Evidence map›Paper›PMID 42519106›Full record

ArticleHardwareX2026

A reconfigurable hardware infrastructure for evaluating PUFs in non-volatile memories.

Florian Frank, Stefan Katzenbeisser

Abstract read
In one paragraph

Article in HardwareX, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Florian FrankChair of Computer Engineering, University of Passau, Innstraße 43, 94032 Passau, Germany.
Stefan KatzenbeisserChair of Computer Engineering, University of Passau, Innstraße 43, 94032 Passau, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Physical Unclonable Functions (PUFs) are widely recognized for deriving strong cryptographic keys from inherent manufacturing variations in hardware. A popular class of PUFs is extracted from memory modules already integrated into computing systems, offering a cost-efficient method for generating strong cryptographic keys. Various techniques exist for extracting PUF responses from such memory modules, including repeated row activation and exploitation of charge leakage effects, known as row hammering, variations in supply voltage, intentional violations of memory timing specifications, as well as the use of random startup values and data retention characteristics. To perform such experiments, especially on novel non-volatile memory modules, a dedicated measurement ecosystem is required, which is presented in this work. The proposed setup uses a custom PCB to connect different types of memories to reconfigurable hardware. An optimized hardware design was developed and deployed on an FPGA, enabling the execution of PUF experiments on various memory modules. The system allows for dynamic adjustment of timing specifications and voltage levels, even during experiment execution. Finally, a program is provided that schedules the experiments, retrieves the results, and enables persistent storage and evaluation methods.

Indexed as

Field Programmable Gate Array (FPGA)Physical Unclonable Function (PUF)Printed Circuit Board (PCB)

Identifiers

PMID42519106
PMCPMC13383943

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.