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A method and system for identifying application traffic

A technology for applying traffic and identification methods, applied in the field of computer network traffic monitoring and performance analysis, can solve problems such as unidentifiable traffic, and achieve the effect of improving the accuracy of identification

Active Publication Date: 2017-02-15
INST OF COMPUTING TECH CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an application traffic identification method and its system to solve the problem in the prior art that traffic cannot be identified by relying on a single feature in complex application traffic

Method used

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  • A method and system for identifying application traffic
  • A method and system for identifying application traffic
  • A method and system for identifying application traffic

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Embodiment Construction

[0056] Specific embodiments of the present invention are given below, and the present invention is described in detail in conjunction with the drawings.

[0057] The method for identifying application traffic based on associated features proposed by the present invention includes the following key steps:

[0058] 1. Analyze the association relationship between single features of application traffic, use the fixed association relationship as the association feature of the application traffic, and generate association identification rules. The content of the rules includes the associated single feature and the fixed association relationship between single features , stored in the recognition rule base;

[0059] 2. In the process of traffic identification, when an associated identification rule is matched, it is necessary to check the association relationship between each associated single feature and the single feature in turn and record the matching situation. Only when all ass...

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Abstract

The invention discloses an application flow recognition method and system. In the method, flow recognition is carried out based on relevance recognition rules. The method includes the steps of relevance recognition rule generation and relevance recognition rule matching. The relevance recognition rule generating step is used for extracting single features of application flow, generating the relevance recognition rules according to incidence relations of the single features and storing the relevance recognition rules into a recognition rule base; the relevance recognition rule matching step is used for simultaneously matching the single features and the relevance recognition rules so as to recognize the application flow.

Description

technical field [0001] The invention relates to computer network traffic monitoring and performance analysis, in particular to a method for identifying application traffic based on associated features in an actual network environment. Background technique [0002] Traffic identification is the basis for network traffic management and control. Improving the accuracy of traffic identification is very important to improve the effectiveness of network management and monitoring. Traditional traffic identification methods include methods based on fixed port identification, data packet content feature identification, stream transmission behavior feature identification, etc. However, with the development of network applications, network traffic is becoming more and more complex, bringing traffic identification up the challenge. [0003] Traditional traffic identification methods, whether based on port identification or data packet content feature identification, are all based on a ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): H04L12/26
Inventor 郑红霞张广兴谢高岗贺泰华
Owner INST OF COMPUTING TECH CHINESE ACAD OF SCI
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