A Survey of Role-Based Access Control Implementation in HMI Systems for Industrial Automation

Notice

This is an unedited manuscript accepted for publication and provided as an Article in Press for early access at the author’s request. The article will undergo copyediting, typesetting, and galley proof review before final publication. Please be aware that errors may be identified during production that could affect the content. All legal disclaimers of the journal apply.

Year : 2025 | Volume : 03 | Issue : 02 | Page :
    By

    Alpeshkumar Kathiriya,

  1. Application Engineer, IT Department , Amneal Pharmaceuticals, New Jersey, USA

Abstract

The convergence of Role-Based Access Control (RBAC) and Human-Machine Interface (HMI) systems presents a transformative approach to secure and efficient industrial automation in Industry 4.0. By integrating RBAC with Multi-Factor Authentication (MFA), this framework enhances cybersecurity while maintaining operational flexibility, mitigating both external threats and internal vulnerabilities. Modern adaptive HMIs further optimize user experience through personalized and intuitive interfaces, though challenges remain in balancing functionality with simplicity in complex industrial environments. Future research directions include AI-driven dynamic RBAC for real-time permission adjustments, blockchain-based decentralized access control, and quantum-resistant encryption for safeguarding SCADA systems. Additionally, advancements in behavioral biometrics, predictive HMIs, and explainable AI will refine security and usability, while augmented reality (AR)-enabled training and energy-efficient authentication protocols will address workforce and IIoT challenges. This study highlights the critical synergy between RBAC and HMI in smart manufacturing, proposing innovative solutions to bridge current gaps and drive next-generation industrial automation toward resilient, user- centric, and secure operations.

Keywords: Role-based access control (RBAC), human-machine interface (HMI), industry 4.0, multi- factor authentication (MFA), adaptive interfaces, industrial cybersecurity, smart manufacturing

[This article belongs to International Journal of Advanced Control and System Engineering ]

How to cite this article:
Alpeshkumar Kathiriya. A Survey of Role-Based Access Control Implementation in HMI Systems for Industrial Automation. International Journal of Advanced Control and System Engineering. 2025; 03(02):-.
How to cite this URL:
Alpeshkumar Kathiriya. A Survey of Role-Based Access Control Implementation in HMI Systems for Industrial Automation. International Journal of Advanced Control and System Engineering. 2025; 03(02):-. Available from: https://journals.stmjournals.com/ijacse/article=2025/view=229304


