Radio Access Network Anomalous State Detection Dataset by US Government | Media and Entertainment

About this Dataset

Radio Access Network Anomalous State Detection Dataset

This project [1] produced two types of data: Working Data and Derived Data. The Working Data includes raw measurements collected from a Radio Access Network (RAN) utilizing commercial-off-the-shelf (COTS) hardware. These measurements were gathered at multiple layers of the Long-Term Evolution (LTE) protocol stack within the RAN, in both a baseline state with encrypted data and an anomalous state with encryption disabled. The data is provided in comma-separated value (.csv) format.The Working Data was then processed into Derived Data using Python 3 scripts that performed statistical analyses to explore data distributions. The Derived Data is also available in .csv files. Additionally, human-readable spreadsheets are included, offering measurement notes and definitions related to the Working Data. Please note that the data set is divided into three distinct tranches, or sections, in alignment with the project's design of experiment.[1] M. Frey, T. Evans, A. Folz, M. Gregg, J. Quimby, J. Rezac. ?Anomalous state detection in radio access networks: A proof-of-concept.? Journal of Network and Computer Applications. Volume 231, 2024, https://doi.org/10.1016/j.jnca.2024.103979.
Organization: National Institute of Standards and Technology
Last updated: 2025-03-14T15:19:48.829539
Tags: anomalous-state-detection, cellular-communication-security, measurement-stability, metrology, multi-feature-detection, multi-layer-architecture, radio-access-network

Tables

DARE Data Public/Full Dataset/variable Name Key

@usgov.national_institute_of_standard_radio_access_network_an_985bedb7.dare_data_public_full_dataset_variable_name_key

8.31 KB
424 rows
2 columns


CREATE TABLE dare_data_public_full_dataset_variable_name_key (
  "orig_var_name" VARCHAR,
  "new_var_num" VARCHAR
);