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: amoubaye@uwo.ca
Dr. Abdallah Shami: ashami2@uwo.ca