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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2022
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2212.09268 |
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| _version_ | 1866929304284168192 |
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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 |