Independent learning based peer-to-peer (P2P) network flow identification method

A peer-to-peer network and traffic identification technology, applied in the field of P2P network, can solve the problem that DFI cannot adjust the identification rate by itself, and achieve the effect of improving the accuracy

Active Publication Date: 2013-09-18
INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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  • Abstract
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AI Technical Summary

Problems solved by technology

This method can not only identify encrypted P2P network traffic, but also overcome the problems of DFI's inability to self-adjust and low recognition rate

Method used

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  • Independent learning based peer-to-peer (P2P) network flow identification method
  • Independent learning based peer-to-peer (P2P) network flow identification method
  • Independent learning based peer-to-peer (P2P) network flow identification method

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Experimental program
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Embodiment Construction

[0062] The method of the present invention is to propose a method to extract P2P traffic through NetFilter technology, then use DPI technology to identify, and add the characteristics of the identified P2P traffic to the IP address list, and then combine machine learning technology with DFI identification Combined, it can carry out self-learning, and at the same time, use the IP address list to verify the self-learning DFI identification, so that the entire identification process forms a closed-loop system and enhances its self-learning ability. The specific implementation is as follows:

[0063] Step 1). When the traffic passes through the host computer equipped with the system, use the HOOK function to capture the data packets according to the Netfilter architecture of Linux;

[0064] Step 2). Perform corresponding statistics on the captured data packets; analyze the IP layer of the data packets to determine whether the data packet is a TCP message or a UDP message, and if it...

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Abstract

An independent learning based P2P network flow identification method is an efficient and accurate P2P flow identification method, and a deep packet inspection (DPI) method and a deep flow inspection (DFI) method as well as P2P flow identified by the DPI are used for verifying machine learning based DFI identification results to achieve automatic learning. The problems that DFI cannot be adjusted automatically and the identification rate is low are solved. According to the P2P network flow identification method with the independent learning capacity, the P2P flow is extracted through a Net Filter technology, the DPI technology is used for identification, recognized P2P flow characteristics are added in an internet protocol (IP) address list, and the machine learning based DFI identification results are verified, so that the whole identification process forms a closed-loop system.

Description

technical field [0001] The invention is a P2P traffic identification method applied to Internet traffic management, which improves the identification accuracy under the premise of ensuring efficiency, and belongs to the technical field of P2P network. [0002] Background technique [0003] In recent years, the rapid development of P2P technology has brought rich and convenient network sharing resources to users. In the current Internet, P2P network traffic has already occupied more than 80% of the existing Internet network bandwidth, such as P2P network sharing systems (BT, EMULE, EDonkey, ARES, etc.), P2P voice communication software (such as SKYPE, MSN, QQ, Gtalk, etc.), P2P video-on-demand systems (PPLIVE, PPSTREAM, etc.) The problem. How to identify and further manage and control P2P traffic, and apply it effectively and reasonably has become an urgent problem to be solved. [0004] The present invention firstly analyzes the advantages and disadvantages of the current...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L29/08
Inventor 肖甫闫海军王汝传韩志杰王少辉
Owner INST OF BIG DATA RES AT YANCHENG OF NANJING UNIV OF POSTS & TELECOMM
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