1. Shodhganga@INFLIBNET
  2. Shri Jagdishprasad Jhabarmal Tibarewala University
  3. Faculty of Computer Science & Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/431817
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-12-26T12:57:42Z-
dc.date.available2022-12-26T12:57:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/431817-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleIntrusion detection system using various soft computing and deep learning approaches
dc.title.alternative
dc.creator.researcherMonika Dhananjay Rokade
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guidePrasadu Peddi
dc.publisher.placeJhunjhunu
dc.publisher.universityShri Jagdishprasad Jhabarmal Tibarewala University
dc.publisher.institutionFaculty of Computer Science and Engineering
dc.date.registered2018
dc.date.completed2022
dc.date.awarded2022
dc.format.dimensions
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Computer Science & Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File144.86 kBAdobe PDFView/Open
02_prelim pages.pdf256.37 kBAdobe PDFView/Open
03_content.pdf196.68 kBAdobe PDFView/Open
04_abstract.pdf84.76 kBAdobe PDFView/Open
05_chapter 1.pdf625.57 kBAdobe PDFView/Open
06_chapter 2.pdf615.64 kBAdobe PDFView/Open
07_chapter 3.pdf1.26 MBAdobe PDFView/Open
08_chapter 4.pdf513.51 kBAdobe PDFView/Open
09_chapter 5.pdf1.2 MBAdobe PDFView/Open
10_chapter 6.pdf182.92 kBAdobe PDFView/Open
11_annexures.pdf716.12 kBAdobe PDFView/Open
80_recommendation.pdf257.3 kBAdobe PDFView/Open
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