Technology of Network & Communication
|
515-518

Differential privacy protection method for mixed data

Ding Yongshan
Li Lixin
The 3th College, Information Engineering University, Zhengzhou 450000, China

Abstract

To enhance privacy protection and improve data availability, this paper proposed a differential privacy data protection method ICMD-DP for mixed data. ICMD-DP performed differential privacy on the results of ICMD(insensitive clustering method for mixed data). To satisfy the requirement of maintaining differential privacy, ICMD used different methods to calculate the distance and centroid of categorical and numerical attributes and introduced the total order function. The combination of clustering and differential privacy realizes the differentiation of query sensitivity from single record to group record. At the meanwhile, it reduced the risk of information loss and information disclosure. Finally, this paper gave experiments to illustrate the effectiveness of the method.

Foundation Support

国家重点研发计划项目(2016YFB0501900)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0729
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Technology of Network & Communication
Pages: 515-518
Serial Number: 1001-3695(2019)02-043-0515-04

Publish History

[2019-02-05] Printed Article

Cite This Article

丁永善, 李立新. 对混合属性数据表可行的差分隐私保护方法 [J]. 计算机应用研究, 2019, 36 (2): 515-518. (Ding Yongshan, Li Lixin. Differential privacy protection method for mixed data [J]. Application Research of Computers, 2019, 36 (2): 515-518. )

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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