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This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

In the article titled “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network” [1], there was a missing affiliation for the second author. The corrected authors’ list and affiliations are shown above.

References

[1] V. V. Thang, F. F. Pashchenko, "Multistage system-based machine learning Techniques for intrusion detection in WiFi Network," Journal of Computer Networks and Communications, vol. 2019,DOI: 10.1155/2019/4708201, 2019.

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Copyright © 2020 Vu Viet Thang and F. F. Pashchenko. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/

Details

Title
Corrigendum to “Multistage System-Based Machine Learning Techniques for Intrusion Detection in WiFi Network”
Author
Vu, Viet Thang 1   VIAFID ORCID Logo  ; Pashchenko, F F 2 

1  Moscow Institute of Physics and Technology (State University), Moscow, Russia; Faculty of Information Technology, Hanoi University of Industry, Hanoi, Vietnam 
2  The Department of Information and Communication Technologies, MIPT (State University), Moscow, Russia; Trapeznikov Institute of Control Sciences, Russian Academy of Sciences, Moscow, Russia 
Publication year
2020
Publication date
2020
Publisher
John Wiley & Sons, Inc.
ISSN
20907141
e-ISSN
2090715X
Source type
Scholarly Journal
Language of publication
English
DOI
https://doi.org/10.1155/2020/6576725
ProQuest document ID
2444280249
Copyright
Copyright © 2020 Vu Viet Thang and F. F. Pashchenko. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. http://creativecommons.org/licenses/by/4.0/