Comprehensive Review and Analysis of Network Firewall Rule Analyzers

Abstract

Firewalls are crucial for network security, regulating traffic to prevent cyber threats. This review explores firewall rule analyzers, examining their functionalities, methodologies, and implications. The authors delve into firewall policy reconnaissance, anomaly detection, and rule optimization techniques. Integrating advanced technologies like machine learning and SDN, they analyze automation's role and compliance implications. This review provides insights into enhancing network security posture through effective firewall management.