ViCrypt to the rescue: real-time, machine-learning-driven video-QoE monitoring for encrypted streaming traffic

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Metadaten
Author:Sarah Wassermann, Michael SeufertORCiDGND, Pedro Casas, Li Gang, Kuang Li
URN:urn:nbn:de:bvb:384-opus4-1070044
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/107004
ISSN:1932-4537OPAC
ISSN:2373-7379OPAC
Parent Title (English):IEEE Transactions on Network and Service Management
Publisher:Institute of Electrical and Electronics Engineers (IEEE)
Place of publication:New York, NY
Type:Article
Language:English
Year of first Publication:2020
Publishing Institution:Universität Augsburg
Release Date:2023/09/13
Tag:Electrical and Electronic Engineering; Computer Networks and Communications
Volume:17
Issue:4
First Page:2007
Last Page:2023
DOI:https://doi.org/10.1109/tnsm.2020.3036497
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für vernetzte eingebettete Systeme und Kommunikationssysteme
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

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