Survey On Privacy Preserving Data Mining Techniques

Abstract

While sharing the private data, privacy preserving is becoming an increasingly significant issue. Various privacy preserving data mining techniques like data modification and secure multiparty computation based on the different aspects. analyze the comparative study of all techniques so Issues about privacy-preserving data mining have emerged globally. The aim of privacy-preserving data mining is to find the right balance between maximizing analysis results that are useful for the common good and keeping the inferences that disclose private information about organizations or individuals at a minimum.