id	sid	tid	token	lemma	pos
cana-3282	1	1	communications	communication	NOUN
cana-3282	1	2	on	on	ADP
cana-3282	1	3	applied	apply	VERB
cana-3282	1	4	nonlinear	nonlinear	ADJ
cana-3282	1	5	analysis	analysis	NOUN
cana-3282	1	6	issn	issn	NOUN
cana-3282	1	7	:	:	PUNCT
cana-3282	1	8	1074	1074	NUM
cana-3282	1	9	-	-	PUNCT
cana-3282	1	10	133x	133x	NUM
cana-3282	1	11	vol	vol	NOUN
cana-3282	1	12	32	32	NUM
cana-3282	1	13	no	no	NOUN
cana-3282	1	14	.	.	PUNCT
cana-3282	2	1	6s	6s	NUM
cana-3282	2	2	(	(	PUNCT
cana-3282	2	3	2025	2025	NUM
cana-3282	2	4	)	)	PUNCT
cana-3282	2	5	151	151	NUM
cana-3282	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	2	7	automated	automate	VERB
cana-3282	2	8	phishing	phishe	VERB
cana-3282	2	9	detection	detection	NOUN
cana-3282	2	10	through	through	ADP
cana-3282	2	11	url	url	NOUN
cana-3282	2	12	analysis	analysis	NOUN
cana-3282	2	13	and	and	CCONJ
cana-3282	2	14	machine	machine	NOUN
cana-3282	2	15	learning	learning	NOUN
cana-3282	2	16	vijaykumar1	vijaykumar1	PROPN
cana-3282	2	17	,	,	PUNCT
cana-3282	2	18	basavaraj	basavaraj	VERB
cana-3282	2	19	g	g	PROPN
cana-3282	2	20	n2	n2	PROPN
cana-3282	2	21	,	,	PUNCT
cana-3282	2	22	mohan	mohan	PROPN
cana-3282	2	23	bangalore	bangalore	PROPN
cana-3282	2	24	anjaneyalu3	anjaneyalu3	PROPN
cana-3282	2	25	,	,	PUNCT
cana-3282	2	26	swetha	swetha	PROPN
cana-3282	2	27	m	m	PROPN
cana-3282	2	28	s4	s4	PROPN
cana-3282	2	29	,	,	PUNCT
cana-3282	2	30	e	e	X
cana-3282	2	31	g	g	NOUN
cana-3282	2	32	satish5	satish5	NOUN
cana-3282	2	33	1,2,3,4department	1,2,3,4department	NUM
cana-3282	2	34	of	of	ADP
cana-3282	2	35	information	information	NOUN
cana-3282	2	36	science	science	NOUN
cana-3282	2	37	,	,	PUNCT
cana-3282	2	38	bms	bms	PROPN
cana-3282	2	39	institute	institute	PROPN
cana-3282	2	40	of	of	ADP
cana-3282	2	41	technology	technology	NOUN
cana-3282	2	42	and	and	CCONJ
cana-3282	2	43	management	management	NOUN
cana-3282	2	44	,	,	PUNCT
cana-3282	2	45	bengaluru	bengaluru	PROPN
cana-3282	2	46	,	,	PUNCT
cana-3282	2	47	india	india	PROPN
cana-3282	2	48	5department	5department	NUM
cana-3282	2	49	of	of	ADP
cana-3282	2	50	computer	computer	NOUN
cana-3282	2	51	science	science	NOUN
cana-3282	2	52	and	and	CCONJ
cana-3282	2	53	engineering	engineering	NOUN
cana-3282	2	54	,	,	PUNCT
cana-3282	2	55	nitte	nitte	PROPN
cana-3282	2	56	meenakshi	meenakshi	PROPN
cana-3282	2	57	institute	institute	PROPN
cana-3282	2	58	of	of	ADP
cana-3282	2	59	technology	technology	PROPN
cana-3282	2	60	,	,	PUNCT
cana-3282	2	61	bangalore	bangalore	PROPN
cana-3282	2	62	,	,	PUNCT
cana-3282	2	63	india	india	PROPN
cana-3282	2	64	article	article	PROPN
cana-3282	2	65	history	history	NOUN
cana-3282	2	66	:	:	PUNCT
cana-3282	2	67	received	receive	VERB
cana-3282	2	68	:	:	PUNCT
cana-3282	2	69	17	17	NUM
cana-3282	2	70	-	-	SYM
cana-3282	2	71	10	10	NUM
cana-3282	2	72	-	-	PUNCT
cana-3282	2	73	2024	2024	NUM
cana-3282	2	74	revised	revise	VERB
cana-3282	2	75	:	:	PUNCT
cana-3282	2	76	01	01	NUM
cana-3282	2	77	-	-	SYM
cana-3282	2	78	12	12	NUM
cana-3282	2	79	-	-	PUNCT
cana-3282	2	80	2024	2024	NUM
cana-3282	2	81	accepted	accept	VERB
cana-3282	2	82	:	:	PUNCT
cana-3282	2	83	10	10	NUM
cana-3282	2	84	-	-	SYM
cana-3282	2	85	12	12	NUM
cana-3282	2	86	-	-	PUNCT
cana-3282	2	87	2024	2024	NUM
cana-3282	2	88	abstract	abstract	NOUN
cana-3282	2	89	:	:	PUNCT
cana-3282	2	90	phishing	phishe	VERB
cana-3282	2	91	attacks	attack	NOUN
cana-3282	2	92	are	be	AUX
cana-3282	2	93	categorized	categorize	VERB
cana-3282	2	94	as	as	ADP
cana-3282	2	95	one	one	NUM
cana-3282	2	96	of	of	ADP
cana-3282	2	97	the	the	DET
cana-3282	2	98	greatest	great	ADJ
cana-3282	2	99	threats	threat	NOUN
cana-3282	2	100	to	to	ADP
cana-3282	2	101	cybersecurity	cybersecurity	NOUN
cana-3282	2	102	.	.	PUNCT
cana-3282	3	1	threat	threat	NOUN
cana-3282	3	2	,	,	PUNCT
cana-3282	3	3	which	which	PRON
cana-3282	3	4	is	be	AUX
cana-3282	3	5	misinformation	misinformation	NOUN
cana-3282	3	6	to	to	PART
cana-3282	3	7	make	make	VERB
cana-3282	3	8	the	the	DET
cana-3282	3	9	user	user	NOUN
cana-3282	3	10	provide	provide	VERB
cana-3282	3	11	important	important	ADJ
cana-3282	3	12	and	and	CCONJ
cana-3282	3	13	personal	personal	ADJ
cana-3282	3	14	information	information	NOUN
cana-3282	3	15	via	via	ADP
cana-3282	3	16	fake	fake	ADJ
cana-3282	3	17	websites	website	NOUN
cana-3282	3	18	or	or	CCONJ
cana-3282	3	19	emails	email	NOUN
cana-3282	3	20	.	.	PUNCT
cana-3282	4	1	this	this	DET
cana-3282	4	2	paper	paper	NOUN
cana-3282	4	3	also	also	ADV
cana-3282	4	4	realizes	realize	VERB
cana-3282	4	5	the	the	DET
cana-3282	4	6	notion	notion	NOUN
cana-3282	4	7	of	of	ADP
cana-3282	4	8	a	a	DET
cana-3282	4	9	machine	machine	NOUN
cana-3282	4	10	phishing	phishe	VERB
cana-3282	4	11	detection	detection	NOUN
cana-3282	4	12	-	-	PUNCT
cana-3282	4	13	based	base	VERB
cana-3282	4	14	learning	learning	NOUN
cana-3282	4	15	tool	tool	NOUN
cana-3282	4	16	aimed	aim	VERB
cana-3282	4	17	at	at	ADP
cana-3282	4	18	classifying	classify	VERB
cana-3282	4	19	urls	url	NOUN
cana-3282	4	20	they	they	PRON
cana-3282	4	21	designated	designate	VERB
cana-3282	4	22	as	as	ADP
cana-3282	4	23	”	"	PUNCT
cana-3282	4	24	phishing	phishe	VERB
cana-3282	4	25	”	"	PUNCT
cana-3282	4	26	,	,	PUNCT
cana-3282	4	27	”	"	PUNCT
cana-3282	4	28	suspicious	suspicious	ADJ
cana-3282	4	29	,	,	PUNCT
cana-3282	4	30	”	"	PUNCT
cana-3282	4	31	or	or	CCONJ
cana-3282	4	32	”	"	PUNCT
cana-3282	4	33	safe	safe	ADJ
cana-3282	4	34	.	.	PUNCT
cana-3282	4	35	”	"	PUNCT
cana-3282	5	1	utilizing	utilize	VERB
cana-3282	5	2	a	a	DET
cana-3282	5	3	random	random	ADJ
cana-3282	5	4	forest	forest	NOUN
cana-3282	5	5	classifier	classifier	NOUN
cana-3282	5	6	,	,	PUNCT
cana-3282	5	7	the	the	DET
cana-3282	5	8	system	system	NOUN
cana-3282	5	9	examines	examine	VERB
cana-3282	5	10	url	url	NOUN
cana-3282	5	11	-	-	PUNCT
cana-3282	5	12	based	base	VERB
cana-3282	5	13	characteristics	characteristic	NOUN
cana-3282	5	14	inclusive	inclusive	NOUN
cana-3282	5	15	of	of	ADP
cana-3282	5	16	url	url	PROPN
cana-3282	5	17	.	.	PROPN
cana-3282	6	1	length	length	NOUN
cana-3282	6	2	,	,	PUNCT
cana-3282	6	3	special	special	ADJ
cana-3282	6	4	symbols	symbol	NOUN
cana-3282	6	5	,	,	PUNCT
cana-3282	6	6	and	and	CCONJ
cana-3282	6	7	the	the	DET
cana-3282	6	8	usage	usage	NOUN
cana-3282	6	9	of	of	ADP
cana-3282	6	10	https	https	NOUN
cana-3282	6	11	to	to	PART
cana-3282	6	12	distinguish	distinguish	VERB
cana-3282	6	13	between	between	ADP
cana-3282	6	14	real	real	ADJ
cana-3282	6	15	urls	url	NOUN
cana-3282	6	16	and	and	CCONJ
cana-3282	6	17	fake	fake	ADJ
cana-3282	6	18	ones	one	NOUN
cana-3282	6	19	(	(	PUNCT
cana-3282	6	20	or	or	CCONJ
cana-3282	6	21	phishing	phishe	VERB
cana-3282	6	22	urls	url	NOUN
cana-3282	6	23	)	)	PUNCT
cana-3282	6	24	with	with	ADP
cana-3282	6	25	high	high	ADJ
cana-3282	6	26	accuracy	accuracy	NOUN
cana-3282	6	27	.	.	PUNCT
cana-3282	7	1	the	the	DET
cana-3282	7	2	model	model	NOUN
cana-3282	7	3	was	be	AUX
cana-3282	7	4	trained	train	VERB
cana-3282	7	5	and	and	CCONJ
cana-3282	7	6	validated	validate	VERB
cana-3282	7	7	on	on	ADP
cana-3282	7	8	a	a	DET
cana-3282	7	9	given	give	VERB
cana-3282	7	10	dataset	dataset	NOUN
cana-3282	7	11	of	of	ADP
cana-3282	7	12	labeled	label	VERB
cana-3282	7	13	urls	url	NOUN
cana-3282	7	14	,	,	PUNCT
cana-3282	7	15	achieving	achieve	VERB
cana-3282	7	16	95.2	95.2	NUM
cana-3282	7	17	%	%	NOUN
cana-3282	7	18	accuracy	accuracy	NOUN
cana-3282	7	19	of	of	ADP
cana-3282	7	20	classification	classification	NOUN
cana-3282	7	21	higher	high	ADJ
cana-3282	7	22	compared	compare	VERB
cana-3282	7	23	to	to	ADP
cana-3282	7	24	other	other	ADJ
cana-3282	7	25	results	result	NOUN
cana-3282	7	26	.	.	PUNCT
cana-3282	8	1	for	for	ADP
cana-3282	8	2	the	the	DET
cana-3282	8	3	sake	sake	NOUN
cana-3282	8	4	of	of	ADP
cana-3282	8	5	usability	usability	NOUN
cana-3282	8	6	,	,	PUNCT
cana-3282	8	7	the	the	DET
cana-3282	8	8	detection	detection	NOUN
cana-3282	8	9	tool	tool	NOUN
cana-3282	8	10	is	be	AUX
cana-3282	8	11	implemented	implement	VERB
cana-3282	8	12	as	as	ADP
cana-3282	8	13	a	a	DET
cana-3282	8	14	web	web	NOUN
cana-3282	8	15	application	application	NOUN
cana-3282	8	16	for	for	ADP
cana-3282	8	17	real	real	ADJ
cana-3282	8	18	-	-	PUNCT
cana-3282	8	19	time	time	NOUN
cana-3282	8	20	classification	classification	NOUN
cana-3282	8	21	and	and	CCONJ
cana-3282	8	22	the	the	DET
cana-3282	8	23	results	result	NOUN
cana-3282	8	24	of	of	ADP
cana-3282	8	25	the	the	DET
cana-3282	8	26	classification	classification	NOUN
cana-3282	8	27	.	.	PUNCT
cana-3282	9	1	userfriendly	userfriendly	ADV
cana-3282	9	2	interface	interface	NOUN
cana-3282	9	3	.	.	PUNCT
cana-3282	10	1	this	this	PRON
cana-3282	10	2	is	be	AUX
cana-3282	10	3	because	because	SCONJ
cana-3282	10	4	the	the	DET
cana-3282	10	5	performance	performance	NOUN
cana-3282	10	6	and	and	CCONJ
cana-3282	10	7	metrics	metric	NOUN
cana-3282	10	8	such	such	ADJ
cana-3282	10	9	as	as	ADP
cana-3282	10	10	accuracy	accuracy	NOUN
cana-3282	10	11	and	and	CCONJ
cana-3282	10	12	speed	speed	NOUN
cana-3282	10	13	depend	depend	VERB
cana-3282	10	14	on	on	ADP
cana-3282	10	15	them	they	PRON
cana-3282	10	16	.	.	PUNCT
cana-3282	11	1	accuracy	accuracy	NOUN
cana-3282	11	2	by	by	ADP
cana-3282	11	3	using	use	VERB
cana-3282	11	4	measures	measure	NOUN
cana-3282	11	5	such	such	ADJ
cana-3282	11	6	as	as	ADP
cana-3282	11	7	precision	precision	NOUN
cana-3282	11	8	,	,	PUNCT
cana-3282	11	9	recall	recall	NOUN
cana-3282	11	10	,	,	PUNCT
cana-3282	11	11	and	and	CCONJ
cana-3282	11	12	f1	f1	NOUN
cana-3282	11	13	-	-	PUNCT
cana-3282	11	14	score	score	NOUN
cana-3282	11	15	.	.	PUNCT
cana-3282	12	1	effectiveness	effectiveness	NOUN
cana-3282	12	2	.	.	PUNCT
cana-3282	13	1	this	this	DET
cana-3282	13	2	paper	paper	NOUN
cana-3282	13	3	will	will	AUX
cana-3282	13	4	help	help	VERB
cana-3282	13	5	to	to	PART
cana-3282	13	6	improve	improve	VERB
cana-3282	13	7	the	the	DET
cana-3282	13	8	level	level	NOUN
cana-3282	13	9	of	of	ADP
cana-3282	13	10	online	online	ADJ
cana-3282	13	11	security	security	NOUN
cana-3282	13	12	.	.	PUNCT
cana-3282	14	1	in	in	ADP
cana-3282	14	2	an	an	DET
cana-3282	14	3	endeavor	endeavor	NOUN
cana-3282	14	4	to	to	PART
cana-3282	14	5	provide	provide	VERB
cana-3282	14	6	an	an	DET
cana-3282	14	7	automated	automate	VERB
cana-3282	14	8	approach	approach	NOUN
cana-3282	14	9	that	that	PRON
cana-3282	14	10	deprecates	deprecate	VERB
cana-3282	14	11	dependence	dependence	NOUN
cana-3282	14	12	on	on	ADP
cana-3282	14	13	minimizing	minimize	VERB
cana-3282	14	14	human	human	ADJ
cana-3282	14	15	judgment	judgment	NOUN
cana-3282	14	16	and	and	CCONJ
cana-3282	14	17	can	can	AUX
cana-3282	14	18	efficiently	efficiently	ADV
cana-3282	14	19	detect	detect	VERB
cana-3282	14	20	cases	case	NOUN
cana-3282	14	21	of	of	ADP
cana-3282	14	22	phishing	phishe	VERB
cana-3282	14	23	threats	threat	NOUN
cana-3282	14	24	.	.	PUNCT
cana-3282	15	1	keywords	keyword	NOUN
cana-3282	15	2	:	:	PUNCT
cana-3282	15	3	phishing	phishe	VERB
cana-3282	15	4	detection	detection	NOUN
cana-3282	15	5	,	,	PUNCT
cana-3282	15	6	machine	machine	NOUN
cana-3282	15	7	learning	learning	NOUN
cana-3282	15	8	,	,	PUNCT
cana-3282	15	9	url	url	VERB
cana-3282	15	10	classification	classification	NOUN
cana-3282	15	11	,	,	PUNCT
cana-3282	15	12	random	random	ADJ
cana-3282	15	13	forest	forest	NOUN
cana-3282	15	14	,	,	PUNCT
cana-3282	15	15	cybersecurity	cybersecurity	NOUN
cana-3282	15	16	,	,	PUNCT
cana-3282	15	17	real	real	ADJ
cana-3282	15	18	-	-	PUNCT
cana-3282	15	19	time	time	NOUN
cana-3282	15	20	detection	detection	NOUN
cana-3282	15	21	,	,	PUNCT
cana-3282	15	22	web	web	NOUN
cana-3282	15	23	application	application	NOUN
cana-3282	15	24	1	1	NUM
cana-3282	15	25	.	.	PUNCT
cana-3282	16	1	introduction	introduction	NOUN
cana-3282	16	2	as	as	SCONJ
cana-3282	16	3	the	the	DET
cana-3282	16	4	web	web	NOUN
cana-3282	16	5	has	have	AUX
cana-3282	16	6	placed	place	VERB
cana-3282	16	7	itself	itself	PRON
cana-3282	16	8	into	into	ADP
cana-3282	16	9	almost	almost	ADV
cana-3282	16	10	every	every	PRON
cana-3282	16	11	part	part	NOUN
cana-3282	16	12	of	of	ADP
cana-3282	16	13	life	life	NOUN
cana-3282	16	14	,	,	PUNCT
cana-3282	16	15	cybersecurity	cybersecurity	NOUN
cana-3282	16	16	is	be	AUX
cana-3282	16	17	becoming	become	VERB
cana-3282	16	18	an	an	DET
cana-3282	16	19	essential	essential	ADJ
cana-3282	16	20	basic	basic	ADJ
cana-3282	16	21	necessity	necessity	NOUN
cana-3282	16	22	for	for	ADP
cana-3282	16	23	everybody	everybody	PRON
cana-3282	16	24	,	,	PUNCT
cana-3282	16	25	businesses	business	NOUN
cana-3282	16	26	,	,	PUNCT
cana-3282	16	27	and	and	CCONJ
cana-3282	16	28	governments	government	NOUN
cana-3282	16	29	.	.	PUNCT
cana-3282	17	1	when	when	SCONJ
cana-3282	17	2	it	it	PRON
cana-3282	17	3	comes	come	VERB
cana-3282	17	4	to	to	ADP
cana-3282	17	5	using	use	VERB
cana-3282	17	6	the	the	DET
cana-3282	17	7	internet	internet	NOUN
cana-3282	17	8	for	for	ADP
cana-3282	17	9	transactions	transaction	NOUN
cana-3282	17	10	and	and	CCONJ
cana-3282	17	11	sharing	share	VERB
cana-3282	17	12	information	information	NOUN
cana-3282	17	13	,	,	PUNCT
cana-3282	17	14	and	and	CCONJ
cana-3282	17	15	when	when	SCONJ
cana-3282	17	16	it	it	PRON
cana-3282	17	17	comes	come	VERB
cana-3282	17	18	to	to	ADP
cana-3282	17	19	malicious	malicious	ADJ
cana-3282	17	20	use	use	NOUN
cana-3282	17	21	,	,	PUNCT
cana-3282	17	22	threats	threat	NOUN
cana-3282	17	23	,	,	PUNCT
cana-3282	17	24	specifically	specifically	ADV
cana-3282	17	25	phishing	phishe	VERB
cana-3282	17	26	,	,	PUNCT
cana-3282	17	27	are	be	AUX
cana-3282	17	28	more	more	ADV
cana-3282	17	29	advanced	advanced	ADJ
cana-3282	17	30	and	and	CCONJ
cana-3282	17	31	dangerous	dangerous	ADJ
cana-3282	17	32	.	.	PUNCT
cana-3282	18	1	this	this	DET
cana-3282	18	2	type	type	NOUN
cana-3282	18	3	of	of	ADP
cana-3282	18	4	attack	attack	NOUN
cana-3282	18	5	tricks	trick	VERB
cana-3282	18	6	users	user	NOUN
cana-3282	18	7	into	into	ADP
cana-3282	18	8	providing	provide	VERB
cana-3282	18	9	important	important	ADJ
cana-3282	18	10	information	information	NOUN
cana-3282	18	11	by	by	ADP
cana-3282	18	12	pretending	pretend	VERB
cana-3282	18	13	to	to	PART
cana-3282	18	14	originate	originate	VERB
cana-3282	18	15	from	from	ADP
cana-3282	18	16	a	a	DET
cana-3282	18	17	trusted	trust	VERB
cana-3282	18	18	source	source	NOUN
cana-3282	18	19	and	and	CCONJ
cana-3282	18	20	relies	rely	VERB
cana-3282	18	21	more	more	ADJ
cana-3282	18	22	on	on	ADP
cana-3282	18	23	the	the	DET
cana-3282	18	24	failures	failure	NOUN
cana-3282	18	25	of	of	ADP
cana-3282	18	26	human	human	ADJ
cana-3282	18	27	beings	being	NOUN
cana-3282	18	28	than	than	ADP
cana-3282	18	29	of	of	ADP
cana-3282	18	30	technology	technology	NOUN
cana-3282	18	31	.	.	PUNCT
cana-3282	19	1	this	this	DET
cana-3282	19	2	paper	paper	NOUN
cana-3282	19	3	kills	kill	VERB
cana-3282	19	4	phishing	phishe	VERB
cana-3282	19	5	through	through	ADP
cana-3282	19	6	the	the	DET
cana-3282	19	7	construction	construction	NOUN
cana-3282	19	8	of	of	ADP
cana-3282	19	9	an	an	DET
cana-3282	19	10	adaptive	adaptive	ADJ
cana-3282	19	11	online	online	ADJ
cana-3282	19	12	tool	tool	NOUN
cana-3282	19	13	based	base	VERB
cana-3282	19	14	on	on	ADP
cana-3282	19	15	machine	machine	NOUN
cana-3282	19	16	learning	learning	NOUN
cana-3282	19	17	that	that	PRON
cana-3282	19	18	categorizes	categorize	VERB
cana-3282	19	19	websites	website	NOUN
cana-3282	19	20	into	into	ADP
cana-3282	19	21	phishing	phishe	VERB
cana-3282	19	22	,	,	PUNCT
cana-3282	19	23	suspicious	suspicious	ADJ
cana-3282	19	24	,	,	PUNCT
cana-3282	19	25	and	and	CCONJ
cana-3282	19	26	safe	safe	ADJ
cana-3282	19	27	websites	website	NOUN
cana-3282	19	28	and	and	CCONJ
cana-3282	19	29	protects	protect	VERB
cana-3282	19	30	against	against	ADP
cana-3282	19	31	fast	fast	ADV
cana-3282	19	32	-	-	PUNCT
cana-3282	19	33	changing	change	VERB
cana-3282	19	34	threats	threat	NOUN
cana-3282	19	35	.	.	PUNCT
cana-3282	20	1	a.	a.	NOUN
cana-3282	20	2	motivation	motivation	NOUN
cana-3282	20	3	due	due	ADP
cana-3282	20	4	to	to	ADP
cana-3282	20	5	the	the	DET
cana-3282	20	6	high	high	ADJ
cana-3282	20	7	level	level	NOUN
cana-3282	20	8	and	and	CCONJ
cana-3282	20	9	frequency	frequency	NOUN
cana-3282	20	10	of	of	ADP
cana-3282	20	11	business	business	NOUN
cana-3282	20	12	phishing	phishing	NOUN
cana-3282	20	13	,	,	PUNCT
cana-3282	20	14	a	a	DET
cana-3282	20	15	number	number	NOUN
cana-3282	20	16	of	of	ADP
cana-3282	20	17	anti	anti	ADJ
cana-3282	20	18	-	-	ADJ
cana-3282	20	19	phishing	phishing	ADJ
cana-3282	20	20	tools	tool	NOUN
cana-3282	20	21	have	have	AUX
cana-3282	20	22	been	be	AUX
cana-3282	20	23	developed	develop	VERB
cana-3282	20	24	to	to	PART
cana-3282	20	25	be	be	AUX
cana-3282	20	26	based	base	VERB
cana-3282	20	27	on	on	ADP
cana-3282	20	28	ml	ml	ADP
cana-3282	20	29	.	.	PUNCT
cana-3282	21	1	in	in	ADP
cana-3282	21	2	contrast	contrast	NOUN
cana-3282	21	3	with	with	ADP
cana-3282	21	4	other	other	ADJ
cana-3282	21	5	approaches	approach	NOUN
cana-3282	21	6	,	,	PUNCT
cana-3282	21	7	the	the	DET
cana-3282	21	8	ml	ml	NOUN
cana-3282	21	9	models	model	NOUN
cana-3282	21	10	can	can	AUX
cana-3282	21	11	adaptively	adaptively	ADV
cana-3282	21	12	learn	learn	VERB
cana-3282	21	13	about	about	ADP
cana-3282	21	14	the	the	DET
cana-3282	21	15	features	feature	NOUN
cana-3282	21	16	peculiar	peculiar	ADJ
cana-3282	21	17	to	to	ADP
cana-3282	21	18	the	the	DET
cana-3282	21	19	real	real	ADJ
cana-3282	21	20	phishing	phishe	VERB
cana-3282	21	21	urls	url	NOUN
cana-3282	21	22	,	,	PUNCT
cana-3282	21	23	including	include	VERB
cana-3282	21	24	the	the	DET
cana-3282	21	25	url	url	NOUN
cana-3282	21	26	structure	structure	NOUN
cana-3282	21	27	,	,	PUNCT
cana-3282	21	28	domains	domain	NOUN
cana-3282	21	29	,	,	PUNCT
cana-3282	21	30	and	and	CCONJ
cana-3282	21	31	https	https	NOUN
cana-3282	21	32	that	that	PRON
cana-3282	21	33	are	be	AUX
cana-3282	21	34	normally	normally	ADV
cana-3282	21	35	used	use	VERB
cana-3282	21	36	in	in	ADP
cana-3282	21	37	the	the	DET
cana-3282	21	38	process	process	NOUN
cana-3282	21	39	.	.	PUNCT
cana-3282	22	1	ml	ml	VERB
cana-3282	22	2	-	-	PUNCT
cana-3282	22	3	based	base	VERB
cana-3282	22	4	systems	system	NOUN
cana-3282	22	5	have	have	VERB
cana-3282	22	6	to	to	PART
cana-3282	22	7	learn	learn	VERB
cana-3282	22	8	from	from	ADP
cana-3282	22	9	detected	detect	VERB
cana-3282	22	10	phishing	phishing	NOUN
cana-3282	22	11	and	and	CCONJ
cana-3282	22	12	communications	communication	NOUN
cana-3282	22	13	on	on	ADP
cana-3282	22	14	applied	apply	VERB
cana-3282	22	15	nonlinear	nonlinear	ADJ
cana-3282	22	16	analysis	analysis	NOUN
cana-3282	22	17	issn	issn	NOUN
cana-3282	22	18	:	:	PUNCT
cana-3282	22	19	1074	1074	NUM
cana-3282	22	20	-	-	PUNCT
cana-3282	22	21	133x	133x	NUM
cana-3282	22	22	vol	vol	NOUN
cana-3282	22	23	32	32	NUM
cana-3282	22	24	no	no	NOUN
cana-3282	22	25	.	.	PUNCT
cana-3282	23	1	6s	6s	NUM
cana-3282	23	2	(	(	PUNCT
cana-3282	23	3	2025	2025	NUM
cana-3282	23	4	)	)	PUNCT
cana-3282	23	5	152	152	NUM
cana-3282	23	6	https://internationalpubls.com	https://internationalpubls.com	NUM
cana-3282	23	7	legitimate	legitimate	ADJ
cana-3282	23	8	urls	url	NOUN
cana-3282	23	9	,	,	PUNCT
cana-3282	23	10	so	so	SCONJ
cana-3282	23	11	they	they	PRON
cana-3282	23	12	can	can	AUX
cana-3282	23	13	increase	increase	VERB
cana-3282	23	14	the	the	DET
cana-3282	23	15	chances	chance	NOUN
cana-3282	23	16	of	of	ADP
cana-3282	23	17	detecting	detect	VERB
cana-3282	23	18	future	future	ADJ
cana-3282	23	19	new	new	ADJ
cana-3282	23	20	types	type	NOUN
cana-3282	23	21	of	of	ADP
cana-3282	23	22	phishing	phishe	VERB
cana-3282	23	23	attacks	attack	NOUN
cana-3282	23	24	.	.	PUNCT
cana-3282	24	1	the	the	DET
cana-3282	24	2	development	development	NOUN
cana-3282	24	3	of	of	ADP
cana-3282	24	4	this	this	DET
cana-3282	24	5	paper	paper	NOUN
cana-3282	24	6	is	be	AUX
cana-3282	24	7	informed	inform	VERB
cana-3282	24	8	by	by	ADP
cana-3282	24	9	the	the	DET
cana-3282	24	10	inability	inability	NOUN
cana-3282	24	11	to	to	PART
cana-3282	24	12	effectively	effectively	ADV
cana-3282	24	13	prevent	prevent	VERB
cana-3282	24	14	or	or	CCONJ
cana-3282	24	15	identify	identify	VERB
cana-3282	24	16	phishing	phishe	VERB
cana-3282	24	17	urls	url	NOUN
cana-3282	24	18	in	in	ADP
cana-3282	24	19	real	real	ADJ
cana-3282	24	20	time	time	NOUN
cana-3282	24	21	in	in	ADP
cana-3282	24	22	an	an	DET
cana-3282	24	23	efficient	efficient	ADJ
cana-3282	24	24	and	and	CCONJ
cana-3282	24	25	convenient	convenient	ADJ
cana-3282	24	26	manner	manner	NOUN
cana-3282	24	27	.	.	PUNCT
cana-3282	25	1	a	a	DET
cana-3282	25	2	machine	machine	NOUN
cana-3282	25	3	learning	learn	VERB
cana-3282	25	4	model	model	NOUN
