App. Res. of Comp. Accepted Paper
Vol. 41, 2024 No. 10

Pricing statistical query based on attribute privacy

Fang Jiahao
Guo Bing
College of Computer Science, Sichuan University, Chengdu Sichuan 610065, China
DOI: 10.19734/j.issn.1001-3695.2024.02.0044

Abstract

Current statistical query pricing models have not considered the problem that query results reveal sensitive attributes of datasets, making it difficult to incentivize sharing by compensating data providers accordingly. Therefore, this paper proposes a pricing model based on Attribute Privacy. Firstly, the model calculates query sensitivity based on the Relaxed Approximation Wasserstein Mechanism (RAWM) proposed in this paper, improving efficiency by directly calculate the relaxed upper bound of output distribution pairs. Then, with bounding privacy loss, the model compensates data providers based on query sensitivity, noise variance and compensation parameters. Finally, by using cost-plus pricing on compensation, this paper designs several arbitrage-free pricing functions, which can be used in scenarios such as single compensation costs and multiple marginal costs. The experiment results show that the running time of calculating query sensitivity is reduced from linear complexity to constant complexity, with a utility cost of only 0.52% when data volume is 100 million; The pricing model provides fine-grained compensation to incentivize sharing; Designed pricing functions satisfy arbitrage freeness.

Foundation Support

国家自然科学基金铁路基础研究联合基金(U2268204)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2024.02.0044
Publish at: Application Research of Computers Accepted Paper, Vol. 41, 2024 No. 10

Publish History

[2024-07-04] Accepted Paper

Cite This Article

方嘉豪, 郭兵. 基于属性隐私的统计查询定价模型 [J]. 计算机应用研究, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0044. (Fang Jiahao, Guo Bing. Pricing statistical query based on attribute privacy [J]. Application Research of Computers, 2024, 41 (10). (2024-07-12). https://doi.org/10.19734/j.issn.1001-3695.2024.02.0044. )

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)