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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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author Kim, Dongsung
Song, Yuchan
Kwon, Soonhyeon
Kim, Haerin
Yoo, Jeong Do
Kim, Huy Kang
author_facet Kim, Dongsung
Song, Yuchan
Kwon, Soonhyeon
Kim, Haerin
Yoo, Jeong Do
Kim, Huy Kang
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.
format Preprint
id arxiv_https___arxiv_org_abs_2212_09268
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle UAVCAN Dataset Description
Kim, Dongsung
Song, Yuchan
Kwon, Soonhyeon
Kim, Haerin
Yoo, Jeong Do
Kim, Huy Kang
Cryptography and Security
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.
title UAVCAN Dataset Description
topic Cryptography and Security
url https://arxiv.org/abs/2212.09268