Model training method, network situation prediction method and device, equipment and medium

Abstract

The invention discloses a model training method, a network situation prediction method and device, equipment and a medium. The method comprises the steps of determining a network security situation value of each sample time period; according to the processing mode, processing the network security situation value of each sample time period to form a network security situation training sample set; inputting the network security situation training sample set into an initial SVM model optimized by a PSO algorithm to obtain errors between each training prediction value and the corresponding actual value; determining a patch training sample in the training sample set according to the error between each training prediction value and the corresponding actual value; training the initial SVM model according to the patch training sample to obtain a patch SVM model; and training the initial SVM model according to the remaining normal training samples except the patch training samples in the training sample set to obtain a global SVM model. The model training method is high in training efficiency, and the accuracy of the trained SVM model is high.

Description

technical field [0001] The embodiments of the present invention relate to the field of network security, and in particular to a model training method, a network situation prediction method, a device, a device, and a medium. Background technique [0002] In the era of big data, all kinds of information resources achieve high-efficiency and high-quality transmission, which greatly improves the efficiency of data operation. However, in the operation process of the network system, there are corresponding loopholes, which provide opportunities for hackers, viruses, etc., and also expose the personal privacy information of computer users to the view of the network. If the value of the data information lost by the user is high, the risk of economic loss will increase. Such problems are also a missing phenomenon in the current network security system. In view of the importance of the network communication industry, the national department has issued corresponding network security ...

AI Technical Summary

Problems solved by technology

[0004] The invention provides a model training method, network situation prediction method, device, equipment and medium to solve the technical problem that the accuracy of the prediction result is not high enough in the current power communication network security situation awareness

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