4	discrimination	discrimination	NOUN
cana-4843	171	5	ability	ability	NOUN
cana-4843	171	6	.	.	PUNCT
cana-4843	172	1	ii	ii	PROPN
cana-4843	172	2	.	.	PUNCT
cana-4843	173	1	lr	lr	PROPN
cana-4843	173	2	index	index	NOUN
cana-4843	173	3	based	base	VERB
cana-4843	173	4	feature	feature	NOUN
cana-4843	173	5	selection	selection	NOUN
cana-4843	173	6	the	the	DET
cana-4843	173	7	feature	feature	NOUN
cana-4843	173	8	subsets	subset	NOUN
cana-4843	173	9	are	be	AUX
cana-4843	173	10	obtained	obtain	VERB
cana-4843	173	11	on	on	ADP
cana-4843	173	12	magnitude	magnitude	NOUN
cana-4843	173	13	of	of	ADP
cana-4843	173	14	coefficients(weights	coefficients(weight	NOUN
cana-4843	173	15	)	)	PUNCT
cana-4843	173	16	reflects	reflect	VERB
cana-4843	173	17	the	the	DET
cana-4843	173	18	importance	importance	NOUN
cana-4843	173	19	of	of	ADP
cana-4843	173	20	feature	feature	NOUN
cana-4843	173	21	selection	selection	NOUN
cana-4843	173	22	.	.	PUNCT
cana-4843	174	1	here	here	ADV
cana-4843	174	2	each	each	DET
cana-4843	174	3	feature	feature	NOUN
cana-4843	174	4	coefficient	coefficient	NOUN
cana-4843	174	5	is	be	AUX
cana-4843	174	6	associated	associate	VERB
cana-4843	174	7	with	with	ADP
cana-4843	174	8	p	p	NOUN
cana-4843	174	9	-	-	PUNCT
cana-4843	174	10	value	value	NOUN
cana-4843	174	11	.	.	PUNCT
cana-4843	175	1	based	base	VERB
cana-4843	175	2	on	on	ADP
cana-4843	175	3	these	these	DET
cana-4843	175	4	values	value	NOUN
cana-4843	175	5	least	least	ADJ
cana-4843	175	6	important	important	ADJ
cana-4843	175	7	features	feature	NOUN
cana-4843	175	8	are	be	AUX
cana-4843	175	9	being	be	AUX
cana-4843	175	10	removed	remove	VERB
cana-4843	175	11	and	and	CCONJ
cana-4843	175	12	refit	refit	VERB
cana-4843	175	13	the	the	DET
cana-4843	175	14	features	feature	NOUN
cana-4843	175	15	until	until	SCONJ
cana-4843	175	16	the	the	DET
cana-4843	175	17	optimal	optimal	ADJ
cana-4843	175	18	subset	subset	NOUN
cana-4843	175	19	of	of	ADP
cana-4843	175	20	features	feature	NOUN
cana-4843	175	21	are	be	AUX
cana-4843	175	22	finalized	finalize	VERB
cana-4843	175	23	.	.	PUNCT
cana-4843	176	1	it	it	PRON
cana-4843	176	2	shows	show	VERB
cana-4843	176	3	the	the	DET
cana-4843	176	4	dimensionality	dimensionality	NOUN
cana-4843	176	5	of	of	ADP
cana-4843	176	6	proposed	propose	VERB
cana-4843	176	7	feature	feature	NOUN
cana-4843	176	8	space	space	NOUN
cana-4843	176	9	.	.	PUNCT
cana-4843	177	1	the	the	DET
cana-4843	177	2	final	final	ADJ
cana-4843	177	3	feature	feature	NOUN
cana-4843	177	4	subset	subset	NOUN
cana-4843	177	5	groups	group	NOUN
cana-4843	177	6	4,9,14,22	4,9,14,22	PROPN
cana-4843	177	7	,	,	PUNCT
cana-4843	177	8	and	and	CCONJ
cana-4843	177	9	7,16,19,26	7,16,19,26	NOUN
cana-4843	177	10	are	be	AUX
cana-4843	177	11	define	define	VERB
cana-4843	177	12	the	the	DET
cana-4843	177	13	contribution	contribution	NOUN
cana-4843	177	14	of	of	ADP
cana-4843	177	15	each	each	DET
cana-4843	177	16	original	original	ADJ
cana-4843	177	17	feature	feature	NOUN
cana-4843	177	18	to	to	ADP
cana-4843	177	19	new	new	ADJ
cana-4843	177	20	feature	feature	NOUN
cana-4843	177	21	.	.	PUNCT
cana-4843	178	1	these	these	DET
cana-4843	178	2	two	two	NUM
cana-4843	178	3	subsets	subset	NOUN
cana-4843	178	4	are	be	AUX
cana-4843	178	5	evaluate	evaluate	VERB
cana-4843	178	6	for	for	ADP
cana-4843	178	7	model1	model1	PROPN
cana-4843	178	8	and	and	CCONJ
cana-4843	178	9	model2	model2	NOUN
cana-4843	178	10	through	through	ADP
cana-4843	178	11	k	k	PROPN
cana-4843	178	12	-	-	PUNCT
cana-4843	178	13	nn	nn	ADJ
cana-4843	178	14	classification	classification	NOUN
cana-4843	178	15	using	use	VERB
cana-4843	178	16	table	table	NOUN
cana-4843	178	17	4	4	NUM
cana-4843	178	18	and	and	CCONJ
cana-4843	178	19	5	5	NUM
cana-4843	178	20	respectively	respectively	ADV
cana-4843	178	21	and	and	CCONJ
cana-4843	178	22	final	final	ADJ
cana-4843	178	23	roc	roc	PROPN
cana-4843	178	24	curves	curve	NOUN
cana-4843	178	25	are	be	AUX
cana-4843	178	26	represented	represent	VERB
cana-4843	178	27	in	in	ADP
cana-4843	178	28	graphs	graph	NOUN
cana-4843	178	29	.	.	PUNCT
cana-4843	179	1	communications	communication	NOUN
cana-4843	179	2	on	on	ADP
cana-4843	179	3	applied	apply	VERB
cana-4843	179	4	nonlinear	nonlinear	ADJ
cana-4843	179	5	analysis	analysis	NOUN
cana-4843	179	6	issn	issn	NOUN
cana-4843	179	7	:	:	PUNCT
cana-4843	179	8	1074	1074	NUM
cana-4843	179	9	-	-	PUNCT
cana-4843	179	10	133x	133x	NUM
cana-4843	179	11	vol	vol	VERB
cana-4843	179	12	32	32	NUM
cana-4843	179	13	no	no	NOUN
cana-4843	179	14	.	.	PUNCT
cana-4843	180	1	10s	10	NOUN
cana-4843	180	2	(	(	PUNCT
cana-4843	180	3	2025	2025	NUM
cana-4843	180	4	)	)	PUNCT
cana-4843	180	5	500	500	NUM
cana-4843	180	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	180	7	table	table	NOUN
cana-4843	180	8	4	4	NUM
cana-4843	180	9	:	:	PUNCT
cana-4843	180	10	algorithms	algorithm	NOUN
cana-4843	180	11	based	base	VERB
cana-4843	180	12	lr	lr	NOUN
cana-4843	180	13	for	for	ADP
cana-4843	180	14	performances	performance	NOUN
cana-4843	180	15	with	with	ADP
cana-4843	180	16	doh	doh	PROPN
cana-4843	180	17	non	non	ADJ
cana-4843	180	18	-	-	ADJ
cana-4843	180	19	doh	doh	ADJ
cana-4843	180	20	features	feature	VERB
cana-4843	180	21	#	#	NOUN
cana-4843	180	22	accuracy	accuracy	NOUN
cana-4843	180	23	precision	precision	NOUN
cana-4843	180	24	recall	recall	NOUN
cana-4843	180	25	f1	f1	PROPN
cana-4843	180	26	roc	roc	PROPN
cana-4843	180	27	auc	auc	NOUN
cana-4843	180	28	0.99876	0.99876	NUM
cana-4843	180	29	0.99123	0.99123	NUM
cana-4843	180	30	0.99912	0.99912	NUM
cana-4843	180	31	0.999126	0.999126	NUM
cana-4843	180	32	0.99765	0.99765	NUM
cana-4843	180	33	4	4	NUM
cana-4843	180	34	,	,	PUNCT
cana-4843	180	35	9,14	9,14	ADV
cana-4843	180	36	,	,	PUNCT
cana-4843	180	37	22	22	NUM
cana-4843	180	38	0.99231	0.99231	NUM
cana-4843	180	39	0.98098	0.98098	NUM
cana-4843	180	40	0.9812	0.9812	NUM
cana-4843	180	41	0.99756	0.99756	NUM
cana-4843	180	42	0.98023	0.98023	NUM
cana-4843	180	43	7	7	NUM
cana-4843	180	44	,	,	PUNCT
cana-4843	180	45	16	16	NUM
cana-4843	180	46	,	,	PUNCT
cana-4843	180	47	19	19	NUM
cana-4843	180	48	,	,	PUNCT
cana-4843	180	49	26	26	NUM
cana-4843	180	50	table	table	NOUN
cana-4843	180	51	5	5	NUM
cana-4843	180	52	:	:	PUNCT
cana-4843	180	53	algorithms	algorithm	NOUN
cana-4843	180	54	based	base	VERB
cana-4843	180	55	lr	lr	NOUN
cana-4843	180	56	for	for	ADP
cana-4843	180	57	performances	performance	NOUN
cana-4843	180	58	b	b	X
cana-4843	180	59	-	-	PUNCT
cana-4843	180	60	m	m	VERB
cana-4843	180	61	with	with	ADP
cana-4843	180	62	entropy	entropy	PROPN
cana-4843	180	63	features	feature	VERB
cana-4843	180	64	#	#	NOUN
cana-4843	180	65	accuracy	accuracy	NOUN
cana-4843	180	66	precision	precision	NOUN
cana-4843	180	67	re	re	AUX
cana-4843	180	68	call	call	VERB
cana-4843	180	69	f1	f1	PROPN
cana-4843	180	70	roc	roc	PROPN
cana-4843	180	71	auc	auc	NOUN
cana-4843	180	72	0.98784	0.98784	NUM
cana-4843	180	73	0.98781	0.98781	NUM
cana-4843	180	74	0.97813	0.97813	NUM
cana-4843	180	75	0.98541	0.98541	NUM
cana-4843	181	1	0.97681	0.97681	NUM
cana-4843	181	2	4	4	NUM
cana-4843	181	3	,	,	PUNCT
cana-4843	181	4	9,14	9,14	ADV
cana-4843	181	5	,	,	PUNCT
cana-4843	181	6	22	22	NUM
cana-4843	181	7	0.99456	0.99456	NUM
cana-4843	181	8	0.99129	0.99129	NUM
cana-4843	181	9	0.99801	0.99801	NUM
cana-4843	181	10	0.98987	0.98987	NUM
cana-4843	181	11	0.99876	0.99876	NUM
cana-4843	181	12	7	7	NUM
cana-4843	181	13	,	,	PUNCT
cana-4843	181	14	16	16	NUM
cana-4843	181	15	,	,	PUNCT
cana-4843	181	16	19	19	NUM
cana-4843	181	17	,	,	PUNCT
cana-4843	181	18	26	26	NUM
cana-4843	181	19	figure	figure	NOUN
cana-4843	181	20	5	5	NUM
cana-4843	181	21	:	:	PUNCT
cana-4843	181	22	performance	performance	NOUN
cana-4843	181	23	of	of	ADP
cana-4843	181	24	lr	lr	NOUN
cana-4843	181	25	algorithm	algorithm	NOUN
cana-4843	181	26	for	for	ADP
cana-4843	181	27	benign	benign	ADJ
cana-4843	181	28	and	and	CCONJ
cana-4843	181	29	malicious	malicious	ADJ
cana-4843	181	30	data	datum	NOUN
cana-4843	181	31	with	with	ADP
cana-4843	181	32	entropy	entropy	NOUN
cana-4843	181	33	figure	figure	VERB
cana-4843	181	34	6	6	NUM
cana-4843	181	35	:	:	PUNCT
cana-4843	181	36	performance	performance	NOUN
cana-4843	181	37	of	of	ADP
cana-4843	181	38	lr	lr	NOUN
cana-4843	181	39	algorithm	algorithm	NOUN
cana-4843	181	40	for	for	ADP
cana-4843	181	41	doh	doh	PROPN
cana-4843	181	42	,	,	PUNCT
cana-4843	181	43	non	non	ADJ
cana-4843	181	44	-	-	ADJ
