Implementation of a Physically Unclonable Function on an FPGA

2023

Closed access Metadata (CSL-JSON)
DOI 10.1109/sist58284.2023.10223521
Data confidence 70 medium
How this score is calculated

It is built from checkable properties of the record itself: whether the article has a DOI, how many independent sources confirmed its data, whether the required fields are filled in, and how recent the latest confirmation is. Disagreement between sources and a missing identifier lower it. A value of 80 or above means the record was published without further checking; 60 to 79 means it is published at reduced confidence, with a manual check advisable. A record verified by an editor by hand is never pushed below 90 by a recalculation. This scores our data about the article, not the article itself.

Abstract

This paper shows the implementation of a physically unclonable function (PUF) of the arbiter type and its modifications, the generation of random numbers and unique identifiers, and a statistical analysis of the generated sequences of random numbers. Within the framework of this work, experiments were carried out on different SoC, SoM crystals and within the same crystal with different placement on it, experiments with PUF modeling based on machine learning were simulated. The results and conclusions provide recommendations for the optimal and safe use of PUF.