International Journal of Advanced Culture Technology

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Analysis of Deep Learning Methods for Classification and Detection of Malware

  • Moon, Phil-Joo (Dept. of Information & Communications, Pyeongtaek University)
  • Received : 2021.07.31
  • Accepted : 2021.08.30
  • Published : 2021.09.30
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Abstract

Recently, as the number of new and variant malicious codes has increased exponentially, malware warnings are being issued to PC and smartphone users. Malware is becoming more and more intelligent. Efforts to protect personal information are becoming more and more important as social issues are used to stimulate the interest of PC users and allow users to directly download malicious codes. In this way, it is difficult to prevent malicious code because malicious code infiltrates in various forms. As a countermeasure to solve these problems, many studies are being conducted to apply deep learning. In this paper, we investigate and analyze various deep learning methods to detect and classify malware.

Keywords

Acknowledgement

This work was supported by the research fund from Pyeongtaek University in 2020.

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