OnionPIR: Response Efficient Single-Server PIR
Muhammad Haris Mughees, Hao Chen, Ling Ren
摘要
This paper presents OnionPIR and stateful OnionPIR, two single-server PIR schemes that significantly improve the response size and computation cost over state-of-the-art schemes. OnionPIR scheme utilizes recent advances in somewhat homomorphic encryption (SHE) and carefully composes two lattice-based SHE schemes and homomorphic operations to control the noise growth and response size. Stateful OnionPIR uses a technique based on the homomorphic evaluation of copy networks. OnionPIR achieves a response overhead of just 4.2x over the insecure baseline, in contrast to the 100x response overhead of state-of-the-art schemes. Our stateful OnionPIR scheme improves upon the recent stateful PIR framework of Patel et al. and drastically reduces its response overhead by avoiding downloading the entire database in the offline stage. Compared to stateless OnionPIR, Stateful OnionPIR reduces the computation cost by 1.8 x for different database sizes.
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引用它的顶会 Paper28
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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
它引用的顶会 Paper7
- PIR with Compressed Queries and Amortized Query ProcessingSebastian Angel, Hao Chen, Kim Laine, Srinath T. V. SettyS&P 2018 · 被引用 353 次
- Communication-Computation Trade-offs in PIRAsra Ali, Tancrède Lepoint, Sarvar Patel, Mariana Raykova 等USENIX Security 2021 · 被引用 126 次
- Private Information Retrieval with Sublinear Online TimeHenry Corrigan-Gibbs, Dmitry KoganEUROCRYPT 2020 · 被引用 105 次
- A Protocol for Privately Reporting Ad Impressions at ScaleMatthew Green, Watson Ladd, Ian MiersCCS 2016 · 被引用 78 次
- Private Stateful Information RetrievalSarvar Patel, Giuseppe Persiano, Kevin YeoCCS 2018 · 被引用 76 次
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