Privacy Preserving Based on Random Projection using Data Perturbation Technique |
Author(s): |
| Ripal Patel , S.P.B. PATEL ENGINEERING COLLEGE, MEHSANA; Prof. Aniket Patel, S.P.B. PATEL ENGINEERING COLLEGE, MEHSANA |
Keywords: |
| privacy preserving; data mining; sensitive data |
Abstract |
|
Privacy preserving is a very popular technique because it permits sharing of privacy sensitive data for analysis purposes. So many privacy preserving techniques have already been studied. Existing techniques of privacy preserving data mining are used for static databases which are not suitable for data streams. Now a days, data streams which are new concept of data and which are different from the static data [1]. Here, if the data changes, then there is necessary to rescan the database. so, it takes more computation time and it has inability to respond the user. If data transformation is used then data accuracy is decreases. So, here necessary to develop system which preserve the privacy with accuracy. So, here privacy preserving data stream mining is an important issue. |
Other Details |
|
Paper ID: IJSRDV3I31162 Published in: Volume : 3, Issue : 3 Publication Date: 01/06/2015 Page(s): 3648-3653 |
Article Preview |
|
|
|
|
