An Inverter-Based True Random Number Generator with 4-bit Von-Neumann Post-Processing Circuit

Xingyu Wang, Hongjie Liu, Ruilin Zhang, Kunyang Liu, Hirofumi Shinohara

研究成果: Conference contribution

1 被引用数 (Scopus)

抄録

This paper proposes a small-area low-power inverter-based true random number generator (I-TRNG) which harvests entropy from thermal noise. A single CMOS inverter is used for noise amplification. Clock-feedthrough (CLFT) compensation and body-bias technique provide robustness across a wide range of supply voltage 0.7~1.0 V and temperature -40~100 °C. An on-chip 4-bit Von-Neumann post-processing circuit is implemented for maximum entropy harvesting. I-TRNG is fabricated in 130-nm CMOS technology. It occupies 1495 µm2 (0.08846 MF2) and consumes 0.6585 pJ/bit with a throughput of 0.4456 Mbps (0.1308 Mbits/µW). The random bits generated by I- TRNG pass all FIPS 140-2 and NIST 800-22 tests.

本文言語English
ホスト出版物のタイトル2020 IEEE 63rd International Midwest Symposium on Circuits and Systems, MWSCAS 2020 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ページ285-288
ページ数4
ISBN(電子版)9781538629161
DOI
出版ステータスPublished - 2020 8
イベント63rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2020 - Springfield, United States
継続期間: 2020 8 92020 8 12

出版物シリーズ

名前Midwest Symposium on Circuits and Systems
2020-August
ISSN(印刷版)1548-3746

Conference

Conference63rd IEEE International Midwest Symposium on Circuits and Systems, MWSCAS 2020
国/地域United States
CitySpringfield
Period20/8/920/8/12

ASJC Scopus subject areas

  • 電子材料、光学材料、および磁性材料
  • 電子工学および電気工学

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