SPIRAL: Fast, High-Rate Single-Server PIR via FHE Composition
Samir Jordan Menon, David J. Wu
摘要
We introduce the SPIRAL family of single-server private information retrieval (PIR) protocols. SPIRAL relies on a composition of two lattice-based homomorphic encryption schemes: the Regev encryption scheme and the GentrySahai-Waters encryption scheme. We introduce new ciphertext translation techniques to convert between these two schemes and in doing so, enable new trade-offs in communication and computation. Across a broad range of database configurations, the basic version of SPIRAL simultaneously achieves at least a 4.5 × reduction in query size, 1.5 × reduction in response size, and 2 × increase in server throughput compared to previous systems. A variant of our scheme, SPIRALSTREAMPACK, is optimized for the streaming setting and achieves a server throughput of 1.9 GB/s for databases with over a million records (compared to 200 MB/s for previous protocols) and a rate of 0.81 (compared to 0.24 for previous protocols). For streaming large records (e.g., a private video stream), we estimate the monetary cost of SPIRALSTREAMPACK to be only 1.9 × greater than that of the no-privacy baseline where the client directly downloads the desired record.
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引用它的顶会 Paper39
- Private Approximate Nearest Neighbor Search with Sublinear CommunicationSacha Servan-Schreiber, Simon Langowski, Srinivas DevadasS&P 2022 · 被引用 37 次
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- Batch PIR and Labeled PSI with Oblivious Ciphertext CompressionAlexander Bienstock, Sarvar Patel, Joon Young Seo, Kevin YeoUSENIX Security 2024 · 被引用 16 次
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它引用的顶会 Paper10
- Function Secret Sharing: Improvements and ExtensionsElette Boyle, Niv Gilboa, Yuval IshaiCCS 2016 · 被引用 404 次
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- F1: A Fast and Programmable Accelerator for Fully Homomorphic EncryptionNikola Samardzic, Axel Feldmann, Aleksandar Krastev, Srinivas Devadas 等MICRO 2021 · 被引用 294 次
- SoK: Fully Homomorphic Encryption CompilersAlexander Viand, Patrick Jattke, Anwar HithnawiS&P 2021 · 被引用 117 次
- Private Information Retrieval with Sublinear Online TimeHenry Corrigan-Gibbs, Dmitry KoganEUROCRYPT 2020 · 被引用 105 次
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