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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Главные авторы:	Ao Xiong, Chenbin Qiao, Wenjing Li, Dong Wang, Da Li, Bo Gao, Weixian Wang
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Elsevier 2025-12-01
Серии:	High-Confidence Computing
Предметы:	Blockchain Anomaly detection Auto-encoder Generative adversarial network
Online-ссылка:	http://www.sciencedirect.com/science/article/pii/S2667295225000170
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