Authenticated Multi-Party Quantum Private Set Intersection with Single Particles

As an important branch of secure multi-party computation, privacy set intersection enables multiple parties to input their private sets and jointly compute the intersection of these sets without revealing any information other than the intersection itself. With the increasing demand for privacy protection of user data, privacy set intersection has been widely used in privacy computing and other fields. In this paper, we utilize the properties of mutually unbiased bases to propose a multi-party quantum private set intersection protocol that incorporates identity authentication mechanisms. A semi-honest third party (TP) is introduced to facilitate the secure execution of this task among the multiple participating parties. The TP establishes a shared master key with each party, which serves as the basis for authenticating the identity of each participant throughout the protocol. Single-particle quantum states, prepared by the TP, act as the information carriers and are sequentially transmitted among the participating parties. Each party performs a local unitary operation on the circulating particle, thereby encoding their private data within the quantum state. At the end of the protocol, the TP announces his measurement result, by which all participants can concurrently ascertain the intersection of their private data sets. Notably, the proposed protocol eliminates the need for long-term storage of single-particle quantum states, thereby rendering it feasible with existing quantum technological capabilities. Furthermore, a comprehensive security analysis demonstrates that the protocol effectively resists some common external and internal attacks, thereby ensuring its theoretical security.

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Institutions

Publication Details

Journal
Mathematics
Published
2025-06-18
DOI
https://doi.org/10.3390/math13122019
Citations
2
Primary Topic
Quantum Information and Cryptography
Type
article
Field-Weighted Citation Impact
4.96

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article

Authenticated Multi-Party Quantum Private Set Intersection with Single Particles

Song Lin, Li Zheng, Gongde Guo, Kai Yu
2 citations
Mathematics
Quantum Information and Cryptography
4.96
article

Authenticated Multi-Party Quantum Private Set Intersection with Single Particles

Song Lin, Li Zheng, Gongde Guo, Kai Yu
article en
2 citations

Abstract

As an important branch of secure multi-party computation, privacy set intersection enables multiple parties to input their private sets and jointly compute the intersection of these sets without revealing any information other than the intersection itself. With the increasing demand for privacy protection of user data, privacy set intersection has been widely used in privacy computing and other fields. In this paper, we utilize the properties of mutually unbiased bases to propose a multi-party quantum private set intersection protocol that incorporates identity authentication mechanisms. A semi-honest third party (TP) is introduced to facilitate the secure execution of this task among the multiple participating parties. The TP establishes a shared master key with each party, which serves as the basis for authenticating the identity of each participant throughout the protocol. Single-particle quantum states, prepared by the TP, act as the information carriers and are sequentially transmitted among the participating parties. Each party performs a local unitary operation on the circulating particle, thereby encoding their private data within the quantum state. At the end of the protocol, the TP announces his measurement result, by which all participants can concurrently ascertain the intersection of their private data sets. Notably, the proposed protocol eliminates the need for long-term storage of single-particle quantum states, thereby rendering it feasible with existing quantum technological capabilities. Furthermore, a comprehensive security analysis demonstrates that the protocol effectively resists some common external and internal attacks, thereby ensuring its theoretical security.

MathematicsVol. 13(12)
Fujian Normal University (CN), Fujian Institute of Education (CN), Xiamen University of Technology (CN)
National Natural Science Foundation of China
Peace, Justice and strong institutions
Openalex Percentile: Top 5%
Quantum Information and Cryptography
4.96
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