Debiasing of SRAM PUFs: selection and balancing

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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.

Original languageEnglish
Title of host publication2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Number of pages6
ISBN (Electronic)9781728132174
DOIs
Publication statusPublished - Dec 2019
Event2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019 - Delft, Netherlands
Duration: 9 Dec 201912 Dec 2019

Conference

Conference2019 IEEE International Workshop on Information Forensics and Security, WIFS 2019
CountryNetherlands
CityDelft
Period9/12/1912/12/19

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