Graçaliz Dimuro

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

Abreu Quevedo, Roger Immich, Giancarlo Lucca, Graçaliz Dimuro, Bruno L. Dalmazo

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…Read more