In accordance with regulations and requirements, the editorial department's website domain has been changed to arocmag.cn. The original domain (arocmag.com) will be discontinued after Dec. 31st, 2024.
Technology of Information Security
|
1465-1469,1473

Privacy and data utility metric model for structured data

Xie Mingminga,b
Peng Changgenb,c
Wu Ruixuec,d
Ding Hongfaa,b
Liu Botaob,c
a. College of Mathematics & Statistics, b. Guizhou Province Key Laboratory of Public Big Data, c. College of Computer Science & Technology, d. Institute of Cryptography & Data Security, Guizhou University, Guiyang 550025, China

Abstract

Aiming at the quantification of data privacy and data utility in privacy protection, based on the basic principles of metric space and norm, this paper proposed a privacy and data utility metric model. First, it gave the data numerical processing method. And converted the data into a matrix for calculation. Secondly, it introduced a privacy preference function to measure the change of sensitive attributes over time. Then, it analyzed the privacy protection model and quantified the data changes generated by the privacy protection technology. Finally, this paper built a metric space, and gave privacy amount, data utility and privacy protection calculations. Simulation experiments show that the established metric model can effectively reflect the amount of private information.

Foundation Support

国家自然科学基金资助项目(61662009,61772008)
国家“十三五”密码发展基金资助项目(MMJJ20170129)
贵州省科技计划资助项目(黔科合基础[2016]2315,黔科合基础[2017]1045,黔科合重大专项字[2017]3002,黔科合重大专项字[2018]3001)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.10.0833
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 5
Section: Technology of Information Security
Pages: 1465-1469,1473
Serial Number: 1001-3695(2020)05-036-1465-05

Publish History

[2020-05-05] Printed Article

Cite This Article

谢明明, 彭长根, 吴睿雪, 等. 结构化数据的隐私与数据效用度量模型 [J]. 计算机应用研究, 2020, 37 (5): 1465-1469,1473. (Xie Mingming, Peng Changgen, Wu Ruixue, et al. Privacy and data utility metric model for structured data [J]. Application Research of Computers, 2020, 37 (5): 1465-1469,1473. )

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)