Protective Speculation Clouds With Valuable Cost
Journal Title: International Journal of Research in Computer and Communication Technology - Year 2015, Vol 4, Issue 10
Abstract
In this paper, we propose Protective Speculation Clouds With Valuable Cost constraint based approach to identify which datasets need to be encrypted and which do not, so that privacy preserving cost can be saved while the privacy requirements of data holders can still be satisfied Access control systems .It will be that as it may, when touchy information's is given and a Protection speculation is not set up, an approved client can even now surrender the protection of a man prompting interesting disclosure. Preserving the protective of the intermediate data sets is a challenging problem because adversaries may recover sensitive information by analyzing multiple intermediate data sets A Protective speculation can utilize concealment and speculation of social information to anonymize and fulfill protection need, e.g., k-secrecy and l-differing qualities. This type of works in any case, security is accomplished at the expense of accuracy of approved information. in existing approaches to address this challenges. But we argue that encrypting all intermediate data sets are neither efficient nor cost-effective because it is very time reducing and costly for data-intensive applications to end decrypt data sets frequently while performing any operation on them In this paper, we propose a so that privacy-preserving cost can be saved while the privacy requirements of data holders can still be satisfied. Evaluation results demonstrate that the privacy-preserving cost of intermed iate data sets can be significantly reduced with our approach over existing once where all data sets are encrypted.
Authors and Affiliations
Maddirala Kaveri, Uppalapati Srilakshmi
Keywords
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