HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering

HBTBD: A Heterogeneous Bitcoin Transaction Behavior Dataset for Anti-Money Laundering

In this paper, we predict money laundering in Bitcoin transactions by leveraging a deep learning framework and incorporating more characteristics of Bitcoin transactions. We produced a dataset containing 46,045 Bitcoin transaction entities and 319,311 Bitcoin wallet addresses associated with them. W...

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Bibliographic Details
Main Authors: Jialin Song, Yijun Gu
Format: Article
Language:English
Published: MDPI AG 2023-07-01
Series:Applied Sciences
Subjects:
graph embedding
Bitcoin anti-money laundering
machine learning
heterogeneous graph neural networks
metapath encoder
Online Access:https://www.mdpi.com/2076-3417/13/15/8766

Internet

https://www.mdpi.com/2076-3417/13/15/8766

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