期刊名称：International Journal of Electronics, Communication and Soft Computing Science and Engineering
印刷版ISSN：2277-9477
出版年度：2014
卷号：3
期号：7
出版社：IJECSCSE
摘要：Design And Analysis Of Two Party Protocol to Retrieve Private Data By Using Vertical Partitioned Data is for Privacy- Privacy-preserving data publishing addresses the problem of disclosing sensitive data when mining for useful information. Among the existing privacy models, e-differential privacy provides one of the strongest privacy guarantees. In this article,address the problem of private data pu blishing, where different attributes for the same set of individuals are held by two parties. In particular,present an algorithm for differentially private data release for vertically partitioned data between two parties in the semihonest adversary model. To achieve this, first present a two-party protocol for the exponential mechanism. This protocol can be used as a subprotocol by any other algorith m that requires the exponential mechanism in a distributed setting. Furthermore, we propose a two-party algorithm that releases differentially private data in a secure way according to the definition of secure multiparty computation. Experimental results on real- life data suggest that the proposed algorithm can effectively preserve information for a data mining task.of this approach is given in standard model. Public-key patient-controlled encryption structure yet to be known
关键词：Differential privacy; secure data integration; classification analysis
