On the Cybersecurity of the Smart Transportation System with Connected and Automated Vehicles
Connected and automated vehicle (CAV) technology brings both opportunities and challenges to the transportation system. The vulnerabilities in onboard sensors and communications between vehicles and infrastructure may increase the risks of cyber threats. In this talk, I will introduce our recent work that utilizes transportation engineering domain knowledge to analyze the cybersecurity of the smart transportation system with CAVs including threat modeling, mitigation solutions, and test and evaluation. Two case studies will be presented. One case study investigates the cybersecurity of the connected vehicle based traffic signal control system and the second case study investigates the localization system security of the autonomous vehicle.
Dr. Yiheng Feng is an assistant professor at Lyles School of Engineering, Purdue University. He received his Ph.D. from
Department of Systems and Industrial Engineering at University of Arizona. His research areas include connected and automated vehicles (CAVs) and smart transportation infrastructure, with a focus on cooperative driving automation and transportation system cybersecurity. He has served as PI and Co-PI in many research projects funded by NSF, USDOT, and USDOE. His work appeared in top journals including Nature Communications, Transportation Research Part B/C, and IEEE Transactions on ITS. He is the co-chair of the Traffic Signal Systems Committee Simulation Subcommittee at Transportation Research Board and serves as an editorial board member of Transportation Research Part C. He is the recipient of the inaugural best dissertation award from Chinese Overseas Transportation Association (COTA) in 2015 and INFORMS ITS best paper award in 2021.