Multi-level adaptive coupled method for industrial control networks safety based on machine learning-Reference-Cited by-同舟云学术

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Multi-level adaptive coupled method for industrial control networks safety based on machine learning

Published:2019-12 Issue: Volume:120 Page:268-275
ISSN:0925-7535
Container-title:Safety Science
language:en
Short-container-title:Safety Science

Author:

Chen Wanzhi,Liu Tianjiao,Tang Yu,Xu Dongsheng

Funder

Services Local Projects for Department of education of Liaoning Province

Doctor Launching Fund Projects of Liaoning Technical University

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety Research,Safety, Risk, Reliability and Quality

Reference26 articles.

1. A novel SVM-kNN-PSO ensemble method for intrusion detection system;Aburomman;J. Appl. Soft Comput.,2016

2. A neural network-based learning algorithm for intrusion detection systems;Ahmed;J. Wireless Person. Commun.,2017

3. Multi-level hybrid support vector machine and extreme learning machine based on modified k-means for intrusion detection system;Al-Yaseen;J. Expert Syst. Appl.,2017

4. A hybrid method consisting of GA and SVM for intrusion detection system;Aslahi-Shahri;J. Neural Comput. Appl.,2016

5. Intrusion detection method in industrial control network combining white list filtering and neural network;Chen;J. Comput. Appl.,2018

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