Intrusion detection systems for software-defined networks: a comprehensive study on machine learning-based techniques
Crossref DOI link: https://doi.org/10.1007/s10586-024-04430-6
Published Online: 2024-04-25
Published Print: 2024-10
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Mustafa, Zaid
Amin, Rashid
Aldabbas, Hamza
Ahmed, Naeem
Text and Data Mining valid from 2024-04-25
Version of Record valid from 2024-04-25
Article History
Received: 24 August 2023
Revised: 7 March 2024
Accepted: 10 March 2024
First Online: 25 April 2024
Declarations
:
: The authors have not disclosed any competing interests.