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dc.contributor.authorMeland, Per Håkon
dc.contributor.authorSeehusen, Fredrik
dc.date.accessioned2019-01-23T06:18:09Z
dc.date.available2019-01-23T06:18:09Z
dc.date.created2018-12-13T13:50:19Z
dc.date.issued2018
dc.identifier.citation2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA), Glasgow UK, 11-12 June 2018, pp 22nb_NO
dc.identifier.isbn978-1-5386-4565-9
dc.identifier.urihttp://hdl.handle.net/11250/2581859
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.nb_NO
dc.language.isoengnb_NO
dc.relation.ispartof2018 International Conference On Cyber Situational Awareness, Data Analytics And Assessment (Cyber SA)
dc.titleWhen to Treat Security Risks with Cyber Insurancenb_NO
dc.typeChapternb_NO
dc.description.versionacceptedVersionnb_NO
dc.source.pagenumber22nb_NO
dc.identifier.cristin1642713
dc.relation.projectNorges forskningsråd: 259869nb_NO
cristin.unitcode7401,90,13,0
cristin.unitcode7401,90,12,0
cristin.unitnameSoftware Engineering, Safety and Security
cristin.unitnameSoftware and Service Innovation
cristin.ispublishedtrue
cristin.fulltextpostprint
cristin.qualitycode1


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