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Cybersecurity framework for connected and automated vehicles: A modelling perspective

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  • Khan, Shah Khalid
  • Shiwakoti, Nirajan
  • Stasinopoulos, Peter
  • Chen, Yilun
  • Warren, Matthew

Abstract

Connected and Automated Vehicles (CAVs) cybersecurity is an inherently complex, multi-dimensional issue that goes beyond isolated hardware or software vulnerabilities, extending to human threats, network vulnerabilities, and broader system-level risks. Currently, no formal, comprehensive tool exists that integrates these diverse dimensions into a unified framework for CAV cybersecurity assessment. This study addresses this challenge by developing a System Dynamics (SD) model for strategic cybersecurity assessment that considers technological challenges, human threats, and public cybersecurity awareness during the CAV rollout. Specifically, the model incorporates a novel SD-based Stock-and-Flow Model (SFM) that maps six key parameters influencing cyberattacks at the system level. These parameters include CAV communication safety, user adoption rates, log file management, hacker capabilities, understanding of hacker motivations (criminology theory maturity), and public awareness of CAV cybersecurity.

Suggested Citation

  • Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Chen, Yilun & Warren, Matthew, 2025. "Cybersecurity framework for connected and automated vehicles: A modelling perspective," Transport Policy, Elsevier, vol. 162(C), pages 47-64.
    • Handle: RePEc:eee:trapol:v:162:y:2025:i:c:p:47-64
    DOI: 10.1016/j.tranpol.2024.11.019
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    1. M M Günal & M Pidd, 2010. "Discrete event simulation for performance modelling in health care: a review of the literature," Journal of Simulation, Taylor & Francis Journals, vol. 4(1), pages 42-51, March.
    2. Ramin Shabanpour & Ali Shamshiripour & Abolfazl Mohammadian, 2018. "Modeling adoption timing of autonomous vehicles: innovation diffusion approach," Transportation, Springer, vol. 45(6), pages 1607-1621, November.
    3. Cho, Yonghee & Yoon, Seong-Pil & Kim, Karp-Soo, 2016. "An industrial technology roadmap for supporting public R&D planning," Technological Forecasting and Social Change, Elsevier, vol. 107(C), pages 1-12.
    4. Nelson P. Repenning, 2002. "A Simulation-Based Approach to Understanding the Dynamics of Innovation Implementation," Organization Science, INFORMS, vol. 13(2), pages 109-127, April.
    5. Khan, Shah Khalid & Shiwakoti, Nirajan & Diro, Abebe & Molla, Alemayehu & Gondal, Iqbal & Warren, Matthew, 2024. "Space cybersecurity challenges, mitigation techniques, anticipated readiness, and future directions," International Journal of Critical Infrastructure Protection, Elsevier, vol. 47(C).
    6. Tesleem Fagade & Konstantinos Maraslis & Theo Tryfonas, 2017. "Towards effective cybersecurity resource allocation: the Monte Carlo predictive modelling approach," International Journal of Critical Infrastructures, Inderscience Enterprises Ltd, vol. 13(2/3), pages 152-167.
    7. Sheehan, Barry & Murphy, Finbarr & Mullins, Martin & Ryan, Cian, 2019. "Connected and autonomous vehicles: A cyber-risk classification framework," Transportation Research Part A: Policy and Practice, Elsevier, vol. 124(C), pages 523-536.
    8. Khan, Shah Khalid & Shiwakoti, Nirajan & Stasinopoulos, Peter & Chen, Yilun & Warren, Matthew, 2024. "The impact of perceived cyber-risks on automated vehicle acceptance: Insights from a survey of participants from the United States, the United Kingdom, New Zealand, and Australia," Transport Policy, Elsevier, vol. 152(C), pages 87-101.
    9. Xiong Zhang & Alex Tsang & Wei T. Yue & Michael Chau, 2015. "The classification of hackers by knowledge exchange behaviors," Information Systems Frontiers, Springer, vol. 17(6), pages 1239-1251, December.
    10. Puylaert, S. & Snelder, M. & van Nes, R. & van Arem, B., 2018. "Mobility impacts of early forms of automated driving – A system dynamic approach," Transport Policy, Elsevier, vol. 72(C), pages 171-179.
    11. Li, Shuying & Garces, Edwin & Daim, Tugrul, 2019. "Technology forecasting by analogy-based on social network analysis: The case of autonomous vehicles," Technological Forecasting and Social Change, Elsevier, vol. 148(C).
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