A SURVEY ON PRIVACY PRESERVING DATA MINING: APPROACHES AND TECHNIQUES

作者：GAYATRI NAYAK; SWAGATIKA DEVI

来源：International Journal of Engineering Science and Technology, 2011.

• Privacy-preserving
• randomization
• k-anonymity
• distributed privacy preserving

Privacy preserving data mining has become increasingly popular because it allows sharing of privacy sensitive data for analysis purposes .So people have become increasingly unwilling to share their data, frequently resulting in individuals either refusing to share their data or providing incorrect data. In recent years, privacy preserving data mining has been studied extensively, because of the wide proliferation of sensitive information on the internet. We discuss method for randomization, kanonymization, and distributed privacy preserving data mining. Knowledge is supremacy and the moreknowledgeable we are about information break-in, we are less prone to fall prey to the evil hacker sharks of information technology. In this paper, we provide a review of the state-of-the-art methods for privacy and analyze the representative technique for privacy reserving data mining and points out their merits and demerits. Finally the present problems and directions for future research are discussed.