A multistage verification method for malicious URL detection using feature selection heuristic rules and machine learning
Abstract Malicious Uniform Resource Locators (URLs) have always been used to conduct cyberattacks. Existing malicious URL detection methods are facing challenges in maintaining high detection accuracy, adapting to evolving attack patterns, and relying on unoptimized feature sets. This paper proposes...
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| Автори: | , , , , , , |
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| Формат: | Artigo |
| Мова: | Inglês |
| Опубліковано: |
Springer
2026-06-01
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| Серія: | Discover Computing |
| Предмети: | |
| Онлайн доступ: | https://doi.org/10.1007/s10791-026-10311-w |
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