Distributed Secure State Estimation and Attack Detection for Dynamical Systems With Attacks on a Time-Varying Sensor Set
针对异构传感器网络监测动态系统时遭受虚假数据注入攻击的问题，提出一种分布式安全估计方法，能给出估计误差上界并检测受损传感器，适用于时变攻击场景。
This article investigates the distributed secure state estimation problem for a heterogeneous sensor network monitoring a dynamical system while under false-data injection attacks. Different from existing literature, the attacker is capable of corrupting a time-varying subset of sensors and altering their measurements. Based on the upper bound estimation technique, a novel distributed secure estimation method is proposed, which can provide an upper bound for estimation error and detect compromised sensors. The sufficient condition for the boundedness of the estimation error is provided and the feasibility of the estimator is further analyzed. Simulations are provided to demonstrate the effectiveness of the proposed estimator.