Ring of Gyges: Accountable Anonymous Broadcast via Secret-Shared Shuffle
Wentao Dong, Peipei Jiang, Huayi Duan, Cong Wang, Lingchen Zhao, Qian Wang
Abstract
—Anonymous broadcast systems, which allow users to post messages on a public bulletin board without revealing their identities, have been of persistent interest over the years. Recent designs utilizing multi-party computation (MPC) techniques have shown competitive computational efficiency (CCS’ 20, NDSS’ 22, PETS’ 23). However, these systems still fall short in communication overhead, which also dominates the overall performance. Besides, they fail to adequately address threats from misbehaving users, such as repeatedly spamming the system with inappropriate, illegal content. These tangible issues usually undermine the practical adoption of anonymous systems. This work introduces Gyges , an MPC-based anonymous broadcast system that minimizes its inter-server communication while reconciling critical anonymity and accountability guarantees. At the crux of Gyges lies an honest-majority four-party secret-shared relay . These relay parties jointly execute two key protocols: 1) a “silent shuffling” protocol that requires no online communication but relies solely on non-interactive, local computations to unlink users from their messages, thereby ensuring sender anonymity; 2) a companion fast and lean tracing protocol capable of relinking a specific shuffled message back to its originator when the content severely violates moderation policy, without jeopardizing others’ anonymity guarantees. Additionally, Gyges adheres to the private robustness to resist potential malicious disruptions, guaranteeing the output delivery while preserving sender anonymity. To better support a large user base, the system also supports both vertical and horizontal scaling. Our evaluation results show that Gyges ’s communication-efficient shuffle designs outperform state-of-the-art
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.
Your agent calls
Luneget_paper_fulltext
Free to start. No credit card required.
Terminal
Install the CLIlune papers fulltext b882ba52-bb34-4e72-a9b5-92311a7c70f8Cited by top-tier papers1
Ask how each one uses itBuilds on30
- CryptGPU: Fast Privacy-Preserving Machine Learning on the GPUSijun Tan, Brian Knott, Yuan Tian, David J. WuS&P 2021 · 241 citations
- Scaling ORAM for Secure ComputationJack Doerner, Abhi ShelatCCS 2017 · 221 citations
- Fantastic Four: Honest-Majority Four-Party Secure Computation With Malicious SecurityAnders P. K. Dalskov, Daniel Escudero, Marcel KellerUSENIX Security 2021 · 174 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
Related papers
- Clarion: Anonymous Communication from Multiparty Shuffling ProtocolsSaba Eskandarian, Dan BonehNDSS 2022
- 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
- Separating Broadcast from Cheater IdentificationYashvanth Kondi, Divya RaviCCS 2025
- PolySphinx: Extending the Sphinx Mix Format With Better Multicast SupportDaniel Schadt, Christoph Coijanovic, Christiane Weis, Thorsten StrufeS&P 2024 · 3 citations
