Detecting new traffic patterns in B5G networks requires unsupervised anomaly detection. We compared OC-SVM, Isolation Forest, and LOF—LOF won with 99% accuracy, enabling predictive retraining that adapts to dynamic QoS demands.
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🌟 Full paper in: https://zenodo.org/records/11045683