• DocumentCode
    1760662
  • Title

    Stability and Immunization Analysis of a Malware Spread Model Over Scale-Free Networks

  • Author

    Dadlani, Aresh ; Kumar, M. Senthil ; Kiseon Kim ; Sohraby, K.

  • Author_Institution
    Dept. of Nanobio Mater. & Electron., Gwangju Inst. of Sci. & Technol., Gwangju, South Korea
  • Volume
    18
  • Issue
    11
  • fYear
    2014
  • fDate
    Nov. 2014
  • Firstpage
    1907
  • Lastpage
    1910
  • Abstract
    The spreading dynamics and control of infectious agents primarily depend on the connectivity properties of underlying networks. Here, we investigate the stability of a susceptible- infected-susceptible epidemic model incorporated with multiple infection stages and propagation vectors to mimic malware behavior over scale-free communication networks. In particular, we derive the basic reproductive ratio (R0) and provide results for stability analysis at infection-free and infection-chronic equilibrium points. Based on R0, the effectiveness of four prevailing immunization strategies as countermeasures is studied and compared. The outperformance of proportional and targeted immunization is justified via numerical results.
  • Keywords
    computer crime; invasive software; R0; connectivity properties; immunization analysis; immunization strategies; infection stages; infection-chronic equilibrium points; infection-free equilibrium points; infectious agents control; malware behavior; malware spread model; propagation vectors; proportional immunization; reproductive ratio; scale-free communication networks; spreading dynamics; stability analysis; susceptible- infected-susceptible epidemic model; targeted immunization; Analytical models; Computational modeling; Malware; Mathematical model; Numerical models; Stability analysis; Vectors; Malware modeling; basic reproductive ratio; epidemiology; immunization; scale-free network; stability analysis; stability analysis,;
  • fLanguage
    English
  • Journal_Title
    Communications Letters, IEEE
  • Publisher
    ieee
  • ISSN
    1089-7798
  • Type

    jour

  • DOI
    10.1109/LCOMM.2014.2361525
  • Filename
    6915859