1. Shodhganga@INFLIBNET
  2. Anna University
  3. Faculty of Information and Communication Engineering
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/545842
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DC FieldValueLanguage
dc.coverage.spatialFinancial botnet detection and prevention of financial fraud by malicious node removal
dc.date.accessioned2024-02-19T06:18:04Z-
dc.date.available2024-02-19T06:18:04Z-
dc.identifier.urihttp://hdl.handle.net/10603/545842-
dc.format.extentxix,149p.
dc.languageEnglish
dc.relationp.134-148
dc.rightsuniversity
dc.titleFinancial botnet detection and prevention of financial fraud by malicious node removal
dc.title.alternative
dc.creator.researcherAmala Dhaya M D
dc.subject.keywordCyber Crimes
dc.subject.keywordGradient-Boosted Trees
dc.subject.keywordMulti-Feature Trust Measure
dc.description.note
dc.contributor.guideRavi R
dc.publisher.placeChennai
dc.publisher.universityAnna University
dc.publisher.institutionFaculty of Information and Communication Engineering
dc.date.registered
dc.date.completed2020
dc.date.awarded2020
dc.format.dimensions21cm.
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Faculty of Information and Communication Engineering

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File24.2 kBAdobe PDFView/Open
02_prelim pages.pdf1.67 MBAdobe PDFView/Open
03_contents.pdf202.47 kBAdobe PDFView/Open
04_abstracts.pdf205.47 kBAdobe PDFView/Open
05_chapter1.pdf904.94 kBAdobe PDFView/Open
06_chapter2.pdf824.53 kBAdobe PDFView/Open
07_chapter3.pdf978.8 kBAdobe PDFView/Open
08_chapter4.pdf1.66 MBAdobe PDFView/Open
09_chapter5.pdf1.45 MBAdobe PDFView/Open
10_annexures.pdf201.09 kBAdobe PDFView/Open
80_recommendation.pdf136.77 kBAdobe PDFView/Open
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