Modified Hybrid Algorithm for Protecting Sensitive Information

Providing security to sensitive data against unauthorized access has been a long term goal for the database security research community and for the government statistical agencies. Recent advances in data mining technologies have increased the disclosure risks of sensitive data. Hence, the security issue has become, recently, a much more important area of research. Therefore, in recent years, privacy-preserving data mining has been studied extensively. A number of algorithmic techniques have been designed for privacy-preserving data mining. Most methods use some form of transformation on the data in order to perform the privacy preservation. Such methods reduce the impact of data. This reduction impact of data results in some loss of effectiveness of mining algorithms. A lot of research has already been done to solve the problem. In this paper, we will introduce an efficient algorithm to protect sensitive information.