IDS IoT DL Dataset: Cybersecurity Data for IoT and IIoT Applications

Kaggle hosts a dataset focused on cybersecurity for Internet of Things (IoT) and Industrial Internet of Things (IIoT) applications. The dataset is intended for classification tasks, including binary and multiclass classification. Author, organization, and specific data volume are not provided.

Use Cases

• Train a binary classifier to detect malicious versus benign IoT network traffic.
• Develop a multiclass classifier to identify specific types of cyberattacks on IIoT systems.
• Benchmark machine learning models for cybersecurity applications in connected device environments.

Strengths

• Dataset is explicitly designed for cybersecurity applications in IoT and IIoT domains.
• Platform tags indicate the data is structured for both binary and multiclass classification tasks.

Limitations

• Description metadata is limited; actual data quality requires manual inspection 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

Kaggle

Collection Method

How gathered, or null.

Time Range

Temporal coverage, or null.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage, or null.