Beyond static validation: DRL reliability under temporal drift for edge-AI intrusion detection in cyber-physical-social systems
Purpose Edge-AI intrusion detection in cyber-physical-social systems (CPSS) must operate under temporal drift while respecting strict low-false-positive-rate (low-FPR) budgets. This study aims to evaluate whether a deep reinforcement learning intrusion detector, RO-DDDQN, provides a reliable low-FPR operating point und...