A Review on Privacy Preservation in Distributed Data Mining |
Author(s): |
| Dhana Lakshmi. S , Sri Krishna arts and science college; Mekala. S, Sri Krishna arts and science college; Swathi. T, Sri Krishna arts and science college |
Keywords: |
| Data Mining; Privacy Preservation; Data Security; Classification of PPDDM |
Abstract |
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This article first describes the privacy concerns that arise due to distributed database and data mining, especially for national security applications. Then we discuss about data distribution. In particular, we view the horizontal and vertical data distribution. We also describe an approach for data privacy and security which includes data privacy, data security, relationship between data privacy and data security, data Perturbation and privacy preservation. Then we give a classification dimension of PPDDM protocol which includes Data partitioning model, Data mining algorithms, secure communication model, Privacy preserving techniques. There are some of the directions for future research on privacy as related to data mining are given. |
Other Details |
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Paper ID: IJSRDV6I21106 Published in: Volume : 6, Issue : 2 Publication Date: 01/05/2018 Page(s): 3919-3922 |
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