Breaking the “Cat and Mouse Game” of Cross-Border Virtual Currency Money Laundering Crime — Path Optimization Based on Multi-Source Data Fusion of Cloud Think Tank

Abstract

In the era of deep integration between the digital economy and globalization, virtual currencies represented by Bitcoin, with their decentralized architecture, anonymous transaction characteristics, and crossborder circulation advantages, have become a new carrier for cross-border money laundering crimes. Statistics show that the global virtual currency money laundering scale exceeded the $20 billion threshold in 2024, with cross-border money laundering accounting for 60%. The cross-regional mobility, technological concealment, and regulatory arbitrage characteristics of such crimes pose a subversive challenge to the traditional anti-money laundering governance system. Through in-depth deconstruction of the four core models of virtual currency money laundering—anonymous wallet mixing services, cross-chain bridging and decentralized finance (DeFi) operations, and darknet trading ecosystems—it is evident that they face governance dilemmas in electronic data forensics, such as massive and decentralized data storage and enhanced anonymity technology countermeasures. In response to the new patterns of money laundering crimes in the big data era, public security and judicial authorities need to break down industry barriers, establish cross-departmental judicial collaboration mechanisms, and promote the construction of cloud-based think tank systems. These measures will significantly improve the efficiency and accuracy of electronic data forensics, providing a solid judicial guarantee and technical support for combating cross-border virtual currency money laundering crimes and safeguarding national financial security and order.