Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/332586
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialBig Data
dc.date.accessioned2021-07-20T04:45:32Z-
dc.date.available2021-07-20T04:45:32Z-
dc.identifier.urihttp://hdl.handle.net/10603/332586-
dc.description.abstractIncluded in thesis newline
dc.format.extent126
dc.languageEnglish
dc.relation170
dc.rightsuniversity
dc.titleDevelopment of an efficient algorithm for intrusion detection in big data using deep learning
dc.title.alternative
dc.creator.researcherDahiya, Priyanka
dc.subject.keywordDeep Belief Network
dc.subject.keywordDericsional Reduchion
dc.subject.keywordFeature Selection
dc.subject.keywordIntsusim Detction System
dc.subject.keywordRendom Foust
dc.subject.keywordSelp Swarm Optinigetion
dc.description.note128 - 141 P, 127 P
dc.contributor.guideSrivastava, Devesh Kumar
dc.publisher.placeJaipur
dc.publisher.universityManipal University Jaipur
dc.publisher.institutionDepartment of Information Technology
dc.date.registered2014
dc.date.completed2020
dc.date.awarded2021
dc.format.dimensions141
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Information Technology



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