Heterogeneous Data Fusion: A Scalable Approach to Intrusion Detection
Machine Learning-based Intrusion Detection Systems (ML-IDS) are core functionalities in responding to today’s cyber-attacks by learning, detecting, and classifying various attack patterns. However, despite achieving high overall accuracy, existing ML-IDS approaches suffer from high false posi...
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| Asıl Yazarlar: | , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
IEEE
2025-01-01
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| Seri Bilgileri: | IEEE Access |
| Konular: | |
| Online Erişim: | https://ieeexplore.ieee.org/document/11201264/ |
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