id	sid	tid	token	lemma	pos
cana-5375	1	1	communications	communication	NOUN
cana-5375	1	2	on	on	ADP
cana-5375	1	3	applied	apply	VERB
cana-5375	1	4	nonlinear	nonlinear	ADJ
cana-5375	1	5	analysis	analysis	NOUN
cana-5375	1	6	issn	issn	NOUN
cana-5375	1	7	:	:	PUNCT
cana-5375	1	8	1074	1074	NUM
cana-5375	1	9	-	-	PUNCT
cana-5375	1	10	133x	133x	NUM
cana-5375	1	11	vol	vol	NOUN
cana-5375	1	12	31	31	NUM
cana-5375	1	13	no	no	NOUN
cana-5375	1	14	.	.	PUNCT
cana-5375	2	1	2s	2s	NUM
cana-5375	2	2	(	(	PUNCT
cana-5375	2	3	2024	2024	NUM
cana-5375	2	4	)	)	PUNCT
cana-5375	2	5	739	739	NUM
cana-5375	2	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	2	7	neurosymbolic	neurosymbolic	NOUN
cana-5375	2	8	ai	ai	VERB
cana-5375	2	9	for	for	ADP
cana-5375	2	10	context	context	NOUN
cana-5375	2	11	-	-	PUNCT
cana-5375	2	12	aware	aware	ADJ
cana-5375	2	13	cloud	cloud	NOUN
cana-5375	2	14	security	security	NOUN
cana-5375	2	15	policy	policy	NOUN
cana-5375	2	16	generation	generation	NOUN
cana-5375	2	17	1venkata	1venkata	NUM
cana-5375	2	18	thej	thej	VERB
cana-5375	2	19	deep	deep	ADJ
cana-5375	2	20	,	,	PUNCT
cana-5375	2	21	2jakkaraju	2jakkaraju	NUM
cana-5375	2	22	1,2	1,2	NUM
cana-5375	2	23	cloud	cloud	NOUN
cana-5375	2	24	architect	architect	NOUN
cana-5375	2	25	article	article	NOUN
cana-5375	2	26	history	history	NOUN
cana-5375	2	27	:	:	PUNCT
cana-5375	2	28	received	receive	VERB
cana-5375	2	29	:	:	PUNCT
cana-5375	2	30	12	12	NUM
cana-5375	2	31	-	-	SYM
cana-5375	2	32	01	01	NUM
cana-5375	2	33	-	-	PUNCT
cana-5375	2	34	2024	2024	NUM
cana-5375	2	35	revised	revise	VERB
cana-5375	2	36	:	:	PUNCT
cana-5375	2	37	15	15	NUM
cana-5375	2	38	-	-	NUM
cana-5375	2	39	02	02	NUM
cana-5375	2	40	-	-	PUNCT
cana-5375	2	41	2024	2024	NUM
cana-5375	2	42	accepted	accept	VERB
cana-5375	2	43	:	:	PUNCT
cana-5375	2	44	01	01	NUM
cana-5375	2	45	-	-	PUNCT
cana-5375	2	46	04	04	NUM
cana-5375	2	47	-	-	PUNCT
cana-5375	2	48	2024	2024	NUM
cana-5375	2	49	abstract	abstract	NOUN
cana-5375	2	50	:	:	PUNCT
cana-5375	2	51	a	a	DET
cana-5375	2	52	hybrid	hybrid	ADJ
cana-5375	2	53	neurosymbolic	neurosymbolic	NOUN
cana-5375	3	1	ai	ai	VERB
cana-5375	3	2	framework	framework	NOUN
cana-5375	3	3	is	be	AUX
cana-5375	3	4	proposed	propose	VERB
cana-5375	3	5	by	by	ADP
cana-5375	3	6	this	this	DET
cana-5375	3	7	study	study	NOUN
cana-5375	3	8	to	to	PART
cana-5375	3	9	automatically	automatically	ADV
cana-5375	3	10	generate	generate	VERB
cana-5375	3	11	an	an	DET
cana-5375	3	12	adaptive	adaptive	ADJ
cana-5375	3	13	,	,	PUNCT
cana-5375	3	14	explainable	explainable	ADJ
cana-5375	3	15	security	security	NOUN
cana-5375	3	16	policies	policy	NOUN
cana-5375	3	17	in	in	ADP
cana-5375	3	18	hybrid	hybrid	ADJ
cana-5375	3	19	cloud	cloud	NOUN
cana-5375	3	20	environment	environment	NOUN
cana-5375	3	21	.	.	PUNCT
cana-5375	4	1	the	the	DET
cana-5375	4	2	system	system	NOUN
cana-5375	4	3	couples	couple	VERB
cana-5375	4	4	neural	neural	ADJ
cana-5375	4	5	pattern	pattern	NOUN
cana-5375	4	6	recognition	recognition	NOUN
cana-5375	4	7	with	with	ADP
cana-5375	4	8	symbolic	symbolic	ADJ
cana-5375	4	9	reasoning	reasoning	NOUN
cana-5375	4	10	in	in	ADP
cana-5375	4	11	order	order	NOUN
cana-5375	4	12	to	to	PART
cana-5375	4	13	achieve	achieve	VERB
cana-5375	4	14	context	context	NOUN
cana-5375	4	15	aware	aware	ADJ
cana-5375	4	16	,	,	PUNCT
cana-5375	4	17	scalable	scalable	ADJ
cana-5375	4	18	,	,	PUNCT
cana-5375	4	19	and	and	CCONJ
cana-5375	4	20	audible	audible	ADJ
cana-5375	4	21	security	security	NOUN
cana-5375	4	22	in	in	ADP
cana-5375	4	23	the	the	DET
cana-5375	4	24	cloud	cloud	NOUN
cana-5375	4	25	.	.	PUNCT
cana-5375	5	1	it	it	PRON
cana-5375	5	2	is	be	AUX
cana-5375	5	3	presented	present	VERB
cana-5375	5	4	and	and	CCONJ
cana-5375	5	5	validated	validate	VERB
cana-5375	5	6	in	in	ADP
cana-5375	5	7	simulations	simulation	NOUN
cana-5375	5	8	improved	improve	VERB
cana-5375	5	9	accuracy	accuracy	NOUN
cana-5375	5	10	,	,	PUNCT
cana-5375	5	11	policy	policy	NOUN
cana-5375	5	12	compliance	compliance	NOUN
cana-5375	5	13	and	and	CCONJ
cana-5375	5	14	interpretability	interpretability	NOUN
cana-5375	5	15	for	for	ADP
cana-5375	5	16	multi	multi	ADJ
cana-5375	5	17	-	-	ADJ
cana-5375	5	18	environments	environment	NOUN
cana-5375	5	19	deployments	deployment	NOUN
cana-5375	5	20	.	.	PUNCT
cana-5375	6	1	keywords	keyword	NOUN
cana-5375	6	2	:	:	PUNCT
cana-5375	6	3	neurosymbolic	neurosymbolic	ADJ
cana-5375	6	4	,	,	PUNCT
cana-5375	6	5	cloud	cloud	ADJ
cana-5375	6	6	,	,	PUNCT
cana-5375	6	7	policy	policy	NOUN
cana-5375	6	8	,	,	PUNCT
cana-5375	6	9	security	security	NOUN
cana-5375	6	10	,	,	PUNCT
cana-5375	6	11	ai	ai	VERB
cana-5375	6	12	.	.	PROPN
cana-5375	6	13	1	1	X
cana-5375	6	14	.	.	X
cana-5375	6	15	introduction	introduction	NOUN
cana-5375	6	16	the	the	DET
cana-5375	6	17	complexity	complexity	NOUN
cana-5375	6	18	and	and	CCONJ
cana-5375	6	19	the	the	DET
cana-5375	6	20	threats	threat	NOUN
cana-5375	6	21	in	in	ADP
cana-5375	6	22	the	the	DET
cana-5375	6	23	cloud	cloud	NOUN
cana-5375	6	24	environments	environment	NOUN
cana-5375	6	25	make	make	VERB
cana-5375	6	26	it	it	PRON
cana-5375	6	27	a	a	DET
cana-5375	6	28	need	need	NOUN
cana-5375	6	29	of	of	ADP
cana-5375	6	30	intelligent	intelligent	ADJ
cana-5375	6	31	and	and	CCONJ
cana-5375	6	32	dynamic	dynamic	ADJ
cana-5375	6	33	security	security	NOUN
cana-5375	6	34	policy	policy	NOUN
cana-5375	6	35	.	.	PUNCT
cana-5375	7	1	the	the	DET
cana-5375	7	2	system	system	NOUN
cana-5375	7	3	presented	present	VERB
cana-5375	7	4	in	in	ADP
cana-5375	7	5	this	this	DET
cana-5375	7	6	paper	paper	NOUN
cana-5375	7	7	integrates	integrate	VERB
cana-5375	7	8	neural	neural	ADJ
cana-5375	7	9	networks	network	NOUN
cana-5375	7	10	with	with	ADP
cana-5375	7	11	symbolic	symbolic	ADJ
cana-5375	7	12	ai	ai	VERB
cana-5375	7	13	in	in	ADP
cana-5375	7	14	order	order	NOUN
cana-5375	7	15	to	to	PART
cana-5375	7	16	automatically	automatically	ADV
cana-5375	7	17	obtain	obtain	VERB
cana-5375	7	18	a	a	DET
cana-5375	7	19	context	context	NOUN
cana-5375	7	20	aware	aware	ADJ
cana-5375	7	21	policy	policy	NOUN
cana-5375	7	22	generation	generation	NOUN
cana-5375	7	23	system	system	NOUN
cana-5375	7	24	.	.	PUNCT
cana-5375	8	1	the	the	DET
cana-5375	8	2	neurosymbolic	neurosymbolic	ADJ
cana-5375	8	3	enforcement	enforcement	NOUN
cana-5375	8	4	is	be	AUX
cana-5375	8	5	interpretable	interpretable	ADJ
cana-5375	8	6	,	,	PUNCT
cana-5375	8	7	adaptive	adaptive	ADJ
cana-5375	8	8	,	,	PUNCT
cana-5375	8	9	and	and	CCONJ
cana-5375	8	10	regulation	regulation	NOUN
cana-5375	8	11	compliant	compliant	ADJ
cana-5375	8	12	in	in	ADP
cana-5375	8	13	the	the	DET
cana-5375	8	14	case	case	NOUN
cana-5375	8	15	of	of	ADP
cana-5375	8	16	hybrid	hybrid	ADJ
cana-5375	8	17	infrastructures	infrastructure	NOUN
cana-5375	8	18	and	and	CCONJ
cana-5375	8	19	multi	multi	ADJ
cana-5375	8	20	cloud	cloud	NOUN
cana-5375	8	21	environments	environment	NOUN
cana-5375	8	22	.	.	PUNCT
cana-5375	9	1	2	2	X
cana-5375	9	2	.	.	X
cana-5375	9	3	literature	literature	NOUN
cana-5375	9	4	review	review	VERB
cana-5375	9	5	2.1	2.1	NUM
cana-5375	9	6	evolution	evolution	NOUN
cana-5375	9	7	of	of	ADP
cana-5375	9	8	neurosymbolic	neurosymbolic	ADJ
cana-5375	9	9	ai	ai	VERB
cana-5375	9	10	neurosymbolic	neurosymbolic	ADJ
cana-5375	9	11	artificial	artificial	ADJ
cana-5375	9	12	intelligence	intelligence	NOUN
cana-5375	9	13	(	(	PUNCT
cana-5375	9	14	nsai	nsai	ADJ
cana-5375	9	15	)	)	PUNCT
cana-5375	9	16	is	be	AUX
cana-5375	9	17	an	an	DET
cana-5375	9	18	emergent	emergent	ADJ
cana-5375	9	19	paradigm	paradigm	NOUN
cana-5375	9	20	which	which	PRON
cana-5375	9	21	is	be	AUX
cana-5375	9	22	a	a	DET
cana-5375	9	23	combination	combination	NOUN
cana-5375	9	24	of	of	ADP
cana-5375	9	25	pattern	pattern	NOUN
cana-5375	9	26	recognition	recognition	NOUN
cana-5375	9	27	strength	strength	NOUN
cana-5375	9	28	of	of	ADP
cana-5375	9	29	neural	neural	ADJ
cana-5375	9	30	network	network	NOUN
cana-5375	9	31	and	and	CCONJ
cana-5375	9	32	structured	structured	ADJ
cana-5375	9	33	rule	rule	NOUN
cana-5375	9	34	based	base	VERB
cana-5375	9	35	logic	logic	NOUN
cana-5375	9	36	of	of	ADP
cana-5375	9	37	symbolic	symbolic	ADJ
cana-5375	9	38	ai	ai	PROPN
cana-5375	9	39	.	.	PUNCT
cana-5375	10	1	compared	compare	VERB
cana-5375	10	2	to	to	ADP
cana-5375	10	3	standalone	standalone	NOUN
cana-5375	10	4	ai	ai	PROPN
cana-5375	10	5	systems	system	NOUN
cana-5375	10	6	,	,	PUNCT
cana-5375	10	7	these	these	DET
cana-5375	10	8	fusion	fusion	NOUN
cana-5375	10	9	addresses	address	VERB
cana-5375	10	10	some	some	DET
cana-5375	10	11	major	major	ADJ
cana-5375	10	12	limitations	limitation	NOUN
cana-5375	10	13	in	in	ADP
cana-5375	10	14	black	black	ADJ
cana-5375	10	15	box	box	PROPN
cana-5375	10	16	nature	nature	NOUN
cana-5375	10	17	of	of	ADP
cana-5375	10	18	neural	neural	ADJ
cana-5375	10	19	networks	network	NOUN
cana-5375	10	20	in	in	ADP
cana-5375	10	21	standalone	standalone	ADJ
cana-5375	10	22	ai	ai	PROPN
cana-5375	10	23	systems	system	NOUN
cana-5375	10	24	which	which	PRON
cana-5375	10	25	hinders	hinder	VERB
cana-5375	10	26	explainability	explainability	NOUN
cana-5375	10	27	,	,	PUNCT
cana-5375	10	28	safety	safety	NOUN
cana-5375	10	29	,	,	PUNCT
cana-5375	10	30	and	and	CCONJ
cana-5375	10	31	trust	trust	NOUN
cana-5375	10	32	in	in	ADP
cana-5375	10	33	high	high	ADJ
cana-5375	10	34	stakes	stake	NOUN
cana-5375	10	35	environments	environment	NOUN
cana-5375	10	36	such	such	ADJ
cana-5375	10	37	as	as	ADP
cana-5375	10	38	cybersecurity	cybersecurity	NOUN
cana-5375	10	39	,	,	PUNCT
cana-5375	10	40	as	as	SCONJ
cana-5375	10	41	stated	state	VERB
cana-5375	10	42	by	by	ADP
cana-5375	10	43	piplai	piplai	PROPN
cana-5375	10	44	et	et	PROPN
cana-5375	10	45	al	al	PROPN
cana-5375	10	46	.	.	PROPN
cana-5375	10	47	(	(	PUNCT
cana-5375	10	48	2023	2023	NUM
cana-5375	10	49	)	)	PUNCT
cana-5375	10	50	.	.	PUNCT
cana-5375	11	1	on	on	ADP
cana-5375	11	2	the	the	DET
cana-5375	11	3	other	other	ADJ
cana-5375	11	4	hand	hand	NOUN
cana-5375	11	5	,	,	PUNCT
cana-5375	11	6	traditional	traditional	ADJ
cana-5375	11	7	neural	neural	ADJ
cana-5375	11	8	models	model	NOUN
cana-5375	11	9	can	can	AUX
cana-5375	11	10	explain	explain	VERB
cana-5375	11	11	the	the	DET
cana-5375	11	12	statistical	statistical	ADJ
cana-5375	11	13	correlations	correlation	NOUN
cana-5375	11	14	anywhere	anywhere	ADV
cana-5375	11	15	and	and	CCONJ
cana-5375	11	16	from	from	ADP
cana-5375	11	17	any	any	DET
cana-5375	11	18	dataset	dataset	NOUN
cana-5375	11	19	it	it	PRON
cana-5375	11	20	has	have	AUX
cana-5375	11	21	but	but	CCONJ
cana-5375	11	22	fail	fail	VERB
cana-5375	11	23	to	to	PART
cana-5375	11	24	explain	explain	VERB
cana-5375	11	25	in	in	ADP
cana-5375	11	26	term	term	NOUN
cana-5375	11	27	of	of	ADP
cana-5375	11	28	what	what	PRON
cana-5375	11	29	and	and	CCONJ
cana-5375	11	30	achievable	achievable	ADJ
cana-5375	11	31	if	if	SCONJ
cana-5375	11	32	those	those	DET
cana-5375	11	33	data	datum	NOUN
cana-5375	11	34	are	be	AUX
cana-5375	11	35	sought	seek	VERB
cana-5375	11	36	in	in	ADP
cana-5375	11	37	the	the	DET
cana-5375	11	38	form	form	NOUN
cana-5375	11	39	of	of	ADP
cana-5375	11	40	human	human	ADJ
cana-5375	11	41	understandable	understandable	ADJ
cana-5375	11	42	explanations	explanation	NOUN
cana-5375	11	43	.	.	PUNCT
cana-5375	12	1	however	however	ADV
cana-5375	12	2	,	,	PUNCT
cana-5375	12	3	by	by	ADP
cana-5375	12	4	contrast	contrast	NOUN
cana-5375	12	5	to	to	ADP
cana-5375	12	6	symbolic	symbolic	ADJ
cana-5375	12	7	ai	ai	PROPN
cana-5375	12	8	,	,	PUNCT
cana-5375	12	9	data	datum	NOUN
cana-5375	12	10	complexity	complexity	NOUN
cana-5375	12	11	poses	pose	VERB
cana-5375	12	12	a	a	DET
cana-5375	12	13	challenge	challenge	NOUN
cana-5375	12	14	to	to	ADP
cana-5375	12	15	symbolic	symbolic	ADJ
cana-5375	12	16	ai	ai	AUX
cana-5375	12	17	based	base	VERB
cana-5375	12	18	on	on	ADP
cana-5375	12	19	the	the	DET
cana-5375	12	20	formal	formal	ADJ
cana-5375	12	21	logic	logic	NOUN
cana-5375	12	22	,	,	PUNCT
cana-5375	12	23	and	and	CCONJ
cana-5375	12	24	it	it	PRON
cana-5375	12	25	excels	excel	VERB
cana-5375	12	26	at	at	ADP
cana-5375	12	27	representing	represent	VERB
cana-5375	12	28	domain	domain	NOUN
cana-5375	12	29	knowledge	knowledge	NOUN
cana-5375	12	30	and	and	CCONJ
cana-5375	12	31	deriving	derive	VERB
cana-5375	12	32	conclusions	conclusion	NOUN
cana-5375	12	33	from	from	ADP
cana-5375	12	34	it	it	PRON
cana-5375	12	35	.	.	PUNCT
cana-5375	13	1	the	the	DET
cana-5375	13	2	power	power	NOUN
cana-5375	13	3	of	of	ADP
cana-5375	13	4	the	the	DET
cana-5375	13	5	integration	integration	NOUN
cana-5375	13	6	offered	offer	VERB
cana-5375	13	7	by	by	ADP
cana-5375	13	8	neurosymbolic	neurosymbolic	ADJ
cana-5375	13	9	systems	system	NOUN
cana-5375	13	10	to	to	PART
cana-5375	13	11	combine	combine	VERB
cana-5375	13	12	these	these	DET
cana-5375	13	13	complementary	complementary	ADJ
cana-5375	13	14	strengths	strength	NOUN
cana-5375	13	15	is	be	AUX
cana-5375	13	16	to	to	PART
cana-5375	13	17	enable	enable	VERB
cana-5375	13	18	ai	ai	VERB
cana-5375	13	19	systems	system	NOUN
cana-5375	13	20	that	that	PRON
cana-5375	13	21	are	be	AUX
cana-5375	13	22	accurate	accurate	ADJ
cana-5375	13	23	and	and	CCONJ
cana-5375	13	24	interpretable	interpretable	ADJ
cana-5375	13	25	.	.	PUNCT
cana-5375	14	1	the	the	DET
cana-5375	14	2	work	work	NOUN
cana-5375	14	3	of	of	ADP
cana-5375	14	4	gaur	gaur	NOUN
cana-5375	14	5	and	and	CCONJ
cana-5375	14	6	sheth	sheth	PROPN
cana-5375	14	7	(	(	PUNCT
cana-5375	14	8	2023	2023	NUM
cana-5375	14	9	)	)	PUNCT
cana-5375	14	10	also	also	ADV
cana-5375	14	11	reflects	reflect	VERB
cana-5375	14	12	this	this	DET
cana-5375	14	13	basic	basic	ADJ
cana-5375	14	14	value	value	NOUN
cana-5375	14	15	proposition	proposition	NOUN
cana-5375	14	16	in	in	ADP
cana-5375	14	17	their	their	PRON
cana-5375	14	18	crest	crest	NOUN
cana-5375	14	19	framework	framework	NOUN
cana-5375	14	20	that	that	PRON
cana-5375	14	21	models	model	VERB
cana-5375	14	22	how	how	SCONJ
cana-5375	14	23	nsai	nsai	ADJ
cana-5375	14	24	ought	ought	AUX
cana-5375	14	25	to	to	PART
cana-5375	14	26	enforce	enforce	VERB
cana-5375	14	27	consistency	consistency	NOUN
cana-5375	14	28	,	,	PUNCT
cana-5375	14	29	reliability	reliability	NOUN
cana-5375	14	30	and	and	CCONJ
cana-5375	14	31	explainability	explainability	NOUN
cana-5375	14	32	,	,	PUNCT
cana-5375	14	33	which	which	PRON
cana-5375	14	34	is	be	AUX
cana-5375	14	35	essential	essential	ADJ
cana-5375	14	36	for	for	ADP
cana-5375	14	37	llms	llm	NOUN
cana-5375	14	38	.	.	PUNCT
cana-5375	15	1	communications	communication	NOUN
cana-5375	15	2	on	on	ADP
cana-5375	15	3	applied	apply	VERB
cana-5375	15	4	nonlinear	nonlinear	ADJ
cana-5375	15	5	analysis	analysis	NOUN
cana-5375	15	6	issn	issn	NOUN
cana-5375	15	7	:	:	PUNCT
cana-5375	15	8	1074	1074	NUM
cana-5375	15	9	-	-	PUNCT
cana-5375	15	10	133x	133x	NUM
cana-5375	15	11	vol	vol	NOUN
cana-5375	15	12	31	31	NUM
cana-5375	15	13	no	no	NOUN
cana-5375	15	14	.	.	PUNCT
cana-5375	16	1	2s	2s	NUM
cana-5375	16	2	(	(	PUNCT
cana-5375	16	3	2024	2024	NUM
cana-5375	16	4	)	)	PUNCT
cana-5375	16	5	740	740	NUM
cana-5375	16	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	16	7	these	these	PRON
cana-5375	16	8	are	be	AUX
cana-5375	16	9	applicable	applicable	ADJ
cana-5375	16	10	to	to	ADP
cana-5375	16	11	important	important	ADJ
cana-5375	16	12	domains	domain	NOUN
cana-5375	16	13	of	of	ADP
cana-5375	16	14	application	application	NOUN
cana-5375	16	15	including	include	VERB
cana-5375	16	16	healthcare	healthcare	NOUN
cana-5375	16	17	and	and	CCONJ
cana-5375	16	18	cloud	cloud	PROPN
cana-5375	16	19	security	security	NOUN
cana-5375	16	20	,	,	PUNCT
cana-5375	16	21	where	where	SCONJ
cana-5375	16	22	very	very	ADV
cana-5375	16	23	high	high	ADJ
cana-5375	16	24	assurance	assurance	NOUN
cana-5375	16	25	guarantees	guarantee	NOUN
cana-5375	16	26	are	be	AUX
cana-5375	16	27	required	require	VERB
cana-5375	16	28	.	.	PUNCT
cana-5375	17	1	kishor	kishor	PROPN
cana-5375	17	2	(	(	PUNCT
cana-5375	17	3	2022	2022	NUM
cana-5375	17	4	)	)	PUNCT
cana-5375	17	5	also	also	ADV
cana-5375	17	6	documents	document	VERB
cana-5375	17	7	how	how	SCONJ
cana-5375	17	8	ai	ai	AUX
cana-5375	17	9	has	have	AUX
cana-5375	17	10	evolved	evolve	VERB
cana-5375	17	11	from	from	ADP
cana-5375	17	12	the	the	DET
cana-5375	17	13	rules	rule	NOUN
cana-5375	17	14	that	that	PRON
cana-5375	17	15	are	be	AUX
cana-5375	17	16	symbolically	symbolically	ADV
cana-5375	17	17	created	create	VERB
cana-5375	17	18	to	to	PART
cana-5375	17	19	stochastic	stochastic	ADJ
cana-5375	17	20	deep	deep	ADJ
cana-5375	17	21	learning	learning	NOUN
cana-5375	17	22	to	to	ADP
cana-5375	17	23	a	a	DET
cana-5375	17	24	neurosymbolic	neurosymbolic	ADJ
cana-5375	17	25	fusion	fusion	NOUN
cana-5375	17	26	.	.	PUNCT
cana-5375	18	1	the	the	DET
cana-5375	18	2	paper	paper	NOUN
cana-5375	18	3	demonstrates	demonstrate	VERB
cana-5375	18	4	how	how	SCONJ
cana-5375	18	5	nsai	nsai	ADJ
cana-5375	18	6	models	model	NOUN
cana-5375	18	7	excel	excel	VERB
cana-5375	18	8	when	when	SCONJ
cana-5375	18	9	compared	compare	VERB
cana-5375	18	10	to	to	ADP
cana-5375	18	11	a	a	DET
cana-5375	18	12	standard	standard	ADJ
cana-5375	18	13	deep	deep	ADJ
cana-5375	18	14	learning	learning	NOUN
cana-5375	18	15	in	in	ADP
cana-5375	18	16	terms	term	NOUN
cana-5375	18	17	of	of	ADP
cana-5375	18	18	generalisation	generalisation	NOUN
cana-5375	18	19	even	even	ADV
cana-5375	18	20	with	with	SCONJ
cana-5375	18	21	limited	limited	ADJ
cana-5375	18	22	dataset	dataset	NOUN
cana-5375	18	23	trained	train	VERB
cana-5375	18	24	,	,	PUNCT
cana-5375	18	25	making	make	VERB
cana-5375	18	26	it	it	PRON
cana-5375	18	27	a	a	DET
cana-5375	18	28	promising	promising	ADJ
cana-5375	18	29	approach	approach	NOUN
cana-5375	18	30	for	for	ADP
cana-5375	18	31	resource	resource	NOUN
cana-5375	18	32	constrained	constrain	VERB
cana-5375	18	33	yet	yet	ADV
cana-5375	18	34	safety	safety	NOUN
cana-5375	18	35	critical	critical	ADJ
cana-5375	18	36	application	application	NOUN
cana-5375	18	37	,	,	PUNCT
cana-5375	18	38	such	such	ADJ
cana-5375	18	39	as	as	ADP
cana-5375	18	40	dynamic	dynamic	ADJ
cana-5375	18	41	generation	generation	NOUN
cana-5375	18	42	of	of	ADP
cana-5375	18	43	cloud	cloud	ADJ
cana-5375	18	44	policy	policy	NOUN
cana-5375	18	45	.	.	PUNCT
cana-5375	19	1	fig	fig	NOUN
cana-5375	19	2	.	.	PUNCT
cana-5375	20	1	1	1	NUM
cana-5375	20	2	neuro	neuro	NOUN
cana-5375	20	3	-	-	PUNCT
cana-5375	20	4	symbolic	symbolic	ADJ
cana-5375	20	5	graph	graph	NOUN
cana-5375	20	6	(	(	PUNCT
cana-5375	20	7	allergograph	allergograph	ADJ
cana-5375	20	8	,	,	PUNCT
cana-5375	20	9	2020	2020	NUM
cana-5375	20	10	)	)	PUNCT
cana-5375	20	11	onchis	onchi	VERB
cana-5375	20	12	et	et	NOUN
cana-5375	20	13	al	al	PROPN
cana-5375	20	14	.	.	PROPN
cana-5375	20	15	(	(	PUNCT
cana-5375	20	16	2023	2023	NUM
cana-5375	20	17	)	)	PUNCT
cana-5375	20	18	further	far	ADV
cana-5375	20	19	establish	establish	VERB
cana-5375	20	20	this	this	DET
cana-5375	20	21	story	story	NOUN
cana-5375	20	22	further	far	ADV
cana-5375	20	23	by	by	ADP
cana-5375	20	24	providing	provide	VERB
cana-5375	20	25	trust	trust	NOUN
cana-5375	20	26	deficit	deficit	NOUN
cana-5375	20	27	in	in	ADP
cana-5375	20	28	deep	deep	ADJ
cana-5375	20	29	learning	learning	NOUN
cana-5375	20	30	systems	system	NOUN
cana-5375	20	31	used	use	VERB
cana-5375	20	32	in	in	ADP
cana-5375	20	33	damage	damage	NOUN
cana-5375	20	34	detection	detection	NOUN
cana-5375	20	35	.	.	PUNCT
cana-5375	21	1	the	the	DET
cana-5375	21	2	logic	logic	NOUN
cana-5375	21	3	convolutional	convolutional	ADJ
cana-5375	21	4	neural	neural	ADJ
cana-5375	21	5	regressor	regressor	NOUN
cana-5375	21	6	(	(	PUNCT
cana-5375	21	7	lcnr	lcnr	NOUN
cana-5375	21	8	)	)	PUNCT
cana-5375	21	9	is	be	AUX
cana-5375	21	10	then	then	ADV
cana-5375	21	11	introduced	introduce	VERB
cana-5375	21	12	,	,	PUNCT
cana-5375	21	13	that	that	ADV
cana-5375	21	14	is	is	ADV
cana-5375	21	15	,	,	PUNCT
cana-5375	21	16	a	a	DET
cana-5375	21	17	neural	neural	ADJ
cana-5375	21	18	architecture	architecture	NOUN
cana-5375	21	19	combined	combine	VERB
cana-5375	21	20	with	with	ADP
cana-5375	21	21	logical	logical	ADJ
cana-5375	21	22	constraints	constraint	NOUN
cana-5375	21	23	,	,	PUNCT
cana-5375	21	24	to	to	PART
cana-5375	21	25	enhance	enhance	VERB
cana-5375	21	26	reliability	reliability	NOUN
cana-5375	21	27	and	and	CCONJ
cana-5375	21	28	scalability	scalability	NOUN
cana-5375	21	29	of	of	ADP
cana-5375	21	30	predictive	predictive	ADJ
cana-5375	21	31	systems	system	NOUN
cana-5375	21	32	.	.	PUNCT
cana-5375	22	1	in	in	ADP
cana-5375	22	2	such	such	DET
cana-5375	22	3	a	a	DET
cana-5375	22	4	hybrid	hybrid	ADJ
cana-5375	22	5	architecture	architecture	NOUN
cana-5375	22	6	,	,	PUNCT
cana-5375	22	7	these	these	DET
cana-5375	22	8	deep	deep	ADJ
cana-5375	22	9	learning	learning	NOUN
cana-5375	22	10	constraints	constraint	NOUN
cana-5375	22	11	are	be	AUX
cana-5375	22	12	not	not	PART
cana-5375	22	13	only	only	ADV
cana-5375	22	14	preserved	preserve	VERB
cana-5375	22	15	,	,	PUNCT
cana-5375	22	16	but	but	CCONJ
cana-5375	22	17	rule	rule	NOUN
cana-5375	22	18	-	-	PUNCT
cana-5375	22	19	based	base	VERB
cana-5375	22	20	constraints	constraint	NOUN
cana-5375	22	21	are	be	AUX
cana-5375	22	22	actually	actually	ADV
cana-5375	22	23	embedded	embed	VERB
cana-5375	22	24	to	to	ADP
cana-5375	22	25	further	further	ADJ
cana-5375	22	26	enhace	enhace	NOUN
cana-5375	22	27	transparency	transparency	NOUN
cana-5375	22	28	,	,	PUNCT
cana-5375	22	29	an	an	DET
cana-5375	22	30	essential	essential	ADJ
cana-5375	22	31	property	property	NOUN
cana-5375	22	32	for	for	ADP
cana-5375	22	33	cloud	cloud	NOUN
cana-5375	22	34	governance	governance	NOUN
cana-5375	22	35	,	,	PUNCT
cana-5375	22	36	where	where	SCONJ
cana-5375	22	37	access	access	NOUN
cana-5375	22	38	policy	policy	NOUN
cana-5375	22	39	must	must	AUX
cana-5375	22	40	be	be	AUX
cana-5375	22	41	justified	justify	VERB
cana-5375	22	42	in	in	ADP
cana-5375	22	43	real	real	ADJ
cana-5375	22	44	time	time	NOUN
cana-5375	22	45	in	in	ADP
cana-5375	22	46	live	live	ADJ
cana-5375	22	47	audit	audit	NOUN
cana-5375	22	48	conditions	condition	NOUN
cana-5375	22	49	.	.	PUNCT
cana-5375	23	1	communications	communication	NOUN
cana-5375	23	2	on	on	ADP
cana-5375	23	3	applied	apply	VERB
cana-5375	23	4	nonlinear	nonlinear	ADJ
cana-5375	23	5	analysis	analysis	NOUN
cana-5375	23	6	issn	issn	NOUN
cana-5375	23	7	:	:	PUNCT
cana-5375	23	8	1074	1074	NUM
cana-5375	23	9	-	-	PUNCT
cana-5375	23	10	133x	133x	NUM
cana-5375	23	11	vol	vol	NOUN
cana-5375	23	12	31	31	NUM
cana-5375	23	13	no	no	NOUN
cana-5375	23	14	.	.	PUNCT
cana-5375	24	1	2s	2s	NUM
cana-5375	24	2	(	(	PUNCT
cana-5375	24	3	2024	2024	NUM
cana-5375	24	4	)	)	PUNCT
cana-5375	24	5	741	741	NUM
cana-5375	24	6	https://internationalpubls.com	https://internationalpubls.com	SYM
cana-5375	24	7	2.2	2.2	NUM
cana-5375	24	8	applications	application	NOUN
cana-5375	24	9	in	in	ADP
cana-5375	24	10	critical	critical	ADJ
cana-5375	24	11	sectors	sector	NOUN
cana-5375	24	12	the	the	DET
cana-5375	24	13	experimental	experimental	ADJ
cana-5375	24	14	use	use	NOUN
cana-5375	24	15	of	of	ADP
cana-5375	24	16	nsai	nsai	ADJ
cana-5375	24	17	has	have	AUX
cana-5375	24	18	been	be	AUX
cana-5375	24	19	applied	apply	VERB
cana-5375	24	20	to	to	ADP
cana-5375	24	21	other	other	ADJ
cana-5375	24	22	sectors	sector	NOUN
cana-5375	24	23	where	where	SCONJ
cana-5375	24	24	there	there	PRON
cana-5375	24	25	are	be	VERB
cana-5375	24	26	new	new	ADJ
cana-5375	24	27	strengths	strength	NOUN
cana-5375	24	28	to	to	PART
cana-5375	24	29	be	be	AUX
cana-5375	24	30	discovered	discover	VERB
cana-5375	24	31	,	,	PUNCT
cana-5375	24	32	which	which	PRON
cana-5375	24	33	inform	inform	VERB
cana-5375	24	34	its	its	PRON
cana-5375	24	35	utility	utility	NOUN
cana-5375	24	36	in	in	ADP
cana-5375	24	37	cloud	cloud	ADJ
cana-5375	24	38	security	security	NOUN
cana-5375	24	39	.	.	PUNCT
cana-5375	25	1	however	however	ADV
cana-5375	25	2	,	,	PUNCT
cana-5375	25	3	anderson	anderson	PROPN
cana-5375	25	4	(	(	PUNCT
cana-5375	25	5	2022	2022	NUM
cana-5375	25	6	)	)	PUNCT
cana-5375	25	7	explains	explain	VERB
cana-5375	25	8	how	how	SCONJ
cana-5375	25	9	in	in	ADP
cana-5375	25	10	fraud	fraud	NOUN
cana-5375	25	11	detection	detection	NOUN
cana-5375	25	12	,	,	PUNCT
cana-5375	25	13	neurosymbolic	neurosymbolic	ADJ
cana-5375	25	14	systems	system	NOUN
cana-5375	25	15	,	,	PUNCT
cana-5375	25	16	where	where	SCONJ
cana-5375	25	17	pattern	pattern	NOUN
cana-5375	25	18	recognition	recognition	NOUN
cana-5375	25	19	can	can	AUX
cana-5375	25	20	be	be	AUX
cana-5375	25	21	conducted	conduct	VERB
cana-5375	25	22	at	at	ADP
cana-5375	25	23	a	a	DET
cana-5375	25	24	fast	fast	ADJ
cana-5375	25	25	rate	rate	NOUN
cana-5375	25	26	along	along	ADP
cana-5375	25	27	with	with	ADP
cana-5375	25	28	symbolic	symbolic	ADJ
cana-5375	25	29	reasoning	reasoning	NOUN
cana-5375	25	30	delivers	deliver	VERB
cana-5375	25	31	advantages	advantage	NOUN
cana-5375	25	32	in	in	ADP
cana-5375	25	33	making	make	VERB
cana-5375	25	34	better	well	ADJ
cana-5375	25	35	decisions	decision	NOUN
cana-5375	25	36	with	with	ADP
cana-5375	25	37	less	less	ADV
cana-5375	25	38	false	false	ADJ
cana-5375	25	39	positives	positive	NOUN
cana-5375	25	40	.	.	PUNCT
cana-5375	26	1	like	like	ADP
cana-5375	26	2	the	the	DET
cana-5375	26	3	cloud	cloud	NOUN
cana-5375	26	4	security	security	NOUN
cana-5375	26	5	,	,	PUNCT
cana-5375	26	6	fraud	fraud	NOUN
cana-5375	26	7	detection	detection	NOUN
cana-5375	26	8	has	have	VERB
cana-5375	26	9	serious	serious	ADJ
cana-5375	26	10	problems	problem	NOUN
cana-5375	26	11	to	to	PART
cana-5375	26	12	tackle	tackle	VERB
cana-5375	26	13	—	—	PUNCT
cana-5375	26	14	both	both	CCONJ
cana-5375	26	15	the	the	DET
