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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Vydáno v:	Transactions on emerging telecommunications technologies Ročník 32; číslo 1
Hlavní autoři:	Ahmad, Zeeshan, Shahid Khan, Adnan, Wai Shiang, Cheah, Abdullah, Johari, Ahmad, Farhan
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	01.01.2021
Témata:	Deep learning Machine learning Network anomaly detection Network intrusion detection system Network security
ISSN:	2161-3915, 2161-3915
On-line přístup:	Získat plný text
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