Research on Virus Spreading Model and Characteristics of Dynamic Random Network Under SDN Environment

doi:10.19678/j.issn.1000-3428.0048127

Computer Engineering ›› 2018, Vol. 44 ›› Issue (8): 179-183. doi: 10.19678/j.issn.1000-3428.0048127

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Research on Virus Spreading Model and Characteristics of Dynamic Random Network Under SDN Environment

LIU Lan ¹,REN Guangming¹,LIN Jun²

1.School of Electronic and Information,Guangdong Polytechnic Normal University,Guangzhou 510655,China; 2.Shenzhen CEPREI Industry Technology Research Institute,Shenzhen,Guangdong 518071,China

Received:2017-07-27 Online:2018-08-15 Published:2018-08-15

SDN环境下的动态随机网络病毒传播模型及特性研究

刘兰¹,任光明¹,林军²

1.广东技术师范学院电子与信息学院,广州 510655; 2.深圳赛宝工业技术研究院有限公司,广东深圳 518071

作者简介:刘兰(1977—),女,副教授、博士,主研方向为信息安全、网络工程;任光明,副教授、博士;林军(通信作者),高级工程师、硕士。
基金资助:
国家自然科学基金(61571141);广东省教育厅特色创新类项目(2016KTSCX078);广东省“质量工程”建设项目网络工程专业综合改革项目(2015133)。

Abstract

Abstract:

The Software Defined Network(SDN) provides dynamic control of the network,but the security is poor.Therefore,a dynamic random network model of SDN is proposed to study the process of network virus spreading.Through theoretical analysis and numerical simulation,it is found that the propagation of network viruses from the source subnet to the target subnet is related to the mobility of the nodes between the subnetworks.Experimental results show that the method can effectively identify virus migration threshold and detect the trend of virus transmission in real time.

Key words: network security, Software Definition Network(SDN), network virus, community, random network, mobility ratio

摘要：

软件定义网络(SDN)提供了对网络的动态调控,但是安全性较差。为此,提出一种SDN下的动态随机网络模型。研究网络病毒随子网间节点迁移而扩散及爆发的过程,通过理论分析和数值模拟,发现网络病毒从源子网传播到目标子网的传播特性与子网间节点的迁移率相关。实验结果表明,该方法能有效找出病毒迁移阈值,并能实时发现病毒传播趋势。

关键词: 网络安全, 软件定义网络, 网络病毒, 社团, 随机网络, 迁移率

CLC Number:

TP309

LIU Lan,REN Guangming,LIN Jun. Research on Virus Spreading Model and Characteristics of Dynamic Random Network Under SDN Environment[J]. Computer Engineering, 2018, 44(8): 179-183.

刘兰,任光明,林军. SDN环境下的动态随机网络病毒传播模型及特性研究[J]. 计算机工程, 2018, 44(8): 179-183.

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References

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