Metric Learning for Generalizable Cyber Attack Detection in Unmanned Aerial Vehicles
Unmanned aerial vehicles (UAVs) operate as cyber-physical systems that continuously exchange telemetry and control data over wireless links, exposing them to attacks targeting both communication and data integrity. Existing machine learning-based intrusion detection systems for UAVs are evaluated under closed-set assum...