IoT based smart home automation using blockchain and deep learning models. - Muhammad Umer; Saima Sadiq; Reemah M. Alhebshi; Maha Farouk Sabir; Shtwai Alsubai; Abdullah Al Hejaili; Mashael M. Khayyat; Alá Abdulmajid Eshmawi; Abdullah Mohamed (PeerJ Comput. Sci., 2023)

Physical Layer Authentication in Wireless Networks-Based Machine Learning Approaches. - Lamia Alhoraibi; Daniyal M. Alghazzawi; Reemah M. Alhebshi; Osama Bassam J. Rabie (Sensors, 2023)

Face mask detection using deep convolutional neural network and multi-stage image processing. - Muhammad Umer; Saima Sadiq; Reemah M. Alhebshi; Shtwai Alsubai; Abdullah Al Hejaili; Alá Abdulmajid Eshmawi; Michele Nappi; Imran Ashraf (Image Vis. Comput., 2023)

Enhancing Industrial Wireless Communication Security Using Deep Learning Architecture-Based Channel Frequency Response. - Lamia Alhoraibi; Daniyal M. Alghazzawi; Reemah M. Alhebshi; Liqaa F. Nawaf; Fiona Carroll (IET Signal Process., 2024)

Generative Adversarial Network-Based Data Augmentation for Enhancing Wireless Physical Layer Authentication. - Lamia Alhoraibi; Daniyal M. Alghazzawi; Reemah M. Alhebshi (Sensors, 2024)

Detection of GPS Spoofing Attacks in UAVs Based on Adversarial Machine Learning Model. - Lamia Alhoraibi; Daniyal M. Alghazzawi; Reemah M. Alhebshi (Sensors, 2024)

FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability. - Afraa Attiah; Shatha Alahmadi; Abeer Hakeem; Linda Mohaisen; Abeer Ghazy Almakky; Reemah M. Alhebshi (IEEE Access, 2025)

Integrating artificial intelligence for improved security of IoT-drones through cyber-physical attack detection. - Abeer Hakeem; Maha Farouk Sabir; Reemah M. Alhebshi; Abeer Ghazy Almakky; Imran Ashraf (Frontiers Comput. Sci., 2025)