• DocumentCode
    2323657
  • Title

    Modeling malware propagation in complex networks based on cellular automata

  • Author

    Song, Yurong ; Jiang, Guo-Ping ; Gu, Yiran

  • Author_Institution
    Center for Control & Intell. Technol., Nanjing Univ. of Posts & Telecommun., Nanjing
  • fYear
    2008
  • fDate
    Nov. 30 2008-Dec. 3 2008
  • Firstpage
    259
  • Lastpage
    263
  • Abstract
    In this paper, based on cellular automata, two models of malware propagation are proposed to evaluate the probabilistic behavior of malware propagation in complex networks. The proposed models can be applied to all kinds of topological networks, such as exponential networks and power law networks and can describe effectively the spatial-temporal process of malware propagation. Through the analysis and simulations, we obtain some useful results, which can better understand malware propagation and develop effective countermeasures in complex networks.
  • Keywords
    cellular automata; complex networks; invasive software; probability; cellular automata; complex networks; exponential networks; malware propagation; power law networks; probabilistic behavior; topological networks; Automatic control; Biological system modeling; Complex networks; Computer viruses; Computer worms; Intelligent control; Intelligent networks; Mathematical model; Stochastic processes; Telecommunication control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Circuits and Systems, 2008. APCCAS 2008. IEEE Asia Pacific Conference on
  • Conference_Location
    Macao
  • Print_ISBN
    978-1-4244-2341-5
  • Electronic_ISBN
    978-1-4244-2342-2
  • Type

    conf

  • DOI
    10.1109/APCCAS.2008.4746009
  • Filename
    4746009