Application control method, device, electronic device and storage medium

Abstract

The present invention provides an application control method, device, electronic device and storage medium, wherein the method includes: obtaining a traffic packet corresponding to an access request; performing deep packet inspection on the traffic packet to obtain a deep packet inspection result; If the application type is not included, the traffic packet is input into the application type identification model, and the application type output by the application type identification model is obtained; based on the deep packet inspection result and the application type, the application control is performed on the terminal device corresponding to the access request; The type identification model is trained based on the sample traffic packets and the application type labels of the sample traffic packets. It combines the deep packet inspection results and the application type to control the application, which can make the application control process more flexible and accurate, and overcome the traditional solution. Defects with low identification accuracy and very complicated maintenance process have been realized, simplifying the operation and maintenance process, and improving the accuracy and accuracy of application control.

Description

technical field [0001] The present invention relates to the technical field of big data, and in particular, to an application control method, device, electronic device and storage medium. Background technique [0002] With the rapid development of satellite network, it faces more and more network applications, such as satellite applications, office applications, industrial applications, Internet of Things applications and infrastructure, etc., and the satellite network environment is also increasingly complex. It has become an urgent problem to be solved effectively. [0003] At present, the management and control methods for applications are mostly rule-based nDPI engine identification. Among them, nDPI is the ntop maintenance superset of the OpenDPI library, that is, the DPI (Deep Packet Inspection, deep packet inspection) library developed from OpenDPI. The ntop organization is responsible for maintenance. On this basis, machine learning can be further used to classify t...

AI Technical Summary

Problems solved by technology

[0004] The invention provides an application control method, device, electronic equipment and storage medium to solve the defects of low recognition accuracy and complicated maintenance process in the prior art

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