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dc.contributor.authorChockalingam, Sabarathinam
dc.contributor.authorPieters, Wolter
dc.contributor.authorTeixeira, André
dc.contributor.authorvan Gelder, Pieter
dc.date.accessioned2021-09-21T11:44:13Z
dc.date.available2021-09-21T11:44:13Z
dc.date.created2021-09-01T04:34:51Z
dc.date.issued2021
dc.identifier.citationCybersecurity. 2021, 4 1-19.en_US
dc.identifier.issn2523-3246
dc.identifier.urihttps://hdl.handle.net/11250/2779869
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleBayesian Network Model to Distinguish between Intentional Attacks and Accidental Technical Failures: A Case Study of Floodgatesen_US
dc.typePeer revieweden_US
dc.typeJournal articleen_US
dc.description.versionpublishedVersionen_US
dc.rights.holder© The Author(s).en_US
dc.source.pagenumber1-19en_US
dc.source.volume4en_US
dc.source.journalCybersecurityen_US
dc.identifier.doi10.1186/s42400-021-00086-6
dc.identifier.cristin1930276
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Navngivelse 4.0 Internasjonal
Except where otherwise noted, this item's license is described as Navngivelse 4.0 Internasjonal