Evidence map›Paper›PMID 39948124›Full record

ArticleScientific reports2025

Autonomous password generation and setting system with cosmic coding and transfer (COSMOCAT) and cosmic time calibrator (CTC).

Hiroyuki K M Tanaka, Elena Cantoni, Giancarlo Cerretto, Alan Duffy, Marko Holma, Shanti Krishnan, László Oláh, Marco Sellone, Sara Steigerwald, Dezső Varga

Abstract read
In one paragraph

Article in Scientific reports, 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

10 authors.

Hiroyuki K M TanakaUniversity of Tokyo, Tokyo, Japan. ht@eri.u-tokyo.ac.jp.
Elena CantoniInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Giancarlo CerrettoInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Alan DuffyInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Marko HolmaInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Shanti KrishnanInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
László OláhInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Marco SelloneInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Sara SteigerwaldInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.
Dezső VargaInternational Virtual Muography Institute (VMI), Global, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As wireless sensor networks (WSNs) with Internet of Things (IoT) devices become increasingly widespread and more complex, the threat of cyber-attacks is also increasing. One of the most common ways WSNs can be hijacked is when passwords/IDs are leaked. If the passwords do not frequently change, it is easier for the system to be compromised. However, many organizations and individuals retain old passwords to avoid the hassle and challenge of continually remembering and managing new passwords. COSMO-PASS is a new technique that combines COSMOCAT and CTC to enable hardware-level protection of the WSN nodes. It removes the inconvenience of having its users create, remember, and change multiple passwords. Based on the test experiments and simulations with a 10

Identifiers

PMID39948124
PMCPMC11825669

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Registered trials

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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.