Adoption and Actual Privacy of Decentralized CoinJoin Implementations in Bitcoin

Rainer Stütz, Johann Stockinger, Pedro Moreno-Sanchez, Haslhofer Bernhard, Matteo Maffei

Publikation: Beitrag in Buch oder TagungsbandVortrag mit Beitrag in TagungsbandBegutachtung

Abstract

We present a first measurement study on the adoption and actual privacy of two popular decentralized CoinJoin implementations, Wasabi and Samourai, in the broader Bitcoin ecosystem. By applying highly accurate (¿ 99%) algorithms we can effectively detect 30,251 Wasabi and 223,597 Samourai transactions within the block range 530,500 to 725,348 (2018-07-05 to 2022-02-28). We also found a steady adoption of these services with a total value of mixed coins of ca. 4.74 B USD and average monthly mixing amounts of ca. 172.93 M USD) for Wasabi and ca. 41.72 M USD for Samourai. Furthermore, we could trace ca. 322 M USD directly received by cryptoasset exchanges and ca. 1.16 B USD indirectly received via two hops. Our analysis further shows that the traceability of addresses during the pre-mixing and post-mixing narrows down the anonymity set provided by these coin mixing services. It also shows that the selection of addresses for the CoinJoin transaction can harm anonymity. Overall, this is the first paper to provide a comprehensive picture of the adoption and privacy of distributed CoinJoin transactions. Understanding this picture is particularly interesting in the light of ongoing regulatory efforts that will, on the one hand, affect compliance measures implemented in cryptocurrency exchanges and, on the other hand, the privacy of end-users.
OriginalspracheEnglisch
TitelAFT '22: Proceedings of the 4th ACM Conference on Advances in Financial Technologies
Herausgeber (Verlag)Association for Computing Machinery (ACM)
Seiten254–267
Seitenumfang14
ISBN (Print)978-1-4503-9861-9
PublikationsstatusVeröffentlicht - 5 Juli 2023
VeranstaltungAFT '22: 4th ACM Conference on Advances in Financial Technologies - Cambridge MA USA, Cambridge, USA/Vereinigte Staaten
Dauer: 19 Sept. 202221 Sept. 2022

Konferenz

KonferenzAFT '22: 4th ACM Conference on Advances in Financial Technologies
Land/GebietUSA/Vereinigte Staaten
StadtCambridge
Zeitraum19/09/2221/09/22

Research Field

  • Ehemaliges Research Field - Data Science

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