H. Naser

Detection and Mitigation of Data Integrity Attacks in Vehicle Platoons Using Unknown-Input Kalman Filters and Penalized Weighted Least Squares.

This study enhances the security of vehicle platoon systems against false data injection attacks (FDIAs), which can compromise critical states, such as position, velocity, and acceleration. The proposed approach ensures safe and stable autonomous vehicle coordination by detecting and mitigating such attacks under flexi...