Privacy-preserving two-party K-means clustering via secure approximation

Chunhua Su, Feng Bao, Jianying Zhou, 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

16 引用 (Scopus)

抜粋

K-means clustering is a powerful and frequently used technique in data mining. However, privacy breaching is a serious problem if the k-means clustering is used without any security treatment, while privacy is a real concern in many practical applications. Recently, four privacypreserving solutions based on cryptography have been proposed by different researchers. Unfortunately none of these four schemes can achieve both security and completeness with good efficiency. In this paper, we present a new scheme to overcome the problems occurred previously. Our scheme deals with data standardization in order to make the result more reasonable. We show that our scheme is secure and complete with good efficiency.

元の言語英語
ホスト出版物のタイトルProceedings - 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07
ページ385-391
ページ数7
DOI
出版物ステータス出版済み - 10 18 2007
イベント21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07 - Niagara Falls, ON, カナダ
継続期間: 5 21 20075 23 2007

出版物シリーズ

名前Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07
2

その他

その他21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07
カナダ
Niagara Falls, ON
期間5/21/075/23/07

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Software
  • Mathematics(all)

これを引用

Su, C., Bao, F., Zhou, J., Takagi, T., & Sakurai, K. (2007). Privacy-preserving two-party K-means clustering via secure approximation. : Proceedings - 21st International Conference on Advanced Information Networking and ApplicationsWorkshops/Symposia, AINAW'07 (pp. 385-391). [4221090] (Proceedings - 21st International Conference on Advanced Information Networking and Applications Workshops/Symposia, AINAW'07; 巻数 2). https://doi.org/10.1109/AINAW.2007.295