Evidence map›Paper›PMID 40724442›Full record

ArticleEntropy (Basel, Switzerland)2025

Applicability and Design Considerations of Chaotic and Quantum Entropy Sources for Random Number Generation in IoT Devices.

Wieslaw Marszalek, Michał Melosik, Mariusz Naumowicz, Przemysław Głowacki

Abstract read
In one paragraph

Article in Entropy (Basel, Switzerland), 2025. 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

4 authors.

Wieslaw MarszalekDepartment of Computer Science, Opole University of Technology, PL-45-758 Opole, Poland.ORCID 0000-0001-6087-0567
Michał MelosikInstitute of Computer Science, Faculty of Computer Science and Telecommunications, Piotrowo 3a, PL-60-965 Poznan, Poland.ORCID 0000-0001-5368-4782
Mariusz NaumowiczInstitute of Computer Science, Faculty of Computer Science and Telecommunications, Piotrowo 3a, PL-60-965 Poznan, Poland.ORCID 0000-0001-5153-5847
Przemysław GłowackiInstitute of Materials Research and Quantum Engineering, Faculty of Materials Engineering and Technical Physics, Poznan University of Technology, Piotrowo 3, PL-60-965 Poznan, Poland.ORCID 0000-0003-0899-9106

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This article presents a comparative analysis of two types of generators of random sequences: one based on a discrete chaotic system being the logistic map, and the other being a commercial quantum random number generator QUANTIS-USB-4M. The results of the conducted analysis serve as a guide for selecting the type of generator that is more suited for a specific IoT solution, depending on the functional profile of the target application and the amount of random data required in the cryptographic process. This article discusses both the theoretical foundations of chaotic phenomena underlying the pseudorandom number generator based on the logistic map, as well as the theoretical principles of photon detection used in the quantum random number generators. A hardware IP Core implementing the logistic map was developed, suitable for direct implementation either as a standalone ASIC using the SkyWater PDK process or on an FPGA. The generated bitstreams from the implemented IP Core were evaluated for randomness. The analysis of the entropy levels and evaluation of randomness for both the logistic map and the quantum random number generator were performed using the

Indexed as

ASICchaoschaotic generatorsCMOSFPGAIoTOpenLanePRBGQRBGQuantis QRNGquantum metrologySkyWater PDK

Identifiers

PMID40724442
PMCPMC12295787

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.