CIC-IIoT-2025: Industrial IoT Network Traffic for Cybersecurity
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Description
A 2025 dataset from the Canadian Institute for Cybersecurity (CIC) focused on Industrial Internet of Things (IIoT) environments. It likely contains network traffic data for analyzing security threats in industrial control systems. The dataset is hosted on Kaggle, but specific details on size, features, and collection methodology are not provided in the metadata.
Use Cases
Train a classifier to identify malicious network flows in industrial environments (inferred from domain, verify after download)
Benchmark anomaly detection algorithms on IIoT-specific traffic patterns (inferred from domain, verify after download)
Analyze feature importance for cybersecurity in operational technology networks (inferred from domain, verify after download)
Strengths
Published on Kaggle, a major platform for data science.
Associated with the Canadian Institute for Cybersecurity (CIC), a known research entity.
Limitations
Metadata is minimal; actual content requires verification after download.
Column-level documentation is absent; field semantics must be inferred after download.
Row count, file formats, and license are unknown, which may limit suitability assessment.
Provenance
Source
Canadian Institute for Cybersecurity (CIC)
Collection Method
Likely involves capturing network traffic from simulated or real IIoT testbeds.
Time Range
2025
Freshness
Last update date is unknown; freshness unverified.