References

  1. Panter L, Leder R, Keiser D, Freitag M. Requirements for human-machine-interaction applications in production and logistics within Industry 5.0 – a case study approach. Procedia Comput Sci. 2024;232:1164–71.
  2. Salunke D, Upadhyay A, Sarwade A, Marde V, Kandekar S. A survey paper on role-based access control. Int J Adv Res Comput Commun Eng. 2013.
  3. Carrera-Rivera A, Reguera-Bakhache D, Larrinaga F, Lasa G. Exploring the transformation of user interactions to adaptive human-machine interfaces. ACM Int Conf Proc Ser. 2023;1–7.
  4. Cai W, Huang R, Hou X, Wei G, Xiao S, Chen Y. Atom-role-based access control model. IEICE  Trans Inf Syst. 2012;E95-D(7):1908–17.
  5. Patel R. Security challenges in industrial communication networks: a survey on Ethernet/IP, ControlNet, and DeviceNet. Int J Recent Technol Sci Manag. 2022;7(8):54–63.
  6. Nyame G, Qin Z. Precursors of role-based access control design in KMS: a conceptual framework. Information. 2020;11(6).
  7. Happer C. Role-based access control (RBAC) and encryption techniques for enhancing relational database. 2025;1–12.
  8. Jyoti, Kaur G. Research paper on human-computer interaction (HCI). Int J Multidiscip Res. 2023;5(2):1–9.
  9. Malali N, Madugula SRP. Predictive analytics and artificial intelligence for regulatory (RegTech) compliance in the financial industry. Int Conf Distrib Comput Electr Circuits Electron. 2025;1–7.
  10. Šverko M, Grbac TG. Automated HMI design as a custom feature in industrial SCADA systems. Procedia Comput Sci. 2024;232:1789–98.
  11. Chouhan APS, Verma A, Singh V, Singh L, Suklabaidya G, Sharma A, et al. Security and privacy in human-machine interaction for healthcare. Elsevier. 2024;377–92.
  12. Setiawan A, Sugeng, Koesoema KI, Bakhri S, Aditya J. The SCADA system using PLC and HMI to improve the effectiveness and efficiency of production processes. IOP Conf Ser Mater Sci Eng. 2019;550(1):012008.
  13. Figueroa-Lorenzo S, Añorga J, Arrizabalaga S. A role-based access control model in Modbus SCADA systems: a centralized model approach. Sensors (Switzerland). 2019;19(20).
  14. Cheng YL, Wang F, Shang LM, Wang BR, Xu J. Improved access control strategy based on RBAC model and its application. Proc 2015 5th Int Conf Comput Sci Autom Eng. 2016.
  15. Williamson J, Curran K. The role of multi-factor authentication for modern day security. Semicond Sci Inf Devices. 2021;3(1):16–23.
  16. Syahreen M, Hafizah N, Maarop N, Maslinan M. A systematic review on multi-factor authentication framework. Int J Adv Comput Sci Appl. 2024;15(5):1043–50.
  17. BS S, Basu AB. Review of role-based access control method for securing user space in cloud computing. Int J Comput Trends Technol. 2014.
  18. Grobelna I, Mailland D, Horwat M. Design of automotive HMI: new challenges in enhancing user experience, safety, and security. Appl Sci. 2025;15(10).
  19. Evans Z, Leonetti M, Brandão M. Bias and performance disparities in reinforcement learning for human-robot interaction. Proc 20th ACM/IEEE Int Conf Human-Robot Interaction (HRI). 2025;1299–303.
  20. Lee A, Rapoport BI. Leveraging physical human-robot interaction for surgical robot learning in neuroendoscopy. Proc 20th ACM/IEEE Int Conf Human-Robot Interaction (HRI). 2025;1866–8.
  21. Kytainyk VV, Yushchenko AG, Lyalin DY. AI-human cooperation in “second brain” technology, as a modern implementation of general evolution in human-machine interaction. Proc 7th Int Congr Human-Computer Interaction, Optimization and Robotic Applications (ICHORA). 2025;1–9.
  22. Leong WY, Leong YZ, Leong WS. Human-machine interaction in the electric vehicle battery industry. Proc 10th Int Conf Appl Syst Innov (ICASI). 2024;69–71.
  23. Chauhan A, TR M, Upadhyay S. Designing user-friendly human-machine interaction interfaces for industrial systems. Proc IEEE 13th Int Conf Commun Syst Netw Technol (CSNT). 2024;794–801.
  24. Maulana N, Istiqomah F, Priananda CW. Integration of centralized fingerprint biometric authentication to prevent room access violations using RBAC. Proc Int Conf Adv Mechatron Intell Manuf Ind Autom (ICAMIMIA). 2023.
  25. Almadani MS, Hussain FK. Implementing a secure blockchain-based wallet system with multi- factor authentication. Proc IEEE Int Conf e-Business Eng (ICEBE). 2023.
  26. Verma AK, Fatima S, Panigrahi BK. A reliable framework for predicting wind turbine failures utilising SCADA and alarm data. Proc 5th Int Conf Syst Reliab Saf Eng (SRSE). 2023.
Regular Issue Subscription Original Research
Volume 03
Issue 02
Received 31/07/2025
Accepted 25/08/2025
Published 15/10/2025
Publication Time 76 Days
285

Login


My IP

PlumX Metrics