Bluetooth worm propagation: mobility pattern matters!

  • Authors:
  • Guanhua Yan;Hector D. Flores;Leticia Cuellar;Nicolas Hengartner;Stephan Eidenbenz;Vincent Vu

  • Affiliations:
  • Los Alamos National Laboratory;Rice University;Los Alamos National Laboratory;Los Alamos National Laboratory;Los Alamos National Laboratory;University of California, Berkeley

  • Venue:
  • ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
  • Year:
  • 2007

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Abstract

The alarm that worms start to spread on increasingly popular mobile devices calls for an in-depth investigation of their propagation dynamics. In this paper, we study how mobility patterns affect Bluetooth worm spreading speeds. We find that the impact of mobility patterns is substantial over a large set of of changing Bluetooth and worm parameters. For instance, a mobility model under which devices move among a fixed set of activity locations can result in worm propagation speeds four times faster than a classical mobility model such as the random walk model. Our investigation reveals that the key factors affecting Bluetooth worm propagation speeds include spatial distributions of nodes, link duration distributions, degrees to which devices are mixed together, and even the burstiness of successive links.