ITC-net-audio-5: an audio streaming dataset for application identification in network traffic classification.

ABSTRACT:

Objectives

An essential aspect of network traffic classification is application identification. This involves capturing and analyzing the traffic patterns of applications. There are a few publicly available datasets that specifically capture streaming data from network-based applications. Therefore, our objective is to generate an up-to-date dataset with a focus on audio streaming data. This dataset can be a valuable resource for identifying audio streaming applications in the field of network traffic classification.

Data description

The dataset contains network traffic captured during audio streaming communications on five trending applications: Google Meet, Skype, Telegram, WhatsApp, and SoundCloud. It includes 500 files in PCAP format captured by Wireshark and PCAPdroid t

SUBMITTER: Nikbakht M 

PROVIDER: S-EPMC10900609 | biostudies-literature | 2024 Feb

REPOSITORIES: biostudies-literature