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

机译:P2P网络中无源蠕虫扩散的动态建模分析

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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 R_0 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 themodel 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 R_0 > 1, the propagation speed of passive worms is accelerated with the increase of hop count d; if R_0 < 1, the number of infected peers decreases rapidly with the increase of the value of d 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:被动蠕虫易于通过点对点网络传播,并且它们对网络的安全构成了很大的威胁。在本文中,考虑到网络异质性和搜索的跳跃数量可以达到,我们提出了一种新的数学模型来研究被动蠕虫传播的动态。对于所提出的模型,通过采用正平平衡的存在来导出基本再现数R_0。分析了无蠕虫平衡和正平平衡的稳定性。此外,我们通过将随机仿真与数值模拟进行比较来验证模型的合理性。最后,我们研究了跳跃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R_0> 1,则随着跳数D的增加,被动蠕虫的传播速度加速了;如果R_0 <1,则感染对等体的数量随着D的值的增加而迅速降低,并最终降至零。结果表明,网络拓扑结构和啤酒花数量会影响被动蠕虫的传播。

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