Network intrusion detection system: A systematic study of machine learning and deep learning approaches

The rapid advances in the internet and communication fields have resulted in a huge increase in the network size and the corresponding data. As a result, many novel attacks are being generated and have posed challenges for network security to accurately detect intrusions. Furthermore, the presence o...

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Veröffentlicht in:	Transactions on emerging telecommunications technologies Jg. 32; H. 1
Hauptverfasser:	Ahmad, Zeeshan, Shahid Khan, Adnan, Wai Shiang, Cheah, Abdullah, Johari, Ahmad, Farhan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	01.01.2021
Schlagworte:	Deep learning Machine learning Network anomaly detection Network intrusion detection system Network security
ISSN:	2161-3915, 2161-3915
Online-Zugang:	Volltext
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