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dc.contributor.authorČernivec, Aleš
dc.contributor.authorErdogan, Gencer
dc.contributor.authorGonzalez, Alejandra
dc.contributor.authorRefsdal, Atle
dc.contributor.authorRomero, Antonio Alvarez
dc.date.accessioned2018-06-06T09:23:27Z
dc.date.available2018-06-06T09:23:27Z
dc.date.created2018-03-06T10:09:12Z
dc.date.issued2018
dc.identifier.citationLecture Notes in Computer Science. 2018, 10744 127-146.nb_NO
dc.identifier.issn0302-9743
dc.identifier.urihttp://hdl.handle.net/11250/2500552
dc.description.abstractWe present a method for developing machine-readable cyber-risk assessment algorithms based on graphical risk models, along with a framework that can automatically collect the input, execute the algorithms, and present the assessment results to a decision maker. This facilitates continuous monitoring of cyber-risk. The intended users of the method are professionals and practitioners interested in developing new algorithms for a specific organization, system or attack type, such as consultants or dedicated cyber-risk experts in larger organizations. For the assessment results, the intended users are decision makers in charge of countermeasure selection from an overall business perspective.nb_NO
dc.description.abstractEmploying Graphical Risk Models to Facilitate Cyber-Risk Monitoring - the WISER Approachnb_NO
dc.language.isoengnb_NO
dc.titleEmploying Graphical Risk Models to Facilitate Cyber-Risk Monitoring - the WISER Approachnb_NO
dc.title.alternativeEmploying Graphical Risk Models to Facilitate Cyber-Risk Monitoring - the WISER Approachnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber127-146nb_NO
dc.source.volume10744nb_NO
dc.source.journalLecture Notes in Computer Sciencenb_NO
dc.identifier.doi10.1007/978-3-319-74860-3_10
dc.identifier.cristin1570736
dc.relation.projectEC/H2020/653321nb_NO
cristin.unitcode7401,90,12,0
cristin.unitnameNettbaserte systemer og tjenester
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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