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1 Correction to: Neural Computing and Applications https://doi.org/10.1007/s00521-022-06965-4
The article” DEIDS: a novel intrusion detection system for industrial control systems”, written by Haoran Gu, Yingxu Lai, Yipeng Wang, Jing Liu, Motong Sun and Beifeng Mao, was originally published electronically on the publisher’s internet portal on [7 February 2022] without open access. With the author(s)’ decision to opt for Open Choice the copyright of the article changed on [10 February 2022] to © The Authors 2022 and the article is forthwith distributed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0.
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Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
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Gu, H., Lai, Y., Wang, Y. et al. Correction to: DEIDS: a novel intrusion detection system for industrial control systems. Neural Comput & Applic 34, 21405 (2022). https://doi.org/10.1007/s00521-022-07132-5
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DOI: https://doi.org/10.1007/s00521-022-07132-5