Enhanced Network Anomaly Detection Based on Deep Neural Networks
Abstract
Due to the monumental growth of Internet applications in the last decade, the need for security of information network has increased manifolds. As a primary defense of network infrastructure, an intrusion detection system is expected to adapt to dynamically changing threat landscape. Many supervised and unsupervised techniques have been devised by researchers from the discipline of machine learning and data mining to achieve reliable detection...
Paper Details
Title
Enhanced Network Anomaly Detection Based on Deep Neural Networks
Published Date
Aug 17, 2018
Journal
Volume
6
Pages
48231 - 48246
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