USENIX Security2024Top-tier venue
Rabbit-Mix: Robust Algebraic Anonymous Broadcast from Additive Bases
Chongwon Cho, Samuel Dittmer, Yuval Ishai, Steve Lu, Rafail Ostrovsky
Abstract
We present Rabbit-Mix, a robust algebraic mixing-based anonymous broadcast protocol in the client-server model. Rabbit-Mix is the first practical sender-anonymous broadcast protocol satisfying both robustness and 100% message delivery assuming a (strong) honest majority of servers. It presents roughly 3× improvement in comparison to Blinder (CCS 2020), a previous anonymous broadcast protocol in the same model, in terms of the number of algebraic operations and communication, while at the same time eliminating the non-negligible failure probability of Blinder. To obtain these improvements, we combine the use of Newton's identities for mixing with a novel way of exploiting an algebraic structure in the powers of field elements, based on an additive 2-basis, to compactly encode and decode client messages. We also introduce a simple and efficient distributed protocol to verify the well-formedness of client input encodings, which should consist of shares of multiple arithmetic progressions tied together.
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- P2P Mixing and Unlinkable Bitcoin TransactionsTim Ruffing, Pedro Moreno-Sanchez, Aniket KateNDSS 2017 · 134 citations
- HoneyBadgerMPC and AsynchroMix: Practical Asynchronous MPC and its Application to Anonymous CommunicationDonghang Lu, Thomas Yurek, Samarth Kulshreshtha, Rahul Govind et al.CCS 2019 · 120 citations
- Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic PrivacySaba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan BonehUSENIX Security 2021 · 98 citations
- MCMix: Anonymous Messaging via Secure Multiparty ComputationNikolaos Alexopoulos, Aggelos Kiayias, Riivo Talviste, Thomas ZachariasUSENIX Security 2017 · 85 citations
- Blinder - Scalable, Robust Anonymous Committed BroadcastIttai Abraham, Benny Pinkas, Avishay YanaiCCS 2020 · 39 citations
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