{"url":"/dataset/5gad-2022","name":"5GAD-2022","full_name":"5G attack detection dataset","description_markdown":"This dataset contains two types of intercepted network packets: \"normal\" network traffic packets (i.e. a variety of non-malicious traffic types) and \"attack\" packets from attacks against a 5G Core implemented with free5GC. The captures were collected using tshark or Wireshark on 4 different network interfaces within the 5G core. Those interfaces and where they sit within the system are outlined in the 5GNetworkDiagram figure. Files that start with \"allcap\" contain packets that were recorded on all four interfaces simultaneously; other *.pcapng files represent the same data that has been broken out into one of the four interfaces.","description_withheld":null,"homepage":"https://github.com/IdahoLabResearch/5GAD","introduced_date":"2022-12-04","introduced_date_note":null,"introduced_by":{"paper":"/paper/machine-learning-5g-attack-detection-in","title":"Machine Learning 5G Attack Detection in Programmable Logic","first_author":"Cooper Coldwell","url":null},"license":{"name":"MIT","url":"https://github.com/IdahoLabResearch/5GAD/blob/main/LICENSE"},"modalities":[],"tasks":[{"name":"Anomaly Detection","url":"/task/anomaly-detection","datasets_with_task":"/datasets/task/anomaly-detection"},{"name":"Low-latency processing","url":"/task/low-latency-processing","datasets_with_task":"/datasets/task/low-latency-processing"}],"languages":[],"variants":["5GAD-2022"],"data_loaders":[],"num_papers_in_archive":1,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/low-latency-processing-on-5gad-2022","task":"Low-latency processing","dataset_variant":"5GAD-2022","rows":2,"metrics":["Latency, ms"],"first_row_in_archive_order":{"model":"AE","paper":"/paper/machine-learning-5g-attack-detection-in","metrics":{"Latency, ms":"0.236"},"code_links":[{"title":"IdahoLabResearch/5GAD","url":"https://github.com/IdahoLabResearch/5GAD"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/machine-learning-5g-attack-detection-in","title":"Machine Learning 5G Attack Detection in Programmable Logic","date":"2022-12-04","rows_on_this_dataset":2,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}