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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Bibliografski detalji

Glavni autori:	Abdinasir Hirsi, Lukman Audah, Adeb Salh, Mohammed A. Alhartomi, Salman Ahmed
Format:	Artigo
Jezik:	Inglês
Izdano:	IEEE 2024-01-01
Serija:	IEEE Access
Teme:	Anomaly detection artificial intelligence distributed denial of service (DDoS) attacks machine learning software-defined networking (SDN) supervised learning
Online pristup:	https://ieeexplore.ieee.org/document/10734092/
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