arXiv · 2212.09268
UAVCAN Dataset Description
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.
Explore related subjects
Keep this discovery
Dongsung Kim, Yuchan Song, Soonhyeon Kwon, Haerin Kim, Jeong Do Yoo, Huy Kang Kim. 2022-12-19. UAVCAN Dataset Description. https://arxiv.org/abs/2212.09268
Cite the original work for its findings. Save a collection to share your selection of sources.