A NOVEL FUZZY CLASSIFICATION PROTOCOL OVER ENCRYPTED DATA IN THE CLOUD.

Abstract

Data mining is the investigation  enture of the "Learning Discovery indatabase". It is an interdisciplinary subfield of software engineering and the computational procedure of finding examples in huge data sets Classification is a data mining strategy used to anticipate bunch participation for data occasions. The data is scrambled utilizing the Knapsack cryptosystem calculation. In past strategy utilizing the paillier cryptosystem  calculation. The scrambled data is ordered semantically utilizing the fluffy rationale calculation. In past technique we are utilized KNN classifier. This order calculation gives the low Efficiency is low contrast with the Fuzzy rationale. We are utilizing numerous protected conventions for actualizing grouping calculation. Enhancing the effectiveness of SMIN convention is vital in first stride for development of the entire classifier. In the KNN the SMIN convention  productivity is less in this way, theeffectiveness of the KNN is less contrast with the fluffy rationale classifier. The effectiveness is less in light of the fact that the conventions utilized as a part of the current strategy The issue of registering nth deposit raunchy is accepted to be computationally troublesome.. The classification is critical in the data mining. For high privacy we go for  fluffy classifier. The expense and proficiency of the fluffy classifier is high .