Application of Oblivious Transfer Protocol in Distributed Data Mining with Privacy-preserving

Privacy-preserving data mining(PPDM) is a rising direction. Specifically, with distributed data sources and consideration of privacy protection for all participants, sensitive information is not allowed to be disclosed between them in a cooperative work. In this research, we suggested and implemented an oblivious transfer method (OT-PPDM). Moreover, we compared it with other two representative resolutions for cooperative data mining. Theoretical analysis and synthetic experiment results show that OT-PPDM is secured and efficient.