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Optical nano artifact metrics using silicon random nanostructures.

Tsutomu Matsumoto1,2, Naoki Yoshida1, Shumpei Nishio3

  • 1Graduate School of Environment and Information Sciences, Yokohama National University, 79-7 Tokiwadai, Hodogaya, Yokohama, Kanagawa 240-8501, Japan.

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Summary

This study introduces a low-cost optical method for authenticating silicon nanostructures, crucial for Internet-of-Things security. The technique uses confocal laser microscopy to detect unique nanoscale signatures, enabling clone resistance for secure devices.

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Area of Science:

  • Materials Science
  • Optical Physics
  • Information Security

Background:

  • Nano-artifact metrics are vital for securing Internet-of-Things (IoT) devices against counterfeiting.
  • Traditional methods for nano-artifact characterization require expensive and bulky equipment like scanning electron microscopy.
  • There is a need for cost-effective and accessible technologies for nano-authentication.

Purpose of the Study:

  • To develop a low-cost optical approach for characterizing silicon nanostructures for information security.
  • To demonstrate the feasibility of using confocal laser microscopy for nano-artifact metrics.
  • To validate the effectiveness of optical characterization in distinguishing genuine devices from clones.

Main Methods:

  • Generating unique silicon nanostructures using resist collapse phenomena, creating features below the diffraction limit of light.
  • Utilizing confocal laser microscopy to measure the height dimension of nanostructures with nanoscale precision.
  • Fabricating clone devices from genuine samples using advanced nanostructuring technology.
  • Analyzing statistical properties of genuine and clone devices to assess authentication capabilities.

Main Results:

  • An optical method was successfully demonstrated for characterizing nanoscale-precision signatures in silicon random structures.
  • Vertical precision in confocal laser microscopy measurements was found to be essential for effective artifact metrics.
  • The statistical properties of genuine and clone devices were distinguishable, validating the approach.
  • A liveness-detection-type approach, similar to biometrics, was proven effective for solid-state nanostructures.

Conclusions:

  • The developed optical approach offers a low-cost, high-value solution for information security based on silicon nanostructures.
  • Confocal laser microscopy provides the necessary nanoscale precision for effective nano-artifact metrics.
  • This technology enables robust clone resistance and authentication for IoT devices and other applications.
  • The findings pave the way for novel, secure information principles leveraging silicon nanostructures and optical technologies.