期刊文献+
任意字段
题名或关键词
题名
关键词
文摘
作者
第一作者
机构
刊名
分类号
参考文献
作者简介
基金资助
栏目信息

关联规则隐藏算法的研究 被引量：3

Research of Association Rule Hiding Algorithm
在线阅读 下载PDF
导出
摘要 数据挖掘能从不同角度、不同抽象层上看待数据,这将潜在地影响数据的私有性和安全性。着重介绍了关联规则数据挖掘中的规则隐藏算法,提出了一个改进的关联规则隐藏算法OSA,该算法综合采用项的添加和约束方法来降低关联规则的支持度和置信度,从而达到规则隐藏的目的。 Data mining may pose a threat to privacy and data security since from non-sensitive data one is able to infer sensitive information, including personal information, facts or even patterns that are not supposed to be disclosed. With the increasing popular use of the World Wide Web and recent advances in data mining techniques and machine learning, there has been much interest recently on privacy preservation in data mining and issues related to data mining and security have been recognized and investigated. This paper first introduces the development of the privacy preservation and the principle of association rule and its realization by general algorithms, then proposes some improvements of the algorithm. Some experiments show these improvements proposed in this paper can realize the association rule hiding algorithm efficiently and quickly.
作者 丁小刚 黄伟伟 柏文阳
机构地区 南京大学计算机科学与技术系计算机软件新技术国家重点实验室
出处 《计算机应用研究》 CSCD 北大核心 2006年第6期28-30,共3页 Application Research of Computers
基金 国家"863"计划资助项目(2002AA141091)
关键词 数据挖掘 关联规则挖掘 频繁项集 敏感规则隐藏 Data Mining Association Rule Mining Frequent hemset Sensitive Rule Hiding
分类号 TP301.6 [自动化与计算机技术—计算机系统结构]
  • 相关文献

参考文献11

  • 1D E O'Leary.Knowledge Discovery as a Threat to Database Security[C].Proc.of the 1st Int'l Conf.Knowledge Discovery and Databa-ses,1991.107-516.
  • 2C Clifton,D Marks.Security and Privacy Implications of Data Mining[C].Proc.of ACM Workshop Data Mining and Knowledge Discove-ry,1996.
  • 3M Atallah,E Bertino,A Elmagarmid,et al.Disclosure Limitation of Sensitive Rules[C].Chicago:Proc.of IEEE Knowledge and Data Engineering Workshop,1999.45-52.
  • 4A Evfimievski,R Srikant,R Agrawal,et al.Privacy Preserving Mi-ning of Association Rules[C].Edmonton:Proc.of the 8th ACM SIGKDD Int.Conf.on Knowlegde Discovery and Data Mining,2002.217-228.
  • 5S R M Oliveira,O R Zaane.Privacy Preserving Frequent Itemset Mining[C].Maebashi City:Proc.of the IEEE ICDM Workshop on Privacy,Security,and Data Mining,2002.43-54.
  • 6S R M Oliveira,O R Zaane.Protecting Sensitive Knowledge by Data Sanitization[C].Melbourne:Proc.of the 3rd IEEE International Conference on Data Mining (ICDM'03),2003.613-616.
  • 7Oliveira S R M,Zaane O R,Saygin Y.Secure Association Rule Sharing[A].Dai H,Srikant R,Zhang Cs.Advances in Know-ledge Discovery and Data Mining[C].Sydney:The 8th Pacific-Asia Confe-rence,Proceedings,volume 3056 of Lecture Notes in Artificial Intelligence,2004.74-85.
  • 8Vassilios S Verykios,Ahmed K Elmagarmid,Elisa Bertino,et al.Association Rule Hiding[J].IEEE Transactions on Knowledge and Data Engineering,2004,16(4).
  • 9E Dasseni,V S Verykios,A K Elmagarmid,et al.Hiding Association Rules by Using Confidence and Support[C].Pittsburgh:Proc.of the 4th Information Hiding Workshop,2001.369-383.
  • 10Y Saygin,V S Verykios,C Clifton.Using Unknowns to Prevent Discovery of Association Rules[J].SIGMOD Record,2001,30(4):45-54.

同被引文献7

引证文献3

计算机应用研究
2006年 第6期

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部