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[会议论文]

(K, G)-Anonymity Model Based On Grey Relational Analysis

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author:

Zhang Qishan (Zhang Qishan.) [1] (Scholars:张岐山) | Zheng Qunhua (Zheng Qunhua.) [2] | Lin Zhensi (Lin Zhensi.) [3] | Unfold

Indexed by:

CPCI-S

Abstract:

k-anonymity is an effective method of privacy preserving. However, some traditional k-anonymity models do not capture diversity and dispersibility of sensitive values in each equivalence class, which makes the privacy disclosure of anonymity table occur easily. In this paper, an advanced (k, g)-anonymity model for numerical data is proposed, and a (k, g)-MDAV algorithm is designed to achieve (k, g)-algorithm. Experimental results show that the algorithm can lower the risk of privacy disclosure while maintaining the data availability.

Keyword:

Grey relational analysis k-anonymity (k, g)-anonymity microaggregation

Community:

  • [ 1 ] [Zhang Qishan]Fuzhou Univ, Sch Management, Fuzhou 350002, Peoples R China
  • [ 2 ] [Zheng Qunhua]Fuzhou Univ, Sch Management, Fuzhou 350002, Peoples R China

Reprint 's Address:

  • 张岐山

    [Zhang Qishan]Fuzhou Univ, Sch Management, Fuzhou 350002, Peoples R China

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Related Article:

Source :

PROCEEDINGS OF 2013 IEEE INTERNATIONAL CONFERENCE ON GREY SYSTEMS AND INTELLIGENT SERVICES (GSIS)

Year: 2013

Page: 16-19

Language: English

Cited Count:

WoS CC Cited Count: 82

30 Days PV: 0

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