Blockchain-Anchored Detection and Recovery for Resilient Reinforcement Learning-Based Cyber-Physical Systems
Reinforcement learning (RL) controllers in cyber-physical systems (CPS) assume that sensor observations describe the true plant state, yet replay, sensor-drift, and false-data-injection (FDI) attacks can corrupt the observation stream at inference time, and detection alone does not tell the controller what to use after...