Identification of DNS covert channel based on improved convolutional neural network |
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Authors: | Meng ZHANG Haoliang SUN Peng YANG |
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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 |
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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. |
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Keywords: | covert channel domain name system convolutional neural network |
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