Phishing Email Curated Datasets
<p>We have curated 11 datasets spanning from 1995 to 2022.</p> <p>If you use this datasets, please cite:<br>1. A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Why phishing emails escape detection: A closer look at the failure points,” in <em>12th Interna- tional Symposium on Digital Forensics and Security (ISDFS)</em>, 2024, pp. 1–6.<br>2. A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Curated datasets and feature analysis for phishing email detection with machine learning,” in 3rd IEEE International Conference on Computing and Machine Intelligence (ICMI), 2024, pp. 1–7.</p> <p><br>Bibtext:<br>1. @inproceedings{champa2024phishing,<br> title={Why Phishing Emails Escape Detection: A Closer Look at the Failure Points},<br> author={Champa, Arifa I and Rabbi, Fazle and Zibran, Minhaz F},<br> booktitle={2024 12th International Symposium on Digital Forensics and Security (ISDFS)},<br> pages={1--6},<br> year={2024},<br> organization={IEEE}<br>}</p> <p>2. @inproceedings{champa2024curated,<br> title={Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning},<br> author={Champa, Arifa I and Rabbi, Md Fazle and Zibran, Minhaz F},<br> booktitle={3rd IEEE International Conference on Computing and Machine Intelligence (ICMI)},<br> pages = {1--7},<br> year={2024}<br>}</p>
ShareScore
36/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 4
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0
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