• DocumentCode
    3177454
  • Title

    Smartphone viruses propagation on heterogeneous composite networks

  • Author

    Xuetao Wei ; Valler, Nicholas C. ; Faloutsos, Michalis ; Neamtiu, Iulian ; Prakash, B. Aditya ; Faloutsos, Christos

  • fYear
    2013
  • fDate
    April 29 2013-May 1 2013
  • Firstpage
    106
  • Lastpage
    109
  • Abstract
    Smartphones are now targets of malicious viruses. Furthermore, the increasing “connectedness” of smartphones has resulted in new delivery vectors for malicious viruses, including proximity-, social- and other technology-based methods. In fact, Cabir and CommWarrior are two viruses-observed in the wild-that spread, at least in part, using proximity-based techniques (line-of-sight bluetooth radio). In this paper, we propose and evaluate SI1I2S a competition model that describes the spread of two mutually exclusive viruses across heterogeneous composite networks, one static (social connections) and one dynamic (mobility pattern). To approximate dynamic network behavior, we use classic mobility models from ad hoc networking, e.g., Random Waypoint, Random Walk and Levy Flight. We analyze our model using techniques from dynamic systems and find that the first eigenvalue of the system matrices λs1, λs2 of the two networks (static and dynamic networks) appropriately captures the competitive interplay between two viruses and effectively predicts the competition´s “winner”, which provides a feasible way to defend against smartphone viruses.
  • Keywords
    Bluetooth; ad hoc networks; computer viruses; eigenvalues and eigenfunctions; matrix algebra; mobile computing; random processes; smart phones; social networking (online); Cabir; CommWarrior; SI1I2S evaluation; ad hoc networking; classic mobility models; competition model; delivery vectors; dynamic mobility pattern; dynamic network behavior; eigenvalue; heterogeneous composite networks; levy flight; line-of-sight bluetooth radio; malicious viruses; proximity-based techniques; random walk; random waypoint; smartphone virus propagation; social-based method; static social connections; system matrices; technology-based method; Analytical models; Eigenvalues and eigenfunctions; Malware; Mathematical model; Mobile communication; Vectors; Viruses (medical); Competition; Epidemics; Mobile Networks; Social Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Network Science Workshop (NSW), 2013 IEEE 2nd
  • Conference_Location
    West Point, NY
  • Print_ISBN
    978-1-4799-0436-5
  • Type

    conf

  • DOI
    10.1109/NSW.2013.6609203
  • Filename
    6609203