1. Shodhganga@INFLIBNET
  2. Periyar University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/473349
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-03-29T06:03:08Z-
dc.date.available2023-03-29T06:03:08Z-
dc.identifier.urihttp://hdl.handle.net/10603/473349-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleA hybrid model for building optimized intelligent intrusion detection system to handle high sensitive network traffic
dc.title.alternative
dc.creator.researcherP Roshni mol
dc.subject.keywordA hybrid model for building optimized intelligent
dc.subject.keywordhigh sensitive network traffic
dc.subject.keywordintrusion detection system to handle
dc.description.note4690
dc.contributor.guideC Immaculate Mary
dc.publisher.placeSalem
dc.publisher.universityPeriyar University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2015
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions92mm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
10_annexures (references-publications).pdfAttached File1.78 MBAdobe PDFView/Open
1_title.pdf30.98 kBAdobe PDFView/Open
2_premilinary pages.pdf1.1 MBAdobe PDFView/Open
3_content.pdf1.06 MBAdobe PDFView/Open
4_abstract.pdf1.07 MBAdobe PDFView/Open
5_chapter 1.pdf2.41 MBAdobe PDFView/Open
6_chapter 2.pdf2.42 MBAdobe PDFView/Open
7_chapter 3.pdf2.41 MBAdobe PDFView/Open
80_recommendation.pdf552.22 kBAdobe PDFView/Open
8_chapter 4.pdf2.41 MBAdobe PDFView/Open
9_chapter 5-8.pdf1.79 MBAdobe PDFView/Open
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