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InfoResearchPeer-reviewed
Efficient Privacy-Preserving User Tracking From Threshold Multi-Party Private Set Intersection
- Published
- Record updated
Summary
Researchers present an efficient threshold multi-party private set intersection (T-MPSI) protocol for privacy-preserving user tracking across distributed IoT location datasets. Their approach combines a batch replicated secret sharing private membership test with a one-round secure aggregation algorithm, and is built for the designated k-collusion model. In LAN experiments, the protocol achieves at least a 6x speedup for secure query and a 3x speedup for secure comparison over the state-of-the-art protocol.