MaCRA: a model-based framework for maritime cyber-risk assessment
dc.contributor.author | Tam, K | |
dc.contributor.author | Jones, Kevin | |
dc.date.accessioned | 2019-01-15T10:16:39Z | |
dc.date.issued | 2019-01-28 | |
dc.identifier.issn | 1651-436X | |
dc.identifier.issn | 1654-1642 | |
dc.identifier.uri | http://hdl.handle.net/10026.1/13138 | |
dc.description.abstract |
In the current economy roughly 90% of all world trade is transported by the shipping industry, which is now accelerating its technological growth. While the demand on mariners, ship owners, and the encompassing maritime community for digital advances (particularly towards digitization and automation) has led to e cient shipping operations, maritime cyber-security is a pertinent issue of equal importance. As hackers are becoming increasingly aware of cyber-vulnerabilities within the maritime sector, and as existing risk assessment tools do not adequately represent the unique nature of maritime cyber-threats, this article introduces a model-based risk assessment framework which considers a combination of cyber and maritime factors. Confronted with a range of ship functionalities, con gurations, users, and environmental factors, this framework aims to comprehensively present maritime cyber-risks and better inform those in the maritime community when making cyber-security decisions. By providing the needed maritime-cyber risk pro les, it becomes possible to support a range of parties, such as operators, regulators, insurers, and mariners, in increasing overall global maritime cyber-security. | |
dc.format.extent | 129-163 | |
dc.language | en | |
dc.language.iso | en | |
dc.publisher | World Maritime University | |
dc.title | MaCRA: a model-based framework for maritime cyber-risk assessment | |
dc.type | journal-article | |
dc.type | Journal Article | |
plymouth.issue | 1 | |
plymouth.volume | 18 | |
plymouth.publication-status | Published | |
plymouth.journal | Wmu Journal of Maritime Affairs | |
dc.identifier.doi | 10.1007/s13437-019-00162-2 | |
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/Faculty of Science and Engineering/School of Engineering, Computing and Mathematics/SoECM - Manual | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA | |
plymouth.organisational-group | /Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics | |
plymouth.organisational-group | /Plymouth/Users by role | |
plymouth.organisational-group | /Plymouth/Users by role/Academics | |
dcterms.dateAccepted | 2019-01-07 | |
dc.rights.embargodate | 2020-1-28 | |
dc.identifier.eissn | 1654-1642 | |
dc.rights.embargoperiod | Not known | |
rioxxterms.versionofrecord | 10.1007/s13437-019-00162-2 | |
rioxxterms.licenseref.uri | http://www.rioxx.net/licenses/all-rights-reserved | |
rioxxterms.licenseref.startdate | 2019-01-28 | |
rioxxterms.type | Journal Article/Review |