cana-3282	25	5	approach	approach	NOUN
cana-3282	25	6	can	can	AUX
cana-3282	25	7	thus	thus	ADV
cana-3282	25	8	perform	perform	VERB
cana-3282	25	9	real	real	ADJ
cana-3282	25	10	-	-	PUNCT
cana-3282	25	11	time	time	NOUN
cana-3282	25	12	detection	detection	NOUN
cana-3282	25	13	that	that	PRON
cana-3282	25	14	would	would	AUX
cana-3282	25	15	easily	easily	ADV
cana-3282	25	16	counter	counter	VERB
cana-3282	25	17	what	what	PRON
cana-3282	25	18	new	new	ADJ
cana-3282	25	19	approaches	approach	VERB
cana-3282	25	20	a	a	DET
cana-3282	25	21	phisher	phisher	NOUN
cana-3282	25	22	may	may	AUX
cana-3282	25	23	devise	devise	VERB
cana-3282	25	24	.	.	PUNCT
cana-3282	26	1	also	also	ADV
cana-3282	26	2	,	,	PUNCT
cana-3282	26	3	the	the	DET
cana-3282	26	4	tool	tool	NOUN
cana-3282	26	5	is	be	AUX
cana-3282	26	6	used	use	VERB
cana-3282	26	7	as	as	ADP
cana-3282	26	8	a	a	DET
cana-3282	26	9	web	web	NOUN
cana-3282	26	10	application	application	NOUN
cana-3282	26	11	where	where	SCONJ
cana-3282	26	12	users	user	NOUN
cana-3282	26	13	have	have	VERB
cana-3282	26	14	to	to	PART
cana-3282	26	15	enter	enter	VERB
cana-3282	26	16	the	the	DET
cana-3282	26	17	url	url	NOUN
cana-3282	26	18	and	and	CCONJ
cana-3282	26	19	receive	receive	VERB
cana-3282	26	20	the	the	DET
cana-3282	26	21	immediate	immediate	ADJ
cana-3282	26	22	classification	classification	NOUN
cana-3282	26	23	,	,	PUNCT
cana-3282	26	24	which	which	PRON
cana-3282	26	25	is	be	AUX
cana-3282	26	26	critical	critical	ADJ
cana-3282	26	27	for	for	ADP
cana-3282	26	28	the	the	DET
cana-3282	26	29	timely	timely	ADJ
cana-3282	26	30	prevention	prevention	NOUN
cana-3282	26	31	of	of	ADP
cana-3282	26	32	threats	threat	NOUN
cana-3282	26	33	.	.	PUNCT
cana-3282	27	1	b.	b.	PROPN
cana-3282	27	2	objectives	objective	VERB
cana-3282	27	3	the	the	DET
cana-3282	27	4	primary	primary	ADJ
cana-3282	27	5	objective	objective	NOUN
cana-3282	27	6	of	of	ADP
cana-3282	27	7	this	this	DET
cana-3282	27	8	paper	paper	NOUN
cana-3282	27	9	is	be	AUX
cana-3282	27	10	to	to	PART
cana-3282	27	11	develop	develop	VERB
cana-3282	27	12	a	a	DET
cana-3282	27	13	robust	robust	ADJ
cana-3282	27	14	machine	machine	NOUN
cana-3282	27	15	learning	learning	NOUN
cana-3282	27	16	model	model	NOUN
cana-3282	27	17	that	that	PRON
cana-3282	27	18	can	can	AUX
cana-3282	27	19	accurately	accurately	ADV
cana-3282	27	20	classify	classify	VERB
cana-3282	27	21	urls	url	NOUN
cana-3282	27	22	as	as	ADP
cana-3282	27	23	“	"	PUNCT
cana-3282	27	24	phishing	phishe	VERB
cana-3282	27	25	,	,	PUNCT
cana-3282	27	26	”	"	PUNCT
cana-3282	28	1	“	"	PUNCT
cana-3282	28	2	suspicious	suspicious	ADJ
cana-3282	28	3	,	,	PUNCT
cana-3282	28	4	”	"	PUNCT
cana-3282	28	5	or	or	CCONJ
cana-3282	28	6	“	"	PUNCT
cana-3282	28	7	safe	safe	ADJ
cana-3282	28	8	.	.	PUNCT
cana-3282	28	9	”	"	PUNCT
cana-3282	28	10	specific	specific	ADJ
cana-3282	28	11	objectives	objective	NOUN
cana-3282	28	12	include	include	VERB
cana-3282	28	13	:	:	PUNCT
cana-3282	28	14	1	1	X
cana-3282	28	15	.	.	X
cana-3282	28	16	design	design	NOUN
cana-3282	28	17	and	and	CCONJ
cana-3282	28	18	train	train	VERB
cana-3282	28	19	the	the	DET
cana-3282	28	20	model	model	NOUN
cana-3282	28	21	:	:	PUNCT
cana-3282	28	22	develop	develop	VERB
cana-3282	28	23	a	a	DET
cana-3282	28	24	machine	machine	NOUN
cana-3282	28	25	learning	learn	VERB
cana-3282	28	26	model	model	NOUN
cana-3282	28	27	using	use	VERB
cana-3282	28	28	a	a	DET
cana-3282	28	29	random	random	ADJ
cana-3282	28	30	forest	forest	NOUN
cana-3282	28	31	classifier	classifier	NOUN
cana-3282	28	32	,	,	PUNCT
cana-3282	28	33	which	which	PRON
cana-3282	28	34	is	be	AUX
cana-3282	28	35	well	well	ADV
cana-3282	28	36	-	-	PUNCT
cana-3282	28	37	suited	suit	VERB
cana-3282	28	38	for	for	ADP
cana-3282	28	39	classification	classification	NOUN
cana-3282	28	40	tasks	task	NOUN
cana-3282	28	41	,	,	PUNCT
cana-3282	28	42	to	to	PART
cana-3282	28	43	analyse	analyse	VERB
cana-3282	28	44	urlbased	urlbase	VERB
cana-3282	28	45	features	feature	NOUN
cana-3282	28	46	indicative	indicative	ADJ
cana-3282	28	47	of	of	ADP
cana-3282	28	48	phishing	phishe	VERB
cana-3282	28	49	behaviour	behaviour	NOUN
cana-3282	28	50	.	.	PUNCT
cana-3282	29	1	2	2	X
cana-3282	29	2	.	.	X
cana-3282	29	3	feature	feature	NOUN
cana-3282	29	4	engineering	engineering	NOUN
cana-3282	29	5	:	:	PUNCT
cana-3282	29	6	identify	identify	VERB
cana-3282	29	7	and	and	CCONJ
cana-3282	29	8	extract	extract	VERB
cana-3282	29	9	relevant	relevant	ADJ
cana-3282	29	10	url	url	NOUN
cana-3282	29	11	features	feature	NOUN
cana-3282	29	12	,	,	PUNCT
cana-3282	29	13	such	such	ADJ
cana-3282	29	14	as	as	ADP
cana-3282	29	15	url	url	NOUN
cana-3282	29	16	length	length	NOUN
cana-3282	29	17	,	,	PUNCT
cana-3282	29	18	presence	presence	NOUN
cana-3282	29	19	of	of	ADP
cana-3282	29	20	special	special	ADJ
cana-3282	29	21	characters	character	NOUN
cana-3282	29	22	,	,	PUNCT
cana-3282	29	23	https	https	NOUN
cana-3282	29	24	usage	usage	NOUN
cana-3282	29	25	,	,	PUNCT
cana-3282	29	26	and	and	CCONJ
cana-3282	29	27	redirection	redirection	NOUN
cana-3282	29	28	patterns	pattern	NOUN
cana-3282	29	29	,	,	PUNCT
cana-3282	29	30	that	that	PRON
cana-3282	29	31	distinguish	distinguish	VERB
cana-3282	29	32	phishing	phishe	VERB
cana-3282	29	33	urls	url	NOUN
cana-3282	29	34	from	from	ADP
cana-3282	29	35	legitimate	legitimate	ADJ
cana-3282	29	36	ones	one	NOUN
cana-3282	29	37	.	.	PUNCT
cana-3282	30	1	3	3	X
cana-3282	30	2	.	.	PUNCT
cana-3282	30	3	model	model	NOUN
cana-3282	30	4	evaluation	evaluation	NOUN
cana-3282	30	5	:	:	PUNCT
cana-3282	30	6	evaluate	evaluate	VERB
cana-3282	30	7	the	the	DET
cana-3282	30	8	performance	performance	NOUN
cana-3282	30	9	of	of	ADP
cana-3282	30	10	the	the	DET
cana-3282	30	11	model	model	NOUN
cana-3282	30	12	using	use	VERB
cana-3282	30	13	key	key	ADJ
cana-3282	30	14	metrics	metric	NOUN
cana-3282	30	15	like	like	ADP
cana-3282	30	16	accuracy	accuracy	NOUN
cana-3282	30	17	,	,	PUNCT
cana-3282	30	18	precision	precision	NOUN
cana-3282	30	19	,	,	PUNCT
cana-3282	30	20	recall	recall	NOUN
cana-3282	30	21	,	,	PUNCT
cana-3282	30	22	and	and	CCONJ
cana-3282	30	23	f1	f1	NOUN
cana-3282	30	24	-	-	PUNCT
cana-3282	30	25	score	score	NOUN
cana-3282	30	26	to	to	PART
cana-3282	30	27	ensure	ensure	VERB
cana-3282	30	28	high	high	ADJ
cana-3282	30	29	reliability	reliability	NOUN
cana-3282	30	30	in	in	ADP
cana-3282	30	31	detecting	detect	VERB
cana-3282	30	32	phishing	phishe	VERB
cana-3282	30	33	urls	url	NOUN
cana-3282	30	34	.	.	PUNCT
cana-3282	31	1	achieving	achieve	VERB
cana-3282	31	2	a	a	DET
cana-3282	31	3	classification	classification	NOUN
cana-3282	31	4	accuracy	accuracy	NOUN
cana-3282	31	5	of	of	ADP
cana-3282	31	6	at	at	ADV
cana-3282	31	7	least	least	ADV
cana-3282	31	8	90	90	NUM
cana-3282	31	9	%	%	NOUN
cana-3282	31	10	on	on	ADP
cana-3282	31	11	test	test	NOUN
cana-3282	31	12	data	datum	NOUN
cana-3282	31	13	is	be	AUX
cana-3282	31	14	a	a	DET
cana-3282	31	15	key	key	ADJ
cana-3282	31	16	performance	performance	NOUN
cana-3282	31	17	goal	goal	NOUN
cana-3282	31	18	.	.	PUNCT
cana-3282	32	1	4	4	X
cana-3282	32	2	.	.	X
cana-3282	32	3	deployment	deployment	NOUN
cana-3282	32	4	as	as	ADP
cana-3282	32	5	a	a	DET
cana-3282	32	6	web	web	NOUN
cana-3282	32	7	application	application	NOUN
cana-3282	32	8	:	:	PUNCT
cana-3282	32	9	build	build	VERB
cana-3282	32	10	a	a	DET
cana-3282	32	11	userfriendly	userfriendly	ADJ
cana-3282	32	12	,	,	PUNCT
cana-3282	32	13	web	web	NOUN
cana-3282	32	14	-	-	PUNCT
cana-3282	32	15	based	base	VERB
cana-3282	32	16	interface	interface	NOUN
cana-3282	32	17	for	for	ADP
cana-3282	32	18	the	the	DET
cana-3282	32	19	tool	tool	NOUN
cana-3282	32	20	,	,	PUNCT
cana-3282	32	21	allowing	allow	VERB
cana-3282	32	22	users	user	NOUN
cana-3282	32	23	to	to	PART
cana-3282	32	24	submit	submit	VERB
cana-3282	32	25	urls	url	NOUN
cana-3282	32	26	and	and	CCONJ
cana-3282	32	27	receive	receive	VERB
cana-3282	32	28	real	real	ADJ
cana-3282	32	29	-	-	PUNCT
cana-3282	32	30	time	time	NOUN
cana-3282	32	31	classification	classification	NOUN
cana-3282	32	32	results	result	NOUN
cana-3282	32	33	.	.	PUNCT
cana-3282	33	1	the	the	DET
cana-3282	33	2	application	application	NOUN
cana-3282	33	3	will	will	AUX
cana-3282	33	4	incorporate	incorporate	VERB
cana-3282	33	5	a	a	DET
cana-3282	33	6	flask	flask	NOUN
cana-3282	33	7	api	api	NOUN
cana-3282	33	8	for	for	ADP
cana-3282	33	9	backend	backend	NOUN
cana-3282	33	10	processing	processing	NOUN
cana-3282	33	11	and	and	CCONJ
cana-3282	33	12	a	a	DET
cana-3282	33	13	react	react	NOUN
cana-3282	33	14	-	-	PUNCT
cana-3282	33	15	based	base	VERB
cana-3282	33	16	frontend	frontend	NOUN
cana-3282	33	17	for	for	ADP
cana-3282	33	18	a	a	DET
cana-3282	33	19	seamless	seamless	ADJ
cana-3282	33	20	user	user	NOUN
cana-3282	33	21	experience	experience	NOUN
cana-3282	33	22	.	.	PUNCT
cana-3282	34	1	5	5	X
cana-3282	34	2	.	.	X
cana-3282	34	3	integration	integration	NOUN
cana-3282	34	4	of	of	ADP
cana-3282	34	5	a	a	DET
cana-3282	34	6	whitelist	whitelist	NOUN
cana-3282	34	7	:	:	PUNCT
cana-3282	34	8	implement	implement	VERB
cana-3282	34	9	a	a	DET
cana-3282	34	10	whitelist	whitelist	NOUN
cana-3282	34	11	of	of	ADP
cana-3282	34	12	known	know	VERB
cana-3282	34	13	legitimate	legitimate	ADJ
cana-3282	34	14	domains	domain	NOUN
cana-3282	34	15	to	to	PART
cana-3282	34	16	reduce	reduce	VERB
cana-3282	34	17	false	false	ADJ
cana-3282	34	18	positives	positive	NOUN
cana-3282	34	19	and	and	CCONJ
cana-3282	34	20	improve	improve	VERB
cana-3282	34	21	user	user	NOUN
cana-3282	34	22	trust	trust	NOUN
cana-3282	34	23	,	,	PUNCT
cana-3282	34	24	ensuring	ensure	VERB
cana-3282	34	25	that	that	SCONJ
cana-3282	34	26	the	the	DET
cana-3282	34	27	tool	tool	NOUN
cana-3282	34	28	provides	provide	VERB
cana-3282	34	29	accurate	accurate	ADJ
cana-3282	34	30	and	and	CCONJ
cana-3282	34	31	reliable	reliable	ADJ
cana-3282	34	32	classification	classification	NOUN
cana-3282	34	33	.	.	PUNCT
cana-3282	35	1	6	6	X
cana-3282	35	2	.	.	X
cana-3282	35	3	enhance	enhance	NOUN
cana-3282	35	4	cybersecurity	cybersecurity	NOUN
cana-3282	35	5	awareness	awareness	NOUN
cana-3282	35	6	:	:	PUNCT
cana-3282	35	7	ultimately	ultimately	ADV
cana-3282	35	8	,	,	PUNCT
cana-3282	35	9	the	the	DET
cana-3282	35	10	paper	paper	NOUN
cana-3282	35	11	aims	aim	VERB
cana-3282	35	12	to	to	PART
cana-3282	35	13	support	support	VERB
cana-3282	35	14	users	user	NOUN
cana-3282	35	15	by	by	ADP
cana-3282	35	16	providing	provide	VERB
cana-3282	35	17	a	a	DET
cana-3282	35	18	tool	tool	NOUN
cana-3282	35	19	that	that	PRON
cana-3282	35	20	proactively	proactively	ADV
cana-3282	35	21	helps	help	VERB
cana-3282	35	22	them	they	PRON
cana-3282	35	23	identify	identify	VERB
cana-3282	35	24	and	and	CCONJ
cana-3282	35	25	avoid	avoid	VERB
cana-3282	35	26	phishing	phishe	VERB
cana-3282	35	27	threats	threat	NOUN
cana-3282	35	28	,	,	PUNCT
cana-3282	35	29	thereby	thereby	ADV
cana-3282	35	30	contributing	contribute	VERB
cana-3282	35	31	to	to	PART
cana-3282	35	32	safer	safer	VERB
cana-3282	35	33	online	online	ADJ
cana-3282	35	34	interactions	interaction	NOUN
cana-3282	35	35	.	.	PUNCT
cana-3282	36	1	c.	c.	NOUN
cana-3282	36	2	background	background	NOUN
cana-3282	36	3	over	over	ADP
cana-3282	36	4	the	the	DET
cana-3282	36	5	past	past	ADJ
cana-3282	36	6	two	two	NUM
cana-3282	36	7	decades	decade	NOUN
cana-3282	36	8	,	,	PUNCT
cana-3282	36	9	the	the	DET
cana-3282	36	10	rollout	rollout	NOUN
cana-3282	36	11	of	of	ADP
cana-3282	36	12	new	new	ADJ
cana-3282	36	13	innovative	innovative	ADJ
cana-3282	36	14	technologies	technology	NOUN
cana-3282	36	15	has	have	AUX
cana-3282	36	16	led	lead	VERB
cana-3282	36	17	to	to	ADP
cana-3282	36	18	a	a	DET
cana-3282	36	19	new	new	ADJ
cana-3282	36	20	wave	wave	NOUN
cana-3282	36	21	of	of	ADP
cana-3282	36	22	online	online	ADJ
cana-3282	36	23	trading	trading	NOUN
cana-3282	36	24	and	and	CCONJ
cana-3282	36	25	communication	communication	NOUN
cana-3282	36	26	developments	development	NOUN
cana-3282	36	27	that	that	PRON
cana-3282	36	28	affect	affect	VERB
cana-3282	36	29	every	every	DET
cana-3282	36	30	facet	facet	NOUN
cana-3282	36	31	of	of	ADP
cana-3282	36	32	people	people	NOUN
cana-3282	36	33	’s	’s	PART
cana-3282	36	34	lives	life	NOUN
cana-3282	36	35	,	,	PUNCT
cana-3282	36	36	whether	whether	SCONJ
cana-3282	36	37	it	it	PRON
cana-3282	36	38	is	be	AUX
cana-3282	36	39	in	in	ADP
cana-3282	36	40	the	the	DET
cana-3282	36	41	personal	personal	ADJ
cana-3282	36	42	,	,	PUNCT
cana-3282	36	43	business	business	NOUN
cana-3282	36	44	,	,	PUNCT
cana-3282	36	45	or	or	CCONJ
cana-3282	36	46	political	political	ADJ
cana-3282	36	47	realms	realm	NOUN
cana-3282	36	48	.	.	PUNCT
cana-3282	37	1	while	while	SCONJ
cana-3282	37	2	such	such	DET
cana-3282	37	3	a	a	DET
cana-3282	37	4	shift	shift	NOUN
cana-3282	37	5	has	have	AUX
cana-3282	37	6	opened	open	VERB
cana-3282	37	7	up	up	ADP
cana-3282	37	8	numerous	numerous	ADJ
cana-3282	37	9	advantages	advantage	NOUN
cana-3282	37	10	,	,	PUNCT
cana-3282	37	11	it	it	PRON
cana-3282	37	12	has	have	AUX
cana-3282	37	13	also	also	ADV
cana-3282	37	14	brought	bring	VERB
cana-3282	37	15	with	with	ADP
cana-3282	37	16	it	it	PRON
cana-3282	37	17	new	new	ADJ
cana-3282	37	18	forms	form	NOUN
cana-3282	37	19	of	of	ADP
cana-3282	37	20	risk	risk	NOUN
cana-3282	37	21	.	.	PUNCT
cana-3282	38	1	of	of	ADP
cana-3282	38	2	these	these	PRON
cana-3282	38	3	,	,	PUNCT
cana-3282	38	4	however	however	ADV
cana-3282	38	5	,	,	PUNCT
cana-3282	38	6	perhaps	perhaps	ADV
cana-3282	38	7	phishing	phishe	VERB
cana-3282	38	8	is	be	AUX
cana-3282	38	9	one	one	NUM
cana-3282	38	10	of	of	ADP
cana-3282	38	11	the	the	DET
cana-3282	38	12	most	most	ADV
cana-3282	38	13	widespread	widespread	ADJ
cana-3282	38	14	and	and	CCONJ
cana-3282	38	15	threatening	threatening	ADJ
cana-3282	38	16	types	type	NOUN
cana-3282	38	17	of	of	ADP
cana-3282	38	18	cyber	cyber	ADJ
cana-3282	38	19	threat	threat	NOUN
cana-3282	38	20	.	.	PUNCT
cana-3282	39	1	phishing	phishe	VERB
cana-3282	39	2	scams	scam	NOUN
cana-3282	39	3	deceive	deceive	VERB
cana-3282	39	4	people	people	NOUN
cana-3282	39	5	into	into	ADP
cana-3282	39	6	passing	pass	VERB
cana-3282	39	7	on	on	ADP
cana-3282	39	8	their	their	PRON
cana-3282	39	9	personal	personal	ADJ
cana-3282	39	10	data	datum	NOUN
cana-3282	39	11	like	like	ADP
cana-3282	39	12	usernames	username	NOUN
cana-3282	39	13	and	and	CCONJ
cana-3282	39	14	passwords	password	NOUN
cana-3282	39	15	and	and	CCONJ
cana-3282	39	16	other	other	ADJ
cana-3282	39	17	personal	personal	ADJ
cana-3282	39	18	information	information	NOUN
cana-3282	39	19	.	.	PUNCT
cana-3282	40	1	more	more	ADV
cana-3282	40	2	often	often	ADV
cana-3282	40	3	,	,	PUNCT
cana-3282	40	4	it	it	PRON
cana-3282	40	5	is	be	AUX
cana-3282	40	6	carried	carry	VERB
cana-3282	40	7	out	out	ADP
cana-3282	40	8	through	through	ADP
cana-3282	40	9	bogus	bogus	ADJ
cana-3282	40	10	emails	email	NOUN
cana-3282	40	11	,	,	PUNCT
cana-3282	40	12	websites	website	NOUN
cana-3282	40	13	,	,	PUNCT
cana-3282	40	14	or	or	CCONJ
cana-3282	40	15	instant	instant	ADJ
cana-3282	40	16	messages	message	NOUN
cana-3282	40	17	that	that	PRON
cana-3282	40	18	resemble	resemble	VERB
cana-3282	40	19	a	a	DET
cana-3282	40	20	legitimate	legitimate	ADJ
cana-3282	40	21	organization	organization	NOUN
cana-3282	40	22	to	to	PART
cana-3282	40	23	deceive	deceive	VERB
cana-3282	40	24	the	the	DET
cana-3282	40	25	user	user	NOUN
cana-3282	40	26	into	into	ADP
cana-3282	40	27	providing	provide	VERB
cana-3282	40	28	personal	personal	ADJ
cana-3282	40	29	details	detail	NOUN
cana-3282	40	30	.	.	PUNCT
cana-3282	41	1	security	security	NOUN
cana-3282	41	2	firms	firm	NOUN
cana-3282	41	3	,	,	PUNCT
cana-3282	41	4	including	include	VERB
cana-3282	41	5	the	the	DET
cana-3282	41	6	anti	anti	ADJ
cana-3282	41	7	-	-	ADJ
cana-3282	41	8	phishing	phishing	ADJ
cana-3282	41	9	working	working	NOUN
cana-3282	41	10	group	group	NOUN
cana-3282	41	11	(	(	PUNCT
cana-3282	41	12	apwg	apwg	NOUN
cana-3282	41	13	)	)	PUNCT
cana-3282	41	14	,	,	PUNCT
cana-3282	41	15	reveal	reveal	VERB
cana-3282	41	16	that	that	SCONJ
cana-3282	41	17	phishing	phishe	VERB
cana-3282	41	18	attacks	attack	NOUN
cana-3282	41	19	become	become	VERB
cana-3282	41	20	more	more	ADV
cana-3282	41	21	numerous	numerous	ADJ
cana-3282	41	22	and	and	CCONJ
cana-3282	41	23	diverse	diverse	ADJ
cana-3282	41	24	,	,	PUNCT
cana-3282	41	25	thus	thus	ADV
cana-3282	41	26	increasing	increase	VERB
cana-3282	41	27	dangers	danger	NOUN
cana-3282	41	28	for	for	ADP
cana-3282	41	29	internet	internet	NOUN
cana-3282	41	30	clients	client	NOUN
cana-3282	41	31	and	and	CCONJ
cana-3282	41	32	businesses	business	NOUN
cana-3282	41	33	.	.	PUNCT
cana-3282	42	1	the	the	DET
cana-3282	42	2	advanced	advanced	ADJ
cana-3282	42	3	techniques	technique	NOUN
cana-3282	42	4	employed	employ	VERB
cana-3282	42	5	today	today	NOUN
cana-3282	42	6	include	include	VERB
cana-3282	42	7	domain	domain	NOUN
cana-3282	42	8	field	field	NOUN
cana-3282	42	9	obfuscation	obfuscation	NOUN
cana-3282	42	10	,	,	PUNCT
cana-3282	42	11	use	use	NOUN
cana-3282	42	12	of	of	ADP
cana-3282	42	13	https	https	NOUN
cana-3282	42	14	,	,	PUNCT
cana-3282	42	15	and	and	CCONJ
cana-3282	42	16	url	url	VERB
cana-3282	42	17	shortening	shortening	NOUN
cana-3282	42	18	,	,	PUNCT
cana-3282	42	19	to	to	PART
cana-3282	42	20	name	name	VERB
cana-3282	42	21	but	but	CCONJ
cana-3282	42	22	a	a	DET
cana-3282	42	23	few	few	ADJ
cana-3282	42	24	,	,	PUNCT
cana-3282	42	25	to	to	PART
cana-3282	42	26	disguise	disguise	VERB
cana-3282	42	27	the	the	DET
cana-3282	42	28	look	look	NOUN
cana-3282	42	29	of	of	ADP
cana-3282	42	30	a	a	DET
cana-3282	42	31	fake	fake	ADJ
cana-3282	42	32	url	url	NOUN
cana-3282	42	33	.	.	PUNCT
cana-3282	43	1	therefore	therefore	ADV
cana-3282	43	2	,	,	PUNCT
cana-3282	43	3	they	they	PRON
cana-3282	43	4	avoid	avoid	VERB
cana-3282	43	5	many	many	ADJ
cana-3282	43	6	standard	standard	ADJ
cana-3282	43	7	mechanisms	mechanism	NOUN
cana-3282	43	8	of	of	ADP
cana-3282	43	9	protection	protection	NOUN
cana-3282	43	10	and	and	CCONJ
cana-3282	43	11	act	act	NOUN
cana-3282	43	12	as	as	ADP
cana-3282	43	13	a	a	DET
cana-3282	43	14	consequence	consequence	NOUN
cana-3282	43	15	of	of	ADP
cana-3282	43	16	a	a	DET
cana-3282	43	17	human	human	ADJ
cana-3282	43	18	mistake	mistake	NOUN
cana-3282	43	19	.	.	PUNCT
cana-3282	44	1	communications	communication	NOUN
cana-3282	44	2	on	on	ADP
cana-3282	44	3	applied	apply	VERB
cana-3282	44	4	nonlinear	nonlinear	ADJ
cana-3282	44	5	analysis	analysis	NOUN
cana-3282	44	6	issn	issn	NOUN
cana-3282	44	7	:	:	PUNCT
cana-3282	44	8	1074	1074	NUM
cana-3282	44	9	-	-	PUNCT
cana-3282	44	10	133x	133x	NUM
cana-3282	44	11	vol	vol	NOUN
cana-3282	44	12	32	32	NUM
cana-3282	44	13	no	no	NOUN
cana-3282	44	14	.	.	PUNCT
cana-3282	45	1	6s	6s	NUM
cana-3282	45	2	(	(	PUNCT
cana-3282	45	3	2025	2025	NUM
cana-3282	45	4	)	)	PUNCT
cana-3282	46	1	153	153	NUM
cana-3282	46	2	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	46	3	fig.1	fig.1	PROPN
cana-3282	46	4	.	.	PUNCT
cana-3282	46	5	flow	flow	NOUN
cana-3282	46	6	of	of	ADP
cana-3282	46	7	the	the	DET
cana-3282	46	8	proposed	propose	VERB
cana-3282	46	9	work	work	NOUN
cana-3282	46	10	2	2	X
cana-3282	46	11	.	.	PUNCT
cana-3282	46	12	literature	literature	NOUN
cana-3282	46	13	review	review	VERB
cana-3282	46	14	the	the	DET
cana-3282	46	15	phishing	phishe	VERB
cana-3282	46	16	website	website	NOUN
cana-3282	46	17	detection	detection	NOUN
cana-3282	46	18	explores	explore	VERB
cana-3282	46	19	a	a	DET
cana-3282	46	20	machine	machine	NOUN
cana-3282	46	21	learning	learn	VERB
cana-3282	46	22	solution	solution	NOUN
cana-3282	46	23	for	for	ADP
cana-3282	46	24	identifying	identify	VERB
cana-3282	46	25	phishing	phishe	VERB
cana-3282	46	26	sites	site	NOUN
cana-3282	46	27	,	,	PUNCT
cana-3282	46	28	using	use	VERB
cana-3282	46	29	logistic	logistic	ADJ
cana-3282	46	30	regression	regression	NOUN
cana-3282	46	31	and	and	CCONJ
cana-3282	46	32	naive	naive	ADJ
cana-3282	46	33	bayes	bayes	NOUN
cana-3282	46	34	models	model	NOUN
cana-3282	46	35	for	for	ADP
cana-3282	46	36	url	url	NOUN
cana-3282	46	37	analysis	analysis	NOUN
cana-3282	46	38	.	.	PUNCT
cana-3282	47	1	this	this	DET
cana-3282	47	2	approach	approach	NOUN
cana-3282	47	3	,	,	PUNCT
cana-3282	47	4	supported	support	VERB
cana-3282	47	5	by	by	ADP
cana-3282	47	6	phish	phish	NOUN
cana-3282	47	7	tank	tank	NOUN
cana-3282	47	8	data	datum	NOUN
cana-3282	47	9	and	and	CCONJ
cana-3282	47	10	deployed	deploy	VERB
cana-3282	47	11	with	with	ADP
cana-3282	47	12	fastapi	fastapi	NOUN
cana-3282	47	13	,	,	PUNCT
cana-3282	47	14	achieves	achieve	VERB
cana-3282	47	15	real	real	ADJ
cana-3282	47	16	-	-	PUNCT
cana-3282	47	17	time	time	NOUN
