IEEE Spectrum
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
Code red worm propagation modeling and analysis
Proceedings of the 9th ACM conference on Computer and communications security
Structural and algorithmic aspects of massive social networks
SODA '04 Proceedings of the fifteenth annual ACM-SIAM symposium on Discrete algorithms
Modeling epidemic spreading in mobile environments
Proceedings of the 4th ACM workshop on Wireless security
A preliminary investigation of worm infections in a bluetooth environment
Proceedings of the 4th ACM workshop on Recurring malcode
Bluetooth Worms: Models, Dynamics, and Defense Implications
ACSAC '06 Proceedings of the 22nd Annual Computer Security Applications Conference
Bluetooth worm propagation: mobility pattern matters!
ASIACCS '07 Proceedings of the 2nd ACM symposium on Information, computer and communications security
Modeling Propagation Dynamics of Bluetooth Worms
ICDCS '07 Proceedings of the 27th International Conference on Distributed Computing Systems
Can you infect me now?: malware propagation in mobile phone networks
Proceedings of the 2007 ACM workshop on Recurring malcode
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
From biological and social network metaphors to coupled bio-social wireless networks
International Journal of Autonomous and Adaptive Communications Systems
Why mobile-to-mobile wireless malware won't cause a storm
LEET'11 Proceedings of the 4th USENIX conference on Large-scale exploits and emergent threats
Winter Simulation Conference
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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.