Abstract
In this paper, based on cellular automata, two models of malware propagation are proposed to evaluate the probabilistic behavior of malware propagation in complex networks. The proposed models can be applied to all kinds of topological networks, such as exponential networks and power law networks and can describe effectively the spatial-temporal process of malware propagation. Through the analysis and simulations, we obtain some useful results, which can better understand malware propagation and develop effective countermeasures in complex networks.
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