Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorGu, Chongyanen_US
dc.contributor.authorChang, Chip-Hongen_US
dc.contributor.authorLiu, Weiqiangen_US
dc.contributor.authorHanley, Neilen_US
dc.contributor.authorMiskelly, Jacken_US
dc.contributor.authorO’Neill, Máireen_US
dc.identifier.citationGu, C., Chang, C.-H., Liu, W., Hanley, N., Miskelly, J., & O’Neill, M. (2020). A large-scale comprehensive evaluation of single-slice ring oscillator and PicoPUF bit cells on 28-nm Xilinx FPGAs. Journal of Cryptographic Engineering, 142. doi:10.1007/s13389-020-00244-5en_US
dc.description.abstractLightweight implementation of security primitives, e.g., physical unclonable functions (PUFs) and true random number generator, in field programmable gate array (FPGA) is crucial replacement of the conventional decryption key stored in battery-backed random access memory or E-Fuses for the protection of field reconfigurable assets. A slice is the smallest reconfigurable logic block in an Xilinx FPGA. The entropy exploitable from each slice of an FPGA is an important factor for the design of security primitives. Previous research has shown that the locations of slices can impact the quality of delay-based PUF designs implemented on FPGAs. To investigate the effect of the placement of each single-bit PUF cell free from the routing resource constraint between slices, single-bit ring oscillator (RO) and identity-based PUF design (Pi-coPUF) cells that can each be fully fitted into a single slice are evaluated. To accurately evaluate their statistical performance, data from a large number of devices are required. To this end, 217 Xilinx Artix-7 FPGAs has been employed to provide a large-scale comprehensive analysis for the two designs. This is the first time single-slice disorder-based security entities have been investigated and compared on 28-nm Xilinx FPGA. Uniqueness, uniformity, correlation, reliability, bit-aliasing and inentropy of each type of cell are evaluated for four different types of cell placement. Our experimental results corroborate that the location of both cell types in the FPGA affects their performances. For both cell types, the lower the correlation between devices, the higher the min-entropy and uniqueness. Overall, the min-entropy, correlation and uniqueness of PicoPUF are slightly higher than those of RO. Otherwise, the uniformity, bit-aliasing and reliability of the PicoPUF are slightly lower than those of the RO. Comparing the resource usage and metrics of the PicoPUF, ring oscillator PUF and some existing memory-based PUF implementations, PicoPUF stands out as a lightweight FPGA-based weak PUF design. The raw data for the PicoPUF design are made publicly available to enable the research community to use them for benchmarking and/or validation.en_US
dc.description.sponsorshipMinistry of Education (MOE)en_US
dc.relationMOE2018-T1-001-131 (RG87/18)en_US
dc.relation.ispartofJournal of Cryptographic Engineeringen_US
dc.rights© 2020 The Author(s) (published by Journal of Cryptographic Engineering). This is an open-access article distributed under the terms of the Creative Commons Attribution License.en_US
dc.subjectEngineering::Electrical and electronic engineeringen_US
dc.titleA large-scale comprehensive evaluation of single-slice ring oscillator and PicoPUF bit cells on 28-nm Xilinx FPGAsen_US
dc.typeJournal Articleen
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.contributor.researchCentre for Integrated Circuits and Systemsen_US
dc.description.versionPublished versionen_US
dc.subject.keywordsSingle Sliceen_US
dc.description.acknowledgementThis work is supported by grants from the Engineering and Physical Sciences Research Council (EPSRC) (EP/N508664/- CSIT2), the Singapore Ministry of Education AcRF Tier 1 Grant No. 2018-T1-001-131, the National Natural Science Foundation of China (62022041 and 61871216), the Fundamental Research Funds for the Central Universities China (NE2019102) and the Six Talent Peaks Project in Jiangsu Province (2018XYDXX-009).en_US
item.fulltextWith Fulltext-
Appears in Collections:EEE Journal Articles
Files in This Item:
File Description SizeFormat 
Gu2020_Article_ALarge-scaleComprehensiveEvalu.pdf2.84 MBAdobe PDFThumbnail

Citations 50

Updated on Mar 28, 2023

Web of ScienceTM
Citations 20

Updated on Mar 23, 2023

Page view(s)

Updated on Mar 29, 2023

Download(s) 50

Updated on Mar 29, 2023

Google ScholarTM




Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.