Suppression and Generalization – Based Privacy Preserving Updates to Confidential Databases

Abstract

The data owners directly read the contents of the database simply it breaks the privacy of the user's data. If the users access the database content directly then the confidentiality of the data owners has been violated. So both privacy and confidentiality of the database are considered to be a major problem. In the existing system the privacy information gets lost in large amount and does not provide any security mechanism. It is impossible to consider every possible inference and also drastically reduces the quality of the data. The proposed system considers the privacy information is more valuable both in research and business areas. So the data sharing is common in order to provide the data remain k-anonymous even after the updates. The proposed system includes a Commutative Homomorphic Encryption Scheme is used to make the data privacy and confidentiality of the database. This system provides the security of data using RSA algorithm. This system accepts precise inference only and suppresses the sensitive information in order to prevent inference. The proposed system has several important properties which overcomes the drawbacks of the existing system. The properties are anonymous authentication, privacy preservation, confidential access, anonymity maintenance, data management, secure computation, data integrity and also access control. Keywords - Privacy, confidentiality, anonymity, data management, secure computation.