A 2.17-pJ/b 5b-Response Attack-Resistant Strong PUF with Enhanced Statistical Performance

Kunyang Liu, Gen Li, Zihan Fu, Xuanzhen Wang, Hirofumi Shinohara

研究成果: Conference contribution

3 被引用数 (Scopus)

抄録

This article presents a Strong physically unclonable function (PUF) with a 5-bit response output, which alleviates the critical issue of huge challenge-response pair (CRP) consumption for one authentication. Attack resistance is enhanced not only by improving the substitution-permutation network (SPN) using variable secret look-up tables (LUTs) and a complex permutation XOR box but also by mitigating LUT data collision and coupling Strong PUF functions between adjacent operation rounds to protect an individual round from attack. As a result, response bitstreams pass all NIST SP800-22 randomness tests even using highly correlated challenge inputs, and mainstream modeling attacks with up to 200-Mb training samples cannot achieve higher accuracy than random guess. An automatic data write-back circuit allows the PUF to be fully stabilized by hot carrier injection (HCI) burn-in without exposing sensitive LUT data. The architecture realizes a 1-cycle/round operation and results in 2.17 pJ/b energy and 0.625 bit/cycle throughput.

本文言語English
ホスト出版物のタイトルESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ513-516
ページ数4
ISBN(電子版)9781665484947
DOI
出版ステータスPublished - 2022
イベント48th IEEE European Solid State Circuits Conference, ESSCIRC 2022 - Milan, Italy
継続期間: 2022 9月 192022 9月 22

出版物シリーズ

名前ESSCIRC 2022 - IEEE 48th European Solid State Circuits Conference, Proceedings

Conference

Conference48th IEEE European Solid State Circuits Conference, ESSCIRC 2022
国/地域Italy
CityMilan
Period22/9/1922/9/22

ASJC Scopus subject areas

  • ハードウェアとアーキテクチャ
  • 電子工学および電気工学
  • 電子材料、光学材料、および磁性材料
  • 器械工学
  • 人工知能

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