aspg-28-4114-1792155151 20261016125231 American Scientific Publishing Group admin@americaspg.com American Scientific Publishing Group Journal of Artificial Intelligence and Metaheuristics JAIM 2833-5597 2025 10 1 Marwa M. Eid Faculty of Artificial Intelligence, Delta University for Science and Technology, Mansoura 11152, Egypt; Jadara Research Center, Jadara University, Irbid 21110, Jordan The importance of network security has greatly increased in the continuously changing modern digital environment. Network security is a multi-layered defense mechanism that protects networks, data, and systems from unauthorized access and other malicious activities. As cyber threats become more advanced, traditional protective measures may no longer be adequate, and intrusion-detection systems must rapidly evolve. This research proposes BBERSC (Balance Between Al-Biruni Earth Radius Optimization and Sine Cosine Algorithm), which combines the local-search capability of Al-Biruni Earth Radius Optimization with the probabilistic improvement of the Sine Cosine Algorithm. The approach tunes Random Forest hyperparameters, including the number of trees, maximum depth, and minimum samples, to improve pattern recognition in network traffic. ANOVA and Wilcoxon signed-rank tests validate the effectiveness of the models and algorithms and assess differences between them. The Random Forest model within the BBERSC framework achieves an accuracy of 0.9901719, exceeding the other evaluated machine-learning algorithms. 2025 28 36 4114 https://creativecommons.org/licenses/by/4.0/ 10.54216/JAIM.100104 https://www.americaspg.com/journal/28/article/4114 https://www.americaspg.com/storage/articles/manuscripts/01M4J3DFMM51Y1S59SD82BVKCS.pdf