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P2P flow detecting system based on flow statistical characteristics and fuzzy pattern recognition

A technology of fuzzy pattern recognition and P2P traffic, which is applied in transmission systems, digital transmission systems, electrical components, etc., can solve problems such as undetectable encryption applications, and achieve good feasibility and recognition effects

Inactive Publication Date: 2015-01-14
CHANGSHU RES INSTITUE OF NANJING UNIV OF SCI & TECH
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Problems solved by technology

However, these technologies have limitations, such as the inability to detect encrypted applications, coarse-grained detection, etc.

Method used

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  • P2P flow detecting system based on flow statistical characteristics and fuzzy pattern recognition
  • P2P flow detecting system based on flow statistical characteristics and fuzzy pattern recognition

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Embodiment Construction

[0015] The present invention will be described in further detail below in conjunction with the accompanying drawings.

[0016] The P2P flow detection system based on flow statistical characteristics and fuzzy pattern recognition of the present invention includes: a data packet acquisition module for capturing network data packets; a flow feature extraction module for integrating feature extraction into feature vectors; a fuzzy detection module , for pattern recognition and classification using fuzzy models, figure 1 It is a flow detection system structure diagram, and its specific detection steps are as follows:

[0017] The first step is to use the WinPcap function of the Wireshark software on the PC terminal to adopt a passive monitoring method to intercept data packets, perform statistical analysis on the collected data packets and extract traffic characteristics;

[0018] The second step is to use the FCBF algorithm to extract traffic characteristic attributes to remove i...

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Abstract

The invention relates to the technical field of P2P flow detection, and particularly to a P2P flow detecting system based on combination of flow statistical characteristics and fuzzy pattern recognition. The detecting process of the P2P flow detecting system particularly comprises the following detecting steps: a first step, acquiring a data packet, performing statistical analysis on the acquired data message through the acquired data packet; a second step, performing characteristic selection by means of an FCBF algorithm; and a third step, setting a model determining rule according to a maximum subordination principle, and according to the extracted flow characteristic, determining input modes according to a maximum subordination principle classifying method in fuzzy recognition, thereby classifying the input modes. According to the P2P flow detecting system, a fuzzy recognition model in an intelligent system is combined with the flow statistical characteristics of network data; and the fuzzy recognition model and the flow statistical characteristics of the network flow are applied in P2P flow detection, thereby realizing high feasibility and good recognition effect.

Description

technical field [0001] The invention relates to the technical field of P2P flow detection, in particular to a P2P flow detection system based on the combination of flow statistical characteristics and fuzzy pattern recognition. Background technique [0002] With the rapid development of P2P technology, related applications have accounted for 60% - 80%, and most of the traffic in the network is P2P traffic. In order to save bandwidth resources, many corresponding traffic detection technologies and methods have emerged. For example, fixed port number scanning, protocol signature-based scanning, and traffic signature-based scanning, etc. However, these technologies have constraints, such as the inability to detect encrypted applications, and coarse-grained detection. [0003] Fuzzy mathematics theory provides a relatively complete set of systematic methods for finding regularity from small sample data, and can find the minimum prediction rule set describing the normal model, ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26H04L29/08
Inventor 李千目李嘉侯君戚湧
Owner CHANGSHU RES INSTITUE OF NANJING UNIV OF SCI & TECH
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