IEEE

Defending Network Intrusion Detection Systems Based on Graph Neural Networks Against Structural Adversarial Attacks

The exponential growth of network-based cyberattacks has increased the demand for accurate and adaptive Network Intrusion Detection Systems (NIDS) [1], [2]. In recent years, Machine Learning (ML) has ...
IEEE

Zero-Day Attack Detection in IoT Networks Using a Residual Vision Transformer-Based Approach With Zero-Shot Learning

Abstract: The widespread adoption of Internet of Things (IoT) devices across domains ranging from domestic to industrial applications has increasingly made them attractive targets for sophisticated ...