Weakness a Remote Password Authentication Schemes for Multiserver Architecture Using Neural Networks

作者：Liu, Chenglian^*; Lin, Changlu; Harn, Lien; Chen, Shisheng

来源：Information-An International Interdisciplinary Journal, 2012, 15(11B): 4965-4970.

• l-wDH problem
• Baby step giant step
• algebraic structure defects
• forgery attack

In 2001, Li et al. proposed a remote password authentication scheme for multiserver architecture using neural network. However, Ku pointed out that Li et al.'s scheme is vulnerable to an offline password guessing attack a privileged insiders attack, and he also showed its scheme had several drawbacks in practice. In this paper, we demonstrate that Li et al.'s scheme exist l-wDH problem. Using Baby-Step Giant-Step, we can compute x PWiTi-Tj (mod p - 1) in O(log p.(root q/d)) polynomial time, it is therefore insecure and could not against forgery attack.

• 出版日期2012-11
• 单位福建师范大学