Ensuring Functional Stability of Technological Processes as Cyberphysical Systems Using Neural Networks
Author:
Publisher
Springer International Publishing
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-20141-7_53
Reference23 articles.
1. Edward, A., Sanjit, A.: Introduction to Embedded Systems. A Cyber-Physical Systems Approach. MIT Press, London (2017)
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3. Muammer, E., Lo’ai, T., Fadi, M..: The security concerns on cyber-physical systems and potential risks analysis using machine learning. Procedia Comput. Sci. 201, 527–534 (2022). https://doi.org/10.1016/j.procs.2022.03.068
4. Latif, S., Wen, F., Band, S., et al.: AI-empowered, blockchain and SDN integrated security architecture for IoT network of cyber physical systems. Comput. Commun. 181, 274–283 (2021). https://doi.org/10.1016/j.comcom.2021.09.029
5. Yevseiev, S., Ponomarenko, V., Laptiev, O., et al.: Synergy of Building Cybersecurity Systems. PC Technology Center, Kharkiv (2021). https://doi.org/10.15587/978-617-7319-31-2
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