Large-Scale and Robust Intrusion Detection Model Combining Improved Deep Belief Network With Feature-Weighted SVM

Large-Scale and Robust Intrusion Detection Model Combining Improved Deep Belief Network With Feature-Weighted SVM

In a large-scale data environment, the “curse of dimensionality” of high-dimensional feature spaces and the large amount of noisy data make the efficiency and accuracy of intrusion detection systems (IDSs) significantly decrease. To address these challenges, the underlying algo...

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Bibliographic Details
Main Authors: Yukun Wu, Wei William Lee, Zhicheng Xu, Minya Ni
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Intrusion detection
feature redundancy
deep belief network
feature extraction
NSL-KDD
Online Access:https://ieeexplore.ieee.org/document/9094066/

Internet

https://ieeexplore.ieee.org/document/9094066/

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