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

Motivated by ample evidence in the automotive cybersecurity literature that the car brake ECUs can be maliciously reprogrammed, it has been shown that an adversary who can directly control the frictional brake actuators can induce wheel lockup conditions despite having a limited knowledge of the tire-road interaction characteristics. In this paper, we investigate the destabilizing effect of such wheel lockup attacks on the lateral motion stability of vehicles from a robust stability perspective. Furthermore, we propose a quadratic programming (QP) problem that the adversary can solve for finding the optimal destabilizing longitudinal slip reference values.

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Zhisheng Hu (Baidu Security), Junjie Shen (UC Irvine), Shengjian Guo (Baidu Security), Xinyang Zhang (Baidu Security), Zhenyu Zhong (Baidu Security), Qi Alfred Chen (UC Irvine) and Kang Li (Baidu Security)

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All things Binary

Dr. Sergey Bratus, DARPA PI and Research Associate Professor at Dartmouth College

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A Lightweight IoT Cryptojacking Detection Mechanism in Heterogeneous Smart...

Ege Tekiner (Florida International University), Abbas Acar (Florida International University), Selcuk Uluagac (Florida International University)

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Demo #9: Dynamic Time Warping as a Tool for...

Mars Rayno (Colorado State University) and Jeremy Daily (Colorado State University)

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