Conceptualizing and Modeling Communication-Based Cyberattacks on Automated Vehicles Article Swipe

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YOU? · · 2025 · Open Access · · DOI: https://doi.org/10.48550/arxiv.2510.02364

Adaptive Cruise Control (ACC) is rapidly proliferating across electric vehicles (EVs) and internal combustion engine (ICE) vehicles, enhancing traffic flow while simultaneously expanding the attack surface for communication-based cyberattacks. Because the two powertrains translate control inputs into motion differently, their cyber-resilience remains unquantified. Therefore, we formalize six novel message-level attack vectors and implement them in a ring-road simulation that systematically varies the ACC market penetration rates (MPRs) and the spatial pattern of compromised vehicles. A three-tier risk taxonomy converts disturbance metrics into actionable defense priorities for practitioners. Across all simulation scenarios, EV platoons exhibit lower velocity standard deviation, reduced spacing oscillations, and faster post-attack recovery compared to ICE counterparts, revealing an inherent stability advantage. These findings clarify how controller-to-powertrain coupling influences vulnerability and offer quantitative guidance for the detection and mitigation of attacks in mixed automated traffic.

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Type: preprint
Language: en
Landing Page: http://arxiv.org/abs/2510.02364
PDF: https://arxiv.org/pdf/2510.02364
OA Status: green
OpenAlex ID: https://openalex.org/W4416368047

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OpenAlex ID: https://openalex.org/W4416368047

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DOI: https://doi.org/10.48550/arxiv.2510.02364

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Title: Conceptualizing and Modeling Communication-Based Cyberattacks on Automated Vehicles

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Type: preprint

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Language: en

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Publication year: 2025

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Publication date: 2025-09-28

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Authors: Tianyu Liu, Yuanyuan Yang

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Landing page: https://arxiv.org/abs/2510.02364

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PDF URL: https://arxiv.org/pdf/2510.02364

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Open access: Yes

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OA status: green

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OA URL: https://arxiv.org/pdf/2510.02364

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Cited by: 0

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