Wi-Fi-based Detection of GNSS Spoofing Attacks

GNSS spoofing is a growing threat to UAV operations, especially in decentralized drone swarms. In this paper, we present both a practical spoofing attack and a lightweight detection algorithm based on Wi-Fi RSSI and GNSS coordinates. The attack selectively compromises drones by transmitting a subset of satellite signals, causing drones to calculate wrong positions. Our detection method leverages geometric consistency checks to validate GNSS-based positions without requiring any infrastructure or additional sensors. Simulation results show that the proposed attack successfully misleads victim drones, and that the detection method reliably helps drones identify such attacks.