Hierarchical classification method for internet flow

A technology of Internet traffic and classification methods, applied in the field of classification and classification of Internet traffic, to achieve the effects of reducing classification complexity, accurate identification and processing, and improving classification performance

Inactive Publication Date: 2012-03-28
ZHEJIANG WANLI UNIV
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Problems solved by technology

At present, it is almost impossible to achieve the efficient, accurate, intelligent and real-time identification of Internet traffic classification only by relying on a single classification method, which can

Method used

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  • Hierarchical classification method for internet flow
  • Hierarchical classification method for internet flow
  • Hierarchical classification method for internet flow

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Embodiment Construction

[0044] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0045] Such as figure 1 As shown, the present invention provides a kind of Internet traffic classifying method, and it comprises the following steps:

[0046] A. Coarse-grained classification: Use machine learning-based flow statistics to quickly classify network traffic, and divide network traffic into application categories with different characteristics. If the traffic identified by coarse-grained classification needs to be used, it will be directly output. If further classification is required , then go to the next step;

[0047] The first level is coarse-grained classification, which uses machine learning-based traffic statistics to classify network traffic. Since the load characteristics of protocols and applications and the protocol ports used can be changed, it is difficult to change the characteristics of protocols and busi...

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Abstract

The invention relates to a hierarchical classification method for internet flow, comprising the following steps: firstly, coarse grained classification is conducted as follows: a flow statistical property method based on machine learning is adopted for quickly classifying network flow, the network flow is divided into applied categories with different characteristics, if the flow distinguished by the coarse grained classification needs to be used, the flow can be output directly, and if the flow needs further classification, next step is conducted; and secondly, fine grained classification is conducted as follows: classification is further conducted on the applied categories distinguished by the coarse grained classification, the network flow can be intelligently, accurately and effectively identified in real time, good integrity and expandability are realized, and the requirements on the internet flow classification with different application targets and classification grain size can be met.

Description

Technical field: [0001] The invention relates to the technical field of Internet traffic classification, in particular to a hierarchical classification method for Internet traffic. Background technique: [0002] Accurate classification and identification of Internet traffic is the premise and foundation of network behaviors such as network traffic engineering, network management and security monitoring, network design and planning. Efficient, accurate and real-time identification of Internet traffic is essential for analyzing network development trends, providing quality of service (QoS) guarantees, realizing dynamic access control and routing decisions, conducting legal and effective network management and control, detecting abnormal network behaviors and improving network security etc. have very important practical significance, and at the same time provide adaptive capabilities for the further development of the Internet. [0003] Currently, Internet traffic classificati...

Claims

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Application Information

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IPC IPC(8): H04L12/56H04L29/06
Inventor 李君朱健蓉斯科忆张莱蕾张韡珺
Owner ZHEJIANG WANLI UNIV
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