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Related Experiment Video

Updated: Nov 3, 2025

Molecular Spring Constant Analysis by Biomembrane Force Probe Spectroscopy
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Multiple Observations for Secret-Key Binding with SRAM PUFs.

Lieneke Kusters1, Frans M J Willems1

  • 1Information and Communication Theory Lab, Signal Processing Systems Group, Department of Electrical Engineering, Eindhoven University of Technology, 5600 MB Eindhoven, The Netherlands.

Entropy (Basel, Switzerland)
|June 2, 2021
PubMed
Summary
This summary is machine-generated.

A new Multiple-Observations (MO) helper data scheme for SRAM-PUF enhances secret-key binding by utilizing multiple observations, improving performance and achieving optimal secret-key capacity. This method implicitly models SRAM cell reliabilities for better security.

Keywords:
LDPC codePhysical Unclonable Functionshelper data schemesecret-key agreement

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Area of Science:

  • Hardware Security
  • Cryptography
  • Integrated Circuit Design

Background:

  • SRAM-PUFs (Static Random-Access Memory-Physical Unclonable Functions) are crucial for hardware security.
  • Traditional helper data schemes for SRAM-PUFs rely on single observations, limiting performance.
  • Modeling SRAM cell reliabilities is key to improving helper data schemes.

Purpose of the Study:

  • Introduce a novel Multiple-Observations (MO) helper data scheme for SRAM-PUFs.
  • Improve secret-key binding security and performance compared to existing methods.
  • Investigate optimal strategies for helper data generation and reconstruction.

Main Methods:

  • Developed a new MO helper data scheme using multiple SRAM-PUF enrollment observations.
  • Proved the scheme's optimality in achieving secret-key capacity.
  • Evaluated performance using Monte Carlo simulations with LDPC codes.
  • Proposed and analyzed a new strategy for the Soft-Decision (SD) scheme using binary observations.
  • Introduced a sequential update variation of the MO scheme.

Main Results:

  • The MO scheme significantly improves performance by implicitly modeling SRAM cell reliabilities.
  • The proposed SD scheme strategy achieves optimal performance using observable binary inputs.
  • The sequential update MO scheme variation demonstrates improved error-correction over time.
  • Both MO and the new SD strategy achieve optimal secret-key capacity.

Conclusions:

  • The new MO helper data scheme offers superior performance and optimal secret-key capacity for SRAM-PUFs.
  • The adapted SD scheme provides an effective alternative using readily available binary observations.
  • Sequential updating of helper data further enhances the robustness of SRAM-PUF based key binding.