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

Cybersecurity competitions can promote the importance of security and discover talented researchers. We hosted the Car Hacking: Attack & Defense Challenge from September 14, 2020 to November 27, 2020, and many security companies and researchers participated. To the best of our knowledge, it is the first competition to contest both attack and detection techniques on an in-vehicle network, specifically Controller Area Network (CAN). The participants developed various injection attacks and high-performance detection algorithms based on the real vehicle environment. Rule-based and ensemble tree-based models dominated the final round. Also, time interval and data byte patterns worked as major features to detect attacks.

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MUVIDS: False MAVLink Injection Attack Detection in Communication for...

Seonghoon Jeong, Eunji Park, Kang Uk Seo, Jeong Do Yoo, and Huy Kang Kim (Korea University)

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Demo #15: Remote Adversarial Attack on Automated Lane Centering

Yulong Cao (University of Michigan), Yanan Guo (University of Pittsburgh), Takami Sato (UC Irvine), Qi Alfred Chen (UC Irvine), Z. Morley Mao (University of Michigan) and Yueqiang Cheng (NIO)

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Vehicle Lateral Motion Stability Under Wheel Lockup Attacks

Alireza Mohammadi (University of Michigan-Dearborn) and Hafiz Malik (University of Michigan-Dearborn)

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WIP: On Robustness of Lane Detection Models to Physical-World...

Takami Sato (UC Irvine) and Qi Alfred Chen (UC Irvine)

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