NasirzadehMoh/CoLog
A Unified Framework for Detecting Point and Collective Anomalies in Operating System Logs via Collaborative Transformers
Operating system logs contain vital information for system security, but traditional analysis methods often miss subtle anomalies. This tool helps IT operations, cybersecurity analysts, and system administrators detect both single-event ('point') and coordinated ('collective') anomalies by ingesting various types of log data and identifying unusual patterns. It provides clear alerts about potential security breaches or system malfunctions.
Use this if you need to automatically monitor operating system logs from diverse sources to proactively detect unusual activity that could indicate security threats or operational issues.
Not ideal if you are looking for a solution to analyze network traffic, application-specific logs, or other data sources outside of operating system logs.
Stars
22
Forks
1
Language
Python
License
MIT
Category
Last pushed
Jan 28, 2026
Commits (30d)
0
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