Code red worm propagation modeling and analysis
Proceedings of the 9th ACM conference on Computer and communications security
The monitoring and early detection of internet worms
IEEE/ACM Transactions on Networking (TON)
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Epidemic and stochastic models have been employed for describing the dynamic behavior of malware outbreaks. However, most of them lack a holistic treatment of the problem. In this work, we model malware propagation as a Markov Random Field and employ Gibbs sampling for the analysis of the system. We demonstrate the proposed framework for the case of a chain network, a model often emerging in both wired and wireless multi-hop networks.