Hanaa Fathi Mahmoud

A Comprehensive Survey on Machine Learning and Deep Learning Approaches for Network Intrusion Detection Systems: Techniques, Datasets, and Open Challenges

The rapid expansion of networked infrastructure, cloud computing, and IoT environments has significantly increased the attack surface, while traditional signature-based Network Intrusion Detection Systems (NIDS) remain limited in detecting zero-day attacks, polymorphic threats, and malicious activities within encrypted...