Abstract
The automotive Electronic Control Units (ECUs) are connected by wired link to various sensor and actuator devices to compose an in-vehicle network. The problems of attacks against the in-vehicle networks are becoming more serious. In this paper, we present a simulation-based attacking system for the virtual Controller Area Network (CAN) network. We analyze three fuzzing methods to spoof the speed of speedometer by attackers. From this evaluation results, we found that our simulation system is useful for vehicle speed spoofing and in-vehicle diagnostics.
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Tsuneyoshi, M., Miwata, M., Nishii, D., Ikeda, M., Barolli, L. (2022). A Simulation System for Analyzing Attack Methods in Controller Area Network Using Fuzzing Methods. In: Barolli, L., Yim, K., Chen, HC. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2021. Lecture Notes in Networks and Systems, vol 279. Springer, Cham. https://doi.org/10.1007/978-3-030-79728-7_48
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DOI: https://doi.org/10.1007/978-3-030-79728-7_48
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