cana-5375	26	16	operational	operational	ADJ
cana-5375	26	17	problems	problem	NOUN
cana-5375	26	18	are	be	AUX
cana-5375	26	19	the	the	DET
cana-5375	26	20	high	high	ADJ
cana-5375	26	21	dimensional	dimensional	ADJ
cana-5375	26	22	and	and	CCONJ
cana-5375	26	23	fast	fast	ADV
cana-5375	26	24	changing	change	VERB
cana-5375	26	25	data	datum	NOUN
cana-5375	26	26	systems	system	NOUN
cana-5375	26	27	needing	need	VERB
cana-5375	26	28	adaptive	adaptive	ADV
cana-5375	26	29	but	but	CCONJ
cana-5375	26	30	explaining	explain	VERB
cana-5375	26	31	responses	response	NOUN
cana-5375	26	32	.	.	PUNCT
cana-5375	27	1	anderson	anderson	PROPN
cana-5375	27	2	’s	’s	PART
cana-5375	27	3	findings	finding	NOUN
cana-5375	27	4	are	be	AUX
cana-5375	27	5	consistent	consistent	ADJ
cana-5375	27	6	with	with	ADP
cana-5375	27	7	the	the	DET
cana-5375	27	8	notion	notion	NOUN
cana-5375	27	9	that	that	SCONJ
cana-5375	27	10	neurosymbolic	neurosymbolic	ADJ
cana-5375	27	11	approaches	approach	NOUN
cana-5375	27	12	can	can	AUX
cana-5375	27	13	offer	offer	VERB
cana-5375	27	14	the	the	DET
cana-5375	27	15	compromise	compromise	NOUN
cana-5375	27	16	between	between	ADP
cana-5375	27	17	accuracy	accuracy	NOUN
cana-5375	27	18	and	and	CCONJ
cana-5375	27	19	interpretability	interpretability	NOUN
cana-5375	27	20	for	for	ADP
cana-5375	27	21	generating	generate	VERB
cana-5375	27	22	secure	secure	ADJ
cana-5375	27	23	,	,	PUNCT
cana-5375	27	24	compliant	compliant	ADJ
cana-5375	27	25	cloud	cloud	NOUN
cana-5375	27	26	policies	policy	NOUN
cana-5375	27	27	in	in	ADP
cana-5375	27	28	the	the	DET
cana-5375	27	29	hybrid	hybrid	ADJ
cana-5375	27	30	architecture	architecture	NOUN
cana-5375	27	31	setting	setting	NOUN
cana-5375	27	32	.	.	PUNCT
cana-5375	28	1	abdullah	abdullah	PROPN
cana-5375	28	2	et	et	PROPN
cana-5375	28	3	al	al	PROPN
cana-5375	28	4	.	.	PROPN
cana-5375	29	1	(	(	PUNCT
cana-5375	29	2	2023	2023	NUM
cana-5375	29	3	)	)	PUNCT
cana-5375	29	4	also	also	ADV
cana-5375	29	5	proposed	propose	VERB
cana-5375	29	6	a	a	DET
cana-5375	29	7	deepinfusion	deepinfusion	NOUN
cana-5375	29	8	model	model	NOUN
cana-5375	29	9	a	a	DET
cana-5375	29	10	novel	novel	ADJ
cana-5375	29	11	nsai	nsai	ADJ
cana-5375	29	12	approach	approach	NOUN
cana-5375	29	13	for	for	ADP
cana-5375	29	14	cerebral	cerebral	ADJ
cana-5375	29	15	aneurysm	aneurysm	NOUN
cana-5375	29	16	detection	detection	NOUN
cana-5375	29	17	.	.	PUNCT
cana-5375	30	1	combining	combine	VERB
cana-5375	30	2	the	the	DET
cana-5375	30	3	deep	deep	ADJ
cana-5375	30	4	learning	learning	NOUN
cana-5375	30	5	with	with	ADP
cana-5375	30	6	expert	expert	NOUN
cana-5375	30	7	curated	curate	VERB
cana-5375	30	8	,	,	PUNCT
cana-5375	30	9	hand	hand	NOUN
cana-5375	30	10	crafted	craft	VERB
cana-5375	30	11	features	feature	NOUN
cana-5375	30	12	help	help	VERB
cana-5375	30	13	make	make	VERB
cana-5375	30	14	the	the	DET
cana-5375	30	15	model	model	NOUN
cana-5375	30	16	clinical	clinical	ADJ
cana-5375	30	17	interpretable	interpretable	ADJ
cana-5375	30	18	,	,	PUNCT
cana-5375	30	19	and	and	CCONJ
cana-5375	30	20	robust	robust	ADJ
cana-5375	30	21	.	.	PUNCT
cana-5375	31	1	specifically	specifically	ADV
cana-5375	31	2	,	,	PUNCT
cana-5375	31	3	the	the	DET
cana-5375	31	4	deepinfusion	deepinfusion	NOUN
cana-5375	31	5	model	model	NOUN
cana-5375	31	6	effected	effect	VERB
cana-5375	31	7	great	great	ADJ
cana-5375	31	8	performance	performance	NOUN
cana-5375	31	9	on	on	ADP
cana-5375	31	10	several	several	ADJ
cana-5375	31	11	datasets	dataset	NOUN
cana-5375	31	12	,	,	PUNCT
cana-5375	31	13	which	which	PRON
cana-5375	31	14	suggests	suggest	VERB
cana-5375	31	15	how	how	SCONJ
cana-5375	31	16	symbolic	symbolic	ADJ
cana-5375	31	17	domain	domain	NOUN
cana-5375	31	18	expertise	expertise	NOUN
cana-5375	31	19	can	can	AUX
cana-5375	31	20	be	be	AUX
cana-5375	31	21	merge	merge	VERB
cana-5375	31	22	into	into	ADP
cana-5375	31	23	neural	neural	ADJ
cana-5375	31	24	networks	network	NOUN
cana-5375	31	25	to	to	PART
cana-5375	31	26	create	create	VERB
cana-5375	31	27	flexible	flexible	ADJ
cana-5375	31	28	and	and	CCONJ
cana-5375	31	29	reliable	reliable	ADJ
cana-5375	31	30	ai	ai	NOUN
cana-5375	31	31	.	.	PUNCT
cana-5375	32	1	just	just	ADV
cana-5375	32	2	like	like	ADP
cana-5375	32	3	cloud	cloud	NOUN
cana-5375	32	4	governance	governance	NOUN
cana-5375	32	5	,	,	PUNCT
cana-5375	32	6	this	this	PRON
cana-5375	32	7	is	be	AUX
cana-5375	32	8	a	a	DET
cana-5375	32	9	technique	technique	NOUN
cana-5375	32	10	whereby	whereby	SCONJ
cana-5375	32	11	domain	domain	NOUN
cana-5375	32	12	knowledge	knowledge	NOUN
cana-5375	32	13	encapsulated	encapsulate	VERB
cana-5375	32	14	in	in	ADP
cana-5375	32	15	the	the	DET
cana-5375	32	16	domain	domain	NOUN
cana-5375	32	17	(	(	PUNCT
cana-5375	32	18	e.g.	e.g.	ADV
cana-5375	32	19	access	access	NOUN
cana-5375	32	20	control	control	NOUN
cana-5375	32	21	laws	law	NOUN
cana-5375	32	22	,	,	PUNCT
cana-5375	32	23	compliance	compliance	NOUN
cana-5375	32	24	rules	rule	NOUN
cana-5375	32	25	)	)	PUNCT
cana-5375	32	26	can	can	AUX
cana-5375	32	27	be	be	AUX
cana-5375	32	28	used	use	VERB
cana-5375	32	29	to	to	PART
cana-5375	32	30	educate	educate	VERB
cana-5375	32	31	the	the	DET
cana-5375	32	32	neural	neural	ADJ
cana-5375	32	33	model	model	NOUN
cana-5375	32	34	to	to	PART
cana-5375	32	35	generate	generate	VERB
cana-5375	32	36	policyspecific	policyspecific	NOUN
cana-5375	32	37	,	,	PUNCT
cana-5375	32	38	context	context	NOUN
cana-5375	32	39	aware	aware	ADJ
cana-5375	32	40	outcome	outcome	NOUN
cana-5375	32	41	.	.	PUNCT
cana-5375	33	1	mishra	mishra	PROPN
cana-5375	33	2	and	and	CCONJ
cana-5375	33	3	jatti	jatti	PROPN
cana-5375	33	4	(	(	PUNCT
cana-5375	33	5	2023	2023	NUM
cana-5375	33	6	)	)	PUNCT
cana-5375	33	7	pioneered	pioneer	VERB
cana-5375	33	8	another	another	DET
cana-5375	33	9	application	application	NOUN
cana-5375	33	10	of	of	ADP
cana-5375	33	11	nsai	nsai	ADJ
cana-5375	33	12	,	,	PUNCT
cana-5375	33	13	using	use	VERB
cana-5375	33	14	it	it	PRON
cana-5375	33	15	to	to	PART
cana-5375	33	16	predict	predict	VERB
cana-5375	33	17	strength	strength	NOUN
cana-5375	33	18	of	of	ADP
cana-5375	33	19	3d	3d	NUM
cana-5375	33	20	printed	print	VERB
cana-5375	33	21	materials	material	NOUN
cana-5375	33	22	for	for	ADP
cana-5375	33	23	the	the	DET
cana-5375	33	24	very	very	ADV
cana-5375	33	25	first	first	ADJ
cana-5375	33	26	time	time	NOUN
cana-5375	33	27	.	.	PUNCT
cana-5375	34	1	the	the	DET
cana-5375	34	2	results	result	NOUN
cana-5375	34	3	obtained	obtain	VERB
cana-5375	34	4	by	by	ADP
cana-5375	34	5	their	their	PRON
cana-5375	34	6	hybrid	hybrid	ADJ
cana-5375	34	7	model	model	NOUN
cana-5375	34	8	constituted	constitute	VERB
cana-5375	34	9	of	of	ADP
cana-5375	34	10	the	the	DET
cana-5375	34	11	integration	integration	NOUN
cana-5375	34	12	of	of	ADP
cana-5375	34	13	deep	deep	ADJ
cana-5375	34	14	neural	neural	ADJ
cana-5375	34	15	networks	network	NOUN
cana-5375	34	16	and	and	CCONJ
cana-5375	34	17	decision	decision	NOUN
cana-5375	34	18	tree	tree	NOUN
cana-5375	34	19	function	function	NOUN
cana-5375	34	20	based	base	VERB
cana-5375	34	21	symbolic	symbolic	ADJ
cana-5375	34	22	logic	logic	NOUN
cana-5375	34	23	,	,	PUNCT
cana-5375	34	24	performed	perform	VERB
cana-5375	34	25	better	well	ADV
cana-5375	34	26	than	than	ADP
cana-5375	34	27	some	some	PRON
cana-5375	34	28	of	of	ADP
cana-5375	34	29	the	the	DET
cana-5375	34	30	conventional	conventional	ADJ
cana-5375	34	31	ann	ann	PROPN
cana-5375	34	32	architectures	architecture	NOUN
cana-5375	34	33	in	in	ADP
cana-5375	34	34	terms	term	NOUN
cana-5375	34	35	of	of	ADP
cana-5375	34	36	mean	mean	ADJ
cana-5375	34	37	squared	square	VERB
cana-5375	34	38	error	error	NOUN
cana-5375	34	39	and	and	CCONJ
cana-5375	34	40	r	r	NOUN
cana-5375	34	41	squared	square	VERB
cana-5375	34	42	values	value	NOUN
cana-5375	34	43	.	.	PUNCT
cana-5375	35	1	such	such	ADJ
cana-5375	35	2	superiority	superiority	NOUN
cana-5375	35	3	emphasizes	emphasize	VERB
cana-5375	35	4	the	the	DET
cana-5375	35	5	possibility	possibility	NOUN
cana-5375	35	6	of	of	ADP
cana-5375	35	7	learning	learn	VERB
cana-5375	35	8	from	from	ADP
cana-5375	35	9	synthetic	synthetic	ADJ
cana-5375	35	10	data	datum	NOUN
cana-5375	35	11	underlying	underlie	VERB
cana-5375	35	12	the	the	DET
cana-5375	35	13	necessity	necessity	NOUN
cana-5375	35	14	to	to	PART
cana-5375	35	15	learn	learn	VERB
cana-5375	35	16	from	from	ADP
cana-5375	35	17	logs	log	NOUN
cana-5375	35	18	,	,	PUNCT
cana-5375	35	19	access	access	NOUN
cana-5375	35	20	records	record	NOUN
cana-5375	35	21	,	,	PUNCT
cana-5375	35	22	threat	threat	NOUN
cana-5375	35	23	simulations	simulation	NOUN
cana-5375	35	24	in	in	ADP
cana-5375	35	25	order	order	NOUN
cana-5375	35	26	to	to	PART
cana-5375	35	27	generate	generate	VERB
cana-5375	35	28	proactive	proactive	ADJ
cana-5375	35	29	policies	policy	NOUN
cana-5375	35	30	capable	capable	ADJ
cana-5375	35	31	of	of	ADP
cana-5375	35	32	responding	respond	VERB
cana-5375	35	33	to	to	ADP
cana-5375	35	34	their	their	PRON
cana-5375	35	35	risks	risk	NOUN
cana-5375	35	36	that	that	PRON
cana-5375	35	37	arise	arise	VERB
cana-5375	35	38	.	.	PUNCT
cana-5375	36	1	voogd	voogd	NOUN
cana-5375	36	2	et	et	PROPN
cana-5375	36	3	al	al	PROPN
cana-5375	36	4	.	.	PROPN
cana-5375	37	1	(	(	PUNCT
cana-5375	37	2	2018	2018	NUM
cana-5375	37	3	)	)	PUNCT
cana-5375	37	4	also	also	ADV
cana-5375	37	5	proved	prove	VERB
cana-5375	37	6	that	that	SCONJ
cana-5375	37	7	nsai	nsai	ADJ
cana-5375	37	8	is	be	AUX
cana-5375	37	9	relevant	relevant	ADJ
cana-5375	37	10	for	for	ADP
cana-5375	37	11	military	military	ADJ
cana-5375	37	12	operations	operation	NOUN
cana-5375	37	13	,	,	PUNCT
cana-5375	37	14	where	where	SCONJ
cana-5375	37	15	sensor	sensor	NOUN
cana-5375	37	16	data	data	NOUN
cana-5375	37	17	is	be	AUX
cana-5375	37	18	merged	merge	VERB
cana-5375	37	19	with	with	ADP
cana-5375	37	20	symbolic	symbolic	ADJ
cana-5375	37	21	knowledge	knowledge	NOUN
cana-5375	37	22	of	of	ADP
cana-5375	37	23	military	military	ADJ
cana-5375	37	24	experts	expert	NOUN
cana-5375	37	25	in	in	ADP
cana-5375	37	26	real	real	ADJ
cana-5375	37	27	time	time	NOUN
cana-5375	37	28	for	for	ADP
cana-5375	37	29	a	a	DET
cana-5375	37	30	terrain	terrain	NOUN
cana-5375	37	31	analysis	analysis	NOUN
cana-5375	37	32	.	.	PUNCT
cana-5375	38	1	this	this	PRON
cana-5375	38	2	is	be	AUX
cana-5375	38	3	exactly	exactly	ADV
cana-5375	38	4	what	what	PRON
cana-5375	38	5	is	be	AUX
cana-5375	38	6	required	require	VERB
cana-5375	38	7	in	in	ADP
cana-5375	38	8	hybrid	hybrid	ADJ
cana-5375	38	9	cloud	cloud	NOUN
cana-5375	38	10	security	security	NOUN
cana-5375	38	11	,	,	PUNCT
cana-5375	38	12	namely	namely	ADV
cana-5375	38	13	,	,	PUNCT
cana-5375	38	14	to	to	PART
cana-5375	38	15	integrate	integrate	VERB
cana-5375	38	16	telemetry	telemetry	NOUN
cana-5375	38	17	data	datum	NOUN
cana-5375	38	18	with	with	ADP
cana-5375	38	19	security	security	NOUN
cana-5375	38	20	guidelines	guideline	NOUN
cana-5375	38	21	and	and	CCONJ
cana-5375	38	22	operational	operational	ADJ
cana-5375	38	23	policies	policy	NOUN
cana-5375	38	24	in	in	ADP
cana-5375	38	25	a	a	DET
cana-5375	38	26	way	way	NOUN
cana-5375	38	27	that	that	PRON
cana-5375	38	28	is	be	AUX
cana-5375	38	29	context	context	NOUN
cana-5375	38	30	aware	aware	ADJ
cana-5375	38	31	.	.	PUNCT
cana-5375	39	1	this	this	PRON
cana-5375	39	2	is	be	AUX
cana-5375	39	3	an	an	DET
cana-5375	39	4	approach	approach	NOUN
cana-5375	39	5	to	to	PART
cana-5375	39	6	show	show	VERB
cana-5375	39	7	how	how	SCONJ
cana-5375	39	8	simulations	simulation	NOUN
cana-5375	39	9	fed	feed	VERB
cana-5375	39	10	by	by	ADP
cana-5375	39	11	neurosymbolic	neurosymbolic	ADJ
cana-5375	39	12	ai	ai	PROPN
cana-5375	39	13	are	be	AUX
cana-5375	39	14	capable	capable	ADJ
cana-5375	39	15	of	of	ADP
cana-5375	39	16	rationalizing	rationalize	VERB
cana-5375	39	17	unknown	unknown	ADJ
cana-5375	39	18	unknowns	unknown	NOUN
cana-5375	39	19	and	and	CCONJ
cana-5375	39	20	other	other	ADJ
cana-5375	39	21	uncertainties	uncertainty	NOUN
cana-5375	39	22	of	of	ADP
cana-5375	39	23	uncertain	uncertain	ADJ
cana-5375	39	24	or	or	CCONJ
cana-5375	39	25	partially	partially	ADV
cana-5375	39	26	observed	observe	VERB
cana-5375	39	27	environments	environment	NOUN
cana-5375	39	28	,	,	PUNCT
cana-5375	39	29	which	which	PRON
cana-5375	39	30	is	be	AUX
cana-5375	39	31	highly	highly	ADV
cana-5375	39	32	important	important	ADJ
cana-5375	39	33	for	for	SCONJ
cana-5375	39	34	the	the	DET
cana-5375	39	35	adaptation	adaptation	NOUN
cana-5375	39	36	systems	system	NOUN
cana-5375	39	37	in	in	ADP
cana-5375	39	38	cloud	cloud	ADJ
cana-5375	39	39	governance	governance	NOUN
cana-5375	39	40	as	as	ADP
cana-5375	39	41	the	the	DET
cana-5375	39	42	unknown	unknown	ADJ
cana-5375	39	43	unknowns	unknown	NOUN
cana-5375	39	44	are	be	AUX
cana-5375	39	45	usually	usually	ADV
cana-5375	39	46	present	present	ADJ
cana-5375	39	47	.	.	PUNCT
cana-5375	40	1	2.3	2.3	NUM
cana-5375	40	2	real	real	ADJ
cana-5375	40	3	-	-	PUNCT
cana-5375	40	4	time	time	NOUN
cana-5375	40	5	intelligence	intelligence	NOUN
cana-5375	40	6	policy	policy	NOUN
cana-5375	40	7	frameworks	framework	NOUN
cana-5375	40	8	that	that	PRON
cana-5375	40	9	are	be	AUX
cana-5375	40	10	both	both	PRON
cana-5375	40	11	self	self	NOUN
cana-5375	40	12	-	-	PUNCT
cana-5375	40	13	adaptive	adaptive	ADJ
cana-5375	40	14	and	and	CCONJ
cana-5375	40	15	trustworthy	trustworthy	ADJ
cana-5375	40	16	are	be	AUX
cana-5375	40	17	required	require	VERB
cana-5375	40	18	to	to	PART
cana-5375	40	19	cope	cope	VERB
cana-5375	40	20	with	with	ADP
cana-5375	40	21	challenge	challenge	NOUN
cana-5375	40	22	of	of	ADP
cana-5375	40	23	managing	manage	VERB
cana-5375	40	24	real	real	ADJ
cana-5375	40	25	time	time	NOUN
cana-5375	40	26	operations	operation	NOUN
cana-5375	40	27	within	within	ADP
cana-5375	40	28	the	the	DET
cana-5375	40	29	cloud	cloud	ADJ
cana-5375	40	30	domain	domain	NOUN
cana-5375	40	31	under	under	ADP
cana-5375	40	32	fault	fault	NOUN
cana-5375	40	33	or	or	CCONJ
cana-5375	40	34	attack	attack	NOUN
cana-5375	40	35	condition	condition	NOUN
cana-5375	40	36	.	.	PUNCT
cana-5375	41	1	in	in	ADP
cana-5375	41	2	vankayalapati	vankayalapati	NOUN
cana-5375	41	3	and	and	CCONJ
cana-5375	41	4	pandugula	pandugula	NOUN
cana-5375	41	5	(	(	PUNCT
cana-5375	41	6	2022	2022	NUM
cana-5375	41	7	)	)	PUNCT
cana-5375	41	8	,	,	PUNCT
cana-5375	41	9	those	those	DET
cana-5375	41	10	researchers	researcher	NOUN
cana-5375	41	11	are	be	AUX
cana-5375	41	12	concerned	concern	VERB
cana-5375	41	13	with	with	ADP
cana-5375	41	14	self	self	NOUN
cana-5375	41	15	-	-	PUNCT
cana-5375	41	16	heeling	heel	VERB
cana-5375	41	17	infrastructures	infrastructure	NOUN
cana-5375	41	18	communications	communication	NOUN
cana-5375	41	19	on	on	ADP
cana-5375	41	20	applied	apply	VERB
cana-5375	41	21	nonlinear	nonlinear	ADJ
cana-5375	41	22	analysis	analysis	NOUN
cana-5375	41	23	issn	issn	NOUN
cana-5375	41	24	:	:	PUNCT
cana-5375	41	25	1074	1074	NUM
cana-5375	41	26	-	-	PUNCT
cana-5375	41	27	133x	133x	NUM
cana-5375	41	28	vol	vol	NOUN
cana-5375	41	29	31	31	NUM
cana-5375	41	30	no	no	NOUN
cana-5375	41	31	.	.	PUNCT
cana-5375	42	1	2s	2s	NUM
cana-5375	42	2	(	(	PUNCT
cana-5375	42	3	2024	2024	NUM
cana-5375	42	4	)	)	PUNCT
cana-5375	42	5	742	742	NUM
cana-5375	42	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	42	7	powered	power	VERB
cana-5375	42	8	by	by	ADP
cana-5375	42	9	ai	ai	VERB
cana-5375	42	10	to	to	PART
cana-5375	42	11	autonomously	autonomously	ADV
cana-5375	42	12	recover	recover	VERB
cana-5375	42	13	from	from	ADP
cana-5375	42	14	runtime	runtime	NOUN
cana-5375	42	15	failures	failure	NOUN
cana-5375	42	16	relying	rely	VERB
cana-5375	42	17	on	on	ADP
cana-5375	42	18	deep	deep	ADJ
cana-5375	42	19	reinforcement	reinforcement	NOUN
cana-5375	42	20	learning	learning	NOUN
cana-5375	42	21	and	and	CCONJ
cana-5375	42	22	reasoning	reasoning	NOUN
cana-5375	42	23	means	mean	NOUN
cana-5375	42	24	.	.	PUNCT
cana-5375	43	1	while	while	SCONJ
cana-5375	43	2	they	they	PRON
cana-5375	43	3	do	do	AUX
cana-5375	43	4	not	not	PART
cana-5375	43	5	identify	identify	VERB
cana-5375	43	6	the	the	DET
cana-5375	43	7	lack	lack	NOUN
cana-5375	43	8	of	of	ADP
cana-5375	43	9	fully	fully	ADV
cana-5375	43	10	developed	develop	VERB
cana-5375	43	11	real	real	ADJ
cana-5375	43	12	-	-	PUNCT
cana-5375	43	13	time	time	NOUN
cana-5375	43	14	recovery	recovery	NOUN
cana-5375	43	15	frameworks	framework	NOUN
cana-5375	43	16	.	.	PUNCT
cana-5375	44	1	then	then	ADV
cana-5375	44	2	,	,	PUNCT
cana-5375	44	3	in	in	ADP
cana-5375	44	4	order	order	NOUN
cana-5375	44	5	to	to	PART
cana-5375	44	6	fill	fill	VERB
cana-5375	44	7	this	this	DET
cana-5375	44	8	gap	gap	NOUN
cana-5375	44	9	,	,	PUNCT
cana-5375	44	10	nsai	nsai	ADJ
cana-5375	44	11	advocates	advocate	NOUN
cana-5375	44	12	for	for	ADP
cana-5375	44	13	explainable	explainable	ADJ
cana-5375	44	14	fault	fault	NOUN
cana-5375	44	15	recovery	recovery	NOUN
cana-5375	44	16	models	model	NOUN
cana-5375	44	17	that	that	PRON
cana-5375	44	18	are	be	AUX
cana-5375	44	19	learned	learn	VERB
cana-5375	44	20	in	in	ADP
cana-5375	44	21	time	time	NOUN
cana-5375	44	22	,	,	PUNCT
cana-5375	44	23	while	while	SCONJ
cana-5375	44	24	at	at	ADP
cana-5375	44	25	the	the	DET
cana-5375	44	26	same	same	ADJ
cana-5375	44	27	time	time	NOUN
cana-5375	44	28	remaining	remain	VERB
cana-5375	44	29	under	under	ADP
cana-5375	44	30	the	the	DET
cana-5375	44	31	symbolic	symbolic	ADJ
cana-5375	44	32	governance	governance	NOUN
cana-5375	44	33	rules	rule	NOUN
cana-5375	44	34	,	,	PUNCT
cana-5375	44	35	which	which	PRON
cana-5375	44	36	are	be	AUX
cana-5375	44	37	compliant	compliant	ADJ
cana-5375	44	38	and	and	CCONJ
cana-5375	44	39	stable	stable	ADJ
cana-5375	44	40	.	.	PUNCT
cana-5375	45	1	fig	fig	NOUN
cana-5375	45	2	.	.	PUNCT
cana-5375	46	1	2	2	NUM
cana-5375	46	2	neuro	neuro	NOUN
cana-5375	46	3	-	-	PUNCT
cana-5375	46	4	symbolic	symbolic	ADJ
cana-5375	46	5	and	and	CCONJ
cana-5375	46	6	explainable	explainable	ADJ
cana-5375	46	7	ai	ai	NOUN
cana-5375	46	8	(	(	PUNCT
cana-5375	46	9	springerlink	springerlink	NOUN
cana-5375	46	10	,	,	PUNCT
cana-5375	46	11	2020	2020	NUM
cana-5375	46	12	)	)	PUNCT
cana-5375	46	13	in	in	ADP
cana-5375	46	14	gollapalli	gollapalli	NOUN
cana-5375	46	15	(	(	PUNCT
cana-5375	46	16	2021	2021	NUM
cana-5375	46	17	)	)	PUNCT
cana-5375	46	18	,	,	PUNCT
cana-5375	46	19	one	one	NUM
cana-5375	46	20	of	of	ADP
cana-5375	46	21	the	the	DET
cana-5375	46	22	areas	area	NOUN
cana-5375	46	23	explored	explore	VERB
cana-5375	46	24	is	be	AUX
cana-5375	46	25	the	the	DET
cana-5375	46	26	usage	usage	NOUN
cana-5375	46	27	of	of	ADP
cana-5375	46	28	hybrid	hybrid	NOUN
cana-5375	46	29	ai	ai	VERB
cana-5375	46	30	in	in	ADP
cana-5375	46	31	critical	critical	ADJ
cana-5375	46	32	real	real	ADJ
cana-5375	46	33	time	time	NOUN
cana-5375	46	34	environments	environment	NOUN
cana-5375	46	35	,	,	PUNCT
cana-5375	46	36	where	where	SCONJ
cana-5375	46	37	the	the	DET
cana-5375	46	38	fog	fog	NOUN
cana-5375	46	39	-	-	PUNCT
cana-5375	46	40	cloud	cloud	NOUN
cana-5375	46	41	ai	ai	NOUN
cana-5375	46	42	architecture	architecture	NOUN
cana-5375	46	43	is	be	AUX
cana-5375	46	44	used	use	VERB
cana-5375	46	45	to	to	PART
cana-5375	46	46	study	study	VERB
cana-5375	46	47	ecg	ecg	PROPN
cana-5375	46	48	signals	signal	NOUN
cana-5375	46	49	.	.	PUNCT
cana-5375	47	1	complex	complex	ADJ
cana-5375	47	2	analysis	analysis	NOUN
cana-5375	47	3	is	be	AUX
cana-5375	47	4	delegated	delegate	VERB
cana-5375	47	5	to	to	ADP
cana-5375	47	6	cloud	cloud	NOUN
cana-5375	47	7	while	while	SCONJ
cana-5375	47	8	the	the	DET
cana-5375	47	9	fog	fog	NOUN
cana-5375	47	10	nodes	node	NOUN
cana-5375	47	11	process	process	NOUN
cana-5375	47	12	;	;	PUNCT
cana-5375	47	13	thus	thus	ADV
cana-5375	47	14	,	,	PUNCT
cana-5375	47	15	the	the	DET
cana-5375	47	16	monitoring	monitoring	NOUN
cana-5375	47	17	is	be	AUX
cana-5375	47	18	low	low	ADJ
cana-5375	47	19	-	-	PUNCT
cana-5375	47	20	latency	latency	NOUN
cana-5375	47	21	with	with	ADP
cana-5375	47	22	scalability	scalability	NOUN
cana-5375	47	23	.	.	PUNCT
cana-5375	48	1	architectural	architectural	ADJ
cana-5375	48	2	principles	principle	NOUN
cana-5375	48	3	in	in	ADP
cana-5375	48	4	such	such	DET
cana-5375	48	5	a	a	DET
cana-5375	48	6	form	form	NOUN
cana-5375	48	7	could	could	AUX
cana-5375	48	8	be	be	AUX
cana-5375	48	9	translated	translate	VERB
cana-5375	48	10	to	to	ADP
cana-5375	48	11	cloud	cloud	NOUN
cana-5375	48	12	security	security	NOUN
cana-5375	48	13	where	where	SCONJ
cana-5375	48	14	the	the	DET
cana-5375	48	15	edge	edge	NOUN
cana-5375	48	16	nodes	node	NOUN
cana-5375	48	17	detect	detect	VERB
cana-5375	48	18	the	the	DET
cana-5375	48	19	anomalies	anomaly	NOUN
cana-5375	48	20	and	and	CCONJ
cana-5375	48	21	the	the	DET
cana-5375	48	22	cloud	cloud	NOUN
cana-5375	48	23	nodes	node	NOUN
cana-5375	48	24	enforce	enforce	VERB
cana-5375	48	25	or	or	CCONJ
cana-5375	48	26	adapt	adapt	VERB
cana-5375	48	27	the	the	DET
cana-5375	48	28	access	access	NOUN
cana-5375	48	29	control	control	NOUN
cana-5375	48	30	policies	policy	NOUN
cana-5375	48	31	both	both	PRON
cana-5375	48	32	.	.	PUNCT
cana-5375	49	1	combining	combine	VERB
cana-5375	49	2	low	low	ADJ
cana-5375	49	3	latency	latency	NOUN
cana-5375	49	4	detection	detection	NOUN
cana-5375	49	5	with	with	ADP
cana-5375	49	6	central	central	ADJ
cana-5375	49	7	provision	provision	NOUN
cana-5375	49	8	of	of	ADP
cana-5375	49	9	reasoning	reasoning	NOUN
cana-5375	49	10	leads	lead	VERB
cana-5375	49	11	to	to	ADP
cana-5375	49	12	compliance	compliance	NOUN
cana-5375	49	13	and	and	CCONJ
cana-5375	49	14	responsiveness	responsiveness	NOUN
cana-5375	49	15	.	.	PUNCT
cana-5375	50	1	helff	helff	NOUN
cana-5375	50	2	et	et	PROPN
cana-5375	50	3	al	al	PROPN
cana-5375	50	4	.	.	PROPN
cana-5375	51	1	(	(	PUNCT
cana-5375	51	2	2023	2023	NUM
cana-5375	51	3	)	)	PUNCT
cana-5375	51	4	argue	argue	VERB
cana-5375	51	5	that	that	SCONJ
cana-5375	51	6	current	current	ADJ
cana-5375	51	7	ai	ai	PROPN
cana-5375	51	8	benchmarks	benchmark	NOUN
cana-5375	51	9	miss	miss	VERB
cana-5375	51	10	features	feature	NOUN
cana-5375	51	11	to	to	PART
cana-5375	51	12	represent	represent	VERB
cana-5375	51	13	difficulty	difficulty	NOUN
cana-5375	51	14	,	,	PUNCT
cana-5375	51	15	prove	prove	VERB
cana-5375	51	16	ai	ai	NOUN
cana-5375	51	17	models	model	NOUN
cana-5375	51	18	achieve	achieve	VERB
cana-5375	51	19	only	only	ADV
cana-5375	51	20	poor	poor	ADJ
cana-5375	51	21	performance	performance	NOUN
cana-5375	51	22	on	on	ADP
cana-5375	51	23	tasks	task	NOUN
cana-5375	51	24	that	that	PRON
cana-5375	51	25	are	be	AUX
cana-5375	51	26	both	both	ADV
cana-5375	51	27	noisy	noisy	ADJ
cana-5375	51	28	and	and	CCONJ
cana-5375	51	29	adversarial	adversarial	ADJ
cana-5375	51	30	,	,	PUNCT
cana-5375	51	31	and	and	CCONJ
cana-5375	51	32	discuss	discuss	VERB
cana-5375	51	33	that	that	SCONJ
cana-5375	51	34	even	even	ADV
cana-5375	51	35	the	the	DET
cana-5375	51	36	highest	high	ADJ
cana-5375	51	37	performing	perform	VERB
cana-5375	51	38	vision	vision	NOUN
cana-5375	51	39	models	model	NOUN
cana-5375	51	40	do	do	AUX
cana-5375	51	41	not	not	PART
cana-5375	51	42	have	have	VERB
cana-5375	51	43	the	the	DET
cana-5375	51	44	ability	ability	NOUN
cana-5375	51	45	for	for	ADP
cana-5375	51	46	abstract	abstract	ADJ
cana-5375	51	47	reasoning	reasoning	NOUN
cana-5375	51	48	,	,	PUNCT
cana-5375	51	49	or	or	CCONJ
cana-5375	51	50	robust	robust	ADJ
cana-5375	51	51	generalization	generalization	NOUN
cana-5375	51	52	in	in	ADP
cana-5375	51	53	such	such	ADJ
cana-5375	51	54	environments	environment	NOUN
cana-5375	51	55	.	.	PUNCT
cana-5375	52	1	if	if	SCONJ
cana-5375	52	2	a	a	DET
cana-5375	52	3	cloud	cloud	ADJ
cana-5375	52	4	governance	governance	NOUN
cana-5375	52	5	system	system	NOUN
cana-5375	52	6	includes	include	VERB
cana-5375	52	7	these	these	DET
cana-5375	52	8	deficiencies	deficiency	NOUN
cana-5375	52	9	,	,	PUNCT
cana-5375	52	10	then	then	ADV
cana-5375	52	11	it	it	PRON
cana-5375	52	12	may	may	AUX
cana-5375	52	13	make	make	VERB
cana-5375	52	14	wrong	wrong	ADJ
cana-5375	52	15	or	or	CCONJ
cana-5375	52	16	dangerous	dangerous	ADJ
cana-5375	52	17	access	access	NOUN
cana-5375	52	18	decisions	decision	NOUN
cana-5375	52	19	.	.	PUNCT
cana-5375	53	1	however	however	ADV
cana-5375	53	2	,	,	PUNCT
cana-5375	53	3	when	when	SCONJ
cana-5375	53	4	a	a	DET
cana-5375	53	5	solution	solution	NOUN
cana-5375	53	6	of	of	ADP
cana-5375	53	7	context	context	NOUN
cana-5375	53	8	needs	need	NOUN
cana-5375	53	9	to	to	PART
cana-5375	53	10	reason	reason	VERB
cana-5375	53	11	simultaneously	simultaneously	ADV
cana-5375	53	12	about	about	ADP
cana-5375	53	13	context	context	NOUN
cana-5375	53	14	,	,	PUNCT
cana-5375	53	15	intent	intent	NOUN
cana-5375	53	16	and	and	CCONJ
cana-5375	53	17	compliance	compliance	NOUN
cana-5375	53	18	,	,	PUNCT
cana-5375	53	19	nsai	nsai	ADJ
cana-5375	53	20	can	can	AUX
cana-5375	53	21	provide	provide	VERB
cana-5375	53	22	a	a	DET
cana-5375	53	23	countermeasure	countermeasure	NOUN
cana-5375	53	24	,	,	PUNCT
cana-5375	53	25	through	through	ADP
cana-5375	53	26	symbolic	symbolic	ADJ
cana-5375	53	27	reasoning	reasoning	NOUN
cana-5375	53	28	.	.	PUNCT
cana-5375	54	1	consequently	consequently	ADV
cana-5375	54	2	,	,	PUNCT
cana-5375	54	3	the	the	DET
cana-5375	54	4	neurosymbolic	neurosymbolic	ADJ
cana-5375	54	5	design	design	NOUN
cana-5375	54	6	is	be	AUX
cana-5375	54	7	important	important	ADJ
cana-5375	54	8	to	to	ADP
cana-5375	54	9	building	build	VERB
cana-5375	54	10	trustworthiness	trustworthiness	NOUN
cana-5375	54	11	and	and	CCONJ
cana-5375	54	12	abstraction	abstraction	NOUN
cana-5375	54	13	into	into	ADP
cana-5375	54	14	policy	policy	NOUN
cana-5375	54	15	generation	generation	NOUN
cana-5375	54	16	systems	system	NOUN
