FusionLog: Cross-System Log-based Anomaly Detection via Fusion of General and Proprietary Knowledge

ArXi:2511.05878v3 Announce Type: replace Log-based anomaly detection is critical for ensuring the stability and reliability of web systems. One of the key problems in this task is the lack of sufficient labeled logs, which limits the rapid deployment in new systems. Existing works usually leverage large-scale labeled logs from a mature web system and a small amount of labeled logs from a new system, using transfer learning to extract and generalize general knowledge across both domains.