Multiple-valued debiasing for physically unclonable functions and its application to fuzzy extractors

研究成果: Conference contribution

6 被引用数 (Scopus)

抄録

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.

本文言語English
ホスト出版物のタイトルConstructive Side-Channel Analysis and Secure Design - 8th International Workshop, COSADE 2017, Revised Selected Papers
編集者Sylvain Guilley
出版社Springer Verlag
ページ248-263
ページ数16
ISBN(印刷版)9783319646466
DOI
出版ステータスPublished - 2017
イベント8th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2017 - Paris, France
継続期間: 2017 4 132017 4 14

出版物シリーズ

名前Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
10348 LNCS
ISSN(印刷版)0302-9743
ISSN(電子版)1611-3349

Other

Other8th International Workshop on Constructive Side-Channel Analysis and Secure Design, COSADE 2017
国/地域France
CityParis
Period17/4/1317/4/14

ASJC Scopus subject areas

  • 理論的コンピュータサイエンス
  • コンピュータ サイエンス(全般)

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