NDLI: Critical nodes identification for vulnerability analysis of power communication networks

Content Provider	IET Digital Library
Author	Fan, Bing Zheng, Chen Xi Tang, Liang Rui Wu, Run Ze
Abstract	As the support networks of the electric power grid, power communication networks (PCNs) become more complex and vulnerable due to the increasing scale of the electric power grid. Identifying and protecting the critical nodes in PCNs in advance is an effective way to reduce network vulnerability. Owing to the large differences in vulnerability indicators of different layers in the PCN, it is difficult to find the critical nodes, which have great impacts on all vulnerability indicators. Therefore, the goal of this study is to identify the critical nodes that have greater impacts on different layers, rather than nodes that have the greatest impact on a single layer. Therefore, the authors present a model to analyse the node in the PCNs from the physical topology, traffic distribution, and service importance distribution to calculate the node importance in the physical topology layer, the transport layer, and the service layer, respectively. Combined with a multi-layer critical nodes identification algorithm (MCNIA) proposed, the node critical degree is obtained so that it can identify the critical nodes in the PCNs. The vulnerability analyses of PCNs under critical nodes attacking prove that MCNIA can identify critical nodes in the PCNs precisely.
Starting Page	703
Ending Page	713
Page Count	11
ISSN	17518628
Volume Number	14
e-ISSN	17518636
Issue Number	Issue 4, Mar (2020)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/14/4
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2019.0179
Journal	IET Communications
Publisher Date	2019-12-12
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Combinatorial Mathematics Communication Network Design, Planning And Routing Computer Communication Data Security Electric Power Grid Multilayer Critical Node Identification Algorithm Network Vulnerability Node Critical Degree Node Importance Optimisation Technique PCNs Power Communication Network Power Grid Security of Data Telecommunication Network Topology Telecommunication Security Telecommunication Traffic Vulnerability Indicators
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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