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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.
|Title of host publication||Proceedings of the 2017 IEEE International Symposium on Information Theory (ISIT), 25-30 June 2017, Aachen, Germany|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Number of pages||5|
|Publication status||Published - 2017|
|Event||2017 IEEE International Symposium on Information Theory, ISIT 2017 - Aachen, Germany|
Duration: 25 Jun 2017 → 30 Jun 2017
|Conference||2017 IEEE International Symposium on Information Theory, ISIT 2017|
|Period||25/06/17 → 30/06/17|
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- 1 Finished
1/10/15 → 30/09/17
Project: Research direct