Please use this identifier to cite or link to this item: http://hdl.handle.net/10603/204244
Title: A Hybrid Approach For Dynamic Malware Analysis With Api Call Sequence Using Machine Learning And Sequence Alignment Methods
Researcher: Asha Jerlin .M
Guide(s): Marimuthu .K
Keywords: API call sequence
dynamic analysis
Malwares
University: VIT University
Completed Date: 2018
Abstract: ,, newline
Pagination: I-XIV, 1-102
URI: http://hdl.handle.net/10603/204244
Appears in Departments:School of Computing Science and Engineering

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01_ title.pdfAttached File105.41 kBAdobe PDFView/Open
02_ declarations.pdf55.73 kBAdobe PDFView/Open
03_ certificate.pdf55.83 kBAdobe PDFView/Open
04_ abstract.pdf68.13 kBAdobe PDFView/Open
05_ acknowledgement.pdf43.63 kBAdobe PDFView/Open
06_ tables of content.pdf71.04 kBAdobe PDFView/Open
07_ list of figures.pdf50.87 kBAdobe PDFView/Open
08_ list of tables.pdf45.75 kBAdobe PDFView/Open
09_ list of algorithms.pdf42.79 kBAdobe PDFView/Open
10_ list of terms & abbreviations.pdf41.12 kBAdobe PDFView/Open
11_ chapter 1.pdf650.66 kBAdobe PDFView/Open
12_ chapter 2.pdf106.89 kBAdobe PDFView/Open
13_ chapter 3.pdf205.21 kBAdobe PDFView/Open
14_ chapter 4.pdf477.48 kBAdobe PDFView/Open
15_ chapter 5.pdf438.44 kBAdobe PDFView/Open
16_ chapter 6.pdf388.44 kBAdobe PDFView/Open
17_ chapter 7.pdf1.25 MBAdobe PDFView/Open
18_ chapter 8.pdf54.16 kBAdobe PDFView/Open
19_ references.pdf89.4 kBAdobe PDFView/Open
20_ list of publlications.pdf56.4 kBAdobe PDFView/Open
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