Evidence map›Paper›PMID 42224170›Full record

ArticlePloS one2026

Security enhancement using scalable Blockchain-based Multi-Factor Authentication (BMFA).

Fahad Rahman, Areej Fatima, Muhammad Hassan, Mahran Al-Zyoud, Arij Alfaidi, Mohammed Abdul Jaleel Maktoof, Taher M Ghazal

Abstract read
In one paragraph

Article in PloS one, 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

7 authors.

Fahad RahmanUniversité Paris Cité, Paris, France.
Areej FatimaDepartment of Computer Science, Lahore Garrison University, Lahore, Pakistan.ORCID https://orcid.org/0000-0002-7264-7941
Muhammad HassanDepartment of Computer Science, Pak-American Institute of Management Sciences, Lahore, Pakistan.
Mahran Al-ZyoudDepartment of Networks and Cybersecurity, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.
Arij AlfaidiDepartment of Computer Sciences, University College of Duba, University of Tabuk, Tabuk, Saudi Arabia.
Mohammed Abdul Jaleel MaktoofDepartment of Computer Science, AL-Turath University, Baghdad, Iraq.
Taher M GhazalDepartment of Networks and Cybersecurity, Hourani Center for Applied Scientific Research, Al-Ahliyya Amman University, Amman, Jordan.ORCID https://orcid.org/0000-0003-0672-7924

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

As digital interactions continue to expand, securing online systems has become a fundamental priority. Multifactor authentication (MFA) plays a pivotal role in modern cybersecurity frameworks. Traditional approaches often exhibit weaknesses such as centralized vulnerabilities and limited adaptability to emerging threats. To address these concerns, this research introduces a novel Blockchain- based Multifactor Authentication (BMFA) system that enhances security, resilience, and scalability. This study provides an in-depth exploration of BMFA's conceptual architecture, operational mechanisms, and potential applications. By decentralizing authentication processes, BMFA reduces single points of failure and fortifies data integrity through cryptographic safeguards. Unlike conventional models, this approach distributes authentication data across multiple blockchain nodes. This reduces the risk of breaches while ensuring continuous availability. Moreover, BMFA improves user privacy via distributed consensus, minimizing dependency on centralized authentication servers. The proposed system demonstrates enhanced load-balancing (LB)capabilities. This makes it more suitable for high-demand environments as compared to existing MFA methods. The proposed system demonstrates improved load-balancing behavior under simulated conditions and distributes authentication verification across multiple nodes. The results indicate potential resilience improvements compared with centralized MFA approaches. However, the findings are based on analytical and simulation evaluation, and real-world deployment assessment remains future work.

Indexed as

BlockchainComputer SecurityAlgorithms

Identifiers

PMID42224170
PMCPMC13225422

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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.