Efficient Multi-party Private Set Intersection with Constant Communication Rounds

Zehui Lv, Jiachen Shen, Zhenfu Cao*, Xiaolei Dong

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper introduces a novel multi-party private set intersection (MPSI) protocol, enabling multiple parties to collaboratively compute the intersection of their input sets while ensuring no private information is disclosed. Our protocol mainly leverages efficient oblivious key-value store (OKVS) technique and symmetric-key operations, requiring only 3 rounds of interaction. We implement our protocol using various set sizes and numbers of parties, and the experimental results demonstrate that it surpasses the performance of existing state-of-the-art protocols.

Original languageEnglish
Title of host publicationProceedings of 2024 2nd International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2024
PublisherAssociation for Computing Machinery, Inc
Pages138-142
Number of pages5
ISBN (Electronic)9798400711237
DOIs
StatePublished - 6 Mar 2025
Event2nd International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2024 - Mianyang, China
Duration: 20 Dec 202422 Dec 2024

Publication series

NameProceedings of 2024 2nd International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2024

Conference

Conference2nd International Conference on Artificial Intelligence, Systems and Network Security, AISNS 2024
Country/TerritoryChina
CityMianyang
Period20/12/2422/12/24

Keywords

  • Oblivious Key-Value Store
  • Private Set Intersection
  • Secure Multi Party Computation
  • Zero Sharing

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