cana-4843	181	45	doh	doh	ADJ
cana-4843	181	46	figure	figure	NOUN
cana-4843	181	47	7	7	NUM
cana-4843	181	48	:	:	PUNCT
cana-4843	181	49	performance	performance	NOUN
cana-4843	181	50	in	in	ADP
cana-4843	181	51	terms	term	NOUN
cana-4843	181	52	of	of	ADP
cana-4843	181	53	au	au	NOUN
cana-4843	181	54	-	-	NOUN
cana-4843	181	55	roc	roc	PROPN
cana-4843	181	56	for	for	ADP
cana-4843	181	57	two	two	NUM
cana-4843	181	58	types	type	NOUN
cana-4843	181	59	of	of	ADP
cana-4843	181	60	data	datum	NOUN
cana-4843	181	61	.	.	PUNCT
cana-4843	182	1	from	from	ADP
cana-4843	182	2	table	table	NOUN
cana-4843	182	3	11	11	NUM
cana-4843	182	4	,	,	PUNCT
cana-4843	182	5	the	the	DET
cana-4843	182	6	features	feature	NOUN
cana-4843	182	7	4,9,14	4,9,14	NUM
cana-4843	182	8	and	and	CCONJ
cana-4843	182	9	7,16,19,26	7,16,19,26	NUM
cana-4843	182	10	were	be	AUX
cana-4843	182	11	extracted	extract	VERB
cana-4843	182	12	according	accord	VERB
cana-4843	182	13	to	to	ADP
cana-4843	182	14	feature	feature	NOUN
cana-4843	182	15	coefficients(βi	coefficients(βi	NOUN
cana-4843	182	16	)	)	PUNCT
cana-4843	182	17	set	set	VERB
cana-4843	182	18	exactly	exactly	ADV
cana-4843	182	19	to	to	ADP
cana-4843	182	20	zero	zero	NUM
cana-4843	182	21	.	.	PUNCT
cana-4843	183	1	the	the	DET
cana-4843	183	2	non	non	ADJ
cana-4843	183	3	-	-	ADJ
cana-4843	183	4	zero	zero	NUM
cana-4843	183	5	coefficients	coefficient	NOUN
cana-4843	183	6	are	be	AUX
cana-4843	183	7	interpreted	interpret	VERB
cana-4843	183	8	as	as	ADP
cana-4843	183	9	relevant	relevant	ADJ
cana-4843	183	10	feature	feature	NOUN
cana-4843	183	11	selection	selection	NOUN
cana-4843	183	12	.	.	PUNCT
cana-4843	184	1	we	we	PRON
cana-4843	184	2	also	also	ADV
cana-4843	184	3	learned	learn	VERB
cana-4843	184	4	from	from	ADP
cana-4843	184	5	these	these	DET
cana-4843	184	6	features	feature	NOUN
cana-4843	184	7	that	that	SCONJ
cana-4843	184	8	these	these	PRON
cana-4843	184	9	are	be	AUX
cana-4843	184	10	the	the	DET
cana-4843	184	11	most	most	ADV
cana-4843	184	12	determining	determine	VERB
cana-4843	184	13	predictors	predictor	NOUN
cana-4843	184	14	.	.	PUNCT
cana-4843	185	1	communications	communication	NOUN
cana-4843	185	2	on	on	ADP
cana-4843	185	3	applied	apply	VERB
cana-4843	185	4	nonlinear	nonlinear	ADJ
cana-4843	185	5	analysis	analysis	NOUN
cana-4843	185	6	issn	issn	NOUN
cana-4843	185	7	:	:	PUNCT
cana-4843	185	8	1074	1074	NUM
cana-4843	185	9	-	-	PUNCT
cana-4843	185	10	133x	133x	NUM
cana-4843	185	11	vol	vol	VERB
cana-4843	185	12	32	32	NUM
cana-4843	185	13	no	no	NOUN
cana-4843	185	14	.	.	PUNCT
cana-4843	186	1	10s	10	NOUN
cana-4843	186	2	(	(	PUNCT
cana-4843	186	3	2025	2025	NUM
cana-4843	186	4	)	)	PUNCT
cana-4843	186	5	501	501	NUM
cana-4843	186	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	186	7	from	from	ADP
cana-4843	186	8	the	the	DET
cana-4843	186	9	above	above	ADJ
cana-4843	186	10	graph	graph	NOUN
cana-4843	186	11	we	we	PRON
cana-4843	186	12	can	can	AUX
cana-4843	186	13	say	say	VERB
cana-4843	186	14	that	that	SCONJ
cana-4843	186	15	as	as	SCONJ
cana-4843	186	16	learning	learn	VERB
cana-4843	186	17	rate	rate	NOUN
cana-4843	186	18	increases	increase	NOUN
cana-4843	186	19	tpr	tpr	NOUN
cana-4843	186	20	is	be	AUX
cana-4843	186	21	increases	increase	NOUN
cana-4843	186	22	it	it	PRON
cana-4843	186	23	means	mean	VERB
cana-4843	186	24	more	more	ADV
cana-4843	186	25	positive	positive	ADJ
cana-4843	186	26	comes	come	NOUN
cana-4843	186	27	.	.	PUNCT
cana-4843	187	1	but	but	CCONJ
cana-4843	187	2	it	it	PRON
cana-4843	187	3	should	should	AUX
cana-4843	187	4	ideally	ideally	ADV
cana-4843	187	5	be	be	AUX
cana-4843	187	6	accompanied	accompany	VERB
cana-4843	187	7	by	by	ADP
cana-4843	187	8	a	a	DET
cana-4843	187	9	high	high	ADJ
cana-4843	187	10	precision	precision	NOUN
cana-4843	187	11	to	to	PART
cana-4843	187	12	avoid	avoid	VERB
cana-4843	187	13	unnecessary	unnecessary	ADJ
cana-4843	187	14	trade	trade	NOUN
cana-4843	187	15	-	-	PUNCT
cana-4843	187	16	offs	off	NOUN
cana-4843	187	17	.	.	PUNCT
cana-4843	188	1	balancing	balance	VERB
cana-4843	188	2	tpr	tpr	PROPN
cana-4843	188	3	and	and	CCONJ
cana-4843	188	4	precision	precision	NOUN
cana-4843	188	5	ensures	ensure	VERB
cana-4843	188	6	better	well	ADJ
cana-4843	188	7	overall	overall	ADJ
cana-4843	188	8	model	model	NOUN
cana-4843	188	9	performance	performance	NOUN
cana-4843	188	10	.	.	PUNCT
cana-4843	189	1	iii	iii	X
cana-4843	189	2	.	.	PUNCT
cana-4843	190	1	lor	lor	PROPN
cana-4843	190	2	index	index	PROPN
cana-4843	190	3	based	base	VERB
cana-4843	190	4	feature	feature	NOUN
cana-4843	190	5	selection	selection	NOUN
cana-4843	190	6	lor	lor	PROPN
cana-4843	190	7	regression	regression	PROPN
cana-4843	190	8	model	model	NOUN
cana-4843	190	9	works	work	VERB
cana-4843	190	10	over	over	ADP
cana-4843	190	11	a	a	DET
cana-4843	190	12	range	range	NOUN
cana-4843	190	13	of	of	ADP
cana-4843	190	14	λ	λ	PROPN
cana-4843	190	15	values	value	NOUN
cana-4843	190	16	to	to	PART
cana-4843	190	17	determine	determine	VERB
cana-4843	190	18	the	the	DET
cana-4843	190	19	optimal	optimal	ADJ
cana-4843	190	20	subset	subset	NOUN
cana-4843	190	21	of	of	ADP
cana-4843	190	22	features	feature	NOUN
cana-4843	190	23	.	.	PUNCT
cana-4843	191	1	here	here	ADV
cana-4843	191	2	co	co	NOUN
cana-4843	191	3	-	-	NOUN
cana-4843	191	4	efficients	efficient	NOUN
cana-4843	191	5	that	that	PRON
cana-4843	191	6	are	be	AUX
cana-4843	191	7	non	non	ADJ
cana-4843	191	8	-	-	ADJ
cana-4843	191	9	zero	zero	NUM
cana-4843	191	10	after	after	SCONJ
cana-4843	191	11	training	training	NOUN
cana-4843	191	12	represents	represent	VERB
cana-4843	191	13	selected	select	VERB
cana-4843	191	14	features	feature	NOUN
cana-4843	191	15	.	.	PUNCT
cana-4843	192	1	where	where	SCONJ
cana-4843	192	2	features	feature	NOUN
cana-4843	192	3	with	with	ADP
cana-4843	192	4	co	co	NOUN
cana-4843	192	5	-	-	NOUN
cana-4843	192	6	efficients	efficient	NOUN
cana-4843	192	7	of	of	ADP
cana-4843	192	8	zero	zero	NUM
cana-4843	192	9	are	be	AUX
cana-4843	192	10	excluded	exclude	VERB
cana-4843	192	11	.	.	PUNCT
cana-4843	193	1	the	the	DET
cana-4843	193	2	features	feature	NOUN
cana-4843	193	3	11,16,21,28	11,16,21,28	PROPN
cana-4843	193	4	and	and	CCONJ
cana-4843	193	5	6,12,18,26	6,12,18,26	NUM
cana-4843	193	6	based	base	VERB
cana-4843	193	7	on	on	ADP
cana-4843	193	8	magnitude	magnitude	NOUN
cana-4843	193	9	of	of	ADP
cana-4843	193	10	the	the	DET
cana-4843	193	11	weights	weight	NOUN
cana-4843	193	12	,	,	PUNCT
cana-4843	193	13	the	the	DET
cana-4843	193	14	sign	sign	NOUN
cana-4843	193	15	of	of	ADP
cana-4843	193	16	the	the	DET
cana-4843	193	17	weights	weight	NOUN
cana-4843	193	18	indicate	indicate	VERB
cana-4843	193	19	if	if	SCONJ
cana-4843	193	20	it	it	PRON
cana-4843	193	21	is	be	AUX
cana-4843	193	22	positively	positively	ADV
cana-4843	193	23	correlated	correlate	VERB
cana-4843	193	24	(	(	PUNCT
cana-4843	193	25	+	+	NOUN
cana-4843	193	26	)	)	PUNCT
cana-4843	193	27	or	or	CCONJ
cana-4843	193	28	negatively	negatively	ADV
cana-4843	193	29	correlated	correlate	VERB
cana-4843	193	30	(	(	PUNCT
cana-4843	193	31	-	-	PUNCT
cana-4843	193	32	)	)	PUNCT
cana-4843	193	33	with	with	ADP
cana-4843	193	34	the	the	DET
cana-4843	193	35	output	output	NOUN
cana-4843	193	36	.	.	PUNCT
cana-4843	194	1	these	these	DET
cana-4843	194	2	weights	weight	NOUN
cana-4843	194	3	correspond	correspond	VERB
cana-4843	194	4	to	to	ADP
cana-4843	194	5	the	the	DET
cana-4843	194	6	coefficients	coefficient	NOUN
cana-4843	194	7	of	of	ADP
cana-4843	194	8	features	feature	NOUN
cana-4843	194	9	in	in	ADP
cana-4843	194	10	the	the	DET
cana-4843	194	11	prediction	prediction	NOUN
cana-4843	194	12	equation	equation	NOUN
cana-4843	194	13	for	for	ADP
cana-4843	194	14	the	the	DET
cana-4843	194	15	dependent	dependent	ADJ
cana-4843	194	16	variable	variable	NOUN
cana-4843	194	17	.	.	PUNCT
cana-4843	195	1	the	the	PRON
cana-4843	195	2	higher	high	ADJ
cana-4843	195	3	the	the	DET
cana-4843	195	4	absolute	absolute	ADJ
cana-4843	195	5	values	value	NOUN
cana-4843	195	6	of	of	ADP
cana-4843	195	7	weights	weight	NOUN
cana-4843	195	8	,	,	PUNCT
cana-4843	195	9	the	the	PRON
cana-4843	195	10	more	more	ADV
cana-4843	195	11	important	important	ADJ
cana-4843	195	12	the	the	DET
cana-4843	195	13	features	feature	NOUN
cana-4843	195	14	.	.	PUNCT
cana-4843	196	1	these	these	PRON
cana-4843	196	2	are	be	AUX
cana-4843	196	3	positive	positive	ADJ
cana-4843	196	4	scalars	scalar	NOUN
