Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/408515
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2022-09-29T11:27:00Z-
dc.date.available2022-09-29T11:27:00Z-
dc.identifier.urihttp://hdl.handle.net/10603/408515-
dc.description.abstractAvailable
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleWindows Malware Detection Techniques Using Static and Behavioural Based Features
dc.title.alternative
dc.creator.researcherDarshan, Shiva S L
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Information Systems
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideJaidhar, C D
dc.publisher.placeMangaluru
dc.publisher.universityNational Institute of Technology Karnataka
dc.publisher.institutionDepartment of Information Technology
dc.date.registered
dc.date.completed2020
dc.date.awarded
dc.format.dimensions
dc.format.accompanyingmaterialNone
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Information Technology

Files in This Item:
File Description SizeFormat 
01_title.pdfAttached File89.54 kBAdobe PDFView/Open
02_declaration.pdf90.35 kBAdobe PDFView/Open
03_certificate.pdf90.29 kBAdobe PDFView/Open
04_aknowledgements.pdf72.46 kBAdobe PDFView/Open
05_contents.pdf89.11 kBAdobe PDFView/Open
06_list of figures.pdf79.78 kBAdobe PDFView/Open
07_abstract.pdf93.55 kBAdobe PDFView/Open
08_chapter 1.pdf659.72 kBAdobe PDFView/Open
09_chapter 2.pdf185.49 kBAdobe PDFView/Open
10_chapter 3.pdf954.37 kBAdobe PDFView/Open
11_chapter 4.pdf6.01 MBAdobe PDFView/Open
12_chapter 5.pdf5.57 MBAdobe PDFView/Open
13_chapter 6.pdf77.67 kBAdobe PDFView/Open
14_appendix.pdf122.54 kBAdobe PDFView/Open
15_references.pdf186.05 kBAdobe PDFView/Open
80_recommendation.pdf110.89 kBAdobe PDFView/Open


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