Paper 2023/133
Prism: Private Set Intersection and Union with Aggregation over Multi-Owner Outsourced Data
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)
- 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
-
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} }