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文章基本信息

  • 标题:An Efficient Chaotic Map-Based Authentication Scheme with Mutual Anonymity
  • 本地全文:下载
  • 作者:Yousheng Zhou ; Junfeng Zhou ; Feng Wang
  • 期刊名称:Applied Computational Intelligence and Soft Computing
  • 印刷版ISSN:1687-9724
  • 电子版ISSN:1687-9732
  • 出版年度:2016
  • 卷号:2016
  • DOI:10.1155/2016/3916942
  • 出版社:Hindawi Publishing Corporation
  • 摘要:A chaotic map-based mutual authentication scheme with strong anonymity is proposed in this paper, in which the real identity of the user is encrypted with a shared key between the user and the trusted server. Only the trusted server can determine the real identity of a user during the authentication, and any other entities including other users of the system get nothing about the user’s real identity. In addition, the shared key of encryption can be easily computed by the user and trusted server using the Chebyshev map without additional burdensome key management. Once the partnered two users are authenticated by the trusted server, they can easily proceed with the agreement of the session key. Formal security analysis demonstrates that the proposed scheme is secure under the random oracle model.
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