PRISM: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma
Abstract
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.
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Cited by top-tier papers2
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- FreqyWM: Frequency Watermarking for the New Data EconomyDevris Isler, Elisa Cabana, Álvaro García-Recuero, Georgia Koutrika et al.ICDE 2024 · 2 citations
Builds on4
- High-Throughput Semi-Honest Secure Three-Party Computation with an Honest MajorityToshinori Araki, Jun Furukawa, Yehuda Lindell, Ariel Nof et al.CCS 2016 · 463 citations
- Fast Private Set Intersection from Homomorphic EncryptionHao Chen, Kim Laine, Peter RindalCCS 2017 · 446 citations
- Practical Multi-party Private Set Intersection from Symmetric-Key TechniquesVladimir Kolesnikov, Naor Matania, Benny Pinkas, Mike Rosulek et al.CCS 2017 · 247 citations
- Two-party Private Set Intersection with an Untrusted Third PartyPhi Hung Le, Samuel Ranellucci, S. Dov GordonCCS 2019 · 42 citations
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