Benchmarking the adversarial resilience of machine learning models for DDoS detection
Distributed Denial of Service (DDoS) attacks continue to grow in scale and sophistication, making timely and reliable detection increasingly challenging. Machine learning (ML) models have demonstrated promise in identifying malicious traffic patterns. However, their vulnerability to adversarial mani...
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| Главные авторы: | , , , |
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| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
Elsevier
2026-03-01
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| Серии: | Array |
| Предметы: | |
| Online-ссылка: | http://www.sciencedirect.com/science/article/pii/S2590005625002917 |
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