Identification of DNS covert channel based on improved convolutional neural network
In order to effectively identify the multiple types of DNS covert channels,the implementation of different sorts of DNS covert channel software was studied,and a detection based on the improved convolutional neural network was proposed.The experimental results,grounded upon the campus network traffi...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2020-01-01
|
| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020017 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1850211435068522496 |
|---|---|
| author | Meng ZHANG Haoliang SUN Peng YANG |
| author_facet | Meng ZHANG Haoliang SUN Peng YANG |
| author_sort | Meng ZHANG |
| collection | DOAJ |
| description | In order to effectively identify the multiple types of DNS covert channels,the implementation of different sorts of DNS covert channel software was studied,and a detection based on the improved convolutional neural network was proposed.The experimental results,grounded upon the campus network traffic,show that the detection can identify twenty-two kinds of data interaction modes of DNS covert channels and is able to identify the unknown DNS covert channel traffic.The proposed method outperforms the existing methods. |
| format | Article |
| id | doaj-art-210e802de78e4e97b12aa92dced6fb2a |
| institution | OA Journals |
| issn | 1000-436X |
| language | zho |
| publishDate | 2020-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-210e802de78e4e97b12aa92dced6fb2a2025-08-20T02:09:34ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2020-01-014116917959732807Identification of DNS covert channel based on improved convolutional neural networkMeng ZHANGHaoliang SUNPeng YANGIn order to effectively identify the multiple types of DNS covert channels,the implementation of different sorts of DNS covert channel software was studied,and a detection based on the improved convolutional neural network was proposed.The experimental results,grounded upon the campus network traffic,show that the detection can identify twenty-two kinds of data interaction modes of DNS covert channels and is able to identify the unknown DNS covert channel traffic.The proposed method outperforms the existing methods.http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020017covert channel;domain name system;convolutional neural network |
| spellingShingle | Meng ZHANG Haoliang SUN Peng YANG Identification of DNS covert channel based on improved convolutional neural network Tongxin xuebao covert channel;domain name system;convolutional neural network |
| title | Identification of DNS covert channel based on improved convolutional neural network |
| title_full | Identification of DNS covert channel based on improved convolutional neural network |
| title_fullStr | Identification of DNS covert channel based on improved convolutional neural network |
| title_full_unstemmed | Identification of DNS covert channel based on improved convolutional neural network |
| title_short | Identification of DNS covert channel based on improved convolutional neural network |
| title_sort | identification of dns covert channel based on improved convolutional neural network |
| topic | covert channel;domain name system;convolutional neural network |
| url | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2020017 |
| work_keys_str_mv | AT mengzhang identificationofdnscovertchannelbasedonimprovedconvolutionalneuralnetwork AT haoliangsun identificationofdnscovertchannelbasedonimprovedconvolutionalneuralnetwork AT pengyang identificationofdnscovertchannelbasedonimprovedconvolutionalneuralnetwork |