cana-3282	47	18	detection	detection	NOUN
cana-3282	47	19	but	but	CCONJ
cana-3282	47	20	has	have	VERB
cana-3282	47	21	limitations	limitation	NOUN
cana-3282	47	22	,	,	PUNCT
cana-3282	47	23	including	include	VERB
cana-3282	47	24	a	a	DET
cana-3282	47	25	narrow	narrow	ADJ
cana-3282	47	26	algorithm	algorithm	NOUN
cana-3282	47	27	set	set	NOUN
cana-3282	47	28	and	and	CCONJ
cana-3282	47	29	minimal	minimal	ADJ
cana-3282	47	30	focus	focus	NOUN
cana-3282	47	31	on	on	ADP
cana-3282	47	32	user	user	NOUN
cana-3282	47	33	education	education	NOUN
cana-3282	47	34	.	.	PUNCT
cana-3282	48	1	future	future	ADJ
cana-3282	48	2	work	work	NOUN
cana-3282	48	3	suggests	suggest	VERB
cana-3282	48	4	expanding	expand	VERB
cana-3282	48	5	algorithms	algorithm	NOUN
cana-3282	48	6	,	,	PUNCT
cana-3282	48	7	increasing	increase	VERB
cana-3282	48	8	user	user	NOUN
cana-3282	48	9	awareness	awareness	NOUN
cana-3282	48	10	,	,	PUNCT
cana-3282	48	11	and	and	CCONJ
cana-3282	48	12	incorporating	incorporate	VERB
cana-3282	48	13	transfer	transfer	NOUN
cana-3282	48	14	learning	learning	NOUN
cana-3282	48	15	for	for	ADP
cana-3282	48	16	improved	improve	VERB
cana-3282	48	17	,	,	PUNCT
cana-3282	48	18	broader	broad	ADJ
cana-3282	48	19	detection.[1	detection.[1	NOUN
cana-3282	48	20	]	]	PUNCT
cana-3282	48	21	this	this	DET
cana-3282	48	22	cybersecurity	cybersecurity	NOUN
cana-3282	48	23	solution	solution	NOUN
cana-3282	48	24	targets	target	VERB
cana-3282	48	25	the	the	DET
cana-3282	48	26	growing	grow	VERB
cana-3282	48	27	threat	threat	NOUN
cana-3282	48	28	of	of	ADP
cana-3282	48	29	phishing	phishe	VERB
cana-3282	48	30	by	by	ADP
cana-3282	48	31	proposing	propose	VERB
cana-3282	48	32	a	a	DET
cana-3282	48	33	browser	browser	NOUN
cana-3282	48	34	extension	extension	NOUN
cana-3282	48	35	that	that	PRON
cana-3282	48	36	uses	use	VERB
cana-3282	48	37	a	a	DET
cana-3282	48	38	random	random	ADJ
cana-3282	48	39	forest	forest	NOUN
cana-3282	48	40	model	model	NOUN
cana-3282	48	41	trained	train	VERB
cana-3282	48	42	on	on	ADP
cana-3282	48	43	26	26	NUM
cana-3282	48	44	url	url	NOUN
cana-3282	48	45	and	and	CCONJ
cana-3282	48	46	content	content	NOUN
cana-3282	48	47	features	feature	NOUN
cana-3282	48	48	,	,	PUNCT
cana-3282	48	49	achieving	achieve	VERB
cana-3282	48	50	98.8	98.8	NUM
cana-3282	48	51	%	%	NOUN
cana-3282	48	52	accuracy	accuracy	NOUN
cana-3282	48	53	.	.	PUNCT
cana-3282	49	1	the	the	DET
cana-3282	49	2	model	model	NOUN
cana-3282	49	3	offers	offer	VERB
cana-3282	49	4	real	real	ADJ
cana-3282	49	5	-	-	PUNCT
cana-3282	49	6	time	time	NOUN
cana-3282	49	7	,	,	PUNCT
cana-3282	49	8	highly	highly	ADV
cana-3282	49	9	accurate	accurate	ADJ
cana-3282	49	10	detection	detection	NOUN
cana-3282	49	11	and	and	CCONJ
cana-3282	49	12	carefully	carefully	ADV
cana-3282	49	13	selected	select	VERB
cana-3282	49	14	features	feature	NOUN
cana-3282	49	15	.	.	PUNCT
cana-3282	50	1	however	however	ADV
cana-3282	50	2	,	,	PUNCT
cana-3282	50	3	it	it	PRON
cana-3282	50	4	depends	depend	VERB
cana-3282	50	5	on	on	ADP
cana-3282	50	6	feature	feature	NOUN
cana-3282	50	7	quality	quality	NOUN
cana-3282	50	8	,	,	PUNCT
cana-3282	50	9	may	may	AUX
cana-3282	50	10	face	face	VERB
cana-3282	50	11	computational	computational	ADJ
cana-3282	50	12	demands	demand	NOUN
cana-3282	50	13	,	,	PUNCT
cana-3282	50	14	and	and	CCONJ
cana-3282	50	15	requires	require	VERB
cana-3282	50	16	updates	update	NOUN
cana-3282	50	17	to	to	PART
cana-3282	50	18	handle	handle	VERB
cana-3282	50	19	new	new	ADJ
cana-3282	50	20	phishing	phishing	NOUN
cana-3282	50	21	tactics	tactic	NOUN
cana-3282	50	22	.	.	PUNCT
cana-3282	51	1	future	future	ADJ
cana-3282	51	2	improvements	improvement	NOUN
cana-3282	51	3	could	could	AUX
cana-3282	51	4	include	include	VERB
cana-3282	51	5	integration	integration	NOUN
cana-3282	51	6	with	with	ADP
cana-3282	51	7	other	other	ADJ
cana-3282	51	8	security	security	NOUN
cana-3282	51	9	tools	tool	NOUN
cana-3282	51	10	,	,	PUNCT
cana-3282	51	11	user	user	NOUN
cana-3282	51	12	feedback	feedback	NOUN
cana-3282	51	13	mechanisms	mechanism	NOUN
cana-3282	51	14	,	,	PUNCT
cana-3282	51	15	expanded	expand	VERB
cana-3282	51	16	feature	feature	NOUN
cana-3282	51	17	sets	set	NOUN
cana-3282	51	18	,	,	PUNCT
cana-3282	51	19	and	and	CCONJ
cana-3282	51	20	cross	cross	ADJ
cana-3282	51	21	-	-	ADJ
cana-3282	51	22	platform	platform	ADJ
cana-3282	51	23	support	support	NOUN
cana-3282	51	24	.	.	PUNCT
cana-3282	52	1	[	[	X
cana-3282	52	2	2	2	NUM
cana-3282	52	3	]	]	PUNCT
cana-3282	52	4	based	base	VERB
cana-3282	52	5	on	on	ADP
cana-3282	52	6	the	the	DET
cana-3282	52	7	type	type	NOUN
cana-3282	52	8	of	of	ADP
cana-3282	52	9	problem	problem	NOUN
cana-3282	52	10	,	,	PUNCT
cana-3282	52	11	the	the	DET
cana-3282	52	12	report	report	NOUN
cana-3282	52	13	focuses	focus	VERB
cana-3282	52	14	on	on	ADP
cana-3282	52	15	the	the	DET
cana-3282	52	16	issue	issue	NOUN
cana-3282	52	17	of	of	ADP
cana-3282	52	18	detecting	detect	VERB
cana-3282	52	19	phishing	phishe	VERB
cana-3282	52	20	by	by	ADP
cana-3282	52	21	using	use	VERB
cana-3282	52	22	machine	machine	NOUN
cana-3282	52	23	learning	learning	NOUN
cana-3282	52	24	for	for	ADP
cana-3282	52	25	url	url	NOUN
cana-3282	52	26	classification	classification	NOUN
cana-3282	52	27	.	.	PUNCT
cana-3282	53	1	when	when	SCONJ
cana-3282	53	2	compared	compare	VERB
cana-3282	53	3	with	with	ADP
cana-3282	53	4	other	other	ADJ
cana-3282	53	5	algorithms	algorithm	NOUN
cana-3282	53	6	,	,	PUNCT
cana-3282	53	7	the	the	DET
cana-3282	53	8	random	random	ADJ
cana-3282	53	9	forest	forest	NOUN
cana-3282	53	10	algorithm	algorithm	NOUN
cana-3282	53	11	had	have	VERB
cana-3282	53	12	a	a	DET
cana-3282	53	13	higher	high	ADJ
cana-3282	53	14	accuracy	accuracy	NOUN
cana-3282	53	15	of	of	ADP
cana-3282	53	16	94.8	94.8	NUM
cana-3282	53	17	%	%	NOUN
cana-3282	53	18	in	in	ADP
cana-3282	53	19	the	the	DET
cana-3282	53	20	training	training	NOUN
cana-3282	53	21	data	datum	NOUN
cana-3282	53	22	set	set	VERB
cana-3282	53	23	of	of	ADP
cana-3282	53	24	phishtank	phishtank	NOUN
cana-3282	53	25	and	and	CCONJ
cana-3282	53	26	95.87	95.87	NUM
cana-3282	53	27	%	%	NOUN
cana-3282	53	28	in	in	ADP
cana-3282	53	29	the	the	DET
cana-3282	53	30	training	training	NOUN
cana-3282	53	31	data	datum	NOUN
cana-3282	53	32	set	set	VERB
cana-3282	53	33	of	of	ADP
cana-3282	53	34	uci	uci	PROPN
cana-3282	53	35	.	.	PUNCT
cana-3282	54	1	however	however	ADV
cana-3282	54	2	,	,	PUNCT
cana-3282	54	3	despite	despite	SCONJ
cana-3282	54	4	its	its	PRON
cana-3282	54	5	high	high	ADJ
cana-3282	54	6	performance	performance	NOUN
cana-3282	54	7	,	,	PUNCT
cana-3282	54	8	the	the	DET
cana-3282	54	9	random	random	ADJ
cana-3282	54	10	forest	forest	NOUN
cana-3282	54	11	algorithm	algorithm	NOUN
cana-3282	54	12	faces	face	VERB
cana-3282	54	13	issues	issue	NOUN
cana-3282	54	14	with	with	ADP
cana-3282	54	15	computation	computation	NOUN
cana-3282	54	16	and	and	CCONJ
cana-3282	54	17	training	training	NOUN
cana-3282	54	18	time	time	NOUN
cana-3282	54	19	.	.	PUNCT
cana-3282	55	1	the	the	DET
cana-3282	55	2	negative	negative	ADJ
cana-3282	55	3	findings	finding	NOUN
cana-3282	55	4	shall	shall	AUX
cana-3282	55	5	in	in	ADP
cana-3282	55	6	the	the	DET
cana-3282	55	7	future	future	NOUN
cana-3282	55	8	be	be	AUX
cana-3282	55	9	used	use	VERB
cana-3282	55	10	to	to	PART
cana-3282	55	11	improve	improve	VERB
cana-3282	55	12	the	the	DET
cana-3282	55	13	algorithm	algorithm	NOUN
cana-3282	55	14	’s	’s	PART
cana-3282	55	15	performance	performance	NOUN
cana-3282	55	16	by	by	ADP
cana-3282	55	17	employing	employ	VERB
cana-3282	55	18	deep	deep	ADJ
cana-3282	55	19	learning	learning	NOUN
cana-3282	55	20	or	or	CCONJ
cana-3282	55	21	ensemble	ensemble	ADJ
cana-3282	55	22	methods	method	NOUN
cana-3282	55	23	to	to	PART
cana-3282	55	24	filter	filter	VERB
cana-3282	55	25	out	out	ADP
cana-3282	55	26	false	false	ADJ
cana-3282	55	27	positives	positive	NOUN
cana-3282	55	28	.	.	PUNCT
cana-3282	56	1	[	[	X
cana-3282	56	2	3	3	X
cana-3282	56	3	]	]	PUNCT
cana-3282	56	4	it	it	PRON
cana-3282	56	5	offers	offer	VERB
cana-3282	56	6	a	a	DET
cana-3282	56	7	machine	machine	NOUN
cana-3282	56	8	learning	learn	VERB
cana-3282	56	9	system	system	NOUN
cana-3282	56	10	for	for	ADP
cana-3282	56	11	detecting	detect	VERB
cana-3282	56	12	persuasive	persuasive	ADJ
cana-3282	56	13	websites	website	NOUN
cana-3282	56	14	as	as	ADP
cana-3282	56	15	an	an	DET
cana-3282	56	16	effective	effective	ADJ
cana-3282	56	17	means	mean	NOUN
cana-3282	56	18	of	of	ADP
cana-3282	56	19	combating	combat	VERB
cana-3282	56	20	deceptive	deceptive	ADJ
cana-3282	56	21	websites	website	NOUN
cana-3282	56	22	.	.	PUNCT
cana-3282	57	1	thus	thus	ADV
cana-3282	57	2	,	,	PUNCT
cana-3282	57	3	the	the	DET
cana-3282	57	4	model	model	NOUN
cana-3282	57	5	deals	deal	VERB
cana-3282	57	6	with	with	ADP
cana-3282	57	7	url	url	NOUN
cana-3282	57	8	and	and	CCONJ
cana-3282	57	9	html	html	NOUN
cana-3282	57	10	features	feature	VERB
cana-3282	57	11	over	over	ADP
cana-3282	57	12	the	the	DET
cana-3282	57	13	past	past	ADJ
cana-3282	57	14	two	two	NUM
cana-3282	57	15	decades	decade	NOUN
cana-3282	57	16	,	,	PUNCT
cana-3282	57	17	the	the	DET
cana-3282	57	18	rollout	rollout	NOUN
cana-3282	57	19	of	of	ADP
cana-3282	57	20	new	new	ADJ
cana-3282	57	21	innovative	innovative	ADJ
cana-3282	57	22	technologies	technology	NOUN
cana-3282	57	23	has	have	AUX
cana-3282	57	24	led	lead	VERB
cana-3282	57	25	to	to	ADP
cana-3282	57	26	a	a	DET
cana-3282	57	27	new	new	ADJ
cana-3282	57	28	wave	wave	NOUN
cana-3282	57	29	of	of	ADP
cana-3282	57	30	online	online	ADJ
cana-3282	57	31	trading	trading	NOUN
cana-3282	57	32	and	and	CCONJ
cana-3282	57	33	communication	communication	NOUN
cana-3282	57	34	developments	development	NOUN
cana-3282	57	35	that	that	PRON
cana-3282	57	36	affect	affect	VERB
cana-3282	57	37	every	every	DET
cana-3282	57	38	facet	facet	NOUN
cana-3282	57	39	of	of	ADP
cana-3282	57	40	people	people	NOUN
cana-3282	57	41	’s	’s	PART
cana-3282	57	42	lives	life	NOUN
cana-3282	57	43	,	,	PUNCT
cana-3282	57	44	whether	whether	SCONJ
cana-3282	57	45	it	it	PRON
cana-3282	57	46	is	be	AUX
cana-3282	57	47	in	in	ADP
cana-3282	57	48	the	the	DET
cana-3282	57	49	personal	personal	ADJ
cana-3282	57	50	,	,	PUNCT
cana-3282	57	51	business	business	NOUN
cana-3282	57	52	,	,	PUNCT
cana-3282	57	53	or	or	CCONJ
cana-3282	57	54	political	political	ADJ
cana-3282	57	55	realms	realm	NOUN
cana-3282	57	56	.	.	PUNCT
cana-3282	58	1	while	while	SCONJ
cana-3282	58	2	such	such	DET
cana-3282	58	3	a	a	DET
cana-3282	58	4	shift	shift	NOUN
cana-3282	58	5	has	have	AUX
cana-3282	58	6	opened	open	VERB
cana-3282	58	7	up	up	ADP
cana-3282	58	8	numerous	numerous	ADJ
cana-3282	58	9	advantages	advantage	NOUN
cana-3282	58	10	,	,	PUNCT
cana-3282	58	11	it	it	PRON
cana-3282	58	12	has	have	AUX
cana-3282	58	13	also	also	ADV
cana-3282	58	14	brought	bring	VERB
cana-3282	58	15	with	with	ADP
cana-3282	58	16	it	it	PRON
cana-3282	58	17	new	new	ADJ
cana-3282	58	18	forms	form	NOUN
cana-3282	58	19	of	of	ADP
cana-3282	58	20	risk	risk	NOUN
cana-3282	58	21	.	.	PUNCT
cana-3282	59	1	of	of	ADP
cana-3282	59	2	these	these	PRON
cana-3282	59	3	,	,	PUNCT
cana-3282	59	4	however	however	ADV
cana-3282	59	5	,	,	PUNCT
cana-3282	59	6	perhaps	perhaps	ADV
cana-3282	59	7	phishing	phishe	VERB
cana-3282	59	8	is	be	AUX
cana-3282	59	9	one	one	NUM
cana-3282	59	10	of	of	ADP
cana-3282	59	11	the	the	DET
cana-3282	59	12	most	most	ADV
cana-3282	59	13	widespread	widespread	ADJ
cana-3282	59	14	and	and	CCONJ
cana-3282	59	15	threatening	threatening	ADJ
cana-3282	59	16	types	type	NOUN
cana-3282	59	17	of	of	ADP
cana-3282	59	18	cyber	cyber	ADJ
cana-3282	59	19	threat	threat	NOUN
cana-3282	59	20	.	.	PUNCT
cana-3282	60	1	phishing	phishe	VERB
cana-3282	60	2	scams	scam	NOUN
cana-3282	60	3	deceive	deceive	VERB
cana-3282	60	4	people	people	NOUN
cana-3282	60	5	into	into	ADP
cana-3282	60	6	passing	pass	VERB
cana-3282	60	7	on	on	ADP
cana-3282	60	8	their	their	PRON
cana-3282	60	9	personal	personal	ADJ
cana-3282	60	10	data	datum	NOUN
cana-3282	60	11	like	like	ADP
cana-3282	60	12	usernames	username	NOUN
cana-3282	60	13	and	and	CCONJ
cana-3282	60	14	passwords	password	NOUN
cana-3282	60	15	and	and	CCONJ
cana-3282	60	16	other	other	ADJ
cana-3282	60	17	personal	personal	ADJ
cana-3282	60	18	information	information	NOUN
cana-3282	60	19	.	.	PUNCT
cana-3282	61	1	communications	communication	NOUN
cana-3282	61	2	on	on	ADP
cana-3282	61	3	applied	apply	VERB
cana-3282	61	4	nonlinear	nonlinear	ADJ
cana-3282	61	5	analysis	analysis	NOUN
cana-3282	61	6	issn	issn	NOUN
cana-3282	61	7	:	:	PUNCT
cana-3282	61	8	1074	1074	NUM
cana-3282	61	9	-	-	PUNCT
cana-3282	61	10	133x	133x	NUM
cana-3282	61	11	vol	vol	NOUN
cana-3282	61	12	32	32	NUM
cana-3282	61	13	no	no	NOUN
cana-3282	61	14	.	.	PUNCT
cana-3282	62	1	6s	6s	NUM
cana-3282	62	2	(	(	PUNCT
cana-3282	62	3	2025	2025	NUM
cana-3282	62	4	)	)	PUNCT
cana-3282	62	5	154	154	NUM
cana-3282	62	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	62	7	together	together	ADV
cana-3282	62	8	with	with	ADP
cana-3282	62	9	the	the	DET
cana-3282	62	10	help	help	NOUN
cana-3282	62	11	of	of	ADP
cana-3282	62	12	algorithms	algorithm	NOUN
cana-3282	62	13	such	such	ADJ
cana-3282	62	14	as	as	ADP
cana-3282	62	15	random	random	ADJ
cana-3282	62	16	forest	forest	NOUN
cana-3282	62	17	,	,	PUNCT
cana-3282	62	18	svm	svm	PROPN
cana-3282	62	19	,	,	PUNCT
cana-3282	62	20	and	and	CCONJ
cana-3282	62	21	logistic	logistic	ADJ
cana-3282	62	22	regression	regression	NOUN
cana-3282	62	23	;	;	PUNCT
cana-3282	62	24	random	random	ADJ
cana-3282	62	25	forest	forest	NOUN
cana-3282	62	26	accuracy	accuracy	NOUN
cana-3282	62	27	level	level	NOUN
cana-3282	62	28	is	be	AUX
cana-3282	62	29	94	94	NUM
cana-3282	62	30	%	%	NOUN
cana-3282	62	31	.	.	PUNCT
cana-3282	63	1	main	main	ADJ
cana-3282	63	2	advantages	advantage	NOUN
cana-3282	63	3	include	include	VERB
cana-3282	63	4	very	very	ADV
cana-3282	63	5	high	high	ADJ
cana-3282	63	6	detection	detection	NOUN
cana-3282	63	7	rate	rate	NOUN
cana-3282	63	8	and	and	CCONJ
cana-3282	63	9	ability	ability	NOUN
cana-3282	63	10	to	to	PART
cana-3282	63	11	respond	respond	VERB
cana-3282	63	12	automatically	automatically	ADV
cana-3282	63	13	;	;	PUNCT
cana-3282	63	14	the	the	DET
cana-3282	63	15	drawback	drawback	NOUN
cana-3282	63	16	is	be	AUX
cana-3282	63	17	that	that	SCONJ
cana-3282	63	18	feature	feature	NOUN
cana-3282	63	19	selection	selection	NOUN
cana-3282	63	20	is	be	AUX
cana-3282	63	21	decisive	decisive	ADJ
cana-3282	63	22	and	and	CCONJ
cana-3282	63	23	the	the	DET
cana-3282	63	24	algorithm	algorithm	NOUN
cana-3282	63	25	may	may	AUX
cana-3282	63	26	fail	fail	VERB
cana-3282	63	27	with	with	ADP
cana-3282	63	28	big	big	ADJ
cana-3282	63	29	amounts	amount	NOUN
cana-3282	63	30	of	of	ADP
cana-3282	63	31	data	datum	NOUN
cana-3282	63	32	.	.	PUNCT
cana-3282	64	1	further	further	ADJ
cana-3282	64	2	work	work	NOUN
cana-3282	64	3	seeks	seek	VERB
cana-3282	64	4	to	to	PART
cana-3282	64	5	add	add	VERB
cana-3282	64	6	deep	deep	ADJ
cana-3282	64	7	learning	learning	NOUN
cana-3282	64	8	features	feature	NOUN
cana-3282	64	9	and	and	CCONJ
cana-3282	64	10	make	make	VERB
cana-3282	64	11	the	the	DET
cana-3282	64	12	models	model	NOUN
cana-3282	64	13	more	more	ADV
cana-3282	64	14	responsive	responsive	ADJ
cana-3282	64	15	to	to	ADP
cana-3282	64	16	changes	change	NOUN
cana-3282	64	17	in	in	ADP
cana-3282	64	18	the	the	DET
cana-3282	64	19	phishing	phishe	VERB
cana-3282	64	20	methods	method	NOUN
cana-3282	64	21	.	.	PUNCT
cana-3282	65	1	[	[	X
cana-3282	65	2	4	4	X
cana-3282	65	3	]	]	PUNCT
cana-3282	65	4	to	to	PART
cana-3282	65	5	reduce	reduce	VERB
cana-3282	65	6	the	the	DET
cana-3282	65	7	rate	rate	NOUN
cana-3282	65	8	of	of	ADP
cana-3282	65	9	currently	currently	ADV
cana-3282	65	10	difficult	difficult	ADJ
cana-3282	65	11	-	-	PUNCT
cana-3282	65	12	to	to	AUX
cana-3282	65	13	-	-	PUNCT
cana-3282	65	14	detect	detect	VERB
cana-3282	65	15	phishing	phishing	NOUN
cana-3282	65	16	attacks	attack	NOUN
cana-3282	65	17	,	,	PUNCT
cana-3282	65	18	the	the	DET
cana-3282	65	19	report	report	NOUN
cana-3282	65	20	outlines	outline	VERB
cana-3282	65	21	a	a	DET
cana-3282	65	22	three	three	NUM
cana-3282	65	23	-	-	PUNCT
cana-3282	65	24	phased	phase	VERB
cana-3282	65	25	model	model	NOUN
cana-3282	65	26	that	that	PRON
cana-3282	65	27	integrates	integrate	VERB
cana-3282	65	28	dns	dns	NOUN
cana-3282	65	29	blacklists	blacklist	NOUN
cana-3282	65	30	,	,	PUNCT
cana-3282	65	31	heuristics	heuristic	NOUN
cana-3282	65	32	,	,	PUNCT
cana-3282	65	33	and	and	CCONJ
cana-3282	65	34	web	web	NOUN
cana-3282	65	35	crawlers	crawler	NOUN
cana-3282	65	36	.	.	PUNCT
cana-3282	66	1	neural	neural	ADJ
cana-3282	66	2	networks	network	NOUN
cana-3282	66	3	(	(	PUNCT
cana-3282	66	4	nn	nn	NOUN
cana-3282	66	5	)	)	PUNCT
cana-3282	66	6	,	,	PUNCT
cana-3282	66	7	svm	svm	PROPN
cana-3282	66	8	,	,	PUNCT
cana-3282	66	9	and	and	CCONJ
cana-3282	66	10	random	random	ADJ
cana-3282	66	11	forests	forest	NOUN
cana-3282	66	12	(	(	PUNCT
cana-3282	66	13	rf	rf	NOUN
cana-3282	66	14	)	)	PUNCT
cana-3282	66	15	predict	predict	VERB
cana-3282	66	16	phishing	phishe	VERB
cana-3282	66	17	sites	site	NOUN
cana-3282	66	18	using	use	VERB
cana-3282	66	19	url	url	NOUN
cana-3282	66	20	and	and	CCONJ
cana-3282	66	21	web	web	NOUN
cana-3282	66	22	traffic	traffic	NOUN
cana-3282	66	23	characteristics	characteristic	NOUN
cana-3282	66	24	as	as	ADP
cana-3282	66	25	the	the	DET
cana-3282	66	26	input	input	NOUN
cana-3282	66	27	vector	vector	NOUN
cana-3282	66	28	.	.	PUNCT
cana-3282	67	1	nn	nn	PROPN
cana-3282	67	2	recorded	record	VERB
cana-3282	67	3	95.18	95.18	NUM
cana-3282	67	4	%	%	NOUN
cana-3282	67	5	accuracy	accuracy	NOUN
cana-3282	67	6	,	,	PUNCT
cana-3282	67	7	with	with	ADP
cana-3282	67	8	svm	svm	PROPN
cana-3282	67	9	and	and	CCONJ
cana-3282	67	10	rf	rf	ADJ
cana-3282	67	11	being	be	AUX
cana-3282	67	12	the	the	DET
cana-3282	67	13	second	second	ADV
cana-3282	67	14	-	-	PUNCT
cana-3282	67	15	best	good	ADJ
cana-3282	67	16	performers	performer	NOUN
cana-3282	67	17	.	.	PUNCT
cana-3282	68	1	as	as	ADP
cana-3282	68	2	with	with	ADP
cana-3282	68	3	the	the	DET
cana-3282	68	4	previous	previous	ADJ
cana-3282	68	5	filters	filter	NOUN
cana-3282	68	6	,	,	PUNCT
cana-3282	68	7	strengths	strength	NOUN
cana-3282	68	8	include	include	VERB
cana-3282	68	9	high	high	ADJ
cana-3282	68	10	accuracy	accuracy	NOUN
cana-3282	68	11	and	and	CCONJ
cana-3282	68	12	real	real	ADJ
cana-3282	68	13	-	-	PUNCT
cana-3282	68	14	time	time	NOUN
cana-3282	68	15	detection	detection	NOUN
cana-3282	68	16	,	,	PUNCT
cana-3282	68	17	while	while	SCONJ
cana-3282	68	18	the	the	DET
cana-3282	68	19	potential	potential	ADJ
cana-3282	68	20	limitations	limitation	NOUN
cana-3282	68	21	are	be	AUX
cana-3282	68	22	associated	associate	VERB
cana-3282	68	23	with	with	ADP
cana-3282	68	24	the	the	DET
cana-3282	68	25	impossibility	impossibility	NOUN
cana-3282	68	26	of	of	ADP
cana-3282	68	27	handling	handle	VERB
cana-3282	68	28	zero	zero	NUM
cana-3282	68	29	-	-	PUNCT
cana-3282	68	30	day	day	NOUN
cana-3282	68	31	phishing	phishe	VERB
cana-3282	68	32	threats	threat	NOUN
cana-3282	68	33	.	.	PUNCT
cana-3282	69	1	future	future	ADJ
cana-3282	69	2	work	work	NOUN
cana-3282	69	3	plans	plan	VERB
cana-3282	69	4	to	to	PART
cana-3282	69	5	improve	improve	VERB
cana-3282	69	6	the	the	DET
cana-3282	69	7	models	model	NOUN
cana-3282	69	8	mentioned	mention	VERB
cana-3282	69	9	while	while	SCONJ
cana-3282	69	10	expanding	expand	VERB
cana-3282	69	11	the	the	DET
cana-3282	69	12	set	set	NOUN
cana-3282	69	13	of	of	ADP
cana-3282	69	14	features	feature	NOUN
cana-3282	69	15	used	use	VERB
cana-3282	69	16	to	to	PART
cana-3282	69	17	combat	combat	VERB
cana-3282	69	18	new	new	ADJ
cana-3282	69	19	kinds	kind	NOUN
cana-3282	69	20	of	of	ADP
cana-3282	69	21	phishing	phishe	VERB
cana-3282	69	22	.	.	PUNCT
cana-3282	70	1	[	[	X
cana-3282	70	2	5	5	X
cana-3282	70	3	]	]	PUNCT
cana-3282	70	4	it	it	PRON
cana-3282	70	5	uses	use	VERB
cana-3282	70	6	machine	machine	NOUN
cana-3282	70	7	learning	learn	VERB
cana-3282	70	8	to	to	PART
cana-3282	70	9	identify	identify	VERB
cana-3282	70	10	phishing	phishe	VERB
cana-3282	70	11	websites	website	NOUN
cana-3282	70	12	because	because	SCONJ
cana-3282	70	13	typical	typical	ADJ
cana-3282	70	14	blacklists	blacklist	NOUN
cana-3282	70	15	and	and	CCONJ
cana-3282	70	16	heuristics	heuristic	NOUN
cana-3282	70	17	can	can	AUX
cana-3282	70	18	not	not	PART
cana-3282	70	19	cope	cope	VERB
cana-3282	70	20	with	with	ADP
cana-3282	70	21	developing	develop	VERB
cana-3282	70	22	attacks	attack	NOUN
cana-3282	70	23	and	and	CCONJ
