A Novel Integrated Fuzzy-based Strategy for Safety and Cybersecurity in Industrial Plants

An essential requirement for modern industrial plants in the Industry 4.0 vision is to guarantee cybersecurity and safety related to the presence of faults. Additionally, the increasing complexity of the control systems and the digital transformation in industries demand a more integrative vision in supervision services improving interoperability. Regularly, research in fault diagnosis and cybersecurity has been developed separately despite having many elements in common. This paper presents a novel fuzzy-based strategy that integrates the early detection and location of cyber-attacks and faults. This holistic approach promotes the necessary and important interrelation between the technical groups of Operational Technology (OT) and Information Technology (IT) in industrial plants allowing for the simplification of the computational solution of the condition monitoring system. The proposal was assessed with two known benchmarks showing robust behavior in the presence of noise and disturbances in the measurements and outstanding performance.