Synthesizing Attack-Aware Control and Active Sensing Strategies under Reactive Sensor Attacks
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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 control and active sensing strategy for P1, we construct a stochastic game on graph where the augmented state includes the actual game state (known by the attacker), the belief of the defender about the game state (constructed by the attacker given the attacker's information about the defender's information). We presented an algorithm to solve a belief-based, randomized strategy for P1 to ensure satisfying P1's reachability objective with probability one, under the worst case sensor attacks carried out by an informed P2. The correctness of the algorithm is proven and illustrated with an example.
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