Deep Learning Approaches for Intrusion Detection System Using Multi-Model Architectures for Network Security
It has become necessary to design efficient, robust, and effective Intrusion Detection Systems (IDS) amid the rising complexity of cyberattacks and the exponential growth in network traffic. In this work, we present an advanced IDS framework using comparative deep learning (in short, DL) models for precise classificati...