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面向加密货币反洗钱的智能监管研究:模型、方法与应用

张昳斐 袁勇 杨东 王飞跃

智能科学与技术学报2025,Vol.7Issue(2):165-183,19.
智能科学与技术学报2025,Vol.7Issue(2):165-183,19.DOI:10.11959/j.issn.2096-6652.202522

面向加密货币反洗钱的智能监管研究:模型、方法与应用

Intelligent regulation for cryptocurrency anti-money laundering:models,methods,and applications

张昳斐 1袁勇 1杨东 2王飞跃3

作者信息

  • 1. 中国人民大学数学学院,北京 100872
  • 2. 中国人民大学法学院,北京 100872
  • 3. 中国科学院自动化研究所复杂系统管理与控制国家重点实验室,北京 100190
  • 折叠

摘要

Abstract

In recent years,blockchain-enabled cryptocurrency market has been rapidly evolving to a trillion-dollar eco-nomic system with various kinds of emerging business models and application scenarios.Cryptocurrencies,characterized by decentralization,anonymity,and ease of cross-border circulation,have significantly enriched and evolved the main-stream financial system centered around fiat currencies.However,they are also extensively used in illegal financial activi-ties including money laundering.As such,research on anti-money laundering(AML)regulation for cryptocurrencies has become a burgeoning field of interest,with machine learning and artificial intelligence(AI)emerging as primary method-ologies in areas such as cryptocurrency transaction monitoring,transaction network analysis,and security risk assessment.First,the recent research progress on intelligent AML regulation for cryptocurrencies was systematically reviewed.The main models,methods,and application patterns in AML regulatory research were summarized from multiple dimensions,including traditional machine learning,deep learning,ensemble learning,graph analysis,and heuristic approaches.Mean-while,commonly used datasets in cryptocurrency AML research were compiled,and a performance comparison of existing models and algorithms was provided based on the Elliptic dataset.Finally,the research challenges and future directions of cryptocurrency AML were discussed,aiming to offer valuable references and insights for the prosperity and healthy devel-opment of the cryptocurrency and decentralized finance industry.

关键词

加密货币/反洗钱/区块链/机器学习/人工智能

Key words

cryptocurrency/anti-money laundering/blockchain/machine learning/artificial intelligence

分类

管理科学

引用本文复制引用

张昳斐,袁勇,杨东,王飞跃..面向加密货币反洗钱的智能监管研究:模型、方法与应用[J].智能科学与技术学报,2025,7(2):165-183,19.

基金项目

国家重点研发计划项目(No.2022YFB2720401) (No.2022YFB2720401)

国家自然科学基金项目(No.72171230) (No.72171230)

北京市未来区块链与隐私计算高精尖中心项目 The National Key Research and Development Program of China(No.2022YFB2720401),The National Natural Science Foundation of China(No.72171230),Project from Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing (No.2022YFB2720401)

智能科学与技术学报

2096-6652

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