From Random Numbers to Random Objects.

Behrouz Zolfaghari, Khodakhast Bibak, Takeshi Koshiba

Abstract read

In one paragraph

Article in Entropy (Basel, Switzerland), 2022. 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

3 authors.

Behrouz ZolfaghariCyber Science Lab, School of Computer Science, University of Guelph, Guelph, ON N1G 2W1, Canada.ORCID 0000-0001-6691-0988

Khodakhast BibakDepartment of Computer Science and Software Engineering, Miami University, Oxford, OH 45056, USA.ORCID 0000-0003-3301-0232

Takeshi KoshibaDepartment of Mathematics, Faculty of Education and Integrated Arts and Sciences, Waseda University, Tokyo 169-8050, Japan.ORCID 0000-0001-8994-729X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many security-related scenarios including cryptography depend on the random generation of passwords, permutations, Latin squares, CAPTCHAs and other types of non-numerical entities. Random generation of each entity type is a different problem with different solutions. This study is an attempt at a unified solution for all of the mentioned problems. This paper is the first of its kind to pose, formulate, analyze and solve the problem of

Indexed as

integer compositionsLinear Feedback Shift Registers (LFSRs)parallel LFSRsrandom number generationrandom object generationS-restricted random number generator

Identifiers

PMID35885151

DOI10.3390/e24070928

PMCPMC9318063

What OpenQuestion holds

Textmetadata

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.