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Detecting DDoS Threats Using Supervised Machine Learning for Traffic Classification in Software Defined Networking

Software-Defined Networking (SDN) is a promising solution for large-scale network management that offers extensive opportunities for optimization. However, the centralized control inherent in SDN also exposes networks to security threats, notably Distributed Denial of Service (DDoS) attacks. To addr...

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Principais autores: Abdinasir Hirsi, Lukman Audah, Adeb Salh, Mohammed A. Alhartomi, Salman Ahmed
פורמט: Artigo
שפה:Inglês
יצא לאור: IEEE 2024-01-01
סדרה:IEEE Access
נושאים:
Anomaly detection
artificial intelligence
distributed denial of service (DDoS) attacks
machine learning
software-defined networking (SDN)
supervised learning
גישה מקוונת:https://ieeexplore.ieee.org/document/10734092/
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