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UAVCAN Dataset Description

  • arXiv (Cornell University)
  • Cornell University
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Abstract

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.

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Publication details

DOI
10.48550/arxiv.2212.09268
OpenAlex
W4312050763
Document type
preprint
Language
EN
Source
arXiv (Cornell University)
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