Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)

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Maximizing Cloud Security: Synergistic Approaches to Multi-factor Authentication Deployment

Authors
M. P. Dhanveer Prakash1, Anurag Singh1, *
1School of Computer Science Engineering, Lovely Professional University, Punjab, India
*Corresponding author. Email: rax93singh@gmail.com
Corresponding Author
Anurag Singh
Available Online 26 May 2025.
DOI
10.2991/978-94-6463-716-8_70How to use a DOI?
Keywords
Multi-factor authentication (MFA); SSO; Vulnerability; Encryption
Abstract

Cloud computing has transformed traditional IT infrastructure, offering dynamic, configurable resources on demand. On the other hand, it brings unique cybersecurity challenges, particularly in protecting sensitive data from unauthorized access. Traditional single factor authentication does not address these risks. By implementing multi-factor authentication (MFA), which combines several factors for verification including password, tokens, and biometrics, this cloud security method has become increasingly popular. Existing authentication methods fall short in the cloud environment, so this paper presents a novel multi-factor, multi-layered cloud access authentication framework. The methodology for MFA implementation uses risk-adaptive authentication based on real-time risk assessment, adaptive policy for MFA selection, and seamless verification workflows for end-users. Moreover, the implementation of the advanced technologies that cover all aspects such as encryption, SSO, and adaptive authentication further safeguards it against evolving threats. Through experimental analyses, we show that the framework is effective to substantially reduce the vulnerabilities without compromising usability and scalability. This will help cloud service providers and organizations alike better equip themselves with an effective and agile security environment through the adoption of next generation MFA strategies.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
26 May 2025
ISBN
978-94-6463-716-8
ISSN
1951-6851
DOI
10.2991/978-94-6463-716-8_70How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - M. P. Dhanveer Prakash
AU  - Anurag Singh
PY  - 2025
DA  - 2025/05/26
TI  - Maximizing Cloud Security: Synergistic Approaches to Multi-factor Authentication Deployment
BT  - Proceedings of the International Conference on Recent Advancements and Modernisations in Sustainable Intelligent Technologies and Applications (RAMSITA 2025)
PB  - Atlantis Press
SP  - 945
EP  - 956
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-716-8_70
DO  - 10.2991/978-94-6463-716-8_70
ID  - Prakash2025
ER  -