Jamming Detection for IR-UWB Ranging Technology in Autonomous UAV Swarms

TL;DR

This paper proposes a jamming detection mechanism for IR-UWB ranging in UAV swarms that uses network parameters to identify attacks and prevent false alarms, enhancing system robustness in hostile environments.

Contribution

It introduces a novel jamming detection method leveraging existing network parameters and additional measures to accurately identify jamming without false positives.

Findings

Effective detection of jamming attacks demonstrated

Reduced false positive rate in jamming detection

Enhanced resilience of UAV swarm communication systems

Abstract

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.