Secure Distributed State Estimation for Sequentially Interconnected CPSs Under FDI Attacks

This brief is concerned with the secure distributed state estimation problem for large-scale interconnected systems (LISs) with sequential structure under false data injection (FDI) attacks. The considered FDI attacks may occur in multiple or all local measurements, as well as in communication between neighboring estimators. For the purpose of suppressing the impact of attacks in local measurements, a convex optimization problem with linear constraint is solved to determine the estimates of the non-fixed channel attacks. With the reconstructed local measurements, the secure distributed state estimator for each subsystem is designed based on local output and its neighboring information. Finally, an illustrative example of the maneuvering vehicles is employed to show the effectiveness of the proposed methods.