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零日病毒传播模型及稳定性分析

孟庆微 仇铭阳 王刚 马润年

孟庆微, 仇铭阳, 王刚, 马润年. 零日病毒传播模型及稳定性分析[J]. 电子与信息学报, 2021, 43(7): 1849-1855. doi: 10.11999/JEIT200519
引用本文: 孟庆微, 仇铭阳, 王刚, 马润年. 零日病毒传播模型及稳定性分析[J]. 电子与信息学报, 2021, 43(7): 1849-1855. doi: 10.11999/JEIT200519
Qingwei MENG, Mingyang QIU, Gang WANG, Runnian MA. Zero-day Virus Transmission Model and Stability Analysis[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1849-1855. doi: 10.11999/JEIT200519
Citation: Qingwei MENG, Mingyang QIU, Gang WANG, Runnian MA. Zero-day Virus Transmission Model and Stability Analysis[J]. Journal of Electronics & Information Technology, 2021, 43(7): 1849-1855. doi: 10.11999/JEIT200519

零日病毒传播模型及稳定性分析

doi: 10.11999/JEIT200519
基金项目: 国家自然科学基金(61573017)
详细信息
    作者简介:

    孟庆微:男,1980年生,博士后,副教授,研究方向为网络空间安全、通信信号处理

    仇铭阳:男,1997年生,硕士生,研究方向为网络空间安全

    王刚:男,1977年生,博士,副教授,研究方向为信息网络系统建设与规划

    马润年:男,1963年生,博士后,教授,研究方向为生物计算、神经网络

    通讯作者:

    王刚 wglxl@nudt.edu.cn

  • 中图分类号: TP393; TP309.5

Zero-day Virus Transmission Model and Stability Analysis

Funds: The National Nature Science Foundation of China (61573017)
  • 摘要: 针对零日病毒特点和传播规律,该文研究了零日病毒传播模型及稳定性。首先,分析了零日病毒传播机理,在易感-感染-移除-易感(SIRS)病毒传播模型基础上,重新定义了感染状态节点,引入执行状态节点和毁损状态节点,建立了零日病毒传播的易感-初始感染-零日-毁损-移除(SIZDR)病毒传播动力学模型;其次,运用劳斯稳定性判据,分析了系统平衡点的局部稳定性,基本再生数${R_0}$及其对病毒传播规模的影响。最后,仿真验证了模型局部稳定性,分析了节点感染率、节点度和节点毁损率等因素对零日病毒传播的影响。理论分析与仿真结果表明,该模型能客观反映零日病毒传播规律,零日病毒扩散规模与节点度、节点感染率正相关,与节点毁损率负相关,对已知病毒的针对性防控可有效提升对零日病毒的防御效果。
  • 图  1  SIZDR病毒传播模型

    图  2  不同$\beta $对应的系统状态

    图  3  不同$K$对应的系统状态

    图  4  不同$\sigma $对应的系统状态

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出版历程
  • 收稿日期:  2020-06-23
  • 修回日期:  2020-11-26
  • 网络出版日期:  2020-12-01
  • 刊出日期:  2021-07-10

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