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This repository contains the datasets used as part of the OC2 lab's work on DNS Typosquatting Detection using machine learning methods

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DNS_Typosquatting_Detection_Datasets

Description:

This repository contains the datasets used as part of the OC2 lab's work on DNS Typosquatting Detection using machine learning methods.

The repository contains 2 folders:

  • "Codes" folder: contains the Matlab codes used to process the raw datasets and generate the processed datasets.
  • "Datasets" folder: Contains the raw and processed datasets used in this project.

Citations:

If you use these datasets, please cite the following works (corresponding Bibtex entry is provided):

  • A. Moubayed, E. Aqeeli, and A. Shami, “Detecting DNS Typo-squatting Using Ensemble-based Feature Selection & Classification Models”, IEEE Canadian Journal of Electrical & Computer Engineering, 2021, doi: 10.1109/ICJECE.2021.3072008

@ARTICLE{DNS_CJECE2021,

author={Moubayed, Abdallah and Aqeeli, Emad and Shami, Abdallah},

journal={IEEE Canadian Journal of Electrical & Computer Engineering},

title={Detecting DNS Typo-squatting Using Ensemble-based Feature Selection & Classification Models},

year={2021},

volume={},

number={},

pages={1 - 11},

doi={10.1109/ICJECE.2021.3072008},

  • A. Moubayed, E. Aqeeli and A. Shami, "Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection," 2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE), 2020, pp. 1-6, doi: 10.1109/CCECE47787.2020.9255697.

@INPROCEEDINGS{DNS_CCECE2020,

author={Moubayed, Abdallah and Aqeeli, Emad and Shami, Abdallah},

booktitle={2020 IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)},

title={Ensemble-based Feature Selection and Classification Model for DNS Typo-squatting Detection},

year={2020},

pages={1-6},

doi={10.1109/CCECE47787.2020.9255697}}

  • A. Moubayed, M. Injadat, A. Shami and H. Lutfiyya, "DNS Typo-Squatting Domain Detection: A Data Analytics & Machine Learning Based Approach," 2018 IEEE Global Communications Conference (GLOBECOM), 2018, pp. 1-7, doi: 10.1109/GLOCOM.2018.8647679.

@INPROCEEDINGS{DNS_GLOBECOM2018,

author={Moubayed, Abdallah and Injadat, MohammadNoor and Shami, Abdallah and Lutfiyya, Hanan},

booktitle={2018 IEEE Global Communications Conference (GLOBECOM)},

title={DNS Typo-Squatting Domain Detection: A Data Analytics amp; Machine Learning Based Approach},

year={2018},

pages={1-7},

doi={10.1109/GLOCOM.2018.8647679}}

Contact Information:

Feel free to contact us for any questions or collaboration opportunities.

Dr. Abdallah Moubayed: [email protected]

Dr. Abdallah Shami: [email protected]

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This repository contains the datasets used as part of the OC2 lab's work on DNS Typosquatting Detection using machine learning methods

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