Leveraging Large Language Models and BERT for Log Parsing and Anomaly Detection

Computer systems and applications generate large amounts of logs to measure and record information, which is vital to protect the systems from malicious attacks and useful for repairing faults, especially with the rapid development of distributed computing. Among various logs, the anomaly log is ben...

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Bibliografiset tiedot
Päätekijät:	Yihan Zhou, Yan Chen, Xuanming Rao, Yukang Zhou, Yuxin Li, Chao Hu
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-09-01
Sarja:	Mathematics
Aiheet:	BERT anomaly log detection transformer self-attention large language models
Linkit:	https://www.mdpi.com/2227-7390/12/17/2758
Tagit:	Lisää tagi Ei tageja, Lisää ensimmäinen tagi!

Leveraging Large Language Models and BERT for Log Parsing and Anomaly Detection

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