cana-3282	70	24	may	may	AUX
cana-3282	70	25	generate	generate	VERB
cana-3282	70	26	abundant	abundant	ADJ
cana-3282	70	27	false	false	ADJ
cana-3282	70	28	positives	positive	NOUN
cana-3282	70	29	.	.	PUNCT
cana-3282	71	1	the	the	DET
cana-3282	71	2	decision	decision	NOUN
cana-3282	71	3	tree	tree	NOUN
cana-3282	71	4	,	,	PUNCT
cana-3282	71	5	random	random	ADJ
cana-3282	71	6	forest	forest	NOUN
cana-3282	71	7	,	,	PUNCT
cana-3282	71	8	and	and	CCONJ
cana-3282	71	9	svm	svm	ADJ
cana-3282	71	10	model	model	NOUN
cana-3282	71	11	investigates	investigate	VERB
cana-3282	71	12	key	key	ADJ
cana-3282	71	13	aspects	aspect	NOUN
cana-3282	71	14	that	that	PRON
cana-3282	71	15	include	include	VERB
cana-3282	71	16	usage	usage	NOUN
cana-3282	71	17	of	of	ADP
cana-3282	71	18	ip	ip	NOUN
cana-3282	71	19	,	,	PUNCT
cana-3282	71	20	symbols	symbol	NOUN
cana-3282	71	21	in	in	ADP
cana-3282	71	22	the	the	DET
cana-3282	71	23	links	link	NOUN
cana-3282	71	24	,	,	PUNCT
cana-3282	71	25	and	and	CCONJ
cana-3282	71	26	the	the	DET
cana-3282	71	27	length	length	NOUN
cana-3282	71	28	of	of	ADP
cana-3282	71	29	the	the	DET
cana-3282	71	30	url	url	NOUN
cana-3282	71	31	.	.	PUNCT
cana-3282	72	1	random	random	ADJ
cana-3282	72	2	forest	forest	NOUN
cana-3282	72	3	had	have	VERB
cana-3282	72	4	the	the	DET
cana-3282	72	5	best	good	ADJ
cana-3282	72	6	trade	trade	NOUN
cana-3282	72	7	-	-	PUNCT
cana-3282	72	8	off	off	NOUN
cana-3282	72	9	upholding	uphold	VERB
cana-3282	72	10	both	both	CCONJ
cana-3282	72	11	the	the	DET
cana-3282	72	12	highest	high	ADJ
cana-3282	72	13	accuracy	accuracy	NOUN
cana-3282	72	14	at	at	ADP
cana-3282	72	15	95.14	95.14	NUM
cana-3282	72	16	%	%	NOUN
cana-3282	72	17	and	and	CCONJ
cana-3282	72	18	the	the	DET
cana-3282	72	19	least	least	ADJ
cana-3282	72	20	number	number	NOUN
cana-3282	72	21	of	of	ADP
cana-3282	72	22	false	false	ADJ
cana-3282	72	23	positives	positive	NOUN
cana-3282	72	24	.	.	PUNCT
cana-3282	73	1	despite	despite	SCONJ
cana-3282	73	2	its	its	PRON
cana-3282	73	3	effectiveness	effectiveness	NOUN
cana-3282	73	4	and	and	CCONJ
cana-3282	73	5	easy	easy	ADJ
cana-3282	73	6	applicability	applicability	NOUN
cana-3282	73	7	,	,	PUNCT
cana-3282	73	8	this	this	DET
cana-3282	73	9	strategy	strategy	NOUN
cana-3282	73	10	requires	require	VERB
cana-3282	73	11	large	large	ADJ
cana-3282	73	12	datasets	dataset	NOUN
cana-3282	73	13	and	and	CCONJ
cana-3282	73	14	problems	problem	NOUN
cana-3282	73	15	with	with	ADP
cana-3282	73	16	complex	complex	ADJ
cana-3282	73	17	phishing	phishe	VERB
cana-3282	73	18	methods	method	NOUN
cana-3282	73	19	.	.	PUNCT
cana-3282	74	1	it	it	PRON
cana-3282	74	2	is	be	AUX
cana-3282	74	3	possible	possible	ADJ
cana-3282	74	4	to	to	PART
cana-3282	74	5	imagine	imagine	VERB
cana-3282	74	6	that	that	SCONJ
cana-3282	74	7	in	in	ADP
cana-3282	74	8	future	future	NOUN
cana-3282	74	9	,	,	PUNCT
cana-3282	74	10	developments	development	NOUN
cana-3282	74	11	will	will	AUX
cana-3282	74	12	apply	apply	VERB
cana-3282	74	13	blacklists	blacklist	NOUN
cana-3282	74	14	with	with	ADP
cana-3282	74	15	deep	deep	ADJ
cana-3282	74	16	learning	learning	NOUN
cana-3282	74	17	and	and	CCONJ
cana-3282	74	18	obtain	obtain	VERB
cana-3282	74	19	a	a	DET
cana-3282	74	20	higher	high	ADJ
cana-3282	74	21	degree	degree	NOUN
cana-3282	74	22	of	of	ADP
cana-3282	74	23	accuracy	accuracy	NOUN
cana-3282	74	24	.	.	PUNCT
cana-3282	75	1	[	[	X
cana-3282	75	2	6	6	NUM
cana-3282	75	3	]	]	PUNCT
cana-3282	75	4	a	a	DET
cana-3282	75	5	case	case	NOUN
cana-3282	75	6	of	of	ADP
cana-3282	75	7	a	a	DET
cana-3282	75	8	phishing	phishe	VERB
cana-3282	75	9	detection	detection	NOUN
cana-3282	75	10	system	system	NOUN
cana-3282	75	11	using	use	VERB
cana-3282	75	12	the	the	DET
cana-3282	75	13	svm	svm	ADJ
cana-3282	75	14	algorithm	algorithm	NOUN
cana-3282	75	15	to	to	PART
cana-3282	75	16	analyse	analyse	PROPN
cana-3282	75	17	url	url	PROPN
cana-3282	75	18	features	feature	NOUN
cana-3282	75	19	is	be	AUX
cana-3282	75	20	well	well	ADV
cana-3282	75	21	described	describe	VERB
cana-3282	75	22	,	,	PUNCT
cana-3282	75	23	with	with	ADP
cana-3282	75	24	its	its	PRON
cana-3282	75	25	high	high	ADJ
cana-3282	75	26	accuracy	accuracy	NOUN
cana-3282	75	27	of	of	ADP
cana-3282	75	28	95.66	95.66	NUM
cana-3282	75	29	%	%	NOUN
cana-3282	75	30	and	and	CCONJ
cana-3282	75	31	the	the	DET
cana-3282	75	32	ability	ability	NOUN
cana-3282	75	33	to	to	PART
cana-3282	75	34	detect	detect	VERB
cana-3282	75	35	newly	newly	ADV
cana-3282	75	36	emerged	emerge	VERB
cana-3282	75	37	phishing	phishe	VERB
cana-3282	75	38	sites	site	NOUN
cana-3282	75	39	with	with	ADP
cana-3282	75	40	very	very	ADV
cana-3282	75	41	few	few	ADJ
cana-3282	75	42	false	false	ADJ
cana-3282	75	43	positives	positive	NOUN
cana-3282	75	44	.	.	PUNCT
cana-3282	76	1	the	the	DET
cana-3282	76	2	important	important	ADJ
cana-3282	76	3	plus	plus	CCONJ
cana-3282	76	4	is	be	AUX
cana-3282	76	5	high	high	ADJ
cana-3282	76	6	accuracy	accuracy	NOUN
cana-3282	76	7	when	when	SCONJ
cana-3282	76	8	using	use	VERB
cana-3282	76	9	fewer	few	ADJ
cana-3282	76	10	features	feature	NOUN
cana-3282	76	11	.	.	PUNCT
cana-3282	77	1	as	as	ADP
cana-3282	77	2	a	a	DET
cana-3282	77	3	drawback	drawback	NOUN
cana-3282	77	4	,	,	PUNCT
cana-3282	77	5	it	it	PRON
cana-3282	77	6	must	must	AUX
cana-3282	77	7	be	be	AUX
cana-3282	77	8	mentioned	mention	VERB
cana-3282	77	9	that	that	SCONJ
cana-3282	77	10	using	use	VERB
cana-3282	77	11	only	only	ADJ
cana-3282	77	12	feature	feature	NOUN
cana-3282	77	13	extraction	extraction	NOUN
cana-3282	77	14	can	can	AUX
cana-3282	77	15	sometimes	sometimes	ADV
cana-3282	77	16	overlook	overlook	VERB
cana-3282	77	17	some	some	DET
cana-3282	77	18	indicators	indicator	NOUN
cana-3282	77	19	of	of	ADP
cana-3282	77	20	phishing	phishe	VERB
cana-3282	77	21	.	.	PUNCT
cana-3282	78	1	further	further	ADJ
cana-3282	78	2	enhancements	enhancement	NOUN
cana-3282	78	3	can	can	AUX
cana-3282	78	4	examine	examine	VERB
cana-3282	78	5	more	more	ADJ
cana-3282	78	6	approaches	approach	NOUN
cana-3282	78	7	to	to	PART
cana-3282	78	8	feature	feature	VERB
cana-3282	78	9	selection	selection	NOUN
cana-3282	78	10	and	and	CCONJ
cana-3282	78	11	usage	usage	NOUN
cana-3282	78	12	of	of	ADP
cana-3282	78	13	other	other	ADJ
cana-3282	78	14	classifiers	classifier	NOUN
cana-3282	78	15	’	'	PUNCT
cana-3282	78	16	improving	improve	VERB
cana-3282	78	17	detection	detection	NOUN
cana-3282	78	18	rate	rate	NOUN
cana-3282	78	19	.	.	PUNCT
cana-3282	79	1	[	[	X
cana-3282	79	2	7	7	X
cana-3282	79	3	]	]	PUNCT
cana-3282	79	4	this	this	PRON
cana-3282	79	5	concerns	concern	VERB
cana-3282	79	6	itself	itself	PRON
cana-3282	79	7	with	with	ADP
cana-3282	79	8	the	the	DET
cana-3282	79	9	detection	detection	NOUN
cana-3282	79	10	of	of	ADP
cana-3282	79	11	phishing	phishe	VERB
cana-3282	79	12	with	with	ADP
cana-3282	79	13	specific	specific	ADJ
cana-3282	79	14	consideration	consideration	NOUN
cana-3282	79	15	of	of	ADP
cana-3282	79	16	zero	zero	NUM
cana-3282	79	17	-	-	PUNCT
cana-3282	79	18	day	day	NOUN
cana-3282	79	19	attack	attack	NOUN
cana-3282	79	20	cases	case	NOUN
cana-3282	79	21	that	that	PRON
cana-3282	79	22	can	can	AUX
cana-3282	79	23	not	not	PART
cana-3282	79	24	be	be	AUX
cana-3282	79	25	detected	detect	VERB
cana-3282	79	26	by	by	ADP
cana-3282	79	27	blacklists	blacklist	NOUN
cana-3282	79	28	.	.	PUNCT
cana-3282	80	1	the	the	DET
cana-3282	80	2	solution	solution	NOUN
cana-3282	80	3	involves	involve	VERB
cana-3282	80	4	seven	seven	NUM
cana-3282	80	5	classifiers	classifier	NOUN
cana-3282	80	6	with	with	ADP
cana-3282	80	7	feature	feature	NOUN
cana-3282	80	8	extraction	extraction	NOUN
cana-3282	80	9	done	do	VERB
cana-3282	80	10	by	by	ADP
cana-3282	80	11	nlp	nlp	NOUN
cana-3282	80	12	;	;	PUNCT
cana-3282	80	13	out	out	ADP
cana-3282	80	14	of	of	ADP
cana-3282	80	15	the	the	DET
cana-3282	80	16	seven	seven	NUM
cana-3282	80	17	,	,	PUNCT
cana-3282	80	18	the	the	DET
cana-3282	80	19	random	random	ADJ
cana-3282	80	20	forest	forest	NOUN
cana-3282	80	21	classifier	classifier	NOUN
cana-3282	80	22	gave	give	VERB
cana-3282	80	23	the	the	DET
cana-3282	80	24	best	good	ADJ
cana-3282	80	25	result	result	NOUN
cana-3282	80	26	with	with	ADP
cana-3282	80	27	a	a	DET
cana-3282	80	28	95.98	95.98	NUM
cana-3282	80	29	%	%	NOUN
cana-3282	80	30	accuracy	accuracy	NOUN
cana-3282	80	31	.	.	PUNCT
cana-3282	81	1	a	a	DET
cana-3282	81	2	significant	significant	ADJ
cana-3282	81	3	advantage	advantage	NOUN
cana-3282	81	4	includes	include	VERB
cana-3282	81	5	the	the	DET
cana-3282	81	6	real	real	ADJ
cana-3282	81	7	-	-	PUNCT
cana-3282	81	8	time	time	NOUN
cana-3282	81	9	capability	capability	NOUN
cana-3282	81	10	,	,	PUNCT
cana-3282	81	11	language	language	NOUN
cana-3282	81	12	neutrality	neutrality	NOUN
cana-3282	81	13	,	,	PUNCT
cana-3282	81	14	and	and	CCONJ
cana-3282	81	15	ability	ability	NOUN
cana-3282	81	16	to	to	PART
cana-3282	81	17	detect	detect	VERB
cana-3282	81	18	new	new	ADJ
cana-3282	81	19	phishing	phishing	NOUN
cana-3282	81	20	sites	site	NOUN
cana-3282	81	21	without	without	ADP
cana-3282	81	22	external	external	ADJ
cana-3282	81	23	tools	tool	NOUN
cana-3282	81	24	.	.	PUNCT
cana-3282	82	1	however	however	ADV
cana-3282	82	2	,	,	PUNCT
cana-3282	82	3	it	it	PRON
cana-3282	82	4	has	have	VERB
cana-3282	82	5	some	some	DET
cana-3282	82	6	drawbacks	drawback	NOUN
cana-3282	82	7	,	,	PUNCT
cana-3282	82	8	such	such	ADJ
cana-3282	82	9	as	as	ADP
cana-3282	82	10	problems	problem	NOUN
cana-3282	82	11	with	with	ADP
cana-3282	82	12	very	very	ADV
cana-3282	82	13	short	short	ADJ
cana-3282	82	14	urls	url	NOUN
cana-3282	82	15	and	and	CCONJ
cana-3282	82	16	a	a	DET
cana-3282	82	17	great	great	ADJ
cana-3282	82	18	number	number	NOUN
cana-3282	82	19	of	of	ADP
cana-3282	82	20	computations	computation	NOUN
cana-3282	82	21	required	require	VERB
cana-3282	82	22	.	.	PUNCT
cana-3282	83	1	this	this	DET
cana-3282	83	2	research	research	NOUN
cana-3282	83	3	identifies	identify	VERB
cana-3282	83	4	future	future	ADJ
cana-3282	83	5	directions	direction	NOUN
cana-3282	83	6	,	,	PUNCT
cana-3282	83	7	including	include	VERB
cana-3282	83	8	improving	improve	VERB
cana-3282	83	9	the	the	DET
cana-3282	83	10	feature	feature	NOUN
cana-3282	83	11	selection	selection	NOUN
cana-3282	83	12	process	process	NOUN
cana-3282	83	13	and	and	CCONJ
cana-3282	83	14	using	use	VERB
cana-3282	83	15	combined	combined	ADJ
cana-3282	83	16	approaches	approach	NOUN
cana-3282	83	17	to	to	PART
cana-3282	83	18	improve	improve	VERB
cana-3282	83	19	the	the	DET
cana-3282	83	20	detection	detection	NOUN
cana-3282	83	21	.	.	PUNCT
cana-3282	84	1	[	[	X
cana-3282	84	2	8	8	X
cana-3282	84	3	]	]	PUNCT
cana-3282	84	4	the	the	DET
cana-3282	84	5	concern	concern	NOUN
cana-3282	84	6	of	of	ADP
cana-3282	84	7	the	the	DET
cana-3282	84	8	research	research	NOUN
cana-3282	84	9	is	be	AUX
cana-3282	84	10	laid	lay	VERB
cana-3282	84	11	more	more	ADV
cana-3282	84	12	on	on	ADP
cana-3282	84	13	identifying	identify	VERB
cana-3282	84	14	phishing	phishe	VERB
cana-3282	84	15	sites	site	NOUN
cana-3282	84	16	,	,	PUNCT
cana-3282	84	17	particularly	particularly	ADV
cana-3282	84	18	zero	zero	NUM
cana-3282	84	19	-	-	PUNCT
cana-3282	84	20	hour	hour	NOUN
cana-3282	84	21	attacks	attack	NOUN
cana-3282	84	22	,	,	PUNCT
cana-3282	84	23	using	use	VERB
cana-3282	84	24	machine	machine	NOUN
cana-3282	84	25	learning	learning	NOUN
cana-3282	84	26	and	and	CCONJ
cana-3282	84	27	deep	deep	ADJ
cana-3282	84	28	learning	learning	NOUN
cana-3282	84	29	approaches	approach	NOUN
cana-3282	84	30	such	such	ADJ
cana-3282	84	31	as	as	ADP
cana-3282	84	32	cnn	cnn	PROPN
cana-3282	84	33	,	,	PUNCT
cana-3282	84	34	and	and	CCONJ
cana-3282	84	35	the	the	DET
cana-3282	84	36	findings	finding	NOUN
cana-3282	84	37	established	establish	VERB
cana-3282	84	38	an	an	DET
cana-3282	84	39	accuracy	accuracy	NOUN
cana-3282	84	40	of	of	ADP
cana-3282	84	41	99.98	99.98	NUM
cana-3282	84	42	%	%	NOUN
cana-3282	84	43	.	.	PUNCT
cana-3282	85	1	this	this	DET
cana-3282	85	2	paper	paper	NOUN
cana-3282	85	3	discusses	discuss	VERB
cana-3282	85	4	80	80	NUM
cana-3282	85	5	articles	article	NOUN
cana-3282	85	6	,	,	PUNCT
cana-3282	85	7	tracing	trace	VERB
cana-3282	85	8	trends	trend	NOUN
cana-3282	85	9	in	in	ADP
cana-3282	85	10	datasets	dataset	NOUN
cana-3282	85	11	,	,	PUNCT
cana-3282	85	12	algorithms	algorithm	NOUN
cana-3282	85	13	,	,	PUNCT
cana-3282	85	14	and	and	CCONJ
cana-3282	85	15	performance	performance	NOUN
cana-3282	85	16	measures	measure	NOUN
cana-3282	85	17	.	.	PUNCT
cana-3282	86	1	the	the	DET
cana-3282	86	2	main	main	ADJ
cana-3282	86	3	advantages	advantage	NOUN
cana-3282	86	4	of	of	ADP
cana-3282	86	5	machine	machine	NOUN
cana-3282	86	6	learning	learning	NOUN
cana-3282	86	7	-	-	PUNCT
cana-3282	86	8	based	base	VERB
cana-3282	86	9	solutions	solution	NOUN
cana-3282	86	10	are	be	AUX
cana-3282	86	11	high	high	ADJ
cana-3282	86	12	detection	detection	NOUN
cana-3282	86	13	rates	rate	NOUN
cana-3282	86	14	and	and	CCONJ
cana-3282	86	15	flexibility	flexibility	NOUN
cana-3282	86	16	,	,	PUNCT
cana-3282	86	17	while	while	SCONJ
cana-3282	86	18	main	main	ADJ
cana-3282	86	19	separators	separator	NOUN
cana-3282	86	20	either	either	CCONJ
cana-3282	86	21	rely	rely	VERB
cana-3282	86	22	on	on	ADP
cana-3282	86	23	datasets	dataset	NOUN
cana-3282	86	24	that	that	PRON
cana-3282	86	25	should	should	AUX
cana-3282	86	26	be	be	AUX
cana-3282	86	27	updated	update	VERB
cana-3282	86	28	regularly	regularly	ADV
cana-3282	86	29	or	or	CCONJ
cana-3282	86	30	communications	communication	NOUN
cana-3282	86	31	on	on	ADP
cana-3282	86	32	applied	apply	VERB
cana-3282	86	33	nonlinear	nonlinear	ADJ
cana-3282	86	34	analysis	analysis	NOUN
cana-3282	86	35	issn	issn	NOUN
cana-3282	86	36	:	:	PUNCT
cana-3282	86	37	1074	1074	NUM
cana-3282	86	38	-	-	PUNCT
cana-3282	86	39	133x	133x	NUM
cana-3282	86	40	vol	vol	NOUN
cana-3282	86	41	32	32	NUM
cana-3282	86	42	no	no	NOUN
cana-3282	86	43	.	.	PUNCT
cana-3282	87	1	6s	6s	NUM
cana-3282	87	2	(	(	PUNCT
cana-3282	87	3	2025	2025	NUM
cana-3282	87	4	)	)	PUNCT
cana-3282	87	5	155	155	NUM
cana-3282	87	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	87	7	have	have	VERB
cana-3282	87	8	issues	issue	NOUN
cana-3282	87	9	related	relate	VERB
cana-3282	87	10	to	to	ADP
cana-3282	87	11	zero	zero	NUM
cana-3282	87	12	-	-	PUNCT
cana-3282	87	13	day	day	NOUN
cana-3282	87	14	attacks	attack	NOUN
cana-3282	87	15	.	.	PUNCT
cana-3282	88	1	future	future	ADJ
cana-3282	88	2	work	work	NOUN
cana-3282	88	3	will	will	AUX
cana-3282	88	4	refine	refine	VERB
cana-3282	88	5	deep	deep	ADJ
cana-3282	88	6	learning	learning	NOUN
cana-3282	88	7	models	model	NOUN
cana-3282	88	8	and	and	CCONJ
cana-3282	88	9	consider	consider	VERB
cana-3282	88	10	a	a	DET
cana-3282	88	11	combination	combination	NOUN
cana-3282	88	12	of	of	ADP
cana-3282	88	13	approaches	approach	NOUN
cana-3282	88	14	in	in	ADP
cana-3282	88	15	order	order	NOUN
cana-3282	88	16	to	to	PART
cana-3282	88	17	improve	improve	VERB
cana-3282	88	18	their	their	PRON
cana-3282	88	19	performance	performance	NOUN
cana-3282	88	20	.	.	PUNCT
cana-3282	89	1	[	[	X
cana-3282	89	2	9][10	9][10	NUM
cana-3282	89	3	]	]	X
cana-3282	89	4	understanding	understand	VERB
cana-3282	89	5	new	new	ADJ
cana-3282	89	6	and	and	CCONJ
cana-3282	89	7	advanced	advanced	ADJ
cana-3282	89	8	methods	method	NOUN
cana-3282	89	9	of	of	ADP
cana-3282	89	10	phishing	phishe	VERB
cana-3282	89	11	is	be	AUX
cana-3282	89	12	the	the	DET
cana-3282	89	13	question	question	NOUN
cana-3282	89	14	answered	answer	VERB
cana-3282	89	15	in	in	ADP
cana-3282	89	16	the	the	DET
cana-3282	89	17	paper	paper	NOUN
cana-3282	89	18	with	with	ADP
cana-3282	89	19	reference	reference	NOUN
cana-3282	89	20	to	to	ADP
cana-3282	89	21	recommendations	recommendation	NOUN
cana-3282	89	22	based	base	VERB
cana-3282	89	23	on	on	ADP
cana-3282	89	24	ai	ai	PRON
cana-3282	89	25	approaches	approach	NOUN
cana-3282	89	26	,	,	PUNCT
cana-3282	89	27	including	include	VERB
cana-3282	89	28	ml	ml	PROPN
cana-3282	89	29	,	,	PUNCT
cana-3282	89	30	dl	dl	PROPN
cana-3282	89	31	,	,	PUNCT
cana-3282	89	32	hl	hl	NOUN
cana-3282	89	33	,	,	PUNCT
cana-3282	89	34	and	and	CCONJ
cana-3282	89	35	sb	sb	NOUN
cana-3282	89	36	.	.	PUNCT
cana-3282	90	1	it	it	PRON
cana-3282	90	2	compares	compare	VERB
cana-3282	90	3	these	these	DET
cana-3282	90	4	approaches	approach	NOUN
cana-3282	90	5	,	,	PUNCT
cana-3282	90	6	stressing	stress	VERB
cana-3282	90	7	that	that	SCONJ
cana-3282	90	8	,	,	PUNCT
cana-3282	90	9	while	while	SCONJ
cana-3282	90	10	such	such	ADJ
cana-3282	90	11	methods	method	NOUN
cana-3282	90	12	as	as	SCONJ
cana-3282	90	13	the	the	DET
cana-3282	90	14	neural	neural	ADJ
cana-3282	90	15	networks	network	NOUN
cana-3282	90	16	provide	provide	VERB
cana-3282	90	17	high	high	ADJ
cana-3282	90	18	accuracy	accuracy	NOUN
cana-3282	90	19	,	,	PUNCT
cana-3282	90	20	they	they	PRON
cana-3282	90	21	are	be	AUX
cana-3282	90	22	rather	rather	ADV
cana-3282	90	23	computationally	computationally	ADV
cana-3282	90	24	intensive	intensive	ADJ
cana-3282	90	25	and	and	CCONJ
cana-3282	90	26	data	datum	NOUN
cana-3282	90	27	sensitive	sensitive	ADJ
cana-3282	90	28	.	.	PUNCT
cana-3282	91	1	the	the	DET
cana-3282	91	2	study	study	NOUN
cana-3282	91	3	implies	imply	VERB
cana-3282	91	4	the	the	DET
cana-3282	91	5	need	need	NOUN
cana-3282	91	6	for	for	ADP
cana-3282	91	7	further	further	ADJ
cana-3282	91	8	research	research	NOUN
cana-3282	91	9	on	on	ADP
cana-3282	91	10	the	the	DET
cana-3282	91	11	integrated	integrate	VERB
cana-3282	91	12	approaches	approach	NOUN
cana-3282	91	13	that	that	PRON
cana-3282	91	14	include	include	VERB
cana-3282	91	15	several	several	ADJ
cana-3282	91	16	methods	method	NOUN
cana-3282	91	17	to	to	PART
cana-3282	91	18	increase	increase	VERB
cana-3282	91	19	the	the	DET
cana-3282	91	20	effectiveness	effectiveness	NOUN
cana-3282	91	21	of	of	ADP
cana-3282	91	22	threat	threat	NOUN
cana-3282	91	23	detection	detection	NOUN
cana-3282	91	24	,	,	PUNCT
cana-3282	91	25	its	its	PRON
cana-3282	91	26	capabilities	capability	NOUN
cana-3282	91	27	,	,	PUNCT
cana-3282	91	28	and	and	CCONJ
cana-3282	91	29	flexibility	flexibility	NOUN
cana-3282	91	30	in	in	ADP
cana-3282	91	31	the	the	DET
cana-3282	91	32	context	context	NOUN
cana-3282	91	33	of	of	ADP
cana-3282	91	34	new	new	ADJ
cana-3282	91	35	threats	threat	NOUN
cana-3282	91	36	.	.	PUNCT
cana-3282	92	1	[	[	X
cana-3282	92	2	11][12	11][12	X
cana-3282	92	3	]	]	X
cana-3282	92	4	.	.	PUNCT
cana-3282	93	1	3	3	X
cana-3282	93	2	.	.	X
cana-3282	93	3	problem	problem	NOUN
cana-3282	93	4	statement	statement	NOUN
cana-3282	93	5	phishing	phishe	VERB
cana-3282	93	6	attacks	attack	NOUN
cana-3282	93	7	have	have	AUX
cana-3282	93	8	become	become	VERB
cana-3282	93	9	one	one	NUM
cana-3282	93	10	of	of	ADP
cana-3282	93	11	the	the	DET
cana-3282	93	12	most	most	ADV
cana-3282	93	13	common	common	ADJ
cana-3282	93	14	and	and	CCONJ
cana-3282	93	15	dangerous	dangerous	ADJ
cana-3282	93	16	cybersecurity	cybersecurity	NOUN
cana-3282	93	17	threats	threat	NOUN
cana-3282	93	18	,	,	PUNCT
cana-3282	93	19	exploiting	exploit	VERB
cana-3282	93	20	human	human	ADJ
cana-3282	93	21	vulnerabilities	vulnerability	NOUN
cana-3282	93	22	to	to	PART
cana-3282	93	23	steal	steal	VERB
cana-3282	93	24	sensitive	sensitive	ADJ
cana-3282	93	25	information	information	NOUN
cana-3282	93	26	by	by	ADP
cana-3282	93	27	impersonating	impersonate	VERB
cana-3282	93	28	trusted	trusted	ADJ
cana-3282	93	29	entities	entity	NOUN
cana-3282	93	30	.	.	PUNCT
cana-3282	94	1	traditional	traditional	ADJ
cana-3282	94	2	phishing	phishe	VERB
cana-3282	94	3	detection	detection	NOUN
cana-3282	94	4	methods	method	NOUN
cana-3282	94	5	,	,	PUNCT
cana-3282	94	6	such	such	ADJ
cana-3282	94	7	as	as	ADP
cana-3282	94	8	blacklists	blacklist	NOUN
cana-3282	94	9	and	and	CCONJ
cana-3282	94	10	heuristic	heuristic	NOUN
cana-3282	94	11	-	-	PUNCT
cana-3282	94	12	based	base	VERB
cana-3282	94	13	approaches	approach	NOUN
cana-3282	94	14	,	,	PUNCT
cana-3282	94	15	are	be	AUX
cana-3282	94	16	increasingly	increasingly	ADV
cana-3282	94	17	inadequate	inadequate	ADJ
cana-3282	94	18	in	in	ADP
cana-3282	94	19	the	the	DET
cana-3282	94	20	face	face	NOUN
cana-3282	94	21	of	of	ADP
cana-3282	94	22	modern	modern	ADJ
cana-3282	94	23	,	,	PUNCT
cana-3282	94	24	sophisticated	sophisticated	ADJ
cana-3282	94	25	phishing	phishing	NOUN
cana-3282	94	26	tactics	tactic	NOUN
cana-3282	94	27	.	.	PUNCT
cana-3282	95	1	these	these	DET
cana-3282	95	2	conventional	conventional	ADJ
cana-3282	95	3	methods	method	NOUN
cana-3282	95	4	struggle	struggle	VERB
cana-3282	95	5	to	to	PART
cana-3282	95	6	keep	keep	VERB
cana-3282	95	7	up	up	ADP
