Madhu Sharma Gaur

Abstract The exponential growth in IoT gadgets has made the attack surface in contemporary. The proliferation of Internet of Things (IoT) devices has dramatically expanded cyber attack surfaces, while existing intrusion detection systems struggle to cope with evolving attack patterns, noise, and imbalanced network traffic. Deep learning models fail to generalize to novel attacks, and biological models lack the contextual understanding required to capture complex relationships within network data.