信息网络安全 ›› 2025, Vol. 25 ›› Issue (12): 1975-1989.doi: 10.3969/j.issn.1671-1122.2025.12.012

• 技术研究 • 上一篇    下一篇

基于Paillier同态加密的隐私保护排序方案

王后珍1,2(), 江皓朗1, 刘继辰1, 涂航1   

  1. 1.武汉大学国家网络安全学院,武汉 430072
    2.先进密码技术与系统安全四川省重点实验室,成都 610054
  • 收稿日期:2025-01-24 出版日期:2025-12-10 发布日期:2026-01-06
  • 通讯作者: 王后珍 E-mail:whz@whu.edu.cn
  • 作者简介:王后珍(1981—),男,湖北,副教授,博士,CCF会员,主要研究方向为公钥密码学、抗量子密码|江皓朗(2000—),男,安徽,硕士研究生,主要研究方向为公钥密码学|刘继辰(2000—),男,山东,硕士研究生,主要研究方向为公钥密码学|涂航(1975—),男,湖北,副教授,博士,CCF会员,主要研究方向为物联网安全、嵌入式系统安全、密码学
  • 基金资助:
    国家自然科学基金(62272348);国家自然科学基金(62272385);国家自然科学基金(62272389);国家自然科学基金(U19B2021);国家自然科学基金(U20B2064);国家重点研发计划(2022YFB4500800);先进密码技术与系统安全四川省重点实验室开放课题(SKLACSS-202203);中央高校基本科研业务费专项资金(2042022kf002);湖北省重点研发计划(2022BAA041)

Privacy-Preserving Sorting Scheme Based on Paillier Homomorphic Encryption

WANG Houzhen1,2(), JIANG Haolang1, LIU Jichen1, TU Hang1   

  1. 1. School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China
    2. Advanced Cryptography and System Security Key Laboratory of Sichuan Province, Chengdu 610054, China
  • Received:2025-01-24 Online:2025-12-10 Published:2026-01-06
  • Contact: WANG Houzhen E-mail:whz@whu.edu.cn

摘要:

在大数据时代背景下,数据共享已成为释放数据潜力、提升业务价值的关键途径。金融机构通过与通信运营商合作,对用户的通信数据进行联合建模与分析,可提升其在精准营销、欺诈检测及风险管理方面的能力。然而,如何在数据共享过程中保护用户隐私是一个亟待解决的问题。文章提出一种基于Paillier同态加密的隐私保护排序方案,并对其正确性和安全性进行了证明。该方案不仅支持密文下的加权求和运算,还支持高效的密文排序,从而实现了共享数据的可用不可见。与现有方案相比,该方案在密文排序效率方面更具优势,适用于大规模的隐私数据保护排序场景。此外,文章以银行优质客户推荐应用场景为例,通过仿真实验验证了方案的正确性与可用性。

关键词: Paillier加密算法, 同态加密, 密文排序, 隐私保护, 安全多方计算

Abstract:

In the era of big data, data sharing has become a key approach to release the potential of data and enhance business value. Financial institutions can enhance their capabilities in precision marketing, fraud detection, and risk management by collaborating with communication operators to jointly compute users’ communication data. However, how to ensuring privacy protection for users in data sharing remains an urgent challenge that needs to be addressed. This paper proposed a privacy-preserving sorting scheme based on Paillier homomorphic encryption, and rigorously proved its correctness and security. The proposed scheme not only enabled weighted summation operations in ciphertext, but also facilitated efficient sorting in ciphertext to achieve availability and invisibility of shared data. Compared with existing schemes, this method is more efficient in ciphertext comparison and suitable for large-scale privacy data protection sorting. Additionally, the paper uses the application scenario of recommending high-quality bank customers as an example, and verifies the correctness and practicability of the proposed scheme through simulation experiments.

Key words: Paillier encryption algorithm, homomorphic encryption, ciphertext sorting, privacy preservation, secure multi-party computation

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