BibTeX:

@article{IJIRSTV1I11171,
     title={Privacy-Preserving Access Control Mechanism for Relational Data },
     author={Shijith T P, Sreelakshmi R and Ambikadevi Amma T},
     journal={International Journal for Innovative Research in Science & Technology},
     volume={1},
     number={11},
     pages={322--326},
     year={},
     url={http://www.ijirst.org/articles/IJIRSTV1I11171.pdf},
     publisher={IJIRST (International Journal for Innovative Research in Science & Technology)},
}

The Access control mechanism avoids the unauthorized access of sensitive information. It protects the user information from the unauthorized access. The privacy protection mechanism is a much important concern in the case of sharing the sensitive information. The privacy protection mechanism provides better privacy for the sensitive information which is to be shared. The generally used privacy protection mechanism uses the generalization and suppression of the sensitive data. It prevents the privacy disclosure of the sensitive data. The privacy protection mechanism avoids the identity and attributes disclosure. The privacy 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 privacy persevered access control mechanism for relational data. It uses the accuracy constrained privacy preserving access control mechanism for relational data framework here. It uses the concept of imprecision bound for the privacy preserving access control mechanism. The imprecision bound is set for all queries. For the privacy 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.

Access control, Privacy, k-anonymity, Imprecision Bound