Datasets:

bvsam
/

cic-ids-2017

pretty_name: CIC-IDS-2017
language:
  - en
tags:
  - cybersecurity
  - network
  - pcap
  - flow
task_categories:
  - tabular-classification
configs:
  - config_name: machine_learning
    data_files: machine_learning/*.parquet
  - config_name: traffic_labels
    data_files: traffic_labels/*.parquet

CIC-IDS-2017 Dataset

This repository contains the CIC-IDS-2017 dataset with the original PCAPs and the CSVs converted to Parquet format for easier use.

Dataset Structure

Configurations

machine_learning: Contains the flow-based features used for ML training (Converted from MachineLearningCVE CSVs).
traffic_labels: Contains the labelled flows (Converted from TrafficLabelling CSVs). Timestamps have been normalized to UTC.

Raw Data

The pcap/ folder contains the original PCAP files. These are not part of the Hugging Face Dataset Viewer but can be downloaded via Git LFS.

License

(Copied from original dataset License section)

The CICIDS2017 dataset consists of labeled network flows, including full packet payloads in pcap format, the corresponding profiles and the labeled flows (GeneratedLabelledFlows.zip) and CSV files for machine and deep learning purpose (MachineLearningCSV.zip) are publicly available for researchers. If you are using our dataset, you should cite our related paper which outlining the details of the dataset and its underlying principles:

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.