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Malware is a malicious software or program, and basically it can cause damage to system or network by attacking without the user’s knowledge. Damages may include loss of information from computer, destroying the user folders and many more. It is necessary to protect our computer systems from malware attack even a single attack can result in data loss. So, in order to provide surveillance, we propose malware detection by using different techniques and technologies like deep learning and machine learning algorithms. Our model provides the advanced detection of malware belonging to different classes using DL and ML algorithms. It can detect up to 24 classes of malwares like Adialer.C, Agent.FYI, etc.

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Malware Detection Using Deep Learning

  • 会议论文

  • 发表日期：

    2025年

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  • Sreenivasulu Gogula,
  • Charmi R. Jani,
  • N. Thulasi Chitra,
  • P. Subhashini

摘要

Malware is a malicious software or program, and basically it can cause damage to system or network by attacking without the user’s knowledge. Damages may include loss of information from computer, destroying the user folders and many more. It is necessary to protect our computer systems from malware attack even a single attack can result in data loss. So, in order to provide surveillance, we propose malware detection by using different techniques and technologies like deep learning and machine learning algorithms. Our model provides the advanced detection of malware belonging to different classes using DL and ML algorithms. It can detect up to 24 classes of malwares like Adialer.C, Agent.FYI, etc.