The extraction of a stable signal from noisy data is very useful in applications that aim to combine it with a cryptographic key. An approach based on an error correcting code was proposed by Dodis et al., which is known as a fuzzy extractor. Physical unclonable functions (PUFs) generate device-specific data streams, although PUFs are noisy functions. In this paper, we describe a method for preparing a PUF key during fuzzy extractor implementation. The experimental results showed that all possible combinations of input message length and the number of correctable errors were tested for a BCH code with codeword length N, which was the length of the PUF responses. © Springer-Verlag Berlin Heidelberg 2014.
CITATION STYLE
Kang, H., Hori, Y., Katashita, T., Hagiwara, M., & Iwamura, K. (2014). Performance analysis for PUF data using fuzzy extractor. In Lecture Notes in Electrical Engineering (Vol. 280 LNEE, pp. 277–284). Springer Verlag. https://doi.org/10.1007/978-3-642-41671-2_36
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