Smartphone viruses propagation on heterogeneous composite networks

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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

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 SI 1I2S 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.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013
Pages106-109
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event2013 IEEE 2nd International Network Science Workshop, NSW 2013 - West Point, NY, United States
Duration: Apr 29 2013May 1 2013

Publication series

NameProceedings of the 2013 IEEE 2nd International Network Science Workshop, NSW 2013

Other

Other2013 IEEE 2nd International Network Science Workshop, NSW 2013
CountryUnited States
CityWest Point, NY
Period4/29/135/1/13

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications

Keywords

  • Competition
  • Epidemics
  • Mobile Networks
  • Social Networks

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