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

Autor:	Udupa, Sumukha, Kulkarni, Abhishek N., Han, Shuo, Leslie, Nandi O., Kamhoua, Charles A., Fu, Jie
Rok vydání:	2022
Předmět:	Mathematics - Optimization and Control Computer Science - Computer Science and Game Theory Electrical Engineering and Systems Science - Systems and Control
Zdroj:	LCSS vol.7(2022)265-270
Druh dokumentu:	Working Paper
DOI:	10.1109/LCSYS.2022.3187313
Popis:	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 defender's observations). We present an algorithm to compute a belief-based, randomized strategy for P1 to ensure satisfying the reachability objective with probability one, under the worst-case sensor attack carried out by an informed P2. We prove the correctness of the algorithm and illustrate using an example. Comment: 7 pages, 3 figure, 1 table, 1 algorithm
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2204.01584 Zobrazit plný text záznamu View this record from Arxiv