Paper 2023/133

Prism: Private Set Intersection and Union with Aggregation over Multi-Owner Outsourced Data

Shantanu Sharma, New Jersey Institute of Technology
Yin Li, Dongguan University of Technology, China
Sharad Mehrotra, University of California, Irvine
Nisha Panwar, Augusta University, USA
Dhrubajyoti Ghosh, University of California, Irvine
Peeyush Gupta, University of California, Irvine
Abstract

This paper proposes Prism, Private Verifiable Set Computation over Multi-Owner Outsourced Databases, a secret sharing based approach to compute private set operations (i.e., intersection and union), as well as aggregates over outsourced databases belonging to multiple owners. Prism enables data owners to pre-load the data onto non-colluding servers and exploits the additive and multiplicative properties of secret-shares to compute the above-listed operations in (at most) two rounds of communication between the servers (storing the secret-shares) and the querier, resulting in a very efficient implementation. Also, Prism does not require communication among the servers and supports result verification techniques for each operation to detect malicious adversaries. Experimental results show that Prism scales both in terms of the number of data owners and database sizes, to which prior approaches do not scale.

Metadata
Available format(s)
PDF
Category
Applications
Publication info
Preprint.
Keywords
Private set intersectionPrivate set unionsecret-sharingInformation-theoretic securityverifiable computations
Contact author(s)
shantanu sharma @ njit edu
yunfeiyangli @ gmail com
sharad @ ics uci edu
npanwar @ augusta edu
History
2023-02-07: approved
2023-02-05: received
See all versions
Short URL
https://ia.cr/2023/133
License
Creative Commons Attribution-NonCommercial
CC BY-NC

BibTeX

@misc{cryptoeprint:2023/133,
      author = {Shantanu Sharma and Yin Li and Sharad Mehrotra and Nisha Panwar and Dhrubajyoti Ghosh and Peeyush Gupta},
      title = {Prism: Private Set Intersection and Union with Aggregation over Multi-Owner Outsourced Data},
      howpublished = {Cryptology {ePrint} Archive, Paper 2023/133},
      year = {2023},
      url = {https://eprint.iacr.org/2023/133}
}
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