Deep Belief Network Integrating Improved Kernel-Based Extreme Learning Machine for Network Intrusion Detection

Deep Belief Network Integrating Improved Kernel-Based Extreme Learning Machine for Network Intrusion Detection

Deep learning has become a research hotspot in the field of network intrusion detection. In order to further improve the detection accuracy and performance, we proposed an intrusion detection model based on improved deep belief network (DBN). Traditional neural network training methods, like Back Pr...

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Bibliographic Details
Main Authors: Zhendong Wang, Yong Zeng, Yaodi Liu, Dahai Li
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Intrusion detection
deep belief network
kernel-based extreme learning machine
grey wolf optimizer
Online Access:https://ieeexplore.ieee.org/document/9319853/

Internet

https://ieeexplore.ieee.org/document/9319853/

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