A Brief Survey on Privacy Preserving Techniques in Data Mining

Abstract

Data mining is a process of extracting the required information from large datasets. Privacy preserving data mining deals with hiding a person's sensitive identity without losing the usability of data. Sensitive identities include some private information about persons, companies, and governments that have to be suppressed before it is shared or published. Thus, privacy preserving data mining has become a vital field of research. The capability of privacy preserving data mining techniques is measured by using metrics such as performance in terms of time efficiency, data utility and level of uncertainty or resistance to data mining algorithms. In this paper, various privacy preserving techniques such as Data anonymization, Data Randomization, use of cryptography are presented. General Terms: Data Mining, Privacy and Security.