1. Shodhganga@INFLIBNET
  2. Vels University
  3. Department of Computer Science
Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/504569
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DC FieldValueLanguage
dc.coverage.spatial
dc.date.accessioned2023-08-03T12:04:02Z-
dc.date.available2023-08-03T12:04:02Z-
dc.identifier.urihttp://hdl.handle.net/10603/504569-
dc.description.abstractnewline
dc.format.extent
dc.languageEnglish
dc.relation
dc.rightsuniversity
dc.titleDeep Learning Based Analysis of the Malicious Software Detection Using URL API Intensity Feature Selection for Improving Host Security
dc.title.alternative
dc.creator.researcherLavanya B
dc.subject.keywordComputer Science
dc.subject.keywordComputer Science Cybernetics
dc.subject.keywordEngineering and Technology
dc.description.note
dc.contributor.guideShanthi C
dc.publisher.placeChennai
dc.publisher.universityVels University
dc.publisher.institutionDepartment of Computer Science
dc.date.registered2019
dc.date.completed2022
dc.date.awarded2023
dc.format.dimensions
dc.format.accompanyingmaterialCD
dc.source.universityUniversity
dc.type.degreePh.D.
Appears in Departments:Department of Computer Science

Files in This Item:
File Description SizeFormat 
01. title.pdfAttached File52.67 kBAdobe PDFView/Open
02_prelim pages.pdf240.88 kBAdobe PDFView/Open
03_content.pdf16.82 kBAdobe PDFView/Open
04_abstract.pdf10.21 kBAdobe PDFView/Open
05_chapter 1.pdf433.01 kBAdobe PDFView/Open
06_chapter 2.pdf278.06 kBAdobe PDFView/Open
07_chapter 3.pdf223.23 kBAdobe PDFView/Open
08_chapter 4.pdf101.84 kBAdobe PDFView/Open
09_chapter 5.pdf165.77 kBAdobe PDFView/Open
10_annexures.pdf2.92 MBAdobe PDFView/Open
11_chapter 6.pdf110.21 kBAdobe PDFView/Open
80_recommendation.pdf10.43 kBAdobe PDFView/Open
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