ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic

Sarah Wassermann, Michael Seufert, Pedro Casas-Hernandez, Li Gang, Kuang Li

Research output: Contribution to journal › Article › peer-review

Original language	English
Pages (from-to)	2007-2023
Number of pages	17
Journal	IEEE Transactions on Network and Service Management
Volume	17
Issue number	4
Publication status	Published - 2020

Research Field

@article{085c9d6134b04ad9ba8f33912dc52a98,

title = "ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic",

author = "Sarah Wassermann and Michael Seufert and Pedro Casas-Hernandez and Li Gang and Kuang Li",

year = "2020",

language = "English",

volume = "17",

pages = "2007--2023",

journal = "IEEE Transactions on Network and Service Management",

issn = "1932-4537",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

number = "4",

}

TY - JOUR

T1 - ViCrypt to the Rescue: Real-time, Machine Learning-driven Video QoE Monitoring for Encrypted Streaming Traffic

AU - Wassermann, Sarah

AU - Seufert, Michael

AU - Casas-Hernandez, Pedro

AU - Gang, Li

AU - Li, Kuang

PY - 2020

Y1 - 2020

M3 - Article

SN - 1932-4537

VL - 17

SP - 2007

EP - 2023

JO - IEEE Transactions on Network and Service Management

JF - IEEE Transactions on Network and Service Management

IS - 4

ER -