Enhanced privacy preserving K-anonymity model：（α，L）-diversity K-anonymity

doi:10.3778/j.issn.1002-8331.2010.21.042

Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (21): 148-151.DOI: 10.3778/j.issn.1002-8331.2010.21.042

• 数据库、信号与信息处理 • Previous Articles Next Articles

Enhanced privacy preserving K-anonymity model：（α，L）-diversity K-anonymity

KAN Ying-ying¹，CAO Tian-jie^1，2

1.Computers Science and Technology Department，China University of Mining and Technology，Xuzhou，Jiangsu 221116，China
2.National Mobile Communications Research Laboratory，Southeast University，Nanjing 210096，China

Received:2009-01-07 Revised:2009-03-16 Online:2010-07-21 Published:2010-07-21
Contact: KAN Ying-ying

一种增强的隐私保护K-匿名模型——（α，L）多样化K-匿名

阚莹莹¹，曹天杰^1，2

1.中国矿业大学计算机学院，江苏徐州 221116
2.东南大学移动通信国家重点实验室，南京 210096

通讯作者: 阚莹莹

Abstract

Abstract: K-anonymity is a popular model used in microdata publishing to protect individual privacy.This paper finds that there are privacy disclosure problems on the current K-anonymity models.A new K-anonymity model called（α，L）-diversity K-anonymity is proposed to solve the existing problems.It is also validated by a local-recoding generalization algorithm.

Key words: data publishing, privacy protection, K-anonymity

摘要： K-匿名化是数据发布环境下保护个人隐私的一种有效的方法。指出目前已有的一些K-匿名模型存在隐私泄露问题，给出了一种新的有效的K-匿名模型——（α，L）多样化K-匿名模型解决存在的问题。通过一个局部化泛化算法对新模型的有效性进行实验验证。

关键词: 数据发布, 隐私保护, K-匿名化

CLC Number:

TP309

KAN Ying-ying¹，CAO Tian-jie^1，2. Enhanced privacy preserving K-anonymity model：（α，L）-diversity K-anonymity[J]. Computer Engineering and Applications, 2010, 46(21): 148-151.

阚莹莹¹，曹天杰^1，2. 一种增强的隐私保护K-匿名模型——（α，L）多样化K-匿名[J]. 计算机工程与应用, 2010, 46(21): 148-151.

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Enhanced privacy preserving K-anonymity model：（α，L）-diversity K-anonymity

一种增强的隐私保护K-匿名模型——（α，L）多样化K-匿名

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