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.
Demo #7: A Simulator for Cooperative and Automated Driving Security
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)
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Euler: Detecting Network Lateral Movement via Scalable Temporal Graph...
Isaiah J. King (The George Washington University), H. Howie Huang (The George Washington University)
Read MoreATTEQ-NN: Attention-based QoE-aware Evasive Backdoor Attacks
Xueluan Gong (Wuhan University), Yanjiao Chen (Zhejiang University), Jianshuo Dong (Wuhan University), Qian Wang (Wuhan University)
Read MoreDenial-of-Service Attacks on C-V2X Networks
Natasa Trkulja, David Starobinski (Boston University), and Randall Berry (Northwestern University)
Read MorePhysical Layer Data Manipulation Attacks on the CAN Bus
Abdullah Zubair Mohammed (Virginia Tech), Yanmao Man (University of Arizona), Ryan Gerdes (Virginia Tech), Ming Li (University of Arizona) and...
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