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The Calculation Method of the Network Security Probability of the Multi-rail Division Based on Fuzzy Inference

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Abstract

The traditional method uses terminal network monitoring method to estimate the security probability of multi-track segmentation network, but the detection performance is unsatisfactory. A security probability estimation and intrusion detection algorithm for multi-track segmentation networks in network attack environment based on fuzzy reasoning is proposed. The security probability estimation model of multi-track segmentation network in network attack environment is constructed. Fuzzy reasoning and probability density feature detection method are combined to evaluate the security data of multi-track segmentation network. The infection membership characteristics of multi-track segmentation network intrusion data are extracted, and the security probability calculation and virus attack detection of multi-track segmentation network are realized. The results show that the proposed algorithm has higher accuracy in calculating the security probability of multi rail segmented network, realizes the security probability calculation and data detection of multi rail segmented network, and enhances the security defense of multi rail segmented network.

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Acknowledgements

Thanks for the financial support by Project of Soft Science Research Program of Hebei Science and Technology Department (No. 17456001D); The Hebei key project of Social Sciences (No. 201701501, 201802020211).

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Authors and Affiliations

  1. School of Information Technology, Hebei Geo University, Shijiazhuang, 050031, China

    Lijie Yin & Dieyi Zhang

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  1. Lijie Yin
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  2. Dieyi Zhang
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Correspondence to Lijie Yin.

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Yin, L., Zhang, D. The Calculation Method of the Network Security Probability of the Multi-rail Division Based on Fuzzy Inference. Mobile Netw Appl 27, 1368–1377 (2022). https://doi.org/10.1007/s11036-022-01921-x

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