Understating Frequent Pattern Mining on Encrypted Cloud Data and its SECURITY

Abstract: Frequent Itemset mining is important part of data mining techniques, which focuses on looking at sequences of actions or event. In real world, a lot of exists on large datasets that are stored on cloud servers in recent years. By using data mining techniques on these large dataset increases the accuracy of in terms of data result and also the efficiency. But it also brings the possibility of data leakage of confidential private datasets. Therefore, in this proposed work we focus on the privacy and efficiency of frequent Itemset. Proposed system uses the FP growth algorithm, which is best performing algorithm for frequent pattern mining. Also to maintain the privacy of frequent item set patterns, encryption algorithm has been implemented.

Keywords: Data Mining, Cloud computing, frequent pattern mining