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.
Bernieri, G., Conti, M., Pascucci, F. (2018). A Novel Architecture for Cyber-Physical Security in Industrial Control Networks. In IEEE 4th International Forum on Research and Technologies for Society and Industry, RTSI 2018 - Proceedings (pp.1-6). Institute of Electrical and Electronics Engineers Inc. [10.1109/RTSI.2018.8548438].
A Novel Architecture for Cyber-Physical Security in Industrial Control Networks
Bernieri, Giuseppe;Pascucci, Federica
2018-01-01
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.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.