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dc.contributor.advisorAlderson, David L.
dc.contributor.advisorDarken, Rudolph
dc.contributor.authorMartin, Kevin M.
dc.dateJun-14
dc.date.accessioned2014-08-13T20:17:50Z
dc.date.available2014-08-13T20:17:50Z
dc.date.issued2014-06
dc.identifier.urihttp://hdl.handle.net/10945/42679
dc.description.abstractCritical infrastructure systems, such as water and electricity, are important for society and national defense. There is a need for network analysis tools that allow analysts to study potential scenarios to discover vulnerabilities, assess consequences, and evaluate effective solutions to overcome network weaknesses. In order to be useful, models of critical infrastructure systems need to be realistic, both geospatially and functionally. The objective of this thesis is to bridge the gap between geospatial and functional network analysis by developing a software tool that allows users to create and edit networks in a Graphical Information System (GIS) visual environment, and then also run and view the results of functional network models. Our primary contribution is to provide an easy-to-use, graphical interface in the form of a plugin that allows users, regardless of their network expertise, to create networks and exercise network flow models on them. We demonstrate the usefulness of our plugin through the analysis of a fictional case study with a realistic Internet infrastructure. We run several minimum cost flow models with simulated network attacks to assess the robustness of the network.en_US
dc.description.urihttp://archive.org/details/ageographicndfun1094542679
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. Copyright protection is not available for this work in the United States.en_US
dc.titleA geographic and functional network flow analysis toolen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science
dc.subject.authorNetwork Analysisen_US
dc.subject.authorMinimum Cost Flowen_US
dc.subject.authorNetworksen_US
dc.subject.authorInterdictionen_US
dc.description.serviceEnsign, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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