Preserve the Privacy of Anonymous and Confidential Database using K-anonymity

In field of IT sector to maintain privacy and confidentiality of data is very important for decision making. So there is requirement of certain data to be published and exchanging of the information is in demand. The data to be exchanged contains sensitive information which moves around various parties and this may violate individual's privacy. So to preserve information in its accurate form while moving among various parties, my aim is to provide mechanism known as k_anonymous technique that doesn’t allow the unauthenticated user to modify the data. In this application two protocols that will solve this problem based on suppression and generalization k-anonymous and confidential databases are used. The protocols rely on well-known cryptographic assumptions, and it provides theoretical analyses to proof their experimental results to illustrate their efficiency.