Abstract
For future fully autonomous vehicles, systems that utilize external sensors to recognize and judge the surrounding environment will become necessary. LiDAR plays an excellent role in autonomous driving because it provides accurate information by forming a 3D map. However, if the LiDAR sensor malfunctions and provides incorrect information, self-driving cars may be exposed to dangerous situations on the road. Many prior studies have recently been published demonstrating severe physical LiDAR spoofing attacks to induce obstacle misdetection. While existing research focuses on physically accessible spoofing attacks, this paper proposes an Ethernet data packet injection attack that can occur on a network using the Velodyne LiDAR VLP-16 (PUCK) sensor. The proposed method generated Ethernet data packets by replacing them with meaningless values based on analysis of Ethernet data packets on the network. A DoS attack was performed by injecting a large amount of data based on this. Additionally, based on these attacks, we would like to present a response methodology for LiDAR ethernet DoS attacks.
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Acknowledgments
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2021R1A4A2001810) (NRF-2018R1A4A1025632), This work was supported by Institute for Information & communications Technology Planning & Evaluation (IITP) grant funded by the Korea government (MSIT) (No. 2022-0-01197, Convergence security core talent training business (Soon Chun Hyang University)).
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Kim, Y., Oh, I., Hwang, J., Jeong, M., Yim, K. (2024). Effect of DoS Attack into LiDAR Ethernet. In: Barolli, L. (eds) Innovative Mobile and Internet Services in Ubiquitous Computing. IMIS 2024. Lecture Notes on Data Engineering and Communications Technologies, vol 214. Springer, Cham. https://doi.org/10.1007/978-3-031-64766-6_8
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DOI: https://doi.org/10.1007/978-3-031-64766-6_8
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