Privacy Preserving Data Mining - Optimization in K-Anonymity using Machine Learning Approach |
Author(s): |
| Ankit Patel , BVM; Keyur N. Brahmbhatt, BVM; N. B. Prajapati, BVM, BVM |
Keywords: |
| Anonymization, K- Anonymity, Machine Learning Algorithms |
Abstract |
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In now days the information sharing is very important. One organization shares the information of user to another organization for the better survey purpose. But the sensitive data of user will not be disclosed. So for that purpose we have to hide some sensitive data of user for that the data must be encrypted. K-anonymity algorithm is one of the ways to encrypt data so that data cannot be stealing and the information in the data will not modify. But there is some way to attack on the k-anonymity encrypted data. One of the way is background knowledge attack, in this if the attacker knows some basic information about the use then he can get the detail from database. If we can add some more data in the original database and the apply k-anonymity algorithm so that the attacker is get more rows of data and he will confuse so the data should be protected from the attacker. |
Other Details |
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Paper ID: IJSRDV3I90141 Published in: Volume : 3, Issue : 9 Publication Date: 01/12/2015 Page(s): 659-661 |
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