LogRAIL: A Retrieval-Augmented LLM Reverification Layer for Log Anomaly Detection
Android logs vary across devices, build versions, and deployment cycles and may contain missing or out-of-order entries, making reliable anomaly detection difficult. To address this problem, we propose LogRAIL, a two-stage framework in which the first stage selects candidate anomaly windows and the...
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| Autors principals: | , , , , , , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
IEEE
2026-01-01
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| Col·lecció: | IEEE Access |
| Matèries: | |
| Accés en línia: | https://ieeexplore.ieee.org/document/11499390/ |
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