Let me decrypt your beauty: real-time prediction of video resolution and bitrate for encrypted video streaming

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Location: Deutsche Nationalbibliothek Frankfurt am Main

Extent: Online-Ressource

Language: Englisch

Notes: In: 2019 Network Traffic Measurement and Analysis Conference (TMA), 19-21 June 2019, Paris, France, S. 199-200

Classification: Informatik

Event: Veröffentlichung

(where): Augsburg

(who): Universität Augsburg

(when): 2019

Event: Veröffentlichung

(where): Piscataway, NJ

(who): IEEE

(when): 2019

Creator: Wassermann, Sarah
Seufert, Michael Thomas
Casas, Pedro
Gang, Li
Li, Kuang

Contributor: Secci, Stefano
Chrisment, Isabelle
Fiore, Marco

DOI: 10.23919/tma.2019.8784589

URN: urn:nbn:de:bvb:384-opus4-1085846

Rights: Der Zugriff auf das Objekt ist unbeschränkt möglich.

Last update: 15.08.2025, 7:35 AM CEST

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Associated

Wassermann, Sarah
Seufert, Michael Thomas
Casas, Pedro
Gang, Li
Li, Kuang
Secci, Stefano
Chrisment, Isabelle
Fiore, Marco
Universität Augsburg
IEEE

Time of origin

2019

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Let me decrypt your beauty: real-time prediction of video resolution and bitrate for encrypted video streaming

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