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dc.contributor.advisorAlderson, David L.
dc.contributor.authorRoss, Jason D.
dc.dateSep-14
dc.date.accessioned2014-12-05T20:10:48Z
dc.date.available2014-12-05T20:10:48Z
dc.date.issued2014-09
dc.identifier.urihttp://hdl.handle.net/10945/43989
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractThis study determines how to invest limited resources to increase the resilience of an infrastructure system against both non-deliberate and deliberate events. We propose an optimization model that seeks the best defensive investment for a weighted combination of deliberate and non-deliberate events. We formulate the general problem and conduct numerical analysis using a specific infrastructure system as a concrete example. We perform parametric analysis on the combined model in order to explore the way in which different solutions depend on the distributed weights and yield insight into the best investment decisions.en_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titleDefending critical infrastructure against deliberate threats and non-deliberate hazardsen_US
dc.typeThesisen_US
dc.contributor.secondreaderCarlyle, W. Matthew
dc.contributor.departmentOperations Research
dc.subject.authorcritical infrastructureen_US
dc.subject.authorrisken_US
dc.subject.authorattacker-defenderen_US
dc.subject.authoroptimizationen_US
dc.subject.authordeliberate threat non-deliberate hazarden_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Operations Researchen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineOperations Researchen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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