Intrusion Detection

Intrusion detection focuses on automatically identifying malicious activities within computer networks and systems, aiming to enhance cybersecurity. Current research emphasizes the application of machine learning, particularly deep learning models like transformers, recurrent neural networks (RNNs), and graph neural networks (GNNs), often combined with ensemble methods and autoencoders for feature extraction and improved accuracy. This field is crucial for protecting diverse systems, from IoT devices and 5G networks to autonomous vehicles and industrial control systems, and advancements in intrusion detection directly impact the security and reliability of critical infrastructure and everyday technologies.