INTEL_REPORT
arXiv — Cryptography & Security (cs.CR) · published 7/20/2026, 4:00:00 AM · TLP amber
Summary
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Improving Network Anomaly Detection via Choquet-Integral-Based Feature Aggregation arXiv:2607.15389v1 Announce Type: new Abstract: This work investigates a generalized Choquet-integral-based feature aggregation framework to improve anomaly detection in high-dimensional network traffic data. The approach combines adaptive weighting with incremental feature selection to address feature redundancy. Using Random Forest and XGBoost classifiers, we evaluate models trained with bot…
https://arxiv.org/abs/2607.15389
sha256:41b5a4c4d3b7378db6209b7676ee6d1b163ae9d7c217c903f48e0bd89221ba05
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