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Affected vehicle population in automotive cyber risk assessments
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Fowler, Daniel S. and Maple, Carsten (2022) Affected vehicle population in automotive cyber risk assessments. In: Competitive Advantage in the Digital Economy CADE 2022, Venice, Italy, 13-15 Jun 2022. Published in: Competitive Advantage in the Digital Economy (CADE 2022) pp. 11-16. ISBN 9781839537424. doi:10.1049/icp.2022.2025
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Official URL: https://doi.org/10.1049/icp.2022.2025
Abstract
The computerised and connected car brings with it the possibility of cyber-attacks. The automotive industry is addressing the cyber threat with new regulations and standards. As a result, cyber risk assessments will become part of the systems engineering process as vehicle manufacturers build cyber resilience and trust into their products. This work examines an overlooked aspect of automotive cyber threats, that of the affected vehicle population as a risk rating impact factor. It examines real-world attacks for a qualitatively affected population and then uses UK vehicle statistics to see if the qualitative population can be related to physical quantities. A vehicle population risk rating impact factor was derived from the real-world UK vehicle data; however, limitations exist, and further work is required to quantify other vehicle risk assessment impact and likelihood factors.
Item Type: | Conference Item (Paper) | ||||||||||
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Subjects: | H Social Sciences > HD Industries. Land use. Labor > HD61 Risk Management Q Science > QA Mathematics > QA76 Electronic computers. Computer science. Computer software T Technology > TL Motor vehicles. Aeronautics. Astronautics |
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Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||||||
Library of Congress Subject Headings (LCSH): | Vehicular ad hoc networks (Computer networks), Automated vehicles, Intelligent transportation systems, Automated vehicles -- Safety measures, Computer security, Motor vehicle industry -- Risk Management, Motor vehicle industry -- Security measures | ||||||||||
Journal or Publication Title: | Competitive Advantage in the Digital Economy (CADE 2022) | ||||||||||
Publisher: | IET | ||||||||||
ISBN: | 9781839537424 | ||||||||||
Official Date: | 2022 | ||||||||||
Dates: |
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Page Range: | pp. 11-16 | ||||||||||
DOI: | 10.1049/icp.2022.2025 | ||||||||||
Status: | Peer Reviewed | ||||||||||
Publication Status: | Published | ||||||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||||||
Copyright Holders: | Daniel S Fowler, Carsten Maple, WMG, IET, IEEE | ||||||||||
Date of first compliant deposit: | 25 May 2022 | ||||||||||
Date of first compliant Open Access: | 25 May 2022 | ||||||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||||||
Title of Event: | Competitive Advantage in the Digital Economy CADE 2022 | ||||||||||
Type of Event: | Conference | ||||||||||
Location of Event: | Venice, Italy | ||||||||||
Date(s) of Event: | 13-15 Jun 2022 |
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