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A protocol independent approach for network covert channel detection.

C 28.77% Python 71.23%
covert-channel machine-learning ipv4 tcp dns

networkcovertchannel's Introduction

Network Covert Channel Detection

This is a protocol independent approach to detect network covert channel in Network, Transport, and Application layer. The repository contains Python codes that we developed to extract covert channel packet information from PCAP files. Then, having the data extracted, we ran supervised machine learning techniques to produce prediction results of labelled data.

The work has been published at the 22nd IEEE International Conference on Computational Science and Engineering (IEEE CSE 2019).

Citing this work

If you use our implementation for academic research, you are highly encouraged to cite our paper.

@inproceedings{ayub2019protocol,
  title={A Protocol Independent Approach in Network Covert Channel Detection},
  author={Ayub, Md Ahsan and Smith, Steven and Siraj, Ambareen},
  booktitle={2019 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC)},
  pages={165--170},
  year={2019},
  organization={IEEE}
}

The work has been funded by Cybersecurity Education, Research & Outreach Center (CEROC) at Tennessee Tech University.

networkcovertchannel's People

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networkcovertchannel's Issues

I need the covert channel dataset

    Hello,Dear Mr, I'm soory to bother you at this time. I am a investigator of covert channel and I'm very interested  in your paper-A Protocol Independent Approach in Network. I want to contiue  my research  based your achievement,but I don't have your experiment dataset which casuing a  diffcult probelm to me. I will be rally grateful if you can share your covert chaneel dataset used in your paper.I think this dataset is very helpful to my research. 
   filnally,expressing my sincerely gratitude to you again.

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