Statistical Modeling of SRAM PUF Cell Mismatch Shift Distribution after Hot Carrier Injection Burn-In

Kunyang Liu, Kiyoshi Takeuchi, Hirofumi Shinohara

研究成果: Conference contribution

2 被引用数 (Scopus)

抄録

This article presents statistical modeling for bitcell mismatch shift with respect to hot carrier injection (HCI) burn-in on a static random access memory (SRAM)-based physically unclonable function (PUF). A compound distribution based on a Poisson distribution and a Gamma distribution is used to model the mismatch shift. The Poisson distribution models the number of injected hot carriers, and the Gamma distribution models the mismatch shift value induced by a certain number of injected hot carriers. This model is evaluated by testing chips fabricated in a 130-nm CMOS process. Experimental results collected from 2-min to 8-min HCI burn-in match the model well. Results also show that the number of injected hot carriers has a linear relation with the burn-in time to the power 0.6.

本文言語English
ホスト出版物のタイトル2022 IEEE 34th International Conference on Microelectronic Test Structures, ICMTS 2022 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9781665485661
DOI
出版ステータスPublished - 2022
イベント34th IEEE International Conference on Microelectronic Test Structures, ICMTS 2022 - Cleveland, United States
継続期間: 2022 3月 212022 4月 15

出版物シリーズ

名前IEEE International Conference on Microelectronic Test Structures
2022-March

Conference

Conference34th IEEE International Conference on Microelectronic Test Structures, ICMTS 2022
国/地域United States
CityCleveland
Period22/3/2122/4/15

ASJC Scopus subject areas

  • 電子工学および電気工学

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