Performance analysis for PUF data using fuzzy extractor

Hyunho Kang, Yohei Hori, Toshihiro Katashita, Manabu Hagiwara, Keiichi Iwamura

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Citations (Scopus)

Abstract

The extraction of a stable signal from noisy data is very useful in applications that aim to combine it with a cryptographic key. An approach based on an error correcting code was proposed by Dodis et al., which is known as a fuzzy extractor. Physical unclonable functions (PUFs) generate device-specific data streams, although PUFs are noisy functions. In this paper, we describe a method for preparing a PUF key during fuzzy extractor implementation. The experimental results showed that all possible combinations of input message length and the number of correctable errors were tested for a BCH code with codeword length N, which was the length of the PUF responses.

Original languageEnglish
Title of host publicationUbiquitous Information Technologies and Applications, CUTE 2013
PublisherSpringer Verlag
Pages277-284
Number of pages8
ISBN (Print)9783642416705
DOIs
Publication statusPublished - 1 Jan 2014
Event8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013 - Danang, Viet Nam
Duration: 18 Dec 201320 Dec 2013

Publication series

NameLecture Notes in Electrical Engineering
Volume280 LNEE
ISSN (Print)1876-1100
ISSN (Electronic)1876-1119

Conference

Conference8th International Conference on Ubiquitous Information Technologies and Applications, CUTE 2013
CountryViet Nam
CityDanang
Period18/12/1320/12/13

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Keywords

  • Arbiter PUF
  • Fuzzy Extractor
  • Physical Unclonable Function (PUF)

Cite this

Kang, H., Hori, Y., Katashita, T., Hagiwara, M., & Iwamura, K. (2014). Performance analysis for PUF data using fuzzy extractor. In Ubiquitous Information Technologies and Applications, CUTE 2013 (pp. 277-284). (Lecture Notes in Electrical Engineering; Vol. 280 LNEE). Springer Verlag. https://doi.org/10.1007/978-3-642-41671-2_36