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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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Advanced Technology
2021
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| Online Access: | http://psasir.upm.edu.my/id/eprint/95181/1/Structural%20features%20with%20nonnegative%20matrix%20factorization%20for%20metamorphic%20malware%20detection.pdf http://psasir.upm.edu.my/id/eprint/95181/ https://www.sciencedirect.com/science/article/pii/S0167404821000407 |
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