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. 2023 May 17;13:8049. doi: 10.1038/s41598-023-35198-1

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Open AccessThis 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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The B-LSTM validation results of predicting the number of attacks from April, 2019 to March, 2022. (U) indicates an univariate model while (M) indicates a multivariate model. (a) Botnet attack with M-SMAPE=0.03. (b) Brute force attack with M-SMAPE=0.13. (c) SQL injection attack with M-SMAPE=0.04 using the feature of NoM. (d) Targeted attack with M-SMAPE=0.06 using the feature of NoM. Y axis is normalised in the case of multivariate models to account for the different ranges of feature values.