A stacking ensemble of KNN, SVM, XGBoost, and ANN is claimed to reach 94.3% accuracy on network anomaly detection, but no dataset, code, or privacy analysis is provided.
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Privacy-Preserving Hybrid Ensemble Model for Network Anomaly Detection: Balancing Security and Data Protection
A stacking ensemble of KNN, SVM, XGBoost, and ANN is claimed to reach 94.3% accuracy on network anomaly detection, but no dataset, code, or privacy analysis is provided.