Jamming Detection for IR-UWB Ranging Technology in Autonomous UAV Swarms
This addresses a security threat for UAV systems in hostile environments, but the approach appears incremental as it builds on existing network parameters without introducing a new paradigm.
The paper tackles the problem of jamming attacks in autonomous UAV swarms using IR-UWB ranging technology, proposing a detection mechanism that distinguishes jamming from poor transmission quality to reduce false positives, but no concrete results or numbers are provided.
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.