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Research on Software Network Key Nodes Mining Methods Based on Complex Network

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1149))

Abstract

Complex software system will bring a lot of software security problems, it is very meaningful to know how to more accurately abstract the software network model from the software system and efficiently find the key nodes in the software network. This research takes open source software as the research object, constructs a directed network model of software system, proposes a new weight calculation method, adds weights to the model to form a directed weighted network, and then regards the software network as a complex network. The defect mining and defect propagation cost are two node mining methods related to the weight and degree of the node. At the same time, the PageRank algorithm is improved to mine the key nodes. Finally, the robustness of the software system execution network model is carried out by different attack methods. The evaluation, through experimental verification and comparison, shows that the mining method proposed in this study can more accurately and efficiently mine key nodes in the software system.

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Acknowledgement

This work was supported by the National Natural Science Foundation of China (Grant No. U1636115).

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Correspondence to Chun Shan .

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Shan, C., Wang, P., Hu, C., Gao, X., Mei, S. (2020). Research on Software Network Key Nodes Mining Methods Based on Complex Network. In: Han, W., Zhu, L., Yan, F. (eds) Trusted Computing and Information Security. CTCIS 2019. Communications in Computer and Information Science, vol 1149. Springer, Singapore. https://doi.org/10.1007/978-981-15-3418-8_14

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  • DOI: https://doi.org/10.1007/978-981-15-3418-8_14

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-3417-1

  • Online ISBN: 978-981-15-3418-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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