cana-4843	196	5	that	that	PRON
cana-4843	196	6	scale	scale	VERB
cana-4843	196	7	up	up	ADP
cana-4843	196	8	the	the	DET
cana-4843	196	9	class	class	NOUN
cana-4843	196	10	label	label	NOUN
cana-4843	196	11	,	,	PUNCT
cana-4843	196	12	and	and	CCONJ
cana-4843	196	13	negative	negative	ADJ
cana-4843	196	14	scalars	scalar	NOUN
cana-4843	196	15	that	that	PRON
cana-4843	196	16	scale	scale	VERB
cana-4843	196	17	down	down	ADP
cana-4843	196	18	it	it	PRON
cana-4843	196	19	.	.	PUNCT
cana-4843	197	1	table	table	NOUN
cana-4843	197	2	6	6	NUM
cana-4843	197	3	:	:	PUNCT
cana-4843	197	4	algorithms	algorithm	NOUN
cana-4843	197	5	based	base	VERB
cana-4843	197	6	lor	lor	PROPN
cana-4843	197	7	for	for	ADP
cana-4843	197	8	performances	performance	NOUN
cana-4843	197	9	doh	doh	PROPN
cana-4843	197	10	,	,	PUNCT
cana-4843	197	11	non	non	ADJ
cana-4843	197	12	-	-	ADJ
cana-4843	197	13	doh	doh	ADJ
cana-4843	197	14	features	feature	VERB
cana-4843	197	15	#	#	NOUN
cana-4843	197	16	accuracy	accuracy	NOUN
cana-4843	197	17	precision	precision	NOUN
cana-4843	197	18	recall	recall	NOUN
cana-4843	197	19	f1	f1	PROPN
cana-4843	197	20	roc	roc	PROPN
cana-4843	197	21	auc	auc	NOUN
cana-4843	197	22	0.99123	0.99123	NUM
cana-4843	197	23	0.99453	0.99453	NUM
cana-4843	197	24	0.98971	0.98971	NUM
cana-4843	197	25	0.98981	0.98981	NUM
cana-4843	197	26	0.99121	0.99121	NUM
cana-4843	197	27	11,16,21,28	11,16,21,28	NUM
cana-4843	197	28	0.99531	0.99531	NUM
cana-4843	197	29	0.98123	0.98123	NUM
cana-4843	197	30	0.99812	0.99812	NUM
cana-4843	197	31	0.99987	0.99987	NUM
cana-4843	197	32	0.99123	0.99123	NUM
cana-4843	197	33	6,12,18,26	6,12,18,26	NUM
cana-4843	197	34	table	table	NOUN
cana-4843	197	35	7	7	NUM
cana-4843	197	36	:	:	PUNCT
cana-4843	197	37	algorithms	algorithm	NOUN
cana-4843	197	38	based	base	VERB
cana-4843	197	39	lor	lor	PROPN
cana-4843	197	40	for	for	ADP
cana-4843	197	41	performances	performance	NOUN
cana-4843	197	42	b	b	X
cana-4843	197	43	-	-	PUNCT
cana-4843	197	44	m	m	VERB
cana-4843	197	45	with	with	ADP
cana-4843	197	46	entropy	entropy	PROPN
cana-4843	197	47	features	feature	VERB
cana-4843	197	48	#	#	NOUN
cana-4843	197	49	accuracy	accuracy	NOUN
cana-4843	197	50	precision	precision	NOUN
cana-4843	197	51	re	re	AUX
cana-4843	197	52	call	call	VERB
cana-4843	197	53	f1	f1	PROPN
cana-4843	197	54	roc	roc	PROPN
cana-4843	197	55	auc	auc	NOUN
cana-4843	197	56	0.97898	0.97898	NUM
cana-4843	197	57	0.99876	0.99876	NUM
cana-4843	197	58	0.98431	0.98431	NUM
cana-4843	197	59	0.99781	0.99781	NUM
cana-4843	197	60	0.98781	0.98781	NUM
cana-4843	197	61	11,16,21,28	11,16,21,28	NUM
cana-4843	197	62	0.98987	0.98987	NUM
cana-4843	197	63	0.99321	0.99321	NUM
cana-4843	197	64	0.99123	0.99123	NUM
cana-4843	197	65	0.99786	0.99786	NUM
cana-4843	198	1	0.98987	0.98987	NUM
cana-4843	198	2	6,12,18,26	6,12,18,26	NUM
cana-4843	198	3	figure	figure	NOUN
cana-4843	198	4	8	8	NUM
cana-4843	198	5	:	:	PUNCT
cana-4843	198	6	performance	performance	NOUN
cana-4843	198	7	of	of	ADP
cana-4843	198	8	lor	lor	PROPN
cana-4843	198	9	algorithm	algorithm	NOUN
cana-4843	198	10	for	for	ADP
cana-4843	198	11	benign	benign	ADJ
cana-4843	198	12	and	and	CCONJ
cana-4843	198	13	malicious	malicious	ADJ
cana-4843	198	14	data	datum	NOUN
cana-4843	198	15	with	with	ADP
cana-4843	198	16	entropy	entropy	PROPN
cana-4843	198	17	.	.	PUNCT
cana-4843	199	1	figure	figure	VERB
cana-4843	199	2	9	9	NUM
cana-4843	199	3	:	:	PUNCT
cana-4843	199	4	performance	performance	NOUN
cana-4843	199	5	of	of	ADP
cana-4843	199	6	lor	lor	PROPN
cana-4843	199	7	algorithm	algorithm	PROPN
cana-4843	199	8	for	for	ADP
cana-4843	199	9	doh	doh	PROPN
cana-4843	199	10	,	,	PUNCT
cana-4843	199	11	non	non	ADJ
cana-4843	199	12	-	-	ADJ
cana-4843	199	13	doh	doh	ADJ
cana-4843	199	14	.	.	PUNCT
cana-4843	200	1	communications	communication	NOUN
cana-4843	200	2	on	on	ADP
cana-4843	200	3	applied	apply	VERB
cana-4843	200	4	nonlinear	nonlinear	ADJ
cana-4843	200	5	analysis	analysis	NOUN
cana-4843	200	6	issn	issn	NOUN
cana-4843	200	7	:	:	PUNCT
cana-4843	200	8	1074	1074	NUM
cana-4843	200	9	-	-	PUNCT
cana-4843	200	10	133x	133x	NUM
cana-4843	200	11	vol	vol	VERB
cana-4843	200	12	32	32	NUM
cana-4843	200	13	no	no	NOUN
cana-4843	200	14	.	.	PUNCT
cana-4843	201	1	10s	10	NOUN
cana-4843	201	2	(	(	PUNCT
cana-4843	201	3	2025	2025	NUM
cana-4843	201	4	)	)	PUNCT
cana-4843	201	5	502	502	NUM
cana-4843	201	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	201	7	figure	figure	NOUN
cana-4843	201	8	10	10	NUM
cana-4843	201	9	:	:	PUNCT
cana-4843	201	10	performance	performance	NOUN
cana-4843	201	11	in	in	ADP
cana-4843	201	12	terms	term	NOUN
cana-4843	201	13	of	of	ADP
cana-4843	201	14	au	au	NOUN
cana-4843	201	15	-	-	NOUN
cana-4843	201	16	roc	roc	PROPN
cana-4843	201	17	for	for	ADP
cana-4843	201	18	two	two	NUM
cana-4843	201	19	types	type	NOUN
cana-4843	201	20	of	of	ADP
cana-4843	201	21	data	datum	NOUN
cana-4843	201	22	.	.	PUNCT
cana-4843	202	1	from	from	ADP
cana-4843	202	2	the	the	DET
cana-4843	202	3	above	above	ADJ
cana-4843	202	4	figure	figure	NOUN
cana-4843	202	5	as	as	SCONJ
cana-4843	202	6	features	feature	NOUN
cana-4843	202	7	increases	increase	VERB
cana-4843	202	8	tpr	tpr	NOUN
cana-4843	202	9	increases	increase	NOUN
cana-4843	202	10	.	.	PUNCT
cana-4843	203	1	an	an	DET
cana-4843	203	2	increase	increase	NOUN
cana-4843	203	3	in	in	ADP
cana-4843	203	4	tpr	tpr	PROPN
cana-4843	203	5	(	(	PUNCT
cana-4843	203	6	recall	recall	NOUN
cana-4843	203	7	)	)	PUNCT
cana-4843	203	8	can	can	AUX
cana-4843	203	9	improve	improve	VERB
cana-4843	203	10	the	the	DET
cana-4843	203	11	f1	f1	NOUN
cana-4843	203	12	-	-	PUNCT
cana-4843	203	13	score	score	NOUN
cana-4843	203	14	,	,	PUNCT
cana-4843	203	15	which	which	PRON
cana-4843	203	16	is	be	AUX
cana-4843	203	17	the	the	DET
cana-4843	203	18	harmonic	harmonic	ADJ
cana-4843	203	19	mean	mean	NOUN
cana-4843	203	20	of	of	ADP
cana-4843	203	21	precision	precision	NOUN
cana-4843	203	22	and	and	CCONJ
cana-4843	203	23	recall	recall	NOUN
cana-4843	203	24	.	.	PUNCT
cana-4843	204	1	however	however	ADV
cana-4843	204	2	,	,	PUNCT
cana-4843	204	3	this	this	PRON
cana-4843	204	4	depends	depend	VERB
cana-4843	204	5	on	on	ADP
cana-4843	204	6	whether	whether	SCONJ
cana-4843	204	7	precision	precision	NOUN
cana-4843	204	8	remains	remain	VERB
cana-4843	204	9	steady	steady	ADJ
cana-4843	204	10	or	or	CCONJ
cana-4843	204	11	improves	improve	VERB
cana-4843	204	12	.	.	PUNCT
cana-4843	205	1	if	if	SCONJ
cana-4843	205	2	tpr	tpr	PROPN
cana-4843	205	3	is	be	AUX
cana-4843	205	4	increased	increase	VERB
cana-4843	205	5	by	by	ADP
cana-4843	205	6	lowering	lower	VERB
cana-4843	205	7	the	the	DET
cana-4843	205	8	decision	decision	NOUN
cana-4843	205	9	threshold	threshold	NOUN
cana-4843	205	10	,	,	PUNCT
cana-4843	205	11	it	it	PRON
cana-4843	205	12	could	could	AUX
cana-4843	205	13	lead	lead	VERB
cana-4843	205	14	to	to	ADP
cana-4843	205	15	a	a	DET
cana-4843	205	16	higher	high	ADJ
cana-4843	205	17	number	number	NOUN
cana-4843	205	18	of	of	ADP
cana-4843	205	19	false	false	ADJ
cana-4843	205	20	positives	positive	NOUN
cana-4843	205	21	(	(	PUNCT
cana-4843	205	22	fp	fp	NOUN
cana-4843	205	23	)	)	PUNCT
cana-4843	205	24	,	,	PUNCT
cana-4843	205	25	which	which	PRON
cana-4843	205	26	might	might	AUX
cana-4843	205	27	reduce	reduce	VERB
cana-4843	205	28	precision	precision	NOUN
cana-4843	205	29	.	.	PUNCT
cana-4843	206	1	iv	iv	X
cana-4843	206	2	.	.	PUNCT
cana-4843	207	1	rf	rf	NOUN
cana-4843	207	2	index	index	NOUN
cana-4843	207	3	based	base	VERB
cana-4843	207	4	feature	feature	NOUN
cana-4843	207	5	selection	selection	NOUN
cana-4843	207	6	in	in	ADP
cana-4843	207	7	random	random	ADJ
cana-4843	207	8	forest	forest	NOUN
cana-4843	207	9	features	feature	NOUN
cana-4843	207	10	with	with	ADP
cana-4843	207	11	higher	high	ADJ
cana-4843	207	12	importance	importance	NOUN
cana-4843	207	13	scores	score	NOUN
cana-4843	207	14	contribute	contribute	VERB
cana-4843	207	15	more	more	ADV
cana-4843	207	16	to	to	ADP
cana-4843	207	17	reducing	reduce	VERB
cana-4843	207	18	the	the	DET
cana-4843	207	19	variance	variance	NOUN
cana-4843	207	20	of	of	ADP
cana-4843	207	21	models	model	NOUN
cana-4843	207	22	.	.	PUNCT
cana-4843	208	1	features	feature	NOUN
cana-4843	208	2	are	be	AUX
cana-4843	208	3	ranked	rank	VERB
cana-4843	208	4	based	base	VERB
cana-4843	208	5	on	on	ADP
cana-4843	208	6	the	the	DET
cana-4843	208	7	above	above	ADJ
