preprint
Open access
UAVCAN Dataset Description
Research footprint
At a glance
- Citations
- 12
- References
- 0
- Comments
- 0
Paper overview
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.
Record transparency
Publication details
- DOI
- 10.48550/arxiv.2212.09268
- OpenAlex
- W4312050763
- Document type
- preprint
- Language
- EN
- Source
- arXiv (Cornell University)
- Last metadata update
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