Aziz Alotaibi

Orcid: 0000-0002-3342-6716

According to our database1, Aziz Alotaibi authored at least 20 papers between 2017 and 2026.

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Bibliography

2026
NeuroShield-IoE: A Cognitive, Quantum-Resilient, and Self-Evolving Cybersecurity Framework for the Internet of Energy.
IEEE Netw., March, 2026

A practical multi-layered framework for post-quantum secure machine learning.
Eng. Appl. Artif. Intell., 2026

2025
Generative AI-Enhanced Neuro-Symbolic Quantum Architectures for Secure Communications and Networking.
IEEE Netw., September, 2025

Ensemble Deep Learning Approaches in Health Care: A Review.
Comput. Mater. Continua, 2025

Efficient bridge damage detection using a lightweight attention-based modeling framework.
Comput. Aided Civ. Infrastructure Eng., 2025

2024
Blockchain-enabled heterogeneous 6G supported secure vehicular management system over cloud edge computing.
Internet Things, April, 2024

Investigation and Empirical Analysis of Transfer Learning for Industrial IoT Networks.
IEEE Access, 2024

Blockchain-Secure Gaming Environments: A Comprehensive Survey.
IEEE Access, 2024

Exploring Secure V2X Communication Networks for Human-Centric Security and Privacy in Smart Cities.
IEEE Access, 2024

Optimization of Deep Learning-Based Model for Identification of Credit Card Frauds.
IEEE Access, 2024

2023
Efficient Internet-of-Things Cyberattack Depletion Using Blockchain-Enabled Software-Defined Networking and 6G Network Technology.
Sensors, December, 2023

Malicious Vehicle Detection Using Layer-Based Paradigm and the Internet of Things.
Sensors, July, 2023

2022
A blockchain-enabled framework for securing connected consumer electronics against wireless attacks.
Simul. Model. Pract. Theory, 2022

Software-Defined Networking: Categories, Analysis, and Future Directions.
Sensors, 2022

Deep Learning-Based Authentication Framework for Secure Terrestrial Communications in Next Generation Heterogeneous Networks.
IEEE Internet Things Mag., 2022

Blockchain-Enabled Deep Recurrent Neural Network Model for Clickbait Detection.
IEEE Access, 2022

2021
Prediction of Severity of COVID-19-Infected Patients Using Machine Learning Techniques.
Comput., 2021

2020
Deep Generative Adversarial Networks for Image-to-Image Translation: A Review.
Symmetry, 2020

2019
Identifying Malicious Software Using Deep Residual Long-Short Term Memory.
IEEE Access, 2019

2017
Deep face liveness detection based on nonlinear diffusion using convolution neural network.
Signal Image Video Process., 2017


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