A detection method for cyber-attack on connected signal phase and timing information. Issue 1 (31st December 2022)

• Record Type: Journal Article
• Authors: Hu, Jia; Qi, Longqian; Zhang, Zihan; Yang, Xianfeng Terry; Wang, Haoran; Li, Xin
• Is Part Of: Transportmetrica. Volume 10:Issue 1(2022)
• Page Start: 731
• Page End: 751
• Publication Date: 2022-12-31
• Subjects: SPaT -- CV technology -- cybersecurity -- signal timing -- cyber-attack; Transportation -- Mathematical models -- Periodicals; 388.015118
• DOI: 10.1080/21680566.2022.2039323
• Languages: English
• ISSNs: 2168-0566

Abstract

Abstract : This paper proposes a method to detect cyber-attacks by cross-checking Signal Phase and Timing (SPaT) information and connected vehicle trajectories data. The proposed method is only applicable to cyber-attacks that involve information tempering. The proposed V2I cyber-attacks detection algorithm includes the following features: i) effective in detecting the authenticity of broad-casted SPaT information; ii) feasible to identify the occurrence of cyber-attacks when the defensive function fails; iii) functional in the environment of partially connected and automated traffic; iv) leveraging transportation knowledge for cybersecurity assurance. Furthermore, a sensitivity analysis on the connected vehicle penetration rate is conducted. The best performance is observed when the penetration rate is 100%. Under this penetration rate, the experimental result demonstrates that the accuracy rate of the proposed method reached 94%.