Attention enhancement method for binary traffic data generated image

A technology for generating images from traffic data, applied in image enhancement, image analysis, image data processing, etc., can solve problems such as economic loss and damage increase, and achieve the effect of enhancing attention, speed, and rapid convergence

Pending Publication Date: 2021-08-13
NANJING UNIV OF INFORMATION SCI & TECH
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

At present, the damage caused by malicious traffic attacks on the network has also increased significantly, causing huge economic losses.

Method used

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  • Attention enhancement method for binary traffic data generated image
  • Attention enhancement method for binary traffic data generated image
  • Attention enhancement method for binary traffic data generated image

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Experimental program
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Embodiment Construction

[0046] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0047] Such as figure 1 As shown, a kind of attention enhancement method for binary traffic data generation image according to the present invention comprises the following steps:

[0048] (1) The USTC-TFC2016 data set used, the data set USTC-TFC2016 contains two parts, one is the 10 kinds of malicious traffic selected from the data set collected by the researchers of CTU University, and the other is the collected 10 kinds of normal traffic , with a total size of 3.71GB. This data set is relatively scientific and has been made public; the effective part of the binary frame sequence in the original traffic data set is intercepted, and the intercepted effective part is converted into a two-dimensional grayscale image; specifically includes:

[0049](1.1) Intercept 784 bytes of the original traffic in the data set as valid frames, one byte is 8 ...

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Abstract

The invention discloses an attention enhancement method for generating an image by aiming at binary traffic data, which comprises the following steps of: carrying out frame decomposition on original traffic data, dividing a traffic data packet format file by taking a data packet as a boundary, and converting the traffic data packet format file into a continuous image frame sequence; after converting flow data into a two-dimensional gray-scale image, performing feature extraction on the two-dimensional gray-scale image, taking the extracted features as root nodes, finding three longest weighted paths through traversal calculation, and finding three pixel sets with optimal attention by backtracking the three longest weighted paths; carrying out corresponding three-channel 'dyeing' on the three pixel sets, and generating a two-dimensional color image with attention enhanced; and finally, sending the two-dimensional color image to a CNN network for training, detection and classification. According to the method, the spatial characteristics of the data are enhanced, the flow detection precision is effectively improved, and the method has certain universality.

Description

technical field [0001] The invention relates to the field of flow detection, in particular to an attention enhancement method for generating images from binary flow data. Background technique [0002] In recent years, as the size of computer networks and the applications that have been developed have grown exponentially, the amount of network traffic has also exploded and is varied and increasing. The rapid growth of mobile devices and the increasing popularity of mobile applications and services are placing unprecedented demands on mobile and wireless network infrastructure. In order to better adapt to a large number of applications such as audio, video, and P2P, a tool that can accurately and quickly classify network traffic is needed, which can not only maintain the order of the network, but also improve the speed of the network. At present, the damage caused by malicious network traffic attacks has also increased significantly, causing huge economic losses. However, as...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/00G06K9/46G06K9/62G06N3/04G06N3/08
CPCG06T5/007G06N3/04G06N3/08G06T2207/20081G06T2207/20084G06V10/40G06F18/214G06F18/24
Inventor 刘雅菊陆玉江鹿文昊
Owner NANJING UNIV OF INFORMATION SCI & TECH
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