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dc.contributor.authorSainz Oruna, Mikel
dc.contributor.authorIturbe, Mikel
dc.contributor.authorGaritano, Iñaki
dc.contributor.authorZurutuza, Urko
dc.date.accessioned2019-04-04T12:09:57Z
dc.date.available2019-04-04T12:09:57Z
dc.date.issued2017
dc.identifier.isbn978-331-967179-6 Printen
dc.identifier.isbn978-331-967180-2 Onlineen
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=127701en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/1180
dc.description.abstractIn the last years, cyber security of Industrial Control Systems (ICSs) has become an important issue due to the discovery of sophisticated malware that by attacking Critical Infrastructures, could cause catastrophic safety results. Researches have been developing countermeasures to enhance cyber security for pre-Internet era systems, which are extremely vulnerable to threats. This paper presents the potential opportunities that Software Defined Networking (SDN) provides for the security enhancement of Industrial Control Networks. SDN permits a high level of configuration of a network by the separation of control and data planes. In this work, we describe the affinities between SDN and ICSs and we discuss about implementation strategies.en
dc.description.sponsorshipComisión Europeaes
dc.description.sponsorshipGobierno Vascoes
dc.language.isoengen
dc.publisherSpringer International Publishingen
dc.rights© Springer International Publishing AG 2018en
dc.subjectSoftware defined networkingen
dc.subjectIndustrial control systemsen
dc.subjectsecurityen
dc.subjectanomaly detectionen
dc.titleSoftware Defined Networking Opportunities for Intelligent Security Enhancement of Industrial Control Systemsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_abf2en
dcterms.sourceInternational Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO 2017, ICEUTE 2017, CISIS 2017en
local.contributor.groupAnálisis de datos y ciberseguridades
local.description.peerreviewedtrueen
local.identifier.doihttps://dx.doi.org/10.1007/978-3-319-67180-2_56en
local.relation.projectIDinfo:eu-repo/grantAgreement/EC/H2020/680478/EU/ICT Powered Machining Software/MC-SUITEen
local.relation.projectIDGV/Ikertalde Convocatoria 2016-2021/IT886-16/CAPV/Sistemas Inteligentes para Sistemas Industriales/en
local.source.detailsxxxeu_ES
oaire.format.mimetypeapplication/pdf
oaire.file$DSPACE\assetstore
oaire.resourceTypehttp://purl.org/coar/resource_type/c_c94fen
oaire.versionhttp://purl.org/coar/version/c_ab4af688f83e57aaen


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