MLOps NIDS Dataset: Network Intrusion Detection Data

A dataset for MLOps in network security, sourced from Kaggle. The dataset likely contains features for network intrusion detection system (NIDS) modeling. Specific details on volume, origin, and update history are not provided in the available metadata.

Use Cases

• Training a classifier to detect malicious network traffic (inferred from domain, verify after download)
• Benchmarking AutoML tools on categorical cyber security data (inferred from domain, verify after download)
• Developing data cleaning pipelines for network log features (inferred from domain, verify after download)

Strengths

• Published on Kaggle, a platform with established data sharing and versioning.
• Platform tags indicate relevance to cyber security, AutoML, and data cleaning workflows.

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

How gathered, or null.

Time Range

Temporal coverage, or null.

Freshness

Last update date is unknown; freshness unverified.

Geography

Spatial coverage, or null.