A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking
- DOI
- 10.3390/s23094441
- Published
- 2023-05-01
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s23094441,
title = {A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking},
author = {Abdullah Ahmed Bahashwan and Mohammed Anbar and Selvakumar Manickam and Taief Alaa Al-Amiedy and Mohammad Adnan Aladaileh and Iznan H. Hasbullah},
year = {2023},
journal = {Sensors},
doi = {10.3390/s23094441},
url = {https://doi.org/10.3390/s23094441}
}RIS
TY - JOUR TI - A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking AU - Abdullah Ahmed Bahashwan AU - Mohammed Anbar AU - Selvakumar Manickam AU - Taief Alaa Al-Amiedy AU - Mohammad Adnan Aladaileh AU - Iznan H. Hasbullah PY - 2023 JO - Sensors DO - 10.3390/s23094441 UR - https://doi.org/10.3390/s23094441 ER -
APA
Bahashwan, A. A., Anbar, M., Manickam, S., Al-Amiedy, T. A., Aladaileh, M. A., & Hasbullah, I. H. (2023). A Systematic Literature Review on Machine Learning and Deep Learning Approaches for Detecting DDoS Attacks in Software-Defined Networking. Sensors. https://doi.org/10.3390/s23094441
Source records
- crossref · retrieved 2026-09-26T16:10:18.278Z