SMS–A Security Management System for Steam Turbines Using a Multisensor Array

Abstract

Cyber-physical systems, such as large power plants, apply open networks for monitoring and control purposes. This may increase the risk of cyberattacks to these infrastructures. Cybersecurity methods have been employed as promising techniques to deal with cyber threats and isolate possible cyberattacks. This article introduces a new security management system (SMS) for an industrial steam turbine. As such, the most probable threats, such as denial-of-service (DoS) attack, deception attack, and replay attack in various sensors and actuators of the steam turbine system, are considered. Then, a new SMS system consisting of an attack detection unit and an attack isolation unit is designed. The attack detection unit utilizes a dynamic neural network to detect any potential attack in the system using the concept of residual generation. The attack isolation unit identifies the type of attacks using an integrated feature selection strategy and support vector machine classifier through multisensor information. Several case studies are investigated to evaluate the proposed SMS. The test results show the effectiveness of the proposed SMS with multisensor information when compared to SMS without multisensor array.