Detecting cyberattacks in industrial control systems using online learning algorithms-Reference-Cited by-同舟云学术

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Detecting cyberattacks in industrial control systems using online learning algorithms

Published:2019-10 Issue: Volume:364 Page:338-348
ISSN:0925-2312
Container-title:Neurocomputing
language:en
Short-container-title:Neurocomputing

Author:

Li Guangxia^ORCID,Shen Yulong,Zhao Peilin,Lu Xiao,Liu Jia,Liu Yangyang,Hoi Steven C. H.

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience,Computer Science Applications

Reference41 articles.

1. N. Falliere, L. O. Murchu, E. Chien, W32.Stuxnet dossier, White paper, Symantec Corp., Security Response 5(6) (2011).

2. Online learning: a comprehensive survey;Hoi;CoRR,2018

3. Research challenges for the security of control systems;Cárdenas,2008

4. A survey of cyber security management in industrial control systems;Knowles;IJCIP,2015

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