Modelling Robustness of Critical Infrastructure Networks
Critical infrastructure networks are becoming increasingly interdependent. An attack or disaster in a network or on a single node in a network will affect the other networks dependent on it. Therefore, it is important to assess and understand the vulnerability of interdependent networks in the presence of natural disasters and malicious attacks that lead to cascading failures. We develop a framework to analyse the robustness of interdependent networks. Nodes and links in the interdependent networks are attacked based on the graph centrality metrics. We apply our framework on critical infrastructure network data. Our results indicate that the importance of critical infrastructure varies depending on the attack strategy.
S. Pinnaka et al., "Modelling Robustness of Critical Infrastructure Networks," Proceedings of the 11th International Conference on the Design of Reliable Communication Networks (DRCN) (2015, Kansas City, MO), pp. 95-98, Institute of Electrical and Electronics Engineers (IEEE), Jan 2015.
The definitive version is available at http://dx.doi.org/10.1109/DRCN.2015.7148995
11th International Conference on the Design of Reliable Communication Networks (DRCN) (2015: Mar. 24-27, Kansas City, MO)
Electrical and Computer Engineering
Keywords and Phrases
Directed Graphs; Disasters; Public Works; Robustness (Control Systems); Attack Strategies; Cascading Failures; Centrality; Graph Centralities; Infrastructure Networks; Malicious Attack; Natural Disasters; Resilience; Critical Infrastructures
International Standard Book Number (ISBN)
Electronic OCLC #
Article - Conference proceedings
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