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Related Concept Videos

Non-ohmic Devices00:51

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In most substances, the current flow is proportional to the voltage applied to it. A simple relationship between the values of current, voltage, and resistance is known as Ohm's law. Nonohmic devices do not exhibit a linear relationship between voltage and current. One such device is the semiconducting circuit element known as a diode. A diode is a circuit device that allows current flow in only one direction.
Consider a simple circuit consisting of a battery, a diode, and a resistor. A...
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Exploring the Inherent Variability of Economically Fabricated ZnO Devices Towards Physical Unclonable Functions for

Savvas Ermeidis1, Dimitrios Tassis1, George P Papageorgiou2

  • 1Department of Condensed Matter and Materials Physics, School of Physics, Aristotle University of Thessaloniki, 541 24 Thessaloniki, Greece.

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Summary

Chemically synthesized zinc oxide (ZnO) nanostructures offer a scalable solution for secure authentication in IoT and Industry 4.0. These novel physical unclonable functions (PUFs) provide enhanced security, lower costs, and greater sustainability than commercial alternatives.

Keywords:
Li dopingZnO nanostructuresauthentication elementshomojunctionshydrothermal growthphotodiodesphysical unclonable functions (PUFs)

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Area of Science:

  • Materials Science
  • Electrical Engineering
  • Nanotechnology

Background:

  • The increasing demand for secure authentication in the Internet of Things (IoT) and Industry 4.0 necessitates advanced solutions.
  • Traditional security methods face challenges in scalability, cost, and environmental impact.

Purpose of the Study:

  • To develop and characterize chemically synthesized ZnO nanostructured homojunctions as physical unclonable functions (PUFs).
  • To leverage intrinsic material variability for robust and unique device fingerprints.
  • To establish a sustainable and cost-effective platform for secure digital identity.

Main Methods:

  • Hydrothermal synthesis of Li-doped ZnO nanostructures.
  • Systematic identification and analysis of electrical parameters for PUF applications.
  • Implementation of multi-level quantization for enhanced accuracy and entropy.
  • Rigorous parameter optimization focusing on variability, stability, and inter-correlation.

Main Results:

  • ZnO nanostructured homojunctions demonstrate superior variability, stability, and reproducibility compared to commercial diodes.
  • Multiple electrical parameters (8-10) per device were extracted, offering richer diversity than single-bit outputs.
  • Demonstrated normal distribution of challenge parameters supporting novel authentication methods.
  • Achieved enhanced accuracy and entropy through multi-level quantization.

Conclusions:

  • Chemically synthesized ZnO nanostructured homojunctions are a powerful, scalable, and eco-friendly platform for PUFs.
  • These devices offer a promising low-cost, high-security solution for digital identity systems.
  • The developed approach provides a dynamic and future-proof alternative to existing authentication technologies.