1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/434751
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DC FieldValueLanguage
dc.coverage.spatialDynamic and energy efficient trust model for secure internet of things using regression analysis
dc.date.accessioned2023-01-02T06:05:54Z-
dc.date.available2023-01-02T06:05:54Z-
dc.identifier.urihttp://hdl.handle.net/10603/434751-
dc.format.extentxvi,152p.
dc.languageEnglish
dc.relationp.136-151
dc.rightsuniversity
dc.titleDynamic and energy efficient trust model for secure internet of things using regression analysis
dc.title.alternative
dc.creator.researcherFeslin Anish Mon S
dc.subject.keywordEngineering and Technology
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordSecure Internet of Things
dc.subject.keywordInternet of Things
dc.subject.keywordRegression Analysis
dc.subject.keywordIntrusion Detection System
dc.subject.keywordTrust Management Model
dc.description.note
dc.contributor.guideGodfrey Winster S and Valarmathie P
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions21cm
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File411.11 kBAdobe PDFView/Open
02_prelim pages.pdf2.75 MBAdobe PDFView/Open
03_content.pdf509.68 kBAdobe PDFView/Open
04_abstracs.pdf354.15 kBAdobe PDFView/Open
05_chapter 1.pdf774.77 kBAdobe PDFView/Open
06_chapter 2.pdf725.85 kBAdobe PDFView/Open
07_chapter 3.pdf746.12 kBAdobe PDFView/Open
08_chapter 4.pdf903.64 kBAdobe PDFView/Open
09_chapter 5.pdf1.01 MBAdobe PDFView/Open
10_chapter 6.pdf1.22 MBAdobe PDFView/Open
11_annexures.pdf119.83 kBAdobe PDFView/Open
80_recommendation.pdf64.33 kBAdobe PDFView/Open
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