A network intrusion detection method based on semantic Re-encoding and deep learning-Reference-Cited by-同舟云学术

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A network intrusion detection method based on semantic Re-encoding and deep learning

Published:2020-08 Issue: Volume:164 Page:102688
ISSN:1084-8045
Container-title:Journal of Network and Computer Applications
language:en
Short-container-title:Journal of Network and Computer Applications

Author:

Wu Zhendong,Wang Jingjing,Hu Liqin,Zhang Zhang,Wu Han

Funder

National Natural Science Foundation of China

Key Projects of NSFC Joint Fund of China

National Key R&D Program of China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Reference28 articles.

1. A survey of intrusion detection systems based on ensemble and hybrid classifiers;Aburomman;Comput. Secur.,2017

2. Deep learning approach combining sparse autoencoder with svm for network intrusion detection;Al-Qatf;IEEE Access,2018

3. Network anomaly detection: methods, systems and tools;Bhuyan;IEEE Commun. Surv. Tutor.,2013

4. Multiclass network attack classifier using cnn tuned with genetic algorithms;Blanco,2018

5. Network anomaly detection using channel boosted and residual learning based deep convolutional neural network;Chouhan;Appl. Soft Comput.,2019

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