Two-party privacy-preserving agglomerative document clustering

Chunhua Su, Jianying Zhou, Feng Bao, Tsuyoshi Takagi, Kouichi Sakurai

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

7 被引用数 (Scopus)

抄録

Document clustering is a powerful data mining technique to analyze the large amount of documents and structure large sets of text or hypertext documents. Many organizations or companies want to share their documents in a similar theme to get the joint benefits. However, it also brings the problem of sensitive information leakage without consideration of privacy. In this paper, we propose a cryptography-based framework to do the privacy-preserving document clustering among the users under the distributed environment: two parties, each having his private documents, want to collaboratively execute agglomerative document clustering without disclosing their private contents.

本文言語英語
ホスト出版物のタイトルInformation Security Practice and Experience - Third International Conference, ISPEC 2007, Proceedings
出版社Springer Verlag
ページ193-208
ページ数16
ISBN(印刷版)3540721592, 9783540721598
DOI
出版ステータス出版済み - 2007
イベント3rd International Conference on Information Security Practice and Experience, ISPEC 2007 - Hong Kong, 香港
継続期間: 5 7 20075 9 2007

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
4464 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

その他

その他3rd International Conference on Information Security Practice and Experience, ISPEC 2007
国/地域香港
CityHong Kong
Period5/7/075/9/07

All Science Journal Classification (ASJC) codes

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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