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A Novel Cryptographic Scheme Based on Wavelet Neural Networks

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Advances in Neural Networks - ISNN 2006 (ISNN 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3973))

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Abstract

A novel method for encryption based on a wavelet neural network (WNN) is presented. The WNN is trained by a heuristic algorithm and can generate a random sequence which is used for encrypting and decrypting. Furthermore, some simulated experiments, including key space analysis, key sensitivity test, statistical analysis, are performed to substantiate that our scheme can make cipher-text more confusion and diffusion and that the method can resist several attacks, effectively.

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References

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Author information

Authors and Affiliations

  1. Department of Modern Educational Technology, Chongqing Normal University, Chongqing, 400047, China

    Guo Chen

  2. Department of Computer Science and Engineering, Chongqing University, Chongqing, 400044, China

    Feng Tan

  3. Department of Mathematics and Computer Science, Chongqing Normal University, Chongqing, 400047, China

    Degang Yang

Authors
  1. Guo Chen
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  2. Feng Tan
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  3. Degang Yang
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Editor information

Editors and Affiliations

  1. Department of Mechanical and Automation Engineering, The Chinese University of Hong Kong, Shatin, New Territories, Hong Kong, China

    Jun Wang

  2. Computational Intelligence Laboratory, School of Computer Science and Engineering, University of Electronic Science and Technology of China, 610054, Chengdu, P.R. China

    Zhang Yi

  3. Department of Electrical Engineering, University of Louisville, 40292, Louisville, KY, U.S.A

    Jacek M. Zurada

  4. Laboratory for Computational Biology, Shanghai Center for Systems Biomedicine, 800 Dong Chuan Rd, 200240, Shanghai, China

    Bao-Liang Lu

  5. School of Electrical and Electronic Engineering, University of Manchester, UK

    Hujun Yin

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Chen, G., Tan, F., Yang, D. (2006). A Novel Cryptographic Scheme Based on Wavelet Neural Networks. In: Wang, J., Yi, Z., Zurada, J.M., Lu, BL., Yin, H. (eds) Advances in Neural Networks - ISNN 2006. ISNN 2006. Lecture Notes in Computer Science, vol 3973. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11760191_48

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  • DOI: https://doi.org/10.1007/11760191_48

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-34482-7

  • Online ISBN: 978-3-540-34483-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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