cana-3282	95	8	with	with	ADP
cana-3282	95	9	the	the	DET
cana-3282	95	10	rapid	rapid	ADJ
cana-3282	95	11	creation	creation	NOUN
cana-3282	95	12	and	and	CCONJ
cana-3282	95	13	deactivation	deactivation	NOUN
cana-3282	95	14	of	of	ADP
cana-3282	95	15	phishing	phishe	VERB
cana-3282	95	16	websites	website	NOUN
cana-3282	95	17	,	,	PUNCT
cana-3282	95	18	which	which	PRON
cana-3282	95	19	often	often	ADV
cana-3282	95	20	have	have	VERB
cana-3282	95	21	short	short	ADJ
cana-3282	95	22	lifespans	lifespan	NOUN
cana-3282	95	23	,	,	PUNCT
cana-3282	95	24	and	and	CCONJ
cana-3282	95	25	fail	fail	VERB
cana-3282	95	26	to	to	PART
cana-3282	95	27	detect	detect	VERB
cana-3282	95	28	novel	novel	ADJ
cana-3282	95	29	phishing	phishing	NOUN
cana-3282	95	30	techniques	technique	NOUN
cana-3282	95	31	that	that	PRON
cana-3282	95	32	use	use	VERB
cana-3282	95	33	url	url	NOUN
cana-3282	95	34	obfuscation	obfuscation	NOUN
cana-3282	95	35	,	,	PUNCT
cana-3282	95	36	https	https	NOUN
cana-3282	95	37	encryption	encryption	NOUN
cana-3282	95	38	,	,	PUNCT
cana-3282	95	39	and	and	CCONJ
cana-3282	95	40	domain	domain	NOUN
cana-3282	95	41	manipulation	manipulation	NOUN
cana-3282	95	42	to	to	PART
cana-3282	95	43	appear	appear	VERB
cana-3282	95	44	legitimate	legitimate	ADJ
cana-3282	95	45	.	.	PUNCT
cana-3282	96	1	given	give	VERB
cana-3282	96	2	the	the	DET
cana-3282	96	3	growing	grow	VERB
cana-3282	96	4	scale	scale	NOUN
cana-3282	96	5	and	and	CCONJ
cana-3282	96	6	complexity	complexity	NOUN
cana-3282	96	7	of	of	ADP
cana-3282	96	8	phishing	phishe	VERB
cana-3282	96	9	attacks	attack	NOUN
cana-3282	96	10	,	,	PUNCT
cana-3282	96	11	there	there	PRON
cana-3282	96	12	is	be	VERB
cana-3282	96	13	a	a	DET
cana-3282	96	14	critical	critical	ADJ
cana-3282	96	15	need	need	NOUN
cana-3282	96	16	for	for	ADP
cana-3282	96	17	an	an	DET
cana-3282	96	18	adaptive	adaptive	ADJ
cana-3282	96	19	,	,	PUNCT
cana-3282	96	20	automated	automate	VERB
cana-3282	96	21	detection	detection	NOUN
cana-3282	96	22	system	system	NOUN
cana-3282	96	23	that	that	PRON
cana-3282	96	24	can	can	AUX
cana-3282	96	25	analyse	analyse	VERB
cana-3282	96	26	urls	url	NOUN
cana-3282	96	27	in	in	ADP
cana-3282	96	28	real	real	ADJ
cana-3282	96	29	-	-	PUNCT
cana-3282	96	30	time	time	NOUN
cana-3282	96	31	to	to	PART
cana-3282	96	32	accurately	accurately	ADV
cana-3282	96	33	classify	classify	VERB
cana-3282	96	34	them	they	PRON
cana-3282	96	35	as	as	ADP
cana-3282	96	36	“	"	PUNCT
cana-3282	96	37	phishing	phishe	VERB
cana-3282	96	38	,	,	PUNCT
cana-3282	96	39	”	"	PUNCT
cana-3282	96	40	“	"	PUNCT
cana-3282	96	41	suspicious	suspicious	ADJ
cana-3282	96	42	,	,	PUNCT
cana-3282	96	43	”	"	PUNCT
cana-3282	96	44	or	or	CCONJ
cana-3282	96	45	“	"	PUNCT
cana-3282	96	46	safe	safe	ADJ
cana-3282	96	47	.	.	PUNCT
cana-3282	96	48	”	"	PUNCT
cana-3282	97	1	this	this	DET
cana-3282	97	2	paper	paper	NOUN
cana-3282	97	3	addresses	address	NOUN
cana-3282	97	4	this	this	DET
cana-3282	97	5	need	need	NOUN
cana-3282	97	6	by	by	ADP
cana-3282	97	7	developing	develop	VERB
cana-3282	97	8	a	a	DET
cana-3282	97	9	machine	machine	NOUN
cana-3282	97	10	learning	learning	NOUN
cana-3282	97	11	-	-	PUNCT
cana-3282	97	12	based	base	VERB
cana-3282	97	13	phishing	phishe	VERB
cana-3282	97	14	detection	detection	NOUN
cana-3282	97	15	tool	tool	NOUN
cana-3282	97	16	,	,	PUNCT
cana-3282	97	17	leveraging	leverage	VERB
cana-3282	97	18	a	a	DET
cana-3282	97	19	random	random	ADJ
cana-3282	97	20	forest	forest	NOUN
cana-3282	97	21	classifier	classifier	NOUN
cana-3282	97	22	to	to	PART
cana-3282	97	23	dynamically	dynamically	ADV
cana-3282	97	24	detect	detect	VERB
cana-3282	97	25	phishing	phishe	VERB
cana-3282	97	26	urls	url	NOUN
cana-3282	97	27	based	base	VERB
cana-3282	97	28	on	on	ADP
cana-3282	97	29	url	url	ADJ
cana-3282	97	30	-	-	PUNCT
cana-3282	97	31	specific	specific	ADJ
cana-3282	97	32	features	feature	NOUN
cana-3282	97	33	,	,	PUNCT
cana-3282	97	34	thus	thus	ADV
cana-3282	97	35	providing	provide	VERB
cana-3282	97	36	a	a	DET
cana-3282	97	37	reliable	reliable	ADJ
cana-3282	97	38	solution	solution	NOUN
cana-3282	97	39	to	to	PART
cana-3282	97	40	enhance	enhance	VERB
cana-3282	97	41	user	user	NOUN
cana-3282	97	42	security	security	NOUN
cana-3282	97	43	in	in	ADP
cana-3282	97	44	online	online	ADJ
cana-3282	97	45	environments	environment	NOUN
cana-3282	97	46	.	.	PUNCT
cana-3282	98	1	4	4	X
cana-3282	98	2	.	.	NUM
cana-3282	98	3	proposed	propose	VERB
cana-3282	98	4	method	method	NOUN
cana-3282	98	5	the	the	DET
cana-3282	98	6	proposed	propose	VERB
cana-3282	98	7	method	method	NOUN
cana-3282	98	8	involves	involve	VERB
cana-3282	98	9	developing	develop	VERB
cana-3282	98	10	a	a	DET
cana-3282	98	11	phishing	phishe	VERB
cana-3282	98	12	detection	detection	NOUN
cana-3282	98	13	tool	tool	NOUN
cana-3282	98	14	that	that	PRON
cana-3282	98	15	uses	use	VERB
cana-3282	98	16	a	a	DET
cana-3282	98	17	machine	machine	NOUN
cana-3282	98	18	learning	learn	VERB
cana-3282	98	19	model	model	NOUN
cana-3282	98	20	to	to	PART
cana-3282	98	21	classify	classify	VERB
cana-3282	98	22	urls	url	NOUN
cana-3282	98	23	as	as	ADP
cana-3282	98	24	“	"	PUNCT
cana-3282	98	25	phishing	phishe	VERB
cana-3282	98	26	,	,	PUNCT
cana-3282	98	27	”	"	PUNCT
cana-3282	99	1	“	"	PUNCT
cana-3282	99	2	suspicious	suspicious	ADJ
cana-3282	99	3	,	,	PUNCT
cana-3282	99	4	”	"	PUNCT
cana-3282	99	5	or	or	CCONJ
cana-3282	99	6	“	"	PUNCT
cana-3282	99	7	safe	safe	ADJ
cana-3282	99	8	.	.	PUNCT
cana-3282	99	9	”	"	PUNCT
cana-3282	100	1	the	the	DET
cana-3282	100	2	method	method	NOUN
cana-3282	100	3	combines	combine	VERB
cana-3282	100	4	feature	feature	NOUN
cana-3282	100	5	extraction	extraction	NOUN
cana-3282	100	6	,	,	PUNCT
cana-3282	100	7	model	model	NOUN
cana-3282	100	8	training	training	NOUN
cana-3282	100	9	,	,	PUNCT
cana-3282	100	10	and	and	CCONJ
cana-3282	100	11	deployment	deployment	NOUN
cana-3282	100	12	as	as	ADP
cana-3282	100	13	a	a	DET
cana-3282	100	14	webbased	webbase	VERB
cana-3282	100	15	tool	tool	NOUN
cana-3282	100	16	for	for	ADP
cana-3282	100	17	real	real	ADJ
cana-3282	100	18	-	-	PUNCT
cana-3282	100	19	time	time	NOUN
cana-3282	100	20	detection	detection	NOUN
cana-3282	100	21	.	.	PUNCT
cana-3282	101	1	the	the	DET
cana-3282	101	2	primary	primary	ADJ
cana-3282	101	3	steps	step	NOUN
cana-3282	101	4	in	in	ADP
cana-3282	101	5	the	the	DET
cana-3282	101	6	proposed	propose	VERB
cana-3282	101	7	method	method	NOUN
cana-3282	101	8	are	be	AUX
cana-3282	101	9	as	as	SCONJ
cana-3282	101	10	follows	follow	VERB
cana-3282	101	11	:	:	PUNCT
cana-3282	101	12	a.	a.	NOUN
cana-3282	101	13	data	data	PROPN
cana-3282	101	14	collection	collection	NOUN
cana-3282	101	15	and	and	CCONJ
cana-3282	101	16	preprocessing	preprocesse	VERB
cana-3282	101	17	the	the	DET
cana-3282	101	18	first	first	ADJ
cana-3282	101	19	step	step	NOUN
cana-3282	101	20	is	be	AUX
cana-3282	101	21	to	to	PART
cana-3282	101	22	gather	gather	VERB
cana-3282	101	23	a	a	DET
cana-3282	101	24	labeled	label	VERB
cana-3282	101	25	dataset	dataset	NOUN
cana-3282	101	26	containing	contain	VERB
cana-3282	101	27	both	both	CCONJ
cana-3282	101	28	phishing	phishe	VERB
cana-3282	101	29	and	and	CCONJ
cana-3282	101	30	legitimate	legitimate	ADJ
cana-3282	101	31	urls	url	NOUN
cana-3282	101	32	.	.	PUNCT
cana-3282	102	1	this	this	DET
cana-3282	102	2	dataset	dataset	NOUN
cana-3282	102	3	serves	serve	VERB
cana-3282	102	4	as	as	ADP
cana-3282	102	5	the	the	DET
cana-3282	102	6	foundation	foundation	NOUN
cana-3282	102	7	for	for	ADP
cana-3282	102	8	training	training	NOUN
cana-3282	102	9	and	and	CCONJ
cana-3282	102	10	evaluating	evaluate	VERB
cana-3282	102	11	the	the	DET
cana-3282	102	12	machine	machine	NOUN
cana-3282	102	13	learning	learning	NOUN
cana-3282	102	14	model	model	NOUN
cana-3282	102	15	.	.	PUNCT
cana-3282	103	1	the	the	DET
cana-3282	103	2	following	follow	VERB
cana-3282	103	3	actions	action	NOUN
cana-3282	103	4	are	be	AUX
cana-3282	103	5	undertaken	undertake	VERB
cana-3282	103	6	in	in	ADP
cana-3282	103	7	this	this	DET
cana-3282	103	8	phase	phase	NOUN
cana-3282	103	9	:	:	PUNCT
cana-3282	103	10	i.data	i.data	NOUN
cana-3282	103	11	source	source	NOUN
cana-3282	103	12	:	:	PUNCT
cana-3282	103	13	collect	collect	VERB
cana-3282	103	14	urls	url	NOUN
cana-3282	103	15	from	from	ADP
cana-3282	103	16	reputable	reputable	ADJ
cana-3282	103	17	sources	source	NOUN
cana-3282	103	18	,	,	PUNCT
cana-3282	103	19	such	such	ADJ
cana-3282	103	20	as	as	ADP
cana-3282	103	21	phishtank	phishtank	ADJ
cana-3282	103	22	and	and	CCONJ
cana-3282	103	23	openphish	openphish	PROPN
cana-3282	103	24	,	,	PUNCT
cana-3282	103	25	for	for	ADP
cana-3282	103	26	phishing	phishe	VERB
cana-3282	103	27	urls	url	NOUN
cana-3282	103	28	,	,	PUNCT
cana-3282	103	29	and	and	CCONJ
cana-3282	103	30	alexa	alexa	PROPN
cana-3282	103	31	’s	’s	PART
cana-3282	103	32	top	top	ADJ
cana-3282	103	33	sites	site	NOUN
cana-3282	103	34	list	list	VERB
cana-3282	103	35	for	for	ADP
cana-3282	103	36	legitimate	legitimate	ADJ
cana-3282	103	37	urls	url	NOUN
cana-3282	103	38	.	.	PUNCT
cana-3282	104	1	ii.data	ii.data	X
cana-3282	105	1	cleaning	clean	VERB
cana-3282	105	2	:	:	PUNCT
cana-3282	105	3	remove	remove	VERB
cana-3282	105	4	duplicate	duplicate	ADJ
cana-3282	105	5	entries	entry	NOUN
cana-3282	105	6	and	and	CCONJ
cana-3282	105	7	handle	handle	VERB
cana-3282	105	8	any	any	DET
cana-3282	105	9	missing	miss	VERB
cana-3282	105	10	values	value	NOUN
cana-3282	105	11	to	to	PART
cana-3282	105	12	ensure	ensure	VERB
cana-3282	105	13	consistency	consistency	NOUN
cana-3282	105	14	and	and	CCONJ
cana-3282	105	15	reliability	reliability	NOUN
cana-3282	105	16	in	in	ADP
cana-3282	105	17	the	the	DET
cana-3282	105	18	data	datum	NOUN
cana-3282	105	19	.	.	PUNCT
cana-3282	106	1	iii.labelling	iii.labelling	NOUN
cana-3282	106	2	:	:	PUNCT
cana-3282	106	3	assign	assign	VERB
cana-3282	106	4	labels	label	NOUN
cana-3282	106	5	to	to	ADP
cana-3282	106	6	each	each	DET
cana-3282	106	7	url	url	NOUN
cana-3282	106	8	as	as	ADP
cana-3282	106	9	either	either	PRON
cana-3282	106	10	“	"	PUNCT
cana-3282	106	11	phishing	phishe	VERB
cana-3282	106	12	”	"	PUNCT
cana-3282	106	13	or	or	CCONJ
cana-3282	106	14	“	"	PUNCT
cana-3282	106	15	legitimate	legitimate	ADJ
cana-3282	106	16	,	,	PUNCT
cana-3282	106	17	”	"	PUNCT
cana-3282	106	18	based	base	VERB
cana-3282	106	19	on	on	ADP
cana-3282	106	20	their	their	PRON
cana-3282	106	21	source	source	NOUN
cana-3282	106	22	.	.	PUNCT
cana-3282	107	1	b.	b.	PROPN
cana-3282	107	2	feature	feature	NOUN
cana-3282	107	3	extraction	extraction	NOUN
cana-3282	107	4	feature	feature	NOUN
cana-3282	107	5	extraction	extraction	NOUN
cana-3282	107	6	is	be	AUX
cana-3282	107	7	critical	critical	ADJ
cana-3282	107	8	for	for	ADP
cana-3282	107	9	model	model	NOUN
cana-3282	107	10	performance	performance	NOUN
cana-3282	107	11	,	,	PUNCT
cana-3282	107	12	as	as	SCONJ
cana-3282	107	13	it	it	PRON
cana-3282	107	14	helps	helps	AUX
cana-3282	107	15	identify	identify	VERB
cana-3282	107	16	distinguishing	distinguish	VERB
cana-3282	107	17	characteristics	characteristic	NOUN
cana-3282	107	18	of	of	ADP
cana-3282	107	19	phishing	phishe	VERB
cana-3282	107	20	urls	url	NOUN
cana-3282	107	21	.	.	PUNCT
cana-3282	108	1	the	the	DET
cana-3282	108	2	proposed	propose	VERB
cana-3282	108	3	system	system	NOUN
cana-3282	108	4	will	will	AUX
cana-3282	108	5	use	use	VERB
cana-3282	108	6	the	the	DET
cana-3282	108	7	following	follow	VERB
cana-3282	108	8	types	type	NOUN
cana-3282	108	9	of	of	ADP
cana-3282	108	10	urlbased	urlbased	ADJ
cana-3282	108	11	features	feature	NOUN
cana-3282	108	12	:	:	PUNCT
cana-3282	108	13	communications	communication	NOUN
cana-3282	108	14	on	on	ADP
cana-3282	108	15	applied	apply	VERB
cana-3282	108	16	nonlinear	nonlinear	ADJ
cana-3282	108	17	analysis	analysis	NOUN
cana-3282	108	18	issn	issn	NOUN
cana-3282	108	19	:	:	PUNCT
cana-3282	108	20	1074	1074	NUM
cana-3282	108	21	-	-	PUNCT
cana-3282	108	22	133x	133x	NUM
cana-3282	108	23	vol	vol	NOUN
cana-3282	108	24	32	32	NUM
cana-3282	108	25	no	no	NOUN
cana-3282	108	26	.	.	PUNCT
cana-3282	109	1	6s	6s	NUM
cana-3282	109	2	(	(	PUNCT
cana-3282	109	3	2025	2025	NUM
cana-3282	109	4	)	)	PUNCT
cana-3282	109	5	156	156	NUM
cana-3282	110	1	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	110	2	lexical	lexical	ADJ
cana-3282	110	3	features	feature	NOUN
cana-3282	110	4	:	:	PUNCT
cana-3282	110	5	analyse	analyse	VERB
cana-3282	110	6	structural	structural	ADJ
cana-3282	110	7	properties	property	NOUN
cana-3282	110	8	of	of	ADP
cana-3282	110	9	the	the	DET
cana-3282	110	10	url	url	NOUN
cana-3282	110	11	,	,	PUNCT
cana-3282	110	12	including	include	VERB
cana-3282	110	13	:	:	PUNCT
cana-3282	110	14	•	•	NUM
cana-3282	110	15	url	url	X
cana-3282	110	16	length	length	NOUN
cana-3282	110	17	o	o	NOUN
cana-3282	110	18	presence	presence	NOUN
cana-3282	110	19	of	of	ADP
cana-3282	110	20	special	special	ADJ
cana-3282	110	21	characters	character	NOUN
cana-3282	110	22	e.g.	e.g.	ADV
cana-3282	110	23	,	,	PUNCT
cana-3282	110	24	“	"	PUNCT
cana-3282	110	25	@	@	ADP
cana-3282	110	26	,	,	PUNCT
cana-3282	110	27	”	"	PUNCT
cana-3282	110	28	“	"	PUNCT
cana-3282	110	29	-	-	PUNCT
cana-3282	110	30	”	"	PUNCT
cana-3282	110	31	,	,	PUNCT
cana-3282	110	32	“	"	PUNCT
cana-3282	110	33	o	o	NOUN
cana-3282	110	34	number	number	NOUN
cana-3282	110	35	of	of	ADP
cana-3282	110	36	subdomains	subdomain	NOUN
cana-3282	110	37	o	o	NOUN
cana-3282	110	38	use	use	NOUN
cana-3282	110	39	of	of	ADP
cana-3282	110	40	https	https	NOUN
cana-3282	110	41	protocol	protocol	PROPN
cana-3282	110	42	•	•	NOUN
cana-3282	110	43	host	host	NOUN
cana-3282	110	44	-	-	PUNCT
cana-3282	110	45	based	base	VERB
cana-3282	110	46	features	feature	NOUN
cana-3282	110	47	:	:	PUNCT
cana-3282	110	48	assess	assess	VERB
cana-3282	110	49	the	the	DET
cana-3282	110	50	reputation	reputation	NOUN
cana-3282	110	51	and	and	CCONJ
cana-3282	110	52	reliability	reliability	NOUN
cana-3282	110	53	of	of	ADP
cana-3282	110	54	the	the	DET
cana-3282	110	55	url	url	PROPN
cana-3282	110	56	’s	’s	PART
cana-3282	110	57	host	host	NOUN
cana-3282	110	58	,	,	PUNCT
cana-3282	110	59	including	include	VERB
cana-3282	110	60	:	:	PUNCT
cana-3282	110	61	o	o	NOUN
cana-3282	110	62	domain	domain	NOUN
cana-3282	110	63	registration	registration	NOUN
cana-3282	110	64	length	length	NOUN
cana-3282	110	65	o	o	NOUN
cana-3282	110	66	presence	presence	NOUN
cana-3282	110	67	of	of	ADP
cana-3282	110	68	ip	ip	ADJ
cana-3282	110	69	address	address	NOUN
cana-3282	110	70	in	in	ADP
cana-3282	110	71	the	the	DET
cana-3282	110	72	url	url	NOUN
cana-3282	110	73	o	o	NOUN
cana-3282	110	74	whois	whois	NOUN
cana-3282	110	75	information	information	NOUN
cana-3282	110	76	(	(	PUNCT
cana-3282	110	77	when	when	SCONJ
cana-3282	110	78	available	available	ADJ
cana-3282	110	79	)	)	PUNCT
cana-3282	110	80	•	•	ADP
cana-3282	110	81	content	content	NOUN
cana-3282	110	82	-	-	PUNCT
cana-3282	110	83	based	base	VERB
cana-3282	110	84	features	feature	NOUN
cana-3282	110	85	:	:	PUNCT
cana-3282	110	86	extract	extract	VERB
cana-3282	110	87	content	content	NOUN
cana-3282	110	88	features	feature	NOUN
cana-3282	110	89	related	relate	VERB
cana-3282	110	90	to	to	ADP
cana-3282	110	91	the	the	DET
cana-3282	110	92	website	website	NOUN
cana-3282	110	93	’s	’s	PART
cana-3282	110	94	metadata	metadata	NOUN
cana-3282	110	95	,	,	PUNCT
cana-3282	110	96	if	if	SCONJ
cana-3282	110	97	accessible	accessible	ADJ
cana-3282	110	98	,	,	PUNCT
cana-3282	110	99	including	include	VERB
cana-3282	110	100	title	title	NOUN
cana-3282	110	101	and	and	CCONJ
cana-3282	110	102	description	description	NOUN
cana-3282	110	103	tags	tag	NOUN
cana-3282	110	104	,	,	PUNCT
cana-3282	110	105	to	to	PART
cana-3282	110	106	improve	improve	VERB
cana-3282	110	107	classification	classification	NOUN
cana-3282	110	108	accuracy	accuracy	NOUN
cana-3282	110	109	.	.	PUNCT
cana-3282	111	1	a	a	DET
cana-3282	111	2	feature	feature	NOUN
cana-3282	111	3	extraction	extraction	NOUN
cana-3282	111	4	function	function	NOUN
cana-3282	111	5	is	be	AUX
cana-3282	111	6	implemented	implement	VERB
cana-3282	111	7	to	to	PART
cana-3282	111	8	automate	automate	VERB
cana-3282	111	9	the	the	DET
cana-3282	111	10	processing	processing	NOUN
cana-3282	111	11	of	of	ADP
cana-3282	111	12	these	these	DET
cana-3282	111	13	features	feature	NOUN
cana-3282	111	14	for	for	ADP
cana-3282	111	15	each	each	DET
cana-3282	111	16	url	url	NOUN
cana-3282	111	17	in	in	ADP
cana-3282	111	18	the	the	DET
cana-3282	111	19	dataset	dataset	NOUN
cana-3282	111	20	,	,	PUNCT
cana-3282	111	21	resulting	result	VERB
cana-3282	111	22	in	in	ADP
cana-3282	111	23	a	a	DET
cana-3282	111	24	structured	structured	ADJ
cana-3282	111	25	dataset	dataset	NOUN
cana-3282	111	26	for	for	ADP
cana-3282	111	27	model	model	NOUN
cana-3282	111	28	training	training	NOUN
cana-3282	111	29	.	.	PUNCT
cana-3282	112	1	c.	c.	NOUN
cana-3282	112	2	model	model	NOUN
cana-3282	112	3	selection	selection	NOUN
cana-3282	112	4	and	and	CCONJ
cana-3282	112	5	training	train	VERB
cana-3282	112	6	the	the	DET
cana-3282	112	7	random	random	ADJ
cana-3282	112	8	forest	forest	NOUN
cana-3282	112	9	classifier	classifier	NOUN
cana-3282	112	10	is	be	AUX
cana-3282	112	11	chosen	choose	VERB
cana-3282	112	12	for	for	ADP
cana-3282	112	13	its	its	PRON
cana-3282	112	14	high	high	ADJ
cana-3282	112	15	accuracy	accuracy	NOUN
cana-3282	112	16	and	and	CCONJ
cana-3282	112	17	robustness	robustness	NOUN
cana-3282	112	18	in	in	ADP
cana-3282	112	19	classification	classification	NOUN
cana-3282	112	20	tasks	task	NOUN
cana-3282	112	21	.	.	PUNCT
cana-3282	113	1	this	this	DET
cana-3282	113	2	model	model	NOUN
cana-3282	113	3	selection	selection	NOUN
cana-3282	113	4	is	be	AUX
cana-3282	113	5	based	base	VERB
cana-3282	113	6	on	on	ADP
cana-3282	113	7	prior	prior	ADJ
cana-3282	113	8	research	research	NOUN
cana-3282	113	9	indicating	indicate	VERB
cana-3282	113	10	its	its	PRON
cana-3282	113	11	effectiveness	effectiveness	NOUN
cana-3282	113	12	for	for	ADP
cana-3282	113	13	phishing	phishe	VERB
cana-3282	113	14	detection	detection	NOUN
cana-3282	113	15	.	.	PUNCT
cana-3282	114	1	the	the	DET
cana-3282	114	2	training	training	NOUN
cana-3282	114	3	process	process	NOUN
cana-3282	114	4	includes	include	VERB
cana-3282	114	5	:	:	PUNCT
cana-3282	114	6	•	•	NUM
cana-3282	114	7	train	train	NOUN
cana-3282	114	8	-	-	PUNCT
cana-3282	114	9	test	test	NOUN
cana-3282	114	10	split	split	NOUN
cana-3282	114	11	:	:	PUNCT
cana-3282	114	12	divide	divide	VERB
cana-3282	114	13	the	the	DET
cana-3282	114	14	dataset	dataset	NOUN
cana-3282	114	15	into	into	ADP
cana-3282	114	16	a	a	DET
cana-3282	114	17	training	training	NOUN
cana-3282	114	18	set	set	NOUN
cana-3282	114	19	(	(	PUNCT
cana-3282	114	20	80	80	NUM
cana-3282	114	21	%	%	NOUN
cana-3282	114	22	)	)	PUNCT
cana-3282	114	23	and	and	CCONJ
cana-3282	114	24	a	a	DET
cana-3282	114	25	testing	testing	NOUN
cana-3282	114	26	set	set	NOUN
cana-3282	114	27	(	(	PUNCT
cana-3282	114	28	20	20	NUM
cana-3282	114	29	%	%	NOUN
cana-3282	114	30	)	)	PUNCT
cana-3282	114	31	to	to	PART
cana-3282	114	32	evaluate	evaluate	VERB
cana-3282	114	33	the	the	DET
cana-3282	114	34	model	model	NOUN
cana-3282	114	35	’s	’s	PART
cana-3282	114	36	performance	performance	NOUN
cana-3282	114	37	.	.	PUNCT
cana-3282	115	1	•	•	NUM
cana-3282	115	2	model	model	NOUN
cana-3282	115	3	training	training	NOUN
cana-3282	115	4	:	:	PUNCT
cana-3282	115	5	train	train	VERB
cana-3282	115	6	the	the	DET
cana-3282	115	7	random	random	ADJ
cana-3282	115	8	forest	forest	NOUN
cana-3282	115	9	model	model	NOUN
cana-3282	115	10	on	on	ADP
cana-3282	115	11	the	the	DET
cana-3282	115	12	training	training	NOUN
cana-3282	115	13	dataset	dataset	NOUN
cana-3282	115	14	,	,	PUNCT
cana-3282	115	15	using	use	VERB
cana-3282	115	16	hyperparameter	hyperparameter	NOUN
cana-3282	115	17	tuning	tune	VERB
cana-3282	115	18	to	to	PART
cana-3282	115	19	optimize	optimize	VERB
cana-3282	115	20	the	the	DET
cana-3282	115	21	model	model	NOUN
cana-3282	115	22	’s	’s	PART
cana-3282	115	23	performance	performance	NOUN
cana-3282	115	24	.	.	PUNCT
cana-3282	116	1	•	•	NUM
cana-3282	116	2	cross	cross	NOUN
cana-3282	116	3	-	-	NOUN
cana-3282	116	4	validation	validation	ADJ
cana-3282	116	5	:	:	PUNCT
cana-3282	116	6	apply	apply	VERB
cana-3282	116	7	k	k	ADJ
cana-3282	116	8	-	-	ADJ
cana-3282	116	9	fold	fold	ADJ
cana-3282	116	10	cross	cross	NOUN
cana-3282	116	11	-	-	NOUN
cana-3282	116	12	validation	validation	NOUN
cana-3282	116	13	to	to	PART
cana-3282	116	14	ensure	ensure	VERB
cana-3282	116	15	the	the	DET
cana-3282	116	16	model	model	NOUN
cana-3282	116	17	’s	’s	PART
cana-3282	116	18	generalization	generalization	NOUN
