"Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey."

Sehar Zehra et al. (2023)

> Home

Details and statistics

DOI: 10.3390/S23115340

access: open

type: Journal Article

metadata version: 2024-02-05

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/sensors/ZehraFSSIAN23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/sensors/ZehraFSSIAN23
Sehar Zehra, Ummay Faseeha, Hassan Jamil Syed, Fahad Samad, Ashraf Osman Ibrahim, Anas Waleed Abulfaraj, Wamda Nagmeldin:
Machine Learning-Based Anomaly Detection in NFV: A Comprehensive Survey. Sensors 23(11): 5340 (2023)

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.