cana-5375	54	17	.	.	PUNCT
cana-5375	55	1	according	accord	VERB
cana-5375	55	2	to	to	ADP
cana-5375	55	3	rehan	rehan	PROPN
cana-5375	55	4	(	(	PUNCT
cana-5375	55	5	2021	2021	NUM
cana-5375	55	6	)	)	PUNCT
cana-5375	55	7	,	,	PUNCT
cana-5375	55	8	traditional	traditional	ADJ
cana-5375	55	9	fraud	fraud	NOUN
cana-5375	55	10	detection	detection	NOUN
cana-5375	55	11	system	system	NOUN
cana-5375	55	12	is	be	AUX
cana-5375	55	13	usually	usually	ADV
cana-5375	55	14	unable	unable	ADJ
cana-5375	55	15	to	to	PART
cana-5375	55	16	process	process	VERB
cana-5375	55	17	in	in	ADP
cana-5375	55	18	real	real	ADJ
cana-5375	55	19	time	time	NOUN
cana-5375	55	20	as	as	SCONJ
cana-5375	55	21	it	it	PRON
cana-5375	55	22	is	be	AUX
cana-5375	55	23	computationally	computationally	ADV
cana-5375	55	24	bottlenecked	bottleneck	VERB
cana-5375	55	25	and	and	CCONJ
cana-5375	55	26	lacks	lack	VERB
cana-5375	55	27	interpretability	interpretability	NOUN
cana-5375	55	28	.	.	PUNCT
cana-5375	56	1	specifically	specifically	ADV
cana-5375	56	2	,	,	PUNCT
cana-5375	56	3	nsai	nsai	PROPN
cana-5375	56	4	can	can	AUX
cana-5375	56	5	aid	aid	VERB
cana-5375	56	6	in	in	ADP
cana-5375	56	7	creating	create	VERB
cana-5375	56	8	systems	system	NOUN
cana-5375	56	9	that	that	PRON
cana-5375	56	10	are	be	AUX
cana-5375	56	11	able	able	ADJ
cana-5375	56	12	to	to	PART
cana-5375	56	13	quickly	quickly	ADV
cana-5375	56	14	detect	detect	VERB
cana-5375	56	15	anomalies	anomaly	NOUN
cana-5375	56	16	and	and	CCONJ
cana-5375	56	17	trigger	trigger	NOUN
cana-5375	56	18	sides	side	NOUN
cana-5375	56	19	,	,	PUNCT
cana-5375	56	20	encouraging	encourage	VERB
cana-5375	56	21	auditability	auditability	NOUN
cana-5375	56	22	and	and	CCONJ
cana-5375	56	23	regulatory	regulatory	ADJ
cana-5375	56	24	compliance	compliance	NOUN
cana-5375	56	25	,	,	PUNCT
cana-5375	56	26	and	and	CCONJ
cana-5375	56	27	at	at	ADP
cana-5375	56	28	the	the	DET
cana-5375	56	29	same	same	ADJ
cana-5375	56	30	time	time	NOUN
cana-5375	56	31	allowing	allow	VERB
cana-5375	56	32	enforcement	enforcement	NOUN
cana-5375	56	33	decisions	decision	NOUN
cana-5375	56	34	to	to	PART
cana-5375	56	35	explain	explain	VERB
cana-5375	56	36	and	and	CCONJ
cana-5375	56	37	justify	justify	VERB
cana-5375	56	38	them	they	PRON
cana-5375	56	39	.	.	PUNCT
cana-5375	57	1	communications	communication	NOUN
cana-5375	57	2	on	on	ADP
cana-5375	57	3	applied	apply	VERB
cana-5375	57	4	nonlinear	nonlinear	ADJ
cana-5375	57	5	analysis	analysis	NOUN
cana-5375	57	6	issn	issn	NOUN
cana-5375	57	7	:	:	PUNCT
cana-5375	57	8	1074	1074	NUM
cana-5375	57	9	-	-	PUNCT
cana-5375	57	10	133x	133x	NUM
cana-5375	57	11	vol	vol	NOUN
cana-5375	57	12	31	31	NUM
cana-5375	57	13	no	no	NOUN
cana-5375	57	14	.	.	PUNCT
cana-5375	58	1	2s	2s	NUM
cana-5375	58	2	(	(	PUNCT
cana-5375	58	3	2024	2024	NUM
cana-5375	58	4	)	)	PUNCT
cana-5375	58	5	743	743	NUM
cana-5375	58	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	58	7	2.4	2.4	NUM
cana-5375	58	8	cloud	cloud	NOUN
cana-5375	58	9	security	security	NOUN
cana-5375	58	10	policy	policy	NOUN
cana-5375	58	11	with	with	ADP
cana-5375	58	12	nsai	nsai	ADJ
cana-5375	58	13	in	in	ADP
cana-5375	58	14	hybrid	hybrid	NOUN
cana-5375	58	15	,	,	PUNCT
cana-5375	58	16	edge	edge	NOUN
cana-5375	58	17	enhanced	enhance	VERB
cana-5375	58	18	ecosystems	ecosystem	NOUN
cana-5375	58	19	,	,	PUNCT
cana-5375	58	20	context	context	NOUN
cana-5375	58	21	-	-	PUNCT
cana-5375	58	22	based	base	VERB
cana-5375	58	23	security	security	NOUN
cana-5375	58	24	polices	police	NOUN
cana-5375	58	25	come	come	VERB
cana-5375	58	26	to	to	PART
cana-5375	58	27	be	be	AUX
cana-5375	58	28	a	a	DET
cana-5375	58	29	necessity	necessity	NOUN
cana-5375	58	30	and	and	CCONJ
cana-5375	58	31	a	a	DET
cana-5375	58	32	challenge	challenge	NOUN
cana-5375	58	33	.	.	PUNCT
cana-5375	59	1	both	both	DET
cana-5375	59	2	traditional	traditional	ADJ
cana-5375	59	3	rule	rule	NOUN
cana-5375	59	4	-	-	PUNCT
cana-5375	59	5	based	base	VERB
cana-5375	59	6	approach	approach	NOUN
cana-5375	59	7	,	,	PUNCT
cana-5375	59	8	as	as	ADV
cana-5375	59	9	well	well	ADV
cana-5375	59	10	brittle	brittle	ADJ
cana-5375	59	11	in	in	ADP
cana-5375	59	12	dynamic	dynamic	ADJ
cana-5375	59	13	environments	environment	NOUN
cana-5375	59	14	,	,	PUNCT
cana-5375	59	15	and	and	CCONJ
cana-5375	59	16	deep	deep	ADJ
cana-5375	59	17	learning	learning	NOUN
cana-5375	59	18	model	model	NOUN
cana-5375	59	19	,	,	PUNCT
cana-5375	59	20	while	while	SCONJ
cana-5375	59	21	adaptive	adaptive	ADJ
cana-5375	59	22	,	,	PUNCT
cana-5375	59	23	are	be	AUX
cana-5375	59	24	not	not	PART
cana-5375	59	25	transparent	transparent	ADJ
cana-5375	59	26	.	.	PUNCT
cana-5375	60	1	this	this	DET
cana-5375	60	2	unification	unification	NOUN
cana-5375	60	3	naturally	naturally	ADV
cana-5375	60	4	provides	provide	VERB
cana-5375	60	5	nsai	nsai	ADJ
cana-5375	60	6	as	as	ADP
cana-5375	60	7	a	a	DET
cana-5375	60	8	compelling	compelling	ADJ
cana-5375	60	9	alternative	alternative	NOUN
cana-5375	60	10	.	.	PUNCT
cana-5375	61	1	at	at	ADP
cana-5375	61	2	the	the	DET
cana-5375	61	3	same	same	ADJ
cana-5375	61	4	time	time	NOUN
cana-5375	61	5	,	,	PUNCT
cana-5375	61	6	piplai	piplai	NOUN
cana-5375	61	7	et	et	PROPN
cana-5375	61	8	al	al	PROPN
cana-5375	61	9	.	.	PROPN
cana-5375	61	10	(	(	PUNCT
cana-5375	61	11	2023	2023	NUM
cana-5375	61	12	)	)	PUNCT
cana-5375	61	13	and	and	CCONJ
cana-5375	61	14	gaur	gaur	PROPN
cana-5375	61	15	&	&	CCONJ
cana-5375	61	16	sheth	sheth	PROPN
cana-5375	61	17	(	(	PUNCT
cana-5375	61	18	2023	2023	NUM
cana-5375	61	19	)	)	PUNCT
cana-5375	61	20	advocate	advocate	NOUN
cana-5375	61	21	that	that	SCONJ
cana-5375	61	22	explainability	explainability	NOUN
cana-5375	61	23	and	and	CCONJ
cana-5375	61	24	safety	safety	NOUN
cana-5375	61	25	(	(	PUNCT
cana-5375	61	26	the	the	DET
cana-5375	61	27	two	two	NUM
cana-5375	61	28	corner	corner	NOUN
cana-5375	61	29	stones	stone	NOUN
cana-5375	61	30	of	of	ADP
cana-5375	61	31	trustworthy	trustworthy	ADJ
cana-5375	61	32	ai	ai	NOUN
cana-5375	61	33	)	)	PUNCT
cana-5375	61	34	are	be	AUX
cana-5375	61	35	easiest	easy	ADJ
cana-5375	61	36	to	to	PART
cana-5375	61	37	achieve	achieve	VERB
cana-5375	61	38	if	if	SCONJ
cana-5375	61	39	models	model	NOUN
cana-5375	61	40	can	can	AUX
cana-5375	61	41	learn	learn	VERB
cana-5375	61	42	from	from	ADP
cana-5375	61	43	data	datum	NOUN
cana-5375	61	44	but	but	CCONJ
cana-5375	61	45	can	can	AUX
cana-5375	61	46	also	also	ADV
cana-5375	61	47	reason	reason	VERB
cana-5375	61	48	over	over	ADP
cana-5375	61	49	structured	structured	ADJ
cana-5375	61	50	domain	domain	NOUN
cana-5375	61	51	knowledge	knowledge	NOUN
cana-5375	61	52	.	.	PUNCT
cana-5375	62	1	categorisation	categorisation	NOUN
cana-5375	62	2	and	and	CCONJ
cana-5375	62	3	personalisation	personalisation	NOUN
cana-5375	62	4	play	play	VERB
cana-5375	62	5	an	an	DET
cana-5375	62	6	important	important	ADJ
cana-5375	62	7	role	role	NOUN
cana-5375	62	8	in	in	ADP
cana-5375	62	9	ai	ai	ADJ
cana-5375	62	10	access	access	NOUN
cana-5375	62	11	for	for	ADP
cana-5375	62	12	people	people	NOUN
cana-5375	62	13	with	with	ADP
cana-5375	62	14	disabilities	disability	NOUN
cana-5375	62	15	,	,	PUNCT
cana-5375	62	16	as	as	ADP
cana-5375	62	17	wald	wald	X
cana-5375	62	18	(	(	PUNCT
cana-5375	62	19	2021	2021	NUM
cana-5375	62	20	)	)	PUNCT
cana-5375	62	21	states	state	NOUN
cana-5375	62	22	.	.	PUNCT
cana-5375	63	1	considering	consider	VERB
cana-5375	63	2	the	the	DET
cana-5375	63	3	use	use	NOUN
cana-5375	63	4	of	of	ADP
cana-5375	63	5	this	this	DET
cana-5375	63	6	perspective	perspective	NOUN
cana-5375	63	7	to	to	ADP
cana-5375	63	8	cloud	cloud	NOUN
cana-5375	63	9	governance	governance	NOUN
cana-5375	63	10	,	,	PUNCT
cana-5375	63	11	policy	policy	NOUN
cana-5375	63	12	generation	generation	NOUN
cana-5375	63	13	systems	system	NOUN
cana-5375	63	14	must	must	AUX
cana-5375	63	15	also	also	ADV
cana-5375	63	16	include	include	VERB
cana-5375	63	17	user	user	NOUN
cana-5375	63	18	specific	specific	ADJ
cana-5375	63	19	contexts	contexts	NOUN
cana-5375	63	20	,	,	PUNCT
cana-5375	63	21	devices	device	NOUN
cana-5375	63	22	,	,	PUNCT
cana-5375	63	23	roles	role	NOUN
cana-5375	63	24	,	,	PUNCT
cana-5375	63	25	regions	region	NOUN
cana-5375	63	26	,	,	PUNCT
cana-5375	63	27	capabilities	capability	NOUN
cana-5375	63	28	.	.	PUNCT
cana-5375	64	1	such	such	ADJ
cana-5375	64	2	personalization	personalization	NOUN
cana-5375	64	3	logic	logic	NOUN
cana-5375	64	4	can	can	AUX
cana-5375	64	5	be	be	AUX
cana-5375	64	6	encoded	encode	VERB
cana-5375	64	7	in	in	ADP
cana-5375	64	8	some	some	DET
cana-5375	64	9	nsai	nsai	ADJ
cana-5375	64	10	framework	framework	NOUN
cana-5375	64	11	symbolically	symbolically	ADV
cana-5375	64	12	and	and	CCONJ
cana-5375	64	13	adapted	adapt	VERB
cana-5375	64	14	to	to	ADP
cana-5375	64	15	new	new	ADJ
cana-5375	64	16	patterns	pattern	NOUN
cana-5375	64	17	through	through	ADP
cana-5375	64	18	neural	neural	ADJ
cana-5375	64	19	learning	learning	NOUN
cana-5375	64	20	.	.	PUNCT
cana-5375	65	1	especially	especially	ADV
cana-5375	65	2	when	when	SCONJ
cana-5375	65	3	security	security	NOUN
cana-5375	65	4	frameworks	framework	NOUN
cana-5375	65	5	need	need	VERB
cana-5375	65	6	to	to	PART
cana-5375	65	7	extend	extend	VERB
cana-5375	65	8	across	across	ADP
cana-5375	65	9	various	various	ADJ
cana-5375	65	10	user	user	NOUN
cana-5375	65	11	bases	basis	NOUN
cana-5375	65	12	and	and	CCONJ
cana-5375	65	13	flexible	flexible	ADJ
cana-5375	65	14	workloads	workload	NOUN
cana-5375	65	15	in	in	ADP
cana-5375	65	16	hybrid	hybrid	ADJ
cana-5375	65	17	clouds	cloud	NOUN
cana-5375	65	18	,	,	PUNCT
cana-5375	65	19	it	it	PRON
cana-5375	65	20	is	be	AUX
cana-5375	65	21	especially	especially	ADV
cana-5375	65	22	important	important	ADJ
cana-5375	65	23	.	.	PUNCT
cana-5375	66	1	as	as	SCONJ
cana-5375	66	2	mentioned	mention	VERB
cana-5375	66	3	by	by	ADP
cana-5375	66	4	natarajan	natarajan	PROPN
cana-5375	66	5	(	(	PUNCT
cana-5375	66	6	2020	2020	NUM
cana-5375	66	7	)	)	PUNCT
cana-5375	66	8	,	,	PUNCT
cana-5375	66	9	hybrid	hybrid	NOUN
cana-5375	66	10	ai	ai	AUX
cana-5375	66	11	for	for	ADP
cana-5375	66	12	autonomous	autonomous	ADJ
cana-5375	66	13	test	test	NOUN
cana-5375	66	14	automation	automation	NOUN
cana-5375	66	15	has	have	VERB
cana-5375	66	16	the	the	DET
cana-5375	66	17	potential	potential	NOUN
cana-5375	66	18	to	to	PART
cana-5375	66	19	bring	bring	VERB
cana-5375	66	20	so	so	ADV
cana-5375	66	21	many	many	ADJ
cana-5375	66	22	benefits	benefit	NOUN
cana-5375	66	23	.	.	PUNCT
cana-5375	67	1	according	accord	VERB
cana-5375	67	2	to	to	ADP
cana-5375	67	3	his	his	PRON
cana-5375	67	4	study	study	NOUN
cana-5375	67	5	,	,	PUNCT
cana-5375	67	6	by	by	ADP
cana-5375	67	7	drawing	draw	VERB
cana-5375	67	8	upon	upon	SCONJ
cana-5375	67	9	nlp	nlp	NOUN
cana-5375	67	10	,	,	PUNCT
cana-5375	67	11	ml	ml	NOUN
cana-5375	67	12	and	and	CCONJ
cana-5375	67	13	reinforcement	reinforcement	NOUN
cana-5375	67	14	learning	learning	NOUN
cana-5375	67	15	,	,	PUNCT
cana-5375	67	16	he	he	PRON
cana-5375	67	17	has	have	AUX
cana-5375	67	18	developed	develop	VERB
cana-5375	67	19	accurate	accurate	ADJ
cana-5375	67	20	and	and	CCONJ
cana-5375	67	21	efficient	efficient	ADJ
cana-5375	67	22	test	test	NOUN
cana-5375	67	23	systems	system	NOUN
cana-5375	67	24	.	.	PUNCT
cana-5375	68	1	we	we	PRON
cana-5375	68	2	can	can	AUX
cana-5375	68	3	imagine	imagine	VERB
cana-5375	68	4	for	for	ADP
cana-5375	68	5	cloud	cloud	NOUN
cana-5375	68	6	policy	policy	NOUN
cana-5375	68	7	generalization	generalization	NOUN
cana-5375	68	8	,	,	PUNCT
cana-5375	68	9	a	a	DET
cana-5375	68	10	similar	similar	ADJ
cana-5375	68	11	hybrid	hybrid	NOUN
cana-5375	68	12	,	,	PUNCT
cana-5375	68	13	where	where	SCONJ
cana-5375	68	14	natural	natural	ADJ
cana-5375	68	15	language	language	NOUN
cana-5375	68	16	security	security	NOUN
cana-5375	68	17	rules	rule	NOUN
cana-5375	68	18	are	be	AUX
cana-5375	68	19	parsed	parse	VERB
cana-5375	68	20	,	,	PUNCT
cana-5375	68	21	learned	learn	VERB
cana-5375	68	22	and	and	CCONJ
cana-5375	68	23	representation	representation	NOUN
cana-5375	68	24	of	of	ADP
cana-5375	68	25	logs	log	NOUN
cana-5375	68	26	and	and	CCONJ
cana-5375	68	27	attack	attack	NOUN
cana-5375	68	28	traces	trace	NOUN
cana-5375	68	29	built	build	VERB
cana-5375	68	30	and	and	CCONJ
cana-5375	68	31	symbolic	symbolic	ADJ
cana-5375	68	32	policy	policy	NOUN
cana-5375	68	33	generation	generation	NOUN
cana-5375	68	34	modules	module	NOUN
cana-5375	68	35	for	for	ADP
cana-5375	68	36	policy	policy	NOUN
cana-5375	68	37	synthesis	synthesis	NOUN
cana-5375	68	38	into	into	ADP
cana-5375	68	39	enforceable	enforceable	ADJ
cana-5375	68	40	control	control	NOUN
cana-5375	68	41	.	.	PUNCT
cana-5375	69	1	an	an	DET
cana-5375	69	2	end	end	NOUN
cana-5375	69	3	-	-	PUNCT
cana-5375	69	4	to	to	ADP
cana-5375	69	5	-	-	PUNCT
cana-5375	69	6	end	end	NOUN
cana-5375	69	7	security	security	NOUN
cana-5375	69	8	pipeline	pipeline	NOUN
cana-5375	69	9	driven	drive	VERB
cana-5375	69	10	by	by	ADP
cana-5375	69	11	nsai	nsai	ADJ
cana-5375	69	12	is	be	AUX
cana-5375	69	13	produced	produce	VERB
cana-5375	69	14	which	which	PRON
cana-5375	69	15	can	can	AUX
cana-5375	69	16	accommodate	accommodate	VERB
cana-5375	69	17	,	,	PUNCT
cana-5375	69	18	explain	explain	VERB
cana-5375	69	19	and	and	CCONJ
cana-5375	69	20	enforce	enforce	VERB
cana-5375	69	21	policies	policy	NOUN
cana-5375	69	22	with	with	ADP
cana-5375	69	23	little	little	ADJ
cana-5375	69	24	human	human	ADJ
cana-5375	69	25	oversight	oversight	NOUN
cana-5375	69	26	.	.	PUNCT
cana-5375	70	1	the	the	DET
cana-5375	70	2	case	case	NOUN
cana-5375	70	3	for	for	ADP
cana-5375	70	4	using	use	VERB
cana-5375	70	5	neurosymbolic	neurosymbolic	NOUN
cana-5375	70	6	ai	ai	VERB
cana-5375	70	7	in	in	ADP
cana-5375	70	8	generating	generate	VERB
cana-5375	70	9	cloud	cloud	NOUN
cana-5375	70	10	security	security	NOUN
cana-5375	70	11	policies	policy	NOUN
cana-5375	70	12	is	be	AUX
cana-5375	70	13	demonstrated	demonstrate	VERB
cana-5375	70	14	in	in	ADP
cana-5375	70	15	the	the	DET
cana-5375	70	16	literature	literature	NOUN
cana-5375	70	17	.	.	PUNCT
cana-5375	71	1	it	it	PRON
cana-5375	71	2	addresses	address	VERB
cana-5375	71	3	the	the	DET
cana-5375	71	4	need	need	NOUN
cana-5375	71	5	to	to	PART
cana-5375	71	6	reduce	reduce	VERB
cana-5375	71	7	abstractions	abstraction	NOUN
cana-5375	71	8	and	and	CCONJ
cana-5375	71	9	unify	unify	VERB
cana-5375	71	10	analysis	analysis	NOUN
cana-5375	71	11	with	with	ADP
cana-5375	71	12	rule	rule	NOUN
cana-5375	71	13	-	-	PUNCT
cana-5375	71	14	based	base	VERB
cana-5375	71	15	logic	logic	NOUN
cana-5375	71	16	to	to	PART
cana-5375	71	17	aid	aid	VERB
cana-5375	71	18	in	in	ADP
cana-5375	71	19	interpretability	interpretability	NOUN
cana-5375	71	20	and	and	CCONJ
cana-5375	71	21	trust	trust	NOUN
cana-5375	71	22	of	of	ADP
cana-5375	71	23	the	the	DET
cana-5375	71	24	systems	system	NOUN
cana-5375	71	25	as	as	SCONJ
cana-5375	71	26	they	they	PRON
cana-5375	71	27	evolve	evolve	VERB
cana-5375	71	28	in	in	ADP
cana-5375	71	29	highly	highly	ADV
cana-5375	71	30	dynamic	dynamic	ADJ
cana-5375	71	31	evolution	evolution	NOUN
cana-5375	71	32	of	of	ADP
cana-5375	71	33	hybrid	hybrid	ADJ
cana-5375	71	34	environment	environment	NOUN
cana-5375	71	35	.	.	PUNCT
cana-5375	72	1	the	the	DET
cana-5375	72	2	domain	domain	NOUN
cana-5375	72	3	of	of	ADP
cana-5375	72	4	cloud	cloud	NOUN
cana-5375	72	5	governance	governance	NOUN
cana-5375	72	6	is	be	AUX
cana-5375	72	7	underexplored	underexplored	ADJ
cana-5375	72	8	,	,	PUNCT
cana-5375	72	9	and	and	CCONJ
cana-5375	72	10	the	the	DET
cana-5375	72	11	potential	potential	NOUN
cana-5375	72	12	of	of	ADP
cana-5375	72	13	the	the	DET
cana-5375	72	14	neurosymbolic	neurosymbolic	NOUN
cana-5375	72	15	ai	ai	VERB
cana-5375	72	16	is	be	AUX
cana-5375	72	17	proven	prove	VERB
cana-5375	72	18	in	in	ADP
cana-5375	72	19	nearly	nearly	ADV
cana-5375	72	20	all	all	DET
cana-5375	72	21	sectors	sector	NOUN
cana-5375	72	22	,	,	PUNCT
cana-5375	72	23	including	include	VERB
cana-5375	72	24	healthcare	healthcare	NOUN
cana-5375	72	25	,	,	PUNCT
cana-5375	72	26	manufacturing	manufacturing	NOUN
cana-5375	72	27	,	,	PUNCT
cana-5375	72	28	fraud	fraud	NOUN
cana-5375	72	29	detection	detection	NOUN
cana-5375	72	30	and	and	CCONJ
cana-5375	72	31	military	military	ADJ
cana-5375	72	32	intelligence	intelligence	NOUN
cana-5375	72	33	.	.	PUNCT
cana-5375	73	1	the	the	DET
cana-5375	73	2	merger	merger	NOUN
cana-5375	73	3	of	of	ADP
cana-5375	73	4	these	these	DET
cana-5375	73	5	thoughts	thought	NOUN
cana-5375	73	6	presents	present	VERB
cana-5375	73	7	a	a	DET
cana-5375	73	8	bright	bright	ADJ
cana-5375	73	9	horizon	horizon	NOUN
cana-5375	73	10	for	for	ADP
cana-5375	73	11	further	further	ADJ
cana-5375	73	12	research	research	NOUN
cana-5375	73	13	in	in	ADP
cana-5375	73	14	making	make	VERB
cana-5375	73	15	nsai	nsai	ADJ
cana-5375	73	16	operational	operational	ADJ
cana-5375	73	17	to	to	PART
cana-5375	73	18	automate	automate	VERB
cana-5375	73	19	policy	policy	NOUN
cana-5375	73	20	synthesis	synthesis	NOUN
cana-5375	73	21	,	,	PUNCT
cana-5375	73	22	threat	threat	NOUN
cana-5375	73	23	modeling	modeling	NOUN
cana-5375	73	24	and	and	CCONJ
cana-5375	73	25	compliance	compliance	NOUN
cana-5375	73	26	in	in	ADP
cana-5375	73	27	the	the	DET
cana-5375	73	28	highly	highly	ADV
cana-5375	73	29	complex	complex	ADJ
cana-5375	73	30	cloud	cloud	ADJ
cana-5375	73	31	environments	environment	NOUN
cana-5375	73	32	.	.	PUNCT
cana-5375	74	1	3	3	X
cana-5375	74	2	.	.	X
cana-5375	74	3	methodology	methodology	NOUN
cana-5375	74	4	this	this	DET
cana-5375	74	5	study	study	NOUN
cana-5375	74	6	presents	present	VERB
cana-5375	74	7	the	the	DET
cana-5375	74	8	methodology	methodology	NOUN
cana-5375	74	9	that	that	PRON
cana-5375	74	10	will	will	AUX
cana-5375	74	11	be	be	AUX
cana-5375	74	12	used	use	VERB
cana-5375	74	13	to	to	PART
cana-5375	74	14	test	test	VERB
cana-5375	74	15	the	the	DET
cana-5375	74	16	integration	integration	NOUN
cana-5375	74	17	of	of	ADP
cana-5375	74	18	neural	neural	ADJ
cana-5375	74	19	networks	network	NOUN
cana-5375	74	20	and	and	CCONJ
cana-5375	74	21	symbolic	symbolic	ADJ
cana-5375	74	22	reasoning	reasoning	NOUN
cana-5375	74	23	in	in	ADP
cana-5375	74	24	the	the	DET
cana-5375	74	25	creation	creation	NOUN
cana-5375	74	26	of	of	ADP
cana-5375	74	27	an	an	DET
cana-5375	74	28	automated	automate	VERB
cana-5375	74	29	,	,	PUNCT
cana-5375	74	30	adaptive	adaptive	ADJ
cana-5375	74	31	and	and	CCONJ
cana-5375	74	32	explainable	explainable	ADJ
cana-5375	74	33	policy	policy	NOUN
cana-5375	74	34	enforcement	enforcement	NOUN
cana-5375	74	35	in	in	ADP
cana-5375	74	36	a	a	DET
cana-5375	74	37	hybrid	hybrid	ADJ
cana-5375	74	38	cloud	cloud	NOUN
cana-5375	74	39	environment	environment	NOUN
cana-5375	74	40	.	.	PUNCT
cana-5375	75	1	the	the	DET
cana-5375	75	2	belt	belt	NOUN
cana-5375	75	3	of	of	ADP
cana-5375	75	4	the	the	DET
cana-5375	75	5	approach	approach	NOUN
cana-5375	75	6	is	be	AUX
cana-5375	75	7	a	a	DET
cana-5375	75	8	layered	layered	ADJ
cana-5375	75	9	experimental	experimental	ADJ
cana-5375	75	10	layout	layout	NOUN
cana-5375	75	11	,	,	PUNCT
cana-5375	75	12	starting	start	VERB
cana-5375	75	13	from	from	ADP
cana-5375	75	14	system	system	NOUN
cana-5375	75	15	model	model	NOUN
cana-5375	75	16	building	building	NOUN
cana-5375	75	17	,	,	PUNCT
cana-5375	75	18	dataset	dataset	NOUN
cana-5375	75	19	processing	processing	NOUN
cana-5375	75	20	,	,	PUNCT
cana-5375	75	21	model	model	NOUN
cana-5375	75	22	structure	structure	NOUN
cana-5375	75	23	building	building	NOUN
cana-5375	75	24	,	,	PUNCT
cana-5375	75	25	simulation	simulation	NOUN
cana-5375	75	26	-	-	PUNCT
cana-5375	75	27	based	base	VERB
cana-5375	75	28	evaluation	evaluation	NOUN
cana-5375	75	29	and	and	CCONJ
cana-5375	75	30	performance	performance	NOUN
cana-5375	75	31	evaluation	evaluation	NOUN
cana-5375	75	32	.	.	PUNCT
cana-5375	76	1	a	a	DET
cana-5375	76	2	first	first	ADJ
cana-5375	76	3	version	version	NOUN
cana-5375	76	4	of	of	ADP
cana-5375	76	5	such	such	DET
cana-5375	76	6	a	a	DET
cana-5375	76	7	policy	policy	NOUN
cana-5375	76	8	engine	engine	NOUN
cana-5375	76	9	was	be	AUX
cana-5375	76	10	then	then	ADV
cana-5375	76	11	developed	develop	VERB
cana-5375	76	12	with	with	ADP
cana-5375	76	13	a	a	DET
cana-5375	76	14	neurosymbolic	neurosymbolic	ADJ
cana-5375	76	15	framework	framework	NOUN
cana-5375	76	16	,	,	PUNCT
cana-5375	76	17	where	where	SCONJ
cana-5375	76	18	the	the	DET
cana-5375	76	19	neural	neural	ADJ
cana-5375	76	20	part	part	NOUN
cana-5375	76	21	learned	learn	VERB
cana-5375	76	22	contextual	contextual	ADJ
cana-5375	76	23	patterns	pattern	NOUN
cana-5375	76	24	based	base	VERB
cana-5375	76	25	on	on	ADP
cana-5375	76	26	access	access	NOUN
cana-5375	76	27	logs	log	NOUN
cana-5375	76	28	,	,	PUNCT
cana-5375	76	29	security	security	NOUN
cana-5375	76	30	events	event	NOUN
cana-5375	76	31	and	and	CCONJ
cana-5375	76	32	user	user	NOUN
cana-5375	76	33	behavior	behavior	NOUN
cana-5375	76	34	telemetry	telemetry	NOUN
cana-5375	76	35	,	,	PUNCT
cana-5375	76	36	and	and	CCONJ
cana-5375	76	37	communications	communication	NOUN
cana-5375	76	38	on	on	ADP
cana-5375	76	39	applied	apply	VERB
cana-5375	76	40	nonlinear	nonlinear	ADJ
cana-5375	76	41	analysis	analysis	NOUN
cana-5375	76	42	issn	issn	NOUN
cana-5375	76	43	:	:	PUNCT
cana-5375	76	44	1074	1074	NUM
cana-5375	76	45	-	-	PUNCT
cana-5375	76	46	133x	133x	NUM
cana-5375	76	47	vol	vol	NOUN
cana-5375	76	48	31	31	NUM
cana-5375	76	49	no	no	NOUN
cana-5375	76	50	.	.	PUNCT
cana-5375	77	1	2s	2s	NUM
cana-5375	77	2	(	(	PUNCT
cana-5375	77	3	2024	2024	NUM
cana-5375	77	4	)	)	PUNCT
cana-5375	77	5	744	744	NUM
cana-5375	77	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	77	7	the	the	DET
cana-5375	77	8	symbolic	symbolic	ADJ
cana-5375	77	9	part	part	NOUN
cana-5375	77	10	expressed	express	VERB
cana-5375	77	11	compliance	compliance	NOUN
cana-5375	77	12	rules	rule	NOUN
cana-5375	77	13	,	,	PUNCT
cana-5375	77	14	regulatory	regulatory	ADJ
cana-5375	77	15	standards	standard	NOUN
cana-5375	77	16	and	and	CCONJ
cana-5375	77	17	enterprise	enterprise	NOUN
cana-5375	77	18	specific	specific	ADJ
cana-5375	77	19	access	access	NOUN
cana-5375	77	20	hierarchies	hierarchy	NOUN
cana-5375	77	21	with	with	ADP
cana-5375	77	22	prolog	prolog	NOUN
cana-5375	77	23	and	and	CCONJ
cana-5375	77	24	owlbased	owlbased	ADJ
cana-5375	77	25	ontologies	ontology	NOUN
cana-5375	77	26	.	.	PUNCT
cana-5375	78	1	the	the	DET
cana-5375	78	2	neural	neural	ADJ
cana-5375	78	3	part	part	NOUN
cana-5375	78	4	was	be	AUX
cana-5375	78	5	modeled	model	VERB
cana-5375	78	6	by	by	ADP
cana-5375	78	7	using	use	VERB
cana-5375	78	8	a	a	DET
cana-5375	78	9	recurrent	recurrent	ADJ
cana-5375	78	10	neural	neural	ADJ
cana-5375	78	11	network	network	NOUN
cana-5375	78	12	(	(	PUNCT
cana-5375	78	13	rnn	rnn	PROPN
cana-5375	78	14	)	)	PUNCT
cana-5375	78	15	with	with	ADP
cana-5375	78	16	attention	attention	NOUN
cana-5375	78	17	mechanism	mechanism	NOUN
cana-5375	78	18	to	to	PART
cana-5375	78	19	catch	catch	VERB
cana-5375	78	20	the	the	DET
cana-5375	78	21	sequential	sequential	ADJ
cana-5375	78	22	access	access	NOUN
cana-5375	78	23	patterns	pattern	NOUN
cana-5375	78	24	across	across	ADP
cana-5375	78	25	cloud	cloud	ADJ
cana-5375	78	26	tenants	tenant	NOUN
cana-5375	78	27	.	.	PUNCT
cana-5375	79	1	the	the	DET
cana-5375	79	2	hybrid	hybrid	ADJ
cana-5375	79	3	cloud	cloud	NOUN
cana-5375	79	4	anonymized	anonymize	VERB
cana-5375	79	5	log	log	NOUN
cana-5375	79	6	entries	entry	NOUN
cana-5375	79	7	used	use	VERB
cana-5375	79	8	as	as	ADP
cana-5375	79	9	training	training	NOUN
cana-5375	79	10	dataset	dataset	NOUN
cana-5375	79	11	included	include	VERB
cana-5375	79	12	attack	attack	NOUN
cana-5375	79	13	traces	trace	NOUN
cana-5375	79	14	(	(	PUNCT
cana-5375	79	15	such	such	ADJ
cana-5375	79	16	as	as	ADP
cana-5375	79	17	the	the	DET
cana-5375	79	18	privilege	privilege	NOUN
cana-5375	79	19	escalation	escalation	NOUN
cana-5375	79	20	,	,	PUNCT
cana-5375	79	21	insider	insider	NOUN
cana-5375	79	22	access	access	NOUN
cana-5375	79	23	anomalies	anomaly	NOUN
cana-5375	79	24	)	)	PUNCT
cana-5375	79	25	.	.	PUNCT
cana-5375	80	1	the	the	DET
cana-5375	80	2	data	datum	NOUN
cana-5375	80	3	preprocessing	preprocessing	NOUN
cana-5375	80	4	was	be	AUX
cana-5375	80	5	session	session	NOUN
cana-5375	80	6	reconstruction	reconstruction	NOUN
cana-5375	80	7	,	,	PUNCT
cana-5375	80	8	ip	ip	NOUN
cana-5375	80	9	enrichment	enrichment	NOUN
cana-5375	80	10	,	,	PUNCT
cana-5375	80	11	user	user	NOUN
cana-5375	80	12	device	device	NOUN
cana-5375	80	13	linkage	linkage	NOUN
cana-5375	80	14	and	and	CCONJ
cana-5375	80	15	role	role	NOUN
cana-5375	80	16	labeling	labeling	NOUN
cana-5375	80	17	.	.	PUNCT
cana-5375	81	1	the	the	DET
cana-5375	81	2	input	input	NOUN
cana-5375	81	3	was	be	AUX
cana-5375	81	4	tokenized	tokenize	VERB
cana-5375	81	5	in	in	ADP
cana-5375	81	6	order	order	NOUN
cana-5375	81	7	to	to	PART
cana-5375	81	8	vectorize	vectorize	VERB
cana-5375	81	9	it	it	PRON
cana-5375	81	10	using	use	VERB
cana-5375	81	11	word2vec	word2vec	ADJ
cana-5375	81	12	embeddings	embedding	NOUN
cana-5375	81	13	to	to	PART
cana-5375	81	14	capture	capture	VERB
cana-5375	81	15	semantic	semantic	ADJ
cana-5375	81	16	tokens	token	NOUN
cana-5375	81	17	(	(	PUNCT
cana-5375	81	18	access	access	NOUN
cana-5375	81	19	intent	intent	NOUN
cana-5375	81	20	and	and	CCONJ
cana-5375	81	21	environment	environment	NOUN
cana-5375	81	22	variables	variable	NOUN
cana-5375	81	23	)	)	PUNCT
cana-5375	81	24	representations	representation	NOUN
cana-5375	81	25	.	.	PUNCT
cana-5375	82	1	in	in	ADP
cana-5375	82	2	parallel	parallel	NOUN
cana-5375	82	3	,	,	PUNCT
cana-5375	82	4	the	the	DET
