A Novel Feature Representation for Malware Classification
In this study we have presented a novel feature representation for malicious programs that can be used for malware classification. We have shown how to construct the features in a bottom-up approach, and analyzed the overlap of malicious and benign programs in terms of their components. We have show...
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| Veröffentlicht in: | arXiv.org 2022-10 |
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| creator | Musgrave, John Messay-Kebede, Temesguen Kapp, David Ralescu, Anca |
| description | In this study we have presented a novel feature representation for malicious programs that can be used for malware classification. We have shown how to construct the features in a bottom-up approach, and analyzed the overlap of malicious and benign programs in terms of their components. We have shown that our method of analysis offers an increase in feature resolution that is descriptive of data movement in comparison to tf-idf features. |
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| subjects | Classification Malware Representations |
| title | A Novel Feature Representation for Malware Classification |
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