Hierarchical classification method for internet flow

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...

AI Technical Summary

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 cover all network applications and has good scalability, that is, to identify unknown traffic and encryption traffic, and has good flexibility to apply to the requirements of various network monitoring points

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