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International Symposium on Neural Networks

ISNN 2005: Advances in Neural Networks – ISNN 2005 pp 624–629Cite as

Improving Ability of Passive Attacks of Chaotic Encryption by Using Neural Network

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3497))

Abstract

Chaotic encryption have been widely studied and applied in cryptology field because its good randomicity and sensitivity to initial value. But nowadays it can’t effectively defend passive attacks from outer world under development of hi-tech. Neural network be used into chaotic algorithm for its mnemonic function and self-study function can improve anti-passive-attacks ability of chaotic security system. This method can change length of secret-key at will also, which made the security system more flexible and practical.

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References

  1. Jakimoski, G., Kocarev, L.: Chaos, Cryptography: Block Encryption Ciphers Based on Chaotic Maps. Circuits and Systems – I: Fundamental Theory and Applications 2, 163–169 (2001)

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Author information

Authors and Affiliations

  1. Automation College, Chongqing University, Chongqing, 400044, China

    Xin Yang, Xiyue Huang & Hanmin Huang

Authors
  1. Xin Yang
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  2. Xiyue Huang
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  3. Hanmin Huang
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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. The Key Laboratory of Optoelectric Technology & Systems, Ministry of Education, China

    Xiao-Feng Liao

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

    Zhang Yi

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© 2005 Springer-Verlag Berlin Heidelberg

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Cite this paper

Yang, X., Huang, X., Huang, H. (2005). Improving Ability of Passive Attacks of Chaotic Encryption by Using Neural Network. In: Wang, J., Liao, XF., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3497. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427445_102

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  • DOI: https://doi.org/10.1007/11427445_102

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25913-8

  • Online ISBN: 978-3-540-32067-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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