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Identification of DNS covert channel based on improved convolutional neural network
Authors:Meng ZHANG  Haoliang SUN  Peng YANG
Affiliation:1. Institute of Cyberspace,China Center for Information Industry Development,Beijing 100846,China;2. National Computer Network Emergency Response Technical Team/Coordination Center of China,Beijing 100029,China
Abstract: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.
Keywords:covert channel  domain name system  convolutional neural network  
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