International Journal of Soft Computing And Artificial Intelligence (IJSCAI)
current issues
Volume-6,Issue-2  ( Nov, 2018 )
Statistics report
Jul. 2019
Submitted Papers : 80
Accepted Papers : 10
Rejected Papers : 70
Acc. Perc : 12%
Issue Published : 12
Paper Published : 168
No. of Authors : 470
  Journal Paper

Paper Title
Data Privacy Preservation using Data Perturbation Techniques

Abstract
Data mining is the extraction of valuable knowledge from large data. Nowadays Data mining is done on Dynamic data rather than the traditional static data. The Data Mining techniques used today consider one main issue, the privacy of the critical and sensitive Data. There are various techniques involved in the privacy preservation of critical data. Data Perturbation is an important method to preserve privacy of data. Data perturbation is the data security technique that modifies the database to preserve the privacy and confidentiality. It is used for both data privacy and accuracy. In this paper we are going to discuss about the various perturbation techniques that can be used to preserve data privacy and discuss about the implications of the techniques. Keywords- Data Perturbation, Confidentiality, Data Mining, Privacy Preserving


Author - Thanga Revathi S, N.Ramaraj

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| Published on 2018-01-23
   
   
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