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Effect of DoS Attack into LiDAR Ethernet

  • Yoonji Kim,
  • Insu Oh,
  • Jiung Hwang,
  • Minchan Jeong,
  • Kangbin Yim

摘要

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.