Systematic assessment of cyber-physical security of lane keeping control system for autonomous vehicles

Abstract

In this article, a systematic assessment of cyber-physical security is developed for the lane-keeping control (LKC) system of autonomous vehicles (AVs), which has not been attempted before. A novel impact analysis methodology for typical cyber-attacks is proposed with new evaluation metrics from the viewpoint of safety and performance and innovative index-based resilience and security criteria. Specifically, a security criterion is investigated by tracking performance, comfort and vehicle stability to evaluate the safety and security of the vehicle LKC system. Hardware-in-the-Loop (HiL) experimental results show that the proposed evaluation metrics are effective in analyzing the impact of cyber-attacks on the commercial LKC system of Dongfeng Motor comprehensively. Finally, the conclusion provides guidelines for attack detection, diagnosis, and countermeasures for AVs.

Keywords

• cyber-physical system
• cyber-security
• autonomous vehicles
• impact analysis
• critical metrics