Suricata Flow Analytics

Traffic flow

Suricata Flow Analytics — Deep Analysis of Network Flow Events

Suri Oculus provides advanced Suricata Flow Analytics that help security engineers understand network behavior, detect anomalies, analyze communication patterns, and identify suspicious hosts. The module processes flow events in real time and is optimized for both high-performance servers and low-power devices.

Real-Time Flow Event Processing

Flow events are delivered through Redis directly from Suricata, ensuring:

  • minimal latency

  • high throughput

  • low CPU overhead

  • consistent real-time performance

Suri Oculus visualizes all flow activity instantly, with filtering and navigation across hundreds of thousands of events.

Behavioral Metrics and Flow Profiles

Each flow event contains valuable behavioral metadata.
Suri Oculus extracts and processes:

  • packet/byte counters

  • timing intervals

  • protocol distribution

  • directionality (src→dst)

  • session duration

  • TCP flags

  • state transitions

  • unusual patterns or deviations

These metrics allow engineers to identify abnormal behavior quickly.

AI-Powered Flow Anomaly Detection

Integrated with the AI module, Flow Analytics supports:

  • flow-level anomaly scoring

  • behavioral clustering

  • identification of outlier sessions

  • deviations from baseline profiles

  • rapid detection of suspicious communication

The Isolation Forest model is trained on real flow datasets and fine-tuned for Suricata.

 

Designed for Low-Power Hardware

Flow Analytics is optimized for systems with limited resources:

  • small office routers

  • home network appliances

  • ARM-based boards

  • cloud micro-instances

The UI uses pure JavaScript, ensuring fast rendering without heavy frameworks.

 

Related Modules

Explore other modules:

External Resources

Learn more about Suricata Flow events:
– https://suricata.io/documentation/