Define the scenario
Describe the roles, environment, and supported network behavior needed for the dataset.
How NetMetria works
NetMetria is a Linux-based cybersecurity network dataset generation platform. It produces scenario-driven PCAP traffic and machine-readable ground truth without requiring the full endpoint environment that would normally produce the traffic.
Workflow
NetMetria models the network interactions required by the scenario. It does not execute malware, compromise systems, or reproduce full endpoint state.
Describe the roles, environment, and supported network behavior needed for the dataset.
Generate protocol traffic representing the defined activity.
Inspect the PCAP and use the accompanying ground truth to identify the scenario activity represented by the traffic.
Ground truth
With an ordinary capture, analysts may have to reconstruct attribution afterward. NetMetria keeps the generated traffic linked to scenario actions, roles, behaviors, timing, and ATT&CK attribution.
What NetMetria is designed to test
NetMetria is designed for packet evidence, network relationships, sensor visibility, detections, and analytics. It is not an endpoint-emulation or exploit-execution system.
Generate traffic around the test question you actually have instead of adapting an unrelated capture.
Re-run defined scenario conditions when a rule, parser, analytic, or product changes and you need another dataset for comparison.
Keep packet evidence associated with the scenario activity it represents.
Represent the network roles required by the scenario without building a full physical or virtual environment for every case.
Product scope
NetMetria generates supported network traffic and associated ground truth for defined cybersecurity scenarios. Its scope is the packet-level evidence used for detection, analysis, testing, training, and research.
Current edition
Explorer is the current Linux command-line release focus. Its present scope includes 15 ATT&CK-aligned network behaviors and generation of PCAP datasets with associated ground truth. It is intended for hands-on generation and analysis work; Workbench and Enterprise remain future directions.