Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/591410
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-09-25T05:41:08Z-
dc.date.available2024-09-25T05:41:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/591410-
dc.description.abstractnewline
dc.format.extentxiii, 134 p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDesign and Development of Intrusion Detection System for Securing Embedded AI Based Systems
dc.title.alternative
dc.creator.researcherMishra, Nivedita
dc.subject.keywordAnomaly Detection
dc.subject.keywordDDoS attacks
dc.subject.keywordDeep Learning
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.subject.keywordFederated Learning
dc.subject.keywordIoT Security
dc.subject.keywordMachine Learning
dc.subject.keywordTransfer Learning
dc.description.note
dc.contributor.guidePandya, Sharnil
dc.publisher.placePune
dc.publisher.universitySymbiosis International University
dc.publisher.institutionFaculty of Engineering
dc.date.registered2019
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering

Files in This Item:
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01_title.pdfAttached File229.92 kBAdobe PDFView/Open
02_prelim pages.pdf746.6 kBAdobe PDFView/Open
03_chapter-1..pdf1.08 MBAdobe PDFView/Open
04_chapter-2..pdf897.41 kBAdobe PDFView/Open
05_chapter-3..pdf1.44 MBAdobe PDFView/Open
06_chapter-4..pdf2.94 MBAdobe PDFView/Open
07_chapter-5..pdf1.52 MBAdobe PDFView/Open
08_chapter-6..pdf286.86 kBAdobe PDFView/Open
10_annexure.pdf14.09 MBAdobe PDFView/Open
80_recommendation.pdf530.46 kBAdobe PDFView/Open


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