Optimized quantization in Zero Leakage Helper data systems

T. Stanko, F.N. Andini, B. Skoric

Research output: Contribution to journalArticleAcademicpeer-review

9 Citations (Scopus)
53 Downloads (Pure)


Helper data systems are a cryptographic primitive that allows for the reproducible extraction of secrets from noisy measurements. Redundancy data called helper data makes it possible to do error correction while leaking little or nothing (Zero Leakage) about the extracted secret string. We study the case of non-discrete measurement outcomes. In this case, a quantization step is required. Recently, de Groot et al. described a generic method to perform the quantization in a Zero Leakage manner. We extend their work and show how the quantization intervals should be set to maximize the amount of extracted secret key material when noise is taken into account.
Original languageEnglish
Article number7911193
Pages (from-to)1957-1966
Number of pages10
JournalIEEE Transactions on Information Forensics and Security
Issue number8
Publication statusPublished - 1 Aug 2017


  • Helper data
  • fuzzy extractor
  • secure sketch
  • PUF
  • biometrics


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