• DocumentCode
    2401342
  • Title

    A Secure Scheme for Data Statistics

  • Author

    Huang Hongsheng ; Hong, Zhong ; Runhua, Shi

  • Author_Institution
    Key Lab. of Intell. Comput. & Signal Process., Anhui Univ., Hefei, China
  • fYear
    2010
  • fDate
    7-9 May 2010
  • Firstpage
    1289
  • Lastpage
    1291
  • Abstract
    Secure Multi-party Computation (SMC) is a hot point concerning with information security and it is widely used in many fields, such as e-voting, e-auction and e-payment systems et al. This paper mainly discusses a special issue, data statistics, of SMC and its practical application background. Based on the oblivious transfer protocol and the homomorphic encryption scheme, a solution scheme is proposed. Furthermore, the security and the computational complexity of this scheme are as well analyzed. The results of analysis show that the proposed scheme is secure and efficient.
  • Keywords
    cryptography; data statistics; homomorphic encryption; information security; oblivious transfer protocol; secure multi-party computation; Complexity theory; Computers; Databases; Encryption; Protocols; Homomorphic Encryption; Oblivious Transfer; Secure Multi-party Computation; Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    E-Business and E-Government (ICEE), 2010 International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-0-7695-3997-3
  • Type

    conf

  • DOI
    10.1109/ICEE.2010.329
  • Filename
    5590906