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A profile-driven dynamic risk assessment framework for connected and autonomous vehicles
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Le, Anhtuan, Maple, Carsten and Watson, Tim (2018) A profile-driven dynamic risk assessment framework for connected and autonomous vehicles. In: Living in the Internet of Things: Cybersecurity of the IoT - 2018, London, 28-29 Mar 2018. Published in: Proceedings of Living in the Internet of Things: Cybersecurity of the IoT - 2018 pp. 1-8. ISBN 9781785618437. doi:10.1049/cp.2018.0020
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Official URL: http://dx.doi.org/10.1049/cp.2018.0020
Abstract
The Internet of Things has already demonstrated clear benefits when applied in many areas. In connected and autonomous vehicles (CAV), IoT data can help the autonomous systems make better decisions for safer and more secure transportation. For example, different IoT data sources can extend CAV's risk awareness, while the incoming data can update these risks in real-time for faster reactions that may mitigate possible damages. However, the current state of the art CAV research has not addressed this matter well enough. This paper proposes a profile-driven approach to manage IoT data in the context of CAV systems through a dynamic risk management framework. Unlike the current inflexible risk assessment strategies, the framework encourages more flexible investigation of risks through different risk profiles, each representing risk knowledge through a set of risk input considerations, assessment methods and optimal reaction strategies. As the risks change frequently with time and location, there will be no single profile that can cover all the risks that CAVs face on the road. The uses of different risk profiles, therefore can help interested parties to better understand the risks and adapt to various situations appropriately. Our framework includes the effective management of IoT data sources to enable the run-time risk assessment. We also describe a case study of using the proposed framework to manage the risks for the POD being developed in the Innovate UK-funded CAPRI project.
Item Type: | Conference Item (Paper) | ||||||
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Subjects: | T Technology > TL Motor vehicles. Aeronautics. Astronautics | ||||||
Divisions: | Faculty of Science, Engineering and Medicine > Engineering > WMG (Formerly the Warwick Manufacturing Group) | ||||||
Library of Congress Subject Headings (LCSH): | Autonomous vehicles, Internet of things | ||||||
Journal or Publication Title: | Proceedings of Living in the Internet of Things: Cybersecurity of the IoT - 2018 | ||||||
Publisher: | IET | ||||||
ISBN: | 9781785618437 | ||||||
Book Title: | Living in the Internet of Things: Cybersecurity of the IoT - 2018 | ||||||
Official Date: | 2018 | ||||||
Dates: |
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Page Range: | pp. 1-8 | ||||||
DOI: | 10.1049/cp.2018.0020 | ||||||
Status: | Peer Reviewed | ||||||
Publication Status: | Published | ||||||
Access rights to Published version: | Restricted or Subscription Access | ||||||
Date of first compliant deposit: | 31 July 2018 | ||||||
Date of first compliant Open Access: | 31 July 2018 | ||||||
RIOXX Funder/Project Grant: |
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Conference Paper Type: | Paper | ||||||
Title of Event: | Living in the Internet of Things: Cybersecurity of the IoT - 2018 | ||||||
Type of Event: | Conference | ||||||
Location of Event: | London | ||||||
Date(s) of Event: | 28-29 Mar 2018 |
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