Efficient parallel summation on encrypted database system

Kentaro Horio, Hideyuki Kawashima, Osamu Tatebe

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

The spread of cloud computing services has resulted in data storage and data management services being outsourced to servers operated by a third party. This outsourcing can raise some security concerns because the administrators of the servers may snoop and explore the data. Encrypted database systems provide a certain level of security by encrypting the data they contain. It provides relational operators over encrypted data, which does not require data decryption and blocks the incidents. The disadvantage of this scheme is the considerable execution expense associated with data processing. Current encrypted database systems do not provide sufficient performance improvement. We focus on the summation operator in this paper, and we propose a parallel execution scheme of sum aggregation over the encrypted database. The proposed method employs task parallelism, and we assign a fine-grained data objects for each thread. We evaluate the proposed method on our prototype database system implemented in C++ and OpenMP. The result showed that proposed method achieves 15.99× performance improvement compared with a conventional method.

本文言語English
ホスト出版物のタイトル2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
出版社Institute of Electrical and Electronics Engineers Inc.
ページ178-185
ページ数8
ISBN(電子版)9781509030156
DOI
出版ステータスPublished - 2017 3 17
外部発表はい
イベント2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017 - Jeju Island, Korea, Republic of
継続期間: 2017 2 132017 2 16

出版物シリーズ

名前2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017

Other

Other2017 IEEE International Conference on Big Data and Smart Computing, BigComp 2017
国/地域Korea, Republic of
CityJeju Island
Period17/2/1317/2/16

ASJC Scopus subject areas

  • 情報システム
  • 人工知能
  • コンピュータ サイエンスの応用
  • コンピュータ ビジョンおよびパターン認識

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