Sequential detection in adversarial environment
Jiaqi Yan, Xiaoqiang Ren, Yilin Mo · 2017
In this paper, we consider the problem of sequential detection with m sensors in adversarial environment. An attacker intends to increase the detection error by modifying n out of m sensors' measurements. On the other hand, the detector needs to be designed to achieve the optimal performance during the attack. The problem is formulated as a game between detector and adversary in this paper. We study both cases where m > 2n and m ≤ 2n, and obtain an equilibrium strategy pair of detection rule and attack scheme for both cases. Furthermore, we investigate the efficiency of our proposed detection strategy in the absence of attacker.