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A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications

Wael Said1, Elsayed Mostafa1,*, M. M. Hassan1, Ayman Mohamed Mostafa2

1 Faculty of Computers and Informatics, Zagazig University, Zagazig, 44519, Egypt
2 College of Computer and Information Sciences, Jouf University, Sakaka, 72314, Saudi Arabia

* Corresponding Author: Elsayed Mostafa. Email: email

(This article belongs to this Special Issue: Security and Privacy issues for various Emerging Technologies and Future Trends)

Computers, Materials & Continua 2022, 71(2), 3193-3209.


User's data is considered as a vital asset of several organizations. Migrating data to the cloud computing is not an easy decision for any organization due to the privacy and security concerns. Service providers must ensure that both data and applications that will be stored on the cloud should be protected in a secure environment. The data stored on the public cloud will be vulnerable to outside and inside attacks. This paper provides interactive multi-layer authentication frameworks for securing user identities on the cloud. Different access control policies are applied for verifying users on the cloud. A security mechanism is applied to the cloud application that includes user registration, granting user privileges, and generating user authentication factor. An intrusion detection system is embedded to the security mechanism to detect malicious users. The multi factor authentication, intrusion detection, and access control techniques can be used for ensuring the identity of the user. Finally, encryption techniques are used for protecting the data from being disclosed. Experimental results are carried out to verify the accuracy and efficiency of the proposed frameworks and mechanism. The results recorded high detection rate with low false positive alarms.


Cite This Article

W. Said, E. Mostafa, M. M. Hassan and A. Mohamed Mostafa, "A multi-factor authentication-based framework for identity management in cloud applications," Computers, Materials & Continua, vol. 71, no.2, pp. 3193–3209, 2022.

cc This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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