XRD: Scalable Messaging System with Cryptographic Privacy
Albert Kwon, David Lu, Srinivas Devadas
摘要
Even as end-to-end encrypted communication becomes more popular, private messaging remains a challenging problem due to metadata leakages, such as who is communicating with whom. Most existing systems that hide communication metadata either (1) do not scale easily, (2) incur significant overheads, or (3) provide weaker guarantees than cryptographic privacy, such as differential privacy or heuristic privacy. This paper presents XRD (short for Crossroads), a metadata private messaging system that provides cryptographic privacy, while scaling easily to support more users by adding more servers. At a high level, XRD uses multiple mix networks in parallel with several techniques, including a novel technique we call aggregate hybrid shuffle. As a result, XRD can support 2 million users with 251 seconds of latency with 100 servers. This is 12x and 3.7x faster than Atom and Pung, respectively, which are prior scalable messaging systems with cryptographic privacy.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper22
- Express: Lowering the Cost of Metadata-hiding Communication with Cryptographic PrivacySaba Eskandarian, Henry Corrigan-Gibbs, Matei Zaharia, Dan BonehUSENIX Security 2021 · 被引用 98 次
- Addra: Metadata-private voice communication over fully untrusted infrastructureIshtiyaque Ahmad, Yuntian Yang, Divyakant Agrawal, Amr El Abbadi 等OSDI 2021 · 被引用 79 次
- Spectrum: High-bandwidth Anonymous BroadcastZachary Newman, Sacha Servan-Schreiber, Srinivas DevadasNSDI 2022 · 被引用 37 次
- Mycelium: Large-Scale Distributed Graph Queries with Differential PrivacyEdo Roth, Karan Newatia, Yiping Ma, Ke Zhong 等SOSP 2021 · 被引用 19 次
- ShorTor: Improving Tor Network Latency via Multi-hop Overlay RoutingKyle Hogan, Sacha Servan-Schreiber, Zachary Newman, Ben Weintraub 等S&P 2022 · 被引用 17 次
它引用的顶会 Paper4
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- Scalable Bias-Resistant Distributed RandomnessEwa Syta, Philipp Jovanovic, Eleftherios Kokoris-Kogias, Nicolas Gailly 等S&P 2017 · 被引用 327 次
- The Loopix Anonymity SystemAnia M. Piotrowska, Jamie Hayes, Tariq Elahi, Sebastian Meiser 等USENIX Security 2017 · 被引用 214 次
- Catena: Efficient Non-equivocation via BitcoinAlin Tomescu, Srinivas DevadasS&P 2017 · 被引用 144 次
相关 Paper
- Boomerang: Metadata-Private Messaging under Hardware TrustPeipei Jiang, Qian Wang, Jianhao Cheng, Cong Wang 等NSDI 2023 · 被引用 13 次
- MCMix: Anonymous Messaging via Secure Multiparty ComputationNikolaos Alexopoulos, Aggelos Kiayias, Riivo Talviste, Thomas ZachariasUSENIX Security 2017 · 被引用 85 次
- Myco: Unlocking Polylogarithmic Accesses in Metadata-Private MessagingDarya Kaviani, Deevashwer Rathee, Bhargav Annem, Raluca Ada PopaS&P 2025
- Groove: Flexible Metadata-Private MessagingLudovic Barman, Moshe Kol, David Lazar, Yossi Gilad 等OSDI 2022 · 被引用 17 次
- Clarion: Anonymous Communication from Multiparty Shuffling ProtocolsSaba Eskandarian, Dan BonehNDSS 2022
