Explainable and Uncertainty Aware AI-Based Ransomware Detection
Ransomware poses a serious and evolving threat, demanding detection methods that can adapt to new attack vectors while maintaining transparency and reliability. This study proposes a comprehensive framework that integrates data augmentation, explainable artificial intelligence, and uncertainty quant...
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| Principais autores: | , , , |
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| פורמט: | Artigo |
| שפה: | Inglês |
| יצא לאור: |
IEEE
2025-01-01
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| סדרה: | IEEE Access |
| נושאים: | |
| גישה מקוונת: | https://ieeexplore.ieee.org/document/11043155/ |
| תגים: |
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