TaDPole: Traffic-aware Discovery Protocol for Software-Defined Wireless and Mobile Networks. - Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi; Haymanot Gebre-Amlak (ICCCN, 2020)

WAND: Wormhole Attack Analysis using the Neighbor Discovery for Software-defined Heterogeneous Internet of Things. - Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi (ICC Workshops, 2021)

CAMEL: Centrality-Aware Multitemporal Discovery Protocol for Software-defined Networks. - Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi (ICCCN, 2021)

SWANS: SDN-based Wormhole Analysis using the Neighbor Similarity for a Mobile ad hoc network (MANET). - Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi (IM, 2021)

ML-AWARE: A Machine Learning Approach for Detecting Wormhole Attack Resonance. - Ranju Kumari; Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi (CNS, 2022)

ML-Defense: Machine Learning for building Dependable Federated Network System. - Ranju Kumari; Faheed A. F. Alenezi; Sejun Song; Baek-Young Choi (ICTC, 2022)

Optimizing Security Protocol: A Synergy of Bio-Inspired Planet Optimization Algorithm With Ensemble Learning-Based Attack Detection for Connected and Autonomous Vehicles. - Fatma S. Alrayes; Mohammed Aljebreen; Mohammed Maray; Asma Alshuhail; Faheed A. F. Alenezi; Ahmed S. Salama (IEEE Access, 2024)

Federated learning with Blockchain on Denial-of-Service attacks detection and classification of edge IIoT networks using Deep Transfer Learning model. - Monir Abdullah; Hanan Abdullah Mengash; Mohammed Maray; Faheed A. F. Alenezi; Hanadi Alkhudhayr; Nouf Atiahallah Alghanmi; Alanoud Subahi; Jihen Majdoubi (Comput. Electr. Eng., 2025)