"Analysis of Anomaly Detection and Identification Methods in 5G Traffic."

Tamara Radivilova et al. (2021)

> Home

Details and statistics

DOI: 10.1109/IDAACS53288.2021.9660920

access: closed

type: Conference or Workshop Paper

metadata version: 2023-09-30

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/idaacs/RadivilovaKLAMI21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/idaacs/RadivilovaKLAMI21
Tamara Radivilova, Lyudmyla Kirichenko, Oleksandr Lemeshko, Dmytro Ageyev, Oksana Mulesa, Andrii Ilkov:
Analysis of Anomaly Detection and Identification Methods in 5G Traffic. IDAACS 2021: 1108-1113

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.