ITC-Net-Audio-5: An Audio Streaming Dataset for Application Identification in Network Traffic Classification

This dataset contains network traffic captured during audio streaming communications on five trending applications: Google Meet, Skype, Telegram, WhatsApp, and SoundCloud. It includes 500 PCAP files (i.e., 100 files per application) captured by Wireshark and PCAPdroid tools during voice calls and online music playback.Each application's data is stored in a dedicated ZIP file with the application's name, and they are named as [application name]_[file number].pcap. Alongside the dataset, there is a PDF document containing tables and figures that provide a brief description of the dataset specifications, a visual representation of the methodology, and versions of the tools used.For more details, please refer to our paper submitted to the BMC journal. link:本数据集收录了五类热门应用开展音频流通信时捕获的网络流量，涵盖Google Meet、Skype、Telegram、WhatsApp及SoundCloud。该数据集共包含500个PCAP（Packet Capture，数据包捕获）格式文件，每类应用对应100个文件，由Wireshark与PCAPdroid工具在语音通话及在线音乐播放场景中捕获。每类应用的数据均存储于以该应用名称命名的专属ZIP压缩包内，其中PCAP文件的命名格式为[应用名称]_[文件编号].pcap。本数据集附带一份PDF文档，其中包含多张表格与插图，用于简要说明数据集的规格参数、实验采集方法的可视化呈现，以及所用工具的版本信息。如需获取更多细节，请参阅我们提交至BMC期刊的学术论文，链接：