NADW Network Attacks Dataset: Network Traffic for Anomaly Detection

A network traffic dataset collected using Wireshark for training AI models in cybersecurity. It includes both normal traffic and various types of simulated network attacks covering a range of common cybersecurity threats. The dataset was created by onurkya7 and last updated on 2025-01-21.

Use Cases

• Training anomaly detection models based on labeled network traffic.
• Benchmarking cybersecurity AI systems against simulated attacks.
• Studying patterns of common network threats mentioned in the description.

Strengths

• Includes both normal and attack traffic, enabling supervised learning.
• Covers a wide range of common cybersecurity threats as stated in the description.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

huggingface

Collection Method

Collected using Wireshark.

Freshness

Last updated 2025-01-21 18:23:30; freshness should be verified.