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International Symposium on Neural Networks

ISNN 2013: Advances in Neural Networks – ISNN 2013 pp 99–108Cite as

An Approach for Designing Neural Cryptography

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Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7951)

Abstract

Neural cryptography is widely considered as a novel method of exchanging secret key between two neural networks through mutual learning. This paper puts forward a generalized architecture to provide an approach to designing novel neural cryptography. Meanwhile, by taking an in-depth investigation on the security of neural cryptography, a heuristic rule is proposed. These results can effectively guide us to designing secure neural cryptography. Finally, an example is given to demonstrate the effectiveness of the proposed structure and the heuristic rule.

Keywords

  • Neural synchronization
  • Neural cryptography
  • Generalized architecture
  • Heuristic rule

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  • DOI: 10.1007/978-3-642-39065-4_13
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Author information

Authors and Affiliations

  1. College of Computer Science, Chongqing University, Chongqing, 400044, China

    Nankun Mu & Xiaofeng Liao

Authors
  1. Nankun Mu
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  2. Xiaofeng Liao
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Editor information

Editors and Affiliations

  1. School of Information and Communication Engineering, Dalian University of Technology, A 530, Chuangxinyuan Building, 116023, Dalian, China

    Chengan Guo

  2. Institute of Automation, Chinese Academy of Sciences, 100864, Beijing, China

    Zeng-Guang Hou

  3. School of Automation, Huazhong University of Science and Technology, 430074, Wuhan, China

    Zhigang Zeng

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Mu, N., Liao, X. (2013). An Approach for Designing Neural Cryptography. In: Guo, C., Hou, ZG., Zeng, Z. (eds) Advances in Neural Networks – ISNN 2013. ISNN 2013. Lecture Notes in Computer Science, vol 7951. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-39065-4_13

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  • DOI: https://doi.org/10.1007/978-3-642-39065-4_13

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-39064-7

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