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A simulation framework for automotive cybersecurity risk assessment

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Abstract

Human-initiated disruptions such as cyberattacks on connected vehicles have the potential to cause cascading failures in transport systems, leading to systemic risks. ‘ISO/SAE 21434:2021 Road vehicles - Cybersecurity engineering’ is the current standard for risk management of road vehicles. However, the threat analysis and risk assessment framework given in the standard focuses on asset-level analysis and assessment. Hence, this study develops a novel simulation-based framework to perform threat analysis and risk assessment on connected vehicles from a transport network perspective. The proposed framework is developed based on the ISO/SAE 21434 threat analysis and risk assessment methodology. We demonstrate the applicability and usefulness of the framework through a remote attack via the cellular network on the in-vehicle communication bus system of a connected vehicle to show the potential impacts on the transport network. Based on the findings of our case studies, we exemplify how cyberattacks on individual system components of a connected vehicle have the potential to cause systemic failures.
Original languageEnglish
Article number103005
Number of pages16
JournalSimulation Modelling Practice and Theory
Volume136
Early online date31 Jul 2024
DOIs
Publication statusPublished - 1 Nov 2024

Bibliographical note

/© 2024 The Author(s).
This is an Open Access article distributed under the terms of the Creative
Commons Attribution License (http://creativecommons.org/licenses/by/4.0/),
which permits unrestricted use, distribution, and reproduction in any medium,
provided the original work is properly cited..

Funder

This work was supported by Coventry University and the A*STAR Research Attachment Programme (ARAP) .

Funding

This work was supported by Coventry University and the A*STAR Research Attachment Programme (ARAP) .

Funders
Coventry University
The Agency for Science, Technology and Research of Singapore

    Keywords

    • Connected vehicles
    • Automotive cybersecurity
    • Risk assessment
    • Simulation

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