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

  • Authors:

  • Weiping Wang;Bing Deng;Zhepeng Li

  • Affiliations:

  • -;-;-

  • Venue:
  • ISDPE '07 Proceedings of the The First International Symposium on Data, Privacy, and E-Commerce
  • Year:
  • 2007

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Abstract

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.