Outsourced private set union on multi- A ttribute datasets for search protocol using fully homomorphic encryption

Rumi Shakya, Yoshiko Yasumura, Suzuki Takuya, Yu Ishimaki, Hayato Yamana

研究成果: Conference contribution

抄録

In the era of big data and cloud computing, outsourcing data storage to the cloud poses the risk of its abuse or leakage. Thus, we address the problem of delegating computation on outsourced private datasets while maintaining privacy. In this study, we consider a scenario involving two data owners outsourcing their datasets to a cloud service. The cloud performs a set union computation, after which the querier sends a query to obtain information from both datasets. We propose a protocol that uses fully homomorphic encryption (FHE) and Cartesian-join of Bloom filters (CBF) as proposed by Wang et al. The protocol obtains information on the existence of a particular set of elements without learning about the residing source. To the best of our knowledge, our protocol, by using the FHE and CBF matrix, is a novel approach to ensuring the security of outsourced set union operations.

本文言語English
ホスト出版物のタイトル21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Proceedings
編集者Maria Indrawan-Santiago, Eric Pardede, Ivan Luiz Salvadori, Matthias Steinbauer, Ismail Khalil, Gabriele Anderst-Kotsis
出版社Association for Computing Machinery
ISBN(電子版)9781450371797
DOI
出版ステータスPublished - 2019 12 2
イベント21st International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2019 - Munich, Germany
継続期間: 2019 12 22019 12 4

出版物シリーズ

名前ACM 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

ASJC Scopus subject areas

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

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