| 具有休眠/监听机制的无线传感器网络中SIR病毒传播研究 |
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| 引用本文： | 蒋路茸,戴燕云,潘杭驿,徐巧玉,董芳.具有休眠/监听机制的无线传感器网络中SIR病毒传播研究[J].实验技术与管理,2021(3):83-87,92. |
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| 作者姓名： | 蒋路茸 戴燕云 潘杭驿 徐巧玉 董芳 |
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| 作者单位： | 浙江理工大学信息学院;浙大城市学院信息与电气工程学院;浙江环玛信息科技有限公司 |
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| 基金项目： | 国家自然科学基金项目(61602417);浙江省基础公益研究计划(LGF18F010007);教育部产学合作协同育人项目(201901284009)。 |
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| 摘 要： | 针对无线传感器网络遭受病毒攻击安全问题,结合无线传感器网络媒体访问控制层的休眠/监听机制,使用SIR病毒传播模型分析病毒传播的动态过程。研究表明,在无线传感器网络中媒体访问控制机制能在客观上对病毒传播起到抑制作用,降低网络病毒传播速度,减少网络病毒感染节点数。仿真发现,在媒体访问控制机制下,通过增大节点通信半径,增多网络活跃节点数,以及增加节点平均度等方法来改变网络结构,都能够有效抑制病毒在无线传感器网络中的传播,降低病毒感染规模。该文的实验结果与理论分析一致,研究成果能够应用于"计算机网络与信息安全"和"物联网概论"相关课程实验中,有助于学生理解信息病毒的传播过程,为制定病毒免疫机制解决网络病毒攻击隐患提供理论依据。
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| 关 键 词： | 无线传感器网络 网络安全 病毒传播 SIR模型 |
Research on SIR virus spreading in wireless sensor networks with sleep/listening mechanism |
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| JIANG Lurong,DAI Yanyun,PAN Hangyi,XU Qiaoyu,DONG Fang.Research on SIR virus spreading in wireless sensor networks with sleep/listening mechanism[J].Experimental Technology and Management,2021(3):83-87,92. |
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| Authors: | JIANG Lurong DAI Yanyun PAN Hangyi XU Qiaoyu DONG Fang |
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| Institution: | (School of Information Science and Technology,Zhejiang Sci-Tech University,Hangzhou 310018,China;College of Information and Electric Engineering,Zhejiang University City College,Hangzhou 310015,China;Zhejiang Huanma Information Technology Co.,Ltd.,Hangzhou 310052,China) |
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| Abstract: | Aiming at the security problem of wireless sensor network under virus attack, considering with the sleeping/listening mechanism in the media access control layer, this paper uses the SIR virus propagation model to analyze the dynamic process of virus propagation in wireless sensor network. The simulation shows that media access control mechanisms in wireless sensor network can objectively suppress the spread of virus, reduce the speed of network virus propagation and the number of nodes infected by network virus. At the same time, it is also found that under the media access control mechanism, changing the network structure by increasing the node communication radius and increasing the number of active nodes on the network and the average degree of nodes can effectively suppress the infection scale of virus spreading in wireless sensor network. The experimental results are consistent with the theoretical analysis, and the research results can be applied to the course experiments of "Computer networks and information security" and "Introduction to the Internet of things", which can help students understand the dynamic process of information virus propagation and the immune mechanisms. This research can provide theoretical basis for revealing the hidden dangers of network virus attacks. |
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| Keywords: | wireless sensor network network security virus propagation SIR model |
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