| --- |
| pretty_name: CICIDS2017 (mirror) |
| language: |
| - en |
| task_categories: |
| - other |
| tags: |
| - cybersecurity |
| - intrusion-detection |
| - network-traffic |
| - pcap |
| size_categories: |
| - 10B<n<100B |
| license: other |
| --- |
| |
| # CICIDS2017 (Unofficial mirror on Hugging Face) |
|
|
| ## Dataset Summary |
| This repository provides a mirrored copy of the **CICIDS2017** dataset files (PCAPs and accompanying archives) for easier access and reproducibility in ML/security research workflows. |
|
|
| **Important**: This is **not** the original distribution. Please refer to the official source for authoritative documentation, updates, and terms. |
|
|
| ## Source / Origin |
| - **Original dataset name**: CICIDS2017 |
| - **Original publisher**: Canadian Institute for Cybersecurity (CIC), University of New Brunswick (UNB) |
| - **Official page**: https://www.unb.ca//cic/datasets/ids-2017.html |
| - **Original paper / description**: Iman Sharafaldin, Arash Habibi Lashkari, and Ali A. Ghorbani, “Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization”, 4th International Conference on Information Systems Security and Privacy (ICISSP), Portugal, January 2018. |
|
|
| ### What is included here |
| Files mirrored from the original distribution (as provided by CIC), e.g.: |
| - `Monday-WorkingHours.pcap` |
| - `Tuesday-WorkingHours.pcap` |
| - `Wednesday-workingHours.pcap` |
| - `Thursday-WorkingHours.pcap` |
| - `Friday-WorkingHours.pcap` |
| - `MachineLearningCSV.zip` |
| - `GeneratedLabelledFlows.zip` |
|
|
| > Notes: |
| > - File list may differ depending on the version you mirrored. |
| > - If you require a specific release, pin to a commit hash in this repo. |
|
|
| ## Intended Use |
| Common use cases include (but are not limited to): |
| - Network intrusion detection research |
| - Traffic classification |
| - Feature extraction from PCAPs |
| - Benchmarking and reproduction of published results |
|
|
| ## Data Access / How to Use |
|
|
| ### Using `datasets` (metadata-only listing) |
| If you want to manage the dataset via the Hub, you can download the repository files directly. |
|
|
| ### Download with `huggingface_hub` |
| ```python |
| from huggingface_hub import hf_hub_download |
|
|
| repo_id = "bencorn/CICIDS2017" |
| filename = "Monday-WorkingHours.pcap" # example |
| |
| local_path = hf_hub_download( |
| repo_id=repo_id, |
| repo_type="dataset", |
| filename=filename, |
| ) |
| print(local_path) |