cana-5375	82	5	symbolic	symbolic	ADJ
cana-5375	82	6	layer	layer	NOUN
cana-5375	82	7	enforced	enforce	VERB
cana-5375	82	8	constraint	constraint	NOUN
cana-5375	82	9	like	like	ADP
cana-5375	82	10	,	,	PUNCT
cana-5375	82	11	‘	'	PUNCT
cana-5375	82	12	no	no	DET
cana-5375	82	13	cross	cross	ADJ
cana-5375	82	14	-	-	ADJ
cana-5375	82	15	region	region	ADJ
cana-5375	82	16	access	access	NOUN
cana-5375	82	17	unless	unless	SCONJ
cana-5375	82	18	verified	verify	VERB
cana-5375	82	19	encrypted	encrypt	VERB
cana-5375	82	20	tunnel	tunnel	NOUN
cana-5375	82	21	’	'	PUNCT
cana-5375	82	22	,	,	PUNCT
cana-5375	82	23	‘	'	PUNCT
cana-5375	82	24	privileged	privileged	ADJ
cana-5375	82	25	role	role	NOUN
cana-5375	82	26	needs	need	VERB
cana-5375	82	27	dual	dual	ADJ
cana-5375	82	28	factor	factor	NOUN
cana-5375	82	29	authentication	authentication	NOUN
cana-5375	82	30	outside	outside	ADP
cana-5375	82	31	the	the	DET
cana-5375	82	32	hours	hour	NOUN
cana-5375	82	33	.	.	PUNCT
cana-5375	83	1	and	and	CCONJ
cana-5375	83	2	these	these	DET
cana-5375	83	3	rules	rule	NOUN
cana-5375	83	4	were	be	AUX
cana-5375	83	5	developed	develop	VERB
cana-5375	83	6	so	so	SCONJ
cana-5375	83	7	that	that	SCONJ
cana-5375	83	8	whenever	whenever	SCONJ
cana-5375	83	9	these	these	DET
cana-5375	83	10	predefined	predefine	VERB
cana-5375	83	11	risk	risk	NOUN
cana-5375	83	12	thresholds	threshold	NOUN
cana-5375	83	13	were	be	AUX
cana-5375	83	14	exceeded	exceed	VERB
cana-5375	83	15	,	,	PUNCT
cana-5375	83	16	neural	neural	ADJ
cana-5375	83	17	predictions	prediction	NOUN
cana-5375	83	18	would	would	AUX
cana-5375	83	19	be	be	AUX
cana-5375	83	20	dynamically	dynamically	ADV
cana-5375	83	21	gated	gate	VERB
cana-5375	83	22	or	or	CCONJ
cana-5375	83	23	overridden	overridden	ADJ
cana-5375	83	24	.	.	PUNCT
cana-5375	84	1	a	a	DET
cana-5375	84	2	hybrid	hybrid	ADJ
cana-5375	84	3	cloud	cloud	NOUN
cana-5375	84	4	environment	environment	NOUN
cana-5375	84	5	was	be	AUX
cana-5375	84	6	built	build	VERB
cana-5375	84	7	by	by	ADP
cana-5375	84	8	using	use	VERB
cana-5375	84	9	aws	aw	NOUN
cana-5375	84	10	cloudformation	cloudformation	NOUN
cana-5375	84	11	templates	template	NOUN
cana-5375	84	12	and	and	CCONJ
cana-5375	84	13	azure	azure	ADJ
cana-5375	84	14	resource	resource	NOUN
cana-5375	84	15	manager	manager	NOUN
cana-5375	84	16	templates	template	NOUN
cana-5375	84	17	in	in	ADP
cana-5375	84	18	order	order	NOUN
cana-5375	84	19	to	to	PART
cana-5375	84	20	evaluate	evaluate	VERB
cana-5375	84	21	the	the	DET
cana-5375	84	22	responsiveness	responsiveness	NOUN
cana-5375	84	23	and	and	CCONJ
cana-5375	84	24	accuracy	accuracy	NOUN
cana-5375	84	25	of	of	ADP
cana-5375	84	26	the	the	DET
cana-5375	84	27	policy	policy	NOUN
cana-5375	84	28	engine	engine	NOUN
cana-5375	84	29	.	.	PUNCT
cana-5375	85	1	dynamic	dynamic	ADJ
cana-5375	85	2	instantiation	instantiation	NOUN
cana-5375	85	3	of	of	ADP
cana-5375	85	4	multi	multi	ADJ
cana-5375	85	5	region	region	NOUN
cana-5375	85	6	services	services	PROPN
cana-5375	85	7	,	,	PUNCT
cana-5375	85	8	tenant	tenant	NOUN
cana-5375	85	9	separation	separation	NOUN
cana-5375	85	10	,	,	PUNCT
cana-5375	85	11	threat	threat	NOUN
cana-5375	85	12	injection	injection	NOUN
cana-5375	85	13	by	by	ADP
cana-5375	85	14	emulated	emulated	ADJ
cana-5375	85	15	behavior	behavior	NOUN
cana-5375	85	16	was	be	AUX
cana-5375	85	17	enabled	enable	VERB
cana-5375	85	18	through	through	ADP
cana-5375	85	19	this	this	DET
cana-5375	85	20	simulation	simulation	NOUN
cana-5375	85	21	.	.	PUNCT
cana-5375	86	1	using	use	VERB
cana-5375	86	2	this	this	DET
cana-5375	86	3	setup	setup	NOUN
cana-5375	86	4	a	a	DET
cana-5375	86	5	number	number	NOUN
cana-5375	86	6	of	of	ADP
cana-5375	86	7	adversarial	adversarial	ADJ
cana-5375	86	8	scenarios	scenario	NOUN
cana-5375	86	9	were	be	AUX
cana-5375	86	10	introduced	introduce	VERB
cana-5375	86	11	,	,	PUNCT
cana-5375	86	12	namely	namely	ADV
cana-5375	86	13	time	time	NOUN
cana-5375	86	14	-	-	PUNCT
cana-5375	86	15	based	base	VERB
cana-5375	86	16	role	role	NOUN
cana-5375	86	17	abuse	abuse	NOUN
cana-5375	86	18	,	,	PUNCT
cana-5375	86	19	sudden	sudden	ADJ
cana-5375	86	20	geographic	geographic	ADJ
cana-5375	86	21	shifts	shift	NOUN
cana-5375	86	22	and	and	CCONJ
cana-5375	86	23	anomaly	anomaly	NOUN
cana-5375	86	24	injection	injection	NOUN
cana-5375	86	25	:	:	PUNCT
cana-5375	86	26	●	●	NUM
cana-5375	86	27	policy	policy	NOUN
cana-5375	86	28	rules	rule	NOUN
cana-5375	86	29	:	:	PUNCT
cana-5375	86	30	cis	cis	NOUN
cana-5375	86	31	benchmarks	benchmark	NOUN
cana-5375	86	32	,	,	PUNCT
cana-5375	86	33	nist	nist	NOUN
cana-5375	86	34	sp	sp	ADP
cana-5375	86	35	800	800	NUM
cana-5375	86	36	-	-	SYM
cana-5375	86	37	53	53	NUM
cana-5375	86	38	and	and	CCONJ
cana-5375	86	39	50	50	NUM
cana-5375	86	40	+	+	CCONJ
cana-5375	86	41	manually	manually	ADV
cana-5375	86	42	defined	define	VERB
cana-5375	86	43	symbolic	symbolic	ADJ
cana-5375	86	44	rules	rule	NOUN
cana-5375	86	45	●	●	NUM
cana-5375	86	46	evaluation	evaluation	NOUN
cana-5375	86	47	metrics	metric	NOUN
cana-5375	86	48	:	:	PUNCT
cana-5375	86	49	cis	cis	NOUN
cana-5375	86	50	benchmarks	benchmark	NOUN
cana-5375	86	51	,	,	PUNCT
cana-5375	86	52	nist	nist	NOUN
cana-5375	86	53	sp	sp	ADP
cana-5375	86	54	800	800	NUM
cana-5375	86	55	-	-	SYM
cana-5375	86	56	53	53	NUM
cana-5375	86	57	and	and	CCONJ
cana-5375	86	58	50	50	NUM
cana-5375	86	59	+	+	CCONJ
cana-5375	86	60	manually	manually	ADV
cana-5375	86	61	defined	define	VERB
cana-5375	86	62	symbolic	symbolic	ADJ
cana-5375	86	63	rules	rule	NOUN
cana-5375	86	64	for	for	ADP
cana-5375	86	65	model	model	NOUN
cana-5375	86	66	training	training	NOUN
cana-5375	86	67	,	,	PUNCT
cana-5375	86	68	a	a	DET
cana-5375	86	69	stratified	stratified	ADJ
cana-5375	86	70	80/20	80/20	NUM
cana-5375	86	71	split	split	NOUN
cana-5375	86	72	was	be	AUX
cana-5375	86	73	used	use	VERB
cana-5375	86	74	and	and	CCONJ
cana-5375	86	75	the	the	DET
cana-5375	86	76	hyperparameter	hyperparameter	NOUN
cana-5375	86	77	tuning	tune	VERB
cana-5375	86	78	via	via	ADP
cana-5375	86	79	bayesian	bayesian	NOUN
cana-5375	86	80	optimization	optimization	NOUN
cana-5375	86	81	was	be	AUX
cana-5375	86	82	to	to	PART
cana-5375	86	83	achieve	achieve	VERB
cana-5375	86	84	the	the	DET
cana-5375	86	85	right	right	ADJ
cana-5375	86	86	amount	amount	NOUN
cana-5375	86	87	of	of	ADP
cana-5375	86	88	strictness	strictness	NOUN
cana-5375	86	89	versus	versus	ADP
cana-5375	86	90	adaptive	adaptive	ADJ
cana-5375	86	91	policy	policy	NOUN
cana-5375	86	92	.	.	PUNCT
cana-5375	87	1	the	the	DET
cana-5375	87	2	baseline	baseline	NOUN
cana-5375	87	3	under	under	ADP
cana-5375	87	4	which	which	PRON
cana-5375	87	5	our	our	PRON
cana-5375	87	6	neurosymbolic	neurosymbolic	ADJ
cana-5375	87	7	policy	policy	NOUN
cana-5375	87	8	decisions	decision	NOUN
cana-5375	87	9	were	be	AUX
cana-5375	87	10	evaluated	evaluate	VERB
cana-5375	87	11	is	be	AUX
cana-5375	87	12	traditional	traditional	ADJ
cana-5375	87	13	rbac	rbac	NOUN
cana-5375	87	14	system	system	NOUN
cana-5375	87	15	plus	plus	CCONJ
cana-5375	87	16	pure	pure	ADJ
cana-5375	87	17	neural	neural	ADJ
cana-5375	87	18	policy	policy	NOUN
cana-5375	87	19	model	model	NOUN
cana-5375	87	20	(	(	PUNCT
cana-5375	87	21	no	no	DET
cana-5375	87	22	symbolic	symbolic	ADJ
cana-5375	87	23	overrides	override	VERB
cana-5375	87	24	)	)	PUNCT
cana-5375	87	25	.	.	PUNCT
cana-5375	88	1	and	and	CCONJ
cana-5375	88	2	recordings	recording	NOUN
cana-5375	88	3	of	of	ADP
cana-5375	88	4	the	the	DET
cana-5375	88	5	symbolic	symbolic	ADJ
cana-5375	88	6	layer	layer	NOUN
cana-5375	88	7	’s	’s	PART
cana-5375	88	8	trace	trace	NOUN
cana-5375	88	9	logs	log	NOUN
cana-5375	88	10	were	be	AUX
cana-5375	88	11	recorded	record	VERB
cana-5375	88	12	for	for	ADP
cana-5375	88	13	explanation	explanation	NOUN
cana-5375	88	14	assessment	assessment	NOUN
cana-5375	88	15	.	.	PUNCT
cana-5375	89	1	throughput	throughput	NOUN
cana-5375	89	2	(	(	PUNCT
cana-5375	89	3	policy	policy	NOUN
cana-5375	89	4	decisions	decision	NOUN
cana-5375	89	5	per	per	ADP
cana-5375	89	6	second	second	ADJ
cana-5375	89	7	)	)	PUNCT
cana-5375	89	8	,	,	PUNCT
cana-5375	89	9	accuracy	accuracy	NOUN
cana-5375	89	10	(	(	PUNCT
cana-5375	89	11	aligned	align	VERB
cana-5375	89	12	with	with	ADP
cana-5375	89	13	ground	ground	NOUN
cana-5375	89	14	truth	truth	NOUN
cana-5375	89	15	labels	label	NOUN
cana-5375	89	16	)	)	PUNCT
cana-5375	89	17	and	and	CCONJ
cana-5375	89	18	per	per	ADP
cana-5375	89	19	cent	cent	NOUN
cana-5375	89	20	explanation	explanation	NOUN
cana-5375	89	21	(	(	PUNCT
cana-5375	89	22	correct	correct	ADJ
cana-5375	89	23	actions	action	NOUN
cana-5375	89	24	that	that	SCONJ
cana-5375	89	25	the	the	DET
cana-5375	89	26	model	model	NOUN
cana-5375	89	27	can	can	AUX
cana-5375	89	28	interpret	interpret	VERB
cana-5375	89	29	)	)	PUNCT
cana-5375	89	30	were	be	AUX
cana-5375	89	31	measured	measure	VERB
cana-5375	89	32	on	on	ADP
cana-5375	89	33	performance	performance	NOUN
cana-5375	89	34	.	.	PUNCT
cana-5375	90	1	we	we	PRON
cana-5375	90	2	particularly	particularly	ADV
cana-5375	90	3	looked	look	VERB
cana-5375	90	4	to	to	PART
cana-5375	90	5	see	see	VERB
cana-5375	90	6	if	if	SCONJ
cana-5375	90	7	the	the	DET
cana-5375	90	8	symbolic	symbolic	ADJ
cana-5375	90	9	layer	layer	NOUN
cana-5375	90	10	would	would	AUX
cana-5375	90	11	intervene	intervene	VERB
cana-5375	90	12	in	in	ADP
cana-5375	90	13	neural	neural	ADJ
cana-5375	90	14	predictions	prediction	NOUN
cana-5375	90	15	in	in	ADP
cana-5375	90	16	14.2	14.2	NUM
cana-5375	90	17	%	%	NOUN
cana-5375	90	18	of	of	ADP
cana-5375	90	19	the	the	DET
cana-5375	90	20	case	case	NOUN
cana-5375	90	21	,	,	PUNCT
cana-5375	90	22	and	and	CCONJ
cana-5375	90	23	indeed	indeed	ADV
cana-5375	90	24	it	it	PRON
cana-5375	90	25	did	do	VERB
cana-5375	90	26	so	so	ADV
cana-5375	90	27	in	in	ADP
cana-5375	90	28	14.2	14.2	NUM
cana-5375	90	29	%	%	NOUN
cana-5375	90	30	of	of	ADP
cana-5375	90	31	cases	case	NOUN
cana-5375	90	32	,	,	PUNCT
cana-5375	90	33	improving	improve	VERB
cana-5375	90	34	both	both	DET
cana-5375	90	35	accuracy	accuracy	NOUN
cana-5375	90	36	and	and	CCONJ
cana-5375	90	37	compliance	compliance	NOUN
cana-5375	90	38	by	by	ADP
cana-5375	90	39	preventing	prevent	VERB
cana-5375	90	40	security	security	NOUN
cana-5375	90	41	drift	drift	NOUN
cana-5375	90	42	.	.	PUNCT
cana-5375	91	1	the	the	DET
cana-5375	91	2	systematic	systematic	ADJ
cana-5375	91	3	benchmarking	benchmarke	VERB
cana-5375	91	4	under	under	ADP
cana-5375	91	5	near	near	ADP
cana-5375	91	6	real	real	ADJ
cana-5375	91	7	life	life	NOUN
cana-5375	91	8	cloud	cloud	NOUN
cana-5375	91	9	operational	operational	ADJ
cana-5375	91	10	conditions	condition	NOUN
cana-5375	91	11	with	with	ADP
cana-5375	91	12	this	this	DET
cana-5375	91	13	hybrid	hybrid	ADJ
cana-5375	91	14	simulation	simulation	NOUN
cana-5375	91	15	setup	setup	NOUN
cana-5375	91	16	and	and	CCONJ
cana-5375	91	17	evaluation	evaluation	NOUN
cana-5375	91	18	framework	framework	NOUN
cana-5375	91	19	provided	provide	VERB
cana-5375	91	20	this	this	DET
cana-5375	91	21	means	mean	NOUN
cana-5375	91	22	for	for	ADP
cana-5375	91	23	neurosymbolic	neurosymbolic	ADJ
cana-5375	91	24	models	model	NOUN
cana-5375	91	25	.	.	PUNCT
cana-5375	92	1	4	4	X
cana-5375	92	2	.	.	X
cana-5375	92	3	key	key	ADJ
cana-5375	92	4	results	result	NOUN
cana-5375	92	5	the	the	DET
cana-5375	92	6	integration	integration	NOUN
cana-5375	92	7	of	of	ADP
cana-5375	92	8	neural	neural	ADJ
cana-5375	92	9	and	and	CCONJ
cana-5375	92	10	symbolic	symbolic	ADJ
cana-5375	92	11	components	component	NOUN
cana-5375	92	12	in	in	ADP
cana-5375	92	13	the	the	DET
cana-5375	92	14	proposed	propose	VERB
cana-5375	92	15	system	system	NOUN
cana-5375	92	16	helped	help	VERB
cana-5375	92	17	in	in	ADP
cana-5375	92	18	meaningful	meaningful	ADJ
cana-5375	92	19	improvements	improvement	NOUN
cana-5375	92	20	of	of	ADP
cana-5375	92	21	policy	policy	NOUN
cana-5375	92	22	accuracy	accuracy	NOUN
cana-5375	92	23	,	,	PUNCT
cana-5375	92	24	adaptability	adaptability	NOUN
cana-5375	92	25	and	and	CCONJ
cana-5375	92	26	explainability	explainability	NOUN
cana-5375	92	27	over	over	ADP
cana-5375	92	28	traditional	traditional	ADJ
cana-5375	92	29	access	access	NOUN
cana-5375	92	30	control	control	NOUN
cana-5375	92	31	mechanisms	mechanism	NOUN
cana-5375	92	32	,	,	PUNCT
cana-5375	92	33	benchmarked	benchmarke	VERB
cana-5375	92	34	.	.	PUNCT
cana-5375	93	1	for	for	ADP
cana-5375	93	2	federated	federated	ADJ
cana-5375	93	3	identities	identity	NOUN
cana-5375	93	4	,	,	PUNCT
cana-5375	93	5	cross	cross	NOUN
cana-5375	93	6	region	region	NOUN
cana-5375	93	7	access	access	NOUN
cana-5375	93	8	,	,	PUNCT
cana-5375	93	9	multi	multi	ADJ
cana-5375	93	10	-	-	NOUN
cana-5375	93	11	tenant	tenant	ADJ
cana-5375	93	12	orchestration	orchestration	NOUN
cana-5375	93	13	and	and	CCONJ
cana-5375	93	14	many	many	ADJ
cana-5375	93	15	other	other	ADJ
cana-5375	93	16	enterprises	enterprise	NOUN
cana-5375	93	17	level	level	NOUN
cana-5375	93	18	characteristics	characteristic	NOUN
cana-5375	93	19	,	,	PUNCT
cana-5375	93	20	the	the	DET
cana-5375	93	21	hybrid	hybrid	ADJ
cana-5375	93	22	cloud	cloud	PROPN
cana-5375	93	23	simulation	simulation	NOUN
cana-5375	93	24	environment	environment	NOUN
cana-5375	93	25	was	be	AUX
cana-5375	93	26	built	build	VERB
cana-5375	93	27	as	as	ADP
cana-5375	93	28	the	the	DET
cana-5375	93	29	core	core	NOUN
cana-5375	93	30	experiments	experiment	NOUN
cana-5375	93	31	.	.	PUNCT
cana-5375	94	1	the	the	DET
cana-5375	94	2	communications	communication	NOUN
cana-5375	94	3	on	on	ADP
cana-5375	94	4	applied	apply	VERB
cana-5375	94	5	nonlinear	nonlinear	ADJ
cana-5375	94	6	analysis	analysis	NOUN
cana-5375	94	7	issn	issn	NOUN
cana-5375	94	8	:	:	PUNCT
cana-5375	94	9	1074	1074	NUM
cana-5375	94	10	-	-	PUNCT
cana-5375	94	11	133x	133x	NUM
cana-5375	94	12	vol	vol	NOUN
cana-5375	94	13	31	31	NUM
cana-5375	94	14	no	no	NOUN
cana-5375	94	15	.	.	PUNCT
cana-5375	95	1	2s	2s	NUM
cana-5375	95	2	(	(	PUNCT
cana-5375	95	3	2024	2024	NUM
cana-5375	95	4	)	)	PUNCT
cana-5375	95	5	745	745	NUM
cana-5375	95	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	95	7	neurosymbolic	neurosymbolic	ADJ
cana-5375	95	8	model	model	NOUN
cana-5375	95	9	had	have	VERB
cana-5375	95	10	a	a	DET
cana-5375	95	11	substantially	substantially	ADV
cana-5375	95	12	lower	low	ADJ
cana-5375	95	13	false	false	ADJ
cana-5375	95	14	negative	negative	ADJ
cana-5375	95	15	rate	rate	NOUN
cana-5375	95	16	(	(	PUNCT
cana-5375	95	17	fnr	fnr	PROPN
cana-5375	95	18	)	)	PUNCT
cana-5375	95	19	during	during	ADP
cana-5375	95	20	initial	initial	ADJ
cana-5375	95	21	training	training	NOUN
cana-5375	95	22	and	and	CCONJ
cana-5375	95	23	evaluation	evaluation	NOUN
cana-5375	95	24	phases	phase	NOUN
cana-5375	95	25	that	that	PRON
cana-5375	95	26	were	be	AUX
cana-5375	95	27	substantially	substantially	ADV
cana-5375	95	28	lower	low	ADJ
cana-5375	95	29	than	than	ADP
cana-5375	95	30	that	that	PRON
cana-5375	95	31	of	of	ADP
cana-5375	95	32	its	its	PRON
cana-5375	95	33	neural	neural	ADJ
cana-5375	95	34	-	-	PUNCT
cana-5375	95	35	only	only	ADV
cana-5375	95	36	counterpart	counterpart	NOUN
cana-5375	95	37	,	,	PUNCT
cana-5375	95	38	especially	especially	ADV
cana-5375	95	39	at	at	ADP
cana-5375	95	40	an	an	DET
cana-5375	95	41	fnr	fnr	NOUN
cana-5375	95	42	for	for	ADP
cana-5375	95	43	ambiguous	ambiguous	ADJ
cana-5375	95	44	or	or	CCONJ
cana-5375	95	45	previously	previously	ADV
cana-5375	95	46	unobserved	unobserved	ADJ
cana-5375	95	47	access	access	NOUN
cana-5375	95	48	patterns	pattern	NOUN
cana-5375	95	49	.	.	PUNCT
cana-5375	96	1	it	it	PRON
cana-5375	96	2	is	be	AUX
cana-5375	96	3	due	due	ADJ
cana-5375	96	4	to	to	ADP
cana-5375	96	5	the	the	DET
cana-5375	96	6	symbolic	symbolic	ADJ
cana-5375	96	7	layer	layer	NOUN
cana-5375	96	8	being	be	AUX
cana-5375	96	9	able	able	ADJ
cana-5375	96	10	to	to	PART
cana-5375	96	11	enforce	enforce	VERB
cana-5375	96	12	generalizable	generalizable	ADJ
cana-5375	96	13	compliance	compliance	NOUN
cana-5375	96	14	constraints	constraint	NOUN
cana-5375	96	15	that	that	PRON
cana-5375	96	16	would	would	AUX
cana-5375	96	17	otherwise	otherwise	ADV
cana-5375	96	18	be	be	AUX
cana-5375	96	19	overlooked	overlook	VERB
cana-5375	96	20	by	by	ADP
cana-5375	96	21	a	a	DET
cana-5375	96	22	purely	purely	ADV
cana-5375	96	23	data	data	NOUN
cana-5375	96	24	-	-	PUNCT
cana-5375	96	25	based	base	VERB
cana-5375	96	26	approach	approach	NOUN
cana-5375	96	27	.	.	PUNCT
cana-5375	97	1	additionally	additionally	ADV
cana-5375	97	2	,	,	PUNCT
cana-5375	97	3	the	the	DET
cana-5375	97	4	symbolic	symbolic	ADJ
cana-5375	97	5	override	override	NOUN
cana-5375	97	6	mechanism	mechanism	NOUN
cana-5375	97	7	allowed	allow	VERB
cana-5375	97	8	for	for	ADP
cana-5375	97	9	the	the	DET
cana-5375	97	10	on	on	ADP
cana-5375	97	11	-	-	PUNCT
cana-5375	97	12	the	the	DET
cana-5375	97	13	-	-	PUNCT
cana-5375	97	14	fly	fly	NOUN
cana-5375	97	15	policy	policy	NOUN
cana-5375	97	16	corrections	correction	NOUN
cana-5375	97	17	based	base	VERB
cana-5375	97	18	upon	upon	SCONJ
cana-5375	97	19	neural	neural	ADJ
cana-5375	97	20	predictions	prediction	NOUN
cana-5375	97	21	differing	differ	VERB
cana-5375	97	22	from	from	ADP
cana-5375	97	23	the	the	DET
cana-5375	97	24	regulatory	regulatory	ADJ
cana-5375	97	25	expectations	expectation	NOUN
cana-5375	97	26	.	.	PUNCT
cana-5375	98	1	the	the	DET
cana-5375	98	2	four	four	NUM
cana-5375	98	3	primary	primary	ADJ
cana-5375	98	4	metrics	metric	NOUN
cana-5375	98	5	analyzed	analyze	VERB
cana-5375	98	6	to	to	PART
cana-5375	98	7	quantify	quantify	VERB
cana-5375	98	8	improvements	improvement	NOUN
cana-5375	98	9	across	across	ADP
cana-5375	98	10	different	different	ADJ
cana-5375	98	11	performance	performance	NOUN
cana-5375	98	12	dimensions	dimension	NOUN
cana-5375	98	13	are	be	AUX
cana-5375	98	14	accuracy	accuracy	ADJ
cana-5375	98	15	,	,	PUNCT
cana-5375	98	16	compliance	compliance	NOUN
cana-5375	98	17	violations	violation	NOUN
cana-5375	98	18	prevented	prevent	VERB
cana-5375	98	19	,	,	PUNCT
cana-5375	98	20	decision	decision	NOUN
cana-5375	98	21	latencies	latency	NOUN
cana-5375	98	22	and	and	CCONJ
cana-5375	98	23	explainability	explainability	NOUN
cana-5375	98	24	trace	trace	NOUN
cana-5375	98	25	coverage	coverage	NOUN
cana-5375	98	26	.	.	PUNCT
cana-5375	99	1	on	on	ADP
cana-5375	99	2	average	average	ADJ
cana-5375	99	3	the	the	DET
cana-5375	99	4	hybrid	hybrid	NOUN
cana-5375	99	5	model	model	NOUN
cana-5375	99	6	was	be	AUX
cana-5375	99	7	93.6	93.6	NUM
cana-5375	99	8	%	%	NOUN
cana-5375	99	9	accurate	accurate	ADJ
cana-5375	99	10	at	at	ADP
cana-5375	99	11	policy	policy	NOUN
cana-5375	99	12	decision	decision	NOUN
cana-5375	99	13	compared	compare	VERB
cana-5375	99	14	to	to	ADP
cana-5375	99	15	an	an	DET
cana-5375	99	16	81.4	81.4	NUM
cana-5375	99	17	%	%	NOUN
cana-5375	99	18	accuracy	accuracy	NOUN
cana-5375	99	19	by	by	ADP
cana-5375	99	20	the	the	DET
cana-5375	99	21	baseline	baseline	PROPN
cana-5375	99	22	rbac	rbac	PROPN
cana-5375	99	23	model	model	PROPN
cana-5375	99	24	,	,	PUNCT
cana-5375	99	25	changing	change	VERB
cana-5375	99	26	the	the	DET
cana-5375	99	27	overall	overall	ADJ
cana-5375	99	28	cost	cost	NOUN
cana-5375	99	29	for	for	ADP
cana-5375	99	30	this	this	DET
cana-5375	99	31	use	use	NOUN
cana-5375	99	32	case	case	NOUN
cana-5375	99	33	,	,	PUNCT
cana-5375	99	34	and	and	CCONJ
cana-5375	99	35	an	an	DET
cana-5375	99	36	89.1	89.1	NUM
cana-5375	99	37	%	%	NOUN
cana-5375	99	38	accuracy	accuracy	NOUN
cana-5375	99	39	by	by	ADP
cana-5375	99	40	the	the	DET
cana-5375	99	41	neural	neural	ADJ
cana-5375	99	42	only	only	ADJ
cana-5375	99	43	model	model	NOUN
cana-5375	99	44	.	.	PUNCT
cana-5375	100	1	of	of	ADP
cana-5375	100	2	importance	importance	NOUN
cana-5375	100	3	is	be	AUX
cana-5375	100	4	that	that	SCONJ
cana-5375	100	5	the	the	DET
cana-5375	100	6	neurosymbolic	neurosymbolic	ADJ
cana-5375	100	7	framework	framework	NOUN
cana-5375	100	8	was	be	AUX
cana-5375	100	9	able	able	ADJ
cana-5375	100	10	to	to	PART
cana-5375	100	11	dynamically	dynamically	VERB
cana-5375	100	12	change	change	VERB
cana-5375	100	13	to	to	ADP
cana-5375	100	14	new	new	ADJ
cana-5375	100	15	behavioral	behavioral	ADJ
cana-5375	100	16	patterns	pattern	NOUN
cana-5375	100	17	in	in	ADP
cana-5375	100	18	user	user	NOUN
cana-5375	100	19	access	access	NOUN
cana-5375	100	20	logs	log	NOUN
cana-5375	100	21	,	,	PUNCT
cana-5375	100	22	as	as	ADV
cana-5375	100	23	well	well	ADV
cana-5375	100	24	as	as	ADP
cana-5375	100	25	combating	combat	VERB
cana-5375	100	26	the	the	DET
cana-5375	100	27	adversarial	adversarial	ADJ
cana-5375	100	28	conditions	condition	NOUN
cana-5375	100	29	such	such	ADJ
cana-5375	100	30	as	as	ADP
cana-5375	100	31	geo	geo	PROPN
cana-5375	100	32	spoofing	spoofing	NOUN
cana-5375	100	33	of	of	ADP
cana-5375	100	34	access	access	NOUN
cana-5375	100	35	requests	request	NOUN
cana-5375	100	36	or	or	CCONJ
cana-5375	100	37	dormant	dormant	ADJ
cana-5375	100	38	privilege	privilege	NOUN
cana-5375	100	39	escalation	escalation	NOUN
cana-5375	100	40	.	.	PUNCT
cana-5375	101	1	comparative	comparative	ADJ
cana-5375	101	2	policy	policy	NOUN
cana-5375	101	3	decision	decision	NOUN
cana-5375	101	4	metrics	metric	NOUN
cana-5375	101	5	for	for	ADP
cana-5375	101	6	each	each	DET
cana-5375	101	7	model	model	NOUN
cana-5375	101	8	are	be	AUX
cana-5375	101	9	given	give	VERB
cana-5375	101	10	in	in	ADP
cana-5375	101	11	table	table	NOUN
cana-5375	101	12	1	1	NUM
cana-5375	101	13	.	.	PUNCT
cana-5375	101	14	table	table	NOUN
cana-5375	101	15	1	1	NUM
cana-5375	101	16	:	:	PUNCT
cana-5375	101	17	policy	policy	NOUN
cana-5375	101	18	decision	decision	NOUN
cana-5375	101	19	accuracy	accuracy	NOUN
cana-5375	101	20	model	model	NOUN
cana-5375	101	21	type	type	NOUN
cana-5375	101	22	accuracy	accuracy	NOUN
cana-5375	101	23	(	(	PUNCT
cana-5375	101	24	%	%	INTJ
cana-5375	101	25	)	)	PUNCT
cana-5375	101	26	false	false	ADJ
cana-5375	101	27	positives	positive	NOUN
cana-5375	101	28	(	(	PUNCT
cana-5375	101	29	%	%	INTJ
cana-5375	101	30	)	)	PUNCT
cana-5375	101	31	false	false	ADJ
cana-5375	101	32	negatives	negative	NOUN
cana-5375	101	33	(	(	PUNCT
cana-5375	101	34	%	%	INTJ
cana-5375	101	35	)	)	PUNCT
cana-5375	101	36	compliance	compliance	NOUN
cana-5375	101	37	violations	violation	NOUN
cana-5375	101	38	rbac	rbac	PROPN
cana-5375	101	39	baseline	baseline	VERB
cana-5375	101	40	81.4	81.4	NUM
cana-5375	101	41	5.1	5.1	NUM
cana-5375	101	42	13.5	13.5	NUM
cana-5375	101	43	764	764	NUM
cana-5375	101	44	communications	communication	NOUN
cana-5375	101	45	on	on	ADP
cana-5375	101	46	applied	apply	VERB
cana-5375	101	47	nonlinear	nonlinear	ADJ
cana-5375	101	48	analysis	analysis	NOUN
cana-5375	101	49	issn	issn	NOUN
cana-5375	101	50	:	:	PUNCT
cana-5375	101	51	1074	1074	NUM
cana-5375	101	52	-	-	PUNCT
cana-5375	101	53	133x	133x	NUM
cana-5375	101	54	vol	vol	NOUN
cana-5375	101	55	31	31	NUM
cana-5375	101	56	no	no	NOUN
cana-5375	101	57	.	.	PUNCT
cana-5375	102	1	2s	2s	NUM
cana-5375	102	2	(	(	PUNCT
cana-5375	102	3	2024	2024	NUM
cana-5375	102	4	)	)	PUNCT
cana-5375	102	5	746	746	NUM
cana-5375	102	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	102	7	neural	neural	ADJ
cana-5375	102	8	-	-	PUNCT
cana-5375	102	9	only	only	ADJ
cana-5375	102	10	model	model	NOUN
cana-5375	102	11	89.1	89.1	NUM
cana-5375	102	12	4.7	4.7	NUM
cana-5375	102	13	6.2	6.2	NUM
cana-5375	102	14	214	214	NUM
cana-5375	102	15	neurosymbolic	neurosymbolic	ADJ
cana-5375	102	16	model	model	NOUN
cana-5375	102	17	93.6	93.6	NUM
cana-5375	102	18	3.4	3.4	NUM
cana-5375	102	19	3.0	3.0	NUM
cana-5375	102	20	59	59	NUM
cana-5375	102	21	reduction	reduction	NOUN
cana-5375	102	22	of	of	ADP
cana-5375	102	23	compliance	compliance	NOUN
cana-5375	102	24	violation	violation	NOUN
cana-5375	102	25	rates	rate	NOUN
cana-5375	102	26	also	also	ADV
cana-5375	102	27	relied	rely	VERB
cana-5375	102	28	heavily	heavily	ADV
cana-5375	102	29	on	on	ADP
cana-5375	102	30	the	the	DET
cana-5375	102	31	work	work	NOUN
cana-5375	102	32	of	of	ADP
cana-5375	102	33	the	the	DET
cana-5375	102	34	symbolic	symbolic	ADJ
cana-5375	102	35	layer	layer	NOUN
cana-5375	102	36	.	.	PUNCT
cana-5375	103	1	the	the	DET
cana-5375	103	2	results	result	NOUN
cana-5375	103	3	of	of	ADP
cana-5375	103	4	our	our	PRON
cana-5375	103	5	manual	manual	ADJ
cana-5375	103	6	inspection	inspection	NOUN
cana-5375	103	7	of	of	ADP
cana-5375	103	8	a	a	DET
cana-5375	103	9	symbolic	symbolic	ADJ
cana-5375	103	10	override	override	NOUN
cana-5375	103	11	log	log	NOUN
cana-5375	103	12	consisted	consist	VERB
cana-5375	103	13	of	of	ADP
cana-5375	103	14	14.2	14.2	NUM
cana-5375	103	15	per	per	ADP
cana-5375	103	16	cent	cent	NOUN
cana-5375	103	17	of	of	ADP
cana-5375	103	18	an	an	DET
cana-5375	103	19	access	access	NOUN
cana-5375	103	20	scenario	scenario	NOUN
cana-5375	103	21	where	where	SCONJ
cana-5375	103	22	the	the	DET
cana-5375	103	23	neural	neural	ADJ
cana-5375	103	24	component	component	NOUN
cana-5375	103	25	made	make	VERB
cana-5375	103	26	permissive	permissive	ADJ
cana-5375	103	27	predictions	prediction	NOUN
cana-5375	103	28	which	which	PRON
cana-5375	103	29	were	be	AUX
cana-5375	103	30	overridden	overridden	ADJ
cana-5375	103	31	by	by	ADP
cana-5375	103	32	rules	rule	NOUN
cana-5375	103	33	expressing	express	VERB
cana-5375	103	34	iso	iso	NOUN
cana-5375	103	35	27001	27001	NUM
cana-5375	103	36	and	and	CCONJ
cana-5375	103	37	nist	nist	NOUN
cana-5375	103	38	800	800	NUM
cana-5375	103	39	-	-	SYM
cana-5375	103	40	53	53	NUM
cana-5375	103	41	standards	standard	NOUN
cana-5375	103	42	.	.	PUNCT
cana-5375	104	1	both	both	CCONJ
cana-5375	104	2	this	this	DET
cana-5375	104	3	mechanism	mechanism	NOUN
cana-5375	104	4	and	and	CCONJ
cana-5375	104	5	the	the	DET
