病毒传播下的因特网级联故障模型构建与仿真

发布时间：2018-04-19 07:44

本文选题：复杂网络 + IPv因特网　；参考：《计算机应用研究》2016年04期

【摘要】：级联故障普遍存在于复杂网络系统中。为了更好地控制IPv6因特网级联故障问题,首先分析了2014年IPv6因特网数据的拓扑特征;其次,探讨了在因特网的数据通信过程中,病毒传播与级联故障之间的相互作用问题:比如蠕虫病毒的传播会引起负载变化,致使网络中负载重分配,从而导致级联故障的发生,同时,级联故障的发生,导致路由器的相继失效,也会导致病毒无法传播;最后,在此基础上,提出一种新的基于负载局部重分配原则的级联故障模型,并建立了SIR病毒传播和级联故障的相互作用模型——SIR-C模型,通过构建Netlogo动态仿真系统,验证了SIR-C模型的正确性与有效性,可以为因特网拓扑结构与路由策略的管理与优化提供理论参考。
[Abstract]:Cascading faults generally exist in complex network systems.In order to better control the cascading faults of IPv6 Internet, this paper firstly analyzes the topological characteristics of IPv6 Internet data in 2014, and then discusses the process of Internet data communication.The interaction between virus propagation and cascading failure: for example, the spread of worm virus will cause load change, which will lead to load redistribution in the network, which will lead to the occurrence of cascading failure, at the same time, cascading failure will occur.As a result of the successive failure of routers, the virus can not be propagated. Finally, a new cascading fault model based on the principle of load partial redistribution is proposed.The interaction model of SIR virus propagation and cascading faults, SIR-C model, is established. The correctness and validity of the SIR-C model are verified by constructing the Netlogo dynamic simulation system.It can provide a theoretical reference for the management and optimization of Internet topology and routing policies.
【作者单位】：电子工程学院研究生管理大队;电子工程学院网络系;
【基金】：安徽省自然科学基金资助项目(1208085QF107)
【分类号】：TP393.08;O157.5

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