An AI-Powered Network Intrusion Detection System in Industrial IoT Devices via Deep Learning
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-38165-2_131
Reference24 articles.
1. Shahin, M., Chen, F.F., Bouzary, H., Krishnaiyer, K.: Integration of Lean practices and Industry 4.0 technologies: smart manufacturing for next-generation enterprises. Int. J. Adv. Manuf. Technol. 107(5–6), 2927–2936 (2020). https://doi.org/10.1007/s00170-020-05124-0
2. Donnal, J., McDowell, R., Kutzer, M.: Decentralized IoT with Wattsworth. In: 2020 IEEE 6th World Forum on Internet of Things (WF-IoT), pp. 1–6 (2020)
3. Shahin, M., Chen, F., Bouzary, H., et al.: Classification and Detection of Malicious Attacks in Industrial IoT Devices via Machine Learning. In: Kim, K.-Y., Monplaisir, L., Rickli, J. (eds.) Flexible Automation and Intelligent Manufacturing: The Human-Data-Technology Nexus, pp. 99–106. Springer International Publishing, Cham (2023)
4. Baumann, D., Mager, F., Wetzker, U., et al.: Wireless control for smart manufacturing: recent approaches and open challenges. Proc. IEEE 109, 441–467 (2021). https://doi.org/10.1109/JPROC.2020.3032633
5. ICS Monitor Newsletters | CISA,” Oct. 21, 2019. https://www.us-cert.gov/ics/monitors. Accessed 20 Nov 2022
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