A Novel Approach for Authenticating Textual or Graphical Passwords Using Hopfield Neural Network
Cryptography and Security
2012-07-07 v1 Neural and Evolutionary Computing
Abstract
Password authentication using Hopfield Networks is presented in this paper. In this paper we discussed the Hopfield Network Scheme for Textual and graphical passwords, for which input Password will be converted in to probabilistic values. We observed how to get password authentication using Probabilistic values for Textual passwords and Graphical passwords. This study proposes the use of a Hopfield neural network technique for password authentication. In comparison to existing layered neural network techniques, the proposed method provides better accuracy and quicker response time to registration and password changes.
Keywords
Cite
@article{arxiv.1108.1434,
title = {A Novel Approach for Authenticating Textual or Graphical Passwords Using Hopfield Neural Network},
author = {ASN Chakravarthy and P S Avadhani and P. E. S. N Krishna Prasad and N. Rajeevand and D. Rajasekhar Reddy},
journal= {arXiv preprint arXiv:1108.1434},
year = {2012}
}
Comments
14 pages, 18 figures, published in Advanced Computing: An International Journal (ACIJ)