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Lecture notes in computer science

Linear Complexity Private Set Intersection for Secure Two-Party Protocols

Ferhat Karakoç, Alptekın Küpçü

Published Jan 1, 2020• 21 citations
Publisher
DOI
10.1007/978-3-030-65411-5_20

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Private set intersection (PSI) has important application value, however, current quantum PSI protocols are either unsuitable for multi-party scenarios or inefficient. Recently, Imran (arXiv: 2303.17196v3 , 2023) proposed two quantum secure multi-party greatest common divisor (GCD) protocols that can be used for PSI, but with the downside of information leakage and resource consumption. In this paper, we propose a novel quantum secure multi-party GCD protocol that has higher security and lower complexity. To hide privacy, each party randomly selects a coefficient within a range determined by his input integer, and with the assistance of a semi-honest third party TP, all parties secretly calculate the linear combination of their inputs under these coefficients. Once enough linear combinations are collected, TP calculates the GCD of these combinations, which is equal to the GCD of all input integers. To verify the honesty of participants, a quantum zero-knowledge proof sub-protocol is designed. Analysis shows that our GCD protocol is correct and has security against malicious attacks. Moreover, its complexity is polynomial level and lower than Imran’s. Furthermore, we demonstrate the scalability of our GCD protocol in private set operations, such as private set intersection, private set intersection cardinality, private multi-set intersection, etc.
Abstract In this paper, we propose a two‐way oblivious pseudorandom function (mOPRF) secure in standard model against malicious parties under the decisional composite residuosity and decisional Diffie–Hellman assumptions. Using this two‐way OPRF, we construct an optimistic mutual private set intersection (PSI) protocol conserving fairness. In our PSI protocol, fairness is obtained by a semi‐trusted arbiter in the sense that it cannot get access to the private information of the two parties, but we believe that it will follow the protocol. To the best of our knowledge, our PSI protocol is the first fair PSI with linear communication and computation complexities and is proven to be secure in standard model against malicious adversaries under decisional q‐Diffie–Hellman inversion, decisional composite residuosity, and decisional Diffie–Hellman assumptions. Apart from that, we present a modified version of the OPRF that requires less number of communication rounds. Copyright © 2016 John Wiley & Sons, Ltd.