Advanced Phishing Detection: Leveraging t-SNE Feature Extraction and Machine Learning on a Comprehensive URL Dataset
Phishing attacks continue to pose a major challenge in today’s digital world; thus, sophisticated detection techniques are required to address constantly changing tactics. In this paper, we have proposed an innovative method to identify phishing attempts using the extensive PhiUSIIL dataset. The pro...
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| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Istanbul University Press
2024-12-01
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| Series: | Acta Infologica |
| Subjects: | |
| Online Access: | https://cdn.istanbul.edu.tr/file/JTA6CLJ8T5/387F7F752F1E4955A3FAF85C7879849A |
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