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文章基本信息

  • 标题:Privacy Preserving Inner Product of Vectors in Cloud Computing
  • 本地全文:下载
  • 作者:Gang Sheng ; Tao Wen ; Quan Guo
  • 期刊名称:International Journal of Distributed Sensor Networks
  • 印刷版ISSN:1550-1329
  • 电子版ISSN:1550-1477
  • 出版年度:2014
  • 卷号:2014
  • DOI:10.1155/2014/537252
  • 出版社:Hindawi Publishing Corporation
  • 摘要:The problem of privacy preserving inner product of vectors has been widely studied. Much work has been done on the scenario of two parties involved in the computation. In this paper, we consider the scenario where three parties are involved in the computing process of cloud computing. We propose a new privacy preserving scheme for inner product of two vectors in the cloud and give the correctness analysis and performance analysis for the scheme. The proposed scheme is based on homomorphic encryption, and the security can be guaranteed. Experiments show the efficiency of the scheme.
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