cana-4843	208	8	scores	score	NOUN
cana-4843	208	9	are	be	AUX
cana-4843	208	10	set	set	VERB
cana-4843	208	11	with	with	ADP
cana-4843	208	12	threshold	threshold	NOUN
cana-4843	208	13	value	value	NOUN
cana-4843	208	14	to	to	PART
cana-4843	208	15	select	select	VERB
cana-4843	208	16	the	the	DET
cana-4843	208	17	features	feature	NOUN
cana-4843	208	18	.	.	PUNCT
cana-4843	209	1	table	table	NOUN
cana-4843	209	2	8	8	NUM
cana-4843	209	3	:	:	PUNCT
cana-4843	209	4	obtain	obtain	VERB
cana-4843	209	5	features	feature	NOUN
cana-4843	209	6	8	8	NUM
cana-4843	209	7	,	,	PUNCT
cana-4843	209	8	10	10	NUM
cana-4843	209	9	,	,	PUNCT
cana-4843	209	10	15	15	NUM
cana-4843	209	11	and	and	CCONJ
cana-4843	209	12	9	9	NUM
cana-4843	209	13	,	,	PUNCT
cana-4843	209	14	17	17	NUM
cana-4843	209	15	,	,	PUNCT
cana-4843	209	16	22	22	NUM
cana-4843	209	17	by	by	ADP
cana-4843	209	18	iteratively	iteratively	ADV
cana-4843	209	19	extracting	extract	VERB
cana-4843	209	20	the	the	DET
cana-4843	209	21	features	feature	NOUN
cana-4843	209	22	that	that	PRON
cana-4843	209	23	best	good	ADJ
cana-4843	209	24	split	split	VERB
cana-4843	209	25	the	the	DET
cana-4843	209	26	data	datum	NOUN
cana-4843	209	27	and	and	CCONJ
cana-4843	209	28	improve	improve	VERB
cana-4843	209	29	performance	performance	NOUN
cana-4843	209	30	during	during	ADP
cana-4843	209	31	training	training	NOUN
cana-4843	209	32	.	.	PUNCT
cana-4843	210	1	features	feature	NOUN
cana-4843	210	2	are	be	AUX
cana-4843	210	3	sorted	sort	VERB
cana-4843	210	4	by	by	ADP
cana-4843	210	5	their	their	PRON
cana-4843	210	6	importance	importance	NOUN
cana-4843	210	7	scores	score	NOUN
cana-4843	210	8	.	.	PUNCT
cana-4843	211	1	keep	keep	VERB
cana-4843	211	2	the	the	DET
cana-4843	211	3	features	feature	NOUN
cana-4843	211	4	that	that	PRON
cana-4843	211	5	have	have	VERB
cana-4843	211	6	the	the	DET
cana-4843	211	7	highest	high	ADJ
cana-4843	211	8	importance	importance	NOUN
cana-4843	211	9	scores	score	NOUN
cana-4843	211	10	and	and	CCONJ
cana-4843	211	11	drop	drop	VERB
cana-4843	211	12	the	the	DET
cana-4843	211	13	remaining	remain	VERB
cana-4843	211	14	ones	one	NOUN
cana-4843	211	15	.	.	PUNCT
cana-4843	212	1	after	after	ADP
cana-4843	212	2	that	that	SCONJ
cana-4843	212	3	the	the	DET
cana-4843	212	4	top	top	ADJ
cana-4843	212	5	features	feature	NOUN
cana-4843	212	6	are	be	AUX
cana-4843	212	7	extracted	extract	VERB
cana-4843	212	8	as	as	ADP
cana-4843	212	9	features	feature	NOUN
cana-4843	212	10	for	for	ADP
cana-4843	212	11	the	the	DET
cana-4843	212	12	next	next	ADJ
cana-4843	212	13	tasks	task	NOUN
cana-4843	212	14	which	which	PRON
cana-4843	212	15	could	could	AUX
cana-4843	212	16	be	be	AUX
cana-4843	212	17	training	train	VERB
cana-4843	212	18	another	another	DET
cana-4843	212	19	model	model	NOUN
cana-4843	212	20	.	.	PUNCT
cana-4843	213	1	these	these	PRON
cana-4843	213	2	are	be	AUX
cana-4843	213	3	the	the	DET
cana-4843	213	4	most	most	ADV
cana-4843	213	5	significant	significant	ADJ
cana-4843	213	6	features	feature	NOUN
cana-4843	213	7	to	to	ADP
cana-4843	213	8	lower	low	ADJ
cana-4843	213	9	computational	computational	ADJ
cana-4843	213	10	complexity	complexity	NOUN
cana-4843	213	11	.	.	PUNCT
cana-4843	214	1	table	table	NOUN
cana-4843	214	2	8	8	NUM
cana-4843	214	3	:	:	PUNCT
cana-4843	214	4	algorithms	algorithm	NOUN
cana-4843	214	5	based	base	VERB
cana-4843	214	6	rf	rf	VERB
cana-4843	214	7	for	for	ADP
cana-4843	214	8	performances	performance	NOUN
cana-4843	214	9	for	for	ADP
cana-4843	214	10	doh	doh	PROPN
cana-4843	214	11	,	,	PUNCT
cana-4843	214	12	non	non	ADJ
cana-4843	214	13	-	-	ADJ
cana-4843	214	14	doh	doh	ADJ
cana-4843	214	15	features	feature	NOUN
cana-4843	214	16	used	use	VERB
cana-4843	214	17	accuracy	accuracy	NOUN
cana-4843	214	18	precision	precision	NOUN
cana-4843	214	19	recall	recall	NOUN
cana-4843	214	20	f1	f1	PROPN
cana-4843	214	21	roc	roc	PROPN
cana-4843	214	22	auc	auc	NOUN
cana-4843	215	1	0.98971	0.98971	NUM
cana-4843	216	1	0.98971	0.98971	NUM
cana-4843	216	2	0.97601	0.97601	NUM
cana-4843	216	3	0.99878	0.99878	NUM
cana-4843	216	4	0.99981	0.99981	NUM
cana-4843	216	5	8	8	NUM
cana-4843	216	6	,	,	PUNCT
cana-4843	216	7	10	10	NUM
cana-4843	216	8	,	,	PUNCT
cana-4843	216	9	15	15	NUM
cana-4843	216	10	0.99234	0.99234	NUM
cana-4843	216	11	0.99123	0.99123	NUM
cana-4843	216	12	0.99341	0.99341	NUM
cana-4843	216	13	0.98987	0.98987	NUM
cana-4843	216	14	0.99982	0.99982	NUM
cana-4843	216	15	9	9	NUM
cana-4843	216	16	,	,	PUNCT
cana-4843	216	17	17	17	NUM
cana-4843	216	18	,	,	PUNCT
cana-4843	216	19	22	22	NUM
cana-4843	216	20	communications	communication	NOUN
cana-4843	216	21	on	on	ADP
cana-4843	216	22	applied	apply	VERB
cana-4843	216	23	nonlinear	nonlinear	ADJ
cana-4843	216	24	analysis	analysis	NOUN
cana-4843	216	25	issn	issn	NOUN
cana-4843	216	26	:	:	PUNCT
cana-4843	216	27	1074	1074	NUM
cana-4843	216	28	-	-	PUNCT
cana-4843	216	29	133x	133x	NUM
cana-4843	216	30	vol	vol	VERB
cana-4843	216	31	32	32	NUM
cana-4843	216	32	no	no	NOUN
cana-4843	216	33	.	.	PUNCT
cana-4843	217	1	10s	10	NOUN
cana-4843	217	2	(	(	PUNCT
cana-4843	217	3	2025	2025	NUM
cana-4843	217	4	)	)	PUNCT
cana-4843	217	5	503	503	NUM
cana-4843	217	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	217	7	table	table	NOUN
cana-4843	217	8	9	9	NUM
cana-4843	217	9	:	:	PUNCT
cana-4843	217	10	algorithms	algorithm	NOUN
cana-4843	217	11	based	base	VERB
cana-4843	217	12	rf	rf	VERB
cana-4843	217	13	for	for	ADP
cana-4843	217	14	performances	performance	NOUN
cana-4843	217	15	for	for	ADP
cana-4843	217	16	b	b	NOUN
cana-4843	217	17	-	-	NOUN
cana-4843	217	18	m	m	NOUN
cana-4843	217	19	with	with	ADP
cana-4843	217	20	entropy	entropy	NOUN
cana-4843	217	21	features	feature	NOUN
cana-4843	217	22	used	use	VERB
cana-4843	217	23	accuracy	accuracy	NOUN
cana-4843	217	24	precision	precision	NOUN
cana-4843	217	25	re	re	PART
cana-4843	217	26	call	call	VERB
cana-4843	217	27	f1	f1	PROPN
cana-4843	217	28	roc	roc	PROPN
cana-4843	217	29	auc	auc	VERB
cana-4843	217	30	0.98761	0.98761	NUM
cana-4843	217	31	0.99876	0.99876	NUM
cana-4843	217	32	0.99871	0.99871	NUM
cana-4843	217	33	0.99098	0.99098	NUM
cana-4843	217	34	0.99823	0.99823	NUM
cana-4843	217	35	8	8	NUM
cana-4843	217	36	,	,	PUNCT
cana-4843	217	37	10	10	NUM
cana-4843	217	38	,	,	PUNCT
cana-4843	217	39	15	15	NUM
cana-4843	217	40	0.99876	0.99876	NUM
cana-4843	217	41	0.99321	0.99321	NUM
cana-4843	217	42	0.99541	0.99541	NUM
cana-4843	217	43	0.99887	0.99887	NUM
cana-4843	217	44	0.97891	0.97891	NUM
cana-4843	217	45	9	9	NUM
cana-4843	217	46	,	,	PUNCT
cana-4843	217	47	17	17	NUM
cana-4843	217	48	,	,	PUNCT
cana-4843	217	49	22	22	NUM
cana-4843	217	50	figure	figure	NOUN
cana-4843	217	51	11	11	NUM
cana-4843	217	52	:	:	PUNCT
cana-4843	217	53	performance	performance	NOUN
cana-4843	217	54	of	of	ADP
cana-4843	217	55	rf	rf	ADJ
cana-4843	217	56	algorithm	algorithm	NOUN
cana-4843	217	57	for	for	ADP
cana-4843	217	58	benign	benign	ADJ
cana-4843	217	59	and	and	CCONJ
cana-4843	217	60	malicious	malicious	ADJ
cana-4843	217	61	data	datum	NOUN
cana-4843	217	62	with	with	ADP
cana-4843	217	63	entropy	entropy	PROPN
cana-4843	217	64	.	.	PUNCT
cana-4843	218	1	figure	figure	NOUN
cana-4843	218	2	12	12	NUM
cana-4843	218	3	:	:	PUNCT
cana-4843	218	4	performance	performance	NOUN
cana-4843	218	5	of	of	ADP
cana-4843	218	6	lor	lor	PROPN
cana-4843	218	7	algorithm	algorithm	PROPN
cana-4843	218	8	for	for	ADP
cana-4843	218	9	doh	doh	PROPN
cana-4843	218	10	,	,	PUNCT
cana-4843	218	11	non	non	ADJ
cana-4843	218	12	-	-	ADJ
cana-4843	218	13	doh	doh	ADJ
cana-4843	218	14	.	.	PUNCT
cana-4843	219	1	figure	figure	NOUN
cana-4843	219	2	13	13	NUM
cana-4843	219	3	:	:	PUNCT
cana-4843	219	4	performance	performance	NOUN
cana-4843	219	5	in	in	ADP
cana-4843	219	6	terms	term	NOUN
cana-4843	219	7	of	of	ADP
cana-4843	219	8	au	au	NOUN
cana-4843	219	9	-	-	NOUN
cana-4843	219	10	roc	roc	PROPN
cana-4843	219	11	for	for	ADP
cana-4843	219	12	two	two	NUM
cana-4843	219	13	types	type	NOUN
cana-4843	219	14	of	of	ADP
cana-4843	219	15	data	datum	NOUN
cana-4843	219	16	using	use	VERB
cana-4843	219	17	rf	rf	ADJ
cana-4843	219	18	communications	communication	NOUN
cana-4843	219	19	on	on	ADP
cana-4843	219	20	applied	apply	VERB
cana-4843	219	21	nonlinear	nonlinear	ADJ
cana-4843	219	22	analysis	analysis	NOUN
cana-4843	219	23	issn	issn	NOUN
cana-4843	219	24	:	:	PUNCT
cana-4843	219	25	1074	1074	NUM
cana-4843	219	26	-	-	PUNCT
