Self-Supervised Log Anomaly Detection with LogBERT-Style Transformers: Full Empirical Evaluation on a Reproducible SynHDFS Benchmark
Log-based anomaly detection is a core problem in AIOps because system logs provide fine-grained evidence of failures, performance regressions, and security incidents. Recent work has shown that self-supervised sequence modeling substantially improves generalization compared with purely frequency-bas...
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| Autor principal: | |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Universitas Bhayangkara Surabaya
2026-05-01
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| coleção: | Journal of Electrical Engineering and Computer Sciences |
| Assuntos: | |
| Acesso em linha: | https://ejournal.ubhara.ac.id/index.php/jeecs/article/view/1696 |
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