Secure Division Protocol and Applications to Privacy-preserving Chi-squared Tests

Hiraku Morita, Nuttapong Attrapadung, Satsuya Ohata, Koji Nuida, Shota Yamada, Kana Shimizu, Goichiro Hanaoka, Kiyoshi Asai

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

1 Citation (Scopus)

Abstract

We present a new secure integer division protocol with private divisor. Our protocol is based loosely on the Bogdanov et al. (Int. J. Inf. Secur.'12) protocol, which securely computes the classical Goldschmidt's division algorithm. While the Bogdanov et al. scheme was designed specifically to work only on a 3-out-of-3 secret sharing scheme, our scheme works on a 2-out-of-2 secret sharing scheme. This has an advantage since the latter setting is more widely used in the literature of secure computation, and our protocol can thus be used as an efficient building block in this setting. We implement our protocol in Python and provide its benchmark.As a main application of our division protocol, we implement a secure protocol for privacy-preserving chi-squared tests on genomic data. This demonstrates that the proposed protocol is suitable for the statistical analysis on sensitive data.

Original languageEnglish
Title of host publicationProceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages530-534
Number of pages5
ISBN (Electronic)9784885523182
DOIs
Publication statusPublished - 2019 Mar 8
Event15th International Symposium on Information Theory and Its Applications, ISITA 2018 - Singapore, Singapore
Duration: 2018 Oct 282018 Oct 31

Publication series

NameProceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018

Conference

Conference15th International Symposium on Information Theory and Its Applications, ISITA 2018
CountrySingapore
CitySingapore
Period18/10/2818/10/31

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ASJC Scopus subject areas

  • Computer Science Applications
  • Information Systems

Cite this

Morita, H., Attrapadung, N., Ohata, S., Nuida, K., Yamada, S., Shimizu, K., Hanaoka, G., & Asai, K. (2019). Secure Division Protocol and Applications to Privacy-preserving Chi-squared Tests. In Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018 (pp. 530-534). [8664337] (Proceedings of 2018 International Symposium on Information Theory and Its Applications, ISITA 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ISITA.2018.8664337