5G Mobile App Traffic Traces (Chalmers 2023)
收藏IEEE2026-04-17 收录
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https://ieee-dataport.org/documents/5g-mobile-app-traffic-traces-chalmers-2023
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资源简介:
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.
提供机构:
Tesén Marañón, José Armando; Duvignau, Romaric



