5GAD-2022: 5G Network Traffic Dataset for Machine Learning

A dataset containing simulated normal and attack 5G network traffic, designed for benchmarking machine learning tools in attack detection.
Technology No. CW-22-31
This is a dataset of 5G network traffic for use with machine learning tools to benchmark attack detection capabilities for multiple different models. The dataset contains simulated normal and attack 5G network traffic.

GitHub repository: https://github.com/IdahoLabResearch/5GAD
  • swap_vertical_circlemode_editAuthors (8)
    Matthew Anderson
    Denver Conger
    Brendan Jacobson
    Damon Spencer
    Edward Goodell
    Bryton Petersen
    Cooper Coldwell
    Matthew Sgambati
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