Minimal Perfect Hashing-Based Multi-Party Private Set Intersection Protocol for Size-Imbalanced Datasets

Existing oblivious transfer (OT)-based private set intersection (PSI) protocols use cuckoo hashing and assume that participants hold similarly sized sets. In multi-institutional collaboration, set sizes differ, and OT costs follow the largest set although the intersection cannot exceed the smallest one. Cuckoo hashing also requires spare bins, a stash, and rehashing to avoid eviction loops. This study proposes perfect hashing k-out-of-N PSI (PKN-PSI), a multi-party PSI protocol that combines minimal perfect hashing with receiver designation by set size. The participants share their set sizes and designate the smallest set holder as the receiver. The receiver publishes a minimal perfect hash function (MPHF) over its set, and each sender evaluates each element once at a single oblivious pseudorandom function (OPRF) row. The senders mask the results with zero-shares and send them as an oblivious key-value store (OKVS), from which the receiver obtains the intersection. Security is proven by simulation in the semi-honest model with a non-colluding receiver, and the leakage of the published MPHF to each sender is stated explicitly. In experiments with real cryptographic operations, five parties, and a ten-fold size gap, PKN-PSI reduces symmetric key operations by 44.2%, transmitted volume by 82.6%, and the modeled WAN time by 57.2% compared with a cuckoo-hashing baseline. Size imbalance thus becomes a source of efficiency, as in multi-institutional medical record linkage.

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Publication Details

Journal
Applied Sciences
Published
2026-11-01
DOI
https://doi.org/10.3390/app162110826
Primary Topic
Cryptography and Data Security
Type
article
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article

Minimal Perfect Hashing-Based Multi-Party Private Set Intersection Protocol for Size-Imbalanced Datasets

Jiyeon Lee
Applied Sciences
Cryptography and Data Security
article

Minimal Perfect Hashing-Based Multi-Party Private Set Intersection Protocol for Size-Imbalanced Datasets

Jiyeon Lee
article en

Abstract

Existing oblivious transfer (OT)-based private set intersection (PSI) protocols use cuckoo hashing and assume that participants hold similarly sized sets. In multi-institutional collaboration, set sizes differ, and OT costs follow the largest set although the intersection cannot exceed the smallest one. Cuckoo hashing also requires spare bins, a stash, and rehashing to avoid eviction loops. This study proposes perfect hashing k-out-of-N PSI (PKN-PSI), a multi-party PSI protocol that combines minimal perfect hashing with receiver designation by set size. The participants share their set sizes and designate the smallest set holder as the receiver. The receiver publishes a minimal perfect hash function (MPHF) over its set, and each sender evaluates each element once at a single oblivious pseudorandom function (OPRF) row. The senders mask the results with zero-shares and send them as an oblivious key-value store (OKVS), from which the receiver obtains the intersection. Security is proven by simulation in the semi-honest model with a non-colluding receiver, and the leakage of the published MPHF to each sender is stated explicitly. In experiments with real cryptographic operations, five parties, and a ten-fold size gap, PKN-PSI reduces symmetric key operations by 44.2%, transmitted volume by 82.6%, and the modeled WAN time by 57.2% compared with a cuckoo-hashing baseline. Size imbalance thus becomes a source of efficiency, as in multi-institutional medical record linkage.

Applied SciencesVol. 16(21)
Halla University (KR)
Openalex Percentile: Top 13%
Cryptography and Data Security
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Minimal Perfect Hashing-Based Multi-Party Private Set Intersection Protocol for Size-Imbalanced Datasets — Jiyeon Lee · Applied Sciences (2026) | TGRS Research Map | TGRS