Optimal Stealthy Attack With Side Information Against Remote State Estimation: A Corrupted Innovation-Based Strategy

Abstract

This article studies the problem of designing the optimal strictly stealthy attack against remote state estimation in cyber-physical systems, where the attacker possesses both the intercepted information and the side information sensed by an additional sensor. Combining the intercepted information with the side information, a novel corrupted innovation-based attack model with higher-design flexibility is proposed, and the analytical optimal attack strategy is derived. Compared with the existing results based on nominal innovation, the proposed attack model eliminates the need for an additional filter to calculate nominal innovation, which saves computational resources, and can achieve greater performance degradation of remote state estimation. Finally, in order to verify the superiority and effectiveness of the results, the numerical examples are given.