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dc.contributor.advisorSimeral, Robert
dc.contributor.advisorWirtz, James
dc.contributor.authorKimmelman, Susann
dc.dateDec-17
dc.date.accessioned2018-02-07T20:33:37Z
dc.date.available2018-02-07T20:33:37Z
dc.date.issued2017-12
dc.identifier.urihttp://hdl.handle.net/10945/56742
dc.descriptionApproved for public release; distribution is unlimiteden_US
dc.description.abstractToday's U.S. intelligence community lacks the human-centric focus needed to develop a forward-looking intelligence estimate. Using a comparative research model, this thesis explored how gray zone indicators used by the U.S. Army Special Operations Command translate into modern indicators for the intelligence community, and sought similar applications for the homeland security enterprise. The research found that, for homeland security, implementing a human-centric indications and warning methodology that focuses on the actor as the key security challenge can help provide advance warning for a planned attack or can indicate a bad actor who is inspiring others to take action.en_US
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsCopyright is reserved by the copyright owner.en_US
dc.titleIndications and warning methodology for strategic intelligenceen_US
dc.typeThesisen_US
dc.contributor.departmentNational Security Affairs (NSA)
dc.subject.authorhuman-centricen_US
dc.subject.authorhuman domainen_US
dc.subject.authorgray zone indicatorsen_US
dc.subject.authorwarningen_US
dc.subject.authorindicationsen_US
dc.description.serviceLieutenant, New York City Police Departmenten_US
etd.thesisdegree.nameMaster of Arts in Security Studies (Homeland Security and Defense)en_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineSecurity Studies (Homeland Security and Defense)en_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US


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