Identification of Influential Nodes in Industrial Networks Based on Structure Analysis | |
Wang TY(王天宇)1,2,3; Zeng P(曾鹏)1,2,3; Zhao JM(赵剑明)1,2,3; Liu XD(刘贤达)1,2,3; Zhang BW(张博文)1,2,3 | |
刊名 | Symmetry |
2022 | |
卷号 | 14期号:2页码:1-14 |
关键词 | Industrial networks Influential nodes Structure-based identification method |
ISSN号 | 2073-8994 |
产权排序 | 1 |
英文摘要 | Industrial network systems are facing various new challenges, such as increasing functional failure factors, the accelerating penetration of information threats, and complex and diverse attack methods. Industrial networks are often vulnerable to natural or intentional disasters; therefore, it is highly invaluable to research to identify the influential nodes. Most of the state-of-the-art evaluates the importance of the nodes according to one or more network metrics. Moreover, there are no metrics reflecting all the properties of the network. In this paper, a novel method (Structure-based Identification Method, SIM) to identify the influential nodes in industrial networks is proposed based on the network structure, which goes beyond the use of network metrics. The SIM method extracts the weakly connected components, which are more likely to survive after the important nodes are attacked in the network. Evaluation results show that the SIM method obtains better results than the state-of-the-art methods to identify influential nodes in real-world industrial networks and has a good prospect to be applied in industrial application. |
资助项目 | National Key Research and Development Program of China Key technology and application of safety and credibility for industrial control system[2020YFB2009500] ; Independent Subject of State Key Laboratory of Robotics Research on security industry network construction technology for 5G communication[2022-Z13] |
WOS关键词 | COMPLEX NETWORKS ; ATTACK |
WOS研究方向 | Science & Technology - Other Topics |
语种 | 英语 |
WOS记录号 | WOS:000764293400001 |
资助机构 | National Key Research and Development Program of China “Key technology and application of safety and credibility for industrial control system” (2020YFB2009500) ; Independent Subject of State Key Laboratory of Robotics “Research on security industry network construction technology for 5G communication” (No. 2022-Z13) |
内容类型 | 期刊论文 |
源URL | [http://ir.sia.cn/handle/173321/30348] |
专题 | 沈阳自动化研究所_工业控制网络与系统研究室 |
通讯作者 | Zeng P(曾鹏) |
作者单位 | 1.Key Laboratory of Networked Control Systems, Chinese Academy of Sciences, Shenyang, 110016, China 2.Institutes for Robotics and Intelligent Manufacturing, Chinese Academy of Sciences, Shenyang, 110169, China 3.State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China |
推荐引用方式 GB/T 7714 | Wang TY,Zeng P,Zhao JM,et al. Identification of Influential Nodes in Industrial Networks Based on Structure Analysis[J]. Symmetry,2022,14(2):1-14. |
APA | Wang TY,Zeng P,Zhao JM,Liu XD,&Zhang BW.(2022).Identification of Influential Nodes in Industrial Networks Based on Structure Analysis.Symmetry,14(2),1-14. |
MLA | Wang TY,et al."Identification of Influential Nodes in Industrial Networks Based on Structure Analysis".Symmetry 14.2(2022):1-14. |
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