Abstract
A combined hash and encryption scheme by chaotic neural network is proposed. With random chaotic sequences, the weights of neural network are distributed and the permutation matrix P is generated. The nonlinear and parallel computing properties of neural network are utilized to process hash and encryption in a combined mode. In-depth analyses of the performance indicate that the scheme is efficient, practicable and reliable, with high potential to be generalized.
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© 2004 Springer-Verlag Berlin Heidelberg
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Xiao, D., Liao, X. (2004). A Combined Hash and Encryption Scheme by Chaotic Neural Network. In: Yin, FL., Wang, J., Guo, C. (eds) Advances in Neural Networks - ISNN 2004. ISNN 2004. Lecture Notes in Computer Science, vol 3174. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-28648-6_101
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DOI: https://doi.org/10.1007/978-3-540-28648-6_101
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-22843-1
Online ISBN: 978-3-540-28648-6
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