Abstract
Privacy-containing data publishing shows the problem of releasing sensitive data while the mining of useful information. Among present privacy models, SHA privacy algorithm provides more security and privacy model. In this paper, we address the problem of released private data, where different dataset for the same set of user are held by two parties. Here, we present an algorithm for sensitive private data released on web in the form of statistical data. After this, we propose a SHA algorithm that releases differentially private data in a secure way during the privacy computation. Experimental results on real-scenario suggest that the proposed algorithm can effectively preserve information during mining of private information.
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