• DocumentCode
    2611435
  • Title

    Towards Understanding Dynamics of Mobile Phone Worm Propagation Using Social Network Analysis

  • Author

    Wei, Qiang ; Ren, Ming ; Chen, Guoqing

  • Author_Institution
    Dept. of Manage. Sci. & Eng., Tsinghua Univ., Beijing, China
  • fYear
    2009
  • fDate
    27-28 June 2009
  • Firstpage
    290
  • Lastpage
    295
  • Abstract
    These years have witnessed the growing impact of worms that target mobile phones, which attracts more and more research interests and applicable focuses. Traditionally, SI model is used to analyze the dynamics of the worm propagation, which adopts the ldquorandom surferrdquo hypothesis. However, the contact social network of a mobile phone population is static and fixed in a short propagation period, which means the traditional SI model will overestimate the worm propagation dynamics. This paper will explore the dynamics of SI model based on a static contact network using social network analysis method. Theoretic analysis and simulated experiments show that the traditional SI model overestimates worm propagation dynamics even in the worst contact network structure.
  • Keywords
    invasive software; mobile handsets; social networking (online); telecommunication computing; telecommunication security; contact network structure; mobile phone worm propagation; social network analysis; static contact network; susceptible-infectious model; Analytical models; Computer hacking; Computer networks; Computer viruses; Computer worms; Conference management; Engineering management; Invasive software; Mobile handsets; Social network services; SI model; social network; worm propagation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mobile Business, 2009. ICMB 2009. Eighth International Conference on
  • Conference_Location
    Dalian
  • Print_ISBN
    978-0-7695-3691-0
  • Type

    conf

  • DOI
    10.1109/ICMB.2009.56
  • Filename
    5169274