Maximizing Data Utility by using Data Anonymization Technique

Abstract

Data Anonymization is one of the techniques for achieving the database privacy. In this method of data anonymization the facility of hiding the identification factor from the other users. Hence the feature of this method is used for the modification purpose only and that will remove the identities of person and appears table in same way. It will help for maintaining the risk factor. This approach can be increased data utility tradeoff in an organization. Scalability and privacy risk are the main factors regarding any database over an organization. Here this are two factor can be help to maximizing the data utility as well as minimizing the risk by using differential privacy preserving method. At the time of released data differential privacy preserving mechanism support for individual data hiding , by adding the noise and disclose for the secondary purpose.
DOI: 10.17762/ijritcc2321-8169.1506154