Mohammed Lamine Bouchouia (Telecom Paris - Institut Polytechnique de Paris), Jean-Philippe Monteuuis (Qualcomm Technologies Inc), Houda Labiod (Telecom Paris - Institut Polytechnique de Paris), Ons Jelassi (Telecom Paris - Institut Polytechnique de Paris), Wafa Ben Jaballah (Thales) and Jonathan Petit (Qualcomm Technologies Inc)

Ensuring the safety of connected and automated vehicles (CAV) is critical for their public adoption. However, security attacks targeting CAVS are a significant deterrent to achieving public trust in AVs. Implementing and testing those attacks and corresponding countermeasures in real road conditions are costly and time-consuming tasks. Thus, an automotive simulator prevents those drawbacks. Therefore, we provide our security simulator for CAVs, which include both V2X and sensors’ data synchronized in simulation time.

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EqualNet: A Secure and Practical Defense for Long-term Network...

Jinwoo Kim (KAIST), Eduard Marin (Telefonica Research (Spain)), Mauro Conti (University of Padua), Seungwon Shin (KAIST)

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ScriptChecker: To Tame Third-party Script Execution With Task Capabilities

Wu Luo (Peking University), Xuhua Ding (Singapore Management University), Pengfei Wu (School of Computing, National University of Singapore), Xiaolei Zhang (Peking University), Qingni Shen (Peking University), Zhonghai Wu (Peking University)

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Car Hacking and Defense Competition on In-Vehicle Network

Hyunjae Kang, Byung Il Kwak, Young Hun Lee, Haneol Lee, Hwejae Lee, and Huy Kang Kim (Korea University)

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Context-Sensitive and Directional Concurrency Fuzzing for Data-Race Detection

Zu-Ming Jiang (Tsinghua University), Jia-Ju Bai (Tsinghua University), Kangjie Lu (University of Minnesota), Shi-Min Hu (Tsinghua University)

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