Analysis of SRAM-Based PUFs on AMD Xilinx UltraScale+ FPGAs IEEE CNS 25 Poster

Physically Unclonable Functions (PUFs) have proven to be a strong and promising foundation for hardware-based authentication and key derivation. Especially SRAM-based PUFs are an obvious choice for any device with SRAM, such as Field Programmable Gate Arrays (FPGAs). This work ported an SRAM-based PUF implementation method to AMD Xilinx UltraScale+ FPGAs. Start-up values of several devices were extracted and analyzed. The results show recurring patterns in the start-up values which questions their suitability for secure SRAM-based PUFs. Further inspection of the patterns origins were done.

Institutions

Publication Details

Published
2025-09-08
DOI
https://doi.org/10.1109/cns66487.2025.11195067
Primary Topic
Physical Unclonable Functions (PUFs) and Hardware Security
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysis of SRAM-Based PUFs on AMD Xilinx UltraScale+ FPGAs IEEE CNS 25 Poster

Physical Unclonable Functions (PUFs) and Hardware Security
article

Analysis of SRAM-Based PUFs on AMD Xilinx UltraScale+ FPGAs IEEE CNS 25 Poster

article en

Abstract

Physically Unclonable Functions (PUFs) have proven to be a strong and promising foundation for hardware-based authentication and key derivation. Especially SRAM-based PUFs are an obvious choice for any device with SRAM, such as Field Programmable Gate Arrays (FPGAs). This work ported an SRAM-based PUF implementation method to AMD Xilinx UltraScale+ FPGAs. Start-up values of several devices were extracted and analyzed. The results show recurring patterns in the start-up values which questions their suitability for secure SRAM-based PUFs. Further inspection of the patterns origins were done.

German Research Centre for Artificial Intelligence (DE), Blazegraph (United States) (US), Technische Universität Berlin (DE), Leipzig University (DE)
Openalex Percentile: Top 42%
Physical Unclonable Functions (PUFs) and Hardware Security
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.