We propose the first reusable fuzzy extractor (rFE) scheme from isogeny. Our rFE scheme supports linear fraction of errors. The reusability is based on the weak pseudorandomness of CSI-FiSh (Beullens et al., Asiacrypt 2019) in the standard model, and allows multiple extractions from the fuzzy source, which admits many applications of rFE with the same source.

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Reusable Fuzzy Extractor from Isogeny

  • Yu Zhou,
  • Shengli Liu,
  • Shuai Han

摘要

We propose the first reusable fuzzy extractor (rFE) scheme from isogeny. Our rFE scheme supports linear fraction of errors. The reusability is based on the weak pseudorandomness of CSI-FiSh (Beullens et al., Asiacrypt 2019) in the standard model, and allows multiple extractions from the fuzzy source, which admits many applications of rFE with the same source.