Blinder - Scalable, Robust Anonymous Committed Broadcast
Ittai Abraham, Benny Pinkas, Avishay Yanai
摘要
Anonymous Committed Broadcast is a functionality that extends DC-nets and allows a set of clients to privately commit messages to set of servers, which can then simultaneously open all committed messages in a random ordering. Anonymity holds since no one can learn the ordering or the content of the client's committed message. We present Blinder, the first system that provides a scalable and fully robust solution for anonymous committed broadcast. Blinder maintains both properties of security (anonymity) and robustness (aka. 'guaranteed output delivery' or 'availability') in the face of a global active (malicious) adversary. Moreover, Blinder is censorship resistant, that is, an honest client cannot be blocked from participating. Blinder obtains its security and scalability by carefully combining classical and state-of-the-art techniques from the fields of anonymous communication and secure multiparty computation (MPC). Relying on MPC for such a system is beneficial since it naturally allows the parties (servers) to enforce some properties on accepted messages prior their publication. A GPU based implementation of Blinder with 5 servers, which accepts 1 million clients, incurs a latency of less than 8 minutes; faster by a factor of than the 3-servers Riposte protocol (S&P '15), which is not robust and not censorship resistant; we get an even larger factor when comparing to AsynchroMix and PowerMix (CCS '19), which are the only ones that guarantee fairness (or robustness in the online phase).
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引用它的顶会 Paper13
- Spectrum: High-bandwidth Anonymous BroadcastZachary Newman, Sacha Servan-Schreiber, Srinivas DevadasNSDI 2022 · 被引用 37 次
- Programmable Distributed Point FunctionsElette Boyle, Niv Gilboa, Yuval Ishai, Victor I. KolobovCRYPTO 2022 · 被引用 18 次
- Boomerang: Metadata-Private Messaging under Hardware TrustPeipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang 等NSDI 2023 · 被引用 13 次
- Rabbit-Mix: Robust Algebraic Anonymous Broadcast from Additive BasesChongwon Cho, Samuel Dittmer, Yuval Ishai, Steve Lu 等USENIX Security 2024 · 被引用 2 次
- Near-Optimal Constrained Padding for Object Retrievals with DependenciesPranay Jain, Andrew C. Reed, Michael K. ReiterUSENIX Security 2024 · 被引用 1 次
它引用的顶会 Paper9
- Making Smart Contracts SmarterLoi Luu, Duc-Hiep Chu, Hrishi Olickel, Prateek Saxena 等CCS 2016 · 被引用 2,306 次
- Function Secret Sharing: Improvements and ExtensionsElette Boyle, Niv Gilboa, Yuval IshaiCCS 2016 · 被引用 404 次
- Sync HotStuff: Simple and Practical Synchronous State Machine ReplicationIttai Abraham, Dahlia Malkhi, Kartik Nayak, Ling Ren 等S&P 2020 · 被引用 240 次
- The Loopix Anonymity SystemAnia M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser 等USENIX Security 2017 · 被引用 214 次
- HoneyBadgerMPC and AsynchroMix: Practical Asynchronous MPC and its Application to Anonymous CommunicationDonghang Lu, Thomas Yurek, Samarth Kulshreshtha, Rahul Govind 等CCS 2019 · 被引用 120 次
相关 Paper
- MCMix: Anonymous Messaging via Secure Multiparty ComputationNikolaos Alexopoulos, Aggelos Kiayias, Riivo Talviste, Thomas ZachariasUSENIX Security 2017 · 被引用 85 次
- Breaking the Barrier for Asynchronous MPC with a FriendBanashri Karmakar, Aniket Kate, Shravani Patil, Arpita Patra 等S&P 2026
- Ring of Gyges: Accountable Anonymous Broadcast via Secret-Shared ShuffleWentao Dong, Peipei Jiang, Huayi Duan, Cong Wang 等NDSS 2025
- Clarion: Anonymous Communication from Multiparty Shuffling ProtocolsSaba Eskandarian, Dan BonehNDSS 2022
- PolySphinx: Extending the Sphinx Mix Format With Better Multicast SupportDaniel Schadt, Christoph Coijanovic, Christiane Weis, Thorsten StrufeS&P 2024 · 被引用 3 次
