Weaknesses and drawbacks of a password authentication scheme using neural networks for multiserver architecture

  • Authors:
  • Wei-Chi Ku

  • Affiliations:
  • Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan

  • Venue:
  • IEEE Transactions on Neural Networks
  • Year:
  • 2005

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Abstract

In 2001, Li et al. proposed a password authentication scheme for the multiserver architecture by using a pattern classification system based on neural networks. Herein, we demonstrate that Li et al.'s scheme is vulnerable to an offline password guessing attack and a privileged insider's attack, and is not reparable. Additionally, we show that Li et al.'s scheme has several drawbacks in practice.