UM
A 0.04% BER Strong PUF with Cell-Bias-Based CRPs Filtering and Background Offset Calibration
Liu,Jiahao1; Zhu,Yan1; Chan,Chi Hang1; Martins,Rui Paulo1,2,3
2020-11-01
Source PublicationIEEE Transactions on Circuits and Systems I: Regular Papers
ISSN1549-8328
Volume67Issue:11Pages:3853-3865
AbstractThis paper presents a low bit error rate (BER) strong PUF based on the dynamically amplified subthreshold current array (DA-SCA) with cell-bias-based challenge-response-pairs (CRPs) filtering method. The highly nonlinear subthreshold characteristic of the DA-SCA ensures a strong resilience to machine learning (ML) attacks and it simultaneously achieves low power and compact area. The current difference of two SCAs originated by the manufacturing process is amplified and converted into a voltage difference which is further digitized by the background offset-calibrated oscillator collapse-based comparator. Fabricated in 65 nm CMOS LP technology, the 64-bit DA-SCA PUF shows an average BER of 4.7% in the worst case for the temperature range of-20 to 80° and a supply variation of ±10%. Moreover, the proposed cell-bias-based CRPs filtering method dramatically suppresses the BER to 0.04% while discarding only 9.5% CRPs. The power consumption of the proposed PUF is merely 2.4μW at 125 Kb/s and it occupies 0.024 mm2, including the on-chip calibration circuit. The proposed PUF demonstrates resistance against machine learning (ML) attacks across 100K training samples, limiting the prediction accuracy to 50%.
Keywordauthentication hardware security Internet of Things low power machine learning attacks Physical unclonable function (PUF)
DOI10.1109/TCSI.2020.3008683
URLView the original
Language英语
Fulltext Access
Citation statistics
Cited Times [WOS]:0   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
Affiliation1.State Key Laboratory of Analog and Mixed-Signal,VLSI,University of Macau,Taipa,Macao
2.Department of Electrical and Computer Engineering,Faculty of Science and Technology,University of Macau,Taipa,Macao
3.Instituto Superior Técnico,Universidade de Lisboa,Lisbon,999078,Portugal
First Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Liu,Jiahao,Zhu,Yan,Chan,Chi Hang,et al. A 0.04% BER Strong PUF with Cell-Bias-Based CRPs Filtering and Background Offset Calibration[J]. IEEE Transactions on Circuits and Systems I: Regular Papers,2020,67(11):3853-3865.
APA Liu,Jiahao,Zhu,Yan,Chan,Chi Hang,&Martins,Rui Paulo.(2020).A 0.04% BER Strong PUF with Cell-Bias-Based CRPs Filtering and Background Offset Calibration.IEEE Transactions on Circuits and Systems I: Regular Papers,67(11),3853-3865.
MLA Liu,Jiahao,et al."A 0.04% BER Strong PUF with Cell-Bias-Based CRPs Filtering and Background Offset Calibration".IEEE Transactions on Circuits and Systems I: Regular Papers 67.11(2020):3853-3865.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Liu,Jiahao]'s Articles
[Zhu,Yan]'s Articles
[Chan,Chi Hang]'s Articles
Baidu academic
Similar articles in Baidu academic
[Liu,Jiahao]'s Articles
[Zhu,Yan]'s Articles
[Chan,Chi Hang]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Liu,Jiahao]'s Articles
[Zhu,Yan]'s Articles
[Chan,Chi Hang]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.