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Method and device for generating images in batches through network traffic

A technology for network traffic and image generation, applied in the field of artificial intelligence, it can solve problems such as high computational complexity, inability to obtain correlation information between continuous network traffic, and inability to extract sequential and spatial characteristics of continuous network traffic, so as to reduce complexity and improve The effect of efficiency

Active Publication Date: 2020-02-07
UNIV OF SCI & TECH BEIJING
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0007] The technical problem to be solved by the present invention is to provide a method and device for generating network traffic images in batches, so as to solve the problem of high computational complexity in the prior art, which only generates a single traffic sample at a time, and cannot obtain continuous network traffic data. The association information of the network leads to the problem that the temporal and spatial characteristics of continuous network traffic cannot be extracted

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  • Method and device for generating images in batches through network traffic
  • Method and device for generating images in batches through network traffic
  • Method and device for generating images in batches through network traffic

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Embodiment 1

[0063] Such as Figure 5 As shown, the method for generating images in batches from network traffic provided by the embodiment of the present invention includes:

[0064] S101. Obtain an original network traffic data set and corresponding category labels;

[0065] S102, initialize the height H and width W of the image generated by the network traffic, and optimize H and W according to the requirements of the classification model for the input image; wherein, H is used to reflect the time and space characteristic information of the network traffic, and W is used to reflect Network traffic characteristic number;

[0066] S103, according to the optimized H, use a window-based data extraction algorithm to extract data from the original network traffic data set, generate a grayscale image corresponding to the extracted data set according to the optimized H and W, and obtain a network traffic image set.

[0067] The method for generating images in batches from network traffic acco...

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Abstract

The invention provides a method and a device for generating images in batches by network traffic, which can efficiently generate images in batches from original network traffic data. The method comprises the following steps: acquiring an original network traffic data set and a corresponding category label; initializing the height H and the width W of the network flow generation image, and optimizing the H and the W according to the requirements of the classification model on the input image, wherein H is used for reflecting network flow time and space characteristic information, and W is usedfor reflecting a network flow characteristic number; and performing data extraction on the original network traffic data set by adopting a window-based data extraction algorithm according to the optimized H, and generating a grayscale image corresponding to the extracted data set according to the optimized H and W to obtain a network traffic image set. The method is applied to the field of networksecurity.

Description

technical field [0001] The present invention relates to the field of artificial intelligence, in particular to a method and device for generating images in batches from network traffic. Background technique [0002] With the development of artificial intelligence technology, the application of deep learning in the field of network security is also increasing. However, the original network traffic data cannot meet the input requirements of some deep learning models, which limits the further development of deep learning technology in the field of network security. Therefore, the existing technology performs complex calculations such as covariance calculation or Euler transformation through the correlation information between network traffic features, and generates network traffic data as a grayscale image to meet the input requirements of the classification model. However, the existing technology has high complexity and a large amount of calculation, and most methods only gen...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L12/26G06K9/62
CPCH04L43/045H04L43/0876G06F18/241
Inventor 陈红松陈京九
Owner UNIV OF SCI & TECH BEIJING