Protection of Private Data in Association Rule Mining

Today, in the computerized world there is huge requirement of storing data very securely. So this project is mainly based on providing security to the organizations data on the outsourced databases. For example, in cloud computing an organization which lacks in expertise and computing services can fulfil its mining needs from service provider. So to make company's private data protected, that company which is data owner, ships data in encrypted form to third party service provider. And then sends mining queries to service provider to returns pattern with true support. To achieve this, encrypt/decrypt (E/D) module is used. Firstly, data set at client side is encoded and again encryption is applied on encoded data. To transform encoded data in encrypted form, an algorithm is used named as AES algorithm under the encrypt/decrypt scheme. Under AES algorithm, Diffie-Hellman algorithm is used key generation. Once key is generated, AES is used to encrypt and decrypt the data. E/D scheme is used for avoiding service provider from sharing data to other parties other than the data owner. Now the service provider is unaware about what data is stored on server