Security of helper data Schemes for SRAM-PUF in multiple enrollment scenarios

C.J. Kusters, T. Ignatenko, Roel Maes, E. van der Sluis, G. Selimis, F.M.J. Willems

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

14 Citations (Scopus)

Abstract

Fuzzy commitment and syndrome-based schemes are two well-known helper data schemes used to bind and generate, respectively, a secret key to/from SRAM-PUF observations. To allow the decoder to reconstruct this secret key from a new (verification) observation of an SRAM-PUF, an encoder has to generate so-called helper data. This helper data is a function of an SRAM-PUF enrollment observation and, in case of fuzzy commitment, the secret key. The helper data is assumed to be public and thus must leak no information about the secret key. It is known that both schemes can achieve secrecy capacity equal to the mutual information between enrollment and verification SRAM-PUF observations at zero secrecy leakage, when the observations are unbiased and a single enrollment is performed. We study here the situation when multiple SRAM-PUF observations are used to create multiple secret keys. First, we introduce a symmetry property for multiple SRAM-PUF observations. For such symmetric SRAM-PUFs, we show that, in both helper data schemes, the helper data corresponding to multiple SRAM-PUF observations provide no information about any of the secret keys.
Original languageEnglish
Title of host publicationProceedings of the 2017 IEEE International Symposium on Information Theory (ISIT), 25-30 June 2017, Aachen, Germany
Place of PublicationPiscataway
PublisherInstitute of Electrical and Electronics Engineers
Pages1803-1807
Number of pages5
ISBN (Electronic)978-1-5090-4096-4
ISBN (Print)978-1-5090-4097-1
DOIs
Publication statusPublished - 2017
Event2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany
Duration: 25 Jun 201730 Jun 2017

Conference

Conference2017 IEEE International Symposium on Information Theory, ISIT 2017
Abbreviated titleISIT
Country/TerritoryGermany
CityAachen
Period25/06/1730/06/17

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