Privacy-preserving hypothesis testing for the analysis of epidemiological medical data

Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages359-365
Number of pages7
ISBN (Print)9781479936298
DOIs
Publication statusPublished - 1 Jan 2014
Event28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014 - Victoria, BC, Canada
Duration: 13 May 201416 May 2014

Publication series

NameProceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN (Print)1550-445X

Conference

Conference28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
CountryCanada
CityVictoria, BC
Period13/05/1416/05/14

Keywords

  • homomorphic encryption
  • hypothesis test
  • privacy

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  • Cite this

    Kikuchi, H., Sato, T., & Sakuma, J. (2014). Privacy-preserving hypothesis testing for the analysis of epidemiological medical data. In Proceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014 (pp. 359-365). [6838687] (Proceedings - International Conference on Advanced Information Networking and Applications, AINA). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/AINA.2014.46