Name
Abstract | ||
|---|---|---|
We describe a modeling framework to study the spread of malware over realistic wireless networks. We develop (i) methods for generating synthetic, yet realistic wireless networks using activity-based models of urban population mobility, and (ii) an interaction-based simulation framework to study the dynamics of worm propagation over wireless networks. We use the prototype framework to study how Bluetooth worms spread over realistic wireless networks. This required developing an abstract model of the Bluetooth worm and its within-host behavior. As an illustration of the applicability of our framework, and the utility of activity-based models, we compare the dynamics of Bluetooth worm epidemics over realistic wireless networks and networks generated using random waypoint mobility models. We show that realistic wireless networks exhibit very different structural properties. Importantly, these differences have significant qualitative effect on spatial as well as temporal dynamics of worm propagation. Our results also demonstrate the importance of early detection to control the epidemic. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.4108/ICST.SIMUTOOLS2009.5652 | SIMUTools |
Keywords | Field | DocType |
activity-based model,bluetooth worm,realistic wireless network,worm propagation,wireless network,modeling framework,interaction-based simulation framework,prototype framework,bluetooth worm epidemic,realistic wireless networks exhibit,malware,bluetooth | Early detection,Wireless network,Computer science,Computer network,Mobility model,Waypoint,Malware,Bluetooth | Conference |
Citations | PageRank | References |
18 | 0.96 | 10 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Karthik Channakeshava | 1 | 65 | 6.08 |
| Deepti Chafekar | 2 | 154 | 8.71 |
| Keith R. Bisset | 3 | 346 | 28.60 |
| Anil Kumar S. Vullikanti | 4 | 1135 | 98.30 |
| Madhav Marathe | 5 | 2775 | 262.17 |