Protected Framework for Securing Sensitive Information from Unauthorized Users

The Access control mechanism avoids the unauthorized access of sensitive information. It protects the user information from the unauthorized access. The Protected protection mechanism is a much important concern in the case of sharing the sensitive information. The Protected protection mechanism provides better Protected for the sensitive information which is to be shared. The generally used Protected protection mechanism uses the generalization and suppression of the sensitive data. It prevents the Protected disclosure of the sensitive data. The Protected protection mechanism avoids the identity and attributes disclosure. The Protected is achieved by the high accuracy and consistency of the user information, ie., the precision of the user information. In this paper, it proposes a Protected persevered access control mechanism for relational data. It uses the accuracy constrained Protected preserving access control mechanism for relational data framework here. It uses the concept of imprecision bound for the Protected preserving access control mechanism. The imprecision bound is set for all queries. For the Protected protection mechanism it uses the combination of both the k-anonymity method and fragmentation method. The k-anonymity method uses the suppression and generalization. Here it uses the clustering method for fragmentation. It also proposes the heuristic method for anonymization process.