In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) has been redirecting to new domain since Jan. 1st, 2025.
See More
Technology of Information Security
|
App. Res. of Comp. Printed Article
Vol. 42, 2025 No. 11
3454-3460

Privacy-preserving record linkage for low-quality data

Huang Hancheng1a,1b,2
Ma Yupeng1a,1b,2
Zhao Fan1a,1b,2
Fang Peng1a,1b,2
Wang Baoquan1a,1b
Wang Yi1a,1b,2
1. a. Multilingual Information Technology Research Office, b. Xinjiang Laboratory of Minority Speech & Language Information Processing, Xinjiang Technical Institute of Physics & Chemistry, Chinese Academy of Sciences, rümqi 830011, China
2. University of Chinese Academy of Sciences, Beijing 100049, 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, this paper proposed a low-quality PPRL(LQ-PPRL) method, it employed a dynamic blocking strategy to increase grouping opportunities for incomplete records, thereby improving their correct blocking probability. Additionally, LQ-PPRL adaptively adjusted 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 mitigated 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”资助项目(2023TSYCCX0046,2023TSYCLJ0022,2024TSYCLJ0039)
新疆维吾尔自治区重点研发计划资助项目(2023B1026)
新疆维吾尔自治区“天池英才”资助项目

Publish Information

DOI: 10.19734/j.issn.1001-3695.2025.04.0110
Publish at: Application Research of Computers Printed Article, Vol. 42, 2025 No. 11
Section: Technology of Information Security
Pages: 3454-3460
Serial Number: 1001-3695(2025)11-031-3454-07

Publish History

[2025-07-11] Accepted Paper
[2025-11-05] Printed Article

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): 3454-3460. (Huang Hancheng, Ma Yupeng, Zhao Fan, et al. Privacy-preserving record linkage for low-quality data [J]. Application Research of Computers, 2025, 42 (11): 3454-3460. )

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.

Indexed & Evaluation

  • The Second National Periodical Award 100 Key Journals
  • Double Effect Journal of China Journal Formation
  • the Core Journal of China (Peking University 2023 Edition)
  • the Core Journal for Science
  • Chinese Science Citation Database (CSCD) Source Journals
  • RCCSE Chinese Core Academic Journals
  • Journal of China Computer Federation
  • 2020-2022 The World Journal Clout Index (WJCI) Report of Scientific and Technological Periodicals
  • Full-text Source Journal of China Science and Technology Periodicals Database
  • Source Journal of China Academic Journals Comprehensive Evaluation Database
  • Source Journals of China Academic Journals (CD-ROM Version), China Journal Network
  • 2017-2019 China Outstanding Academic Journals with International Influence (Natural Science and Engineering Technology)
  • Source Journal of Top Academic Papers (F5000) Program of China's Excellent Science and Technology Journals
  • Source Journal of China Engineering Technology Electronic Information Network and Electronic Technology Literature Database
  • Source Journal of British Science Digest (INSPEC)
  • Japan Science and Technology Agency (JST) Source Journal
  • Russian Journal of Abstracts (AJ, VINITI) Source Journals
  • Full-text Journal of EBSCO, USA
  • Cambridge Scientific Abstracts (Natural Sciences) (CSA(NS)) core journals
  • Poland Copernicus Index (IC)
  • Ulrichsweb (USA)