Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/76244
Título: Application of advanced computational techniques to the vulnerability assessment of network systems exposed to uncertain harmful events
Autores/as: Rocco S., Claudio M.
Salazar A., Daniel E.
Zio, Enrico
Clasificación UNESCO: 3306 Ingeniería y tecnología eléctricas
120710 Redes de flujo
Palabras clave: Distributed Networks
Monte Carlo Simulation
Vulnerability Assessment
Fecha de publicación: 2009
Publicación seriada: International Journal of Performability Engineering 
Resumen: This paper presents the application of advanced computational techniques developed by the authors for evaluating the vulnerability characteristics of network systems exposed to harmful events. The physical system is modeled as a network (graph) of nodes interconnected by links. Uncertainties on the propagation and effects of an attack are modeled by probability distributions on the times of propagation through the network links and the numbers of people affected at the network nodes reached by the hazard. The impact of an attack is quantified by simulating the propagation of the hazard through the network nodes and links, by means of a combination of cellular automata and Monte Carlo simulation. The vulnerability assessment is embedded within a systematic multiple-objective optimization analysis aimed at identifying the optimal protective scheme which minimizes the average impact in terms of entities affected and hazard propagation time. The vulnerabilities and relative protection schemes of two networks of realistic size are systematically analyzed by the proposed approach for testing the procedure and identifying its strengths and weaknesses. © RAMS Consultants Printed in India.
URI: http://hdl.handle.net/10553/76244
ISSN: 0973-1318
Fuente: International Journal of Performability Engineering[ISSN 0973-1318],v. 5 (1), p. 71-84, (Abril 2009)
Colección:Artículos
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