This paper investigates the problem of attack detection for cyber-physical systems (CPSs) with disturbances, measurement noises, and false data injection (FDI) attacks. A classical linear discrete-time system attack model is constructed and a robust attack detector based on the mixed H_/H∞ is designed. Firstly, a system with an actuator that suffered a malicious attack is modeled. Then, a robust attack detector based on the mixed H_/H∞ is designed in which the H_ index and H∞ index are used to characterize the sensitivity to attacks and robustness to disturbances and measurement noises, respectively. And an adaptive detection threshold with a compensation term is proposed. Besides, the designed robust attack detector enables the attack detection dynamic system to be asymptotically stable and to guarantee the H_/H∞ performance, and the robust attack detector gains are solved from a convex optimization. Finally, the obtained theoretical results are validated through a numerical simulation and a three-area power system simulation.

Lu Li

Yong Chen

Category	Quartile
计算机科学	3
计算机科学, 计算机信息系统	3
计算机科学, 电信学	3

Adaptive robust FDI attack detection for cyber–physical systems with disturbance

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Adaptive robust FDI attack detection for cyber–physical​ systems with disturbance

ivySCI AI Smartly Parses PDF, Answers Researchers' Questions, and Helps You Understand Papers in Seconds

Journal Info

Adaptive robust FDI attack detection for cyber–physical systems with disturbance