Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/377502
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-04-29T10:23:51Z-
dc.date.available2022-04-29T10:23:51Z-
dc.identifier.urihttp://hdl.handle.net/10603/377502-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleBehavioral analysis of peer to peer network traffic using statistical technique to improve identification accuracy
dc.title.alternative
dc.creator.researcherBhatia, Max
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Software Engineering
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideSharma, Vikrant
dc.publisher.placePhagwara
dc.publisher.universityLovely Professional University
dc.publisher.institutionComputer Application/Computer Science and Engineering
dc.date.registered2014
dc.date.completed2021
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Computer Application/Computer Science and Engineering

Files in This Item:
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01_title.pdfAttached File43.84 kBAdobe PDFView/Open
02_declaration.pdf275.5 kBAdobe PDFView/Open
03_certificate.pdf171.74 kBAdobe PDFView/Open
04_acknowledgement.pdf5.16 kBAdobe PDFView/Open
05_content.pdf93.8 kBAdobe PDFView/Open
06_list of graph and table.pdf101.99 kBAdobe PDFView/Open
07_abstract.pdf11.53 kBAdobe PDFView/Open
08_chapter 1.pdf375.88 kBAdobe PDFView/Open
09_chapter 2.pdf385.35 kBAdobe PDFView/Open
10_chapter 3.pdf1.78 MBAdobe PDFView/Open
11_chapter 4.pdf464.94 kBAdobe PDFView/Open
12_chapter 5.pdf447.88 kBAdobe PDFView/Open
13_chapter 6.pdf66.59 kBAdobe PDFView/Open
14_bibliography.pdf229.24 kBAdobe PDFView/Open
80_recommendation.pdf106.46 kBAdobe PDFView/Open


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