cana-5375	104	6	presence	presence	NOUN
cana-5375	104	7	of	of	ADP
cana-5375	104	8	this	this	DET
cana-5375	104	9	mechanism	mechanism	NOUN
cana-5375	104	10	acted	act	VERB
cana-5375	104	11	as	as	ADP
cana-5375	104	12	a	a	DET
cana-5375	104	13	safety	safety	NOUN
cana-5375	104	14	net	net	NOUN
cana-5375	104	15	when	when	SCONJ
cana-5375	104	16	the	the	DET
cana-5375	104	17	situation	situation	NOUN
cana-5375	104	18	was	be	AUX
cana-5375	104	19	ambiguous	ambiguous	ADJ
cana-5375	104	20	.	.	PUNCT
cana-5375	105	1	for	for	ADP
cana-5375	105	2	example	example	NOUN
cana-5375	105	3	,	,	PUNCT
cana-5375	105	4	the	the	DET
cana-5375	105	5	symbolic	symbolic	ADJ
cana-5375	105	6	rule	rule	NOUN
cana-5375	105	7	blocked	block	VERB
cana-5375	105	8	a	a	DET
cana-5375	105	9	cross	cross	ADJ
cana-5375	105	10	-	-	ADJ
cana-5375	105	11	region	region	ADJ
cana-5375	105	12	admin	admin	ADJ
cana-5375	105	13	login	login	NOUN
cana-5375	105	14	attempts	attempt	VERB
cana-5375	105	15	when	when	SCONJ
cana-5375	105	16	the	the	DET
cana-5375	105	17	neural	neural	ADJ
cana-5375	105	18	model	model	NOUN
cana-5375	105	19	incorrectly	incorrectly	ADV
cana-5375	105	20	allowed	allow	VERB
cana-5375	105	21	the	the	DET
cana-5375	105	22	attempt	attempt	NOUN
cana-5375	105	23	,	,	PUNCT
cana-5375	105	24	and	and	CCONJ
cana-5375	105	25	this	this	PRON
cana-5375	105	26	was	be	AUX
cana-5375	105	27	based	base	VERB
cana-5375	105	28	on	on	ADP
cana-5375	105	29	the	the	DET
cana-5375	105	30	encoding	encoding	NOUN
cana-5375	105	31	of	of	ADP
cana-5375	105	32	“	"	PUNCT
cana-5375	105	33	time	time	NOUN
cana-5375	105	34	-	-	PUNCT
cana-5375	105	35	based	base	VERB
cana-5375	105	36	access	access	NOUN
cana-5375	105	37	”	"	PUNCT
cana-5375	105	38	restrictions	restriction	NOUN
cana-5375	105	39	.	.	PUNCT
cana-5375	106	1	a	a	DET
cana-5375	106	2	key	key	ADJ
cana-5375	106	3	module	module	NOUN
cana-5375	106	4	of	of	ADP
cana-5375	106	5	the	the	DET
cana-5375	106	6	policy	policy	NOUN
cana-5375	106	7	enforcement	enforcement	NOUN
cana-5375	106	8	engine	engine	NOUN
cana-5375	106	9	,	,	PUNCT
cana-5375	106	10	which	which	PRON
cana-5375	106	11	demonstrates	demonstrate	VERB
cana-5375	106	12	how	how	SCONJ
cana-5375	106	13	it	it	PRON
cana-5375	106	14	learns	learn	VERB
cana-5375	106	15	to	to	ADP
cana-5375	106	16	interface	interface	NOUN
cana-5375	106	17	with	with	ADP
cana-5375	106	18	the	the	DET
cana-5375	106	19	symbolic	symbolic	ADJ
cana-5375	106	20	policies	policy	NOUN
cana-5375	106	21	is	be	AUX
cana-5375	106	22	presented	present	VERB
cana-5375	106	23	below	below	ADP
cana-5375	106	24	:	:	PUNCT
cana-5375	106	25	1	1	X
cana-5375	106	26	.	.	X
cana-5375	106	27	def	def	PROPN
cana-5375	106	28	hybrid_policy_decision(user_context	hybrid_policy_decision(user_context	PROPN
cana-5375	106	29	,	,	PUNCT
cana-5375	106	30	neural_model	neural_model	PROPN
cana-5375	106	31	,	,	PUNCT
cana-5375	106	32	symbolic_engine	symbolic_engine	NUM
cana-5375	106	33	):	):	PUNCT
cana-5375	106	34	2	2	NUM
cana-5375	106	35	.	.	X
cana-5375	106	36	#	#	NOUN
cana-5375	106	37	step	step	NOUN
cana-5375	106	38	1	1	NUM
cana-5375	106	39	:	:	PUNCT
cana-5375	106	40	neural	neural	ADJ
cana-5375	106	41	prediction	prediction	NOUN
cana-5375	106	42	based	base	VERB
cana-5375	106	43	on	on	ADP
cana-5375	106	44	observed	observed	ADJ
cana-5375	106	45	behavior	behavior	NOUN
cana-5375	106	46	3	3	X
cana-5375	106	47	.	.	PUNCT
cana-5375	107	1	risk_score	risk_score	NOUN
cana-5375	107	2	=	=	PUNCT
cana-5375	107	3	neural_model.predict(user_context	neural_model.predict(user_context	ADJ
cana-5375	107	4	)	)	PUNCT
cana-5375	107	5	4	4	NUM
cana-5375	107	6	.	.	X
cana-5375	107	7	#	#	NOUN
cana-5375	107	8	step	step	NOUN
cana-5375	107	9	2	2	NUM
cana-5375	107	10	:	:	PUNCT
cana-5375	107	11	rule	rule	NOUN
cana-5375	107	12	-	-	PUNCT
cana-5375	107	13	based	base	VERB
cana-5375	107	14	override	override	NOUN
cana-5375	107	15	check	check	NOUN
cana-5375	107	16	5	5	NUM
cana-5375	107	17	.	.	PUNCT
cana-5375	108	1	if	if	SCONJ
cana-5375	108	2	symbolic_engine.evaluate_rules(user_context	symbolic_engine.evaluate_rules(user_context	NOUN
cana-5375	108	3	)	)	PUNCT
cana-5375	109	1	=	=	PUNCT
cana-5375	109	2	=	=	NOUN
cana-5375	109	3	'	'	PUNCT
cana-5375	109	4	deny	deny	VERB
cana-5375	109	5	'	'	PUNCT
cana-5375	109	6	:	:	PUNCT
cana-5375	109	7	6	6	NUM
cana-5375	109	8	.	.	X
cana-5375	109	9	decision	decision	NOUN
cana-5375	109	10	=	=	PUNCT
cana-5375	109	11	'	'	PUNCT
cana-5375	109	12	deny	deny	VERB
cana-5375	109	13	'	'	PUNCT
cana-5375	109	14	7	7	NUM
cana-5375	109	15	.	.	PUNCT
cana-5375	109	16	explanation	explanation	NOUN
cana-5375	109	17	=	=	SYM
cana-5375	109	18	symbolic_engine.get_explanation(user_context	symbolic_engine.get_explanation(user_context	PROPN
cana-5375	109	19	)	)	PUNCT
cana-5375	109	20	8	8	NUM
cana-5375	109	21	.	.	PUNCT
cana-5375	110	1	elif	elif	PROPN
cana-5375	110	2	risk_score	risk_score	PROPN
cana-5375	110	3	>	>	X
cana-5375	110	4	0.8	0.8	NUM
cana-5375	110	5	:	:	SYM
cana-5375	110	6	9	9	NUM
cana-5375	110	7	.	.	X
cana-5375	110	8	decision	decision	NOUN
cana-5375	110	9	=	=	PUNCT
cana-5375	110	10	'	'	PUNCT
cana-5375	110	11	deny	deny	VERB
cana-5375	110	12	'	'	PUNCT
cana-5375	110	13	10	10	NUM
cana-5375	110	14	.	.	PUNCT
cana-5375	111	1	explanation	explanation	NOUN
cana-5375	111	2	=	=	SYM
cana-5375	111	3	f"high	f"high	ADJ
cana-5375	111	4	risk	risk	NOUN
cana-5375	111	5	score	score	NOUN
cana-5375	111	6	:	:	PUNCT
cana-5375	111	7	{	{	PUNCT
cana-5375	111	8	risk_score:.2f	risk_score:.2f	NOUN
cana-5375	111	9	}	}	PUNCT
cana-5375	111	10	"	"	PUNCT
cana-5375	111	11	11	11	NUM
cana-5375	111	12	.	.	PUNCT
cana-5375	112	1	else	else	ADV
cana-5375	112	2	:	:	PUNCT
cana-5375	112	3	12	12	NUM
cana-5375	112	4	.	.	PUNCT
cana-5375	112	5	decision	decision	NOUN
cana-5375	112	6	=	=	PUNCT
cana-5375	112	7	'	'	PUNCT
cana-5375	112	8	allow	allow	VERB
cana-5375	112	9	'	'	PUNCT
cana-5375	112	10	13	13	NUM
cana-5375	112	11	.	.	PUNCT
cana-5375	113	1	explanation	explanation	NOUN
cana-5375	113	2	=	=	SYM
cana-5375	113	3	f"risk	f"risk	NOUN
cana-5375	113	4	accepted	accept	VERB
cana-5375	113	5	,	,	PUNCT
cana-5375	113	6	score	score	NOUN
cana-5375	113	7	:	:	PUNCT
cana-5375	113	8	{	{	PUNCT
cana-5375	113	9	risk_score:.2f	risk_score:.2f	NOUN
cana-5375	113	10	}	}	PUNCT
cana-5375	113	11	"	"	PUNCT
cana-5375	113	12	14	14	NUM
cana-5375	113	13	.	.	PUNCT
cana-5375	114	1	return	return	NOUN
cana-5375	114	2	decision	decision	NOUN
cana-5375	114	3	,	,	PUNCT
cana-5375	114	4	explanation	explanation	NOUN
cana-5375	114	5	access	access	NOUN
cana-5375	114	6	constraints	constraint	NOUN
cana-5375	114	7	are	be	AUX
cana-5375	114	8	represented	represent	VERB
cana-5375	114	9	by	by	ADP
cana-5375	114	10	prolog	prolog	NOUN
cana-5375	114	11	based	base	VERB
cana-5375	114	12	reasoning	reasoning	NOUN
cana-5375	114	13	over	over	ADP
cana-5375	114	14	owl	owl	NOUN
cana-5375	114	15	ontologies	ontology	NOUN
cana-5375	114	16	and	and	CCONJ
cana-5375	114	17	the	the	DET
cana-5375	114	18	symbolic	symbolic	ADJ
cana-5375	114	19	rules	rule	NOUN
cana-5375	114	20	are	be	AUX
cana-5375	114	21	subsequently	subsequently	ADV
cana-5375	114	22	implemented	implement	VERB
cana-5375	114	23	over	over	ADP
cana-5375	114	24	these	these	DET
cana-5375	114	25	ontologies	ontology	NOUN
cana-5375	114	26	.	.	PUNCT
cana-5375	115	1	therefore	therefore	ADV
cana-5375	115	2	,	,	PUNCT
cana-5375	115	3	fine	fine	ADJ
cana-5375	115	4	grain	grain	NOUN
cana-5375	115	5	explainability	explainability	NOUN
cana-5375	115	6	was	be	AUX
cana-5375	115	7	possible	possible	ADJ
cana-5375	115	8	which	which	PRON
cana-5375	115	9	enabled	enable	VERB
cana-5375	115	10	tracing	tracing	NOUN
cana-5375	115	11	of	of	ADP
cana-5375	115	12	each	each	DET
cana-5375	115	13	policy	policy	NOUN
cana-5375	115	14	decision	decision	NOUN
cana-5375	115	15	to	to	ADP
cana-5375	115	16	either	either	CCONJ
cana-5375	115	17	a	a	DET
cana-5375	115	18	learnt	learnt	ADJ
cana-5375	115	19	risk	risk	NOUN
cana-5375	115	20	score	score	NOUN
cana-5375	115	21	or	or	CCONJ
cana-5375	115	22	a	a	DET
cana-5375	115	23	specific	specific	ADJ
cana-5375	115	24	symbolic	symbolic	ADJ
cana-5375	115	25	clause	clause	NOUN
cana-5375	115	26	.	.	PUNCT
cana-5375	116	1	communications	communication	NOUN
cana-5375	116	2	on	on	ADP
cana-5375	116	3	applied	apply	VERB
cana-5375	116	4	nonlinear	nonlinear	ADJ
cana-5375	116	5	analysis	analysis	NOUN
cana-5375	116	6	issn	issn	NOUN
cana-5375	116	7	:	:	PUNCT
cana-5375	116	8	1074	1074	NUM
cana-5375	116	9	-	-	PUNCT
cana-5375	116	10	133x	133x	NUM
cana-5375	116	11	vol	vol	NOUN
cana-5375	116	12	31	31	NUM
cana-5375	116	13	no	no	NOUN
cana-5375	116	14	.	.	PUNCT
cana-5375	117	1	2s	2s	NUM
cana-5375	117	2	(	(	PUNCT
cana-5375	117	3	2024	2024	NUM
cana-5375	117	4	)	)	PUNCT
cana-5375	117	5	747	747	NUM
cana-5375	117	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	117	7	and	and	CCONJ
cana-5375	117	8	the	the	DET
cana-5375	117	9	explanation	explanation	NOUN
cana-5375	117	10	metric	metric	NOUN
cana-5375	117	11	(	(	PUNCT
cana-5375	117	12	packing	pack	VERB
cana-5375	117	13	percentage	percentage	NOUN
cana-5375	117	14	of	of	ADP
cana-5375	117	15	explanation	explanation	NOUN
cana-5375	117	16	for	for	ADP
cana-5375	117	17	decisions	decision	NOUN
cana-5375	117	18	)	)	PUNCT
cana-5375	117	19	gave	give	VERB
cana-5375	117	20	91.3	91.3	NUM
cana-5375	117	21	%	%	NOUN
cana-5375	117	22	of	of	ADP
cana-5375	117	23	policy	policy	NOUN
cana-5375	117	24	actions	action	NOUN
cana-5375	117	25	from	from	ADP
cana-5375	117	26	hybrid	hybrid	ADJ
cana-5375	117	27	model	model	NOUN
cana-5375	117	28	with	with	ADP
cana-5375	117	29	interpretable	interpretable	ADJ
cana-5375	117	30	explanations	explanation	NOUN
cana-5375	117	31	,	,	PUNCT
cana-5375	117	32	but	but	CCONJ
cana-5375	117	33	only	only	ADV
cana-5375	117	34	26.8	26.8	NUM
cana-5375	117	35	%	%	NOUN
cana-5375	117	36	from	from	ADP
cana-5375	117	37	the	the	DET
cana-5375	117	38	neural	neural	ADJ
cana-5375	117	39	only	only	ADJ
cana-5375	117	40	model	model	NOUN
cana-5375	117	41	.	.	PUNCT
cana-5375	118	1	table	table	NOUN
cana-5375	118	2	2	2	NUM
cana-5375	118	3	:	:	PUNCT
cana-5375	118	4	policy	policy	NOUN
cana-5375	118	5	explainability	explainability	NOUN
cana-5375	118	6	model	model	NOUN
cana-5375	118	7	type	type	NOUN
cana-5375	118	8	explainable	explainable	ADJ
cana-5375	118	9	decisions	decision	NOUN
cana-5375	118	10	(	(	PUNCT
cana-5375	118	11	%	%	INTJ
cana-5375	118	12	)	)	PUNCT
cana-5375	118	13	decision	decision	NOUN
cana-5375	118	14	latency	latency	NOUN
cana-5375	118	15	(	(	PUNCT
cana-5375	118	16	ms	ms	NOUN
cana-5375	118	17	)	)	PUNCT
cana-5375	118	18	neural	neural	ADJ
cana-5375	118	19	predictions	prediction	NOUN
cana-5375	118	20	(	(	PUNCT
cana-5375	118	21	%	%	INTJ
cana-5375	118	22	)	)	PUNCT
cana-5375	119	1	rbac	rbac	PROPN
cana-5375	119	2	baseline	baseline	VERB
cana-5375	119	3	100	100	NUM
cana-5375	119	4	5.6	5.6	NUM
cana-5375	119	5	n	n	CCONJ
cana-5375	119	6	/	/	SYM
cana-5375	119	7	a	a	DET
cana-5375	119	8	neural	neural	ADJ
cana-5375	119	9	-	-	PUNCT
cana-5375	119	10	only	only	ADJ
cana-5375	119	11	model	model	NOUN
cana-5375	119	12	26.8	26.8	NUM
cana-5375	119	13	3.2	3.2	NUM
cana-5375	119	14	n	n	CCONJ
cana-5375	119	15	/	/	SYM
cana-5375	119	16	a	a	DET
cana-5375	119	17	neurosymbolic	neurosymbolic	ADJ
cana-5375	119	18	model	model	NOUN
cana-5375	119	19	91.3	91.3	NUM
cana-5375	119	20	8.1	8.1	NUM
cana-5375	119	21	14.2	14.2	NUM
cana-5375	119	22	however	however	ADV
cana-5375	119	23	,	,	PUNCT
cana-5375	119	24	it	it	PRON
cana-5375	119	25	is	be	AUX
cana-5375	119	26	an	an	DET
cana-5375	119	27	added	add	VERB
cana-5375	119	28	8.1ms	8.1ms	PROPN
cana-5375	119	29	,	,	PUNCT
cana-5375	119	30	and	and	CCONJ
cana-5375	119	31	this	this	PRON
cana-5375	119	32	is	be	AUX
cana-5375	119	33	an	an	DET
cana-5375	119	34	acceptable	acceptable	ADJ
cana-5375	119	35	latency	latency	NOUN
cana-5375	119	36	for	for	ADP
cana-5375	119	37	most	most	ADJ
cana-5375	119	38	enterprise	enterprise	NOUN
cana-5375	119	39	grade	grade	NOUN
cana-5375	119	40	access	access	NOUN
cana-5375	119	41	control	control	NOUN
cana-5375	119	42	systems	system	NOUN
cana-5375	119	43	.	.	PUNCT
cana-5375	120	1	real	real	ADJ
cana-5375	120	2	time	time	NOUN
cana-5375	120	3	symbolic	symbolic	ADJ
cana-5375	120	4	correction	correction	NOUN
cana-5375	120	5	offered	offer	VERB
cana-5375	120	6	great	great	ADJ
cana-5375	120	7	benefits	benefit	NOUN
cana-5375	120	8	,	,	PUNCT
cana-5375	120	9	even	even	ADV
cana-5375	120	10	when	when	SCONJ
cana-5375	120	11	it	it	PRON
cana-5375	120	12	comes	come	VERB
cana-5375	120	13	at	at	ADP
cana-5375	120	14	the	the	DET
cana-5375	120	15	price	price	NOUN
cana-5375	120	16	of	of	ADP
cana-5375	120	17	minimal	minimal	ADJ
cana-5375	120	18	latency	latency	NOUN
cana-5375	120	19	,	,	PUNCT
cana-5375	120	20	especially	especially	ADV
cana-5375	120	21	in	in	ADP
cana-5375	120	22	fields	field	NOUN
cana-5375	120	23	that	that	PRON
cana-5375	120	24	have	have	VERB
cana-5375	120	25	higher	high	ADJ
cana-5375	120	26	requirements	requirement	NOUN
cana-5375	120	27	for	for	ADP
cana-5375	120	28	compliance	compliance	NOUN
cana-5375	120	29	such	such	ADJ
cana-5375	120	30	as	as	ADP
cana-5375	120	31	the	the	DET
cana-5375	120	32	finance	finance	NOUN
cana-5375	120	33	and	and	CCONJ
cana-5375	120	34	healthcare	healthcare	NOUN
cana-5375	120	35	industry	industry	NOUN
cana-5375	120	36	.	.	PUNCT
cana-5375	121	1	to	to	PART
cana-5375	121	2	understand	understand	VERB
cana-5375	121	3	the	the	DET
cana-5375	121	4	system	system	NOUN
cana-5375	121	5	’s	’s	PART
cana-5375	121	6	resilience	resilience	NOUN
cana-5375	121	7	even	even	ADV
cana-5375	121	8	more	more	ADV
cana-5375	121	9	,	,	PUNCT
cana-5375	121	10	an	an	DET
cana-5375	121	11	adversarial	adversarial	ADJ
cana-5375	121	12	red	red	ADJ
cana-5375	121	13	team	team	NOUN
cana-5375	121	14	simulation	simulation	NOUN
cana-5375	121	15	was	be	AUX
cana-5375	121	16	done	do	VERB
cana-5375	121	17	using	use	VERB
cana-5375	121	18	3,000	3,000	NUM
cana-5375	121	19	adversarial	adversarial	ADJ
cana-5375	121	20	access	access	NOUN
cana-5375	121	21	attempts	attempt	NOUN
cana-5375	121	22	spread	spread	VERB
cana-5375	121	23	across	across	ADP
cana-5375	121	24	variety	variety	NOUN
cana-5375	121	25	of	of	ADP
cana-5375	121	26	vectors	vector	NOUN
cana-5375	121	27	:	:	PUNCT
cana-5375	121	28	compromised	compromise	VERB
cana-5375	121	29	credentials	credential	NOUN
cana-5375	121	30	,	,	PUNCT
cana-5375	121	31	geo	geo	PROPN
cana-5375	121	32	location	location	NOUN
cana-5375	121	33	spoofing	spoofing	NOUN
cana-5375	121	34	,	,	PUNCT
cana-5375	121	35	session	session	NOUN
cana-5375	121	36	hijacking	hijacking	NOUN
cana-5375	121	37	,	,	PUNCT
cana-5375	121	38	etc	etc	X
cana-5375	121	39	.	.	X
cana-5375	122	1	the	the	DET
cana-5375	122	2	results	result	NOUN
cana-5375	122	3	showed	show	VERB
cana-5375	122	4	that	that	SCONJ
cana-5375	122	5	the	the	DET
cana-5375	122	6	neurosymbolic	neurosymbolic	ADJ
cana-5375	122	7	system	system	NOUN
cana-5375	122	8	was	be	AUX
cana-5375	122	9	able	able	ADJ
cana-5375	122	10	to	to	PART
cana-5375	122	11	detect	detect	VERB
cana-5375	122	12	and	and	CCONJ
cana-5375	122	13	stop	stop	VERB
cana-5375	122	14	97.5	97.5	NUM
cana-5375	122	15	percent	percent	NOUN
cana-5375	122	16	of	of	ADP
cana-5375	122	17	simulated	simulated	ADJ
cana-5375	122	18	adversary	adversary	NOUN
cana-5375	122	19	’s	’s	PART
cana-5375	122	20	actions	action	NOUN
cana-5375	122	21	versus	versus	ADP
cana-5375	122	22	88.4	88.4	NUM
cana-5375	122	23	percent	percent	NOUN
cana-5375	122	24	for	for	ADP
cana-5375	122	25	the	the	DET
cana-5375	122	26	neural	neural	ADJ
cana-5375	122	27	-	-	PUNCT
cana-5375	122	28	only	only	ADJ
cana-5375	122	29	model	model	NOUN
cana-5375	122	30	and	and	CCONJ
cana-5375	122	31	71.2	71.2	NUM
cana-5375	122	32	percent	percent	NOUN
cana-5375	122	33	for	for	ADP
cana-5375	122	34	the	the	DET
cana-5375	122	35	rbac	rbac	PROPN
cana-5375	122	36	system	system	NOUN
cana-5375	122	37	.	.	PUNCT
cana-5375	123	1	the	the	DET
cana-5375	123	2	breakdown	breakdown	ADJ
cana-5375	123	3	statistics	statistic	NOUN
cana-5375	123	4	for	for	ADP
cana-5375	123	5	the	the	DET
cana-5375	123	6	red	red	ADJ
cana-5375	123	7	team	team	NOUN
cana-5375	123	8	evaluation	evaluation	NOUN
cana-5375	123	9	are	be	AUX
cana-5375	123	10	provided	provide	VERB
cana-5375	123	11	in	in	ADP
cana-5375	123	12	table	table	NOUN
cana-5375	123	13	3	3	NUM
cana-5375	123	14	.	.	PUNCT
cana-5375	123	15	communications	communication	NOUN
cana-5375	123	16	on	on	ADP
cana-5375	123	17	applied	apply	VERB
cana-5375	123	18	nonlinear	nonlinear	ADJ
cana-5375	123	19	analysis	analysis	NOUN
cana-5375	123	20	issn	issn	NOUN
cana-5375	123	21	:	:	PUNCT
cana-5375	123	22	1074	1074	NUM
cana-5375	123	23	-	-	PUNCT
cana-5375	123	24	133x	133x	NUM
cana-5375	123	25	vol	vol	NOUN
cana-5375	123	26	31	31	NUM
cana-5375	123	27	no	no	NOUN
cana-5375	123	28	.	.	PUNCT
cana-5375	124	1	2s	2s	NUM
cana-5375	124	2	(	(	PUNCT
cana-5375	124	3	2024	2024	NUM
cana-5375	124	4	)	)	PUNCT
cana-5375	124	5	748	748	NUM
cana-5375	124	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	124	7	table	table	NOUN
cana-5375	124	8	3	3	NUM
cana-5375	124	9	:	:	PUNCT
cana-5375	124	10	adversarial	adversarial	ADJ
cana-5375	124	11	threat	threat	NOUN
cana-5375	124	12	detection	detection	NOUN
cana-5375	124	13	threat	threat	NOUN
cana-5375	124	14	scenario	scenario	NOUN
cana-5375	125	1	rbac	rbac	PROPN
cana-5375	125	2	detection	detection	PROPN
cana-5375	125	3	neural	neural	ADJ
cana-5375	125	4	-	-	PUNCT
cana-5375	125	5	only	only	ADV
cana-5375	125	6	detection	detection	NOUN
cana-5375	125	7	(	(	PUNCT
cana-5375	125	8	%	%	INTJ
cana-5375	125	9	)	)	PUNCT
cana-5375	125	10	neurosymbolic	neurosymbolic	ADJ
cana-5375	125	11	detection	detection	NOUN
cana-5375	125	12	(	(	PUNCT
cana-5375	125	13	%	%	INTJ
cana-5375	125	14	)	)	PUNCT
cana-5375	125	15	credential	credential	NOUN
cana-5375	125	16	stuffing	stuff	VERB
cana-5375	125	17	72.6	72.6	NUM
cana-5375	125	18	91.2	91.2	NUM
cana-5375	125	19	95.4	95.4	NUM
cana-5375	125	20	geo	geo	PROPN
cana-5375	125	21	-	-	PUNCT
cana-5375	125	22	spoofed	spoof	VERB
cana-5375	125	23	access	access	NOUN
cana-5375	125	24	68.9	68.9	NUM
cana-5375	125	25	87.1	87.1	NUM
cana-5375	125	26	96.1	96.1	NUM
cana-5375	125	27	dormant	dormant	ADJ
cana-5375	125	28	account	account	NOUN
cana-5375	125	29	abuse	abuse	NOUN
cana-5375	125	30	74.1	74.1	NUM
cana-5375	125	31	84.3	84.3	NUM
cana-5375	125	32	94.2	94.2	NUM
cana-5375	125	33	privilege	privilege	NOUN
cana-5375	125	34	escalation	escalation	NOUN
cana-5375	125	35	attempt	attempt	VERB
cana-5375	125	36	69.2	69.2	NUM
cana-5375	125	37	89.0	89.0	NUM
cana-5375	125	38	97.3	97.3	NUM
cana-5375	125	39	however	however	ADV
cana-5375	125	40	,	,	PUNCT
cana-5375	125	41	it	it	PRON
cana-5375	125	42	is	be	AUX
cana-5375	125	43	an	an	DET
cana-5375	125	44	added	add	VERB
cana-5375	125	45	8.1ms	8.1ms	PROPN
cana-5375	125	46	,	,	PUNCT
cana-5375	125	47	and	and	CCONJ
cana-5375	125	48	this	this	PRON
cana-5375	125	49	is	be	AUX
cana-5375	125	50	an	an	DET
cana-5375	125	51	acceptable	acceptable	ADJ
cana-5375	125	52	latency	latency	NOUN
cana-5375	125	53	for	for	ADP
cana-5375	125	54	most	most	ADJ
cana-5375	125	55	enterprise	enterprise	NOUN
cana-5375	125	56	grade	grade	NOUN
cana-5375	125	57	access	access	NOUN
cana-5375	125	58	control	control	NOUN
cana-5375	125	59	systems	system	NOUN
cana-5375	125	60	.	.	PUNCT
cana-5375	126	1	even	even	ADV
cana-5375	126	2	though	though	SCONJ
cana-5375	126	3	the	the	DET
cana-5375	126	4	minimal	minimal	ADJ
cana-5375	126	5	latency	latency	NOUN
cana-5375	126	6	tradeoff	tradeoff	NOUN
cana-5375	126	7	was	be	AUX
cana-5375	126	8	significant	significant	ADJ
cana-5375	126	9	,	,	PUNCT
cana-5375	126	10	its	its	PRON
cana-5375	126	11	benefit	benefit	NOUN
cana-5375	126	12	of	of	ADP
cana-5375	126	13	real	real	ADJ
cana-5375	126	14	time	time	NOUN
cana-5375	126	15	symbolic	symbolic	ADJ
cana-5375	126	16	correction	correction	NOUN
cana-5375	126	17	far	far	ADV
cana-5375	126	18	outweighed	outweigh	VERB
cana-5375	126	19	that	that	SCONJ
cana-5375	126	20	in	in	ADP
cana-5375	126	21	compliance	compliance	NOUN
cana-5375	126	22	sensitive	sensitive	ADJ
cana-5375	126	23	industries	industry	NOUN
cana-5375	126	24	such	such	ADJ
cana-5375	126	25	as	as	ADP
cana-5375	126	26	finance	finance	NOUN
cana-5375	126	27	and	and	CCONJ
cana-5375	126	28	healthcare	healthcare	NOUN
cana-5375	126	29	.	.	PUNCT
cana-5375	127	1	to	to	PART
cana-5375	127	2	understand	understand	VERB
cana-5375	127	3	the	the	DET
cana-5375	127	4	system	system	NOUN
cana-5375	127	5	’s	’s	PART
cana-5375	127	6	resilience	resilience	NOUN
cana-5375	127	7	even	even	ADV
cana-5375	127	8	more	more	ADV
cana-5375	127	9	,	,	PUNCT
cana-5375	127	10	an	an	DET
cana-5375	127	11	adversarial	adversarial	ADJ
cana-5375	127	12	red	red	ADJ
cana-5375	127	13	team	team	NOUN
cana-5375	127	14	simulation	simulation	NOUN
cana-5375	127	15	was	be	AUX
cana-5375	127	16	done	do	VERB
cana-5375	127	17	using	use	VERB
cana-5375	127	18	3,000	3,000	NUM
cana-5375	127	19	adversarial	adversarial	ADJ
cana-5375	127	20	access	access	NOUN
cana-5375	127	21	attempts	attempt	NOUN
cana-5375	127	22	spread	spread	VERB
cana-5375	127	23	across	across	ADP
cana-5375	127	24	variety	variety	NOUN
cana-5375	127	25	of	of	ADP
cana-5375	127	26	vectors	vector	NOUN
cana-5375	127	27	:	:	PUNCT
cana-5375	127	28	compromised	compromise	VERB
cana-5375	127	29	credentials	credential	NOUN
cana-5375	127	30	,	,	PUNCT
cana-5375	127	31	geo	geo	PROPN
cana-5375	127	32	location	location	NOUN
cana-5375	127	33	spoofing	spoofing	NOUN
cana-5375	127	34	,	,	PUNCT
cana-5375	127	35	session	session	NOUN
cana-5375	127	36	hijacking	hijacking	NOUN
cana-5375	127	37	,	,	PUNCT
cana-5375	127	38	etc	etc	X
cana-5375	127	39	.	.	X
cana-5375	127	40	results	result	NOUN
cana-5375	127	41	showed	show	VERB
cana-5375	127	42	that	that	SCONJ
cana-5375	127	43	the	the	DET
cana-5375	127	44	neurosymbolic	neurosymbolic	ADJ
cana-5375	127	45	system	system	NOUN
cana-5375	127	46	correctly	correctly	ADV
cana-5375	127	47	blocked	block	VERB
cana-5375	127	48	97.5	97.5	NUM
cana-5375	127	49	%	%	NOUN
cana-5375	127	50	of	of	ADP
cana-5375	127	51	simulated	simulate	VERB
cana-5375	127	52	adversarial	adversarial	ADJ
cana-5375	127	53	actions	action	NOUN
cana-5375	127	54	with	with	ADP
cana-5375	127	55	88.4	88.4	NUM
cana-5375	127	56	%	%	NOUN
cana-5375	127	57	success	success	NOUN
cana-5375	127	58	rate	rate	NOUN
cana-5375	127	59	on	on	ADP
cana-5375	127	60	neural	neural	ADJ
cana-5375	127	61	only	only	ADJ
cana-5375	127	62	model	model	NOUN
cana-5375	127	63	and	and	CCONJ
cana-5375	127	64	71.2	71.2	NUM
cana-5375	127	65	%	%	NOUN
cana-5375	127	66	on	on	ADP
cana-5375	127	67	rbac	rbac	NOUN
cana-5375	127	68	.	.	PUNCT
cana-5375	128	1	the	the	DET
cana-5375	128	2	breakdown	breakdown	ADJ
cana-5375	128	3	statistics	statistic	NOUN
cana-5375	128	4	for	for	ADP
cana-5375	128	5	the	the	DET
cana-5375	128	6	red	red	ADJ
cana-5375	128	7	team	team	NOUN
cana-5375	128	8	evaluation	evaluation	NOUN
cana-5375	128	9	are	be	AUX
cana-5375	128	10	provided	provide	VERB
cana-5375	128	11	in	in	ADP
cana-5375	128	12	table	table	NOUN
cana-5375	128	13	3	3	NUM
cana-5375	128	14	.	.	PUNCT
cana-5375	128	15	communications	communication	NOUN
cana-5375	128	16	on	on	ADP
cana-5375	128	17	applied	apply	VERB
cana-5375	128	18	nonlinear	nonlinear	ADJ
cana-5375	128	19	analysis	analysis	NOUN
cana-5375	128	20	issn	issn	NOUN
cana-5375	128	21	:	:	PUNCT
cana-5375	128	22	1074	1074	NUM
cana-5375	128	23	-	-	PUNCT
cana-5375	128	24	133x	133x	NUM
cana-5375	128	25	vol	vol	NOUN
cana-5375	128	26	31	31	NUM
cana-5375	128	27	no	no	NOUN
cana-5375	128	28	.	.	PUNCT
cana-5375	129	1	2s	2s	NUM
cana-5375	129	2	(	(	PUNCT
cana-5375	129	3	2024	2024	NUM
cana-5375	129	4	)	)	PUNCT
cana-5375	129	5	749	749	NUM
cana-5375	129	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	129	7	table	table	NOUN
cana-5375	129	8	4	4	NUM
cana-5375	129	9	:	:	PUNCT
cana-5375	129	10	cross	cross	ADJ
cana-5375	129	11	-	-	ADJ
cana-5375	129	12	tenant	tenant	ADJ
cana-5375	129	13	generalization	generalization	NOUN
cana-5375	129	14	evaluation	evaluation	NOUN
cana-5375	129	15	scenario	scenario	NOUN
cana-5375	129	16	neural	neural	ADJ
cana-5375	129	17	-	-	PUNCT
cana-5375	129	18	only	only	ADJ
cana-5375	129	19	accuracy	accuracy	NOUN
cana-5375	129	20	neurosymbolic	neurosymbolic	ADJ
cana-5375	129	21	accuracy	accuracy	NOUN
cana-5375	129	22	same	same	ADJ
cana-5375	129	23	tenant	tenant	NOUN
cana-5375	129	24	(	(	PUNCT
cana-5375	129	25	train	train	NOUN
cana-5375	129	26	/	/	SYM
cana-5375	129	27	test	test	NOUN
cana-5375	129	28	)	)	PUNCT
cana-5375	129	29	90.3	90.3	NUM
cana-5375	129	30	94.1	94.1	NUM
cana-5375	129	31	different	different	ADJ
cana-5375	129	32	tenant	tenant	NOUN
cana-5375	129	33	(	(	PUNCT
cana-5375	129	34	transfer	transfer	NOUN
cana-5375	129	35	)	)	PUNCT
cana-5375	129	36	81.9	81.9	NUM
cana-5375	129	37	89.7	89.7	NUM
cana-5375	129	38	this	this	PRON
cana-5375	129	39	illustrates	illustrate	VERB
cana-5375	129	40	the	the	DET
cana-5375	129	41	fact	fact	NOUN
cana-5375	129	42	that	that	SCONJ
cana-5375	129	43	extendability	extendability	NOUN
cana-5375	129	44	,	,	PUNCT
cana-5375	129	45	compliance	compliance	NOUN
cana-5375	129	46	,	,	PUNCT
cana-5375	129	47	and	and	CCONJ
cana-5375	129	48	explainability	explainability	NOUN
cana-5375	129	49	of	of	ADP
cana-5375	129	50	symbolic	symbolic	ADJ
cana-5375	129	51	layer	layer	NOUN
cana-5375	129	52	not	not	PART
cana-5375	129	53	only	only	ADV
cana-5375	129	54	aids	aid	NOUN
cana-5375	129	55	in	in	ADP
cana-5375	129	56	generalizing	generalize	VERB
cana-5375	129	57	model	model	NOUN
cana-5375	129	58	predictions	prediction	NOUN
