Security situation intelligent prediction method, device and system based on deep neural network

Abstract

The invention belongs to the technical field of network security, in particular to a security situation intelligent prediction method, device and system based on a deep neural network, and the methodcomprises the steps: taking an automatic encoder as a basic unit, combining with an error back propagation BP neural network, and constructing a deep self-encoding network model for network security situation unsupervised training learning; sequentially carrying out unsupervised layer-by-layer pre-training and supervised model parameter fine adjustment by combining expert knowledge and the hierarchical evaluation deep self-encoding network model to obtain a trained network model; and predicting the target network security situation based on the trained network model. According to the invention, the deep auto-encoder is used as a basic structure, an unsupervised layer-by-layer algorithm is used for pre-training, and a supervised algorithm is used for parameter fine tuning, so that the problem of dependence on a network security data label is solved, automatic monitoring and intelligent early warning of a security situation are realized, and the accuracy and timeliness of situation prediction are improved.

Description

technical field [0001] The invention belongs to the technical field of network security, and in particular relates to a deep neural network-based intelligent security situation prediction method, device and system. Background technique [0002] With the major breakthroughs in artificial intelligence technology centered on machine learning algorithms and the emergence of big data analysis platform systems, it has become a significant technological development trend to introduce artificial intelligence technology into the situation prediction process. Situation prediction is the core component of situation awareness technology, focusing on how to evaluate and predict future trends based on current and historical information in the system. It predicts the trend of the future state based on the information collected in the past and the current situational information understood. Situation prediction enables decision makers to grasp a more predictable and comprehensive cyberspac...

AI Technical Summary

Problems solved by technology

[0003] For this reason, the present invention provides a security situation intelligent prediction method, device and system based on a deep neural network, which solves problems such as the strong dependence of the existing network security situation on label data, improves the application of the neural network in the field of situation prediction, and has a comparative advantage. Strong practicability and operability

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