Foundations of Coin Mixing Services
Noemi Glaeser, Matteo Maffei, Giulio Malavolta, Pedro Moreno-Sanchez, Erkan Tairi, Sri Aravinda Krishnan Thyagarajan
Abstract
Coin mixing services allow users to mix their cryptocurrency coins and thus enable unlinkable payments in a way that prevents tracking of honest users' coins by both the service provider and the users themselves. The easy bootstrapping of new users and backwards compatibility with cryptocurrencies (such as Bitcoin) with limited support for scripts are attractive features of this architecture, which has recently gained considerable attention in both academia and industry. A recent work of Tairi et al. [IEEE S&P 2021] formalizes the notion of a coin mixing service and proposes A 2 L, a new cryptographic protocol that simultaneously achieves high efficiency and interoperability. In this work, we identify a gap in their formal model and substantiate the issue by showing two concrete counterexamples: we show how to construct two encryption schemes that satisfy their definitions but lead to a completely insecure system. To amend this situation, we investigate secure constructions of coin mixing services. First, we develop the notion of blind conditional signatures (BCS), which acts as the cryptographic core for coin mixing services. We propose game-based security definitions for BCS and propose A 2 L + , a modified version of the protocol by Tairi et al. that satisfies our security definitions. Our analysis is in an idealized model (akin to the algebraic group model) and assumes the hardness of the one-more discrete logarithm problem. Finally, we propose A 2 L UC , another construction of BCS that achieves the stronger notion of UC-security (in the standard model), albeit with a significant increase in computation cost. This suggests that constructing a coin mixing service protocol secure under composition requires more complex cryptographic machinery than initially thought. CCS CONCEPTS • Security and privacy → Cryptanalysis and other attacks; Mathematical foundations of cryptography.
Ask about this paper
Your agent reads all of it.
Lune indexed this paper to the last equation, along with the top-tier papers that cite it. Ask a question and the answer quotes them.
Cited by top-tier papers13
- Blockchain CensorshipAnton Wahrstätter, Jens Ernstberger, Aviv Yaish, Liyi Zhou et al.WWW 2024 · 60 citations
- zkCross: A Novel Architecture for Cross-Chain Privacy-Preserving AuditingYihao Guo, Minghui Xu, Xiuzhen Cheng, Dongxiao Yu et al.USENIX Security 2024 · 23 citations
- Foundations of Adaptor SignaturesPaul Gerhart, Dominique Schröder, Pratik Soni, Sri Aravinda Krishnan ThyagarajanEUROCRYPT 2024 · 21 citations
- LedgerLocks: A Security Framework for Blockchain Protocols Based on Adaptor SignaturesErkan Tairi, Pedro Moreno-Sanchez, Clara SchneidewindCCS 2023 · 10 citations
- Securing Lightning Channels against Rational MinersLukas Aumayr, Zeta Avarikioti, Matteo Maffei, Subhra MazumdarCCS 2024 · 4 citations
Builds on6
- TumbleBit: An Untrusted Bitcoin-Compatible Anonymous Payment HubEthan Heilman, Leen Alshenibr, Foteini Baldimtsi, Alessandra Scafuro et al.NDSS 2017 · 322 citations
- Perun: Virtual Payment Hubs over CryptocurrenciesStefan Dziembowski, Lisa Eckey, Sebastian Faust, Daniel MalinowskiS&P 2019 · 222 citations
- P2P Mixing and Unlinkable Bitcoin TransactionsTim Ruffing, Pedro Moreno-Sanchez, Aniket KateNDSS 2017 · 134 citations
- A2L: Anonymous Atomic Locks for Scalability in Payment Channel HubsErkan Tairi, Pedro Moreno-Sanchez, Matteo MaffeiS&P 2021 · 96 citations
- MP-SPDZ: A Versatile Framework for Multi-Party ComputationMarcel KellerCCS 2020 · 24 citations
Related papers
- Universally Composable Adaptor SignaturesPaul Gerhart, Daniel Rausch, Dominique SchroederCCS 2026
- BlindHub: Bitcoin-Compatible Privacy-Preserving Payment Channel Hubs Supporting Variable AmountsXianrui Qin, Shimin Pan, Arash Mirzaei, Zhimei Sui et al.S&P 2023
- P2C2T: Preserving the Privacy of Cross-Chain TransferPanpan Han, Zheng Yan, Laurence T. Yang, Elisa BertinoS&P 2025
- Towards Understanding and Demystifying Bitcoin Mixing ServicesLei Wu, Yufeng Hu, Yajin Zhou, Haoyu Wang et al.WWW 2021 · 81 citations
- Game Theory Does Not Always Help: The Case of Statistical Multi-party Coin TossingChen-Da Liu-Zhang, Elisaweta Masserova, João Miguel Lourenço Ribeiro, Sri Aravinda Krishnan ThyagarajanEUROCRYPT 2026 · 1 citation
