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区块链3.0时代虚拟货币洗钱犯罪情报分析研究

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[研究目的]提出针对虚拟货币洗钱犯罪的情报分析工具和方法,以增强执法机关打击此类犯罪的能力,旨在响应区块链技术快速发展背景下,虚拟货币洗钱犯罪日益增多且侦查难度加剧的挑战.[研究方法]综合运用文献分析、比较分析和逻辑分析方法,梳理国内外关于虚拟货币洗钱犯罪情报相关研究,总结区块链3.0时代虚拟货币洗钱的技术和特点,提炼虚拟货币洗钱犯罪情报分析的一般流程与重点技术.[研究结论]混币服务、去中心化交易和跨链技术成为当下虚拟货币洗钱应用的主要技术,应优化情报分析工具、技术和流程:情报分析工具呈现专业化和应用性特点;人工智能在情报分析技术中发挥愈加重要的作用;情报分析流程应注重一般流程的构建,包括数据收集与预处理、地址间分析、地址与主体关系分析、主体与行为分析,助力虚拟货币洗钱犯罪的追踪和分析.
Analysis on Virtual Currency Money Laundering Crime Intelligence in the Blockchain 3.0 Era
[Research purpose]This study proposes intelligence analysis tools and methods for combating virtual currency money launde-ring crimes,aiming to enhance law enforcement agencies'capabilities in response to the increasing challenges of virtual currency money laundering crimes amidst the rapid development of blockchain technology.[Research method]A comprehensive approach utilizing litera-ture analysis,comparative analysis,and logical analysis is employed to review domestic and international research related to intelligence on virtual currency money laundering crimes.The study summarizes the technologies and characteristics of virtual currency money laundering in the era of blockchain 3.0,and extracts the general process and key technologies of intelligence analysis for virtual currency money laun-dering crimes.[Research conclusion]Coin-mixing services,decentralized transactions,and cross-chain technologies have become the main technologies used in current virtual currency money laundering applications.Intelligence analysis tools,technologies,and processes should be optimized:intelligence analysis tools exhibit specialization and applicability;artificial intelligence plays an increasingly important role in intelligence analysis technology;the intelligence analysis process should focus on constructing a general framework,including data collection and preprocessing,address interlink analysis,address-entity relationship analysis,and entity-behavior analysis,to facilitate the tracking and analysis of virtual currency money laundering crimes.

virtual currency money laundering crimeblockchainintelligence analysisartificial intelligence

王燕、潘振生、贾林鹏

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中国人民公安大学法学院 北京 100038

北京市西城区人民检察院 北京 100035

中国科学院计算技术研究所 北京 100190

虚拟货币洗钱犯罪 区块链 情报分析 人工智能

2024

情报杂志
陕西省科学技术信息研究所

情报杂志

CSTPCDCSSCICHSSCD北大核心
影响因子:1.502
ISSN:1002-1965
年,卷(期):2024.43(8)
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