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  • 标题:Symmetric-Key Based Privacy-Preserving Scheme For Mining Support Counts
  • 本地全文:下载
  • 作者:Yu Li ; Sheng Zhong
  • 期刊名称:Advanced Computing : an International Journal
  • 印刷版ISSN:2229-726X
  • 电子版ISSN:2229-6727
  • 出版年度:2013
  • 卷号:4
  • 期号:2
  • DOI:10.5121/acij.2013.4201
  • 出版社:Academy & Industry Research Collaboration Center (AIRCC)
  • 摘要:In this paper we study the problem of mining support counts using symmetric-key crypto which is more efficient than previous work. Consider a scenario that each user has an option (like or unlike) of the specified product, and a third party wants to obtain the popularity of this product. We design a much more efficient privacy-preserving scheme for users to prevent the loss of the personal interests. Unlike most previous works, we do not use any exponential or modular algorithms, but we provide a symmetric-key based method which can also protect the information. Specifically, our protocol uses a third party that generates a number of matrixes as each user’s key. Then user uses these key to encrypt their data which is more efficient to obtain the support counts of a given pattern.
  • 关键词:Privacy-Preserving; Symmetric-key encryption; Support Counts
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