Radio Access Network Anomalous and Baseline State Measurements

Working Data includes raw measurements from a Radio Access Network using commercial hardware, collected at multiple layers of the LTE protocol stack. Derived Data provides statistical analyses of the raw measurements, processed via Python 3 scripts. The dataset is divided into three distinct tranches corresponding to the project's experimental design.

Use Cases

• Analyze raw LTE protocol stack measurements to detect anomalous states where encryption is disabled.
• Compare statistical distributions in Derived Data between baseline and anomalous network conditions.
• Utilize measurement notes and definitions from included spreadsheets to interpret Working Data features.

Strengths

• Data includes measurements from multiple layers of the LTE protocol stack.
• Contains both baseline (encrypted) and anomalous (encryption disabled) network states.
• Derived Data provides pre-processed statistical analyses of the raw measurements.

Limitations

• The total number of rows, columns, and overall data size are unknown.
• Data is divided into three tranches, which may complicate unified analysis without understanding the experimental design.
• Raw description indicates a proof-of-concept scope, potentially limiting the scale and generalizability of findings.

Provenance

Source

National Institute of Standards and Technology.

Collection Method

Measurements collected from a Radio Access Network utilizing commercial-off-the-shelf hardware.

Freshness

Last updated March 14, 2025.