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Identifying Critical Infrastructure Clusters via Spectral Analysis

Conference paper
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Part of the Lecture Notes in Computer Science book series (LNCS, volume 9578)

Abstract

In this paper we discuss how to identify groups composed of strictly dependent infrastructures or subsystems. To this end we suggest the use of spectral clustering methodologies, which allow to partition a set of elements in groups with strong intra-group connections and loose inter-group coupling. Moreover, the methodology allows to calculate in an automatic way a suitable number of subsets in which the network can be decomposed. The method has been applied to the Italian situation to identify, on the base of the Inoperability Input-Output model, which are the most relevant set of infrastructures. The same approach has been applied also to partition in a suitable way a network, as illustrated with respect to the IEEE 118 Bus Test Case electric grid.

Keywords

Spectral clustering Critical-infrastructures Laplacian matrix Inoperability Input-Output Model 

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Unit of Automatic, Department of EngineeringUniversity Campus Bio-Medico of RomeRomeItaly
  2. 2.Department of EngineeringUniversity Rome TreRomeItaly

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