Block-chain abnormal transaction detection method based on generative adversarial network and autoencoder
Anomaly detection in blockchain transactions faces several challenges, the most prominent being the imbalance between positive and negative samples. Most transaction data are normal, with only a small fraction of anomalous data. Additionally, blockchain transaction datasets tend to be small and ofte...
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| Auteurs principaux: | , , , , , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Elsevier
2025-12-01
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| Collection: | High-Confidence Computing |
| Sujets: | |
| Accès en ligne: | http://www.sciencedirect.com/science/article/pii/S2667295225000170 |
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