Privacy Preserving Based on Encrypting Selective Data Sets in Cloud.

Cloud computing provides massive computation power and storage capacity which enable users to deploy computation and data-intensive applications without infrastructure investment. The data are stored in the data sets in the cloud. However, preserving the privacy of intermediate data sets becomes a challenging problem. In existing approaches encrypting all data sets in cloud is widely a greater overhead. So by encrypting all intermediate data sets are neither efficient nor cost-effective. Because it is very time consuming and greater cost consuming. The time consuming and greater cost problem is resolved by encrypting only the selected intermediate data sets. For selecting which intermediate data sets need to be encrypted and which do not, a proposal is made that a novel upper bound privacy leakage constraint-based approach. By using this approach the privacy-preserving cost can be reduced and also time consuming for encryption also get reduced.