MCMix: Anonymous Messaging via Secure Multiparty Computation
Nikolaos Alexopoulos, Aggelos Kiayias, Riivo Talviste, Thomas Zacharias
摘要
We present ‘MCMix’, an anonymous messaging system that completely hides communication metadata and can scale in the order of hundreds of thousands of users. Our approach is to isolate two suitable functionalities, called dialing and conversation, that when used in succession realize anonymous messaging. With this as a starting point, we apply secure multiparty computation (``MC'' or MPC) and proceed to realize them. We present an implementation using a prevalent MPC system (Sharemind) that is competitive in terms of latency with previous messaging systems that only offer much weaker privacy guarantees. Our solution can be instantiated in a variety of different ways with different MPC implementations, overall illustrating how MPC is a viable and competitive alternative to mix-nets and DC-nets for anonymous communication.
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- Blinder - Scalable, Robust Anonymous Committed BroadcastIttai Abraham, Benny Pinkas, Avishay YanaiCCS 2020 · 被引用 39 次
- Private resource allocators and their applicationsSebastian Angel, Sampath Kannan, Zachary B. RatliffS&P 2020 · 被引用 15 次
- Boomerang: Metadata-Private Messaging under Hardware TrustPeipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang 等NSDI 2023 · 被引用 13 次
- Abuse Reporting for Metadata-Hiding Communication Based on Secret SharingSaba EskandarianUSENIX Security 2024 · 被引用 9 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
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