ITC-Net-Audio-5: Network Traffic from Five Audio Streaming Applications

500 PCAP files of network traffic captured during audio streaming on Google Meet, Skype, Telegram, WhatsApp, and SoundCloud. The dataset was created by Mohammad Nikbakht and includes a PDF with methodology and tool specifications. For details, refer to the associated BMC journal paper.

Use Cases

• Train application identification models based on network traffic patterns from five specific apps.
• Benchmark traffic classification algorithms based on PCAP data from voice calls and music playback.
• Analyze network behavior differences between communication and music streaming applications.

Strengths

• Contains 500 PCAP files, with 100 files dedicated to each of the five applications.
• Includes a PDF document describing dataset specifications, methodology, and tool versions.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count and file size are unknown, which may limit suitability assessment.
• Last update date is unknown; freshness unverified.

Provenance

Source

Mohammad Nikbakht

Collection Method

Captured by Wireshark and PCAPdroid tools during voice calls and online music playback.