Abstract
Recently, Li et al. proposed a password authentication scheme based on a neural network in a multi-server environment. The scheme, however, is susceptible to off-line password guessing attacks. Accordingly, this paper will demonstrate the vulnerability of Li et al.’s scheme regarding off-line password guessing attacks, and then present an improvement to isolate such problems. The proposed scheme can withstand off-line password guessing attacks, and also provide mutual authentication.
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Yoon, EJ., Yoo, KY. (2005). New Multi-server Password Authentication Scheme Using Neural Networks. In: Wang, L., Chen, K., Ong, Y.S. (eds) Advances in Natural Computation. ICNC 2005. Lecture Notes in Computer Science, vol 3611. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11539117_74
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DOI: https://doi.org/10.1007/11539117_74
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-28325-6
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