Anomaly Detection Algorithm with Blockchain to Detect Potential Security Attacks in the IIoT Model of Industry 5.0
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Publisher
Springer Nature Switzerland
Link
https://link.springer.com/content/pdf/10.1007/978-3-031-50920-9_14
Reference24 articles.
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2. Lee, C., Kim, J., Kang, S.-J.: Semi-supervised anomaly detection with reinforcement learning. In: 2022 37th International Technical Conference on Circuits/Systems, Computers and Communications (ITC-CSCC), pp. 933–936 (2022). https://doi.org/10.1109/ITC-CSCC55581.2022.9895028
3. Almalawi, A., Tari, Z., Fahad, A., Yi, X.: A Global anomaly threshold to unsupervised detection. In: SCADA Security: Machine Learning Concepts for Intrusion Detection and Prevention, pp. 119–149. Wiley (2021). https://doi.org/10.1002/9781119606383.ch6
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