Intrusion Detection System Datasets from Kaggle

Intrusion Detection System Datasets is a collection of data for cybersecurity analysis, published on the Kaggle platform. The specific content, size, and features are not detailed in the available metadata. Further verification of the data's structure and purpose is required after download.

Use Cases

• Training a classifier to distinguish normal from malicious network traffic (inferred from domain, verify after download)
• Benchmarking anomaly detection algorithms on network packet features (inferred from domain, verify after download)
• Developing features for real-time threat identification systems (inferred from domain, verify after download)

Strengths

• Published on the Kaggle platform, which provides a community and versioning system.

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

Kaggle