Side Information Incorporated ϵ -Stealthy Attack Against Remote State Estimation

This article concentrates on designing the $\epsilon $ -stealthy attack against remote state estimation in cyber-physical systems, where the intercepted information and the side information sensed by additional sensors are simultaneously exploited by the attacker. Combining the two types of information, a novel attack model based on corrupted innovation is proposed, and the attacked error covariance of the remote estimator is derived. Then, to maximize the error covariance, an analytical attack strategy is given. Compared with the existing results, the proposed attack exhibits significantly improved performance while requiring only one auxiliary filter. Finally, the numerical simulations verify the effectiveness of the results.