GAN-based imbalanced data intrusion detection system

According to the development of deep learning technologies, a wide variety of research is being performed to detect intrusion data by using vast amounts of data. Although deep learning performs more accurately than machine learning algorithms when learning large amounts of data, the performance decl...

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Veröffentlicht in:	Personal and ubiquitous computing 2021-02, Vol.25 (1), p.121-128
Hauptverfasser:	Lee, JooHwa, Park, KeeHyun
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Computer Science Data loss Deep learning Generative adversarial networks Intrusion detection systems Machine learning Mobile Computing Original Article Personal Computing User Interfaces and Human Computer Interaction
Online-Zugang:	Volltext
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