Design of a Secure Computation Protocols for Distributed Association Rule Mining on Partitioned Data

In several applications, data mining play vital role in a distributed database scheme. In this scenario misuse of data may exist. But sometimes, data owners may be related to such misuse. Therefore, data owners do not require their data to be mined, because which contain sensitive information. Privacy preserving is for providing security of the data in the data mining schema. In this paper, an encryption and decryption protocols for secure distributed association rule mining is proposed. We applied commutative encryption and decryption for privacy preserving distributed mining of association rules. This protocol provides better security and better performance than existing once.