Histogram Entropy Representation and Prototype Based Machine Learning Approach for Malware Family Classification
The number of malware has steadily increased as malware spread and evasion techniques have advanced. Machine learning has contributed to making malware analysis more efficient by detecting various behavioral and evasion patterns. However, when analyzing large-scale malware datasets, malware analysis...
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| Auteurs principaux: | , , , , |
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| Format: | article |
| Langue: | EN |
| Publié: |
IEEE
2021
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| Sujets: | |
| Accès en ligne: | https://doaj.org/article/deaead13448e41498741bd0ea8718439 |
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