Research on key node identification of power communication network based on entropy weight method

Yue Sun; Linlin Xu; Shichao Sun

doi:10.1117/12.3033347

29 July 2024 Research on key node identification of power communication network based on entropy weight method

Yue Sun, Linlin Xu, Shichao Sun

Proceedings Volume 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024); 132141L (2024) https://doi.org/10.1117/12.3033347
Event: Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 2024, Guangzhou, China

Abstract

Power communication network is a complex network structure composed of multiple communication nodes connected by a specific topology through transmission links. Identifying and protecting important nodes in power communication network in advance is an effective way to reduce network vulnerability. This paper presents a way to analyze the importance of nodes comprehensively by combining the topology of power communication network with the power service. Topology structure is evaluated by degree centrality, compact centrality and Katz centrality. Business importance is evaluated according to service quality and security indicators. Entropy weight method is used to determine the contribution weight of each indicator according to the concept of entropy in information theory. Finally, through the relative change of network efficiency, the destruction-resistance of the network is analyzed to verify the effectiveness of the proposed method.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Yue Sun, Linlin Xu, and Shichao Sun "Research on key node identification of power communication network based on entropy weight method", Proc. SPIE 13214, Fourth International Conference on Digital Signal and Computer Communications (DSCC 2024), 132141L (29 July 2024); https://doi.org/10.1117/12.3033347

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