G-PUF

An Intrinsic PUF Based on GPU Error Signatures

Conference paper (2020)

Authors

Bruno 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 Computer Engineering - EEMCS
S. Hamdioui Quantum & Computer Engineering
M. Taouil Computer Engineering - EEMCS
Research Group
Computer Engineering (EEMCS) (TU Delft)
Security GPU Physically Unclonable Functions G-PUF Intrinsic PUF
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Published Date

2020

Language

English

Reuse Rights

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Quantum & Computer Engineering

Research Group

Computer Engineering

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%.

Files

09131562.pdf
(.pdf | 0.263 Mb)