A neural convolutional network intrusion detection model based on autoencoder dimension reduction

In order to improve the accuracy of intrusion detection,considering the advantages of autoencoders in learning features and the mature application of residual networks in constructing deep models,an improved residual network intrusion detection model based on feature dimensionality reduction(IRFD)wa...

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Bibliographic Details

Published in:	Dianxin Kexue Vol. 41; no. 2; pp. 129 - 138
Main Authors:	Sun, Jing, Ding, Jiawei, Feng, Guanghui
Format:	Journal Article
Language:	Chinese English
Published:	Bejing China International Book Trading 01.02.2025 Beijing Xintong Media Co., Ltd
Subjects:	Accuracy convolutional attention mechanism Datasets intrusion detection model Machine learning network attack residual network stacking denoising sparse autoencoder
ISSN:	1000-0801
Online Access:	Get full text
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