ArticlePloS one2026
Security enhancement using scalable Blockchain-based Multi-Factor Authentication (BMFA).
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.
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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.
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Authors and funding
7 authors.
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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.
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