Smooth is better than sharp: a random mobility model for simulation of wireless networks
MSWIM '01 Proceedings of the 4th ACM international workshop on Modeling, analysis and simulation of wireless and mobile systems
Bluetooth: Connect Without Cables
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Recent advances in mobility modeling for mobile ad hoc network research
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A Topologically-Aware Worm Propagation Model for Wireless Sensor Networks
ICDCSW '05 Proceedings of the Second International Workshop on Security in Distributed Computing Systems (SDCS) (ICDCSW'05) - Volume 02
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LEET'11 Proceedings of the 4th USENIX conference on Large-scale exploits and emergent threats
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NETWORKING'11 Proceedings of the 10th international IFIP TC 6 conference on Networking - Volume Part I
Modified SIS epidemic model for analysis of virus spread in wireless sensor networks
International Journal of Wireless and Mobile Computing
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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.