Two-Party Threshold Private Set Intersection Protocols from Lightweight Cryptographic Primitives

Private Set Intersection (PSI) is a significant application of interest within Secure Multi-party Computation (MPC), even though we are still in the early stages of deploying MPC solutions to real-world problems. Threshold PSI (tPSI), a variant of PSI, allows two parties to determine the intersection of their respective sets only if the cardinality of the intersection is at least (or less than) a specified threshold t. In this paper, we propose a generic construction for two-party tPSI that extensively utilizes Oblivious Transfer (OT). Our approach is based on lightweight primitives and avoids costly public-key systems such as homomorphic encryption. We start by introducing the secret-sharing private membership test PMTss that is based on the secret-sharing private equality test PEQTss. The PMTss enables tPSI to be scaled for a wide range of practical applications, particularly benefiting parties with limited computational resources. Consequently, two distinct two-party tPSI protocols can be efficiently implemented: over-threshold PSI (t≤PSI) and under-threshold PSI t>PSI. In addition, we propose a lightweight two-party tPSI with limited leakage and a generic precomputing OT suitable for phased implementation. Experimental performance demonstrates that our protocols are highly efficient and computationally friendly, thus paving the way for broader deployment of tPSI solutions.

Authors

Institutions

Publication Details

Journal
Cryptography
Published
2024-12-22
DOI
https://doi.org/10.3390/cryptography8040058
Citations
1
Primary Topic
Cryptography and Data Security
Type
article
Field-Weighted Citation Impact
0.35

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Two-Party Threshold Private Set Intersection Protocols from Lightweight Cryptographic Primitives

Xiangfu Song, Shengnan Zhao, Chuan Zhao, Qiuliang Xu et al.
1 citations
Cryptography
Cryptography and Data Security
0.35
article

Two-Party Threshold Private Set Intersection Protocols from Lightweight Cryptographic Primitives

Xiangfu Song, Shengnan Zhao, Chuan Zhao, Qiuliang Xu, Yali Huang
article en
1 citations

Abstract

Private Set Intersection (PSI) is a significant application of interest within Secure Multi-party Computation (MPC), even though we are still in the early stages of deploying MPC solutions to real-world problems. Threshold PSI (tPSI), a variant of PSI, allows two parties to determine the intersection of their respective sets only if the cardinality of the intersection is at least (or less than) a specified threshold t. In this paper, we propose a generic construction for two-party tPSI that extensively utilizes Oblivious Transfer (OT). Our approach is based on lightweight primitives and avoids costly public-key systems such as homomorphic encryption. We start by introducing the secret-sharing private membership test PMTss that is based on the secret-sharing private equality test PEQTss. The PMTss enables tPSI to be scaled for a wide range of practical applications, particularly benefiting parties with limited computational resources. Consequently, two distinct two-party tPSI protocols can be efficiently implemented: over-threshold PSI (t≤PSI) and under-threshold PSI t>PSI. In addition, we propose a lightweight two-party tPSI with limited leakage and a generic precomputing OT suitable for phased implementation. Experimental performance demonstrates that our protocols are highly efficient and computationally friendly, thus paving the way for broader deployment of tPSI solutions.

CryptographyVol. 8(4)
Shandong University (CN), Nanyang Technological University (SG), Peng Cheng Laboratory (CN), Henan Normal University (CN)
Department of Science and Technology of Shandong Province, National Natural Science Foundation of China, Natural Science Foundation of Shandong Province
Partnerships for the goals
Openalex Percentile: Top 30%
Cryptography and Data Security
0.35
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.