Adaptive class-aware feature selection for high-dimensional and imbalanced multi-class network intrusion detection
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High-dimensional feature spaces and severe class imbalance remain fundamental challenges for Machine Learning-based Network Intrusion Detection Systems (ML-NIDS), where minority attack categories are frequently overlooked during feature selection. Existing fea... ...
