Enhanced pelican optimization algorithm with ensemble-based anomaly detection in industrial internet of things environment
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Springer Science and Business Media LLC
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https://link.springer.com/content/pdf/10.1007/s10586-024-04303-y.pdf
Reference33 articles.
1. Asgharzadeh, H., Ghaffari, A., Masdari, M., Gharehchopogh, F.S.: Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm. J. Parallel Distrib. Comput. 175, 1–21 (2023)
2. Wang, Y., Wang, J., Jin, H.: Network intrusion detection method based on improved CNN in internet of things environment. Mob. Inf. Syst. (2022). https://doi.org/10.1155/2022/3850582
3. Alshahrani, H., Khan, A., Rizwan, M., Reshan, M.S.A., Sulaiman, A., Shaikh, A.: Intrusion detection framework for industrial internet of things using software defined network. Sustainability 15(11), 9001 (2023)
4. Selim, G.E.I., Hemdan, E.E.D., Shehata, A.M., El-Fishawy, N.A.: Anomaly events classification and detection system in critical industrial internet of things infrastructure using machine learning algorithms. Multimedia Tools Appl. 80, 12619–12640 (2021)
5. Le, T.T.H., Oktian, Y.E., Kim, H.: XGBoost for imbalanced multiclass classification-based industrial internet of things intrusion detection systems. Sustainability 14(14), 8707 (2022)
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