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Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols.

, , , , , and . USENIX Security Symposium, page 3219-3236. USENIX Association, (2021)

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Automated Discovery of Denial-of-Service Vulnerabilities in Connected Vehicle Protocols., , , , , and . USENIX Security Symposium, page 3219-3236. USENIX Association, (2021)Exposing Congestion Attack on Emerging Connected Vehicle based Traffic Signal Control., , , , and . NDSS, The Internet Society, (2018)A simple forward-backward procedure for real-time signal timing adjustment on oversaturated arterial networks., , and . ITSC, page 1126-1131. IEEE, (2011)Adaptive Testing Scenario Library Generation for Connected and Automated Vehicles., , , , and . CoRR, (2020)Testing Scenario Library Generation for Connected and Automated Vehicles, Part II: Case Studies., , , , , , and . CoRR, (2019)A probabilistic model for missing traffic volume reconstruction based on data fusion., , and . CoRR, (2021)Emergency Evacuation, Dynamic Transportation Models., and . Encyclopedia of GIS, Springer, (2008)Emergency Evacuation, Dynamic Transportation Models., and . Encyclopedia of GIS, Springer, (2017)Testing Scenario Library Generation for Connected and Automated Vehicles, Part I: Methodology., , , , and . CoRR, (2019)Cooperation of Multiple Connected Vehicles at Unsignalized Intersections: Distributed Observation, Optimization, and Control., , , , , and . IEEE Trans. Ind. Electron., 67 (12): 10744-10754 (2020)