Abstract
Based on the research of network user behavior, this paper studies and proposes an evaluation model of user behavior credibility. Firstly, the behavior evaluation index system is constructed by AHP analytic hierarchy process. Then, the information entropy is used to optimize the behavior evidence after data collection. Finally, the weight of each behavior attribute is calculated by the intuitionistic fuzzy judgment matrix, and the attribute layer and target layer of user behavior are calculated. Comprehensive credibility and based on comprehensive credibility to judge whether user behavior is credible. The simulation experiments show that the proposed application behavior credibility evaluation model has a good effect in evaluating the credibility of user behavior and can be used in increasingly complex and variable network systems.
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Acknowledgments
The authors would like to thank the reviewers for their detailed reviews and constructive comments, which have helped improve the quality of this paper. This work was supported in part by the National Key Research and Development Project of China (No. 2017YFB0802302).
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Yang, C., Wan, G., He, P., Huang, Y., Zhang, S. (2020). User Behavior Credibility Evaluation Model Based on Intuitionistic Fuzzy Analysis Hierarchy Process. In: Sun, X., Wang, J., Bertino, E. (eds) Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_2
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DOI: https://doi.org/10.1007/978-3-030-57881-7_2
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