Corpus ID: 14156919

Trapdoor Computational Fuzzy Extractors

@article{Herder2014TrapdoorCF,
  title={Trapdoor Computational Fuzzy Extractors},
  author={Charles Herder and Ling Ren and Marten van Dijk and M. Yu and S. Devadas},
  journal={IACR Cryptol. ePrint Arch.},
  year={2014},
  volume={2014},
  pages={938}
}
  • Charles Herder, Ling Ren, +2 authors S. Devadas
  • Published 2014
  • Computer Science
  • IACR Cryptol. ePrint Arch.
    • We describe a method of cryptographically-secure key extraction from a noisy biometric source. The computational security of our method can be clearly argued through hardness of Learning Parity With Noise (LPN). We use a fuzzy commitment scheme so the extracted key is chosen by definition to have uniformly random bits. The biometric source is used as the noise term in the LPN problem. A key idea in our construction is to use additional ‘confidence’ information produced by the source for… CONTINUE READING
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