Achieving secure and efficient access control of personal health records in a storage cloud. - Adel Binbusayyis (2017)

Identifying and Benchmarking Key Features for Cyber Intrusion Detection: An Ensemble Approach. - Adel Binbusayyis; Thavavel Vaiyapuri (IEEE Access, 2019)

Application of deep autoencoder as an one-class classifier for unsupervised network intrusion detection: a comparative evaluation. - Thavavel Vaiyapuri; Adel Binbusayyis (PeerJ Comput. Sci., 2020)

Blockchain-based Services for Sharing Education Records in Industrial IoT Environment. - Adel Binbusayyis (ICBTA, 2021)

Unsupervised deep learning approach for network intrusion detection combining convolutional autoencoder and one-class SVM. - Adel Binbusayyis; Thavavel Vaiyapuri (Appl. Intell., 2021)

Joint Optimization of Privacy and Cost of in-App Mobile User Profiling and Targeted Ads. - Imdad Ullah; Adel Binbusayyis (IEEE Access, 2022)

Driver's emotion and behavior classification system based on Internet of Things and deep learning for Advanced Driver Assistance System (ADAS). - Mariya Tauqeer; Saddaf Rubab; Muhammad Attique Khan; Rizwan Ali Naqvi; Kashif Javed; Abdullah Alqahtani 001; Shtwai Alsubai; Adel Binbusayyis (Comput. Commun., 2022)

Deep Embedded Fuzzy Clustering Model for Collaborative Filtering Recommender System. - Adel Binbusayyis (Intell. Autom. Soft Comput., 2022)

Bald eagle search optimization with deep transfer learning enabled age-invariant face recognition model. - Shtwai Alsubai; Monia Hamdi; Sayed Abdel-Khalek; Abdullah Alqahtani 001; Adel Binbusayyis; Romany Fouad Mansour (Image Vis. Comput., 2022)

An investigation and comparison of machine learning approaches for intrusion detection in IoMT network. - Adel Binbusayyis; Haya Alaskar; Thavavel Vaiyapuri; M. Dinesh (J. Supercomput., 2022)

A professional-driven blockchain framework for sharing E-Portfolio in the context of Industry 4.0. - Adel Binbusayyis; Thavavel Vaiyapuri (ICT Express, 2023)

Multi-criteria decision-making methods for the evaluation of the social internet of things for the potential of defining human behaviors. - Habib Ullah Khan; Muhammad Abbas; Faheem Khan; Shah Nazir; Adel Binbusayyis; Abdulatif Alabdultif; Whangbo Taekeun (Comput. Hum. Behav., 2024)

Hybrid VGG19 and 2D-CNN for intrusion detection in the FOG-cloud environment. - Adel Binbusayyis (Expert Syst. Appl., 2024)

Innovative Defense: Deep Learning-Powered Intrusion Detection for IoT Networks. - Adel Binbusayyis (IEEE Access, 2025)

Explainable AI for Unraveling the Significance of Visual Cues in High Stakes Deception Detection. - Suhaib Salah; Hagar Elbatanouny; Abrar Sobuh; Eqab R. F. Almajali; Wasiq Khan; Haya Alaskar; Adel Binbusayyis; Taimur Hassan; Jawad Yousaf; Abir Hussain (IEEE Access, 2025)

Implementing a hybrid deep learning technique for detecting malicious DNS over HTTPS (DoH) traffic. - Mohemmed Sha; Adel Binbusayyis (J. Supercomput., 2025)