Hiding Sensitive Association Rules to Maintain Privacy and Data Quality in Database

被引：0

作者：

Domadiya, Nikunj H. ^{[1
]}

Rao, Udai Pratap ^{[1
]}

机构：

[1] Sardar Vallabhbhai Natl Inst Technol, Comp Sci & Engn Dept, Surat, India

来源：

PROCEEDINGS OF THE 2013 3RD IEEE INTERNATIONAL ADVANCE COMPUTING CONFERENCE (IACC) | 2013年

关键词：

Association rule; Sensitive pattern; Privacy preserving data mining (PPDM); Sensitivity;

D O I：

暂无

中图分类号：

TP301 [理论、方法];

学科分类号：

081202 ;

摘要：

In this paper, we propose a heuristic based algorithm named MDSRRC (Modified Decrease Support of R.H.S. item of Rule Clusters) to hide the sensitive association rules with multiple items in consequent (R.H.S) and antecedent (L.H.S). This algorithm overcomes the limitation of existing rule hiding algorithm DSRRC. Proposed algorithm selects the items and transactions based on certain criteria which modify transactions to hide the sensitive information. Experimental result shows that proposed algorithm is highly efficient and maintains database quality.

引用

页码：1306 / 1310

页数：5

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