DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network

DDoS classification of network traffic in software defined networking SDN using a hybrid convolutional and gated recurrent neural network

Abstract Deep learning (DL) has emerged as a powerful tool for intelligent cyberattack detection, especially Distributed Denial-of-Service (DDoS) in Software-Defined Networking (SDN), where rapid and accurate traffic classification is essential for ensuring security. This paper presents a comprehens...

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Bibliographic Details
Main Authors: Ahmed M. Elshewey, Safia Abbas, Ahmed M. Osman, Eman Abdullah Aldakheel, Yasser Fouad
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
DDoS detection
CNN
GRU
Network traffic classification
Deep neural networks
Software-Defined networking
Online Access:https://doi.org/10.1038/s41598-025-13754-1
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https://doi.org/10.1038/s41598-025-13754-1

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