Privacy-preserving Technology and Its Applications in Statistics Measurements

Yifei Yao, Liusheng Huang, Wei Yang, Yonglong Luo, Weiwei Jing, Weijiang Xu
2007 Proceedings of the 2nd International ICST Conference on Scalable Information Systems  
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.
doi:10.4108/infoscale.2007.211 dblp:conf/infoscale/YaoLHJYX07 fatcat:rebtrr5jfrak7f76zabxb3tlcy