Two-party privacy-preserving agglomerative document clustering

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

研究成果: 著書/レポートタイプへの貢献会議での発言

5 引用 (Scopus)

抜粋

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.

元の言語英語
ホスト出版物のタイトルInformation Security Practice and Experience - Third International Conference, ISPEC 2007, Proceedings
ページ193-208
ページ数16
出版物ステータス出版済み - 12 20 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(印刷物)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
香港
Hong Kong
期間5/7/075/9/07

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

これを引用

Su, C., Zhou, J., Bao, F., Takagi, T., & Sakurai, K. (2007). Two-party privacy-preserving agglomerative document clustering. : Information Security Practice and Experience - Third International Conference, ISPEC 2007, Proceedings (pp. 193-208). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 巻数 4464 LNCS).