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Reconfigurable Physical Unclonable Functions Based on Magnetic Domain Patterns.

Bin He1, Caihua Wan2, Senfu Zhang3

  • 1Physical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Saudi Arabia.

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|December 10, 2025
PubMed
Summary
This summary is machine-generated.

This study introduces a novel magnetic thin film physical unclonable function (PUF) for secure Internet of Things (IoT) authentication. The reconfigurable PUF offers high performance and cost-effectiveness for embedded systems.

Keywords:
data securitylabyrinth domainphysical unclonable functionspintronicstrue random number

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Area of Science:

  • Materials Science
  • Cybersecurity
  • Electrical Engineering

Background:

  • The increasing prevalence of Internet of Things (IoT) devices necessitates robust security solutions for authentication, data security, and privacy.
  • Physical Unclonable Functions (PUFs) offer a promising approach by utilizing unique physical properties for device identification and anti-cloning.
  • Existing silicon-based PUFs face challenges in cost-effectiveness and practicality for resource-constrained embedded systems.

Purpose of the Study:

  • To develop a novel, reconfigurable physical unclonable function (PUF) for secure device authentication in IoT systems.
  • To leverage spontaneously formed labyrinth domain patterns in magnetic thin films as a high-entropy source for PUF generation.
  • To demonstrate a practical and cost-effective PUF solution for resource-constrained embedded systems.

Main Methods:

  • Utilized spontaneously formed labyrinth domain patterns in magnetic thin films as the entropy source for the PUF.
  • Evaluated PUF performance based on key metrics: uniqueness, uniformity, bit-aliasing, and robustness.
  • Demonstrated electrical readout of PUF signals using magnetic tunnel junctions (MTJs).
  • Proposed an integration architecture for the magnetic PUF system with silicon-based circuits.

Main Results:

  • The developed magnetic PUFs exhibited nearly ideal performance in uniqueness, uniformity, bit-aliasing, and robustness.
  • The PUFs showed high indivisibility in linear feature spaces and resilience against machine learning-based attacks.
  • Successful electrical readout of domain-based PUF signals was achieved using MTJs.
  • A viable integration architecture for silicon-based circuits was proposed.

Conclusions:

  • The proposed reconfigurable magnetic PUF system offers a practical, cost-effective, and innovative solution for secure device identification and anti-counterfeiting.
  • This approach addresses the limitations of current PUF technologies for resource-constrained embedded systems.
  • The magnetic domain-based PUF demonstrates significant potential for enhancing IoT security and device authenticity.