Two-party privacy-preserving agglomerative document clustering

  • Authors:
  • Chunhua Su;Jianying Zhou;Feng Bao;Tsuyoshi Takagi;Kouichi Sakurai

  • Affiliations:
  • Department of Computer Science and Communication Engineering, Kyushu University, Japan;Systems and Security Department, Institute for Infocomm Research, Singapore;Systems and Security Department, Institute for Infocomm Research, Singapore;School of Systems Information Science, Future University-Hakodate, Japan;Department of Computer Science and Communication Engineering, Kyushu University, Japan

  • Venue:
  • ISPEC'07 Proceedings of the 3rd international conference on Information security practice and experience
  • Year:
  • 2007

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Abstract

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.