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App. Res. of Comp. Accepted Paper
Vol. 42, 2025 No. 11

Privacy-preserving record linkage for low-quality data

Huang Hancheng1,2,3
Ma Yupeng1,3
Zhao Fan1,3
Fang Peng1,2,3
Wang Baoquan1,3
Wang Yi1,3
1. Multilingual Information Technology Research Office of Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, Ürümqi 830011, China
2. University of Chinese Academy of Sciences, Beijing 100049, China
3. Xinjiang Laboratory of Minority Speech & Language Information Processing, Ürümqi 830011, China
DOI: 10.19734/j.issn.1001-3695.2025.04.0110

Abstract

Existing privacy-preserving record linkage (PPRL) methods based on bit-vector encoding primarily focus on character-level differences between records, paying insufficient attention to the prevalent issue of incomplete records in real-world scenarios. To address this problem, we propose a Low-Quality PPRL (LQ-PPRL) method, which employs a dynamic blocking strategy to increase grouping opportunities for incomplete records, thereby improving their correct blocking probability. Additionally, LQ-PPRL adaptively adjusts matching thresholds based on missing data patterns to enhance the likelihood of successful matches for incomplete records. While retaining character-level fuzzy matching capabilities, the method mitigates matching errors caused by incomplete records, thereby improving overall linkage performance on low-quality data. Experimental results demonstrate that, compared to traditional bit-vector encoding PPRL protocols, LQ-PPRL achieves higher recall and F1 scores on low-quality data, validating its superiority in handling privacy-preserving linkage tasks with incomplete records.

Foundation Support

新疆维吾尔自治区"天山英才"项目(2023TSYCCX0046,2023TSYCLJ0022,2024TSYCLJ0039)
新疆维吾尔自治区重点研发计划项目(2023B1026)
新疆维吾尔自治区"天池英才"项目(王保全)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0110
Publish at: Application Research of Computers Accepted Paper, Vol. 42, 2025 No. 11

Publish History

[2025-07-11] Accepted Paper

Cite This Article

黄汉城, 马玉鹏, 赵凡, 等. 面向低质量数据的隐私记录链接方法 [J]. 计算机应用研究, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0110. (Huang Hancheng, Ma Yupeng, Zhao Fan, et al. Privacy-preserving record linkage for low-quality data [J]. Application Research of Computers, 2025, 42 (11). (2025-07-24). https://doi.org/10.19734/j.issn.1001-3695.2025.04.0110. )

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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