Paper 2025/1201

BitBatSPIR: Efficient Batch Symmetric Private Information Retrieval from PSI

Shuaishuai Li, Zhongguancun Laboratory
Liqiang Peng, Alibaba Group (China)
Weiran Liu, Alibaba Group (China)
Cong Zhang, Tsinghua University
Zhen Gu, Alibaba Group (China)
Dongdai Lin, Institute of Information Engineering, Chinese Academy of Sciences, University of Chinese Academy of Sciences
Abstract

Private Information Retrieval (PIR) allows a client to retrieve an entry from a database held by a server without leaking which entry is being requested. Symmetric PIR (SPIR) is a stronger variant of PIR with database privacy so that the client knows nothing about the database other than the retrieved entry. This work studies SPIR in the batch setting (BatchSPIR), where the client wants to retrieve multiple entries. In particular, we focus on the case of bit entries, which has important real-world applications. We set up the connection between bit-entry information retrieval and set operation, and propose a black-box construction of BatchSPIR from Private Set Intersection (PSI). By applying an efficient PSI protocol with asymmetric set sizes, we obtain our BatchSPIR protocol named $\mathsf{BitBatSPIR}$. We also introduce several optimizations for the underlying PSI. These optimizations improve the efficiency of our concrete BatchSPIR construction as well as the PSI protocol. We implement $\mathsf{BitBatSPIR}$ and compare the performance with the state-of-the-art PIR protocol in the batch setting. Our experimental results show that $\mathsf{BitBatSPIR}$ not only achieves a stronger security guarantee (symmetric privacy) but also has a better performance for large databases, especially in the Wide Area Network (WAN) setting.

Metadata
Available format(s)
PDF
Category
Cryptographic protocols
Publication info
Published elsewhere. Transactions on Dependable and Secure Computing (TDSC)
DOI
10.1109/TDSC.2025.3579365
Contact author(s)
liss @ zgclab edu cn
plq270998 @ alibaba-inc com
weiran lwr @ alibaba-inc com
zhangcong @ mail tsinghua edu cn
guzhen gz @ alibaba-inc com
ddlin @ iie ac cn
History
2025-06-30: approved
2025-06-27: received
See all versions
Short URL
https://ia.cr/2025/1201
License
Creative Commons Attribution
CC BY

BibTeX

@misc{cryptoeprint:2025/1201,
      author = {Shuaishuai Li and Liqiang Peng and Weiran Liu and Cong Zhang and Zhen Gu and Dongdai Lin},
      title = {{BitBatSPIR}: Efficient Batch Symmetric Private Information Retrieval from {PSI}},
      howpublished = {Cryptology {ePrint} Archive, Paper 2025/1201},
      year = {2025},
      doi = {10.1109/TDSC.2025.3579365},
      url = {https://eprint.iacr.org/2025/1201}
}
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