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Application and optimization of multidimensional evaluation functions for faster malware detection
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  • Taku Tanaka ,
  • HIROTAKA CHIKARAISHI ,
  • Keiko Tanaka ,
  • REIKA HOSOMI ,
  • TOMOAKI TANAKA
Taku Tanaka
Kyoto University

Corresponding Author:[email protected]

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HIROTAKA CHIKARAISHI
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Keiko Tanaka
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REIKA HOSOMI
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TOMOAKI TANAKA
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Abstract

This research proposes a new malware detection technique using a multi-dimensional evaluation function, which comprehensively assesses multiple indicators such as power consumption, network traffic, and CPU usage. This method enables the rapid scoring of malware risks and prioritizes the detection of malware that presents a risk score above a certain threshold. Moreover, this technique surpasses the detection speed of existing security software and provides flexibility by utilizing machine learning to adapt to new patterns and behaviors of malware. These characteristics are expected to significantly improve the efficiency and accuracy of malware detection.