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A predictive dynamic high-speed network traffic detection method and device

A high-speed network and traffic detection technology, applied in data exchange networks, digital transmission systems, electrical components, etc., can solve problems such as buffer packet loss, and achieve the effect of speeding up the detection process, preventing packet loss, and reducing the amount of data copying

Active Publication Date: 2018-02-13
重庆智载科技有限公司
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AI Technical Summary

Problems solved by technology

So as to solve the packet loss problem caused by the buffer being filled in the 10 Gigabit high-speed network traffic detection

Method used

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  • A predictive dynamic high-speed network traffic detection method and device
  • A predictive dynamic high-speed network traffic detection method and device
  • A predictive dynamic high-speed network traffic detection method and device

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Embodiment Construction

[0025] like figure 1Shown is a device for predictive dynamic high-speed network traffic detection provided by the present invention, including: a traffic collection module: allocate user buffers, and use a network traffic collection interface to collect traffic in the network. In order to avoid packet loss, in the callback function, simply execute the operation of copying the data packets stored in the kernel buffer to the end of the user buffer queue; data processing module: when the user buffer queue is not empty, from The head of the queue extracts the data packet, analyzes the protocol header information of each layer and extracts the payload of the application layer of the data packet, and executes the linked list update program and the user-defined program. The user-defined program can use a string matching algorithm to detect the payload, and if it matches, the number of matches has occurred in the corresponding update connection; intelligent control module: according t...

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Abstract

The present invention provides a predictive dynamic high-speed network flow detection method and device, which relate to the technical field of network flow detection, use a network data collection interface to collect network flow in real time, and classify connections into trusted connections and Untrusted connections, through the method of filtering untrusted connections to speed up the flow detection process, ensure the effectiveness of detection, and prevent packet loss. Whether the connection is credible is dynamically related to the available space of the user buffer. When the traffic in the network is too large or the user-defined program reads data too slowly, resulting in insufficient buffer space, reduce the number of trusted connections and prevent packet loss. Instead, increase the number of trusted connections to detect as many connections in the network as possible. Through the invention, the packet loss problem caused by the buffer being filled can be prevented while ensuring the effectiveness of the detection.

Description

technical field [0001] The invention relates to the technical field of network flow detection, in particular to a predictive dynamic high-speed network flow detection method and device. Background technique [0002] The collection and information extraction of network traffic is an important content in network traffic detection technology. The traditional network traffic detection technology uses the network data collection interface to store the traffic information collected from the network card in the kernel buffer, and further provides it to the application of the high-level operating system. [0003] With the explosive growth of the mobile Internet and the popularity of mobile terminals, the traffic in the network has increased sharply, and the traffic in the backbone network has reached the level of 10G. This poses a huge challenge for the real-time collection and detection of network traffic. When the traffic in the network is too large, the amount of data arriving ...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26H04L12/823H04L1/00H04L47/32
Inventor 程克非谢鹏李琳李红波
Owner 重庆智载科技有限公司
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