Code red worm propagation modeling and analysis
Proceedings of the 9th ACM conference on Computer and communications security
How to Own the Internet in Your Spare Time
Proceedings of the 11th USENIX Security Symposium
Worm propagation modeling and analysis under dynamic quarantine defense
Proceedings of the 2003 ACM workshop on Rapid malcode
LifeBelt: Silent Directional Guidance for Crowd Evacuation
ISWC '09 Proceedings of the 2009 International Symposium on Wearable Computers
| Hi-index | 0.00 |
We present an example of the use of analytical models to predict global properties of large-scale information technology systems from the parameters of simple local interactions. The example is intended as a first step towards using complex systems modeling methods to control self-organization in organic systems. It is motivated by a concrete application scenario of information distribution in emergency situations, but is relevant to other domains such as malware spread or social interactions. Specifically, we show how the spread of information through ad-hoc interactions between mobile devices depends on simple local interaction rules and parameters such as user mobility and physical interaction range. We show how three qualitatively different regimes of information ‘infection rate' can be analytically derived and validate our model in extensive simulations.