Issue |
Security and Safety
Volume 2, 2023
Security and Safety in Unmanned Systems
|
|
---|---|---|
Article Number | 2023027 | |
Number of page(s) | 19 | |
Section | Intelligent Transportation | |
DOI | https://doi.org/10.1051/sands/2023027 | |
Published online | 16 October 2023 |
Research Article
Systematic assessment of cyber-physical security of lane keeping control system for autonomous vehicles
1
Department of Control Science and Engineering, Tongji University, Shanghai, 200092, China
2
Clean Energy Automotive Engineering Center, Tongji University, Shanghai, 201804, China
3
Dongfeng Technical Center, Dongfeng Motor Corporation, Wuhan, 430056, China
* Corresponding author (email: guoll21@tongji.edu.cn)
Received:
15
March
2023
Revised:
5
June
2023
Accepted:
17
August
2023
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.
Key words: cyber-physical system / cyber-security / autonomous vehicles / impact analysis / critical metrics
Citation: Wang Y, Huang A and Yang F et al. Systematic assessment of cyber-physical security of lane keeping control system for autonomous vehicles. Security and Safety 2023; 2: 2023027. https://doi.org/10.1051/sands/2023027
© The Author(s) 2023. Published by EDP Sciences and China Science Publishing & Media Ltd.
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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