Rabbit-Mix: Robust Algebraic Anonymous Broadcast from Additive Bases

Authors: 

Chongwon Cho and Samuel Dittmer, Stealth Software Technologies Inc.; Yuval Ishai, Technion; Steve Lu, Stealth Software Technologies Inc.; Rafail Ostrovsky, UCLA

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 3x 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 {\em 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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