Accuracy-Constrained Privacy-Preserving Cell Level Access Control Mechanism for Relational Data

To prevent the misuse of sensitive data by the authorized users and provide both privacy and security of the sensitive data. New approach has investigated privacy-preservation from the anonymity aspect. The access control mechanisms and privacy preservation mechanisms protect the data from unauthorized or third party user. When there is a lack in privacy preserving mechanism (PPM) and data is shared with others, the authorized user may need to compromise the privacy of data or Information. The privacy preservation can be achieved through anonymization techniques like generalization or suppression. Along with privacy the precision of the authorized data is important. The aim of the work is to provide better security and minimum level of precision to the retrieved data, for that in this paper an accuracy constrained privacy preserving access control mechanism is implemented with additional constraint on each selection predicate called imprecision bounds. New approach plan to extend the proposed privacy-preserving cell level access control. Todays fast growing world, the malicious intent or hacking purpose also increasing. So there is a need to provide a better security to our system.