DNN Intrusion Detection Model Based on DT and PCA

DNN Intrusion Detection Model Based on DT and PCA

Intrusion detection is an important field. The problems such as high false alarm rate, low detection rate, slow processing speed and high feature dimension plague the experts and scholars in this field. For those problems, this paper proposes an intrusion detection model DT-PCA-DNN combining DT (dec...

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Bibliographic Details
Main Author: WU Xiaodong, LIU Jinghao, JIN Jie, MAO Siping
Format: Article
Language:zho
Published: Journal of Computer Engineering and Applications Beijing Co., Ltd., Science Press 2021-08-01
Series:Jisuanji kexue yu tansuo
Subjects:
decision tree (dt)
principal component analysis (pca)
deep neural networks (dnn)
intrusion detection
Online Access:http://fcst.ceaj.org/CN/abstract/abstract2829.shtml

Internet

http://fcst.ceaj.org/CN/abstract/abstract2829.shtml

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