• DocumentCode
    3437711
  • Title

    A novel random number generator based on continuous-time chaos

  • Author

    Yu, Weizhong ; Bai, Guoqiang

  • Author_Institution
    Inst. of Microelectron., Tsinghua Univ., Beijing, China
  • fYear
    2010
  • fDate
    24-26 Sept. 2010
  • Firstpage
    1052
  • Lastpage
    1055
  • Abstract
    In this paper, a novel random number generator using continuous-time chaos is described. Lorenz attractor is used to generate the combined fast sequence. The required symbol sequence is obtained from the original sequence which can easily be realized. The final random bit sequence is generated from the flip sample model using symbol sequence. Security analysis shows that the new arithmetic perfectly resists chosen plaintext attack and low precision with perturbation. The scheme is demonstrated to be secure and efficient against the commonly known attacks. The level of the randomness of the obtained bit sequence is tested by NIST-800-22. And the 0-1 sequence is proved to be high complexity and good cipher quality. The results of the test confirmed that the generated bit sequences do not show any nonrandom behavior.
  • Keywords
    chaos; continuous time systems; cryptography; random number generation; random sequences; Lorenz attractor; cipher quality; continuous time chaos; fast sequence; random number generator; security analysis; symbol sequence; Chaos; Correlation; Encryption; Generators; Nonlinear dynamical systems; Lorenz attractor; random number generator; symbol sequence;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Infrastructure and Digital Content, 2010 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-6851-5
  • Type

    conf

  • DOI
    10.1109/ICNIDC.2010.5657957
  • Filename
    5657957