Oblivious Message Retrieval
Zeyu Liu, Eran Tromer
摘要
Anonymous message delivery systems, such as private messaging services and privacy-preserving payment systems, need a mechanism for recipients to retrieve the messages addressed to them without leaking metadata or letting their messages be linked. Recipients could download all posted messages and scan for those addressed to them, but communication and computation costs are excessive at scale.
We show how untrusted servers can detect messages on behalf of recipients, and summarize these into a compact encrypted digest that recipients can easily decrypt. These servers operate obliviously and do not learn anything about which messages are addressed to which recipients. Privacy, soundness, and completeness hold even if everyone but the recipient is adversarial and colluding (unlike in prior schemes).
Our starting point is an asymptotically-efficient approach, using Fully Homomorphic Encryption and homomorphically-encoded Sparse Random Linear Codes. We then address the concrete performance using bespoke tailoring of lattice-based cryptographic components, alongside various algebraic and algorithmic optimizations. This reduces the digest size to a few bits per message scanned. Concretely, the servers' cost is ∼$1 per million messages scanned, and the resulting digests can be decoded by recipients in under ∼20 ms. Our schemes can thus practically attain the strongest form of receiver privacy for current applications such as privacy-preserving cryptocurrencies.
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 Paper14
- PerfOMR: Oblivious Message Retrieval with Reduced Communication and ComputationZeyu Liu, Eran Tromer, Yunhao WangUSENIX Security 2024 · 被引用 16 次
- Batch PIR and Labeled PSI with Oblivious Ciphertext CompressionAlexander Bienstock, Sarvar Patel, Joon Young Seo, Kevin YeoUSENIX Security 2024 · 被引用 16 次
- How to Compress Encrypted DataNils Fleischhacker, Kasper Green Larsen, Mark SimkinEUROCRYPT 2023 · 被引用 5 次
- Private Signaling Secure Against Actively Corrupted ServersHaotian Chu, Xiao Wang, Yanxue JiaCCS 2026 · 被引用 3 次
- Practical Zero-Knowledge PIOP for Maliciously Secure Multiparty Homomorphic EncryptionIntak Hwang, Hyeonbum Lee, Jinyeong Seo, Yongsoo SongCCS 2025 · 被引用 1 次
它引用的顶会 Paper8
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- Cheetah: Optimizing and Accelerating Homomorphic Encryption for Private InferenceBrandon Reagen, Wooseok Choi, Yeongil Ko, Vincent T. Lee 等HPCA 2021 · 被引用 147 次
- Communication-Computation Trade-offs in PIRAsra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova 等USENIX Security 2021 · 被引用 126 次
- BITE: Bitcoin Lightweight Client Privacy using Trusted ExecutionSinisa Matetic, Karl Wüst, Moritz Schneider, Kari Kostiainen 等USENIX Security 2019 · 被引用 109 次
- Improving Signal's Sealed SenderIan Martiny, Gabriel Kaptchuk, Adam J. Aviv, Daniel S. Roche 等NDSS 2021
相关 Paper
- Group Oblivious Message RetrievalZeyu Liu, Eran Tromer, Yunhao WangS&P 2024 · 被引用 24 次
- SophOMR: Improved Oblivious Message Retrieval from SIMD-Aware Homomorphic CompressionKeewoo Lee, Yongdong YeoUSENIX Security 2026
- Oblivious SignalingMirza Kamrul Bashar Shuhan, Foteini Baldimtsi, Giuseppe AtenieseUSENIX Security 2026
- InstantOMR: Oblivious Message Retrieval with Low Latency and Optimal ParallelizabilityHaofei Liang, Zeyu Liu, Eran Tromer, Xiang Xie 等USENIX Security 2026
- StOMR: Stateful Oblivious Message RetrievalCharles Gouert, Keewoo Lee, Dimitris Mouris, Yiannis Tselekounis 等CCS 2026
