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cs.CR2026
Bridging the Closed-World Gap: Interpretable Anomaly Detection via a Hybrid TSK-FCM Ensemble on the BETH Dataset
Lohith Srikanth Pentapalli, Josette Riep, Justin Ouwerkerk +1
A fundamental paradox plagues the deployment of Machine Learning in cybersecurity: supervised models generalize poorly to novel, Out-of-Distribution (OoD) attacks, whereas unsuperv…
cs.CR2025
A Gradient-Optimized TSK Fuzzy Framework for Explainable Phishing Detection
Lohith Srikanth Pentapalli, Jon Salisbury, Josette Riep +1
Phishing attacks represent an increasingly sophisticated and pervasive threat to individuals and organizations, causing significant financial losses, identity theft, and severe dam…