@article{ref1,
title="A detection method for cyber-attack on connected signal phase and timing information",
journal="Transportmetrica B: transport dynamics",
year="2022",
author="Hu, Jia and Qi, Longqian and Zhang, Zihan and Yang, Xianfeng Terry and Wang, Haoran and Li, Xin",
volume="10",
number="1",
pages="731-751",
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%.<p /> <p>Language: en</p>",
language="en",
issn="2168-0566",
doi="10.1080/21680566.2022.2039323",
url="http://dx.doi.org/10.1080/21680566.2022.2039323"
}