{"url":"/dataset/sidd-network","name":"SIDD-Image","full_name":"Segmented Intrusion Detection Dataset","description_markdown":"This is the first image-based network intrusion detection dataset. This large-scale dataset included network traffic protocol communication-based images from 15 different observation locations of different countries in Asia. This dataset is used to identify two different types of anomalies from benign network traffic. Each image with a size of 48 × 48 contains multi-protocol communications within 128 seconds. The SIDD dataset can be to applied to a broad range of tasks such as machine learning-based network intrusion detection, non-iid federated learning, and so forth.","description_withheld":null,"homepage":"https://www.kaggle.com/datasets/yuweisunut/sidd-segmented-intrusion-detection-dataset","introduced_date":"2020-12-16","introduced_date_note":null,"introduced_by":{"paper":"/paper/adaptive-intrusion-detection-in-the","title":"Adaptive Intrusion Detection in the Networking of Large-Scale LANs with Segmented Federated Learning","first_author":"Yuwei Sun","url":null},"license":{"name":"CC-BY","url":null},"modalities":[{"name":"Images","url":"/datasets/modality/images"}],"tasks":[{"name":"Image Classification","url":"/task/image-classification","datasets_with_task":"/datasets/task/image-classification"},{"name":"Network Intrusion Detection","url":"/task/network-intrusion-detection","datasets_with_task":"/datasets/task/network-intrusion-detection"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["SIDD-Image"],"data_loaders":[],"num_papers_in_archive":3,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/network-intrusion-detection-on-sidd-a-large","task":"Network Intrusion Detection","dataset_variant":"SIDD-Image","rows":1,"metrics":["F1 Score"],"first_row_in_archive_order":{"model":"Segmented-FL","paper":"/paper/intrusion-detection-with-segmented-federated","metrics":{"F1 Score":"0.893"},"code_links":[{"title":"yuweisunn/segmented-FL","url":"https://github.com/yuweisunn/segmented-FL"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/intrusion-detection-with-segmented-federated","title":"Intrusion Detection with Segmented Federated Learning for Large-Scale Multiple LANs","date":"2020-09-28","rows_on_this_dataset":1,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-25T09:33:49+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."}