Application of Oblivious Transfer Protocol in Distributed Data Mining with Privacy-preserving
Weiping Wang, Bing Deng, Zhepeng Li · 2007
Privacy-preserving data mining(PPDM) is a rising di- rection. Specifically, with distributed data sources and con- sideration of privacy protection for all participants, sen- sitive 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 res- olutions for cooperative data mining. Theoretical analysis and synthetic experiment results show that OT-PPDM is se- cured and efficient.