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Author

Fan Zhou

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Conference Sep 2026

Network intrusion detection based on strict validation-guided hybrid feature selection and LightGBM

Network intrusion detection often involves high-dimensional and redundant traffic features. This paper proposes a validation-guided MI-RF feature selection method with LightGBM for binary intrusion detection. Mutual information and random forest importance are combined to rank features from statistical dependency and e...

Fan Zhou, Kai Yan, Fei He · 0 citations
Conference Open access Sep 2026

No More Shortcuts: Network Traffic Anomaly Detection via Bidirectional Prediction

This work proposes BiPred, the first prediction-based detection paradigm for NTAD, which not only eliminates shortcut learning by design but also establishes explicit bidirectional contextual dependencies, making it more sensitive to anomalous traffic.

Xing-Lin Lian, Chengtai Cao, Fang Yu et al. · 0 citations

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