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A Multi-Factor Authentication-Based Framework for Identity Management in Cloud Applications
Faculty
Computer Science
Year:
2021
Type of Publication:
ZU Hosted
Pages:
3193-3209
Authors:
Wael Said AbdelMageed Mohamed
Staff Zu Site
Abstract In Staff Site
Journal:
Computers, Materials & Continua Tech Science Press
Volume:
71
Keywords :
, Multi-Factor Authentication-Based Framework , Identity Management , Cloud
Abstract:
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.
Author Related Publications
Wael Said AbdelMageed Mohamed, "A big data approach to sentiment analysis using greedy feature selection with cat swarm optimization-based long short-term memory neural networks", Springer Nature, 2018
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Wael Said AbdelMageed Mohamed, "Improving the reconstruction of dental occlusion using a reconstructed‑based identical matrix point technique", Springer Nature Switzerland AG, 2021
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Wael Said AbdelMageed Mohamed, "Connection-Adjustable Network Slicing Process for Heterogeneous Service Handling in Real-Time Applications", American Scientific Publishers, 2022
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Wael Said AbdelMageed Mohamed, "Brain Tumor Segmentation Using Deep Capsule Network and Latent-Dynamic Conditional Random Fields", MDPI (Basel, Switzerland), 2022
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Ibrahiem Mahmoud Mohamed Elhenawy, "BERT-CNN: A Deep Learning Model for Detecting Emotions from Text", Tech Science Press, 2021
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Ahmed Raafat Abass Mohamed Saliem, "Using General Regression with Local Tuning for Learning Mixture Models from Incomplete Data Sets", ScienceDirect, 2010
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