An Ensemble-Based Malware Detection Model Using Minimum Feature Set
Current commercial antivirus detection engines still rely on signature-based methods. However, with the huge increase in the number of new malware, current detection methods become not suitable. In this paper, we introduce a malware detection model based on ensemble learning. The model is trained u...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Brno University of Technology
2019-12-01
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| Series: | Mendel |
| Subjects: | |
| Online Access: | https://mendel-journal.org/index.php/mendel/article/view/102 |