Network safety risk prediction method and device, storage medium and computer equipment

Abstract

According to the network safety risk prediction method and device, the storage medium and the computer equipment provided by the invention, firstly, the initial model parameters obtained after pre-training are updated to the plurality of clients participating in federated learning, and the local risk prediction model is trained by using the updated model parameters; then, each client sends the intermediate model parameters obtained after training to the central server so as to continue to train the preliminary federated learning model; according to the global model obtained by training the model parameters, related safety data does not need to be directly obtained from an enterprise and a user side, so that the cost of cleaning and labeling the obtained data is avoided; besides, the trained global model parameters are deployed at the user client, and the safety risk prediction is carried out according to the network environment where the enterprise user is located, the local safety configuration and other related parameters, so that the accuracy of the enterprise safety risk prediction can be further improved.

Description

technical field [0001] The present invention relates to the technical field of network security, in particular to a network security risk prediction method, device, storage medium and computer equipment. Background technique [0002] With the continuous development of Internet technology, the network environment in which Internet services and applications are located is becoming more and more complex, and the security threats they face are gradually showing diversification. On the basis of traditional passive defenses such as anti-virus, firewall, and terminal protection, active defense measures such as intrusion detection and situational awareness have gradually become a new trend in the network security industry. As the basis of active defense, security risk prediction can provide good information for active defense. In addition, with the development of the cyber security insurance industry, risk prediction has also become an important means of cyber security insurance ass...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to at least solve one of the above-mentioned technical defects, especially the network security risk prediction in the prior art lacks an overall security risk prediction, and the security-related data obtained from the enterprise and the client are limited, presenting Diversification, high cost of data cleaning and labeling, large differences in security data dimensions in different subdivisions, joint training has certain technical defects

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