Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 7
1952-1957,1963

Histogram publishing algorithm based on adaptive privacy budget allocation strategy under differential privacy

Tang Haixia1,2
Yang Geng1,2
Bai Yunlu1,3
1. College of Computer Science, Nanjing University of Posts & Telecommunications, Nanjing 210046, China
2. Jiangsu Key Laboratory of Big Data Security & Intelligent Processing, Nanjing 210023, China
3. College of Information Technology, Nanjing University of Chinese Medicine, Nanjing 210003, China
DOI: 10.19734/j.issn.1001-3695.2018.11.0925

Abstract

In differential privacy histogram publication the privacy budget involves the intensity of noise adding, which has a direct impact on the availability of data publication. Therefore, how to allocate and optimize the privacy budget is a challenge to the histogram publishing algorithm. This paper proposed a histogram publishing algorithm based on adaptive privacy budget allocation strategy, called APB. In order to balance the noise error and reconstruction error efficiently and get the relationship between the privacy budget allocation weight and the group size and number of group, APB established an optimization model of privacy budget allocation weight by analyzing the noise introduced before and after the grouping step. In order to boost the accuracy of the released histogram, this paper employed optimization model and greedy grouping to propose an adaptive privacy budget allocation strategy. Experimental results show that the proposed method of histogram publication based on adaptive privacy budget allocation strategy is more available than similar algorithms.

Foundation Support

国家自然科学基金资助项目(61572263,61602263,61502251)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.11.0925
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 7
Section: Algorithm Research & Explore
Pages: 1952-1957,1963
Serial Number: 1001-3695(2020)07-007-1952-06

Publish History

[2020-07-05] Printed Article

Cite This Article

唐海霞, 杨庚, 白云璐. 自适应差分隐私预算分配策略的直方图发布算法 [J]. 计算机应用研究, 2020, 37 (7): 1952-1957,1963. (Tang Haixia, Yang Geng, Bai Yunlu. Histogram publishing algorithm based on adaptive privacy budget allocation strategy under differential privacy [J]. Application Research of Computers, 2020, 37 (7): 1952-1957,1963. )

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  • 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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