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抵抗背景知识攻击的电子病历隐私保护新算法

陈炜 陈志刚 邓小鸿 黄伟琦

计算机工程2012,Vol.38Issue(11):251-253,3.
计算机工程2012,Vol.38Issue(11):251-253,3.DOI:10.3969/j.issn.1000-3428.2012.11.076

抵抗背景知识攻击的电子病历隐私保护新算法

Novel Algorithm on Electronic Medical Record Privacy Protection Against Background Knowledge Attack

陈炜 1陈志刚 1邓小鸿 2黄伟琦1

作者信息

  • 1. 中南大学软件学院,长沙410083
  • 2. 江西理工大学应用科学学院,江西赣州341000
  • 折叠

摘要

Abstract

In the regional medical information sharing situation, traditional anonymity privacy protection algorithm performs poor resistance when facing with background knowledge attack. So this paper introduces the anonymous sensitive attribute clustering algorithm. The algorithm uses the links between sensitive attributes to make micro-property clustering, it increases the similarity between the sensitive attributes in the equivalent group while remaining the difference between them. The algorithm can perform better resistance while facing background knowledge attack with improved ability to resistant the leakage risks. Experimental results show that the loss of privacy in the data sheet risk reduced substantially when using the algorithm.

关键词

区域医疗/信息共享/隐私保护/信息聚类/敏感属性/背景知识

Key words

regional medical treatment/ information sharing/ privacy protection/ information clustering/ sensitive attribute/ background knowledge

分类

信息技术与安全科学

引用本文复制引用

陈炜,陈志刚,邓小鸿,黄伟琦..抵抗背景知识攻击的电子病历隐私保护新算法[J].计算机工程,2012,38(11):251-253,3.

基金项目

国家自然科学基金资助项目(61073186) (61073186)

湖南省科技厅基金资助重点项目 ()

中南大学中央高校基本科研业务费专项基金资助项目(2011QNZT023) (2011QNZT023)

计算机工程

OACSCDCSTPCD

1000-3428

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