Towards an Automatic Evaluation of the Performance of Electronic-based Physical Unclonable Functions

Physical Unclonable Functions (PUFs) are innovative hardware security primitives that extract secret information from physical
characteristics of a device, a chip, or integrated circuits; where different
instances of the same PUF device will produce different secret keys. PUFs
are used a lot in authentification and secret key generation depending
on their type, strong or weak. PUFs require fundamental properties such
as unclonability and evaluability, and the performance of a PUF is measured by a specific metrics like uniqueness, and randomness. This paper
surveys the fundamental concepts and the ongoing research behind PUF,
including the main properties of PUF, their application’s domain, and
classes. Further, we develop a tool that gauge the performance and the
strength of a PUF. The effectiveness of the developed approach has been
experimented on two datasets and shown a prominent results.