dataset_minimal.zip is a sample dataset for intrusion detection systems (IDS), published on the Papers with Code platform. The dataset was contributed by author Muhammad Fahad Umer and is listed under an Open Access (green) license. Specific details on size, rows, columns, and last update date are not provided in the available metadata.
Use Cases
- Benchmarking anomaly detection algorithms on network traffic data (inferred from domain, verify after download)
- Training binary classifiers to distinguish normal from malicious network activity (inferred from domain, verify after download)
- Developing feature engineering techniques for security-related tabular data (inferred from domain, verify after download)
Strengths
- Published on the Papers with Code platform, which aggregates machine learning resources.
- Released under an Open Access (green) license, facilitating reuse.
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 size, and last update date are unknown, which may limit suitability assessment.
Provenance
- Source
- Muhammad Fahad Umer