Data Mining with Privacy Protection Using Precise Elliptical Curve Cryptography

Protecting the privacy of data in multi-cloud is a crucial task. Data mining technique that protects individual while those data. The most significant task entails obtaining from numerous remote databases. Mining algorithms can obtain sensitive information once warehouse. Many traditional algorithms/techniques promise to provide safe transfer, storing, and retrieving over cloud platform. These strategies are primarily concerned with protecting user This study aims present protection (DMPP) using precise elliptic curve cryptography (PECC), which builds upon algebraic finite fields. approach enables exchange by utilizing reliable consolidation entirely reliant on rewritable concealing techniques. Also, it outperforms terms solid procedures maintaining quality Average approximation error, computational cost, anonymizing time, loss considered performance measures. suggested practical applicable real-world situations according experimental findings.