A fistful of Bitcoins

Author:

Meiklejohn Sarah1,Pomarole Marjori2,Jordan Grant3,Levchenko Kirill3,McCoy Damon4,Voelker Geoffrey M.3,Savage Stefan3

Affiliation:

1. University College London, London, U.K.

2. Facebook, London, U.K.

3. UC San Diego, La Jolla, CA

4. ICSI, Berkeley, CA

Abstract

Bitcoin is a purely online virtual currency, unbacked by either physical commodities or sovereign obligation; instead, it relies on a combination of cryptographic protection and a peer-to-peer protocol for witnessing settlements. Consequently, Bitcoin has the unintuitive property that while the ownership of money is implicitly anonymous, its flow is globally visible. In this paper we explore this unique characteristic further, using heuristic clustering to group Bitcoin wallets based on evidence of shared authority, and then using re-identification attacks (i.e., empirical purchasing of goods and services) to classify the operators of those clusters. From this analysis, we consider the challenges for those seeking to use Bitcoin for criminal or fraudulent purposes at scale.

Publisher

Association for Computing Machinery (ACM)

Subject

General Computer Science

Reference12 articles.

Cited by 170 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. A bitcoin service community classification method based on Random Forest and improved KNN algorithm;IET Blockchain;2024-01-26

2. Bidirectional Privacy-Preserving Network- Constrained Peer-to-Peer Energy Trading Based on Secure Multiparty Computation and Blockchain;IEEE Transactions on Power Systems;2024-01

3. Unlinkability and Interoperability in Account-Based Universal Payment Channels;Financial Cryptography and Data Security. FC 2023 International Workshops;2023-12-05

4. Zone-based Privacy-preserving Billing for Local Energy Market based on Multiparty Computation;2023 IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm);2023-10-31

5. SIEGE: Self-Supervised Incremental Deep Graph Learning for Ethereum Phishing Scam Detection;Proceedings of the 31st ACM International Conference on Multimedia;2023-10-26

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3