计算机科学 ›› 2012, Vol. 39 ›› Issue (5): 99-101.

• 计算机网络与信息安全 • 上一篇    下一篇

基于免疫主机的蠕虫非线性传播新模型优化

佟晓筠,李巧军   

  1. (哈尔滨工业大学(威海)计算机科学与技术学院 威海264209)
  • 出版日期:2018-11-16 发布日期:2018-11-16

Optimization of New Nonlinear Propagation Model of Worm Based on Immune Hosts

  • Online:2018-11-16 Published:2018-11-16

摘要: 基于Two-Factor传播模型提出了一种新的QSIRV传播模型,该模型更合理地考虑了被免疫主机的失效性。通过仿真得出,QSIRV模型较Two-Factor模型能够更好地描述蠕虫的传播规律以及传播过程中网络流量和蠕虫流量之间的相互影响,尤其是对免疫后的主机数目变化的仿真更是符合实际情况,同时考虑了已隔离、免疫及被感染主机的数量的影响以及人们对蠕虫传播的警惕性的提高。对QSIRV模型进行了进一步的改进。仿真结果验证,改进后的模型可以更快地遏制蠕虫传播。

关键词: 蠕虫,蠕虫传播模型,模型优化,QSIRV模型,免疫主机

Abstract: The thesis analyzed the propagation model of worm in detail and the model was optimized. We presented a new propagation model of worm named as the QSIRV propagation model based on the Two-Factor propagation model.The model reasonably considers the failure of the immunity. The experimental results show the QSIRV model can better descript the worm propagation and the interaction between the worms spread of network traffic and worms flow, and especially the simulation of the changed number of the host immune is consistent with the actual situation, and the model also considers the influence for isolation, immune, number of infected hosts and the people vigilance to worm. The paper further improved the QSIRV model. The improved model can faster resist the worms spread.

Key words: Worm,Propagation model of worm,Optimization of model,QSIRV model,Distributed worm detection

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