cana-3282	116	19	capabilities	capability	NOUN
cana-3282	116	20	and	and	CCONJ
cana-3282	116	21	minimize	minimize	VERB
cana-3282	116	22	the	the	DET
cana-3282	116	23	risk	risk	NOUN
cana-3282	116	24	of	of	ADP
cana-3282	116	25	overfitting	overfitte	VERB
cana-3282	116	26	.	.	PUNCT
cana-3282	117	1	d.	d.	PROPN
cana-3282	117	2	deployment	deployment	PROPN
cana-3282	117	3	as	as	ADP
cana-3282	117	4	a	a	DET
cana-3282	117	5	web	web	NOUN
cana-3282	117	6	-	-	PUNCT
cana-3282	117	7	based	base	VERB
cana-3282	117	8	application	application	NOUN
cana-3282	117	9	to	to	PART
cana-3282	117	10	make	make	VERB
cana-3282	117	11	the	the	DET
cana-3282	117	12	phishing	phishe	VERB
cana-3282	117	13	detection	detection	NOUN
cana-3282	117	14	tool	tool	NOUN
cana-3282	117	15	accessible	accessible	ADJ
cana-3282	117	16	,	,	PUNCT
cana-3282	117	17	it	it	PRON
cana-3282	117	18	is	be	AUX
cana-3282	117	19	deployed	deploy	VERB
cana-3282	117	20	as	as	ADP
cana-3282	117	21	a	a	DET
cana-3282	117	22	web	web	NOUN
cana-3282	117	23	-	-	PUNCT
cana-3282	117	24	based	base	VERB
cana-3282	117	25	application	application	NOUN
cana-3282	117	26	with	with	ADP
cana-3282	117	27	the	the	DET
cana-3282	117	28	following	follow	VERB
cana-3282	117	29	components	component	NOUN
cana-3282	117	30	:	:	PUNCT
cana-3282	117	31	•	•	NOUN
cana-3282	117	32	backend	backend	NOUN
cana-3282	117	33	(	(	PUNCT
cana-3282	117	34	flask	flask	NOUN
cana-3282	117	35	api	api	NOUN
cana-3282	117	36	):	):	PUNCT
cana-3282	117	37	the	the	DET
cana-3282	117	38	trained	train	VERB
cana-3282	117	39	machine	machine	NOUN
cana-3282	117	40	learning	learning	NOUN
cana-3282	117	41	model	model	NOUN
cana-3282	117	42	is	be	AUX
cana-3282	117	43	served	serve	VERB
cana-3282	117	44	using	use	VERB
cana-3282	117	45	a	a	DET
cana-3282	117	46	flask	flask	NOUN
cana-3282	117	47	api	api	NOUN
cana-3282	117	48	,	,	PUNCT
cana-3282	117	49	allowing	allow	VERB
cana-3282	117	50	the	the	DET
cana-3282	117	51	frontend	frontend	NOUN
cana-3282	117	52	to	to	PART
cana-3282	117	53	communicate	communicate	VERB
cana-3282	117	54	with	with	ADP
cana-3282	117	55	the	the	DET
cana-3282	117	56	model	model	NOUN
cana-3282	117	57	for	for	ADP
cana-3282	117	58	real	real	ADJ
cana-3282	117	59	-	-	PUNCT
cana-3282	117	60	time	time	NOUN
cana-3282	117	61	predictions	prediction	NOUN
cana-3282	117	62	.	.	PUNCT
cana-3282	118	1	•	•	NUM
cana-3282	118	2	frontend	frontend	NOUN
cana-3282	118	3	(	(	PUNCT
cana-3282	118	4	react	react	PROPN
cana-3282	118	5	):	):	PUNCT
cana-3282	118	6	a	a	DET
cana-3282	118	7	user	user	NOUN
cana-3282	118	8	-	-	PUNCT
cana-3282	118	9	friendly	friendly	ADJ
cana-3282	118	10	web	web	NOUN
cana-3282	118	11	interface	interface	NOUN
cana-3282	118	12	,	,	PUNCT
cana-3282	118	13	developed	develop	VERB
cana-3282	118	14	using	use	VERB
cana-3282	118	15	react	react	NOUN
cana-3282	118	16	,	,	PUNCT
cana-3282	118	17	enables	enable	VERB
cana-3282	118	18	users	user	NOUN
cana-3282	118	19	to	to	PART
cana-3282	118	20	input	input	VERB
cana-3282	118	21	urls	url	NOUN
cana-3282	118	22	and	and	CCONJ
cana-3282	118	23	receive	receive	VERB
cana-3282	118	24	classification	classification	NOUN
cana-3282	118	25	results	result	NOUN
cana-3282	118	26	immediately	immediately	ADV
cana-3282	118	27	.	.	PUNCT
cana-3282	119	1	•	•	NUM
cana-3282	119	2	whitelist	whitelist	NOUN
cana-3282	119	3	integration	integration	NOUN
cana-3282	119	4	:	:	PUNCT
cana-3282	119	5	incorporate	incorporate	VERB
cana-3282	119	6	a	a	DET
cana-3282	119	7	whitelist	whitelist	NOUN
cana-3282	119	8	of	of	ADP
cana-3282	119	9	known	know	VERB
cana-3282	119	10	legitimate	legitimate	ADJ
cana-3282	119	11	domains	domain	NOUN
cana-3282	119	12	to	to	PART
cana-3282	119	13	reduce	reduce	VERB
cana-3282	119	14	false	false	ADJ
cana-3282	119	15	positives	positive	NOUN
cana-3282	119	16	and	and	CCONJ
cana-3282	119	17	increase	increase	VERB
cana-3282	119	18	user	user	NOUN
cana-3282	119	19	confidence	confidence	NOUN
cana-3282	119	20	.	.	PUNCT
cana-3282	120	1	the	the	DET
cana-3282	120	2	tool	tool	NOUN
cana-3282	120	3	checks	check	VERB
cana-3282	120	4	urls	url	NOUN
cana-3282	120	5	against	against	ADP
cana-3282	120	6	the	the	DET
cana-3282	120	7	whitelist	whitelist	NOUN
cana-3282	120	8	before	before	SCONJ
cana-3282	120	9	classification	classification	NOUN
cana-3282	120	10	to	to	PART
cana-3282	120	11	avoid	avoid	VERB
cana-3282	120	12	unnecessary	unnecessary	ADJ
cana-3282	120	13	processing	processing	NOUN
cana-3282	120	14	of	of	ADP
cana-3282	120	15	safe	safe	ADJ
cana-3282	120	16	urls	url	NOUN
cana-3282	120	17	.	.	PUNCT
cana-3282	121	1	e.	e.	PROPN
cana-3282	121	2	system	system	PROPN
cana-3282	121	3	workflow	workflow	VERB
cana-3282	121	4	the	the	DET
cana-3282	121	5	workflow	workflow	NOUN
cana-3282	121	6	of	of	ADP
cana-3282	121	7	the	the	DET
cana-3282	121	8	proposed	propose	VERB
cana-3282	121	9	phishing	phishe	VERB
cana-3282	121	10	detection	detection	NOUN
cana-3282	121	11	system	system	NOUN
cana-3282	121	12	is	be	AUX
cana-3282	121	13	as	as	SCONJ
cana-3282	121	14	follows	follow	VERB
cana-3282	121	15	:	:	PUNCT
cana-3282	121	16	•	•	NUM
cana-3282	121	17	user	user	NOUN
cana-3282	121	18	input	input	NOUN
cana-3282	121	19	:	:	PUNCT
cana-3282	121	20	a	a	DET
cana-3282	121	21	user	user	NOUN
cana-3282	121	22	submits	submit	VERB
cana-3282	121	23	a	a	DET
cana-3282	121	24	url	url	NOUN
cana-3282	121	25	through	through	ADP
cana-3282	121	26	the	the	DET
cana-3282	121	27	web	web	NOUN
cana-3282	121	28	interface	interface	NOUN
cana-3282	121	29	.	.	PUNCT
cana-3282	122	1	•	•	NUM
cana-3282	122	2	url	url	NOUN
cana-3282	122	3	processing	processing	NOUN
cana-3282	122	4	:	:	PUNCT
cana-3282	122	5	the	the	DET
cana-3282	122	6	backend	backend	NOUN
cana-3282	122	7	receives	receive	VERB
cana-3282	122	8	the	the	DET
cana-3282	122	9	url	url	NOUN
cana-3282	122	10	,	,	PUNCT
cana-3282	122	11	performs	perform	VERB
cana-3282	122	12	feature	feature	NOUN
cana-3282	122	13	extraction	extraction	NOUN
cana-3282	122	14	,	,	PUNCT
cana-3282	122	15	and	and	CCONJ
cana-3282	122	16	checks	check	VERB
cana-3282	122	17	the	the	DET
cana-3282	122	18	url	url	NOUN
cana-3282	122	19	against	against	ADP
cana-3282	122	20	the	the	DET
cana-3282	122	21	whitelist	whitelist	NOUN
cana-3282	122	22	.	.	PUNCT
cana-3282	123	1	communications	communication	NOUN
cana-3282	123	2	on	on	ADP
cana-3282	123	3	applied	apply	VERB
cana-3282	123	4	nonlinear	nonlinear	ADJ
cana-3282	123	5	analysis	analysis	NOUN
cana-3282	123	6	issn	issn	NOUN
cana-3282	123	7	:	:	PUNCT
cana-3282	123	8	1074	1074	NUM
cana-3282	123	9	-	-	PUNCT
cana-3282	123	10	133x	133x	NUM
cana-3282	123	11	vol	vol	NOUN
cana-3282	123	12	32	32	NUM
cana-3282	123	13	no	no	NOUN
cana-3282	123	14	.	.	PUNCT
cana-3282	124	1	6s	6s	NUM
cana-3282	124	2	(	(	PUNCT
cana-3282	124	3	2025	2025	NUM
cana-3282	124	4	)	)	PUNCT
cana-3282	124	5	157	157	NUM
cana-3282	124	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-3282	124	7	•	•	NUM
cana-3282	124	8	model	model	NOUN
cana-3282	124	9	prediction	prediction	NOUN
cana-3282	124	10	:	:	PUNCT
cana-3282	124	11	if	if	SCONJ
cana-3282	124	12	the	the	DET
cana-3282	124	13	url	url	NOUN
cana-3282	124	14	is	be	AUX
cana-3282	124	15	not	not	PART
cana-3282	124	16	on	on	ADP
cana-3282	124	17	the	the	DET
cana-3282	124	18	whitelist	whitelist	NOUN
cana-3282	124	19	,	,	PUNCT
cana-3282	124	20	it	it	PRON
cana-3282	124	21	is	be	AUX
cana-3282	124	22	passed	pass	VERB
cana-3282	124	23	to	to	ADP
cana-3282	124	24	the	the	DET
cana-3282	124	25	random	random	ADJ
cana-3282	124	26	forest	forest	NOUN
cana-3282	124	27	classifier	classifier	NOUN
cana-3282	124	28	,	,	PUNCT
cana-3282	124	29	which	which	PRON
cana-3282	124	30	returns	return	VERB
cana-3282	124	31	a	a	DET
cana-3282	124	32	classification	classification	NOUN
cana-3282	124	33	result	result	NOUN
cana-3282	124	34	.	.	PUNCT
cana-3282	125	1	•	•	NUM
cana-3282	125	2	result	result	NOUN
cana-3282	125	3	display	display	NOUN
cana-3282	125	4	:	:	PUNCT
cana-3282	125	5	the	the	DET
cana-3282	125	6	frontend	frontend	NOUN
cana-3282	125	7	displays	display	VERB
cana-3282	125	8	the	the	DET
cana-3282	125	9	classification	classification	NOUN
cana-3282	125	10	result	result	NOUN
cana-3282	125	11	(	(	PUNCT
cana-3282	125	12	phishing	phishe	VERB
cana-3282	125	13	,	,	PUNCT
cana-3282	125	14	suspicious	suspicious	ADJ
cana-3282	125	15	,	,	PUNCT
cana-3282	125	16	or	or	CCONJ
cana-3282	125	17	safe	safe	ADJ
cana-3282	125	18	)	)	PUNCT
cana-3282	125	19	to	to	ADP
cana-3282	125	20	the	the	DET
cana-3282	125	21	user	user	NOUN
cana-3282	125	22	,	,	PUNCT
cana-3282	125	23	with	with	ADP
cana-3282	125	24	visual	visual	ADJ
cana-3282	125	25	cues	cue	NOUN
cana-3282	125	26	to	to	PART
cana-3282	125	27	enhance	enhance	VERB
cana-3282	125	28	user	user	NOUN
cana-3282	125	29	experience	experience	NOUN
cana-3282	125	30	.	.	PUNCT
cana-3282	126	1	5	5	X
cana-3282	126	2	.	.	NUM
cana-3282	126	3	proposed	propose	VERB
cana-3282	126	4	method	method	NOUN
cana-3282	126	5	the	the	DET
cana-3282	126	6	performance	performance	NOUN
cana-3282	126	7	of	of	ADP
cana-3282	126	8	the	the	DET
cana-3282	126	9	phishing	phishe	VERB
cana-3282	126	10	detection	detection	NOUN
cana-3282	126	11	model	model	NOUN
cana-3282	126	12	is	be	AUX
cana-3282	126	13	evaluated	evaluate	VERB
cana-3282	126	14	on	on	ADP
cana-3282	126	15	several	several	ADJ
cana-3282	126	16	key	key	ADJ
cana-3282	126	17	metrics	metric	NOUN
cana-3282	126	18	to	to	PART
cana-3282	126	19	ensure	ensure	VERB
cana-3282	126	20	its	its	PRON
cana-3282	126	21	effectiveness	effectiveness	NOUN
cana-3282	126	22	in	in	ADP
cana-3282	126	23	accurately	accurately	ADV
cana-3282	126	24	classifying	classify	VERB
cana-3282	126	25	urls	url	NOUN
cana-3282	126	26	as	as	ADP
cana-3282	126	27	“	"	PUNCT
cana-3282	126	28	phishing	phishe	VERB
cana-3282	126	29	,	,	PUNCT
cana-3282	126	30	”	"	PUNCT
cana-3282	126	31	“	"	PUNCT
cana-3282	126	32	suspicious	suspicious	ADJ
cana-3282	126	33	,	,	PUNCT
cana-3282	126	34	”	"	PUNCT
cana-3282	126	35	or	or	CCONJ
cana-3282	126	36	“	"	PUNCT
cana-3282	126	37	safe	safe	ADJ
cana-3282	126	38	.	.	PUNCT
cana-3282	126	39	”	"	PUNCT
cana-3282	127	1	the	the	DET
cana-3282	127	2	evaluation	evaluation	NOUN
cana-3282	127	3	involves	involve	VERB
cana-3282	127	4	testing	test	VERB
cana-3282	127	5	the	the	DET
cana-3282	127	6	model	model	NOUN
cana-3282	127	7	on	on	ADP
cana-3282	127	8	a	a	DET
cana-3282	127	9	holdout	holdout	NOUN
cana-3282	127	10	test	test	NOUN
cana-3282	127	11	dataset	dataset	NOUN
cana-3282	127	12	,	,	PUNCT
cana-3282	127	13	and	and	CCONJ
cana-3282	127	14	the	the	DET
cana-3282	127	15	results	result	NOUN
cana-3282	127	16	are	be	AUX
cana-3282	127	17	measured	measure	VERB
cana-3282	127	18	across	across	ADP
cana-3282	127	19	multiple	multiple	ADJ
cana-3282	127	20	dimensions	dimension	NOUN
cana-3282	127	21	.	.	PUNCT
cana-3282	128	1	a.	a.	NOUN
cana-3282	128	2	evaluation	evaluation	NOUN
cana-3282	128	3	metrics	metric	NOUN
cana-3282	128	4	the	the	DET
cana-3282	128	5	following	follow	VERB
cana-3282	128	6	metrics	metric	NOUN
cana-3282	128	7	are	be	AUX
cana-3282	128	8	commonly	commonly	ADV
cana-3282	128	9	used	use	VERB
cana-3282	128	10	to	to	PART
cana-3282	128	11	evaluate	evaluate	VERB
cana-3282	128	12	classification	classification	NOUN
cana-3282	128	13	models	model	NOUN
cana-3282	128	14	and	and	CCONJ
cana-3282	128	15	are	be	AUX
cana-3282	128	16	applicable	applicable	ADJ
cana-3282	128	17	to	to	ADP
cana-3282	128	18	your	your	PRON
cana-3282	128	19	phishing	phishe	VERB
cana-3282	128	20	detection	detection	NOUN
cana-3282	128	21	tool	tool	NOUN
cana-3282	128	22	:	:	PUNCT
cana-3282	128	23	•	•	NUM
cana-3282	128	24	accuracy	accuracy	NOUN
cana-3282	128	25	:	:	PUNCT
cana-3282	128	26	this	this	DET
cana-3282	128	27	metric	metric	NOUN
cana-3282	128	28	represents	represent	VERB
cana-3282	128	29	the	the	DET
cana-3282	128	30	proportion	proportion	NOUN
cana-3282	128	31	of	of	ADP
cana-3282	128	32	correctly	correctly	ADV
cana-3282	128	33	classified	classify	VERB
cana-3282	128	34	urls	url	NOUN
cana-3282	128	35	(	(	PUNCT
cana-3282	128	36	both	both	PRON
cana-3282	128	37	phishing	phishe	VERB
cana-3282	128	38	and	and	CCONJ
cana-3282	128	39	legitimate	legitimate	ADJ
cana-3282	128	40	)	)	PUNCT
cana-3282	128	41	out	out	ADP
cana-3282	128	42	of	of	ADP
cana-3282	128	43	the	the	DET
cana-3282	128	44	total	total	ADJ
cana-3282	128	45	number	number	NOUN
cana-3282	128	46	of	of	ADP
cana-3282	128	47	urls	url	NOUN
cana-3282	128	48	in	in	ADP
cana-3282	128	49	the	the	DET
cana-3282	128	50	test	test	NOUN
cana-3282	128	51	set	set	NOUN
cana-3282	128	52	.	.	PUNCT
cana-3282	129	1	accuracy	accuracy	NOUN
cana-3282	129	2	is	be	AUX
cana-3282	129	3	calculated	calculate	VERB
cana-3282	129	4	as	as	ADP
cana-3282	129	5	:	:	PUNCT
cana-3282	129	6	accuracy	accuracy	NOUN
cana-3282	129	7	=	=	SYM
cana-3282	129	8	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	129	9	+	+	CCONJ
cana-3282	129	10	𝑇𝑟𝑢𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	PROPN
cana-3282	129	11	𝑇𝑜𝑡𝑎𝑙	𝑇𝑜𝑡𝑎𝑙	PROPN
cana-3282	129	12	𝑛𝑢𝑚𝑏𝑒𝑟	𝑛𝑢𝑚𝑏𝑒𝑟	NOUN
cana-3282	129	13	𝑜𝑓	𝑜𝑓	ADP
cana-3282	129	14	𝑠𝑎𝑚𝑝𝑙𝑒𝑠	𝑠𝑎𝑚𝑝𝑙𝑒𝑠	PROPN
cana-3282	129	15	•	•	NUM
cana-3282	129	16	precision	precision	NOUN
cana-3282	129	17	:	:	PUNCT
cana-3282	129	18	precision	precision	NOUN
cana-3282	129	19	measures	measure	VERB
cana-3282	129	20	the	the	DET
cana-3282	129	21	model	model	NOUN
cana-3282	129	22	’s	’s	PART
cana-3282	129	23	accuracy	accuracy	NOUN
cana-3282	129	24	in	in	ADP
cana-3282	129	25	identifying	identify	VERB
cana-3282	129	26	true	true	ADJ
cana-3282	129	27	phishing	phishe	VERB
cana-3282	129	28	urls	url	NOUN
cana-3282	129	29	out	out	ADP
cana-3282	129	30	of	of	ADP
cana-3282	129	31	all	all	DET
cana-3282	129	32	urls	url	NOUN
cana-3282	129	33	classified	classify	VERB
cana-3282	129	34	as	as	ADP
cana-3282	129	35	phishing	phishe	VERB
cana-3282	129	36	.	.	PUNCT
cana-3282	130	1	a	a	DET
cana-3282	130	2	high	high	ADJ
cana-3282	130	3	precision	precision	NOUN
cana-3282	130	4	rate	rate	NOUN
cana-3282	130	5	indicates	indicate	VERB
cana-3282	130	6	low	low	ADJ
cana-3282	130	7	false	false	ADJ
cana-3282	130	8	positive	positive	ADJ
cana-3282	130	9	rates	rate	NOUN
cana-3282	130	10	.	.	PUNCT
cana-3282	131	1	precision	precision	NOUN
cana-3282	131	2	is	be	AUX
cana-3282	131	3	calculated	calculate	VERB
cana-3282	131	4	as	as	ADP
cana-3282	131	5	:	:	PUNCT
cana-3282	131	6	precision	precision	NOUN
cana-3282	131	7	=	=	PUNCT
cana-3282	131	8	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	131	9	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	131	10	+	+	PROPN
cana-3282	131	11	𝐹𝑎𝑙𝑠𝑒	𝐹𝑎𝑙𝑠𝑒	PROPN
cana-3282	131	12	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	131	13	•	•	NOUN
cana-3282	131	14	recall	recall	NOUN
cana-3282	131	15	:	:	PUNCT
cana-3282	131	16	recall	recall	PROPN
cana-3282	131	17	indicates	indicate	VERB
cana-3282	131	18	how	how	SCONJ
cana-3282	131	19	well	well	ADV
cana-3282	131	20	the	the	DET
cana-3282	131	21	model	model	NOUN
cana-3282	131	22	captures	capture	VERB
cana-3282	131	23	all	all	PRON
cana-3282	131	24	phishing	phishe	VERB
cana-3282	131	25	urls	url	NOUN
cana-3282	131	26	out	out	ADP
cana-3282	131	27	of	of	ADP
cana-3282	131	28	the	the	DET
cana-3282	131	29	actual	actual	ADJ
cana-3282	131	30	phishing	phishe	VERB
cana-3282	131	31	urls	url	NOUN
cana-3282	131	32	in	in	ADP
cana-3282	131	33	the	the	DET
cana-3282	131	34	dataset	dataset	NOUN
cana-3282	131	35	.	.	PUNCT
cana-3282	132	1	a	a	DET
cana-3282	132	2	high	high	ADJ
cana-3282	132	3	recall	recall	NOUN
cana-3282	132	4	rate	rate	NOUN
cana-3282	132	5	means	mean	VERB
cana-3282	132	6	fewer	few	ADJ
cana-3282	132	7	false	false	ADJ
cana-3282	132	8	negatives	negative	NOUN
cana-3282	132	9	.	.	PUNCT
cana-3282	133	1	recall	recall	PROPN
cana-3282	133	2	is	be	AUX
cana-3282	133	3	calculated	calculate	VERB
cana-3282	133	4	as	as	ADP
cana-3282	133	5	:	:	PUNCT
cana-3282	133	6	recall	recall	NOUN
cana-3282	133	7	=	=	PUNCT
cana-3282	133	8	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	133	9	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	𝑇𝑟𝑢𝑒𝑃𝑜𝑠𝑖𝑡𝑖𝑣𝑒	PROPN
cana-3282	133	10	+	+	CCONJ
cana-3282	133	11	𝐹𝑎𝑙𝑠𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	𝐹𝑎𝑙𝑠𝑒𝑁𝑒𝑔𝑎𝑡𝑖𝑣𝑒	PROPN
cana-3282	133	12	•	•	NUM
cana-3282	133	13	f1	f1	NOUN
cana-3282	133	14	-	-	PUNCT
cana-3282	133	15	score	score	NOUN
cana-3282	133	16	:	:	PUNCT
cana-3282	133	17	the	the	DET
cana-3282	133	18	f1	f1	NOUN
cana-3282	133	19	-	-	PUNCT
cana-3282	133	20	score	score	NOUN
cana-3282	133	21	is	be	AUX
cana-3282	133	22	the	the	DET
cana-3282	133	23	harmonic	harmonic	ADJ
cana-3282	133	24	mean	mean	NOUN
cana-3282	133	25	of	of	ADP
cana-3282	133	26	precision	precision	NOUN
cana-3282	133	27	and	and	CCONJ
cana-3282	133	28	recall	recall	NOUN
cana-3282	133	29	,	,	PUNCT
cana-3282	133	30	providing	provide	VERB
cana-3282	133	31	a	a	DET
cana-3282	133	32	balanced	balanced	ADJ
cana-3282	133	33	measure	measure	NOUN
cana-3282	133	34	when	when	SCONJ
cana-3282	133	35	there	there	PRON
cana-3282	133	36	is	be	VERB
cana-3282	133	37	an	an	DET
cana-3282	133	38	uneven	uneven	ADJ
cana-3282	133	39	class	class	NOUN
cana-3282	133	40	distribution	distribution	NOUN
cana-3282	133	41	or	or	CCONJ
cana-3282	133	42	when	when	SCONJ
cana-3282	133	43	both	both	DET
cana-3282	133	44	precision	precision	NOUN
cana-3282	133	45	and	and	CCONJ
cana-3282	133	46	recall	recall	NOUN
cana-3282	133	47	are	be	AUX
cana-3282	133	48	important	important	ADJ
cana-3282	133	49	.	.	PUNCT
cana-3282	134	1	it	it	PRON
cana-3282	134	2	is	be	AUX
cana-3282	134	3	calculated	calculate	VERB
cana-3282	134	4	as	as	ADP
cana-3282	134	5	:	:	PUNCT
cana-3282	134	6	f1	f1	NOUN
cana-3282	134	7	−	−	PROPN
cana-3282	134	8	score	score	NOUN
cana-3282	134	9	=	=	SYM
cana-3282	134	10	2	2	NUM
cana-3282	134	11	x	x	PUNCT
cana-3282	134	12	𝑃𝑟𝑒𝑐𝑖𝑠𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑠𝑖𝑜𝑛	PROPN
cana-3282	134	13	x	x	ADP
cana-3282	134	14	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3282	134	15	𝑃𝑟𝑒𝑐𝑖𝑠𝑠𝑖𝑜𝑛	𝑃𝑟𝑒𝑐𝑖𝑠𝑠𝑖𝑜𝑛	PROPN
cana-3282	134	16	+	+	CCONJ
cana-3282	134	17	𝑅𝑒𝑐𝑎𝑙𝑙	𝑅𝑒𝑐𝑎𝑙𝑙	PROPN
cana-3282	134	18	•	•	NUM
cana-3282	134	19	confusion	confusion	NOUN
cana-3282	134	20	matrix	matrix	NOUN
cana-3282	134	21	:	:	PUNCT
cana-3282	134	22	the	the	DET
cana-3282	134	23	confusion	confusion	NOUN
cana-3282	134	24	matrix	matrix	NOUN
cana-3282	134	25	visualizes	visualize	VERB
cana-3282	134	26	the	the	DET
cana-3282	134	27	model	model	NOUN
cana-3282	134	28	’s	’s	PART
cana-3282	134	29	performance	performance	NOUN
cana-3282	134	30	by	by	ADP
cana-3282	134	31	showing	show	VERB
cana-3282	134	32	the	the	DET
cana-3282	134	33	true	true	ADJ
cana-3282	134	34	positives	positive	NOUN
cana-3282	134	35	,	,	PUNCT
cana-3282	134	36	true	true	ADJ
cana-3282	134	37	negatives	negative	NOUN
cana-3282	134	38	,	,	PUNCT
cana-3282	134	39	false	false	ADJ
cana-3282	134	40	positives	positive	NOUN
cana-3282	134	41	,	,	PUNCT
cana-3282	134	42	and	and	CCONJ
cana-3282	134	43	false	false	ADJ
cana-3282	134	44	negatives	negative	NOUN
cana-3282	134	45	.	.	PUNCT
cana-3282	135	1	this	this	DET
cana-3282	135	2	matrix	matrix	NOUN
cana-3282	135	3	helps	help	VERB
cana-3282	135	4	in	in	ADP
cana-3282	135	5	identifying	identify	VERB
cana-3282	135	6	any	any	DET
cana-3282	135	7	biases	bias	NOUN
cana-3282	135	8	in	in	ADP
cana-3282	135	9	the	the	DET
cana-3282	135	10	model	model	NOUN
cana-3282	135	11	’s	’s	PART
cana-3282	135	12	predictions	prediction	NOUN
cana-3282	135	13	and	and	CCONJ
cana-3282	135	14	in	in	ADP
cana-3282	135	15	understanding	understanding	NOUN
cana-3282	135	16	where	where	SCONJ
cana-3282	135	17	misclassifications	misclassification	NOUN
cana-3282	135	18	occur	occur	VERB
cana-3282	135	19	.	.	PUNCT
cana-3282	136	1	b.	b.	PROPN
cana-3282	136	2	model	model	PROPN
cana-3282	136	3	testing	testing	NOUN
cana-3282	136	4	and	and	CCONJ
cana-3282	136	5	results	result	VERB
cana-3282	136	6	the	the	DET
cana-3282	136	7	model	model	NOUN
cana-3282	136	8	is	be	AUX
cana-3282	136	9	tested	test	VERB
cana-3282	136	10	on	on	ADP
cana-3282	136	11	a	a	DET
cana-3282	136	12	separate	separate	ADJ
cana-3282	136	13	test	test	NOUN
cana-3282	136	14	dataset	dataset	NOUN
cana-3282	136	15	,	,	PUNCT
cana-3282	136	16	which	which	PRON
cana-3282	136	17	was	be	AUX
cana-3282	136	18	not	not	PART
cana-3282	136	19	used	use	VERB
cana-3282	136	20	in	in	ADP
cana-3282	136	21	training	training	NOUN
cana-3282	136	22	,	,	PUNCT
cana-3282	136	23	to	to	PART
cana-3282	136	24	assess	assess	VERB
cana-3282	136	25	its	its	PRON
cana-3282	136	26	generalization	generalization	NOUN
cana-3282	136	27	ability	ability	NOUN
cana-3282	136	28	.	.	PUNCT
cana-3282	137	1	the	the	DET
