Creator of Knowledge
Information Resources Management Association
Advancing the Concepts & Practices of Information Resources Management in Modern Organizations

Network Robustness for Critical Infrastructure Networks

Network Robustness for Critical Infrastructure Networks
View Sample PDF
Author(s): Anthony H. Dekker (Defence Science and Technology Organisation, Australia)and Bernard Colbert (Deakin University, Australia)
Copyright: 2008
Pages: 19
Source title: Electronic Government: Concepts, Methodologies, Tools, and Applications
Source Author(s)/Editor(s): Ari-Veikko Anttiroiko (University of Tampere, Finland)
DOI: 10.4018/978-1-59904-947-2.ch263


View Network Robustness for Critical Infrastructure Networks on the publisher's website for pricing and purchasing information.


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.

Related Content

Serpil Kır Elitaş. © 2023. 11 pages.
Sami Kiraz. © 2023. 14 pages.
Kadir Bendaş. © 2023. 10 pages.
Fatih Değirmenci. © 2023. 15 pages.
Elifnur Terzioğlu. © 2023. 14 pages.
Türker Elitaş. © 2023. 16 pages.
Sudeep Uprety. © 2023. 14 pages.
Body Bottom