Enhancing intrusion detection in IIoT: optimized CNN model with multi-class SMOTE balancing
Author:
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s00521-024-09857-x.pdf
Reference40 articles.
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3. Alamleh A, Albahri OS, Zaidan AA, Albahri AS, Alamoodi AH, Zaidan BB, Qahtan S, Alsatar HA, Al-Samarraay MS, Jasim AN (2023) Federated learning for IoMT applications: a standardization and benchmarking framework of intrusion detection systems. IEEE J Biomed Heal Inform 27:878–887. https://doi.org/10.1109/JBHI.2022.3167256
4. Samara G, Aljaidi M, Alazaidah R, Qasem MH, Hassan M, Al-Milli N, Al-Batah MS, Kanan M (2023) A comprehensive review of machine learning-based intrusion detection techniques for IoT networks. In: Artificial intelligence, internet of things, and society 5.0, pp 465–473. https://doi.org/10.1007/978-3-031-43300-9_38
5. Khan IA, Keshk M, Pi D, Khan N, Hussain Y, Soliman H (2022) Enhancing IIoT networks protection: a robust security model for attack detection in internet industrial control systems. Ad Hoc Netw. https://doi.org/10.1016/j.adhoc.2022.102930
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