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Predicting Video QoE from Encrypted Traffic: Leveraging Video Fingerprinting and Providing System-Level Insights
Linköping University, Department of Computer and Information Science, Cybersecurity. Linköping University, Faculty of Science & Engineering.ORCID iD: 0009-0009-6297-2108
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Cybersecurity.ORCID iD: 0009-0006-8038-5693
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Cybersecurity. Sectra Communications, Sweden.ORCID iD: 0000-0002-7631-0625
Linköping University, Faculty of Science & Engineering. Linköping University, Department of Computer and Information Science, Cybersecurity.ORCID iD: 0000-0003-1916-3398
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2025 (English)Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2025.
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:liu:diva-223773ISBN: 9783903176720 (print)OAI: oai:DiVA.org:liu-223773DiVA, id: diva2:2059173
Conference
IFIP Networking
Available from: 2026-05-11 Created: 2026-05-11 Last updated: 2026-05-21

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Kapoor, SomiyaWitwer, EthanHasselquist, DavidAsplund, MikaelCarlsson, Niklas

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Kapoor, SomiyaWitwer, EthanHasselquist, DavidAsplund, MikaelCarlsson, Niklas
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Total: 31 hits
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Citation style
  • apa
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  • de-DE
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Output format
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