A Novel Architecture for Cyber-Physical Security in Industrial Control Networks

Abstract

Over the last decades, the evolution of information and communication technology has joined the automation and control systems development, leading to Cyber- Physical Systems integration in industrial environments. Since complex threats targeting physical processes require advanced and interdisciplinary security approaches, classic cyber-security tools are ineffective in industrial scenarios. In this paper, we present a modular framework able to provide cyber-physical security for industrial control systems. Our Deep Detection Architecture (DDA) fills the gap between computer science and control theoretic approaches. Moreover, we present an innovative cyber-physical simulation methodology as a baseline for validation purposes.