5G Mobile App Traffic Traces (Chalmers 2023)

This dataset consists of network packet traces collected in 2023 on the 5G infrastructure deployed at Chalmers University of Technology.The dataset includes 1,912 pcap files, distributed across 8 folders. Each pcap file captures 1 minute of encrypted network traffic generated by one of the following 8 popular mobile applications:FacebookInstagramLinkedInSpotifyTikTokTwitterWikipediaYouTubeThe traffic was captured using a 5G-connected mobile device, with the data routed through a VPN connection to ensure that only packet timing and size information is retained, masking all other identifying details.This dataset is valuable for studying application-specific traffic patterns on 5G networks, focusing on traffic encryption, packet timing, and size in the context of mobile applications. 

搜集汇总

背景与挑战

背景概述

该数据集包含2023年在查尔姆斯理工大学5G基础设施上收集的移动应用网络流量追踪数据，总计1,912个pcap文件，覆盖8个流行应用（如Facebook、Instagram等），每个文件记录1分钟的加密流量，并通过VPN连接确保隐私保护，仅保留数据包时间和大小信息。它适用于研究5G网络中的移动应用流量模式、加密特性和数据包行为。