A survey of deep learning-based network anomaly detection

Volume: 22, Issue: S1, Pages: 949 - 961
Published: Sep 27, 2017
Abstract
A great deal of attention has been given to deep learning over the past several years, and new deep learning techniques are emerging with improved functionality. Many computer and network applications actively utilize such deep learning algorithms and report enhanced performance through them. In this study, we present an overview of deep learning methodologies, including restricted Bolzmann machine-based deep belief network, deep neural network,...
Paper Details
Title
A survey of deep learning-based network anomaly detection
Published Date
Sep 27, 2017
Volume
22
Issue
S1
Pages
949 - 961
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