A novel cyber-risk assessment method for ship systems
Bolbot, Victor and Theotokatos, Gerasimos and Boulougouris, Evangelos and Vassalos, Dracos (2020) A novel cyber-risk assessment method for ship systems. Safety Science, 131. 104908. ISSN 0925-7535 (https://doi.org/10.1016/j.ssci.2020.104908)
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Abstract
Recent advances in the maritime industry include research and development of new sophisticated ships with a number of smart functionalities and enhanced autonomy. The new functions and autonomy levels though come at the cost of increased connectivity. This results in increased ship vulnerability to cyber-attacks, which may lead to financial loss, environmental pollution, safety accidents. The aim of this study is to propose a novel method for cybersecurity risk assessment of ship systems. In this novel method, the Cyber-Preliminary Hazard Analysis method steps are enriched with new steps supporting the identification of cyber-attack scenarios and the risk assessment implementation. The proposed method is applied for the cyber-risk assessment and design enhancement of the navigation and propulsion systems of an inland waterways autonomous vessel. The results demonstrate that several critical scenarios can arise on the investigated autonomous vessel due to known vulnerabilities. These can be sufficiently controlled by introducing appropriate modifications to the systems design.
ORCID iDs
Bolbot, Victor ORCID: https://orcid.org/0000-0002-1883-3604, Theotokatos, Gerasimos ORCID: https://orcid.org/0000-0003-3547-8867, Boulougouris, Evangelos ORCID: https://orcid.org/0000-0001-5730-007X and Vassalos, Dracos ORCID: https://orcid.org/0000-0002-0929-6173;-
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Item type: Article ID code: 73404 Dates: DateEvent30 November 2020Published23 July 2020Published Online6 July 2020AcceptedSubjects: Naval Science > Naval architecture. Shipbuilding. Marine engineering Department: Faculty of Engineering > Naval Architecture, Ocean & Marine Engineering Depositing user: Pure Administrator Date deposited: 30 Jul 2020 14:54 Last modified: 20 Nov 2024 07:00 URI: https://strathprints.strath.ac.uk/id/eprint/73404