Combined Wireless Network Intrusion Detection Model Based on Deep Learning

Combined Wireless Network Intrusion Detection Model Based on Deep Learning

In order to effectively detect wireless network intrusion behavior, a combined wireless network intrusion detection model based on deep learning was proposed. First, a feature database was generated by feature mapping, one-hot encoding, and normalization processing. Then, we built a deep belief netw...

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Bibliographic Details
Main Authors: Hongyu Yang, Geng Qin, Li Ye
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Intrusion detection
information security
wireless network
deep belief network
support vector machine
Online Access:https://ieeexplore.ieee.org/document/8740873/

Internet

https://ieeexplore.ieee.org/document/8740873/

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