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Open access Aug 2026

Unsupervised blockchain anomaly transaction detection via feature distribution learning

: Blockchain transaction data exhibit heterogeneous structures, complex interactions, and highly imbalanced distributions, which pose significant challenges for unsupervised anomaly detection. Existing methods often fail to effectively model the intrinsic feature distributions of normal transactions and typically lack...

Yu-Zhu Qing, Chi Jiang, Ming Tao et al. · 0 citations

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