An Efficient Cryptographic Privacy Preserving Algorithm for Association Rule Mining over Heterogeneous Database
نویسندگان
چکیده
Recently, there are many privacy and security issues in data mining. A considerable research has focused on developing new data mining algorithms that incorporate privacy constraints. Their is a conflict between privacy and data mining. As most types of data mining produce summary results that do not reveal information about individuals. But the process of data mining may use private data, leading to the potential for privacy breaches. In this paper, we focus on privately mining association rules in vertically partitioned data. We present an efficient algorithm for this problem based on cryptographic. The proposed algorithm not only secure as other protocols for the same problem, but also much faster.
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