Strategic Implementation of Machine Learning-Driven Hierarchical Firewall Insights for Academic Network Environments: A Conceptual Framework and Illustrative Evaluation

Strategic Implementation of Machine Learning-Driven Hierarchical Firewall Insights for Academic Network Environments: A Conceptual Framework and Illustrative EvaluationThis paper presents the Academic Hierarchical Firewall Insight (AHFI) Framework, a conceptual machine learning-based approach designed specifically for academic network environments. Unlike enterprise firewall management solutions, AHFI addresses the unique multi-tier governance structure of educational institutions by applying Random Forest-based rule classification, adaptive usage prediction, and academia-specific anomaly detection to improve firewall policy optimization, strengthen cybersecurity, and support Zero Trust principles through an illustrative evaluation framework.