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Multi-Level Distributional Entropy from Flow Summary Statistics for Explainable Network Intrusion Detection
Machine learning network intrusion detection systems (IDS) operate on aggregate flow statistics that discard the distributional structure of traffic, and although information-theoretic measures capture that structure, established entropy estimators require raw packet sequences that pre-aggregated fl
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