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nCMD: Benign-Anchored Feature Selection for Imbalanced Network Intrusion Detection
Feature selection is critical for network intrusion detection systems (NIDS) operating under high-dimensional, highly imbalanced traffic, as found in operational and defense networks. Traditional filter methods rank features using global statistics computed symmetrically across classes and thus fail
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