• DocumentCode
    3314688
  • Title

    Stability analysis of worm propagation dynamics based on quarantine

  • Author

    Junhua, Chen ; Shengjun, Wei

  • Author_Institution
    Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
  • fYear
    2009
  • fDate
    8-11 Aug. 2009
  • Firstpage
    380
  • Lastpage
    384
  • Abstract
    In recent years, there has been a constant barrage of worms over the Internet. To develop appropriate tools for thwarting quick spread of worms, researchers are trying to understand the behavior of the worm propagation with the aid of epidemiological models. In this paper, two improvements of classical SIS (susceptible-infectious-susceptible) and SIR (susceptible-infectious-recovered) models with quarantine strategy are presented; the thresholds and equilibriums of appearance of worm endemic for these two dynamic models are found, furthermore, their stability is analyzed in detail, the numerical simulations confirmed well the theoretical results. So our study can provide insight into taking effective measures to prevent and control the spread of worm in the network.
  • Keywords
    Internet; invasive software; telecommunication security; Internet worm propagation dynamics; epidemiological model; network worm; stability analysis; susceptible-infectious-recovered model; susceptible-infectious-susceptible model; worm quarantine strategy; Automatic control; Biological system modeling; Computer networks; Computer science; Computer worms; Diseases; IP networks; Immune system; Mathematical model; Stability analysis; quarantine; stability; threshold; worm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Science and Information Technology, 2009. ICCSIT 2009. 2nd IEEE International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-4519-6
  • Electronic_ISBN
    978-1-4244-4520-2
  • Type

    conf

  • DOI
    10.1109/ICCSIT.2009.5234704
  • Filename
    5234704