cana-4843	219	27	133x	133x	NUM
cana-4843	219	28	vol	vol	VERB
cana-4843	219	29	32	32	NUM
cana-4843	219	30	no	no	NOUN
cana-4843	219	31	.	.	PUNCT
cana-4843	220	1	10s	10	NOUN
cana-4843	220	2	(	(	PUNCT
cana-4843	220	3	2025	2025	NUM
cana-4843	220	4	)	)	PUNCT
cana-4843	220	5	504	504	NUM
cana-4843	220	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	220	7	the	the	DET
cana-4843	220	8	green	green	ADJ
cana-4843	220	9	curve	curve	NOUN
cana-4843	220	10	(	(	PUNCT
cana-4843	220	11	label	label	NOUN
cana-4843	220	12	:	:	PUNCT
cana-4843	220	13	9,17,22	9,17,22	NUM
cana-4843	220	14	)	)	PUNCT
cana-4843	220	15	generally	generally	ADV
cana-4843	220	16	outperforms	outperform	VERB
cana-4843	220	17	the	the	DET
cana-4843	220	18	red	red	ADJ
cana-4843	220	19	curve	curve	NOUN
cana-4843	220	20	(	(	PUNCT
cana-4843	220	21	label	label	NOUN
cana-4843	220	22	:	:	PUNCT
cana-4843	220	23	8,10,15	8,10,15	NUM
cana-4843	220	24	)	)	PUNCT
cana-4843	220	25	,	,	PUNCT
cana-4843	220	26	as	as	SCONJ
cana-4843	220	27	it	it	PRON
cana-4843	220	28	has	have	VERB
cana-4843	220	29	a	a	DET
cana-4843	220	30	higher	high	ADJ
cana-4843	220	31	tpr	tpr	NOUN
cana-4843	220	32	for	for	ADP
cana-4843	220	33	a	a	DET
cana-4843	220	34	given	give	VERB
cana-4843	220	35	fpr	fpr	PRON
cana-4843	220	36	in	in	ADP
cana-4843	220	37	most	most	ADJ
cana-4843	220	38	segments	segment	NOUN
cana-4843	220	39	of	of	ADP
cana-4843	220	40	the	the	DET
cana-4843	220	41	curve	curve	NOUN
cana-4843	220	42	.	.	PUNCT
cana-4843	221	1	the	the	DET
cana-4843	221	2	red	red	ADJ
cana-4843	221	3	curve	curve	NOUN
cana-4843	221	4	has	have	VERB
cana-4843	221	5	a	a	DET
cana-4843	221	6	notable	notable	ADJ
cana-4843	221	7	flat	flat	ADJ
cana-4843	221	8	section	section	NOUN
cana-4843	221	9	with	with	ADP
cana-4843	221	10	very	very	ADV
cana-4843	221	11	low	low	ADJ
cana-4843	221	12	tpr	tpr	NOUN
cana-4843	221	13	at	at	ADP
cana-4843	221	14	an	an	DET
cana-4843	221	15	fpr	fpr	NOUN
cana-4843	221	16	range	range	NOUN
cana-4843	221	17	around	around	ADP
cana-4843	221	18	0.65–0.75	0.65–0.75	PROPN
cana-4843	221	19	.	.	PUNCT
cana-4843	222	1	this	this	PRON
cana-4843	222	2	indicates	indicate	VERB
cana-4843	222	3	poor	poor	ADJ
cana-4843	222	4	performance	performance	NOUN
cana-4843	222	5	in	in	ADP
cana-4843	222	6	this	this	DET
cana-4843	222	7	range	range	NOUN
cana-4843	222	8	,	,	PUNCT
cana-4843	222	9	where	where	SCONJ
cana-4843	222	10	the	the	DET
cana-4843	222	11	model	model	NOUN
cana-4843	222	12	struggles	struggle	VERB
cana-4843	222	13	to	to	PART
cana-4843	222	14	identify	identify	VERB
cana-4843	222	15	positives	positive	NOUN
cana-4843	222	16	correctly	correctly	ADV
cana-4843	222	17	.	.	PUNCT
cana-4843	223	1	the	the	DET
cana-4843	223	2	green	green	ADJ
cana-4843	223	3	curve	curve	NOUN
cana-4843	223	4	has	have	VERB
cana-4843	223	5	a	a	DET
cana-4843	223	6	more	more	ADV
cana-4843	223	7	consistent	consistent	ADJ
cana-4843	223	8	rise	rise	NOUN
cana-4843	223	9	in	in	ADP
cana-4843	223	10	tpr	tpr	NOUN
cana-4843	223	11	across	across	ADP
cana-4843	223	12	all	all	DET
cana-4843	223	13	fpr	fpr	NOUN
cana-4843	223	14	ranges	range	NOUN
cana-4843	223	15	,	,	PUNCT
cana-4843	223	16	showing	show	VERB
cana-4843	223	17	robustness	robustness	NOUN
cana-4843	223	18	.	.	PUNCT
cana-4843	224	1	the	the	DET
cana-4843	224	2	green	green	ADJ
cana-4843	224	3	curve	curve	NOUN
cana-4843	224	4	(	(	PUNCT
cana-4843	224	5	9,17,22	9,17,22	NUM
cana-4843	224	6	)	)	PUNCT
cana-4843	224	7	may	may	AUX
cana-4843	224	8	be	be	AUX
cana-4843	224	9	better	well	ADV
cana-4843	224	10	suited	suit	VERB
cana-4843	224	11	for	for	ADP
cana-4843	224	12	applications	application	NOUN
cana-4843	224	13	prioritizing	prioritize	VERB
cana-4843	224	14	higher	high	ADJ
cana-4843	224	15	sensitivity	sensitivity	NOUN
cana-4843	224	16	(	(	PUNCT
cana-4843	224	17	more	more	ADV
cana-4843	224	18	true	true	ADJ
cana-4843	224	19	positives	positive	NOUN
cana-4843	224	20	)	)	PUNCT
cana-4843	224	21	at	at	ADP
cana-4843	224	22	lower	low	ADJ
cana-4843	224	23	false	false	ADJ
cana-4843	224	24	positive	positive	ADJ
cana-4843	224	25	rates	rate	NOUN
cana-4843	224	26	.	.	PUNCT
cana-4843	225	1	the	the	DET
cana-4843	225	2	red	red	ADJ
cana-4843	225	3	curve	curve	NOUN
cana-4843	225	4	(	(	PUNCT
cana-4843	225	5	8,10,15	8,10,15	NUM
cana-4843	225	6	)	)	PUNCT
cana-4843	225	7	might	might	AUX
cana-4843	225	8	perform	perform	VERB
cana-4843	225	9	better	well	ADV
cana-4843	225	10	in	in	ADP
cana-4843	225	11	situations	situation	NOUN
cana-4843	225	12	where	where	SCONJ
cana-4843	225	13	a	a	DET
cana-4843	225	14	higher	high	ADJ
cana-4843	225	15	fpr	fpr	NOUN
cana-4843	225	16	is	be	AUX
cana-4843	225	17	acceptable	acceptable	ADJ
cana-4843	225	18	after	after	ADP
cana-4843	225	19	0.85	0.85	NUM
cana-4843	225	20	,	,	PUNCT
cana-4843	225	21	though	though	SCONJ
cana-4843	225	22	its	its	PRON
cana-4843	225	23	overall	overall	ADJ
cana-4843	225	24	performance	performance	NOUN
cana-4843	225	25	is	be	AUX
cana-4843	225	26	less	less	ADV
cana-4843	225	27	robust	robust	ADJ
cana-4843	225	28	.	.	PUNCT
cana-4843	226	1	5	5	X
cana-4843	226	2	.	.	X
cana-4843	226	3	conclusion	conclusion	NOUN
cana-4843	226	4	in	in	ADP
cana-4843	226	5	this	this	DET
cana-4843	226	6	work	work	NOUN
cana-4843	226	7	,	,	PUNCT
cana-4843	226	8	the	the	DET
cana-4843	226	9	feature	feature	NOUN
cana-4843	226	10	extraction	extraction	NOUN
cana-4843	226	11	techniques	technique	NOUN
cana-4843	226	12	pca	pca	NOUN
cana-4843	226	13	(	(	PUNCT
cana-4843	226	14	principal	principal	ADJ
cana-4843	226	15	component	component	NOUN
cana-4843	226	16	analysis	analysis	NOUN
cana-4843	226	17	)	)	PUNCT
cana-4843	226	18	,	,	PUNCT
cana-4843	226	19	lr	lr	PROPN
cana-4843	226	20	,	,	PUNCT
cana-4843	226	21	lor	lor	NOUN
cana-4843	226	22	,	,	PUNCT
cana-4843	226	23	and	and	CCONJ
cana-4843	226	24	rf	rf	NOUN
cana-4843	226	25	feature	feature	NOUN
cana-4843	226	26	selection	selection	NOUN
cana-4843	226	27	methods	method	NOUN
cana-4843	226	28	represents	represent	VERB
cana-4843	226	29	a	a	DET
cana-4843	226	30	robust	robust	ADJ
cana-4843	226	31	strategy	strategy	NOUN
cana-4843	226	32	for	for	ADP
cana-4843	226	33	enhancing	enhance	VERB
cana-4843	226	34	security	security	NOUN
cana-4843	226	35	in	in	ADP
cana-4843	226	36	dns	dns	NOUN
cana-4843	226	37	over	over	ADP
cana-4843	226	38	https	https	NOUN
cana-4843	226	39	(	(	PUNCT
cana-4843	226	40	doh	doh	NOUN
cana-4843	226	41	)	)	PUNCT
cana-4843	226	42	connections	connection	NOUN
cana-4843	226	43	.	.	PUNCT
cana-4843	227	1	the	the	DET
cana-4843	227	2	model	model	NOUN
cana-4843	227	3	effectively	effectively	ADV
cana-4843	227	4	reduces	reduce	VERB
cana-4843	227	5	dimensionality	dimensionality	NOUN
cana-4843	227	6	by	by	ADP
cana-4843	227	7	preprocessing	preprocesse	VERB
cana-4843	227	8	data	datum	NOUN
cana-4843	227	9	with	with	ADP
cana-4843	227	10	pca	pca	PROPN
cana-4843	227	11	while	while	SCONJ
cana-4843	227	12	retaining	retain	VERB
cana-4843	227	13	significant	significant	ADJ
cana-4843	227	14	variance	variance	NOUN
cana-4843	227	15	,	,	PUNCT
cana-4843	227	16	optimizing	optimize	VERB
cana-4843	227	17	computational	computational	ADJ
cana-4843	227	18	efficiency	efficiency	NOUN
cana-4843	227	19	without	without	ADP
cana-4843	227	20	sacrificing	sacrifice	VERB
cana-4843	227	21	accuracy	accuracy	NOUN
cana-4843	227	22	.	.	PUNCT
cana-4843	228	1	using	use	VERB
cana-4843	228	2	the	the	DET
cana-4843	228	3	lr	lr	PROPN
cana-4843	228	4	,	,	PUNCT
cana-4843	228	5	lor	lor	PROPN
cana-4843	228	6	,	,	PUNCT
cana-4843	228	7	and	and	CCONJ
cana-4843	228	8	rf	rf	VERB
cana-4843	228	9	for	for	ADP
cana-4843	228	10	feature	feature	NOUN
cana-4843	228	11	selection	selection	NOUN
cana-4843	228	12	ensures	ensure	VERB
cana-4843	228	13	that	that	SCONJ
cana-4843	228	14	the	the	DET
cana-4843	228	15	most	most	ADV
cana-4843	228	16	informative	informative	ADJ
cana-4843	228	17	features	feature	NOUN
cana-4843	228	18	is	be	AUX
cana-4843	228	19	prioritized	prioritize	VERB
cana-4843	228	20	,	,	PUNCT
cana-4843	228	21	thereby	thereby	ADV
cana-4843	228	22	improving	improve	VERB
cana-4843	228	23	the	the	DET
cana-4843	228	24	model	model	NOUN
cana-4843	228	25	's	's	PART
cana-4843	228	26	ability	ability	NOUN
cana-4843	228	27	to	to	PART
cana-4843	228	28	detect	detect	VERB
cana-4843	228	29	malicious	malicious	ADJ
cana-4843	228	30	doh	doh	NOUN
cana-4843	228	31	traffic	traffic	NOUN
cana-4843	228	32	accurately	accurately	ADV
