"An OMNeT++-Based Approach to Narrowband-IoT Traffic Generation for Machine ..."

Paul L. Darius et al. (2023)

> Home

Details and statistics

DOI: 10.1109/IOTAIS60147.2023.10346041

access: closed

type: Conference or Workshop Paper

metadata version: 2024-02-09

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - conf/iotais/DariusRLT23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/conf/iotais/DariusRLT23
Paul L. Darius, Denis Rangelov, Philipp Lämmel, Nikolay Tcholtchev:
An OMNeT++-Based Approach to Narrowband-IoT Traffic Generation for Machine Learning-Based Anomaly Detection. IoTaIS 2023: 286-292

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.