A Dynamically Configurable PUF and Dynamic Matching Authentication Protocol

A physical unclonable function (PUF) is a hardware security primitive, which can be used secure various hardware-based applications. As type of PUFs, strong PUFs have large number challenge-response pairs (CRPs), for authentication. At present, most PUF structures follow one-to-one input/output relationship, i.e. linear function. such, designs are vulnerable to machine learning (ML) based modeling attacks. To address the issue, dynamically configurable structure proposed in this paper. mathematical model dynamic presented and design against effective ML attacks, such as deep neural network (DNN), logistic regression (LR) reliability-based covariance matrix adaptation evolution strategies (CMA-ES). Experimental results on field programmable gate arrays (FPGAs) show that has achived good uniqueness reliability. It also shown resistance CMA-ES attack. Due nature structure, an authentication protocol designed generate recognizable bits string. The shows classical attacks including new variant CMA-ES.