cana-4843	228	33	using	use	VERB
cana-4843	228	34	knn	knn	PROPN
cana-4843	228	35	algorithm	algorithm	PROPN
cana-4843	228	36	.	.	PUNCT
cana-4843	229	1	through	through	ADP
cana-4843	229	2	rigorous	rigorous	ADJ
cana-4843	229	3	evaluation	evaluation	NOUN
cana-4843	229	4	using	use	VERB
cana-4843	229	5	metrics	metric	NOUN
cana-4843	229	6	such	such	ADJ
cana-4843	229	7	as	as	ADP
cana-4843	229	8	accuracy	accuracy	NOUN
cana-4843	229	9	,	,	PUNCT
cana-4843	229	10	precision	precision	NOUN
cana-4843	229	11	,	,	PUNCT
cana-4843	229	12	recall	recall	NOUN
cana-4843	229	13	,	,	PUNCT
cana-4843	229	14	and	and	CCONJ
cana-4843	229	15	f1	f1	NOUN
cana-4843	229	16	-	-	PUNCT
cana-4843	229	17	score	score	NOUN
cana-4843	229	18	,	,	PUNCT
cana-4843	229	19	the	the	DET
cana-4843	229	20	approach	approach	NOUN
cana-4843	229	21	's	's	PART
cana-4843	229	22	effectiveness	effectiveness	NOUN
cana-4843	229	23	in	in	ADP
cana-4843	229	24	distinguishing	distinguish	VERB
cana-4843	229	25	between	between	ADP
cana-4843	229	26	legitimate	legitimate	ADJ
cana-4843	229	27	and	and	CCONJ
cana-4843	229	28	malicious	malicious	ADJ
cana-4843	229	29	doh	doh	NOUN
cana-4843	229	30	traffic	traffic	NOUN
cana-4843	229	31	has	have	AUX
cana-4843	229	32	been	be	AUX
cana-4843	229	33	demonstrated	demonstrate	VERB
cana-4843	229	34	.	.	PUNCT
cana-4843	230	1	this	this	DET
cana-4843	230	2	systematic	systematic	ADJ
cana-4843	230	3	approach	approach	NOUN
cana-4843	230	4	enhances	enhance	VERB
cana-4843	230	5	detection	detection	NOUN
cana-4843	230	6	capabilities	capability	NOUN
cana-4843	230	7	and	and	CCONJ
cana-4843	230	8	provides	provide	VERB
cana-4843	230	9	insights	insight	NOUN
cana-4843	230	10	into	into	ADP
cana-4843	230	11	the	the	DET
cana-4843	230	12	underlying	underlying	ADJ
cana-4843	230	13	characteristics	characteristic	NOUN
cana-4843	230	14	of	of	ADP
cana-4843	230	15	doh	doh	PROPN
cana-4843	230	16	traffic	traffic	NOUN
cana-4843	230	17	patterns	pattern	NOUN
cana-4843	230	18	,	,	PUNCT
cana-4843	230	19	which	which	PRON
cana-4843	230	20	are	be	AUX
cana-4843	230	21	crucial	crucial	ADJ
cana-4843	230	22	for	for	ADP
cana-4843	230	23	developing	develop	VERB
cana-4843	230	24	proactive	proactive	ADJ
cana-4843	230	25	cyber	cyber	NOUN
cana-4843	230	26	security	security	NOUN
cana-4843	230	27	measures	measure	NOUN
cana-4843	230	28	.	.	PUNCT
cana-4843	231	1	dns	dns	NOUN
cana-4843	231	2	traffic	traffic	NOUN
cana-4843	231	3	provides	provide	VERB
cana-4843	231	4	critical	critical	ADJ
cana-4843	231	5	insights	insight	NOUN
cana-4843	231	6	into	into	ADP
cana-4843	231	7	potential	potential	ADJ
cana-4843	231	8	security	security	NOUN
cana-4843	231	9	threats	threat	NOUN
cana-4843	231	10	.	.	PUNCT
cana-4843	232	1	its	its	PRON
cana-4843	232	2	analysis	analysis	NOUN
cana-4843	232	3	is	be	AUX
cana-4843	232	4	vital	vital	ADJ
cana-4843	232	5	for	for	SCONJ
cana-4843	232	6	intrusion	intrusion	NOUN
cana-4843	232	7	detection	detection	NOUN
cana-4843	232	8	systems	system	NOUN
cana-4843	232	9	and	and	CCONJ
cana-4843	232	10	application	application	NOUN
cana-4843	232	11	firewalls	firewall	NOUN
cana-4843	232	12	to	to	PART
cana-4843	232	13	identify	identify	VERB
cana-4843	232	14	suspicious	suspicious	ADJ
cana-4843	232	15	activities	activity	NOUN
cana-4843	232	16	,	,	PUNCT
cana-4843	232	17	such	such	ADJ
cana-4843	232	18	as	as	ADP
cana-4843	232	19	botnet	botnet	NOUN
cana-4843	232	20	communications	communication	NOUN
cana-4843	232	21	or	or	CCONJ
cana-4843	232	22	data	data	NOUN
cana-4843	232	23	exfiltration	exfiltration	NOUN
cana-4843	232	24	via	via	ADP
cana-4843	232	25	dns	dns	NOUN
cana-4843	232	26	tunneling	tunneling	NOUN
cana-4843	232	27	.	.	PUNCT
cana-4843	233	1	traditional	traditional	ADJ
cana-4843	233	2	dns	dns	NOUN
cana-4843	233	3	is	be	AUX
cana-4843	233	4	susceptible	susceptible	ADJ
cana-4843	233	5	to	to	ADP
cana-4843	233	6	eavesdropping	eavesdropping	NOUN
cana-4843	233	7	and	and	CCONJ
cana-4843	233	8	user	user	NOUN
cana-4843	233	9	profiling	profiling	NOUN
cana-4843	233	10	because	because	SCONJ
cana-4843	233	11	dns	dns	NOUN
cana-4843	233	12	queries	query	NOUN
cana-4843	233	13	are	be	AUX
cana-4843	233	14	visible	visible	ADJ
cana-4843	233	15	to	to	ADP
cana-4843	233	16	entities	entity	NOUN
cana-4843	233	17	along	along	ADP
cana-4843	233	18	the	the	DET
cana-4843	233	19	communication	communication	NOUN
cana-4843	233	20	path	path	NOUN
cana-4843	233	21	,	,	PUNCT
cana-4843	233	22	such	such	ADJ
cana-4843	233	23	as	as	ADP
cana-4843	233	24	isps	isps	NOUN
cana-4843	233	25	.	.	PUNCT
cana-4843	234	1	this	this	DET
cana-4843	234	2	visibility	visibility	NOUN
cana-4843	234	3	can	can	AUX
cana-4843	234	4	reveal	reveal	VERB
cana-4843	234	5	users	user	NOUN
cana-4843	234	6	'	'	PART
cana-4843	234	7	online	online	ADJ
cana-4843	234	8	activities	activity	NOUN
cana-4843	234	9	,	,	PUNCT
cana-4843	234	10	raising	raise	VERB
cana-4843	234	11	privacy	privacy	NOUN
cana-4843	234	12	concerns	concern	NOUN
cana-4843	234	13	.	.	PUNCT
cana-4843	235	1	doh	doh	PROPN
cana-4843	235	2	changes	change	VERB
cana-4843	235	3	the	the	DET
cana-4843	235	4	dynamics	dynamic	NOUN
cana-4843	235	5	of	of	ADP
cana-4843	235	6	dns	dns	NOUN
cana-4843	235	7	traffic	traffic	NOUN
cana-4843	235	8	visibility	visibility	NOUN
cana-4843	235	9	,	,	PUNCT
cana-4843	235	10	moving	move	VERB
cana-4843	235	11	it	it	PRON
cana-4843	235	12	from	from	ADP
cana-4843	235	13	local	local	ADJ
cana-4843	235	14	dns	dns	NOUN
cana-4843	235	15	providers	provider	NOUN
cana-4843	235	16	to	to	ADP
cana-4843	235	17	centralized	centralized	ADJ
cana-4843	235	18	doh	doh	NOUN
cana-4843	235	19	providers	provider	NOUN
cana-4843	235	20	.	.	PUNCT
cana-4843	236	1	while	while	SCONJ
cana-4843	236	2	this	this	PRON
cana-4843	236	3	improves	improve	VERB
cana-4843	236	4	user	user	NOUN
cana-4843	236	5	privacy	privacy	NOUN
cana-4843	236	6	,	,	PUNCT
cana-4843	236	7	it	it	PRON
cana-4843	236	8	also	also	ADV
cana-4843	236	9	raises	raise	VERB
cana-4843	236	10	concerns	concern	NOUN
cana-4843	236	11	about	about	ADP
cana-4843	236	12	the	the	DET
cana-4843	236	13	concentration	concentration	NOUN
cana-4843	236	14	of	of	ADP
cana-4843	236	15	data	datum	NOUN
cana-4843	236	16	with	with	ADP
cana-4843	236	17	fewer	few	ADJ
cana-4843	236	18	providers	provider	NOUN
cana-4843	236	19	.	.	PUNCT
cana-4843	237	1	advanced	advanced	ADJ
cana-4843	237	2	intrusion	intrusion	NOUN
cana-4843	237	3	detection	detection	NOUN
cana-4843	237	4	systems	system	NOUN
cana-4843	237	5	,	,	PUNCT
cana-4843	237	6	such	such	ADJ
cana-4843	237	7	as	as	ADP
cana-4843	237	8	the	the	DET
cana-4843	237	9	two	two	NUM
cana-4843	237	10	-	-	PUNCT
cana-4843	237	11	layered	layer	VERB
cana-4843	237	12	approach	approach	NOUN
cana-4843	237	13	using	use	VERB
cana-4843	237	14	the	the	DET
cana-4843	237	15	random	random	ADJ
cana-4843	237	16	forest	forest	NOUN
cana-4843	237	17	ensemble	ensemble	ADJ
cana-4843	237	18	classifier	classifier	NOUN
cana-4843	237	19	,	,	PUNCT
cana-4843	237	20	are	be	AUX
cana-4843	237	21	effective	effective	ADJ
cana-4843	237	22	in	in	ADP
cana-4843	237	23	distinguishing	distinguish	VERB
cana-4843	237	24	between	between	ADP
cana-4843	237	25	benign	benign	ADJ
cana-4843	237	26	and	and	CCONJ
cana-4843	237	27	malicious	malicious	ADJ
cana-4843	237	28	doh	doh	NOUN
cana-4843	237	29	traffic	traffic	NOUN
cana-4843	237	30	.	.	PUNCT
cana-4843	238	1	these	these	DET
cana-4843	238	2	systems	system	NOUN
cana-4843	238	3	also	also	ADV
cana-4843	238	4	excel	excel	VERB
cana-4843	238	5	in	in	ADP
cana-4843	238	6	identifying	identify	VERB
cana-4843	238	7	non	non	ADJ
cana-4843	238	8	-	-	ADJ
cana-4843	238	9	doh	doh	ADJ
cana-4843	238	10	traffic	traffic	NOUN
cana-4843	238	11	,	,	PUNCT
cana-4843	238	12	improving	improve	VERB
cana-4843	238	13	network	network	NOUN
cana-4843	238	14	security	security	NOUN
cana-4843	238	15	.	.	PUNCT
cana-4843	239	1	the	the	DET
cana-4843	239	2	development	development	NOUN
cana-4843	239	3	of	of	ADP
cana-4843	239	4	doh	doh	PROPN
cana-4843	239	5	exemplifies	exemplify	VERB
cana-4843	239	6	the	the	DET
cana-4843	239	7	balance	balance	NOUN
cana-4843	239	8	between	between	ADP
cana-4843	239	9	enhancing	enhance	VERB
cana-4843	239	10	user	user	NOUN
cana-4843	239	11	privacy	privacy	NOUN
cana-4843	239	12	and	and	CCONJ
cana-4843	239	13	addressing	address	VERB
cana-4843	239	14	security	security	NOUN
cana-4843	239	15	concerns	concern	NOUN
cana-4843	239	16	.	.	PUNCT
