KNN CLASSIFICATION SCHEME BASED PRIVACY PRESERVING POLICY OVER SEMANTICALLY SECURE ENCRYPTED DATABASE

Computer Engineering

Data mining is used in variety of fields such as banking as well as medicine.Data mining not only used in scientific research but also in government agencies. Our ceter of research is to solve the classification problem in enciphered data. In particular, we recommend a secure k-NN classifier in encrypted data over the cloud. The recommended protocol preserve data confidentiality.It also preserve privacy in case of input query of user.It also shield the patterns of data access. We use secure k-NN classifierin case of encrypted data using the semi-honest model. our proposed novel method solve the DMED problem in efficient way.It estimates that the enciphered data are redistributed in a cloud. we give more attention on the classification problem.This paper focus on executing the k-nearest neighbor classification method in enciphered data in case of environment of cloud computing.

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