A Class of Optimal Switching Mixed Data Injection Attack in Cyber-Physical Systems

Abstract

This letter considers a class of switching mixed data injection attacks using input derivatives in cyber-physical systems with linear quadratic(LQ) cost from the perspective of the attacker. The attacker injects data mixed with false data and its derivative into a healthy system, which destroys the performance of the original system. For this situations, the optimal mixed data injection attack strategy is designed to minimize the quadratic cost and most damage the performance of the system. After that, in order to increase the complexity, concealment and energy saving of the attack, we designed the optimal switching mixed data injection attack strategy. Finally, numerical results and comparative experiments are provided to illustrate the effectiveness of the proposed method.