基于多域情报驱动的虚拟货币犯罪资金流链上溯源研究OACHSSCD
Research on On-Chain Tracing of Virtual Currency Criminal Fund Flows Driven by Multi-Domain Intelligence
[目的]虚拟货币的去中心化匿名交易成为犯罪团伙将犯罪收入上链流转"由黑变白"的内在动力机制.对此,需利用数字社会泛在联结的跨域情报信息整合侦查资源,破解涉案虚拟货币流转路径复杂、交易出口多、流入交易"黑盒"等追踪难题.[方法]面对犯罪团伙利用跨链、混币、智能合约技术分割涉案资金的多重逻辑,需绕开被反追踪技术隐蔽控制的资金端口,基于引流、通讯、网络等链式犯罪发生环节,通过资金数据与非资金数据的相互补足和交叉验证精准定位匿名交易中的人员信息和涉案资产.[结果/结论]实战追踪要利用多域情报开展涉案地址"聚合"与"成链"研判,通过增加犯罪行为模式嵌入资金流转关系图谱的黏性,强化交易地址与犯罪情报的匹配度与信息增值空间,完成链上地址账户与链下真实身份的匹配锁定.
[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.
谢玲;高勇
西南政法大学 重庆 401120西南政法大学 重庆 401120
社会科学
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
virtual currency crimeintelligence analysisaddress involveddata analysis and judgmenttracing the source of capital flow
《情报杂志》 2026 (5)
89-96,113,9
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)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)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)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.
评论