research-article

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control

Authors:

Jithin Jagannath,

Keyvan Ramezanpour,

Anu JagannathAuthors Info & Claims

WiseML '22: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning

Pages 81 - 86

https://doi.org/10.1145/3522783.3529519

Published: 16 May 2022 Publication History

Abstract

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 layered architecture for a DT framework with decentralized implementation on cloud computing and enabled by artificial intelligence (AI) services for modeling and decision-making processes. The DT framework separates the control functions, deployed as a system of logically centralized process, from the physical devices under control, much like software-defined networking (SDN) in fifth generation (5G) wireless networks. To clarify the significance of DT in lowering the risk of development and deployment of innovative technologies on existing system, we discuss the application of implementing zero trust architecture (ZTA) as a necessary security framework in future data-driven communication networks.

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Cited By

Yalavarthy UKumar NBabu ANarasipuram RPadmanaban S(2025)Digital twin technology in electric and self-navigating vehicles: Readiness, convergence, and future directionsEnergy Conversion and Management: X10.1016/j.ecmx.2025.100949(100949)Online publication date: Mar-2025
https://doi.org/10.1016/j.ecmx.2025.100949
Eskandari AMalekizadeh MPeyravi MNedaei AKolahi MErdogan NCali UAghaei M(2025)Electric mobility and beyond: advancing charging infrastructure optimization with digital twinsDigital Twin Technology for the Energy Sector10.1016/B978-0-443-14070-9.00012-3(267-287)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-14070-9.00012-3
Wang D(2024)Sustainable Manufacturing Through Digital Twin and Reinforcement LearningUtilizing Renewable Energy, Technology, and Education for Industry 5.010.4018/979-8-3693-2814-9.ch016(357-375)Online publication date: 21-Jun-2024
https://doi.org/10.4018/979-8-3693-2814-9.ch016
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Index Terms

Digital Twin Virtualization with Machine Learning for IoT and Beyond 5G Networks: Research Directions for Security and Optimal Control
1. Information systems
  1. Information systems applications
    1. Decision support systems
      1. Data analytics
      2. Online analytical processing
    2. Process control systems

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cover image ACM Conferences

WiseML '22: Proceedings of the 2022 ACM Workshop on Wireless Security and Machine Learning

May 2022

93 pages

ISBN:9781450392778

DOI:10.1145/3522783

General Chair:
Murtuza Jadliwala
University of Texas at San Antonio, San Antonio, Texas, USA

Copyright © 2022 ACM.

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Published: 16 May 2022

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WiSec '22

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WiSec '22: 15th ACM Conference on Security and Privacy in Wireless and Mobile Networks

May 19, 2022

TX, San Antonio, USA

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Cited By

Yalavarthy UKumar NBabu ANarasipuram RPadmanaban S(2025)Digital twin technology in electric and self-navigating vehicles: Readiness, convergence, and future directionsEnergy Conversion and Management: X10.1016/j.ecmx.2025.100949(100949)Online publication date: Mar-2025
https://doi.org/10.1016/j.ecmx.2025.100949
Eskandari AMalekizadeh MPeyravi MNedaei AKolahi MErdogan NCali UAghaei M(2025)Electric mobility and beyond: advancing charging infrastructure optimization with digital twinsDigital Twin Technology for the Energy Sector10.1016/B978-0-443-14070-9.00012-3(267-287)Online publication date: 2025
https://doi.org/10.1016/B978-0-443-14070-9.00012-3
Wang D(2024)Sustainable Manufacturing Through Digital Twin and Reinforcement LearningUtilizing Renewable Energy, Technology, and Education for Industry 5.010.4018/979-8-3693-2814-9.ch016(357-375)Online publication date: 21-Jun-2024
https://doi.org/10.4018/979-8-3693-2814-9.ch016
Aschieri DSobrino NMacii E(2024)Web-GIS Application for Hydrogeological Risk Prevention: The Case Study of Cervo ValleySustainability10.3390/su1622983316:22(9833)Online publication date: 11-Nov-2024
https://doi.org/10.3390/su16229833
Sun LLi NWang ZXia ALiu Z(2024)Research on Prediction and Response Algorithm of Network Security Events Driven by Security SituationProceedings of the 2024 9th International Conference on Cyber Security and Information Engineering10.1145/3689236.3696737(263-268)Online publication date: 15-Sep-2024
https://dl.acm.org/doi/10.1145/3689236.3696737
Ruah CSimeone OHoydis JAl-Hashimi B(2024)Calibrating Wireless Ray Tracing for Digital Twinning Using Local Phase Error EstimatesIEEE Transactions on Machine Learning in Communications and Networking10.1109/TMLCN.2024.34483912(1193-1215)Online publication date: 2024
https://doi.org/10.1109/TMLCN.2024.3448391
Polese MBonati LD'Oro SJohari PVilla DVelumani SGangula RTsampazi MPaul Robinson CGemmi GLacava AMaxenti SCheng HMelodia T(2024)Colosseum: The Open RAN Digital TwinIEEE Open Journal of the Communications Society10.1109/OJCOMS.2024.34474725(5452-5466)Online publication date: 2024
https://doi.org/10.1109/OJCOMS.2024.3447472
Maksimović MJokić SBošković M(2024)Digital Twins and 5G: Unlocking the Potential in the Energy Sector2024 23rd International Symposium INFOTEH-JAHORINA (INFOTEH)10.1109/INFOTEH60418.2024.10495937(1-6)Online publication date: 20-Mar-2024
https://doi.org/10.1109/INFOTEH60418.2024.10495937
Ramamoorthy SSindhu LValarmathi KC GUmaeswari P(2024)Digital Twin-Driven Intrusion Detection for IoT and Cyber-Physical System2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)10.1109/IACIS61494.2024.10721930(1-8)Online publication date: 23-Aug-2024
https://doi.org/10.1109/IACIS61494.2024.10721930
Sasikala MMahaboob John YJothi BS NS S(2024)Integrating Digital Twins with AI for Real-Time Intrusion Detection in Smart Infrastructure Networks2024 International Conference on Intelligent Algorithms for Computational Intelligence Systems (IACIS)10.1109/IACIS61494.2024.10721892(1-6)Online publication date: 23-Aug-2024
https://doi.org/10.1109/IACIS61494.2024.10721892
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