Characterizing User Platforms for Video Streaming in Broadband Networks
August 30, 2024 Β· Declared Dead Β· π ACM/SIGCOMM Internet Measurement Conference
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Authors
Yifan Wang, Minzhao Lyu, Vijay Sivaraman
arXiv ID
2408.16995
Category
cs.NI: Networking & Internet
Citations
7
Venue
ACM/SIGCOMM Internet Measurement Conference
Last Checked
3 months ago
Abstract
Internet Service Providers (ISPs) bear the brunt of being the first port of call for poor video streaming experience. ISPs can benefit from knowing the user's device type (e.g., Android, iOS) and software agent (e.g., native app, Chrome) to troubleshoot platform-specific issues, plan capacity and create custom bundles. Unfortunately, encryption and NAT have limited ISPs' visibility into user platforms across video streaming providers. We develop a methodology to identify user platforms for video streams from four popular providers, namely YouTube, Netflix, Disney, and Amazon, by analyzing network traffic in real-time. First, we study the anatomy of the connection establishment process to show how TCP/QUIC and TLS handshakes vary across user platforms. We then develop a classification pipeline that uses 62 attributes extracted from the handshake messages to determine the user device and software agent of video flows with over 96% accuracy. Our method is evaluated and deployed in a large campus network (mimicking a residential broadband network) serving users including dormitory residents. Analysis of 100+ million video streams over a four-month period reveals insights into the mix of user platforms across the video providers, variations in bandwidth consumption across operating systems and browsers, and differences in peak hours of usage.
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