Metamorphic malware detection using structural features and nonnegative matrix factorization with hidden markov model
Metamorphic malware modifies its code structure using a morphing engine to evade traditional signature-based detection. Previous research has shown the use of opcode instructions as feature representation with Hidden Markov Model in the context of metamorphic malware detection. However, it would be...
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| 主要な著者: | , , , |
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| フォーマット: | 論文 |
| 出版事項: |
Springer Cham
2021
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| オンライン･アクセス: | http://psasir.upm.edu.my/id/eprint/94169/ https://link.springer.com/article/10.1007/s11416-021-00404-z |
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