Augmented Reality and the Digital Twin: State-of-the-Art and Perspectives for Cybersecurity

Böhm, Fabian; Dietz, Marietheres; Preindl, Tobias; Pernul, Günther

doi:10.3390/jcp1030026

Cited by 12 publications

(6 citation statements)

References 58 publications

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“…The AI technologies implementation possibilities in AR are reviewed in [ 173 ]. A summary of the existing knowledge on AR-powered digital twins is given in [ 174 ]. In addition, an overview of the current knowledge and future challenges of augmented reality smart glasses (ARSG) for use by industrial operators in presented in [ 175 ].…”

Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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Recently, there has been a growing interest in issues related to maintenance performance management, which is confirmed by a significant number of publications and reports devoted to these problems. However, theoretical and application studies indicate a lack of research on the systematic literature reviews and surveys of studies that would focus on the evolution of Industry 4.0 technologies used in the maintenance area in a cross-sectional manner. Therefore, the paper reviews the existing literature to present an up-to-date and content-relevant analysis in this field. The proposed methodology includes bibliometric performance analysis and a review of the systematic literature. First, the general bibliometric analysis was conducted based on the literature in Scopus and Web of Science databases. Later, the systematic search was performed using the Primo multi-search tool following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. The main inclusion criteria included the publication dates (studies published from 2012–2022), studies published in English, and studies found in the selected databases. In addition, the authors focused on research work within the scope of the Maintenance 4.0 study. Therefore, papers within the following research fields were selected: (a) augmented reality, (b) virtual reality, (c) system architecture, (d) data-driven decision, (e) Operator 4.0, and (f) cybersecurity. This resulted in the selection of the 214 most relevant papers in the investigated area. Finally, the selected articles in this review were categorized into five groups: (1) Data-driven decision-making in Maintenance 4.0, (2) Operator 4.0, (3) Virtual and Augmented reality in maintenance, 4) Maintenance system architecture, and 5) Cybersecurity in maintenance. The obtained results have led the authors to specify the main research problems and trends related to the analyzed area and to identify the main research gaps for future investigation from academic and engineering perspectives.

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Section: Systematic Literature Review Of the Selected Papers Within T...mentioning

confidence: 99%

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Werbińska-Wojciechowska

Winiarska

2023

Sensors

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“…Very similar VR-based DT systems for industrial robot simulation were presented in [39,40]. The benefits of AR-based DT systems and their combinations were discussed in [41].…”

Section: Digital Twins In Industry 40mentioning

confidence: 99%

Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies

Gallala

Kumar

Hichri

et al. 2022

Sensors

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There has been a rapid increase in the use of collaborative robots in manufacturing industries within the context of Industry 4.0 and smart factories. The existing human–robot interactions, simulations, and robot programming methods do not fit into these fast-paced technological advances as they are time-consuming, require engineering expertise, waste a lot of time in programming and the interaction is not trivial for non-expert operators. To tackle these challenges, we propose a digital twin (DT) approach for human–robot interactions (HRIs) in hybrid teams in this paper. We achieved this using Industry 4.0 enabling technologies, such as mixed reality, the Internet of Things, collaborative robots, and artificial intelligence. We present a use case scenario of the proposed method using Microsoft Hololens 2 and KUKA IIWA collaborative robot. The obtained results indicated that it is possible to achieve efficient human–robot interactions using these advanced technologies, even with operators who have not been trained in programming. The proposed method has further benefits, such as real-time simulation in natural environments and flexible system integration to incorporate new devices (e.g., robots or software capabilities).

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“…DT technology can be used to mitigate security attacks in IoTbased healthcare systems by using risks simulation and testing capabilities in virtual world or improved perceptibility of the system behaviours. DT plays a significant role in solving the following cybersecurity challenges [12]. ➢ Enhanced Security Patch Management: One of the main limitations of the patching operation technology (OT) is recognizing the impact of using the security patch on the overall system.…”

Section: Applicability Of Digital Twins For Reinforcing Cybersecuritymentioning

confidence: 99%

Towards a Novel Framework for Reinforcing Cybersecurity using Digital Twins in IoT-based Healthcare Applications

Pirbhulal

Abie

Shukla

2022

2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring)

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In recent years, the cybersecurity attacks on the internet of things (IoT)-based healthcare systems became the major concern for researchers and health organizations. With time, the sophistication of these attacks is increasing. Therefore, healthcare service providers must implement efficient security mechanisms carefully while taking the advantages of connected devices without compromising the patient safety and disturbing the real-time health services. A digital twin (DT) is a virtual representation of a real-time counterpart of a physical world. DT offers significant advantages to cybersecurity experts, empowering them to predict risks without entering the physical world, and to simulate and test cyber-attacks that would otherwise be infeasible to do in real-time in the physical environment. DT in healthcare helps to identify security vulnerabilities, conduct attack simulations, and potential security breaches by creating a virtual replica of the targeted healthcare systems. In this paper, a novel and automated conceptual framework is developed for reinforcing the cybersecurity in IoT-based healthcare using DT technology. It includes the conceptualization and analysis of the proposed framework which can provide dynamic and adaptive security solution to identify real-time threats and vulnerabilities in IoTbased healthcare applications.

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Augmented Reality and the Digital Twin: State-of-the-Art and Perspectives for Cybersecurity

Cited by 12 publications

References 58 publications

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Maintenance Performance in the Age of Industry 4.0: A Bibliometric Performance Analysis and a Systematic Literature Review

Digital Twin for Human–Robot Interactions by Means of Industry 4.0 Enabling Technologies

Towards a Novel Framework for Reinforcing Cybersecurity using Digital Twins in IoT-based Healthcare Applications

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