A Rigorous Comparative Study of Supervised Machine Learning Techniques for Network Anomaly Detection: Empirical Insights from the UNSW-NB15 Dataset
The increasing complexity of modern network infrastructures has intensified the need for reliable and efficient intrusion detection systems. While advanced deep learning approaches have demonstrated strong performance, their high computational cost and limited interpretability restrict their practic...
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| Format: | Artigo |
| Sprog: | Inglês |
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MDPI AG
2026-05-01
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| Serier: | Computers |
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| Online adgang: | https://www.mdpi.com/2073-431X/15/5/285 |
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