G-PUF

None, None; None, None; None, None; None, None; None, None; None, None

G-PUF

An Intrinsic PUF Based on GPU Error Signatures

Conference Paper (2020)

Author(s)

Bruno E. Forlin (Universidade Federal do Rio Grande do Sul)

Ronaldo Husemann (Universidade Federal do Rio Grande do Sul)

Luigi Carro (Universidade Federal do Rio Grande do Sul)

Cezar Reinbrecht (TU Delft - Computer Engineering)

Said Hamdioui (TU Delft - Quantum & Computer Engineering)

Mottaqiallah Taouil (TU Delft - Computer Engineering)

Research Group

Computer Engineering

DOI related publication

https://doi.org/10.1109/ETS48528.2020.9131562

Security GPU Physically Unclonable Functions G-PUF Intrinsic PUF

To reference this document use:

https://resolver.tudelft.nl/uuid:18234f6f-745a-4433-aa62-8b3ffba29696

More Info

expand_more

Publication Year

2020

Language

English

Research Group

Computer Engineering

Pages (from-to)

1-2

ISBN (print)

978-1-7281-4313-2

ISBN (electronic)

978-1-7281-4312-5

Abstract

Physically Unclonable Functions (PUFs) are security primitives that provide trustworthy hardware for key-generation and device authentication. Among them, in contrast to dedicated PUFs, intrinsic PUFs are created from existing hardware components that exploit their variability through software. In this work we focus on GPUs and present G-PUF, a PUF implemented entirely in software on CUDA and hence does not require hardware modifications. Our results show that G-PUF has comparable characteristics to SRAM and DRAM PUFs in terms of uniformity 55.61% and reliability 90.09%.

No files available

Metadata only record. There are no files for this record.