CMixing: An Efficient Coin Mixing Platform to Enhance Anonymity in Cryptocurrency Transactions
Summary: CMixing is a CoinJoin mixing platform that enforces a privacy bound c: adversary's probability of linking a decomposed output to its original ≤ c. It uses an approximation algorithm to nearly minimize the number of decomposed outputs, reducing fees. (summarized by gpt-5-mini on Feb 09 2026)
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Authors
- 1. Wangze Ni (Hong Kong University of Science and Technology)
- 2. Yiwei Zhao (Hong Kong Polytechnic University)
- 3. Pengze Chen (Hong Kong University of Science and Technology)
- 4. Lei Chen (Hong Kong University of Science and Technology)
- 5. Peng Cheng (East China Normal University)
- 6. Chen Jason Zhang (Hong Kong Polytechnic University)
BibTeX Citation
@article{ni_vldb24,
title = {{CMixing: An Efficient Coin Mixing Platform to Enhance Anonymity in Cryptocurrency Transactions}},
author = {Ni, Wangze and Zhao, Yiwei and Chen, Pengze and Chen, Lei and Cheng, Peng and Zhang, Chen Jason},
journal = {PVLDB},
series = {{VLDB} '24},
volume = {17},
number = {12},
pages = {4405--4408},
doi = {10.14778/3685800.3685886},
url = {https://doi.org/10.14778/3685800.3685886},
year = {2024}
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Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
| Rank | Cited Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 2,803 | LedgerDB: A Centralized Ledger Database for Universal Audit and Verification | 2020 | VLDB | 8.1076616e-05 |
| 11,667 | When the Recursive Diversity Anonymity Meets the Ring Signature | 2021 | SIGMOD | 5.093636e-05 |
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