Monte Carlo methodology for network reliability analysis enables precise probabilistic predictions
Multidimensional destruction spectra provide a comprehensive view of network vulnerability
Heuristic algorithms for optimal network design improve resilience in real-world scenarios
Practical approach to network reliability and resilience evaluation supports applied research
Detailed case studies demonstrate effectiveness for real-life network problems
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SpringerBriefs in Electrical and Computer Engineering Gertsbakh, Ilya; Shpungin, Yoseph This book is devoted to the probabilistic description of the behavior of a network in the process of random removal of its components (links, nodes) appearing as a result of technical failures, natural disasters or intentional attacks. It is focused on