A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning
- DOI
- 10.3390/platforms3020007
- Published
- 04
- Container
- Platforms
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/platforms3020007,
title = {A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning},
author = {Zineb Maasaoui and Mheni Merzouki and Abdella Battou and Ahmed Lbath},
year = {2025},
journal = {Platforms},
doi = {10.3390/platforms3020007},
url = {https://doi.org/10.3390/platforms3020007}
}RIS
TY - JOUR TI - A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning AU - Zineb Maasaoui AU - Mheni Merzouki AU - Abdella Battou AU - Ahmed Lbath PY - 2025 JO - Platforms DO - 10.3390/platforms3020007 UR - https://doi.org/10.3390/platforms3020007 ER -
APA
Maasaoui, Z., Merzouki, M., Battou, A., & Lbath, A. (2025). A Scalable Framework for Real-Time Network Security Traffic Analysis and Attack Detection Using Machine and Deep Learning. Platforms. https://doi.org/10.3390/platforms3020007