Synthesizing Attack-Aware Control and Active Sensing Strategies Under Reactive Sensor Attacks

We consider the probabilistic planning problem for a defender (P1) who can jointly query the sensors and take control actions to reach a set of goal states while being aware of possible sensor attacks by an adversary (P2) who has perfect observations. To synthesize a provably-correct, attack-aware joint control and active sensing strategy for P1, we construct a stochastic game on graph with augmented states that include the actual game state (known only to the attacker), the belief of the defender about the game state (constructed by the attacker based on his knowledge of the defender’s observations). We present an algorithm to compute a belief-based, randomized strategy for P1 to satisfy the reachability objective with probability one, under the worst-case sensor attacks carried out by an informed P2. We prove the correctness of the algorithm and illustrate it using an example.