"A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate ..."

Daniel M. Brandão Lent et al. (2022)

> Home

Details and statistics

DOI: 10.1109/ACCESS.2022.3190008

access: open

type: Journal Article

metadata version: 2024-10-06

- view
  - electronic edition via DOI (open access)
  authority control:
- export record
  dblp key:
  - journals/access/LentNCLRP22
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/access/LentNCLRP22
Daniel M. Brandão Lent, Matheus P. Novaes, Luiz Fernando Carvalho, Jaime Lloret, Joel J. P. C. Rodrigues, Mario Lemes Proença Jr.:
A Gated Recurrent Unit Deep Learning Model to Detect and Mitigate Distributed Denial of Service and Portscan Attacks. IEEE Access 10: 73229-73242 (2022)

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.