Energy-Constrained Optimal Stealthy Attack Against State Estimation With Multichannel Protocol

Research on attack design provides a reference for attack defense. To this end, this work considers the design problem of an optimal energy-constrained stealthy attack strategy orienting remote estimation. The signals from smart sensors to remote estimators are scheduled via an extended Round-Robin protocol (RRP), which sends data through each channel in a specific order, and allows more than one channel to be transitable at each instant. To achieve the optimal attack strategy that can maximize the impact on estimation performance, a new attack model with the constraints of stealthiness and energy limitations is constructed. Furthermore, an equivalent two-step optimization problem is suggested to obtain the optimal attack matrix and optimal attack scheduling, respectively. Finally, the optimality and stealthiness of the proposed energy-constrained attack strategy are verified via simulation results.