Structural features with nonnegative matrix factorization for metamorphic malware detection

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Structural features with nonnegative matrix factorization for metamorphic malware detection

Metamorphic malware is well known for evading signature-based detection by exploiting various code obfuscation techniques. Current metamorphic malware detection approaches require some prior knowledge during feature engineering stage to extract patterns and behaviors from malware. In this paper, we...

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Bibliographic Details
Main Authors:	Yeong, Tyng Ling, Mohd Sani, Nor Fazlida, Abdullah, Mohd. Taufik, Abdul Hamid, Nor Asilah Wati
Format:	Article
Language:	English
Published:	Elsevier Advanced Technology 2021
Online Access:	http://psasir.upm.edu.my/id/eprint/95181/ http://psasir.upm.edu.my/id/eprint/95181/1/Structural%20features%20with%20nonnegative%20matrix%20factorization%20for%20metamorphic%20malware%20detection.pdf

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