cana-3282	137	2	dataset	dataset	NOUN
cana-3282	137	3	is	be	AUX
cana-3282	137	4	split	split	VERB
cana-3282	137	5	into	into	ADP
cana-3282	137	6	a	a	DET
cana-3282	137	7	training	training	NOUN
cana-3282	137	8	set	set	NOUN
cana-3282	137	9	(	(	PUNCT
cana-3282	137	10	80	80	NUM
cana-3282	137	11	%	%	NOUN
cana-3282	137	12	)	)	PUNCT
cana-3282	137	13	and	and	CCONJ
cana-3282	137	14	a	a	DET
cana-3282	137	15	test	test	NOUN
cana-3282	137	16	set	set	NOUN
cana-3282	137	17	(	(	PUNCT
cana-3282	137	18	20	20	NUM
cana-3282	137	19	%	%	NOUN
cana-3282	137	20	)	)	PUNCT
cana-3282	137	21	to	to	PART
cana-3282	137	22	ensure	ensure	VERB
cana-3282	137	23	that	that	SCONJ
cana-3282	137	24	the	the	DET
cana-3282	137	25	model	model	NOUN
cana-3282	137	26	’s	’s	PART
cana-3282	137	27	performance	performance	NOUN
cana-3282	137	28	is	be	AUX
cana-3282	137	29	evaluated	evaluate	VERB
cana-3282	137	30	on	on	ADP
cana-3282	137	31	unseen	unseen	ADJ
cana-3282	137	32	data	datum	NOUN
cana-3282	137	33	.	.	PUNCT
cana-3282	138	1	after	after	ADP
cana-3282	138	2	training	training	NOUN
cana-3282	138	3	,	,	PUNCT
cana-3282	138	4	the	the	DET
cana-3282	138	5	model	model	NOUN
cana-3282	138	6	is	be	AUX
cana-3282	138	7	evaluated	evaluate	VERB
cana-3282	138	8	using	use	VERB
cana-3282	138	9	the	the	DET
cana-3282	138	10	communications	communication	NOUN
cana-3282	138	11	on	on	ADP
cana-3282	138	12	applied	apply	VERB
cana-3282	138	13	nonlinear	nonlinear	ADJ
cana-3282	138	14	analysis	analysis	NOUN
cana-3282	138	15	issn	issn	NOUN
cana-3282	138	16	:	:	PUNCT
cana-3282	138	17	1074	1074	NUM
cana-3282	138	18	-	-	PUNCT
cana-3282	138	19	133x	133x	NUM
cana-3282	138	20	vol	vol	NOUN
cana-3282	138	21	32	32	NUM
cana-3282	138	22	no	no	NOUN
cana-3282	138	23	.	.	PUNCT
cana-3282	139	1	6s	6s	NUM
cana-3282	139	2	(	(	PUNCT
cana-3282	139	3	2025	2025	NUM
cana-3282	139	4	)	)	PUNCT
cana-3282	139	5	158	158	NUM
cana-3282	139	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	139	7	test	test	NOUN
cana-3282	139	8	set	set	NOUN
cana-3282	139	9	,	,	PUNCT
cana-3282	139	10	and	and	CCONJ
cana-3282	139	11	the	the	DET
cana-3282	139	12	following	following	ADJ
cana-3282	139	13	results	result	NOUN
cana-3282	139	14	are	be	AUX
cana-3282	139	15	typically	typically	ADV
cana-3282	139	16	reported	report	VERB
cana-3282	139	17	:	:	PUNCT
cana-3282	139	18	•	•	NUM
cana-3282	139	19	confusion	confusion	NOUN
cana-3282	139	20	matrix	matrix	NOUN
cana-3282	139	21	visualization	visualization	NOUN
cana-3282	139	22	:	:	PUNCT
cana-3282	139	23	a	a	DET
cana-3282	139	24	visual	visual	ADJ
cana-3282	139	25	representation	representation	NOUN
cana-3282	139	26	of	of	ADP
cana-3282	139	27	the	the	DET
cana-3282	139	28	true	true	ADJ
cana-3282	139	29	positives	positive	NOUN
cana-3282	139	30	,	,	PUNCT
cana-3282	139	31	true	true	ADJ
cana-3282	139	32	negatives	negative	NOUN
cana-3282	139	33	,	,	PUNCT
cana-3282	139	34	false	false	ADJ
cana-3282	139	35	positives	positive	NOUN
cana-3282	139	36	,	,	PUNCT
cana-3282	139	37	and	and	CCONJ
cana-3282	139	38	false	false	ADJ
cana-3282	139	39	negatives	negative	NOUN
cana-3282	139	40	to	to	PART
cana-3282	139	41	understand	understand	VERB
cana-3282	139	42	the	the	DET
cana-3282	139	43	model	model	NOUN
cana-3282	139	44	’s	’s	PART
cana-3282	139	45	classification	classification	NOUN
cana-3282	139	46	patterns	pattern	NOUN
cana-3282	139	47	.	.	PUNCT
cana-3282	140	1	•	•	NUM
cana-3282	140	2	metric	metric	ADJ
cana-3282	140	3	scores	score	NOUN
cana-3282	140	4	:	:	PUNCT
cana-3282	140	5	detailed	detailed	ADJ
cana-3282	140	6	results	result	NOUN
cana-3282	140	7	for	for	ADP
cana-3282	140	8	accuracy	accuracy	NOUN
cana-3282	140	9	,	,	PUNCT
cana-3282	140	10	precision	precision	NOUN
cana-3282	140	11	,	,	PUNCT
cana-3282	140	12	recall	recall	NOUN
cana-3282	140	13	,	,	PUNCT
cana-3282	140	14	and	and	CCONJ
cana-3282	140	15	f1	f1	NOUN
cana-3282	140	16	-	-	PUNCT
cana-3282	140	17	score	score	NOUN
cana-3282	140	18	,	,	PUNCT
cana-3282	140	19	which	which	PRON
cana-3282	140	20	collectively	collectively	ADV
cana-3282	140	21	indicate	indicate	VERB
cana-3282	140	22	the	the	DET
cana-3282	140	23	model	model	NOUN
cana-3282	140	24	’s	’s	PART
cana-3282	140	25	performance	performance	NOUN
cana-3282	140	26	across	across	ADP
cana-3282	140	27	different	different	ADJ
cana-3282	140	28	dimensions	dimension	NOUN
cana-3282	140	29	of	of	ADP
cana-3282	140	30	classification	classification	NOUN
cana-3282	140	31	.	.	PUNCT
cana-3282	141	1	c.	c.	PROPN
cana-3282	141	2	expected	expect	VERB
cana-3282	141	3	performance	performance	NOUN
cana-3282	141	4	goals	goal	NOUN
cana-3282	141	5	the	the	DET
cana-3282	141	6	primary	primary	ADJ
cana-3282	141	7	objective	objective	NOUN
cana-3282	141	8	is	be	AUX
cana-3282	141	9	to	to	PART
cana-3282	141	10	achieve	achieve	VERB
cana-3282	141	11	a	a	DET
cana-3282	141	12	minimum	minimum	NOUN
cana-3282	141	13	of	of	ADP
cana-3282	141	14	90	90	NUM
cana-3282	141	15	%	%	NOUN
cana-3282	141	16	classification	classification	NOUN
cana-3282	141	17	accuracy	accuracy	NOUN
cana-3282	141	18	,	,	PUNCT
cana-3282	141	19	with	with	ADP
cana-3282	141	20	balanced	balanced	ADJ
cana-3282	141	21	precision	precision	NOUN
cana-3282	141	22	and	and	CCONJ
cana-3282	141	23	recall	recall	VERB
cana-3282	141	24	scores	score	NOUN
cana-3282	141	25	to	to	PART
cana-3282	141	26	ensure	ensure	VERB
cana-3282	141	27	the	the	DET
cana-3282	141	28	model	model	NOUN
cana-3282	141	29	’s	’s	PART
cana-3282	141	30	reliability	reliability	NOUN
cana-3282	141	31	in	in	ADP
cana-3282	141	32	real	real	ADJ
cana-3282	141	33	-	-	PUNCT
cana-3282	141	34	world	world	NOUN
cana-3282	141	35	applications	application	NOUN
cana-3282	141	36	.	.	PUNCT
cana-3282	142	1	ideally	ideally	ADV
cana-3282	142	2	,	,	PUNCT
cana-3282	142	3	precision	precision	NOUN
cana-3282	142	4	and	and	CCONJ
cana-3282	142	5	recall	recall	NOUN
cana-3282	142	6	should	should	AUX
cana-3282	142	7	be	be	AUX
cana-3282	142	8	above	above	ADP
cana-3282	142	9	90	90	NUM
cana-3282	142	10	%	%	NOUN
cana-3282	142	11	to	to	PART
cana-3282	142	12	minimize	minimize	VERB
cana-3282	142	13	false	false	ADJ
cana-3282	142	14	positives	positive	NOUN
cana-3282	142	15	and	and	CCONJ
cana-3282	142	16	false	false	ADJ
cana-3282	142	17	negatives	negative	NOUN
cana-3282	142	18	,	,	PUNCT
cana-3282	142	19	which	which	PRON
cana-3282	142	20	are	be	AUX
cana-3282	142	21	critical	critical	ADJ
cana-3282	142	22	for	for	ADP
cana-3282	142	23	a	a	DET
cana-3282	142	24	phishing	phishe	VERB
cana-3282	142	25	detection	detection	NOUN
cana-3282	142	26	tool	tool	NOUN
cana-3282	142	27	.	.	PUNCT
cana-3282	143	1	d.	d.	PROPN
cana-3282	143	2	comparative	comparative	ADJ
cana-3282	143	3	analysis	analysis	NOUN
cana-3282	143	4	optionally	optionally	ADV
cana-3282	143	5	,	,	PUNCT
cana-3282	143	6	the	the	DET
cana-3282	143	7	performance	performance	NOUN
cana-3282	143	8	of	of	ADP
cana-3282	143	9	the	the	DET
cana-3282	143	10	random	random	ADJ
cana-3282	143	11	forest	forest	NOUN
cana-3282	143	12	model	model	NOUN
cana-3282	143	13	can	can	AUX
cana-3282	143	14	be	be	AUX
cana-3282	143	15	compared	compare	VERB
cana-3282	143	16	with	with	ADP
cana-3282	143	17	other	other	ADJ
cana-3282	143	18	models	model	NOUN
cana-3282	143	19	(	(	PUNCT
cana-3282	143	20	such	such	ADJ
cana-3282	143	21	as	as	ADP
cana-3282	143	22	support	support	NOUN
cana-3282	143	23	vector	vector	NOUN
cana-3282	143	24	machine	machine	NOUN
cana-3282	143	25	,	,	PUNCT
cana-3282	143	26	logistic	logistic	ADJ
cana-3282	143	27	regression	regression	NOUN
cana-3282	143	28	,	,	PUNCT
cana-3282	143	29	or	or	CCONJ
cana-3282	143	30	neural	neural	ADJ
cana-3282	143	31	networks	network	NOUN
cana-3282	143	32	)	)	PUNCT
cana-3282	143	33	to	to	PART
cana-3282	143	34	determine	determine	VERB
cana-3282	143	35	if	if	SCONJ
cana-3282	143	36	the	the	DET
cana-3282	143	37	chosen	choose	VERB
cana-3282	143	38	model	model	NOUN
cana-3282	143	39	is	be	AUX
cana-3282	143	40	the	the	DET
cana-3282	143	41	most	most	ADV
cana-3282	143	42	effective	effective	ADJ
cana-3282	143	43	for	for	ADP
cana-3282	143	44	the	the	DET
cana-3282	143	45	phishing	phishe	VERB
cana-3282	143	46	detection	detection	NOUN
cana-3282	143	47	task	task	NOUN
cana-3282	143	48	.	.	PUNCT
cana-3282	144	1	this	this	DET
cana-3282	144	2	comparative	comparative	ADJ
cana-3282	144	3	analysis	analysis	NOUN
cana-3282	144	4	can	can	AUX
cana-3282	144	5	help	help	VERB
cana-3282	144	6	justify	justify	VERB
cana-3282	144	7	the	the	DET
cana-3282	144	8	use	use	NOUN
cana-3282	144	9	of	of	ADP
cana-3282	144	10	random	random	ADJ
cana-3282	144	11	forest	forest	NOUN
cana-3282	144	12	based	base	VERB
cana-3282	144	13	on	on	ADP
cana-3282	144	14	its	its	PRON
cana-3282	144	15	superior	superior	ADJ
cana-3282	144	16	accuracy	accuracy	NOUN
cana-3282	144	17	and	and	CCONJ
cana-3282	144	18	interpretability	interpretability	NOUN
cana-3282	144	19	.	.	PUNCT
cana-3282	145	1	model	model	NOUN
cana-3282	145	2	accuracy	accuracy	NOUN
cana-3282	145	3	(	(	PUNCT
cana-3282	145	4	%	%	INTJ
cana-3282	145	5	)	)	PUNCT
cana-3282	145	6	recall	recall	NOUN
cana-3282	145	7	(	(	PUNCT
cana-3282	145	8	%	%	NOUN
cana-3282	145	9	)	)	PUNCT
cana-3282	145	10	f1	f1	NOUN
cana-3282	145	11	-	-	PUNCT
cana-3282	145	12	score	score	NOUN
cana-3282	145	13	(	(	PUNCT
cana-3282	145	14	%	%	INTJ
cana-3282	145	15	)	)	PUNCT
cana-3282	145	16	random	random	ADJ
cana-3282	145	17	forest	forest	NOUN
cana-3282	145	18	95.2	95.2	NUM
cana-3282	145	19	90.5	90.5	NUM
cana-3282	145	20	91.1	91.1	NUM
cana-3282	145	21	support	support	NOUN
cana-3282	145	22	vector	vector	NOUN
cana-3282	145	23	machine	machine	NOUN
cana-3282	145	24	88.7	88.7	NUM
cana-3282	145	25	84.9	84.9	NUM
cana-3282	145	26	85.5	85.5	NUM
cana-3282	145	27	logistic	logistic	ADJ
cana-3282	145	28	regression	regression	NOUN
cana-3282	145	29	87.4	87.4	NUM
cana-3282	145	30	82.3	82.3	NUM
cana-3282	145	31	83.7	83.7	NUM
cana-3282	145	32	performance	performance	NOUN
cana-3282	145	33	metrics	metric	NOUN
cana-3282	145	34	of	of	ADP
cana-3282	145	35	different	different	ADJ
cana-3282	145	36	models	model	NOUN
cana-3282	145	37	6	6	NUM
cana-3282	145	38	.	.	PUNCT
cana-3282	145	39	results	result	NOUN
cana-3282	145	40	and	and	CCONJ
cana-3282	145	41	discussions	discussion	NOUN
cana-3282	145	42	the	the	DET
cana-3282	145	43	phishing	phishe	VERB
cana-3282	145	44	detection	detection	NOUN
cana-3282	145	45	model	model	NOUN
cana-3282	145	46	achieved	achieve	VERB
cana-3282	145	47	an	an	DET
cana-3282	145	48	accuracy	accuracy	NOUN
cana-3282	145	49	of	of	ADP
cana-3282	145	50	95.2	95.2	NUM
cana-3282	145	51	%	%	NOUN
cana-3282	145	52	,	,	PUNCT
cana-3282	145	53	with	with	ADP
cana-3282	145	54	a	a	DET
cana-3282	145	55	precision	precision	NOUN
cana-3282	145	56	of	of	ADP
cana-3282	145	57	91.8	91.8	NUM
cana-3282	145	58	%	%	NOUN
cana-3282	145	59	,	,	PUNCT
cana-3282	145	60	recall	recall	NOUN
cana-3282	145	61	of	of	ADP
cana-3282	145	62	90.5	90.5	NUM
cana-3282	145	63	%	%	NOUN
cana-3282	145	64	,	,	PUNCT
cana-3282	145	65	and	and	CCONJ
cana-3282	145	66	f1score	f1score	NOUN
cana-3282	145	67	of	of	ADP
cana-3282	145	68	91.1	91.1	NUM
cana-3282	145	69	%	%	NOUN
cana-3282	145	70	,	,	PUNCT
cana-3282	145	71	demonstrating	demonstrate	VERB
cana-3282	145	72	its	its	PRON
cana-3282	145	73	effectiveness	effectiveness	NOUN
cana-3282	145	74	in	in	ADP
cana-3282	145	75	identifying	identify	VERB
cana-3282	145	76	phishing	phishe	VERB
cana-3282	145	77	urls	url	NOUN
cana-3282	145	78	while	while	SCONJ
cana-3282	145	79	maintaining	maintain	VERB
cana-3282	145	80	a	a	DET
cana-3282	145	81	low	low	ADJ
cana-3282	145	82	rate	rate	NOUN
cana-3282	145	83	of	of	ADP
cana-3282	145	84	false	false	ADJ
cana-3282	145	85	positives	positive	NOUN
cana-3282	145	86	and	and	CCONJ
cana-3282	145	87	negatives	negative	NOUN
cana-3282	145	88	.	.	PUNCT
cana-3282	146	1	the	the	DET
cana-3282	146	2	confusion	confusion	NOUN
cana-3282	146	3	matrix	matrix	NOUN
cana-3282	146	4	analysis	analysis	NOUN
cana-3282	146	5	shows	show	VERB
cana-3282	146	6	reliable	reliable	ADJ
cana-3282	146	7	classification	classification	NOUN
cana-3282	146	8	,	,	PUNCT
cana-3282	146	9	though	though	SCONJ
cana-3282	146	10	a	a	DET
cana-3282	146	11	small	small	ADJ
cana-3282	146	12	number	number	NOUN
cana-3282	146	13	of	of	ADP
cana-3282	146	14	false	false	ADJ
cana-3282	146	15	positives	positive	NOUN
cana-3282	146	16	indicate	indicate	VERB
cana-3282	146	17	potential	potential	NOUN
cana-3282	146	18	for	for	ADP
cana-3282	146	19	further	further	ADJ
cana-3282	146	20	refinement	refinement	NOUN
cana-3282	146	21	through	through	ADP
cana-3282	146	22	whitelist	whitelist	NOUN
cana-3282	146	23	integration	integration	NOUN
cana-3282	146	24	.	.	PUNCT
cana-3282	147	1	comparisons	comparison	NOUN
cana-3282	147	2	with	with	ADP
cana-3282	147	3	support	support	NOUN
cana-3282	147	4	vector	vector	NOUN
cana-3282	147	5	machine	machine	NOUN
cana-3282	147	6	and	and	CCONJ
cana-3282	147	7	logistic	logistic	ADJ
cana-3282	147	8	regression	regression	NOUN
cana-3282	147	9	models	model	NOUN
cana-3282	147	10	confirmed	confirm	VERB
cana-3282	147	11	the	the	DET
cana-3282	147	12	random	random	ADJ
cana-3282	147	13	forest	forest	NOUN
cana-3282	147	14	classifier	classifier	NOUN
cana-3282	147	15	as	as	ADP
cana-3282	147	16	the	the	DET
cana-3282	147	17	most	most	ADV
cana-3282	147	18	effective	effective	ADJ
cana-3282	147	19	for	for	ADP
cana-3282	147	20	this	this	DET
cana-3282	147	21	task	task	NOUN
cana-3282	147	22	.	.	PUNCT
cana-3282	148	1	while	while	SCONJ
cana-3282	148	2	limitations	limitation	NOUN
cana-3282	148	3	exist	exist	VERB
cana-3282	148	4	,	,	PUNCT
cana-3282	148	5	including	include	VERB
cana-3282	148	6	occasional	occasional	ADJ
cana-3282	148	7	false	false	ADJ
cana-3282	148	8	positives	positive	NOUN
cana-3282	148	9	and	and	CCONJ
cana-3282	148	10	the	the	DET
cana-3282	148	11	need	need	NOUN
cana-3282	148	12	for	for	ADP
cana-3282	148	13	regular	regular	ADJ
cana-3282	148	14	updates	update	NOUN
cana-3282	148	15	to	to	PART
cana-3282	148	16	handle	handle	VERB
cana-3282	148	17	evolving	evolve	VERB
cana-3282	148	18	phishing	phishe	VERB
cana-3282	148	19	tactics	tactic	NOUN
cana-3282	148	20	,	,	PUNCT
cana-3282	148	21	the	the	DET
cana-3282	148	22	model	model	NOUN
cana-3282	148	23	’s	’s	PART
cana-3282	148	24	high	high	ADJ
cana-3282	148	25	precision	precision	NOUN
cana-3282	148	26	and	and	CCONJ
cana-3282	148	27	recall	recall	NOUN
cana-3282	148	28	suggest	suggest	VERB
cana-3282	148	29	strong	strong	ADJ
cana-3282	148	30	potential	potential	NOUN
cana-3282	148	31	for	for	ADP
cana-3282	148	32	real	real	ADJ
cana-3282	148	33	-	-	PUNCT
cana-3282	148	34	world	world	NOUN
cana-3282	148	35	application	application	NOUN
cana-3282	148	36	.	.	PUNCT
cana-3282	149	1	future	future	ADJ
cana-3282	149	2	enhancements	enhancement	NOUN
cana-3282	149	3	,	,	PUNCT
cana-3282	149	4	such	such	ADJ
cana-3282	149	5	as	as	ADP
cana-3282	149	6	browser	browser	NOUN
cana-3282	149	7	extension	extension	NOUN
cana-3282	149	8	development	development	NOUN
cana-3282	149	9	and	and	CCONJ
cana-3282	149	10	user	user	NOUN
cana-3282	149	11	feedback	feedback	NOUN
cana-3282	149	12	integration	integration	NOUN
cana-3282	149	13	,	,	PUNCT
cana-3282	149	14	could	could	AUX
cana-3282	149	15	further	far	ADV
cana-3282	149	16	improve	improve	VERB
cana-3282	149	17	accuracy	accuracy	NOUN
cana-3282	149	18	and	and	CCONJ
cana-3282	149	19	user	user	NOUN
cana-3282	149	20	trust	trust	PROPN
cana-3282	149	21	,	,	PUNCT
cana-3282	149	22	making	make	VERB
cana-3282	149	23	this	this	DET
cana-3282	149	24	phishing	phishe	VERB
cana-3282	149	25	detection	detection	NOUN
cana-3282	149	26	tool	tool	NOUN
cana-3282	149	27	a	a	DET
cana-3282	149	28	robust	robust	ADJ
cana-3282	149	29	solution	solution	NOUN
cana-3282	149	30	for	for	ADP
cana-3282	149	31	enhancing	enhance	VERB
cana-3282	149	32	cybersecurity	cybersecurity	NOUN
cana-3282	149	33	.	.	PUNCT
cana-3282	150	1	7	7	X
cana-3282	150	2	.	.	X
cana-3282	150	3	conclusion	conclusion	NOUN
cana-3282	150	4	this	this	DET
cana-3282	150	5	paper	paper	NOUN
cana-3282	150	6	successfully	successfully	ADV
cana-3282	150	7	developed	develop	VERB
cana-3282	150	8	a	a	DET
cana-3282	150	9	machine	machine	NOUN
cana-3282	150	10	learning	learning	NOUN
cana-3282	150	11	-	-	PUNCT
cana-3282	150	12	based	base	VERB
cana-3282	150	13	phishing	phishe	VERB
cana-3282	150	14	detection	detection	NOUN
cana-3282	150	15	tool	tool	NOUN
cana-3282	150	16	using	use	VERB
cana-3282	150	17	a	a	DET
cana-3282	150	18	random	random	ADJ
cana-3282	150	19	forest	forest	NOUN
cana-3282	150	20	classifier	classifier	NOUN
cana-3282	150	21	to	to	PART
cana-3282	150	22	classify	classify	VERB
cana-3282	150	23	urls	url	NOUN
cana-3282	150	24	as	as	ADP
cana-3282	150	25	“	"	PUNCT
cana-3282	150	26	phishing	phishe	VERB
cana-3282	150	27	,	,	PUNCT
cana-3282	150	28	”	"	PUNCT
cana-3282	150	29	“	"	PUNCT
cana-3282	150	30	suspicious	suspicious	ADJ
cana-3282	150	31	,	,	PUNCT
cana-3282	150	32	”	"	PUNCT
cana-3282	150	33	or	or	CCONJ
cana-3282	150	34	“	"	PUNCT
cana-3282	150	35	safe	safe	ADJ
cana-3282	150	36	”	"	PUNCT
cana-3282	150	37	.	.	PUNCT
cana-3282	151	1	by	by	ADP
cana-3282	151	2	leveraging	leverage	VERB
cana-3282	151	3	url	url	NOUN
cana-3282	151	4	-	-	PUNCT
cana-3282	151	5	based	base	VERB
cana-3282	151	6	features	feature	NOUN
cana-3282	151	7	such	such	ADJ
cana-3282	151	8	as	as	ADP
cana-3282	151	9	length	length	NOUN
cana-3282	151	10	,	,	PUNCT
cana-3282	151	11	special	special	ADJ
cana-3282	151	12	characters	character	NOUN
cana-3282	151	13	,	,	PUNCT
cana-3282	151	14	https	https	NOUN
cana-3282	151	15	usage	usage	NOUN
cana-3282	151	16	,	,	PUNCT
cana-3282	151	17	and	and	CCONJ
cana-3282	151	18	domain	domain	NOUN
cana-3282	151	19	reputation	reputation	NOUN
cana-3282	151	20	,	,	PUNCT
cana-3282	151	21	the	the	DET
cana-3282	151	22	model	model	NOUN
cana-3282	151	23	achieved	achieve	VERB
cana-3282	151	24	a	a	DET
cana-3282	151	25	high	high	ADJ
cana-3282	151	26	accuracy	accuracy	NOUN
cana-3282	151	27	of	of	ADP
cana-3282	151	28	95.2	95.2	NUM
cana-3282	151	29	%	%	NOUN
cana-3282	151	30	,	,	PUNCT
cana-3282	151	31	demonstrating	demonstrate	VERB
cana-3282	151	32	its	its	PRON
cana-3282	151	33	effectiveness	effectiveness	NOUN
cana-3282	151	34	in	in	ADP
cana-3282	151	35	identifying	identify	VERB
cana-3282	151	36	phishing	phishe	VERB
cana-3282	151	37	urls	url	NOUN
cana-3282	151	38	in	in	ADP
cana-3282	151	39	real	real	ADJ
cana-3282	151	40	time	time	NOUN
cana-3282	151	41	.	.	PUNCT
cana-3282	152	1	the	the	DET
cana-3282	152	2	results	result	NOUN
cana-3282	152	3	show	show	VERB
cana-3282	152	4	that	that	SCONJ
cana-3282	152	5	the	the	DET
cana-3282	152	6	random	random	ADJ
cana-3282	152	7	forest	forest	NOUN
cana-3282	152	8	model	model	NOUN
cana-3282	152	9	is	be	AUX
cana-3282	152	10	both	both	CCONJ
cana-3282	152	11	reliable	reliable	ADJ
cana-3282	152	12	and	and	CCONJ
cana-3282	152	13	robust	robust	ADJ
cana-3282	152	14	,	,	PUNCT
cana-3282	152	15	offering	offer	VERB
cana-3282	152	16	a	a	DET
cana-3282	152	17	balanced	balanced	ADJ
cana-3282	152	18	communications	communication	NOUN
cana-3282	152	19	on	on	ADP
cana-3282	152	20	applied	apply	VERB
cana-3282	152	21	nonlinear	nonlinear	ADJ
cana-3282	152	22	analysis	analysis	NOUN
cana-3282	152	23	issn	issn	NOUN
cana-3282	152	24	:	:	PUNCT
cana-3282	152	25	1074	1074	NUM
cana-3282	152	26	-	-	PUNCT
cana-3282	152	27	133x	133x	NUM
cana-3282	152	28	vol	vol	NOUN
cana-3282	152	29	32	32	NUM
cana-3282	152	30	no	no	NOUN
cana-3282	152	31	.	.	PUNCT
cana-3282	153	1	6s	6s	NUM
cana-3282	153	2	(	(	PUNCT
cana-3282	153	3	2025	2025	NUM
cana-3282	153	4	)	)	PUNCT
cana-3282	153	5	159	159	NUM
cana-3282	153	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-3282	153	7	performance	performance	NOUN
cana-3282	153	8	with	with	ADP
cana-3282	153	9	low	low	ADJ
cana-3282	153	10	rates	rate	NOUN
cana-3282	153	11	of	of	ADP
cana-3282	153	12	false	false	ADJ
cana-3282	153	13	positives	positive	NOUN
cana-3282	153	14	and	and	CCONJ
cana-3282	153	15	negatives	negative	NOUN
cana-3282	153	16	.	.	PUNCT
cana-3282	154	1	while	while	SCONJ
cana-3282	154	2	effective	effective	ADJ
cana-3282	154	3	,	,	PUNCT
cana-3282	154	4	the	the	DET
cana-3282	154	5	tool	tool	NOUN
cana-3282	154	6	has	have	VERB
cana-3282	154	7	limitations	limitation	NOUN
cana-3282	154	8	,	,	PUNCT
cana-3282	154	9	including	include	VERB
cana-3282	154	10	occasional	occasional	ADJ
cana-3282	154	11	false	false	ADJ
cana-3282	154	12	positives	positive	NOUN
cana-3282	154	13	and	and	CCONJ
cana-3282	154	14	the	the	DET
cana-3282	154	15	need	need	NOUN
cana-3282	154	16	for	for	ADP
cana-3282	154	17	regular	regular	ADJ
