Application identification and control system and method based on virtual private network

Abstract

An application identification and control system and an application identification and control method based on a virtual private network are provided. The system comprises a mobile terminal and an identification and control server. The mobile terminal and the identification and control server communicate with each other through a virtual private network. The mobile terminal identifies applications using traffic, transmits the identification information to the identification and control server, and acquires control information from the identification and control server to control traffic use of the applications. The identification and control server counts user's ordering information and traffic use information in a classified manner, and controls the applications of the mobile terminal according to the statistical information. According to the system and the method of the invention, the use condition of applications can be identified accurately at a mobile terminal side, a specified application can be accelerated under control, and the flow rate of other applications can be reduced. Therefore, the flexibility of user traffic distribution is improved, the waste of user traffic is reduced, and the user experience is improved.

Description

technical field [0001] The invention relates to the field of mobile applications, in particular to a virtual private network-based application identification and control system and method. Background technique [0002] The bandwidth management solution of the existing DPI technology is similar to the well-known anti-virus software system in some respects, that is, the type of application it can identify must be known to the system. Take BT, which is well-known to users, as an example. Its Handshake protocol The signature word is "BitTorrent Protocol"; in other words, the antivirus system must have a huge database of virus signatures in the background, and the bandwidth management system based on DPI technology must also maintain a database of application signatures. The application information is compared with the background feature database to determine the application type; and when a new application appears, the background application feature database must also be updated...

AI Technical Summary

Problems solved by technology

Therefore, the application recognition rate of the existing DPI technology cannot reach 100%, and it is difficult to identify encrypted data. When a new application is added, it cannot be identified immediately. It needs to analyze its characteristics, behavior patterns, etc. and then add it to the identification database. identification, there is a delay in identification, etc.

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