Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/369276
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-03-22T10:42:48Z-
dc.date.available2022-03-22T10:42:48Z-
dc.identifier.urihttp://hdl.handle.net/10603/369276-
dc.description.abstractAbstract Included newline
dc.format.extentxiv, 105p
dc.languageEnglish
dc.relation125
dc.rightsuniversity
dc.titleData Driven Approaches for Classifying IIoT System Behavior
dc.title.alternative
dc.creator.researcherSurendar M
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordDeep Learning
dc.subject.keywordEngineering and Technology
dc.subject.keywordIndustrial internet of things
dc.subject.keywordIntrusion Detection
dc.subject.keywordRule-based approach
dc.description.noteReferences 84-96p, Appendix 97-105p
dc.contributor.guideUmamakeswari A
dc.publisher.placeThanjavur
dc.publisher.universitySASTRA University
dc.publisher.institutionSchool of Computing
dc.date.registered2015
dc.date.completed2019
dc.date.awarded2020
dc.format.dimensions28cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:School of Computing

Files in This Item:
File Description SizeFormat 
01-title page.pdfAttached File82.31 kBAdobe PDFView/Open
02_certificate page.pdf128.21 kBAdobe PDFView/Open
03_perliminary.pdf339.46 kBAdobe PDFView/Open
04_chapter 1.pdf249.57 kBAdobe PDFView/Open
05_chapter_02.pdf153.48 kBAdobe PDFView/Open
06_chapter_03.pdf799.11 kBAdobe PDFView/Open
07_chapter_04.pdf395.06 kBAdobe PDFView/Open
08_chapter_05.pdf841.55 kBAdobe PDFView/Open
09_chapter_06.pdf100.69 kBAdobe PDFView/Open
10_reference .pdf184.38 kBAdobe PDFView/Open
11_ appendices.pdf274.27 kBAdobe PDFView/Open
80_recommendation.pdf187.36 kBAdobe PDFView/Open


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