{"url":"/dataset/cicids2018","name":"CICIDS2018","full_name":"CSE-CIC-IDS2018 on AWS","description_markdown":"CICIDS2018 includes seven different attack scenarios: Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, and infiltration of the network from inside. The attacking infrastructure includes 50 machines and the victim organization has 5 departments and includes 420 machines and 30 servers. The dataset includes the captures network traffic and system logs of each machine, along with 80 features extracted from the captured traffic using CICFlowMeter-V3.\r\n\r\nSource: [https://www.unb.ca/cic/datasets/ids-2018.html](https://www.unb.ca/cic/datasets/ids-2018.html)","description_withheld":null,"homepage":"https://www.unb.ca/cic/datasets/ids-2018.html","introduced_date":"2022-06-19","introduced_date_note":null,"introduced_by":{"paper":"/paper/0-1-deep-neural-networks-via-block-coordinate","title":"0/1 Deep Neural Networks via Block Coordinate Descent","first_author":"HUI ZHANG","url":null},"license":{"name":"Custom","url":"https://www.unb.ca/cic/datasets/ids-2018.html"},"modalities":[],"tasks":[],"languages":[],"variants":["CICIDS2018"],"data_loaders":[],"num_papers_in_archive":5,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[],"papers_with_a_benchmark_row":[],"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."}