Prism: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
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Abstract (arXiv)
This paper proposes Prism, 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.
Key facts. Cited by 3 papers in the map (data through 7 Oct 2026). Builds on 2 of its 64 references that are in the map. First posted on arXiv 7 Apr 2021.
Builds on
2 of 64 references.
References · 2
- 2019Conclave: secure multi-party computation on big data (extended TR)cited by 7
- 2016SMCQL: Secure Querying for Federated Databasescited by 5
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Citing papers per year: 2023: 1; 2024: 0; 2025: 1; 2026: 1.
3 papers.