Yahya Alnattaf

denial-Neutrosophic Optimization and Intelligent Systems

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...

A hybrid eBPF/ML intrusion detection system with two-model heterogeneous ensemble learning and real-time gateway-mode network blocking

A hybrid architecture that pushes 23-dimensional flow-feature extraction into the Linux kernel using an eXpress Data Path (XDP) eBPF program, and combines it with a heterogeneous, calibrated two-model ensemble in user space is presented.