cana-5375	129	59	even	even	ADV
cana-5375	129	60	under	under	ADP
cana-5375	129	61	domain	domain	NOUN
cana-5375	129	62	shift	shift	NOUN
cana-5375	129	63	,	,	PUNCT
cana-5375	129	64	but	but	CCONJ
cana-5375	129	65	also	also	ADV
cana-5375	129	66	help	help	VERB
cana-5375	129	67	in	in	ADP
cana-5375	129	68	hybrid	hybrid	ADJ
cana-5375	129	69	and	and	CCONJ
cana-5375	129	70	multi	multi	ADJ
cana-5375	129	71	-	-	ADJ
cana-5375	129	72	cloud	cloud	ADJ
cana-5375	129	73	security	security	NOUN
cana-5375	129	74	deployments	deployment	NOUN
cana-5375	129	75	.	.	PUNCT
cana-5375	130	1	overall	overall	ADV
cana-5375	130	2	,	,	PUNCT
cana-5375	130	3	these	these	DET
cana-5375	130	4	results	result	NOUN
cana-5375	130	5	show	show	VERB
cana-5375	130	6	that	that	SCONJ
cana-5375	130	7	measuring	measure	VERB
cana-5375	130	8	the	the	DET
cana-5375	130	9	benefits	benefit	NOUN
cana-5375	130	10	of	of	ADP
cana-5375	130	11	using	use	VERB
cana-5375	130	12	other	other	ADJ
cana-5375	130	13	inputs	input	NOUN
cana-5375	130	14	than	than	ADP
cana-5375	130	15	strictly	strictly	ADV
cana-5375	130	16	neural	neural	ADJ
cana-5375	130	17	systems	system	NOUN
cana-5375	130	18	to	to	ADP
cana-5375	130	19	the	the	DET
cana-5375	130	20	policy	policy	NOUN
cana-5375	130	21	generation	generation	NOUN
cana-5375	130	22	is	be	AUX
cana-5375	130	23	promising	promise	VERB
cana-5375	130	24	in	in	ADP
cana-5375	130	25	operational	operational	ADJ
cana-5375	130	26	performance	performance	NOUN
cana-5375	130	27	and	and	CCONJ
cana-5375	130	28	security	security	NOUN
cana-5375	130	29	assurance	assurance	NOUN
cana-5375	130	30	.	.	PUNCT
cana-5375	131	1	this	this	PRON
cana-5375	131	2	was	be	AUX
cana-5375	131	3	done	do	VERB
cana-5375	131	4	by	by	ADP
cana-5375	131	5	having	have	VERB
cana-5375	131	6	12	12	NUM
cana-5375	131	7	cloud	cloud	NOUN
cana-5375	131	8	security	security	NOUN
cana-5375	131	9	engineers	engineer	NOUN
cana-5375	131	10	perform	perform	VERB
cana-5375	131	11	a	a	DET
cana-5375	131	12	qualitative	qualitative	ADJ
cana-5375	131	13	feedback	feedback	NOUN
cana-5375	131	14	survey	survey	NOUN
cana-5375	131	15	of	of	ADP
cana-5375	131	16	12	12	NUM
cana-5375	131	17	models	model	NOUN
cana-5375	131	18	with	with	ADP
cana-5375	131	19	anonymized	anonymize	VERB
cana-5375	131	20	policy	policy	NOUN
cana-5375	131	21	traces	trace	NOUN
cana-5375	131	22	from	from	ADP
cana-5375	131	23	each	each	PRON
cana-5375	131	24	.	.	PUNCT
cana-5375	132	1	in	in	ADP
cana-5375	132	2	gaining	gain	VERB
cana-5375	132	3	the	the	DET
cana-5375	132	4	clearest	clear	ADJ
cana-5375	132	5	explanations	explanation	NOUN
cana-5375	132	6	and	and	CCONJ
cana-5375	132	7	context	context	VERB
cana-5375	132	8	specific	specific	ADJ
cana-5375	132	9	reasoning	reasoning	NOUN
cana-5375	132	10	(	(	PUNCT
cana-5375	132	11	10/12	10/12	NUM
cana-5375	132	12	solved	solve	VERB
cana-5375	132	13	it	it	PRON
cana-5375	132	14	for	for	ADP
cana-5375	132	15	the	the	DET
cana-5375	132	16	neurosymbolic	neurosymbolic	ADJ
cana-5375	132	17	model	model	NOUN
cana-5375	132	18	)	)	PUNCT
cana-5375	132	19	.	.	PUNCT
cana-5375	133	1	they	they	PRON
cana-5375	133	2	were	be	AUX
cana-5375	133	3	able	able	ADJ
cana-5375	133	4	to	to	PART
cana-5375	133	5	identify	identify	VERB
cana-5375	133	6	flawed	flawed	ADJ
cana-5375	133	7	access	access	NOUN
cana-5375	133	8	patterns	pattern	NOUN
cana-5375	133	9	more	more	ADV
cana-5375	133	10	easily	easily	ADV
cana-5375	133	11	and	and	CCONJ
cana-5375	133	12	enhance	enhance	VERB
cana-5375	133	13	auditability	auditability	NOUN
cana-5375	133	14	and	and	CCONJ
cana-5375	133	15	incident	incident	NOUN
cana-5375	133	16	response	response	NOUN
cana-5375	133	17	when	when	SCONJ
cana-5375	133	18	the	the	DET
cana-5375	133	19	symbolic	symbolic	ADJ
cana-5375	133	20	traces	trace	NOUN
cana-5375	133	21	were	be	AUX
cana-5375	133	22	noted	note	VERB
cana-5375	133	23	by	by	ADP
cana-5375	133	24	engineers	engineer	NOUN
cana-5375	133	25	.	.	PUNCT
cana-5375	134	1	these	these	DET
cana-5375	134	2	insights	insight	NOUN
cana-5375	134	3	are	be	AUX
cana-5375	134	4	that	that	SCONJ
cana-5375	134	5	neurosymbolic	neurosymbolic	ADJ
cana-5375	134	6	systems	system	NOUN
cana-5375	134	7	not	not	PART
cana-5375	134	8	only	only	ADV
cana-5375	134	9	have	have	VERB
cana-5375	134	10	better	well	ADJ
cana-5375	134	11	technical	technical	ADJ
cana-5375	134	12	performance	performance	NOUN
cana-5375	134	13	than	than	ADP
cana-5375	134	14	solely	solely	ADV
cana-5375	134	15	technical	technical	ADJ
cana-5375	134	16	intelligence	intelligence	NOUN
cana-5375	134	17	,	,	PUNCT
cana-5375	134	18	but	but	CCONJ
cana-5375	134	19	they	they	PRON
cana-5375	134	20	also	also	ADV
cana-5375	134	21	match	match	VERB
cana-5375	134	22	the	the	DET
cana-5375	134	23	human	human	ADJ
cana-5375	134	24	-	-	PUNCT
cana-5375	134	25	centric	centric	ADJ
cana-5375	134	26	governance	governance	NOUN
cana-5375	134	27	workflows	workflow	NOUN
cana-5375	134	28	.	.	PUNCT
cana-5375	135	1	the	the	DET
cana-5375	135	2	neurosymbolic	neurosymbolic	ADJ
cana-5375	135	3	policy	policy	NOUN
cana-5375	135	4	engine	engine	NOUN
cana-5375	135	5	makes	make	VERB
cana-5375	135	6	an	an	DET
cana-5375	135	7	important	important	ADJ
cana-5375	135	8	step	step	NOUN
cana-5375	135	9	in	in	ADP
cana-5375	135	10	secure	secure	ADJ
cana-5375	135	11	,	,	PUNCT
cana-5375	135	12	flexible	flexible	ADJ
cana-5375	135	13	and	and	CCONJ
cana-5375	135	14	explainable	explainable	ADJ
cana-5375	135	15	access	access	NOUN
cana-5375	135	16	control	control	NOUN
cana-5375	135	17	in	in	ADP
cana-5375	135	18	the	the	DET
cana-5375	135	19	cloud	cloud	ADJ
cana-5375	135	20	native	native	ADJ
cana-5375	135	21	environments	environment	NOUN
cana-5375	135	22	.	.	PUNCT
cana-5375	136	1	it	it	PRON
cana-5375	136	2	uses	use	VERB
cana-5375	136	3	deep	deep	ADJ
cana-5375	136	4	learning	learning	NOUN
cana-5375	136	5	to	to	PART
cana-5375	136	6	learn	learn	VERB
cana-5375	136	7	about	about	ADP
cana-5375	136	8	context	context	NOUN
cana-5375	136	9	,	,	PUNCT
cana-5375	136	10	and	and	CCONJ
cana-5375	136	11	at	at	ADP
cana-5375	136	12	the	the	DET
cana-5375	136	13	same	same	ADJ
cana-5375	136	14	time	time	NOUN
cana-5375	136	15	,	,	PUNCT
cana-5375	136	16	symbolic	symbolic	ADJ
cana-5375	136	17	logic	logic	NOUN
cana-5375	136	18	to	to	PART
cana-5375	136	19	enforce	enforce	VERB
cana-5375	136	20	non	non	ADJ
cana-5375	136	21	-	-	ADJ
cana-5375	136	22	negotiable	negotiable	ADJ
cana-5375	136	23	safety	safety	NOUN
cana-5375	136	24	constraints	constraint	NOUN
cana-5375	136	25	as	as	ADV
cana-5375	136	26	well	well	ADV
cana-5375	136	27	as	as	ADP
cana-5375	136	28	regulatory	regulatory	ADJ
cana-5375	136	29	mandates	mandate	NOUN
cana-5375	136	30	.	.	PUNCT
cana-5375	137	1	communications	communication	NOUN
cana-5375	137	2	on	on	ADP
cana-5375	137	3	applied	apply	VERB
cana-5375	137	4	nonlinear	nonlinear	ADJ
cana-5375	137	5	analysis	analysis	NOUN
cana-5375	137	6	issn	issn	NOUN
cana-5375	137	7	:	:	PUNCT
cana-5375	137	8	1074	1074	NUM
cana-5375	137	9	-	-	PUNCT
cana-5375	137	10	133x	133x	NUM
cana-5375	137	11	vol	vol	NOUN
cana-5375	137	12	31	31	NUM
cana-5375	137	13	no	no	NOUN
cana-5375	137	14	.	.	PUNCT
cana-5375	138	1	2s	2s	NUM
cana-5375	138	2	(	(	PUNCT
cana-5375	138	3	2024	2024	NUM
cana-5375	138	4	)	)	PUNCT
cana-5375	138	5	750	750	NUM
cana-5375	138	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	138	7	the	the	DET
cana-5375	138	8	system	system	NOUN
cana-5375	138	9	's	's	PART
cana-5375	138	10	balance	balance	NOUN
cana-5375	138	11	between	between	ADP
cana-5375	138	12	flexibility	flexibility	NOUN
cana-5375	138	13	and	and	CCONJ
cana-5375	138	14	reliability	reliability	NOUN
cana-5375	138	15	is	be	AUX
cana-5375	138	16	achieved	achieve	VERB
cana-5375	138	17	by	by	ADP
cana-5375	138	18	combining	combine	VERB
cana-5375	138	19	statistical	statistical	ADJ
cana-5375	138	20	and	and	CCONJ
cana-5375	138	21	logical	logical	ADJ
cana-5375	138	22	inference	inference	NOUN
cana-5375	138	23	,	,	PUNCT
cana-5375	138	24	which	which	PRON
cana-5375	138	25	is	be	AUX
cana-5375	138	26	not	not	PART
cana-5375	138	27	currently	currently	ADV
cana-5375	138	28	done	do	VERB
cana-5375	138	29	by	by	ADP
cana-5375	138	30	any	any	PRON
cana-5375	138	31	of	of	ADP
cana-5375	138	32	the	the	DET
cana-5375	138	33	isolated	isolated	ADJ
cana-5375	138	34	approaches	approach	NOUN
cana-5375	138	35	.	.	PUNCT
cana-5375	139	1	it	it	PRON
cana-5375	139	2	is	be	AUX
cana-5375	139	3	possible	possible	ADJ
cana-5375	139	4	future	future	ADJ
cana-5375	139	5	work	work	NOUN
cana-5375	139	6	may	may	AUX
cana-5375	139	7	evolve	evolve	VERB
cana-5375	139	8	this	this	DET
cana-5375	139	9	model	model	NOUN
cana-5375	139	10	to	to	PART
cana-5375	139	11	incorporate	incorporate	VERB
cana-5375	139	12	reinforcement	reinforcement	NOUN
cana-5375	139	13	learning	learning	NOUN
cana-5375	139	14	of	of	ADP
cana-5375	139	15	policy	policy	NOUN
cana-5375	139	16	in	in	ADP
cana-5375	139	17	a	a	DET
cana-5375	139	18	continual	continual	ADJ
cana-5375	139	19	setting	setting	NOUN
cana-5375	139	20	.	.	PUNCT
cana-5375	140	1	5	5	X
cana-5375	140	2	.	.	X
cana-5375	140	3	improvements	improvement	NOUN
cana-5375	140	4	in	in	ADP
cana-5375	140	5	the	the	DET
cana-5375	140	6	model	model	NOUN
cana-5375	140	7	5.1	5.1	NUM
cana-5375	140	8	enterprise	enterprise	NOUN
cana-5375	140	9	cloud	cloud	NOUN
cana-5375	140	10	security	security	NOUN
cana-5375	140	11	based	base	VERB
cana-5375	140	12	on	on	ADP
cana-5375	140	13	these	these	DET
cana-5375	140	14	findings	finding	NOUN
cana-5375	140	15	,	,	PUNCT
cana-5375	140	16	if	if	SCONJ
cana-5375	140	17	there	there	PRON
cana-5375	140	18	is	be	VERB
cana-5375	140	19	a	a	DET
cana-5375	140	20	need	need	NOUN
cana-5375	140	21	for	for	SCONJ
cana-5375	140	22	organizations	organization	NOUN
cana-5375	140	23	to	to	PART
cana-5375	140	24	implement	implement	VERB
cana-5375	140	25	better	well	ADJ
cana-5375	140	26	cybersecurity	cybersecurity	NOUN
cana-5375	140	27	posture	posture	NOUN
cana-5375	140	28	in	in	ADP
cana-5375	140	29	a	a	DET
cana-5375	140	30	hybrid	hybrid	ADJ
cana-5375	140	31	cloud	cloud	NOUN
cana-5375	140	32	environment	environment	NOUN
cana-5375	140	33	,	,	PUNCT
cana-5375	140	34	to	to	PART
cana-5375	140	35	start	start	VERB
cana-5375	140	36	they	they	PRON
cana-5375	140	37	can	can	AUX
cana-5375	140	38	be	be	AUX
cana-5375	140	39	able	able	ADJ
cana-5375	140	40	to	to	PART
cana-5375	140	41	bypass	bypass	VERB
cana-5375	140	42	the	the	DET
cana-5375	140	43	operationalizing	operationalizing	NOUN
cana-5375	140	44	of	of	ADP
cana-5375	140	45	a	a	DET
cana-5375	140	46	neurosymbolic	neurosymbolic	ADJ
cana-5375	140	47	ai	ai	PROPN
cana-5375	140	48	pipeline	pipeline	NOUN
cana-5375	140	49	,	,	PUNCT
cana-5375	140	50	which	which	PRON
cana-5375	140	51	incorporates	incorporate	VERB
cana-5375	140	52	a	a	DET
cana-5375	140	53	deep	deep	ADJ
cana-5375	140	54	learning	learning	NOUN
cana-5375	140	55	for	for	ADP
cana-5375	140	56	pattern	pattern	NOUN
cana-5375	140	57	recognition	recognition	NOUN
cana-5375	140	58	and	and	CCONJ
cana-5375	140	59	symbolic	symbolic	ADJ
cana-5375	140	60	reasoning	reasoning	NOUN
cana-5375	140	61	for	for	ADP
cana-5375	140	62	policy	policy	NOUN
cana-5375	140	63	inference	inference	NOUN
cana-5375	140	64	.	.	PUNCT
cana-5375	141	1	the	the	DET
cana-5375	141	2	neural	neural	ADJ
cana-5375	141	3	component	component	NOUN
cana-5375	141	4	,	,	PUNCT
cana-5375	141	5	however	however	ADV
cana-5375	141	6	,	,	PUNCT
cana-5375	141	7	should	should	AUX
cana-5375	141	8	be	be	AUX
cana-5375	141	9	first	first	ADV
cana-5375	141	10	integrated	integrate	VERB
cana-5375	141	11	for	for	ADP
cana-5375	141	12	the	the	DET
cana-5375	141	13	purpose	purpose	NOUN
cana-5375	141	14	of	of	ADP
cana-5375	141	15	enterprises	enterprise	NOUN
cana-5375	141	16	to	to	PART
cana-5375	141	17	prioritize	prioritize	AUX
cana-5375	141	18	integrating	integrate	VERB
cana-5375	141	19	contextual	contextual	ADJ
cana-5375	141	20	data	datum	NOUN
cana-5375	141	21	sources	source	NOUN
cana-5375	141	22	(	(	PUNCT
cana-5375	141	23	iam	iam	PROPN
cana-5375	141	24	logs	log	NOUN
cana-5375	141	25	,	,	PUNCT
cana-5375	141	26	network	network	NOUN
cana-5375	141	27	topology	topology	NOUN
cana-5375	141	28	,	,	PUNCT
cana-5375	141	29	anomalous	anomalous	ADJ
cana-5375	141	30	access	access	NOUN
cana-5375	141	31	behavior	behavior	NOUN
cana-5375	141	32	,	,	PUNCT
cana-5375	141	33	and	and	CCONJ
cana-5375	141	34	compliance	compliance	NOUN
cana-5375	141	35	metadata	metadata	NOUN
cana-5375	141	36	)	)	PUNCT
cana-5375	141	37	.	.	PUNCT
cana-5375	142	1	design	design	NOUN
cana-5375	142	2	of	of	ADP
cana-5375	142	3	the	the	DET
cana-5375	142	4	symbolic	symbolic	ADJ
cana-5375	142	5	layer	layer	NOUN
cana-5375	142	6	is	be	AUX
cana-5375	142	7	done	do	VERB
cana-5375	142	8	carefully	carefully	ADV
cana-5375	142	9	to	to	PART
cana-5375	142	10	encode	encode	VERB
cana-5375	142	11	compliance	compliance	NOUN
cana-5375	142	12	requirements	requirement	NOUN
cana-5375	142	13	,	,	PUNCT
cana-5375	142	14	rbac	rbac	NOUN
cana-5375	142	15	,	,	PUNCT
cana-5375	142	16	abac	abac	ADJ
cana-5375	142	17	or	or	CCONJ
cana-5375	142	18	other	other	ADJ
cana-5375	142	19	similar	similar	ADJ
cana-5375	142	20	access	access	NOUN
cana-5375	142	21	control	control	NOUN
cana-5375	142	22	policies	policy	NOUN
cana-5375	142	23	,	,	PUNCT
cana-5375	142	24	as	as	ADV
cana-5375	142	25	well	well	ADV
cana-5375	142	26	as	as	ADP
cana-5375	142	27	industry	industry	NOUN
cana-5375	142	28	specific	specific	ADJ
cana-5375	142	29	governance	governance	NOUN
cana-5375	142	30	standards	standard	NOUN
cana-5375	142	31	such	such	ADJ
cana-5375	142	32	as	as	ADP
cana-5375	142	33	hipaa	hipaa	NOUN
cana-5375	142	34	,	,	PUNCT
cana-5375	142	35	gdpr	gdpr	NOUN
cana-5375	142	36	,	,	PUNCT
cana-5375	142	37	iso	iso	NOUN
cana-5375	142	38	27001	27001	NUM
cana-5375	142	39	,	,	PUNCT
cana-5375	142	40	etc	etc	X
cana-5375	142	41	.	.	X
cana-5375	143	1	the	the	DET
cana-5375	143	2	double	double	ADJ
cana-5375	143	3	modeling	modeling	NOUN
cana-5375	143	4	is	be	AUX
cana-5375	143	5	guaranteed	guarantee	VERB
cana-5375	143	6	to	to	PART
cana-5375	143	7	create	create	VERB
cana-5375	143	8	not	not	PART
cana-5375	143	9	only	only	ADV
cana-5375	143	10	security	security	NOUN
cana-5375	143	11	policies	policy	NOUN
cana-5375	143	12	,	,	PUNCT
cana-5375	143	13	but	but	CCONJ
cana-5375	143	14	also	also	ADV
cana-5375	143	15	that	that	SCONJ
cana-5375	143	16	they	they	PRON
cana-5375	143	17	remain	remain	VERB
cana-5375	143	18	interpretable	interpretable	ADJ
cana-5375	143	19	and	and	CCONJ
cana-5375	143	20	auditable	auditable	ADJ
cana-5375	143	21	in	in	ADP
cana-5375	143	22	that	that	DET
cana-5375	143	23	critical	critical	ADJ
cana-5375	143	24	need	need	NOUN
cana-5375	143	25	of	of	ADP
cana-5375	143	26	transparency	transparency	NOUN
cana-5375	143	27	for	for	ADP
cana-5375	143	28	high	high	ADJ
cana-5375	143	29	stakes	stake	NOUN
cana-5375	143	30	environments	environment	NOUN
cana-5375	143	31	.	.	PUNCT
cana-5375	144	1	a	a	DET
cana-5375	144	2	staged	stage	VERB
cana-5375	144	3	deployment	deployment	NOUN
cana-5375	144	4	architecture	architecture	NOUN
cana-5375	144	5	will	will	AUX
cana-5375	144	6	also	also	ADV
cana-5375	144	7	be	be	AUX
cana-5375	144	8	adopted	adopt	VERB
cana-5375	144	9	by	by	ADP
cana-5375	144	10	the	the	DET
cana-5375	144	11	organization	organization	NOUN
cana-5375	144	12	.	.	PUNCT
cana-5375	145	1	in	in	ADP
cana-5375	145	2	the	the	DET
cana-5375	145	3	first	first	ADJ
cana-5375	145	4	phase	phase	NOUN
cana-5375	145	5	,	,	PUNCT
cana-5375	145	6	the	the	DET
cana-5375	145	7	neurosymbolic	neurosymbolic	ADJ
cana-5375	145	8	models	model	NOUN
cana-5375	145	9	should	should	AUX
cana-5375	145	10	run	run	VERB
cana-5375	145	11	in	in	ADP
cana-5375	145	12	simulation	simulation	NOUN
cana-5375	145	13	or	or	CCONJ
cana-5375	145	14	shadow	shadow	NOUN
cana-5375	145	15	modes	mode	NOUN
cana-5375	145	16	(	(	PUNCT
cana-5375	145	17	generating	generate	VERB
cana-5375	145	18	policies	policy	NOUN
cana-5375	145	19	while	while	SCONJ
cana-5375	145	20	human	human	ADJ
cana-5375	145	21	operators	operator	NOUN
cana-5375	145	22	keep	keep	VERB
cana-5375	145	23	performing	perform	VERB
cana-5375	145	24	manual	manual	ADJ
cana-5375	145	25	enforcement	enforcement	NOUN
cana-5375	145	26	)	)	PUNCT
cana-5375	145	27	.	.	PUNCT
cana-5375	146	1	it	it	PRON
cana-5375	146	2	enables	enable	VERB
cana-5375	146	3	the	the	DET
cana-5375	146	4	verification	verification	NOUN
cana-5375	146	5	of	of	ADP
cana-5375	146	6	the	the	DET
cana-5375	146	7	ai	ai	ADJ
cana-5375	146	8	outputs	output	NOUN
cana-5375	146	9	vs	vs	ADP
cana-5375	146	10	this	this	DET
cana-5375	146	11	known	know	VERB
cana-5375	146	12	threat	threat	NOUN
cana-5375	146	13	models	model	NOUN
cana-5375	146	14	and	and	CCONJ
cana-5375	146	15	existing	exist	VERB
cana-5375	146	16	governance	governance	NOUN
cana-5375	146	17	rules	rule	NOUN
cana-5375	146	18	.	.	PUNCT
cana-5375	147	1	however	however	ADV
cana-5375	147	2	,	,	PUNCT
cana-5375	147	3	as	as	ADV
cana-5375	147	4	soon	soon	ADV
cana-5375	147	5	as	as	SCONJ
cana-5375	147	6	testing	testing	NOUN
cana-5375	147	7	is	be	AUX
cana-5375	147	8	sufficiently	sufficiently	ADV
cana-5375	147	9	confident	confident	ADJ
cana-5375	147	10	enough	enough	ADV
cana-5375	147	11	,	,	PUNCT
cana-5375	147	12	namely	namely	ADV
cana-5375	147	13	accounting	account	VERB
cana-5375	147	14	for	for	ADP
cana-5375	147	15	precision	precision	NOUN
cana-5375	147	16	,	,	PUNCT
cana-5375	147	17	recall	recall	NOUN
cana-5375	147	18	,	,	PUNCT
cana-5375	147	19	false	false	ADJ
cana-5375	147	20	positive	positive	ADJ
cana-5375	147	21	,	,	PUNCT
cana-5375	147	22	false	false	ADJ
cana-5375	147	23	negative	negative	ADJ
cana-5375	147	24	rates	rate	NOUN
cana-5375	147	25	and	and	CCONJ
cana-5375	147	26	explanatory	explanatory	ADJ
cana-5375	147	27	indices	index	NOUN
cana-5375	147	28	,	,	PUNCT
cana-5375	147	29	the	the	DET
cana-5375	147	30	models	model	NOUN
cana-5375	147	31	can	can	AUX
cana-5375	147	32	be	be	AUX
cana-5375	147	33	moved	move	VERB
cana-5375	147	34	to	to	ADP
cana-5375	147	35	production	production	NOUN
cana-5375	147	36	environments	environment	NOUN
cana-5375	147	37	under	under	ADP
cana-5375	147	38	continuous	continuous	ADJ
cana-5375	147	39	monitoring	monitoring	NOUN
cana-5375	147	40	.	.	PUNCT
cana-5375	148	1	a	a	DET
cana-5375	148	2	real	real	ADJ
cana-5375	148	3	time	time	NOUN
cana-5375	148	4	feedback	feedback	NOUN
cana-5375	148	5	loop	loop	NOUN
cana-5375	148	6	is	be	AUX
cana-5375	148	7	required	require	VERB
cana-5375	148	8	wherein	wherein	SCONJ
cana-5375	148	9	the	the	DET
cana-5375	148	10	model	model	NOUN
cana-5375	148	11	retraining	retrain	VERB
cana-5375	148	12	from	from	ADP
cana-5375	148	13	real	real	ADJ
cana-5375	148	14	time	time	NOUN
cana-5375	148	15	incident	incident	NOUN
cana-5375	148	16	logs	log	NOUN
cana-5375	148	17	and	and	CCONJ
cana-5375	148	18	compliance	compliance	NOUN
cana-5375	148	19	audit	audit	NOUN
cana-5375	148	20	outcomes	outcome	NOUN
cana-5375	148	21	must	must	AUX
cana-5375	148	22	be	be	AUX
cana-5375	148	23	coupled	couple	VERB
cana-5375	148	24	to	to	ADP
cana-5375	148	25	this	this	DET
cana-5375	148	26	adaptive	adaptive	ADJ
cana-5375	148	27	feedback	feedback	NOUN
cana-5375	148	28	loop	loop	NOUN
cana-5375	148	29	.	.	PUNCT
cana-5375	149	1	in	in	ADP
cana-5375	149	2	dynamic	dynamic	ADJ
cana-5375	149	3	cloud	cloud	NOUN
cana-5375	149	4	settings	setting	NOUN
cana-5375	149	5	,	,	PUNCT
cana-5375	149	6	the	the	DET
cana-5375	149	7	feedback	feedback	NOUN
cana-5375	149	8	system	system	NOUN
cana-5375	149	9	will	will	AUX
cana-5375	149	10	enhance	enhance	VERB
cana-5375	149	11	both	both	DET
cana-5375	149	12	accuracy	accuracy	NOUN
cana-5375	149	13	and	and	CCONJ
cana-5375	149	14	relevance	relevance	NOUN
cana-5375	149	15	of	of	ADP
cana-5375	149	16	generated	generate	VERB
cana-5375	149	17	policies	policy	NOUN
cana-5375	149	18	.	.	PUNCT
cana-5375	150	1	simultaneously	simultaneously	ADV
cana-5375	150	2	,	,	PUNCT
cana-5375	150	3	both	both	PRON
cana-5375	150	4	should	should	AUX
cana-5375	150	5	be	be	AUX
cana-5375	150	6	coordinated	coordinate	VERB
cana-5375	150	7	with	with	SCONJ
cana-5375	150	8	the	the	DET
cana-5375	150	9	ai	ai	NOUN
cana-5375	150	10	/	/	SYM
cana-5375	150	11	ml	ml	NOUN
cana-5375	150	12	teams	team	NOUN
cana-5375	150	13	to	to	PART
cana-5375	150	14	outline	outline	VERB
cana-5375	150	15	the	the	DET
cana-5375	150	16	domain	domain	NOUN
cana-5375	150	17	specific	specific	ADJ
cana-5375	150	18	ontologies	ontology	NOUN
cana-5375	150	19	and	and	CCONJ
cana-5375	150	20	security	security	NOUN
cana-5375	150	21	rule	rule	NOUN
cana-5375	150	22	grammars	grammar	VERB
cana-5375	150	23	the	the	DET
cana-5375	150	24	symbolic	symbolic	ADJ
cana-5375	150	25	component	component	NOUN
cana-5375	150	26	can	can	AUX
cana-5375	150	27	use	use	VERB
cana-5375	150	28	.	.	PUNCT
cana-5375	151	1	therefore	therefore	ADV
cana-5375	151	2	,	,	PUNCT
cana-5375	151	3	for	for	ADP
cana-5375	151	4	instance	instance	NOUN
cana-5375	151	5	,	,	PUNCT
cana-5375	151	6	a	a	DET
cana-5375	151	7	semantic	semantic	ADJ
cana-5375	151	8	graph	graph	NOUN
cana-5375	151	9	of	of	ADP
cana-5375	151	10	permissible	permissible	ADJ
cana-5375	151	11	calls	call	NOUN
cana-5375	151	12	to	to	ADP
cana-5375	151	13	cloud	cloud	PROPN
cana-5375	151	14	api	api	NOUN
cana-5375	151	15	,	,	PUNCT
cana-5375	151	16	data	datum	NOUN
cana-5375	151	17	egress	egress	NOUN
cana-5375	151	18	patterns	pattern	NOUN
cana-5375	151	19	and	and	CCONJ
cana-5375	151	20	role	role	NOUN
cana-5375	151	21	hierarchy	hierarchy	NOUN
cana-5375	151	22	rules	rule	NOUN
cana-5375	151	23	can	can	AUX
cana-5375	151	24	be	be	AUX
cana-5375	151	25	used	use	VERB
cana-5375	151	26	to	to	PART
cana-5375	151	27	restrict	restrict	VERB
cana-5375	151	28	the	the	DET
cana-5375	151	29	symbolic	symbolic	ADJ
cana-5375	151	30	reasoning	reasoning	NOUN
cana-5375	151	31	space	space	NOUN
cana-5375	151	32	and	and	CCONJ
cana-5375	151	33	prevent	prevent	VERB
cana-5375	151	34	unsafe	unsafe	ADJ
cana-5375	151	35	policy	policy	NOUN
cana-5375	151	36	inference	inference	NOUN
cana-5375	151	37	.	.	PUNCT
cana-5375	152	1	to	to	PART
cana-5375	152	2	have	have	VERB
cana-5375	152	3	this	this	PRON
cana-5375	152	4	possible	possible	ADJ
cana-5375	152	5	,	,	PUNCT
cana-5375	152	6	enterprises	enterprise	NOUN
cana-5375	152	7	must	must	AUX
cana-5375	152	8	also	also	ADV
cana-5375	152	9	abstract	abstract	VERB
cana-5375	152	10	common	common	ADJ
cana-5375	152	11	security	security	NOUN
cana-5375	152	12	intents	intent	NOUN
cana-5375	152	13	to	to	PART
cana-5375	152	14	reusable	reusable	VERB
cana-5375	152	15	symbolic	symbolic	ADJ
cana-5375	152	16	templates	template	NOUN
cana-5375	152	17	and	and	CCONJ
cana-5375	152	18	ensure	ensure	VERB
cana-5375	152	19	cross	cross	NOUN
cana-5375	152	20	platform	platform	NOUN
cana-5375	152	21	compatibility	compatibility	NOUN
cana-5375	152	22	when	when	SCONJ
cana-5375	152	23	deploying	deploy	VERB
cana-5375	152	24	across	across	ADP
cana-5375	152	25	different	different	ADJ
cana-5375	152	26	multi	multi	ADJ
cana-5375	152	27	cloud	cloud	NOUN
cana-5375	152	28	vendors	vendor	NOUN
cana-5375	152	29	such	such	ADJ
cana-5375	152	30	as	as	ADP
cana-5375	152	31	aws	aw	NOUN
cana-5375	152	32	,	,	PUNCT
cana-5375	152	33	azure	azure	NOUN
cana-5375	152	34	and	and	CCONJ
cana-5375	152	35	gcp	gcp	NOUN
cana-5375	152	36	.	.	PUNCT
cana-5375	153	1	anchoring	anchoring	NOUN
cana-5375	153	2	of	of	ADP
cana-5375	153	3	the	the	DET
cana-5375	153	4	neurosymbolic	neurosymbolic	ADJ
cana-5375	153	5	security	security	NOUN
cana-5375	153	6	policies	policy	NOUN
cana-5375	153	7	will	will	AUX
cana-5375	153	8	prevent	prevent	VERB
cana-5375	153	9	vendor	vendor	NOUN
cana-5375	153	10	lock	lock	NOUN
cana-5375	153	11	-	-	PUNCT
cana-5375	153	12	in	in	NOUN
cana-5375	153	13	as	as	ADV
cana-5375	153	14	well	well	ADV
cana-5375	153	15	as	as	ADP
cana-5375	153	16	facilitating	facilitate	VERB
cana-5375	153	17	the	the	DET
cana-5375	153	18	portability	portability	NOUN
cana-5375	153	19	of	of	ADP
cana-5375	153	20	the	the	DET
cana-5375	153	21	policies	policy	NOUN
cana-5375	153	22	.	.	PUNCT
cana-5375	154	1	5.2	5.2	NUM
cana-5375	154	2	human	human	NOUN
cana-5375	154	3	-	-	PUNCT
cana-5375	154	4	in	in	ADP
cana-5375	154	5	-	-	PUNCT
cana-5375	154	6	the	the	DET
cana-5375	154	7	-	-	PUNCT
cana-5375	154	8	loop	loop	NOUN
cana-5375	154	9	oversight	oversight	NOUN
cana-5375	154	10	while	while	SCONJ
cana-5375	154	11	ai	ai	VERB
cana-5375	154	12	will	will	AUX
cana-5375	154	13	definitely	definitely	ADV
cana-5375	154	14	automate	automate	VERB
cana-5375	154	15	or	or	CCONJ
cana-5375	154	16	be	be	AUX
cana-5375	154	17	intelligent	intelligent	ADJ
cana-5375	154	18	,	,	PUNCT
cana-5375	154	19	neurosymbolic	neurosymbolic	ADJ
cana-5375	154	20	ai	ai	VERB
cana-5375	154	21	also	also	ADV
cana-5375	154	22	must	must	AUX
cana-5375	154	23	seek	seek	VERB
cana-5375	154	24	human	human	ADJ
cana-5375	154	25	interpretability	interpretability	NOUN
cana-5375	154	26	and	and	CCONJ
cana-5375	154	27	regulatory	regulatory	ADJ
cana-5375	154	28	auditability	auditability	NOUN
cana-5375	154	29	.	.	PUNCT
cana-5375	155	1	therefore	therefore	ADV
cana-5375	155	2	,	,	PUNCT
cana-5375	155	3	we	we	PRON
cana-5375	155	4	suggest	suggest	VERB
cana-5375	155	5	that	that	SCONJ
cana-5375	155	6	organizations	organization	NOUN
cana-5375	155	7	put	put	VERB
cana-5375	155	8	the	the	DET
cana-5375	155	9	communications	communication	NOUN
cana-5375	155	10	on	on	ADP
cana-5375	155	11	applied	apply	VERB
cana-5375	155	12	nonlinear	nonlinear	ADJ
cana-5375	155	13	analysis	analysis	NOUN
cana-5375	155	14	issn	issn	NOUN
cana-5375	155	15	:	:	PUNCT
