Weaknesses and drawbacks of a password authentication scheme using neural networks for multiserver architecture.
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.
Ku
Wei-Chi
WC
D000465:Algorithms; D016494:Computer Security; D003198:Computer Simulation; D015233:Models, Statistical; D016571:Neural Networks, Computer