• Seena Patel
• Ms. Ripal Patel

The paper demonstrate on accuracy constrained privacy-preserving access control mechanism for relation data framework with multilevel anonymization techniques. Access control policy which define selection predicate on sensitive data and privacy requirement deals with anonymity. As privacy protection mechanism (PPM) provides less privacy protection and the data is shared so the user should compromise the with the privacy of data. The goal of the paper is to provide more security to the sensitive data along with minimal level of precision. The concept of accuracy constraints for permissions can be applied to any privacy-preserving security policy. Our goal is to solve problem of K-anonymity algorithm and provide solution by improving l-diversity algorithm.

Access control, privacy, k-anonymity, query evaluation

"Improved Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.214-216, April-2017, Available :http://www.jetir.org/papers/JETIR1704053.pdf

"Improved Accuracy-Constrained Privacy-Preserving Access Control Mechanism for Relational Data", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp214-216, April-2017, Available at : http://www.jetir.org/papers/JETIR1704053.pdf