Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/558459
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dc.coverage.spatial
dc.date.accessioned2024-04-18T08:12:38Z-
dc.date.available2024-04-18T08:12:38Z-
dc.identifier.urihttp://hdl.handle.net/10603/558459-
dc.description.abstractFile attached newline
dc.format.extentxxiii, 151 p.
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and development of cloud based real time intelligent network intrusion detection framework
dc.title.alternative
dc.creator.researcherVerma, Jyoti
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Interdisciplinary Applications
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideBhandari, Abhinav and Gurpreet Singh
dc.publisher.placePatiala
dc.publisher.universityPunjabi University
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2020
dc.date.completed2023
dc.date.awarded2024
dc.format.dimensions28 cm.
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science & Engineering

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10_conclusion&summary.pdfAttached File475.1 kBAdobe PDFView/Open
1_titlepage.pdf21.41 kBAdobe PDFView/Open
4_chapter-1.pdf555.84 kBAdobe PDFView/Open
5_chapter-2.pdf1.26 MBAdobe PDFView/Open
6_chapter-3.pdf1.56 MBAdobe PDFView/Open
7_chapter-4.pdf873.61 kBAdobe PDFView/Open
80_recommendation.pdf485.36 kBAdobe PDFView/Open
8_chapter-5.pdf904.49 kBAdobe PDFView/Open
9_chapter-6.pdf2.15 MBAdobe PDFView/Open
abstract both english & punjabi.pdf493.85 kBAdobe PDFView/Open
annexure.pdf12.19 MBAdobe PDFView/Open
contents.pdf220.07 kBAdobe PDFView/Open
prelim.pdf1.01 MBAdobe PDFView/Open


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