T-PAAD: Trajectory Privacy Attack on Autonomous Driving

摘要

Despite extensive research efforts over the last decade, security and privacy concerns on self-driving cars and other autonomous vehicles are still prevalent. This paper presents a new possible attack, Trajectory Privacy Attack on Autonomous Driving (T-PAAD), which aims to deanonymize trajectories by exploiting the relation between autonomous vehicles path planning algorithms and trajectories.