Method and system for recognizing application type of flow data

A flow data and application type technology, applied in the field of communication, can solve problems such as poor accuracy, difficulty in online identification, and unsuitability for high-level networks

Inactive Publication Date: 2015-03-25
BEIJING BAIDU NETCOM SCI & TECH CO LTD
View PDF5 Cites 16 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, although the port-based classification method has high efficiency, its accuracy is poor; the load-based classification method can only identify plaintext traffic, but cannot handle encrypted traffic, and is not suitable for high-level networks; although the machine learning-based classification method has a high The recognition rate can identify encrypted traffic, but there is a problem of low robustness in online recognition; the classification method based on behavior and traffic propagation graph is currently limited to offline recognition, which is very difficult for online recognition
Therefore, only using a single classification method cannot balance efficiency and accuracy

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Method and system for recognizing application type of flow data
  • Method and system for recognizing application type of flow data
  • Method and system for recognizing application type of flow data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0018] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings.

[0019] figure 1 is a flowchart of a method for identifying an application type of traffic data according to an embodiment of the present invention. see figure 1 , the method includes:

[0020] S110: Identify the application type of the traffic data through a coarse-grained classification method, if the application type of the traffic data cannot be identified, execute S120;

[0021] Wherein, in the embodiment of the present invention, the step S110 may include, but is not limited to: identifying the application type of the traffic data through a port number-based classification method.

[0022] S120: Identify the application type of the traffic data by using a fine-grained classification method.

[0023] In a preferred embodiment of the pr...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention provides a method and system for recognizing the application type of flow data. The method comprises the steps that a coarse-grained classification method is used for recognizing the application type of the flow data; if the application type of the flow data cannot be recognized, a fine-grained classification method is used for recognizing the application type of the flow data. By the adoption of the method and system for recognizing the application type of the flow data, the application type of the flow data can be recognized with both high efficiency and high precision.

Description

technical field [0001] The present invention relates to the communication field, and more specifically, to a method and system for identifying application types of flow data. Background technique [0002] Among the existing technologies, the methods for identifying network traffic categories mainly include: port-based classification technology, load-based classification technology, behavior-based classification technology, traffic statistical characteristics and machine learning-based classification technology, and traffic propagation map-based classification technology. However, although the port-based classification method has high efficiency, its accuracy is poor; the load-based classification method can only identify plaintext traffic, but cannot handle encrypted traffic, and is not suitable for high-level networks; although the machine learning-based classification method has a high The recognition rate can identify encrypted traffic, but there is a problem of low robu...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26
Inventor 董辉胡晓赟陈云飞熊亚军
Owner BEIJING BAIDU NETCOM SCI & TECH CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products