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dc.contributor.authorMeland, Per Håkon
dc.contributor.authorSeehusen, Fredrik
dc.date.accessioned2022-03-23T14:03:19Z
dc.date.available2022-03-23T14:03:19Z
dc.date.created2019-01-21T10:34:38Z
dc.date.issued2018
dc.identifier.citationInternational Journal On Cyber Situational Awareness (IJCSA). 2018, 3 (1), 39-60.en_US
dc.identifier.issn2057-2182
dc.identifier.urihttps://hdl.handle.net/11250/2987133
dc.description.abstractTransferring security risk to a third party through cyber insurance is an unfamiliar playing field for a lot of organisations, and therefore many hesitate to make such investments. Indeed, there is a general need for affordable and practical ways of performing risk quantification when determining risk treatment options. To address this concern, we propose a lightweight, data-driven approach for organisations to evaluate their own need for cyber insurance. A generic risk model, populated with available industry averages, is used as a starting point. Individual organisations can instantiate this model to obtain a risk profile for themselves related to relevant cyber threats. The risk profile is then used together with a cyber insurance profile to estimate the benefit and as a basis for comparing offers from different insurance providers.en_US
dc.language.isoengen_US
dc.rightsNavngivelse 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/deed.no*
dc.titleWhen to Treat Security Risks with Cyber Insuranceen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.description.versionpublishedVersionen_US
dc.source.pagenumber39-60en_US
dc.source.volume3en_US
dc.source.journalInternational Journal On Cyber Situational Awareness (IJCSA)en_US
dc.source.issue1en_US
dc.identifier.doi10.22619/IJCSA.2018.100119
dc.identifier.cristin1661981
dc.relation.projectEC/H2020/653321en_US
cristin.unitcode194,63,10,0
cristin.unitnameInstitutt for datateknologi og informatikk
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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