PRISM: Private Verifiable Set Computation over Multi-Owner Outsourced Databases
Yin Li, Dhrubajyoti Ghosh, Peeyush Gupta, Sharad Mehrotra, Nisha Panwar, Shantanu Sharma
摘要
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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引用它的顶会 Paper2
- A Framework for Privacy Preserving Localized Graph Pattern Query ProcessingLyu Xu, Byron Choi, Yun Peng, Jianliang Xu 等SIGMOD 2023 · 被引用 6 次
- FreqyWM: Frequency Watermarking for the New Data EconomyDevris Isler, Elisa Cabana, Álvaro García-Recuero, Georgia Koutrika 等ICDE 2024 · 被引用 2 次
它引用的顶会 Paper4
- High-Throughput Semi-Honest Secure Three-Party Computation with an Honest MajorityToshinori Araki, Jun Furukawa, Yehuda Lindell, Ariel Nof 等CCS 2016 · 被引用 463 次
- Fast Private Set Intersection from Homomorphic EncryptionHao Chen, Kim Laine, Peter RindalCCS 2017 · 被引用 446 次
- Practical Multi-party Private Set Intersection from Symmetric-Key TechniquesVladimir Kolesnikov, Naor Matania, Benny Pinkas, Mike Rosulek 等CCS 2017 · 被引用 247 次
- Two-party Private Set Intersection with an Untrusted Third PartyPhi Hung Le, Samuel Ranellucci, S. Dov GordonCCS 2019 · 被引用 42 次
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