SoK: Collusion-resistant Multi-party Private Set Intersections in the Semi-honest Model
Jelle Vos, Mauro Conti, Zekeriya Erkin
Abstract
Private set intersection protocols allow two parties with private sets of data to compute the intersection between them without leaking other information about their sets. These protocols have been studied for almost 20 years, and have been significantly improved over time, reducing both their computation and communication costs. However, when more than two parties want to compute a private set intersection, these protocols are no longer applicable. While extensions exist to the multi-party case, these protocols are significantly less efficient than the two-party case. It remains an open question to design collusion-resistant multi-party private set intersection (MPSI) protocols that come close to the efficiency of two-party protocols. This work is made more difficult by the immense variety in the proposed schemes and the lack of systematization. Moreover, each new work only considers a small subset of previously proposed protocols, leaving out important developments from older works. Finally, MPSI protocols rely on many possible constructions and building blocks that have not been summarized. This work aims to point protocol designers to gaps in research and promising directions, pointing out common security flaws and sketching a frame of reference. To this end, we focus on the semi-honest model. We conclude that current MPSI protocols are not a one-size-fits-all solution, and instead there exist many protocols that each prevail in their own application setting.
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Builds on11
- Efficient Batched Oblivious PRF with Applications to Private Set IntersectionVladimir Kolesnikov, Ranjit Kumaresan, Mike Rosulek, Ni TrieuCCS 2016 · 429 citations
- Practical Multi-party Private Set Intersection from Symmetric-Key TechniquesVladimir Kolesnikov, Naor Matania, Benny Pinkas, Mike Rosulek et al.CCS 2017 · 247 citations
- Global-Scale Secure Multiparty ComputationXiao Wang, Samuel Ranellucci, Jonathan KatzCCS 2017 · 220 citations
- PSI from PaXoS: Fast, Malicious Private Set IntersectionBenny Pinkas, Mike Rosulek, Ni Trieu, Avishay YanaiEUROCRYPT 2020 · 198 citations
- Private Set Intersection in the Internet Setting from Lightweight Oblivious PRFMelissa Chase, Peihan MiaoCRYPTO 2020 · 158 citations
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