Handling large dataset is a tedious task. The solution to this problem is to apply parallel or distributed approaches. Through mining, interesting relations and patterns between variables of large database can be observed securely using cryptographic techniques and the mining algorithms. This paper addresses the problem of secure distributed association rule mining over the horizontally distributed database. Security is the main problem in association rule mining projects. The performance of data mining algorithm can be accelerated from O(N) to O(N/k) with parallelism, where N = number of data records and k =number of nodes in distributed system [2]. There are several sites in the transaction. This system is based on distributed mining algorithm, K&C algorithm and AES algorithm. Distributed mining algorithm proposed here is the distributed version of apriori algorithm. The cryptographic technique is used to provide security in order to minimize the information shared in mining. With proposed method speed up is acquired while preserving the privacy of the data.
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