Detection of cyber-attacks in electro-pneumatic positioning system with distributed control

Abstract

Concept of Industry 4.0 and implementation of Cyber Physical Systems (CPS) and Internet of Things (IoT) in industrial plants are changing the way we manufacture. Introduction of industrial IoT leads to ubiquitous communication (usually wireless) between devices in industrial control systems, thus introducing numerous security concerns and opening up wide space for potential malicious threats and attacks. As a consequence of various cyber-attacks, fatal failures can occur on system parts or the system as a whole. Therefore, security mechanisms must be developed to provide sufficient resilience to cyber-attacks and keep the system safe and protected. In this paper we present a method for detection of attacks on signals in continuous time controlled electro-pneumatic positioning system that is implemented using smart devices with wireless communication capabilities. The method is based on epsilon insensitive support vector regression (epsilon-SVR); it is implemented on real-world system, and it successfully detected all considered attacks (without false positives) in real-time.