Netinfo Security ›› 2025, Vol. 25 ›› Issue (12): 1975-1989.doi: 10.3969/j.issn.1671-1122.2025.12.012

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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

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

CLC Number: