Intrusion Detection via Machine Learning for SCADA System Protection

Abstract

SCADA (Supervisory Control And Data Acquisition) systems have always been susceptible to cyber-attacks. Different types of cyber-attacks could occur depending on the architecture and configurations used in the SCADA system. To protect cyber infrastructure from above attacks a growing collaborative effort between cyber security professionals and researchers from private and academia has involved in designing variety of intelligent intrusion detection systems. This paper introduces a new European Framework-7 project CockpitCI and roles of intelligent machine learning methods to prevent SCADA systems from cyber-attacks.