• DocumentCode
    1843506
  • Title

    Research on TCP Initial Sequence Number Prediction Method Based on Adding-weight Chaotic Time Series

  • Author

    Zeng, Fanping ; Yin, Kaitao ; Chen, Minghui

  • Author_Institution
    Dept. of Comput. Sci., Univ. of Sci. & Technol. of China, Hefei
  • fYear
    2008
  • fDate
    18-21 Nov. 2008
  • Firstpage
    1511
  • Lastpage
    1515
  • Abstract
    Initiating TCP sequence number spoofing through predicting TCP initial sequence number has become a hidden trouble on TCP protocol. There are a variety of TCP ISN prediction methods. Based on the analysis of pseudo-random distribution of ISN in TCP protocol stack, this paper brings chaotic adding-weight dynamic local predict model in TCP ISN prediction by setting up the weights of the neighboring phase point in chaos time series. The experiment results indicate that the predict algorithm has a high predict accuracy, and the method also increases the feasibility of TCP reset attack.
  • Keywords
    statistical distributions; telecommunication security; time series; transport protocols; TCP initial sequence number prediction method; TCP protocol stack; TCP sequence number spoofing; adding-weight chaotic time series; neighboring phase point; pseudo-random distribution; Accuracy; Chaos; Chaotic communication; Internet; Prediction algorithms; Prediction methods; Predictive models; Protocols; Space technology; Time series analysis; Adding-weight Chaotic Time Series; Prediction; TCP initial sequence number; spoofing;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Young Computer Scientists, 2008. ICYCS 2008. The 9th International Conference for
  • Conference_Location
    Hunan
  • Print_ISBN
    978-0-7695-3398-8
  • Electronic_ISBN
    978-0-7695-3398-8
  • Type

    conf

  • DOI
    10.1109/ICYCS.2008.267
  • Filename
    4709197