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

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1 Author(s)
Wei-Chi Ku ; Dept. of Comput. Sci. & Inf. Eng., Fu Jen Catholic Univ., Taipei, Taiwan

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.

Published in:

IEEE Transactions on Neural Networks  (Volume:16 ,  Issue: 4 )