Method, device and system for intelligent prediction of security situation based on deep neural network

Abstract

The invention belongs to the technical field of network security, and in particular relates to a method, device and system for intelligent prediction of security situation based on a deep neural network. A deep self-encoding network model based on unsupervised training and learning of network security situation; combined with expert knowledge and hierarchical evaluation of deep self-encoding network model, unsupervised layer-by-layer pre-training and supervised model parameter fine-tuning are sequentially performed to obtain a trained network model; based on training After the network model, the target network security situation is predicted. The present invention solves the problem of dependence on network security data labels by using the deep self-encoder as the basic structure, adopts the unsupervised layer-by-layer algorithm for pre-training, and adopts the supervised algorithm for parameter fine-tuning, and realizes the automatic monitoring and intelligence of the security situation. Early warning to improve the accuracy and timeliness of situation forecasting.

Description

Technical field [0001] The present invention belongs to the field of network security technology, particularly relates to a security situation intelligent prediction method based on a deep neural network, apparatus and system. Background [0002] With the major breakthroughs in artificial intelligence technology with machine learning algorithms as the core and the emergence of big data analysis platform systems, the introduction of artificial intelligence technology into the situation prediction process has become a significant technological development trend. Situational prediction is a core component of situational awareness technology, focusing on how to assess and predict future trends based on current and historical information in the system. It predicts trends in future states based on information collected in the past and information about situations currently understood. Situation prediction enables decision makers to grasp the state of cyberspace more predictably and co...

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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