Please use this identifier to cite or link to this item: http://hdl.handle.net/10553/76244
Title: Application of advanced computational techniques to the vulnerability assessment of network systems exposed to uncertain harmful events
Authors: Rocco S., Claudio M.
Salazar A., Daniel E.
Zio, Enrico
UNESCO Clasification: 3306 Ingeniería y tecnología eléctricas
120710 Redes de flujo
Keywords: Distributed Networks
Monte Carlo Simulation
Vulnerability Assessment
Issue Date: 2009
Journal: International Journal of Performability Engineering 
Abstract: 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
Source: International Journal of Performability Engineering[ISSN 0973-1318],v. 5 (1), p. 71-84, (Abril 2009)
Appears in Collections:Artículos
Thumbnail
PDF
Adobe PDF (364,72 kB)
Show full item record

SCOPUSTM   
Citations

1
checked on Jan 17, 2021

Page view(s)

6
checked on Jan 17, 2021

Download(s)

1
checked on Jan 17, 2021

Google ScholarTM

Check


Share



Export metadata



Items in accedaCRIS are protected by copyright, with all rights reserved, unless otherwise indicated.