CAM-LDS: Cyber Attack Manifestations for Automatic Interpretation of System Logs and Security Alerts
Log data are essential for intrusion detection and forensic investigations. However, manual log analysis is tedious due to high data volumes, heterogeneous event formats, and unstructured messages. Even though many automated methods for log analysis exist, they usually still rely on domain-specific configurations such as expert-defined detection rules, handcrafted log parsers, or manual feature-engineering. Crucially, the level of automation of conventional methods is limited due to their inability to semantically understand logs and explain their underlying causes. In contrast, Large Language Models enable domain- and format-agnostic interpretation of system logs and security alerts. Unf...
| Authors | Max Landauer, Wolfgang Hotwagner, Thorina Boenke et al. |
|---|---|
| Primary category | cs.CR |
| Published | 4 March 2026 |
| Last updated at source | 4 March 2026 |
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