cana-5375	155	16	1074	1074	NUM
cana-5375	155	17	-	-	PUNCT
cana-5375	155	18	133x	133x	NUM
cana-5375	155	19	vol	vol	NOUN
cana-5375	155	20	31	31	NUM
cana-5375	155	21	no	no	NOUN
cana-5375	155	22	.	.	PUNCT
cana-5375	156	1	2s	2s	NUM
cana-5375	156	2	(	(	PUNCT
cana-5375	156	3	2024	2024	NUM
cana-5375	156	4	)	)	PUNCT
cana-5375	156	5	751	751	NUM
cana-5375	156	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	156	7	explainability	explainability	NOUN
cana-5375	156	8	dashboards	dashboard	NOUN
cana-5375	156	9	into	into	ADP
cana-5375	156	10	place	place	NOUN
cana-5375	156	11	which	which	PRON
cana-5375	156	12	will	will	AUX
cana-5375	156	13	breakdown	breakdown	VERB
cana-5375	156	14	the	the	DET
cana-5375	156	15	neural	neural	ADJ
cana-5375	156	16	and	and	CCONJ
cana-5375	156	17	symbolic	symbolic	ADJ
cana-5375	156	18	reasoning	reasoning	NOUN
cana-5375	156	19	steps	step	NOUN
cana-5375	156	20	for	for	ADP
cana-5375	156	21	each	each	DET
cana-5375	156	22	policy	policy	NOUN
cana-5375	156	23	suggestion	suggestion	NOUN
cana-5375	156	24	.	.	PUNCT
cana-5375	157	1	the	the	DET
cana-5375	157	2	policies	policy	NOUN
cana-5375	157	3	generated	generate	VERB
cana-5375	157	4	by	by	ADP
cana-5375	157	5	these	these	DET
cana-5375	157	6	dashboards	dashboard	NOUN
cana-5375	157	7	should	should	AUX
cana-5375	157	8	be	be	AUX
cana-5375	157	9	visualized	visualize	VERB
cana-5375	157	10	as	as	ADP
cana-5375	157	11	decision	decision	NOUN
cana-5375	157	12	paths	path	NOUN
cana-5375	157	13	,	,	PUNCT
cana-5375	157	14	visualized	visualize	VERB
cana-5375	157	15	neural	neural	ADJ
cana-5375	157	16	activations	activation	NOUN
cana-5375	157	17	at	at	ADP
cana-5375	157	18	inputs	input	NOUN
cana-5375	157	19	(	(	PUNCT
cana-5375	157	20	e.g.	e.g.	ADV
cana-5375	157	21	,	,	PUNCT
cana-5375	157	22	anomaly	anomaly	VERB
cana-5375	157	23	in	in	ADP
cana-5375	157	24	access	access	NOUN
cana-5375	157	25	logs	log	NOUN
cana-5375	157	26	)	)	PUNCT
cana-5375	157	27	,	,	PUNCT
cana-5375	157	28	and	and	CCONJ
cana-5375	157	29	traced	trace	VERB
cana-5375	157	30	as	as	ADP
cana-5375	157	31	symbolic	symbolic	ADJ
cana-5375	157	32	inference	inference	NOUN
cana-5375	157	33	rules	rule	VERB
cana-5375	157	34	trigger	trigger	NOUN
cana-5375	157	35	in	in	ADP
cana-5375	157	36	policy	policy	NOUN
cana-5375	157	37	generation	generation	NOUN
cana-5375	157	38	.	.	PUNCT
cana-5375	158	1	natural	natural	ADJ
cana-5375	158	2	language	language	NOUN
cana-5375	158	3	generation	generation	NOUN
cana-5375	158	4	modules	module	NOUN
cana-5375	158	5	including	include	VERB
cana-5375	158	6	the	the	DET
cana-5375	158	7	translation	translation	NOUN
cana-5375	158	8	of	of	ADP
cana-5375	158	9	symbolic	symbolic	ADJ
cana-5375	158	10	policy	policy	NOUN
cana-5375	158	11	graphs	graph	NOUN
cana-5375	158	12	into	into	ADP
cana-5375	158	13	readable	readable	ADJ
cana-5375	158	14	justifications	justification	NOUN
cana-5375	158	15	,	,	PUNCT
cana-5375	158	16	which	which	PRON
cana-5375	158	17	would	would	AUX
cana-5375	158	18	be	be	AUX
cana-5375	158	19	helpful	helpful	ADJ
cana-5375	158	20	for	for	ADP
cana-5375	158	21	security	security	NOUN
cana-5375	158	22	officers	officer	NOUN
cana-5375	158	23	,	,	PUNCT
cana-5375	158	24	auditors	auditor	NOUN
cana-5375	158	25	and	and	CCONJ
cana-5375	158	26	compliance	compliance	NOUN
cana-5375	158	27	analysts	analyst	NOUN
cana-5375	158	28	to	to	PART
cana-5375	158	29	understand	understand	VERB
cana-5375	158	30	why	why	SCONJ
cana-5375	158	31	a	a	DET
cana-5375	158	32	particular	particular	ADJ
cana-5375	158	33	action	action	NOUN
cana-5375	158	34	is	be	AUX
cana-5375	158	35	permitted	permit	VERB
cana-5375	158	36	or	or	CCONJ
cana-5375	158	37	prohibited	prohibit	VERB
cana-5375	158	38	.	.	PUNCT
cana-5375	159	1	highly	highly	ADV
cana-5375	159	2	recommended	recommend	VERB
cana-5375	159	3	is	be	AUX
cana-5375	159	4	the	the	DET
cana-5375	159	5	establishment	establishment	NOUN
cana-5375	159	6	of	of	ADP
cana-5375	159	7	“	"	PUNCT
cana-5375	159	8	human	human	NOUN
cana-5375	159	9	-	-	PUNCT
cana-5375	159	10	in	in	ADP
cana-5375	159	11	-	-	PUNCT
cana-5375	159	12	the	the	DET
cana-5375	159	13	-	-	PUNCT
cana-5375	159	14	loop	loop	NOUN
cana-5375	159	15	”	"	PUNCT
cana-5375	159	16	checkpoints	checkpoint	NOUN
cana-5375	159	17	at	at	ADP
cana-5375	159	18	critical	critical	ADJ
cana-5375	159	19	policy	policy	NOUN
cana-5375	159	20	layers	layer	NOUN
cana-5375	159	21	.	.	PUNCT
cana-5375	160	1	these	these	PRON
cana-5375	160	2	have	have	VERB
cana-5375	160	3	to	to	PART
cana-5375	160	4	be	be	AUX
cana-5375	160	5	checkpoints	checkpoint	NOUN
cana-5375	160	6	in	in	ADP
cana-5375	160	7	allowing	allow	VERB
cana-5375	160	8	security	security	NOUN
cana-5375	160	9	teams	team	NOUN
cana-5375	160	10	to	to	PART
cana-5375	160	11	read	read	VERB
cana-5375	160	12	and	and	CCONJ
cana-5375	160	13	override	override	VERB
cana-5375	160	14	these	these	DET
cana-5375	160	15	ai	ai	AUX
cana-5375	160	16	generated	generate	VERB
cana-5375	160	17	policies	policy	NOUN
cana-5375	160	18	before	before	SCONJ
cana-5375	160	19	they	they	PRON
cana-5375	160	20	get	get	AUX
cana-5375	160	21	enforced	enforce	VERB
cana-5375	160	22	especially	especially	ADV
cana-5375	160	23	with	with	ADP
cana-5375	160	24	regards	regard	NOUN
cana-5375	160	25	to	to	ADP
cana-5375	160	26	handling	handle	VERB
cana-5375	160	27	sensitive	sensitive	ADJ
cana-5375	160	28	pii	pii	NOUN
cana-5375	160	29	data	datum	NOUN
cana-5375	160	30	or	or	CCONJ
cana-5375	160	31	as	as	ADV
cana-5375	160	32	far	far	ADV
cana-5375	160	33	as	as	ADP
cana-5375	160	34	getting	get	VERB
cana-5375	160	35	access	access	NOUN
cana-5375	160	36	to	to	ADP
cana-5375	160	37	other	other	ADJ
cana-5375	160	38	locations	location	NOUN
cana-5375	160	39	or	or	CCONJ
cana-5375	160	40	giving	give	VERB
cana-5375	160	41	privileged	privileged	ADJ
cana-5375	160	42	system	system	NOUN
cana-5375	160	43	level	level	NOUN
cana-5375	160	44	permissions	permission	NOUN
cana-5375	160	45	.	.	PUNCT
cana-5375	161	1	the	the	DET
cana-5375	161	2	cloud	cloud	NOUN
cana-5375	161	3	infrastructure	infrastructure	NOUN
cana-5375	161	4	should	should	AUX
cana-5375	161	5	include	include	VERB
cana-5375	161	6	a	a	DET
cana-5375	161	7	rollback	rollback	NOUN
cana-5375	161	8	mechanism	mechanism	NOUN
cana-5375	161	9	in	in	ADP
cana-5375	161	10	place	place	NOUN
cana-5375	161	11	,	,	PUNCT
cana-5375	161	12	which	which	PRON
cana-5375	161	13	will	will	AUX
cana-5375	161	14	roll	roll	VERB
cana-5375	161	15	back	back	ADP
cana-5375	161	16	changes	change	NOUN
cana-5375	161	17	to	to	ADP
cana-5375	161	18	policy	policy	NOUN
cana-5375	161	19	that	that	PRON
cana-5375	161	20	result	result	VERB
cana-5375	161	21	in	in	ADP
cana-5375	161	22	access	access	NOUN
cana-5375	161	23	disruption	disruption	NOUN
cana-5375	161	24	or	or	CCONJ
cana-5375	161	25	compliance	compliance	NOUN
cana-5375	161	26	violation	violation	NOUN
cana-5375	161	27	.	.	PUNCT
cana-5375	162	1	this	this	PRON
cana-5375	162	2	strikes	strike	VERB
cana-5375	162	3	a	a	DET
cana-5375	162	4	balance	balance	NOUN
cana-5375	162	5	between	between	ADP
cana-5375	162	6	automation	automation	NOUN
cana-5375	162	7	and	and	CCONJ
cana-5375	162	8	control	control	NOUN
cana-5375	162	9	,	,	PUNCT
cana-5375	162	10	which	which	PRON
cana-5375	162	11	is	be	AUX
cana-5375	162	12	a	a	DET
cana-5375	162	13	critical	critical	ADJ
cana-5375	162	14	consideration	consideration	NOUN
cana-5375	162	15	in	in	ADP
cana-5375	162	16	cases	case	NOUN
cana-5375	162	17	where	where	SCONJ
cana-5375	162	18	compliance	compliance	NOUN
cana-5375	162	19	failure	failure	NOUN
cana-5375	162	20	can	can	AUX
cana-5375	162	21	have	have	VERB
cana-5375	162	22	dire	dire	ADJ
cana-5375	162	23	consequences	consequence	NOUN
cana-5375	162	24	(	(	PUNCT
cana-5375	162	25	as	as	ADP
cana-5375	162	26	inpires	inpire	NOUN
cana-5375	162	27	)	)	PUNCT
cana-5375	162	28	that	that	PRON
cana-5375	162	29	include	include	VERB
cana-5375	162	30	finance	finance	NOUN
cana-5375	162	31	,	,	PUNCT
cana-5375	162	32	defense	defense	NOUN
cana-5375	162	33	and	and	CCONJ
cana-5375	162	34	healthcare	healthcare	PROPN
cana-5375	162	35	.	.	PUNCT
cana-5375	163	1	we	we	PRON
cana-5375	163	2	also	also	ADV
cana-5375	163	3	advise	advise	VERB
cana-5375	163	4	to	to	PART
cana-5375	163	5	use	use	VERB
cana-5375	163	6	periodic	periodic	ADJ
cana-5375	163	7	adversarial	adversarial	ADJ
cana-5375	163	8	test	test	NOUN
cana-5375	163	9	of	of	ADP
cana-5375	163	10	the	the	DET
cana-5375	163	11	neurosymbolic	neurosymbolic	ADJ
cana-5375	163	12	models	model	NOUN
cana-5375	163	13	with	with	ADP
cana-5375	163	14	both	both	CCONJ
cana-5375	163	15	white	white	PROPN
cana-5375	163	16	box	box	PROPN
cana-5375	163	17	and	and	CCONJ
cana-5375	163	18	black	black	ADJ
cana-5375	163	19	box	box	NOUN
cana-5375	163	20	methods	method	NOUN
cana-5375	163	21	.	.	PUNCT
cana-5375	164	1	specifically	specifically	ADV
cana-5375	164	2	,	,	PUNCT
cana-5375	164	3	this	this	PRON
cana-5375	164	4	entails	entail	VERB
cana-5375	164	5	simulation	simulation	NOUN
cana-5375	164	6	of	of	ADP
cana-5375	164	7	policy	policy	NOUN
cana-5375	164	8	evasion	evasion	NOUN
cana-5375	164	9	attacks	attack	NOUN
cana-5375	164	10	,	,	PUNCT
cana-5375	164	11	design	design	NOUN
cana-5375	164	12	of	of	ADP
cana-5375	164	13	adversarial	adversarial	ADJ
cana-5375	164	14	access	access	NOUN
cana-5375	164	15	sequences	sequence	NOUN
cana-5375	164	16	,	,	PUNCT
cana-5375	164	17	and	and	CCONJ
cana-5375	164	18	response	response	NOUN
cana-5375	164	19	under	under	ADP
cana-5375	164	20	novel	novel	ADJ
cana-5375	164	21	threat	threat	NOUN
cana-5375	164	22	conditions	condition	NOUN
cana-5375	164	23	.	.	PUNCT
cana-5375	165	1	organization	organization	NOUN
cana-5375	165	2	can	can	AUX
cana-5375	165	3	tune	tune	VERB
cana-5375	165	4	symbolic	symbolic	ADJ
cana-5375	165	5	constraints	constraint	NOUN
cana-5375	165	6	and	and	CCONJ
cana-5375	165	7	change	change	VERB
cana-5375	165	8	neural	neural	ADJ
cana-5375	165	9	retraining	retrain	VERB
cana-5375	165	10	cycles	cycle	NOUN
cana-5375	165	11	to	to	PART
cana-5375	165	12	make	make	VERB
cana-5375	165	13	defenses	defense	NOUN
cana-5375	165	14	harder	hard	ADV
cana-5375	165	15	,	,	PUNCT
cana-5375	165	16	and	and	CCONJ
cana-5375	165	17	evaluate	evaluate	VERB
cana-5375	165	18	how	how	SCONJ
cana-5375	165	19	the	the	DET
cana-5375	165	20	model	model	NOUN
cana-5375	165	21	generalizing	generalize	VERB
cana-5375	165	22	and	and	CCONJ
cana-5375	165	23	responding	respond	VERB
cana-5375	165	24	to	to	ADP
cana-5375	165	25	adversarial	adversarial	ADJ
cana-5375	165	26	scenarios	scenario	NOUN
cana-5375	165	27	.	.	PUNCT
cana-5375	166	1	they	they	PRON
cana-5375	166	2	should	should	AUX
cana-5375	166	3	be	be	AUX
cana-5375	166	4	documented	document	VERB
cana-5375	166	5	and	and	CCONJ
cana-5375	166	6	forms	form	VERB
cana-5375	166	7	part	part	NOUN
cana-5375	166	8	of	of	ADP
cana-5375	166	9	routine	routine	ADJ
cana-5375	166	10	cybersecurity	cybersecurity	NOUN
cana-5375	166	11	risk	risk	NOUN
cana-5375	166	12	assessments	assessment	NOUN
cana-5375	166	13	and	and	CCONJ
cana-5375	166	14	audits	audits	NOUN
cana-5375	166	15	.	.	PUNCT
cana-5375	167	1	5.3	5.3	NUM
cana-5375	167	2	zero	zero	NUM
cana-5375	167	3	trust	trust	NOUN
cana-5375	167	4	architectures	architecture	NOUN
cana-5375	167	5	neurosymbolic	neurosymbolic	ADJ
cana-5375	167	6	outputs	output	NOUN
cana-5375	167	7	can	can	AUX
cana-5375	167	8	be	be	AUX
cana-5375	167	9	enforced	enforce	VERB
cana-5375	167	10	by	by	ADP
cana-5375	167	11	cloud	cloud	ADJ
cana-5375	167	12	native	native	ADJ
cana-5375	167	13	tools	tool	NOUN
cana-5375	167	14	such	such	ADJ
cana-5375	167	15	as	as	ADP
cana-5375	167	16	aws	aws	PROPN
cana-5375	167	17	config	config	NOUN
cana-5375	167	18	,	,	PUNCT
cana-5375	167	19	azure	azure	ADJ
cana-5375	167	20	policy	policy	NOUN
cana-5375	167	21	and	and	CCONJ
cana-5375	167	22	hashicorp	hashicorp	NOUN
cana-5375	167	23	sentinel	sentinel	NOUN
cana-5375	167	24	through	through	ADP
cana-5375	167	25	ci	ci	NOUN
cana-5375	167	26	/	/	SYM
cana-5375	167	27	cd	cd	NOUN
cana-5375	167	28	integrations	integration	NOUN
cana-5375	167	29	.	.	PUNCT
cana-5375	168	1	fig	fig	NOUN
cana-5375	168	2	.	.	PUNCT
cana-5375	169	1	3	3	NUM
cana-5375	169	2	mathematical	mathematical	ADJ
cana-5375	169	3	representation	representation	NOUN
cana-5375	169	4	of	of	ADP
cana-5375	169	5	neuro	neuro	NOUN
cana-5375	169	6	-	-	PUNCT
cana-5375	169	7	symbolic	symbolic	ADJ
cana-5375	169	8	ai	ai	PROPN
cana-5375	169	9	(	(	PUNCT
cana-5375	169	10	aiblux	aiblux	INTJ
cana-5375	169	11	,	,	PUNCT
cana-5375	169	12	2020	2020	NUM
cana-5375	169	13	)	)	PUNCT
cana-5375	169	14	communications	communication	NOUN
cana-5375	169	15	on	on	ADP
cana-5375	169	16	applied	apply	VERB
cana-5375	169	17	nonlinear	nonlinear	ADJ
cana-5375	169	18	analysis	analysis	NOUN
cana-5375	169	19	issn	issn	NOUN
cana-5375	169	20	:	:	PUNCT
cana-5375	169	21	1074	1074	NUM
cana-5375	169	22	-	-	PUNCT
cana-5375	169	23	133x	133x	NUM
cana-5375	169	24	vol	vol	NOUN
cana-5375	169	25	31	31	NUM
cana-5375	169	26	no	no	NOUN
cana-5375	169	27	.	.	PUNCT
cana-5375	170	1	2s	2s	NUM
cana-5375	170	2	(	(	PUNCT
cana-5375	170	3	2024	2024	NUM
cana-5375	170	4	)	)	PUNCT
cana-5375	170	5	752	752	NUM
cana-5375	170	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	170	7	tracing	trace	VERB
cana-5375	170	8	changes	change	NOUN
cana-5375	170	9	,	,	PUNCT
cana-5375	170	10	performing	perform	VERB
cana-5375	170	11	automated	automate	VERB
cana-5375	170	12	policy	policy	NOUN
cana-5375	170	13	diff	diff	NOUN
cana-5375	170	14	check	check	NOUN
cana-5375	170	15	and	and	CCONJ
cana-5375	170	16	changing	change	VERB
cana-5375	170	17	ai	ai	AUX
cana-5375	170	18	generated	generate	VERB
cana-5375	170	19	policies	policy	NOUN
cana-5375	170	20	with	with	ADP
cana-5375	170	21	baseline	baseline	ADJ
cana-5375	170	22	human	human	ADJ
cana-5375	170	23	written	write	VERB
cana-5375	170	24	policy	policy	NOUN
cana-5375	170	25	is	be	AUX
cana-5375	170	26	a	a	DET
cana-5375	170	27	requirement	requirement	NOUN
cana-5375	170	28	of	of	ADP
cana-5375	170	29	maintaining	maintain	VERB
cana-5375	170	30	git	git	NOUN
cana-5375	170	31	based	base	VERB
cana-5375	170	32	policy	policy	NOUN
cana-5375	170	33	version	version	NOUN
cana-5375	170	34	control	control	NOUN
cana-5375	170	35	.	.	PUNCT
cana-5375	171	1	all	all	DET
cana-5375	171	2	generated	generate	VERB
cana-5375	171	3	policies	policy	NOUN
cana-5375	171	4	should	should	AUX
cana-5375	171	5	have	have	VERB
cana-5375	171	6	a	a	DET
cana-5375	171	7	tagging	tagging	NOUN
cana-5375	171	8	and	and	CCONJ
cana-5375	171	9	classification	classification	NOUN
cana-5375	171	10	system	system	NOUN
cana-5375	171	11	with	with	ADP
cana-5375	171	12	which	which	PRON
cana-5375	171	13	we	we	PRON
cana-5375	171	14	can	can	AUX
cana-5375	171	15	easily	easily	ADV
cana-5375	171	16	indicate	indicate	VERB
cana-5375	171	17	the	the	DET
cana-5375	171	18	confidence	confidence	NOUN
cana-5375	171	19	score	score	NOUN
cana-5375	171	20	,	,	PUNCT
cana-5375	171	21	validation	validation	NOUN
cana-5375	171	22	status	status	NOUN
cana-5375	171	23	,	,	PUNCT
cana-5375	171	24	and	and	CCONJ
cana-5375	171	25	intended	intend	VERB
cana-5375	171	26	application	application	NOUN
cana-5375	171	27	layer	layer	NOUN
cana-5375	171	28	(	(	PUNCT
cana-5375	171	29	e.g.	e.g.	ADV
cana-5375	171	30	,	,	PUNCT
cana-5375	171	31	api	api	NOUN
cana-5375	171	32	gateway	gateway	NOUN
cana-5375	171	33	,	,	PUNCT
cana-5375	171	34	vpc	vpc	NOUN
cana-5375	171	35	firewall	firewall	NOUN
cana-5375	171	36	,	,	PUNCT
cana-5375	171	37	s3	s3	NOUN
cana-5375	171	38	access	access	NOUN
cana-5375	171	39	policy	policy	NOUN
cana-5375	171	40	)	)	PUNCT
cana-5375	171	41	.	.	PUNCT
cana-5375	172	1	for	for	ADP
cana-5375	172	2	organizations	organization	NOUN
cana-5375	172	3	as	as	ADV
cana-5375	172	4	well	well	ADV
cana-5375	172	5	,	,	PUNCT
cana-5375	172	6	neurosymbolic	neurosymbolic	ADJ
cana-5375	172	7	policy	policy	NOUN
cana-5375	172	8	generation	generation	NOUN
cana-5375	172	9	should	should	AUX
cana-5375	172	10	be	be	AUX
cana-5375	172	11	aligned	align	VERB
cana-5375	172	12	with	with	ADP
cana-5375	172	13	zero	zero	NUM
cana-5375	172	14	trust	trust	NOUN
cana-5375	172	15	architecture	architecture	NOUN
cana-5375	172	16	(	(	PUNCT
cana-5375	172	17	zta	zta	NOUN
cana-5375	172	18	)	)	PUNCT
cana-5375	172	19	principles	principle	NOUN
cana-5375	172	20	.	.	PUNCT
cana-5375	173	1	for	for	ADP
cana-5375	173	2	instance	instance	NOUN
cana-5375	173	3	,	,	PUNCT
cana-5375	173	4	in	in	ADP
cana-5375	173	5	our	our	PRON
cana-5375	173	6	case	case	NOUN
cana-5375	173	7	,	,	PUNCT
cana-5375	173	8	the	the	DET
cana-5375	173	9	symbolic	symbolic	ADJ
cana-5375	173	10	component	component	NOUN
cana-5375	173	11	of	of	ADP
cana-5375	173	12	the	the	DET
cana-5375	173	13	ai	ai	NOUN
cana-5375	173	14	layer	layer	NOUN
cana-5375	173	15	can	can	AUX
cana-5375	173	16	impose	impose	VERB
cana-5375	173	17	the	the	DET
cana-5375	173	18	least	least	ADJ
cana-5375	173	19	privilege	privilege	NOUN
cana-5375	173	20	access	access	NOUN
cana-5375	173	21	constraint	constraint	NOUN
cana-5375	173	22	as	as	ADV
cana-5375	173	23	well	well	ADV
cana-5375	173	24	as	as	ADP
cana-5375	173	25	the	the	DET
cana-5375	173	26	micro	micro	NOUN
cana-5375	173	27	-	-	NOUN
cana-5375	173	28	segmentation	segmentation	NOUN
cana-5375	173	29	rules	rule	NOUN
cana-5375	173	30	;	;	PUNCT
cana-5375	173	31	and	and	CCONJ
cana-5375	173	32	the	the	DET
cana-5375	173	33	neural	neural	ADJ
cana-5375	173	34	controller	controller	NOUN
cana-5375	173	35	is	be	AUX
cana-5375	173	36	continuously	continuously	ADV
cana-5375	173	37	looking	look	VERB
cana-5375	173	38	for	for	ADP
cana-5375	173	39	the	the	DET
cana-5375	173	40	deviations	deviation	NOUN
cana-5375	173	41	in	in	ADP
cana-5375	173	42	behavior	behavior	NOUN
cana-5375	173	43	from	from	ADP
cana-5375	173	44	suspicious	suspicious	ADJ
cana-5375	173	45	access	access	NOUN
cana-5375	173	46	patterns	pattern	NOUN
cana-5375	173	47	which	which	PRON
cana-5375	173	48	mimic	mimic	VERB
cana-5375	173	49	the	the	DET
cana-5375	173	50	compromised	compromise	VERB
cana-5375	173	51	credentials	credential	NOUN
cana-5375	173	52	or	or	CCONJ
cana-5375	173	53	insider	insider	NOUN
cana-5375	173	54	threats	threat	NOUN
cana-5375	173	55	.	.	PUNCT
cana-5375	174	1	coldstarting	coldstarte	VERB
cana-5375	174	2	training	training	NOUN
cana-5375	174	3	and	and	CCONJ
cana-5375	174	4	employing	employ	VERB
cana-5375	174	5	public	public	ADJ
cana-5375	174	6	adversarial	adversarial	ADJ
cana-5375	174	7	challenges	challenge	NOUN
cana-5375	174	8	spawned	spawn	VERB
cana-5375	174	9	by	by	ADP
cana-5375	174	10	siem	siem	PROPN
cana-5375	174	11	and	and	CCONJ
cana-5375	174	12	other	other	ADJ
cana-5375	174	13	contextual	contextual	ADJ
cana-5375	174	14	data	datum	NOUN
cana-5375	174	15	sources	source	NOUN
cana-5375	174	16	like	like	ADP
cana-5375	174	17	user	user	NOUN
cana-5375	174	18	location	location	NOUN
cana-5375	174	19	,	,	PUNCT
cana-5375	174	20	device	device	NOUN
cana-5375	174	21	risk	risk	NOUN
cana-5375	174	22	scores	score	NOUN
cana-5375	174	23	,	,	PUNCT
cana-5375	174	24	time	time	NOUN
cana-5375	174	25	of	of	ADP
cana-5375	174	26	day	day	NOUN
cana-5375	174	27	access	access	NOUN
cana-5375	174	28	patterns	pattern	NOUN
cana-5375	174	29	,	,	PUNCT
cana-5375	174	30	and	and	CCONJ
cana-5375	174	31	peer	peer	NOUN
cana-5375	174	32	group	group	NOUN
cana-5375	174	33	behaviors	behavior	NOUN
cana-5375	174	34	are	be	AUX
cana-5375	174	35	also	also	ADV
cana-5375	174	36	going	go	VERB
cana-5375	174	37	to	to	PART
cana-5375	174	38	be	be	AUX
cana-5375	174	39	integrated	integrate	VERB
cana-5375	174	40	with	with	ADP
cana-5375	174	41	identity	identity	NOUN
cana-5375	174	42	providers	provider	NOUN
cana-5375	174	43	.	.	PUNCT
cana-5375	175	1	this	this	DET
cana-5375	175	2	tight	tight	ADJ
cana-5375	175	3	coupling	coupling	NOUN
cana-5375	175	4	will	will	AUX
cana-5375	175	5	let	let	VERB
cana-5375	175	6	the	the	DET
cana-5375	175	7	system	system	NOUN
cana-5375	175	8	generate	generate	VERB
cana-5375	175	9	not	not	PART
cana-5375	175	10	only	only	ADV
cana-5375	175	11	context	context	NOUN
cana-5375	175	12	aware	aware	ADJ
cana-5375	175	13	but	but	CCONJ
cana-5375	175	14	also	also	ADV
cana-5375	175	15	adaptive	adaptive	ADJ
cana-5375	175	16	security	security	NOUN
cana-5375	175	17	policies	policy	NOUN
cana-5375	175	18	in	in	ADP
cana-5375	175	19	the	the	DET
cana-5375	175	20	real	real	ADJ
cana-5375	175	21	time	time	NOUN
cana-5375	175	22	.	.	PUNCT
cana-5375	176	1	as	as	SCONJ
cana-5375	176	2	such	such	ADJ
cana-5375	176	3	,	,	PUNCT
cana-5375	176	4	cloud	cloud	ADJ
cana-5375	176	5	providers	provider	NOUN
cana-5375	176	6	should	should	AUX
cana-5375	176	7	start	start	VERB
cana-5375	176	8	to	to	PART
cana-5375	176	9	offer	offer	VERB
cana-5375	176	10	neurosymbolic	neurosymbolic	PROPN
cana-5375	176	11	ai	ai	VERB
cana-5375	176	12	based	base	VERB
cana-5375	176	13	policy	policy	NOUN
cana-5375	176	14	generation	generation	NOUN
cana-5375	176	15	as	as	ADP
cana-5375	176	16	a	a	DET
cana-5375	176	17	managed	manage	VERB
cana-5375	176	18	service	service	NOUN
cana-5375	176	19	with	with	ADP
cana-5375	176	20	customizable	customizable	ADJ
cana-5375	176	21	knowledge	knowledge	NOUN
cana-5375	176	22	bases	basis	NOUN
cana-5375	176	23	,	,	PUNCT
cana-5375	176	24	neural	neural	ADJ
cana-5375	176	25	model	model	NOUN
cana-5375	176	26	options	option	NOUN
cana-5375	176	27	(	(	PUNCT
cana-5375	176	28	i.e.	i.e.	X
cana-5375	176	29	,	,	PUNCT
cana-5375	176	30	transformers	transformer	NOUN
cana-5375	176	31	,	,	PUNCT
cana-5375	176	32	gnns	gnns	NOUN
cana-5375	176	33	)	)	PUNCT
cana-5375	176	34	,	,	PUNCT
cana-5375	176	35	and	and	CCONJ
cana-5375	176	36	regulatory	regulatory	ADJ
cana-5375	176	37	compliance	compliance	NOUN
cana-5375	176	38	plug	plug	NOUN
cana-5375	176	39	-	-	PUNCT
cana-5375	176	40	ins	in	NOUN
cana-5375	176	41	.	.	PUNCT
cana-5375	177	1	it	it	PRON
cana-5375	177	2	will	will	AUX
cana-5375	177	3	enable	enable	VERB
cana-5375	177	4	small	small	ADJ
cana-5375	177	5	and	and	CCONJ
cana-5375	177	6	medium	medium	ADJ
cana-5375	177	7	enterprises	enterprise	NOUN
cana-5375	177	8	to	to	PART
cana-5375	177	9	take	take	VERB
cana-5375	177	10	advantage	advantage	NOUN
cana-5375	177	11	of	of	ADP
cana-5375	177	12	the	the	DET
cana-5375	177	13	technology	technology	NOUN
cana-5375	177	14	without	without	ADP
cana-5375	177	15	deep	deep	ADJ
cana-5375	177	16	in	in	ADP
cana-5375	177	17	-	-	PUNCT
cana-5375	177	18	house	house	NOUN
cana-5375	177	19	ai	ai	PROPN
cana-5375	177	20	expertise	expertise	NOUN
cana-5375	177	21	.	.	PUNCT
cana-5375	178	1	such	such	DET
cana-5375	178	2	a	a	DET
cana-5375	178	3	system	system	NOUN
cana-5375	178	4	might	might	AUX
cana-5375	178	5	even	even	ADV
cana-5375	178	6	lead	lead	VERB
cana-5375	178	7	to	to	ADP
cana-5375	178	8	an	an	DET
cana-5375	178	9	ecosystem	ecosystem	NOUN
cana-5375	178	10	of	of	ADP
cana-5375	178	11	third	third	ADJ
cana-5375	178	12	-	-	PUNCT
cana-5375	178	13	party	party	NOUN
cana-5375	178	14	extensions	extension	NOUN
cana-5375	178	15	and	and	CCONJ
cana-5375	178	16	adherence	adherence	NOUN
cana-5375	178	17	based	base	VERB
cana-5375	178	18	symbolic	symbolic	ADJ
cana-5375	178	19	modules	module	NOUN
cana-5375	178	20	that	that	PRON
cana-5375	178	21	expand	expand	VERB
cana-5375	178	22	the	the	DET
cana-5375	178	23	adoption	adoption	NOUN
cana-5375	178	24	and	and	CCONJ
cana-5375	178	25	reliability	reliability	NOUN
cana-5375	178	26	of	of	ADP
cana-5375	178	27	systems	system	NOUN
cana-5375	178	28	in	in	ADP
cana-5375	178	29	turn	turn	NOUN
cana-5375	178	30	.	.	PUNCT
cana-5375	179	1	lastly	lastly	ADV
cana-5375	179	2	,	,	PUNCT
cana-5375	179	3	the	the	DET
cana-5375	179	4	cybersecurity	cybersecurity	NOUN
cana-5375	179	5	academic	academic	NOUN
cana-5375	179	6	and	and	CCONJ
cana-5375	179	7	research	research	NOUN
cana-5375	179	8	community	community	NOUN
cana-5375	179	9	should	should	AUX
cana-5375	179	10	contribute	contribute	VERB
cana-5375	179	11	to	to	ADP
cana-5375	179	12	the	the	DET
cana-5375	179	13	benchmark	benchmark	ADJ
cana-5375	179	14	datasets	dataset	NOUN
cana-5375	179	15	,	,	PUNCT
cana-5375	179	16	standard	standard	ADJ
cana-5375	179	17	evaluation	evaluation	NOUN
cana-5375	179	18	frameworks	framework	NOUN
cana-5375	179	19	and	and	CCONJ
cana-5375	179	20	open	open	ADJ
cana-5375	179	21	source	source	NOUN
cana-5375	179	22	neuromyotonic	neuromyotonic	ADJ
cana-5375	179	23	policy	policy	NOUN
cana-5375	179	24	engine	engine	NOUN
cana-5375	179	25	.	.	PUNCT
cana-5375	180	1	these	these	PRON
cana-5375	180	2	will	will	AUX
cana-5375	180	3	aid	aid	VERB
cana-5375	180	4	in	in	ADP
cana-5375	180	5	closing	close	VERB
cana-5375	180	6	the	the	DET
cana-5375	180	7	current	current	ADJ
cana-5375	180	8	breach	breach	NOUN
cana-5375	180	9	between	between	ADP
cana-5375	180	10	experimental	experimental	ADJ
cana-5375	180	11	ai	ai	NOUN
cana-5375	180	12	models	model	NOUN
cana-5375	180	13	and	and	CCONJ
cana-5375	180	14	deployable	deployable	ADJ
cana-5375	180	15	enterprise	enterprise	NOUN
cana-5375	180	16	grade	grade	NOUN
cana-5375	180	17	systems	system	NOUN
cana-5375	180	18	.	.	PUNCT
cana-5375	181	1	6	6	X
cana-5375	181	2	.	.	X
cana-5375	181	3	conclusion	conclusion	NOUN
cana-5375	181	4	transparent	transparent	ADJ
cana-5375	181	5	,	,	PUNCT
cana-5375	181	6	scalable	scalable	ADJ
cana-5375	181	7	,	,	PUNCT
cana-5375	181	8	automated	automate	VERB
cana-5375	181	9	cloud	cloud	NOUN
cana-5375	181	10	security	security	NOUN
cana-5375	181	11	policy	policy	NOUN
cana-5375	181	12	automation	automation	NOUN
cana-5375	181	13	can	can	AUX
cana-5375	181	14	be	be	AUX
cana-5375	181	15	provided	provide	VERB
cana-5375	181	16	using	use	VERB
