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A PUF-Based Key Storage Scheme Using Fuzzy Vault.

Jinrong Yang1, Shuai Chen2, Yuan Cao3

  • 1School of Computer Science and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China.

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|April 13, 2023
PubMed
Summary
This summary is machine-generated.

This study introduces a novel Fuzzy Vault method using Physical Unclonable Functions (PUFs) to directly store data, bypassing traditional encryption. This approach achieves a 100% unlocking rate with fast processing times.

Keywords:
Physical Unclonable Functionserror-tolerantfuzzy pattern

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Area of Science:

  • Hardware security
  • Applied cryptography
  • Information theory

Background:

  • Physical Unclonable Functions (PUFs) offer low-cost security anchors for key generation.
  • Traditional schemes use helper data algorithms to stabilize PUF responses for key extraction.
  • Existing methods require separate encryption for secret data storage.

Purpose of the Study:

  • To propose a novel method for direct secret data storage using PUF responses.
  • To leverage error-tolerant Fuzzy Vault algorithms with both weak and strong PUFs.
  • To explore new applications for strong PUFs beyond traditional key generation.

Main Methods:

  • Implemented an error-tolerant Fuzzy Vault algorithm directly on PUF fuzzy responses.
  • Developed distinct locking and unlocking mechanisms tailored for weak and strong PUFs.
  • Evaluated performance on existing weak and strong PUF designs, testing parameters and environments.

Main Results:

  • Achieved a 100% unlocking rate through parameter adjustment.
  • Demonstrated locking times under 1 second and unlocking times of a few seconds.
  • Validated the approach on both weak and strong PUF architectures.

Conclusions:

  • Fuzzy Vault with PUF responses provides a viable alternative to traditional encryption for secure data storage.
  • The proposed method efficiently utilizes the unique properties of both weak and strong PUFs.
  • The study highlights a new direction for leveraging PUFs in practical security applications, balancing security, reliability, and overhead.