Mixed Signals: Analyzing Ground-Truth Data on the Users and Economics of a Bitcoin Mixing Service
Fieke Miedema, Kelvin Lubbertsen, Verena Schrama, Rolf van Wegberg
摘要
Bitcoin mixing is a commodity, mostly offered in the underground economy, selling anonymity in the bitcoin ecosystem. Its popularity is rather remarkable, as transactions initiated by its users run through wallets of a centralized service where personal identifiable information is collected in the mixing process, without any prior knowledge of data retention policies. This leaves us to wonder if users resort to strategies to mitigate these risks -like the usage of IP proxy servicesor test the service with smaller transactions to identify scam services at 'low' costs. In this paper, we explore unique ground-truth data capturing 15,574 mixing transactions, initiated by 8,838 users, totaling US $45M worth of bitcoins mixed through BestMixer between July 2018 and June 2019. We find that user adoption of risk mitigation strategies is limited, while transaction volumes users entrust BestMixer are high and usage is frequent and recurrent -with 23% of users returning. Our analysis shows that only 61% of all transactions used some form of IP address obfuscation -i.e., VPN or VPS usage. We discuss possible explanations for these findings, including how information asymmetries and the role of mixers in the process of cashing-out criminal proceeds might force users to accept the risks associated with bitcoin mixing. Furthermore, we address the implications of our findings for the broader cryptocurrency security ecosystem. 'dust') to multiple addresses, in order to track the coins when they are spent, to deanonymize the addresses' or wallet's owner(s) [37] .
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了最后一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper2
- Ghost Clusters: Evaluating Attribution of Illicit Services through Cryptocurrency TracingKelvin Lubbertsen, Michel van Eeten, Rolf van WegbergUSENIX Security 2025
- Assessing the Aftermath: the Effects of a Global Takedown against DDoS-for-hire ServicesAnh V. Vu, Ben Collier, Daniel R. Thomas, John Kristoff 等USENIX Security 2025
它引用的顶会 Paper5
- Towards Understanding and Demystifying Bitcoin Mixing ServicesLei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang 等WWW 2021 · 被引用 81 次
- Platforms in Everything: Analyzing Ground-Truth Data on the Anatomy and Economics of Bullet-Proof HostingArman Noroozian, Jan Koenders, Eelco van Veldhuizen, Carlos Hernandez Gañán 等USENIX Security 2019 · 被引用 40 次
- Risky Business? Investigating the Security Practices of Vendors on an Online Anonymous Market using Ground-Truth DataJochem van de Laarschot, Rolf van WegbergUSENIX Security 2021 · 被引用 15 次
- Swiped: Analyzing Ground-truth Data of a Marketplace for Stolen Debit and Credit CardsMaxwell Aliapoulios, Cameron Ballard, Rasika Bhalerao, Tobias Lauinger 等USENIX Security 2021 · 被引用 7 次
- Measurement by Proxy: On the Accuracy of Online Marketplace MeasurementsAlejandro Cuevas Villalba, Fieke Miedema, Kyle Soska, Nicolas Christin 等USENIX Security 2022
相关 Paper
- On How Zero-Knowledge Proof Blockchain Mixers Improve, and Worsen User PrivacyZhipeng Wang, Stefanos Chaliasos, Kaihua Qin, Liyi Zhou 等WWW 2023 · 被引用 69 次
- TGweaver: Synthesizing Transaction Graphs for De-anonymization AnalysisFajie Wu, Jiajing Wu, Zhiying Wu, Jun Chen 等WWW 2026
- Evasion Under Blockchain SanctionsEndong Liu, Mark Ryan, Liyi Zhou, Pascal BerrangWWW 2026 · 被引用 1 次
- Mixing Transactions with Arbitrary Values on BlockchainsWangze Ni, Peng Cheng, Lei ChenICDE 2022 · 被引用 7 次
- P2P Mixing and Unlinkable Bitcoin TransactionsTim Ruffing, Pedro Moreno-Sanchez, Aniket KateNDSS 2017 · 被引用 134 次
