RT Journal Article
T1 Digital Twins for Intelligent Authorization in the B5G-enabled Smart Grid
A1 López-Muñoz, Francisco Javier
A1 Rubio Cortés, Juan Enrique
A1 Alcaraz-Tello, María Cristina
K1 Autorizaciones
AB Beyond fifth-generation (B5G) communication networks and computation paradigms in the edge are expected to be integrated into power grids infrastructures over the next years. In this sense, AI technologies will play a fundamental role to efficiently manage dynamic information flows of future applications, which impacts the authorization policies applied in such a complex scenario. This article studies how Digital Twins can evolve their context-awareness capabilities and simulations technologies to anticipate faults or to detect cyber-security issues in real time, and update access control policies accordingly. Our study analyzes the evolution of monitoring platforms and architecture decentralization, including the application of machine learning and blockchain technologies in the Smart Grid, towards the goal of implementing autonomous and self-learning agents in the medium and long term. We conclude this study with future challenges on applying Digital Twins to B5G-based Smart Grid deployments.
PB IEEE Xplore
YR 2021
FD 2021-05-14
LK https://hdl.handle.net/10630/36352
UL https://hdl.handle.net/10630/36352
LA eng
NO J. Lopez, J. E. Rubio and C. Alcaraz, "Digital Twins for Intelligent Authorization in the B5G-Enabled Smart Grid," in IEEE Wireless Communications, vol. 28, no. 2, pp. 48-55, April 2021, doi: 10.1109/MWC.001.2000336
DS RIUMA. Repositorio Institucional de la Universidad de Málaga
RD 21 ene 2026