Research on cascading failure of complex system and its virus propation

2017 Ninth International Conference on Advanced Computational Intelligence (ICACI) Pub Date : 2017-02-01 DOI:10.1109/ICACI.2017.7974495

Yu Zeng

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引用次数: 1

Abstract

The research of the cascading failure and the spread of the disease belong to two separate fields. However, in practice, there are many mutual effects between two processes each other. This paper first introduces some basic concepts of complex networks, and analyzes the application of cascading failure model and several typical virus transmission models. Then, based on a spreading model, the interaction of the models between the virus propagation and the cascading failure is established. Furthermore, the dynamic process of the node state and their interaction is analyzed for the interaction model. According to the dynamic process, the qualitative analysis and quantitative analysis are both carried out. Finally, the proportion on the different states of the nodes in the network is simulated and analyzed based on the equilibrium of the virus spreading when the cascading failure is over. The effectiveness and practicability of the model is verified by comparing the simulation value with the theoretical value. The work provides a guideline for designing and improving the security of the network system in real life.

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复杂系统的级联失效及其病毒传播研究

对级联失效和疾病传播的研究属于两个独立的领域。然而，在实践中，两个过程之间存在许多相互影响。本文首先介绍了复杂网络的一些基本概念，分析了级联失效模型和几种典型病毒传播模型的应用。然后，在建立病毒传播模型的基础上，建立了病毒传播模型与级联失效之间的相互作用。在此基础上，分析了节点状态及其相互作用的动态过程。根据动态过程，进行定性分析和定量分析。最后，基于级联故障结束时病毒传播的均衡性，对网络中节点不同状态所占的比例进行了仿真分析。通过仿真值与理论值的比较，验证了该模型的有效性和实用性。为现实生活中网络系统的安全设计和改进提供了指导。

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2017 Ninth International Conference on Advanced Computational Intelligence (ICACI)

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