Cited by 441Blockchain Technology Applications and SecurityInternet Traffic Analysis and Secure E-votingCryptography and Data Security

Mixcoin: Anonymity for Bitcoin with Accountable Mixes

Bonneau, Joseph, Narayanan, Arvind, Miller, Andrew, Clark, Jeremy, Kroll, Joshua A., Felten, Edward W.·2014·Lecture Notes in Computer Science

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Crossref · 10.1007/978-3-662-45472-5_31

Cites

2 of 2 references verified0 citation errors · 0 not checkable

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  • Mixing services are anonymous service providers that divide users' funds into smaller parts, randomly mix these parts to make users and transactions unlinkable, and allow users to verify that the correct amount of coins is sent to their output addresses.

    “Mixing services (e.g., [22] or [70]) are anonymous service providers that divide users' funds into smaller parts; then, these parts are randomly mixed to make users and transactions unlinkable. Users can mix their coins to generate one mixing transaction based on the users' addresses, in such a way that users are still able to verify that the correct amount of coins is sent to their output address”

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Authors
Bonneau, J., Narayanan, A., Miller, A., Clark, J., Kroll, J. A., & Felten, E. W.
Affiliations
  • Princeton University (US)
  • University of Maryland, College Park (US)
  • Concordia University (CA)
Corresponding author
Bonneau, Joseph
Venue
Lecture Notes in Computer Science
Published
2014
Pages
486-504
ISSN
  • 0302-9743 (ISSN-L)
  • 1611-3349
OpenAlex
W1589846406
Cited by
441
References
2
Citations by year
2026: 13 · 2025: 19 · 2024: 23 · 2023: 39 · 2022: 41 · 2021: 74 · 2020: 56 · 2019: 64 · 2018: 44 · 2017: 23 · 2016: 19 · 2015: 20 · 2014: 6
FWCI
19.34
Type
conference paper
Language
en
Open access
closed
Locations
Lecture notes in computer science (publishedVersion)
Topics
  • Physical Sciences › Computer Science › Information Systems › Blockchain Technology Applications and Security
  • Physical Sciences › Computer Science › Artificial Intelligence › Internet Traffic Analysis and Secure E-voting
  • Physical Sciences › Computer Science › Artificial Intelligence › Cryptography and Data Security
Keywords
cryptocurrency anonymity, Bitcoin, incentive alignment, anonymity set, payment privacy

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