Analysis of Machine Learning Techniques to Secure 5G Networks

• Author(s) / Creator(s)

  • Lopez Giron, Ali Jose

• Since the beginnings of the mobile communications, service providers have been trying to improve the customer experience not only in terms of reliable communications but also on security. At the beginning the communications were easy to intercept due to the lack of encryption and advanced
  mechanism to protect the identity with the aggravation of the absence of a unified communication standard that centralized efforts in terms of research and development. Enabling the portable devices to perform complex activities that go beyond of a simple call, security concerns have risen until such point that it is value in USD 156 Billion. (As cited in abstract.)

• Date created

  2021-02-01

• Subjects / Keywords

  • 5G
  • Protocol stack
  • Virtualization
  • Latency
  • DoS
  • UDP
  • TCP
  • GTP
  • Authentication
  • Supervised learning

• Type of Item

  Report

• DOI

  https://doi.org/10.7939/r3-w445-x890

• License

  Attribution-NonCommercial 4.0 International