IoT Device Behavior Profiling from Network Traffic, 6 GB PCAP

Network traffic PCAP files totaling 6.0 GB, created by Nasim Ferdosian and last updated in April 2026. The data supports research on identifying IoT device types and behaviors through external network traffic analysis without privileged access. The work demonstrates a framework combining machine learning with intrusion detection signature analysis.

Use Cases

• Training ML models for IoT device type identification based on network traffic patterns.
• Developing intrusion detection signatures based on observed device behavior.
• Benchmarking external monitoring techniques for IoT security.
• Analyzing network traffic patterns for device action recognition.

Strengths

• Dataset size is 6.0 GB, indicating substantial network traffic data.
• License is CC-BY-4.0, allowing for flexible reuse.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Data may reflect temporal or source bias inherent to figshare.

Provenance

Source

Nasim Ferdosian

Collection Method

Likely gathered through network traffic capture (PCAP).

Freshness

Last updated 2026-04-15 05:46:56; freshness should be verified.