
Computational Models of Risks to Infrastructure.
Title:
Computational Models of Risks to Infrastructure.
Author:
Skanata, D.
ISBN:
9781607502609
Personal Author:
Physical Description:
1 online resource (340 pages)
Series:
NATO Science for Peace and Security Series - D: Information and Communication Security
Contents:
Title page -- Preface -- Contents -- Complex Models -- Uncertainty and Unpredictability as Main Generators of Risk Society: Computational Nonlinear Models of Risk Assessment -- Resource Allocation to Vulnerability Search in Information Infrastructures -- Multiple Modeling Approaches and Insights for Critical Infrastructure Protection -- An Overview of Energy and Telecommunications Interdependencies Modeling at NISAC -- Risk-Based Evaluation of Safety and Security Programs in Critical Infrastructure -- A Framework for Critical Information Infrastructure Protection Simulation -- Risk Assessment of Modes of Terrorist Attack -- Simulation Models -- Computational Models for the Simulation of Evacuations Following Infrastructure Failures and Terrorist Incidents -- Simulation of Human Multitask Performance -- Perfluorocarbon Gas Tracer Studies to Support Risk Assessment Modeling of Critical Infrastructure Subjected to Terrorist Attacks -- Evaluation of the Reliability Performance of Network Systems by Cellular Automata and Monte Carlo Simulation -- Reliability Analysis of Multi-State Networks: Making Monte Carlo Simulation Feasible Through Biasing -- Distributional Models -- Convergence in Risk Assessment for Seveso Sites: From ASSURANCE Results to ARAMIS Method -- Development of a Method for Facility Siting Risk Analysis: A Case Study -- Probabilistic Risk Optimization of Road Tunnels Using Bayesian Networks -- Weaknesses of Accidental Risk Assessment Scenarios in the Context of Spatial Planning -- Updating Probability Intervals with the Beta-Bernoulli Model -- Bayesian Belief Nets for Discrete and Continuous Variables -- Development of Risk Based Software for Analysis of Power Engineering Accidents -- Using Bayesian Networks and Simulation for Data Fusion and Risk Analysis -- Use of Probabilistic Safety Assessment for Infrastructure Risk Modeling.
Testing Critical Infrastructure Vulnerability: An Essay in Probabilistic Resilience Analysis -- Deterministic Models -- Reliability of Flood Control Systems -- Fuzzy Modelling for Uncertainty Propagation and Risk Quantification in Environmental Water Systems -- Adaptive Sensor and Computational Procedures for Infrastructure Risk Assessment -- Risk and Uncertainty Assessment of Hydraulic Overloading of Urban Drainage Networks, Based on Fuzzy Set Theory -- Modeling Deterioration and Managing Failure Risk of Buried Critical Infrastructure -- Environmental Risk Ranking: Theory and Applications for Emergency Planning -- Estimating Risk of Contaminant Intrusion in Distribution Networks Using Fuzzy Rule-Based Modeling -- Author Index.
Abstract:
This publication deals with modeling of infrastructure risk. The objective, exploring different methodologies and related applications, recognized four major topics: Complex Models; Simulation Models; Distributional Models; and Deterministic Models. Focus is on the following issues: the state-of-the-art and practice, gaps between the arts and practices, ways to bridge the gaps, and future research directions. In the first chapter, papers can be found on Computational Nonlinear Models of Risk Assessment, Risk-Based Evaluation of Safety and Security Programs in Critical Infrastructure and Risk Assessment of Modes of Terrorist Attack. One of the papers in the chapter on Simulation Models is on Computational Models for the Simulation of Evacuations following Infrastructure Failures and Terrorist Incidents. Bayesian Belief Nets for Discrete and Continuous Variables and Development of Risk Based Software for Analysis of Power Engineering Accidents are two titles of papers in the third chapter of the book on Distributional Models. Finally, the fourth chapter on Deterministic Models focuses on Environmental Risk Ranking and more.
Local Note:
Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2017. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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