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The Dynamical Modeling Analysis of the Spreading of Passive Worms in P2P Networks

机译:P2P网络中被动​​蠕虫传播的动力学建模分析

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Passive worms are prone to spreading through Peer-to-Peer networks, and they pose a great threat to the security of the network. In this paper, considering network heterogeneity and the number of hops a search can reach, we propose a novel mathematical model to study the dynamics of the propagation of passive worms. For the proposed model, the basic reproduction number is derived by employing the existence of the positive equilibrium. And the stabilities of the worm-free equilibrium and positive equilibrium are analyzed. Moreover, we verify the rationality of the model established by comparing the stochastic simulation with the numerical simulation. Finally, we examine the effect of the number of hops on the spread of passive worms and discuss the various immunization strategies. We find that if , the propagation speed of passive worms is accelerated with the increase of hop count ; if , the number of infected peers decreases rapidly with the increase of the value of and drops to zero eventually. Results show that the network topology and the number of hops can affect the spread of passive worms.
机译:被动蠕虫易于通过对等网络传播,并且对网络的安全性构成了巨大威胁。在本文中,考虑到网络的异构性和搜索可以达到的跳数,我们提出了一个新颖的数学模型来研究被动蠕虫的传播动力学。对于所提出的模型,通过利用正平衡的存在来推导基本的再生数。并分析了无蠕虫平衡和正平衡的稳定性。此外,我们通过将随机模拟与数值模拟进行比较,验证了所建立模型的合理性。最后,我们研究了啤酒花数量对被动蠕虫传播的影响,并讨论了各种免疫策略。我们发现,如果随着跳数的增加,被动蠕虫的传播速度加快;如果,则被感染对等体的数量随着值的增加而迅速减少,并最终降至零。结果表明,网络拓扑结构和跳数会影响被动蠕虫的传播。

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