PRIVACY PRESERVING DATA MINING BASED ON RANDOM DECISION TREE FRAMEWORK

Abstract

Data processing with information privacy and information utility has been emerged to manage distributed information expeditiously. In this paper, we tackle the problem of privacy in sensitive data based on RSA encryption algorithm within RDT. We introduce a generalized privacy preserving variant of the ID3 algorithm for vertically partitioned data distributed over multiple parties.The RSA technique provide two keys private and public which gives strong privacy as well as easy sharing of data in multiparty computation.It also maintain high utility of data and low computation cost because of boosting algorithm applied on the classified data. We have used this as an application in libraries which has less space storage.