5G network anomaly detection method and system based on adaptive deep learning

Abstract

The invention relates to a 5G network anomaly detection method and system based on adaptive deep learning, which are used for carrying out substantive expansion on the existing network anomaly detection scheme, constructing a two-stage hierarchical detection technology by applying a deep learning identification technology, and by virtue of anomaly symptom detection modules respectively arranged inradio access network infrastructures, under the condition that the 5G network rate is met, detecting the network flow, discovering abnormal flow, and constructing a symptom packet; and uploading thesymptom packet to a network anomaly detection module, performing symptom analysis and diagnosis on the symptom packet by the network anomaly detection module, obtaining operation actions of a diagnosis result through a series of measures, and optimizing resources and functions of a corresponding radio access network, so that the system has a self-adaptive capability of managing flow fluctuation. According to the invention, allocation and deployment of more computing resources can be realized when necessary, abnormal flow detection of the 5G network can be efficiently realized, and safe work ina 5G network environment is ensured.

Description

technical field [0001] The invention relates to a 5G network anomaly detection method and system based on adaptive deep learning, and belongs to the technical field of network security. Background technique [0002] The more advanced communication architecture functions and higher communication performance provided by 5G mobile communication technology bring new challenges to the existing network security defense system. As the country pays more and more attention to network security, the network security of communication infrastructure has developed rapidly in the past few years, and innovative network security defense methods have been widely used. With the emergence of 5G new technology, new problems However, it seems unclear whether existing intrusion detection and prevention procedures can effectively protect 5G network security, and whether these existing defense technologies can be adjusted accordingly with the application of 5G new technologies to meet the requiremen...

AI Technical Summary

Problems solved by technology

[0002] The more advanced communication architecture functions and higher communication performance provided by 5G mobile communication technology bring new challenges to the existing network security defense system

New advanced features of 5G will make it difficult to adapt existing inspection procedures to new requirements

[0010] (4) End-to-end delay <1ms

[0011] These indicators make the network anomaly detection program an even greater challenge in 5G mobile networks. 5G users have a large number of user equipment, a large amount of data traffic generated by user equipment, and the reduction of connection delay. To meet the above key performance indicators, at the same time Without loss of detection accuracy, the 5G network anomaly detection system is facing new challenges

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