Zerrendatu Kongresuak-Ingeniaritza honen arabera: gaia "Security and privacy"
1-tik 1-1 emaitza erakusten
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Federated Explainability for Network Anomaly Characterization
(ACM, 2023)Machine learning (ML) based systems have shown promising results for intrusion detection due to their ability to learn complex patterns. In particular, unsupervised anomaly detection approaches offer practical advantages ...