An Event-Triggered χ2-Detector for Cyber-Physical Systems under False Data Injection Attacks

摘要

Attacks on the cyber-physical systems (CPSs) are increasing recently, which makes the research of CPSs’ security issues more urgent. χ^{2-detector, the most common attack detector, has a fatal defect, that it requires all the covariance matrices of observation residual be reversible. In this paper, we propose a novel method to construct an attack detection variable obeying χ2 distribution without special requirements, and develop an event-triggered mechanism to reduce the adverse impact of the detection error. Observer-based state feedback controller is applied and a sufficient condition of stability on the alarm probability of the detector and the parameter in the event-triggered mechanism are further given. Finally, a simulation example is given to verify the effectiveness of the proposed attack detector.}