计算机科学 ›› 2009, Vol. 36 ›› Issue (9): 201-204.

• 人工智能 • 上一篇    下一篇

一种基于时态约束的关联规则隐私保护方法

李军怀,刘海玲,彭军,张憬,陈晓明   

  1. (西安理工大学计算机科学与工程学院 西安 710048);(重庆科技学院电子信息工程学院 重庆 400050)
  • 出版日期:2018-11-16 发布日期:2018-11-16
  • 基金资助:
    本文受国家863重点项目(编号:2007AA010305和2007AA010402),陕西省教育厅科技计划项目(编号:07JK333),西安市科技计划项目(编号:GX07026)资助。

Method of Association Rule Privacy Protection Based on Temporal Constraint

LI Jun-huai,LIU Hai-ling,PING Jun,ZHANG Jing,CHEN Xiao-ming   

  • Online:2018-11-16 Published:2018-11-16

摘要: 时间性是现实世界数据库本身固有的因素,更是构成隐私数据的基本属性,把它作为约束条件,就可以研究更为真实的现实情况。基于隐私保护和数据安全的考虑,现将数据的时态特性与不同粒度数据的安全级相结合,提出了数据安全级的时效性概念,然后对不同的项目或事务对应的安全级采用不同等级进行属性分层及数据的隐私保护处理,并提出了时态约束下的关联规则隐私保护算法。最后通过实验对算法的信息损失度和效能进行了分析和验证。

关键词: 隐私保护,时态约束,数据挖掘,概化,数据安全级

Abstract: Time is an inherent property of data in the real world and also is an important basic characteristic of privacy data. We can delve into the problem about data privacy protection if we take time property as a constraint condition. On the consideration about privacy protection and data security, we combined the data temporal property with security level of the different data granularity and then proposed the conception of time effectiveness about data security. Further- more, we applied the different level to generalize the different items or transactions in order to protect data privacy, and presented the algorithm of association rule privacy protection based on temporal constraint. Finally, we analyzed and evaluated the method performance,which include information loss and algorithm effectiveness.

Key words: Privacy preserving,Temporal constraints, Generalization, Data confidential level

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