cana-5375	181	17	neurosymbolic	neurosymbolic	NOUN
cana-5375	181	18	ai	ai	VERB
cana-5375	181	19	as	as	ADP
cana-5375	181	20	a	a	DET
cana-5375	181	21	pathway	pathway	NOUN
cana-5375	181	22	.	.	PUNCT
cana-5375	182	1	this	this	DET
cana-5375	182	2	research	research	NOUN
cana-5375	182	3	shows	show	VERB
cana-5375	182	4	a	a	DET
cana-5375	182	5	novel	novel	ADJ
cana-5375	182	6	framework	framework	NOUN
cana-5375	182	7	that	that	PRON
cana-5375	182	8	improves	improve	VERB
cana-5375	182	9	explainability	explainability	NOUN
cana-5375	182	10	,	,	PUNCT
cana-5375	182	11	precision	precision	NOUN
cana-5375	182	12	and	and	CCONJ
cana-5375	182	13	compliance	compliance	NOUN
cana-5375	182	14	with	with	ADP
cana-5375	182	15	the	the	DET
cana-5375	182	16	policy	policy	NOUN
cana-5375	182	17	enforcement	enforcement	NOUN
cana-5375	182	18	by	by	ADP
cana-5375	182	19	improving	improve	VERB
cana-5375	182	20	the	the	DET
cana-5375	182	21	status	status	NOUN
cana-5375	182	22	with	with	ADP
cana-5375	182	23	the	the	DET
cana-5375	182	24	respect	respect	NOUN
cana-5375	182	25	of	of	ADP
cana-5375	182	26	both	both	PRON
cana-5375	182	27	neural	neural	ADJ
cana-5375	182	28	perception	perception	NOUN
cana-5375	182	29	and	and	CCONJ
cana-5375	182	30	symbolic	symbolic	ADJ
cana-5375	182	31	logic	logic	NOUN
cana-5375	182	32	.	.	PUNCT
cana-5375	183	1	the	the	DET
cana-5375	183	2	future	future	ADJ
cana-5375	183	3	work	work	NOUN
cana-5375	183	4	includes	include	VERB
cana-5375	183	5	a	a	DET
cana-5375	183	6	broader	broad	ADJ
cana-5375	183	7	deployment	deployment	NOUN
cana-5375	183	8	,	,	PUNCT
cana-5375	183	9	adversarial	adversarial	ADJ
cana-5375	183	10	resilience	resilience	NOUN
cana-5375	183	11	with	with	ADP
cana-5375	183	12	the	the	DET
cana-5375	183	13	zero	zero	NUM
cana-5375	183	14	trust	trust	NOUN
cana-5375	183	15	models	model	NOUN
cana-5375	183	16	.	.	PUNCT
cana-5375	184	1	references	reference	NOUN
cana-5375	184	2	1	1	NUM
cana-5375	184	3	.	.	PUNCT
cana-5375	185	1	abdullah	abdullah	PROPN
cana-5375	185	2	,	,	PUNCT
cana-5375	185	3	i.	i.	PROPN
cana-5375	185	4	,	,	PUNCT
cana-5375	185	5	javed	javed	PROPN
cana-5375	185	6	,	,	PUNCT
cana-5375	185	7	a.	a.	PROPN
cana-5375	185	8	,	,	PUNCT
cana-5375	185	9	malik	malik	PROPN
cana-5375	185	10	,	,	PUNCT
cana-5375	185	11	k.	k.	PROPN
cana-5375	185	12	m.	m.	PROPN
cana-5375	185	13	,	,	PUNCT
cana-5375	185	14	&	&	CCONJ
cana-5375	185	15	malik	malik	PROPN
cana-5375	185	16	,	,	PUNCT
cana-5375	185	17	g.	g.	PROPN
cana-5375	185	18	(	(	PUNCT
cana-5375	185	19	2023	2023	NUM
cana-5375	185	20	)	)	PUNCT
cana-5375	185	21	.	.	PUNCT
cana-5375	186	1	deepinfusion	deepinfusion	NOUN
cana-5375	186	2	:	:	PUNCT
cana-5375	186	3	a	a	DET
cana-5375	186	4	dynamic	dynamic	ADJ
cana-5375	186	5	infusion	infusion	NOUN
cana-5375	186	6	based	base	VERB
cana-5375	186	7	-	-	PUNCT
cana-5375	186	8	neuro	neuro	NOUN
cana-5375	186	9	-	-	PUNCT
cana-5375	186	10	symbolic	symbolic	NOUN
cana-5375	186	11	ai	ai	PROPN
cana-5375	186	12	model	model	NOUN
cana-5375	186	13	for	for	ADP
cana-5375	186	14	segmentation	segmentation	NOUN
cana-5375	186	15	of	of	ADP
cana-5375	186	16	intracranial	intracranial	ADJ
cana-5375	186	17	aneurysms	aneurysm	NOUN
cana-5375	186	18	.	.	PUNCT
cana-5375	187	1	neurocomputing	neurocomputing	NOUN
cana-5375	187	2	,	,	PUNCT
cana-5375	187	3	551	551	NUM
cana-5375	187	4	,	,	PUNCT
cana-5375	187	5	126510	126510	NUM
cana-5375	187	6	.	.	PUNCT
cana-5375	188	1	https://doi.org/10.1016/j.neucom.2023.126510	https://doi.org/10.1016/j.neucom.2023.126510	ADJ
cana-5375	188	2	2	2	NUM
cana-5375	188	3	.	.	X
cana-5375	188	4	anderson	anderson	PROPN
cana-5375	188	5	,	,	PUNCT
cana-5375	188	6	k.	k.	PROPN
cana-5375	188	7	(	(	PUNCT
cana-5375	188	8	2022	2022	NUM
cana-5375	188	9	)	)	PUNCT
cana-5375	188	10	.	.	PUNCT
cana-5375	189	1	neurosymbolic	neurosymbolic	PROPN
cana-5375	189	2	ai	ai	AUX
cana-5375	189	3	revolutionizing	revolutionize	VERB
cana-5375	189	4	fraud	fraud	NOUN
cana-5375	189	5	prevention	prevention	NOUN
cana-5375	189	6	systems	system	NOUN
cana-5375	189	7	.	.	PUNCT
cana-5375	190	1	https://www.researchgate.net/profile/jessie-anderson8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/link	https://www.researchgate.net/profile/jessie-anderson8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/link	PROPN
cana-5375	190	2	s/6751a4daabddbb448c65cc1d	s/6751a4daabddbb448c65cc1d	PROPN
cana-5375	190	3	/	/	SYM
cana-5375	190	4	neurosymbolic	neurosymbolic	ADJ
cana-5375	190	5	-	-	PUNCT
cana-5375	190	6	ai	ai	NOUN
cana-5375	190	7	-	-	PUNCT
cana-5375	190	8	revolutionizing	revolutionize	VERB
cana-5375	190	9	-	-	PUNCT
cana-5375	190	10	fraud	fraud	NOUN
cana-5375	190	11	-	-	PUNCT
cana-5375	190	12	preventionsystems.pdf	preventionsystems.pdf	NOUN
cana-5375	190	13	https://doi.org/10.1016/j.neucom.2023.126510	https://doi.org/10.1016/j.neucom.2023.126510	VERB
cana-5375	190	14	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	NOUN
cana-5375	190	15	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	NOUN
cana-5375	190	16	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	PROPN
cana-5375	190	17	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	https://www.researchgate.net/profile/jessie-anderson-8/publication/386453921_neurosymbolic_ai_revolutionizing_fraud_prevention_systems/links/6751a4daabddbb448c65cc1d/neurosymbolic-ai-revolutionizing-fraud-prevention-systems.pdf	PROPN
cana-5375	190	18	communications	communication	NOUN
cana-5375	190	19	on	on	ADP
cana-5375	190	20	applied	apply	VERB
cana-5375	190	21	nonlinear	nonlinear	ADJ
cana-5375	190	22	analysis	analysis	NOUN
cana-5375	190	23	issn	issn	NOUN
cana-5375	190	24	:	:	PUNCT
cana-5375	190	25	1074	1074	NUM
cana-5375	190	26	-	-	PUNCT
cana-5375	190	27	133x	133x	NUM
cana-5375	190	28	vol	vol	NOUN
cana-5375	190	29	31	31	NUM
cana-5375	190	30	no	no	NOUN
cana-5375	190	31	.	.	PUNCT
cana-5375	191	1	2s	2s	NUM
cana-5375	191	2	(	(	PUNCT
cana-5375	191	3	2024	2024	NUM
cana-5375	191	4	)	)	PUNCT
cana-5375	191	5	753	753	NUM
cana-5375	191	6	https://internationalpubls.com	https://internationalpubls.com	X
cana-5375	191	7	3	3	X
cana-5375	191	8	.	.	PUNCT
cana-5375	191	9	gaur	gaur	NOUN
cana-5375	191	10	,	,	PUNCT
cana-5375	191	11	m.	m.	NOUN
cana-5375	191	12	,	,	PUNCT
cana-5375	191	13	&	&	CCONJ
cana-5375	191	14	sheth	sheth	PROPN
cana-5375	191	15	,	,	PUNCT
cana-5375	191	16	a.	a.	NOUN
cana-5375	191	17	(	(	PUNCT
cana-5375	191	18	2023	2023	NUM
cana-5375	191	19	)	)	PUNCT
cana-5375	191	20	.	.	PUNCT
cana-5375	192	1	building	build	VERB
cana-5375	192	2	trustworthy	trustworthy	ADJ
cana-5375	192	3	neurosymbolic	neurosymbolic	PROPN
cana-5375	192	4	ai	ai	AUX
cana-5375	192	5	systems	system	NOUN
cana-5375	192	6	:	:	PUNCT
cana-5375	192	7	consistency	consistency	NOUN
cana-5375	192	8	,	,	PUNCT
cana-5375	192	9	reliability	reliability	NOUN
cana-5375	192	10	,	,	PUNCT
cana-5375	192	11	explainability	explainability	NOUN
cana-5375	192	12	,	,	PUNCT
cana-5375	192	13	and	and	CCONJ
cana-5375	192	14	safety	safety	NOUN
cana-5375	192	15	.	.	PUNCT
cana-5375	193	1	arxiv	arxiv	PROPN
cana-5375	193	2	(	(	PUNCT
cana-5375	193	3	cornell	cornell	PROPN
cana-5375	193	4	university	university	PROPN
cana-5375	193	5	)	)	PUNCT
cana-5375	193	6	.	.	PUNCT
cana-5375	194	1	https://doi.org/10.48550/arxiv.2312.06798	https://doi.org/10.48550/arxiv.2312.06798	PROPN
cana-5375	194	2	4	4	NUM
cana-5375	194	3	.	.	PUNCT
cana-5375	194	4	gollapalli	gollapalli	PROPN
cana-5375	194	5	,	,	PUNCT
cana-5375	194	6	v.	v.	CCONJ
cana-5375	194	7	s.	s.	PROPN
cana-5375	194	8	t.	t.	PROPN
cana-5375	194	9	(	(	PUNCT
cana-5375	194	10	2021	2021	NUM
cana-5375	194	11	)	)	PUNCT
cana-5375	194	12	.	.	PUNCT
cana-5375	195	1	hybrid	hybrid	PROPN
cana-5375	195	2	fog	fog	PROPN
cana-5375	195	3	-	-	PUNCT
cana-5375	195	4	cloud	cloud	NOUN
cana-5375	195	5	architectures	architecture	NOUN
cana-5375	195	6	for	for	ADP
cana-5375	195	7	scalable	scalable	ADJ
cana-5375	195	8	iot	iot	ADJ
cana-5375	195	9	healthcare	healthcare	NOUN
cana-5375	195	10	:	:	PUNCT
cana-5375	195	11	improving	improve	VERB
cana-5375	195	12	ecg	ecg	PROPN
cana-5375	195	13	analysis	analysis	NOUN
cana-5375	195	14	,	,	PUNCT
cana-5375	195	15	signal	signal	NOUN
cana-5375	195	16	processing	processing	NOUN
cana-5375	195	17	,	,	PUNCT
cana-5375	195	18	and	and	CCONJ
cana-5375	195	19	ai	ai	AUX
cana-5375	195	20	-	-	PUNCT
cana-5375	195	21	driven	drive	VERB
cana-5375	195	22	monitoring	monitoring	NOUN
cana-5375	195	23	.	.	PUNCT
cana-5375	196	1	international	international	ADJ
cana-5375	196	2	journal	journal	PROPN
cana-5375	196	3	of	of	ADP
cana-5375	196	4	hrm	hrm	PROPN
cana-5375	196	5	and	and	CCONJ
cana-5375	196	6	organizational	organizational	ADJ
cana-5375	196	7	behavior	behavior	NOUN
cana-5375	196	8	,	,	PUNCT
cana-5375	196	9	9(2	9(2	NUM
cana-5375	196	10	)	)	PUNCT
cana-5375	196	11	,	,	PUNCT
cana-5375	196	12	30	30	NUM
cana-5375	196	13	-	-	SYM
cana-5375	196	14	47	47	NUM
cana-5375	196	15	.	.	PUNCT
cana-5375	197	1	https://ijhrmob.org/index.php/ijhrmob/article/view/278	https://ijhrmob.org/index.php/ijhrmob/article/view/278	ADJ
cana-5375	197	2	5	5	NUM
cana-5375	197	3	.	.	PUNCT
cana-5375	198	1	helff	helff	NOUN
cana-5375	198	2	,	,	PUNCT
cana-5375	198	3	l.	l.	PROPN
cana-5375	198	4	,	,	PUNCT
cana-5375	198	5	stammer	stammer	NOUN
cana-5375	198	6	,	,	PUNCT
cana-5375	198	7	w.	w.	PROPN
cana-5375	198	8	,	,	PUNCT
cana-5375	198	9	shindo	shindo	PROPN
cana-5375	198	10	,	,	PUNCT
cana-5375	198	11	h.	h.	PROPN
cana-5375	198	12	,	,	PUNCT
cana-5375	198	13	dhami	dhami	NOUN
cana-5375	198	14	,	,	PUNCT
cana-5375	198	15	d.	d.	PROPN
cana-5375	198	16	s.	s.	PROPN
cana-5375	198	17	,	,	PUNCT
cana-5375	198	18	&	&	CCONJ
cana-5375	198	19	kersting	kersting	PROPN
cana-5375	198	20	,	,	PUNCT
cana-5375	198	21	k.	k.	PROPN
cana-5375	198	22	(	(	PUNCT
cana-5375	198	23	2023	2023	NUM
cana-5375	198	24	)	)	PUNCT
cana-5375	198	25	.	.	PUNCT
cana-5375	199	1	v	v	X
cana-5375	199	2	-	-	PUNCT
cana-5375	199	3	lol	lol	ADJ
cana-5375	199	4	:	:	PUNCT
cana-5375	199	5	a	a	DET
cana-5375	199	6	diagnostic	diagnostic	ADJ
cana-5375	199	7	dataset	dataset	NOUN
cana-5375	199	8	for	for	ADP
cana-5375	199	9	visual	visual	ADJ
cana-5375	199	10	logical	logical	ADJ
cana-5375	199	11	learning	learning	NOUN
cana-5375	199	12	.	.	PUNCT
cana-5375	200	1	arxiv	arxiv	PROPN
cana-5375	200	2	preprint	preprint	NOUN
cana-5375	200	3	arxiv:2306.07743	arxiv:2306.07743	PROPN
cana-5375	200	4	.	.	PUNCT
cana-5375	201	1	https://doi.org/10.48550/arxiv.2306.07743	https://doi.org/10.48550/arxiv.2306.07743	PROPN
cana-5375	201	2	6	6	NUM
cana-5375	201	3	.	.	PUNCT
cana-5375	202	1	kishor	kishor	PROPN
cana-5375	202	2	,	,	PUNCT
cana-5375	202	3	r.	r.	PROPN
cana-5375	202	4	(	(	PUNCT
cana-5375	202	5	2022	2022	NUM
cana-5375	202	6	)	)	PUNCT
cana-5375	202	7	.	.	PUNCT
cana-5375	203	1	neuro	neuro	NOUN
cana-5375	203	2	-	-	PUNCT
cana-5375	203	3	symbolic	symbolic	NOUN
cana-5375	203	4	ai	ai	VERB
cana-5375	203	5	:	:	PUNCT
cana-5375	203	6	bringing	bring	VERB
cana-5375	203	7	a	a	DET
cana-5375	203	8	new	new	ADJ
cana-5375	203	9	era	era	NOUN
cana-5375	203	10	of	of	ADP
cana-5375	203	11	machine	machine	NOUN
cana-5375	203	12	learning	learning	NOUN
cana-5375	203	13	.	.	PUNCT
cana-5375	204	1	international	international	ADJ
cana-5375	204	2	journal	journal	PROPN
cana-5375	204	3	of	of	ADP
cana-5375	204	4	research	research	NOUN
cana-5375	204	5	publications	publication	NOUN
cana-5375	204	6	and	and	CCONJ
cana-5375	204	7	reviews	review	NOUN
cana-5375	204	8	,	,	PUNCT
cana-5375	204	9	3(12	3(12	NUM
cana-5375	204	10	)	)	PUNCT
cana-5375	204	11	,	,	PUNCT
cana-5375	204	12	2326	2326	NUM
cana-5375	204	13	-	-	SYM
cana-5375	204	14	2336	2336	NUM
cana-5375	204	15	.	.	PUNCT
cana-5375	205	1	https://doi.org/10.55248/gengpi.2022.31271	https://doi.org/10.55248/gengpi.2022.31271	PROPN
cana-5375	205	2	7	7	NUM
cana-5375	205	3	.	.	PUNCT
cana-5375	205	4	mishra	mishra	PROPN
cana-5375	205	5	,	,	PUNCT
cana-5375	205	6	a.	a.	PROPN
cana-5375	205	7	,	,	PUNCT
cana-5375	205	8	&	&	CCONJ
cana-5375	205	9	jatti	jatti	PROPN
cana-5375	205	10	,	,	PUNCT
cana-5375	205	11	v.	v.	CCONJ
cana-5375	205	12	s.	s.	PROPN
cana-5375	205	13	(	(	PUNCT
cana-5375	205	14	2023	2023	NUM
cana-5375	205	15	)	)	PUNCT
cana-5375	205	16	.	.	PUNCT
cana-5375	206	1	neurosymbolic	neurosymbolic	ADJ
cana-5375	206	2	artificial	artificial	ADJ
cana-5375	206	3	intelligence	intelligence	NOUN
cana-5375	206	4	(	(	PUNCT
cana-5375	206	5	nsai	nsai	ADJ
cana-5375	206	6	)	)	PUNCT
cana-5375	206	7	based	base	VERB
cana-5375	206	8	algorithm	algorithm	NOUN
cana-5375	206	9	for	for	ADP
cana-5375	206	10	predicting	predict	VERB
cana-5375	206	11	the	the	DET
cana-5375	206	12	impact	impact	NOUN
cana-5375	206	13	strength	strength	NOUN
cana-5375	206	14	of	of	ADP
cana-5375	206	15	additive	additive	ADJ
cana-5375	206	16	manufactured	manufacture	VERB
cana-5375	206	17	polylactic	polylactic	ADJ
cana-5375	206	18	acid	acid	NOUN
cana-5375	206	19	(	(	PUNCT
cana-5375	206	20	pla	pla	NOUN
cana-5375	206	21	)	)	PUNCT
cana-5375	206	22	specimens	specimen	NOUN
cana-5375	206	23	.	.	PUNCT
cana-5375	207	1	engineering	engineering	NOUN
cana-5375	207	2	research	research	NOUN
cana-5375	207	3	express	express	ADJ
cana-5375	207	4	,	,	PUNCT
cana-5375	207	5	5(3	5(3	NUM
cana-5375	207	6	)	)	PUNCT
cana-5375	207	7	,	,	PUNCT
cana-5375	207	8	035017	035017	NUM
cana-5375	207	9	.	.	PUNCT
cana-5375	208	1	https://doi.org/10.1088/26318695/ace610	https://doi.org/10.1088/26318695/ace610	VERB
cana-5375	208	2	8	8	NUM
cana-5375	208	3	.	.	PUNCT
cana-5375	209	1	natarajan	natarajan	PROPN
cana-5375	209	2	,	,	PUNCT
cana-5375	209	3	d.	d.	PROPN
cana-5375	209	4	r.	r.	PROPN
cana-5375	209	5	(	(	PUNCT
cana-5375	209	6	2020	2020	NUM
cana-5375	209	7	)	)	PUNCT
cana-5375	209	8	.	.	PUNCT
cana-5375	210	1	ai	ai	VERB
cana-5375	210	2	-	-	PUNCT
cana-5375	210	3	generated	generate	VERB
cana-5375	210	4	test	test	NOUN
cana-5375	210	5	automation	automation	NOUN
cana-5375	210	6	for	for	ADP
cana-5375	210	7	autonomous	autonomous	ADJ
cana-5375	210	8	software	software	NOUN
cana-5375	210	9	verification	verification	NOUN
cana-5375	210	10	:	:	PUNCT
cana-5375	210	11	enhancing	enhance	VERB
cana-5375	210	12	quality	quality	NOUN
cana-5375	210	13	assurance	assurance	NOUN
cana-5375	210	14	through	through	ADP
cana-5375	210	15	ai	ai	ADJ
cana-5375	210	16	-	-	PUNCT
cana-5375	210	17	driven	drive	VERB
cana-5375	210	18	testing	testing	NOUN
cana-5375	210	19	.	.	PUNCT
cana-5375	211	1	international	international	ADJ
cana-5375	211	2	journal	journal	PROPN
cana-5375	211	3	of	of	ADP
cana-5375	211	4	hrm	hrm	PROPN
cana-5375	211	5	and	and	CCONJ
cana-5375	211	6	organizational	organizational	ADJ
cana-5375	211	7	behavior	behavior	NOUN
cana-5375	211	8	,	,	PUNCT
cana-5375	211	9	8(4	8(4	NUM
cana-5375	211	10	)	)	PUNCT
cana-5375	211	11	,	,	PUNCT
cana-5375	211	12	89	89	NUM
cana-5375	211	13	-	-	SYM
cana-5375	211	14	103	103	NUM
cana-5375	211	15	.	.	PUNCT
cana-5375	212	1	https://ijhrmob.org/index.php/ijhrmob/article/view/277	https://ijhrmob.org/index.php/ijhrmob/article/view/277	NOUN
cana-5375	212	2	9	9	NUM
cana-5375	212	3	.	.	PUNCT
cana-5375	213	1	onchis	onchi	VERB
cana-5375	213	2	,	,	PUNCT
cana-5375	213	3	d.	d.	PROPN
cana-5375	213	4	m.	m.	PROPN
cana-5375	213	5	,	,	PUNCT
cana-5375	213	6	gillich	gillich	NOUN
cana-5375	213	7	,	,	PUNCT
cana-5375	213	8	g.	g.	PROPN
cana-5375	213	9	r.	r.	PROPN
cana-5375	213	10	,	,	PUNCT
cana-5375	213	11	hogea	hogea	PROPN
cana-5375	213	12	,	,	PUNCT
cana-5375	213	13	e.	e.	PROPN
cana-5375	213	14	,	,	PUNCT
cana-5375	213	15	&	&	CCONJ
cana-5375	213	16	tufisi	tufisi	PROPN
cana-5375	213	17	,	,	PUNCT
cana-5375	213	18	c.	c.	PROPN
cana-5375	213	19	(	(	PUNCT
cana-5375	213	20	2023	2023	NUM
cana-5375	213	21	)	)	PUNCT
cana-5375	213	22	.	.	PUNCT
cana-5375	214	1	neuro	neuro	PROPN
cana-5375	214	2	-	-	PUNCT
cana-5375	214	3	symbolic	symbolic	ADJ
cana-5375	214	4	model	model	NOUN
cana-5375	214	5	for	for	ADP
cana-5375	214	6	cantilever	cantilever	NOUN
cana-5375	214	7	beams	beam	NOUN
cana-5375	214	8	damage	damage	NOUN
cana-5375	214	9	detection	detection	NOUN
cana-5375	214	10	.	.	PUNCT
cana-5375	215	1	computers	computer	NOUN
cana-5375	215	2	in	in	ADP
cana-5375	215	3	industry	industry	NOUN
cana-5375	215	4	,	,	PUNCT
cana-5375	215	5	151	151	NUM
cana-5375	215	6	,	,	PUNCT
cana-5375	215	7	103991	103991	NUM
cana-5375	215	8	.	.	PUNCT
cana-5375	216	1	https://doi.org/10.1016/j.compind.2023.103991	https://doi.org/10.1016/j.compind.2023.103991	PROPN
cana-5375	216	2	10	10	NUM
cana-5375	216	3	.	.	PUNCT
cana-5375	217	1	piplai	piplai	PROPN
cana-5375	217	2	,	,	PUNCT
cana-5375	217	3	a.	a.	NOUN
cana-5375	217	4	,	,	PUNCT
cana-5375	217	5	kotal	kotal	PROPN
cana-5375	217	6	,	,	PUNCT
cana-5375	217	7	a.	a.	NOUN
cana-5375	217	8	,	,	PUNCT
cana-5375	217	9	mohseni	mohseni	NOUN
cana-5375	217	10	,	,	PUNCT
cana-5375	217	11	s.	s.	PROPN
cana-5375	217	12	,	,	PUNCT
cana-5375	217	13	gaur	gaur	NOUN
cana-5375	217	14	,	,	PUNCT
cana-5375	217	15	m.	m.	NOUN
cana-5375	217	16	,	,	PUNCT
cana-5375	217	17	mittal	mittal	PROPN
cana-5375	217	18	,	,	PUNCT
cana-5375	217	19	s.	s.	PROPN
cana-5375	217	20	,	,	PUNCT
cana-5375	217	21	&	&	CCONJ
cana-5375	217	22	joshi	joshi	PROPN
cana-5375	217	23	,	,	PUNCT
cana-5375	217	24	a.	a.	PROPN
cana-5375	217	25	(	(	PUNCT
cana-5375	217	26	2023	2023	NUM
cana-5375	217	27	)	)	PUNCT
cana-5375	217	28	.	.	PUNCT
cana-5375	218	1	knowledge	knowledge	NOUN
cana-5375	218	2	-	-	PUNCT
cana-5375	218	3	enhanced	enhance	VERB
cana-5375	218	4	neurosymbolic	neurosymbolic	ADJ
cana-5375	218	5	artificial	artificial	ADJ
cana-5375	218	6	intelligence	intelligence	NOUN
cana-5375	218	7	for	for	ADP
cana-5375	218	8	cybersecurity	cybersecurity	NOUN
cana-5375	218	9	and	and	CCONJ
cana-5375	218	10	privacy	privacy	NOUN
cana-5375	218	11	.	.	PUNCT
cana-5375	219	1	ieee	ieee	PROPN
cana-5375	219	2	internet	internet	NOUN
cana-5375	219	3	computing	computing	NOUN
cana-5375	219	4	,	,	PUNCT
cana-5375	219	5	27(5	27(5	PROPN
cana-5375	219	6	)	)	PUNCT
cana-5375	219	7	,	,	PUNCT
cana-5375	219	8	43–48	43–48	NUM
cana-5375	219	9	.	.	PUNCT
cana-5375	220	1	https://doi.org/10.1109/mic.2023.3299435	https://doi.org/10.1109/mic.2023.3299435	VERB
cana-5375	220	2	11	11	NUM
cana-5375	220	3	.	.	PUNCT
cana-5375	221	1	rehan	rehan	PROPN
cana-5375	221	2	,	,	PUNCT
cana-5375	221	3	h.	h.	PROPN
cana-5375	221	4	(	(	PUNCT
cana-5375	221	5	2021	2021	NUM
cana-5375	221	6	)	)	PUNCT
cana-5375	221	7	.	.	PUNCT
cana-5375	222	1	leveraging	leverage	VERB
cana-5375	222	2	ai	ai	NOUN
cana-5375	222	3	and	and	CCONJ
cana-5375	222	4	cloud	cloud	NOUN
cana-5375	222	5	computing	computing	NOUN
cana-5375	222	6	for	for	ADP
cana-5375	222	7	real	real	ADJ
cana-5375	222	8	-	-	PUNCT
cana-5375	222	9	time	time	NOUN
cana-5375	222	10	fraud	fraud	NOUN
cana-5375	222	11	detection	detection	NOUN
cana-5375	222	12	in	in	ADP
cana-5375	222	13	financial	financial	ADJ
cana-5375	222	14	systems	system	NOUN
cana-5375	222	15	.	.	PUNCT
cana-5375	223	1	journal	journal	PROPN
cana-5375	223	2	of	of	ADP
cana-5375	223	3	science	science	PROPN
cana-5375	223	4	&	&	CCONJ
cana-5375	223	5	technology	technology	PROPN
cana-5375	223	6	,	,	PUNCT
cana-5375	223	7	2(5	2(5	NUM
cana-5375	223	8	)	)	PUNCT
cana-5375	223	9	,	,	PUNCT
cana-5375	223	10	127	127	NUM
cana-5375	223	11	.	.	PUNCT
cana-5375	224	1	https://www.researchgate.net/profile/hassanrehan/publication/390466223_leveraging_ai_and_cloud_computing_for_realtime_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveragingai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	https://www.researchgate.net/profile/hassanrehan/publication/390466223_leveraging_ai_and_cloud_computing_for_realtime_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveragingai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	PRON
cana-5375	224	2	12	12	NUM
cana-5375	224	3	.	.	PUNCT
cana-5375	225	1	vankayalapati	vankayalapati	PROPN
cana-5375	225	2	,	,	PUNCT
cana-5375	225	3	r.	r.	PROPN
cana-5375	225	4	k.	k.	PROPN
cana-5375	225	5	,	,	PUNCT
cana-5375	225	6	&	&	CCONJ
cana-5375	225	7	pandugula	pandugula	NOUN
cana-5375	225	8	,	,	PUNCT
cana-5375	225	9	c.	c.	PROPN
cana-5375	225	10	(	(	PUNCT
cana-5375	225	11	2022	2022	NUM
cana-5375	225	12	)	)	PUNCT
cana-5375	225	13	.	.	PUNCT
cana-5375	226	1	ai	ai	VERB
cana-5375	226	2	-	-	PUNCT
cana-5375	226	3	powered	power	VERB
cana-5375	226	4	self	self	NOUN
cana-5375	226	5	-	-	PUNCT
cana-5375	226	6	healing	heal	VERB
cana-5375	226	7	cloud	cloud	NOUN
cana-5375	226	8	infrastructures	infrastructure	NOUN
cana-5375	226	9	:	:	PUNCT
cana-5375	226	10	a	a	DET
cana-5375	226	11	paradigm	paradigm	NOUN
cana-5375	226	12	for	for	ADP
cana-5375	226	13	autonomous	autonomous	ADJ
cana-5375	226	14	fault	fault	NOUN
cana-5375	226	15	recovery	recovery	NOUN
cana-5375	226	16	.	.	PUNCT
cana-5375	227	1	migration	migration	NOUN
cana-5375	227	2	letters	letter	NOUN
cana-5375	227	3	,	,	PUNCT
cana-5375	227	4	19(6	19(6	NUM
cana-5375	227	5	)	)	PUNCT
cana-5375	227	6	,	,	PUNCT
cana-5375	227	7	1173	1173	NUM
cana-5375	227	8	-	-	SYM
cana-5375	227	9	1187	1187	NUM
cana-5375	227	10	.	.	PUNCT
cana-5375	228	1	http://dx.doi.org/10.2139/ssrn.5052024	http://dx.doi.org/10.2139/ssrn.5052024	X
cana-5375	228	2	13	13	NUM
cana-5375	228	3	.	.	PUNCT
cana-5375	228	4	voogd	voogd	NOUN
cana-5375	228	5	,	,	PUNCT
cana-5375	228	6	j.	j.	PROPN
cana-5375	228	7	,	,	PUNCT
cana-5375	228	8	hanckmann	hanckmann	PROPN
cana-5375	228	9	,	,	PUNCT
cana-5375	228	10	p.	p.	NOUN
cana-5375	228	11	,	,	PUNCT
cana-5375	228	12	de	de	PROPN
cana-5375	228	13	heer	heer	PROPN
cana-5375	228	14	,	,	PUNCT
cana-5375	228	15	p.	p.	PROPN
cana-5375	228	16	,	,	PUNCT
cana-5375	228	17	&	&	CCONJ
cana-5375	228	18	van	van	PROPN
cana-5375	228	19	lith	lith	PROPN
cana-5375	228	20	,	,	PUNCT
cana-5375	228	21	j.	j.	PROPN
cana-5375	228	22	(	(	PUNCT
cana-5375	228	23	2018	2018	NUM
cana-5375	228	24	)	)	PUNCT
cana-5375	228	25	.	.	PUNCT
cana-5375	229	1	neuro	neuro	NOUN
cana-5375	229	2	-	-	PUNCT
cana-5375	229	3	symbolic	symbolic	ADJ
cana-5375	229	4	modelling	modelling	NOUN
cana-5375	229	5	for	for	ADP
cana-5375	229	6	operational	operational	ADJ
cana-5375	229	7	decision	decision	NOUN
cana-5375	229	8	support	support	NOUN
cana-5375	229	9	.	.	PUNCT
cana-5375	230	1	14	14	NUM
cana-5375	230	2	.	.	X
cana-5375	231	1	zhang	zhang	PROPN
cana-5375	231	2	,	,	PUNCT
cana-5375	231	3	t.	t.	PROPN
cana-5375	231	4	,	,	PUNCT
cana-5375	231	5	zhao	zhao	PROPN
cana-5375	231	6	,	,	PUNCT
cana-5375	231	7	t.	t.	PROPN
cana-5375	231	8	,	,	PUNCT
cana-5375	231	9	qin	qin	PROPN
cana-5375	231	10	,	,	PUNCT
cana-5375	231	11	y.	y.	PROPN
cana-5375	231	12	,	,	PUNCT
cana-5375	231	13	&	&	CCONJ
cana-5375	231	14	liu	liu	PROPN
cana-5375	231	15	,	,	PUNCT
cana-5375	231	16	s.	s.	PROPN
cana-5375	231	17	(	(	PUNCT
cana-5375	231	18	2023	2023	NUM
cana-5375	231	19	)	)	PUNCT
cana-5375	231	20	.	.	PUNCT
cana-5375	232	1	artificial	artificial	ADJ
cana-5375	232	2	intelligence	intelligence	NOUN
cana-5375	232	3	in	in	ADP
cana-5375	232	4	intelligent	intelligent	ADJ
cana-5375	232	5	vehicles	vehicle	NOUN
cana-5375	232	6	:	:	PUNCT
cana-5375	232	7	recent	recent	ADJ
cana-5375	232	8	advances	advance	NOUN
cana-5375	232	9	and	and	CCONJ
cana-5375	232	10	future	future	ADJ
cana-5375	232	11	directions	direction	NOUN
cana-5375	232	12	.	.	PUNCT
cana-5375	233	1	journal	journal	NOUN
cana-5375	233	2	of	of	ADP
cana-5375	233	3	the	the	DET
cana-5375	233	4	chinese	chinese	PROPN
cana-5375	233	5	institute	institute	PROPN
cana-5375	233	6	of	of	ADP
cana-5375	233	7	engineers	engineer	NOUN
cana-5375	233	8	,	,	PUNCT
cana-5375	233	9	46(8	46(8	NOUN
cana-5375	233	10	)	)	PUNCT
cana-5375	233	11	,	,	PUNCT
cana-5375	233	12	905	905	NUM
cana-5375	233	13	-	-	SYM
cana-5375	233	14	911	911	NUM
cana-5375	233	15	.	.	PUNCT
cana-5375	234	1	https://doi.org/10.1080/02533839.2023.2262759	https://doi.org/10.1080/02533839.2023.2262759	PUNCT
cana-5375	235	1	https://doi.org/10.48550/arxiv.2312.06798	https://doi.org/10.48550/arxiv.2312.06798	PROPN
cana-5375	235	2	https://ijhrmob.org/index.php/ijhrmob/article/view/278	https://ijhrmob.org/index.php/ijhrmob/article/view/278	ADJ
cana-5375	235	3	https://doi.org/10.48550/arxiv.2306.07743	https://doi.org/10.48550/arxiv.2306.07743	PROPN
cana-5375	235	4	https://doi.org/10.55248/gengpi.2022.31271	https://doi.org/10.55248/gengpi.2022.31271	PROPN
cana-5375	235	5	https://doi.org/10.1088/2631-8695/ace610	https://doi.org/10.1088/2631-8695/ace610	PROPN
cana-5375	235	6	https://doi.org/10.1088/2631-8695/ace610	https://doi.org/10.1088/2631-8695/ace610	PROPN
cana-5375	235	7	https://ijhrmob.org/index.php/ijhrmob/article/view/277	https://ijhrmob.org/index.php/ijhrmob/article/view/277	PROPN
cana-5375	235	8	https://doi.org/10.1016/j.compind.2023.103991	https://doi.org/10.1016/j.compind.2023.103991	PROPN
cana-5375	235	9	https://doi.org/10.1109/mic.2023.3299435	https://doi.org/10.1109/mic.2023.3299435	VERB
cana-5375	235	10	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	NOUN
cana-5375	235	11	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	NOUN
cana-5375	235	12	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	NOUN
cana-5375	235	13	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	https://www.researchgate.net/profile/hassan-rehan/publication/390466223_leveraging_ai_and_cloud_computing_for_real-time_fraud_detection_in_financial_systems/links/67eef01576d4923a1af30ca6/leveraging-ai-and-cloud-computing-for-real-time-fraud-detection-in-financial-systems.pdf	NOUN
cana-5375	235	14	https://dx.doi.org/10.2139/ssrn.5052024	https://dx.doi.org/10.2139/ssrn.5052024	NOUN
cana-5375	235	15	https://doi.org/10.1080/02533839.2023.2262759	https://doi.org/10.1080/02533839.2023.2262759	NOUN