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March 23, 2026Procedia Computer Science0 citationsOpen Access

Cybersecurity issues related to incorporation of VR components into Industry 5.0 human-machine interfaces

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RKRuslan KozakYSYuriy SkorenkyyOKOleksandr Kramar

Key Points

  • The research aims to explore cybersecurity issues arising from integrating VR into Industry 5.0 human-machine interfaces.
  • Examination of cybersecurity threats using the STRIDE methodology
  • Development of a discrete event simulation model
  • Prioritization of security countermeasures based on multiple criteria
  • Early detection and targeted mitigation reduce risks from high-impact cyberattacks
  • Optimizing security expenditure is feasible while addressing vulnerabilities
  • A secure-by-design strategy offers practical guidelines for manufacturers

Abstract

This paper examines cybersecurity threats related to introducing Virtual Reality (VR) interfaces into Industry 5.0 human-machine interaction systems. Utilizing the STRIDE methodology, the research identifies the threats landscape specific to VR-enabled industrial data platforms. A discrete event simulation model is developed to prioritize security countermeasures based on threat severity, mitigation effectiveness, mitigation cost, and risk appetite. The findings demonstrate that early detection and targeted mitigation execution significantly reduce high-impact cyberattack risks while optimizing security expenditure. The research proposes a secure-by-design approach that balances technological capabilities with human-centric operational requirements, addressing the unique challenges of implementing digital twins with VR interfaces in complex manufacturing environments. This analytics-driven approach provides implementation-ready guidelines for manufacturers transitioning to digitally-enabled production systems while maintaining business continuity and protecting sensitive industrial data.

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Cite This Study

Kozak et al. (2026) studied this question.

synapsesocial.com/papers/69c0de74fddb9876e79c1449https://doi.org/10.1016/j.procs.2026.02.022
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