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Virus propagation model and stability analysis of heterogeneous backup network
Yingqi LI, Weifeng JI, Jiang WENG, Xuan WU, Xiuyu SHEN, Yan SUN
Journal of Computer Applications    2023, 43 (4): 1176-1182.   DOI: 10.11772/j.issn.1001-9081.2022030409
Abstract262)   HTML6)    PDF (2043KB)(64)       Save

Concerning the secondary attack problem of virus in cloud computing, data center and other virtual network-based environments, the virus propagation and immune mechanism under the background of dynamic platform defense was studied, and a heterogeneous backup based network virus defense method was proposed. Firstly, the process of secondary attack of redundant backup was analyzed, and the law of virus action was summarized. At the same time, combined with the idea of dynamic platform defense, the heterogeneous platform state node was introduced, and a Susceptible-Escaped-Infected-Removed-Heterogeneous-Susceptible (SEIRHS) virus propagation model was proposed. Secondly, the local stability at the equilibrium point of the model was proved by using the Routh-Hurwitz stability criterion, and the basic reproductive number was solved. Finally, the proposed model was compared with the traditional Susceptible-Infected-Removed (SIR) and Susceptible-Escaped-Infected-Removed (SEIR) models through simulation analysis, the stability of the model was verified, and the effect of virus propagation influencing factors on virus spread scale was discussed. The simulation results show that the proposed model can objectively reflect the propagation law of virus in the network, and effectively improve the network’s defense effect against the virus by reducing the node degree, increasing the Infected-Heterogeneous (I-H) state transition probability, and reducing the probability of being hidden by the virus during backup, etc.

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