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App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 12

Multiparty probabilistic threshold private set intersection method against malicious adversaries

Gong Yide
Zhang En
Wang Mengtao
College of Computer & Information Engineering, Henan Normal University, Xinxiang Henan 453007, China
DOI: 10.19734/j.issn.1001-3695.2024.01.0109

Abstract

As a probabilistic variant of threshold private set intersection, probabilistic threshold private set intersection research is more efficient than deterministic threshold private set intersection protocol in fingerprint or face recognition, federated learning and other fields. However, the existing probabilistic threshold private set intersection protocols lack of research on multi-party probabilistic threshold private set intersection protocols under the malicious model. To address this problem, this paper proposes two multi-party probabilistic threshold private set intersection protocols that are secure under the malicious model. The first multi-party probabilistic threshold private set intersection protocol can resist any malicious adversary when there is no collusion among the participants, and it is efficiently implemented by using symmetric key primitives. In the setting of eight parties, the set size is 220, the threshold value is 0.5n, and the time cost of the protocol is about 24.59 seconds. In addition, on the basis of the first protocol, a collusion-resistant version of the protocol was designed by combining the zero-sharing scheme and the obliviously programmable pseudo-random function. That is, when the two designated parties do not participate in collusion at the same time, the protocol can resist the collusion attack of any subset of participants. Under the same experimental setting, when the number of colluding parties is N/2, the time cost of the protocol is about 40.00 seconds. Compared with the existing schemes, the proposed protocol has more application scenarios and better efficiency.

Foundation Support

国家自然科学基金资助项目(62072159,62002103,6207608)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.01.0109
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 12

Publish History

[2024-09-02] Accepted Paper

Cite This Article

巩一德, 张恩, 王梦涛. 抗恶意敌手的多方概率门限隐私集合交集方法 [J]. 计算机应用研究, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0109. (Gong Yide, Zhang En, Wang Mengtao. Multiparty probabilistic threshold private set intersection method against malicious adversaries [J]. Application Research of Computers, 2024, 41 (12). (2024-09-11). https://doi.org/10.19734/j.issn.1001-3695.2024.01.0109. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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