Abstract: Generally, data mining (sometimes called data or knowledge discovery) is the process of analyzing data from different perspectives and summarizing it into useful information Data integration between autonomous entities should be conducted in a way that no more information than necessary entity is revealed between the participating entities. New knowledge that results from the integration process should not be misused by adversaries to reveal sensitive information that was not available before the data integration. To securely integrate person-specific sensitive data from multi data providers, the integrated data still retain the essential information for supporting data mining tasks. The multi-party data publishing generate an integrated data table satisfying differential privacy. The algorithm also satisfies the security definition in the secure multiparty computation.
Keywords: Differential Privacy, Secure Data Integration, Classification Analysis.
Title: A Unique Approach for Multiparty Data Distribution Using Anonymization Protocol
Author: Kiruthika Murugesan, Saranya Sivasamy, Sudha Elangovan
International Journal of Computer Science and Information Technology Research
ISSN 2348-1196 (print), ISSN 2348-120X (online)
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