An improved intrusion detection method for IIoT using attention mechanisms, BiGRU, and Inception-CNN
Author:
Funder
Xijing University
Publisher
Springer Science and Business Media LLC
Link
https://www.nature.com/articles/s41598-024-70094-2.pdf
Reference38 articles.
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2. Zhong, W., Yu, N. & Ai, C. Applying big data based deep learning system to intrusion detection. Big Data Min. Anal. 3, 181–195. https://doi.org/10.26599/bdma.2020.9020003 (2020).
3. Ullah, I. & Mahmoud, Q. H. Design and development of a deep learning-based model for anomaly detection in IoT networks. IEEE Access 9, 103906–103926. https://doi.org/10.1109/access.2021.3094024 (2021).
4. Park, C. et al. An enhanced AI-based network intrusion detection system using generative adversarial networks. IEEE Internet Things J. 10, 2330–2345. https://doi.org/10.1109/jiot.2022.3211346 (2023).
5. Saheed, Y. K., Abdulganiyu, O. H. & Tchakoucht, T. A. Modified genetic algorithm and fine-tuned long short-term memory network for intrusion detection in the internet of things networks with edge capabilities. Appl. Soft Comput. 155, 111434. https://doi.org/10.1016/j.asoc.2024.111434 (2024).
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