1. Shodhganga@INFLIBNET
  2. Sri Satya Sai University of Technology & Medical Sciences
  3. Department of Computer Science and Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/606164
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-12-11T09:20:09Z-
dc.date.available2024-12-11T09:20:09Z-
dc.identifier.urihttp://hdl.handle.net/10603/606164-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA feasibility analysis in detecting Botnets by machine learning Method
dc.title.alternative
dc.creator.researcherDEEVI HARIKRISHNA
dc.subject.keywordEngineering
dc.subject.keywordEngineering and Technology
dc.subject.keywordEngineering Multidisciplinary
dc.description.note
dc.contributor.guideDr. Harsh Lohiya
dc.publisher.placeSehore
dc.publisher.universitySri Satya Sai University of Technology and Medical Sciences
dc.publisher.institutionDepartment of Computer Science and Engineering
dc.date.registered2019
dc.date.completed2023
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science and Engineering

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80_recommendation.pdfAttached File39.06 kBAdobe PDFView/Open
abstract.pdf11.57 kBAdobe PDFView/Open
certificate.pdf2.06 MBAdobe PDFView/Open
chapter 1.pdf442.55 kBAdobe PDFView/Open
chapter 2.pdf125.92 kBAdobe PDFView/Open
chapter 3.pdf1.27 MBAdobe PDFView/Open
chapter 4.pdf549.11 kBAdobe PDFView/Open
chapter 5.pdf24.64 kBAdobe PDFView/Open
content.pdf583.11 kBAdobe PDFView/Open
reference.pdf176.2 kBAdobe PDFView/Open
title page.pdf22.9 kBAdobe PDFView/Open
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