Transfer-Aware Evaluation Scenarios For Intrusion Detection

TAN-IDS supports transfer-aware evaluation scenarios for network intrusion detection. The dataset is a 5.5 KB Excel file created by Dung Ha Thanh and last updated in April 2026. It provides structured scenarios for evaluating transfer learning methods in cybersecurity.

Use Cases

• Benchmarking TAN-IDS model performance across different network attack scenarios using provided evaluation metrics.
• Analyzing the effectiveness of transfer learning for intrusion detection by comparing scenario-specific feature sets.
• Designing new evaluation protocols for network anomaly detection based on the structured scenario definitions.

Strengths

• Dataset is openly licensed under CC-BY-4.0 for clear reuse.
• File size of 5.5 KB indicates a focused, well-defined schema for evaluation scenarios.

Limitations

• The dataset is extremely small at 5.5 KB, limiting its scope to scenario definitions rather than raw network traffic.
• Specific column names, row counts, and data distributions are unknown from the metadata.

Provenance

Source

Dung Ha Thanh via figshare.

Collection Method

Created to support the TAN-IDS (Transfer-Aware Network Intrusion Detection System) methodology.

Freshness

Last updated in April 2026, indicating planned future relevance.