Research on cybersecurity of CAN bus for ICV

Xu Liu; Jing Liu; Haijun Wang; Xingpei Bian; Meng Han; Wenxia Ji

doi:10.1117/12.3049596

27 September 2024 Research on cybersecurity of CAN bus for ICV

Xu Liu, Jing Liu, Haijun Wang, Xingpei Bian, Meng Han, Wenxia Ji

Proceedings Volume 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024); 132841L (2024) https://doi.org/10.1117/12.3049596
Event: Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 2024, Hangzhou, China

Abstract

This paper mainly focuses on the information security threats faced by automotive CAN bus, and constructs a framework based on threat analysis and risk assessment, aiming at identifying, assessing and mitigating the impact of these threats on automotive network security. The framework based on threat analysis and risk assessment CAN effectively improve the information security level of automotive CAN bus, which has important theoretical and practical significance for automotive network security management. Through the experiment of attack recognition rate, the research technique achieves 90%, 85% and 95% high recognition rate under replay attack, fuzzy attack and DoS(Denial of service) attack respectively. It CAN be seen from the data conclusion that the framework based on threat analysis and risk assessment has high effectiveness and practicability in CAN bus information security protection.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Xu Liu, Jing Liu, Haijun Wang, Xingpei Bian, Meng Han, and Wenxia Ji "Research on cybersecurity of CAN bus for ICV", Proc. SPIE 13284, Third International Conference on Intelligent Mechanical and Human-Computer Interaction Technology (IHCIT 2024), 132841L (27 September 2024); https://doi.org/10.1117/12.3049596

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