Analysis and improvement of privacy-preserving frequent item protocol for accountable computation framework

Chunhua Su, Guilin Wang, Kouichi Sakurai

研究成果: 書籍/レポート タイプへの寄稿会議への寄与

1 被引用数 (Scopus)

抄録

Nowadays, data collection and processing becomes ubiquitous in social and business areas, especially in Internet of Things. However, sensitive information leakage is a critical issue. To solve problem, privacy-preserving techniques are strongly needed. Jiang {\em et al.} proposed a protocol of finding frequent item in accountable computing (AC) framework which enables two parties to conduct collaborative computation on their transactional databases to find out the common frequent items without disclosing their private data to the other party. Their scheme was proposed in a secure two-party computation model against malicious adversaries. In this paper, we analyze the implementation details of AC-framework and identify some security weaknesses in their scheme. Furthermore, we clarify the security requirements for the AC-framework and present an augmented solution to enhance security.

本文言語英語
ホスト出版物のタイトルProc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012
ページ1012-1017
ページ数6
DOI
出版ステータス出版済み - 11月 5 2012
イベント11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - Liverpool, 英国
継続期間: 6月 25 20126月 27 2012

出版物シリーズ

名前Proc. of the 11th IEEE Int. Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012 - 11th IEEE Int. Conference on Ubiquitous Computing and Communications, IUCC-2012

その他

その他11th IEEE International Conference on Trust, Security and Privacy in Computing and Communications, TrustCom-2012
国/地域英国
CityLiverpool
Period6/25/126/27/12

!!!All Science Journal Classification (ASJC) codes

  • コンピュータ ネットワークおよび通信
  • コンピュータ サイエンスの応用

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