Abstract
"Realistic network traffic data containing benign activities and common IoT-targeted attacks like Brute Force, DoS, and Infiltration."
Description
Security Analysis
Collected by the Canadian Institute for Cybersecurity, this dataset captures raw network packets and extracted features to help build robust IoT-specific Intrusion Detection Systems.
Attack Scenarios
- DoS/DDoS: High-volume traffic to crash IoT nodes.
- Web Attacks: SQL Injections and XSS.
- Port Scanning: Identifying vulnerable edge devices.
Data Preview
| Flow_Duration | Total_Fwd_Pkts | Total_Bwd_Pkts | Label |
|---|---|---|---|
| 11256 | 2 | 0 | BENIGN |
| 500123 | 20 | 15 | DDoS |
Showing first few rows for preview
Cite This Dataset
University (2026). IoT Network Intrusion (CIC-IDS2017). [Dataset]. University. https://www.unb.ca/cic/datasets/ids-2017.html
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Original source: University (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 19, 2026
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