K. Oza

Hybrid Deep Learning Behavioral Detection of MITM, Spoofing, and Flooding Attacks in IoT Networks.

Current IoT intrusion detection research has shown very high performance on crafted datasets, but its practical usefulness is constrained by three unresolved data issues: highly skewed class distribution, overlapping profiles of similar attack patterns, and lack of convincing evidence that synthetic sample augmentation...