A Multiple-Layer Representation Learning Model for Network-Based Attack Detection

A Multiple-Layer Representation Learning Model for Network-Based Attack Detection

Accurate detection of network-based attacks is crucial to prevent security breaches of information systems. The recent application of deep learning approaches for network intrusion detection has shown promising. However, the challenges remain on how to deal with imbalance data and small samples as w...

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Bibliographic Details
Main Authors: Xueqin Zhang, Jiahao Chen, Yue Zhou, Liangxiu Han, Jiajun Lin
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Network intrusion detection
convolutional neural networks
deep random forests
representation learning
Online Access:https://ieeexplore.ieee.org/document/8758106/

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