Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web

Descripción del Articulo

El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
Detalles Bibliográficos
Autores: Santos, Ricardo Meléndez, Gallardo, Anthony Aguilar, Aguirre, Jimmy Armas
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Peruana de Ciencias Aplicadas
Repositorio:UPC-Institucional
Lenguaje:inglés
OAI Identifier:oai:repositorioacademico.upc.edu.pe:10757/653788
Enlace del recurso:https://doi.org/10.1007/978-3-030-57548-9_15
http://hdl.handle.net/10757/653788
Nivel de acceso:acceso abierto
Materia:Cyber threat intelligence
Cybersecurity
Dark web
Maturity model
Information assets
Intelligence tool
Maturity levels
Reference modeling
Technology managers
https://purl.org/pe-repo/ocde/ford#2.11.00
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network_name_str UPC-Institucional
repository_id_str 2670
dc.title.en_US.fl_str_mv Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
title Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
spellingShingle Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
Santos, Ricardo Meléndez
Cyber threat intelligence
Cybersecurity
Dark web
Maturity model
Information assets
Intelligence tool
Maturity levels
Reference modeling
Technology managers
https://purl.org/pe-repo/ocde/ford#2.11.00
title_short Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
title_full Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
title_fullStr Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
title_full_unstemmed Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
title_sort Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
author Santos, Ricardo Meléndez
author_facet Santos, Ricardo Meléndez
Gallardo, Anthony Aguilar
Aguirre, Jimmy Armas
author_role author
author2 Gallardo, Anthony Aguilar
Aguirre, Jimmy Armas
author2_role author
author
dc.contributor.author.fl_str_mv Santos, Ricardo Meléndez
Gallardo, Anthony Aguilar
Aguirre, Jimmy Armas
dc.subject.en_US.fl_str_mv Cyber threat intelligence
Cybersecurity
Dark web
Maturity model
Information assets
Intelligence tool
Maturity levels
Reference modeling
Technology managers
topic Cyber threat intelligence
Cybersecurity
Dark web
Maturity model
Information assets
Intelligence tool
Maturity levels
Reference modeling
Technology managers
https://purl.org/pe-repo/ocde/ford#2.11.00
dc.subject.ocde.none.fl_str_mv https://purl.org/pe-repo/ocde/ford#2.11.00
description El texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.
publishDate 2021
dc.date.accessioned.none.fl_str_mv 2021-01-07T18:27:49Z
dc.date.available.none.fl_str_mv 2021-01-07T18:27:49Z
dc.date.issued.fl_str_mv 2021-01-01
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.version.none.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a2515
format article
dc.identifier.issn.none.fl_str_mv 21903018
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1007/978-3-030-57548-9_15
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10757/653788
dc.identifier.eissn.none.fl_str_mv 21903026
dc.identifier.journal.en_US.fl_str_mv Smart Innovation, Systems and Technologies
dc.identifier.eid.none.fl_str_mv 2-s2.0-85098151594
dc.identifier.scopusid.none.fl_str_mv SCOPUS_ID:85098151594
dc.identifier.isni.none.fl_str_mv 0000 0001 2196 144X
identifier_str_mv 21903018
21903026
Smart Innovation, Systems and Technologies
2-s2.0-85098151594
SCOPUS_ID:85098151594
0000 0001 2196 144X
url https://doi.org/10.1007/978-3-030-57548-9_15
http://hdl.handle.net/10757/653788
dc.language.iso.en_US.fl_str_mv eng
language eng
dc.relation.url.en_US.fl_str_mv https://www.scopus.com/record/display.uri?eid=2-s2.0-85098151594&doi=10.1007%2f978-3-030-57548-9_15&origin=inward&txGid=e2613bebe1265409308d5eb2634d2ffe
dc.rights.en_US.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
publisher.none.fl_str_mv Springer Science and Business Media Deutschland GmbH
dc.source.es_PE.fl_str_mv Repositorio Academico - UPC
Universidad Peruana de Ciencias Aplicadas (UPC)
