Multiple-Valued Debiasing for Physically Unclonable Functions and Its Application to Fuzzy Extractors

  • Manami Suzuki
  • Rei Ueno
  • Naofumi Homma
  • Takafumi Aoki
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10348)


This paper proposes a new debiasing method for a stable and efficient extraction of uniform random binary responses from physically unclonable functions (PUFs). The proposed method handles multiple-valued (i.e., ternary) responses from PUF responses, including unstable response bits, and stably extracts uniform random-bit responses from them. In this paper, we evaluate the stability and effectiveness of the proposed method with two experiments with simulated and actual responses of latch PUFs implemented on an FPGA. We demonstrate that the proposed method can obtain longer debiased random-bit responses than the conventional method. In addition, we apply the proposed method to the construction of a fuzzy extractor (FE), and show the advantages of the proposed FE in terms of response length and authentication success rate in an experimental evaluation.


PUF Fuzzy extractors Latch PUF Debiasing Multiple-valued logic 



This work has been supported by JSPS KAKENHI Grants No. 16K12436 and No. 16J05711.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  • Manami Suzuki
    • 1
  • Rei Ueno
    • 1
  • Naofumi Homma
    • 1
  • Takafumi Aoki
    • 1
  1. 1.Tohoku UniversityAoba-ku, Sendai-shiJapan

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