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Updated: May 28, 2026

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device
05:32

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Published on: November 24, 2016

A PUF-Based Secure and Lightweight Authentication Protocol for Medical IoT Environments.

Hyeongeun Lim1, Yohan Park2, Youngho Park1

  • 1School of Electronic and Electrical Engineering, Kyungpook National University, Daegu 41566, Republic of Korea.

Sensors (Basel, Switzerland)
|May 27, 2026
PubMed
Summary
This summary is machine-generated.

This study introduces a secure authentication protocol for the Medical Internet of Things (MIoT). It enhances patient data protection in healthcare settings by addressing vulnerabilities in existing systems.

Keywords:
Medical Internet of Things (MIoT)Physical Unclonable Functionlightweight authentication

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Last Updated: May 28, 2026

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05:32

A Detailed Protocol for Perspiration Monitoring Using a Novel, Small, Wireless Device

Published on: November 24, 2016

Area of Science:

  • Computer Science
  • Cybersecurity
  • Biomedical Engineering

Background:

  • The Medical Internet of Things (MIoT) leverages sensors for real-time patient monitoring and remote diagnostics.
  • Secure authentication is crucial in MIoT due to the vulnerability of public communication channels to security attacks.
  • Existing PUF-based authentication protocols for MIoT have security flaws, including susceptibility to eavesdropping and leakage attacks.

Purpose of the Study:

  • To propose a secure and lightweight Physical Unclonable Function (PUF)-based authentication protocol for MIoT environments.
  • To address the identified vulnerabilities in previously proposed MIoT authentication protocols.
  • To ensure robust security and privacy for patient data in resource-constrained healthcare settings.

Main Methods:

  • Formal security verification using Burrows-Abadi-Needham logic and the Real-or-Random model.
  • Security analysis and validation using the Scyther tool.
  • Practical implementation on a hardware platform and energy consumption evaluation using the MIRACL cryptographic library.

Main Results:

  • The proposed protocol effectively mitigates eavesdropping, stolen verifier, and ephemeral secret leakage attacks.
  • Formal verification confirms the protocol's security and untraceability guarantees.
  • Performance evaluation shows minimal computational overhead and communication costs compared to existing solutions.

Conclusions:

  • The developed PUF-based authentication protocol offers enhanced security and privacy for MIoT applications.
  • It provides a secure and robust architectural option for healthcare systems handling sensitive patient data.
  • The protocol is suitable for resource-constrained MIoT environments, balancing security with efficiency.