dc.source.none.fl_str_mv reponame:UPC-Institucional
instname:Universidad Peruana de Ciencias Aplicadas
instacron:UPC
instname_str Universidad Peruana de Ciencias Aplicadas
instacron_str UPC
institution UPC
reponame_str UPC-Institucional
collection UPC-Institucional
dc.source.journaltitle.none.fl_str_mv Smart Innovation, Systems and Technologies
dc.source.volume.none.fl_str_mv 201
dc.source.beginpage.none.fl_str_mv 161
dc.source.endpage.none.fl_str_mv 172
bitstream.url.fl_str_mv https://repositorioacademico.upc.edu.pe/bitstream/10757/653788/1/license.txt
bitstream.checksum.fl_str_mv 8a4605be74aa9ea9d79846c1fba20a33
bitstream.checksumAlgorithm.fl_str_mv MD5
repository.name.fl_str_mv Repositorio Académico UPC
repository.mail.fl_str_mv upc@openrepository.com
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spelling 61cd7236fdfd2b0657577397f971d7af2fdd1f04803bff88bcafd44f17e17cff57271547b56bded3d3c12f72b4928d75Santos, Ricardo MeléndezGallardo, Anthony AguilarAguirre, Jimmy Armas2021-01-07T18:27:49Z2021-01-07T18:27:49Z2021-01-0121903018https://doi.org/10.1007/978-3-030-57548-9_15http://hdl.handle.net/10757/65378821903026Smart Innovation, Systems and Technologies2-s2.0-85098151594SCOPUS_ID:850981515940000 0001 2196 144XEl texto completo de este trabajo no está disponible en el Repositorio Académico UPC por restricciones de la casa editorial donde ha sido publicado.In this article, we propose a reference model to identify the maturity level of the cyber intelligence threat process. This proposal considers the dark web as an important source of cyber threats causing a latent risk that organizations do not consider in their cybersecurity strategies. The proposed model aims to increase the maturity level of the process through a set of proposed controls according to the information found on the dark web. The model consists of three phases: (1) Identification of information assets using cyber threat intelligence tools. (2) Diagnosis of the exposure of information assets. (3) Proposal of controls according to the proposed categories and criteria. The validation of the proposal was carried out in an insurance institution in Lima, Peru, with data obtained by the institution. The measurement was made with artifacts that allowed to obtain an initial value of the current panorama of the company. Preliminary results showed 196 emails and passwords exposed on the dark web of which one corresponded to the technology manager of the company under evaluation. With this identification, it was diagnosed that the institution was at a “Normal” maturity level, and from the implementation of the proposed controls, the “Advanced” level was reached.Revisión por paresengSpringer Science and Business Media Deutschland GmbHhttps://www.scopus.com/record/display.uri?eid=2-s2.0-85098151594&doi=10.1007%2f978-3-030-57548-9_15&origin=inward&txGid=e2613bebe1265409308d5eb2634d2ffeinfo:eu-repo/semantics/openAccessRepositorio Academico - UPCUniversidad Peruana de Ciencias Aplicadas (UPC)Smart Innovation, Systems and Technologies201161172reponame:UPC-Institucionalinstname:Universidad Peruana de Ciencias Aplicadasinstacron:UPCCyber threat intelligenceCybersecurityDark webMaturity modelInformation assetsIntelligence toolMaturity levelsReference modelingTechnology managershttps://purl.org/pe-repo/ocde/ford#2.11.00Reference model to identify the maturity level of cyber threat Intelligence on the Dark Webinfo:eu-repo/semantics/articlehttp://purl.org/coar/version/c_970fb48d4fbd8a2515LICENSElicense.txtlicense.txttext/plain; charset=utf-81748https://repositorioacademico.upc.edu.pe/bitstream/10757/653788/1/license.txt8a4605be74aa9ea9d79846c1fba20a33MD51false10757/653788oai:repositorioacademico.upc.edu.pe:10757/6537882026-02-17 17:49:15.634Repositorio Académico UPCupc@openrepository.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Reference model to identify the maturity level of cyber threat Intelligence on the Dark Web
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