AUTHOR=Gebali Fayez , Mamun Mohammad 

TITLE=Review of Physically Unclonable Functions (PUFs): Structures, Models, and Algorithms

JOURNAL=Frontiers in Sensors

VOLUME=Volume 2 - 2021

YEAR=2022

URL=https://www.frontiersin.org/journals/sensors/articles/10.3389/fsens.2021.751748

DOI=10.3389/fsens.2021.751748

ISSN=2673-5067

ABSTRACT=Physically unclonable functions (PUFs) are now an essential 
component for strengthening the security of Internet of Things (IoT)
edge devices.  
These devices are an important component of many infrastructure
systems such as telehealth, commerce, industry, etc.
Traditionally these devices are the weakest link in the security 
of the system since they have limited storage, processing,
and energy resources.
Furthermore they are located in unsecured environments 
and could easily be the target of tampering and attacks.
We review in this work the structure of common PUF systems
such as static RAM (SRAM), ring oscillator (RO) and
arbiter PUFS.
We discuss statistical models for modelling these  PUFs 
and identify the main parameters defining their performance.
We review some of the most recent algorithms that can be
used to provide stable authentication and secret key generation
without having to use helper data or secure sketch algorithms.
Finally we provide some results showing the performance of 
these devices and how they depend on the authentication
algorithm used and the main system parameters.