UNID: Unified Network Intrusion Detection Dataset

Kaggle hosts the Unified Network Intrusion Detection Dataset (UNID). The dataset likely contains features for classifying network traffic as benign or malicious. Its specific size, origin, and update history are not detailed in the provided metadata.

Use Cases

• Train a classifier to detect malicious network traffic (inferred from domain, verify after download)
• Benchmark intrusion detection system (IDS) algorithms (inferred from domain, verify after download)
• Analyze patterns in network attack features (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning tools.

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

Collection Method

Unknown

Time Range

Unknown

Freshness

Last updated date is unknown; freshness unverified.

Geography

Unknown