A Novel Framework using Elliptic Curve Cryptography for Extremely Secure Transmission in Distributed Privacy Preserving Data Mining

摘要

Privacy Preserving Data Mining is a method which ensures privacy ofindividual information during mining. Most important task involves retrievinginformation from multiple data bases which is distributed. The data once in thedata warehouse can be used by mining algorithms to retrieve confidentialinformation. The proposed framework has two major tasks, secure transmissionand privacy of confidential information during mining. Secure transmission ishandled by using elliptic curve cryptography and data distortion for privacypreservation ensuring highly secure environment.