Erregistro soila

dc.rights.licenseAttribution-NonCommercial-NoDerivatives 4.0 International*
dc.contributor.authorZurutuza, Urko
dc.contributor.otherArias, Adei
dc.contributor.otherArellano, Cristóbal
dc.contributor.otherUrbieta, Aitor
dc.date.accessioned2024-10-09T14:35:13Z
dc.date.available2024-10-09T14:35:13Z
dc.date.issued2024
dc.identifierhttps://hdl.handle.net/11441/160432en
dc.identifier.isbn978-84-09-62140-8en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=177729en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/6649
dc.description.abstractThe Industrial Internet of Things (IIoT) has digitally transformed industrial processes albeit at the expense of increasing exposure to new security threats. System Information and Event Management (SIEM) systems, typically designed for Information Technology (IT), may struggle with the high data volume, specialized security needs, and real-time response requirements of IIoT environments. Digital Twins (DT), virtual replicas of physical devices, offer a solution to these challenges. By integrating SIEM with DT, incident response can be automated in Operational Technology (OT) environments. This integration enhances real-time threat detection, response coordination and post-incident tasks to ensure the security and continuity of industrial operations. A use case and prototype validate the effectiveness of this approach and highlight its potential to strengthen OT security in the face of evolving threats.en
dc.language.isoengen
dc.publisherUniversidad de Sevillaen
dc.rights© 2024 The Authorsen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectIIoTen
dc.subjectdigital twinsen
dc.subjectthreat detectionen
dc.subjectincident responseen
dc.subjectattack detectionen
dc.titleLeveraging Digital Twins and SIEM Integration for Incident Response in OT Environmentsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceIX Jornadas Nacionales de Investigación en Ciberseguridad (JNIC)en
local.contributor.groupAnálisis de datos y ciberseguridades
local.description.peerreviewedtrueen
local.contributor.otherinstitutionhttps://ror.org/03hp1m080es
local.source.detailsPp. 294-301. Sevilla, 27-29 de Mayo, 2024
oaire.format.mimetypeapplication/pdfen
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85en
oaire.funderNameComisión Europeaen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00k4n6c32 / http://data.crossref.org/fundingdata/funder/10.13039/501100000780en
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.fundingStreamH2020en
oaire.fundingStreamElkartek 2023en
oaire.awardNumber101021911en
oaire.awardNumberKK-2023-00085en
oaire.awardTitleA Cognitive Detection System for Cybersecure Operational Technologies (IDUNN)en
oaire.awardTitlecyBErsecure industriAl Computing cONtinuum (BEACON)en
oaire.awardURIhttps://doi.org/10.3030/101021911en
oaire.awardURISin informaciónen


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