1. Shodhganga@INFLIBNET
  2. SNDT Womens University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/454382
Full metadata record
DC FieldValueLanguage
dc.coverage.spatialComputer science
dc.date.accessioned2023-01-30T06:14:53Z-
dc.date.available2023-01-30T06:14:53Z-
dc.identifier.urihttp://hdl.handle.net/10603/454382-
dc.description.abstractNone
dc.format.extent
dc.languageEnglish
dc.relationxiv,122
dc.rightsuniversity
dc.titleModelling of insider threat detection based on anomalous baheaviour of user for cyber security
dc.title.alternative
dc.creator.researcherSav, Ujwala Madhav
dc.subject.keywordComputer science,
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordcyber security,
dc.subject.keywordEngineering and Technology
dc.subject.keywordthreat detection.
dc.description.note
dc.contributor.guideMagar, Ganesh
dc.publisher.placeMumbai
dc.publisher.universitySNDT Womens University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2013
dc.date.completed2021
dc.date.awarded2021
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
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01_title.pdfAttached File4.75 kBAdobe PDFView/Open
02_certificate.pdf419.43 kBAdobe PDFView/Open
03_abstract.pdf204.25 kBAdobe PDFView/Open
04_declaration.pdf359.96 kBAdobe PDFView/Open
05_acknowledgement.pdf896.12 kBAdobe PDFView/Open
06_contents.pdf423.77 kBAdobe PDFView/Open
07_list_of_tables.pdf129.37 kBAdobe PDFView/Open
08_list_of_figures.pdf255.02 kBAdobe PDFView/Open
09_abbreviations.pdf79.04 kBAdobe PDFView/Open
10_chapter 1.pdf1.21 MBAdobe PDFView/Open
11_chapter 2.pdf5.16 MBAdobe PDFView/Open
12_chapter 3.pdf1.25 MBAdobe PDFView/Open
13_chapter 4.pdf959.63 kBAdobe PDFView/Open
14_chapter 5.pdf1.85 MBAdobe PDFView/Open
15_chapter 6.pdf6.99 MBAdobe PDFView/Open
16_conclusion.pdf411.37 kBAdobe PDFView/Open
17_bibliography.pdf2.22 MBAdobe PDFView/Open
80_recommendation.pdf414.07 kBAdobe PDFView/Open
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