Privacy-preserving technology and its applications in statistics measurements

Authors:
Yifei Yao;Yonglong Luo;Liusheng Huang;Weiwei Jing;Wei Yang;Weijiang Xu
Affiliations:
USTC, East Campus USTC, Hefei, PRC;USTC, East Campus USTC, Hefei, PRC;USTC, East Campus USTC, Hefei, PRC;USTC, East Campus USTC, Hefei, PRC;USTC, East Campus USTC, Hefei, PRC;USTC, East Campus USTC, Hefei, PRC
Venue:
Proceedings of the 2nd international conference on Scalable information systems
Year:
2007

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Abstract

Statistics measurements are of great importance in data set description. Although there have been some papers about statistical analysis, little work focused on the flavors of measurements or privacy-preserving property. In this paper, we consider the applications of secure multi-party computation technology in statistics measurements computation to preserve privacy. Secure protocols of harmonic mean, geometric mean and mode are proposed. Detailed analyses about security and complexity of them are also presented.