比特币去匿名化技术研究综述

程杰; 金伟; 夏清; 李淼; 戴韡; 张亚丰; 戴蓬; 李玉成

doi:10.11959/j.issn.1000-436x.2024184

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比特币去匿名化技术研究综述

综述 | 更新时间：2024-12-24

- 比特币去匿名化技术研究综述
- Survey of Bitcoin de-anonymization technology
- 通信学报 2024年45卷第11期页码：244-266
- 作者机构：
  
  1.中国人民公安大学侦查学院，北京 100038
  2.中国信息通信研究院安全研究所，北京 100191
  3.中国科学院软件研究所并行软件与计算科学实验室，北京 100190
  4.中国人民公安大学法学院，北京 100038
  5.中央财经大学金融学院，北京 100081
- 作者简介：
  
  [ "程杰（1994- ），女，河北秦皇岛人，博士，中国人民公安大学讲师，主要研究方向为经济犯罪侦查、数据分析、可信验证等。" ]
  [ "金伟（1994- ），女，北京人，博士，中国信息通信研究院工程师，主要研究方向为网络安全政策标准、访问控制。" ]
  [ "夏清（1994- ），女，重庆人，博士，中国科学院软件研究所副研究员，主要研究方向为区块链智能合约、链上攻击检测、大模型应用。" ]
  [ "李淼（1993- ），男，湖南郴州人，博士，中国人民公安大学讲师，主要研究方向为刑法中的共同犯罪、网络犯罪。" ]
  [ "戴韡（1982- ），男，福建南安人，博士，中央财经大学副教授，主要研究方向为金融科技、区块链、数字货币和不确定理论。" ]
  [ "张亚丰（1993- ），男，山西太原人，中国科学院软件研究所工程师，主要研究方向为区块链技术和大模型应用。" ]
  [ "戴蓬（1971- ），男，山东济南人，中国人民公安大学教授，主要研究方向为经济犯罪侦查。" ]
  [ "李玉成（1961- ），男，浙江温州人，中国科学院软件研究所研究员，主要研究方向为并行软件与计算科学、大数据分析、区块链技术。" ]
- 基金信息：
  
  国家重点研发计划基金资助项目(2023YFB3106303);中央高校基本科研业务费专项资金资助项目(2023JKF02ZK13)
- DOI：10.11959/j.issn.1000-436x.2024184
  中图分类号： TP39
- 收稿日期：2024-08-07，
  
  修回日期：2024-10-08，
  
  纸质出版日期：2024-11-25
- 稿件说明：
移动端阅览
程杰,金伟,夏清等.比特币去匿名化技术研究综述[J].通信学报,2024,45(11):244-266.

CHENG Jie,JIN Wei,XIA Qing,et al.Survey of Bitcoin de-anonymization technology[J].Journal on Communications,2024,45(11):244-266.
程杰,金伟,夏清等.比特币去匿名化技术研究综述[J].通信学报,2024,45(11):244-266. DOI： 10.11959/j.issn.1000-436x.2024184.

CHENG Jie,JIN Wei,XIA Qing,et al.Survey of Bitcoin de-anonymization technology[J].Journal on Communications,2024,45(11):244-266. DOI： 10.11959/j.issn.1000-436x.2024184.

摘要

比特币系统基于区块链技术，具备去中心化、无国界、匿名性等特点，受到产学研界广泛关注。然而，比特币系统在为用户提供隐私保护的同时，也为不法分子开展非法活动提供便利。因此，去匿名化技术研究持续进行并取得系列成果。现有综述多关注隐私保护方案，缺乏去匿名化技术系统梳理。基于此，从用户身份识别、关联地址识别、资金链路追踪3个维度分析现有去匿名化技术及其效果，总结发展现状和难点，并指出未来研究方向。

Abstract

The Bitcoin system

based on blockchain technology

features decentralization

borderlessness

and anonymity

drawing widespread attention from academia and industry. While providing privacy protection for users

the Bitcoin system also facilitates illegal activities. Consequently

de-anonymization techniques have been actively researched

yielding a series of research results. Existing surveys primarily focus on privacy protection schemes

lacking a systematic analysis of de-anonymization techniques. The existing de-anonymization techniques and their effectiveness were analyzed from three dimensions

user identity identification

associated address recognition

and asset flow tracing. The current development status and challenges are summarized

and future research directions are pointed out.

关键词

Keywords

references

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