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dc.contributor.authorKayisoglu, G
dc.contributor.authorBolat, P
dc.contributor.authorTam, K
dc.date.accessioned2023-05-05T09:33:52Z
dc.date.available2023-05-05T09:33:52Z
dc.date.issued2022-11
dc.identifier.issn0373-4633
dc.identifier.issn1469-7785
dc.identifier.otherPII S0373463322000534
dc.identifier.urihttps://pearl.plymouth.ac.uk/handle/10026.1/20820
dc.descriptionFile replaced (published version) on 5.5.23 by NK (LDS)
dc.description.abstract

There is an undeniable recognition that maritime cybersecurity risk management should involve process, technology, and people. However, thus far, most studies have focused on the technical and process aspects of maritime cybersecurity, more than on the human element. On a vessel, the Electronic Chart Display and Information System (ECDIS) is, amongst all the electronic devices on the bridge, a complex and indispensable maritime sociotechnical system that must consider both technical and human aspects. In the context of maritime cyber resilience, it is important to note that when developing strategies for maritime cybersecurity, one cannot only consider technical security measures and ignore human error, as this does not adhere to good cybersecurity practice. To address this, this study aims to identify the navigating officers’ responsibilities for ECDIS cybersecurity and find the human error probabilities during these tasks via the SLIM-based human reliability analysis method. The outputs of this study provide an insight for industrial policies and best practices, in ECDIS cybersecurity risk management in terms of the behavioural and cultural aspects of shipping.

dc.format.extent1364-1388
dc.languageen
dc.publisherCambridge University Press (CUP)
dc.subjectECDIS cybersecurity
dc.subjecthuman error probability
dc.subjectSLIM
dc.subjectmaritime cybersecurity
dc.titleEvaluating SLIM-based human error probability for ECDIS cybersecurity in maritime
dc.typejournal-article
dc.typeJournal Article
plymouth.author-urlhttps://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000863785400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=11bb513d99f797142bcfeffcc58ea008
plymouth.issue6
plymouth.volume75
plymouth.publication-statusPublished
plymouth.journalJournal of Navigation
dc.identifier.doi10.1017/s0373463322000534
plymouth.organisational-group|Plymouth
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering
plymouth.organisational-group|Plymouth|Faculty of Science and Engineering|School of Engineering, Computing and Mathematics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA
plymouth.organisational-group|Plymouth|Users by role
plymouth.organisational-group|Plymouth|Users by role|Academics
plymouth.organisational-group|Plymouth|REF 2021 Researchers by UoA|UoA11 Computer Science and Informatics
dcterms.dateAccepted2022-09-12
dc.date.updated2023-05-05T09:33:45Z
dc.rights.embargodate2023-5-6
dc.identifier.eissn1469-7785
dc.rights.embargoperiodforever
rioxxterms.versionofrecord10.1017/s0373463322000534


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