All faculty and students are cordially invited to attend the Ph.D. Qualifying Exam Presentation by Liuwang Kang taking place Friday, November 30, 2018 at 1:00 pm in Rice 108.
Title: Attack Detection and Mitigation for Sensor and CAN Bus Attacks in Vehicle Anti-lock Braking Systems
Abstract: For a modern vehicle, if the sensor in the vehicle Anti-lock Braking System (ABS) or the controller area network (CAN) bus is attacked during the braking process, the vehicle will lose driving direction control and the driver's life will be highly threatened. However, current methods for detecting the attacks are not sufficiently accurate and no method can provide attack mitigation. To ensure vehicle ABS security, we propose an attack detection method to accurately detect both the sensor attack and CAN bus attack in the vehicle ABS, and an attack mitigation strategy to mitigate their negative effects on the vehicle ABS. In our attack detection method, we build a vehicle state space equation which considers real-time road friction coefficient to predict vehicle states (i.e., wheel speed and longitudinal brake force) with their previous values. Based on sets of historical measured vehicle states, we develop a search algorithm to find out the attack changes (vehicle state changes because of the attack) by minimizing the errors between predicted vehicle states and measured vehicle states. In our attack mitigation strategy, the attack changes are subtracted from measured vehicle states to generate correct vehicle states for the vehicle ABS. We conducted the first real sensor attack experiments to show how magnets affect the sensor readings. Our simulation results demonstrate that our attack detection method can detect the sensor attack and CAN bus attack more accurately compared with existing methods, and also our attack mitigation strategy almost eliminates the attack's effects on the vehicle ABS.
Committee Members: Haiying Shen (Advisor), Yuan Tian (Chair), Brian L. Smith (Engineering Systems and Environment), Lu Feng