An Effective Supermodularity Based Approach for Data Privacy at Storage Level

In this paper we presented a supermodulaity based approach for data privacy using noval encryption mechani-sum in this conncetion the seviority of data privacy at storage level is most considerable so in our presented system lack of data privacy , scalability due to low security algorithm while data transformation so in our proposed system Scalability and privacy risk of data anonymization can be addressed by using differential privacy. Differential privacy provides a theoretical formulation for privacy. A scalable algorithm is use to find the differential privacy when applying specific random sampling. The risk function can be employ through the supermodularity properties.