Abstract
The car CAN (Controller Area Network) bus message injection attacks seriously affects various functions of the safety of cars, life and property. However, low-speed injection attack is detection inconspicuous in a majority of existing researches. This paper proposes a self-contained low-speed injection attacks detection system including whole detection process and principle. This paper first analyzes the feasibility of low-speed injection attacks; then we propose to use LOF (Local Outlier Factor) to detect the injection attack, and compare with the previous detection algorithms. Experimental results show that our algorithm has obvious advantages in detection rate over the previous algorithms.
Supported by NSFC: The United Foundation of General Technology and Fundamental Research (No. U1536122), the General Project of Tianjin Municipal Science and Technology Commission under Grant (No. 15JCYBJC15600), and the Major Project of Tianjin Municipal Science and Technology Commission under Grant (No. 15ZXDSGX00030).
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Wang, C., Li, C., An, T., Cheng, X. (2020). Low-Speed Injection Attack Detection on CAN Bus. In: Xu, G., Liang, K., Su, C. (eds) Frontiers in Cyber Security. FCS 2020. Communications in Computer and Information Science, vol 1286. Springer, Singapore. https://doi.org/10.1007/978-981-15-9739-8_3
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DOI: https://doi.org/10.1007/978-981-15-9739-8_3
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