NF-BoT-IoT: Performance Metrics for a DRL-Based Network Intrusion Detector

Performance metrics for a Deep Reinforcement Learning (DRL)-based network intrusion detector evaluated on the NF-BoT-IoT dataset. The dataset is a 5.5 KB Excel file authored by Khorshed Alam and last updated in April 2026. It is licensed under CC-BY-4.0.

Use Cases

• Benchmarking intrusion detection models based on reported performance metrics
• Comparing DRL algorithm efficacy against other methods based on evaluation results
• Analyzing detector performance on IoT network traffic data

Strengths

• File size is precisely 5.5 KB, indicating a compact and focused dataset
• License is explicitly stated as CC-BY-4.0, facilitating open reuse

Limitations

• Row count is unknown, which may limit suitability assessment
• Column-level documentation is absent; field semantics must be inferred after download

Provenance

Source

Khorshed Alam

Freshness

Last updated 2026-04-16 17:40:26