Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/432901
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-28T10:39:16Z-
dc.date.available2022-12-28T10:39:16Z-
dc.identifier.urihttp://hdl.handle.net/10603/432901-
dc.description.abstractnewline
dc.format.extent1-110
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Learning Based Models For Network Intrusion Detection
dc.title.alternative
dc.creator.researcherPreethi D
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideNeelu Khare
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology (VIT) University
dc.publisher.institutionSchool of Information Technology and Engineering
dc.date.registered2014
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Information Technology and Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File95.13 kBAdobe PDFView/Open
02_prelim page.pdf662.46 kBAdobe PDFView/Open
03_table of content.pdf193.47 kBAdobe PDFView/Open
04_abstract.pdf71.33 kBAdobe PDFView/Open
05_chapter 1.pdf196.43 kBAdobe PDFView/Open
06_chapter 2.pdf871 kBAdobe PDFView/Open
07_chapter 3.pdf593.61 kBAdobe PDFView/Open
08_chapter 4.pdf2.05 MBAdobe PDFView/Open
09_chapter 5.pdf1.48 MBAdobe PDFView/Open
10_chapter 6.pdf3.74 MBAdobe PDFView/Open
11_chapter 7.pdf1.17 MBAdobe PDFView/Open
12_chapter 8.pdf71.72 kBAdobe PDFView/Open
13_annextures.pdf519.09 kBAdobe PDFView/Open
80_recommendation.pdf165.4 kBAdobe PDFView/Open


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