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dc.contributor.authorBollmann, Chad
dc.contributor.authorTummala, Murali
dc.contributor.authorMcEachen, John
dc.datePresented April 10-12, 2018
dc.dateFY2018
dc.date.accessioned2018-11-01T21:23:46Z
dc.date.available2018-11-01T21:23:46Z
dc.date.issued2018-04
dc.identifier.urihttp://hdl.handle.net/10945/60496
dc.descriptionNaval Research Program NRWG Posteren_US
dc.format.extent1 p.en_US
dc.language.isoen_USen_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. Copyright protection is not available for this work in the United States.en_US
dc.titleImproved Detection of Cyber Anomaliesen_US
dc.title.alternativeNetwork Anomaly Detection with Stable Distributionsen_US
dc.typePosteren_US
dc.contributor.corporateNaval Postgraduate School (U.S.)
dc.contributor.corporateNaval Research Program
dc.contributor.schoolGraduate School of Engineering and Applied Sciences (GSEAS)
dc.contributor.departmentElectrical and Computer Engineering (ECE)


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