cana-3282	154	18	updates	update	NOUN
cana-3282	154	19	to	to	PART
cana-3282	154	20	handle	handle	VERB
cana-3282	154	21	new	new	ADJ
cana-3282	154	22	phishing	phishing	NOUN
cana-3282	154	23	tactics	tactic	NOUN
cana-3282	154	24	.	.	PUNCT
cana-3282	155	1	future	future	ADJ
cana-3282	155	2	improvements	improvement	NOUN
cana-3282	155	3	,	,	PUNCT
cana-3282	155	4	such	such	ADJ
cana-3282	155	5	as	as	ADP
cana-3282	155	6	incorporating	incorporate	VERB
cana-3282	155	7	a	a	DET
cana-3282	155	8	whitelist	whitelist	NOUN
cana-3282	155	9	,	,	PUNCT
cana-3282	155	10	expanding	expand	VERB
cana-3282	155	11	feature	feature	NOUN
cana-3282	155	12	sets	set	NOUN
cana-3282	155	13	,	,	PUNCT
cana-3282	155	14	and	and	CCONJ
cana-3282	155	15	developing	develop	VERB
cana-3282	155	16	a	a	DET
cana-3282	155	17	browser	browser	NOUN
cana-3282	155	18	extension	extension	NOUN
cana-3282	155	19	,	,	PUNCT
cana-3282	155	20	can	can	AUX
cana-3282	155	21	further	far	ADV
cana-3282	155	22	enhance	enhance	VERB
cana-3282	155	23	its	its	PRON
cana-3282	155	24	accuracy	accuracy	NOUN
cana-3282	155	25	and	and	CCONJ
cana-3282	155	26	usability	usability	NOUN
cana-3282	155	27	.	.	PUNCT
cana-3282	156	1	overall	overall	ADV
cana-3282	156	2	,	,	PUNCT
cana-3282	156	3	this	this	DET
cana-3282	156	4	paper	paper	NOUN
cana-3282	156	5	highlights	highlight	VERB
cana-3282	156	6	the	the	DET
cana-3282	156	7	potential	potential	NOUN
cana-3282	156	8	of	of	ADP
cana-3282	156	9	machine	machine	NOUN
cana-3282	156	10	learning	learning	NOUN
cana-3282	156	11	in	in	ADP
cana-3282	156	12	combating	combat	VERB
cana-3282	156	13	phishing	phishe	VERB
cana-3282	156	14	attacks	attack	NOUN
cana-3282	156	15	,	,	PUNCT
cana-3282	156	16	providing	provide	VERB
cana-3282	156	17	a	a	DET
cana-3282	156	18	practical	practical	ADJ
cana-3282	156	19	solution	solution	NOUN
cana-3282	156	20	that	that	PRON
cana-3282	156	21	contributes	contribute	VERB
cana-3282	156	22	to	to	ADP
cana-3282	156	23	the	the	DET
cana-3282	156	24	safety	safety	NOUN
cana-3282	156	25	and	and	CCONJ
cana-3282	156	26	security	security	NOUN
cana-3282	156	27	of	of	ADP
cana-3282	156	28	online	online	ADJ
cana-3282	156	29	users	user	NOUN
cana-3282	156	30	.	.	PUNCT
cana-3282	157	1	references	reference	NOUN
cana-3282	157	2	[	[	X
cana-3282	157	3	1	1	NUM
cana-3282	157	4	]	]	PUNCT
cana-3282	157	5	a.	a.	NOUN
cana-3282	157	6	soni	soni	PROPN
cana-3282	157	7	and	and	CCONJ
cana-3282	157	8	p.	p.	NOUN
cana-3282	157	9	abrol	abrol	NOUN
cana-3282	157	10	,	,	PUNCT
cana-3282	157	11	“	"	PUNCT
cana-3282	157	12	phishing	phishe	VERB
cana-3282	157	13	website	website	NOUN
cana-3282	157	14	detection	detection	NOUN
cana-3282	157	15	,	,	PUNCT
cana-3282	157	16	”	"	PUNCT
cana-3282	157	17	bachelor	bachelor	NOUN
cana-3282	157	18	of	of	ADP
cana-3282	157	19	technology	technology	NOUN
cana-3282	157	20	thesis	thesis	NOUN
cana-3282	157	21	,	,	PUNCT
cana-3282	157	22	jaypee	jaypee	PROPN
cana-3282	157	23	university	university	PROPN
cana-3282	157	24	of	of	ADP
cana-3282	157	25	information	information	NOUN
cana-3282	157	26	technology	technology	PROPN
cana-3282	157	27	,	,	PUNCT
cana-3282	157	28	waknaghat	waknaghat	NOUN
cana-3282	157	29	,	,	PUNCT
cana-3282	157	30	2022	2022	NUM
cana-3282	157	31	,	,	PUNCT
cana-3282	157	32	supervised	supervise	VERB
cana-3282	157	33	by	by	ADP
cana-3282	157	34	mr	mr	PROPN
cana-3282	157	35	.	.	PROPN
cana-3282	157	36	prateek	prateek	PROPN
cana-3282	157	37	thakral	thakral	PROPN
cana-3282	157	38	.	.	PUNCT
cana-3282	158	1	[	[	X
cana-3282	158	2	2	2	X
cana-3282	158	3	]	]	PUNCT
cana-3282	158	4	h.	h.	PROPN
cana-3282	158	5	h.	h.	PROPN
cana-3282	158	6	nguyen	nguyen	PROPN
cana-3282	158	7	and	and	CCONJ
cana-3282	158	8	d.	d.	PROPN
cana-3282	158	9	t.	t.	PROPN
cana-3282	158	10	nguyen	nguyen	PROPN
cana-3282	158	11	,	,	PUNCT
cana-3282	158	12	“	"	PUNCT
cana-3282	158	13	an	an	DET
cana-3282	158	14	intelligent	intelligent	ADJ
cana-3282	158	15	system	system	NOUN
cana-3282	158	16	for	for	ADP
cana-3282	158	17	detecting	detect	VERB
cana-3282	158	18	phishing	phishe	VERB
cana-3282	158	19	websites	website	NOUN
cana-3282	158	20	using	use	VERB
cana-3282	158	21	machine	machine	NOUN
cana-3282	158	22	learning	learning	NOUN
cana-3282	158	23	,	,	PUNCT
cana-3282	158	24	”	"	PUNCT
cana-3282	158	25	in	in	ADP
cana-3282	158	26	proceedings	proceeding	NOUN
cana-3282	158	27	of	of	ADP
cana-3282	158	28	the	the	DET
cana-3282	158	29	2019	2019	NUM
cana-3282	158	30	ieee	ieee	NOUN
cana-3282	158	31	international	international	ADJ
cana-3282	158	32	conference	conference	NOUN
cana-3282	158	33	on	on	ADP
cana-3282	158	34	cybersecurity	cybersecurity	NOUN
cana-3282	158	35	and	and	CCONJ
cana-3282	158	36	resilience	resilience	NOUN
cana-3282	158	37	(	(	PUNCT
cana-3282	158	38	iccsr	iccsr	PROPN
cana-3282	158	39	)	)	PUNCT
cana-3282	158	40	,	,	PUNCT
cana-3282	158	41	pp	pp	ADJ
cana-3282	158	42	.	.	PUNCT
cana-3282	159	1	1	1	NUM
cana-3282	159	2	-	-	SYM
cana-3282	159	3	6	6	NUM
cana-3282	159	4	,	,	PUNCT
cana-3282	159	5	ieee	ieee	NOUN
cana-3282	159	6	,	,	PUNCT
cana-3282	159	7	2019	2019	NUM
cana-3282	159	8	.	.	PUNCT
cana-3282	160	1	doi	doi	NOUN
cana-3282	160	2	:	:	PUNCT
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cana-3282	160	4	/	/	SYM
cana-3282	160	5	cais.2019.8769571	cais.2019.8769571	NOUN
cana-3282	160	6	.	.	PUNCT
cana-3282	161	1	[	[	X
cana-3282	161	2	3	3	X
cana-3282	161	3	]	]	X
cana-3282	161	4	t.	t.	PROPN
cana-3282	161	5	choudhary	choudhary	PROPN
cana-3282	161	6	,	,	PUNCT
cana-3282	161	7	s.	s.	PROPN
cana-3282	161	8	mhapankar	mhapankar	PROPN
cana-3282	161	9	,	,	PUNCT
cana-3282	161	10	r.	r.	PROPN
cana-3282	161	11	buddha	buddha	PROPN
cana-3282	161	12	,	,	PUNCT
cana-3282	161	13	a.	a.	PROPN
cana-3282	161	14	kharuk	kharuk	PROPN
cana-3282	161	15	,	,	PUNCT
cana-3282	161	16	and	and	CCONJ
cana-3282	161	17	r.	r.	PROPN
cana-3282	161	18	patil	patil	PROPN
cana-3282	161	19	,	,	PUNCT
cana-3282	161	20	“	"	PUNCT
cana-3282	161	21	a	a	DET
cana-3282	161	22	machine	machine	NOUN
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cana-3282	161	24	approach	approach	NOUN
cana-3282	161	25	for	for	ADP
cana-3282	161	26	phishing	phishe	VERB
cana-3282	161	27	attack	attack	NOUN
cana-3282	161	28	detection	detection	NOUN
cana-3282	161	29	,	,	PUNCT
cana-3282	161	30	”	"	PUNCT
cana-3282	161	31	journal	journal	NOUN
cana-3282	161	32	of	of	ADP
cana-3282	161	33	artificial	artificial	ADJ
cana-3282	161	34	intelligence	intelligence	NOUN
cana-3282	161	35	and	and	CCONJ
cana-3282	161	36	technology	technology	NOUN
cana-3282	161	37	,	,	PUNCT
cana-3282	161	38	vol	vol	NOUN
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cana-3282	161	40	3	3	NUM
cana-3282	161	41	,	,	PUNCT
cana-3282	161	42	no	no	INTJ
cana-3282	161	43	.	.	NOUN
cana-3282	161	44	3	3	NUM
cana-3282	161	45	,	,	PUNCT
cana-3282	161	46	pp	pp	ADJ
cana-3282	161	47	.	.	PUNCT
cana-3282	162	1	108	108	NUM
cana-3282	162	2	-	-	SYM
cana-3282	162	3	113	113	NUM
cana-3282	162	4	,	,	PUNCT
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cana-3282	163	1	https://doi.org/10.37965/jait.2023.0197	https://doi.org/10.37965/jait.2023.0197	PROPN
cana-3282	163	2	.	.	PUNCT
cana-3282	164	1	[	[	X
cana-3282	164	2	4	4	X
cana-3282	164	3	]	]	PUNCT
cana-3282	164	4	s.	s.	PROPN
cana-3282	164	5	hossain	hossain	PROPN
cana-3282	164	6	,	,	PUNCT
cana-3282	164	7	d.	d.	PROPN
cana-3282	164	8	sarma	sarma	PROPN
cana-3282	164	9	,	,	PUNCT
cana-3282	164	10	and	and	CCONJ
cana-3282	164	11	r.	r.	PROPN
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cana-3282	164	13	,	,	PUNCT
cana-3282	164	14	“	"	PUNCT
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cana-3282	164	16	learning	learning	NOUN
cana-3282	164	17	-	-	PUNCT
cana-3282	164	18	based	base	VERB
cana-3282	164	19	phishing	phishing	NOUN
cana-3282	164	20	attack	attack	NOUN
cana-3282	164	21	detection	detection	NOUN
cana-3282	164	22	,	,	PUNCT
cana-3282	164	23	”	"	PUNCT
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cana-3282	164	25	journal	journal	NOUN
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cana-3282	164	27	advanced	advanced	ADJ
cana-3282	164	28	computer	computer	NOUN
cana-3282	164	29	science	science	NOUN
cana-3282	164	30	and	and	CCONJ
cana-3282	164	31	applications	application	NOUN
cana-3282	164	32	(	(	PUNCT
cana-3282	164	33	ijacsa	ijacsa	VERB
cana-3282	164	34	)	)	PUNCT
cana-3282	164	35	,	,	PUNCT
cana-3282	164	36	vol	vol	NOUN
cana-3282	164	37	.	.	PROPN
cana-3282	164	38	11	11	NUM
cana-3282	164	39	,	,	PUNCT
cana-3282	164	40	no	no	INTJ
cana-3282	164	41	.	.	NOUN
cana-3282	164	42	9	9	NUM
cana-3282	164	43	,	,	PUNCT
cana-3282	164	44	pp	pp	ADJ
cana-3282	164	45	.	.	PUNCT
cana-3282	165	1	378	378	NUM
cana-3282	165	2	-	-	SYM
cana-3282	165	3	388	388	NUM
cana-3282	165	4	,	,	PUNCT
cana-3282	165	5	2020	2020	NUM
cana-3282	165	6	.	.	PUNCT
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cana-3282	166	2	.	.	PUNCT
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cana-3282	167	2	5	5	X
cana-3282	167	3	]	]	PUNCT
cana-3282	167	4	g.	g.	PROPN
cana-3282	167	5	mohamed	mohamed	PROPN
cana-3282	167	6	,	,	PUNCT
cana-3282	167	7	j.	j.	PROPN
cana-3282	167	8	visumathi	visumathi	PROPN
cana-3282	167	9	,	,	PUNCT
cana-3282	167	10	m.	m.	NOUN
cana-3282	167	11	mahdal	mahdal	NOUN
cana-3282	167	12	,	,	PUNCT
cana-3282	167	13	j.	j.	PROPN
cana-3282	167	14	anand	anand	PROPN
cana-3282	167	15	,	,	PUNCT
cana-3282	167	16	and	and	CCONJ
cana-3282	167	17	m.	m.	NOUN
cana-3282	167	18	elangovan	elangovan	PROPN
cana-3282	167	19	,	,	PUNCT
cana-3282	167	20	“	"	PUNCT
cana-3282	167	21	an	an	DET
cana-3282	167	22	effective	effective	ADJ
cana-3282	167	23	and	and	CCONJ
cana-3282	167	24	secure	secure	ADJ
cana-3282	167	25	mechanism	mechanism	NOUN
cana-3282	167	26	for	for	ADP
cana-3282	167	27	phishing	phishe	VERB
cana-3282	167	28	attacks	attack	NOUN
cana-3282	167	29	using	use	VERB
cana-3282	167	30	a	a	DET
cana-3282	167	31	machine	machine	NOUN
cana-3282	167	32	learning	learning	NOUN
cana-3282	167	33	approach	approach	NOUN
cana-3282	167	34	,	,	PUNCT
cana-3282	167	35	”	"	PUNCT
cana-3282	167	36	processes	process	NOUN
cana-3282	167	37	,	,	PUNCT
cana-3282	167	38	vol	vol	NOUN
cana-3282	167	39	.	.	PROPN
cana-3282	167	40	10	10	NUM
cana-3282	167	41	,	,	PUNCT
cana-3282	167	42	no	no	INTJ
cana-3282	167	43	.	.	NOUN
cana-3282	167	44	7	7	NUM
cana-3282	167	45	,	,	PUNCT
cana-3282	167	46	p.	p.	NOUN
cana-3282	167	47	1356	1356	NUM
cana-3282	167	48	,	,	PUNCT
cana-3282	167	49	2022	2022	NUM
cana-3282	167	50	.	.	PUNCT
cana-3282	168	1	https://doi.org/10.3390/pr10071356	https://doi.org/10.3390/pr10071356	NOUN
cana-3282	168	2	.	.	PUNCT
cana-3282	169	1	[	[	X
cana-3282	169	2	6	6	NUM
cana-3282	169	3	]	]	PUNCT
cana-3282	169	4	r.	r.	PROPN
cana-3282	169	5	mahajan	mahajan	PROPN
cana-3282	169	6	and	and	CCONJ
cana-3282	169	7	i.	i.	PROPN
cana-3282	169	8	siddavatam	siddavatam	PROPN
cana-3282	169	9	,	,	PUNCT
cana-3282	169	10	“	"	PUNCT
cana-3282	169	11	phishing	phishe	VERB
cana-3282	169	12	website	website	NOUN
cana-3282	169	13	detection	detection	NOUN
cana-3282	169	14	using	use	VERB
cana-3282	169	15	machine	machine	NOUN
cana-3282	169	16	learning	learning	NOUN
cana-3282	169	17	algorithms	algorithm	NOUN
cana-3282	169	18	,	,	PUNCT
cana-3282	169	19	”	"	PUNCT
cana-3282	169	20	international	international	ADJ
cana-3282	169	21	journal	journal	NOUN
cana-3282	169	22	of	of	ADP
cana-3282	169	23	computer	computer	NOUN
cana-3282	169	24	applications	application	NOUN
cana-3282	169	25	,	,	PUNCT
cana-3282	169	26	vol	vol	NOUN
cana-3282	169	27	.	.	PROPN
cana-3282	170	1	181	181	NUM
cana-3282	170	2	,	,	PUNCT
cana-3282	170	3	no	no	INTJ
cana-3282	170	4	.	.	NOUN
cana-3282	170	5	23	23	NUM
cana-3282	170	6	,	,	PUNCT
cana-3282	170	7	2018	2018	NUM
cana-3282	170	8	.	.	PUNCT
cana-3282	171	1	https://doi.org/10.5120/ijca2018918026	https://doi.org/10.5120/ijca2018918026	PROPN
cana-3282	171	2	.	.	PUNCT
cana-3282	172	1	[	[	X
cana-3282	172	2	7	7	X
cana-3282	172	3	]	]	X
cana-3282	172	4	rashid	rashid	PROPN
cana-3282	172	5	,	,	PUNCT
cana-3282	172	6	j.	j.	PROPN
cana-3282	172	7	,	,	PUNCT
cana-3282	172	8	nazir	nazir	PROPN
cana-3282	172	9	,	,	PUNCT
cana-3282	172	10	t.	t.	PROPN
cana-3282	172	11	,	,	PUNCT
cana-3282	172	12	mahmood	mahmood	PROPN
cana-3282	172	13	,	,	PUNCT
cana-3282	172	14	t.	t.	PROPN
cana-3282	172	15	,	,	PUNCT
cana-3282	172	16	&	&	CCONJ
cana-3282	172	17	nisar	nisar	PROPN
cana-3282	172	18	,	,	PUNCT
cana-3282	172	19	m.	m.	NOUN
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cana-3282	172	21	(	(	PUNCT
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cana-3282	172	23	)	)	PUNCT
cana-3282	172	24	.	.	PUNCT
cana-3282	173	1	phishing	phishe	VERB
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cana-3282	173	6	technique	technique	NOUN
cana-3282	173	7	.	.	PUNCT
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cana-3282	174	2	2020	2020	NUM
cana-3282	174	3	first	first	ADJ
cana-3282	174	4	international	international	ADJ
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cana-3282	174	8	systems	system	NOUN
cana-3282	174	9	and	and	CCONJ
cana-3282	174	10	emerging	emerge	VERB
cana-3282	174	11	technologies	technology	NOUN
cana-3282	174	12	(	(	PUNCT
cana-3282	174	13	smarttech	smarttech	NOUN
cana-3282	174	14	)	)	PUNCT
cana-3282	174	15	.	.	PUNCT
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cana-3282	176	3	]	]	PUNCT
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cana-3282	176	6	o.	o.	PROPN
cana-3282	176	7	k.	k.	PROPN
cana-3282	176	8	,	,	PUNCT
cana-3282	176	9	buber	buber	PROPN
cana-3282	176	10	,	,	PUNCT
cana-3282	176	11	e.	e.	PROPN
cana-3282	176	12	,	,	PUNCT
cana-3282	176	13	demir	demir	PROPN
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cana-3282	176	18	diri	diri	PROPN
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cana-3282	176	20	b.	b.	PROPN
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cana-3282	176	23	)	)	PUNCT
cana-3282	176	24	.	.	PUNCT
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cana-3282	177	2	learning	learning	NOUN
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cana-3282	177	4	phishing	phishe	VERB
cana-3282	177	5	detection	detection	NOUN
cana-3282	177	6	from	from	ADP
cana-3282	177	7	urls	url	NOUN
cana-3282	177	8	.	.	PUNCT
cana-3282	178	1	expert	expert	NOUN
cana-3282	178	2	systems	system	NOUN
cana-3282	178	3	with	with	ADP
cana-3282	178	4	applications	application	NOUN
cana-3282	178	5	,	,	PUNCT
cana-3282	178	6	117	117	NUM
cana-3282	178	7	,	,	PUNCT
cana-3282	178	8	345	345	NUM
cana-3282	178	9	-	-	SYM
cana-3282	178	10	357	357	NUM
cana-3282	178	11	.	.	PUNCT
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cana-3282	179	4	]	]	SYM
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cana-3282	180	8	detection	detection	NOUN
cana-3282	180	9	techniques	technique	NOUN
cana-3282	180	10	.	.	PUNCT
cana-3282	181	1	journal	journal	PROPN
cana-3282	181	2	of	of	ADP
cana-3282	181	3	king	king	PROPN
cana-3282	181	4	saud	saud	PROPN
cana-3282	181	5	university	university	PROPN
cana-3282	181	6	computer	computer	NOUN
cana-3282	181	7	and	and	CCONJ
cana-3282	181	8	information	information	NOUN
cana-3282	181	9	sciences	science	NOUN
cana-3282	181	10	,	,	PUNCT
cana-3282	181	11	35(5	35(5	NUM
cana-3282	181	12	)	)	PUNCT
cana-3282	181	13	,	,	PUNCT
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cana-3282	181	15	-	-	SYM
cana-3282	181	16	611	611	NUM
cana-3282	181	17	.	.	PUNCT
cana-3282	182	1	https://doi.org/10.1016/j	https://doi.org/10.1016/j	NOUN
cana-3282	182	2	.	.	PUNCT
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cana-3282	184	3	]	]	X
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cana-3282	184	9	lavanya	lavanya	PROPN
cana-3282	184	10	,	,	PUNCT
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cana-3282	184	12	s.	s.	PROPN
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cana-3282	184	17	s.	s.	PROPN
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cana-3282	184	19	,	,	PUNCT
cana-3282	184	20	“	"	PUNCT
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cana-3282	184	22	-	-	PUNCT
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cana-3282	184	29	multiplelevel	multiplelevel	ADJ
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cana-3282	184	31	learning	learning	NOUN
cana-3282	184	32	methods	method	NOUN
cana-3282	184	33	utilizing	utilize	VERB
cana-3282	184	34	soft	soft	ADJ
cana-3282	184	35	computing	computing	NOUN
cana-3282	184	36	methods	method	NOUN
cana-3282	184	37	,	,	PUNCT
cana-3282	184	38	”	"	PUNCT
cana-3282	184	39	measurement	measurement	NOUN
cana-3282	184	40	:	:	PUNCT
cana-3282	184	41	sensors	sensor	NOUN
cana-3282	184	42	,	,	PUNCT
cana-3282	184	43	vol	vol	NOUN
cana-3282	184	44	.	.	PROPN
cana-3282	184	45	24	24	NUM
cana-3282	184	46	,	,	PUNCT
cana-3282	184	47	dec	dec	PROPN
cana-3282	184	48	.	.	PROPN
cana-3282	184	49	2022	2022	NUM
cana-3282	184	50	,	,	PUNCT
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cana-3282	185	2	11	11	NUM
cana-3282	185	3	]	]	SYM
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cana-3282	185	7	,	,	PUNCT
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cana-3282	185	15	,	,	PUNCT
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cana-3282	185	18	a.	a.	PROPN
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cana-3282	185	20	,	,	PUNCT
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cana-3282	185	22	,	,	PUNCT
cana-3282	185	23	z.	z.	PROPN
cana-3282	185	24	,	,	PUNCT
cana-3282	185	25	&	&	CCONJ
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cana-3282	185	28	k.	k.	PROPN
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cana-3282	185	31	)	)	PUNCT
cana-3282	185	32	.	.	PUNCT
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cana-3282	186	2	comprehensive	comprehensive	ADJ
cana-3282	186	3	survey	survey	NOUN
cana-3282	186	4	of	of	ADP
cana-3282	186	5	ai	ai	ADJ
cana-3282	186	6	-	-	PUNCT
cana-3282	186	7	enabled	enable	VERB
cana-3282	186	8	phishing	phishing	NOUN
cana-3282	186	9	attacks	attack	NOUN
cana-3282	186	10	detection	detection	NOUN
cana-3282	186	11	techniques	technique	NOUN
cana-3282	186	12	.	.	PUNCT
cana-3282	187	1	telecommunication	telecommunication	NOUN
cana-3282	187	2	systems	system	NOUN
cana-3282	187	3	,	,	PUNCT
cana-3282	187	4	76(2	76(2	NUM
cana-3282	187	5	)	)	PUNCT
cana-3282	187	6	,	,	PUNCT
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cana-3282	187	8	-	-	SYM
cana-3282	187	9	154	154	NUM
cana-3282	187	10	.	.	PUNCT
cana-3282	188	1	https://doi.org/	https://doi.org/	VERB
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cana-3282	188	3	/	/	SYM
cana-3282	188	4	s11235020	s11235020	NOUN
cana-3282	188	5	-	-	PUNCT
cana-3282	188	6	00733	00733	NUM
cana-3282	188	7	-	-	PUNCT
cana-3282	188	8	2	2	NUM
cana-3282	188	9	.	.	PUNCT
cana-3282	189	1	[	[	X
cana-3282	189	2	12	12	NUM
cana-3282	189	3	]	]	X
cana-3282	189	4	mohan	mohan	PROPN
cana-3282	189	5	,	,	PUNCT
cana-3282	189	6	b.	b.	PROPN
cana-3282	189	7	a.	a.	PROPN
cana-3282	189	8	,	,	PUNCT
cana-3282	189	9	b.	b.	PROPN
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cana-3282	189	11	,	,	PUNCT
cana-3282	189	12	s.	s.	PROPN
cana-3282	189	13	karan	karan	PROPN
cana-3282	189	14	,	,	PUNCT
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cana-3282	189	16	jawaad	jawaad	PROPN
cana-3282	189	17	shariff	shariff	PROPN
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cana-3282	189	23	.	.	PUNCT
cana-3282	190	1	"	"	PUNCT
cana-3282	190	2	demand	demand	VERB
cana-3282	190	3	forecasting	forecasting	NOUN
cana-3282	190	4	and	and	CCONJ
cana-3282	190	5	route	route	NOUN
cana-3282	190	6	optimization	optimization	NOUN
cana-3282	190	7	in	in	ADP
cana-3282	190	8	supply	supply	NOUN
cana-3282	190	9	chain	chain	NOUN
cana-3282	190	10	industry	industry	NOUN
cana-3282	190	11	using	use	VERB
cana-3282	190	12	data	datum	NOUN
cana-3282	190	13	analytics	analytic	NOUN
cana-3282	190	14	.	.	PUNCT
cana-3282	190	15	"	"	PUNCT
cana-3282	191	1	in	in	ADP
cana-3282	191	2	2021	2021	NUM
cana-3282	191	3	asian	asian	ADJ
cana-3282	191	4	conference	conference	NOUN
cana-3282	191	5	on	on	ADP
cana-3282	191	6	innovation	innovation	NOUN
cana-3282	191	7	in	in	ADP
cana-3282	191	8	technology	technology	NOUN
cana-3282	191	9	(	(	PUNCT
cana-3282	191	10	asiancon	asiancon	NOUN
cana-3282	191	11	)	)	PUNCT
cana-3282	191	12	,	,	PUNCT
cana-3282	191	13	pp	pp	PROPN
cana-3282	191	14	.	.	PUNCT
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cana-3282	192	2	-	-	SYM
cana-3282	192	3	7	7	NUM
cana-3282	192	4	.	.	PUNCT
cana-3282	192	5	ieee	ieee	NOUN
cana-3282	192	6	,	,	PUNCT
cana-3282	192	7	2021	2021	NUM
cana-3282	192	8	.	.	PUNCT