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Malicious domain name detection method and device based on deep learning

A deep learning and domain name technology, applied in the field of network security, can solve the problems of low accuracy rate and achieve the effect of improving accuracy rate and accuracy

Inactive Publication Date: 2020-02-14
HANGZHOU ANHENG INFORMATION TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of this, the object of the present invention is to provide a method and device for detecting a malicious domain name based on deep learning, so as to alleviate the technical problem of low accuracy in detecting whether the domain name to be detected is a malicious domain name in the existing domain name detection method

Method used

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  • Malicious domain name detection method and device based on deep learning
  • Malicious domain name detection method and device based on deep learning
  • Malicious domain name detection method and device based on deep learning

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Embodiment 1

[0025] According to an embodiment of the present invention, an embodiment of a method for detecting a malicious domain name based on deep learning is provided. It should be noted that the steps shown in the flow chart of the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions , and, although a logical order is shown in the flowcharts, in some cases the steps shown or described may be performed in an order different from that shown or described herein.

[0026] figure 1 is a flow chart of a method for detecting malicious domain names based on deep learning according to an embodiment of the present invention, such as figure 1 As shown, the method includes the following steps:

[0027] Step S102, obtaining the domain name to be detected;

[0028] Step S104, analyzing the domain name to be detected to obtain message information of the domain name to be detected;

[0029] Step S106, based on a natural language processing a...

Embodiment 2

[0055] The present invention also provides an embodiment of a deep learning-based malicious domain name detection device, which is used to implement the deep learning-based malicious domain name detection method provided in the above-mentioned content of the embodiment of the present invention. The following is provided by the embodiment of the present invention A detailed introduction to the malicious domain name detection device based on deep learning.

[0056] Such as image 3 As shown, the above-mentioned malicious domain name detection device based on deep learning includes: an acquisition unit 10 , an analysis unit 20 , an extraction unit 30 and a detection unit 40 .

[0057] The obtaining unit 10 is used to obtain the domain name to be detected;

[0058] The parsing unit 20 is configured to parse the domain name to be detected to obtain message information of the domain name to be detected;

[0059] The extraction unit 30 is configured to process message information o...

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Abstract

The invention provides a malicious domain name detection method and device based on deep learning, and relates to the technical field of network security, and the method comprises the steps: obtaininga to-be-detected domain name; analyzing the domain name to be detected to obtain message information of the domain name to be detected; processing the message information of the to-be-detected domainname based on a natural language processing algorithm and a text feature extraction algorithm to obtain feature information of the to-be-detected domain name; inputting the feature information into adeep learning model; wherein the detection result represents whether the domain name to be detected is a malicious domain name or not, wherein the deep learning model is a learning model constructedbased on a convolutional neural network and a full connection layer, so that the technical problem of relatively low accuracy of detecting whether the domain name to be detected is the malicious domain name or not in an existing domain name detection method is solved.

Description

technical field [0001] The present invention relates to the technical field of network security, in particular to a method and device for detecting malicious domain names based on deep learning. Background technique [0002] With the development of the Internet, thousands of domain names are registered every day. How to detect malicious domain names from massive domain names has become an important issue for network attack detection and defense. However, currently commonly used detection techniques are mainly based on regular expressions and white lists, which have a high false positive rate. [0003] For the above problems, no effective solution has been proposed yet. Contents of the invention [0004] In view of this, the object of the present invention is to provide a method and device for detecting a malicious domain name based on deep learning, so as to alleviate the technical problem of low accuracy in detecting whether the domain name to be detected is a malicious ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): H04L29/06G06N3/04G06N3/08
CPCH04L63/1408G06N3/08G06N3/045
Inventor 仝哲范渊
Owner HANGZHOU ANHENG INFORMATION TECH CO LTD