Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control. (arXiv:2204.01950v1 [cs.NI])

Digital twin (DT) technologies have emerged as a solution for real-time
data-driven modeling of cyber physical systems (CPS) using the vast amount of
data available by Internet of Things (IoT) networks. In this position paper, we
elucidate unique characteristics and capabilities of a DT framework that
enables realization of such promises as online learning of a physical
environment, real-time monitoring of assets, Monte Carlo heuristic search for
predictive prevention, on-policy, and off-policy reinforcement learning in
real-time. We establish a conceptual …

5g arxiv digital digital twin iot learning machine machine learning networks research security virtualization