cana-4843	240	1	however	however	ADV
cana-4843	240	2	,	,	PUNCT
cana-4843	240	3	it	it	PRON
cana-4843	240	4	also	also	ADV
cana-4843	240	5	underscores	underscore	VERB
cana-4843	240	6	the	the	DET
cana-4843	240	7	need	need	NOUN
cana-4843	240	8	for	for	ADP
cana-4843	240	9	vigilance	vigilance	NOUN
cana-4843	240	10	to	to	PART
cana-4843	240	11	ensure	ensure	VERB
cana-4843	240	12	that	that	SCONJ
cana-4843	240	13	centralization	centralization	NOUN
cana-4843	240	14	and	and	CCONJ
cana-4843	240	15	encryption	encryption	NOUN
cana-4843	240	16	do	do	AUX
cana-4843	240	17	not	not	PART
cana-4843	240	18	become	become	VERB
cana-4843	240	19	tools	tool	NOUN
cana-4843	240	20	for	for	ADP
cana-4843	240	21	malicious	malicious	ADJ
cana-4843	240	22	actors	actor	NOUN
cana-4843	240	23	.	.	PUNCT
cana-4843	241	1	references	reference	NOUN
cana-4843	241	2	[	[	X
cana-4843	241	3	1	1	NUM
cana-4843	241	4	]	]	X
cana-4843	241	5	p.	p.	NOUN
cana-4843	241	6	mockapetris	mockapetris	PROPN
cana-4843	241	7	,	,	PUNCT
cana-4843	241	8	“	"	PUNCT
cana-4843	241	9	domain	domain	NOUN
cana-4843	241	10	names	name	NOUN
cana-4843	241	11	concepts	concept	NOUN
cana-4843	241	12	and	and	CCONJ
cana-4843	241	13	facilities	facility	NOUN
cana-4843	241	14	,	,	PUNCT
cana-4843	241	15	”	"	PUNCT
cana-4843	241	16	rfc	rfc	PROPN
cana-4843	241	17	1034	1034	NUM
cana-4843	241	18	(	(	PUNCT
cana-4843	241	19	standard	standard	NOUN
cana-4843	241	20	)	)	PUNCT
cana-4843	241	21	,	,	PUNCT
cana-4843	241	22	internet	internet	NOUN
cana-4843	241	23	engineering	engineering	NOUN
cana-4843	241	24	task	task	PROPN
cana-4843	241	25	force	force	NOUN
cana-4843	241	26	,	,	PUNCT
cana-4843	241	27	nov	nov	PROPN
cana-4843	241	28	.	.	PROPN
cana-4843	241	29	1987	1987	NUM
cana-4843	241	30	.	.	PUNCT
cana-4843	242	1	[	[	X
cana-4843	242	2	online	online	X
cana-4843	242	3	]	]	X
cana-4843	242	4	.	.	PUNCT
cana-4843	243	1	http://www.ietf.org/rfc/rfc1034.txt	http://www.ietf.org/rfc/rfc1034.txt	PROPN
cana-4843	243	2	communications	communication	NOUN
cana-4843	243	3	on	on	ADP
cana-4843	243	4	applied	apply	VERB
cana-4843	243	5	nonlinear	nonlinear	ADJ
cana-4843	243	6	analysis	analysis	NOUN
cana-4843	243	7	issn	issn	NOUN
cana-4843	243	8	:	:	PUNCT
cana-4843	243	9	1074	1074	NUM
cana-4843	243	10	-	-	PUNCT
cana-4843	243	11	133x	133x	NUM
cana-4843	243	12	vol	vol	VERB
cana-4843	243	13	32	32	NUM
cana-4843	243	14	no	no	NOUN
cana-4843	243	15	.	.	PUNCT
cana-4843	244	1	10s	10	NOUN
cana-4843	244	2	(	(	PUNCT
cana-4843	244	3	2025	2025	NUM
cana-4843	244	4	)	)	PUNCT
cana-4843	244	5	505	505	NUM
cana-4843	244	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-4843	245	1	[	[	X
cana-4843	245	2	2	2	NUM
cana-4843	245	3	]	]	X
cana-4843	245	4	paul	paul	PROPN
cana-4843	245	5	mockapetris	mockapetris	PROPN
cana-4843	245	6	.	.	PUNCT
cana-4843	246	1	1987	1987	NUM
cana-4843	246	2	.	.	PUNCT
cana-4843	247	1	domain	domain	NOUN
cana-4843	247	2	names	name	NOUN
cana-4843	247	3	implementation	implementation	NOUN
cana-4843	247	4	and	and	CCONJ
cana-4843	247	5	specification	specification	NOUN
cana-4843	247	6	,	,	PUNCT
cana-4843	247	7	”	"	PUNCT
cana-4843	247	8	rfc	rfc	PROPN
cana-4843	247	9	1035	1035	NUM
cana-4843	247	10	(	(	PUNCT
cana-4843	247	11	standard	standard	NOUN
cana-4843	247	12	)	)	PUNCT
cana-4843	247	13	,	,	PUNCT
cana-4843	247	14	internet	internet	NOUN
cana-4843	247	15	engineering	engineering	NOUN
cana-4843	247	16	task	task	PROPN
cana-4843	247	17	force	force	NOUN
cana-4843	247	18	,	,	PUNCT
cana-4843	247	19	nov	nov	PROPN
cana-4843	247	20	.	.	PROPN
cana-4843	247	21	1987	1987	NUM
cana-4843	247	22	.	.	PUNCT
cana-4843	248	1	[	[	X
cana-4843	248	2	online	online	X
cana-4843	248	3	]	]	X
cana-4843	248	4	.	.	PUNCT
cana-4843	249	1	http://www.ietf.org/rfc/rfc1035.txt	http://www.ietf.org/rfc/rfc1035.txt	VERB
cana-4843	249	2	.	.	PUNCT
cana-4843	250	1	[	[	X
cana-4843	250	2	3	3	X
cana-4843	250	3	]	]	X
cana-4843	250	4	cejka	cejka	PROPN
cana-4843	250	5	,	,	PUNCT
cana-4843	250	6	z.	z.	PROPN
cana-4843	250	7	rosa	rosa	PROPN
cana-4843	250	8	and	and	CCONJ
cana-4843	250	9	h.	h.	PROPN
cana-4843	250	10	kubatova	kubatova	PROPN
cana-4843	250	11	,	,	PUNCT
cana-4843	250	12	"	"	PUNCT
cana-4843	250	13	stream	stream	NOUN
cana-4843	250	14	-	-	PUNCT
cana-4843	250	15	wise	wise	ADJ
cana-4843	250	16	detection	detection	NOUN
cana-4843	250	17	of	of	ADP
cana-4843	250	18	surreptitious	surreptitious	ADJ
cana-4843	250	19	traffic	traffic	NOUN
cana-4843	250	20	over	over	ADP
cana-4843	250	21	dns	dns	NOUN
cana-4843	250	22	,	,	PUNCT
cana-4843	250	23	"	"	PUNCT
cana-4843	250	24	2014	2014	NUM
cana-4843	250	25	ieee	ieee	PROPN
cana-4843	250	26	19th	19th	ADJ
cana-4843	250	27	international	international	ADJ
cana-4843	250	28	workshop	workshop	NOUN
cana-4843	250	29	on	on	ADP
cana-4843	250	30	computer	computer	NOUN
cana-4843	250	31	aided	aid	VERB
cana-4843	250	32	modeling	modeling	NOUN
cana-4843	250	33	and	and	CCONJ
cana-4843	250	34	design	design	NOUN
cana-4843	250	35	of	of	ADP
cana-4843	250	36	communication	communication	NOUN
cana-4843	250	37	links	link	NOUN
cana-4843	250	38	and	and	CCONJ
cana-4843	250	39	networks	network	NOUN
cana-4843	250	40	(	(	PUNCT
cana-4843	250	41	camad	camad	NOUN
cana-4843	250	42	)	)	PUNCT
cana-4843	250	43	,	,	PUNCT
cana-4843	250	44	athens	athens	PROPN
cana-4843	250	45	,	,	PUNCT
cana-4843	250	46	greece	greece	PROPN
cana-4843	250	47	,	,	PUNCT
cana-4843	250	48	2014	2014	NUM
cana-4843	250	49	,	,	PUNCT
cana-4843	250	50	pp	pp	ADJ
cana-4843	250	51	.	.	PUNCT
cana-4843	251	1	300	300	NUM
cana-4843	251	2	-	-	SYM
cana-4843	251	3	304	304	NUM
cana-4843	251	4	,	,	PUNCT
cana-4843	251	5	doi	doi	NOUN
cana-4843	251	6	:	:	PUNCT
cana-4843	251	7	10.1109	10.1109	NUM
cana-4843	251	8	/	/	SYM
cana-4843	251	9	camad.2014.7033254	camad.2014.7033254	NOUN
cana-4843	251	10	.	.	PUNCT
cana-4843	252	1	[	[	X
cana-4843	252	2	4	4	NUM
cana-4843	252	3	]	]	PUNCT
cana-4843	252	4	yury	yury	PROPN
cana-4843	252	5	zhauniarovich	zhauniarovich	PROPN
cana-4843	252	6	,	,	PUNCT
cana-4843	252	7	issa	issa	PROPN
cana-4843	252	8	khalil	khalil	PROPN
cana-4843	252	9	,	,	PUNCT
cana-4843	252	10	ting	ting	PROPN
cana-4843	252	11	yu	yu	PROPN
cana-4843	252	12	,	,	PUNCT
cana-4843	252	13	and	and	CCONJ
cana-4843	252	14	marc	marc	PROPN
cana-4843	252	15	dacier	dacier	ADJ
cana-4843	252	16	“	"	PUNCT
cana-4843	252	17	survey	survey	NOUN
cana-4843	252	18	on	on	ADP
cana-4843	252	19	malicious	malicious	ADJ
cana-4843	252	20	domains	domain	NOUN
cana-4843	252	21	detection	detection	NOUN
cana-4843	252	22	through	through	ADP
cana-4843	252	23	dns	dns	NOUN
cana-4843	252	24	data	datum	NOUN
cana-4843	252	25	analysis	analysis	NOUN
cana-4843	252	26	”	"	PUNCT
cana-4843	252	27	acm	acm	PROPN
cana-4843	252	28	comput	comput	NOUN
cana-4843	252	29	.	.	PUNCT
cana-4843	253	1	surv	surv	PROPN
cana-4843	253	2	.	.	PUNCT
cana-4843	254	1	july	july	PROPN
cana-4843	254	2	2018	2018	NUM
cana-4843	254	3	,	,	PUNCT
cana-4843	254	4	article	article	NOUN
cana-4843	254	5	67	67	NUM
cana-4843	254	6	36	36	NUM
cana-4843	254	7	pages	page	NOUN
cana-4843	254	8	.	.	PUNCT
cana-4843	254	9	doi:10.1145/3191329	doi:10.1145/3191329	PUNCT
cana-4843	255	1	[	[	X
cana-4843	255	2	5	5	NUM
cana-4843	255	3	]	]	X
cana-4843	255	4	mahmoud	mahmoud	PROPN
cana-4843	255	5	sammour	sammour	PROPN
cana-4843	255	6	1	1	NUM
cana-4843	255	7	,	,	PUNCT
cana-4843	255	8	burairah	burairah	PROPN
cana-4843	255	9	hussin	hussin	PROPN
cana-4843	255	10	2	2	NUM
cana-4843	255	11	,	,	PUNCT
cana-4843	255	12	mohd	mohd	PROPN
cana-4843	255	13	fairuz	fairuz	PROPN
cana-4843	255	14	iskandar	iskandar	PROPN
cana-4843	255	15	othman	othman	PROPN
cana-4843	255	16	“	"	PUNCT
cana-4843	255	17	dns	dns	NOUN
cana-4843	255	18	tunneling	tunneling	NOUN
cana-4843	255	19	:	:	PUNCT
cana-4843	255	20	a	a	DET
cana-4843	255	21	review	review	NOUN
cana-4843	255	22	on	on	ADP
cana-4843	255	23	features	feature	NOUN
cana-4843	255	24	”	"	PUNCT
cana-4843	255	25	international	international	ADJ
cana-4843	255	26	journal	journal	NOUN
cana-4843	255	27	of	of	ADP
cana-4843	255	28	engineering	engineering	PROPN
cana-4843	255	29	&	&	CCONJ
cana-4843	255	30	technology	technology	PROPN
cana-4843	255	31	,	,	PUNCT
cana-4843	255	32	july,2018	july,2018	PROPN
cana-4843	255	33	.	.	PUNCT
cana-4843	256	1	page	page	NOUN
cana-4843	256	2	1	1	NUM
cana-4843	256	3	-	-	SYM
cana-4843	256	4	5	5	NUM
cana-4843	256	5	.	.	PUNCT
cana-4843	256	6	doi:10.14419	doi:10.14419	PROPN
