arXiv Machine Learning July 20, 2026 By Abreu Quevedo, Roger Immich, Giancarlo Lucca, Gra\c{c}aliz Dimuro, Bruno L. Dalmazo

Improving Network Anomaly Detection via Choquet-Integral-Based Feature Aggregation

Read the original on arXiv Machine Learning →

arXiv:2607. 15389v1 Announce Type: cross Abstract: This work investigates a generalized Choquet-integral-based feature aggregation framework to improve anomaly detection in high-dimensional network traffic data.

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arXiv Machine Learning

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Multi-Class, Multi-Tier Network Intrusion Detection: A Comprehensive and Reproducible Benchmark

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