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The stability of a worm propagation model with nonlinear incidence rate on complex networks

机译:复杂网络下具有非线性发生率的蠕虫传播模型的稳定性。

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There has been a constant barrage of worms over the internet during the recent past. In order to develop appropriate tools for thwarting quick spread of worms, researchers are trying to understand the behavior of the worm propagation with the aid of epidemiological models. In this study, A SIQRS (susceptible-infected-quarantined-removed-susceptible) model with nonlinear incidence rate for the worm propagation on complex networks is presented. Using the mean field theory and the Lyapunov stability theory, the existence of the threshold and how the threshold of this model is concerned with the topology of networks is analyzed, the conditions to the existence of the disease-free equilibrium is established, and globally asymptotically stable of the disease-free equilibrium is studied. We have also analyzed the effect of quarantine on infected nodes in this paper.
机译:在最近的过去,互联网上一直有蠕虫不断涌动。为了开发适当的工具来阻止蠕虫的快速传播,研究人员正试图借助流行病学模型来了解蠕虫的传播行为。在这项研究中,提出了具有非线性发生率的SIQRS(易感感染隔离隔离去除易感性)模型,用于蠕虫在复杂网络上的传播。利用均值场理论和李雅普诺夫稳定性理论,分析了阈值的存在以及该模型的阈值与网络拓扑结构的关系,建立了无病平衡存在的条件,并全局渐近地研究了无病平衡的稳定性。我们还分析了隔离对感染节点的影响。

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