Hardening the CAV Ecosystem to Reduce Cybersecurity Risks – Year One [Final Report]

Zhang, Zhi-Li; Mao, Z.Morley; Feng, Yiheng

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Hardening the CAV Ecosystem to Reduce Cybersecurity Risks – Year One [Final Report]

2026-01-01
By Zhang, Zhi-Li ; Mao, Z.Morley ; Feng, Yiheng

File Language:

English

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Creators:

Zhang, Zhi-Li ; Mao, Z.Morley ; Feng, Yiheng
Corporate Creators:

University of Michigan ; Purdue University ; Center for Connected and Automated Transportation (CCAT) ; University of Minnesota. Center for Transportation Studies
Corporate Contributors:

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
Subject/TRT Terms:

5G Networks Artificial Intelligence Autonomous Vehicles Case Studies Cellular Networks Cellular V2XCommunications Computer Security Connected Vehicles Cooperation Cooperative Perception Data Data Injection Attack Detectors Infrastructure Machine Learning Perception Physical Security Risk Assessment Security Threat Analysis And Risk Assessment Threats Vehicle To Vehicle Communications
Publication/ Report Number:

CTS 26-01
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report (October 2023 – September 2025)
Corporate Publisher:

University of Michigan. Center for Connected and Automated Transportation
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 among CAVs 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.
Format:

PDF
Funding:

69A3551747105
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:7efd7cd8b20ffd4673489c4afa2657602f403af565a92c4c01ccc1c93d382959b899513931b75665ea3ccea654026e2415dd1e6829f799d1f4ea4ca9ae9d8967
Download URL:

https://rosap.ntl.bts.gov/view/dot/89125/dot_89125_DS1.pdf
File Type:

[PDF - 6.17 MB ]

File Language:

English

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