Machine Learning and Deep Learning Techniques for Distributed Denial of Service Anomaly Detection in Software Defined Networks—Current Research Solutions
- DOI
- 10.1109/access.2024.3360868
- Published
- 2024
- Container
- IEEE Access
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/access.2024.3360868,
title = {Machine Learning and Deep Learning Techniques for Distributed Denial of Service Anomaly Detection in Software Defined Networks\&\#x2014;Current Research Solutions},
author = {Nura Shifa Musa and Nada Masood Mirza and Saida Hafsa Rafique and Amira Mahamat Abdallah and Thangavel Murugan},
year = {2024},
journal = {IEEE Access},
doi = {10.1109/access.2024.3360868},
url = {https://doi.org/10.1109/access.2024.3360868}
}RIS
TY - JOUR TI - Machine Learning and Deep Learning Techniques for Distributed Denial of Service Anomaly Detection in Software Defined Networks—Current Research Solutions AU - Nura Shifa Musa AU - Nada Masood Mirza AU - Saida Hafsa Rafique AU - Amira Mahamat Abdallah AU - Thangavel Murugan PY - 2024 JO - IEEE Access DO - 10.1109/access.2024.3360868 UR - https://doi.org/10.1109/access.2024.3360868 ER -
APA
Musa, N. S., Mirza, N. M., Rafique, S. H., Abdallah, A. M., & Murugan, T. (2024). Machine Learning and Deep Learning Techniques for Distributed Denial of Service Anomaly Detection in Software Defined Networks—Current Research Solutions. IEEE Access. https://doi.org/10.1109/access.2024.3360868
Source records
- doaj · retrieved 2026-09-27T10:43:58.941Z