Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/591381
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2024-09-25T05:26:42Z-
dc.date.available2024-09-25T05:26:42Z-
dc.identifier.urihttp://hdl.handle.net/10603/591381-
dc.description.abstractnewline
dc.format.extentxvi, 228p
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Learning Based Network Intrusion Detection System IDS DDoS Attacks
dc.title.alternative
dc.creator.researcherHnamte, Vanlalruata
dc.subject.keywordMathematics
dc.subject.keywordPhysical Sciences
dc.description.note
dc.contributor.guideHussain, Jamal
dc.publisher.placeMizoram
dc.publisher.universityMizoram University
dc.publisher.institutionDepartment of Mathematics and Computer Science
dc.date.registered2018
dc.date.completed2024
dc.date.awarded2024
dc.format.dimensions30 cm
dc.format.accompanyingmaterialDVD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Mathematics and Computer Science

Files in This Item:
File Description SizeFormat 
01_title cover.pdfAttached File2.14 MBAdobe PDFView/Open
02_preliminary pages.pdf451.33 kBAdobe PDFView/Open
03_content.pdf169.47 kBAdobe PDFView/Open
04_abstract.pdf2.17 MBAdobe PDFView/Open
05_chapter 1.pdf1.91 MBAdobe PDFView/Open
06_chapter 2.pdf2.65 MBAdobe PDFView/Open
07_chapter 3.pdf2.58 MBAdobe PDFView/Open
08_chapter 4.pdf2.55 MBAdobe PDFView/Open
09_chapter 5.pdf5.12 MBAdobe PDFView/Open
10_chapter 6.pdf200.93 kBAdobe PDFView/Open
11_annextures.pdf451.35 kBAdobe PDFView/Open
80_recommendation.pdf2.31 MBAdobe PDFView/Open


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