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dc.contributor.authorWang, Jen_US
dc.contributor.authorNeil, Men_US
dc.contributor.authorFenton, Nen_US
dc.date.accessioned2019-12-06T11:50:08Z
dc.date.available2019-11-01en_US
dc.date.issued2020-02en_US
dc.identifier.issn0167-4048en_US
dc.identifier.other101659
dc.identifier.other101659
dc.identifier.otherUNSP 101659en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/61864
dc.relation.ispartofCOMPUTERS & SECURITYen_US
dc.rightshttps://doi.org/10.1016/j.cose.2019.101659
dc.subjectCybersecurity risk assessmenten_US
dc.subjectFAIR modelen_US
dc.subjectBayesian networksen_US
dc.subjectMonte Carlo simulationen_US
dc.subjectRisk aggregationen_US
dc.subjectAdversarial risk analysisen_US
dc.subjectGame theoryen_US
dc.titleA Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR modelen_US
dc.typeArticle
dc.rights.holder© 2019 Elsevier Ltd. All rights reserved.
dc.identifier.doi10.1016/j.cose.2019.101659en_US
pubs.author-urlhttp://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000508490300004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6aen_US
pubs.notesNot knownen_US
pubs.publication-statusPublisheden_US
pubs.volume89en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US
qmul.funderCAUSAL-DYNAMICS::Leverhulme Trusten_US


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