A 0.116pJ/bit Latch-Based True Random Number Generator with Static Inverter Selection and Noise Enhancement

Xingyu Wang*, Ruilin Zhang, Yuxin Wang, Kunyang Liu, Xuanzhen Wang, Hirofumi Shinohara

*この研究の対応する著者

研究成果: Conference contribution

抄録

This paper presents a latch-based TRNG that achieves high raw entropy generation (>0.9) across wide voltage and temperature (0.31.0 V, -40110 °C) in a single latch-based entropy source by static inverter selection and noise enhancement techniques. In a 130 nm CMOS technology, the TRNG occupies 5343 μm2 and consumes 0.116pJ/bit at 0.3 V including an on-chip Von Neumann post-processing circuit. The crypto-graphically-secure randomness of TRNG's output is verified by NIST SP 800-22 and 800-90B tests. An equivalent 20-year life at 0.3 V, 25°C is confirmed by an accelerated aging test.

本文言語English
ホスト出版物のタイトル2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665409216
DOI
出版ステータスPublished - 2022
イベント2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Hsinchu, Taiwan, Province of China
継続期間: 2022 4月 182022 4月 21

出版物シリーズ

名前2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022 - Proceedings

Conference

Conference2022 International Symposium on VLSI Design, Automation and Test, VLSI-DAT 2022
国/地域Taiwan, Province of China
CityHsinchu
Period22/4/1822/4/21

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
  • 安全性、リスク、信頼性、品質管理

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