The state of the art and tendency of privacy preserving data mining
Bo Wang, Jing Yang · 2011
As a new branch of data mining, privacy preserving data mining has become more and more important in the information security field. This paper first presents an insight into the principles of privacy preserving data mining, and then marks out the difference with normal data mining through three stages, including single data record methods, centralized dataset mining technology and secure multiparty computation problem. By studying and analyzing privacy preserving data mining methods, the present problems and directions for future research are discussed.