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IoT Network Intrusion (CIC-IDS2017)

IoT Security & Intrusion Detection Cybersecurity
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Catalog Summary

"Realistic network traffic data containing benign activities and common IoT-targeted attacks like Brute Force, DoS, and Infiltration."

Catalog Notes

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_DurationTotal_Fwd_PktsTotal_Bwd_PktsLabel
1125620BENIGN
5001232015DDoS

Showing first few rows for preview

Provided Citation 

Sharafaldin, I., Lashkari, A. H., & Ghorbani, A. A. (2017). Toward a Reliable Dataset for Intelligent Intrusion Detection Systems.

This citation is displayed as supplied. Automatic style conversion is disabled because structured citation metadata is not recorded.

Source metadata: University (2026)

Indexed by IoTDataset.com on Jan 19, 2026

Review the Source Record

Confirm the licence, version, access conditions, file format, and provenance at the source before use.

Open Source Page

Related Topics & Keywords

#cybersecurity #ids #intrusion detection #network traffic #botnet #ddos
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