Bibliographic Details
| Title: |
Jamming Detection for IR-UWB Ranging Technology in Autonomous UAV Swarms |
| Authors: |
Mykytyn, Pavlo, Brzozowski, Marcin, Dyka, Zoya, Langendoerfer, Peter |
| Source: |
2021 10th MEDITERRANEAN CONFERENCE ON EMBEDDED COMPUTING, p. 81-86 |
| Publication Year: |
2022 |
| Collection: |
Computer Science |
| Subject Terms: |
Computer Science - Cryptography and Security |
| More Details: |
Jamming is a form of the Denial of Service (J-DoS) attack. It is a significant threat that causes malfunction in Unmanned Aerial Vehicle systems, especially when used in hostile environments. The attackers mainly operate in the wireless communication environment by following a few preexisting scenarios. In this paper, we propose an idea for a Jamming detection mechanism. The mechanism utilizes the network parameters available to the system and some additional measures to distinguish between bad transmission quality and Jamming to avoid false positive alarms. After detecting a Jamming attack, appropriate countermeasures or mitigation techniques can be applied to keep the system safe.
Comment: 6 pages, 1 figure |
| Document Type: |
Working Paper |
| DOI: |
10.1109/MECO52532.2021.9460250 |
| Access URL: |
http://arxiv.org/abs/2201.04425 |
| Accession Number: |
edsarx.2201.04425 |
| Database: |
arXiv |
