%0 Thesis %1 info3-master-2023-6 %A Supervisor: Wehner, Nikolas %D 2023 %K i3thesis %T QoE Estimation of Short Video Services from Encrypted Network Traffic %X Short video services like TikTok, Instagram Reels, and YouTube Shorts have risen as important Internet applications in recent years. Goal of this work is therefore the adaptation of two well-known long-form video monitoring solutions ViCrypt 1, an ML-based approach, and eMIMIC 2, a session reconstruction approach, to the short video services domain. Primary focus of this work is YouTube Shorts. Other apps like TikTok may be analysed in a latter stage. Data is provided by a testbed deployed at the chair. Also as Praktikum possible. Contact: nikolas.wehner@uni-wuerzburg.de 1 https://ieeexplore.ieee.org/document/9250645 2 https://ieeexplore.ieee.org/document/8506519

@mastersthesis{info3-master-2023-6, abstract = {Short video services like TikTok, Instagram Reels, and YouTube Shorts have risen as important Internet applications in recent years. Goal of this work is therefore the adaptation of two well-known long-form video monitoring solutions ViCrypt [1], an ML-based approach, and eMIMIC [2], a session reconstruction approach, to the short video services domain. Primary focus of this work is YouTube Shorts. Other apps like TikTok may be analysed in a latter stage. Data is provided by a testbed deployed at the chair. Also as Praktikum possible. Contact: nikolas.wehner@uni-wuerzburg.de [1] https://ieeexplore.ieee.org/document/9250645 [2] https://ieeexplore.ieee.org/document/8506519}, added-at = {2023-12-16T17:48:05.000+0100}, author = {Supervisor: Wehner, Nikolas}, biburl = {https://www.bibsonomy.org/bibtex/24ff75382bc6177c9235637c97924f95a/uniwue_info3}, interhash = {eb23fd239757b1ecdc4a6f493b9807f7}, intrahash = {4ff75382bc6177c9235637c97924f95a}, keywords = {i3thesis}, school = {University of Würzburg}, timestamp = {2024-01-17T15:55:53.000+0100}, title = {QoE Estimation of Short Video Services from Encrypted Network Traffic}, year = 2023 }