SAMM: Situation Awareness with Machine Learning for Misbehavior Detection in VANET. - Mohammed A. Abdelmaguid; Hossam S. Hassanein; Mohammad Zulkernine (ARES, 2022)

Attack Endgame: Proactive Security Approach for Predicting Attack Consequences in VANET. - Mohammed A. Abdelmaguid; Hossam S. Hassanein; Mohammad Zulkernine (ICC, 2023)

A VeReMi-based Dataset for Predicting the Effect of Attacks in VANETs. - Mohammed A. Abdelmaguid; Hossam S. Hassanein; Mohammad Zulkernine (MSWiM, 2023)

Security Prediction and Forecasting for a Trust Management System in VANET. - Mohammed A. Abdelmaguid; Hossam S. Hassanein; Mohammad Zulkernine (CCECE, 2024)

Securing the unforeseen: Enhancing VANET security with dynamic honeypots and attack rate analysis. - Mohammed A. Abdelmaguid; Hossam S. Hassanein; Mohammad Zulkernine (Veh. Commun., 2025)