Malicious Code Variant Detection : A Survey

Authors

  • K V Sreelakshmi  Department of Computer Science Engineering, Government Engineering College Idukki, Idukki, Kerala, India
  • Dileesh E D  Department of Computer Science Engineering, Government Engineering College Idukki, Idukki, Kerala, India

DOI:

https://doi.org//10.32628/IJSRSET207141

Keywords:

Malware Detection, Static Analysis, Dynamic Analysis.

Abstract

Malicious codes have become one of the major threats to computer systems. The malicious software which is also referred to as malware is designed by the attackers and can change their code as they propagate. The existing defense against malware is highly affected by the diversity and volume of malware variants that are being created rapidly. The variants of malware families exhibit typical behavioral patterns exhibiting their origin and purpose. The behavioral patterns can be exploited statically or dynamically to detect and classify malware into their known families. This paper provides a detailed survey of techniques to detect and classify malware into their respective families.

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International Journal of Scientific Research in Science, Engineering and Technology

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Published

2020-02-29

Issue

Volume 7, Issue 1, January-February-2020

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
K V Sreelakshmi, Dileesh E D, " Malicious Code Variant Detection : A Survey, International Journal of Scientific Research in Science, Engineering and Technology(IJSRSET), Print ISSN : 2395-1990, Online ISSN : 2394-4099, Volume 7, Issue 1, pp.245-251, January-February-2020. Available at doi : https://doi.org/10.32628/IJSRSET207141