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Research on Evolutionary Model for Trust of Nodes Based on the Fuzzy Correlation Measures

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Abstract

Aiming at the fuzziness of node trust evaluation and the dynamic evolution of trust decision in spatial information network, a network node trust evolution model based on fuzzy correlation measures is proposed. The model introduces the subjective trust ambiguity of the node, and effectively improves the accuracy of trust classification. Based on the evolution process of node trust strategy selection, the dynamic distribution of different nodes in the network is simulated and simulated to show the equilibrium distribution of evolution. The simulation shows the robustness of the fuzzy trust value calculation model, and verifies the influence of the node interaction on the steady state.

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Acknowledgements

The author is very grateful to the anonymous reviewers for their insightful and constructive comments and suggestions that have led to an improved version of this paper. The work is supported by the National Natural Science Foundation of China (Nos. 61702543, 71501186, 71401176), the 333 high-level talent training project of Jiangsu Province of China (No. BRA 2016542).

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Authors and Affiliations

  1. College of Communication Engineering, Army Engineering University of PLA, Nanjing, China

    Lei Zhu, Lei Wang & Changhua Yao

  2. Troop 92146 of PLA, Zhanjiang, China

    Yuqi Yang

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  1. Lei Zhu
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  2. Lei Wang
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  3. Yuqi Yang
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  4. Changhua Yao
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Correspondence to Lei Wang.

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Zhu, L., Wang, L., Yang, Y. et al. Research on Evolutionary Model for Trust of Nodes Based on the Fuzzy Correlation Measures. Wireless Pers Commun 102, 3647–3662 (2018). https://doi.org/10.1007/s11277-018-5398-x

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