cana-4843	256	7	/	/	SYM
cana-4843	256	8	ijet.v7i3.20.17266	ijet.v7i3.20.17266	PROPN
cana-4843	256	9	.	.	PUNCT
cana-4843	257	1	[	[	X
cana-4843	257	2	6	6	NUM
cana-4843	257	3	]	]	X
cana-4843	257	4	olivier	olivier	PROPN
cana-4843	257	5	van	van	PROPN
cana-4843	257	6	der	der	PROPN
cana-4843	257	7	toorn	toorn	PROPN
cana-4843	257	8	,	,	PUNCT
cana-4843	257	9	moritz	moritz	PROPN
cana-4843	257	10	müller	müller	PROPN
cana-4843	257	11	,	,	PUNCT
cana-4843	257	12	sara	sara	PROPN
cana-4843	257	13	dickinson	dickinson	PROPN
cana-4843	257	14	,	,	PUNCT
cana-4843	257	15	cristian	cristian	PROPN
cana-4843	257	16	hesselman	hesselman	NOUN
cana-4843	257	17	,	,	PUNCT
cana-4843	257	18	anna	anna	PROPN
cana-4843	257	19	sperotto	sperotto	PROPN
cana-4843	257	20	,	,	PUNCT
cana-4843	257	21	roland	roland	PROPN
cana-4843	257	22	van	van	PROPN
cana-4843	257	23	rijswijk	rijswijk	NOUN
cana-4843	257	24	-	-	PUNCT
cana-4843	257	25	deij	deij	NOUN
cana-4843	257	26	,	,	PUNCT
cana-4843	257	27	addressing	address	VERB
cana-4843	257	28	the	the	DET
cana-4843	257	29	challenges	challenge	NOUN
cana-4843	257	30	of	of	ADP
cana-4843	257	31	modern	modern	ADJ
cana-4843	257	32	dns	dns	NOUN
cana-4843	257	33	a	a	DET
cana-4843	257	34	comprehensive	comprehensive	ADJ
cana-4843	257	35	tutorial	tutorial	NOUN
cana-4843	257	36	,	,	PUNCT
cana-4843	257	37	computer	computer	NOUN
cana-4843	257	38	science	science	NOUN
cana-4843	257	39	review	review	PROPN
cana-4843	257	40	,	,	PUNCT
cana-4843	257	41	volume	volume	NOUN
cana-4843	257	42	45	45	NUM
cana-4843	257	43	,	,	PUNCT
cana-4843	257	44	2022	2022	NUM
cana-4843	257	45	.	.	PUNCT
cana-4843	258	1	[	[	X
cana-4843	258	2	7	7	X
cana-4843	258	3	]	]	X
cana-4843	258	4	paul	paul	PROPN
cana-4843	258	5	e.	e.	PROPN
cana-4843	258	6	hoffman	hoffman	PROPN
cana-4843	258	7	and	and	CCONJ
cana-4843	258	8	patrick	patrick	PROPN
cana-4843	258	9	mcmanus	mcmanus	PROPN
cana-4843	258	10	.	.	PROPN
cana-4843	258	11	2018	2018	NUM
cana-4843	258	12	.	.	PUNCT
cana-4843	259	1	dns	dns	NOUN
cana-4843	259	2	queries	query	VERB
cana-4843	259	3	over	over	ADP
cana-4843	259	4	https	https	NOUN
cana-4843	259	5	(	(	PUNCT
cana-4843	259	6	doh	doh	NOUN
cana-4843	259	7	)	)	PUNCT
cana-4843	259	8	.	.	PUNCT
cana-4843	260	1	technical	technical	ADJ
cana-4843	260	2	report	report	PROPN
cana-4843	260	3	8484	8484	NUM
cana-4843	260	4	.	.	PUNCT
cana-4843	261	1	https://doi.org/10.17487/rfc8484	https://doi.org/10.17487/rfc8484	NOUN
cana-4843	261	2	.	.	PUNCT
cana-4843	262	1	[	[	X
cana-4843	262	2	8	8	NUM
cana-4843	262	3	]	]	X
cana-4843	262	4	ben	ben	PROPN
cana-4843	262	5	dickson	dickson	PROPN
cana-4843	262	6	.	.	PROPN
cana-4843	263	1	2019	2019	NUM
cana-4843	263	2	.	.	PUNCT
cana-4843	264	1	does	do	AUX
cana-4843	264	2	google	google	PROPN
cana-4843	264	3	chrome	chrome	PROPN
cana-4843	264	4	’s	’s	PART
cana-4843	264	5	dns	dns	NOUN
cana-4843	264	6	-	-	PUNCT
cana-4843	264	7	over	over	ADP
cana-4843	264	8	-	-	PUNCT
cana-4843	264	9	https	https	NOUN
cana-4843	264	10	(	(	PUNCT
cana-4843	264	11	doh	doh	NOUN
cana-4843	264	12	)	)	PUNCT
cana-4843	264	13	feature	feature	NOUN
cana-4843	264	14	enhance	enhance	VERB
cana-4843	264	15	your	your	PRON
cana-4843	264	16	privacy	privacy	NOUN
cana-4843	264	17	.	.	PUNCT
cana-4843	265	1	https://bdtechtalks.com/2019/12/11/	https://bdtechtalks.com/2019/12/11/	X
cana-4843	265	2	google	google	NOUN
cana-4843	265	3	-	-	PUNCT
cana-4843	265	4	chrome	chrome	NOUN
cana-4843	265	5	-	-	PUNCT
cana-4843	265	6	dns	dns	NOUN
cana-4843	265	7	-	-	PUNCT
cana-4843	265	8	over	over	ADP
cana-4843	265	9	-	-	PUNCT
cana-4843	265	10	https	https	NOUN
cana-4843	265	11	-	-	PUNCT
cana-4843	265	12	privacy/.	privacy/.	NOUN
cana-4843	265	13	[	[	X
cana-4843	265	14	9	9	NUM
cana-4843	265	15	]	]	X
cana-4843	265	16	jalalzai	jalalzai	PROPN
cana-4843	265	17	mh	mh	PROPN
cana-4843	265	18	,	,	PUNCT
cana-4843	265	19	shahid	shahid	PROPN
cana-4843	265	20	wb	wb	PROPN
cana-4843	265	21	,	,	PUNCT
cana-4843	265	22	iqbal	iqbal	PROPN
cana-4843	265	23	mmw	mmw	PROPN
cana-4843	265	24	(	(	PUNCT
cana-4843	265	25	2015	2015	NUM
cana-4843	265	26	)	)	PUNCT
cana-4843	265	27	dns	dns	NOUN
cana-4843	265	28	security	security	NOUN
cana-4843	265	29	challenges	challenge	NOUN
cana-4843	265	30	and	and	CCONJ
cana-4843	265	31	best	good	ADJ
cana-4843	265	32	practices	practice	NOUN
cana-4843	265	33	to	to	PART
cana-4843	265	34	deploy	deploy	VERB
cana-4843	265	35	secure	secure	ADJ
cana-4843	265	36	dns	dns	NOUN
cana-4843	265	37	with	with	ADP
cana-4843	265	38	digital	digital	ADJ
cana-4843	265	39	signatures	signature	NOUN
cana-4843	265	40	,	,	PUNCT
cana-4843	265	41	in	in	ADP
cana-4843	265	42	2015	2015	NUM
cana-4843	265	43	12th	12th	NOUN
cana-4843	265	44	international	international	ADJ
cana-4843	265	45	bhurban	bhurban	ADJ
cana-4843	265	46	conference	conference	NOUN
cana-4843	265	47	on	on	ADP
cana-4843	265	48	applied	apply	VERB
cana-4843	265	49	sciences	science	NOUN
cana-4843	265	50	and	and	CCONJ
cana-4843	265	51	technology	technology	NOUN
cana-4843	265	52	(	(	PUNCT
cana-4843	265	53	ibcast	ibcast	NOUN
cana-4843	265	54	)	)	PUNCT
cana-4843	265	55	,	,	PUNCT
cana-4843	265	56	pp	pp	ADJ
cana-4843	265	57	.	.	PUNCT
cana-4843	266	1	280–285	280–285	NUM
cana-4843	266	2	.	.	PUNCT
cana-4843	267	1	doi	doi	NOUN
cana-4843	267	2	:	:	PUNCT
cana-4843	267	3	10.1109	10.1109	NUM
cana-4843	267	4	/	/	SYM
cana-4843	267	5	ibcast.2015.7058517	ibcast.2015.7058517	NOUN
cana-4843	267	6	.	.	PUNCT
cana-4843	268	1	[	[	X
cana-4843	268	2	10	10	NUM
cana-4843	268	3	]	]	PUNCT
cana-4843	268	4	z.	z.	PROPN
cana-4843	268	5	azam	azam	PROPN
cana-4843	268	6	,	,	PUNCT
cana-4843	268	7	m.	m.	NOUN
cana-4843	268	8	m.	m.	PROPN
cana-4843	268	9	islam	islam	PROPN
cana-4843	268	10	and	and	CCONJ
cana-4843	268	11	m.	m.	PROPN
cana-4843	268	12	n.	n.	PROPN
cana-4843	268	13	huda	huda	PROPN
cana-4843	268	14	,	,	PUNCT
cana-4843	268	15	"	"	PUNCT
cana-4843	268	16	comparative	comparative	ADJ
cana-4843	268	17	analysis	analysis	NOUN
cana-4843	268	18	of	of	ADP
cana-4843	268	19	intrusion	intrusion	NOUN
cana-4843	268	20	detection	detection	NOUN
cana-4843	268	21	systems	system	NOUN
cana-4843	268	22	and	and	CCONJ
cana-4843	268	23	machine	machine	NOUN
cana-4843	268	24	learning	learning	NOUN
cana-4843	268	25	-	-	PUNCT
cana-4843	268	26	based	base	VERB
cana-4843	268	27	model	model	NOUN
cana-4843	268	28	analysis	analysis	NOUN
cana-4843	268	29	through	through	ADP
cana-4843	268	30	decision	decision	NOUN
cana-4843	268	31	tree	tree	NOUN
cana-4843	268	32	,	,	PUNCT
cana-4843	268	33	"	"	PUNCT
cana-4843	268	34	in	in	ADP
cana-4843	268	35	ieee	ieee	NOUN
cana-4843	268	36	access	access	NOUN
cana-4843	268	37	,	,	PUNCT
cana-4843	268	38	vol	vol	NOUN
cana-4843	268	39	.	.	PROPN
cana-4843	268	40	11	11	NUM
cana-4843	268	41	,	,	PUNCT
cana-4843	268	42	pp	pp	ADJ
cana-4843	268	43	.	.	PUNCT
cana-4843	268	44	80348	80348	NUM
cana-4843	268	45	-	-	SYM
cana-4843	268	46	80391	80391	NUM
cana-4843	268	47	,	,	PUNCT
cana-4843	268	48	2023	2023	NUM
cana-4843	268	49	,	,	PUNCT
cana-4843	268	50	doi	doi	NOUN
cana-4843	268	51	:	:	PUNCT
cana-4843	268	52	10.1109	10.1109	NUM
cana-4843	268	53	/	/	SYM
cana-4843	268	54	access.2023.3296444	access.2023.3296444	ADJ
cana-4843	268	55	.	.	PUNCT
cana-4843	269	1	[	[	X
cana-4843	269	2	11	11	NUM
cana-4843	269	3	]	]	X
cana-4843	269	4	caiwu	caiwu	NOUN
cana-4843	269	5	lu	lu	PROPN
cana-4843	269	6	yunxiang	yunxiang	PROPN
cana-4843	269	7	cao	cao	PROPN
cana-4843	269	8	and	and	CCONJ
cana-4843	269	9	zebin	zebin	PROPN
cana-4843	269	10	wang	wang	PROPN
cana-4843	269	11	“	"	PUNCT
cana-4843	269	12	research	research	NOUN
cana-4843	269	13	on	on	ADP
cana-4843	269	14	intrusion	intrusion	NOUN
cana-4843	269	15	detection	detection	NOUN
cana-4843	269	16	based	base	VERB
cana-4843	269	17	on	on	ADP
cana-4843	269	18	an	an	DET
cana-4843	269	19	enhanced	enhance	VERB
cana-4843	269	20	random	random	ADJ
cana-4843	269	21	forest	forest	NOUN
cana-4843	269	22	algorithm	algorithm	NOUN
cana-4843	269	23	”	"	PUNCT
cana-4843	269	24	,	,	PUNCT
cana-4843	269	25	appl	appl	PROPN
cana-4843	269	26	.	.	PUNCT
cana-4843	270	1	sci	sci	PROPN
cana-4843	270	2	.	.	PROPN
cana-4843	270	3	2024	2024	NUM
cana-4843	270	4	,	,	PUNCT
cana-4843	270	5	14(2	14(2	NUM
cana-4843	270	6	)	)	PUNCT
cana-4843	270	7	,	,	PUNCT
cana-4843	270	8	714	714	NUM
cana-4843	270	9	.	.	PUNCT
cana-4843	270	10	doi.org/10.3390/app14020714	doi.org/10.3390/app14020714	PROPN
cana-4843	270	11	.	.	PUNCT