Comparative Analysis of Low-Dimensional Features and Tree-Based Ensembles for Malware Detection Systems
Advances in machine learning algorithms have improved the performance of malware detection systems for the last decade. However, there are still some challenges such as processing a large amount of malware, learning high-dimensional vectors, high storage usage, and low scalability in learning. This...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2020-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/9057637/ |