SECPSIM: A Training Simulator for cyber-power infrastructure security

Abstract

Trustworthy critical power grid infrastructures require suitable cyber and power security protection efforts. Expert system operators play a crucial role in protecting complex power-grid networks; however, inefficient training of system operators regarding potential cyber attacks and physical security threats can potentially result in malicious compromises and catastrophic consequences. In this paper, we present SECPSIM, a user-friendly framework based on mathematical models of corrective control actions against various intrusions and failure scenarios. Our experimental results show that SECPSIM can help in learning and provide appropriate corrective cyber-physical control actions efficiently, and provide inexperienced individuals with an effective tutorial user interface.