The information coming from the network topology, which does not depend on the failure and repair probabilities of its elements, is useful in the preliminary RAMS (Reliability, Availability, Maintainability and Safety) analysis and in the Security assessment of critical infrastructures. We propose an approach to investigate the network structure by ranking its elements through Importance and Sensitivity measures. The System performances are referred to User nodes (Partial risks) and to the whole network (Global risk). The First order Differential Importance Measure and a so-called Hybrid measure allow the ranking of the elements according to their Importance and to the Sensitivity of the model outputs. The ranking of Edges through the above measures super-imposes the ranking of the (unfaultable) User nodes. The original proposals of the paper concern the use of the Total order Differential Importance Measures in order to consider the “interactions” among the independent input variables of the model (Edges unavailability) and the investigation of the system structure through the estimation of measures in the whole range of values [0;1]. The proposed approach is applied to a case study; its simplicity emphasizes the obtained results and allows judging them quantitatively and qualitatively. Keywords: Network, Critical Infrastructure, Importance, Sensitivity, Nuclear power plant
S. La Rovere, P.Vestrucci (2010). Investigation of the Structure of a networked system. MILANO : SAMO [10.1016/j.sbspro.2010.05.183].
Investigation of the Structure of a networked system
VESTRUCCI, PAOLO
2010
Abstract
The information coming from the network topology, which does not depend on the failure and repair probabilities of its elements, is useful in the preliminary RAMS (Reliability, Availability, Maintainability and Safety) analysis and in the Security assessment of critical infrastructures. We propose an approach to investigate the network structure by ranking its elements through Importance and Sensitivity measures. The System performances are referred to User nodes (Partial risks) and to the whole network (Global risk). The First order Differential Importance Measure and a so-called Hybrid measure allow the ranking of the elements according to their Importance and to the Sensitivity of the model outputs. The ranking of Edges through the above measures super-imposes the ranking of the (unfaultable) User nodes. The original proposals of the paper concern the use of the Total order Differential Importance Measures in order to consider the “interactions” among the independent input variables of the model (Edges unavailability) and the investigation of the system structure through the estimation of measures in the whole range of values [0;1]. The proposed approach is applied to a case study; its simplicity emphasizes the obtained results and allows judging them quantitatively and qualitatively. Keywords: Network, Critical Infrastructure, Importance, Sensitivity, Nuclear power plantI documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.