dc.contributor.author | Wang, J | en_US |
dc.contributor.author | Neil, M | en_US |
dc.contributor.author | Fenton, N | en_US |
dc.date.accessioned | 2019-12-06T11:50:08Z | |
dc.date.available | 2019-11-01 | en_US |
dc.date.issued | 2020-02 | en_US |
dc.identifier.issn | 0167-4048 | en_US |
dc.identifier.other | 101659 | |
dc.identifier.other | 101659 | |
dc.identifier.other | UNSP 101659 | en_US |
dc.identifier.uri | https://qmro.qmul.ac.uk/xmlui/handle/123456789/61864 | |
dc.relation.ispartof | COMPUTERS & SECURITY | en_US |
dc.rights | https://doi.org/10.1016/j.cose.2019.101659 | |
dc.subject | Cybersecurity risk assessment | en_US |
dc.subject | FAIR model | en_US |
dc.subject | Bayesian networks | en_US |
dc.subject | Monte Carlo simulation | en_US |
dc.subject | Risk aggregation | en_US |
dc.subject | Adversarial risk analysis | en_US |
dc.subject | Game theory | en_US |
dc.title | A Bayesian network approach for cybersecurity risk assessment implementing and extending the FAIR model | en_US |
dc.type | Article | |
dc.rights.holder | © 2019 Elsevier Ltd. All rights reserved. | |
dc.identifier.doi | 10.1016/j.cose.2019.101659 | en_US |
pubs.author-url | http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000508490300004&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=612ae0d773dcbdba3046f6df545e9f6a | en_US |
pubs.notes | Not known | en_US |
pubs.publication-status | Published | en_US |
pubs.volume | 89 | en_US |
rioxxterms.funder | Default funder | en_US |
rioxxterms.identifier.project | Default project | en_US |
qmul.funder | CAUSAL-DYNAMICS::Leverhulme Trust | en_US |