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Construction of the encryption matrix based on Chebyshev chaotic neural networks

  • Published:
Journal of Electronics (China)

Abstract

The paper proposes a novel algorithm to get the encryption matrix. Firstly, a chaotic sequence generated by Chebyshev chaotic neural networks is converted into a series of low-order integer matrices from which available encryption matrices are selected. Then, a higher order encryption matrix relating real world application is constructed by means of tensor production method based on selected encryption matrices. The results show that the proposed algorithm can produce a “one-time pad cipher” encryption matrix with high security; and the encryption results have good chaos and autocorrelation with the natural frequency of the plaintext being hidden and homogenized.

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Author information

Authors and Affiliations

  1. Information College, Guangdong Ocean University, Zhanjiang, 524088, China

    Ajin Zou & Yongjiang Li

  2. Biomedical Engineering Department, Wenzhou Medical University, Wenzhou, 325000, China

    Wei Wu

  3. Department of Computer and Communication, Hunan University, Changsha, 410012, China

    Renfa Li

  4. College of Information, Guangdong Ocean University, Zhanjiang, 524088, China

    Yongjiang Li

Authors
  1. Ajin Zou
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  2. Wei Wu
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  3. Renfa Li
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  4. Yongjiang Li
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Corresponding author

Correspondence to Yongjiang Li.

Additional information

Supported by the National Natural Science Foundation of China (No. 61173036).

Communication author: Li Yongjiang, born in 1967, male, Ph.D., Associate Professor.

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Cite this article

Zou, A., Wu, W., Li, R. et al. Construction of the encryption matrix based on Chebyshev chaotic neural networks. J. Electron.(China) 29, 248–253 (2012). https://doi.org/10.1007/s11767-012-0796-9

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  • DOI: https://doi.org/10.1007/s11767-012-0796-9

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