Network Robustness for Critical Infrastructure Networks

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Author(s): Anthony H. Dekker (Defence Science and Technology Organisation, Australia)and Bernard Colbert (Deakin University, Australia)
Copyright: 2008
Pages: 20
Source title: Information Security and Ethics: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Hamid Nemati (The University of North Carolina at Greensboro, USA)
DOI: 10.4018/978-1-59904-937-3.ch077

Keywords: Information Science Reference / Information Security & Privacy / IT Security and Ethics / Security & Forensics

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Abstract

Events of the past few years have shown how today’s modern technological society is critically dependent on critical infrastructure networks such as telecommunications, transport and power. In this chapter, we examine the robustness of critical infrastructure networks and describe some simulation studies exploring this issue. These studies use an extension of data farming we call “network farming,” implemented within the CAVALIER network analysis tool suite. We then survey some historical data on actual terrorist attacks and show that the distribution of these attacks in time can be modeled by a Poisson statistical distribution. This fact can then be used to plan robust network architectures. We alsoexamine “scale-free networks,” and show how they relate to the robustness of physical and organizational networks. In particular, we study the implications for law-enforcement personnel responding to terrorist organizations, using two historical case studies. Finally, we briefly survey emerging trends in network modeling and intelligent software agents that may influence the robustness of future networks.

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Network Robustness for Critical Infrastructure Networks

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