Equity network flux detection method based on supporting vector machine

Abstract

Provided is a P2P flow detecting method based on a support vector machine according to an opposite network flow detecting method of support vector machine, realizing P2P flow detecting problems through using the support vector machine, wherein technology of the support vector machine is applied in P2P flow detection in practical network, for solving detecting problems of P2P flow. The method comprises two phases: a training phase of the support vector machine and a practical P2P flow decision phase of the support vector machine: applying pattern classifier support vector machine technology with high precision in the P2P flow detection of the network, for solving the detecting problems of P2P flow. Compared with other flow detecting method, a rule is discovered through digging practical flow of the network, sort of known data is predicted, and identifying working with larger flow is completed to advance sorting performance through learning, also it is suitable to detect known P2P flow and cryptographic P2P flow.

Description

technical field [0001] The invention proposes a P2P flow detection method based on a support vector machine, uses the support vector machine technology to realize the P2P flow detection problem, and belongs to the field of distributed computing security. Background technique [0002] With the rise of P2P network technology in the late 1990s, P2P traffic has gradually become an important part of Internet traffic. Accurate identification of P2P traffic is of great significance for effective network management and rational use of network resources. [0003] At present, the P2P traffic detection technology generally has the following three categories: port-based detection technology, deep data packet detection side technology and traffic characteristic-based detection technology. [0004] The port-based analysis method is the most basic and direct method to detect P2P users in network traffic. However, most P2P applications now allow users to manually select random port number...

AI Technical Summary

Problems solved by technology

[0020] Technical problem: the purpose of the present invention is to provide a kind of peer-to-peer network traffic detection method based on support vector machine, the pattern classifier support vector machine technology that the accuracy is very high in the field of machine learning is applied in the P2P traffic detection in the network, solves P2P traffic detection problem

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