Designing a Network Intrusion Detection System Based on Machine Learning for Software Defined Networks

Software-defined Networking (SDN) has recently developed and been put forward as a promising and encouraging solution for future internet architecture. Managed, the centralized and controlled network has become more flexible and visible using SDN. On the other hand, these advantages bring us a more...

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Veröffentlicht in:	Future internet Jg. 13; H. 5; S. 111
Hauptverfasser:	Alzahrani, Abdulsalam O., Alenazi, Mohammed J. F.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 2021
Schlagworte:	Accuracy Algorithms Artificial intelligence Big Data Classification Computer architecture Cybersecurity Data analysis Datasets Decision trees Deep learning Disease Electronic banking feature scaling Heart Impact analysis Internet of Things Intrusion detection systems Machine learning network intrusion detection system (NIDS) Network management systems Neural networks NSL-KDD Paralysis Sensors Social networks Software software defined network (SDN) Software-defined networking Traffic congestion Traffic control XGBoost
ISSN:	1999-5903, 1999-5903
Online-Zugang:	Volltext
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