yul091/GraphLogAD
Codebase for the ICKG 2023 paper: "GLAD: Content-aware Dynamic Graphs For Log Anomaly Detection".
This project helps site reliability engineers and system administrators automatically detect unusual behavior in system logs. It takes raw log messages as input and identifies specific log events or sequences that indicate a potential anomaly, helping to pinpoint issues that might otherwise go unnoticed. This is for professionals responsible for maintaining the health and stability of IT systems.
No commits in the last 6 months.
Use this if you need to automatically monitor large volumes of system logs for anomalies and receive alerts about potential system issues.
Not ideal if you are looking for a general-purpose log analysis tool that doesn't focus specifically on anomaly detection, or if you don't have existing log data.
Stars
24
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Language
Python
License
—
Category
Last pushed
Feb 16, 2024
Commits (30d)
0
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