Hardening the CAV Ecosystem to Reduce Cybersecurity Risks - Year One
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Abstract
In this project, we have taken a multi-pronged framework to comprehensively study how to harden and secure the connected and automated vehicle (CAV) ecosystem by simultaneously considering cybersecurity threats posed to CAVs and physical and cyber transportation infrastructure that support CAV operations. We have also explored how to leverage intelligent collaborations amongCAVs and between CAVs and physical/cyber transportation infrastructures to develop solutions to defend the CAV ecosystem against both physical and cyber threats in a holistic fashion. More specifically, we have carried out major research activities along four key aspects including CAV ecosystem threat analysis and risk assessment (TARA), shared state approach against cybersecurity attacks on CAV teleoperation, robust collaborative perception under lossy networks, and infrastructure-based anomaly detection.
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CTS 26-01
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Funding for this research was provided by the Center for Connected and Automated Transportation (CCAT) under Grant No. 69A3551747105 of the U.S. Department of Transportation, Office of the Assistant Secretary for Research and Technology (OST-R), University Transportation Centers Program.
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USDOT CCAT Project No. CTS 26-01
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Zhang, Zhi-Li; Mao, Z. Morley; Feng, Yiheng. (2026). Hardening the CAV Ecosystem to Reduce Cybersecurity Risks - Year One. Retrieved from the University Digital Conservancy, https://hdl.handle.net/11299/277891.
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