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Titlebook: Critical Information Infrastructures Security; 7th International Wo Bernhard M. Hämmerli,Nils Kalstad Svendsen,Javier Conference proceedin

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es. In comparison with other methods, such as attack/defense trees and attack graphs, our approach allows us to relax assumptions regarding the ordering of events by applying structural reasoning to outcomes and reducing the state space for the analysis. An obvious application is to risk management.
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ibution network, for which on-line chlorine concentration sensors are assumed to have been installed at certain locations following an optimization procedure. The results indicate that by using the periodic bounds computed from the randomized simulations, for the proposed benchmark, contamination events are detected within reasonable time.
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System Dynamics for Railway Infrastructure Protectionnd, we used a System Dynamics approach to model how the different factors influence the railway station target attractiveness, fragility and vulnerability. Specifically, a deep analysis of past incidents (and near incidents) allows us to quantify the effectiveness of the different elements.
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Contaminant Detection in Urban Water Distribution Networks Using Chlorine Measurementsibution network, for which on-line chlorine concentration sensors are assumed to have been installed at certain locations following an optimization procedure. The results indicate that by using the periodic bounds computed from the randomized simulations, for the proposed benchmark, contamination events are detected within reasonable time.
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Das Eisen-Kohlenstoff-Diagramm,tion (GET) module collects security data from heterogeneous sources, by providing intelligence at the edge of the SIEM; the Resilient Storage (RS), reliably stores data related to relevant security breaches. We illustrate a prototypal deployment for the dam monitoring and control case study.
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