Ensemble transfer learning for cross-dataset phishing detection
Machine learning-based phishing detection models suffer from significant performance degradation when deployed across different datasets, a critical challenge that limits their real-world applicability. This research addresses this cross-dataset generalization problem by developing and validating a...
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| Hlavní autoři: | , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Elsevier
2026-06-01
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| Edice: | Franklin Open |
| Témata: | |
| On-line přístup: | http://www.sciencedirect.com/science/article/pii/S2773186326000952 |
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