• DocumentCode
    685034
  • Title

    Statistical analysis of chaotic stochastic properties based on the logistic map and Fibonacci sequence

  • Author

    Dahua Song ; Jiahui Liu ; Fang Wang

  • Author_Institution
    Center of Educ. Technol. & Inf., Mudanjiang Med. Univ., Mudanjiang, China
  • Volume
    01
  • fYear
    2013
  • fDate
    16-18 Aug. 2013
  • Firstpage
    611
  • Lastpage
    614
  • Abstract
    The chaotic cryptosystems are widely researched in the scientific and technical fields. But the dynamical degradation is a hindrance to digital chaotic maps. In this paper, we present a detailed statistical analysis of the mixed chaotic series based on the logistic map and Fibonacci sequence, which convert the value of the logistic map into the integer number by Fibonacci sequence. The experimental results show that the mixed chaotic series have the desired dynamics and randomness with the range of (0, 256). It is the prevention and remedy to the dynamical degradation of chaotic maps. It can be applied to the chaotic cryptosystems and security communications.
  • Keywords
    Fibonacci sequences; chaotic communication; cryptography; number theory; statistical analysis; stochastic processes; telecommunication security; Fibonacci sequence; chaotic cryptosystems; chaotic stochastic properties; digital chaotic map dynamical degradation; integer number; logistic map; mixed chaotic series; scientific fields; security communications; statistical analysis; technical fields; Encryption; Fibonacci sequence; chaotic sequence; dynamical degradation; logistic map; stochastic property;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measurement, Information and Control (ICMIC), 2013 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4799-1390-9
  • Type

    conf

  • DOI
    10.1109/MIC.2013.6758038
  • Filename
    6758038