Secure UAV Swarms in Low-Altitude Wireless Networks: Challenges and Solutions
For researchers and engineers deploying secure UAV swarms in low-altitude networks, this work provides a comprehensive defense framework but is incremental, combining known techniques.
This paper addresses security risks in UAV swarms (GPS spoofing, insider threats, multi-hop intrusion) by proposing a cloud-edge-end collaborative defense framework with three mechanisms: cooperative perception via game modeling, behavior-driven authentication, and multi-agent attack forensics. Experiments validate the approaches.
Unmanned aerial vehicle (UAV) swarms are increasingly deployed in vast low-altitude applications, owing to their capabilities in distributed sensing, flexible communication, and autonomous coordination. Nevertheless, the open and highly dynamic operating environment of UAV swarms introduces serious security risks, including GPS spoofing, insider threats, and multi-hop intrusion. These threats are aggravated by limited on-board resources, frequently changing network topology, and the presence of intelligent adversaries. To tackle these issues, this paper proposes a cloud-edge-end collaborative defense framework for UAV swarms. Based on this framework, three complementary mechanisms are developed. First, a cooperative perception scheme is designed to resist GPS spoofing via interactive attack-defense game modeling. Second, a behavior-driven authentication method with trust evaluation is developed to mitigate insider threats. Third, a multi-agent attack forensics framework is devised to intelligently trace the propagation paths of multi-hop attacks in UAV networks. Experimental results validate the effectiveness of the proposed approaches. Finally, several open research directions are outlined.