Visible to the public Agent-Based Cyber Control Strategy Design for Resilient Control Systems: Concepts, Architecure and MethodologiesConflict Detection Enabled

TitleAgent-Based Cyber Control Strategy Design for Resilient Control Systems: Concepts, Architecure and Methodologies
Publication TypeConference Paper
Year of Publication2012
AuthorsCraig Rieger, Idaho Naitonal Laboratory, Quanyan Zhu, University of Illinois at Urbana-Champaign, Tamer Başar, University of Illinois at Urbana-Champaign
Conference Name2012 5th International Sympsoium on Resilient Control Systems (ISRCS 2012)
Date Published08/2012
Conference LocationSalt Lake City, UT
Keywordscomplex ntworked control sytems, cyber awareness, cyber physical systems, cyber security, data fusion, hierarchical architecture, human systems, NSA SoS Lablets Materials, reslilient control, science of security, Toward a Theory of Resilience in Systems: A Game-Theoretic Approach, UIUC
Abstract

The implementation of automated regulatory control has been around since the middle of the last century through analog means. It has allowed engineers to operate the plant more consistently by focusing on overall operations and settings instead of individual monitoring of local instruments (inside and outside of a control room). A similar approach is proposed for cyber security, where current border-protection designs have been inherited from information technology developments that lack consideration of the high-reliability, high consequence nature of industrial control systems. Instead of an independent development, however, an integrated approach is taken to develop a holistic understanding of performance. This performance takes shape inside a multiagent design, which provides a notional context to model highly decentralized and complex industrial process control systems, the nervous system of critical infrastructure. The resulting strategy will provide a framework for researching solutions to security and unrecognized interdependency concerns with industrial control systems.

Citation Keynode-32229