Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-33331-1_18 | CRITICAL INFORMATION INFRASTRUCTURES SECURITY, CRITIS 2015 |
Keywords | Field | DocType |
Spectral clustering, Critical-infrastructures, Laplacian matrix, Inoperability Input-Output Model | Laplacian matrix,Spectral clustering,Cluster (physics),Coupling,Computer science,Critical infrastructure,Spectral analysis,Partition (number theory),Grid,Distributed computing | Conference |
Volume | ISSN | Citations |
9578 | 0302-9743 | 0 |
PageRank | References | Authors |
0.34 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| gabriele oliva | 1 | 120 | 21.23 |
| S. Panzieri | 2 | 110 | 13.09 |
| Roberto Setola | 3 | 454 | 62.69 |