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Classification method and electronic equipment

A classification method and technology of electronic equipment, applied in the electronic field, can solve problems such as complex traffic classification methods, and achieve the effects of solving complex traffic classification methods, reducing computational complexity, and avoiding singularity problems

Active Publication Date: 2016-07-27
SICHUAN JIUZHOU ELECTRIC GROUP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] Embodiments of the present invention provide a classification method and electronic equipment, which are used to solve the technical problem of complex traffic classification methods in the prior art

Method used

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  • Classification method and electronic equipment
  • Classification method and electronic equipment
  • Classification method and electronic equipment

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0070] Please refer to figure 1 , an embodiment of the present invention provides a classification method, including:

[0071] S101: Determine at least one node in the network;

[0072] S102: Obtain communication information between any two nodes in the at least one node;

[0073] S103: Construct a connection graph corresponding to the at least one node based on the communication information between any two nodes;

[0074] S104: Determine the similarity of any two nodes in the at least one node based on the communication information between the connection graph and the any two nodes, and determine a similarity matrix;

[0075] S105: Perform spectral clustering on the similarity matrix by using a spectral clustering algorithm to obtain a clustering result.

[0076] Specifically, in this embodiment, step S101: determine at least one node in the network, in the specific implementation process, mainly through the following steps: determine at least one node in the network based...

Embodiment 2

[0105] Please refer to image 3 , the embodiment of the present application also provides an electronic device, including:

[0106] a storage unit 301, configured to store at least one program module;

[0107] At least one processor 302, the at least one processor is used to determine at least one node in the network by obtaining and running the at least one program module; obtaining communication between any two nodes in the at least one node information; based on the communication information between any two nodes, construct a connection graph corresponding to the at least one node; based on the communication information between the connection graph and the any two nodes, determine the at least The similarity of any two nodes in a node is determined to determine a similarity matrix; spectral clustering is performed on the similarity matrix by using a spectral clustering algorithm to obtain a clustering result.

[0108] Optionally, the at least one processor is also used fo...

Embodiment 3

[0125] Please refer to Figure 4 , the embodiment of the present application also provides an electronic device, including:

[0126] A first determining unit 401, configured to determine at least one node in the network;

[0127] A first obtaining unit 402, configured to obtain communication information between any two nodes in the at least one node;

[0128] The first construction unit 403 is configured to construct a connection graph corresponding to the at least one node based on the communication information between any two nodes;

[0129] The second determination unit 404 is configured to determine the similarity of any two nodes in the at least one node based on the communication information between the connection graph and the any two nodes, and determine a similarity matrix;

[0130] The first classification unit 405 is configured to perform spectral clustering on the similarity matrix by using a spectral clustering algorithm to obtain a clustering result.

[0131] ...

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Abstract

The invention discloses a classification method and electronic equipment. The method comprises: determining one or more nodes in a network; acquiring communication information between any two nodes in the one or more nodes; constructing a connection graph corresponding to the one or more nodes based on the communication information between the any two nodes; determining the similarity between any two nodes in the one or more nodes based on the connection graph and the communication information between the any two nodes, and determining a similarity matrix; and performing spectral clustering on the similarity matrix by use of a spectral clustering algorithm to obtain a clustering result. The method provided by the invention can solve a technical problem of a complicated traffic classification method in the prior art.

Description

technical field [0001] The invention relates to the field of electronic technology, in particular to a classification method and electronic equipment. Background technique [0002] Traffic classification technology is widely used in the field of network measurement and information security. On the one hand, network communication resources are optimized according to the real-time requirements of applications; on the other hand, real-time traffic classification identifies and monitors abnormal network traffic in advance. Traditional network traffic identification technologies mainly include protocol identification methods based on port identification and deep packet inspection. With the continuous development of P2P technology, peer-to-peer networks have been widely used in file sharing, instant messaging, streaming media transmission and other fields, and In the application of other emerging Internet services, a large number of dynamic ports and protocol encryption technologi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/851G06K9/62
CPCH04L47/2441G06F18/2323G06F18/24
Inventor 杨芳勋
Owner SICHUAN JIUZHOU ELECTRIC GROUP
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