A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory

A Fine-Tuned BERT-Based Model for Individual Log Anomaly Detection in Operational Monitoring at Paranal Observatory

In operational environments such as astronomical observatories, continuous monitoring of system logs is critical yet challenging due to the vast volume of data generated. Manual inspection of these logs is impractical, needing automated methods capable of accurate and scalable anomaly detection. Thi...

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Bibliographic Details
Main Authors: Andres H. Catalan, Rodrigo A. Carrasco, Gonzalo A. Ruz, Juan P. Gil
Format: Article
Language:English
Published: IEEE 2025-01-01
Series:IEEE Access
Subjects:
Bidirectional encoder representations from transformers
log anomaly detection
sentiment analysis
word embedding
Online Access:https://ieeexplore.ieee.org/document/11072412/
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https://ieeexplore.ieee.org/document/11072412/

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