Semi-supervised Power Microservices Log Anomaly Detection Based on BiLSTM and BERT with Attention
Author:
Affiliation:
1. State Grid Laboratory of Power cyber-Security Protection and Monitoring Technology,State Grid Smart Grid Research Institute Co.,Ltd.,Nanjing,China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10308870/10308871/10308884.pdf?arnumber=10308884
Reference14 articles.
1. Spell: Streaming Parsing of System Event Logs
2. LogAnomaly: Unsupervised Detection of Sequential and Quantitative Anomalies in Unstructured Logs
3. The Performance of LSTM and BiLSTM in Forecasting Time Series
4. LogCluster - A data clustering and pattern mining algorithm for event logs
5. Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm;goldstein;KI-2012 Poster and Demo Track,2012
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