A benchmark report claims 99.94% accuracy for XGBoost with SHAP on encrypted traffic datasets, but the reported metrics are internally inconsistent and the evaluation protocol is contradictory.
A survey on encrypted network traffic analysis applications, techniques, and countermeasures,
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Interpretable Anomaly Detection in Encrypted Traffic Using SHAP with Machine Learning Models
A benchmark report claims 99.94% accuracy for XGBoost with SHAP on encrypted traffic datasets, but the reported metrics are internally inconsistent and the evaluation protocol is contradictory.