Abstract
Network reconfiguration is an important means of improving network invulnerability. However, most existing network reconfiguration methods fail to consider node importance, edge importance, and hierarchical characteristics, and the local and global information of command and control (C2) networks are difficult to satisfy comprehensively. Therefore, this study designed a hierarchy-entropy-based method for reconfiguring C2 networks. By combining hierarchical and operational link entropy, the probability of inter-node edge reconfiguration based on hierarchy entropy is proposed. Additionally, methods for calculating the node level-up, cross-level, and swap degrees, and a portfolio reconfiguration strategy are proposed. Finally, to validate the proposed method, a case study was simulated, and the repair probability, adjustable parameters, and reconfiguration effects of the different reconfiguration methods and modes were determined. The comparison results demonstrate that the proposed algorithm improves the reconfiguration effect and reduces the reconfiguration cost.













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Funding
This work was supported by Innovative Research Group Project of the National Natural Science Foundation of China (Grant no. 61471080), Quipment development department research foundation of China (Grant no. 61400010303), surface project for Natural Science foundation in Guangdong Province of China (Grant no. 2019A1515011164) and Science and Technology Plan project in Zhanjiang (Grant no. 2018A06001).
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Gao, X., Chen, B., Jiang, P. et al. Hierarchy-entropy based method for command and control networks reconfiguration. J Supercomput 78, 15229–15249 (2022). https://doi.org/10.1007/s11227-022-04445-z
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DOI: https://doi.org/10.1007/s11227-022-04445-z