---
license: other
task_categories:
  - tabular-classification
tags:
  - intrusion-detection
  - network-security
  - cybersecurity
  - IDS
  - CSE-CIC-IDS-2018
  - anomaly-detection
  - CICFlowMeter
pretty_name: CSE-CIC-IDS 2018 Network Intrusion Detection Dataset
size_categories:
  - 10M<n<100M
---

# CSE-CIC-IDS 2018 Network Intrusion Detection Dataset

## Description

The CSE-CIC-IDS2018 dataset was developed by the Communications Security
Establishment (CSE) and the Canadian Institute for Cybersecurity (CIC).
It includes seven different attack scenarios: Brute-force, Heartbleed,
Botnet, DoS, DDoS, Web attacks, and infiltration of the network from inside.

Network traffic was captured using CICFlowMeter and processed into
bidirectional flow features.

## Dataset Details

- **Source**: CSE & Canadian Institute for Cybersecurity (CIC), University of New Brunswick
- **Year**: 2018
- **Features**: 80+ CICFlowMeter features
- **Attack Types**: 7 categories (Brute-force, Heartbleed, Botnet, DoS, DDoS, Web attacks, Infiltration)
- **Duration**: 10 days of network traffic capture (Feb 14 - Mar 2, 2018)
- **Infrastructure**: 50 machines for attack, 420 machines + 30 servers for victim network

## Files

Processed CSV files from CICFlowMeter for each capture day:
- Wednesday-14-02-2018_TrafficForML_CICFlowMeter.csv
- Thursday-15-02-2018_TrafficForML_CICFlowMeter.csv
- Friday-16-02-2018_TrafficForML_CICFlowMeter.csv
- Tuesday-20-02-2018_TrafficForML_CICFlowMeter.csv (largest file)
- Wednesday-21-02-2018_TrafficForML_CICFlowMeter.csv
- Thursday-22-02-2018_TrafficForML_CICFlowMeter.csv
- Friday-23-02-2018_TrafficForML_CICFlowMeter.csv
- Wednesday-28-02-2018_TrafficForML_CICFlowMeter.csv
- Thursday-01-03-2018_TrafficForML_CICFlowMeter.csv
- Friday-02-03-2018_TrafficForML_CICFlowMeter.csv

## Citation

```bibtex
@misc{cse-cic-ids2018,
  title={A Realistic Cyber Defense Dataset (CSE-CIC-IDS2018)},
  author={Iman Sharafaldin and Arash Habibi Lashkari and Ali A. Ghorbani},
  year={2018},
  publisher={Canadian Institute for Cybersecurity},
  url={https://registry.opendata.aws/cse-cic-ids2018/}
}
```

## License

This dataset is provided for research and educational purposes.
Please cite the original authors when using this dataset.

## Original Source

- https://www.unb.ca/cic/datasets/ids-2018.html
- AWS S3: s3://cse-cic-ids2018/