A Novel Control Architecture for the Detection of False Data Injection Attacks in Networked Control Systems

Abstract

In this manuscript, we propose a novel control architecture capable of detecting deception attacks affecting networked control systems. In the proposed solution, we borrow and combine the existing concepts of watermarking signal and auxiliary systems in order to detect a broad class of false data injection attacks. We show that by combining the aforementioned concepts, we can detect false data injection attacks without sacrificing control performance. Moreover, we propose a novel nonlinear auxiliary system which is static and does not require any dynamical coupling with the plant dynamics. Finally, the effectiveness of the proposed method is shown by means of a simulation campaign.