aspg-3-3542-1791417740 20261008000220 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Fusion: Practice and Applications FPA 2770-0070 2692-4048 2025 18 2 Sultan Ahmed Almalki Computer Department, Applied College, Najran University, Najran 66462 , Kingdom of Saudi Arabia Tami Abdulrahman Alghamdi Computer Science Department, Faculty of Computing and Information, Al-Baha University, Al-Baha, 65779, Saudi Arabia Azan Hamad Alkhorem Department of Computer Engineering, College of Computer Science and Information Technology, Majmaah University, Al-Majmaah 11952, Saudi Arabia Cooperative Intelligent Transportation Systems (C-ITS) cannot work effectively if they do not have both efficient traffic management and solid security. We put forward in this paper an original framework that takes advantage of the Next Generation Simulation (NGSIM) dataset to improve traffic flow and system security by identifying False Data Injection Attacks (FDIA). By applying leading machine learning algorithms to authentic traffic data, we generate models that support improved vehicle coordination as well as provide assistance with security vulnerabilities in C-ITS systems. We are concentrating our method on the optimization of traffic dynamics by making intelligent decisions, while keeping the system secure from malicious cyber attacks. Analyses of the NGSIM data revealed that our proposed approaches produced important advancements in traffic flow efficiency and the accuracy of anomaly detection. Results prove that our framework minimizes congestion and concurrently enhances the reliability and security of collaborative vehicle systems. This investigation proposes a practical approach for fusing traffic optimization with cybersecurity, improving smart city evolution and the future of autonomous vehicles and vehicle connectivity. 2025 169 181 3542 https://creativecommons.org/licenses/by/4.0/ 10.54216/FPA.180213 https://www.americaspg.com/journal/3/article/3542 https://www.americaspg.com/storage/21738448617.pdf