CIC IoT-DIAD 2024: Device Identification & Anomaly Detection
Abstract
"105 IoT devices with 33 attack types (DDoS, DoS, Recon, Brute Force, Spoofing, Mirai) from Canadian Institute for Cybersecurity."
Description
Dataset Purpose
Dual-purpose: 1) Device fingerprinting, 2) Anomaly detection. Published December 2024. CSV format available.
Data Preview
| Flow_ID | Src_Port | Dst_Port | Protocol | Flow_Duration | Label |
|---|---|---|---|---|---|
| F001 | 52341 | 1883 | TCP | 2350 | IoT_Device_Benign |
Showing first few rows for preview
Cite This Dataset
University (2026). CIC IoT-DIAD 2024: Device Identification & Anomaly Detection. [Dataset]. University. https://www.unb.ca/cic/datasets/iot-diad-2024.html
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Original source: University (2026). Visit official page for more details.
Indexed by IoTDataset.com on Jan 12, 2026
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