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具有切换特性和免疫控制的计算机病毒传播模型

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  • 国家科技期刊平台
  • NETL
  • NSTL
  • 万方数据
  • 维普
针对目前计算机病毒传播建模研究中没有综合考虑安全防护以及病毒持续更新的影响，提出具有切换特性和免疫控制的计算机病毒SEIR(Susceptible-Exposed-Infected-Recovery)传播模型。考虑安全防护措施和病毒更新的影响，构建切换型病毒传播模型，该模型由低防护子系统和高防护子系统构成。考虑免疫控制策略，构建切换脉冲型病毒传播模型。为验证模型的有效性，分别在BA无标度网络和SW小世界网络进行数值仿真，并且进行对比分析。实验结果表明:在SW小世界网络中免疫控制策略更能有效控制病毒的传播;低防护传播期与高防护传播期的比值越小，达到平稳时潜伏节点和感染节点的密度越小;病毒的更新周期越长，潜伏节点和感染节点的峰值密度越低。
A COMPUTER VIRUS PROPAGATION MODEL WITH SWITCHING CHARACTERISTICS AND IMMUNE CONTROL
Aiming at the current computer virus propagation modeling research that does not comprehensively consider the impact of security protection and continuous virus updates,this paper proposes a computer virus SEIR(susceptible-exposed-infected-recovery)propagation model with switching characteristics and immune control.Considering the impact of security protection measures and virus updates,a switching virus propagation model was constructed,which was composed of a low protection subsystem and a high protection subsystem.Considering the immune control strategy,a switching pulse virus propagation model was constructed.In order to verify the effectiveness of the model,numerical simulations were performed on the BA scale-free network and the SW small-world network,and a comparative analysis was carried out.The experimental results show that the immune control strategy in the SW small world network can effectively control the spread of the virus;the ratio of the low-protection transmission period to the high-protection transmission period is smaller,the density of latent nodes and infected nodes is smaller when it reaches a plateau.The longer the update cycle,the lower the peak density of latent nodes and infected nodes.

Computer virusPropagation modelSwitchingSecurity protectionVirus updateImmune control

刘超、任禹锜、刘小洋、黄贤英

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重庆理工大学计算机科学与工程学院 重庆 400054

计算机病毒 传播模型 切换 安全防护 病毒更新 免疫控制

重庆市教育委员会科学技术研究项目重庆市教育委员会科学技术研究项目重庆理工大学两江国际学院预研基金项目重庆市自然科学基金面上项目

KJQN201801120KJQN201801104cstc2019jcyjmsxmX0492

2024

10.3969/j.issn.1000-386x.2024.04.046

计算机应用与软件
上海市计算技术研究所 上海计算机软件技术开发中心

计算机应用与软件

CSTPCD北大核心
影响因子：0.615
ISSN：1000-386X
年,卷(期)：2024.41(4)
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