Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/421578
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DC FieldValueLanguage
dc.coverage.spatialComputer Science
dc.date.accessioned2022-12-02T05:49:27Z-
dc.date.available2022-12-02T05:49:27Z-
dc.identifier.urihttp://hdl.handle.net/10603/421578-
dc.description.abstractnewline Abstract available
dc.format.extenti-xvi, 106p.
dc.languageEnglish
dc.relationNo. of references 114
dc.rightsuniversity
dc.titleMethodologies for the development of an intelligent botnet detection system
dc.title.alternative
dc.creator.researcherSoniya, B
dc.subject.keyword
dc.subject.keywordBot Lifecycle
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Theory and Methods
dc.subject.keywordDetecting Bot Traffic Signatures
dc.subject.keywordEngineering and Technology
dc.subject.keywordMLP Classifier
dc.subject.keywordNovelty Detection
dc.subject.keywordTemporal Persistence Classifier
dc.description.noteBibliography p. 100-105
dc.contributor.guideWilscy, M
dc.publisher.placeThiruvananthapuram
dc.publisher.universityUniversity of Kerala
dc.publisher.institutionFaculty of Engineering and Technology
dc.date.registeredn.d.
dc.date.completed2015
dc.date.awardedn.d.
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Engineering and Technology

Files in This Item:
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01_title.pdfAttached File27.94 kBAdobe PDFView/Open
02_prelim pages.pdf138.68 kBAdobe PDFView/Open
03_abstract.pdf61.51 kBAdobe PDFView/Open
04_contents.pdf62.16 kBAdobe PDFView/Open
05_chapter 1.pdf162.65 kBAdobe PDFView/Open
06_chapter 2.pdf980.96 kBAdobe PDFView/Open
07_chapter 3.pdf2.7 MBAdobe PDFView/Open
08_chapter 4.pdf1.43 MBAdobe PDFView/Open
09_chapter 5.pdf1.82 MBAdobe PDFView/Open
10_chapter 6.pdf2.58 MBAdobe PDFView/Open
11_chapter 7.pdf71.26 kBAdobe PDFView/Open
12_annexures.pdf1.27 MBAdobe PDFView/Open
80_recommendation.pdf94.67 kBAdobe PDFView/Open


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