HIGHLIGHTS
- who: Muhammad Usman and collaborators from the Department of Computer Science, National University of Computer and Emerging Sciences, Islamabad have published the Article: Automatic Hybrid Access Control in SCADA-Enabled IIoT Networks Using Machine Learning, in the Journal: Sensors 2023, 23, 3931. of /2023/
- what: The authors explored the potential of supervised machine learning to automate role engineering for fine-grained access control in Industrial Internet of Things (IIoT) settings. The authors propose a mapping framework to employ a fine-tuned multilayer feedforward artificial neural network (ANN) and extreme learning machine (ELM) for role engineering . . .
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