A privacy-preserving query system using fully homomorphic encryption with real-world implementation for medicine-side effect search

Yusheng Jiang, Tamotsu Noguchi, Nobuyuki Kanno, Yoshiko Yasumura, Takuya Suzuki, Yu Ishimaki, Hayato Yamana

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

Abstract

The preservation of privacy during a search has become a serious problem in recent years. There is an increasing requirement to ensure that user queries are not abused by a third party, including the search provider. Fully homomorphic encryption (FHE) can conduct addition and multiplication directly over ciphertext. Using FHE, privacy, concerning both the user queries and the database of the search provider, can be protected. In this paper, we propose a privacy-preserving query system model. We implemented the proposed model in a real-world medicine side-effect query system. We applied a filtering technique, prior to the query deployment, to reduce the size of the database and used multi-threading to accelerate the search. The system was tested 10,000 times with a random query, using a database comprising 40,000 records of simulation data, and completed 99.84% of the queries within 60 seconds (s), proving the real-world applicability of our system.

Original languageEnglish
Title of host publication21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Proceedings
EditorsMaria Indrawan-Santiago, Eric Pardede, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
PublisherAssociation for Computing Machinery
ISBN (Electronic)9781450371797
DOIs
Publication statusPublished - 2019 Dec 2
Event21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Munich, Germany
Duration: 2019 Dec 22019 Dec 4

Publication series

NameACM International Conference Proceeding Series

Conference

Conference21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019
CountryGermany
CityMunich
Period19/12/219/12/4

Keywords

  • Fully homomorphic encryption
  • Medicine-side effect search
  • Privacy-preserving query system

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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  • Cite this

    Jiang, Y., Noguchi, T., Kanno, N., Yasumura, Y., Suzuki, T., Ishimaki, Y., & Yamana, H. (2019). A privacy-preserving query system using fully homomorphic encryption with real-world implementation for medicine-side effect search. In M. Indrawan-Santiago, E. Pardede, I. L. Salvadori, M. Steinbauer, I. Khalil, & G. Anderst-Kotsis (Eds.), 21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Proceedings (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3366030.3366061