research-article

Identifying Video Resolution from Encrypted QUIC Streams in Segment-combined Transmission Scenarios

Authors:

Liujinhan Chen,

Xiaoyan HuAuthors Info & Claims

NOSSDAV '24: Proceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video

Pages 50 - 56

https://doi.org/10.1145/3651863.3651883

Published: 15 April 2024 Publication History

Abstract

With the rapid rise of video services, Internet Service Providers (ISPs) need to better monitor the Quality of Experience (QoE). Video resolution is a crucial factor affecting QoE. However, with the widespread use of QUIC based on UDP for video transmission, existing resolution identification methods based on the TCP header information cannot extract information from the UDP header. Moreover, in recent years, video platforms have begun to send video segments using random combinations to avoid side-channel attacks, leading to the failure of existing machine learning-based methods. To address this problem, we propose a method to identify the video resolution from QUIC traffic. The method takes the length of the video segment sequence as fingerprints, uses the features of QUIC to accurately extract and correct the length of the video segment sequence from the encrypted video stream, and then uses a combinatorial matching method to identify the corresponding video segment, thus accurately identifying the resolution of the video segment. Experimental results using YouTube videos show that the accuracy of this method for video resolution identification is more than 97%, and the average identification time is 0.13 seconds. Using this method, ISPs can accurately identify the resolution of videos transmitted via QUIC in real-time, which provides a basis for monitoring users' QoE.

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Cited By

Peroni LGorinsky STashtarian F(2024)In-Band Quality Notification from Users to ISPs2024 IEEE 13th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet62863.2024.10815908(1-7)Online publication date: 27-Nov-2024
https://doi.org/10.1109/CloudNet62863.2024.10815908
Wang SWu HCheng GHu XRen J(2024)SD-MDN-TM: A traceback and mitigation integrated mechanism against DDoS attacks with IP spoofingComputer Networks10.1016/j.comnet.2024.110793(110793)Online publication date: Sep-2024
https://doi.org/10.1016/j.comnet.2024.110793

Index Terms

Identifying Video Resolution from Encrypted QUIC Streams in Segment-combined Transmission Scenarios
1. Information systems
  1. Information systems applications
    1. Multimedia information systems
      1. Multimedia streaming
2. Networks
  1. Network protocols
    1. Transport protocols

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cover image ACM Conferences

NOSSDAV '24: Proceedings of the 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video

April 2024

77 pages

ISBN:9798400706134

DOI:10.1145/3651863

Program Chairs:
Amr Rizk
University of Duisburg-Essen, Germany
,
Maria Torres Vega
Katholieke Universiteit Leuven, Belgium

Copyright © 2024 ACM.

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Published: 15 April 2024

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NOSSDAV '24

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NOSSDAV '24: 34th edition of the Workshop on Network and Operating System Support for Digital Audio and Video

April 15 - 18, 2024

Bari, Italy

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Cited By

Peroni LGorinsky STashtarian F(2024)In-Band Quality Notification from Users to ISPs2024 IEEE 13th International Conference on Cloud Networking (CloudNet)10.1109/CloudNet62863.2024.10815908(1-7)Online publication date: 27-Nov-2024
https://doi.org/10.1109/CloudNet62863.2024.10815908
Wang SWu HCheng GHu XRen J(2024)SD-MDN-TM: A traceback and mitigation integrated mechanism against DDoS attacks with IP spoofingComputer Networks10.1016/j.comnet.2024.110793(110793)Online publication date: Sep-2024
https://doi.org/10.1016/j.comnet.2024.110793

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