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We have curated 11 datasets spanning from 1995 to 2022. If you use this datasets, please cite:1. A. I. Champa, M. F. Rabbi, and M. F. Zibran, “Why phishing emails escape detection: A closer look at the failure points,” in 12th Interna- tional Symposium on Digital Forensics and Security (ISDFS), 2024, pp. 1–6.2. 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. Bibtext:1. @inproceedings{champa2024phishing, title={Why Phishing Emails Escape Detection: A Closer Look at the Failure Points}, author={Champa, Arifa I and Rabbi, Fazle and Zibran, Minhaz F}, booktitle={2024 12th International Symposium on Digital Forensics and Security (ISDFS)}, pages={1--6}, year={2024}, organization={IEEE}} 2. @inproceedings{champa2024curated, title={Curated Datasets and Feature Analysis for Phishing Email Detection with Machine Learning}, author={Champa, Arifa I and Rabbi, Md Fazle and Zibran, Minhaz F}, booktitle={3rd IEEE International Conference on Computing and Machine Intelligence (ICMI)}, pages = {1--7}, year={2024}}
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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