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bencorn
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CICIDS2017

Tasks:
Other
Languages:
English
Size:
10B<n<100B
Tags:
cybersecurity
intrusion-detection
network-traffic
pcap
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metadata 
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 

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)