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Secure command transmission techniques for industrial remote control.

Anas Abu Al-Hija'a1, M Andó2, B J Szekeres2

  • 1Institute of Computer Science, Faculty of Informatics of Eötvös Loránd University, ELTE, Budapest, Hungary. anasabualhaija@inf.elte.hu.

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Summary

Remote factory control enhances security by dynamically transmitting commands to microcontrollers, avoiding preloaded code risks. This novel method improves precision and reliability for smart factories in unstable regions.

Keywords:
Industrial Internet of Things (IIoT)Industry 4.0Remote control systemsSecure code transmission

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Area of Science:

  • Industrial Automation
  • Cybersecurity
  • Embedded Systems

Background:

  • Operating factories in volatile geopolitical areas presents significant security and operational risks.
  • Traditional methods of storing operational code on industrial controllers are vulnerable to data breaches and technical knowledge loss.
  • Remote management of production lines is crucial for mitigating risks in unstable environments.

Purpose of the Study:

  • To develop a secure and efficient remote control technique for industrial applications.
  • To enhance the protection of technical knowledge and proprietary algorithms in smart factories.
  • To offer a flexible solution for managing production lines remotely, even from geographically distant locations.

Main Methods:

  • A novel technique involving dynamic transmission of executable commands from a Python script to an ESP32-WROOM-32 microcontroller.
  • Implementing a system that interprets, executes, and erases commands immediately after execution, enhancing security.
  • Comparative analysis of eleven distinct methods, including bundled command transmission and dual-core processing for optimization.
  • Integration of Virtual Private Network (VPN) technology for secure remote access.

Main Results:

  • The proposed dynamic command transmission method significantly outperforms traditional on-site, preloaded code approaches.
  • Bundled command transmission combined with dual-core processing demonstrated reduced latency and improved reliability.
  • The system proved adaptable for global industrial operations, enabling remote control from distant locations.
  • Enhanced security and precision were achieved by eliminating the need to store operational code on the controller.

Conclusions:

  • The novel remote control technique offers a robust, secure, and flexible solution for modern smart factories.
  • Dynamic command interpretation and execution mitigate risks associated with remote factory operations in unstable environments.
  • This approach is vital for preserving technical knowledge and ensuring operational continuity in critical industrial settings.