Privacy-Preserving Hypothesis Testing for the Analysis of Epidemiological Medical Data
Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma · 2014
This paper studies privacy issues related to epidemiological studies. Epidemiological studies need to preserve the privacy of subjects because they use personal information. Thus, privacy is preserved using a secure scalar product protocol based on a public-key cryptosystem and the secure function evaluation. However, the secure function evaluation has performance limitations in evaluating a product and a squared root. Therefore, this paper proposes a new computationally efficient scheme for privacy-preserving epidemiological analysis. The performance and the security of the proposed scheme are evaluated based on its trial implementation.