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

Hiroaki Kikuchi, Tomoki Sato, Jun Sakuma

研究成果: Conference contribution

1 引用 (Scopus)

抜粋

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.

元の言語English
ホスト出版物のタイトルProceedings - 2014 IEEE 28th International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
出版者Institute of Electrical and Electronics Engineers Inc.
ページ359-365
ページ数7
ISBN(印刷物)9781479936298
DOI
出版物ステータスPublished - 1 1 2014
イベント28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014 - Victoria, BC, Canada
継続期間: 13 5 201416 5 2014

出版物シリーズ

名前Proceedings - International Conference on Advanced Information Networking and Applications, AINA
ISSN(印刷物)1550-445X

Conference

Conference28th IEEE International Conference on Advanced Information Networking and Applications, IEEE AINA 2014
Canada
Victoria, BC
期間13/05/1416/05/14

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  • これを引用

    Kikuchi, H., Sato, T., & Sakuma, J. (2014). Privacy-preserving hypothesis testing for the analysis of epidemiological medical data. : 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