DDoS Attacks Detection and Mitigation in 5G and Beyond Networks: A Deep Learning-based Approach
- DOI
- 10.1109/globecom48099.2022.10001562
- Published
- 2022-12-04
- Container
- GLOBECOM 2022 - 2022 IEEE Global Communications Conference
- Publisher
- IEEE
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/globecom48099.2022.10001562,
title = {DDoS Attacks Detection and Mitigation in 5G and Beyond Networks: A Deep Learning-based Approach},
author = {Badre Bousalem and Vinicius F. Silva and Rami Langar and Sylvain Cherrier},
year = {2022},
journal = {GLOBECOM 2022 - 2022 IEEE Global Communications Conference},
doi = {10.1109/globecom48099.2022.10001562},
url = {https://doi.org/10.1109/globecom48099.2022.10001562}
}RIS
TY - JOUR TI - DDoS Attacks Detection and Mitigation in 5G and Beyond Networks: A Deep Learning-based Approach AU - Badre Bousalem AU - Vinicius F. Silva AU - Rami Langar AU - Sylvain Cherrier PY - 2022 JO - GLOBECOM 2022 - 2022 IEEE Global Communications Conference DO - 10.1109/globecom48099.2022.10001562 UR - https://doi.org/10.1109/globecom48099.2022.10001562 ER -
APA
Bousalem, B., Silva, V. F., Langar, R., & Cherrier, S. (2022). DDoS Attacks Detection and Mitigation in 5G and Beyond Networks: A Deep Learning-based Approach. GLOBECOM 2022 - 2022 IEEE Global Communications Conference. https://doi.org/10.1109/globecom48099.2022.10001562
Source records
- crossref · retrieved 2026-11-10T12:31:23.713Z