Debiasing of SRAM PUFs: selection and balancing

Lieneke Kusters; Frans M.J. Willems

doi:10.1109/WIFS47025.2019.9035094

Debiasing of SRAM PUFs: selection and balancing

Lieneke Kusters, Frans M.J. Willems

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/Congresprocedure › Conferentiebijdrage › Academic › peer review

2 Citaten (Scopus)

Samenvatting

Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing. We study the performance of the schemes from an information theoretic perspective.

Originele taal-2	Engels
Titel	2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019
Plaats van productie	Piscataway
Uitgeverij	Institute of Electrical and Electronics Engineers
Aantal pagina's	6
ISBN van elektronische versie	9781728132174
DOI's	https://doi.org/10.1109/WIFS47025.2019.9035094
Status	Gepubliceerd - dec. 2019
Evenement	2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019 - Delft, Nederland Duur: 9 dec. 2019 → 12 dec. 2019

Congres

Congres	2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019
Land/Regio	Nederland
Stad	Delft
Periode	9/12/19 → 12/12/19

Toegang tot document

10.1109/WIFS47025.2019.9035094

Andere bestanden en links

Link to publication in Scopus

Citeer dit

@inproceedings{e153aec1dbc84a82992bb83cb1567c39,

title = "Debiasing of SRAM PUFs: selection and balancing",

abstract = "Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing. We study the performance of the schemes from an information theoretic perspective.",

author = "Lieneke Kusters and Willems, {Frans M.J.}",

year = "2019",

month = dec,

doi = "10.1109/WIFS47025.2019.9035094",

language = "English",

booktitle = "2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019",

publisher = "Institute of Electrical and Electronics Engineers",

address = "United States",

note = "2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019 ; Conference date: 09-12-2019 Through 12-12-2019",

}

Kusters, L & Willems, FMJ 2019, Debiasing of SRAM PUFs: selection and balancing. in 2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019., 9035094, Institute of Electrical and Electronics Engineers, Piscataway, 2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019, Delft, Nederland, 9/12/19. https://doi.org/10.1109/WIFS47025.2019.9035094

TY - GEN

T1 - Debiasing of SRAM PUFs

T2 - 2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019

AU - Kusters, Lieneke

AU - Willems, Frans M.J.

PY - 2019/12

Y1 - 2019/12

N2 - Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing. We study the performance of the schemes from an information theoretic perspective.

AB - Fuzzy commitment is used to bind a secret key to an SRAM-PUF observation vector. The fuzzy commitment scheme is secure as long as the observation vector has full entropy. Here, we assume that the observation vectors are biased, and explore two elementary schemes for debiasing: Selection and balancing. We study the performance of the schemes from an information theoretic perspective.

UR - http://www.scopus.com/inward/record.url?scp=85083025655&partnerID=8YFLogxK

U2 - 10.1109/WIFS47025.2019.9035094

DO - 10.1109/WIFS47025.2019.9035094

M3 - Conference contribution

BT - 2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019

PB - Institute of Electrical and Electronics Engineers

CY - Piscataway

Y2 - 9 December 2019 through 12 December 2019

ER -

Debiasing of SRAM PUFs: selection and balancing

Samenvatting

Congres

Toegang tot document

Andere bestanden en links

Vingerafdruk

Citeer dit