Performance Comparison of Random Forest and Decision Tree Algorithms for Anomaly Detection in Networks
The increase in cyber attacks has made network security a very important focus in this digital era. This research compares the performance of two machine learning algorithms, that is Random Forest and Decision Tree for detecting anomalies in networks using the UNSW-NB15 datasets, which include vario...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Politeknik Negeri Batam
2024-11-01
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| Series: | Journal of Applied Informatics and Computing |
| Subjects: | |
| Online Access: | https://jurnal.polibatam.ac.id/index.php/JAIC/article/view/8492 |
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