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Bibliographic Details
Main Authors: Kim, Dongsung, Song, Yuchan, Kwon, Soonhyeon, Kim, Haerin, Yoo, Jeong Do, Kim, Huy Kang
Format: Preprint
Published: 2022
Subjects:
Online Access:https://arxiv.org/abs/2212.09268
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Table of Contents:
  • We collected attack data from unmanned vehicles using the UAVCAN protocol, and public and described technical documents. A testbed was built with a drone using PX4, and a total of three attacks, Flooding, Fuzzy, and Replay, were performed. The attack was carried out in a total of 10 scenarios. We expect that the attack data will help develop technologies such as anomaly detection to solve the security threat problem of drones.