2nd International ICST Conference on Scalable Information Systems

Research Article

Privacy-preserving Technology and Its Applications in Statistics Measurements

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  • @INPROCEEDINGS{10.4108/infoscale.2007.211,
        author={Yifei Yao and Liusheng Huang and Wei Yang and Yonglong Luo and Weiwei Jing and Weijiang Xu},
        title={Privacy-preserving Technology and Its Applications in Statistics Measurements},
        proceedings={2nd International ICST Conference on Scalable Information Systems},
        proceedings_a={INFOSCALE},
        year={2010},
        month={5},
        keywords={secure multi-party computation (SMC) privacy-preserving statistics measurements commutative encryption data perturbation.},
        doi={10.4108/infoscale.2007.211}
    }
    
  • Yifei Yao
    Liusheng Huang
    Wei Yang
    Yonglong Luo
    Weiwei Jing
    Weijiang Xu
    Year: 2010
    Privacy-preserving Technology and Its Applications in Statistics Measurements
    INFOSCALE
    ICST
    DOI: 10.4108/infoscale.2007.211
Yifei Yao1,*, Liusheng Huang2,*, Wei Yang1,*, Yonglong Luo1,*, Weiwei Jing1,*, Weijiang Xu1,*
  • 1: Depart.of Comp. Sci. & Tech., USTC NHPCC 416, East Campus USTC, Hefei, 230026, PRC Tel: 86-551-3602445
  • 2: Depart.of Comp. Sci. & Tech., USTC NHPCC 416, East Campus USTC, Hefei, 230026, PRC Tel: 86-551-3607431
*Contact email: yaoyifei@mail.ustc.edu.cn, lshuang@ustc.edu.cn, smartyw@mail.ustc.edu.cn, ylluo@ustc.edu.cn, wwjing@mail.ustc.edu.cn, wjxu@mail.ustc.edu.cn

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.