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Daniela Pinto

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Conference Open access 2026

Generalizing across Networks: Evaluating Model Transferability for Intrusion Detection

This study evaluates the generalization capability of models such as LGBM, RF, XGB, and LSTM, particularly in identifying previously unseen attacks, and investigated the impact of feature selection on generalization and examined how performance changes when combining different datasets.

Miguel Silva, J. Vitorino, Daniela Pinto et al. · 0 citations

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