Securing the Future of Library Cloud Infrastructure with AQFA: Adaptive Quantum-Resistant Authentication

The deployment of cloud infrastructure in libraries enhances scalability and availability of resources, but different hazards have evolved, and so has the need for sound security measures for shielding critical information from some risks such as quantum computing’s risks. This paper proposes the Quantum-Resistant Federated Authentication (AQFA) framework which uses the federated learning with quantum-resistant cryptographic technologies for the improvement of authentication in library cloud systems. AQFA employs a multilayer security model which ensures two things; user credential protection against quantum attacks, privacy, and accessibility. It also uses trust models to adapt its incident response to real-time user behavior; thereby making it easier to manage risks of unauthorized access. In addition, AQFA also adapts homomorphic encryption to help encrypt data for processing with the ability of library that enables libraries to perform operations on encrypted data. This thinking solution not only improves the general security of library cloud infrastructures but also enables reasonable scale and user adjustment in a more and more digital environment. The findings further affirm the ability of AQFA in mitigating risks to historical library assets and preventing information leakage in cloud configuration

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Publication Details

Journal
International Journal of Computational and Experimental Science and Engineering
Published
2025-03-25
DOI
https://doi.org/10.22399/ijcesen.696
Citations
1
Primary Topic
Cloud Data Security Solutions
Type
article
Field-Weighted Citation Impact
3.25
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article

Securing the Future of Library Cloud Infrastructure with AQFA: Adaptive Quantum-Resistant Authentication

G Vivekanandan, A. Lakshmanarao, G. R. Reddy, Ajay N. Upadhyaya et al.
1 citations
International Journal of Computational and Experimental Science and Engineering
Cloud Data Security Solutions
3.25
article

Securing the Future of Library Cloud Infrastructure with AQFA: Adaptive Quantum-Resistant Authentication

G Vivekanandan, A. Lakshmanarao, G. R. Reddy, Ajay N. Upadhyaya, Rahul Vadisetty, Sathyavani Addanki, A Mohaideen
article en
1 citations

Abstract

The deployment of cloud infrastructure in libraries enhances scalability and availability of resources, but different hazards have evolved, and so has the need for sound security measures for shielding critical information from some risks such as quantum computing’s risks. This paper proposes the Quantum-Resistant Federated Authentication (AQFA) framework which uses the federated learning with quantum-resistant cryptographic technologies for the improvement of authentication in library cloud systems. AQFA employs a multilayer security model which ensures two things; user credential protection against quantum attacks, privacy, and accessibility. It also uses trust models to adapt its incident response to real-time user behavior; thereby making it easier to manage risks of unauthorized access. In addition, AQFA also adapts homomorphic encryption to help encrypt data for processing with the ability of library that enables libraries to perform operations on encrypted data. This thinking solution not only improves the general security of library cloud infrastructures but also enables reasonable scale and user adjustment in a more and more digital environment. The findings further affirm the ability of AQFA in mitigating risks to historical library assets and preventing information leakage in cloud configuration

International Journal of Computational and Experimental Science and EngineeringVol. 11(2)
Sri Sai University (IN)
Openalex Percentile: Top 10%
Cloud Data Security Solutions
3.25
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Securing the Future of Library Cloud Infrastructure with AQFA: Adaptive Quantum-Resistant Authentication — G Vivekanandan, A. Lakshmanarao, et al. · International Journal of Computational and Experimental Science and Engineering (2025) | TGRS Research Map | TGRS