An Enhanced Approach of Sensitive Information Hiding |
Author(s): |
| kaushal bhatt , JIT Borawan; ankit dongre, JIT Borawan |
Keywords: |
| PPDM, Hybrid algorithm, Sensitive information, Association rules |
Abstract |
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Organizations involving in similar businesses often share their databases to find out useful business logics. The process of finding is called data mining. But serious concern occur when the database, shared by organization contain some sensitive information and organization what to hide this information before sharing the database. Then the concept of privacy preserving data mining is comes in spot light where the sensitive information is hide in a such a way that database does not lost its integrity and business logics derived from this databases does not contain sensitive information. In this research we introduce new technique for privacy preserving data mining, which hides sensitive information effectively as compared to previous research work. |
Other Details |
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Paper ID: IJSRDV2I9293 Published in: Volume : 2, Issue : 9 Publication Date: 01/12/2014 Page(s): 356-358 |
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