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Static Malware Analysis : A Case Study

Author

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  • Satya Narayan Tripathy
  • Sisira Kumar Kapat
  • M. Soujanya
  • Susanta Kumar Das

Abstract

In the arena of digitized era, everyone needs internet connectivity for seeking and sharing of information. Starting from sharing information to social networking, each task requires internet. Some of the malware take advantage of this, and use user activities to activate. Hence the vector will be SDN (Software Defined Network) and SNS (Social Networking Sites). In both the cases, the user cannot be pretended to be a malware specialist or a computer professional who can detect the malicious activity easily. Although a lot of anti-malware tools are available, but it is good if the user can predict the malware. This paper focuses to analyze a malware easily and effectively, which a normal user can capture.

Suggested Citation

  • Satya Narayan Tripathy & Sisira Kumar Kapat & M. Soujanya & Susanta Kumar Das, 2017. "Static Malware Analysis : A Case Study," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 135-141, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174418
    Note: Article URL: https://ijsrcseit.com/CSEIT174418
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