Review of obfuscated malware detection algorithms based on machine learning
DOI:
https://doi.org/10.26439/ciis2022.6076Keywords:
malware, obfuscation, detection, machine learningAbstract
Malware developers increasingly evolve their techniques to effectively attack the system, one of these techniques is code obfuscation that makes it difficult to detect malware in the traditional mechanisms used by current antiviruses. Given this, it is proposed to review articles related to the detection of obfuscated malware with machine learning to choose the best analysis techniques for this type of malware and use the best algorithms for future experimentation with them.
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References
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