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Robust and Efficient Authentication and Group-Proof Scheme Using Physical Unclonable Functions for Wearable

Sungjin Yu1,2, Youngho Park2

  • 1Electronics and Telecommunications Research Institute, Daejeon 34129, Republic of Korea.

Sensors (Basel, Switzerland)
|July 8, 2023
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Summary
This summary is machine-generated.

This study introduces AGPS-PUFs, an efficient authentication scheme for wearable computing. It enhances security against cyber and physical threats while being cost-effective for resource-constrained devices.

Keywords:
authenticationgroup proofphysical unclonable function (PUF)privacy-preservingwearable computing

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Embedded Systems

Background:

  • Wearable computing offers automatic human action recognition but faces cybersecurity vulnerabilities.
  • Insecure channels and unattended devices expose wearable sensors to cyber and physical threats.
  • Existing authentication schemes are inefficient for resource-constrained wearable devices.

Purpose of the Study:

  • To design an efficient and robust authentication and group-proof scheme for wearable computing.
  • To address the limitations of existing schemes regarding communication and computational costs.
  • To enhance security against cyber and physical threats in wearable environments.

Main Methods:

  • Developed the Authentication and Group-Proof Scheme using Physical Unclonable Functions (AGPS-PUFs).
  • Conducted formal security analysis using the ROR Oracle model and AVISPA.
  • Performed testbed experiments using MIRACL on Raspberry PI4 for performance evaluation.

Main Results:

  • The AGPS-PUF scheme provides high security and cost-effective efficiency.
  • Formal security analysis confirmed the robustness of the AGPS-PUF scheme.
  • Comparative analysis showed superior security and efficiency compared to existing schemes.

Conclusions:

  • The AGPS-PUF scheme offers a practical solution for secure wearable computing.
  • It effectively mitigates cyber and physical security risks in wearable sensor networks.
  • The scheme is suitable for resource-constrained wearable devices and practical applications.