• DocumentCode
    1637239
  • Title

    The Improvement of Public Key Cryptography Based on Chaotic Neural Networks

  • Author

    Zhang, Yunpeng ; Xue, Tongtong ; Zhai, Zhengjun ; Chunyan Ma ; Cai, Xiaobin

  • Author_Institution
    Coll. of Software & Microelectron., Northwestern Polytech. Univ., Xian
  • Volume
    3
  • fYear
    2008
  • Firstpage
    326
  • Lastpage
    330
  • Abstract
    This paper provides compendious analysis from the aspect of choosing neural network. By adopting a kind of hybrid-coding and chaotic map, the modified algorithm performs better result on avalanche test. The result from the test on avalanche, cipher-text balance and independence indicates that the modified algorithm performs much better on resisting decryption.
  • Keywords
    encoding; neural nets; public key cryptography; avalanche test; chaotic map; chaotic neural networks; cipher-text balance; hybrid-coding; public key cryptography; Algorithm design and analysis; Biological neural networks; Chaos; Chaotic communication; Educational institutions; Matrix decomposition; Neural networks; Public key; Public key cryptography; Testing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
  • Conference_Location
    Kaohsiung
  • Print_ISBN
    978-0-7695-3382-7
  • Type

    conf

  • DOI
    10.1109/ISDA.2008.267
  • Filename
    4696484