A Deep Learning Approach to Network Intrusion Detection

Network intrusion detection systems (NIDSs) play a crucial role in defending computer networks. However, there are concerns regarding the feasibility and sustainability of current approaches when faced with the demands of modern networks. More specifically, these concerns relate to the increasing le...

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Veröffentlicht in:	IEEE transactions on emerging topics in computational intelligence Jg. 2; H. 1; S. 41 - 50
Hauptverfasser:	Shone, Nathan, Ngoc, Tran Nguyen, Phai, Vu Dinh, Shi, Qi
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Piscataway IEEE 01.02.2018 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Anomaly detection auto-encoders Communication networks Computer networks Deep learning Graphics processing units Intrusion detection Intrusion detection systems KDD Machine learning Monitoring network security Training data
ISSN:	2471-285X, 2471-285X
Online-Zugang:	Volltext
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