• DOI:10.1109/TDSC.2016.2536609
Corpus ID: 8170180

Trapdoor Computational Fuzzy Extractors and Stateless Cryptographically-Secure Physical Unclonable Functions

@article{Herder2017TrapdoorCF,
  title={Trapdoor Computational Fuzzy Extractors and Stateless Cryptographically-Secure Physical Unclonable Functions},
  author={Charles Herder and Ling Ren and Marten van Dijk and M. Yu and S. Devadas},
  journal={IEEE Transactions on Dependable and Secure Computing},
  year={2017},
  volume={14},
  pages={65-82}
}

Charles Herder, Ling Ren, +2 authors S. Devadas

Published 2017

Computer Science

IEEE Transactions on Dependable and Secure Computing

We present a fuzzy extractor whose security can be reduced to the hardness of Learning Parity with Noise (LPN) and can efficiently correct a constant fraction of errors in a biometric source with a “noise-avoiding trapdoor. [...] Key Method The construction is “stateless,” because there is no information stored between subsequent queries, which mitigates attacks against the PUF via tampering. Moreover, our stateless construction corresponds to a PUF whose outputs are free of noise because of internal error…Expand Abstract

View on IEEE

doi.org

Save to Library

Create Alert

Cite

Launch Research Feed