Resilient Control Strategy for Cyber-Physical Systems Against False Data Injection Attacks

With the emergence of the Internet of Things (IoT) era, it has become necessary to connect traditional industrial control systems to the network, resulting in the integration of control systems [1]. This integration, referred to as cyber-physical systems (CPS), facilitates the online monitoring and control of various edge subsystems by cloud controllers [2] [3]. However, networks are susceptible to network attacks [4]. This architecture exposes the control system to a range of malicious interferences and destructive actions, such as DoS attacks and deception attacks. One notable example is the false data injection attack [5]. In order to mitigate the detrimental effects of network attacks on cyber-physical systems, a game ensues between attackers and defenders [6]. As defenders in the control field, it is our responsibility to protect the system's last line of defense. This involves implementing resilient strategies to minimize the impact of attacks when the system inevitably suffers from network attacks [7]. Therefore, we propose a resilient control strategy, based on tube methods and buffer mechanisms, to address false data injection attacks on the sensor-to-controller (S-C) channel and safeguard system performance from severe damage [8].