Entropy-Guided Gradient Pruning with Informer for Intrusion Detection System in Internet of Things

The internet of things (IoT) is becoming increasingly significant in computer networks and applications. The existing deep learning (DL)-based intrusion detection system (IDS) suffers from high computational complexity and poor generalization, where irrelevant network flows are due to the inability of the filter. To address this challenge, this research proposes a novel entropy-guided gradient pruning (EGGP) with an Informer for IDS classification. The EGGP eliminates the less impactful and redu