Distributed Secure State Estimation Against Stealthy Attacks

Abstract

This paper investigates the issue of False Data Injection (FDI) attacks within distributed state estimation. In the network, each sensor transmits its state estimate to neighboring nodes. Based on the detection variables inherent to distributed systems, we construct a covert attack strategy to bypass data detectors and degrade the estimation performance of the system. Furthermore, we propose an enhanced stealthy attack strategy, which aims to prevent interference from the attacks of neighboring edges that otherwise counteract against each other. To improve the detection rate of attacks, a detector with a dynamic coding strategy is designed to secure data transmission. The destructiveness of the stealthy attacks and the effectiveness of the detection mechanism are demonstrated through numerical examples.