Noisy Mean Eld Game Model for Malware Propagation in Opportunistic Networks
In this paper, the authors present analytical mean field techniques that can be used to better understand the behavior of malware propagation in opportunistic large networks. They develop a modeling methodology based on stochastic mean field optimal control that is able to capture many aspects of the problem, especially the impact of the control and heterogeneity of the system on the spreading characteristics of malware. The stochastic large process characterizing the evolution of the total number of infected nodes is examined with a noisy mean field limit and compared to a deterministic one. The stochastic nature of the wireless environment make stochastic approaches more realistic for such types of networks.