Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/429280
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-21T09:23:10Z-
dc.date.available2022-12-21T09:23:10Z-
dc.identifier.urihttp://hdl.handle.net/10603/429280-
dc.description.abstractnewline
dc.format.extent1-134
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA Study on Intrusion Detection Approaches using Hybrid Feature Selection Algorithms over IoT Networks
dc.title.alternative
dc.creator.researcherPhalguna Krishna E S
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideArunkumar T
dc.publisher.placeVellore
dc.publisher.universityVellore Institute of Technology (VIT) University
dc.publisher.institutionSchool of Computing Science and Engineering
dc.date.registered2016
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing Science and Engineering

Files in This Item:
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01_title.pdfAttached File134.77 kBAdobe PDFView/Open
02_prelim page.pdf723.11 kBAdobe PDFView/Open
03_table of contents.pdf25.09 kBAdobe PDFView/Open
04_abstract.pdf26.17 kBAdobe PDFView/Open
05_chapter 1.pdf1.59 MBAdobe PDFView/Open
06_chapter 2.pdf1.65 MBAdobe PDFView/Open
07_chapter 3.pdf1.01 MBAdobe PDFView/Open
08_chapter 4.pdf1.77 MBAdobe PDFView/Open
09_chapter 5.pdf1.51 MBAdobe PDFView/Open
10_chapter 6.pdf1.04 MBAdobe PDFView/Open
11_chapter 7.pdf70.11 kBAdobe PDFView/Open
12_annexures.pdf907.07 kBAdobe PDFView/Open
80_recommendation.pdf182.74 kBAdobe PDFView/Open


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