Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 38, 2021 No. 7
2085-2090

Efficient histogram method in data streams over sliding windows

Mo Lei1,2
Wang Xiujun1,2
Zheng Xiao1,2
Wu Xuangou1,2
Tai Weipeng1
Zhao Wei1,2
1. College of Computer Science & Technology, Anhui University of Technology, Anhui Ma'anshan 243032, China
2. Anhui Industrial Internet Intelligent Application & Security Engineering Laboratory, Anhui Ma'anshan 243032, China
DOI: 10.19734/j.issn.1001-3695.2020.07.0217

Abstract

Differential privacy is widely used as a privacy protection mechanism. Although there are many methods for publishing histograms on static data sets, there are fewer methods for publishing histograms based on sliding windows in a data stream environment, and they face the problem of high publishing errors of histograms. For this problem, this paper proposed a data stream differential privacy histogram publishing algorithm suitable for sliding window model HPA-SW. The algorithm first divided a sliding window into k sub-blocks based on the idea of data partitioning, and used this parameter to control and adjusted the statistical error of the data histogram. Then, the algorithm compared the data distribution of two adjacent histograms to optimize the privacy budget allocation of the current window, so as to quickly calculate the local optimal histogram. In order to verify the effectiveness of the proposed algorithm, this paper firstly proved through rigorous theoretical derivation that the designed algorithm met the requirements of differential privacy, and its approximation error did not exceed W/2k. Secondly, through experimental comparison on real data sets, it shows that the publishing error of the proposed algorithm is low, which 50% lower than SSHP algorithm.

Foundation Support

国家自然科学基金资助项目(61402008,61702006,61672038)
安徽省重点研究与开发计划面上攻关项目(201904a05020071)
安徽省自然科学项目(1408085QF128)
电子信息与控制福建省高校工程研究中心开放基金项目(MJXY-KF-EIC1803)
安徽普通高校重点实验室开放基金项目(CS2020-06)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2020.07.0217
Publish at: Application Research of Computers Printed Article, Vol. 38, 2021 No. 7
Section: Algorithm Research & Explore
Pages: 2085-2090
Serial Number: 1001-3695(2021)07-031-2085-06

Publish History

[2021-07-05] Printed Article

Cite This Article

莫磊, 王修君, 郑啸, 等. 有效的基于滑动窗口数据流直方图方法 [J]. 计算机应用研究, 2021, 38 (7): 2085-2090. (Mo Lei, Wang Xiujun, Zheng Xiao, et al. Efficient histogram method in data streams over sliding windows [J]. Application Research of Computers, 2021, 38 (7): 2085-2090. )

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.

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