"ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE ..."

Sarah Wassermann et al. (2020)

> Home

Details and statistics

DOI: 10.1109/TNSM.2020.3036497

access: closed

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tnsm/WassermannSCGL20
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tnsm/WassermannSCGL20
Sarah Wassermann, Michael Seufert, Pedro Casas, Li Gang, Kuang Li:
ViCrypt to the Rescue: Real-Time, Machine-Learning-Driven Video-QoE Monitoring for Encrypted Streaming Traffic. IEEE Trans. Netw. Serv. Manag. 17(4): 2007-2023 (2020)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.