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The Cryptographic Key Distribution System for IoT Systems in the MQTT Environment.

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Related Experiment Video

Updated: Sep 16, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
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Procedures for Building a Secure Environment in IoT Networks Using the LoRa Interface.

Sebastian Łeska1, Janusz Furtak1

  • 1Faculty of Cybernetics, Military University of Technology, 00-908 Warsaw, Poland.

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|July 12, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a secure IoT environment using hardware Trusted Platform Module (TPM) 2.0. It offers node registration and device authentication protocols suitable for resource-constrained IoT devices.

Keywords:
IoT authenticationPCR registerssecurity in IoTtrusted IoT environmenttrusted platform module

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Embedded Systems

Background:

  • Internet of Things (IoT) devices face limitations in memory and processing power, hindering traditional security mechanisms.
  • Autonomous IoT operations and resource constraints preclude user interaction and complex cryptography.
  • Existing security solutions are often unsuitable for the unique challenges of IoT environments.

Purpose of the Study:

  • To propose a set of mechanisms for establishing a trusted IoT environment.
  • To address the security needs of resource-constrained IoT devices.
  • To develop secure node registration and device authentication protocols for untrusted environments.

Main Methods:

  • Utilized hardware Trusted Platform Module (TPM) 2.0 for secure IoT environment construction.
  • Developed secure node registration procedures for uncontrolled environments.
  • Implemented a device authentication protocol using TPM's Platform Configuration Registers (PCRs) and the Proof of Knowledge concept.
  • Integrated a symmetric key distribution protocol based on the Key Translation Centre (KTC) scheme.
  • Employed LoRa (Long Range) communication with a proprietary device identification method for confidentiality.

Main Results:

  • Successfully demonstrated a secure IoT environment tailored for devices with limited resources.
  • Proposed and validated novel protocols for secure IoT node registration and authentication.
  • Ensured confidentiality of communication parties' identities through a proprietary LoRa device identification method.
  • The developed mechanisms are effective for IoT networks with low memory and computing power.

Conclusions:

  • The proposed TPM 2.0-based mechanisms provide a viable solution for securing resource-constrained IoT devices.
  • The developed protocols enhance the security of IoT networks against untrusted environments.
  • The solution effectively balances security requirements with the inherent limitations of IoT hardware.