Jun Ying, Yiheng Feng (Purdue University), Qi Alfred Chen (University of California, Irvine), Z. Morley Mao (University of Michigan and Google)

Connected Vehicle (CV) and Connected and Autonomous Vehicle (CAV) technologies can greatly improve traffic efficiency and safety. Data spoofing attack is one major threat to CVs and CAVs, since abnormal data (e.g., falsified trajectories) may influence vehicle navigation and deteriorate CAV/CV-based applications. In this work, we aim to design a generic anomaly detection model which can be used to identify abnormal trajectories from both known and unknown data spoofing attacks. First, the attack behaviors of two representative known attacks are modeled. Then, Using driving features derived from transportation and vehicle domain knowledge, an anomaly detection framework is proposed. The framework combines a feature extractor and an anomaly classifier trained with known attack trajectories and can be applied to identify falsified trajectories generated by various attacks. In the numerical experiment, a highway segment with a signalized intersection is built in the V2X Application Spoofing Platform (VASP). To evaluate the generality of the proposed anomaly detection algorithm, we further tested the proposed model with several unknown attacks provided in VASP. The results indicate that the proposed model achieves high accuracy in detecting falsified attack trajectories from both known and unknown attacks.

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Zhihao Wu (Zhejiang University), Yushi Cheng (Zhejiang University), Shibo Zhang (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejing University)

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Jiafan Wang (Data61, CSIRO), Sherman S. M. Chow (The Chinese University of Hong Kong)

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5G-Spector: An O-RAN Compliant Layer-3 Cellular Attack Detection Service

Haohuang Wen (The Ohio State University), Phillip Porras (SRI International), Vinod Yegneswaran (SRI International), Ashish Gehani (SRI International), Zhiqiang Lin (The Ohio State University)

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Efficient and Timely Revocation of V2X Credentials

Gianluca Scopelliti (Ericsson & KU Leuven), Christoph Baumann (Ericsson), Fritz Alder (KU Leuven), Eddy Truyen (KU Leuven), Jan Tobias Mühlberg (Université libre de Bruxelles & KU Leuven)

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