As drones become increasingly embedded in civilian systems—from environmental monitoring to disaster relief—the security of their wireless links has emerged as a critical concern. Spoofing and jamming attacks can interfere with navigation or inject false messages, making robust authentication mechanisms… Read More »Challenge-Response to Authenticate Drone Communications: A Game Theoretic Approach
This paper explores a machine-learning approach for detecting jamming attacks in private 5G networks by framing the problem as one-class classification. Rather than relying on prior knowledge of attacker behavior, the authors aim to detect whether a received signal deviates… Read More »One-Class Classification as GLRT for Jamming Detection in Private 5G Networks
In this paper, the authors propose a physical-layer challenge–response authentication (CR-PLA) protocol designed specifically for drone communication. Instead of relying on cryptographic keys, the receiver drone (Bob) authenticates the sender by exploiting location-dependent wireless channel attenuation, influenced by path loss… Read More »Energy-Based Optimization of Physical-Layer Challenge-Response Authentication with Drones