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
GitHub repository: https://github.com/IdahoLabResearch/5GAD
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swap_vertical_circlemode_editAuthors (8)Matthew AndersonDenver CongerBrendan JacobsonDamon SpencerEdward GoodellBryton PetersenCooper ColdwellMatthew Sgambati
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swap_vertical_circlecloud_downloadSupporting documents (1)Product brochure5GAD-2022: 5G Network Traffic Dataset for Machine Learning.pdf