Log-Based Anomaly Detection

LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
Currently, large language models (LLMs) have achieved impressive performance in natural language processing tasks. However, LLMs still …
Xin Huang, Ting Zhang, Wen Zhao
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LogRules: Enhancing Log Analysis Capability of Large Language Models through Rules
LogContrast: A Weakly Supervised Anomaly Detection Method Leveraging Contrastive Learning
We propose a novel log-based anomaly detection method that leverages weakly supervised contrastive learning, named LogContrast. …
Ting Zhang, Xin Huang, Wen Zhao, Guozhao Mo, Shaohuang Bian
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LogContrast: A Weakly Supervised Anomaly Detection Method Leveraging Contrastive Learning
LogPrompt: A Log-based Anomaly Detection Framework Using Prompts
Log data are widely used in anomaly detection tasks of software system. At present, log anomaly detection methods based on deep …
Ting Zhang, Xin Huang, Wen Zhao, Shaohuang Bian, Peng Du
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LogPrompt: A Log-based Anomaly Detection Framework Using Prompts