enhancement Security Settings : Clustering Algorithm

[jaynomyaro]

Summary
Enhance the security settings module by integrating a clustering algorithm to improve anomaly detection and risk grouping.

Details

Implement clustering (e.g., K‑Means, DBSCAN) to group similar security events.

Automatically flag outliers as potential threats.

Provide configurable parameters for cluster size, sensitivity, and threshold levels.

Add visualization support for clustered security events in the dashboard.

Ensure scalability for large datasets with optimized performance.

Benefits

Improved detection of unusual patterns in user activity.

Reduced false positives by grouping related events.

More intuitive insights for administrators through cluster visualization.

Enhanced adaptability to evolving threat landscapes.

Next Steps

Unit and integration testing of clustering logic.

Documentation update for new configuration options.

Rollout in staged environments before production release.
Closed #394

[RUKAYAT-CODER]

Great job so far!
Kindly fix the workflow to pass