Symes, S, Blanco-Davis, E, Graham, T, Wang, J and Shaw, E (2024) The survivability of autonomous vessels from cyber-attacks. Journal of Marine Engineering and Technology. pp. 1-23. ISSN 2046-4177
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Abstract
This literature review is an investigation into the survivability of an automated vessel. More specifically, this study investigates an automated vessel’s susceptibility, vulnerability and ability to recover from a cyber-security-related threat. The future of maritime shipping is trending towards transitioning to automated vessels. Automated vessels have the potential to provide significant financial and logistical benefits for shipping companies and stakeholders. The study aims to evaluate the current survivability features of an automated vessel. To achieve this aim objectively, a literature review was conducted into potential threats to automated vessels, the security features they have to combat said threats, and their ability to recover from a cyberattack. It was conducted with the defined scope of ‘ship survivability’. Moreover, it was filtered into four areas: susceptibility to a threat, vulnerability to the effects of a threat, the ability to recover from an attack and case studies of previous relevant attacks. The result of the literature evaluation indicates a significant vulnerability of automated vessels. Automated vessels were found to have a high susceptibility to cyber-attacks, the effects of which have potentially significant financial effects, a high chance of significant damage to the vessel, a significant chance of injury or fatality and a low ability to recover from an attack. This study can indicate to the marine transport industry the ‘gaps in the market’ concerning the survivability, susceptibility, vulnerability and ability to recover from an attack against an automated vessel.
Item Type: | Article |
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Subjects: | T Technology > TA Engineering (General). Civil engineering (General) V Naval Science > VM Naval architecture. Shipbuilding. Marine engineering |
Divisions: | Engineering |
Publisher: | Taylor and Francis Group |
SWORD Depositor: | A Symplectic |
Date Deposited: | 20 Jan 2025 10:49 |
Last Modified: | 20 Jan 2025 11:00 |
DOI or ID number: | 10.1080/20464177.2024.2428022 |
URI: | https://researchonline.ljmu.ac.uk/id/eprint/25324 |
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