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Rabbit-Mix: Robust Algebraic Anonymous Broadcast from Additive Bases

Chongwon Cho, Samuel Dittmer, Yuval Ishai, Steve Lu, Rafail Ostrovsky

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationProceedings of the 33rd USENIX Security Symposium
Pages3151-3168
Number of pages18
ISBN (Electronic)9781939133441
StatePublished - 2024
Externally publishedYes
Event33rd USENIX Security Symposium, USENIX Security 2024 - Philadelphia, United States
Duration: 14 Aug 202416 Aug 2024

Publication series

NameProceedings of the 33rd USENIX Security Symposium

Conference

Conference33rd USENIX Security Symposium, USENIX Security 2024
Country/TerritoryUnited States
CityPhiladelphia
Period14/08/2416/08/24

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Safety, Risk, Reliability and Quality

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