Metamorphic Virus: Analysis and Detection |
Author(s): |
| Rutuja Vijay Dukhande , PVPPCOE; Tejashree Madhukar Nawale, PVPPCOE; Aparna Bhaskar Chaudhary, PVPPCOE; Prerana Avinash Naik, PVPPCOE |
Keywords: |
| MVD, K-Means Clustering Algorithm, Heuristic Analysis |
Abstract |
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Metamorphic viruses transform their code as they propagate, thus evading detection by static signature-based virus scanners, while keeping their functionality. They use code obfuscation techniques to challenge deeper static analysis. With the growing numbers of personal computer users the need for good malware detection techniques has been increasing with considerable rate. The aim of this project is to build Metamorphic Virus Detection (MVD) application to detect metamorphic virus. The report begins with the study of in-depth analysis of metamorphic viruses is presented. At the end of the report, performance of the technique implemented as well effectiveness evaluated. |
Other Details |
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Paper ID: IJSRDV7I11145 Published in: Volume : 7, Issue : 1 Publication Date: 01/04/2019 Page(s): 1867-1869 |
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