NIDS research misunderstands core operational realities like compromised detectors and high-level triage, leading to irrelevant evaluations; this SoK states three Assertions and recommendations to realign future work.
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LightGBM with team-level features outperforms a bank's existing rule-based change risk process on a one-year dataset while using SHAP for regulatory explainability.
citing papers explorer
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SoK: Reshaping Research on Network Intrusion Detection Systems
NIDS research misunderstands core operational realities like compromised detectors and high-level triage, leading to irrelevant evaluations; this SoK states three Assertions and recommendations to realign future work.
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Learning from Change: Predictive Models for Incident Prevention in a Regulated IT Environment
LightGBM with team-level features outperforms a bank's existing rule-based change risk process on a one-year dataset while using SHAP for regulatory explainability.