情报杂志2026，Vol.45Issue(5)：89-96,113,9.DOI:10.3969/j.issn.1002-1965.2026.05.011
基于多域情报驱动的虚拟货币犯罪资金流链上溯源研究
Research on On-Chain Tracing of Virtual Currency Criminal Fund Flows Driven by Multi-Domain Intelligence
摘要
Abstract
[Purpose]The decentralized anonymous trading of virtual currencies has become the internal driving mechanism for criminal gangs to turn their criminal income onto the chain for circulation from"black to white".In this regard,it is necessary to integrate investi-gation resources by leveraging the ubiquitous cross-domain intelligence information of the digital society to solve the tracking problems such as the complex circulation paths,multiple transaction outlets,and inflow into the"black box"of transactions of the involved virtual currencies.[Method]In the face of the multiple logics of criminal gangs using cross-chain,mixed-coin,and smart contract technologies to divide the involved funds,it is necessary to bypass the fund ports that are concealed and controlled by anti-tracking technologies.Based on the occurrence links of chain crimes such as traffic diversion,communication,and networks,the personnel information and involved as-sets in anonymous transactions can be precisely located through the mutual complementarity and cross-verification of fund data and non-fund data.[Result/Conclusion]In practical tracking,multi-domain intelligence should be utilized to conduct"aggregation"and"chain formation"analysis of involved addresses.By enhancing the stickiness of embedding criminal behavior patterns into the capital flow rela-tionship graph,the matching degree and information value-added space between transaction addresses and criminal intelligence should be strengthened,and the matching and locking of on-chain address accounts with off-chain real identities should be completed.关键词
虚拟货币犯罪/情报分析/涉案地址/数据研判/资金流溯源/网络画像Key words
virtual currency crime/intelligence analysis/address involved/data analysis and judgment/tracing the source of capital flow/分类
社会科学引用本文复制引用
谢玲,高勇..基于多域情报驱动的虚拟货币犯罪资金流链上溯源研究[J].情报杂志,2026,45(5):89-96,113,9.基金项目
重庆市教委科学技术研究计划重点项目"涉诈资金异常流动智能识别预警研究"(编号:KJZD-K202500305) （编号:KJZD-K202500305）
重庆市科学技术局技术创新与应用发展专项社发领域重点项目"电信网络诈骗侦防关键技术研究"(编号:CSTB2022TIAD-KPX0107) （编号:CSTB2022TIAD-KPX0107）
辽宁省科技计划联合计划(技术攻关计划项目)"涉电信网络诈骗犯罪APP黑样本检测系统"(编号:2024011324-JH2/1026) （技术攻关计划项目）
西南政法大学重点委托项目"资金预警账户流动异常识别研究"(编号:2023-XZWTZD07)研究成果. （编号:2023-XZWTZD07）
