Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset
This work proposes a Hybrid Fuzzy Ensemble that synergizes the precision of supervised learning with the adaptability of unsupervised clustering, and introduces a robust Min Distance metric that exploits the raw geometric isolation of botnet activation attacks.
Lohith Srikanth Pentapalli, J. Riep, Justin N. Ouwerkerk et al.
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