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Enhanced smartcard-based password-authenticated key agreement using extended chaotic maps

Author

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  • Tian-Fu Lee
  • Chia-Hung Hsiao
  • Shi-Han Hwang
  • Tsung-Hung Lin

Abstract

A smartcard based password-authenticated key agreement scheme enables a legal user to log in to a remote authentication server and access remote services through public networks using a weak password and a smart card. Lin recently presented an improved chaotic maps-based password-authenticated key agreement scheme that used smartcards to eliminate the weaknesses of the scheme of Guo and Chang, which does not provide strong user anonymity and violates session key security. However, the improved scheme of Lin does not exhibit the freshness property and the validity of messages so it still fails to withstand denial-of-service and privileged-insider attacks. Additionally, a single malicious participant can predetermine the session key such that the improved scheme does not exhibit the contributory property of key agreements. This investigation discusses these weaknesses and proposes an enhanced smartcard-based password-authenticated key agreement scheme that utilizes extended chaotic maps. The session security of this enhanced scheme is based on the extended chaotic map-based Diffie-Hellman problem, and is proven in the real-or-random and the sequence of games models. Moreover, the enhanced scheme ensures the freshness of communicating messages by appending timestamps, and thereby avoids the weaknesses in previous schemes.

Suggested Citation

  • Tian-Fu Lee & Chia-Hung Hsiao & Shi-Han Hwang & Tsung-Hung Lin, 2017. "Enhanced smartcard-based password-authenticated key agreement using extended chaotic maps," PLOS ONE, Public Library of Science, vol. 12(7), pages 1-20, July.
  • Handle: RePEc:plo:pone00:0181744
    DOI: 10.1371/journal.pone.0181744
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    Cited by:

    1. Yan Zhao & Shiming Li & Liehui Jiang & Tieming Liu, 2019. "Security-enhanced three-factor remote user authentication scheme based on Chebyshev chaotic maps," International Journal of Distributed Sensor Networks, , vol. 15(4), pages 15501477198, April.

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