With the proliferation of physical attacks the implicit as-sumptions made in traditional security models no longer reflect the real
world. To address this issue, a number of new security models, e.g. Algo-rithmic Tamper-Proof Security, have been proposed. In this work, we take another step and identify the cryptographic properties of a particular family of physical functions, termed as Physically Unclonable Functions (PUFs), that exploit physical phenomena at deep-submicron and nano-scale level. PUFs provide low-cost tamper-evident and tamper-resiliant implementations. Motivated by this fact, we specifically describe a gen-
eral method for constructing Pseudorandom Functions (PRFs) from a class of PUFs. We provide a formal model for certain types of PUFs
that build the basis for PRFs, which we call PUF-PRFs. Furthermore, we show experimentally that some real world PUF instantiations (e.g.,
SRAM PUFs) satisfy the model. This strongly indicates that PUF-PRFs can indeed be physically realized.
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28th Annual International Conference on the Theory and Applications of Cryptographic Techniques
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